vrproject

Complex Network Analysis VR-project
git clone git://popovic.xyz/vrproject.git
Log | Files | Refs
commit e62299d0a6630290c0b393894277c60752af5a14
parent 24d8130d6366a5f628d274f4730cad4a1865e4cc
Author: miksa <milutin@popovic.xyz>
Date:   Mon, 11 Jul 2022 15:44:18 +0200

final commit

Diffstat:

Dnodes_edges/Popovic_12_06.zip | 0


Dnodes_edges/Popovic_19_06.zip | 0


Dnodes_edges/Popovic_19_06_final.zip | 0


Dpres/output.mp4 | 0


Dpres/pics/edge_growth.png | 0


Dpres/pics/fitness.png | 0


Aproject_video.mp4 | 0


Asrc/.ipynb_checkpoints/all_in_one-checkpoint.ipynb | 6++++++


Msrc/.ipynb_checkpoints/network_dynamic-checkpoint.ipynb | 189+++++++++++++++----------------------------------------------------------------


Msrc/.ipynb_checkpoints/network_static-checkpoint.ipynb | 256++++++++-----------------------------------------------------------------------


Msrc/__pycache__/export_import.cpython-310.pyc | 0


Msrc/__pycache__/export_vr.cpython-310.pyc | 0


Msrc/ideas.ipynb | 16++++------------


Msrc/network_dynamic.ipynb | 189+++++++++++++++----------------------------------------------------------------


Msrc/network_static.ipynb | 1280+------------------------------------------------------------------------------


Rpres/build/pres1.pdf -> tex_stuff/pres/build/pres1.pdf | 0


Rpres/build/pres2.pdf -> tex_stuff/pres/build/pres2.pdf | 0


Atex_stuff/pres/build/pres3.pdf | 0


Rpres/pics/code_example.pdf -> tex_stuff/pres/pics/code_example.pdf | 0


Atex_stuff/pres/pics/deg_2016_growth.png | 0


Atex_stuff/pres/pics/deg_growth.png | 0


Rpres/pics/dist.png -> tex_stuff/pres/pics/dist.png | 0


Rpres/pics/dist_d.png -> tex_stuff/pres/pics/dist_d.png | 0


Rpres/pics/dist_u.png -> tex_stuff/pres/pics/dist_u.png | 0


Atex_stuff/pres/pics/edge_growth.png | 0


Atex_stuff/pres/pics/fitness.png | 0


Rpres/pics/ideas.pdf -> tex_stuff/pres/pics/ideas.pdf | 0


Rpres/pics/json.png -> tex_stuff/pres/pics/json.png | 0


Rpres/pics/plot_2015.png -> tex_stuff/pres/pics/plot_2015.png | 0


Rpres/pics/plot_bell.png -> tex_stuff/pres/pics/plot_bell.png | 0


Rpres/pics/plot_exp.png -> tex_stuff/pres/pics/plot_exp.png | 0


Rpres/pics/plot_lin.png -> tex_stuff/pres/pics/plot_lin.png | 0


Rpres/pics/plot_sin2.png -> tex_stuff/pres/pics/plot_sin2.png | 0


Rpres/pics/plot_sqrt.png -> tex_stuff/pres/pics/plot_sqrt.png | 0


Rpres/pics/pypi.png -> tex_stuff/pres/pics/pypi.png | 0


Rpres/pics/req_3d.html -> tex_stuff/pres/pics/req_3d.html | 0


Rpres/pics/req_3d.png -> tex_stuff/pres/pics/req_3d.png | 0


Rpres/pics/select_json.png -> tex_stuff/pres/pics/select_json.png | 0


Rpres/pics/sneak_peak.png -> tex_stuff/pres/pics/sneak_peak.png | 0


Atex_stuff/pres/pics/top_all_edge_growth.png | 0


Rpres/pres1.tex -> tex_stuff/pres/pres1.tex | 0


Rpres/pres2.tex -> tex_stuff/pres/pres2.tex | 0


Atex_stuff/pres/pres3.tex | 90+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


Rpres/script.md -> tex_stuff/pres/script.md | 0


Rpres/uni.bib -> tex_stuff/pres/uni.bib | 0


Atex_stuff/report/build/report.pdf | 0


Atex_stuff/report/report.tex | 233+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


Atex_stuff/report/uni.bib | 31+++++++++++++++++++++++++++++++


48 files changed, 459 insertions(+), 1831 deletions(-)

