11.3B-filter_app-PS3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (11.3B) Application of filter with new distance - transcription rate volume dependence"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook we use the new objective function $D_{new} = D_{HD}\\times D_{euc}$ in combination with the averaging filter designed in notebook 10. The filter width will be chosen so that the autocorrelation function of the artificial experimental lineage is $1/e$.\n",
    "\n",
    "Let's start by importing the SSA and the experimental data (only to be used to given initial volumes, molecule numbers and exponential growth rates) and processing it as was done in notebook 5:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "include(\"./SSA_file.jl\"); using .SSAmod;\n",
    "include(\"./extract_gens.jl\"); using .extract;\n",
    "using DelimitedFiles;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "filelist = readdir(\"Analysis_MC4100_37C/MC4100_37C/\"); # take the file names - each file is for a different lineage.\n",
    "raw_data = []; # define the raw data array.\n",
    "for (i,file) in enumerate(sort!(filelist))\n",
    "    push!(raw_data,readdlm(string(\"Analysis_MC4100_37C/MC4100_37C/\", file), ',', Float64, '\\n'))\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "fluor_all_lins = [raw_data[x][:,4] for x in 1:length(raw_data)]; # non-separated fluor data.\n",
    "vol_all_lins = [raw_data[x][:,3] for x in 1:length(raw_data)]; # non-separated vol data.\n",
    "\n",
    "fluor_sep_all_lins = extract_gens(raw_data,4); # the fluor. data for each lineage sep into gens.\n",
    "vol_sep_all_lins = extract_gens(raw_data,3); # the vol. data for each lineage sep into gens.\n",
    "times_sep_all_lins = extract_gens(raw_data,1); # the time pt data for each lineage sep into gens.\n",
    "\n",
    "fpm = readdlm(\"MN_props.csv\")[1];\n",
    "exp_grs = readdlm(\"exp_grs_all.csv\", ',', Float64, '\\n');\n",
    "\n",
    "num_sep_all_lins = []; # sep into gens.\n",
    "for i in 1:length(fluor_sep_all_lins)\n",
    "    push!(num_sep_all_lins,fluor_sep_all_lins[i]./fpm)\n",
    "end\n",
    "\n",
    "# un-sep molecule number and concs for each lineage (including 70th gen to be removed) later).\n",
    "num_all_lins = [fluor_all_lins[x]./fpm for x in 1:length(fluor_all_lins)];\n",
    "conc_all_lins = [num_all_lins[x]./vol_all_lins[x] for x in 1:length(fluor_all_lins)];\n",
    "\n",
    "v0_n0_th = []; # 2-d array to storing (1) the initial values of vol (2) molecule #  and (3) theta for each gen in each lin\n",
    "for x in 1:length(fluor_all_lins) # the lin loop\n",
    "    v0_n0_th_x = [];\n",
    "    for y in 1:length(fluor_sep_all_lins[x]) # the gen loop 1 --> 69\n",
    "        num = fluor_sep_all_lins[x][y][1]./fpm;\n",
    "        push!(v0_n0_th_x, [vol_sep_all_lins[x][y][1], num, exp_grs[x,y]])\n",
    "    end\n",
    "    push!(v0_n0_th, v0_n0_th_x)\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Second attempt at inference from artificial data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's create the experimental data of which we wish to infer the parameters of. We again introduce the lineage function created in notebook 5. We set $\\alpha_0 = 5.0$, $\\alpha_1 = 0.0$, $\\beta_0 = 1.0$ and $\\beta_1 = 1.0$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "true_par = [0.5,1.0,0.0,0.000001];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Single_lin (generic function with 1 method)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lineage_data = num_sep_all_lins[1]; # take the data for the first lineage, this gives the data form for Single_lin.\n",
    "lin_ic = v0_n0_th[1]; # pre-set params for lineage 1.\n",
    "\n",
    "function Single_lin(lin_data::Array{Array{Float64,1},1}, inf_par::Array{Float64,1}, ics::Array{Any,1}) # arguments are wrt each lineage.\n",
    "    SSA_data_c = [];\n",
    "    for (i,gen) in enumerate(lin_data)\n",
    "        ssa = SSA_deg_zero_log(1, inf_par, ics[i], length(gen)); # for each gen run the SSA with correct ics.\n",
    "        push!(SSA_data_c, ssa[2][:]);\n",
    "    end\n",
    "    return convert(Array{Array{Float64,1},1},SSA_data_c) # return \n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We take the initial conditions on molecule numbers and volume from lineage 1 of the Tanouchi data, as well as the fluorescence per molecule and exponenital growth rate in each generation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "expt_ssa_conc = Single_lin(lineage_data, true_par, v0_n0_th[1]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot this data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Plots.PyPlotBackend()"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using GpABC, LambertW, Distances, Plots, Distributions, LaTeXStrings, StatsBase, Statistics, LinearAlgebra; pyplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAj8AAAGwCAYAAABGogSnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/d3fzzAAAACXBIWXMAAA9hAAAPYQGoP6dpAACyTUlEQVR4nO2dd5wU9f3/X7N7e5W7oxzccVQLiHKACIKCIipSFLBF7CUxmmKJQU3km5/RJEaMJmICiaZoSCzBFCC2qKAoIqi0k6IU5egcRzmu396W+f2x+5n9zOxn6vbb9/PxQPdmZ2c+M/OZz+f9eVdJlmUZBEEQBEEQWYIr1Q0gCIIgCIJIJiT8EARBEASRVZDwQxAEQRBEVkHCD0EQBEEQWQUJPwRBEARBZBUk/BAEQRAEkVWQ8EMQBEEQRFaRk+oGpBvBYBAHDx5EcXExJElKdXMIgiAIgrCALMtoampCZWUlXC5j3Q4JPxoOHjyIfv36pboZBEEQBEE4YN++fejbt6/hPiT8aCguLgYQunklJSUpbg1BEARBEFZobGxEv379lHncCBJ+NDBTV0lJCQk/BEEQBJFhWHFZIYdngiAIgiCyChJ+CIIgCILIKkj4IQiCIAgiqyDhhyAIgiCIrIKEH4IgCIIgsgoSfgiCIAiCyCpI+CEIgiAIIqsg4YcgCIIgiKyChB+CIAiCILIKEn4IgiAIgsgqSPghCIIgCCKrIOGHIAiCIIisgoQfm/gDQQSCcqqbQRAEQRCEQ0j4sYEsy7jzxfU49Sdv4fG3vsTBE22pbhJBEARBEDYh4ccGR5s78P62Osgy8KeVu3D9nz9JdZMIgiAIgrAJCT828AWCqr/3HGtNUUsIgiAIgnAKCT8EQRAEQWQVJPzYgNycCYIgCCLzIeGHIAiCIIisgoQfgiAIgiCyChJ+bCDLZPgiCIIgiEyHhB+CIAiCILIKEn5sQIofgiAIgsh8SPghCIIgCCKrIOGHIAiCIIisgoQfgiAIgiCyChJ+CIIgCILIKkj4IQiCIAgiqyDhxwYU7UUQBEEQmQ8JPwRBEARBZBUk/BAEQRAEkVWQ8GMDmeq6EwRBEETGQ8IPQRAEQRBZBQk/BEEQBEFkFST82ICivQiCIAgi8yHhJwZK8nNS3QSCIAiCIGxCwo8NSPFDEARBEJlPWgk/K1euxIwZM1BZWQlJkrB06dKofb788kvMnDkTpaWlKC4uxjnnnIO9e/cq33u9Xtxzzz0oKytDUVERZs6cif379yekvR2BYEKOSxAEQRBE4kgr4aelpQUjRozAggULhN9//fXXOO+88zBkyBB88MEH+Pzzz/Hwww8jPz9f2ee+++7DkiVLsGjRIqxatQrNzc2YPn06AoFA3Nvb4SfhhyAIgiAyjbRyWpk2bRqmTZum+/1PfvITXHrppXjyySeVbSeffLLyuaGhAc8//zxefPFFTJo0CQDw0ksvoV+/fli+fDmmTJkSU/tkjcdzUAb8gSBy3GklQxIEQRAEYUDGzNrBYBBvvvkmBg8ejClTpqBXr14YO3asyjS2fv16+Hw+TJ48WdlWWVmJqqoqrF69Wnhcr9eLxsZG1T8z3C5J+UymL4IgCILILDJG+Kmrq0NzczOeeOIJTJ06Fe+++y6uvPJKXHXVVfjwww8BALW1tcjNzUW3bt1Uvy0vL0dtba3wuHPnzkVpaanyr1+/fqZtKfC4weSf5nZ/bBdGEARBEERSyRjhJxgMaVguv/xy/PCHP8SZZ56Jhx56CNOnT8dzzz1n+FtZliFJkvC7OXPmoKGhQfm3b98+/eOE/y9JQLfCXADAsZYO+xdDEARBEETKyBjhp6ysDDk5OTjjjDNU208//XQl2quiogIdHR2or69X7VNXV4fy8nLhcfPy8lBSUqL6Z4YEoHtRSPg5TsIPQRAEQWQUGSP85Obm4uyzz8b27dtV23fs2IEBAwYAAEaNGgWPx4Nly5Yp3x86dAhbtmzBuHHj4tqeLuEEh60d8Y8iIwiCIAgicaRVtFdzczO++uor5e+amhpUV1eje/fu6N+/Px588EFce+21mDBhAi688EK8/fbbeP311/HBBx8AAEpLS3H77bfj/vvvR48ePdC9e3c88MADGDZsmBL9FQss2EuSJOTlhORGr5+EH4IgCILIJNJK+Fm3bh0uvPBC5e/Zs2cDAG699VYsXLgQV155JZ577jnMnTsX9957L0477TT85z//wXnnnaf8Zt68ecjJycGsWbPQ1taGiy++GAsXLoTb7Y5rW/NyQsfz+ijaiyAIgiAyCUnWJq/JchobG1FaWoqGhoYo/5+v6pox6ekPUVrgwdiTuuPdLw7j8SuH4Yax/VPUWoIgCIIgAOP5W0vG+PykByE5UZKAPE9Y80NmL4IgCILIKEj4cUjE54fMXgRBEASRSZDwYwPeQKgIP+TzQxAEQRAZBQk/DpAA5IaFn3YyexEEQRBERkHCj0Nyw8VM/VTbiyAIgiAyChJ+bMCHxXnCwo8vQMFyBEEQBJFJkPDjAEmSOOGHND8EQRAEkUmQ8OOQHHeoUCoJPwRBEASRWZDwYwOlvAUiPj9k9iIIgiCIzIKEH4d4wpqf9748jIY2X4pbQxAEQRCEVUj4cYgnHOre2O7HTX/5NMWtIQiCIAjCKiT82EDmylt4XJFbt/lAQ6qaRBAEQRCETUj4cYgnR0p1EwiCIAiCcAAJPw5hoe4EQRAEQWQWNIPbIFLbSyLhhyAIgiAyFJrBHcKivQiCIAiCyCxI+LEBX9Vdq/kJBinfD0EQBEFkAiT8OECSooWfJ97ehg4/ZXsmCIIgiHSHhB+HaIWfP63chUVr96aoNQRBZAv/t2QzfvHGF6luBkFkNCT82EDJ8wOxz8+eY61JbhFBENnEgRNteOXTvXh+VQ28/kCqm0MQGQsJPw4RRXvl5tDtJAgicbR1RASeIFnZCcIxNFs7xO2K1vzkUvg7QRAJxM9JPH6SfgjCMTRb20Cp6i4BfkE1d9L8EASRSPhxJ0ARpgThGJqtHSLS/BTlulPQEoIgsoWOAK/5IeGHIJxCwo9DBpd3wVUj+6i2ucnsRRBEAmn3RXx+SPNDEM6h2doBEiRIkoSnrz0Tv7/hLGW7P0A2eIIgEofXR5ofgogHJPzEyKXDKjD+1B4AxH5ABEEQ8YIPb3//y8MpbAlBZDYk/MSIJEnoXVoAAPBR9AVBEAmkndP8PPzfrSlsCUFkNiT82ICP9uJhCQ8DpPkhCCKB8D4/BEE4h4SfOJDjCt3GL2sbU9wSgiA6MyT8EER8IOHHBnx5Cx5mh6fyFgRBJJJ2Kp5MEHGBhJ84MGpANwCU5JAgiMRCmh+CiA80W8eBXsX5AAAfhboTBJFA2jTCz77jpG0mCCeQ8GODiMOz2vCVE3Z4plB3giASSVO7X/X3/1u6JUUtIYjMhoSfOMAcnknzQxBEImls86n+rm/tSFFLCCKzIeEnDrBQd8q4ShBEItFqfoIyjTkE4YS0En5WrlyJGTNmoLKyEpIkYenSparvb7vtNkiSpPp3zjnnqPbxer245557UFZWhqKiIsycORP79++PS/v0hhlPuKYXmb0IgkgkR5u9qr9pzCEIZ6SV8NPS0oIRI0ZgwYIFuvtMnToVhw4dUv699dZbqu/vu+8+LFmyBIsWLcKqVavQ3NyM6dOnIxBIXJQE8/npILMXQRAJZK/GwZm0zQThjJxUN4Bn2rRpmDZtmuE+eXl5qKioEH7X0NCA559/Hi+++CImTZoEAHjppZfQr18/LF++HFOmTIl7mwFe80PCD0EQiaPZqzZ70ZhDEM5IK82PFT744AP06tULgwcPxh133IG6ujrlu/Xr18Pn82Hy5MnKtsrKSlRVVWH16tXC43m9XjQ2Nqr+6SGH7eva8hY5Lor2Iggi8WhdfC4Y3DM1DSGIDCejhJ9p06bh5Zdfxvvvv4/f/OY3WLt2LS666CJ4vSE7eG1tLXJzc9GtWzfV78rLy1FbWys85ty5c1FaWqr869evn+12Mc0PFTYlCCIZXH1WXwCRxKpefwAtGq0QQRD6ZJTwc+211+Kyyy5DVVUVZsyYgf/973/YsWMH3nzzTcPfybIclZuHMWfOHDQ0NCj/9u3bZ9qO6MKm5PBMEETyYBGmvvCYM3neSox6bBnaOigDNEFYIaOEHy29e/fGgAEDsHPnTgBARUUFOjo6UF9fr9qvrq4O5eXlwmPk5eWhpKRE9U8PPdEmhwt1lyn0lCCIBMCPLcqCKxiE1x/AnmOtaPcF8cUhKq5MEFbIaOHn2LFj2LdvH3r37g0AGDVqFDweD5YtW6bsc+jQIWzZsgXjxo1LWDvYQARQxBdBEImHzyp/ojWS+JAcoAnCGmkl/DQ3N6O6uhrV1dUAgJqaGlRXV2Pv3r1obm7GAw88gDVr1mD37t344IMPMGPGDJSVleHKK68EAJSWluL222/H/fffj/feew8bN27ETTfdhGHDhinRX/FA0tR1ZypoAPjRvzfF7TwEQRAMXqmcy/wMNcJPfatP+zOCIASklfCzbt06jBw5EiNHjgQAzJ49GyNHjsRPf/pTuN1ubN68GZdffjkGDx6MW2+9FYMHD8aaNWtQXFysHGPevHm44oorMGvWLIwfPx6FhYV4/fXX4Xa7Y26fnkWLlbcAgP9WH4z5PARBEFr44SfPExrP2v0BVfj7tloyexGEFdIqz8/EiRMNfWbeeecd02Pk5+dj/vz5mD9/fjybZgiv+SEIgkg0Jfmhobup3Y8Of8TU9czynfj+xFOVKDCCIMTQG2ILcZ4fvUgygiCIeMEvDEsLPABChU61foaN7WT6IggzSPghCILIAHideNfCXABh4cevFn68fnJ6JggzSPghCItoJxmCSBVFuSGfn9aOQFS/pFw/BGEOCT82YFpnMnJlHws/rsHg//c/fLjjSKqbQmQpvDskc3j2+gPo0BRtbu2gTM8EYQYJPwRhgUdf/wIAcN+ijSluCZGtyJzhK98TGrrbfcEozU8raX4IwhQSfgjCBkFK4E2kAfm85idK+CHND0GYQcKPDdi8R9Fd2UuQypcQKYLvekz4CcpAS4fW7EWaH4Iwg4SfOHHvxYNS3QQiCZDsQ6QD+VweH62Dc6uXhB+CMIOEHweI9D4zhofqi3Ur9CS3MUTCWbv7uPKZCtcS6QBzeAaANh85PBOEXUj4sYHRvOfhau0QnYtFn+1TPpPPD5Eq+PFHQiSzvNbnR2sGIwgiGhJ+4oQnrIamqu6dj9yciK6PfH6IVMFHe0kS4HaF+qUvQHl+CMIuJPw4QWD3YqswXyBIppFOBtPqAeTzQ6QHEiSloLJfo21uIbMXQZhCwo8OXn/06slIqMkNT5CyDATINtKp4E2ZpNkjUoV2+CHND0E4h4QfHT7YZi+TL68dIL+fzgWVtSDSAX5UkSQghwk/Qa3mh4QfgjCDhB8dtKspgMvzI9g/xx3ZStqBzkW7QAtIEKlG0fxE1fYisxdBmEHCjw4i4ccIj4vX/JDw05lobqfJhEg9WrM7M2/tP9Gq2t5CeX4IwhQSfnTQqpLNcLkkRQ2tdUAkMptmr1r4IYd2IhVozV5N4X655UAjAKCiJB8A0Ooj4YcgzCDhR4dAUGD2YlXddcpbRHL9kOanM6F1YD/U0J6ilhBECElgfO+SnwOAzF4EYQUSfnRw4uTKwt295CDbqdDqeX76360paQeR3ZgpHIvyQsIPmb0IwhwSfnTwG5i99Mqa5oYTHfoFWiOi83C4kTQ/RArgMzwLBqEueaGSF9pyFwRBREPCjw4+f7TwI0fpANQwsxeFRncyNEtul570SxBJQtQFCzwhzQ/V9iIIc0j40cHvwG+HfH6yBB2fL4JIJGaLrzwP1RckCKuQ8KODUbSX3twXKTRIg09nQvs0SfQhUoGqsKlgEMoLL74CQZmyzBOECST86CDU3piMJ6T56ZxoHU3J7EWkGlEXZJofgMagRNHhD2L9nuOOLANEekHCjw5OBo+8HBJ+soHzTi1LdROILES79npkxhmqv/Ny3MpnGoMSw0//uwVXP7sGT76zPdVNIWKEhB8dGtp8ut+JcmwApPnprDBfi8rSUBK5HDe9NkTy4ZNrShJw/Zj+qu9ZtCmQeX4/sixj/ns7seyLw6luiiGL1u4DAPxp5a4Ut4SIFRrFdRAJP2bDiRLtlWEDD2ENd9ini/wpspO2jgCeWb4DWw82pLopkCQJuRoh3CVFssxn2gJs1VdH8ZtlO3DH39eluilElkDCjw4NrfqaHz08zOxFoe6dCrbgznFFHEqJ7GPBip14ZvlOXPa7VSk5v7bX8SV1gJAvWqam2zjS5E11E4gsg4QfHbYcbIxyaouUtxD/JtedmasuwhqsinaAantlJdtrm1J6flG3y+NMXZLERZxm2BjkpigCIsmQ8GPA/7bU2tqffH46JxHND5m9shneoTiV8Isv3s/HJUnK35k2BjGtaqZAwlrmk1k9Lskcb+mwtT8Tfqi2V+ckJ7yq9pNPV1bCa1lSgSjJIS+QSeAWYBmWaywTYgh4U2Kv4rwUtoSIBxnQ5VJHT00Ht1reItMiLQhj2NN0h1enQTJ7ZSV8Hp2UwMzu3KZcldlL4oIuMmsB5s4AzU9dU6SmX2XXghS2hIgH6d/jUohd1XFuDvn8dEZYiDEze1Hh2uwkXcxePHo+P5k2BjGtKgAE09SsPPvVz5XPZPTKfEj4MUAvYkKUWh4gn5/OjuLwTI83K0m92SsEP/5ofX4ydQxyc9fkT1Ph57Pdx5XP6dlCwg4k/BigVR2bWTtyM1TlTFiDrar/8dleLN6wP8WtIZJNbqqFH4HZS6X5ATLY4TlyVe9vO4xrnluNXUeaU9giY9JVQCOsQ8KPAXZzZUTy/NCL0RnpWpCrfJ79z88N9iQ6Iy69HBcpJFdj9lIWYBk2BvHRU999aQPW7q7HD1+tTl2DTEhX0xxhnbQSflauXIkZM2agsrISkiRh6dKluvt+5zvfgSRJeOaZZ1TbvV4v7rnnHpSVlaGoqAgzZ87E/v3OVul6qye9ITBTVc6EMWzFXVKQk9qGECklJ8XhzSzgQh3qzkV7ZbDZi/f5YRxtthdtm0xI85P5pJXw09LSghEjRmDBggWG+y1duhSffvopKisro7677777sGTJEixatAirVq1Cc3Mzpk+fjkAgYLs9Ws2PWXenJIedm7En9Uh1E4gU4k4Tp1y+tmCUw3NOZmZ41vOjTFcCFPSQ8aTVUnbatGmYNm2a4T4HDhzA3XffjXfeeQeXXXaZ6ruGhgY8//zzePHFFzFp0iQAwEsvvYR+/fph+fLlmDJliq322DZ7kc9Pp4StuCm3R3bDa358wSDyXMmN/hL5HEYlOczQBVimZY+gRKeZT1ppfswIBoO4+eab8eCDD2Lo0KFR369fvx4+nw+TJ09WtlVWVqKqqgqrV68WHtPr9aKxsVH1T/lOz+yls0ihPD+dnMxanBJxhs9Fk4rJTzkj1w+1Ds+ZavYS6dXTOZ8WCT+ZT0YJP7/61a+Qk5ODe++9V/h9bW0tcnNz0a1bN9X28vJy1NaKS1XMnTsXpaWlyr9+/fop32kdl2WTlzGicrZvYiPSlzQeg4kkwrulpHKBoxftxYe6f1nbhP9WHzAds9KZdl96jaOTTu+lfKb6fplPxgg/69evx29/+1ssXLjQtn1YlmXd38yZMwcNDQ3Kv3379infdej4CZkXNqUXozMikeonq+EjklKi+RFMuKryFlxV91c+3YsfLKrG8i/rkta+WBDJEm1pJvz0KslXPgdojM94Mkb4+eijj1BXV4f+/fsjJycHOTk52LNnD+6//34MHDgQAFBRUYGOjg7U19erfltXV4fy8nLhcfPy8lBSUqL6x7Dr8Jy5KmfCCBrmCACqVU8qsnwreX50CptKkqRkmWdsPdiQjKbFjOgda/el1zjKO7lTtFfmkzHCz80334xNmzahurpa+VdZWYkHH3wQ77zzDgBg1KhR8Hg8WLZsmfK7Q4cOYcuWLRg3bpztc9rV4CgOzxkWaUEYw1bcGRaQQiSQVBa35TWQuW6xzw+jMDf9SnJkKry2L539kQhrpFW0V3NzM7766ivl75qaGlRXV6N79+7o378/evRQhxp7PB5UVFTgtNNOAwCUlpbi9ttvx/33348ePXqge/fueOCBBzBs2DAl+ssOuuUtdMwfmZpdlbAGyT5ZDjfhpYvDq9rnJ1r4KchNqyFeF5EswaIr65ra8eeVu3D9mP44uWeXJLcsAu/nQ5qfzCetND/r1q3DyJEjMXLkSADA7NmzMXLkSPz0pz+1fIx58+bhiiuuwKxZszB+/HgUFhbi9ddfh9ttfwXk1Qo/FstbkM9P54J/mvdePChl7SBSC98PUrHAsWb2Ug/pKc7LaBmRP9PI/l0BAD98tRp//qgGV/z+4yS3Sg1v9koX4ZdwTlotCyZOnGgrOmH37t1R2/Lz8zF//nzMnz8/5vbYHeDI56dzI0kSZo6oxO/e25nqphApJpWTn25tL4HmZ/XXx3Dj2AFJall8YYvIDXtOAAAa2/0pbA3Ar2lJ+Ml80krzk27oV3UX788KX1KSw04GN87xie72HGtJQWOIVMGvy1Jh9pAFqme+vEWu26VEnDLe3HQo4e2KB6K7yRaR6aK9IofnzgUJPwZEVXU3sXt5yOenUyNJ6nDnZV8cTmFriGTDa6VT4fAcMXuJy1t0yc+J0vxkCiKFP1t8pktBWV7b4wsESfuT4WTmm5Ik7EZtKT4/GVZRmTCGf5q88JPnoUiabILvB6kIdWfwosB5g8qUzx63C4V5ak+GoZUlyFQUzU+aqH54h2dZBo41e1PYGiJWSPgxwGlVdzJ7dU60zz0vh16fbCU1Zq9o+HpzHf4gTq8oVn2vdYBOV0RadebzkyaKn6hitocbSfjJZDLjzUgRUUkOTcY75vPjozw/nQpZJ8Q5nzQ/WYXK5yclZi9m94ps401gJ5UVoUCT1ydjTDOCZkZ8ftJD+tHm9qltbE9RS4h4kFbRXulGVKg7Q+dlJM1P54QNeZIE9O1WoGxPjyGZSBbpaPYCgNfuHo+9x1tR1acU22ubVN+lMhljrHSkmfCj1faR8JPZkObHALuOy5TkMLPZd7wVb20+ZJhuQZIknB/2s0jlBEiklnQxewHA8L5dMX14JQBA6+98tNmLSU9/iPlpnp4hE6K9dh0JRXeyBVCLN7Wh90RskPBjQFS0l8Ukh0E5g9TNhML5T67A91/egNc14cGR5x4ahcmxPTtRmT/TJNpLi9ulHtLrmrz4qq4Zv1m2I5FNixnR2Nrc7ocsy2mj+Tne0gEASpZpb5rVHiPsQcKPAfrlLcR4OOdC0v5kLp/sOibczsbgHMrnlPWk1OxlIAvkpIuaJA7Ut/pwqKE9LTQ/H2yvU6rMF4Z9/bz+9Ko6T9iDhB8DtPZy86rukbeUJsbMRRvVoY1EoUze2Umqkxyaj0DqVAxOaPb64U9F6Q6da2vzBQw1Xcnitr+uVT4zp3Jdn1AiIyDhx4CAzcq9Hk7lTBFfmYueyZINwczslcnOpERspDTJocE+sQg/J1o7MPLn7+Ibz61xfAyn6A21gaAcs0AXb/JJ89MpIOHHgEBQFjq/6i1EXC5JUTtTcdPMRSv8aLsARfVlJ7x2IpXlDYx9fvS/W7+n3vC4y744DF9ARvW+E7ZqLCYSXyCYNnl+GIVM80M+PxkNCT8m8BOhlQGBTCKZj57Gj006zOeHnnF2wXeLQAp8fqyII0Y+Px9/ddTwtw8t3qx8/sGi6qQKQHpnCgTTx+GZUeAhs1dngIQfE2ybvsITI70YmYtVzQ8JP9kF3w1Sodm1YvYyKgXRvSjX8Ph8v3/t84M41JC8PDZ6gpYvIKfc4Vk7HnTJD6XHa+2gUPdMhoQfE0T+H0bvIuX6yXy0mVwZis9PDvn8ZDupfL+dRnsV2MxIXt/aYWv/ROAPBNGji7qER7JZvGG/6u8eYSGShb4TmQkJPybwtn0rU11jW2g1cJiyf2YsZjmaPBTqnnUEg7JKA5gK4UcvIorHyOen3cRBd/SAbqq/jzYnb3I3Mnud0rNI+bs5yYkFP9p5BA/+e5NqW89wPTUSfjIbEn5M0IY9m8EmxHv/sTERzSGSgHZeYyp5Jc+Pi7R72cTGvfU445G38au3tynbUqGB0CbbFOE2UAu1mzjodtOYxZrafVabFjs6w6wvKIO/3mTnV1r9dXTOr9ICDwCg2UvRXpkMCT8miKI6rOSdaGwne3Cmom/2Cmd4zqEMz52ZD3ccwfT5H2HrwQYAwD8+2xslOKRC+GEYDT9Gmh+z0GztQi8dyjcs+6JW5Q+UbFOz6G7mKClN6P1fu/s4jjZnZnV7En50YGOIOtorRY0hkkqUw7Pme2b28lFtr07JrS98hi0HGnHn39cDANoEGhORRuC5D7/GnMWbE6YRtDL+GC3M2jqMhR/tQi+Zmg09k95Ln+zVRNklWfgR3E4XzZoAgFU7j+Ka59ZgwpMrUt0UR1BVdx3cLhcCsO/wTGQ+upqf8IOPRHuRNNyZYT4dovd9nSBnzhP/C5nFNh84gTfuOT/u7WECgtPxx2yFru33ydT8GAl2fLuSbWqWBHebadeyfTH8/rY6AECriVCdrjiWYX0+H/bt24ft27fj+PHj8WxTWsCke7srjUvOKAcAzBxRGe8mEUkiqqyJpgvkKIVNSfPTmWGTrt1Q6y0HGhPQmghO097UNRoLP9qxriVNQrkb2iK+R2mh+UmzvEOpwooDfjpjS/hpbm7GH//4R0ycOBGlpaUYOHAgzjjjDPTs2RMDBgzAHXfcgbVr15ofKANgIaNqVbD5wz735B4W9yTSFbPcTrmU5DArYL0gXSa7WDUNTSaaHK3ZK100P3xUZbK1rUZPPtvH+EzXfFkWfubNm4eBAwfiz3/+My666CIsXrwY1dXV2L59O9asWYNHHnkEfr8fl1xyCaZOnYqdO3cmst0Jh0VNsJXGm5sO4a8f7wZgvPLy5JBWINOxXNg0hSUOiMQjm2QVTEYB0GavHzMXrMLT725XtolMMVYwE9ajHZ6T6fOjZszA7spnvt3J1vyIBnu2JV1KgKSKTL9+yz4/q1evxooVKzBs2DDh92PGjMG3vvUtPPvss3jhhRfw4YcfYtCgQXFraLJhE54vEESL14+7Xtlg6Xd5lP0349EvbxH6v4cze/kDQcUMRnQugorsIxY2Wn0BlCT42f973T5s2t+ATfsbMHloRag9DhVRZhFq0Q7PqTN7DeldjM92h9wpeOfyZAcZiEyeaaIITDmZvvazLPz861//Uj6fe+65eOedd1BSUhK1X35+Pr7//e/Hp3UppKk9AFce8O7Ww7ZC+Tw5lAAv09EKrtHlLULP+OsjzRj6yDu4YWx/PDJjaLKaRyQJ5vOjV8errSOAknxPQtvwy7e+VD7HutA2E360Ds/Lvjgc2wl1aGz34bsvrsdJZUX45ZWhxbRWi8DLF/xXyQ51NzJ5ZvjcHzNZ5fPD+PTTT9HeHp3BuLGxEQ8++GDMjUonfIEgln+pHgSM1M5KxW8ye2Us2mrN7BVnz50947omL7z+oGIOJToXbNLVW8gk4x3nfVxYhmanigfRdQSDMjbsrcfm/Q3YejDaUfuTXdEh/bGy5utjWP31Mbz86V5dvyK9kP1kJzl8etkOwVZS/QCZr/mxJfxcddVVeOKJJyBJEurq6qK+b2lpwdNPPx23xqWSGcN7AwCK83NsOf5R0cvMx0xr5yEzV9bw9Lvb8dbmWuF3yXjHS/IjyvkTraGoJytJVkWIhLWXP92Dq/6wGjMWrBL602zYGx3SHyt80Wf2WXtmPY1LOtXTy3CXl5jJ9Ou3lednwIABeOONNyDLMkaMGIEePXpgxIgRGDFiBIYPH45Nmzahd+/eiWprUmETnD8o28rWnEs5YDKeKM0P8/1g5S3c0QPzsi8OK2kOiM7D797/Svc7UfZ3O3y66xj+vX4/fnLZ6ehaKK64PrCsCJv2hzJNx1poVCT8vPjJHsPfJCKLudcXcaRmWae1E6mefJdszY8I1rZMd/iNFf4ZybLsWChPFbaEn3nz5gEA8vLysGrVKhw8eBAbN25EdXU1lixZgmAwiCeffDIhDU027vAEJ9T6GDxjquqe+ehpfti7nSvQ/Hy4o46Enywj1nf82j99onx+6poRwn34rMz1MRbS7PAHsXLHEZzaqwsquxYAMI8cS8Q41sYLPzr1xvRyK5E7QfqQwz0kX0BGbk4nFn4YLS0tyMkJ/fTyyy+Pa4PSBU/4we451mrvd+Tzk/HwK9MQ4lB3nqNNVOE524iXdrfmaIvud7ygUK+YvZydp8nrxy0vfAYA2P3EZbr7FefnoCms7XbZzfBoAT4jcMQEpr6Xekq1tqh3M/kooe4pbUXq4evI+YNB5GZYtSxHrWWCT2fGFU7xLNICGA0HLBKIor0yF13Nj8bhmUevJAbReTHK82PHJGJkPmvnJvtXPjU2UYn4+eVD8fdvjYnabtS+Z649U/lsVCXeKWrhR2z2atXJLm1WmT4ZZJp5J1GoND8ZWOTZshSzd+9e9O/f3/KBDxw4gD59+jhqVDrgMTJ7Gf6OzF6ZjnZFrx2YRerdzHv1iVgx0vz4g7IyhphhlLiPF4yY76GdufeWcweqykMwGtp8aGjzCcOVexXnY3B5F+w43JwQH5s2TrDR05Dvr2/T+W1yNT+SFHr/pw6tQJf8HFw/pl/kyyx/6Xmn9Ews8mxZ83P22WfjjjvuwGeffaa7T0NDA/785z+jqqoKixcvjksDUwVb8bTYfNkiPj9Z/makiBc/2YNXPt2bkGNHfH7cUd+R4if7MFrg2MlEbKT50WZddkJeTvQw/9Q723HBUx9gx+HmqO/cLgnnD+oJIDHjmMjspT2LnrtBssxe7b4A2n0BDO9TCgC4ZnRf/PqaERg1oDuZvcLw15+Ji33Lmp8vv/wSjz/+OKZOnQqPx4PRo0ejsrIS+fn5qK+vxxdffIGtW7di9OjReOqppzBt2rREtjvhsKy9rQLNj9HKK5d8flLGsWYvHl66BQBw1Vl9kO+JFlKcoB3k8j2iNUO2D4XZh5FWxBcIWu5/ekkUAbFQbbe8hchB/2WDBYLbJSVUg91mwezVrdCDvYJ62e1xFH6+PtKMFq8fw/t2VW0PBGWc96sV8AWCimN4utR3Syd4wbxTm726d++OX//613jsscfw1ltv4aOPPsLu3bvR1taGsrIy3HjjjZgyZQqqqqoS2d6kweyZO+uiV0ZGsNpe5POTfPhQ4ETUAGLDX14OaX4IY61I3DQ/go5l1ZzGcLkk5Lgky6H5bldii/eqND8aH56iXDfOPaUMP556GgDgknkrVd/HU/i5+DcfAgDW/mQSehbnKdub2n1KVn82D/CyD4W6h1BpfjLQ7GXbczk/Px9XXXUVrrrqqkS0J20QWDYswWt+AkFZ5RGfaNjAEC+NR6bRzBVijDUHC492kMsTaH6yexjMTowEAzvmIiNBiX3Vp2sBDpwI+cE4SbKZm+OC36IJ3+1yKZrvhJi9fCKzV+g8Q/uU4i+3jg5tEwgXiTB77atvVQk//NjB6pvx47jTwrKdDV4wZ++CLMv4fH8DTisvRkFues9DcYlNO378OJ588kklD5BTVq5ciRkzZqCyshKSJGHp0qWq7x999FEMGTIERUVF6NatGyZNmoRPP/1UtY/X68U999yDsrIyFBUVYebMmdi/f7/ttnhc+rfGqPN3LYzU+jkRY1IyOwSCMs6Z+x5GP7Y8I+2v8YA3UcbDV4KhlLcIP3aRDwVFe2UffLZh7UQd0EygRpFhRlmLWb+6dFiFss2p8GMVt5RYs5dRkkN+ZBVFVbV1JH5sE2WgFpm9sv2NF9Vc+9e6/bji9x/jzhfXpahV1omL8PONb3wDRUVF+Mtf/gIA2LJlC37yk5/YPk5LSwtGjBiBBQsWCL8fPHgwFixYgM2bN2PVqlUYOHAgJk+ejCNHjij73HfffViyZAkWLVqEVatWobm5GdOnT0cgYG/F4FRj43G7FAHoeIxJyezQ7PXjRKsPzV6/rUKsnQl+0Iqn5icCU4ELBsJsHwmzEF4w0D5/9t3xlg5UPfIOLv/9x7rHMdL8sOPyGaBFGcbNsCMwud2SYlozEtqccKihDWt3R5x5tL6RZq418TR7MbTPTuSvKTJ7ZTv8go+5eSxaG/Il+2jn0ZS0yQ5xEX6amppw1113ITc39IJWVVXhrbfesn2cadOm4bHHHtM1qd1www2YNGkSTj75ZAwdOhRPP/00GhsbsWnTJgChaLPnn38ev/nNbzBp0iSMHDkSL730EjZv3ozly5fbaouRXV3s8BqhtCAk/DS2R4eYJgr+hU2Ev0smwL+M8bwHVgSbdL7je4+1Yv0egfcoERNmoe5AKPM3AGHRUO2+IlifLuJMCI40P3aEH5Xmx1nPbmz3YeWOI1Hv4Tf/ulaVwFAv2kuPNzcfwuf7TjhqEwA8+tpWfO+l9YaaYZHwI8p3lO0LHpHmp6xLns7e6UdchJ9evXrh4MGDqhWxqOp7POno6MCf/vQnlJaWYsSIUGr49evXw+fzYfLkycp+lZWVqKqqwurVq4XH8Xq9aGxsVP0DIkkORZg9YOYkl8xwd35FlA6JwFIBP54lIj8JP/7dOFad8yqdnR8nPLUCVz+7Bl/VNaW6KZ0Kvo9pnz6L4LISJWQU7cWEn8K8iHummcPzrNF9AQCTTu+lbBOZavVwuSJmMmaWssvNf/kUt7zwGf7y0S7V9m216j6oCD/h67TiT2OkRTNClmUsXL0b/9tSiy8O8cKo+umJhB9RpmtRjqRsQuTzk+5+PjxxEX7mzZuHW2+9FXV1dXj11VfxzW9+E0OGDInHoaN444030KVLF+Tn52PevHlYtmwZysrKAAC1tbXIzc1Ft27dVL8pLy9Hba24MvPcuXNRWlqq/OvXL5TEKsfA7NW9i7gIISMnLDglUwOjFn5SnwI+Fchx1Pzc+fd1qA6vMEWCzSRNHa80ln0UWIHMzsjWgw342+rdcfX1MsNoccO+483negKyseYn9P+iXF74MR62f355Ff508yj89rqRyjY7Pj85LpeivWaV5O3yebivvbpun+F+2lIyerLiyP5dHbWDhx8T+M9RZi+Bi4SLzF5R8N2WJQPOpFsTF+Fn8ODBePPNN/H0009jy5YtGD16NF5++eV4HDqKCy+8ENXV1Vi9ejWmTp2KWbNmoa6uzvA3RhVn58yZg4aGBuXfvn2hl9VI+CkwiabKSWCYqB68tidbhR/+ZYxV+Hn3i8O4QrPC5HuEVg2eCakNOnPuqct+twqPvLYVS6sPxHQcOxo8tc+P2OGZ7yd6wpJeX+WPWZgXGXNyDLTSQCjac/LQChRx2iK7Ds/di0ILvOMxBm3oFS5VvrfYJ4vzPeY7mcC/o0YCjKhN5OcnInID7nxxPYDMKv0RF+Hntttuw+9+9zsUFxfjzjvvxF133YXCwsJ4HDqKoqIinHrqqTjnnHPw/PPPIycnB88//zwAoKKiAh0dHaivr1f9pq6uDuXl4orbeXl5KCkpUf0DIkkORZitvJjglEzNDx8Cmg7F/1JDgnx+BNu0wnEmRNhZnWgymS8P6fvWWMGOqZp3Btb+ivUH3lyiZ0LS0/zwm3nNj5Pq2bZ8ftwR4ae+pQNz3/oSf/jgK9vnBMz7XMTsFfpbb+48s19XR+fnsZqIT9RmXojNpAk+kYistZl0Z+Ii/Nx5553o0qULXn/9dVx99dXo2rUrzj333Hgc2hRZluH1hqKbRo0aBY/Hg2XLlinfHzp0CFu2bMG4ceNsHddI82MWCZbIHBl68NqeeNW/afH6MfWZlXjif9vicrxEo/b5SUCSQ27Q0/aBzBB+Or9QbLRosYLecxRpTqwkOeR9fvQEAT2NHO9TUZhrXfMjwq7mp1s4uqy+1Yc/rtyFJ9/ejrom+36cHSZ9TntPtD4/S+8aj19dPUzlv+SUDp3oPP4pyrKM483R2i4KdY9GmN6Du03p7AcJOEhyKGLcuHEq4WLlypV47733bB+nubkZX30VWWHU1NSguroa3bt3R48ePfDLX/4SM2fORO/evXHs2DH84Q9/wP79+3HNNdcAAEpLS3H77bfj/vvvR48ePdC9e3c88MADGDZsGCZNmmSrLUYCjpFgxP82VT4/d764HrufuMz0N/vrW/HXj3fjm+MHom+3aE3dko0HsK22Cdtqm/DQtMT4cMUT/l1zcu/dLkn8O8Embf/IBJOSmQkiU+Hvvdm7aYae8CM6rHGoe2gD78xsZI5eueMIJgzuqdrGTy68CctJqLudtBtul4RuhdFmpp2Hm9GrON/Wec01P+E8PzqixJn9uuLMfl2xOQ7+avzzUjmrc6f+3ksb8PbWaP9QVai78sOYm5TRiIZKXngNBGVHfTVZxEXz09Cg7pgTJkzA119/bfs469atw8iRIzFyZMhRb/bs2Rg5ciR++tOfwu12Y9u2bbj66qsxePBgTJ8+HUeOHMFHH32EoUOHKseYN28errjiCsyaNQvjx49HYWEhXn/9dbhtpmzmH5rHLeEfd5yj/G2m9lRyZCQx5bcTU9ddr2zE86tqcMvz4mK1mabdjTXUvaJEPLArSQ65bdGan/QfCTNBO+UE/j2L1bSn129Eoc71Bv4wrE0dXL8wattbmw9FbZNVZq/I+OXEqVuvUKgIt0sSatCMrlePeJm94jEW8UJyh44JTCT4AJoMzxk2LiYKkcDK35vE5FqLH3HR/EyYMAEtLS0YPHgwqqqqkJ+fr+TescPEiRMNVWVWKsXn5+dj/vz5mD9/vu3z8/Cq5X99dxyGVBQrfxuFpvK/5TO3dviD8LilhNmLW7z2hR+WL2PX0Rbh93b8BNIBXviJ14unl+RNa3pIV80P/z6l91DkHF5gae2ILkRs61g644/ovf3Xuv2Ye9VwANETAet/fP8x0vyITAj8Nj6E2EnftjPs6CnP6ls6sONwE176ZA/uvuhU21ogIBQswi/UrGojT+PGX6fwwr/dhYDY7NVZ3yhrmFi9bBX3TQUxz27BYBA//OEPsX37dvz6179Wqr2/9tpr8WhfyuDV5zkuSZUnw2zwYb/9/YqQCe9osxdjHl+O+//1eQJaGuL/lmy2/ZuuAtU2D+8nkO72Wy3xMjkeb+mI5CDh3uxM8fnhb0NnKsHR0OrDhr2hwAZ+LdIao7+b3rpGdO/6d4+YirVfs4UP3y+MtCCi7sr3YT7Iwqgchh6FNvKv6C3Qjrf4cPWzq/H3NXvwg39U224DABTlqduhV9Vdi8ftwit3jA1/draA7NA1e5nfT1Woe0a59SYOs/Ek3bXhMQs/LpcLCxcuhNvtxhlnnIFZs2bhu9/9LgYOHBiH5qUOfnLLzXGpBoSAyUNlJrNdR1vw+b4TWLrxAE60+rB4gzgMd9kXh7FyxxHhd4kkX1CdnIevXp4JodxqzY/99ooGQV7Q5Qc9K8JPW0cAV/z+Y/zm3e222xIvjPKZZDKPvLYFV/1hNV75dK9KWxOrs7+e5ofvW6f26gIAaGzX1zIx7TA/ARhqfgTSD7+J1zw40fxcfmYf27+59dwBqr/rWzvQFL7mT2qO2T4ez8TTQv5NH+08ioZWH1c/T1+wGNCjCIC1xJEifCpNfOTzko0HMOHJFdhWqx8pKExy2IneJyeIrl8VdJLmc0Zc7Bpjx47VrceVqfA+P1onSnPNT+S2Hm/pUKn+tBNsQ5sPd/x9HW554bOkR+PUNhpHb/DarvYkFBSMFf7WNhtMTHbo8AeFym0rPj//rT6A6n0nMP99Z2HC8YCftNPcBG+LpdUHAQB//miXSsBriVnzI75J5w+KOCMzLUqTQfka1h/4+2+s+Qnt98amg1ixrQ5tHQHVWMF3NzOzu4gHp5yGX1xRheduOsvyb27WCD+807TTiZ/97uyB3ZVtP3t9q/LZSKzJU7JOBx1povl+wi9WFq3dh73HW/G9lzbo/lZdcDX0/070OjlCpPnh+2a6L5jjIvxs3rwZTz75JAYOHIgbbrgBc+fOxRtvvBGPQ6cMXiuizetjZlLRerjzKufGNvWkzGc4PSoIsUwUVpwm+dVOewaESfOXdMRBcVfRHdFLjKYViEUvejo4/Kk0P51wuO5VnKcahNtjFH60z8ztkvCjqafhqW8MV7axJKdef1DX14vdd/4902Yz5gnKQF1TO+5+ZSO+uXAtTv/p2/i0JlKPLVbNT77HjZvPGYCTe3ZRbT+rf1f8v8tOF/6mIFftErrnuHWnaSvtYXy+/4QlYYZfjDmZWGUTzXCNju8joE4iS0avENGm3iB8XN90Yp5NJnERfhYvXoy9e/di06ZNuPvuu9GjRw/bhUTTjdMqijFjRCXOH1SGPl0LVN/5LDo8AwAk9aS8VzOA8C9xnYkmxgi7VeitDB78YJGuPi08/CR4LE6CpNcXFK5yRWYv7QAea9h1PPB3QrMXf58Lct0qAS/W1SY7Vl6OC09+Yzg+mXMxvj/xVFVVdd75uDmc1l+vqju/2UzzU9+i1iT98s0vlc+qKJoYJhVtdvoHpwzBt88/WbhvoWbfWAqKMljL+eLQbpfEmb30f8ub4Z1E9ak1P/buoUjLkWl+kPFGe0+8/qDKJeR7L29I63sUl2iv8ePHY/369SgpKVFy/uzYsSMeh04ZkiRh/vUjhd+Z+fzwTn3N7X58wVV0rjnWgmF9S5W/+ZfwRJuzOjr+QNC2g6+VKItY8+YkHa6JToQ10XsqqvMDRAs/shyd18KuQJoIeM1DMuteJRKvJq9PA/fexCqkK1XU83Iwa3Q/3f0Kc91o7Qigqd2H7kW5utFefJ8y8vmR5WjNHLsWSVL7wsSSQkMb5GCkDSzMS1ykDq9Zd3OLRaM3JhQtG7pXXl8QsBlsFoxhfBhaWRL5I/WvdVqgHS+9/qBqsfXloUYcafKil04KkVQTk/DzxhtvYNu2bWhpacHBgwdRWVmpfHfNNdfg888TF92UCipK8lHb2I7JQysM9+MTkt3zj42q73ZrVKv8S9jk0E/FyWrXqzOp86ir9qb/xMm3N172Zq8vKJwgRFodX0AG70OeDgm+eAfeTiL7qAT3HJcL3/7bOuXvWIUfUWZm0T5d8nLCwo/4nVWEH26bFZ8fHqVEhmTP59AIbY0s5kQsIhGpLpgmII/T/HjckiUHGkkKRd22+4KO/CNVmmwbmqOBPQrFtb1st6BzEa35CUQJ5rFGXyaSmISfoUOHYu/evairq8P111+Pffv2oW/fvqisrLSdVDATWDZ7AvbXt+H03iWG+3XJ07+tDRrtDu8z0OhQ82M3x4wsy9hywDxjqrpcRPqbvfhX0YlpQCTkeHV8fkRanQ5/UGUS4Ve0RsV1Ewmv7XHiKJuO8BOfJAEHTrQpf8cqpCsFSQ3mfX9ARnF+DuqavGgMOz2L/B9C2/WjvfI9LsWX5EiTN7q6uJ8JP+rtsRb5vG3cQCxcvRsLv3l2lEmfJ5H9ldf8uCRJeffMzpmX4w4LPw7MXtwN3nzAeg04rfDJoj7T2KKTFLQyeLsv2gLhdEGfDBwJP6tWrUJxcTFGjBiB73//+6iqqsKECRMAAAcOHEBNTQ2qqqri2tB0oDjfg9N7mw88eQZ1dLThf/yA6LSj2B0Ilmw8gNn/VGvlgkE5KpxTFTqeYZofJ2GWosHMH5CF20X1lf69YT9uP+8k5W8+K/CGvfUYNaB71G8SDT/gG4VmZxK886k2c3GsySZZHxJldGYEZFnR7uqZsgICs5fW1NwlLwftvpBv2ro99bolMphA8PsbzsKfPtqFxy6PbWx9dOZQPDpzqPmOCYBdYreiiA9V9b4TmD68NwBzixLLPeakVAs/L/9nw37Lv9N2BcrwzFB32He31kZpXrWL/XTCkV7znnvuwfr165W/meCzY8cOdOnSBeeddx66du0alwZmIobCj0Yy/vF/IpmwGw1CZ42wO+D/8cNd0ccQCAvq6Ij0F374ycMXp/YGgkFhDhJRbckXVtWo/ua1Q88J7nmiCQRlHG6MRL0t2XgA+463prUTohWWf3lY+fyFpop7vByeRXldGH4uc21bR7RjMxARXHhtonaRUqBJPKgtURMxe4X+vmx4b/z3rvHo3yO6Dl+mUVqgXkT+2mIurEi4u31zitMkn07zCnUWttc24S8f7YoSbLRD7Nz/bYvS/KRzMWVHws/27dtxwQUXRG1fsWIFrr/++pgblekYVVDWalC+PhLxATLKG2KE3Q4mqgPGBubjLR3YG15NZ1LCKkAjrDnR/Ai28Yfhh0CR5ke7ic9Emwrf528uXIsrfv+xatv5T67AK5/tTX5j4sjP3/hC97t4OTwbOat7/Zzwo6v5UdesAoAFK75S9csiTSi5dvHjt+B/lGnw9+OyYb2Vz0ybZ3apfK4fuzh1+I/S/Dg6SuL4qq4JP/r358q4bcSv3t6G2/76ma0AlinPrMRjb36JP61UL+BEwqR2kZzOUcKOhJ+SkhIcP348avv555+Pzz4TF8nMJoyEH6MweW0OIKuwgYAfsI1W9yInNCZAnf3L5Zjw1AocbfaqOveXh6zbyJONLMt4e0utSstRc7TFMGOrVfzBoKWq7kB0Pihee5CKCUwva/jDS7ckuSXJw44jqwg2VhuZvbz+IArCDrvM7KV93yJJDtW/ffnTiOCp7UN6Zu/OJPwwJAkYXC6q12Xu8wM4FH4cKjyN7n86aFGvfnYN/rluP+57daPpvs9+8DU+2H4EH3911PZ5Vn+t/o3ofmrNkR0JcpcIBGUs/LgGWw+a+67q4Uj4mTlzJn79619HH8zlQkdH8hL1pStVlaW632k1P2dwztMsZ4hd2EBgZG7jaRMUf/T6gjjS5FVWBHuOtag698P/3Rr1m3Th1bX78N2X1mPBikgm5bW76zH1mY9wpMl6skNxuvbIRqMkhwAwgcsCHDpg5GM6mSoywILpmGSYvbz+gJIvRxF+NPuwAAGtEz2/iND2t6/qmoXnczoupCO8sOAkGpJFiRkljNTDqdlL64SdisAFI5hfzY7D4v4jwknqEq1wLhL8jAJ64sl/NuzHo69/gct+t8rxMRwJP48//jg++ugjTJo0Sane3t7ejl/96lcYPny4ya87P4PKi3W1P9qoKd7u71RF2CEQfozecz2z11EuK/JtL6zF8i8OR+2XKGRZdmxaW7xRXDMNAHYf08/aagV/QBZGgYlr/aj34wdbszpqRHzwBeSY/AzYpGCUoNLri0T16YXyivL8AGrhTNurfvfeTputTQ9kWcb3XlqP2f+stvwbCeJ7nA5mr1vOHYDB5ZFM2EYm6zRQ/CiU5BvHL6nKpTiww2sFG3Y4ft7hIy+BxJm9ttc2xXwMR8JPWVkZ1qxZg9zcXJx55pkoKChAcXExXn/9dTz11FMxN6ozcP6pZcLt2lBcvkM6XZlEhB9rE6xoDOjwB1UDeZPXj9c+P+ioPXbZcbgJJ815C5f//mNHKwWjgdBelFr0virNj4lKvl2j8uXvcyaUB0klXn8AP3t9Kz7aGXuB31jqurHoOCNTh9cfREk43JxNCHpV3bXw7386mEziwf76NvxvSy0WbzhgmMhRS44gn4DZlJwos9e1XELLs/p3Q+/SSAqA6FD3CJn0BPm+58QHUTs2s7Hx4elnGJwzMcKPVSuHEY7z/AwYMABvvfUW9u3bh40bN8Lj8WDs2LHo3j354bzpiJ5K10jd6DScXDF7cYnD7B7J6w/EXBHbKZPnrQQAbD3YiP9tOYTPao7jzgknGyZgYxw80WaYdj/WzNT+oDjUnccVLmGiFXBURS0dhOYmCiOftFTx1493K/92P3FZTMdqavejR5c8R79l2gGz7NwsVLu+RWzmF9X2Apz5JKXj8wIiuav4gqdM48UyMUf9hvvscWL2SlC0V48ukdD7nHAmaUamhLqbjXS8IGLk06aHdixlt1MbuQcAA3oUYs+x1oSZvfI9sWvSY36r+vXrh5kzZ2LatGkk+HCIooGAaEmY706xa36cP06vP4hWgS8QY8LgnrrfxZMfLKrGy5/uxa0vWHOc37j3hOH3dpIzCn1+uBdeb7xgK0Ot8GhWSDFV5KfhZKrn7+IEpykjAC7CSiD8PHvjWehVnIc/3zIa3cO1vnYdbQm901E5esQh8EY+SdrSE4w/3zLaYuvjj1ESRHavfsiZu5hwx0+uInOTJElCAdPU7BWe9J743zbb0bHGwk9EWM5xSSptj5GPTzpp78yawgsiTsxeWuGH3U/R7WE+cYmqDBCPBUH6jYKdBD3Nj5F2x6mWgq2CeLOX3Zfyrc2HDFORJyLVvRG7LYRtAubqWzv3VLSnP2heC50NJO1RamHuOElOEmnkJNvY7k+7Wm28GSNWB9+6RutO7lqY2abAE93fpw3rjc9+MgljTuqu+PxU7zuBS3/7UZRfmCjJIaBe/Gi/0xYSZZzZr6udS4grf799DK4Z1Vf4HbvGXVy6DlFJDlWEK3fNHsEC0cy0vGFPPYCQdm/Yo+8aN16DnvCz7IcTUMz5y+S4XKpWaMcYszamilqTwtgdBn3PCgHNj9ifIhNxSVgblAyzl1MBlISfBKGn+dFqAOJRPDQemp+/r9ljKPyka74G7QsZ9X2Mk3wgKCsvl96QN6xPKLqvPUrzE/mc7CSR/63WdwIH4CjUNZHw0Tsvf7JHuE9juw9XP7va9Fhrdh1z3A6mvdNWP9fCpzXYKdBaiZIcAurVt/Y7PT+WfIEglixO6dkFT10zAj2Lo82IojGBTbD88CcS/CU4i/bSOtTamfj0lK+DyotVz9utMXsZhrpbPntyMHKan7N4s/LZybioLegdVPzjovdlmtGWBEUq8pofJ/5fAAk/CUMvWkTrFMt3J7OJXI94+PwAMDR7Jcp2GytmGpWXPt1reYAU7bfjMBdVoHmkr909Hg9MHow7zj8ZgLHPjz8QhCzLWPbFYew7bk2rFQsfbDd2HE6Hoqs8/KqUH8we+s8m3PSXTxEMyvjLRzVYH175a7n9vJPw88tDJRv09jFDlmX8Y20oD09hrrE7ZG6O+v5FOTyHZ1rtHCPS/LC5VW8QtxrIkEgaWqNNTKIJ9LxfrcAbmw6qzF78O8r/QujwbLNb2llUGI2vhVzUbUgjxZm9tDtzG1Jt9dJGyD69bIdwv11HmvH+trrI7xyY4aM0P8qn6Id2Sq+Qv+beBI11vEDqdIFLwk+C0E4u37kgNEEa2amdKlfsRnvpYeTwnK6aH7N2rdxxBB/tdK7l+Oe6/bpRIsP7dsXdFw1SQky1kS4q4Sco490vDuOOv6/D+U+ucNweK2yrbcQykzQFJTEWx4w3/D3mfUEWrd2HVV8dxeYDDWg1WEW6XRLGnRKKsNxe2+RoQFz99THFh8zMoTLXpHCzMilrJgyRzw8zKYsipe696FTD88QLVqxZz8QmareeP8fdr2xU+cmIErtKkliTalv4sWFONloE8ZqffI/LUPOTTg7PVoU/bXoTK+/HvuOteH9bZBzR8/kRrfMHdA8JP/Wticn7x5/TqVadhJ8Eoc32e+XIPgAEWVy5F9Jp1e2Iz4+1PD96tBqEqcaaPC5RWOn4eyzm+jE7kp6tPz9XXOpAZfYKyFgVgxBmlcZ2H6Y+85HpfumWNZh3imXCDz/YmmlFXZKEk8qK4HFLaPMFcKihzXB/ETs5LV9hrpnZS6P50Xzv13F49vmjtSBM+BH15a6FuVHbEsGfbxmF715wCp67aZTl3xhpD3jBn19UmaX20I6bZhhlzOdp9wVwoD7UJyad3gvlJWozHp9vLd/jVr3pRq+KuUdgYrEaJBOtmTT/3flPrsC3Fq5T/o4WfkL/F40lbEy0Og8db+nANc+txqtrrZXe4XMOOTWtkfCTILSRDMXhlbZR5fZU+vwAxpofJ2avdl8A33lxHf61bp/uPrFGS1hJjNirJD+mc5jBEhhG5/lRa36S4fdzrDkzM6zzE+kT/9uGxnafrT7ndoXeOUWQcOBg7uHeH7N3yaP5XtvWQFDGwRNtxkkOw18aRa7oRYDFm77dCvHQtCGoKLX+rhjdY77v1wmyrEuQhBNjNxNh78Epp1luA89dL2/A794PZYB3uyQ8+Y0Rqu+jhB8jzY+lMyYHq0OKVkhy5POjfWBM8yPovszsafUsT72zDWt31+PH/9lsvjOAx9/apnx+9DVn1QdI+EkQWrMXi+ToCARVHY/vHE7nxl1HQ5qNWMP/DH1+HGh+XlyzB+9sPYwH/71Jd59YHZKthFJa9/kx/l5vBcgcUrUOz6por2AQdSbRGPHAKDMxT6pXrFq0gvfwR99VOwebNJcNtpLNQZeHj2gU+aPo7QtE551Z/mUdxj3xvqrkCqB1eA4fy+C9FeVQSReYMD/xtOg0GLxChi8xox7vop9S9yJj4ef2805St8HiuPQe5+/ikiRcMLgnnrtpFN6+73wAQKEn4uNVkOtWaXl1YlcAJM7n53BjO/65bp9p0kirmh/tMOtkIaY9FTuESCOujJUWT8MX+LbLuw4rEZDwkyC0YZy8MKQX7upUEHhj0yEA6lwpRpNbcV7oRX/uprNU2+Md7aVNhy4iVm2IFce9RGtcCnTMXmqHZ1k1ACcKq/k7Uu2oqaVEMMmLtCR6MKFHGXMdXCAvhJgl4NMKLFqtnx6qBYYsPhZPlzzHeWgTDhsTRNoavu8faRZofnSSIPbrrp9XCIjWyPkcvNvsHZlaVYEhFSFfJz5YJD9H7fOjndyTUdvr+j9/gh/9exMu/PUHeGOTfqZ92eKwrBWS9h1vjVnrrpfnZ9wpPSLvoUXp58uDyS+cTcJPgtCavXhbtt5kHKsWZINJwj8G67Sn9y7BT7nU5Gz1XSEwEzkxe4km4nZfQKUBSYbmx+o5TCdYne3M7OUPyth1hBNAU5Dk0Gr9onRD1L944WfecnEUC0N538L/c3IX+InVbHrT+qZYzTgsWhAY5dAqMPE9SgVssmO+FqLxjDeRHOHed/4VE2ktLhjcy+TcksoU6KQeoNBHhXN4ztOYvaIyPNs+o31Y7qRDDe24+5WNui4JljU/mmf01Dvb8YcPvtbd34pgxPv83H3hqch1u/Db687E87eerdwzq/JVs4HVIVGQ8JMgtKs53hzBv7C8ZBzPxHN6na6x3YeW8IvkkiSMD9cg61GUix11IYfP2ZcMjvqdk0ydohTqF//mQ4x5/D3FCTlmzU+4XUaZaK223WlL+Anqjx/uUj6nIsmh0yzhqeSLg434tOZ41HZeIPr4q2NoMRggmfAT0fzYbwf/zpr1S61GxqrmJygDz4YnHXYGIyffXsWJ9VdzAtMct3hD44hI4Obvv0jzA4jfNzOzFwAsn32B8tnJuCRSjpYWePCLK6rw2BVV6JKXozZ7GWZ4tn16R+gtPkXvu0hwEfXnp97Zrns+vbQLTy/boUSSypzm54Epp2Hrz6fg8jP7hMdDe+Znq+Z6I2RZxp9W6gt0Wkj4SRC9NEnBeE2Q3gvrNM8P46IhxqsmAJjDOZS5XZIy4B9r6cC+46FoiG5FuVj//yapfudE8yMa01mSsve+DJmAYtVUsAi5Ef1KlW09NAOo0yg6LXrqbl5j0J2rEWSU5DBRafGta7kScnpHTJ8vjk7TmlqNBEiXxufHiSjLCyFm72JZF3Ufs1PQ81dvh5w19RyeR/QtxW3jBuLpWSNsOSAnkle+PVb5zEyUzYrmR/2cyjR11dQ+PzK3n7NItrIuecpvnWhUe+rUfbv5nAG46ZwBoT9UDs/q/VIRKKnXH0Wvu0jQseu2oFeL8Hfv7cQdfw9FgGkzPPPvT0TzY+09NKulZ4UPdhzB7977ynzHMCT8JIiTe3ZR/S1JkuJHwL+wsfr88MLDQ9OGmO7/5uZDyme3SxL6NhTmuqMKQzpxeDbyP2ErFqMVtpX7wWz+fFK6X15ZhdUPXYTzB5WZnkNFeDeWLM8qvFBUyWmg+FWZdvBZ/bXzLMRG6Gl+ykvyLK2qU4He44mKoDIYSNm4a1fdroc2m60WrSDMVsp2JkY9h+drRvfDozOH4qqzxGUlUsGQcB4gACjKZZqfkPDDuvbZA7sBAI5qND1HRNFeEnDhab3wnQknK9vslNBhk6UTjeopvbqY7qMOdTfK8JyYVYR2XNYTXkTChWihqnef9My1VoRKo9pedpcgehUR7FDbYC+ghISfBHFKz0hFchYNxB6wKuNpjMIPL5R0tRAZUsyp6yVJ7GwpmiQ7/EHb2gpeXaz9LfvT6JqtrKaZCZHPy1Kc70Fl1wIlkZ/dAfL8QT1x2bDeUduN5rXLz6wEoC7TwF+z9lpu/Munqrwy8UJPRv3+xFOx/v9NQmVYk5Bu0V4itKp3K5of9n8nVxdLORL2fO2sX9n5tE686ZaDCVC/X6x5T7y9DWu+PoYPd4S0uHrmO75WG3+PJUnCnEtPj5wjz7p/ExtLnQRiFFlwIucFHqPaXonSoI49qYfqb73rjPjdRLaZ+c/xNLaJTclmmk9ZliPCjzDaK/weWrw/asuI8TMVzUNtHQHblepJ+EkQfIjqnRNOARCJ+NJ7uE5eZF49qS5sKt6fj6pxSxLyBJlq+3cvFP7W7oTAd8baxnYMfOhN5e+n3t0OWZaVFUZejkvR1DC00VMimAmR97th9mNldWjVFBT+v6T8R41RSQjm9MxP2PxpRTb0Lw7FP8JBT5j0BYKQJCkpkSrxQvs+vPa5ftQLm3jZ1TnxfeJ/Y+X3QyqKlc/889WafczQCg1xsADEnbwcF6YMLcc5J3dH326h8eFIkxfX//kT5R3USw8giiIV9cMik5Iiqn3DgpJR3jTd31pwIjfS/CTjFdK+x3quEqyf5rhdyngnEnT03Asa2sR5wcwUP15/UBkv49FfeZ8fOyZkxhmPvI3FG/fb+g0JPwmCf2FYx/MIMrnyXbK1I2BbAGICgtslWarXxO/D+/zw6K2M7Pr98IPEuXPfjzrWW5trlZc8xyWpKisDFjU/4bc0P0cdrQFErjVeESFGIclKrh+uzUGV5ie6DXYGe6voTdrawdRobv9v9QFMfGoFttUmP/yUx6i/XX5mpcqvjt3/WMxe/E+saGH/eHMkGzIzH0iShOnDo7WG35t4iuB8oXN8oinEajVdQTKRJAl/vHk0Ft15rtCXDwBydcYfqxl4i2xofvqFBbB99fZrR1mJoFMnOdTfL1H6U63mRW8M40tMMLOh6L3Ra6de7S0zzU9rRyDi8yO4QXbNXi6V8GOm+RFv+2RXdNCE4Tlt7U04gnUkJt0aCThWcuPw7DoaCq3urXGM1DNr8NoY3g+J8TAX+v6760fitPLI6tauYGamZXjh4xpFEHS7JBTnqc121sxeTLCUcNVZfXDuyT2UKuvM1+DVtfoZpnn46IWTyoqivjfySWACl1r4iXzvFVxLXgKqdetN2lEO1wbH+MGiauw+1or7FlXHr2EGiITKwlw3turk/vhkzsX47XUjMe/aM5VtkVBle+p2FTZN0AN6FGHsSd0BaDWwgoKdmr+DQVlpo1Yzko5mLx69Mi96Zq/QRBm6WKO7qqdxFtEj7PBsdbzkzf1WxhWXyuyVnOfR1hHAi2t2o7ahPUpTo2e24p2O2Xsk0jLrLYq+PCQ2vZsForR2+A1re0XiDqy9iPz7ZpY2Il4CJwk/SSBK86Py+VE/SrvCD3PyOqmsyJI6lpewQ9oidRf41viByueZIyrx9n3nK8e1q/kxe4HW76lXBiK3UPNjfj5e5f70rDPxjzvPUdS/rKApy4Bth+9dEL1SNxLm8gUDj8rnR/BCv/yJtTo2dtCu2FjSuEmnlwOwp7I/3uKsVEZTuw9/X7PbckbrvHAfXHDDSGVba0dAiYrSUlIQ6ie8nwAz+SqaHwdDJD9BWPW/U4Ref8TnRyQEaO979f4TuvNCGip+VOj5puoJP/6gHDV585f4+JXDcP6gMjx2xTDLbcixWcaEL0cyvG9X0/3VZi/9/ez6QcqyjM/3nRDm7fnZ61vx8H+34u5XNkQtVszMXrzwI9T86DRTL6TdrP+HfEDZXyKfn/B5DY8SgV9YsxQKiYaEnySgmHYE0V5a9EIM9WA5e6yaUHjNj8hBLNq+LSmDmt2ILyu+Nn9bvTvUFpdLqX/GeGb5TlMBit1LUZ6ICwVp942I+PxIKMh1447zT7L8W5Hmhx9ARIPX21trbbXPCvz9Ki3wYNkPL8CqH1+I0zj/FMDaoK03MJrxyH+34qf/3Yrr/vSJpf2ZwDasTynusVDFnGngeK2lYvYK/+3I7MVrfiwegGl5eEFdKPxoJgi+v/7fpeoozUzV/BhFEyqTveC23jC2P168faytsH7WB6xqo5mQ8ModY635ZHGXaOTzY7ebLdl4AJf//mOc/tO3o75bFNZQr9tTH6Wp0TN7sTFG4s1eIp8fnf6st6A16/9ef9BY82NTA8uPlX9auctgz/ilCSHhJwlEm730H57diK/WsD1dGymh1z/41bLVMTZPGWjstc2Kr80/14Wc1HJckjKBMZZ/eRhLqw+YnEN9b3muH9Nf+bzDQmSV9p7xDuRm5Ak0P1Ym0HgmttQe77ZxA5HvcSsOqoC9FZnVrMVaWBkPqxo31maXJOGKkX1M92erfjengmBmr1jkBv6e3HPRIEu/iZgamM+P2Iyn7Z5ul6QM4mM0kT1pLvvotq8kP3oBxibkFo2mI9ZrZIKv1QUZWxSUWyxyzAt42kWinvBnhYXhxR5gPCZpxwW96+SzLLN+Z8c9Qe8dt6P5EQrrNjSwzyzfoTL9/tdkzCezVwZhbPZS72s3aRcbVAo1xfj0cGvMXgDQs9h4JeQxUKcaYecldLsk4YC4aX+DpXOIIk145+7J81Zabgtrh1llb558kebHgrB4rEWc/dYpvMAl0qLYGbidJLYE7CcsYytIt8vetJKjMnsxzY9znx/WjhF9S4U+XyLYeU+0+JTzC+uCaTo3PwaIBKN0Rs/820sgWDAnZrZIi1eKBdFYaoThRC2A383oedjtZ/wkX2OwONAKH3rXKXPaFyOHZ9uaHzPhJxC0lufHwv15ZvlO1d9KoskEk1bCz8qVKzFjxgxUVlZCkiQsXbpU+c7n8+HHP/4xhg0bhqKiIlRWVuKWW27BwYPq8Fev14t77rkHZWVlKCoqwsyZM7F/v70QuHijaH5YqLuBgONU86M1e+kdReXzE+61n8y5GN+94BQ8f+to4W/sqpgZXpvCj+hFaWw39oEKKIJl9BtoN3GWdmC245AcEX7saX4abfp4mcG0c0Mqig0rkycyw7PdyZs9Q7dLsmXy4YVbVm4iFp8fdk+Myk1o2RZ2GH11XcSpnq8TxZAA3HtxRJvkCwRVZlaedDd7iR7v+YPKUNk1WvhhyUejND8xVsjKcWj2sto1+d20zyOWx8NHvmk1hHxAhVZYMcvzw0fuCoUfndv08qd7hQ7gZvOQ12es+bGb54fHbPyI19iVVsJPS0sLRowYgQULFkR919raig0bNuDhhx/Ghg0bsHjxYuzYsQMzZ85U7XffffdhyZIlWLRoEVatWoXm5mZMnz4dgUBynKhEsH4rTHIIbSe392SZmSVPU4lYD141zQQht0vCQ9OG4OKwU6wWT46kOpdV7GgOAkHxdGUmHLAMzyJBRxv6/+N/b8LHXx213CZ+MHrqG8MN983TmD8AscO31i+iQSfJmBOOt3Tg1hc+A6A/gCRjXrVTpyeULC302SWJtX9WztMl3K9j8/nRX8nqEZWrSRJXqJekUM08VjTYF4hEe2nPl+aKH6HY8uOpQ4TaCTYhbwvfp3hNXLkmOdO0BA0mahFWQ93tyti8H6RHM2bxiy27Ds+SSbSXUTN/997OqG1mea46AoG4ZnjmMY/2ik8nin+ikRiYNm0apk2bJvyutLQUy5YtU22bP38+xowZg71796J///5oaGjA888/jxdffBGTJoVqU7300kvo168fli9fjilTpkQd1+v1wuuNmB4aG+Of2+TcU0I2fTZYqwqbap6jXc1PJFRc/SLpOYUx/49uhebZoBlG6lQj7Ox/4ESbcGDUy0PB8Ctmr+g3ULuCf3XdPry6bh92P3GZ8FjaySiPW8FfM7qfYTusan7cLgn/d+kQPP5WKJLJTLNlh9e5JIDm2pfoth1r9salBIYdzQ/f3e1qfvh5L6L5Ca84LR8lgp4mxi6ilAjsuroWelDb2A5/MKg7iKd7IkrRM6rqU4o9x6LfVWbaeWjxZlzH+eDF7vPDxiTzJy3LspIPzep5VT4/mv4cS9N5v0atBSAvx40mhBZDbOGU63ahIxA00PwIzF42HJ4BYO3u6Pw4Vnx+jARKq7W9ROcxC/rplJofuzQ0NECSJHTt2hUAsH79evh8PkyePFnZp7KyElVVVVi9erXwGHPnzkVpaanyr18/40nODh8/dBGeu2kUZoSTnkXMXvpPz67PT1ARfqz+IrT/N8dbj2RyGu2lfWGHaCKOolsWfV9OtJpofsLnEE04sVYKtufzE0lyWN/SgZkLVuH5VTXCNt054RRFA+ckQ60efKVxvQFCTzPy1uZDGPXY8ij7uxPs3Hd+8LOSnv7v3xqjfOZXiFFmXwcjpJ4mxgiW54chQWwuZYf0cOYavfPZ6XcpQef+WBm74mVtVULdLZzzZ69/oXx2pPkx8vmxeUVnD4j0F+3ikH/ubOHEtuldpyjPj3DRadBMkdbcTPMT0i4ZaX6s3WeRUOc0ytQuaf6W6dPe3o6HHnoIN9xwA0pKQkX3amtrkZubi27duqn2LS8vR22tOKx4zpw5aGhoUP7t22ctIZ4V+nQtwNSqCmUlF3HS4zQ/mt/c9te1trQ/7CWJ0vzo7K8MuJbPEHkBY9X8jOzf1XB/YeZOk3OwFV2+IGurHd8N/lzseQ3qZSys8bDIsA5/EM99+DU27W8Q5ilibRrWtzR0zjg633ThTJqbD4gdxfW0Cj98tRoA8FuBCtwu9jQ/nOOvy1zw6NMtUjj29N4lOLVXF0wY3FOZoNhr4OSuGqnx9XjiarU5VJKACYN64mpNUVJ2zEiJm0gLtRNFYQIyf8cTPQFC+74bOY3HqtuyY/biI6wcOTwL0n8wYnl912iKG6u0QmGNFtM++3Q0XHyeH9H8ot1PhFZr3u4LYMlG44ir1o6ARc2P4WGEz89JeQsnZKTw4/P5cN111yEYDOIPf/iD6f6yLOsO+nl5eSgpKVH9SxQRs5dxj/jSRs2nAKf5sfJeO1ndGq4oDNBqik7paVxNWSQImAmCTMDIF4SlWyn3oW6A+s9hfUvx2+vOxH++N870p7zmR1TLiKGNSoona2usp3fX3tV4rrb4unZmk5NK82PB7MX7SXjcLrx73wT87ZtnK9tiifZyYvYSRUq6XRJ+M2sEzuAqoUcvgPR1BtqUD+mG3t3R+qn8+poRUfvES9i3Y/bisS6XJ8bsxbeWF8oAdWqNw03t4W3GWvcgN57n5ugLhOy84sAQ9bYn396Ol0wSsM5ZvFkpWCvO82MNkS+T2ViUtWYvn8+HWbNmoaamBsuWLVMJKxUVFejo6EB9fb3qN3V1dSgvFzvzJhMlQoFTYYoGAzsFRPkcKTx6HURWVJXWX2FFq2HTaVwrLPXpWmCYxG7W2f1QoImUMRO4WPI0Ub0eu9FeDP7OXH5mH4wa0E13Xwa7R+3+oKHmQ6uNimfU1V8EZjYtdhyCnWogeI2ZWZZo3i/KisOzVqB1udTFWiMfnZi9wu+SjW6j7a+84CTy52KTz6GGNqX8SrTZy3p+qVSgJ6BqJ12jcjCxyv5WzV7a8dXquMfvZpjh2dLR9NvDw48bbLeTe4a0Z+a1vSRlvOsQCBRsP5E2XBsV+trnxlofRmRsdm4WFJu9SPMTBRN8du7cieXLl6NHD3VysFGjRsHj8agcow8dOoQtW7Zg3Djz1Xui8SiFNvlor2icmL1yXJKlFauTydap5kcrwed5XDirv1iQ+Nb4k9CrOB+fPzIZN4yNOEaanZOpSEWrZWG+FQNiiSJg5xfV8OJh0UGxhGTHhI1bUmihAKQIXsXebFLUMqjR/Jj1YTN/otiivdgxrN8kt0uKEoAY++vblM/sPrAJ6rE3v1S+006uopDxdEJPGNCWjfDkSHjhtlD6DDaxx6u3eyyavbRDqZNQ92izl7VjiOCbM0kTXasd93sV5ynZqPWivfg8Px6D8H+9OnJA9Dhp990R3lOLZi9+fL/l3AEALGh+4tSL0kr4aW5uRnV1NaqrqwEANTU1qK6uxt69e+H3+/GNb3wD69atw8svv4xAIIDa2lrU1taioyO0uiwtLcXtt9+O+++/H++99x42btyIm266CcOGDVOiv1IJG/jMX1jrDzfi8KzpgbqanxC2zF5xivaSZf3zPjz99NC5clyqGl8dgaDhaokJP6IJqLwk31HYsJPBjUV7tXQEhHV79Ehkvh3j85qf2GnhVX4QN6vorXV4NnteRrmLgFijvez7/ABAEedorvfbusaQlkckkPPCVtdCT1SZl3RDT3tyZr+uuOmcyMLF43bh5LKQqdtIQ+YEq2OStp9b9UeznuTQXk/jd9f+VjvuF+XlRKoC6Gi41Bmew/sKa3uFdhxcHu16oNWQ25l/2Lm1KOZnk9/ycyETBrMy2mvdunUYOXIkRo4cCQCYPXs2Ro4ciZ/+9KfYv38/XnvtNezfvx9nnnkmevfurfzjI7nmzZuHK664ArNmzcL48eNRWFiI119/HW536lXJkdpe/BsQvZ8dIYMdy6WTIVmLk9WtUf4II7R26qZ2v0H+mcj2W88dqBTkBIxXPW0Gwk++x40vfj5VNSAbEctLxQtsG/bWG+zpjBfX7MYv3/wiZp8JO1OO1ey5Ub/j+reZ5kdl9nJJwgbyUTBmflzsW7OacCLY/GI31Lwoz3xsaWgLLdDMip4O61Nq69ypwOj2XDSkl/I51+2Kynwer4mLCcFrd9dj8Qb9JLbabmD12fJjsDbaS+XwbOloEfj9tVG/WneHwly3kl1f1+GZq+2laH4EfZ9tGdSrGG/ccx5+w/ljabWpdq9JGO2laH6Mj8auuUdRrjBXWiJJq7CCiRMnGt4sKwN/fn4+5s+fj/nz58ezaXGBhSI3m4Q32/F2Z53fanixk9VtronTnR5aIe7CIb2wRScKiaeyawGW/fACDHn4beW8onpJvkAkQV6ejukh3+NG/+6Fwu/0cLIqLczNgcctwReQTSd8wH4G1If/uxVA6N7YSVOgh5XTHmqwVpVdCy/QmFVo/mSX2klbdO97FOXiYLgt2sRwUSjmRPtEHJ7twQveer9tDCez1NNcPXn1cDy38mv8/PIqm2dPPtqhZurQCuUzn3LA43Yp5mB/UFat8uNV2wsAZv/zc1ylia5jaE0kVjXBvMmyKY65uPg5TKuh0QrsRXk5XO4e8XvEa36MzF68kFTVpxS13Ltdvf8EttU2YkhFibAdZogW64r52eJvPW4XVxzazOwVH9JK89PZ6VEUst/y9ZxED9LK5MlgNtwoh2eTLmJn7HEc7aXZv7TAY3nQ41fIeudt44REPb8LAOhVbM2HwolJkGfyGaFJwIrQYHVw0PKz17/AFwfF0YCnlZuH5tsVuj7YXme5bQy+ppmZ2evef2xU/S2anPiIKquan1gyPNs1lfKCt55moSl8HzyCg0sIOfu/f/9EyzXFUgkvoF4zqi9+f+NZyt+8CTA3x6Uq9RHPEGZDZ2oObT+wGurOjyeHTui/z3b7Gb+71llbWwg4L8dlOvbyAS+K8COs7RX6P+ufZ3P5qXYdacHUZz5ShB671yQSVpT3wORYTFDz5EjC4tAiqKp7BtK9Syh77tHmSASMKKX+DxZVW3rAgaCMNbtCuSJkWBRolJfAys4hnPr81AqEACuJ7ICQnZ2ZyLTnXb+nHr96e5tS+sLt0ikmGUabtTjeldQZorIGeti5/9pIj++8tE64X6+SiJBwOhdmrTqvzjn0zJF8gjir2DF7aREJD2dx0XamDs+Kz4+TaC/9NhiRZ2EiPiUctWNm9soE+EfQp1uBqu/wJkqPW1KV3WmLo/DjsZgIUuu/4qRumkjj7fiZcc3hzfnbaqMXNC5JMh17WztC71dhntsw9xE7E3tUpQUePDz9DNU+7Drt+vzw4w7Douyj3AOP22XZ7MUfc3jfiJn45nMGoFzQFj1I+EkixeFVkcghVjsomqn+ALU6tkGTCVk/1D2EHdOOkySHdU3tymqXxyhbqha9F//qZ1fj2Q++VhLy5ee4DCcsbcZcvetQBFHLLVRjpH3Sa4sVIVe7Etp3vE24HztUn64FSpSNHlrhQG8lzQZXOwS4Fa2Z5keLtnv85NLTMWFQT+VvM8FE+daJ5gfOnj9vkuV/y9fRe3TmUAB6mqvMkn5UqQU0bec1PTmu0HvJcnDxjqyxXrFlM3+Uz4/9cxmNe3aFbF6w4IUUkX+dSzLP89PSESlsnaOYyAQ+P4KxTVviiGnm7KwN+3YrQHlJtGadnafmaIvhYpPP0M80qHZ8S+dMO135fMu5A/De/RMt/5aEnyTCBoYvDzUqHYJ1i3NPVoft8979x5q9uOjXH0QVoFNFDkA/kaP6N8nx+VlbI3b65cesQb2Mkx6anbd63wkA4hw/PNpVoq7wY3gUc6wkp2NmATtmL+1goBeCzgbiB6echt6lBcJ9JJ0T8w7mPHZXyk+9sw0rth9R/jYSfkRmEO1kOuvsfqjsKm6bCKsrThFONT8ifzQA+Od3z8WMEZV4//4LlJDlzqD5McqB07dbASad3guXDe+tvJfsvTBK/mkX7X3U0xZotRiWa3tx+4k0KU6FbL45ZgEFfMkKPYGA+dQV5bkjATUGoe78+xx9D0O/s6OhO59bmPDw9++PK7/W/T0b2z1uF/K5Rbax72/kMz8W2n1vSfhJImwwONbSgTmLN6m+u+5sdU0xfoL+2+rd2HW0BU8v26HaR7Vy0EjXel3HyaTAtAIvfrLH8m+0pqYHJg8GoO6gj84cimtH99PNoGxm72YTq1lSOK1Ww2uWrNHhZJRvQfPDXlarNnEgemDXS4JpJXu3nsZPr+12VODHmr34/Qr1QNds4PB88IRAg6Vpntsl4bSKYvz88qF4lvMt0SOWDM9BC/dPhKp/cb8dUlGC+dePxMlcZnO7uafSEb4Paa9GkiT85daz8fsbIs+KL/3C7xcLWoGzoU3slKx9Vaya3XnEZi9n7ec1RfwCVyhgSeZjYCuv+QmvLEWaFuU95podJfwIrA1DK40rHuhruyMnenaFvvDD/JNy3JLKd85Q+8NdHj9u2fXVI+EnifAd5Z/rQuGZrE/2KslXDYzqyAjxU+VfSp9ftjRnO1ndsjpRdiYUPkfMf753Lu66MJTZmR98yrrk4VffGK6bQdmoSjEA1LeGfKfMfG20A6W+2cvwMKboDQQsSysA5T7YeU+1JtB4tF+7q94q1E6AX7ugXW0+fc3PfwQhytoBjP19y7kDMW1Yb9M2xJI8kv3G7iCqZ/YSIYr2spMXKh3g748VM3ZEgxu/6+zbTa0N1EuHwXeD/9413jRPFIOPqNQLM9cc3hJ6mh9hxJRZsVJEFhehnEDmoe685kdrgm8XaM/MtFN62m5+emny+vHGpoN49LWtaOsI4OOvjioLOpHPD2D9neDHXDs1BQESfpKKaHLkQ8+7FUa0JfwLp2fm4F947cCipzZ0Es57tNlrvpP2PNz5Rw3orghb/Mtn1lfNfI2YUFBaYJyxQav5MfNdcpqATW8gKOGS1mk1fFYmaat5LyKTt3779b7S0/Cw7Ycb24UO7DwidbuR5kerJQq1T91Au6Ue7Eaz8SiaH5vP304BXVG0lxMn3FRit7lsUcev5mO9Ym3pFb13mu/XVTZyKI0/tSxybCOzl034brmvvlX5zIfWM1yS+QKw1RtxePYYmL2CAp8fPc3PiH5dAQAzR1TqJldk6C34tPfn7lc2YuHq3Rj5i3dx418+xc/DgRS8zw/vxzX28fd0xz1+zMzPjVyD7czU9nYnYqEg1/h2//HmUcpnvrMXcuGjvEqT1w4FZWuDkhOfH7v5fYCIxuBkTeiu2l/AuBEs9NMoiRmgLqQpQuvzo7tKjBG9XENdVBmApfD/Q39beWHNMp4y7JhttOfVc0oMhPOzjH38PZwz9z3DcGWR6v6DbdZC5f/93XMBqAfN2887yfZqzo4vVRQO3g1AXMNLD+2E872Jp+AME9NCusELa1buVa7A7BVvrPjx2RVYbhs3EADw46mn6e5jO9RdVn/+LFyM+P5/fR61rwRzzQ9zeO6SmwO3UkFA5PAc+r/a50d9R5iwwYSnK8/qY0HzY29xwhasL3+6Fy1efyTU3a2u0dcRCGLhx7uFx+DvIS98mVVO0ELCTxLJFWSZ5k2xI/t3U3Ka8A+ykHvAfIJE/oW4/byImhYw9/mxMxCM7BcxS1nNsaAU3NNMXny0i9VJZtHafYbf87lFRGg1P2aTldOFuF7ElHgCD2soLBzXcvSDDc2FVuMU0Hmu+R4XWjntjZ5vBSAedJu8fksZr0cPDOUd4QfnEgdlHqxmlhWxfk+onUbXKIJ36m40SWCqNcHef8lgW+dKC/gFjIW+xkKw1T4/8W2SFc2P3XM+MuMMrP9/kzC1Ktrc6ty8qt7/lU/1/ShdLnPtN3N4LszLUcbWgEBbIyraq+2LTDBh58pzu0y183rXb8WtYugj7yiFj0Xa0xpN3iMR+Vb9hASQ8JNE9KJCVPsIsnTyk+ehxoh6lO3Tp2sByrrkWfPjceDzczdXid1qxfmgknxLvX1gj6Lw+YGyIus5GYzQ2q61aIWSmiPRL1U8EmfpmT/s5s3QYtfsZejwrPOlXlbXotwcPMdFaxhdit4q8ZNwLior8M2LpS6bkzu+tPogAGD119