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{
"cells": [
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"using Pkg, Revise, Plots, ArndtLabTheme\n",
"pyplot()\n",
"theme(:arndtlab)\n",
"\n",
"includet(\"/home/abdullae/Julia_wd/functions/module_functions_net.jl\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"using BSON, MetaGraphs, LightGraphs\n",
"\n",
"sd_net = BSON.load(\"sd_network_graph.bson\")[\"sd_network\"]\n",
"ccs = connected_components(sd_net);\n",
"real_lens = map(length, ccs);"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"using StatsBase, LaTeXStrings\n",
"\n",
"deltas = [0.00032]\n",
"fracs = [0.52]\n",
"cols = [1, 2, 3]\n",
"alphas = [1.52]\n",
"consts = [1.2]\n",
"max_elem = 3500\n",
"in_mod = \"mod2\"\n",
"out_mod = \"com_nodes_edges\"\n",
"#labels = [L\"$E \\propto N$\", L\"$E \\propto N \\log (N)$\", L\"$E \\propto N^{1.6}$\"]\n",
"\n",
"p = plot()\n",
"for i in 1:1\n",
" nods_m, edgs_m = MainNetworkGrowth.Network_grow(deltas[i], fracs[i], max_elem, in_mod, out_mod, \n",
" lim_comp=\"nodes\", start_cnt=2);\n",
" \n",
" p = plot!(log10.(nods_m), log10.(edgs_m), markershape=:circle, label=L\"$f=$\"*\"$(fracs[i])\",\n",
" line=false, markersize=6, grid=false, color=cols[i], xtickfont=Plots.font(13), ytickfont=Plots.font(13))\n",
"end\n",
"\n",
"for i in 1:1\n",
" xs = range(1,stop=45000,length=10)\n",
" ys = consts[i]*xs.^(alphas[i])\n",
" p = plot!(log10.(xs), log10.(ys), color=cols[i], label=L\"$\\alpha=$\"*\"$(alphas[i])\") \n",
"end\n",
"\n",
"#xs = range(2,stop=45000,length=300)\n",
"#ys = consts[2]*xs.^(alphas[2]).*log10.(xs)\n",
"#p = plot!(log10.(xs), log10.(ys), color=cols[2], label=L\"$\\alpha=$\"*\"$(alphas[3])\") \n",
"\n",
"gui(p);\n",
"\n",
"#MainNetworkGrowth.Network_grow(0.00032, 0.52, 1320, \"mod2\", \"graph\", lim_comp=\"time\", start_cnt=5)\n",
"#savefig(\"./pics/nodes_edges_sup_mod1_2.pdf\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10-element Array{Int64,1}:\n",
" 6\n",
" 7\n",
" 8\n",
" 9\n",
" 10\n",
" 11\n",
" 12\n",
" 13\n",
" 14\n",
" 15"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"using DistributedArrays, Distributed\n",
"\n",
"pros = addprocs(4)"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" From worker 10:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 13:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 12:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 6:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 9:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 15:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 8:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 14:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 7:\tWARNING: replacing module MainNetworkGrowth.\n",
" From worker 11:\tWARNING: replacing module MainNetworkGrowth.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: replacing module MainNetworkGrowth.\n"
]
},
{
"data": {
"text/plain": [
"Task (queued) @0x00007f5551b08280"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"@everywhere include(\"/home/abdullae/Julia_wd/functions/module_functions_net.jl\")\n",
"\n",
"function run_parallel_growth(delta, frac, max_elem, in_mod, out_mod, steps)\n",
" @async begin \n",
" global out_sim = pmap(x -> MainNetworkGrowth.Network_grow(delta, frac, max_elem, in_mod, out_mod, \n",
" lim_comp=\"nodes\", start_cnt=2, nd_lim1=1, nd_lim2=1400), steps) # nd_lims remove or add!!!\n",
" display(\"over\")\n",
" end\n",
"end\n",
"\n",
"delta = 0.01 # 0.01, 0.005, 0.05 (now)\n",
"frac = 0.5\n",
"max_elem = 40000 # 6670 15000\n",
"in_mod = \"mod2\"\n",
"out_mod = \"cc_distr\" # \"cc_distr\" \"node_deg\"\n",
"\n",
"run_parallel_growth(delta, frac, max_elem, in_mod, out_mod, 1:1000)"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"using Histograms, LaTeXStrings\n",
"\n",
"all_sims = BSON.load(\"/home/abdullae/Julia_wd/sim_PCM_all.bson\")\n",
"#all_sims = BSON.load(\"/home/abdullae/Julia_wd/mod2_cc_supfig.bson\")\n",
"\n",
"function plot_4_supplementary(p, ccs, alpha, col, stri; lev=2)\n",
" out_filt = filter(x -> 0 < sort(x)[end], ccs) # out_sim\n",
" counts = reduce(vcat, out_filt)\n",
" counts = convert(Array{UInt,1}, counts)\n",
" h = Histograms.Histogram(counts, scale=:log) # [counts .> 2]\n",
" p = plot!(h, xscale=:log10, yscale=:log10, markershape=:circle, line=false, grid=false, color=col,\n",
" markersize=6, xtickfont=Plots.font(13), ytickfont=Plots.font(13), label=stri*\"$(round(alpha-1.0, digits=lev))\")\n",
" return p\n",
"end\n",
"\n",
"p = plot() # legendfontsize=10\n",
"\n",
"alphas = [1.5, 1.5, 1.5] # [1.2, 1.5, 1.8]\n",
"deltas = [1.005, 1.01, 1.05] # not needed for f picture\n",
"inters = [0.05, 0.07, 0.15] # [0.15, 0.18, 0.12]\n",
"colors = [1, 2, 3]\n",
"\n",
"for (i, k) in enumerate([:ucm_005, :ucm_01, :ucm_05]) # [:sim_02, :sim_05, :sim_08]\n",
" p = plot_4_supplementary(p, all_sims[k], deltas[i], colors[i], L\"$\\delta=$\", lev=3) # f= and lev=2\n",
"end\n",
"\n",
"for i in 1:3\n",
" x = range(2, 30000, length=10); y = inters[i]*x.^(-alphas[i])\n",
" p = plot!(x, y, grid=false, color=colors[i], label=L\"$\\alpha=\\!-$\"*\"$(alphas[i])\")\n",
"end\n",
"\n",
"gui(p)\n",
"#savefig(\"./pics/cc_sup_mod2_deltavalues.pdf\")"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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gdzs4y1MIUFKPs5K2NQ/rkzEV+Hsm73YmIE/PhBB1k9YOHp2vqinRkD8ou/338aPzytyPbOrUqYSHh9OhQwecnZ2ZMmUKI0eOLNM9ly1bxrhx43jnnXdwc3Nj1apVuecmTJhASEgIISEhJV77zDPP8M0333D58mUGDBiAq6urxeKAiiQBmSgXpSoKcHFRlZljx4JeD3PHQ+SPcNUIJwxwwsBNZy05gfa4dNJBr9uPkkvqcebXs9htTQ0UCsbMDEYTc74+xs5T1+XpmRCi7uoQAiNXq2rLvAn+bs1VMNYhpMwf4eXlxbZt28p8n7zatWvHvn37LJ5bsWJFqa9dtmxZua7LFhKQiXJhdVGAtzfM/5jItvezLqM+g6JTGPRzCk1SDLA/Ux07P4Wn7KDln4XzzMxub236PDiLeWGdmRFxJF9QptNqCGzRgLiE5CLXvv23a4Ue0ksxgBCizukQAu0HS6f+KiIBmSgXthQF6HU6ZjdpTA4mTvg58cHIZtx7PJ2h0cn0P5iK45k/wJxf4GentjQ72EP9Avlmt7c2i2qh8dkpig3Iinh4JvM0hRB1j9auTK0thO0kIBPlxtqigIKFADl2GvZ2dmVvZ1ecbubw1uUuPLznMuzYAedz4HwOhi2ZHO/kxPmujgS3MOBtMt7pcVZEC43xD/6TZVrPorczi/lOBedpqtdkpqYQQojyJQGZKFfWFAUUNx0gw9GOrf1b8PCcz+BoNMdnDKR+XCatL2Zy98Eb3H3wBomudpy9uz6tewdB4h9FttBo/OM0Fg38hgXf/VaoSrN12478+NvVItfhU6BYQJrPCiGEqAgSkIkqU9rpAHp/X54c6UfOCCN3nb/F0OhkBv2cTOPUHNx/ugEPDgNfDwjIUNuaDQqM4TAaGJTwAQMdthaq0kxs8096nLL89CzvPE0oeaam5JsJIYSwlcyyFFUmtE0oOo3l3wnyFgLkbm1qNPzq78iCJ7x48IP2/P1FP77t0QCDgz3EX4ftmbAwHT69AYeyIDNP4HTqe4tVmurpmXuJ8zTBupmaQgghhDXkCZmoMqUtBLC0tZljp2HP3a7suduVfZ79eXN7PGyKgnM5uYfhu0yy2utw6qSD1jooEHQB6ulZ1g8ETRxZ7DxNKP1MTSGEEMJaEpCJKlWaQoCStjabNG0Nr71IZLMY/oMTj/6cSsjeZFpdykR3NBuOZoOzBgLt4W57aKbNP0/z9100/2lhsfM0oXQzNYUQoibLMeZw8OpBrmVco4lTE4I9g7GTtheVQgIyUeVKKgQoTY8zPTDbw50cTKwc0oSVgz3ocO5Ovpl7Wg7sz4L9WVxuZs/Ze5xo1R68nE1wIZZCtZYF5mkCpZqpWRSpzBRCVHfbzm9j3oF5XMm4M0S8qVNTZnSfwUN+D5XLZ5hMJl5++WW2b9+O0WhEo9GwZcsWmja1bU7m6dOneeqpp7h+/ToNGjTgk08+oWPHjlZf6+/vj4ODA46O6hfrV199lVGjRtn2JW0kAZmo9kqztbno4KJ8LTTQaDjR0pETLR3556hmPBP7Jy1/yaDvoTSaXc6m2f9SMH4D11rXo0lHLdxlDw5Fz9MESjVT0xKpzBRCVHfbzm9j6s6pmAr8cno14ypTd07lX33/VS5BWWxsLBs3buS3337D2dmZmzdv4uDgYPP9nnnmGZ5++mnGjRvHpk2bGDduHDExMTZdu3HjRoKCgmxeS1lJQCZqhJK2NotroWHQafh3Dw9MPcAlI4eHY1IIiU7mnpMZNDmTBWeAb27BXTroXA9a2d3JN8szTxNKnqlZkFRmCiGquxxjDvMOzCsUjAGYMKFBw/wD8+nn06/M25cBAQE4ODjQv39/3N3dmT17Nvfee69N97p69Sq//PILP/zwAwBhYWG88MILnDlzptDQcGuurSoSkIkao7itzZLyzMx/zaQ72fFlH3e+7ONO82tZDN6XTPieRBpdM8BRddxw1WLsZI9r3nmaUKqZmubtTbPSVGbKJAAhRFU6ePVgvm3KgkyYuJxxmYNXD9KtWTebPyczM5MRI0bw1VdfERgYSFRUFKGhoSQkJGBnpwK9UaNGcfLkSYvvj4qKwsfHJ/fnhIQEvLy80OlUKKPRaPD19SU+Pr5QkFWaa8eOHYvJZKJ79+7MmzePJk2a2PxdbSEBmagVissz06Cx+JvfxSb1WB7iyc+PuKG9kMOg6BQePZCi8s2iM9Wxez2Mc4Qnn4TfVpc4U9O8vWkmlZlCiOruWsa1cr2uKJ9++in+/v4EBgYC8PDDD3Pp0iWMRmNuQLZx48YyfYatdu/eja+vL9nZ2bz++us89dRTfPvtt5W6BgnIRK1QXJ7Z/S3uZ5d+V5HvPVa/PqbWcLi1M+897sX9R9MI2ZtM37g06v16EqZPhxkzINALWmepfLN6FlpoFNjehLJVZkohgBCiMjRxKt2ToNJeV5T9+/fTpUuX3J9jYmIIDAzE3t4+9zVrnpD5+Phw6dIlDAYDOp0Ok8lEfHw8vr6FC6xKutb8p729PVOmTKFt27Zl+q62kIBM1BpF5ZkB7L2wt1RPzww6Dbu6uLGrixuuN3J482JnHtx1AX76CY5ehKPczjezV1MBWubJNzPP1MzDXJnZzHSF0XY7cgsBNuT047KmaZGVmVIIIISoLMGewTR1asrVjKsWdxM0aGjq1JRgz+AyfY67uzsHDhwAIDExkWnTpjFz5sx811jzhMzT05Pg4GDWrl3LuHHjiIiIwNvb22JOWHHX3rhxg+zsbBo2bAjA+vXr8wWOlUUCMlGrFJVnVtTTsw6NO3Dk+hGL90pztuP7R3x58K0N8McfsHwxfPwh/GmEI9lwJJt0Ny2mTva4dnaA4LGF7uHj7sT67r/T5dBMdBpj7uvP2P2PuC5z8XEfVOg9UggghKhMdlo7ZnSfwdSdUwv9kqpB/cI5vfv0Mif0T506lfDwcDp06ICzszNTpkxh5MiRZbrnsmXLGDduHO+88w5ubm6sWrUq99yECRMICQkhJCSk2GuvXLlCWFgYOTk5mEwmWrVqxerVq8u0LlvUyIAsMzOTF154gR9//JFr167h5eXFpEmTmDRpUlUvTVRTRT0923x6c5EBGdyZp0nLlvDOv4h80J5NO79gcHQKj+5PoWFqDuzNvH0Mg/BweOIJaN5cvS/pHN0Oz4I8wRiAvSaHbkdmQ58hUggghKhyD/k9xL/6/stiH7Lp3aeXS8sLLy8vtm3bVub75NWuXTv27dtn8dyKFStKdW2rVq04dOhQua7LFjUyIDMYDDRr1owffviBVq1aceTIEQYMGEDTpk3LHG2L2svS07PSNJ0106fpmX3he3ICnIkLcGb+E83ofTidIdHJ9DmcRr0jR+Dll1XO2UMPqeCs4W9SCCCEqBEe8nuIfj79pFN/FamRAZmzszNvvvlm7s9BQUGEhITw008/SUAmrFLaeZpwe8h5nuDKoNOyvasb27u64ZZu4M2Lnem/Uw/R0fDDD+pw0EF7jco387crPE+zHAsBpAhACFFWdlq7MrW2ELazOSB79913OXjwILGxsfzxxx/4+flx7tw5i9cajUY+/PBDli1bxrlz52jSpAkjR