Graph_And_analysis.ipynb 1.66 MB
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "import pandas\n",
    "import shelve\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import itertools\n",
    "import glob\n",
    "from sklearn.metrics import precision_recall_fscore_support\n",
    "import utils\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def show_network_TRANS(scores,zero=10,unite=120,tailleu=100,title=\"Transform NEwtork\"):\n",
    "    plt.figure(figsize=(20,10))\n",
    "    plt.axes()\n",
    "    plt.title(title)\n",
    "    #zero=10\n",
    "    #unite=200\n",
    "    #tailleu=100\n",
    "    inside=0\n",
    "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_SPARSE\" in scores:\n",
    "        plt.text(zero+inside,zero+inside,scores[\"ASR_SPARSE\"],color=\"white\")\n",
    "        #plt.text(zero+inside+60,zero+inside,\"0.58\",color=\"red\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_H1\" in scores:\n",
    "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_H2\" in scores:\n",
    "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_H2\"],color=\"white\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+3*unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_OUT\" in scores:\n",
    "        plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")\n",
    " \n",
    "    \n",
    "    rectangle = plt.Rectangle((zero+3*unite, zero), tailleu, tailleu, fc='y')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"TRS_SPARSE\" in scores:\n",
    "        plt.text(zero+3*unite+inside,zero+inside,scores[\"TRS_SPARSE\"],color=\"black\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+3*unite, zero+1*unite), tailleu, tailleu, fc='y')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"TRS_AE_H1\" in scores:\n",
    "        plt.text(zero+3*unite+inside,zero+1*unite+inside,scores[\"TRS_AE_H1\"],color=\"black\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+3*unite, zero+2*unite), tailleu, tailleu, fc='y')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"TRS_AE_H2\" in scores:\n",
    "        plt.text(zero+3*unite+inside,zero+2*unite+inside,scores[\"TRS_AE_H2\"],color=\"black\")\n",
    "    if \"ASR_H1_TRANFORMED_TRSH2\" in scores:\n",
    "        plt.text(zero+3*unite+tailleu/2,zero+2*unite+inside,scores[\"ASR_H1_TRANFORMED_TRSH2\"],color=\"red\")   \n",
    "    if \"ASR_H2_TRANFORMED_TRSH2\" in scores:\n",
    "        plt.text(zero+3*unite-tailleu/2,zero+2*unite+inside,scores[\"ASR_H2_TRANFORMED_TRSH2\"],color=\"green\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+3*unite, zero+3*unite), tailleu, tailleu, fc='y')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"TRS_AE_OUT\" in scores:\n",
    "        plt.text(zero+3*unite+inside,zero+3*unite+inside,scores[\"TRS_AE_OUT\"],color=\"black\")\n",
    "    if \"ASR_H1_TRANFORMED_OUT\" in scores:\n",
    "        plt.text(zero+3*unite+tailleu/2,zero+3*unite+inside,scores[\"ASR_H1_TRANFORMED_OUT\"],color=\"red\")\n",
    "    if \"ASR_H2_TRANFORMED_OUT\" in scores:\n",
    "        plt.text(zero+3*unite-tailleu/2,zero+3*unite+inside,scores[\"ASR_H2_TRANFORMED_OUT\"],color=\"green\")\n",
    "\n",
    "    rectangle = plt.Rectangle((zero+1*unite, zero+1*unite), tailleu, tailleu, fc='r')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_H1_TRANSFORMED_W1\" in scores:\n",
    "        plt.text(zero+1*unite+inside,zero+1*unite+inside,scores[\"ASR_H1_TRANSFORMED_W1\"],color=\"black\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+1*unite, zero+2*unite), tailleu, tailleu, fc='green')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_H2_TRANSFORMED_W1\" in scores:\n",
    "        plt.text(zero+1*unite+inside,zero+2*unite+inside,scores[\"ASR_H2_TRANSFORMED_W1\"],color=\"white\")\n",
    " \n",
    "\n",
    "    rectangle = plt.Rectangle((zero+2*unite, zero+1*unite), tailleu, tailleu, fc='r')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_H1_TRANSFORMED_W2\" in scores:\n",
    "        plt.text(zero+2*unite+inside,zero+1*unite+inside,scores[\"ASR_H1_TRANSFORMED_W2\"],color=\"black\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+2*unite, zero+2*unite), tailleu, tailleu, fc='green')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_H2_TRANSFORMED_W2\" in scores:\n",
    "        plt.text(zero+2*unite+inside,zero+2*unite+inside,scores[\"ASR_H2_TRANSFORMED_W2\"],color=\"white\")\n",
    "\n",
    "    plt.axis('scaled')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "def show_network_RSPE(scores,zero=10,unite=120,tailleu=100,title=\"REAL SPE NEwtork\"):\n",
    "    plt.figure(figsize=(20,10))\n",
    "    plt.axes()\n",
    "    plt.title(title)\n",
    "    #zero=10\n",
    "    #unite=200\n",
    "    #tailleu=100\n",
    "    inside=0\n",
    "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR\" in scores:\n",
    "        plt.text(zero+inside,zero+inside,scores[\"ASR\"],color=\"white\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_H1\" in scores:\n",
    "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_H2\" in scores:\n",
    "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_H2\"],color=\"white\")\n",
    "    if \"ASR_AEH2_SPARSE\" in scores :\n",
    "         plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AEH2_SPARSE\"],color=\"white\")\n",
    "    rectangle = plt.Rectangle((zero, zero+3*unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_OUT\" in scores:\n",
    "        plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")\n",
    "    if \"ASR_AEOUT_SPARSE\" in scores :\n",
    "         plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AEOUT_SPARSE\"],color=\"white\")\n",
    "    \n",
    "   \n",
    "    plt.axis('scaled')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#'', '', '', '', '', '', '', '', 'ASR_W1_TRANSFORMED', 'ASR_AE_H1']\n",
    "\n",
    "def show_network_UNFIXED(scores,zero=10,unite=120,tailleu=100,title=\"Transform NEwtork\"):\n",
    "    plt.figure(figsize=(20,10))\n",
    "    plt.axes()\n",
    "    plt.title(title)\n",
    "    #zero=10\n",
    "    #unite=200\n",
    "    #tailleu=100\n",
    "    inside=0\n",
    "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_SPARSE\" in scores:\n",
    "        plt.text(zero+inside,zero+inside,scores[\"ASR_SPARSE\"],color=\"white\")\n",
    "        #plt.text(zero+inside+60,zero+inside,\"0.58\",color=\"red\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_H1\" in scores:\n",
    "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")\n",
    "    if \"ASR_H1_TRANSFORMED\" in scores:\n",
    "        plt.text(zero+inside+tailleu,zero+1*unite+inside,scores[\"ASR_H1_TRANSFORMED\"],color=\"green\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_OUT\" in scores:\n",
    "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")\n",
    "\n",
    "    \n",
    "    rectangle = plt.Rectangle((zero+3*unite, zero), tailleu, tailleu, fc='y')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"TRS_SPARSE\" in scores:\n",
    "        plt.text(zero+3*unite+inside,zero+inside,scores[\"TRS_SPARSE\"],color=\"black\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+3*unite, zero+1*unite), tailleu, tailleu, fc='y')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"TRS_AE_H1\" in scores:\n",
    "        plt.text(zero+3*unite+inside,zero+1*unite+inside,scores[\"TRS_AE_H1\"],color=\"black\")\n",
    "    if \"ASR_H2_TRANSFORMED\" in scores:\n",
    "        plt.text(zero+3*unite+inside-tailleu,zero+1*unite+inside,scores[\"ASR_H2_TRANSFORMED\"],color=\"green\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+3*unite, zero+2*unite), tailleu, tailleu, fc='y')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"TRS_AE_OUT\" in scores:\n",
    "        plt.text(zero+3*unite+inside,zero+2*unite+inside,scores[\"TRS_AE_OUT\"],color=\"black\")\n",
    "    if \"ASR_TRANFORMED_OUT\" in scores:\n",
    "        plt.text(zero+3*unite+inside-tailleu,zero+2*unite+inside,scores[\"ASR_TRANFORMED_OUT\"],color=\"green\")\n",
    " \n",
    "\n",
    " \n",
    "    rectangle = plt.Rectangle((zero+1*unite, zero+1*unite), tailleu, tailleu, fc='green')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_W1_TRANSFORMED\" in scores:\n",
    "        plt.text(zero+1*unite+inside,zero+1*unite+inside,scores[\"ASR_W1_TRANSFORMED\"],color=\"white\")\n",
    "\n",
    "\n",
    "    plt.axis('scaled')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "#['ASR_H1_TRANFORMED_OUT', 'ASR_H2_TRANFORMED_OUT', 'TRS_AE_OUT', 'TRS_SPARSE', 'ASR_SPARSE']\n",
    "def show_network_RAW(scores,zero=10,unite=120,tailleu=100,title=\"RAW NEwtork\"):\n",
    "    plt.figure(figsize=(20,10))\n",
    "    plt.axes()\n",
    "    plt.title(title)\n",
    "    #zero=10\n",
    "    #unite=200\n",
    "    #tailleu=100\n",
    "    inside=0\n",
    "    rectangle = plt.Rectangle((zero, zero), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"SPARSE\" in scores:\n",
    "        plt.text(zero+inside,zero+inside,scores[\"ASR\"],color=\"white\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_H1\" in scores:\n",
    "        plt.text(zero+inside,zero+1*unite+inside,scores[\"ASR_AE_H1\"],color=\"white\")\n",
    " \n",
    "    rectangle = plt.Rectangle((zero, zero+2*unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_H2\" in scores:\n",
    "        plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AE_H2\"],color=\"white\")\n",
    "    if \"ASR_AEH2_SPARSE\" in scores :\n",
    "         plt.text(zero+inside,zero+2*unite+inside,scores[\"ASR_AEH2_SPARSE\"],color=\"white\")\n",
    "    rectangle = plt.Rectangle((zero, zero+3*unite), tailleu, tailleu, fc='b')\n",
    "    plt.gca().add_patch(rectangle)\n",
    "    if \"ASR_AE_OUT\" in scores:\n",
    "        plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AE_OUT\"],color=\"white\")\n",
    "    if \"ASR_AEOUT_SPARSE\" in scores :\n",
    "         plt.text(zero+inside,zero+3*unite+inside,scores[\"ASR_AEOUT_SPARSE\"],color=\"white\")\n",
    "    \n",
    "   \n",
    "    plt.axis('scaled')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/DECODA_MINIAE_TANH_H50_DO.shelve\n"
     ]
    },
    {
     "data": {
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x9epWJKcn43Twacw8OhMA8Pdbf6Pp0qZ4q8Vb0Gj1g4rdndxx4t4JzO46G18d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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79574b4650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ph5XM/JsOnfcfKAPNJW0ABg1dwOsoc5T0zQX0M8odSr0R0dUM4h1H+TtqUFq2Wm/PncCK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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79605d8dd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/MINIAE_TANH_H100_DO50.shelve\n"
     ]
    },
    {
     "data": {
