diff --git a/content/GA_1_7/Solution/Discharge/Analysis_discharge_solution.ipynb b/content/GA_1_7/Solution/Discharge/Analysis_discharge_solution.ipynb
index ba35dc4a7fbdab441355e5afaf523292c40c0b94..f57307dbbb555531b39b18b39df57728d354adf9 100644
--- a/content/GA_1_7/Solution/Discharge/Analysis_discharge_solution.ipynb
+++ b/content/GA_1_7/Solution/Discharge/Analysis_discharge_solution.ipynb
@@ -47,8 +47,8 @@
     "$$\n",
     "\n",
     "**The goal of this project is:**\n",
-    "1. Choose a reasonable distribution function for $d$ and $h$.\n",
-    "2. Fit the chosen distributions to the observations of $d$ and $h$.\n",
+    "1. Choose a reasonable distribution function for $u$ and $h$.\n",
+    "2. Fit the chosen distributions to the observations of $u$ and $h$.\n",
     "3. Assuming $d$ and $h$ are independent, propagate their distributions to obtain the distribution of $q$.\n",
     "4. Analyze the distribution of $q$."
    ]
diff --git a/content/GA_1_7/Solution/Emissions/Analysis_emissions_solution.ipynb b/content/GA_1_7/Solution/Emissions/Analysis_emissions_solution.ipynb
index 687046008340332d584c251a8bcc538d24e8f031..84d26655d388d3fb1bec4b6d6cbb7760439b15b3 100644
--- a/content/GA_1_7/Solution/Emissions/Analysis_emissions_solution.ipynb
+++ b/content/GA_1_7/Solution/Emissions/Analysis_emissions_solution.ipynb
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "4fc6e87d-c66e-43df-a937-e969acc409f8",
    "metadata": {
     "id": "4fc6e87d-c66e-43df-a937-e969acc409f8"
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "a2f08dc7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x700 with 2 Axes>"
       ]
@@ -127,7 +127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 28,
    "id": "a2a69142",
    "metadata": {},
    "outputs": [
@@ -135,19 +135,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "DescribeResult(nobs=2976, minmax=(0.0, 68.0), mean=30.604502688172044, variance=151.77932761814404, skewness=0.12898824408904086, kurtosis=-0.4573152711666002)\n"
+      "DescribeResult(nobs=2976, minmax=(np.float64(0.0), np.float64(68.0)), mean=np.float64(30.604502688172044), variance=np.float64(151.77932761814404), skewness=np.float64(0.12898824408904086), kurtosis=np.float64(-0.4573152711666002))\n"
      ]
     }
    ],
    "source": [
     "# Statistics for H\n",
     "\n",
-    "print(stats.describe(H))"
+    "print(stats.describe(H))\n",
+    "stats.describe(H).mean"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "id": "6f9fb23c",
    "metadata": {},
    "outputs": [
@@ -155,7 +156,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "DescribeResult(nobs=2976, minmax=(6.0, 180.0), mean=68.69657258064517, variance=2102.2860521143944, skewness=0.29528679621238874, kurtosis=-1.1608245630406528)\n"
+      "DescribeResult(nobs=2976, minmax=(np.float64(6.0), np.float64(180.0)), mean=np.float64(68.69657258064517), variance=np.float64(2102.2860521143944), skewness=np.float64(0.29528679621238874), kurtosis=np.float64(-1.1608245630406528))\n"
      ]
     }
    ],
@@ -188,7 +189,7 @@
    "metadata": {},
    "source": [
     "<div style=\"background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px\">\n",
-    "    <b>Solution: TO UPDATE</b>\n",
+    "    <b>Solution:</b>\n",
     "\n",
     "- $C$ presents a higher variance but also a higher mean. If we compute the coefficient of variation to standardize that variability, we obtain $CV(H)=151.8/30.6 = 4.96$ and $CV(C)= 2102.3/68.7 = 30.6$. Thus, $C$ has higher variability than $H$.</li>\n",
     "- Both $H$ and $C$ have a positive skewness, but close to zero. Thus, the data does not seem to present a clear right tail so we could assume that their distribution is symmetric. An appropriate distribution for $H$ and $C$ would be one which: (1) it is bounded in 0 (no negative values of $H$ or $C$ are physically possible), and (2) is symmetric. If we consider the distributions that you have been introduced to, Uniform or Gaussian (although this is not bounded) would be a possibility</li>\n",
@@ -228,27 +229,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "id": "3a47f881",
    "metadata": {},
    "outputs": [],
    "source": [
     "def ecdf(var):\n",
     "    x = np.sort(var) # sort the values from small to large\n",
-    "    n = x.size # determine the number of datapoints\\\n",
+    "    n = x.size # determine the number of datapoints\n",
     "    y = np.arange(1, n+1) / (n+1)\n",
     "    return [y, x]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 29,
    "id": "31ef8aaf",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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vyjlEIlGBF7pSqRRSqTRXu7m5eYkUVUoqbmlQWseekJAAGxsbVKxYsVgfytRqNZRKJSwtLSEWG91SdCWG4zatcQOmO3aOu2TGbWtri3/++QcJCQlwdHQssG9p/J3yujZs2IATJ07g/PnzuHLlChQKBdasWYOBAwcWK45arcZPP/2ElStX4s6dO5DL5Wjbti1mzZqltR4oERERmSaju7p9ef2oVz158gQpKSn5rj2Vw8vLC2KxON+1rApaXyovOQum5yygXlieKpUK0dHR8PT0NKm1Q0i/lEolMjMzYWdnZ1IzJoiIDEUkEsHOzg6ZmZlcgyoPkydPxsqVK3Hv3j2UL19e5zjDhg3DmDFjoNFoMGbMGLRv3x67du1C48aNC12HlIiIiN5+RleoatmyJYDsdZpedejQIa0++bG0tISPjw9u3bqFe/fuae3TaDQICwuDtbU1GjVqVKScHj16BED729OC8jx58iRSU1MLzZOoICqVCoBpfmtPRGQoOT9zc34G039Wr16NmJgYPHv2DMOHD9cpxtGjR7F69Wq0aNECf//9N+bNm4f169dj9+7diI+Px+jRo/WcNREREZU2RleoatOmDby8vLBp0yZcvHhRaE9MTMTs2bNhYWGB/v37C+2PHz/GzZs3c92CN3ToUADZ60BpNBqhfcWKFYiKikKfPn1gaWkptJ8/f16rX4579+5hzpw5ACDc9gcA3t7eaNGiBY4ePYoDBw4I7QqFAt9++y0A4NNPP9XlJSDSwtlURERvDn/m5q9t27Zwd3d/rRirVq0CAMyYMQMWFhZCe4cOHdCqVSuEhobi/v37r3UOIiIiKt2M7r40MzMzrF69GgEBAWjRogV69eoFGxsb7Ny5E/fu3cP8+fPh4eEh9A8KCsLatWtzrZEwYMAAbN26FZs3b0Z0dDRatmyJO3fuYNeuXfD09MTMmTO1zjt+/HjcuXMHTZo0QaVKlSAWi3H37l0cOHAACoUCEyZMQLNmzbSOWbZsGZo1a4YPP/wQgYGBKF++PPbt24dr165h9OjRePfdd0vypSIiIiIqVcLDw2FtbZ3rmgoAAgICEB4ejmPHjqFfv34GyI6IiIiMgdEVqgDAz88PJ0+eRHBwMLZu3QqlUok6depg3rx5CAwMLFIMsViMPXv2YO7cuVi/fj1+/PFHODo6YvDgwZg5cyacnZ21+o8ePRrbtm3D+fPncejQISgUCri4uKBTp04YOnQoAgICcp2jVq1aOHPmDCZPnox9+/YhNTUV1apVw08//YQRI0bo5bUgIiIiehukpqbi8ePHqF27NiQSSa79Ba3/+bLMzExkZmYK2zkPyVEqlXpdWywnlqmtV2aq4waMc+zpCg0exauQoQSiY1WwkAB/R2fBxlKEaw9UsDAD3m8ohX89i8KD5cMYx/0mcNymNW7AdMde1HHfv38fDx8+REREBNRqNd577z34+PiUSC6FMcpCFQD4+Pho3VKXn5CQEISEhOS5TyqVIjg4GMHBwYXG6d69O7p3717cNOHt7Y3t27cX+zgynJzF7l+Xp6dnnhfaRERElFvOMg35PXXZ1tZWq19+5syZg2nTpuVqDw0NhZWV1WtmmVtYWJjeY5YGpjpuoOTGrtEACUobKNRmSMuyhAgapKukeJLhBKk47w9v8Yr8n1IOAIos4MbNm1A+/Oe18zPV95zjNj2mMHaNRoPU1FSo1WqkpKQAAFauXImMjAyYmZkhNTUV5ubmBRaOrl69iufPn+s1r7S0tCL1M9pCFVFJiY6OxpjFVyB3dNM5Rkr8AyweA1SpUkWPmRVPQQW3nB9IcrncYI+uN9VC3sCBA7F27VpER0dr3aZcWoWGhmLatGm4fv06EhIS0KVLF+zevTvf/m/b+I1Rq1atcOzYMbx48aJI/UNCQjBo0KBct8gXVUxMDDw9PTFgwIB8vxgiepOCgoIwbtw4YTspKQlubm5o166dUOzSB6VSibCwMPj7+5vUg01MddyAfseuVmtw85EKqRkanI/KgkqtwbUH+T+kIbWQeA7WIihVgI1MBA8XMdIUQJ1KZpCaAXXc68DCrK7OuZrqe85xm9a4gbdv7I8ePcK9e/eQlJSER48ewdraGnfu3IFUKtWaefyqnH35Fanq1q0LqVQKX19f2NjY6DXnnFnQhWGhikyS3NENdi5ehk7jtRSt4Fa0HwT6po9CXs6HYwBo166d8NTPl0VERKBp06b8AF1CYmJi0KVLF9jb22PQoEGwtbVF9erVDZ0WkZacnxUBAQE4ePBgnn3Cw8Ph5+eHYcOG4eeff37DGVKOnJlU+c2Yyrl4zW/GVQ6pVAqpVJqr3dzcvEQ+eJRUXGNnquMG9DP2s5GZWBmWnu9+d2cJ/olToa67OTKVGlR1NUd5h7y/4HMrI4GLXcl/+Weq7znHbXre9NhVKhWysrKgUqmQnJyc54NbNBoNEhISIBaL8eLFC4hEIiQlJeHGjRuwtrbG/fv3YWtrW6RCz6tFqvLlyyM2NhYNGzaEUqlE+fLlhQkNtra2EIlEwhc9lpaWJTrRoaivOwtVRKXY21BwK4rQ0FAcOXIErVu3NnQqJuWPP/5ARkYGFixYgN69exs6HdLRRx99BF9fX5QvX97QqZCJs7a2Rvny5REdHQ2VSpVr1m3O2lQ5a1URlUZbT6bi1E0F0hX/PU28RkUzJKdr0LqODBbmQD13C8gs+IRRordRZmYmMjIyEBMTgwcPHiA2NhYPHjx4rZhxcXEA8p+NVLduXSiVSpQpUwYODg6QyWRwcXGBubk5bG1toVQqsX///lI1k4yFKiIyah4eHrh//z6+/vpr/PXXX3x0/Bv06NEjAICrq6uBM6HXYWdnV+gMFaI3pWXLltiyZQtOnTqFFi1aaO3LmTn7ajuRsctUanDsWgZSMjT447L2TIbuTS0R0MDSQJkRUXEoFApoNBqkp6dDoVAgMzMTaWlpUKlUuHjxImQymdA3OTkZMTExsLOzK3RtxVdZWFjkWTBSKBRQKpVwdXXFkydPUK1aNSiVSlSsWBEuLi4QiUTCNV3OTKiSngFlKG/fiIjoreLt7Y1+/frh3Llz2LZtW5GO8fLyynd9pFatWuUqdk2dOhUikQjh4eFYs2YN6tSpA0tLS3h6emLx4sUAsqfjLliwAN7e3pDJZKhatSrWrVuXbw5qtRrfffcdqlatCplMBk9PT0yfPj3fe8GPHz+Ozp07o0yZMpBKpahatSomT56ca8HB8PBwiEQiTJ06FadPn0a7du3g6OgIBweHIr02V69eRc+ePeHi4gKpVApPT098/vnnwjc1QPatVCKRSHgQhZ+fH0QikfAaFYVGo8HixYtRvXp1SKVSuLu7Y9q0aVCr1Xn237NnD9q0aSN8C1S7dm3Mnz8fKpX2eh6JiYmYN28eWrZsCVdXV8hkMtSoUQMDBgzA3bt3tfrOmDEDIpEo3/dp165dEIlE+Oabb5CYmAhra2vUqlUrz75qtRoeHh5wcHBAenr+t3KcOHECIpEIn3zySZ77Y2NjYW5ujmbNmmm1JycnIzg4GLVq1YKlpSXs7e0REBCAkydP5nsupVKJadOmwcPDA1KpFNWqVcOyZcty9QsJCYFIJMrz9tioqCgMHToUnp6ekEqlcHFxQatWrYp8K21x8n78+DHGjh2LqlWrCn1r1KiB4cOHF/sCj4zf8+fPcfPmzVyLsA4dOhQA8O2330KhUAjtBw4cQHh4ONq1awd3d/c3mivR6zp/V4Htp9Nx4O8MoW3cBzaY18+ORSoiI6JQKKBQKHDx4kVs3LgRa9aswfTp07F8+XJMmzYNc+bMwdy5c7Fo0SIsX74cv/76K7Zs2YLt27cjMjISV65cEf7ExMQAyP929pxZw++++y78/PwwevRofPPNN5gyZQqCgoIwYcKEXH8mTZqE4OBgDBkyBN9++y0CAwPRt29ftGrVCjVr1kSNGjXg6uoKV1dXyOVyWFtbv5VFKoAzqoioFJg+fTq2bNmCyZMno2vXriU2ZXXhwoUIDw9Hly5d0Lp1a+zcuRNjx46FlZUVLly4gJ07d6JTp05o06YNtmzZggEDBsDDwyPPb/8///xznDp1Cj179oRcLsfevXsRHByMy5cvY8eOHVp9ly9fjlGjRsHe3h6dO3eGi4sLzp07h1mzZuHo0aM4evQoLCy0Hzt9+vRpzJ49G35+fhgyZEiuIk1eTp48iYCAACgUCnTv3h0eHh74888/sWjRIvzvf/9DREQEypQpA3t7ewQHByM8PBzHjh0TxgmgyAukf/nllzh27Bg6deqEgIAA7N69G1OnToVCocCsWbO0+gYFBWHu3LmoUKECunbtCjs7O5w4cQJffvklzpw5o/Vk1Rs3bmDKlCnw8/PDRx99BCsrK1y9ehWbN2/G/v378ffffwsfcvv27Yvg4GBs2LAB/fv3z5Xj+vXrAQD9+vWDnZ0devXqhV9//RWnT5/Gu+++q9U3LCwM9+7dw6hRo2Bpmf+HjubNm8PDwwM7d+7EsmXLtL55A4DNmzcjKysL/fr1E9ri4+PRokULXLt2Dc2aNcPw4cORlJSEPXv2wM/PD9u3b8eHH36Y61yffvopLly4gA4dOkAikWDbtm0YNWoUzM3NMWTIkHxzzHHy5Em8//77SE5ORkBAAHr16oUXL17gwoULWLRoUaELrxcn77S0NDRr1gwxMTFo164dPvroIygUCkRHR2P9+vWYMGECZ32VAqtXrxaKkFeuXBHacgrYzZs3x6effgoAWLp0KaZNm4bg4GBMnTpViOHn54dPP/0Uq1evRsOGDfH+++/j8ePH2Lp1KxwdHbFkyZI3Oiai17H3bDpO3shEhjL7Nj8XOzHqupujopMZalQsHbfXEJmKxMRE/PTTT1Aqlbh+/brWvtjY2DyPsba2RmpqKpycnCCRSGBtba11e7pKpYKzszNsbGxgYWEhzG4q6FqRioaFKiIyepUqVcJnn32G+fPnY8WKFRg9enSJnOfEiRP4+++/4eWVve7XhAkTUKVKFUyYMAFly5bFlStX4OzsDAAYMGAAfH19MX/+/DwLVREREbh06RIqVqwIAJg1axb8/f2xc+dO7Ny5E926dQMAXL9+HWPGjEHdunVx+PBhODk5CTHmzp2LoKAgLFmyBOPHj9eKHxYWhl9//RWDBg2CWq0udGFFtVqNgQMHIi0tDQcPHkRAQICw76uvvsL333+Pr7/+Gr/88gvs7e0xdepUTJ06FceOHcPAgQPRqlWrYr2Wf//9Ny5fviysi/Ttt9+iatWqWLJkCYKDg4XCW1hYGObOnYuAgADs3LkT1tbWALJnZI0cORI///yz1utVo0YNPH78GI6OjsK4kpKScP78ebRr1w4zZ87EqlWrAGQ/ebJZs2Y4cuQIHj9+rLVGU3x8PPbv349GjRoJC8QPGzYMv/76K1atWpWrULV69WoAKLQAJBKJ0LdvX8ycORO///47evbsqbV//fr1sLCw0Gr/7LPPcO3aNaxatUr4kA8Ac+bMQaNGjTB06FC0b98+V9Hr0aNHuHz5Muzt7QEAY8eORe3atbFgwYJC88zMzESvXr2QkpKC/fv3o3379lr7//mn8MecFyfvw4cPIzo6Gp9//jl+/PFHrTgpKSl6KT7fuXNHqyDyspxvPen1nDx5EmvXrtVqO3XqFE6dOiVsv/xvIT8rVqxAnTp1sHLlSixatAhyuRwfffQRZs2ahcqVK+s9b6KSEn41A0np/61F1biKBT5sYmXAjIjoVenp6YiKisLjx4+FOxskEglUKhXatGkDmUwGqVQKa2tryOVyODo6QiQSmeTTy43J2zlPjIjeOpMmTYK9vT1mzJiBlJSUEjnH2LFjhSIVALi5uaF58+ZITEzEN998IxSpAKBJkybw8vLCpUuX8o2VU6QCsu9Fz5lJ9PJtVStWrEBWVhaWLFmiVaQCsgtIzs7O2Lx5c674DRs2xKBBg4o8tlOnTuHu3bvo0KGDVpEKAKZMmQJHR0ds2rRJ61ac1/Htt99qFYbKlCmDLl26IDk5Gbdu3RLaly5dCgBYuXKlUKQCsgs+c+fOhUgk0hq/nZ2dUKR6mZ+fH2rVqoU//vhDq71fv35QqVS5XsOtW7dCoVCgb9++QpuPjw8aNGiA7du3axX+nj17ht9//x2NGzdGvXr1Ch17zmypDRs2aLXfuHED58+fR8eOHYUxPH/+HFu3bkXr1q1zfcB3cXHBl19+iWfPnuUaF5D9vuU8oQXIvk22WbNmuHXrFpKTkwvMcc+ePXj48CH69u2bq0gFQOvfbl50zTuvbxjlcnmeT3Arrrt372LatGl5/nm1uEK6CQkJgUajyffPyz/bpk6dCo1Gk2fxUCwWY8yYMbh69SoyMjLw/PlzbNmyhUUqKhWS0tRYdiAZ835LQmpmdpFqiL81ggNt0cWHsyiIjM3evXuxY8cO4UsVKysrfP311wgODkbz5s3RqFEj1KlTB15eXnBxcYGZmRmLVEaAM6qIqFRwcHDAxIkTMXHiRMyfPz/fmROvo379+rnacoot+e07c+ZMnrHee++9XG1NmzaFmZkZLly4ILRFREQAyF5E+PDhw7mOMTc3x82bN3O1N27cOM/z5ifnnHnNjJLL5WjUqBFCQ0Nx69Yt1KlTp1ix8/LOO+/kasspfiQkJAhtERERsLa2xq+//ppnHEtLy1zjDw8Px8KFC3HmzBk8f/4cWVlZwr5Xb5Hs2bMnxowZg/Xr12PcuHFC+4YNG2BmZoaPP/5Yq/+wYcMwfPhwbNq0CcOHDwcArFu3DgqFoki30wFAtWrV4OPjg4MHD+L58+coU6aMcE4AWrf9nT17FiqVCpmZmXn+m855CtrNmzfRqVMnrX15Fc1efo1tbGzyzfGvv/4CALRr165IY3pVcfNu0aIFypcvj7lz5+LSpUvo1KkTWrZsiRo1aujtAQkBAQE4ePBgnvvCw8Ph5+enl/MQkWm7fE+JC9H/rTcpFgHVK5jD1orf/xMZE4VCgfT0dOG608XFRetLUTJuLFQRUakxZswYLF26FAsWLMDIkSP1Hv/l2Sk5zMzMCtz3cpHkZWXLls3VJpFI4OTkpLXoYnx8PADkWrepMHnFL0jODKH8jsspyBV2C2FRFfRavrxAenx8PLKysjBt2rR8Y6Wmpgp/3759OwIDAyGXyxEQEAB3d3dIJBLIZDKsXbsW9+7d0zrW3t4enTp1ws6dO3H9+nXUrFkTd+/exenTp9GxY0e4uLho9e/duzcmTJiA1atXC4WqX375BXK5PFdRqyD9+vXDX3/9ha1bt2LUqFHQaDTYuHEjHBwc8P7772uNH8h9+1RBr0GOor7Gecn5N1ihQoXCB5OH4uZtZ2eHiIgITJkyBXv37sX+/fsBZM9anDhxYon8/0xEpE/7zqfjxPVMpCuyZ1F5uEjQvoElytmLWaQiMjJJSUn46aeftO4U8PPzQ+XKlYVrEDJu/KlKRKWGpaUlpk2bhpSUlAILG2KxON8C0pt6utjTp09ztalUKsTFxWktGp1TbEhKSirwlppXFXcWSs558soLAJ48eaLV702xtbWFk5NTgWOPjo4W+k+dOhUymQznz5/H9u3b8d133yEoKAjBwcG51nDKkTODKWfx9LxmNuWwsbFBnz59cP78eVy8eBGnTp3CjRs30KtXL8jl8iKPq1evXjA3NxfOdfz4cdy7dw89e/bUus0t5/UeP358ga9BzhMY9SVnXauHDx/qdLwueVeqVAkhISF49uwZLly4gHnz5kGtVmPUqFF53t5KRGRMjl3NRFyyGmn/3u5XvYI53qlsgQpO/N6fyFgkJCTg9OnTCA8PF4pUEokEDg4OOn85R4bBQhURlSoDBgxArVq1sGrVKty5cyfPPg4ODoiNjc1VrEpNTRVuSSppJ06cyNX2559/IisrCw0aNBDamjRpAuC/WwBLSs45c57O9bLU1FScO3cOlpaW8Pb2LtE8XtWkSRPExcUV+X25e/cuatSoofXEFQB4/PgxoqKi8jymY8eOcHJywqZNm6BWq7Fx40bY2NigS5cuefYfNmwYAGDVqlVFXkT9VWXKlEH79u0RERGBO3fuCAWrl9fEArJv4RSJRPjzzz+LFf91+fj4AABCQ0N1Ov518haLxahfvz6++uoroUD1+++/65QHEdGbokF2gWpwG2sE97RFV1+uR0VkbA4ePIiwsDBhyYsKFSpg8uTJGDNmTIFLIpDxYaGKiEoViUSC2bNnQ6lU5rtOVaNGjaBUKrFx40ahTaPRICgoKM9bqErCokWLtJ6cplAo8M033wAABg4cKLSPHDkSZmZm+Oyzz3D//v1ccRISErTWtNJVs2bNULlyZRw4cCDXAtczZ85EXFwcPv7441xrPJW0MWPGAAA++eQTxMXF5dr/5MkT3LhxQ9h2d3fHnTt3tGaGZWRkYOTIkcKTXF5lbm6OwMBA3L9/H9999x0iIyPRrVu3fB8d3KBBAzRu3BgbN27E9u3bUbduXaGwUxw5M7ZWr16N7du3C08hfFm5cuXQs2dPnD59Gt9//32es+fOnDmDtLS0Yp+/IB988AEqVqyIDRs24NChQ7n2FzbTqrh5X7t2Lc/ZfDltL8+Gi4mJgUgkgoeHR3GGRESkdwmpavzwexKmbklE8r9P93N1lKBiGTO9ra9HRK9Ho9Hg9OnT2Ldvn3D94uHhgQYNGsDf39/A2ZGuOFeVqBRLiX9g6BTylJ2XfYnF/+CDD9C8eXOcPHkyz/2jRo1CSEgIPv30U4SFhcHZ2RknTpxAQkIC6tWrl++T+vTJ19cX9erVQ2BgIKytrbF3717cunULXbt2Rbdu3YR+tWvXxrJlyzBixAh4e3ujY8eOqFy5MpKTkxEVFYVjx45h4MCB+Pnnn18rH7FYjJCQEAQEBKBjx47o0aMH3N3d8eeffyI8PByVK1fG3LlzX3fYxda+fXt8++23mDFjBqpUqYL27dvD3d0dcXFxuHPnDk6cOIGZM2eiRo0aAIDPPvsMn332GRo0aIDu3btDqVQiNDQUIpGowPe2X79+WLZsGaZMmSJsF2T48OEYPHgwgOLPpsrRuXNn2NnZ4YcffoBSqcSYMWPy/GCzbNky3Lp1C1999RXWr1+Ppk2bwt7eHg8ePMC5c+cQGRmJx48fw8pKf488l0ql2LZtG9q3b48OHTqgffv2qFevHpKSknDx4kWkpaUVWiAtTt5hYWH48ssv0axZM1SrVg1OTk6IiorC77//DplMhlGjRglx1Wo1gP/W2yIiMpTrD5S48c9/s7MlYsDemt/zExkLhUKBx48fIywsTKu9efPmfJJsKcerQKJSytPTE4vH5L1PrVYjJSUFcrkcYrEhLqjs4enpWaJnmDdvXq7ZKTlq166NgwcPIigoCDt27IBcLkfHjh0xf/589OzZs0TzyrFw4UJs374dq1evxv3791G+fHlMnToVQUFBufoOGTIE9evXxw8//IDjx49j7969sLOzQ6VKlfDFF19gwIABesmpefPmiIiIwPTp0xEaGorExES4urpi7NixmDx5svB0ujdt+vTpaNGiBRYvXozDhw8jISEBTk5O8PT0xNSpU9GnTx+h76hRo2Bubo4lS5Zg1apVsLe3h7+/P77//nsEBgbmew5fX19UrVoVkZGRqFixYp5PP3xZr169MHLkSIjF4ly36xWVTCZDjx49hNsH84vj6OiI06dPY+nSpdi6dSs2btwItVqNcuXKoV69evj2229L5L1p2rQp/v77b8yZMweHDh3CH3/8AQcHB9SsWVNYSL4gxck7ICAAMTExOH78OHbt2oWUlBRUqFABgYGB+Oqrr1CzZk0h7tWrVwFkvwdERIaUM1nU00WCD5tYwcWOC6cTGYvjx4/j6NGjwralpSV8fHxgY2NT4p9DqOSJNHnN1yeDSEpKgp2dHRITE/W6oLFSqcT+/fvRsWNHmJub6y1uaZDX2O/cuYNJGxJg5+Klc9zE2CjM7muPKlWq6CvVXDIyMhAdHQ1PT898F4nOj1qtRlJSEmxtbQ1UqDIMjtu0xg2U3NjPnTuHxo0bo1+/fli3bp3e4urL2/yeT5gwAcuXL8e9e/dyFejexLiL+rO3pH5nU/Hx+km/THXcwH9j92vbAfeeZ8+o+uNyJuq4m2PM+2/v+jam+p5z3KVz3Gq1GkqlEps3b9Z62rOvry8CAgIKPLa0j11XxjTuov7O5owqIiKiV3z//fcAgBEjRhg4E9Nz4sQJDBkyxGAz/IiIlh9Kx50nKmFbzOWoiIxCeno6li1bhpSUFKHtww8/RO3atSGRSAyYGekbC1VEREQA7t+/j02bNuHatWvYtm0bAgIC0LRpU0OnZXLOnDlj6BSIyMS9SMleK6+cvRjWMjFa1ZYaOCMiAoDnz59rFamsrKzg5ubGItVbiIUqIiIiAFFRUQgKCoJcLkfnzp2xcuVKQ6dEREQG9EkbOTzL8uMSkaElJSXh2rVrwhOiHRwchLVE37YlECgbf/ISEREBaNWqFbhsIxGRaVKrNbgYo8S91HLIUPJ3AZExiI6ORlxcHPbt26fVbm5uzqcDv+X47hIRERERkUm7/o8SK8MyAFQV2sx4NxGRwbx48SLXA23Mzc1Rq1Yt1K1b10BZ0ZvCQhUREREREZm05PTsWVQWYgVqVrJCeQczVHBipYroTXvx4gUuXbqEhIQEAICZmRmqVq0Ka2trtG3bFlIp14wzBSxUEelAo1ZpPQ5VV56enlz8j4iIiMhI2JmnYqi/k8Ef4U5kapRKJdLS0rB7927cv39faHdwcEDPnj0NmBkZAgtVRDpITXiEBXsAuWOCzjFS4h9g8RigSpUq+kuMiIiIiIioFMnIyMCSJUuQlpYmtFlYWKBhw4aoWbOmATMjQ2GhikhHckc32Ll4GToNIiIiItJRUpoaNx8qEfUky9CpEJmc5ORkXL16FQkJCUKRSiKRwNraGv3794eTk5OBMyRDYaGKiIiIiIhM0orQFNx+9F+RSgS1AbMhMi1HjhzBxYsXhW0HBweMGTPGcAmR0WChioiIiIiITFJCanZhyt1ZAmspYJvxEICHQXMietvdvn0bsbGxePjwIQCgYsWKKFOmDGrVqmXgzMhYsFBFREREREQmrVdzK7iXAfbvTzR0KkRvtcTERGzevFmrrVGjRqhXr56BMiJjxEIVUSmlVquFx7bmtS85ORlZWVkQi8VvNrF/2dvbG+zcRERERERkPKKionD48GFkZGQAyF6Lqk6dOrCyskL16tUNnB0ZGxaqiEqphIQEHDx4EHK5PNc+jUYDhUIBCwsLiESiN55bSkoK2rdvD0dHxzd+bkMbOHAg1q5di+joaHh4eBg6ndcWGhqKadOm4fr160hISECXLl2we/duQ6dFRESkM7VGg8sxSiSkqpGu0Bg6HaK3Wnx8POLi4nDq1Ck8evRIaC9btiy6dOliwMzImLFQRVSKyeVy2Nra5mrXaDTIzMyEVCo1SKFKH2JiYuDp6QkAaNeuHQ4dOpSrT0REBJo2bYoBAwYgJCTkDWf49ouJiUGXLl1gb2+PQYMGwdbW1uS/8Tp8+DB++eUXnD59Gk+fPoVYLEalSpXQokULfPLJJ2jSpImhUyQiokLcepiFnw6kaLWZSUQAWLQi0qf09HQsW7YMKpVKaGvSpAmqVauGChUqGDAzMnYsVBGR0QsNDcWRI0fQunVrQ6diUv744w9kZGRgwYIF6N27t6HTMaj09HR88skn2LJlC6ysrNC2bVtUq1YNQPaCoBs3bsTKlSuxbt069OvXz8DZEhFRQZLTsxdQl8tEqOZqBmc7CSo5S6DKyirkSCIqioyMDNy8eRMJCQlQqVQQiUQoX748rKys8O677+b5RTvRy1ioIiKj5uHhgfv37+Prr7/GX3/9VWpniJVGOdOzXV1dDZyJ4Q0ePBhbtmyBv78/1q9fj7Jly2rtT0hIwJw5c/JdN46IiIxPRScJRrS3EbZVBfQloqILDw/HmTNnhG1ra2sMGTLEgBlRacOVjonIqHl7e6Nfv344d+4ctm3bVqRjvLy88l0fqlWrVrmKXVOnToVIJEJ4eDjWrFmDOnXqwNLSEp6enli8eDGA7NspFyxYAG9vb8hkMlStWhXr1q3LNwe1Wo3vvvsOVatWhUwmg6enJ6ZPnw6lUpln/+PHj6Nz584oU6YMpFIpqlatismTJyMtLU2rX3h4OEQiEaZOnYrTp0+jXbt2cHR0hIODQ5Fem6tXr6Jnz55wcXGBVCqFp6cnPv/8c8TFxQl9YmJiIBKJEBwcDADw8/ODSCQSXqPCKBQK/Pjjj2jcuDFsbGwgl8tRs2ZNjBs3Di9evBD6HT16FJ988gm8vb0hl8shl8vRqFEjrFy5Ms+4IpEIrVq1wsOHD9G/f3+UK1cOZmZmOHnyJAAgMjISgwYNgqenJ6RSKRwdHVGvXj18/vnn0Gh0v53j6NGj2Lx5M6pVq4bdu3fnKlIB2Q8PmDdvHoYOHarzeYiIiIhKK41Gg4MHD2LNmjW4cuUKAMDFxQU1atRAQECAgbOj0oYzqojI6E2fPh1btmzB5MmT0bVrV5ibm5fIeRYuXIjw8HB06dIFrVu3xs6dOzF27FhYWVnhwoUL2LlzJzp16oQ2bdpgy5YtGDBgADw8PNCiRYtcsT7//HOcOnUKPXv2hFwux969exEcHIzLly9jx44dWn2XL1+OUaNGwd7eHp07d4aLiwvOnTuHWbNm4ejRozh69CgsLCy0jjl9+jRmz54NPz8/DBkyBHfv3i10fCdPnkRAQAAUCgW6d+8ODw8P/Pnnn1i0aBH+97//ISIiAmXKlIG9vT2Cg4MRHh6OY8eOCeMEUOgC8enp6fD398epU6dQtWpVDBo0CFKpFJGRkVixYgX69+8vFNXmzZuHO3fuwNfXFx999JHwgIBhw4bh1q1bWLBgQa74cXFxaNq0KRwdHdGrVy+kp6fDxsYGjx49go+PD1JTU/H+++8jMDAQqampiIyMxLJlyzB//nyYmen2K++XX34BAEyYMAFWVlYF9pVKpTqdg4iISt6+c+kIvZSBLBXXoiLSt6SkJK1ZVADQokUL1KpVy0AZUWnGQhURGb1KlSrhs88+w/z587FixQqMHj26RM5z4sQJ/P333/Dy8gKQXZioUqUKJkyYgLJly+LKlStwdnYGAAwYMAC+vr6YP39+noWqiIgIXLp0CRUrVgQAzJo1C/7+/ti5cyd27tyJbt26AQCuX7+OMWPGoG7dujh8+DCcnJyEGHPnzkVQUBCWLFmC8ePHa8UPCwvDr7/+ikGDBkGtViMpKanAsanVagwcOBBpaWk4ePCg1jdbX331Fb7//nt8/fXX+OWXX2Bvb4+pU6di6tSpOHbsGAYOHIhWrVoV6TX89ttvcerUKfTr1w9r1qyBRCIR9iUmJmptL1++XFgwP0dWVhY6duyIRYsWYezYsahUqZLW/qtXr2LQoEFYtWoVJBKJMPZ169YhISEBCxcuxNixY7WOiY+P17lIBQCnTp0CAK6RRkRUyp2JzERa5n9Fqkpl+FGI6HXduXMHBw8eRGZmJgBAIpGga9eusLKygru7u4Gzo9KKt/4RUakwadIk2NvbY8aMGUhJSSn8AB2MHTtWKFIBgJubG5o3b47ExER88803QpEKyH5iiZeXFy5dupRvrJwiFQBYWFhg1qxZAKD1hMIVK1YgKysLS5Ys0SpSAdkFJGdnZ2zevDlX/IYNG2LQoEFFHtupU6dw9+5ddOjQIdf06ylTpsDR0RGbNm2CQqEocsxXZWVlYeXKlbCzs8OiRYu0ilIAYGdnB7lcLmy/WqQCADMzMwwfPhwqlQpHjx7Ntd/CwgLfffddrtg5LC0tc7U5OjoWdyhanjx5AgBa7ycREZVeg9tYY3ZfO3R/N/fvDCIqmtjYWFy5cgUnT55EXFyccH3u4uKCmjVrwsPDg2vLks74NQIRlQoODg6YOHEiJk6ciPnz52Pq1Kl6P0f9+vVztZUvX77Afa9Occ7x3nvv5Wpr2rQpzMzMcOHCBaEtIiICAHDo0CEcPnw41zHm5ua4efNmrvbGjRvned785Jwzr5lROWtDhYaG4tatW6hTp06xYue4efMmkpOT0bZt2yKtmZWcnIz58+dj9+7duHv3LlJTU7X25yzm/jJPT0+UKVMmV3unTp0wadIkjBo1CocPH0b79u3RsmVLrcIjERGZpgfPs5CQqkbGv9/FOMjFcLbN+wsPIipcZmYmVq1ahayXnpTp6+uLOnXqaH2xS6QrFqqIqNQYM2YMli5digULFmDkyJF6j5/Xo3JzbhnLb19WPo+yzmvBbYlEAicnJyQmJgpt8fHxACDMtiqqvOIXJOfWwPyOyynIFXYLYUFyxlWhQoVC+yoUCrRq1Qp///03GjRogH79+sHJyQlmZmaIiYnB2rVrhSnkL8svfw8PD0RERGDq1KnYv3+/sPB+9erVMX36dPTo0UPncZUrVw4xMTF4+PAhC19ERKVM9NMszN6p/buNkzyIdJOWloYrV64gOTlZuAb29PSEpaUlmjZtmuf1MpEuWKgiolLD0tIS06ZNw+DBgzFt2jT069cvz35isTjfW9heLhKVpKdPn8Lb21urTaVSIS4uTqvYkvMLPSkpCTY2Niiq4k6lzjnP06dP89yfc3vb61xg2NvbAwAePnxYaN89e/bg77//xuDBg7F69WqtfVu2bMHatWvzPK6gcdeuXRs7duyAUqnE+fPnceDAASxevBiBgYFwdXVFs2bNij6YlzRr1gwxMTE4fPgwC1VERKVMfIoaACA1A8o5SOBsK4FnWX4EIioOhUKBhIQEhIWF4c6dO0K7TCZD//79DZgZva24RhURlSoDBgxArVq1sGrVKq1flC9zcHBAbGxsrtlOOU+BexNOnDiRq+3PP/9EVlYWGjRoILQ1adIEwH+3AJaUnHOGh4fn2peamopz587B0tIyV3GtOLy9vWFra4uzZ8/ixYsXBfbNeUphly5dcu3L67UrDnNzc/j6+mLatGlYvHgxNBoN/ve//+kcb/DgwQCABQsWID09vcC+ec0CIyIiw6vkbIbJPewwLEAOcwmnVBEVJj09HWfOnMGxY8cwZ84cLF++XOvau379+vjggw8MmCG9zVioIqJSRSKRYPbs2VAqlfmuU9WoUSMolUps3LhRaNNoNAgKCsq1DlJJWbRoEf755x9hW6FQ4JtvvgEADBw4UGgfOXIkzMzM8Nlnn+H+/fu54iQkJGitaaWrZs2aoXLlyjhw4AD++OMPrX0zZ85EXFwcPv74Y1hYWOh8DjMzMwwbNgyJiYkYO3YsVCqV1v7ExERhoc2cp8CcPHlSq8+xY8ewatWqYp/7/Pnzed62mDODTCaTCW3h4eEQiURFfpKhn58fPv74Y9y6dQtdu3ZFbGxsrj5JSUmYNGkSVq5cWezciYiIiIzN6dOncfDgQa0vOa2treHk5IRhw4ahS5cuqFGjhuESpLca570SlWL5Pf1Oo9FAoVAgMzPTIE/bKKmn8uX44IMP0Lx581xFjhyjRo1CSEgIPv30U4SFhcHZ2RknTpxAQkIC6tWrl++T+vTJ19cX9erVQ2BgIKytrbF3716h0NGtWzehX+3atbFs2TKMGDEC3t7e6NixIypXrozk5GRERUXh2LFjGDhwIH7++efXykcsFiMkJAQBAQHo2LEjevToAXd3d/z5558IDw9H5cqVMXfu3NcdNqZPn46IiAisX78eERER6NChA6RSKaKionDw4EGcPHkS9evXR+fOneHh4YHvvvsOV69eRe3atXHr1i3873//w0cffYQdO3YU67wbNmzAypUr0aJFC1SuXBm2tra4fv069u/fD0dHR60nJKrV2beB5Kw/VhS//PILNBoNtmzZAk9PT7Rr1w7VqlWDRqNBZGQkDh8+jOTkZKxfv75YeRMREREZk/379+PevXvCF4DlypVDuXLlULVqVdSsWdPA2ZGpYKGKqJSyt7dH+/bt89ynVquRnJwMGxsbiMWGmTiZs15RSZk3b16+aw7Vrl0bBw8eRFBQEHbs2AG5XI6OHTti/vz56NmzZ4nmlWPhwoXYvn07Vq9ejfv376N8+fKYOnUqgoKCcvUdMmQI6tevjx9++AHHjx/H3r17YWdnh0qVKuGLL77AgAED9JJT8+bNERERgenTpyM0NBSJiYlwdXXF2LFjMXny5DyfpldcMpkMYWFhWLp0KTZs2IBVq1ZBIpGgUqVKGD58ODw8PABkP2nwyJEj+PLLL3H8+HGEh4ejVq1a2LhxI8qWLVvsQlWvXr2QmZmJU6dO4a+//kJmZiYqVqyIESNG4Msvv0SlSpWEvlevXhWOKSpLS0ts3rwZgwcPxq+//ip8ywgAbm5uCAwMxJAhQ+Dj41OsvImIqGTcfKjEqRuZeJ6sNnQqREYvNTVVmJ1+/vx5rX1NmjTJ8+nXRCWJhSqiUkosFsPR0THPfWq1GmZmZrC1tTVYoep1eXh4QKPR5Lv/3XffLXC/n59fnus+5bVG09SpU/O9jTAkJAQhISF57ssr1sv9v/76a3z99df55viyxo0bY/PmzYX2a9WqVYHjLkydOnWwffv2IvUt6HUpiFQqxfjx4zF+/PgC+3l6euZbkMprjAWNu0mTJmjatGmR8jt+/DgqVqyo0+Kfbdu2Rdu2bYt9HBERvVm7/kxDdOx/t6Bby7guFdGr0tPT8ezZMxw5cgT37t3T2te3b19YWloKT4YmepNYqCIiIpNy8uRJTJw48bXW4yIiIuOm/LdG1bKWFOUdJGjgxZ/5RC9Tq9X46aefcq3f2qRJE3h5eaFy5coGyoyIhSoiIjIxT548MXQKRET0hjT0skBNN3NDp0FkNOLj4xETE4OtW7cKRSpHR0fIZDJ07twZ5cqVM3CGRCxUUSmjUqkQHR1drP4AEBUVBYlEAgD/Tmu1K4n0iIiIiIiIjNalS5eQkJCAhIQEANnrcI4aNarULhdCbyejLVSdPXsWwcHBOH36NJRKJerUqYNx48YVayHkzMxMzJs3D+vXr8eDBw/g6OiITp06YebMmXBxcdHqe/HiRezcuRNhYWGIiopCYmIiKlSogPbt2+Obb75BhQoVcsVv1aoVjh07lue53d3dERMTU6wxU+Gio6MxZvEVyB3ditTfTKxGYD1g2tZEZKmzf/g+jbqFsl5c8JiIiIjobZOh1CAtQ40sle7rORK9jXLWo8opUFWuXBm1atVCxYoVWaQio2OUhaqjR48iICAAMpkMvXr1go2NDXbu3InAwEA8ePCg0AV6gex7brt06YJDhw7B19cX3bp1Q2RkJFavXo3Dhw8jIiICzs7OQv/hw4fjzJkz8PHxQa9evSCVSnHmzBksX74c27dvx4kTJ1C9evU8zxUcHJyrraSfeGbK5I5usHPxKlJfM1EWgMewc/ZAlib7n3tK/IMSzI6IiIiIDCE2UYVpWxOhyDJ0JkTGRa1WY/ny5UhOThbaypYtiwYNGhgwK6L8GV2hKisrC0OGDIFYLMbx48eFR2FOmTIFPj4+mDRpErp37w53d/cC46xduxaHDh3Cxx9/jI0bN0Ikyn7Sx88//4wRI0Zg8uTJWLFihdC/T58+2LBhA6pUqaIVZ968eZg4cSLGjx+Pffv25XkuXZ6KRURERERE+vMoXiUUqcwkQBkbMdydJYZNisiAnjx5gv379yMlJUUoUsnlcqhUKnh7exs4O6L8Gd0cvyNHjuDu3bvo3bu3UKQCADs7O0yaNAkKhQJr164tNM6qVasAAHPmzBGKVAAwbNgweHl5YePGjUhPTxfaP/vss1xFKgCYMGECLC0t873Fj6ikaTScuk5E9KbwZy5R6edVVoLlwxwxo7c9rGVG93GHqMQplUrExsbir7/+woMHD/DixQsA2UWq0aNHw9vbG+XLlzdwlkT5M7oZVeHh4QCAdu3a5doXEBAAAIUWjTIyMnDmzBl4e3vnmnklEong7++PFStW4Ny5c3jvvfcKjCUSiWBubq5V7HrVpk2bEBMTAysrK9SvXx8tWrTgfb702nIWf1cqlbC0tDRwNkREpkGpVAL472cwERFRaaLRaLBixQrExcUJbTVr1sQ777yDsmXL8nMqlQpGV6iKjIwEAFStWjXXvnLlykEulwt98nP37l2o1eo8Y7wcOzIystBC1Y4dO5CUlIQePXrk26dPnz5a29WqVcPGjRvRqFGjAmNnZmYiMzNT2E5KSgKQfZGcc6GsDzmx9BnTUFQqFczE6n/Xniqc5N9+kpf6m0tQrBh50UcMM7EaKpWqwPfF3NwcCQkJsLa2LrBY+qqcGQEajQZqtVrnHEsbjtu0xg2Y7tg57pIZt0ajQUJCAiwsLAAU/HvzbfidSvS2+PuuAoevZCA53XR+HhK9Kjo6Glu3btX6fCmRSGBrawsfHx9hAgd/f1FpYHSFqsTERADZt/rlxdbWVujzOjFe7pefBw8eYMyYMbC0tMSMGTNy7e/SpQu+/PJLNGjQAA4ODoiJicGKFSuwdOlS+Pv749KlS6hUqVK+8efMmYNp06blag8NDYWVlVWBuekiLCxM7zENIbAeADwu1jH+5c/+t+Eq/vf44sXQopcYwM2bj3Hz5s18u0ilUpQpUwaZmZmwtraGmVnx/pd9+ZsUU8Jxmx5THTvHrT9ZWVlITU1FYmIinj9/jqtXrxbYPy0tTe85EJFuDl5MR/RTlbBtb80ZI2Q6MjIyEBsbi0uXLmkVqcqWLYthw4YV68tuImNhdIUqYxEXF4eOHTsiNjYW69aty3OxuS+++EJru0aNGli4cCFsbW0xY8YMzJ8/H4sXL873HEFBQRg3bpywnZSUBDc3N7Rr104opumDUqlEWFgY/P39YW5urre4hhAVFYVpWxNh5+xRpP4SURb8y59F2OPGUP371L9Ht0/B2qFCkWPkRR8xEp/FIDjQDl5eBT/BMDk5GS9evBAeJVsUGo0GGRkZkMlkJvXLieM2rXEDpjt2jrtkxi2VSuHl5YV69eoV2jdnFjQRGV7OBMuODWXwcDFD9Yql+3qXqKg0Gg1WrlwprEEFAA0bNkTr1q1haWlpUtcI9HYxukJVziyo/GY7JSUlwcHB4bVjvNzvVXFxcWjTpg2uXbuG5cuXo2/fvkXKPcewYcMwY8YMnDp1qsB+UqkUUqk0V7u5uXmJFJRKKu6bJJFIkKUWI0tTvH+6Ko2ZcIxSBZ1ivEwfMbLUYkgkkkLfE0dHRzg6OkKpVEKlUhXYV8hPqcTx48fRokWLUv+eFwfHbVrjBkx37By3/sddlJ/HLzOl152otKhS3gx13C0MnQbRG5VTpHJwcIBUKkX9+vVhbW1t4KyIXo/RFapeXj/qnXfe0dr35MkTpKSkwMfHp8AYXl5eEIvF+a5lVdA6WDlFqkuXLuGnn37CsGHDij0GJycniEQipKamFvtYovwUp9AokUiQlZUFmUxmUh+mOG7TGjdgumPnuE1r3ERERK9KTExERkaGsP3pp5+WyPIxRIZgdDdwt2zZEkD2Ok2vOnTokFaf/FhaWsLHxwe3bt3CvXv3tPZpNBqEhYXB2to612LnLxeplixZgpEjR+o0hr/++gsajQYeHh46HU9ERERERPlTZmmw8VgqFu9LRmwiF1En03L9+nUsXLgQP//8s6FTISoRRleoatOmDby8vLBp0yZcvHhRaE9MTMTs2bNhYWGB/v37C+2PH2cvRv3qbX5Dhw4FkL0OVM5TggBgxYoViIqKQp8+fWBpaSm0x8fHo23btrh06RIWLVqE0aNHF5hndHQ04uPjc7U/fPhQKHD17t276AMnIiIiIqIiiXychfBrmbhyT4l0Rfa1vq2V0X20IdKrlJQUREZGCg9jMjMzg7W1NWrWrKn12ZaotDO6W//MzMywevVqBAQEoEWLFujVqxdsbGywc+dO3Lt3D/Pnz9eaqRQUFIS1a9dizZo1GDhwoNA+YMAAbN26FZs3b0Z0dDRatmyJO3fuYNeuXfD09MTMmTO1ztu1a1dcvHgR1atXR3x8PKZOnZort88//xz29vYAgGPHjmHEiBF477334OnpCQcHB0RHR2Pfvn1ITU1Fnz590K9fvxJ4hYiIiIiITJtKnV2ccrIRo1MjSzjKxahURmLgrIhK1urVq7UmaDRo0AAdO3Y0YEZEJcPoClUA4Ofnh5MnTyI4OBhbt26FUqlEnTp1MG/ePAQGBhYphlgsxp49ezB37lysX78eP/74IxwdHTF48GDMnDkTzs7OWv1jYmIAADdv3sS0adPyjDlw4EChUNWwYUP06NED58+fx9mzZ5GSkgJ7e3s0a9YMn3zySZHzJCIiIiIi3chlIjSvkfvhRERvC41Gg3/++QcZGRlCkaps2bKQyWSoX7++YZMjKiFGWagCAB8fHxw4cKDQfiEhIQgJCclzn1QqRXBwMIKDgwuNk1OoKqq6deti3bp1xTqGiIiIiIiIqKguX76M3bt3a7X169ePT/ajtxpv5CYiIiKiIjl79iw6duwIe3t7WFtbw9fXF9u2bStWjEePHmHs2LGoWbMmrK2tUbZsWTRv3hzr16+HSqUqocyJiEoXjUaDzMxMYV1kS0tLuLq6wsfHh0UqeusZ7YwqIiIiIjIeR48eRUBAAGQymdYaooGBgXjw4AHGjx9faIyoqCg0adIEcXFxCAgIQOfOnZGUlITdu3ejf//+OHLkCNasWfMGRkNEZNw2b96MyMhIYbt69er44IMPDJgR0ZvDQhURERERFSgrKwtDhgyBWCzG8ePHhXVRpkyZAh8fH0yaNAndu3eHu7t7gXHmz5+P58+fY+HChRg7dqzQPmfOHNSrVw8hISGYOnVqoXHIdO07l47fz6ZDrSm8L1Fp8/J6VHfv3hXaJRIJvLy8DJgZ0ZvFW/+IiIiIqEBHjhzB3bt30bt3b63Fe+3s7DBp0iQoFAqsXbu20DhRUVEAkOspVfb29mjevDkA4Pnz5/pLnN46l+4ptIpUVcvze3cq/TQaDRITE3H69Gn8+uuv2LRpE9RqNQBg7NixCAoKQu3atQ2cJdGbw5/sRERERFSg8PBwAEC7du1y7QsICAAAHDt2rNA4tWvXxqFDh7B//36tGVUJCQk4deoUypUrh5o1a+onaXqrDWptjboe5pDL+L07lX7r169HdHS0VpurqysqVKgAOzs7iEQiA2VGZBgsVBERERFRgXLWSalatWqufeXKlYNcLtdaSyU/X375Jfbu3YsvvvgCBw8eRN26dYU1qqysrPDbb7/B0tKywBiZmZnIzMwUtpOSkgAASqUSSqWyOMMqUE4sfcYsDYx93BpN9nQqqZkaUokKSqX+FuA39rGXFI7b8ON++PAhAEAsFsPCwgIdO3ZE9erVAWTfeq1PxjTuN81Ux25M4y5qDixUEREREVGBEhMTAWTf6pcXW1tboU9BypYtiz///BN9+/bFgQMHcPDgQQDZT7MaPnw46tWrV2iMOXPmYNq0abnaQ0NDYWVlVejxxRUWFqb3mKWBsY474UU9ALY4d+4c/rkWXyLnMNaxlzSO23ByilHe3t6QSqWIiooSbpUuKcYwbkMx1bEbw7jT0tKK1I+FKiIiIiJ6I+7cuYPOnTtDLpfjxIkTqF+/PhISErBhwwZMnjwZhw4dwokTJyCRSPKNERQUhHHjxgnbSUlJcHNzQ7t27WBra6u3XJVKJcLCwuDv7w9zc3O9xTV2xj7uq3tSkRCrRqNGjVDXXb8fZYx97CWF4zbMuFNSUnDkyBFkZGQIMwVbtWoFBweHEj2vocdtSKY6dmMad84s6MKwUEVEREREBcqZSZXfrKmkpKQifbgaOHAg7t27h6ioKJQrVw4AIJfLMXHiRDx9+hQLFy7Eli1b0KdPn3xjSKVSSKXSXO3m5uYlcgFeUnGNnbGOO2etHolEUmL5GevYSxrH/WZFRkbi6tWrwrZYLIaNjc0by8VU32/AdMduDOMu6vm5+iARERERFShnbaq81qF68uQJUlJS8ly/6mXJyck4deoUatSoIRSpXubn5wcAuHDhgh4yprdJplKDJfuSMXVLIh7G6W9NKiJDUCgUuH//PuLi4gAAFSpUwAcffIBPPvmk0DX6iEwFC1VEREREVKCWLVsCyF4H6lWHDh3S6pMfhUIBAHj+/Hme+589ewYAec6WItMW9TQLl+8p8TBeBcW/60o72fBjDJVOa9euxZo1a/DXX38BAJycnNCgQQNUqFDBwJkRGQ/+hCciIiKiArVp0wZeXl7YtGkTLl68KLQnJiZi9uzZsLCwQP/+/YX2x48f4+bNm1q3Cjo5OcHb2xv379/H6tWrteInJCRg/vz5AP6bWUWU49/le+BsK8YXnW0w/WM7uJXhCiZUemRmZuLo0aPYt28fnj59CiD7lmoXFxfUrVvXwNkRGR/+hCciIiKiApmZmWH16tUICAhAixYt0KtXL9jY2GDnzp24d+8e5s+fDw8PD6F/UFCQMGtg4MCBQvuPP/6IDz74AEOGDMGWLVvQoEEDvHjxAr///juePXuGbt26oW3btm9+gFQqSM1FqOlmeuvKUOl3/fp1HD9+XKtt8ODBsLGxMVBGRMaNhSoiIiIiKpSfnx9OnjyJ4OBgbN26FUqlEnXq1MG8efMQGBhYpBgdOnTA6dOn8f333+PkyZM4duwYZDIZatSogSlTpmDEiBElPAoiojfnyZMnuHPnDv755x8AgLOzM2rWrImyZcuySEVUABaqiIiIiKhIfHx8cODAgUL7hYSEICQkJM99jRs3xrZt2/ScGRGR8dmxY4ewaDoAuLq6olWrVoZLiKiUYKGKiIiIiIiISM/S09MBANWrV4e1tTWaNGli4IyISgcWqoiIiIiIiIj04MWLF9i+fTvS0tKQlpYGIPvWaRcXFwNnRlR6sFBFRERERERG5/7zLJy6kYnnSWpDp0JUZFFRUXj8+LGwbW5uDltbWwNmRFT6sFBFRERERERGZ+efabj+IEvYtpKKDJgNUdFoNBoAgIeHB/z9/WFvbw+ZTGbgrIhKFxaqiIiIiIjI6Cj+rVE1qmwBV0cJGlW2MGxCRAX4448/cP78eWRlZf/DlclkcHV1NXBWRKUTC1VERERERGS0GlexQEMWqcjIXb58GRkZGcJ2uXLlDJgNUenGQhURERERERGRHgQGBqJ8+fKws7MzdCpEpRYLVURERERERETFlJWVhXPnziE1NVWYTWVvb88iFdFrYqGKiIiIiIiIqJhu3bqFQ4cOabVZWPA2VaLXxUIVERERERERURFFRkbiypUriI+PB5A9i8rb2xvOzs5wdHQ0cHZEpR8LVURERERERERFdOjQIcTFxQnb7u7uaN++vQEzInq7sFBFRERERERGQa3W4Pez6XiWpMaTFypDp0OUp6ysLABAkyZN4OjoiJo1axo4I6K3CwtVRERERERkFKJjs7DvfIZWm7VMZKBsiP6jVCpx+vRppKSkID09HQBQp04dVKhQwcCZEb19WKgiIiIiIiKjoPx3EpWtpQjtG1rC3lqEqq78yEKGFxkZifDwcK02mUxmmGSI3nL8qU9EREREREbFWiaGfz0WAch4KJVKAICDgwPq1q0LJycnODk5GTgrorcTC1VEREREREREecjIyMCDBw/w5MkTAICTkxNatWpl2KSI3nIsVBERERERERHlYevWrYiJiRG2RSKumUZU0lioIiIiIiIiIspDYmIigOyZVJaWlmjcuLGBMyJ6+7FQRURERERERPSvrKwsnDp1CikpKUhNTQUAdOnSBW5ubgbOjMg0sFBFREREREQGpdFo8CRBjedJakOnQoQ7d+7wCX9EBsRCFRERERERGdSWk2k4ciXT0GkQAfjvCX/29vaoV68eHB0d4ezsbOCsiEwHC1VERERERGRQD+NVAABLCxEszIBm1S0MnBGZosTERNy5cwf//PMPAMDBwYFP+CMyABaqiIiIiIjIKPRraYXGVaWGToNM1K5du3D//n1h28yMH5eJDIH/5xEREREREZHJS0tLAwBUqlQJNjY2aNKkiYEzIjJNLFQRERERERER/at169Zwd3c3dBpEJouFKiIiIiIiIjJJKpUKFy5cQHJyMlJTUw2dDhGBhSoiIiIiIiIyUTExMThw4IBWm4UFF/MnMiQWqoiIiIiIiMgkKRQKAICNjQ1q1qwJBwcHlCtXzsBZEZk2FqqIiIiIiIjIpGg0GigUCmEBdUdHR7Rv397AWRERwEIVvUEqlQrR0dGvFePevXsA7PSTEBEREREZjEajwckbCjxLUuFZotrQ6ZCJOXDgAK5fv47r168bOhUiegULVfTGREdHY8ziK5A7uukc42nULZT18tFjVkRERERkCP/EqbAuXHvxaqm5yEDZkKl5+PAhAEAsFkMikaB69eoGzoiIcrBQRW+U3NENdi5eOh+fEv9Aj9kQERERkaFkKDUAACupCO96W8DeWoyabuYGzoreZklJSfjll1+QlJQktAUGBqJatWoGzIqIXsVCFRERERERGYyNpQiBza0NnQaZgEePHmkVqSQSCZydnQ2YERHlRWzoBPJz9uxZdOzYEfb29rC2toavry+2bdtWrBiZmZmYPn06qlatCplMBldXVwwdOhSxsbG5+l68eBHffvstfH194eLiAqlUCi8vL4wcOVKYFpqX27dvo2fPnihTpgwsLS1Rr149LF++HBqNpthjJiIiIiIiIv2KjY3FkSNHcPnyZQCAq6srxo4di1q1akEulxs4OyJ6lVHOqDp69CgCAgIgk8nQq1cv2NjYYOfOnQgMDMSDBw8wfvz4QmOo1Wp06dIFhw4dgq+vL7p164bIyEisXr0ahw8fRkREhFb1fPjw4Thz5gx8fHzQq1cvSKVSnDlzBsuXL8f27dtx4sSJXPctX79+He+++y7S09PRs2dPuLq6Yt++fRg5ciSuX7+OJUuW6P21ISIiIiIioqLbv3//vw9lymZpaQlra2uIxUY7b4PIpBldoSorKwtDhgyBWCzG8ePHUb9+fQDAlClT4OPjg0mTJqF79+5wd3cvMM7atWtx6NAhfPzxx9i4cSNEouyFGX/++WeMGDECkydPxooVK4T+ffr0wYYNG1ClShWtOPPmzcPEiRMxfvx47Nu3T2vfiBEjkJiYiP3796NDhw4AgBkzZqBt27ZYunQpevfujaZNm77uS0JERERERETFkJGRgU2bNiEpKQnJyckAgOrVq8PBwQH16tUzcHZEVBCjKyEfOXIEd+/eRe/evYUiFQDY2dlh0qRJUCgUWLt2baFxVq1aBQCYM2eOUKQCgGHDhsHLywsbN25Eenq60P7ZZ5/lKlIBwIQJE2BpaYljx45ptd++fRvHjx+Hn5+fUKQCAAsLC8yYMUMrByIiIiIiIip5V65cwYoVKzBv3jw8ePAAiYmJUKvVEIlEaNu2Ldq1a4eyZcsaOk0iKoDRzagKDw8HALRr1y7XvoCAAADIVTR6VUZGBs6cOQNvb+9cM69EIhH8/f2xYsUKnDt3Du+9916BsUQiEczNzbWKXYXl2bx5c1hbWxeaZ2ZmJjIzM4XtnIX9lEollEplgccWR04sfcbUhUqlgplYDTNRls4xzCUoVgzJv/0kL/Uvbgx95JEXM7EaKpWqRN4XY3nP3zSO27TGDZju2Dluw4/bGHIgIqLc/vrrLzx58kTYtre3R48ePWBjYwMbGxsDZkZERWV0harIyEgAQNWqVXPtK1euHORyudAnP3fv3oVarc4zxsuxIyMjCy1U7dixA0lJSejRo0eR85RIJPD09MT169eRlZUFM7O8X+Y5c+Zg2rRpudpDQ0NhZWVVYF66CAsL03vM4gqsBwCPdQ/gKv73+OLF8C9/9rVj6CMP7RjAzZuPcfPmTd1jFMIY3nND4LhNj6mOneM2nLS0NEOnQERE/1KpVDh48CASExPx7NkzAICfnx/c3Nzg5uaW7+cxIjJORvd/bGJiIoDsW/3yYmtrK/R5nRgv98vPgwcPMGbMGFhaWgq38xXnHGq1GsnJyXBwcMizT1BQEMaNGydsJyUlwc3NDe3atRNy1AelUomwsDD4+/vD3Nxcb3GLKyoqCtO2JsLO2UPnGI9un4K1Q4Uix5CIsuBf/izCHjeGSmOmUwx95JGXxGcxCA60g5eXl84x8mMs7/mbxnGb1rgB0x07x234cb/8eHMiIjIMjUaD58+f459//sG5c+e09lWuXBkVKlQwUGZE9DqMrlBlLOLi4tCxY0fExsZi3bp18Pb21vs5pFIppFJprnZzc/MSuQAvqbhFJZFIkKUWI0uj+z87pQo6xVBpzIRjdI2hjzxelqUWQyKRlOh7Yuj33FA4btNjqmPnuA2bAxHp5mFcFk5cz0RcitrQqVApt2/fPpw/f17YtrOzQ8uWLWFrawtXV1cDZkZEr8PoClU5M5Tym+2UlJSU7wyl4sR4ud+r4uLi0KZNG1y7dg3Lly9H3759dTqHSCTifdBERERERC/Z/Vc6Lkb/t86bpYWogN5EuT179gwJCQm4d+8egOwJAObm5vD19UWDBg0MnB0RvS6jK1S9vH7UO++8o7XvyZMnSElJgY+PT4ExvLy8IBaL813LqqD1pXKKVJcuXcJPP/2EYcOGFZrnq1QqFaKjo+Hp6cn7oYmIiIiIXqJQagAADTzN4VbGDA28OEORii4uLg7Lli3Tavvoo49K5A4YIjIMsaETeFXLli0BZC8o/qpDhw5p9cmPpaUlfHx8cOvWLaHKnkOj0SAsLAzW1tZo1KiR1r6Xi1RLlizByJEjdcrz5MmTSE1NLTRPIiIiIiJT1dDLAp0bW6KiE7/YpcJFRkZi7dq12LZtGwDAzMwMrq6u8Pb2hoeHh2GTIyK9MrpCVZs2beDl5YVNmzbh4sWLQntiYiJmz54NCwsL9O/fX2h//Dj7qWmv3oI3dOhQANkLlms0GqF9xYoViIqKQp8+fWBpaSm0x8fHo23btrh06RIWLVqE0aNHF5int7c3WrRogaNHj+LAgQNCu0KhwLfffgsA+PTTT4v/AhARERERERE0Gg1Onz6Nffv2YdOmTYiJiUFsbCwAwN3dHUOGDEGvXr3yXPeXiEovo/v6wszMDKtXr0ZAQABatGiBXr16wcbGBjt37sS9e/cwf/58rYp5UFAQ1q5dizVr1mDgwIFC+4ABA7B161Zs3rwZ0dHRaNmyJe7cuYNdu3bB09MTM2fO1Dpv165dcfHiRVSvXh3x8fGYOnVqrtw+//xz2NvbC9vLli1Ds2bN8OGHHyIwMBDly5fHvn37cO3aNYwePRrvvvuunl8dIiIiIiIi0/D48WOEhYVptTVs2BBVqlThLCqit5jRFaoAwM/PDydPnkRwcDC2bt0KpVKJOnXqYN68eQgMDCxSDLFYjD179mDu3LlYv349fvzxRzg6OmLw4MGYOXMmnJ2dtfrHxMQAAG7evIlp06blGXPgwIFahapatWrhzJkzmDx5Mvbt24fU1FRUq1YNP/30E0aMGKHT2ImIiIiIiEzZzZs3cfz4cWRkZAD4b2kXGxsbNGjQAGKx0d0YRER6ZJSFKgDw8fHRuqUuPyEhIQgJCclzn1QqRXBwMIKDgwuNk1OoKi5vb29s375dp2OJiIiIiIhI27lz5/D48WNh29XVFa1atTJcQkT0RhltoYqIiIiIiIhMg0qlws6dOxEXF4cXL14AAJo1a4bKlSujYsWKBs6OiN4kFqqIiIiIiKhEaTQanL6lwNMEFZ4mqg2dDhmR+Ph4XLp0CQ8ePEB0dLTWvmrVqqFSpUoGyoyIDIWFKiIiIiIiKlGPX6gRciRVq01qLjJQNmQMHj16hLi4OOzatSvXvn79+kEul8PFxcUAmRGRobFQRUREREREJSpDqQEAWFqI0Ky6BWytxKjtbm7grMhQEhMTsWrVKq02a2tr1KlTBzVr1oSbm5uBMiMiY8BCFRERERERvRHWMhECm1sbOg0ykOfPn+PcuXNISkoCAEgkElSqVAlyuRwdOnSApaWlgTMkImPAQhURERERERGVuGPHjuHq1avCtpOTE/r372/AjIjIGLFQRURERERERCUiKysLa9euxbNnz6BQKABkL5Jevnx5VK9e3cDZEZExEhs6ASIiIiIqHc6ePYuOHTvC3t4e1tbW8PX1xbZt24odJzY2Fl988QWqVq0KmUwGJycnNG3aFMuXLy+BrInIENLT03HhwgUcP34c//zzDzIzM6HRaCASifDee++hVatWKFeunKHTJCIjxBlVRERERFSoo0ePIiAgADKZDL169YKNjQ127tyJwMBAPHjwAOPHjy9SnIsXL6Jdu3Z48eIF3n//fXTv3h0pKSm4ceMG9u7dixEjRpTwSIjoTTh8+DDOnz8vbNva2qJ///6wtLSElZWVATMjImPHQhURERERFSgrKwtDhgyBWCzG8ePHUb9+fQDAlClT4OPjg0mTJqF79+5wd3cvME5SUhK6dOkCADh//jzq1q2b6zxEVLrdu3cPz549w8OHDwEAZcuWhaOjI2rXrg0nJycDZ0dEpQELVURERERUoCNHjuDu3bsYNGiQUKQCADs7O0yaNAkDBw7E2rVrMWXKlALjLFu2DPfv38cvv/ySq0gFAGZmvDQlKo2ioqJw+PBhJCQkIC0tTWtfkyZN0KBBAwNlRkSlEa8GiIiIiKhA4eHhAIB27drl2hcQEAAg+2lehdm6dStEIhG6deuGW7duITQ0FOnp6ahevTrat28PCwsLveZNhpecrsbFaCWeJqoMnQqVoAsXLuDRo0dabTVq1ICVlRUXTCeiYmOhioiIiIgKFBkZCQCoWrVqrn3lypWDXC4X+uRHoVDgypUrcHZ2xpIlSxAcHAy1Wi3s9/Lywu7du1GnTp0C42RmZiIzM1PYTkpKAgAolUoolcoij6kwObH0GbM00Pe4t51MR0Tkf7d0SsTG+5ryPS/euDUaDY4dO4bY2Fg8efIEANCwYUN4e3vD1dUVUqk01zmMCd9v0xo3YLpjN6ZxFzUHFqqIiIiISikvL6/XjvH5559jzJgxBfZJTEwEkH2rX15sbW2FPvmJj4+HSqVCXFwcpk+fju+++w79+vWDUqnEihUrMHPmTHTu3Bk3b96ETCbLN86cOXMwbdq0XO2hoaElskBzWFiY3mOWBvoad9TzWgAcYWeeDEtJJiqKn2L//ni9xC4pfM8LptFokJKSgoyMDGEdqhxxcXG4ceMGbty4URIplgi+36bHVMduDON+9dbg/LBQRURERFRKxcTEwM7ODvb29jodf//+fSQkJOg1p/zkzJ5SqVQYPXq01lMCp0+fjlu3bmHbtm3YsWMH+vbtm2+coKAgjBs3TthOSkqCm5sb2rVrB1tbW73lq1QqERYWBn9/f5ibm+strrHT97ijD6Yh9oEKH7zrjKbVzAF4vn6SJYTvedHGHR4ejkuXLmm1vf/++7C0tESVKlUgFotLKlW94vttWuMGTHfsxjTunFnQhWGhioiIiKgU++KLLwpdxDw/Rf1AmTOTKr9ZU0lJSXBwcChSDAD44IMPcu3/4IMPsG3bNpw7d67AQpVUKtW6pSiHubl5iVyAl1RcY6evcYtFYgAqSCSSUvM68j3Pm1qthlKpFH4O2NraQi6Xo3bt2mjUqNGbSlPv+H6bHlMduzGMu6jnZ6GKiIiIiAqUszZVZGQk3nnnHa19T548QUpKCnx8fAqMYW1tjQoVKuDhw4d5zgDLaUtPT9dLzkSkPyqVCsuXL0dcXJzQ5uvri6ZNmxowKyJ6W+k8L3PEiBG4cOGCPnMhIiIiomK4ceMGRo0aVeLHt2zZEkD2OlCvOnTokFafgrRu3RoAcP369Vz7cto8PDwKjUNEb8bDhw+xfv16LFq0SKtIJZVK4ebmZsDMiOhtpnOhasWKFWjUqBEaNWqEFStWIDk5WZ95EREREVEhvL294eTkVOLHt2nTBl5eXti0aRMuXrwotCcmJmL27NmwsLBA//79hfbHjx/j5s2buW4VHD58OABg7ty5WmtjPXnyBIsWLYJYLEa3bt10Hg8R6df58+cRFRUlfNazs7PDN998g6+++goVK1Y0cHZE9LbSuVD1xx9/oGfPnrh27RpGjhwJV1dXDB48GBEREfrMj4iIiIiK6PDhwyUS18zMDKtXr4ZarUaLFi0wdOhQjB8/HvXq1cPt27cxe/ZsrZlQQUFBqFGjBn777TetOO+++y7GjRuHa9euoW7duhg1ahSGDh2KevXq4eHDh5g5cyaqVatWImMgoqLRaDTYvn07Fi5ciKtXrwIA6tSpgx49emDw4MEwMzMrNQumE1HppPNPmNatW2Pz5s149OgRfvjhB3h6emLNmjVo1qwZateujcWLF+PFixf6zJWIiIiICtCpUyds3769RGL7+fnh5MmTaNasGbZu3Yrly5ejbNmy2LJli9YT/AqzYMECrFmzBmXLlkVISAg2bdqEatWqYdeuXQgKCiqR3ImocBqNBo8fP8atW7dw/fp1JCYmQqlUAgBq1qyJmjVrwsbGxsBZEpEpeO3F1B0cHDB27FiMHTsWZ86cwerVq7Ft2zZ88cUXmDhxIrp27YohQ4YUad0CIiIiItKdt7c3Pv74Yzx9+hSjR4/Os09CQgLmzJmDefPmFTu+j48PDhw4UGi/kJAQhISE5Lt/4MCBGDhwYLHPT0QlJyIiAkePHhW2JRIJPvnkE8hkMjg6OhowMyIyNXqds9mkSROsWrUKe/bsQfny5ZGRkYFNmzahdevWqFWrVol9w0dEREREwIkTJ9CyZUuMHTsW3377rda+jIwMzJs3D15eXpg/f76BMiQiY/Ps2TO8ePECUVFRAABLS0s4OjqiadOmcHV1ZZGKiN64155RlSMpKQkbNmzA6tWrcenSJWg0Grz33nsYMGAA/v77b6xbtw69evVCdHQ0vvrqK32dloiIiIj+ZWNjg4MHD2LAgAGYNWsWnj59iqVLl2Lt2rWYNm0aHj16BEdHR8ydO9fQqRKREVAoFAgJCRFu8QOAZs2aoVmzZgbMiohM3WsXqk6cOIHVq1djx44dSE9Ph729PT777DMMGzYMNWrUAAB88sknCA4ORtu2bbFkyRIWqoiIiIhKiLm5OTZt2gRXV1f8+OOP2LZtG5KTk2Fra4upU6fiiy++4DozVOIUWRqkpKuhUGkMnQrlIy0tDQkJCUKRysPDA5aWlqhVq5aBMyMiU6dzoWr+/Pn45ZdfcPv2bWg0Gvj6+mLYsGEIDAyETCbL1d/Z2Rndu3fH1KlTXydfIiIiIirE8ePHcfbsWWg0GiQlJaFcuXK4cOECypYta+jUyASkZarxzcZEpGSwSGWsLl68iD179mi19e7dG+bm5gbKiIjoPzoXqr766ivY2tpi+PDhGD58OOrUqVPoMe+88w769++v6ymJiIiIqABnzpzB5MmTceTIEYhEIvTv3x/Ozs5YsGAB+vbti99++w1yudzQadJb7lmSWihSmUkAW0sxqpbX24ojpAcPHz4EAIhEIojFYtja2ho4IyKi/+j8G2PVqlX4+OOPYWVlVeRjOnbsiI4dO+p6SiIiIiIqQNOmTQEA77//PubMmYPatWsDANzd3fH555+jZcuW2L9/P2dW0RvhYC3GdwPsDZ0GveTcuXO4f/++UKhq0aIFmjVrhv379xs4MyKi/+j81D9zc3PcuXOnwD5Xr17FunXrdD0FERERERWDr68vjh07hr179wpFKgAYPXo0Nm3ahGvXrqFZs2aFXsMR0dsnMzMT+/btw5UrVxAfHw8g+wl/RETGRudC1aBBg7B79+4C++zZsweDBg3S9RREREREVAynT5/Ge++9l+e+nj17Yt++fYiNjeUTvYhMSEJCAvbu3au1JpW/vz8++OADNGzY0ICZERHlTedb/zSawhdHVKlUEIt1roURERERkR61adMG4eHheP/99w2dChGVsPT0dDx79gx//PEHHjx4ILTLZDI0bdoUIpEIAISn/hERGYsSXdXwwoULcHR0LMlTEBEREVExNGzYEKdOnTJ0GkRUgtRqNZYtW4aUlBShzdzcHH5+fnB3dxeKVERExqhYharWrVtrbYeEhCA8PDxXP5VKhX/++QcxMTHo2bPnayVIRERERPrl5eVl6BSIqAQkJycjIiIC6enpQpHKwcEBMpkMnTt3Rvny5Q2cIRFR4YpVqHq5KCUSiRATE4OYmJhc/cRiMRwdHdGjRw8sXLjwNVMkIiIiIiKiwpw7dw6nT58Wts3NzTF69Ggux0JEpUqxClVqtVr4u1gsxtSpUzFlyhS9J0VERERERERFo1arkZycLMyicnNzg5eXF9zd3VmkIqJSR+c1qo4ePQoPDw89pkLGSK1WIyEhQS+xEhISoEhPREbqC51jKDKSC40htbSDiL+QiYiIiMgEaDQarFy5Ek+fPhXa3Nzc0KpVK8MlRUT0GnQuVLVs2VKfeZCRSkhIwMGDByGXy1871osXL+CETEjT4nQPIouFBTLyjZGZnoJMp5aQWTvofg4iIqJS6sSJEyhXrhyqVq2q1f78+XNcv34dderUQXx8PB4+fIgWLVoYKEt6W6nVGtx7psLDeJWhUzEJGo0GsbGxSEtLE4pUEokEUqkUVapUMXB2RES6K3Khat26dQCAjz76CDY2NsJ2UfTv37/4mZHRkMvlsLW1fe04WVlZkFmaQ2Zlo3MMZZo1LCzlBcZQ6BydiIiodPv000/h6OiIP//8U6t94cKFmDNnDu7evYuFCxdi2bJlUKlYTCD92vlnOkIvZQjbfLBcybpw4QL27t2r1fbVV1/BwsLCQBkREelHkQtVAwcOhEgkgq+vL2xsbITtgmg0GohEIhaqiIiIiN6AgIAALF++HPHx8XB0dBTaDx06hCpVqnDZBipRsUnZxU8bSxGspCK0qCk1cEZvp5xZkbdu3QIASKVSWFtbw8vLi0UqInorFLlQ9euvv0IkEgmPNF2zZk2JJUVkCjRqFe7du/facTw9PSGRSPSQERERlXbt27fH0qVLERoail69egHIvu3v77//xujRow2cHZmKD5tYokVNmaHTeCtpNBr88ssvSEtLE9reeecd+Pv7GzArIiL9KtaMqpcNGDBA37kQmZTUhEdYsAeQOyboHCMl/gEWjwHXISAiIgCAn58fpFKpVqEqNDQUQHYRi4hKN7VaLRSp3N3dIZPJUL9+fcMmRUSkZzovpk5Er0/u6AY7Fy9Dp0FERG8JS0tLNG/eHIcOHRLaDh06BKlUCj8/PwNmRkSvIyYmBlu2bEFmZqbQFhgYCEtLSwNmRURUMsS6HvjgwQMcOXJEa9qpWq3GvHnz0KxZM7Rt2xb79u3TS5JEREREVDQBAQF48uQJLl++DCB7RlXz5s0hk/FWLKLSKjo6WqtI5eLiAqmUa4AR0dtJ5xlV3377Lfbu3YsnT54IbbNmzUJwcLCwfezYMZw+fRqNGzd+vSyJiIiIqEjat2+Pr776CgcPHoRarcbTp0/x5ZdfGjotItKD+vXro23btrC0tIRYrPOcAyIio6ZzoerUqVNo27YtzM3NAWQv7Ld06VJUr14doaGhePLkCdq2bYvvv/8e27Zt01vCRERERJS/2rVrw9XVFQcPHhSewMz1qYhKpyNHjuDWrVtISUkBAJibm8Pa2trAWRERlSydC1WxsbFwd3cXti9evIhnz55h6tSpqFixIipWrIgPP/wQx44d00uiRERERFQ0AQEB2LhxI1JSUlCxYkXUrFnT0CkRkQ5OnDihtW1vb2+YRIiI3iCdC1VqtRpqtVrYDg8Ph0gkQuvWrYW2ChUqaN0aSEREREQlLyAgAGvWrMH58+fxySefGDodIioGhUKBy5cvIyMjQ2jr0aMHbGxsULFiRQNmRkT0Zuh8Y3OlSpXw119/Cdu7d+9G+fLl4e3tLbQ9efJE56r/2bNn0bFjR9jb28Pa2hq+vr7FvoUwMzMT06dPR9WqVSGTyeDq6oqhQ4ciNjY2V9+0tDQsWLAAvXv3RvXq1SEWiyESiRATE5Nv/FatWkEkEuX5x8PDo5gjJiIiItIPf39/Yf0a3vZHVLpcuHAB+/btw+HDh4U2Ly8vuLm5QSQSGTAzIqI3Q+cZVd26dcOsWbPQvXt3yGQynDx5EqNHj9bqc/36dXh5eRU79tGjRxEQEACZTIZevXrBxsYGO3fuRGBgIB48eIDx48cXGkOtVqNLly44dOgQfH190a1bN0RGRmL16tU4fPgwIiIi4OzsLPSPjY3FhAkTAADu7u5wcHBAfHx8kfJ9eQH5HJyWS0RERIbi4OCA5s2b4+LFi/D399faZ2FhASsrKwNlRm+jo1cy8ChehQfPVYZOpVQLDw/HjRs3kJqaCgBwcnKCm5sb3Nzc+NROIjIpOheqJkyYgNDQUOzatQsAULduXUydOlXYf+/ePfz111+YOHFiseJmZWVhyJAhEIvFOH78OOrXrw8AmDJlCnx8fDBp0iR0795da32svKxduxaHDh3Cxx9/jI0bNwrfPvz8888YMWIEJk+ejBUrVgj9y5Qpg9DQULzzzjtwdHRE+/btcejQoSLl/PK4iYiIiIxBeHh4nu0LFizAggUL3mwy9NaKTVRh04k0rTZLC8760cXJkyehUv1X7Ktfvz6aN29uwIyIiAxD51v/bG1tERERgcuXL+Py5cs4f/48HBwctPrs2rULI0eOLFbcI0eO4O7du+jdu7dQpAIAOzs7TJo0CQqFAmvXri00zqpVqwAAc+bM0ZoiO2zYMHh5eWHjxo1IT08X2uVyOfz9/eHo6FisfImIiIiITJVCqQEASM2Azo1k6N3CCvU9LQycVeny7Nkz3L9/X1j/t1u3bvjkk0/QrFkzA2dGRGQYOs+oylG7du08293d3Qud9ZSXnG//2rVrl2tfQEAAABT6JMGMjAycOXMG3t7euXIQiUTw9/fHihUrcO7cObz33nvFzvFVmzZtQkxMDKysrFC/fn20aNFCWBeCiIiIiOhtJzUX4QMf3lJaXNeuXcOOHTu02jw8PCCXyw2UERGR4b12oUrfIiMjAQBVq1bNta9cuXKQy+VCn/zcvXsXarU6zxgvx46MjNRLoapPnz5a29WqVcPGjRvRqFGjAo/LzMxEZmamsJ2UlAQAUCqVUCqVr51XjpxYusTMysqCRqOBRqPRSy4SMSAR6x7LTCIqMIZEDJiJVTATZWVvv/JfADCXAGZitdBHF8YSw0yshkqlyvXevs57Xppx3KY1bsB0x85xG37cxpADEZV+OWviWlhYQC6Xw83NDdbW1gbOiojIsF6rUPXHH3/ghx9+wNmzZ5GQkCBMV32ZSCRCVlbRP4gnJiYCyL7VLy+2trZCn9eJ8XI/XXXp0gVffvklGjRoAAcHB8TExGDFihVYunQp/P39cenSJVSqVCnf4+fMmYNp06blag8NDS2RRU7DwsJ0PjaniPY6JBIJ2tSzBvAaF/dVyv/7l/xiSAHcyNXqX/7sfxuuYgCP//2jI6OJAdy8+Rg3b97Mc/frvOelGcdtekx17By34aSlpRXeiYgoHxEREbhx44bweaRWrVr44IMPDJwVEZFx0LlQlfMUPrVaDXd3d1SvXh1mZkY3QatEffHFF1rbNWrUwMKFC2Fra4sZM2Zg/vz5WLx4cb7HBwUFYdy4ccJ2UlIS3Nzc0K5dO6GYpg9KpRJhYWHw9/eHubl5sY598eIF/vzzT73k8+LFC4RfzYDM2l7nGMlx92Eus803RnpaClKs6kNmlb1fIsqCf/mzCHvcGCpN9r/PR7dPwdqhAuycPXTOw1hiJD6LQXCgXa6na77Oe16acdymNW7AdMfOcRt+3Pr4AkdfDhw4gA4dOhg6DSIqhqNHj0KhUAjbNjY2BsyGiMi46FxZmj59OiwtLbFnzx60bt1abwnlzILKb7ZTUlJSrkXbdYnxcj99GzZsGGbMmIFTp04V2E8qlUIqleZqNzc3L5ELcF3impmZQSQSaS1I/zpUakCl1j1WlkoDcQExVGogSy1Blkb7n7ZKYya0KVVAllqcq09xGEuMLLUYEokk3/e1pP4tGTuO2/SY6tg5bsPmYCy6dOmCZcuW4dNPPzV0KkRUgLS0NISHhyMjI0O4ffj999+HnZ0dPD09DZwdEZHx0HnF71u3bqFXr156LVIB2utHverJkydISUnJd+2pHF5eXhCLxfmuZVXQOlj64OTkBJFIhNTU1BKJT0RERJSjQoUKGDZsGCZPnlzkY27fvl2CGRFRXq5evYqzZ8/iypUr0Gg0EIvFqFWrFqpWrWpyd6YQERVE50KVk5NTiayj1LJlSwDZ6zS96tChQ1p98mNpaQkfHx/cunUL9+7d09qn0WgQFhYGa2vrQhc719Vff/0FjUYDDw+PEolPRERElOPMmTNo0KAB5syZg/79+xe4NuiVK1fQq1cv1KpV6w1mSEQAhP83XV1d0a5dO/Tt2xeWlpYGzoqIyPjoXKjq3r07/vjjj2ItlF4Ubdq0gZeXFzZt2oSLFy8K7YmJiZg9ezYsLCzQv39/of3x4+yFpF+9zW/o0KEAsteBevmJdStWrEBUVBT69OnzWr8YoqOjhad0vOzhw4cYOXIkAKB37946xyciIiIqChcXFxw/fhwdO3bEhg0b0L59+1xraJ09exZdunRB/fr1sW3bNjRs2NBA2RKZnhMnTmD58uX4888/AQDOzs5o2rQpb/cjIsqHznNMZ8+ejXPnziEwMBA//vhjgU+3K1ZCZmZYvXo1AgIC0KJFC/Tq1Qs2NjbYuXMn7t27h/nz52vNVAoKCsLatWuxZs0aDBw4UGgfMGAAtm7dis2bNyM6OhotW7bEnTt3sGvXLnh6emLmzJm5zj1hwgQ8f/4cQPY3jjltcrkcAPDpp5+iefPmAIBjx45hxIgReO+99+Dp6QkHBwdER0dj3759SE1NRZ8+fdCvXz+9vCZEREREBbGyssKePXswevRo/Pzzz2jevDn27duH6OhozJo1C3/88Qc0Gg2aN2+OyZMno127doZOmUo5jUaD2EQ1nibmfuo3aTt16hQyMzOF7ZJaJ5eI6G2hc6GqTp06UCqViIiIwO7du2Fvb5/nD12RSIS7d+8WK7afnx9OnjyJ4OBgbN26FUqlEnXq1MG8efMQGBhYpBhisRh79uzB3LlzsX79evz4449wdHTE4MGDMXPmTDg7O+c6ZseOHbluFdy5c6fw91atWgmFqoYNG6JHjx44f/48zp49i5SUFNjb26NZs2b45JNPipwnERERkT6IxWIsW7YMnp6e+Prrr1G9enVkZGRAo9GgTZs2+Pbbb9GiRQtDp0lvib3nMrD3bLqh0ygVcu7u+PDDD+Hg4ICKFSsaOCMiIuOmc6FKrVbDzMxMaybVy7fYFdRWFD4+Pjhw4ECh/UJCQhASEpLnPqlUiuDgYAQHBxfpnDExMUXOr27duli3bl2R+xMRERGVtN9//x07duwAAKSnp0MkEmHWrFkICgoycGb0tnkUn738h9QckJqJ0Lxm7idZm7KkpCTs378f6enpwhP+3Nzc4OjoaODMiIiMn86FquIUdYiIiIio5GzduhWzZ8/G1atXIRKJ0LNnT3Tq1AljxozBtGnT4Obmhr59+xo6TXoLdWtqBb/aMkOnYXRu3ryJW7duCdsSiaREHkRFRPQ24nNQiYiIiEqx6tWrIzIyEhKJBP369cOkSZNQrVo1ANlLFXTo0AEDBgzAgwcPOLOKqITFxcUhOjpaWE7Ezc0Nvr6+cHZ2hkzGgh4RUVHopVB1/fp13Lx5E6mpqVxAnIiIiOgNio6OxqeffoqJEyfmeopYzZo18eeff6Jjx46YPHky7t+/j2XLlkEkEhkoW6K32+bNmxEXFydsOzk5oWbNmgbMiIio9HmtQtXZs2cxZMgQ4Ql5AIRC1fHjx9G+fXts2bIFH3zwwetlSURERER5ioqKQoUKFfLd7+rqipMnT6Jr165YsWIFHj58iK1bt8LS0vINZkn09lKpVLh16xbS0tKQlJQEAPDy8oK1tTWaNGli4OyIiEofnQtV165dQ+vWrSEWi/HFF1/g5s2bWoufv/feeyhTpgy2b9/OQhURERFRCSmoSJVDLpdj//79GDx4MNavX49WrVrhzJkzbyA7orffzZs3hYcY5OjUqRMcHBwMlBERUemmc6Eq50l658+fR5UqVTBt2jStQpVIJELTpk1x9uzZ18+SiIiIiF6LmZkZ1q5di4oVK2Lu3LmGToforZGamgoAsLGxQcWKFVG2bFnY29sbNikiolJM50LVsWPH0K1bN1SpUiXfPpUqVcLBgwd1PQURERER6dmsWbPg4eFh6DSISr3Q0FD8/fffUKlUALIXTu/Ro4eBsyIiKv10LlQlJyfDxcWlwD7p6enCD24iIiIiMg5DhgwxdApEpZZKpUJWVhYuXbqEzMxMob1cuXIGzIqI6O2hc6HKzc1NaxH1vPz999+oXLmyrqcgIiIiogL07t0b3bt3R9euXQ1yPJGpefz4MUJCQqBQKIS2jz/+GGXLloWdnZ0BMyMienuIdT2wU6dOCA0NxR9//JHn/m3btiEiIgIffvihrqcgIiIiogJs2bIFV69eNdjxZFqUKg2mbU3EkGXxOH9Xaeh0DOLRo0daRSpHR0d4enqySEVEpEc6z6iaNGkSduzYgY4dO2LAgAF48uQJAGDZsmX4888/sXnzZnh4eGDcuHF6S5aIiIiItF28eBHr1q0zdBpkAp4nqvFP3H/LephLAHdnnT9OlGrVqlVDjx49IJFIIBKJDJ0OEdFbReffLM7Ozjh27Bj69euHX375RWgfPXo0AKBJkybYvHkzv10gIiIiKkG7d+/G7t27c7UX9uFZo9GUUEb0trOSijDjYztIzUWQmptGkebEiRM4f/68sCaVWCyGmZlpFumIiEraa/109fLywqlTp3Dx4kVEREQgPj4etra2aNKkCRo3bqyvHImIiIgoD2vWrHntGPXr13/9RMikiEWArZXOK4iUSufOnUNSUpKw7eTkZMBsiIjebnr5GqB+/fq8yCEiIiJ6wwYMGAAAOHXqFEJCQvD8+XO4u7ujd+/e8PHxMXB2RG+PnBmIH330EcqWLVvo08+JiEh3RS5UffLJJzqdQCQSad0aSERERET6c/z4cbRt2xYqlUr4ML1kyRLMmjULEydONHB2RKXXixcvsHHjRqSkpAi3/Dk7O6Ns2bIGzoyI6O1W5EJVSEhInu0ikSjPNQ5y2lmoIiIiIio5s2fPRlZWFoYMGYKWLVvi9u3bWLx4MSZPnoyWLVuiadOmejvX2bNnERwcjNOnT0OpVKJOnToYN24cevbsqVO8Fy9eoHbt2nj06BECAgJw8OBBveVKpKuEhATcu3cPDx48QFxcnNAulUphb29vuMSIiExEkQtV0dHRWttqtRpjx45FREQExo4di/feew9ly5bF06dPcfz4cSxevBhNmzbFjz/+qPekiYiIiCjb5cuX4e/vjxUrVghtvXv3Rt26dbF8+XK9FaqOHj2KgIAAyGQy9OrVCzY2Nti5cycCAwPx4MEDjB8/vtgxR48ejcTERL3kR6Qvv/32Gx4/fixsV65cGR06dIBcLodUKjVgZkREpqHIhSp3d3et7blz5+LMmTO4dOkSypcvL7R7e3ujRYsWGDRoEBo0aIAdO3bgq6++0l/GRERERCR4+vRpriUaqlWrhs6dO+PkyZN6OUfOjC2xWIzjx48La5NOmTIFPj4+mDRpErp3757rerEgO3fuxKZNm7B06VLhqdFExiAtLQ0A4OHhAblcDl9fXy6eTkT0Bun8uI5ffvkFPXv21CpSvaxChQro2bMnVq1apXNyRERERFQwjUYDCwuLXO1VqlTRmhXyOo4cOYK7d++id+/eWg/QsbOzw6RJk6BQKLB27doix3v27BlGjBiBfv364f3339dLjkSvQ6PRICYmBi9evIBCoQAAtG3bFt26dUOFChUMnB0RkWnR+al///zzD2QyWYF9ZDIZ/vnnH11PQURERERFIBKJcrXJZDLhA/frCg8PBwC0a9cu176AgAAAwLFjx4ocb/jw4ZBIJFi0aBFv/SsFHsZnIexiBpLSc69L+7aIjo7Gpk2btNrEYp2/0yciotegc6GqYsWK+O233zBjxow8C1ZpaWn47bffULFixddKkIiIiIgKtnDhQpw5cwaNGjVC48aN0bhxY73Gj4yMBABUrVo1175y5cpBLpcLfQqzYcMG7Nq1C7t374aDg0OxC1WZmZnCE9gAICkpCQCgVCqhVCqLFasgObH0GbM0yGvcB/9OR8TtLGHbSvr2vS4JCQkAAIlEggoVKqBMmTJwdHR868aZF/5b57hNhamO3ZjGXdQcdC5UffrppwgKCkKzZs0wZcoUNG/eHE5OToiLi8OJEycwffp0xMTEYM6cObqegoiIiIgK0aBBA1y7dg379+/H/v37hdlVOYs+z5kzB/Xq1UP9+vXh6uqq0zlyikl2dnZ57re1tS1SwenRo0cYM2YMPv74Y3Tp0kWnXObMmYNp06blag8NDYWVlZVOMQsSFham95ilwcvjvh/vDcAFZWXP4SRNhLM0Afv3pxkuOT1TqVT4f3t3HhdV1f8B/DMDw7AMq+CWyqJoauaSooZrhphpVppohWLmWlk/tQU1wV17tEetxzJJJXcNn5YnFRAFN8C91NQQRc01lX0dmPP7g2ZynAEGGJyB+bxfL14655577vfMHWYO37n3nPT0dACAvb093NzcoFKpLG4VSr7WLYul9huw3L6bQ7/VcwBWpMqJqg8//BB//PEH1q1bh1dffRVA6eWxKpUKQOl93mPGjMGHH35Y1UMQERERUQVOnDgBpVKJM2fO4OTJkzhx4gROnjyJ3377DUIIzJw5U5O8cnd3R/v27dGxY0csWbLkscf69ttvQyaTYeXKlVVuIzQ0FFOnTtU8zsrKQtOmTdG/f384OTkZI0wApd/6xsbGIiAgADKZzGjtmjt9/b69Lx83U4vRs+MTeO4pbxNHaFy7d+/GmTNntMp4zi0D+21Z/QYst+/m1G/1VdAVqXKiSiqV4ttvv8WoUaMQGRmJ3377DZmZmXB2dkb79u0RHByMPn36VLV5IiIiIjKQTCZDp06d0KlTJ7z99tsASq8SOXfuHE6cOKFJXv3666/Yu3cv4uLiKpWoUl9JVdZVU1lZWXB1dS23jcjISOzevRs7duyAu7u7wcd+lFwu11wt9jCZTFYjA/CaatfcPdxviaT0VksrqVWdeC5ycnKwdetW5OTkaL2mJRIJHB0dec4tDPtteSy17+bQb0OPX+VElVrv3r3Ru3fv6jZDREREREZkZWWFp59+Gk8//TTGjBkDAFCpVDh//jxOnDhRqbbUc1OlpKTgmWee0dp2+/Zt5OTkwM/Pr9w2Tp06BQB47bXX9G6Pjo6GRCJB+/btcfr06UrFR2SIAwcOIDExEQUFBTrbpkyZAjs7O0RHR5sgMiIieli1E1VEREREVDtIpVK0bdsWbdu2rdR+vXv3xqJFixATE4MRI0ZobVP/YV/RF5fdu3dHTk6OTnlOTg62bduGJk2aIDAwEM2aNatUbEQVuX37NrKzs3HixAmtJJWnp6fmllGFQmEWEw0TERETVURERERUgX79+sHHxwebN2/GlClT0KFDBwCltwIuXLgQNjY2GDVqlKb+rVu3kJmZiUaNGmluGwwKCkJQUJBO22lpadi2bRvatm2LiIiIx9Ifshw3btzQeV29+uqraNKkCVxcXDTztxERkflgooqIiIiIymVtbY2IiAgEBgaiV69eGDFiBBwdHREVFYWrV69i6dKl8PLy0tQPDQ1FZGQk1q1bh5CQEJPFTZbr6NGjSExMREZGhqascePGcHV1RevWrWFtzT+DiIjMFd+hiYiIiKhCffv2xaFDhxAWFoZt27ZBqVSiXbt2WLJkid4rpaj2O/B7Aa7/VYK0u8WmDqXSTp48qZWk6tixI1566SXTBURERAZjooqIiIiIDOLn54fdu3dXWG/9+vVYv369QW16eXlBCFHNyMjYMnJV2BCfp1VmLzfv2+SKiorw888/IysrCw8ePAAAvPDCC2jWrBnq169v4uiIiMhQTFQREREREZGWor8vorKWAi90soWDrRTPNLcxbVAVSEtLw9mzZ7XKvL294eHhYaKIiIioKpioIiIiIiIivWTWErzkZ2/qMMp19epVrVv93Nzc0K9fP7i4uDBJRURUCzFRRUREREREtYpKpcKRI0eQmZmJ48ePa22rV68e2rRpY6LIiIioupioIiIiIiKiWuXatWuIi4vTKmvTpg2aNWuGJ5980kRRERGRMTBRRUREREREtcKZM2dw5MgR5OfnAwAUCgWeeeYZODs7o0OHDpBIzHvCdyIiqhgTVUREREREZLaEEDhx4gQyMzNx6NAhrW3NmjVDnz59TBMYERHVCCaqiIiIiIjIbN24cQO//PKLVlmPHj3g4+ODpk2bmigqIiKqKUxUEdViQlWCq1ev6pSXlJQAAC5fvgwrK6sK2/H29jaoHhEREdHjcvjwYezbtw8qlQoAYG9vj3bt2sHJyQndunWDVCo1cYRERFQTmKgiqsVyM25i2Y+Awi1Dq9xaqkJQe2DOtkwUq8ofxOU8uI6VU4AWLVrUYKREREREhvnzzz+Rnp6OU6dOaZJUANC2bVsMGDDAhJEREdHjwEQVUS2ncGsK5/o+WmXWkmIAt+Ds4YViwV9zIiIiMsyVOyVIuvcUftuXb5Lj37t3D99++61W2SuvvIIWLVrA3t7eJDEREdHjxb9giYiIiIgIAHDoQhHuFboChaVXMrk4PJ5V9I4fP459+/ZpVvMDSqcmcHJywpNPPgkbG5vHEgcREZkeE1VkEJVKhYyMjGq1Ubq/rTHCISIiIqIaUPL3nXZdfa3R0ccWzRvW7J8Lf/31FzIyMnD8+HGtJFW7du3w6quv1uixiYjIPDFRRQbJyMjA7uQ7sLFzrnIbuen34eD6hBGjIiIiIqKa8ISbFZ5pXrNXMWVkZGDVqlVaZQMGDICvry9cXV1r9NhERGS+mKgig9nYOcPWoeqDhqL8TCNGQ0RERES1UWpqKg4dOoS8vDwAgJWVFRo0aABHR0c8/fTTsLOzM3GERERkSkxUERERERFRjTt//jzu37+PuLg4rfKmTZti9OjRJoqKiIjMDRNVRERERERUo+7fv4/t27drlT311FNo06YNPD09TRQVERGZIyaqiIiIiIioRvzxxx+Ij49HQUEBAMDGxgZt2rSBQqFAr169IJPJTBwhERGZGyaqiIiIiIjIqFQqFZRKJY4dO4Zbt25pyhs3bowhQ4aYMDIiIjJ3UlMHUJZjx45h4MCBcHFxgYODA7p166ZzuXBFCgsLMXfuXPj6+sLW1haNGzfG+PHjcffuXZ26eXl5WLZsGV5//XU8+eSTkEqlkEgkSEtLK/cYf/zxB4YPHw53d3fY2dmhffv2+OqrryCEqFSsRERERESmcvD3QmxKyEXa3ZJqt1VYWIgVK1Zg8eLFuHTpEgCge/fuCA4OxsiRI6vdPhER1W1meUXV/v37ERgYCFtbW4wYMQKOjo6IiopCUFAQrl+/jmnTplXYhkqlwpAhQxAdHY1u3bph6NChSElJQUREBOLi4pCUlAQPDw9N/bt372L69OkAAE9PT7i6uuLBgwflHuP333/Hs88+i/z8fAwfPhyNGzfGL7/8gsmTJ+P333/HF198Ub0ngoiIiIiohmXlqfBdfK5WmZ1N5du5ffs2kpOT8eeffyIrK+uftuzs0LFjR62xNxERUVnMLlFVXFyMcePGQSqV4sCBA+jQoQMAYPbs2fDz88OMGTMwbNiwCiddjIyMRHR0NEaOHIlNmzZBIpEAAL7++mtMmjQJs2bNwurVqzX13d3dERMTg2eeeQZubm4YMGAAoqOjyz3GpEmTkJmZiV27duGFF14AAMybNw/PP/88vvzyS7z++uvo3r17NZ4NIiIiIqKaVVRceieAlRQI7GCDq6nn0bl5+0q3c+jQIZw7d07z2N3dHRMmTIBUKoVUarY3chARkZkxu0+Mffv2ITU1Fa+//romSQUAzs7OmDFjBoqKihAZGVlhO2vWrAEALFq0SJOkAoAJEybAx8cHmzZtQn5+vqZcoVAgICAAbm5uBsX5xx9/4MCBA+jbt68mSQWUThA5b948rRiIiIiIiMydlRQY9Iwc3oqbkMskFdZXKpXIz8/HunXrsHz5cly8eBEA0KZNGwQGBiIoKAjW1tZMUhERUaWY3RVV8fHxAID+/fvrbAsMDAQAJCQklNtGQUEBkpOT0apVK50rryQSCQICArB69WocP34cPXv2NHqcPXr0gIODQ4VxEhERERHVRkePHsXu3bv1buvSpQu8vLweb0BERFRnmF2iKiUlBQDg6+urs61hw4ZQKBSaOmVJTU2FSqXS28bDbaekpFQ5UVVenFZWVvD29sbvv/+O4uJiWFvrf5oLCwtRWFioeay+l1+pVEKpVFYpLn3UbVWlzeLiYs3E8FZSwEpa9Unira0kNd6GlRSwlpbAWlJc+viRfwFAZgVYS1WaOlVh7m3o63dZrKUqlJSUGPU1ZyrVea3XZpbab8By+85+m77f5hADkSmcOXMGd+/exfnz57XKGzRogJdeegn29vZwcXExTXBERFQnmF2iKjMzE0DprX76ODk5aepUp42H61WFIcdQqVTIzs6Gq6ur3jqLFi3CnDlzdMpjYmJgb29f5djKEhsbW+V9rays0K+9A4BqDMxbNPr7PzXZhhzAeZ3SgEbH/nnQWArg1t8/VVRL2tDqd5ltABcu3MKFCxeqHoeZqc5rvTaz1H4Dltt39tt08vLyTB0C0WNTVFSE1NRUPHjwAHv37tXa9tJLL6Fdu3ZlfjFLRERUWfxEMaHQ0FBMnTpV8zgrKwtNmzZF//79Nck0Y1AqlYiNjUVAQABkMlml9k1PT0diYiJKSkoQf7YAtg4uVY4j+/41yGydarSN/Lwc5Nh3gK196XYrSTECGh1D7K0uKBGlL/ebfxyGg+sTcPbwqnIc5t6Gvn6XJfOvNIQFOcPHx6fKcZiL6rzWazNL7TdguX1nv03f74dXNCOq6/bv34+kpCStsq5du8LBwQFt27ZlkoqIiIzK7D5V1FcolXW1U1ZWVplXKFWmjYfrVYUhx5BIJHB0dCyzDblcDrlcrlMuk8lqZABelXatra01k9GXqIASVcUTa5aluERAWsNtlKiAYpUVih9JzpQIa02ZsgQoVkl16lRGbWnj4X6XpVglhZWVlcn/6DOmmvodMneW2m/AcvvOfps2BqK6TKVSITIyErdu3dKaqsLb2xvt2rVDx44dTRgdERHVZWaXqHp4/qhnnnlGa9vt27eRk5MDPz+/ctvw8fGBVCotcy6r8uaXqkqcjyopKcGVK1fg7e3Nb5iIiIiIyGwVFQsUKP+Z+zM7Oxu3b9/GDz/8gLS0NE25RCJBcHAwvL29TRAlERFZErNbK7Z3794ASudpelR0dLRWnbLY2dnBz88PFy9exNWrV7W2CSEQGxsLBwcHdO7cuUbiPHToEHJzcyuMk4iIiIjIVI5cKMR7a9IxZ1sW5EVXYZ9zAl988QVu376tNXflu+++i2nTpjFJRUREj4XZJar69esHHx8fbN68GadPn9aUZ2ZmYuHChbCxscGoUaM05bdulU4C/egteOPHjwdQOg+UetU6AFi9ejUuX76MN954A3Z2dlWOs1WrVujVqxf279+vtTRvUVERPv30UwDA22+/XeX2iYiIiIhq0h83lVAJQKrKh3vmz1BkH9Fss7KyQteuXREcHIx69erBwcHBhJESEZElMbv70qytrREREYHAwED06tULI0aMgKOjI6KionD16lUsXboUXl5emvqhoaGIjIzEunXrEBISoikfPXo0tm3bhi1btuDKlSvo3bs3Ll26hJ07d8Lb2xvz58/XOfb06dNx7949AKVL76rLFAoFgNLEU48ePTT1V61aBX9/f7z88ssICgpCo0aN8Msvv+DcuXN499138eyzz9bAM0REREREVH1FuX/BLfMIGjgWIRsCEokE7dq1w61bt/Dmm28adXEfIiIiQ5ldogoA+vbti0OHDiEsLAzbtm2DUqlEu3btsGTJEgQFBRnUhlQqxY8//ojFixdjw4YN+Pe//w03NzeMHTsW8+fPh4eHh84+33//vc6tglFRUZr/9+nTRytR1bZtWyQnJ2PWrFn45ZdfkJubi5YtW+I///kPJk2aVMXeExERERHVnJiYGNy4cQO3rl2DPYDs+6Xlzs7OGDRoEHbt2lWtOw+IiIiqwywTVQDg5+endUtdWdavX4/169fr3SaXyxEWFoawsDCDjvnwhJGGatWqFXbs2FHp/YiIiIiIHpfi4mJcunQJGRkZSExM1NrmWK8p+vp3RLNmzUwUHRER0T/MNlFFRERERETVc+PGDdy6dQvx8fHIzc3V2ubeejDO37RCl+4t0LFj6RxUSqXSFGESERFpMFFFRERERFQHFRUVYf369SguLtYqb+bpjfpP+CK1yBeFNkpIJGa3vhIREVkwJqqIiIiIiOogpVKpSVK1bt0acrkcPXr2wdz/qpCXIgCUXj0lkZgwSCIiokcwUUVEREREVMcNHz4cAJCeo0JeYQYAoL6zFA5yCdp72ZgwMiIiIm1MVBERERERWRgrKbDgDRdTh0FERKSDN6QTEREREREREZFZYKKKiIiIiIiIiIjMAhNVRERERERERERkFpioIiIiIiIiIiIis8DJ1ImIiIiI6pCsrCwkJSUhLy9PU6YsFjh3XYn0HJUJIyMiIqoYE1VERERERHVIcnIyEhMTNY/lcjl2n8zHz8cLNGVWvK+CiIjMFBNVRERERER1iFKpBAB4enrCy8sL3t7eOHBFAADcnaTwcJKig7eNKUMkIiIqExNVRERERER1kKenJ/r06VP64EouAMD/STkGdbYzXVBEREQV4EW/RERERERERERkFpioIiIiIiIiIiIis8BEFRERERERERERmQXOUUVEREREVEephEChEihWCVOHQkREZBAmqoiIiIiI6iAhgHnbs/Dn/RJTh0JERGQw3vpHRERERFQHFRULrSSV3BrwbcTvqYmIyLzxk4qIiIiIqA7YvXs30tLSkJ2drbNt1QRXSCWAlVRigsiIiIgMx0QVEREREVEtV1BQgKNHj2qVOTu7aP4vs2KCioiIagcmqoiIiIiIajkh/pks/Y033oCdnR0ULg2BE5kmjIqIiKjyOEcVERERERnk2LFjGDhwIFxcXODg4IBu3bph+/btBu0rhMDu3bsxadIkPP3003B2doa9vT3at2+PhQsXoqCgoIajtxw+Pj544oknIJHwKioiIqp9eEUVEZEJqVQqZGRkVKuN4uJiAEB6ejqsrWv2bd3FxQVSKb/jILJE+/fvR2BgIGxtbTFixAg4OjoiKioKQUFBuH79OqZNm1bu/oWFhRg4cCDkcjn69OmDwMBAFBQUIDo6GjNnzsQPP/yA+Ph42NvbP6YeERERkTliooqIyIQyMjKwZ88eKBSKKrehvt0jMTGxRr89z8nJwYABA+Dm5lZjxyAi81RcXIxx48ZBKpXiwIED6NChAwBg9uzZ8PPzw4wZMzBs2DB4enqW2YaVlRXmz5+PyZMnw9XVVVOuVCoxdOhQ/Pzzz/jPf/6DDz/8sKa7U+dl5alw+EIhsvNVpg6FiIio0pioIiIyMYVCAScnpyrvL4RAVlYWnJyceJsHEdWIffv2ITU1FWPGjNEkqQDA2dkZM2bMQEhICCIjIzF79uwy25DJZJg5c6be8tDQUPz8889ISEhgosoI4n4twJ5fizSP5TITBkNERFRJTFQRERERUbni4+MBAP3799fZFhgYCABISEiocvsyWWkmpaZvX7YUBcrSK229G1iheQNrtGnKTBUREdUeHA0QERERUblSUlIAAL6+vjrbGjZsCIVCoalTFWvXrgWgPxH2qMLCQhQWFmoeZ2VlASi9hVCpVFY5hkep2zJmmzXp4ThVovSWv9ZPWGHQMzY62w1pp7b025gste/sN/ttKSy17+bUb0NjYKKKiIiIiMqVmZkJoPRWP32cnJw0dSpr9+7dWL16NVq3bo2xY8dWWH/RokWYM2eOTnlMTEyNTMQeGxtr9DZrgnphDQBIu3oVQBOkpKRg151rVWqvtvS7Jlhq39lvy2Kp/QYst+/m0O+8vDyD6jFRRUREREQmcezYMQQFBcHZ2Rk7duyAXC6vcJ/Q0FBMnTpV8zgrKwtNmzZF//79qzXf36OUSiViY2MREBCguTXRnOXn5+Ps2bMAAC9PT1w7XwJfX18MfOapSrVT2/ptTJbad/ab/bYUltp3c+q3+iroijBRRURERETlUl9JVdZVU1lZWVor+Rni+PHj6N+/P6RSKaKjo9G2bVuD9pPL5XoTWjKZrEYG4DXVrrE9fEWVVCIFUAKpVFrl2GtLv2uCpfad/bYsltpvwHL7bg79NvT40hqOg4iIiIhqOfXcVPrmobp9+zZycnL0zl9VluPHjyMgIAAqlQrR0dHo0qWL0WIl4Mw1089DQkREVFVMVBERERFRuXr37g2gdB6oR0VHR2vVqYg6SVVSUoI9e/aga9euxgvUAl27dg2rVq3Cqq++0pTdzy6dTN3JnkN9IiKqffjpRURERETl6tevH3x8fLB582acPn1aU56ZmYmFCxfCxsYGo0aN0pTfunULFy5c0LlV8MSJEwgICEBxcTF2796N7t27P64u1Fnnz5/HX3/9hZzsbABAsdQZb/ZxwMRABXq0rnjOLyIiInPDOaqIiIiIqFzW1taIiIhAYGAgevXqhREjRsDR0RFRUVG4evUqli5dCi8vL0390NBQREZGYt26dQgJCQEAPHjwAAEBAcjIyMCAAQMQGxurswKRi4sLPvjgg8fXsTpACAEAaPtUe+z7sxWKrV3Ro7UtrKQSE0dGRERUNUxUEVGFVCoVMjIyTB1GhdQTyaanp8Pd3R1SKS8aJSIylr59++LQoUMICwvDtm3boFQq0a5dOyxZsgRBQUEV7p+VlYX09HQAwJ49e7Bnzx6dOp6enkxUVZFCoYBS1sDUYRAREVUbE1VEVKGMjAzs2bMHCoXC1KGUS/2t8t69ezFgwAC4ubmZOCIiorrFz88Pu3fvrrDe+vXrsX79eq0yLy8vzfs0ERERUVmYqCIigygUCjg5OZk6jHIJIZCVlQUHBwdTh0JERERERERVwPtiiIiIiIhqqZLSBf7w5/0S0wZCRERkJLyiioiIiIiolsnPz8dff/2F1D8zAADn/1QCCsBKCnAadSIiqs2YqCIyESFUKMrPREFuepXbKCrI1tuGtbT0W9WCvAwUq6zKbyM/ExkZpasxlSU9PZ3zihAREZkJlUqFVatWIScnR1PmYCtFCx8Z2jaVQcoV/4iIqBZjoorIRJSFuagnvQ7HvPtVb8T2LmxQAPkjbVhJAUAORd5pzS0BZbFBBs6dk+PmzZtl1rl9+zZcXFyqHicREREZjVKp1CSpZHYuyFXaoM2TrfFGf0cTR0ZERFR9TFQRmZDc1h529lUfVCrzHGBjp4DtI21YSQUAJezsFShRlf+tqkQUw9HRttyJ0rOzs6scIxEREdUc764h2HeuBM842Zo6FLOkVCpRUmLY/F1KpRLW1tYoKCgweJ+6gP1mvy2Fpfa9JvttZWUFmUxm1DYBJqqIiIiIiKiOycrKwr1791BYWGjwPkIINGzYENevX4dEYjm3T7Lf7LelsNS+13S/5XI53N3djbpCPBNVRERERERUZ2RlZeHGjRtQKBRwd3eHTCYz6I8zlUqFnJwcKBQKSKWWszg6+81+WwpL7XtN9VsIAaVSiczMTNy4cQMAjJasYqKKiIiIiKiW+jVNCcBy/uAyxL1796BQKNCkSZNKXT2gUqlQVFQEW1tbi/sjlv1mvy2Bpfa9JvttZ2cHR0dH/Pnnn7h3757RElWWc3aIiIiIiOqAQuU/K/HezyldNcXJjsN6oHQulsLCQjg7O1vUrT1ERKYikUjg7OyMwsJCKJVKo7RptldUHTt2DGFhYThy5AiUSiXatWuHqVOnYvjw4Qa3UVhYiCVLlmDDhg24fv063NzcMGjQIMyfPx/169fXu8+mTZuwYsUKnDt3DjY2NvD398fcuXPRqVMnnbpeXl64evWq3nZ69+6N+Ph4g2MlIjJ3KpUK6enppg5DS3FxMQAgPT0d1ta6H2kuLi4W9Y0ZEdVthYWF+O2335CVnaspG9nTHs4ONnja0/iT2dZG6omCa2JyXyIi0k/9nltSUmKU91+zTFTt378fgYGBsLW1xYgRI+Do6IioqCgEBQXh+vXrmDZtWoVtqFQqDBkyBNHR0ejWrRuGDh2KlJQUREREIC4uDklJSfDw8NDaZ8GCBZg1axY8PT0xceJEZGdnY+vWrXj22WcRFxcHf39/neM4Ozvjgw8+0Cn38vKqaveJiMxSbm4uEhIS4O7ubupQNIQovaogMTFR55vznJwcDBgwAG5ubqYIjYjI6I4ePYp9+/ZpHgtI8WwrW9jKzXJIb1K8moqI6PEx9nuu2X2qFRcXY9y4cZBKpThw4AA6dOgAAJg9ezb8/PwwY8YMDBs2DJ6enuW2ExkZiejoaIwcORKbNm3SPHFff/01Jk2ahFmzZmH16tWa+ikpKQgPD0fLli1x9OhRODs7AwAmT56Mbt26Ydy4cTh79qzON/MuLi4IDw833hNARGTGFAqFUVf0qC4hBLKysuDk5MQ/SoiozsvPzwcAuLt74GqOOwplTWBlZWXiqIiIiIzL7O6H2LdvH1JTU/H6669rklRA6ZVLM2bMQFFRESIjIytsZ82aNQCARYsWaf3xMmHCBPj4+GDTpk2aD3sAWLduHYqLizFz5kxNkgoAOnTogJEjR+L8+fM4dOiQEXpIRERERFR1Ps1bIN3xeeTZPmnqUIiIiIzO7BJV6nmd+vfvr7MtMDAQAJCQkFBuGwUFBUhOTkarVq10rrySSCQICAhAbm4ujh8/Xu3jFhYWYv369Vi4cCG+/PJLJCcnlxsbERERERER/SMkJAQSiQRpaWmmDsUoYmJi4O/vD1dXV0gkErz88svl1q9r/TdHffr0qdQVqOvXr4dEIsH69eurdLy0tDRIJBKEhIRUaX9LZ3a3/qWkpAAAfH19dbY1bNgQCoVCU6csqampUKlUett4uO2UlBT07NlT83+FQoGGDRuWW/9Rt2/fxpgxY7TKunTpgi1btqB58+blxllYWIjCwkLN46ysLAClq5UYa7Z8dXsP/1sZxcXFmjlgrKSAlVRUsEfZrK0kNd6GlRSwlpbAWlI6wbLVI/8CgMwKsJaqNHWqwihtWKv7Y/znw0oi/vm3gnS01d/b1ee5PIbUMaWH4ysuLjbq71FNUf+OVee5Ve/7uM6POb0Oyuu7EKLWvA4qqzrv67WZOfXbHGIgInpUWloavL29AZR+AR8dHa1TJykpCd27d8fo0aOr/Ec4lS0tLQ1DhgyBi4sLxowZAycnJzz5JK9+JPOifq8IDAzEnj179NaJj49H3759MWHCBHz99dePNT6zS1RlZmYCgNbtdw9zcnLS1KlOGw/XU/+/rJUA9dUHgDFjxqBnz5546qmnoFAo8Mcff+Dzzz/Hhg0b0K9fP5w5cwaOjo5lxrlo0SLMmTNHpzwmJgb29vbl9LBqYmNjq7yvlZUV+rV3AFCNgXmLRn//pybbkAM4r1Ma0OjYPw8aSwHc+vuniozShvr1WXPPR7fmhiTSHAD8kyjVR6FQVFjH3CQmJpo6hEoxxnObnZ1thEjKZs6vg7L6XtteB5VVnff12swc+p2Xl2fqEMgCZeeXJuWT/igyw1E8mZuYmBjs27cPzz33nKlDsSh79+5FQUEBli1bhtdff93U4VAVvfLKK+jWrRsaNWpUcWUyOn7EVUNYWJjW4w4dOuC7774DAGzYsAFr1qzB1KlTy9w/NDRUa3tWVhaaNm2K/v37G3WyYqVSidjYWAQEBFR6qcj09HQkJiaipKQE8WcLYOvgUuU4su9fg8zWqUbbyM/LQY59B9jal263khQjoNExxN7qghJR+nK/+cdhOLg+AWcPryrHYYw20s7sQTOXQjjXe6LKbZT1fFhJBLo1L0ZSqjVKRPkTTBfkZqDPU7ZwdXUts87Nmzchk8l0Vso0N0IITcKie/fu5fbJXKh/x6rzO6/ut6OjY41OKG6Or4Py+p6ZmYk2bdrAxcXFNMFVkrOzs86CHWWpzvt6bWZO/TbHhC3VfbfSSwAAuQUqQAE420s0V0YTPczLywvXrl3Dxx9/jKNHj3LBkcfo5s2bAIDGjRubOBKqDmdn5zIvfKGaZ3YfbeoXQ1lXTWVlZVX4gjGkjYfrqf9fmfrlmTBhAgDg8OHD5daTy+VwcnLS+gEAmUxm9J+qtmttba35YCtRASUqSZV/ikvEY2gDKFZZoVhYo1hYa5JTJX8/LhbWUJYAxSqp5nFVfozSRjH+7k8NPB9/J6dKhCHtlL4eJRJJmT9q5dUxlx81a2vrGvldMvaP+nfMGP1+XM+tqc+xoX3Pzc3FoUOHkJSUZPY/e/fuRW5u7mN5X6/tP+bUbyJTaeAixf8NdkRYkDOkUiYgSFerVq0QHByM48ePY/v27Qbt4+PjAy8vL73b+vTpozUWAIDw8HBIJBLEx8dj3bp1aNeuHezs7ODt7Y2VK1cCKP1CadmyZWjVqhVsbW3h6+ur+WJfH5VKhc8++wy+vr6wtbWFt7c35s6dW+bt1gcOHMDgwYPh7u4OuVwOX19fzJo1S+eq1/j4eEgkEoSHh+PIkSPo378/3NzcDP5S8+zZsxg+fDjq168PuVwOb29vfPDBB7h//76mjnpOIvXFDH379tWMSdTzIVdECIGVK1fiySefhFwuh6enJ+bMmQOVSqW3/o8//oh+/frB1dUVtra2eOqpp7B06VKUlJRo1cvMzMSSJUvQu3dvNGnSBPXr10eTJk0watQopKamatWdN28eJBJJmedp586dkEgkmDlzJjIzM+Hg4IC2bdvqratSqeDl5QVXV1ethcwedfDgQUgkErz11lt6t9+9excymQz+/v5a5dnZ2QgLC0Pbtm1hZ2cHFxcXBAYGlrsImlKpxJw5c+Dl5QW5XI6WLVti1apVOvXKm6Pq8uXLGD9+PLy9vSGXy1G/fn306dPH4FtpKxP3rVu38P7778PX11dTt3Xr1pg4cWKFd5rVZmZ3RdXD80E988wzWttu376NnJwc+Pn5lduGj48PpFJpmXNZ6ZsHy9fXF4mJibh9+7bOPFXlzZulj7u7OwAgNzfXoPpERFQzFAqFUa9QJSIyB3Y2UrRpymQplW/u3LnYunUrZs2ahVdffbXGEuzLly9HfHw8hgwZgueeew5RUVF4//33YW9vj1OnTiEqKgqDBg1Cv379sHXrVowePRpeXl7o1auXTlsffPABDh8+jOHDh0OhUODnn39GWFgYfvvtN3z//fdadb/66iu88847cHFxweDBg1G/fn0cP34cCxYswP79+7F//37Y2Nho7XPkyBEsXLgQffv2xbhx43SSNPocOnQIgYGBKCoqwrBhw+Dl5YXExESsWLEC//vf/5CUlAR3d3e4uLggLCwM8fHxSEhI0PQTQJkJwEd9+OGHSEhIwKBBgxAYGIgffvgB4eHhKCoqwoIFC7TqhoaGYvHixXjiiSfw6quvwtnZGQcPHsSHH36I5ORk7NixQ1P3/PnzmD17Nvr27YuXX34Z1tbWuHLlCjZv3oxffvkFJ0+e1CxC9uabbyIsLAwbN27EqFGjdGLcsGEDACA4OBjOzs4YMWIE1q5diyNHjuDZZ5/VqhsbG4urV6/inXfegZ2dXZn97tGjB7y8vBAVFYVVq1bB1tZWa/uWLVtQXFyM4OBgTdmDBw/Qq1cvnDt3Dv7+/pg4cSKysrLw448/om/fvtixY4feSezffvttnDp1Ci+88AKsrKywfft2vPPOO5DJZBg3blyZMaodOnQIL774IrKzsxEYGIgRI0YgPT0dp06dwooVKyqcPL0ycefl5cHf3x9paWno378/XnnlFRQVFeHKlSvYsGEDpk+fXmev+jK7RFXv3r2xaNEixMTEYMSIEVrb1JMB9u7du9w27Ozs4Ofnh6SkJFy9elVr5T8hBGJjY+Hg4IDOnTtrHTcxMRExMTE6v5CGHldNvfKfoW9IRERERERl+f7773Hp0iUUFVV9ERdLJ4RARU+fSiVQVCxQqBSQVmOxm+qwsYbOlUtV1axZM7z33ntYunQpVq9ejXfffdco7T7q4MGDOHnyJHx8fAAA06dPR4sWLTB9+nQ0aNAAZ86c0UwbMHr0aHTr1g1Lly7Vm6hKSkrCr7/+iiZNmgAAFixYgICAAERFRSEqKgpDhw4FAPz++++YMmUKnn76acTFxaFevXqaNhYvXozQ0FB88cUXmDZtmlb7sbGxWLt2LcaMGQOVSlXhbdwqlQohISHIy8vDnj17NKvBA8BHH32Ef/3rX/j444/x7bffwsXFBeHh4QgPD0dCQgJCQkLQp0+fSj2XJ0+exG+//aaZF+nTTz+Fr68vvvjiC4SFhWkSb7GxsVi8eDECAwMRFRUFB4fSOWeFEJg8eTK+/vprreerdevWuHXrFtzc3DT9dnJyQkJCAp5//nnMnz8fa9asAQB4e3vD398f+/btw61bt7TmaHrw4AF27dqFzp07ayaInzBhAtauXYs1a9boJKoiIiIAoMIEkEQiwZtvvon58+fjp59+wvDhw7W2b9iwATY2Nlrl7733Hs6dO4c1a9bg7bff1pQvWrQInTt3xvjx4zFgwACdpNfNmzfx22+/aaaGeP/99/HUU09h2bJlFcZZWFiIESNGICcnB7t27cKAAQO0tv/555/l7l/ZuOPi4nDlyhV88MEH+Pe//63VTk5OjlGSz5cuXUJ4eLjebaZchdLsElX9+vWDj48PNm/ejClTpqBDhw4ASi9XXLhwIWxsbLQSSbdu3UJmZiYaNWqklU0cP348kpKSEBoaik2bNmne8FevXq25VO/hrO6YMWOwdOlSLFiwAEOGDNG0dfr0aWzZsgWtW7dGjx49NPUvXLiAZs2a6Ux6fuHCBXz88ccAwMnziExECIH09HRTh2GQ9PR0s1pFj4iIzEtxcTHOnTunVSZ3NJ+5AmuLomLg3TWGjg1MdzvNl+NcITfihU8zZsxAREQE5s2bh5CQEM3CKMb0/vvva5JUANC0aVP06NED+/btw8qVK7XmtuzatSt8fHzw66+/ltmWOkkFADY2NliwYAF69uyJ9evXaxIvq1evRnFxMb744gutJBVQmkD6/PPPsWXLFp1EVadOnXRWbC/P4cOHkZqaihdeeEErSQUAs2fPxrfffovNmzfjq6++0rl6qyo+/fRTrcSQu7s7hgwZgsjISFy8eBHt2rUDAHz55ZcAgG+++UaTpAJKEz6LFy/G6tWrsWXLFs3zVdZVN3379kXbtm2xd+9erfLg4GAcOnQIW7Zs0ZpTedu2bSgqKsKbb76pKfPz80PHjh2xY8cOrFixQnMl+19//YWffvoJXbp0Qfv27Svse3BwMObPn4+NGzdqJaTOnz+PEydO4OWXX4abmxsA4N69e9i2bRuee+45rWQPANSvXx8ffvghpkyZgr1792LQoEFa22fPnq11tX2rVq3g7++PhIQEzbynZfnxxx9x48YNjBo1SidJBUDrtatPVePWdzWasX6XU1NT9S7wZmpml6iytrZGREQEAgMD0atXL4wYMQKOjo6IiorC1atXsXTpUq0rlUJDQxEZGYl169ZpXWY3evRobNu2DVu2bMGVK1fQu3dvXLp0CTt37oS3tzfmz5+vddyWLVsiPDwcs2bNQvv27TF06FBkZ2dj69atAIA1a9ZoTXK7detWfP755+jVqxc8PT3h4OCAP/74A7t27YJSqURoaKjebwmIqObl5uYiISFBcxuuObt9+3atmeybiIhMzOt13MyyRZtG9SquSwTA1dUVn3zyCT755BMsXbq0zCsnqkN9YcHD1MmWsrap70B5VM+ePXXKunfvDmtra5w6dUpTlpSUBKD0zpe4uDidfWQyGS5cuKBT3qVLF73HLYv6mPqujFIoFOjcuTNiYmK0kkjV8ejUN8A/yY+MjAxNWVJSEhwcHLB27Vq97djZ2en0Pz4+HsuXL0dycjLu3buH4uJ/LjF8NMk2fPhwTJkyBRs2bNBKVG3cuBHW1tYYOXKkVv0JEyZg4sSJ2Lx5MyZOnAgA+O6771BUVGTQ7XRA6d/jfn5+2LNnD+7du6cZx2/cuBEAtG77O3bsGEpKSlBYWKj3Na2euufChQs6iSp9SbOHn+PyElVHjx4FAPTv39+gPj2qsnH36tULjRo1wuLFi/Hrr79i0KBB6N27N1q3bm20Ky8DAwOxZ88evdvi4+PRt29foxynsswuUQWUZnYPHTqEsLAwbNu2DUqlEu3atcOSJUsQFBRkUBtSqRQ//vgjFi9ejA0bNuDf//433NzcMHbsWMyfP1/vqlUzZ86El5cXli9frsmK9+zZE/PmzUOnTp10Yjx//jxOnTqFgwcPIi8vD+7u7hg4cCAmT55c5RcvERlHbZmbSL1KIRERkT7FJf9cdXsj2xHCygZ2NpxAvbJsrEuvViqPSqVCdnYWHB2dDF6F1dhsauCvsylTpuDLL7/EsmXLMHnyZKO3r2+8ZW1tXe62h5MkD2vQoIFOmZWVFerVq6c1cfSDBw8AQGfeporoa7886lsDy9pPnZAz1kqw5T2XD0+Q/uDBAxQXF5d7JczD8yXv2LEDQUFBUCgU6N+/Pxo1agRXV1dIpVKsX78eV69e1drXxcUFgwYNQlRUFH7//Xe0adMGqampOHLkCAYOHIj69etr1X/99dcxffp0REREaBJV3377LRQKhU5SqzzBwcE4evQotm3bhnfeeQdCCGzatAmurq548cUXtfoPlF7xVt4CZvrmjDb0OdZH/Rp84omqrdpe2bidnZ2RlJSE2bNn4+eff8auXbsAlF61+Mknn9TI77O5MMtEFVB6CeHu3bsrrLd+/foyZ9eXy+UICwvTrLxgiDfeeANvvPFGhfV69+5t8JxVRERERERV8fDd4QHtbeHsKIf/k3LTBVRLSSSSCm+pU6kkKLSWQC6T1KnVFO3s7DBnzhyMHTsWc+bM0boy5WFSqRRFRUV6tz2u1cXu3LmDVq1aaZWVlJTg/v37WskidbIhKyur3CtgHlXZq1DUx7lz547e7bdv39aq97g4OTlBIpHg3r17BtUPDw+Hra0tTpw4gebNm2vmqJJKpZo7iB4VHByMqKgobNiwAYsWLdJ7ZZOao6Mj3njjDaxevRqnT59Gbm4uzp8/j7fffrtSt6iNGDECU6dOxcaNG/HOO+/gwIEDuHr1KiZMmAC5/J/3PfXzPW3aNCxdutTg9qtLfRfEjRs3qrR/VeJu1qwZ1q9fD5VKhd9++w0xMTFYuXIl3nnnHbi6ulYqEVibmOarAiIiIiIiqpT+HWzRv4MdHGw5hKfKGT16NNq2bYs1a9bg0qVLeuu4urri7t27Olc75ebmlrmaurEdPHhQpywxMRHFxcXo2LGjpqxr164A/rkFsKaojxkfH6+zLTc3F8ePH4ednZ1Ocq2mde3aFffv3zf4vKSmpqJ169Y6q9jfunULly9f1rvPwIEDUa9ePWzevBkqlQqbNm2Co6MjhgwZorf+hAkTAJROmWPoJOqPcnd3x4ABA5CUlIRLly5pkmMPz4kFlN7CKZFIkJiYWKn2q8vPzw8AEBMTU6X9qxO3VCpFhw4d8NFHH2HLli0AgJ9++qlKcdQG/JQjIiIiIiKqw6ysrLBw4UIolcoy56nq3LkzlEolNm3apCkTQiA0NFTvLVQ1YcWKFVorpxUVFWHmzJkAoDUf8eTJk2FtbY333nsP165d02knIyNDa06rqvL390fz5s2xe/dunQnH58+fj/v372PkyJFGmUi9MqZMmQIAeOutt3D//n2d7bdv38b58+c1jz09PXHp0iWtK8MKCgowadIkKJVKvceQyWQICgrCtWvX8NlnnyElJQVDhw7VO7E3UJrU69KlCzZt2oQdO3bg6aef1iR2KkN9xVZERAR27NihWYXwYQ0bNsTw4cNx5MgR/Otf/9K7MFFycjLy8vIqffzyvPTSS2jSpAk2btyI6Ohone0VXWlV2bjPnTun92o+ddnDKxqmpaVBIpFozeddm5ntrX9EVSFUKhTmZWgeW0tL7zMuyMtAscoKAFBUkI2i/EwU5FZ9VThjtKEsyAFgVeX9iYiIiIgM9dJLL6FHjx44dOiQ3u3vvPMO1q9fj7fffhuxsbHw8PDAwYMHkZGRgfbt25e5Up8xdevWDe3bt0dQUBAcHBzw888/4+LFi3j11Vc1K9gBwFNPPYVVq1Zh0qRJaNWqFQYOHIjmzZsjOzsbly9fRkJCAkJCQvD1119XKx71HE6BgYEYOHAgXnvtNXh6eiIxMRHx8fFo3rw5Fi9eXN1uV9qAAQPw6aefYt68eWjRogUGDBgAT09P3L9/H5cuXcLBgwcxf/58tG7dGgDw3nvv4b333kPHjh0xdOhQ5OXl4cCBAxBClHtug4ODsWrVKsyePVvzuDwTJ07E2LFjAVT+aiq1wYMHw9nZGZ9//jmUSiWmTJmi95bNVatW4eLFi/joo4+wYcMGdO/eHS4uLrh+/TqOHz+OlJQU3Lp1C/b29lWKQx+5XI7t27djwIABeOGFFzBgwAC0b98eWVlZOH36NPLy8ipMkFYm7tjYWHz44Yfw9/dHy5YtUa9ePVy+fBk//fQTbG1t8c4772jaValUAP6Zb6u2qxu9IPpbYUEe7IuTYY/SVSKspAAghyLvNEpUf1eyvQsbFECep/vtg8GM0Iar5DpKihtVXJGIiIgsTklJCVJTU5GdY9wrAsiyLVmyROfqFLWnnnoKe/bsQWhoKL7//nsoFAoMHDgQS5cuxfDhwx9LfMuXL8eOHTsQERGBa9euoVGjRggPD0doaKhO3XHjxqFDhw74/PPPceDAAfz8889wdnZGs2bN8H//938YPXq0UWLq0aMHkpKSMHfuXMTExCAzMxONGzfG+++/j1mzZplslem5c+eiV69eWLlyJeLi4pCRkYF69erB29sb4eHhWvMuv/POO5DJZPjiiy8QEREBZ2dnvPjii1i8eDFee+21Mo/RrVs3+Pr6IiUlBU2aNNG7+uHDRowYgcmTJ0MqlercrmcoW1tbvPbaa5rbB8tqx83NDUeOHMGXX36Jbdu2YdOmTVCpVGjYsCHat2+PTz/9tEbOTffu3XHy5EksWrQI0dHR2Lt3L1xdXdGmTRvNRPLlqUzcgYGBSEtLw4EDB7Bz507k5OTgiSeeQFBQED766CO0adNG0+7Zs2cBlJ6DukAi9F1vRiaRlZUFZ2dnZGZmGnVCPqVSiV27dmHgwIGQySqYRfIRDx48wKFDh1BcXIy43wpg61D+ainlybqXBhs75xptI/3eLcisraBwKV2Jwkoq4N9CicOXZChRSR5bHIa4nnIM9o4uqNfQt+LKlYxDX7/LUpCbjn5P28LNza3MOjdu3IBMJtNZ4cPcCCGQlZWFnJycWhEvYJznVt1v9cSaNcUcXwfl9d0c4y1LVlYWevToUe7v4cOq875em5lTv2vqM5sqzxzHT8awa28ijh3Wngdl6vRQODrU7C1Gpu53dRUUFODKlSvw9vbWui3GECqVSmuSaUvBfrPfxnL8+HF06dIFwcHB+O6774zatjHU5XM+ffp0fPXVV7h69apOgu5x9NvQ915DP7N5RRURERERkZlJu1m6ylqxVIFiKxdIHZrCwa72JY6IyHL861//AgBMmjTJxJFYnoMHD2LcuHEmu8LP2JioIiIiIiIyU071W+K1V15AAxcrSKU1d9UsEVFVXLt2DZs3b8a5c+ewfft2BAYGonv37qYOy+IkJyebOgSjYqKKiIiIiMhMyWWAV30O2YnIPF2+fBmhoaFQKBQYPHgwvvnmG1OHRHUAP/WIiIiIiIiIqNL69OkDTntNxsZEFRERERGRmSgoKMDdu3ehLMg2dShEREQmwUQVEREREZEZEEJgxZdfoyA386FSzktFRESWhYkqIiIiIiIzUKJSaZJUxVInqKRyNGja2sRRERERPV5MVBERERERmYOHpnl5pt9ouLnYo0sLueniISIiMgEmqogsnVAhIyOj3CoZGRmQyWSwti77LcPFxQVSqdTIwREREVmmHq3lcHe1NXUYREREjx0TVUQWrqggG4kXARu7gjLrZD4ogrWsBA439dcpys/EC10BNze3mgqTiIiIiIiILAATVUQEGztn2Dq4lrk9P78AMmurcusQERERERERVRcTVUREREREJqQsFjh5pQi5BSWmDoWIiMjkmKgiIiIiIjKhg+cLseVgHiBUaPJ3mZVUYtKYiIiITIUzHxMRERERmdC9e/dRL/NnNM7ZqSmztWGiiixHSEgIJBIJ0tLSTB2KUcTExMDf3x+urq6QSCR4+eWXTR0SUa3CRBURERERkQml3zoPu6I0SAtuAQDkcjlkMpmJo6LaKC0tDRKJBBKJBIGBgXrrJCUlQSKRICQk5PEGZyHS0tIwZMgQXL58GWPGjEFYWBhGjBhh6rBMKi4uDq+//jq8vLxgZ2cHBwcHtG7dGhMmTEBycrKpwyMzxFv/iIiIiIhMSAgVAMDezQsv9uuChg0bwtqaw3SqnpiYGOzbtw/PPfecqUOxKHv37kVBQQGWLVuG119/3dThmFR+fj7eeustbN26Ffb29nj++efRsmVLAMAff/yBTZs24ZtvvsF3332H4OBgE0dL5oSfgEREREREJpBXqMLNByXILxIAAJmdC9q0aWPiqKgu8PLywrVr1/Dxxx/j6NGjkEh4K+njcvPmTQBA48aNTRyJ6Y0dOxZbt25FQEAANmzYgAYNGmhtz8jIwKJFi5CRkWGaAMls8dY/IiIiIiITWPB9Fpb8Nxt/3uNqf2RcrVq1QnBwMI4fP47t27cbtI+Pjw+8vLz0buvTp49Osis8PBwSiQTx8fFYt24d2rVrBzs7O3h7e2PlypUAACEEli1bhlatWsHW1ha+vr747rvvyoxBpVLhs88+g6+vL2xtbeHt7Y25c+dCqVTqrX/gwAEMHjwY7u7ukMvl8PX1xaxZs5CXl6dVLz4+HhKJBOHh4Thy5Aj69+8PNzc3uLq6GvTcnD17FsOHD0f9+vUhl8vh7e2NDz74APfv39fUUd92GRYWBgDo27ev5jbM+Pj4Co9RVFSEf//73+jSpQscHR2hUCjQpk0bTJ06Fenp6Zp6+/fvx1tvvYVWrVpBoVBAoVCgc+fO+Oabb/S2K5FI0KdPH9y4cQOjRo1C48aN4ebmpokpJSUFY8aMgbe3N+RyOdzc3NC+fXt88MEHEEIY9Pzos3//fmzZsgUtW7bEDz/8oJOkAgAXFxcsWbIE48ePr/JxqG7iFVVERERERCZwN/PvW/7kEiAPaOBsZeKI6i4hRJnJDjWVSgWlUomioiJIpab5Pl8mkxnt6qe5c+di69atmDVrFl599dUam/ds+fLliI+Px5AhQ/Dcc88hKioK77//Puzt7XHq1ClERUVh0KBB6NevH7Zu3YrRo0fDy8sLvXr10mnrgw8+wOHDhzF8+HAoFAr8/PPPCAsLw2+//Ybvv/9eq+5XX32Fd955By4uLhg8eDDq16+P48ePY8GCBdi/fz/2798PGxsbrX2OHDmChQsXom/fvhg3bhxSU1Mr7N+hQ4cQGBiIoqIiDBs2DF5eXkhMTMSKFSvwv//9D0lJSXB3d4eLiwvCwsIQHx+PhIQETT8BlJkAVMvPz0dAQAAOHz4MX19fjBkzBnK5HCkpKVi9ejVGjRqlSaotWbIEly5dQrdu3fDKK68gIyMDe/bswYQJE3Dx4kUsW7ZMp/379++je/fucHNzQ1BQELKysuDk5ISbN2/Cz88Pubm5ePHFFxEUFITc3FykpKRg1apVWLp0aZVvQ/72228BANOnT4e9vX25deVyeZWOQXUXE1VERERERCbk/6QcyYmAswNvdqgpSqUSixYtMnUYFQoNDdVJrlRVs2bN8N5772Hp0qVYvXo13n33XaO0+6iDBw/i5MmT8PHxAVCamGjRogWmT5+OBg0a4MyZM/Dw8AAAjB49Gt26dcPSpUv1JqqSkpLw66+/okmTJgCABQsWICAgAFFRUYiKisLQoUMBAL///jumTJmCp59+GnFxcahXr56mjcWLFyM0NBRffPEFpk2bptV+bGws1q5dizFjxkClUiErK6vcvqlUKoSEhCAvLw979uzRmqD+o48+wr/+9S98/PHH+Pbbb+Hi4oLw8HCEh4cjISEBISEh6NOnj0HP4aefforDhw8jODgY69atg5XVP0nrzMxMrcdfffUVvL29tfYvLi7GwIEDsWLFCrz//vto1qyZ1vazZ89izJgxWLNmDSQSiSZR9Z///AcZGRlYvnw53n//fa19Hjx4UK258g4fPgwAnCONqoSfhkREREREj0lOgQo7k/KwKSHX1KGQBZgxYwZcXFwwb9485OTk1Mgx3n//fU2SCgCaNm2KHj16IDMzEzNnztQkqQCga9eu8PHxwa+//lpmW+okFQDY2NhgwYIFAID169drylevXo3i4mJ88cUXWkkqoDSB5OHhgS1btui036lTJ4wZM8bgvh0+fBipqal44YUXdFZRnD17Ntzc3LB582YUFRUZ3OajiouL8c0338DZ2RkrVqzQSkoBgLOzMxQKhebxo0kqALC2tsbEiRNRUlKC/fv362y3sbHBZ599ptO2mp2dnU6Zm5tbZbui5fbt2wCgdT6JDMUrqixASUnpvAeXL18u882pLBkZGUhPT/+7DdsaiI6IiIio7hNCoEAJHDhXiN0nCwAAirwTsC+6gt/PMWlV02QyGUJDQ8uto1KpkJ2dDUdHR5Pe+mdMrq6u+OSTT/DJJ59g6dKlCA8PN2r7ANChQwedskaNGpW7LTk5WW9bPXv21Cnr3r07rK2tcerUKU1ZUlISACA6OhpxcXE6+8hkMly4cEGnvEuXLnqPWxb1MfVdGaWeGyomJgYXL15Eu3btKtW22oULF5CdnY3nn3/eoDmzsrOzsXTpUvzwww9ITU1Fbq72+4d6MveHeXt7w93dXad88ODBCA0NxTvvvIO4uDgMGDAAvXv31ko8EpkCE1UW4OrVqwCAOdsyUayq3IduUX4m6qEQJQWZcHB9oibCIyIiIqrzVv6Sg7PX/pkjqZmHFVTnkwChQvbfxY6OjiaKru6TSCQV3lKnUqkgk8lgY2NjskRVTZgyZQq+/PJLLFu2DJMnTzZ6+05OTjpl6lvGytpWXFysty19E25bWVmhXr16yMzM1JQ9ePAAADRXWxlKX/vlUd8aWNZ+6oRcRbcQlkfdryeeqPhvraKiIvTp0wcnT55Ex44dERwcjHr16sHa2hppaWmIjIxEYWGhzn5lxe/l5YWkpCSEh4dj165dmon3n3zyScydOxevvfZalfvVsGFDpKWl4caNG0x8UaUxUWVBnD28UCwqd8oLctMhz7sPJbgaDRFRTVGpVFor+lREPcBPT0+v1vwRVeXi4lKn/ogjqilZeSr873g+cguFVpLKWgoM6GCLXb+XTqY+ePBgODk56b2lh6i67OzsMGfOHIwdOxZz5sxBcHCw3npSqbTMW9geThLVpDt37qBVq1ZaZSUlJbh//75WskWdAMvKyqpUgreyE9Wrj3Pnzh2929W3t+lLyBnKxcUFAHDjxo0K6/744484efIkxo4di4iICK1tW7duRWRkpN79yuv3U089he+//x5KpRInTpzA7t27sXLlSgQFBaFx48bw9/c3vDMP8ff3R1paGuLi4piookpjooqIiMjEcnNzkZCQoPeyfH3Uy0UnJiYabXUoQ+Xk5GDAgAHVnruCyBIcTSnC/rPaVzcsC3GBvVwCaysJdv1d1rJlS605aIiMbfTo0fj888+xZs0adO/eXW8dV1dXnDlzBsXFxVpfgqhXgXscDh48qDPJemJiIoqLi9GxY0dNWdeuXXHy5EkkJSUhICCgxuJRHzM+Ph4fffSR1rbc3FwcP34cdnZ2Osm1ymjVqhWcnJxw7NgxpKenl3v7n3qVwiFDhuhsO3jwYJVjAEpvl+zWrRu6deuGFi1aYNSoUfjf//5X5UTV2LFjsWnTJixbtgxvvvmm3nmw1AoLC7nyH2nh16FERERmQKFQwMnJyeAfAJWqb6wf/jFt2Y4dO4aBAwfCxcUFDg4O6Natm+ZWEUMVFhZi7ty58PX1ha2tLRo3bozx48fj7t27NRT14yGEQOrtYpy5WoR5OzLx8XcZ+OlYPgDAq74VhvvbY/oQRzjZS2Ft9XgTzERWVlZYuHAhlEplmfNUde7cGUqlEps2bdKUCSEQGhqqMw9STVmxYgX+/PNPzeOioiLMnDkTABASEqIpnzx5MqytrfHee+/h2rVrOu1kZGRozWlVVf7+/mjevDl2796NvXv3am2bP38+7t+/j5EjR1ZrpUZra2tMmDABmZmZeP/99zXzC6tlZmZqJsL39PQEABw6dEirTkJCAtasWVPpY584cULvbYvqK8hsbf+Zozg+Ph4SicTglQz79u2LkSNH4uLFi3j11Vf1vsdnZWVhxowZ+OabbyodO9VtvKKKiIiIiCq0f/9+BAYGwtbWFiNGjICjoyOioqIQFBSE69ev6ywDr49KpcKQIUMQHR2Nbt26YejQoUhJSUFERATi4uKQlJSktUJYbXI8tQjfxOj/Y76Tjw0C2nNRGjKtl156CT169NBJcqi98847WL9+Pd5++23ExsbCw8MDBw8eREZGBtq3b1/mSn3G1K1bN7Rv3x5BQUFwcHDAzz//rEl0DB06VFPvqaeewqpVqzBp0iS0atUKAwcORPPmzZGdnY3Lly8jISEBISEh+Prrr6sVj1Qqxfr16xEYGIiBAwfitddeg6enJxITExEfH4/mzZtj8eLF1e025s6di6SkJGzYsAFJSUl44YUXIJfLcfnyZezZsweHDh1Chw4dMHjwYHh5eeGzzz7D2bNn8dRTT+HixYv43//+h1deeQXff/99pY67YcMGrF69Gr169ULz5s3h5OSE33//Hbt27YKbm5vWCokqVemtypWZcuDbb7+FEAJbt26Ft7c3+vfvj5YtW0IIgZSUFMTFxSE7OxsbNmyoVNxU9zFRRURERETlKi4uxrhx4yCVSnHgwAHNSl6zZ8+Gn58fZsyYgWHDhmm+7S9LZGQkoqOjMXLkSGzatElz6+rXX3+NSZMmYdasWVi9enVNd8eo9p0pwLFLRUjPKf0jzkEugbuTFHKZBMO628NGBjR2rdyqy0Q1ZcmSJWXeyvXUU09hz549CA0Nxffffw+FQoGBAwdi6dKlGD58+GOJb/ny5dixYwciIiJw7do1NGrUCOHh4XpXbBw3bhw6dOiAzz//HAcOHMDPP/8MZ2dnNGvWDP/3f/+H0aNHGyWmHj16ICkpCXPnzkVMTAwyMzPRuHFjvP/++5g1a5bBt+2Xx9bWFrGxsfjyyy+xceNGrFmzBlZWVmjWrBkmTpwILy8vAKVXX+/btw8ffvghDhw4gPj4eLRt2xabNm1CgwYNKp2oGjlyJAoKCnD48GEcPXoUhYWFaNKkCSZNmoQPP/wQzZo109Q9e/YsAGDEiBEGt29nZ4ctW7Zg7NixWLt2LY4cOYI9e/YAAJo2bYqgoCCMGzcOfn5+lYqb6j6JUE90QSaXlZUFZ2dnZGZmVmtCvkddvHgRFy5cwJ6b3as0mbpj3gko8+7Dxs4Ztg4VL5lalqx7aTXeRvq9W5BZW0HhUh8AYCUV8G+hxOFLMpSoJI8tDkNcTzkGe0cX1Gvoa/Q49PW7sm087NHn9VEFueno97StyeesEUIgKysLOTk5kMlkqF9ff7zm5MaNG9WOVd1vJyenGp2vyBixGlt5fTfHeMtS2Vgf1znXJysrCz169DDJ77tSqcSuXbswcOBAoy/hXlk19ZltrmJiYhAYGIgxY8Zg7dq1WtsiIyMREhKCOXPmYPbs2eW28+yzzyIxMRFpaWlaSS0hBFq0aIE7d+7gr7/+Kncuk0fV1Lko7/WWXyQQfSofuQUC8ee056B6oaMtXu1uX27b+fn5KCoqwvLlywEA06ZNM5vbas3p96wqCgoKcOXKFXh7e2vdtmQIlUqleW+1pAUj2G/22xDDhg1DcnIyUlNTq3WroynxnNdcvw197zX0M5tXVBERERFRueLj4wEA/fv319kWGBgIoHSOlPIUFBQgOTkZrVq10rnySiKRICAgAKtXr8bx48fRs2dP4wRuBEIIXLlTjJyC0hX80nME0nNVOvVe72mPeo5StG4iQ25uLm7evInc3Fz8/vvvsLW1xZkzZ+Dk5FStZeyJiEzl0KFD+OSTT2ptkopqFyaqiIiIiKhc6hW/fH11rwJu2LAhFApFhauCpaamQqVS6W3j4bZTUlLKTVQVFhaisPCfq5jUiR+lUgmlUll+Ryrh+8Q8HLjZHf+LyCmzjgTAC51s0MRNig7ef9/eJ4qxdu1aPHjwQKf+o0kqKysrNG3aFDY2NkaNvTrUcZhLPJWlVCohhIBKpdLMqWMo9Y0m6v0tBfvNfhvi5s2bAFCrnyue85rrt0qlghACSqUSVlZl3+5u6GcLE1VEREREVK7MzEwAgLOzs97tTk5OmjrVaePhemVZtGgR5syZo1MeExMDe/vyb7mrjMO3uqJYaF854CzLhlSiQlvny5BKVHC0zoPkDnDzDnDz/D/1MjIyAJQmoqytrWFnZwd7e3tIJBI4ODhAKpVCLpdrbt3dvXu30eI2ltjYWFOHUCXW1tZo2LAhcnJyUFRUVKU2srOzjRxV7cB+WxZL7TdguX2vyX4XFRUhPz8fBw4cQHFxcZn18vLyDGqPiSoiIiIiqjVCQ0MxdepUzeOsrCw0bdoU/fv3N+ocVd7XC5GQdBb9ez4FF4UMbgopAMe/tzYpd982bdpACIEmTZrUunmelEolYmNjERAQUOtiB0pvMb1+/ToUCkWl56gSQiA7OxuOjo6Pff4/U2K/2W9LYal9fxz9LigogJ2dHXr16lXhHFWGYKKKiIiIiMqlvgqqrKudsrKy4Opa/gIjhrTxcL2yyOVyyOVynXKZTGbUxErrpsCVM3fg0/CZSrdb1u2NtYmxn8/HpaSkBBKJBFKptNKTBqtviVHvbynYb/bbUlhq3x9Hv6VSKSQSSYWfHYZ+rljO2SEiIiKiKnl4/qhH3b59Gzk5ORUmZ3x8fCCVSsucy6q8ebCIiIjIcjBRRURERETl6t27N4DSeaAeFR0drVWnLHZ2dvDz88PFixdx9epVrW1CCMTGxsLBwQGdO3c2UtRkydSTBxMRUc0z9nsuE1VEREREVK5+/frBx8cHmzdvxunTpzXlmZmZWLhwIWxsbDBq1ChN+a1bt3DhwgWd2/zGjx8PoHSeqYcHtatXr8bly5fxxhtvwM7OrmY7Q3WaerWp2rpqIRFRbaR+zy1vxb/KYKKKiIiIiMplbW2NiIgIqFQq9OrVC+PHj8e0adPQvn17/PHHH1i4cCG8vLw09UNDQ9G6dWv897//1Wpn9OjRCAwMxJYtW/Dss8/ik08+wbBhwzB58mR4e3tj/vz5j7lnVNfIZDLI5XJkZmbyqioiosdACIHMzEzI5XKjzW3IydSJiIiIqEJ9+/bFoUOHEBYWhm3btkGpVKJdu3ZYsmQJgoKCDGpDKpXixx9/xOLFi7Fhwwb8+9//hpubG8aOHYv58+fDw8OjhntBlsDd3R03btzAn3/+CWdnZ8hkMoNWulKpVCgqKkJBQYHFTbTMfrPflsBS+15T/RZCQKlUIjMzEzk5OXjiiSeM1jYTVURERERkED8/P+zevbvCeuvXr8f69ev1bpPL5QgLC0NYWJiRoyMq5eTkBAC4d+8ebty4YfB+Qgjk5+fDzs7O4pauZ7/Zb0tgqX2v6X7L5XI88cQTmvdeY2CiioiqT6iQkZFR7WZcXFws6tsNotpIpVIhPT3dJMcuLi4GAKSnp8Pa2vAhDN9biCyPk5MTnJycoFQqUVJSYtA+SqUSBw4cQK9evYx2+0ptwH6z35bCUvtek/22srKqkeeSiSoiqraigmwkXgRs7Aqq3kZ+Jl7oCri5uRkxMiIyttzcXCQkJMDd3f2xH1s930xiYqLB3wjm5ORgwIABfG8hslAymczgP6KsrKxQXFwMW1tbi/ojlv1mvy2Fpfa9NvabiSoiMgobO2fYOriaOgwiegwUCoVRL+82lBACWVlZcHJysqhL9omIiIgsidleB3/s2DEMHDgQLi4ucHBwQLdu3bB9+/ZKtVFYWIi5c+fC19cXtra2aNy4McaPH4+7d++Wuc+mTZvg5+cHBwcHuLq6YtCgQTh58mSNxklERERERERERGZ6RdX+/fsRGBgIW1tbjBgxAo6OjoiKikJQUBCuX7+OadOmVdiGSqXCkCFDEB0djW7dumHo0KFISUlBREQE4uLikJSUpLOyzIIFCzBr1ix4enpi4sSJyM7OxtatW/Hss88iLi4O/v7+Ro+TiIiIiIiIiIhKmV2iqri4GOPGjYNUKsWBAwfQoUMHAMDs2bPh5+eHGTNmYNiwYfD09Cy3ncjISERHR2PkyJHYtGmT5haBr7/+GpMmTcKsWbOwevVqTf2UlBSEh4ejZcuWOHr0KJydnQEAkydPRrdu3TBu3DicPXtWMxmrseIkIiIiIiIiIqJSZnfr3759+5CamorXX39dk/wBAGdnZ8yYMQNFRUWIjIyssJ01a9YAABYtWqQ1j8WECRPg4+ODTZs2IT8/X1O+bt06FBcXY+bMmZokFQB06NABI0eOxPnz53Ho0CGjx0lERERERERERKXMLlEVHx8PAOjfv7/OtsDAQABAQkJCuW0UFBQgOTkZrVq10rmiSSKRICAgALm5uTh+/HiVj2uMOImIiIiIiIiI6B9md+tfSkoKAMDX11dnW8OGDaFQKDR1ypKamgqVSqW3jYfbTklJQc+ePTX/VygUaNiwYbn1jRlnYWEhCgsLNY8zMzMBAA8ePIBSqSx338rIzMxEXl4e0m+cQYmqcqskKQuzUVJwBSVFWbCWpcPG7l6V48jLulPjbeRk3YeVlTWKCkqfS2srCfIauyP9zj0Ul4jHFoch8jPvQCjzUJ11q8qKQ1+/K9vGwx59XqvSRkWK8nNw966b1u9EVT148ABWVlYoKSmpdls17f79+7C2tjZKrHl5eUaIqGzGjNXY9PXdnON9VFVjrelzro85PK+V6Xdubi7S09MhRPnvhZWVnZ0NAEZvlypPfQ6ysrKM2q5SqUReXh6ysrJqzXLexmCp/QYst+/sN/ttKSy17+bUb/VndUXjJ7NLVKmTNQ/ffvcwJycnTZ3qtPFwPfX/69evX6n61Y1z0aJFmDNnjk65t7d3uftR5USYOgATqY393mzqAIiIKik7O7vMsQA9HuqkYdOmTU0cCRERERmiovGT2SWqLEloaCimTp2qeaxSqfDgwQPUq1dPa16t6srKykLTpk1x/fp1TdLNUlhq39lv9ttSWGrf2W/T91sIgezsbDRu3NikcRDQuHFjXL9+HY6Ojhw/GYGl9huw3L6z3+y3pbDUvptTvw0dP5ldokqdVSvraqSsrCy4urpWu42H66n/X9n61Y1TLpdDLpdrlbm4uJS7T3U4OTmZ/IVpKpbad/bbslhqvwHL7Tv7bVq8kso8SKVSNGnSpMbaN5fX2+Nmqf0GLLfv7LdlsdR+A5bbd3PptyHjJ7ObTF3ffFBqt2/fRk5OTplzT6n5+PhAKpWWOUeUvvmlfH19kZOTg9u3bxtcv7pxEhERERERERHRP8wuUdW7d28AQExMjM626OhorTplsbOzg5+fHy5evIirV69qbRNCIDY2Fg4ODujcuXOVj2uMOImIiIiIiIiI6B9ml6jq168ffHx8sHnzZpw+fVpTnpmZiYULF8LGxgajRo3SlN+6dQsXLlzQuQVv/PjxAErngXp4RvnVq1fj8uXLeOONN2BnZ6cpHzNmDKytrbFgwQKttk6fPo0tW7agdevW6NGjR5XjNCW5XI6wsDCd2wwtgaX2nf1mvy2Fpfad/basfpNpWOrrzVL7DVhu39lv9ttSWGrfa2O/JcIM11Xev38/AgMDYWtrixEjRsDR0RFRUVG4evUqli5dimnTpmnqhoSEIDIyEuvWrUNISIimXKVSYeDAgYiOjka3bt3Qu3dvXLp0CTt37oSXlxeSk5Ph4eGhddwFCxZg1qxZ8PT0xNChQ5GdnY2tW7eiqKgIcXFx8Pf3r3KcRERERERERERUPrNMVAHA0aNHERYWhiNHjkCpVKJdu3aYOnUqgoKCtOqVlagCgMLCQixevBgbNmzA9evX4ebmhkGDBmH+/Plo0KCB3uNu2rQJy5cvx7lz52BjYwN/f3/MmzcPnTp1qlacRERERERERERUPrNNVBERERERERERkWUxuzmqiIiIiIiIiIjIMjFRRUREREREREREZoGJqjrs2LFjGDhwIFxcXODg4IBu3bph+/btpg7LKG7cuIHly5ejf//+aNasGWxsbNCwYUMMHToUycnJOvXDw8MhkUjK/ElLS3v8nagiLy+vMvvRp08fnfqFhYWYO3cufH19YWtri8aNG2P8+PG4e/fu4w++itavX1/u+ZNIJOjXr5+mfm083xs3bsSECRPQuXNnyOVySCQSrF+/vsz6WVlZmDp1Kjw9PSGXy+Hl5YUPP/wQOTk5euurVCp88cUXaNeuHezs7ODh4YGRI0fi8uXLNdQjwxjab6VSiaioKIwePRqtW7eGQqGAo6Mjunbtiq+++golJSU6+6SlpZX7OggPD6/5DpajMue8qq/p6Oho9O7dG46OjnByckLfvn0RFxdXc50yQGX6XdHvvUQiwfXr1zX1zf2cU+1QV8dPljx2Ajh+4vipFMdPtXv8ZKljJ8Dyxk/Wj/2I9FiUtSJhUFAQrl+/XutXJPziiy+wZMkSNG/eHP3794eHhwdSUlLwww8/4IcffsDmzZv1Tmg/evRoeHl56ZS7uLjUfNBG5OzsjA8++ECn/NG+qVQqDBkyRLP65dChQ5GSkoKIiAjExcUhKSlJZ/VLc9ShQweEhYXp3fb999/j3LlzCAwM1NlWm873rFmzcPXqVbi7u6NRo0a4evVqmXVzc3PRu3dvnD59Gv3798fIkSNx6tQpLF26FAkJCThw4ABsbW219pkwYQIiIiLQtm1bTJkyBTdv3sT27dsRExODpKQk+Pr61nQX9TK036mpqRg2bBgUCgX69euHl156CZmZmfj5558xefJk7Nq1Cz/99BMkEonOvu3bt8fLL7+sU67vD5PHqTLnXK0yr+mNGzciODgYHh4emsVGtm3bhoCAAGzfvh3Dhg2rZg+qpjL9Luv3/tKlS9i0aRPatGmDpk2b6mw313NO5q8uj58sfewEcPz0MI6fOH6qjeMnSx07ARY4fhJU5yiVStG8eXMhl8vFqVOnNOUZGRmiZcuWwsbGRqSlpZkuQCOIiooS8fHxOuUHDhwQMplMuLq6ioKCAk15WFiYACD279//GKOsGZ6ensLT09OgumvXrhUAxMiRI4VKpdKUf/XVVwKAGD9+fA1F+XgUFhaKevXqCWtra3H79m1NeW0837GxsZrfy0WLFgkAYt26dXrrzp49WwAQH3/8sVb5xx9/LACIhQsXapXv27dPABC9evUShYWFmvJdu3YJAKJ///7G7UwlGNrvP//8U/znP/8ROTk5WuU5OTmic+fOAoDYvn271rYrV64IAGL06NE1FX61VOacV/Y1/eDBA+Hi4iLc3d3F9evXNeXXr18X7u7uwt3dXWRlZVW3C1VSmX6X5d133xUAxLJly7TKzf2ck3mr6+MnSx47CcHx08M4fuL4qbaOnyx17CSE5Y2feOtfHbRv3z6kpqbi9ddfR4cOHTTlzs7OmDFjBoqKihAZGWm6AI3g1VdfRe/evXXKe/bsib59+yI9PR1nzpwxQWTmZc2aNQCARYsWaX1TMmHCBPj4+GDTpk3Iz883VXjV9sMPP+D+/fsYNGgQGjRoYOpwquX555+Hp6dnhfWEEIiIiIBCocCnn36qte3TTz+FQqFARESEVrn6dTBv3jzY2Nhoyl944QX06dMHMTExuHbtmhF6UXmG9vuJJ57A5MmT4eDgoFXu4OCAqVOnAgASEhJqJMaaYmjfq2LHjh3IyMjAe++9hyZNmmjKmzRpgnfffRf37t3Df//73xo5dkWq2++CggJs2rQJNjY2CA4ONmJkZOnq+viJYyfDcfxUe3D8VL66Nn6y1LETYHnjJ976VwfFx8cDAPr376+zTX15b216Q6osmUwGALC21n15HzhwAMnJyZBKpfD19cXzzz8PhULxuEOstsLCQqxfvx43b96Ek5MTunTpgq5du2rVKSgoQHJyMlq1aqXzpiaRSBAQEIDVq1fj+PHj6Nmz5+MM32jUA4q3335b7/a6cr4flpKSgps3byIwMFDvoMPf3x/R0dG4fv265pLe+Ph4zbZHBQYGIj4+HgkJCbXiQ0uf8n7nAeDmzZv4z3/+g8zMTDRo0AB9+vRB8+bNH2eIRmPoa7qiz4Hw8HAkJCRg1KhRNR2y0e3cuRPp6ekYNmxYmbfe1KVzTo+PJY+fLGHsBHD8pMbxE8dPgOWMnzh2KlXbxk9MVNVBKSkpAKD3numGDRtCoVBo6tQ1165dw969e9GoUSO0a9dOZ/uj9+u6uLhgxYoVte4N5/bt2xgzZoxWWZcuXbBlyxbNm0lqaipUKlWZ986ry1NSUmrlQOvq1auIi4tDkyZNMGDAAL116sr5flh5v9/q8ujoaKSkpKBp06bIzc3FrVu38NRTT8HKykpv/YfbrY3Wrl0LQP/AAgBiY2MRGxureSyRSPDGG2/g66+/1hmsmjtDX9PlvU5q+zn/9ttvAZT9BxZQt845PT6WOn6ylLETwPETwPETx0//sJTxE8dOpWrb+Im3/tVBmZmZAEovVdfHyclJU6cuUSqVCA4ORmFhIZYsWaL1odK+fXusXbsWly9fRn5+Pq5cuYIvvvgCEokEISEh+Omnn0wYeeWMGTMGcXFxuHPnDnJzc3Hq1CkEBwfj2LFj6NevH7KzswEY9jp4uF5ts27dOqhUKoSEhOgMIOrS+X5UZc9rXX8dfPPNN9i9ezeee+45DBw4UGubvb09Pv30U5w4cQIZGRl48OAB9u7dCz8/P2zcuLFWDbgr+5ou77zX5nN+5coV7N+/H82aNUNAQIDO9rp0zunxs8Txk6WMnQCOn9Q4fuL4CbCM8RPHTv+ojeMnXlFFdYL6A/fAgQMYN26cziW4r7zyitZjLy8vvPvuu2jdujUCAgIwa9YsvPTSS48z5Cp79FuBDh064LvvvgMAbNiwAWvWrNHcc15XqVQqrFu3DhKJBG+99ZbO9rp0vqls//vf//Duu+/C09MTGzdu1Nlev359zJ07V6usX79+6N69Ozp16oSdO3fi5MmT6NSp0+MKucr4mi61du1aCCEwZswYSKW637XVpXNOVNMsaewEcPwEcPxEpSxl/MTX8z9q4/iJV1TVQeoscFkZ36ysrDK/HaiNVCoV3nrrLWzevBlvvvkmvv76a4P37devH5o3b44zZ84gKyurBqOseRMmTAAAHD58GIBhr4OH69Ume/fuxbVr1/Dcc8/B29vb4P3qwvmu7Hmtq6+DXbt2YdiwYWjQoAH27duHRo0aGbyvvb295g8y9e9LbVXWa7q8815bz7lKpcL69eshlUr1/oFVnrp0zqnmWNL4iWOnf3D8VLG6cM45firF8ZNljZ2A2jt+YqKqDirvHtrbt28jJyenzPuzaxuVSoUxY8YgMjISI0eO1PwSVoa7uzsAIC8vryZCfGzU/cjNzQUA+Pj4QCqVlnkvdUX36puziiYBLU9tP98V3SP/6Hl1cHBAo0aNcOXKFZSUlFRYvzb45Zdf8Oqrr8Ld3R379++Hj49Ppdt49PelNtP3mi7vdVIbzzkA7NmzB3/++ScCAgLQrFmzSu9fl8451QxLGT9x7KSN4yfD1PZzzvETx08Ps5SxE1B7x09MVNVB6qWHY2JidLZFR0dr1anN1AOt7777DkFBQdiwYYPeyQ7Lk5ubi3PnzsHBwUHzS1hbJScnAyi9rBUA7Ozs4Ofnh4sXL+Lq1atadYUQiI2NhYODAzp37vy4Q62W+/fv48cff4Sbm5vOJb0VqQvn29fXF40bN8bhw4d1PjByc3Nx+PBheHt7a1asAUp/39XbHqV+T+jVq1fNBm4kv/zyC4YOHQo3Nzfs378fLVq0qFI7j/6+1FZlvabr4ueAIZOAlqeunHOqOXXx9+ZRHDvp4vipYnXhnHP8xPGTmiWNnYBaPH4SVOcolUrh4+Mj5HK5OHXqlKY8IyNDtGzZUtjY2IgrV66YLD5jKCkpEaNHjxYAxGuvvSaUSmWZdbOyssTFixd1yvPy8sTIkSMFADFmzJiaDNdozp8/L3Jzc/WWN2zYUAAQCQkJmvK1a9cKAGLkyJFCpVJpyr/66isBQIwfP/6xxG1M//73vwUAMWXKFL3b68L5XrRokQAg1q1bp3f77NmzBQDx8ccfa5V//PHHAoBYuHChVvm+ffsEANGrVy9RWFioKd+1a5cAIPr372/0PlRFRf3etWuXkMvlomHDhuLChQsVtnfy5Emt171aVFSUkEqlwtXVVWRkZFQ3bKMor+9VeU0/ePBAODs7C3d3d3H9+nVN+fXr14W7u7twd3cXWVlZRu9HZVV0ztXu3r0rZDKZ8PDw0HoNP6o2nXMyP3V9/GSpYychOH4SguMnITh+qmvjJ0sdOwlhGeMniRBC1Hw6jB63/fv3IzAwELa2thgxYgQcHR0RFRWFq1evYunSpZg2bZqpQ6yW8PBwzJkzBwqFAu+//z6srXXXBXj55ZfRoUMHpKWlwcfHB126dEHr1q3RsGFD3LlzB3v37sWff/6Jdu3aYf/+/ahXr54JelI54eHh+Pzzz9GrVy94enrCwcEBf/zxB3bt2gWlUonQ0FAsXLhQU1+lUmHgwIGIjo5Gt27d0Lt3b1y6dAk7d+6El5cXkpOT4eHhYcIeVV67du1w9uxZ/Pbbb3qX0a6t5zsiIgKHDh0CAJw5cwYnT56Ev7+/5huvHj16aL4Jyc3Nhb+/P3799Vf0798fnTp1wsmTJxETE4MuXbogISEBdnZ2Wu2PGzcOERERaNu2LV588UXcunUL27Ztg0KhQGJiIlq2bPl4O/w3Q/t94cIFdOjQAYWFhRgxYgRatWql05aXlxdCQkI0j/v06YPU1FR0794dTZo0QUlJCU6ePIlDhw5BLpdj+/btJp1E09C+V/U1vXHjRgQHB8PDwwNBQUEAgG3btuHevXvYtm0bXnvttcfb4b9V5rWutmzZMkyfPh1Tp07FsmXLymzb3M85mb+6PH6y1LETwPETwPETwPFTXRg/WerYCbDA8dNjTYvRY5WcnCwGDBggnJychJ2dnfDz8xNbt241dVhGof5GsLwfdYY5MzNTvPPOO6JLly7Cw8NDWFtbC0dHR+Hn5yc+++wzkZeXZ9rOVEJ8fLwYPny48PX1FU5OTsLa2lo0bNhQDBkyRERHR+vdp6CgQISHh4vmzZsLGxsb0bBhQ/H222+L27dvP+boqy85OVkAEH5+fmXWqa3nu6LX9OjRo7XqZ2RkiA8++EA0bdpUyGQy0axZMzFt2rQyv+kpKSkRK1asEG3bthVyuVzUq1dPBAUFiUuXLj2G3pXN0H7v37+/wt/53r17a7W9Zs0aMWDAANG0aVNhZ2cn5HK58PHxEW+//bY4f/784+/sIwzte3Ve07t37xY9e/YUDg4OQqFQiN69e4vY2NjH1EP9KvtaF0KI1q1bCwDi999/L7dtcz/nVDvU1fGTpY6dhOD4ieOnf3D8VLvHT5Y6dhLC8sZPvKKKiIiIiIiIiIjMAidTJyIiIiIiIiIis8BEFRERERERERERmQUmqoiIiIiIiIiIyCwwUUVERERERERERGaBiSoiIiIiIiIiIjILTFQREREREREREZFZYKKKiIiIiIiIiIjMAhNVRERERERERERkFpioIiIiIiIiIiIis8BEFRGZDS8vL3h5eZk6DLNnjOcpJCQEEokEaWlpBtVPS0uDRCJBSEhItY5bkZs3b8LBwQELFy6sdluzZs2Co6Mj7ty5Y4TIiIiIzBPHT4bh+MkwHD+ROWCiiqiOUn8wPvwjk8nwxBNPYPjw4Th+/LipQyTSMXPmTNjb22PKlCmaspMnT0Imk6FVq1bIz8/Xu9/AgQMhkUiwceNGTdm0adMglUoRFhZW43ETEVHdwPET1UYcP1Fdw0QVUR3XvHlzhIWFISwsDB988AFatWqFHTt24Nlnn8WBAwdMHR5VQVxcHOLi4kwdhtGlpKTgu+++w6RJk6BQKDTlnTp1wsyZM/HHH38gNDRUZ79vvvkGu3fvxiuvvII333xTU+7q6oq3334bERERuHr16mPpAxER1Q0cP9U9HD9p4/iJzBkTVUR1XIsWLRAeHo7w8HD861//wr59+7Bo0SIolUp8+umnpg6PqqB58+Zo3ry5qcMwum+++QYqlQrBwcE622bOnImOHTti5cqVSEhI0JRfuXIF06ZNg4eHB1avXq2z35tvvomSkhJERETUaOxERFS3cPxU93D8xPET1R5MVBFZoLFjxwIATpw4obNt7dq1GDJkCLy8vGBraws3NzcEBgZi//79OnXj4+MhkUgQHh6O48ePIyAgAI6OjnB2dsYrr7xS5v37P/74I7p06QI7Ozs0aNAA48aNQ3p6epnx3rt3Dx988AG8vb0hl8tRv359DB8+HGfPntWpq5474PLly1i6dClatmwJOzs7tGnTBlu3bgUAFBUVYebMmZo+Pv3009i9e7chTx3mzZsHiUSC7777Tu/2nTt3QiKRYObMmZqy//73vxg5ciRatGgBe3t7ODs7o2fPnoiKitLZ/+G5DM6fP49XXnkF9erV05oPQd8cCzdv3kRYWBi6deuG+vXrQy6Xw8vLC5MnT8bdu3fL7I9KpcJnn30GX19f2NrawtvbG3PnzoVSqTTo+QCA7OxshIWFoW3btrCzs4OLiwsCAwNx6NAhg9tQqVSIjIxEhw4d4Ovrq7NdJpPhu+++g0wmw5gxY5CTkwOVSoWQkBDk5ORg9erV8PDw0NmvY8eOaNGiBdavX29wLERERPpw/MTxkxrHT0Q1TBBRnXTlyhUBQAQGBupsu3v3rgAgnJ2ddbbZ2tqKrl27irFjx4pPPvlEBAcHC0dHRyGVSsUPP/ygVXf//v0CgBg4cKCws7MTAwcOFNOmTRPPPfecACCaN28u8vPztfaJjIwUAISTk5MYN26c+PDDD0Xr1q1Fp06dRKNGjYSnp6dOrM2bNxcARJ8+fcQnn3wigoKChJWVlbC3txcHDx7Uqj969GgBQAwZMkQ0bNhQjBs3TkycOFG4uLgIiUQi9uzZI1588UXh7e0tJk+eLN566y1ha2srZDKZuHTpUoXP6+XLl4VEIhEBAQF6t7/88ssCgDh//rymrFWrVqJdu3Zi9OjR4pNPPhFjx44VHh4eAoBYuXKl1v7q8+bv7y+cnJyEv7+/mDp1qhg9erS4ceOGEEIIT09Pnedpy5YtwsHBQbz00ktiypQpWufBx8dHZGRk6H2eBg8eLNzc3MTEiRPF9OnTRatWrQQAMXToUL1xjR49Wqv8/v37om3btpqYP/jgA/HWW2+JevXqCWtra/Hf//63wudUCCFOnz4tAIiJEyeWW2/RokUCgBg/frxYtmyZACCCg4PL3Sc4OFgAEBcvXjQoFiIislwcP3H8xPFTKY6fyJSYqCKqo8obaC1cuFAAEC+++KLOtsuXL+uU3bx5UzRu3Fj4+vpqlasHWgDE1q1btbapP9y2bNmiKcvMzBROTk7CwcFB60OvqKhI9OrVSwDQGUCMGTNGABChoaFa5b/88osAIFq0aCFKSko05eoBRMuWLcXdu3c15cnJyQKAcHFxET169BA5OTmabdu2bRMAxHvvvafTd3169OghrKysxM2bN7XK79+/L2xsbETnzp21ylNTU3XayM7OFu3atRPOzs4iNzdXU64+bwDE7Nmz9R5f30Drzp07Ijs7W6euemA7f/58rXL18+Th4SGuX7+uKS8sLNSci++//14nrkcHWq+//roAINasWaMTT9OmTYWHh4fOYFuf//znP3rbeVRxcbHo2rWrACBsbGxEkyZNRHp6ern7rFixQgAQa9eurTAOIiKybBw/cfwkBMdPQnD8RKbFRBVRHaX+YGzevLkICwsTYWFhYvr06aJv374CgGjQoIH4/fffDW7vvffeEwBEWlqapkw90OrVq5dOffW2qVOnasrUH/r6BjQHDx7UGWgVFhYKW1tbUa9ePa3BiFpAQIAAIA4cOKApUw8gIiMjder7+PgIACIhIUGrvLi4WMhkMr390Gf16tUCgFi2bJlW+apVqwQAsXz5coPaUX+jFR8frylTn7eGDRuKwsJCvfvpG2iVRaVSCScnJ9GnTx+tcvXz9OgATIh/zsWgQYN04np4oPXXX38JKysr8dxzz+k99sqVKwUA8fPPP1cYZ2hoqAAgfvrppwrr7t27VzMYfXgwWJatW7cKAGLu3LkV1iUiIsvG8RPHT0Jw/CQEx09kWtYgojotNTUVc+bM0Spr2LAhDh48iBYtWujUv3z5MhYtWoR9+/bhxo0bKCws1Np+8+ZNeHp6apU988wzOu00adIEAJCRkaEp+/XXXwEAPXv21KnfvXt3WFtrvyVduHABBQUF6Nu3L+zt7XX26du3L2JjY3H69GmdNjt06KBTv1GjRrh8+bLONisrK9SvXx83b97U2Uef4cOHY8qUKdiwYQOmTp2qKd+4cSOsra0xcuRIrfp3797F4sWLsXv3bly9elVniWB9x23fvj1sbGwMikdt586dWL16NU6ePIn09HSUlJSUewyg/HNx6tSpco937NgxlJSUoLCwEOHh4TrbU1JSAJSex0GDBpXb1v379wEALi4u5dYTQmD+/Pmaxzt37sTQoUPL3cfNzQ1A6VwdREREhuD46R8cP+ni+ImoZjFRRVTHBQYGYs+ePQCAv/76C5GRkfj444/x0ksv4ejRo1rL2F66dAl+fn7IyspC3759MXjwYDg5OUEqlSI+Ph4JCQk6Ay8AcHJy0ilTD5oe/rDPzMwEANSvX1+nvpWVFerVq6dVlpWVBQBo0KCB3r41atRIq56hMZW1zdAJMF1cXDBo0CBERUXh999/R5s2bZCamoojR45g4MCBWv178OABunTpgmvXrsHf3x/PP/88XFxcYGVlhdOnT+PHH3/U+5yW1eeyLFu2DNOnT4eHhwf69++PJk2awM7ODgCwfPlyvcco6zjqc6E+X2V58OABAODw4cM4fPhwmfVyc3MrjF8da0FBQbn1Vq5cifj4eAQHB+PatWvYvHkzXnvtNbz88stl7qMe2OobrBMREenD8ZNuTBw/lX8cjp+IjIeJKiIL4uHhgenTpyMzMxPz58/HrFmzsHz5cs32f//730hPT8eGDRvw5ptvau07ceJErWVtq8LZ2RkA9K6iUlJSgvv37+OJJ57QlKkHRHfu3NHb3u3bt7XqPU7BwcGIiorChg0bsGjRImzcuFFT/rBvv/0W165dw7x58zBr1iytbYsXL8aPP/6ot32JRGJwLMXFxZg3bx4aNWqE06dPaw30hBD47LPPytz3zp07aNWqlVaZ+lxUNNhTP+/Tpk3D0qVLDY5XH/WKM+rBmz5//PEHQkND0aRJE3zxxRe4f/8+nn76aUycOBE9e/bUGairqdvUt6oNERFRRTh+Mh6Onzh+IjKE1NQBENHjN2PGDDRu3BirVq3SWgI5NTUVADBkyBCt+kKIcr/xMVT79u0BAAcPHtTZlpiYiOLiYq2yJ598Era2tjh27Bjy8vJ09omPjweg/zL1mjZw4EDUq1cPmzdvhkqlwqZNm+Do6Kjz3JX1nAL6n4equHfvHjIzM9G9e3edb1uPHz+uc6l8RTGoz0XHjh3LPW6XLl0gkUiQmJhYtcAf0q5dOwDAxYsX9W4vKSnB6NGjkZ+fj4iICDg7O8PHxwdLlizBnTt38O6775bZtrpN9TGIiIiqguOn6uP4ieMnIkMwUUVkgezs7PDxxx9DqVRi3rx5mnL13AmHDh3Sqr948WKcPXu22scdMmQInJycsHbtWvzxxx+acqVSqfNtGQDY2Nhg5MiRuHfvHhYtWqS1bc+ePYiOjkaLFi3g7+9f7dgqSyaTISgoCNeuXcNnn32GlJQUDB06VHMJtlpZz+nmzZuxa9cuo8RSv3592NnZ4eTJk1oD0vT0dLz33nvl7rtixQr8+eefmsdFRUWYOXMmACAkJKTcfRs2bIjhw4fjyJEj+Ne//gUhhE6d5ORkvYPkR/Xs2RNSqRTJycl6t3/22WdISkrC+PHjERgYqCmfPHkynnvuOWzduhU7d+7Uu29ycjKsra3x7LPPVhgHERFRWTh+qj6Onzh+IjKI6eZxJ6KaVN7yykIIkZ+fLxo3biysra3FpUuXhBBCnDx5UshkMmFnZydGjx4tpk6dKp599llha2srXnzxRQFA7N+/X9OGemWasLCwMo//6HK869evFwCEk5OTGD9+vPjwww9F69atRadOnUSjRo10VmO5e/euZrWZ5557ToSGhoqRI0cKa2trYW9vLw4ePKhVX70ay5UrV3Ri6t27tyjrba8yK8GoJSYmCgBCJpMJACIuLk6nzvXr14Wzs7OwsrISr732mpg+fboICAgQUqlUvPrqqwKAWLdunaZ+Wc9bRbFOmzZNs9z0//3f/4mxY8eKxo0bi+7du4vGjRvr1Fc/T4MHDxZubm5i0qRJYvr06aJVq1YCgHj11Ve16pcV1/3790WHDh0EANGuXTsxfvx48dFHH4mRI0cKX19fAUDcunXLkKdT9O3bVzg5Oeksx/zbb78JGxsb4e3trXcJ6StXrgiFQiHq168v/vrrL61t2dnZws7OTrzwwgsGxUBERJaN46crOjFx/PQPjp+IHg9eUUVkoWxtbREaGori4mLNqjYdO3ZETEwMOnXqhJ07d2Lt2rVwcXHB4cOH0blzZ6Mcd/To0fjvf/8LX19fREZGIjIyEv7+/ti7d6/eVVo8PDyQnJyMKVOmIDU1FUuXLkVsbCxefvllJCcno0ePHkaJqyq6desGX19fKJVKNGnSBH369NGp06RJEyQkJKBfv37Yu3cvVq9ejaKiIsTExGDw4MFGi2XRokVYsGABJBIJVq1ahdjYWIwcORIxMTGQyWRl7rd8+XJ89NFHiI2NxcqVK1FQUIDw8HBs2bLFoOO6ubnhyJEj+Oyzz2BjY4NNmzbhiy++QFJSEtq2bYvvvvsO7u7uBrU1ceJEZGVl4aefftKUKZVKjBo1CkqlEmvXrtWavFbNy8sLy5Ytw927dzF58mStbVFRUcjPz8eECRMMioGIiKg8HD9VH8dPHD8RVUQihJ5rDYmIiB4zpVKJVq1aoXnz5oiNjTVKmz179sSdO3dw/vx5WFlZGaVNIiIiInPB8RPVRbyiioiIzIJMJsOiRYuwd+9eHDlypNrtxcXF4dChQ1iyZAkHWURERFQncfxEdZG1qQMgIiJSU0+wev/+/Wq3lZmZiaVLl+KVV14xQmRERERE5onjJ6preOsfERERERERERGZBd76R0REREREREREZoGJKiIiIiIiIiIiMgtMVBERERERERERkVlgooqIiIiIiIiIiMwCE1VERERERERERGQWmKgiIiIiIiIiIiKzwEQVERERERERERGZBSaqiIiIiIiIiIjILDBRRUREREREREREZuH/AdWRzV5CARdVAAAAAElFTkSuQmCC",
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3KqjKY09LS4OdnR3q1atX6g9nCoUCMpkMVlZWEAqNbmm6CmOq4wZMd+wcN8etTzY2NsjLy0NKSgpq1KhR7O/cqvpvSnls2LABR48exblz53DlyhXk5eVh3bp1GDt2bJniKBQK/PDDD/jpp58QGxsLW1tb+Pr6Yv78+SXu9kxERESmweiucItbTyo1NRXJycklXsjY2NjA1dUVcXFxkMvlhY6XtN7Uf6kWdlct/l5Snrqcg0gbmUyG3Nxc2Nvbm9TsCSIiQ5FIJJDL5VqvH0zdrFmz8NNPP+HevXtwdXXVOc57772HoKAgyOVyBAUFoX///ti5cyfat2+P69ev6zFjIiIiqqqMrljVvXt3AAXrNv2Xqk3Vp6Q4WVlZOH78eKFj+/fvL3UcAHj8+DEAaNwC2LhxY9SpUwfHjx9HVlaWRv+cnBxER0ejTp06aNSoUanOQaSN6sOSKX6DT0RkCKp/60uzmYWpCQsLQ3x8PJ4+fYr33ntPpxiHDx/GmjVr0LVrV5w/fx6LFy/G+vXrsXv3bkilUvUMdiIiIjJtRles6tWrFzw9PbFx40ZcvHhR3Z6RkYG5c+dCLBZrTDdPTk5GTEwMkpOTNeJMnDgRQMG3gHl5eer2gwcPYv/+/ejWrRuaNGmibr948aLWW/pSUlIwc+ZMAEC/fv3U7QKBAIGBgcjMzMScOXM0nrNw4UKkpqYiMDCQs2FIL/hzRERUOfj7tmi9e/dGgwYNyhVjzZo1AIB58+ZpLIXQq1cv+Pv7Izo6Grdu3SrXOYiIiKjqM7o1q8RiMcLCwuDv74+uXbti+PDhkEgk2L59O+Li4jBv3jyNItPKlSsRGhqK4OBghISEqNt9fX0RGBiIsLAweHt7Y8CAAXjy5Am2bNkCiUSCVatWaZw3PDwcYWFh8PX1RYMGDWBjY4N79+5h9+7dyMzMxJtvvom3335b4znTp0/Hzp07sXjxYly4cAFt27bFpUuXsHfvXrRp0wbTp0+v0NeKiIiIqCqJioqCjY0NOnfuXOiYv78/9u3bhyNHjmhc6xEREZHpMbpiFVBQaDp27BiCg4OxdetW5OXloUWLFpg7dy5GjBhR6jirV69G69atsXr1aixfvhy2trYYOHAg5s+fX+gi6K233kJ6ejpOnTqF6OhoZGdnw8nJCV26dMHo0aMxbNiwQt+22tjYICoqCqGhodi2bRuioqLg4uKCKVOmIDg4GDY2Nnp5PYiIiIiquqysLCQkJKBly5YQiUSFjpe0HqhKbm4ucnNz1Y9Vm9rIZDLIZDK95auKpc+YVYWpjt0Yx52Xr8SDZwrI5UrcSpDDXARcfSCHhRlw7UHBchE9W5rhrU6WOp/DGMddGUx13IDpjp3jLn7cT548wd27d3H16lU8ffoUHTt2RM+ePSskl9IwymIVAPj4+GDv3r0l9gsJCdGYUfUioVCIoKAgBAUFlRinS5cu6NKlS1nThL29PZYuXYqlS5eW+blkGHK5HHFxceWO4+HhofVim4iIiApTLbdQ1E7JEolEo19RFi5ciNDQ0ELtERERsLa2LmeWhUVGRuo9ZlVhqmOvyHGn59kgR2GOHLkFFEoB5EoR7me5wFKUp7V/Sl7xu6ADwJ24+9iTervcufH9Nj2mOnZTGLdSqcTz58+Rn5+P7OxsKBQKrF27FhkZGTA3N0dWVhbMzMyKLR7dunULOTk5es0rOzu71H2NtlhFVFHi4uIwefkV2Dq56RwjM+UBlk+GQRfQL67oplAokJmZCVtbW4Nta2/KxbyxY8di/fr1iIuLg7u7u6HTKbcNGzbg66+/xu3bt5GVlVXotuv/EggE6N69u8YOqqQ/UVFR8PX1xWeffYYFCxaU6jmqn8P4+HidzlndfqapapsxYwamTp2qfiyVSuHm5oY+ffqoC176IJPJEBkZCT8/P5Pb6MRUx67PcSuVStxJlCM1S4lrD/KRmaPE/WQFMnOUWvtny62KjWcmAmwsC+7yeKmuCNLnSrRxF8NMLEBLt8awttD91lm+36Y1bsB0x17dxp2cnIzY2Fjk5ubi9u3bkEgkuH37NszNzTXW7f6vkmZavfTSS7CyskK7du1Qs2ZNveasmg1dGixWkUmydXKDfS1PQ6dRLqUrupX+l4E+6auYFx8fDw8PDwDAgAEDsGvXrkJ9VB/c3333Xfzwww/lOh8VduLECYwaNQqNGzfGBx98ACsrK/To0cPQaRFp6NGjB44cOYKEhAS4uLho7dOsWTPcvHkTSqX2D4pU8VQzqoqaOaW6gC1q5pWKhYWFxuLsKmZmZhXy4aOi4lYFpjp2fYz77pN8LN2VWeTxBs4iPEqR46V6ZoAScHEUoaGL9o9mteyFcKtZ8R/b+H6bHlMde2WPWy6XIz8/H0qlsthijerfR6lUCrlcDplMhrNnz0IikeD+/fuws7NDZmZmkdcySUlJAFCoUOXq6oonT57g5ZdfhkKhgKOjI5ycnAAADg4OAApmNwsEAlhaWlbohIOyvO4sVhFVYdWh6FZau3fvRnR0NLp162boVEzKnj17AAC//PILOnbsaOBsSFcHDx40dApEsLGxgaurK+Li4iCXywtdDKvWqlKtXUVUFUVcfI7d53KQnfvvh8mX6omRlqVAz1aWMBcL0KqBGeysjG5TdiLSA5lMhuzsbCQmJuLWrVt4/vw5bty4Ua6YaWlpAICMjAytx5s0aQJzc3NYW1vDxcUFYrEYderUgUgkgr29PfLz87Fnzx706dOnShUnWawiIqPn7u6O+/fv47PPPsPJkycNnY5Jefz4MQAUOVuFqoaGDRsaOgUiAED37t2xefNmHD9+vNCXD/v371f3IapKFAoloq/nIiVTgb3nNdd36dHSAiO6cdMloqpAJpNBoVAgNzcXOTk5yM/Ph1QqhVAoxPnz52Fubq7RNyYmBvb29iWutaiNts3Y5HI5cnJyUKdOHSQlJcHd3R1CoRAODg5o0KABlEolHB0doVQqYW9vD4FAAAsLC4jF1bOsUz1HRUTVStOmTdG9e3esX78e27dvxxtvvFHic4pbo0d1y9CLU2hDQkIQGhqKw4cPIy4uDkuXLsXt27fVO3xOnjwZSqUSy5cvx6pVqxAfH4/69etj9uzZGDVqlNYc5HI5Fi5ciLVr1+Lhw4dwc3PDxIkT8cknn2hdSyw6OhpLlizByZMnkZGRgfr16yMgIAAzZ87UWDRYdetjcHAw/P39ERISgtOnTyM9PR1yubzE1+bEiROYP38+Tp48iezsbLi7u2PYsGGYPn26+jyqc6iobscEUOrbqJ4+fYrPPvsMu3btQkZGBry8vPDVV19pvY0wIyMDX3/9NbZt24a7d+/CwsICHTt2xKxZswptfnHu3DmsW7cOUVFRePDgAfLy8tCoUSOMGDECn3zyicY3Rg0bNkRSUhKePHmideFlPz8/HDx4EPHx8Th48CDGjx+PxYsX49NPPy3Ud8+ePRgwYAAmT56M7777rshx9+zZE1FRUeqfkf+aMGECwsLCEB0dja5du6rbS/v+v+j8+fP44osvcOLECQiFQvTs2RPffvttoXWlivr7oFQq8csvv2Dt2rW4fPky8vLyULduXfTq1QszZ87Umv9/lSXvP/74A8uXL8eNGzcglUrh7OyMFi1a4L333sPgwYNLPBdVHcnJyUhOTkbNmjU11ruYOHEiNm/ejFmzZuHAgQPqC/+DBw9i//796NatW6Edm4mM3e3EfPwWrblo8FhfGzSpI0ZNCWdQERmL/Px85OXlISYmBpcvXwYA3L59G7Vq1VLfQldWRRWqRCIR5HI5vL29IZFI0LRpUzg7O0MoFBpsTeGqhsUqIqoS5syZg82bN2PmzJkYNGhQhd1LvWzZMkRFRWHQoEHo2bMn/vjjD3z00UewtrbGpUuX8Pvvv+PVV19Fz549sXnzZowePRoeHh5adxP9+OOPcerUKQwdOhSWlpbYvn07pk+fjtu3b2P16tUafX/88Ue8//77cHR0xMCBA+Hs7IwzZ85g/vz5OHz4MA4fPqzxbQ5QUHRasGABfH19MWHCBNy5c6fE8f3xxx8YNmwYzM3NERAQgFq1auHAgQMIDQ1FREQEDh8+DAsLC7i7uyM4OBg7duzApUuX8NFHH6nvaS+NtLQ0dO7cGRKJBCNGjEBSUhK2bNkCf39/nDt3Di1btlT3TUlJQbdu3XDt2jV07doV/v7+SE9Px19//QVfX1/8/vvvGoWMNWvW4O+//0a3bt3Qr18/pKWl4eTJk5gxYwbOnDmDP/74Q9135MiRmDNnDv766y8MHz5cI8eEhAQcOnQI3bp1UxdYpkyZgrCwMK3FqrCwMABAYGBgsWMfNWoUDh8+jN9++w0zZszQOJabm4tt27bB3d1d42dGl/f/woULWLFiBXr06IF3330XFy5cwI4dO3DlyhVcvXoVlpbFb2OuVCoxfPhwbNmyBXXr1sXw4cMhkUgQHx+PLVu2oG/fviUWq8qS96pVq/D+++/D1dUVr7/+OmrUqIGEhAT8888/2LFjB4tVVUBYWBiOHTsGALhy5Yq6TbWZwuDBg9Xv48qVKxEaGlpoQwZfX18EBgYiLCwM3t7eGDBgAJ48eYItW7ZAIpFg1apVlTkkonKJvp6DvedzkJNX8CWOnZUAHRqbw8lOhE7NzCEUCAycIRGp5OXl4fvvv0dWVhauX7+ucayoQpWNjQ2ysrJgY2MDOzs7CAQCtGrVSn1cqVTCzs4ONWrUgFgsho2NDQQCQYXsTGuKWKwioiqhfv36+OCDD7B06VKsXbsWEydOrJDzHD16FOfPn4enZ8FaYNOmTUOjRo0wbdo01K5dG1euXIGzszOAgh3SOnTogCVLlmgtVp05cwaXLl1CnTp1AAChoaF45ZVX8NNPP2HkyJHqWTXXr19HUFAQ2rRpgwMHDqgXPASAr776CjNmzMCKFSvwySefaMSPjIzE2rVrMX78eCgUihJ318jIyEBgYCBEIhFOnjyJ1q1bAyj4h3bkyJHYuHEjlixZglmzZsHd3R0hISGIj4/HpUuX8PHHH5dpF7hLly7h/fffx4oVK9TfHvXs2ROBgYFYuXIlfvzxR3XfoKAgXLt2DT///DPGjRunbl+wYAHat2+PiRMnom/fvuriy4wZM/D9999DJBKpx21nZ4eJEyfi559/xvHjx9G5c2cABYWjOXPmYMOGDYWKVRs3boRCoVDPjLO2tsbIkSPx/fffF1ofLSkpCbt27UKHDh00LlK0eeutt/DBBx9gw4YNhYpVu3btQlpaGj788EMI/v8hRtf3PyIiAhs3btQY1+jRo/Hrr79ix44dGDZsWLF5rlq1Clu2bEGvXr3w999/w8rq352onj9/jufPnxf7/LLmHRYWBnNzc1y6dEn9d0jl2bNnxZ6rtL7++mvY2tpqPZacnKyXc5iyY8eOYf369Rptx48fx/HjxwEUzOArTdFx9erVaN26NVavXo3ly5fD1tYWAwcOxPz58zmriqqUYzdykSxVqB+3cDNDQBfe8kdkTPLy8nDnzh2kpqYiKysLwL+znjp27AhnZ2cIBALY29vD0tIStWrVAoBqe2tdVcL5Z0RUZXzxxRewt7dHaGgosrOzS36CDiZPnqwuVAGAm5sbunTpgvT0dHzxxRcaH7J9fHzg6emJS5cuFRlLVagCAFtbW3z55ZcAoPGBb/Xq1cjPz8fy5cs1PvADwPTp0+Hs7IxNmzYViu/t7Y3x48eXemw7duxAWloaxo8fry5UAYBAIMBXX30FsViM8PDwUscrjo2NDRYtWqQxzXnMmDEQi8U4c+aMui05OVldMHmxUAUAtWvXxqeffoqnT5/iwIED6vYGDRoUmlknEAjwwQcfAIBG30aNGqFDhw6IiIjA06dPNZ6zYcMGWFpa4q233lK3vfvuuwD+nUWlsn79eshkMkyYMKHEsdvZ2eG1117D9evXceHChULnBApmfKno+v6/8sorCAgI0GhT/Ty8+BoXRVXwW7VqlUahCgCsrKwK5fJfuuRd1O47NWrUKDHf0vjmm28QGhqq9Y++CmKmLDw8HEqlssg/L86gCgkJKdSmIhQKERQUhKtXryInJwfJycn4/fffWaiiKkGWr0RYZCYW/SnF45SCW++HvGKF2UMkGNeThSoiY3P48GFs3boVkZGRAAqKUJ999pl6OY2XX34Z3t7e8PT0RJ06dSAWi1moMhJ8F4ioynBycsJnn32GmTNnYtmyZZg5c6bez+Ht7V2ozdXVFQDQpk0brcdOnz6tNdaL6xH9t+3ixYvqtlOnTgEA9u3bp1FoUTEzM0NMTEyhdh8fH63nLYqqcKJtzSg3Nzc0bNgQN2/eREZGBuzs7MoU+78aN25caIaLWCxG7dq11TuaAAVFFdVikto+1Kp2B4uJicGrr74KoOAbspUrV2Lz5s2IiYkptIWvalF4lVGjRuH06dPYvHkzgoKCAADXrl3DxYsXMWTIENjb26v7tmrVCp06dcK2bduwYsUK9bGff/4Ztra2hYpDRRk1ahS2bNmCDRs2qH+mUlJSsGfPHrRv3x5NmzZV99X1/ffy8irUVq9ePQDQeI21UU2Bb9Sokc47r5U176FDh+Lzzz9Hy5YtMWzYMPTo0QNdunQp0+2lJUlISChyM4BmzZrh5s2bejsXEZmm24n5OB2ruS1807pmqO/Mj1VExiQ/Px9ZWVlITU0FUPA5QiKRlGp9VzIO/K1KRFXKxx9/jJUrV2Lx4sXqWTD6JJFICrWpvl0p6lh+fr7WWKppxP9tEwqFGosxpqSkAADmz59fplxr165dpv6q2wSLep6Liwtu3rypvq2uPF4sAL1ILBZrXCSoxv7irUTaqKZtAwW32f39999o0qQJhg4dCnt7e9ja2iI9PR3fffcdcnNzNZ47bNgwTJkyBb/99pu6WPXrr78CgNbF8SdOnIhx48bht99+w/vvv49jx44hJiYGEyZMKPIWs//y9/dHrVq1sGnTJixZsgRCoRBbt25FXl5eoXPq+v4X97Na0oWYqphVt27dMp3zRWXNe/r06ahRowZ+/PFHLF26FN988w3EYjH69++PZcuWaSziT0RkbI7fyMXuc8+RIyv4cqSGnRBDXrGGk60Q9WtWzDqaRKQbmUyGFStWICMjQ93Wvn17tG3bFnv27DFgZlQWvA2QiKoUKysrhISEID09HQsWLCiyn1AoLLKIpMv2srrQtlhjUlISFAqFRjFHVXSQSqXF3mLzX4IyLtyqOs+TJ0+0Hle1ayuCVBTVuT755JNixx4cHAygYCbW33//DX9/f1y/fh0//fQTZs+ejeDg4CLXaKpRowb69euH06dP4/bt21Aqldi4cSNq1qyJvn37FuofEBAABwcH9a2Aqv+W5hZAFbFYjGHDhqkXcQcKbgFUtWt7Dcr6/peH6ufv0aNHOscoa94CgQCBgYE4e/Ysnj59ij///BNvvPEGdu7ciQEDBvCbTiIyasdicvFUqkDG84Lfa561xWjb0BwetcVl/veYiCpGVlYWTp06haioKHWhSiQSwc7Orkxrr5JxYLGKiKqc8ePHo1mzZvj+++9x//59rX0cHR2RlJRUqGCVlZWlvrWsoh09erTIthdvKezQoQOAf2+rqiiq29FUO3e96NGjR7hz5w48PT3LPauqLNq3bw+BQICTJ0+Wqr9qx8MBAwYUWrdK2+utolojasOGDThy5AgePHiAgIAAresnWVlZYeTIkbhw4QKOHDmC33//Ha1bt0b79u1LO6xC54yLi8OJEyfg7+9faHHxynr/X2Rra4vmzZsjLi5O578P5cm7Ro0aGDx4MLZs2YKePXvixo0buH37tk55EBFViv/X3t/qZIVZQyR4pzfXpyIyNkePHsX+/ftx4sQJAAVrqM6aNQtTp04tcpkAMl4sVhFRlSMSibBgwQLk5uZizpw5Wvu0a9cOMpkMv/32m7pNqVRixowZGreUVaTly5drrJ+UmZmpznf06NHq9vfffx9isRhBQUF48OBBoThpaWmFFurWxaBBg2Bvb49169bh2rVr6nbV6yKTyTB27Nhyn6csXFxcMHToUJw4cQJLlizROoPo9OnT6gX1GzRoAKBgV7IXXbt2DQsXLizyPAMHDoS9vT1+++23Ym8BVFHdYvr2228jOzu7TLOqVFRrU23fvh1r1qyBUqnUes7Kev//64MPPoBcLsf7779faOe/nJwc9W1+RSlr3vv37y9UPJbJZOrzvLjI+9ixYyEQCPS24D8RkS7y8pVYuScDIZvTcT+54PeXs70IDZzFEAk5m4rIWFy4cAG7d+9Wf/FVp04dtGnTBgMHDjRwZlQeXLOKqArLTCn8AdEYFOTlUKHneP3119GpU6ciZ+R8+OGHWLduHQIDAxEZGQlnZ2ccPXoUaWlp8PLyKnIHP31q3749vLy8EBAQAAsLC2zfvh3x8fGYMGECunXrpu7XsmVL/PDDD5g0aRKaNm2K/v37o2HDhpBKpbh79y6OHDmCsWPH4scffyxXPhKJBGvWrMHw4cPRoUMHBAQEwNnZGQcPHsTZs2fh4+ODTz/9tLzDLrMffvgBN2/exPTp0/Hrr7+iU6dOsLe3x4MHD3Du3DnExsYiISEB1tbW8PHxgY+PD7Zu3YqEhAR06NABd+7cwb59+zBgwABs27ZN6zksLS0xZMgQhIWF4d69e2jcuLF6ZpA2LVu2xCuvvIITJ07A0tJSY/e+shg1ahRmzZqFr7/+GhKJBK+99prWc1XG+/9fkyZNwpEjR7B161Y0btwYr732GiQSCe7fv4/9+/dj7dq1GDx4cJHPL2veAQEBsLa2RpcuXdCgQQPIZDJERkbi+vXrCAgIQP369dWxFYqCreC5Gw8RGVLck3xcipdptNW043f9RMZCJpMhMzMTO3fu1Gh/+eWX0bZtWwNlRfrCq0CiKsrDwwPLJ2s/plAokJmZCVtbWwiFhriocqiUxZIXLVqkUfR5UatWrbBv3z7MnDkT27Ztg62tLfr3748lS5aUeke38lq2bBm2bt2KsLAwPHz4EG5ubli0aBE++eSTQn0nTJiANm3aYOnSpYiOjsbOnTthb2+P+vXrY8qUKRgzZoxechoyZAhcXFywcOFCbN++HdnZ2XB3d8fs2bPx2WefwdLSUi/nKQsnJyecOHECK1euxJYtW/Dbb79BoVDAxcUFXl5emD17NmrWrAmgYFbdrl278Pnnn2Pfvn04c+YMPD09sWTJEvTv37/IYhVQUDgKCwuDTCYrVfFpzJgxOHHiBN566y2dd6wbOXIkZs+erT7ni7OHXlRZ7/+LBAIBNm/ejD59+iAsLAy//PILlEol6tati6FDh5bqIq8seS9cuBD79u3DP//8g7///hs2NjZo1KgRVq9ejfHjx2vEvXr1Kuzs7DBgwAC9j5uIqLRUc31r2AkxuocNHG2EcHXiYupExuDSpUv466+/1LPyBQIBunXrBisrK7Rq1crA2ZE+CJT6XrWVdCaVSmFvb4/09HS9LnAsk8mwZ88e9O/fX+v6LNWZtrHfvn0bMzekwb6Wp85x05PuYsFIBzRq1EhfqWqVk5ODuLg4eHh4lKmIoFAoIJVKIZFIDFSsMgxTHTdgumOvyHG///77WLVqFY4cOVJkUdRQqvP7LZVK4ejoiE8++QSLFy/WOFYZ4y7t792K+jebyo7XT/pnqmNXjbt3n36IfyrAvaf5+PP0c9RxEiF0mPZdbqsDU3+/TW3cQNUeu1KpRF5eHvbs2YPLly+r21966SUMHTq02OdW5XGXhzGNuyz/ZnNmFRER0X88ffoUv/zyC1566SWjK1RVd8ePH4eZmRmmTp1q6FSIyERtPJqDf27/u8Yel6ciMg4KhQKrV6/W2HG7R48e6Ny5M5cOqIb4jhIREf3f7t27cf78eWzbtg1ZWVkIDg42dEomp1+/fsjJyTF0GkRkwlKzCm48cZYIYWspgG+ryr9FnogKy8rK0ihUmZubw8PDg4WqaorvKhER0f/9/vvvWL9+PerUqYMFCxZU2vpmRERkfF7vaIX2jSwMnQaRyXv+/DkuX76MzMxMAAXrU82cORNCobDaLYdA/2KxioiI6P/Cw8MRHh5u6DSIiMgAbjzMx70sF6T/f0dSIjKsR48eISEhAQcPHtSYdW1mZsbZVCaA7zAREREREZm0hBQ5Vux9DqAxVPsAmom4WBWRochkMoSHhyM/P1+jvU2bNmjcuLGBsqLKxGIVERERERGZtIycgtlUIoEcrRpYwNFOhJfqmc5uYUTGIisrC+fOnUNWVpa6UPXSSy/BwsICvr6+3IHXhLBYRaQDpUKOe/fulTuOh4cHRCKRHjIiIiIiovKyFOViop+Dwbd3JzI1crkcmZmZOHToEC5fvqxuNzMzw9ChQw2YGRkKi1VEOshKe4xv/gJsndJ0jpGZ8gDLJwONGjXSX2JERERERERViEKhwI8//ojk5GSN9g4dOqBhw4YGyooMjcUqIh3ZOrnBvpanodMgIiIiIh1l5ypw42E+Hj7LL7kzEelVTk4OLl++jOzsbHWhSiQSwdLSEkOGDEGDBg0MnCEZEotVRERERERkkjYfy8bJm3nqx8L/L65ORBXv9OnTiIqKUj8WiUSYOXMmhEKh4ZIio8FiFRERERERmaT0rIKF1V0dRbC3Bqyf3wfgYtikiKq5e/fu4cGDB7h79y4AoFatWqhTpw48PT1ZqCI1FquIiIiIiMik9W9ribYeQuzZk1xyZyLSmVwux4YNG9Q7/QFA8+bN0b17dwNmRcaIxSqiKkqhUCAtLa3IYxkZGcjPzzfYtxMODg78ZoSIiIiIiJCYmIg9e/YgJydHXahq3bo1rKys8PLLLxs4OzJGLFYRVVFpaWnYt28fbG1tCx1TKpXIy8uDubk5BAJBpeeWmZmJvn37wsnJqdLPbQzGjh2L9evXIy4uDu7u7oZOp9w2bNiAr7/+Grdv30ZWVhaCg4MREhJi6LSIiIh0duOhDE/S5EjJVBg6FaJqLSMjA4mJibh06RIePHigbre1tcWgQYP45TYVicUqoirM1tYWEomkULtSqURubi4sLCwMUqzSl/j4eHh4eAAABgwYgF27dhXqExUVBV9fX7z77rv44YcfKjvFau/EiRMYNWoUGjdujA8++ABWVlbo0aOHodMymNTUVHz//ffYvXs3bt26BalUCgcHB3h5eWHQoEEYN26c1gIyEREZj6R0OZbuzNBoMxNV3eslImOlVCqxevVqZGVlqdtatGiBl19+GbVr12ahiorFYhURVQm7d+9GdHQ0unXrZuhUTMqePXsAAL/88gs6duxo4GwM6+DBgxg6dChSUlLw0ksvYciQIahRowaePXuG6OhoTJ48GcuWLcOdO3cMnSoRERUj43nBjn/mYqBlfTPYWwvRws0MQH7xTySiUpHJZIiJiUF2dra6UOXi4gJLS0t07doVtWvXNnCGVBWwWEVERs/d3R3379/HZ599hpMnTxo6HZPy+PFjAAUXGKbs0qVLGDhwIICC2yJHjBhRqE9UVBRmzJhR2akREZGO7K2FmNTXTv1YJjNgMkTVyLlz57B//36NtvHjx8PMzMxAGVFVxHl3RGT0mjZtilGjRuHUqVPYvn17qZ7j7u5e5HpRPXr0KHR7ZEhICAQCAaKiorBu3Tq0atUKVlZW8PDwwPLlywEUTGX+7rvv0KxZM1haWqJJkyb49ddfi8xBLpdj4cKFaNSoESwtLdG4cWMsWbIECoX29TGio6MxcOBA1KxZExYWFmjcuDFmzZqF7OxsjX5RUVEQCAQICQnByZMn4e/vDycnJzg6OpbqtTlx4gQGDBgAJycnWFpaolmzZggJCdE4j+oc69atAwB4eHhAIBCU+rbSuLg4vPfee/Dw8ICFhQVq1aqFHj16IDw8XN0nLy8PK1asgL+/P9zc3NT93njjDVy4cKFQzPDwcAgEAoSHh2P37t3o2rUr7O3t0bp1a3WfP/74A927d0etWrVgaWkJNzc39O3bFzt27ChV3kWZPHkynj9/jhUrVmgtVAEFP1dRUVHlOg8RERFRVXXs2DGsW7dO/eWyo6MjXnrpJfTt25eFKiozzqwioiphzpw52Lx5M2bOnIlBgwZBJBJVyHmWLVuGqKgoDBo0CD179sQff/yBjz76CNbW1rh06RJ+//13vPrqq+jZsyc2b96M0aNHw8PDA126dCkU6+OPP8apU6cwdOhQWFpaYvv27Zg+fTpu376N1atXa/T98ccf8f7778PR0REDBw6Es7Mzzpw5g/nz5+Pw4cM4fPgwzM3NNZ5z4sQJLFiwAL6+vpgwYUKpbj/7448/MGzYMJibmyMgIAC1atXCgQMHEBoaioiICBw+fBgWFhZwd3dHcHAwduzYgUuXLuGjjz6Cg4NDqV7DkydPol+/fpBKpfD398ewYcOQmpqKCxcu4LvvvsPYsWMBACkpKfj444/RtWtX9O/fH46Ojrh79y527tyJvXv3Ijo6Gu3bty8U//fff0dERAReffVVTJo0Cc+ePQMArFq1Cu+//z5cXV3x+uuvo0aNGkhISMA///yDHTt2YPDgwaXK/79u376N6Oho1KtXD+PGjSu2r4WFhU7nICKiinc8JhfbTmRDlq80dCpE1Y5SqcShQ4egVP7796tt27bo3LmzAbOiqozFKiKqEurXr48PPvgAS5cuxdq1azFx4sQKOc/Ro0dx/vx5eHp6AgCmTZuGRo0aYdq0aahduzauXLkCZ2dnAAW7/nXo0AFLlizRWqw6c+YMLl26hDp16gAAQkND8corr+Cnn37CyJEj0bVrVwDA9evXERQUhDZt2uDAgQMauyh+9dVXmDFjBlasWIFPPvlEI35kZCTWrl2L8ePHQ6FQQCqVFju2jIwMBAYGQiQS4eTJk+oZSUqlEiNHjsTGjRuxZMkSzJo1C+7u7ggJCUF8fDwuXbqEjz/+uFQ7G+bm5iIgIAAZGRnYs2cP+vbtq3H84cOH6v93dHTE/fv3UbduXY0+165dQ8eOHTFz5kxERkYWOsfevXsRERGB3r17a4w7LCwM5ubmuHTpkvo9UlEVtHRx/PhxAAUzp7gQKBFR1XX2dh4yc/79IO1Ws2K++CIyJQkJCdixYwdycnLUhapBgwbB1tZWvVESkS541U1EVcYXX3wBe3t7hIaGFro1Tl8mT56sLlQBgJubG7p06YL09HR88cUXGkUQHx8feHp64tKlS0XGUhWqgILdG7/88ksAwPr169Xtq1evRn5+PpYvX65RqAKA6dOnw9nZGZs2bSoU39vbG+PHjy/12Hbs2IG0tDSMHz9e49Y5gUCAr776CmKxWOM2PV3s3LkTDx48wMiRIwsVqgCgXr166v+3sLAoVKgCCnaJ8fX1RXR0NGRaFhAZPHgwevfurfX8ZmZmWqeZ16hRoyzD0JCYmAhAM3ciIqq63uhohfkj7PGuP3dvJdJVamoqrly5gqNHjyIpKUn95aGtrS1atWqFRo0aVdidEGQaOLOKiKoMJycnfPbZZ5g5cyaWLVuGmTNn6v0c3t7ehdpcXV0BAG3atNF67PTp01pjqWZOaWu7ePGiuu3UqVMAgH379uHAgQOFnmNmZoaYmJhC7T4+PlrPWxTVOlA9evQodMzNzQ0NGzbEzZs3kZGRATs7u0J9SuOff/4BAPTp06dU/S9evIjFixfj2LFjSExMLFScSk5OVr/+KkWNe+jQofj888/RsmVLDBs2DD169ECXLl1KffsiERFVT4lpcjxNlyPjecGakRJrIWrZ80M0UXmsW7cOGRkZ6sctW7ZEp06d4OTkxCIV6QWLVURUpXz88cdYuXIlFi9ejHfffVfv8SUSSaE2sVhc7LH8fO1bXdeqVUtrm1AoRHp6urotJSUFADB//vwy5VrWbX9V33gV9TwXFxfcvHkTUqlU52JVWloaAGidMfVfJ06cQM+ePQEUFLcaN24MW1tbCAQC9VpZubm5hZ5XVP7Tp09HjRo18OOPP2Lp0qX45ptvIBaL0b9/fyxbtkznqeiqnRAfPXqk0/OJiMhw0rIU+HJTOl5YRgfC0u0VQkT/kZeXh8uXLyMnJ0ddqKpfvz6srKzQpUuXMl+bEhWHxSoiqlKsrKwQEhKCiRMnYsGCBRg4cKDWfkKhEHl5eVqPvVgoqkhJSUlo2rRpoTaFQgF7e3t1m6oIVtYiUWl35vvveZ48eaL1uKpdW1GutFSzmEpT2Jk/fz5yc3Nx7NixQotvnjp1qsjbK4sat0AgQGBgIAIDA/Hs2TMcPXoUmzZtwtatWxEbG4srV67o9E2fKreoqCgoFAquW0VEVIWkZymgVAIiIVCvhggSayFauHFXMqKyyM/PR0pKCs6cOYOzZ89qHBs2bBisrKwMlBlVZ7ziJqIqZ/z48WjWrBm+//573L9/X2sfR0dHJCUlFZr1lJWVhdjY2MpIE0ePHi2y7cVbCjt06ADg39sBK4rqFseoqKhCxx49eoQ7d+7A09NT51lVwL+36EVERJTY986dO3BycipUqMrOzsb58+d1zgEoWKNq8ODB2LJlC3r27IkbN27g9u3bOsVq1KgRunXrhgcPHmisNaaNtplgRERkePbWQswaYo/JA+wgseZHIKKSyGQynDt3DseOHcP8+fOxatUqjUJVmzZt8Oqrr7JQRRWGv6mJqMoRiURYsGABcnNzMWfOHK192rVrB5lMht9++03dplQqMWPGDGRlZVVKnsuXL8fjx4/VjzMzM9X5jh49Wt3+/vvvQywWIygoCA8ePCgUJy0tTb3eVHkMGjQI9vb2WLduHa5du6ZuV70uMpkMY8eOLdc5XnvtNdSrVw8bNmzA/v37Cx1/ccZVgwYNkJqaqpGLXC7HtGnT8PTp0zKfe//+/YWKkzKZTH2b5YsXU2PHjoVAICj1gvLLly+HlZUVPvzwQ2zZskVrn6NHj6pvayQiIiKqyi5fvoxdu3bh4MGD6jaBQAAHBweMHDkSgwYNQtu2bQ2YIVV3vA2QqArLzMzU2q5UKpGXl4fc3Nwy3yqmD0XlpU+vv/46OnXqhJMnT2o9/uGHH2LdunUIDAxEZGQknJ2dcfToUaSlpcHLy6vIW8z0qX379vDy8kJAQAAsLCywfft2xMfHY8KECejWrZu6X8uWLfHDDz9g0qRJaNq0Kfr374+GDRtCKpXi7t27OHLkCMaOHYsff/yxXPlIJBKsWbMGw4cPR4cOHRAQEABnZ2ccPHgQZ8+ehY+PDz799NNyncPCwgJbt25F37590a9fP/Tt2xdeXl6QSqW4ePEisrOz1YW3oKAgREREoEuXLhg6dCgsLS0RFRWFR48eoUePHlpngBUnICAA1tbW6NKlCxo0aACZTIbIyEhcv34dAQEBqF+/vrqvQlGwyK5qPbKSeHl54e+//8bQoUMxbNgwzJkzB926dYOTkxNSUlJw/PhxXLlyBY0aNSpTzkRERETGJDo6GteuXVN/uevk5IT69eujbt26aNeunYGzI1PCYhVRFeXg4IC+fftqPaZQKNQ7uhlqfZ3K2IFt0aJFGkWfF7Vq1Qr79u3DzJkzsW3bNtja2qJ///5YsmQJAgICKjw3AFi2bBm2bt2KsLAwPHz4EG5ubli0aBE++eSTQn0nTJiANm3aYOnSpYiOjsbOnTthb2+P+vXrY8qUKRgzZoxechoyZAhcXFywcOFCbN++HdnZ2XB3d8fs2bPx2WefwdLSstzn6NSpE86fP4+FCxdi//79OHDgABwdHdG8eXO899576n6vvvoqtm3bhgULFmDDhg2wtrZGz5498eeffxY5Y644CxcuxL59+/DPP//g77//ho2NDRo1aoTVq1dj/PjxGn2vXr0KOzs7DBgwoNTxe/XqhdjYWPzwww/YvXs3tmzZgoyMDNjb26NVq1b47rvv8M4775Q5byIi0r/7yfk4eDkH6VnKkjsTmbi8vDycPXsWz58/x7FjxzSOtWrVSutO0kQVTaBUKvkb3EhIpVLY29sjPT29XAsc/5dMJsOePXvQv39/mJmZ1oKS2sZ++/ZtzNyQBvtanjrHfRRzBLZObuWKkZ50FwtGOhQ7EyMnJwdxcXHw8PAoUxFBoVBAKpVCIpGY1GLQpjpuwHTHrsu4pVIpHB0d8cknn2Dx4sUVnGHF4PtdceMu7e/divo3m8qO10/6Vx3Gvnp/Js7e+XejFbeaInw51L6YZ1SPceuC4zatcQP/jr1379549uwZzp8/X+iug9dffx0ODg6oV69etbnWMNX33JjGXZZ/szmzioiITMrx48dhZmaGqVOnGjoVIiKqIDJ5wffx7Rqao6GLGC3rm84HU6LS+u2335CQkKDR1qFDB7i6uqJ169YGyoqoAItVRERkUvr164ecnBxDp0FERJWguZsYXZuX/xZ3ouoiKysL+/fvx71799TrzNrb28PCwgJ9+vRBw4YNDZwhUQEWq6hKkcvliIuLK1N/ALh79y5EIhEA4N69ewCKnwZORERERERU3dy4cQNXrlxRPxYIBJg4cSKsra0NmBVRYUZbrDpz5gyCg4Nx8uRJ5OXloUWLFvj444/x9ttvlzqGQqHADz/8gJ9++gmxsbGwtbWFr68v5s+fj8aNG2v0ffToEX7//Xfs2bMHMTExSExMhJOTEzp37ozp06ejQ4cOheKHhIQgNDRU67ktLCz4zX0FiIuLw+TlV2Dr5Faq/mKhAgFeQOiWdOQrCu61fnL3Jmp7+lRkmkRERERkAHn5SmQ+V0CWz2V5iV4kk8mQkJCA5ORkAIC1tTV8fX3h4uLCQhUZJaMsVkVFRcHf3x/m5uYYNmwY7O3tsX37dowYMQLx8fGYOXNmqeK89957WLNmDZo3b46goCA8efIEW7ZsQUREBE6cOIHmzZur+65YsQKLFi1Cw4YN4efnh1q1aiE2NhY7duzAjh07sGnTJgwdOlTrecaMGQN3d3eNttJuh05lV5aFzcWCfAAJsHd2R76y4D3JTHlQgdkRERERkSE8z1Ni5oY0ZOawUEX0X7/88gsePnyofmxubg4vLy+DL7hNVBSjq6jk5+cjMDAQAoEA0dHR8Pb2BgAEBwejU6dOCA4OxpAhQwrNjPqvw4cPY82aNejatSsiIyNhYWEBABg9ejT8/PwwadIkHDlyRN3fx8cH0dHR6Nq1q0aco0ePolevXpg0aRIGDRqkjvOisWPHcjtPIiIiIiIDSpbK1YUqsQiQWAnR2JUfxMl0paen46+//kJWVhaSkpLU7c7OzrCzszNgZkQlM7o9KA8dOoQ7d+7g7bffVheqAMDOzg6zZ89Gfn4+1q1bV2KcNWvWAADmzZunUWDq1asX/P39ER0djVu3bqnb33jjjUKFKgDo2rUrfH19kZKSonFvL1FlUir5DSERUWXg71uiqs/eWoBV7zph0WgHuDiKDJ0OUaVTKBRISkrChQsXEBcXpy5UiUQifPrpp5gwYQIkEomBsyQqntHNrIqKigIA9OnTp9AxVduLM6KKi2NjY4POnTsXOubv7499+/bhyJEjaNKkSYmxVFMji7q17+jRo/jnn38gEonQrFkz9O7dW+sMLKKyUi0KL5PJYGVlZeBsiIiqv/z8fAC8nZ+IiKqu3377DXfv3lU/rl+/Prp3744aNWrA2toaMpnMgNkRlY7RXYnFxsYCgNbb/BwdHVGzZk11n6JkZWUhISEBLVu2VH/Yf5EqdklxAOD+/fs4cOAAXFxc0KpVK619vvzyS43Hrq6uWL9+Pfz8/IqNnZubi9zcXPVjqVQKoKAwoc9fIKpY1eGXklwuh1io+P9aVCUT/b+f6IX+ZiKUKYY2+oghFiogl8tLfF/MzMyQlpYGGxsbCASCUsVWzQxQKpVQKBQ651jVmOq4AdMdO8fNcetbeno6hEIhFApFsb+fq8O/qUTVxa3HMuw6+5xrVZFJe/r0KdavX4+srCyNdolEAh8fH3h6lm7NXyJjYXTFqvT0dACAvb291uMSiURjYThdY7zYrygymQyjRo1Cbm4uFi9eXKjw1aZNG6xfvx7du3dH7dq18fDhQ2zevBkLFizAa6+9hlOnTsHLy6vI+AsXLtS6m2BERESF7MgQGRmp95iGEOAFAAlleo6f65l/H9QR/v/5ZYuhQS8xgJiYBMTExBTbzcLCAjVr1kRubi5sbGzK9G3/s2fPdM+vCjPVcQOmO3aO27RU1LhzcnKQnJyMp0+flvi7OTs7u0JyIKKyi7qaixsP//0C0cHG6FY6IaowMpkMiYmJuHnzpkahytbWFh9++CHv+KEqy+iKVcZCoVBg/PjxiI6OxoQJEzBq1KhCfQYPHqzxuFGjRpg1axZq166NiRMnYt68efj999+LPMeMGTMwdepU9WOpVAo3Nzf06dNHr/cQy2QyREZGws/Pr8rv9nD37l2EbkmHvbN7qfqLBPnwcz2DyIT2kP9/N8DHt47DxrFuqWNoo48Y6U/jERxgX6pvOTIyMpCamoq0tLRSxVYqlcjJyYGlpWWpZ2NVB6Y6bsB0x85xc9z6JBAIUKtWLbRs2bLE+KrZ0ERkeHJFwYyqrs0t0NLNDI1c+RGHTMemTZsQFxenftyoUSMMHjwYlpaWWu8yIqoqjO43uWo2VFGznqRSaZEzpsoS48V+/6VUKjFhwgRs2LABI0eOxI8//liq3FXGjBmD999/H8ePHy+2n4WFhdZKt5mZWYUUlSoqbmUSiUTIVwiRryzbj65cKVY/RyaHTjFepI8Y+QohRCJRqd4TJycnODk5QSaTQS6Xl5yfTIbo6Gh069atyr/nZWGq4wZMd+wcN8etT2ZmZqW+sDel152oqqhfU4SXG5obOg2iSpWSkgKg4O4hCwsLtG3bFjY2NgbOiqj8jK5Y9eJ6Um3bttU4lpqaiuTkZLzyyivFxrCxsYGrqyvi4uIgl8sLXXgWty6WQqFAYGAg1q1bh+HDhyM8PBxCYdmmEpubm8POzo63CJDelbbgKBKJkJ+fD0tLS5P6QGWq4wZMd+wcN8dNRERkijIzM5Gdna3+IjsgIAB16tQxcFZE+mN0N3R3794dQMG6Tf+lalP1KSlOVlaW1tlN+/fv1xrnxUJVQEAAfv31V52mTsbGxiI1NRXu7u5lfi4RERERERVPqVRi+8lsLN+dgdsJum94Q1QVPXr0CEuXLsWqVauQmZlp6HSIKoTRFat69eoFT09PbNy4ERcvXlS3Z2RkYO7cuRCLxRg7dqy6PTk5GTExMUhOTtaIM3HiRADArFmzkJeXp24/ePAg9u/fj27duqFJkybqdoVCgXfeeQfr1q3DkCFDsGHDhmILVRkZGbh8+XKh9tTUVLzzzjsAgOHDh5dp7EREREREVLKkdAX2XsjBlXsySJ8XrFklsTK6jzZEepWTk4PY2FhcvXoVSqUSQqEQNjY2qF+/PmrVqmXo9Ij0yuhuAxSLxQgLC4O/vz+6du2K4cOHQyKRYPv27YiLi8O8efM0ikwrV65EaGgogoODERISom739fVFYGAgwsLC4O3tjQEDBuDJkyfYsmULJBIJVq1apXHeOXPmIDw8HLa2tmjSpAnmzZtXKLfBgwejTZs2AAp2IvLy8kK7du3QqlUr1KpVC48ePcLevXvx7Nkz+Pn5YcqUKRXyGhERERERmTK5ouC/FmJgWFcb2FkJ0LI+bw+m6m3z5s24d++e+nGjRo04QYKqLaMrVgEFhaZjx44hODgYW7duRV5eHlq0aIG5c+dixIgRpY6zevVqtG7dGqtXr8by5ctha2uLgQMHYv78+RoFLwCIj48HUHDv7/z587XGc3d3VxernJyc8MEHH+DUqVP4+++/kZaWBhsbG7Rq1QojR45EYGAgd18gIiIiIqpAZmIBurxUeMMioupCqVQiMTERmZmZ6ruJatasCUtLS7Rv397A2RFVHKMsVgGAj48P9u7dW2K/kJAQjRlVLxIKhQgKCkJQUFCJccLDwxEeHl7q/CQSCVauXFnq/kRERERERERlcf/+/UKfUwcPHoy6desaJiGiSsIbu4mIiIioVM6cOYP+/fvD0dERNjY28PHxwcaNG8sUIy0tDV9++SVat24NOzs71KxZE+3bt8fKlSuRk5NTQZkTEVU9ubm5ePbsGYCCHefr1KmDli1bwsXFxcCZEVU8o51ZRURERETGIyoqCv7+/jA3N8ewYcNgb2+P7du3Y8SIEYiPj8fMmTNLjJGWloa2bdvi7t276NKlC959913k5uZi7969CAoKwp9//onIyEgIhfw+lYhM2+7du3H27Fn143r16mHUqFEGzIiocrFYRURERETFys/PR2BgIAQCAaKjo+Ht7Q0ACA4ORqdOnRAcHIwhQ4agcePGxcb56aefcPfuXUyZMgVLly5Vt+fl5aFLly44dOgQjh07hm7dulXoeKjqOhGTi1+PZCFfbuhMiCpGYmIiMjIycPPmTXWbQCBAw4YNDZgVUeVjsYqIiIiIinXo0CHcuXMH48aNUxeqAMDOzg6zZ8/GsGHDsG7dOixYsKDYOHfv3gUA9O/fX6Pd3Nwcfn5+OHPmDJKSkvQ/AKo2rt6XaRSqGrny4wxVfUqlEhkZGXjw4AG2bdumcWzMmDFwc3Pj5l1kcvjbnYiIiIiKFRUVBQDo06dPoWOqtiNHjpQYp0WLFgCAffv2oXfv3up2mUyGAwcOwMrKCp06ddJDxlTdDfaxQtfmFrCzEhg6FaJy+/vvv3HhwgWNtjp16sDR0ZGFKjJZLFYRERERUbFiY2MBQOttfo6OjqhZs6a6T3ECAwPx66+/4ptvvsHZs2fRvn175ObmYt++fUhNTcXGjRtL3OEqNzcXubm56sdSqRRAQcFLJpOVZVjFUsXSZ8yqwpjHrlAoAABmIgWszOTIz9dfbGMed0XiuA0/7ocPHwIo2M1eJBKhR48eaN++PYCCn3nVz72+GNPYKxPHbfhxlyUHFquIiIiIqFjp6ekAAHt7e63HJRKJ+sNWcaysrBAVFYV3330XGzZsUM/GEgqF+PDDD9GlS5cSYyxcuBChoaGF2iMiImBtbV3i88sqMjJS7zGrCmMce0JKMwDOuH79Op7ff1wh5zDGcVcGjttwMjIyAAAeHh6ws7PD06dPsWfPngo/rzGM3RA4bsPJzs4udV8Wq4iIiIioUiQnJ2PQoEFISkrC7t270blzZ+Tk5GDnzp345JNPsGvXLpw9exaOjo5FxpgxYwamTp2qfiyVSuHm5oY+ffpAIpHoLVeZTIbIyEj4+fnBzMxMb3GrAmMee8LB53h8Nx/NmzeHb8s2eo1tzOOuSBy3YcatOn9mZqZ65lSHDh3g7u5eaefme24ajGncqtnQpcFiFREREREVSzWjSjXD6r+kUmmRs65eNHXqVJw4cQKXLl1C69at1bEnTJgAuVyOSZMmYdmyZVpnTqlYWFjAwsKiULuZmVmFXIRXVNyqwBjHLhQW3AIqEokqLDdjHHdl4LgrV1xcHC5evKjRZm9vX6m58D03LcYw7rKcn8UqIiIiIiqWaq2q2NhYtG3bVuNYamoqkpOT8corr5QYZ/fu3XByclIXql7Us2dPAMC5c+f0kDFVJ0qlEj8fzMKDZDlSMvW7dg9RZZPL5Xj8+DGePHkCAHByckKXLl3g4OCAWrVqGTg7IuMhNHQCRERERGTcunfvDqBgXaj/UrWp+hQnLy8PUqkUeXl5hY49ffoUALTOmiLT9lSqwKlbeXiUIsfzPCUAoIYdP8ZQ1bR9+3b8/PPPOHToEADA1tYW3t7e8PDwMHBmRMaFv+WJiIiIqFi9evWCp6cnNm7cqHHbSkZGBubOnQuxWIyxY8eq25OTkxETE4Pk5GSNOJ07d0Z+fj7mzp2r0Z6bm6tu8/X1rbBxUNWkLKhPwVwMTBloh9lDJfByN71beKjqUigUOHr0KHbv3o24uDgAgJ2dHWrWrFlotioRFeBtgERERERULLFYjLCwMPj7+6Nr164YPnw4JBIJtm/fjri4OMybNw9NmjRR91+5ciVCQ0MRHByMkJAQdftXX32FEydOYN68eYiIiFAvsL5//37cvXsXbdu2RWBgoAFGSFWBSChAczcWqajquXfvnnomlcrQoUNRr149A2VEZPxYrCIiIiKiEvn6+uLYsWMIDg7G1q1bkZeXhxYtWmDu3LkYMWJEqWK0adMG586dw8KFC3Hw4EGsXLkSYrEYjRo1QmhoKKZNmwZLS