45k7ty5ODs727qEXNnZ2ezZs4eXXnqpzPcSdU9p5mlC8c1nU110bBngR/+3N8LZs7B2LaxZo/73YeBwNrhqoNPtYoCmt3/jLKdCACkCEEKIms3mgOy1117D3d2d4OBgkpOTi732xRdfZNGiRTz22GNMmzaNX3/9lUWLFnHo0CG2bduGVqvNvXb06NHFVlns2LGDvn375nvthRdewNXVlbFjCydVC1EaJc3TNF9T7Hlzvlnr1jB7NsyaBT98Ca8/gfF4Fto0E0RnQXQWWc3sqHd3PRg9sNB9rC0EkCIAIYSo+WwOyM6ePUurVq0ACAwMJD093eJ1x48fZ/HixYSGhhIREZH7esuWLZk8eTIbNmzgiSfujJxZvnw5S5YsKfJzGzRokO/nqVOnsm/fPrZv3069evVs/TpClMiafDMANBoYEEqk/RTeOvs1PY/eIGRvEr0Pp1Pvcg5cvgkd74VHHlH5Zn/5Czg5WV0IIEUAQghR82lLvsQyczBWkvXr12MymZgyZUq+1ydOnIiTkxNr167N97qrqyseHh5FHnkbyE2ZMoWtW7fy448/4uHhYetXEaJUzPlmOk3+32Ms5ZuZ6dP0zNZv4VY9O7Z3dWPKZD/6fdiON8d6cTjACYxG2LJFTQJo2hTGjYOVc1TCvyXmQoA8pAhACCFqvgpP6o+JiUGr1dK9e/d8r9evX5+goKAip7KXZPLkyWzfvp0dO3aUet5Ueno6qampuT87ODiUacq8qHtKm29mVrAQACDFRcfn/Rvzef/GvNRgGE8dslP5Zn/8AZ9+qi5yy5Nv5lmgwqlAIUBZpgEIIYSoHio8ILt48SIeHh4WA58WLVoQHR1NVlaWVduN58+fZ/HixTg4ONCyZcvc1x944AG+++67It/Xp0+ffD/Pnj2bOXPmlPpzhYDS5ZuZFVcIAHDcPQveWABz5sDevSowW7caUm/B3izYm4Xepx6/d3UioJ2J5vVNhQoBbJ0GYCbVmUIIUfUqPCDLyMgo8ilU/fr1c6+xJiDz8/PDZLKcM1OcXbt2ERQUlPuzPB0TFa3UhQAaDfTqpY45Uzkwoyc3jmTT62ga3glZeCdkYdDClbYONPVuBDdvgqN68mXLNAAzqc4UQojqweYcstJycnIiMzPT4rlbt27lXlMZXFxccHNzyz0kIBMVLbRNaKGcMzOLhQCA3sWZp/u3YPIUP/ovbM/bY7w43MoRnRGa/pYJEyerfLPx42HnTvjzd7odnpUvGIM8RQBJ5yx+fknVmQmJGTZ9ZyGEqK4mT56Mv78/Go2GuLi4ql5OPhUekDVv3pzr169bDMouXLiAh4eHVEeKWsuWQoDNpzeTc3uWXLKrjg0PNWbMrNYMfbcNy4Y2IaW5O6SlwapV0K8fdAiGbTfgmoWJABaKAMxKU50phBC1yfDhw/npp5/w8yvcA7KqVfiWZbdu3fjhhx84cOAADzzwQO7rt27dIi4ujt69e1f0EoSoUtYWAhSVd3bOy4ElYU35feqjzLcLgdWr4Ysv4GoKXAV+yoLmWlUIEGgPzrd/37IwDQCkOlOIOsNkgowKfuLt5KRSL0pw5coVXnzxRX777TeysrLYsGED48aNY+/evZWya1WdY44KD8hGjRrFO++8w8KFC/MFZMuXLycjI4Mnn3yyopcgRJWzphCgpLyzFm4+EPwAPPAALF4M7zwFGzdjOmNAc9EIFzMx/pBJZoA9jp110L25xfuYqzO9NVcLFQPoTZ5SnSlEbZGRAS4uFfsZ6elQisk7jz32GBMmTGDdunW89NJLDBs2jLlz5+YLxkaNGsXJkyctvj8qKgofH59yW3Z1YnNAtmbNGs6fV795X7t2jaysLN566y1AJd2Hh4cD0KlTJ55//nmWLFlCaGgogwYNyu3U36dPn3xNYYUQVjagrV8fXpxPZIO9LLR34ZEDqQyJTqbTHzdxPJUNp7Lh+w9h5CUYO1YVDdyejDG6my9X96ziXbuPCxUDvJYzkdHd+lX4dxVC1B0///wzKSkpjB8/HlCdFtzc3ArFAcVN67Hkvvvu4/Tp0xbPHTp0qMYEcDYHZCtXrmTXrl35Xps5cyag2kuYAzKAhQsX4u/vz8cff8w333yDh4cHkyZNYu7cufnGJgkhrBt4DqDX6Zjt4U4OJtY93Jh1Dzem5cVMhkQnM3RfMl5/psHKlerw84MxYyA8HB9PB+bbL0drKlwMMN9+BVrNc4C/xTVKqwwhahAnJ/UEq6I/owQxMTH06NEj9+fY2Fj++te/oimw1WntE7J9+/bZsODqx+aAbOfOnaW+1s7OjmnTpjFt2jRbP06IOsWavLO8RQBmfzR3YPHwpiwJ9WS2oT9hP99Q+Wbnz8Pbb6ujXQu0rW5CoA6c8v9ipDXdLgZ4cFahz5NWGULUMBpNqbYTK1q9evVyd9a2bt1KREREvlZUZtY+Iast5PGUENWUOe9sQe8FTA6ebHURAIBJq2F/u/rq6diVK7BhAwwaBHZ2cPICfHcL/pkO6zPgRDYY8gR2FooBpFWGEMJWI7q2ZTMAACAASURBVEaMwGQy0b59e95++22++OILFi5cyJ49eyptDc888wze3t7o9XoGDBhAQEBApX12SSo8qV8IUbFK3XzW0RFGjVLHlSswdxx8+QNcMsIpA5wykFlfQ3agPS6BOuhVuMO/uVWGxUIAo6cMMhdCFMnd3Z3t27fne02vL36aSXlbtmxZpX6eNSQgE6KGs6oIwKxpU3jrP0S26sWnt+ozaF8KQ/Yl0yzRgMMvWfBLFuxYCWNzIDwc2rQBVKuMMO1u5tsXLgSYkT2RhETLFZ1CCCGKJ1uWQtRwtjSfhTvFAKe9HflwRDMeeb8d46f781Wvhtyor4XzCfDmm9C2Ldx7L/z739xjOFcoGANVCDDPfjmBTkkV9j2FEKI2kydkQtQC1jafhcLFACathpi7XIi5y4W3w428ef0eHv3pGnz/PezfD/v3M1anRdNaC3fbQxsd6O5UR9lrchhttwPoX5FfVQghaiUJyISoJaxpPgvFFwPcctCyvVdTHn3tU7h8GdavhzVr0Bw6BCeNcNIA9YGO9moygI8daDS43bpY5D0v/vEb57f9h3qp8WS5+eL30HM0byn5ZkKUN51O/ac9o6K784t8zP+87e3tbXq/BGRC1FGlLgZo1gxefFEdK56HVSswHMtGl2qC2GyIzcbgrkXXSQetXS3eK+arJXQ5NJPm5q3ONMj+ZA0xXebS7S8vlOfXEqLOa9euHS4uLoSHh/POO+/QunXr3CBNlD+DwcDZs2d59dVXcXV1pW3btjbdR/4vJEQdZVMxQNjLRKZE8sbfGhB8MoOhe5N5+JdUnBKNsCsLdn0I/zmgpgKMHAnu7lz84ze6HJppMe8s6NAsLt79kDwpE6IcOTg4cPjwYcaPHy/TcCpR37592b59u80zOTUmk8lU8mU128GDB+natSuxsbEEBwdX9XKEqDYiz0QWOREgpHVIoev1aXqGbB6UL/fMMdNI/9hUhkYn0/NEBhrj7cCrXj0YPJiTzbJo5747X75ZXvtajOO+iR+W7xcTQmA0Grl8+TJXr17FaDSW/AZhE61Wi6enJ82aNSs0fSg1NZUGDRqQkpKCm5tbsfeRJ2RC1GHWFgNYmgpw00HLNz0b8k3Phvyj2UgmHHOCNWvg8GH48kvaAThqoKNO5Zt5q3wzM/vUhAr8hkLUXVqtlubNm9O8ubSjqQkkIBOijrOmGKC4QgCAU45pMG0mTJsGR47AmjVkLf8P9VJuwC/Z6nDXqsCssz000pLtVsTg36RzanxT0jlo5A/BY9WfQghRC0lAJoQotVIXAgB07gzvvcf1Z8bhOedeMo9lUe/XbOwTjbAzE3ZmYvSx465nG0NSEjRqdOe9cesg8gUw5dx5be+HELIYgiQnRghR+0hjWCFEqYW2CS3UgNasqEKA5gEdWRIyjvuntOH+Re15dWILojs6Y9SANiGHhv83W1VyDh8OX38NV04VDsYAjAb4epJ6YiaEELWMBGRCiFKzZSqAPk3PJ7f2kKPRcLO+Hf+7vxHPvNySh//Vjg9GNSerY3vIyoKICBg2DNp2gW/SQW+AgjVHRoPaxhRCiFpGtiyFEFaxqRCg4NMu4Goje/470B27VyYy2a6PKgT47DPViDYGiMmGxnnyzRre/v0x6XwFfjshhKgaEpAJIaxWnoUA+nQ99L4b7r4b5s3jxjtjcd60CeNv2Wj/NMKOTNiRSaafDofOOlLbu1Nk8bgUAgghaigJyIQQFcqqQgCdjs/unoCH427ed3Gl38E0hkYn0/3XGzicN8B5A05bPoTN5yE8HB59FMxjSqQQQAhRg0lAJoSoUNZOBDhww8CBJu6YNCa+7tWIr3s1omliNoP3JTM0OpmAC5nwxRfqaNIERo+GYQ/CnueBAs0vzYUAfj3lSZkQolqTpH4hRIWythAgo95PmDT5k/mvuNvz38FNeOytAF5dMEHN1fT0hGvXYPFieOgvsCQV9mRCsoWgTAoBhBDVnDwhE0JUOGsKAdwbpMONIm6k0ZDWxQ1e/icsWABbt6pigE2fw585sD1THX52cLc9dLAHB40UAgghqj0JyIQQlaK0hQBtG/uz62Ix59391P/Q6WDgQHWM9oeVH3DrqAGHcwY053PgfA6mb2+haacD+0zIzr6Tb5aXFAIIIaoB2bIUQlQrtjSf5YGniezdmHtnteOR99uycHhTzjZ3QGMAjhvg9c+gRQuYMgViY+/0N4tbB4uCYc8/4ViE+nNxV/W6EEJUIgnIhBDVik3NZ3U6Znu4k6PRcLlxPVYOacJf3g5g1JzWfPawBzkejVW+2Ycfwj33QMeOMHs6rP67TAQQQlQLsmUphKh2bGo+S4Gu/hoNJ/wdOeHvSNKb43nheluVbxYZCb/+CnN/Vdf526nGs+Z8M7hTCPDgrAr8lkIIcYcEZEKIaqk8m8/GZ16CwS/C4MGQkgKbNsG/XocTl+Fcjjq+vQXtdSo4a62TQgAhRKWSgEwIUeO56ZoWf94uz/kGDeBvfwP/CxD1HinHDOQcNeB+1QDHbh/OGnj0V2h9CIKCQKOp4G8ghKjrJCATQtR4Wcn3YDKtRqMxFjpnMmnJSr6n8JuCxxIZ9zGzgxqSA3T84yZDo5MZ9HMKjdJzIGIfRASrfLPwcHjySfDOs2Uq1ZlCiHIkAZkQosZLSnXj1qUw6ntF5AvKTCYtty6FkexQePplbiHA7dyz462cON7KifdHe9H76A3ejQ/E6dutcPw4zJgBr74K/fur4CzAANteljFNQohyIwGZEKLG83V3xHC4KzcyWmLfMAatfSLGbHeyk7thynbHx92x0HssFgIABp2G7V1cWDH2YSb/d40a0bRmDezZAz/+qA57oL29yjdrZQdajYxpEkKUibS9EELUeKO7+aLTajBlu5N1bQC3Lj5O1rUBmLLd0Wk1jO7mW+g9JRUC6NP10LAhTJwIu3fD77/Dm29Ci8aQDRzNhs8ySP0wg4O7TVy5ZpIxTUIIm0lAJoSo8XzcnZgX1hmdNn/yvU6rYX5YZ3zcnQq9p6gWGrnnXQqcb9kSXn8dPhjK7kmN2dDfnWRnO9xScwjekUbTf6eRsiwDPvkfXCxm1IAQQlggW5ZCiFpheFdverR0Z0NMPAmJN/Fxd2R0N1+LwRioiQCrjq3CYDIUOlfkRABA7+bJ5OBm5HTVMP+JZjxwJJ0h0cn0jUujwWUDrI2BdT7w4IMq3+yxx8DFpVy/qxCi9pGATAhRa/i4O/HygPalutY8EWBO9Jx8QVlxEwEANrs6k3NZPYkz6LTsCHZjR7AbbjdyGHAghQmHdDQ/Eq8Gn2/dCs7OEBqqgrP+/cHOruxfVAhR60hAJoSos6ydCACgz063+Hqqsx1f9HMnffxAFng/C2vXwurVcPasKgpYswa8mkKv1tCjCQQFS6sMIUQuySETQtRppmx3Mq89ws0Lj5N57RFM2e7FXl+q3LNWrWDWLDh9GqKj4bnnwM0ZLl2BL6LhpUiujX2L5CcDYevS8vw6QogaSp6QCSHqrE2xeqZHHCHHeKf9xbJdvzMvrDPDu1oOvKzKPdNo4L77oL0XUb6RbL/gzuB9KfSJS6PJxWy4mI1pywto+n0O45+Gv/xFbXEKIeoceUImhKiTEhIzCgVjAAajiRkRR0hIzLD4PnPumU6T//fZ4nLP9Af+w8xmjdh2TwNenORL3w/bMXdsc+ICHNGYgO27YcwYaNYMxo1Tvc5ycgrdRwhRe8kTMiFEnbQhJr5QMGZmMJrYEBNfZIGAtblnm/88RE6eeZipLjq+6O/OF/3d8bmSyez9OfSIQ/U6+/RTdbRooYK08HA1vkkIUavV6oBs6dKlLF26lJs3b1b1UoQQ1Ux8YvF/LySUcN7b1ZvJwZNL9Vl6nU41k7X0OU0diBjlQ49N36h8szVrYONGuHAB5s+H+fO50MaTs0N7EvDcTJoHBJfqM4UQNUut3rJ8/vnnOXHiBBEREVW9FCFENeNrYZxSXpbGLdnK2/veks9rNHD//fDRR3D5MgcWv8KOYDey7TS0OH2V3v/6Cs92XbnStyusXw8ZlrdUhRA1U60OyIQQoijmcUuWFDVuyVahncajK+KvWx1aQjuNz/eaPusaT7t+x+TJvvT7sB1vhXtxuJUjOiM03XUQnnhC5ZuNHw87doDRaPHeQoiaQwIyIUSdZMu4JVt5u3oz5/656DT5m8LqNHa80evNQrlnm4/+N3fweYqLjo0PNmbMrNYMmdeGj0KakOLVENLSYNUq1WzW3x9efRVOnCi3NQshKpfGZDJZzmqtRQ4ePEjXrl2JjY0lOFjyL4QQdyQkZpR63FJZ6dP0pSoEeOXzQXx3M6HI+wxy8GZ+i9dUvtnnn0NKyp2TXbuqQoDHHwdPz4r4GkKIUkpNTaVBgwakpKTg5uZW7LW1OqlfCCFKYs24pbIqbSGAt6Fwj7O8Whhz4IEH1LFoEfzvf2oqwHffQWysOqZNg0cfVcFZSAg4ll9OnBCi/MmWpRBCVDOhjbugK2LzQmcyEdq4y50X6teH4cPh66/h4kWS3nuTyx19VR+zb76B0aNVvtmECbBrl+SbCVFNSUAmhBDVjHf355jzZ3KhoExnMvHGn8l4d3/O4vsiU6Lp5/kFD7/sRsg7bfh4aBMuethDaiqsXAl9+6qxTv/3f/Dbb5XwTYQQpSU5ZEIIUR3FrUP/7RQ2O9dHr9PhbTAQeuMW3oM+hKDHC12uT9MzZPOg3GIAM43RRPdTN/nwYnecv/pWBWdm3bqpLc3Ro6FJk4r+RkLUOdbkkMkTMiGEqI6CnsD7uQNMDpzAgqb9mBw4Ae/nDlgMxiB/ZWZeJq2G/e2dWPnMXXD5MmzYAIMHg50dxMTA5MnQvLnKM/viC7h1q6K/mRDCAknqF0IIG5irM+MTb+JbUdWZjfzhwVmlulSv/7nk8z0dYdQodVy9qoKzNWvgl18gKkodDRrAiBEwdqxqVKuV39uFqAzyb5oQQlhpU6yevu/vZOmOs0QdvsjSHWfp9/5ONsXqq2xNJVVmFjrv6amejsXEcDlmOzF/fYgkT1fVQmPFCujdG1q3hpkz4dSpCly5EAIkIBNCCKskJGYwPeJIocHkBqOJGRFHSEismpFGVlVm5hF5JpJHT7zI+D6X6TPPl/HT/fnqAXeynR3h3Dl46y1o1w7uvReWLoXr1yvwWwhRd0lAJoQQVtgQE18oGDMzGE1siImv5BUptlRm6tP0zI6eTY4pB1D5ZjF3uTDzb83p/UEb/vzvEhg4UOWb7d8PL7wAXl7wl79ARARkZlbKdxOiLpCATAghrBCfeLPY8wklnK8wjfwZ9uACoi5eZWJyCgPTbzAxOYWoi1cJefA9lY9WwObTm3ODsYLS6xn57O4c+PZbuHABPvgAgoPBYIDISNX7rFkzeOYZ+OknqP0F+0JUKEnqF0IIK/i6F9/x3qeE8xUq6Am8/Xoy+eBqSDoPjfwgeKzFYAzUE7Li6NNvn2/aFKZMUcfx47BmDYa1q9FduAQffwwff4zB3xfd2HGqjUZAQPl+LyHqAHlCJoQQVhjdzbfQQHIznVbD6G6+lbyiAsyVmcNXqj+LCMYAi3M08513sXC+Y0ciJ9xH97eaMOEVfyLvb8iN+lp05+Jh7lxo0wZ69oT//AcSE8v2XYSoQyQgE0IIK/i4OzEvrHOhoEyn1TA/rHOFDSavCKGe3YsvBPDsXuh1c95ZtsbI/g4uvD7Rm34ftmf6M97s7eSKSauFffvg739XW5qPPQZffin5ZkKUQLYshRDCSsO7etOjpTsbYuJJSLyJT0X1Iatg3id/YM71ROZ4uGPQ3AkwdSYTb1xPxPvkD+B9b773WMo7u+mg5dv7GvLtfQ35R7ORTDjurPqbxcXBV1+po1Ej1f9s7FhVsamx/JRRiLpKAjIhhLCBj7sTLw9oX9XLKJukcwxLv0HXW7fY7OpyZ0RTWjrehhyVh1ZASXlnpxzTYOpMmDoVjh5Vgdlnn8HFi/DRR+oICIAxY9TRunVFfTshahTZshRCiLrqdn6ZtyGHyUkpLLj2J5OTUlQwBqoooACr8s46dYIFCyA+HrZuVQn/zs5w5gzMmaMCs169YNkySEoqpy8lRM0kAZkQQtRVwWNBW8RGiVanzhcQ2iYUncbye3QaHaFtQgufsLND36M9i6bcw+tfTOD7N8dwq98DaizT3r3w7LMq3ywsTLXUyMoqy7cSokaSgEwIIeqqRv4QsrhwUKbVQcgSixWa3q7ezOk5p1BQptPoeOP+Nyw+QYs8E8mQL4ew/OhyIq/+yEs+cdw3Lo3vd6+A996Dzp1VELZ5s2o627w5PP88/Pyz9DcTdYbGZKr9/99+8OBBunbtSmxsLMHBwVW9HCGEqF6SzkEpe5eZ6