      "image/png": 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H5yDgYQAyFBnwC/GDz20fZCozNX14LeYaGtg1wMwuM3Hh4QW8u+9d+I3N/ZXx\n4IRgDHUbiuux1zXz1I+H7hiKu/F38UKtF7Bl2BbYW9rjwsMLmOY3Da0cW8Gjjgd23dyFrde2QkUq\nrB24Ftuvb4elmSWG7xyOk+EnYWFqATMTMwR9EoTdN3dDoVJgUPNBGPv3WNSoUgMzXp6BtnXbomP9\njlCRCtGp0ZhxZAY+6/AZGto1xL+h/2ratejkIvx18y/UtqmNhIwEfOf5HZaeXgoVqTRBeE3AGvR1\n7QvX6q6a1y09tRR/XP4DS/ssxaQOkxCTGoPhO4fDo7YHfN/yRbu67TRlBzQdANcVrjhw9wDo28J3\nriEJIYhKjcKYPWPQw7mH5mht3rF5CE6UO+b2ddsjU5EJhUqBMw/O4L2272EhFha57Rk1iH/7LdC6\nNTA8305LqQQ2bwYOHSpdvf+F/gdTYYr07HQMaDoAC04sQJYyC97+3nB3dIeZiRl8g31xZeIVXI6+\njMWnFuOdNu9g/eX1+LDdh1gXuA4v1X8J/uP80Xtjb7Sq3Qpt67ZFh/odEJIYgrTsNFQxq6LZYLMU\nWbgcfRljWo/B3ONzsaj3Iiw7swxt6rSBk50TFvdZjL239qKnS0/UrVoXrg6u+DXwV6wduBa9GvXC\nsbBj6OvaF61qt8K12GsQkMEtKC4I0/+ZDv8wfyRkJMBEmGD8vvFo7NAY2apsDHEbgvd83sOYVmOw\n+epmnAiX2fvhkMMISwrDrK6z8PGBj5GanYoaVWqgafWmWHZmmWZ4Z/3l9QhNCsWIliPgUs0F84/P\nx9zjc9G2bltNJuVSzQXt67XX9G1kSiTe83kPBML12OuaID732FwICHzd/WsIIRCeHI6kzCQ8fPwQ\n9e3qY/y+8Th49yCW9lmKtOw0hCSGYP/t/RjrMRa/B/6OmV0L3Fctj5/P/ox7ifew6JVFmOw7GT2c\nexQ4cXUn/g7+CfkHay6swRC3IVg1YBU8N3giJSsFB0YfwG+XfsOeoD3o3KAz7sTfwY7rO/BK41eg\nIhU+9/scqwasQqcGnfD1f18jJDEEANCmdhtN2+YdmwcTYYKvun8FQO7MVgesxuyus3H2wVl4uXqh\nd+Pe8H/HH+/7vI+QxBBNEN95Yyf23d6HQc0GYfuN7fDu4Y1mNZph9J7RGN1qNI6FHcPZB2cxzmMc\nPj7wMf4Y/Afmn5iPyJRIdHPuJo/6jsyCu6M7jrx9BNnKbPTc0BPzj8/H1mtbcSvuFhraNcQLtV7A\nw8cPYWt9vJ35AAAgAElEQVRhi23Xt+Ho/aPYPHQz/nfnfxj791i0cmyFF+u9iAsPL8C9ljuuxFxB\n8xrNMWr3KLz+wuvo5SJPEnq5eqFjg44AgMYOjTG+7Xg0+LEBpvtNx8T2E1HbpjaSMpPQz7Uffrn4\nC9YErEFoUihszG1gZ2mHuPQ4XP/4OpQqJZrXbA4AeLHeiwhNCsXft/7GxaiLWHF+Beb0mIP5x+fD\n3MQcKlLhxPgTOBV+CnO6z0FCRgIcbRxhZ2mH8W3Ha97n7s7dcfDuQc3FAuam5hjrMRYKlQLO1ZzR\nqUEnPEp7hIjk3C+amwgTfNz+Ywx/YTiqWVVDS8eW+DXwV6w4twLnIs/hifIJfIN9Uf9sfXRs0BEL\nei2Ag5UD9t7ei4OjD2pO3s7oMgNuNd0wsNlAzXCSWmOHxjj97ml4bfGC/31//Bb4G5SkxIt1X0Ta\nkzTM7DpTs11tu74NB+4eQOTjSMzsMhMLTy7EqgGrICAw2XcyzEzMULdqXViYWmDXm7uezyCekQEs\nXw60bAkMHCh/+1LN1xdwdJTPPa2kzCQsOLEAs7rOwoITCzDxxYl4bftrmOI7BW+4v4G/g/7GqoBV\n+KrbV7C3skeT6k0AAAt7LcT0ztNxJeYK1gWuQ0O7huji1AXO1ZzRspZsiKuDK4ITgrHk1BL81O8n\nfHroU6Q9ScOE/01A85rN0c+1H06Fn8KMLjOgUCnw9dGvsfiVxbA2t8boVqM1bXR1cEWGIgOtardC\nfbv6mufU9QsIdHPqhhPhJzDUbSji0uNwOuI0xrcZjz8v/4lrsddgKkxx/v3zcF3hikkHJ0FFKviP\n88e/of/i4wMfIy07DbVsauHo/aOY13MeNlzZgD1Be/Dn4D/hXM0ZVS2q4lTEKSw/uxzXY68jNi0W\nv1z8BTO7zMSvgb/iRNgJ+Ib4wq2mG7YM2wIA2HRlE3bc2IHDIYcByKwrJCEEK86twLbr21DLphZM\nTUxxNeYqYtNiNWXMTMxwOuI03Gu5Y/3l9QCAxScX47dLv2Hv7b04HnYcw1oMQ9MaTbHk1BKMajlK\nE/wAOS7649kf0bR6U4zZMwY+t31wMeoi3B3dcSnqEm7F3cLC3gux4twKrApYheEthmNez3kQQuDo\nuKO4HXcbfV37IjYtFnfj76Jtnbb49NCnCE8Ox8Woi7Axt0FgVCAWnVyEDUM2YPnZ5Vg3aB0UKgUm\nHZyEaS9Pg4kwwcKTC6EiFTIVmchSZsHVwRVf/fcVHKwccD32Ooa6ybHclo4t0aJWCwQnBMPTxRNL\nTy2F3z0/BMUF4UT4Cfzvzv9w65NbcLRxhFtNN1SvUh0uP7ugY/2OWP3qavx05ie8vvN13Eu8BwJh\nnMc4DGsxDC83fBmONo6a8zzO1Zyx9uJaNLRriOVnl4NAsLWwRWxaLKpaVIW7ozvWDVwHTxdPvNzw\nZbSp0wZv730bDe0bYq7nXAxqPghfdvsSDlYOCHgYgEHNBhV5BGZmYoY3XngDv1z4BWcfnMXkjpPR\nzakbWtdujWsx1xCaGIqw5DA0sGuApX2Wonej3nkyWrUuDbtgyuEpiE+PR3JWMka4j0D7eu3x1p63\nMM5jHJpUb6L5TBZlpPtI3Im/gyrmeX9v0czETHPew8rMCuHJ4ZrnIlIi8MlLn6CbczfNvKmdpmKy\n72Qs91qOWta1sPiVxQh6FITN1zZj4v8mIjYtFkPdhuYZsqxqWbXYq146N+yMzg06Y+DWgZjaaSpa\n1GqB2f/ORnhyOO4k3MHWa1vx5+A/MajZILy9923MOz4PLR1bwsHKAe+2fRcAcDD4IOws7PBdz+9g\nIkxgYWpRbH+AiMrsTy5OOnKE6KWXiNq2JXr5Zc1s8vUlqlKFaNMmKpV9t/ZRn4196EbsDaq2qBqp\nVCq6GXuTbsbepMzsTGqxsgWZzzWn+PR4zWuuRF/RPD4bcZbgDQpLCiMion6b+tEfgX8QEdGGyxuo\n7S9tyeknJ1KpVOS+yp0Gbh1I/Tf3p+sx1ykjO4OCHgUREdHeoL0Eb9C2a9sKtPG3i7+RyXcmlJGd\nkWf+vGPzqN3adtRubTua898cMptrRqvPr6afzvxE8Ab5h/qT7UJbuhp9lU6FnyIios99PyevzV50\nI/YGERElpCfQ3qC99Lnv5wRv0IT9E4iIKCUzhUISQgq0Zfrh6TT/2HxyW+lGO67voOTMZHL6yYng\nDTL9zpTsv7en3wN/pwFbBlD1xdVJeAvadWMXbb26lXpt6EXd/uhGdt/b0cT9E+niw4tkNteMOv7a\nkeANsllgQz+c+oGWnlpKY3aPoSmHphC8QfWX1Sd4g1yWu5D7Knf6wOcDare2Ha0+v5rgDfr26Lf0\n7dFv6f1971OWIotG7hpJq8+vpqvRVwneoHF/jyPrBdb05l9vkt33dgRv0Ojdo8nuezs6HHyYUjJT\nCt02MrIz6NajW7Ts9DKCN+ij/31E8AZ95/8dnX9wnuy+t6MNlzdQjz97aF7zwqoXKPBhIAXHB5PT\nT07U5pc2ZPe9HbVf157svrej7098TzWX1CTbhbYU/Tha87r5x+aT+yp3mn9sPsEbBG/Q7COzye57\nO+q9oXeBtvkF+2m2OSKiUbtGUavVrUh4C4p6HFXo+jT+uTFVX1ydIpIjKPpxNAU9CqJT4ado9pHZ\nBG/Q9MPT85RXKBVk/709+QX7FVpfSRIzEik8KZwa/tiQWq5uSb9d/I1UKhXVWFyDLOZZ0Ay/GeT0\nkxMlZyYXWcejtEcEb9CuG7voZuxNzfz7iffpcdZjndqRrczWbO9FUalUZDnPkrZc3ULDdwwn87nm\nFJoYmqeMUqXM89lXC3wYSPAGrT6/mtKfpOvUJm134+/SPyH/kEqlIiKi0MRQWnJyCdkutCV4Q9OO\nyJRIGrxtMI3ePZq6/tFV8/rY1FhKSE/IU2dO7Cw8rhb1xLP40w7ie/YQDR5MpFAQ1a9PtHmzDOx9\n+xKtXfvU/UYJ6Qn01b9f0Qy/GeR91JtUKhXdenSrQLkbsTfoUtSlIuuJS4sj87nmlK3MJiK5canf\nyLCkMII3aNSuUURE9KHPhwRvFLpBBccHE7xBJ8NOFnju2P1j5LbSrcD8rVe3aj7wW69upaYrmtKJ\nsBMUEBlAtZfWJpVKpdlJqKVmpVJMakyBuqIfRxO8QesurCtyXYmI1l9aTy7LXaj1mtaaeeFJ4fTD\nqR/oxbUvUp+NfcjkOxNae2EtBT0Kojtxd0ilUlFyZjLZLLChesvqUdTjKErMSCQioqBHQRT0KIjg\nDXpt22vUf3N/qrmkJl2PuU6xqbF06O4hGrtnLMEbFJsaSzGpMfQ46zH139yfbBfa0tg9Y8l2oS01\n/7/m5LXZi9qtbUdVF1al2NRYUqlU9MKqF2jD5Q3U5fcuJLwFWcyzoCrzq1D9ZfXpTMSZYtdV7ffA\n3wneIIVSQYeDD2s+MF8e+ZKs5lvR7COzNWU/9PmQWq1uRU4/OZHXZi+adGASvbP3HXqU9oiOhBwh\nlUpFK86uoFpLamk+tERE8enx9O3Rb8n0O1NaeW4lWS+wJoVSQUdDjxYZlLWlP0mnB8kPCrzf2qIe\nRxUa+NSJyJqANQWeuxl7M08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QjBLETTmIM8aYQZT9JYaciTPGmMGUeRB/ouRMnDHGDMU4\nwymCgzhjjBmCUa5O4UycMcYMwyjDKWb5MnEXFxcIISrEn4uLS1l3KWOsEjPUj0Lo7IkiG6Yi733E\nw8LCUNJ9zcsLvjsjY6wsGWE4JQvmwqqsF8sYYxWSEe5imAlzYVnWi2WMsQqp7MfEVZmwMOFMnDHG\nDKHsh1OUWRzEGWPMQIxwdUomzE14OIUxxgyh7IM4ZcKynGXiiYmJGDp0KGxtbdGoUSNs27bN2E1i\njDEAxrjEUJWFqqblKxP/+OOPYWVlhUePHiEwMBCvvvoq2rRpgxYtWhi7aYyxSq7MM/FsVSYsTctP\nJp6eno49e/Zg/vz5qFKlCrp06YLBgwdj06ZNxm4aY4wZIYhTJqzMyk8Qv3PnDszNzeHq6qqZ5+Hh\ngRs3bhixVYwxJpX5cEo2ZcGiFMMphvgiZGm+FJqamgo7O7s88+zs7PD48WP9G8QYY3rSKRMXQngJ\nIW4JIe4IIWYW8vxrQogrQohLQogLQoheRdVV2kycSP+/0rC1tUVKSkqeecnJyahatWrpKmSMMQMq\nMYgLIUwArATQD4A7gFFCCLd8xY4QkQcRtQUwHsC6oupTIBNVytFwSrNmzaBQKBASEqKZd+XKFbi7\nuxuxVYwxJumSiXcAcJeIwogoG8B2AIO1CxBRutakLYC4oipTUBYszcrP1SnW1tYYNmwY5syZg/T0\ndJw8eRL79+/H2LFjjd00xhjTKYjXBxChNf0gZ14eQoghQoggAAcBfFZUZQpkoop5+cnEAWDVqlVI\nT0+Ho6Mj3nrrLfzyyy98eSFj7LlgsBObRLQXwF4hRFcAmwA0L6zc47NBOBmxHd7B5+Hp6QlPT09D\nNeGZcXBwwN9//23sZjDGKgl/f3/4+/vrVFaUdB9vIUQnAN5E5JUzPQsAEdHiYl4TAqADEcXnm0/2\nU1+Gd9clmDKsi/b8CnU/8YqyLoyx50NOXCn0Gj1dhlMCADQRQjgLISwAjATgk28BrlqP2wFA/gCu\nphSZsLYoX8MpjDH2vCpxOIWIlEKISQD8IIP+70QUJISYIJ+mdQCGCyHeBvAEQBqAEUXVJ4N4+Tmx\nyRhjzzOdxsSJyBf5xriJaK3W4yUAluhSl9I0vdyd2GSMsedV2d/F0Po+bCw5iDPGmCGUeRAHAGtL\nHk5hjDFDMEoQ50ycMcYMo8yDeJ3DR1CtCt93hDHGDKHMg7hJWG+Ym5f1UhljrGIq8yD+8CHKXRBf\ntWoVXnrpJVhZWeHdd981dnMYY0yjzO8nDgBmRllq6dWvXx/ffPMNDh8+jIyMDGM3hzHGNIwSTstb\nJj5kyBAAQEBAACIjI43cGsYYy2WUq1Os+OIUxhgziLL/ebbs0g2niO/0/302+pZvTMUYq1jKPIiX\ndjycAzBjjBVklOEUxhhjhsFBXAdKpRKZmZlQKpVQKBTIysqCUqk0drMYY4yDuC7mz58Pa2trLF68\nGFu2bIG1tTUWLFhg7GYxxljJv+xj0IUJQYUtryL9Gk5FWhfG2PNB31/2YYwx9pziIM4YY+UYB3HG\nGCvHOIgzxlg5xkGcMcbKMQ7ijDFWjj0XN4V1dnaGEPrfG+V54OzsbOwmMMYqEZ2uExdCeAFYDpm5\n/05Ei/M9PxrAzJzJxwA+IqJrhdRT6HXijDHGiqbXdeJCCBMAKwH0A+AOYJQQwi1fsXsAuhORB4D5\nAH7Vr8kVn7+/v7Gb8NzgvsjFfZEX90fJdBkT7wDgLhGFEVE2gO0ABmsXIKKzRJScM3kWQH3DNrPi\n4Y0zF/dFLu6LvLg/SqZLEK8PIEJr+gGKD9LvAzikT6MYY4zpxqAnNoUQPQGMB9DVkPUyxhgrXIkn\nNoUQnQB4E5FXzvQsAFTIyc3WAHYD8CKikCLq4rOajDFWCkWd2NQlEw8A0EQI4QwgCsBIAKO0Cwgh\nnCAD+NiiAnhxjWCMMVY6JQZxIlIKISYB8EPuJYZBQogJ8mlaB+AbANUBrBbygu9sIurwLBvOGGOs\njO8nzhhjzLDK7Gv3QggvIcQtIcQdIcTMkl9RvgkhfhdCxAghrmrNcxBC+AkhbgshDgsh7LWemy2E\nuCuECBJC9DVOq58NIUQDIcR/QogbQohrQojPcuZXuv4QQlgKIc4JIS7l9MfCnPmVri8A+T0UIUSg\nEMInZ7pS9oNeiOiZ/0HuLIIBOAMwB3AZgFtZLNtYf5BX6LQBcFVr3mIAM3IezwSwKOfxCwAuQQ5v\nueT0lTD2OhiwL+oAaJPz2BbAbQBulbg/rHP+m0J+r6JLJe6LqQA2A/DJma6U/aDPX1ll4iV+Yaii\nIaKTABLzzR4MYEPO4w0AhuQ8fg3AdiJSENF9AHch+6xCIKJoIrqc8zgVQBCABqi8/ZGe89ASMsFJ\nRCXsCyFEAwADAPymNbvS9YO+yiqIP+0XhioqRyKKAWRgA+CYMz9//0SigvaPEMIF8gjlLIDalbE/\ncjBhHw4AAAGrSURBVIYQLgGIBuBPRDdROfviJwBfANA+MVcZ+0EvfCta46pUZ5WFELYAdgGYnJOR\n51//StEfRKQioraQRyPdhBCeqGR9IYR4FUBMzhFacZceV+h+MISyCuKRAJy0phvkzKtsYoQQtQFA\nCFEHQGzO/EgADbXKVbj+EUKYQQbwTUS0L2d2pe0PACCiFAAHAbRH5euLLgBeE0LcA7ANQC8hxCYA\n0ZWsH/RWVkFc84UhIYQF5BeGfMpo2cYkkDfL8AHwTs7jcQD2ac0fKYSwEEI0AtAEwPmyamQZ+QPA\nTSL6WWtepesPIURN9RUXQogqAPpAnrCrVH1BRF8SkRMRNYaMB/8R0VgA+1GJ+sEgyuoMKgAvyKsS\n7gKYZewzumWwvlsBPASQBSAc8p4yDgCO5PSDH4BqWuVnQ55xDwLQ19jtN3BfdAGghLwq6RKAwJzt\noXpl6w8ArXLW/xKAKwCm58yvdH2htX49kHt1SqXth9L+8Zd9GGOsHOMTm4wxVo5xEGeMsXKMgzhj\njJVjHMQZY6wc4yDOGGPlGAdxxhgrxziIM8ZYOcZBnDHGyrH/B29lV1rlBPanAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795e212890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MeOGG0tLVBXw3IrLZ//zMnBsRPwcuioiTgXsoTyySmfMi4iJgHrAcOG3QdCVJ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\nqGYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f796a9ad5d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/MINIAE_TANH_H100_DOmlp.shelve\n"
     ]
    },
    {
     "data": {
      "image/png": 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DC4EXEBYfhpJWJVHHrg461+qMiYcnwtbaFhc+u4ALgRfQr2E/1Heuj5DYECy9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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795c2c7cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9OGBBy3MXNuskSZI61mDvXtwvM/8YEdsDV0XEnaw40r3zRtVJkiQN0qBCV2b+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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795eee7510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve\n"
     ]
    },
    {
     "data": {
      "image/png": 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hMWEYYzgZd5Lh7e0X8ODZg8zfPZ8RHUcwculI5u2eR2JqIsPbD2fYkmEU9yyO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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f798a54de10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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09MwZ6mIMO50TOuld0DvUxRh2OsZ30HNfz1AXY1jxXmnPe6W9SZM6mT/f+6Wv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\n6OIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79601db210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_ordoned={}\n",
    "for i in glob.glob(\"scores/*DO*.bak\"):\n",
    "    #if \"MINIAE\" not in i :\n",
    "     #   continue\n",
    "    scores={}\n",
    "    print i[:-4]\n",
    "    data=shelve.open(i[:-4])\n",
    "    for key,table in data.iteritems():\n",
    "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "        if key not in scores_ordoned:\n",
    "            scores_ordoned[key]=[scores[key]]\n",
    "        else :\n",
    "            scores_ordoned[key].append(scores[key])\n",
    "            \n",
    "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][0] ],[x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][1] ])).plot()\n",
    "    data.close()\n",
    "    show_network_TRANS(scores,title=i,unite=200)\n",
    "    #except:\n",
    "    #    print \"C4EST LA MERDE\",i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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DZq4CVgLztmujJe1UDJKdSEQcDLwC+BegLzMHoIQNMLMWmw2s6ZhsbR0mSWNi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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7962573290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jB+ukrYmfqJGP3tksXKiracORs9wBfdcMt9z5bOi8PN2ygRzud6fUOGhtDlvu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\nABLJPQiCYADyFxwqhuWLhx2jAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795f579890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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B8DiavIKR7OvMjHGukCYZ70gmucxcnZl31vc/AZZQAuIU4PI62eXAqfX9ycCC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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795f5793d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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U1QHXXBMeufsr2yxyV+eHCheGyJ0xtoYxdpAxdpgx9mON7/MZY28xxnYzxmoZ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\nFq12EO5zQv4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f796883cc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "for i in glob.glob(\"real_spe_scores/*DO*.bak\"):\n",
    "    scores={}\n",
    "    data=shelve.open(i[:-4])\n",
    "    for key,table in data.iteritems():\n",
    "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "    show_network_RSPE(scores,title=i)\n",
    "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()\n",
    "    data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve.bak\r\n",
      "DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve.dat\r\n",
      "DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve.dir\r\n",
      "DECODA_AEUNFIXED_TANH_TFIDF_MODELS.shelve.bak\r\n",
      "DECODA_AEUNFIXED_TANH_TFIDF_MODELS.shelve.dat\r\n",
      "DECODA_AEUNFIXED_TANH_TFIDF_MODELS.shelve.dir\r\n"
     ]
    }
   ],
   "source": [
    "ls UNFIXED_TRANS_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UNFIXED_TRANS_scores/DECODA_AEUNFIXED_TANH_TFIDF_DO.shelve\n",
      "['TRS_AE_H1', 'TRS_AE_OUT', 'TRS_SPARSE', 'ASR_AE_OUT', 'ASR_H2_TRANSFORMED', 'ASR_SPARSE', 'ASR_TRANFORMED_OUT', 'ASR_H1_TRANSFORMED', 'ASR_W1_TRANSFORMED', 'ASR_AE_H1']\n"
     ]
    },
    {
     "data": {