8sKHgkRUeVITU3FjRs3kJSUBKBgNtXLL78Me3t71K1b18DZERk3FquIiIiIqFR8fHywd+/eEvuFhIRozKh6UePGjfHzzz/rOTMiIuOze/du3LlzR/3YyckJPXr0MFxCRFUIi1VEREREREREevb8+XMAgKenJ+zt7fHyyy8bOCOiqoPFKiIiIiIiIiI9yM3NxcaNG5Geno6MjAwAQIcOHTTW9SOikrFYRURERERERudpuhyHruZAmq00dCpEpfbw4UPcv39f/VggEMDJycmAGRFVTSxWERERERGR0dl3IQfR13PVj63MBQbMhqh0lMqC4mqNGjXwxhtvwM7ODnZ2dgbOiqjqYbGKiIiIiIiMTl5+wYf+5m5iNKwtRssG5gbOiKhop0+fxpEjR5Cfnw8AMDMzQ506dQycFVHVxWIVEREREREZrRZuZujTxsrQaRAV69q1a+oF1QHAxcXFgNkQVX0sVhERERERERHpQf/+/dGoUSM4ODgYOhWiKo3FKiIiIiIiIqIyUiqVOH/+PNLS0pCWlgYAsLOzg6Ojo2ETI6oGWKwiIiIiIiIiKqPHjx9j165dGm3m5lxbjUgfWKwiIiIiIiIiKqWHDx/i7NmzkEqlAAArKyu0bt0aEokE7u7uhk2OqJpgsYqIiIiIiIiolKKionDnzh3141q1aqFv374GzIio+mGxioiIiIiIjEbkpRzEJ+XjTmK+oVMh0io/v+Bn08vLCy4uLmjatKmBMyKqflisIiIiIiIio5CWpcDW49kabbaWQgNlQ/QvpVKJkydPIjU1Fc+ePQMANG7cGC1atDBwZkTVE4tVRERERERkFGRyJQBAJATe7GQNGwsB2jfmgtVkeAkJCYiMjNRos7S0NFA2RNUfi1VERERERGRURELAz4uFADIeMpkMQMFi6j4+PrCzs4OHh4eBsyKqvlisIiIiIiIiItJCJpPh/v37SEhIAADY2NigR48ehk2KyASwWEVERERERESkxZ49e3Dx4kX1Y4FAYLhkiEwIi1VEREREREREWqSnpwMAHBwcYGNjg3bt2hk4IyLTwGIVERERERER0f8plUqcOnUKKSkpSE5OBgD07NkTrVq1MnBmRKaDxSoiIiIiIjK4pHQ5ktLlhk6DCE+ePEFERIRGG3f+I6pcLFYREREREZFBRVx8jt9PPDd0GkQA/t35z9LSEh06dICtrS08PT0NnBWRaWGxioiIiIiIDOpxSsGMKgsxYG4mQIfG5gbOiExRVlYWbt68iWfPngEArKysuPMfkYGwWEVEREREREZhQDsr9HvZytBpkImKiIjA5cuX1Y/FYn5cJjIU/u0jIiIiIiIik5ednQ0AcHV1hYODA7y8vAycEZHpYrGKiIiIiIiI6P86dOjAQhWRgbFYRURERERERCbr4sWLePbsGZKTkw2dChH9H4tVREREREREZJKSk5Px119/abSZm3OBfyJDY7GKiIiIiIiITFJeXh6AggKVt7c3bG1t0bhxYwNnRUQsVhEREREREZHJkclkyMrKAgBYWVmhb9++Bs6IiFRYrKJKI5fLERcXV64Y9+7dA2Cvn4SIiIiIyKDO38lD/NN8xCfJDZ0KmZhjx47h2rVruHbtmqFTISItWKyiShMXF4fJy6/A1slN5xhP7t5EbU8fPWZFRERERIaQlaPAjxGZUCr/bbM0ExguITIpCQkJAACBQACRSITmzZsbOCMiehGLVVSpbJ3cYF/LU+fnZ6Y80GM2RERERGQoufmAUgkIBECvVhawthCiQxMubE0VRyaTYc2aNXj69Km6rV+/fmjfvr0BsyIibVisIiIiIiIigxEJgIAuNoZOg0zAs2fPNApVAoEALi4uBsyIiIoiNHQCRTlz5gz69+8PR0dH2NjYwMfHBxs3bixTDIVCgZUrV6J169awsrKCs7Mzhg4ditjY2EJ9Hz16hGXLlqFPnz6oX78+zM3N4eLigjfffBOnT58u8hxSqRRTp05FgwYNYGFhgQYNGmDq1KmQSqVlHjMRERERERHpV1paGqKiotSf62xsbPDRRx+hVatWLFYRGSmjnFkVFRUFf39/mJubY9iwYbC3t8f27dsxYsQIxMfHY+bMmaWK895772HNmjVo3rw5goKC8OTJE2zZsgURERE4ceKExn3JK1aswKJFi9CwYUP4+fmhVq1aiI2NxY4dO7Bjxw5s2rQJQ4cO1YiflZWF7t274+LFi/Dz88Pw4cNx6dIlfPvttzh8+DCOHTsGGxt+S0RERERERGQoUVFRuHTpkvqxpaUlbGxsIBQa7dwNIpNndMWq/Px8BAYGQiAQIDo6Gt7e3gCA4OBgdOrUCcHBwRgyZAgaN25cbJzDhw9jzZo16Nq1KyIjI2FhYQEAGD16NPz8/DBp0iQcOXJE3d/HxwfR0dHo2rWrRpyjR4+iV69emDRpEgYNGqSOAwCLFy/GxYsXMX36dCxatEjdHhwcjDlz5mDx4sUIDQ0t92tCREREREREpadQKLB582YkJSUhKysLAODh4YHatWvjpZdeMnB2RFQSoyslHzp0CHfu3MHbb7+tLlQBgJ2dHWbPno38/HysW7euxDhr1qwBAMybN0+jwNSrVy/4+/sjOjoat27dUre/8cYbhQpVANC1a1f4+voiJSUFV65cUbcrlUqEhYXB1tYWX375pcZzZsyYAUdHR6xduxbKF7c3ISIiIiIiogpz9+5drFmzBvPmzUNsbCzS09ORn58PoOCznb+/P+rXr2/gLImoJEY3syoqKgoA0KdPn0LHVG0vzogqLo6NjQ06d+5c6Ji/vz/27duHI0eOoEmTJiXGMjMzAwCIxf++XLGxsXj8+DH8/f0L3epnaWmJbt264a+//sLt27eLnAWWm5uL3Nxc9WPVOlcymQwymazEvEpLFUufMXUhl8shFiogFuTrHMNMhDLFEP2/n+iF/mWNoY88tBELFZDL5RXyvhjLe17ZTHXcgOmOnePmuA3FGHIgIqLCLly4gMePH6sfCwQCBAYGwtraGg4ODoZLjIjKxOiKVarFz7UVeBwdHVGzZk2tC6S/KCsrCwkJCWjZsiVEIlGh46rYJcUBgPv37+PAgQNwcXFBq1atSpXnf89RVJ+FCxdqvU0wIiIC1tbWJeZWVpGRkXqPWVYBXgCQoHuAOsL/P79sMfxcz5Q7hj7y0IwBxMQkICYmRvcYJTCG99wQTHXcgOmOneM2LcYw7uzsbEOnQERE/6dUKnH48GEkJiYiIaHg+rx9+/Zo1qwZ6tatq3GnDRFVDUZXrEpPTwcA2Nvbaz0ukUjw8OHDcsd4sV9RZDIZRo0ahdzcXCxevFij8KWPc8yYMQNTp05VP5ZKpXBzc0OfPn3Uz9cHmUyGyMhI+Pn5qWeJGcLdu3cRuiUd9s7uOsd4fOs4bBzrljqGSJAPP9cziExoD7lSrFMMfeShTfrTeAQH2MPT01PnGEUxlve8spnquAHTHTvHzXEbCnf9JSIyPKVSidTUVKSkpODo0aMaxxo0aFAh19lEVDmMrlhlLBQKBcaPH4/o6GhMmDABo0aN0vs5LCwstFb5zczMKuQivKLilpZIJEK+Qoh8pe4/djI5dIohV4rVz9E1hj7yeFG+QgiRSFSh74mh33NDMdVxA6Y7do7btBjDuA19fqKq7FmGHIcu50L6XGHoVKiKO378OA4ePKh+bGZmhn79+sHa2rrEDbmIyLgZXbFKNVOpqBlJUqm0yNlMZYnxYr//UiqVmDBhAjZs2ICRI0fixx9/1Ps5iIiIiIhM0YFLOThw+d91W60sBAbMhqqi1NRUJCcn486dOwAKilTm5ubw8vLS2KSLiKouoytWvbjWU9u2bTWOqX4pvfLKK8XGsLGxgaurK+Li4iCXywutW1XcelMKhQKBgYFYt24dhg8fjvDwcAiFhTdNLGndq5LWtCIiIiIiMkW5/9+fpmldMZq4itHcjTMVqfRyc3Pxww8/qHf4Awp2fO/QoYMBsyIifStchTGw7t27AyhYZPy/VG2qPiXFycrKwvHjxwsd279/v9Y4LxaqAgIC8Ouvv2pdoB0oKELVqVMHx48fR1ZWlsaxnJwcREdHo06dOmjUqFGJuRIRERERmZpmdc3wmo81GrmyWEUle/ToEX799VesX79eXaiqU6cOGjZsiKZNmxo4OyLSN6MrVvXq1Quenp7YuHEjLl68qG7PyMjA3LlzIRaLMXbsWHV7cnIyYmJikJycrBFn4sSJAIBZs2YhLy9P3X7w4EHs378f3bp1Q5MmTdTtCoUC77zzDtatW4chQ4Zgw4YNRRaqgH+3QM3MzMScOXM0ji1cuBCpqakIDAyEQMBpzURERERERLq4cOECdu/ejbCwMNy9e1e921+NGjUwYcIEjBw5Eg4ODoZNkoj0zuhuAxSLxQgLC4O/vz+6du2K4cOHQyKRYPv27YiLi8O8efM0ikwrV65EaGgogoODERISom739fVFYGAgwsLC4O3tjQEDBuDJkyfYsmULJBIJVq1apXHeOXPmIDw8HLa2tmjSpAnmzZtXKLfBgwejTZs26sfTp0/Hzp07sXjxYly4cAFt27bFpUuXsHfvXrRp0wbTp0/X++tDRERERERkCrKzs7Fz506NNk9PT7Rt2xZubm4GyoqIKoPRFauAgkLTsWPHEBwcjK1btyIvLw8tWrTA3LlzMWLEiFLHWb16NVq3bo3Vq1dj+fLlsLW1xcCBAzF//nyNghcAxMfHAwAyMzMxf/58rfHc3d01ilU2NjaIiopCaGgotm3bhqioKLi4uGDKlCkIDg6GjY1NmcdORERERERkyu7fv4+IiAjk5OQAKLirpVu3brCysoK3tzfMzc0NnCERVTSjLFYBgI+PD/bu3Vtiv5CQEI0ZVS8SCoUICgpCUFBQiXHCw8MRHh5exiwLdvtbunQpli5dWubnEhERERERkaZLly7h0aNH6sdOTk7o0aOH4RIiokpntMUqIiIiIiIiMg1KpRK7d+/GgwcPIJVKAQBt2rRBq1at4OrqauDsiKiysVhFREREREQV7sLdPMQl5SPuSb6hUyEjkpmZifPnzyMtLQ0XLlzQOObh4QFPT08DZUZEhsRiFRERERERVajneUr8uD8TCuW/bZZm3DXblD19+hSJiYk4cOCAeiaVyqhRo2BpackZVUQmjMUqIiIiIiKqULJ8pbpQ1bu1BawshOjUlItkmyqZTIawsDDk5eVptHfo0AENGzbkbCoiYrGKiIiIiIgqhwBAQBfumG2qpFIpTp06hefPn6sLVR4eHrC0tISfnx8cHR0NnCERGQsWq4iIiIiIiKjC/fPPPzh58qT6sYWFBUaNGgWBgLeEEpEmFquIiIiIiIioQiiVSmzduhVxcXGQyWQAgPr168PDwwPu7u4sVBGRVkJDJ0BEREREVcOZM2fQv39/ODo6wsbGBj4+Pti4cWOZ42RkZCA4OBgtW7aEtbU1HBwc8PLLLyM0NLQCsiYiQ8jLy8Ply5dx6tQpxMTEIDc3FwqFAgDg4+ODHj16wN3d3bBJEpHR4swqIiIiIipRVFQU/P39YW5ujmHDhsHe3h7bt2/HiBEjEB8fj5kzZ5Yqzv3799GzZ0/cvXsXvXv3xoABA5Cbm4vbt2/jjz/+QHBwcAWPhIgqwz///IODBw+qHwuFQrz33nuwsrKCra2tATMjoqqAxSoiIiIiKlZ+fj4CAwMhEAgQHR0Nb29vAEBwcDA6deqE4OBgDBkyBI0bNy42jlwux1tvvYXHjx/j4MGD8PX1LXQeIqraEhIS8OjRI9y9excA4OTkhNq1a8PT0xPOzs4Gzo6IqgoWq4iIiIioWIcOHcKdO3cwbtw4daEKAOzs7DB79mwMGzYM69atw4IFC4qNs23bNpw5cwazZ88uVKgCALGYl6ZEVVFiYiL27NmD58+fIzk5WeNYy5Yttf59JyIqDq8IiIiIiKhYUVFRAIA+ffoUOqZqO3LkSIlxtmzZAgAYMmQIHjx4gN27dyMtLQ0NGzZEv379eGtQNZQjU+LC3TykZysMnQpVoGvXruHBgwcabU2bNoWlpaVGgZuIqLRYrCIiIiKiYsXGxgKA1tv8HB0dUbNmTXWf4pw9exYAcOzYMUyZMgW5ubnqY87Ozti6dSt69OhRbIzc3FyN50mlUgCATCZT7zSmD6pY+oxZVehz7HvP5WLP+Tz1Y7HIeF9TU33PyzPuM2fOIC4uTj2bqmnTpnj55ZdRq1Yt2NjYFDqHMTHV9xsw3bFz3IYfd1lyYLGKiIiIqIry9PQsd4yPP/4YkydPLrZPeno6AMDe3l7rcYlEgocPH5Z4rqSkJABAUFAQpk2bhg8//BCWlpbYtGkTpk2bhsGDB+PGjRtwdXUtMsbChQu17hoYEREBa2vrEnMoq8jISL3HrCr0MfZraQ0B1IGtOBu24mzUskzBnj1Pyp9cBTLV97y041YqlcjKyoJcLkdcXJzGMalUihs3buDGjRsVkWKFMNX3GzDdsXPchpOdnV3qvixWEREREVVR8fHxsLe3h4ODg07Pv3//PtLS0vSaU3FU29a/+uqr+Oqrr9TtQUFBePToERYtWoS1a9di1qxZRcaYMWMGpk6dqn4slUrh5uaGPn36QCKR6C1XmUyGyMhI+Pn5wczMTG9xqwJ9jl16PAf3rsvQrbUDXm1bG4CHfpKsAKb6npd13BcuXMDevXs12nr37g1bW1s0bty4yrx2pvp+A6Y7do7b8ONWzYYuDRariIiIiKqwKVOm4Msvv9TpuUKhsFT9VDOqVDOs/ksqlRY56+q/cZKTk/Haa68VOjZw4EAsWrRIfatgUSwsLGBhYVGo3czMrEIuwisqblWgj7ELhQW3AIqEwirzOprqe17SuJVKJfLy8tS/B6ytreHg4AB3d3d07ty5stLUO1N9vwHTHTvHbdgcSovFKiIiIiIqlmqtqtjYWLRt21bjWGpqKpKTk/HKK6+UGKdp06ZITk7WOhNM1fb8+fNy50tE+qVUKvHLL78gPj5e3dayZUv069fPcEkRUbVWuq/TtJgyZQquX7+uz1yIiIiIqAxiY2MRFBRU4c/v3r07gIJ1of5L1abqU5yePXsCgNZrSFWbu7t7iXGIqHKkpKRg48aNWLdunUahSiwW8+8qEVUonYtV3333HVq1aoXOnTsjPDy8TAtlEREREVH5NWzYEI6OjhX+/F69esHT0xMbN27ExYsX1e0ZGRmYO3cuxGIxxo4dq25PTk5GTEyMeocwlXHjxsHCwgIrVqzAo0ePNOIsWLAAADB06FCdx0NE+nX16lXExsbiwYMHAACRSITPPvsMM2bMwEsvvWTg7IioOtO5WLVr1y4MGjQIZ8+exTvvvANXV1dMmjQJ586d02d+RERERFRKR48erZC4YrEYYWFhUCgU6Nq1KyZOnIhp06bBy8sL165dQ0hICJo0aaLuv3LlSrz00ktYuXKlRhwPDw8sWbIESUlJ8PLywoQJE/Dhhx+idevWuHjxIiZOnIhevXpVyBiIqPT27duHZcuW4cSJEwAKdh4dMmQI3n//fVhaWpZ6vTsiIl3p/Fumf//+2L59Ox4+fIivvvoKderUwerVq+Hj4wNvb2+sWrWqTCu9ExEREVH5+Pv7Y8eOHRUS29fXF8eOHUOXLl2wdetW/PDDD6hRowY2bNiAL774otRxgoKCsHPnTjRv3hybN2/G2rVrUaNGDfz0009YvXp1heRORKWTlJSE+/fv459//kF6ejpyc3MBFKxb17x5czg5ORk4QyIyFeVeYN3Z2RmffvopPv30Uxw7dgxhYWHYtm0bPvzwQ0ybNg1DhgzBhAkTqvQOEURERERVgYeHB4YMGYLvv/8eEydO1NonMzMTS5YsQWhoaJnj+/j4FNqyXpuQkBCEhIQUeXzgwIEYOHBgmc9PRBXn+vXrhYrdI0eOhEQiQc2aNQ2TFBGZLL3O3+zSpQvCw8OxZ88euLq64vnz5/jll1/QrVs3tGrVCtu2bdPn6YiIiIjoBcePH0fHjh0xadIkzJkzR+NYXl4evv32W3h6emLevHkGypCIjE16ejpSU1Nx8+ZNAIC5uTmcnJzg5eUFT09PODs7QyAQGDhLIjI15Z5ZpZKRkYHffvsNYWFhuHDhApRKJV555RWMGTMGFy5cwK+//oqAgAAsXLgQ06dP19dpiYiIiOj/HBwccODAAbz99tsICQlBYmIili9fjg0bNiAkJAQPHjyAg4MDi1VEpLZhwwakp6erH7du3RoDBgwwYEZERHooVr146192djYcHBzwwQcf4N1330WLFi3U/UJDQ9G7d2+sWLGCxSoiIiKiCmJhYYFt27Zh8uTJ+OGHH7B582akp6fD1tYWX3zxBaZNmwaJRGLoNKmay5crIc1WICdPaehUqAjPnz9HXl4eMjMzAQD16tWDtbU12rZta+DMiIjKUaz65ptvEBYWhlu3bkGpVKJTp06YOHEiAgICYGlpWai/s7Mz3nrrrWLXLyAiIiKi8jt9+jRiYmKgVCqRlpYGFxcXnD9/Hi4uLoZOjUyAQqFEyJZ0PElTGDoVKsLdu3exYcMGKJX/FhMHDRrEtamIyGjovGbVp59+isTERLz//vu4fPkyjh8/jjFjxmgtVKm0bdsWo0eP1vWURERERFSMc+fOYcCAAejcuTMOHTqEESNG4KOPPkJiYiLGjh2LrKwsQ6dIJuB5nlJdqBILATsrAZq7mRk4K3pRQkIClEolBAIBRCIRbGxsYGdnZ+i0iIjUdJ5Z9fPPPyMgIABWVlalfk7//v3Rv39/XU9JRERERMVo3749AKBfv35YuHAhWrduDQBwd3fH1KlT0aNHD+zZswfOzs6GTJNMyPcTHSEUcnFuY3H9+nXExMTg6dOnAP5dn2rPnj0QCvW69xYRUbno/BtJKBQiNja22D5Xr17FL7/8ouspiIiIiKgMOnbsiKioKOzevVtdqAKAjz76CL/99huuXLmCzp07Iy4uzoBZEpGh7N69G1euXEFiYiIAlGniARFRZdK5WDVu3Djs2LGj2D67d+/GuHHjdD0FEREREZXBiRMn0K1bN63Hhg0bhl27diExMRGvvPJKJWdGRIaSnZ2NvXv3Yvv27Xj+/DkAoGvXrhgwYECRvy+IiAxN59sAX1yMryhyuZzTSYmIiIiMRO/evREVFcVt6YlMQF5eHhITE3H27FlcuXJF3S4QCNCxY0dYW1sDAGQymaFSJCIqks7FqtK4cOECnJycKvIURERERFQGL7/8Mo4fP27oNIiogq1fvx6PHz/WaOvTpw9cXFzUhSoiImNVpmJVz549NR6Hh4cjKiqqUD+5XI6HDx8iPj4eQ4cOLVeCRERERKRfnp6ehk6BiCpAbm4uTpw4gezsbDx58gQAYG9vDwsLC/Tp0wcNGzY0cIZERKVTpmLVi4UpgUCA+Ph4xMfHF+onFArh5OSEIUOGYNmyZeVMkYiIiIiIiEpy/fp1REdHa7S98847sLOzM1BGRES6KVOxSqFQqP9fKBQiJCQEX375pd6TIiIiIiIiotJRKpWQSqWQSqUAAGdnZzRv3hy1a9dmoYqIqiSd16w6fPgw3N3d9ZgKGSOFQoG0tDS9xEpLS0Pe83TkZKXqHCMvJ6PEGBZW9hBwYX8iIiIiMhGbN2/GrVu31I+dnZ3Ro0cPwyVERFROOherunfvrs88yEilpaVh3759sLW1LXes1NRU1EAuLLKf6R7EMgnmyCkyRu7zTOTW6A5LG0fdz0FERFQFpaWl4fLly2jatClq166tcezx48e4ffs2vL29kZiYiISEBG5ZT3qnVCrx8JkcaVmKkjuTXjx79gxZWVm4f/8+gIK7X8zMzNC0aVMDZ0ZEVD6lLlb98ssvAIDXX38ddnZ26selMXr06LJnRkbD1tYWEomk3HHy8/NhaWUGS2vdpyLLsm1gbmVbbIw8naMTERFVXTk5OejRoweCgoLw3XffaRybPXs2fvnlFyQlJWHx4sX4+eefIZfLDZQpVVeHr+Zi09FsQ6dhMu7evYtff/1Vo+29996Ds7OzgTIiItKfUherxo4dC4FAgI4dO8LOzk79uDhKpRICgYDFKiIiIqIK5uLiAi8vL+zZs6dQsWrfvn3w8fGBoyNnHlPFSUovKIBaWwhgaymAl7s5hMLiPy9Q2WVkZODevXu4c+cOAMDMzAx2dnaoVasWatSoYeDsiIj0o9TFqp9//hkCgQCurq4AgHXr1lVYUkSmQKmQ4969e+WO4+HhAZFIpIeMiIioquvXrx8WLVqE2NhYNG7cGABw8eJFJCQkYNKkSQbOjkxFjxYWeL2jtaHTqLY2bdqEhIQE9eMmTZrgrbfeMmBGRET6V6aZVS8aM2aMvnMhMilZaY/xzV+ArVOazjEyUx5g+WSgUaNG+kuMiIiqrAEDBuCrr77C3r171cWqvXv3QiAQoH///gbOjoj0ITMzEwBQp04d2NjYwMfHx8AZERHpn84LrBNR+dk6ucG+lqeh0yAiomqiY8eOcHBwwO7duzF58mQABcWqWrVq4eWXXzZwdkSkq+TkZISHhyMrK0vd9uqrr6rveiEiqm6Euj7x0aNHiI6ORnb2v4soKhQKLFq0CJ07d4afnx/27dunlySJiIiIqGQikQi9e/fG0aNH8fz5c6SlpeHkyZPo27evoVMjonJ48OCBRqHK1tYWTk5OBsyIiKhi6Tyzavbs2dixYweePHmibps/fz6Cg4PVj48cOYITJ06gXbt25cuSiIiIiEqlf//++OOPP3Dw4EE8f/4ccrmctwASVROenp544403YGlpyTVLiaha07lYdfLkSfTu3RtmZmYACmZVrVixAs2aNUNERAQSExPRu3dvfP3119i8ebPeEiYiIiKiovXr1w8AsGfPHuTk5EAsFqNPnz4GzoqIdPHPP//g/Pnz6rtZxGIxbGxsDJwVEVHF07lYlZCQgIEDB6ofnz9/HsnJyQgNDUW9evVQr149DB48GEeOHNFLokRERERUstq1a6NNmzbYu3cv8vLy0LFjR9jb2xs6LSLSwcmTJ5GWlqZ+zL/LRGQqdC5WyeVyKBQK9eOjR49CIBCgZ8+e6ra6desiMTGxfBkSERERUZn069cPCxYsgEAgwIcffmjodIioDORyOa5cuYLMzEzk5OQAKPg7Xbt2bdSrV8/A2RERVQ6dF1ivX78+/vnnH/XjHTt2wNXVFU2bNlW3JSYmwsHBQaf4Z86cQf/+/eHo6KjeknXjxo1liqFQKLBy5Uq0bt0aVlZWcHZ2xtChQxEbG6u1/4YNG/Duu++iXbt2sLCwgEAgQHh4eJHxQ0JCIBAItP6xtLQsU65ERERE+vLiGlVcr4qoarl9+zb++usvHDx4UF2scnd3R4MGDbhOFRGZDJ1nVr355puYP38+hgwZAktLSxw7dgwffPCBRp+rV6/C09OzzLGjoqLg7+8Pc3NzDBs2DPb29ti+fTtGjBiB+Ph4zJw5s1Rx3nvvPaxZswbNmzdHUFAQnjx5gi1btiAiIgInTpxA8+bNNfrPmjUL9+7dQ82aNeHq6op79+6V6jxjxoyBu7u7RptYrPNLS0RERFQuHTt2hLu7O6ytreHl5aVxjLuIkb79E5uL2Mf5iE3IN3QqVdrZs2dx9uxZPH/+HABgZ2eHhg0bokaNGnB2djZwdkRElUvnisq0adMQERGBP/74AwDQqlUrhISEqI/fuHEDZ86cwYwZM8oUNz8/H4GBgRAIBIiOjoa3tzcAIDg4GJ06dUJwcDCGDBmCxo0bFxvn8OHDWLNmDbp27YrIyEhYWFgAAEaPHg0/Pz9MmjSp0HpaYWFhaNy4MRo0aICvvvqq1LmPHTsWPXr0KNM4iYiIiCqKUCjE3bt3tR779ttv8e2331ZyRlRd5eUr8fPBLMj/XR0EVhYCwyVUhZ06dQrPnj1TP27SpAleffVVA2ZERGQ4OherJBIJTp06hatXrwIAXnrpJY1pqVZWVvjzzz/Rrl27MsU9dOgQ7ty5g3HjxqkLVUDBNwuzZ8/GsGHDsG7dOixYsKDYOGvWrAEAzJs3T12oAoBevXrB398f+/btw61bt9CkSRP1sd69e5cpVyIiIiIiUyZXQF2o6t/WEjYWAnR5yaL4J5GGlJQUZGZmIi8vDwDg7+8PFxcXuLm5GTgzIiLDKfe9ai1bttTa7u7uXujWuNKIiooCAK1bLKvaSrPDYFRUFGxsbNC5c+dCx1TFqiNHjmgUq3R19OhR/PPPPxCJRGjWrBl69+6tUSAjIiIiIqruXm1rBTMxZ1WVxaNHjxAWFqbRptpZnYjIlBndwkqqxc+13ebn6OiImjVrFrlAukpWVhYSEhLQsmVLrYsQqmKXFKe0vvzyS43Hrq6uWL9+Pfz8/Ip9Xm5uLnJzc9WPpVIpAEAmk0Emk+klN1W8F/9bFvn5+VAqlVAqlXrJRSQERELdY4lFgmJjiISAWCiHWFCwZoLoP/8FADMRIBYq1H10YSwxxEIF5HJ5ofe2PO95VWaq4wZMd+wcN8dtKMaQAxFVfSkpKQAK1ruVSCRwcnKCi4uLgbMiIjK8chWrDhw4gKVLl+LMmTNIS0uDQqEo1EcgECA/v/QfxtPT0wEA9vb2Wo9LJBI8fPiw3DFe7KerNm3aYP369ejevTtq166Nhw8fYvPmzViwYAFee+01nDp1qtCipi9auHAhQkNDC7VHRETA2tq6XLlpExkZqfNzVYW08hCJROjlZQOgHBf4jVz//z9FxbAAcKNQq5/rmX8f1BECSPj/Hx0ZTQwgJiYBMTExWg+X5z2vykx13IDpjp3jNi3GMO7s7GxDp0BEVdiVK1dw7tw5ZGZmAgDc3NwwevRoA2dFRGQ8dC5W/fHHHwgICIBCoUCDBg3QrFkzk9sBb/DgwRqPGzVqhFmzZqF27dqYOHEi5s2bh99//73I58+YMQNTp05VP5ZKpXBzc0OfPn3UBTV9kMlkiIyMhJ+fH8zMzMr03NTUVJw8eVIv+aSmpiLqag4sbRx0jpHx7D7MLCVFxnienYlM6zawtC44LhLkw8/1DCIT2kOuLPj5fHzrOGwc68Le2V3nPIwlRvrTeAQH2BfadbM873lVZqrjBkx37Bw3x20o+vgSR1+OHDmC7t27GzoNIiqDY8eOISkpSf1Yn9f+RETVgc7VpTlz5sDKygp//fUXevbsqbeEVLOhipr1JJVKi5wxVZYYL/bTtzFjxuD999/H8ePHi+1nYWGhdW0rMzOzCrkI1yWuWCyGQCCAQKCf9QcKFuHUPVa+XAlhMTHkCiBfIUK+UvNHW64Uq9tkciBfISzUpyyMJUa+QgiRSFTk+1pRP0vGzlTHDZju2Dlu02IM4zb0+V/k7++Pn3/+GW+//bahUyGiYshkMkRFRSEjIwNpaWkAgB49esDFxQUeHh6GTY6IyMgIdX3izZs3MWzYML0WqoDi15NKTU1FcnKy1vWsXmRjYwNXV1fExcVBLpcXOl7culj6YG5uDjs7O94iQERERBWuZs2aGDVqFBYuXFjq58THx1dcQkSkVVxcHE6cOIErV66od/576aWX0LRpU5ibmxs4OyIi46JzsapmzZoVsq6Sahp7REREoWOqttJMde/evTuysrK0zm7av39/qePoIjY2FqmpqTrthkhERERUFqdPn0bLli0xa9YsvPvuu1rXEFW5desWxo4di6ZNm1ZihkQEQL2Or6OjI/r06YOAgADUqlXLwFkRERknnYtVQ4cOxYEDB8q0eHpp9OrVC56enti4cSMuXryobs/IyMDcuXMhFosxduxYdXtycjJiYmKQnJysEWfixIkAgFmzZqm/uQCAgwcPYv/+/ejWrRuaNGmic54ZGRm4fPlyofbU1FS88847AIDhw4frHJ+IiIioNOrWrYtjx46hV69eWLNmDQYOHIisrCyNPpcvX0ZAQABatGiBX375Bc2bNzdQtkSm58KFC/jxxx/VX5hLJBJ06tQJzZo1M3BmRETGS+fFcubNm4d//vkHAQEB+Pbbb1G/fn39JCQWIywsDP7+/ujatSuGDx8OiUSC7du3Iy4uDvPmzdMoMq1cuRKhoaEIDg5GSEiIut3X1xeBgYEICwuDt7c3BgwYgCdPnmDLli2QSCRYtWpVoXOHhYXh2LFjAAp26FC1RUVFAShYUF21qPqzZ8/g5eWFdu3aoVWrVqhVqxYePXqEvXv34tmzZ/Dz88OUKVP08poQERERFcfOzg579+7FhAkTEB4ejm7dumH37t24f/8+5s+fj127dkGpVMLHxwdffPEFBg4caOiUqRpIlsqRnq00dBpG7/Tp03jy5In6sYODg+GSISKqInQuVrVs2RIymQwnT57Ejh074ODgoHXBcoFAgDt37pQptq+vL44dO4bg4GBs3boVeXl5aNGiBebOnYsRI0aUOs7q1avRunVrrF69GsuXL4etrS0GDhyI+fPna51VdezYMaxfv16j7fjx4+pbCd3d3dXFKicnJ3zwwQc4deoU/v77b6SlpcHGxgatWrXCyJEjERgYCJFIVKZxExEREelKJBLh559/hoeHB4KDg9G0aVNkZmZCqVSie/fu+OKLL9C7d29Dp0nVxImYXKw7lFVyR4JSWVDQ6927N+rWrYt69eoZOCMiIuOnc7FKoVBALBZrzKhS/SJ+kba20vDx8cHevXtL7BcSEqIxo+pFQqEQQUFBCAoKKtU5w8PDER4eXqq+EokEK1euLFVfIiIiosqwf/9+REZGAihYskAgEGDevHmYOXOmgTOj6uZRSsEmRuZiwMJMgJb1zWAm1s/u0dVBXl4e/v77b0ilUqSkpAAAXF1duaYtEVEp6Vys4i4yRERERMbhzz//xPz583HhwgUAwJtvvokBAwZgypQpmDt3Ljw9PTFs2DADZ0nVkW9LS7z1iv43Xarq4uPjcfXqVY02Ozs7A2VDRFT16FysIiIiIiLDa9myJW7cuAGhUIgRI0Zg5syZ6oWb27Vrh379+mHkyJF48OABPv30UwNnS1S9SaVSxMbGIiEhAQBQo0YN9OzZEw4ODnB2djZwdkREVYdeilXXr19HTEwMsrKyMGrUKH2EJCIiIqJSiI2NxTvvvIMZM2bAw8ND41jLli1x6tQp9O/fH59//jnu3buHFStWQCDg7VpEFWHnzp0a6/Xa2dlx900iIh2Uq1h15swZTJgwQb1zHgB1sSo6Ohp9+/bF5s2b8dprr5UvSyIiIiLS6u7du6hbt26Rx+vWrYtjx47h9ddfx6pVq/Do0SNs2rQJlpaWlZglUfWlVCoRGxsLqVSKp0+fAgDc3NxgZ2eH9u3bGzg7IqKqSedi1bVr19CzZ08IhUJMmTIFMTExGguid+3aFTVr1sTvv//OYhURERFRBSmuUKViZ2eHffv2Yfz48diwYQN8fX1x8uTJSsiOqPp7/PgxNm3apNHm6+tbaKYjERGVns7FquDgYADAuXPn0KhRI4SGhmoUqwQCATp16oQzZ86UP0siIiIiKhexWIxffvkF9erVw6JFiwydDlG1kZWVBQCwtLSEh4cHJBKJxo7pRERUdjoXq44cOYI333wTjRo1KrJP/fr1sW/fPl1PQURERER6tmDBAs74INKDU6dOITo6Gvn5+QAAJycnDB061MBZERFVDzoXqzIyMlCrVq1i++Tk5EAul+t6CiIiIiKqABMmTDB0CkRVllwuR35+Pi5fvoznz5+r211cXAyYFRFR9aJzscrNzQ1Xr14tts+5c+fQsGFDXU9BRERERMV4++238dZbb+GNN94wyPOJTE1GRgZ+/PFHZGdnq9sGDBiAhg0bwsHBwXCJERFVM0Jdn/jqq68iIiIChw4d0np869atOHXqFAYPHqzrKYiIiIioGJs3by7xy8OKfD6ZFqVSiWV/Z2DCDymIuJhj6HQMIikpSaNQZWNjgyZNmsDR0RECgcCAmRERVS86z6yaOXMmtm3bhn79+mHMmDFISEgAAPzwww84efIkNm3aBHd3d0ydOlVvyRIRERGRposXL+KXX34xdBpkAmRy4NoDmfqxUAB41tb540SVVrt2bQQGBkIoFEIo1Pn7fyIiKoLO/7o4OzvjyJEjGDVqFMLCwtTtH374IQCgQ4cO2LRpE+zt7cufJRERERFptWPHDuzYsaNQe0mzPJRKZQVlRKZgwUh72FoKYWVuGrOJLly4gKNHjyI3NxdAwd8vsdg0C3VERJWhXL9hPT09cfz4cVy4cAGnT59GSkoKJBIJOnTogPbt2+srRyIiIiLSYt26deWO0aZNm/InQibHzkoISzPTKFQBBTMYU1NT1Y9r1KhhwGyIiKo/vXwd4O3tDW9vb32EIiIiIqJSGjNmDADg/PnzCA8Px9OnT9GgQQMMHz4cXl5eBs6OqPpQzUTs3bs3PD09Ubt2bQNnRERUvZW6WDV+/HidTiAQCLB27VqdnktERERExTt9+jS6d+8OmUym/kD9zTffYMmSJfj4448NmxxRFZabm4vw8HCkpqYiLy8PAODk5ARXV1cDZ0ZEVP2VulgVHh6utV0gEGhd80DVzmIVERERUcWZO3cu8vLy8M4776Br1664desWVq5ciWnTpqFz5856XZrhzJkzCA4OxsmTJ5GXl4cWLVrg448/xttvv61TPJlMhvbt2+PSpUto2rQpYmJi9JYrka4yMzMRFxeHpKQkJCYmqttFIhGcnZ0NmBkRkekodbEqLi5O47FCocBHH32EU6dO4aOPPkLXrl1Ru3ZtPHnyBNHR0Vi+fDk6deqEb7/9Vu9JExEREVGBCxcuwM/PD2vWrFG3jRw5El5eXvj++++L/MKxrKKiouDv7w9zc3MMGzYM9vb22L59O0aMGIH4+HjMnDmzzDHnzp2L27dv6yU/In2JiIjQKJw6OzsjICAA1tbWsLKyMmBmRESmo9TFqgYNGmg8/uqrr3D69GlcunRJYyps06ZN0a1bN4wbNw7e3t7Ytm0bpk+frr+MiYiIiEgtMTER48aN02hr1qwZBg4ciGPHjunlHPn5+QgMDIRAIEB0dLR6rdLg4GB06tQJwcHBGDJkCBo3blzqmOfPn8fChQuxdOlSTJ48WS95EulDdnY2AKBu3bqwt7eHt7c3F1QnIqpkQl2fuHbtWgwdOrTIe7br1q2LoUOHanzLR0RERET6pVQqYW5uXqi9cePGePz4sV7OcejQIdy5cwdvv/22xqY6dnZ2mD17NvLz88u0M2FeXh7Gjh2Ljh074sMPP9RLjkTl9ejRI6SmpiIrKwsA0KlTJwwZMgSNGjUycGZERKZH590AHz58CEtLy2L7WFpa4uHDh7qegoiIiIh0ZGlpidzcXL3EioqKAgD06dOn0DFV25EjR0odLyQkBLGxsbh06RIEAoFecqSKk5KpwJ5zz5GVU3id2uri2bNnWL9+vUabUKjz9/pERFROOher6tWrhz///BNz587VWrTKzs7Gn3/+iXr16pUrQSIiIiIq3ooVK3D+/Hm0b98e7dq1Q7t27fQaPzY2FgC03ubn6OiImjVrqvuU5MyZM1i8eDEWLFiAJk2alDmX3NxcjSKcVCoFULBYu0wmK3O8oqhi6TNmVfHfsUdfzcWRa3nq4xZiQCmXQYbqU2hMS0sDULBJlJubGyQSCdzc3Ezi/TfVn3VTHTdgumPnuA0/7rLkoHOxKjAwEDNmzEDnzp3x5ZdfokuXLqhRowaePXuGo0ePYs6cOYiPj8fChQt1PQURERERlaBly5aIiYnBzp07sXPnTvVMJdVC0F9//TVat24NLy8v1K5dW6dzpKenAwDs7e21HpdIJKWaTZ+bm4uxY8fC29sbn3zyiU65LFy4EKGhoYXaIyIiYG1trVPM4kRGRuo9ZlWhGntMujsANziZp8PFKhmOZhmI2J9h0Nz0SS6Xq2/9Mzc3h5OTEwDg4MGDhkyr0pnqz7qpjhsw3bFz3IajWhOwNHQuVn366ae4desW1q1bhzfeeANAwVRZhUIBoGD9hHHjxuHTTz/V9RREREREVILLly8jNzcXly5dwvnz53Hu3DmcP38eV69ehVKpxPTp09UFrFq1asHLywtt2rTBV199Vem5zp49G7GxsTh37hxEIpFOMWbMmIGpU6eqH0ulUri5uaFPnz6QSCT6ShUymQyRkZHw8/ODmZmZ3uJWBf8de94/ubhzKQ9tmtTEW52q110TJ06cUN/mqmJq77mp/qyb6rgB0x07x234catmQ5eGzsUqoVCItWvXYvTo0Vi/fj0uX76M9PR02Nvbw8vLC6NHj0b37t11DU9EREREpWRhYQEfHx/4+Pio22QyGS5fvqxRwLpy5QoiIiIQGRlZpmKVakaVaobVf0ml0iJnXamcP38eS5cuxezZs9GqVatSn/u/LCwsYGFhUajdzMysQi7CKypuVaAau0hYcNuGUCisFq9Ffn4+Nm7ciJSUlEI/0xKJxGTfc47b9Jjq2Dluw+ZQWjoXq1S6d+/OohQRERGRkTEzM0Pbtm3Rtm1bTJgwAUDBh/Rr167h3LlzZYqlWqsqNjYWbdu21TiWmpqK5ORkvPLKK8XGuHz5MuRyOUJCQhASElLo+M2bNyEQCGBvb69eP4hIny5evIjIyEitt6GMHTsWtWvXxv79+w2QGRER/Ve5i1VEREREVDWIxWJ4eXnBy8urTM/r3v1/7d13fFNV/wfwT9qkSWfoAMpoKWWIbJQhssooRYagMmVVLAgiKKAgiLQVAQVFHkABKUvZIj8cCLSMtuwhQ0DBMspehbbpbtqc3x99koeQtE3btEmbz/v14qU999xzvyc34+Sbe8/phHnz5iEyMhKDBw/W2xYZGamrU5D69evj7bffNrpt1apVUCqV6N+/f6nMO0W27fHjx3jy5AlOnjypl6hSKpUYOHAgnJ2doVQqrWLyYSIiysNkFREREREVqGvXrvD398fGjRsxceJENG/eHACQkpKC2bNnQyqVIjg4WFc/ISEBCQkJ8PLygpeXFwDg5Zdfzvfqq1WrVsHb2xsRERGl3RWyMSkpKfj2228hhNCVBQYGokGDBnB3d9fN50ZERNbFztIBEBEREZF1k0qliIiIgEajQYcOHTBmzBh8+OGHaNasGS5evIiwsDDUr19fV3/p0qV4/vnnsXTpUgtGTbbs77//xpIlS7Bw4UJdoqp69eqoV68emjVrBg8PDyaqiIisGK+sIiIiIqJCde7cGYcOHUJoaCi2bt2K7OxsNGrUCLNnz8bQoUMtHR6VgjPX1Yi7l41rD3IsHUqR/fXXX3jy5Inub39/fwwfPtyCERERUVEwWUVEREREJmndujV27dpVaL38JlHPz9O3aJF1EAJYeyAT6tz/lTnKrfumDCEEfv/9dyQkJODhw4cAgA4dOqBBgwaoWrWqhaMjIqKiYLKKiIiIiIj0CECXqApqoYCrQoL2z8stGlNhHj16hNOnT+uV+fj4oHr16haKiIiIiovJKiIiIiIiytcrLRRwVljvVVUPHjzAsWPHkJqaCgCQy+V49dVX4ezsDF9fXwtHR0RExcFkFRERERERlTunTp3CgwcPcOrUKb1yNzc3NGzY0EJRERGROTBZRURERERE5UpSUhJ27typV1a9enU0adIEderUsVBURERkLkxWERERERFRuXDt2jXs27cPmZmZAACpVIp27drByckJL7zwAqRSfr0hIqoI+G5ORERERERW7cKFC3jw4AEOHTqkV16lShUEBARYJigiIio1TFYREREREZHVSklJwc8//6xX1rhxY7Ro0QI1atSwUFRERFSamKwiKseEJhc3btwwKM/NzVtr+tq1a7C3ty+0ndq1a5tUj4iIiKis/PXXX/jtt9+Qk5MDALC3t0fLli3h5OSENm3aQC6XWzhCIiIqLUxWEZVjaUl38fUvgItHkl651E6DQc2A8C3JyNEUvNR06pNbWDwRqFu3bilGSkRERGSaBw8e4OHDhzh16pQuUQUA/v7+6NGjhwUjIyKissJkFVE55+LhA2UVf70yqSQHwD0oK/shR/BlTkRERKa5n5SLzQfTcTehqUWOn5mZiZUrV+quEgeALl264IUXXoCTk5NFYiIiorLHb7FERERERAQAOBmXjYu3cgEoAQCODhI4yCSlftzLly/j999/R2pqqq6sdu3acHJyQrNmzeDs7FzqMRARkfVgsopMotFokJSUVKI28vZXmCMcIiIiIioFGiEAAJXlT9CvQ3X4VZVDZl96yaqkpCQ8evQIJ06c0EtU+fj4YMSIEaV2XCIism5MVpFJkpKSsOv4Azg4KovdRlriYzi7c8UWIiIiImvnLM1Ei9oyyGSltwBLdnY2vvvuO6jVal1Zu3bt0KJFC7i7u5facYmIyPoxWUUmc3BUQuFc/IFDdkayGaMhIiIiovLo7t272L9/PzIyMnSJqurVq0OhUODFF19kooqIiJisIiIiIiKi0nft2jXcvXsX+/bt0yuvVKkSRo8ebaGoiIjIGjFZRUREREREpSorKwsbNmyARqPRldWsWRNt27ZFzZo1LRgZERFZIyariIiIiIioVNy+fRt79uxBZmamLlHVvHlzKBQKtG/fnqv8ERGRUUxWERERERGRWQkhkJ2djTNnzuD27du68kqVKqFv374WjIyIiMoDO0sHkJ+TJ0+iZ8+ecHd3h7OzM1q3bo2NGzcWqQ2NRoOlS5eiadOmcHR0ROXKlTFw4EDExcUZrb9+/Xq88847aNmyJeRyOSQSCdauXVvgMVQqFSZPnoxatWpBLpejVq1amDx5MlQqVZFiJSIiIiKylDPXsrEhJg3nb6gLr1wIIQRWrlyJL774AqdPnwYANG3aFMOHD+fcVEREZBKrvLIqOjoaQUFBcHBwwODBg6FUKrF9+3YMHToU8fHxmDFjhkntjB07FitXrkTDhg0xYcIEPHjwAFu2bEFkZCSOHDmChg0b6tWfOXMmbty4AS8vL1SrVg03btwosP20tDR06tQJZ8+eRWBgIIYMGYJz587hm2++wYEDB3Do0CFe2kxEREREVi9ibyqyc/73t9QuJ//K+UhKSsLBgwehUqlw7949XblMJkPz5s1Ru3Ztc4RKREQ2wOqSVTk5OQgJCYFEIkFsbCxatGgBAAgNDUXbtm0RGhqKAQMGoF69egW2c+DAAaxcuRIdOnRAVFQU5HI5AGDEiBEIDAzEuHHjEBMTo7dPREQE6tWrh1q1auGLL77A9OnTCzzG/PnzcfbsWUydOhVffvmlrjw0NBSfffYZ5s+fj/Dw8OI8DEREREREZUabqOreXAFnB4G0m3cANCpSG6dOndJdSQUAUqkUU6dOhb29PezsrPaGDiIiskJW96mxf/9+XL16FW+++aYuUQUArq6u+PTTT5GTk4M1a9YU2s7KlSsBAJ9//rkuUQUAXbt2RVBQEGJjY/Hvv//q7dOtWzfUqlXLpDiFEIiIiICLiwtmzZqlt2369Olwd3fHqlWrIIQwqT0iIiIiIksLaq5AYDMHONgXfmVVTk4OsrKy8NNPP2HRokU4efIkAKB27dro3r073nrrLchkMiaqiIioyKzuyqro6GgAQPfu3Q22acuevSIqv3acnZ3Rrl07g21BQUHYvXs3YmJiUL9+/WLFGRcXh7t37yIoKMjgVj+FQoGOHTvil19+wZUrVwq9CoyIiIiIqDy5dOkSfvrpJ90Kf09r1qwZmjVrZoGoiIioorC6ZJV28nNjCR53d3d4eXnlO0G6VlpaGu7du4fGjRvD3t7eYLu27cLaKW6czx4jvzpZWVnIysrS/a2dlF2tVkOtLvnkllratorTZk5Oju7qMHs7wN6u+FeKSe0lpd6GvR0gtcuFVJL3a6D9M/8FAJk9ILXT6OoUh7W3Yazf+ZHaaZCbm2vW55yllOS5Xt7Zat/Zb/bbUqwhBiJLiIuLw82bN3H9+nW9RJWjoyOGDh0KhUIBT09PC0ZIREQVgdUlq5KTkwEASqXS6HY3Nze95W+L28bT9YrDHMeYN2+e0TmtIiMj4eTkVOzY8hMVFVXsfe3t7dG1mTOAEgzO61b77/+UZhtyAP8YlAZWO/m/P6rbAbj333/FVE7a0Ot3vm0Aly7dw6VLl4ofh5UpyXO9vLPVvrPftsUa+p2enm7pEIjKTG5uLq5evYqMjAzs2LFDb1vHjh3RoUMH2NvbQyKRWCZAIiKqcKwuWWVLpk+fjsmTJ+v+VqlU8PHxQffu3XXJLnNQq9WIiopCYGAgZDJZkfZNTEzE0aNHkZubi+gLmVA4Vyp2HCmPb0KmcCvVNjLSU5Hq1BwKp7zt9pIcBFY7iah7rZAr8p7ud/89DGf3GlBW9it2HNbehrF+5yf5UTxCBynh7+9f7DisRUme6+Wdrfad/Wa/LUV7NTSRLTh16hR2796tV/biiy/C2dkZrVu3hlTKrxRERGReVvfJor1SKb8rklQqVb5XMxWljafrFYc5jiGXy/Umf9eSyWSlMggvTrtSqVT3K1muBsjVFP8Xs5xcAbtSbiNXA+Ro7JHzTIImV0h1ZepcIEdjZ1CnKMpLG0/3Oz85GjvY29tb/IufOZXWa6g8sNW+s9+2xRr6benjE5UF7fyrT09bUbt2bdSuXRsdOnSwYGRERFTRWV2y6um5nl588UW9bYmJiUhISMDLL79cYBvOzs6oVq0arl+/jtzcXIN5qwqbb6qocRpjjmMQEREREZUmdY5AzlNzpGdmZuDMyVO4e/cuHj58qFe3b9++aN68edkGSERENsnq1pHt1KkTgLx5m56lLdPWKaydtLQ0HD582GDbnj17TG4nP/Xq1UP16tVx+PBhpKWl6W3LzMxEbGwsqlevjrp16xb7GEREREREpeWf22q8vyoREyMS4aC+D9f0P7Em4ltER0frJareeecdTJ48mYkqIiIqM1aXrOratSv8/f2xceNGnD17VleekpKC2bNnQyqVIjg4WFeekJCAS5cuISEhQa+dMWPGAABmzpyJ7OxsXfm+ffuwZ88edOzYEfXr1y92nBKJBCEhIUhNTcVnn32mt23evHlITExESEgIJ5okIiIiIqt09X4O1Ll5/++V/CuUaUeQmZGh296qVSsMGDAA3t7ecHV1tVCURERki6zuNkCpVIqIiAgEBQWhQ4cOGDJkCNzc3LB9+3Zcv34dn3/+uV6SaenSpQgPD0doaCjCwsJ05Z07d0ZISAgiIiLQokUL9OrVCw8ePMCWLVvg5uaGZcuWGRw7IiIChw4dAgCcP39eVxYdHQ0A6NevH/r166erP3XqVPz666+YP38+zpw5gxdffBHnzp3Drl270Lx5c0ydOtX8DxARERERkRlkZ6jgodoPT+ccZIi8eakaN24MuVyOjIwMq1jMgIiIbJPVJauAvETToUOHEBoaiq1btyI7OxuNGjXC7NmzMXToUJPbWbFiBZo2bYoVK1Zg8eLFcHFxQZ8+fTBnzhyjV1UdOnQI69at0ys7fPiw7lZCPz8/vWSVs7MzoqOjER4ejm3btiE6Ohre3t6YNGkSQkND4ezsXLwHgIiIiIiolBw5cgSXL1/GzZs34QQg47/zp0ulUrz66qsAgD/++MNyARIRkc2zymQVALRu3Rq7du0qtF5YWJjeFVVPs7Ozw4QJEzBhwgSTjrl27VqsXbu2CFHmrfa3cOFCLFy4sEj7ERERERGVFY1Gg2vXriEjIwNRUVF626QKN/TsHgBvb2/IZDKo1WoLRUlERJTHapNVRERERERUMo8ePcKNGzdw9uxZ3LlzR2+bb+NAnL6pQKtmddGihZuFIiQiIjLEZBURERERUQW1YcMGJCcn65XV8qsNV/fqSHVthswHWZDY2VsoOiIiIuOYrCIiIiIiqqDS0tIAAHXq1IGTkxM6dOiAxVEy3L+tAZA3WZUdF68mIiIrw2QVEREREVEF17t3b1SqVAkA8Ej1BADg5WYHhUyCVvUcLBgZERGRISariIiIiIhs0LTX3FDJ2c7SYRARERngpxMREREREREREVkNJquIiIiIiIiIiMhqMFlFRERERERERERWg8kqIiIiIiIiIiKyGpxgnYiIiIioAsnMzMSRI0eQkZGB3NxcAECuRuDCzWykZQlohIUDJCIiKgSTVUREREREFcj58+dx8OBB3d8SiQR/3ZJg4+FUvXp2krKOjIiIyDRMVhERERERVSBqtRoAULVqVTRo0ADVqlXD1VQ5gAwonSSo7mEP/6pSuDlxRhAiIrJOTFYREREREVVA3t7eCAgIAABc/TMDANDYV4bgLi4WjIqIiKhw/DmFiIiIiIiIiIisBpNVRERERERERERkNZisIiIiIiIiIiIiq8E5q4iIiIiIKighBDLVgDpXWDoUIiIikzFZRURERERUQS39IxV/3VBbOgwiIqIi4W2AREREREQV1KU7/0tUSe2A52vKLBgNERGRaXhlFRERERFRBXDw4EFcuHAB6enpBttmv6mEl6sdpPYSC0RGRERUNExWERERERFVAIcPH0ZWVpbub6VSCTzM+3+ZPZioIiKicoPJKiIiIiKiCkCIvEnU+/btCw8PD9SsWRPb4pIsGxQREVExcM4qIiIiIjLJyZMn0bNnT7i7u8PZ2RmtW7fGxo0bTd7/0KFDmDJlCl588UV4enpCoVCgQYMGmDZtGpKSkkovcBvj6+sLX19f2NlxqE9EROUTr6wiIrIgjUZjli9oOTk5AIDExERIpaX31l6pUiV++SGyUdHR0QgKCoKDgwMGDx4MpVKJ7du3Y+jQoYiPj8eMGTMKbaN///5ISEhA+/btMWLECEgkEkRHR2P+/Pn4+eefceTIEVSpUqUMekNERETWjMkqIiILSkpKwu7du+Hi4lKidrS3fhw9ehQSSenMSZKamooePXrAw8OjVNonIuuVk5ODkJAQSCQSxMbGokWLFgCA0NBQtG3bFqGhoRgwYADq1atXYDuTJk3CiBEjUK1aNV2ZEALjx4/HsmXLEB4ejm+//bZU+2ILsrIF9pzJQFqWQE6upaMhIiIqOiariIgszMXFBW5ubiVqQwgBlUoFNze3UktWEZHt2r9/P65evYq33npLl6gCAFdXV3z66acYPHgw1qxZg7lz5xbYzrRp0wzKJBIJPv30UyxbtgwxMTFmj90Wnb2Rje1//u+zQALAQcrPBiIiKj+YrCIiIiKiAkVHRwMAunfvbrBNW1aSRJNMJgOAUr2N2ZZkZ+ddbetdyQ6NfWWoVVkKV0fewk1EROUHRwREREREVKC4uDgAMHqbn7u7O7y8vHR1imP16tUAjCfDnpWVlYWsrCzd3yqVCgCgVquhVquLHcOztG2Zs82ykis0AIBale3wehsHAEXrR3nue0mw3+y3rbDVvrPflu93UWJgsoqIiIiICpScnAwAUCqVRre7ubnh9u3bxWr77NmzCA8PR5UqVTB16tRC68+bNw/h4eEG5ZGRkXBycipWDAWJiooye5ulRbvYxrWrVwE0wZ3bd/DHH/8Wu73y1HdzYr9ti632G7DdvrPflpOenm5yXSariIiIiMgirl+/jt69eyM3NxebN2+Gl5dXoftMnz4dkydP1v2tUqng4+OD7t27l3j+v6ep1WpERUUhMDBQd5uitfv777+RnZ0N/zp1cPkCUKNmDfQMqFvkdspj382B/Wa/bYWt9p39tny/tVdDm4LJKiIiIiIqkPaKKu0VVs9SqVT5XnWVnxs3bqBz58549OgRfv75Z3Tu3Nmk/eRyOeRyuUG5TCYrlUF4abVbmuwlefNT2dnZlSj28th3c2C/bYut9huw3b6z35aNwVScaZGIiIiICqSdq8rYvFSJiYlISEgwOp9VfuLj4xEQEIC7d+9i69at6N27t9litWW5eVNV4dTVbMsGQkREVEJMVhERERFRgTp16gQgb16oZ2nLtHUKo01U3blzB1u2bEHfvn3NF6gNevz4MVasWIFFixYhNycvSfUoJS9r5cYVAImIqJziJxgRERERFahr167w9/fHxo0bcfbsWV15SkoKZs+eDalUiuDgYF15QkICLl26hISEBL12nk5Ubd68Ga+99loZ9aDiunLlCu7fv6+7RVMjcUCv1p4ICXRG75aOFo6OiIioeDhnFREREREVSCqVIiIiAkFBQejQoQOGDBkCNzc3bN++HdevX8fnn3+O+vXr6+ovXboU4eHhCA0NRVhYmK48ICAAN27cwEsvvYS//voLf/31l8Gxnq5PhRNCAADq1KmDP5NfRJpQok0DF1RR2ls4MiIiouJjsoqICqXRaJCUlGTpMAqlXbI7MTERXl5esLPjxaNERObSuXNnHDp0CKGhodi6dSuys7PRqFEjzJ49G0OHDjWpjRs3bgAAjh07hmPHjhmtw2RV8Tg6OiInoyqE2tKREBERlRyTVURUqKSkJOzevRsuLi6WDqVA2l+X9+7dix49esDDw8PCERERVSytW7fGrl27Cq0XFhZmNOmkfZ8mIiIiKgiTVURkEhcXF7i5uVk6jAIJIaBSqeDs7GzpUIiIiIiIiKiYeI8MEREREVE5pfnvxWoPk3ORo7FsLERERObCK6uIiIiIiMqZ7Oxs3L9/H//G5624GP8wFzn/vQBayp+jiYionGOyishChNAgOyMZmWmJxW4jOzPFaBtSu1wAQGZ6EnI0Ba8GlJ2RjKQk4MmTJ/nWSUxM5DwjREREVuSHH37AnTt3dH87SCV4wV8GHy8pPFy5EiAREZVvTFYRWYg6Kw2edrfgmv64+I0oHsIBmZA/04a9HQDI4ZJ+FrmF3BLggCRcvCjH3bt3861z//59VKpUqfhxEhERkVlpf2SSO7ohJVsG71qNMa6Hq4WjIiIiMg8mq4gsSK5wgqNT8QeW6nRnODi6QPFMG/Z2AoAajk4uyNVICmxDInLg6qoocPL0lJSUYsdIREREpafhywPx21+O8KvkYOlQrJJarUZubq7JdaVSKTIzM03epyJgv22r34Dt9p39Nn+/7e3tIZPJzNqmFpNVRERERERUoahUKiQkJCArK8vkfYQQ8Pb2xq1btyCRFPxjX0XCfttWvwHb7Tv7XTr9lsvl8PLyMvvK8UxWERERERFRhaFSqXDnzh24uLjAy8sLMpnMpC9oGo0GqampcHFxgZ2d7cxSz37bVr8B2+07+23efgshoFarkZycrJtD0ZwJKyariIiIiIjKmZzcvIVPTl3NBuBo2WCsTEJCAlxcXFCzZs0iXUWg0WiQnZ0NhUJhc19k2W/b6Tdgu31nv83fb0dHR7i6uuL27dtISEgwa7LKds4QEREREVEFkZWT999HyXnzj7g52s4tLQVRq9XIysqCUqm0qdt8iIgsRSKRQKlUIisrC2q12mztWu2VVSdPnkRoaCiOHj2K7OxsNGrUCB988AHefPNNk9vQaDT47rvv8P333yMuLg4uLi7o3Lkz5syZg3r16pX4uGFhYQgPDzfajlwuR2ZmpsmxEhFZO41Gg8TEREuHoScnJ+/bWmJiIqRSw4+0SpUq2dQvZ0RUseXk5OCvv/5Ceno6JCLv/a9rUwV8qjujqR8nWAegmzy4tCb8JSIiQ9r33NzcXLO9/1plsio6OhpBQUFwcHDA4MGDoVQqsX37dgwdOhTx8fGYMWOGSe2MHTsWK1euRMOGDTFhwgQ8ePAAW7ZsQWRkJI4cOYKGDRua5bgjR46En5+fXpmxL01EROVZWloaYmJi4OXlZelQdITIuw3m6NGjBr+gp6amokePHvDw8LBEaEREZvfPP//gt99+AwBo3/Ga1nZE/VpyywVlpXhVFRFR2SmN91yry6jk5OQgJCQEEokEsbGxaNGiBQAgNDQUbdu2RWhoKAYMGJDvlVFaBw4cwMqVK9GhQwdERUVBLs/7EB8xYgQCAwMxbtw4xMTEmOW4wcHBCAgIMNMjQERkvVxcXMy+0kdJCCGgUqng5ubGLyZEVOFlZGQAAJRKJR6qayBD4glXt0qWDYqIiKgUWN29Efv378fVq1fx5ptv6hJGAODq6opPP/0UOTk5WLNmTaHtrFy5EgDw+eef6xJVANC1a1cEBQUhNjYW//77r9mPS0RERERUmmrUqIF0j25IdWpu6VCIiIhKhdUlq6KjowEA3bt3N9imLXv6iqiC2nF2dka7du0MtgUFBRm0U5LjHjx4EPPnz8fXX3+NnTt3Iisrq9D4iIiIiIiIKE9wcDAkEgni4+MtHYpZrF+/Hs2bN4eLiwskEgnCwsIKrC+RSHi3TimKjo6Gvb09vvjiC5P38fPzM5jupygq2nO6rFndbYBxcXEAYPR2O3d3d3h5eenq5CctLQ337t1D48aNYW9vb7Bd2/bT7ZTkuLNmzdL7u1q1ali3bh0CAwMLjDMrK0svsaVSqQDkrWJizln0tW0Vp82cnBzdnDD2doC9nSh2HFJ7Sam3YW8HSO1yIZXkTTpq/8x/AUBmD0jtNLo6xWGWNqTa/pj/8bCXiP/9t5CUtP1/t2vPc0FMqWNJT8eXk5Nj1tdRadG+xkr62Gr3L4tzZE3Pg4L6LYQoN8+DoirJ+3p5Zk39toYYiIiMiY+PR+3atQEAvXr1wu+//25QJzo6Gp07d8Y777yD7777rqxDrPCOHDmC4cOHo169ehg/fjwcHR2ZiCKrExAQgJiYGNy7dw/e3t5G6zRo0ACXL1+2yPjf6pJVycnJAPLuxTfGzc0Nt2/fLnEbT9cr7nGbN2+OdevWoVOnTqhatSpu376NzZs3Y+7cuXj11Vdx7NgxNGvWLN84582bZ3Q1wcjISDg5ORXQw+KJiooq9r729vbo2swZQAkG53Wr/fd/SrMNOYB/DEoDq5383x/V7QDc+++/YjJLG9rnWuk9Hi/VMSWZ5gzgf8lSY1xcXAqtY22OHj1q6RCKxFyPbUpKilnaMcaanwf59bu8PQ+KqiTv6+WZNfQ7PT3d0iGQDUrLyvuycPGmGulO1vPDAVmvnTt3IjY2Fh07drR0KDbljz/+AAD88MMPeOmllywcDRXXvn37LB2CTbO6ZFV50q9fP72/69ati5kzZ6Jq1aoYM2YMPv/8c/z000/57j99+nRMnjxZ97dKpYKPjw+6d+9u1gmM1Wo1oqKiEBgYWORlJBMTE3H06FHk5uYi+kImFM6Vih1HyuObkCncSrWNjPRUpDo1h8Ipb7u9JAeB1U4i6l4r5Iq8p/vdfw/D2b0GlJX9ih2HOdqIP78bvpWyoPSsUew28ns87CUCL9XJwbGrUuSKgiedzkxLQkBjBdzd3fOtc/fuXchkMlSuXLnYsZYFIYQuadG2bdsC+2QttK+xkr7mtX13dXUttYnGrfF5UFC/k5OT0bBhQ1SqVMkywRWRUqmEnZ1pd+eX5H29PLOmfltj0pYqvrtPcgEAGdkCwjHvSm83Ry4uQcb5+fnh5s2bmDZtWoX/8cba3L17FwDyvVqFyoc6depYOgSbZnXJKu2VTU9f9fQ0lUqV79VPRWnj6XrmOq7WyJEj8e677+Lw4cMF1pPL5XqTv2vJZLJSGYQXp12pVKr7ApirAXI1xR8Q5eQK2JVyG7kaIEdjjxyh/9TOFVJdmToXyNHYGdQpCrO0kZPXn1J5PP77fTdXSAptP1eT919TEhzlabU1qVRq8S+zptC+xsz12JqzrYKOYW2M9TstLQ2HDh2Cl5eXhaIyXWpqKnr06AEPD48i7VdanxfWzhr6benjk43678VULo4SjOzjiqqV7OCssLopaMlKPPfcc+jUqRPWrVuH7du34/XXXy90H+38PMbm2NHeMvT07UBhYWEIDw/HgQMHcP36dSxcuBBXrlyBt7c3Jk2ahIkTJ0IIgcWLF2PZsmWIj4+Hr68vPv30UwwfPtxoDLm5uZg3bx5WrVqF27dvw8fHB2PGjMGUKVOM/qgTGxuLBQsW4OjRo0hJSYGvry8GDRqEGTNm6N2tor31MTQ0FEFBQQgNDcXx48ehUqlMusXpyJEjmDNnDo4ePYr09HT4+flh8ODBmDp1qu442mNoaW/HBEyfRuHRo0eYNm0afv/9d6SkpKBZs2b44osvjN5GmJKSgq+++grbtm3DtWvXIJfL8dJLL2HmzJlo3769Xt0///wTa9asQXR0NG7duoXs7GzUrVsXQ4cOxZQpU/Q+1+rUqYOHDx/iwYMHRu/4CQwMxL59+xAfH499+/Zh1KhRmD9/Pj766CODun/88Qd69eqFiRMn4j//+U++/e7SpQuio6N1z5FnjR49GhEREYiNjUWHDh105aae/6edPn0an3zyCY4cOQI7Ozt06dIF33zzjcH8VPm9HoQQ+OGHH7Bq1Sr89ddfyM7ORo0aNdC1a1fMmDHDaPzPKkrcP//8MxYvXox//vkHKpUKlStXRqNGjTB27FiDC2gqEqv7dDM2n5RWYmIiEhISjM4r9TRnZ2dUq1YN169fR25ursF2Y/NTmeO4Wg4ODnB1deUtAkREFubi4gI3Nzer/6e9xZKIyBQye6ChjwyeroZzsxI97bPPPoNcLseMGTOMfi8yl0WLFmHSpEl44YUXMGbMGKjVarz//vuIiIjAxIkTMW/ePLRv3x6jRo1CQkICRowYgUOHDhlt64MPPsDChQsRFBSE8ePHIycnB1OnTsW4ceMM6i5fvhwBAQE4cuQIevfujYkTJ6JGjRqYM2cOAgMDkZ2dbbDPkSNH0KlTJwB5FxkMHDiw0P79/PPP6NSpE6Kjo9GvXz988MEHcHFxQXh4OLp166abh9jPzw+hoaG6qWDef/99hIaGIjQ01KTHMSkpCe3atcNff/2FoUOH4vXXX8epU6cQFBSECxcu6NV98uQJ2rZti88++wyenp4YN24c3njjDZw6dQqdO3fGjh079OqvXLkS//d//4cmTZpgzJgxGDZsGIQQmD59OgYPHqxXd9iwYUhNTcUvv/xiEOO9e/ewf/9+dOzYUZdgUSqViIiIMNonbXlISEiBfR8+fDiEENiwYYPBtqysLGzbtg1+fn56SbjinP8zZ86gU6dOkEqleOedd9CyZUvs2LED3bp1Q2ZmZoExAnmJqiFDhiA4OBjXrl3DkCFDMGHCBLzwwgvYsmULTp8+XWgbRYl72bJl6N+/P+Li4vDaa69h8uTJ6NatG27dumVwjisaq7uyqlOnTpg3bx4iIyMNXjSRkZG6Oqa0s3nzZhw+fNjgHu09e/YYtGOu4wJ5Ca/ExMQC56siIiIiIjJFVFQU/vzzT6jVpZdssAVCCGQXMJ2nRiOQnSOQpRawK8ECOCXlIDXfVcy+vr4YP348Fi5ciFWrVmHMmDFmafdZBw8exOnTp+Hv7w8A+PDDD1G3bl18+OGHqFq1Ks6fP6+bRiA4OBht2rTBggULDK7+AYCTJ0/i3LlzqF69OgAgPDwcL7/8Mr7//nsMGzZMd1XN33//jQkTJqB58+bYu3ev3tXJX3zxBaZPn44lS5ZgypQpeu1HRUVh1apVCA4OhkqlKnQqhpSUFISEhMDe3h5Hjx5F06ZNAeQ9n4YNG4aNGzdiwYIFmDlzJvz8/BAWFob4+HicO3cOH3zwQZFWkzt37hzeffddLFmyRHcVWZcuXRASEoKlS5di+fLluroTJkzAxYsXsXr1arz11lu68rlz56JVq1YYM2YMevToAYVCASBvCppvv/0W9vb20Gg0UKlUcHV1xZgxY7B69WocPnwY7dq1A5CXOPrss8+wfv16DBkyRC/GjRs3QqPR6K6Mc3JywrBhw/Dtt98azI/28OFD/P7772jTpg2aNGlSYN/79++P8ePHY/369Zg+fbrett9//x1JSUl47733dK+N4p7/yMhIbNy4Ua9fI0aMwI8//ogdO3YY5AKetWzZMmzZsgVdu3bFb7/9BkdHR922jIwMZGRkFLh/UeOOiIiAg4MDzp07ZzAVx+PHjws8lqm++uqrfH84TUhIMMsxisPqklVdu3aFv78/Nm7ciIkTJ6J58+YA8t4kZs+eDalUiuDgYF39hIQEJCQkwMvLS+9WjzFjxmDz5s2YOXMm9u7dCwcHBwB5k6Tt2bMHHTt2RP369Yt93JSUFFy/fl33ZqWVmJiIt99+GwAMXthEVDaEEEhMTLR0GCZJTEy0qtX1iIjI+pw7d05vBWmZcxULRlN+ZecA7600ZXxgfFqQsrJ0tDvkZrzT+JNPPsGqVasQHh6OYcOGlcpCThMnTtQlqgDAx8cH7du3x/79+7F48WK9L9mtW7eGv78/zp07l29b2kQVkHeV9KxZszBgwACsW7dOl6xasWIFcnJysHjxYoPb6KdOnYqFCxdi06ZNBsmKFi1aYNSoUdBoNCb1bceOHUhKSsK4ceP0vvtJJBJ88cUX2Lp1K9auXYuZM2ea1F5BnJ2d8eWXX+rd7jhy5EiMHTsWJ0/+b8GohIQEXcLk6UQVAFStWhUfffQRJk6ciL1796J3794AgFq1ahkcTyKRYPz48Vi9ejX27t2rS1bVrVsXbdq0QWRkJB49eqR3/tavXw+FQoH+/fvryt555x18++23iIiI0EtWrVu3Dmq1GqNHjy60766urnj11VexZcsWnDlzBi1atNA7JpB3xZdWcc//yy+/jEGDBumVjRo1Cj/++CNOnjxZaLJKm/BbtmyZXqIKABwdHQ3KnlWcuPOb/sDT07PAY5nq66+/Nks75mZ1ySqpVIqIiAgEBQWhQ4cOGDJkCNzc3LB9+3Zcv34dn3/+uV6SaenSpQgPD0doaCjCwsJ05Z07d0ZISAgiIiLQokUL9OrVCw8ePMCWLVvg5uaGZcuWlei4jx8/RrNmzdCyZUs0adIEVapUwZ07d7Br1y48fvwYgYGBmDRpUqk/XkRkKC0tDTExMeVirqL79++XmwnAiYjIMrTzS8r8+uKmyh3NaxRtfjuybR4eHpg2bRpmzJiBRYsWYcaMGWY/xtOJBa1q1fJWrdZeBPDstuPHjxtt6+n5iJ4tO3v2rK7s2LFjAIDdu3dj7969BvvIZDJcunTJoLx169ZGj5ufM2fOAIDROaN8fHxQp04dXL58WbfgS0nUq1fP4AoXqVSKqlWrIikpSVd28uRJ5ObmIjMzU+87sJZ2aptLly7pklXZ2dlYunQpNm/ejEuXLiE1NVXvB1PtpPBaw4cPx/Hjx7F582ZMmDABAHDx4kWcPXsWAwYM0JvPuUmTJmjbti22bduGJUuW6LatXr0aLi4uBsmh/AwfPhxbtmzB+vXrdc+pJ0+e4I8//kCrVq3w3HPP6eoW9/wbu/upZs2aAKD3GBuTlpaGv//+G3Xr1jV5iqBnFTXugQMH4uOPP0bjxo0xePBgBAQEoH379mb9/nDv3r18FwNo0KABLl++bLZjFYXVJauAvETToUOHEBoaiq1btyI7OxuNGjXC7NmzMXToUJPbWbFiBZo2bYoVK1Zg8eLFcHFxQZ8+fTBnzhy9xFNxjuvh4YHx48fj2LFj+O2335CUlARnZ2c0adIEw4YN010qSkSWoZ2ryNppVy8kIiLKT0a2gATArWQn5Epd4ehgddPOlgsO0ryrlvKj0WiQkqKCq6ubyauzlgaHUviG9sEHH2Dp0qWYP38+3nnnHbO3b2zMJZVKC9yWk2P8nswqVQyvHKxSpQrs7Oz0FsN68uQJAGDOnDlFirVq1apFqq9dnCu//by9vXH58mXdbXUlkd+CXlKpVG/OMW3fDx8+XOCiXmlpabr/79+/P3777TfUr18fAwcOhFKphIuLC5KTk/Gf//xH7+pNABg8eDAmTZqEDRs26JJVP/74IwAYnRx/zJgxeOutt7Bhwwa8++67OHToEC5duoTRo0ebPDdnUFAQqlSpgk2bNmHBggWws7PTfS9/9pjFPf8FPVcLm9dNm8yqUaP4q7kXNe6pU6fC09MTy5cvx8KFC/H1119DKpWiZ8+eWLRokd4k/hWNVSargLyM965duwqtFxYWZjSbDAB2dnaYMGGC7sVlzuO6ublh6dKlJrdLRERERFQcQgASAC3rOKCatyNees5wNWkqnEQiKfD2Oo1GgiypBHKZBHZ21rfybUk4OjoiLCwMY8aMwdy5c9GnTx+j9ezs7IxOSg3kv2q6uT18+FDvChptmUaj0UvmaJMORU0SFXU+MO1xHjx4YHS7trwsfyTVHmvKlCn46quvCq1/8uRJ/PbbbwgKCsLOnTshkUh083WdOHHC6Cp9np6eeOWVV/Drr7/iypUrqFOnDjZu3AgvLy/06NHDoP6gQYMwadIkRERE4N1339VNrG7KLYBaUqkUgwcPxuLFi7F//35069YN69ev15UbewzMkSQ0lfb5d+fOnWK3UdS4JRIJQkJCEBISgsePH+PgwYPYtGkTtm7diri4OJw/f77CXiTDn2WIiIiIiMqBVnUd0PNFR3i4cAhPRTdq1Cg0aNAA3377LW7evGm0jru7Ox4+fGhw1VNaWprRVdNLw8GDB/Mte/qWwjZt2gD4321VpUV7O1p0dLTBtjt37uDq1avw9/cvs4QJALRq1QoSiQRHjx41qf7Vq1cBAL169TJIbBh7vLW0c0StX78eMTExuHXrFgYNGmR0/iRHR0cMGzYMZ86cQUxMDH766Sc0bdoUrVq1MrVbBse8fv06jhw5gqCgIIPJxcvq/D/NxcUFDRs2xPXr14v9eihJ3J6enujXrx+2bNmCLl264J9//sGVK1eKFUd5wE86IiIiIiKiCs7e3h5z585FVlYWPvvsM6N1WrZsCbVajQ0bNujKhBCYPn263i1lpWnx4sV68yelpqbq4h0xYoSu/N1334VUKsWECRNw69Ytg3aSkpJ0802VRN++faFUKrFmzRpcvHhRV659XNRqtd5CXGXB29sbAwcOxJEjR7BgwQKji/UcP34c6enpAP43ufqhQ4f06ly8eBHz5s3L9zh9+vSBUqnEhg0bCrwFUEt7i+mbb76J9PT0Il1VpaWdm2r79u1YuXIlhBBGj1lW5/9Z48ePR25uLt59912Dlf8yMzN1t/nlp6hx79mzxyB5rFardcd5ekL34OBgSCQSrF27tqjdskpWexsgUXEIjQZZ6Um6v6V2efcdZ6YnIUeT9ytCdmYKsjOSkZlW/NXizNGGOjMVQMW8ZJOIiIiIrM9rr72Gtm3b5ntFznvvvYc1a9YgJCQEUVFRqFy5Mg4ePIikpCQ0a9Ys3xX8zKlVq1Zo1qwZBg0aBLlcju3btyM+Ph6jR4/WW2mucePG+O677zBu3Dg899xz6NmzJ+rUqQOVSoVr164hJiYGwcHBWL58eYnicXNzw8qVKzFkyBC0adMGgwYNQuXKlbFv3z6cOnUKrVu3xkcffVTSbhfZd999h8uXL2Pq1Kn48ccf0bZtWyiVSty6dQt//vkn4uLicO/ePTg5OaF169Zo3bo1tm7dinv37qFNmza4evUqdu/ejV69emHbtm1Gj6FQKDBgwABERETgxo0bqFevnu7KIGMaN26Ml19+GUeOHIFCodBbva8ohg8fjpkzZ+Krr76Cm5sbXn31VaPHKovz/6xx48YhJiYGW7duRb169fDqq6/Czc0NN2/exJ49e7Bq1Sr069cv3/2LGvegQYPg5OSE9u3bo1atWlCr1YiKisLff/+NQYMGwdfXV9e2doVL7Rxc5V3F6AXRf2VlpsMp5zickLcKnL0dAMjhkn5Wt5IOFA/hgEzI0x8X/0BmaMNdcgu5OdWKHwMRERFVWEIIXL9+HWlpaZAI4xNRExXHl19+qZf0eVqTJk2we/duzJgxA9u2bYOLiwt69uyJBQsWmLyiW0ktWrQIW7duRUREBG7fvg0fHx98+eWXmDJlikHd0aNHo3nz5li4cCFiY2Px66+/QqlUwtfXF5MmTcLIkSPNEtOAAQPg7e2NefPmYfv27UhPT4efnx8+/fRTTJs2DQqFwizHKQoPDw8cOXIES5cuxZYtW7BhwwZoNBp4e3ujWbNm+PTTT3UrY9vb2+P333/Hxx9/jN27d+PkyZPw9/fHggUL0LNnz3yTVUBe4igiIgJqtdqk5NPIkSNx5MgR9O/fv9gr1g0bNgyffvqp7phPXz30tLI6/0+TSCTYvHkzunfvjoiICPzwww8QQqBGjRoYOHAgXnzxxULbKErc8+bNw+7du3HixAn89ttvcHZ2Rt26dbFixQqMGjVKr90LFy7A1dUVvXr1Mnu/LUEijF0zSBahUqmgVCqRnJxs1gn61Go1/vjjD/Ts2dPo/cUFefLkCQ4dOoScnBzs+ysTCuf8V1ApjCohHg6OylJtIzHhHmRSe7hUyltFxN5OoF1dNQ5fkSFXIymzOExxK+4knFwrwdO7eMueFhSHsX7nJzMtEV2bKuDhkf8y2Hfu3IFMJjO6Oos1EUJApVIhNTW1XMQLmO+x1fbdzc2tyBOHmsoanwcF9dsa482PSqVC+/btC3wdPq0k7+vlmTX1u7Q+s6norHH8ZA4nz/yDP37dqlf2xtB30Liu8eXFzcnSfS+JzMxMXL9+HbVr1y5yAkGj0eg+Uyy5GmBZY79tq99A6fb93XffxbJlyxATE5NvUtRSKvI5V6lUcHd3x5QpUzB//ny9bWXRb1Pfe4vymc0rq4iIiIiIrMzVO3krr+VKFFBLvaCRecKvRuVC9iIispxHjx7hhx9+wPPPP291iaqK7vDhw5DJZJg8ebKlQzEbJquIiIiIiKzNf+99cHCtgVFDB8PT1Q4ujhXrSgAiqhh27tyJ06dPY9u2bUhLS0NoaKilQ7I5r7zyCjIzMy0dhlkxWUVEREREZKXs7QC/KhyyE5H1+umnn7Bu3TpUr14dc+fOLbP5zahi4ycfERERERERERXL2rVrsXbtWkuHQRUMk1VERERERFZCrVbj/v37SE9NtHQoREREFsNkFRERERGRlfh+9Xok3L/5v4JSWuGViIjImjFZRURERERkJR4lPIEEQI6dC4TEAZWrNbZ0SERERGWOySoiIiIiIishBCABULfl6/CtWQ0v1nGwdEhERERljskqIlsnNEhKSiqwSlJSEmQyGaTS/N8yKlWqBDs7LqlNRERkDk1qSfFCQ4WlwyAiIrIIJquIbFx2ZgqOXgYcHDPzrZP8JBtSWS6c7xqvk52RjFfaAB4eHqUVJhEREREREdkIJquICA6OSiic3fPdnpGRCZnUvsA6RERERERERObAZBURERERkQVpNAJn49VQpWsgLB0MERGRFWCyioiIiIjIgs7fVGPZ7lQAgPd/s1X2nAaSiIhsGD8GiYiIiIgs6EliGjyS/4C36mdIRToAoLKbvYWjIipbwcHBkEgkiI+Pt3QoZrF+/Xo0b94cLi4ukEgkCAsLs3RIROUKk1VERERERBb0+P41OGVfhTTrLiA0kEgkcHV1tXRYVE7Fx8dDIpFAIpGgd+/eRutER0dDIpFg7NixZRydbThy5AiGDx+O9PR0jB8/HqGhoQgICLB0WBaTmJiIzz//HG3btoWnpydkMhkqV66Mbt26YcmSJUhNTbV0iGSFeBsgEREREZEFCaEBANg7VcHrvTrB09OTySoyi507dyI2NhYdO3a0dCg25Y8//gAA/PDDD3jppZcsHI1l7du3DwMHDsSTJ0/w/PPPY8CAAfD09MTjx48RGxuLiRMnYtGiRbh69aqlQyUrw2QVEREREZEFqHMEbjzKQXJGXrLKTuaMhg0bWjgqqij8/Pxw8+ZNTJs2DUePHrV0ODbl7t27AABvb28LR2JZ586dQ58+fQDk3RY5dOhQgzrR0dGYPn16WYdG5QBvAyQiIiIisoAlf6Tgy/9LwfkbakuHQhXQc889h+HDh+PYsWPYvn27Sfv4+fnBz8/P6LaAgABIJBK9srCwMEgkEkRHR2PNmjVo0qQJHB0dUbt2bSxevBgAIITAf/7zHzRo0AAKhQL169fHjz/+mG8Mubm5mDdvHurWrQuFQoF69ephwYIF0Gg0RuvHxsaiT58+8PLyglwuR7169TBz5kykp6fr1dPe+hgWFoajR4+iR48eqFWrFuztTZsf7siRI+jVqxc8PDygUCjQoEEDhIWF6R1He4w1a9YAAGrXrq27JdMU169fx9ixY1G7dm3I5XJUqVIFAQEBWLt2ra5OdnY2lixZgqCgIPj4+Ojqvf766zhz5oxBm2vXroVEIsHatWuxc+dOdOjQAUqlEk2bNtXV+fnnn9GpUydUqVIFCoUCPj4+6NGjB3bs2GFS3PmZOHEiMjIysGTJEqOJKiDveRUdHV2i41DFxCuriIiIiIgs4GFy3pdvZ4e8L7IeLvwduTQJIaBW558Y1Gg0UKvVyM7Ohp2d5c6FTCYzOblRmM8++wybN2/GjBkz0LdvX5MTM0W1aNEiREdHo2/fvujSpQt+/vlnvP/++3BycsK5c+fw008/oXfv3ujSpQs2b96MESNGoHbt2mjfvr1BWx988AGOHTuGgQMHQqFQYPv27Zg6dSquXLmCFStW6NVdvnw53n33Xbi7u6NPnz6oXLkyTp48iTlz5uDAgQM4cOAAHBwc9PY5cuQI5s6di4CAAIwcORIPHjwotH8///wzBg8eDAcHBwwaNAhVqlTB3r17ER4ejsjISBw4cAByuRx+fn4IDQ3Fjh07cO7cObz//vuoVKmSSY/h0aNH8corr0ClUiEoKAiDBw9GYmIizpw5g//85z8IDg4GADx58gQffPABOnTogJ49e8Ld3R3Xrl3Dr7/+il27diE2NhatWrUyaP+nn35CZGQkevfujXHjxuHx48cAgGXLluHdd99FtWrV8Nprr8HT0xP37t3DiRMnsGPHDvTr18+k+J915coVxMbGombNmnjrrbcKrCuXy4t1DKrYmKwiIiIiIrKggCYKHI0G3JyYrCpNarUa8+bNs3QYhZo+fbpBgqW4fH19MX78eCxcuBCrVq3CmDFjzNLusw4ePIjTp0/D398fAPDhhx+ibt26+PDDD1G1alWcP38elStXBpC36l+bNm2wYMECo8mqkydP4ty5c6hevToAIDw8HC+//DK+//57DBs2DB06dAAA/P3335gwYQKaN2+OvXv3wsPDQ9fGF198genTp2PJkiWYMmWKXvtRUVFYtWoVgoODoVKp4ObmVmDfUlJSEBISAnt7exw9elR3RZIQAsOGDcPGjRuxYMECzJw5E35+fggLC0N8fDzOnTuHDz74IN8r1Z6WlZWFQYMGISUlBX/88Qd69Oiht/327du6/3d3d8fNmzdRo0YNvToXL17ESy+9hBkzZiAqKsrgGLt27UJkZCS6desGjUYDlUoFAIiIiICDgwPOnTunO0da2oRWcRw+fBhA3pVTlkz+UvnFZw0RERERURnJzhH47WQGNsSkITXT+G1NROb0ySefQKlUIjw83ODWOHOZOHGiLlEFAD4+Pmjfvj2Sk5PxySef6CVBWrduDX9/f5w7dy7ftrSJKgBwcXHBrFmzAADr1q3Tla9YsQI5OTlYvHixXqIKAKZOnYrKlStj06ZNBu23aNECo0aNMrlvO3bsQFJSEkaNGqV365xEIsEXX3wBqVSqd5tecfz666+4desWhg0bZpCoAoCaNWvq/l8ulxskqgCgUaNG6Ny5M2JjY41eQdivXz9069bN6PFlMhlkMplBuaenZ1G6oef+/fsA9GMnKgpeWWUDcnNzAQDXrl0r8qW/SUlJSExM/G8bilKIjoiIiMg2ZGYLnIvPxq8nMwAATpn/oHLm37h4JsPCkdkGmUxW4ETOGo0GKSkpcHV1tfhtgObk4eGBadOmYcaMGVi0aBFmzJhh1vaBvATQs6pVqwYAaN68udFtx48fN9qW9sopY2Vnz57VlR07dgwAsHv3buzdu9dgH5lMhkuXLhmUt27d2uhx86OdByogIMBgm4+PD+rUqYPLly/rnjvFceLECQBA9+7dTap/9uxZzJ8/H4cOHcL9+/cNklMJCQm6x18rv34PHDgQH3/8MRo3bozBgwcjICAA7du3N/n2RaLSwmSVDbhx4wYAIHxLMnI0Rfvgzc5IhieykJuZDGd3www+ERERERVufUwaYi5m6f6u7GYHt7RTyFInQZWcV1bcL7pkGolEUuDtdRqNBjKZDA4ODhXutqUPPvgAS5cuxfz58/HOO++YvX1jt9JJpdICt+Xk5Bhtq0qVKkbL7OzskJycrCt78uQJAGDOnDlFirVq1apFqq+9XS6//by9vXH58mWoVKpiv4aTkpIAwOgVU886cuQIunTpAiAvuVWvXj24uLhAIpHo5srKysoy2C+/+KdOnQpPT08sX74cCxcuxNdffw2pVIqePXti0aJFqF27drH6pF0J8c6dO8Xan4jJKhuirOyHHFG0U56Zlgh5+mOokVtKURERkUajQWJiosn1tQP8xMRE3ZeBslSpUqUK90WOqDRkqQV+PZGBpHQNTsRl68olEiCgsRz/PAay0oEuXbqgSpUqxf5SSFQYR0dHhIWFYcyYMZg7dy769OljtJ6dnR2ys7ONbns6UVSaHj58iOeee86gTKPRQKlU6sq0SbCiJomKOnm99jj5TcSuLS9s7quCaK9iMiWxM2fOHGRlZeHQoUNo166d3rZjx47le3tlfv2WSCQICQlBSEgIHj9+jIMHD2LTpk3YunUr4uLicP78+WJNzK+NLTo6GhqNhuMGKjImq4iIiCwsLS0NMTEx8PLyMqm+EAJA3spB5loxylSpqano0aOHwfwgRGTo71tqRJ7L1CubNdAN1dztIbWX4J+YvLLatWtzXhcqdaNGjcLChQvx7bffolmzZkbruLu74/z588jJydH7MSQtLQ1xcXFlEufBgwcNbgU8ePAgAP1bCtu0aYPTp0/j2LFjCAwMLLV4tLc4RkdHY+DAgXrb7ty5g6tXr8Lf379EV0Zqb9GLjIzE0KFDC6x79epVeHh4GCSq0tPTcfr06WLHAOTNUdWvXz/069cPCQkJ2L9/P65cuWKQPDRF3bp10bFjR8TGxmLdunUFrgiYlZXFFQHJANObREREVsDFxQVubm4m/wNQpPrm+ufi4mLhR4os6eTJk7ql0p2dndG6dWts3LixSG1oNBosXboUTZs2haOjIypXroyBAweW2Rfh0nQrIQfnb2Rj0W8p+GhdIn6ITgOQd8vfwHZOeK+nC3y8pJDal22SmQgA7O3tMXfuXGRlZeGzzz4zWqdly5ZQq9XYsGGDrkwIgenTpyMtLa1M4ly8eDHu3r2r+zs1NVUX74gRI3Tl7777LqRSKSZMmIBbt24ZtJOUlKSbb6ok+vbtC6VSiTVr1uDixYu6cu3jolarERwcXKJjvPrqq6hZsybWr1+PPXv2GGx/+oqrWrVqITExUS+W3NxcfPjhh3j06FGRj71nzx6DWzLVarXuNktHR0ddeXBwMCQSickTyi9evBiOjo547733sGXLFqN1Dh48qLutkehpvLKKiIiIiAoVHR2NoKAgODg4YPDgwVAqldi+fTuGDh2K+Ph4kydtHjt2LFauXImGDRtiwoQJePDgAbZs2YLIyEgcOXIEDRs2LOWelI7rD3Iw92eV0W0NfWQIbMaFasjyXnvtNbRt2xZHjx41uv29997DmjVrEBISgqioKFSuXBkHDx5EUlISmjVrlu8tZubUqlUrNGvWDIMGDYJcLsf27dsRHx+P0aNHo2PHjrp6jRs3xnfffYdx48bhueeeQ8+ePVGnTh2oVCpcu3YNMTExCA4OxvLly0sUj5ubG1auXIkhQ4agTZs2GDRoECpXrox9+/bh1KlTaN26NT766KMSHUMul2Pr1q3o0aMHXnnlFfTo0QPNmjWDSqXC2bNnkZ6erku8TZgwAZGRkWjfvj0GDhwIhUKB6Oho3LlzBwEBAYiOji7SsQcNGgQnJye0b98etWrVglqtRlRUFP7++28MGjQIvr6+uroaTd4KpqZOQdCsWTP89ttvGDhwIAYPHozPPvsMHTt2hIeHB548eYLDhw/j/PnzqFu3bpFiJtvAZBURERERFSgnJwchISGQSCSIjY3V3RYTGhqKtm3bIjQ0FAMGDEC9evUKbOfAgQNYuXIlOnTogKioKN1tHyNGjEBgYCDGjRuHmJiYUu+POZ28koXoC1lQped9iZNLAW93ewgAQ9o7wUEmQU3Pos/3QlRavvzyS72kz9OaNGmC3bt3Y8aMGdi2bRtcXFzQs2dPLFiwAIMGDSqT+BYtWoStW7ciIiICt2/fho+PD7788ktMmTLFoO7o0aPRvHlzLFy4ELGxsfj111+hVCrh6+uLSZMmYeTIkWaJacCAAfD29sa8efOwfft2pKenw8/PD59++immTZsGhaLkyei2bdvi9OnTmDdvHvbs2YO9e/fC3d0dDRs2xNixY3X1evfujW3btmHu3LlYv349nJyc0KVLF/zf//1fvlfMFWTevHnYvXs3Tpw4gd9++w3Ozs6oW7cuVqxYgVGjRunVvXDhAlxdXdGrVy+T2+/atSvi4uLw3XffYefOndiyZQtSUlKgVCrRpEkT/Oc//8Hbb79d5Lip4pMI7cQXZHEqlQpKpRLJycklmqDvWZcvX8alS5ew+27bYk2w7pr+J9Tpj+HgqITC2b3YcagS4ku9jcSEe5BJ7eFSKW8VEXs7gXZ11Th8RYZcjaTM4jDFrbiTcHKtBE/vggf2xYnDWL+L2sbTnn1cn5WZloiuTRUWn8NGCAGVSoXU1FTIZDKjq8lYmzt37pglVm3f3dzcSm0OI3PFak4F9dsa481PUWMti/OdH5VKhfbt21vk9a5Wq/HHH3+gZ8+eZl/avahK6zPbWkVGRiIoKAhvvfUWVq9erbdty5YtGDx4MKZPn465c+cW2M6bb76JTZs2ISYmxuDL8iuvvILdu3fj8uXLqF+/vsmxlda5KOj5lpMrEHk2E4mpGkRf1F91q1VdB4zpXvDtsllZWcjMzMTq1auhUqnw9ttvW9WcVdb0WiuqzMxMXL9+HbVr1y5yAkGj0ejeW21pMmj227b6DRSv7yqVCu7u7pgyZQrmz59fyhGWDls952XRb1Pfe4vymc0rq4iIiIioQNrbSrp3726wTVtmyhVR0dHRcHZ2NpgYGACCgoKwe/duxMTEFClZVRZuP85BYqoGMRezEP8wB8nphr/1BrVQoK63FM/VkCErKwu3bt1CdnY2zp49C4VCgQsXLsDFxQUpKSkW6AERUckcPnwYMpkMkydPtnQoZCOYrCIiIiKiAmknPzd2m5+7uzu8vLwKnSA9LS0N9+7dQ+PGjY0ug65tu7B2srKykJX1v6uZVKq8eaLUajXUanXBHSmCvecysOfuS/h9ZcHJpZ4vOMDTxQ4v1Zf+90rHHGzeshXXrl0zqPtsosre3h4eHh5wd3c3a+wlpY3FmmIylVqthhACGo1GN7+OqbQ3nGj3txXst231Gyhe34OCgpCeng4A5fbxstVzXhb91mg0EEJArVYb/YzXKsrnCpNVRERERFSg5ORkAIBSqTS63c3NDbdv3y5xG0/Xy8+8efMQHh5uUB4ZGQknJ6cC9y2KQw+bQS30b1FQylIgIEEj5TVIJTlwk6VB8gBIfADsuvq/ek+vZKZQKCCVSnX9c3FxgUQigUKh0N3Gu3fvXrPFbU5RUVGWDqHIpFIpvL29kZqaiuzs7GK1YatXv7HftsdW+85+m192djYyMjIQGxtrsLrk07QJT1MwWUVERERE5cb06dP1bkNRqVTw8fFB9+7dzTpnVf17Wdh/+DwC2jaBh6sMnq4SSCSu/91arcB9mzZtCrVaDW9vb71l38sL7WpggYGB5XLOqlu3bsHFxaXIc1YJIZCSkgJXV9cynw/Qkthv2+o3YLt9Z79Lr9+ZmZlwdHREx44dC52zylRMVhERERFRgbRXQ+V31ZN2wtSStvF0vfzI5XLdKoJPk8lkZk2s1K0G/Ov0EPVryIvcbu3atc0WhyWZ+zEtC7m5uZBIJLCzsyvyRMLa22O0+9sK9tu2+g3Ybt/Z79Lrt52dHSQSSaGfG0X5TLGdM0RERERExVLQfFKJiYlISEgwOp/V05ydnVGtWjVcv34dubm5BtsLmheLiIiIbAuTVURERERUoE6dOgHImxfqWdoybZ3C2klLS8Phw4cNtu3Zs8fkdogKo51QmIiISl9pvOcyWUVEREREBeratSv8/f2xceNGnD17VleekpKC2bNnQyqVIjg4WFeekJCAS5cuISEhQa+dMWPGAABmzpypN/n1vn37sGfPHnTs2BH169cv1b5QxaZdhao8rmRIRFRead9zC1oJsKiYrCIiIiKiAkmlUkRERECj0aBDhw4YM2YMPvzwQzRr1gwXL15EWFiYXpJp6dKleP7557F06VK9djp37oyQkBAcPHgQLVq0wNSpUzFy5Ej06tULbm5uWLZsWVl3jSoYmUwGuVyO5ORkXl1FRFQGhBBITk6GXF70OR4LwgnWiYiIiKhQnTt3xqFDhxAaGoqtW7ciOzsbjRo1wuzZszF06FCT21mxYgWaNm2KFStWYPHixXBxcUGfPn0wZ84cXlVFZuHl5YU7d+7g9u3bUCqVkMlkJq2ApdFokJ2djczMTJubfJn9tp1+A7bbd/bbvP0WQkCtViM5ORmpqamoUaOG2doGmKwiIiIiIhO1bt0au3btKrReWFgYwsLCjG6zs7PDhAkTMGHCBDNHR5THzc0NQN7tqHfu3DF5PyEEMjIy4OjoaHPL2rPfttNvwHb7zn6XTr/lcjlq1Kihe+81FyariKjkhAZJSUklbqZSpUo29SsHUXmk0WiQmJhokWPn5OQAyFt9Tio1fQjD9xYi2+Pm5gY3Nzeo1Wqjq08ao1arERsbi44dO5r1VhZrx37bVr8B2+07+23+ftvb25faY8lkFRGVWHZmCo5eBhwcM4vfRkYyXmkDeHh4mDEyIjK3tLQ0xMTEwMvLq8yPrZ1/5ujRoyb/MpiamooePXrwvYXIRslkMpO/SNnb2yMnJwcKhcKmvsiy37bVb8B2+85+l69+M1lFRGbh4KiEwtnd0mEQURlwcXEx+6XephBCQKVSwc3NzaYu3yciIiKyNVZ7TfzJkyfRs2dPuLu7w9nZGa1bt8bGjRuL1IZGo8HSpUvRtGlTODo6onLlyhg4cCDi4uLMdlyVSoXJkyejVq1akMvlqFWrFiZPngyVSlWkWImIiIiIiIiIyEqTVdHR0Wjfvj0OHjyI/v37Y9y4cUhISMDQoUMxd+5ck9sZO3YsJkyYgNzcXEyYMAE9e/bEr7/+ilatWuHvv/8u8XHT0tLQqVMnfPPNN3juuecwadIkNGzYEN988w06deqEtLS0Ej0ORERERERERES2xuqSVTk5OQgJCYFEIkFsbCxWrlyJr776CufOnUOjRo0QGhpa4JVRWgcOHMDKlSvRoUMHnD59GvPnz8e6deuwc+dOqFQqjBs3rsTHnT9/Ps6ePYupU6ciMjISX3zxBXbt2oVZs2bh7NmzmD9/vlkfGyIiIiIiIiKiis7qklX79+/H1atX8eabb6JFixa6cldXV3z66afIycnBmjVrCm1n5cqVAIDPP/8ccrlcV961a1cEBQUhNjYW//77b7GPK4RAREQEXFxcMGvWLL1jT58+He7u7li1apVuMlgiIiIiIiIiIiqc1SWroqOjAQDdu3c32KYti4mJMakdZ2dntGvXzmBbUFCQQTtFPW5cXBzu3r2Ldu3awdnZWa++QqFAx44dcefOHVy5cqXQWImIiIiIiIiIKI/VrQaovdWuXr16Btvc3d3h5eVV6G2AaWlpuHfvHho3bgx7e3uD7dq2n26nqMctqP6zx8ivTlZWFrKysnR/JycnAwCePHkCtVqdfweLKDk5Genp6Ui8cx65mqKtnqTOSkFu5nXkZqsglSXCwTGh2HGkqx6Uehupqsewt5ciOzPvsZTaS5Be3QuJDxKQkyvKLA5TZCQ/gFCnoyTrWeUXh7F+F7WNpz37uBanjcJkZ6Ti4UMPvddEcT158gT29vbIzc0tcVul7fHjx5BKpWaLNT093SztGGPuWM3JWL+tOd5nFTfW0jzf+bGGx7Uo/U5LS0NiYqLZr3ROSUkBAF5BbQW058Dci9uo1Wqkp6dDpVKVq6W+zcFW+85+s9+2wlb7zn5bvt/az2pTxk9Wl6zSJmyUSqXR7W5ubrh9+3aJ23i6XnGOW5xjPGvevHkIDw83KK9du3a++1DRRVg6AAspj/0u2nqfRESWl5KSku9YgMqGNnHo4+Nj4UiIiIjIFKaMn6wuWWVLpk+fjsmTJ+v+1mg0ePLkCTw9PSGRlOR6G30qlQo+Pj64deuWLolmK2y17+y3bfUbsN2+s9/st6UIIZCSkoLq1atbNA4Cqlevjlu3bsHV1ZXjJzOx1b6z3+y3rbDVvrPflu93UcZPVpes0mbX8rsiSaVSFZqBM6WNp+sV57jFOcaz5HK53uTvAFCpUqV865eUm5ubxZ+clmKrfWe/bY+t9p39ti3W0m9eUWUd7OzsULNmzVJr31qeb5Zgq31nv22LrfYbsN2+s9+WZer4yeomWDc2n5RWYmIiEhIS8p0DSsvZ2RnVqlXD9evXjc6pYWy+qaIet6D6+R2DiIiIiIiIiIgKZnXJqk6dOgEAIiMjDbZpy7R1CmsnLS0Nhw8fNti2Z88eg3aKetx69eqhevXqOHz4MNLS0vTqZ2ZmIjY2FtWrV0fdunULjZWIiIiIiIiIiPJYXbKqa9eu8Pf3x8aNG3H27FldeUpKCmbPng2pVIrg4GBdeUJCAi5duoSEBP1VyMaMGQMAmDlzJrKzs3Xl+/btw549e9CxY0fUr1+/2MeVSCQICQlBamoqPvvsM71jz5s3D4mJiQgJCTHr3AnFJZfLERoaanDLoS2w1b6z37bVb8B2+85+s99EpcWWn2+22nf2m/22Fbbad/a7fPVbIqxwzeUDBw4gKCgIcrkcQ4YMgZubG7Zv347r16/j888/xyeffKKrGxYWhvDwcISGhiIsLEyvndGjRyMiIgINGzZEr1698ODBA2zZsgUKhQJHjhxBw4YNi31cIG857Pbt2+Ps2bMIDAzEiy++iHPnzmHXrl1o3rw5Dh06BGdn51J7nIiIiIiIiIiIKhqru7IKADp37oxDhw6hffv22Lp1K7777jt4enpi/fr1BgmjgqxYsQKLFy+GRCLB4sWLsXPnTvTp0wcnTpwwSFQV57jOzs6Ijo7GpEmTcOnSJXz99de4cOECJk2ahOjoaCaqiIiIiIiIiIiKyCqvrCIiIiIiIiIiIttklVdWERERERERERGRbWKyioiIiIiIiIiIrAaTVRXcyZMn0bNnT7i7u8PZ2RmtW7fGxo0bLR1Wid25cweLFi1C9+7d4evrCwcHB3h7e+ONN97A8ePHDeqHhYVBIpEY/adQKCzQg+Lz8/PLty9jx441qK9SqTB58mTUqlULcrkctWrVwuTJk6FSqSwQffGtXbs2335r/3Xt2lVXv7yd8/Xr1+Odd95By5YtIZfLIZFIsHbt2nzrF+e8bty4Ea1bt4azszPc3d3Rs2dPnDp1qhR6YzpT+61Wq/Hzzz8jODgYzz//PJydneHq6oo2bdrgu+++Q25ursE+8fHxBT5fNm/eXAY9zF9Rznlxn8/l+ZwDKPQ1L5FIcOvWLV19az/nVD5U1LETwPGTrY2fKvrYCeD4ydbGT7Y6dgJsc/wktchRqUxER0cjKCgIDg4OGDx4MJRKJbZv346hQ4ciPj4eM2bMsHSIxbZkyRJ8+eWXqFOnDgIDA1GlShXExcVhx44d2LFjBzZt2oSBAwca7Ddy5Ej4+fnplUml5e9loFQq8cEHHxiUt2zZUu/vtLQ0dOrUSbdi5ZAhQ3Du3Dl88803OHDgQLlasbJ58+YIDQ01um3btm24ePEigoKCDLaVl3M+c+ZM3LhxA15eXqhWrRpu3LiRb93inNe5c+fik08+ga+vL8aOHYvU1FRs3rwZ7dq1w549exAQEFDKPTTO1H5fvXoV/fv3h6urK7p06YJXX30VycnJ+O233zB+/Hjs3r0bv/zyCyQSicG+zZo1Q79+/QzKGzdubO7uFElRzrlWUZ7P5f2cA8j3NX/lyhVs2LABzz//PHx8fAy2W+s5J+tXkcdOAMdPtjZ+quhjJ4DjJ1sbP9nq2Amw0fGToApJrVaLOnXqCLlcLk6fPq0rV6lUolGjRkIqlYp///3XghGWzM8//yxiY2MNymNjY4VMJhMeHh4iMzNTVx4aGioAiAMHDpRhlKWjVq1aolatWibVnTVrlgAgpk6darR81qxZpRBh2crKyhKenp5CKpWK+/fv68rL2zmPiooS8fHxQggh5s2bJwCINWvWGK1b1PP677//CqlUKurXry+SkpJ05RcuXBBOTk6iTp06Qq1Wm7dDJjK137dv3xbfffedSEtL0ytPTU0VLVu2FADE1q1b9bZdv35dABAjR44srfBLpCjnvKjP54pwzgvy3nvvCQDi66+/1iu39nNO1q2ij52E4PiJ46c8FWXsJATHT0LY1vjJVsdOQtjm+Im3AVZQ+/fvx9WrV/Hmm2+iRYsWunJXV1d8+umnyMnJwZo1aywYYcm8/vrr6NChg0F5hw4d0LlzZzx58gTnz5+3QGTWQwiBiIgIuLi4YNasWXrbpk+fDnd3d6xatQqinC8I+n//9394/PgxevfujapVq1o6nGLr1q0batWqVWi94pzXNWvWICcnB5988gmUSqWuvFGjRhgxYgSuXr2K/fv3m68zRWBqv2vUqIFx48bByclJr9zZ2RmTJ08GAMTExJRKjKXF1L4XR0U45/nJzMzEhg0b4ODggOHDh5sxMrJ1FX3sBHD8ZApbGD9VlLETwPFTYSra+MlWx06AbY6frPN6Tiqx6OhoAED37t0NtmnLytMbU1HIZDIAxi/vPHjwIE6cOAF7e3s0aNAA3bp1g1wuL+sQSywrKwvr1q3DnTt34O7ujpdffhnNmjXTqxMXF4e7d+8iKCjI4JJmhUKBjh074pdffsGVK1dQr169sgzfrFatWgUACAkJMbq9opxzreKc14LeD4KCgrB8+XLExMQY3V4eFPSaB4C7d+9i2bJlSEpKQvXq1dG1a1fUrFmzLEM0G1OfzxX5nG/fvh2JiYno378/KleubLRORTrnVHZseewEcPykZQvjJ1sbOwEcPxljK+Mnjp3ylMfxE5NVFVRcXBwAGP0QdXd3h5eXl65ORXLz5k3s3bsX3t7eaNKkicH2Z39JqVatGtatW4fAwMCyCtEs7t+/j+DgYL2yHj164Mcff4SXlxeAgp8DT5fHxcWV28HWjRs3sG/fPtSoUQM9evQwWqeinHOt4pzXuLg4uLi4wNvbu8D65dXq1asBGB9cAEBUVBSioqJ0f0ulUkycOBELFiyAnV35usDY1OdzRT7nhX3JAirWOaeyY6tjJ4DjJ1saP9ni2Ang+MkYWxk/ceyUpzyOn8rPs4yKJDk5GQD0LmF8mpubm65ORaFWqzF8+HBkZWVh/vz5sLe3121r3rw51q1bh/j4eGRkZCAuLg6zZ89GUlISXn31VZw7d86CkRfNqFGjEB0djUePHkGlUuHYsWN45ZVXsHv3brz66qu6y5dNeQ48Xa88WrNmDTQaDd566y298w1UrHP+tOKc1+Tk5Ar7PPj++++xa9cudOnSBT179tTb5uTkhNDQUJw9exYqlQoPHz7Er7/+inr16mHhwoX45JNPLBR10RX1+VxRz/n169dx4MAB+Pr6Gv3SVJHOOZU9Wxw7ARw/2dr4yRbHTgDHT8+yhfETx07/U27HT5aaLItKV2BgoAAg4uLijG739/cXDg4OZRxV6cnNzRXDhg0TAMTo0aNN3u/7778XAET//v1LMbrSl5ubK9q3by8AiN9//10IIcSGDRsEAPHJJ58Y3eezzz4TAMTGjRvLMlSzyc3NFb6+vkIikYhr166ZvF95OOcFTZpYnPMqk8lEjRo1jNa/efOmACC6d+9ulthLoqiTRf7+++9CJpOJWrVqibt375p8nHv37glPT0/h4OAgnjx5Usxozau4E2Xm93yuqOd85syZAoAIDQ0t0nGs8ZyT9bG1sZMQHD/Z2vipIo+dhOD4ydbGT7Y6dhLCdsZPvLKqgtJmhfPL/qpUqnwzx+WNEAKjR4/G+vXrMWzYMCxfvtzkfUeOHAmpVIrDhw+XYoSlz87ODm+99RYA6PpiynPg6XrlTVRUFG7evIkuXbqgdu3aJu9X3s95cc6rUqmscM+DPXv24I033kDVqlWxf/9+VKtWzeR9vb290bNnT2RnZ+PkyZOlGGXpy+/5XBHPuUajwdq1a2FnZ4dRo0YVad+KdM6p9NjS2Ang+AmwvfGTrY6dAI6ftDh+sq2xE1C+x09MVlVQBd1Xm5iYiISEhHJ5n/2zNBoN3n77baxevRpDhgzRvRBN5eDgAFdXV6Snp5dilGVDO9eCti+F3Vtd2L371s6U+66NKe/nvDjntV69ekhNTcX9+/dNqm/tdu/ejX79+sHLywsHDhyAv79/kdt49vVSXuX3fK5o5xzIO++3b99GYGAgfH19i7x/RTnnVHpsZewEcPz0NFsaP9nq2Ang+Ang+EnLlsZOQPkePzFZVUF16tQJABAZGWmwTVumrVNeaTQahISEYM2aNRg0aBB+/PFHg3vvCxMXF4fExET4+fmVTpBl6Pjx4wCg60u9evVQvXp1HD58GGlpaXp1MzMzERsbi+rVq6Nu3bplHWqJPX78GL/88gs8PDzw2muvFWnf8n7Oi3NeC3o/2LNnj14da6cdaLm7u+PAgQPFfv6eOHECAMrt80Arv+dzRTrnWsX9kqVVUc45lR5bGDsBHD89y1bGT7Y8dgI4fuL46X9saewElPPxU5nfeEhlQq1WC39/fyGXy8WZM2d05SqVSjRq1EhIpVJx+fJlywVYQrm5uSI4OFgAEAMGDBBqtTrfuiqVSpw7d86g/MmTJ6JDhw4CgPjiiy9KM1yzuXjxokhMTDQoP3jwoFAoFEIul4sbN27oymfNmiUAiKlTp+rV15bPmjWrtEMuFd98840AICZOnGh0e3k/54Xdh17U83r58mUhlUpF/fr1RVJSkq78woULwsnJSdSpU6fA11BZKazfu3btEnK5XHh7e4tLly4V2t7x48dFdna2QfnXX38tAIiGDRsKjUZT0rDNoqC+F+f5XFHOudbDhw+FTCYTXl5eIisrK9965emck/Wp6GMnITh+epYtjZ8q+thJCI6fbG38ZKtjJyFsZ/wkEeK/S19QhXPgwAEEBQVBLpdjyJAhcHNzw/bt23H9+nV8/vnn5WYlB2PCwsIQHh4OFxcXvP/++5BKpQZ1+vXrh+bNmyM+Ph61a9dGy5Yt0aRJE1SpUgV37tzBrl278PjxYwQGBuL333+Hg4ODBXpSNGFhYZg/fz66du0KPz8/yOVyXLhwAZGRkbCzs8Py5cv1suZpaWlo3749zp49i8DAQLz44os4d+4cdu3ahebNm+PQoUNwdna2YI+Kp0mTJrhw4QL++usvo0tsl8dzHhERgUOHDgEAzp8/j9OnT6Ndu3a6X7769euHfv36ASjeeZ0zZw5mzpwJX19f9O/fH2lpadi0aRMyMjKwZ88edO7cuUz7q2Vqvy9duoTmzZsjKysLgwcPxnPPPWfQlp+fn96S5AEBAbh06RI6deoEHx8fZGRk4OjRozhz5gzc3d2xd+9evPDCC2XST2NM7Xtxn8/l/Zw/7euvv8aHH36IyZMn4+uvv863bWs/52T9KvLYCeD4yZbHTxVx7ARw/ATY1vjJVsdOgI2On8o8PUZl6vjx46JHjx5CqVQKR0dH0bJlS7F+/XpLh1ViI0eOFAAK/KfNNCcnJ4vx48eLF198UXh5eQmpVCqUSqVo3769WL58ucjJybFsZ4ogOjpaDBw4UNStW1e4uroKmUwmatasKQYPHiyOHz9udJ+kpCQxadIk4ePjI2QymfDx8RGTJk3S+8WgPDl+/LgAIFq3bp1vnfJ4zgt7Tj+7ekdxzuv69etFy5YthaOjo1AqlaJHjx7ixIkTpdyzgpna7wMHDhT6mu/UqZNe2ytXrhQ9evQQNWvWFAqFQigUCvHcc8+J999/X9y6davsO/sMU/tekudzeT7nT3v++ecFAPH3338X2La1n3MqHyrq2EkIjp9sdfxUUcdOQnD8ZGvjJ1sdOwlhm+MnXllFRERERERERERWgxOsExERERERERGR1WCyioiIiIiIiIiIrAaTVUREREREREREZDWYrCIiIiIiIiIiIqvBZBUREREREREREVkNJquIiIiIiIiIiMhqMFlFRERERERERERWg8kqIiIiIiIiIiKyGkxWERERERERERGR1WCyioisip+fH/z8/CwdhtWTSCQICAgoURsBAQGQSCQm14+OjoZEIkFYWFiJjluYbdu2QSKR4Pjx4yVuKyAgAG3atIEQwgyRERERWR+OnUzDsZNpOHYia8FkFVEFFh8fD4lEovdPJpOhRo0aGDhwIE6dOmXpEIn0qNVqTJ8+HT179kSbNm105QsXLoREIsGoUaOM7vfo0SNUrVoVbm5uuHnzpq48NDQUJ06cwObNm0s9diIiKv84dqLyhmMnqqiklg6AiEpfnTp1MGzYMABAWloa/vzzT/z000/YsWMH9u7di44dO1o4Qiqqf/75B05OTpYOw+zWrl2LK1euYOXKlXrlH3zwAXbs2IE1a9bg9ddfR+/evfW2jxs3Dg8fPkRERAR8fX115Z07d8aLL76IWbNmYfDgwUX6NZSIiGwXx04VD8dOHDtR+cIrq4hsQN26dREWFoawsDAsWLAA+/fvx7x586BWq/Hpp59aOjwqhgYNGugNLCqK5cuXw9fXF506ddIrt7Ozw9q1a+Hs7IzRo0fjyZMnum0bNmzAzz//jFdeeQVvv/22QZvDhg3DlStXsG/fvlKPn4iIKgaOnSoejp04dqLyhckqIhul/WD6888/DbatXr0affv2hZ+fHxQKBTw8PBAUFIQDBw4Y1H36XvzTp08jKCgIrq6uUCqVeO211xAfH2/0+L/88gtatWoFR0dHVK1aFaNHj0ZiYmK+8T5+/BiTJk1C7dq1IZfLUaVKFQwaNAh///23Qd3g4GBIJBJcu3YNX331FerXrw9HR0c0bNhQd0mzWq3GrFmzULt2bSgUCjRt2hR79uwx5aHDqFGjIJFIcPDgQaPb58yZA4lEgh9//FFXVtzH9OjRowgKCkKlSpX0ftkyNu/Cv//+i6lTp+KFF16Ap6cnFAoF6tevj48//hipqan59iczMxNTp06Fj48PFAoFmjRpgtWrV5v0WGg9fPgQkyZNQt26dSGXy+Hl5YU33ngDFy5cMLmN8+fP4/Tp03jjjTeM/orn7++P+fPn4/79+xg/fjwA4N69e5gwYQIqVaqEiIgIo+0OHDgQALBmzZoi9YmIiOhpHDtx7KTFsRNRGRBEVGFdv35dABBBQUEG2x4+fCgACKVSabBNoVCINm3aiLffflt8/PHHYvjw4cLV1VXY2dmJHTt26NU9cOCAACB69eolnJycRM+ePcWUKVNEly5dBABRp04dkZGRobfPunXrBADh5uYmRo8eLT766CPx/PPPixdeeEFUq1ZN1KpVS69+QkKCqFu3rgAgAgICxMcffywGDx4spFKpcHZ2FkeOHNGrP3LkSAFA9O3bV3h7e4vRo0eLsWPHikqVKgmJRCJ2794t+vTpI2rXri3effddMWrUKKFQKISDg4O4du1aoY/r/v37BQAxZswYo9uff/554ezsLFJSUkr0mAYGBgqZTCa6d+8uPvroIzFo0CBdHQCiU6dOevvNmzdPeHh4iDfeeENMmjRJvP/++6JNmzYCgHjppZdEdna2Xv1OnToJAKJ3797C19dXTJo0Sbz33nuiSpUqAoCYO3eu0bhCQ0P1yq9cuSJq1qwpJBKJCAoKElOmTBHDhw8XTk5OwtnZWRw7dqzQx1QIIb755hsBQGzZsiXfOhqNRnTr1k0AEFu3bhU9e/YUAMSPP/5YYNu+vr6iWrVqJsVBRES2i2Mnjp04dsrDsRNZGpNVRBVYQQOu2bNn6wZKzzI26Lh7966oXr26qFevnl659kMYgNi8ebPetuHDhwsAYtOmTbqy5ORk4ebmJpydncXly5d15dnZ2aJjx44CgMGAa9SoUQKAmD59ul757t27BQBRr149kZubqyvXDrjq1asnHj58qCs/duyYACAqVaok2rdvL1JTU3XbtmzZIgCIiRMnGvT9WRqNRvj4+Ah3d3eRlZWlt+3UqVMCgBg2bJheeXEf01WrVhmNwdiA6/bt2wbxCCFEeHi4ACDWr1+vV64dcDVs2FCoVCpd+b1790S1atWEVCoVV69eNYjr2QHXyy+/LKRSqYiMjNQrv3z5snB1dRVNmjQx2odnDRgwQAAQcXFxBda7efOmcHNzE3K5XAAQr732WqFtv/baawKASQNqIiKyXRw7cewkBMdOQnDsRJbHZBVRBaYdcNWpU0eEhoaK0NBQ8eGHH+o+aKtUqSL+/vtvk9ubMGGCACDi4+N1ZdoP4Y4dOxrU126bPHmyrkz7y+CECRMM6h88eNBgwJWVlSUcHR2Fp6enSEtLM9gnKChIABAHDx7UlWkHXGvXrjWo7+/vLwCImJgYvfKcnBwhk8kMBjH5mTZtmgAgtm/frlf+wQcfCABi9+7dJrVT0GPaokWLfPczNuDKz+PHjwUAERwcrFeufR5s2LDBYJ8FCxYIAGL27NkGcT094Dp9+rQAIN5++22jx548ebIAIM6fP19onG3bthUA9AZ/+fn4448FACGXy8WDBw8KrT927FgBQMTGxhZal4iIbBfHThw7CcGxkxAcO5HlcTVAIhtw9epVhIeH65VVqVIFBw8eRP369Q3qX7t2DfPmzcP+/ftx584dZGVl6W2/e/cuatWqpVf2wgsvGLRTs2ZNAEBSUpKu7Ny5cwCADh06GNRv27YtpFL9t6VLly4hIyMDAQEBRldwCQgIwJ49e3D27Fm0b99eb1uLFi0M6lerVg3Xrl1D8+bN9crt7e1RpUoV3Llzx2AfY4YPH44vv/wS69evx2uvvQYAyM3NxaZNm+Dt7Y1u3brp1S/OY9q6dWuTYtESQmDNmjVYu3YtLly4gOTkZGg0Gr1jGGPsXGjLzp49W+Axjx07BgC4f/8+wsLCDLZfunRJ99/GjRsX2Nbjx49hb28PV1fXAus9ePBAt+JNVlYWdu7cibfeeqvAfTw8PAAACQkJBdYjIiICOHZ6GsdOhjh2Iip9TFYR2YCgoCDs3r0bAPDo0SOsW7cO06ZNQ79+/XDixAm4uLjo6l65cgWtW7eGSqVC586d0adPH7i5ucHOzg7R0dGIiYkxGCwAgFKpNCjTDp5yc3N1ZcnJyQDyBnzPsre3h6enp16ZSqUCAFStWtVo37y9vfXafZqbm1u+MeW3Ta1WGz3Osxo1aoQWLVpg586dSEpKQqVKlRAVFYUHDx5g8uTJsLe319Ut7mOaX5/zM3HiRCxduhQ+Pj549dVXUa1aNcjlcgBAeHi40WMAxs+F9tjGHtenaVeW2blzJ3bu3JlvvbS0tELjd3R0RG5uLtRqNWQyWb71xowZg8ePH2P+/Pn44osvMGnSJHTv3h01atTId5+MjAwAqJBLVhMRkflx7GQYE8dO/8OxE1HpY7KKyMZUrlwZH374IZKTk/H5559j5syZWLRokW77N998g8TERKxfvx5Dhw7V23fs2LGIiYkp0fG1A7OHDx8abMvNzcXjx4/1Pji1A6MHDx4YbU9bbmwAVdqGDx+OyZMnY9u2bQgJCcH69et15U8r7mNqbFWX/Dx8+BDffvstmjZtiqNHj+oNLO7fv2/w6/Cz+/r4+OiVaR9XYwPpp2kf9yVLluC9994zOV5jKleuDCBvEJffYHPdunX49ddf0bdvX3z00UeoXr06hg0bhtGjR+OPP/7It23twFB7DCIiIlNx7GQ+HDtx7ERkKjtLB0BEljFjxgxUr14d3333nd4SyVevXgUAvPrqq3r1NRoNDh8+XOLjNmvWDACMLl189OhR5OTk6JU1aNAACoUCJ0+eRHp6usE+2sHKs5eml4UhQ4bA3t4e69evR1paGnbs2IFGjRoZxFLajymQd6m8EALdunUz+AUsv2WiC9quLSvscW3Tpg2AvHNXUk2aNAEAxMXFGd1++/ZtvP/++/D09MSKFSsAAEOHDkXfvn2xa9euApdXvnz5MmQyGRo0aFDiOImIyDZx7FRyHDtx7ERkKiariGyUo6Mjpk2bBrVajdmzZ+vKtff+Hzp0SK/+l19+iQsXLpT4uH379oWbmxtWr16Nf//9V1euVqsxc+ZMg/oODg4YMmQIEhISMG/ePL1te/fuxa5du1C3bl20a9euxLEVlXZ+hdjYWPznP/9BWlqawS+DQOk/pk8f48iRI3pzLdy+fRsff/xxgfvOmTMHKSkpur8fPHiAhQsXQiqV4s033yxw39atW6NNmzbYtGkTtmzZYrBdo9GY/Ityp06dAAAnTpwwuv3tt99GcnIyvv32W71fD1esWAFPT09MmjQJt2/fNthPrVbjzJkzaNmyJS9lJyKiYuPYqeQ4duLYichUTFYR2bAxY8agevXq+OGHH3S/YI0dOxYymQyvv/46goODMWXKFLRr1w6fffYZevXqVeJjKpVKLF68GGlpaWjVqhXeeecdTJ06Fc2aNUNKSgqqVatmsM+XX34Jf39/fP755+jatStmzJiBN998Ez179oSTkxPWrFkDOzvLvJ0NHz4cQgiEhYXBzs7O4FJ1oPQfUyBv8tM33ngDx44dQ8uWLfHRRx9hxIgRaNq0qdHJUp/m7++Pxo0bY/LkyZgwYQKaNm2Ke/fuITw8HP7+/oUee9OmTfD19cXgwYPRtm1bvPfee/jwww8xcOBA1KpVC0FBQSb1oWvXrnB1dcXevXsNti1fvhyRkZHo378/Bg0apLetatWqWLJkCZKTkzFmzBiDfWNjY5GVlYV+/fqZFAcREVF+OHYqOY6dOHYiMgWTVUQ2TKFQYPr06cjJydHdl9+iRQtERkbixRdfxPbt27F69WpUqlQJhw8fRsuWLc1y3JEjR+L//u//UK9ePaxbtw7r1q1Du3btsHfvXjg4OBjUr1y5Mo4fP46JEyfi6tWr+OqrrxAVFYW+ffvi+PHjBivZlKXXXnsNLi4uUKvV6NSpk24Vn6eVxWMKAGvXrsWUKVOQmJiIJUuW4NixY5g8eTI2bdpU4H5bt27FwIEDsXXrVnz//feoXLkyIiIiMGPGDJOOW7t2bZw5cwYzZ85EamoqVq9ejRUrVuDs2bPo2LFjocfXcnFxwZtvvomoqCi9eTmuX7+Ojz76CFWqVMGyZcuM7jtkyBC8/vrr2LVrF1avXq23bf369XBwcCh01RsiIqLCcOxUchw7cexEZAqJEEJYOggiIiIA+Oeff9CkSRPMmTMH06ZNK3F7SUlJ8PX1Rf/+/Q0GYkRERETlHcdOVFHxyioiIrIazz//PEaNGoWvv/7apCWbC/PNN98gNzdXb24RIiIiooqCYyeqqKSWDoCIiOhps2fPRvXq1REfH49GjRqVqC13d3f88MMPekt6ExEREVUkHDtRRcTbAImIiIiIiIiIyGrwNkAiIiIiIiIiIrIaTFYREREREREREZHVYLKKiIiIiIiIiIisBpNVRERERERERERkNZisIiIiIiIiIiIiq8FkFRERERERERERWQ0mq4iIiIiIiIiIyGowWUVERERERERERFaDySoiIiIiIiIiIrIa/w8m26/qXAHokgAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1400x500 with 2 Axes>"