dP0bD69GX26Hm8Xb0LbhFoMxvRpeoZ8OcRiA1qdRkfUY1HqfYcPq3yzdevg0qU7F7Vpo7Y6x4yBli3L+EWFqFypqak0aNCAlJQU3Nzcir1WnpAJIURdZ0XvMjNvg4HJScksuHqdyUnJRQ43L24agMFkYPPpzeqHu++G99+HhAT4/nt48klwcoLTp2HWLGjVSg08X74ckpNt/KJCVF8SkAkhhLBO3DpYFAx7/gnHItSfi7uq1wso9TQAMzs7eOQRWLsWLl+GTz+Fhx5SbTL27IGnn1b5ZiNGQFQUZGeX5zcTospIQCaEEKL0ks5B5AtQ8KmX0QBfT1Ln87BpGoCZq6vqW7Z1q6rUnD8fAgNVk9lNmyAkROWbTZoEBw5Ivpmo0SQgE0IIUXoHVxcOxsyMBnU+D5uqMm/Tp+lZdHARr+x6hUVXN6N/7gk4cgQOHYIXX1QzNq9fhyVLoEcPuOsuePttOF+4f5oQ1Z0EZEIIUUkSEjN47/vfmLT+EO99/xsJiRlVvSTrFXgCVvh8/mDIlqpMyF+Z+d2571h+dDlDvxxK5NmvISgI/vUv0Ovhu+/g8cfB0RFOnoTXXwd/f+jbF1auhJQU27+rEJVIqiyFEKISbIrVMz3iCDnGO3/l6rQa5oV1ZnjX4rf1qpUf56qcsaI8ME0VBhRQ2qpM87WlqszMKzVVtc1YswZ27LizfVm/vtraDA+HAQPA3r7UX1WIspIqSyGEqEYSEjMKBWMABqOJGRFHataTMhuayYJ6UjY5eDILei9gcvDkYnPLSl2ZmZebG4wbBz/+qLYs330XOnSAW7fg889h6FBo0QL+8Q/45RfJNxPVjgRkQghRwTbExBcKxswMRhMbYuIreUVlYEMzWWtZXZlZkI8PzJgBx46p4Osf/wBPT7h2DRYtgm7doGNHFbTF16B/9qJWk+HiQghRweITbxZ7PqGE89VO0BPg19PqZrKlVZbKzNyt0TQ93q7ehLYNxXvhQjURYOtWtaX51Vfw66/w2mvwf/8Hffqoas6wMPWkTYgqIAGZEEJUMF93x2LP+5RwvloyN5OtAKFtQll1bBUGU+Fms8VVZkaeiWR29Ox8252rjq1iTs85DAsYBoMGqSMlBSIiVHC2c+ed4+9/V6ObwsNVLzSd/CdSVB7ZshRCiAo2upsvOq3G4jmdVsPobr6VvKLqzZbKTH2avlAwBirnbE70nPzboA0awPjxKvn/3DnVKqN9e5VvtmEDDB4M3t6qtcbBg5JvJiqFBGRCCFHBfNydmBfWuVBQptNqmB/WGR93pypaWSVKOqcqNDeNV3+W0D5jWMAwoh6LYmKniQxsOZCJnSYS9VgUIa1DLF5vUyEAgJ+f2ro8cQJiYlSTWQ8PuHIFFi6Erl2hUyfVlFZfQu6aEGUgbS+EEKKSJCRmsCEmnoTEm/i4OzK6m2/dCMbi1hXu7q/VqeKAoCfK5SNe2fUK3537rsjzA1sOZEHvBaW7WXa2mqe5Zg1ERqrJAKDGN/Xrp7Y0w8LUJAEhimFN2wvZIBdCiEri4+7EywPaV/UyKldJo5b8epZLMUCZRjQVZG8PQ4aoIzlZjWlaswZ274bt29Xx97/DY4+p4OyhhyTfTJRZjd6yvHnzJgEBAbi4uFT1UoQQQlhi5aglW5XbiKaDi/LnmzVsCBMmwK5d8Mcf8Oab0LYt3LwJ69bBwIGqzca0aRAXJ/lmwmY1OiCbNWsWfn5+Vb0MIYQQRbFy1JKtyn1E05nIwhf7+6vRTL/9Bvv3wwsvQOPGcPmyGuXUpQt07qxabFy4UC7fS9QdNTYgi42NZcuWLUyfPr2qlyKEEKIoJW1HNiq/X6qtLQSwqjIzL40GuneHxYvh4kWVZzZ8ONSrp5rRvvKKemr28MNqqzM9vdy+o6i9bArI3n33XUaMGEGrVq3QaDT4+/sXea3RaOSDDz6gffv21K9fHx8fH6ZNm8aNGzdsXTMGg4GJEyeydOlS6tWrZ/N9hBBCVDAbRy3ZqsJHNBVUr56alfnFF+pJ2bJl0KuX2rrctk01nG3aVOWa/fAD5BSxfSvqPJsCstdee43t27fTunVrGjVqVOy1L774IlOnTqVDhw4sXryYESNGsGjRIoYOHYrRaMx37ejRo9FoNEUeO3fuBOC9996jS5cu9O7d25blCyGEqCyVMGrJVmUe0VRQo0bw9NOwZw+cPQtvvAEBAZCRAWvXquHmvr7w8stw5EgZVi5qI5vKQs6ePUurVq0ACAwMJL2Ix7HHjx9n8eLFhIaGEhERkft6y5YtmTx5Mhs2bOCJJ+6UPC9fvpwlS5YU+bkNGjTgzJkzfPTRRxw6dMiWpQshhKhsFTxqyVblWplZUKtWMGsWzJyp8s3WrFFNZy9ehPffV8fdd6snZ088AV5etn+WqBVsekJmDsZKsn79ekwmE1OmTMn3+sSJE3FycmLt2rX5Xnd1dcXDw6PIw97enp9++okrV67Qtm1bPDw8GDZsGDdu3MDDw4Pdu3fb8nWEEEJUNPOopeEr1Z9VHIxB2SozS02jgXvvhaVL4dIl+PJLCA1VW52HD8NLL6mpAAMGqKdoZUjnETVbhSb1x8TEoNVq6d69e77X69evT1BQEDExMVbfc+TIkZw5c4a4uDji4uJYsWIFTk5OxMXF0aNHj/JauhBCiFrO1spMm9Wrp2ZlRkSo4Ow//4GePcFoVPll4eEq3+ypp1T+meSb1SkV2snu4sWLeHh44ODgUOhcixYtiI6OJisry6rEfCcnJ5yc7nS2btKkCRqNBm/vkv/FSU9PJzU1NfdnBwcHi2sTQghRNwwLGEbXpl3ZfHoz+nQ93i7ehLYJLVUwpk/Tq/el6fF2Lf37AHB3h2efVcfZs+rp2OrV8Pvv6s/Vq6FFC3jySRWoBQaW8ZuK6q7Mo5PMOWTnzp0rdK5169ZkZ2cTHx9f6NzYsWNZs2YNSUlJNGzYsCxLKJF5dFJBs2fPZs6cORX62UIIIWqfyDORhVpm6DQ65vScw7CAYbbd1GSCfftUvtnGjZCUdOdcUJCq2Hz8cWjWrIyrF5Wl2oxOcnJy4urVqxbP3bp1K/eayrJr1y6CgoJyf5anY0KI6sw8+zI+8Sa+dWn2pVnSuduFAOdUzlk1KASAkvuXdW3a1bbtTo1GbWH27KkGm3/zjQrOvvlGTQGIi1M5Z488ooKzYcOgEv8bKipWhQZkzZs358SJE2RmZhYKfi5cuICHh0el9hFzcXEpMUIVQojqYFOsnukRR8gx3tnEWLbrd+aFdWZ413LObaqOLA0k3/thuQ4kt1Vp+pdNDp5ctg9xcFDJ/6Gh8Oef8Pnnahvz559hyxZ1uLqqIefh4dC3L2hrbK93QQUn9Xfr1g2j0ciBAwfyvX7r1i3i4uK45557KvLjhRCiRkpIzCgUjAEYjCZmRBwhITGjilZWSUoaSF7SOKYKVu79y0rSuDE895zazjx1SrXTaNkS0tLgk0/gwQfVWKdXX4UTJ8r3s0WlqdCAbNSoUWg0GhYuXJjv9eXLl5ORkcGTTz5ZkR8vhBA10oaY+ELBmJnBaGJDTOG83FqlkgaS26pC+5eVpE0b1XD27FnVgPbpp9UA9IQEmDcPOnaErl3hww+hiJQhUT3ZtGW5Zs0azp9XA2GvXbtGVlYWb731FgB+fn6Eh4cD0KlTJ55//nmWLFlCaGgogwYN4tdff2XRokX06dMnX1NYIYQQSnzizWLPJ5RwvsarpIHktgptE8qqY6swmAyFzpVb/7KSaDRqRFOvXir4+t//VL7Zt9/CwYPqmDZN9TcLD1f5Zo6OFb8uYTObArKVK1eya9eufK/NnDkTgD59+uQGZAALFy7E39+fjz/+mG+++QYPDw8mTZrE3Llz0cp+txBCFOLrXvx/OH1KOF/jVeJAcluY+5fNiZ6TLyirsP5lJalfXw03Hz4crl9XFZpr1qgJAd9+qw43N3U+PBx695Z8s2qozG0vagJz24vY2FiCg4OrejlCCFGshMQM+r2/E4OFbUudVsOOl/rW7mrLpHOwuKvanixIq4NJsdWm2tLa/mVl6l1mrZMnVX+ztWshb2sqX18YM0YFZ+3bV8xnC8C6thcSkAkhRDW0KVbPjIgj+YIynVbD/LDOhNWVKsuvJ+UPyswDyYMer7p1lUGF9C4rDaMRfvpJPTX74gtISblz7p57VGA2ejR4elbcGuooCcgKkIBMCFETmfuQJSTexKdO9yGrPgPJbaVP0zPkyyEW22XoNDqiHouqnK3OW7cgKkq10NiyBQy3A147Oxg4UAVnQ4dKvlk5kYCsAAnIhBBCVKVFBxex/OjyIs9P7DSx7L3LrHXtGmzYoJ6c5Z0t7eYGI0eq4KxXL8k3KwNrAjL5pyyEEEJUsErvXVYaTZrApElw4AD8+iu89prKL0tNhRUroE8faNUKXn9d5aOJCiUBmRBCCFHBqrR3WWm0bw9vvw1//AE7d8Lf/qaelJ0/r15v3x569IAlS1Qlpyh3EpAJIYQQFSy0TSg6jeVOU5XWu6w0tFr1ZGzFCrh8WW1pDh6scswOHFBP1Ly8ICQENm1SOWmiXEhAiXklHwAAIABJREFUJoQQQlQwc++ygkFZlfUuKw1HRxg1SjWdvXBBDTzv2lUVAkRFwYgR0KyZmhawZw/U/pT0CiVJ/UIIIUQlsbZ3WaX2LSutEydUIcBnn6mRTWYtW97pb9amTdWtrxqRKssCJCATQghR01RZ37LSMhph1647/c3S0++cu/deFZiNGqWGo9dRUmUphBCibko6Bz/OhU3j1Z8lzcWspvRp+kLBGIDBZGBO9JwSqzYrhVYL/frBf/8LV67AunWql5mdHfz8Mzz/vMo3e+wx2LwZMjOresXVmgRkQgghaoe4dbAoGPb8E45FqD8Xd1Wv1zCbT2+22EQWVFC2+fTmSl5RCZyc4PHH1dzMCxfggw+gSxfIzoavvoKwMBWcPfssREdLvpkFEpAJIYSo+ZLOQeQLUDCIMRrUCKYa9qSsWvYtK62mTWHKFDh4EI4dg+nToUULSEqCZcvg/vtVjtmcOXD2bFWvttqQgEwIIUTNd3B14WDMzGhQ52uQat+3rLQ6doR581Q/s23b4KmnwMVFBWJvvAEBASpA++gjSEys6tVWKQnIhBBC1HwlPQFLOl8pyygvNaZvWWnZ2cGDD8Inn6j+ZmvXwoABKg8tOhqee05taYaFqS3OrKyqXnGlk4BMCCFEzVfS0PFGfpWyjPJSI/uWlZazMzz5pBpurtfD++/D3XerIGzzZlUE4OUFf/877NtXZ/LNpO2FEEKImi/pnErgNxoKn9PqYFJsyUFbNWRt37Ia7ciRO/3NLl2683pAgGqhMWaMmq1Zg0gfsgIkIBNC1BUJiRlsiIknPvEmvu6OjO7mi4+7U1Uvq3LErVMJ/HmDMq0OQpZA0ONVty5hnZwc2L4dVq9WT8wyMu6cu/9+GDtWTQlo1Kjq1lhKEpAVIAGZEKIu2BSrZ3rEEXKMd/5a12k1zAvrzPCutfSpSkFJ51QCf9J5tU0ZPLZGPhkTt6Wnw5dfqidn27bd2b6sVw+GDlVPzgYOVD9XQxKQFSABmRCitktIzKDv+zvzBWNmOq2GHS/1rTtPyuqwajlqqbxcuKCaz65erdppmDVurCYCjB0L3buDRlN1ayxAOvULIUQdsyEm3mIwBmAwmtgQE1/JKxKVLfJMJEO+HMLyo8v57tx3LD+6nKFfDiXyTGRVL618tGgBL7+scs0OHYKpU9Vw8z//hH//W41rat8e3noLzp2r6tVaTQIyIYSoBeITbxZ7PqGE86JmqxGjlsqLRgNBQfDPf6rh5lu2wBNPgKMjnDoFM2eqQee9e8OKFZCcXNUrLhUJyIQQohbwdXcs9rxPCedFzVbjRi2VF51O9TP77DM1T/OTT6B/fxW07dkDEyeqp2gjR0JUlBrlVE1JQCaEELXA6G6+6LSWc2d0Wg2ju/lW8opEZarRo5bKi6urmgTw448QH68mBHTsqIaaf/EFhISobc/JkyEmptr1N5OATAghagEfdyfmhXUuFJTptBrmh3WWhP5artaMWiov3t5qhubRo2qm5pQp4OkJ167B4sUq+f+uu+Dtt9VYp2pAqiyFEKIWMfchS0i8yf+3d+/BUZX3H8c/uy4QwiaYdCkObC7EYCkqzSSgM3gJHe3P0d9A7CJCsTqOLU5HMQJO1aEjLJSCVGeEBP6o+BssoDKMiRO1HW9VYpU/zIARFayBmsuKrdAESNhc3Oz5/bFNJG4u7pI9Z5Pzfs3srDnP2T3f9XkcP3POc56TZbd1yGws0BrQ/JfmK2REL4zrcrj0ys9fGT13W8YrFJLefDOyhMZLL0kdHd+2FRdHltC47TZp4sRhOyTLXnwHgQwAMNpVHauS/4C/TyjredTSgksXWFhZEjp7VqqoiISz/fu/vXyZkiKVlETC2f/8jzRmzAUehkDWB4EMAGAHtnrU0nBpaorcFLBrl3T06LfbJ02SfvGLyPpmhYVxrW9GIPsOAhkAABiUYUTmm+3eHVmA9uTJb9vWrJHWrYv5K1kYFgAAIBYOh1RUJG3ZEnkqwKuvRp4AkJ4uORMfl1wJPwIAAMBIMmaM9L//G3mZhEAGALC33geS10ceRM4DyWEBAhkAwL5qn5eqlkvnr3L//lZpQblUsNS6umA7BDIAgD211EeHMUkKh6SXH5By5triTFnvnZmtAXnTuDPTKgQyAIA9HdoVHcZ6hEOR9hvWmFuTyaqOVUU9lHznJzvln+tXSX6JhZXZD3dZAgDsqaV+iPbkeKROogRaA1FhTIo8jNx/wD/k8zExvAhkAAB7GupyZEaOKWVYpbKuMiqM9QgZIVXWVZpckb0RyAAA9lR4l+QcYOaO0xVpH8WGOgMWaOMMmZkIZAAAe8rIjdxN+d1Q5nRJC7aN+gn9Q03c97qZ2G8mJvUDAOyrYGnkbspDuyJzxjJybLMOmW+6Tzs/2dnnYeQ9XA6XfNN9FlRlX6M6kG3fvl3bt29Xe3u71aUAAJJVRu6ov5uyP940r/xz/fIf8PcJZS6HS+uuWcfSFybj4eIAANhY7zpkbQF53axDNpxiebj4qD5DBgAABudN86q0sNTqMmyPSf0AAAAWI5ABAABYjEAGAABgMQIZAACAxQhkAAAAFuMuSwAAEJPepTJaA/KmsVTGcCCQAQCA763qWJXWHljb58HkOz/ZKf9cv0rySyysbGQjkAGAzTU1B7W3plGNze3KzhyvJXOylZWZanVZSEKB1kBUGJOkkBGS/4BfRZOLOFMWJwIZANjYiwcDeqTisLrD3z605U/V/9TjC2fptiL+x4q+Kusqo8JYj5ARUmVdJYvMxolJ/QBgU03NwagwJkmhsKFHKw6rqTloUWVIVoHWwODtbYO3Y2AEMgCwqb01jVFhrEcobGhvTaPJFSHZDXU50uvmrGq8CGQAYFONze2DtjcN0Q778U33yeXof7aTy+GSb7rP5IpGDwIZANhUdub4Qduzhmi3vZZ66W/rpRfviby31FtdUcJ507zyz/VHhTKXw6V116xjQv8FYFI/ANjUkjnZ+lP1PxXq57Kly+nQkjnZFlQ1QtQ+L1Utl86f4P7+VmlBuVSw1Lq6TFCSX6KiyUWRdcjaAvK6WYdsOBDIAMCmsjJT9fjCWXq04nCfUOZyOrR54SyWvhhIS310GJOkcEh6+QEpZ66UkWtFZabxpnm5m3KYEcgAwMZuK/Lq6mmZ2lvTqKbmdmWxDtnQDu2KDmM9wqFI+w1rzK0JIx6BDABsLiszVb+9aYbVZYwcQ80Va2kwpQyMLkzqBwAgFkNdjszIMaUMjC4EMgAAYlF4l+Qc4AKT0xVpB2JEIAMAIBYZuZG7Kb8bypwuacG2UT+hH4nBHDIAAGJVsDRyN+WhXZE5Yxk5kTNjhDHEiUAGAEA8MnK5mxLDhkuWAAAAFiOQAQAAWIxABgAAYDECGQAAgMUIZAAAABYjkAEAAFiMQAYAAGAx1iEDAAAJF2gNqLKuUoHWgLxpXvmm++RN81pdVtIgkAEAgISqOlaltQfWqtvo7t2285Od8s/1qyS/xMLKkgeXLAEAQMIEWgNRYUySQkZI/gN+BVoDFlWWXAhkAAAgYSrrKqPCWI+QEVJlXaXJFSUnAhkAAEiYoc6ABdo4QyYRyAAAQAINNXHf62ZivzSCA9lf/vIXFRYWasKECbrkkkv0xBNPWF0SAAD4Dt90n1yO/u8hdDlc8k33mVxRchqRgeyNN97QvffeqyeeeEJnzpzR559/rptvvtnqsgAAwHd407zyz/VHhTKXw6V116xj6Yv/GpHLXjz22GN67LHHdMMNN0iS0tPTdcUVV1hcFQAA6E9JfomKJhdF1iFrC8jrZh2y74rrDNmmTZu0aNEi5eXlyeFwKDc3d8B9w+GwnnrqKc2YMUMpKSnKysrSQw89pHPnzsVV8Llz51RTU6N//etfmjFjhiZPnqwFCxboiy++iOv7AABA4nnTvCotLNUfr/+jSgtLCWPfEVcgW716td5++21deumlysjIGHTflStXatWqVZo5c6bKy8u1aNEilZWVaf78+QqHw332XbJkiRwOx4Cv/fv3q6WlRYZhqKKiQq+99pq++OILXXLJJfL5fDIMI56fAwAAYKm4LlkeP35ceXl5kqQrrrhCbW1t/e736aefqry8XD6fTxUVFb3bp02bptLSUu3du1dLly7t3b5jxw5t27ZtwONOnDhRwWBQkvTggw/2npnbuHGjJk2apKamJmVnZ8fzkwAAMWhqDmpvTaMam9uVnTleS+ZkKysz1eqygBErrkDWE8aG8sILL8gwDK1YsaLP9mXLlunRRx/Vnj17+gSytLQ0paWlDfqdEydOVE5OjhwOR+yFAwAu2IsHA3qk4rC6w99elfhT9T/1+MJZuq2Iy1BAPBJ6l2VNTY2cTqeuuuqqPttTUlJUUFCgmpqauL73N7/5jbZu3aqmpiZ1dHToscceU1FREWfHACDBmpqDUWFMkkJhQ49WHFZTc9CiyoCRLaF3WZ44cUIej0fjxo2Laps6daoOHDigrq4ujR07Nqbvffjhh9XS0qLCwkKFw2Fde+21qqwc+tELbW1tOnv2bO/f48aN67c2AED/9tY0RoWxHqGwob01jfrtTTNMrmoEaamXDu2KvGfkSoV3Rd5hewkNZMFgcMDAk5KS0rtPrIHM6XRq8+bN2rx5c0yfKy4u7vP32rVr5ff7Y/oOALCzxub2Qdubhmi3tdrnparl0vnPdXx/q7SgXCpYOvDnYAsJDWSpqan6+uuv+23r6Ojo3ccs1dXVKigo6P2bs2MAEJvszPGDtmcN0W5bLfXRYUySwiHp5QeknLmcKbO5hM4hmzJlik6dOqXOzs6oti+//FIejyfms2MXwu12Kz09vfdFIAOA2CyZky2Xs/+bqlxOh5bMYS5vvw7tig5jPcKhSDtsLaGBbM6cOQqHw/rggw/6bO/o6FBtba1mz56dyMMDAIZZVmaqHl84KyqUuZwObV44i6UvBtJSP0R7gyllIHkl9JLl4sWLtXHjRm3ZskXXXXdd7/YdO3YoGAzqjjvuSOThAQAJcFuRV1dPy9TemkY1Nbcri3XIhjbU5ciMHFPKQPKKK5Dt3r1bDQ2RNH/y5El1dXVpw4YNkqScnBzdeeedkqQrr7xS999/v7Zt2yafz6dbbrlFR48eVVlZmYqLi/usQQYAGDmyMlO5mzIWhXdFJvCHQ9FtTlekHbbmMOJ43tC8efNUXV3db1txcbH279/f+3d3d7e2bNmip59+WvX19fJ4PFq8eLHWr18vt9sdd+GxOHTokIqKinTw4EEVFhaackwAAPqofT4ygf/8UOZ0SQu2SQW/sK4uJMzZs2c1ceJEnTlzRunp6YPuG1cgG2kIZACApNC7DllD5DIl65CNarEEsoTOIQMAAOfJyJVuWGN1FUhCCb3LEgAAAEPjDBkAAEhKgdaAKusqFWgNyJvmlW+6T9600fkAewIZAABIOlXHqrT2wFp1n7eg7s5Pdso/16+S/BILK0sMLlkCAICkEmgNRIUxSQoZIfkP+BVoDVhUWeIQyAAAQFKprKuMCmM9QkZIlXWVJleUeAQyAACQVIY6AxZo4wwZAABAQg01cd/rHn0T+wlkAAAgqfim++Ry9H/focvhkm+6z+SKEo9ABgAAkoo3zSv/XH9UKHM5XFp3zbpRufQFy14AAICkU5JfoqLJRZF1yNoC8rpZhwwAAMB03jSvSgtLrS7DFFyyBAAAsBiBDAAAwGIEMgAAAIsRyAAAACxGIAMAALAYgQwAAMBiBDIAAACLEcgAAAAsRiADAACwGIEMAADAYgQyAAAAixHIAAAALEYgAwAAsBiBDAAAwGIEMgAAAIsRyAAAACzmsroAAACA4RJoDaiyrlKB1oC8aV75pvvkTfNaXdaQCGQAACSrlnrp0K7Ie0auVHhX5B39qjpWpbUH1qrb6O7dtvOTnfLP9askv8TCyoZGIAMAIBnVPi9VLZfOCxd6f6u0oFwqWGpdXUkq0BqICmOSFDJC8h/wq2hyUVKfKWMOGQAAyaalPjqMSVI4JL38QKQdfVTWVUaFsR4hI6TKukqTK4oNgQwAgGRzaFd0GOsRDkXa0UegNTB4e9vg7VYjkAEAkGyGOgPW0mBKGSPJUJcjve7kvVwpEcgAAEg+Q03cz8gxpYyRxDfdJ5ej/6nxLodLvuk+kyuKDYEMAIBkU3iX5BzgvjunK9KOPrxpXvnn+qNCmcvh0rpr1iX1hH6JuywBAEg+GbmRuylffiAyZ6yH0yUt2MbSFwMoyS9R0eSiyDpkbQF53axDBgAALkTBUiln7n/XIWuIXKZkHbIhedO8Ki0stbqMmI3qQLZ9+3Zt375d7e3tVpcCAEDsMnKlG9ZYXQVMMKrnkN1///06cuSIKioqrC4FAABgQKM6kAEAAIwEBDIAAACLEcgAAAAsRiADAACwGIEMAADAYgQyAAAAixHIAAAALDaqF4YFACSHpuag9tY0qrG5XdmZ47VkTrayMlOtLgtIGgQyAEBCvXgwoEcqDqs7bPRu+1P1P/X4wlm6rSj5nzEImIFLlgCAhGlqDkaFMUkKhQ09WnFYTc1BiyoDkguBDACQMHtrGqPCWI9Q2NDemkaTKwKSE4EMAJAwjc3tg7Y3DdEO2AWBDACQMNmZ4wdtzxqiHbALAhkAIGGWzMmWy+not83ldGjJnGyTKwKSE4EMAJAwWZmpenzhrKhQ5nI6tHnhLJa+AP6LZS8AAAl1W5FXV0/L1N6aRjU1tyuLdciAKAQyAEDCZWWm6rc3zbC6DCBpcckSAADAYgQyAAAAixHIAAAALEYgAwAAsBiBDAAAwGIEMgAAAIsRyAAAACxGIAMAALAYgQwAAMBiBDIAAACLEcgAAAAsRiADAACwGIEMAADAYgQyAAAAixHIAAAALEYgAwAAsBiBDAAAwGIEMgAAAIsRyAAAACw2IgPZV199pYULF8rj8egHP/iBbr31VgUCAavLAgAAiMuIDGT33Xefurq69MUXX6ipqUkTJkzQPffcY3VZAAAAcRmRgez48eNatGiR0tLSlJqaqqVLl+rw4cNWlwUAABCXuALZpk2btGjRIuXl5cnhcCg3N3fAfcPhsJ566inNmDFDKSkpysrK0kMPPaRz587FW7NWrVqlF198UadPn1Zra6t2796t+fPnx/19AAAAVoorkK1evVpvv/22Lr30UmVkZAy678qVK7Vq1SrNnDlT5eXlWrRokcrKyjR//nyFw+E++y5ZskQOh2PA1/79+yVJ1157rU6fPq3MzExdfPHF+sc//qGNGzfG81MAAAAs54rnQ8ePH1deXp4k6YorrlBbW1u/+3366acqLy+Xz+dTRUVF7/Zp06aptLRUe/fu1dKlS3u379ixQ9u2bRvwuBMnTlQ4HNaNN94on8+nv/71r7rooov0xz/+UfPmzVNtba3GjBkTz08CAACwTFxnyHrC2FBeeOEFGYahFStW9Nm+bNkypaamas+ePX22p6WlyePxDPgaM2aMmpub1dDQoNLSUrndbo0fP16rVq3SkSNHdPz48Xh+DgAAgKUSOqm/pqZGTqdTV111VZ/tKSkpKigoUE1NTczf6fF4lJ+fr+3bt6u9vV1dXV3aunWrMjIyBp3LBgAAkKwSGshOnDghj8ejcePGRbVNnTpVp06dUldXV8zfW1VVpY8//lher1eTJ0/W66+/rldffVUpKSmDfq6trU1nz57tfXV2dsZ8bAAAgOEW1xyy7ysYDPYbxiT1hqdgMKixY8fG9L0zZ87Ua6+9FnM9xcXFff5eu3at/H5/zN8DAAAwnBIayFJTU/X111/329bR0dG7j1mqq6tVUFDQ+/dAYREAAMBMCQ1kU6ZM0ZEjR9TZ2RkVfr788kt5PJ6Yz45dCLfbrfT0dNOOBwAA8H0kdA7ZnDlzFA6H9cEHH/TZ3tHRodraWs2ePTuRhwcAABgREhrIFi9eLIfDoS1btvTZvmPHDgWDQd1xxx2JPDwAAMCIENcly927d6uhoUGSdPLkSXV1dWnDhg2SpJycHN15552SpCuvvFL333+/tm3bJp/Pp1tuuUVHjx5VWVmZiouL+ywKCwAAYFcOwzCMWD80b948VVdX99tWXFzc+4gjSeru7taWLVv09NNPq76+Xh6PR4sXL9b69evldrvjLjwWhw4dUlFRkQ4ePKjCwkJTjgkAAOzt7Nmzmjhxos6cOTPkHPa4AtlIQyADAABmiyWQJXQOGQAAAIaW0GUvAABAkmuplw7tirxn5EqFd0XeYSoCGQAAdlX7vFS1XDK6v932/lZpQblUwI13ZuKSJQAAdtRSHx3GJCkckl5+INIO0xDIAACwo0O7osNYj3Ao0g7TEMgAALCjoc6AtTSYUgYiCGQAANjRUBP3M3JMKQMRBDIAAOyo8C7JOcC9fU5XpB2mIZABAGBHGbmRuym/G8qcLmnBNpa+MBnLXgAAYFcFS6Wcuf9dh6whcpmSdcgswRmyIXR2dsrv96uzs9PqUmARxoC90f/2Zov+z8iVblgj3fZ/kXfCWB9mjQGeZTmEWJ5DhdGJMWBv9L+90f+4kDHAsywBAABGEAIZAACAxWwxqb+9vV2SdPTo0Zg/29bWJkmqra2V2+0e1rowMjAG7I3+tzf6HxcyBno+GwwGh7xkaYs5ZM8995x++ctfWl0GAACwoerqal1//fWD7mOLQHbq1Cm9/vrrys3N1fjx460uBwAA2IBhGDp37pyKioo0YcKEQfe1RSADAABIZkzqBwAAsBiBbJiEQiE9+OCDyszM1MUXX6xf/epX6ujosLosmGjfvn269tpr5Xa7lZuba3U5MFFnZ6eWLVumvLw8paWl6bLLLlN5ebnVZcFE9913n7KyspSenq6pU6dqxYoV6urqsrosWKC9vV35+fkx3wBAIBsmGzdu1DvvvKOPP/5YdXV1OnLkiB5++GGry4KJMjIytHz5cv3hD3+wuhSYLBQK6ZJLLtEbb7yhM2fOaN++fdqwYYP27dtndWkwyfLly/XZZ5/p7Nmz+uijj/TRRx9p48aNVpcFC6xZs0Y5OTkxf45ANkyeeeYZrV69WlOnTtWkSZPk9/v17LPPqru72+rSYJKf/exnWrJkSVz/IWJkmzBhgn7/+98rPz9fTqdTBQUFWrBggd577z2rS4NJZs6c2Ttp2zAMOZ1O1dXVWVwVzHbw4EG99tpreuSRR2L+rO0C2aZNm7Ro0SLl5eXJ4XAMemkpHA7rqaee0owZM5SSkqKsrCw99NBDOnfuXJ/9Tp8+raamJhUUFPRuKywsVGtrq+rr6xP0SxCvRIwBjBxm9P8333yjv//975o1a9YwV48Llcj+f/zxx+V2u/XDH/5QH330kVasWJGgX4ELkagxEAqFtGzZMm3fvl1jx46NvTDDZiQZmZmZxo033mhkZGQYOTk5A+5bWlpqSDJ+/vOfG08//bSxcuVKw+VyGT/96U+N7u7u3v0aGxsNScZXX33Vu62rq8uQZHz44YeJ/DmIQyLGwPleeumlQb8T1kp0/xuGYdx7773G7Nmzjc7OzgT8AlwIM/r/yJEjxu9+9zujqakpAb8AFypRY2Djxo3GPffcYxiGYbzzzjvGhAkTYqsr5l8ywh0/frz3ny+//PIBO+KTTz4xHA6H4fP5+mwvKyszJBnPPfdc77aWlhZDkvHZZ5/1bvv6668NScaxY8eG9wfggiViDJyPQJbcEt3/K1euNK688krj5MmTw1Yzhk+i+7/Hvn37jHnz5l1wvRh+iRgDdXV1RnZ2tvGf//zHMIz4ApntLlnm5eV9r/1eeOEFGYYRdcp52bJlSk1N1Z49e3q3XXzxxcrKylJtbW3vtg8//FBpaWncbZeEEjEGMHIksv9XrFihN998U3/729/k8XiGpV4ML7P++//mm2/0+eefx10nEicRY+C9997Tv//9b1122WXyeDwqKSnRuXPn5PF49O67736v49kukH1fNTU1cjqduuqqq/psT0lJUUFBgWpqavps//Wvf61NmzbpxIkTOnnypPx+v+6++25ddNFFZpaNYRTrGOju7lZHR4e++eYbGYahjo4OdXZ2mlkyhlGs/V9aWqq33npLb7/9tiZNmmRmqUiAWPr/zJkzevbZZ3X69GkZhqHDhw9rw4YNuummm8wuG8MoljFw++2369ixY6qtrVVtba2eeeYZpaamqra2VldfffX3Oh6BbAAnTpyQx+PRuHHjotqmTp2qU6dO9VljZvXq1br++ut1+eWXKz8/Xz/+8Y+1efNmM0vGMIt1DOzevVvjx4/X7bffrsbGRo0fP14/+tGPzCwZwyiW/m9oaFB5ebmOHTumadOmye12y+126+abbza7bAyTWPrf4XBoz549vevQ3XrrrbrllltYi26Ei2UMpKamyuv19r4mTZokh8Mhr9fb7+f74xrW6keRYDA44L/ElJSU3n167qRwuVwqKytTWVmZaTUisWIdA3fffbfuvvtus8pDgsXS/zk5OTJ4Ct2oEkv/p6en66233jKzPJgg1v8HnG/evHlqa2uL6XicIRtAamrqgJebelbgT01NNbMkmIwxYG/0v73R/zB7DBDIBjBlyhSdOnWq38748ssv5fF44ltnBCMGY8De6H97o/9h9hggkA1gzpw5CofD+uCDD/ps7+joUG1trWbPnm1RZTALY8De6H97o/9h9hggkA1g8eLFcjgc2rJlS5/tO3bsUDAY1B133GFRZTALY8De6H97o/9h9hi4yO/3+4f1G5Pc7t279corr+jdd9/VO++8o2AwqFAopHfffVcNDQ36yU9+IkmaPHmyTp06pT//+c86fPiwWltb9dxzz2n9+vW67rrr9OSTT8rhcFj8axAPxoC90f/2Rv8jacdATMvIjgLFxcWGpH5fxcXFffYNhULGk08+aVx22WXG2LFjjSlTphgrV640WltbrSkew4IxYG/0v73R/0jWMeAwDO7VBgAAsBLC6PP5AAAAXklEQVRzyAAAACxGIAMAALAYgQwAAMBiBDIAAACLEcgAAAAsRiADAACwGIEMAADAYgQyAAAAixHIAAAALEYgAwAAsBiBDAAAwGIEMgAAAIsRyAAAACxGIAMAALDY/wOAu6CGI+J6TAAAAABJRU5ErkJggg==",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"all_sims = BSON.load(\"/home/abdullae/Julia_wd/sim_UCM_all.bson\")\n",
"#all_sims[:ucm_005] = out_sim # this line is needed for a good picture (run once more the simulation)!\n",
"\n",
"p = plot() # legendfontsize=10\n",
"\n",
"alphas = [1.005, 1.01, 1.05]\n",
"colors = [1, 2, 3]\n",
"\n",
"for (i, k) in enumerate([:ucm_005, :ucm_01, :ucm_05])\n",
" p = plot_4_supplementary(p, all_sims[k], alphas[i], colors[i], L\"$\\delta=$\"; lev=3)\n",
"end\n",
"\n",
"x = range(2, 10000, length=10); y = 0.17*x.^(-1)\n",
"p = plot!(x, y, grid=false, color=:red, label=L\"$\\alpha=\\!-1$\")\n",
"\n",
"gui(p)\n",
"#savefig(\"./pics/cc_sup_mod1_deltavalues.pdf\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"using Histograms\n",
"\n",
"counts = reduce(vcat, out_sim)\n",
"h = Histograms.Histogram(counts, N=30, scale=:identity);\n",
"nd_p = plot(h, xscale=:identity, yscale=:log10, markershape=:circle, legend=false, grid=false,\n",
" line=false, markersize=6, xtickfont=Plots.font(13), ytickfont=Plots.font(13))\n",
"\n",
"n_deg = map(x -> length(neighbors(sd_net, x)), collect(vertices(sd_net)))\n",
"h = Histograms.Histogram(n_deg, N=20, scale=:identity);\n",
"nd_p = plot!(h, xscale=:identity, yscale=:log10, markershape=:circle, line=false, markersize=6)\n",
"\n",
"gui(nd_p)\n",
"#savefig(\"./pics/node_degree_real_mod2.pdf\")"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"using Histograms\n",
"\n",
"out_filt = filter(x -> 0 < sort(x)[end], out_sim)\n",
"counts = reduce(vcat, out_filt)\n",
"counts = convert(Array{UInt,1}, counts)\n",
"h = Histograms.Histogram(counts[counts .> 2], scale=:log)\n",
"p = plot(h, xscale=:log10, yscale=:log10, markershape=:circle, line=false, legend=false, grid=false,\n",
" markersize=6, xtickfont=Plots.font(13), ytickfont=Plots.font(13))\n",
"\n",
"h = Histograms.Histogram(convert(Array{UInt,1}, cc_len[cc_len .> 2]), scale=:log)\n",
"p = plot!(h, xscale=:log10, yscale=:log10, markershape=:circle, line=false, markersize=6)\n",
"\n",
"x = range(3, 3400, length=10); y = 8.0*x.^(-2.7);\n",
"p = plot!(x, y, grid=false, color=4)\n",
"gui(p)\n",