      "image/png": 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F0ZWgK4kHxupLq8nngA/lHJOTuq3vlip9WEwYeUz1oDkn56Ta9izyGcXEG7+l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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79518de350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0Jdn9xN0z/QPTM/ths7PbQ3ZLkpx+2emZNXVWHjftcfftCqynHvKQFV8vDQhL\n/emfJlddlbzkJV3XqMMPX7mMhQuTX/4y2a3b5Lnmmq6L92GHJW99q14YTF6TPlyMx5FHdqFixoxk\n992Tf/7nrhvUUpttlnz5y13ouPXWiasnAExWX/vF1/K0HZ6WLR+05bJhU2pKLnjDBbnmbdfkP6/+\nz3z7qm/n9jtvz3v/6705ZvYxy6bTJeWe+fznk0c+sjs2+fjHkw9/uOsGtdTttyfvfncXOjbdtBt2\n993JLbckJ5zQdZc65pixy4aJNunDxYIFC1bopzhzZtdCMdLeeydf+lL3+oorkiuvTHbpu5NutFH3\n4/3sZ5PTT183dQaAyWDG1BmZt3jesvfX3HxNZmw+dv/gORfNWaFL1EhTHzg1z9/p+fnRtT/Kr37z\nq1z126vy+H99fB7+4YfnmpuvyR4f3yPX3XrdfbIO66PrRmyK669fsSUj6W40s88+3esZM7ouVPP6\nj+nuu7tg8ZznJE972vJ5ttsuefrTu9e77JJUddddwGQz6cPFeeedl0c9qut3uMkm3cXco0PCJZck\nz35293q77ZKdd+5CRpJ8+tPJxRcnH/nIuq03AEy0PbffM7+86Ze5+rdX5w93/yFzLpqTAx994ErT\nLb5jcb599bdz0KOXX9R4w203ZPEd3dHr7XfenrOvODtPmP6EPHa7x2bh/1qYK958Ra5885WZOXVm\nLnjDBdlus+3W2XpNdgsWdN2a7rwzOffc5E/+ZMXxO+yQnH9+9/qmm7ouTw99aPf+uOO6rtwvecmK\n8+y9d3dXzCSZP78LIa67YDLaeKIrsCZLlizJ4YcnZ52VTJmSfOpTyaWXJocemrTWXW/xvvclJ53U\n3Umhqrtd7W9+0/2YX/7y5MILux9xa90dpc48c6LXCgDuextN2SgfO+Bj2e9z+2VJW5LX7v7a7PqQ\nXXPij05MVeXQPQ5Nkpx66anZ/5H7Z9NNNl02769v+XVeeeor09KypC3JK/74FXnWI5610jIqlRbd\nokZ685u7Y5ElS5IDDujCwumnd8coL3hBd2xy3HHJa1/bTf+GN3QXdV94YXcL/Yc/vLuTVFV3TcZe\neyXPe17y/vd3t6HdZJPkiCMmdh1hVSb9rWinT39YFi26eh3UiKWmTdsxCxdeNdHVAID1zg47TM/8\n+YsmuhoblFmzpmXevIUTXY37hSFuRTvpwwUAAHDf2yCecwEAAKwfhAsAAGAQ4w4XVTWlqs6vqtP7\n91tV1VlEDYwwAAAgAElEQVRVdVlVnVlVW4yY9siquryqLqmq/e6LigMAAJPLPWm5eHOSi0e8PyLJ\nN1trj05ybpIjk6Sqdkvy0iS7JnlekhOq6l713QIAACa/cYWLqpqZ5IAknxwx+KAkJ/evT07ywv71\ngUnmtNbuaq1dleTyJHsNUlsAAGDSGm/LxYeSvCNZ4UbW01pri5KktbYwydKn58xIMn/EdAv6YQAA\nwP3YGsNFVT0/yaLW2k+SrK57k/vKAgDABmw8T+jeO8mBVXVAkk2TbF5Vn02ysKqmtdYWVdX0JNf1\n0y9IMmvE/DP7YSs5+uijl72ePXt2Zs+efY9XAAAAuOfmzp2buXPnDlrmPXqIXlXtk+TtrbUDq+r9\nSW5srR1XVe9KslVr7Yj+gu5Tkjw5XXeos5PsNPqJeR6iBwAAk8cQD9EbT8vFqhyb5ItV9ZokV6e7\nQ1RaaxdX1RfT3VnqziSHSREAAHD/d49aLgZdsJYLAACYNIZoufCEbgAAYBDCBQAAMAjhAgAAGIRw\nAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAG\nIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAA\ngEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQL\nAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI\n4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAA\nDEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwA\nAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEI\nFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIDae6Aqs\nyfTpD8uiRVdPdDU2KNOm7ZiFC6+a6GpsUKbPnJ5FCxZNdDU2KNNmTMvCaxZOdDWA+5kddpie+fPt\nz9elWbOmZd48+/PJolprE7PgqjaeZVdVkomp44arMlHfiw1VVSVHT3QtNjBHx/ccGFxV5Vvfmuha\nbFj23df+fChVldZa3ZsydIsCAAAGIVwAAACDWGO4qKoHVtUPquqCqvp5Vb23H75VVZ1VVZdV1ZlV\ntcWIeY6sqsur6pKq2u++XAEAAGByWGO4aK39Psm+rbXdk/xxkmdW1d5Jjkjyzdbao5Ocm+TIJKmq\n3ZK8NMmuSZ6X5ITqLpwAAADux8bVLaq1dlv/8oH9PL9JclCSk/vhJyd5Yf/6wCRzWmt3tdauSnJ5\nkr2GqjAAADA5jStcVNWUqrogycIkc1trFyeZ1lpblCSttYVJtusnn5Fk/ojZF/TDAACA+7FxPeei\ntbYkye5VNTXJmVU1OyvfH9Y9wAAAYAN2jx6i11q7uaq+keRJSRZV1bTW2qKqmp7kun6yBUlmjZht\nZj9sJUcfffSy17Nnz87s2bPvSXUAAIC1NHfu3MydO3fQMtf4EL2q2jbJna21xVW1aZIzkxyTZL8k\nN7XWjquqdyXZqrV2RH9B9ylJnpyuO9TZSXYa/cQ8D9GbzDxEb13zEL0JcLSHLgHD8xC9dc9D9IYz\nxEP0xtNy8dAkJ/d3fJqS5LOttXP6azC+WFWvSXJ1ujtEpbV2cVV9McnFSe5Mcti4UgQAALBeW2O4\naK1dmOSJYwy/KcmzVzHP+5K8717XDgAAWG94QjcAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQ\nLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADA\nIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUA\nADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRw\nAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAG\nIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAA\ngEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQL\nAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQG090BcZj\n//2T449PpkxJPvWp5P3vX3H81lsnn/tc8tCHJhttlHzwg8nJJyczZiSf+UwybVqyZEnyiU8kH/3o\nxKzD+uaMX56Rt5zxlixpS/La3V+bdz3tXSuM/8D3PpBTLjwllcqdS+7MJddfkhveeUO2fNCWed9/\nvS+fu/Bz2ag2yuOmPS4nHXRSHrDRAyZoTdYf+z9y/xz/3OMzpabkUxd8Ku//7opf9Lc/9e15+eNe\nnpaWTaZskl0fsmu2ff+2Wfz7xUmSSuVHh/4o19x8TQ6ac9Cy+Q7f6/Ac9qTDcteSu/Ifl/9Hjjzn\nyHW6XsDEujf788V3LM7rvva6XHTdRZlSU/LpAz+dJ898co6Ze0w+cf4nst1m2yVJ3vus9+a5j3ru\nRKzepPTDHyYf+1jSWnLAAcnLXrbi+MWLk/e+N7nxxu745KUvTZ7bb76DD04226w75tl44+Rf/mX5\nfF/9anLaad2xzlOekhx66LpbJxivaq1NzIKr2niWPWXKlPziF0vyrGcl116bnHde98O77LLl0/zd\n3yUPelBy1FHJNtt046ZNS7bdNpk+PfnpT7sf6o9/nBx00IrzMoaqPPL4R+acQ87J9ptvnz0/sWfm\nvGROdtl2lzEn//ovvp7jv398vnnIN3P1b6/Ovifvm0sPvzQP2OgB+fMv/3mev9Pzc8jjD1nHK7F+\nmTJlSn5xwy/yrM88K9fecm3Oe/15OfjLB+eyG8f+sj5/p+fnLU95S57z2ecsG/aWp7wlezx0j0x9\n4NRl4WKfHffJUU8/KgecckDubndnm023yY2337hO1mnSOzqZqP0frCtL2pLs/NGd12p/niSvOvVV\n2WfHffLq3V+du5bcldvuvC1THzg1x8w9Jps/cPO87alvW5ers16oqmy/fXeic9ttkze+sTtO2WGH\n5dOcfHLyhz8kr399FzQOOaQLDhttlPzFXyQnnphsvvmK5f7kJ8kppyTHHttNt3hxssUW63bdJqt9\n97U/H0pVpbVW96aMSd8taq+99srllyfz5iV33ZXMmdMFhJEWLlz+I9x88+5MwN13J4sWdcEiSW69\nNbnkkq41gzWYkey0zU7Zccsds8lGm+Tgxx6c0y49bZWTf+GiL+Rlj+1Oy0x94NQ8YKMH5NY/3Lrs\nD9H2m2+/rmq+3tprr71y+Y2XZ97ieblryV2Zc9GcHLTLQauc/mWPfVm+cNEXlr2fsfmMHPCoA/LJ\n8z+5wnR/9aS/yrHfOTZ3t7uTRLCADcwPF/xwrffnN//+5vzXvP/Kq3d/dZJk4ykbZ+oDpy6b1sHc\nqs2c2Z3c3Hjj5JnPTL773RXHb7VVcttt3evbbkumTu0CQ9K1dixZsnKZp53WtYAsnU6wYLKa9OFi\nxowZmT9/+ftrrlk5IHziE8ljHpMsWNCFiTe/eeVydtwxecITkh/84L6t7/3C5smsqbOWvZ05dWYW\n3LJgzElvv/P2nPHLM/Li3V6cJNlq063y9qe+PTscv0Nm/NOMbPmgLfPsRzx7nVR7fTZjxozMv3n5\nF/2am6/JjM3HTsIP2vhBee6jnpuvXPyVZcM+tP+H8o6z35GWFf/Y77zNznnGjs/If7/2v3PuIedm\nj4fucd+sADApLbh5wVrvz6/8zZXZ9sHb5tWnvTpPPPGJOfRrh+b2O29fNv3HzvtYnvCvT8jrTn9d\nFt+x+L5dkfXMQx6y4uvrr19x/J/+aXLVVclLXpK87nXJ4YcvH1eVvOMdXYvH17++fPg11yQ/+1ly\n2GHJW9+qFwaT16QPF+Nx5JFdqJgxI9l99+Sf/7nrBrXUZpslX/5yFzpuvXXi6nl/9LVffC1P2+Fp\n2fJBWyZJrvjNFfnQ9z+Uq99yda5927X53R9+l89f+PkJruX9ywt2fkG+M+87y661OGCnA7Lo1kX5\n6aKfpvr/ltp4ysbZatOt8tRPPTXv/OY788U/++JEVRuY5Ebvz+9aclfO//X5+es9/zrnv+H8PHiT\nB+fY7xybJDlsz8NyxZuuyE/e+JNM/6PpeduZukfdE5//fPLIR3bHJh//ePLhDye397ntox/thh17\nbHLqqcmFF3bD7747ueWW5IQTkje8ITnmmImrP6zOpA8XCxYsWKGf4syZXQvFSHvvnXzpS93rK65I\nrrwy2aXvTrrRRt2P97OfTU4/fd3Ueb13SzJv8bxlb1d3Fn3ORXOWNaEnyY+u/VH2nrV3tt5062w0\nZaO8aJcX5Xvzv3efV3l9t2DBguywxfIv+urOLh782INX6BK196y9c+CjD8yv3vSrfOHFX8i+D983\nJ7/w5CTdZ/fVS76apPtslrQl2XrTre/DNQEmkxlTZ6z1/nzm1JmZNXVWnrT9k5IkL9ntJTl/4flJ\nkods9pBUdScyXv/E1+e8a8+7r1ZhvXTddctfX3/9ii0ZSXLRRck++3SvZ8zoulDN6z+mbbbp/r/l\nlsnTn9516U66Mp7+9O71Lrt0LRyLNRgxCU36cHHeeeflUY/qLoTaZJPuYu7RIeGSS5Jn9z1vttsu\n2XnnLmQkyac/nVx8cfKRj6zbeq/XFiS/vOmXufq3V+cPd/8hcy6akwMffeBKky2+Y3G+ffW3c9Cj\nl18b8OhtHp3vL/h+7rjrjrTWcs6V52TXbXddl7VfL5133nl51NaPyg5b7JBNpnT9ok+/bOU0PPWB\nU7PPjvvktMuW95n+m3P/Jjsev2Me+ZFH5uCvHJxzrzw3rzz1lUmSf7/03/PMhz8zSbLT1jtlkymb\n5Kbbb1o3KwVMuD2333Ot9+fT/mhaZm0xK7+48RdJknOuOCe7bbtbkmTh7xYum+6rl3w1j93usffx\nmqxfFizorge9887k3HOTP/mTFcfvsENyfpfTctNNXZenhz40ueOO5S0Yt9/e3cTm4Q/v3u+9d3LB\nBd3r+fO7lgzXXTAZTfpb0S5ZsiSHH56cddbyW9Feeml3+7XWuust3ve+5KSTujspVCXvfGfym990\nP+aXv7xrUjz//G76o45KzjxzotdqkmvJxw74WPb73H7Lbl2460N2zYk/OjFVlUP36O59d+qlp2b/\nR+6fTTfZdNmsj5/++Bzyx4dkj4/vkY1qo+z+0N2XTc+qLVmyJId/4/Cc9ZdnLbsV7aU3XJpD9zg0\nrbV84vxPJEleuMsLc+avzswdd90xrnJP+slJ+fSBn87P3viz/P7u3+eQU921CzYkG03ZaK3350ny\nked+JC//6stz59135hFbPSInHXRSkuSdZ78zP1n4k0ypKXnYlg/LiX964jpft8nszW/ujkWWLOlu\nRbvjjt2J0arkBS/ojk2OOy557Wu76d/whu6i7l//Ovnbv+2mu/vu7sTpnnt20xxwQHcr/te8pjvZ\nesQRE7d+sDqT/la006c/LIsWXb0OasRS06btmIULr5roamxQps+cnkULFk10NTYo02ZMy8JrFq55\nQoB7YIcdpmf+fPvzdWnWrGmZN8/+fAhD3Ip20ocLAADgvrdBPOcCAABYPwgXAADAINYYLqpqZlWd\nW1U/r6oLq+pN/fCtquqsqrqsqs6sqi1GzHNkVV1eVZdU1X735QoAAACTwxqvuaiq6Ummt9Z+UlV/\nlOTHSQ5K8uokN7bW3l9V70qyVWvtiKraLckpSfZMMjPJN5PsNPoCC9dcAADA5LFOrrlorS1srf2k\nf/27JJekCw0HJTm5n+zkJC/sXx+YZE5r7a7W2lVJLk+y172pJAAAMPndo2suquphSZ6Q5PtJprXW\nFiVdAEmyXT/ZjCTzR8y2oB8GAADcj407XPRdor6c5M19C8boPk36OAEAwAZsXE/orqqN0wWLz7bW\nTusHL6qqaa21Rf11Gdf1wxckmTVi9pn9sJUcffTRy17Pnj07s2fPvkeVBwAA1s7cuXMzd+7cQcsc\n10P0quozSW5orb1txLDjktzUWjtuFRd0Pzldd6iz44JuAACY1NbJE7qrau8k/5nkwnRdn1qSo5L8\nMMkX07VSXJ3kpa213/bzHJnktUnuTNeN6qwxyhUuAABgklgn4eK+IlwAAMDksU5uRQsAADAewgUA\nADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRw\nAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAG\nIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAA\ngEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQL\nAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI\n4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAA\nDEK4AAAABiFcAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwA\nAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEI\nFwAAwCA2nugKrMn06Q/LokVXT3Q1NijTpu2YhQuvmuhqAMB6Z4cdpmf+/EUTXY0NyqxZ0zJv3sKJ\nrga9aq1NzIKr2niWXVVJJqaOG67KRH0vAGB9VlX51rcmuhYbln33jeOWgVRVWmt1b8rQLQoAABiE\ncAEAAAxijeGiqj5VVYuq6mcjhm1VVWdV1WVVdWZVbTFi3JFVdXlVXVJV+91XFQcAACaX8bRcnJRk\n/1HDjkjyzdbao5Ocm+TIJKmq3ZK8NMmuSZ6X5ITqLpoAAADu59YYLlpr30nym1GDD0pycv/65CQv\n7F8fmGROa+2u1tpVSS5PstcwVQUAACaztb3mYrvW2qIkaa0tTLJdP3xGkvkjplvQDwMAAO7nhrqg\n2/2/AABgA7e2D9FbVFXTWmuLqmp6kuv64QuSzBox3cx+2JiOPvroZa9nz56d2bNnr2V1AACAe2Lu\n3LmZO3fuoGWO6yF6VfWwJF9rrT2uf39ckptaa8dV1buSbNVaO6K/oPuUJE9O1x3q7CQ7jfW0PA/R\nm8w8RA8A1oaH6K17HqI3nCEeorfGlouq+nyS2Um2qap5Sd6d5NgkX6qq1yS5Ot0dotJau7iqvpjk\n4iR3JjlsXAkCAABY742r5eI+WbCWi0lMywUArA0tF+uelovhDNFy4QndAADAIIQLAABgEMIFAAAw\nCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBBCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEA\nAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAAYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABiFc\nAAAAgxAuAACAQQgXAADAIIQLAABgEMIFAAAwCOECAAAYhHABAAAMQrgAAAAGIVwAAACDEC4AAIBB\nCBcAAMAghAsAAGAQwgUAADAI4QIAABiEcAEAAAxCuAAAAAYhXAAAAIMQLgAAgEEIFwAAwCCECwAA\nYBDCBQAAMAjhAgAAGIRwAQAADEK4AAAABvH/27u3GKuqO47j3/8wqKiFaFVAxhkvSIx9UWOo8RIv\ngIIXMNFUkHhFwbR4RcX6oH0wjT6YxlgfxGJLrYqCWKlplFbjAyZWFBAEBNQgzCgIUTEtGJFZfVh7\nMsPNYt37nAG+n2Qye69z2+d39pk5/7PW2tviQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLi\nQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIk\nlcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4k\nSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklcLiQpIkSVIpLC4kSZIklWKPKC4uuACW\nLYPly+Huu3e8fNIkmD8f3n0XFi2CLVugTx84/vjO9vnz4auv4Oab820uuwwWL4bvvoOTT67t85Ek\nSXuvt9+Gq6+Gq66CZ5/d8fKNG2HyZLjhBrj+enjlldy+fj3ccQdce21uf+GFzts8+SSMG5dvM2lS\nvq7UHUVKqT4PHJF257EbGhpYsaKdIUPg009h3jwYPToXGjtz0UVw220wbNj2jwetrTB4MLS1waBB\n0N4Ojz8Od94JCxaU8KT2GkG99gtJkvZkEcGRR8LDD8Nhh8FNN8F990Fzc+d1pk2Db7+FG2/MhcbV\nV8OsWXn5iy9g4EDYvBkmTIAHHsi33bwZevXKt581Cz76CO66qz7Psbs591z83FKSiCClFD/mPrp9\nz8XgwYNZuRJWr869DNOnw6hRu77+mDE7/5Zg6ND8Rmxry+srVsCHH+aiQ5IkqSxNTdCvHzQ2wnnn\nwZtvbnv5IYfApk15edMm6N0bevSAQw/NhQXkQqK5ubOHoqOwAPjmmzxCQ+qOun1xMWDAANas6Vxv\nbYUBA3Z+3QMOgOHDt+1G7HDFFTsvOiRJksp0+OHbLm8/hOnii2HVKrj88jzMaeLEHe9j7dr8JeiJ\nJ3a2TZ2aP8+88gpceWUlmy79aN2+uPghLrkE5s7N3YpdNTbCyJEwY0Z9tkuSJKnDM8/AccfBzJkw\nZQo88kge9tRh82a4//5cdHTtsRg3Dp57DkaMgMceq/12S7uj2xcXbW1t24xTbGrqHNq0vdGjd947\nMWJEntS9YUM12yhJktTh8887l9ev37YnA+D99+Hss/PygAF5CNXq1Xl969ZcWAwbBmeeufP7HzJk\n13NPpXrr9sXFvHnzGDgwjzvs2TMXELNn73i93r3zG/Wll3a8bFfzMDo470KSJJWlrS0Pa9qyBV5/\nHU4/fdvLm5vzUSwhT+BubYX+/fP6Qw9BS0seMrX9fXaYO7dzbobU3TTWewP+l/b2diZOhDlzoKEh\njzf84AMYPx5SgieeyNe79FJ49dU8yamrXr3yZO7x47dtHzUKHn00H8nh5Zdh4UK48MLaPCdJkrT3\nuvXWfOj89vb82aKlJX8xGpGHcI8dm4uIcePy9SdMyF+SLl4Mr70GxxyTjyQVkedkDB6ch0+1tubP\nQv37w+231/c5SrvS7Q9F26/f0axb90kNtkgd+vZtYe3aVfXeDEmS9jjNzf1Ys2ZdvTdjn3LUUX1Z\nvXptvTdjr1DGoWi7fXEhSZIkqXr7xHkuJEmSJO0ZLC4kSZIklaKy4iIihkfEBxGxIiImV/U4kiRJ\nkrqHSoqLiGgAfg9cAPwMGBMRJ1TxWNp9b7zxRr03YZ9j5rVn5rVn5rVn5rVn5rVn5numqnouBgMr\nU0qfpJS2ANOBURU9lnaTb9LaM/PaM/PaM/PaM/PaM/PaM/M9U1XFxQBgTZf11qJNkiRJ0l7KCd2S\nJEmSSlHJeS4i4jTgNyml4cX6PUBKKT3U5Tqe5EKSJEnqRrrlSfQiogewHBgCfAa8DYxJKS0r/cEk\nSZIkdQuNVdxpSmlrREwE5pCHXk21sJAkSZL2bpX0XEiSJEna99RlQrcn2KtGREyNiHURsahL2yER\nMScilkfEqxHRp8tlv46IlRGxLCLOr89W79kioikiXo+IJRGxOCJuKdrNvQIRsX9E/CsiFhSZ/7Zo\nN++KRURDRMyPiNnFuplXLCJWRcR7xf7+dtFm7hWKiD4RMaPIcElE/NzMqxMRg4r9e37xe2NE3GLm\n1SnyWxIRiyLi6YjYr/S8U0o1/SEXNB8CLUBPYCFwQq23Y2/8Ac4ETgIWdWl7CLi7WJ4MPFgsnwgs\nIA+NO7p4TaLez2FP+wH6AScVyweT5xqdYO6VZn5g8bsH8BZwhnnXJPfbgb8As4t1M68+84+BQ7Zr\nM/dqM/8TcF2x3Aj0MfOaZd8AfAocZeaVZdxS/F3Zr1h/Drim7Lzr0XPhCfYqklKaC3y5XfMoYFqx\nPA24tFgeCUxPKX2XUloFrCS/NvoBUkprU0oLi+V/A8uAJsy9MimlTcXi/uR/Rl9i3pWKiCbgQuAP\nXZrNvHrBjiMMzL0iEdEbOCul9EeAIsuNmHmtDAU+Simtwcyr8jXwLXBQRDQCvYA2Ss67HsWFJ9ir\nrSNSSusgfxAGjijat38d2vB1+FEi4mhyz9FbQF9zr0YxPGcBsBZ4I6W0FPOu2u+Au4Cuk/TMvHoJ\n+EdEzIuIG4o2c6/OMcCGiPhjMUxnSkQciJnXyhXAM8WymVcgpfQl8DCwmpzdxpTSPyk5b0+it+9x\nBn8FIuJgYCZwa9GDsX3O5l6SlFJ7Sulkcg/RWRFxDuZdmYi4CFhX9NB937HPzbx8Z6SUTiH3Gv0q\nIhYlRoQAAAIrSURBVM7Cfb1KjcApwGNF7v8B7sHMKxcRPcnfks8omsy8AhFxLHmIawtwJLkHYywl\n512P4qINaO6y3lS0qRrrIqIvQET0Az4v2tvI4xo7+Dr8n4quxZnAUymll4pmc69YSulr4O/AqZh3\nlc4ARkbEx8CzwHkR8RSw1syrlVL6rPi9HvgreTiC+3p1WoE1KaV3ivUXyMWGmVdvBPBuSmlDsW7m\n1TgVeDOl9EVKaSvwInA6Jeddj+JiHjAwIloiYj9gNDC7Dtuxtwq2/XZxNnBtsXwN8FKX9tHFUQKO\nAQaST3aoH+5JYGlK6ZEubeZegYg4rOMoFhHRCxhGnmxm3hVJKd2bUmpOKR1L/nv9ekrpKuBvmHll\nIuLAokeUiDgIOB9YjPt6ZYphIWsiYlDRNARYgpnXwhjylxcdzLway4HTIuKAiAjyPr6UkvOu5CR6\n3yd5gr3KRMQzwDnATyNiNXA/8CAwIyKuBz4BfgGQUloaEc+Td6otwC9TcWgA7b6IOAMYCywu5gEk\n4F7ykReeN/fS9QemFX8UG8i9Ra8V2Zt3bT2ImVepL/BiRCTy/+qnU0pzIuIdzL1KtwBPF8N0Pgau\nIx+ZzswrUsxrGQqM79Ls/9AKpJTei4g/A+8CW8lfzk0BfkKJeXsSPUmSJEmlcEK3JEmSpFJYXEiS\nJEkqhcWFJEmSpFJYXEiSJEkqhcWFJEmSpFJYXEiSJEkqhcWFJEmSpFJYXEiSJEkqxX8BF/V6HfAd\nFHEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79650b2d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_ordoned={}\n",
    "for i in glob.glob(\"UNFIXED_TRANS_scores/*DO*.bak\"):\n",
    "    scores={}\n",
    "    print i[:-4]\n",
    "    data=shelve.open(i[:-4])\n",
    "    print data.keys()\n",
    "    for key,table in data.iteritems():\n",
    "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "        if key not in scores_ordoned:\n",