       ]
@@ -272,7 +273,7 @@
     "axes[1].step(ecdf(H)[1], ecdf(H)[0], \n",
     "             color='cornflowerblue', label='Number of heavy vehicles, H')\n",
     "axes[1].set_xlabel('Random variable (X)')\n",
-    "axes[1].set_ylabel('${P[X \\leq x]}$')\n",
+    "axes[1].set_ylabel('${P[X \\\\leq x]}$')\n",
     "axes[1].step(ecdf(C)[1], ecdf(C)[0], \n",
     "             color='grey', label='Number of cars, C')\n",
     "axes[1].set_title('CDF', fontsize=18)\n",
@@ -335,7 +336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "id": "9ff84ed1",
    "metadata": {},
    "outputs": [],
@@ -372,13 +373,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 30,
    "id": "a344a7cb",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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AgwcPcvDgQUwmE/7+/gwePBhPT088PDysv1a8/Pz8rHdRRUREGpKm3n8KCgrioYceAqBbt24cOHCAd999l5ycHACWLFnCkiVLeOaZZ/D29ua2226zrhxYWlpKbm4uOTk52NraWs/p5+dHSEgI2dnZnD9/npKSEvLz88nPzycpKQl7e3vrsdHR0dbClb29PW5ubhQVFfH999/j4eHBkCFDrP2fkpISbG1tdXNMRETqpSZbjLrmmmt49dVXWbNmDVOnTq20b82aNdZjakJUVBRRUVGUlpbWyPmkZpjNZpo1a8a99957wf2PPPIIP//8s3XOrIrHDjMyMnj//fdxdXW1vg4dOsSRI0cACAkJYdCgQWRkZJCRkVHlvIMGDWLkyJEAZGdns3r1ajw9PfH29sbHxwcfHx9cXFzUeRQRkXpH/af/U9F/eOWVV1i6dCnnz5/nwQcftG4D2LhxI++88w6+vr6VRjv90ZAhQxgyZAhQfkOsoKCArKwssrKyyMvLq1S4srW1xdHRkYKCAoqKikhLSwNg7969mEymSm2/YsUKDh48iJubW6VHACtujrVp06bSuUVEROpSky1GjRgxgtatW7No0SIefPBBevToAZQXB+bOnYvZbGbmzJk18l2RkZFERkY2qqHrTYGbmxuTJk264L5JkyZx9OjRKpO/z58/n0WLFvHWW29VGhX1x19ffPFFnnzySQB8fHwuuAqig4MDPj4+9O/fn65duwJYJ1T94x1SERGRuqT+U1Vubm7MmDEDKB/l9PPPP/Pxxx8DsGzZMpYtW4aXlxfHjh370+kMTCaTdQR2xYiqP5o4cSITJ06kqKiIrKws0tPT2bRpE6GhoRQXF1cqLmVlZVlvol3o5tjs2bOtv//55585d+5cpZHcFS83NzcVrUREpMY1qmLUxx9/zMaNGwGsQ5g//vhjoqOjgfICQkVxwWw28/HHHzNmzBiGDBnCtGnTcHd3Z8mSJcTFxfHSSy/Rvn17Iy5DGoCgoCDrijp/NGrUKN544w1yc3Or7OvYsWOVu7seHh7k5ORYR0Y1b94cZ2dnCgsLOXPmDM8//zylpaUsXLiQjIwM5s2bh7u7u3UEla+vLwEBAfj7+190uWsREZFLUf+p5kydOpWpU6dy3333MWHCBNLT0yksLCQjIwMfHx+cnZ2ZM2cOTzzxxFV9j729Pb6+vnh4eHDw4EEGDRpUZXqC2267jezsbLKysqyPAGZlZVkfBfxjgSkhIYGEhIQLfpeNjQ3PPvssNjY2QPnPSF5eXqWClZOTk0Z0i4hItTSqYtTGjRuZP39+pW2bNm1i06ZNQPnjU38c6TJ8+HA2btzInDlzWLx4MUVFRXTu3Jm5c+cyffr0uowujUhgYOAFt587d47t27dX2R4dHc1rr71mfW82m/Hy8sLX15czZ85w/vx5PD09mTFjBqGhodah+3FxcZXOM2HCBOv8HSUlJSQnJ9OsWTPdzRQRkUtS/6nm9erVizNnzgBwyy23sHjxYgDy8vJ48skn+fLLL2nWrBnz58+3LqxS0yr6E15eXn967LXXXktaWlqlglXFy8XFxVqIAtixYwcnT56s9Hk7OzvrCPBbb73VWphKSUnBbDbj7u6u/oiIiFTSqIpR8+bNY968edX6TN++ffnpp59qJ5DIH/j6+jJ27Ngq28eOHcvUqVNJSkqqsq9i9Z6KRwCdnJwqjYry9/endevW2NnZ8cEHH1BQUEBZWRk2Njbs378fW1tbAgICaNasGYGBgTRr1oyAgADDl/wUEZH6Q/2n2vXVV1/x5ptvsnfvXiZMmADA7t27AVi7dm29KOC1atWKVq1aVdleMYfVH7Vu3RpnZ2drsSo3N5fi4mJSU1MpLCysNELqhx9+4OTJk5hMJtzd3fH09LS+vLy86N69e61fm4iI1E+NqhhVX9X3CTjFeBVzbvy3kydP8tNPP1X52UlISOAf//iH9b29vb11Tiko/0dCUFAQ9vb2nDlzxnp3Fsrno7j99tsJDQ0FoLi4GLPZrOH1IiJSrzSW/pPJZLI+3n/gwAESExMZO3YsFouFOXPm8O677zJ16lTrKn31ScUcVn80dOjQSu9LSkqso6kqFn354+dtbW0pLS21Fq8qRlW5ublVKkZ999131qkL/vvl5uZWaXSWiIg0fCpG1YGGMgGn1D8BAQEXnQi2X79+HDx4sMr2xx57jG3bthETE4OnpyeBgYGVXi4uLhw4cMBaoDp+/DgJCQl4enrSsWNHQkJCaNmyJY6OjrV5aSIiIpfUGPtPYWFhhIWFceedd/LJJ59w/Phxjh8/zsGDB7n22mtxd3e/4Ail+sxsNuPt7X3Bydn/8pe/YLFYyMnJITMzs9Lrv0dpnzp1ivPnz1/wOzw8PHj44Yet7/fs2QOAl5cXLi4u1gVlRESk4VAxSqSBioiIICIiosr2cePG8eCDD+Lj41PpLmJJSQlvvPEG7u7uZGVlWbdPnTqVjh07kpaWVmmOkICAAIKCghgxYoQKUyIiIjXonXfe4cYbbyQ2NpbHH3+c8+fP061bNwAWLVrEtGnTDE5Yc0wmE25ubri5uV1w8ZcKkydPJiMjo0rR6vz587i7u1c69tdff61UuDKZTJw6dQofHx8CAwMZPny4dV9paanmqxIRqYdUjBJpZNq1a8cDDzxARERElbuOLVu2ZPny5ZWWi965cye//PILLVu2JDg4mNDQUDw8PEhKSuLUqVPcc889BAcHs3r1auuk6aGhoVU6hiIiInJ5nJ2diYiIYMyYMfz888/s2rXLOnfkrbfeyjfffMOJEycYP348eXl5dO7cmeDgYFxcXGjVqhU2NjYXXTClobrYSsVlZWUUFhZa31ssFtq0aUNGRgYZGRmcP38ei8VCeno66enp5OfnVypGRUVFUVJSYp3M3cvLC29vb+uvWo1YRMQYKkaJNCFvvPEGb7zxRpXt0dHRDB8+nJ07dwLg6upKUFAQrq6u1jmnfH19+fvf/24dJVVQUEBWVha9e/dm2rRpVeaUEBERkUuztbW1TgT/0ksv8dxzzwGwdOlS4P8eR7uYXr16cezYMQYMGEDz5s0pLi5mzJgxAPTv3x9HR0f8/PxwcHCoxauoXTY2NpX6GCaTieuuu876vrCwkOXLl9OjRw+ys7MrXWtpaSmZmZlYLBays7NJSEiodO6WLVty1113Wd//9ttvODk5WYtWHh4eGlUlIlJLVIwSEYYNG0ZCQgJpaWlV9o0ZM4bk5GRKS0vZsWMHISEhBAYG4ujoiKOjI6dOneL1118nLCyMKVOmGJBeRESk4XvkkUcIDQ0lJyeHTZs24enpSWJiItHR0QQHB7Nnzx5MJlOl+ZEqbiKtXr3aum3hwoVVzu3l5YXFYsHGxobrr7+euLg4RowYgclkonPnzoSFheHp6Vlp5HRDYWNjg4ODA6GhoVVGhNvY2PDYY4+RkZFBenq6dTRVxeuP81yVlZURHR1NWVmZdZvJZMLT0xMfHx9CQ0MZOHCgdZ/FYtHiLyIiV0HFqDrQWFaDkcbtYsPj9+7dy+rVqyt1zsrKytizZw+HDx+mTZs2+Pv7M3/+fG655RagvPN38803M3nyZEaPHo2bm1udXYeIiDQOTa3/5OLiwvTp0wH461//esljY2NjOXnyJKdOneLnn3+ma9euLFq0iKCgIDZt2kRubi729vYUFRUBkJGRYf3svHnzAFi/fv0Fzx0YGMjZs2d58MEHyc3NZciQIbRs2ZLQ0FCCgoIwmUyYzQ3jnxAmkwlnZ2ecnZ1p0aJFlf1/LOyVlJTQp0+fSoWr0tJSa+Hqj/NnlpWV8dprr+Hm5oaPj491AncfHx98fHxwd3dXoUpE5E80jL9JGrjGuBqMNB0BAQHMmDGjyvb09HQ6dOjA6tWrrUsuV3TqWrRoQYcOHdi/fz/79+/HxcXFOuTdxcWF7t2706xZs7q+FBERaUDUf7q4ilX5iouLCQgIICIigtmzZ1c5rrCwkEOHDlFcXMyaNWswm83s2LEDR0dHiouL+fLLL/Hy8qpUrDp79ixQPsk6wCeffHLBDCNHjiQxMZGZM2fi7OxM69atadeuHe7u7g3m7/g/Fozs7e0ZO3as9X3Fo33p6emkpaXh6elp3Xf+/HmKiopIS0u74KjyLl26MHnyZOt5du3aZS1Wubq6qlAlIoKKUSJyhby9vUlMTCQzM7PKvnvvvZdff/2V9u3b06JFC3Jzc8nNzSUxMZGsrCyef/55Nm3a1GDurIqIiDREDg4OdO/eHYDw8PAq+xctWgSUF0wOHTpEQUEBa9euJSsri4MHD/Lbb78REBDA/v37q3x23bp1ADz11FMX/O6wsDBOnjxJZGQkubm5dO/enZYtW9K2bVvatWtXU5dYa0wmE+7u7ri7uxMSElJpn6enJw8//DBpaWnWYlXFrxkZGXh5eVmPzcrKYuXKldb3dnZ2+Pr64uvra338Lzg4uK4uS0Sk3tC/BEXkijk4OFxwfolHH32UJ598kpiYGPbu3UtAQADNmjXDz88Pd3d3EhMT2b17Ny4uLmRkZJCfn09AQAAuLi6EhoYacCUiIiJNl8lkolOnTgD07Nmzyn6LxWKdCPz3338nKyuLjRs3cubMGSwWCytWrMDT07PSDarY2FgAXn/99Qt+p5OTE/n5+YwcOZL09HQefPBBPD09GTBgAP7+/jV/kTXIZDLh4eGBh4cHrVu3rrSvrKyMkpIS6/uSkhLatGlDeno6mZmZFBcXc/bsWesItOLiYmsxKicnh+XLl1uLVRUvZ2dnjaYSkUZHxSgRqXFDhgzh999/r7I9JyeH7t27c+bMGfr06QPAxIkT6dmzJ4WFhRw9epSePXvyxBNPaNSUiIhIPWEymayjfSZMmADArbfeWuW4srIyYmJiyM/PZ+3atRQUFBAXF8eWLVto3rw5O3bssB6bn58P/N8Iq5kzZ1r3BQUFkZycTNeuXenVqxc2NjbcdNNNmEwmunTpgtlsxtXVFXt7+9q65CtmY2NTKZePjw+33XYbgHUOqrS0NFJTU0lNTaVVq1bWY1NTUzl27BjHjh2rdE5HR0d8fX3p168fXbp0Acrb+o9zXomINDT6156I1BlXV1cGDBhQ6c5pUVER2dnZuLm50aVLF4qLi3n11Vfx9PTEy8sLNzc3TCYToaGhdO3a1bjwIiIickk2Njb069cPKF+p97+VlZVx4sQJysrK2L17NyUlJaxatYr9+/dTXFxsfRzw1KlTAGzfvp3t27cD8P7771c5X0BAAJ6ennTp0oX27dvj7++Pj49PLV3d1bO1tbWOdurQoUOV/d7e3kyYMMFaqEpNTSUzM5OCggISExMrjVpLTExk/vz5eHl5UVJSQnR0tHUUuq+vr27qiUi9p/9LiUidutCS0xaLhbfffpuffvqJLl264OHhQXp6OkePHuXf//639bjjx49XGQ4vIiIiDYONjQ1t27YFoH379kDlEVbp6enExcWRnp7O+vXrcXR0JCoqCl9fX2JjYyut7AuQlJREUlIShw8f5rvvvgNgzJgx9O/fnxYtWjBw4EBcXV0rjT6qz9zd3endu3elbcXFxaSnp5OamlppRcDU1FTKysqsE6j/cUS6yWRi4sSJ1vnC8vLyyM7OxsfHR0UqEak39H+jOtDUliYWqS6TycTkyZP5+eef2bx5M56engQGBpKXl0f//v3ZsmULZrOZ7777js6dO9OhQwfc3NyA8o6tr6+vwVcgIiI1Tf2npsfb2xtvb28ARo0aBVBplcCKR9Py8/PZvn07GRkZ3Hzzzdjb25OXlwfA6tWrWb16daXz+vv7M3PmTHr16sUtt9xSR1dTM+zs7AgICKgyR2fPnj1p06YNSUlJbNiwAT8/P9LS0khJSaGgoAB3d3frsUePHmXZsmWYTCa8vb3x9/fHz88PPz8/62gyW1vbur40EWniVIyqA1qaWOTPBQcH8/33319wX8eOHbG1tSUvL4+YmBhiYmKIi4tj9+7dHDx4kDvuuOOCw/dFRKThUv9J/puNjQ1Q/th/xWOAeXl5/Pjjj7Ru3ZpPPvmEgoICPvjgA/z8/EhJSQEgOTnZOpH63/72N1xdXenQoQPXXXcdwcHBTJgwocFNEF4xibqzszMHDx4kIiICOzs7LBYLOTk5ODk5WY8tLCzEwcGBwsJC0tLSSEtL4+DBg9b906dPt45YS0lJIS0tzfoIZENrFxFpOFSMEpF67/rrr+d///d/WbJkCT169CA0NNT6Gj9+PKdPnyY9Pd16N1VERESalo4dO/L2228D/ze/VEpKClFRUWRnZ/Ovf/0LwDoXU3x8fKURVK1atcLNzY37778fHx8fbrjhBuzs7Or8Oq6WyWSyjh6v0LdvX/r06UN2djYpKSkkJyeTkpJiffn5+VmP3b9/Pxs2bADA3t6egIAA/P39raOzmjdvrkf9RKRG6P8kIlLvvf7665WWhj5//jx79uxhy5YtAISGhvLKK69UmkuirKyM1NRUhg4dal0BSERERJoOPz8/XnjhBQDmzJnDrl27OH/+PB988AEuLi5888031mNPnjwJwP3332/dFhISQseOHXnrrbdwdnYmODi4TvPXJJPJhLu7O+7u7rRp08a6/b9X5HN2dqZZs2akpKRQVFTEqVOnrBPKQ/nIsopJ4k+ePElOTg4BAQF4e3tbR66JiFwOFaNEpMHx8PBg6NChODs7M3nyZEJCQqx38aB8JJXJZGLHjh18++23zJo1y8C0IiIiYjR3d3euueYaoLyfAOWTg+/evZvi4mJef/11bG1tWbJkifUz8fHxxMfHs2rVKgBatGjBvffeS5cuXZg0aVKdX0Nt+O/H8Pr160e/fv0oLS0lLS3NOkl8cnIyaWlplW7wbd++3boCotlsxt/fH39/f5o1a0azZs1o2bKl5qISkYtSMUpEGqzevXvz7LPPEhcXx8CBA63bHRwcMJlM9OzZk3PnzrF79266dOmiYeUiIiJiZWdnR58+fQBYtmwZUD5SaO/eveTn5zNt2jTOnz9PRkYGAKdPn+a5556rdI7evXvzt7/9jRYtWjBy5MhGM8eSra2ttbjUtWvXCx7j6+tLixYtSE5Opri4mDNnznDmzBmgvMj1zDPPWI89duwYAIGBgbi4uNT+BYhIvad/mYlIg2UymbjnnnsqbbNYLCQmJvLPf/4TV1dX7OzsWL58OYsXLyY+Pp64uDgKCgqIiIjg5ZdfNii5iIiI1Ecmk4nu3bsDEBcXB5TPPfXGG29w/vx5Pvzww0rH79ixgzvuuAMAR0dH+vfvj5eXF7feeiteXl4MGzas0Y4Ouuaaa7jmmmsoKysjIyPDOooqKSmJ0tLSSjcBf/31V2uhys3NjcDAQJo1a0ZgYCCBgYFapECkCVIxSkQaFZPJRFBQELa2trz11lv06tWLPn364OHhQYcOHUhISGD37t3s3r2bF198UaOlRERE5JL8/Pysc1e+//77nDlzhuzsbJ599lkKCgr48ccfASgoKCA6OhqApUuXWj8/YsQIRo4cyVNPPVXn2euCjY0NPj4++Pj4EBYWdsFj/Pz8KCgoID09nezsbLKzszly5AgAnp6ePPTQQ9Zj4+Pj8fDw0Gp+Io2c/hVWB6KiooiKiqK0tNToKCJNxty5c/H29qZnz57Y2tqSnp5OUlIS999/P5s2bQLKOztFRUV07NhRk26KiNQz6j9JfWQymWjRogUA3333HQAZGRmsW7eO4uJiXnnlFby9vfntt9+sn/n555/5+eefeemllygtLWXGjBmMHz+edu3a0alTJ0Ouo65VzLFVWFhIUlISZ8+e5dy5c5w9exZfX1/rcRaLhcWLF5Ofn4+zszPNmze3vlq0aIGrq6tBVyAiNU3FqDoQGRlJZGQkWVlZGoIqUkfs7Ozo0qULo0aNqrQ0c8W8DwDvvPMOPj4+5OTkcPToUU6ePIm9vT3//Oc/GTx4sBGxRUTk/1P/SRoKLy8vpkyZAsCtt94KQH5+PqtWrSI3N5fbb78dgNzcXAA+/PBD6+N+/v7++Pr60rNnT26++WYCAwMJDw9vtCOCHBwcCA4OrrQy4R9X9CsoKMDLy4vCwkLy8vI4duyYdb4pgM6dO3PTTTdZ3xcWFuqGokgDpWKUiDQpLi4u+Pj4kJGRwf79++nTpw+urq707NmT9u3bExMTw+eff65ilIiIiFwxJycnbrjhBgAmT55MXFwccXFxvPjii9ja2rJlyxYAkpOTSU5OJjY2li+++AKA4OBghgwZQvv27Zk4cSLu7u6EhoYadi217Y+FNycnJ2bNmkVJSQlJSUnWSdFPnz5NSkoKnp6e1mPz8/N5/fXX8fb2xmKxsG3bNoKDgwkMDNQ0DCINgP6UikiTYm9vz4EDB6xLEZeWlpKUlMTp06cBGDZsGGVlZWzdupV+/foZGVVEREQaAScnJ8LCwggLC2P8+PEAZGVlsWXLFrKyspgzZw7u7u7WAlVCQoK1MDVnzhzrecLDw3FxceHll1/GwcGBXr161f3F1BGz2UyLFi2sj0QCFBUVUVJSYn2flJQEQHp6OgDr1q0DyuewCgwMpH///nTp0qUOU4tIdagYJSJNTkBAAAEBAZW2lZWV8eqrr5KQkEDz5s1ZunQp3377baVjOnTowN13312XUUVERKQRcnd3Z/To0QDWx85Onz7Nd999R0FBAU8++SSBgYGcPXvW+pnt27cDVBq9/dhjj5GXl8e4cePqML0x7O3tsbe3t74PCQnh8ccfJyEhgfXr1+Pm5saZM2fIzc3l9OnTFBYWWo9NTk5m/fr1tGzZkqCgIAIDAxvtKociDYWKUSIilN9F8/Dw4MMPPyQ0NJT4+HjrHAb9+vUjICCATz/9lCFDhtChQweD04qIiEhj06JFCx588EEAnnjiCaB8BPdvv/1Gbm4uzz33HNnZ2ZXmUHrzzTcB+M9//kNAQAAdO3bk/vvvx9/fn6FDhzb6+ZScnZ1p06YNhw8fJiIiArPZTEZGBomJibRq1cp6XHx8PLGxscTGxgJga2tL8+bNrcWpkJAQnJycjLoMkSZJxSgRkf/v9ttvJzs7u9Ik51A+vN7GxoYePXqwceNG/P398fLyMiiliIiINBW2trYMGzYMwPqIX05ODv/+979JTU3lX//6l/XYpKQkkpKSWL9+vXVbu3bt8PHx4fnnn8fNzY2BAwc26gKVyWTC29sbb2/vSttDQkK49tprSUxM5NSpU+Tn53Pq1ClOnTrF5s2buf3222ndujUAmZmZlJSU4OPj02gnkhepD1SMEhH5/zw8PHj66aerbD916hQvvvgiQUFBJCYm8u6779KzZ0+GDh2Ku7u7AUlFRESkqXJ1dbX2V+bOncsHH3xA7969mT17Nra2tkRHR1uPPXr0KEePHiUiIsK6rUWLFjg7O/P555/j6OhI165dG3WBCspXLfT39wfKV+9LT0/n1KlTJCYmkpiYWGluqm3btrF582acnZ1p1aoVwcHBtGrVioCAgEbfTiJ1ScUoEZE/ERQUxNq1ayktLeXWW2/FxcWFHTt2sH37dvLy8igtLWX69OmNeiJRERERqX/s7Oxo3bo1AwYMYMOGDUD5o307duygsLCQJ554gqKiInbu3Gn9TMWiLf3797duGzhwIK6urvznP//B2dmZZs2aNdpRQSaTCR8fH3x8fOjRo0eV/SUlJZjNZvLy8jh48CAHDx4EwMHBgaCgIG666SYcHBzqOLVI46NiVB2IiooiKiqK0tJSo6OIyBVyd3dn//79vPHGGwQHB3PttdcSEhLCggULSEpKYseOHZXuRIqIyNVR/0nkytja2tK3b18ANm/ebN1+7NgxsrOzefrppzl48CAJCQnWfb///jsAbdu2tW7z9fUlKyuL119/nY4dO9KrVy/8/Pzq6CqMExERwejRozl79iwnT54kISGBhIQECgsLOXfuXKVJ1CseiQwNDaVFixaaFF2kGlSMqgORkZFERkaSlZWFh4eH0XFE5Ap8+umnLFu2zDqpOZQvMRwYGEhSUhI5OTn88ssvODk50adPH8xm/e9VRORqqP8kUrMqCk2rVq0Cyh9X27x5M8nJycydO7fS6CmA1NRUAB5++GHrtn79+pGfn8+dd95Jr169aNu2LYGBgXVzAXXIbDYTFBREUFAQUL7qckV/r2LEmMViISYmhtzcXKKjo7Gzs6NVq1aEhITQunVrPdYn8if0ryURkcvQp08f+vTpU2X74MGDiYiIoKysjI0bN2KxWFi/fj3BwcH4+fkREBBAt27dDEgsIiIicnEmk4mBAwcCMGnSJOv29PR0zp49yy+//ML7779PWVkZhw4dAmDr1q1A5QLV2LFjcXJyol+/fvTt25cWLVrQvn37OruOumBjY1Ol6FZWVsawYcOIj48nLi6OvLw8jh07Zl3tMDQ0lBkzZhgRV6RBUDFKROQqVNzx2rNnDyaTiWHDhuHu7s7Ro0fZsGEDa9eu5YMPPmDkyJEGJxURERH5cxWr0XXu3JkHHngAgPj4ePbu3cvevXuJiorCw8ODw4cPA/830mrp0qWVztOlSxfGjBnD3/72N9zc3PDx8anbC6lltra2hIeHEx4ejsViITk5mbi4OOLi4oiPj6d58+bWY4uKivjPf/5DcHAwoaGhtGnTRovgSJOnYpSIyFUYNGgQEyZMICEhgZKSEn799Vfatm1L+/btCQwMZMaMGWzfvp0+ffroMRMRERFpkEJCQggJCeH6669n9uzZAMTGxrJ27VqSk5OJioqiZcuWHDhwwPqZ/fv3s3//fv75z38C5Y/4jRo1ig4dOjBy5EgcHBzw8vIy5HpqmslkIiAggICAAPr3709ZWRnFxcXW/SdPnuT8+fPs27ePffv2AeDn50fbtm1p06YNrVq10hQP0uToJ15E5Cq4urqycuXKKttzc3N54okn8PHxobCwkIyMDAoKCiod4+fnp7kEREREpEEKCwsjLCwMgJdffhmAgoICfv/9d3Jzc5k4cSJOTk7k5eUB5Y/4VTzmV8HDw4O7776bTp06cdddd9XtBdQiGxubSivuVTyyFxcXx4kTJzh9+jQpKSmkpKSwefNmxo4dS79+/YDyx/9MJlOjXc1QpIKKUSIitcDFxYXExES+/vpr/Pz8eOGFF6z72rdvz9GjRxkyZIh1FRYRERGRhs7R0ZFrr70WKC+qQPmooKioKPLy8oiKisLGxsa67/z589aRU3fffTctW7akX79+/OUvfyEwMJDevXs3iqKM2WwmNDSU0NBQrr32WvLy8jhx4gTHjx/n+PHjlVYx3LVrF7/99htt2rShXbt2tG7dutIKfiKNhYpRIiK1ZMKECaxevZr09HRrR6pNmzbceuutnDt3jjVr1hicUERERKR2tWrVitdffx2Ad999F4CsrCz+85//kJGRYd0HkJiYSGJiIt999x0A11xzDYMGDaJnz570798fFxeXRvFon7OzM126dKFLly6VVmoGOHHiBOfPn2fnzp3s3LkTW1tbQkNDad++Pe3atcPT09OY0CI1TMUoEZFaMmvWLGbNmlVp2759+/jhhx9o1qwZM2bMYMmSJYwaNQo3NzeDUoqIiIjULXd3d5566ikAXnzxRfbs2cP58+d58skncXBwsD7Ot379+iqjyPv168d1111Hv379GsUCMf898mvixIn06NGDY8eOceTIETIzM62r9JlMJh5//HGcnJwMSitSc1SMEhGpQ127dsXV1ZUHHniA8PBw9u3bx5EjRxg2bBh9+/bVHFIiIiLSpDg6OlrnSxo9ejRQPvn5Z599Rm5uLh988AH29vYUFRUBleeeevjhh/Hw8CAoKMiY8LXA3t6edu3a0a5dO8aOHUtqaipHjhzhyJEjmEymSoWoxYsXYzabyc7OpqioCDs7OwOTi1SPilEiInXM0dGRH374gZ07dzJx4kSaNWvG6tWree+99/jhhx9wcXHhk08+aRR3+0RERESqq0uXLta5pN5//30AEhIS+Ne//kV2djaffvopAG+//bb1Mz/88APt27fnlVdeaTQ390wmE35+fvj5+TFo0CDrXFsA+fn5HDp0yPqY39tvv03btm3p2LEj7du31+gpqfdUjBIRqWM+Pj40b96cM2fO8MEHH9CrVy9GjhzJ1q1bSUtLIy0tjWXLlqkYJSIiIvL/BQcHW4tPkyZNYt26dSxatIjU1FQAli5dCoCbmxt9+/Zl4MCBuLi4GBW3VvyxyObg4MCMGTM4ePAgu3fvpqioiEOHDnHo0CFsbGwYNGiQdTJ5kfpIxSgRkTpmb2/PkSNHOHnypHVbUVERt99+Oy+88ALffvstDg4O7N27l65duzaKVWREREREasp1113Hddddx5tvvsk333zDhg0b+OCDDwCYPXs2UD730rJlywxMWbtsbGwICQmhRYsWFBYWEh4eztGjRzl06BDJycmVJjrPysriwIEDdOrUSROgS72hYlQdiIqKIioqitLSUqOjiEg94eLiQlhYWJXtYWFhuLi44OrqytKlS9m7dy8TJkxQx0FEmhz1n0Tkz9jZ2TFlyhRcXFzo2bMnH374ITt37gTKJz+//fbb8ff354UXXmjUi8WYTCYCAgJo2bIlw4cPJy0trdKosNjYWNasWcOaNWto0aIFXbp0oXPnzo26TaT+axwP09ZzkZGRxMbGEhMTY3QUEWkACgoK2LRpEyUlJRw/fpw333yTcePG0apVKyIiIigpKTE6oohIrVP/SUSq484772THjh1s27YNgMzMTBYuXMi//vUvHnvsMdavX8/58+cNTlk3fHx8cHR0tL738PAgJCQEk8nE6dOnWb16NW+99RYLFixg586d1snhReqSRkaJiNQjHTt2pLS0lJ9//pndu3dz3XXXERISQv/+/QkKCmLFihUcPnyYzp07Gx1VREREpN4JDw/n22+/5eTJk/z9738H4MMPP+TDDz+kXbt27N+/HxsbG8zmpvNP4U6dOtGpUydycnI4cOAA+/fvJzExkbi4OBISEiqN1rdYLJoiQupE0/kTKCLSAEybNo3w8HDrnTuLxcKpU6c4ePAgLVq0YNasWeTm5hqcUkRERKR+MplMTJ48GYB27drx3HPPceTIEfLz8zl69CgODg44OTnx3XffMW7cOIPT1i1XV1f69etHv379yMjI4MCBA+Tl5VUaRTV//nxcXV3p2rUrbdu2xdbW1sDE0pipGCUiUs+0a9eu0vs+ffqQnZ3N3/72N5KTk7nlllsMSiYiIiLScFRMdF5UVES3bt04fPgwAPn5+URERPDiiy/Su3dvxo8fb3DSuufl5cXgwYMrbcvIyLAusHPgwAFcXFzo2rUrPXr0ICAgwIiY0ohpzigRkQbAzc2NVatWsWbNGusKez4+PgwdOhRbW1vMZjOvvfaa0TFFRERE6h17e3sOHDhAZmYmDz74oHX7nDlzmDBhAsnJyZqTE/D09GTWrFn069cPZ2dncnNz2bJlC++//z4ffPCBtZgnUhNUjBIRaSCGDBlCWVkZUD4EfeLEiYwYMYK7774bHx8fVq5caXBCERERkfrJ1tYWDw8PnnzySR5//HHuvfde676AgADs7Ox44YUXSE5OpqCgwMCkxjGZTDRv3pyxY8fy6KOPMnXqVDp16oSNjQ3nzp2rVLArLi629ktFroQe0xMRaSC++eYbUlJSgPK5pI4ePcrGjRtp3rw599xzDydOnKCsrAwbG91nEBEREbmQ5s2b8/rrrwMQFxfH6tWrrftefPFFXnzxRTw9PYmNjSUwMNComIaztbWlQ4cOdOjQgby8PA4cOECHDh2s+7ds2cL27dvp1asXPXv2xN3d3cC00hDpXywiIg2EyWTC398ff39/AgICGDx4MJGRkbi5uWE2m2nfvj0LFixoMssWi4iIiFyNn376ifT0dDZu3IiLi4t1e2ZmJu+++y6LFy+23ghsypydnenTp0+lFQgPHjxIVlYW0dHRvP3223z11VccOXJEo6XksmlklIhIA+bm5karVq14+eWXiYiI4OTJk7z99tuYTCZMJhOlpaWkpKQwatQo7OzsjI4rIiIiUm+YTCa8vLwYNGgQOTk5APTu3ZudO3fyyiuvADBs2DB+/fVXI2PWS3feeSexsbHs3LmTkydPcvjwYQ4fPoy7uzt9+/Zl0KBBRkeUek7FKBGRBs7FxYVdu3YRHx/PjTfeiNls5uOPP6a0tNR6zKhRo5g0aZJxIUVEREQagNmzZ/Of//yH9evXU1xczObNm+nXrx++vr588MEHtGzZ0uiI9YLZbKZbt25069aN1NRUduzYwZ49e8jKytJoMrksKkaJiDRw1157Lf/4xz84ffo0ADY2Ntx9990AfPTRRwQGBpKZmWlgQhEREZGG4YYbbuCGG27gxIkTtGnThsLCQrZt2wbAzTffzH333Uf//v1p166dwUnrD19fX8aMGcOIESOIjY2lWbNm1n1JSUl8//339OvXj06dOmFra2tgUqlPVIwSEWng7O3tee655y64r7i4mKCgIDIzMzW5uYiIiMhlat26Nfv27SMuLo7p06eTnZ3N5s2b2bx5MwD79+/HxcWFkJAQY4PWIxWjpf5o27ZtJCYmkpiYiJubG+Hh4fTu3bvSHF3SNOlfJSIijZTFYsHOzg6TycT58+eZP38+WVlZRscSERERaRC6dOnCddddx7p167j++uvp2bNnpX2hoaHcddddbNu2jdTUVAOT1l/Dhw/nmmuuwcXFhezsbH799VfefvttfvzxRzIyMoyOJwZSMUpEpJEymUwcP36cb775hqKiIhISEnj11VcZPHgwrVq1olWrVjz99NNGxxQRERGp1/r27cvy5cvZsWMHkyZNwtfX17rv008/pV+/foSGhuqm3wW4uroybNgwHn74YW644QYCAwMpKSkhJiaGTz/9VKvvNWEqRomINGLt27fnwIEDvPfee5w5cwZHR0dGjRpFp06dOH36NO+++67REUVEREQaBJPJxNKlS0lJSWHnzp10797d+pheTk4OnTp1YsyYMfz888/GBq2HKh7hmzVrFjNmzKBNmzb06dPHOoWExWIhISEBi8VicFKpK5ozSkSkEfvXv/5Fu3bt6N+/PzY2Nhw6dIi4uDgGDhzI9u3bKSgoMDqiiIiISIPTs2dPdu/eDUBYWBgHDx7kzJkznDlzBltbW0aMGGFswHrKZDIRGhpKaGhopcLT4cOH+frrr2nRogVDhw6lXbt2mEwmA5NKbdPIKBGRRszGxobQ0FB69+5N3759mTFjBtOmTWPgwIGkpaUZHU9ERESkwVuzZg1ffvklEyZMAGD37t3MnDmT2bNnU1RUZHC6+uuPxabMzEzMZjOnT5/myy+/5OOPP+bo0aMaKdWIaWRUHYiKiiIqKorS0lKjo4iI0L59e8zm8v/9FxUV8dZbb1FUVISzs7O1U+Dq6sqUKVO00omIGEb9JxFpKFq2bMnUqVNxd3fn+++/5+zZs8yfPx+Al19+mdDQUO69916eeOIJg5PWX/3796dr165s3ryZbdu2cebMGRYtWkTLli0ZNmwYrVu31kipRkYjo+pAZGQksbGxxMTEGB1FRAQABwcH6+9PnTpFQUEBO3fu5Omnn+aBBx7gjjvu4N///reBCUWkqVP/SUQamtGjR7NgwQJee+21Stvj4uJ48skniYiIYPr06Zw5c8aghPWbi4sLI0eO5KGHHmLAgAGYzWYSExNZu3at0dGkFmhklIhIE9SiRQtee+01duzYQVZWFq6uroSEhPDQQw+xcOFCTp48qSWKRURERKrBbDZz++23A/Doo4+ye/du4uLiuPnmmwH46aefgPLH0x5++GE6dOiAm5ubYXnrKxcXF0aPHs3AgQPZuHFjpVFRxcXFJCcn06JFC4NTytVSMUpEpIn641DxtLQ0Fi9eTHJyMjNnztQdKBEREZGrYDabCQ8PJzw8nN9//50jR45wxx13YLFY+OKLL/jiiy9o1aoVJ06csK4oJ5W5uroyduzYStu2bt3Kzz//TFhYGCNGjFAxrwHTT72IiODj48Ndd91Ft27dMJlMjB49GkdHR0pKSoyOJiIiItKgDRgwgL/85S/89NNPtG/fHk9PTwBOnjxJ586dGTRoEL///ruxIRuInJwcAGJjY4mKimLNmjXqrzZQGhklIiIA2NvbM2nSJGJiYjCbzZw6dYq+fftWOa537958+OGHmkRSREREpBrGjBnD4cOHKSkpoXnz5qSkpHDo0CEABg0axJtvvkmnTp2IiIgwOGn9NXbsWHr27Mm6des4duwY27dvx8bGBn9/fwYOHIitra3REeUyqRglIiJWJpOJ5s2b89prr5GSkkJhYWGVY3bt2sWzzz5LSEhI3QcUERERaeDMZjN79uxh7969vPXWW6xevRqAxx57DID4+HhatWplZMR6LSAggOnTp3PixAnWrFlDUlISv/zyC+fPn2fChAlGx5PLpGKUiIhUcv/999OzZ0+ys7MBsFgsnDhxAmdnZ+68804ALbUuIiIichUCAwMJDAykZ8+evPTSS2RkZLBw4UIAdu/eTWlpKaGhoRqJfgmtW7fmzjvvZOHChWRmZtK/f3+jI0k1qBglIiKV2NjYMGjQIOv7o0ePsm3bNgCmTJnC0qVLjYomIiIi0qj4+/vzzjvvAPDLL79w5swZJk2aBEBkZCTvvvuugenqP5PJhI+PD7feeiuOjo7W7T/99BOOjo4MGTIEs1llj/pIE5iLiMgltW3bljFjxmAymejcuTN33HEHffv2xcnJqdLLzc2N9957z+i4IiIiIg3SjBkz8PLysr6Piopi8ODBTJkyhczMTOOCNQB/nCsqNTWVbdu2sWHDBt5//33i4uIMTCYXo2KUiIhckslkon///tx2220UFxfTokULZs6ciaenJwUFBdZXTk4OS5YsMTquiIiISIP06quvkp6ezpYtW6zbNm3axLfffouXlxfdunXjn//8p4EJGwYfHx+mTJmCq6sraWlpLFiwgOXLl5OXl2d0NPkDFaNEROSytG7dmocffhgPDw/c3d3529/+xm+//cbJkyd59dVXjY4nIiIi0ij07duXrVu3smTJEjw9Pa3b9+3bx2OPPcYbb7zBhx9+SG5urnEh6zGTyURYWBiRkZGEh4cD5fNwRUVFsW/fPiwWi8EJBTRnlIiIVIOvry/33nsv3377LXFxcbRo0YLg4GCCg4MBOHPmDAsWLKjyuebNmzNixAhNwikiIiLyJ0wmE3379gUgIiKCzZs3c+TIEf76178C8MQTTwCwatUq7rvvPj3CdxGOjo6MHz+ebt268f3335OcnMyPP/5ImzZtcHZ2Njpek6dilIiIVIujoyO33noriYmJ1iKUnZ0dALGxsfzlL3+54Oc2btxYaWJ0EREREbk0BwcHhg0bxrBhw8jOzmbfvn3Mnz8fgKVLl7J06VLc3Ny46aabrP0xqSwoKIh77rmHjRs34u3trUJUPaFilIiIVJuNjY21EAUQHh7OE088QWxsLCUlJZWOXbVqFQDnzp2r04wiIiIijcnf//53AO655x4efvhhsrOzOXToENnZ2Zw6dYoWLVrg5uZmcMr6ydbWlmuuuabStiNHjnDgwAHGjRtXaSU+qRsqRomIyFWxWCysXbsWZ2dnRo8ezfTp0/H29rbuHzp0KL/99puBCUVEREQaj4EDB7Jt2zZKS0sxm8v/Sd+pUydMJhNRUVHcd999Bies/0pKSvj+++/Jzs4mPj6em266iaCgIKNjNSmawFxERK6KyWTihhtuwNPTk/T0dD755BMSExONjiUiIiLSqNnY2DB27Fjre4vFwv33388tt9zC7NmzKSsrMzBd/WY2m5kyZQre3t5kZWUxb948Nm/erMnN65BGRomIyFXz8/PjrrvuYtGiRZw9e5b58+czefJkOnbsaD3mYn/BDx48mGbNmtVlXBEREZEGz2QysWLFClauXElGRgZ33303AIsXLwYgMTGRPn36cN1111WaXkHKVcwltXLlSg4cOMCaNWtISEhg4sSJemyvDqgYJSIiNcLV1ZWZM2fy7bffcvToUb7++mvGjRtnHT7+z3/+84Kf6969O7t3767DpCIiIiKNh62tLVOnTsXZ2Zm0tDQeeOABAObPn8/8+fN59dVXWbNmDT4+PgQEBBictn5xcHBg8uTJtGrVitWrV3Po0CHOnTvHrFmzNNF5LVMxSkREaoy9vT1Tp07lhx9+YOfOnRw4cIC///3vmEymKhOb5+bmsmPHDk6fPm1QWhEREZHGwd7enmnTpgHQtm1bFixYwE8//URmZianT5+mc+fO2NjYsGnTJvr3729w2vrFZDLRp08fWrRowTfffENISIgKUXVAxSgREalRNjY2TJgwgcDAQDp37oyTkxPjx4+vclxsbCydO3c2IKGIiIhI4zV27FjGjh1LRkYGI0eOJCEhgfPnz1NcXMyrr75Kz549GTNmDAMGDDA6ar3SvHlz/vrXv2Jra2vdlp+fj42NDQ4ODgYma5w0gbmIiNQ4k8lEeHg4Tk5O1m27d++msLDQwFQiIiIiTYeXlxc7duwgJSWFSZMmAbBixQpefPFFBg4cyODBgxk3bhwHDx40Nmg94ujoiJ2dHVA+IfySJUv45JNPyMjIMDhZ46NiVDUsWbKEUaNG4e3tjclkIj4+3uhIIiINQkxMDMuXL2fevHnk5OQYHUdE6pD6TyIixnvxxRd5+OGHmT59unXbpk2bWLVqFcOHD+fjjz8mJibGwIT1T1ZWFklJSaSkpPDxxx9z6tQpoyM1KnpMrxpyc3MZMmQIN954I/fff7/RcUREGoyWLVvi7OzMuXPn+PTTT7n99tut+3Jzc3nhhReqfMbd3Z277roLDw+POkwqIjVN/ScREeN16tSJt956C4Dnn3+eAwcO8PTTT3P48GGSkpKYNWsW9vb2pKSk4O7ubnDa+sHDw4O7776bL7/8knPnzjF//nwmTZpEly5djI7WKKgYVQ0V/3g6dOiQwUlERBqWwMBA7rzzThYuXEhGRgaffvopw4cPB8qfxX/xxRcv+LmysjIee+yxuowqIjVM/ScRkfqlffv2tG/fnq5du/L888+Tk5PDypUrKSoq4ttvv6V58+YMGzYMR0dHo6Mazt3dnTvuuIMlS5Zw+PBhvvvuO9LS0hg6dCgmk8noeA1avX9Mb+HChfz1r38lPDwcBwcHTCYT8+bNu+RnYmJiiIiIwMvLCxcXF/r27cuiRYvqJrCIiFyQj48Pd955JwEBAeTk5LBmzRr+93//l/vvv7/Kq+KO0/nz5w1OLdIwqf8kIiJ/pm3btixatIgVK1ZYC0933XUX48aN4/HHHzc4Xf1hb2/PzTffbF2FMDo6mtWrVxucquGr9yOjZs+ezcmTJ/H19SUwMJCTJ09e8vjo6GjGjBljXV7cw8ODJUuWMH36dOLj43nmmWfqKLmIiPw3Nzc3Zs6cyZdffklCQgKlpaW8+uqrVYaDP/jgg+zfv9+glCINn/pPIiJSHf/4xz9YsmQJSUlJxMXFsWrVKp588klCQkK49957m/woIBsbG8aMGYOvry8///wz3bp1MzpSg1fvR0Z9/PHHxMfHk5KSwr333nvJY0tKSrj77rsxmUxs2LCBjz76iDfffJM9e/bQuXNn5syZw9GjR63Hz549G5PJdMmXiIjULEdHR2677Tbat2/P8OHDLzkvwfHjx1m9enWVlyaQFLk09Z9ERKQ6Hn/8cTZv3sxLL70EwLFjx3j99de5//77NbH5H/Tu3ZsHH3yQ5s2bGx2lwav3I6NGjhx52cf+8ssvHD9+nDvuuIOePXtat7u5ufHcc88xdepUPvvsM1555RUAHnvsMe6+++4azywiIpdmZ2fH1KlTK/2jtbS0FFtbW6D87hPAl19+yZdfflnl866uriQlJeHs7Fw3gUUaGPWfRETkSkyaNInXXnuN5ORk5s2bR1paGr/99hv5+fn07dsXJycnoyMa7o9zaZ0+fZro6GgmT56sObaqqd4Xo6ojOjoagNGjR1fZV7Ft/fr11m2enp54enrWWp7CwkIKCwut77OysgAoLi6muLi4Rr+r4nw1fd6GRu2gNqigdijXUNqhoKCARYsW0blzZ/r168e0adPYvn07ubm5VY7dvXs3OTk5JCcn06JFi8s6f0Nph9qmdih3Oe3QlNqoIfefmvrPdFO/flAbNPXrB7VBTV+/nZ0djzzyCABr164lLS3NupjM2LFjWbFiRY18T00x8r9/aWkp3377LZmZmcyfP59bbrkFFxeXOs9Rn/4MVCdDoypGVQwhb9euXZV9Xl5e+Pr6VhpmXl3p6ekkJCQQHx8PQGxsLJmZmQQHB+Pt7V3l+FdfffWCK0StWbOm1u7mr127tlbO29CoHdQGFdQO5ep7O6SmpnLu3DnOnTvHgQMHCAgIuOjEmTfddBMlJSX88ssv+Pj4VOt76ns71BW1Q7lLtUNeXl4dJjFWY+g/NfWf6aZ+/aA2aOrXD2qD2rj+oUOHcv78efLz80lOTmbXrl18+OGHuLq61upNiSth1H9/f39/cnJyOHfuHB988AFt27bFbDamzFIf/gxUp//UqIpRFasueXh4XHC/u7s7iYmJV3z+FStWcMcdd1jfjx8/HoDPPvuMmTNnVjn+6aef5tFHH7W+z8rKIigoiNGjR19yjpQrUVxczNq1axk1ahR2dnY1eu6GRO2gNqigdijXUNrBYrHw+++/s379es6dO0erVq249tprLzj3TMW2a6+9tlojoxpCO9Q2tUO5y2mHitE4TUFD7j819Z/ppn79oDZo6tcPaoPavP6IiAj+9a9/sWHDBkaOHElSUhJ/+9vfsLGxYc2aNQwdOrRGv+9K1If//qmpqSxatIicnBwyMjK49dZb6zRLfWiDCtXpPzWqYlRtmzlz5gU7TRfj4OCAg4NDle12dna19kNSm+duSNQOaoMKaodyDaEdhg0bhqOjI6tXr2br1q0UFxczfvx46/xR/+1KrqkhtENdUDuUu1Q7qH1qTl30n5r6z3RTv35QGzT16we1QW1ef9++fQkPD+fEiRNkZ2dTXFzM4cOHGTFiRK1835Uw8r9/YGAgt99+O5999hmnT59m2bJl3HLLLda5UOtKffgzUJ3vb1TFqIo7ehV3+P5bVlbWRe/6iYiI8fr374+DgwMrVqxg586dlJaWcv3111+wIPXOO+9U+X96xbL0LVu2rKvIIg2e+k8iInIpbm5u1hX1pkyZwrfffsv8+fPZunUr48aNY+rUqQYnNJ6/vz/Tpk3j888/5+jRo/z+++8MGTLE6Fj1WqMqRlXMdXD06FF69+5daV9GRgapqakMHDjQiGgiInKZevbsiZ2dHUuWLOH48ePk5ORUejTHycmJ4uJiXn/99Qt+fs+ePXz++ed1FVekwVP/SURELlfFXH/btm1j27ZtfPvttypG/X/BwcFMmTKF3bt3079/f6Pj1HuNqhh1zTXX8Oqrr7JmzZoqfyDWrFljPaauRUVFERUVRWlpaZ1/t4hIQ9SlSxfMZjO+vr5V5oiZN28eP/74Y5XPHDp0iI0bN5KZmVlHKUUaB/WfRETkcs2dO5cuXbqQmprKP/7xD/Ly8nj99ddxcXFh+vTp9W5i87rWvn172rdvb3SMBqFRFaNGjBhB69atWbRoEQ8++CA9evQAIDs7m7lz52I2m6s1Z0FNiYyMJDIyUsPcRUSqoWPHjpXenzlzhoCAAG644QZuuOGGKsd/8sknbNy4sa7iiTQa6j+JiMjl8vf354EHHiAzM5O5c+disVh48skngfKJvOfMmWNwwvrDYrHw66+/4u3tbf27Vf5PvS9Gffzxx9Z/XOzbt8+6LTo6GoBJkyYxadIkAMxmMx9//DFjxoxhyJAhTJs2DXd3d5YsWUJcXBwvvfSSqpQiIg3Q8ePH+fLLL2nfvj2TJ0+u8wkhRRoa9Z9ERKQ2eXp68v7777N582Z27NjBvn37SE9PNzpWvXLw4EF+++03TCYTzs7O+rv0v1x4iaJ6ZOPGjcyfP5/58+ezc+dOADZt2mTdtnv37krHDx8+nI0bNzJ48GAWL17Mf/7zH3x8fFi4cCHPPvusAVcgIiJXq6ysDCj/S/2bb77RYzsif0L9JxERqW333HMPn332Gddffz1QvriMyWSiZ8+eFBcXG5zOeJ06daJbt25YLBa++eYbTp06ZXSkeqXej4yaN28e8+bNq9Zn+vbty08//VQ7gUREpM61a9eOqVOn8tVXX3H48GEWL17MzTffrBFSIheh/pOIiNSVfv36YTabKSkpAWD37t3Ex8dbF8hoqkwmE9dffz15eXkcO3aMr7/+mnvuuafKfKhNVb0fGdUYREVFERYWRp8+fYyOIiLSYLVt25Zp06ZhNps5cuQI33777QVHSJWVlVFSUlLlVTG6SkQaBvWfREQahuuuu4709HSSk5Nxc3MzOk69Ymtry5QpUwgICCA3N5fFixdbi3ZNnYpRdSAyMpLY2FhiYmKMjiIi0qC1adOGqVOnYmtry6FDh1iyZEmVItOPP/6InZ1dpZezszN33XUXZ8+eNSi5iFSX+k8iIg2Hm5sbfn5+2NiUlxiuv/56+vTpw4oVKwxOZjx7e3tuueUWHB0dOX36tEYh/38qRomISIPSpk0bbrnlFmxtba0dHoDw8HBcXV0v+rmMjAx27dpVFxFFREREmqRWrVoBcOjQIbZv3857771ncKL6wcvLi8mTJ2M2m2nZsqXRceqFej9nlIiIyH9r164dd955J82aNbMWpLp3705KSgr5+flVjh8+fDh79uyp65giIiIiTcr69euJiYlh3bp1vP7665SWlmKxWIDyOZSasrZt2/Lwww/j4uJidJR6QcUoERFpkJo3b279vcViYe/evXTr1g1HR8cqx5rN+utOREREpLZ5enoyatQozp07B8DatWuxsbGhRYsWxMTEEBgYaHBCY/2xEFVQUIDZbG6y/VQ9piciIg3eihUrWLZsGT/88IP17puIiIiIGKNnz56VCi+nT59mx44dBiaqXxITE/nggw9Ys2aN0VEMo2JUHdBqMCIitSs0NBSAHTt2sHr1ahWkRBoB9Z9ERBquLl26kJKSQnJyMj179gRg2bJlvP322xw+fNjgdMYrKCggMzOTmJgYjh8/bnQcQ6gYVQe0GoyISO3q1q0b119/PQBbt24lOjra2EAictXUfxIRadicnJzw8/PDzc0NgE8++YRHHnmEW2+91eBkxmvbtq31ZsuKFSsoKCgwOFHdUzFKREQahZ49ezJu3DgANmzYwO+//25wIhERERF5+eWXuf322xkzZgwAaWlpBieqH0aOHImXlxdZWVmsXr3a6Dh1TsUoERFpNPr27cu1114LlE+YqbkJRERERIw1ePBgFixYwNy5c42OUq/Y29szadIkAHbv3s2RI0eMDVTHVIwSEZFGZfDgwQwcOBBbW9sqS+c+/vjj9O/fv9JrwIABfPTRRwalFREREWlazp49y8CBA5kwYQInT540Oo6hgoOD6d+/PwA//vgjxcXFBieqO01zDUEREWm0TCYTI0eOpEePHvj5+QHQokULduzYwdGjRy/4mbNnzzJr1qy6jCkiIiLSpAQGBmIymSgqKmLz5s0AjBgxgkceecTgZMYaPnw4Bw8epFmzZhQVFWFnZ2d0pDqhYlQdiIqKIioqitLSUqOjiIg0CSaTyVqIAvjf//1funXrRq9evTCb/++vvmPHjvHoo4/q/88i9ZD6TyIijUvLli3Zu3cvx44d4+2332b9+vV89913xMfHM3z4cOsja02Nvb09s2bNqjKiv7FTMaoOREZGEhkZSVZWFh4eHkbHERFpUjIzM1myZAn29vb06tWLVq1aWfdpTimR+kv9JxGRxqdLly506dKFdevWsX79ejZt2sSmTZv48MMPyc7OrnTTsClpaoUo0JxRIiLSyLm6uuLj40NZWRlff/01qampRkcSERERadKeeeYZ5s6dy9///ncACgoKNBIWyM7OZvny5cTGxhodpdapGCUiIo2a2Wxm8uTJODk5kZ+fz8KFC8nKyjI6loiIiEiT1bx5c2bPns3zzz9vdJR6ZefOnezevZu1a9dSUlJidJxapWKUiIg0eg4ODrRp0wZvb2/Onz/PwoULyc/PNzqWiIiIiIjVgAEDcHV1JTMzk23bthkdp1apGCUiIk2C2Wxm6tSpuLm5kZKSwpdffqnh4CIiIiJSb9jb23PttdcCsGHDBvLy8gxOVHtUjBIRkSbD09OT6dOn4+joSFFRkXX4c2lpKSkpKVVeOTk5BicWERERaRpuv/127rrrLo4cOWJ0FEN1796dgIAACgsL2bBhg9Fxao2KUSIi0qQEBAQwY8YMZs6ciYODAwBnz57F39+/ysvHx4d169YZnFhERESkcXJwcMDZ2RmAb775hk8//ZR///vfBqcylo2NDaNGjQLKV37Ozs42OFHtUDGqDkRFRREWFkafPn2MjiIiIkBgYCCOjo507NiR9u3b06xZswseV1RU1Oif1xepr9R/EhFp/BwcHPj55595++23iYiIAMpX1mvqWrduTVBQECUlJWzevNnoOLVCxag6EBkZSWxsLDExMUZHERGRP3BxceGzzz7j3nvvZcuWLZSVlVlfd911l9HxRJo09Z9ERJqG/v3789BDDzFo0CCjo9QbJpOJ4cOHM3jwYAYPHmx0nFphNjqAiIiIkSrmjVq1ahXu7u506tQJKO8EiIiIiIgYITQ0lNDQUKNj1BqNjBIRkSZtyJAh9OrVC4AlS5Zw6tQpgxOJiIiINF179uzh9ddf5/vvvzc6Sr1isViMjlCjNDJKRESaNJPJxPjx48nOzubo0aN8+eWXekRPREREpI45OTkBEBMTY31E++TJkwQHBxsZy3AJCQn8+uuvtGrVimHDhhkdp8ZoZJSIiDR5NjY23HTTTTRv3pz8/Hy++OILbGz0V6SIiIhIXbntttt4+OGHmTlzJo6OjgBkZGQYnMp42dnZxMfHExMTY51eojFQT1tERASwt7dn2rRpeHp6kpGRYb07JyIiIiK1z8/Pj7feeovPPvsMT09Po+PUG506dcLDw4O8vDz27dtndJwao2KUiIjI/+fq6sptt93GhAkTyM3NNTqOiIiISJNWWFhIYWGh0TEMZWNjQ9++fQHYsmVLo5k7SnNGiYiI/IGPjw8+Pj7W9wcOHGDp0qVVjuvevTutW7euy2giIiIiTUq/fv0wmUzMnTuXZ5991ug4hunVqxfR0dEkJycTFxfXKPqg1SpG1cQFP/zwwzz44INXfR4REZHaZGtri5OTEw4ODvzP//wP27Ztq7Tfw8ODpKQkHBwcDEooDYX6TyIiItUzcuRIFi5cCJSvIrd69eomXYxydHSkR48exMTEsHXr1kZRjKrWY3rx8fFkZGRgsViu6HXy5EkyMzNr6VLqr6ioKMLCwujTp4/RUURE5DLdfffdTJ48mVatWjFu3DgmTpzIoEGDGDhwIADnz5/Xo3xyWdR/ujLqP4mINF2ff/45WVlZLFiwwOgo9UbFo3pHjx4lOzvb4DRXr9qP6T3yyCM8//zzV/RlTXVlosjISCIjI8nKysLDw8PoOCIichnCw8NZsGABK1euZNeuXfTr14877rgDPz8/zGY95S7Vo/5T9an/JCLStLm5ueHs7Gx0jHrD19eXvn37EhgYaF1tsCFrmr0bERGRy2AymRg/fjyhoaEUFRXx5ZdfNoo7USIiIiLS8IwbN44ePXpgZ2dndJSrVq1bu0ePHsXb2/uKv+xqPy8iIlLXbG1tmTJlCp9++impqaksXrwYOzs7iouLjY4mDYT6TyIiIiKVVWtkVJs2bfDy8rriL7vaz4uIiBjBycmJadOm4ezszNmzZxk/frzRkaQBUf9JRETk6mzdupVWrVoxYMAAkpOTjY5jqLy8PDZv3sz69euNjnJVruoxvd9++62mcoiIiNRr3t7e3HLLLfj6+rJx40aj40gDpv6TiIjI5WnXrh0mk4mioiISEhLYsmVLgy/CXK2UlBTWrFnDpk2bKCoqMjrOFbuqYtSYMWNYtmxZDUURERGp34KDg7nnnntITU01Ooo0YOo/iYiIXJ5u3bqRkJBATEwMvXr1AsBisRicyljBwcF4e3tTXFzMoUOHjI5zxa6qGBUaGsqUKVP48MMPL3pMTk4Oc+bMuZqvERERqTf+uLJZYmIip06dMjCNNETqP4mIiFy+li1bEh4ejru7u9FR6gWTyUSXLl0AOHjwoMFprtxVFaM2bdpE//79ue+++/jHP/5RaV9RURFvvfUWrVu35qWXXrqqkCIiIvVNmzZtWL58OV9//TXnz583Oo40IOo/iYiIyNXo1KkTAMeOHWuwj+pVazW9/+bp6cm6deu49dZbeeGFFzh37hzvvPMOCxcu5IUXXuDUqVN4enqqMyUiIo1OQkICeXl5lJWV8dprr3HmzBksFgsODg489NBDdO7c2eiIUk+p/yQiIiJXIyAgAC8vLzIyMjh+/LjRca7IVY2MAnBwcODbb78lMjKSDz74AH9/f+666y4yMjJ49tlniYuL4+mnn66JrCIiIoYzmUx4eHhQXFzMe++9R05ODg4ODuTn5/P555/z0Ucf8frrrxsdU+o59Z9ERESuzJtvvsmNN97I4sWLjY5iGJPJZB0ddfjwYYPTXJmrGhlVYevWrRw6dAiLxUJmZibNmjVj586dNGvWrCZOLyIiUm/Y2NiwevVq64popaWlFBQUEBYWxl//+lfef/998vPzDU4pDYH6TyIiIpfPz88PgJiYGGJiYti+fTs33HCDwamM06lTJ7Zt21ZpPtOG5KqKUTt27OD5559n1apVAEyfPh1fX1/+93//l5kzZ/Ldd9/h4uJSI0FFRETqi379+tGvXz/r+127drFixQqaNWtGWFiYgcmkIVD/SUREpPreffddxowZw8mTJ5k7dy6FhYVGRzJUixYtePzxxzGZTPz4449Gx6m2qypG9enTB4Bx48bx6quv0q1bNwBCQkJ49NFHGTZsGD/++KO1gtlURUVFERUVRWlpqdFRRESkFvTs2ZPk5GS2bNlCmzZtjI4j9Zz6T5dH/ScREfmjikfa9+/fz9y5c42OYziTyYS9vT3FxcVGR7kiVzWeq3///kRHR/PDDz9YO1IADz30EF988QX79u1j0KBBxMXFXXXQhiwyMpLY2FhiYmKMjiIiIrVk1KhRuLm5sXLlSqOjSD2n/tPlUf9JRETk8hQVFWGxWIyOUS1XNTLq999/v+i+qVOn4uvry4033sjAgQM5e/bs1XyViIhIvWZjY4ODg4P1vcViwWKxNNjn+KX2qP8kIiIiNcFisfDZZ59x9uxZ+vfvT1BQkNGRLlut9pBHjhxJdHR0bX6FiIhIvWNjY8PixYtZs2aN0VGkAVL/SURERC6HyWSyzjMZHx9vbJhqqpHV9C6lV69ebNq0qba/RkREpN5IS0vj0KFDAOzcuRNbW1sAQkNDmTJlCiaTych40gCo/yQiIiKXIyQkhGPHjhEXF8eQIUOMjnPZar0YBdC6deu6+BoRERFDOTk5AbBu3TpKS0u55ppryMvL49NPP7U+btWuXTt69uxpZExpINR/EhERkT8TEhICwKlTpygpKcFsrpMyz1VrGClFREQagMmTJ3Po0CFSU1MByMvLw9nZmbvuuotPPvmEs2fPkpGRYXBKEREREWks/Pz8MJvNlJSUkJiYaC1O1XcqRomIiNQQDw8PXn/9dev7goICPvroI9LT07nhhht4//33DUwnIiIi0nhkZ2fz2GOPkZycTP/+/QkICDA6kiFMJhNubm5kZGRw4sSJBlOM0hI/IiIitcTR0ZGpU6dib2+Pv78/I0eONDqSiIiISIPm5uYGQH5+Pu+88w5fffUVn3/+ucGpjOXq6gpAXFycwUkuX40Wo/bt20dCQkJNnlJERKRB8/PzY9KkSeTl5REbG2t0HKmH1H8SERG5fK1atWLhwoU8/fTTdO/eHYCcnByDUxnLzc2NHj16MGDAAKOjXLYae0xvx44d9OnTh1atWjWoapyIiEht69SpE6tXryYxMdHoKFLPqP8kIiJSfdOnTwcgNTWVPXv2GJzGePb29kRERGBnZ2d0lMtWYyOjKobFJSQkEB0dXVOnFRERaRRKS0utv09OTqawsNDANFJfqP8kIiIiTVGNFKNKS0v58ssv6dWrF/b29k3+eU0REZGLSU1N5aOPPmL58uVYLBaj44iB1H8SERGRmlJSUkJCQgIHDhwwOsplqZFi1KpVq0hNTeXee+9l/PjxfPfddxQUFNTEqUVERBoVe3t7ysrKOHjwIJs3bzY6jhhI/ScRERGpKenp6Xz22WesWLGiQdzwrJFi1IIFC3BwcODmm29m+vTpZGVlsWzZspo4tYiISKPi7u7O2LFjAVi3bh3x8fHGBhLDqP8kIiIiNcXX1xc7OzuKiopIS0szOs6fuupiVFZWFitXriQiIgJ3d3fGjx+Pp6enhpqLiIhcRHh4ON26dcNisfDtt9+SnZ1tdCSpY+o/iYiISE2ysbGhWbNmAJw5c8bgNH/uqotRixcvprCwkNtuuw0of/zgpptuYu3atSQlJV11QBERkcZk5MiR2NnZMW3aNJKSksjNzeXhhx/mqaeeMjqa1CH1n0RERKSmNW/eHIDTp08bnOTPXXUx6vPPP8fLy4sJEyZYt02fPp2SkhK+/PLLqz19oxAVFUVYWBh9+vQxOoqIiBhkwIABAFgsFkpLSyksLOTrr7+moKCA4OBg9u/fb3BCqUvqP/059Z9ERORyrV+/nn/84x+sXbvW6CiGqihGnT171uAkf+6qilHx8fFs3LiRm266CbPZbN1+zTXXEBQUxPz58686YGMQGRlJbGwsMTExRkcRERGDfPDBB5w7d44zZ85YX/v376djx46sX7+eo0ePGh1R6oj6T5dH/ScREfkzzs7OAERHRzNnzhyuu+468vLyDE5lnD8Wo8rKygxOc2lXVYxauHAhgHWI+R9NmzaNvXv36k6viIgIYDKZCAgIIDAwsNKrbdu2/Prrrw1i1ROpGeo/iYiI1IwHHniA66+/nrvuuguAwsJCCgsLDU5lHB8fHxwcHCgpKSElJcXoOJd0VcWozz//nFatWjF48OAq+26//XYsFosm4hQREblMJSUlbNq0iZKSEqOjSC1S/0lERKRmBAcHc+edd/LOO+8YHaVeMJlMXH/99dxxxx34+PgYHeeSrrgYtWXLFo4ePcqtt956wf2dO3ema9eufPHFF7rbKyIichm++uor1q1b1+TnO2jM1H8SERGpXc899xyzZ88mISHB6CiGCAsLIzg4uNJUAPXRFafr37//nz6DuGfPnis9vYiISJPTt29fjh8/zrZt22jVqhVhYWFGR5Iapv6TiIhIzbOxscHZ2Zm8vDyioqIAePnllxk7dizt2rXjrbfewtbW1uCU8kdXvZqeiIiI1Iz27dszcOBAAFasWEF6errBiURERETqP1tbW7777jueeOIJWrZsad2+atUq/v3vf7N7927jwtWxsrIydu/ezY8//khpaanRcS5KxSgREZF65NprryUoKIjCwkK+/fZbzR8lIiIichnGjh3La6+9RlxcHN9//z3z58/Hz88PgPDwcEwmE7NmzeLUqVNkZWUZnLb2mEwmfvrpJ2JiYsjIyDA6zkWpGCUiIlKP2NractNNN+Hk5MTZs2dZvXq10ZFEREREGgyz2cz48eOZMWMG48aNq7Tv448/Jjg4GA8PDz744AO2bdtGXl6eQUlrh8lkwtvbG4C0tDSD01ycilEiIiL1jLu7OzfccAMA+/btIzs72+BEIiIiIg3PvHnzSE5OZv/+/fj5+eHg4GDdd++999KvXz+GDBliYMLaUbGSXn0uRlV7AvP169dzzTXX1EYWERGRJisrK4svvvii0jY/Pz+aN2+Ok5OTQamkpqj/JCIiUvdMJhN+fn74+fmRnJwMwDfffMOzzz5LXl4ep0+f5siRIwanrHkVI6Pq8/yj1S5GjRkzhk8//fSiSxKLiIjI5bOzswMgKSmJ22677YLHfPHFF/p7t4FT/0lERKR+mDJlClOmTOHEiRO0adOGoqIiPvnkk0rH9OjRg969exuU8OpVjIxqVMUoX19fbr/9dk6ePMnTTz99WZ+Jj48nJCSkul8lIiLS6PXq1Yv77ruPY8eOVdm3b98+zp07x7lz5zh27Bjnzp1j8ODBBqSUq6X+k4iISP1ib28PQFFREXfffXelfQ4ODqSkpODm5mZEtKvWEOaMqnYxauvWrURERDB79mzi4+N57733sLG58NRTR44c4ZVXXuHLL7+ksLDwqsOKiIg0Nmazmf/85z8X3Hf77bezcOFCSktLrY/wBQYG0qZNm7qMKDVA/ScREZH6pWXLlrzwwgvs2LGj0vaVK1dSWFjIe++9h7+/PxMnTsTLy8uglFemYmRUVlYWxcXF1pH49Um1i1EtWrRg48aNTJ48mY8++ojExEQWL16Mi4uL9Zi9e/fy8ssvs2TJEkpLS+nevXuNhhYREWlKbG1t6d27Nzt27GDp0qXce++9uLq6Gh1LqkH9JxERkfpnzpw5Vba5uLiQl5fHk08+CYCjoyPvv/8+oaGhDB06tK4jXhEnJydmzpyJt7c3ZnO1yz514opW03Nzc+Onn35i5syZ/PTTTwwdOpRz586xbds2Jk6cSM+ePfnmm2/o3bs3y5cvZ9euXTWdW0REpEkZM2YM/v7+5ObmsmzZMiwWi9GRpJrUfxIREan//v3vfzNp0iTr+4KCAmbOnMk111zDyy+/zPLly8nIyDAu4GUwmUy0atUKNzc3TCaT0XEu6IpLZLa2tnz66aeEhoYyZ84cOnToQE5ODhaLhWuuuYZnn32WkSNH1mRWERGRJsvOzs46qub48eNs3ryZgQMHGh1Lqkn9JxERkfrtzjvv5M477yQ1NZVHH32UlJQUVq1aBcDs2bMBGDVqFGvWrDEyZoN3RSOjKqxevZq1a9cCkJ2dDcBLL73Er7/+qo6UiIhIDfP392fs2LEA/Pzzz5w+fdrgRHIl1H8SERGp/3x9fVmwYAE//fQTixYtYvDgwXTu3BmgQfTBzp49y7p164iJiTE6ygVdUTFq6dKlhIeHExERwaZNm5g8eTKffvop7u7uzJ07l6+++qqmc4qIiAjlq++FhYVRVlbGoUOHjI4j1aD+k4iISMM0bdo0fvvtN959912jo1y21NRUNm3axIEDB4yOckHVfkyvS5cuHDx4EBsbG6ZPn84zzzxDx44dAQgPD2fcuHHcdtttnDp1iscff7zGA4uIiDRlJpOJ6667jrCwMOvdOan/1H8SERGRuuTt7Q1AWlqawUkurNojo44ePcpdd93FkSNHWLBggbUjBeUdrS1bttC5c2eeeuop/va3v2mCVRERkRrm6OioQlQDo/6TiIhI43Hs2DG6du3K8OHDOXXqlNFxLsjHxweAnJwcioqKDE5TVbWLUSdOnODDDz8kNDT0gvsrli4ePnw47733HjfeeCMFBQVXHVRERESqys3NZcmSJZw/f97oKHIJ6j+JiIg0fMHBwZhMJoqKiti/fz/R0dH8+OOPRse6IEdHR5ydnYH6OTqq2sWoFi1a/Okxbm5urFq1iunTp7N8+XKGDx9+ReHqm1dffZXw8HDc3NwICAjg5ptvJj4+3uhYIiLShK1cuZJ9+/axdOlSysrKjI4jF6H+k/pPIiLS8LVu3ZojR46wbt06Bg8eDFCv+18Vj+qlp6cbnKSqq1pN71LMZjMLFizgqaeeYtu2bbX1NXVq/fr1PPDAA2zdupVVq1aRmZnJuHHjKCkpMTqaiIg0YmlpacTFxVV5FRUVMXr0aOzt7Tl58iSbNm0yOqpcJfWfRERE6re2bdsyYsQI/P39jY7ypyoe1auPI6OqPYF5db3yyisXHZLe0KxatarS+08++YTg4GBiY2Pp1q2bQalERKSxe+WVV3jllVeqbA8LC2Pfvn2MGzeO5cuXEx0dTevWrS9rFI7Ub+o/iYiIyNWqGBmVkZFhcJKqam1k1B/NmjXrij+7cOFC/vrXvxIeHo6DgwMmk4l58+Zd8jMxMTFERETg5eWFi4sLffv2ZdGiRVec4WIq5ueo+A8sIiJSkyZOnIiPjw8uLi6VXhXP/8fGxlJQUED37t0JCwujrKyMJUuW1MtJKqX61H8SERGp/1566SW6d+/OCy+8YHSUKvr06cMjjzzC+PHjjY5SRbVGRt16663cdNNN3HjjjVf0ZVfy+dmzZ3Py5El8fX0JDAzk5MmTlzw+OjqaMWPGYG9vz9SpU/Hw8GDJkiVMnz6d+Ph4nnnmmSvK/t/Kysr4+9//TkREBC1btqyRc4qIiPzRTTfdxE033VRle05ODm5ubtb3JpOJCRMmkJiYSHp6OqtWreL666+vy6hyCeo//R/1n0REpLEICQkB4MyZM5w5c4a9e/fi6Oh4wWPt7Oy45ZZb6vzvPicnJ5ycnOr0Oy9XtUZGffXVV+zfv/+Kv+xKPv/xxx8THx9PSkoK99577yWPLSkp4e6778ZkMrFhwwY++ugj3nzzTfbs2UPnzp2ZM2cOR48etR4/e/ZsTCbTJV8XYrFY+Otf/0pcXNyf3mUUERGpC05OTtxwww0AxMfHayW2ekT9p3LqP4mISGPy2muvsWHDBr7++mvrtqeffvqCr8cee4w77riDlJQU9dH+v2rPGbV7924WLFhQG1kuaOTIkZd97C+//MLx48e544476Nmzp3W7m5sbzz33HFOnTuWzzz6zzrvx2GOPcffdd1crj8Vi4f7772fdunVs2LABPz+/an1eRESktoSEhDBlyhTatGmDg4OD0XHkD9R/Uv9JREQaF7PZzJAhQ4DyR9C3bNlyweMWLFhASUkJ69atw9/fHw8PD/bu3UtwcHCtZywsLCQ6Opr8/HwmTpx40RtGRqh2MWrZsmUsW7asyvY/uyiLxVLdr6q26OhoAEaPHl1lX8W29evXW7d5enri6el52ee3WCxERkbyww8/sH79eoKCgq4qr4iISE0LCwszOoJcgPpP6j+JiEjjNWvWrIvO9fjkk08yZMgQkpOTgfLCVdeuXZkwYQK33XYb48aNq7VcJpPJWiQbN25cvbpZWa1i1GeffXbVX9ijR4+rPsfFVAwhb9euXZV9Xl5e+Pr6VhpmXl33338/X331FStXrsTJyYlz584B5RNw2tvbVzm+sLCQwsJC6/usrCwAiouLKS4uvuIcF1Jxvpo+b0OjdlAbVFA7lFM7lGts7fDH67jY3ykWi4WdO3diNpvp3r17pc81lna4UpfTDjXZRuo/1V7/qan/TDf16we1QVO/flAb6Prr//WHhoZy6tQpAK677jrWrFlDVlYWixYtYseOHdUazXwhl2oDk8mEnZ0dxcXFnD9/Hi8vr6v6rsvNcjmqVYz6y1/+AsDOnTuZN28eKSkptGrVimnTplk7ukaqWJ3Fw8Pjgvvd3d1JTEy84vO///77ANaheBV+/fVXhg0bVuX4V199lRdffLHK9jVr1lhXQqppa9eurZXzNjRqB7VBBbVDObVDucbSDvn5+dbfr169+oJ3uTIyMjh58iQ2NjacOHGi0jGNpR2u1qXaIS8vr8a+R/2n2u8/NfWf6aZ+/aA2aOrXD2oDXX/DuP4pU6YQHBxMUlISK1euJCMjgx9//LFGzn2xNqgYhb1u3TpcXFxq5Lsupjr9p2o/prd161auueYaiouLrUPH//nPf/LGG2/w8MMPV/d0DUp1h8o//fTTPProo9b3WVlZBAUFMXr0aNzd3Ws0W3FxMWvXrmXUqFHY2dnV6LkbErWD2qCC2qGc2qFcY2uHnJwc6+/HjBlzwX+gWywWvvjiCxISEsjOzmbixImUlpY2qna4Upfz81AxGqemqP90+arTf2psf7arq6lfP6gNmvr1g9pA19/wrv8vf/kL27ZtY+XKlTg7OxMREXFV5/uzNkhOTubMmTN0796d9u3bX9V3/Znq9J+qXYyaO3cuRUVF3HXXXQwZMoQjR47w7rvv8thjjzFo0CD69OlT3VPWmIo7ehV3+P5bVlbWRe/61QYHB4cL3q22s7OrtT8otXnuhkTtoDaooHYop3Yo11ja4Y/XcKlruuGGG3jvvfdITExk27Zt9O/f/08/05Rcqh1qun3Uf7p8V9J/auo/0039+kFt0NSvH9QGuv6Gdf1mc3kppqysjJKSEsxm81Xnv1gbuLq6AuWPwdd2G1Xn/DbVPfmuXbsYNWoUH330ETNmzOCll15iy5Yt2NraEhUVVd3T1aiKuQ4uNK9BRkYGqampF5wPQUREpDHy9PS0TooZHR1NUlKSwYmaLvWfRERE5L8lJCTg7OyMt7f3RVfju1oVI+hzc3Nr5fxXqtrFqHPnzlW5e9exY0euu+46Nm7cWGPBrsQ111wDlM8p8N8qtlUcU5eioqIICwsz9K6niIg0Td27d6djx46UlZWxfPlyysrKjI7UJKn/VH3qP4mISGPVsWNHWrRoYX2fk5PDW2+9xSeffMKBAwdq9Lsq5olq8MUoi8VywZVP2rVrx5kzZ2ok1JUaMWIErVu3ZtGiRezevdu6PTs7m7lz52I2m5k5c2ad54qMjCQ2NpaYmJg6/24REWnaTCYTEyZMwMXFhbS0tErzTUndUf+p+tR/EhGRxsrDw4OTJ0+SnZ3N7bffDsDixYu5++67GTp0KKWlpTX2XQMHDuTRRx9l1KhRNXbOmlDtOaMuxtHRsdIyvDXl448/tt4x3Ldvn3VbdHQ0AJMmTWLSpElA+XOXH3/8MWPGjGHIkCFMmzYNd3d3lixZQlxcHC+99FKtT9glIiJS37i4uHDjjTdia2tbqdggxlP/SUREpGmytbXF1dWVRx99lPz8fLKzs1m9ejXp6encfPPNuLq68swzz9ChQ4er+p6LrURrtCsqRv373/9m586d9OnTh/DwcMLDw2s6l9XGjRuZP39+pW2bNm1i06ZNAISEhFg7UwDDhw9n48aNzJkzh8WLF1NUVETnzp2ZO3cu06dPr7WcIiIi9Vnr1q0pLi5WMcpA6j+JiIjIf+vRowfffPMNhYWF+Pj4kJuby5IlS4DyEVTvvPOOwQlrR7WLUV26dOHQoUOsWLGCFStWYDKZAHBycgLgzTffpFu3bnTv3p2AgICrDjhv3jzmzZtXrc/07duXn3766aq/W0REpDFKSUnh5MmTDBgwwOgoTYb6TyIiInIpDg4OREdHs23bNn766Se+//77Ghk9nZuby2+//UZpaSnjx4+vgaQ1o9rFqL1791JYWMiePXvYuXMnO3bsYOfOnezfvx+LxcITTzxh7WD5+/vTvXt3evTowf/8z//UePiGIioqiqioqBp97lNERORKFBUV8emnn1JaWkpAQACtW7c2OlKToP5T9an/JCIiTU3FyOn09HS+//77GjlnaWkpW7duxcbGhoiICGt/w2hX9Jieg4MDffv2pW/fvtZtxcXF7N27t1IHa9++faxZs4a1a9c26c5UZGQkkZGRZGVl4eHhYXQcERFpwuzt7enevTs7d+5kxYoV3HfffTg4OBgdq0lQ/6l61H8SERG5ehWr6ZWVlVFQUGAdlW20GpvA3M7Ojt69e9O7d29mzZoFQElJCQcOHGDHjh019TUiIiLyBykpKVUmprS3t7/kP96vvfZaTpw4QWZmJmvWrOG6666r7ZhyEeo/iYiISG2ytbXFwcGBwsJCcnNz600xyqY2T242m+nevTt33nlnbX6NiIhIkxUSEoK/v3+ll5eXFx988MFFP2Nvb8/EiRMB2LlzJ8eOHauruHIZ1H8SERGRmlQxOio3N9fgJP+nVotRIiIiUvNcXFwYMWLERfdbLBbrqmkXExISYn1cbMWKFRQUFNRoRhERERG5OsXFxeTl5VFWVnZV51ExSkRERK6ayWRi7dq1lJWVVXm9/vrrl32eESNG4O3tTXZ2Ntu2bavFxCIiIiJSXZ999hkuLi60a9eOvLy8Kz6PilFNVFRUFGFhYfTp08foKCIi0kiYTKaLvi5XxeN6I0eOZPDgwbWYVqT61H8SEZGmatCgQZXmdjpx4gTHjx+/4vNVzC9an4pRNTaBuVycVoMREZH6Kjg4mODgYKNjiFSh/pOIiDRVw4cPJzMzk+LiYkJDQ0lJSbnq8w0bNqzKojdG0sgoERERAcpXcYuNjTU6hoiIiEiTZ29vj4uLCzY2V1+2cXV1xc3NDVtb2xpIVjM0MkpERKQRWr9+PTfffHOlbRWTX44dO7bK8cXFxXz00UekpKRw22230aZNmzrJKSIiIiJ/7rHHHsPX15f777+fQYMGGR3nqqkYJSIi0oj4+voCkJCQQEJCwgWPefzxx+nXr1+lbXZ2dtZh4CtXruS+++7DwcGh1vOKiIiIyMX5+vqSlJTEmjVrAEhJSbH+/nJlZmayZcsWbGxsGD16dG3ErDYVo0RERBqRadOm4eDgQHp6epV9c+bMIS0tjcLCwgt+dsSIERw5coTMzEzWrVvH+PHjazuuiIiIiFzCkiVLWLNmDTt37uSzzz67aD/uUoqKiti6dStOTk4qRomIiEjNc3BwYNq0aRfc99Zbb5GWlnbRz9rb23Pdddfx+eefs337djp37kxISEgtJRURERGRP9O+fXvat2/PN998w2effXZF53BxcQEgPz+fsrKyGpmH6moZn6AJ0NLEIiLSULRu3ZpevXoBsGLFCoqLiw1OJE2V+k8iIiI1w8nJyfr7vLw8A5P8HxWj6kBkZCSxsbHExMQYHUVERORPjRo1Cjc3NzIyMoiOjjY6jjRR6j+JiIhUtXPnTvr06cPEiRPJzMy8rM/Y2Njg7OwMQG5ubi2mu3wqRomIiEgljo6OTJgwgTZt2mhUioiIiEg9EBwcDEBOTg7bt29nxYoV/Prrr5f9eTs7O4B6M+pdxSgRERGpon379kyfPh1PT0+jo4iIiIg0ef369WPXrl388MMPdO7cGYDS0tLL/rzJZKqtaFdExSgRERG5oD92WrKysgxMIiIiIiI9evQgIiICHx8fo6NcNa2mJyIiIhdVWlrK999/z759+7j33nvx9fU1OpKIiIiIVNOdd95JWVmZdWU9o2lklIiIiFyUjY0Nubm51qKUxWIxOpKIiIiIVJObmxseHh6YzfVjTJKKUSIiInJRJpOJiIgIzGYzJ0+eZM+ePUZHEhEREZEGTsWoOhAVFUVYWJhWJBIRkQbJ09OTYcOGAbBmzRry8vKMDSRNgvpPIiIiNWfDhg2sXr2azMxMo6MAmjOqTkRGRhIZGUlWVhYeHh5GxxERkSZu06ZNnD9/vtI2GxsbhgwZgru7+wU/079/f/bu3UtycjJr165l4sSJdRFVmjD1n0RERC5t+/btmM1msrOz//TYXbt2kZmZSefOnevFaskqRomIiDQRNjblA6KfeeaZC+6PiIjghx9+uOA+W1tbJkyYwKeffsru3bvp3r07ISEhtRVVRERERC7C1tYWgNdeew2Atm3bMnXqVCMjVZuKUSIiIk3Ek08+yRtvvIGHhwcmk8m6/fz58xw6dIhTp05d8vNBQUH07t2bgwcPUlhYWNtxRUREROQCHnroIQoLC8nKymL//v2kpqYaHanaVIwSERFpImbMmIGvry8RERHY2dlZt69bt45Ro0ZRWlpa5fE9AEdHRxwcHAAYOXIkI0aMwMnJqc5yi4iIiMj/mThxIhMnTmTfvn1069bN6DhXRMUoERERASA2NvaCcwi4uLgQHR1NeHg4jo6OdR9MRERERBoVraYnIiLSxHXv3p3mzZtfdH9ubi4xMTGVtlksFvbv38+SJUuwWCy1HVFEREREGhEVo0RERJo4Pz8/Tp06RWFhYZXXDTfccMHPZGdns3z5cvbt28e+ffvqOLGIiIiINGR6TE9ERESwsbHB3t7+gtsvxN3dnaFDh/LLL7+wevVq2rVrp3mkRERERAyQl5fHE088gbe3N3/729/w8vKqcsyMGTMoLS3Fw8PDgIRVqRglIiIiV2TgwIHs27ePlJQU1q1bx3XXXWd0JBEREZEmw83NDYCioiLefvtt67aHH364yrEXKlAZSY/p1YGoqCjCwsLo06eP0VFERERqjK2tLRMmTABg586dJCQkGJxIGhP1n0RERC4tJCSETz/9lBtvvJGuXbsCkJOTY3Cqy6NiVB2IjIwkNja2yuSvIiIiDV1wcDA9e/YE4Pvvv6e0tNTgRNJYqP8kIiLy52677TZmzJhB3759L3nc77//zi+//ML58+frKNmlqRglIiIiV2XUqFE4OzuTkpLCsWPHjI4jIiIiIv8lJiaG3377jezsbKOjAJozSkRERK6Sk5MT119/Pfb29oSGhhodR0RERETqORWjRERE5Kp16NDB6AgiIiIi0kDoMT0RERGpUefPnyc+Pt7oGCIiIiJST2lklIiIiPypr776igMHDvzpcWazGU9PTywWC+np6VgslirHdOrUicjIyNqIKSIiItKkff/99yQlJTFkyBBuvvlmo+NclIpRIiIiclHu7u4AbNiwgQ0bNvzp8ba2ttx33334+voSFxfHDz/8cMHjRo0aRfv27Ws0q4iIiEhTVdFn27p1K1u3buX9999nwoQJODs7G5zswlSMEhERkYv6xz/+Qdu2bSksLKz2Z8PDw+ndu3elbf/617/IyckhNze3piKKiIiINHmPPvoo/v7+ZGdn88orr1BSUkJxcbHRsS5KxSgRERG5qJYtW/LMM89U+3PLly9n9+7dBAQEcM8992BrawvAJ598Qk5OTk3HFBEREWnSAgICeOqppygqKuKVV16psn/atGmUlpbi4+NjQLqqNIG5iIiI1LhRo0bh5OREcnIyW7ZsMTqOiIiISJPm7+9PYGAg9vb2RkcBVIwSERGRWuDs7Mzo0aMBiI6OJjMz09hAIiIiIk1MQEAAXl5efPPNN0ZHqULFqDoQFRVFWFgYffr0MTqK/L/27jwuqur/H/hrYIBhR0BcERBRc8kV1FIkN3DJNA3MNJdyScrUyqz8BFpqueWSZmninpma30zNSGVRlDSTXNKQRBEX3HCUdWTO7w9+MzHOsAzCbLyejwePz8dzz9x7zvveuffdmXvPJSIig2nTpg0aN26Mzp07w9HR0djNITPD/ImIiEh/NjY2aNOmDQCgoKAA2dnZ+Omnn3D8+HEkJibiwYMHRm5hMQ5GGUBkZCTOnTuH48ePG7spREREBiORSDBixAj07NkTNjY2xm4OmRnmT0RERPqTSCQ4ceIE0tPT8dFHH6nLk5KScPDgQdy/f9+IrfsPB6OIiIio2kgkEvX/VyqV6onMiYiIiKh6SKVS+Pj4wN3d3dhNKRUHo4iIiKja3bx5E99++y2CgoKM3RQiIiIiMjIORhEREVG1y8nJwbVr19CyZUvUr1/f2M0hIiIiqjF+/vlnZGZmAgAePXpk5NYU42AUERERVbvGjRvj6aefhkQiwfPPPw+lUmnsJhERERFZNB8fHwBAdnY2CgsLAQCpqanGbJIaB6OIiIjIIPr06YP8/HzUq1cPly9fNnZziIiIiCzaiy++iOPHj2P//v3qeTtN5QdBDkYRERGRQTg6OuLEiRMAgPPnzyMnJ8fILSIiIiKyXBKJBB07dkSfPn00XipjCjgYRURERAZz/vx5XL9+HQqFAgcOHDB2c4iIiIhqhPj4eKxduxZOTk7GbgoADkYRERGRAQkhsHfvXgBAVlaWyUyiSURERGTJbt++jStXrkAqlRq7KQAA02gFERER1RgZGRl45pln0KtXL5O7ZZyIiIiIqh8Ho4iIiMjgPD09ORBFREREZCBNmjRBnTp1UFBQYOymAOBgFBERERmRQqFAUlISgoKCYG9vb+zmEBEREVmkNm3awNnZGXl5ecZuCgAORhEREZERbdu2DRcvXkROTg769etn7OYQERERkQFwAnMiIiIymmeeeQYAcOLECdy8edPIrSEiIiIiQ+BgFBERERmNn58fWrZsqX7LnhDC2E0iIiIiomrGx/SIiIjI4FJSUtRzFri7u8PKygpXrlzBqVOn0K5dOyO3joiIiIiqEwejiIiIyGBUb9AbM2aMRnm3bt3Qs2dP7Ny5Ey1btoStra0xmkdEREREBsDH9AxgxYoVaNGiBQIDA43dFCIiIqN666230KRJE/j7+2v8paWl4e7du5BKpTh8+LCxm0kmgPkTERGR5eJglAFERkbi3LlzOH78uLGbQkREZFTTp09HamoqLl68qPH39ddfY//+/bh+/Trat29v7GaSCWD+REREVHUOHz6MjRs3wtHR0dhNAcDH9IiIiMhEXLhwAa6urnBzczN2U4iIiIgsys2bN5Geng4bGxtjNwUA74wiIiIiE1VYWGjsJhARERFRNeCdUURERGRScnJysH//fty8eRMTJkyAlRV/OyMiIiJ6Er6+vqhVqxYKCgqM3RQAHIwiIiIiE2NlZYWLFy8iLy8PJ06cQFBQkLGbRERERGTWOnToAGdnZ+Tl5Rm7KQD4mB4RERGZGHt7ezz33HMAgEOHDiE3N9fILSIiIiKiqsTBKCIiIjI5HTp0gJeXF/Lz8xEXF2fs5hARERFRFeJgFBEREZkcKysrhIWFAQBOnDiBmzdvGrlFRERERFRVOBhFREREJsnPzw9PPfUUhBDYv38/hBDGbhIRERERVQEORhEREZHJ6t27N6ytrZGVlQW5XG7s5hARERFRFeDb9IiIiMhk1apVCy+//DIaNmwIOzs7YzeHiIiIiKoAB6OIiIjIpPn7+xu7CURERERm7dixY7h79y569Ohh7KYA4GN6REREZCaEEDh9+jRyc3ON3RQiIiIis5KZmYm///4btra2xm4KAA5GERERkZnYvXs3du7cibi4OGM3hYiIiIieAAejiIiIyCy0bt0aAHDixAncunXLyK0hIiIiMh/e3t5o1aoVCgsLjd0UAJwzioiIiExIZmYmPv30U63yOnXqYNSoUWjWrBkuXLiA2NhYDB8+3AgtJCIiIjI/QUFBcHZ2xrZt23DkyBEMHToUTZo0MVp7OBhFRERERufg4ACgeDDqf//7n846np6e6N27N1JTU5Gamoq0tDRObk5ERERUARKJBADw448/IjMzEwcPHsSvv/5qtPZwMIqIiIiMrlu3bpg9ezYyMjK0lv3yyy/IyMhAdnY2PDw8EBQUhGPHjmH//v2YOHEirKw46wARERFRWTw9PZGfn4/OnTtjx44dyM7ONmp7OBhFRERERmdjY1PqHVEDBgzQGKQKDg5GSkoKbt26hZMnT6Jjx46GaiYRERGRWZLJZMjPz8dLL72EHTt2GLs5nMCciIiIzIu9vT26d++OunXrwsvLy9jNISIiIiI98c4oIiIiMjuBgYEIDAzkI3pEREREZoiDUXpYunQpvvnmG1y+fBlSqRQdOnTA3Llz0alTp2rdrkKhQFFRUbl1pFIp8vPzy61ryRgHxkCFcSjGOBQrKw7W1tawsbExUsuosjgIZR6MlTsBFcufzB3P8YyBpfaf12Yiy8fBKD00atQIixcvRpMmTVBQUIAlS5YgNDQUaWlp8PDwqPLtyeVy3L59GwUFBeXWFUKgbt26yMjIUM+SXxMxDoyBCuNQjHEoVl4c7Ozs4OnpCRcXFyO0jshyGTp3AvTLn8wdz/GMgSX3n9dmoqrVp08fFBYW4tKlS8ZuCgAORull8ODBGv9euHAhVq9ejTNnzqB79+5Vui25XI7MzEw4OTnB09MTNjY2ZV5glEolHj58CCcnpxr9azHjwBioMA7FGIdipcVBCAGFQoH79+8jMzMTAJj0ElUhQ+ZOgP75k7njOZ4xsMT+89pMVD2eeuopAMDVq1eN3JJiJj8YtWnTJiQmJuKPP/7A6dOnUVhYiJiYGIwePbrUzxw/fhxRUVE4evQoCgsL0bJlS0yZMgXDhw+vsnYVFhbim2++Qa1atdC6desqW6/K7du34eTkhIYNG1YoiVIqlSgsLIRMJrOYC1FlMA6MgQrjUIxxKFZWHOzt7eHs7IyrV6/i9u3bTHjJ7NXU3AnQP38ydzzHMwaW2n9em4ksn8kPRs2cOROXL1+Gp6cn6tWrh8uXL5dZPy4uDqGhobC1tcWwYcPg6uqKnTt34pVXXkF6ejo+/PDDJ2pPYmIi+vbti7y8PNStWxexsbFwd3d/onU+TqFQoKCgAJ6enjUikSIiMjaJRAJXV1dkZmZCoVBwngoyazUxdwKYPxFZGl6biarWv//+C4VCgUePHhm7KQAAkx8+X7NmDdLT03Hr1i1MnDixzLqPHj3C66+/DolEgoSEBKxevRoLFy5ESkoKWrZsiaioKKSmpqrrz5w5ExKJpMy/x3Xs2BGnTp1CUlIS+vbti/DwcNy+fbtK+6yafJAnXCIiw1Gdcy1pAliqmWpi7gQwfyKyRLw2E1Wd3bt3Y+vWrcjPzzd2UwCYwWBUr1694OPjU6G6Bw8eRFpaGoYPH4527dqpy52dnfG///0Pjx49QkxMjLr83XffxaVLl8r8e5y9vT2aNGmCTp06Yc2aNbCystJYZ1Xir3pERIbDcy5ZipqcOwH8LhNZEn6fiSyXyT+mp4+4uDgAxbPEP05VFh8fry5zc3ODm5vbE21TCFHq21oKCgo0lsnlcgDFt5ErFIpS16lQKCCEgFKphFKprHA7VP9b0c9YIsaBMVBhHIoxDsUqEgelUqmeNNXa2tqQzTMY1bWnrGuQKVLtv6Kioippe0XiYG4xqixTy50A/fKnkvuyqKhI7/zJ3PEczxhYev8rcm0212tbVWH/a3b/Af1joLrTUPXdqo62VIRFDUapbiMPCAjQWlarVi14enpq3Gqur/fffx8DBw5Ew4YNcffuXaxcuRJXr17FkCFDdNafN28eZs2apVX+66+/wsHBodTtSKVS1K1bFw8fPkRhYaFebXzw4IFe9S0V48AYqDAOxRiHYmXFobCwEHl5eUhISDCZZ+mrS2xsrLGboJesrCwAwF9//YW9e/dW2XrLikNubm6VbceUmVruBFQuf4qNjX2i/Mnc8RzPGFhq//W5Npvbta2qsf81u/9A+TFQ5TZ///03AOD+/ftVmleV3EZFWNRg1P379wEArq6uOpe7uLg80WsMr127hmHDhiErKwvu7u4IDAxEYmKi+hWJj/vggw8wbdo09b/lcjm8vb3Rp0+fMt8IkZ+fj4yMDDg5OUEmk1WobUIIPHjwAM7OzjX6dlZjxmHMmDHYsGED0tLS4Ovra9Btl1RVMdi0aRMWL16MixcvIicnBx9//DGioqJKrW9tbY3u3bvj4MGDld5mVbK070RcXBx69uxZ7n4oqXHjxgCAU6dOVSoOpnJMV4WKHA/5+fmwt7dHcHBwhc+95kahUCA2Nha9e/c2q3l1vvnmGwDA008/jX79+j3x+ioSB9XdOJbO1HInQL/8qeS+LCoq0jt/MneWcK170muNqcVA3/zpSZla/6taRa7N5nptqyrsf83uP1DxGKSnp6OwsFB9DXZ1da2SvKokffInixqMqm4bN27Uq76dnR3s7Oy0ym1sbMo8SIqKiiCRSGBlZVXhV7SqbstVfc6cpaenw8/PDwDQv39//Pzzz1p14uLi8Nxzz2HChAlYtWqVutyYcVAlAPrst+pQFTFISkrCqFGjEBAQgMjISNjb2yMkJKRC6zOV48+SvhPAf3GtbH8q8zlTOaZLExISgvj4eFy/fh1169bVWad58+a4cOGC+nbksuJgZWUFiURS7jnaEphbH1XHorW1dZW2u6w4mFN8TJm+uRNQufzJxsZG/R021XNWdSh5rbty5Uql8ydjetJrjSld758kf6osU+r/4+7du4cVK1Zgz549+OeffyCXy+Hm5oY2bdrghRdewJgxY+Dk5FTmOvS5Npvbta2qsf81u/9AxWOgeuRV9d2q6jZUlEUNRql+1VP9yvc4uVxe6i9/ZJr27NmDhIQEBAcHG7spNYrqds0NGzagc+fORm4NVdaBAwcscv4IIqo6zJ0sE/Mn42D+9J8DBw4gPDwcd+/exVNPPYWXXnoJHh4euHPnDhISEjB58mQsWbIEaWlpxm4qERmJaQ2fPyHVfAe65ja4d+8ebt++rXNOBDJNvr6+sLKywvvvv2/sptQ4165dA4BS7zYh8+Dv7w9/f39jN4OITBhzJ8vD/Ml4mD8VS0lJwfPPP4+8vDxs2rQJ586dw6pVqzBnzhysWrUK586dw6FDh+Dl5WXsphLVKD169ED//v113n1sDBY1GNW9e3cAxRNcPk5VpqpjSCtWrECLFi0QGBho8G2bs2bNmmHkyJE4duwYdu7cWaHPNG7cGE8//bTOZSEhIVrP0kdHR0MikSAuLg4xMTFo3bo17O3t4efnh2XLlgEofhZ/6dKlaN68OWQyGZo2bVrmYwdFRUWYN28emjRpAplMhoCAACxYsKDUO1QSEhLw/PPPw9PTE3Z2dggICMDMmTO1Jn+Li4uDRCJBdHQ0jh49itDQULi5uVV4foCkpCT0798f7u7ukMlkaN68OaKjozW2o9qG6pXbfn5+kEgkes1BcOvWLYwdOxZeXl6wt7dH586d1W9retyDBw8QFRWFli1bwt7eHm5ubggLC8Phw4e16v7xxx9488030apVK7i6usLe3h6tW7fGZ599pvXWBn9/f7i6upY6gV7v3r1hZWWFK1euICYmBhKJBAsWLNBZd+/evZBIJHj77bfL7HePHj3U69Rl3LhxkEgkSExM1Civ6P4v6eTJkwgNDYWzszNcXV0xePBgpKena9Xz9fVVzxtVkhAC69evR3BwMNzc3ODg4ICAgABMnDix1PY/Tp9279ixA927d4eXlxdkMhm8vb0RFhaGXbt2VWhbRFR9TDV3Apg/VVZl8idfX99S52sy9fzJy8sLderUQbNmzcw2f7p06RImTpwIPz8/2NnZwcvLCyEhIVi3bp26TmFhIZYvX47Q0FB4e3ur6w0ZMgR//fWX1jrXrVsHiUSCdevWYc+ePejWrRucnZ019nN1XZ8nT56MvLw8LF++HK+88orOOiEhIaXmh0RUPVq3bo2OHTuazOOMFjUY1bNnTzRu3BhbtmzBqVOn1OUPHjzAJ598AqlUitGjRxu8XZGRkTh37hyOHz9u8G2bu9mzZ8POzg4ffvihes6X6rBkyRJMnToV7du3x/jx46FQKPD2229jzZo1mDx5MubNm4euXbti7NixuH37Nl599VWdAyYAMGXKFCxevBihoaGIjIzEo0ePMH36dLzxxhtadVetWoWQkBAkJSVhwIABmDx5Mho0aIA5c+agd+/eOt8GlJSUpP4Pg/HjxyMiIqLc/qmSjbi4OAwaNAhTpkyBk5MTZs2ahV69eqlfoe3r64uoqCi0adMGAPD2228jKiqqwhNvZmdn49lnn8Vff/2FV155BS+++CJOnDiB0NBQnDlzRqPu3bt30aVLF8yePRseHh544403MGTIEJw4cQLPPfecViK0evVq/Pjjj2jdujUmTJiA1157DUIIfPDBBxg2bJhG3REjRuDhw4c63w5x/fp1HDx4EMHBwWjUqBEiIiLg6uqKNWvW6OyTqvz1118vs+8jR46EEAKbN2/WWlZQUIDt27fD19cXXbt2VZdXZv+fOHEC3bp1g1QqxYQJE9CxY0fs2rULvXr1Qn5+fpltBIr/4+Dll1/G6NGj8e+//+Lll1/GW2+9hfbt2+P777/HyZMny12HPu3+6quvMHToUKSmpmLw4MGYNm0aevXqhYyMDA5GEZkAU82dAOZPT6Im5U/9+/fH+PHjzTZ/Onr0KNq1a4dvvvkGzZs3x7Rp0/Diiy8iLy8PS5cuVde7e/cupkyZgoKCAvTr1w9Tp05FSEgI9u3bh9DQ0FK/Jz/88AMGDRoET09PTJo0ST1ZcXVdny9evIiEhAQ0bNgQY8aMKbOuqdydQURGIkzc6tWrxahRo8SoUaNE+/btBQDx7LPPqst+/PFHjfoHDx4UNjY2wsnJSYwbN0688847ws/PTwAQn376qXE68f/dv39fABD3798vs15eXp44d+6cyMvL01qmVCrFw4cPtf7kcrm4evWqkMvlOpcb+k+pVFY6TpcuXRIARGhoqBBCiGnTpgkA4uuvv1bXOXTokAAgJkyYoPFZHx8f4e3tLYqKirTW2717d/H4IR8VFSUACHd3d5GWlqYuv3LlirC1tRWurq6iadOmIisrS70sOTlZABADBw7UWNeoUaMEAFGnTh2RmZmpLn/w4IFo3bq1ACASEhLU5WfPnhVSqVS0a9dO3LlzR2Nd8+bNEwDEwoULtfoMQHz77belxq+oqEjcu3dPHQO5XC7c3NyEnZ2dSElJUddTKpVi+PDhAoD45JNPdPbl0qVLpW7ncaq2TZo0SSP+a9as0bmvVNteu3atRvmNGzeEt7e3qF27tsZ3ID09XTx69EijrlKpFGPHjhUAxOHDh9XlqampAoDo3bu31rGwcOFCAUCsWbNGXRYZGSkAiPj4eI26N2/eFDY2NqJTp07l9l8ulwt7e3vRokULrWXbt28XAMTMmTPVZU+y/7du3apRf+TIkQKA+O677zTKfXx8hI+Pj8bxsGLFCgFA9OzZU+Tm5mrUz83N1WiLruNA33a3b99e2NraanyHVG7fvq1Vpg/Vd/qdd94RUVFROv88PDwEAK3vhS5lnXstRWFhodi1a5coLCw0dlP00r9/f53ni8qqSBwqes02RZaUOwlR9r4ouS9L+w6XljuZ2l9lcqeS57YnzZ98fHx0bsPU86eSMXiS/Olxhsif8vPzhbe3t7CyshL79u3TWp6RkaFR9+rVq1p1/vrrL+Hk5CR69uypUR4TEyMACIlEImJjY7U+V13X53Xr1gkAYsSIEZVeR0kVuTab67WtqrD/Nbv/QlQ8BpcvXxZpaWli165dAoAIDAys8rbokz+Z/GCU6qRe2l9UVJTWZ5KTk0VYWJhwdXUV9vb2omPHjmLTpk2Gb/xjqmIw6uHDh2XGw1T+Hj58WOk4PZ5M3blzR7i6uor69euLnJwcIUTVD0ZFR0dr1e/Ro4cAINavX6+1rHHjxlpJm+pYnTNnjlb9H374QQAQr732mrps8uTJAoBITEzUql9UVCRq164tOnTooC5T9bldu3Za9R//bMn/6N6wYYMAIN544w2tuleuXBFSqVT4+/vr7Iu+g1GOjo7iwYMHGuUKhUJIpVLRvn17ddmtW7eEtbW1VuKksmzZMgFA7N69u9zt/vHHHzr3YadOnYRUKhU3btzQKG/btq2QyWQiOztbXfbXX38JAGLkyJEadefPn681cFWWiIgIAUCcPHlSo3zQoEECgDh//ry6rLL7Pzg4WKu+atm0adM0ynUNRrVo0UJYW1uLf/75p9z+6DoO9G13+/bthaOjo7h3716529OX6jtdkT8ORhUz14SNg1H6saTcSYgnH4yy5NyprMEoffOnygxGmUL+VDIGT5I/Pc4Q+dO2bdsEAPHqq6/q1baSioqKRFhYmLC1tdU4p6kGowYPHqzzc9V1ff7ss88EADFjxowqWR8Ho8rH/tfs/gtR8RgsWbJEREdHi61btwrA+INRJv82vXXr1mk8L10RQUFB2LdvX/U0iAzO3d0d77//Pj788EMsWbIEH374YZVvo127dlpl9erVAwC0bdtW57Lk5GSd6+rWrVupZSUfgTh27BgA4JdffsFvv/2m9RkbGxucP39eqzwoKEjndkvz559/Aih+Nv9x3t7e8Pf3x4ULF/DgwQM4Ozvrte7HBQQEaL2iVyqVok6dOsjOzlaXHT9+HEVFRcjPz0d0dLTWelQT6Z4/fx4DBgwAUDxXwpdffomtW7fi/PnzePjwIYQQ6s+oJg1VGTFiBJKTk/H9999j8uTJAICzZ8/i1KlTeOmllzTeDtW6dWt06dIF27dvx/Lly9XL1q5dCycnpwrdyg8UP6r3/fffY9OmTepj6u7du9i7dy8CAwPRrFkzdd3K7v/27dtrlTVs2BAANGKsS05ODs6dO4cmTZpUekJifdsdHh6OGTNmoFWrVhg2bBhCQkLQtWtXuLm5VWr7uly/fr3UyWKbN2+OCxcuVNm2iMwBcycCak7+JIRAQUEB7Ozs1K8pN5f86ffffwcA9OnTp0L1T506hfnz5+Pw4cO4ceOG1pyZt2/fVsdfpbR+G+L6TERUFpMfjLIEK1aswIoVK6rkmX0HBwc8fPhQq1ypVEIul8PFxQVWVsafCszBwaFK1zdlyhR8+eWXmD9/PiZMmFCl6wYAFxcXrTKpVFrmskePHulcl643g3h5ecHKykrj1dl3794FAMyZM0evttapU0ev+nK5vMzP1a1bFxcuXIBcLn/iwajSXv8tlUo1jn9V348cOYIjR46Uur6cnBz1/x86dCh2796Npk2bIiIiAl5eXrCxsUF2djaWLl2qnrdBJSIiAtOmTcOWLVvUg1GqiVNHjhypta3x48djzJgx2Lx5MyZNmoTDhw/j/PnzGDdunNYAW2lCQ0Ph5eWF7777DgsWLICVlRW2bduGwsJCrW1Wdv/rirHqWC3vHKMarGrQoIFe2yxJ33ZPnz4dHh4eWLVqFRYvXoxFixZBKpWiX79+WLJkCfz8/CrdFiKybFWVP5WWO5maqs6dAOZPJZli/qTPdTkpKQk9evQAUDx4VfIHwJ07d+LMmTNauVBZ7a+u67Pqx6HMzMxKfZ6Iag4ORhlAZGQkIiMjIZfLS/2P9YqSSCRwdHTUKlcqlSgqKoKjo6NJDEZVNXt7e0RHR2P8+PGYO3cunn/+eZ31rKystH4lUimZyFSnrKwsjTtgVGVKpVJj/6uSNH2TGH3ebFdyOzdv3tS5XFWuK2msLqptvfPOO1i4cGG59Y8fP47du3cjNDQUe/bsgbW1tXrZsWPHNCb4VPHw8ECvXr2wb98+XLx4Ef7+/tiyZQs8PT0RFhamVT8iIgJTp07FmjVrMGnSJPXE5ePGjatwv6RSKYYNG4Zly5bh4MGD6NWrFzZt2qQu1xWDqhgErCjV8fckCaK+7ZZIJHj99dfx+uuv486dO0hMTMR3332Hbdu2ITU1FadPn9bYn0REKlWVP5WWO9UE+uRPuib9Bkw/f6roD7KmmD+p7kKqyHV5zpw5KCgowOHDh/Hss8+qy5VKJY4cOaL1ohiV0vpdXddnVdvi4uKgVCot8r9LiKhq8OxAZmPs2LFo3rw5VqxYUerr52vVqoVbt25p/eqWk5OjfvSruiUmJpZaVvKW9U6dOgH473bz6qK6hV7X63MzMzORlpaGxo0bG2xABAACAwMhkUhw9OjRCtVPS0sDAPTv318rMdIVb5Xw8HAAwKZNmxAfH4+MjAxERETofJ2pvb09RowYgT///BPx8fH44Ycf8PTTT+v9SvERI0aot3np0iUkJSUhNDQUtWvX1qhnqP1fkpOTE1q0aIFLly5V+vvwJO328PDAoEGD8P3336NHjx74+++/cfHixUq1g4iIKqai+VNWVhbzpxIMkT+pHqH79ddfy62blpYGd3d3jYEoAMjNzUVKSkql2wBU7fW5SZMmCA4ORkZGBtavX19mXV13chFRzcHBKDIb1tbWmDt3LgoKCjB79myddTp06ACFQoHNmzery4QQ+OCDDzQe+apOy5Yt05i/6OHDh+r2vvrqq+rySZMmQSqV4q233kJGRobWerKzs9XzFTyJF154Aa6uroiJicHZs2fV5aq4KBQKg7+2u27duggPD0dSUhIWLFigMfeTSnJyMnJzcwEAPj4+AKD1OuizZ89i3rx5pW4nLCwMrq6u2Lx5c5mP6KmoHmEYPnw4cnNz9borSkU1N9TOnTuxevVqCCF0btNQ+/9xkZGRKCoqwqRJk5CXl6exLD8/X/34Q2n0bff+/fu1/uNGoVCot2Nvb68uHz16NCQSid5z3RARUekqkj917NiR+dNjDJE/DRw4EA0bNsSmTZuwf/9+reUl75jy8fHBvXv3NNpSVFSE9957D7dv39Z729V5fV62bBns7e3x5ptv4vvvv9dZJzExUf3YIRHVTHxMj8zK4MGD0aVLl1LvqImMjMS6deswfvx4HDhwALVr10ZiYiKys7PRpk2bJ/7lqCICAwPRpk0bREREwM7ODjt37kR6ejrGjRuH4OBgdb1WrVph5cqVeOONN9CsWTP069cP/v7+kMvl+PfffxEfH4/Ro0dj1apVT9QeFxcXrF69Gi+//DI6deqEiIgI1K5dGwcOHMCJEycQFBSE995770m7rbeVK1fiwoULmD59OjZu3IguXbrA1dUVGRkZ+OOPP5Camorr16/DwcEBQUFBCAoKwrZt23