v2_TE_AC_Example notebook Hydra_multiple_a.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run Model\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "running file: run.py\n",
      "running file: asset_utils.py\n",
      "end of file: asset_utils.py\n",
      "running file: sim_setup.py\n",
      "end of file: sim_setup.py\n",
      "end of file: run.py\n",
      "\n",
      "                  ___________    ____\n",
      "  ________ __ ___/ / ____/   |  / __ \\\n",
      " / ___/ __` / __  / /   / /| | / / / /\n",
      "/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
      "\\___/\\__,_/\\__,_/\\____/_/  |_/_____/\n",
      "by cadCAD\n",
      "\n",
      "Execution Mode: local_proc\n",
      "Configuration Count: 1\n",
      "Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (100, 15, 3, 24)\n",
      "Execution Method: local_simulations\n",
      "SimIDs   : [0, 0, 0]\n",
      "SubsetIDs: [0, 1, 2]\n",
      "Ns       : [0, 1, 2]\n",
      "ExpIDs   : [0, 0, 0]\n",
      "Execution Mode: parallelized\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3962.3210018685786\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  253.26919483183883\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3934.528326811269\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  255.05303271033335\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3907.08939157438\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  256.83903549739625\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3879.9983053145697\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3843.982312350534\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3808.4603561268887\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  263.4741952016484\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  262.839616633486\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3791.7946226060158\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3757.3195922997547\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3723.307702235761\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3689.750747985323\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  271.9143360077869\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3665.600012111594\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3632.8104116013274\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3600.454266607412\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3568.524020557641\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3537.0122801220277\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3505.9118110174313\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3475.2155339263845\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3444.9165205485187\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3415.0079897552496\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  293.7268422273919\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3394.1160680181347\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3364.858558133943\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3335.9738884213148\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3307.455791596556\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  303.2515636619646\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3287.79926879087\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3259.8891818360426\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  307.66424980177544\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3240.7716065713903\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  309.4742142322939\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3221.8693431869615\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3194.784472790663\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  313.9166962346062\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3176.397070622421\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3149.8766822476173\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  318.37996444827877\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3131.987842240487\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3106.015023946995\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  322.86371629475616\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3088.6090752765303\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3063.1675498600816\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3038.0359734928934\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3013.2093638876686\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2988.682838035049\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2964.4516098563327\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  338.2392090712674\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  337.3128414670937\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2956.652500769822\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2932.8051728657447\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  341.87917462782934\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  340.93767352751456\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  340.0000947348308\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  339.06641641515307\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2941.402033532737\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2917.7367937607924\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2894.3532195547596\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2871.2468869708246\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  349.1891895113513\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  348.2170475507155\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  347.2489995053038\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2872.2728526118444\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2849.4273286180105\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  351.8559883029666\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2834.7639935400803\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2812.3593188229715\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2790.216644396074\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  359.3026897306554\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  358.28761355625466\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2784.010223085177\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  360.1015693556983\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2770.0230408721836\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2748.372721074964\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  364.75853200629354\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2734.74983728549\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  366.57074674754404\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2721.265449437662\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2700.177712446195\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2679.3318072785623\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2658.7240733793005\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  377.02489373623393\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2646.0047820204636\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  378.83249541092664\n",
      "49739.62110467949\n",
      "Ri_plus =  1031112.0829486477\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2633.2993288618745\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  380.66566832817625\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  379.54549565305933\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  378.43030603893567\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  377.32006988022476\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  376.21475779195316\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2651.616680760286\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2631.098334283917\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  380.9832656081999\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  379.86167874839157\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3961.3399870094145\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3922.265812489204\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3883.766934977495\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3845.8321160102496\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3808.450390218408\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3771.611057406408\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3735.3036748914747\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  268.66279643715825\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  267.96885653340723\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  267.28096106508747\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3728.3268462356646\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3692.9864579899004\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3658.1461808063323\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3623.796622719965\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  276.89494030131027\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  276.1759452195838\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  275.45974695845507\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3617.955341299763\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  277.3406516739633\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3593.491738330107\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3560.046698557446\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3527.066411264008\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  284.4658031433355\n",
      " R to R swap called \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3503.7483654585667\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3471.5455214795657\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  289.00167382042855\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3448.9186374404235\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  290.89205452869646\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  290.11789571889676\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  289.3468232364394\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  288.5788206977304\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3453.957382333232\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  290.46894731814973\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  289.6964758115355\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  288.9270816727076\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  288.1607485774439\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.39746030885726\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  286.63720075786114\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  285.8799539222382\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3486.467761198641\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.7683961370494\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.006665217923\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3472.821262479294\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3441.0428816336207\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  291.55586705799215\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  290.77905857237056\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3427.899165367475\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  292.6704783679452\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  291.8892140283715\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3414.900026876363\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3383.911560146138\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  296.46361837512814\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  295.6671269303188\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3371.3933084595483\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3340.993830070249\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  300.2606632229872\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  299.4488313840702\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  298.6402875937056\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  297.83501412020996\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  297.032993350178\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3355.935776810278\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3325.74465791462\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  301.6333685081918\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  300.8159669043962\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3313.855237892829\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  302.7123899133876\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3293.1551136714406\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3263.80535140913\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  307.34076331555843\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  306.50006854883395\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  305.66281850403175\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3261.4598830507603\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  307.5611416916363\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  306.7195431527216\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  305.88139427104034\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3259.1360961756436\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  307.77979536773637\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3239.09182510362\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3210.460256453487\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3182.206645391532\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3154.324368636124\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  317.97651474759914\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3135.5176665468607\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3108.2454413824016\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  322.6767349024303\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3089.974948002491\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  324.57916171010584\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  323.6668055760674\n",
      "49678.90692546294\n",
      "Ri_plus =  1010781.3820890835\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3080.4085740046576\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  325.5943632221315\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3062.2703963965178\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  327.51728476863354\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  326.58273409318645\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3053.0294883319875\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  328.50573704286944\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3035.2091653500684\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3008.9586561555043\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  2983.0472284748685\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3960.3595544807613\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3919.3680658609373\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3879.015615856624\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  258.7860314712161\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3849.510340962559\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  260.762984453002\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  260.066649576067\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3830.616622606176\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  262.044904326438\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  261.34686893504113\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  260.6549723977223\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3822.138610464055\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  262.6146345329471\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3793.709424183704\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  264.57619101926684\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  263.87156412936747\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3775.6967175028985\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  265.83430170454085\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  265.1246946316678\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  264.417897925945\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3767.9206414474174\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3730.265329839778\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3693.1769793024287\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  271.75467080413364\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  271.02147435909137\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  270.2912130027544\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3686.305927561363\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3649.875759352115\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3613.988008597167\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3578.631897058105\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3543.796913911705\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  