    "            scores_ordoned[key]=[scores[key]]\n",
    "        else :\n",
    "            scores_ordoned[key].append(scores[key])\n",
    "            \n",
    "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_W1_TRANSFORMED\"][0] ],[x[0] for x in data[\"ASR_W1_TRANSFORMED\"][1] ])).plot()\n",
    "    data.close()\n",
    "    show_network_UNFIXED(scores,title=i,unite=200)\n",
    "    #except:\n",
    "    #    print \"C4EST LA MERDE\",i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# Ci dessous  Mes tests rien de super interessant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pred_train=data[\"TRS_AE_H2\"][2].pred_train\n",
    "y_pred_train=np.argmax(pred_train,axis=1)\n",
    "\n",
    "pred_dev=data[\"TRS_AE_H2\"][2].pred_dev\n",
    "y_pred_dev=np.argmax(pred_dev,axis=1)\n",
    "\n",
    "pred_test=data[\"TRS_AE_H2\"][2].pred_test\n",
    "y_pred_test=np.argmax(pred_test,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "[0,1,2]*3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corps=shelve.open(\"models/DECODA_AE_TANH_MINIBIN.shelve\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y_train=corps[\"LABEL\"][\"TRAIN\"].apply(utils.select).values\n",
    "y_dev=corps[\"LABEL\"][\"DEV\"].apply(utils.select).values\n",
    "y_test=corps[\"LABEL\"][\"TEST\"].apply(utils.select).values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y_pred_train+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "precision_recall_fscore_support(y_train,y_pred_train+1,average=\"micro\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "precision_recall_fscore_support(y_dev,y_pred_dev+1,average=\"micro\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "precision_recall_fscore_support(y_test,y_pred_test+1,average=\"micro\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data=shelve.open(\"scores/DECODA_AE_TANH_MINIBIN.shelve\")\n",
    "#data.close()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data=shelve.open(\"./scores/DECODA_MINIAE_TANH.shelve\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6dZIkSesJ70gvSZJUgKFLkiSpAEOXJElSAYYuSZKkAgxdkiRJBRi6JEmSCjB0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7966f3cb90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores={}\n",
    "#del scores_ordoned\n",
    "for key,table in data.iteritems():\n",
    "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "   # if key not in scores_ordoned:\n",
    "   #     scores_ordoned[key]=[scores[key]]\n",
    "   # else :\n",
    "   #     scores_ordoned[key].append(scores[key])\n",
    "#data.close()\n",
    "show_network_TRANS(scores,title=i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7968041f10>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7BoCT2p3E6R1P508X/Kmk7d78vfR9si9r71gbxdvw389n/Zx+7ftxTZ9rymyP/L/NPZTL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\nIiIBpiQuIhJg/x8BfgCfnnzDaQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7965dfab10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "histo=data[\"ASR_AE_H1\"][3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corps=data=shelve.open(\"./models/DECODA_MINIAE_TANH.shelve\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>40</th>\n",
       "      <th>41</th>\n",
       "      <th>42</th>\n",
       "      <th>43</th>\n",
       "      <th>44</th>\n",
       "      <th>45</th>\n",
       "      <th>46</th>\n",
       "      <th>47</th>\n",
       "      <th>48</th>\n",
       "      <th>49</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "      <td>740.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.000490</td>\n",
       "      <td>0.003229</td>\n",
       "      <td>0.000185</td>\n",
       "      <td>-0.003558</td>\n",
       "      <td>-0.000550</td>\n",
       "      <td>0.004855</td>\n",
       "      <td>-0.000353</td>\n",
       "      <td>-0.004828</td>\n",
       "      <td>0.000823</td>\n",
       "      <td>-0.004653</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002893</td>\n",
       "      <td>0.001393</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>-0.000325</td>\n",
       "      <td>-0.000867</td>\n",
       "      <td>-0.001082</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>-0.005450</td>\n",
       "      <td>0.006736</td>\n",
       "      <td>0.001526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.078052</td>\n",
       "      <td>0.076671</td>\n",
       "      <td>0.080473</td>\n",
       "      <td>0.080584</td>\n",
       "      <td>0.080445</td>\n",
       "      <td>0.083181</td>\n",
       "      <td>0.080656</td>\n",
       "      <td>0.080346</td>\n",
       "      <td>0.078400</td>\n",
       "      <td>0.084584</td>\n",
       "      <td>...</td>\n",
       "      <td>0.075171</td>\n",
       "      <td>0.082434</td>\n",
       "      <td>0.076875</td>\n",
       "      <td>0.078159</td>\n",
       "      <td>0.081996</td>\n",
       "      <td>0.080196</td>\n",
       "      <td>0.084964</td>\n",
       "      <td>0.083766</td>\n",
       "      <td>0.081879</td>\n",
       "      <td>0.081213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-0.222832</td>\n",
       "      <td>-0.210684</td>\n",
       "      <td>-0.203158</td>\n",
       "      <td>-0.220618</td>\n",
       "      <td>-0.251787</td>\n",
       "      <td>-0.245800</td>\n",
       "      <td>-0.319214</td>\n",
       "      <td>-0.257791</td>\n",
       "      <td>-0.256614</td>\n",
       "      <td>-0.269018</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.205919</td>\n",
       "      <td>-0.272927</td>\n",
       "      <td>-0.216589</td>\n",
       "      <td>-0.232542</td>\n",
       "      <td>-0.239660</td>\n",
       "      <td>-0.215522</td>\n",
       "      <td>-0.237121</td>\n",
       "      <td>-0.217695</td>\n",
       "      <td>-0.253268</td>\n",
       "      <td>-0.216798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-0.049280</td>\n",
       "      <td>-0.051630</td>\n",
       "      <td>-0.055798</td>\n",
       "      <td>-0.060583</td>\n",
       "      <td>-0.053978</td>\n",
       "      <td>-0.050834</td>\n",
       "      <td>-0.055398</td>\n",
       "      <td>-0.058382</td>\n",
       "      <td>-0.045658</td>\n",
       "      <td>-0.061431</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052172</td>\n",
       "      <td>-0.051161</td>\n",
       "      <td>-0.054269</td>\n",
       "      <td>-0.053610</td>\n",
       "      <td>-0.054938</td>\n",
       "      <td>-0.056238</td>\n",
       "      <td>-0.066248</td>\n",
       "      <td>-0.068832</td>\n",
       "      <td>-0.048655</td>\n",
       "      <td>-0.054703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-0.003148</td>\n",
       "      <td>-0.002347</td>\n",
       "      <td>0.003714</td>\n",
       "      <td>-0.000112</td>\n",
       "      <td>-0.003216</td>\n",
       "      <td>0.007316</td>\n",
       "      <td>-0.000941</td>\n",
       "      <td>-0.004883</td>\n",
       "      <td>0.007292</td>\n",
       "      <td>-0.004308</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004255</td>\n",
       "      <td>0.000609</td>\n",
       "      <td>-0.001102</td>\n",
       "      <td>-0.001316</td>\n",
       "      <td>-0.002811</td>\n",
       "      <td>0.000356</td>\n",
       "      <td>-0.000773</td>\n",
       "      <td>-0.008352</td>\n",
       "      <td>0.006316</td>\n",
       "      <td>-0.005236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.053316</td>\n",
       "      <td>0.051167</td>\n",
       "      <td>0.051243</td>\n",
       "      <td>0.054151</td>\n",
       "      <td>0.044473</td>\n",
       "      <td>0.058679</td>\n",
       "      <td>0.054497</td>\n",
       "      <td>0.044757</td>\n",
       "      <td>0.052775</td>\n",
       "      <td>0.050786</td>\n",
       "      <td>...</td>\n",
       "      <td>0.044183</td>\n",
       "      <td>0.056505</td>\n",
       "      <td>0.054361</td>\n",
       "      <td>0.052624</td>\n",
       "      <td>0.049942</td>\n",
       "      <td>0.053420</td>\n",
       "      <td>0.056256</td>\n",
       "      <td>0.049547</td>\n",
       "      <td>0.060626</td>\n",
       "      <td>0.050734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.202271</td>\n",
       "      <td>0.241509</td>\n",
       "      <td>0.310983</td>\n",
       "      <td>0.215986</td>\n",
       "      <td>0.279413</td>\n",
       "      <td>0.259838</td>\n",
       "      <td>0.224492</td>\n",
       "      <td>0.234719</td>\n",
       "      <td>0.283880</td>\n",
       "      <td>0.251888</td>\n",
       "      <td>...</td>\n",
       "      <td>0.229372</td>\n",
       "      <td>0.252486</td>\n",
       "      <td>0.237473</td>\n",
       "      <td>0.236919</td>\n",
       "      <td>0.300617</td>\n",
       "      <td>0.227033</td>\n",
       "      <td>0.250967</td>\n",
       "      <td>0.276590</td>\n",
       "      <td>0.261683</td>\n",
       "      <td>0.316733</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               0           1           2           3           4           5   \\\n",
       "count  740.000000  740.000000  740.000000  740.000000  740.000000  740.000000   \n",
       "mean     0.000490    0.003229    0.000185   -0.003558   -0.000550    0.004855   \n",
       "std      0.078052    0.076671    0.080473    0.080584    0.080445    0.083181   \n",
       "min     -0.222832   -0.210684   -0.203158   -0.220618   -0.251787   -0.245800   \n",
       "25%     -0.049280   -0.051630   -0.055798   -0.060583   -0.053978   -0.050834   \n",
       "50%     -0.003148   -0.002347    0.003714   -0.000112   -0.003216    0.007316   \n",
       "75%      0.053316    0.051167    0.051243    0.054151    0.044473    0.058679   \n",
       "max      0.202271    0.241509    0.310983    0.215986    0.279413    0.259838   \n",
       "\n",
       "               6           7           8           9      ...              40  \\\n",
       "count  740.000000  740.000000  740.000000  740.000000     ...      740.000000   \n",
       "mean    -0.000353   -0.004828    0.000823   -0.004653     ...       -0.002893   \n",
       "std      0.080656    0.080346    0.078400    0.084584     ...        0.075171   \n",
       "min     -0.319214   -0.257791   -0.256614   -0.269018     ...       -0.205919   \n",
       "25%     -0.055398   -0.058382   -0.045658   -0.061431     ...       -0.052172   \n",
       "50%     -0.000941   -0.004883    0.007292   -0.004308     ...       -0.004255   \n",
       "75%      0.054497    0.044757    0.052775    0.050786     ...        0.044183   \n",
       "max      0.224492    0.234719    0.283880    0.251888     ...        0.229372   \n",
       "\n",
       "               41          42          43          44          45          46  \\\n",
       "count  740.000000  740.000000  740.000000  740.000000  740.000000  740.000000   \n",
       "mean     0.001393    0.000034   -0.000325   -0.000867   -0.001082   -0.004496   \n",
       "std      0.082434    0.076875    0.078159    0.081996    0.080196    0.084964   \n",
       "min     -0.272927   -0.216589   -0.232542   -0.239660   -0.215522   -0.237121   \n",
       "25%     -0.051161   -0.054269   -0.053610   -0.054938   -0.056238   -0.066248   \n",
       "50%      0.000609   -0.001102   -0.001316   -0.002811    0.000356   -0.000773   \n",
       "75%      0.056505    0.054361    0.052624    0.049942    0.053420    0.056256   \n",
       "max      0.252486    0.237473    0.236919    0.300617    0.227033    0.250967   \n",
       "\n",
       "               47          48          49  \n",
       "count  740.000000  740.000000  740.000000  \n",
       "mean    -0.005450    0.006736    0.001526  \n",
       "std      0.083766    0.081879    0.081213  \n",
       "min     -0.217695   -0.253268   -0.216798  \n",
       "25%     -0.068832   -0.048655   -0.054703  \n",
       "50%     -0.008352    0.006316   -0.005236  \n",
       "75%      0.049547    0.060626    0.050734  \n",
       "max      0.276590    0.261683    0.316733  \n",
       "\n",