diff --git a/nodes_edges/Popovic_12_06.zip b/nodes_edges/Popovic_12_06.zip
Binary files differ.
diff --git a/nodes_edges/Popovic_19_06.zip b/nodes_edges/Popovic_19_06.zip
Binary files differ.
diff --git a/nodes_edges/Popovic_19_06_final.zip b/nodes_edges/Popovic_19_06_final.zip
Binary files differ.
diff --git a/pres/output.mp4 b/pres/output.mp4
Binary files differ.
diff --git a/pres/pics/edge_growth.png b/pres/pics/edge_growth.png
Binary files differ.
diff --git a/pres/pics/fitness.png b/pres/pics/fitness.png
Binary files differ.
diff --git a/project_video.mp4 b/project_video.mp4
Binary files differ.
diff --git a/src/.ipynb_checkpoints/all_in_one-checkpoint.ipynb b/src/.ipynb_checkpoints/all_in_one-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/.ipynb_checkpoints/network_dynamic-checkpoint.ipynb b/src/.ipynb_checkpoints/network_dynamic-checkpoint.ipynb
@@ -65,7 +65,6 @@
    "outputs": [],
    "source": [
     "class TDiGraph(nx.DiGraph):\n",
-    "#    def __init__(self, all_edges:pd.DataFrame):\n",
     "    def __init__(self, all_edges):\n",
     "\n",
     "        self.t = 0\n",
@@ -190,7 +189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 15,
    "id": "2ce7ea35",
    "metadata": {},
    "outputs": [
@@ -198,17 +197,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_173904/3718333394.py:31: UserWarning:\n",
-      "\n",
-      "FixedFormatter should only be used together with FixedLocator\n",
-      "\n"
+      "/home/miksa/.local/lib/python3.10/site-packages/scipy/optimize/_minpack_py.py:833: OptimizeWarning: Covariance of the parameters could not be estimated\n",
+      "  warnings.warn('Covariance of the parameters could not be estimated',\n",
+      "/tmp/ipykernel_342492/2844037934.py:32: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "  ax.set_xticklabels(years[-7:], rotation='vertical', fontsize=10)\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
+       "<Figure size 864x648 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -223,13 +222,13 @@
     "\n",
     "time_steps = len(TDG.time_steps)\n",
     "years = sorted(list(set([date[:4] for date in TDG.time_steps])), key=lambda x: datetime.strptime(x, '%Y'))\n",
-    "fig, ax = plt.subplots(1, 1, figsize=[10, 8])\n",
+    "fig, ax = plt.subplots(1, 1, figsize=[12, 9])\n",
     "cmap = cm.get_cmap('tab10').colors\n",
     "j=0\n",
     "β_i = {}\n",
     "variance = {}\n",
     "\n",
-    "for node, k_i in [k_i_t[i] for i in range(len(k_i_t)) if max(k_i_t[i][1]) > 350 and len(k_i_t[i][1]) <= 12*5]:\n",
+    "for node, k_i in [k_i_t[i] for i in range(len(k_i_t)) if max(k_i_t[i][1]) > 50 and len(k_i_t[i][1]) < 12*5]:\n",
     "    try:\n",
     "        time_creation = time_steps - len(k_i)\n",
     "        time_seq = np.arange(time_creation, time_steps)\n",
@@ -240,61 +239,34 @@
     "        else:\n",
     "            variance[node] = np.sqrt(pcov[0][0])\n",
     "            β_i[node] =  popt[0]\n",
-    "            if j < 400:\n",
+    "            if j < 300:\n",
     "                ax.plot(time_seq, cum_log_k_i, '.', label=node, color=cm.get_cmap('plasma', 36).colors[j])\n",
+    "#                ax.plot(time_seq, cum_log_k_i, '.', label=node)\n",
     "                j+=1\n",
     "    except:\n",
     "        continue\n",
     "    \n",
     "\n",
-    "#ax.set_xticks([(time_steps+8*12)/len(years[-8:])*i for i in range(len(years[-8:]))])\n",
-    "ax.set_xticklabels(years[-8:], rotation='vertical', fontsize=10)\n",
+    "#ax.set_xticks([(time_steps)/len(years)*i for i in range(len(years[:]))])\n",
+    "ax.set_xticklabels(years[-7:], rotation='vertical', fontsize=10)\n",
     "ax.tick_params(axis='both', which='major', labelsize=15)\n",
     "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize=10)\n",
     "ax.set_xlabel(r'$t$', fontsize=15)\n",
     "ax.set_ylabel(r'$ln(k^{in}_i(t))$', fontsize=15)\n",
-    "fig.savefig('../pres/pics/edge_growth.png', dpi=300)"
+    "fig.savefig('../tex_stuff/pres/pics/deg_2016_growth.png', dpi=300)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 99,
-   "id": "d5e94ec5",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'LinearSegmentedColormap' object has no attribute 'color'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [99]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mcm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_cmap\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrainbow\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m36\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolor\u001b[49m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'LinearSegmentedColormap' object has no attribute 'color'"
-     ]
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b87554e2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "91ac9465",
+   "cell_type": "raw",
+   "id": "23f1757c",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "# Distribution of Node growth"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 211,
+   "execution_count": 8,
    "id": "beb25be6",
    "metadata": {},
    "outputs": [
@@ -302,14 +274,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_79352/1188189524.py:4: RuntimeWarning: divide by zero encountered in log\n",
-      "  ax.plot(np.log(ϱ_η[1][1:]), np.log(ϱ_η[0]/sum(ϱ_η[0])), 'o')\n",
-      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
+      "/tmp/ipykernel_342492/4149663712.py:4: RuntimeWarning: divide by zero encountered in log\n",
+      "  ax.plot(np.log(ϱ_η[1][1:]), np.log(ϱ_η[0]/sum(ϱ_η[0])), 'o')\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x576 with 1 Axes>"
       ]
@@ -328,8 +299,8 @@
     "ax.tick_params(axis='both', which='major', labelsize=15)\n",
     "ax.set_ylabel(r'$\\ln(\\rho(\\eta))$', fontsize=20)\n",
     "ax.set_xlabel(r'$\\eta$', fontsize=20)\n",
-    "ax.legend(loc='best', fontsize=20)\n",
-    "fig.savefig('../pres/pics/fitness.png', dpi=300)"
+    "#ax.legend(loc='best', fontsize=20)\n",
+    "fig.savefig('../tex_stuff/pres/pics/fitness.png', dpi=300)"
    ]
   },
   {
@@ -342,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "id": "cbb86272",
    "metadata": {},
    "outputs": [],
@@ -358,40 +329,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 19,
    "id": "943762b6",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[Text(0.0, 0, '2005'),\n",
-       " Text(11.38888888888889, 0, '2006'),\n",
-       " Text(22.77777777777778, 0, '2007'),\n",
-       " Text(34.16666666666667, 0, '2008'),\n",
-       " Text(45.55555555555556, 0, '2009'),\n",
-       " Text(56.94444444444444, 0, '2010'),\n",
-       " Text(68.33333333333334, 0, '2011'),\n",
-       " Text(79.72222222222223, 0, '2012'),\n",
-       " Text(91.11111111111111, 0, '2013'),\n",
-       " Text(102.5, 0, '2014'),\n",
-       " Text(113.88888888888889, 0, '2015'),\n",
-       " Text(125.27777777777779, 0, '2016'),\n",
-       " Text(136.66666666666669, 0, '2017'),\n",
-       " Text(148.05555555555557, 0, '2018'),\n",
-       " Text(159.44444444444446, 0, '2019'),\n",
-       " Text(170.83333333333334, 0, '2020'),\n",
-       " Text(182.22222222222223, 0, '2021'),\n",
-       " Text(193.61111111111111, 0, '2022')]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
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AicAD1aQpSdLSuG1zNPY7A5GZryo/j4ifB04CfjAzd3ZdnwKuA/5vFUlKkrRU5bbNx5/wzbKq1G8T5TuBt3QXDwDFm2n9BnAx8IdDyk2SpL64bXN0+i0gjgYOWmDsQOCowdKRJGl53LY5Wv3uwrgBeG9ETHdfjIjnA+8F/n5IeUmS1Jf5tm2qOv0WEJuAB4EvRMR9EbE1Iu4DthTXNw07QUmS9sdtm6PX70mUXwNOj4gfA55PZ0nj68A/ZeYnKshPkqRFuW2zHn2fRAlQFAsWDJKk2rltsx59FxARsQr4STpnPxxBZ+nis8BHM3Oht/qWJGnoupcu9u512+Yo9VVARMRRwPXAacB24F+AFwIXATdHxNmZuWvYSUqS1Muli3r120T5u8AaYGNmHp+ZL8zM44EXFNd/d9gJSpI0H5cu6tVvAfFjwNsy8x+7L2bmPwFvB14+rMQkSVpMeeKkuy7q0W8PxEHAQwuMPUTnMClJkirliZP167eA2AK8LSI+lZn/Wl6MiEOBtxXjkiRVxhMnm6HfAuJXgE8D90TE9XSaKI8CXgoE8JKhZidJUo/5Tpy0gBi9vnogMnMrnbfz3gysBX6UTgFxBXBiZt487AQlSSp54mRz9H0ORLFN89cqyEWSpAW5bbNZ9ltARMSn+oiXmfnDA+QjSdK83LbZLEtZwti9hNuBdPofXrK/YBHx/oi4OyIyIp7ddX17RNxevEHX1oh4adfYxoi4OSK2RcT1xYFWlY1JkprFpYvmicxc/p0jpujsvngjnW2cv5eZ797Pfc4AdtA5/voVmXlbcX1799dd378C2Ab8bGbeGBH/FTg+M99YxdhiuU9PT+fMzExfz5EkaTC9Sxevmj7WpYsRiojZzJzuvd7vQVJlsBMi4o+ArwD/ns4hUuv2VzwAZOaNmXlPHw+3AXgkM28svr4C+OkKxyRJDeLSRTP1VUBExCkR8WfA/wPOAn4R+L7MvCQzHx5CPtdExC0RcXlEHF5cm6IzYwFAZj4ArIiIIyoa6/2ZN0XETETM7Nrl23xI0ii5dNFcS9qFEREbgHcCP05n1uEC4OrM3DvEXF6cmfdExEHAJcClwOuGGH9ZMnMznW2rTE9PL3+9R5LUF3ddNNtSdmH8NXA2cCtwXmZeW0Ui5bJGZj4aEZcDHy+GdgLruvI5EpjLzAcjYuhjVfxskqT+uXTRbEtZwihPmXwmcFlE3L/YbTlJRMShEfG04vMAzgO2FsOzwCFF8yXAhcC1FY5Jkmrm0kXzLWUJ4zeH+YAR8fvAucDRwN9GxG7glcBHImIlsBL4MvAmgMyci4jzgSsj4mBgO8XSRhVjkqR6uXTRDgNt45w0buOUpGrN7tjDJX+7jX+48wHmElYGvOXsk7jorBPqTm1iLbSNs++jrCVJqkI58/Do43MksMKli0azgJAkNULZNJl0GvRedMKR/NKPrHfpoqGWdZCUJEnD1Ns0eeABKyweGs4ZCElSrWyabCdnICRJtfK8h3aygJAk1cbzHtrLJQxJUi1cumg3ZyAkSSNXnvfg0kV7OQMhSRopz3sYDxYQkqSR8ryH8eAShiRpZDzvYXw4AyFJGgmbJseLMxCSpMrZNDl+nIGQJFXKpsnxZAEhSaqUTZPjySUMSVJlbJocX85ASJIqYdPkeHMGQpI0dDZNjj9nICRJQ2XT5GSwgJAkDZVNk5PBJQxJ0tDYNDk5nIGQJA2FTZOTxRkISdJQlEsXNk1OBgsISdLAepcubJocfy5hSJIG4tLFZHIGQpK0bJ73MLmcgZAkLYvnPUw2CwhJUt+6Zx4872EyWUBIkvoy38zDgas872HSWEBIkpbMmQeVLCAkSUvizIO6WUBIkvbLmQf1soCQJC3KmQfNZ6TnQETE+yPi7ojIiHh21/X1EfH5iNhWfDyxrjFJ0vcsNPNwzQUbLR4m3KgPkvoYcCawo+f6FcBlmbkeuAy4ssYxSRLfm3m48SsPMJfFzIPvrqlCZOboHzRiO/CKzLwtIo4CtgFrMnNvRKwEdgMnAjHKsczctVje09PTOTMzM9wnQ5IaqJx5+Ic7i+IBeNGJ9jxMooiYzczp3utN6IE4Frg3M/cCFL/U7yuux4jHFi0gJGkS2POgpWhCAdFoEbEJ2AQwNTVVczaSVC13W2ipmlBA3AM8IyJWdi0pHFNcjxGPPUlmbgY2Q2cJo7qnQZLq5cyD+lH7u3Fm5v3AVuA1xaXXADdl5q5Rj1XyA0pSC7jbQv0aaRNlRPw+cC5wNPAAsDszT4mIk4EPAquBPcDrM/OO4j4jHVuMTZSSxtFCMw8WD4KFmyhr2YXRVhYQksaNuy20P03ehSFJqoE9DxqEBYQkTSB3W2hQFhCSNGGcedAwWEBI0oTZctduZx40sNq3cUqSRmd2xx7u/cbDrFq5gpW+t4UG4AyEJE2IcunisSfmWLUiOO8Hpjj39GdaPGhZnIGQpAnQ3TQ5l7B3Ljnm8EMsHrRszkBI0pibr2nygFUr2Hj8mrpTU4tZQEjSGHO7pqpiASFJY2h2xx4+8sWv8b9nv8bjT7hdU8NnASFJY6Z3yQKcedDw2UQpSWOkd8kCIHC7pobPGQhJGgMLLVmsWhG8avpYt2tq6CwgJKnlXLJQHVzCkKQWc8lCdXEGQpJayCUL1c0CQpJaxiULNYFLGJLUIi5ZqCmcgZCkFnDJQk1jASFJDeeShZrIJQxJajCXLNRUzkBIUgO5ZKGms4CQpIZxyUJt4BKGJDWISxZqC2cgJKkBXLJQ21hASFLNXLJQG7mEIUk1cslCbeUMhCTVwCULtZ0FhCSN0HyFA7hkofaxgJCkEZmv1wFcslA7WUBI0ggs1OtwwEqXLNROFhCSVCF7HTSuLCAkqQL2OmjcWUBI0hAtVDiAvQ4aL406ByIitkfE7RGxtbi9tLi+MSJujohtEXF9RBzVdZ+hj0nScpRNkh/+ws4nn+uwMviZF0xxzQUbLR40FhpVQBR+KjOfW9z+JiJWAFcDF2XmeuAzwHsAqhiTpOVY8ECoonD48KYX8j9/4lSLB42NNixhbAAeycwbi6+vALYDb6xoTJKWzCZJTaomFhDXREQANwLvAKaAHeVgZj4QESsi4ogqxjLzwap/QEntZ5OkJl3TCogXZ+Y9EXEQcAlwKfCXdSYUEZuATQBTU1N1piKpAWySlDoaVUBk5j3Fx0cj4nLg48D/AtaV3xMRRwJzmflgROwc9tg8OW0GNgNMT09n77ikybC/wsEDoTRpGlNARMShwKrM/GaxhHEesBWYBQ6JiDOKnoULgWuLu1UxJknfZeEgza8xBQTwdOAjEbESWAl8GXhTZs5FxPnAlRFxMJ1mx9cBVDEmSWDhIO1PZDorv1TT09M5MzNTdxqSKmThIO0rImYzc7r3epNmICSpNhYOUn8sICRNNAsHaXksICRNJAsHaTAWEJImioWDNBwWEJImgoWDNFwWEJLGmoWDVA0LCEljycJBqpYFhKSxYuEgjYYFhKRWm92xhy137Wb1Uw7ktvu+aeEgjYgFhKRWmm+mIcDCQRoRCwhJrbLYEkX5uYWDVD0LCEmtsFjhUFoRsGqFhYM0ChYQkhqp396GU455Gnu+8xgbj19j4SCNgAWEpEaxt0FqBwsISbVaykyDvQ1S81hASKrFUmYaSvY2SM1jASFpJJY702Bvg9RMFhCSKuVMgzSeLCAkDV1ZNDzw0KPcsG2XMw3SGLKAkDSw3uWJv5i5hyf2zjfH0OFMg9R+FhCSlm2pyxPONEjjxwJC0n51zzDs+c5jS2qELK1aGbzamQZp7FhASHqSxXZMlDMM+2uEfMlJR7H2qQdZOEhjygJC0pIKhlL2fHR5QppMFhDSBFpOwVAqx22ElCabBYQ0hubrWViod2F/BUN3oVDOMJTxnGmQJpcFhNRiS2lu7O1ZWE7BYKEgqZcFhNQCyykUSr09CxYMkobBAkJqkGEWCqXe77dgkDQMFhDSCC2nN6HfQmGxngV7FyQNiwWENASLFQaD9iYsp1CwQJBUNQsIaRHDLAz67U2wUJDUZBYQmihLKQiqKgyW05tgoSCpqSwg1Cr9FACDFgTDKgzsTZA0jia6gIiI9cAHgTXAbuD1mfmVerMaD4P8oh92AbDcgmCYhYEFgqRxM9EFBHAFcFlmXh0RrwOuBH5oFA9cxS/Ypnwc1i/6YRUA/RYEFgaStH8TW0BExFHA6cCPFpc+DFwaEWszc1eVjz27Yw+vvWoLjz5ezS/YpnwsLfcX/aAFwCAFgYWBJC1uYgsI4Fjg3szcC5CZeyPivuL6dwuIiNgEbAKYmpoaygNvuWs3jxX/O4fh/4JtysfSsAqS5RQAFgSSVI1JLiCWJDM3A5sBpqene383LsvG49dw4KoVPPb4HHPUP1Mw7I/D+EVvASBJzTbJBcQ9wDMiYmUx+7ASOKa4XqkN61ZzzQUbx7YHwl/0kjT+JraAyMz7I2Ir8Brg6uLjTVX3P5Q2rFvtL1hJUmtNbAFRuBD4YES8C9gDvL7mfCRJaoWJLiAy83bgBXXnIUlS26yoOwFJktQ+FhCSJKlvFhCSJKlvFhCSJKlvFhCSJKlvFhCSJKlvFhCSJKlvFhCSJKlvFhCSJKlvkTmUN5icCBGxC9gxxJBHAg8MMV7bY7cx5ypjtzHnKmO3MecqY7cx5ypjtzHnqmMPy7rMXNt70QKiRhExk5nTxq42bltjtzHnKmO3MecqY7cx5ypjtzHnqmNXzSUMSZLUNwsISZLUNwuIem029kjitjV2G3OuMnYbc64ydhtzrjJ2G3OuOnal7IGQJEl9cwZCkiT1zQJCkiT1zQJCkiT1zQJiTEXEEXXn0K+IWFNBzMMj4rBhx+2KfXgVsfVkEXFy3Tksh6/Fal+Hqo8FxIhExCldnx8QEb8VEX8XERdHxFMGjP1fI+Ko4vNnRcSdwD0RsTMiNgwYeyYifjkinnQK2YBxz4iIL0XEJyPi+Ii4BdgZEfdFxAsHjH14RPxBRHwL2A18s3gu/vMQ8j4yIv4oIh4CvgbcGxHfKq4N9Tnqesy/HvD+B0XEOyNic0S8vGfsAwPGnoqIj0TEX0TE0RFxWfF83BgRxw0Q9ym9N+CvI+KQIbxeWvdarOp1WMSu5LVY8evw4Ij49Yi4LSK+UdxuLa4dMmj8RR53oB0TEfHaiHhHRDyn5/rbB8usHhYQo/Ohrs9/EzgN+D1gDXDJgLFfnZn3F5+/D3hrZh4KvA74/QFj/xvgTGB7RHw0Il4eEcP4e/O7wK8BfwbcAPz3IufX0nleBvFBOr/c/10R653ATwLnRMRvDhj7auAu4LjMPKzI+Xjg7mJsWeb7hdn1i/PZA+Z8OXAqcDvw3oi4pGvsRQPGvgL4e+AW4Ho6z/uJwJ8z2N/rbwMPFR/L2zrgX4vrg2jja7Gq1yFU91qs8nX4J8AU8AY6f99OBH62uPanA8ZezMuWe8eIeC9wIXA08ImI+KWu4VcNmFc9MtPbCG7ATV2ffxE4rPh8FXDbgLHv6Pp8dqHHHSRv4CjgV4DbgHuB9wDrh/R8bB9yzrf2fP354uPBwLYBY9++lD+HZcSdA/YWH+d6vt47YM63dH1+CPAx4I+AGMJzvbXr83/uGbt5gLh/DFwFPLXr2t2D5Drf36+2vBareh3O83xsH2LOVb4OF7z/EGLfv8BtF/D4AHFvAw7o+nP8PPDfBn2e67w5AzE60TX9+kRmfhsgM58AHh8w9mzXtOBNEfGDxQM+C3hswNgJkJn3Z+bFmflsOv+LOAL4wgBxVxbLAd8HrI6IE4qc1wIHDZjzXBTrzhGxjmKmLTMfYfDn+pH5pnWL5/zRAeL+M/D0zFzRdVuZmSuA+waIC51fjABk5sN0/vwOpfM/8UH/Deg+SOaLi4z1FzTzjXQKnb+LiPJ/fcM6tKaNr8WqXodQ3Wuxytfh3og4vvdi8TPMDRg7gB8Bnj/P7f5F7rdfmfl48fF+4GzgrIh4N8P7uz1Sq/b/LRqS0+hMwwaQEfGMzLw3Ig5m8H/ELwL+NCJ+mc7/Sv4+InbQme79uQFjR++FzNwCbImINw8Q9xLgq8XnFwIfjIg9wOl0pn4HcQlwS0TcROdF/2aAiHg6g7+b6oXAhyLi4a5Yx9H5X9X5A8T9NJ2lihvmGfvHAeICfD0inpOZNwNk5t6I+Bk6U8yDLo88HBFPzcyHMvO7/RXRacJ7YpDAmXldRHweuDQizmN4/16N8rV4Q0TsZPDXYlWvQ6jutXgJ1b0O/wvwDxHxT+z7OpwGNg0YewY4MjNv6R2IiHsHiPvNiPi+zPwqQGY+FBHnANfRWWJsHU+irFl0uvhPLv4xGDTWicD3AyuBnZk5O4SYL8zMzw8aZ4HYR9D5O7g7Ip5KpyK/OzN7/ye7nNjfD5xCZxr9K4PG64kdwAY6660AO+lMVzfyxVT8vXgsM3f0XA/gnMz8xACxY76fOyKOBI7OzNuWG7sn3quAl2TmRcOIt8BjHM7wXosnAM9iSK/FKl+HRfxKXovR2TnzbKp5HR4KnMO+r8NPljNKA8Q9kM6y4d4BU+yN+0LgW5n5pZ7rBwE/n5mXD/PxRsECogbFP1Rk5jeM3c6cJWnS2QMxIrHv9r97GeL2v6hwa2FVsduY8xIed6DtlqOO29bYbcy5ytiTmHNUuzW5kthV5lwXC4jR6d7+d2gOafvfPLGHtrWw4thtzLmy7ZZVxW1r7DbmXGVsc36SKrcmVxW7ypxr4RLGiETE7Zk570l6EXFHZp40SbHbmHNx/zk6HdPdTW3l15mZK5sUt62x25hzlbHN+Umxb8nM04rPDwE+TOewqguAL2bm85oWu8qc6+IMxOhUtf2vrbHbmDNUt92yym2cbYzdxpyrjG3O+6pya3JVsavMuRZu4xydqrb/tTV2G3OG6rZbVrmNs42x25hzlbHNeV9Vbk2uKnaVOdfCJYwRiqhu+18bY7cxZ0n1i2q3JlcSu8qc62IBUYNo6bbFqmK3MecqY7cx5ypjtzHnKmObc/tjV5nzKLVy3aWNoqXbFquK3cacq4zdxpyrjN3GnKuMbc7tj11lznWxgBidVm5brDB2G3OuMnYbc64ydhtzrjK2Obc/dpU51yMb8I5ek3CjondxbGvsNubs8+Hz4fNRf9y2xq4y57puzkCMTlu3LbqNczSx25hzlbHbmHOVsc25/bGrzLkWbuMcncW2Fr5+AmO3MecqY7cx5ypjtzHnKmObc/tjV5lzLdyFMUIR7dy2WFXsNuZcZew25lxl7DbmXGVsc25/7CpzrkXdayiTcgPWAH8IXA/8p56xj0xa7Dbm7PPh8+HzUX/ctsauMue6bvZAjM6VwB7gCuDHI+KjEVEuIR0/gbHbmHOVsduYc5Wx25hzlbHNuf2xq8y5HnVXMJNyA27u+jyAy4BP0ln/umnSYrcxZ58Pnw+fj/rjtjV2lTnXdXMGYnQOLD/JjouAW4H/Q+cv0KTFbmPOVcZuY85Vxm5jzlXGNuf2x64y51pYQIzOXRFxZveFzHwr8AVg/QTGbmPOVcZuY85Vxm5jzlXGNuf2x64y51q4C2NEIuIIOoXnnnnGnpWZX56k2G3MucrYbcy5ythtzLnK2Obc/thV5lwXCwhJktQ3lzAkSVLfLCAkSVLfLCAkSVLfLCAkNVpErI+I34iIA/f/3ZJGxQJCUtOdA7wpMx+rOxFJ32MBIanpTgNuqzsJSftyG6ekxoqI+4G1PZd/ODM/VUc+kr7HAkJSIxVvffwC4NPAxcB1xdDWzHyktsQkAbBq/98iSaOXmRkRX6fzPgHXZeaWunOS9D32QEhqstOApPOmQ5IaxAJCUpOdBtyVmf9adyKS9mUBIanJTgNurjsJSU9mASGpyU4Gbq87CUlPZgEhqcm+BZwZEWdGxMZiZ4akBnAbp6TGiogzgCuB9cDuzDy65pQkFSwgJElS31zCkCRJfbOAkCRJfbOAkCRJfbOAkCRJfbOAkCRJfbOAkCRJfbOAkCRJfbOAkCRJfbOAkCRJffv//IHR4ZNI5VMAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 576x432 with 1 Axes>"