283.1724466413725\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  282.39304842893034\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  281.61683340137824\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3538.5187653283356\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  283.5934919563588\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3513.932890945114\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3480.044719271711\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  288.34340554312803\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.54278041422367\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  286.74545410554856\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  285.9514085792471\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  285.16062592109665\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3494.6824632511707\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.1394662761595\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  286.343800050905\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  285.5514055409003\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  284.7622648922261\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3499.555824544397\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3465.8768452760996\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  289.5183728262782\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3442.2458282646257\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  291.49963179556653\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  290.68595859757625\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  289.87565580336377\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  289.06870488636196\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  288.26508744666353\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.46478520939127\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  286.6677800256293\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  285.87405387009494\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  285.0835888395086\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3495.623838585452\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.06238382682204\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  286.26703475182876\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3481.2181811479386\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  288.24651663564146\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  287.44629095634446\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3466.981272118399\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3433.7746396879666\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3401.0471875563962\n",
      " R to R swap called \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  295.0195551114157\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3378.257945780293\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  297.00345774763264\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3355.762259936193\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  298.98820321820676\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3333.5551427573664\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3302.2594956569374\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  303.8171518659219\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3280.7338573740562\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  305.804353200132\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  304.93068320467137\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3268.7904314002953\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  306.9182220038492\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3247.6876104715047\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  308.90631904057227\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  308.019455013331\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  307.1363698365167\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3245.388012432377\n",
      "49802.8633622178\n",
      "Ri_plus =  1003709.265418476\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  309.1198602123186\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  308.2227906247135\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  307.32958564464934\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3243.244423219934\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3212.9074632156407\n",
      " R to R swap called \n",
      " R added to pool of  j  =  1000\n",
      " R removed from pool of  i  =  312.25034174567554\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3192.291766433278\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3162.6714626855683\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3133.465098222485\n",
      " R to R swap called \n",
      " R added to pool of  i  =  1000\n",
      " R removed from pool of  j  =  3104.6649521735962\n",
      "Total execution time: 0.86s\n"
     ]
    }
   ],
   "source": [
    "# Dependences\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Experiments\n",
    "from model import run\n",
    "from model.parts.utils import *\n",
    "from model.plot_utils import *\n",
    "\n",
    "pd.options.display.float_format = '{:.2f}'.format\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "df = run.run()\n",
    "rdf = run.postprocessing(df)\n",
    "# rdf = df # debugging substeps\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interpretation of Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creation of Results\n",
    "\n",
    "Before moving to the interpretation and analysis we first create and prepare the results: sometimes just to see whether the experiment is running corectly and sometimes to see into the results for analysis\n",
    "\n",
    "The following command lines creates views based on the simulation results.\n",
    "\n",
    "- the `model_history`, counting for the i-th base asset, the risk asset and the shares of the risk asset respectively.\n",
    "- the `uniswap_j`, counting for the j-th base asset, the risk asset and the shares of the risk asset respectively.,\n",
    "- the `uniswap_ij` counting for the i-j asset, the risk asset and the shares of the risk asset respectively, and\n",
    "- `hydra`, counting the base asset amount in the pool, the total base asset supply and the shares of the base asset respectively.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "hydra = rdf[['Q', 'H', 'Sq']]\n",
    "hydra.columns = ['Hydra_Q', 'Hydra_H', 'Hydra_Sq']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Risk assets in the Omnipool - the `pool` variable \n",
    "\n",
    "The `pool` variable is the risk-asset side of the Omnipool in the Hydra world.\n",
    "\n",
    "For each asset in the Omnipool this variable tracks its quantities:\n",
    "\n",
    "- $R$ (asset quantity),\n",
    "- $S$ (share quantity),\n",
    "- $C$ (coefficient),\n",
    "- $P$ (price) and \n",
    "- $dP$ (change in price).\n",
    "\n",
    "To locate specific values in the `pool` dataframe \n",
    "- `first_valid_index()`\n",
    "- `first_valid_index()*x`\n",
    "- `last_valid_index()`\n",
    "\n",
    "can be used for any integer value $x$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'model.parts.v2_asset_utils.V2_Asset'>: {'pool': {'i': {'R': 1001000, 'S': 1000000, 'C': 1, 'P': 3.1908945366041404, 'dP': -0.006065427743461083}, 'j': {'R': 996037.6789981314, 'S': 1000000, 'C': 0.2511886431509577, 'P': 0.8091205642640924, 'dP': 0.006080528611684288}}}\n"
     ]
    }
   ],
   "source": [
    "print(rdf.pool[rdf.first_valid_index()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'i': {'R': 1001000,\n",
       "  'S': 1000000,\n",
       "  'C': 1,\n",
       "  'P': 3.1908945366041404,\n",
       "  'dP': -0.006065427743461083},\n",
       " 'j': {'R': 996037.6789981314,\n",
       "  'S': 1000000,\n",
       "  'C': 0.2511886431509577,\n",
       "  'P': 0.8091205642640924,\n",
       "  'dP': 0.006080528611684288}}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf.pool[rdf.first_valid_index()].pool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'i': {'R': 1055234.8387369604,\n",
       "  'S': 1049739.6211046795,\n",
       "  'C': 1.0966171155314,\n",
       "  'P': 3.165402109618906,\n",
       "  'dP': -4.440892098500626e-16},\n",
       " 'j': {'R': 979663.6203059538,\n",
       "  'S': 1000000,\n",
       "  'C': 0.2511886431509577,\n",
       "  'P': 0.8350085721710558,\n",
       "  'dP': 1.1102230246251565e-16}}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf.pool[rdf.first_valid_index()*10].pool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'i': {'R': 1025201.2780457742,\n",
       "  'S': 1000000.0,\n",
       "  'C': 0.9999999999999999,\n",
       "  'P': 2.8867602624159097,\n",
       "  'dP': -0.005922128989417352},\n",
       " 'j': {'R': 908730.4412132751,\n",
       "  'S': 1000000,\n",
       "  'C': 0.2511886431509577,\n",
       "  'P': 0.934106188583859,\n",
       "  'dP': 0.006666532711341544}}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf.pool[rdf.last_valid_index()].pool"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Representing results in table form"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['UNI_Qi', 'UNI_Ri', 'UNI_Si', 'UNI_Qj', 'UNI_Rj', 'UNI_Sj', 'UNI_ij',\n",
       "       'UNI_ji', 'UNI_Sij', 'uni_agents', 'UNI_P_RQi', 'UNI_P_RQj', 'UNI_P_ij',\n",
       "       'pool', 'Q', 'H', 'Sq', 'Y', 'hydra_agents', 'C', 'asset_random_choice',\n",
       "       'trade_random_size', 'trade_random_direction', 'purchased_asset_id',\n",
       "       'simulation', 'subset', 'run', 'substep', 'timestep'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf.columns\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The simulation results and variable quantities can be shown in table form where\n",
    "\n",
    "- `head(n)`\n",
    "- `tail(n)`\n",
    "\n",
    "can be used to target the $n$ specific entries.\n",
    "\n",
    "##### The columns show:\n",
    "##### for the uniswap universe\n",
    "- `UNI_Qi`...the quantity of the i-th assets base\n",
    "- `UNI_Ri`...the quantity of the i-th assets risk\n",
    "- `UNI_Si`...the quantity of the i-th assets shares\n",
    "- `UNI_Qj`...the quantity of the j-th assets base\n",
    "- `UNI_Rj`...the quantity of the j-th assets risk\n",
    "- `UNI_Sj`...the quantity of the j-th assets shares\n",
    "- `UNI_ij`...the quantity of the ji assets base\n",
    "- `UNI_ji`...the quantity of the ij assets risk\n",
    "- `UNI_Sij`...the quantity of the ij assets shares\n",
    "- `uni_agents`...the definition of the actions of the uniswap agents\n",
    "- `UNI_P_RQi`...the price of the i-th risk asset in terms of Q\n",
    "- `UNI_P_RQj`...the price of the j-th risk asset in terms of Q\n",
    "- `UNI_P_RQj`...the price of the ij risk asset in terms of Q\n",
    "\n",
    "##### for the hydra universe\n",
    "- `pool`...the definition of the pool variable\n",
    "- `Q`...the quantity of the base asset in the hydra pool\n",
    "- `H`...the total quantity of the base asset in the hydra system\n",
    "- `Sq`...total quantity of shares of the base asset\n",
    "- `Y`...the pool constant\n",
    "- `hydra_agents`...the definition of the actions of the hydra agents\n",
    "\n",
    "##### for the trades\n",
    "- `asset_random_choice`...which risk asset is traded in and which out\n",
    "- `trade_random_size`...the size of the trade\n",
    "- `trade_random_direction`...the trade action\n",
    "- `purchased_asset_id`...which asset is purchased\n",
    "\n",
    "##### simulation parameters\n",
    "- `simulation`...simulation number\n",
    "- `subset`...subset number\n",
    "- `run`...run number\n",
    "- `substep`...substep number\n",
    "- `timestep`...timestep of simulation\n",
    "\n",
    "Notice, that due to postprocessing of the simulation results this table always shows the forth substep of each timestep only."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UNI_Qi</th>\n",
       "      <th>UNI_Ri</th>\n",
       "      <th>UNI_Si</th>\n",
       "      <th>UNI_Qj</th>\n",
       "      <th>UNI_Rj</th>\n",
       "      <th>UNI_Sj</th>\n",
       "      <th>UNI_ij</th>\n",
       "      <th>UNI_ji</th>\n",
       "      <th>UNI_Sij</th>\n",
       "      <th>uni_agents</th>\n",
       "      <th>...</th>\n",
       "      <th>C</th>\n",
       "      <th>asset_random_choice</th>\n",
       "      <th>trade_random_size</th>\n",
       "      <th>trade_random_direction</th>\n",
       "      <th>purchased_asset_id</th>\n",
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       "    <tr>\n",
       "      <th>890</th>\n",
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       "      <td>1000000</td>\n",
       "      <td>1000000</td>\n",
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       "      <td>m   r_i_out    r_i_in         h       q_i  ...</td>\n",
       "      <td>...</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>j</td>\n",
       "      <td>1000</td>\n",
       "      <td>test_r_for_r</td>\n",
       "      <td>i</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>893</th>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>m   r_i_out    r_i_in         h       q_i  ...</td>\n",
       "      <td>...</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>i</td>\n",
       "      <td>1000</td>\n",
       "      <td>test_r_for_r</td>\n",
       "      <td>j</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>m   r_i_out    r_i_in         h       q_i  ...</td>\n",
       "      <td>...</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>i</td>\n",
       "      <td>1000</td>\n",
       "      <td>test_r_for_r</td>\n",
       "      <td>j</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>m   r_i_out    r_i_in         h       q_i  ...</td>\n",
       "      <td>...</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>i</td>\n",
       "      <td>1000</td>\n",
       "      <td>test_r_for_r</td>\n",
       "      <td>j</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>99</td>\n",
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       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>2000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>m   r_i_out    r_i_in         h       q_i  ...</td>\n",
       "      <td>...</td>\n",
       "      <td>1000000000000</td>\n",
       "      <td>i</td>\n",
       "      <td>1000</td>\n",
       "      <td>test_r_for_r</td>\n",
       "      <td>j</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      UNI_Qi   UNI_Ri  UNI_Si   UNI_Qj   UNI_Rj  UNI_Sj   UNI_ij   UNI_ji  \\\n",
       "890  2000000  1000000   10000  2000000  1000000   10000  1000000  1000000   \n",
       "893  2000000  1000000   10000  2000000  1000000   10000  1000000  1000000   \n",
       "896  2000000  1000000   10000  2000000  1000000   10000  1000000  1000000   \n",
       "899  2000000  1000000   10000  2000000  1000000   10000  1000000  1000000   \n",
       "902  2000000  1000000   10000  2000000  1000000   10000  1000000  1000000   \n",
       "\n",
       "           UNI_Sij                                         uni_agents  ...  \\\n",
       "890  1000000000000     m   r_i_out    r_i_in         h       q_i  ...  ...   \n",
       "893  1000000000000     m   r_i_out    r_i_in         h       q_i  ...  ...   \n",
       "896  1000000000000     m   r_i_out    r_i_in         h       q_i  ...  ...   \n",
       "899  1000000000000     m   r_i_out    r_i_in         h       q_i  ...  ...   \n",
       "902  1000000000000     m   r_i_out    r_i_in         h       q_i  ...  ...   \n",
       "\n",
       "                 C  asset_random_choice  trade_random_size  \\\n",
       "890  1000000000000                    j               1000   \n",
       "893  1000000000000                    i               1000   \n",
       "896  1000000000000                    i               1000   \n",
       "899  1000000000000                    i               1000   \n",
       "902  1000000000000                    i               1000   \n",
       "\n",
       "    trade_random_direction  purchased_asset_id  simulation  subset  run  \\\n",
       "890           test_r_for_r                   i           0       2    2   \n",
       "893           test_r_for_r                   j           0       2    2   \n",
       "896           test_r_for_r                   j           0       2    2   \n",
       "899           test_r_for_r                   j           0       2    2   \n",
       "902           test_r_for_r                   j           0       2    2   \n",
       "\n",
       "    substep  timestep  \n",
       "890       3        96  \n",
       "893       3        97  \n",
       "896       3        98  \n",
       "899       3        99  \n",
       "902       3       100  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The pools and global states"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Global State Variables for Hydra instance\n",
    "\n",