bbC1h7rxl8X5Uk+34K6YAd0zUQeS+caJCtop8BOfJO2HVSliQJPbqIxyinpnE7SRdVmh+9UHcvc3jmzF5Ch+fIURl6EXPsXLk5Lvz2upEo65KLey86Fb1Lo0PauxbkRm1Tn8WYT8OaL6adH3dKJOpZ793gr473Ie3fw14mfxJ+kohWzdjY7otyQBZVK+ZNEv9vyRblM1tpm03+PE7KWxTpmN2M4NOu8+R73Pj4oYvwzn0TUFpovLJnESNDKowzF5v5XGgLdJpqfgy/NWqH+Jcis5wds5co55NIIBIEdOiiPa+eULvraAue/SAi/BgJcrx/wIWnRUJg7ch+KuHHgWCgTEo2pR9h5FkC4E2jHpdxfqp0hW+xNbNX9IIu1sKmWnRX/TbeCSccabLnDxkdem/sn8esBXqmbyXPTx5v9jIKdY9si3J41mh+cnNcGNGvK9b+ZBJmTz4Na+ZcjCtH9lH2P713CS4bLg5CsNqt2XzCFqh8cIheLidZo83b+PAl+GTOxbY1xST8JBHtCnHP0daofZRVEufwzAsc6/ZETAh+LkeCFt0khw4GA74TWrWrMjOKaGXTp2sBBlsoxcDC5dXJwKLPbyb8aO3Soomev19OJyS9djw0bQhO712CJ68eHjkHO69Dh2dRzSzFpGmk+dHZbrWej6HwEx40T+5ZhNmXRPwk7KijVWHUMWl+7Ek/ogy7ls9pY187RVrTFZXPj4Wrj4xpidP86Pnx6S3CYoVpR2Yu+NjW77StZEMrS4j5I86/iM/zo6/5ieT58VgIdedvg67mhxN+Qr8Rv5P/+8H5ui4HVoVb1la2cOQDHNw6dfy0V9etKBcVAq2UGST8JBGt8HOwIbLaZF1FpCLm/TGuHxOJFlISROVYf7FlKzOkBl74sa75Ce0Xi1o/NydajSsaBOxE2wA6ScBstk0E3w5+kuvbrRD/+8H5mMVFetkZi0WrPlFx3MiKyIrPjxo9n5/oc+h/x56Tx+VS9Ultck4j+PviJCeLIlTafKB6A2284ccAu/02XTBKcihC6LQbB1lkDFefysznJ10i6rT9UttNh1ZGItL4PD96/i+iDM9Ch+fw/1UOzzla4Uej+RH0T6v30ertXvXV0VBbwufix00rr0csmtPMfPsyFG1Faj6TJXuGrEPyxen4yb8nZ4NmnTxHMHDrrXydpPB3qzQ/sfn82IG9EHuOtSraH9EgZ8Xngg8xN7sGp03mV/LnnNwDV43sY+rQainaK3zNl5xRrmQKFtXMsqT50XEItiosGGp+AlzCMm4FZ6dYp9qfxLnqR6+ZzyzfgcsXrIoq2+FE0HICf18yNeGhWhNgfg0sIkdU7iYW/v6tMUoaEJGTL8AJF2lyq6MWHeFxko3x+dxY5pIklTAgEoAUn5+8SJJDbcFUQFzeQivcsEhOb0Ct+eFJlItaRPixoPmJU7AuCT9JROvDIDIhiYrT8SYJ/rnzORIYZmORlSzAWiRJUl6sby1ca8mBVak2HMPbwq+Mf/yfUEZsofBjYRKZe9UwjD815ExnNDjEAt/eHJeEp689E/dcPEi4r5KJ2MJxmTo63+NW0iWIUtCLwlmjzqvzldWrN3J4Zw7POW4XBvYoVPqMHeHHrj+J3u/1hLRnlu/E5/sb8J/16vQJsWgo7aw+8zqD5kfnsx6s2ORhLk9UPGTNfI8bw8K5e/Ss8fFYhMUT7TizZOMBrNhep7w7BapyDep3eXttU9TxWvkkh0qeH32zPt9XozLfhxfjPkPhJ76aHwZbCPC50niLQ21DO1cSyr7fqojMfPs6Cb5AMKrQqMjspTfh+IzMXno+P5rzWYVNDpsPNOC6P31iuj9rciwran5lvHjDAQBi/xErk4gkSTi9IpRPxSx3hdMm21nJK+ewIHSxyuqBYJB7bqIBzrpWT/trq7KfkdmTCZUeVyhnx+NXDQNgL9pNHe3lwOxl0d85quxBkmZHPpHpIZOkkemK3Tw/rPBlnU3nYCu4DbQdgLUFQar55l/XKuO9yj9RVie4Lc5X+9fIssyZvdyKBUAc7SXw+dHMG+2+APxBWblneYLULFZvo9NEod24skjs2X5WcxznzH0PP1i00dYxzSDhJ4V0BOSoSScSGRH5QqX54fZnWhB+8jfrck40P9pzWCEetnbROWPx+WE2caHDs822CY/PqWk/233ccF8nt+WtzbWGv7Pm8KwnHag3VJbm4+IhvaJ+byQ4dnCp6kPnCh/ZVrQXb/ay/jvl9xbPqe0z/Iqcd0y3wsTTxMUdRQwqNy7mmwnYFVCZUyxf2DReogibIPUEbCdm/kRi1i/5pH1BWUa/7pHwbW3gw+FGryLEqzU/+j6NLhPND69ZF2l+rGo5nc4vvLaHCX4vhWtKvrHpUOiLOEXwkfCTQnyCpF8exWlNrPlRFcbTTDY8+u+Ys8HA7so4kuTQ5ok4hMKPQ5+f0PH0Bwcep2G4LZwfiV5JEi1OhS7RIGqpsKnJpT159XBMPK0n/vatMcJ9DTU/nM8PEBlonV5jFwdJDiODu/FZtVo6/h3TrrDNuHHsAMv72s2Im47wQ4GVSY5N6ImoYaZofpIc7eUUsyhEvn+wSxoTTgCqTXlx9bOrlc8FHrciOIh8GkXlLbRjutenFn5Emmyrmny7t5uN4ecNipQVYfdCm18ossiL7ZmS8JNCQmYvdUcVJTnkVzX8pCf2+THuEE5dW+w6Zyo+PzF0UO1P2zoCwkgEvczKWtjLLir8F48wXD5832yQcFp93Ghqj6xyze+5tt+xdozo1xULvzkGg3RSEeiZF4DIBKRofnScqxkslcHjVw4Tft/VpGyJCKP8SXw7tAIzL/z07qoummmG2yWhj83fZDIqh2cL+7NJrNWgyK1T2Humq/lxWLLEDmaLKR7WTJbJXwvv88I0/ixPmba0zAEuN5XLJSnvnWiBopj/OIFHO1e0+wOKZt0liYvwJs7sFdq/V3E+LjmjHAAfBp8YMYWEnxQicnj2CFLB661q+LooWnTz/IT/b3cw0K4SzELe2flj8aXoXqTOHrpxb73ychbmRVZIVp2q2UskGqze2nzIaTMV+GSGpqsSE8GAoY1KMjqulUh3va+s9guj586SHLIVqFkiR+YLoq3QzdCbIIwwciTnTabaAZWPFjozXNjRDnayPGc6qj5iJdorN1rzE6/kjmx80XV4Fjj6xhs7mauZkKa3YMvXmL34baJkpzxG/k9W/AF5zY9ef2bvbLzh30emNWfXz0fR+gNBR7nqRGTPG5uG8D4/WrOXXp4fflDvUMwMdnx+rGsHeLTh9KJoIx42ScYy6OTluLH0rvHK35IkYeWOIwBCeS2U7RaPlyNQkb+/7TDGzX0PK3ceVbbZNXuIiJcD7Yz5q4TbDc1eFo4blW/EorO0nvN9MCjjJ+Hs4+zaI2Yve6vyey86FdeO7ofhfUtNWiPAQODy+vWFH9Ynzurf1f45YS/LeqZjt7xFMsxeuqHuiu9h3E+tYOe6WL/U06SLcqqxwsibDzRwx4nu4OyYR5s7MOHJFdjC7c/eW6PEml5/QHlH9ISzb40/CTNHVCrZ9/WwO+zzfUqrzePvidcfsZZQtFcG0+EPRk0LERUnX94i8pnv81ozA49+np8wNjuO9qUxe+GVJIcxdlB+Ff7FoUbMf/8rAKGMpgyrL4GSBIybwL+1cB0ONrTj9c9DdZ2uPqtvTOH5yrlMjmHFM6W2oR1fc3XIHruiinPo1XfaNhQ4TfLgmN3Lby1cKzQRfnEokiH5WLhYIcPAUhY6p6Yzzp58Gn71jeGOBOfIfY2+QN5soH0+LJrQqX+SE4H5jN6ZVc2dweeisbKIYqacdt7HMU5tiQg/xuNdIn1+RNnW9WDt0TPl8H2eXVKPsAb8H5/txfGWDtz9ygZMeWZl1G/5Bere4624l4uOilgJ9Kf8dpXmR+ybVpDrxu+uH6lb1kK5DsNvo1GXrFBr8/h8P+2+AOX56QzwNabYIMI0Gq1cQjA9rWrE54e34xqf06nKUDtZaO3PWuKZWfX8sBPc1oORlUwBr/mxeAorDs+8UBULZpofyUQIAYD/W7JZ9fc5J/cwfHBWVrlmZi8ekdmptSOA18KCIs+R5kgYM8s+ba75CbcpjvOSkamNr06vbdPbW2sBABv3nnB0Xr00/0aMdKhlSjXaXDRm5BjUnIqViKknlJ9GuygQhXjHmyavca1AFeHmWTGTsrbz4d81R5vxxqZD2HG4OWp/kQMzw+c395/x+gO4+5UNAMwXb2bYvd/8U2NN/NXb27B293GVP5dXJUCTw3PGsu94a9QEwAZRPnJIpfnhukmHBWlei1NPeftmr9D/46FFYQXr+CgGPTW3EUZ5MBjxMleZCj8WjqFNasYfU+jwrAi2Vhyexb/lW/bA5NMgorEterDnBQs2GbAupne7ExGGbOTzw79TwWBIWHz8rS/xz7X7Yj5vFwfCT6bC+6VYeXaiYs3xEkaYieRIkxdn/3I5HvjXJtX3bJhIpM+PqNSMHqzPWxmzmTZLbVLVvw7tMXltvSg4RsvR5g7sCmeRrm2MNQeVvfvNy6z8OHfNc2tUWj0vby0hs1fmcqI1ehJhws+x5g786N+f492ttWrNDx/txaR5wSpCv7CpswlHO5lbNXvFQ5ZgJoVmTlPGmwWtrgDYYLDsi8O6ld1jjSz4zoSTAQD/77IzLO1vpMHVal5cknEeGyu2cP3yFtG/7dElD8/dNCrqGCKHSl6waApPBmYV1m2UIrOMUYRZi0rzA6zdXY8/rdyFH/1nU9S+dumhcc434ppRfQEA3z7/5JjPmwr4XDRWNLtKfi2LpXHswMallz7ZgxOtPvxngzpzN3snEunzIyo1owfrllYiVEX1EUXaM5ZBXeuawP+uwyA4hmGmzbdDLJofraDKL1ZbvP64ZOMHSPhJOnxCtJB9VT3pdAmbXd794jD+uW4/7nxxvUbzE0Fkx7UqCDhNP84w0/zEo7Apgwk/vC+JE+dJXpU7/NF3Mf6J9w33ccKcS0/H5kcnq/JViDALAweAXlHCj2Qp2svoCsyuTvt9riB7uEhzxptpI2avcLtM/M9iVV/zHA/3kT3HWqO+a+HaGJRlNAvMFaf2cpaEcMJg64kOn/zGcGz7xVRbZT/SCd7sZeXR5XCmqcjP4qth1RuP7GhDnWInTYbi82OhGLVoDG0SaJleuO1sANFjF59uI1INQD3l33zOAOWzN57Cj8F3rNwJDz8OatOE8IWR61sjc0CsT5SEnyTz51tGKxlkvf5o5y2R74BexW2Rzw9Db0p16mcRpfkxE37ikOeHURw2ex1rjnR8PtupXYdnBp8nQ28fJxRbSM5npclRmh+V2Uvf4dnKwaPMXjr75QpS3ItW8C2cMMpWoKZmrwT4Y2wLmwqfXrZD2dba4cfvV3yFT2oiNelkWRYWBP7DjcZRLHpcNKQXHruiCovuPMd0X0mSMjrZId8vrZh8ElnDLJLhObKNn0gj5S0S1gRboe6sbVYWb2zNy4+hIpMz81PUjl0qzY+gGgAA/PzyoXjuplCfF5UOcgq/SHvv/gtw7sk9lL97lxrnxDJaMNe3+uLmK0jCT5LxuF04rSKUQK5D4LzFh3AzeJsn/2KLQt3NJj47ifB4tC9Wu8nLG1AGnXhqfiJOtb6AjKGVoWiZ8wdZW3V7LIyAVvaJB1Z8ELSCMG/2EkkrVtIY6J5XFn8vUpOLVO98PqIXbj1bdSw97VYCrF5CnnpnO556Zzv++OEuZVtQVpsJ2GMvcCiUSJKEm84ZEHJK7+QMqYhEqZktggBxeHXcfH4E7ys/iUccnuPby/jD2REa2FBu5Tds0TtjRKWy7bgmkhIAPK7o0hCA1ucndCytuU2SJKXeXFzNXtznLnk5aOWOLXpm/BBhNGeIhD+nkPCTApinf0cgOtRdqPnRqe1lWN5CN+Np6P92xwLti2U26MlxNXuFNCm8n89pFcX4713jsfVnU6KSIephRasTD82PHYzM10GNysQtSTHX9tI7r54gIrofLN0ADxuU77rwFIw7tUx1LF3/ch2BK958VhNdZy2o0fywNmZTssJ4YJbsFIhMzolANL7wNcT8Sr6x+J43R6BVsQK7W1b8n9j7X1rgwYhwyo9fvvVl1H7usJATJfxw990oOIaZwtrjqvmJfHZJEqZVVUTaK3gYfE4voylD5TRP0V6ZB/Pe9wpqe4lCrXWruvujzV5m3cGpr5h2ErSe5NDZ+XhEOVSe+sZw5LhdtkKMjRJ8KfskS/MT/r9RrR+tuZMXEoS/suXzIz6v9nlZSd73p5Vf4x+fhSKmClUpCCSDMznPNm6ENjvzO1trsfVgY9R+QVkc0ZJIE01nxIrwY+W9c4poIuUnyPv/WQ0A2F8fbeKOhT/dPFr5bKs0Tvid9nF+nKMHdBPuqgrxNhhv2ZilFQT5d9eoGgDTBvHPsqpPbDmo+KErxyXh9vNOUv7WJi/9yy2jMZbTmBotQH18hmcye2UeuZzwo42+Ks6L9hdRVXXnthslrtIvb+FMDRyl+TGN9gr932ohPCNEws+AHvadRa20JZEDtQrF4Vl/F+13IbOXJPzuUEObEqZqlF5A1+ql0xBmWjTi8be2KZ+LcvlIIOXghueM5x2fM20IAODknkVo9wXwnRfXC/cLBIO49x8bo7bbrWGX7aRc+BH0dV742S1wfI8HFw7phZlhc5Sd/EUizc/fvjUG06oq8LvrR6r25ZVDerXLgMg9kCRJNU7ncSZcPYdnQKztZKZrp/ALN7c7VHfsjXvOw90XnorZkwer9p0UruXF4OubafEF5LilyMie5BRphGL28gejqn+XFEQ/Er+O2evz/Q0ANNFeZj4/FrQDIoxC3WVZjhKm4pnkUCsQOtXOWBmkkm32MkI7sbhd+mavR/67Vfls5e7om73Uv5YkCWVd8nCUS2IIhARykZBVKEg+qZ/nR71fPODDqvnIEC1HmrzC7aT5sYdRziyGyOyVSJ8fUVXzRMC09FY1P8GgjE3hMZvXWBfl5eBZQUoJH3dco3Pw95d/HnyR7C0HGlXbVL/XbCvOy0GvGGt48Qt2tuis6lOKqj6lej9RyNPJLg2EqyLE6fHSm54C8rgIGtbB2WAgihRSVXUPTxlfH2lWJiQ7fgpOJxytwLG0OlQOYM7iTbjoNx9GFeBUqrrHMdSd4fSYVpwMk+bwbJCMj2Fs9lJ/x6cBMMzzo3NeI1WyMGdOhzjKJ0dlgmXnMvY/i6fuh0+ox0cHatGLUiLhxx5Wko26DIT2WBEJP3aqrMcCEySsRnv99/MDyufvXnAyxp7UHXOvGqa7fzsX0aon/EiS/njIzF5LNkTOK+rf2vkjHmO2SvNj83jGmh/eVYR8fjKOPO7haidk8cscPXlUc2n4+eyypk5gDvNeaNvFak7947N9qDnagv9trlV9z17WeCY5VNrisNPz4fF6JEvzY1bxPPSd+kvrZSss72gJ0eD+r3X7BXuq+4nZNcarQCFPpJSCLMyJwmjSSUwXrwzf2YJVOSNRTs+p1PzwGnwrfPJ1xPG+tMCDV79zLq4f0193f748hd7CzWj8YAtQvvSMyKyr3RaPV4DXWtvV1IvmuwvCebR8XJBQrM0k4ScF8KrHiJpS/1HyXviss/MCVEGu9fBcpxOO2YqY765LNu7HghWhiKB4Rnsx+nQzzhOhx7A+XU33SVaZAit3RWz2Evv88OZFZ9Fe+qOoyFy46qujwn35CBPWVv08P+H9DNppF5aU0R8MGvpJ2ClJQOhjtcyM1u8nbkkOBZ39Lx/tUhYOzGftZzOHxuV8PLmCwBUj+HfMitaCDz235VQdhmVi58dgoeZHsy0ergp65SqssL8+2k+LaYN8AZkyPGcyLpcUJQ0b9bdjzdH+CXyHFXVW/fIW4fOZN1OFHUfQH776ufI5Hi9Sbo4L55zcHUBoxfSsw0R0p/bqoqwg9CgtME9QGE+MhA6t0OBSmb00SMKPUeh9Z2T2Eq2kWa4qLfw4qmR4Nk27ED/xR6nfFpCNhR8bJQkIffQSsGpJVBSlWzAuLd54AFOf+QhAZLKv7OpswWQESwBq1ezF3yord4MXfrwOTHlsYc3fe5GLRELMXkF7gp7qt4I+xarMqxZinSnaa+XKlZgxYwYqKyshSRKWLl2q+n7x4sWYMmUKysrKIEkSqquro47h9Xpxzz33oKysDEVFRZg5cyb27xer6FOJHT+dQw3GIbn85GLq8GxxPy1TuTwNwvNy27sWRgSIeAg/APDS7WOx+qGL8PkjkzGoXDzxWsGskjbf9kRixex1QBOeK0n67zs/XlkZbLRCV6RfRP/26Vkjorad4JyJ+XO7ec2PTmSalnhOizmcz4+RL66RPxBhHSvRXkC0xiHehU21bD8cyvQdEAgA8cLI7OX1B1DXpB63+TtlNC4OCpdYmTikV0ztY+Yj/lzCPD9Rmp+YTgsAKLfoMF0ksFrcef4pUduGhBdbndbs1dLSghEjRmDBggW6348fPx5PPPGE7jHuu+8+LFmyBIsWLcKqVavQ3NyM6dOnIxCIX/bKeKDNn2L0IPmsnkzg4L36TxeEI+s7mTrrOhcNKceCG0bi+VtD+S1y3S5dde/JXM2ieLnQ5LhdcVm9mZnvKmKMcrCKmdr/wx1HsGbXMdU2PsmhVpvCH89Q82MidIl+e/mZfaK2NXNFQnkzpCrZODuXSV+Mp8+Ph4twMdL87D7WEr+TZjFWhZ9EhbvrFShmsHEyEb5cRsLPpb/9CGN++R5qjor7mVGff/mOsXhkxhl4/MqIM/Rfbhmt/wMdfEoFgMjJRMKiVjCMx4K1ojQff/vWGCz5/jjD/QoFbgb9exSq/p4wuKcSFd3U7o9btFdahbpPmzYN06ZN0/3+5ptvBgDs3r1b+H1DQwOef/55vPjii5g0aRIA4KWXXkK/fv2wfPlyTJkyJeo3Xq8XXm/ErNTYGJ0QLRE4zSTLnjvr2IN6dUEJ5xMj6rayLOOuVzagrEteTOHF04dX4lBDW7gdskrdW8eFDrN06aF2Jsf50CpmK8BuNqpzx4LZ/f+9IIuykdnLJRA6hOfVE41MHtPKBy/ENxd+hsquBfho51FVkVC+XSrNj6nDs0mbHMCeb1AGAgZ9T1QmgLDPsL5dLe2nraMWrydu5AsTDMpK5FcihC8j4YcFhLyztRbfvSCkydh7POLLYtSaXsX5+Ob4k1Tb7BTOZTDB9IVVNco20YJAkiTk5ri4IJX43CszFwPAWnV7fyCo1APjrSAU7cWxfv16+Hw+TJ48WdlWWVmJqqoqrF69WvibuXPnorS0VPnXr1+/pLRVK/xYfZCs7zLhp5egQi7b70RrB1q8fuw62oK3Ntfi72v2RDIvO2w3m6iCsjoa4VdvRxLd8ddmtjJLNkbRXFaKUsYbPX+YEoHvkSTpCza8AGFl8IoKdTdxhO/foxDv3T8Rs0aH3o9mPeGHd7xW+oqZz49pcy3DP18jXwwr+WkIfZbPnoBfXFGF68+2Nl4mKnmkkRagIxDkzF7xn+rybIa6q8qsxOl2GAkYvqCMtbuPqxI9isYVQC3AJbAaSRRW3n1fIKgU0w2ld4mPxrhTCT+1tbXIzc1Ft27dVNvLy8tRW1sr/M2cOXPQ0NCg/Nu3b18ymhpVwJR/jlbs00yjErWiCveI1o4Azvz5Mgx95B2VfwNbsTuVmnknVr2XnleFp1tUTa5gEB7Zvyu+fvzSpBaltOLzE/0bKSLkhH/3149rsGJbneWBQM9sFnGENz4Qi4b7rOa4kshM7fMTHXWmd4lGzt5O4VeSVlIbEM44tVcxbj5ngOXUENr94uXkbiTDen1BJet5Is1eR5u92HOsBfOW7UCdpmTKut3HcelvP4qqL2fVXGjG4wZ5gvyBIBZwGmRJgqU6iPuOx7cUiBHWhB9ZcRPZX9+GDn987l1amb0ShSgDMSMvLw95eWLtSSLpWZyHbbVNwu+Wzb4A/9tyCGtrjmPF9iOq79iEYVTaAlD7NDy0eJPy+USrL/w7h4MBN6E16Wh1+FW1larPyUQ0WLskKQX5XcLOwDrfan3C+mj8nWTI2Li3Hj97/QsA6hVgLPOK2W/P4PzLGtp86FaUqxtmz7abRh7G8dbn5bhQmOtGa0cAu48mprQBYZ9ERXsZ+XUdbIhM4ok4Pwu/3rS/ARc89QGAkKb7kRmRsPrlX9YBAGb9cQ16l+YrZhttMIMVPG4pyo3AKClrICjjwx2R+WOaIGgl1egtth6YPBi/fncHAOChaUNU4+HfVu8O/zY2OpXmp6KiAh0dHaivr1dtr6urQ3l5uc6vUkPPLmqBi58ATiorwvcnnooeXaKFMvauMzWlVohhf/GT+a4jEUGIZQI2SiFuBB/B09AaEX7GnxrRmvDhiPFa4cQL0SAYr7wRdrAz4d84tj/ef+CCqN/xflb8ZRldjm5tL4ttKS/JV/oWE2x54ScoiDzUDXVn+8XR58flkjA4HA24h5ya04aoaK84HddofHnl073KZ6umKTvwvo2Mf3y2V7BnCN5fxYmWecn3x0dvNLiR2vxc8fLliSd6stvdFw1CzdxLsfnRyTjn5B4qV4pX14WsM+TzwzFq1Ch4PB4sW7ZM2Xbo0CFs2bIF48YZe50nm0JB9XYtRmm+mQZHLzTbrKMbHdsIvrPWc8IPn+uMz9ApytaZSkSO5qlsoZ6gwg/q/oCsCKvs9suy2r+Gf95G/ix6goadIqMsPFURflSSV+SjYiLVOU4iND8AUBAu6NjK1Z+7+8JT8eXPp+KKMyt1fzf7ksG63xGxkahoL6M8Qy9+skf5rNWkxoOy4ujFabvPXMj68y2jMbDMfmHmqj6l+PMtozGiX1eUdcnDqAHdohbRPF8fSX/h32iekiRJSXDrNEDIiLQyezU3N+OrryI2ypqaGlRXV6N79+7o378/jh8/jr179+LgwYMAgO3btwMIaXwqKipQWlqK22+/Hffffz969OiB7t2744EHHsCwYcOU6K90Qat5EU1Kue5oAYm96keaQ6uIqM4fPoyZxiXf41Dzw3XW774UqZjNrzL8nCTks5gBNlkkwvHRCYoQoyMa8IN6kzfavCjL4gRvgLUCrnqFTa1IP4W5OWhs9yvFbXnZR93tjB2e4+W4qIVlPGfCz7hTeuCBKacB0E/gtvuJy+LbCEKFtrxFvJ550KJmeZiFgpp2KSty5i5xSk/7gg/jkjPKcckZ5VyaCOs3MgUKbnMsNl8UFRZrDbe0En7WrVuHCy+8UPl79uzZAIBbb70VCxcuxGuvvYZvfvObyvfXXXcdAOCRRx7Bo48+CgCYN28ecnJyMGvWLLS1teHiiy/GwoUL4RYIEqkkOtoreh9PjshEE/o/07rohWb7TYQOx8KPznZ+wvWlseZHtALdlYIVktmYxQ/qg3pxSR25H/ImPF6t7zMI/zXLvWPFBMWEi33HW/HW5kPYx4XwqlP4h7eZ+fzENc1hRKvJiq+6dO4ZEKob95ygojYRXypKE5M/y8jnhyeeWcQZJQXOps88h2Mvj5PrcdreRGL1KkSaH736fFZJq7sxceJEQ/+L2267DbfddpvhMfLz8zF//nzMnz8/zq2LL1bUsOIcCOEkhzoOz6wzma3+naqB9d65Dl7g4TU/SaqwbBXRPW1oS104vl53Z6arAT0KlTwhAK8xUpu9+Lw7Tvwb7KwKmeD8vZc3RH3HL8RNHZ7D/4/3vMS638Zw8V/++Nr35c+3jE5qlF+2UtWnBK99flD5O17CiLar53tclkxP8cDpNeQnwIRjhYqS+Jf4iBWrfkhCd4UY19XpYQPIQqw4HBslgGIaFb2oLV770r97YdT38TB7qc/Hmb1UglB6aX7MMjwnC8VxXOd7tqL9wcWDhIVrZVlWmXB2Hm7mvjM/v26GZwtjUYGBv5io5Il+ba/Yck7p8fZWdVoLo8KOTt8Dwh4l+YkpG3P3Raeq/q7+6WSdPRPDvZrzA4lzOYiVitLkRzWbYVV+tJIM0S7pMRNkIVY0Lx4DaddnkrxL7XQcvRJy6vCs11l9gaAymakFofTS/Di97ngjRSQD4fcBnbT8/P0PqvyCIpqf8aeWGZzXONrNylgkEsYYfMFTRfMT/rvZ68fUZ1biqXe2qbbHW/OjTfzGry61K8h06Q+dHb3kerFyUlkR+nWPaDSSLVjMFJR+2VZrXCUgEc7XVhh3iv64kCqsan4SYbakNz9FWPL5EUi7bJ7SS9vOOskfPog4jrd0ROfacR7qLmbPsVac+fNlWLXzqErb89gV+km4UgE/cZ/eO5SzpqpPdG20RGP2KgeUBILiVAYy1BF2jD/fMtpSZIS+5sd8kMnX6Tu/uHyokoY+dKzQ/5mQ9q91+7Cttgm/X/G1pg3xHdh+f+NZqr95+VGrKdW7FiK+dBHUcIoXZlqB28YNTNi5RcLziVZjM7rVxJDx5P8uHYJ+AguAiJ9cenqCWxPBjlDzYDhoIV6klc9PNmHJ58dgn4jZS7zPfi6JVptG+PG4nSf1M5LUG9p8uPmFT1EZngBfvfMcjE0zf4oCbmX42+vOxModRzBjhH74c6IxM3vpPSdZFof5moUUs28f/PfnKM7PweShFbZt5+9tqxNuH9JbLESy42vNAYkobAqEJtoR/bri830nwsfXN3vlkeYnKRhpC2PFTHtw8emxVUc3okCgaWqO0RE3EQypMF7gPfmN4Vjw/ld44bazcWq4qnwysPPqi+51LNCbnyK0Hv8iCVhUikHJ8Bxe9mujV0TjgNYBNpbVrtlEJcsRs1dRAld7TuEH4e5Fufj2+SejPEmV3HkkE2dgXc0Pn1BQ4FtgtgqOaGOAO18MpSrgjxKLHKJtK/v7SLNX+H0ivcG6cHm01Jof9f0RJaoj4k+8Jy4e7Zg0akA31d+J8BdhiMxsiwwSHaYKs0XRrNH9sPJHFyZV8AHsLXzibdIk4SdFaF9IUR8wNnsZa36MiCXUUhuWzNvbGczslS7OxTx8m9Ih36l+np/Q/6OEW+6XImdyJ2n8VT4/MdwUPUFclkNV1PWLssYfvnae2uE58rlf9wJyeE4SibzPWqH6qW8MV/2diAR5DNF1aUsSpQPpOBYD9rJOx9s/Lz3vSBZgRd1ulI3Yp+fzY+HcsXQibV8V+Q7ptS0dKOUcL7vkp04zJXrn230BvLp2Lw43titaHUOzl0D4MZtkzJ6IlZw7v7iiSrhd2195rdbn+05ED3RKhuf495NCTsPH3yd+Ehjep2vcz0uISaTZS4vWvyiRwo9d94ExJ3VPUEuMSVRttVix06x4C9DpZ5fIEqxkPDWS1v0m0V5VfUqw5YA46mC/g6J6jGjhR5R5M6z5SZNsyjwetwuf/d/FkOHc6Tue8ALCr9/Zjr+sqsFJZUWoCVej1mYk1ov2YhSaTDLCaC8b7QWA07mILh5tf+XzJ+XluKIGukhtr/jDO5W+s/Ww8plvo9m9IuJHIk1PWqFaa25PVXSVluWzJ+CkssSalSafUY53vzgctT1dNT92Fj5WKtLbgYSfFKFn7uARDRjaaK+owqbhzpSozMpazYBQ+Ammr+YHAHqlwMdHizbPTyAo4y+ragBAEXwAdSJD7e9Emh8nK2zZptOPntCo7a9lXSKDldcfjBroEuXwDOjnv+Lb6NTpn7CPXg3CeKBdYxXmuiFJkX6dLhN/96K8hPe5edeeiY92HsXxlg7835LNyvZ07et23v14lyhJj16RhWgnLmFtL06wuPC0UO4SxeE5LNzohU0mqpq69h0Sm72YVio9X7h0QPvSv6LjJKmnPJNlPc2P8XpG9EREJSmM0DMjaLcPKo9oiFo6/FEDcETzE/9+ojfY8yVjEmFuI8R43C6hf2A80PYfSZJUPl+JNHvZQU8gjydFeTmYWlWBglz1NSfj3E6gaK8sRDtvmZm9tEKGXy/aK/z/RAk/2gnDyH8