D9+nV07twZV65cwU8//YT+/ftj+/btOrchk8kwdOhQfPvtt7h8+TICAgLUv6jq0qpVKzzzzDNISkqCTCZT3+Wkr5EjR2LmzJlYuHAhXFxcMHDgQJ3bMsT+f9wbb7yB+Ph4bNu2DQEBARg4cCBcXFxw5coV7N+/H99++y0GDRpU6uf1bXdERAQcHBzQtWtX+Pj4QKFQIDY2FufOnUNERAQaNWqkXrdSqQTw33wjRERUNcrLn958803ExMTg9ddfR2xsrFnlT3379kXDhg1RUFCAS5cumVX+ZGdnh23btiEsLAx9+/ZFWFgY2rRpA7lcjlOnTiE3N1c9sPbWW2/h119/RdeuXREeHg6ZTIa4uDhkZmaia9euWj/Ylac6r89t2rTB7t27ER4ejmHDhmH27NkIDg6Gu7s77t69iyNHjuD06dNo0qSJXm0mIsvCO6PI7Hz++eelLmvdujW2b9+ODh06YPv27di4cSNatGiBI0eOGOztIEuWLMG0adOwb98+fPnll7C2tsbnn3+Or776SqvuuHHjcPToUbzwwgs4evQovvjiC2zfvh23b9/G1KlTMWXKlCpp00svvYRDhw4hODgYO3fuxBdffAG5XI7//e9/OHjwIGQyWZVsRx/u7u5ISkrC/PnzYWtri82bN+PLL79EcnIyWrZsiQ0bNsDT0xNA8a+6P//8M8aOHYu0tDQsX74c586dw8KFCzF//vwyt6MaUFIoFBUaXBo1ahSA4gnTK3vMjBgxAhKJBAqFAkOGDNH4dbEkQ+3/kiQSCbZu3Yo1a9bA29sbGzZswPLly3HixAmEh4ejQ4cO5a5Dn3bPmzcPgYGB+P333/Hll19i06ZNcHZ2xtdff41NmzZprPfMmTNwdnZG//79q7rbREQ1Xnn50y+//GKW+dOxY8fw1VdfYceOHWaZP3Xp0gUnT57E2LFjcfr0aSxatAjbt2+Hra0tpk2bpq43YMAAbN++HY0bN8amTZuwZcsWNG/eHMeOHYO3t7fe263u63PPnj2RmpqKTz75BC4uLvj+++8xf/58/PDDD/Dw8MDSpUs13pJIRNWvW7du6NOnD2xtbY3dFACAROh6PoaqVMm3wfzzzz+4f/9+mZMd5ufn49KlS/Dz86vwRc7U3qZnLIwDY6BS2ThMmjQJX331FeLj4zV+iTVX5nI8yOVy1KpVC++88065A4yVUZE4VObca24UCgX27t2Lfv366Zw7zVQNGDAAe/bswZw5czBkyBCt5Y0bN9arPxWJg2rS7PKu2VR9KpI/ldyXRUVFFv8dfpy5nOOrU02PQXX3v7qvz+WpyLXZXK9tVYX9r9n9B/SPwZ49ezBgwAD1gHRV0id/qnlnbCOIjIzEuXPncPz4cWM3hYjKcOvWLWzYsAFPPfWURQxEmZMjR47AxsZG41dgosd99NFHaN68udbf4xP6kmVg/kRkfLw+E1F14cQcRFTj7dmzBydPnsT27duRk5ODqKgoYzepxunbty/y8/ON3QwyUeHh4Th+/LjWq+dVdwQYYj4bIqKaiNdnIstx/fp1PHr0CEVFRcZuCgAORhER4YcffsD69etRv359zJ07FxEREcZuEhGV8Oqrr2q8TUslIyNDY5JdIiIiItJt27ZtyM7ORvPmzY3dFAAcjCIiwrp16yr8umIiIiIiIiJ6MpwzioiIiIiIiIiIDIaDUUREREREREREZDAcjDKAFStWoEWLFggMDDR2U4iIiIjMAvMnIiIiy8XBKAPgq4mJiIiI9MP8iYiIyHJxMIqIiIiIiIiIiAyGb9MjIiIiIiIiIrJgnTt3Rn5+Pu7evWvspgDgnVFERERERERERBatU6dO6N69O2xtbY3dFAAcjCIiIiIiIiIiIgPiY3pERERERERERBbs9u3bKCoqQlFRkbGbAoB3RhEZ1ejRoyGRSJCenm7sphARERFVSHR0NCQSCeLi4rSWffHFF3jqqadgb28PiUSCdevWGbx9RESkbfPmzVi1ahXy8vKM3RQAHIwyiBUrVqBFixYIDAw0dlPMzqlTpzBx4kS0aNECLi4usLW1Rb169dCnTx8sWbIEd+7cMXYTiYiIqBowf9JfXFwcJBIJRo8e/UR1KmvLli2YNm0aHBwcMHXqVERFRaFt27ZVvh0iIjJ/fEzPACIjIxEZGQm5XA5XV1djN8csKJVKTJ8+HYsWLYJUKkVwcDD69OkDBwcHZGVlISkpCVOnTsXHH3+Mf//9F56ensZucqXMmzcPM2bMQIMGDYzdFCIiIpPC/Ml0vfnmmxg2bBgaNWqkUb53714AwJ49e1C3bl1jNI2IiMwEB6PIJH300UdYtGgROnbsiK1bt8Lf31+rzvHjxzF9+nTk5+cboYVVo169eqhXr56xm0FERERUYZ6enjp/CLx27RoAcCCKiIjKxcf0yOSkpqZiwYIF8PLywr59+3QORAFAYGAgDh48qDGYs3btWgwfPhyNGzeGTCaDu7s7QkNDcejQIa3Pr1u3rtS5DFS3sEdHR2uUnzx5EkOHDkWjRo1gZ2eHOnXqoEuXLvjss8+0+jBmzBj4+flBJpPB09MT7du3xzvvvKNRT9ecUYWFhVi+fDlCQ0Ph7e0NOzs7eHl54cUXX8Sff/5ZZj8OHDiA4OBgNGjQALVr18aoUaP4KCMRERGVydfXF76+vsjJycG0adPQoEED2NnZ4emnn8b27du16j8+Z5QqF1HlWxKJBBKJBL6+vhqfW79+PTp37gwnJyc4OTmhc+fOWL9+vdb6S+ZhR48eRWhoKNzc3CCRSLS2HxMTg2eeeQaOjo7w8/PDsmXLAABCCCxduhTNmzeHTCZD06ZNsXHjxiqMGhERPQneGWWmCgsLNf6tVCqhUChQWFgIqVQKqVRaat2SJBIJbGxsKlVXoVBACKFVz9bWtkJ9KM26detQVFSECRMmlPv4nUQigbW1tfrfb731Flq1aoWePXvCy8sLmZmZ2LVrF3r16oWdO3fihRdeqHS7Tp06hWeeeQbW1tZ44YUX4OPjg+zsbJw9exarV6/GjBkzABT/KhgUFIScnBz0798fERERePjwIVJTU7F8+XIsWrSozO3cvXsXU6ZMQbdu3dCvXz/UqlUL//77L3766Sfs27cPCQkJOufP2L17N37++WcMGDAAY8eORXJyMjZs2IC0tDQcPny40v0mIiKyBGXlOFZWVmadO1UFhUKBPn364O7du3jxxReRm5uLrVu3Ijw8HL/88gv69OlT6mfbtm2LqKgorFu3DpcvX0ZUVBQAwM3NTV1n6tSpWLJkCRo0aIDXXnsNEokEO3bswOjRo5GSkoLFixdrrTcpKQlz587Fc889h/Hjx+PKlSsay5csWYK4uDj07dtXneu9/fbbcHBwQEpKCn744QcMGDAAPXr0wNatW/Hqq6/Cz88PXbt2rZqgERFRpXEwykzNmzev1GUBAQEYPny4+t8LFy6EQqHQWdfHx0djAsulS5ciNzdXZ9369etj3Lhx6n+vWLEC9+/f16qnSkAq6+jRowCA5557Tu/PnjlzBh4eHnBxcYGVVfGNf9evX0fHjh3x3nvvPdFg1MaNG1FQUID/+7//w8CBAzWWlbz7aMeOHcjOzsbSpUsxefJkjXq3b98udzu1atXClStXtOaROnv2LDp37owPP/wQsbGxWp/76aefEBcXhy5dukAul8PR0RF9+vRBXFwcjh07hs6dO+vTXSIiIotiyblTVbh27RoCAwNx6NAh9eDY8OHD0atXLyxevLjcwai2bdsiLi4Oly9f1rqzPDExEUuWLMFTTz2Fo0ePqucAmzVrFjp37owvvvgCL774otYgUWxsLL799luMHTtW53YTExNx4sQJeHp6wsXFBe+99x6aNGmCd999F3Xq1MHp06dRu3ZtAMV3o3fq1AkLFizgYBQRkQngY3pkcm7cuAGgOIF73MGDBxEdHa3xV/KuHz8/P63P1KtXD0OGDEFqaiouX778xO2zt7fXKvPw8KhQvYpMtG5nZ6dzQvOWLVviueeeQ0JCgs4Eefjw4Xj22WfV/7a2tsaoUaMAFM+vRURERFSWL774QuMurZ49e8LHx+eJ8wjVlAjR0dEak9G7urqqB+J0TZvQrl27UgeiAGDy5Mlo3Lix+t/e3t7o2rUr7t+/j48++kg9EAUAQUFBaNy4MVJSUp6oL0RE5qpjx4549tlnNe7YNSbeGWWmPvjgA41/K5VKPHjwAM7Ozhq3mQPAu+++W+p6VM/eq7z99tsVrhsZGanzVvMnVdY6Dx48iDlz5miUyWQy9S9c//77Lz755BMcPnwYmZmZKCgo0Kh77do1+Pj4VKpdQ4cOxZIlSzBo0CCEh4ejd+/e6Nq1q9abZAYMGIAZM2YgMjISsbGxCAsLQ9euXdG0adMKb+vUqVOYP38+Dh8+jBs3bmgNPt2+fVtr4vP27dtrradhw4YAgOzs7Apvm4iIyBI9njuVpLqbWsXccqeq4ObmpvNHvYYNG6rvWq8s1ZyXISEhWstUZadOndJaFhQUVOZ627Vrp1Wmyo/atm2rc1lycnLZjSUislCqGxf27Nlj5JYU42CUmXp8bgGlUgkbGxvY2tpqJVT6zEOgT93qGlGtU6cOzp8/j8zMTDRr1kxj2aeffopPP/0UQPEvaGPGjFEvu3jxIoKCgiCXyxESEoLnn39e/bheXFwc4uPjtQan9NGlSxccPHgQ8+bNw3fffaf+Ba9Dhw5YsGCB+rFCPz8/HD16FLNmzcK+ffvwww8/AACaNWuGTz75BC+99FKZ20lKSkKPHj0AAH369EFAQACcnJwgkUiwa9cupKSk6OyHrtdeqwYmi4qKKt1vIiIiS1Bd+ZAp5E4qqhxQqVSWWke17PF8UVceARTnEmWtryLkcjmsrKw07lRSqVOnDqysrHQ+vlinTp0y1+vi4qJVpsp9Slv26NGjijabiIiqEQejyOQ888wziI+Px6FDh9SDMhXxxRdf4N69e/j666/x+uuvayRZEydORHx8vEZ91XJdSYmuhAgAunfvju7duyMvLw/JycnYvXs3Vq5cif79++P06dPqN/89/fTT2LFjBxQKBf744w/s27cPy5YtQ0REBOrXr6/xON3j5syZg4KCAhw+fFir3rFjx3h7OREREemkGlAq6026qvkrSxt8qg4uLi5QKpW4desWvLy8NJZlZWVBqVTqHDx6/M4yIiKqvOzsbCiVyif+gaGqcM4oA1ixYgVatGih8w1opG3UqFGwsrLCN998U6EJv1XS0tIAAH379tUoVyqVOHLkiFb9WrVqAQAyMzO1lqluJy+Nvb09QkJCsGjRInz44YfIy8vDb7/9plXPxsYGnTt3xqxZs7Bs2TIIIfDzzz+X2w93d3etgajc3FycPHmyzM8SERFZCuZP+mvWrBlsbW1x/PjxUu8AUj1y9/TTTxusXarH6eLi4rSWqX4s1PVYHRERVZ3169dj+fLlpb50w9A4GGUAkZGROHfuHCeRrqBmzZph2rRpyMrKQt++fdWDTI97fB4k1VxQx44d0yj//PPPcebMGa3Pt2/fHhKJBFu3bkV+fr66PDU1FUuXLtWqn5iYCLlcrlV+8+ZNAP9NWH78+HFkZWWVW680Pj4+uHfvHs6ePasuKyoqwrvvvotbt26V+VkiIiJLwfxJfzKZDOHh4bh165Z6WoOSTp8+jTVr1sDZ2RmDBw82WLtUL1SZNWuWRi4ll8sxa9YsjTpERFQz8DE9MkmfffYZFAoFli5dimbNmqF79+54+umn4eDggKysLJw6dQonTpyAi4uL+pe9iRMnIiYmBq+++ip+/vlneHp64tixYzh58iT69++vNVFbgwYNEBERga1bt6JDhw4ICwtDVlYWfvzxR4SFhWHHjh0a9RctWoTY2Fg899xzaNy4MWQyGU6ePIkDBw6gSZMm6qRu8+bNWLlyJUJCQtCkSRO4uLjg3Llz2Lt3Lzw9Pct8KwwAvPXWW/j111/RtWtXhIeHQyaTIS4uDpmZmQgJCdH5qyIRERERUJyvJCcnY9asWfj555/RvXt3yGQy/PPPP/jpp58ghMDmzZvh5uZmsDYFBwfjrbfewvLly9GqVSsMGTIEQgjs3LkTGRkZmDx5MoKDgw3WHiIiMj4ORpFJsra2xpIlSzBy5EisWrUKCQkJSE5ORmFhIdzd3dG6dWssXrwYI0eOhKenJ4DiW8B/+eUXfPjhh/jxxx9hbW2NZ555BkeOHMFPP/2k860B3377LWrXro1t27ZhxYoVaNasGb755hvUr19fazDqjTfegKurK5KTk5GQkAAhBBo1aoSZM2diypQpcHZ2BgC8/PLLyM/Px5EjR3D8+HEUFBSgYcOGiIyMxLvvvqt+w11pBgwYgO3bt2Pu3LnYtGkTHBwc0KNHD/z444+YPXt2FUWYiIiILJGXlxeOHz+OL774Art27cLXX3+NwsJC1K1bF0OHDsW7776r8y101W3ZsmVo164dvvrqK3zzzTcAgJYtW2LWrFkaL6QhIqKaQSJM9f2yFkgul8PV1RX379/XOUmjSn5+Pi5dugQ/Pz/IZLIKrVupVEIul6vfHldTMQ6MgQrjUIxxKFaROFTm3GtuFAoF9u7di379+lX7W70MISMjA40aNYKtra1eb0utSBwqes2m6lfWvii5L4uKiiz+O/w4nuMZA0vvf0WuzZZ2bdMX+1+z+w9UPAZLly5FdnY2mjdvjmHDhiEwMBC///57lbZFn/zJ8s5YRERERERERERksjgYRUREREREREREBsM5o4iIiIiIiIiILFibNm2Ql5eHvLw8YzcFAAejiIiIyEzVrl0bsbGxkEgkxm4KERERkUkLCQkBANy+fRuxsbFGnxOTg1FERERklmQyGXr16mXsZhARERGZDU9PT5PInzgYRURERERERERkwXJycqBUKuHg4ABra2tjN4cTmJsyIYSxm0BEVGPwnEtkGfhdJrIc/D4TVZ01a9Zg8eLFuH79urGbAoCDUQaxYsUKtGjRAoGBgRWqrxqlVCgU1dksIiIqQXXONYVfioiI+RMR8dpMZMk4GGUAkZGROHfuHI4fP16h+jY2NrCzs8P9+/f5awARkQEIIXD//n3Y2dnBxsbG2M0hIjB/IqrpeG0msmycM8pEeXp6IjMzE1evXoWrqytsbGzKfFuQUqlEYWEh8vPzYWVVc8cYGQfGQIVxKMY4FCstDkIIKBQK3L9/Hw8fPkSDBg2M2EoielL65k/mjud4xsAS+89rM1HNwMEoE6V6zeLt27eRmZlZbn0hBPLy8mBvb2/RSVd5GAfGQIVxKMY4FCsvDnZ2dmjQoIHRX3FLRE9G3/zJ3PEczxhYcv95bSaybByMMmEuLi5wcXGBQqFAUVFRmXUVCgUSEhIQHBxco29jZRwYAxXGoRjjUKysOFhbW9fo2BBZGn3yJ3PHczxjYKn957WZyPJxMMoM2NjYlHsytra2xqNHjyCTyWr0iZtxYAxUGIdijEMxxoGo5qlI/mTueG5jDGp6/4nIfHEwioiIiIiIiIjIgrVo0QK5ublwdHQ0dlMAcDCKiIiIiIiIiMii9e7d29hN0GAZr1wgIiIiIiIiIiKzwDujiIiIiIiIiIgsWEFBAYDiORWtrIx/XxIHo4iIiIiIiIiILNiqVauQnZ2N1157DQ0bNjR2c/iYHhERERERERERGQ7vjDIgIQQAQC6XV/m6FQoFcnNzIZfLa/RrXRkHxkCFcSjGOBRjHIoxDsUqEgfVtVp17SbjKSt/qunHdE3vP8AY1PT+A4wB+1+z+w9UPAb5+fnIz8/HgwcPqmVMAtAvf5IIZlkGc/XqVXh7exu7GURERFRBGRkZJnEre03G/ImIiMi8VCR/4mCUASmVSly7dg3Ozs6QSCRVum65XA5vb29kZGTAxcWlStdtThgHxkCFcSjGOBRjHIoxDsUqEgchBB48eID69eubxCSfNVlZ+VNNP6Zrev8BxqCm9x9gDNj/mt1/wLRioE/+xMf0DMjKyqraf111cXEx+gFoChgHxkCFcSjGOBRjHIoxDsXKi4Orq6sBW0OlqUj+VNOP6Zref4AxqOn9BxgD9r9m9x8wnRhUNH/iT31ERERERERERGQwHIwiIiIiIiIiIiKD4WCUhbCzs0NUVBTs7OyM3RSjYhwYAxXGoRjjUIxxKMY4FGMcLEdN35c1vf8AY1DT+w8wBux/ze4/YL4x4ATmRERERERERERkMLwzioiIiIiIiIiIDIaDUUREREREREREZDAcjCIiIiIiIiIiIoPhYBQRERERERERERkMB6PM3PHjx9GvXz/UqlULjo6OCAoKwpYtW4zdrCq3adMmTJgwAR07doSdnR0kEgnWrVtXan25XI5p06bBx8cHdnZ28PHxwbRp0yCXyw3X6CqWmZmJJUuWoE+fPmjUqBFsbW1Rt25dDBkyBMnJyTo/Y4lxyM7OxuTJk9GlSxfUrVsXdnZ2aNCgAXr06IEdO3ZA1zsZLDEOusyfPx8SiQQSiQTHjh3TWccSY+Hr66vu9+N/EydO1KpviTEo6ccff0Tv3r3h4eEBe3t7+Pn54eWXX0ZGRoZGPUuMw7p160o9FlR/PXv21PiMJcahJrD0/Effa350dHSpx7xMJjNCD6pGTT6/63s+M+djwBB5/pYtWxAUFARHR0fUqlUL/fr1w4kTJ6qhN5VT0RgoFArs2LEDo0ePxlNPPQVHR0c4OzujU6dOWLlyJYqKirQ+k56eXuZxtHXrVgP0sGz6HAOVPdZN+RjQp//lnRckEolGzmfK+19qtC3TE4uLi0NoaChsbW0xbNgwuLq6YufOnXjllVeQnp6ODz/80NhNrDIzZ87E5cuX4enpiXr16uHy5cul1s3JyUH37t1x6tQp9O7dGy+//DJSUlLwxRdf4NChQzh8+DAcHR0N2PqqsXz5cnz++efw9/dH79694eXlhdTUVOzatQu7du3Cd999h/DwcHV9S43D7du3sXbtWnTu3BmDBg2Cu7s7srKysHv3bgwdOhTjxo3DN998o65vqXF43N9//42PP/4Yjo6OyMnJ0VnHkmPh6uqKKVOmaJV37NhR49+WHAMhBCZOnIhvvvkG/v7+GDZsGJydnXHt2jXEx8fj8uXL8Pb2BmC5cWjbti2ioqJ0Ltu+fTvOnj2L0NBQdZmlxsHS1YT8R99rvsqoUaPg6+urUSaVmne6X1PP7/qez1TM8Rio7jx/7ty5+Oijj9CoUSNMnDgRDx8+xNatW/Hss89i//79CAkJqeYelq+iMUhLS8PQoUPh7OyMHj16YODAgbh//z52796NyMhI/PLLL/i///s/SCQSrc+2adMGgwYN0ipv1apVVXdHb/ocAyr6HOumfgzo0//SzgsXL17E5s2b8dRTT6nzvZJMcv8LMksKhUL4+/sLOzs7cfLkSXW5XC4XLVu2FFKpVPzzzz9GbGHVio2NFenp6UIIIebNmycAiJiYGJ11P/74YwFATJ8+XWf5xx9/XN3NrRY7duwQCQkJWuUJCQnCxsZGuLu7i/z8fHW5pcbh0aNHQqFQaJXL5XLRokULAUCcOXNGXW6pcSjp0aNHIjAwUAQFBYkRI0YIAOLo0aNa9Sw1Fj4+PsLHx6dCdS01BkIIsXTpUgFAREZGikePHmktL/m9seQ46FJQUCA8PDyEVCoVN27cUJfXtDhYgpqS/+h7zY+KihIAxKFDhwzYyurH87u20s5n5nwMVGee/88//wipVCqaNm0qsrOz1eVnzpwRDg4Owt/fX2deaWgVjcHVq1fFypUrRU5Ojkb5w4cPRceOHQUAsW3bNo1lly5dEgDEqFGjqqv5T0yfY0DfY90cjgF9+l+aN998UwAQixYt0ig35f3PwSgztX//fgFAjBkzRmvZ1q1bBQDxwQcfGKFl1a+sL6hSqRT169cXTk5O4uHDhxrL8vLyRK1atUSDBg2EUqk0UGsNo0+fPgKAOH78uBCi5sZh6tSpAoDYtWuXEKLmxGHOnDnC1tZWnDlzRowaNUrnYJQlx6Ki/7FiyTHIzc0V7u7uonHjxuUmVJYch9KorouDBg1Sl9XEOFiCmpz/qDx+zRfCvAciysLzuzZd5zMhLOcYqOo8/4MPPhAAxPr167XWN3HiRAFA7N+/v8r78SQqOxixZcsW9Y9SJZnyYIQuVT0YZW7HQGX2v+r4t7W1FVlZWRrLTHn/c84oMxUXFwcA6NOnj9YyVVl8fLwhm2QSUlNTce3aNTz77LNat+jKZDIEBwcjMzMTFy9eNFILq4eNjQ2A/25NrYlxyM/Px8GDByGRSNCiRQsANSMOZ86cwaxZszBz5ky0bNmy1HqWHouCggKsX78ec+fOxVdffYWUlBStOpYcg9jYWNy9exeDBg1CUVERdu7cic8++wyrVq3S6o8lx6E03377LQDg9ddfV5fVxDhYAuY/2tf8khITEzF//nwsWrQIe/bsQUFBgaGbV+Vq+vn9cbrOZyVZ4jGgUpn9XNY5Q/WYo6WcM8o6NwDAtWvX8NVXX2HevHlYv349rl69asjmVbmKHus14RjYuXMn7t27h4EDB6J27do665ji/jftB4ipVKmpqQCAgIAArWW1atWCp6enuk5NUlZcSpanpqaWWsfcXLlyBb/99hvq1q2L1q1bA6gZccjOzsaSJUugVCqRlZWFvXv3IiMjA1FRURr9Ayw3Do8ePVJPYDljxowy61p6LG7cuIHRo0drlIWFhWHjxo3w9PQEYNkxUE3AKZVK0aZNG1y4cEG9zMrKClOnTsXChQsBWHYcdLl8+TIOHDiABg0aICwsTF1e0+JgKWp6/qPrml/Sxx9/rPHvevXqYf369ejdu7ehmljlavr5vaTSzmclWeIxoFKZ/ZyamgonJyfUrVu3zPqWYO3atQB0D7oAxT9cxcbGqv8tlUoxefJkLFiwAFZW5nePSkWP9ZpwDJQ3SA2Y5v43v6OOAAD3798HUDypoy4uLi7qOjVJReJSsp65UygUGDlyJAoKCjB//nxYW1sDqBlxyM7OxqxZs/DJJ5/g66+/xo0bN7BgwQKNSf0sPQ5z585FSkoK1q5dq/41rDSWHIuxY8ciLi4Ot27dglwux7Fjx9C3b1/88ssvGDhwoPoNi5Ycg6ysLADAokWL4OLigt9//x0PHjxAQkICmjZtikWLFuGrr74CYNlx0CUmJgZKpRJjxoxRnyOBmhcHS1GT85/SrvlA8WTX69evR3p6OvLy8pCamopPPvkE2dnZGDhwoM67icwBz++aSjufAZZ7DJRUmf18//59iz8uAOCbb77Bvn370KNHD/Tr109jmYODA6KionDq1CnI5XJkZWXhp59+QkBAABYvXoyPPvrISK2uHH2PdUs/Bi5duoRDhw6hUaNGOgedTXn/czCKyEwplUqMHTsWCQkJGDduHEaOHGnsJhmUr68vhBB49OgRLl26hNmzZ+Ojjz7CkCFD8OjRI2M3r9qlpKTg008/xbvvvov27dsbuzlG9fHHH6N79+7w9PRUv974559/RteuXXH06FHs3bvX2E2sdkqlEgBga2uLXbt2ITAwEE5OTujWrRu2b98OKysrLFq0yMitNDylUomYmBhIJBKMHTvW2M0hqrTyrvmDBg3Cq6++Ch8fH8hkMjRp0gQzZ87E0qVLkZ+fj08//dRILX8yPL//p7zzmaUeA1S+PXv24M0334SPjw82bdqktdzLywvR0dFo06YNnJ2dUbt2bTz//PM4ePAgPDw8sHjxYty7d88ILa8cHuua1q5dCyEExowZo/MOJ1Pe/xyMMlOq0d3SRnHlcnmpI8CWrCJxKVnPXAkhMG7cOGzatAkjRozAqlWrNJbXlDgAgLW1NXx9fTFjxgx8+umn+PHHH7F69WoAlh2HUaNGwd/fH9HR0RWqb8mx0MXKygpjxowBABw5cgSAZcdA1eaOHTuifv36GstatmyJxo0bIy0tDdnZ2RYdh8fFxsbiypUr6NGjB/z8/DSW1aQ4WJKamP+Ud80vy6hRoyCVStXnQUtQ087vKmWdz8piScdAZfazq6urRR8X+/fvx5AhQ1CnTh0cPHgQ9erVq/Bn69ati379+qGwsBDHjx+vxlYaRmnHuiUfA0qlEuvWrYOVlZXeP7qZwv7nYJSZKuv51nv37uH27dtm/Ux8ZZX33G95z5qbA6VSiddeew1r167Fyy+/rD4BlVQT4qCL6hl51USFlhyHlJQUnD9/HjKZDBKJRP23fv16AECXLl0gkUiwa9cuAJYdi9Ko5hLJzc0FYNkxaNasGQDAzc1N53JVeV5enkXH4XFlzaFQk+JgSWpa/lORa35ZbG1t4ezsrD4PWoqadH5XqcicMLpY0jFQmf0cEBCAhw8f4saNGxWqb05++eUXDBo0CJ6enjh06BAaN26s9zoe/y6Zs9KOdUs/Bq5evYrevXujUaNGen/e2Pufg1Fmqnv37gCAX3/9VWuZqkxVpyYJCAhA/fr1ceTIEeTk5Ggsy8/PR0JCAurXr48mTZoYqYVPRqlU4vXXX0dMTAwiIiKwceNGrTkDAMuPQ2muXbsG4L+3iFhyHF577TWdf6qL6cCBA/Haa6/B19cXgGXHojTJyckAUCNi8NxzzwEA/v77b61lCoUCFy9ehKOjI2rXrm3RcSjpzp07+L//+z+4u7tj8ODBWstrShwsTU3Kfyp6zS9Lamoq7t27pz4PWoqadH4Hyj+flcWSjoHK7Oeyzhn79+/XqGNOVANRtWrVwqFDhyp9bP/+++8AYBHHR2nHuqUeA0DlB6lVjL7/BZklhUIhGjduLOzs7MSff/6pLpfL5aJly5ZCKpWKCxcuGK+B1WjevHkCgIiJidG5/OOPPxYAxPTp03WWf/zxxwZoZdUrKioSo0ePFgDESy+9JBQKRZn1LTUOf/75p8jOztYqv3Pnjmjbtq0AIDZu3Kgut9Q4lGbUqFECgDh69KjWMkuMxdmzZ8W9e/e0yhMTE4VMJhN2dnbi8uXL6nJLjIFKnz59BACxevVqjfLZs2cLAGLEiBHqMkuOg8oXX3whAIjJkyeXWqcmxMHS1JT8R59rvlwuFykpKVrld+/eFd26dRMAxGeffVadza0WPL//p7zzmSUdA1Wd51+4cEFIpVLRtGlTjfzxzJkzwsHBQfj7+5ebUxtaeTHYt2+fsLOzE3Xr1hXnz58vd33JycmisLBQq3zRokUCgGjRooVQKpVP2uwqU1b/K3Osm9sxUN7+V8nKyhI2NjbC09NTFBQUlFrPlPe/RIj//xoKMjuHDh1CaGgo7Ozs8PLLL8PFxQU7d+7EpUuX8Omnn5rdmxHKsmbNGhw+fBgAcPr0aZw8eRLPPvus+leAQYMGYdCgQQCAnJwcdO3aFadOnULv3r3RoUMHpKSkYN++fWjbti0OHz4MR0dHY3Wl0qKjozFr1iw4OTnh7bffVt/9U9KgQYPQtm1bAJYbhylTpmDNmjV47rnn4OPjA0dHR1y+fBl79uzBw4cPMWTIEGzbtk39GIOlxqE0o0ePxvr163H06FF07txZY5klxiI6Ohrz589Hz5494evrCzs7O5w5cwa//vorrKyssGrVKo1fiywxBippaWl45plnkJWVhf79+6N58+b4888/cfDgQfj4+ODYsWPq1xpbchxUWrdujTNnzuCvv/5C69atddapCXGwRDUh/9Hnmp+eng4/Pz907NgRrVu3hpeXFzIzM7Fv3z7cuXMHvXv3xs8//wxbW1sj9KTyeH7/T3nnM3M/Bqo7z58zZw5mzpyJRo0aYejQocjJycF3332HvLw87N+/X313sTFVNAbnz59H27ZtUVBQgGHDhqkf0y/J19cXo0ePVv87JCQE58+fR/fu3eHt7Y28vDwcPXoUf/75J2rVqoXffvvN6C/DqWj/K3usm/oxoM93QGXRokV49913MW3atDJfUmPS+98oQ2BUZZKTk0VYWJhwdXUV9vb2omPHjmLTpk3GblaVU93tUdpfVFSURv3s7GwxdepU4e3tLWxsbIS3t7eYOnWqzjtqzEV5MYCOEXRLjENiYqIYPXq0aN68uXBxcRFSqVR4eXmJsLAwsWXLFp0j+5YYh9KUdWeUEJYXi7i4OBEeHi6aNGkinJ2dhY2NjWjYsKEYNmyYSE5O1vkZS4tBSVeuXBGjR48WdevWVfctMjJS3Lx5U6uuJcchOTlZABBBQUHl1rXkOFgyS89/9Lnm379/X0RGRooOHToIT09PIZVKhaurq+jatatYtWqVePTokXE7U0k8vxeryPnM3I8BQ+T5mzZtEh07dhT29vbC1dVVhIWFid9//72ae1ZxFY3BoUOHyj03dO/eXWPdq1evFmFhYaJhw4ZCJpMJmUwmmjVrJt5++22RkZFh+M7qUNH+P8mxbsrHgL7fASGEeOqppwQAce7cuTLXbcr7n3dGERERERERERGRwXACcyIiIiIiIiIiMhgORhERERERERERkcFwMIqIiIiIiIiIiAyGg1FERERERERERGQwHIwiIiIiIiIiIiKD4WAUEREREREREREZDAejiIiIiIiIiIjIYDgYRUREREREREREBsPBKCIiIiIiIiIiMhgORhFZmNGjR0MikSA9Pd3YTakSmzZtQtu2beHk5ASJRILo6Ogy60skEoSEhBikbTVRXFxchfZDSb6+vvD19a30Ni3tmCYiIjIES7t+6psTEpFp42AUUSnS09MhkUggkUgwYMAAnXVU/2E+ceJEA7euZkhKSsLIkSORm5uLyMhIREVFcaCJTE5ISAgkEglu3LhRap3mzZtDIpEYsFVERFRVmBMaH3NCTffu3cOnn36KLl26wMPDAzY2NqhduzZ69eqF5cuX4+HDh8ZuIlG5pMZuAJE52LNnDxISEhAcHGzsptQoe/fuBQBs2LABnTt3NnJrqLIOHDhg7CYQERFVCeaExsGc8D8HDhxAeHg47t69i6eeegovvfQSPDw8cOfOHSQkJGDy5MlYsmQJ0tLSjN1UojJxMIqoHL6+vrhy5Qref/99HD161NjNqVGuXbsGAKhbt66RW0JPwt/f39hNICIiemLMCY2HOWGxlJQUPP/88wCKH1t85ZVXtOrExcXhgw8+MHTTiPTGx/SIytGsWTOMHDkSx44dw86dOyv0mbLmyFE90lNSdHQ0JBIJ4uLiEBMTg9atW8Pe3h5+fn5YtmwZAEAIgaVLl6J58+aQyWRo2rQpNm7cWGobioqKMG/ePDRp0gQymQwBAQFYsGABlEqlzvoJCQl4/vnn4enpCTs7OwQEBGDmzJnIzc3VqFdyzqCjR48iNDQUbm5uFX4EKSkpCf3794e7uztkMhmaN2+O6Ohoje2othETEwMA8PPzU98eX1G3bt3C2LFj4eXlBXt7e3Tu3BlxcXE66z548ABRUVFo2bIl7O3t4ebmhrCwMBw+fFir7h9//IE333wTrVq1gqurK+zt7dG6dWt89tlnUCgUGnX9/f3h7OysFUOV3r17w8rKCleuXEFMTAwkEgkWLFigs+7evXshkUjw9ttvl9nvHj16qNepy7hx4yCRSJCYmKhRXtH9X9LJkycRGhoKZ2dnuLq6YvDgwTrnpSjt+yCEwPr16xEcHAw3Nzc4ODggICAAEydOLLX9j9On3Tt27ED37t3h5eUFmUwGb29vhIWFYdeuXRXaFhER1WzMCc0vJ7x06RImTpwIPz8/2NnZwcvLCyEhIVi3bp26TmFhIZYvX47Q0FB4e3ur67344ov4888/tda5bt06SCQSrFu3Dnv27EG3bt3g7OyssZ+rK+eYPHky8vLysHz5cp0DUUDxcVVazktkUgQR6XTp0iUBQISGhorLly8LOzs70axZM/Ho0SN1nUOHDgkAYsKECRqf9fHxET4+PjrX2717d/H4Vy8qKkoAEC+88IJwdXUVr776qpg8ebJo0KCBACBWr14t3nzzTVGnTh3x2muviTfeeEPUqlVLABCJiYka6xo1apQAIAYMGCA8PT3FpEmTxLRp04Svr68AIMaPH6/Vpq+++kpIJBLh7u4uRo0aJd599111O5955hlRUFCg1efevXsLGxsb0adPH/Hee++JiIiIcmO6fft2IZVKhYODgxgzZox4//33RYcOHQQA0aVLF5Gfn6+OfVRUlGjTpo0AIN5++20RFRUloqKiyt0GANGmTRsREBAgOnToIKZMmSKGDx8urK2tha2trTh9+rRG/Tt37oiWLVsKAKJbt25i6tSpYuzYscLDw0NIpVLx448/atSfMGGCqF+/vhg2bJh47733RGRkpPrzL774okbdjz/+WAAQW7Zs0WrntWvXhJWVlejevbsQQoicnBzh6uoqmjZtqrNfgwcPFgDEX3/9VWb/165dKwCIuXPnai3Lz88Xbm5uwtfXVyiVSnV5ZfZ///79hYODg+jXr5945513RI8ePQQA4e/vL/Ly8jS2q+v7oFQqRUREhAAgGjRoICZOnCimT58uwsPDhZubm0bcVcf0pUuXNNahT7tXrlwpAIh69eqJ8ePHiw8++ECMHj1atGjRQowaNarMmJZHtc3r16+XWqdZs2Za33siIjIPzAnNMydMSkoSrq6uQiKRiLCwMDFjxgwxYcIEERQUJNq2bauud/36dXVONn78ePH++++Ll156SdjZ2QmZTCZ+//13jfXGxMQIAKJfv35CKpWKQYMGienTp4s33nhDCFF9OUdqaqoAIBo2bCiKiooqvR4iU8HMmKgUJRMPIYSYNm2aACC+/vprdZ2qTjzc3d1FWlqauvzKlSvC1tZWPUiRlZWlXpacnCwAiIEDB2qsS5V41KlTR2RmZqrLHzx4IFq3bi0AiISEBHX52bNnhVQqFe3atRN37tzRWNe8efMEALFw4UKtPgMQ3377rc4+6iKXy4Wbm5uws7MTKSkp6nKlUimGDx8uAIhPPvlEZ18eH4Qoi6ptkyZN0rhQr1mzRue+Um177dq1GuU3btwQ3t7eonbt2hqDK+np6RrJp6oPY8eOFQDE4cOH1eWqpKFfv35a7Vy4cKEAINasWaMui4yMFABEfHy8Rt2bN28KGxsb0alTp3L7L5fLhb29vWjRooXWsu3btwsAYubMmeqyJ9n/W7du1ag/cuRIAUB89913GuW6vg8rVqwQAETPnj1Fbm6uxrLc3FyNtug6DvRtd/v27YWtra3Gd0jl9u3bWmX6UH2n33nnHXWC/Pifh4cHB6OIiMwUc0Lzywnz8/OFt7e3sLKyEvv27dNanpGRoVH36tWrWnXOnDkjnJycRK9evTTKVYNREolExMbGan2uunKOdevWCQBixIgRlV4HkSlhZkxUiscTjzt37ghXV1dRv359kZOTI4So+sQjOjpaq77qjpP169drLWvcuLHWdlQX6zlz5mjV/+GHHwQA8dprr6nLJk+erPPXNCGEKCoqErVr1xYdOnRQl6n63K5dO539K82GDRsEAPWvRiVduXJFSKVS4e/vr7Mv+g5GOTo6igcPHmiUKxQKIZVKRfv27dVlt27dEtbW1qJnz54617Vs2TIBQOzevbvc7f7xxx8692GnTp2EVCrVSkjatm0rZDKZyM7OVpf99ddfAoAYOXKkRt358+drDVyVRXXH0cmTJzXKBw0aJACI8+fPq8squ/+Dg4O16quWTZs2TaNc1/ehRYsWwtraWvzzzz/l9kfXcaBvu9u3by8cHR3FvXv3yt2evlTf6Yr8ERGR+WFOaH454bZt2wQA8eqrr+rVtsc9//zzwtbWVhQWFqrLVINRgwcP1vmZ6so5PvvsMwFAzJgxo0rXS2QsnMCcqILc3d3x/vvv48MPP8SSJUvw4YcfVvk22rVrp1VWr149AEDbtm11LktOTta5rm7dupVadurUKXXZsWPHAAC//PILfvvtN63P2NjY4Pz581rlQUFBOrdbGtUz97pew+vt7Q1/f39cuHABDx48gLOzs17rflxAQACcnJw0yqRSKerUqYPs7Gx12fHjx1FUVIT8/HxER0drrSc1NRUAcP78efWrnAsLC/Hll19i69atOH/+PB4+fAghhPozqgk2VUaOHInk5GRs3boVb731FgDg7NmzOHXqFF566SW4urqq67Zu3RpdunTB9u3bsXz5cvWytWvXwsnJCRERERXq/8iRI/H9999j06ZN6mPq7t272Lt3LwIDA9GsWTN13cru//bt22uVNWzYEAA0YqxLTk4Ozp07hyZNmiAgIKBCfXqcvu0ODw/HjBkz0KpVKwwbNgwhISHo2rUr3NzcKrV9Xa5fv17qxKrNmzfHhQsXqmxbRERkPMwJNZliTvj7778DAPr06VOh+qdOncL8+fNx+PBh3LhxQ2se0Nu3b6vjr1Javw2RcxBZAg5GEelhypQp+PLLLzF//nxMmDChytfv4uKiVSaVSstc9ujRI53r8vLy0llmZWWF+/fvq8vu3r0LAJgzZ45eba1Tp45e9eVyeZmfq1u3Li5cuAC5XP7Eg1ElB3hKkkqlKCoqUv9b1fcjR47gyJEjpa4vJydH/f+HDh2K3bt3o2nTpoiIiICXlxdsbGyQnZ2NpUuXoqCgQOOzw4YNw9SpU7F582b1YJRqktGRI0dqbWv8+PEYM2YMNm/ejEmTJuHw4cM4f/48xo0bpzXAVprQ0FB4eXnhu+++w4IFC2BlZYVt27ahsLBQa5uV3f+6Yqw6VkvGWBfVYFWDBg302mZJ+rZ7+vTp8PDwwKpVq7B48WIsWrQIUqkU/fr1w5IlS+Dn51fpthARUc3DnPA/ppgT6pNrJCUloUePHgCKB69UP2pKJBLs2rULKSkpWvldWe2vrpxD9YNXZmZmpT5PZGr4Nj0iPdjb2yM6Ohr379/H3LlzS61nZWVVakJQ8qJfnbKysnSWKZVKjYEEVUIjl8shih/d1fn3OH3ebFdyOzdv3tS5XFWuK8GqLqptvfPOO2X2PSoqCkDxnVS7d+9GaGgozp07h9WrV2POnDmIjo7GsGHDdG7Dw8MDffv2RXJyMi5evAghBLZs2QJPT0+EhYVp1Y+IiICbmxvWrFkDAOr/HTduXIX7JZVKMWzYMFy/fh0HDx4EUPz6X1W5rhjou/+fhOr4e5JkSt92SyQSvP766zhx4gRu3bqFH3/8ES+++CJ++ukn9O/fv9wBNCIiopKYE/7HFHNC1V1IFck15syZg4KCAhw4cAA//fQTFi1ahFmzZiE6OrrUO56B0vtdXTnHs88+C6D4DYOlvQmRyJxwMIpIT2PHjkXz5s2xYsWKUl8/X6tWLWRlZWklHzk5OepHv6pbYmJiqWUlb+/u1KkTgP9uza4uqtvNdb1qNjMzE2lpaWjcuPET3xWlj8DAQEgkEhw9erRC9dPS0gAA/fv3h7W1tcYyXfFWGTFiBIDiAaH4+HhkZGQgIiICNjY2WnXt7e0xYsQI/Pnnn4iPj8cPP/yAp59+GoGBgRXtltY2L126hKSkJISGhqJ27doa9Qy1/0tycnJCixYtcOnSpUp/H56k3R4eHhg0aBC+//579OjRA3///TcuXrxYqXYQEVHNxZywcgyRE6oeofv111/LrZuWlgZ3d3f1YI9Kbm4uTp48Wek2AFWbczRp0gTBwcHIyMjA+vXry6yr604uIlPDwSgiPVlbW2Pu3LkoKCjA7Nmzddbp2LEjFAoFNm/erC4TQuCDDz7QeOSrOi1btkxj/qKHDx+q2/vqq6+qyydNmgSpVIq33noLGRkZWuvJzs5WP9v/JF544QW4uroiJiYGZ8+eVZer4qJQKDB69Ogn3o4+6tati/DwcCQlJWHBggU6f+1LTk5Gbm4uAMDHxwcAcPjwYY06Z8+exbx580rdzvPPPw9XV1ds3ry5zEf0VFS3+w8fPhy5ubl63RWlopobaufOnVi9ejWEEDq3aaj9/7jIyEgUFRVh0qRJyMvL01iWn5+vflSgNPq2e//+/Vr/IaBQKNTbsbe3V5ePHj0aEokE69at07dbRERUgzAnrBxD5IQDBw5Ew4YNsWnTJuzfv19reck7pnx8fHDv3j2NthQVFeHdd9/FrVu39N52deYcy5Ytg729Pd588018//33OuskJiaqHzskMmWcM4qoEgYPHowuXbqUekfNm2++iZiYGLz++uuIjY1F7dq1kZiYiOzsbLRp0wYpKSnV3sbAwEC0adMGERERsLOzw86dO5Geno5x48YhODhYXa9Vq1ZYuXIl3njjDTRr1gz9+vWDv78/5HI5/v33X8THx2P06NFYtWrVE7XHxcUFq1evxssvv4xOnTohIiICtWvXxoEDB3DixAkEBQXhvffee9Ju623lypW4cOECpk+fjo0bN6JLly5wdXVFRkYG/vjjD6SmpuL69etwcHBAUFAQgoKCsG3bNly/fh2dO3fGlStX1Lddb9++Xec2ZDIZXnrpJaxZswaXL19GQECA+tdHXVq1aoVnnnkGSUlJkMlk6ruc9DVy5EjMnDkTCxcuhIuLCwYOHKhzW4bY/4974403EB8fj23btiEgIAADBw6Ei4sLrly5gv379+Pbb7/FoEGDSv28vu2OiIiAg4MDunbtCh8fHygUCsTGxuLcuXOIiIhAo0aN1OtW3fqumpuDiIioNMwJ9WeInNDOzg7btm1DWFgY+vbti7CwMLRp0wZyuRynTp1Cbm6uemDtrbfewq+//oquXbsiPDwcMpkMcXFxyMzMREhIiM47uMpSnTlHmzZtsHv3boSHh2PYsGGYPXs2goOD4e7ujrt37+LIkSM4ffo0mjRpolebiYyimt7SR2T2Hn+N7+MSEhLUr2t//DW+Qghx4MAB0alTJ2FnZyc8PDzEyJEjxY0bN8p8je+hQ4e01lPWq2x1rUtV/+LFi2Lu3LmicePGwtbWVvj7+4vPP/9cPHr0SGd/fv/9dzFs2DBRv359YWNjIzw9PUX79u3FjBkzxN9//62up3qNb1RUlM71lCchIUH07dtXuLm5CVtbW9G0aVPxv//9Tzx8+FCvvpcGgOjevbvOZaW9Xjk3N1fMnz9fdOjQQTg6Ogp7e3vh5+cnBg0aJDZs2CAUCoW6blZWlhg7dqyoX7++kMlkonXr1mLFihXi33//FQDEqFGjdG47Pj5efbzMmjWr3H58/fXXAoAYMWJERbqtU3p6upBIJAKAGDNmTJl1q2L/q74zj8egtLgrlUqxZs0a0blzZ+Ho6CgcHBxEQECAmDhxorhy5Yq6XlnHQUXbvXLlSjFw4EDh4+MjZDKZ8PDwEJ06dRJff/21xv4VQoh27doJZ2dncffu3TJjpqL6Hl6/fr3UOs2aNdP6rhIRkXlgTmieOaEQQly8eFG89tpromHDhsLGxkZ4eXmJkJAQsWHDBo1627dvF+3btxcODg7C09NThIeHi7S0NJ3bjYmJEQBETEyMzm1WZ86hcufOHfHJJ5+Izp07i1q1agmpVCo8PDxESEiIWLp0qc4YEpkaiRBVPDMtERE9sUmTJuGrr75CfHy8xq+WVL3kcjlq1aqFd955B/Pnzzd2c4iIiMhCMeegmo6DUUREJubWrVvw8/NDo0aNcO7cOWM3p0bZt28fBg8ejPT09DLfoENERET0JJhzUE3HwSgiIhOxZ88enDx5Etu3b8dff/2FrVu3IiIiwtjNIiIiIiIiqlKcnZWIyET88MMPWL9+PerXr4+5c+dyIIqIiIiIiCwS74wiIiIiIiIiIiKDsTJ2A4iIiIiIiIiIqObgYBQRERERERERERkMB6OIiIiIiIiIiMhgOBhFREREREREREQGw8EoIiIiIiIiIiIyGA5GERERERERERGRwXAwioiIiIiIiIiIDIaDUUREREREREREZDD/D8OkVT7dLE6OAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1400x500 with 2 Axes>"
       ]
@@ -408,7 +409,7 @@
     "axes[1].step(ecdf(C)[1], 1-ecdf(C)[0], \n",
     "             color='k', label='Number of cars, C')\n",
     "axes[1].plot(ecdf(C)[1], 1-stats.uniform.cdf(ecdf(C)[1], *params_C),\n",
-    "             '--', color = 'grey', label='Gumbel')\n",
+    "             '--', color = 'grey', label='Uniform')\n",
     "axes[1].set_xlabel('Number of cars, C')\n",
     "axes[1].set_ylabel('${P[X > x]}$')\n",
     "axes[1].set_title('C', fontsize=18)\n",
@@ -419,12 +420,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1400x500 with 2 Axes>"
       ]
@@ -463,7 +464,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "id": "d6057bb2",
    "metadata": {},
    "outputs": [
@@ -546,13 +547,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 11,
    "id": "c200a7b5",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x700 with 2 Axes>"
       ]
@@ -645,12 +646,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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       "text/plain": [
        "<Figure size 700x700 with 1 Axes>"
       ]
@@ -671,15 +672,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The correlation between the observations is: 0.2660768676548401\n",
-      "The correlation between the simulations is: 0.0010212280993210816\n"
+      "The correlation between the observations is: 0.2660768676548393\n",
+      "The correlation between the simulations is: -0.013637688852272484\n"
      ]
     }
    ],
@@ -696,11 +697,11 @@
    "metadata": {},
    "source": [
     "<div style=\"background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px\">\n",
-    "    <b>Solution: TO UPDATE</b>\n",
+    "    <b>Solution:</b>\n",
     "\n",
-    "- The observations are focussed in an area of the plot while the simulations are a bit more spreaded all around. This is because the observations are dependent to each other, there is a physical relationship between the number of cars and the number of trucks, while the simualtions were assumed to be independent. Moreover, negative numbers for the number of vehicles are sampled, which do not have a physical meaning. </li>\n",
+    "- The observations are focussed in an area of the plot while the simulations are a bit more spread around. This is because the observations are dependent on each other, there is a physical relationship between the number of cars and the number of trucks, while the simulations are assumed to be independent. Moreover, negative numbers for the number of vehicles are sampled, which do not have a physical meaning. </li>\n",
     "- There is a correlation of 0.27 between the observed $H$ and $C$, indicating dependence between the variables. On the contrary, no significant correlation between the generated samples is observed.</li>\n",
-    "- <b>Some suggestions:</b> Improve the fit of $C$. Account for the dependence between the two variables. </li>\n",
+    "- <b>Some suggestions:</b> Improve the fit of $C$ with a different distribution. Account for the dependence between the two variables. </li>\n",
     "</div>"
    ]
   },
@@ -739,9 +740,9 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "multi_more",
+   "display_name": "mude-week-8",
    "language": "python",
-   "name": "multi_more"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -753,7 +754,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.12.7"
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diff --git a/content/GA_1_7/Solution/Feedback.md b/content/GA_1_7/Solution/Feedback.md
new file mode 100644
index 0000000000000000000000000000000000000000..8735d6c8ede3a1763c84cbf41589da9b42bfbc40
--- /dev/null
+++ b/content/GA_1_7/Solution/Feedback.md
@@ -0,0 +1,60 @@
+# Feedback for Group Assignment 1.7
+
+*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): Week 1.7, Friday, Oct 18, 2024.*
+
+**This Feedback file contains a few observations and conclusions for all three data sets. See the solution notebooks for more details about a particular data set. A Report solution is not provided, as all relevant information is summarized in this file or the notebooks.**
+
+A few particular notes for specific data sets are identified with italics (_disharge, emissions_ or _force_).
+
+## Questions
+
+**Question 1**
+
+- Discharge best fit: h by Gaussian, u by Gumbel
+- Emissions best fit: H by Gaussian, C by uniform
+- Force best fit: H by exponential, T by Gumbel
+
+Avoid words such as “clearly” or “obviously” when choosing your distribution. State your assumption and provide arguments.
+
+_Emissions:_ Most groups went for a log-normal distribution for C. It can be argued that you use lognormal, however in the GoF tests, it should strike you that the right tail does not fit. Some groups went for Gumbel for H. Do not solely rely on your metrics, make sure you visually inspect the data, do you really see it skewed? Maybe try both and look at the fitted line through a histogram.
+
+**Question 2**
+
+p-values are
+- Discharge: h --> 0.719, u --> 0.152 (both H_0 not rejected)
+- Emissions:  H --> 0.001, C --> 0.0 (both rejected)
+- Force: H --> 0.0, d --> 0.0 (both rejected)
+
+Check your KS-tests! Some groups gave some wrong arguments in the function. Also check what it means and definitely do not “discard” it because it tells you something different than your QQ plot. It is possible to reject the null hypothesis, which is based on a strict mathematical criteria, but still accept the distribution for other reasons (e.g., the deviations in the QQ plot are sufficiently small for your purposes; or perhaps it's better than the other distribution). If you were given advice to "discard" the KS test from a teacher in class, you were still expected to justify the reasoning behind it.
+
+Check your code to make sure that you computed the value correctly. Additionally, do not compare p-values, this results in mistakes in interpretation (the p-value should be used to assess pass/fail, it is not meant to be a relative comparison).
+
+A function does not fit worse or better because the KS test P value is lower or higher respectively.
+
+When you say “it does not fit well” ask yourself why. This is what we look for in argumentation. 
+
+Lastly, do not be too quick and claim things “fit quite well” even if you see large deviations at the tails. Be precise in your wording. Example: “The distribution fits the data well below X meters, however the distribution over/underestimates the right tail.”
+
+**Question 3**
+
+Some groups highlight that “the simulations look much more like X distribution than the data”. Do not forget to mention why. This is of course expected as the simulations are sampled from these distributions.
+
+Make sure to point out certain differences such as the spreading and where these came from.
+
+Check if your values have meaning. Does a negative force or a negative emission have meaning? If you truncated your data or dealt with these values in another way, specify it in the report or add a plot.
+
+**Question 4**
+
+The correlation coefficients are:
+- Discharge: 0.39
+- Emissions: 0.27
+- Force: 0.46
+
+Many groups simply stated the value of the correlation coefficient and forgot to argue what effect correlation has on the final distribution. 
+
+_Discharge:_ The distributions may fit well, however the right tail does not, a recommendation could be to choose another one.
+
+**End of file.**
+
+<span style="font-size: 75%">
+&copy; Copyright 2024 <a rel="MUDE" href="http://mude.citg.tudelft.nl/">MUDE</a>, TU Delft. This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">CC BY 4.0 License</a>.
\ No newline at end of file
diff --git a/content/GA_1_7/Solution/Force/Analysis_force_solution.ipynb b/content/GA_1_7/Solution/Force/Analysis_force_solution.ipynb
index 6905dc92c49ea8c4122334cbd70b393efa104907..6b8faf0b0002b4f3802ea3144084cf201e144cf7 100644
--- a/content/GA_1_7/Solution/Force/Analysis_force_solution.ipynb
+++ b/content/GA_1_7/Solution/Force/Analysis_force_solution.ipynb
@@ -749,9 +749,9 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "multi_more",
+   "display_name": "mude-base",
    "language": "python",
-   "name": "multi_more"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -763,7 +763,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
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+   "version": "3.12.4"
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diff --git a/src/students/GA_1_7/solutions/Analysis_discharge_solution.html b/src/students/GA_1_7/solutions/Analysis_discharge_solution.html
new file mode 100644
index 0000000000000000000000000000000000000000..16d743d66ed677a92fb5449e3796b4e120fb700c
--- /dev/null
+++ b/src/students/GA_1_7/solutions/Analysis_discharge_solution.html
@@ -0,0 +1,8386 @@
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>Analysis_discharge_solution</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script><script>
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+  document.addEventListener('DOMContentLoaded', addWidgetsRenderer);
+}());
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+<style type="text/css">
+    pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
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+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: var(--jp-cell-editor-active-background) }
+.highlight { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }
+.highlight .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */
+.highlight .err { color: var(--jp-mirror-editor-error-color) } /* Error */
+.highlight .k { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword */
+.highlight .o { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator */
+.highlight .p { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation */
+.highlight .ch { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */
+.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */
+.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */
+.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */
+.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */
+.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */
+.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */
+.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */
+.highlight .pm { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation.Marker */
+.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */
+.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */
+.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */
+.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */
+.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */
+.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */
+.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */
+.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */
+.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */
+.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */
+.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */
+.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */
+.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */
+.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */
+.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */
+.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
+.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
+.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
+.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
+.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
+  </style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+ * Mozilla scrollbar styling
+ */
+
+/* use standard opaque scrollbars for most nodes */
+[data-jp-theme-scrollbars='true'] {
+  scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
+    var(--jp-scrollbar-background-color);
+}
+
+/* for code nodes, use a transparent style of scrollbar. These selectors
+ * will match lower in the tree, and so will override the above */
+[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
+[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+  scrollbar-width: thin;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny::-webkit-scrollbar,
+.jp-scrollbar-tiny::-webkit-scrollbar-corner {
+  background-color: transparent;
+  height: 4px;
+  width: 4px;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
+  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
+  border-left: 0 solid transparent;
+  border-right: 0 solid transparent;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
+  border-top: 0 solid transparent;
+  border-bottom: 0 solid transparent;
+}
+
+/*
+ * Lumino
+ */
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  min-height: 16px;
+  max-height: 16px;
+  min-width: 45px;
+  border-top: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  min-width: 16px;
+  max-width: 16px;
+  min-height: 45px;
+  border-left: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar-button {
+  background-color: #f0f0f0;
+  background-position: center center;
+  min-height: 15px;
+  max-height: 15px;
+  min-width: 15px;
+  max-width: 15px;
+}
+
+.lm-ScrollBar-button:hover {
+  background-color: #dadada;
+}
+
+.lm-ScrollBar-button.lm-mod-active {
+  background-color: #cdcdcd;
+}
+
+.lm-ScrollBar-track {
+  background: #f0f0f0;
+}
+
+.lm-ScrollBar-thumb {
+  background: #cdcdcd;
+}
+
+.lm-ScrollBar-thumb:hover {
+  background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+  background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+  height: 100%;
+  min-width: 15px;
+  border-left: 1px solid #a0a0a0;
+  border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+  width: 100%;
+  min-height: 15px;
+  border-top: 1px solid #a0a0a0;
+  border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-left);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-right);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-up);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-down);
+  background-size: 17px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Widget {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+}
+
+.lm-Widget.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  display: flex;
+  flex-direction: column;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-CommandPalette-search {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  min-height: 0;
+  overflow: auto;
+  list-style-type: none;
+}
+
+.lm-CommandPalette-header {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-CommandPalette-item {
+  display: flex;
+  flex-direction: row;
+}
+
+.lm-CommandPalette-itemIcon {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemContent {
+  flex: 1 1 auto;
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemLabel {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-close-icon {
+  border: 1px solid transparent;
+  background-color: transparent;
+  position: absolute;
+  z-index: 1;
+  right: 3%;
+  top: 0;
+  bottom: 0;
+  margin: auto;
+  padding: 7px 0;
+  display: none;
+  vertical-align: middle;
+  outline: 0;
+  cursor: pointer;
+}
+.lm-close-icon:after {
+  content: 'X';
+  display: block;
+  width: 15px;
+  height: 15px;
+  text-align: center;
+  color: #000;
+  font-weight: normal;
+  font-size: 12px;
+  cursor: pointer;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-DockPanel {
+  z-index: 0;
+}
+
+.lm-DockPanel-widget {
+  z-index: 0;
+}
+
+.lm-DockPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-DockPanel-handle {
+  z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+  cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+  cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+  z-index: 3;
+  box-sizing: border-box;
+  pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
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+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMTUwIDE1MCA1NDEuOSAyOTUuMyI+CiAgPGcgY2xhc3M9ImpwLWljb24tYnJhbmQyIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iIzYxREFGQiI+CiAgICA8cGF0aCBkPSJNNjY2LjMgMjk2LjVjMC0zMi41LTQwLjctNjMuMy0xMDMuMS04Mi40IDE0LjQtNjMuNiA4LTExNC4yLTIwLjItMTMwLjQtNi41LTMuOC0xNC4xLTUuNi0yMi40LTUuNnYyMi4zYzQuNiAwIDguMy45IDExLjQgMi42IDEzLjYgNy44IDE5LjUgMzcuNSAxNC45IDc1LjctMS4xIDkuNC0yLjkgMTkuMy01LjEgMjkuNC0xOS42LTQuOC00MS04LjUtNjMuNS0xMC45LTEzLjUtMTguNS0yNy41LTM1LjMtNDEuNi01MCAzMi42LTMwLjMgNjMuMi00Ni45IDg0LTQ2LjlWNzhjLTI3LjUgMC02My41IDE5LjYtOTkuOSA1My42LTM2LjQtMzMuOC03Mi40LTUzLjItOTkuOS01My4ydjIyLjNjMjAuNyAwIDUxLjQgMTYuNSA4NCA0Ni42LTE0IDE0LjctMjggMzEuNC00MS4zIDQ5LjktMjIuNiAyLjQtNDQgNi4xLTYzLjYgMTEtMi4zLTEwLTQtMTkuNy01LjItMjktNC43LTM4LjIgMS4xLTY3LjkgMTQuNi03NS44IDMtMS44IDYuOS0yLjYgMTEuNS0yLjZWNzguNWMtOC40IDAtMTYgMS44LTIyLjYgNS42LTI4LjEgMTYuMi0zNC40IDY2LjctMTkuOSAxMzAuMS02Mi4yIDE5LjItMTAyLjcgNDkuOS0xMDIuNyA4Mi4zIDAgMzIuNSA0MC43IDYzLjMgMTAzLjEgODIuNC0xNC40IDYzLjYtOCAxMTQuMiAyMC4yIDEzMC40IDYuNSAzLjggMTQuMSA1LjYgMjIuNSA1LjYgMjcuNSAwIDYzLjUtMTkuNiA5OS45LTUzLjYgMzYuNCAzMy44IDcyLjQgNTMuMiA5OS45IDUzLjIgOC40IDAgMTYtMS44IDIyLjYtNS42IDI4LjEtMTYuMiAzNC40LTY2LjcgMTkuOS0xMzAuMSA2Mi0xOS4xIDEwMi41LTQ5LjkgMTAyLjUtODIuM3ptLTEzMC4yLTY2LjdjLTMuNyAxMi45LTguMyAyNi4yLTEzLjUgMzkuNS00LjEtOC04LjQtMTYtMTMuMS0yNC00LjYtOC05LjUtMTUuOC0xNC40LTIzLjQgMTQuMiAyLjEgMjcuOSA0LjcgNDEgNy45em0tNDUuOCAxMDYuNWMtNy44IDEzLjUtMTUuOCAyNi4zLTI0LjEgMzguMi0xNC45IDEuMy0zMCAyLTQ1LjIgMi0xNS4xIDAtMzAuMi0uNy00NS0xLjktOC4zLTExLjktMTYuNC0yNC42LTI0LjItMzgtNy42LTEzLjEtMTQuNS0yNi40LTIwLjgtMzkuOCA2LjItMTMuNCAxMy4yLTI2LjggMjAuNy0zOS45IDcuOC0xMy41IDE1LjgtMjYuMyAyNC4xLTM4LjIgMTQuOS0xLjMgMzAtMiA0NS4yLTIgMTUuMSAwIDMwLjIuNyA0NSAxLjkgOC4zIDExLjkgMTYuNCAyNC42IDI0LjIgMzggNy42IDEzLjEgMTQuNSAyNi40IDIwLjggMzkuOC02LjMgMTMuNC0xMy4yIDI2LjgtMjAuNyAzOS45em0zMi4zLTEzYzUuNCAxMy40IDEwIDI2LjggMTMuOCAzOS44LTEzLjEgMy4yLTI2LjkgNS45LTQxLjIgOCA0LjktNy43IDkuOC0xNS42IDE0LjQtMjMuNyA0LjYtOCA4LjktMTYuMSAxMy0yNC4xek00MjEuMiA0MzBjLTkuMy05LjYtMTguNi0yMC4zLTI3LjgtMzIgOSAuNCAxOC4yLjcgMjcuNS43IDkuNCAwIDE4LjctLjIgMjcuOC0uNy05IDExLjctMTguMyAyMi40LTI3LjUgMzJ6bS03NC40LTU4LjljLTE0LjItMi4xLTI3LjktNC43LTQxLTcuOSAzLjctMTIuOSA4LjMtMjYuMiAxMy41LTM5LjUgNC4xIDggOC40IDE2IDEzLjEgMjQgNC43IDggOS41IDE1LjggMTQuNCAyMy40ek00MjAuNyAxNjNjOS4zIDkuNiAxOC42IDIwLjMgMjcuOCAzMi05LS40LTE4LjItLjctMjcuNS0uNy05LjQgMC0xOC43LjItMjcuOC43IDktMTEuNyAxOC4zLTIyLjQgMjcuNS0zMnptLTc0IDU4LjljLTQuOSA3LjctOS44IDE1LjYtMTQuNCAyMy43LTQuNiA4LTguOSAxNi0xMyAyNC01LjQtMTMuNC0xMC0yNi44LTEzLjgtMzkuOCAxMy4xLTMuMSAyNi45LTUuOCA0MS4yLTcuOXptLTkwLjUgMTI1LjJjLTM1LjQtMTUuMS01OC4zLTM0LjktNTguMy01MC42IDAtMTUuNyAyMi45LTM1LjYgNTguMy01MC42IDguNi0zLjcgMTgtNyAyNy43LTEwLjEgNS43IDE5LjYgMTMuMiA0MCAyMi41IDYwLjktOS4yIDIwLjgtMTYuNiA0MS4xLTIyLjIgNjAuNi05LjktMy4xLTE5LjMtNi41LTI4LTEwLjJ6TTMxMCA0OTBjLTEzLjYtNy44LTE5LjUtMzcuNS0xNC45LTc1LjcgMS4xLTkuNCAyLjktMTkuMyA1LjEtMjkuNCAxOS42IDQuOCA0MSA4LjUgNjMuNSAxMC45IDEzLjUgMTguNSAyNy41IDM1LjMgNDEuNiA1MC0zMi42IDMwLjMtNjMuMiA0Ni45LTg0IDQ2LjktNC41LS4xLTguMy0xLTExLjMtMi43em0yMzcuMi03Ni4yYzQuNyAzOC4yLTEuMSA2Ny45LTE0LjYgNzUuOC0zIDEuOC02LjkgMi42LTExLjUgMi42LTIwLjcgMC01MS40LTE2LjUtODQtNDYuNiAxNC0xNC43IDI4LTMxLjQgNDEuMy00OS45IDIyLjYtMi40IDQ0LTYuMSA2My42LTExIDIuMyAxMC4xIDQuMSAxOS44IDUuMiAyOS4xem0zOC41LTY2LjdjLTguNiAzLjctMTggNy0yNy43IDEwLjEtNS43LTE5LjYtMTMuMi00MC0yMi41LTYwLjkgOS4yLTIwLjggMTYuNi00MS4xIDIyLjItNjAuNiA5LjkgMy4xIDE5LjMgNi41IDI4LjEgMTAuMiAzNS40IDE1LjEgNTguMyAzNC45IDU4LjMgNTAuNi0uMSAxNS43LTIzIDM1LjYtNTguNCA1MC42ek0zMjAuOCA3OC40eiIvPgogICAgPGNpcmNsZSBjeD0iNDIwLjkiIGN5PSIyOTYuNSIgcj0iNDUuNyIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkuNDMgMTIuOThjLjA0LS4zMi4wNy0uNjQuMDctLjk4cy0uMDMtLjY2LS4wNy0uOThsMi4xMS0xLjY1Yy4xOS0uMTUuMjQtLjQyLjEyLS42NGwtMi0zLjQ2Yy0uMTItLjIyLS4zOS0uMy0uNjEtLjIybC0yLjQ5IDFjLS41Mi0uNC0xLjA4LS43My0xLjY5LS45OGwtLjM4LTIuNjVBLjQ4OC40ODggMCAwMDE0IDJoLTRjLS4yNSAwLS40Ni4xOC0uNDkuNDJsLS4zOCAyLjY1Yy0uNjEuMjUtMS4xNy41OS0xLjY5Ljk4bC0yLjQ5LTFjLS4yMy0uMDktLjQ5IDAtLjYxLjIybC0yIDMuNDZjLS4xMy4yMi0uMDcuNDkuMTIuNjRsMi4xMSAxLjY1Yy0uMDQuMzItLjA3LjY1LS4wNy45OHMuMDMuNjYuMDcuOThsLTIuMTEgMS42NWMtLjE5LjE1LS4yNC40Mi0uMTIuNjRsMiAzLjQ2Yy4xMi4yMi4zOS4zLjYxLjIybDIuNDktMWMuNTIuNCAxLjA4LjczIDEuNjkuOThsLjM4IDIuNjVjLjAzLjI0LjI0LjQyLjQ5LjQyaDRjLjI1IDAgLjQ2LS4xOC40OS0uNDJsLjM4LTIuNjVjLjYxLS4yNSAxLjE3LS41OSAxLjY5LS45OGwyLjQ5IDFjLjIzLjA5LjQ5IDAgLjYxLS4yMmwyLTMuNDZjLjEyLS4yMi4wNy0uNDktLjEyLS42NGwtMi4xMS0xLjY1ek0xMiAxNS41Yy0xLjkzIDAtMy41LTEuNTctMy41LTMuNXMxLjU3LTMuNSAzLjUtMy41IDMuNSAxLjU3IDMuNSAzLjUtMS41NyAzLjUtMy41IDMuNXoiLz4KPC9zdmc+Cg==);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KIDxnIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzQxNDE0MSI+CiAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiA8L2c+CiA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiB0cmFuc2Zvcm09InRyYW5zbGF0ZSguNDMgLjA0MDEpIiBmaWxsPSIjZmZmIj4KICA8cGF0aCBkPSJtNC4xNCA4Ljc2cTAuMDY4Mi0xLjg5IDIuNDItMS44OSAxLjE2IDAgMS42OCAwLjQyIDAuNTY3IDAuNDEgMC41NjcgMS4xNnYzLjQ3cTAgMC40NjIgMC41MTQgMC40NjIgMC4xMDMgMCAwLjItMC4wMjMxdjAuNzE0cS0wLjM5OSAwLjEwMy0wLjY1MSAwLjEwMy0wLjQ1MiAwLTAuNjkzLTAuMjItMC4yMzEtMC4yLTAuMjg0LTAuNjYyLTAuOTU2IDAuODcyLTIgMC44NzItMC45MDMgMC0xLjQ3LTAuNDcyLTAuNTI1LTAuNDcyLTAuNTI1LTEuMjYgMC0wLjI2MiAwLjA0NTItMC40NzIgMC4wNTY3LTAuMjIgMC4xMTYtMC4zNzggMC4wNjgyLTAuMTY4IDAuMjMxLTAuMzA0IDAuMTU4LTAuMTQ3IDAuMjYyLTAuMjQyIDAuMTE2LTAuMDkxNCAwLjM2OC0wLjE2OCAwLjI2Mi0wLjA5MTQgMC4zOTktMC4xMjYgMC4xMzYtMC4wNDUyIDAuNDcyLTAuMTAzIDAuMzM2LTAuMDU3OCAwLjUwNC0wLjA3OTggMC4xNTgtMC4wMjMxIDAuNTY3LTAuMDc5OCAwLjU1Ni0wLjA2ODIgMC43NzctMC4yMjEgMC4yMi0wLjE1MiAwLjIyLTAuNDQxdi0wLjI1MnEwLTAuNDMtMC4zNTctMC42NjItMC4zMzYtMC4yMzEtMC45NzYtMC4yMzEtMC42NjIgMC0wLjk5OCAwLjI2Mi0wLjMzNiAwLjI1Mi0wLjM5OSAwLjc5OHptMS44OSAzLjY4cTAuNzg4IDAgMS4yNi0wLjQxIDAuNTA0LTAuNDIgMC41MDQtMC45MDN2LTEuMDVxLTAuMjg0IDAuMTM2LTAuODYxIDAuMjMxLTAuNTY3IDAuMDkxNC0wLjk4NyAwLjE1OC0wLjQyIDAuMDY4Mi0wLjc2NiAwLjMyNi0wLjMzNiAwLjI1Mi0wLjMzNiAwLjcwNHQwLjMwNCAwLjcwNCAwLjg2MSAwLjI1MnoiIHN0cm9rZS13aWR0aD0iMS4wNSIvPgogIDxwYXRoIGQ9Im0xMCA0LjU2aDAuOTQ1djMuMTVxMC42NTEtMC45NzYgMS44OS0wLjk3NiAxLjE2IDAgMS44OSAwLjg0IDAuNjgyIDAuODQgMC42ODIgMi4zMSAwIDEuNDctMC43MDQgMi40Mi0wLjcwNCAwLjg4Mi0xLjg5IDAuODgyLTEuMjYgMC0xLjg5LTEuMDJ2MC43NjZoLTAuODV6bTIuNjIgMy4wNHEtMC43NDYgMC0xLjE2IDAuNjQtMC40NTIgMC42My0wLjQ1MiAxLjY4IDAgMS4wNSAwLjQ1MiAxLjY4dDEuMTYgMC42M3EwLjc3NyAwIDEuMjYtMC42MyAwLjQ5NC0wLjY0IDAuNDk0LTEuNjggMC0xLjA1LTAuNDcyLTEuNjgtMC40NjItMC42NC0xLjI2LTAuNjR6IiBzdHJva2Utd2lkdGg9IjEuMDUiLz4KICA8cGF0aCBkPSJtMi43MyAxNS44IDEzLjYgMC4wMDgxYzAuMDA2OSAwIDAtMi42IDAtMi42IDAtMC4wMDc4LTEuMTUgMC0xLjE1IDAtMC4wMDY5IDAtMC4wMDgzIDEuNS0wLjAwODMgMS41LTJlLTMgLTAuMDAxNC0xMS4zLTAuMDAxNC0xMS4zLTAuMDAxNGwtMC4wMDU5Mi0xLjVjMC0wLjAwNzgtMS4xNyAwLjAwMTMtMS4xNyAwLjAwMTN6IiBzdHJva2Utd2lkdGg9Ii45NzUiLz4KIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
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+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f1cdbc9c-a28f-481d-b082-326fde573afb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Group-Assignment-1.7:-Distribution-Fitting">Group Assignment 1.7: Distribution Fitting<a class="anchor-link" href="#Group-Assignment-1.7:-Distribution-Fitting">¶</a></h1><h1 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0">
+<style>
+        .markdown {width:100%; position: relative}
+        article { position: relative }
+    </style>
+<img alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png" style="width:100px; height: auto; margin: 0"/>
+<img alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png" style="width:100px; height: auto; margin: 0"/>
+</h1>
+<h2 style="height: 10px">
+</h2>
+<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: Week 7, Friday Oct 18, 2024.</em></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b26d81da-b5a7-44b0-8049-eec218ab84e2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Case-3:-Discharges-on-a-structure">Case 3: Discharges on a structure<a class="anchor-link" href="#Case-3:-Discharges-on-a-structure">¶</a></h2><p><strong>What's the propagated uncertainty? *How large will be the discharge?</strong>*</p>
+<p>In this project, you have chosen to work on the uncertainty of water depths ($h$) and water velocities ($u$) on top of a hydraulic structure to estimate the discharge. You have observations from physical experiments of waves impacting a breakwater during a wave storm scaled up to prototype scale. You can further read on the dataset <a href="https://doi.org/10.1016/j.coastaleng.2024.104483">here</a>. Remember that the discharge can be computed as</p>
+$$
+q = u S
+$$<p>where $S$ is the section the flow crosses. Thus, assuming a discharge width of 1m, we can simplify the previous equation as</p>
+$$
+q = u h 
+$$<p><strong>The goal of this project is:</strong></p>
+<ol>
+<li>Choose a reasonable distribution function for $u$ and $h$.</li>
+<li>Fit the chosen distributions to the observations of $u$ and $h$.</li>
+<li>Assuming $d$ and $h$ are independent, propagate their distributions to obtain the distribution of $q$.</li>
+<li>Analyze the distribution of $q$.</li>
+</ol>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d33f1148-c72b-4c7e-bca7-45973b2570c5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Importing-packages">Importing packages<a class="anchor-link" href="#Importing-packages">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=4fc6e87d-c66e-43df-a937-e969acc409f8">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span> 
+<span class="kn">from</span> <span class="nn">math</span> <span class="kn">import</span> <span class="n">ceil</span><span class="p">,</span> <span class="n">trunc</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">'font.size'</span><span class="p">:</span> <span class="mi">14</span><span class="p">})</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1ee42f39">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="1.-Explore-the-data">1. Explore the data<a class="anchor-link" href="#1.-Explore-the-data">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=27fd05f1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>First step in the analysis is exploring the data, visually and through its statistics.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a2f08dc7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Import</span>
+<span class="n">h</span><span class="p">,</span> <span class="n">u</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">genfromtxt</span><span class="p">(</span><span class="s1">'dataset_hu.csv'</span><span class="p">,</span> <span class="n">delimiter</span><span class="o">=</span><span class="s2">","</span><span class="p">,</span> <span class="n">unpack</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">skip_header</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># plot time series</span>
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">7</span><span class="p">),</span> <span class="n">layout</span> <span class="o">=</span> <span class="s1">'constrained'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">h</span><span class="p">,</span><span class="s1">'k'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Time'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Water depth, h (m)'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">u</span><span class="p">,</span><span class="s1">'k'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Time'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Water velocity, u (m/s)'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
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"/>
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+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a2a69142">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Statistics for h</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">h</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>DescribeResult(nobs=68, minmax=(0.461226714, 2.145350569), mean=1.2111498297794114, variance=0.12978488665520282, skewness=0.14334685820761273, kurtosis=-0.13187143389377054)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6f9fb23c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Statistics for u</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">u</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>DescribeResult(nobs=68, minmax=(1.053685265, 2.462845221), mean=1.4639994874705884, variance=0.0923129918424704, skewness=0.9068207897163783, kurtosis=0.8066103334798851)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bfadcf3f-4578-4809-acdb-625ab3a71f27">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 1:</b>
+<p>Describe the data based on the previous statistics:
+    <li>Which variable presents a higher variability?</li>
+<li>What does the skewness coefficient means? Which kind of distribution functions should we consider to fit them?</li></p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0bda5138">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>$h$ presents a higher variance while $h$ and $u$ have a similar mean. Then, if we compute the coefficient of variation to standardize that variability, we obtain $CV(h)=0.130/1.211 = 0.107$ and $CV(u)= 0.092/1.464 = 0.063$. Thus, $h$ has higher variability than $u$.</li>
+<li>Both $h$ and $u$ have a positive non-zero skewness, being the one for $u$ significantly higher. Thus, the data presents a right tail and mode &lt; median &lt; mean. An appropriate distribution for $h$ and $u$ would be one which: (1) it is bounded in 0 (no negative values of $h$ or $u$ are physically possible), and (2) has a positive tail. If we consider the distributions that you have been introduced to, Lognormal, Gumbel or Exponential would be a possibility. Also, Gaussian distribution might be a possibility for $h$ as the skewness is relatively low and might not be significant.</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d4886ae8">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="2.-Empirical-distribution-functions">2. Empirical distribution functions<a class="anchor-link" href="#2.-Empirical-distribution-functions">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0609e0a6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now, we are going to compute and plot the empirical PDF and CDF for each variable. Note that you have the pseudo-code for the empirical CDF in the <a href="https://mude.citg.tudelft.nl/book/probability/empirical.html">reader</a>.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b20641d9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 2:</b>
+<p>Define a function to compute the empirical CDF. Plot the empirical PDF and CDF.</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=3a47f881">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ecdf</span><span class="p">(</span><span class="n">var</span><span class="p">):</span>
+    <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">var</span><span class="p">)</span> <span class="c1"># sort the values from small to large</span>
+    <span class="n">n</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">size</span> <span class="c1"># determine the number of datapoints\</span>
+    <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">n</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
+    <span class="k">return</span> <span class="p">[</span><span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=31ef8aaf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">h</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'cornflowerblue'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Water depth, h (m)'</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Random variable (X)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'density'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">u</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Water velocity, u (m/s)'</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'PDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'cornflowerblue'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Water depth, h (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Random variable (X)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X \leq x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Water velocity, u (m/s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'CDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f364c8cd">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 3:</b>
+<p>Based on the results of Task 1 and the empirical PDF and CDF, select <b>one</b> distribution to fit to each variable. For $h$, select between Uniform or Gaussian distribution, while for $u$ choose between Exponential or Gumbel.</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f2180ae7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<p>$h$: Gaussian