"\n",
"#savefig(\"./pics/connected_real_mod2.pdf\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"using StatsBase, Histograms, LaTeXStrings, BSON\n",
"\n",
"sims = [sims_dict[\"sim_1\"], sims_dict[\"sim_2\"], sims_dict[\"sim_3\"], sims_dict[\"sim_4\"]]\n",
"#sims = [sim_1l, sim_2l, sim_3l, sim_4l]\n",
"colors = [1, 3, 4, 5]\n",
"legends = [L\"$\\delta = 0.005$\", L\"$\\delta = 0.001$\", L\"$\\delta = 0.0005$\", \n",
" L\"$\\delta = 0.0001$\", L\"$\\alpha = -2.7$\"]\n",
"\n",
"x = range(2, 1800, length=10); y = 4.0*x.^(-2.7);\n",
"p = plot(x, y, grid=false, color=2, label=legends[5])\n",
"#x = range(2, 20000, length=10); y = 0.1*x.^(-1.5);\n",
"#p = plot!(x, y, grid=false, color=2, label=legends[5])\n",
"\n",
"for i in 1:4\n",
" counts = reduce(vcat, sims[i])\n",
" counts = convert(Array{UInt,1}, counts)\n",
" h = Histograms.Histogram(counts, scale=:log)\n",
" p = plot!(h, xscale=:log10, yscale=:log10, markershape=:circle, line=false, label=legends[i],\n",
" markersize=6, xtickfont=Plots.font(13), ytickfont=Plots.font(13), color=colors[i])\n",
"end\n",
"\n",
"gui(p)\n",
"\n",
"#savefig(\"./pics/cc_mod2_long.pdf\")\n",
"#sims_mod2 = Dict(\"sim_1\"=>sims[1], \"sim_2\"=>sims[2], \"sim_3\"=>sims[3], \"sim_4\"=>sims[4])\n",
"#bson(\"mod2_cc_long.bson\", sims = sims_mod2)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"0.214"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"using BSON\n",
"\n",
"sims = BSON.load(\"out_sims_correct_params.bson\")[:out_sim]\n",
"\n",
"big_comp = map(x -> maximum(x), sims)\n",
"p = histogram(big_comp)\n",
"p = plot!([maximum(real_lens)], [50], legend=false, markershape=:auto, markersize=4, \n",
" xtickfont=Plots.font(13), ytickfont=Plots.font(13))\n",
"savefig(\"./pics/hist_BC_sim_real.pdf\")\n",
"gui(p)\n",
"\n",
"length(big_comp[big_comp .> maximum(real_lens)])/length(big_comp)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"501×501 Array{Float64,2}:\n",
" 0.0 0.133843 0.106997 … 0.133347 0.148274 0.174336\n",
" 0.133843 0.0 0.0541509 0.0584752 0.258709 0.314896\n",
" 0.106997 0.0541509 0.0 0.0839868 0.230875 0.2806 \n",
" 0.110684 0.215861 0.189606 0.225609 0.0452827 0.166458\n",
" 0.155997 0.0991991 0.128958 0.0540482 0.291667 0.355136\n",
" 0.169301 0.227241 0.20653 … 0.258167 0.0639226 0.187833\n",
" 0.0785308 0.125597 0.098572 0.149202 0.139938 0.172998\n",
" 0.16812 0.063642 0.0858976 0.0866011 0.286065 0.345766\n",
" 0.107782 0.0761062 0.054878 0.116709 0.217903 0.262712\n",
" 0.125619 0.0644889 0.0979949 0.0572612 0.260664 0.313447\n",
" 0.0566472 0.113691 0.0871784 … 0.114509 0.160593 0.19877 \n",
" 0.230723 0.309149 0.28647 0.338517 0.0832212 0.178354\n",
" 0.0782245 0.0641722 0.0486586 0.079549 0.206203 0.25263 \n",
" ⋮ ⋱ ⋮ \n",
" 0.19979 0.108102 0.127727 0.0784044 0.331391 0.400879\n",
" 0.0927293 0.153613 0.122269 … 0.175931 0.111262 0.166078\n",
" 0.150178 0.0438514 0.0694586 0.0586622 0.278702 0.338385\n",
" 0.293425 0.398016 0.367633 0.408866 0.148162 0.212255\n",
" 0.0835977 0.193529 0.166683 0.20322 0.0719121 0.154904\n",
" 0.114889 0.0694989 0.0415786 0.111527 0.223309 0.272092\n",
" 0.108056 0.227069 0.199562 … 0.23698 0.0530325 0.16029 \n",
" 0.192783 0.116579 0.138176 0.0697328 0.325452 0.394331\n",
" 0.161684 0.0730849 0.0791309 0.116769 0.254684 0.309087\n",
" 0.133347 0.0584752 0.0839868 0.0 0.268717 0.327264\n",
" 0.148274 0.258709 0.230875 0.268717 0.0 0.17352 \n",
" 0.174336 0.314896 0.2806 … 0.327264 0.17352 0.0 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"using Distances\n",
"\n",
"out_sim_top = map(x -> x[end-499:end], sims)\n",
"push!(out_sim_top, real_lens[end-499:end])\n",
"out_sim_top = hcat(out_sim_top...)\n",
"Dist = pairwise(BrayCurtis(), dims=2, out_sim_top)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"using MultivariateStats\n",
"\n",
"mds_coor = classical_mds(Dist, 2)\n",
"\n",
"my_cgrad = cgrad([:red, :blue])\n",
"inds = map(x -> x[end] |> x -> x > 1000 ? 2 : 1, sims)\n",
"inds = map(x -> x[end] |> x -> if x < 1000 1; elseif 1000<=x<2500 2; else 3 end, sims)\n",
"push!(inds, 4)\n",
" \n",
"\n",
"plot(mds_coor[1, findall(x->x==1, inds)], mds_coor[2, findall(x->x==1, inds)], markercolor=\"blue\", markershape=:circle, markersize=5, \n",
" line=false, legend=:topleft, xtickfont=Plots.font(13), \n",
" ytickfont=Plots.font(13), label=\"simulated LC<1000\")\n",
"plot!(mds_coor[1, findall(x->x==2, inds)], mds_coor[2, findall(x->x==2, inds)], markercolor=\"red\", markershape=:circle, markersize=5, \n",
" line=false, label=\"simulated 1000<=LC<2500\")\n",
"plot!(mds_coor[1, findall(x->x==3, inds)], mds_coor[2, findall(x->x==3, inds)], markercolor=\"green\", markershape=:circle, markersize=5, \n",
" line=false, label=\"simulated LC>=2500\")\n",
"plot!(mds_coor[1, findall(x->x==4, inds)], mds_coor[2, findall(x->x==4, inds)], markercolor=\"black\", markershape=:xcross, markersize=13, \n",
" line=false, label=\"SD network GC\")\n",
"#savefig(\"./pics/MDS_simul_SDs2.pdf\") \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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CrQrsXw2TO8K380q9mjUv9SAdJ65i0PRUOk5cxbzUgy4qWkREpOJRwKporFboGA/DN8BNd0JuFiyKhwWPQPbxEg2ZkZPLhMVp5BUYN9DnFRQyYUmaVrJERESuQgGroqp1Mzy1HHqOB6s37F4Kk9vDDzd+/9rO9OyicPWrvPxCdqVnu6paERGRCkUBqyLzshnb6sSthaDb4fxp+Pgp+PAJOJtR7GGaB/lh97r0VLHbrDQP9nd1xSIiIhWCAlZlULcFDP0Kuo4FixekLTRWs3Z+XqyPB/o6GN8/HLvNOF3sNivj+4UTUE17IYqIiFyJ9iKsLGx26D4OmkbDwhHwy054/1Fo+QhETzI2lr6GQe1DiW4RxK70bJoF+RHoe+1dxK8mIyeXnenZNC/FGCIiIuWdVrAqm5taQ+xa6PQ7wALfLTCeNNz75XU/GujrICKsVomDkZ5EFBGRykIBqzLyrgK9XoanlkFAY8g+CnMHwpLfQa57blzXk4giIlKZKGBVZg06GO0c2sUZr7fOgikR8NN6l0+lJxFFRKQyUcCq7OzV4J43YPBiqN4AzhyC9/rC0j9B3jmXTaMnEUVEpDJRwBJD467GVjutBxuvU6dAUiQc/sYlw+tJRBERqUz0FKH8VxV/6P823NIfFj8DGXthRhREjDKeQLSV7qk/Vz2JKCIiUt5pBUsud3MviN8Etz8EzkLY+A+Y1g2Obi/10KV9ElFERMQTKGDJlVWtCfdPg4fmgk8tOJEG03vCmklQcNHs6kRERMo1BSy5tlv6QUKq8b+F+bBmohG0TvxodmUiIiLllgKWXF+1WvDgHLh/OlSpAce+g6QusOEfUFhgdnUiIiLljgKWFI/FArc/APGb4eYoKMiDL8fDjGg4udfs6kRERMoVBSy5Mf7B8OiH0P8dsPvBka9hamdITYLCwut/XkREpBJQwJIbZ7FA68chPgUadYH887B0DMzuD6e1v6CIiIgClpRcjQbw+CK4503w9oED642tdrbOAqfT7OpERERMo4AlpWO1Qrthxp6G9TtAXo6xafS8GMg6anZ1IiIiplDAEtcIbAJPfgG9XgEvB+z9EiZ3gO8+0GqWiIhUOgpY4jpWL+g0CuLWQb074EImfBoLHzwGOb+4bJqMnFw27j1JRk6uy8YUERFxJQUscb06zeHpldD9RbDaYOdnMLk97FhY6qHnpR6k48RVDJqeSseJq5iXqpvqRUSk/FHAEvfw8oauo2HYaqh7K5zLgI+egI+fhnOnSjRkRk4uExankVdgtIPIKyhkwpI0rWSJiEi5o4Al7hV8OwxbBZF/AIsVfvjYuDdr9/IbHmpnenZRuPpVXn4hu9KzXVWtiIiISyhgifvZHNDzJeOyYeDNkHMc5j8IixKM+7SKqXmQH3avS09Zu81K82B/V1csIiJSKgpYUnZC7oTh66HjSMAC386FyRGwb3WxPh7o62B8/3DsNuO0tdusjO8XTkA1uxuLFhERuXE2swuQSsa7KvR+DZr3gYUj4PQBmHMvtB0KvV4Ge7VrfnxQ+1CiWwSxKz2bZkF+BPo6yqZuERGRG6AVLDFHaAQM3wh3Pm28/mY6TOkEBzdd96OBvg4iwmopXImISLmlgCXmcfhC37/D45+C/01w+ieYeTcsfwEuXjC7OhERkRJTwBLzNekBI1Kg1SDACZvegaQu8PNWsysTEREpEY8KWImJiYSHhzNw4ECzSxFXq1oD7p0Mj7wP1erAyV0wvRd89Qrk57llyoycXFIPZqqPloiIuJxHBayEhATS0tJITk42uxRxl2Z3Q0Iq3DoQnAWw/k14twekf+/SaX7tCD/igzR1hBcREZfzqIAllYRPAMTMgJiZUDUAjn8P07rDur9BQX6ph1dHeBERcTcFLCm/br3fWM1q1gcKL8KqV+HfveCXXaUaVh3hRUTE3RSwpHzzrQMPz4P7ksBRHY5ug6mRkPIOFBaUaEh1hBcREXdTwJLyz2KBlg9D/CbjicOCXFjxAszqA6f23/Bw6ggvIiLupk7u4jmq3wSPfQJbZxm9sg5tMpqTRr1iNCy1WIo91K8d4b/Zc5S2N9dT01IREXEprWCJZ7FY4M4nYcRGCO0MF8/B538wtts5c/iGhgr0ddAutLrClYiIuJwClnimgEbwxBKIngS2KrB/DUyJMDaQdjrNrk5ERCo5BSzxXFYrdBgBwzdASFvIzYJFCbDgYchON7s6ERGpxBSwxPPVuhmeXAY9x4OXHXYvg8kd4PuPtZolIiKmUMCSisHLBpHPQexaCLodzp+G5Kfhoyfg7EmzqxMRkUqmzAPWhg0b6NChAxEREbz11luXHT9w4ADBwcF069aNwYMHl3V54unqhsOwVdD1T2DxgrRFxmrWj5+5ZbqMnFw27j2pLvAiInKJMm/T0LhxY9atW4fdbqd79+6MGDECHx+fS97Tp08fpk+fXtalSUXh5Q3dn4dm0fDpCPjlR/hgENz+MNw9CarWdMk081IPFm25Y/eyMr5/OIPah7pkbBER8WxlvoJVr1497HajoaOXlxdW6+UlLF++nMjISObNm1fW5UlFUu8OiF0DnX4HWOA/78PkCNj7ZamH1n6GIiJyLcUKWKNGjaJhw4ZYLBa2b99+ybE9e/YQERFB06ZNadu2LTt27CjWxCtXrqRJkyZUqVLlku8HBweza9cuVqxYQVJSEhkZGcX8UUSuwLsK9HoZnloOAY0h+yjMHQhLfge5Jd97UPsZiojItRQrYMXExLBhwwZCQy+//BEXF0dsbCy7d+9m7NixDBkyBIC0tDS6det2ydekSZMAOHLkCBMnTrziPVgOhwMfHx+qVq1KZGQk+/btu2pdOTk5ZGVlFX3l5mr1QK6iQXsYvhHaDzdeb50FUyKwHdlcouG0n6GIiFyLxeks/nPsDRs2ZOHChbRq1QqAEydOEBYWxqlTp7DZbDidToKDg9mwYQNhYWFXHCM3N5c+ffqQmJhIs2bNLjuek5ODr68vTqeT6OhoZs2aRXBw8CXv2bZtG23atLnss2PGjGHs2LHF+llOnz5NzZquuRdHPIvt8CaqfTkar+yfAbjQcgjnIsaAd9UbGufj7cd586ufyCtwYvey8MeejYhpVdcdJYsb6XeBgM4DMZT0PMjKyqJRo0ZkZmbi72/8Q7tUN7kfPnyY4OBgbDZjGIvFQoMGDTh06NBVA9b8+fNJS0sjLi4OgHnz5uHl5cWcOXMYPXo0KSkpjBs3Dm9vb2JiYi4LV/9r7dq1RWEPjNUvh6P4254EBAQU+71SgQT0gWaRsOJF2PYeVb6bRZXD6+G+qVC/XbGHie0RwMB2jdmVnk2zID9tuePB9LtAQOeBGEpyHvyagy75niuKuRFPPvkkTz755GXfHz16NABRUVFERUUVayxfX9+ipChyQ6r4Q/9/kR3SDb/V4+DUPpjRGyJGQfdxYCteWAr0dRARpmAlIiKXKtVThPXr1+fYsWPk5+cD4HQ6OXToEA0aNHBJcSLudrFhN4jfBLc/BM5C2PgPSOoKR7df97MiIiJXU6qAVadOHVq3bs3cuXMBSE5OJiQk5KqXB0XKpao14f5p8NBc8Kll9M2a3hPWTIKCi2ZXJyIiHqhYASsuLo6QkBCOHDlC7969LwlQSUlJJCUl0bRpUyZNmsTMmTPdVqyIW93SDxJS4Zb+UJgPayYaQet4mlunVTd4EZGKp1j3YCUlJV31WLNmzdi0aZPLChIxVbVa8OBs+CEZPv8DHPsOpnU17suKGAVWL5dOp27wIiIVkzZ7FvktiwVui4H4zXBzbyjIgy//AjOi4eRel02jbvAiIhWXApbI1fgHw6MfwIBEsPvBka