       ]
@@ -405,9 +349,12 @@
    "source": [
     "fig, ax = plt.subplots(1, 1, figsize=[8, 6])\n",
     "ax.plot(n_nodes, '.')\n",
-    "ax.tick_params(axis='both', which='major', labelsize=15)\n",
+    "ax.tick_params(axis='both', which='major', labelsize=11)\n",
     "ax.set_xticks([len(n_nodes)/len(years)*i for i in range(len(years))])\n",
-    "ax.set_xticklabels(years, rotation='vertical')"
+    "ax.set_xticklabels(years, rotation='vertical')\n",
+    "ax.set_xlabel(r'$t$', fontsize=15)\n",
+    "ax.set_ylabel(r'Nodes', fontsize=15)\n",
+    "fig.savefig('../tex_stuff/pres/pics/deg_growth.png', dpi=300)"
    ]
   },
   {
@@ -492,34 +439,7 @@
    "id": "6dc9d0c3",
    "metadata": {},
    "source": [
-    "# Configuration for VR"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fce88436",
-   "metadata": {},
-   "source": [
-    "Since the VR-lab cannot take time varying networks where nodes get deleted we have to kind of \n",
-    "shuffle through them without removing them but repositioning them somwhere where they cannnot be \n",
-    "seen. This is done by saving the layout of the nodes at the last time step and then iterating \n",
-    "backwards, after each step moving nodes that are not in timestep (t-1) somewhere else and removing \n",
-    "all their edges. Additionally for the story we have to choose one node and follow its history \n",
-    "paiting it a color, e.g. red. The procedere will go as follows\n",
-    "\n",
-    "    1. save a nice layout at time $t=T$ (last step)\n",
-    "    2. choose a node/package to follow or multiple nodes\n",
-    "    3. check creation date of node, call it $T_0$\n",
-    "    4. iterate from (t=T to t=T_0, t--);\n",
-    "           1. move nodes not present in t-1 to a coordinate system edge e.g $(-1,-1,-1)$\n",
-    "           2. remove edges of all moved nodes.\n",
-    "           3. save layout.\n",
-    "\n",
-    "Choosing 'seaborn' as package to follow is in my perspective usefull. \n",
-    "\n",
-    "To remain biased, first calculate the position before removing nodes from the network. Since if we \n",
-    "remove nodes from the network first, we would get a distored image on how ''high'' a node should be \n",
-    "paced on the network."
+    "# Configuration for VR (exporting data)"
    ]
   },
   {
@@ -550,52 +470,13 @@
     "                +int(date_current.split('-')[1]) - int(date_creation.split('-')[1])  - 1\n",
     "\n",
     "export_data_vr(TDG, posDG3D, chosen_nodes, path='../nodes_edges/vr/', step=TDG.time_steps[TDG.t-1])\n",
-    "#tdg_draw(TDG, posDG3D, node_color, node_alpha, chosen_nodes ,fname='sqrt')\n",
-    "\n",
-    "\n",
     "for i in range(T_0):\n",
-    "#    nodes_to_move = list(set(TDG.all_nodes[TDG.time_nodes == TDG.time_steps[TDG.t-1]]['package'].to_list()).intersection(TDG.nodes))\n",
     "    C_TDG.backward()\n",
     "    TDG.backward()\n",
-    "#    for node in nodes_to_move:\n",
-    "#        posDG3D[node] = [0, 0, -1]\n",
     "    if i%9 == 0:\n",
     "        posDG3D = ray_layout(C_TDG)\n",
-    "        export_data_vr(TDG, posDG3D, chosen_nodes, path='../nodes_edges/vr/', step=TDG.time_steps[TDG.t-1])\n",
-    "#        tdg_draw(TDG, posDG3D, node_color, node_alpha, chosen_nodes ,fname='sqrt')"
+    "        export_data_vr(TDG, posDG3D, chosen_nodes, path='../nodes_edges/vr/', step=TDG.time_steps[TDG.t-1])"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3edaac96",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d45ccd8d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e2d92632",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fc9b3f69",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/src/.ipynb_checkpoints/network_static-checkpoint.ipynb b/src/.ipynb_checkpoints/network_static-checkpoint.ipynb
@@ -39,7 +39,7 @@
     "\n",
     "from csv_to_network import get_graph\n",
     "\n",
-    "path = \"../data/\""
+    "path = \"../data/static/\""
    ]
   },
   {
@@ -52,12 +52,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 19,
    "id": "9ec366d6",
    "metadata": {},
    "outputs": [],
    "source": [
-    "req = pd.read_csv(path + 'my_req.csv', sep='|')\n",
+    "req = pd.read_csv(path + 'my_req.csv', sep='|', keep_default_na=False)\n",
     "DG = get_graph(req, cut=0, direction=\"\")\n",
     "list_node_deg = sorted(list(dict(DG.degree()).items()), key=lambda x: x[1], reverse=True)"
    ]
@@ -72,13 +72,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 57,
    "id": "cbbcddda",
    "metadata": {},
    "outputs": [
     {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_30438/714574286.py:48: RuntimeWarning: divide by zero encountered in log\n",
+      "  ax[0].plot(k, np.exp(linear(np.log(k), popt[0]+1, popt[1])),\\\n",
+      "/tmp/ipykernel_30438/714574286.py:48: RuntimeWarning: divide by zero encountered in log\n",
+      "  ax[0].plot(k, np.exp(linear(np.log(k), popt[0]+1, popt[1])),\\\n",
+      "/tmp/ipykernel_30438/714574286.py:48: RuntimeWarning: divide by zero encountered in log\n",
+      "  ax[0].plot(k, np.exp(linear(np.log(k), popt[0]+1, popt[1])),\\\n"
+     ]
+    },
+    {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 720x360 with 2 Axes>"
       ]
@@ -90,7 +102,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 720x360 with 2 Axes>"
       ]
@@ -138,7 +150,7 @@
     "        \n",
     "(k, p_k, CDD), (k_in, p_k_in, CDD_in), (k_out, p_k_out, CDD_out) = get_dist(DG, directed=True)\n",
     "\n",
-    "popt, pcov, CDD_fit = curve_fit_log(k, CDD)\n",
+    "popt, pcov, CDD_fit = curve_fit_log(k[:-1], CDD[:-1])\n",
     "popt_in, pcov_in, CDD_fit_in = curve_fit_log(k_in[:-1], CDD_in[:-1])\n",
     "popt_out, pcov_out, CDD_fit_out = curve_fit_log(k_out[:-1], CDD_out[:-1])\n",
     "\n",
@@ -159,7 +171,7 @@
     "    \n",
     "\n",
     "    ax[1].loglog(k, CDD, marker, alpha=alpha, c=node_color, label=direction)\n",
-    "    ax[1].loglog(k, CDD_fit, linestyle='--',c=fit_color, lw=1,\\\n",
+    "    ax[1].loglog(k[:-1], CDD_fit, linestyle='--',c=fit_color, lw=1,\\\n",
     "                             label=fr\"$γ_{direction[0]}-1 = {round(popt[0], 2)}$\")\n",
     "    ax[1].legend(loc='best')\n",
     "    ax[1].set_ylabel(r'$P_k$', fontsize=15)\n",
@@ -172,238 +184,18 @@
     "fig.savefig('../pres/pics/dist_u.png', dpi=300)\n",
     "\n",
     "fig, ax= plt.subplots(1, 2, figsize=[10,  5])\n",
-    "plot_pk_CDD(k_in[:-1], p_k_in[:-1], CDD_in[:-1], CDD_fit_in, popt_in,\\\n",
+    "plot_pk_CDD(k_in, p_k_in, CDD_in, CDD_fit_in, popt_in,\\\n",
     "            direction='in', node_color='green', fit_color='lime', marker='s')\n",
-    "plot_pk_CDD(k_out[:-1], p_k_out[:-1], CDD_out[:-1], CDD_fit_out, popt_out,\\\n",
+    "plot_pk_CDD(k_out, p_k_out, CDD_out, CDD_fit_out, popt_out,\\\n",
     "            direction='out', node_color='slateblue', fit_color='blue', marker='^')\n",
     "fig.tight_layout()\n",
     "fig.savefig('../pres/pics/dist_d.png', dpi=300)"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "302078e8",
-   "metadata": {},
-   "source": [
-    "# Top nodes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bfcaaf11",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "313a34a7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#top = 10\n",
-    "#top_node, top_degree = zip(*(list_node_deg[:top]))\n",
-    "#cc_node, cc_cent = zip(*sorted(list(nx.closeness_centrality(DG).items()),\n",
-    "#                              key=lambda x: x[1], reverse=True)[:top])\n",
-    "#bc_node, bc_cent = zip(*sorted(list(nx.betweenness_centrality(partial_DG).items()),\n",
-    "#                               key=lambda x: x[1], reverse=True)[:top])\n",
-    "#fig, ax = plt.subplots(1, 2, figsize=[14, 8])\n",
-    "#ax[0].barh(top_node, top_degree, height=0.9)\n",
-    "#ax[0].invert_yaxis()\n",
-    "#ax[0].set_title(\"Degree Centrality\", fontsize=18, fontweight='bold')\n",
-    "#\n",
-    "#ax[1].barh(cc_node, cc_cent, height=0.9)\n",
-    "#ax[1].invert_yaxis()\n",
-    "#ax[1].set_title(\"Closeness Centrality\", fontsize=18, fontweight='bold')\n",
-    "\n",
-    "#ax[2].barh(bc_node, bc_cent, height=0.9)\n",
-    "#ax[2].invert_yaxis()\n",
-    "#ax[2].set_title(\"Betweenness Centrality\", fontsize=18, fontweight='bold')\n",
-    "\n",
-    "#fig.tight_layout()\n",
-    "#fig.savefig('./pres/pics/sneak_peak.png', dpi=300)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "da34aacc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#pat_len = dict(nx.shortest_path_length(DG))\n",
-    "#avg_pat_lens = []\n",
-    "#for node in pat_len:\n",
-    "#    avg_pat_lens.append(np.mean(list(pat_len[node].values())))\n",
-    "#    \n",
-    "#avg_pat_lens = [x for x in avg_pat_lens if x!=0.0]\n",
-    "#avg_pat_len = np.mean(avg_pat_lens)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 280,
-   "id": "fb7886dd",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "r = -0.12470190203061185\t Disassortative\n"
-     ]
-    }
-   ],
-   "source": [
-    "#print(DG)\n",
-    "#print(\"\\n\")\n",
-    "#print(f\"<k_in^2> = {1/DG.number_of_nodes() *sum(np.array(list(dict(DG.in_degree()).values())) ** 2)}\")\n",
-    "#print(f\"<k_out^2> = {1/DG.number_of_nodes() * sum(np.array(list(dict(DG.out_degree()).values())) ** 2)}\")\n",
-    "#print(f\"<k> = {round(sum(p_k*k),2)}\")\n",
-    "#print(f\"<k^2> = {round(sum(p_k*k**2),2)}\")\n",
-    "#print(f\"<d_min> = {avg_pat_len}\\t Ultra Small World\")\n",
-    "#print(f\"d_max = {max(avg_pat_lens)}\")\n",
-    "print(f\"r = {nx.algorithms.assortativity.degree_assortativity_coefficient(DG)}\\t Disassortative\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "1a893aec",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cut_DG = get_graph(req, cut=20)\n",
-    "k, k_nn = zip(*sorted(list(nx.average_degree_connectivity(cut_DG).items()), key=lambda x: x[0]))\n",
-    "k_in, k_nn_in = zip(*sorted(list(nx.average_degree_connectivity(cut_DG, source='in').items()), key=lambda x:x[0]))\n",
-    "k_out, k_nn_out = zip(*sorted(list(nx.average_degree_connectivity(cut_DG, source='out').items()), key=lambda x :x[0]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "0d713020",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f6ef924dea0>]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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/8kv6q8d/IpfkTVetZjK51q6paXz9Ou26/4jmF5t69NhxyUyLjaW5ru+57Hxdt2XitPuStHGWRSOOLyYAwIA+rKXkc52kY5J+L/Lz9ZLe5e5PSpKZ/a6WF19qZ2Z7Jb1F0llmVpd0i7vf7u6LZvYhSV/X0vY0d7j7kazeTNVR1QCQqAYhi6Sy7CNz0QWW1oyZFhuuNWtq+g/bN2nu5PzpZb4Nl+RyLZUJ//KrX9lxO4bx9etWXiPpfZuendP+mbpMik2Ak+CLCcAolaXyBpK7f1fSVJefPxJ5vCDpczHH3dDlNR6Q9MDgV4l+UNWAqiNRDUAWSWXZR+ba79liw2W2VPrbaCzNWm3fJ7Z1H8ZqJpnFlvxKLye/rW1taqbEHQfTs3O6Yc+3Nd9YWuLpnum69u4YrMOBLyYAo1C2yhsAQLmQqAYgi6Sy7CNz7ffMzNRoLiWIDdfK6r+thK/9PkjquC3NrQ8+ofnFl1cT7qfj4OCx48sjtkvKOIoNoFzKXnkDACg2EtUAZJVUlm1kLlqitnPbJn3t8I+16ZxX6bZv/VCLy8lq031Vg6t1H3rtndoaSTVpZUQ1acfBFRedqbVjtjKiWsZRbADlUvbKGwBAsZGoBmKYpLIKc4yiJWo7t21aWSTp0FPP6wO/dqFu+9YP1XTXui5lvd32TnVJNUlvev1ZumbzOX3NUd26cVx7b3rj0HNUAWBUyl55AwAoNhLVgqvKHKNoidrXDv941eMzXrlWX/w3b+zY4Opn79SPXHUxc0sBVAJxCwAQKhLVAmofQa3KHKNoMnnN5nN06KnnV5WsdWtwdStxY1QBAAAACAuJasHElcBWYY5RXDJ5ydlnJE4ueyWjjCoAAAAA4SBRLZjoCOrcyfnKjAZGk8m45LJ9tFlavcJvWsloFeYEAwAAAHkqTaJaleQhroSV0cAl7aPNa5b3TF1spDt3typzgjEaZrZd0vbJycmexwKjVJXvVABAuEqRqFYpeWA+ZWerRpsbLsnl6j13d3p2LvFqvVWZE4zRcPcDkg5MTU3tyPtagJYqfacCAMJVikS1askDI6jxWqPNpxaakqRazST3rnN3p2fndMOeb6/sf3rPdF17d3RulLHvIICyq9p3KgAgTLW8LyANreRhzETyUGFbN47rfW+8QEtjqVKj6frNX/mlldGA6dk57X7oqKZn51Z+5+Cx48ujr0tajbJu57jrA1foD3/rEkYZAJQS36kAgBCUYkSVcli0HPnxP6x6/MRPXpTUuZTtiovO1NoxWxlRjTbK4uZpMaINoMz4TgUAhKAUiapU3uSBBS36c83mc/Q3f/fcyuPZ4yf13tsO6votEyulbPMLTd364BP6yFUXa+vGce296Y3aP1PXcy+e0mvOeMXK76YxT4u/H4DQ0SEHAAhRaRLVMmJBi/7dePn5kqQ9Dz+p2eMnVxZTcknr1tQ0v9BUU9K3/u45ffvJ49p17eaV32nd6/0z9ZXRhGHmafH3AxA64hQAIFSlmKNaVnGJEnq78fLz9Zfv+lW9Yu3Lc6yu3zKhuz5whd70+rNkWprDuth0/fuvfE9/8uXv6d6Z+mkjruPr1yWapxU391Xi7wcgfMQpAECoGFENGCvMDi46x0paapBds/kcffvJ41psLs1Jbbh096NPa+2Yac1YTYuLSyOujxx9Toeeel47t23S3Mn5jqW73UYj+PsBCB1xCsAwmOKELJGoBowFLfoXDZit1X7bk8kP/NqF+ty3fqjGcrLaWiH43Zedp2eeP6lHjj63Mrowd3JeN1852fH1u5UH8/cDkKckDUjiFIBBMXUAWSNRHbF+e55Y0CK5TgEzmkz+w6lFjZnUWP69Wlt5sCQdeur52NGFuNfvNRrB3w/AKES/W/ppQBKnAAyCPZeRNRLVEaLnKVudAmY0mTRppfS3JulNk2etrAAsqePoQtzr33zl5GnHUwYDYJTivltoQALIGlMHkDUS1RT1SlBoOGSrU8CMm6+6f6a+clx7kto6Pu7v0u31W8fTGQFg1OK+W2hAAsgaUweQNRLVlCRJUGg4ZKO9g6BTwGyfr3rw2PGeiyTFSRKQ6YwAMGpx3y00IAGMAlMHkCUS1ZQkSVBoOKQvroOgffGjXsf2+zfoFZDpjAAwap2+W0bdgGTaAwAgTSNLVM3s7ZJ+W9KrJN3u7t8Y1blHIWmCQs9TuvoZwex0bJqNKzojAOQh7+8Wpj0AANI2VKJqZndI2ibpp+6+ue35qyV9UtKYpNvc/RPu/hVJXzGzcUl/IalUiSoJSj76GcGMOzaucSVpqL9j3g1GAMVXtNFJpj0AANI27IjqnZI+LenzrSfMbEzSbklvlVSXdMjMvurujy8f8rHln5cOCcro9dNBEHfs7oeOrmpc7Z+p696ZOqMCAHJTxNFJpj0AYSta5xcgDZmouvvDZnZB5OnLJB1192OSZGZfkHStmX1f0ickfc3dZ4Y5L9Cunw6C6LFxW9e0EtdTC0uJKwEdwCgVcXSSqiIgXEXs/AKkbOaonivpmbbHdUmXS/qwpKskbTCzSXf/bNwvm9lNkm6SpPPPPz+DywNWu27LhGz5fyXpnsee0XzD5ZL2Tdd1/ZYJAjqAkSnq6CRVRUCYitj5BUgjXEzJ3T8l6VMJjtsjaY8kTU1NedbX1Q1lEuUW7WG8bjkhfefUebr70aflWgron/3rJ/Wr572afwcARiKL0Um+z4DqKmrnF5BFovqspPPaHk8sP1colEkUT78NsU49jNdtmVg1qvpXj/9E/+P7P+HfAYCRSXN0ku8zoNpCL81vb79Jwy1oiXLJIlE9JOn1ZnahlhLU90i6MYPzZIoyiWLp1hDrlMB26mGMjqpK4t8BgMLi+wxAqKX57e23NTWTzLTYoFMNS2rD/LKZ7ZX0bUmXmFndzH7f3RclfUjS1yV9X9KX3P3I8Jc6Wq0kZsxEmUQBxDXEpJcD4F9+4wd6720HNT07t/I7rR7GP/ytS04LhtdtmdAr1tZWPiA1/h0AKCi+zwAMa3p2TrsfOrqqHZWGVe23hse25VBdw676e0OH5x+Q9MCgr2tm2yVtn5ycHPQlhhZ6mQRW6zQ62imBbf+7xv1t2//+4+vXae7kPP8OABQS32cAhpHl9IFW+21+oalm2/NjY3SqYYSLKfXD3Q9IOjA1NbUjz+sItUwCp+vUEIsmsOPr1yUOtvz9ARRJt3n6xDMAg8py+kCr/Xbrg0/okaPPqemSSXrHVnZcQKCJKjCIuIZYNIFlrhaAMmLBJABZyXrV4K0bx/WRqy7WoaeeXznH9ctbBqLaSFRRetEEdthgyzYPAELT3gl3aqGpP/rSd3XTb7xON14++v3IiZFAuYxi+gBTFBCHRBWV0N5wGiYQ3v3o09p532E13Rm1ABCM1ojHqYWmXNJTx0/q3335e5I00mSVkV2gnEYxfYApCogaatXfrJjZdjPbc+LEibwvBSUQXflXkm6+crLvYDg9O6ed9x3WYtPVdGmeFekABKI1GrHxzPWrnv/a4R8P/dr9rPbZaQE7AAD6FWSi6u4H3P2mDRs25H0pKIG0Gk4Hjx1Xo+krj2tmrEgHIBhbN47rpt943arnrtl8zlCv2W2LrzhshQMASAulvyi9uJV/dz90tO/S3ysuOlOvWLu0hHqtZtp17WZKVAAEpVXm+7XDP9Y1m88Zuuy33wXomGcGICnms6MXElWUXnRP1F33Hxlo/hQNMABFcOPl56c2L3WQ1T6ZZwagpVMyynx2JEGiikpoNZx2P3R0qO1paIABqBI66AAMqlsyynaBSIJEFZWS1l5glKsAqAo66AD0a3p2Trc++ETHZLSf9hhtruoKMlE1s+2Stk9OTuZ9KSiZTqMD/QTBVg/hqYWmxpbnquaxVyEAAEBWBk0Q29tJLqkWs7ha0moNtgWstiATVXc/IOnA1NTUjryvBeXTPjowPTun/TN17Zuua7GRbJ7EwWPHV4LvYtO1877DuuTsMwicAACgFIaZQ9oq63UtbS/ypsmz9JGrLj7t93tVa7RvCyi9vC0g7a3qCHJ7GmAUWkF476NPx25f02nvwCsuOlNjNVt53HRnr0AAAFBo7e2eYbb2a9+mat3aWmySmgTbAiLIEVVgFNp7/CTJ9HJpSreexK0bx7Xr2s2rSlEInAAAoKii7Z6d2zYNvKZHr7LeJCXF07NzevaFl7R2TU2Li2wLWFUkqqis9on8YzXTO6fO03VbJhKtDnzj5efrkrPPYHI/AAAovOgI6tzJ+aFW/O5U1pukpLj9mDU10w2Xn7/SPmNhpWohUUVldevxS7IaHSthAqgSGohAecW1e7Jo5yTZlqb9mEbT9cuvfuVKksreq9VCoopK6xSER7F3II0+ACFrj1GSaCBiYOzmEL5R7ZmcZCCg0zH3ztRXFrNk79VqIFEFOshyxJReQQB569ZZFo1R12+Z6DkKAnTCbg7FMIpKsSQJcdwx07NzuuexZ1bWFRkbY32QKggyUaXnDSHJYuQzSekLAGSlV2dZe4w6tdDUT188NfDCKgDQLklCHD3m4LHjK9vUmKR3bJ2g3VQBQSaq9LwhFP2MfPaT0CYpfQGArPTqLLviojO1pmaab7hc0l8/8TP9h+2bNHdynukKAAYyTMd/tN10/ZaJjK4SIQkyUQVCkXTks99S3lHNBQGAOL06y7ZuHNc7p87T3Y8+LZfUaCytAnrzlVQ6AejfsFOeaDdVE4kq0EVcYy6uR3CQCf6sGgwgL0kafddtmdD+mTqVH0BJjXJRxzSmPNFuqh4SVaCLaGNOOn3lS0lM8AdQOL0afaGMYLBCOpC+US/qyJQnDIJEFeihvTG3+6Gjp/UISlqZ4C9Jb774NTSmAJRC3iMYrJAOZGPUizqG0vGFYiFRBfrQqUewteiItLToyPTsHEEYAIYUbUzvn6nT0AVSkMcIZ94dXygeElWgD516BKOLjrDdDAAMr70xPVYz7Zuua7HB6CowLEY4UQRBJqrso4qQxfUIsugIgCxUfX5me2P6Ry+8pL3feZr9p4GUMMKJ0AWZqLKPKoqGnkkAaWN+5pJWY3p6do4OQQAdVb1jr4yCTFSBIqJnEkCa0l7spOiNODoEAXRCx145kagCABCgNBc7GXUjLqukmA5BIH8hdnqNehVjjAaJKgAAAUpzBDFpIy6NBigjG0B5hfr5Zp/WciJRBboIsdcQQHWkNYKYpBGXVgOUkQ2gvEL9fDM1oJxIVIGIVnI6vn6ddt1/JLheQxSDmV0k6U8kbXD3d+R9Pai2JI24tBqgjGwA5RXy55upAeVDogq0aR9RqJmp6R5cryH6Y2avlnSbpM2SXNL73f3bA7zOHZK2Sfqpu2+O/OxqSZ+UNCbpNnf/hLsfk/T7ZrZvyLcApKJXIy6tBigjG0B58fnGKJGoAm3aRxTkrlrNZPLgeg3Rl09K+u/u/g4zWydpffsPzey1kl5y9xfbnpt096OR17lT0qclfT7y+2OSdkt6q6S6pENm9lV3fzz1dwJkKM0GaHtSzBQKoFxCGbkktpQfiSrQJjqisHPbJs2dnCcIFpSZbZD0G5LeJ0nuPi9pPnLYmyV90Mze5u6nzGyHpOskXdN+kLs/bGYXxJzmMklHl0dQZWZfkHStJBJVFE7aDdBQF14BUGzR2EJ7rZyCTFTNbLuk7ZOTk3lfCiqGkpbSuVDSzyT9FzP7l5KmJf2Bu/9j6wB3v8fMLpT0RTO7R9L7tTQ6mtS5kp5pe1yXdLmZnSnpTyVdamYfdfc/i/4isQ5lF+rCKwCKrT22zC80tfO+w2q60yFWMrW8LyCOux9w95s2bNiQ96WggrZuHNfNV0523Lph90NHNT07l8OVYQBrJG2R9Bl3v1TSP0r64+hB7v7nkv5J0mck/Y67/3zYE7v7cXf/oLu/Li5JXT6GWIdSa1WpjJmYQgEgNePr16lmpppJtdrpa4qgHIJMVIEQTc/O6YbPHdRffP0HuuFzB0lWi6Euqe7ujy4/3qelxHUVM/t1LS229GVJt/R5jmclndf2eGL5OaDyWlUqf/hblzDKASAV07Nz2nX/ETWarpqZPvBrF650iI3VTD964SXaaCVBogokdO9MXfOLTbmk+cWm7p2pj+zcjOQOxt3/XtIzZnbJ8lO/qcjcUTO7VNIeLc0r/T1JZ5rZx/s4zSFJrzezC5cXa3qPpK8OffFAQUXjVbcqFQDlMaq2Sqvsd2ndS9cZr1yruz5whd592fmSmfZ+52m99zYGFMogyDmqQIi8x+OssBjJ0D4s6a7lJPKYlpLRduslvcvdn5QkM/tdLS++1M7M9kp6i6SzzKwu6RZ3v93dF83sQ5K+rqXtae5w9yNZvRkgK2msoEm8AqpplJ/9uK20tm4c18Fjx7XYYE58mZCoAgldv2VC+x57RgsN19ox0/VbJkZyXhYjGY67f1fSVJefPxJ5vCDpczHH3dDlNR6Q9MDgVwn0L82tGdJqZBKvgGoa5We/08KXae0FjXCQqAI9tDcG9970xpGvCEzgBRCVRmLZHtvSamQSr4BqGvVnv7WVVqvcuNUuS7pzQ9odfewWkQ0SVaCLuMbgzVeOdisRtswBENUtsUzSaIrbgzCNRibxCqimPD77nTrsep077vckDXTtTHfIFokq0EUoZWxJAi+A6ug0epG00RSNbXMn51NrZBKvgGoa9Wd/0DZa9Pf2z9RXFszsN9kMpZ1YViSqwLK4UQjK2ACEqNPoRdJGU6fFSGhgASiKQdto0d8zaeBkk3ZitkhUAXUvH6GMDUCI4hLLpI0mYhuAohs0jkV/T5L2z9QHSjaJpdkiUQXUfRSi31EGJtUDyEs/jSZGUAEU3aBxLPp7wySbxNLskKgCSq90g0n1API2bKOJzjYAZZIkppFsholEFVB6pRvtI7OnFpYm6BP4ABQFnW0AyuTuR5/WzvsOq+lOTCugWt4XEMfMtpvZnhMnTuR9KaiQrRvHdfOVk0MFsCsuOlNraiZJckn7puuanp1L6QoBYHitfQfjYlPcNAgAKKLp2TntvO+wFpuupi8tmERMK5YgE1V3P+DuN23YsCHvSwH6snXjuN45dZ5s+XGjQVAEqqxbUpiH1ojpX37jB3rvbQdPu67WNIgxEytYAii0g8eOq9H0Vc+Nr1+X09VgEJT+Al0MMlfrui0TA68eB6A8Qiyj7bV9TadpEMxbBVAk07NzevaFl7R2ef0Rl+Qu7br/iC45+wziWEGQqAIdDNrIZKlyANJoNoLvN4FMsnBcdFGRbrGQBBZAaNpj1pqa6V9MbND3nj2RaSxGNkhUgQ66NTJ7Nc5YPQ5A1hvBD9KZNkhHWqdYGOKIMQDcO1PXqYWlUdRG07Xp3A36wU9epNKtgEhUAcUnnp0amdGeundOnafrtkzQQAOwStbVFYOO2LaOac2f7/U7nWLhKEaMAaAf07NzuuexZ9SamTo2VtP1WyZ0/ZYJqj8KiEQVlddpVKBTI7O9cTbfcN316NO657FntPemNxL8AKySZXXFoCO2/Y6EdoqFWY8YA0C/Dh47rsXlBZRM0ju2vjyQQButeEhUUXndRgXiGpmtxtk/LTRXnptvuPbP1Fdejx47AFkbdMR2kJHQuFjIfHwAoYl2oF2/ZSLvS8IQSFRRaa1V4daM1dRoJBsVaDXOdh04or+tv7zX73MvnmK+FoDMRacq9Btn0hwJZT4+gJDQgVYuJKqorOhc0/dcdn7HuaZxDcOd2zfphs8dXGnsveaMVzBfC0Cm0ljAiIYcgDKjA608SFRRWe3lb42m65df/cqOSWqnOax7d7zc2JOU6/6pbBMBlF9aCxjRkAMAhI5EFZXSnsz1Kn9rHfujF15KPIc1r1EKtokAqqFb3KKzCgBQJiSqqIy4ZK5TYhktC046hzWvUQq2iQCqoVPZLp1VAICyIVFFZcQlczdfORnbmIuWBb/7svN07qtfmdlIxbAjIWwTAVRHXIdYnp1V07Nz2j9Tl0nsKQ0ASA2JKiqjn2Su0/LmB48dl5TuXlwsjgJgWP12VqVVJjw9O6cb9nxb842lfQvvma5r7w5GcwGEi2kSxUGiisroJ5mLHisps7I6FkcBMKx+4luaZcIHjx3XwnKSKjH1AEDYolO73jl1HpUgASNRRaX0k8y1H7v7oaOZldVRtgsgDUnjW5plwldcdKbWjtnKiCoxDEDI2uPffMN196NPa/9MnXn9gSJRRWUMU+qRZTJJ2S6AUUoznm3dOK69N72ROaoACqEV/04tNOWSXC932EmiLRaYIBNVM9suafvk5GTel4KS6LfULZrUZpVMtp/n5itH+++dORpANaUdz5h2AKAoWvFv/0xd+6brKzs6jK9fx8rpAQoyUXX3A5IOTE1N7cj7WlAO/ZS6jWqbh7TP00/iyVYWQLWRXAKoqlb8u37LxEq7iW3+whRkogqkrZ9St7hgJXVfTGmQ0ck0g2K/iScBGQAAVE1cxVwL64WEh0QVldBPqVtcUtstsRt0dDLNeWL9Jp4s4AQgS0wtABCabu011gsJE4kqKiNpqVv7/AVbfq5bYjfo6GSaQbHfxJOADCArnRqDJK8A8tSrvdZqJ07Pzmn3Q0eHilXEu3SQqAId3DtT1/xiU/tn6tq5bZOu2zIRu6rlMKOTac0TGyTxZI4agCwMMn0CALI2vn6damaSvGN7LY01PFgHJD0kqkCMVftsLTS1877Darpr3ZqartsyserYUEYnSTyBMFWtZ73f6RMAkLXp2Tntuv+IGk3XWM20c9um2BiURqwi3qWHRBWI0d7QMjM13bsGnCRJYtUaqwCq2bPeqfOOefEA8tJKHl2Su2vu5HzscWms4cE6IOkhUQVitDe0xtev0677jwwVcKrYWAXQf896WTq0op13oVSeAKimpMljGrGKeJceElWgg/aG1iVnnzFUwKEMBKimfnrWy96hxfQEAHnpJ3lMY1El4l06SFSBBIYNOJSBANXUT+Morw6tsoziAkA3/bTlyt5xWBQkqsAIUAYCVFfSxlEeHVo0xjAsM3u7pN+W9CpJt7v7N/K9ImB4VMKFgUQVGBHKQAB0k0eHFo2xcjGzMUmPSXrW3bcN+Bp3SNom6afuvjnys6slfVLSmKTb3P0T7v4VSV8xs3FJfyGJRBWFl1XHIRUs/SFRBQqmU5Aj+AH5SuMzOOoOrX7n0HZ6f8SfYPyBpO9raXRzFTN7raSX3P3Ftucm3f1o5NA7JX1a0ucjvz8mabekt0qqSzpkZl9198eXD/nY8s+Bwsui45AKlv6RqAIF0inIEfyAfBX1M5i0Mdbt/RX1vZeNmU1oqQT3TyX9Ycwhb5b0QTN7m7ufMrMdkq6TdE37Qe7+sJldEPP7l0k66u7Hls/3BUnXmtn3JX1C0tfcfSa1NwTkINrplmYso4Klf7W8LwBAcnFBrtvzAEajyJ/BrRvHdfOVk30v9JTkZ3lordQ5PTuX63Xk4FZJ/1ZSM+6H7n6PpK9L+qKZvVfS+yW9s4/XP1fSM22P68vPfVjSVZLeYWYfjPtFM9tuZntOnDjRx+mA0Wp1uv3lN36g9952MDaGDBNfWhUsY6auFSwVjmGnYUQVKJBOZXqsKgzkq+yfwW7vL6T3XtXRXTNrzSmdNrO3dDrO3f98eST0M5Je5+4/H/bc7v4pSZ/qccwBSQempqZ2DHs+ICu9RjyHjS9JKliqGsM6IVEFlhVhjlWnIMeqwkC+yv4Z7PT+WnFz57ZNmjs5n/t7r3Bp3Zsk/Y6ZvU3SL0h6lZn9N3f/1+0HmdmvS9os6cuSbpH0oT7O8ayk89oeTyw/B5RCr063NOJLr3LiCsewWCSqgIrVg9UpyLGqMJCvsn8Go+8vxLgZ0ujuKLn7RyV9VJKWR1T/z5gk9VJJe7S0ou8PJd1lZh93948lPM0hSa83swu1lKC+R9KNqbwBIAC9OhxHEV+qGsM6IVEFNHwPVhqjsUUY0QWAlhB7/ss+sj2k9ZLe5e5PSpKZ/a6k90UPMrO9kt4i6Swzq0u6xd1vd/dFM/uQlua5jkm6w92PjOrigVHo1uE4ivhCDFuNRBXQcD1YvUYVkiSgIY5MAKi2XrEr1J7/so9s9+Lu35T0zZjnH4k8XpD0uZjjbujy2g9IemDoiwQKKq340i2+Vj2GtSNRBTRcD1a3UYWkCWiIIxMAqqvXdjStWEnPP4Ai69Uhl0W1WzS+hjLHP0QkqsCyQXuwuo0qJE1AQx2ZAFBNnbac2T9T177puhYbLyewN185mfPVAkD/klTEDVLt1p7cSjot0W2Pr/MLTe2877Ca7lTUxSBRBYbUbTS2lYDOLzRlZhpfv67v1wCAUYt2no2vX6f33nZQpxaa8uVjTi00tX+mTrwCUEi9BhP6rXabnp1b1ZlXM8ll8kgS2h5fzUxNdyrqOiBRBVLQbSXends2rfSW7br/iC45+wxW7QVwmpAWVIt2nrUabN52jEvaN13X9Vsmcr9eAOhXr2q2JNVurbj94ksLuu1bP1Sj6StxsumSlh/NtyWh7fF1fP067br/CBV1HZCoAhmbOzm/qrds/0w90eJKgzZYQ2rsAkim3xKzUXzOo51nrQabJDWWW2KNBiMAAIqpVzVbr5+34nZ7pUknNbNVSWh7fL3k7DNot3VAogpkrL1Hbqxmp83vigalux99euD5Cu2N3TU10zunztN1jHYAweunxGzYVcIHSXIZAQBQRr2q2br9PK7SRJLGTPrNX/klffOJn2lxsalazbTr2s1dt72hnRaPRBXIWHsD70cvvKS933m6Y2N0enZOO+87rMXm6aUiSayaoN9w3f3o09o/U2dyPhC4fhZUG2aV8GGS3PaFQEJZpZIKEgB5aV+HpCnJJI0tJ6U3Xn4+8SkFI0tUzewiSX8iaYO7v2NU5wVC0Oota02079QYPXjsuBrNl/vmoqUivbSCZqsMxcXkfKAI+llQbZhVwvNKcrMQ2vUAKKZBE8popUm0846R0uENlaia2R2Stkn6qbtvbnv+akmflDQm6TZ3/4S7H5P0+2a2b5hzAkXWqzF6xUVn6hVrl3rnepWKdHv91qpzjcbpDVl6+IAwJW3UDLNKeF5JbhZCux4AxTNshxfJaLaGHVG9U9KnJX2+9YSZjUnaLemtkuqSDpnZV9398SHPBZRCt6CWxjY1rde/fsvEaa/DCARQDoM2jvJKcrMQ2vUAKB46vMI2VKLq7g+b2QWRpy+TdHR5BFVm9gVJ10oiUUVQ0hpZTHuEMq3eubjXISADyCPJzULc9VAxAqAfdHiFLYs5qudKeqbtcV3S5WZ2pqQ/lXSpmX3U3f8s7pfN7CZJN0nS+eefn8HlAemNLIa4pUQ3BGQAwwitzK39eqgYAdCv0DrgsNrIFlNy9+OSPpjguD2S9kjS1NRUr22JgIGkNbLY7XWiSWkIjSgCMoA8ZNFJF31NKkYADCK0Dji8LItE9VlJ57U9nlh+DgjGMCOL7Y2jTq8Tt5+ppL72ScwqmSQgAxilLDrp4l6TihEAKJcsEtVDkl5vZhdqKUF9j6QbMzgPMLBBRxbjGkdxrxO3n+naMdOasVrsSry9zkFiCaCoshjpjHvNm6+cpGIEAEpk2O1p9kp6i6SzzKwu6RZ3v93MPiTp61ranuYOdz8y9JUCKRtkZLFT4yhum5nofqaNpuvdl52nc1/9yq6NKMrXAJRJFiOdnV6TihEAach7TREsGXbV3xs6PP+ApAcGfV0z2y5p++Tk5KAvAWQiaYOr036m12+Z6BnwKF8DUCZZzI1nvj2ArPRT2UZCm62RLabUD3c/IOnA1NTUjryvBWjXT+Oo236maZ0DQP5oqPSWxUgno6cAhhUXv5NWtjFVK3tBJqpAyPptHA3SmKIBBhTDMA2VJAkuSTAAZKNT/E5a2cZUreyRqAIZo6EJlNegDZUkCW7SJDitGEOsAlAlneJ30so2pmplj0QVyBBlIeiG+fjFF22ojK9fp90PHe2Z7CVJcJMck1aMIVYBqJpuiWaSyjamamWPRBXIEGUh6Ib5+MXX3lAZX79Ou+4/kijZS9ITn+SYtGIMsQpA1aSRaDJVK1tBJqqMMqBIupXLURYClF+robL7oaOJk70kDaT21cOtw7nTijHEKgBVRKIZtiATVUYZUBS9yuUoCwGqo99kr1sDqdUBNr5+ne6dqWt+san9M/XMYkw/rxPXOcf8VgBA2oJMVIHQdGqEJSmXC7W3joYlkK60ksb2DrCamZruI4kxSV4nrnNOEvNbAZQabaZ8kKgCPXQbNS1quRwLpwDZSCNpbO8Ak7tqNZPJg4gxcZ1zkpjfCqA0oknpKNtMJMSrkagCbfrd+Lmopb0snAKEK9oBtnPbJs2dnA8ixnTqnAupw46GHoBBxSWlo2ozdapYqXI8I1EFlg268XOopb3dFHUkGKiCkDvAOl1bKNdLtQiAYcQlpZ3aTL06xfrtNIuee/9MfWWNgqrGsyATVVb9RR6G3fi5SMr4noAyCbkDLO7a2itQ2h+PGtUiAIYRl5TGtZl6dYoN0mkWPbeJaRVBJqqs+os8DLvx86DyKlMLuSEMoFhCGcmkWgTAMDp15EfbTL06xZJ2mkXbgO3nlqT9M/VKx7MgE1UgD3mMMobSuAOAYYQykkm1CIBhxXXkRxPKXp1iSTrNOrUB289d9XhGogq0GfUoYyiNOwDVNmxlR0gjmVSLAEhTp4SyWxKZpNOsyFscjgqJKpCjkBp3ALor4mqySa45jcoORjIBlFW3NUy6xbpeP6cN2BuJKpCjQRp3RWwsA0VXxDL9pNecVmVH1Xv+AZRTVgklHXy9kagCOeuncVfExjJQBkUs0096zaH16tMZByAkcYsc7X7oaM9KlWgci3uODr7ugkxU2Z4GiFfExjJQBqElc71Mz87p2Rde0pqxmhqN7tccUq8+nXEAQtOeYErqGaPi4liS38PpgkxU2Z4GiDdMY5lRCmBwISVzvbQ3ktbUTO+57Hxt+uUNXfc4DaVXn844ACGJxtNfOedVPWNUXByT2BN1EEEmqgDiDdpYZpQCGN6ok7lBOpemZ+d064NPrDSIGk2XS9p1/5HMP/9pdIYVbeQaQLm1J53zDdff1k9IkmqmjjGqUxzrFNsYSOiMRBUomEEay4xSAOHIaiXe1u+cWmjK9XJDypR9T35anWFFGrkGUH6tpLMVVyWpJulNk2fpI1dd3LFCJS6OxT3HQEJ3JKpAQfXTA8coBRCGLFfibf2Oa3VDSpL2z9Qz/fyn2RkWShkyALSSzv0zde2brq/M+e+UpLb/XvvPO7XZGEjojkQVKKB+e+AYpQDCkOVKvNHfaW9IZf35pzMMQFm1ks7rt0wMFEe7tdmInd2RqAKBSTJSOkgPHKMUQP6SNko6dS51iw/dOqSy/vwn7QxrXf/4+nWaOzlPxxmAwhg0jnZrszGQ0B2JKhCQpCOl9MABxdRPoySudKxXfIhrSI1qoY5ejbi4ObTMyQJQdnFttmhcJgbGCzJRZR9VVFXSkVJ64IDiaW+Y3Hxl/99vg1RShLRQR/scWknMyQJQCdE2m8SeqkkFmaiyjyqqqp+RUnrggOJII2EcpJIimtzun6nn1sHVuv75haaa6r69AwCUSXubbfdDR1lAKaEgE1WgqhgpBcopjZUdB4kP7cntWM30pceeUaPhWjtm2nvTG0caY9qvv985qnHly+w9CCAE/cYipm8lR6IKBIaRUqA4kjZQ0mqY9Bsf2pPDv33mBX3j8Z9IWtq4fv9MfeSxpp/rb194adf9R1aNRkuUzgHI3yDVMgxKJEeiCmBojGygKtr/rUvJk6U8Gyat5PBPvvy9Vc9b5LiQPsftjb+amZruq0ajJVE6B2DkonGy32qZYdcqqBoSVQCxkjZaQ1qsBchS9N/69VsmOjZQ4j4/w1ZLDJtIXrdlQvdM11dGda/bMtHxveX1OW69xx+98NLKvZW7ajWTyVeNRvczQh1SEg6gmOLiZD/VMmnE2arFMhJVAKfpJ5imMfcOyNsg+xe74pOlLJK+NF5z68Zx7d0RP6obwue4/T2uqZnWjNXUaCzd253bNp02pzXpCHUoSTiAYmuPk/MLTd364BP6yFUXJ45Fg67cXuXVgklUAZymn2DKogAoukH3L75+y4Su3zJxWgMl7aRvenZOtz74RCqv2WlUN4TPcft9azRd777sPJ376ld2bPwlHaEOIQkHUHzRlcsfOfqcDj31vO76wBWJynjH169TzUyKVId00k8VT1mRqAIDKHvpRb/b5LAoAIps2P2Lo8emmfS1GiqnFpZGcNPY0qVTWfKoP8fR64jrCNi6cVzTs3Pa/dDRga8rhCQcQPG14uStDz6hR44+19e81P0zde2brqvRdI3VTDu3bVqJb53ibtIqnjIjUQX61Gn0pejJa/T6+2m0slIxiizt/YvTTPpaDRWXVJP0psmz9JGrLh74NbuNHrePCLc/zkKn64jet7RKnulMA5CGrRvH9ZGrLtahp57va15qq7NRktxdcyfne8a3pFU8ZUaiCvQpbvRFKva8gU7BskjvARhUFolMWp+faENlmCRV6j56HI0DcfNC4wzSSdfpOqL3La2yXeIZgLT0853R3tkoLa223kpue8W3pFU8ZRZkompm2yVtn5xk2WaEJ270pehzoIp+/cCwQk1kkjaI0tjPNbpQyM77Dqvpvmrv0ug5Bh3xTDqKTdkugBAl/c5oj2FjNdM7p87TdcvTGqTepbyhfjeNSpCJqrsfkHRgampqR97XAkR1ajgWuTFFYxB4WWhl/L0aKv0ki90S3/aFPqJ7l+6fqevemfpp5xi0kytpAk7ZLoAi6xbDiG+9BZmoAqGLNhyLHmyKfv1AWoq4z12/yWJc4js9O6dd9x9ZWejjA792oe789lMrnVcmxZ5jmE6upCMFw4wohNbpAKB6us3/r/qIaS8kqkBK8g42wzbI8r5+YJQ6fV6GLYPPY8/OJMlir/jQPo/K3XXGK9eu6rySpP0z9dPOEXInF/unAhhWv22ruOOJRYMjUQVKgCAIJNft8zJsGXwe8717JYtJ4kPc+452XnUrX2t/HMooJnPvAQyj37ZVp+OJRYMjUQVKgCAIJNft8zLsCGFe8727VUREF0m69cEnTls9OMn7TlJ1EVKnGXPvAQyj37ZVp+OJRYMjUQVKgCAIJNfr8zJMGXyIpbCt9zu/0FRT0iNHn9Ohp54/LYkc9H23j6CG1GkW4t8CQHH027bqdDyxaHAkqkAJEASB5LL+vGQ937vf0trW+731wSf0yNHnUk0i4/ZeDanTjLn3AAbV73dFrxV+iUX9I1EFSoIgCCRX1M/LoKW1WzeO6yNXXaxDTz2fahIZHUGdOzlPpxmA0uj3u6Ko3y2hIlEFMhLCgiIhXAOA9AxTWpvFSHKSRZgAABgEiSqQgRAWFAnhGgCka9j56GknkUw7AABkhUQVyEAIC4qEcA0A0tVKDPfP1GV9/F6W1RWMoAJA9qpYJUeiCmQghFV4Q7gGANk0Lu6dqWt+san9M/WB9/YbRL/vpYoNKwBIW1Wr5IJMVM1su6Ttk5OTeV8KMJAQyuFGeQ00RoF4WTQu0trbr1/9vpeqNqwAIG1VrZKr5X0Bcdz9gLvftGHDhrwvBRjY1o3juvnKyVwDySiuodUY/ctv/EDvve2gpmfnMjsXkJfp2TntfuhoX/++p2fndOuDT5zWuBhWq1pizNTX3n5Jj+8krqGU9Pj5haZuffAJ4gMAdNDteyatOF40QY6oAiiOqvbyoToGGRls/c6phaZcUi3FxkWae/v1o9/pBK3j5xeaakp65OhzOvTU84ysAii8tCvJen3PhFCplwcSVQBDYS4syi7aGbN/pt6zsdD6HddS6dKbJs/SR666eNXxrYbO+Pp1mjs531fjI4+9/QZNkG998Ak9cvQ5OrMAlEI/nZftCa2kjvEzSad/P3G8LFOySFQBDKWqvXyojvbOmLGaad90XYuN7g2UaAdOXJIaHXEtwjzOQRLkj1x1sQ499TydWQBKIWklWXtCu6ZmklnH7440O/3LtD4AiSqAoQ06WlOWHj+UW3tnzI9eeEl7v/N0zwZKrw6c9hFXSX2PNhbps0NnFoAySZpUrkpoGy7J5YqP9WnGyTJNySJRBSosz8ZumXr8UH6tzpjp2Tntn6kn6vXu1oETnb9pksZqlqgXPa3Pzig//+y1CqAskiaV0WocmanR6PzdkVacLNOULBJVoKLyThTL1OOH0curk6W9gTK+ft3Kyrf9XkPrdfbP1HXPY89oseGSWaLfTeOzk/fnHwCKLElSGU1opc5zVNO+trJUsZCoAhWVd6JYph4/jFbeSVbrXMNew9aN4zp47LgazaVysEYj2ecwjc9O3p9/AKiCaEI7qjhblioWElWgovJOFMvU44fRCiHJSusaBvkcpvHZyfvzj/Iws7dL+m1Jr5J0u7t/I98rAlAWJKpARYWQKJalxw+jFUKSldY1DPo5HPazE8LnH+kxs1+Q9LCkV2ipbbfP3W8Z8LXukLRN0k/dfXPkZ1dL+qSkMUm3ufsn3P0rkr5iZuOS/kISiSrQJo2pKkVaQC9NJKpAhZEooogGSbKSfMn30xBIM9HL63PI579UTkn6V+7+czNbK+lbZvY1dz/YOsDMXivpJXd/se25SXc/GnmtOyV9WtLn2580szFJuyW9VVJd0iEz+6q7P758yMeWfw5gWRpTVfKe7pInElUAQOH0u/F5ry/5QRoCWSV6SRPmqvaw43Tu7pJ+vvxw7fJ/HjnszZI+aGZvc/dTZrZD0nWSrom81sNmdkHMaS6TdNTdj0mSmX1B0rVm9n1Jn5D0NXefSes9AUUUjctpTBMJYbpLXkhUAQClluRLPpSGQNKEuco97Ii3POI5LWlS0m53f7T95+5+j5ldKOmLZnaPpPdraXQ0qXMlPdP2uC7pckkflnSVpA3LI7Sfjbm27ZK2T05O9vOWgEKJi8vdpokk7WwMYbpLXkhUAQClluRLPpSGQNKEuZ/EetiR15BGbkO6ltC4e0PSr5rZqyV92cw2u/vhyDF/vjwS+hlJr3P3n8e8VL/n/ZSkT/U45oCkA1NTUzuGPR8Qqri4fPOVk7HTRPrpbKzymgIkqsCI0MAC8pHkSz6UhkDShDnpccOOvIY0ctt+LWtqpndOnafrtkwQTyPc/QUze0jS1ZJWJapm9uuSNkv6sqRbJH2oj5d+VtJ5bY8nlp8DoM5xOW6aSL9VPFVdU4BEFRiBkBp7QBUl3Zw9789l0oS5/bjx9et08NjxledbpmfndOuDTwxV0tzemJrPeW7UqmtpuO5+9Gntn6kTTyWZ2WskLSwnqa/UUknvf4wcc6mkPVpa0feHku4ys4+7+8cSnuaQpNcvlw8/K+k9km5M6z0ARddPh2dWVTxlGxQhUQVGIJT5bwDClzRhbh0T1wnW6hw7tdCUS6qZBmoMja9fp+bykjxNX3qcl1bDrvWeXMTTNudI+q/L81Rrkr7k7vdHjlkv6V3u/qQkmdnvSnpf9IXMbK+kt0g6y8zqkm5x99vdfdHMPiTp61ranuYOdz+S1RsCiqif+J12FU8ZB0VIVIFlWfZChTL/DUA++okvccd2+v1OnWCt511LWcubJs/SR666uO/YNndyXiatvM7hH53Q7oeO5tJb32rY7Z+pa990XY0G8bTF3f+XpEt7HPNI5PGCpM/FHHdDl9d4QNIDA14mgDZpV/GUcVAkyESV1eEwaln3QmW172OaylYuAqQhrY3ao/FFUuzr3v3o09p532E13Vcd2yk+deoEiz6fJEmNe69XXHSm1o6ZFhquWk3aN13XYiO/3vpWw+76LROlWSAKAIbRimfj69eVblAkyESV1eEwaqPohUp738c0lbFcBBhWXNI4yOciGl/2z9R170w9tlx3532Htbhca9uaE9r6/3HxqVMnWL+dY51iwA/+/kU1XMultqbFxnBxMq0EcZiRCOIdgDKYnp1bqTBpdSDu3LZJcyfnS9MJF2SiCoxaaKW5oy7fKGO5CDCMTknjIJ+LaHwxxSeeB48dV6M1IVRSzWwlFq2pLY1qjtXstPjUKWnrJ5mLiwGStPO+wyvX1Gwund/kA8XJUBJE4h2AoouuQyAtxbO5k/O6+cryVKSSqAIKZ2uKllEnzqEl6oCUb3lmt6SxX9H4Ikn7Z+qx5bqvWFvT/EJTtZpp17WbV0ZaZcszRc2Gfm9x4mJA9B6MLV/ToL31oSSIxDsARde+DoEkmQZbMC90JKrAshC2pmgZdeIcWqIO5D361ilpHFQ0vvRTrnvw2HEtNpYaJI1GdlMT4s4dvQc3Xn7+wOcIJUEk3gEouvZ4OlbifaVJVIGMDDsaNOrEOaREHch79C3rZKafct1eCV5W8z7TvgchJYjEOwBFFlI8zRKJKpCBvEeDgKILYfSt3wXQskxqOzVIRrFieV6vx8q8ANBZFTrcSFSBDOQ9GpQVGo4YlSL1Fo+iY6pTg6TMsaa1UMhYCmXHAIDiIVEFMhDCaFDaGCXGqBWlt3iUyWK0s2jYWBN9vVA6ow4eO76ymuVi07XzvsO65OwzCvHvAQAGEUr8DQmJKpCBIo0GJVXWkRuUz6i/7EfVMdWps2jQWBN9vZ3bNmnX/UdG3hkV9/e64qIzNVazle2Bmu7EHAClxWBAPBJVICNFGQ1KqoyjxAhHWsllHl/2o+qY6tRZNGisib7e1w7/eOSdUZ3+Xls3jmvXtZu1877DarprHTEHQIkxGBCPRBUIWEhlIGUcJUYY0kwu8/qyH0XHVNqdRdHXu2bzOTr01PMDvf6gsarb3+vGy8/XJWefQcwBUHrd4ntIbcFRI1EFAhViGUjZRokRhjSTyzKP/I9iu5hBEsNhYlWvvxcxB0AVdIrvVV9YjkQVCBRlIKiKNJPLXslc0Xums94uZpDXHyZWUakBoAzS+G6Ji79VX1iORBUIVB4jQ1k34oueJCAbWYwUxr1GiFUKZTC+fp1qZpJ8oFjFqCmAIsvyu6XqC8uRqAKBGvVIQ9aNeJIEdDOKZIUqhfRNz85p1/1H1Gi6xmqmnds2cU8BVEr0u2X/TD3VjtcqLyxHogoEbJQjDVk34kkSkLcyz1/NS+tz7ZLcXXMn5xP/LhUWAMqg/btlrGbaN13XYiO9TvkqLyxHogpAUvaNeJIEZCku6Yk+x3zI9A36uabCAkBZtH+3/OiFl7T3O0+n3ilf1SkSJKoAJGVfaly1JMHMLpL0J5I2uPs78r6eMotLeiR13J8zpH97IY4q9nNNg36uqbAAUCat75bp2Tntn6nTKZ8SElUAK7JuxOeVJJjZmKTHJD3r7tsGfI07JG2T9FN33xz52dWSPilpTNJt7v4Jdz8m6ffNbN9wV49e4pIeScEnQiGOKg5yTUk+19HktygVFiF2JAAIVx7ri5Q5RpGoAqiCP5D0fUmviv7AzF4r6SV3f7HtuUl3Pxo59E5Jn5b0+cjvj0naLemtkuqSDpnZV9398VTfATrqlPSEngiFOKqYxTV1Sn5Dr7AIsSMBQPhG1SlfhRhFogqg1MxsQtJvS/pTSX8Yc8ibJX3QzN7m7qfMbIek6yRd036Quz9sZhfE/P5lko4uj6DKzL4g6VpJJKoj0inpCT0RCmFUcRQjnZ2S39DKsKNC7EgAgJYqxCgSVQBld6ukfyvpjLgfuvs9ZnahpC+a2T2S3q+l0dGkzpX0TNvjuqTLzexMLSXHl5rZR939z6K/aGbbJW2fnJzs43SIE5f0hJ4I5T2qOKqRzhAS8kEU9boBFFc/pbxViFEkqgBKy8xac0qnzewtnY5z9z9fHgn9jKTXufvPhz23ux+X9MEexxyQdGBqamrHsOdDMaWdTPfTyBnVSGdWCXnWc7Py7kgAUC39lvJWIUaRqAIoszdJ+h0ze5ukX5D0KjP7b+7+r9sPMrNfl7RZ0pcl3SLpQ32c41lJ57U9nlh+Dhipfhs5o+yNzyIhH8XcrNBH5QGUxyClvGWPUbW8LwBAGKZn57T7oaOanp3L+1JS4+4fdfcJd79A0nsk/c+YJPVSSXu0NK/09ySdaWYf7+M0hyS93swuNLN1y+f5aipvAKWT5ees0+rHnbR64//wty5JlOiFFCP6fa8AELpW5+GYqbSlvP1iRBVAJVaO62K9pHe5+5OSZGa/K+l90YPMbK+kt0g6y8zqkm5x99vdfdHMPiTp61ranuYOdz8yqotHcWT9ORtkhDRpb3xoMWKY0eCyb+cAoJiGKeWNi2tliHUjS1TN7Bcl/T+S5iV9093vGtW5AXRXhZXj3P2bkr4Z8/wjkccLkj4Xc9wNXV77AUkPDH2RKLVun7M0GhS9GjnDnCO0GDFogy60hBsA2g2yL3VcXJNUilg3VKJqZndIai1Wsrnt+aslfVJLowu3ufsntLTdwz53P2BmX5REogoEogorxwF56/Q5SzN56tTI6dSQyXt1yWGS50HmZoWWcANAP+JieaepEGWIdcOOqN4p6dOSPt96wszGJO3W0vYOdUmHzOyrWlpg5HvLhzWGPC+AFFVh5Tggb50+Z6NInqLn2D9T170z9VxXl4w2uHZu26S5k/OZxiA65QAUWdz3Rae41qljtEhtvaESVXd/2MwuiDx9maSj7n5Mkpa3fLhWS0nrhKTvikWcgOCUfeU4IARxn7NRJE/Rc5j6721PO0a0N7jmF5raed9hNZqusZpp17WbdePl56d2rhY65QAUWdz3Rae4Fn1uenZON+z5thYarrVjpr03vTH4GJjFHNVzJT3T9rgu6XJJn5L0aTP7bUkHMjgvAACFM4rkKXoOSdo/U19p7IyvX6fdDx0dafLW3uAyMzWaLpe02HTtvO+wLjn7jFXXktZIAJ1yAIqq0/dFXFyLPrd/pq75hkuS5huu/TP14GPhyBZTcvd/1NLWD12Z2U2SbpKk889PvzcVAIC8dEq2RpE8Rc/RauyMr1+nXfcfGfmiG+0NrvH167TzvsNabC41oprupy02VYaFQQBgWIN+X1iPxyHKogT3WUnntT2eWH4uEXff4+5T7j71mte8JvWLAwAgD61k6y+/8QO997aDqe9H2u8+p1s3juvmKyc1d3I+tz1JW9dw4+Xna9e1m7WmZqrZ0tyq9hJo9k0FgOFct2VC65anfqxbU9N1WybyvqSeshhRPSTp9WZ2oZYS1PdIujGD8wCVUbTJ7wBOl+WiSa0k+NRCs+85nqEsMHTj5efrkrPPiI11oVwjABTV1o3j2rujWHP0h92eZq+kt0g6y8zqkm5x99vN7EOSvq6l7WnucPcjQ18pUFGUvAHlkGWydfDYcZ1aaHad49lJViv6RhfxSPL6nUraWAQJAIZXtDn6w676e0OH5x+Q9MCgr2tm2yVtn5ycHPQlgNJg3z8gO6OsVsgy2briojM1VrOOczyTXFvao7vt286kMQe2aA0sAMBwgtwmxt0PuPtNGzZsyPtSgMz1mlfWGoUZM1HyBqQo6zmjcVpzMtNOuLZuHO86xzMNSefARjvXvnb4x8wvBYAh9bsOQRmMbNVfAKdLUtZLyRuQjbJVK3Sb4zmsbrEqOiodLXG+ZvM5OvTU88wvBYABVXUaGIkqkKOkDeWQSt5Y2AllUcYFerKKFZ1iVafGU7RzLasEGgCqoGwdq0mRqAI5KlpDuao9eiinolUr5NlJ1ClWdWo8RRPmuASaTi8ASKZo7cW0kKgCORq0oZxXA6+qPXoor5CqFbrJu5OoU6watPGU9/sBgCIpWsdqWoJMVFn1F1XSb0M5roEnaSTBq6o9ekDeupXejnLV4rTm0NPpBaDq+o3fRelYTVOQiaq7H5B0YGpqakfe1wKEJtrA2z9T170z9Z4jE2k0aKvaowfkLa6TqNeoZNLPfL+xIXr8II0nOr0AVBlVJckEmagC6CzawDOp58hEmgGxij16QN7iOol2P3S042c/6We+39iQZiy5bsuEbPl/h40pzHcFUCRUlSRDogoUTLTBKkn7Z+pdRyYIiEDxRTuJuo1KJv3M9xsb0ogl0WR30y9vGCrJnJ6d0w2fO7hyH/buYGQCQNioKkmGRBUooGiDtVc5LgERKJ9upfhJP/P9xoY0Ykl7sju/0NTO+w6r6T7wCG1r6oO0VF1y70ydRBVA0EKcShViZQqJKlACvcpxQwyIAIbX6bOf9DPfb2xII5a0J7tmpqb7UCO03uMxAIQo76lU7YmppCDnzAaZqLLqL5C+vAMigNFK+pnvNzYMG0vak93x9eu06/4jQ43QXr9lQvsee0YLDdfaMdP1WyYGvjYAqILoFIzrt0wEOUUsyESVVX8BACiXuNWCJemSs88YaoR268Zx7b3pjVSMAEBC0fUGXApyiliQiSqA7IQ4BwFAuXVbLTiNag8qRgDgZb3aetH1Bq7fMqHrt0wE1z4kUQUqhH27UGR0shQXK48DwGgkaet1Wm8gtLhMogoMoWgNZxqLKCo6WcLXLR4Oulpw0WIsAOSlFS9/9MJLidp6RahEIVEFBlTEhjPb1KCo6GQJW694OMhqwaOKsSTDAIquPV6uqZnWjNXUaBS/rUeiCgyoiA1ntqlBUdHJErYk8bDf3vtRxNgidjgCQFR7vGw0Xe++7Dyd++pXFr6tF2SiyvY0KIIsGs6j6NkvQqkHEEUnS9iSxsN+YtwoOieK2OEIAFFxiyOVIZYFmaiyPQ2KIO2GMz37QHd0svRvVGWtSeJhvzFuFJ0TjNQDKIOyduYGmagCRZFmw5mefVQFcwKzNz07p/0zde2brmuxMZrOr17xcJAYF33NtP/tlLVxB6B6ytiZS6IKBIKefVQBlQPZa93jUwtLm7hLYXR+DRvjkv7b6TeZzaJxR2cMAAyPRBUIBD37qAIqB7LXusetJNWkIDq/ho1xSf7tRFe+fOfUebou4VyttJJLOmMAhKaonWckqkBAyli2AbSjciB77fd4rM9kLWvDxLgk/3bak9n5huvuR5/W/pl6z2QxzeSSzhgAISly5xmJKgBgZKgcyF5Z73GS99VKZltlz65kyWKaySWdMQBCUuTOMxJVAMBIUTmQvbLe417vq5XMthaSSrrhfZrJZVk7CgAUU5E7z0hUAQBAabSS2eu3TCROFtNOLsvaUQCgeIrceRZkompm2yVtn5yczPtSAABACka9mEcrWZyendPuh472PC/JJYCyKmp8CzJRdfcDkg5MTU3tyPtaAADA6fpJPPNazCOURUSKuuImgGIoa4wJMlEFAADh6jcBzGsxjxAWEQklWQZQTmWOMbW8LwAAABRLXALYTWsxjzEb7Z6ueZ23Xb/3CgD6UeYYw4gqAKAvSUqMylqGVFXRv2e/q0jmtZhHCIuIFHnFTQDhK3OMIVEFACSWpMSozGVIVdTp79lvApjXYh55LyISQrIMoLzKHGNIVAEAiSWZ8xfCvECkp9PfM+8EsEi4VwCyVNYYwxxVAEBiSeb8hTAvEOnh7wkAyAMjqgCAxJKUGJW5DCkrIc/pLfrfM+R7CwDojEQVANCXJCVGZS1DykIR5vTm+fccJtFsv7draqZ3Tp2n67ZMBHd/AQCnC7L018y2m9meEydO5H0pAABkqsxbCwyrlWj+5Td+oPfedlDTs3N9/X77vZ1vuO5+9OmBXgcAMHpBJqrufsDdb9qwYUPelwIAQKaYA9rZsEl8697a8mMXnQEAIC11BO5+6GjQHXeU/gIAkKOizwHN0rD7A7bu7f6ZuvZN19VolG+fQQDoVxGmnEgkqgAA5I45vfHSSOJb9/b6LRN0BgCAirONHIkqAAAVF/LKuGkl8XQGAMCSYatVRoVEFQCACitKCRgAIB1FmXJCogoAQIUVpQQsBElGnkMenQaAliJUmZCoAgBQYUUpActbkpFnRqcBID0kqgAAVFhRSsDSkHS0M+64JCPPjE4DQHpIVAGg4ihVRBFKwIaVdLSz03FJRp4ZnQaA9JCoAkCFUaqIqkg62tl+3HzbcUlGnqs0Og0AWSNRBYAKo1QRVZF0tHN8/To1fen/N33pcUuSkecqjE4DwCiQqAJAhVGqWGyUbSeXdLRz7uS8TJJLqi0/buF+A8DoBJmomtl2SdsnJyfzvhQAKDVKFYsr6Sq0rb+tpMr/nZOMdl5x0Zl6xdrTO28okweA0QoyUXX3A5IOTE1N7cj7WgCg7ChVLKZeZdvtidWamklmWmyQZPXSqfOGMnkAGK0gE1UAANBdr7LtVYlVwyW5XCRZScR13lAmDwCjRaIKAEAB9Srbbk+sxpZHVBuNbJOsMs/hpEweAEaLRBUAgILqVrYdTaykbOeoDjuHM7QkN+56KJMHgNEhUQUAoKSiiVWWSdYwczhDW6gotOsBgCqq5X0BAAAgXNOzc9r90FFNz851Pa5Vajxm6ru8OC7JzVNo1wMAVcSIKgAAiNXPyOIwczhDW6gotOsBgCoiUQUAALH6LecddA7nsAsVpT2/lYWTACB/JKoAACDWKEcWB01y40Z9peEXjmLhJADIF4kqAACI1W1kMZRVeqOjvvtn6rp3ps5CSABQcCSqAACgo7iRxZBWxY2O+po08OrDAIBwkKgCAIC+DLMVTdri9ovdP1NnISQAKDgSVQAA0JfQVsWNjvqyEBIADC6UqR0kqgAAoC+hr4rLQkgAMJiQpnaQqAIAgL6RDAJA+YQ0taOWy1kBAAAAAEFpTe0YM+U+tYMRVQAAAABAUFM7SFQBAAAAAJLCmdoRZOmvmW03sz0nTpzI+1KAxKZn57T7oaOanp3L+1IAAACAQgtyRNXdD0g6MDU1tSPvawGSCGmFNAAAAKDoghxRBYomboU0AKgKKkoAAGkLckQVKJrWCmkLi83cV0gDgFGiogQAkAUSVSAFIa2QBgCjFNKeewCA8iBRBVISygppADBKVJQAALJAogoAAAZGRUm1mdnbJf22pFdJut3dv5HvFQEoCxZTAgAAQ9m6cVw3XzlJkpoTMzvPzB4ys8fN7IiZ/cEQr3WHmf3UzA7H/OxqM/uBmR01sz+WJHf/irvvkPRBSe8e/F0AwGokqgAAAMW2KOmP3P0Nkq6QdLOZvaH9ADN7rZmdEXluMua17pR0dfRJMxuTtFvSNZLeIOmGyDk+tvxzAEgFiSoAAAFj6xf04u4/dveZ5f//oqTvSzo3ctibJX3FzF4hSWa2Q9J/inmthyU9H3OayyQddfdj7j4v6QuSrrUl/1HS11rXACAcRf4OYY4qAACBynLrl+nZuUrOKy37+zazCyRdKunR9ufd/R4zu1DSF83sHknvl/TWPl76XEnPtD2uS7pc0oclXSVpg5lNuvtnY65pu6Ttk5NxA7gAslL07cNIVAEACFRWW78UvfEyqLK/bzP7Z5L2S/qIu/9D9Ofu/udm9gVJn5H0Onf/+bDndPdPSfpUj2MOSDowNTW1Y9jzAUju3pm6Ti005Srm9mGU/gJAgRS5hAf9a239MmZKdeuXuAS4Csr8vs1srZaS1Lvc/d4Ox/y6pM2Svizplj5P8ayk89oeTyw/ByBA07NzuuexZ+TLj8fGird9GCOqAFAQZR8Nwumy2vqlqnuflvV9m5lJul3S9939/+5wzKWS9kjaJumHku4ys4+7+8cSnuaQpNcvlw8/K+k9km4c+uIBZOLgseNabC6lqSbpHVsnCtdmIFEFgILIqgwUYdu6cTz1v3NV9z4t8ft+k6T/XdL3zOy7y8/9O3d/oO2Y9ZLe5e5PSpKZ/a6k90VfyMz2SnqLpLPMrC7pFne/3d0XzexDkr4uaUzSHe5+JKP3A2BI0Y6567dM5H1JfSNRBYCCKOtoEPKRRQLcMj07p/0zdZmk67ak24s/7GJIWb7vvLj7t7Q0aNLtmEcijxckfS7muBu6vMYDkh7o9HMA4ShDxxyJKgAURBm+dFB+07NzumHPtzXfWCo5u2e6rr070ilTp/wdAJIrescciSoAFEjRv3RQfgePHddCw1cep1mmTvk7AFQHq/4CAIDUXHHRmVo79nIVappl6lmtggwACA8jqgAAIDVbN45r701vzGSOKuXvAFAdJKoAACBVWZaoU/4OANVA6S8AAAAAYGjTs3Pa/dBRTc/ODf1ajKgCAAAAAIaS9srsjKgCAIDE0uwtBwCUR9zK7MNgRBUAACTCPqYAgE5aK7MvLDZTWZmdRBUAACTCPqYAgE7SXpmdRBUAACSSdm85AKBc0lyZnUQVADJgZhdJ+hNJG9z9HXlfD5AG9jEFAIzKyBZTMrOLzOx2M9s3qnMCqDYz+wUz+46Z/a2ZHTGz/2uI17rDzH5qZodjfna1mf3AzI6a2R9Lkrsfc/ffH+b6gRBt3Tium6+cJEkFAGQqUaLaqYEW1zjrhEYbgByckvSv3P1fSvpVSVeb2RXtB5jZa83sjMhzkzGvdaekq6NPmtmYpN2SrpH0Bkk3mNkbUrl6AACAiko6onqnIg20To0zM/vnZnZ/5L/XpnrVQEGwjUO+fMnPlx+uXf7PI4e9WdJXzOwVkmRmOyT9p5jXeljS8zGnuUzS0eXOuHlJX5B0bUpvAQAAoJISzVF194fN7ILI0yuNM0kysy9Iutbd/0zStlSvEiggtnEIw3Kn2rSkSUm73f3R9p+7+z1mdqGkL5rZPZLeL+mtfZziXEnPtD2uS7rczM6U9KeSLjWzjy7Hxui1bZe0fXIybgAXAACguoaZoxrXODu308FmdqaZfVbLjbYux91kZo+Z2WM/+9nPhrg8IF9pb3qMwbh7w91/VdKEpMvMbHPMMX8u6Z8kfUbS77SNwg5z3uPu/kF3f11ckrp8zAF3v2nDhg3Dng4AAKBURraYUpJG2/Jxe9x9yt2nXvOa14zq8oDUtbZxGDOxjUMA3P0FSQ8pfp7pr0vaLOnLkm7p86WflXRe2+OJ5ecAAAAwoGG2p6FxBnTBNg75M7PXSFpw9xfM7JVaKun9j5FjLpW0R0tTFn4o6S4z+7i7fyzhaQ5Jev1y+fCzkt4j6ca03gMAAEAVDZOo0jgDekhz0+OsTM/OlTmZPkfSf12ep1qT9CV3vz9yzHpJ73L3JyXJzH5X0vuiL2RmeyW9RdJZZlaXdIu73+7ui2b2IUlflzQm6Q53P5LVGwKSKPnnGgBKi/j9skSJaqcGGo0zoNjKvuCTu/8vSZf2OOaRyOMFSZ+LOe6GLq/xgKQHBrxMIFVl/1wDQFkRv1dLNEfV3W9w93Pcfa27T7j77cvPP+DuFy/PO/3TtC7KzLab2Z4TJ06k9ZIAYrDgE1A+fK4BoJiI36uNbDGlfrASJjAaLPgElA+fawAoJuL3asPMUQVQcCz4BJQPn2sAKCbi92okqkDFFWHBJwD94XMNAMVE/H5ZkKW/AAAAAIDqCjJRZTElAAAAAKiuIBNVFlMCAAAAgOoKMlEFAAAAAFQXiSoAAAAAICgkqgAAAACAoJCoAgAAAACCEmSiyqq/AAAAAFBdQSaqrPoLAAAAANUVZKIKAAAAAKguElUAAAAAQFBIVAEAAAAAQSFRBQAAAAAEhUQVAAAAABCUIBNVtqcBAAAAgOoKMlFlexoAAAAAqC5z97yvoSMz+5mkFyS1D61uaHu8IfKzsyQ9l/JlRM+RxvGdjunn+ehzne5LCPck6e8Me1963aci3pduPx/0vnR7HMJ96XX8Rnd/zXCXFJYEsS76uAh/p17HJIlrcc/xHRD/HPcl/rkifweUNdbNLj9M8vfL4u/UzSB/w2F+P4s42u/z3PP+jsmirVr1e9451rl70P9J2tPpcczPHsv6/Gkc3+mYfp5Pel9CuCejui+97lMR70u3nw96X3r828n9vgxyH8vwXxn/Tv3++x0m1pXhvmTxHcB9KfZ3QJn/S/j3S/3vlOXfI4Q42u/z3PPR3vMOf4PK3/NO/wVZ+htxoMvj6M9Gcf40ju90TD/P53lfBnn9UdyXXvepiPel288HvS9J7luasvgMlVEZ/079/vsNLdYNco4qfAcMco4q3JesvhvLKmkMGKVhzx9CHO33ee55f8dk0VYdtRDveaygS3/7ZWaPuftU3tcREu5JPO5LPO5LMfB3isd9icd9OR33pBj4O40e93z0uOedFWFEtR978r6AAHFP4nFf4nFfioG/UzzuSzzuy+m4J8XA32n0uOejxz3voFQjqgAAAACA4ivbiCoAAAAAoOBIVAEAAAAAQSFRBQAAAAAEpbSJqpn9opn9VzP7nJm9N+/rCYWZXWRmt5vZvryvJSRm9vblfytfNLPfyvt6QmFmv2JmnzWzfWb2f+R9PTgdsS4esS4esS4esS58xLrRI46OHjF6tUIlqmZ2h5n91MwOR56/2sx+YGZHzeyPl5++TtI+d98h6XdGfrEj1M99cfdj7v77+VzpaPV5X76y/G/lg5Lencf1jkqf9+X77v5BSe+S9KY8rreKiHXxiHXxiHXxiHXhI9aNHnF09IjRgytUoirpTklXtz9hZmOSdku6RtIbJN1gZm+QNCHpmeXDGiO8xjzcqeT3pUruVP/35WPLPy+zO9XHfTGz35H0/0p6YLSXWWl3ilgX504R6+LcKWJdnDtFrAvdnSLWjdqdIo6O2p0iRg+kUImquz8s6fnI05dJOrrc6zMv6QuSrpVU11JQkwr2PvvV532pjH7uiy35j5K+5u4zo77WUer334u7f9Xdr5FEqdWIEOviEeviEeviEevCR6wbPeLo6BGjB1eGD/q5ermHTVoKZOdKulfS9Wb2GUkH8riwnMXeFzM708w+K+lSM/toPpeWq07/Xj4s6SpJ7zCzD+ZxYTnr9O/lLWb2KTP7z2KUIW/EunjEunjEunjEuvAR60aPODp6xOgE1uR9AVlx93+U9Ht5X0do3P24lure0cbdPyXpU3lfR2jc/ZuSvpnzZaALYl08Yl08Yl08Yl34iHWjRxwdPWL0amUYUX1W0nltjyeWn6s67ks87ks87kv4+BvF477E477E476Ej7/R6HHPR497nkAZEtVDkl5vZhea2TpJ75H01ZyvKQTcl3jcl3jcl/DxN4rHfYnHfYnHfQkff6PR456PHvc8gUIlqma2V9K3JV1iZnUz+313X5T0IUlfl/R9SV9y9yN5XueocV/icV/icV/Cx98oHvclHvclHvclfPyNRo97Pnrc88GZu+d9DQAAAAAArCjUiCoAAAAAoPxIVAEAAAAAQSFRBQAAAAAEhUQVAAAAABAUElUAAAAAQFBIVAEAAAAAQSFRBQAAAAAEhUQVAAAAABAUElUAAAAAQFD+fxFe9EAKbS25AAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 1152x576 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(1, 3, figsize=[16,8])\n",
-    "ax[0].loglog(k, k_nn, '.')\n",
-    "ax[1].loglog(k_in, k_nn_in, '.')\n",
-    "ax[2].loglog(k_out, k_nn_out, '.')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fcf71b07",
-   "metadata": {},
-   "source": [
-    "# Plotting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "cb98b6fe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dg_plot = get_graph(req, cut=50, direction=\"in\").to_undirected()\n",
-    "posDG3D = nx.spring_layout(dg_plot, dim=3, k=1/np.sqrt(dg_plot.number_of_nodes())*10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "08c281a0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "partition = {node: 1 for node in dg_plot.nodes()}\n",
-    "cmap = cm.get_cmap('Reds', max(partition.values()) + 1)\n",
-    "export_data(dg_plot, posDG3D, partition, cmap, step=None)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "06058727",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "G, d_hoverinfo, d_nodecolors, d_nodesize, posG3D = read_data(f'../nodes_edges/nodes.csv',\n",
-    "                                                             f'../nodes_edges/edges.csv')\n",
-    "node_trace = get_trace_nodes_3D_legend(\n",
-    "                                  posG3D, \n",
-    "                                  d_hoverinfo,\n",
-    "                                  d_nodecolors, \n",
-    "                                  d_nodesize\n",
-    ")\n",
-    "edge_trace = get_trace_edges_3D(G, posG3D, color = '#C7C7C7', opac = 0.2, linewidth=0.2)\n",
-    "\n",
-    "data = [*node_trace, edge_trace]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "338e0505",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Opening in existing browser session.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "'./plots/test.html'"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "plot_3D(data,\n",
-    "        path='./plots/', # set a folder of choice\n",
-    "        fname = 'static', # set a name for your plot file\n",
-    "        scheme='dark', # or 'light' = plot background choice \n",
-    "       )"
-   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -417,7 +209,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.5"
   }
  },
  "nbformat": 4,
diff --git a/src/__pycache__/export_import.cpython-310.pyc b/src/__pycache__/export_import.cpython-310.pyc
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diff --git a/src/__pycache__/export_vr.cpython-310.pyc b/src/__pycache__/export_vr.cpython-310.pyc
Binary files differ.
diff --git a/src/ideas.ipynb b/src/ideas.ipynb
@@ -17,10 +17,7 @@
    "id": "f0f01af0",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "url = 'https://pypi.org/pypi/{}/json'\n",
-    "packages = pypi_xmlrpc.list_packages()"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -28,9 +25,7 @@
    "id": "777549f7",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "package_info = requests.get(url.format('requests')).json()"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -66,10 +61,7 @@