       "[8 rows x 50 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pandas.DataFrame(corps[\"ASR_AE_H1\"][\"TRAIN\"]).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corps.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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Tnzjcf9ppyZ/8yRBszLTKbLzOqip3Z4itC5M8JsnTkpyVIcLW+/MkP0vyziQ/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\ngegCAOhAdAEAdPD/A3/Pztj3soiSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7968a860d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ZNGwT9SvWZ/ep3QRPCmbJg0s4ePYgH6z6gM2Pb85e1sGzBynlUYo3l72Jv48/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\nGsSVUsqFaRBXSikX9v9GJVy78s6pUwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7964811fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data=shelve.open(\"./scores/DECODA_MINIAE_TANH_TFIDF_H30.shelve\")\n",
    "scores={}\n",
    "#del scores_ordoned\n",
    "for key,table in data.iteritems():\n",
    "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "   # if key not in scores_ordoned:\n",
    "   #     scores_ordoned[key]=[scores[key]]\n",
    "   # else :\n",
    "   #     scores_ordoned[key].append(scores[key])\n",
    "#data.close()\n",
    "show_network_TRANS(scores)\n",
    "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()\n",
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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GNyb3vW9y6qnJfvsNr01MJOvXJ3vskdxyS7LLLskXv5i87nXJl740bO/CC5PW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\n1XxXge3g/I0v5268OX87t7l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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7959a247d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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QqV3btrSqVrXvlS1rv1jHj4vcfbf9uZmYaPMbN84eWNK33fvvi3TrZtNHR9t5t91mu2my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\nEaZBXCmlijAN4kopVYRpEFdKqSLs/wG1uJNL8RfZnwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795cb007d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data=shelve.open(\"./scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve\")\n",
    "scores={}\n",
    "#del scores_ordoned\n",
    "for key,table in data.iteritems():\n",
    "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "   # if key not in scores_ordoned:\n",
    "   #     scores_ordoned[key]=[scores[key]]\n",
    "   # else :\n",
    "   #     scores_ordoned[key].append(scores[key])\n",
    "#data.close()\n",
    "show_network_TRANS(scores)\n",
    "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()\n",
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.1998101 ,  0.12073141,  0.10901488, ...,  0.25165449,\n",
       "        0.07732746,  0.08457387])"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shelve.open(\"./Sparse_mat_tfidf.shelve\")[\"ASR\"][\"TRAIN\"].data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data=shelve.open(\"./real_spe_scores/REAL_SPE_1060_TFIDF.shelve\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dwAl9GPKrwOeByjcd9Rj3ROAZSbeVhzY3Szqmv2NHxHPATcA2oBN4ISKW1mnO\nACccYJyer2cn/Xs9LwV+0p+xU3z4IulY4AfAlRHxO/YNkV6uH2q884GuiFgFHOycaV/eZbcA7wO+\nERHvA16i2CP1d85vozhcmgC8BRgh6a/7O+5B1P0Mg6S/B3ZFxF39GWcwou4EKn7ZAa3luj6R1EIR\n9B0RcX+5ukvSmPL2scDTNQ57JnCBpM3AXcCHJN0B7OznuFB8Z9oeEf9ZXr+HIvL+zvk04NGIeDYi\nXgV+CJxRh3H3OtA4ncBbK7br0+sp6WPAh4G/qljdp7EHI+rHgUmSJkg6CphFcfzXV98G1kXE/6xY\ntwj4WLk8G7i/550OJiKujYjxEfG2cn4PRcQlwI/6M245dhewXdJJ5aqzgSf6O2eKN8mnSxouSeW4\n6/oxrtj3u9SBxlkEzCrPtJwITKL4sK3qsSVNozjUuyAi/tjjMWsde3B+RQIwjeJF6ADm9mOcM4FX\nKc6grARWlGO/AVhaPsYS4PX9eIyz6H6jWJdxgfdQfHGvAu6lOPvR77HLMJ4A1gALKM4u1Twu8D3g\n18AfKY7RP07xBrTXcYB5FGcm1gPn9mHsDmBr+fqtAL7Zl7H3Xvzhi6WT4o2iWSVHbek4akvHUVs6\njtrScdSWjqO2dBy1pfP/ARY+jY+DVQ54AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7957629e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795be7b150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores={}\n",
    "#del scores_ordoned\n",
    "for key,table in data.iteritems():\n",
    "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "   # if key not in scores_ordoned:\n",
    "   #     scores_ordoned[key]=[scores[key]]\n",
    "   # else :\n",
    "   #     scores_ordoned[key].append(scores[key])\n",
    "#data.close()\n",
    "show_network_RSPE(scores)pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()\n",
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ASR', 'TRS_AE_OUT', 'ASR_AE_OUT', 'TRS', 'ASR_AE_H2', 'ASR_AE_H1']"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Zjz+euffeL12+aFHmhg2ZP/hB5ne+k3n99d0+kjUTT2N/nQdf626/N4eeZsS/CjF37oEM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\nRiQVGZFUZERS0f8HCCKkAcjDk6gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7989b39d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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biwTwfnKPsXIPbMvMXz+fRZctouj2Ipb8cAlprdIY0X0EBXsKQlYGtbaWj3d9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\n/AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79595c9410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data=shelve.open(\"./real_spe_scores/DECODA_MINIAE_REAL_SPE_H50.shelve\")\n",
    "scores={}\n",
    "#del scores_ordoned\n",
    "for key,table in data.iteritems():\n",
    "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "   # if key not in scores_ordoned:\n",
    "   #     scores_ordoned[key]=[scores[key]]\n",
    "   # else :\n",
    "   #     scores_ordoned[key].append(scores[key])\n",
    "#data.close()\n",
    "show_network_RSPE(scores,title=\"DECODA_MINIAE_REAL_SPE_H50\")\n",
    "pandas.DataFrame(zip([x[0] for x in data[\"ASR_AE_H1\"][0] ],[x[0] for x in data[\"ASR_AE_H1\"][1] ])).plot()\n",
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data=shelve.open(\"./scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['TRS_AE_H1',\n",
       " 'TRS_AE_OUT',\n",
       " 'TRS_SPARSE',\n",
       " 'ASR_H1_TRANFORMED_TRSH1',\n",
       " 'ASR_AE_OUT',\n",
       " 'ASR_H2_TRANFORMED_OUT',\n",
       " 'ASR_SPARSE',\n",
       " 'ASR_H1_TRANSFORMED_W1',\n",
       " 'ASR_AE_H1']"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/DECODA_MINIAE_TANH_H50_DO.shelve\n"
     ]
    },
    {
     "data": {
      "image/png": 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x9epWJKcn43Twacw8OhMA8Pdbf6Pp0qZ4q8Vb0Gj1g4rdndxx4t4JzO46G18d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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795883e850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ph5XM/JsOnfcfKAPNJW0ABg1dwOsoc5T0zQX0M8odSr0R0dUM4h1H+TtqUFq2Wm/PncCK\nt/bTHMeQJkmSNhiZuVZ/HmwoY7rmUO6AeV5EBOXPQsyizFZ9dLPPe1n+50JmAlOaOxy3B3ak3Am0\nksz0q9/XZz/72Y6XYTh+WS/Wi3VivVgv1ksnv9aFQVu6MvOmiPgB5Xbbp4EbgG9TuirOi/I3rOZT\nJj0kM2dFxHmUYLYUOD7XVWklSZI2UEPpXiTLPEL952F5kDL/ULv9v0CZ6VeSJEk4I/2w093d3eki\nDEvWS3vWy8qsk/asl/asl/asl/Vj0MlR19uJI+x1lCRJG4SIICsMpJckSdJaMnRJkiRVYOiSJEmq\nwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGh\nS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ck\nSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKk\nCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUY\nuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJ\nkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKhjd6QK0M27cdvT2\nzu90MYadrq7JLF48r9PFkKQRYdKkcSxc2NvpYgw7Eyd2sWDB4k4XY4MUmdmZE0fkQOeOCKAz5Rre\ngk59vyRppIkIrryy06UYfvbaixH5XhQRZGaszTEG7V6MiJ0j4oaIuL75f0lEfDQixkbEpRExJyIu\niYjNWp5zSkTMjYjZEbH/2hRQkiTp2WDQ0JWZt2XmqzPzNcBrgb8APwNOBi7PzJcAVwCnAETErsAR\nwC7AQcAZUZquJEmSRqzVHUi/L/CnzFwIHAZMb9ZPBw5vlg8FZmTmU5k5D5gL7LYOyipJkrTBWt3Q\ndSRwTrPclZm9AJm5GNimWT8eWNjynEXNOkmSpBFryKErIjamtGKd36zqP4pu5I2qkyRJGqLVmTLi\nIOC6zLy/edwbEV2Z2RsR44B7m/WLgIktz5vQrFvJtGnTnlnu7u6mu7t7NYojSZK0fvT09NDT07NO\njznkKSMi4lzg4syc3jw+FXgwM0+NiJOAsZl5cjOQ/mxgd0q34mXATv3nh3DKiDXhlBGSVItTRrTn\nlBFrbkgtXRHxfMog+uNaVp8KnBcRxwDzKXcskpmzIuI8YBawFDh+wHQlSZI0Qjg56gbFli5JqsWW\nrvZs6Vpz/u1FSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG\nLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S\nJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS\nKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg\n6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl\nSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKhjd6QKsygEHwNe+BqNGwVlnwZe+tOL2\nT34S3v1uyISNN4ZddoGttoIlS+CjH4Vjjy37nXkmnH56WX7d6+Ab3yj7L10Kxx8P111X93VJklbt\n4tsv5uMXf5xluYz3v/r9nLTnSSts/7f//jfOvvlsgmDpsqXMvm829594P5s/b3MAluUyXvft1zFh\nzARmHjXzmeed/rvTOeP3ZzB61GjestNb+OK+X1xlOa65Br7+9fI+c/DBcNRRK25fsgQ+/3l44AFY\ntgyOOAIOPLBsmzIFXvCC8h42ejR885tl/Xe/C1dfDRGw2WZw8smw9dZrV1/aMERmdubEETnQuSOC\niOS222CffeDuu+Haa8sFPGdO++O95S3w8Y/DfvvBrrvCuefC618PTz0FF18MH/wg3HknXHEFfOEL\ncNll5QfjxBNh773X4wtdp4JOfb8kqZZluYydT9+ZX039Fdtuui2vP/P1zHjnDF661Uvb7v/L237J\n1377NS6fevkz6776m69y3T3X8chfH3kmdPXM6+Hz//V5Lnr3RYweNZr7H7ufrZ6/1YDliAi23Ra+\n8pXygf5DH4LPfAYmTVq+z/Tp8OST8IEPlAA2dSr89Kew0UbwrnfBt74Fm2664nEffxw22aQs//Sn\n8Kc/wQknrFlddcJeezEi34sigsyMtTnGsO1e3G03mDsXFiwowWnGDDjssIH3P+qoErSgtHj97nfl\nB2HZMvj1r+Htby/b7rmnfLIA2HxzWLRo/b4OSdLquWbRNey05U5M3nwyG2+0MVP+ZgoX3nrhgPuf\ne8u5HPU3y5ug7nrkLi66/SKOfc2xK+z3zd9/k5P3PJnRo0onz6oCV58JE2DcuNJStffepYWq1dix\n8NhjZfmxx2DMmBK4oLSOLVu28jH7AhfAE08sf0/Ss9+wDV3jx8PChcsf33VXWdfO855XWq0uuKA8\nvuUWeNObSqjaZJPSJDxxYtl28snw7/8O8+eX7spTTlm/r0OStHoWPbKIiWMmPvN4wpgJLPpz+0/I\njy99nItvv5h37PqOZ9Z94pJP8OX9vkywYqPEbQ/cxn/O/0/e8J03sNf0vfj93b8ftCyt3X5bbw33\n3bfi9kMOgXnz4J3vLENaPvKR5dsiSgvWhz4Ev/zlis876yw48sjSE/Oudw1aDD1LDNvQtTre+la4\n6qrStAulC/LUU0sX4kUXwQ03wNNPl21nnQX/+I8weTJ84hOlb12StGH6xW2/YM9Jez4zlus/bvsP\nul7QxavGvYps/vV5atlTPPT4Q/z22N/ypX2/xBHnH7HW5z/nHHjxi+EnP4FvfxtOO610H0IZS/zt\nb8MXvwg//zncfPPy573//fDjH8NBB5VxxhoZhm3oWrRoxX7zCRMG7gqcMmV512Kf73+/jOnaay94\n+GG47bayfvfd4cKmlfqCC0o3piRp+Bg/ZjwLlix45vFdj9zF+E3bd3XMuGXGCl2LVy+8mplzZrLD\naTtw1AVHceWdVzL1Z1OB0mL29l3KWJPXj389o2IUDzz2wCrLcu+9y5fvu2/lAe+33AJvfnNT7vGl\nK3JBU/Qttyz/b7556X2ZPXvl4++zz8BjlfXsM2xD17XXwo47luC18cYlWM2cufJ+Y8aUC/7Cft39\nWzVd9RMnwtveVj6NQBkn9rd/W5b33nt5GJMkDQ+v3/b13P7g7cx/eD5PPv0kM26ZwaEvOXSl/ZY8\nsYRfz/81h71k+YDfz+/zeRZ8YgF3fOwOZrxjBntvvzc/eNsPAHjbS9/GFXdeAZSuxqXLlrLl87dc\nZVkWLYLFi8vd7ldcAW9844rbJ02C668vyw8+WIbCvOhFZaxWX4vX44+X97Ttt19+zD5XXVXe6zQy\nDMspI7q6JtPbG3zkIwdw6aWnMWrUKM466yxuvfVUjjvuODKTM888E4DDD5/KJZccwBNPvHuFY1xw\nwa/ZYostWLp0Kccf/wn+/OdfA/DBD76Wb3zjGzznOc/hiSee4LjjjgdurP0S10hX1+ROF0GS1ruN\nRm3E1w/+Ovv/aP9npozYZetd+Nbvv0VEcNxrjwPg57f+nANefACbbLzJIEcs3veq93HMzGN4+Tdf\nznM3ei4/OPwHq9x/4sQuFi7sXWGaiKOPbr/v97+/fHmgm75OPHHgc1122SqLMqxMnNjV6SJssIbl\nlBGSJEnDybN6yghJkqRnkyGFrojYLCLOj4jZEfHHiNg9IsZGxKURMSciLomIzVr2PyUi5jb777/+\nii9JkrRhGGpL12nARZm5C/BK4FbgZODyzHwJcAVwCkBE7AocAewCHAScERFr1RwnSZK0oRs0dEXE\nGOBNmfk9gMx8KjOXAIcB05vdpgOHN8uHAjOa/eYBcwEnZpAkSSPaUFq6tgfuj4jvRcT1EfHtiHg+\n0JWZvQCZuRjYptl/PNAylzyLmnWSJEkj1lCmjBgNvAb4cGb+PiK+Sula7H/r4Wrfijht2rRnlru7\nu+nu7l7dQ0iSJK1zPT099PT0rNNjDjplRER0Ab/JzB2ax3tSQteLge7M7I2IccCVmblLRJwMZGae\n2ux/MfDZzPxdv+M6ZYQkSdogVJkyoulCXBgROzer9gH+CMwEjm7WvRfomxN+JjAlIp4TEdsDOwLX\nrE0hJUmSNnRDnZH+o8DZEbExcAfwPmAj4LyIOAaYT7ljkcycFRHnAbOApcDxNmlJkqSRzhnpJUmS\nBuGM9JIkSRsIQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSp\nAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWG\nLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2S\nJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmS\nKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg\n6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl\nSZJUgaFLkiSpAkOXJElSBaM7XYB2xo3bjt7e+Z0uxrDT1TWZxYvndboYw864CePoXdTb6WIMO13j\nu1h81+JOF2NY8Vppz2ulvUmTxrFwoddLfxMndrFggdfLmojM7MyJI3Kgc0cE0JlyDW9Bp75fw1lE\nwLROl2IYmobXSz9eKwOY5rXSTkRw5ZWdLsXws9deI/N6iQgyM9bmGEPqXoyIeRFxU0TcEBHXNOvG\nRsSlETEnIi6JiM1a9j8lIuZGxOyI2H9tCihJkvRsMNQxXcuA7sx8dWbu1qw7Gbg8M18CXAGcAhAR\nuwJHALsABwFnRGm6kiRJGrGGGrqizb6HAdOb5enA4c3yocCMzHwqM+cBc4HdkCRJGsGGGroSuCwi\nro2IY5t1XZnZC5CZi4FtmvXjgYUtz13UrJMkSRqxhnr34h6ZeU9EbA1cGhFzWHmk+8gbVSdJkjRE\nQwpdmXlP8/99EfFzSndhb0R0ZWZvRIwD7m12XwRMbHn6hGbdSqZNm/bMcnd3N93d3atbfkmSpHWu\np6eHnp6edXrMQaeMiIjnA6My89GIeAFwKfA5YB/gwcw8NSJOAsZm5snNQPqzgd0p3YqXATv1nx/C\nKSPWhFNGtOM0AAOYNjJv614Vr5UBTPNaaccpI9pzyog1N5SWri7gZxGRzf5nZ+alEfF74LyIOAaY\nT7ljkcycFRHnAbOApcDxA6YrSZKkEWLQ0JWZdwKvarP+QWDfAZ7zBeALa106SZKkZwn/9qIkSVIF\nhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxd\nkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJ\nkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRV\nYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ\nJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS\nJKkCQ5dQFf6hAAAZuUlEQVQkSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJU\ngaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFYzudAHa6eqaTG9vdLoYw05X1+ROF2FY6hrfRe+03k4X\nY9jpGt/V6SIMO14r7XmttDdxYhd77eX10t/EiV4vayoyszMnjshOnVuSJGl1RASZuVYtQkPuXoyI\nURFxfUTMbB6PjYhLI2JORFwSEZu17HtKRMyNiNkRsf/aFFCSJOnZYHXGdH0MmNXy+GTg8sx8CXAF\ncApAROwKHAHsAhwEnBER9hVKkqQRbUihKyImAAcD32lZfRgwvVmeDhzeLB8KzMjMpzJzHjAX2G2d\nlFaSJGkDNdSWrq8CJwCtg7C6MrMXIDMXA9s068cDC1v2W9SskyRJGrEGDV0R8RagNzNvBFbVTeio\neEmSpAEMZcqIPYBDI+JgYBNg04j4IbA4IroyszcixgH3NvsvAia2PH9Cs24l06ZNe2a5u7ub7u7u\n1X4BkiRJ61pPTw89PT3r9JirNWVERLwZ+GRmHhoRXwIeyMxTI+IkYGxmntwMpD8b2J3SrXgZsFP/\n+SGcMkKSJG0o1sWUEWszOeoXgfMi4hhgPuWORTJzVkScR7nTcSlwvOlKkiSNdE6OKkmSNIiqk6NK\nkiRpzRm6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJ\nkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRV\nYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQ\nJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuS\nJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS\nBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM\nXZIkSRUYuiRJkiowdEmSJFUwutMFaGfcuO3o7Z3f6WIMO11dk1m8eF6nizHsbDduHPN7eztdjGFn\nclcX8xYv7nQxhhWvlfa8VtqbNGkcCxd6vfQ3cWIXCxZ4vayJyMzOnDgiBzp3RACdKdfwFnTq+zWc\nRYRXSxsBXi/9eK2057XSXkRw5ZWdLsXws9deI/N6iQgyM9bmGIN2L0bEcyPidxFxQ0T8MSI+36wf\nGxGXRsSciLgkIjZrec4pETE3ImZHxP5rU0BJkqRng0FDV2b+FdgrM18NvALYOyL2AE4GLs/MlwBX\nAKcARMSuwBHALsBBwBlRmq4kSZJGrCENpM/Mx5rF5zbPeQg4DJjerJ8OHN4sHwrMyMynMnMeMBfY\nbV0VWJIkaUM0pNAVEaMi4gZgMdCTmbOArszsBcjMxcA2ze7jgYUtT1/UrJMkSRqxhnT3YmYuA14d\nEWOASyKim5VHuo+8UXWSJElDtFpTRmTmIxFxEfA6oDciujKzNyLGAfc2uy0CJrY8bUKzbiXTpk17\nZrm7u5vu7u7VKY4kSdJ60dPTQ09Pzzo95qBTRkTEVsDSzFwSEZsAlwCfA/YHHszMUyPiJGBsZp7c\nDKQ/G9id0q14GbBT//khnDJiTThlRDtOA9Ce0wCszGulPa+V9pwyoj2njFhzQ2npehEwvbkDcRTw\nw8z8VTPG67yIOAaYT7ljkcycFRHnAbOApcDxA6YrSZKkEcLJUTcotnS1Y+tFe7ZerMxrpT2vlfZs\n6WrPlq41599elCRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg\n6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAl\nSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5Ik\nqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIF\nhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxd\nkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqYJhHboOOABmz4Y5c+DEE1fevsUWcNFF\ncMMN8Ic/wHvfu3zbd74DixfDTTet+Jxzz4Xrritfd9xR/teG72LgpcDOwKlttj8AHAS8Cng58P1m\n/V3A3sDLmvX/3/ouqKQNyjXXwNSp8J73lPeP/pYsgZNOgmOPhWOOgYsvXr5tyhR4//vhAx+Af/iH\nemXW8BWZ2ZkTR+RA544IIpLbboN99oG774Zrry0X8Jw5y/f7zGfgec+DT38attyybOvqgqefhj32\ngEcfhR/8AF75yvZl+PKX4eGH4V//dT28wPUi6NT3aziLCF4M/ArYFng9MIMSwvp8DngC+AJwP/AS\noLdZXkwJY48CrwUu7PfcDVWA10s/EYE1sjKvlfYigm23ha98BbbaCj70ofK+M2nS8n2mT4cnnyzB\nasmSEtB++lPYaCN417vgW9+CTTft3GtYH/baa2ReLxFBZsbaHGPYtnTtthvMnQsLFsBTT8GMGXDY\nYSvus3jx8ot5003hgQdK4AK4+mp46KFVn+OII9p/ctGGZydgMrAxMIUSnFqNA/7cLP8Z2BIY3ax/\nVbP+hcAuwKL1XVhJG4wJE2DcOBg9Gvbeu7y3tBo7Fh57rCw/9hiMGVMCF0AmLFtWt7wa3kZ3ugAD\nGT8eFi5c/viuu0oQa3XmmfCrX8GiRfDCF8KRRw79+HvuWULbHXesm/Kqsya2LE8Arum3/QPAPpSW\nsEeBH7c5xjzgRmD39VA+SRumrbdecXn27BW3H3IIfPKT8M53wuOPl5awPhFwwgkwalTZ75BD6pRZ\nw9ewDV1DccopZczW3nvDDjvAZZfBK14Bf/nL4M896ihbuUaSLwCvBK4E/gTsB/yB0roFJYi9Ezit\nZZ0kDeacc+DFL4avfrU0AJxwApx1FmyyCZx+ehn68vDD8KlPweTJ8PKXd7rE6qRh2724aNGK/eYT\nJpR1rfbYA84/vyzfcQfceSe8dAiDcUaNgre/HX7crrlDG6QFLct3AeP7bb8a+Ltm+cXA9sCtzeOn\nKIHrPUC/HmxJI9y99y5fvu++FVu+AG65Bd785rI8fnzpilzQ/ELacsvy/+abw5vetHIrmUaeYRu6\nrr0WdtyxBK+NNy6D6GfOXHGf2bNh333L8jbbwM47r9hdGFG++ttvv/Lce+5Zf+VXXbcD84EnKYPo\nD+23fRfg8ma5F7gN2KF5fAywK/Cx9V9MSRuYRYvKUJSlS+GKK+CNb1xx+6RJcP31ZfnBB8tQmBe9\nCJ54onQ3Qvn/2mth++3rll3DUGZ25Kucur2urskJ5AEHHJC33npr3nbbbXnSSSclkMcdd1x+4AMf\nSCC33HLLnDlzZt54441500035ZQpUxJIIM8+++xctGhRPvHEEzl//vw8+uijn9n23e9+95ljbEhf\nXV2TB6yzkWxyV1fHvzfD8WtyV1envzXDjteK18rqmDjR66Xd18SJI/N6ATLXMvsMyykjJEmShpNn\n9ZQRkiRJzyaDhq6ImBARV0TEHyPi5oj4aLN+bERcGhFzIuKSiNis5TmnRMTciJgdEfuvzxcgSZK0\nIRi0ezEixgHjMvPGiHghcB3lJq/3AQ9k5pci4iRgbGaeHBG7AmdTJgafQBm/vFP/vkS7FyVJ0oai\nSvdiZi7OzBub5UeB2ZQwdRgwvdltOnB4s3woMCMzn8rMecBcoN+0ppIkSSPLao3piojtKH815bdA\nV2b2QglmwDbNbuOBlrnkWcTK0yZJkiSNKEOekb7pWvwJ8LHMfDQi+vcNrnZf4bRp055Z7u7upru7\ne3UPIUmStM719PTQ09OzTo85pCkjImI08Evg/2Xmac262UB3ZvY2476uzMxdIuJkylwWpzb7XQx8\nNjN/1++YjumSJEkbhJpTRnwXmNUXuBozgaOb5fcCF7asnxIRz4mI7YEdWfnvD0uSJI0oQ7l7cQ/g\nP4GbWT4j7acpQeo8YCLlL7AckZkPN885BXg/sJTSHXlpm+Pa0iVJkjYI66KlyxnpJUmSBuGM9JIk\nSRsIQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElS\nBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoM\nXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLok\nSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIk\nVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA\n0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFL\nkiSpAkOXJElSBaM7XYB2xo3bjt7e+Z0uxrDT1TWZxYvndboYkjQiTJo0joULeztdjGFn4sQuFixY\n3OlibJAiMztz4ogc6NwRAXSmXMNb0KnvlySNNBHBlVd2uhTDz157MSLfiyKCzIy1Ocag3YsRcVZE\n9EbEH1rWjY2ISyNiTkRcEhGbtWw7JSLmRsTsiNh/bQonSZL0bDGUMV3fAw7ot+5k4PLMfAlwBXAK\nQETsChwB7AIcBJwRpdlKkiRpRBs0dGXmVcBD/VYfBkxvlqcDhzfLhwIzMvOpzJwHzAV2WzdFlSRJ\n2nCt6d2L22RmL0BmLga2adaPBxa27LeoWSdJkjSiraspI0beiDpJkqTVsKZTRvRGRFdm9kbEOODe\nZv0iYGLLfhOadW1NmzbtmeXu7m66u7vXsDiSJEnrTk9PDz09Pev0mEOaMiIitgN+kZkvbx6fCjyY\nmadGxEnA2Mw8uRlIfzawO6Vb8TJgp3ZzQzhlxJpwyghJqsUpI9pzyog1N2hLV0ScA3QDW0bEAuCz\nwBeB8yPiGGA+5Y5FMnNWRJwHzAKWAscPmKwkSZJGECdH3aDY0iVJtdjS1Z4tXWvOv70oSZJUgaFL\nkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6JEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJ\nUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmSJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQK\nDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmqwNAlSZJUgaFLkiSpAkOXJElSBYYuSZKkCgxdkiRJFRi6\nJEmSKjB0SZIkVWDokiRJqsDQJUmSVIGhS5IkqQJDlyRJUgWGLkmSpAoMXZIkSRUYuiRJkiowdEmS\nJFVg6JIkSarA0CVJklSBoUuSJKkCQ5ckSVIFhi5JkqQKDF2SJEkVGLokSZIqMHRJkiRVYOiSJEmq\nwNAlSZJUgaFLkiSpAkOXJElSBcM6dB1wAMyeDXPmwIknrrz9k5+E66+H666DP/wBli6FzTaDnXZa\nvv766+Hhh+Ef/7E85x3vgJtvhqeegle/uu7rkSRtWK65BqZOhfe8B849d+XtS5bASSfBscfCMcfA\nxReX9ffdB//zf8LRR5f1F1xQtdgapiIzO3PiiBzo3BFBRHLbbbDPPnD33XDttTBlSglg7bzlLfDx\nj8N++/U/Ftx1F+y2GyxaBDvvDMuWwbe+BZ/6FNxwwzp+YetV0KnvlySNNBHBttvCV74CW20FH/oQ\nfOYzMGnS8n2mT4cnn4QPfKAEsKlT4ac/LcsPPgg77giPPw4f/CD8y7+s+NwN1V57MSLfiyKCzIy1\nOcawbenabTeYOxcWLCitUjNmwGGHDbz/UUe1/xSy777wpz+VwAVw221w++0ljEmStCoTJsC4cTB6\nNOy9N1x99Yrbx46Fxx4ry489BmPGwEYbwRZblMAFsMkmJWzdd1/dsmv4Gbaha/x4WLhw+eO77irr\n2nne8+DAA9s33x55ZPswJknSYLbeesXl/sHpkENg3jx45ztLF+NHPrLyMRYvLh/2d911vRZVG4Bh\nG7pWx1vfClddVZpzW40eDYceCuef35lySZKe3c45B178YvjJT+Db34bTTivdiX0efxw++9kSxjbZ\npHPl1PAwbEPXokUr9n1PmLC8i7C/KVPat2YddFAZTH///eunjJKkZ7d7712+fN99K7Z8AdxyC7z5\nzWV5/PjSFblgQXn89NMlcO23H+y5Z53yangbtqHr2mtLf/ikSbDxxiVYzZy58n5jxpQL/sILV942\n0DivPo7rkiStyqJFpXtw6VK44gp44xtX3D5pUrlLHsrA+bvughe9qDw+9VSYPLl0PUowjO9ehOSA\nA0pT7ahRcNZZ5QI+7jjIhDPPLPtOnVqmlnj3u1c8xiabwPz5sMMO8Oijy9cfdhicfnq5E+Xhh+HG\nG+Hgg9fPa1z3vHtRkmqJCE49Fb7+9XLX+8EHw7veVRoAIsrQliVLyntTb295zrveVe66v/nmckf9\n9tuXfSPKmK/dduvsa1oXvHtxLY4xHEPXuHHb0ds7v3KJhr+ursksXjyv08WQpBFh0qRxLFzY2+li\nDDsTJ3axYMHiThejumdt6JIkSRpOhvU8XRFxYETcGhG3RcRJ6+s8kiRJG4L1EroiYhTwdeAA4GXA\nURHx0vVxrmebnp6eThdhWLJe2rNeVmadtGe9tGe9tGe9rB/rq6VrN2BuZs7PzKXADGAV88mrjxd6\ne9ZLe9bLyqyT9qyX9qyX9qyX9WN9ha7xQMt88tzVrJMkSRqRhu08XZIkSc8m6+XuxYh4AzAtMw9s\nHp8MZGae2rKPty5KkqQNxrCcMiIiNgLmAPsA9wDXAEdl5ux1fjJJkqQNwOj1cdDMfDoiPgJcSunC\nPMvAJUmSRrKOTY4qSZI0knRkIP1Injg1Is6KiN6I+EPLurERcWlEzImISyJis5Ztp0TE3IiYHRH7\nd6bU61dETIiIKyLijxFxc0R8tFk/0uvluRHxu4i4oambzzfrR3S9QJkLMCKuj4iZzWPrJGJeRNzU\nXC/XNOusl4jNIuL85nX+MSJ2H+n1EhE7N9fJ9c3/SyLio9ZLnNJcI3+IiLMj4jnrvE4ys+oXJejd\nDkwGNgZuBF5auxyd+gL2BF4F/KFl3anAic3yScAXm+VdgRso3cDbNfUWnX4N66FOxgGvapZfSBkP\n+NKRXi/Na31+8/9GwG+BPayXBPgE8CNgZvPYOoE7gLH91lkv8H3gfc3yaGAz62WF+hkF3A1MHMn1\nQskkdwDPaR7/GHjvuq6TTrR0jeiJUzPzKuChfqsPA6Y3y9OBw5vlQ4EZmflUZs4D5lLq71klMxdn\n5o3N8qPAbGACI7xeADLzsWbxuZRfjg8xwuslIiYABwPfaVk9ouukEazcezGi6yUixgBvyszvATSv\ndwkjvF762Rf4U2YuZGTXyyPAk8ALImI0sAmwiHVcJ50IXU6curJtMrMXSgABtmnW96+rRTzL6yoi\ntqO0BP4W6Brp9dJ0o90ALAZ6MnMW1stXgROA1gGpI71OoNTHZRFxbUQc26wb6fWyPXB/RHyv6Ur7\ndkQ8H+ul1ZHAOc3yiK2XzHwI+AqwgPL6lmTm5azjOnFy1OFpRN7dEBEvBH4CfKxp8epfDyOuXjJz\nWWa+mtLy96aI6GYE10tEvAXobVpGVzVfzoipkxZ7ZOZrKK2AH46INzGCr5XGaOA1wDeauvkLcDLW\nCwARsTGlxeb8ZtWIrZeI2IEybGEysC2lxevdrOM66UToWgRMank8oVk3kvVGRBdARIwD7m3WL6L0\ns/d51tZV05z7E+CHmXlhs3rE10ufzHwEuAh4HSO7XvYADo2IO4Bzgb0j4ofA4hFcJwBk5j3N//cB\nP6d0dYzkawVKT8rCzPx98/gCSggb6fXS5yDgusy8v3k8kuvldcDVmflgZj4N/Ax4I+u4TjoRuq4F\ndoyIyRHxHGAKMLMD5eikYMVP6TOBo5vl9wIXtqyf0txBsT2wI2Wi2Wej7wKzMvO0lnUjul4iYqu+\nO2UiYhNgP8rAzRFbL5n56cyclJk7UH53XJGZ7wF+wQitE4CIeH7TUkxEvADYH7iZEXytADTdQgsj\nYudm1T7AHxnh9dLiKMqHlz4juV7mAG+IiOdFRFCulVms6zrp0F0CBzYvcC5wcifK0Kkv/v927t4m\nYiCKwuiXkCAhAX0gCiAgow96IKGpLQBRA8uPEB2QUAEBEsF4xRYAQ+BzwpEDz5VtPcvveXw7f68+\nG9+Or6uT6n7J5K463jv+tjEV8VZd/ff5/1EmF9VXY5J1Wz0s18jpynM5W7LYVk/VzbK+6lz29nrZ\nz/TiqjNp9C7t7p+X3XN17bks+zxvvOw/VpvG9KJc6rD6qI721ladS6NX9LV6bjTNH/x2Jn6OCgAw\ngUZ6AIAJFF0AABMougAAJlB0AQBMoOgCAJhA0QUAMIGiCwBgAkUXAMAE30faYX2fN+aCAAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795883e9d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/MINIAE_TANH_H100_DO50.shelve\n"
     ]
    },
    {
     "data": {
      "image/png": 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H5yDgYQAyFBnwC/GDz20fZCozNX14LeYaGtg1wMwuM3Hh4QW8u+9d+I3N/ZXx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\nRxUa+NSJyJqANQWeuxl7M08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QjBLETTmIM8aYQZT9JYaciTPGmMGUeRB/ouRMnDHGDMU4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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795a61c7d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MeOGG0tLVBXw3IrLZ//zMnBsRPwcuioiTgXsoTyySmfMi4iJgHrAcOG3QdCVJ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\nqGYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f797db69710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/DECODA_MINIAE_TANH_TFIDF_H30_DO.shelve\n"
     ]
    },
    {
     "data": {
      "image/png": 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hMWEYYzgZd5Lh7e0X8ODZg8zfPZ8RHUcwculI5u2eR2JqIsPbD2fYkmEU9yyO\nU5y0qNaCDaEbWP/oem6dcStnXj5Dcc/its5G2c7/nvV7UrtMbRYfXExUUhRBQ4KYt2set153Ky2q\ntcj2OhJTE3ll2SsE+AfY08K0ZH649weG/joU72LeNKvSjKfbPE37Wu1zrYfp26bTuHJjWlVvBcDs\nHbPZsbEi7zx8G+PHw4gRcM89MHcuLNy3kF5zevFS+5e4sfKNlCpaivm757P5xGbuvP5Oxncbf17+\nSw4u4a7Z/UhwxOJhPGhapSlpDgf9ik0hIDSzTE0qtCQyIYr4pFT6+g7lqEcgm4/t4myEB1WrOQkd\ndpSdp3bSZUYXPD082XhvGMH7PLntNjBPNoPI63iu5210rN6V51cOon6tinzScxwtprQg5XAb6pW+\niSL1l7DvzL6MfX7e43MGNR1EtfHViE2JpVGZmzl2xJO+sStJSBBGjjvAwY0N6dHDXmPnVFwENVpt\n4X+vduXmO/Yz6+9Z/Bb8GwfPHKZc0SqExO+jW91ubDwWRFTKWfz9/AmJCmHnUzup8mEVJKk0ElOD\nZ4r9xYyD41j+eS8aVmyYUR4RocyYMsSmxFK1dFVOxp2kxV9B7FzSivnzYV/Efqj/K8M7vMj69VC2\nQiqt5pelfuq9HJ4wjc8+s++VlxfM3z0fn2I+3F739gt+D85JdaRR9I3yUCyW0y+dZkf4DsauHcvi\ng4tpVqU5w0ptZX+NNwg6HkQjxwO8cscgKlWCQT8NIvZUBR5ucw9vbfwvH//nY8Z+eYhFHo9ze7X7\nqL97OpM3fwQ1NvJyjwGMC7mb3g16s/Or5/D6z0i84vzocOJ7fO/9hF//Xk1Q9G+kSAKNKzXm8QZv\n8fbrJYk9W5qbhr/Kgvt/4vc9K3jotwFUKFGB+2+8nzc7vUmrkSMJKTcNPJz4lqpP9XIVqO5dnb0R\ne4lOjqZokaI83PxhXr/ldQD+OPAHd42bSMv61Vj2/BcU8yyGwwGv/W85q5M+Z13UfEgrStmQB/nh\noak0amRnSI8ZA++/DxUqOUh6qiapjlQWD1zMJ+u+ZPquKfBxMCVfbI5THHSt+DAeCdXwK1ebT489\nSjufe/jsvle5/dvbOTHMtgYmbZjEsCXDSHo9CU8P28Z+8EGYMSPvP0rO76iS7sBeYD8wIpftFYDf\ngW3ADuChPPI5/2feC9i1S6RevfPXd5neRZYeXCq/B/8ufwT/8Y/ydKWDZw/Ke6suMpI/3Z7Te4QA\nxPNtT6k3TS1aAAAayUlEQVQ7qa6YACOeb3tKyXdLSkpaitSeUFu83vaSEX9mH3/2w+4fZP6u+SIi\nEpMUI/3m9pMZ22bku4yDfxosLaa0EBGRD9Z+IEMWDMn36JrcpKbaX9sHDrTLYTFhctecu2T5oeUZ\nab7e8rUQQEa5c/P6gslCAPLwz48IAWS8j7U+qpUxoiIuOU5KvVtKRv45UmZunykEIAPnPCEevmtk\n2pbpImJHJg38caB8teWrbPnTfJq06LElYzkpNUkG/zRYir5TNCN/ApD+8/pLx3GPZiwP/HGgjPxz\npPSf119Grxwt67ZFSIknO0mNe8fKkJlvS9F3isrXW76WebvmydGoo3LzlzeLx6tl5K15s6XSuEpS\ndkxZIQB55OdHJDwuXF5b9ppM2zpNCECGLx4uBCDvr7azSCZtmCSPjJ8rrR6dIZ9/LtKnT+511fZ/\nbWXwT4Nlyl9T5KUlL0nfe1IE7CiM3HT+prP0/+JNadbsgm9lvngN7ikEkG0E17m6ysvWE1ul1+xe\nUvXDqlJ9fHVJc6TJjJWrhQBkwsov5csv7TBAEPl1RbgQgOw+tVsmTBCp3m2WlGu6TtavFwk+EyxF\n3ykqd39/t3SZ3kUeX/C4OBwinp4ivk1CpeK4itLksyZS9J2ict2k6+TnPZnjLTt2FKHjezJx/URZ\ntH+R3DvvXik/trxMXD8x4/3YF7EvW7nbthVZtOj815OUmiTDFg+XYs+0kp6jJ523vWlTO+T5m63f\nyAM/PCApaSkyeuVo8X7XR8ApJUaXkGofVpOf9vwk3b/tLvfOu1feWfmOdP6ms3i/5y0DfxyYkdfC\nfQul1ke1suX/0ktyeUMMsT9+HgB8Aa/0QN0wR5q3gPfTH1cEzgCeueSV5xufm+++y30cdvMvmsvm\n45vP33CFG7N6jHyw9gMhABnx5wiZvWO2fLD2AxGxBybfCb4u3+fm45tl1t+zXJon2PG2eXE4HRKw\nIuCC4/BXHAqUYm8Xl9+DfxcTYDLSfrLxE/lh9w/yzdZvRERk6l9T5UjkEVl8YLEQgHwe9Lls2ZJn\nthmCg88fY+x0OqXex/XEBBgxAUZe/PU1OZtwVpKSRHzeLSc1xteQ2hNqS+n3SsvxmOMiYoeBedc6\nLLxcUSqOrSSfB30ufb/vK91mdpNS75aSrjO6yps/T5Wa42tmBDcTYLIdVILCgoQA5Fj0MXl92euS\nkpY5fjIqys4ujo628yFy8+32b2VH+I6M5X377Fj5vPy05ydZc3hDxvj7y+Hb5LgMnpp96uLSg0tl\n7s65F33uxtCNGZ+94zHHM4J1bGzmRLaDB0XeWP6GpDpSJSnJzrhcvDhz2Oesv2fJxtCN8vOen2Xd\nUTtRYNUqkY2bHFJ8dPGM4cQL9i7Itu/jx7NP3jt3AF24b6HEJMXImNVjzivvrl3ZhwfmNGbx17Ij\nbP956w8dshMDs5qxbYbc9MVN8tdfItdNuk46ft1RwuPCpcz7ZaTah9XkwJkDkuZIk9eWvSan4k5l\nPO90/Gn5aF32CQh2eOTlBfG2wO9ZlkfmbI0DQ4HJ6Y/rAPvzyCvvGsrC6bTjhStVyn2mYO0JteVw\n5OF85XWlcTgd8u6qd8+bxThkwRC5/4cLzDy5gpQvn9kSv1RxyXHywdoPJC45LqNleiFbT2wVApDV\nIasva7/zd82Xp397Wq7/+Pps61tNbSUP/vSglBtTThp/2jhj/bkzj6q3LMx21ud0OmXM6jESGh0q\n0UnR8viCx2X44uHi9baXTFg/IWPimYhtyb276jKmvBaidu3sdYUul9PplFGBo8ThtDNtUlPtWO6c\nwe+fmLRhkpyKOyVjVo/JmHSWl9Uhq2XwT4MlPC780nf4DxyJPJLREOnwVQd56OeHRETEb6LfeWc2\n+XG5QbwvMDXL8kDg4xxpPIAVwHEgBvhPHnnlq8CrV9tZZLt25T7Q3vs974u+ae5m5ZGVlx2gCkp8\n/IVbLP+GsJgwIQCJTIx0SV7nvmDnDJg/QN5Y/obcMesOeXzB49m2gZ0UcjHxKfEyYf2Eyy7flSQq\nKu/Zhq7I+1rQb24/eWflOyIicujsIZm5feY/zuNCQdxVo1NeAbaLSGdjTF3gT2NMUxGJy5kwICAg\n47G/vz/+/v7nZTZ9uu3Mb9To/B2lOlJJSE3Au6i3i4p+ZbjF95bCLkK+lSxZ8PusUqoKk7pPomzx\nspedV3Xv6jzY/MFs6x5v8TjlS5TH38+fMsXKnPecIUMunm9Jr5I83/b5yy7flaTM+VXhFnlfSYa0\nGEJNHztMtU65OtQpV+eizwkMDCQwMDBf+V90dIoxpi0QICLd05dHYo8KY7OkWQS8KyJr05eXYbtc\n/sqRl1xsf4mJdgbWjh32PqdT8ado/FljTr90Oj+vTyml3J4xeY9Oyc+MzSCgnjHG1xhTFBgALMiR\nZg/QNX1nVYD6wKFLKeyqVXYoYW4BfOuJrYxdM5byJcqfv1Eppa5BF+1OERGHMeZpYAk26H8lInuM\nMUPtZpkKvA9MM8ZsBwzwsoiczTvXvG3bZqdF52bcunGkOlJ585Y3LyVrpZS66lxxk33uv99eF+PB\nB8/fVntCbZYNXsb1Fa7/l0qolFJXnsvtTilQ27dnXkgoq8ORh0lKS6Je+XoFXyillLpCXVFBPDER\nDh2yo1LOJJzh27+/zdj28tKXeazFYxiT+8xTpZS6Fl1RQXzXLqhfH4oWhV/3/8pbgfbCRwmpCSwK\nXpRxnQOllFLWFRXEs3alrD22lpCoEFIdqQSFBXFj5Rsp6VUIA5SVUuoKdkUE8bfftv9s8txzdmSK\nw+nIuATr0eijrDm6Js8r7iml1LWs0K8nnpwMkybBsmX20o5VqsBHGyZQtXRVavjU4GDkQX7e9zPv\n3/p+YRdVKaWuOIXeEl+xwv6Q2by5bY0fijrA2LVjmd5nOvXL1+e3/b9xLPoYnf06F3ZRlVLqilOo\nQfzMGftfhjffnLluxvYZDG46mDrl6tClThcmB03mnkb3UMSjSOEVVCmlrlCFGsT797f94U2bCi/8\n8QIxyTHM3TWXAU0GAHBn/Tsp4VkiY1kppVR2hdYnPnu2/fdxEfD0/YuJgROpWroqp+JP0bJ6SwBK\nFS3FoecOUblU5cIqplJKXdEKJYgHB9t/GZ8+HU6fhi1J82hcqTEjl43kjuvvwMNkniBoAFdKqbwV\nSnfKt9/C4MHQrx88+SRsDd/MmK5jALih4g2FUSSllHJLhdISX73a/mP6OTtP7eSmqjeR+FoiRYz+\ngKmUUvlV4EFcJPvMzFPxp0hxpFDdu7peF0Uppf6hAu9OCQsDT0+oWhXSnGncMesObqp6kwZwpZS6\nBAUexPfsgcaN7ePlh5djjOHX+38t6GIopdRVocCDeEIClC5tH/+w+wcGNB6gF7ZSSqlLVOBBPC3N\ndqcArDq6ii51uhR0EZRS6qpRaEH8TMIZwmLCuLHKjQVdBKWUumoUShD38HTw7d/f0rF2Rzw9Cv1C\nikop5bYKPIKmpcHWak/z/eIv2P3U7oLevVJKXVUKpSWe5HmCH+/9kRsq6exMpZS6HIUSxFOLRFG2\neNmC3rVSSl118hXEjTHdjTF7jTH7jTEjctk+3Biz1RizxRizwxiTZozJNUqnpUGKhwZxpZRyhYsG\ncWOMBzAZ6AY0Bu4zxjTMmkZEPhSRm0SkBfAKECgiUbnlp0FcKaVcJz8t8TZAsIiEiEgqMAfofYH0\n9wGz89pog3i0BnGllHKB/ATxGsCxLMuh6evOY4wpAXQHfsgrs5RUJynE4lPM55+UUymlVC5cPcSw\nJ7Amr64UgN+XvIqHswjv8A7+/v74+/u7uAhKKeXeAgMDCQwMzFdaIyIXTmBMWyBARLqnL48ERETG\n5pL2R2CuiMzJIy957q0jfMMtRAWE5KuASil1rTPGICK5Xuo1P90pQUA9Y4yvMaYoMABYkMtOygCd\ngF8ulFl8WhTFcx+4opRS6h+6aHeKiDiMMU8DS7BB/ysR2WOMGWo3y9T0pH2AxSKSeKH84p1RlNAg\nrpRSLpGvPnER+QNokGPdlBzL04HpF8sryRFHcVP6n5RRKaVUHgp8xmaqMw1PD6+C3q1SSl2VCn7a\nvSNNr1yolFIuUigt8SJGg7hSSrlCwbfEndoSV0opV9EgrpRSbkyDuFJKuTEN4kop5cYKPIg7nGl4\nFtEgrpRSrlDwLXFJw0tb4kop5RKF052iLXGllHKJgu9O0Za4Ukq5TKH0iXt5ahBXSilX0Ja4Ukq5\nscIJ4tonrpRSLlHwQZw0imp3ilJKuUShtMQ9ixQp6N0qpdRVqcCDuFO7U5RSymW0O0UppdxYwbfE\nSaOotsSVUsolCiWI6zhxpZRyjULpE9fuFKWUco3C6U7RIK6UUi5RKEG8mAZxpZRyiXwFcWNMd2PM\nXmPMfmPMiDzS+BtjthpjdhpjVuSVl9OkUcxLg7hSSrnCRaOpMcYDmAzcChwHgowxv4jI3ixpygCf\nAreLSJgxpmJe+QlpFNUgrpRSLpGflngbIFhEQkQkFZgD9M6R5n7gBxEJAxCRiLwycxrtE1dKKVfJ\nTxCvARzLshyavi6r+kB5Y8wKY0yQMWZQnrkZnbGplFKu4qpo6gm0ALoApYD1xpj1InIgZ0Ln3/uY\n+/l3bKu4EX9/f/z9/V1UBKWUujoEBgYSGBiYr7T5CeJhQO0syzXT12UVCkSISBKQZIxZBTQDzgvi\n5iZfHnruEW6/vnO+CqiUUteanA3cUaNG5Zk2P90pQUA9Y4yvMaYoMABYkCPNL0BHY0wRY0xJ4GZg\nT26ZiYdOu1dKKVe5aDQVEYcx5mlgCTbofyUie4wxQ+1mmSoie40xi4G/AQcwVUR255qh0T9KVkop\nV8lXNBWRP4AGOdZNybH8IfDhRTPTlrhSSrlMgc/YxENHpyillKsUShD31D9KVkoplyj4IF5Eg7hS\nSrmKtsSVUsqNaRBXSik3pkFcKaXcmAZxpZRyYxrElVLKjWkQV0opN6ZBXCml3FjBB3HjwMMU/G6V\nUupqVAhB3EkRjyIFvlullLoaFUoQ15a4Ukq5hgZxpZRyYxrElVLKjRVCEBcMpsB3q5RSV6OCD+Ji\nMEaDuFJKuUIhBHHtSlFKKVfRIK6UUm5Mg7hSSrmxAo+ophCOG0opdbXSlrhSSrkxDeJKKeXG8hVR\njTHdjTF7jTH7jTEjctneyRgTZYzZkn57Pc+8tDtFKaVc5qLXhDXGeACTgVuB40CQMeYXEdmbI+kq\nEel10T1qS1wppVwmPxG1DRAsIiEikgrMAXrnki5fM3i0Ja6UUq6Tn4haAziWZTk0fV1O7Ywx24wx\nvxljGuWZm7bElVLKZVz1FzubgdoikmCM+Q/wM1A/t4TO1QkEBAQA4O/vj7+/v4uKoJRSV4fAwEAC\nAwPzldaIyIUTGNMWCBCR7unLIwERkbEXeM5hoKWInM2xXjxHVCN1zPF8FU4ppRQYYxCRXLus89O3\nEQTUM8b4GmOKAgOABTl2UCXL4zbYg8NZcqPdKUop5TIX7U4REYcx5mlgCTbofyUie4wxQ+1mmQr0\nM8Y8CaQCiUD/vPLTy9AqpZTrXLQ7xaU7M0a8Xq5NytiQAtunUkq5u8vtTnFtYbQ7RSmlXKYQIqoG\ncaWUchW9iqFSSrkx7U5RSik3pt0pSinlxrQ7RSml3Jh2pyillBvTlrhSSrkx7RNXSik3pi1xpZRy\nY9onrpRSbkxb4kop5cY0iCullBvTIK6UUm5Mg7hSSrkxHWKolFJuTFviSinlxjSIK6WUG9MgrpRS\nbqzAI6qHBnGllHIZbYkrpZQb0yCulFJuTIO4Ukq5sXxFVGNMd2PMXmPMfmPMiAuka22MSTXG3H2B\nNJdSTqWUUrm4aBA3xngAk4FuQGPgPmNMwzzSjQEWXzA/bYkrpZTL5CeitgGCRSRERFKBOUDvXNI9\nA8wHTl0oMw3iSinlOvmJqDWAY1mWQ9PXZTDGVAf6iMjnwAX7SzSIK6WU63i6KJ+JQNa+8jwDefS6\nPQQEBADg7++Pv7+/i4qglFJXh8DAQAIDA/OV1ojIhRMY0xYIEJHu6csjARGRsVnSHDr3EKgIxAOP\ni8iCHHmJ3/D+HP5gTj5filJKKWMMIpJr4zg/LfEgoJ4xxhc4AQwA7suaQESuy7KzacDCnAE8Y7t2\npyillMtcNIiLiMMY8zSwBNuH/pWI7DHGDLWbZWrOp1woPw3iSinlOvnqExeRP4AGOdZNySPtIxfK\ny8NoEFdKKVfRGZtKKeXGCj6Ia0tcKaVcRi9Fq5RSbky7U5RSyo1pd4pSSrkx7U5RSik3VvBBXFvi\nSinlMtonrpRSbkxb4kop5ca0Ja6UUm5MW+JKKeXGroiWuJ+fH8aYq+Lm5+dX0FWqlLqGuepPIfIt\nt5Z4SEgIF7uuubvQP4JWShUk7U5RSik3pjM2lVLKjWlLXCml3Fgh/LCpfcZKKeUq2hJXSik3pkE8\nHyIjI7nrrrsoXbo0derUYfbs2YVdJKWUAgphiKE7jsB76qmnKF68OKdPn2bLli306NGD5s2bc8MN\nNxR20ZRS17gCbxYLaQW9y8uSkJDAjz/+yOjRoylRogQdOnSgd+/ezJw5s7CLppRSBR/Enca9gvj+\n/fvx8vKibt26GeuaNWvGrl27CrFUSillFXh3ipjUS3qeK7phLmVSaFxcHD4+PtnW+fj4EBsbe/kF\nUkqpy5SvlrgxprsxZq8xZr8xZkQu23sZY7YbY7YaY/4yxnTJKy/nJXaniFz+7VKULl2amJiYbOui\no6Px9va+tAyVUsqFLhrEjZ1iORnoBjQG7jPGNMyRbKmINBORm4CHgal55ee8xJZ4Yalfvz5paWkc\nPHgwY9327dtp3LhxIZZKKaWs/LTE2wDBIhIiIqnAHKB31gQikpBlsTQQkVdml9oSLywlS5bk7rvv\n5s033yQhIYE1a9awcOFCBg0aVNhFU0qpfAXxGsCxLMuh6euyMcb0McbsARYBz+aVmbu1xAE+/fRT\nEhISqFy5MgMHDuSLL77Q4YVKqSuCy37YFJGfgZ+NMR2BmUCD3NIdWxZEQEoAAP7+/vj7+7uqCP+a\ncuXK8dNPPxV2MZRS14jAwEACAwPzldZc7Drexpi2QICIdE9fHgmIiIy9wHMOAm1E5EyO9dLy3fv5\n69VZOdNfVdcTv1pei1LqypAeV3Ido5ef7pQgoJ4xxtcYUxQYACzIsYO6WR63AMgZwM9xuGF3ilJK\nXaku2p0iIg5jzNPAEmzQ/0pE9hhjhtrNMhXoa4wZDKQA8UD/vPJztx82lVLqSpavPnER+YMcfdwi\nMiXL43HAuPzk5URb4kop5SoFP+1eW+JKKeUyBR7Ei3voTEellHKVAg/iD5b9X0HvUimlrloFHsRL\nFvG5eCKllFL5UvD/7ON+f+yjlFJXrIL/o2Q3/GefTz/9lNatW1O8eHEeeeSRwi6OUkplKPDriXt5\nFfQeL1+NGjV44403WLx4MYmJiYVdHKWUylDgQbxv34Le4+Xr06cPAEFBQYSFhRVyaZRSKlOBd6eU\nKFHQe1RKqatXgbfEL5UZdfmd6fKWXphKKXV1cZsgrgFYKaXOpwP+lFLKjWkQzweHw0FSUhIOh4O0\ntDSSk5NxOByFXSyllNIgnh+jR4+mZMmSjB07llmzZlGyZEnefffdwi6WUkpd/J99XLozYyS3/V1N\n/4ZzNb0WpdSV4XL/2UcppdQVSoO4Ukq5MQ3iSinlxjSIK6WUG9MgrpRSbkyDuFJKubErYtq9r68v\nxh0vNJ4LX1/fwi6CUuoakq9x4saY7sBEbMv9KxEZm2P7/cCI9MVY4EkR2ZFLPrmOE1dKKZW3yxon\nbozxACYD3YDGwH3GmIY5kh0CbhGRZsBo4MvLK/LVLzAwsLCLcMXQusikdZGd1sfF5adPvA0QLCIh\nIpIKzAF6Z00gIhtEJDp9cQNQw7XFvProhzOT1kUmrYvstD4uLj9BvAZwLMtyKBcO0o8Bv19OoZRS\nSuWPS3/YNMZ0Bh4GOroyX6WUUrm76A+bxpi2QICIdE9fHglILj9uNgV+ALqLyME88tJfNZVS6hLk\n9cNmflriQUA9Y4wvcAIYANyXNYExpjY2gA/KK4BfqBBKKaUuzUWDuIg4jDFPA0vIHGK4xxgz1G6W\nqcAbQHngM2MHfKeKSJt/s+BKKaUK+HriSimlXKvApt0bY7obY/YaY/YbY0Zc/BnuzRjzlTEm3Bjz\nd5Z15YwxS4wx+4wxi40xZbJse8UYE2yM2WOMub1wSv3vMMbUNMYsN8bsMsbsMMY8m77+mqsPY0wx\nY8xGY8zW9Pp4L339NVcXYOehGGO2GGMWpC9fk/VwWUTkX79hDxYHAF/AC9gGNCyIfRfWDTtCpznw\nd5Z1Y4GX0x+PAMakP24EbMV2b/ml15Up7NfgwrqoCjRPf1wa2Ac0vIbro2T6fRHsvIoO13BdvAB8\nCyxIX74m6+FybgXVEr/ohKGrjYisASJzrO4NTE9/PB3ok/64FzBHRNJE5AgQjK2zq4KInBSRbemP\n44A9QE2u3fpISH9YDNvAieQarAtjTE3gDuB/WVZfc/VwuQoqiP/TCUNXq8oiEg42sAGV09fnrJ8w\nrtL6Mcb4Yc9QNgBVrsX6SO9C2AqcBAJFZDfXZl1MAF4Csv4wdy3Ww2XRS9EWrmvqV2VjTGlgPvBc\neos85+u/JupDRJwichP2bOT/jDH+XGN1YYzpAYSnn6FdaOjxVV0PrlBQQTwMqJ1luWb6umtNuDGm\nCoAxpipwKn19GFArS7qrrn6MMZ7YAD5TRH5JX33N1geAiMQAi4BWXHt10QHoZYw5BMwGuhhjZgIn\nr7F6uGwFFcQzJgwZY4piJwwtKKB9FyZD9lbGAuCh9McPAr9kWT/AGFPUGFMHqAdsKqhCFpCvgd0i\nMinLumuuPowxFc+NuDDGlABuw/5gd03VhYi8KiK1ReQ6bDxYLiKDgIVcQ/XgEgX1CyrQHTsqIRgY\nWdi/6BbA6/0OOA4kA0ex15QpByxNr4clQNks6V/B/uK+B7i9sMvv4rroADiwo5K2AlvSPw/lr7X6\nAG5Mf/1bge3A8PT111xdZHl9ncgcnXLN1sOl3nSyj1JKuTH9YVMppdyYBnGllHJjGsSVUsqNaRBX\nSik3pkFcKaXcmAZxpZRyYxrElVLKjWkQV0opN/b/tiaExisK9ZQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79601f2210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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09MwZ6mIMO50TOuld0DvUxRh2OsZ30HNfz1AXY1jxXmnPe6W9SZM6mT/f+6Wv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\n6OIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79605a94d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores_ordoned={}\n",
    "for i in glob.glob(\"scores/*DO*.bak\"):\n",
    "    if \"MINIAE\" not in i :\n",
    "        continue\n",
    "    scores={}\n",
    "    print i[:-4]\n",
    "    data=shelve.open(i[:-4])\n",
    "    for key,table in data.iteritems():\n",
    "        scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "        if key not in scores_ordoned:\n",
    "            scores_ordoned[key]=[scores[key]]\n",
    "        else :\n",
    "            scores_ordoned[key].append(scores[key])\n",
    "            \n",
    "    pandas.DataFrame(zip([x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][0] ],[x[0] for x in data[\"ASR_H1_TRANSFORMED_W1\"][1] ])).plot()\n",
    "    data.close()\n",
    "    show_network_TRANS(scores,title=i,unite=200)\n",
    "    #except:\n",
    "    #    print \"C4EST LA MERDE\",i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ASR_H1_TRANFORMED_OUT 0.697\n",
      "ASR_H2_TRANFORMED_OUT 0.682\n",
      "TRS_AE_OUT 0.838\n",
      "TRS_SPARSE 0.841\n",
      "ASR_SPARSE 0.78\n"
     ]
    },
    {
     "data": {
      "image/png": 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blp7dOXPInLRtSzH6yEhqiXXpQtvOnevdiXsT8ZEjqVI+doyun1RKrdR773Ud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\niUspXavI2Sq+VVQnWBOHoKPcE3/yBO+Z9R6SiST7ju4jUZm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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f795924e810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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G4jxPtnohj3RwNS5WXERWmWvod+edpLbLyqgjX7iQriOTud5poFPc4+LonURF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\nRJqYgriISBNTEBcRaWL/D0/4iN+zdJOWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f797d2cd6d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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O82XZsWV58MJBRkc7GFo1lj4dB7HEyBDKoFL0HupDr/csLP1WM+J/oWzRbSdHbxxNiRA2\nf3k8AdNASD2Ipa7Td985WHJUafoO86VlmIUNpzdk9OGzHPBiMp991uyjEyeS9RtaWW1cPe49t5fT\npuXcpTRtmtmXUz8//GC2Q9N16ODYsQ726EEGNF7JwBfasWq/gbS8VpOIAMPviGSzZuYsL3V3u5R4\nibGJsTwee5Ler4Xx+9/2slUrc1Y5dao56Dkc5gwuJobs0NFG+MTz8GHTOi9fnky2Zt9/Tp40MaBU\nKXNQuftu8va+S+jzvg/9BzZikaG+aWlv+CDerJm5YLB5szklWbPGdHUkJJgWSGr/9Pr1Jv2mTUzb\nmCpVMkf5bdvIS5ccDAy28Y03zIbw5ZeZW1uNGqV3X3zxBQkvK59/3rTcREzf7u9brWnBNj6enD4r\nmY9Omk6/EX7strAbE62JrDWlFv8+/TdXfGfnup+sHD3a9JW2e/onIiK9jqJORTFsQhhPXT7FkT+P\nZM/FPXMM5KOXLyYiwB0nozj7k3jeNKEBp22Zlja984LO9B8RwOrj6jFgZADrT6tPvxF+jE2MpdVu\nZcu5LVl8RHH6DC3Cz3Z8lq0VlGBNYOUJlbnx6EaS5IX4C2nlsNqtDPkghJ0XdOapy6dYcXxFfr/P\nXFmz2W388UcHP5xykYcOZ96In5z3DvsuH0C/EX48d+VcWnqb3caPfv+IlmEWlv+wPOOSzF56y0d3\ncdT6CTwTd4aXky6n5ZNoTeKydadYf1JzFokoyrtm9kqb5nA4eO7KOadabja7zal0bduSD/YyB4oN\nG0yfe3S02REjIswpsMViuvGyXlj9/XcTdBwOct068tffbJkuUmcsS7ItmS3mtOCojaPYfuYD7DV1\nhFNdD+sOrqPvMF/6vl+My/d8zzNxZ3gm7gwdDgf37jVnMQ6HI9PB1ma3MT45PtOBvVMXK7uOH8Ii\nDz7GKVPMGVfqxd2xm8bSd5gvm89uQbxdlMXeqMG/Tv3NysNuYaXaJ1mnro2tp9/LW8c/yOLDAxk+\nMZwbjmyg35AQosxO7tpl9juA/HjhOZ6JO8PbOhyn5V3T+e9wOPjkt0+yyBA/ln61A6dNM/tsQgLZ\n7rnVRAT4zrohtFjMWWlGx4+bM+2pU80+/L+BNhbxi2fnnme49pcLLNl1FPHg/XxvzBn+7+vR9Lvv\nZfo2/IaIAKuMaM7nl7zHMVPOsEJ4HLdtI+f8OYeWYRYWH1GcgSOD6fVGWTaf3ZwDXrDy3q42AuYM\n78QJsw04HGTXuU/SO8KH/yTEMi6OXL7xIMuOLcs1B9YwNjGWdoc9bVtbuTL94vqBAw5aBlVinyEr\n6d2vGREBno83d2Lc8EG8dGlTiRlZ7Vba7DZu2JjM4BIOJtvSW2gOh2lpLF9u+linzzKX1T/b8RnL\n9XuMi5emX2ZPC+JeyRw/3sGmTc34NRv+IV4P4eJl//BC/AXeefcVTphoY5tP2/DVVa/SZrfR7rCz\n34p+LPdhOf6w7wciAgwYGUBEgIgAW3/Sms1nN+cnn5hlNH/3tUxB/I01b7DCuAq894t7WWNyDYZ8\nEMK1B80VtnNXzjEmNob/JPzDV1a+kpZn+8/bs/UnrVlqTCnuObuHMbExDB4dzOlbp/Oxbx7jp9s/\nZZ+lfdhiTgtWGl+JjWY0YvvP29PusHP61umsOL4i602rl2mH/nrX1wz5IIQ3z7yZaw6soddQL/Zd\n0ZcxsTFcuX8lq0+uzhKjS/CVla+w/eftWWFcBZ67co5vrHmDjWc0ZpH3i/DBrx5M23DPx59nhXEV\nuO3ENvZY1IPlPyzP1QdWs+L4irx55s30H+nP9YfX885P72TgqEBO+X0Kg0cHs8rEKgz5IIRBo4L4\n6//9yosJF9llQRcGjw5mryW9+Nux39hkZpO0ci/fs5yIAN9c+yaTbEmMiY1hTGwMz105l2k4JjaG\nHed35HPLn2NMbExaOWMTY9OmX0q8RJJ8ZWACQ96rw6hT5laL03GnabWbg7mXlzllrlTJNAAycjgc\nPHXZ3NIUlxTH7ou6s9XHrbJtyxHrI9hjUQ/Oj5rPZrOasfQHpRk4KpDFhhfLdGZyNX2W9uFHv3/E\nVftXsdyH5RjyQQiLjyjOET+P4Om407TZbbz/y/v57k/v8nTcaW4+tpkVx1dk6LhQlv+wPKPPRHPv\nub0MHFKZ8nZxtn9sS47LiT4TzVvn3Momrc5x7tzUdTTXjry9M9/Nk+r+4XOJfg2ZZEtih/tP0q/p\nYhaJKMagUUH0eq0i5fn6vO02pn38w3ez0tjqmeqwyYS7WK7vEywzOpRSaj9vb5veFD92zJwRPf20\nGf7zxJ8MHRdKr9cqMXB4CP1G+NH73eL0eqEeg0cHExHgXW/OYsf7zvL2j2/nsj3L0vZRvyGlWbnW\nWfq/0oK1u37P+3va2WLcA2zx8Dq2/7w9i79fkuhfj7Vrm/93/frpXVX1p9UnIsBtJ7aRJB//5nF2