9hamfYPBUKC6//+etQN3gRkYpLAUvkWiwWuOMxiE+BRl0h/zwsGwuz+8Ppg6UaWt3gRUQqLgUskeKo0QAeXwj3vAnePnBgPUyJgC0zofibIVwi0NfB+P7h2G3Gf4Z2m5Xx/cIJqGZ3ZeUiImKCMm80KuKxrFZoNwya9IBFCXBoE3z2e/hxCQx4B/zr3fCQg9qHEt0iSN3gRUQqGK1gidyowCYw5HOIehW8HLDvK5jcAb57v0SrWUY3+FoKVyIiFYgClkhJWL0g4hkYvh7q3QEXMuHTOPjgMcg5YXZ1IiJiMgUskdKo3Qye/hK6vwhWb9j5mbGatWOh2ZWJiIiJFLBESsvLBl1Hw7BVUPdWOJcBHz0BHz8F506ZXZ2IiJhAAUvEVYJvh2GrIfKPYLEa3eAnd4Bdy8yuTEREypgClogr2ezQ88/GZcNaTSHnOCx4CBYmGPdpuYn2MxQRKV88KmAlJiYSHh7OwIEDzS5F5NpC2kDcOug4ErDA9rkwOQL2rXb5VPNSD9Jx4ioGTU+l48RVzEstXQNUEREpPY8KWAkJCaSlpZGcnGx2KSLX510Ver8GT34BNRtC1hGYc6+xiXRujkum0H6GIiLlk0cFLBGPFBoBwzdC26HG62+mw9ROcDCl1ENrP0MRkfJJAUukLDh8oc9b8Pin4H8TnD4AM++B5S/AxfMlHlb7GYqIlE8KWCJlqUkPiN8ErR4DnLDpHUjqAke2lmg47WcoIlI+aS9CkbJWpTrcmwi39IMlo+Dkbvh3L+j8LHQdazyJeAO0n6GISPmjFSwRszSLhvjNcOtAcBbA+jfh3e6Q/v0ND6X9DEVEyhcFLBEz+QRAzAx4YBZUDYDjP8C07rDub1CQb3Z1IiJSQgpYIuVBi/sgIRWa94XCi7DqVeOy4S+7zK5MRERKQAFLpLzwrQMPzYX7ksBRHY5ug6mRkPI2FBaYXZ2IiNwABSyR8sRigZYPG08aNukJBbmw4kWY1QdO7Te7OhERKSYFLJHyqPpN8Fgy9Psn2H3h0CaY0gm+fhcKC6//eRERMZUClkh5ZbFAmyEwYiOEdoaL5+CLP8Lc++DMYbOrExGRa1DAEinvajaEJ5ZA9F/BVhX2r4EpEbBtDjidLp0qIyeXjXtPai9DEZFSUsAS8QRWK3QYDsM3QEhbyM2CxSNh/kOQne6SKealHqTjxFUMmp5Kx4mrmJd60CXjiohURgpYIp6kVhg8tRzu+gt42WHPckhsD99/XKrVrIycXCYsTivaODqvoJAJS9K0kiUiUkIKWCKexuplbKsTuxaCbocLZyD5afjoCTh7skRD7kzPLgpXv8rLL2RXerYrKhYRqXQUsEQ8Vd1wGLYKuj0PVhukLTJWs3787IaHah7kh93r0l8HdpuV5sH+rqpWRKRSUcAS8WRe3tDtTzD0S6h9C5w7CR8Mgk9i4fzpYg8T6OtgfP9w7DbjV4LdZmV8v3ACqt3YxtMiImKwmV2AiLhAvTsgbi2sfh1S/gX/+QB+Wgf934Gb7yrWEIPahxLdIohd6dk0C/LTxtEiIqWgFSyRisLmgF4TjJvgA5pA9jGYNxAWj4Lc4t1LFejrICKslsKViEgpKWCJVDT12xntHNoPN15ve8/om/XTOnPrEhGpRBSwRCoiuw/c/VejQWn1BnDmELzXD5aOhbxzbp1azUpFRBSwRCq2Rl0gPgVaP2G8Tp0KUzvDoVS3TKdmpSIiBgUskYrO4Qf9/wWDksGvHpzaBzOjYeVLcPGCy6ZRs1IRkf9SwBKpLG6+y1jNuv1hcBbCxn/CtG5w9FuXDK9mpSIi/6WAJVKZVK0J9yfBQ/OgWm345Ud4tyesnggFF0s1tJqVioj8lwKWSGV0S1+I3wy39AdnAaydBO/2gONpJR5SzUpFRP5LjUZFKqtqteDB2fBDMnz+B0j/D0zrCt3HQcQoY8/DG6RmpSIiBq1giVRmFgvcFgMJqdA0Ggry4Mu/wIzecHJviYZUs1IREQUsEQHwC4JH3ocBiWD3gyPfGO0cNk+BwsLrf15ERC6hgCUiBosF7ngM4jdB426Qfx6W/Qlm94fTB0wuTkTEsyhgicilatSHxxdCn7fA2wcOrIcpnWDLTHA6za5ORMQjKGCJyOUsFmg7FEZshAYdIS8HPvs9zB0ImT+bXZ2ISLmngCUiVxfQGIZ8DlGvgZcD9n0FkzvC9gVuXc3SfoYi4uk8qk1DYmIiiYmJnD9/3uxSRCoPqxdEjISbe8Gnw+HoNlg4HH5cAv3+Ab51XDrdvNSDRVvu2L3E+jsuAAAgAElEQVSsjO8fzqD2oS6dQ0TE3TxqBSshIYG0tDSSk5PNLkWk8qndDJ5eCT1eBKs37PocEtvDjk9dNoX2MxSRisKjApaImMzLBl1GQ+xqqHsrnD8FHw2Bj5+Cc6dKPbz2MxSRikIBS0RuXNBtMGy1EbYsXkY3+MkdYNfSUg2r/QxFpKJQwBKRkrHZjcuFT6+EWk0h5zgseBgWxsOFzBINqf0MRaSi8Kib3EWkHAppA3HrYNWrsCkRts+D/WthwNvQpMcND6f9DEWkItAKloiUnndV6P0aPLkUajaErCMw5z747DnIzbnh4bSfoYh4OgUsEXGd0I4wfKPRpBRgy79haic4mGJuXSIiZUwBS0Rcy+FrbLPz+ELwDzH2MZx5Dyx/AS6qh52IVA4KWCLiHk26Q3wKtHoMcMKmdyCpCxzZanZlIiJup4AlIu5TpTrcmwiPfAC+deHkbvj3XfDVy5Dv/uah2nJHRMyigCUi7tcsGuI3w60x4CyE9W/Buz0g/Xu3TTkv9SAdJ65i0PRUOk5cxbzUg26bS0TktxSwRKRs+ARAzL/hgffAJxCO/wDTusPav0FBvkun0pY7ImI2BSwRKVst7jVWs5r3hcKLsPpV47LhiZ0um0Jb7oiI2RSwRKTs+daBh+bCfdPAUR2OfmvcAJ/yNhQWlHp4bbkjImZTwBIRc1gs0PIhSNgMYXdBQS6seNFo6ZCxr1RDa8sdETGbtsoREXP514NBH8O294xeWYc3w9TO0OtluPNpsJbs34HackdEzKQVLBExn8UCbYbAiBRoGAkXz8EXf4Q598KZwyUeVlvuiIhZFLBEpPyoGQqDF0P0X8FWFX5aC5M7wrY54HSaXZ2ISLEpYIlI+WK1QofhMHwDhLSFvGxYPBLmPwhZx8yuTkSkWBSwRKR8qhUGTy2HuyaAlx32rIDJHeA/H5Xpapa6wYtISShgiUj5ZfWCzr+H2LUQ3BIunIFPhsKHg+HsSbdPr27wIlJSClgiUv7VDYehX0G358Fqgx8XQ2J7+HGJ26ZUN3gRKQ0FLBHxDF7e0O1PRtCqfQucOwkfPAafxML50y6fTt3gRaQ0FLBExLPUawVxa6Hzs2Cxwn8+MJ403LPSpdOoG7yIlIYCloh4HpsD7voLPLUCAsMg+xjMi4HFz8CFLJdMoW7wIlIa6uQuIp6rfluIWw9fvQypU2DbbNi3Bu5NhEZdSj28usGLSElpBUtEPJvdB+6eBE98BjUaQOYheK8ffDEG8s6Venh1gxeRklDAEpGKoVGksdVOmyHG66+TjD0ND6WaWpaIVE4KWCJScTj8oN8/YVAy+NWDU/tgZjSs+DNcvGBaWWpWKlL5lHnAOnDgAMHBwXTr1o3Bgwdf8T3PPPMMkZGRvP7662VcnYhUCDffBfGboOUj4CyElH/BtK5w9NsyL0XNSkUqJ1NWsPr06cOaNWuYPXv2Zce2bNmCzWZj/fr1bNu2jePHj5tQoYh4vKo14L6p8PB8qFYbftkJ7/aE1a9Dfl6ZlKBmpSKVlykBa/ny5URGRjJv3rzLjqWmptKjRw8AunbtytatW8u6PBGpSJr3gfhUCL8XnAWw9q8wvScc3+H2qdWsVKTyKlbAGjVqFA0bNsRisbB9+/ZLju3Zs4eIiAiaNm1K27Zt2bHj2r+0goOD2bVrFytWrCApKYmMjIxLjp85cwZ/f6ORn5+fH2fOnLmRn0dE5HLVAuHB9yBmBlStCen/gaSusP7vUJjvtmnVrFSk8ipWwIqJiWHDhg2EhoZediwuLo7Y2Fh2797N2LFjGTJkCABpaWl069btkq9JkybhcDjw8fGhatWqREZGsm/fvkvGq1GjBllZRqPA7OxsatSocdW6cnJyyMrKKvrKzdWyu4hcw60DIX4zNI2Gwovw1QT8P3oATu5xy3RqVipSeVmcTqezuG9u2LAhCxcupFWrVgCcOHGCsLAwTp06hc1mw+l0EhwczIYNGwgLC7viGDk5Ofj6+uJ0OomOjmbWrFkEBwcXHf/mm29YsGABf//733nggQd45513qFu3LgCJiYkkJiZy/vx5Dhw4cNnYY8aMYezYscX6WU6fPk3NmjWL+6NLBaXzoJJyOrH/mIzPupex5mXj9HJwrtNYcls+YWy/42Knz11kzy/nuLm2DzV9vF0+vpSefhcIlPw8yMrKolGjRmRmZhZdhStVJ/fDhw8THByMzWYMY7FYaNCgAYcOHbpqwEpJSWHcuHF4e3sTExNDcHAw6enpzJkzh9GjR9O2bVtmzZpFZGQkvXv3LgpXAAkJCSQkJLBt2zbatGnD2rVri8IegMPhwOEofjPAgICAEv7kUpHoPKikOsfCrXdzMTkO78MbqbbuZaodXGV0ga/Z0KVTBQRAkxCXDiluoN8FAiU7D37NQZd8zxXF3IioqCiioqIu+V5QUBCjR48uep2YmFissXx9fYuSoojIDatRn+x75xCw/1NY8RIc3ACTI6D3q9DmSbBYzK5QRDxUqdbC69evz7Fjx8jPN24SdTqdHDp0iAYNGrikOBERt7NYoO1QGLEBGkTAxbPw2bMw937I/Nns6kTEQ5UqYNWpU4fWrVszd+5cAJKTkwkJCbnq5UERkXIroDEM+QyiXgMvB+xbBZM7wvYFUPxbVd1G3eBFPEuxAlZcXBwhISEcOXKE3r17XxKgkpKSSEpKomnTpkyaNImZM2e6rVgREbeyekHESBi+AW5qA7mZsHA4vP8oZJvX9Fjd4EU8T7HuwUpKSrrqsWbNmrFp0yaXFSQiYrraTeGpFbDxH7BmEuz6Ag5thr5/hxb3lWkpV+sGH90iiEDf4j/UIyJlS5s9i4hciZcNuvwRYldD3dvg/Cn4aAh89CScO1VmZagbvIhnUsASEbmWoNtg2CroMhosXrDjE0hsD7uWlsn06gYv4pkUsERErsdmhx4vwtCVUKsZnD0BCx6GhfFwIdOtU6sbvIhnKvM+WCIiHuumNhC3Dla/CinvwPZ5sH8N9H8bwnq6bdpB7UOJbhHErvRsmgX56d4rEQ+gFSwRkRvhXQWiXoUnl0LNRpD1s9Ez67NnITfHbdMG+jqICKulcCXiIRSwRERKIrQjjNgIbYcZr7fMgKmd4MBGc+sSkXJBAUtEpKTs1aDPmzB4EVSvD6cPwKw+sGwcXDxvdnUiYiIFLBGR0mrcDUakwB2PA07YnAhTI+HIFpMLExGzKGCJiLhCFX8Y8A48+iH41oWMPfDvXvDlBMjX9jYilY0CloiIKzXtDfGb4bYHwFkIG/4O07rDsf+YXRmgPQ1FyooCloiIq/kEwMDp8OBs8AmEEzvg3e6w9g0ouGhaWdrTUKTsKGCJiLhL+ACIT4XmfaEwH1a/Zlw2PLGzzEu52p6GWskScQ8FLBERd/KtDQ/NhfvfhSrV4ei3kNQFNv4LCgvKrAztaShSthSwRETczWKB2x807s0KuwsKcmHln2HmPZCxr0xK0J6GImVLAUtEpKz414NBH0O/f4HdFw5vhqmdIXUaFBZe//OloD0NRcqW9iIUESlLFgu0ecLonbUoAQ6sh6WjYecSGJAINRq4bWrtaShSdrSCJSJihpqhMHgx3P0G2KrCT+tgcgRsmw1Op9um1Z6GImVDAUtExCxWK7SPM/Y0DGkHedmw+BmY/yBkHTO7uqtSLy2R61PAEhExW2ATeGoZ3DUBvOywZwVM7gD/+citq1kloV5aIsWjgCUiUh5YvaDz7yFuHQS3ggtn4JOh8OHjkPOL2dUB6qUlciMUsEREypM6t8DQL6HbOLDa4MclxmpW2mKzK1MvLZEboIAlIlLeeHlDt7Ew9CuoEw7nThorWcnD4Pxp08pSLy2R4lPAEhEpr+q1gtg10PlZsFjh+w8hsQPsXmFKOeqlJVJ86oMlIlKe2Rxw11+gWR9YOBwy9sL8B6D1YIh6DaqU7eqRemmJFI9WsEREPEH9thC3HjrEG6+3zYYpEbB/bZmXol5aItengCUi4insPhA9EZ74zOj4nnkYZveHL0ZD3lmzqxOR/6GAJSLiaRpFwogUaPOk8frracaehodSza1LRIooYImIeCKHH/T7BzyWDH714NR+mNEbVvwZLl4wuzqRSs+jAlZiYiLh4eEMHDjQ7FJERMqHsLsgfhO0fARwQsq/YFpX+Hmb2ZWJVGoeFbASEhJIS0sjOTnZ7FJERMqPqjXgvqnw8HyoVht+2QnT74LVr0N+ntnVXZH2M5SKzqMCloiIXEPzPhCfCi3uA2cBrP0rTO8Bx3eYXdkltJ+hVAYKWCIiFUm1QHhgFsTMgKo1If17SOoK69+Cgnyzq9N+hlJpKGCJiFREtw40VrOa3g2FF+Grl42b4E/uMbUs7WcolYUClohIReVXFx5ZAPdOAYc//LzFaOewaTIUFl7/826g/QylslDAEhGpyCwWaPWo8aRh4+6QfwGWPw/v9YVTP5V5OdrPUCoL7UUoIlIZVA+Bxz+FLTOMXlkHN8KUThD1Ctz5lBHEyoj2M5TKQCtYIiKVhcUCbZ+GERuhQQRcPAufPwdz74fMI2VaivYzlIpOAUtEpLIJaARDPofer4OtCuxbBZMjYPt8cDrNrk6kQlDAEhGpjKxW6JgAcevhpjaQmwkLR8CCRyD7uNnVFZsalkp5pYAlIlKZ1W4KT62Ani+B1Rt2L4XJ7eGHT8yu7LrUsFTKMwUsEZHKzssGkX+A2DUQdBucPw0fPwkfDYGzGSYXd2VqWCrlnQKWiIgYgm6FoaugyxiweMGOT2FyB9j5hdmVXUYNS6W8U8ASEZH/stmhxwswdCXUagZnT8D7j8CnI+D8GbOrK6KGpVLeKWCJiMjlbmoDcesg4hnAAt/NhykRsPcrsysDXNuwNCMnl9SDmbq8KC6lRqMiInJl3lUg6lVo3hc+HQ6nfzJ6Zt35FPR6BRy+ppbnioal81IPFt3LZffayfj+4QxqH+qGaqWy0QqWiIhcW4MORnPSdrHG6y0zjNWsAxvMrYvSNSzVjfLiTgpYIiJyffZqcM/fYPAiqF4fzhyEWX1h2fNw8bzZ1ZWIbpQXd1LAEhGR4mvcDUakwB2PA07YPBmmRsKRLSYXduN0o7y4kwKWiIjcmCr+MOAdePRD8A2CjD3w717w5QTI95zLa668UV7kt3STu4iIlEzT3hC/CZaOge8/gg1/h93L4b4pENzS7OqK5dcb5b/Zc5S2N9fT5tPiMlrBEhGRkvMJgIHT4cHZ4BMIJ3bAuz1g7RtQcNHs6ool0NdBu9DqClfiUgpYIiJSeuEDID4VbukHhfmw+jWYfhec+NHsysqENp2W31LAEhER1/CtDQ/OgfvfhSrV4dh2SOoCG/8JhQVmV+c22nRarkQBS0REXMdigdsfhPjNENYLCvJg5Usw827I2Gd2dS6nXlpyNQpYIiLiev71YNBH0P9tsPvB4VSY0glSp0Fh4fU/7yHUS0uuRgFLRETcw2KB1oMhPgUaRkL+eVg6Gmb3hzOHzK7OJdRLS65GAUtERNyrRgMYvBju/hvYqsKB9TA5Ara+B06n2dWViqs3ndaN8hWH+mCJiIj7Wa3QPhbCesLCEcYlwyWj4MclxmVE/2CzKywx1286bdWm0xWAVrBERKTsBDaBJ5dCr5fByw57V8LkDvCfDz16NUubTstvKWCJiEjZsnpBp99B3DoIbgUXzsAnw+CDxyDnF7OrK3O6Ub5iUsASERFz1LkFhn4J3V8Aqw12fgaT20PaYrMrK1O6Ub5iUsASERHzeHlD1zEwbBXUCYdzGfDh45A8FM6dMru6MqFNpysm3eQuIiLmC24JsWtgzSTY+A9j8+if1hs3wDeNMrs6t3PFjfJSvmgFS0REygebA+4aD0+vhMAwyEmH+Q/AopFwIcvs6tyuNDfKS/njUQErMTGR8PBwBg4caHYpIiLiLiF3Qtx66BAPWODbOTAlAvavMbsykWLzqICVkJBAWloaycnJZpciIiLuZPeB6Ikw5DOoEQqZh2H2APhiNOSdNbs6kevyqIAlIiKVTMPOMGIjtHnSeP31NJjaGQ5tNrcuketQwBIRkfLN4Qf9/gGPfQL+N8Gp/TAjGla8CBcvmF2dyBUpYImIiGcI6wkjUqDlo4ATUt6GpC7w8zazKxO5jAKWiIh4jqo14L4p8PACqFYHTu6C6XfBqtcgP8/s6kSKKGCJiIjnaX4PxG+GFveDswDWvQHTe0D6D2ZXJgIoYImIiKeqFggPzISYGVC1JqR/D9O6wfq3oCDf7OqkklPAEhERz3brQIhPhWb3QOFF+OplmBEFv+w2uzKpxBSwRETE8/nVhYfnw71TwOEPP2+FpEjYlAiFhWZXJ5WQApaIiFQMFgu0ehTiN0Hj7pB/AZaPg/f6wqmfzK5OKhkFLBERqViqh8Djn0Lf/wPvanBwI0zpBN/8G5xOs6uTSqLMA9ayZcvo1q0b3bp1IzAwkO3bt19y/MCBAwQHB9OtWzcGDx5c1uWJiEhFYLHAnU8ZXeBDO8HFs/D5czDnPsg8YnZ1UgmUecCKjo5mzZo1rF69msaNG9OyZcvL3tOnTx/WrFnD7Nmzy7o8ERGpSAIawROfQe+JYKsC+1fD5I7w7TytZolbmXaJ8JtvvuHOO+/EYrFcdmz