      ]
     }
    ],
-   "source": [
-    "print(\"requests:\")\n",
-    "print(json.dumps(package_info['releases']['0.10.0'][0], indent=4, sort_keys=True))\n"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -141,7 +133,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.5"
   }
  },
  "nbformat": 4,
diff --git a/src/network_dynamic.ipynb b/src/network_dynamic.ipynb
@@ -65,7 +65,6 @@
    "outputs": [],
    "source": [
     "class TDiGraph(nx.DiGraph):\n",
-    "#    def __init__(self, all_edges:pd.DataFrame):\n",
     "    def __init__(self, all_edges):\n",
     "\n",
     "        self.t = 0\n",
@@ -190,7 +189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 15,
    "id": "2ce7ea35",
    "metadata": {},
    "outputs": [
@@ -198,17 +197,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_173904/3718333394.py:31: UserWarning:\n",
-      "\n",
-      "FixedFormatter should only be used together with FixedLocator\n",
-      "\n"
+      "/home/miksa/.local/lib/python3.10/site-packages/scipy/optimize/_minpack_py.py:833: OptimizeWarning: Covariance of the parameters could not be estimated\n",
+      "  warnings.warn('Covariance of the parameters could not be estimated',\n",
+      "/tmp/ipykernel_342492/2844037934.py:32: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "  ax.set_xticklabels(years[-7:], rotation='vertical', fontsize=10)\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
+       "<Figure size 864x648 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -223,13 +222,13 @@
     "\n",
     "time_steps = len(TDG.time_steps)\n",
     "years = sorted(list(set([date[:4] for date in TDG.time_steps])), key=lambda x: datetime.strptime(x, '%Y'))\n",
-    "fig, ax = plt.subplots(1, 1, figsize=[10, 8])\n",
+    "fig, ax = plt.subplots(1, 1, figsize=[12, 9])\n",
     "cmap = cm.get_cmap('tab10').colors\n",
     "j=0\n",
     "β_i = {}\n",
     "variance = {}\n",
     "\n",
-    "for node, k_i in [k_i_t[i] for i in range(len(k_i_t)) if max(k_i_t[i][1]) > 350 and len(k_i_t[i][1]) <= 12*5]:\n",
+    "for node, k_i in [k_i_t[i] for i in range(len(k_i_t)) if max(k_i_t[i][1]) > 50 and len(k_i_t[i][1]) < 12*5]:\n",
     "    try:\n",
     "        time_creation = time_steps - len(k_i)\n",
     "        time_seq = np.arange(time_creation, time_steps)\n",
@@ -240,61 +239,34 @@
     "        else:\n",
     "            variance[node] = np.sqrt(pcov[0][0])\n",
     "            β_i[node] =  popt[0]\n",
-    "            if j < 400:\n",
+    "            if j < 300:\n",
     "                ax.plot(time_seq, cum_log_k_i, '.', label=node, color=cm.get_cmap('plasma', 36).colors[j])\n",
+    "#                ax.plot(time_seq, cum_log_k_i, '.', label=node)\n",
     "                j+=1\n",
     "    except:\n",
     "        continue\n",
     "    \n",
     "\n",
-    "#ax.set_xticks([(time_steps+8*12)/len(years[-8:])*i for i in range(len(years[-8:]))])\n",
-    "ax.set_xticklabels(years[-8:], rotation='vertical', fontsize=10)\n",
+    "#ax.set_xticks([(time_steps)/len(years)*i for i in range(len(years[:]))])\n",
+    "ax.set_xticklabels(years[-7:], rotation='vertical', fontsize=10)\n",
     "ax.tick_params(axis='both', which='major', labelsize=15)\n",
     "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize=10)\n",
     "ax.set_xlabel(r'$t$', fontsize=15)\n",
     "ax.set_ylabel(r'$ln(k^{in}_i(t))$', fontsize=15)\n",
-    "fig.savefig('../pres/pics/edge_growth.png', dpi=300)"
+    "fig.savefig('../tex_stuff/pres/pics/deg_2016_growth.png', dpi=300)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 99,
-   "id": "d5e94ec5",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'LinearSegmentedColormap' object has no attribute 'color'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [99]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mcm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_cmap\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrainbow\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m36\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolor\u001b[49m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'LinearSegmentedColormap' object has no attribute 'color'"
-     ]
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b87554e2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "91ac9465",
+   "cell_type": "raw",
+   "id": "23f1757c",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "# Distribution of Node growth"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 211,
+   "execution_count": 8,
    "id": "beb25be6",
    "metadata": {},
    "outputs": [
@@ -302,14 +274,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_79352/1188189524.py:4: RuntimeWarning: divide by zero encountered in log\n",
-      "  ax.plot(np.log(ϱ_η[1][1:]), np.log(ϱ_η[0]/sum(ϱ_η[0])), 'o')\n",
-      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
+      "/tmp/ipykernel_342492/4149663712.py:4: RuntimeWarning: divide by zero encountered in log\n",
+      "  ax.plot(np.log(ϱ_η[1][1:]), np.log(ϱ_η[0]/sum(ϱ_η[0])), 'o')\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x576 with 1 Axes>"
       ]
@@ -328,8 +299,8 @@
     "ax.tick_params(axis='both', which='major', labelsize=15)\n",
     "ax.set_ylabel(r'$\\ln(\\rho(\\eta))$', fontsize=20)\n",
     "ax.set_xlabel(r'$\\eta$', fontsize=20)\n",
-    "ax.legend(loc='best', fontsize=20)\n",
-    "fig.savefig('../pres/pics/fitness.png', dpi=300)"
+    "#ax.legend(loc='best', fontsize=20)\n",
+    "fig.savefig('../tex_stuff/pres/pics/fitness.png', dpi=300)"
    ]
   },
   {
@@ -342,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "id": "cbb86272",
    "metadata": {},
    "outputs": [],
@@ -358,40 +329,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 19,
    "id": "943762b6",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[Text(0.0, 0, '2005'),\n",
-       " Text(11.38888888888889, 0, '2006'),\n",
-       " Text(22.77777777777778, 0, '2007'),\n",
-       " Text(34.16666666666667, 0, '2008'),\n",
-       " Text(45.55555555555556, 0, '2009'),\n",
-       " Text(56.94444444444444, 0, '2010'),\n",
-       " Text(68.33333333333334, 0, '2011'),\n",
-       " Text(79.72222222222223, 0, '2012'),\n",
-       " Text(91.11111111111111, 0, '2013'),\n",
-       " Text(102.5, 0, '2014'),\n",
-       " Text(113.88888888888889, 0, '2015'),\n",
-       " Text(125.27777777777779, 0, '2016'),\n",
-       " Text(136.66666666666669, 0, '2017'),\n",
-       " Text(148.05555555555557, 0, '2018'),\n",
-       " Text(159.44444444444446, 0, '2019'),\n",
-       " Text(170.83333333333334, 0, '2020'),\n",
-       " Text(182.22222222222223, 0, '2021'),\n",
-       " Text(193.61111111111111, 0, '2022')]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 576x432 with 1 Axes>"
       ]
@@ -405,9 +349,12 @@
    "source": [
     "fig, ax = plt.subplots(1, 1, figsize=[8, 6])\n",
     "ax.plot(n_nodes, '.')\n",
-    "ax.tick_params(axis='both', which='major', labelsize=15)\n",
+    "ax.tick_params(axis='both', which='major', labelsize=11)\n",
     "ax.set_xticks([len(n_nodes)/len(years)*i for i in range(len(years))])\n",
-    "ax.set_xticklabels(years, rotation='vertical')"
+    "ax.set_xticklabels(years, rotation='vertical')\n",
+    "ax.set_xlabel(r'$t$', fontsize=15)\n",
+    "ax.set_ylabel(r'Nodes', fontsize=15)\n",
+    "fig.savefig('../tex_stuff/pres/pics/deg_growth.png', dpi=300)"
    ]
   },
   {
@@ -492,34 +439,7 @@
    "id": "6dc9d0c3",
    "metadata": {},
    "source": [
-    "# Configuration for VR"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fce88436",
-   "metadata": {},
-   "source": [
-    "Since the VR-lab cannot take time varying networks where nodes get deleted we have to kind of \n",
-    "shuffle through them without removing them but repositioning them somwhere where they cannnot be \n",
-    "seen. This is done by saving the layout of the nodes at the last time step and then iterating \n",
-    "backwards, after each step moving nodes that are not in timestep (t-1) somewhere else and removing \n",
-    "all their edges. Additionally for the story we have to choose one node and follow its history \n",
-    "paiting it a color, e.g. red. The procedere will go as follows\n",
-    "\n",
-    "    1. save a nice layout at time $t=T$ (last step)\n",
-    "    2. choose a node/package to follow or multiple nodes\n",
-    "    3. check creation date of node, call it $T_0$\n",
-    "    4. iterate from (t=T to t=T_0, t--);\n",
-    "           1. move nodes not present in t-1 to a coordinate system edge e.g $(-1,-1,-1)$\n",
-    "           2. remove edges of all moved nodes.\n",
-    "           3. save layout.\n",
-    "\n",
-    "Choosing 'seaborn' as package to follow is in my perspective usefull. \n",
-    "\n",
-    "To remain biased, first calculate the position before removing nodes from the network. Since if we \n",
-    "remove nodes from the network first, we would get a distored image on how ''high'' a node should be \n",
-    "paced on the network."
+    "# Configuration for VR (exporting data)"
    ]
   },
   {
@@ -550,52 +470,13 @@
     "                +int(date_current.split('-')[1]) - int(date_creation.split('-')[1])  - 1\n",
     "\n",
     "export_data_vr(TDG, posDG3D, chosen_nodes, path='../nodes_edges/vr/', step=TDG.time_steps[TDG.t-1])\n",
-    "#tdg_draw(TDG, posDG3D, node_color, node_alpha, chosen_nodes ,fname='sqrt')\n",
-    "\n",
-    "\n",
     "for i in range(T_0):\n",
-    "#    nodes_to_move = list(set(TDG.all_nodes[TDG.time_nodes == TDG.time_steps[TDG.t-1]]['package'].to_list()).intersection(TDG.nodes))\n",
     "    C_TDG.backward()\n",
     "    TDG.backward()\n",
-    "#    for node in nodes_to_move:\n",
-    "#        posDG3D[node] = [0, 0, -1]\n",
     "    if i%9 == 0:\n",
     "        posDG3D = ray_layout(C_TDG)\n",
-    "        export_data_vr(TDG, posDG3D, chosen_nodes, path='../nodes_edges/vr/', step=TDG.time_steps[TDG.t-1])\n",
-    "#        tdg_draw(TDG, posDG3D, node_color, node_alpha, chosen_nodes ,fname='sqrt')"
+    "        export_data_vr(TDG, posDG3D, chosen_nodes, path='../nodes_edges/vr/', step=TDG.time_steps[TDG.t-1])"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3edaac96",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d45ccd8d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e2d92632",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fc9b3f69",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/src/network_static.ipynb b/src/network_static.ipynb
@@ -72,14 +72,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "548f50a1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
    "execution_count": 57,
    "id": "cbbcddda",
    "metadata": {},
@@ -199,1276 +191,6 @@
     "fig.tight_layout()\n",
     "fig.savefig('../pres/pics/dist_d.png', dpi=300)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "id": "8ec8309c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "535"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bb471f0a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "id": "302078e8",
-   "metadata": {},
-   "source": [
-    "# Top nodes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "313a34a7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#top = 10\n",
-    "#top_node, top_degree = zip(*(list_node_deg[:top]))\n",
-    "#cc_node, cc_cent = zip(*sorted(list(nx.closeness_centrality(DG).items()),\n",
-    "#                              key=lambda x: x[1], reverse=True)[:top])\n",
-    "#bc_node, bc_cent = zip(*sorted(list(nx.betweenness_centrality(partial_DG).items()),\n",
-    "#                               key=lambda x: x[1], reverse=True)[:top])\n",
-    "#fig, ax = plt.subplots(1, 2, figsize=[14, 8])\n",
-    "#ax[0].barh(top_node, top_degree, height=0.9)\n",
-    "#ax[0].invert_yaxis()\n",
-    "#ax[0].set_title(\"Degree Centrality\", fontsize=18, fontweight='bold')\n",
-    "#\n",
-    "#ax[1].barh(cc_node, cc_cent, height=0.9)\n",
-    "#ax[1].invert_yaxis()\n",
-    "#ax[1].set_title(\"Closeness Centrality\", fontsize=18, fontweight='bold')\n",
-    "\n",
-    "#ax[2].barh(bc_node, bc_cent, height=0.9)\n",
-    "#ax[2].invert_yaxis()\n",
-    "#ax[2].set_title(\"Betweenness Centrality\", fontsize=18, fontweight='bold')\n",
-    "\n",
-    "#fig.tight_layout()\n",
-    "#fig.savefig('./pres/pics/sneak_peak.png', dpi=300)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "da34aacc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#pat_len = dict(nx.shortest_path_length(DG))\n",
-    "#avg_pat_lens = []\n",
-    "#for node in pat_len:\n",
-    "#    avg_pat_lens.append(np.mean(list(pat_len[node].values())))\n",
-    "#    \n",
-    "#avg_pat_lens = [x for x in avg_pat_lens if x!=0.0]\n",
-    "#avg_pat_len = np.mean(avg_pat_lens)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 280,
-   "id": "fb7886dd",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "r = -0.12470190203061185\t Disassortative\n"
-     ]
-    }
-   ],
-   "source": [
-    "#print(DG)\n",
-    "#print(\"\\n\")\n",
-    "#print(f\"<k_in^2> = {1/DG.number_of_nodes() *sum(np.array(list(dict(DG.in_degree()).values())) ** 2)}\")\n",
-    "#print(f\"<k_out^2> = {1/DG.number_of_nodes() * sum(np.array(list(dict(DG.out_degree()).values())) ** 2)}\")\n",
-    "#print(f\"<k> = {round(sum(p_k*k),2)}\")\n",
-    "#print(f\"<k^2> = {round(sum(p_k*k**2),2)}\")\n",
-    "#print(f\"<d_min> = {avg_pat_len}\\t Ultra Small World\")\n",
-    "#print(f\"d_max = {max(avg_pat_lens)}\")\n",
-    "print(f\"r = {nx.algorithms.assortativity.degree_assortativity_coefficient(DG)}\\t Disassortative\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "1a893aec",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cut_DG = get_graph(req, cut=20)\n",
-    "k, k_nn = zip(*sorted(list(nx.average_degree_connectivity(cut_DG).items()), key=lambda x: x[0]))\n",
-    "k_in, k_nn_in = zip(*sorted(list(nx.average_degree_connectivity(cut_DG, source='in').items()), key=lambda x:x[0]))\n",
-    "k_out, k_nn_out = zip(*sorted(list(nx.average_degree_connectivity(cut_DG, source='out').items()), key=lambda x :x[0]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "0d713020",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f6ef924dea0>]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1152x576 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(1, 3, figsize=[16,8])\n",
-    "ax[0].loglog(k, k_nn, '.')\n",
-    "ax[1].loglog(k_in, k_nn_in, '.')\n",