+$u$: Gumbel</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=850d6d0c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="3.-Fitting-a-distribution">3. Fitting a distribution<a class="anchor-link" href="#3.-Fitting-a-distribution">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6a24dbfa">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 4:</b>
+<p>Fit the selected distributions to the observations using MLE.</p>
+</p>
+</div>
+<p>Hint: Use <a href="https://docs.scipy.org/doc/scipy/reference/stats.html">Scipy</a> built in functions (watch out with the parameters definition!).</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9ff84ed1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">params_h</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">h</span><span class="p">)</span>
+<span class="n">params_u</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">u</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=33ad10d9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="4.-Assessing-goodness-of-fit">4. Assessing goodness of fit<a class="anchor-link" href="#4.-Assessing-goodness-of-fit">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=30f5112c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 5:</b>
+<p>Assess the goodness of fit of the selected distribution using:
+    <li> One graphical method: QQplot or Logscale. Choose one.</li>
+<li> Kolmogorov-Smirnov test.</li></p>
+</p>
+</div>
+<p>Hint: You have Kolmogorov-Smirnov test implemented in <a href="https://docs.scipy.org/doc/scipy/reference/stats.html">Scipy</a>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a344a7cb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#Graphical method</span>
+
+<span class="c1">#Logscale</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Water depth, h'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="o">*</span><span class="n">params_h</span><span class="p">),</span>
+             <span class="s1">'--'</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gaussian'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Water depth, h (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'h'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Water velocity, u'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="o">*</span><span class="n">params_u</span><span class="p">),</span>
+             <span class="s1">'--'</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gumbel'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Water velocity, u (m/s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'u'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6689fc09">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># QQplot</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">h</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">h</span><span class="p">))],</span> <span class="p">[</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">h</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">h</span><span class="p">))],</span> <span class="s1">'k'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">h</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="o">*</span><span class="n">params_h</span><span class="p">),</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gaussian'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Observed h (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Estimated h (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'h'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">h</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">h</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">h</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">h</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">u</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">u</span><span class="p">))],</span> <span class="p">[</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">u</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">u</span><span class="p">))],</span> <span class="s1">'k'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">u</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="o">*</span><span class="n">params_u</span><span class="p">),</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gumbel'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Observed u (m/s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Estimated u (m/s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'u'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">u</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">u</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">u</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">u</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=d6057bb2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#KStest</span>
+
+<span class="n">_</span><span class="p">,</span> <span class="n">p_h</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kstest</span><span class="p">(</span><span class="n">h</span><span class="p">,</span><span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">cdf</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="n">params_h</span><span class="p">)</span>
+<span class="n">_</span><span class="p">,</span> <span class="n">p_u</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kstest</span><span class="p">(</span><span class="n">u</span><span class="p">,</span><span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">cdf</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="n">params_u</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The p-value for the fitted Gaussian distribution to h is:'</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">p_h</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The p-value for the fitted Gumbel distribution to u is:'</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">p_u</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>The p-value for the fitted Gaussian distribution to h is: 0.719
+The p-value for the fitted Gumbel distribution to u is: 0.152
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ad185d88">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 6:</b>
+<p>Interpret the results of the GOF techniques. How does the selected parametric distribution perform?</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=19bf25f5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>Logscale plot: This technique allows to visually assess the fitting of the parametric distribution to the tail of the empirical distribution. For both $h$ and $u$, Gaussian and Gumbel distributions performs well even in the tail of the distribution. For $h$, high values start to deviate from the Gaussian distribution, indicating that for lower non-exceedance probabilities it might not be a good fit. </li>
+<li>QQplot: Similar conclusions to those for Logscale can be derived.</li>
+<li>Kolmogorov-Smirnov test: remember that the test statistic measures the difference between two distributions. The p-value then represents the probability of observing a difference at least that large for a sample from the assumed distribution. If p-value is lower than the significance ($\alpha=0.05$, for instance), the null hypothesis is rejected. Considering here $\alpha=0.05$, we can accept that the variable $h$ comes from a Gaussian distribution and that $u$ comes from a Gumbel distribution.</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=12fbd5cf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="5.-Propagating-the-uncertainty">5. Propagating the uncertainty<a class="anchor-link" href="#5.-Propagating-the-uncertainty">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a3ee90f7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Using the fitted distributions, we are going to propagate the uncertainty from $h$ and $u$ to $q$ <strong>assuming that $h$ and $u$ are independent</strong>.</p>
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 7:</b>
+<ol>
+<li><p>Draw 10,000 random samples from the fitted distribution functions for $h$ and $u$.</p>
+</li>
+<li><p>Compute $q$ for each pair of samples.</p>
+</li>
+<li><p>Compute $q$ for the observations.</p>
+</li>
+<li><p>Plot the PDF and exceedance curve in logscale of $q$ computed using both the simulations and the observations.</p>
+</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c200a7b5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Here, the solution is shown for the Lognormal distribution</span>
+
+<span class="c1"># Draw random samples</span>
+<span class="n">rs_h</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="o">*</span><span class="n">params_h</span><span class="p">,</span> <span class="n">size</span> <span class="o">=</span> <span class="mi">10000</span><span class="p">)</span>
+<span class="n">rs_u</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="o">*</span><span class="n">params_u</span><span class="p">,</span> <span class="n">size</span> <span class="o">=</span> <span class="mi">10000</span><span class="p">)</span>
+
+<span class="c1">#Compute Fh</span>
+<span class="n">rs_q</span> <span class="o">=</span> <span class="n">rs_h</span> <span class="o">*</span> <span class="n">rs_u</span>
+
+<span class="c1">#repeat for observations</span>
+<span class="n">q</span> <span class="o">=</span> <span class="n">h</span> <span class="o">*</span> <span class="n">u</span>
+
+<span class="c1">#plot the PDF and the CDF</span>
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">rs_q</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">q</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">facecolor</span> <span class="o">=</span> <span class="s1">'orange'</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
+             <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Discharge (m3/s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'density'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'PDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">rs_q</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">rs_q</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">q</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">q</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'orange'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Discharge (m3/s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Exceedance plot'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
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o24cuWKwfKEhARp1gXd+S+IQYMGAQAOHz6MPXv2GKzPzMzE119/DSBrBoGGDRvqrXd0dAQAvZ8fKtuY3BNRiRNFEdeuXcOSJUvQvHlzzJ8/HwDQpUuXXActIiIiMqUJEybg4sWLcHZ2xu+//y6Nqj5w4EApqRw9erTUcq3z448/QqVS4dq1a/D19cXu3bulgeA0Gg2ioqIwZswY7Nu3T9rG2dkZCxYsAJDVzb1Xr144evQotFotgKyE/tKlS5g3bx4aNGgg3QDXmTVrFipXroyEhAS0bdsWq1atwpMnT6T18fHx2Lx5M15//XVpOj2d/v37o3nz5tL7zZs3S8+lX7p0Ca+++iri4+NzPU89evQAAMycORNbtmyRWo1jYmIwZMgQbNiwAS4uLvmdbqP4+flJCe+HH36IyZMn63VZT0hIwLJly6TrpTNp0iQ0atQIaWlp8PPzw88//yx1ZQeykt9du3Zh+PDhaN++vdHxqVQq9OjRA/v27ZNu2ERFRaFr165ISEiAg4NDoW5+9O/fXxq1PyAgAGvWrJF+tmJiYtC/f38cPnwYAPD9998bbK9L9jdt2sTpgsuLFye+JyLKbtq0aSIAsbC/LlasWCFtV7FiRdHd3V10d3cXXV1dRblcLq0DIDo4OIgzZ84U1Wp1rvvTlZ02bVoRvxEREZVF2esrXZ2T1ysyMlLadvPmzdK2GzduNNh3SkqKWLduXRGA2L59ezEzM1NvfWhoqOjk5CTtQ6lUihUqVBCVSqW07I8//jDY76JFi0QrKyupjLW1tcF2AMTVq1cbbHvx4kWxdu3aUhmZTCa6urqKdnZ2ett27drVYNvo6GixWrVqesfVxW9lZSVu27ZNWnfgwAG9bWNjY0V3d3dpvUKh0Pvus2bNEjt27JhrnZ3bfrPLa/uUlBTxjTfe0PuOjo6OejE0adLEYLvbt2+Lbdq0kcoIgiA6OzuLjo6OevuqWbNmrnHlRrftr7/+Knp4eIgARFtbW9He3l7vHP/55595bp/TObl165bYoEEDqYyVlZXo7Oysd91//PHHHPd78OBBURAEEYAol8tFT09P0cvLS/Ty8ir0d6TSgS33RGRyCQkJuH//Pu7fv4+0tDS4ubnh5Zdfxttvv42VK1fi7t27+OKLL6Spb4iIiIpCV+fk9crIyACQ9Qz5O++8AyCr23dO89nb2tpi7dq1sLa2xqFDhzBz5ky99d27d8e1a9fwxRdfoFmzZrCxsUFKSgqqVKkCf39/LF68OMc50MeMGYMrV67g448/RpMmTWBtbY3ExETY29ujRYsWGDt2LPbu3WvQ+g4A9erVw9mzZ7F48WJ0794dFStWRHJyMkRRRM2aNTFw4EAsWbIEGzZsMNjWx8cHp0+fxsSJE1GjRg2IogiVSoUBAwbgn3/+Qd++fXM9t15eXjh+/DjefvttVK5cGUBWi3Xv3r0RGhqKyZMn53Flis7W1habN2/Gn3/+iddffx2VK1dGWloaFAoFGjdujHHjxkmPUmRXuXJlREREYO3atejbty88PT2RmpqKjIwMeHt7o0+fPliwYAHCw8ONjq1GjRo4deoUgoKC4ObmhoyMDFSqVAmDBw/GqVOn0KtXr0Lvs0qVKjh+/Djmz5+PNm3awMbGBqmpqahWrRqGDRuGEydOYNy4cTlu26FDB/z111/o2rUrnJ2dcf/+fcTFxZl8YEEyH0EUOcICERERERGRMXSzBRw4cIAz/pBZseWeiIiIiIiIqJRjck9ERERERERUyjG5JyIiIiIiIirlmNwTERERERERlXIcmpqIiIiIiMhIHJ+cLAVb7omIiIiIiIhKObbcF5BWq8WdO3fg4OAgTXdBRERkTqIo4smTJ6hcuTJkMt6vLw6s74mIyJIUpq5ncl9Ad+7cQbVq1cwdBhERkYGbN2+iatWq5g6jTGB9T0RElqggdT2T+wJycHAAkHVSHR0dTXIMtVqNPXv2oHv37lAqlSY5BpkPr2/Zx2tc9lnaNU5OTka1atWkOoqKztT1vaX9DFHx4vUt+3iNyz5Lu8aFqeuZ3BeQrmueo6OjSZN7W1tbODo6WsQPEhUvXt+yj9e47LPUa8zu48XH1PW9pf4MUfHg9S37eI3LPku9xgWp6/mAHhEREREREVEpx+SeiIiIiIiIqJRjck9ERERERERUyjG5JyIiIiIiIirlmNwTERERERERlXIcLZ+olFOr1dBoNOYOg5B1LRQKBdLS0nhNyihTX2O5XG5RI/MSkWVgXW85WNeXfSVxjU1V3zO5JyqlkpOTkZCQgPT0dHOHQv8RRREeHh64efMmpyYro0riGltbW6NixYomm3aViEoP1vWWh3V92VdS19gU9T2Te6JSKDk5Gbdv34a9vT0qVqwIpVLJCsYCaLVaPH36FPb29pDJ+NRTWWTKayyKItRqNZKSknD79m0AYIJPVI6xrrdMrOvLPlNfY1PW90zuiUqhhIQE2Nvbo2rVqqzoLYhWq0VGRgZUKhUr/DLK1NfYxsYGDg4OuHXrFhISEpjcE5VjrOstE+v6sq8krrGp6nv+RBKVMmq1Gunp6XBycmJlT1QGCYIAJycnpKenQ61WmzscIjID1vVEZZ8p6nsm90SljG5gDw66RVR26f5/c7AmovKJdT1R+VDc9T2Te6JSinfyicou/v8mIoC/C4jKuuL+P87knoiIiIiIiKiUY3JPREREZcaPP/4ILy8vqFQqtGvXDmfOnDF3SERERCWCyT0RERGVCWvWrMFnn32Gb775BidOnEDNmjXh7++P5ORkc4dGRERkcpwKj6iM0Wg0iImJMXcYuapRowbkcrm5wyjVwsLC4Ofnh2nTpmH69OnmDgcAMHLkSKxcuRIxMTHw9vYutceg0u3//u//MGbMGAwfPhwAsGzZMnh4eGDNmjUYM2aMmaMjIioc1ves7wuLyT1RGRMTEwPfqeuhcKpk7lAMZCY9QOTMQNSsWdPofcTGxqJGjRp5lnn8+DGcnZ2NPgaZR0hICEaNGoUVK1Zg5MiR5g6HTGD16tU4dOgQTpw4gXPnziEjIyPf6x0VFYVp06bhn3/+gVqtRqNGjTBx4kQEBATolcvIyMCpU6cwbdo0aZlCoUCnTp1w+PBhJvdEpQzr+7KL9b3pMLknKoMUTpWgdKls7jBM6qWXXsLQoUNzXKdSqUo4mpLVqlUrXLp0CRUrVjR3KCVq9uzZ+Pzzz1GlShVzh0JGmjp1KuLi4lCxYkV4enoiLi4uz/IHDhyAv78/VCoVBg0aBAcHB2zevBmBgYG4efMmJk2aJJVNSEiARqOBu7u73j4qVaqE6Ohok3wfIjI91ves76ngmNwTUalUs2ZNi+miVtJsbW1Rt25dc4dR4jw9PeHp6WnuMKgIli1bhlq1asHLywvfffcdJk+enGvZzMxMjB49GjKZDOHh4WjatCkA4KuvvkKrVq0wZcoUDBgwAF5eXiUUPRGZA+t71vdUcBxQj4jKpJCQEAiCgJCQEOzYsQO+vr5wcHDQe3YrISEBH330EWrUqAFra2tUqlQJAQEBOH/+vMH+Ro4cCUEQcOPGDcydOxe1a9eGjY0N6tevj3Xr1gHI6hb8zTffwMfHByqVCo0bN8auXbsKHHNaWhrmzZuHJk2awMnJCXZ2dvD29kZAQIDeiN9hYWEQBMHgjx1vb294e3sjKSkJ77//Pjw9PWFnZ4cOHTrg5MmTAIA7d+5g6NChqFSpEmxsbNC9e3dcu3ZNbz+xsbEQBCHXrnKCIKBTp075fp+MjAz89NNP8Pf3R7Vq1aRz/MYbb+DUqVN6ZUeOHIlRo0YBAEaNGgVBEKRX9jKCICA2NtbgWCtWrEDr1q1hb28Pe3t7tG7dGiEhIQblsp+748ePo1u3bnBwcICTkxNef/31HPd98uRJDBgwANWrV4eNjQ1q1qyJ1q1b49tvv833HJC+rl27FjgZ379/P6KjozFkyBApsQcAJycnTJkyBRkZGVi5cqW0vGLFipDL5bh//77efh48eAAPD49iiZ+ILI+56vupU6fC29ub9T3KXn3v7e0Nd3d3uLu7o2XLlqWqvmfLPRGVaRs3bsSePXvQu3dvfPDBB9Ko2fHx8Wjbti2io6PRqVMnDBo0CDExMdi0aRP++usvhIaGol27dgb7mzhxIo4ePYo+ffpALpdj3bp1GDJkCFxcXLBw4UJcuHABPXv2RHp6OtasWYN+/frh0qVLeOmll/KNdcSIEdiwYQMaN26MUaNGwdraGjdv3sSBAwcQFRWFJk2a5LuPjIwMdOvWDWlpaQgMDMT9+/exYcMGdO3aFf/88w/8/f3h6emJoUOH4vr169ixYwd69eqFS5cuFftAh48ePcJHH32E9u3bo2fPnnBxccGNGzewfft27Nq1C+Hh4WjZsiUA4LXXXkNiYiK2bduGfv366SVz+Rk3bhx++uknVKlSBW+//TYAYPPmzRg1ahROnTqFH3/80WCbqKgofP/99/Dz88N7772HU6dOYevWrTh37hzOnz8vdfU8ffo0XnnlFcjlcvTr1w/Vq1fHgwcPEB0djSVLluCLL74o+omiHIWFhQEAunfvbrDO398fAHDw4EFpmZWVFZo1a4a///4bvXv3BpDV+h8WFoaZM2fmepz09HSkp6dLn3W/I9RqNdRqtdHxn4h7jMl/XEDMw1TU83CATAYIEACISE6SY/m/RyCTZS0RBAGy//6u1b3XLZf+lZYBV+4/RaPKjpDLBChkMshkgEImQC6TQSYA95LTUM/DETZWctgqZbBXpCMjUwtXR2fYq5RQymVwtlXCzloOB2sl7K3lUMjZ3lMcdD8zRfnZ0W0viiK0Wi20Wq3eOlEU8UytKdL+S4KNUq6XsBWW7nvrzkN+5TZs2IC9e/eiV69eeP/995GcnAytVov4+Hj4+vpK9X1gYCBiYmKwefNm/PXXX9i1a5defS+KIgBgwoQJOHbsGHr37g25XI7169djyJAhcHR0xI8//ohr166hZ8+eSEtLw9q1a9GvXz9cuHChQPX98OHDsXHjRjRu3BgjR46U6vuwsDAcPXoUjRo1yvccZK/vAwICcP/+fWzcuBFdu3ZFREQEXn31VXh6euLNN9/E9evX8eeff6JXr164cOGCVN8X9hxnPz/ZfzZ1N0/at2+PV199Varvd+zYgV27diEsLEyq7/v27YvHjx9j+/bt6Nu3r159nz2eF48BAOPHj8fPP/+MKlWq4K233gIAbNmyBaNGjcLJkyexYMECg30dO3YM33//PTp16oR3330Xp0+flur7s2fP5ljf9+3bFx4eHnj27BkuXbqEJUuW5NnTrCi0Wi1EUYRarc7177DC/D5hck9lilarRWJiYokdz9nZGTIZ/yAyh+vXr+fYTa9Hjx5o06aN9Hn37t0IDQ1F165d9cp99tlniI6OxuTJkzFr1ixp+c6dO9GrVy+MGjUKV65cMbi+ly5dwtmzZ+Hm5gYg665z69atMWjQIDRs2BCRkZHw9PSETCaDv78/AgMD8eOPP2LhwoV5fp+kpCRs3LgRL7/8Mo4ePar3C16j0eDJkycFOi93795Fu3btsGbNGigUWb/imzVrhs8++wxt27bFqFGjMG/ePOkPrg8++ACLFi3Ctm3b8MYbbxToGAXl4uKCf//91+CZuQsXLqBNmzaYMmUK9u7dC0A/uX/ttdcKPMBOeHg4fvrpJ9SrVw+HDx+Gk5MTAGD69Olo06YNFi5ciAEDBqB9+/Z62+3cuRPr1q1DYGCgtGz48OFYtWoVtm7dikGDBgEAVq1ahfT0dGzduhX9+vWDVqtFcnIyHB0d8fjxY2NPDRWAroWpVq1aBus8PDxgb29v0Ao1YcIEvP3223j55ZfRvHlzzJ07FwqFAkOGDMn1OLNnz8aMGTMMlu/Zswe2trZGx3//GRDzMOv/4KV7L/7/FfBvStGm57ufHJ/n+vBrDwEANkIaLjUaAAB4ee9qpGqfP6P8TLRG1i0DwEYu4plGQG0nLZyUgIs14GglwkYOeNmLcFUBcuPztHJH97vNWAqFAh4eHnj69CkyMjL01j3L0KDt/CNF2n9JODyxDWysjL9p/PTpUwBZvwumTJlisL5Lly5o2bIl0tLSAAChoaHYvHmzXktzcnIyJk2ahOjoaEyYMAFfffWVtK5///4IDAzEqFGjEBUVJdX3ukTq4sWLOHTokPS8+8CBA9G1a1cMGTIE9erVw6FDh2BnZwcAaN++Pd566y3MnTsXc+bMyfN7JSUlYdOmTWjatCn27dtnUN8/ffpUusmYmpoKIOsmZPYpPbVaLe7evYvWrVtj6dKlUn1fr149TJ8+Ha+88grefPNNzJw5U6rvJ02ahF9//RXr1q1Dnz599M6xWq3OdcrQzMxMvXW685M9TrlcjnPnzqFyZf3xni5duoTu3bvj888/xx9//AEA6Ny5M+7du4ft27fD399f7/dz9purLx4jMjISP//8M+rUqYPQ0FCpvp84cSK6deuGn376CT169MArr7yid+527dqF5cuX6/2NM2bMGKxfvx5r165F//79AQC//vor0tPT8fvvv6Nnz5563+PRo0cmm1I1IyMDz549Q3h4ODIzM3Mso/suBcHknsqUxMREJB6ZAWcH0w+wkvgkDWgzDa6uriY/FhmKjo7O8Q9yZ2dnveS+X79+Bol9RkYG1q5diwoVKmDq1Kl663r27Ilu3bph7969iIyMNEgKv/jiCymxB7IGu/Hx8cGNGzfwzTffSBU9kPWHg1Kp1OtilxtBECCKIlQqlcENBblcXqjRgHUJjc7gwYPx2WefITMzU6+i161btGgRzpw5U+zJvbW1dY6D4TRo0AB+fn4IDQ2FWq2GUqk0+hi6btnTp0+XKnog68bCtGnT8OabbyIkJMTgOnbo0EEvsQeAt956C6tWrUJUVJSU3OvY2NgYHLtChQpGx035S0pKAgC965qdo6OjVEZnyJAhiI+Px5QpU3D//n20aNECoaGhcHR0zPU4kydPxsSJE6XPycnJqFatGrp3757ndgXRsUMKbic9A0RABKAVRWSqM3Hy9Gk0bdIUMrkcogiIECGKWesBSO/F/95n/ZtV5sGTdLjYKqERRWi1IjK1IrQikKnVQqMRceNhKjwcrPFMrUFqhgYa9VMpnhMN9Aclu5jmgwHX50AUBUAL2AjAzWTgarakX0cpF+BdwRY+Fe1Qo6IdGlR2RMPKjqjirCpS62xZo1arsXfvXnTr1q1Iv9vS0tJw8+ZN2NvbGwwap8jIOQGwNA6ODrC1Mj7VsLe3B5A1C1BOCbO7uzu6dOkinZ++ffuib9++emUyMjKwefNmVKhQAV9//bXeDbsBAwaga9eu2LdvH86dOyfVE7rr9sUXX8DHx0cq7+fnJ9X3U6dOhYeHh/SzP3ToULz33nu4fPlygX5viKIIOzs7ODs7G/z/cXFxkd7r4rW2ttbbr+7vhP/7v//T+zt05MiRmD59OjQaDebMmaP3fYcPH45ff/0V165dk/alO8dKpTLXuBUKhd463fmxt7fXW579byOd1q1bo1OnTtizZw9sbGykbXXXTKVS5XjcnI6xefNmAFn1fbVq1aSyjo6OmDZtGoYNG4ZNmzahR48eeueuQ4cOBg0G7777LtavX48LFy5IjwhYWVkBAFxdXeHg4IAnT57AwcEBgiAUuS7IS1paGmxsbNChQ4dcB4gszI0Fi03uCzr1TW68vb3zHYU3PDzc4A8+Kv2cHVRwdTL8Q5zKFn9/f+zevTvfcq1atTJYdvnyZaSlpcHPzy/Hljk/Pz/s3bsXp0+fNvgdkVN3cU9PT9y4ccNgnVwuR6VKlXDnzp1843R0dETPnj2xc+dONG/eHAMHDkSnTp3QsmXLQv2B6OLigurVqxvEB2S1gL74fXXrChKjMU6fPo3vv/8eERERuHfvnkHXsoSEhCINmqN7li+nZwL9/PykGF708ssvGyyrWrUqAOj1/gkICMCCBQvw+uuvIzAwEF26dEGzZs1MWtFT0YwfPx7jx48vcHlra2tYW1sbLFcqlUVKzgCgTmVn1KnsrLdMrVYjI+4Uujf0LPL+C0QUgX2+QHykwar6qhu42HCgwfJ4RT18l7kUN+JToBVFxD1MRXqmFrfin+FW/EOEZyvrqFKgXS03tPByRpPqzqjjnvW4AOS2Wc8QlFNF/fnRaDRZj2jIZAY3fO2slbj4tX9RQzS5onbL133v/Op7XbnWrVsbnKurV69K9b0ukc2uc+fO2LdvH86ePYuOHTsCgBRz8+bNDfanq+8bNWokXR9dDLr6Pr8enc7OzlJ936JFizzre92+sh9Lx8XFxWAOeN0N9Vq1ahl8X926u3fv6sWd2/5zikNXVrcs+/L86vtHjx5J9X324+d03JyOoavLO3fubLBNly5dAABnzpwx+G4vv/yyQXnd30lJSUnSOl1Py/79+yMgIAC+vr7SGAKmJJPJIAhCnr8zCvO7xCKT+8JMfZObjz76KMfu2QkJCQgODoaLi4v07AcRlV0vTosFPL8DmtM64HnCm9Od0pySOl0ruaOjo8E2CoWiwM9Kbdy4EbNmzcKaNWukZ7kdHR0xatQozJo1q0BdhPOLL7d1RX0+NCf//PMPOnfuDCDruWndHxuCIGDr1q04c+aM3rPOxkhOToZMJsuxxcDd3R2CIBT6Omo0z59lbd26NcLCwqTrsmLFCgBAy5YtMWfOHOkGAhU/XYv9i63zOsnJyXotXJQLQQC6HgI02bp1iiKwrz3w+HSOm7hlXsI8tAN0/60qFeA4cf+9/vPIqj7Sux6Dp7NdrpuQcQRBKFKLeFlV0vV9TutY35eN+n7t2rXSIH2lrb63uN8MxTX1zUcffZTj8nnz5gHI6j5T1ufGJCLk2Gqg+0X/4qjaOvfu3dMrV1JsbW0xc+ZMzJw5EzExMThw4AD+97//4ccff8SzZ8+wePHiEolDdxc7p2e/cku0cvLtt98iPT0dhw4dMhic8MiRIwV6XCE/jo6O0oBJlSrpZyAPHjyAKIpFvo7t27fHrl278OzZMxw+fBhbtmzB8uXL0atXL5w/f16v2yYVH92z9teuXTPoaXHv3j08ffo0x545lANBABQvJNk9Tuon/EC+SX9huGZcxI0/aqN34jJ0q+eBbg3cUd/zv0csynmrPpkG6/vCY32vT1ffp6Sk4MCBA9i/fz8WLVpUqup7ixsJrLBT3xTW8uXLAUAaUZmIyp+6detCpVIhKioqx0FKdKN0F2bE9uJWo0YNvPXWWzh48CDs7e2xffv2Eju27vn+27dvG6x7cUqbvERHR8PV1dWgok9NTZWm6slON6hQ9jvp+WnWrBmA59csu+K+jjY2NujUqRNmzpyJyZMn49mzZ0UeNItyp+siu2fPHoN1oaGhemXICLqEP/tLaZ+V9Ac8NeqV2T8Z531vIlHuDQDwsb6DP917Yvyj5qh/qAqwwR7YYI/Mnc0A9dOsmwlEJsT6Pm+s73NmY2ODdu3aYe7cuZgyZUqpqu8tLrkv7NQ3hfHPP//g0qVLaNGiRYGmlCKissnKygqDBw9GQkICZs+erbdON7p+zZo14evrW2IxxcfH5zjf7uPHj5Genl6iPY0cHR1Rp04dRERE4Pr169LyJ0+eFGoqGC8vLzx+/BgXLlyQlmk0Gnz88ceIjzcc6Vs3KNDNmzcLfIwRI0YAAGbMmKHXHS8pKUkacFFXxhiHDx+WRmLOTtcKxB5gptOlSxf4+PhgzZo1euMmJCUlYdasWbCyssLw4cOL7XjBwcGoX78+H9nLKekv4Eth7YCGXlXhHBANuDTN9RCKpDPARgdk/NkUEHOffouoqFjf5431/XNlpb63uG75xkx9U1C6Vvt33nkn37Kmmvc2L8U1N2p5lpmZCYhyqLWmv2+VKcqBzMwCX6+SmPsWyJoeJTPpQZGOYSqZSQ9yjbugCjsna27Hmz17Ng4ePIiZM2fin3/+QatWrRAbG4tNmzbB1tZW+n2R35yr2YnSSNeGseX3nW/evImXX34ZTZo0QaNGjVClShU8fPgQ27dvh1qtxqRJk/S+U17noKBz1ea1rwkTJmDMmDFo27YtBgwYAK1Wi927d6NFixY57iun8xMUFIQ9e/agXbt2GDhwIFQqFQ4ePIjbt2+jU6dOCAsL0yvfunVr2NjYYMGCBXj06JH0XJ3uecScjtGuXTt8+OGH+Pnnn9GwYUO88cYbEEURW7Zswa1btzB27Fi0a9euQOcup3XfffcdwsLC0L59e9SoUQPW1tY4fvw4Dh48CB8fH2l6vOJWkHlvgdJXXyxbtgwREREAgHPnzknLdDf227VrJ9XRCoUCy5Ytg7+/Pzp06KA3Bk9cXBzmzp1rMJhUUQQFBSEoKAjJycm5jtBPBSTIDLr9P0rJwJ9nbsM35g28pMz6O87qyVk8WFsDj9ofRl1PJ3bXJ5OYM2eOXn3funVrxMbGYuPGjbC1tcWKFStKdFrj27dvo1mzZmjSpAkaN24s1ffbtm2DWq3Gxx9/XGKxAFlT5L377rto27YtBg4cCK1Wi127dhXqRufYsWOl+j4gIAAqlQphYWF69X12bdu2ler7x48fS/X9izMYZdehQweMHTsWP/30Exo2bIj+/ftDFEVs3rwZt27dwrhx49ChQwejzgGQ9XNy4MABdOjQAd7e3hAEARcvXsTff/8NHx8fvP7660bvuyRZXHJvzNQ3BfH06VNs2LABtra2GDx4cL7lTTXvbUGUlm4flqs1UFLTTx8+XOhNTDn3LZA1PdeuT18t0jFMqUKFCkWaK1Q3J6tGo8lzP7q7r2lpaTmWs7a2xp49e/DDDz9g586dOHToEBwdHdGrVy98+umnqF+/fr7zuuronlXTzUWffU56XeKX33euUKECPv/8c4SHh2Pfvn149OgRKlSogEaNGmHMmDHo2rVrgea9zetYL85Vq/s+uu+XfV1gYCCePHmC//3vf1i+fDnc3d0xZMgQfPzxx9iyZUuB5r3t0KEDVq5cifnz5+P333+XpnpZuXIlvv/+e4PyCoUCISEhmDNnDpYtW4Znz54ByPqjIbdjAMA333yDunXr4tdff8XSpUsBZHXF/Pzzz/Hmm2/qlc3t3OV2LoYPHw5bW1ucOHEC4eHhEEURVatWxcSJE/HBBx/keb6LoiDz3mb/PqVFRESEwaN1kZGRiIx8PpJ79hvwfn5+iIiIwLRp07B+/Xpp9pw5c+YYTGVIFuaF5/xdnewwvIMLxHaXcehyHF462RGVZTdRCf+i0qGsUbzT7RvD+tXIrO2Y5FMxcXNzw9GjR/HNN99g27ZtOHToEJycnPDaa69h2rRpaNiwYYnG4+3tjenTp2P//v3Yt28fHj58iIoVK6J58+YYP368NJVbSRk9ejTUajUWLFiAZcuWwdPTEyNHjsTUqVOl6eHy07t3b2zatAmzZs3C6tWrYWtri86dO+OPP/7A119/bVDe1dUVmzZtwvTp07F06VKpvs8ruQeAhQsXolmzZli0aBGWLFkCIGt63a+//lqa0s5Y77//PpycnHD06FEcPHgQoiiievXqmDJlCiZMmFBqZskRRNGyHnjq3r079u7di2vXrqFmzZoG66tUqYKnT58WOsFfvnw53nnnHYwYMUIa/TAvObXcV6tWDQkJCSa7uMU1N2p59vjxY+DyArg4mr7rzOPkNKDuRwUerbm457719vYuNV2EygtRFPXmRaWyp6SucVpaGmJjY1GtWrU8/58nJyejYsWKSEpKKjV/eFg6Xcu9qc6pWq3Gzp070bNnz/Jd14taPNvRFDZPzxmsSnNuA9Wr/5TKBL+4rm9aWhpiYmJQo0YN1vUWRqvVIjk5GY6OjiXa4k8lpySvcUH+rxemXrK4lntTTX1TmC75gGnnvc1PSRyjrFIoFICggVJm+mf4FIIGUCgKfa1MOfctmZeu5Ty/+WKp9Cqpa1yQeW+Bws19S2RRBBls+pwBNKm4dj8Z1mGdUF24CgBQJR7BzG1ReLdzY1QqgZv1RERlhcX99Zl96psX6aa+yel5/LxcvHgRhw8fRt26dQ1GcSQiIiIiM/iv636tKp6oPuQyLrZ5/rffkMevo/Pc/Qg+cB1P0krX2BJEROZiccm9Kaa+4fR3RERElBeOlm9mgoD6NV6C6NwUQNY0ettrjEbw3tN4dd4u/H32BqfOIyLKh8Ul94Wd+ubu3bu4fPlyrt341Wo1Vq1aBaVSWaxT5hAREVHZERQUhIsXLyIqKsrcoZRfggDh1ROAQ1YPTR/rO7jYcCAiavRDl/Mv4fqaZriX+MzMQRIRWS6LS+51U99otVp06NAB7777LiZNmoQmTZrg6tWrmDVrlt7UN5MnT0a9evXwxx9/5Li/7du3Iz4+Hn369EGlSpVK6FsQERERUaEJMqD3ZcClqcGqmsIZ9FkQinXH/oWFjQdNRGQRLG5APaB4p74p7EB6RERERGRGggzocRLQ/DfVY2YKsMUdALDeKwhdtvwPf527i+8HNIank40ZAyUisiwWmdwDQKtWrbBr1658y4WEhOQ5td3OnTuLMSoiIiIiMrn/BtsDAMhts1ryH5+Gj/Ud/FXrI/S89iN6LDiEj7vXxtA2Xpx+lIgIFtgtn4iIiIhIIghAj+fP4te3uYHmla2Q9EyNL7ddwNi1p5CSnmnmIImIzI/JPRERERFZNl1X/f9seLsxvupVD3KZgD/P3kWfnyMQHf/UjAESEZkfk3siIiIq9zgVXimQreu9Ypsn3kobjlVvtUQlB2vciE9BwP8O4/ztnGdPIiIqD5jcExERUbnHqfBKAbkt4Ob7/HN8JF7xssGOse1Q18MBD1MyMHjpEZz897H5YiQiMiMm90RERERk+QQB6HoIeOP+82W7m8PdJhMb32uDl71c8CQtEyOWH8Ph6Ifmi5OIyEwsdrR8IjKOVqtFYmKiucPIlbOzM2Qy3lckIiIjCAJg7SaNno8n14CNDnBw88Vvow7grZXHcTTmEYYtP4ofBzVDr8ae5o6YiKjEMLknKmMSExOReGQGnB1U5g7FQOKTNKDNNLi6upo7lDJh+vTpmDFjBg4cOIBOnTqZOxyL1alTJxw8eBCiKJo7FCIqDrrR83e/nJXgA0B8JOzk6Vj5ViuMX3cKoRfuI2jNScQ9qoP3O77EqfKoVGN9XzCs79ktn6hMcnZQwdXJxuJexXHDITY2FoIg5Pmy5J4LVPymT58OQRAQFhZm7lCIqKToRs/P3kV/X3uoFDIED2mOEW29AADf776C4APXzRQkFQXre3oR6/v8seWeiEqll156CUOHDs1xnUpleb0WyHx+++03pKammjsMIipuL3bRf3wayEyBQmmP6X0bwNPZBt/tuoy5e67CzlqBUb41zBwwGYP1PRUU63sm90RUStWsWRPTp083dxhUClSvXt3cIRCRqegG2dvokPV5d3Og92UIggzvdfDBkzQ1gg9EY8aOi0jN0CDIr6Z546VCY31PBcX6nt3yiaiMCgkJgSAICAkJwY4dO+Dr6wsHBwd4e3tLZRISEvDRRx+hRo0asLa2RqVKlRAQEIDz588b7G/kyJEQBAE3btzA3LlzUbt2bdjY2KB+/fpYt24dACAjIwPffPMNfHx8oFKp0LhxY+zatatQcaekpGDatGmoW7cuVCoVXF1d0atXL0RGRua53fLly9GoUSOoVCpUqVIFEyZMwJMnTwzKHThwAK+++ioqV64Ma2truLu7o3379liyZIlB2ZiYGLzzzjuoXr06rK2t4enpiZEjRyIuLs6grCAI6NSpE27fvo3hw4fDw8MDMpkMYWFhqFmzJhwcHHK9m963b18IgoCrV68CAJKSkjBnzhx07NgRlStXhpWVFSpXrozhw4cjOjpab9tOnTphxowZAAA/Pz+pq2b269ypU6ccn7fNzMzE/Pnz0aRJE9jY2MDJyQl+fn7YsWOHQdnsP0/79+9Hu3btYGtriwoVKmDEiBF4+NBwZO7CnGsyP85zX4op7LJa74GsAfZ2vwyIIgRBwMfd6+C9jj4AgB9Cr2BRWHTu+6FSyVz1/dSpU+Ht7c36vgzW93K5HGvWrMGePXvwyiuvlKr6ni33RFSmbdy4EXv27EHv3r3xwQcfIDk5GQAQHx+Ptm3bIjo6Gp06dcKgQYMQExODTZs24a+//kJoaCjatWtnsL+JEyfi6NGj6NOnD+RyOdatW4chQ4bAxcUFCxcuxIULF9CzZ0+kp6djzZo16NevHy5duoSXXnop31jT0tLQuXNnHDt2DM2bN8dHH32E+/fvY/369QgNDcXatWsxcOBAg+3mz5+Pv//+G4GBgejVqxf27duHBQsW4MiRIwgPD4dSqQQA/PXXX+jTpw+cnZ3Rr18/eHp6Ij4+HmfOnMGqVavw7rvvSvs8evQo/P39kZKSgt69e6NWrVqIjY3F77//jl27duHw4cPw8fHRi+Phw4do27YtXF1dMWjQIKSlpcHR0RFDhw7FjBkzsHXrVgwZMkRvm4SEBOzevRutW7dG7dq1AQCXLl3CV199BT8/P7z++uuws7PD5cuXsWbNGvz11184efIkvLyynqcdOXIkAODgwYMYMWKEVMk7Ozvnea5FUcSAAQOwbds21K5dG0FBQUhJScH69evRt29fzJ8/HxMmTDDYbseOHdi5cyd69+6NV155BeHh4fjtt98QHR2NiIgIqVxhzjVZhqCgIAQFBSE5ORlOTk7mDocKQzfA3p91s5L7x6cBTSqgsIMgCJj8aj2oFHL8+Pc1/BB6GVVcbNC3SWVzR208Ucz6fpZObpt1bUpISdX3Tk5OWLBgAa5du4ZevXohLS2N9X0ZrO937dqFPXv2oE+fPqWqvmdyT0Sl0vXr13PsptejRw+0adNG+rx7926Ehoaia9eueuU+++wzREdHY/LkyZg1a5a0fOfOnejVqxdGjRqFK1euGEzbd+nSJZw9exZubm4AgFGjRqF169YYNGgQGjZsiMjISHh6ekImk8Hf3x+BgYH48ccfsXDhwny/0/fff49jx47hzTffxKpVq6S7z+PGjUObNm3w7rvvokePHnBwcNDbLjQ0FFFRUWjcuDGArIps6NChWLNmDRYuXIhJkyYBAH799VeIoogDBw6gSZMmevvIfidarVZj0KBB0Gq1OHbsGJo1ayati4iIQKdOnTB+/HiDO97nz5/HqFGjsHTpUsjlcmm5o6MjZsyYgdWrVxtU9uvWrYNarcawYcOkZfXq1cPdu3cNZlU4cOAAunbtipkzZ2Lp0qUAsir72NhYHDx4ECNHjizwKMKrVq3Ctm3b0LFjR+zZswdWVlYAgMmTJ+Pll1/Gp59+in79+hn8QfPnn39ix44d6N69O2QyGTQaDbp27YqwsDAcOXJE+tkr6LkmomKiG2BP1z3/hdGyJ3SrjZuPU7Hl5G1MXH8aLrZKtK/lZoZAi4EmFdhgb+4o8hfwNKtXRRFZWn0/ZMgQ1K1bF2fOnJHqY9b3WcpSfb97927s378f7du3B4BSU9+zWz4RlUrR0dGYMWOGwevIkSN65fr162dQ0WdkZGDt2rWoUKECpk6dqreuZ8+e6NatG65fv55j17gvvvhCqugBoFWrVvDx8UFiYiK++eYb2Nk9/0Omf//+UCqVOHPmTIG+08qVK6FUKvHdd9/pdStr1qwZRowYgcTERGzdutVgu+HDh0sVPZDVZW7WrFmQy+UICQkxKG9jY2OwrEKFCtL7P//8E7Gxsfjkk0/0KnoAaNeuHfr164edO3dKrSI6VlZW+P777/UqeiDrecm2bdti7969ePDggd66VatWQalUIjAwUFrm5OSU43SJfn5+aNCgAfbt22ewrrBWrlwJIOsPLF1FD2Q9rzdhwgRkZmbi999/N9hu8ODBen9MyuVyjBgxAgAQFRVlUD6/c01ExSh7K/Hu5oCo1Vs9p39j9GrkiUytiPdWncDpm4klGx8ZxRLr+6lTp7K+L+P1/YABA+Dr6yt9Li31PVvuiahU8vf3x+7du/Mt16pVK4Nlly9fRlpaGvz8/GBra2uw3s/PD3v37sXp06elO7Y6TZs2NSjv6emJGzduGKyTy+WoVKkS7ty5k2+cycnJuHHjBurVq4eqVavmGNPSpUtx+vRpvbveAAxiBAAvLy9Uq1YNFy5cQEZGBqysrDBo0CBs2bIFbdq0wZAhQ9ClSxe0b98eFStW1NtW9wfTlStXcmwtuXfvHrRaLa5evYoWLVpIy2vUqGGwL51hw4bh8OHDWLt2LcaPHw8AuHbtGo4dO4Y+ffoYbBcWFoYFCxbg6NGjSEhIQGZmprQue+VsrFOnTsHW1jbHnw8/Pz8AwOnTpw3WvfzyywbLdNcr+5RMBT3XRFSM5LbPR85/ci2rm37vy1mt+gCUchnmBzbBw5R0HLnxCEOXHcWqt1uhWXUXs4ZdaHLbrFZxSyc3rF+NYYn1faNGjfSWs75/rqzU9zld/9JQ3zO5J6Iyzd3d3WCZ7g50TuuArMo7e7nsHB0dDZYpFApp3YvbKBQKqNXqfOMsSky5bePu7o7Y2Fg8efIEFSpUwMCBA7F161bMnz8f//vf/xAcHAxBEODn54d58+ZJFdmjR48AIMc72dmlpKQUKA4ACAwMxEcffYTVq1dLlf2qVasAwOCPl40bNyIwMBD29vbw9/eHt7c3bG1tpQGTchrgp7CSk5NRrVq1HNflda5f7CIJPL/+Go1GWlbQc01ExejFZ+91g+v1OCm16lsr5Fg6vAVGrYjC8bjHGBUShbWj26Cep+HvdoslCMXS3b2sKen6Pqd1rO9Z35u7vmdyT0RlWk6jpuoq5fv37+e4zb179/TKlYSixJTbNvfv34cgCHoVVL9+/dCvXz88efIEkZGR2LJlC5YvX44ePXrg8uXLcHZ2lo6xY8cO9O7du8DfIadzrePq6oqePXti69atuHLlCurUqYPVq1fDyckJffr00Ss7ffp0qFQqnDhxArVq1dJbpxupuKgcHR0NugzqFNf1L8i5JqJiJsiyWuuzD66XHp+VDP83wJuDSolfR7XEkKVHcP52Mt5bdQIb3msLDyfOmV6asb5nfZ+T8lbf85l7Iip3dNPOREVF5ThdS1hYGICcu2SZiqOjI3x8fHD9+nXcvn27UDEdOnTIYFlcXBxu3ryJBg0a5NitzcHBAT169MCSJUswcuRI3L9/H0ePHgUAtG7dGgBw+PDhInwjQ7o79qtXr0ZkZCRiYmIwYMAAqFT6f1BHR0ejXr16BhX93bt3cePGDYP96p75y34nPT/NmjVDamoqjh07ZrCuuK9/XueaiExAN7iezhb3rAHodjcH1E8BUYSjSonf3mqNKs42+PdRKoYsPYLHKRnmi5lMgvU96/vyVt8zuSeicsfKygqDBw9GQkICZs+erbdON9puzZo19QZSKQkjRoyAWq3G5MmTIWYb6fns2bMICQmBk5MTXnvtNYPtfvvtN5w9e1b6LIoipkyZAo1GI00dAwDh4eE5Voi6O9q6Srdfv36oXr065s+fj/DwcIPyarVabxqYgurVqxdcXFzw+++/47fffgNg2EUPyHp+8Pr163otFGlpaXj//fdz7PKoG4zn5s2bBY5FNyjO5MmT9fZ58+ZNzJ8/HwqFAm+++WaB9/eigp5rIjIRhR3g9sLv8Mens0bT39ceEEW42llh1dut4Omkwo2EFAxdfhRJqfl3q6bSg/W9Ptb3Zb++Z7d8ojIo8UmauUPIUeKTNDibO4j/zJkzBwcPHsTMmTPxzz//oHXr1oiNjcXGjRtha2uLFStWGEyLY2qffvop/vrrL6xatQqXLl1Cly5d8ODBA6xfvx6ZmZlYunRpjs+A+fv7o23bthg0aBDc3Nzw999/4/jx42jTpg3Gjh0rlRs3bhzu3LmDdu3awdvbG4IgICIiAseOHUObNm2keX6tra2xadMmvPrqq+jYsSM6d+6MRo0aQRAExMXF4dChQ6hQoQIuX75cqO9nbW2NgIAALF68GCtWrICXlxc6dOhgUG7s2LEYO3YsmjVrhgEDBiAzMxN79+6FKIpo0qSJwWjEfn5+EAQBU6ZMwYULF+Dk5ARnZ2d8+OGHucYybNgwbNmyBdu2bUPjxo3Ru3dvad7bR48eYd68eQbT4hRGQc81EZmIIABdD2VNGyeKWQn949NZ6+Ijpa76PhXtEDKqFQIWH8aFO8kYseIYVr/TGvbW/BO5rGB9z/q+PNX3/M1FVMY4OzsDbaaZO4wcOQMW85yxm5sbjh49im+++Qbbtm3DoUOHpDvl06ZNQ8OGDUs8JpVKhf3792POnDlYv349/u///g+2trbo2LEjpkyZkmsFMXHiRPTt2xcLFizA9evX4erqivHjx+Obb77R66I3efJkbNmyBSdOnEBoaCiUSiW8vb0xZ84cfPDBB3pT2rRs2RJnzpzBDz/8gJ07dyIyMhLW1taoUqUKXnvtNQwePNio7zhs2DAsXrwYarUaQ4YMyfG5vaCgICiVSvz0009YunQpnJ2d0atXL8yePRsDBw40KF+/fn2sWLEC8+bNw08//YT09HR4eXnlWdkLgoBNmzbhxx9/xMqVK/HTTz/BysoKzZs3l85nURTmXJNlCA4ORnBwcKG6e5KFyz7wXI+TWQn9lv8GAtP969IUdboewpp3WmHIsmM4fTMRY9ecxK8jW+b5XDGVHqzvWd+Xp/peELP3BaFcJScnw8nJCUlJSSYbdEOtVmPnzp3o2bMnlEqlSY5R1j169Ai4MAeuToZzTRb7sZKeAQ0+y3F+zpwU1/VNS0tDTEwMatSowa69Fkar1SI5ORmOjo4l3gpAJaOkrnFB/5+XRN1U3pj6nLKuNyNdC3684ZzmcPPFqdrbMWjpUaRnavH9gMYIaJHzCNt5YV1f9rGuL/tK8hoX5P96Yeol/kQSERERUdmn66of8BQY+ARwafp8XXwkmrlnYnyXmgCAmX9exK3HhgOwERFZMib3RERERFQ+6LrqK+2zuuq/kW1qsS3uGKMehQaVHZCclokPfj+J9Ew+pkFEpQeTeyIiIiIqfwQBsHbTG1VflhCJRYF14WSjxNlbSZi27YIZAyQiKhwm90RERERUPum66mdrwa9ewQ7zBjYBAKyLuond5++aKzoiokJhck9ERERE5Vf2UfX/07W+O97rkDU91qQNZ3Dt/hNzREZEVChM7omIiIiIXjCpex20quGKlAwN3l11Ag+fpps7JCKiPDG5JyqlOIslUdnF/99E5melkOF/Q1+Gh6MKMQkpmLDhDDTakv2/yd8FRGVbcf8fZ3JPVMrI5XIAWXPpElHZpPv/rfv/TkQlKDNFerlaq7F8xMtQygWEX43Hl9vOl0jCzbqeqHwo7vqeyT1RKaNUKmFtbY2kpCTe0Scqg0RRRFJSEqytraFUKs0dDlH5s8Ud2GAvvRpc7I3ZrzcCAKw5+i9+jYw1eQis64nKPlPU94pi2QsRlaiKFSvi9u3buHXrFpycnKBUKiEIgrnDKve0Wi0yMjKQlpYGmYz3TssiU15jURShVquRlJSEp0+fokqVKsW6fyLKg9w2a0q8+EjDdfGRGNDeGveTa+OHPVcxe+clNK3mhJe9XE0aEut6y8S6vuwz9TU2ZX3P5J6oFHJ0dAQAJCQk4Pbt22aOhnREUcSzZ89gY2PDP8DKqJK4xtbW1qhSpYr0/5xKRnBwMIKDg6HRaMwdCpmDbko8TerzZZkpWa34ALDFHR9U9MXp+v+HvRcf4IPfT2LvxI5wVJmudw3resvEur7sK6lrbIr6nsk9USnl6OgIR0dHqNVq/jFqIdRqNcLDw9GhQwd2py6jTH2N5XI5f3bMJCgoCEFBQUhOToaTk5O5wyFzeHFKvBda84WESMzvWxkDHsTjSkIavtlxET8MbGLSkFjXWx7W9WVfSVxjU9X3TO6JSjmlUsnKxULI5XJkZmZCpVLxmpRRvMZE5YiuNT89XmrBd9hZFaGVgSin+hh4Yg68K9ohyK+myUNhXW85WA+UfaX5GvNBESIiIiKinAgCYO2W1YKfTUu7i6ggT8LPe84g4lJsVhd+DnxHRGbGlnsiIiIiotxkfx4/23P4JxoMzVp/6r+Xmy/Qcb/ZwiQiYss9EREREVFedM/j59CKL4mPBNLjIRfT2IpPRGbB5J6IiIiIqCB0rfgBT4GAp3jU6xH63NkkrVbuqIreqYMgP+DHBJ+IShy75VOpoNFoEBMTk2+5xMREuDx+DGiemTymx8lpeHzjBh49eoQaNWpALpeb/JhERERkZtlG1Xd1ssM3AZ1xPLQ+WthdlIrIHv6T1Y0/++j7REQmxuSeSoWYmBj4Tl0PhVOlPMtp01LwQbU42NpamTym1NQM/HIzAtr0FETODETNmqYfLZeIiIgsS9PqLpjhvh7DDl+Bh50GB3wCzR0SEZVTTO6p1FA4VYLSpXKeZTTPnkCmsofcxtrk8ci06VA4e0Cb9sTkxyIiIiLL9UmPuoi4/hC34hPMHQoRlWN85p6IiIiIqAhsrRT45c3msLPK9ogen7knohLG5J6IiIiIqIhquTvg3Q7e0ufM0HZM8ImoRDG5JyIiIiIqBoPb1MHlNB8AgCL5DMTMFDNHRETlCZN7IiIiIqJioLJSIFz1rfR588lbZoyGiMobJvdERERERMWksq0gvf9h9xU8SVObMRoiKk+Y3BMREVG5FxwcjPr166Nly5bmDoXKkMyMp/jhr5N89p6ISgSTeyIiIir3goKCcPHiRURFRZk7FCpDTjQYiq/T2+DJn22Z4BORyTG5JyIiIiIqJhpYQ1vhFb1lDk+OAppUM0VEROUFk3siIiIiouIiCND4HQACniK24w1pceT1B2YMiojKAyb3RERERETFSRAAhR283StJi9yOdMdTDq5HRCbE5J6IiIiIyBTkttA4NQEA1La6jskbj0Dks/dEZCJM7omIiIiITEEQIO8eIX385/K/WHf4MpCZwgH2iKjYKcwdABERERFRmSU8n/f+RIOhQCyyXm6+QNdDeuuJiIqCLfdERERERKYit81K5F8UH8kR9ImoWDG5JyIiIiIyFUHIaqEPeIqzr9zCyxdWP1+XmcIu+kRUbCw2uY+KikLPnj3h7OwMOzs7tGnTBhs2bCj0fh48eIAJEyagVq1aUKlUqFChAtq2bYtFixaZIGoiIiIiohf8N3p+Y+8q6N+69vPlW9yBDfbAvvZM8ImoyCwyuT9w4AB8fX0RERGBgIAAjBkzBvfu3UNgYCDmzZtX4P2cPn0aDRs2xM8//4wGDRpgwoQJGDJkCOzs7LBjxw4TfgMiIiIiIkOTXm2GcxkN9Reyiz4RFQOLG1AvMzMTo0ePhkwmQ3h4OJo2bQoA+Oqrr9CqVStMmTIFAwYMgJeXV577SU5ORr9+/QAAJ06cQOPGjQ2OQ0RERERUkqyVCohdwtHofwdghWdZg+wRERUDi2u5379/P6KjozFkyBApsQcAJycnTJkyBRkZGVi5cmW++/nll1/w77//4rvvvjNI7AFAobC4+xpEREREVA40ruaCwb71kKpVmTsUIipDLC7DDQsLAwB0797dYJ2/vz8A4ODBg/nuZ/369RAEAf3798eVK1ewZ88ePHv2DHXr1kWPHj1gZWVVrHETERERERXUpO61ceRKnPRZqxUtr9WNiEoVi0vur127BgCoVauWwToPDw/Y29tLZXKTkZGBc+fOwc3NDT/99BOmTZsGrVYrrffx8cHWrVvRqFGjXPeRnp6O9PR06XNycjIAQK1WQ61WF+o7FZRuv6baf2mm0WigUghQyPMebEYrB2QyJQTB9D/aMpkWKjmgVQjQaDT5Xjde37KP17jss7RrbClxEFHhWSvkmBvQFPivzeq3w7EY2bFhntsQEeXF4pL7pKQkAFnd8HPi6OgolcnNo0ePoNFo8PDhQ3z99df4/vvvMWzYMKjVaixevBgzZ85Enz59cPnyZahUOXeHmj17NmbMmGGwfM+ePbC1tS3ktyqcvXv3mnT/pdX87m4ANPmUsgEwuASiyTL3v2NevnwZly9fLtA2vL5lH69x2Wcp1zg1lQNwEZVmtd0dpPcL9l2Df9OX4OlkY8aIiKg0s7jkvjjoWuk1Gg0+/PBDTJo0SVr39ddf48qVK9iwYQM2bdqEoUNzHsRk8uTJmDhxovQ5OTkZ1apVQ/fu3eHo6GiSuNVqNfbu3Ytu3bpBqVSa5Bil1Y0bN9Bz4SEonD3yLKd99hRvVdwKW1vTP3aRmpqBXxNegzb9KXaOaw8fH588y/P6ln28xmWfpV1jXa8yIir90jO1+HTTWax6u7W5QyGiUsrikntdi31urfPJyclwcXEp0D4AoG/fvgbr+/btiw0bNuD48eO5JvfW1tawtrY2WK5UKk3+B11JHKO0kcvlSMsUodQIeZbTaACtVg1RNP1Ta1qtGmkaQJspQi6XF/ia8fqWfbzGZZ+lXGNLiIGIis+hawnYcvIW3mhe1dyhEFEpZHHjduietc/pufp79+7h6dOnOT6Pn52dnR2qVKkCAHB2djZYr1v27NmzogVLRERERFQMxvi6w0ZIQ/DeM8hMfwJkphT8JeY9JhERlQ8W13LfsWNHzJ49G3v27MGgQYP01oWGhkpl8tO5c2esWrUKFy9eRPPmzfXWXbx4EQDg7e1dPEETERERERXB+OT2GK8b63lzITd28wW6HgKEvHs4ElHZZnEt9126dIGPjw/WrFmD06dPS8uTkpIwa9YsWFlZYfjw4dLyu3fv4vLlywbd+MeMGQMA+O6775CYmCgtv3fvHn788UfIZDL079/fpN+FiIiIiChXctusxLyo4iMBDQfYJCrvLK7lXqFQYNmyZfD390eHDh0waNAgODg4YPPmzYiLi8PcuXP1WtwnT56MlStXYsWKFRg5cqS0/JVXXsHEiRMxf/58NG7cGH369IFarca2bdvw4MEDzJo1C7Vr1y75L0hEREQWJzg4GMHBwdBo8puVhagYCUJWi/t/iXl6pgavB0ciJiEVozvUwMRudfLePjMF2OJeAoESUWlgcS33AODn54eIiAj4+vpi/fr1WLRoEdzd3bFu3Tq9ke/zM2/ePKxYsQLu7u4ICQnBmjVrULt2bWzZsgWTJ0824TcgIiKi0iQoKAgXL15EVFSUuUOh8kYQAIUdoLCDtcoRH3ZvimeiCssOP0BihlJal+tLh8/eE5V7Ftdyr9OqVSvs2rUr33IhISEICQnJdf3IkSP1WvSJiIiIiCzVqw09UM/TEZfuJmPenqv45rWGBdtwizufvScq5yyy5Z6IiIiIqDwSBAHju9QEAKw+Gofzt3OeHhqA4TP7fPaeqFxjck9EREREZEH8G3igfa2KEEVg3LpTUGu0ORfUPbP/xv2SDZCILBKTeyIiIiIiCyIIAma93ggqpQw34lPw2+G4vArrP3vP5+6Jyi0m90REREREFqaaqy0mdM2a2WlJeDRS0jMLtuG+9kzwicopJvdERERERBZoxCvecHOwxv3kdEzbfiH3gnJbwKVp1vvHp/ncPVE5xeSeiIiIiMgCqZRyTO1VDwCw6cQtnPr3cc4Fdc/eE1G5xuSeiIiIiMhC9W1SGe1rVQQAfPPnxdwLcvo7onKPyT0RERERkYUSBAFf98ua6/7kv4mIvJ6Q/0aZKc9ffP6eqNxgck9EREREZMFqVLRD/+ZVAQBrjv2b/wZb3IEN9lkvDrBHVG4wuSciIiIisnDD2noBAP46exfnbiUZFpDbAm6+hsvjIznAHlE5weSeiIiIiMjCNa3mjO713QEA3+2+ZFhAN6hewNOs1xv3SzhCIjI3JvdERERERKXA1F71IROAyOsPcTKnkfMFAVDYPX8RUbnC5J6IiIiIqBSoXsEWrzWtAgCYvv0CtNoCPkvPAfaIygUm90REREREpcTH/nVgayXH2VtJ2H7mTsE24gB7ROUCk3siIiIiolKisrMNhrbJGlxv4f5rubfec4A9onKHyT0RERERUSnyXgcfqJQy3IhPwa7z93IuxAH2iModJvdERERERKVIBXtrjPKtAQD4PvQy0tSanAtygD2icoXJPRERERFRKfNeBx9UsLNC3MNU/HHqtrnDISILwOSeiIiIiKiUcba1wqBW1QAAa4/9W7iNs4+en9OLA+4RlUoKcwdARERERESFN6hldQQfiMbZW0nYfOIW+r9ctWAbbnHPe72bb9bz+oJQ9CCJqMSw5Z6IiIiIqBSq5mqLka94AwC+2nYeao0298K5jZ6fE46oT1QqseWeiIiIiKiU+sS/DjafuIUn6ZlYsO8qPvGvm3NB3ej5eSXtmSn5t+oTkcViyz0RERERUSllZ63AmE4vAQB++ycOyWnq3Au/OHp+Ti8iKrWY3BMRERERlWKj2/vAw1GFJ+mZCImMNXc4RGQmTO6JiIiIiEoxK4UME7rVAgCE/BOL9Mxc5r0nojKNyT0RERGVCVu2bEG3bt3g6uoKQRAQGxtr7pCISkyfJpVhb63Ao5QMLAqLNnc4RGQGTO6JiIioTEhJSUGHDh3w9ddfmzsUohJna6XAxG61AQDLD8Xg4dN0M0dERCWNo+UTERFRmTBs2DAAwPnz580cCZF5DG3jhWWHbuBOUhqmbb+An4c0N3dIRFSC2HJPRERERlu9ejXee+89tGjRAtbW1hAEASEhIXluExUVhZ49e8LZ2Rl2dnZo06YNNmzYUDIBE5VhVgoZZr3RCADw59m7eJySYeaIiKgkMbknIiIio02dOhVLlixBXFwcPD098y1/4MAB+Pr6IiIiAgEBARgzZgzu3buHwMBAzJs3rwQiJirbOtZ2Q3VXWwDArJ2XzBwNEZUkJvdERERktGXLliE2Nhbx8fEYM2ZMnmUzMzMxevRoyGQyhIeHY8mSJZg3bx7OnDmD2rVrY8qUKYiLi9Pb5vPPP4cgCHm+iOg5QRAQ2LIaAGDjiVu4dDfZzBERUUlhck9ERERG69q1K7y8vApUdv/+/YiOjsaQIUPQtGlTabmTkxOmTJmCjIwMrFy5Um+bSZMm4dKlS3m+iEjfB51eQm13ewDAwr+vGbeTzBTjX6JYjN+GiAqKA+oRERFRiQgLCwMAdO/e3WCdv78/AODgwYN6y93c3ODm5mby2IjKEkEQ8PmrdfFWyHHsOn8P95LS4OGkKtxOtrgbH4CbL9D1EMCeNUQlisk9ERERlYhr17JaEGvVqmWwzsPDA/b29lIZYzx69Aj//vsvoqOz5vi+ePEiEhMTUb16dbi6uua4TXp6OtLTn08Zlpyc1YVZrVZDrVYbHUtudPs0xb7J/Czp+rb1dkZlJxXuJKXhs81nsGxYAUbOF5WQV3gFsof/FO3g8ZFQpyUBCrui7ccCWdI1JtOwtGtcmDiY3FOJ0Gq1SExMNHr7xMREaNNSoHn2JO/jpD2FCHYFIyKyRElJSQCyuuHnxNHRUSpjjO3bt2PUqFHS5169egEAVqxYgZEjR+a4zezZszFjxgyD5Xv27IGtra3RseRn7969Jts3mZ+lXN83qgj4OUmOg1cTsGj9Tng5FGAj8RPIbdPzL5cDOdLwaupIAEBoaCg0QiF7C5QilnKNyXQs5RqnpqYWuCyTeyoRiYmJSDwyA84Oxv2Sd3n8GB9Ui4NMZZ9nuUePU4BMK6OOQUREpdvIkSNzTeJzM3nyZEycOFH6nJycjGrVqqF79+5wdHQs5gizWmD27t2Lbt26QalUFvv+ybws8fqeXnkCEdcfYl+iKzYFtDbtIJSZKcAfWW/9/f3LbMu9pV1jKl6Wdo11PcoKgsk9lRhnBxVcnWyM21jzDLa2VpDbWOdZLDWV87kSEVkqXYt9bq3zycnJcHFxKcmQYG1tDWtrw7pFqVSa9I86U++fzMuSru/knvXQa2EEzt5Kxq6L8ejXtIrpDiY8/85KpRJQWMY5MAVLusZkGpZyjQsTA0fLJyIiohKhe9Y+p+fq7927h6dPn+b4PD4RGa9BZScMa5M1o4XRI+cTUanA5J6IiIhKRMeOHQFkPc/+otDQUL0yRFR83m5XAwAQHZ/CBJ+oDGNyT0RERCWiS5cu8PHxwZo1a3D69GlpeVJSEmbNmgUrKysMHz7cLLEFBwejfv36aNmypVmOT2RK3hXt0KOBBwBg/t6rOB77yPQHzT7vve4lctBjIlPiM/dERERktGXLliEiIgIAcO7cOWmZbk77du3a4Z133gEAKBQKLFu2DP7+/ujQoQMGDRoEBwcHbN68GXFxcZg7dy68vb3N8TUQFBSEoKAgJCcn5zqaP1FptnBwM/jNDcPtxGcY8L/DODu9OxxVJnyeeIu74TI3X6DrIcCUg/oRlWNM7omIiMhoERERWLlypd6yyMhIREZGSp91yT0A+Pn5ISIiAtOmTcP69euhVqvRqFEjzJkzB4GBgSUWN1F5Y6WQYfnIFuix4BAAYOG+a5jau37xHkRum5XAx0fmvD4+EtCklslR9IksAZN7IiIiMlpISAhCQkIKtU2rVq2wa9cu0wRERLmq6+GI795ohM+3nMOvkTEY17VW8bbeC0JWy7zmhXm5M1NybsknomLFZ+6JiIiIiMqJgS2qwdNJBa0IrIiILf4DCEJWy/yLLyIyOSb3RERERETlhFwmSKPnL9x/DYmpGWaOiIiKC5N7IiIiIqJyZJRvDdhZyaHRilh66Ia5wyGiYsLknoiIiMo9ToVH5YlcJmB811oAgOAD0bj+4KmZIyKi4sDknoiIiMq9oKAgXLx4EVFRUeYOhahEjHjFW3o/f+8V8wVCRMWGyT0RERERUTljrZBjfkATAMDOc/eQnKY2c0REVFRM7omIiIiIyqHejSvDSp6VDny26WzJHDQzBRDFkjkWUTnD5J6IiIiIqByyUsjwbgcfAMCu8/dKZuT8Le7AvvZM8IlMgMk9EREREVE59dF/A+sBwLGYR6Y5iNwWcPN9/jk+EtCkmuZYROUYk3siIiIionJKIZehT5PKAIBfI2NMcxBBALoeAt64b5r9ExEAJvdEREREnAqPyrU3W1cHABy58ch00+IJAqCwM82+iQgAk3siIiIiToVH5Vobnwqo4mwDAJjyxzmIfB6eqFRick9EREREVM4FtqwGIOu5+x1n75o5GiIyBpN7IiIiIqJy7oNOL8FGKQcA/PT3NTNHQ0TGYHJPRERERFTOKeQy7BibNaL9tQdPEXEtwcwREVFhWWxyHxUVhZ49e8LZ2Rl2dnZo06YNNmzYUODtQ0JCIAhCrq+wsDDTBU9EREREVMrUrOQgjZz/f/uumjkaIioshbkDyMmBAwfg7+8PlUqFQYMGwcHBAZs3b0ZgYCBu3ryJSZMmFXhf/fr1Q9OmTQ2We3t7F1/ARERERERlwISutbDjzB2ciHuMLSdv4Y3mVc0dEhEVkMUl95mZmRg9ejRkMhnCw8OlxPyrr75Cq1atMGXKFAwYMABeXl4F2t9rr72GkSNHmi5gIiIiIqIywsfNHo2qOOHc7SR8ufU8ejeuDCuFxXb2JaJsLO5/6v79+xEdHY0hQ4botbg7OTlhypQpyMjIwMqVK80XIBEREZU5nOee6LnlI1sAAFIyNNh94Z5pDpKZYtyL0/QR5criWu51z8J3797dYJ2/vz8A4ODBgwXe36lTp/Dw4UNkZmbC29sbXbt2RYUKFYolViIiIiobgoKCEBQUhOTkZDg5OZk7HCKzquSgQmCLalh//Ca2nrqNvv89h1+strgbt52bL9D1ECAIxRsPURlgccn9tWtZU2/UqlXLYJ2Hhwfs7e2lMgWxcOFCvc82NjaYNm0aPvvsszy3S09PR3p6uvQ5OTkZAKBWq6FWqwt8/MLQ7ddU+zenzMxMQJRDrTWus0imKIcgU0IQ8v6RlcmVkMmEfMsVB5lMC5Uc0CoEaDSafK9bWb6+lIXXuOyztGtsKXEQUdnTr1llrD9+E/svP8DT9EzYWxfD31Zy26zkPD7S+H3ERwKaVEBhV/R4iMoYi0vuk5KSACDXu+aOjo5SmbzUqFEDP/30E/z9/VG1alU8evQI+/fvx+TJk/H555/D1tYWY8eOzXX72bNnY8aMGQbL9+zZA1tb2wJ+G+Ps3bvXpPs3n9bAY+O3fqle/mW8axi/f2PMBQDY4PLly7h8+XKBtim715d0eI3LPku5xqmpqeYOgYjKqDY1KqCKsw1uJz7D2qP/YnQHn6LvVBCyWt01RvzuykwxvrWfqJywuOS+uHTs2BEdO3aUPlepUgXDhg1D8+bN0aJFC0yfPh3vv/8+FIqcT8HkyZMxceJE6XNycjKqVauG7t27w9HR0SQxq9Vq7N27F926dYNSqTTJMczl8ePHwOUFcHFUGb396qNxkKvs8yyX8PApbJQC7BxNfzc3NTUDvya8Bm36U+wc1x4+PnlXemX5+lIWXuOyz9Kusa5XGRFRcZPJBPRu7InF4Tfw7c5LGPGKd/EMrCcIbHUnMhGLS+51Lfa5tc4nJyfDxcXF6P03aNAA7dq1w759+3Dp0iU0atQox3LW1tawtrY2WK5UKk3+B11JHKOkKRQKQNBAKdMat72ggahVQxQz8yyn1aihlQv5lisOWq0aaRpAmylCLpcX+JqVxetL+niNyz5LucaWEAMRlV3vd3oJi8NvAADeXhmFVW+3NnNERJQXixstX/esfU7P1d+7dw9Pnz7N8Xn8wqhYsSIAICUlpUj7ISIiIiIqq5xtrTCpW20AwKFrCTge+8jMERFRXiwuudd1pd+zZ4/ButDQUL0yxtBoNDh+/DgAwMvLy+j9EBERERGVdWO71EJdDwcAwJL/WvGJyDJZXHLfpUsX+Pj4YM2aNTh9+rS0PCkpCbNmzYKVlRWGDx8uLb979y4uX75s0I3/xIkTBvvWaDT4/PPPcf36dfj5+cHT09Nk34OIiIiIqCz4qk99AMCei/dx4PIDM0dDRLmxuGfuFQoFli1bBn9/f3To0AGDBg2Cg4MDNm/ejLi4OMydOxfe3t5S+cmTJ2PlypVYsWIFRo4cKS1v0aIFGjdujMaNG6NKlSp49OgRDh48iKtXr6Jq1apYtmxZyX85IiIiIqJS5pWXKqKtTwUcvvEQX247j0N1/CBwnnkii2NxLfcA4Ofnh4iICPj6+mL9+vVYtGgR3N3dsW7dOkyaNKlA+5g0aRIcHBywd+9ezJ8/H2vWrIGNjQ2mTp2Ks2fP5juyOREREZUfwcHBqF+/Plq2bGnuUIgs0revNwQA3Hr8DD/tv27maIgoJxbXcq/TqlUr7Nq1K99yISEhCAkJMVg+d+5cE0RFREREZVFQUBCCgoKQnJwszdxDRM/5uNmjT5PK2HHmDubvvQoPJxUCWlQzd1hElI1FttwTEREREZFlmdP/+RTSn246i/RMjRmjIaIXMbknIiIiIqJ82VopsHFMW+nzK7P3mzEaInoRk3siIiIiIiqQlt6u0vuHKRm4/uCpGaMhouyY3BMRERERUYGdmNpVet91/sGSDyAzBRDFkj8ukYVjck9ERERERAVWwd4aA1+uKn2+nfisZAPY4g7sa88En+gFTO6JiIiIiKhQvuvfWHrv+10JPHsvtwXcfJ9/jo8ENKmmPy5RKcLknoiIiIiICkUuE9CsurP0OTlNbdoDCgLQ9RDwxn3THoeoFGNyT0REREREhbbhvecj57f6dp/pDygIgMLO9MchKqWY3BMRERERUaEp5c9TiTS1FnsvslWdyJyY3BMREVG5FxwcjPr166Nly5bmDoWoVIn64vnI+aN/O479l5ngE5kLk3siIiIq94KCgnDx4kVERUWZOxSiUsXNwRq/vNlc+vxWyHEzRkNUvjG5JyIiIiIio/Vs5IkvetaTPh+LeWTGaIjKLyb3RERERERUJO+0ryG9D1h8GCLnoCcqcUzuiYiIiIioSARBQLf67tLnGpN3mjEaovKJyT0RERERERXZ0uEt9D4fuPLATJEQlU9M7omIiIiIqFjEftdLej9qBQeoJCpJTO6JiIiIiKjYvNvBR3p/5mai+QIhKmeY3BMRERERUbH5vEdd6X2/4EgzRkJUvjC5JyIiIiKiYiOTCWhS1Un6rNVy5HyiksDknoiIiIiIitWqd1pL732mcOR8opLA5J6IiIiIiIqVo0qp9/nKvSdmioSo/GByT0RERERExS5mdk/p/cL918wYCVH5wOSeiIiIiIiKnSAIqFnJHgDw19m7EEU+e09kSkzuiYiIiIjIJOYHNJHez91zxYyREJV9TO6JiIiIiMgkGld1lt4HH4g2XyBE5QCTeyIiIir3goODUb9+fbRs2dLcoRCVOTNfayi9f5ahKb4dZ6bov9jtn8o5hbkDICrtRK0WcXFx+ZbTaLIqsxs3bkAul5s6LABAjRo1SuxYRESlWVBQEIKCgpCcnAwnJ6f8NyCiAgtsWQ1Tt54HANT7ajf+N/Rl9GjoUfQdb3HX/+zmC3Q9BAhC0fdNVAoxuScqIs2TBAxZmgCF0408y6kUAuZ3d0PPhYeQlmn6O8uZSQ8QOTMQNWvWNPmxiIiIiHKjlMtQxdkGtxOfAQDGrD6B2O96GbczuW1WEh8fabguPhLQpAIKuyJES1R6MbknKgYKp0pQulTOu4xcBKCBwtkDSg3vKBMREVH5Efl5ZyzYdxUL9mVNiZem1kClNKJ3oSBktc5rUp8vy0wxbMUnKof4zD0REREREZnc+51ekt7X/XK38TsShKzW+ewvImJyT0REREREpmetkEMue9578eaj1DxKE1FhMbknIiIiIqIScW3mq9L7wUuPmDESorKHyT0REREREZUIWbaW+1uPn0Hk9HVExYbJPRERERERlZhDn/pJ78etO22+QIjKGI6WT2QkrVaENu0ptOmp0KalQPPsSd7l5QBgA+2zp/hvyvsCk6nsIAi8F0dERESlXzVXW+n9jjN38FXv+nBzsDZjRERlA5N7IiOlpakx0nkTrJxSILOyhUxln2d5mUwJYDDeqrgVWq26wMd5lqbGyidDILdxKGLERERERJbhf0NfxpjVJwAA/X6OwD+Tu5g5IqLSj8k9URHY2FjBWsyAzNoKcpu87zgLQtZ/N1tbK4hiIVvh8+4UQERERFSq9GjoAU8nFe4mpeFOUhq0WlHveXwiKjz28yUiIiIiohL321utpPcjVhwzYyREZQOTeyIiIiIiKnG13J8/cnjoWgLS1IUclIiI9DC5JyIiIiIiszg+tav0vu6Xu80YCVHpx+SeiIiIiIjMoqK9/phFX249b6ZIiEo/JvdERERERGQ2MbN7Su9XHYlj93wiIzG5JyIiIiIisxEEAduCfKXP3f8v3IzREJVeTO6JiIiIiMismlRzhncFWwDAv49SkZ7J1nuiwmJyT0REREREZrd9bDvp/VdbL5gxEqLSick9ERERERGZnaNKKb1ff/wmzt1KMmM0RKUPk3siIiIq94KDg1G/fn20bNnS3KEQlWu7xreX3vf5OQKiKJoxGqLShck9ERERlXtBQUG4ePEioqKizB0KUblWz9MRb/nWkD6H/BNrvmCIShmFuQMgIiKi4uHj41PkfXz00UcYN25cMURDRGScqb3q4dfIGADAj39fw6hsyT4R5Y4t90RERGVEbGwsHj9+DFEUjXrFxcUhMTHR3F+DiMo5mUzAG82rAAASU9W4l5Rm5oiISge23BMREZUhEyZMwFdffWXUtjIZ7/kTkWX4rEddbDl5GwDQZvbfiP2ul5kjIrJ8rMWJiIiIiMiiuDuqMLRNdenz45QMM0ZDVDoYndy///77OHXqVHHGQkREREVw6dIlBAUFmW17IqLi9E2/htL7/4VHmzESotLB6OR+8eLFaNGiBVq0aIHFixfjyZMnxRkXERERFVKdOnVQoUIFs21PRFScBEGAtSIrXTly45GZoyGyfEYn9/v27UNAQAAuXLiADz74AJUrV8bbb7+NI0eOFGd8REREZKS///7b3CEQERVJkF9NAMCZm4nmDYSoFDA6ue/cuTPWrl2LO3fuYP78+ahRowZWrFgBX19fNGzYEAsXLsTjx4+LM1YiIiIqhN69e2Pjxo3mDoOIyGgda7tJ798KiTJjJESWr8gD6rm4uGD8+PE4e/YsDh8+jLfeegs3b97EhAkTUKVKFQwdOhQHDx4sjliJiIioEOrUqYPBgwfj559/zrVMYmIiPvvssxKMioio4JpUc5be77/8AMsO3TBfMEQWrlhHy2/dujWWLl2Kbdu2wdPTE2lpaVizZg06d+6MBg0aFKr1ICoqCj179oSzszPs7OzQpk0bbNiwwejYHj9+jCpVqkAQBPTo0cPo/RAREZUWhw4dQseOHTF+/Hh8+eWXeuvS0tIwZ84c+Pj4YO7cuWaKkIgofxdm+EvvZ/51CaIomjEaIstVbMl9cnIyfvnlFzRv3hxdunTBnTt30L59eyxbtgzvv/8+bt68iUGDBuH777/Pd18HDhyAr68vIiIiEBAQgDFjxuDevXsIDAzEvHnzjIrvww8/RFJSklHbEhERlUYODg7YvXs3AgMD8e233+Ldd99FRkYGli5dipo1a2Ly5MmQyWT47rvvzB0qEVGu7KwV+OXN5tLn34/+a8ZoiCxXkZP7Q4cOYcSIEfD09MSHH36I2NhYjB07FhcuXMDBgwfx1ltv4eeff0Z0dDQaNmyIn376Kc/9ZWZmYvTo0ZDJZAgPD8eSJUswb948nDlzBrVr18aUKVMQFxdXqBg3b96MNWvWYM6cOUX5qkRERKWOUqnEmjVrMHHiRCxfvhyVKlXCmDFjkJKSgunTpyMmJgaffPKJucMkIsrTqw09pPdTt57HuLWckpvoRUYn93PnzkW9evXQqVMnrFq1Ck2aNMGKFStw584dLFiwAPXq1dMr7+bmhgEDBuDOnTt57nf//v2Ijo7GkCFD0LRpU2m5k5MTpkyZgoyMDKxcubLAccbHx+P999/HsGHD0KtXr0J9RyIiorIgPDwcUVFREEURycnJcHd3x+XLl/HVV1/BwcHB3OEREeVLEAR8+/rzee+3n7mDJeHRZoyIyPIojN3w008/haOjI8aMGYMxY8agUaNG+W7z8ssvY/jw4XmWCQsLAwB0797dYJ2/f9bzNoUZoG/MmDGQy+X48ccf2S2fiIjKlaNHj2Lq1KnYv38/BEHA8OHD4ebmhnnz5mHo0KH4448/YG9vb+4wiYgK5M3WXuhe3wMtv90HAJi18zJGt/eBkL1QZoppg8hUQy6mZR1HUJr2WCVFbgsIQv7lyOIZndwvXboUgwcPhq2tbYG36dmzJ3r27JlnmWvXrgEAatWqZbDOw8MD9vb2Upn8rF69Glu2bMHWrVvh4uJSqOQ+PT0d6enp0ufk5GQAgFqthlqtLvB+CkO3X1Pt35wyMzMBUQ611rjOIpmiHIJMCUHI+0dWJldCJhPyLVccdMeSiVYFik23vrCxyWRaqOSATF64wWPkCgEajaZM/jxZqrL8f5iyWNo1zi+Otm3bAgB69eqF2bNno2HDrFYvLy8vfPTRR+jYsSN27twJd3d3k8dKRFQc3ByssWlMWwz432EAwKQNZzC/f7a8YYtpf58pAfQGgD9MepiSFfAUUNiZOwoqBkZnQEqlEtevX0fjxo1zLXP+/HmcPHky39b67HQJuJOTU47rHR0dC5Sk37lzB+PGjcPgwYPRr1+/Ah9fZ/bs2ZgxY4bB8j179hTqhoYx9u7da9L9m09r4LHxW79UL/8y3jWM339hGXssL+/C/zxmjWOtKeRWbrh8+TIuX75c6ONR0ZTd/8OkYynXODU1Nc/1bdq0wZw5c9C+fXu95R9++CEqVaqE4cOHw9fXF7t370bNmjVNGSoRUbFp4e0qvd9y6jbmDWwMwc0XiI80Y1RE5md0cj9q1ChMmzYtz+R+27Zt+OqrrwqV3BeXd955B0qlEgsXLjRq+8mTJ2PixInS5+TkZFSrVg3du3eHo6NjcYWpR61WY+/evejWrRuUyjLSzec/jx8/Bi4vgIujyujtVx+Ng1yVd/fRhIdPYaMUYOdo+ruPumNZiykQrG3zjU0QFPDy7oe42G0QxcwCHyc1NQO/JrwGmU3hus5mJt7DznHt4ePjU6jtyHhl+f8wZbG0a6zrVZabf/75J9d1AQEBqFChAl5//XX4+vri/v37xR0eEZHJrHyrFUb8egwAsPHkbQR0PQRo8r7hWRzUajVCQ0Ph7+9vEfVAsZCbtuGSSo7RyX1B5pfUaDSQyQrXDVvXYp9b63xycjJcXFzy3MfKlSuxa9cubNy4ERUrVizU8XWsra1hbW1tsFypVJr8P3JJHKOkKRQKQNBAKdMat72ggahV55sUazVqaOVCoZJnY+mOpRUzINMqC3xMUcwsVHxarRppGkCuKdyzUOpMEXK5vMz9LJUGZfH/MOmzlGtc1Bi6dOmCsLAwDjhLRKVOx9pu0vtv/ryIgBbVSqZruaiGRlBlHUth/nqAKLtim+c+J6dOnYKrq2v+BbPRPWuf03P19+7dw9OnT3N8Hv/F4wLAwIEDIQiC9KpRI6sfdWhoKARB0BuNn4iIqDxq3rw5IiPZlZWISp8gv5cAAE/STN+oQ1QaFKrlvnPnznqfQ0JCpNHts9NoNLh16xZiY2MREBBQqIA6duyI2bNnY8+ePRg0aJDeutDQUKlMXtq2bYunT58aLH/69CnWr1+PqlWrwt/fH9WrVy9UbERERGURH98hotLo9WZVEHwgazo8URQhcMR3KucKldxnT+QFQUBsbCxiY2MNyslkMri6umLgwIFYsGBBoQLq0qULfHx8sGbNGowbN05qXU9KSsKsWbNgZWWl9wz/3bt3kZSUBE9PT6lLf2BgIAIDAw32HRsbi/Xr16NBgwZYtmxZoeIiIiIiIiLLUc31+bPioRfuoUdDTzNGQ2R+heqWr9VqpZcoipg+fbreMt0rMzMTDx48wLp16wo9vY5CocCyZcug1WrRoUMHvPvuu5g0aRKaNGmCq1evYtasWfD29pbKT548GfXq1cMff5Sl+SiIiIiIiCgv1gq59H7M6pNmjITIMhj9zP2BAwcwYsSI4oxF4ufnh4iICPj6+mL9+vVYtGgR3N3dsW7dOkyaNMkkxyQiIiIiotLlvY7PHytKUxd22mCissXo0fLze+69qFq1aoVdu3blWy4kJAQhISEF2qe3t3eBRvknIiIqi3bs2AEPDw+0bNnS3KEQERWLT/3rYvHBGwCAdcf+xUjfGmaOiMh8Cpzc//bbbwCA119/HQ4ODtLngjDHPPdERET0XHh4OPr164dKlSrh9u3bkMvl+W9ERGTh5LLng+hN33ERQ9t4QSE36YRgRBarwMn9yJEjIQgC2rRpAwcHB+lzXnSjVjK5JyIiMi/dTfn4+Hjs2rULvXv3NnNERETFY2ib6lh95F8AwIQNZ/DT4GZmjojIPAqc3P/6668QBAGenlmjUK5YscJkQREREVHxSUtLw6ZNm9CpUyccP34cq1atYnJPRGXGFz3rS8n9jjN3mNxTuVWolvvsTDWYHhERERWvbdu24cmTJ3j33XdRrVo1bNy4EcnJyXB0dDR3aMVq9uzZ2Lx5M65cuQJbW1t07NgR33//vd4sO0RU9thYybE1yBevBUcCAMatPYWFTPCpHOIDKURERGXcqlWr4ODggNdffx1vvvkm0tLSsHHjRnOHVewOHjyIsWPH4ujRo9i9ezcePXqEV199FZmZmeYOjYhMrGk1Z+n99jN3zBcIkRkZndzfvHkT+/fvR2pqqrRMq9Vizpw58PX1RdeuXfHXX38VS5BERERknAcPHmDPnj14/fXXYW1tja5du8LDw6NQA+OWFrt378aIESNQv359NGvWDEuXLsXly5dx8eJFc4dGRCXg8OTO0vuP1p3iLFlU7hid3H/55ZcYOHAglEqltOzbb7/F5MmTcfjwYezfvx+vvfYaoqKiiiVQIiIiKry1a9dCo9Fg2LBhAACZTIbAwEBEREQgNja2yPtfvXo13nvvPbRo0QLW1tYQBCHfKWqjoqLQs2dPODs7w87ODm3atMGGDRuKHMuLkpKSAACurq7Fvm8isjwejirp/dbTd7Bg3zUzRkNU8oxO7iMjI9G1a1cpuRdFET///DPq1q2Lf//9F8eOHYOdnR1++OGHYguWiIiICue3335D5cqV0bnz8xatYcOGQRRFrF69usj7nzp1KpYsWYK4uDhp0N28HDhwAL6+voiIiEBAQADGjBmDe/fuITAwEPPmzStyPDoajQYff/wxevbsiapVqxbbfonIcgmCoNd6/+Pf13DpbrIZIyIqWUYn9w8ePICXl5f0+fTp04iPj8fYsWNRtWpVtGjRgi33REREZnTx4kWcOnUKgwcP1lvevHlz1KlTB6tWrSryMZYtW4bY2FjEx8djzJgxeZbNzMzE6NGjIZPJEB4ejiVLlmDevHk4c+YMateujSlTpiAuLk5vm88//xyCIOT5epEoihgzZgz+/ffffHsREFHZ4ulkg9/faS19fvXHQ9Bo2T2fygejk3utVgutVit9DgsLgyAIei0DVapUwb1794oWIRERERnlt99+gyAIGDp0qMG6IUOG4Pr16zh69GiRjtG1a1e9m/152b9/P6KjozFkyBA0bdpUWu7k5IQpU6YgIyMDK1eu1Ntm0qRJuHTpUp6v7ERRxAcffIB9+/bh77//hpubW5G+HxGVPr41K2Js55rS594/RZgxGqKSU+Cp8F5UvXp1HDt2TPq8detWeHp6ok6dOtKye/fuwdnZuUgBEhERUeGJoojff/8dDRs2ROPGjQ3WDx06FNOmTcOqVavQunXrHPZQ/MLCwgAA3bt3N1jn7+8PIGvE++zc3NwKnKCLooigoCD89ddfOHjwIKpVq5bvNunp6UhPT5c+JydndeFVq9VQq9UFOm5h6PZpin2T+fH6Wo5xfj74af91AMClu8mIT0qFs60yn63yx2tc9lnaNS5MHEYn9/3798e3336LAQMGQKVSISIiAh9++KFemYsXL8LHx8fYQxAREZGRjh8/DoVCgffeey/H9TVq1EDv3r1x9OhRiKKYY/f24nbtWtbgVrVq1TJY5+HhAXt7e6mMMYKCgrB27Vrs2LEDNjY2Uu9BV1dXWFlZ5bjN7NmzMWPGDIPle/bsga2trdGx5Gfv3r0m2zeZH6+vZfi+FfDpsax0Z+gvf+OD+tp8tig4XuOyz1KucfbZ6fJjdHL/8ccfY8+ePdiyZQsAoHHjxpg+fbq0Pi4uDseOHcPnn39u7CGIiIjISC1btkRMTEyeZbZv315C0WTRjV7v5OSU43pHR0epjDEWLVoEAGjfvr3e8gMHDqBTp045bjN58mRMnDhR+pycnIxq1aqhe/fucHR0NDqW3KjVauzduxfdunXTm3GIygZeX8vzvxsRuJGQiitJMrTu2BkV7HK+0VdQvMZln6VdY12PsoIwOrl3dHTEkSNHcP78eQBAvXr1IJfL9cps2bIFLVq0MPYQRERERAVmzJzW1tbWsLa2NliuVCpN+kedqfdP5sXraznWvdsWrWb9DQBo810YYr/rVSz75TUu+yzlGhcmBqOTe52GDRvmuNzLy6vAA+wQERFR2adrsc+tdT45ORkuLi4lGRIRlXGVHFWoaG+NhKdZY2vMDb2Cj/3r5LMVUelk9Gj5RERERIWhe9Y+p+fq7927h6dPn+b4PD4RUVFEfOYnvf/5wHUzRkJkWkVK7vft24eePXvCzc0NSqUScrnc4KVQFLlzABEREZUBHTt2BJA1WN2LQkND9coQERUXlVKOde+2kT6fiHtkxmiITMfozHvz5s0IDAyEVquFl5cX6taty0SeiIjIzHbt2oVXX33V3GHkqEuXLvDx8cGaNWswbtw4aa77pKQkzJo1C1ZWVhg+fLhZYgsODkZwcDA0Go1Zjk9EptW6hqv0vv+iw8X27D2RJTE6G//6669hY2ODbdu2oXPnzsUZExERERmpX79++OWXX/DOO++UyPGWLVuGiIgIAMC5c+ekZbo57du1ayfFolAosGzZMvj7+6NDhw4YNGgQHBwcsHnzZsTFxWHu3Lnw9vYukbhfFBQUhKCgICQnJ+c6mj8RlV6CIOC9Dj5YHH4DAHD9wVPUrGRv5qiIipfRyf2VK1cwbNgwJvZEREQWpEqVKnjvvfcQGxuLmTNnFmibq1evonbt2kYdLyIiAitXrtRbFhkZicjISOlz9hsNfn5+iIiIwLRp07B+/Xqo1Wo0atQIc+bMQWBgoFExEBEVxMTutaXkvseCcJz4shucbMw/GjpRcTH6mfsKFSrA1ta2OGMhIiKiIjp69CiaNWuG2bNnY/jw4cjMzMy17Llz5zBo0CA0aNDA6OOFhIRAFMVcXyEhIQbbtGrVCrt27UJSUhJSU1Nx9OhRJvZEZHLWCjmGt82azStTK6LlzH1mjoioeBmd3A8YMAD79u3L848GIiIiKlmVKlVCeHg4evbsidWrV6NHjx5ITk7WKxMVFYV+/fqhadOm2LBhA5o3b26maImIStakbs+nwcvQaBF+Nd6M0RAVL6OT+1mzZsHZ2RmBgYH4999/izMmIiIiKgJbW1ts27YNY8aMwf79+9GuXTvcvHkT4eHh8Pf3R5s2bbBjxw74+vpi9+7dOHr0qLlDJiIqEU62Slyd+XzQ0eG/HjNjNETFy+hn7hs1agS1Wo0jR45g69atcHZ2znEAGkEQEB0dXaQgiYiIqHBkMhl++eUX1KhRA5999hnq1q2LtLQ0iKKILl264Msvv0SHDh3MHabF4Gj5ROWHlUKG/s2rYvPJW+YOhahYGd1yr9VqoVAoUL16dVSvXh2Ojo45Pmun1WqLM14iIiIqoO3bt2PTpk0AgGfPngEAvv32W+zdu5eJ/QuCgoJw8eJFREVFmTsUIioBk7o/H0T0btIzM0ZCVHyMbrmPjY0txjCIiIiouKxfvx6zZs3C+fPnIQgCAgIC0Lt3b4wbNw4zZsxAtWrVMHToUHOHSURkNpWdbaT395LS4Olkk0dpotLB6OSeiIiILE/dunVx7do1yOVyDBs2DFOmTJGmuWvevDleffVVjBgxAjdv3sTkyZPNHC0RkfnYWsmRmqHB67/8gxuzekImE8wdElGRGN0tP7uLFy9iy5YtWLVqVXHsjoiIiIwUExODd955B1euXEFISIje/PX169fH4cOH0ahRI0ydOhXvv/8+RFE0Y7RERObTuOrz8cKi45+aMRKi4lGk5D4qKgpNmzZFo0aNMHDgQIwcOVJaFx4eDltbW2zfvr2oMRIREVEB3bhxA4sXL0aNGjVyXF+5cmVERESgS5cuWLx4Mfr16yc9j09EVJ6seru19D41g4NpUulndHJ/4cIFdO7cGTExMZgwYQJeffVVvfXt27dHxYoVsXHjxiIHSURERAVTpUqVfMvY29tj586dGDZsGP7880906tTJ9IEREVkYpVwGn4p2AIDI6AQzR0NUdEYn99OmTQMAnDhxAnPnzkXLli311guCgLZt23LUWSIiIgukUCiwcuVKTJ48GcePHzd3OGYXHByM+vXrG/w9Q0Rl253/Rsr/fvcVZGRyli8q3YxO7g8ePIj+/fujZs2auZapXr067t69a+whiIiIyMS+/fZb/O9//zN3GGbHqfCIyqc3W3tJ72tP3YXwq/FmjIaoaIxO7p88eYJKlSrlWebZs2fQaPj8ChERkSUbPXq0uUMgIjKLsZ31GyrfXXWcLfhUahmd3FerVg3nzp3Ls8zJkyfx0ksvGXsIIiIiKoQhQ4Zgy5YtZtueiKi0cba1wtnp3fFBp6ycJU2txf3kNDNHRWQco5P73r17Y8+ePdi3b1+O6zds2IAjR47gtddeM/YQREREVAjr1q3D+fPnzbY9EVFp5KhS4hP/OtLn9t8fwIm4x2aMiMg4CmM3nDJlCjZt2oSePXtixIgRuHfvHgDgl19+weHDh7F27Vp4e3tj4sSJxRYsERER5e306dP47bffzB0GEVGpIggCAlpUxYbjtwAA/Rf9g9jvepk5KqLCMTq5d3Nzw8GDBzFs2DAsX75cWv7hhx8CAFq3bo21a9fCycmp6FESERFRgWzduhVbt241WC4IQp7biaJoooiIiEqH7wc0wTO1FjvO3AEAxD1MgVcFOzNHRVRwRif3AODj44PIyEicPn0aR44cwaNHj+Do6IjWrVtzKhkiIqIStmLFiiLvo2nTpkUPhIiolJrRt4GU3M/dcxU/DW5m5oiICq5Iyb1O06ZN+ccAERGRmY0YMQIAEBkZiZCQECQkJMDLywtDhgxBq1atzBydZQsODkZwcDBn+SEq51ztrGClkCEjM6sFn8k9lSYFTu7feustow4gCIJet30iIiIynfDwcHTt2hUajUbqav/TTz/h22+/xeeff27m6CxXUFAQgoKCkJyczEcKicq5795ohIkbzgAAktPUcFQpzRwRUcEUOLkPCQnJcbkgCDk+p6dbzuSeiIio5MyaNQuZmZkYPXo0OnbsiKtXr2LhwoWYOnUqOnbsiLZt25o7RCIii9ajoYeU3B+JfojuDTzMHBFRwRQ4uY+JidH7rNVqMX78eBw5cgTjx49H+/bt4e7ujvv37yM8PBwLFy5E27Zt8X//93/FHjQRERHl7OzZs+jWrRsWL14sLRsyZAgaN26MRYsWMbknIsqHrZUCdT0ccPneE0zaeAbnmNxTKVHg5N7Ly0vv83fffYejR4/izJkz8PT0lJbXqVMHHTp0wKhRo9CsWTNs2rQJn376afFFTERERLm6f/++waN0tWvXRp8+fRAREWGmqIiISpdWNVxx+d4TPEnLRHT8U7zkZm/ukIjyJTN2w+XLlyMgIEAvsc+uSpUqCAgIwNKlS40OjoiIiApHFEVYWVkZLK9Zsybu3r1rhoiIiEqfr3rXl953mXcQao3WjNEQFYzRyf2tW7egUqnyLKNSqXDr1i1jD0FERERGyGlOe5VKhYyMDDNEQ0RU+ijkMnzao470edvpO2aMhqhgjE7uq1atij/++ANpaWk5rk9NTcUff/yBqlWrGh0cERERFd6CBQvQu3dvTJ8+HX/99RcePHhg7pCIiEqdDzrVlN5/te28GSMhKhijk/t33nkHN27cgK+vL7Zt24aHDx8CAB4+fIitW7eiXbt2iI2NxejRo4stWCIiIspbs2bNkJKSgp07d+Lrr79G37594enpiTlz5gAAZs+ejZ07d+LOHbZCERHl590OPgCA1AwN5oZeMXM0RHkr8IB6L/rkk09w9epVrFixAm+88QYAQCaTQavNeh5FFEWMGjUKn3zySfFESkRERPk6ceIE1Go1zp07h5MnT+LEiRM4efIkzp49C1EU8cUXX0jd9itWrIgmTZqgWbNmUvJPRETPfdDpJSwJvwEA2HX+LsZ39jFzRES5Mzq5l8lkWL58OYYPH46VK1fi7NmzSEpKgpOTE5o0aYJhw4ahU6dOxRgqERERFYRSqUTz5s3RvHlzvPPOOwAAjUaDCxcu4MSJE1LCf+bMGezbtw9///13uU/ug4ODERwcDI1GY+5QiMiCONtaYfP7bdF/0WFEx6eYOxyiPBmd3Ot07NgRHTt2LI5YiIiIyETkcjkaN26Mxo0bY9SoUQAArVaLS5cu4cSJE2aOzvyCgoL+v707j4+quv8//p4t+8oOiglhERCQVsBYFUQkqbQVv7WSSF3iglv8WSutFbQgtEJRcGtDK1IldalgsVhbEFA2WQVaqIhIZIlBdkgyWUgymbm/P2hGYkJIQmbuzOT1fDx4mDn33HM+kzPjyecu5yo7O1tOp1Px8fFmhwMggCS1jfb+XFTuMjESoGHnndwDAIDgZLVadckll+iSSy4xOxQACFhtor55vOj2A0XmBQKcQ7MX1AMAAACAUGe1fvN40WlLdstjmBgM0ACSewAAAABowKCkREnS3uNl+qLIco7agDlI7gEAAACgAc/efKn350+OkdwjMJHcAwAAAEADurWL1ncvSpAkfVVKco/ARHIPAAAAAOdwadcESdLxSpJ7BCaSewAAAAA4h8u7tfH+/LP527Xuy+MmRgPURXIPAAAAAOdwRUo778+LdxzRowu2mRcMUI+ATe43b96sUaNGKSEhQdHR0UpNTdWCBQsavf+SJUuUmZmp3r17KyEhQVFRUerdu7fuvvtu7d6924eRAwAAAAg18VEOvX3PYPVJ8EiSjjgrTY4IqM1udgD1WblypdLT0xUREaHMzEzFxsZq4cKFysjIUEFBgcaPH3/ONhYvXqyNGzfq8ssv1/XXXy+Hw6HPP/9cubm5evPNN7V48WJde+21fng3AAAAAELBZUmJ+tFFHn1edPocaYXLrQiHzeSogNMCLrmvrq7WuHHjZLVatWbNGg0cOFCSNGnSJA0ZMkQTJ07UT37yEyUlJTXYzrPPPqvf//73dco/+ugjXXfddfrVr36lzZs3++ItAACAIJOTk6OcnBy53W6zQwEQ4DpGfvPzCx/m6fHre5sXDHCGgLssf8WKFdqzZ4/Gjh3rTewlKT4+XhMnTlRVVZVyc3PP2U5ERES95SNGjFBiYqK+/PLLlgoZAAAEuezsbO3cuZMD/wDOyW6VYiNOnyP90+o9+sf2g/rH9oNa/OkhFZ9ymRwdWrOAO3O/atUqSVJaWlqdbenp6ZKk1atXN7v9DRs2qLCwUFdddVWD9SorK1VZ+c19NE6nU5LkcrnkcvnmS1vTrq/aN1N1dbVk2OTyNO94UrVhk8XqkMXS8EfWanPIarWcs15LqOnLaoQ1Kraa7U2NzWr1KMImWW1Gk/az2S1yu90h+XkKVKH8HcZpgTbGgRIHALQ2L//0Oxr759MHAx/+63+85T/o31k5P/2uWWGhlQu45D4vL0+S1LNnzzrbOnXqpJiYGG+dxli2bJnWr1+vyspK5eXl6Z///KfatWun559/vsH9pk+frilTptTbXlRUVKP7b47ly5f7tH3zXC4VNn/v7n3OXSe5W/Pbb6rm9pWUPLrJ+8yUJDX1UtH22rVrl3bt2tXk/nB+Qvc7jBqBMsbl5eVmhwAArdKgpASNu7qbdnx9+gTghr0nJEn/+vSQcswMDK1awCX3xcXFkk5fhl+fuLg4b53GWLZsmWbNmuV93aNHD7399tu67LLLGtxvwoQJevTRR72vnU6nunbtqrS0NMXFxTW6/6ZwuVxavny5Ro4cKYfD4ZM+zFJYWCjtekGJcfXfLtGY/d/YlC9bREyD9Y6fKFWkw6LouOhm9dMUNX2FG2WyhEedMzaLxa6k5NHK3/+eDKO60f2Ul1fp1eM3yhrZcPvfVl10WIsfvlopKSlN2g/NF8rfYZwWaGNcc1UZAMC/LBaLnvhBX+/rHV8X64e/XytJKq2sVkx4wKVZaAVC/lM3c+ZMzZw5U6Wlpdq5c6emTp2qK6+8Uq+++qrGjh171v3Cw8MVHh5ep9zhcPj8Dzp/9OFvdrtdsrjlsHqat7/FLcPjOmdS7HG75LFZmpQ8N1dNXx6jSlaPo9F9GkZ1k+LzeFyqcEs2t6VJ8bmqDdlstpD7LAWDUPwOo7ZAGeNAiAEAIPXqGOv9+dMDxbqie1sTo0FrFXAL6tWcsT/b2Xmn03nWs/oNiYmJ0ZAhQ7Ro0SL17t1b9957r44dO3ZesQIAAABAmP2btOqWVzbK7WnaWklASwi45L7mXvv67qs/fPiwSktL670fv7HsdruGDx+usrIybdmypdntAAAAAECN21K/eVT3pv/dgw/4U8Al98OGDZN0+l75b1u6dGmtOs118OBBSVzOCAAAAKBlTB19iffnxxb+18RI0FoFXHI/YsQIpaSk6K233tK2bdu85cXFxZo2bZrCwsJ0++23e8sPHTqkXbt21bmM/2xn5ZcuXaq///3vSkhI0BVXXOGT9wAAAACgdbFYLLrnqtOPUzpQeEony6pMjgitTcAtqGe32zV37lylp6dr6NChyszMVGxsrBYuXKj8/HzNnDlTycnJ3voTJkxQbm6uXnvtNWVlZXnLBw8erH79+mnAgAG68MILVVZWpv/+97/6+OOP5XA49Oqrryo62vcrqgMAAABoHe6/prvmrt0nSVq/57h+OKCLyRGhNQm45F6Shg8frrVr12ry5MmaP3++XC6X+vfvrxkzZigjI6NRbUybNk0rV67U6tWrdezYMVmtVl100UW699579cgjj6hPn0Y8NB0AAAAAGqldTLh6dohR3tFSVbqa95QooLkCMrmXpCFDhmjJkiXnrDdv3jzNmzevTvmECRM0YcIEH0QGAAAAAPVLahulvKOl+tenh+SscOmWIRcpwmEzOyy0AgGb3AMAAABAsImLPL1o94pdR7Vi11G1jw3n8nz4RcAtqAcAAAAAwerha3vq3qEp6tomUpK0Nb/Q5IjQWpDcAwCAVi8nJ0d9+/bV4MGDzQ4FQJBLbhetiaP6KMpx+iLpardhckRoLUjuAQBAq5edna2dO3dq8+bNZocCIERc2aOdJOn1jfkqq6w2ORq0BiT3AAAAANDCBiUnen/eddhpYiRoLUjuAQAAAKCFjerfWbERpy/Nn7Vst8nRoDUguQcAAAAAH7gg4fSieifLqkyOBK0ByT0AAAAA+MCjI3tJknYdLlFVtcfkaBDqSO4BAAAAwAcuS/rmvvtjpZUmRoLWgOQeAAAAAHygbUy4LJbTP980e725wSDkkdwDAAAAgI+M6N1RknTYWaEKl9vkaBDKSO4BAAAAwEd+d1N/78/f/c1yfXqg2MRoEMpI7gEAAADAR9pEhWlg1wRJUnmVW//9usjUeBC6SO4BAAAAwEesVov+/uD3dF2fDpKk3y3ZpcunfajLp32oX76z3eToEEpI7gEAAADAhywWi3p3ipMklVRU64izUkeclXpn6wHuw0eLsZsdAAAAAACEuvFpvXTjd7qostqjCpdbN/1xgyTp14t2aNzQFPXqGGtyhAh2JPcAAAAA4GMWi0U9OpxO4KuqPYp02HTK5dY7Ww/I7TH0XMZAcwNE0OOyfAAAAADwozC7Va/fPUTpl5x+TN6BwlPaVlAkwzBMjgzBjOQeAAAAAPxsUHIbXd2zvSTpk/0ndWPOOi3YUmByVAhmXJaPWtxut/bt29fi7RYVFSmxsFByn2re/sVFLRsQAAAAYLLhvTvoe93b6vNDThWWu3SgsHl/KwMSyT2+Zd++fbryyfmyx3do0XY9FWV6sGu+oqLCmrV/tfO47HHtWjQmAAAAwEwXJETqrXGpmvzeDuVuyNfbmwu0evcxhdms+kX6xUpNaWt2iAgiJPeowx7fQY7ELi3apvtUiawRMbJFhjdrf09lWYvGAwAAAASKLgmRkqRjJZU6VlIpSXr7k69I7tEkJPcAAAAAYKJ7rk7RgAsTdMpVreU7j+qvn3ylg0UVZoeFIENyDwAAAAAmslktuqL76bP0X50ol3R6kb3PDhbrki7xZoaGIMJq+QAAoNXLyclR3759NXjwYLNDAdDKDe3V3vvzvuPcmorGI7kHAACtXnZ2tnbu3KnNmzebHQqAVi6lfYxSU9pIkgrLXSZHg2BCcg8AAAAAAaS0slqStP7L4yZHgmBCcg8AAAAAAeSC/62enxDlMDkSBBOSewAAAAAIIP0vOL2InmGYHAiCCsk9AAAAAAQQi8UiieQeTUNyDwAAAABAkCO5BwAAAIAA9OWxUrNDQBAhuQcAAACAAFKzWn5pRbXJkSCYkNwDAAAAQABJbhslSYpntXw0Ack9AAAAAASQmPDTSf0n+07qWEmlydEgWJDcAwAAAEAAsVkt3p/vmrfZxEgQTEjuAQAAACCAfK9HW/XsECNJOuysMDkaBAuSewAAAAAIIHERDr10y3fMDgNBxm52AAAAAACA+h0vrVTqtI8arBMTYddzYy7VgAsT/BMUAhLJPQAAAAAEmC7xkYoKs6m8yn3uS/Od0vKdR0juWzmSewAAAAAIMPFRDq371bX6uuhUg/VeXrNX728/KMPwU2AIWCT3AAAAABCAEqPDlBgd1mCdtv/bvvOQUx6PIesZK+2jdWFBPQAAAAAIUpb/5fIrdh3VCx/uNjcYmIrkHgAAAACC1A8HdPb+vO9EuYmRwGwk9wAAAAAQpC5LaqPJP+prdhgIANxzDwAAAAAh4KizQqt3H/O+Htg1QfGRDhMjgj+R3AMAAABAELP+78b7TftOatO+T7zlA7smaFH2lWaFBT8juQcAAACAIDaiTwct33lEheVVkqQKl1t7jpWd8zF6CC0k9wAAAAAQxC5MjNIb91zuff35Iaeuf/FjEyOCGVhQDwAAAABCkGFILrdHhmGYHQr8gOQeAAAAAELQ8dJK9Xxiica+sokEvxUguQcAAACAEJLUNkpd4iO8rzfsPaFTLreJEcEfSO4BAEBIeP7553XJJZcoJiZGCQkJuvbaa7Vp0yazwwIAv4sKs2vNY8O1ccIIs0OBH5HcAwCAkJCUlKTnnntO27dv1/r169WjRw+lp6frxIkTZocGAH5nt1kVF8n66a0JyT0AAAgJP/7xj5Wenq7u3burb9++mjlzpoqLi7Vjxw6zQwMA01W4PGaHAB8juQcAAM32xhtv6L777tOgQYMUHh4ui8WiefPmNbjP5s2bNWrUKCUkJCg6OlqpqalasGBBi8ZVVVWlOXPmKDExUf3792/RtgEgWFgtFu/Pb23KNzES+APXaQAAgGZ78sknlZ+fr3bt2qlz587Kz2/4j8eVK1cqPT1dERERyszMVGxsrBYuXKiMjAwVFBRo/Pjx5xXPxx9/rOuvv16nTp1Sp06dtHz5crVp0+a82gSAYBXhsCnSYdMpl1slFdVmhwMfC9gz9+dzVN8wDC1ZskQPPPCABgwYoPj4eEVFRenSSy/VtGnTVFFR4ePoAQBoHebOnav9+/fr2LFjuv/++xusW11drXHjxslqtWrNmjWaM2eOZs2ape3bt6tXr16aOHFinYMDjz/+uCwWS4P/zjRo0CBt27ZN69ev1/XXX68xY8bo+PHjLf6+ASBY3HZFktkhwE8C8sz9+R7Vr6ys1KhRoxQeHq5rrrlG6enpqqio0NKlS/XEE09o0aJFWrVqlaKiovz0jgAACE3XXXddo+uuWLFCe/bs0Z133qmBAwd6y+Pj4zVx4kRlZWUpNzdXkyZN8m4bP368srKyGt1HZGSkevTooR49eujyyy9Xz5499dprr+mXv/xlo9sAACAYBVxy/+2j+jWT/6RJkzRkyBBNnDhRP/nJT5SUdPYjUDabTb/97W/14IMPKjEx0Vvucrl000036f3331dOTg4TPQAAfrRq1SpJUlpaWp1t6enpkqTVq1fXKm/fvr3at2/f7D4Nw1BlZWWz9weAULH3eJk+2HFIdqtV3+vRVlFhAZcK4jwF3Ig256j+tzkcDj3xxBP1lk+YMEHvv/++Vq9eTXIPAIAf5eXlSZJ69uxZZ1unTp0UExPjrdMcv/rVr3TDDTfowgsv1MmTJzV79mwdOHBAN91001n3qaysrJX8O51OSadPCLhcrmbHcjY1bfqibZiP8Q19wTjGFsOQJC3feUTLdx6RJI257AI9feMlZoYVsAJtjJsSR8Al9805qt8UDodDkmS3B9xbBwAgpBUXF0s6fcC+PnFxcd46zXHw4EFlZmbq6NGjatOmjQYPHqyPP/5Yffr0Oes+06dP15QpU+qUL1u2zKe37y1fvtxnbcN8jG/oC6YxTiyX+iRYVeG2qMQlHa+w6NM9BVq8mNXzGxIoY1xeXt7ougGX4fr6qP6rr74qqf6DB2fy95H8mrbP/K8Z3G63IuwW2W1Gi7brsUlWq0MWS/M+clZrmCyN2N9qc8hqtTS7nybF9L++rEbjYqvZ3tTYrFaPImyStYljYrNb5Ha7A+aoY2sQCN9h+FagjXGgxBEoXn/99SbvM2HCBD366KPe106nU127dlVaWpri4uJaMjxJp8ds+fLlGjlypPeEA0IH4xv6gnWM7/7ff9/9z9f61bufqUP7Dho16rumxhSoAm2Ma/LQxgi45N6XR/WXLFmil19+WX369NHdd9/dYF2zjuRL5h8lei6tvSR3C7caKemWFm6zruRuPu/ivPtKSh7d5H1mSmr6mLTXrl27tGvXrib3h/Nj9ncYvhcoY9yUo/mBoGZuP9s87nQ6a62V4w/h4eEKDw+vU+5wOHz6R52v24e5GN/QF6xjbLP972ST1RKU8ftToIxxU2IIuOTeVzZv3qyMjAzFx8frnXfeqXciP5O/j+RLgXGUaO/evRr10seyJ3Rq0XY9p0p1V7tFiooKa9b+1cVHZQmPki0ipsF6x0+UKtJhUXRcdLP6aYqavsKNskbFZrHYlZQ8Wvn735NhNP45o+XlVXr1+I2yRjbc/rdVFx3W4oevVkpKSpP2Q/MFwncYvhVoY9yUo/mBoOaqvLy8PF122WW1th0+fFilpaUaMmSIGaEBABD0Ai6598VR/S1btigtLU1Wq1VLly7VJZece/EIs47k+6uPs7HZbKqoNuRwW85duQncbsnjcckwrM3a3+OpktXjOGdS7HG75LFZmpQ8N1dNXx6jcbHVMIzqJsXn8bhU4ZZsTRwTV7Uhm80WEAlIaxMoR3rhO4EyxoEQQ1MMGzZM06dP17Jly5SZmVlr29KlS711AAC+9d8DxfrV3/6ryTf0ZdX8ENK8TMuHzjyq/201R/Xrux//bLZs2aKRI0fK4/Fo6dKlGjx4cIvFCgAAGm/EiBFKSUnRW2+9pW3btnnLi4uLNW3aNIWFhen22283JbacnBz17duXvxMAhLR2Maevoj1ZVqX5Wwq0/ssTJkeElhRwyX3NEftly5bV2dbUo/o1ib3b7dYHH3ygyy+/vOUCBQAAmjt3rrKyspSVlaV33nmnTtncuXO9de12u+bOnSuPx6OhQ4fq3nvv1fjx43XppZdq9+7dmjZtmpKTk015H9nZ2dq5c6c2b95sSv8A4A9De7ZX7l1D1K3d6VtYqz0ekyNCSwq4azDOPKr/8MMPe591f7aj+ocOHVJxcbE6d+5caxG+rVu3auTIkaqurtYHH3ygK664wt9vBQCAkLd27Vrl5ubWKlu3bp3WrVvnfX3PPfd4fx4+fLjWrl2ryZMna/78+XK5XOrfv79mzJihjIwMv8UNAK2R1WrRsF7t1S4mTPuOl5kdDlpYwCX3NUf109PTNXToUGVmZio2NlYLFy5Ufn6+Zs6cWeuo/oQJE5Sbm6vXXntNWVlZkqSTJ09q5MiRKioq0ve//30tX768zsrGCQkJeuSRR/z3xgAACEHz5s3TvHnzmrTPkCFDtGTJEt8EBABAKxVwyb10/kf1nU6nCgsLJUkffPCBPvjggzp1kpKSSO4BAAAAACEhIJN7qfFH9es7Y5CcnCzDMHwUGQAAAAAEv2U7j6jg5KlaZZentNGACxPMCQjnJWCTewAAAABAywu32yRJ7/77a0lf19qWGOXQfyalmRAVzhfJPQAAaPVycnKUk5Mjt9ttdigA4HOPpvVSp/gIuT3fXO1c4XJryY7DKjrlMjEynA+SewAA0OplZ2crOztbTqez1tN3ACAUffeiRH33osRaZcdKKrVkx2GTIkJLCLjn3AMAAAAAgKYhuQcAAAAAIMiR3AMAAAAAEOS45x4AAAAAIEkyDOkf2w96X1+YGFnn/nwEJpJ7AAAAAGjl7FaL9+eH//qfWts+fHSoenSI9XdIaCKSewAA0OrxKDwArV1idJgevraHtuQXesv+81WRTrncOuqsJLkPAiT3AACg1eNReAAgPZp2ca3X6c+v0RdHSkyKBk3FgnoAAAAAAAQ5knsAAAAAAIIcl+UDAc7jMeSpKG36fhVlKioq0smTJxu9T0JCgqxWjvkBAAAAwYbkHghwFRUuZSX8TVGx0U3azxNbqsSDO6VTjXt0SVFJhZQ6WW3atGlOmAAAAABMRHIPBIHIyDBFR4c3aR+3tUqJcRFqEx/po6gAAADQGhwqrtC+42V1yi9MjJTDxlWfgYLkHgAAAABwVuPf2V5v+XcuStDfH7zSz9HgbDjMAgAAWr2cnBz17dtXgwcPNjsUAAgYNwzsorgIu2LDa/+LDrNJkj476DQ5QpyJM/cAAKDV4zn3AFBX9vAeyh7eo075waJT+t7vVpgQERrCmXsAAAAAAIIcyT0AAAAAAEGO5B4AAAAAgCBHcg8AAAAAQJBjQT0gVBmGioqLGl290Fmhwr17dfLkSd/FdIZu3brJZrP5pS8AAAAg1JHcAyHKU1Wuhf8ulzW8sFH1y8urNLtgrawR0T6OTKouPqp1v81Qjx51V18FAAAA0HQk90AIs4ZHyxYZ27i6nkrZEzo1uj4AAABaN7fH0NyP93pfR4fb9cMBnRUb4TAxqtaL5B4AAAAA0Ghh9tNLt7k9hn77r89rbTtRWqmHru1pRlitHsk9AABo9XJycpSTkyO32212KAAQ8NrFhGvyj/pqe0GRt+yzg07lHS1VYbnLvMBaOZJ7AADQ6mVnZys7O1tOp1Px8fFmhwMAAe/OK7vVej3jg13KO1pqUjSQeBQeAAAAAABBj+QeAAAAAIAgR3IPAAAAAECQI7kHAAAAACDIkdwDAAAAABDkSO4BAAAAAAhyJPcAAAAAAAQ5knsAAAAAAIIcyT0AAAAAoEWs33NCU97/TNsLiswOpdWxmx0AzOXxeFRUVOR9XVRUJE9FmdynSlq2n4pSGTJatE0EL8M4/bk7efKkz/tKSEiQ1cpxTAANy8nJUU5Ojtxut9mhAEBQigk/nVp+fsipzw85tb2gSO8+eKXJUbUuJPetXFFRkYo2TlFCbIQkKbGwUA92zZc1IqZF+zlZWCZVh7VomwheRuUpWXf/XjrVyaf9FJVUSKmT1aZNG5/2AyD4ZWdnKzs7W06nU/Hx8WaHAwBB59bLk2S3WrTzkFPvbTuo8ioOlvobyT2UEBuhNvGRp1+4TykqKky2yPAW7aO8vKpF20Pwi48J/+ZzBwAAgKAWH+XQfcO6a23ecb237aDZ4bRKXKsKAAAAAECQI7kHAAAAACDIkdwDAAAAABDkSO4BAAAAAAhyJPcAAAAAAAQ5knsAAAAAAIIcyT0AAAAAAEGO5B4AAAAAgCBHcg8AAAAAQJAjuQcAAAAAIMiR3AMAAAAAEOTsZgcAAAAAAAgtZVXVWpt33G/9OWwWfTcpUQ5b6z1/TXIPAAAAAGgRVsvp/xacPKVb/7zJr33fcUWSpozu59c+AwnJPQAAaPVycnKUk5Mjt9ttdigAENS+c1GiruvTUQcKy/3WZ/Eplw4VV+hA4Sm/9RmISO4BAECrl52drezsbDmdTsXHx5sdDgAErcgwm+beMcivfS7YXKDHFv7Xr30GotZ7QwIAAAAAACGC5B4AAAAAgCAXsMn95s2bNWrUKCUkJCg6OlqpqalasGBBo/ffs2ePnnrqKd1www264IILZLFYlJyc7LuAAQAAAAAwSUDec79y5Uqlp6crIiJCmZmZio2N1cKFC5WRkaGCggKNHz/+nG18/PHHmjJlimw2m/r06aPDhw/7IXIAAAAAAPwv4M7cV1dXa9y4cbJarVqzZo3mzJmjWbNmafv27erVq5cmTpyo/Pz8c7YzdOhQbdiwQSUlJfr000/lcDj8ED0AAAAAAP4XcMn9ihUrtGfPHo0dO1YDBw70lsfHx2vixImqqqpSbm7uOdtJSUlRamqqIiMjfRgtAAAAAADmC7jL8letWiVJSktLq7MtPT1dkrR69Wp/hgS0Ch6PIU9FqX/6qiyTYRh+6QsAAABoDQIuuc/Ly5Mk9ezZs862Tp06KSYmxlvHlyorK1VZWel97XQ6JUkul0sul8snfda066v261NdXS0ZNrk8py/iqDZsslgdslha9qNhtTlktVqa3a7VGtaouM63nybF9L++rEbjYqvZ3tTYmvueGvs7q1Hlku5q+56iYqKb1E9znDCO6VRVkvdz5yvVhk2qrvbbd8qM7zD8K9DGOFDiAAAA5gu45L64uFjS6cvw6xMXF+et40vTp0/XlClT6pQvW7ZMUVFRPu17+fLlPm2/rsulwm9ede/T8j0kd2v5Ns3s53z6Skoe7Zd+msqfvztdIu2VtPfcy2ecvw0b/NBJbf7/DsPfAmWMy8vLzQ4BAAAEiIBL7gPFhAkT9Oijj3pfO51Ode3aVWlpaYqLi/NJny6XS8uXL9fIkSP9tgBgYWGhtOsFJcZFeF+/sSlftoiYFu3n+IlSRTosio5r3lnh6uKjsoRHnTOu8+2nKWr6CjfKGhWbxWJXUvJo5e9/T4ZR3eR+mvqeGvs7O99+muPYwaPKGNxFvXsm+7SfQmeF1PsRJSYm+rSfGmZ8h+FfgTbGNVeVAQAABFxyX3PG/mxn551Op1/+UA8PD1d4eHidcofD4fM/6PzRRw273S5Z3HJYPadfW9wyPK4mJZ+N4XG75LFZmt2ux1Mlq8dxzv3Pt58mxfS/vjxG42KrYRjVTYqvue+psb+z8+2nOdzuKllV7f3c+Yrd4pbsdr8nYf78DsMcgTLGgRADAAAIDAG3Wn7Nvfb13Vd/+PBhlZaW1ns/PgAAAAAArVXAJffDhg2TdPre9m9bunRprToAAAAAACAAk/sRI0YoJSVFb731lrZt2+YtLy4u1rRp0xQWFqbbb7/dW37o0CHt2rXLL4vsAQAAAAAQiALunnu73a65c+cqPT1dQ4cOVWZmpmJjY7Vw4ULl5+dr5syZSk5O9tafMGGCcnNz9dprrykrK8tbfvz4cf3iF7/wvna5XDp+/HitOjNnzlS7du388K4AAAAAAPCdgEvuJWn48OFau3atJk+erPnz58vlcql///6aMWOGMjIyGtVGaWmpcnNza5WVlZXVKnvqqadI7gEAAAAAQS8gk3tJGjJkiJYsWXLOevPmzdO8efPqlCcnJ8swDB9EBgAAAABAYAm4e+4BAAAAAEDTBOyZewAAAAAAGmv7gSLdk7tZkmS1WHRrapKG9mpvclT+Q3IPAABavZycHOXk5MjtdpsdCgCgidrGhEmSjpdW6cPPj3rLT5ZVkdwDAAC0JtnZ2crOzpbT6VR8fLzZ4QAAmuCaizto7u2DdKKsUpL0+aESzVu/Xy63x+TI/IvkHgAAAAAQtGxWi67r29H7esWuI5q3fr95AZmEBfUAAAAAAAhyJPcAAAAAAAQ5knsAAAAAAIIcyT0AAAAAAEGO5B4AAAAAgCBHcg8AAAAAQJAjuQcAAAAAIMiR3AMAAAAAEORI7gEAAAAACHIk9wAAAAAABDmSewAAAAAAghzJPQAAAAAAQY7kHgAAAACAIEdyDwAAAABAkCO5BwAAAAAgyJHcAwAAAAAQ5EjuAQAAAAAIciT3AAAAAAAEOZJ7AAAAAACCHMk9AAAAAABBjuQeAAAAAIAgR3IPAAAAAECQI7kHAAAAACDIkdwDAAAAABDkSO4BAAAAAAhyJPcAAAAAAAQ5knsAABByHnjgAVksFv3hD38wOxQAAPyC5B4AAISUf/7zn9qwYYO6dOlidigAAPiN3ewAALRChiFniVMnT570aTeFzgoV7t3bpH66desmm83mw6gA+NKRI0f0wAMPaPHixfrRj35kdjgAAPgNyT0Av/O4TmnpjlNaf9jt037Ky6s0u2CtrBHRjapfXXxU636boR49evg0LiCUvPHGG/r444+1detWffrpp6qqqtJrr72mrKyss+6zefNmTZ48WevXr5fL5VL//v316KOPasyYMecdz5133qmHH35Y/fv3P++2AAAIJiT3AExhDYuSLTLWt314KmVP6OTzfoDW7Mknn1R+fr7atWunzp07Kz8/v8H6K1euVHp6uiIiIpSZmanY2FgtXLhQGRkZKigo0Pjx45sdyx/+8AeVlZWdVxsAAAQr7rkHAADNNnfuXO3fv1/Hjh3T/fff32Dd6upqjRs3TlarVWvWrNGcOXM0a9Ysbd++Xb169dLEiRPrHBx4/PHHZbFYGvwnSbt27dJvfvMb5ebmymrlzxsAQOvD7AcAAJrtuuuuU1JSUqPqrlixQnv27NHYsWM1cOBAb3l8fLwmTpyoqqoq5ebm1tpn/Pjx+vzzzxv8J0kbN27UsWPH1KNHD9ntdtntduXn5+tnP/tZrb4AAAhVXJYPIGR5PIY8FaWNr19RpqKiomYt9JeQkNDkfZrK4/GoqKjI5/3USEhI4AwoWtSqVaskSWlpaXW2paenS5JWr15dq7x9+/Zq3779Odu+8cYbNWjQoDptZmVl6c477zzrfpWVlaqsrPS+djqdkiSXyyWXy3XOfpuqpk1ftA3zMb6hjzEODtXVp9d12nW4ROnPrz5H7doMw1BJqU05e9Z5rw5rrnlZl6ldTPh5tdGUzxrJPYCQVVHhUlbC3xQV27gF9TyxpUo8uFM6ldikfopKKqTUyYqN9e29/UVFRSraOEUJsRE+7Uf65j21adPG532h9cjLy5Mk9ezZs862Tp06KSYmxlunqRISEuocZHM4HOrcuXODi2ROnz5dU6ZMqVO+bNkyRUVFNSuWxli+fLnP2ob5GN/QxxgHtoPlkmRXZbVHXxxp/Imeb1h0qLzsvONYtvwjJZxfbq/y8vJG1yW5BxDSIiPDFB3duP+ruq1VSoyLUJv4SB9H1XwJsYEdH9CQ4uJiSacvw69PXFyct46/TJgwQY8++qj3tdPpVNeuXZWWlqa4uLgW78/lcmn58uUaOXKkHA5Hi7cPczG+oY8xDh7XDivTIWdFk/errq7Wv7f+W9+97Luy288vXR50UYLCHef3iOWaK8oag+QeAACEpP3795+zTnh4uMLD6x4AdDgcPv3D3dftw1yMb+hjjAPfxV0SdHGXpu/ncrlUtsfQsIs7BsQYNyUGbqYEAAB+UXPG/mxn551O51nP6gMAgIaR3AMAAL+oude+vvvqDx8+rNLS0nrvxwcAAOdGcg8AAPxi2LBhkk4vVvdtS5curVUHAAA0Dck9AADwixEjRiglJUVvvfWWtm3b5i0vLi7WtGnTFBYWpttvv92U2HJyctS3b18NHjzYlP4BADhfLKgHAACabe7cuVq7dq0k6dNPP/WW1TzT/qqrrtI999wjSbLb7Zo7d67S09M1dOhQZWZmKjY2VgsXLlR+fr5mzpyp5ORkM96GsrOzlZ2dzX3/AICgRXIPAACabe3atcrNza1Vtm7dOq1bt877uia5l6Thw4dr7dq1mjx5subPny+Xy6X+/ftrxowZysjI8FvcAACEGpJ7AADQbPPmzdO8efOatM+QIUO0ZMkS3wQEAEArRXJvArfbrX379tVbLkl79+6VzWbzSyxFRUVKLCyU3KdOvy4u8ku/AAAAAICWQ3Jvgn379unKJ+fLHt+hVnmE3aLn0tpr1Esfq6La8EssnooyPdg1X1FRYZKkaudx2ePa+aVvAAAAAEDLILk3iT2+gxyJXWqX2QxJbtkTOsnhtvglDvepElkjYmSLDJckeSrL/NIvAACBJCcnRzk5Od6r6AAACDY8Cg8AALR62dnZ2rlzpzZv3mx2KAAANAvJPQAAAAAAQY7kHgAAAACAIMc99wBQwzCa9cSIQmeFCvfuVWxsrCTfPfEiPj5e/nmOBgAAAIINyT0A/I+nqlwL/10ua3hhk/YrL6/S7IK1ioqJ8dkTL6qLj+pfv0hXSou2CgAAgFBBcg8AZ7CGR8sWGdu0fTyVsid0kj0mRv5+4gUAAAAgBfA995s3b9aoUaOUkJCg6OhopaamasGCBU1qo7KyUlOnTlXPnj0VERGhLl266N5779XRo0d9FDUAAAhGOTk56tu3rwYPHmx2KAAANEtAnrlfuXKl0tPTFRERoczMTMXGxmrhwoXKyMhQQUGBxo8ff842PB6PRo8eraVLlyo1NVU33XST8vLyNHfuXH300UfauHGj2rdv74d3AwAAAl12drays7PldDoVHx9vdjgAADRZwJ25r66u1rhx42S1WrVmzRrNmTNHs2bN0vbt29WrVy9NnDhR+fn552wnNzdXS5cu1S233KL169frd7/7nRYuXKjZs2dr7969evLJJ/3wbgAAAAAA8L2AO3O/YsUK7dmzR3feeacGDhzoLY+Pj9fEiROVlZWl3NxcTZo0qcF2XnnlFUnS9OnTZbF8c+/rfffdp2effVZvvvmmXnjhBUVGRvrkfQBASzI8HhUUFCjRVii5T/m8v5onAJw8efKcdbt16+aTpwMAAACg8QIuuV+1apUkKS0trc629PR0SdLq1asbbKOiokKbNm3SxRdfrKSkpFrbLBaLRo4cqZdffllbtmzR1Vdf3TKBA4APuUuO696/fKWHL8lXVFSYz/ureQKANSK6wXquwsP6633fq/P/WrO53W5JavGDDjXtnu/jDjkgAgAAWlrAJfd5eXmSpJ49e9bZ1qlTJ8XExHjrnM2ePXvk8XjqbePMtvPy8s6a3FdWVqqystL7uri4WJJ08uRJuVyuc7+RBhQXF8tadEAWT0XtDTaLysvbSidOyOJu2cdonY21olzFlmJVlJz+I7O6tEzWcLesjqoW7cdZXKEqu0WVpyrPXbkejY3rfPtpipq+7MapRsVmtTrUoWO5Th45KY+n8Z+h5r6npo6lf393laquMuQyTvi4n6a9p+Z+/isr3dLhz+WJilZ5eVd5DhbIaOFH4enEV7KHhauk1K0qV8t+P+tTWelWmKdSVk/DCain7Jhum/WubNGJPo+pKaqO58sWGdficYXbrPrN6D76weQ3Ven2NKsNd1mh3v/NXUpOTj7veEpKSiRJhuGfOaM1qPldOp1On7TvcrlUXl4up9Mph8Phkz5gHsY39DHGoS/QxrhmPmrMXB9wyX1NEn22xWzi4uK8dc6njTPr1Wf69OmaMmVKnfJu3bo12Pf5GvuyT5uv17P+77IV+5fZAcBnPpIkjZ3n2178+339yK+9BYux88+/jUFLZp9/I2coKSlhEbgWUnPApGvXriZHAgDANxoz1wdcch8oJkyYoEcffdT72uPx6OTJk2rbtm2te/hbktPpVNeuXVVQUOA9AIHQwfiGPsY49AXaGBuGoZKSEnXp0sXsUEJGly5dVFBQoNjYWJ/M94H2GULLYnxDH2Mc+gJtjJsy1wdccl9zNOJsZ9WdTqcSExu+zLIxbZxZrz7h4eEKDw+vVZaQkNBgvy0lLi4uID5I8A3GN/QxxqEvkMaYM/Yty2q16sILL/R5P4H0GULLY3xDH2Mc+gJpjBs71wfco/DOvB/+2w4fPqzS0tKz3ktfIyUlRVar9az35jd0Xz8AAAAAAMEm4JL7YcOGSZKWLVtWZ9vSpUtr1TmbyMhIDRkyRF988YXy8/NrbTMMQ8uXL1d0dLQGDRrUQlEDAAAAAGCegEvuR4wYoZSUFL311lvatm2bt7y4uFjTpk1TWFiYbr/9dm/5oUOHtGvXrjqX4N97772STt87f+bKgi+//LL27t2rn/70pwH3jPvw8HBNnjy5zu0ACA2Mb+hjjEMfY4zzxWcotDG+oY8xDn3BPMYWIwCfn7Ny5Uqlp6crIiJCmZmZio2N1cKFC5Wfn6+ZM2dq/Pjx3rpZWVnKzc3Va6+9pqysLG+5x+PRqFGjtHTpUqWmpmrYsGH68ssv9e677yo5OVmbNm1S+/btTXh3AAAAAAC0rIA7cy9Jw4cP19q1a3XllVdq/vz5+uMf/6iOHTvq7bffrpXYN8Rqteq9997TU089pWPHjun555/XunXrdPfdd2vDhg0k9gAAAACAkBGQZ+4BAAAAAEDjBeSZewAAAAAA0Hgk9wAAAAAABDmS+wCwefNmjRo1SgkJCYqOjlZqaqoWLFhgdlg4T19//bVeeOEFpaWl6aKLLlJYWJg6deqkm266SZs2bTI7PPjQjBkzZLFYZLFYtHHjRrPDQQv5+9//rpEjR6pt27aKiIhQt27ddMstt6igoMDs0BAEmOtDF/N968RcH5qCfa63mx1Aa3e2JwNkZGSooKCg0QsIIvD8/ve/14wZM9S9e3elpaWpffv2ysvL06JFi7Ro0SK99dZbysjIMDtMtLAdO3Zo8uTJio6OVllZmdnhoAUYhqH7779fc+bMUffu3b3/rz548KBWr16t/Px8de3a1ewwEcCY60Mb833rw1wfekJlrmdBPRNVV1erd+/eOnDggDZu3KiBAwdKkoqLizVkyBDt379fu3fvVlJSkrmBolneffddtW3bVsOGDatV/vHHH2vEiBGKiYnRoUOHgvIZmqify+VSamqqHA6HevbsqTfeeEMbNmxQamqq2aHhPLz44ot65JFH9OCDD+qll16SzWartb26ulp2O8fKUT/m+tDHfN+6MNeHplCZ67ks30QrVqzQnj17NHbsWO9kL0nx8fGaOHGiqqqqlJuba16AOC8//vGP60z0knT11Vdr+PDhKiws1KeffmpCZPCVp59+Wp999pleffXVOpMCgtOpU6c0ZcoUpaSk6MUXX6x3XINhsod5mOtDH/N968JcH3pCaa4PjihD1KpVqyRJaWlpdbalp6dLklavXu3PkOAnDodDUvD8jwLn9u9//1tPP/20pk6dqr59+5odDlrIsmXLVFhYqDvvvFNut1v/+Mc/tHv3biUkJOi6665Tjx49zA4RAY65vnVjvg8tzPWhKZTmev5PY6K8vDxJUs+ePets69Spk2JiYrx1EDq++uorffjhh+rcubP69+9vdjhoAZWVlbr99ts1cOBAPfbYY2aHgxa0detWSZLNZtOAAQO0e/du7zar1aqf//znmjlzplnhIQgw17dezPehhbk+dIXSXM9l+SYqLi6WdPrSvPrExcV56yA0uFwu3XbbbaqsrNSMGTO4nCtETJo0SXl5eXrttdcY0xBz9OhRSdJzzz2n+Ph4ffLJJyopKdGaNWvUq1cvzZo1S3/84x9NjhKBjLm+dWK+Dz3M9aErlOZ6knvATzwej7KysrRmzRqNGzdOt912m9khoQVs2LBBM2fO1JNPPql+/fqZHQ5amMfjkSSFhYVp0aJFGjx4sGJiYnT11VfrnXfekdVq1axZs0yOEkAgYb4PPcz1oS2U5nqSexPVHMU/2xF7p9N51iP9CC4ej0d33XWX3nrrLd16663605/+ZHZIaAHV1dW64447NGDAAD3++ONmhwMfqPl/8KBBg9SlS5da2/r166eUlBTt2bNHRUVFJkSHYMBc37ow34ce5vrQF0pzPcm9iWruv6vvXrvDhw+rtLS03nv0EFw8Ho/uvPNO5ebm6pZbbtG8efNktfLVCwWlpaXKy8vTtm3bFBYWJovF4v1Xs/r1FVdcIYvFokWLFpkbLJrl4osvliQlJCTUu72m/NSpU36KCMGGub71YL4PTcz1oS+U5noW1DPRsGHDNH36dC1btkyZmZm1ti1dutRbB8GrZqL/y1/+ooyMDL3++uvcpxVCwsPDdffdd9e7bc2aNcrLy9MNN9yg9u3bKzk52b/BoUUMHz5ckvT555/X2eZyufTll18qOjpa7du393doCBLM9a0D833oYq4PfSE11xswjcvlMlJSUozw8HDjP//5j7e8qKjI6NWrlxEWFmbs27fPtPhwftxut3HHHXcYkoybb77ZcLlcZocEP6oZ+w0bNpgdCs5TWlqaIcl45ZVXapVPnTrVkGTceuutJkWGYMBcH/qY71sv5vrQESpzPWfuTWS32zV37lylp6dr6NChyszMVGxsrBYuXKj8/HzNnDmTI4BBbOrUqcrNzVVMTIx69eql3/72t3Xq3HjjjRo4cKD/gwPQaLNnz9b3vvc9jRs3TosWLVLv3r31n//8RytWrFBSUpKeffZZs0NEAGOuD33M90DwC5W5nuTeZMOHD9fatWs1efJkzZ8/Xy6XS/3799eMGTOUkZFhdng4D/v375d0+l6tp59+ut46ycnJTPZAgOvevbu2bNmiSZMm6YMPPtCyZcvUqVMnZWdna9KkSerQoYPZISLAMdeHNuZ7IPiFylxvMQzDMDsIAAAAAADQfCzhCQAAAABAkCO5BwAAAAAgyJHcAwAAAAAQ5EjuAQAAAAAIciT3AAAAAAAEOZJ7AAAAAACCHMk9AAAAAABBjuQeAAAAAIAgR3IPAAAAAECQI7kH/GTVqlWyWCx66qmnfN6XxWLRNddc4/N+AtXBgwcVHR2tadOmmR1Ki3G5XEpJSdGYMWPMDgUAcBbM9f7DXA/URXIPNMH+/ftlsVhq/YuKilKXLl00YsQITZo0SXv27DE7zFbviSeeUFRUlB5++GGf9TFp0iRdd9116tq1qyIjI9WuXTsNGjRIzz//vMrLyxvc94c//KE6duwoj8fT6P4cDoeeeOIJvfPOO9q4ceP5hg8AOAvm+uDAXA/UZTEMwzA7CCBY7N+/X926dVP37t116623SpIqKyt19OhRffLJJ9qxY4dsNpsee+wxPf3007JYLN59y8vL9dVXX6ldu3Zq166dT+O0WCwaNmyYVq1a5dN+AlFeXp569+6tJ554QlOnTvVZP23atFHPnj3Vr18/dejQQSUlJVq1apU+++wzXXrppVq/fr2ioqLq7FdWVqZ27drppz/9qebOndukPqurq3XBBRdowIABWr58eUu9FQDAGZjrAx9zPVA/u9kBAMGoR48e9V5yt3btWt12222aPn26bDabfvOb33i3RUVFqXfv3n6MsnWaM2eOPB6PbrvtNp/2c/DgQUVERNQpv+222/TGG2/otddeU3Z2dp3tS5cuVUVFhUaPHt3kPu12uzIzM/X73/9eX375pXr06NGs2AEA58ZcH7iY64H6cVk+0IKuuuoqffDBBwoPD9czzzyjgoIC77az3YeXl5enO++8U926dVN4eLjatGmjSy+9VI888oi+fWFNSUmJpkyZogEDBigqKkrx8fH6zne+o1//+tdyuVx14jly5IjuuOMOtWvXTpGRkUpNTa33CP/WrVv10EMPqV+/foqPj1dkZKT69++v3/3ud/W2m5ycrOTkZBUVFemhhx5S165dZbfbNW/ePG+dl19+WZdccokiIiLUtWtXPfbYY6qoqDjrPYIlJSWaPHmyLrnkEkVGRiohIUHp6elau3Ztw7/0M3g8HuXm5mrgwIHq2bNnne01fX/99dcaO3as2rVrp9jYWP3gBz/Q3r17JUmff/65brzxRrVp00axsbH6yU9+oiNHjtRpq77JXpJuvvlmSdKXX35Z7/b33ntPUVFRuu6667xlK1eu1PXXX68uXbooPDxcHTt21NVXX605c+bU2X/MmDEyDEO5ubnn/oUAAFocc/08bx3meuZ6BBaSe6CFXXzxxRozZoyqqqq0aNGiBusePHhQQ4YM0ZtvvqmBAwfq5z//uX7605+qc+fOmj17ttxut7fu0aNHNWTIED311FOy2Wx64IEHdNddd6lTp06aMWOGysrKarVdVFSkq666Sp999pluu+02/fjHP9aWLVuUnp6uHTt21Kr7yiuv6O9//7v69++v++67T3fffbcMw9CECROUmZlZb+yVlZW69tprtWzZMt1www3Kzs5Wx44dJZ2+R+3+++/XiRMnNG7cON18881asGDBWReIOXnypK644gpNnTpViYmJuv/++3XTTTdp69atGj58+Dl/jzU+/fRTHTt2TKmpqWetU1hYqKuuukr79u3THXfcoWuuuUaLFy/WyJEjtWPHDn3ve99TaWmp7rrrLg0aNEgLFy7ULbfc0qj+Jelf//qXJKlfv351trndbv3zn/9UWlqaIiMjvfVHjBihTZs2KT09XePHj9cNN9ygyspKvf7663XauOyyy+RwOPTRRx81OiYAQMtirmeul5jrEYAMAI22b98+Q5KRnp7eYL0///nPhiTjtttu85atXLnSkGRMnjzZW/bSSy8ZkowXXnihThsnTpyo9fqmm24yJBkTJ06sU/fw4cOGy+XyvpZkSDIefPBBw+12e8vnzp1rSDLuu+++Wvvn5+cb1dXVtco8Ho9x1113GZKMtWvX1tqWlJTk/T2Ul5fX2vbFF18YNpvNuOCCC4wjR454y51Op9G3b19DkjFs2LBa+4wdO9aQZLzyyiu1yo8cOWJ07drVaN++vXHq1Kk67/vbcnJy6m2nRs3v5ec//3mt8gceeMCQZCQkJNQaC4/HY4waNcqQZGzdurXeNmfMmGFMnjzZ+NnPfmYMGjTIkGSkpaUZVVVVderWfAbmzZvnLfvxj39sSDK2bdtWp/7x48fr7fM73/mO4XA4jIqKinq3AwCaj7n+NOb6bzDXI1hw5h7wgS5dukiSjh8/3qj6NUd2z9SmTRvvz4cPH9a7776r7t2713v/X8eOHWW3115CIzo6WjNmzJDV+s3X/I477pDdbtfmzZtr1b3oootks9lqlVksFu99ZB9++GG9cT/zzDN1Yv/rX/8qt9ut8ePHq0OHDt7y2NhYPfnkk3XaOH78uObPn69rr71W99xzT61tHTp00C9/+UsdO3bsrDGc6cCBA5LkPatQn5iYGP32t7+tVVZztL5t27a1Vt21WCzesxnbt2+vt71nnnlGU6ZM0YsvvqgtW7bo1ltv1cKFC+VwOOrUfe+992Sz2fTDH/6wzrb6PgNt27att8+OHTvK5XLp6NGjZ3mXAABfY65nrmeuR6BhQT3ARD/60Y80YcIEZWdn66OPPtL3v/99DRs2TCkpKbXqbdmyRYZhaPjw4fVOJPXp1auXYmJiapXZ7XZ17NhRRUVFtcqrqqr0hz/8QW+//bZ27dql0tLSWvcAHjx4sE77ERER6t+/f53ymonxqquuqrPtyiuvrFO2efNmud1uVVZW1vvHTF5eniRp165d9U6UZzpx4oQkKSEh4ax1evbsWWdl286dO0uSBgwYUGvV4zO31fc7kL75o+7w4cNasWKFfvWrX+nyyy/X0qVLdeGFF9aq+9577+nKK6+sNZFnZmbq3XffVWpqqsaOHasRI0bo6quvbnCV5Zo/Bo8fP66uXbuetR4AwHzM9cz1zPXwF5J7wAdqJof27ds3WC85OVkbN27UU089pcWLF2vBggWSpN69e2vq1KneBVuKi4slSRdccEGjY4iLi6u33G6317q/T5J+8pOf6P3331evXr2UkZGhDh06yOFwqKioSC+++KIqKyvrtNOhQ4c6k6MkOZ1O7/Zvq+8o+8mTJyVJ69at07p16876fr59n2F9ao6IV1RUnLVOfb+XmjMhDW2rb7GhM3Xq1Eljx45Vz549NWTIEI0fP17z58/3bv/vf/+rffv26aGHHqq1380336xFixbpueee05/+9Cfl5OTIYrFo+PDhmjVrlgYOHFinr1OnTklSvY/fAQD4B3M9cz1zPQINyT3gAzWr1A4ePPicdfv166e//e1vcrlc2rp1q5YsWaKXXnpJGRkZ6tKli6688krv0emvv/66xWPdvHmz3n//faWnp+tf//pXrUv2Nm7cqBdffLHe/eqb7KVvJs2jR48qKSmp1rb6VqKtqT9+/HjNnDmzWe+hRs0fWDV/RJhh8ODBSkxMrLNS8XvvvSdJuvHGG+vsM3r0aI0ePVolJSVat26d3n33Xf35z3/W97//fe3atavO2Yma93euPygBAL7DXM9cz1yPQMM990AL2717txYsWKDw8HD93//9X6P3czgcSk1N1ZQpU/TSSy/JMAz985//lCQNGjRIVqtVK1euPOdR5abas2ePJOkHP/hBnXvxPv744ya3d+mll0pSvUfm169fX6ds8ODBslgs2rBhQ5P7+raaSwe/+OKL826ruUpLS1VcXFznksr33ntP/fr1q3MZ5pliY2P1/e9/X3PmzFFWVpaOHDmiTZs21an3xRdf6IILLqh1ryYAwH+Y65nrmesRiEjugRa0bt06paenq7KyUo8//vg5L63bunWr99K2M9Uc9a55vmrHjh110003ac+ePZoyZUqd+kePHlV1dXWzYq454v7tZ8x+9tlnmj59epPby8zMlNVq1axZs2otMlRWVqann366Tv1OnTppzJgxWr9+vZ599tk6z/uVpE2bNqm8vPycfV999dWyWq31TpItae/evfWeMXC5XHrkkUfk8Xg0atQob/mBAwe0detWjR49us4+a9asqXPppCTvAjrffsbuV199pcOHD2vo0KHn+zYAAM3AXM9cz1yPQMVl+UAzfPnll94FYaqqqnT06FF98skn+vTTT2Wz2fTkk09q8uTJ52zn9ddf18svv6yhQ4eqe/fuiouL086dO7V48WK1adNGd955p7fu7NmztWPHDj399NNavHixrr32WhmGod27d2vZsmU6cuRIg4vLnM2QIUM0ZMgQLViwQIcOHVJqaqq++uor/eMf/9APfvAD/e1vf2tSexdffLEef/xxTZs2Tf3799eYMWNkt9v17rvvqn///tqxY0etVX1r3tsXX3yhxx57TK+//rquuOIKJSQkqKCgQFu2bFFeXp4OHTp0zvvOEhMTNWzYMK1du1YVFRV1JsuWsmbNGt1///266qqrlJKSorZt2+rw4cP68MMPdeDAAfXp06fWHzc1l+nVN+E//PDDOnjwoK666iolJyfLYrFo7dq1+uSTT5SamlpnsaLly5dLqv+SPwBAy2GuPzvmeuZ6BCiznsEHBKOaZ9+e+S8yMtLo3LmzMXz4cOPXv/618eWXX9a7b33Pvt24caNx3333Gf369TMSEhKMyMhIo2fPnsZDDz1k5Ofn12mjuLjY+PWvf2307t3bCA8PN+Lj442BAwcakyZNqvWsVdXzfNkaSUlJRlJSUq2yo0ePGnfddZfRpUsXIyIiwujfv7+Rk5Nj7N2715Bk3HHHHeds49tmz55t9OnTxwgLCzMuvPBC4xe/+IVRUFBgSDJGjx5dp355ebnxzDPPGJdddpkRHR1tREZGGt26dTNuvPFG4y9/+UutZ/s2ZP78+YYkY/78+XW2ne33UjOu336fhlH/uO3evdv4f//v/xkDBw402rZta9hsNiMhIcG44oorjGeeecYoKyur1cbIkSONCy64wPB4PHXaf/vtt40xY8YY3bt3N6Kiooz4+Hjj0ksvNWbMmGGUlJTUqX/NNdcYHTp0qPfZugCA88dcf/Y2vo25/hvM9QgEFsOo57oYAPCBDz/8UCNHjtRjjz2mGTNm+KQPl8uliy++WN27d/ce+TZTcXGx2rdvr3vuuUezZ88+r7by8vJ08cUX66mnntKkSZNaKEIAAFoOcz1zPczDPfcAWtyxY8fq3FtWVFSkCRMmSPLtZWYOh0PTp0/Xhx9+WO+iPv62ZMkSuVyuei/Ta6qpU6eqc+fOGj9+fAtEBgBA8zHXf4O5HoGCe+4BtLg333xTM2fO1LXXXqsuXbro0KFD+uCDD3T06FFlZWXpiiuu8Gn/GRkZ+uqrr3TixAmf9tMYmZmZyszMPO92as5SZGVlKTo6ugUiAwCg+Zjrv8Fcj0DBZfkAWtwnn3yip59+Wps3b9bJkydls9nUp08fZWVl6cEHH6yzyA4AAAguzPVA4CG5BwAAAAAgyHFIDQAAAACAIEdyDwAAAABAkCO5BwAAAAAgyJHcAwAAAAAQ5EjuAQAAAAAIciT3AAAAAAAEOZJ7AAAAAACCHMk9AAAAAABB7v8D5RQRRRe222wAAAAASUVORK5CYII="/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f0841e5c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 8:</b>
+<p>Interpret the figures above, answering the following questions:</p>
+<ul>
+<li>Are there differences between the two computed distributions for $q$?</li>
+<li>What are the advantages and disadvantages of using the simulations?</li>
+</ul>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9aed79cd">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>In the PDF plot, we can see that the shape of the distribution is similar for $q$. In the CDF plot, we can see that there are significant differences in the tail of the distribution of $q$, being the values from the observations higher than those computed from the simulations. This is because the Gaussian distribution does not properly fit the tail of the distribution of $h$ and when inferring values with very low exceedance probabilities, that becomes more noticeable. </li>
+<li><b>Disadvantages:</b> we are assuming that $h$ and $u$ are independent (we will see how to address this issue next week). But is that true? Also, the results are conditioned to how good model is the selected parametric distribution. In this case, since the tail of the distribution of $h$ is not properly fitted, the obtained distribution for $q$ deviates from the one obtained from the observations. Also, some simulated values are negative and, thus, non-physical. That could be corrected using distributions bounded in 0. <li><b>Advantages:</b> I can draw all the samples I want allowing the computation of events I have not observed yet (extreme events).</li>
+</li></ul>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=559c8d20">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>If you run the code in the cell below, you will obtain a scatter plot of both variables. Explore the relationship between both variables and answer the following questions:</p>
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 9:</b>
+<ol>
+<li><p>Observe the plot below. What differences do you observe between the generated samples and the observations?</p>
+</li>
+<li><p>Compute the correlation between $h$ and $u$ for the samples and for the observartions. Are there differences?</p>
+</li>
+<li><p>What can you improve into the previous analysis? Do you have any ideas/suggestions on how to implement those suggestions?</p>
+</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1c470613">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">rs_h</span><span class="p">,</span> <span class="n">rs_u</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'Simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">h</span><span class="p">,</span> <span class="n">u</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">,</span><span class="s1">'x'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'Observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Water depth, h (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Flow velocity, u (m/s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=e6008955">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#Correlation</span>
+<span class="n">correl</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">pearsonr</span><span class="p">(</span><span class="n">h</span><span class="p">,</span> <span class="n">u</span><span class="p">)</span>
+<span class="n">correl_rs</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">pearsonr</span><span class="p">(</span><span class="n">rs_h</span><span class="p">,</span> <span class="n">rs_u</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The correlation between the observations is:'</span><span class="p">,</span> <span class="n">correl</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The correlation between the simulations is:'</span><span class="p">,</span> <span class="n">correl_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>The correlation between the observations is: 0.3862454961028311
+The correlation between the simulations is: 0.0020271910707288735
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=df191144">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>The observations are focussed in an area of the plot while the simulations are spreaded all around. this is because the observations are dependent to each other, there is a physical relationship between the water depth and the velocity of the flow, while the simualtions were assumed to be independent. </li>
+<li>There is a correlation of 0.39 between the observed $h$ and $u$, indicating the physical dependence between the variables. On the contrary, no significant correlation between the generated samples is observed.</li>
+<li><b>Some suggestions:</b> Improve the fit in the tail of $h$. Account for the dependence between the two variables. </li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+</div>
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diff --git a/src/students/GA_1_7/solutions/Analysis_emissions_solution.html b/src/students/GA_1_7/solutions/Analysis_emissions_solution.html
new file mode 100644
index 0000000000000000000000000000000000000000..cfe9194b294fa56be7e8b4fc678a300e49bffdba
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+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yMCA4aC0yLjgxYy0uNDUtLjc4LTEuMDctMS40NS0xLjgyLTEuOTZMMTcgNC40MSAxNS41OSAzbC0yLjE3IDIuMTdDMTIuOTYgNS4wNiAxMi40OSA1IDEyIDVjLS40OSAwLS45Ni4wNi0xLjQxLjE3TDguNDEgMyA3IDQuNDFsMS42MiAxLjYzQzcuODggNi41NSA3LjI2IDcuMjIgNi44MSA4SDR2MmgyLjA5Yy0uMDUuMzMtLjA5LjY2LS4wOSAxdjFINHYyaDJ2MWMwIC4zNC4wNC42Ny4wOSAxSDR2MmgyLjgxYzEuMDQgMS43OSAyLjk3IDMgNS4xOSAzczQuMTUtMS4yMSA1LjE5LTNIMjB2LTJoLTIuMDljLjA1LS4zMy4wOS0uNjYuMDktMXYtMWgydi0yaC0ydi0xYzAtLjM0LS4wNC0uNjctLjA5LTFIMjBWOHptLTYgOGgtNHYtMmg0djJ6bTAtNGgtNHYtMmg0djJ6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-code-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBzaGFwZS1yZW5kZXJpbmc9Imdlb21ldHJpY1ByZWNpc2lvbiI+CiAgICA8cGF0aCBkPSJNNi41OSwzLjQxTDIsOEw2LjU5LDEyLjZMOCwxMS4xOEw0LjgyLDhMOCw0LjgyTDYuNTksMy40MU0xMi40MSwzLjQxTDExLDQuODJMMTQuMTgsOEwxMSwxMS4xOEwxMi40MSwxMi42TDE3LDhMMTIuNDEsMy40MU0yMS41OSwxMS41OUwxMy41LDE5LjY4TDkuODMsMTZMOC40MiwxNy40MUwxMy41LDIyLjVMMjMsMTNMMjEuNTksMTEuNTlaIiAvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-console: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwMCAyMDAiPgogIDxnIGNsYXNzPSJqcC1jb25zb2xlLWljb24tYmFja2dyb3VuZC1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiMwMjg4RDEiPgogICAgPHBhdGggZD0iTTIwIDE5LjhoMTYwdjE1OS45SDIweiIvPgogIDwvZz4KICA8ZyBjbGFzcz0ianAtY29uc29sZS1pY29uLWNvbG9yIGpwLWljb24tc2VsZWN0YWJsZS1pbnZlcnNlIiBmaWxsPSIjZmZmIj4KICAgIDxwYXRoIGQ9Ik0xMDUgMTI3LjNoNDB2MTIuOGgtNDB6TTUxLjEgNzdMNzQgOTkuOWwtMjMuMyAyMy4zIDEwLjUgMTAuNSAyMy4zLTIzLjNMOTUgOTkuOSA4NC41IDg5LjQgNjEuNiA2Ni41eiIvPgogIDwvZz4KPC9zdmc+Cg==);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-delete: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2cHgiIGhlaWdodD0iMTZweCI+CiAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIiAvPgogICAgPHBhdGggY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjI2MjYyIiBkPSJNNiAxOWMwIDEuMS45IDIgMiAyaDhjMS4xIDAgMi0uOSAyLTJWN0g2djEyek0xOSA0aC0zLjVsLTEtMWgtNWwtMSAxSDV2MmgxNFY0eiIgLz4KPC9zdmc+Cg==);
+  --jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-duplicate: url(data:image/svg+xml;base64,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);
+  --jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-error: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj48Y2lyY2xlIGN4PSIxMiIgY3k9IjE5IiByPSIyIi8+PHBhdGggZD0iTTEwIDNoNHYxMmgtNHoiLz48L2c+CjxwYXRoIGZpbGw9Im5vbmUiIGQ9Ik0wIDBoMjR2MjRIMHoiLz4KPC9zdmc+Cg==);
+  --jp-icon-expand-all: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGgKICAgICAgICAgICAgZD0iTTggMmMxIDAgMTEgMCAxMiAwczIgMSAyIDJjMCAxIDAgMTEgMCAxMnMwIDItMiAyQzIwIDE0IDIwIDQgMjAgNFMxMCA0IDYgNGMwLTIgMS0yIDItMnoiIC8+CiAgICAgICAgPHBhdGgKICAgICAgICAgICAgZD0iTTE4IDhjMC0xLTEtMi0yLTJTNSA2IDQgNnMtMiAxLTIgMmMwIDEgMCAxMSAwIDEyczEgMiAyIDJjMSAwIDExIDAgMTIgMHMyLTEgMi0yYzAtMSAwLTExIDAtMTJ6bS0yIDB2MTJINFY4eiIgLz4KICAgICAgICA8cGF0aCBkPSJNMTEgMTBIOXYzSDZ2MmgzdjNoMnYtM2gzdi0yaC0zeiIgLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxwYXRoIGNsYXNzPSJqcC1pY29uMCBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiMwMDAiIGQ9Ik0xMDguNCAwaDIzdjIyLjhoMjEuMlYwaDIzdjY5aC0yM1Y0NmgtMjF2MjNoLTIzLjJNMjA2IDIzaC0yMC4zVjBoNjMuN3YyM0gyMjl2NDZoLTIzbTUzLjUtNjloMjQuMWwxNC44IDI0LjNMMzEzLjIgMGgyNC4xdjY5aC0yM1YzNC44bC0xNi4xIDI0LjgtMTYuMS0yNC44VjY5aC0yMi42bTg5LjItNjloMjN2NDYuMmgzMi42VjY5aC01NS42Ii8+CiAgPHBhdGggY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI2U0NGQyNiIgZD0iTTEwNy42IDQ3MWwtMzMtMzcwLjRoMzYyLjhsLTMzIDM3MC4yTDI1NS43IDUxMiIvPgogIDxwYXRoIGNsYXNzPSJqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNmMTY1MjkiIGQ9Ik0yNTYgNDgwLjVWMTMxaDE0OC4zTDM3NiA0NDciLz4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1zZWxlY3RhYmxlLWludmVyc2UiIGZpbGw9IiNlYmViZWIiIGQ9Ik0xNDIgMTc2LjNoMTE0djQ1LjRoLTY0LjJsNC4yIDQ2LjVoNjB2NDUuM0gxNTQuNG0yIDIyLjhIMjAybDMuMiAzNi4zIDUwLjggMTMuNnY0Ny40bC05My4yLTI2Ii8+CiAgPHBhdGggY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZS1pbnZlcnNlIiBmaWxsPSIjZmZmIiBkPSJNMzY5LjYgMTc2LjNIMjU1Ljh2NDUuNGgxMDkuNm0tNC4xIDQ2LjVIMjU1Ljh2NDUuNGg1NmwtNS4zIDU5LTUwLjcgMTMuNnY0Ny4ybDkzLTI1LjgiLz4KPC9zdmc+Cg==);
+  --jp-icon-image: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1icmFuZDQganAtaWNvbi1zZWxlY3RhYmxlLWludmVyc2UiIGZpbGw9IiNGRkYiIGQ9Ik0yLjIgMi4yaDE3LjV2MTcuNUgyLjJ6Ii8+CiAgPHBhdGggY2xhc3M9ImpwLWljb24tYnJhbmQwIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iIzNGNTFCNSIgZD0iTTIuMiAyLjJ2MTcuNWgxNy41bC4xLTE3LjVIMi4yem0xMi4xIDIuMmMxLjIgMCAyLjIgMSAyLjIgMi4ycy0xIDIuMi0yLjIgMi4yLTIuMi0xLTIuMi0yLjIgMS0yLjIgMi4yLTIuMnpNNC40IDE3LjZsMy4zLTguOCAzLjMgNi42IDIuMi0zLjIgNC40IDUuNEg0LjR6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,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);
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+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,PHN2ZwogICB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMiAyMiIgd2lkdGg9IjE2Ij4KICAgIDxwYXRoIHRyYW5zZm9ybT0icm90YXRlKDQ1KSIgY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0ZGMkEyQSIKICAgICAgIGQ9Im0gMjIuMzQ0MzY5LC0zLjAxNjM2NDIgaCA1LjYzODYwNCB2IDEuNTc5MjQzMyBoIC0zLjU0OTIyNyB2IDEuNTA4NjkyOTkgaCAzLjMzNzU3NiBWIDEuNjUwODE1NCBoIC0zLjMzNzU3NiB2IDMuNDM1MjYxMyBoIC0yLjA4OTM3NyB6IG0gLTcuMTM2NDQ0LDEuNTc5MjQzMyB2IDQuOTQzOTU0MyBoIDAuNzQ4OTIgcSAxLjI4MDc2MSwwIDEuOTUzNzAzLC0wLjYzNDk1MzUgMC42NzgzNjksLTAuNjM0OTUzNSAwLjY3ODM2OSwtMS44NDUxNjQxIDAsLTEuMjA0NzgzNTUgLTAuNjcyOTQyLC0xLjgzNDMxMDExIC0wLjY3Mjk0MiwtMC42Mjk1MjY1OSAtMS45NTkxMywtMC42Mjk1MjY1OSB6IG0gLTIuMDg5Mzc3LC0xLjU3OTI0MzMgaCAyLjIwMzM0MyBxIDEuODQ1MTY0LDAgMi43NDYwMzksMC4yNjU5MjA3IDAuOTA2MzAxLDAuMjYwNDkzNyAxLjU1MjEwOCwwLjg5MDAyMDMgMC41Njk4MywwLjU0ODEyMjMgMC44NDY2MDUsMS4yNjQ0ODAwNiAwLjI3Njc3NCwwLjcxNjM1NzgxIDAuMjc2Nzc0LDEuNjIyNjU4OTQgMCwwLjkxNzE1NTEgLTAuMjc2Nzc0LDEuNjM4OTM5OSAtMC4yNzY3NzUsMC43MTYzNTc4IC0wLjg0NjYwNSwxLjI2NDQ4IC0wLjY1MTIzNCwwLjYyOTUyNjYgLTEuNTYyOTYyLDAuODk1NDQ3MyAtMC45MTE3MjgsMC4yNjA0OTM3IC0yLjczNTE4NSwwLjI2MDQ5MzcgaCAtMi4yMDMzNDMgeiBtIC04LjE0NTg1NjUsMCBoIDMuNDY3ODIzIHEgMS41NDY2ODE2LDAgMi4zNzE1Nzg1LDAuNjg5MjIzIDAuODMwMzI0LDAuNjgzNzk2MSAwLjgzMDMyNCwxLjk1MzcwMzE0IDAsMS4yNzUzMzM5NyAtMC44MzAzMjQsMS45NjQ1NTcwNiBRIDkuOTg3MTk2MSwyLjI3NDkxNSA4LjQ0MDUxNDUsMi4yNzQ5MTUgSCA3LjA2MjA2ODQgViA1LjA4NjA3NjcgSCA0Ljk3MjY5MTUgWiBtIDIuMDg5Mzc2OSwxLjUxNDExOTkgdiAyLjI2MzAzOTQzIGggMS4xNTU5NDEgcSAwLjYwNzgxODgsMCAwLjkzODg2MjksLTAuMjkzMDU1NDcgMC4zMzEwNDQxLC0wLjI5ODQ4MjQxIDAuMzMxMDQ0MSwtMC44NDExNzc3MiAwLC0wLjU0MjY5NTMxIC0wLjMzMTA0NDEsLTAuODM1NzUwNzQgLTAuMzMxMDQ0MSwtMC4yOTMwNTU1IC0wLjkzODg2MjksLTAuMjkzMDU1NSB6IgovPgo8L3N2Zz4K);
+  --jp-icon-python: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iLTEwIC0xMCAxMzEuMTYxMzYxNjk0MzM1OTQgMTMyLjM4ODk5OTkzODk2NDg0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMzA2OTk4IiBkPSJNIDU0LjkxODc4NSw5LjE5Mjc0MjFlLTQgQyA1MC4zMzUxMzIsMC4wMjIyMTcyNyA0NS45NTc4NDYsMC40MTMxMzY5NyA0Mi4xMDYyODUsMS4wOTQ2NjkzIDMwLjc2MDA2OSwzLjA5OTE3MzEgMjguNzAwMDM2LDcuMjk0NzcxNCAyOC43MDAwMzUsMTUuMDMyMTY5IHYgMTAuMjE4NzUgaCAyNi44MTI1IHYgMy40MDYyNSBoIC0yNi44MTI1IC0xMC4wNjI1IGMgLTcuNzkyNDU5LDAgLTE0LjYxNTc1ODgsNC42ODM3MTcgLTE2Ljc0OTk5OTgsMTMuNTkzNzUgLTIuNDYxODE5OTgsMTAuMjEyOTY2IC0yLjU3MTAxNTA4LDE2LjU4NjAyMyAwLDI3LjI1IDEuOTA1OTI4Myw3LjkzNzg1MiA2LjQ1NzU0MzIsMTMuNTkzNzQ4IDE0LjI0OTk5OTgsMTMuNTkzNzUgaCA5LjIxODc1IHYgLTEyLjI1IGMgMCwtOC44NDk5MDIgNy42NTcxNDQsLTE2LjY1NjI0OCAxNi43NSwtMTYuNjU2MjUgaCAyNi43ODEyNSBjIDcuNDU0OTUxLDAgMTMuNDA2MjUzLC02LjEzODE2NCAxMy40MDYyNSwtMTMuNjI1IHYgLTI1LjUzMTI1IGMgMCwtNy4yNjYzMzg2IC02LjEyOTk4LC0xMi43MjQ3NzcxIC0xMy40MDYyNSwtMTMuOTM3NDk5NyBDIDY0LjI4MTU0OCwwLjMyNzk0Mzk3IDU5LjUwMjQzOCwtMC4wMjAzNzkwMyA1NC45MTg3ODUsOS4xOTI3NDIxZS00IFogbSAtMTQuNSw4LjIxODc1MDEyNTc5IGMgMi43Njk1NDcsMCA1LjAzMTI1LDIuMjk4NjQ1NiA1LjAzMTI1LDUuMTI0OTk5NiAtMmUtNiwyLjgxNjMzNiAtMi4yNjE3MDMsNS4wOTM3NSAtNS4wMzEyNSw1LjA5Mzc1IC0yLjc3OTQ3NiwtMWUtNiAtNS4wMzEyNSwtMi4yNzc0MTUgLTUuMDMxMjUsLTUuMDkzNzUgLTEwZS03LC0yLjgyNjM1MyAyLjI1MTc3NCwtNS4xMjQ5OTk2IDUuMDMxMjUsLTUuMTI0OTk5NiB6Ii8+CiAgPHBhdGggY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI2ZmZDQzYiIgZD0ibSA4NS42Mzc1MzUsMjguNjU3MTY5IHYgMTEuOTA2MjUgYyAwLDkuMjMwNzU1IC03LjgyNTg5NSwxNi45OTk5OTkgLTE2Ljc1LDE3IGggLTI2Ljc4MTI1IGMgLTcuMzM1ODMzLDAgLTEzLjQwNjI0OSw2LjI3ODQ4MyAtMTMuNDA2MjUsMTMuNjI1IHYgMjUuNTMxMjQ3IGMgMCw3LjI2NjM0NCA2LjMxODU4OCwxMS41NDAzMjQgMTMuNDA2MjUsMTMuNjI1MDA0IDguNDg3MzMxLDIuNDk1NjEgMTYuNjI2MjM3LDIuOTQ2NjMgMjYuNzgxMjUsMCA2Ljc1MDE1NSwtMS45NTQzOSAxMy40MDYyNTMsLTUuODg3NjEgMTMuNDA2MjUsLTEzLjYyNTAwNCBWIDg2LjUwMDkxOSBoIC0yNi43ODEyNSB2IC0zLjQwNjI1IGggMjYuNzgxMjUgMTMuNDA2MjU0IGMgNy43OTI0NjEsMCAxMC42OTYyNTEsLTUuNDM1NDA4IDEzLjQwNjI0MSwtMTMuNTkzNzUgMi43OTkzMywtOC4zOTg4ODYgMi42ODAyMiwtMTYuNDc1Nzc2IDAsLTI3LjI1IC0xLjkyNTc4LC03Ljc1NzQ0MSAtNS42MDM4NywtMTMuNTkzNzUgLTEzLjQwNjI0MSwtMTMuNTkzNzUgeiBtIC0xNS4wNjI1LDY0LjY1NjI1IGMgMi43Nzk0NzgsM2UtNiA1LjAzMTI1LDIuMjc3NDE3IDUuMDMxMjUsNS4wOTM3NDcgLTJlLTYsMi44MjYzNTQgLTIuMjUxNzc1LDUuMTI1MDA0IC01LjAzMTI1LDUuMTI1MDA0IC0yLjc2OTU1LDAgLTUuMDMxMjUsLTIuMjk4NjUgLTUuMDMxMjUsLTUuMTI1MDA0IDJlLTYsLTIuODE2MzMgMi4yNjE2OTcsLTUuMDkzNzQ3IDUuMDMxMjUsLTUuMDkzNzQ3IHoiLz4KPC9zdmc+Cg==);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjE5NkYzIiBkPSJNNC40IDIuNWMxLjItLjEgMi45LS4zIDQuOS0uMyAyLjUgMCA0LjEuNCA1LjIgMS4zIDEgLjcgMS41IDEuOSAxLjUgMy41IDAgMi0xLjQgMy41LTIuOSA0LjEgMS4yLjQgMS43IDEuNiAyLjIgMyAuNiAxLjkgMSAzLjkgMS4zIDQuNmgtMy44Yy0uMy0uNC0uOC0xLjctMS4yLTMuN3MtMS4yLTIuNi0yLjYtMi42aC0uOXY2LjRINC40VjIuNXptMy43IDYuOWgxLjRjMS45IDAgMi45LS45IDIuOS0yLjNzLTEtMi4zLTIuOC0yLjNjLS43IDAtMS4zIDAtMS42LjJ2NC41aC4xdi0uMXoiLz4KPC9zdmc+Cg==);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkuNDMgMTIuOThjLjA0LS4zMi4wNy0uNjQuMDctLjk4cy0uMDMtLjY2LS4wNy0uOThsMi4xMS0xLjY1Yy4xOS0uMTUuMjQtLjQyLjEyLS42NGwtMi0zLjQ2Yy0uMTItLjIyLS4zOS0uMy0uNjEtLjIybC0yLjQ5IDFjLS41Mi0uNC0xLjA4LS43My0xLjY5LS45OGwtLjM4LTIuNjVBLjQ4OC40ODggMCAwMDE0IDJoLTRjLS4yNSAwLS40Ni4xOC0uNDkuNDJsLS4zOCAyLjY1Yy0uNjEuMjUtMS4xNy41OS0xLjY5Ljk4bC0yLjQ5LTFjLS4yMy0uMDktLjQ5IDAtLjYxLjIybC0yIDMuNDZjLS4xMy4yMi0uMDcuNDkuMTIuNjRsMi4xMSAxLjY1Yy0uMDQuMzItLjA3LjY1LS4wNy45OHMuMDMuNjYuMDcuOThsLTIuMTEgMS42NWMtLjE5LjE1LS4yNC40Mi0uMTIuNjRsMiAzLjQ2Yy4xMi4yMi4zOS4zLjYxLjIybDIuNDktMWMuNTIuNCAxLjA4LjczIDEuNjkuOThsLjM4IDIuNjVjLjAzLjI0LjI0LjQyLjQ5LjQyaDRjLjI1IDAgLjQ2LS4xOC40OS0uNDJsLjM4LTIuNjVjLjYxLS4yNSAxLjE3LS41OSAxLjY5LS45OGwyLjQ5IDFjLjIzLjA5LjQ5IDAgLjYxLS4yMmwyLTMuNDZjLjEyLS4yMi4wNy0uNDktLjEyLS42NGwtMi4xMS0xLjY1ek0xMiAxNS41Yy0xLjkzIDAtMy41LTEuNTctMy41LTMuNXMxLjU3LTMuNSAzLjUtMy41IDMuNSAxLjU3IDMuNSAzLjUtMS41NyAzLjUtMy41IDMuNXoiLz4KPC9zdmc+Cg==);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.7.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      maxEdges: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
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+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f1cdbc9c-a28f-481d-b082-326fde573afb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Group-Assignment-1.7:-Distribution-Fitting">Group Assignment 1.7: Distribution Fitting<a class="anchor-link" href="#Group-Assignment-1.7:-Distribution-Fitting">¶</a></h1><h1 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0">
+<style>
+        .markdown {width:100%; position: relative}
+        article { position: relative }
+    </style>
+<img alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png" style="width:100px; height: auto; margin: 0"/>
+<img alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png" style="width:100px; height: auto; margin: 0"/>
+</h1>
+<h2 style="height: 10px">
+</h2>
+<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: Week 7, Friday Oct 18, 2024.</em></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b26d81da-b5a7-44b0-8049-eec218ab84e2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Case-2:-$CO_2$-emissions-from-traffic">Case 2: $CO_2$ emissions from traffic<a class="anchor-link" href="#Case-2:-$CO_2$-emissions-from-traffic">¶</a></h2><p>**What's the propagated uncertainty? *How large will be the $CO_2$ emissions?***</p>
+<p>In this project, you have chosen to work on the uncertainty of the number of cars and heavy vehicles to estimate their $CO_2$ emissions. You have observations every five minutes of the number of cars, $C$, and the number of heavy vehicles, $H$ (more on the dataset <a href="https://www.kaggle.com/datasets/hasibullahaman/traffic-prediction-dataset">here</a>). As you know, traffic is an important source of $CO_2$ emissions that contribute to the greenhouse effect. Here, the emitted $CO_2$ will be estimated for a trip of 1km using the emissions intensities from <a href="https://sumitomoelectric.com/sites/default/files/2023-10/download_documents/E97-03.pdf">Nishimura and Haga (2023)</a>, assuming that the cars use gasolite as fuel and the heavy vehicles, diesel. Emissions can be computed as</p>
+<p>$$
+CO2 = 143 C + 469 H
+$$</p>
+<p><strong>The goal of this project is:</strong></p>
+<ol>
+<li>Choose a reasonable distribution function for $H$ and $C$.</li>
+<li>Fit the chosen distributions to the observations of $H$ and $C$.</li>
+<li>Assuming $H$ and $C$ are independent, propagate their distributions to obtain the distribution of emissions of $CO_2$.</li>
+<li>Analyze the distribution of emissions of $CO_2$.</li>
+</ol>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d33f1148-c72b-4c7e-bca7-45973b2570c5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Importing-packages">Importing packages<a class="anchor-link" href="#Importing-packages">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=4fc6e87d-c66e-43df-a937-e969acc409f8">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span> 
+<span class="kn">from</span> <span class="nn">math</span> <span class="kn">import</span> <span class="n">ceil</span><span class="p">,</span> <span class="n">trunc</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">'font.size'</span><span class="p">:</span> <span class="mi">14</span><span class="p">})</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1ee42f39">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="1.-Explore-the-data">1. Explore the data<a class="anchor-link" href="#1.-Explore-the-data">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=27fd05f1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>First step in the analysis is exploring the data, visually and through its statistics.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a2f08dc7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Import</span>
+<span class="n">C</span><span class="p">,</span> <span class="n">H</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">genfromtxt</span><span class="p">(</span><span class="s1">'dataset_traffic.csv'</span><span class="p">,</span> <span class="n">delimiter</span><span class="o">=</span><span class="s2">","</span><span class="p">,</span> <span class="n">unpack</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">skip_header</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># plot time series</span>
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">7</span><span class="p">),</span> <span class="n">layout</span> <span class="o">=</span> <span class="s1">'constrained'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">H</span><span class="p">,</span><span class="s1">'k'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Time'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Number of heavy vehicles, H'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">C</span><span class="p">,</span><span class="s1">'k'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Time'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Number of cars, C'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a2a69142">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Statistics for H</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">H</span><span class="p">))</span>
+<span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">H</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>DescribeResult(nobs=2976, minmax=(np.float64(0.0), np.float64(68.0)), mean=np.float64(30.604502688172044), variance=np.float64(151.77932761814404), skewness=np.float64(0.12898824408904086), kurtosis=np.float64(-0.4573152711666002))
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6f9fb23c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Statistics for d</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">C</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>DescribeResult(nobs=2976, minmax=(np.float64(6.0), np.float64(180.0)), mean=np.float64(68.69657258064517), variance=np.float64(2102.2860521143944), skewness=np.float64(0.29528679621238874), kurtosis=np.float64(-1.1608245630406528))
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bfadcf3f-4578-4809-acdb-625ab3a71f27">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 1:</b>
+<p>Describe the data based on the previous statistics:</p>
+<ul>
+<li>Which variable presents a higher variability?</li>
+<li>What does the skewness coefficient means? Which kind of distribution functions should we consider to fit them?</li></ul></p>
+</div>
+
+
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2e1256ea">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>$C$ presents a higher variance but also a higher mean. If we compute the coefficient of variation to standardize that variability, we obtain $CV(H)=151.8/30.6 = 4.96$ and $CV(C)= 2102.3/68.7 = 30.6$. Thus, $C$ has higher variability than $H$.</li>
+<li>Both $H$ and $C$ have a positive skewness, but close to zero. Thus, the data does not seem to present a clear right tail so we could assume that their distribution is symmetric. An appropriate distribution for $H$ and $C$ would be one which: (1) it is bounded in 0 (no negative values of $H$ or $C$ are physically possible), and (2) is symmetric. If we consider the distributions that you have been introduced to, Uniform or Gaussian (although this is not bounded) would be a possibility</li></ul></div>
+</div>
+
+
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d4886ae8">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="2.-Empirical-distribution-functions">2. Empirical distribution functions<a class="anchor-link" href="#2.-Empirical-distribution-functions">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0609e0a6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now, we are going to compute and plot the empirical PDF and CDF for each variable. Note that you have the pseudo-code for the empirical CDF in the <a href="https://mude.citg.tudelft.nl/book/probability/empirical.html">reader</a>.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b20641d9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 2:</b>
+<p>Define a function to compute the empirical CDF. Plot the empirical PDF and CDF.</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=3a47f881">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ecdf</span><span class="p">(</span><span class="n">var</span><span class="p">):</span>
+    <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">var</span><span class="p">)</span> <span class="c1"># sort the values from small to large</span>
+    <span class="n">n</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">size</span> <span class="c1"># determine the number of datapoints</span>
+    <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">n</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
+    <span class="k">return</span> <span class="p">[</span><span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=31ef8aaf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [29]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">H</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'cornflowerblue'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Number of heavy vehicles, H'</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Random variable (X)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'density'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">C</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Number of cars, C'</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'PDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'cornflowerblue'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Number of heavy vehicles, H'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Random variable (X)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X \\leq x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Number of cars, C'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'CDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f364c8cd">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 3:</b>
+<p>Based on the results of Task 1 and the empirical PDF and CDF, select <b>one</b> distribution to fit to each variable. For $H$, select between Gumbel or Gaussian distribution, while for $C$ choose between Uniform or Lognormal.</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c51252da">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<p>$H$: Gaussian
+$C$: Uniform</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=850d6d0c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="3.-Fitting-a-distribution">3. Fitting a distribution<a class="anchor-link" href="#3.-Fitting-a-distribution">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6a24dbfa">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 4:</b>
+<p>Fit the selected distributions to the observations using MLE.</p>
+</p>
+</div>
+<p>Hint: Use <a href="https://docs.scipy.org/doc/scipy/reference/stats.html">Scipy</a> built in functions (watch out with the parameters definition!).</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9ff84ed1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">params_H</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">H</span><span class="p">)</span>
+<span class="n">params_C</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">uniform</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">C</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=33ad10d9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="4.-Assessing-goodness-of-fit">4. Assessing goodness of fit<a class="anchor-link" href="#4.-Assessing-goodness-of-fit">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=30f5112c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 5:</b>
+<p>Assess the goodness of fit of the selected distribution using:</p>
+<ul>
+<li>One graphical method: QQplot or Logscale. Choose one.</li>
+<li>Kolmogorov-Smirnov test.</li></ul></p>
+</div>
+
+
+<p>Hint: You have Kolmogorov-Smirnov test implemented in <a href="https://docs.scipy.org/doc/scipy/reference/stats.html">Scipy</a>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a344a7cb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [30]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#Graphical method</span>
+
+<span class="c1">#Logscale</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Number of heavy vehicles, H'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="o">*</span><span class="n">params_H</span><span class="p">),</span>
+             <span class="s1">'--'</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gaussian'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Number of heavy vehicles, H'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'H'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Number of cars, C'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">stats</span><span class="o">.</span><span class="n">uniform</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="o">*</span><span class="n">params_C</span><span class="p">),</span>
+             <span class="s1">'--'</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Uniform'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Number of cars, C'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'C'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=41e96047">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># QQplot</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))],</span> <span class="p">[</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))],</span> <span class="s1">'k'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="o">*</span><span class="n">params_H</span><span class="p">),</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gaussian'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Observed H (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Estimated H (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'H'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">C</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">C</span><span class="p">))],</span> <span class="p">[</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">C</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">C</span><span class="p">))],</span> <span class="s1">'k'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">stats</span><span class="o">.</span><span class="n">uniform</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">C</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="o">*</span><span class="n">params_C</span><span class="p">),</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Uniform'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Observed C (s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Estimated C (s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'C'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">C</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">C</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">C</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">C</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
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+</div>
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+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=d6057bb2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#KStest</span>
+
+<span class="n">_</span><span class="p">,</span> <span class="n">p_H</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kstest</span><span class="p">(</span><span class="n">H</span><span class="p">,</span><span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">cdf</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="n">params_H</span><span class="p">)</span>
+<span class="n">_</span><span class="p">,</span> <span class="n">p_C</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kstest</span><span class="p">(</span><span class="n">C</span><span class="p">,</span><span class="n">stats</span><span class="o">.</span><span class="n">uniform</span><span class="o">.</span><span class="n">cdf</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="n">params_C</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The p-value for the fitted Gaussian distribution to H is:'</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">p_H</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The p-value for the fitted Uniform distribution to C is:'</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">p_C</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
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+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>The p-value for the fitted Gaussian distribution to H is: 0.001
+The p-value for the fitted Uniform distribution to C is: 0.0
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ad185d88">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 6:</b>
+<p>Interpret the results of the GOF techniques. How does the selected parametric distribution perform?</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b055b5d3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>Logscale plot: This technique allows to visually assess the fitting of the parametric distribution to the tail of the empirical distribution. We can confirm here that $H$ and $C$ present pretty symmetric distributions, as Gaussian and Uniform distribution capture pretty well the behavior in the tail. </li>