    "The Hydra system state can be described with the following global variables:\n",
    "\n",
    "| Symbol | Name | Definition  | Domain |  | Unit | | \n",
    "| --------|------- | -------- | -------- | -------- | -------- |-------|\n",
    "| $H$     | HDX Total Supply     | Supply is the total quantity of the native protocol token (HDX).|  ${\\mathbb{R}_{++}}$| | HDX; an amount in real positive numbers\n",
    "| $Q$     | Base Pool Liquidity     | Base Pool Liquidity is the total quantity of the base asset (HDX) inside Pool.|  ${\\mathbb{R}_{+}}$| | HDX; a positive real number if a pool has at least one risk asset\n",
    "| $\\mathbf{\\vec{R}}$ | Reserve Risk Assets     | An $n$-dimensional vector whose components are quantities of risk assets provided to the Liquidity Pool by liquidity providers.      |  $\\mathbb{R}_{++}^{n}$ | | BTC, ETH, DOT,...; a vector of real positive numbers denoting quantities of each asset in the pool.\n",
    "| $\\mathbf{\\vec{S}}$     | Asset Shares     | Asset Shares are non-normalized values of each risk asset in the pool which are minted and distributed to the liquidity providers at time of inception of their asset into the Liquidity Pool. |  $\\mathbb{R}_{++}^{n}$ | | a vector of real positive numbers\n",
    "| $S^Q$     | Base Pool Share     | The Pool value share of the base asset (HDX), i.e. claims on $Q$.|  $\\mathbb{R}_{+}$ | | HDX; a real positive number if there exists at least one risk asset in the pool\n",
    "| $\\mathbf{{P}}$     | Price    | The Price is a (n+1)x(n+1) Matrix listing all spot prices for all risk assets present in the Liquidity pool. Its components $p_{i,j}$ are the prices of the i-th asset denoted in the j-th asset.| $\\mathbb{R}_{++}^{n\\times n}$ | | f.e: ETH/HDX; depending on the component $p_{ij}$ of the matrix the unit is currency$_i$ / currency$_j$ where for the above example $i$ is ETH and $j$ is HDX. |\n",
    "| $\\vec{p}^Q$     | Asset Base Price    | The Asset Base Price is a vector listing the spot prices of all risk assets in the pool in terms of the base asset HDX. | $\\mathbb{R}^n_{++}$ | | A real number representing the rate of exchange between a risk asset and HDX, e.g. ETH/HDX. |\n",
    "\n",
    "\n",
    "Notice that $H$, $Q$ and $S^Q$ represent the Base side of the Omnipool and are tracked separately in the Hydra World whereas the other variables representing the Risk side of the Omnipool are encoded in $\\mathbf{\\vec{R}}$ , $\\mathbf{\\vec{S}}$  are tracked by the `pool` variable"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hydra World\n",
    "### Base Asset side of the Omnipool\n",
    "### Quantities of the base asset in the pool and in the system, and the base-shares\n",
    "\n",
    "The following command lines create three plots that show: (for the base asset)\n",
    "- on the left: the quantity of base asset in the pool `Hydra_Q` \n",
    "- center: the total quantity of base asset in the system `Hydra_H` \n",
    "- on the right: the quantity of base asset shares `Hydra_Sq`\n",
    "\n",
    "over the simulation steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,6))\n",
    "ax = plt.subplot(131)\n",
    "hydra.astype(float).plot(ax=ax, y=['Hydra_Q'])\n",
    "plt.title('Hydra Q in OmniPool')\n",
    "\n",
    "ax = plt.subplot(132) \n",
    "hydra.astype(float).plot(ax=ax, y=['Hydra_H'])\n",
    "plt.title('Hydra H Total')\n",
    "\n",
    "ax = plt.subplot(133)\n",
    "hydra.astype(float).plot(ax=ax, y=['Hydra_Sq'])\n",
    "plt.title('Hydra Sq Shares in OmniPool')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pool variable `Y` \n",
    "should change for liquidity events and remain constant under swaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3     779585.16\n",
       "6     779585.16\n",
       "9     779585.16\n",
       "12    779585.16\n",
       "15    779585.16\n",
       "         ...   \n",
       "890   787842.11\n",
       "893   787842.11\n",
       "896   787842.11\n",
       "899   787842.11\n",
       "902   787842.11\n",
       "Name: Y, Length: 300, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf.Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# gca stands for 'get current axis'\n",
    "ax = plt.gca()\n",
    "\n",
    "df.plot(kind='line',x='timestep',y='Y',ax=ax)\n",
    "df.plot(kind='line',x='timestep',y='Y', color='red', ax=ax)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Agents and their Local State Variables\n",
    "\n",
    "The following section tracks the development for the agent states.\n",
    "As every agent is defined to be responsible for a different action and all agent states are shown this section can be used to assess \n",
    "- the intentional changes in the local states directly affected by the actions, and\n",
    "- the unintentional changes in local states of other agents who are indirectly affected\n",
    "\n",
    "All agents carry the following local states:\n",
    "\n",
    "| Symbol | Name | Definition  | Domain |   | Unit\n",
    "| -------- | -------- | -------- | -------- | -------- | --------|\n",
    "| $\\mathbf{r}^j$     | Reserve Assets     | Reserve Assets are quantities of privately held risk assets by liquidity provider agent $j$ which are not (yet) related to the Liquidity Pool. |  $\\mathbb{R}_{+}^{n}$| | BTC, ETH, DOT,...; an amount in real non-negative numbers denoted in the respective currency unit\n",
    "| $h^j$     | Base Asset     | Total Base Asset (HDX) amount of $H$ held by agent $j$. |  $\\mathbb{R}_{+}$| | a real non-negative amount of HDX |\n",
    "| $\\mathbf{s}^j$     | Risk Asset Shares     | Risk Asset Share as value of liquidity provider agent $j$'s contribution of risk asset(s) to the Liquidity Pool, minted and distributed (as a claim) to agent $j$ at the time of introduction into the Pool.| $\\mathbb{R}_{+}^{n}$  | |a vector of amounts in real non-negative numbers\n",
    "| $s^{qj}$     | Base Asset Share     | Base Asset (HDX) share as value of liquidity provider agent $j$'s contribution of HDX to the Liquidity Pool,  minted and distributed to agent $j$ (as a claim) at the time of introduction into the Pool.| $\\mathbb{R}_{+}$  | |a real non-negative number\n",
    "\n",
    "To locate specific values in the dataframe the commands\n",
    "- `first_valid_index()`\n",
    "- `first_valid_index()*x`\n",
    "- `last_valid_index()`\n",
    "\n",
    "can be used.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hydra World\n",
    "\n",
    "Results for the copy of the agents going through the Hydra world are saved in `hydra_agents`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>m</th>\n",
       "      <th>r_i_out</th>\n",
       "      <th>r_i_in</th>\n",
       "      <th>h</th>\n",
       "      <th>q_i</th>\n",
       "      <th>s_i</th>\n",
       "      <th>s_q</th>\n",
       "      <th>r_j_out</th>\n",
       "      <th>r_j_in</th>\n",
       "      <th>q_j</th>\n",
       "      <th>s_j</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>99000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>123962.32</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>1000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>1000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   m   r_i_out    r_i_in         h       q_i       s_i  s_q   r_j_out  \\\n",
       "0  0 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "1  1 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "2  2 100000.00 110000.00 140000.00 170000.00      0.00 0.00 120000.00   \n",
       "3  3 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "4  4 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "5  5  99000.00 110000.00 140000.00 170000.00 150000.00 0.00 123962.32   \n",
       "6  6   1000.00      0.00     10.00      0.00      0.00 0.00      0.00   \n",
       "7  7   1000.00      0.00      0.00      0.00      0.00 0.00      0.00   \n",
       "\n",
       "     r_j_in       q_j       s_j  \n",
       "0 130000.00 180000.00 160000.00  \n",
       "1 130000.00 180000.00 160000.00  \n",
       "2 130000.00 180000.00 160000.00  \n",
       "3 130000.00 180000.00 160000.00  \n",
       "4 130000.00 180000.00 160000.00  \n",
       "5 130000.00 180000.00 160000.00  \n",
       "6      0.00      0.00      0.00  \n",
       "7      0.00      0.00      0.00  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf['hydra_agents'][rdf.first_valid_index()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>2</th>\n",
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       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
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       "      <td>150000.00</td>\n",
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       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>100000.00</td>\n",
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       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
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       "      <th>5</th>\n",
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       "      <td>95291.48</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>138336.38</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
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       "      <th>6</th>\n",
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       "      <td>10.00</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.00</td>\n",
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       "   m   r_i_out    r_i_in         h       q_i       s_i  s_q   r_j_out  \\\n",
       "0  0 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "1  1 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "2  2  50000.00 160000.00 140000.00 170000.00  49739.62 0.00 120000.00   \n",
       "3  3 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "4  4 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "5  5  95291.48 110000.00 140000.00 170000.00 150000.00 0.00 138336.38   \n",
       "6  6   1000.00      0.00     10.00      0.00      0.00 0.00      0.00   \n",
       "7  7   1000.00      0.00      0.00      0.00      0.00 0.00      0.00   \n",
       "\n",
       "     r_j_in       q_j       s_j  \n",
       "0 130000.00 180000.00 160000.00  \n",
       "1 130000.00 180000.00 160000.00  \n",
       "2 130000.00 180000.00 160000.00  \n",
       "3 130000.00 180000.00 160000.00  \n",
       "4 130000.00 180000.00 160000.00  \n",
       "5 130000.00 180000.00 160000.00  \n",
       "6      0.00      0.00      0.00  \n",
       "7      0.00      0.00      0.00  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf['hydra_agents'][rdf.first_valid_index()*12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
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       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
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       "      <th>4</th>\n",
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       "      <td>100000.00</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>120000.00</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>73977.98</td>\n",
       "      <td>110000.00</td>\n",
       "      <td>140000.00</td>\n",
       "      <td>170000.00</td>\n",
       "      <td>150000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>211269.56</td>\n",
       "      <td>130000.00</td>\n",
       "      <td>180000.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>1000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>1000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   m   r_i_out    r_i_in         h       q_i       s_i  s_q   r_j_out  \\\n",
       "0  0 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "1  1 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "2  2 100820.74 109179.26 140000.00 170000.00      0.00 0.00 120000.00   \n",
       "3  3 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "4  4 100000.00 110000.00 140000.00 170000.00 150000.00 0.00 120000.00   \n",
       "5  5  73977.98 110000.00 140000.00 170000.00 150000.00 0.00 211269.56   \n",
       "6  6   1000.00      0.00     10.00      0.00      0.00 0.00      0.00   \n",
       "7  7   1000.00      0.00      0.00      0.00      0.00 0.00      0.00   \n",
       "\n",
       "     r_j_in       q_j       s_j  \n",
       "0 130000.00 180000.00 160000.00  \n",
       "1 130000.00 180000.00 160000.00  \n",
       "2 130000.00 180000.00 160000.00  \n",
       "3 130000.00 180000.00 160000.00  \n",
       "4 130000.00 180000.00 160000.00  \n",
       "5 130000.00 180000.00 160000.00  \n",
       "6      0.00      0.00      0.00  \n",
       "7      0.00      0.00      0.00  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rdf['hydra_agents'][rdf.last_valid_index()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Agent Token Holdings - Hydra World\n",
    "\n",
    "The following command line creates eight plots, one for each agents indivudially, showing his token holdings\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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vYHWyXAIcAiCpNdCJ1GXging1bSqJiNsiojAiCrt169ZEh2VmZmaWOS1a3Enqm/b2q8DSJN5NUqtk+XBSEydWRMQaYIuk45P76b4BPJq0fwwonwl7FvBMcl/eU8AoSZ2TiRSjkpiZmZlZzmvdXB1LuhcYAXSVVEJqBus/SyoAdgHvAuWzYocD10kqBcqAiyOifDLGJaRm3rYFnkxeALcDd0taRmrE7jyAiFgvaSrwcrLddWl9mZmZmeU0pQa7rLCwMIqLizOdhpmZmVmdJM2PiMLq1vkbKszMzMxyiIs7MzMzsxzi4s7MzMwsh7i4MzMzM8shLu7MzMzMcoiLOzMzM7Mc4uLOzMzMLIe4uDMzMzPLIS7uzMzMzHKIizszMzOzHOLizszMzCyHuLgzMzMzyyEu7szMzMxyiIs7MzMzsxzi4s7MzMwsh7i4MzMzM8shLu7MzMzMcoiLOzMzM7Mc4uLOzMzMLIe4uDMzMzPLIS7uzMzMzHKIizszMzOzHNJsxZ2kmZI+lLQoLTZV0uuSFkj6q6QeaeuulrRM0puSRqfFB0tamKybJklJPE/SfUl8nqTeaW0mSHo7eU1ormM0MzMzyzatm7HvO4DpwF1psZsi4icAkiYBPwUultQPOA84CugBzJZ0RESUAb8FJgIvAn8GxgBPAhcBGyLi85LOA24AzpXUBbgWKAQCmC/psYjY0IzHWqe35r1P0aPL2bp+Z+UVIpVlI2LaB2JX5vvI5tx8fM4tm/twbpnrI5tzy/Xjy+bcmqKPDl3yOOH0z3HEcQfT0ppt5C4ingPWV4ltTnvbnk9PyenAHyNiZ0T8HVgGDJXUHdg/IooiIkgViuPS2tyZLD8AjExG9UYDsyJifVLQzSJVEGbMW/PeZ849S3cv7GD3D0UDYrt9ADPURzbn5uNzbtnch3PLXB/ZnFuuH18259YUfWxdv5M59yzlrXnvV7NR82rxe+4k/VzSKuB8UiN3AD2BVWmblSSxnsly1XilNhFRCmwC8mvpK2OKHl1O6cfVfVLMzMwsV5V+vIuiR5e3+H5bvLiLiB9FxCHAPcBlSVjVbVpLvKFtKpE0UVKxpOK1a9fWnngjVDtiZ2ZmZjkvEzVAJmfL/gE4M1kuAQ5JW9cLWJ3Ee1UTr9RGUmugE6nLwDX1tZuIuC0iCiOisFu3bo06mNp06JLXbH2bmZlZ9spEDdCixZ2kvmlvvwosTZYfA85LZsD2AfoCL0XEGmCLpOOT++m+ATya1mZCsnwW8ExyX95TwChJnSV1BkYlsYw54fTP0Xo/P3XGzMxsb9J6v3044fTPtfx+m6tjSfcCI4CukkpIzWD9Z0kFwC7gXeBigIh4Q9L9wGKgFLg0mSkLcAmpmbdtSc2SfTKJ3w7cLWkZqRG785K+1kuaCrycbHddRFSa2NHSymfKeLbsZ7uPbM4t148vm3PL9ePL5tx8fM4tm/vI5GxZpQa7rLCwMIqLizOdhpmZmVmdJM2PiMLq1vlaoZmZmVkOcXFnZmZmlkNc3JmZmZnlEBd3ZmZmZjnExZ2ZmZlZDnFxZ2ZmZpZDXNyZmZmZ5RAXd2ZmZmY5xMWdmZmZWQ5xcWdmZmaWQ1zcmZmZmeUQF3dmZmZmOcTFnZmZmVkOcXFnZmZmlkNc3JmZmZnlEBd3ZmZmZjmkdaYTMDMzs8z75JNPKCkpYceOHZlOxdK0adOGXr16se+++9a7jYs7MzMzo6SkhI4dO9K7d28kZTodAyKCdevWUVJSQp8+ferdzpdlzczMjB07dpCfn+/CLotIIj8/f49HU13cmZmZGYALuyzUkN+JizszMzOzHOLizszMzPbYI6++x7Drn6HPVU8w7PpneOTV9zKdUp02btzIrbfeWus2c+fO5ctf/nILZdQ8mq24kzRT0oeSFqXFbpK0VNLrkh6WdEAS7y1pu6QFyWtGWpvBkhZKWiZpmpLxSUl5ku5L4vMk9U5rM0HS28lrQnMdo5mZ2d7okVff4+qHFvLexu0E8N7G7Vz90MKsL/DqU9zlguacLXsHMB24Ky02C7g6Ikol3QBcDfwwWbc8IgZV089vgYnAi8CfgTHAk8BFwIaI+Lyk84AbgHMldQGuBQqBAOZLeiwiNjTx8ZmZmeWknz3+BotXb65x/asrN/Jx2a5Kse2flPGDB17n3pdWVtumX4/9ufYrR9W573HjxrFq1Sp27NjB5MmTmThxIrfffjs33HADPXr0oG/fvuTl5TF9+nTWrl3LxRdfzMqVqX3ecsstDBs2jClTprBy5UpWrFjBypUrufzyy5k0aRJXXXUVy5cvZ9CgQXzpS1/ipptuqjaHrVu3ctZZZ7Fo0SIGDx7M73//+8/U/YjNVtxFxHPpo2lJ7K9pb18EzqqtD0ndgf0joih5fxcwjlRxdzowJdn0AWB6Mqo3GpgVEeuTNrNIFYT3Nu6IzMzMDNitsKsrvidmzpxJly5d2L59O0OGDGHs2LFMnTqVV155hY4dO3Lqqady9NFHAzB58mSuuOIKTjrpJFauXMno0aNZsmQJAEuXLmXOnDls2bKFgoICLrnkEq6//noWLVrEggULas3h1Vdf5Y033qBHjx4MGzaM559/npNOOqnRx9ZSMvmcuwuB+9Le95H0KrAZ+HFE/C/QEyhJ26YkiZH8XAWQjARuAvLT49W0MTMzszrUNcI27PpneG/j9t3iPQ9oy33fPqFR+542bRoPP/wwAKtWreLuu+/m5JNPpkuXLgCcffbZvPXWWwDMnj2bxYsXV7TdvHkzW7ZsAWDs2LHk5eWRl5fHgQceyAcffFDvHIYOHUqvXr0AGDRoEO+8846Lu7pI+hFQCtyThNYAh0bEOkmDgUckHQVUNwYa5d3UsK62NlXzmEjqki+HHnpo/Q/AzMxsL3bl6AKufmgh2z8pq4i13bcVV44uaFS/c+fOZfbs2RQVFdGuXTtGjBhBQUFBxWhcVbt27aKoqIi2bdvuti4vL69iuVWrVpSWltY7j8a0zQYtPls2meDwZeD8iAiAiNgZEeuS5fnAcuAIUqNuvdKa9wJWJ8slwCFJn62BTsD69Hg1bSqJiNsiojAiCrt169Y0B2hmZpbjxh3Tk/84YwA9D2iLSI3Y/ccZAxh3TOMulG3atInOnTvTrl07li5dyosvvsi2bdt49tln2bBhA6WlpTz44IMV248aNYrp06dXvK/rcmvHjh0rRvZyWYuO3EkaQ2oCxckRsS0t3g1YHxFlkg4H+gIrImK9pC2SjgfmAd8AfpM0ewyYABSRunfvmYgISU8Bv5DUOdluFKmJG2ZmZtZExh3Ts9HFXFVjxoxhxowZDBw4kIKCAo4//nh69uzJNddcw3HHHUePHj3o168fnTp1AlKXcC+99FIGDhxIaWkpw4cPZ8aMGTX2n5+fz7Bhw+jfvz+nnXZajRMqPuuUDJ41fcfSvcAIoCvwAakZrFcDecC6ZLMXI+JiSWcC15G6VFsGXBsRjyf9FJKaeduW1ESK7yZFXBvgbuAYUiN250XEiqTNhcA1yT5+HhH/U1e+hYWFUVxc3NjDNjMz+0xasmQJRx55ZKbTqNbWrVvp0KEDpaWljB8/ngsvvJDx48dnOq0WU93vRtL8iCisbvvmnC37tWrCt9ew7YPAgzWsKwb6VxPfAZxdQ5uZwMx6J2tmZmZZa8qUKcyePZsdO3YwatQoxo0bl+mUslomZ8uamZmZ1enmm29u8j4XLlzIBRdcUCmWl5fHvHnzmnxfLc3FnZmZme11BgwYUOcEjM8qf7esmZmZWQ5xcWdmZmaWQ1zcmZmZmeUQF3dmZmZmOcTFnZmZme251++HX/WHKQekfr5+f6YzqtPGjRu59dZbm6SvE088sUn6KXfLLbewbdu2ujesBxd3ZmZmtmdevx8enwSbVgGR+vn4pKwv8Pa0uCsrK6tx3QsvvNAUKVVoyuLOj0IxMzOzyp68Ct5fWPP6kpehbGfl2Cfb4dHLYP6d1bc5eACcdn2dux43bhyrVq1ix44dTJ48mYkTJ3L77bdzww030KNHD/r27UteXh7Tp09n7dq1XHzxxaxcuRJIFUjDhg1jypQprFy5khUrVrBy5Uouv/xyJk2axFVXXcXy5csZNGgQX/rSl6r9+rG5c+fys5/9jO7du7NgwQIWL15cbZ4dOnRg69at1a6LCH7wgx/w5JNPIokf//jHnHvuucydO5ebb76ZP/3pTwBcdtllFBYWsnnzZlavXs0pp5xC165dmTNnTp3nqTYu7szMzGzPVC3s6orvgZkzZ9KlSxe2b9/OkCFDGDt2LFOnTuWVV16hY8eOnHrqqRx99NEATJ48mSuuuIKTTjqJlStXMnr0aJYsWQLA0qVLmTNnDlu2bKGgoIBLLrmE66+/nkWLFtX5fLuXXnqJRYsW0adPnwYdw0MPPcSCBQt47bXX+OijjxgyZAjDhw+vcftJkybxy1/+kjlz5tC1a9cG7TOdizszMzOrrK4Rtl/1Ty7JVtHpEPjXJxq162nTpvHwww8DsGrVKu6++25OPvlkunTpAsDZZ5/NW2+9BcDs2bMrjaxt3ryZLVu2ADB27Fjy8vLIy8vjwAMP5IMPPqh3DkOHDm1wYQfwt7/9ja997Wu0atWKgw46iJNPPpmXX36Z/fffv8F97ok677mTNFnS/kq5XdIrkka1RHJmZmaWhUb+FPZtWzm2b9tUvBHmzp3L7NmzKSoq4rXXXuOYY46hoKCgxu137dpFUVERCxYsYMGCBbz33nt07NgRSH2VWLlWrVpRWlpa7zzat2/f8IMgdVm2Oq1bt2bXrl0V73fs2NGo/dSkPhMqLoyIzcAooBvwr0DdF83NzMwsNw08B74yLTVSh1I/vzItFW+ETZs20blzZ9q1a8fSpUt58cUX2bZtG88++ywbNmygtLSUBx98sGL7UaNGMX369Ir3dV1u7dixY8XIXnMaPnw49913H2VlZaxdu5bnnnuOoUOHcthhh7F48WJ27tzJpk2bePrpp5slt/pcllXy85+B/4mI1ySptgZmZmaW4wae0+hirqoxY8YwY8YMBg4cSEFBAccffzw9e/bkmmuu4bjjjqNHjx7069ePTp06AalLuJdeeikDBw6ktLSU4cOHM2PGjBr7z8/PZ9iwYfTv35/TTjut2gkVTWH8+PEUFRVx9NFHI4kbb7yRgw8+GIBzzjmHgQMH0rdvX4455piKNhMnTuS0006je/fujZ5QoZqGDis2kP4H6An0AY4GWgFzI2Jwo/acZQoLC6O4uDjTaZiZmWXEkiVLOPLIIzOdRrW2bt1Khw4dKC0tZfz48Vx44YWMHz8+02m1mOp+N5LmR0RhddvXZ+TuImAQsCIitknKJ3Vp1szMzKzZTZkyhdmzZ7Njxw5GjRrFuHHjMp1SVquzuIuIXZI+APpJ8uxaMzMza1E333xzk/e5cOFCLrjggkqxvLw85s2bV/F+3bp1jBw5cre2Tz/9NPn5+fXqIxPqLNYk3QCcCywGyh/VHMBzzZiXmZmZWbMZMGBAnRMw8vPza92mPn1kQn1G4sYBBRHR+CcTmpmZmVmzqs+jUFYA+zZ3ImZmZmbWePUZudsGLJD0NFAxehcRk5otKzMzMzNrkPoUd48lLzMzMzPLcnVelo2IO4H7gRcj4s7yV13tJM2U9KGkRWmxmyQtlfS6pIclHZC27mpJyyS9KWl0WnywpIXJumnlD1CWlCfpviQ+T1LvtDYTJL2dvCbU92SYmZlZ/Tyx4glGPTCKgXcOZNQDo3hiReO+U7YlbNy4kVtvvbVJ+jrxxBNrXLd69WrOOuusJtlPQ9TnIcZfAW4G9ouIPpIGAddFxFfraDcc2ArcFRH9k9go4JmIKE1m4RIRP5TUD7gXGAr0AGYDR0REmaSXgMnAi8CfgWkR8aSk7wADI+JiSecB4yPiXEldgGKgkNSs3vnA4IjYUFu+zf0Q402PP86Hv7qF0tWrQYLy816+3JhYq1ZQVpb5PrI5Nx+fc8vmPpybjy8Lju+T6b+h70EHUR9/Wfc8v3j3NnbExxWxNtqPaw77FmPyT6pXH9UTEI1oX3sf7773HmdedhnFDz9crz7Kyspo1apVw7LYd19aH3QQrQ84oEHt0zXHQ4ynkCq65gJExAJJfepqFBHPpY+mJbG/pr19ESgva08H/pjMyP27pGXAUEnvAPtHRFFyIHeRmr37ZNJmStL+AWB6Mqo3GpgVEeuTNrOAMaSKx4zY9PjjrPnJT4nyLwiOtA9d+XJjYmVl2dFHNufm43Nu2dyHc8tcH9mcWyaOL/HLVXfy1rZ3qcnCf7zNJ1FaKbYjPmbqu7/jkY+eqbbNEe0O43uHTKixzyQRzpk0iZL332fnxx/znfPP56Kzz+aOhx7ilzNn0r1bNz532GHk7bsvv/rRj1i7fj2Tpk5l1Zo1ANz0wx9ywjHH8O+33sqqNWt4p6SEVWvWcNkFF/Cd88/nJ7fcwopVqzjurLMYecIJ/OLf/m23DJ57+WV+8dvfcnDXrrz+5pu88uij1WbabehQ1r70UrXrKorIRx7lzj/8gSdmz2bbtm0sX76c8ePHc+ONN9ZxHhqnPsVdaURsqvJ1slHTxnvgQuC+ZLknqWKvXEkS+yRZrhovb7MKIBkJ3ATkp8eraZMRH/7qlk8LOzMzs8+4qoVdXfE9MWPqVLp06sT2HTv4p699jTHDh3P9737HC/ffT8d27Tjtm99kwBFHAHDl9dfz3Qsu4MRjj2XVmjV89dvf5tXHUtME3vr73/nLzJls+cc/GPSVr/Ctc85h6uWXs3jZMuY98ECtORQvWkTxQw/Ru1evxh1M7GLXpk0sWLCAV199lby8PAoKCvjud7/LIYcc0ri+a1Gf4m6RpK8DrST1BSYBLzRmp5J+BJQC95SHqtksaok3tE3VPCYCEwEOPfTQWjJunNLk/yjMzMw+C+oaYfvqwu/y/scf7RY/eL+uzCj4aaP2fes99/D4008DUPL++9z7+OP8U2EhXTp1AuCMUaN4+513AJgzbx5LVqyoaLv5H/9gyz/+AcCY4cPJ228/8vbbj25duvDBunX1zqGwf//GF3aJKCtj5MiRdEry79evH++++26zFnf1ec7dd4GjSD0G5Q/AZlL3wDVIMsHhy8D58ekNfyVA+lH2AlYn8V7VxCu1Sb4WrROwvpa+dhMRt0VEYUQUduvWraGHVKfW3bs3W99mZmYt7Ts9zqWN9qsUa6P9+E6PcxvV73Mvv8ycF19kzu9/z7wHH+ToL3yBvn1qvhNs165dzP3975n3wAPMe+ABlj/9NB3btwcgb79P82vVqhVl5Zej66Fd27YNP4gq1KoVeXl5lXIpLW38CGdt6lPcfS0ifhQRQ5LXj4CfNWRnksYAPwS+GhHb0lY9BpyXzIDtA/QFXoqINcAWSccn99N9A3g0rU35/1qcRWqiRgBPAaMkdZbUGRiVxDLmwCsuR23aZDIFMzOzJjMm/ySuOexbHLxfV4Q4eL+uTTCZAjZt2cIB++9Pu7ZteXPFCl56/XW2b9/O/xYXs2HTJkpLS3lk1qyK7UeecAIz7v30lvrXli6ttf8O7dtXjOy1CO3DPsmIXUuqz2XZsyTtiIh7ACT9J1BnpSLpXmAE0FVSCXAtcDWQB8xK7uF7MSIujog3JN1P6vtrS4FLI6K8xL4EuANoS2oixZNJ/Hbg7mTyxXrgPICIWC9pKvByst115ZMrMqXTV74C4Nmyn/U+sjm3XD++bM4t148vm3Pz8TVtv3tEjMk/qdHFXFWjTvon/vv++xl6xhn07d2boQMH0uOgg7jym9/k5PPPp3u3bnzhc59j/44dAbj56qu54uc/Z+gZZ1BaVsawwYP5zU+vrbH//AMO4IRBgygcP55RJ51U7YSKJiOxb88etGrXrvn2UdOu6/EolLakRslmAqcB6yPi8uZPrWU196NQzMzMsll1j9vIFlu3bqVDhw6UlpYyfvx4LrzwQsaPH5/ptFrMnj4KpcbLspK6JM+Mawt8E/gBqfvtrkviZmZmZs1uypQpDBo0iP79+9OnTx/GjRuX6ZSyWm2XZedDxezT8p9jk1cAhzd7dmZmZrbXu/nmm5u8z4ULF3LBBRdUiuXl5TFv3ryK9+vWrWPkyJG7tX366afJz8+vVx+ZUGNxFxF9WjIRMzMzs5YyYMAAFixYUOs2+fn5tW5Tnz4yoc4JFZL2JTWpYXgSmgv8LiI+aca8zMzMzKwB6jNb9rfAvkD5N+1ekMS+2VxJmZmZmVnD1FjcSWodEaXAkIg4Om3VM5Jea/7UzMzMzGxP1fYQ4/Jvwy2T9LnyoKTDgfo/5tnMzMwsC2zcuJFbb7217g3r4cQTT2ySfsrdcsstbNu2re4N66G24q78iYbfB+ZImitpLvAM0IxP/TMzM7Nst+nxx3n71JEsObIfb586kk2PP57plOq0p8VdbV9Z9sILLzRFShVaqrjrJul7wCDgd6SKuseB/wKOaZK9m5mZ2WfOpscfZ81Pfpr61qUISlevZs1PftokBd64ceMYPHgwRx11FLfddhsAt99+O0cccQQjRozgW9/6FpdddhkAa9eu5cwzz2TIkCEMGTKE559/Hkg9F+/CCy9kxIgRHH744UybNg2Aq666iuXLlzNo0CCuvPLKavc/d+5cTjnlFL7+9a8zYMCAGvPs0KFDjesigiuvvJL+/fszYMAA7rvvvoq+v/zlL1dsd9lll3HHHXcwbdo0Vq9ezSmnnMIpp5yyB2ererVNqGgFdODTETyS9wAdG71nMzMzy0rv/+IX7FxS8/e0bn/tNeLjjyvFYscO1vzox2y8//9V2ybvyC9w8DXX1LnvmTNn0qVLF7Zv386QIUMYO3YsU6dO5ZVXXqFjx46ceuqpHH10airA5MmTueKKKzjppJNYuXIlo0ePZsmSJQAsXbqUOXPmsGXLFgoKCrjkkku4/vrrWbRoUZ2PL3nppZdYtGgRffo07KlwDz30EAsWLOC1117jo48+YsiQIQwfPrzG7SdNmsQvf/lL5syZQ9euXRu0z3S1FXdrIuK6Ru/BzMzMckrVwq6u+J6YNm0aDz/8MACrVq3i7rvv5uSTT6ZLl9SXY5199tm89dZbAMyePZvFixdXtN28eTNbtmwBYOzYseTl5ZGXl8eBBx7IBx98UO8chg4d2uDCDuBvf/sbX/va12jVqhUHHXQQJ598Mi+//DL7779/g/vcE7UVd3v6LcJmZmaWA+oaYXv71JGpS7JVtO7Rg8PuvqvB+507dy6zZ8+mqKiIdu3aMWLECAoKCipG46ratWsXRUVFtG3bdrd1eXl5FcutWrWitLS03nm0b99+z5NPExHVxlu3bs2uXbsq3u/YsaNR+6lJbffc7f59G2ZmZrbXO/CKy1GbNpViatOGA6+4vFH9btq0ic6dO9OuXTuWLl3Kiy++yLZt23j22WfZsGEDpaWlPPjggxXbjxo1iunTp1e8r+tya8eOHStG9prT8OHDue+++ygrK2Pt2rU899xzDB06lMMOO4zFixezc+dONm3axNNPP90sudX29WPrm2QPZmZmllM6feUrAHz4q1soXbOG1t27c+AVl1fEG2rMmDHMmDGDgQMHUlBQwPHHH0/Pnj255pprOO644+jRowf9+vWjU6dOQOoS7qWXXsrAgQMpLS1l+PDhzJgxo8b+8/PzGTZsGP379+e0007jpptuanCuUs0XOMePH09RURFHH300krjxxhs5+OCDATjnnHMYOHAgffv25ZhjPp2fOnHiRE477TS6d+/OnDlzGpwXgGoaOtzbFBYWRnFxcabTMDMzy4glS5Zw5JFHZjqNam3dupUOHTpQWlrK+PHjufDCCxk/fnzG8lm3bh3HHnss7777bovsr7rfjaT5EVFY3fa1XZY1MzMzy7gpU6YwaNAg+vfvT58+fRg3blzGclm9ejUnnHAC3//+9zOWQ13q892yZmZmZhlz8803N3mfCxcu5IILLqgUy8vLY968eRXv161bx8iRu09BKCoqIj8/v159ZIKLOzMzM9vrDBgwoM4JGPn5+bVuU58+MsGXZc3MzMxyiIs7MzMzsxzi4s7MzMwsh7i4MzMzM8shzVbcSZop6UNJi9JiZ0t6Q9IuSYVp8d6StktakLxmpK0bLGmhpGWSpil5aqCkPEn3JfF5knqntZkg6e3kNaG5jtHMzMw+OzZu3Mitt97aJH2deOKJNa5bvXo1Z511VpPspyGac+TuDmBMldgi4AzguWq2Xx4Rg5LXxWnx3wITgb7Jq7zPi4ANEfF54FfADQCSugDXAscBQ4FrJXVukiMyMzMzAN6a9z53XvM8/3nxM9x5zfO8Ne/9TKdUpz0t7srKympc98ILL9S4rkePHjzwwAN7lFtTarbiLiKeA9ZXiS2JiDfr24ek7sD+EVEUqa/SuAsYl6w+HbgzWX4AGJmM6o0GZkXE+ojYAMxi9yLTzMzMGuitee8z556lbF2/E4Ct63cy556lTVLgjRs3jsGDB3PUUUdx2223AXD77bdzxBFHMGLECL71rW9x2WWXAbB27VrOPPNMhgwZwpAhQ3j++eeB1EOPL7zwQkaMGMHhhx/OtGnTALjqqqtYvnw5gwYN4sorr6x2/3PnzuWUU07h61//OgMGDKgxzw4dOtS47p133qF///4A3HHHHZxxxhmMGTOGvn378oMf/GDPT8oeyqbn3PWR9CqwGfhxRPwv0BMoSdumJImR/FwFEBGlkjYB+enxatqYmZlZHf73/rf4aNXWGtd/8PdNlJVW/vrS0o938czdS3jjb6urbdP1kA780zlH1LnvmTNn0qVLF7Zv386QIUMYO3YsU6dO5ZVXXqFjx46ceuqpHH300QBMnjyZK664gpNOOomVK1cyevRolixZAsDSpUuZM2cOW7ZsoaCggEsuuYTrr7+eRYsW1flsupdeeolFixbRp0+fOvOtjwULFvDqq6+Sl5dHQUEB3/3udznkkEOapO/qZEtxtwY4NCLWSRoMPCLpKKC6b+Ut/zTVtK62NpVImkjqki+HHnroHidtZma2N6pa2NUV3xPTpk3j4YcfBmDVqlXcfffdnHzyyXTp0gWAs88+m7feeguA2bNns3jx4oq2mzdvZsuWLQCMHTuWvLw88vLyOPDAA/nggw/qncPQoUObrLADGDlyJJ06dQKgX79+vPvuu7lf3EXETmBnsjxf0nLgCFKjbr3SNu0FlP8vQQlwCFAiqTXQidRl4BJgRJU2c2vY723AbQCFhYWN/0SamZnlgLpG2O685vmKS7LpOnTJY/y/Hdvg/c6dO5fZs2dTVFREu3btGDFiBAUFBRWjcVXt2rWLoqIi2rZtu9u6vLy8iuVWrVpRWlpa7zzat2+/58nXojG5NERWPApFUjdJrZLlw0lNnFgREWuALZKOT+6n+wbwaNLsMaB8JuxZwDPJfXlPAaMkdU4mUoxKYmZmZtYETjj9c7Ter3IJ0Xq/fTjh9M81qt9NmzbRuXNn2rVrx9KlS3nxxRfZtm0bzz77LBs2bKC0tJQHH3ywYvtRo0Yxffr0ivd1XW7t2LFjxcheLmvOR6HcCxQBBZJKJF0kabykEuAE4AlJ5UXXcOB1Sa+RmhxxcUSUT8a4BPhvYBmwHHgyid8O5EtaBnwPuAogaTcVeDl5XZfWl5mZmTXSEccdzCnnf4EOXVIjUh265HHK+V/giOMOblS/Y8aMobS0lIEDB/KTn/yE448/np49e3LNNddw3HHH8cUvfpF+/fpVXOKcNm0axcXFDBw4kH79+jFjxoxa+8/Pz2fYsGH079+/xgkV9ZU8mS0rKTXYZYWFhVFcXJzpNMzMzDJiyZIlHHnkkZlOo1pbt26lQ4cOlJaWMn78eC688ELGjx+fsXzWrVvHsccey7vvvtsi+6vudyNpfkQUVrd9VlyWNTMzM6vJlClTGDRoEP3796dPnz6MGzcuY7msXr2aE044ge9///sZy6EuWTGhwszMzKwmN998c5P3uXDhQi644IJKsby8PObNm1fxft26dYwcOXK3tkVFReTn59erj0xwcWdmZmZ7nQEDBtQ5ASM/P7/WberTRyb4sqyZmZkB4Pvws09Dficu7szMzIw2bdqwbt06F3hZJCJYt24dbdq02aN2vixrZmZm9OrVi5KSEtauXZvpVCxNmzZt6NWrV90bpnFxZ2ZmZuy7775N+pVbljm+LGtmZmaWQ1zcmZmZmeUQF3dmZmZmOcTFnZmZmVkOcXFnZmZmlkNc3JmZmZnlEBd3ZmZmZjnExZ2ZmZlZDnFxZ2ZmZpZDXNyZmZmZ5RAXd2ZmZmY5xMWdmZmZWQ5xcWdmZmaWQ1zcmZmZmeUQF3dmZmZmOaTZijtJMyV9KGlRWuxsSW9I2iWpsMr2V0taJulNSaPT4oMlLUzWTZOkJJ4n6b4kPk9S77Q2EyS9nbwmNNcxmpmZmWWb1s3Y9x3AdOCutNgi4Azgd+kbSuoHnAccBfQAZks6IiLKgN8CE4EXgT8DY4AngYuADRHxeUnnATcA50rqAlwLFAIBzJf0WERsaK4DrY8nVjzBr1/5NWv+saZSXIggGhXbR/uwK3ZlvI9szs3H59yyuQ/n5uPbG48vm3Nrij66t+/O5GMnM/bwsbS0Zhu5i4jngPVVYksi4s1qNj8d+GNE7IyIvwPLgKGSugP7R0RRRASpQnFcWps7k+UHgJHJqN5oYFZErE8KulmkCsKMeWLFE0x5YcpuhR2w24eiIbGqH8BM9ZHNufn4nFs29+HcMtdHNueW68eXzbk1RR9r/rGGKS9M4YkVT+y2TXPLlnvuegKr0t6XJLGeyXLVeKU2EVEKbALya+krY379yq/ZUbYjkymYmZlZC9tRtoNfv/LrFt9vthR3qiYWtcQb2qbyTqWJkoolFa9du7ZeiTbE+/94v9n6NjMzs+yViRogW4q7EuCQtPe9gNVJvFc18UptJLUGOpG6DFxTX7uJiNsiojAiCrt169YEh1G9g9sf3Gx9m5mZWfbKRA2QLcXdY8B5yQzYPkBf4KWIWANskXR8cj/dN4BH09pMSJbPAp5J7st7ChglqbOkzsCoJJYxk4+dTJtWbTKZgpmZmbWwNq3aMPnYyS2+3+Z8FMq9QBFQIKlE0kWSxksqAU4AnpD0FEBEvAHcDywG/gJcmsyUBbgE+G9SkyyWk5opC3A7kC9pGfA94Kqkr/XAVODl5HVdEsuYsYePZcqJU+jevvtu61TNVeQ9je2j3X+Nmegjm3Pz8Tm3bO7DuWWuj2zOLdePL5tza4o+urfvzpQTp2RktqxSg11WWFgYxcXFmU7DzMzMrE6S5kdEYXXrsuWyrJmZmZk1ARd3ZmZmZjnExZ2ZmZlZDnFxZ2ZmZpZDXNyZmZmZ5RAXd2ZmZmY5xMWdmZmZWQ5xcWdmZmaWQ1zcmZmZmeUQF3dmZmZmOcTFnZmZmVkOcXFnZmZmlkNc3JmZmZnlEBd3ZmZmZjnExZ2ZmZlZDnFxZ2ZmZpZDXNyZmZmZ5RAXd2ZmZmY5xMWdmZmZWQ5xcWdmZmaWQ1zcmZmZmeUQF3dmZmZmOaTZijtJMyV9KGlRWqyLpFmS3k5+dk7ivSVtl7Qgec1IazNY0kJJyyRNk6QknifpviQ+T1LvtDYTkn28LWlCcx2jmZmZWbZpzpG7O4AxVWJXAU9HRF/g6eR9ueURMSh5XZwW/y0wEeibvMr7vAjYEBGfB34F3ACpAhK4FjgOGApcW15EmpmZmeW6ZivuIuI5YH2V8OnAncnyncC42vqQ1B3YPyKKIiKAu9LapPf1ADAyGdUbDcyKiPURsQGYxe5FppmZmVlOaul77g6KiDUAyc8D09b1kfSqpGcl/VMS6wmUpG1TksTK161K+ioFNgH56fFq2piZmZnltNaZTiCxBjg0ItZJGgw8IukoQNVsG8nPmtbV1qYSSRNJXfLl0EMP3eOkzczMzLJNS4/cfZBcai2/5PohQETsjIh1yfJ8YDlwBKlRt15p7XsBq5PlEuCQpK/WQCdSl4Er4tW0qSQibouIwogo7NatW5McoJmZmVkmtXRx9xhQPnt1AvAogKRukloly4eTmjixIrl0u0XS8cn9dN8ob1Olr7OAZ5L78p4CRknqnEykGJXEzMzMzHJes12WlXQvMALoKqmE1AzW64H7JV0ErATOTjYfDlwnqRQoAy6OiPLJGJeQmnnbFngyeQHcDtwtaRmpEbvzACJivaSpwMvJdtel9WVmZmaW05Qa7LLCwsIoLi7OdBpmZmZmdZI0PyIKq1vnb6gwMzMzyyEu7szMzMxyiIs7MzMzsxzi4s7MzMwsh7i4MzMzM8shLu7MzMzMcoiLOzMzM7Mc4uLOzMzMLIe4uDMzMzPLIS7uzMzMzHKIizszMzOzHOLizszMzCyHuLgzMzMzyyEu7szMzMxyiIs7MzMzsxzi4s7MzMwsh7i4MzMzM8shLu7MzMzMcoiLOzMzM7Mc4uLOzMzMLIe4uDMzMzPLIS7uzMzMzHJI6+bqWNJM4MvAhxHRP4l1Ae4DegPvAOdExIZk3dXARUAZMCkinkrig4E7gLbAn4HJERGS8oC7gMHAOuDciHgnaTMB+HGSyr9HxJ3NdZz19vr98PR1sGkVICBSce0DsatxMbWCKMt8H9mcm4/PuWVzH87Nx7c3Hl8259YUfXQ6BEb+FAaeQ0trzpG7O4AxVWJXAU9HRF/g6eQ9kvoB5wFHJW1uldQqafNbYCLQN3mV93kRsCEiPg/8Crgh6asLcC1wHDAUuFZS52Y4vvp7/X54fFJS2EHFBwCSD0UjY1GWHX1kc24+PueWzX04t8z1kc255frxZXNuTdHHplWpf/tfv5+W1mzFXUQ8B6yvEj4dKB9FuxMYlxb/Y0TsjIi/A8uAoZK6A/tHRFFEBKmRunHV9PUAMFKSgNHArIhYn4wKzmL3IrNlPX0dfLI9oymYmZlZC/tke6oGaGEtfc/dQRGxBiD5eWAS7wmsStuuJIn1TJarxiu1iYhSYBOQX0tfu5E0UVKxpOK1a9c24rDqsKmk7m3MzMws92SgBsiWCRWqJha1xBvapnIw4raIKIyIwm7dutUr0Qbp1Kv5+jYzM7PslYEaoKWLuw+SS60kPz9M4iXAIWnb9QJWJ/Fe1cQrtZHUGuhE6jJwTX1lzsifwr5tM5qCmZmZtbB926ZqgBbW0sXdY8CEZHkC8Gha/DxJeZL6kJo48VJy6XaLpOOT++m+UaVNeV9nAc8k9+U9BYyS1DmZSDEqiWXOwHPgK9NSM2eASoOL2qfxsYq5JxnuI5tz8/E5t2zuw7llro9szi3Xjy+bc2uKPjodkvq3PwOzZZvzUSj3AiOArpJKSM1gvR64X9JFwErgbICIeEPS/cBioBS4NKJiqsolfPoolCeTF8DtwN2SlpEasTsv6Wu9pKnAy8l210VE1YkdLW/gORn5BZuZmdneRanBLissLIzi4uJMp2FmZmZWJ0nzI6KwunXZMqHCzMzMzJqAizszMzOzHOLizszMzCyHuLgzMzMzyyEu7szMzMxyiIs7MzMzsxzi4s7MzMwsh/g5dwlJa4F3W2BXXYGPWmA/exOf06bl89n0fE6bns9p0/M5bXrNeU4Pi4hu1a1wcdfCJBXX9NBBaxif06bl89n0fE6bns9p0/M5bXqZOqe+LGtmZmaWQ1zcmZmZmeUQF3ct77ZMJ5CDfE6bls9n0/M5bXo+p03P57TpZeSc+p47MzMzsxzikTszMzOzHOLiroVIGiPpTUnLJF2V6Xw+qyS9I2mhpAWSipNYF0mzJL2d/Oyc6TyzmaSZkj6UtCgtVuM5lHR18rl9U9LozGSd3Wo4p1MkvZd8VhdI+ue0dT6ntZB0iKQ5kpZIekPS5CTuz2kD1XJO/TltIEltJL0k6bXknP4siWf8c+rLsi1AUivgLeBLQAnwMvC1iFic0cQ+gyS9AxRGxEdpsRuB9RFxfVI4d46IH2Yqx2wnaTiwFbgrIvonsWrPoaR+wL3AUKAHMBs4IiLKMpR+VqrhnE4BtkbEzVW29Tmtg6TuQPeIeEVSR2A+MA74F/w5bZBazuk5+HPaIJIEtI+IrZL2Bf4GTAbOIMOfU4/ctYyhwLKIWBERHwN/BE7PcE655HTgzmT5TlJ/sKwGEfEcsL5KuKZzeDrwx4jYGRF/B5aR+jxbmhrOaU18TusQEWsi4pVkeQuwBOiJP6cNVss5rYnPaR0iZWvydt/kFWTB59TFXcvoCaxKe19C7f9RWc0C+Kuk+ZImJrGDImINpP6AAQdmLLvPrprOoT+7jXOZpNeTy7bll2Z8TveApN7AMcA8/DltElXOKfhz2mCSWklaAHwIzIqIrPicurhrGaom5uvhDTMsIo4FTgMuTS6HWfPxZ7fhfgt8DhgErAH+bxL3Oa0nSR2AB4HLI2JzbZtWE/M5rUY159Sf00aIiLKIGAT0AoZK6l/L5i12Tl3ctYwS4JC0972A1RnK5TMtIlYnPz8EHiY1pP1Bcj9J+X0lH2Yuw8+sms6hP7sNFBEfJH/4dwH/xaeXX3xO6yG5h+lB4J6IeCgJ+3PaCNWdU39Om0ZEbATmAmPIgs+pi7uW8TLQV1IfSfsB5wGPZTinzxxJ7ZMbgZHUHhgFLCJ1Lickm00AHs1Mhp9pNZ3Dx4DzJOVJ6gP0BV7KQH6fOeV/3BPjSX1Wwee0TsmN6rcDSyLil2mr/DltoJrOqT+nDSepm6QDkuW2wBeBpWTB57R1c3RqlUVEqaTLgKeAVsDMiHgjw2l9Fh0EPJz6G0Vr4A8R8RdJLwP3S7oIWAmcncEcs56ke4ERQFdJJcC1wPVUcw4j4g1J9wOLgVLgUs+W210N53SEpEGkLru8A3wbfE7raRhwAbAwuZ8J4Br8OW2Mms7p1/w5bbDuwJ3JEzH2Ae6PiD9JKiLDn1M/CsXMzMwsh/iyrJmZmVkOcXFnZmZmlkNc3JmZmZnlEBd3ZmZmZjnExZ2ZmZlZDnFxZ2Z7PUn5khYkr/clvZcsb5V0azPud4SkE5urfzPbO/k5d2a214uIdaS+fglJU4CtEXFzC+x6BLAVeKEF9mVmewmP3JmZ1SAZWftTsjxF0p2S/irpHUlnSLpR0kJJf0m+2glJgyU9K2m+pKfSvoZokqTFyRe0/zH58vaLgSuSUcJ/Sp54/6Ckl5PXsLR93y3pGUlvS/pWhk6JmX0GeOTOzKz+PgecAvQDioAzI+IHkh4Gxkp6AvgNcHpErJV0LvBz4ELgKqBPROyUdEBEbJQ0g7RRQkl/AH4VEX+TdCipb7U5Mtn3QOB4oD3wqqQnyr9r2cwsnYs7M7P6ezIiPpG0kNRXCf4liS8EegMFQH9gVvI1ea2ANck2rwP3SHoEeKSG/r8I9EvaAuxf/n3KwKMRsR3YLmkOqS94r6kfM9uLubgzM6u/nQARsUvSJ/Hp9zfuIvX3VMAbEXFCNW3HAsOBrwI/kXRUNdvsA5yQFHEVkmKv6ndF+rsjzaxavufOzKzpvAl0k3QCgKR9JR0laR/gkIiYA/wAOADoAGwBOqa1/ytwWfmb5Avdy50uqY2kfFITMV5uxuMws88wF3dmZk0kIj4GzgJukPQasAA4kdTl2d8nl3NfJXVf3UbgcWB8+YQKYBJQmEy6WExqwkW5l4AngBeBqb7fzsxqok+vKpiZWTZq4cezmNlnnEfuzMzMzHKIR+7MzMzMcohH7szMzMxyiIs7MzMzsxzi4s7MzMwsh7i4MzMzM8shLu7MzMzMcoiLOzMzM7Mc8v8BN1GTJ3t2hEUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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REUk0c6/xdK8WLzc314uLi5NdhoiIiEi9zOxNd8+t3q47E4iIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEgpqImIiIiElIKaiIiISEi1SXYBIiIi0vQ+++wztmzZwqFDh5JdisRp27Yt3bp14/TTT29QfwU1ERGRVmjLli2kpaXRo0cPzCzZ5Qjg7uzcuZMtW7bQs2fPBq2jQ58iIiKt0KFDh8jIyFBICxEzIyMj44RmORXUREREWimFtPA50c9EQU1EREQkpBTUREREhN++tZXBM1+i57QXGDzzJX771tZkl1Sn3bt388gjj9TZp7CwkKuvvjpBFTUPBTUREZFT3G/f2sq9z6xm6+6DOLB190HufWZ1qMNaQ4Jaa6CrPkVERFq5+59fy7pte2td/lb5bj49cvSYtoOfHeGep9/hNyvLa1ynT+aZ/MtXLqpzu/n5+WzevJlDhw4xZcoUJk6cyLx583jwwQfJzMykV69eRCIR5syZQ0VFBbfddhvl5bHtPfzwwwwePJgZM2ZQXl7Oxo0bKS8v56677mLy5MlMmzaNDRs20L9/f6666ip+9KMf1VjD/v37ufbaa1mzZg2XXnopv/rVr1rUuXsKaiIiIqe46iGtvvaGmj9/Punp6Rw8eJABAwaQl5fHAw88wKpVq0hLS2PEiBH069cPgClTpjB16lSGDBlCeXk5o0ePprS0FICysjKWLVvGvn37yMrK4vbbb2fmzJmsWbOGkpKSOmt46623WLt2LZmZmQwePJjXXnuNIUOGnNT7SiQFNRERkVauvpmvwTNfYuvug8e1dz27HU996/JGb3f27NksXrwYgM2bN/P4448zbNgw0tPTARg/fjzr168HYMmSJaxbt65q3b1797Jv3z4A8vLyiEQiRCIROnfuzI4dOxpcw8CBA+nWrRsA/fv3Z9OmTQpqIiIi0nLcPTqLe59ZzcHPjlS1tTs9hbtHZzV6zMLCQpYsWUJRURHt27dn+PDhZGVlVc2SVXf06FGKiopo167dccsikUjV85SUFKLRaIPrOJl1w0AXE4iIiJzi8i/uyn98tS9dz26HEZtJ+4+v9iX/4q6NHnPPnj107NiR9u3bU1ZWxvLlyzlw4AAvv/wyu3btIhqNsmjRoqr+o0aNYs6cOVWv6zukmZaWVjXj1polZUbNzM4Gfg5kAw5MAP4CPAX0ADYB17n7rqD/vcAtwBFgsrv/MeFFi4iItGL5F3c9qWBW3ZgxY5g7dy45OTlkZWVx2WWX0bVrV6ZPn86gQYPIzMykT58+nHXWWUDsMOmkSZPIyckhGo0ydOhQ5s6dW+v4GRkZDB48mOzsbMaOHVvrxQQtnbl74jdqtgD4P3f/uZmdAbQHpgOfuPtMM5sGdHT375lZH+A3wEAgE1gCXOjuR2obHyA3N9eLi4ub942IiIiEVGlpKb179052GcfZv38/qampRKNRCgoKmDBhAgUFBckuK6Fq+mzM7E13z63eN+GHPs3sTGAoMA/A3T91993AOGBB0G0BkB88Hwc86e6H3f194D1ioU1ERERamBkzZtC/f3+ys7Pp2bMn+fn5yS4p1JJx6PMCoAL4hZn1A94EpgDnuvt2AHffbmadg/5dgeVx628J2kRERKSFmTVrVpOPuXr1am666aZj2iKRCCtWrGjybSVaMoJaG+AS4E53X2Fm/wlMq6N/Tb9KV+PxWjObCEwE+MIXvnCydYqIiEgL0Ldv33ovPmipknHV5xZgi7tXxtyniQW3HWbWBSD4+1Fc/+5x63cDttU0sLs/6u657p7bqVOnZileREREJFESHtTc/UNgs5lV/jjLSGAd8Bxwc9B2M/Bs8Pw54Hozi5hZT6AXsDKBJYuIiIgkRbJ+8PZO4Ingis+NwDeJhcaFZnYLUA6MB3D3tWa2kFiYiwKT6rviU0RERKQ1SEpQc/cS4LhLUInNrtXU/4fAD5uzJhEREZGw0Z0JREREBN5ZCD/Jhhlnx/6+szDZFdVp9+7dPPLII00y1hVXXNEk41R6+OGHOXDgQJOMpaAmIiJyqntnITw/GfZsBjz29/nJoQ5rJxrUjhyp/ayp119/vSlKqtKUQU03ZRcREWntXpwGH66uffmWN+DI4WPbPjsIz94Bby6oeZ3z+sLYmXVuNj8/n82bN3Po0CGmTJnCxIkTmTdvHg8++CCZmZn06tWLSCTCnDlzqKio4LbbbqO8vByIhZ3BgwczY8YMysvL2bhxI+Xl5dx1111MnjyZadOmsWHDBvr3789VV11V4y2kCgsLuf/+++nSpQslJSWsW7euxjpTU1PZv39/jcvcnXvuuYcXX3wRM+O+++7ja1/7GoWFhcyaNYvf/e53ANxxxx3k5uayd+9etm3bxpVXXsk555zDsmXL6txH9VFQExEROdVVD2n1tTfQ/PnzSU9P5+DBgwwYMIC8vDweeOABVq1aRVpaGiNGjKBfv34ATJkyhalTpzJkyBDKy8sZPXo0paWlAJSVlbFs2TL27dtHVlYWt99+OzNnzmTNmjX1/n7aypUrWbNmDT179mzUe3jmmWcoKSnh7bff5uOPP2bAgAEMHTq01v6TJ0/mxz/+McuWLeOcc85p1DbjKaiJiIi0dvXMfPGT7OCwZzVndYdvvtDozc6ePZvFixcDsHnzZh5//HGGDRtGeno6AOPHj2f9+vUALFmy5JgZr71797Jv3z4A8vLyiEQiRCIROnfuzI4dOxpcw8CBAxsd0gBeffVVbrjhBlJSUjj33HMZNmwYb7zxBmeeeWajxzwR9Z6jZmZTzOxMi5lnZqvMbFQiihMREZEEGPkDOL3dsW2nt4u1N1JhYSFLliyhqKiIt99+m4svvpisrKxa+x89epSioiJKSkooKSlh69atpKWlAbHbQVVKSUkhGo02uI4OHTo0+j1A7NBnTdq0acPRo0erXh86dOiktlObhlxMMMHd9wKjgE7EfvOsnmguIiIiLUbOdfCV2bEZNCz29yuzY+2NtGfPHjp27Ej79u0pKytj+fLlHDhwgJdffpldu3YRjUZZtGhRVf9Ro0YxZ86cqtf1HdJMS0urmnFrTkOHDuWpp57iyJEjVFRU8MorrzBw4EDOP/981q1bx+HDh9mzZw9Lly5tltoacuiz8l6bfwv8wt3fNrOa7r8pIiIiLVXOdScVzKobM2YMc+fOJScnh6ysLC677DK6du3K9OnTGTRoEJmZmfTp04ezzjoLiB0mnTRpEjk5OUSjUYYOHcrcuXNrHT8jI4PBgweTnZ3N2LFja7yYoCkUFBRQVFREv379MDMeeughzjvvPACuu+46cnJy6NWrFxdffHHVOhMnTmTs2LF06dLlpC8msNqm9Ko6mP0C6Ar0BPoBKUChu196UltuZrm5uV5cXJzsMkRERJKitLSU3r17J7uM4+zfv5/U1FSi0SgFBQVMmDCBgoKCZJeVUDV9Nmb2prsfdzOAhsyo3QL0Bza6+wEzyyB2+FNERETkhMyYMYMlS5Zw6NAhRo0aRX5+frJLCrV6g5q7HzWzHUAfM9NVoiIiItJos2bNavIxV69ezU033XRMWyQSYcWKFVWvd+7cyciRx9+pcunSpWRkZDRojGSoN3iZ2YPA14jdFL3yZ30deKUZ6xIRERFpkL59+9Z78UFGRkadfRoyRjI0ZIYsH8hy95P71TsREREROSEN+XmOjcDpzV2IiIiIiByrITNqB4ASM1sKVM2qufvkZqtKRERERBoU1J4LHiIiIiKSQPUe+nT3BcBCYLm7L6h8NH9pIiIikigvbHyBUU+PImdBDqOeHsULGxt/j89E2L17N4888kiTjHXFFVfUumzbtm1ce+21TbKdxmjIvT6/ApQAfwhe9zczzbCJiIi0Ei9sfIEZr89g+1+34zjb/7qdGa/PCHVYO9GgduTIkVqXvf7667Uuy8zM5Omnnz6h2ppSQw59zgAGAoUA7l5iZo2/Db2IiIgk1IMrH6Tsk7Jal79T8Q6fHv