-    "ax[2].loglog(k_out, k_nn_out, '.')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fcf71b07",
-   "metadata": {},
-   "source": [
-    "# Plotting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "cb98b6fe",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dg_plot = get_graph(req, cut=50, direction=\"in\").to_undirected()\n",
-    "#posDG3D = nx.spring_layout(dg_plot, dim=3, k=1/np.sqrt(dg_plot.number_of_nodes())*10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "08c281a0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "partition = {node: 1 for node in dg_plot.nodes()}\n",
-    "cmap = cm.get_cmap('Reds', max(partition.values()) + 1)\n",
-    "export_data(dg_plot, posDG3D, partition, cmap, step=None)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "06058727",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "G, d_hoverinfo, d_nodecolors, d_nodesize, posG3D = read_data(f'../nodes_edges/nodes.csv',\n",
-    "                                                             f'../nodes_edges/edges.csv')\n",
-    "node_trace = get_trace_nodes_3D_legend(\n",
-    "                                  posG3D, \n",
-    "                                  d_hoverinfo,\n",
-    "                                  d_nodecolors, \n",
-    "                                  d_nodesize\n",
-    ")\n",
-    "edge_trace = get_trace_edges_3D(G, posG3D, color = '#C7C7C7', opac = 0.2, linewidth=0.2)\n",
-    "\n",
-    "data = [*node_trace, edge_trace]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "338e0505",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'data' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [7]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m plot_3D(\u001b[43mdata\u001b[49m,\n\u001b[1;32m      2\u001b[0m         path\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m./plots/\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;66;03m# set a folder of choice\u001b[39;00m\n\u001b[1;32m      3\u001b[0m         fname \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstatic\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;66;03m# set a name for your plot file\u001b[39;00m\n\u001b[1;32m      4\u001b[0m         scheme\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdark\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;66;03m# or 'light' = plot background choice \u001b[39;00m\n\u001b[1;32m      5\u001b[0m        )\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'data' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "plot_3D(data,\n",
-    "        path='./plots/static', # set a folder of choice\n",
-    "        fname = 'static', # set a name for your plot file\n",
-    "        scheme='dark', # or 'light' = plot background choice \n",
-    "       )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "7c724fa8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
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-       " ('apache-airflow', 145),\n",
-       " ('pytest-cov', 130),\n",
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-       " ('numpy', 118),\n",
-       " ('requests', 117),\n",
-       " ('six', 99),\n",
-       " ('setuptools', 97),\n",
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-       " ('coverage', 78),\n",
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-       " ('sphinx-rtd-theme', 67),\n",
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-       " ('datasets', 65),\n",
-       " ('typing-extensions', 63),\n",
-       " ('packaging', 63),\n",
-       " ('pandas', 58),\n",
-       " ('napari', 58),\n",
-       " ('black', 55),\n",
-       " ('tox', 55),\n",
-       " ('mypy', 54),\n",
-       " ('matplotlib', 52),\n",
-       " ('scipy', 52),\n",
-       " ('mock', 52),\n",
-       " ('ipython', 48),\n",
-       " ('dagster', 48),\n",
-       " ('transformers', 46),\n",
-       " ('pre-commit', 45),\n",
-       " ('tensorflow-datasets', 41),\n",
-       " ('optuna', 41),\n",
-       " ('scikit-learn', 40),\n",
-       " ('scikit-image', 40),\n",
-       " ('web3', 40),\n",
-       " ('pytz', 39),\n",
-       " ('PyYAML', 39),\n",
-       " ('click', 38),\n",
-       " ('wheel', 38),\n",
-       " ('python-dateutil', 38),\n",
-       " ('twine', 37),\n",
-       " ('wandb', 37),\n",
-       " ('papermill', 37),\n",
-       " ('cryptography', 36),\n",
-       " ('docutils', 36),\n",
-       " ('ray', 36),\n",
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-       " ('dash', 35),\n",
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-       " ('isort', 33),\n",
-       " ('aiohttp', 33),\n",
-       " ('pytest-xdist', 33),\n",
-       " ('panel', 33),\n",
-       " ('pyyaml', 32),\n",
-       " ('tqdm', 32),\n",
-       " ('notebook', 32),\n",
-       " ('nbconvert', 32),\n",
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-       " ('mlflow', 29),\n",
-       " ('astropy', 29),\n",
-       " ('fastai', 29),\n",
-       " ('certbot', 29),\n",
-       " ('torchmetrics', 29),\n",
-       " ('colorama', 28),\n",
-       " ('jira', 28),\n",
-       " ('keystoneauth1', 28),\n",
-       " ('Twisted', 27),\n",
-       " ('fastapi', 27),\n",
-       " ('nbclient', 27),\n",
-       " ('moto', 26),\n",
-       " ('tensorflow', 26),\n",
-       " ('psutil', 26),\n",
-       " ('networkx', 26),\n",
-       " ('jinja2', 26),\n",
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-       " ('celery', 25),\n",
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-       " ('lxml', 24),\n",
-       " ('protobuf', 24),\n",
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-       " ('streamlit', 24),\n",
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-       " ('jaraco.packaging', 24),\n",
-       " ('rst.linker', 24),\n",
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-       " ('pytest-asyncio', 23),\n",
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-       " ('datasette', 20),\n",
-       " ('pbr', 20),\n",
-       " ('google-auth', 20),\n",
-       " ('APScheduler', 20),\n",
-       " ('marshmallow', 19),\n",
-       " ('paramiko', 19),\n",
-       " ('tornado', 19),\n",
-       " ('bandit', 19),\n",
-       " ('jsii', 19),\n",
-       " ('ipykernel', 19),\n",
-       " ('towncrier', 19),\n",
-       " ('codecov', 19),\n",
-       " ('tensorflow-gpu', 19),\n",
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-       " ('jsonpickle', 19),\n",
-       " ('keyring', 19),\n",
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-       " ('anyio', 19),\n",
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-       " ('beautifulsoup4', 18),\n",
-       " ('pygments', 18),\n",
-       " ('Flask', 18),\n",
-       " ('dask', 18),\n",
-       " ('graphviz', 18),\n",
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-       " ('tensorboard', 15),\n",
-       " ('huggingface-hub', 15),\n",
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-       " ('flax', 15),\n",
-       " ('cssutils', 15),\n",
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-       " ('configparser', 13),\n",
-       " ('plotly', 13),\n",
-       " ('docker-compose', 13),\n",
-       " ('aws-cdk.aws-iam', 13),\n",
-       " ('aws-cdk.aws-lambda', 13),\n",
-       " ('aws-cdk.core', 13),\n",
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-       " ('qtconsole', 13),\n",
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-       " ('argcomplete', 13),\n",
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-       " ('html5lib', 13),\n",
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-       " ('WebTest', 12),\n",
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-       " ('testtools', 12),\n",
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-       " ('typing', 11),\n",
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-       " ('google-cloud-storage', 11),\n",
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-       " ('spacy', 11),\n",
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-       " ('aio-pika', 11),\n",
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-       " ('prospector', 10),\n",
-       " ('pydantic', 10),\n",
-       " ('lz4', 10),\n",
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-       " ('absl-py', 10),\n",
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-       " ('kazoo', 10),\n",
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-       " ('trio', 10),\n",
-       " ('ase', 10),\n",
-       " ('stanza', 10),\n",
-       " ('pandas-gbq', 10),\n",
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-       " ('aws-cdk.aws-kms', 10),\n",
-       " ('Products.CMFCore', 10),\n",
-       " ('pytest-rerunfailures', 10),\n",
-       " ('nbdev', 10),\n",
-       " ('aws-cdk.aws-sns', 10),\n",
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-       " ('Deprecated', 10),\n",
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-       " ('freezegun', 9),\n",
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-       " ('asgiref', 9),\n",
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-       " ('proto-plus', 8),\n",
-       " ('trytond-company', 8),\n",
-       " ('ninja', 8),\n",
-       " ('google-api-core[grpc]', 8),\n",
-       " ('pytest-check-links', 8),\n",
-       " ('oslo.policy', 8),\n",
-       " ('humanfriendly', 7),\n",
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-       " ('websockets', 7),\n",
-       " ('MarkupSafe', 7),\n",
-       " ('pdfminer.six', 7),\n",
-       " ('yarl', 7),\n",
-       " ('jaxlib', 7),\n",
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-       " ('dacite', 7),\n",
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-       " ('cffi', 7),\n",
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-       " ('pluggy', 7),\n",
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-       " ('Products.GenericSetup', 7),\n",
-       " ('quart', 7),\n",
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-       " ('adal', 7),\n",
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-       " ('pygithub', 2),\n",
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-       " ('lockfile', 2),\n",
-       " ('pymdown-extensions', 2),\n",
-       " ('jsonpatch', 2),\n",
-       " ('mock;', 2),\n",
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-       " ('ftfy', 2),\n",
-       " ('fasteners', 2),\n",
-       " ('opencv-python-headless', 2),\n",
-       " ('msgpack-numpy', 2),\n",
-       " ('sphinx-markdown-tables', 2),\n",
-       " ('jsonpointer', 2),\n",
-       " ('pydantic[dotenv]', 2),\n",
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-       " ('polib', 2),\n",
-       " ('aiopg', 2),\n",
-       " ('jwcrypto', 2),\n",
-       " ('persistent', 2),\n",
-       " ('zope.testing;', 2),\n",
-       " ('requests;', 2),\n",
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-       " ('PyYaml', 1),\n",
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-       " ('coverage-badge', 1),\n",
-       " ('asynctest', 1),\n",
-       " ('bitarray', 1),\n",
-       " ('dataclasses;', 1),\n",
-       " ('motor', 1),\n",
-       " ('pydub', 1),\n",
-       " ('pycryptodome', 1),\n",
-       " ('fake-useragent', 1),\n",
-       " ('aiohttp[speedups]', 1),\n",
-       " ('sh', 1),\n",
-       " ('bleak', 1),\n",
-       " ('cachecontrol', 1),\n",
-       " ('leidenalg', 1),\n",
-       " ('pyqt5', 1),\n",
-       " ('Flask-Cors', 1),\n",
-       " ('schema', 1),\n",
-       " ('soupsieve', 1),\n",
-       " ('emoji', 1),\n",
-       " ('azure-mgmt-nspkg', 1),\n",
-       " ('parsimonious', 1),\n",
-       " ('py-cpuinfo', 1),\n",
-       " ('logzero', 1),\n",
-       " ('sklearn', 1),\n",
-       " ('pytest;', 1),\n",
-       " ('moviepy', 1),\n",
-       " ('blessings', 1),\n",
-       " ('faker', 1),\n",
-       " ('cartopy', 1),\n",
-       " ('Pykka', 1),\n",
-       " ('autodocsumm', 1),\n",
-       " ('pymysql', 1),\n",
-       " ('xlsxwriter', 1),\n",
-       " ('peewee', 1),\n",
-       " ('ply', 1),\n",
-       " ('dj-database-url', 1),\n",
-       " ('django-mptt', 1),\n",
-       " ('python-Levenshtein', 1),\n",
-       " ('distlib', 1),\n",
-       " ('numexpr', 1),\n",
-       " ('scp', 1),\n",
-       " ('html2text', 1),\n",
-       " ('gpustat', 1),\n",
-       " ('flake8-commas', 1),\n",
-       " ('seqeval', 1),\n",
-       " ('flask-sqlalchemy', 1),\n",
-       " ('imagesize', 1),\n",
-       " ('opencv-contrib-python', 1),\n",
-       " ('fire', 1),\n",
-       " ('feedparser', 1),\n",
-       " ('backcall', 1),\n",
-       " ('json5', 1),\n",
-       " ('llvmlite', 1),\n",
-       " ('pandocfilters', 1),\n",
-       " ...]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sorted(list(dg_plot.degree), key=lambda x: x[1], reverse=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e3231d7e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bcabf263",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -1487,7 +209,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.5"
   }
  },
  "nbformat": 4,
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+\documentclass[fleqn]{beamer}
+\beamertemplatenavigationsymbolsempty
+
+\usepackage[T1]{fontenc}
+\usepackage[utf8]{inputenc}
+
+\usepackage{amsmath,amssymb}
+\usepackage{graphicx}
+\usepackage{mathptmx}
+\usepackage{subcaption}
+\usepackage{amsthm}
+\usepackage{tikz}
+%\usepackage[colorlinks=true,naturalnames=true,plainpages=false,pdfpagelabels=true]{hyperref}
+\usetikzlibrary{patterns,decorations.pathmorphing,positioning, arrows, chains}
+
+\usepackage[backend=biber, sorting=none]{biblatex}
+\addbibresource{uni.bib}
+
+\setbeamertemplate{endpage}{%
+    \begin{frame}
+        \centering
+        \Large \emph{Thank You!}
+    \end{frame}
+}
+
+\AtEndDocument{\usebeamertemplate{endpage}}
+
+% vertical separator macro
+\newcommand{\vsep}{
+  \column{0.0\textwidth}
+    \begin{tikzpicture}
+      \draw[very thick,black!10] (0,0) -- (0,7.3);
+    \end{tikzpicture}
+}
+\setlength{\mathindent}{0pt}
+
+% Beamer theme
+\usetheme{UniVienna}
+\usefonttheme[onlysmall]{structurebold}
+\mode<presentation>
+\setbeamercovered{transparent=10}
+
+\title
+{Seminar Complex Network Analysis}
+\subtitle{Project Progress}
+\author[Popović Milutin]
+{Popović Milutin}
+\date{13. May 2021}
+
+\begin{document}
+    \begin{frame}
+        \titlepage
+    \end{frame}
+
+    \begin{frame}
+        \centering
+        \textbf{Python Package Dependency Network}
+        \vspace{1cm}
+        \begin{columns}[T]
+            \column{0.4\textwidth}