58uVERkYyb948EyoTEZEKxWqFjvEwfAPcdCfkZsGieFjwCGQfN7s6qaCKFbBGjRpFw4YNsVgsl13S27NnDxERETRt2pS2bduyY8eOYk28aNEiBgwYcNn3g4OD2bVrFytWrCApKYmMjIxijSciInJNtW6Gp5ZDz/Fg9YbdS2Fye/gh2ezKpAIqVsCKiYlhw4YNhIaGXnYsLi6O2NhYdu/ezdixYxkyZAgAaWlpRfda/fo1adKkos+tXr2aHj16XDaew+HAx8eHqlWrEhkZyb59+65aV05ODllZWUVfubm5xflxRESksvKyQeRzELsGgm6D86fh46eotnQknK0Y/6DPyMll496TZOTo70Qz2Yrzpi5dulzx+ydOnGDLli2sWLECgIEDBzJy5Ej27t1LeHg4a9asueLn9u/fT0hICHa7/bJjOTk5+Pr64nQ62bJlCyNHjrxqXV27dr3k9ZgxYxg7dmxxfiROnz5drPdJxabzQHQOVFL2ejDwY6p+k0iVbxJx7Pmcwnc2c7bnRC427mV2dSX28fbj/O2rn7hY4MTby8Lono2IaVXX7LI8Rkl/H2RlZV32vWIFrKs5fPgwwcHB2GzGMBaLhQYNGnDo0CHCwsKu+rnfXh5MT09nzpw5jB49mpSUFMaNG4e3tzcxMTEEBwdfdZy1a9fSqlWrotcOhwOHw1Hs+gMCAor9Xqm4dB6IzoFK7J5XoOV9FHw8DK/Te/H7LBZaPgLRk4yNpT1IRk4ub351gIsFxs37FwucvLnqAAPbNSbQt/h/N1Z2Jfl98GsOuuR7rijmRj377LOXvA4KCmL06NEAREVFERUVVaxxfH198ff3d3l9IiJSidzUmsxHPiNg+2RIeRu+WwD718KAtyHsLrOrK7ad6dnkFVzatT4vv5Bd6dlEhClglbVSPUVYv359jh07Rn6+samm0+nk0KFDNGjQwCXFiYiIlAmbA6JegaeWQUBjyD4KcwfCkt9DbrbZ1RVL8yA/7F6X/rVut1lpHqyFCDOUKmDVqVOH1q1bM3fuXACSk5MJCQm55uVBERGRcqtBB6OdQ7tY4/XWmUYX+AMbzK2rGAJ9HYzvH47dZvzVbrdZGd8vnIBql9/vLO5XrEuEcXFxfP7556Snp9O7d2/8/PzYu3cvAElJSQwZMoTXX38df39/Zs6c6daCRURE3MpeDe75GzTvC4tGwpmDMKsPtB8BPV8Cu4/ZFV7VoPahRLcIYld6Ns2C/HTvlYmKFbCSkpKueqxZs2Zs2rTJZQWJiIiUC427GlvtrHgBts2G1CmwdyXcOxXqtzW7uqsK9HXonqtyQJs9i4iIXE0Vf+j/Njz6EfgGQcZemBEFX/4F8tVnSq5OAUtEROR6mkZB/Ca47UFwFsKG/4Np3eDYd2ZXJuWUApaIiEhx+ATAwHfhwTngUwtOpMG7PWDNX6HgotnVSTmjgCUiInIjwvtD/Ga4pR8U5sOa12H6XXDiR7Mrk3JEAUtERORG+dY2VrLunw5VqsOx7ZDUBTb+EwoLzK5OygEFLBERkZKwWOD2ByA+FW6OgoI8WPkSzLwbMvaZXZ2YTAFLRESkNPyD4dEPjacN7X5wONVoTpqaBIWF1/+8VEgKWCIiIqVlsUDrwRCfAo26QP55WDoGZveH0wfNrk5MoIAlIiLiKjUawOOL4J43wdsHDqyHKRGw9T1wOs2uTsqQApaIiIgrWa3Qbpixp2H9DpCXA0tGwbwHIOuY2dVJGVHAEhERcYfAJvDkF9DrFfByGNvsTG4P332g1axKwKMCVmJiIuHh4QwcONDsUkRERK7P6gWdRkHcOqh3B1zIhE9j4YPHIOcXs6sTN/KogJWQkEBaWhrJyclmlyIiIlJ8dZrD0yuh+wtgtcHOz4zVrLRFZlcmbuJRAUtERMRjeXlD1zEwbBXUaQHnMuDDwZA8FM6dMru6S2Tk5LJx70kycrShdUkpYImIiJSl4JYQuxoi/wAWK3z/EUzuCLtXmF0ZAPNSD9Jx4ioGTU+l48RVzEtVm4mSUMASEREpazYH9HzJuGwYeDPkpMP8B2BRAlzIMq2sjJxcJixOI6/AaJCaV1DIhCVpWskqAQUsERERs4TcCcPXQ4cEwALfzjX6Zu1fY0o5O9Ozi8LVr/LyC9mVnm1KPZ5MAUtERMRM3lUh+nUY8jnUCIXMwzB7AHz+R8g7W6alNA/yw+51aTSw26w0D/Yv0zoqAgUsERGR8qBhJxiRAnc+bbz+5l1jT8NDm8ushEBfB+P7h2O3GfHAbrMyvl84AdXsZVZDRWEzuwARERH5/xy+0Pfv0LwPLH4GTv8EM6IhYiR0fxG8q7i9hEHtQ4luEcSu9GyaBfkR6Otw+5wVkVawREREypuwnsZqVqtBgBNS3oakLvDztjKZPtDXQURYLYWrUlDAEhERKY+q1oB7J8PDC6BaHTi5C6bfBateg/w8s6uT61DAEhERKc+a3wMJqdDifnAWwLo3YHoPSP/B7MrkGhSwREREyjufAHhgJsTMhKoBkP49TOsG69+Cgnyzq5MrUMASERHxFLfeD/Gbodk9UHgRvnoZZkTBL7vNrkx+QwFLRETEk/jVhYfnw71TwVEdft4KSZGwKREKC6//eSkTClgiIiKexmKBVo9A/CZo0gPyL8DycfBeXzj1k9nVCQpYIiIinqv6TfDYJ9D3/8C7GhzcaDQn/ebf4HSaXV2lpoAlIiLiySwWuPMpGLERQjvDxbPw+XMw5z7IPGJ2dZWWApaIiEhFENAInlgC0ZPAVgX2r4bJHeHbeVrNMoECloiISEVhtUKHETB8A4S0hdwsWBQPCx6B/9fe3QdVdd95HH9fHtWAErSgBIEENdVtEoXBUAxKhYRkU227oI0PXTUx4Eo0zXYM6SazNV3X6Gwza3cWDU2auPGpTkKSJraRwDg+EI0WxERFFt02RaJiDCL4hCBn/zgrq0EN4L33x73385rhj3OP55wPM9/Bz5xz7jnN9abT+RQVLBEREW8zaDjM2QzpvwD/IKj5EFbeDweKTCfzGSpYIiIi3sg/AFL/EXK2weB74cJpePtxeGs2nPvKdDqvp4IlIiLizSJHwZNbYMJz4BcAB9+1z2ZV/8F0Mq+mgiUiIuLt/APhez+HuaXwrZFw7kv43XR4dx5caDSdziupYImIiPiKqDGQsxXGPQ0OP/h0g/1NwyOlppN5HRUsERERXxLYBx78JTxeDOHx0HwM1mbBB09DS7PpdF5DBUtERMQXDR1rP87h/nn2csVqWJUCn5cZjeUtVLBERER8VVA/eGS5/YDSATHQWAurH4UPn4NL502n82gqWCIiIr7uzvEwfyckzraXd6+CwlQ4+iejsTyZCpaIiIhAcChM+jXMKILQIfDVEXj9IShdDG0tptN5HBUsERER+X/DM2D+Lrj3MbDaoezf4TdpcGyf6WQeRQVLRERErtX3dvi7QvjxWug3CE5WwWvpsHUZXG41nc4jqGCJiIjI9Y2cBHm7YeRkaG+DrS/ZRevkIdPJej0VLBEREbmx2wbB1Dch67fQJwyOfwqF46FsBbRfNp2u11LBEhERkZtzOOCebJj/CQzPhMuXoPQX8PrDcOqI6XS9kkcVrIKCAkaNGkVWVpbpKCIiIr6n/xCYvhF+UABBoVC3B155AD55BdrbTafrVTyqYOXl5VFVVUVRUZHpKCIiIr7J4YAxM+3nZt05AdouwOZ8eHMynP6r6XS9hkcVLBEREeklwmLgJ+/B3/4KAvvB5zvsV+1UrAbLMp3OOBUsERER6Rk/Pxj7pP1Ow6HJcOms/dLoddnQdMx0OqNUsEREROTWDIyHOX+Eh5aAfzAcKYWVyfDpRp89m6WCJSIiIrfOzx9SFkDudogaAxfPwLs5sHEmnD1pOp3bqWCJiIiI80R8G54ohe+9AH6BUL3JPpt18D3TydxKBUtEREScyz8AJiyCJ7dA5Hfg/Ffw1ix4+wk432A6nVuoYImIiIhrDLnXLlmpPwOHHxx42z6bVVNsOpnLqWCJiIiI6wQEQ/o/25cNB42As/Wwfir8Ps++T8tLqWCJiIiI60Un2jfAf/cpwAGVa2FlCvx5q+lkLqGCJSIiIu4R2Bcy/9V+pMPtcdBUB2/+AP7wM7h0znQ6p1LBEhEREfeKTYF5H0PSXHv5T6/BqnHw111mczmRCpaIiIi4X3AIPPoy/ORd6B8Np/8CbzwCxc9D60XT6W6ZCpaIiIiYEz/RfnH06JmABbv+EwrHwxcVppPdEhUsERERMavPAPhhAUzbCCGRcOq/4bUHYcsSaLtkOl2PqGCJiIhI73D3wzD/E/hONliXYaWydnsAAAnJSURBVPu/wasT4cQB08m6TQVLREREeo9+4ZD9W5iyGvqGQ/1++E0abP8VXG4zna7LVLBERESk9/mbH0Hebvj296G9Fbb8C7z+EHxZYzpZl6hgiYiISO8UEgE/Xgs/KoTgAfaN74WpsKsA2ttNp7spFSwRERHpvRwOuO8xyPsE4tOh7SIU/xOsfhQa/mw63Q2pYImIiEjv1z8KZhbBpF9DUAjU7oRVD9gPKbUs0+k6UcESERERz+BwQOJs+IedEJcKrefs1+ys+SE0HjWd7hoqWCIiIuJZbo+Fv38fHl4OAX3tF0avSoHKdb3mbJYKloiIiHgePz9IngfzyiA6CVqa4PfzYcNj0HzCdDoVLBEREfFgg4bB48WQ8SL4B0HNZliZDPvfNno2SwVLREREPJufPzzwU8jZBoPvhQunoegJeGs2nPvKTCQjRxURERFxtshR8OQWSPs5+AVA1Xuw8n44tMntUVSwRERExHv4B0LaczC3FL41Es59CRtnwDu59pktN1HBEhEREe8TNQZyt8G4n4LDDz77Haz8LhwudcvhXVqwGhoaSExMJCQk5JrPFyxYQGpqKkuXLr3udt+0XkREROQbBQTDgy/aN8GHx0PzcViXBR88DS3NLj20SwtWaGgoJSUlJCcnd3xWXl5OQEAAO3bsYO/evdTX11+zzTetFxEREemWoWPtxzncP89erlhtPzfrLztcdkiXFqzAwEDCw8Ov+Wz37t1MnDgRgAkTJlBRUdGt9SIiIiLdFtQPHlkOsz6AATHQWAv/9X34MB8unXf64ToVrIULFxIXF4fD4WDfvn3XrDt8+DApKSmMGDGCpKQkDh482O0DNjY20r9/f8A+w9XY2Nit9SIiIiI9dud4mL8TEmbZy7tfgVcegKN7nHqYTgUrOzubsrIyYmNjO/3j3NxccnJyqKmpIT8/n9mzZwNQVVVFWlraNT/Lli277gHDwsJoamoCoLm5mbCwsG6tv9rZs2dpamrq+Glpaenaby0iIiK+KzgUJv8HzCiC0Cho+B94PZPAz7c57RABX/9g/Pjx1/2HJ0+epLy8nI8++giArKwsnnrqKY4cOcKoUaPYunVrlw44duxYNmzYwKRJk9i+fTtTp07t8vqCggIKCgq4cOECYF9CvNqzzz5Lfn5+l3KcPu2+r2pK76U5EM2AgObAZw1MwDHtj/Tb/iJBNR9w7syXtDY0dHs3V04MXa1TwbqRo0ePMmTIEAIC7E0cDgcxMTHU1tYybNiwG26XkZFBZWUlGRkZrFixgqSkJFavXk1qaiqZmZlERkZy4sQJ1qxZw6JFi667/oq8vDzy8vLYu3cviYmJbNu2jdGjR3esDw4OJjg4uKu/Uqf7w8Q3aQ5EMyCgOfBd4fDYarjcStCZ5h7NwZVudM1nTkh2U6WlnZ83UVBQcM3y4MGDWbRo0Q3X30hISEjH/VoiIiIiPeYf6NTddflbhEOHDuX48eO0tbUBYFkWtbW1xMTEODWQiIiIiKfrcsGKiIggISGBtWvXAlBUVER0dPRNLw+KiIiI+KJOBSs3N5fo6Gjq6urIzMy8pkAVFhZSWFjIiBEjWLZsGW+88YZbw4qIiIh4gk4Fq7CwkLq6Otra2qivr+fIkSMd6+6++2527dpFTU0N5eXl3HPPPW4N6ywtLS0sX75cj3XwcZoD0QwIaA7E5uw5cFiWZTllT2505VuEFRUVJCQkdHv7pqYmBgwYwJkzZ3STvA/THIhmQEBzILZbmYPrbevSV+WIiIiI+CIVLBEREREnc/lzsFzhypPcDx061KPtz549C8C+ffsICQlxWi7xLJoD0QwIaA7EditzcGXb8+fPd1wi9Mh7sNatW8fMmTNNxxARERHpsG3bto5XDnpkwTp16hTFxcXExcXRt2/fHu0jKyuLoqIiJycTT6M5EM2AgOZAbD2dA8uyOHfuHImJidx2222Ah14iHDRoEDNmzLilffTt27dH30AU76I5EM2AgOZAbM6cA//FixcvdsqePNDYsWNNR5BeQHMgmgEBzYHYnDUHHnmJUERERKQ302MaRERERJxMBetrFixYQGpqKkuXLjUdRQxoaGggMTFRX9X2cWVlZSQnJ5OSksLLL79sOo4YsmfPHsaNG0dKSgovvPCC6Thi0IoVK8jIyOjWNipYVykvLycgIIAdO3awd+9e6uvrTUcSNwsNDaWkpITk5GTTUcSgu+66i+3bt7Nz5042bdrE+fPnTUcSA8aMGcPHH3/Mzp072bVrF01NTaYjiQGtra3s27ev29upYF1l9+7dTJw4EYAJEyZQUVFhOJG4W2BgIOHh4aZjiGFRUVEEBQUB4O/vj5+f/lT6osDAQAAuX75MVFQU/fr1M5xITFizZg3Tpk3r9nZe+1dj4cKFxMXF4XA4OjXPw4cPk5KSwogRI0hKSuLgwYMANDY2djyBNTQ0lMbGRrfnFufpyQyI97mVOSgpKSE+Pp4+ffq4M7K4QE/nYP369YwcOZKwsDACAjzyyUbyf3oyA+3t7RQXF5OZmdnt43ltwcrOzqasrIzY2NhO63Jzc8nJyaGmpob8/Hxmz54NQFhYWMcp4ObmZsLCwtwZWZysJzMg3qenc1BXV8dLL72ke7C8RE/nYPr06VRXV3Ps2DH279/vxsTibD2ZgXfeeYfJkyf37ICWl4uNjbUqKys7luvr663Q0FCrtbXVsizLam9vtyIjI63Dhw9be/bssZ555hnLsiwrOzvbOnHihJHM4lzdmYEr0tPT3Z5TXKs7c3Dx4kUrPT3dqq6uNhVXXKS7c3DFrFmzrJqaGrfnFefrzgwsWbLEysjIsDIzM62BAwdar776apeP47VnsG7k6NGjDBkypONUr8PhICYmhtraWpKSkmhpaSE1NZX77ruPyMhIw2nFFW42AwAZGRlUVlaSkZHBgQMHTEYVF7rZHKxfv56qqipyc3NJS0vjiy++MJxWXOVmc/D++++TlpbG+PHjiY6OZvjw4YbTiivcbAaef/55SkpK2Lx5M6NHj2bu3Lld3q8uKH9NQUGB6QhiWGlpqekIYticOXOYM2eO6Rhi2JQpU5gyZYrpGNJLdPf/Bp87gzV06FCOHz9OW1sbYL+gsba2lpiYGMPJxF00AwKaA7FpDsRVM+BzBSsiIoKEhATWrl0LQFFREdHR0QwbNsxwMnEXzYCA5kBsmgNx2Qw488ax3iQnJ8e64447LH9/fysiIsKKj4/vWFddXW0lJydbw4cPtxITE63PPvvMYFJxFc2AWJbmQGyaA3H3DOhlzyIiIiJO5nOXCEVERERcTQVLRERExMlUsEREREScTAVLRERExMlUsERERESc7H8BNPOeHC8VeAEAAAAASUVORK5CYII="
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"using StatsBase, Histograms\n",
"\n",
"counts = reduce(vcat, out_sim)\n",
"\n",
"h = Histograms.Histogram(float(counts), scale=:log)\n",
"plot(h, xscale=:log10, yscale=:log10, markershape=:auto, line=false)\n",
"x = range(1, 10000, length=10); y = x.^(-2.5)\n",
"plot!(x, y)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1-element Array{Int64,1}:\n",
" 1"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rmprocs(pros, waitfor=10)\n",
"procs()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"using ApproxBayes, Distributions, Histograms, Distances\n",
"\n",
"frac = 0.47\n",
"max_elem = 6670\n",
"in_mod = \"mod2\"\n",
"out_mod = \"cc_distr\"\n",
"dist_type = \"bray\"\n",
"epsilon = 0.2\n",
"\n",
"function compare_sim_real(in_param, useless, real_distr)\n",
" delta = in_param[1]/1000.0\n",
" simdata = MainNetworkGrowth.Network_grow(delta, frac, max_elem, in_mod, out_mod, start_cnt=2)\n",
" if dist_type == \"bray\"\n",
" if length(simdata) >= 500\n",
" return braycurtis(simdata[end-499:end], real_distr[end-499:end]), 1\n",
" else\n",
" throw(DomainError(\"too short unfortunately\"))\n",
" end\n",
" elseif dist_type == \"bin\"\n",