30mLZDRw7xg9d+wNPraw4pX0r/Et8b+L06t5ufn8/mzZs5dOgQU6ZMYeLEicybN48HH3yQzMxMevXqRSQSYc6cOVRUVHDbbbdRXl4OwMMPP8zgwYOZMWMG5eXlbNy4kfLycu666y4mT57MtGnT2LBhA/379+eqq66q8RZShYWF3H///XTp0oWSkhLWrVtXY52pqans37+/xmWbNm3i6quvZs2aNTz22GM899xzHDhwgA0bNlBQUMBDDz1U5z44WQ0JalF331Pt9p5133dKREREWozqIa2+9oaaP38+6enpHDx4kAEDBpCXl8cDDzzAqlWrSEtLY8SIEfTr1w+AKVOmMHXqVIYMGUJ5eTmjR4+mtLQUgLKyMpYtW8a+ffvIysri9ttvZ+bMmaxZs6be3z5buXIla9asoWfPppljKikp4a233iISiZCVlcWdd95J9+7dm2TsmjQkqK0xsxuBFDPrBUwGap8jFBERkVCpb+Zr1NOj2P7X7ce1d+nQhV+M+UWjtzt79mwWL14MwObNm3n88ccZNmwY6enpAIwfP57169cDsGTJkmNmvPbu3cu+ffsAyMvLIxKJEIlE6Ny5Mzt27GhwDQMHDmyykAYwcuTIqhvJ9+nThw8++KBZg1pDfkftTuAiYj/N8WtgLzCl2SoSERGRhJpyyRTaprQ9pq1tSlumXNL4/9wXFhayZMkSioqKePvtt7n44ovJysqqtf/Ro0cpKiqipKSEkpIStm7dSlpaGhC7lVOllJQUotFog+vo0KFDo99DTU6mlsZoSFC7wd3/2d0HBI9/Bu5v1qpEREQkYfIuyGPGFTPo0qELhtGlQxdmXDGDvAvyGj3mnj176NixI+3bt6esrIzly5dz4MABXn75ZXbt2kU0GmXRokVV/UeNGsWcOXOqXtd3SDMtLa1qxq01a8ihz2vN7JC7PwFgZj8F2tazjoiIiLQgeRfknVQwq27MmDHMnTuXnJwcsrKyuOyyy+jatSvTp09n0KBBZGZm0qdPn6rDiLNnz2bSpEnk5OQQjUYZOnQoc+fOrXX8jIwMBg8eTHZ2NmPHjq3xYoLWwNzrvi7AzNoR+8Hb+cBY4BN3v6v5Szs5ubm5XlxcnOwyREREkqK0tJTevXsnu4zj7N+/n9TUVKLRKAUFBUyYMIGCgoJkl5VQNX02Zvamu+dW71vroU8zSzezdKAd8I/APcTOT/vXoF1ERETkhMyYMYP+/fuTnZ1Nz549yc/PT3ZJoVbXoc83if0Mh8X9zQseDlzQ7NWJiIhIqzJr1qwmH3P16tXcdNNNx7RFIhFWrFhR9Xrnzp2MHDnyuHWXLl1KRkZGg8ZIhlqDmrvrR21FREQk9Pr27VvvxQcZGRl19mnIGMlQ78UEZnY6cDswNGgqBP7H3T9rxrpERERETnkNuerzv4HTgcobat0UtP1jcxUlIiIiInUENTNr4+5RYIC794tb9JKZvd38pYmIiIic2ur6wduVwd8jZvbFykYzuwCo/Rb0IiIiIs1s9+7dPPLII/V3bIArrriiScap9PDDD3PgwIEmGauuoFZ5F/bvAsvMrNDMCoGXgO80ydZFREQkFPY8/zzvjhhJae8+vDtiJHuefz7ZJdXpRIPakSO1zzG9/nrT3sI8UUGtk5n9E9Af+B9iAe154GfAxU2ydREREUm6Pc8/z/bv/4Dotm3gTnTbNrZ//wcnHdby8/O59NJLueiii3j00UcBmDdvHhdeeCHDhw/n1ltv5Y477gCgoqKCa665hgEDBjBgwABee+01IPa7axMmTGD48OFccMEFzJ49G4Bp06axYcMG+vfvz913313j9gsLC7nyyiu58cYb6du3b611pqam1rrM3bn77rvJzs6mb9++PPXUU1VjX3311VX97rjjDh577DFmz57Ntm3buPLKK7nyyitPYG/VrK6LCVKAVD6fWSN4DZB20lsWERGRhPjw3/+dw6VltS4/+Pbb+KefHtPmhw6x/Z/vY/fC/61xnUjvL3He9Ol1bnf+/Pmkp6dz8OBBBgwYQF5eHg888ACrVq0iLS2NESNG0K9f7DT4KVOmMHXqVIYMGUJ5eTmjR4+mtLQUgLKyMpYtW8a+ffvIysri9ttvZ+bMmaxZs6ben9RYuXIla9asoWfPxv3q2DPPPENJSQlvv/02H3/8MQMGDGDo0KG19p88eTI//vGPWbZsGeecc06jthmvrqC23d3/9aS3ICIiIqFWPaTV195Qs2fPZvHixQBs3ryZxx9/nGHDhpGeHrvB0fjx41m/fj0AS5YsYd26dVXr7t27t+qm63l5eUQiESKRCJ07d2bHjh0NrmHgwIGNDmkAr776KjfccAMpKSmce+65DBs2jDfeeIMzzzyz0WOeiLqCmtWxTERERFqI+ma+3h0xMnbYs5o2mZmc//gvG7XNwsJClixZQlFREe3bt2f48OFkZWVVzZJVd/ToUYqKimjXrt1xyyKRSNXzlJQUotFog+vo0KHDiRcfp7Z7ordp04ajR49WvT506NBJbac2dZ2jdvx9FkRERKTV6Tz1Lqxt22ParG1bOk+9q9Fj7tmzh44dO9K+fXvKyspYvnw5Bw4c4OWXX2bXrl1Eo1EWLVpU1X/UqFHMmTOn6nV9hzTT0tKqZtya09ChQ3nqqac4cuQIFRUVvPLKKwwcOJDzzz+fdevWcfjwYfbs2cPSpUubpba6biH1SZNsQURERELtrK98BYCPfvIw0e3badOlC52n3lXV3hhjxoxh7ty55OTkkJWVxWWXXUbXrl2ZPn06gwYNIjMzkz59+nDWWWcBscOkkyZNIicnh2g0ytChQ5k7d26t42dkZDB48GCys7MZO3YsP/rRjxpdq1ntBxELCgooKiqiX79+mBkPPfQQ5513HgDXXXcdOTk59OrVi4sv/vw6y4kTJzJ27Fi6dOnCsmXLGl0XgNU2pdfS5ebmenFxcbLLEBERSYrS0lJ69+6d7DKOs3//flJTU4lGoxQUFDBhwgQKCgqSVs/OnTu55JJL+OCDDxK2zZo+GzN7091zq/et69CniIiISJOaMWMG/fv3Jzs7m549e5Kfn5+0WrZt28bll1/Od7/73aTVUJ+G3OuzWZhZClAMbHX3q80sHXgK6AFsAq5z911B33uBW4jdEWGyu/8xKUWLiIjISZk1a1aTj7l69WpuuummY9oikQgrVqyoer1z505Gjjz+9PuioiIyMjIaNEYyJC2oAVOAUqDy+tZpwFJ3n2lm04LX3zOzPsD1wEVAJrDEzC50d93GSkREROjbt2+9Fx9kZGTU2achYyRDUg59mlk3IA/4eVzzOGBB8HwBkB/X/qS7H3b394H3gIEJKlVEREQkaZJ1jtrDwD3A0bi2c919O0Dwt3PQ3hXYHNdvS9AmIiIi0qolPKiZ2dXAR+7+ZkNXqaGtxktVzWyimRWbWXFFRUWjaxQREREJg2TMqA0G/s7MNgFPAiPM7FfADjPrAhD8/SjovwXoHrd+N+D4n08G3P1Rd89199xOnTo1V/0iIiIiCZHwoObu97p7N3fvQewigZfc/evAc8DNQbebgWeD588B15tZxMx6Ar2AlQkuW0REREJk9+7dPPLII00y1hVXXFHrsm3btnHttdc2yXYaI5lXfVY3E1hoZrcA5cB4AHdfa2YLgXVAFJikKz5FRESa1voVH1L07Ab2f3KY1PQIl4/7IhcOOi/ZZdWqMqh9+9vfblD/I0eOkJKSUuOy119/vdb1MjMzefrppxtVY1NI6g/eunuhu18dPN/p7iPdvVfw95O4fj909y+6e5a7v5i8ikVERFqf9Ss+ZNkTZez/5DAA+z85zLInyli/4sOTGjc/P59LL72Uiy66iEcffRSAefPmceGFFzJ8+HBuvfVW7rjjDgAqKiq45pprGDBgAAMGDOC1114DYj+QO2HCBIYPH84FF1zA7NmzAZg2bRobNmygf//+3H333TVuv7CwkCuvvJIbb7yRvn371lpnampqrcs2bdpEdnY2AI899hhf/epXGTNmDL169eKee+458Z1ygsI0oyYiIiLN4P8WrufjzftrXb7j/T0ciR57nV7006O89Hgpa1+t8bRwzumeyt9cd2Gd250/fz7p6ekcPHiQAQMGkJeXxwMPPMCqVatIS0tjxIgR9OvXD4ApU6YwdepUhgwZQnl5OaNHj6a0tBSAsrIyli1bxr59+8jKyuL2229n5syZrFmzpt7fPlu5ciVr1qyhZ8+edfZrqJKSEt566y0ikQhZWVnceeeddO/evf4VG0lBTURE5BRXPaTV195Qs2fPZvHixQBs3ryZxx9/nGHDhpGeng7A+PHjWb9+PQBLlixh3bp1Vevu3buXffv2AZCXl0ckEiESidC5c2d27NjR4BoGDhzYZCENYOTIkVU3ku/Tpw8ffPCBgpqIiIg0Xn0zXwumv1Z12DNeanqEgu9c0qhtFhYWsmTJEoqKimjfvj3Dhw8nKyurapasuqNHj1JUVES7du2OWxaJRKqep6SkEI1GG1xHhw4dTrz4OpxMLY2hm7KLiIic4i4f90XanHFsJGhzxmlcPu6LjR5zz549dOzYkfbt21NWVsby5cs5cOAAL7/8Mrt27SIajbJo0aKq/qNGjWLOnDlVr+s7pJmWllY149aaKaiJiIic4i4cdB5X/v2XSE2PzRalpke48u+/dFJXfY4ZM4ZoNEpOTg7f//73ueyyy+jatSvTp09n0KBBfPnLX6ZPnz5VhxFnz55NcXExOTk59OnTh7lz59Y5fkZGBoMHDyY7O7vWiwkayqym39YPB3M/uePPYZWbm+vFxcXJLkNERCQpSktL6d27d7LLOM7+/ftJTU0lGo1SUFDAhAkTKCgoSFo9O3fu5JJLLuGDDz5I2DZr+mzM7E13z63eVzNqIiIikjAzZsygf//+ZGdn07NnT/Lz85NWy7Zt27j88sv57ne/m7Qa6qOLCURERCRhZs2a1eRjrl69mptuuumYtkgkwooVK6pe79y5k5EjRx63blFRERkZGQ0aIxkU1ERERKRF69u3b70XH2RkZNTZpyFjJIMOfYqIiLRSrfU89JbsRD8TBTUREZFWqG3btuzcuVNhLUTcnZ07d9K2bdsGr6NDnyIiIq1Qt27d2LJlCxUVFckuReK0bduWbt26Nbi/gpqIiEgrdPrppzfprZMkOXToU0RERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkFNREREREQkpBTURERCSkEh7UzKy7mS0zs1IzW2tmU4L2dDP7s5m9G/ztGLfOvWb2npn9xcxGJ7pmERERkWRIxoxaFPiOu/cGLgMmmVkfYBqw1N17AUuD1wTLrgcuAsYAj5hZShLqFhEREUmohAc1d9/u7quC5/uAUqArMA5YEHRbAOQHz8cBT7r7YXd/H3gPGJjQokVERESSIKnnqJlZD+BiYAVwrrtvh1iYAzoH3boCm+NW2xK0iYiIiLRqSQtqZpYKLALucve9dXWtoc1rGXOimRWbWXFFRUVTlCkiIiKSNEkJamZ2OrGQ9oS7PxM07zCzLsHyLsBHQfsWoHvc6t2AbTWN6+6Punuuu+d26tSpeYoXERERSZBkXPVpwDyg1N1/HLfoOeDm4PnNwLNx7debWcTMegK9gJWJqldEREQkWdokYZuDgZuA1WZWErRNB2YCC83sFqAcGA/g7mvNbCGwjtgVo5Pc/UjCqxYRERFJsIQHNXd/lZrPOwMYWcs6PwR+2GxFiYiIiISQ7kwgIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElIKaiIiIiIhpaAmIiIiElJtkl1AQ5nZGOA/gRTg5+4+M1m1PHrfT2Brdz47oyO4g1mwxAEDPwp2Wi3LGtrWFGOoNr2/U/H9hbk2vT/VFuYxVFtt/VOif+W0LhuY+G9TSTRz94Rv9ESZWQqwHrgK2AK8Adzg7utqWyc3N9eLi4ubvJZH7/sJR3Z8iaMpkSYfW0RERMLJjkZp03lts4U1M3vT3XOrt7eUQ58DgffcfaO7fwo8CYxLSiVbuyukiYiInGL8tDawtXvCt9tSglpXYHPc6y1B2zHMbKKZFZtZcUVFRbMU8tkZHZtlXBEREQm3ZGSAlhLUrIa2447Zuvuj7p7r7rmdOnVqlkJO/3RXs4wrIiIi4ZaMDNBSgtoWIH6+sRuwLSmVdN3MaUcOJ2XTIiIikhx2NApdN9ffsYm1lKs+3wB6mVlPYCtwPXBjMgqZ+G9TefS+n5Ciqz5bcW16f6otzGOEubbW/v7CXFtrf3/JrS2ZV322iKDm7lEzuwP4I7Gf55jv7muTVU8yPigRERE59bSIoAbg7r8Hfp/sOkREREQSpaWcoyYiIiJyylFQExEREQkpBTURERGRkFJQExEREQkpBTURERGRkFJQExEREQkpBTURERGRkDJ3T3YNzcLMKoAPmnkz5wAfN/M2TjXap01P+7TpaZ82Le3Ppqd92vSae5+e7+7H3ai81Qa1RDCzYnfPTXYdrYn2adPTPm162qdNS/uz6WmfNr1k7VMd+hQREREJKQU1ERERkZBSUDs5jya7gFZI+7TpaZ82Pe3TpqX92fS0T5teUvapzlETERERCSnNqImIiIiElIJaI5nZGDP7i5m9Z2bTkl1PS2Rmm8xstZmVmFlx0JZuZn82s3eDvx2TXWeYmdl8M/vIzNbEtdW6D83s3uA7+xczG52cqsOtln06w8y2Bt/VEjP727hl2qf1MLPuZrbMzErNbK2ZTQna9V1thDr2p76njWRmbc1spZm9HezT+4P2pH9HdeizEcwsBVgPXAVsAd4AbnD3dUktrIUxs01Arrt/HNf2EPCJu88MAnBHd/9esmoMOzMbCuwHfunu2UFbjfvQzPoAvwEGApnAEuBCdz+SpPJDqZZ9OgPY7+6zqvXVPm0AM+sCdHH3VWaWBrwJ5APfQN/VE1bH/rwOfU8bxcwM6ODu+83sdOBVYArwVZL8HdWMWuMMBN5z943u/inwJDAuyTW1FuOABcHzBcT+8ZFauPsrwCfVmmvbh+OAJ939sLu/D7xH7LsscWrZp7XRPm0Ad9/u7quC5/uAUqAr+q42Sh37szban/XwmP3By9ODhxOC76iCWuN0BTbHvd5C3f8jkZo58Ccze9PMJgZt57r7doj9YwR0Tlp1LVdt+1Df25Nzh5m9ExwarTz8oX16gsysB3AxsAJ9V09atf0J+p42mpmlmFkJ8BHwZ3cPxXdUQa1xrIY2HUM+cYPd/RJgLDApOOQkzUff28b7b+CLQH9gO/D/gnbt0xNgZqnAIuAud99bV9ca2rRfq6lhf+p7ehLc/Yi79we6AQPNLLuO7gnbpwpqjbMF6B73uhuwLUm1tFjuvi34+xGwmNi08Y7g/IvK8zA+Sl6FLVZt+1Df20Zy9x3BP+JHgZ/x+SEO7dMGCs77WQQ84e7PBM36rjZSTftT39Om4e67gUJgDCH4jiqoNc4bQC8z62lmZwDXA88luaYWxcw6BCfBYmYdgFHAGmL78eag283As8mpsEWrbR8+B1xvZhEz6wn0AlYmob4Wp/If6kABse8qaJ82SHCi9jyg1N1/HLdI39VGqG1/6nvaeGbWyczODp63A74MlBGC72ib5hi0tXP3qJndAfwRSAHmu/vaJJfV0pwLLI79e0Mb4Nfu/gczewNYaGa3AOXA+CTWGHpm9htgOHCOmW0B/gWYSQ370N3XmtlCYB0QBSbpqq/j1bJPh5tZf2KHNjYB3wLt0xMwGLgJWB2cAwQwHX1XG6u2/XmDvqeN1gVYEPyqw2nAQnf/nZkVkeTvqH6eQ0RERCSkdOhTREREJKQU1ERERERCSkFNREREJKQU1ERERERCSkFNREREJKQU1ESk1TGzDDMrCR4fmtnW4Pl+M3ukGbc73MyuaK7xReTUo99RE5FWx913EruNDmY2A9jv7rMSsOnhwH7g9QRsS0ROAZpRE5FTRjDj9bvg+QwzW2BmfzKzTWb2VTN7yMxWm9kfglv0YGaXmtnLZvammf0x7nYyk81sXXAD7CeDm2PfBkwNZu/+Jvi180Vm9kbwGBy37cfN7CUze9fMbk3SLhGRkNOMmoicyr4IXAn0AYqAa9z9HjNbDOSZ2QvAfwHj3L3CzL4G/BCYAEwDerr7YTM72913m9lc4mbvzOzXwE/c/VUz+wKxu5n0DradA1wGdADeMrMXKu9/KyJSSUFNRE5lL7r7Z2a2mtjt4P4QtK8GegBZQDbw5+B2ZynA9qDPO8ATZvZb4Le1jP9loE+wLsCZlfe4BZ5194PAQTNbRuwG2rWNIyKnKAU1ETmVHQZw96Nm9pl/fk+9o8T+fTRgrbtfXsO6ecBQ4O+A75vZRTX0OQ24PAhkVYLgVv3+fbqfn4gcR+eoiYjU7i9AJzO7HMDMTjezi8zsNKC7uy8D7gHOBlKBfUBa3Pp/Au6ofBHcMLvSODNra2YZxC5CeKMZ34eItFAKaiIitXD3T4FrgQfN7G2gBLiC2CHQXwWHTN8idh7abuB5oKDyYgJgMpAbXHCwjtjFBpVWAi8Ay4EHdH6aiNTEPp/pFxGRREjwT4aISAumGTURERGRkNKMmoiIiEhIaUZNREREJKQU1ERERERCSkFNREREJKQU1ERERERCSkFNREREJKQU1ERERERC6v8DQhbrIbdMFuQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hydra_agent_plot(rdf,'Hydra Token Holdings for Agent ', len(rdf['timestep']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Agent Values - Hydra World\n",
    "\n",
    "The following command line creates eight plots, one for each agents showing his values. These are the token holdings multiplied by price.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Q2tv5iQYcjgflbWPMN7yWZSjgeAfXApOMMckKnO9JYKExZkOfhVMyOO/dN4FwN+NIqRAicjn2gIVSvXHKAMX3niun0X/TDW2IzWR3u9jDZvfF7vUrJeLkGfwz9qi5IWNYKf2PsefAOqoShpVzvjlqWCkDAREZIyIzndBcI7ZH/GGv5VKqj++MKxH5X2xDqVHsuTm+iB2y+aKIrMWeXfe8rEMuxjYQ/OeC8ylOsvoe7HlXvu2xOIqiKIOVCHYqSwt2TvCv6ZYzrAxOfBkWVBRFURRFGaj4znOlKIqiKIoykFHjSlEURVEUpYKUNNNrfzFq1Chz6KGHei2GoiiKoihKUV555ZUPjDH7dS/3lXF16KGHsmrVquI7KoqiKIqieIyI5Fw2SsOCiqIoiqIoFUSNK0VRFEVRlAqixpWiKIqiKEoF8VXOlaIo/iCZTPL2228Tj8e9FkXJoqamhgMPPJBwOOy1KIqiFECNK0VRevD2228Ti8U49NBDERGvxVEAYww7duzg7bffZvz48V6LoyhKATQsqChKD+LxOCNHjlTDykeICCNHjlRvoqIMANS4UhQlJ2pY+Q/9TRRlYDBkwoIbnl3Osz+7j5YdHxAbOYqTL/osQI+yo04+1WNJlaFOqbqaq0z1V/Eafdcqis8Wbp42bZqpxiSiG55dzpN3LsZKdGTKJBhEREhbVqYsFIkyZ/6V+tArnlGqrlZbfzds2MBRRx3V5/P4mV27drF06VK+8pWv5N1nxYoV3HLLLTz66KP9KFlh/PTbdDekDps6ndeffkrftcqQQUReMcZM614+JDxXz/7svi4PO4BJpehuVlqJDp792X36wCsl01cvU/fjkx3xknTVb/r7f6++w82/+zNbd7Uzdp9hfPXMRuZNHdfvcpTDrl27uOOOOwoaV0p+uncEWj7YztrfP95jP7/pqqL0B0PCuGrZ8UFV9lWGNrkalyd+fGuXXnq+sifvXMw7f97QpZff8sH2Psvkhf7+36vvcO2vXqM9mQLgnV3tXPur1wD6bGDNmzePLVu2EI/HWbhwIfPnz+euu+7ixhtvZOzYsUyYMIFoNMrixYvZvn07l112Gc3NzQDceuutzJw5k6amJpqbm9m8eTPNzc0sWrSIBQsWcM011/DGG28wZcoUzjjjDG6++eacMuzdu5dPfvKTrFu3jr//+7/npz/96YDMfepLR6B72YmfvJinf3p3j45AOei7VimHgZYuMSTCgnde8fmSG67YqP2Y/58/qbgMyuCjHL3KiQhU+PmrlP5mh56+88jrrN+6J+++rzbvIpFK9yiPBANMPXifnMccPbaBb5/7kaJyfPjhh4wYMYL29namT5/O7373O2bOnMnq1auJxWKcdtppTJ48mcWLF/PpT3+ar3zlK5x00kk0Nzdz5plnsmHDBpqamnjyySdZvnw5LS0tNDY28u677/LOO+/wsY99jHXr1uWtf8WKFZx33nm8/vrrjB07lpkzZ3LzzTdz0kknFZW9WvQmLNiXcHOuskqg71qlVPySLpGLfGHBITFa8OSLPksoEu1SJsEggVBXx10oEs1YvopSjD73vEs0rHLpqp/0N5dhVai8HG6//XYmT57M8ccfz5YtW7j//vs55ZRTGDFiBOFwmAsuuCCz77Jly7jyyiuZMmUKH//4x9mzZw8tLS0AzJ07l2g0yqhRoxg9ejTvvfdeyTIcd9xxHHjggQQCAaZMmcJbb73V5+vqb/KlRnQ3mEotg9JHLvpJV5WBSV/01w1B9zdDIizoWqy53IfL7rqDRHs7sVH76QgWpSxiI0f1yXMlgQAm3dMAidbHiNTUlOT+7g/9LeZhmnnDH3hnV3uP8nH7DOPBfzqh1/WuWLGCZcuWsXLlSmpra5k9ezaNjY1s2LAh5/7pdJqVK1cybNiwHtui0c7OVTAYxCrDC9OXY/1CNUJwxhhCkWiXRi8UifKRU05n86sv99DV3/3X7aSSSX3XKmXTV/31IgQ9JIwrsA2sXA/zjnfe5qX/+4W6p5WyOfmiz/bJVf2RU07vMbIqFIly+ufm59TVXGUfvN3Mqkce9lR/v3pmY5ecK4Bh4SBfPbOxT+fdvXs3++67L7W1tWzcuJEXXniBL3/5yzz99NPs3LmTWCzGQw89xDHHHAPAnDlzWLx4MV/96lcBWLNmDVOmTMl7/lgslvFsDXb62hHIeU7HSCo1v2XDcyto27OHf/yPH1VUDmXw01f9jY0cVUFpSmPIGFf5CIXDGJMmnUoRCAa9FkcZQLiNyG9/fBvplJVpbKD0JMtxjUf1KfkyFI6QTlmk0ykCAW/0101ar/RowbPOOoslS5YwadIkGhsbOf744xk3bhzXXXcdM2bMYOzYsRx99NEMHz4csEOIV1xxBZMmTcKyLGbNmsWSJUvynn/kyJHMnDmTiRMncvbZZ+dNaB8M9KUjkK9z4OpqqfoaDEdIWckKXI0y1OhrR9aLEHRVE9pFZB/gf4CJgAG+YIxZmW//aiW0F+LlR37FMz+9m6vu/QWRmp7hBEUpxj3/8hVGjjuIc//52n6v+6Vf/5Jnl97Dgvt+SThaU7Hz+mkupe7s3buX+vp6LMvi/PPP5wtf+ALnn3++12L1G739bdY/u5wnFv8AoOyOQK6ycsN6j91+M+9t/gtfuPXOsmVXlL7obzVD0F7Nc3Ub8FtjzCdFJALUVrm+sgmG7NXlrURCjSulV1jJBMFw2JO6Q069qaRFOFpk50FCU1MTy5YtIx6PM2fOHObNm+e1SAOCI44/iScW/4CTLvosM87/VKa81BB0XxuoYCiMlVDPldI7+qq//U3VjCsRaQBmAZ8DMMYkgES16ustoYjTOKm7WuklqWSSYDjiSd1uvVbSd49W1bjlllsqfs7XXnuNSy65pEtZNBrlxRdfrHhdXpFydCQU8UZXQ5GwvmeVXpNK2rrjVUe2XKrpuToM2A78REQmA68AC40xrVWss2xCTuOU0h6V0kusZDJjpPc3bkOZGkLGVTU45phjWLNmjddiVBUrYeuIlx0BVwZFKZdM58Aj/S2Xas5zFQKOBX5sjJkKtALXdN9JROaLyCoRWbV9e2VHs5TCUOz5K5UllUh412A58wdZSe0cKIXp7Pl7M44pGA5rJ0DpNW4bHfSoI1su1TSu3gbeNsa4fvVfYhtbXTDG3GmMmWaMmbbffvtVUZzcBDM5K9o4Kb3DSiY8600FM54r1V+lMK4B7pWuhsJhUpaFn1YFUQYObr7ekPdcGWPeBbaIiDvZzenA+mrV11vchGDt+Su9IZ1KYdJpz7wB7otGwy1KMbwOq7jeXe0IKL3B1V/NubK5CnjAGSm4Gfh8lesrm0zOlbqrlV6Q8tgb4I521URhpRheh1U6O7IJz5LqlYGL1+/acqnq2oLGmDVOyG+SMWaeMWZnNevrDcGsB15RyiXTYHkVanFHu3rtufrTz+FHE6FpH/v/n37urTwlsGvXLu64446KnOvEE0+syHlcbr31Vtra2ip6zpTHYRX1XCl9wRpgnqshsXBzITTnSukLVmZ4uzcPfOeADA/1908/h0cWwO4tgLH/P7LA9wZWucZVKpXKu+3555+vhEgZqmFcZRqnkNdzsum7Vikfr3MGy0WXv4n4oHFSBiyuN8DrBquqntcnroF3X8u//e2XIdV1xXqS7fDrK+GVe3Mfc8AxcPYNRaueN28eW7ZsIR6Ps3DhQubPn89dd93FjTfeyNixY5kwYQLRaJTFixezfft2LrvsMpqbmwHbQJk5cyZNTU00NzezefNmmpubWbRoEQsWLOCaa67hjTfeYMqUKZxxxhk5l79ZsWIF3/nOdxgzZgxr1qxh/frcaaP19fXs3bs35zZjDF/72td44oknEBG+8Y1vcOGFF7JixQpuueUWHn30UQCuvPJKpk2bxp49e9i6dSunnnoqo0aNYvny5UXvUym4oWOvQnIaJVD6gtfztJXLkDeuMjkrXodVlAGJ5fED74tQS3fDqlh5Gdx9992MGDGC9vZ2pk+fzty5c7n++utZvXo1sViM0047jcmTJwOwcOFCrr76ak466SSam5s588wz2bBhAwAbN25k+fLltLS00NjYyOWXX84NN9zAunXris5v9dJLL7Fu3TrGjx/fq2v41a9+xZo1a1i7di0ffPAB06dPZ9asWXn3X7BgAT/84Q9Zvnw5o0ZVbsFZd7SVd6sJ+EBXlQFLRn9DA8NsGRhSVpHMJIyaEKz0gs65g7wb3p4tR1Uo5mH60UQnJNiN4QfB5x/rU9W33347Dz/8MABbtmzh/vvv55RTTmHEiBEAXHDBBWzatAmAZcuWdfEs7dmzh5aWFgDmzp1LNBolGo0yevRo3nvvvZJlOO6443ptWAE899xzXHzxxQSDQfbff39OOeUUXn75ZRoaGnp9zt7g+WjBiHqulN7jttFB9VwNDDKuap2hXekFnXkAXuVc+aDBOv1bdo5Vsr2zLDzMLu8DK1asYNmyZaxcuZLa2lpmz55NY2NjxhvVnXQ6zcqVKxk2rOcaodFo58KLwWAQy7JKlqOurq584bPIN69TKBQinU5nvsfj8T7VUwzvRwvqahhK73GnmxkoOVea0O6HxkkZsHjtDfBFqGXSp+Dc221PFWL/P/d2u7wP7N69m3333Zfa2lo2btzICy+8QFtbG08//TQ7d+7EsiweeuihzP5z5sxh8eLFme/Fwn2xWCzj2aoms2bN4sEHHySVSrF9+3aeeeYZjjvuOA455BDWr19PR0cHu3fv5qmnnqqqbJbH+YFuvZZGCZReoPNcDTBCIR3BovQer4cH+6ZzMOlTfTamunPWWWexZMkSJk2aRGNjI8cffzzjxo3juuuuY8aMGYwdO5ajjz6a4cOHA3YI8YorrmDSpElYlsWsWbNYsmRJ3vOPHDmSmTNnMnHiRM4+++ycCe2V4Pzzz2flypVMnjwZEeGmm27igAMOAOBTn/oUkyZNYsKECUydOjVzzPz58zn77LMZM2bMoElo13Uwlb6QiRJoWHBgIIEAwVBIH3ilV6Q8ThIOBINIIDAoOwfRaJQnnniiR/m0adOYP38+lmVx/vnnM2fOHABGjRrFgw8+2GP/pqamLt/XrVuX+bx06dKCMsyePZvZs2cXlTXfSEEAEeHmm2/OabzddNNN3HTTTT3Kr7rqKq666qqi9ZZDyuOwiqZgKH3B1V+vPK/lMuTDgmA/9DoVg9IbLI+9AWA3lkNJf5uampgyZQoTJ05k/PjxzJs3z2uRBgRWMokEAgSCQU/qz8wpqGFBpRekrCQi3ulvuQx5zxXYI70GY89fqT5eewPAHj0zlDyvt9xyS8XP+dprr3HJJZd0KYtGo7z44ouZ7zt27OD000/vcexTTz3FyJEjSzqHl3i5wDjoOphK37CSSYKRMCLitSglocYVbs9fH3ilfKykt2FBsEedaailbxxzzDFFE+BHjhxZcJ9SzuElqWTCUz3tXA1D37VK+VgJbzsH5aJhQSAYDqnnSukVfhjBEoxENNSiFCWVTHo2ZQjo8jdK30glE57qb7mocYXtudIHXukNfph7JRSO6AoDSlHssIqH4Ws/rIOpDFisZHLATMMAalwB9kOvYUGlN2RmDfbScxUKq/4qRUl5HFYJBIOIBDQsqPSKVDLp2UoYvUGNKyAUCesDr/QKtzflZZJlMBImVcaM48rQxEomPB3GLiI6MlvpNV4PyCgXNa5we/7aOCnlk0p422CBMyDD47DgY5sfY84v5zDp3knM+eUcHtvctzUF+4Ndu3Zxxx13VOx855xzDrt27arY+SqNO9rKS0LhsKZgKL0i5QP9LQc1rrDnKFLPldIbrGTC8xmD7QbLO/19bPNjND3fxLbWbRgM21q30fR8k+8NrEobV48//jj77LNPxc5XaeyEdm91NRjRFAyldwy00YI6FQPOJKKaEKz0glTS8jzJMlhlb8CNL93Ixg835t3+p+1/IpHu+vzEU3G+9cdv8ctNv8x5zJEjjuTfjvu3onXPmzePLVu2EI/HWbhwIfPnz+euu+7ixhtvZOzYsUyYMIFoNMrixYvZvn07l112Gc3NzQDceuutzJw5k6amJpqbm9m8eTPNzc0sWrSIBQsWcM011/DGG28wZcoUzjjjjJwzqG/bto0LL7yQPXv2YFkWP/7xjzn55JNzynrooYeyatUqRo0aVfS6vCCVTBCpafBUhmAorIMvlF6RSiYIe6y/5aDGFc4Dr65qpRf4IQ8g6PEM7d0Nq2Ll5XD33XczYsQI2tvbmT59OnPnzuX6669n9erVxGIxTjvtNCZPngzAwoULufrqqznppJNobm7mzDPPZMOGDQBs3LiR5cuX09LSQmNjI5dffjk33HAD69atKzg31dKlSznzzDP5+te/TiqVoq2trc/X5BWWDxKCQ+EwluYHKr3A66lEykWNK+ywoK7UrvQGP8y9Uu1JcIt5mOb8cg7bWrf1KB9TN4afnPWTPtV9++238/DDDwOwZcsW7r//fk455RRGjBgBwAUXXMCmTZsAWLZsGevXr88cu2fPHlpaWgCYO3cu0WiUaDTK6NGjee+990qqf/r06XzhC18gmUwyb948pkyZ0qfr8RKvJxGFobeagFI5/NA5KAfNucJZ/kZd1Uov8MPcK15Pgrvw2IXUBGu6lNUEa1h47MI+nXfFihUsW7aMlStXsnbtWqZOnUpjY2Pe/dPpNCtXrmTNmjWsWbOGd955h1gsBtjL0LgEg8GSvSezZs3imWeeYdy4cVxyySXcd999fbomL7ES3udchUKagqH0Dj9ECcpBjSsgFA7p8GClV6QSCc97U15Pgjv3sLk0ndjEmLoxCMKYujE0ndjE3MPm9um8u3fvZt9996W2tpaNGzfywgsv0NbWxtNPP83OnTuxLIuHHnoos/+cOXNYvHhx5nuxpWhisVjGs5WPv/3tb4wePZovf/nLfPGLX2T16tV9uiYvSVlJQh6PtrKnDdF3rVI+qaT3+lsOGhZEF25Weo9lJYnUDPNUBj+MwJp72Nw+G1PdOeuss1iyZAmTJk2isbGR448/nnHjxnHdddcxY8YMxo4dy9FHH83w4cMBO4R4xRVXMGnSJCzLYtasWSxZsiTv+UeOHMnMmTOZOHEiZ599ds6E9hUrVnDzzTcTDoepr68f4J4rf3QEOlpbPZVBGZhYPpj2phzUuMJ+4NMpi3Q6RSAQ9FocZQCRSiQJxnwwAiuZxBgzYFaML4VoNMoTTzzRo3zatGnMnz8fy7I4//zzmTNnDgCjRo3iwQcf7LF/U1NTl+/r1q3LfF66dGlBGS699FIuvfTSkuR96623StrPK/yQH2hPIqphQaV8Upa3yzeVi4YFyV6tXb1XSnn4IQ8gsyDuEBmF1dTUxJQpU5g4cSLjx49n3rx5Xovke0w6Tcryw7QhGiVQyscYo6MFByKdq7VbhKNFdlaULPwwAsudxNQPnon+4JZbbqn4OV977TUuueSSLmXRaJQXX3yxx74zZsygo6OjS9n999/PMcccU3G5KoWVWQPT+46A5rcq5eIa5F7rbzmocUX2au3qrlbKw/JBb8rNQ7ASCaK1dZ7KMlA55phjiibAu+QyuPyO2zh57WUNeryagDIwcdtmr/W3HDQsSHZYUB96pTz8sFK7u96WjsJS8pExrjxfW1DDgkr5dHquBo5nXo0rOsOC6q5WysUfaws6nteE6q+SG3duKc87AhoWVHpBp+dVjasBRTCTs6IPvVI6xhh7tKDHw4PV86oUww2reN3zDzmjBY0xnsqhDCwy+juARgtWNedKRN4CWoAUYBljplWzvt4SyspZUZRSSadSGJP2vDfleq60c6Dkwy89/2A4AsaQTqUIhjTlVykNt232Wn/LoT88V6caY6b41bCCTle55qwo5ZDySW8qmAlre9c52P3II/zltNPZcNTR/OW009n9yCOeyVIqu3bt4o477qjIuU488cSKnMfl1ltvregi0X5JaA+pl1XpBX7R33LQsCCdSZ66vqBSDpZvvAHe5gzufuQRtn3zW1hbt4IxWFu3su2b3/K9gVWucZVKpfJue/755yshUoZKG1edYUG/dAS0I6uUjl/C2uVQbb+sAZ4UEQP8lzHmzirX1ys6p2LQB14pHb/MvVLtsOC73/8+HRs25t3evnYtplvHxMTjbPv6N9j181/kPCZ61JEccN11ReueN28eW7ZsIR6Ps3DhQubPn89dd93FjTfeyNixY5kwYQLRaJTFixezfft2LrvsMpqbmwHbQJk5cyZNTU00NzezefNmmpubWbRoEQsWLOCaa67hjTfeYMqUKZxxxhl5l7/5zne+w5gxY1izZg3r16/PKWd9fT179+7Nuc0Yw9e+9