oFfksMg3WD7bsbxB+H6XB426/6BnHasqxMhjpTSaiAZYJ7a3eQLTZS/H5sdPC2ODfKZLNk4tRBfJYED1HXgOaSJObHZKpgdKW+EiXgs5a7Dg86xUldnzuuB6NsMy5p5jnv+EnE6WCt8VoL6OyEvdePMhiK6PRdj8jASddzV7pQCRZYeg5tfmiE1EC0TlD+N+JhB8z/wbtWBMIyrbz/OgKP4LtrH/6gmqzVyAoWzL9OuWAjl+bWvih/plMEqaBEaYJiZwrfTQ/yRR+1ONJuo7FqXwF06NXZCH5HjfeuOc85W+RCYN/adnLrI320lPvG2l+zurf1WZrI2g7q9YnhSddHA3TkUh5C83fGprb9ROmsT4zuLwLXvn2WKz7f5MsmHLU33doKsBbMQUV6qifRStsNuAHgrJK2PAHgwnV/OgVd80lzU/KyE1QgMFt4wYAAMafGllQ8mNPOgg/T31jeFL9brSan3Txe2L0LA5pASefUZGyNpDDcwo5uWeR8tkrqETMTxY9NJ7ukVw64mggv6j2QZhY1MDaydHlCmVyPtjQhh+++rnqu3SIpkpXtPdRTy193iB1PR4+dw6b3wf0KMI4g3peRnj9AdVzsjI866UIEPUrNuD7AjL4r0Oan/A5EyD98N1/9iWDlc8qzQ9JP0klUeanK87sgzN6l2JgWaR8g2jhmCgqS/NxsKEdZ/QuwReHxBG2lw7rndA2aNEmK0w3/8u37j0f6/ccx6TTy1PWhvQSB7MMPtOyT7BS5bU3ZWFJmUXI+C06PP9oanQ9lHgO+pIkYezJPTBzRHSBP8Ic9oRFj3HmiEpUdlU7iaqjvcLaPxvCg3ZXb5Tmx/wYeqtIUb9ig24gGNRofuSI1sv8lLbhS3/wZl5+sUBmr+SSm5OY+y1JEk6rKFYJ8apkpgl+zq/dcx7+dPMo3DnhZGVbkcb3Ltlmp0makh7p5n/ZszgPU6t6x9Su1+8+z3wnA9LrjmQZLpeES4dV4OyB3XBKz+j8D0MrS3DlyD64b9IgZRJRzF7hic8TNeGEQ93Dwk9JfnSIqcjE5hQ28aZrKGW6oli9WLi3QARobDcukKhX+d3KeRleXzAuvjfnnCxO3sYGfX9QVk1C/kDE5ycRc5Oo9Aeg9kuiLptckul4nMzoprIueZg8tEL1Hg6tVIdlJzvnmSRJqtDwdI32ckrv0nwM6xtb6DuZvVLMH24cpfudJEmYd+2ZAIC/fLQLQCSzL5Nf9CRn5itSUiAQfvQtYrYRFdckLMCZrwCxQHqaIJlgxOwlKyUwYtHkdQQCKodnq2Hn06oq8L8ttcrffbqKK0a7w4O+NmrN64+cNxGh7nr9MpccnlNGMn1vUu3jMnJAV4we2A1/+OBrAKkxsaoCZjqZpK/VWDuBND8ZAr9q5k1kUeUtFJ+f0OBvlIQwHrRzFeOZExsA3HXhKXE7R2dEO+GLFBUzhkdXm1dleFayfDs3e7X7gurCphYP9fsbzlL9rWfSYG3zB2VVDbEWb4Dz+bF2Tjvo+fvz7wvl+UkuyRR+UuHkPKJvV+XzvRcNSrlwzQuA6ZhtPxbiocnqXHckC5ABtHICh1mndktSVO6XeFayXrG9Tvn837vGK58vSaEXfybB5mhZoKkoNqk9xrQbdgZZ7QrQ6QpKu5K96ZwBwv2YsBEIBlXarbaOAGfyiz96Zi/eL6STLYbTnmRqY1KR26d/j0K8de/5+GTOxSjKy0l5/+LLy3QW5/7nbjoLfboWGFpMrEJmrwyBdV1/IIizfrFM2a7V/Hg1+R1yc1xY/P1x+N17OzG4vBgetwsj+nWNW7v4OaZ3aaRshLa4IKGGj9oCxGYvUbSc4vAs8z4/1s+rPWbI/BSb6fLBKadF+TgweM0Pr3Bs8vqUvpMIlXx5SR42H4jeziflTPXKPNtIpjbGSuHoRHBGZYnyOdWaxQMnnNdwTFemVvXG1Kr4RM7RDJUhsPeIr/sERJs8GjV5YXJzXBhSURIXSdkMSZLwu+tHoq6xPSrUklCjHRZFiooeXaI1dIrQBNm08rsIbUbuDr8zsxdPZVf9Wmm8zw8v4B1v6VA+J6Li9y+uqII/uBm3jRuo2s6nyI+n4z9hTl4n1/xoSbVw/fPLh+L+f36u+I0Sakj4yTC21Tap/jZbXSTb9j1zRLSfCqEPi3hiE/FN5/THjsPNuPeiQaZmAidmr2jNT9CRwzOPUc0dJpw/v6oGj844Q9nOCz/5CcgH1bu0AAu/OSZqe77HOL0EkTi01dYTydDKUiytPpi084lItaXpypF9Ma2qt6rPExFI+MkQnL5HlGU5PdGavdj/B5cX47Erhpn+Xm32siP8qPuDkzw/Wox8yHiz7O/DkS8AcKw5JPzk5riS6o/AX388IkYI61x5Vh/8ZtkOnCpI6xFvbh03ECfaOjDxtF7mOyeIdLCqkuCjDwk/GYJIw9O/uzi8mIeEn/QkOtqL5bwxHjHZ93ETfnwBOE3z83+XDkHN0VaMOUmc4wdQm2WPNHmVz8daQp/jXanZDP7+akt7EImlV3E+1v5kUlJyzuTmuPDglCEJP48RU4ZW4Nfv7kDfbompZk/EBgk/GYJoTuxeZB61lesmyT8dERUYBeypypnZy06G5zyNsNERUCc5tDMt3TnBPJ2BnumOaX6SLfzwkPCTfEoFecc6K4PKi/HxQxdFlSYi0gMSfjIYK/ldEu3z8+/vnpvQ43d2WKQVc3g289/h66E6cXiO1vxofH7irKvXc2ZmPj+pisoBKEEnkXj6dCWtT7pCNpEMQTQlpTp3w3Vn98PogfomD0IfJuT4wgKMbFGLo8rwHFZc2OkHWs1PlM+P5SNZQ8/ngAk/qSy46NfLhEgQRKeHhJ9MQTApWpk4ygTh0vEi1XksMpleJaFs2HWN7QB4nx/rxwg6MXtFOTwHsEuTPiGeaBNsMnbWNQNIbRkCvUSIBEF0fkj4yWDMzB13X3hqQqv5pjqUM5NhCSFrFeEntN2O2UvxE4rB7NXU7sfVz66OHD/Oz9TMpyfZ1a55AiT8EETWQsJPhiCaIopyjV22Eh3plUqTRabDctswp1umxTErwSNFshw6c3jW5NQ51uxV/R13nx8T4SeVbjeU5JAgshcSfjIE0ZxkFjmRaJ+gsi555jsRQphGbsfhZvzw1WocDmuA7CQsDIQrpdvRnmgdjNs05VDiTb5J9ub2BJ/fCPL5IYjshaK9MgRR5t1xp/Yw/E2ik7jxdWwIe/AmyyUbI0WoTPP8hP8vQ8auoyG/GTsCkzabcrPXr7NnfNDz+WG0+1IXbk5mL4LIXkjzk6FMHVohLCXxx5sjNbxaEjSxPXfTKMy+ZDAuGpK67KmZjl6iNzNlHZ8Z+nBjyGRlx/yo1fw0exOreTEze51o7TD8PpGQ8EMQ2QtpfjIE7eL+G6P6CrUEU4ZWKJ8TZVKYWlWBqVUV5jsSuuToOPfY0eKw53vuKcYaQJ6SfPUr39zus/xbJ5gJPy0dqTN7kfBDENkLaX4yBO2UaOYYC9Dgns441fywniAjIvzYqd9TWqBOfZBos5eZz08qofeDILIXEn4yFCvVt30BGtzTFb0UBOa1vUL/l+WIT1e+jSzJWid5ZjpLFKksX6HHdy44GQAw59LU1n4iCCJ1pJXws3LlSsyYMQOVlZWQJAlLly5VfS/LMh599FFUVlaioKAAEydOxNatW1X7eL1e3HPPPSgrK0NRURFmzpyJ/fv3J/EqEkPUnGjBOhIIUu2idEXPT8dq2LoMmRN+rAsYuTkuTDytp+X9Y8XjduGb4wcm7XxWmDPtdGz7xVSMGkDZyQkiW0kr4aelpQUjRozAggULhN8/+eSTePrpp7FgwQKsXbsWFRUVuOSSS9DU1KTsc99992HJkiVYtGgRVq1ahebmZkyfPh2BQOp8C+KBVtNjxTfER2r9tEUvPL3db9xP2a+8XJSUHeEHABZ+cwxe+fZYW7+JhUdmDNX9bmiKIgbt3jOCIDoXaeXwPG3aNEybNk34nSzLeOaZZ/CTn/wEV111FQDgb3/7G8rLy/HKK6/gO9/5DhoaGvD888/jxRdfxKRJkwAAL730Evr164fly5djypQpUcf1er3weiOq/8bGxgRcWRyQDP8UEiCzV9qi5/BsZoZiMi+fnyffQTLLZNeF+84FJ+OPH+5SbZt9yWBcP6Z/UttBEAQBpJnmx4iamhrU1tZi8uTJyra8vDxccMEFWL06lJ5//fr18Pl8qn0qKytRVVWl7KNl7ty5KC0tVf7169cvsRcSJ6xofvxk9kpb9ByerYokLDO0JOn7DxmRbGffUf27RW27+ZwB6FlMiTIJgkg+GSP81NbWAgDKy8tV28vLy5XvamtrkZubi27duunuo2XOnDloaGhQ/u3bty8BrY+dKJcfC7MkZbBNX/QKes4621j4ZuZPJ0VNec7s19XR75ySK9BOibYRBEEkg4wbfbTRMLIsm0bIGO2Tl5eHkpIS1b90RNt+K3NeZdeCBLWGiJWiPLHFuYvOdgZ77n4HRU2157/qrD6OfusEbU0xILUV3QmCyG4yZvSpqAgl1dNqcOrq6hRtUEVFBTo6OlBfX6+7T2fBKNT9lW+PxVVn9cGPppyWxBYRySQYjE3zAwDvbj0cr+aYwmt5CnPduH5Mf9L8EASRMjJm9DnppJNQUVGBZcuWKds6Ojrw4YcfYty4cQCAUaNGwePxqPY5dOgQtmzZouyTqUQlOTSY88adWoanZ52JroW5+jsRacc5J5uHXms1P+4YHJfvuvBUx7+1Sx4n6Dx70yjMvWpY0s5NEAShJa2ivZqbm/HVV18pf9fU1KC6uhrdu3dH//79cd999+Hxxx/HoEGDMGjQIDz++OMoLCzEDTfcAAAoLS3F7bffjvvvvx89evRA9+7d8cADD2DYsGFK9Femol3gm5n6iMxi1ui++NFU86R7TOPHHJZjCdq6ddwA/Ortbc4PYANe+MklcxdBECkmrYSfdevW4cILL1T+nj17NgDg1ltvxcKFC/GjH/0IbW1t+P73v4/6+nqMHTsW7777LoqLi5XfzJs3Dzk5OZg1axba2tpw8cUXY+HChXC7Mzuvh1bWSXKkMpFgnvzGCFv7B+Kg+eGzL/cszsMLt57t+FhmlHCZpXNzqPMSBJFa0kr4mThxImRZP0JJkiQ8+uijePTRR3X3yc/Px/z58zF//vwEtDB1aG8LKX6yFK3DcwwdgdcenndqGYb1LY2paUZ0LYwIP+0+SsFAEERqIf1zhlCSr67JRGav7IQ99WCM0V5aggaLjnjAR3vplfYgCIJIFmml+SH0GaNxhqXpI7thGZ5jifbiSbDsAwD4xeVDsa22CWNOoppaBEGkFhJ+MoSSfA9OKy/G9sOhOmaxmDuIzIVp/F77/CCA2Hx+eBKt+QGAm88dmPBzEARBWIHMXhlE96JI6DrJPp2HYpPEhjxRKQ/i9AZTLnCCILIJEn4yCD4pHGl+Mp+/f2sMTu3VBX+7fYzjY8TP7EXiD0EQ2QOZvTIIKgfQuZgwuCeWz77A1m+iUh7EyezVjRJiEgSRRdBsmkHw+VFI85OdNLX7VX/HqvlZcMNIXDC4J+6fTKVQCILIHkjzk0Hwmh+SfbKT97fVqf6O1eF5+vBKTB9eGdMxCIIgMg3S/GQQfFkA0vwQAPUDgiAIJ5Dwk0EEOZ9UmvMIIH6h7gRBENkECT8ZxLtba5XPNOdlJxcP6aX6e/OBhhS1hCAIInMh4SeD8POqH8rxnJX87vqRqOpTkupmEARBZDQk/GQQfE0k0vxkJ0V5OZg4uJf5jgRBEIQuJPxkEHxOFypsmr3kuCPP/t6LTk1hSwiCIDITEn4yCN65NRm1mIj0JN8TqZA+pDeZwAiCIOxCwk8GwQs//gAJP9lKzy55yufifErVRRAEYRcSfjKIX1xepXz2BYIpbAmRSspL8pXPxfmeFLaEIAgiMyHhJ4OYWlWhfO4g4SdrKS+JaH662KgITxAEQYQg4SfD6NO1AG6XhNMryNcjW+lVHNH85HvoFSYIgrALLRszjA8enAh/QEZBrtt8Z6JTUlKQg2lVFWj2+tGna0Gqm0MQBJFxkPCTYXjcLnhI7slqJEnCszeNSnUzCIIgMhbSmRMEQRAEkVWQ8EMQBEEQRFZBwg9BEARBEFkFCT8EQRAEQWQVJPwQBEEQBJFVkPBDEARBEERWQcIPQRAEQRBZBQk/BEEQBEFkFST8EARBEASRVZDwQxAEQRBEVkHCD0EQBEEQWQUJPwRBEARBZBUk/BAEQRAEkVWQ8EMQBEEQRFaRk+oGpBuyLAMAGhsbU9wSgiAIgiCswuZtNo8bQcKPhqamJgBAv379UtwSgiAIgiDs0tTUhNLSUsN9JNmKiJRFBINBHDx4EMXFxZAkKdXNSRiNjY3o168f9u3bh5KSklQ3J2Fkw3VmwzUCdJ2dDbrOzkU6XKcsy2hqakJlZSVcLmOvHtL8aHC5XOjbt2+qm5E0SkpKOvULyciG68yGawToOjsbdJ2di1Rfp5nGh0EOzwRBEARBZBUk/BAEQRAEkVWQ8JOl5OXl4ZFHHkFeXl6qm5JQsuE6s+EaAbrOzgZdZ+ci066THJ4JgiAIgsgqSPNDEARBEERWQcIPQRAEQRBZBQk/BEEQBEFkFST8EARBEASRVZDw04mYO3cuzj77bBQXF6NXr1644oorsH37dtU+t912GyRJUv0755xzVPt4vV7cc889KCsrQ1FREWbOnIn9+/cn81J0efTRR6PaX1FRoXwvyzIeffRRVFZWoqCgABMnTsTWrVtVx0jn62MMHDgw6jolScJdd90FIHOf48qVKzFjxgxUVlZCkiQsXbpU9X28nl99fT1uvvlmlJaWorS0FDfffDNOnDiR4KuLYHSdPp8PP/7xjzFs2DAUFRWhsrISt9xyCw4ePKg6xsSJE6Oe8XXXXafaJ52vE4hfP0336xS9q5Ik4amnnlL2SffnaWX+6CzvJ0DCT6fiww8/xF133YVPPvkEy5Ytg9/vx+TJk9HS0qLab+rUqTh06JDy76233lJ9f99992HJkiVYtGgRVq1ahebmZkyfPh2BQCCZl6PL0KFDVe3fvHmz8t2TTz6Jp59+GgsWLMDatWtRUVGBSy65RKnZBqT/9QHA2rVrVde4bNkyAMA111yj7JOJz7GlpQUjRozAggULhN/H6/ndcMMNqK6uxttvv423334b1dXVuPnmmxN+fQyj62xtbcWGDRvw8MMPY8OGDVi8eDF27NiBmTNnRu17xx13qJ7xH//4R9X36XydjHj003S/Tv76Dh06hBdeeAGSJOHqq69W7ZfOz9PK/NFZ3k8AgEx0Wurq6mQA8ocffqhsu/XWW+XLL79c9zcnTpyQPR6PvGjRImXbgQMHZJfLJb/99tuJbK4lHnnkEXnEiBHC74LBoFxRUSE/8cQTyrb29na5tLRUfu6552RZTv/r0+MHP/iBfMopp8jBYFCW5cx/jrIsywDkJUuWKH/H6/l98cUXMgD5k08+UfZZs2aNDEDetm1bgq8qGu11ivjss89kAPKePXuUbRdccIH8gx/8QPc3mXCd8einmXCdWi6//HL5oosuUm3LtOepnT862/tJmp9OTENDAwCge/fuqu0ffPABevXqhcGDB+OOO+5AXV2d8t369evh8/kwefJkZVtlZSWqqqqwevXq5DTchJ07d6KyshInnXQSrrvuOuzatQsAUFNTg9raWlXb8/LycMEFFyhtz4Tr09LR0YGXXnoJ3/rWt1TFdjP9OWqJ1/Nbs2YNSktLMXbsWGWfc845B6WlpWl77Q0NDZAkCV27dlVtf/nll1FWVoahQ4figQceUK2wM+U6Y+2nmXKdjMOHD+PNN9/E7bffHvVdJj1P7fzR2d5PKmzaSZFlGbNnz8Z5552HqqoqZfu0adNwzTXXYMCAAaipqcHDDz+Miy66COvXr0deXh5qa2uRm5uLbt26qY5XXl6O2traZF9GFGPHjsXf//53DB48GIcPH8Zjjz2GcePGYevWrUr7ysvLVb8pLy/Hnj17ACDtr0/E0qVLceLECdx2223Ktkx/jiLi9fxqa2vRq1evqOP36tUrLa+9vb0dDz30EG644QZVQcgbb7wRJ510EioqKrBlyxbMmTMHn3/+uWICzYTrjEc/zYTr5Pnb3/6G4uJiXHXVVartmfQ8RfNHZ3s/SfjppNx9993YtGkTVq1apdp+7bXXKp+rqqowevRoDBgwAG+++WbUy8ojy7JK65Aqpk2bpnweNmwYzj33XJxyyin429/+pjhSattppe3pcn0inn/+eUybNg2VlZXKtkx/jkbE4/mJ9k/Ha/f5fLjuuusQDAbxhz/8QfXdHXfcoXyuqqrCoEGDMHr0aGzYsAFnnXUWgPS/znj103S/Tp4XXngBN954I/Lz81XbM+l56s0fQOd5P8ns1Qm555578Nprr2HFihXo27ev4b69e/fGgAEDsHPnTgBARUUFOjo6UF9fr9qvrq4uSuJPB4qKijBs2DDs3LlTifrSrh74tmfa9e3ZswfLly/Ht7/9bcP9Mv05Aojb86uoqMDhw4ejjn/kyJG0unafz4dZs2ahpqYGy5YtU2l9RJx11lnweDyqZ5wJ18njpJ9m0nV+9NFH2L59u+n7CqTv89SbPzrb+0nCTydClmXcfffdWLx4Md5//32cdNJJpr85duwY9u3bh969ewMARo0aBY/Ho6higVAkw5YtWzBu3LiEtd0pXq8XX375JXr37q2olPm2d3R04MMPP1TanmnX99e//hW9evXCZZddZrhfpj9HAHF7fueeey4aGhrw2WefKft8+umnaGhoSJtrZ4LPzp07sXz5cvTo0cP0N1u3boXP51OecSZcpxYn/TSTrvP555/HqFGjMGLECNN90+15ms0fne79TJprNZFwvve978mlpaXyBx98IB86dEj519raKsuyLDc1Ncn333+/vHr1armmpkZesWKFfO6558p9+vSRGxsbleN897vflfv27SsvX75c3rBhg3zRRRfJI0aMkP1+f6ouTeH++++XP/jgA3nXrl3yJ598Ik+fPl0uLi6Wd+/eLcuyLD/xxBNyaWmpvHjxYnnz5s3y9ddfL/fu3Ttjro8nEAjI/fv3l3/84x+rtmfyc2xqapI3btwob9y4UQYgP/300/LGjRuVKKd4Pb+pU6fKw4cPl9esWSOvWbNGHjZsmDx9+vS0uE6fzyfPnDlT7tu3r1xdXa16V71eryzLsvzVV1/JP/vZz+S1a9fKNTU18ptvvikPGTJEHjlyZMZcZzz7aTpfJ6OhoUEuLCyUn3322ajfZ8LzNJs/ZLnzvJ+yLMsk/HQiAAj//fWvf5VlWZZbW1vlyZMnyz179pQ9Ho/cv39/+dZbb5X37t2rOk5bW5t89913y927d5cLCgrk6dOnR+2TKq699lq5d+/essfjkSsrK+WrrrpK3rp1q/J9MBiUH3nkEbmiokLOy8uTJ0yYIG/evFl1jHS+Pp533nlHBiBv375dtT2Tn+OKFSuEffTWW2+VZTl+z+/YsWPyjTfeKBcXF8vFxcXyjTfeKNfX1yfpKo2vs6amRvddXbFihSzLsrx37155woQJcvfu3eXc3Fz5lFNOke+991752LFjGXOd8eyn6XydjD/+8Y9yQUGBfOLEiajfZ8LzNJs/ZLnzvJ+yLMuSLMtygpRKBEEQBEEQaQf5/BAEQRAEkVWQ8EMQBEEQRFZBwg9BEARBEFkFCT8EQRAEQWQVJPwQBEEQBJFVkPBDEARBEERWQcIPQRAEQRBZBQk/BEEQBEFkFST8EARBEASRVZDwQxBE1nDffffhiiuuSHUzCIJIMST8EASRNaxduxZjxoxJdTMIgkgxVNuLIIhOj8/nQ1FREXw+n7JtzJgx+PTTT1PYKoIgUkVOqhtAEASRaNxuN1atWoWxY8eiuroa5eXlyM/PT3WzCIJIEST8EATR6XG5XDh48CB69OiBESNGpLo5BEGkGPL5IQgiK9i4cSMJPgRBACDhhyCILKG6upqEH4IgAJDwQxBElrB582YMHz481c0gCCINIOGHIIisIBgMYtOmTTh48CAaGhpS3RyCIFIICT8EQWQFjz32GF599VX06dMHP//5z1PdHIIgUgjl+SEIgiAIIqsgzQ9BEARBEFkFCT8EQRAEQWQVJPwQBEEQBJFVkPBDEARBEERWQcIPQRAEQRBZBQk/BEEQBEFkFST8EARBEASRVZDwQxAEQRBEVkHCD0EQBEEQWQUJPwRBEARBZBUk/BAEQRAEkVX8f7IjY69sprfWAAAAAElFTkSuQmCC",
      "text/plain": [
       "PyPlot.Figure(PyObject <Figure size 640x480 with 1 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "PyPlot.plot(range(1,length(vcat(expt_ssa_conc...)[:]),step=1),vcat(expt_ssa_conc...)[:]);\n",
    "PyPlot.ylabel(L\"c_{true}(t)\"); PyPlot.xlabel(L\"t\"); PyPlot.xlim([1,length(vcat(expt_ssa_conc...)[:])]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the histogram (appropriately chosen x axis) and store the bin values as from the PDF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "0.9899999999999999"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "PyPlot.Figure(PyObject <Figure size 640x480 with 1 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = PyPlot.subplots(1,1);\n",
    "mod_bins = LinRange(0.0, maximum(vcat(expt_ssa_conc...)[:])*1.5, 100);\n",
    "true_bin_vals, other_stuff = ax.hist(vcat(expt_ssa_conc...)[:], bins = mod_bins, density = true);\n",
    "print(\"\\n\",sum(true_bin_vals*(maximum(vcat(expt_ssa_conc...)[:])*1.5/100))) # check the sum of bins is 1.\n",
    "\n",
    "true_bin_vals_form = convert(Array{Float64,2},transpose(true_bin_vals));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "PyPlot.Figure(PyObject <Figure size 640x480 with 2 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 4;\n",
    "\n",
    "lin_expt = vcat(expt_ssa_conc...); filter_expt = filter_lin(expt_ssa_conc, n)[2]\n",
    "filter_expt_form = hcat(filter_expt);\n",
    "\n",
    "fig, axs = PyPlot.subplots(2, 1, sharex = true, tight_layout = true);\n",
    "axs[2].set_xlabel(L\"t\"); axs[1].set_ylabel(L\"c_{exp}(t)\"); axs[2].set_ylabel(L\"c_{filter}(t)\"); \n",
    "axs[1].plot(range(1,length(lin_expt),step=1),lin_expt); axs[2].plot(range(1,length(filter_expt),step=1),filter_expt);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "simulator_function_conc (generic function with 1 method)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# function that returns the SSA concentration for lineage specified abvove.\n",
    "function simulator_function_conc(var_params::Array{Float64,1})\n",
    "    lin_conc = filter_lin(Single_lin(lineage_data, var_params, lin_ic)[:], n)[2] # choose up-sep form [2]\n",
    "    return hcat(lin_conc)::Array{Float64,2}\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create the new distance function that takes in the sample trajectory vector and experimental trajectory as inputs and outputs the product of the hellinger distance and the euclidean distance between the two trajectories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "new_distance (generic function with 1 method)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "function new_distance(samp_traj::Array{Float64,1}, exp_traj::Array{Float64,1})\n",
    "    euc_dist = euclidean(samp_traj[:], exp_traj[:]); # euclidean distance\n",
    "    samp_bins = normalize(fit(Histogram, samp_traj[:], mod_bins), mode=:probability).weights;\n",
    "    exp_bins = normalize(fit(Histogram, exp_traj[:], mod_bins), mode=:probability).weights;\n",
    "    hell_dist = hellinger(samp_bins, exp_bins); # HD\n",
    "    \n",
    "    return euc_dist*hell_dist::Float64 # return the product\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50.456205748543326"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "thres_cutoff = sum(new_distance(simulator_function_conc(true_par)[:], filter_expt_form[:]) for i in 1:1000)/1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  0.005770 seconds (29.62 k allocations: 2.614 MiB)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "42.536891398626224"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@time new_distance(simulator_function_conc(true_par)[:], filter_expt_form[:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "┌ Info: GpABC rejection simulation. ϵ = 250.0.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:47\n",