" h_sim = Histograms.Histogram(float(simdata), breaks=bins, scale=:log10)\n",
" vec_norm = abs.(h_sim.counts .- real_distr)\n",
" norm_dist = sum(filter(x -> x >= 0, log10.(vec_norm)))\n",
" return norm_dist, 1\n",
" end\n",
"end\n",
" \n",
"setup = ABCRejection(compare_sim_real, #simulation function\n",
" 1, # number of parameters\n",
" epsilon, # target ϵ\n",
" Prior([Uniform(0.05, 0.9)]); # Prior for each of the parameters\n",
" maxiterations = 5000, # Maximum number of iterations before the algorithm terminates\n",
" nparticles = 5000,\n",
" )\n",
"\n",
"rejection = runabc(setup, real_lens, parallel=true) # h_real.counts\n"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAmgAAAGgCAYAAAAevJsNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAGWdJREFUeJzt3X9s1PX9wPFX2WEHrcV0Un4IDRqKE1AqyEJ0ytxi1ixuOhbNcLCQ6PDH3D9bAvyxxJgYMpLNZXEhoDFkC2YbAm7JZibTacVEl86f0+kGhLPoYN0sW+FgeB2f7x9+6STKdlfK3fuuj0fSZFd793nxStM+9/n07hqyLMsCAIBkjKn2AAAAnEygAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJCZX6QMWCoV4/vnnY9asWTF+/PhKHx4AoKKyLItDhw7F1KlTY8yY0s6NVTzQnn/++Vi8eHGlDwsAUFX79u2LadOmlfS1FQ+0pqamiIjo7u6Ozs7OSh8+IiL6+/ujtbW1Kscerey88uy88uy88uy88uy8fAMDAzF9+vQ4++yzS75PxQOtoaEhIiKam5ujpaWl0oePiIjBwcGqHXu0svPKs/PKs/PKs/PKs/PhO9FApfAkAQCAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0gBHixTuBkSLQAAASU/F3EgD4X9a3tUWxUKj2GCUb29QUd/T1VXsMoI4INCA5xUIhikeOVHsMgKpxiRMAIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg3gNOXGj6/2CECdyVV7AIB6sr6tLYqFQrXHKMnYpqa4o6+v2mMAH0KgAYygYqEQxSNHqj0GUONc4gQASIxAAwBIjEADAEiMQAMASIxAAwBIjEADAEiMQAMASIxAAwBIjEADAEiMQAMASIxAAwBIjEADAEiMQAMASIxAAwBIjEADAEiMQAOgZrW2tlZ7BDgjBBrAKJUbP77aIwCnkKv2AABU3/q2tigWCtUeo2Rjm5rijr6+ao8BZ4xAAyCKhUIUjxyp9hjA/3OJEwAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDFlB9qjjz4a8+fPj87Ozpg7d2786Ec/ioiIvr6+6Orqio6Ojpg7d248/fTTIz4sAMBoUNZbPWVZFsuWLYunnnoqLrnkksjn8/Hxj388lixZEmvWrIlFixbFr3/96+jp6YkvfvGLsXfv3hg7duyZmh0AoC6VfQatoaEh/vGPf0RExMDAQHzsYx+LxsbG2LJlS9x2220REbFw4cKYOnVqdHd3j+y0AACjQFln0BoaGuJnP/tZLFmyJJqamuLgwYOxffv2OHToUBSLxZg8efLQ186YMSN6e3tP+ViHDx+OgYGBoduNjY3R2Ng4jH8CAEB9KSvQBgcH45577ont27fHVVddFT09PfGFL3whXnrppbIPvHjx4pNur1q1KlavXl324wzHwYMHK3Ic/sPOK68Wd97a2lrtEahB/f391R5hVKnFny3V9v4TUqUqK9Beeuml+Mtf/hJXXXVVRLx3KXPatGnxyiuvRC6XiwMHDgydRcvn89He3n7Kx+ru7o7Ozs6h25U+g+YXQeXZeeXZOaOB7/PKs/Py5HJl5VZElPk3aNOnT4/9+/fH66+/HhERu3fvjj179sSFF14YN9xwQ2zYsCEiInp6euLtt9/+wFmy92tubo6WlpahD5c3AQDeU1bSTZo0Ke6///648cYbY8yYMXH8+PH44Q9/GO3t7bFu3bpYvnx5dHR0xFlnnRWbN2/2DE4AgGEo+5zb0qVLY+nSpR/4/KRJk2LHjh0jMhQAwGjmnQQAABIj0AAAEiPQAAASI9AAABIj0AAAEiPQoE55IUmA2iXQAAASU/57DwA1Y31bWxQLhWqPUZJxEyfGyny+2mMAJEGgQR0rFgpRPHKk2mOUJFcjIQlQCS5xAgAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACRGoAEAJEagAQAkRqABACSm7EA7duxY3HnnndHR0REXX3xxLFu2LCIidu3aFZdffnnMmjUrFi5cGK+99tqIDwsAMBrkyr3DmjVroqGhIf785z9HQ0NDHDhwICIibr311li5cmWsWLEitm7dGitWrIienp4RHxgAoN6VFWiFQiEefPDBeOutt6KhoSEiIiZPnhx9fX3x+9//Pnbs2BEREV/60pfizjvvjN27d8fMmTNHfmoAgDpW1iXOPXv2RGtra6xduzYuu+yyuPLKK+OJJ56Iffv2xZQpUyKXe6/3Ghoaor29PXp7e0/5WIcPH46BgYGhj2PHjp3evwQAoE6UdQZtcHAw3nzzzZg9e3Z85zvfiRdffDGuueaa+NWvflX2gRcvXnzS7VWrVsXq1avLfpzhOHjwYEWOw3/YeWW1trZWewSomP7+/mqPMKr4eV6+gYGBsu9TVqC1t7fHmDFj4itf+UpERFx66aVx/vnnx5tvvhn79++PwcHByOVykWVZ9Pb2Rnt7+ykfq7u7Ozo7O4duNzY2RmNjY9n/gOHyC6zy7Bw4E/xsqTw7L8+JK4zlKOsS57nnnhuf+cxn4rHHHouIiL1798bevXvjiiuuiPnz58fmzZsjImLbtm0xbdq0//r3Z83NzdHS0jL0Uck4AwBIWdlJt2HDhrj55ptj9erVMWbMmNi4cWOcd955sXHjxlixYkWsXbs2WlpaYtOmTWdiXgCAuld2oF1wwQXx5JNPfuDzF154YTz77LMjMhQAwGjmnQQAABIj0AAAEiPQAAASI9AAABIj0AAAEiPQAAASI9AAABIj0AAAEiPQAAASI9AAABIj0AAAEiPQAAASI9AAABIj0AAAEiPQAAASI9AAABIj0AAAEiPQAAASI9AAABIj0AAAEiPQAAASI9AAABKTq/YAkLr1bW1RLBSqPUbJxk2cGCvz+WqPAcBpEGjwPxQLhSgeOVLtMUqWq6GYBODDucQJAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGQM3JjR9f7RHgjPJWTwDUtFp6v9yxTU1xR19ftcegBgg0AGparb1fLpTCJU4AgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAw70DZt2hQNDQ3x85//PCIi+vr6oqurKzo6OmLu3Lnx9NNPj9iQAACjybACLZ/PxwMPPBCLFi0a+tyaNWti0aJFsWvXrti0aVPcdNNNUSwWR2xQAIDRouxAO378eNxyyy1x3333RWNj49Dnt2zZErfddltERCxcuDCmTp0a3d3dIzcpAMAokSv3Dvfee29cccUVsWDBgqHPvfPOO1EsFmPy5MlDn5sxY0b09vae8nEOHz4cAwMDQ7cbGxtPCj4AgNGqrEB79dVXY9u2bSPy92WLFy8+6faqVati9erVp/24pTh48GBFjsN/1OLOW1tbqz0CUMf6+/urPcKw1OLP82p7/wmpUpUVaDt37ox8Ph8dHR0REXHgwIFYuXJl3H333ZHL5eLAgQNDZ9Hy+Xy0t7ef8rG6u7ujs7Nz6Halz6D55Vt5dg7wH7X8M7GWZ6+GXK7sC5bl/Q3a7bffHvv37498Ph/5fD4WLVoU999/f9x+++1xww03xIYNGyIioqenJ95+++0PnCV7v+bm5mhpaRn6cHkTAOA95SfdKaxbty6WL18eHR0dcdZZZ8XmzZtj7NixI/XwAACjxmkF2lNPPTX0vydNmhQ7duw43XkAAEY97yQAAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkBiBBgCQGIEGAJAYgQYAkJiyAu1f//pXXH/99TFr1qyYN29eXHPNNbF79+6IiOjr64uurq7o6OiIuXPnxtNPP31GBgYAqHdln0FbuXJl/OlPf4qXX345rrvuurjlllsiImLNmjWxaNGi2LVrV2zatCluuummKBaLIz4wAEC9KyvQPvrRj8bnPve5aGhoiIiIRYsWRT6fj4iILVu2xG233RYREQsXLoypU6dGd3f3KR/r8OHDMTAwMPRx7NixYf4TqAWtra3VHgEAakbudO78gx/8IK677rp45513olgsxuTJk4f+24wZM6K3t/eU9128ePFJt1etWhWrV68+nXFKdvDgwYoch/eIM4AP6u/vr/YIw+J3aPkGBgbKvs+wA23t2rWxe/fueOKJJ+Lo0aNl37+7uzs6OzuHbjc2NkZjY+NwxymbaKi89W1tUSwUqj1GScZNnBgr///sMMCZUMu/h2p59mrI5crPrWEF2ne/+93Yvn17PP744zF+/PgYP3585HK5OHDgwNBZtHw+H+3t7ad8jObm5mhpaRnO4alRxUIhikeOVHuMkuRqJCQBqE9lP0ng3nvvjZ/85Cfxm9/8Js4555yhz99www2xYcOGiIjo6emJt99++wOXMQEA+N/KOoP21ltvxbe+9a244IIL4uqrr46I9y5N/u53v4t169bF8uXLo6OjI84666zYvHlzjB079owMDQBQz8oKtGnTpkWWZR/63yZNmhQ7duwYkaEAAEYz7yQAAJAYgQYAlMwzOCtDoAFAheTGj6/2CNSI03qhWgBgeGrptSEjIsY2NcUdfX3VHmPUEGgAUAW19NqQVJ5LnAAAiRFoAACJEWgAAIkRaAAAiRFoAACJEWgAAIkRaAAAiRFoAACJEWgAAIkRaAAAiRFoAACJEWgAAIkRaAAAiRFoAACJEWgAAIkRaAAAiRFoAACJEWgAAIkRaAAAiRFoAACJEWgAAIkRaAAAiRFoAACJEWgAAIkRaAAAiclVewDKs76tLYqFQrXHKNm4iRNjZT5f7TEAoKYItBpTLBSieORItccoWa6GYhIAUuESJwBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAEBiBBoAQGIEGgBAYgQaAPA/5caPr/YIo0qu2gMAALVlfVtbFAuFao9RkrFNTXFHX1+1xyibQAMAylIsFKJ45Ei1x6hro/ISZ2tra7VHAAA4pVEZaAAAKRu1lzhr6fr5uIkTY2U+X+0xAIAKGbWBVkvXz3M1EpIAwMhwiRMAIDEjGmi7du2Kyy+/PGbNmhULFy6M1157bSQfHgBgVBjRS5y33nprrFy5MlasWBFbt26NFStWRE9Pz0geYsSMbWqq9ggle/+stTR3RO3OXqtzR9Tu7LU6d0Ttzl6rc0fU7uy1OndE7c5eS7O+X0OWZdlIPFBfX1/MnDkz+vv7I5fLRZZlMWXKlHjmmWdi5syZQ1/3wgsvxIIFC6K7uzs6OzuHPt/Y2BiNjY0jMQoAQDIGBgZiwoQJ8c9//jNaWlpKus+InUHbt29fTJkyJXK59x6yoaEh2tvbo7e396RAO2Hx4sUn3V61alWsXr16pMY5Ja+BBgCjU39/f1WOOzAwUPZ9qvYszmqeQevv7xdqFWbnlWfnlWfnlWfnlVfLO6/W3CdOXpV1n5E6+PTp02P//v0xODg4dImzt7c32tvbP/Trm5ubSz7NBwAwmozYszjb2tpi/vz5sXnz5oiI2LZtW0ybNu1DL28CAHBqI3qJc+PGjbFixYpYu3ZttLS0xKZNm0by4QEARoURDbQLL7wwnn322ZF8SACAUWfUvZPAsWPHYt26dXHs2LFqjzJq2Hnl2Xnl2Xnl2Xnl2XnljNjroJXqxOugPf/88zF//vxKHjoihvdaJJweO688O688O688O688Ox+e4ext1J1BAwBInUADAEhMxV+o9ujRoxER8frrr1f60BERcfjw4YiIeOmll6K5ubkqM4w2dl55dl55dl55dl55dj48J/Z25MiRki9xVvxv0B566KFYtmxZJQ8JAFB13d3dcdVVV5X0tRUPtL///e/x2GOPxYwZM2LcuHGVPDQAQMVlWRaFQiEWLFgQTU1NJd2n4oEGAMB/50kCAACJEWgAAImpy0DbtWtXXH755TFr1qxYuHBhvPbaax/4mt/+9rfxiU98ImbPnh1z5syJVatWxfHjx6swbf0oZe/PPvtsdHZ2RmdnZ8yZMyduvfVWr0h9GkrZ+QlZlsWnP/3pOOeccyo4Yf0pZedPPfVUjBs3buh7vbOzc+gZ7JSv1O/zP/zhD/GpT30qLrroorjoooti+/btFZ60fpSy802bNp30PX7uuefGkiVLqjBtncrq0NVXX51t2rQpy7Ise/jhh7PLLrvsA1/zwgsvZHv27MmyLMuOHj2aXXHFFUP3YXhK2XuhUMjefffdLMuy7N///nd2/fXXZ/fee28lx6wrpez8hO9973vZLbfckk2YMKFC09WnUnb+5JNPZvPmzavwZPWr1J8t559/frZz584sy7JscHAw6+vrq+SYdaWcny0nzJkzJ9u6desZnmz0qLtA++tf/5qdffbZWbFYzLIsy44fP55NmjQp27Vr13+939e//vXsrrvuqsCE9Wk4ez969Gj22c9+Nvv+979fqTHrSjk7f/XVV7Mrr7wy2717t0A7DaXuXKCNnFJ3/sADD2RLly6txoh1Zzg/z5977rls4sSJQ/8HnNNXd5c49+3bF1OmTIlc7r3X4G1oaIj29vbo7e095X0OHDgQW7dujWuvvbZSY9adcvaez+dj3rx5ce6558aECRPijjvuqPS4daHUnReLxfja174WGzdujI985CPVGLVulPN9vmfPnpg/f34sXLgw1q9fX+lR60apO//jH/8YjY2Nce2110ZnZ2d89atfjb/97W/VGLnmDef36IMPPhjLly+PsWPHVmrMuld3gVaugYGB+PznPx+rVq2Kyy67rNrjjAozZsyIl19+OQ4cOBDHjh3zdyJn2N133x1LliyJiy66qNqjjBrz58+Pt956K1544YV45JFHYsOGDbFly5Zqj1XXBgcH4/HHH4+NGzfGiy++GOedd17cfvvt1R5rVCgUCvHTn/40br755mqPUlfqLtCmT58e+/fvj8HBwYh47w+je3t7o729/QNfe+jQoejq6orrrrsuvvnNb1Z61LpSzt5PaG5uji9/+cvx0EMPVWrMulLqzru7u+O+++6LGTNmxCc/+ckYGBiIGTNmOLswDKXuvKWlJSZMmBAREdOmTYulS5fGzp07Kz5vPSh15+3t7XH11VfHeeedFw0NDbFs2bJ47rnnqjFyzSv35/nDDz8cc+bMidmzZ1dyzLpXd4HW1tYW8+fPj82bN0dExLZt22LatGkxc+bMk77u8OHD0dXVFV1dXfHtb3+7GqPWlVL3vnv37igWixER8e6778YjjzwSl1xyScXnrQel7nznzp3x5ptvRj6fj2eeeSZaWloin8/HxIkTqzF2TSt15/v37x96VvihQ4fil7/8ZVx66aUVn7celLrzG2+8MXp6emJgYCAiIh599NGYN29exeetB6Xu/IQHH3zQ2bMzoZp/AHemvPHGG9miRYuyjo6ObMGCBdkrr7ySZVmW3XzzzdkvfvGLLMuy7J577slyuVw2b968oY977rmnmmPXvFL2vnHjxmzOnDnZJZdcks2ePTv7xje+kR09erSaY9e0Unb+fnv37vUkgdNUys7vu+++bPbs2UPf53fddVd2/Pjxao5d00r9Pv/xj3+czZkzJ7v44ouzrq6urLe3t1oj17xSd/7GG29kzc3N2cDAQLVGrVve6gkAIDF1d4kTAKDWCTQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMQINACAxAg0AIDECDQAgMT8H1WsndVeThkfAAAAAElFTkSuQmCC",
"text/plain": [
"PyPlot.Figure(PyObject <Figure size 600x400 with 1 Axes>)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot(rejection, title=\"\")\n",
"#savefig(\"./pics/ABC_hist_delta.pdf\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.1.0",
"language": "julia",
"name": "julia-1.1"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.1.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}