jWeeOIJRIRvfOMbXHjhhaxYsYJbbrmFRx99FIArr7ySadOmsWfPHrZu3cqpp57KqFGjWL58edH7VAy34+j1aMGghrCVXuCXd205VNu4mmmM2Soio4Hfi8hGY8wz2TuIyHxgPsDBBx9cZXFy0znDtT7wSul0zr3idc6Vt6GW7oZVsfJyuPvuuxkxYgTt7e1Mnz6duXPncv3117N69WpisRinnXYakydPBmDhwoVcffXVnHTSSTQ3N3PmmWeyYcMGADZu3Mjy5ctpaWmhsbGRyy+/nBtuuIF169YVnd/qpZdeYt26dYwfP75X1/CrX/2KNWvWsHbtWj744AOmT5/OrFmz8u6/YMECfvjDH7J8+XJGjRrVqzq743YcvR584Y6s1TkFlXLwS5SgHKpqXBljtjr/3xeRh4HjgGe67XMncCfAtGnTPBlCkvFcaVhQKYOUj4a3Q/U8r8U8TH857XQ7JNiN0NixHHJ/3xY6vv3223n44YcB2LJlC/fffz+nnHIKI0aMAOCCCy5g06ZNACxbtqyLZ2nPnj20tLQAMHfuXKLRKNFolNGjR/Pee++VLMNxxx3Xa8MK4LnnnuPiiy8mGAyy//77c8opp/Dyyy/T0NB/a1JmOgJe5weGNAVDKZ+UT/S3HKqWcyUidSIScz8Dc4B1hY/yhpCuLaj0Anctv6Eeahl99SKkpqZLmdTUMPrqRX0674oVK1i2bBkrV65k7dq1TJ06lcbGxrz7p9NpVq5cyZo1a1izZg3vvPMOsVgMsJeycQkGg1hlrMNYV9e3We/zTTsQCoVIp9OZ7/F4vE/1FMIvYZVMfusQWQdTqQyZedo89ryWQzUT2vcHnhORtcBLwGPGmN9Wsb5e44fRVsrAwy8TM3odahl+7rmMuf67hMaOBRFCY8cy5vrvMvzcc/t03t27d7PvvvtSW1vLxo0beeGFF2hra+Ppp59m586dWJbFQw89lNl/zpw5LF68OPO9WLgvFotlPFvVZNasWTz44IOkUim2b9/OM888w3HHHcchhxzC+vXr6ejoYPfu3Tz11FNVk81XUzGgUQKlPNyUnaDHHdlyqFpY0BizGZhcrfNXEp0nSOkNvsu58rDBGn7uuX02prpz1llnsWTJEiZNmkRjYyPHH38848aN47rrrmPGjBmMHTuWo48+muHDhwN2CPGKK65g0qRJWJbFrFmzWLJkSd7zjxw5kpkzZzJx4kTOPvvsnAntpSIiebedf/75rFy5ksmTJyMi3HTTTRxwwAEAfOpTn2LSpElMmDCBqVOnZo6ZP38+Z599NmPGjKlIQrtfJmHMzCmoHVmlDNzVJwbSVAw6ixvquVJ6h1/Wu8rM0D7IQi3RaJQnnniiR/m0adOYP38+lmVx/vnnM2fOHABGjRrFgw8+2GP/pqamLt/XrevMTli6dGlBGWbPns3s2bML7rNjx45MDlguRISbb745p/F20003cdNNN/Uov+qqq7jqqqsK1lsOmUkYvV5NQNfBVHpBShduHpgEgkEkEFDPlVIWflmpPRAMgciQ6Rw0NTUxZcoUJk6cyPjx45k3b55nsmzdupUTTjiBf/3Xf/VMhlLwS0cgEyXQdTCVMtB5rgYwoXBE57lSysIvScIiYuvvEMljueWWWyp+ztdee41LLrmkS1k0GuXFF1/MfN+xYwenn356j2NXrlzJyJEjSzqHV1jJBIFgkEAw6KkcGiVQekMqmUQCAc/1txzUuHIIRiK6JINSFp3D273vTQXDIfW89oFjjjmmaAL8yJEjC+5Tyjm8IpVMet4JAM1vVXqHlUx6HiEoFw0LOoRCoUzSnKKUghva8MPw4FA4og2Wkhe7cfJeT3X5G6U3pJIJzwdjlIsaVw7BSESTLJWy8MvEjGCHJjXUouQjlUz4Il8lqAs3K73ASvijc1AOalw5hMIRnTVYKQu/5FzZMoTVG6DkxUokfBFWCek6rkovSCX9ob/loMaVQzAU1p6/Uhad67V5n7oYCoc1LKjkxc658r7nr54rpTdYPvG8loMaVw7BSHjQzROkVBe3N1VoAsn+ws658q7B2vTiu9x73R/5z8v+wL3X/ZFNL77rmSylsmvXLu64446Kne+cc85h165dFTtfJUlZSV+Er0WEYCikniulLPzSOSgHNa4chtJQdqUy+Kk3ZYcFvdHfTS++y/IHNrL3ww4A9n7YwfIHNvrewKq0cfX444+zzz77VOx8lcRKJHwRvgY7jK5eVqUcBuJoQe/jGT4hGA6TjLd7LYYygEgl/NObCobDJNrbqnLuZ3++iQ+27M27/b03d5Oyui5ObCXS/OH+Dbz+3Nacx4w6qJ6TP3VE0brnzZvHli1biMfjLFy4kPnz53PXXXdx4403MnbsWCZMmEA0GmXx4sVs376dyy67jObmZgBuvfVWZs6cSVNTE83NzWzevJnm5mYWLVrEggULuOaaa3jjjTeYMmUKZ5xxRs4Z1Ldt28aFF17Inj17sCyLH//4x5x88sk5ZT300ENZtWoVo0aNKnpd/Y3dOPnjdR/SaW+UMkklE76Y8qYc/PG0+QDNWVHKxUomfBFqAbvBatuz25O6uxtWxcrL4e6772bEiBG0t7czffp05s6dy/XXX8/q1auJxWKcdtppTJ5sL2G6cOFCrr76ak466SSam5s588wz2bBhAwAbN25k+fLltLS00NjYyOWXX84NN9zAunXrCs5NtXTpUs4880y+/vWvk0qlaGurjgFbbVLJBNHaWq/FAJz8Vp32RikDK5EkMswf+lsqalw5BHWGdqVM/DIxI9gNVrVGuxbzMN173R8zIcFs6kdEOf9fju1T3bfffjsPP/wwAFu2bOH+++/nlFNOyazld8EFF7Bp0yYAli1bxvr16zPH7tmzh5aWFgDmzp1LNBolGo0yevRo3nvvvZLqnz59Ol/4whdIJpPMmzePKVOm9Ol6vMIvowXBnnRXp71RyiGVTPhiPsFy0Jwrh5DOE6SUiV8mZgTH8+pRg3XCeYcTinR9lYQiAU447/A+nXfFihUsW7aMlStXsnbtWqZOnUpjY2Pe/dPpNCtXrmTNmjWsWbOGd955h1gsBtjL0LgEg0GsEgevzJo1i2eeeYZx48ZxySWXcN999/XpmrwiZfkphK35rUp5+GVARjmoceWgy4co5eKXiRnBngTXK8/rETMO4NTPHEn9CNuAqR8R5dTPHMkRMw7o03l3797NvvvuS21tLRs3buSFF16gra2Np59+mp07d2JZFg899FBm/zlz5rB48eLM92JL0cRisYxnKx9/+9vfGD16NF/+8pf54he/yOrVq/t0TV5hJf3TONkpGGpcKaVj+Si/tVQ0LOigy4co5WL5aGK7aoYFS+GIGQf02ZjqzllnncWSJUuYNGkSjY2NHH/88YwbN47rrruOGTNmMHbsWI4++miGDx8O2CHEK664gkmTJmFZFrNmzWLJkiV5zz9y5EhmzpzJxIkTOfvss3MmtK9YsYKbb76ZcDhMfX19Uc+VH6blyEUq4Z+wStBDL6syMPHTu7ZU1LhysHv+2ptSSieVSBLxSZJwKBLBGmQNVjQa5YknnuhRPm3aNObPn49lWZx//vnMmTMHgFGjRvHggw/22L+pqanL93Xr1mU+L126tKAMl156KZdeemlRWVOpFC0tLTQ0NBTd1wtsz5VfjKsIVkfPHD1FycdAHC2oYUGHYMgeLWhM30c4KUMDy0d5AKFwmFRiaOhvU1MTU6ZMYeLEiYwfP5558+Z5LRIf+chH+NKXvkTYp6ELO4TtH13VjqxSDlYi6RvPa6kU9VyJ7ef+DHCYMea7InIwcIAx5qWqS9ePuInJKcvyTZKy4m/8FWqJYEyadCrli+V4qsktt9xS8XO+9tprXHLJJV3KotEoL774Yo99Z8yYQUc3z8svfvELjjnmmIrLVQnS6RTpVMo3YZWgTnujlIFJp0mnLN90DkqllLfwHUAaOA34LtACPARMr6Jc/Y7rgbCXNPFHg6n4Gz+NFsys2WYlB71xVQ2OOeaYognwLrkMLj/TucC4P3RV81uVcnDTHfwSJSiVUsKCM4wxVwBxAGPMTmBgXWUJuB4IHSKslEoqmSDokwfeNfJUf5XuuKNI/dMR0PxWpXRSCX/pb6mUYlwlRSQIGAAR2Q/bkzWoCEY6e/6KUgopH6135brM1SOgdMcdReqXsIqGBZVycA1xv+hvqZRiXN0OPAyMFpHvAc8B36+qVB7gNpK6LINSKpaPVmrPeK7UI6B0I+O58pGXVVfDUEollTGu/PGuLZWiyRnGmAdE5BXgdECAecaYDVWXrJ/J5Kxo46SUgDHGmXvFHw+8eq6UfPgu50oXblbKwG9h7VIp6rlyRge2AY8AvwFanbJBRUgbJ6UM0ikLjPGNq9qdA8Yr/d3w7HLuvOLz/OCic7nzis+z4dnlnshRDrt27eKOO+4ouM9bb71VdC4ssGeDf/zxx4vut2LFCj72sY+VLGMlsHzW8w+GwqRTKdLplNeiKAOATOfAJ57XUiklLPgY8Kjz/ylgM9BzZr8BTlDDKkoZWD5LsvRyQMaGZ5fz5J2LaflgOxhDywfbefLOxb43sLwwrrzA9RL5Jz/Q246AMrBw32l+0d9SKSUs2GXyFhE5FvinqknkEZ3GlT7wSnHcgQ9+6U1lPK9VGJCx/J47ef9vm/Nu37bpzz3qtRId/G7J7fzpD7/LeczoQw7j1M/NL1r3vHnz2LJlC/F4nIULFzJ//nzuuusubrzxRsaOHcuECROIRqMsXryY7du3c9lll9Hc3AzArbfeysyZM2lqaqK5uZnNmzfT3NzMokWLWLBgAddccw1vvPEGU6ZM4Ywzzsi5/M0111zDhg0bmDJlCpdeeimXX345l19+OatWrSIUCvHDH/6QmTNn8q1vfYv29naee+45rr32WsaPH8+iRYtob29n2LBh/OQnPym46HQ18VtHwM39spJJwtEaj6VR/E5n58Af+lsqZU+IY4xZLSKDao4r0LCgUh5ub8o3k4hGvPO85jPoKmHo3X333YwYMYL29namT5/O3Llzuf7661m9ejWxWIzTTjuNyZMnA7Bw4UKuvvpqTjrpJJqbmznzzDPZsMFOD924cSPLly+npaWFxsZGLr/8cm644QbWrVtXcH6rG264gVtuuYVHH30UgB/84AeAPenoxo0bmTNnDps2beK73/0uq1atyiwcvWfPHp555hlCoRDLli3juuuu67LIdH+S8tloK/eZ8XItTGXgYPksZ7BUSpmh/Z+zvgaAY4HtVZPII0Ka0K6UQaY35RPPVWeDVfnOQTEP051XfN4OCXYjNmo/Lvz2DX2q+/bbb+fhhx8GYMuWLdx///2ccsopjBgxAoALLriATZs2AbBs2TLWr1+fOXbPnj20tLQAMHfuXKLRKNFolNGjR/Pee+/1Sp7nnnuOq666CoAjjzySQw45JFN/Nrt37+bSSy/lL3/5CyJC0sNOm98mYcxM2KzT3igl0Dkgwx/6Wyql5FzFsv6i2LlX51VTKC/QsKBSDn4bwZIJtXjQYJ180WcJRaLd5Ily8kWf7dN5V6xYwbJly1i5ciVr165l6tSpBUNr6XSalStXsmbNGtasWcM777xDLBYD7KVsXILBIJZl9UqmUtdu/OY3v8mpp57KunXreOSRR4jH472qrxKk/OZlzUx4q+9apTiWz3IGS6WocWWM+U7W3/eMMQ8YY7x7U1QJHcqulIPfJmbMhLU9CLUcdfKpzJl/JbFR+4EIsVH7MWf+lRx18ql9Ou/u3bvZd999qa2tZePGjbzwwgu0tbXx9NNPs3PnTizL6hJqmzNnTiYsBxRdziYWi2U8W6XuM2vWLB544AEANm3aRHNzM42NjT322717N+PGjQPgnnvuKfWSq0LnPFc+M640SqCUQMpn+lsqecOCIvIIzqzsuTDGfLyUCpzZ3VcB7xhj+ncMchl0JlnqA68UJxNq8Ylx5bXn9aiTT+2zMdWds846iyVLljBp0iQaGxs5/vjjGTduHNdddx0zZsxg7NixHH300QwfPhywQ4hXXHEFkyZNwrIsZs2axZIlS/Kef+TIkcycOZOJEydy9tln50xonzRpEqFQiMmTJ/O5z32Or3zlK1x22WUcc8wxhEIh7rnnHqLRKKeeeio33HADU6ZM4dprr+VrX/sal156KT/84Q857bTTKnpfysVvOVea36qUg+WzjmypFMq5qtTS8wuBDUBDhc5XFTI5V5pkqZSAm9sUDPtjkeTBOLw9Go3yxBM9Z32ZNm0a8+fPx7Iszj//fObMmQPAqFGjePDBB3vs39TU1OX7unXrMp+LTbMQDod56qmnupTl8kSNGDGCl19+uUtZdi7W9ddfD8Ds2bOZPXt2wTorTedoQX80TprfqpTDoJuh3RjzdF9PLiIHAnOB7wH/XGR3T8k0Tr3MxVCGFn7LA8gs3zQEGqympiaWLVtGPB5nzpw5zJs3z2uRfE3ntCH+aJy89rIqAwu/5beWSimjBScA/wEcDWQmJTHGHFbC+W8FvoadDO9rAsEQiAyJxknpO5nelE9GYAVD9qM8FLwBt9xSKad6J6+99hqXXHJJl7JoNMqLL75Y8br6m8wkjL5JaNewoFI6flu+qVRKiWn8BPg28CPgVODz2GsMFkREPga8b4x5RURmF9hvPjAf4OCDvVtVR0QIhSOezHCtDDz81puSQIBgKFTRBssYg0jRR31QcMwxxxRNgPcDpY5WzCaVTBAIhpBAKYPDq89Q8rIqfcdy9DcQCHotSlmU8rQNM8Y8BYgx5m/GmCaglAzNmcDHReQt4GfAaSLy0+47GWPuNMZMM8ZM22+//coQvfIEw5VtnJTBix/nXgmGIxULtdTU1LBjx45eNeZKdTDGsGPHDmpqypvV3EomfTXSajDmByrVI5VM+Ep/S6UUz1VcRALAX0TkSuAdYHSxg4wx1wLXAjieq381xvxj70WtPqFwRB94pSQsHy7JEAyHKxYWPPDAA3n77bfZvn3QzRc8oKmpqeHAAw8s65hUMuGrTkBIjSulDKxE0jdztJVDoakY9jfGvAcsAmqBBcD12KHBS/tFun7G7vmrq1opjt/muQK7c1Apz1U4HGb8+PEVOZfiLVYy6ZuBF9CZp6jvWqUUUlbSN7mt5VDIc7VWRF4D/hfYZIx5GzvfqmyMMSuAFb05tj8JhsM6gkUpCb9NzAi2LOoNULqTSiZ9M2UIdCbWa36rUgpWIuGrCEGpFMq5Goc919XJwCYR+T8RuVBEhvWPaP1PKKyNk1IaKSsJIvYoU58Q1AEZSg7sxsk/Pf/OaW/0XasUJ+Uzz2up5DWujDEpY8zvjDGfBw7CHjU4D3hTRB7oJ/n6FTvnShsnpThWIkEoFPbVaLpgKKwNltIDv+VcBYJBAsGgdmSVkrB8pr+lUtLYXGNMAliPPdP6Huw5rwYddlhQjSulOKlk0jeTMrrYYUHVX6UrfhstCHZHQL2sSinYnQN/6W8pFDSuRORgEfmqiKwGHgWCwHnGmKn9Il0/E9SwoFIiVtJfoRZww4Kqv0pX7Jwrn+lqJKJeVqUkrKQ1IHOuCo0WfB477+oXwHxjzKp+k8ojQpEIbXt2ey2GMgBIJfznqg6Fw8T3tngthuIzrGSCmvp6r8XoQigc1o6AUhKpZIKaujqvxSibQtm41wLPmCE0i2AwFNaFm5WSsCz/9abU86rkwvZc+VFX9V2rFMdKDMywYFUXbh5ohMKaEKyUhh/zAHQSXCUXfgxhq64qpTLoRgsORYKRyk3CqAxu/Da8HXRAhpIbP4awVVeVUrF82JEtBTWustCwoFIqfhwtGFRvgJIDy7L8N1pQJ2xWSsSPAzJKoahxJSILRaRBbO4SkdUiMqc/hOtvQpEIloYFlRLwZ6hFGyylJ6lEwndrs2lYUCkVe/kmf+lvKZTiufqCMWYPMAfYD3sJnBuqKpVHhMJhUokkQyiHX+klfuxNaZKwkgsrmSDks7XZQqqrSomkfKi/pVCKceVOQX0O8BNjzNqsskFFMBzBmDTpVMprURSfY/lwBFYoHCGdSpFOq/4qNulUCpNO+05XNSyolEI6lSKdSvlOf0uhFOPqFRF5Etu4+p2IxIB0dcXyBl3zSimVVNJ/i4lm9FcbLcXBTRr3Wwhb8wOVUnB1xG9h7VIoZdXZLwJTgM3GmDYRGYkdGhx0uI2llUgQqRm061MrFcCPowUz+ptMEo7WeCyN4gcyjZPvdDWiowWVorg50AMxLFiKcTXF+X9Y1iK1u0UkZIyxqiKVR7gvIO1RKcXw62hBUP1VOun0XPlNV0Oqp0pR3NH7fuvIlkIpxtUdwLHAn7BzrSY6n0eKyGXGmCerKF+/0tnz1x6VUphUMuk7V7Xbu9NEYcUllXA9Vz7TVQ0LKiVgJf2pv6VQSs7VW8BUY8w0Y8zfA1OBdcBHgZuqKFu/oz1/pRSMMb4cgRUM2X0lXbNNccl4rvymqxENCyrFSflUf0uhFOPqSGPM6+4XY8x6bGNrc/XE8gZ3oj01rpRCpCw7Gu43V3XQ9VzpgAzFwa85V8GQvQ6mTnujFMJywoJ+ixKUQilhwT+LyI+BnznfLwQ2iUgUGFRvcfcHtHSWdqUAbm/Kb65q19hT/VVc3LCK33KuQpmR2f5bAF3xD25HcSDqSCmeq88BfwUWAVcDm52yJHBqleTyBLdx0p6/UgjLp0mWbudAc64UF992BDQ/UCkBN8UhOADDgkU9V8aYduAHzl939lZcIg9xR39pLoBSCNf49l+DpWFtpSt+nucK7I5KtLbOY2kUv5Lyqf6WQlHjSkRmAk3AIdn7G2MOq55Y3pDp+WtCsFIAtzflN1d1psFS40px8OtowWDYbko0SqAUwvKp57UUSsm5ugs7HPgKMKjX1XBd1bp4s1KITKjFZ67qTM6Vel4VB7+OFuzMD9R3rZKf1ACeiqEU42q3MeaJqkviAzI5V5oQrBTAv6EWDQsqXUllEtr9pauZd612BJQCWD7V31IoxbhaLiI3A78COtxCY8zqqklVBTa9+C4rf/0Gez/soH5ElBPOOxygS9nUj44CNKyiFKbavalSdDWn/p4+sot8ilLtSRh7q6uHHdMKqK4qhRnI81yVYlzNcP5PyyozwGmVF6c6bHrxXZY/sBErYa83vffDDpbdux4RIZ0ymbLnf/UmoA+8UpjsBqu3jcsJ5x3OETMO6HH8oRNHsvGFd4vqak79ffhNRz71Big22aMF+6Kr+cpKea/mKvvTim2A6qpSGCtRuXdtf1PKaMEBP93Cyl+/kXkBuJg0GLpOYGclA85/feCV/LgN1tY/t/DqU9u7Ni73rUfo1rjkKFv+wEa2vbGrhyG17pmtPerLpasF9VfD2oqDqwtvrtnJMw++0StdzVX21H0bEIGUVVwvc5WlU+67VjuySn7ctvjNVz/kmZ9v7vW7Fuh3AyuvcSUi/2iM+amI/HOu7caYH1ZPrMqy98OO4jsBEAQ0D0ApjNubeu2Zd7ESDV22mVSOxiVHmZVI5zSk+oajvzogQ3FwjZcXH/1bzw5mibqaq8xtvHqP+65VXVXy4+rHi48191p/rUSalb9+wz/GFeBOPhLrD0GqSf2IaEkGlogAQX3glYK4xnfbnhSBoMfCZCESAAKqv0qGlJUkGA7TutNnHUZxpmLQjqxSgFQyQTAU6rP+lu5gqRx5jStjzH85/7/Tf+JUhxPOO7xLbgCABOniPgQIRQKEIhF1VSsFcfWjbt9a2vf0/jwSsEMmRffLoav59DcYDmtYUMmQSiQIhsIldzDLIVoXJJU0Rd+rOXU1HCaBhgWVwljJJMFwpM/6Wz8iWkGpSiPv8jcicnuhv/4Usq8cMeMATv3MkZkbXD8iykc/ezSnf/YoorW2fVm3T5RTP3MkkWFR7U0pBXH1Y/rZf0co0vURkiAEglK0LBQJ8JGTxvY4PhQJMHHW2Jy6Wor+hmuiGhZUMljJBKFIhBPOO5xQuHe6mk9/Z32qMe97NVdZKBrIlJ34D422fNoRUAqQqoD+hiKBTKJ7f1IoLPiK838mcDTwoPP9gqxteRGRGuAZIOrU80tjzLd7L2rfOGLGATljrgZY9pP1zLt6KvvsX8uKe8Pam1IK4upH4/HjiNbG+P0968HQqxEsYw7fJ2f5KTnqzaW/aWN46p4NzPvnqewzupbl94R1YkYlQypphwWPmHEA8bYkzz74F6B8Xc1V5upjLr3MVfb+lhZef+YdLv3+TNr27GbZf2t+oFIYK5EkGOq7/vpqtKAx5l4AEfkccKoxJul8XwI8WcK5O4DTjDF7RSQMPCciTxhjXui72OXz2ObHuG31bbzb+i4H1B3AwmMXAvCz1Y9xPJ9k/qOXcempFxKKhDVnRSmIO8lsMBxhwnH789S9G5gy52BOOL+zd1Rqg5PL6M+nq7nKHlz9ODP4BF9+9J/43OyLCIbD6nlVMliJRGYCxoOOGgHAGV84miOO69S5cnS1O+Xo6hObV3FU4mTO/PlZXHHMPwE6YbNSmJSVzKyZ2lf97W9KmedqLHZS+4fO93qnrCDGGEPnws5h56+vQ0x6xWObH6Pp+SbiqTgA21q38fXnvo4g7GcdAsCeva00Pd/EpeYodVUrBbGSSUQCBIJBHt30OOn0MH68YTHfTr1esHHpXjb3sLk9GqdZB87i13/9dU5dtYzVo2y0dSjQqb+fNUdq50DJ4Ca0Ayz/69NADf/8/CISzR+Wpav5yvK9V3Pp6lHpmQDs2LOT7738fT7F/holUApiJRKZNVP7or9zD5vb77KXYlzdALwqIsud76dgL+RcFBEJYocQ/w74T2PMi70Rsq/ctvq2zAvAJWXsZRITwXYAIqlhxFNx3u/4gLHJ8f0uozJwcBusx998nJv/+AMu5Bt0BNvZ1rqNbzz3DUSEZNpuNPKVNT3fxMvvvsxjmx/r0jg9+OcHe9Znei7p6ZZ1hBz9tWz93Z7YwYHquVIcrGSSUDjMY5sf495XH2AOX6Ij2M67ZehqvjIgY0S5FNLV7HdtS3oHBqNhQaUgqWQih/62laW/Tc83AfS7gZU3od3FGPMT7FnaH3b+TnBDhiUcmzLGTAEOBI4TkYnd9xGR+SKySkRWbd++vSzhS+Xd1nfzbksE7YYtkqoBIE5CH3ilIHaoJcxtq2/DJOzkSVePLGNlHuzM/jnK4qk4D/3loR5Gf7m49UYd/e0gqd4AJUPK6fnftvo2SNrzhrhGTqm6mq+su2FVjI7sd61AKmA0SqAUxB0teNvq25CErb8dofLftbetvq1/BM6i0GjBY90/7DDgFudvrFNWMsaYXcAK4Kwc2+40xkwzxkzbb7/9yjltyRxQlz/+6vb8o9YwwM6j0YRgpRCpZIJgJMK7re8ScfQm4ehRf+M2lGHHuLJzrlR/FRt3tKCtq7aOJEJ9M+h7SyLjZbXlMEFRXVUKYiUTBMNhW39Tzrs2WP67tpCDpVoUCgv+oMC2omsLish+QNIYs0tEhgEfBW4sX8S+s/DYhV1yAwBCErLdh05vKpyqoSZYwyH7jtfelFIQN9RyQN0BBHc5DVaw/AYrIAHSJUx0ldHVrB5Zd/2NOPp78L6HakK7ksFKJhnWYOuq2zh1BNsqcu7hkeF0pDpyv1cL6uowaoI11NTUqXGlFCSVTDKsPubor/uuLd+4KuRgqRZ5PVfGmFML/JWyaPMYYLmI/Al4Gfi9MebRSgleDnMPm0vTiU2MqRuDIIypG8O/n/TvXD/zehqiDSQCcfaRETSd2MTYfcbpA68UxA21LDx2IXXGXv7GfeBDEiIcCHfZP1dZTbCGC464gJpgTY/yCxsvzKmrucpiNTGSgQ72kZG2jg8fq2FBJUMqmSQUCrPw2IXUpusxpEkGbeO7VF3Np7/Xzrg273s1V1nAmcdxdOgAmk5soq4mpuu4KgVJJZOEnHftsF7qb02wJpPo3p8UTWh3plG4HJjlFK0A/sudmiEfxpg/AVP7KmClmHvY3JwJbaFAiLXPtzJ7/9OYe9gMHg9vUONKKYjlJLTPPWwuLYcE2bHRDrWMqRtT9giWqaOnljyyJVd5UIL86fl2Ttv/o8w97DgeDb+u+qtkcEPY5xw2l60jUrRsjYOYsnU1V5mrj7n0MlfZX7e9Catg0cR/ZtJhB3F3+BHtCCgFsSqkv34dLfhj7GkU7nC+X+KUfalaQvUnsUiMjtAO2tvcuYvC2ptSCpJywoIAR9QdyUo2849TPs0Vx12W2afUBief0V8qsUiMRHBnRn9D4Yjqr5LBytLVkYH92BF8hx/N/hEfPeSjmX3K0dW+UF9fSxxobbXDgyHND1SKkHIGD0Hf9be/KcW4mm6MmZz1/Q8isrZaAvU3DZEGEsF2Eu32yJdgOKIPvFKQ7IkZ97a2Y0gzvK7eE1likRiJUDsd7bbO6iS4SjaprHmC2tuSJEJxYpGYJ7I0DIuxV5K0tjoh9HBE8wOVgljJznnavNbfcik6FQOQEpHM1NMichjQczKTAYrd849njKtQWJe/UQrjhlrANq4SwTgNUW8eeFd/k+32IxkMqXGldGIlk4QcXU20WySC7Z41TrFwjEQonvFcaZRAKUbKmYoBbP3tCLYNGOOqFM/VV7ET0zcDAhwCfL6qUvUj9eF6EqF2rA578nhdPkQpRippr3cF0N4aJxGME4uM8EQW27hqx4rbow6DEQ0LKjbGmC66moynHF31siOwi3h7ZwpGor0yIxeVwYmV7IwSJOOpAeW5KmpcGWOeEpEJQCO2cbXRGNNRdcn6Cbfnn3ae8VA4QjqVIp1OEQgEvRVO8SXZeSxxj13VdlgwTspZaMrNYzHGICKFD1YGNelUCmPSGV1NxQ2JSDsNkQZP5HHftfE2N4QdoW3Pbk9kUfxPOpXCpLvrb9wz/S2XvMaViPxDnk2HiwjGmF9VSaZ+JRKMkA4nMQk7QurGd1PJJIGoGldKT9yJGQE6nFCLVw98NBglFUpkZop3vRSprHCQMjRxPfBuCDudgMSwOHXhOk/kyYSw405+ayisCzcrebG662+HkBjWTn3Ym/zWcinkuTq32+dHsr4bYFAYVwASMUgqQCrVaSVbySThaE2RI5WhSCorydKKpz0NtQAQMYgVJJ1KZwwqezV5Na6GMm7uaCgcxhiD6QiQjliEAqVkg1Qed/CFFTcZuXSpMSUf7mTewZCjv4kARFIEB0hEKe9TZozJ5FWJyKvZ3wcbAceGSrRbmeQ5TQpW8pE9WtByQi1eGldBZ3LGRDyV0V8rkSBa642HQvEHmcYpHMFKphETIBA1nsnjeq5SzgTbdn6gvmeV3LiGdygSxkqkESOIh/pbLqWMFgTbUzVoCUft25Botzp7/poUrOQhZXV6rtIJe+kbr0ItAOGaTv0Nhu3+knYOlEzjFA53TjUT9S4PLxqMkgonMB2dIWwNCyr5SCVc/Y34Qn/LpVTjalATHuasFt+e6gz36OLNSg4yI7DCEYwx0GG7qgPi3aPk6m9Hu9XpUVPjasiTyvJcdbTZjVN4mMev/EgaSQZJpw2hSARLw4JKHjI5V+EIHe0+0d8yKJTQ/gidHqvDROQ32duNMR+vpmD9SbTWNqg62q3OhHZ96JUcpLLyWDpDLd7KFBlmP8aJLONKPa9KJucq0um5cnXFK9wQdrIjZedcJXRkq5KblA/1txwKSXpL1ucfVFsQLxk2rHOSslBWzoqidMftTYUiWa5qj8c9DKvt1N+M51WNqyFPds/f1VX3XecVoewQdiiMMWnSqRTB0MBpNJX+ITuh3dXfmtqBM0inUEL70/0piJfU1tmtY0dbkvrh7lB2bZyUnri9qewGK1zj7eiV2jrbHZBot6ip65yKQRnadOashGlvdYyrOm/drO6zkmi3MkPsU1ZSjSulB505gxHanbB2ba3HYYIyGDgBzCpSXzcMgNa2eFbPXxsnpSedxlUokwfgtau6vq4WgNbWDs25UjK4jVMwHM6sPVlX562bNTqsMwUjM+2NRgmUHHTOcxXOTDxb57TVAwE1roBYvT3Sa29rm07FoBQkExbM8lx57aqO1WXrr3peFZtsXW3Zay9B4RriXjHMyW/NDmHru1bJRfZowZa9rQDE6r3V33IoalyJyAWllA1khg9rIBlI0Noaz+r5a+Ok9MTtZYeyRmAN89i4aqiNYUmSva1tnUtFaIM15MkeLbi3tZ00aWJ13s5uPSwrhB3SjqxSgOycwVaf6G85lOK5urbEsgFLLBIjGYzT3tqhvSmlIJmwYCRMvM1++OvqvXVVZ/S3LZHJY9GwoJI9WrCttZ1kMM7wGm/XZesMYcc7J7zVjqySg07Pa5i21jjJYJyG6MBYtBkKT8VwNnAOME5Ebs/a1ABY1RasP7FnDm4m3p7Qnr9SkExvKhTOhFoa6rydCd1eVmQr8bZEZm1BzWNRssOC7W0JEqF2GiL7eypTrK6WHcDevW3EYvquVfKTSjqjscNh3+hvORTKxN0KrAI+DrySVd4CXF1Nofqb+kg9iWC8ywgW7U0pueic58p2VRvSxOq9dVXHIjE6gu1dVxjQedqGPJ2DL8J0tCXp8HoNTCBWG+N9SbG3rb3LOq6K0p1U1rQ3He3+0N9yKDQVw1pgrYgsNcYMau1viDSQCMVJtqcJac9fKUBnqCVCa9tuEsE4DV43WM6abYn2VKfnVfV3yNN12pAUiaC3a2ACNERjJII7aW+NEwoPB3TwhZKb7LUx/aK/5VBKztVxIvJ7EdkkIptF5E0R2Vx1yfoRt+ef6jA6Q7tSkFQmydJxVfugN2WHBbvqr3oDlM4QdggrniYR8oeu2vmBSZ3wVimI+w7r1N+BZVyVMkHPXdhhwFeAVHXF8YZoMEoqlCC9FwLBIIFgUPMAlJx0Hy3Y4YMHviZYgxXqIN0KgWAIRLRzoGAlEoTCEUSEdAcko3Hqw96GsBsiDZ0pGJrfqhQglUwQDIcREVIdkPCB/pZDKcbVbmPME1WXxGsiaUjYswcHQ2ENCyo5yc5jScYtEsF2hkeHeyqTiEAkjdkZQEQIhSOqv4q9wHjENmBMIoCptzxdYByc/NZQO8l4KpMfqF5WJRepZDIzXYdJCCaW8lx/y6EU42q5iNwM/ArocAuNMaurJpUHSNQglr1aezAS0Z6/khMry7iy4sYXoRZw9DcZxKSNvSCuNlhDnlQy6azfZyARgGjaa5GcFIw4VjydGdmq+YFKLizHc2WMQRJBAlHjtUhlUYpxNcP5Py2rzACnVV4c7wjV2KuyJ5xlGayENk5KT7JHsKTidqilNuT9rMHBqCAIiY6UbfhpHsuQx0omCEUiWIk0YgIEfbAsWyaE3S46slUpSCqZJBSJkOxIISZAwAf6Ww5FjStjzKn9IYjXdFlQNBzWESxKTrLnDnJd1SLisVQQjtruclt/I+q5UrCSyS4LjIeGebvAOGSFsHdLZ0K7dmSVHFiJRGakIECoZuCEBKG05W/2F5G7ROQJ5/vRIvLF6ovWv4SdF08ibi/LoI2TkotUMokEAvZfIohE/OGqzuiv63lV/R3ypJL2pMiZBcZrvDeuACSaRpJBAiG7b69eViUXVjJJKBTKdA78or+lUoopeA/wO2Cs830TsKhK8nhGzbCuC4rqA6/kwvYGhDtDLTVeS2TjLh7doZ5XxcEdLeg2TtFhpWSBVJ9gVBATwKTs5kc7skouUlaSYCRCIu4v/S2VUoyrUcaYnwNpAGOMxSCckmFYnds4pezRVvrAKzmwvQFZoRafuKrdxaPdBXG1wVJSlt0RcD1XNbX+SFoJOSHsZIchGAppR0DJScrpHGT012mjBwqltAytIjISO4kdETke2F1VqTygLrOgaLvT89fGSemJlUj6MtRSV2e70Npa4wQj6nlVIJWwjav2VnuQt6sjXhMZlp3fqh1ZJTfuaMFO/R3msUTlUYpx9c/Ab4DDReSPwH3AVcUOEpGDRGS5iGwQkddFZGEfZa0qsVr7h2vZ2+oMZdfGSelJKpmwXdVuqKU27LFENvX1dudgz95WgqEwKU0SHvK4owX3ttoLjNf7pHGqcZ6ZRNzSjqySF8sZLdiy19bfWL33o7LLoZTRgqtF5BSgERDgzyWuNWgB/+IcHwNeEZHfG2PW903k6hCL1fMhsLe1TXtTSl6sZIJgKJwxrtxwnNfE6uvYhe15DUUitO0ZdM5lpUzc0YKZxilW57FENm54ssMJYauXVclFKmG/a/dmjCt/6G+pFDWuROQfuhUdISK7gdeMMe/nO84Ysw3Y5nxuEZENwDjAl8bV8NoYKWmnrbVDE4KVvLizBre1+ctVPbw2xluSoLU1bk/FoBMzDnnc0YKtre2kSdNQ5/1kt2CHJy3sEHYoop4rJTcpy07B2NvWTpoUDbUDZ+kbKG0S0S8CJwDLne+zgRewjazvGmPuL3YCETkUmAq82Dsxq08sEiMR/JD2tgj7qOdKyYPlLCmyZ28r4J9QS0O0gWTwbdrbIjSEQqq/ij1DezhMS2uHs0zTGK9FAuxnZhd2CkYwpMaVkhv7XRtx9DdOg0/0t1RKyblKA0cZYz5hjPkEcDT2MjgzgH8rdrCI1AMPAYuMMXtybJ8vIqtEZNX27dvLk76C2MZVnI62pPamlLy4owX3+izUUh+uJxFsJ96e1OWbFMDJuQpHiLcnfLNME3SGd1r2uikY6mVVeuKOFoy3+Ut/S6UUz9Whxpj3sr6/DxxhjPlQRAq+wUUkjG1YPWCM+VWufYwxdwJ3AkybNs2zGRljkRiJUJxEPEVwuC7cXIgNzy7n2Z/dR8uOD4iNHMXJF30WoKJlR518qi/r2fbXTaQti22b/4aRExheN7E/bnlR3M5Bot0iVK9hQaVztGCiPUUi2E5DpMFrkQAYXh+jmSRtbW5YUHVV6Yk7p6Df9LdUxJjC9oyI3AEcDPzCKfok8Dbwr8Cj+ZbHEXtNkHuBD40xi0oRZtq0aWbVqlWlSV5h2q12rr/uXg5IxpGdz5NobyM2ar8B1/hXu+7Dpk7n9aefwkpk1vBGgkFEhLRlVaQsFInykVNO9309EOKoS87jnI99Hq9pS7bxva/fz/5WO/LhH0m0t6v+DoG689VjgCcW/wAACdfTEjuCf7nta9RHvM9bWf3ealZ8dyv7jtnC7o1PkkomC+pqrjKv72+l6xmqdZesvw0T+Jdb/80X+tsdEXnFGDOtR3kJxpUA/wCchD1a8DljzC9LqPAk4FngNZwJSIHrjDGP5zvGS+PKGMO3FlzLPts3gvGo8UdIp7LriXDE8Sex6YXnunjSJBBEBNKpVC/KAnbdRcqC4TDjp07jzVdXeRIiFRGK6aYf6hk2Yl++8uOiaYdVxxjDt666ln0+8FB/PapnqNZdTj1pCXDOFYv4yMmn4TV/2fkXfvW1XxHauxLSg+P+at1DR3+702vjKseJTgIuNsZcUSnhXLw0rgBu/MwnCFkdxXdUlCz+5cFHvRYBUP1VChMbtR/z//MnXovBu63vcv+XFxBItfX+JCLQD50vxT/4RX+