      "┌ Info: GpABC rejection simulation. Accepted 76/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 165/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 252/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 341/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 427/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC SMC simulation ϵ = 150.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 70/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 139/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 205/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 266/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 328/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 382/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 447/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 100.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 70/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 128/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 191/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 258/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 320/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 396/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 461/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 90.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 106/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 214/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 313/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 421/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 80.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 75/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 157/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 238/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 310/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 385/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 461/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 70.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 50/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 87/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 145/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 194/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 240/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 295/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 343/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 387/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 427/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 467/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 65.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 54/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 90/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 122/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 164/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 218/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 254/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 300/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 343/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 385/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 430/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 475/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 60.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 34/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 68/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 96/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 132/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 164/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 211/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "┌ Info: GpABC SMC simulation accepted 250/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 286/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 316/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 355/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 391/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 427/12000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 463/13000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 498/14000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 55.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 42/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 85/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 119/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 148/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 189/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 220/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 269/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 301/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 336/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 372/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 415/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 453/12000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 484/13000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n"
     ]
    },
    {
     "data": {
      "image/png": "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"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_particles = 500;\n",
    "threshold_schedule = [250.0, 150.0, 100.0, 90.0, 80.0, 70.0, 65.0, 60.0, 55.0];\n",
    "\n",
    "priors = [Uniform(-1.0,1.0), Uniform(0.0, 1.8), Uniform(-1.0,1.0),\n",
    "          Uniform(0.0, 1.0)];\n",
    "\n",
    "sim_abcsmc_res_conc_1 = SimulatedABCSMC(filter_expt_form,\n",
    "    simulator_function_conc,\n",
    "    priors,\n",
    "    threshold_schedule,\n",
    "    n_particles;\n",
    "    write_progress=true,\n",
    "    distance_function = new_distance,\n",
    "    max_iter = convert(Int,1E5))\n",
    "\n",
    "# plot the results.\n",
    "population_colors=[\"#351D17\", \"#502C23\", \"#754134\", \"#935343\", \"#B86854\",\"#DA7E67\",\"#E57053\",\"#E75935\"]#,\"#E84D26\",\"#E84117\",\"#CF3008\",\"#AB2402\",\"#351D17\"]\n",
    "plot(sim_abcsmc_res_conc_1, population_colors=population_colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       "  0.819263946109949\n",
       "  0.9195264853077207\n",
       " -0.3800264870994937\n",
       "  0.17219819420076551"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pars_conc_1 = [median(sim_abcsmc_res_conc_1.population[end][:,i]) for i in 1:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       " 0.5\n",
       " 1.0\n",
       " 0.0\n",
       " 1.0e-6"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_par"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Print the differences."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       "  0.319263946109949\n",
       " -0.08047351469227926\n",
       " -0.3800264870994937\n",
       "  0.1721971942007655"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff = (pars_conc_1 - true_par)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot an SSA trajectory using the inferred parameters and compare against the experimental SSA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "PyPlot.Figure(PyObject <Figure size 640x480 with 2 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  0.014318 seconds (42.37 k allocations: 3.945 MiB)\n"
     ]
    }
   ],
   "source": [
    "single = @time Single_lin(num_sep_all_lins[1], pars_conc_1, v0_n0_th[1]); # do for first gen.\n",
    "concs_ssa_1 = vcat(single[1:length(single)]...)[:]; expt_c = vcat(expt_ssa_conc...)[:];\n",
    "\n",
    "fig, axs = PyPlot.subplots(2, 1, sharex = true, tight_layout = true);\n",
    "axs[2].set_xlabel(L\"t\"); axs[1].set_ylabel(L\"c_{exp}(t)\"); axs[2].set_ylabel(L\"c_{SSA}(t)\"); \n",
    "axs[1].plot(range(1,length(expt_c),step=1),expt_c); axs[2].plot(range(1,length(concs_ssa_1),step=1),concs_ssa_1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The inability to infer parameters here seems to arise from the indistinguishability of parameter sets with respect to this objective function of the HD. This is also shown above by the similarity of the behaviour in the concentration trajectories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiwAAAGxCAYAAABBZ+3pAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/d3fzzAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAsIElEQVR4nO3de1yVVaL/8e9ObuYFUQwkUS5W4jFzhKmgQewi5iUzNZ1OVqfUI0ONKXqOqDkq2tHM4+E4ilh5eTU6yZmX2k1mJizlWNJMKl4y8zWdRFDZGVbiZeT6/P7o5562bJCNKGvD5/167T/22ut5nvWsfFZf1nOzWZZlCQAAwGA3NXUDAAAArobAAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8BiiPXr18tms6mgoKBBy+fn5yshIUH+/v6y2WxKT09v1PZdDwMGDNCAAQOauhkAbpBrHefQsnk1dQPwo6FDhyovL09dunRp0PLPPfecLly4oE2bNikgIEBhYWGN20AAAJoQgcUQnTt3VufOnRu8/Oeff66JEydq8ODBjdKeqqoqVVZWytfXt8ZvFy9e1M0339wo2zFFXfsLtDTN8Rh3paXsZ3PBKSFDuJoqHTBggHr37q3PPvtM8fHxuvnmmxUREaHFixerurraabnKykqtWrVKNptNNpvNsQ673a5Jkyapa9eu8vHxUXh4uObPn6/KykpHnYKCAtlsNi1ZskQLFy5UeHi4fH19tWPHDs2bN082m0379u3T6NGjFRAQoMjISEmSZVnKyMhQ37591bp1awUEBGj06NH6+uuvnfbNsiwtWbJE3bt3l5+fn/r166c//vGP9e4bm82mF154QatXr9btt98uX19f9erVS5s2bXKq9+233yo5OVm9evVS27Ztdcstt+iBBx7Qrl27nOrVtb+XLl3StGnT1LdvX/n7+6tjx46KjY3VO++8U2u71q1bpzvuuEOtW7dWTEyMPv30U1mWpVdffVXh4eFq27atHnjgAX311VdOy+fn52vYsGG65ZZb5Ovrq5CQEA0dOlQnTpyod98A16oxjvGcnBw9+uij6tq1q/z8/NSjRw9NmjRJJSUl19Sm/Px8jRw5Uu3bt5e/v7/GjRunb7/91qluVlaWEhMT1aVLF7Vu3VpRUVFKTU3VhQsXnOr9y7/8i9q2batDhw4pMTFR7dq104MPPuhW+y+36+DBg3r88ccdY0RKSooqKyt19OhRPfzww2rXrp3CwsK0ZMkSp+Wrq6u1cOFCx3jRoUMH9enTR//93//doH5qaZhhMZzdbteTTz6padOmae7cudq6datmzpypkJAQPf30045TSbGxsRo9erSmTZvmtOzdd9+tm266Sb/5zW8UGRmpvLw8LVy4UAUFBVq3bp3TtpYvX67bb79dS5cuVfv27XXbbbfp008/lSSNHDlSv/zlL5WUlOQYCCZNmqT169dr8uTJeuWVV/Tdd98pLS1NcXFxOnDggIKCgiRJ8+fP1/z58zV+/HiNHj1aRUVFmjhxoqqqqnTHHXfUqx/effdd7dixQ2lpaWrTpo0yMjL0xBNPyMvLS6NHj5Ykfffdd5KkuXPnKjg4WOfPn9fWrVs1YMAAffjhhzWul3G1v2VlZfruu+80ffp03XrrrSovL9f27ds1cuRIrVu3Tk8//bTTOt5//33l5+dr8eLFstlsmjFjhoYOHapnnnlGX3/9tVasWKGzZ88qJSVFo0aN0v79+2Wz2XThwgUNHDhQ4eHhWrlypYKCgmS327Vjxw6dO3eunv86gMZzLcf4//3f/yk2NlYTJkyQv7+/CgoKtGzZMv3iF7/QoUOH5O3t3aA2PfbYYxozZoySkpJ0+PBhzZkzR1988YX+8pe/ONb5t7/9TUOGDNGUKVPUpk0bffnll3rllVf017/+VR999JHT+srLyzV8+HBNmjRJqampjj/c3G3/mDFjNG7cOE2aNEk5OTlasmSJKioqtH37diUnJ2v69On6/e9/rxkzZqhHjx4aOXKkJGnJkiWaN2+eXnrpJfXv318VFRX68ssv9cMPPzSof1ocC0ZYt26dJck6duyYoywhIcGSZP3lL39xqturVy9r0KBBTmWSrOeff96pbNKkSVbbtm2t48ePO5UvXbrUkmQdPnzYsizLOnbsmCXJioyMtMrLy53qzp0715Jk/eY3v3Eqz8vLsyRZ//mf/+lUXlRUZLVu3dr693//d8uyLOv777+3/Pz8rMcee8yp3ieffGJJshISEurolX/sW+vWrS273e4oq6ystHr27Gn16NGj1uUqKyutiooK68EHH3Tafl37W9s6xo8fb/3sZz+r0a7g4GDr/PnzjrK3337bkmT17dvXqq6udpSnp6dbkqyDBw9almVZe/bssSRZb7/99lX3H7iervUYv1J1dbVVUVFhHT9+3JJkvfPOO47fXI1zdbVp6tSpTuUbN260JFkbNmyoc9u5ubmWJOvAgQOO35555hlLkrV27do6t11X+y+368o+6du3ryXJ2rJli6OsoqLC6ty5szVy5EhH2bBhw6y+ffvWuX3UjlNChgsODtbdd9/tVNanTx8dP378qsu+//77uv/++xUSEqLKykrH5/J1Lrm5uU71hw8fXutfQqNGjaqxbpvNpnHjxjmtOzg4WHfddZd27twpScrLy9OlS5f05JNPOi0fFxen7t27X3UfLnvwwQcdf81JUqtWrTR27Fh99dVXTqdQMjMz1a9fP/n5+cnLy0ve3t768MMPdeTIkRrrrG1///CHP+i+++5T27ZtHetYs2aNy3Xcf//9atOmjeN7VFSUJGnw4MFOp+Yul1/+79ajRw8FBARoxowZyszM1BdffFHvvgCuh4Ye45J0+vRpJSUlKTQ01HHMXD6+XR039XXluDFmzBh5eXlpx44djrKvv/5a//zP/6zg4GC1atVK3t7eSkhIqHXbV+5nQ9o/bNgwp+9RUVGy2WxO1xB6eXmpR48eTmP13XffrQMHDig5OVl//vOfVVpaWp9uwP/HKSHDderUqUaZr6+v/v73v1912W+++UbvvfderSHkyvOzdd2hdOVv33zzjSzLcgoRPxURESFJOnPmjKQfg9eVXJXVpq7lz5w5o65du2rZsmWaNm2akpKStGDBAgUGBqpVq1aaM2eOy0HH1f5u2bJFY8aM0eOPP65/+7d/U3BwsLy8vLRq1SqtXbu2Rv2OHTs6fffx8amz/NKlS5Ikf39/5ebm6uWXX9asWbP0/fffq0uXLpo4caJeeumlBk+hAw3V0GO8urpaiYmJOnXqlObMmaM777xTbdq0UXV1te699956jVW1ufK49/LyUqdOnRzjyvnz5xUfHy8/Pz8tXLhQt99+u26++WYVFRVp5MiRNbZ98803q3379k5lDWm/q+P75ptvlp+fX43yn4aSmTNnqk2bNtqwYYMyMzPVqlUr9e/fX6+88opiYmLc76AWhsDSjAUGBqpPnz56+eWXXf4eEhLi9P2nMwJXuvK3wMBA2Ww27dq1y+WdNZfLLgcuu91eo47dbq/37de1Lf/TbWzYsEEDBgzQqlWrnOrVdk2Iq/3dsGGDwsPDlZWV5fR7WVlZvdrpjjvvvFObNm2SZVk6ePCg1q9fr7S0NLVu3VqpqamNvj2gLg09xj///HMdOHBA69ev1zPPPOP4/cqLzBvCbrfr1ltvdXyvrKzUmTNnHMf8Rx99pFOnTmnnzp2OWRVJtV4T4uqYv57tv5KXl5dSUlKUkpKiH374Qdu3b9esWbM0aNAgFRUVccfSVRBYmrFhw4YpOztbkZGRCggIaPR1L168WCdPntSYMWNqrXfvvffKz89PGzdudJqK3b17t44fP17vwPLhhx/qm2++cfy1V1VVpaysLEVGRqpr166SfhyMrhxYDx48qLy8PIWGhtZrOzabTT4+PjXutHJ1l1Bjsdlsuuuuu/Rf//VfWr9+vfbt23fdtgXUV32P8cvHypXH3urVq6+5DRs3blR0dLTj+//8z/+osrLScQF9Y2z7era/Lh06dNDo0aN18uRJTZkyRQUFBerVq9d13aanI7A0Y2lpacrJyVFcXJwmT56sO+64Q5cuXVJBQYGys7OVmZnp+J+9u+677z7967/+q5599lnt2bNH/fv3V5s2bVRcXKyPP/5Yd955p371q18pICBA06dP18KFCzVhwgQ9/vjjKioq0rx589w6JRQYGKgHHnhAc+bMcdwl9OWXXzrd2jxs2DAtWLBAc+fOVUJCgo4ePaq0tDSFh4c73cZdl2HDhmnLli1KTk523NG0YMECdenSRX/729/c7qfavP/++8rIyNCIESMUEREhy7K0ZcsW/fDDDxo4cGCjbQdoqPoe4z179lRkZKRSU1NlWZY6duyo9957Tzk5Odfchi1btsjLy0sDBw503CV01113OQJUXFycAgIClJSUpLlz58rb21sbN27UgQMH6r2N69n+Kz3yyCPq3bu3YmJi1LlzZx0/flzp6enq3r27brvttkbfXnNDYGnGunTpoj179mjBggV69dVXdeLECbVr107h4eF6+OGHr3nWZfXq1br33nu1evVqZWRkqLq6WiEhIbrvvvucLhT+6a3Iv/vd79SzZ09lZmZq6dKl9d7W8OHD9U//9E966aWXVFhYqMjISG3cuFFjx4511Jk9e7YuXryoNWvWaMmSJerVq5cyMzO1detWpwsE6/Lss8/q9OnTyszM1Nq1axUREaHU1FSdOHFC8+fPr3d7r+a2225Thw4dtGTJEp06dUo+Pj664447akxLA02pPse4t7e33nvvPb344ouaNGmSvLy89NBDD2n79u3q1q3bNW1/y5YtmjdvnuMZU4888ojS09Md14R16tRJ27Zt07Rp0zRu3Di1adNGjz76qLKystSvX796beN6tv9K999/vzZv3qw33nhDpaWlCg4O1sCBAzVnzhyuW6sHm2VZVlM3AqiLzWbT888/rxUrVjR1UwDcAPPmzdP8+fP17bffKjAwsKmbA0NwWzMAADAegQUAABiPU0IAAMB4zLAAAADjEVgAAIDxCCwAAMB4zeY5LNXV1Tp16pTatWtX5yPmAVwflmXp3LlzCgkJ0U03ecbfQowbQNOr79jRbALLqVOn6v34dQDXT1FRUYOfoHyjMW4A5rja2NFsAku7du0k/bjDV76NE8D1V1paqtDQUMex6AkYN4CmV9+xo9kElsvTue3bt2fgAZqQJ51aYdwAzHG1scMzTjQDAIAWjcACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgCAxwlL3aaw1G1N3QzcQAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWHBd8Qp4AEBjILAAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIzXoMCSkZGh8PBw+fn5KTo6Wrt27aqzfm5urqKjo+Xn56