+<li>QQplot: Gaussian distribution provides a very good fitting for $H$ regardless if we are analyzing the central moments or the tails. On the contrary, Uniform distribution performs poorly for $C$ as the observations are far from the 45-degrees line all along the analyzed range of values.</li>
+<li>Kolmogorov-Smirnov test: remember that the test statistic measures the difference between two distributions. The p-value then represents the probability of observing a difference at least that large for a sample from the assumed distribution. If p-value is lower than the significance ($\alpha=0.05$, for instance), the null hypothesis is rejected. Considering here $\alpha=0.05$, we can reject that the variable $H$ comes from a Gaussian distribution and that $C$ comes from a Uniform distribution. However, visually, the Gaussian distribution seems a pretty good fit for $H$.</li></ul></div>
+</div>
+
+
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=12fbd5cf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="5.-Propagating-the-uncertainty">5. Propagating the uncertainty<a class="anchor-link" href="#5.-Propagating-the-uncertainty">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a3ee90f7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Using the fitted distributions, we are going to propagate the uncertainty from $H$ and $C$ to the emissions of $CO_2$ <strong>assuming that $H$ and $C$ are independent</strong>.</p>
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 7:</b>
+<ol>
+<li><p>Draw 10,000 random samples from the fitted distribution functions for $H$ and $C$.</p>
+</li>
+<li><p>Compute emissions of $CO_2$ for each pair of samples.</p>
+</li>
+<li><p>Compute emissions of $CO_2$ for the observations.</p>
+</li>
+<li><p>Plot the PDF and exceedance curve in logscale of the emissions of $CO_2$ computed using both the simulations and the observations.</p>
+</li></ol></p>
+</div>
+
+
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c200a7b5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Here, the solution is shown for the Lognormal distribution</span>
+
+<span class="c1"># Draw random samples</span>
+<span class="n">rs_H</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="o">*</span><span class="n">params_H</span><span class="p">,</span> <span class="n">size</span> <span class="o">=</span> <span class="mi">10000</span><span class="p">)</span>
+<span class="n">rs_C</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">uniform</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="o">*</span><span class="n">params_C</span><span class="p">,</span> <span class="n">size</span> <span class="o">=</span> <span class="mi">10000</span><span class="p">)</span>
+
+<span class="c1">#Compute Fh</span>
+<span class="n">rs_CO2</span> <span class="o">=</span> <span class="mi">469</span> <span class="o">*</span> <span class="n">rs_H</span> <span class="o">+</span> <span class="mi">143</span> <span class="o">*</span> <span class="n">rs_C</span>
+
+<span class="c1">#repeat for observations</span>
+<span class="n">CO2</span> <span class="o">=</span> <span class="mi">469</span> <span class="o">*</span> <span class="n">H</span> <span class="o">+</span> <span class="mi">143</span> <span class="o">*</span> <span class="n">C</span>
+
+<span class="c1">#plot the PDF and the CDF</span>
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">rs_CO2</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">CO2</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">facecolor</span> <span class="o">=</span> <span class="s1">'orange'</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
+             <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Emissions of CO2 (g)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'density'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'PDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">rs_CO2</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">rs_CO2</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">CO2</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">CO2</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'orange'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Emissions of CO2 (g)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Exceedance plot'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f0841e5c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 8:</b>
+<p>Interpret the figures above, answering the following questions:
+<li>Are there differences between the two computed distributions for $F_h$?</li>
+<li>What are the advantages and disadvantages of using the simulations?</li></p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9f197190">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>In the PDF plot, we can see that the shape of the distribution is similar although the mode of the simulations is higher than that of the observations. In the CDF plot, we can also see that shift of the distribution of $CO2$ towards higher values when using the simulations. Thus, for the same probability, higher values of $CO2$ would be obtained from the simulated distribution being on the safety side. </li>
+<li><b>Disadvantages:</b> we are assuming that $H$ and $C$ are independent (we will see how to address this issue next week). But is that true? Also, the results are conditioned to how good model is the selected parametric distribution. In this case, since the Uniform distribution performs poorly for $C$, the obtained distribution for $CO2$ deviates from the one obtained from the observations. <b>Advantages:</b> I can draw all the samples I want allowing the computation of events I have not observed yet (extreme events).</li></ul></div>
+</div>
+
+
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=be79ff26">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>If you run the code in the cell below, you will obtain a scatter plot of both variables. Explore the relationship between both variables and answer the following questions:</p>
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 9:</b>
+<ol>
+<li><p>Observe the plot below. What differences do you observe between the generated samples and the observations?</p>
+</li>
+<li><p>Compute the correlation between $H$ and $C$ for the samples and for the observartions. Are there differences?</p>
+</li>
+<li><p>What can you improve into the previous analysis? Do you have any ideas/suggestions on how to implement those suggestions?</p>
+</li></ol></p>
+</div>
+
+
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=00914bab">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">rs_H</span><span class="p">,</span> <span class="n">rs_C</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'Simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">H</span><span class="p">,</span> <span class="n">C</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">,</span><span class="s1">'x'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'Observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Number of heavy vehicles, H '</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Number of cars, C'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=3fc2cdee">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#Correlation</span>
+<span class="n">correl</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">pearsonr</span><span class="p">(</span><span class="n">H</span><span class="p">,</span> <span class="n">C</span><span class="p">)</span>
+<span class="n">correl_rs</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">pearsonr</span><span class="p">(</span><span class="n">rs_H</span><span class="p">,</span> <span class="n">rs_C</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The correlation between the observations is:'</span><span class="p">,</span> <span class="n">correl</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The correlation between the simulations is:'</span><span class="p">,</span> <span class="n">correl_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>The correlation between the observations is: 0.2660768676548393
+The correlation between the simulations is: -0.013637688852272484
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=032e2967">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>The observations are focussed in an area of the plot while the simulations are a bit more spread around. This is because the observations are dependent on each other, there is a physical relationship between the number of cars and the number of trucks, while the simulations are assumed to be independent. Moreover, negative numbers for the number of vehicles are sampled, which do not have a physical meaning. </li>
+<li>There is a correlation of 0.27 between the observed $H$ and $C$, indicating dependence between the variables. On the contrary, no significant correlation between the generated samples is observed.</li>
+<li><b>Some suggestions:</b> Improve the fit of $C$ with a different distribution. Account for the dependence between the two variables. </li></ul></div>
+
+
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7e4a0bd9-5e74-4808-a7d1-aa2d3f612bee">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>End of notebook.</strong></p>
+<h2 style="height: 60px">
+</h2>
+<h3 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; bottom: 60px; right: 50px; margin: 0; border: 0">
+<style>
+        .markdown {width:100%; position: relative}
+        article { position: relative }
+    </style>
+<a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="license">
+<img alt="Creative Commons License" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" style="border-width:; width:88px; height:auto; padding-top:10px">
+</img></a>
+<a href="https://www.tudelft.nl/en/ceg" rel="TU Delft">
+<img alt="TU Delft" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png" style="border-width:0; width:100px; height:auto; padding-bottom:0px">
+</img></a>
+<a href="http://mude.citg.tudelft.nl/" rel="MUDE">
+<img alt="MUDE" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png" style="border-width:0; width:100px; height:auto; padding-bottom:0px">
+</img></a>
+</h3>
+<span style="font-size: 75%">
+© Copyright 2023 <a href="https://studiegids.tudelft.nl/a101_displayCourse.do?course_id=65595" rel="MUDE Team">MUDE Teaching Team</a> TU Delft. This work is licensed under a <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="license">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.
+
+
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+</body>
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diff --git a/src/students/GA_1_7/solutions/Analysis_force_solution.html b/src/students/GA_1_7/solutions/Analysis_force_solution.html
new file mode 100644
index 0000000000000000000000000000000000000000..b8cda5fe3d1a4d18b42967958a1d121059f18207
--- /dev/null
+++ b/src/students/GA_1_7/solutions/Analysis_force_solution.html
@@ -0,0 +1,8389 @@
+<!DOCTYPE html>
+
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+.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */
+.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */
+.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */
+.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */
+.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */
+.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */
+.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */
+.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */
+.highlight .pm { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation.Marker */
+.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */
+.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */
+.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */
+.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */
+.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */
+.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */
+.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */
+.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */
+.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */
+.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */
+.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */
+.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */
+.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */
+.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */
+.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */
+.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
+.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
+.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
+.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
+.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
+  </style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+ * Mozilla scrollbar styling
+ */
+
+/* use standard opaque scrollbars for most nodes */
+[data-jp-theme-scrollbars='true'] {
+  scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
+    var(--jp-scrollbar-background-color);
+}
+
+/* for code nodes, use a transparent style of scrollbar. These selectors
+ * will match lower in the tree, and so will override the above */
+[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
+[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+  scrollbar-width: thin;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny::-webkit-scrollbar,
+.jp-scrollbar-tiny::-webkit-scrollbar-corner {
+  background-color: transparent;
+  height: 4px;
+  width: 4px;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
+  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
+  border-left: 0 solid transparent;
+  border-right: 0 solid transparent;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
+  border-top: 0 solid transparent;
+  border-bottom: 0 solid transparent;
+}
+
+/*
+ * Lumino
+ */
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  min-height: 16px;
+  max-height: 16px;
+  min-width: 45px;
+  border-top: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  min-width: 16px;
+  max-width: 16px;
+  min-height: 45px;
+  border-left: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar-button {
+  background-color: #f0f0f0;
+  background-position: center center;
+  min-height: 15px;
+  max-height: 15px;
+  min-width: 15px;
+  max-width: 15px;
+}
+
+.lm-ScrollBar-button:hover {
+  background-color: #dadada;
+}
+
+.lm-ScrollBar-button.lm-mod-active {
+  background-color: #cdcdcd;
+}
+
+.lm-ScrollBar-track {
+  background: #f0f0f0;
+}
+
+.lm-ScrollBar-thumb {
+  background: #cdcdcd;
+}
+
+.lm-ScrollBar-thumb:hover {
+  background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+  background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+  height: 100%;
+  min-width: 15px;
+  border-left: 1px solid #a0a0a0;
+  border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+  width: 100%;
+  min-height: 15px;
+  border-top: 1px solid #a0a0a0;
+  border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-left);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-right);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-up);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-down);
+  background-size: 17px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Widget {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+}
+
+.lm-Widget.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  display: flex;
+  flex-direction: column;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-CommandPalette-search {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  min-height: 0;
+  overflow: auto;
+  list-style-type: none;
+}
+
+.lm-CommandPalette-header {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-CommandPalette-item {
+  display: flex;
+  flex-direction: row;
+}
+
+.lm-CommandPalette-itemIcon {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemContent {
+  flex: 1 1 auto;
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemLabel {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-close-icon {
+  border: 1px solid transparent;
+  background-color: transparent;
+  position: absolute;
+  z-index: 1;
+  right: 3%;
+  top: 0;
+  bottom: 0;
+  margin: auto;
+  padding: 7px 0;
+  display: none;
+  vertical-align: middle;
+  outline: 0;
+  cursor: pointer;
+}
+.lm-close-icon:after {
+  content: 'X';
+  display: block;
+  width: 15px;
+  height: 15px;
+  text-align: center;
+  color: #000;
+  font-weight: normal;
+  font-size: 12px;
+  cursor: pointer;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-DockPanel {
+  z-index: 0;
+}
+
+.lm-DockPanel-widget {
+  z-index: 0;
+}
+
+.lm-DockPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-DockPanel-handle {
+  z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+  cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+  cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+  z-index: 3;
+  box-sizing: border-box;
+  pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
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+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-extension: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwLjUgMTFIMTlWN2MwLTEuMS0uOS0yLTItMmgtNFYzLjVDMTMgMi4xMiAxMS44OCAxIDEwLjUgMVM4IDIuMTIgOCAzLjVWNUg0Yy0xLjEgMC0xLjk5LjktMS45OSAydjMuOEgzLjVjMS40OSAwIDIuNyAxLjIxIDIuNyAyLjdzLTEuMjEgMi43LTIuNyAyLjdIMlYyMGMwIDEuMS45IDIgMiAyaDMuOHYtMS41YzAtMS40OSAxLjIxLTIuNyAyLjctMi43IDEuNDkgMCAyLjcgMS4yMSAyLjcgMi43VjIySDE3YzEuMSAwIDItLjkgMi0ydi00aDEuNWMxLjM4IDAgMi41LTEuMTIgMi41LTIuNVMyMS44OCAxMSAyMC41IDExeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiNGRkYiPgogICAgPHBhdGggZD0iTTE0LDEyVjE5Ljg4QzE0LjA0LDIwLjE4IDEzLjk0LDIwLjUgMTMuNzEsMjAuNzFDMTMuMzIsMjEuMSAxMi42OSwyMS4xIDEyLjMsMjAuNzFMMTAuMjksMTguN0MxMC4wNiwxOC40NyA5Ljk2LDE4LjE2IDEwLDE3Ljg3VjEySDkuOTdMNC4yMSw0LjYyQzMuODcsNC4xOSAzLjk1LDMuNTYgNC4zOCwzLjIyQzQuNTcsMy4wOCA0Ljc4LDMgNSwzVjNIMTlWM0MxOS4yMiwzIDE5LjQzLDMuMDggMTkuNjIsMy4yMkMyMC4wNSwzLjU2IDIwLjEzLDQuMTkgMTkuNzksNC42MkwxNC4wMywxMkgxNFoiIC8+CiAgPC9nPgogIDxnIGNsYXNzPSJqcC1pY29uLWRvdCIgZmlsbD0iI0ZGRiI+CiAgICA8Y2lyY2xlIGN4PSIxOCIgY3k9IjE3IiByPSIzIj48L2NpcmNsZT4KICA8L2c+Cjwvc3ZnPgo=);
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+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,PHN2ZwogICB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMiAyMiIgd2lkdGg9IjE2Ij4KICAgIDxwYXRoIHRyYW5zZm9ybT0icm90YXRlKDQ1KSIgY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0ZGMkEyQSIKICAgICAgIGQ9Im0gMjIuMzQ0MzY5LC0zLjAxNjM2NDIgaCA1LjYzODYwNCB2IDEuNTc5MjQzMyBoIC0zLjU0OTIyNyB2IDEuNTA4NjkyOTkgaCAzLjMzNzU3NiBWIDEuNjUwODE1NCBoIC0zLjMzNzU3NiB2IDMuNDM1MjYxMyBoIC0yLjA4OTM3NyB6IG0gLTcuMTM2NDQ0LDEuNTc5MjQzMyB2IDQuOTQzOTU0MyBoIDAuNzQ4OTIgcSAxLjI4MDc2MSwwIDEuOTUzNzAzLC0wLjYzNDk1MzUgMC42NzgzNjksLTAuNjM0OTUzNSAwLjY3ODM2OSwtMS44NDUxNjQxIDAsLTEuMjA0NzgzNTUgLTAuNjcyOTQyLC0xLjgzNDMxMDExIC0wLjY3Mjk0MiwtMC42Mjk1MjY1OSAtMS45NTkxMywtMC42Mjk1MjY1OSB6IG0gLTIuMDg5Mzc3LC0xLjU3OTI0MzMgaCAyLjIwMzM0MyBxIDEuODQ1MTY0LDAgMi43NDYwMzksMC4yNjU5MjA3IDAuOTA2MzAxLDAuMjYwNDkzNyAxLjU1MjEwOCwwLjg5MDAyMDMgMC41Njk4MywwLjU0ODEyMjMgMC44NDY2MDUsMS4yNjQ0ODAwNiAwLjI3Njc3NCwwLjcxNjM1NzgxIDAuMjc2Nzc0LDEuNjIyNjU4OTQgMCwwLjkxNzE1NTEgLTAuMjc2Nzc0LDEuNjM4OTM5OSAtMC4yNzY3NzUsMC43MTYzNTc4IC0wLjg0NjYwNSwxLjI2NDQ4IC0wLjY1MTIzNCwwLjYyOTUyNjYgLTEuNTYyOTYyLDAuODk1NDQ3MyAtMC45MTE3MjgsMC4yNjA0OTM3IC0yLjczNTE4NSwwLjI2MDQ5MzcgaCAtMi4yMDMzNDMgeiBtIC04LjE0NTg1NjUsMCBoIDMuNDY3ODIzIHEgMS41NDY2ODE2LDAgMi4zNzE1Nzg1LDAuNjg5MjIzIDAuODMwMzI0LDAuNjgzNzk2MSAwLjgzMDMyNCwxLjk1MzcwMzE0IDAsMS4yNzUzMzM5NyAtMC44MzAzMjQsMS45NjQ1NTcwNiBRIDkuOTg3MTk2MSwyLjI3NDkxNSA4LjQ0MDUxNDUsMi4yNzQ5MTUgSCA3LjA2MjA2ODQgViA1LjA4NjA3NjcgSCA0Ljk3MjY5MTUgWiBtIDIuMDg5Mzc2OSwxLjUxNDExOTkgdiAyLjI2MzAzOTQzIGggMS4xNTU5NDEgcSAwLjYwNzgxODgsMCAwLjkzODg2MjksLTAuMjkzMDU1NDcgMC4zMzEwNDQxLC0wLjI5ODQ4MjQxIDAuMzMxMDQ0MSwtMC44NDExNzc3MiAwLC0wLjU0MjY5NTMxIC0wLjMzMTA0NDEsLTAuODM1NzUwNzQgLTAuMzMxMDQ0MSwtMC4yOTMwNTU1IC0wLjkzODg2MjksLTAuMjkzMDU1NSB6IgovPgo8L3N2Zz4K);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbi1jb250cmFzdDIganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjRDgxQjYwIj4KICAgIDxwYXRoIGQ9Ik03LjIgMTguNnYtNS40TDMgNS42aDMuM2wxLjQgMy4xYy4zLjkuNiAxLjYgMSAyLjUuMy0uOC42LTEuNiAxLTIuNWwxLjQtMy4xaDMuNGwtNC40IDcuNnY1LjVsLTIuOS0uMXoiLz4KICAgIDxjaXJjbGUgY2xhc3M9InN0MCIgY3g9IjE3LjYiIGN5PSIxNi41IiByPSIyLjEiLz4KICAgIDxjaXJjbGUgY2xhc3M9InN0MCIgY3g9IjE3LjYiIGN5PSIxMSIgcj0iMi4xIi8+CiAgPC9nPgo8L3N2Zz4K);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
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+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f1cdbc9c-a28f-481d-b082-326fde573afb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Group-Assignment-1.7:-Distribution-Fitting">Group Assignment 1.7: Distribution Fitting<a class="anchor-link" href="#Group-Assignment-1.7:-Distribution-Fitting">¶</a></h1><h1 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0">
+<style>
+        .markdown {width:100%; position: relative}
+        article { position: relative }
+    </style>
+<img alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png" style="width:100px; height: auto; margin: 0"/>
+<img alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png" style="width:100px; height: auto; margin: 0"/>
+</h1>
+<h2 style="height: 10px">
+</h2>
+<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: Week 7, Friday Oct 18, 2024.</em></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b26d81da-b5a7-44b0-8049-eec218ab84e2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Case-1:-Wave-impacts-on-a-crest-wall">Case 1: Wave impacts on a crest wall<a class="anchor-link" href="#Case-1:-Wave-impacts-on-a-crest-wall">¶</a></h2><p><strong>What's the propagated uncertainty? *How large will the horizontal force be?</strong>*</p>
+<p>In this project, you have chosen to work on the uncertainty of wave periods and wave heights in the Alboran sea to estimate the impacts on a crest wall: a concrete element installed on top of mound breakwater. You have observations from buoys of the significant wave height ($H$) and the peak wave period ($T$) each hour for several years. As you know, $H$ and $T$ are hydrodynamic variables relevant to estimate wave impacts on the structure. The maximum horizontal force (exceeded by 0.1% of incoming waves) can be estimated using the following equation (USACE, 2002).</p>
+$$
+F_h = \left( A_1 + A_2 \frac{H}{A_c} \right) \rho g C_h L_{0p}
+$$<p>where $A_1=-0.016$ and $A_2=0.025$ are coefficients that depend on the geometry of the structure, $A_c=3m$ is the elevation of the frontal berm of the structure, $\rho$ is the density of water, $g$ is the gravity acceleration, $C_h=2m$ is the crown wall height, and $L_{0p}=\frac{gT^2}{2\pi}$ is the wave length in deep waves. Thus, the previous equation is reduced to</p>
+$$
+F_h = 255.4 H T^2 -490.4 T^2
+$$<p><strong>The goal of this project is:</strong></p>
+<ol>
+<li>Choose a reasonable distribution function for $H$ and $T$.</li>
+<li>Fit the chosen distributions to the observations of $H$ and $T$.</li>
+<li>Assuming $H$ and $T$ are independent, propagate their distributions to obtain the distribution of $F_h$.</li>
+<li>Analyze the distribution of $F_h$.</li>
+</ol>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d33f1148-c72b-4c7e-bca7-45973b2570c5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Importing-packages">Importing packages<a class="anchor-link" href="#Importing-packages">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=4fc6e87d-c66e-43df-a937-e969acc409f8">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span> 
+<span class="kn">from</span> <span class="nn">math</span> <span class="kn">import</span> <span class="n">ceil</span><span class="p">,</span> <span class="n">trunc</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">'font.size'</span><span class="p">:</span> <span class="mi">14</span><span class="p">})</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1ee42f39">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="1.-Explore-the-data">1. Explore the data<a class="anchor-link" href="#1.-Explore-the-data">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=27fd05f1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>First step in the analysis is exploring the data, visually and through its statistics.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a2f08dc7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Import</span>
+<span class="n">_</span><span class="p">,</span> <span class="n">H</span><span class="p">,</span> <span class="n">T</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">genfromtxt</span><span class="p">(</span><span class="s1">'dataset_HT.csv'</span><span class="p">,</span> <span class="n">delimiter</span><span class="o">=</span><span class="s2">","</span><span class="p">,</span> <span class="n">unpack</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">skip_header</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># plot time series</span>
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">7</span><span class="p">),</span> <span class="n">layout</span> <span class="o">=</span> <span class="s1">'constrained'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">H</span><span class="p">,</span><span class="s1">'k'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Time'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Wave height, H (m)'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">T</span><span class="p">,</span><span class="s1">'k'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Time'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Water period, T (s)'</span><span class="p">)</span>
+<span class="n">ax</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
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+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a2a69142">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Statistics for H</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">H</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>DescribeResult(nobs=582755, minmax=(0.04, 9.19), mean=1.296410395449203, variance=0.6644958817096485, skewness=1.7333548566943697, kurtosis=4.692941566067729)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6f9fb23c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Statistics for d</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">stats</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">T</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>DescribeResult(nobs=582755, minmax=(2.02, 16.71), mean=6.861141165669963, variance=4.710342223823444, skewness=0.7832887838396299, kurtosis=0.17655975523967093)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bfadcf3f-4578-4809-acdb-625ab3a71f27">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 1:</b>
+<p>Describe the data based on the previous statistics:
+    <li>Which variable presents a higher variability?</li>
+<li>What does the skewness coefficient means? Which kind of distribution functions should we consider to fit them?</li></p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9f0eacae">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Solution:</b>
+<ul>
+<li>$T$ presents a higher variance but a much higher mean. Then, if we compute the coefficient of variation to standardize that variability, we obtain $CV(H)=0.664/1.296 = 0.512$ and $CV(T)= 4.710/6.861 = 0.686.3$. Thus, $T$ has higher variability than $H$.</li>
+<li>Both $H$ and $T$ has a positive non-zero skewness, being the one for $H$ significantly higher. Thus, the data presents a right tail and mode &lt; median &lt; mean. An appropriate distribution for $H$ and $T$ would be one which: (1) it is bounded in 0 (no negative values of $H$ or $T$ are physically possible), and (2) has a positive tail. If we consider the distributions that you have been introduced to, Lognormal, Gumbel or Exponential would be a possibility</li>
+</ul>
+</p></div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d4886ae8">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="2.-Empirical-distribution-functions">2. Empirical distribution functions<a class="anchor-link" href="#2.-Empirical-distribution-functions">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0609e0a6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now, we are going to compute and plot the empirical PDF and CDF for each variable. Note that you have the pseudo-code for the empirical CDF in the <a href="https://mude.citg.tudelft.nl/book/probability/empirical.html">reader</a>.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b20641d9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 2:</b>
+<p>Define a function to compute the empirical CDF. Plot your empirical PDF and CDF.</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=3a47f881">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ecdf</span><span class="p">(</span><span class="n">var</span><span class="p">):</span>
+    <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">var</span><span class="p">)</span> <span class="c1"># sort the values from small to large</span>
+    <span class="n">n</span> <span class="o">=</span> <span class="n">x</span><span class="o">.</span><span class="n">size</span> <span class="c1"># determine the number of datapoints</span>
+    <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">n</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
+    <span class="k">return</span> <span class="p">[</span><span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=31ef8aaf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">H</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'cornflowerblue'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Wave height, H (m)'</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Random variable (X)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'density'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">T</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Wave period, T (s)'</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'PDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'cornflowerblue'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Wave height, H (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Random variable (X)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X \leq x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Wave period, T (s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'CDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
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"/>
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 3:</b>
+<p>Based on the results of Task 1 and the empirical PDF and CDF, select <b>one</b> distribution to fit to each variable. For $H$, select between Exponential or Gaussian distribution, while for $T$ choose between Uniform or Gumbel.</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5a3be381">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<p>$H$: Exponential
+$T$: Gumbel</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=850d6d0c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="3.-Fitting-a-distribution">3. Fitting a distribution<a class="anchor-link" href="#3.-Fitting-a-distribution">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6a24dbfa">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 4:</b>
+<p>Fit the selected distributions to the observations using MLE.</p>
+</p>
+</div>
+<p>Hint: Use <a href="https://docs.scipy.org/doc/scipy/reference/stats.html">Scipy</a> built in functions (watch out with the parameters definition!).</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9ff84ed1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">params_H</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">expon</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">H</span><span class="p">,</span> <span class="n">floc</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">params_T</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">T</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=33ad10d9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="4.-Assessing-goodness-of-fit">4. Assessing goodness of fit<a class="anchor-link" href="#4.-Assessing-goodness-of-fit">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=30f5112c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 5:</b>
+<p>Assess the goodness of fit of the selected distribution using:
+    <li> One graphical method: QQplot or Logscale. Choose one.</li>
+<li> Kolmogorov-Smirnov test.</li></p>
+</p>
+</div>
+<p>Hint: You have Kolmogorov-Smirnov test implemented in <a href="https://docs.scipy.org/doc/scipy/reference/stats.html">Scipy</a>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a344a7cb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#Graphical method</span>
+
+<span class="c1">#Logscale</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Wave height, H'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">stats</span><span class="o">.</span><span class="n">expon</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="o">*</span><span class="n">params_H</span><span class="p">),</span>
+             <span class="s1">'--'</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Exponential'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Wave height, H (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'H'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Wave period, T'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="o">*</span><span class="n">params_T</span><span class="p">),</span>
+             <span class="s1">'--'</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gumbel'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Wave period, T (s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'T'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=89ade6c9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># QQplot</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))],</span> <span class="p">[</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))],</span> <span class="s1">'k'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">stats</span><span class="o">.</span><span class="n">expon</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">H</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="o">*</span><span class="n">params_H</span><span class="p">),</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Exponential'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Observed H (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Estimated H (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'H'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">H</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">H</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">T</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">T</span><span class="p">))],</span> <span class="p">[</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">T</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">T</span><span class="p">))],</span> <span class="s1">'k'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">T</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="o">*</span><span class="n">params_T</span><span class="p">),</span> 
+             <span class="n">color</span><span class="o">=</span><span class="s1">'grey'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Gumbel'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Observed T (s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Estimated T (s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'T'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">T</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">T</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="n">trunc</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">T</span><span class="p">)),</span> <span class="n">ceil</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">T</span><span class="p">))])</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
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+</div>
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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=d6057bb2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#KStest</span>
+
+<span class="n">_</span><span class="p">,</span> <span class="n">p_H</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kstest</span><span class="p">(</span><span class="n">H</span><span class="p">,</span><span class="n">stats</span><span class="o">.</span><span class="n">expon</span><span class="o">.</span><span class="n">cdf</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="n">params_H</span><span class="p">)</span>
+<span class="n">_</span><span class="p">,</span> <span class="n">p_T</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kstest</span><span class="p">(</span><span class="n">T</span><span class="p">,</span><span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">cdf</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="n">params_T</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The p-value for the fitted Gumbel distribution to H is:'</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">p_H</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The p-value for the fitted Uniform distribution to d is:'</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">p_T</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>The p-value for the fitted Gumbel distribution to H is: 0.0
+The p-value for the fitted Uniform distribution to d is: 0.0
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ad185d88">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 6:</b>
+<p>Interpret the results of the GOF techniques. How does the selected parametric distribution perform?</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5775f846">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>Logscale plot: This technique allows to visually assess the fitting of the parametric distribution to the tail of the empirical distribution. For $H$, Exponential distribution performs well for low values. On the contrary, it does not properly model the right tail. It is on the safe side providing predictions higher than those observed. Note that this may lead to predictions of $H$ that are not physically possible. Regarding $T$, the Gumbel distribution seems to follow the low observations and those around the central moments but not those on the right tail. The predictions provided by the Gumbel distribution are on the safe side.</li>
+<li>QQplot: Similar conclusions to those for Logscale can be derived.</li>
+<li>Kolmogorov-Smirnov test: remember that the test statistic measures the difference between two distributions. The p-value then represents the probability of observing a difference at least that large for a sample from the assumed distribution. If p-value is lower than the significance ($\alpha=0.05$, for instance), the null hypothesis is rejected. Considering here $\alpha=0.05$, we can reject that the variable $H$ comes from a Exponential distribution and that $T$ comes from a Gumbel distribution.</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=12fbd5cf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="5.-Propagating-the-uncertainty">5. Propagating the uncertainty<a class="anchor-link" href="#5.-Propagating-the-uncertainty">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a3ee90f7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Using the fitted distributions, we are going to propagate the uncertainty from $H$ and $T$ to $F_h$ <strong>assuming that $H$ and $T$ are independent</strong>.</p>
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 7:</b>
+<ol>
+<li><p>Draw 10,000 random samples from the fitted distribution functions for $H$ and $T$.</p>
+</li>
+<li><p>Compute $F_h$ for each pair of samples.</p>
+</li>
+<li><p>Compute $F_h$ for the observations.</p>
+</li>
+<li><p>Plot the PDF and exceedance curve in logscale of $F_h$ computed using both the simulations and the observations.</p>
+</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c200a7b5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Here, the solution is shown for the Lognormal distribution</span>
+
+<span class="c1"># Draw random samples</span>
+<span class="n">rs_H</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">expon</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="o">*</span><span class="n">params_H</span><span class="p">,</span> <span class="n">size</span> <span class="o">=</span> <span class="mi">10000</span><span class="p">)</span>
+<span class="n">rs_T</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">gumbel_r</span><span class="o">.</span><span class="n">rvs</span><span class="p">(</span><span class="o">*</span><span class="n">params_T</span><span class="p">,</span> <span class="n">size</span> <span class="o">=</span> <span class="mi">10000</span><span class="p">)</span>
+
+<span class="c1">#Compute Fh</span>
+<span class="n">rs_Fh</span> <span class="o">=</span> <span class="mf">255.4</span> <span class="o">*</span> <span class="n">rs_H</span> <span class="o">*</span> <span class="n">rs_T</span><span class="o">**</span><span class="mi">2</span> <span class="o">-</span> <span class="mf">490.4</span><span class="o">*</span><span class="n">rs_T</span><span class="o">**</span><span class="mi">2</span>
+
+<span class="c1">#repeat for observations</span>
+<span class="n">Fh</span> <span class="o">=</span> <span class="mf">255.4</span> <span class="o">*</span> <span class="n">H</span> <span class="o">*</span> <span class="n">T</span><span class="o">**</span><span class="mi">2</span> <span class="o">-</span> <span class="mf">490.4</span><span class="o">*</span><span class="n">T</span><span class="o">**</span><span class="mi">2</span>
+
+<span class="c1">#plot the PDF and the CDF</span>
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">rs_Fh</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">Fh</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">facecolor</span> <span class="o">=</span> <span class="s1">'orange'</span><span class="p">,</span> <span class="n">alpha</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
+             <span class="n">density</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Horizontal force (kN)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'density'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'PDF'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">rs_Fh</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">rs_Fh</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">ecdf</span><span class="p">(</span><span class="n">Fh</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="o">-</span><span class="n">ecdf</span><span class="p">(</span><span class="n">Fh</span><span class="p">)[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span> <span class="o">=</span> <span class="s1">'orange'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'From observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Horizontal force (kN)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'$</span><span class="si">{P[X &gt; x]}</span><span class="s1">$'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Exceedance plot'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
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+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f0841e5c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 8:</b>
+<p>Interpret the figures above, answering the following questions:</p>
+<ul>
+<li>Are there differences between the two computed distributions for $F_h$?</li>
+<li>What are the advantages and disadvantages of using the simulations?</li>
+</ul>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9c0be06d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>In the PDF plot, we can see that the shape of the distribution is similar for $F_h$ although more density around the central moments is concentrated in the simualted data. In the CDF plot, we can see that there are significant differences in the tail of the distribution of $F_h$, being the values from the simulations higher than those computed from the observations. This is because both the Exponential and the Gumbel distribution overpredict the tail of the distributions of $H$ and $T$, respectively.</li>
+<li><b>Disadvantages:</b> we are assuming that $H$ and $T$ are independent (we will see how to address this issue next week). But is that true? Also, the results are conditioned to how good model is the selected parametric distribution. In this case, since the tail of the distributions of $H$ and $T$ are not properly fitted, the obtained distribution for $F_h$ deviates from the one obtained from the observations. <b>Advantages:</b> I can draw all the samples I want allowing the computation of events I have not observed yet (extreme events).</li>
+<li><b>Extra note:</b> The equation you are applying to compute $F_h$ is prepared for extreme waves. Thus, when applied out its range of application, it leads to negative forces which do not have physical meaning.</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0dfa26c3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>If you run the code in the cell below, you will obtain a scatter plot of both variables. Explore the relationship between both variables and answer the following questions:</p>
+<div style="background-color:#AABAB2; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<p>
+<b>Task 9:</b>
+<ol>
+<li><p>Observe the plot below. What differences do you observe between the generated samples and the observations?</p>
+</li>
+<li><p>Compute the correlation between $H$ and $T$ for the samples and for the observartions. Are there differences?</p>
+</li>
+<li><p>What can you improve into the previous analysis? Do you have any ideas/suggestions on how to implement those suggestions?</p>
+</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1c567861">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">rs_H</span><span class="p">,</span> <span class="n">rs_T</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="s1">'k'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'Simulations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">H</span><span class="p">,</span> <span class="n">T</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">,</span><span class="s1">'x'</span><span class="p">,</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">'Observations'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Wave height, H (m)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Wave period, T (s)'</span><span class="p">)</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">axes</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1e491f3d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1">#Correlation</span>
+<span class="n">correl</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">pearsonr</span><span class="p">(</span><span class="n">H</span><span class="p">,</span> <span class="n">T</span><span class="p">)</span>
+<span class="n">correl_rs</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">pearsonr</span><span class="p">(</span><span class="n">rs_H</span><span class="p">,</span> <span class="n">rs_T</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The correlation between the observations is:'</span><span class="p">,</span> <span class="n">correl</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'The correlation between the simulations is:'</span><span class="p">,</span> <span class="n">correl_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>The correlation between the observations is: 0.45579910726205797
+The correlation between the simulations is: -0.0049550215283467956
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=085b4a7a">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#FAE99E; color: black; width:95%; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px">
+<b>Solution:</b>
+<ul>
+<li>The observations are focussed in an area of the plot while the simulations are spreaded all around. this is because the observations are dependent to each other, there is a physical relationship between the wave height and the wave period, while the simualtions were assumed to be independent. </li>
+<li>There is a correlation of 0.46 between the observed $H$ and $T$, indicating the physical dependence between the variables. On the contrary, no significant correlation between the generated samples is observed.</li>
+<li><b>Some suggestions:</b> Improve the fit of $H$ and $T$. Maybe propose Gumbel or Lognormal distribution for $H$ and Lognormal for $T$. Account for the dependence between the two variables. </li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7e4a0bd9-5e74-4808-a7d1-aa2d3f612bee">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>End of notebook.</strong></p>
+<h2 style="height: 60px">
+</h2>
+<h3 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; bottom: 60px; right: 50px; margin: 0; border: 0">
+<style>
+        .markdown {width:100%; position: relative}
+        article { position: relative }
+    </style>
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+<img alt="Creative Commons License" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" style="border-width:; width:88px; height:auto; padding-top:10px">
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+</img></a>
+</h3>
+<span style="font-size: 75%">
+© Copyright 2023 <a href="https://studiegids.tudelft.nl/a101_displayCourse.do?course_id=65595" rel="MUDE Team">MUDE Teaching Team</a> TU Delft. This work is licensed under a <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="license">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.
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+<h1 id="feedback-for-group-assignment-17">Feedback for Group Assignment 1.7</h1>
+<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: Week 1.7, Friday, Oct 18, 2024.</em></p>
+<p><strong>This Feedback file contains a few observations and conclusions for all three data sets. See the solution notebooks for more details about a particular data set. A Report solution is not provided, as all relevant information is summarized in this file or the notebooks.</strong></p>
+<p>A few particular notes for specific data sets are identified with italics (<em>disharge, emissions</em> or <em>force</em>).</p>
+<h2 id="questions">Questions</h2>
+<p><strong>Question 1</strong></p>
+<ul>
+<li>Discharge best fit: h by Gaussian, u by Gumbel</li>
+<li>Emissions best fit: H by Gaussian, C by uniform</li>
+<li>Force best fit: H by exponential, T by Gumbel</li>
+</ul>
+<p>Avoid words such as “clearly” or “obviously” when choosing your distribution. State your assumption and provide arguments.</p>
+<p><em>Emissions:</em> Most groups went for a log-normal distribution for C. It can be argued that you use lognormal, however in the GoF tests, it should strike you that the right tail does not fit. Some groups went for Gumbel for H. Do not solely rely on your metrics, make sure you visually inspect the data, do you really see it skewed? Maybe try both and look at the fitted line through a histogram.</p>
+<p><strong>Question 2</strong></p>
+<p>p-values are</p>
+<ul>
+<li>Discharge: h --&gt; 0.719, u --&gt; 0.152 (both H_0 not rejected)</li>
+<li>Emissions:  H --&gt; 0.001, C --&gt; 0.0 (both rejected)</li>
+<li>Force: H --&gt; 0.0, d --&gt; 0.0 (both rejected)</li>
+</ul>
+<p>Check your KS-tests! Some groups gave some wrong arguments in the function. Also check what it means and definitely do not “discard” it because it tells you something different than your QQ plot. It is possible to reject the null hypothesis, which is based on a strict mathematical criteria, but still accept the distribution for other reasons (e.g., the deviations in the QQ plot are sufficiently small for your purposes; or perhaps it's better than the other distribution). If you were given advice to &quot;discard&quot; the KS test from a teacher in class, you were still expected to justify the reasoning behind it.</p>
+<p>Check your code to make sure that you computed the value correctly. Additionally, do not compare p-values, this results in mistakes in interpretation (the p-value should be used to assess pass/fail, it is not meant to be a relative comparison).</p>
+<p>A function does not fit worse or better because the KS test P value is lower or higher respectively.</p>
+<p>When you say “it does not fit well” ask yourself why. This is what we look for in argumentation.</p>
+<p>Lastly, do not be too quick and claim things “fit quite well” even if you see large deviations at the tails. Be precise in your wording. Example: “The distribution fits the data well below X meters, however the distribution over/underestimates the right tail.”</p>
+<p><strong>Question 3</strong></p>
+<p>Some groups highlight that “the simulations look much more like X distribution than the data”. Do not forget to mention why. This is of course expected as the simulations are sampled from these distributions.</p>
+<p>Make sure to point out certain differences such as the spreading and where these came from.</p>
+<p>Check if your values have meaning. Does a negative force or a negative emission have meaning? If you truncated your data or dealt with these values in another way, specify it in the report or add a plot.</p>
+<p><strong>Question 4</strong></p>
+<p>The correlation coefficients are:</p>
+<ul>
+<li>Discharge: 0.39</li>
+<li>Emissions: 0.27</li>
+<li>Force: 0.46</li>
+</ul>
+<p>Many groups simply stated the value of the correlation coefficient and forgot to argue what effect correlation has on the final distribution.</p>
+<p><em>Discharge:</em> The distributions may fit well, however the right tail does not, a recommendation could be to choose another one.</p>
+<p><strong>End of file.</strong></p>
+<span style="font-size: 75%">
+&copy; Copyright 2024 <a rel="MUDE" href="http://mude.citg.tudelft.nl/">MUDE</a>, TU Delft. This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">CC BY 4.0 License</a>.
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