7k8+4KmmxHhGZAlwMXAi8CeTMnxroBLVh8g3957kKYEy6+I55qB85qoLS9A3VX6UQLTs+8FoEABoiDUhfDCtQw2oI4hf9LZW8owVF5AgR+ZYzP9Vi7DwrMcacaoz5f/0mYT+SjpS+9pYE+mdNuf6qpy91S7BzhftKlIUiUSZ99GxC3X6P6tRzVq/rSUuAky++FL+g+jv06i6nnphPOgLDQsNIh/q2FI8f76/WXd16/KK/pVLoyjYCpwPnGmNOcgyqQbdgczbt4w+juzMvb6N8eu8b5bIa/36op5y6Q5Eok884h9io/UCE2Kj9OPvyRZx12cKKlc2ZfyUf/dJXmDP/St/WQ7CePfsfydEn5xzP4Qltqr9Dqu5y6jGBQCap2GtEhJZRh4MMnvurdVe3Hj/pb6kUCgt+ArgIWC4ivwV+Bki/SOUR6UPGEdpyKDU1L7N3546ioxzGNR7VL6Mp+qOecuo+Ko9Bkau8r2XVOGcl6rl9wW+Jj369x3YvMQep/g61uovW88EHEKin/eiD8j63XtCx3/4E2sZSF1kzsO+v1l3denyqv6VQymjBOmAeds7VadjTKzxsjHmy0sJ4ndD+H0sX0/DM0Vz0zeMYOc5/Qz4Vf2CM4T+/8hRbDl/Ljf/6L16Lk+F7P13MPs8dzcXfmsGIsf6Y3FTxlg+3tvK/332RXSe/ztc/c5XX4mT4t5t/wEGbJ3PFHadjD0hXlJ7s2LqXn333Jd/pbzb5EtqLBjyNMa3GmAeMMR8DDgTWANdUXkTvqXEW4XUX5VWUXFiJNGIChGr81SjU1IYBSMRVfxUbVxdqfLLAuEsoKogJkEr2fjCJMvhJtNuZSH7T31IoK2vNGPOhMea/jDH+m2yiAgxzVmtvbY17LIniZ1zjO1zjXcJpLmrrbP1tU/1VHFxdqK0tfbBDfxBynp0O7cgqBWhr86f+loK/WgePqa+3F+Hds3evx5IofsZtEKLDwh5L0pU6ZxHpPS2tHkui+AVXF+p8ssC4S3SYne6rUQKlEHta7LbYbZsHEmpcZVFf17mgqKLkw20Q/Oaq7lwQV40rxcbVBVc3/EI0k4IxqAegK33E1d96n+lvKahxlcU+MTuJvbWt3WNJFD/jho2H+cxV3eC8gPaq/ioOe1ttXWiI+atxcsM87e068a2SH1d/96kfeAPM1LjKoqEuRpqU5qwoBXFd1XX1fZsIsdI01NVjSKv+KhlaW+OkSTG8Lua1KF2oq7OfHfdZUpRctDn62+Az/S0FNa6yiEViJEJx4m2J4jsrQxa/hloaog0kgqq/Sifxtg4SoTjDo8O9FqUL9fW1gIawlcLE2xIkQnEaog1ei1I2alxlEYvESATjOoJFKYjrqh7uM1d1Q6RB9VfpQke7RSLYTizir55/g5vf2qr5rUp+/Kq/paDGVRZ249ROUpMslQLYruo0w+v99cC7nlcdgaW4JNtTJIJxGiL+6vkPj9nPjoawlUIkfKq/paDGVRbDQsNIhjqwOnTFdSU/7W0JEsF234VaasO1JIJx1V8lg9VhSITiDAv5ayh7Q00DiUCcdg1hKwVIxf2pv6VQaG3BIYeIkA4nSWlnSilAR3uSRCjuO1d1QAKkw0nSqr+KQyoO6bDluyVmGiINJEJxOtr8JZfiL1Id/tTfUlDPVTdMJAWJgfdDKv2HHWrxZx6AiaQwqr+KS0Ig4r80Bzu/tZ1E3H+yKT4iEfCl/paCGlfdkIhBEurQU/JjdRiSoQ5qgv6aigFs/SUR9FoMxS8kQkjUf2Hi2nAtiVAcK65rCyr5kUTQl/pbCmpcdSNYAwErhDED8wdVqk/ax67qQI0hkFT9VcAYQzAZIuivuW4BJ4QdSpLWOUSVPBhjv8v8qL+loMZVN0LRAGICWAntUSm5MR3+dVWHogECJkgqqfo71El2pBAChIb58zVvImnSHf7roCj+wO/6W4yBKXUViQyzQyo6nF3JhySDdvjNh0RqbP3Vua4U9x0WrfFnmoNE0oiGsJU8+F1/i6HGVTeiw8KANk5KbuxQSxgfplsBEK21X0TaOVDcd1i0NuyxJLkJRCGQHJgNp1J9/K6/xVDjqhvuYrxtbTqeXemJlUgjJkCoxp+Pjqu/7W2azDLUafPpAuMuoRohkA6RsjSErfTE7/pbDH+2EB5SW2f/kLv36IKiSk9cj1BkmD973LW17oK4umbbUGdXSwvQuUiy3wjXaAqGkp9de1z9VeNqUFBf5y4oqsaV0pOONrshqPGpq7qu3p7JeI/q75CnxTGw6+v9Obt11OmgJOJqXCk9cd9h9fV1HkvSO9S46kZDTBcUVfKz19GLWp+6qhucF1HLXtXfoY77Dmvw2QLjLjW1EQDaW3UJHKUne/e6+qvG1aCgwVmMt1UXFFVysLvF7k254Te/4Takra3tHkuieI2bs+Iukuw3MikY6mVVcuC2wfvEBt6izaDGVQ+G19VjSGtCsJKTTld1rceS5GYfpyFtU/0d8rS1dZAmxfBafxpXdXVOCLtFjSulJ+1tCVKSYnidP/W3GGpcdWN4zXASwTjxtqTXoig+xO+u6oaaBkd/NdQy1Im3JegItTO8ZrjXouQklglh6+ALpSfx9gSJYDsNUfVcDQrsBUU7dASLkpNWn4dabP2N6zxtCon2FIlg3JcLjAMM1xC2UgC/628x1LjqRm24lmSonaSu1q7koN0JtexT78/eVH24nkSwHUv1d8hjxdMkQ3FfLjAOsE+D/QxpCFvJhd/1txhVM65E5G4ReV9E1lWrjmoQkABWKEkq7s/lTRRvibcnSQTjvnVVByRAKpzEUv0d8qTihnQ46csFxgEaamIkAwkNYSs5ScUNKR/rbzGq6bm6BziriuevGiZikU4MzB9UqS6JdotEyN+u6nTY0gVxFUxCMD5dYBzcEHa7hrCVnJgOAR/rbzGqZlwZY54BPqzW+atKJA0dGjFVeuK6qqNBf85zBdgvpITq75AnEbTfZT7FDmHHNQVDyU3S3/pbDDGmeuEDETkUeNQYM7GU/adNm2ZWrVpVNXlKYdOL7/Lb+9YSSIWIjajhhPMOB2Dlr99g74cd1I+IcsJ5h3PEjAPY9OK7Pcpz7duXsv6qZ6jWXW49T967DtKS0Y0jZhxQAa2rHKq/Q6vuQvU8+ZPXAfytq/f8iYAJFtTVXGV+uL9a99DWXxcRecUYM61HudfGlYjMB+YDHHzwwX//t7/9rWryFGPTi++y/IGNWIlOa1kCICKkU533KRgOMGHaaP6y6n1SycL79qWsv+oZqnX3tZ5QJMCpnznSNw99Ofp7xPTRbHq5+ve3P+oZqnWXU8+A0NUgCN2uO0dZKBLgyOMPYOML7/bqeL/VM1TrLqcev+lvNr41rrLx2nN173V/ZO+HOnJFKZ36EVEu/f5Mr8UAVH+VwqiuKgMZP+lvNvmMK03MyGLvh6UveWPon9FY/VXPUK27r/WUozPVRvV36NVdTj0DVVdz4cf7q3VXtx4/6W8pVHMqhv8FVgKNIvK2iHyxWnVViraaPSXva+ifRLv+qmeo1t3XesrRmWqj+jv06i6nnoGqq7nw4/3Vuqtbj5/0txSqOVrwYmPMGGNM2BhzoDHmrmrVVSmeP/DXJANd51yxsEhJ16HCyUCC10f/saR9+1LWX/UM1br7Wk8ykOD5A3+NX1D9HVp1l1PPQNXVgXJ/te7q1uM3/S2FkNcC+InWQ7fyND9jRvPHqE/sy97ITl48+FGAHmWbR7/Kew1vlbRvX8r6q56hWndf62k9dGsFNK8yqP4OvbrLqWeg6mquMj/eX6176OhvKVQ1ob1cvE5of2zzYzQ930Q81RnbDUkIESGZ7lzIuSZYw3l/dx6//uuvi+7bl7L+qmeo1t3XemqCNTSd2MTcw+biB1R/h1bd5dQzUHV1oNxfrXto6W82+RLa1XOVhfvD3bb6Nt5tfZcD6g5g4bELc5bNPWwuU0dPLWnfvpT1Vz1Dte6+1uOnh131d+jVXU49A1VXc5X58f5q3UNHf0tBPVeKoiiKoii9QKdiUBRFURRF6QfUuFIURVEURakgalwpiqIoiqJUEDWuFEVRFEVRKogaV4qiKIqiKBVEjStFURRFUZQKosaVoiiKoihKBVHjSlEURVEUpYKocaUoiqIoilJB1LhSFEVRFEWpIGpcKYqiKIqiVBA1rhRFURRFUSqIGleKoiiKoigVRI0rRVEURVGUCqLGlaIoiqIoSgVR40pRFEVRFKWCqHGlKIqiKIpSQdS4UhRFURRFqSBqXCmKoiiKolQQNa4URVEURVEqiBpXiqIoiqIoFUSNK0VRFEVRlAqixpWiKIqiKEoFUeNKURRFURSlgqhxpSiKoiiKUkHUuFIURVEURakgIa8FUPzB7kce4f0f3Yq1bRuhMWMYffUihp97bs5yoOpl/VW3H69x+LnnVu6HVRRFUfodMcZU7+QiZwG3AUHgf4wxNxTaf9q0aWbVqlVVkeXVpqup/c0TpNsgUAttHz8boNdlU5t+VPFzelVPfNJkwq+sR5JW5n6ZcIh9P/lJdv7yl13LAwIiSCpdvbL+qtuP1xgOkfz7o6n509oBr1f9Wc9QrXsoXKPe38Fbd3/WUy1E5BVjzLQe5dUyrkQkCGwCzgDeBl4GLjbGrM93TLWMq1ebrmbYL57ApCRLwDSIQLr8Mgka2o/cn2Eb3+vlOZ17bgqXScAQP2wkNZt3YLKPx4B0O76vZWR/7xRFqmd7FyS3RAO3nvLq7ralD7paHf31Vz1DtW4JGton7Mewv2zvVk9p75e+lA2Z+zvIr3Eo3F8JGtovqJ6B5YVxdQLQZIw50/l+LYAx5j/yHVMt4+rPxx5Juq3STaiXzbKi9JWhbb4qlWAo/LZD4Rq9rLt/6gnUGhpXb6zKufMZV9VMaB8HbMn6/rZT1u+k27yotVJ45DoaKnV75Zrzum6lyvTXb6s6pCjF8MIGqKZxlcsc7fEmEJH5IrJKRFZt3769KoIEaqtw0v7qUPRbx6XrTyPBNA2HtyLBdNfdJI0ETFXL+qtuCaZpOMzDa8xVd78Zlf1TjaeOo6FQ91C4Ri/rHgrX6GXd/VRPVWyAYnVW8dxvAwdlfT8Q2Np9J2PMncaYacaYafvtt19VBGn7+NlIsGeDR45GsJQyCRriR+9f0XN6W0+a2OHthGotwBCqtRg5fS/NZ57OyOl7u5TvN6OF/Y7bU9Wy/qrbj9cYO7x9EOlV/9QzVOseCteo93fw1t2f9biJ7v1JNadieBmYICLjgXeAi4BPV7G+vExt+hGv0n0EwTnQ67J8oxz6ck4v6zmHlmOP5KDVNzPavMv7Moq3jv0WJ3z8n3j5N//FQYd2lr957LcBqlrWX3X78Rq3HHsdodUbB4le9Z/+Ds26h8I16v0dvHX3bz39TbWnYjgHuBV7Koa7jTHfK7R/NadiUBRFURRFqST5EtqrOomoMeZx4PFq1qEoiqIoiuIndPkbRVEURVGUCqLGlaIoiqIoSgVR40pRFEVRFKWCqHGlKIqiKIpSQdS4UhRFURRFqSBqXCmKoiiKolQQNa4URVEURVEqSFUnES0XEdkO/K2CpxwFfFDB8yk2el+rg97X6qH3tjrofa0Oel+rQzXu6yHGmB5r9/nKuKo0IrIq18ypSt/Q+1od9L5WD7231UHva3XQ+1od+vO+alhQURRFURSlgqhxpSiKoiiKUkEGu3F1p9cCDFL0vlYHva/VQ+9tddD7Wh30vlaHfruvgzrnSlEURVEUpb8Z7J4rRVEURVGUfmVQGlcicpaI/FlE/ioi13gtz0BGRN4SkddEZI2IrHLKRojI70XkL87/fb2WcyAgIneLyPsisi6rLO+9FJFrHR3+s4ic6Y3U/ifPfW0SkXccvV0jIudkbdP7WgIicpCILBeRDSLyuogsdMpVZ/tAgfuqOttHRKRGRF4SkbXOvf2OU97vOjvowoIiEgQ2AWcAbwMvAxcbY9Z7KtgARUTeAqYZYz7IKrsJ+NAYc4NjvO5rjPk3r2QcKIjILGAvcJ8xZqJTlvNeisjRwP8CxwFjgWXAEcaYlEfi+5Y897UJ2GuMuaXbvnpfS0RExgBjjDGrRSQGvALMAz6H6myvKXBfP4XqbJ8QEQHqjDF7RSQMPAcsBP6BftbZwei5Og74qzFmszEmAfwMOM9jmQYb5wH3Op/vxX4xKEUwxjwDfNitON+9PA/4mTGmwxjzJvBXbN1WupHnvuZD72uJGGO2GWNWO59bgA3AOFRn+0SB+5oPva8lYmz2Ol/Dzp/BA50djMbVOGBL1ve3Kay4SmEM8KSIvCIi852y/Y0x28B+UQCjPZNu4JPvXqoe950rReRPTtjQDQPofe0FInIoMBV4EdXZitHtvoLqbJ8RkaCIrAHeB35vjPFEZwejcSU5ygZX7LN/mWmMORY4G7jCCcEo1Uf1uG/8GDgcmAJsA37glOt9LRMRqQceAhYZY/YU2jVHmd7bPOS4r6qzFcAYkzLGTAEOBI4TkYkFdq/avR2MxtXbwEFZ3w8Etnoky4DHGLPV+f8+8DC2y/Q9J2/AzR943zsJBzz57qXqcR8wxrznvGTTwH/T6erX+1oGTt7KQ8ADxphfOcWqs30k131Vna0sxphdwArgLDzQ2cFoXL0MTBCR8SISAS4CfuOxTAMSEalzEi4RkTpgDrAO+35e6ux2KfBrbyQcFOS7l78BLhKRqIiMByYAL3kg34DEfZE6nI+tt6D3tWSc5OC7gA3GmB9mbVKd7QP57qvqbN8Rkf1EZB/n8zDgo8BGPNDZUCVO4ieMMZaIXAn8DggCdxtjXvdYrIHK/sDD9ruAELDUGPNbEXkZ+LmIfBFoBi7wUMYBg4j8LzAbGCUibwPfBm4gx700xrwuIj8H1gMWcIWODspNnvs6W0SmYLv43wL+CfS+lslM4BLgNSeHBeA6VGf7Sr77erHqbJ8ZA9zrzBoQAH5ujHlURFbSzzo76KZiUBRFURRF8ZLBGBZUFEVRFEXxDDWuFEVRFEVRKogaV4qiKIqiKBVEjStFURRFUZQKosaVoiiKoihKBVHjSlEUXyAiI0VkjfP3roi843zeKyJ3VLHe2SJyYrXOryjK0GPQzXOlKMrAxBizA3vpD0SkCdhrjLmlH6qeDewFnu+HuhRFGQKo50pRFF/jeJYedT43ici9IvKkiLwlIv8gIjeJyGsi8ltnWRFE5O9F5GlnwfHfZS19sUBE1juL4/7MWTj3MuBqx0t2sjPL80Mi8rLzNzOr7vtF5A8i8hcR+bJHt0RRFJ+jnitFUQYahwOnAkcDK4FPGGO+JiIPA3NF5DHg/wHnGWO2i8iFwPeALwDXAOONMR0iso8xZpeILCHLSyYiS4EfGWOeE5GDsVd7OMqpexJwPFAHvCoij7nrbyqKoriocaUoykDjCWNMUkRew17i6rdO+WvAoUAjMBH4vbN0UxDY5uzzJ+ABEfk/4P/ynP+jwNHOsQAN7hqbwK+NMe1Au4gsx15cN995FEUZoqhxpSjKQKMDwBiTFpGk6VzDK439ThPgdWPMCTmOnQvMAj4OfFNEPpJjnwBwgmNEZXCMre7rhen6YYqi9EBzrhRFGWz8GdhPRE4AEJGwiHxERALAQcaY5cDXgH2AeqAFiGUd/yRwpfvFWUzX5TwRqRGRkdiJ8C9X8ToURRmgqHGlKMqgwhiTAD4J3Cgia4E1wInY4cGfOuHEV7HzqnYBjwDnuwntwAJgmpP0vh474d3lJeAx4AXges23UhQlF9LpUVcURVHy0c/TQyiKMoBRz5WiKIqiKEoFUc+VoiiKoihKBVHPlaIoiqIoSgVR40pRFEVRFKWCqHGlKIqiKIpSQdS4UhRFURRFqSBqXCmKoiiKolQQNa4URVEURVEqyP8HTp5fYrlNUjMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hydra_agent_value_plot(rdf,'Hydra Omnipool Value of Si, Ri, and H in H equivalent', len(rdf['timestep'])) #,2, 'i')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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czK41s/9X5fjWELQufIPgXB5CcL2UIWBbdmtoHWa2N0GtwxQz2xH4o7vX/CM0s98Dn6nR3CJ9MLM9gWcIOrYOdH6nlhPWyKxy9y9HXZbhIKxtfAKY6u75QdjePcA8d1+2zYWTHuF375+BdK8kSgaJmZ1FMPCi3to9aVHbRU1YmBj8udycYoHKNu7JBNMRLIqoiC0r7AfxzwSjBIdNAiZDz4M5xN4+GAlYuL1ZSsCkFZjZeDObETatTiaoYb816nJJ87VkEmZmPyVIqCab2Soz+yRBM9EnzewJgg6FJ1V85KMESURrVvtFJOyguZ5g3pp/jbg4IiLbqwxBN5oNBP2Wf0mvfs2yfWrZ5kgRERGRVtaSNWEiIiIirU5JmIiIiEgE6p1RNzbGjh3re++9d9TFEBEREenXY4899ld337Xaey2XhO29994sXrw46mKIiIiI9MvMaj7qS82RIiIiIhFQEiYiIiISASVhIiIiIhFouT5hIhIf+XyeVatW0dXVFXVRpEJbWxu777476XQ66qKISB+UhInIgK1atYpRo0ax9957Y2ZRF0cAd+e1115j1apV7LPPPlEXR0T6oOZIERmwrq4uxowZowQsRsyMMWPGqHZSpAUoCRORbaIELH70OxFpDUrCelk3fz7PHXkUy96+H88deRTr5s+vukwkSrViUvErcdNITCpWZbhp2gO8zawNeBDIEvQ9+7m7/2uvdQz4LnACsAn4uLs/3td2p0+f7s2arHXd/Pms/sqFeGU1fiqFmeH5/OZyt7Ux/qKvsdOJJzalHCJ9qRan1tbGTifPYd2ttw1p/C5btoy3v/3t27yduFq7di033ngjn/70p2uus3DhQi677DLuuOOOISxZ/+Lwu2nkO7Va/Oq7VrYHZvaYu0+v9l4za8K6gSPd/QBgGnCcmR3aa53jgUnhv7nA95pYnn69+p3Lt/yyACgUtviyAPCuLl79zuVDVzCRCtXi1Lu6WHvTzbGP39t+/yIzLv4N+5x/JzMu/g23/f7FSMpRr7Vr13LVVVdFXYyW1ch3arX41XetbO+aNjrSgyq2jeHLdPivd7XbScCPw3UfNrOdzWy8u69uVrn6kl/9EvX2pMivfqmpZZHty7r583n1O5dTWL2a1PjxjDvvXIABLcu/VCNOG6jVjiJ+b/v9i3zxF0/SmS8C8OLaTr74iycBmHPgxAFvd86cOaxcuZKuri7mzZvH3Llzueaaa7jkkkuYMGECkyZNIpvNcuWVV7JmzRrOPPNMVqxYAcDll1/OjBkz6OjoYMWKFSxfvpwVK1Zw7rnncs4553D++efz/PPPM23aNI455hguvfTSqmXYuHEjp5xyCkuXLuVd73oXP/nJT1qyX1a1ON3pxBMHHL81Y7WaGvGr71qp17bGbxQ1rk1rjgQwsyTwGPA3wH+6+xd6vX8HcLG7PxS+vh/4grvXbG9sZnPk/x0yhdHrinWt+/pOSWY8srQp5ZDty7r581n15S+R6N58919KJsCMRKHY8DKHqhe2okGyzj/nwYrfyiavr85/iqdfWl9z3d+vWEuuWNpqeSaZ4MA9d676mf0m7Mi/nviOPsvw+uuvM3r0aDo7OznooIP49a9/zYwZM3j88ccZNWoURx55JAcccABXXnklH/vYx/j0pz/NYYcdxooVKzj22GNZtmwZHR0d3HPPPSxYsIANGzYwefJkXn75ZV588UXe//73s3Rp7XO1cOFCTjrpJJ566ikmTJjAjBkzuPTSSznssMP6LHezNdocWTVOs2lGf/BDvP6LWwYUv7VitZpa8avvWqlHnLpp9BZVcyTuXnT3acDuwMFmNqV32ap9rPcCM5trZovNbPGaNWuaUNLAT45wunrVDeYM8sktl3WlgnVF6vGXS/9tiwsYQKJY2uJi1cgyY+s/kq4U3HMgsY7faglYX8vrdcUVV3DAAQdw6KGHsnLlSq6//nqOOOIIRo8eTTqd5tRTT+1Z97777uPss89m2rRpfOADH2D9+vVs2LABgNmzZ5PNZhk7dizjxo3jlVdeqbsMBx98MLvvvjuJRIJp06bxwgsvbNMxRaFqnHbneeOnNw04fqvFaq2YvOdA6E5tvVzftVKPVu2mMSSTtbr7WjNbCBwHVN7SrAL2qHi9O7BV3bO7/wD4AQQ1Yc0q5/MHT+T7rOJjC50x6+G1HeHGmUGe+Nn5jjn8NVy2/OCBN5/I8JJ6de2gb9MJYrEyThdNSfPs7vnq8Xu7YzQ3fvursZpx8W94cW3nVssn7tzOzf/07gHtc+HChdx3330sWrSIESNGMHPmTCZPnsyyZcuqrl8qlVi0aBHt7e1bvZfNZnt+TiaTFAqFusuxLZ+Ni2bEKVSPVWCrOF00Jc1LY/J88l7v+Yy+a6VetboTuXusuxk1LQkzs12BfJiAtQNHA5f0Wu124Gwzuwk4BFgXVX8wgHnvnEdHVwf/947NWXPKgmrLNxZ08sQ+xtWzk7Ql2+h457yoiikt5q87wq61W+kG5LUd4TOf2fzn25Zs49S/OYlfJn5ZNX7X/qaT37/V+P4J0cXv546dvEWfMID2dJLPHTt5wNtct24du+yyCyNGjOCZZ57h4Ycf5lOf+hQPPPAAb7zxBqNGjeKWW25h//33B2DWrFlceeWVfO5znwNgyZIlTJs2reb2R40a1VNTtr2rFaelBpq5q+kdq+WY/L93bK6JKMfv/Z238sl7N3HtMQl+PT2h71qp2xs7Jqt2J2okft/YMdn/SoOsmc2R44EFZvYH4FHgXne/w8zONLMzw3XuApYDfwL+C6g9DnwIzN53Nh3v6WD8DuMxjPE7jOfrh32di2ZcRD4F6SKM32E8He/pYPa+s6MsqrSQu2eNJldHM2G9y7pScNvRO2wRpx3v6eDLh365z/hNRRy/cw6cyL9/cH8m7tyOEdSA/fsH99+mTvnHHXcchUKBqVOn8pWvfIVDDz2UiRMncsEFF3DIIYdw9NFHs99++7HTTjsBQdPl4sWLmTp1Kvvttx9XX311n9sfM2YMM2bMYMqUKT2J2/bq7lmjt2rO7krBvQdaXc3c9cZqOSarxe9ZB58D6LtWGletO1ErdNNoasf8Zmhmx/y+/ObwqeT22JXjbrh/yPctre3O5Xey+Jvn8+GFhZ5mlptnBrUBH16Q72mSqXfZz4/McuzcbzR0cVrw3v3p3ustHPeT+wb12OIwF1U1GzduZOTIkRQKBU4++WQ+8YlPcPLJJ0ddrCHV6O/mzuV38usffIn/79fd7NgJr42Enx2dZdycU3j1tp9zym+6mx6r6958nZfeNYMXP3YER1/Yd4IsUmnWz2ex7+9W8Q/3ek/8/uTIoJn73Uurd9PovWz5wbtzzyn3DHrZ+uqYrwd416mYTmC51uvnIdGbve9sNhy9GBbexL+dluDV/ScyL2xi+fpB3+XlN19mtx12a2hZo7UDxdTwit+Ojg7uu+8+urq6mDVrFnPmzIm6SLE3e9/ZMBd+Wejg9Ds28q0zx/GPR36e2fvO5s5xB/L16c2P1UymnRJQ6u5uxiHKdqzcnagtt4l/+lWJCz6epHPn9j67afRuEo+i6VtJWJ2KqQSJ/PC5iMngmjLqbwH4zEHn8u73f6pnebULVL3LGlFMJ7FhFL+XXXbZoG/zySef5PTTT99iWTab5ZFHHhn0fUVl9r6zGTF+AXAnVx7/AyZOnNyzfChiNZvKkk+B53ID3oYMT+W4e2TxhcAmdhq1K194z/9j9r6zOXDcgXz38a1vGHovi6LpW0lYnUrpFKlhVJMggyvf3UkSSLWPiGT/pXSS9DBKwpph//33Z8mSJVEXo+lK3UGNQbZ9hyHfd8ISQRLWrSRMGjd739m0jbsbuJ/rPnADY3aZ0LO8GTe3g0EP8K5TKZ0kka9vIleR3gpdmwBIt0WXhCl+pR6lsBYq2zYykv0XUqaaMBmwclN2pm3obyIGQklYnTyd3GoiQpF6FbqC+bHSEdQugJIwqZ93d1NIQFs2mlgtpAzrNZGmSL28OxfEbyaaG95GKQmrUymTIpnftpm9ZfgqlpOw7NaThA4Fz6RIKH6lDqXu7mBKk0Q0vVUK6QTklITJwJRy0cZvo5SE1SudJqWLmAxQMexnk2mPponH02lSqgmTeuTy5FNE9gDyUiqBKQmTgYo4fhulJKxOnkmTLCgJk4Hp6acQVRKWSZEsxGBOwD/8DL4zBTp2Dv7/w8+iLlGf1q5dy1VXXTUo23rPe94zKNspu/zyy9m0adOgbhOAXI5CMroLWCGVwHTDIAOVy1FItU5q0zoljVomTSoOFzFpSeWasLb2UdEUIJMhFfVNxB9+BvPPgXUrAQ/+n39OrBOxRpOwYrF28vDb3/52MIrUo3lJWD5oEoxIKZ0cVnPaySDL5SikWqMWDDRFRd1MSZhsAw9rwrIR1YRZegji9+7z4eUna7+/6lEo9pqEM98JvzwbHvtR9c/stj8cf3Gfu50zZw4rV66kq6uLefPmMXfuXK655houueQSJkyYwKRJk8hms1x55ZWsWbOGM888kxUrVgBBIjNjxgw6OjpYsWIFy5cvZ8WKFZx77rmcc845nH/++Tz//PNMmzaNY445hksvvXSr/S9cuJCvfvWrjB8/niVLlvD0009XLefIkSPZuHFj1ffcnc9//vPcfffdmBlf/vKXOe2001i4cCGXXXYZd9xxBwBnn30206dPZ/369bz00ku8733vY+zYsSxYsKDPc9SQfJ5ihDUJpXSSRJeSMBkYyxUijd9GKQmrk2UypIvhE9lbpK1Z4qMUjjjLpLPRFCCbIVWIOH57J2D9La/Ttddey+jRo+ns7OSggw5i9uzZXHTRRTz++OOMGjWKI488kgMOOACAefPmcd5553HYYYexYsUKjj32WJYtWwbAM888w4IFC9iwYQOTJ0/mrLPO4uKLL2bp0qX9zg/2u9/9jqVLl7LPPvsM6Bh+8YtfsGTJEp544gn++te/ctBBB3H44YfXXP+cc87h29/+NgsWLGDs2LED2mctlitQjLQmLEViY1f/K4pUk482fhulJKxe2eDiWeruJtnWFnFhpNV4Pk8uFTwuIwqWyQR9D/J5yGSas5N+aqz4zpSwKbKXnfaAf7hzwLu94ooruPXWWwFYuXIl119/PUcccQSjR48G4NRTT+XZZ58F4L777tuipmr9+vVs2LABgNmzZ5PNZslms4wbN45XXnml7jIcfPDBA07AAB566CE++tGPkkwmectb3sIRRxzBo48+yo477jjgbQ5U1DUJnkmRVJ8wGaDgJiLZ/4oxoSSsTolMkITlu95UEiaN6w76KURVC5UIbyJyXZvINisJ689RFwZ9wPKdm5el24PlA7Rw4ULuu+8+Fi1axIgRI5g5cyaTJ0/uqd3qrVQqsWjRItrbt54qJJvdXEuZTCYpFOpvEtthh22bU8u9elNxKpWiVNrcl6+rq/k1RIl8gUI6wktDWtMBycAF8ds6SVjr1NlFrOci1vlmxCWRlpTLkY+ws6iFiVek8Tv1w3DiFUHNFxb8f+IVwfIBWrduHbvssgsjRozgmWee4eGHH2bTpk088MADvPHGGxQKBW655Zae9WfNmsWVV17Z87q/ZsZRo0b11JQ10+GHH87NN99MsVhkzZo1PPjggxx88MHstddePP3003R3d7Nu3Truv//+ppctkS9SykR3EStpJLpsg0S+SKmFkjDVhNVpcxJWvWOtSJ9yeYoRJmHl2tt8V8Q3EVM/vE1JV2/HHXccV199NVOnTmXy5MkceuihTJw4kQsuuIBDDjmECRMmsN9++7HTTjsBQdPlZz7zGaZOnUqhUODwww/n6quvrrn9MWPGMGPGDKZMmcLxxx9ftWP+YDj55JNZtGgRBxxwAGbGN7/5TXbbbTcAPvzhDzN16lQmTZrEgQce2POZuXPncvzxxzN+/PhB7ZifzBfxdDSTCgPhSHQlYTIwkcdvg5SE1SmZDS5i3UrCZCAiHvaf2E7jN5vNcvfdd2+1fPr06cydO5dCocDJJ5/MrFmzABg7diw333zzVut3dHRs8Xrp0qU9P9944419lmHmzJnMnDmz37LWGhkJwcSSl156adUk75vf/Cbf/OY3t1r+2c9+ls9+9rP97rdRyXyJUia6S4Ol06TzGokuAxN1/DZKzZF1Kidh+a4mzMsj2z2LeMROMrN9JmG1dHR0MG3aNKZMmcI+++zDnDlzoi5Sy0gWShBln7BshlSxdj85kb4kCyXIpKMuRt1aJ12MWLItqN7MdSoJk8YlIh6xkwrjt/wg8e3dZZddNujbfPLJJzn99NO3WJbNZnnkkUd6Xr/22mscddRRW332/vvvZ8yYMXVtI2qpfAmP8CJm2QwJBwoFSLfOxVTiIer4bZSSsDqVL2L5bnXMl8Yl8kVyESZh5ZuIvAaWDNj+++/fb0f+MWPG9LlOPduIWrLozZvGpA7lkejF7i5SSsKkQamCt1TyrubIOqWyw6smQQZXIl/AUxHWhIXN6bmoO+ZL7KXzjmWjS8LKI3mHS9O5DK5UIdr4bZSSsDql20YAUFCfMBmARMSdRdPtwTxW5WdYilTjxSKp0uZEKArb6yASab44xG+jlITVqXwRy6smTAYgWSjiEVaR6yZC6lEKn3Ea5UWsPAgqt0lJmDSmJ36zET0ebgCUhNWpfBErKgmTAUjmox2xk86WkzDFr9RWnsw3EeFFLBHOadetpnNpUBzit1FKwuqUaVNzjgxcquB4hM2RmZ7myG17WPa2unP5ncz6+Sym/mgqs34+izuXD/yZkUNh7dq1XHXVVYO2vRNOOIG1a9cO2vYGW7nPYJQ1CeX+t5FPLCwtp7szeIKEmiO3Q5kRIwElYTIwqYJHWxPWk4RFVxN25/I76fhtB6vfXI3jrH5zNR2/7Yh1IjbYSdhdd93FzjvvPGjbG2zli1i5STAKKc3JKANUvomIMn4bpSkq6lSuCSspCZMBSOcdy0RXu5BtG8mbNDd+L/ndJTzz+jM13//Dmj+QK+W2WNZV7OLC/7uQnz/786qfedvot/GFg7/Q537nzJnDypUr6erqYt68ecydO5drrrmGSy65hAkTJjBp0iSy2SxXXnkla9as4cwzz2TFihUAXH755cyYMYOOjg5WrFjB8uXLWbFiBeeeey7nnHMO559/Ps8//zzTpk3jmGOOqTqj/erVqznttNNYv349hUKB733ve7z3ve+tWta9996bxYsXM3bs2D6PKSrl5pzylCZR6JlORUmYNCgO8dsoJWF1yrYHNWGey/WzpsiWvFAg6UQ6bDob1uSWIozf3glYf8vrde211zJ69Gg6Ozs56KCDmD17NhdddBGPP/44o0aN4sgjj+SAAw4AYN68eZx33nkcdthhrFixgmOPPZZly5YB8Mwzz7BgwQI2bNjA5MmTOeuss7j44otZunRpn3N73XjjjRx77LF86UtfolgssmlT6yYP5WfjJiK8Ydg8iET9F6Ux5fhVTdh2KJsdQck2j74QqVccRuwMRU1ufzVWs34+i9Vvrt5q+fgdxvPD43444P1eccUV3HrrrQCsXLmS66+/niOOOILRo0cDcOqpp/Lss88CcN999/H000/3fHb9+vVs2BA0wc2ePZtsNks2m2XcuHG88sorde3/oIMO4hOf+AT5fJ45c+Ywbdq0AR9L1Mq1T6kIaxLS7RrJKwNTrglLhYl8K1CfsDplk1nySXAlYdKg7q5y7UKENWHJLLkkeHd0NWHz3jmPtuSWd6htyTbmvXPegLe5cOFC7rvvPhYtWsQTTzzBgQceyOTJk2uuXyqVWLRoEUuWLGHJkiW8+OKLjBo1CggeH1SWTCYpFAp1leHwww/nwQcfZOLEiZx++un8+Mc/HvDxRK08BU86wotYz0hedf2QBpUT91QL1YQpCauTmZFPqTlSGte9KahpibKJJ5lIRh6/s/edTcd7Ohi/w3gMY/wO4+l4Twez95094G2uW7eOXXbZhREjRvDMM8/w8MMPs2nTJh544AHeeOMNCoUCt9xyS8/6s2bN4sorr+x53d8jhEaNGtVTU1bLX/7yF8aNG8enPvUpPvnJT/L4448P+HiiVh6RmGqPLgnLtJcHQak5UhqTD2MmyvhtlJojG1BIGZ7LR10MaTG58O6sPP9RVAopg4hvImbvO3ubkq7ejjvuOK6++mqmTp3K5MmTOfTQQ5k4cSIXXHABhxxyCBMmTGC//fZjp512AoKmy8985jNMnTqVQqHA4YcfztVXX11z+2PGjGHGjBlMmTKF448/vmrH/IULF3LppZeSTqcZOXJkS9eEba5JiLI5cgfyQKlLNWHSmHL8RlmT2yglYQ0opAxTTZg0KC6dRQspw7u3r5uIbDbL3XffvdXy6dOnM3fuXAqFAieffDKzZs0CYOzYsdx8881brd/R0bHF66VLl/b8fOONN/ZZhjPOOIMzzjijrvK+8MILda0XlXJn+HIfwihk2kawCU0HJI0rx295Sp5W0LTmSDPbw8wWmNkyM3vKzLbq+GFmM81snZktCf9d2KzyDIZCOgG5+vqJiJRt7iwa7bDpQsqw/PaVhNXS0dHBtGnTmDJlCvvssw9z5syJukgtoRjWPqUjbM5paw/66GkQlDSqGIM+jY1qZk1YAfgXd3/czEYBj5nZve7+dK/1/tfd39/EcgyaYioxbC5iMnjKI86SETbxABTTSWyYNKdfdtllg77NJ598ktNPP32LZdlslkceeWSrdQ855BC6eyUR119/Pfvvv/+gl2swFXNBElbulxWF8r41CEoaVa49jbImt1FNS8LcfTWwOvx5g5ktAyYCvZOwllFMJzDVhEmD8p1vkiL6mrDgJkLxO1D7779/vx35y6olZq2g3A8ryiQsmwpGokc5p520pnLtaZTx26ghGR1pZnsDBwLVvpnebWZPmNndZvaOoSjPQJVSSV3EpGGF7nhUkRfTSsKkb+WahGyEF7FUIhX5SF5pTeX4LTdpt4Kmd8w3s5HALcC57r6+19uPA3u5+0YzOwG4DZhUZRtzgbkAe+65Z3ML3IdSJkWisxjZ/qU1xaWzaCmdIpFT/Ept5SbAKJMwgHzKIMI57aQ1xSV+G9HUmjAzSxMkYDe4+y96v+/u6919Y/jzXUDazLZ6qJq7/8Ddp7v79F133bWZRe5TKZUkmddFTBpTiMEs5ACeSZJQ/EofPJejkIBsOuKRvEnD1f9WGlTq7iafhEw6ujkZG9XM0ZEGXAMsc/dv11hnt3A9zOzgsDyvNatM28ozKRKFUtTFkBZTbo6MurNoKZ0iUVASJrWVcjlyKUhZtLMXFdM2bAaRyCDK5cgno4