eIiAhlZmbWWnfTpk2y2WwaMWJEQ5oGAGhBeNZTy+F2YMnKytKUKVM0e/Zs5efnKz4+XoMHD1ZhYaHL+seOHdOQIUMUHx+v/Px8zZo1S5MnT9bmzZtr1D1+/LimT5+u+Ph49/cEAAA0W24HlmXLlmn8+PGaMGGCoqKilJ6ertDQUK1atcpl/czMTHXr1k3p6emKiorShAkT9Nxzz2np0qVO9aqqqvTkk09q/vz5ioiIaNjeAACAZsmtwFJeXq69e/cqMTHRqTwxMVG7d+92uUxeXl6N+oMGDdKePXtUUVHhKEtLS1Pnzp01fvz4erWlrKxMpaWlTh8AqAvjBuC53AosJSUlqqqqUlBQkFN5UFCQ7Ha7y2XsdrvL+pWVlSopKZEkffLJJ1qzZo1ef/31erdl0aJF8vf3d3xCQ0Pd2RUALRDjBuC5GnTRrc1mc/puWVaNsqvVv1x+7tw5jRs3Tq+//roCAwPr3YaZM2fq7Nmzjk9RUZEbewCgJWLcADyXlzuVAwMD1apVqxqzKadPn64xi3JZcHCwy/peXl7q1KmTDh8+rIKCAj3yyCOO36urq39snJeXjh49qsjIyBrr9fX1la+vrzvNB9DCMW4AnsutGRYfHx9FR0crJyfHqTwnJ0dxcXEul4mNja1R/4MPPlBMTIy8vb3Vs2dPHTp0SPv373d8hg8frvvvv1/79+9nyhYAALg3wyJJKSkpeuqppxQTE6PY2Fi99tprKiwsVFJSkqQfp1xPnjypN998U5KUlJSkFStWKCUlRRMnTlReXp7WrFmjt956S5Lk5+en3r17O22jQ4cOklSjHAAAtExuB5axY8fqzJkzSktLU3FxsXr37q3s7Gx1795dklRcXOz0TJbw8HBlZ2dr6tSpWrlypUJCQrR8+XKNGjWq8fYCHufyg54KFg9t4pYAADyB24FFkpKTk5WcnOzyt/Xr19coS0hI0L59++q9flfrAAAALRfvEgIAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYYISw1G2O9wsBAHAlAgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFN0RY6jaFpW5r6mYAADwUgQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMJ5XUzcAAID64gGULRczLAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAYJyw1G0KS93W1M2AQbyaugEAAFwN4QXMsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB53CeGG4kp/AEBDMMMCAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4DQosGRkZCg8Pl5+fn6Kjo7Vr16466+fm5io6Olp+fn6KiIhQZmam0+9btmxRTEyMOnTooDZt2qhv37763e9+15CmAQCAZsjtwJKVlaUpU6Zo9uzZys/PV3x8vAYPHqzCwkKX9Y8dO6YhQ4YoPj5e+fn5mjVrliZPnqzNmzc76nTs2FGzZ89WXl6eDh48qGeffVbPPvus/vznPzd8zwAAQLPhdmBZtmyZxo8frwkTJigqKkrp6ekKDQ3VqlWrXNbPzMxUt27dlJ6erqioKE2YMEHPPfecli5d6qgzYMAAPfbYY4qKilJkZKRefPFF9enTRx9//HHD9wwAADQbbgWW8vJy7d27V4mJiU7liYmJ2r17t8tl8vLyatQfNGiQ9uzZo4qKihr1LcvShx9+qKNHj6p///61tqWsrEylpaVOHwCoC+MG4LncCiwlJSWqqqpSUFCQU3lQUJDsdrvLZex2u8v6lZWVKikpcZSdPXtWbdu2lY+Pj4YOHarf/va3GjhwYK1tWbRokfz9/R2f0NBQd3YFQAvEuAF4rgZddGuz2Zy+W5ZVo+xq9a8sb9eunfbv36/PPvtML7/8slJSUrRz585a1zlz5kydPXvW8SkqKmrAnqCphaVu43H9uGEYNwDP5da7hAIDA9WqVasasymnT5+uMYtyWXBwsMv6Xl5e6tSpk6PspptuUo8ePSRJffv21ZEjR7Ro0SINGDDA5Xp9fX3l6+vrTvMBtHCMG4DncmuGxcfHR9HR0crJyXEqz8nJUVxcnMtlYmNja9T/4IMPFBMTI29v71q3ZVmWysrK3GkeAKCFYra2+XP7bc0pKSl66qmnFBMTo9jYWL322msqLCxUUlKSpB+nXE+ePKk333xTkpSUlKQVK1YoJSVFEydOVF5entasWaO33nrLsc5FixYpJiZGkZGRKi8vV3Z2tt58881a7zwCAAAti9uBZezYsTpz5ozS0tJUXFys3r17Kzs7W927d5ckFRcXOz2TJTw8XNnZ2Zo6dapWrlypkJAQLV++XKNGjXLUuXDhgpKTk3XixAm1bt1aPXv21IYNGzR27NhG2EUAAODp3A4skpScnKzk5GSXv61fv75GWUJCgvbt21fr+hYuXKiFCxc2pCkAAKAF4F1CAADAeAQWAABgvAadEgKuhqv1ATQEYwdqQ2CBUX46WBUsHtqELQEAmIRTQgAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPB7NDwAwFu8WwmXMsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxvJq6AQCAli0sdVtTNwEegBkWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsMBYYanbeIsrAEASgQUAAHgAAgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAACaDd7y3nwRWAAAgPEILAAAwHheTd0ANC9MxQIArgdmWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjNegwJKRkaHw8HD5+fkpOjpau3btqrN+bm6uoqOj5efnp4iICGVmZjr9/vrrrys+Pl4BAQEKCAjQQw89pL/+9a8NaRoAAGiG3A4sWVlZmjJlimbPnq38/HzFx8dr8ODBKiwsdFn/2LFjGjJkiOLj45Wfn69Zs2Zp8uTJ2rx5s6POzp079cQTT2jHjh3Ky8tTt27dlJiYqJMnTzZ8zwAAQLNhsyzLcmeBe+65R/369dOqVascZVFRURoxYoQWLVpUo/6MGTP07rvv6siRI46ypKQkHThwQHl5eS63UVVVpYCAAK1YsUJPP/20yzplZWUqKytzfC8tLVVoaKjOnj2r9u3bu7NLaETX48FxBYuHNvo60fhKS0vl7+9v9DHIuGEmxo2Wrb5jh1szLOXl5dq7d68SExOdyhMTE7V7926Xy+Tl5dWoP2jQIO3Zs0cVFRUul7l48aIqKirUsWPHWtuyaNEi+fv7Oz6hoaHu7AqAFohxA/BcbgWWkpISVVVVKSgoyKk8KChIdrvd5TJ2u91l/crKSpWUlLhcJjU1VbfeeqseeuihWtsyc+ZMnT171vEpKipyZ1cAtECMG4DnatC7hGw2m9N3y7JqlF2tvqtySVqyZIneeust7dy5U35+frWu09fXV76+vu40G0ALx7gBeC63AktgYKBatWpVYzbl9OnTNWZRLgsODnZZ38vLS506dXIqX7p0qf7jP/5D27dvV58+fdxpGgAAaMbcOiXk4+Oj6Oho5eTkOJXn5OQoLi7O5TKxsbE16n/wwQeKiYmRt7e3o+zVV1/VggUL9Kc//UkxMTHuNAsAADRzbt/WnJKSojfeeENr167VkSNHNHXqVBUWFiopKUnSj+eIf3pnT1JSko4fP66UlBQdOXJEa9eu1Zo1azR9+nRHnSVLluill17S2rVrFRYWJrvdLrvdrvPnzzfCLgIAAE/n9jUsY8eO1ZkzZ5SWlqbi4mL17t1b2dnZ6t69uySpuLjY6Zks4eHhys7O1tSpU7Vy5UqFhIRo+fLlGjVqlKNORkaGysvLNXr0aKdtzZ07V/PmzWvgrgEAgOaiQRfdJicnKzk52eVv69evr1GWkJCgffv21bq+goKChjQDAAC0ELxLCAAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8AC44WlblNY6rambgYAoAkRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAIBmhydkNz8EFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABjPq6kbgOYhLHVbUzcBANCMMcMCAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHi8rRkA0CR4yzvcwQwLAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAmq2w1G28ZLGZILAAAADjEVgAAIDxCCwAAMB4DQosGRkZCg8Pl5+fn6Kjo7Vr16466+fm5io6Olp+fn6KiIhQZmam0++HDx/WqFGjFBYWJpvNpvT09IY0CwAANFNuB5asrCxNmTJFs2fPVn5+vuLj4zV48GAVFha6rH/s2DENGTJE8fHxys/P16xZszR58mRt3rzZUefixYuKiIjQ4sWLFRwc3PC9AQAAzZLbgWXZsmUaP368JkyYoKioKKWnpys0NFSrVq1yWT8zM1PdunVTenq6oqKiNGHCBD333HNaunSpo87Pf/5zvfrqq/rlL38pX1/fhu8NAABoltwKLOXl5dq7d68SExOdyhMTE7V7926Xy+Tl5dWoP2jQIO3Zs0cVFRVuNvcfysrKVFpa6vQBgLowbgCey63AUlJSoqqqKgUFBTmVBwUFyW63u1zGbre7rF9ZWamSkhI3m/sPixYtkr+/v+MTGhra4HUBaBkYNwDP1aCLbm02m9N3y7JqlF2tvqtyd8ycOVNnz551fIqKihq8LgAtA+MG4Lm83KkcGBioVq1a1ZhNOX36dI1ZlMuCg4Nd1vfy8lKnTp3cbO4/+Pr6cr0LALcwbgCey60ZFh8fH0VHRysnJ8epPCcnR3FxcS6XiY2NrVH/gw8+UExMjLy9vd1sLgAAaIncPiWUkpKiN954Q2vXrtWRI0c0depUFRYWKikpSdKPU65PP/20o35SUpKOHz+ulJQUHTlyRGvXrtWaNWs0ffp0R53y8nLt379f+/fvV3l5uU6ePKn9+/frq6++aoRdBAAAns6tU0KSNHbsWJ05c0ZpaWkqLi5W7969lZ2dre7du0uSiouLnZ7JEh4eruzsbE2dOlUrV65USEiIli9frlGjRjnqnDp1Sj/72c8c35cuXaqlS5cqISFBO3fuvIbdAwAAzYHbgUWSkpOTlZyc7PK39evX1yhLSEjQvn37al1fWFiY40JcAACAK/EuIQAAYDwCCwAAMF6DTgkBl4WlbmvqJgAAWgBmWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4/HgOHiMyw+pK1g8tIlbAuBa8MBJNAQzLAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4Xk3dAABAyxCWuq2pmwAPxgwLAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVjg8cJSt3H3AYA6MU54PgILAAAwHoEFzQZ/QQFA88WD4+Cxagsnl8sLFg+9kc0B4AEYHzwXMywAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOPxHBYAQIvz0+c48UwWz0BggcfhabYA0PJwSggAABiPwIJmi3cLAUDzQWABAADGI7AAAADjEVgAABCnkU3HXUIAgBaNkOIZmGEBAADGI7AAAADjEVgAAIDxCCwAAMB4XHSLBuEiNQD15anjxZXt5p1DTYsZFgAAYDwCCwAAMB6nhAAA+AlPPYXV3DHDAgAAjEdgAQAAxuOUENzCVCkAoCkQWNDsXQ5Z3JII3Fj8gYPGxCkhAABgPAILAAAwHqeEAABoAJ6Ee2MxwwIAAIzXoMCSkZGh8PBw+fn5KTo6Wrt27aqzfm5urqKjo+Xn56eIiAhlZmbWqLN582b16tVLvr6+6tWrl7Zu3dqQpgG1Ckvd5vQBAHgOt08JZWVlacqUKcrIyNB9992n1atXa/Dgwfriiy/UrVu3GvWPHTumIUOGaOLEidqwYYM++eQTJScnq3Pnzho1apQkKS8vT2PHjtWCBQv02GOPaevWrRozZow+/vhj3XPPPde+l4ALdYUWpnYBXIk/dJqWzbIsy50F7rnnHvXr10+rVq1ylEVFRWnEiBFatGhRjfozZszQu+++qyNHjjjKkpKSdODAAeXl5UmSxo4dq9LSUv3xj3901Hn44YcVEBCgt956q17tKi0tlb+/v86ePav27du7s0twQ0s5YAks7vPEY9AT2+xJWsp4cRnjRsPU9zh0a4alvLxce/fuVWpqqlN5YmKidu/e7XKZvLw8JSYmOpUNGjRIa9asUUVFhby9vZWXl6epU6fWqJOenl5rW8rKylRWVub4fvbsWUk/7jiun+qyi03dhBuCf0fuu9xnbv4NdEMxbtxYLWW8uKzb1D9Ikj6fP6iJW+JZ6jt2uBVYSkpKVFVVpaCgIKfyoKAg2e12l8vY7XaX9SsrK1VSUqIuXbrUWqe2dUrSokWLNH/+/BrloaGh9d0doFb+6U3dAs917tw5+fv7N3UzXGLcwI3A+NEwVxs7GnRbs81mc/puWVaNsqvVv7Lc3XXOnDlTKSkpju/V1dX67rvv1KlTpzqXKy0tVWhoqIqKipgCvgb0Y+NpLn1pWZbOnTunkJCQpm5KrRo6bkjN579TU6MfG0dz6sf6jh1uBZbAwEC1atWqxszH6dOna8yQXBYcHOyyvpeXlzp16lRnndrWKUm+vr7y9fV1KuvQoUN9d0Xt27f3+P/IJqAfG09z6EtTZ1Yuu9ZxQ2oe/51MQD82jubSj/UZO9y6rdnHx0fR0dHKyclxKs/JyVFcXJzLZWJjY2vU/+CDDxQTEyNvb+8669S2TgAA0LK4fUooJSVFTz31lGJiYhQbG6vXXntNhYWFSkpKkvTjlOvJkyf15ptvSvrxjqAVK1YoJSVFEydOVF5entasWeN098+LL76o/v3765VXXtGjjz6qd955R9u3b9fHH3/cSLsJAAA8mduBZezYsTpz5ozS0tJUXFys3r17Kzs7W927d5ckFRcXq7Cw0FE/PDxc2dnZmjp1qlauXKmQkBAtX77c8QwWSYqLi9OmTZv00ksvac6cOYqMjFRWVtZ1eQaLr6+v5s6dW2NaGO6hHxsPfekZ+O/UOOjHxtES+9Ht57AAAADcaLxLCAAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8VpUYMnIyFB4eLj8/PwUHR2tXbt2NXWTjPO///u/euSRRxQSEiKbzaa3337b6XfLsjRv3jyFhISodevWGjBggA4fPuxUp6ysTL/+9a8VGBioNm3aaPjw4Tpx4sQN3Iumt2jRIv385z9Xu3btdMstt2jEiBE6evSoUx360nMwdtSNcaNxMG7UrcUElqysLE2ZMkWzZ89Wfn6+4uPjNXjwYKdnxkC6cOGC7rrrLq1YscLl70uWLNGyZcu0YsUKffbZZwoODtbAgQN17tw5R50pU6Zo69at2rRpkz7++GOdP39ew4YNU1VV1Y3ajSaXm5ur559/Xp9++qlycnJUWVmpxMREXbhwwVGHvvQMjB1Xx7jROBg3rsJqIe6++24rKSnJqaxnz55WampqE7XIfJKsrVu3Or5XV1dbwcHB1uLFix1lly5dsvz9/a3MzEzLsizrhx9+sLy9va1NmzY56pw8edK66aabrD/96U83rO2mOX36tCXJys3NtSyLvvQkjB3uYdxoPIwbzlrEDEt5ebn27t2rxMREp/LExETt3r27iVrleY4dOya73e7Uj76+vkpISHD04969e1VRUeFUJyQkRL17927RfX327FlJUseOHSXRl56CsePa8W+94Rg3nLWIwFJSUqKqqqoab38OCgqq8ZZo1O5yX9XVj3a7XT4+PgoICKi1TktjWZZSUlL0i1/8Qr1795ZEX3oKxo5rx7/1hmHcqMntdwl5MpvN5vTdsqwaZbi6hvRjS+7rF154QQcPHnT5Mk/60jMwdlw7/q27h3GjphYxwxIYGKhWrVrVSJenT5+ukVRRu+DgYEmqsx+Dg4NVXl6u77//vtY6Lcmvf/1rvfvuu9qxY4e6du3qKKcvPQNjx7Xj37r7GDdcaxGBxcfHR9HR0crJyXEqz8nJUVxcXBO1yvOEh4crODjYqR/Ly8uVm5vr6Mfo6Gh5e3s71SkuLtbnn3/eovrasiy98MIL2rJliz766COFh4c7/U5fegbGjmvHv/X6Y9y4iqa40rcpbNq0yfL29rbWrFljffHFF9aUKVOsNm3aWAUFBU3dNKOcO3fOys/Pt/Lz8y1J1rJly6z8/Hzr+PHjlmVZ1uLFiy1/f39ry5Yt1qFDh6wnnnjC6tKli1VaWupYR1JSktW1a1dr+/bt1r59+6wHHnjAuuuuu6zKysqm2q0b7le/+pXl7+9v7dy50youLnZ8Ll686KhDX3oGxo6rY9xoHIwbdWsxgcWyLGvlypVW9+7dLR8fH6tfv36OW8XwDzt27LAk1fg888wzlmX9eFvd3LlzreDgYMvX19fq37+/dejQIad1/P3vf7deeOEFq2PHjlbr1q2tYcOGWYWFhU2wN03HVR9KstatW+eoQ196DsaOujFuNA7GjbrZLMuybtx8DgAAgPtaxDUsAADAsxFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4/w8Jf86vqOKBSgAAAABJRU5ErkJggg==",
      "text/plain": [
       "PyPlot.Figure(PyObject <Figure size 640x480 with 2 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hellinger distance between these is: 0.09431087831024719"
     ]
    }
   ],
   "source": [
    "fig, ax = PyPlot.subplots(1, 2, sharey = true);\n",
    "true_bin_vals_inf, other_stuff = ax[1].hist(concs_ssa_1[:], bins = mod_bins, density = true);\n",
    "ax[1].set_title(\"inferred params\"); \n",
    "true_bin_vals, other_stuff = ax[2].hist(expt_c[:], bins = mod_bins, density = true);\n",
    "ax[2].set_title(\"real params\");\n",
    "print(\"Hellinger distance between these is: \", hellinger(true_bin_vals_inf[:],true_bin_vals[:])) # print the bin values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run them again!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "┌ Info: GpABC rejection simulation. ϵ = 250.0.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:47\n",
      "┌ Info: GpABC rejection simulation. Accepted 93/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 176/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 257/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 336/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 425/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC SMC simulation ϵ = 150.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 67/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 130/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 187/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 240/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 308/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 376/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 454/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 100.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 44/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 90/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 137/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 186/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 224/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 260/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 307/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 358/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 403/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 450/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 493/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 90.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 65/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 132/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 210/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 290/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 335/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 405/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 475/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 80.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 34/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 78/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 126/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 181/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 236/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 268/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 314/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 361/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 398/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 452/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 495/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 70.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 40/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 84/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 127/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 159/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 192/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 228/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 259/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 297/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 332/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 364/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 400/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 436/12000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 467/13000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 499/14000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 65.