+            \column{0.4\textwidth}
+        \end{columns}
+    \end{frame}
+
+    \begin{frame}
+        \frametitle{Analysis}
+        \begin{figure}[htpb]
+            \centering
+            \includegraphics[width=0.8\textwidth]{./pics/top_all_edge_growth.png}
+            \caption{Node growth in log scale, all rounder top nodes of all
+            time}
+        \end{figure}
+    \end{frame}
+
+    \begin{frame}
+        \frametitle{Analysis since 20016}
+        \begin{figure}[htpb]
+            \centering
+            \includegraphics[width=0.8\textwidth]{./pics/deg_2016_growth.png}
+        \end{figure}
+    \end{frame}
+
+
+    \begin{frame}{Bibliography}
+        \nocite{barabasi}
+        \nocite{pypi}
+        \printbibliography
+    \end{frame}
+\end{document}
+
diff --git a/pres/script.md b/tex_stuff/pres/script.md
diff --git a/pres/uni.bib b/tex_stuff/pres/uni.bib
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diff --git a/tex_stuff/report/report.tex b/tex_stuff/report/report.tex
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+\documentclass[a4paper]{article}
+\usepackage[T1]{fontenc}
+\usepackage[utf8]{inputenc}
+\usepackage{mlmodern}
+\usepackage{graphicx}
+\usepackage{geometry}
+\usepackage{float}
+\geometry{a4paper, top=15mm}
+\usepackage[parfill]{parskip}
+\usepackage[colorlinks=true,naturalnames=true,plainpages=false,pdfpagelabels=true]{hyperref}
+
+\usepackage[backend=biber, sorting=none]{biblatex}
+\addbibresource{uni.bib}
+
+\usepackage{amssymb}
+\usepackage{amsthm}
+\usepackage{mathtools}
+
+
+
+\title{University of Vienna\\
+\vspace{1cm}Seminar:\\Complex Network Analysis\\
+\vspace{0.5cm}Python Package-Dependency Network
+}
+\author{Milutin Popović}
+
+\begin{document}
+\maketitle
+
+\section{Introduction}
+
+The following project will map python packages and their dependencies into a
+time dependent directed graph(complex network), analyze the graph and
+visualize it Virtual-Reality (VR). Most python packages have a given set of
+dependencies that are needed to use the specific package. Both the package
+and the dependency will represent a vertex. The directional edges between
+packages will represent their dependence. Note that it is also possible for a
+package to have no dependency, in this case it will have no outgoing edges
+and the construction of the graph will avoid self loops for such specific
+cases. The main analysis of the graph will evolve around the growth exponent
+of nodes. Based on the covariance of the fit of the cumulative logarithmic
+growth function. The analysis will separate the best performing
+packages(nodes) released not before 2016.
+
+\section{Data}
+At the time of this doing this project the number of nodes was around
+$3.6\cdot10^{5}$ and the number of links was around $10^{6}$. The data is
+sourced from the Python Package Index(PYPI) main website \cite{pypi}. The
+gathering of the data resorts to first of all finding out the names of all
+the packages then with this information browse the \textit{json}-quivery of
+PYPI for every package. The provided data by the Python Package Index has a
+\textit{json} type structure for all packages, which includes both the
+release date and the dependencies of a specific package(and a lot of other
+information too).
+
+
+Querying through all packages
+and writing an edge-list in the package-dependency format gives a directed
+network as is.
+
+The important thing is that, given the release information for each package
+the graph can be restructured by time steps from the time the first package
+was released to the time the last package was released. The reconstruction
+will create a network for each month from around the start of the year 2005
+to the middle of the year 2022. The edge-list as described above together
+with the time stamps of the package releases will be treated as a single data
+entry, even though it is not because the edge list represents a connection
+between a package and its dependency while the release date is only of the
+package and not not its dependency. The first sorting will create a file for
+the package) inside the file. The second sorting will go through all of the
+files(months) again and check if the dependency of a package was indeed
+released, if not it will buffer it and delete the connection to the package
+in the current file. Later on when the actual dependency is released, only
+then the deleted entry (package-repository) would be added from the buffer to
+the currently selected file.
+
+This turns out this is a sorting problem requiring a lot of buffer and
+relying on loops, where python may not the best language for the task. That
+said I would advise against executing this code since it needs to sort and
+resort $10^{6}$ links based on their time stamp.
+
+The data and code for sorting can be found under my Github instance
+\cite{sorting}.
+
+\section{Implementation and Analysis}
+The implementation of the whole project can be found under my Github instance
+\cite{impl}.
+
+To first of all build a general understanding of then network, a simple
+degree distribution observation of the last time step (current day network)
+was made. As most complex networks in the internet, this network also follows
+a power law distribution. In the figure bellow the degree distribution is
+show for the network, without incorporating directionality of the network.
+\begin{figure}[H]
+    \centering
+    \includegraphics[width=0.8\textwidth]{../pres/pics/dist_u.png}
+    \caption{The left picture shows the power law distribution, the right
+    the cumulative degree distribution, both in log-log scales and both
+    without incorporating directionality. The red dotted line is the regression fit}
+    \label{dist_u}
+\end{figure}
+The second case differentiates between outgoing links and incoming links,
+the observations are rather similar
+\begin{figure}[H]
+    \centering
+    \includegraphics[width=0.8\textwidth]{../pres/pics/dist_d.png}
+    \caption{The left picture shows the power law distribution of in-degree
+        represented by green squares, out-degree represented by blue
+        triangles. The right picture shows the cumulative degree
+        distribution, both in log-log scales. The blue and green dotted lines are
+        regression lines of in and out degree respectively}
+    \label{dist_u}
+\end{figure}
+Another rather interesting thing, is to look at how well different nodes are
+ranked in the network based on centrality measures. The figure bellow shows
+such analysis.
+\begin{figure}[H]
+    \centering
+    \includegraphics[width=1\textwidth]{../pres/pics/sneak_peak.png}
+    \caption{Centrality measures of the network}
+\end{figure}
+
+As for the analysis of the time evolving network, the given tools by the most
+common network analysis python programs do not have a way of dealing with
+such networks. That is why a child class of the class \texttt{nx.DiGraph} is
+invented, calling it \texttt{TDiGraph}. The general concept of this class is
+that it incorporates all the class methods of \texttt{nx.DiGraph} and adds an
+additional input and three more methods. The additional input is a list of
+tuples containing a time stamped edge list in the format \texttt{(package ->
+dependency, at time $t$)}. This allows us to create first of all two methods,
+starting with a graph at $t=T_i$ the method \texttt{forward} would add all
+edges corresponding to time $t=T_{i+1}$ and label the network to be at time
+$t=T_{i+1}$. The second method does exactly the reverse and removes nodes
+labeling the network to the time $t=T_{i-1}$ this method is called
+\texttt{backward}. The third method allows to instantly go to a specific time
+from $t=T_k$ to $t=T_i$ for both $k<i$ and $i>k$, doing nothing at $i=k$.
+Specifically the first two methods, \texttt{forward} and \texttt{backward}
+allow for the iteration over the network. This is especially practical since at
+each time step different analytical information is obtained. For example degree
+growth over the months shown in the figure bellow.
+\begin{figure}[H]
+    \centering
+    \includegraphics[width=0.8\textwidth]{../pres/pics/deg_growth.png}
+    \caption{Node growth in the network over the months}
+\end{figure}
+Now that the basics are out of the way, a rather interesting prediction to
+make is to separate python packages that have performed based on their
+\textbf{in}-degree growth rather well and were created in the last couple of
+years. The first problem encountered, is that the degree growth of a specific
+node has a lot of noise, compared to theoretical models. To avoid this it is
+more intuitive to consider the cumulative degree growth, in this case the
+curve will be somewhat smoother. The second problem is that even thought this
+is a scale free network there are all kinds of degree growths in this network
+which do not coincide with theory in \cite{barabasi}. The theory fits a model $k_i(t) =
+\left(t/t_i\right)^{\beta_i}$ of degree growth, as mentioned above
+the analysis considers the cumulative degree growth and additionally will fit
+in the standardized log scale. Then the function fit is linear $\beta_i \cdot x
++ c$ for given $x$. The main objective is to find all the $\beta_i$'s
+corresponding to the nodes. Since there are all kind of degree growths, it is
+worth only considering certain fits satisfying that $\text{CoV}(\beta)$ is
+under a certainly well chosen threshold, then  a wide separation of nodes is
+already established. It is also worth to motion here, that some test
+statistic can be used such as the $\chi^2$ test. But when dealing with a
+large number of fits, for the sake of computational cost only a $\text{CoV}$
+threshold is considered. Together with considering only packages that were
+released not before 2016 the following packages are given by the analysis,
+shown in the figure below.
+\begin{figure}[H]
+    \centering
+    \includegraphics[width=1\textwidth]{../pres/pics/deg_2016_growth.png}
+    \caption{Top performing packages based on \textbf{in}-degree growth of
+    nodes, released in not before 2016 in a y-log axis}
+    \label{fig:findings}
+\end{figure}
+
+The final thing now is to visualize the network in Virtual Reality. For this
+a layout needed to be created, since the standard spring layout or similar
+does not represent the ``pseudo degree hierarchy'' of the network. The main idea is
+to visualize the findings in an intuitive way. Based on this a layout
+evolving around the degree distribution of the network was made. To make the
+explanation comprehensible the reader should think about a bar diagram
+representing a power law distribution, the first few bars would be
+very big while the last would be very small. The idea is to take all the
+nodes in one bar and map them uniformly on a circle starting from the first
+bar to the last bar. The disks would be constructed in such a way that they
+will visually fit all the nodes inside, i.e. the radius of the disk would
+depend on the node size. Have now $n$ circles/disks corresponding to $n$
+bars. To make a three dimensional visualization possible, a stacking of these
+disks based on a distance function is made. The most visually compelling is
+the $\sqrt{\cdot}$ distance function between the disks, so the $n$-th layer
+would be $\sqrt{n}$-away from the first layer where the first layer is the
+layer with most nodes. The network would look something like the figure above
+\begin{figure}[H]
+    \centering
+    \includegraphics[width=0.8\textwidth]{../pres/pics/plot_sqrt.png}
+    \caption{Scale-Free network with layout based on degree distribution}
+\end{figure}
+
+In the Virtual-Reality setting, a cut-of of the network is made, removing all
+nodes, that have an in-degree below $10$ and painting the predicted nodes in
+\ref{fig:findings} red.
+
+\section{Discussion}
+In summary, based on an idea, data from the Python Package Index \cite{pypi}
+was mapped to a complex network. With the help of release information of each
+package, a time evolving network was created. For the sake of dealing with
+such graphs a very practical python child class called \texttt{TDiGraph} was
+created. It is verified that the network is a scale-free network following a
+power-law distribution. Additionally both in the static case and in the
+dynamic case of the network, a node degree analysis was made. In the static
+case, based on centrality measures. In the dynamic case based on the degree
+growth exponent and a release of the node not before 2016. Lastly for the
+VR-setting a specific type of layout was constructed based on the networks
+degree distribution.
+
+The initial idea for the VR-setting was to really visualize the time
+evolution, in a sense  make a ``gif'' in VR. This ``gif'' would start with
+a graph $t=T_{2005}$ add nodes and links until $t=T_{2022}$ last step. While
+for each step the networks layout needs to be recalculated, because the
+setting of the degrees of each time step is different. This kind of structure
+would visualize the ``coming up'' of the predicted nodes in \ref{fig:findings}
+labeled in red, as they rise through the layers of the network. However this
+could not be realized since the unreal engine of the VR-framework did not
+allow for node-link removal nor appendage while changing structure.
+
+An additional tweak one could go through is to include user downloads for
+each package, this data is also provided by PYPI. The number of user
+downloads can be incorporated to construct a weighted graph, which would open
+doors to further analysis.
+
+\nocite{barabasi}
+\printbibliography
+\end{document}
diff --git a/tex_stuff/report/uni.bib b/tex_stuff/report/uni.bib
@@ -0,0 +1,31 @@
+@online{pypi,
+    title = {Python Package Index},
+    author = {Python Software Foundation},
+    urldate = {2022-03-15},
+    url = {https://pypi.org/}
+}
+
+@online{impl,
+    author = {Popović Milutin},
+    title = {Git Instance, Implementation: Jupyter-Notebooks},
+    urldate = {2021-24-10},
+    url = {git://popovic.xyz/vrproject.git}
+}
+
+@online{sorting,
+    author = {Popović Milutin},
+    title = {Git Instance, PyPi sorted Data},
+    urldate = {2021-24-10},
+    url = {git://popovic.xyz/pypi-scrape.git}
+}
+
+
+@book{barabasi,
+  title={Network Science},
+  author={Barabási, A.L.},
+  isbn={9781107076266},
+  lccn={2016439537},
+  url={https://books.google.at/books?id=iLtGDQAAQBAJ},
+  year={2016},
+  publisher={Cambridge University Press}
+}