/fRjSzJmwGcDpwZMUUFCeY2Zlmdma4zinAUjN7ArgC+Ii7exPLtE08kyaZVxImjenp7NwWbRW5p1ORx++6+fN57sijWPb2/XjuyKNYN39+pOXpz9q1a7nqqqv6XOeFF17ody4xCGbnv+uuu/pdb+HChbz//RENGO/OBVOZBPfGkSmkEqAkTBrkuXws4rcRTUvC3P0hdzd3n+ru08J/d7n71e5+dbjOle7+Dnc/wN0PdfffNqs8g8EzKVKqCZMGFcsjdkZEWxPmmXSk8btu/nxWf+VCCi+9BO4UXnqJ1V+5MNaJWBRJWKRyQRIWNQ0ikQHJ5YL+hC2kders4iCdJqkkTBpUisuInXSKZKF5Fc0v/9u/0b3smZrvdz7xxFYj3ryri9Vf+jJrf/Y/VT+Tffvb2O2CC/rc75w5c1i5ciVdXV3MmzePuXPncs0113DJJZcwYcIEJk2aRDab5corr2TNmjWceeaZrFixAoDLL7+cGTNm0NHRwYoVK1i+fDkrVqzg3HPP5ZxzzuH888/n+eefZ9q0aRxzzDFVH1t0/vnns2zZMqZNm8YZZ5zBWWedxVlnncXixYtJpVJ8+9vfZsaMGVx44YV0dnby0EMP8cUvfpF99tmHc889l87OTtrb2/nhD3/Y58PHh0RYkxC1UjpJUtMBSaNyeYrp6OO3EUrCGpFJk87HtrVUYqo8YifqPmGWyZBqYhLWn1pTDmzrVATXXnsto0ePprOzk4MOOojZs2dz0UUX8fjjjzNq1CiOPPJIDjjgAADmzZvHeeedx2GHHcaKFSs49thjWbZsGQDPPPMMCxYsYMOGDUyePJmzzjqLiy++mKVLl/Y5P9jFF1/MZZddxh133AHAt771LSCY3PWZZ55h1qxZPPvss3zta19j8eLFPQ8QX79+PQ8++CCpVIr77ruPCy64YIuHjUfBcvngySARK6aTpDWIRBqVywdN2S1ESVgDLJslVQB3b6k2Z4lWKReM2Il6xBnZTFNvIvqrsXruyKOCpsheUhMmsNf1A3/o9RVXXMGtt94KwMqVK7n++us54ogjGD16NACnnnoqzz77LAD33XcfTz+9eb7o9evXs2HDBgBmz55NNpslm80ybtw4XnnllQGV56GHHuKzn/0sAG9729vYa6+9evZfad26dZxxxhk899xzmBn5OIwGzBcoxiAJ81QS26QpKqQxiVw84rcRrVXaiFkmHZywgqrJpX6ey5NPBZNQRskyGZIOHlH8jjvvXKxty0TU2toYd965A97mwoULue+++1i0aBFPPPEEBx54YJ9NeqVSiUWLFrFkyRKWLFnCiy++yKhRQTNxNrt5WHsymaQwwPNU79iir3zlK7zvfe9j6dKlzJ8/n66u6B9YncgVKKWTUReDUialrh/SMMvHI34boSSsAZYJvqTLk2+K1KU7Hp1FLUwyonow8k4nnsj4i75GasIEMCM1YQLjL/oaO5144oC3uW7dOnbZZRdGjBjBM888w8MPP8ymTZt44IEHeOONNygUCls08c2aNaunORDo9zFEo0aN6qkpq3edww8/nBtuuAGAZ599lhUrVjB58uSt1lu3bh0TJ04E4Lrrrqv3kJsqkS9SSkV/EfN0WnMySsMS+SJFJWHbr0R4Eevu3BhxSaSlxGTEWSKbAaC7K7r43enEE5n0m/t5+7KnmfSb+7cpAQM47rjjKBQKTJ06la985SsceuihTJw4kQsuuIBDDjmEo48+mv3224+ddtoJCJouFy9ezNSpU9lvv/24+uqr+9z+mDFjmDFjBlOmTOFzn/tc1XWmTp1KKpXigAMO4Dvf+Q6f/vSnKRaL7L///px22mlcd911ZLNZ3ve+9/H0008zbdo0br75Zj7/+c/zxS9+kRkzZlAsxiPhSMSlJiET/XQq0noS+QKebq1eVq1V2oglwpqwnJIwaUQuTzEOSVg4i3T3pg2MGPOWiEszOLLZLHffffdWy6dPn87cuXMpFAqcfPLJzJo1C4CxY8dy8803b7V+R0fHFq+XLl3a83N/00+k02nuv//+LZZVq9kaPXo0jz766BbLKvuKXXTRRQDMnDmTmTNn9rnPZknmS5Qy0V8WgulUNAhKGpPIl+JxE9EA1YQ1IBn2Z8l1vhlxSaSVWExG7CTK8Rs+Rml71tHRwbRp05gyZQr77LMPc+bMibpILSFRKOLpdNTFACVhMgCpfEzitwHR3/K0kGQ2ePafmiOlITHpp5DMlm8itv/4veyyywZ9m08++SSnn376Fsuy2SyPPPLIoO8rKsl8CTLRX8Sink5FWlOiEI/4bYSSsAakwotYfhjUJMjgSeQLsZh7aXMSpprcgdh///377cjf6lIFx2PQHGmZDKkSeLGIJaO/gZHWEJf4bUT0V4YWUm6OzHcrCZP6xWXYf6ptBDD4NxExftzrsDXQ30mq4LGoSYh6JK+0plTBsUwm6mI0RElYA3ouYqpJkAYk8sVYjNhJtQXN6YVBTMLa2tp47bXXlIjFiLvz2muv0dbW+OTA6bz3TMUTpUR4IVWtrTQinXdosSQs+itDC0mHSZjmCZNGJPPFWIw4S4dJ2GDWhO2+++6sWrWKNWvWDNo2Zdu1tbWx++67N/QZLxRIOlg2+otYuSYs1/Um7ewacWmkFcQpfhsR/ZWhhfTUJHQrCZP6JQqlmNSEhTcRgxi/6XSaffbZZ9C2J9EpN/3F4SJW7r/Y3dn3RLkiZZvjN/qa3EaoObIBmbaRgGrCpDGpQgmPQT+bdHvwAHHFr1RTnsQ3EYPmSA0ikUb1xG8MbiIaoSSsAZm24CJWjMEz3qR1pPIOMagJy2SDmrCikjCpontTUOsUhyQskdUgKGlMT/xmG+8LGSUlYQ1ItYcXsZySMKlfqlCKxYidck1YMacRZ7K1cq1TYgAd+gdbueuHasKkXj3xG4ObiEYoCWtAtj1ojix1KwmT+qUKQAyqyDPl+FVNrlSR6wouYskY1CSkwomx852qCZP6xCl+G6EkrAFtPUmYahKkPj0jdmJwd9YW9mks6iZCqijXJCTDWqgoaRCUNKocv6kYxG8jlIQ1IB32CVMSJvUq97+Kw4izTNgc6blcxCWROCpPXVKuhYpS+btWTyeRevXEbzgKvFUoCWtANpUllwRXnxqpU/k5o3EYsZPNtFNI6CZCqsvHqCahPKedBpFIvfI9NblqjtxupRIpCinwbtUkSH02J2HRfzGkLEUupZowqa78JIV0DGoSegaRqOlc6tQTv9no47cRSsIalE8ZnstHXQxpEeUq8mQMmnjMjEIKUBImVRTChKecAEWpPIhEfcKkXnGK30YoCWtQIWWYLmJSp56asJhUkRdSCdBNhFRR6OlTE/0NQ3lOO43klXrFqSa3Ef0mYRb4OzO7MHy9p5kd3PyixVMhZbqISd1yYRKWisHoSCjHr24iZGvlWqfypNRRyo4IR6Kr/63UqSd+w1rUVlFPTdhVwLuBj4avNwD/2bQSxVwxlYB8IepiSIuI24idYioBOcWvbK1c61R+PFuUsm2aDkgaU47fdAxuIhpRz7NUDnH3d5rZ7wHc/Q0zi36oV0SK6SSmi5jUKd/5JmniMfcSQDGdwHQTIVWUE57MiOgvYtnsCIoGriRM6tQTv+3xuOGtVz01YXkzSwIOYGa7AqWmlirGiukECV3EpE49nUXjUhOmmwipoTwSsa19VMQlgXQiTV4jeaUBcYrfRtSThF0B3AqMM7NvAA8B/9bUUsVYKZ1UTYLULW6dRUuppG4ipKpyrVMc+oSZmZIwaUhP/LZYn7B+myPd/QYzeww4CjBgjrsva3rJYsrTKZKbVEUu9SmEk03GJgnLJEls0MAS2Vop100+Cdl0XEbyahCU1K+U6yaXDCZVbyX9JmFmtiewCZhfuczdVzSzYHFVyqRI5DV3jdSnWO7sHJO7M0+nSOY17F+25t058qlgUuo40HQq0oi4xW+96intnQT9wQxoA/YB/gi8o4nlii1PpUjmi1EXQ1pEMRw2HZcJBEvpJMn8sO3SKX3J5cmnLOpS9CiklYRJA3L5oPa0xfTbJ8zd93f3qeH/k4CDCfqF9cnM9jCzBWa2zMyeMrN5VdYxM7vCzP5kZn8ws3cO7DCGUCZNsqCLmNSnPM9RNiY1YYpfqSmXi9VFrJRKYErCpF4xi996NVxv5+6Pm9lBdaxaAP4lXH8U8JiZ3evuT1esczwwKfx3CPC98P/Y8kyKVMGjLoa0iPKw6WwMOjsDuJIwqSWXpxiji1gwnYpaHaROLVoTVk+fsH+ueJkA3gms6e9z7r4aWB3+vMHMlgETgcok7CTgx+7uwMNmtrOZjQ8/G0uWySgJk7qVuuPVJ4x0WvErVVkuH/TDioliOklGI3mlTpbLU0wnoy5Gw+r5ixtV8S9L0EfspEZ2YmZ7AwcCj/R6ayKwsuL1qnBZfCkJkwZ4dy5WI3Z0EyG1WL4Qq4uYplORRli+EDwRpMXUM0XFV7dlB2Y2ErgFONfd1/d+u9ouq2xjLjAXYM8999yW4mwzy2ZIlcALBSzVWqMwZOh5Ll4jdiybIV0EL5WwROt9YUnzWL4YdIaPCc+kSKzTPGFSH8sVYhW/9ap5ZTCz+VRJiMrc/QP9bdzM0gQJ2A3u/osqq6wC9qh4vTvwUpV9/QD4AcD06dMjvY1PZIInNpW6u0kqCZP+xKyzqFXGb3s8HqUk8ZDIFShl4vOd5ukUyYL6hEl9EvlirOK3Xn2V+LJt2bCZGXANsMzdv11jtduBs83sJoIO+evi3B8MwLJBs1KuaxPtO8Sjs7XEl3fHq7NoOX7z3ZuUhMkWEvkivkM8ms2hPKedBpFIfRL5Ij4yPvFbr5pJmLs/sI3bngGcDjxpZkvCZRcAe4bbvxq4CzgB+BPBhLD/sI37bLpEJvgld3duoJ1dIy6NxJ3FbMROIhvMhp7r3EjbzmMiLo3ESTJmNQkaySuNSOaLlNLxid961TM6chLw78B+BJO1AuDu+/b1OXd/iOp9virXceAzdZU0JpLhRay7c2PEJZFWELcRO8mwJqx7k+JXtpQslPAYXcQso5G8Ur+4xW+96unF9kOC+bsKwPuAHwPXN7NQcZZoC2sSut6MuCTSCqxQoBijzqLlmlzFr/SWLJTwTDrqYvTwTJp0XkmY1Cdu8Vuveq4O7e5+P2Du/hd37wCObG6x4qtcE5bv1EVM+me5eA2bTrYF/cByil/pJZV3iNFFzDLZYCSvKxGT/sUtfutVT91dl5klgOfM7GzgRWBcc4sVX6msLmJSv7iN2EmVbyJUEya9pAolLB2fi5hlg5G8ns/3jOoVqSVVKLVknNS8RTezt4Q/nguMAM4B3gX8HXBG00sWU6mwJqEQPphZpC+JfBHPxKhPWBi/+S7Fr2zm7qQLQDY+F7Fy07laHaQ/cYzfevV1i/6EmT0J/BR41t1X0QKjF5st1T4CgHzXpohLIq0gbiN2Um1B/BYUv1KpUCDhQRNgXCTK0wF1vkl2p10iLo3EWjl+062XhPXVWWUiwVxh7wWeNbPbzOw0MxvWkwuls7qISf3i1lk03aabCNlaMXzGaTnxiYPNSZhG8krf4hi/9aqZhLl70d1/7e7/QDCr/Q+BOcCfzeyGISpf7JQvYoXwly7Sl2Q+XsOmFb9STXnKHcvG54ZB0wFJvTbH7/ZVE9bD3XPA08AyYD3BnGHDUjpsjix26SIm/UsVSrEasVNOworqEyYVyhex8mS+cZAsTwfUrVpb6Vsc47defSZhZranmX3OzB4H7gCSwEnufuCQlC6GMm0jASiqY77UIZ33WI3YybYrfmVruXDy3mQ2Pr1NNB2Q1KsnfttaLwnr6wHevyXoF/Y/wFx3XzxkpYqxTPsOdBI8AFmkL+5OqkisRuyk23egCygqfqVCT01CjC5iqbD/rZIw6U958ulWrAnrq7PKF4EHXTPlbaFck1BSnxrpTwxH7GTbd2ADil/ZUj5s8kvFqCasPB1QXrW20o9yEhan+K1XMx/gvV3anISpJkH6Vgj7XcVpxE62fRSg+JUtlUfLpmJUk9AzJ6P6L0o/euI3RjW59YrP81RaRDbdTiEBpVwu6qJIzMVxxE42O4KSgSt+pUK5ya88mW8cpNt2ADQdkPSvHL/leRBbiZKwBqUSKfIpcNUkSD9yMRyxk0lkyCl+pZdybVM6RhexnpHoajqXfpTjd7tMwsxsnpntaIFrzOxxM5s1FIWLIzMjnwJy+aiLIjGX66ldiE8SVo5f1YRJpXJtUznxiYNMe1ATppG80p/NNxHxqcmtVz01YZ9w9/XALGBXgkcXXdzUUsVcIWmgi5j0I65z1xSTBt2KX9msPHlveQqeOMiEzZGak1H6U36Wc5zit171JGEW/n8C8EN3f6Ji2bBUSCdUEyb92tzZOV53Z/m0QV7xK5uVE504NUeWL6ilnJrOpW/l+C3XnraSepKwx8zsHoIk7NdmNgooNbdY8VZMJXQRk35t7iwas5qwlG4iZEvlJr90jC5i2RFhEtalJEz6Fsf4rVc9D7X7JDANWO7um8xsDEGT5LBVTCewXCHqYkjM5breJEP8OosWU4pf2VJ53rjyFDxxkM0GF1TNaSf9KcdIJkbxW696krBp4f/7mvW0Qq4zs5S7D8tv8mIqQSI/LA9dGlAe1RW3u7NiOokpfqVCubapbcSoiEuyWTaVDUbyqtZW+lGe97BtO03CrgLeCfyBoC/YlPDnMWZ2prvf08TyxVIpnSKlmgTpRyGGE2AClNJJ0krCpEIpH1zEyp3h4yBhiXAkr5ojpW/lfoNxit961dMn7AXgQHef7u7vAg4ElgJHA99sYtliq5ROksgXoy6GxFx52HTcRuwofqU3786RS0I2GZ+nO4BGokt9vDtHLhW/+K1HPUnY29z9qfILd3+aIClb3rxixZunkyQKuohJ38qdReM2YkdJmPTm3d3kU5BMJKMuyhbyKcPV6iD9iGv81qOe5sg/mtn3gJvC16cBz5pZFhiWjfWlTIpkflgPEJU69Az7j1kS5pkUCcWvVMrlKKTiN/NQMAhqWF5mpBG5XFBr2oLqqQn7OPAn4FzgPGB5uCwPvK9J5Yq3dJqULmLSj7j2U/B0mpRqwqRSLk8+hklYQUmY1COm8VuPfmvC3L0T+Fb4r7eNg16iFuCZNMmCkjDpWxxHnEFQE5YsetTFkDjJFYJJqGOmlEqABpFIf3IFijGM33r0m4SZ2QygA9ircn1337d5xYq5TJpUQRcx6VvP3DUxqwkjk1FNrmzBcvkg4YmZYjpJSkmY9MNy+VjeRNSjnj5h1xA0Qz4GqA0DMCVhUgfPxXPEjqUVv7Ily8ezJqGUTpLo1mVH+mb5QvAkkBZUTxK2zt3vbnpJWohlMqSL4O5UTGArsgXP5eI5YiebIVVQ/MpmlitQSMcsTglHom/UPGHSN8sVKMYwfutRTxK2wMwuBX4B9Pw1uPvjTStV3GWDmo1SdzfJmD0XUGIkpiN2LJMJRuTk85DJRF0ciYFEvkCpLX4XsVI6RTK/KepiSMwlCkVK2fjFbz3qScIOCf+fXrHMgSMHvzitIZEJkrB815tKwqS2mI7YKcdvrmsTWSVhAiQKJUrp+MWCBkFJPRL5IqWRrXktrmd05PCchqIPibAmLNf5Jm07j4m4NBJbuXws+9lYNrjY5jrfJLvjztEWRmIhmS/iMWzO8XRKSZj0K5kv4pl66pTip2apzezv3P0nZvbP1d5392/3tWEzuxZ4P/Cqu0+p8v5M4JfAn8NFv3D3r9VZ7khtTsKG5QwdUqe4jtgp197mu96MuCQSF8l8Cc+koy7G1jJpUnkNIpG+xTZ+69BX6lgeVz/QSY6uA64EftzHOv/r7u8f4PYjkwwfyNytJEz6YPliLIf9JxS/0kuqEM+LmGUypFQTJv1IFUp4ejurCXP374f/f3UgG3b3B81s7wGWK9bKSVi+Sx1Gpba4jjhLZpSEyZZS+RLEMAkL5mSMuhASd8lCTOO3Dn01R17R1wfd/ZxB2P+7zewJ4CXg/1U+KDzOkm3tAOQ6lYRJbXEdcZYK47fQ1RlxSSQuUgXH0vG7iFkmS9LBCwUs1Zo1HdJ86by3bBLWV1vJY+G/NuCdwHPhv2kMzqStjwN7ufsBwH8At9Va0czmmtliM1u8Zs2aQdj1tilfxPLd6lMjtSXzRUoxrCIv30TkOxW/EswXlyoA2fiNjiz3vy3qhkFqKMevZeM1KXa9aiZh7v4jd/8RMAl4n7v/h7v/B3AUQSK2Tdx9vbtvDH++C0ib2dga6/7A3ae7+/Rdd911W3e9zVJZ1SRI/xL5UixH7KTC5vRct2pyBcjnSbB51GycWDao3ejWIBKppRy/LTrdTj29hiewZef8keGybWJmu1k4XbeZHRyW5bVt3e5QSLeNAKCgPmHSh2RMO4um24MxN6pdEAjmi4Og6S9uyoNINBJdasmH32OtmoTVc4W4GPi9mS0IXx9B8EDvPpnZT4GZwFgzWwX8K5AGcPergVOAs8ysAHQCH3H3lhiLXL6I5XURkz7EdcSZbiKkUm5TkOAkYtick8yW+9+qJkyqy4W1pHGM33rUM1nrD83sbjbPnH++u79cx+c+2s/7VxJMYdFy0m0jcKDY3RV1USTG4jriLJ0tJ2G6iRDIh83SiTjWhIW1GxrJK7WUa0lb9ek1fY2OfGevRSvD/yeY2YTh/OzITNsOdKPmHOlbqhDPETuZ9h3IAcVuPRhZNic4cbyI9QyCUq2t1FCO33LTdavpqybsW328N6yfHZkZMTJIwlQTJjVsHrETv34K6Z4kTDcRUpGEhU1/cZIKm86VhEktm+N3O0vC9MzI2jJtQZ+wkpIwqSXGI3YybTvwJopfCZSnKinXOsVJz8TY6hMmNRTC+TpTMbyJqEe/fcLMLA2cBRweLloIfN/d800sV6xl20cC4LlcxCWRuIrziLO2EcFg55LiVwgSHGPz/HFx0jOIRLW2UkO5ljSO8VuPeqao+B7wLuCq8N+7wmXDVjY7gpJBSX1qpIY4jzhTTa5UyocJTiqGzTnlkegaRCK1lEdHlhP2VlPPFBUHhbPal/0mfNTQsJVNZsknwZWESQ1xHrGTTWbJJcG7VRMmQYKTYXPCEyebH7GlPmFSXTl+49icXo96asKKZvbW8gsz25fBeWxRyzIz8inw3LBtkZV+5GI87D+ZSIbxqyRMNic4caxJKNfaahCU1NITvzG8iahHPTVhnwMWmNlywIC9gH9oaqlaQCFluohJTXEecQZB/KL4FTZPtRPHi1imbSQFlIRJbT3xG8ObiHrUM1nr/WY2CZhMkIQ94+7Dvh2ukDJMFzGpIc4jziC8iehWTa5s7m+ViWESlm4PLqzFLiVhUl0xF8RGHOO3Hn1N1vrBGm+91cxw9180qUwtoZBOQK4QdTEkpuI84gzCm4i8kjCBUi64py4/SSFO2tpHsY7NZRTprZygZ8JZC1pNXzVhJ/b6eX7FaweGdRJWTCV0EZOa8l2bgs7OMa0iL6aTmPo0CptHyWbbR0Vckq31TAekQVBSQ5zjtx59Tdba0+/LzH5f+VqgmE5gqgmTGgrdXbEesRPcRCh+ZfNUO9kR8atJyKSzFBKaDkhqK8dGeRBHq6lndCQENV9SoZRK6iImNcV5xBmENxH5YT3IWUKl7m5KQDYbv4tYylLkUuBqdZAaNsdvPL9r+1NvEia9lDIpErqISQ1xHnEGUEqnSKgmVwjmi8unIJuK33QqZhaM5NWcdlKD5+Ibv/Xoq2P+fDbXgO1rZrdXvu/uH2hmweKulEqSzOuLQaqL84gzAE8nSbypJh4JLmKFFCQsnvfkmk5F+lK+iYhr/Panr475l1X8/K1mF6TVeCZFolCKuhgSU+V5jeI44gzCmtyCZiGXck2CRV2MmgopAzVHSg3BTUR847c/fXXMf2AoC9JqPJMmmVcSJtV5OKQ+riN2PJ1S/AoAFvOLmKYDkr7EPX7705r1d3GQTpFSTZjUEOcRZwBk0opfCeTyQaITU6VUQtOpSG35Qqzjtz+tW/KIeSZNUhcxqSHOI84grAkraNCzgOUKFFPxvRQU00mN5JWaLJePdfz2p9+Sm9mp9SwbdjJp0nldxKQ67+6O9Ygdy2RIKQkTwPLxTsJK6SQJTQckNViuQDGdjLoYA1bPX94X61w2rFg2S6oA7rqQydY8l4/1iDOyGd1ECACJfIFSjC9iQRKmmjCpLu7x25++pqg4HjgBmGhmV1S8tSMw7G9LLJMOMthCAdLpqIsjMRP3EWeWyZB08EIBS/U1SFq2d4l8kVJ7fGMgGESiB3hLdUH8bodJGPASsBj4APBYxfINwHnNLFQrsEzQzFTo6iStJEx6ifuIHcsG8Vvq7iapJGxYS+SKlHbMRF2MmkoZjeSV2hL5eMdvf/qaouIJ4Akzu9HdNTSll0R4Eevu3Eh61I4Rl0ZiJ+YjzhLZ4Euru2sjI3aI5+ABGRrJQhFPxzgRT6c0CEpqSuRLeCbG8duPeq4SB5vZvWb2rJktN7M/m9nyppcs5hJhTViu682ISyJxFPcRZ4l0eBOxaUPEJZGoJfMlPBPf2nyNRJe+pPJFvIVbo+pJH68haH58DFDvyFCyrQ2A3KaNEZdE4ijuI84S5fjt0qz5w12yEPOaBI3klT4E8bt9J2Hr3P3uppekxSSz7UDQHCnSWyJfIB/jETvJbJiEKX6HvVTBIRPfPjWW1nRAUlsQv9t3ErbAzC4FfgH0PPHX3R9vWqlaQCq8iOVVkyBVxH3E2eYkTM3pw106H++LmGUzpErgpRKWiG/tskRjOCRhh4T/T69Y5sCRg1+c1lFujsx3KwmTrcV9xFmqLXiwuG4ihjd3J10MpiyJqy1G8ra3R1waiRN3J1PYPFtBK+o3CXP39w1FQVpNz0VMNQlSRdxHnKXagotZQUnYsOb5YOB7rJOwsGz5zk1KwmQLPfGbjW/89qeexxa9xcyuMbO7w9f7mdknm1+0eEuHSVihqzPikkgcxX3EWTkJU03Y8Fa+iSxPuRNHiXLTebf6L8qWyvG7XSdhwHXAr4EJ4etngXObVJ6W0VOT0K0kTLYW9xFnPTcRit9hrTy6u5zoxFGyPCejRqJLL+X4TWbiG7/9qScJG+vuPwNKAO5eoI6pKszsWjN71cyW1njfzOwKM/uTmf3BzN7ZUMkjlmkbCagmTKqL+4izdHswQavid3jr7gzmiYt1TVh5TkZ1/ZBeyvN0xjl++1NPEvammY0h6IyPmR0KrKvjc9cBx/Xx/vHApPDfXOB7dWwzNjJtwUWs2KVnmsnW4j7iLB1OsVJUEjas5VqgOTIZtjpoYmzprTxFVHmgXCuqp73kn4Hbgbea2f8BuwKn9Pchd3/QzPbuY5WTgB+7uwMPm9nOZjbe3VfXUabIpdpHkAOKOSVhsqVWGHGWaR9JJ1DMdfe7rmy/ypP1lrtXxNHm/otKwmRL5ZuI8rydraie0ZGPm9kRwGTAgD8O0rMkJwIrK16vCpe1RBKWbR/JJqDUrSRMttQKI87KSVhJNbnD2uaLWHxrEsply3dqEIlsqacmd3uuCTOzD/Za9Ldmtg540t1f3YZ9W5VlVadFNrO5BE2W7Lnnntuwy8HT1h70CSt1qyZBttQKI87a2kayDijqJmJYy3e/SYLNU+7EUUqDSKSGQvebGJu7V7SiepojPwm8G1gQvp4JPEyQjH3N3a8f4L5XAXtUvN4deKnaiu7+A+AHANOnT4/F8yvSYZ8wJWHSWyuMOMuEHfM9l4u4JBKlQucmMsS7OTLdromFpbp8V2cYv/G9iehPPR3zS8Db3f1D7v4hYD+CxxcdAnxhG/Z9O/D34SjJQwmeUdkSTZEA2VSWXBJcfWqkl80jzuLbHJnNtFNI6CZiuCuPjk3FuCYhky0PglJNmGypPNl0uoWTsHpqwvZ291cqXr8K/K27v25mNfuGmdlPCWrNxprZKuBfgTSAu18N3AWcAPwJ2AT8w4COICKpRIpCCrxbNQmypXJn5zjXhKUsRT6lmrDhLh828ZWnLImjVFs7DhTUdC695LviH7/9qScJ+18zuwP4n/D1KeGyHYC1tT7k7h/ta6PhqMjP1FnO2Fk3fz5tOdjzV0/y3JFHMe68cwF49TuXU1i9mtT48Q0t2+nEE1k3f/6APx+3/Qznfa+/5GIAxv/3r1g3/hB2OvHEOqNq6Ky/4w6yedjzrid4bknrxG+U+94ej3Hkd28AIP0v/866L3gsYzX5yBMUgF0uvZ7nbri/pc5vnPa9PR5jOX5T//wN1n2hGMv47Y8FuVAfK5gZ8EHgMILO9A+5+8+HoGxVTZ8+3RcvXhzV7oEgAVv15S+R6N5cEVhKJsCMRKHY+LJsmtEf/BCv/+KWwdtmlPvRvrfY9+5f/0asvhxaNn71t9P0Y4xjrL705a9AZbN5KoWZ9YxC3tZl1tbGTifPYd2tt+GVo4UHeT9R7nu4HOP4i74Wq/gtM7PH3H161ff6S8KqbOww4KPuHkktVhySsD8c/m7Sr64d1G061YeLDrah2o/2vVl+3M5MfXBRRHvfWivHb5T7Hg7HGLdYfe7Ioyi8VHW81uAygwavhS2372FwjKkJE5j0m/ubvp9G9ZWE1fVwOzObBnwUOA34M/CLQStdC0oN8gVMtm9xi5e4lUfiI26xkV/90tAk2O7RJdhDtO/hcIz51UOQsA+ymqMjzexvzexCM1sGXEkwpYS5+/vc/T+GrIQx9NcdB3+bpSH66xiq/WjfmzUjXrZFK8dvlPseDscYt1h9Y8fkkOxnOPxuh8MxDlW8DKa+pqh4BjgKONHdDwsTr34f3D0c3D1rNF296hBzBvnkwJZ1peDeA21QtxnlfrTvLfd996zRxEmrxq/+dpq/n7jF6k+O8CE57nsOJLLf7VDse7gc40+OiMU0og3pqznyQ8BHgAVm9ivgJqLrEhErh33iAn5Y+BKn/KabMevhtR3h5plBR8EPL8g3vOznR2YZN+cUfnjbzwdtm1HuR/vect/HfuKCqEN2C60av/rbaf4xxi1Wnz94It9nFR9b6D3lvHFmcBkazGWLpqR5dvd80/cT5b6HwzEuP3jitobckKtndOQOwByCPmFHAj8CbnX3e5peuiri0DEf4M7ld/Ldx7/Ly2++zG477Ma8d84DGPCy2fvOHvRtRrkf7XvLfcdNq8ZvlPseLscYJ3cuv5OO33bQVdw8qi5lQQKZL+UHZVlbso2T/uYkfvmnXzZ1P1Hue7gcY8d7OmIXwzCIoyPNbDRwKnCaux85SOVrSFySMBERaT4l2K21n6iPMY4GdYqKqCkJExERkVbRVxLWV8d8EREREWkSJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhIBJWEiIiIiEVASJiIiIhKBpiZhZnacmf3RzP5kZudXeX+mma0zsyXhvwubWR4RERGRuEg1a8NmlgT+EzgGWAU8ama3u/vTvVb9X3d/f7PKISIiIhJHzawJOxj4k7svd/cccBNwUhP3JyIiItIympmETQRWVrxeFS7r7d1m9oSZ3W1m72hieURERERio2nNkYBVWea9Xj8O7OXuG83sBOA2YNJWGzKbC8wF2HPPPQe5mCIiIiJDr5k1YauAPSpe7w68VLmCu693943hz3cBaTMb23tD7v4Dd5/u7tN33XXXJhZZREREZGg0Mwl7FJhkZvuYWQb4CHB75QpmtpuZWfjzwWF5XmtimURERERioWnNke5eMLOzgV8DSeBad3/KzM4M378aOAU4y8wKQCfwEXfv3WQpIiIist2xVst5pk+f7osXL466GCIiIiL9MrPH3H16tfc0Y76IiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiERASZiIiIhIBJSEiYiIiEQg1cyNm9lxwHeBJPDf7n5xr/ctfP8EYBPwcXd/vJll6s+jt3+fPR6/lHG+hldtV1a+83MATV920Af+aUj2PVT70b71u93e9j0cjlHnd/vd93A4xm3d90Ef+CeGmrl7czZslgSeBY4BVgGPAh9196cr1jkB+CxBEnYI8F13P6Sv7U6fPt0XL17clDI/evv3mfLYl2m3XM+ybk9iGBkrNG1Zp2dYMmY20167s6n7Hqr9aN/63W5v+x4Ox6jzu/3uezgc47buu9MzLH3X15uSiJnZY+4+vep7TUzC3g10uPux4esvArj7v1es831gobv/NHz9R2Cmu6+utd1mJmEvd/wNu7GmKdvuT9GNpDXndxHFfrTvod/3cDjGKPc9HI4xyn0Ph2OMct/D4Ri3dd8vsyu7dfxp0MvQVxLWzD5hE4GVFa9XhcsaXWfIjPNoEjBgyAI0qj8E7Xv72c9w3fdwOMYo9z0cjjHKfQ+HY9zWfY/zvzaxJNU1MwmzKst6n4161sHM5prZYjNbvGZN8xKlV23Xpm27P0Wvdipadz/a99DvezgcY5T7Hg7HGOW+h8MxRrnv4XCM27rvV21sE0tSXTOTsFXAHhWvdwdeGsA6uPsP3H26u0/fddfmJUor3/k5Oj2zxbJuT5LzVFOXdXqG342Z0/R9D9V+tO+h3/dwOEad3+1338PhGHV+473vTs/0dNgfSs0cHfkoMMnM9gFeBD4CfKzXOrcDZ5vZTQQd89f11R+s2Q76wD/xKOURE3/lVRvLyndVjqJo3rJ3bzGCo/X3o33rd7u97Xs4HKPO7/a77+FwjNu67+1qdCT0jH68nGCKimvd/RtmdiaAu18dTlFxJXAcwRQV/+Duffa6b2bHfBEREZHB1FfH/KbOE+budwF39Vp2dcXPDnymmWUQERERiSPNmC8iIiISASVhIiIiIhFQEiYiIiISASVhIiIiIhFQEiYiIiISASVhIiIiIhFQEiYiIiISgaZO1toMZrYG+MsgbnIsMPRP7RwedG6bQ+e1OXRem0PntXl0bptjsM/rXu5e9ZmLLZeEDTYzW1xrJlvZNjq3zaHz2hw6r82h89o8OrfNMZTnVc2RIiIiIhFQEiYiIiISASVh8IOoC7Ad07ltDp3X5tB5bQ6d1+bRuW2OITuvw75PmIiIiEgUVBMmIiIiEoFhnYSZ2XFm9kcz+5OZnR91eVqZmb1gZk+a2RIzWxwuG21m95rZc+H/u0Rdzrgzs2vN7FUzW1qxrOZ5NLMvhvH7RzM7NppSt4Ya57bDzF4M43aJmZ1Q8Z7ObR3MbA8zW2Bmy8zsKTObFy5X3G6DPs6rYnYbmFmbmf3OzJ4Iz+tXw+WRxOuwbY40syTwLHAMsAp4FPiouz8dacFalJm9AEx3979WLPsm8Lq7Xxwmubu4+xeiKmMrMLPDgY3Aj919Sris6nk0s/2AnwIHAxOA+4C/dfdiRMWPtRrntgPY6O6X9VpX57ZOZjYeGO/uj5vZKOAxYA7wcRS3A9bHef0witkBMzMDdnD3jWaWBh4C5gEfJIJ4Hc41YQcDf3L35e6eA24CToq4TNubk4AfhT//iOALRPrg7g8Cr/daXOs8ngTc5O7d7v5n4E8EcS1V1Di3tejc1sndV7v74+HPG4BlwEQUt9ukj/Nai85rHTywMXyZDv85EcXrcE7CJgIrK16vou8Al745cI+ZPWZmc8Nlb3H31RB8oQDjIitda6t1HhXDg+NsM/tD2FxZboLQuR0AM9sbOBB4BMXtoOl1XkExu03MLGlmS4BXgXvdPbJ4Hc5JmFVZNjzbZgfHDHd/J3A88Jmw6UeaSzG87b4HvBWYBqwGvhUu17ltkJmNBG4BznX39X2tWmWZzm0NVc6rYnYbuXvR3acBuwMHm9mUPlZv6nkdzknYKmCPite7Ay9FVJaW5+4vhf+/CtxKUF37Stivody/4dXoStjSap1HxfA2cvdXwi/kEvBfbG5m0LltQNi35hbgBnf/RbhYcbuNqp1Xxezgcfe1wELgOCKK1+GchD0KTDKzfcwsA3wEuD3iMrUkM9sh7DiKme0AzAKWEpzPM8LVzgB+GU0JW16t83g78BEzy5rZPsAk4HcRlK9llb90QycTxC3o3NYt7Oh8DbDM3b9d8ZbidhvUOq+K2W1jZrua2c7hz+3A0cAzRBSvqcHaUKtx94KZnQ38GkgC17r7UxEXq1W9Bbg1+M4gBdzo7r8ys0eBn5nZJ4EVwKkRlrElmNlPgZnAWDNbBfwrcDFVzqO7P2VmPwOeBgrAZzQSqrYa53ammU0jaF54Afgn0Llt0AzgdODJsJ8NwAUobrdVrfP6UcXsNhkP/CicISEB/Mzd7zCzRUQQr8N2igoRERGRKA3n5kgRERGRyCgJExEREYmAkjARERGRCCgJExEREYmAkjARERGRCCgJE5GWYWZjzGxJ+O9lM3sx/HmjmV3VxP3ONLP3NGv7IjI8Ddt5wkSk9bj7awSPa8HMOoCN7n7ZEOx6JrAR+O0Q7EtEhgnVhIlIywtrqu4If+4wsx+Z2T1m9oKZfdDMvmlmT5rZr8JHwWBm7zKzB8KHzv+64pEl55jZ0+EDkm8KH558JnBeWOv23nDW7VvM7NHw34yKfV9vZr8xs+fM7FMRnRIRaQGqCROR7dFbgfcB+wGLgA+5++fN7FZgtpndCfwHcJK7rzGz04BvAJ8Azgf2cfduM9vZ3dea2dVU1LqZ2Y3Ad9z9ITPbk+DJG28P9z0VOBTYAfi9md1ZfraqiEglJWEisj26293zZvYkwWPJfhUufxLYG5gMTAHuDR+3lQRWh+v8AbjBzG4Dbqux/aOB/cLPAuxYfn4q8Et37wQ6zWwBwQOWa21HRIYxJWEisj3qBnD3kpnlffPz2UoE33sGPOXu767y2dnA4cAHgK+Y2TuqrJMA3h0mWz3CpKz3s+D0bDgRqUp9wkRkOPojsKuZvRvAzNJm9g4zSwB7uPsC4PPAzsBIYAMwquLz9wBnl1+ED1QuO8nM2sxsDEGH/kebeBwi0sKUhInIsOPuOeAU4BIzewJYAryHoFnyJ2Ez5u8J+n2tBeYDJ5c75gPnANPDzvtPE3TcL/sdcCfwMHCR+oOJSC22uZZeRES2xRBPmyEiLU41YSIiIiIRUE2YiIiISARUEyYiIiISASVhIiIiIhFQEiYiIiISASVhIiIiIhFQEiYiIiISASVhIiIiIhH4/wGUDnrH+LxUDgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hydra_agent_value_plot_rev(rdf,'Hydra Omnipool Value of Si, Ri, and H in H equivalent', len(rdf['timestep'])) #,2, 'i')"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "3754a89a7256dc691171fab9df85eee02c0ea2c9d1109af1d55635640a24828b"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}