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 26/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 54/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "┌ Info: GpABC SMC simulation accepted 89/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 130/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 160/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 202/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 233/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 274/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 311/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 340/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 371/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 407/12000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 441/13000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 478/14000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 60.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 54/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 95/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 135/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 180/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 223/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 279/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 330/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 383/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 442/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 492/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 55.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 36/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 70/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 102/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 135/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 159/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 187/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 221/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 250/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 287/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 328/10000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 349/11000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 377/12000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 411/13000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 451/14000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 482/15000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n"
     ]
    },
    {
     "data": {
      "image/png": "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"
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_particles = 500;\n",
    "threshold_schedule = [250.0, 150.0, 100.0, 90.0, 80.0, 70.0, 65.0, 60.0, 55.0];\n",
    "\n",
    "priors = [Uniform(-1.0,1.2), Uniform(0.0, 1.8), Uniform(-1.0,1.0),\n",
    "          Uniform(0.0, 1.0)];\n",
    "\n",
    "sim_abcsmc_res_conc_2 = SimulatedABCSMC(filter_expt_form,\n",
    "    simulator_function_conc,\n",
    "    priors,\n",
    "    threshold_schedule,\n",
    "    n_particles;\n",
    "    write_progress=true,\n",
    "    distance_function = new_distance,\n",
    "    max_iter = convert(Int,1E5))\n",
    "\n",
    "# plot the results.\n",
    "population_colors=[\"#351D17\", \"#502C23\", \"#754134\", \"#935343\", \"#B86854\",\"#DA7E67\",\"#E57053\",\"#E75935\",\"#E84D26\",\"#E84117\",\"#CF3008\",\"#AB2402\",\"#351D17\"]\n",
    "plot(sim_abcsmc_res_conc_2, population_colors=population_colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       "  0.7537635070942015\n",
       "  0.674730144602995\n",
       " -0.23787076076030844\n",
       "  0.2551680220643151"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pars_conc_2 = [median(sim_abcsmc_res_conc_2.population[end][:,i]) for i in 1:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       " 0.5\n",
       " 1.0\n",
       " 0.0\n",
       " 1.0e-6"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_par"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Print the differences."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       "  0.2537635070942015\n",
       " -0.32526985539700504\n",
       " -0.23787076076030844\n",
       "  0.25516702206431513"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_2 = (pars_conc_2 - true_par)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "┌ Info: GpABC rejection simulation. ϵ = 250.0.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:47\n",
      "┌ Info: GpABC rejection simulation. Accepted 78/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 160/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 245/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 321/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 406/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC rejection simulation. Accepted 500/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/rejection.jl:87\n",
      "┌ Info: GpABC SMC simulation ϵ = 150.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 57/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 117/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 175/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 240/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 310/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 374/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 442/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 100.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 62/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 116/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 180/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 249/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 322/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 386/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 439/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 492/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 90.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 61/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 117/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 184/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 238/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 303/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 370/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 434/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 80.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 70/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 131/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 190/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 258/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 324/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 397/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 459/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 70.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 56/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 103/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 163/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 219/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 284/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 332/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 399/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 456/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 65.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 54/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 108/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 165/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 209/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 277/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 327/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 377/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 436/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 493/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 60.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 59/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 115/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 178/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 234/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "┌ Info: GpABC SMC simulation accepted 296/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 354/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 405/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 456/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation ϵ = 55.0\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:193\n",
      "┌ Info: GpABC SMC simulation accepted 53/1000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 99/2000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 156/3000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 200/4000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 263/5000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 323/6000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 375/7000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 426/8000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n",
      "┌ Info: GpABC SMC simulation accepted 480/9000 particles.\n",
      "└ @ GpABC /home/s1402978/.julia/packages/GpABC/cR3wm/src/abc/smc.jl:238\n"
     ]
    },
    {
     "data": {
      "image/png": "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"
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_particles = 500;\n",
    "threshold_schedule = [250.0, 150.0, 100.0, 90.0, 80.0, 70.0, 65.0, 60.0, 55.0];\n",
    "\n",
    "priors = [Uniform(-1.0,1.2), Uniform(0.0, 1.8), Uniform(-1.0,1.0),\n",
    "          Uniform(0.0, 1.0)];\n",
    "\n",
    "sim_abcsmc_res_conc_3 = SimulatedABCSMC(filter_expt_form,\n",
    "    simulator_function_conc,\n",
    "    priors,\n",
    "    threshold_schedule,\n",
    "    n_particles;\n",
    "    write_progress=true,\n",
    "    distance_function = new_distance,\n",
    "    max_iter = convert(Int,1E5))\n",
    "\n",
    "# plot the results.\n",
    "population_colors=[\"#351D17\", \"#502C23\", \"#754134\", \"#935343\", \"#B86854\",\"#DA7E67\",\"#E57053\",\"#E75935\",\"#E84D26\",\"#E84117\",\"#CF3008\",\"#AB2402\",\"#351D17\"]\n",
    "plot(sim_abcsmc_res_conc_3, population_colors=population_colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       "  1.0181137310982395\n",
       "  0.6548742766670919\n",
       " -0.48095426427645915\n",
       "  0.23356003771611014"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pars_conc_3 = [median(sim_abcsmc_res_conc_3.population[end][:,i]) for i in 1:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       " 0.5\n",
       " 1.0\n",
       " 0.0\n",
       " 1.0e-6"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_par"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Print the differences."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4-element Array{Float64,1}:\n",
       "  0.5181137310982395\n",
       " -0.34512572333290814\n",
       " -0.48095426427645915\n",
       "  0.23355903771611014"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_3 = (pars_conc_3 - true_par)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary of results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The model that we are attempting to infer the parameter for is:\n",
    "$$\\varnothing \\xrightarrow{a_1(t)}m\\, P\\xrightarrow{d}\\varnothing,$$\n",
    "where $a_1(t) = \\alpha_0 V(t)^{\\alpha_1}$ and $m$ is a random number drawn from a geometric distribution with time-dependent mean burst size $b(t) = \\beta_0 V(t)^{\\beta_1}$ and degradation rate $d = 0$. The volume of the system grows according to exponential growth law: $V(t) = V_0 e^{\\theta t}$. Later on in this sheet we also go onto assess the minimum threshold for the SMC-ABC data. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see the inferred medians of the posterior distributions in some tables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "using DataFrames;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "par_conc = convert(Array{Float64,2},transpose([true_par pars_conc_1 pars_conc_2 pars_conc_3]));\n",
    "df_conc = DataFrame(alpha_0 = 10.0 .^par_conc[:,1], alpha_1 = par_conc[:,2], beta_0 = 10.0 .^par_conc[:,3], beta_1 = par_conc[:,4]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"data-frame\"><thead><tr><th></th><th>alpha_0</th><th>alpha_1</th><th>beta_0</th><th>beta_1</th></tr><tr><th></th><th>Float64</th><th>Float64</th><th>Float64</th><th>Float64</th></tr></thead><tbody><p>4 rows × 4 columns</p><tr><th>1</th><td>3.16228</td><td>1.0</td><td>1.0</td><td>1.0e-6</td></tr><tr><th>2</th><td>6.59575</td><td>0.919526</td><td>0.416844</td><td>0.172198</td></tr><tr><th>3</th><td>5.67236</td><td>0.67473</td><td>0.578268</td><td>0.255168</td></tr><tr><th>4</th><td>10.4259</td><td>0.654874</td><td>0.330404</td><td>0.23356</td></tr></tbody></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{r|cccc}\n",
       "\t& alpha\\_0 & alpha\\_1 & beta\\_0 & beta\\_1\\\\\n",
       "\t\\hline\n",
       "\t& Float64 & Float64 & Float64 & Float64\\\\\n",
       "\t\\hline\n",
       "\t1 & 3.16228 & 1.0 & 1.0 & 1.0e-6 \\\\\n",
       "\t2 & 6.59575 & 0.919526 & 0.416844 & 0.172198 \\\\\n",
       "\t3 & 5.67236 & 0.67473 & 0.578268 & 0.255168 \\\\\n",
       "\t4 & 10.4259 & 0.654874 & 0.330404 & 0.23356 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "4×4 DataFrame\n",
       "│ Row │ alpha_0 │ alpha_1  │ beta_0   │ beta_1   │\n",
       "│     │ \u001b[90mFloat64\u001b[39m │ \u001b[90mFloat64\u001b[39m  │ \u001b[90mFloat64\u001b[39m  │ \u001b[90mFloat64\u001b[39m  │\n",
       "├─────┼─────────┼──────────┼──────────┼──────────┤\n",
       "│ 1   │ 3.16228 │ 1.0      │ 1.0      │ 1.0e-6   │\n",
       "│ 2   │ 6.59575 │ 0.919526 │ 0.416844 │ 0.172198 │\n",
       "│ 3   │ 5.67236 │ 0.67473  │ 0.578268 │ 0.255168 │\n",
       "│ 4   │ 10.4259 │ 0.654874 │ 0.330404 │ 0.23356  │"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_conc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 1.5.2",
   "language": "julia",
   "name": "julia-1.5"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "1.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}