\nmt+JZceWZfERxYkIMGJ9BEnTdZLq8MXDLDG8HMXLwX79yHafteN3e78jmXsQL/BvMYyPB0qVMg+X\neKXc9X7wwkFU/6g6GpVrhMtJl9GsdBuUDvbD5E6TkWRLgq+PL06eBOzFTuLQyVh0X34bNj21CdP/\nmI55UfMBITY8sQHl/MvhykV/wPcyui7uiFdavISmpdoiMMiBeVuXY8jmV/Bx65/Qf1MntAq9E/2a\nDsCIX9/D2StncfzycQy7cxgW/LUAX9z3BRqXb4x60+qhQdkGqBRYCR/8+gEAILhoML5ocBGdOwNN\nJ92NPy6uBYcQZ6+cRf3p9bHqkVV4fe3rEAg6VOuAbae24fXbXkerj1sh0DcQNocN1UtWR4OyDbA4\nejEuJl7EukfXYc+5Pfh85+doVqEZku3JmHXvrEz1NnDNQEz/YzpuLn8zFty3AJWCKmHn6Z1oOKMh\nyhYvi0EtB2FAswHw9fHFQ0sewp3hd2LohqEIDw5H15pd8e3eb3HgwgEk2hIxou0ITNs6DecTzmNZ\nr2X4evfX+L/Y/8Ovx35F1RJVMbLdSDy57EksvH8hbgm9BUMjhyLmUgxmd50NAKg8oTISbAnwFm/Y\nacfN5W/G9w9/j2/3fIthPw/DnnN78EyTZzCl8xQAwOdRn+OtH9/C5eTL8BIvnHztJIr6FMWpuFNo\nML0Bzrx+BgAwNHIojl8+jhX7ViDINwgXEy/Cx8sHsYmxqBRUCRcSLsDHy7xSv2HZhriQcAF7zu3B\na7e+hnfveBfhE8ORZE9K+z8tuG8BOs3vjDPxpzGp4yS0rdIW9afXxz0178Hi7ssRHS24+WYg5nQC\nKpYthivWOCTbk1GyWEn0/64/5myfgw/v+hDf7PkGvx77Fb4+vrg8+DIA05hac3ANHvv2MSTZknBX\ntbvQqlIrVAiogM0xm7HgrwWI6heFcv7lctwPSGLria3otKATdg3YhbL+ZdOm/XHiD7T+pDVsDhtq\nlKqBy0mXcS7+HGwOG4p4F0F4cDh61+sNHy8ffLTlIwBANa922LjlH3zXZxm6dMnx5XkAgBMn0u85\nB4DTp4Fz58w951klJRHdFnXDsSsHse/8PojDgjsvz8awZ25H8y8ro02FLhhe57u09F5+sbhrZSji\n3opDki0JU7ZMwfwdX+LIe5tw+7tDsPbMZ0hOFqzsswo1wopj0mTgyGFg5EigWDHgg00f4Of/+xld\nwh/AmE4R2Hk6Ct0mvYuwzcuw7kcbGsxogIXdl6BqQF0EBgL/JP6DetPq4a/+f6HXkt74+chGVPGv\nh2lNN+J/L1vg42Pu/X9u4DHc8WkbHP7nEJIGO7B5azJ84IvwcKBMOSsCRwfijrA78HTjp9H1pq6o\nPbU2vnv4O9QpXQerD6xGxwUdcW/NezGp4yQ0mdUEC+5bgM41OmPmHzOx9tBaDK62BHXqAGO3vI+L\nCRcxoeOEXN9iWOBb4n//bS5qpVr89+JMrV1EgMGjg1lnah2SZMPpDTn+1/E8d+UcEQH6DvNl+MRw\nNp3VlLd/fLvpF5sYzioTq9BvhB+rTKzCgJEBbDqrKYsOL8qSY0qmTfd5pRYf+eoJBo4yp4yvr3md\n70e+z7UH1xIRYNeFXRkwMoBWe/Z+2rNXzqaVb8WmA0Tx0wwdF0pEgA6Hg90XdeegtYMyzXP80nHW\nmlKLvsN8OXD1QJJkmbFl6PO+D8/Hn+f5+PPssahH2llAn6V92GxWM569kv1m+A1HNvD1Na9nGmez\n29hhXgcuiV5CRIB+I/x4Oekyg0YF8dyVcxy7aSwbTm/I03Hmpu3LSZd5zxf38MSlExy8bjAtwyxM\nsCYwPjme7T5rxwcWP5CW94DvBnDcr+NIZm5hkGSvJb0YNiGMS6KXpPWtpzoff56d5nfihfgL2dbh\ny7+/5Ls/vZs2bHfYaRlmSTuL6Lm4J7/Y+QW/3/c9H/360bQuhDUH1rD3kt459vNvPb6V1SZV48EL\nBxkwMiCt6yFoVBDfXPsmEQFahln44FcPcuqWqXzk60fYeEZjjv91PHef3c1tJ7ax/IflOXXLVNaf\nVp9Bo4I4YfMEhk0I458n/mTQqCAWH1GclxIvsdSYUvzl6C/cfXY3n//+eZYZW4bf7v6Wj379KBEB\nbj2e3glea0otRp+JzlbeVN/v+57FRxTnnD/nZJvmcDjYc3FPbonZws4LOjPqVBQf+uohbj62md0W\nduOhC4eyzXPokLlwf623213Nqcun2O6zdtx+cjubjOvI5rdfYvUaDvq8E8h+K/plK7ffCD/+k/AP\nW3/SmjUm1+Dus7sZFma6rD78kGw28H0GR4QzfGI4fV4LZ4Ux5nv4xHDWnlKb+8/vz5Tn5Mnm4nJe\nVuxdwddWv5Y2nHpXzfLl6WnCJoRx0NpBrDO1DuOT43kl+QpX7l/JGpNr8LXVr3HwusFp+3jGbe3o\nP0dZ+oPSbP1Ja/Ze0psVxlXgsA3DGDQqiPOi0m/+jz4TzdBxobQ77Dd2d8rCheQ9D5h+oxOXTrDM\n2DL8PeZ3vvPjO0QEWPOjmvz5yM/0H+nPDUc2sOzYsgwaFcRfjv7CulPr8ullT/OP43+w4/yORAT4\n6NeP8tf/+5X9VvTjd3u/44DvBnD5nuVMsCaw28JuaafEJDnu13FpXQu+w3zZdFZT/njoR5LkL0d/\nofdQb3aY1+GqZX946cMs/UFpeg/1ZoVxFVhseDF6D/XmjK0zWH9a/RxPn212Gx/5+pG0HbrtZ21Z\nYVwFd1YprXYr7/r8LiIC/GT7J+y8oHOe8+w5u4fPLn/2qtMX7FzADvM6cMfJHQwYGZDW10eSS6KX\ncNJvk646779RZWIVrju4jlGnolh9cnXuPLXzX83vcDjYdWFXFhtejC3mtEgb32FeBxYfUZztP2/P\n4RuGs9SYUmzzaRvO+XMOo89Es9GMRrzpo5t400c3sf93/Rk0KojhE8M5d9tc1p1al5GHI0mSneZ3\nYuMZjUmSr6x8JW2elnNbpl0bOHX5FBvNaMRkW3q33q1zbk27JpFVXFIcB64emHaK7i7XcBPIvxIX\nZy42tm9P3jrnNo74eUS2NNUmVeMzy55h609ap12rSUw0ty86HObhsBo1zK2stWs7V+ZrXa+sF1Gf\nW/4cfd73YfXJ1fnKylfYeUFnhk0I4+trXuf0rdMZOCqQoeNC0+7AyqjDvA586KuHaLPbOGzDMDaa\n0Yi7z2a/FazZrGacsHnCjR3Enx78F4MiKtHhcPDNtW/y5ZUvkyQ/3f4pEYG0VkbLuS3ZfVF39lvR\njx3nd+Rj3zzGu+fdnZbP8UvH2Wdpn391+9KfJ/5kw+kNue7gOpYcU5KIQNpFt4sJF4kI5Ngyyqjd\nZ+1Y/sPyLDmmJJvMbMJSY0qxzNgy/PnIz7nOl+qlH17KtB7u1HhGY1YcX5Gf77jKjeD/wolLJ9hk\nZhPWn1afD371oBtKlzOf932ICLD+tPpsObelU/3IWTkcDt700U2ZDkqfbv+UTWY24fFL5kmZaVum\nsfGMxjxy8UiOeXy+4/O0u5Ey+n7f95y4eeK/LlOXBV24fM/yHKf1WNSDiEDa9ZKCZMgQc3FvwuYJ\naQe6jBrPaJxpP87K4TDPCoSFZb/I+V87e+UsH1j8AI9fOs7QcaEMHBXIK8nmftsdJ3ew0YxGaY26\naxV1KorYLHQrAAAZgElEQVRNZzW9MYO4zUYuWRHLKvfPJSLAX//vV7ac2zJtQ954dCOLvF8krSuj\n5+KerDqpKkf8PIIzts6gZZiFj3/zuNvKgwiw6PCimcY9+e2TOXYDZE3Tc3FPdlnQhY998xjDJoQR\nEUjrssjL6gOrOfvP2ddc7txM3DyRd31+F2MTc7iF4jo1auMoLvzLiZvB8zB321wu27PMDSVyj0e/\nfpSfbv80bdjusPP3mN958vJJBo4KZId5HTLdtXOjSO2OuN79eOjHHM8k3CW3IO7UDyVfj/78E+gz\n5z1YG5rfa77t49sAAM1DmwMA6pepj35N+6VduCrjVwaHLh5CmeJlUL9MfSTbk1Hev7zbyjOi7QjU\nCqmVadzH3T7Oc77ONTrD4m1Bsj0ZPl4+2HZyGwCgZLGSTi337mp3//vCOunlFi/j5RYv/2f5/xfe\nbPWmW/J5qvFTbsnHXUoULYELCRew8/ROlChaAmsOrsGLK19EgG8Aut7UFfN6zMs7kwJo3N3jULZ4\n2bwTeljbKm3Rtkpbjyy7wAbxw4eBYrU2IskrEffUvCctMAf4BgAAgooGYXKnyWnpyxQvk/a3Tuk6\nAIDyAe4L4m/dnsur83LRs07PTMNjNo1BcNHgtIOPUoA5qC/dvRTDNw6Hr7cvKgZWxOx7Z2PD0Q0Y\n0XaEp4v3n/nfrf/zdBGuewU2Uuw7Eoe4ontQxKsIXrrlJdxV7a5c02cM4gG+AQgPDndrS9xdAiwB\nCPEL8XQx1HWmRLES2HRsExb3XIyTcSfxW8xvuK/2fejToI+ni6Y8zKkgLiIdAUyEef/4XJJjskwv\nBWA+gPIAvAGMI/mpe4ua2faTO1AhpC6ebd0VN1e4Oc/0qUE89dTs1RavonnF5v9lEa9JgG8AShUr\n5eliqOtMXLL5NY1utbrB4m3BS81f8nCJ1PUizyAuIl4ApgBoB+AEgK0isozkngzJXgCwg2QnEQkB\nsFdE5pO0/SelBrDvn79xU/UGeKf1O06lz9gSB3Dd7gT+Fn9tiatsetbpCYu3BRZvi6eLoq4zzvyy\nzy0A9pM8StIKYBGAblnSnAIQkPI9AMB5VwP4rl3mF0gefBA4fx7o2dP8ekyjRuaXumOS/0aj0HpO\n51emeBn4FfFDcUtxV4r1nwuwBKCUn7bEVWY1S9XEwNsGeroY6jrkTBAPBXAsw3BMyriMZgOoKyIn\nAEQBcPmWhuho4PffzW9NRkYCP/wALF5sfuNx1iwgMfBvtK/vfBCvUqJKgbgA5G/xR0gxbYkrpZzj\nrgubgwFEkbxTRKoBWCsiDUhm+1nciIiItO9t2rRBmzZtcsww9RfVK1YEFiwwvx1Yr55pnY+ZcBl4\neTuahebdF57K4m3BKy1e+Rer5Bk9avUAob9Sq1RhFhkZicjISKfSOhPEjwOonGG4Ysq4jFoCGAEA\nJA+KyGEAtQD8kTWzjEE8N6dPA2+/bX749okngCefNOMbNQLiKy1Hm9DbUaJYCafyKkiux4utSqn8\nlbWBO3To0KumdaY7ZSuA6iISJiIWAL0ALM+SZjeA9gAgImUB1ARw6F+VOotTp8wvf99+u/mF9Xvv\nBXad3YU9wRNRtfMK9G7S1ZXslVLqhpBnS5ykXUReALAG6bcY7haRvmYyZwEYBeATEYkCIADeIHnB\nlYKdPg20aQNUrQps3WrGdZj/Kn6L+Q2Xil1Cy0rvupK9UkrdEJzqEye5CsBNWcbNzPD9HIB73Vmw\n1JZ4qrNXzuL3mN8xsu1IvLP+HdQuXdudi1NKqQLpunti88IFYP160xIvm/LKhM3HNmPFvhVoHdYa\nTzZ+EuHB4fASZ3qClFLqxnbdBfHVq4H33wdiYoDQlBsZO8zvgMvJlzG63Wj4FfFDl5pdPFtIpZS6\nTlwXQXz+fMDhAM6cMT/ttHev+cm14inP5dQuXRtbjm9By8otPVtQpZS6zng8iDscwODBwPHjgI8P\n0LCh+Wni8PD0NJeSLmFa52m4teKtHiunUkpdjzwaxK1W4LbbgDJlTDCvUQPYsMH0hYeFmTRD1g/B\nnnN70KdBH3h7eXuyuEopdd3xaBBftcq0vtevN38BIDYWePppwL/KLkzdsh7v//w+ACDQN9CDJVVK\nqeuTR4P4118DjzwCFC2aPu60YxcONH0L0fZl+Gyl58qmlFIFgUfv09u+HWie5Snzp5Y9hZ6tGmHp\ng0sBAOX8y2HvC3s9UDqllLr+eawlnpxs7kKpWzd9XJItCdtPbcfGJzfCx8sHRX2Korx/edQsVdNT\nxVRKqeuax1riu3ebO1CKFUsZPrsbj337GCoFVkIR7yIQEZT3L5/2Iw5KKaWy81gQP3ECqJzh3Yhz\nt8/F4ujFqFayWtq48gEaxJVSKjceC+JWK2BJ+aUpkvhq11cIsASgWokMQVxb4koplSuPBfGDl6Lx\nS51m6LygMyKPRCLZnowH6jyA2iHpL7YKDw5HxcCKniqiUkpd94TMv1+RERGmLm/g7OUYd6Ibapaq\nidNxp9GuajvM7zEfPl4+KOJdBACQaEuEt3inDSulVGEkIiApOU3zWEvcZgPKx9+N6AHRaFSuEdpV\naYdiRYplCthFfYpqAFdKqVx47hZDuw1FUBw+Xj748bEfIZLjQUYppVQuPBfErTb4iFm8vhNFKaWu\njce6U5LtNniLx1+iqJRSBZrngrjNCh8vDeJKKeUKz90nbrfBx0svWiqllCs82BK3aUtcKaVc5Llb\nDO0axJVSylUe7k7RIK6UUq5wKoiLSEcR2SMi+0RkUA7TB4rIdhHZJiJ/iYhNRIJzy9PqsKGIBnGl\nlHJJnkFcRLwATAHQAUBdAL1FpFbGNCQ/JNmYZBMAgwFEkvwnt3ytdhuKeGsQV0opVzjTEr8FwH6S\nR0laASwC0C2X9L0BLMwrU5vDBh8N4kop5RJngngogGMZhmNSxmUjIsUAdASwNK9MbdoSV0opl7k7\nit4L4JfculIiIiIAADGbf0Jxa3U3L14ppQq+yMhIREZGOpU2z1fRikgLABEkO6YMvwmAJMfkkPZr\nAItJLrpKXmmvoq394ptoWCsIi54f7FRBlVKqsHL1VbRbAVQXkTARsQDoBWB5DgsJAnAHgGXOFMpO\nGyz6mlmllHJJnt0pJO0i8gKANTBBfy7J3SLS10zmrJSk3QGsJpngzIJtDu0TV0opVzkVRUmuAnBT\nlnEzswx/BuAzZxdspw0WHw3iSinlCs89du/QIK6UUq7yWBDXlrhSSrnOc0EcNliKaBBXSilXeCyI\nO2iDr7bElVLKJR7tTvHVlrhSSrnEg90pVu1OUUopF3muOwXanaKUUq7yaBAvatEnNpVSyhWeDeLa\nnaKUUi7xbHeKRYO4Ukq5wmNBnKItcaWUcpXngrg+7KOUUi7zXBD30sfulVLKVR7tTtFbDJVSyjUe\nC+IQ7U5RSilXeSSIkwC8rbDoj0IopZRLPBLE7XYAXvrLPkop5SoPB3F9YlMppVzhkSDucADwssHH\nS1viSinlCo+1xMVbg7hSSrnKo90pGsSVUso1GsSVUqoA82gQ9xZvTyxeKaVuGE4FcRHpKCJ7RGSf\niAy6Spo2IrJdRP4WkfW55We3AxS7tsSVUspFeUZREfECMAVAOwAnAGwVkWUk92RIEwRgKoC7SR4X\nkZDc8rTbAYgdXuK5B0aVUupG4EwUvQXAfpJHSVoBLALQLUuahwEsJXkcAEieyy1D051ih7eXdqco\npZQrnAnioQCOZRiOSRmXUU0AJUVkvYhsFZFHc8vQbgcAh7bElVLKRe7qlPYB0ARAWwDFAWwWkc0k\nD2RNGBERgfPnCfzlwMYNG3HnnXe6qQhKKXVjiIyMRGRkpFNphWTuCURaAIgg2TFl+E0AJDkmQ5pB\nAIqSHJoyPAfASpJLs+RFkti9x4E6i3zACMe/WC2llCqcRAQkJadpzvRnbAVQXUTCRMQCoBeA5VnS\nLAPQSkS8RcQPQHMAu6+WYbLNDlC7UpRSylV5dqeQtIvICwDWwAT9uSR3i0hfM5mzSO4RkdUAdgKw\nA5hFctfV8rTa7BDqRU2llHJVnt0pbl1YSnfK5j/i0XJZCBzD4vNt2UopVVC52p3idla7HeLBHxVS\nSqkbhWeCuHanKKWUW3gkiNvsDkCDuFJKuUy7U5RSqgDzWEtcoC1xpZRylQf7xLUlrpRSrvJgd4q2\nxJVSylWe607RC5tKKeUyz3Wn6IVNpZRymYda4tqdopRS7qB3pyilVAGm94krpVQB5rHuFC9tiSul\nlMs8E8Qd2p2ilFLu4MGWuHanKKWUq/TCplJKFWCea4nrL90rpZTLPNQnrveJK6WUO3isO0XvTlFK\nKdd5rCWu3SlKKeU6j0RSu0PvE1dKKXfw2H3iXqJBXCmlXOWZlrjenaKUUm7hVCQVkY4iskdE9onI\noBym3yEi/4jItpTPO7nlZ9PuFKWUcgufvBKIiBeAKQDaATgBYKuILCO5J0vSn0l2dWahdodDW+JK\nKeUGzkTSWwDsJ3mUpBXAIgDdckgnzi7U3J2iLXGllHKVM0E8FMCxDMMxKeOyulVEdojI9yJSJ7cM\n7XphUyml3CLP7hQn/QmgMsl4EekE4FsANXNKGBERgZ3rd+G87EFkZCTatGnjpiIopdSNITIyEpGR\nkU6lFZK5JxBpASCCZMeU4TcBkOSYXOY5DOBmkheyjCdJ9Hj3S+wvshR/v7fYqUIqpVRhJiIgmWOX\ntTPdKVsBVBeRMBGxAOgFYHmWBZTN8P0WmIPDBVyF3eGAt3anKKWUy/LsTiFpF5EXAKyBCfpzSe4W\nkb5mMmcB6Cki/QFYASQAeCi3PO362L1SSrmFU33iJFcBuCnLuJkZvk8FMNXZhdocdm2JK6WUG3ik\nOezQ7hSllHILzzx2T+1OUUopd/DQWwwd8PbSlrhSSrlKW+JKKVWAeex94toSV0op13nmwib1wqZS\nSrmDx7pTvL20O0UppVzloZa4dqcopZQ7eO7uFO1OUUopl3mwJa7dKUop5SoP9olrS1wppVzlsbtT\nfDSIK6WUy7Q7RSmlCjDP3SeuLXGllHKZ3ieulFIFmGda4rBrn7hSSrmBdqcopVQB5rELmz7anaKU\nUi7zXHeKt7bElVLKVXqfuFJKFWAeCeKE3p2ilFLu4LmWuHanKKWUyzzWJ+7trS1xpZRylVORVEQ6\nisgeEdknIoNySddMRKwicl9u+RF2FNE+caWUclmeQVxEvABMAdABQF0AvUWk1lXSjQawOq88HbCh\niI/Pvy+tUkqpTJxpid8CYD/JoyStABYB6JZDuhcBLAFwJq8MHWKFxbvIvyqoUkqp7JwJ4qEAjmUY\njkkZl0ZEKgDoTnI6AMkrQ4oVFh8N4kop5Sp39WlMBJCxr/yqgTwiIgJJ2//CGvqgvldptGnTxk1F\nUEqpG0NkZCQiIyOdSiskc08g0gJABMmOKcNvAiDJMRnSHEr9CiAEwBUAz5FcniUvkkSxZzpj+lPP\n44nbuji5SkopVXiJCEjm2Dh2piW+FUB1EQkDcBJALwC9MyYgWTXDwj4BsCJrAM/IIVb4aneKUkq5\nLM8gTtIuIi8AWAPThz6X5G4R6Wsmc1bWWfLMU/vElVLKLZzqEye5CsBNWcbNvErap/LMT1viSinl\nFp55d4qXFb5FNIgrpZSrPBfEtSWulFIu80wQF22JK6WUO3jmLVTaEldKKbfQPnGllCrAPNYSL6pB\nXCmlXJbvQZwE4K3dKUop5Q75HsTtdqT0iVvye9FKKXXDyfcg7nAA8LaiiL6KVimlXOaxlngRLw3i\nSinlKs8EcW2JK6WUW+R7ELfZCIgD3pL+G5vh4eEQkRviEx4ent9VqpQqxPL9hy4TrVbA4QOR9Ffj\nHj16FHm917ygyLheSin1X8v3lrgJ4tqVopRS7pDvQTzJaoVoEFdKKbfQIK6UUgVY/gdxm3anKKWU\nu3imJU4N4kop5Q4eaYkXtO6UixcvokePHvD390eVKlWwcOFCTxdJKaUAeOAWwySrFV4FrCU+YMAA\nFC1aFGfPnsW2bdvQpUsXNGrUCLVr1/Z00ZRShZxnWuIFKIjHx8fj66+/xvDhw1GsWDG0bNkS3bp1\nw7x58zxdNKWUyv8gnlzAgvi+fftQpEgRVKtWLW1cw4YNER0d7cFSKaWUkf/dKbZr605xx4OQ1/JQ\naFxcHAIDAzONCwwMxOXLl10vkFJKuciplriIdBSRPSKyT0QG5TC9q4hEich2EflDRNpeLa9rbYmT\nrn+uhb+/Py5dupRpXGxsLAICAq4tQ6WUcqM8g7iIeAGYAqADgLoAeotIrSzJ1pFsSLIxgCcBzLpa\nfkm25AJ1YbNmzZqw2Ww4ePBg2rioqCjUrVvXg6VSSinDmZb4LQD2kzxK0gpgEYBuGROQjM8w6A/g\n3NUyu2KLK1BB3M/PD/fddx/ee+89xMfH45dffsGKFSvw6KOPerpoSinlVBAPBXAsw3BMyrhMRKS7\niOwG8AOAl66W2fnEM/B2FP+35fSoqVOnIj4+HmXKlMEjjzyCGTNm6O2FSqnrgtsubJL8FsC3ItIK\nwDwAN+WUbtUX85F0LA4RERFo06YN2rRp464i/GdKlCiBb775xtPFUEoVEpGRkYiMjHQqreT1Hm8R\naQEggmTHlOE3AZDkmFzmOQjgFpLns4xnh+lPYPeW8jj68ciM42+o94nfKOuilLo+pMSVHO/Rc6Y7\nZSuA6iISJiIWAL0ALM+ygGoZvjcBgKwBPNWZxGPwtYc4W3allFK5yLM7haRdRF4AsAYm6M8luVtE\n+prJnAXgfhF5DEAygCsAHrpafmeTYhBkL+We0iulVCGXZ3eKWxcmQt/3/VB/z2JsXdAl4/gbpgvi\nRloXpdT1wdXuFLdKcsSjVDFtiSullDvkexAHgHKB2ieulFLu4JEgXiFYg7hSSrlDvgfxBjvWoWJI\ncH4vVimlbkj5HsTjdrZDyZL5vVSllLox5XsQP3YMKFXArmtOnToVzZo1Q9GiRfHUU095ujhKKZUm\n398nbrUWvCAeGhqKd999F6tXr0ZCQoKni6OUUmnyPYgDBS+Id+/eHQCwdetWHD9+3MOlUUqpdB65\nO6V0aU8sVSmlbjz53hK/dAnw8/v388lQ13+fjUP0SUql1I0l34P4tf6qmQZgpZTKziPdKUoppdxD\ng7gT7HY7EhMTYbfbYbPZkJSUBLvd7uliKaWUBnFnDB8+HH5+fhgzZgwWLFgAPz8/jBgxwtPFUkqp\n/H8VbU7Lu5Fe33ojrYtS6vpwXb2KVimllPtoEFdKqQJMg7hSShVgGsSVUqoA0yCulFIFmAZxpZQq\nwDzyFsOswsLCIOL6u1GuB2FhYZ4uglKqEHHqPnER6QhgIkzLfS7JMVmmPwxgUMrgZQD9Sf6VQz45\n3ieulFLq6ly6T1xEvABMAdABQF0AvUWkVpZkhwC0JtkQwHAAs10r8o0vMjLS00W4bmhdpNO6yEzr\nI2/O9InfAmA/yaMkrQAWAeiWMQHJ30jGpgz+BiDUvcW88ejGmU7rIp3WRWZaH3lzJoiHAjiWYTgG\nuQfpZwCsdKVQSimlnOPWC5sicieAJwG0cme+SimlcpbnhU0RaQEggmTHlOE3ATCHi5sNACwF0JHk\nwavkpVc1lVLqGlztwqYzLfGtAKqLSBiAkwB6AeidMYGIVIYJ4I9eLYDnVgillFLXJs8gTtIuIi8A\nWIP0Wwx3i0hfM5mzALwLoCSAaWJu+LaSvOW/LLhSSql8fp+4Ukop98q3x+5FpKOI7BGRfSIyKO85\nCjYRmSsip0VkZ4ZxJURkjYjsFZHVIhKUYdpgEdkvIrtF5G7PlPq/ISIVReQnEYkWkb9E5KWU8YWu\nPkTEV0R+F5HtKfUxMmV8oasLwDyHIiLbRGR5ynChrAeXkPzPPzAHiwMAwgAUAbADQK38WLanPjB3\n6DQCsDPDuDEA3kj5PgjA6JTvdQBsh+neCk+pK/H0OrixLsoBaJTy3R/AXgC1CnF9+KX89YZ5rqJl\nIa6LVwHMB7A8ZbhQ1oMrn/xqief5wNCNhuQvAC5mGd0NwGcp3z8D0D3le1cAi0jaSB4BsB+mzm4I\nJE+R3JHyPQ7AbgAVUXjrIz7lqy9MA+ciCmFdiEhFAJ0BzMkwutDVg6vyK4j/2weGblRlSJ4GTGAD\nUCZlfNb6OY4btH5EJBzmDOU3AGULY32kdCFsB3AKQCTJXSicdTEBwOsAMl6YK4z14BJ9Fa1nFaqr\nyiLiD2AJgJdTWuRZ179Q1AdJB8nGMGcjt4tIGxSyuhCRLgBOp5yh5Xbr8Q1dD+6QX0H8OIDKGYYr\npowrbE6LSFkAEJFyAM6kjD8OoFKGdDdc/YiID0wAn0dyWcroQlsfAEDyEoAfADRF4auLlgC6isgh\nAAsBtBWReQBOFbJ6cFl+BfG0B4ZExALzwNDyfFq2JwkytzKWA3gi5fvjAJZlGN9LRCwiUgVAdQBb\n8quQ+eRjALtITsowrtDVh4iEpN5xISLFANwFc8GuUNUFybdIViZZFSYe/ETyUQArUIjqwS3y6woq\ngI4wdyXsB/Cmp6/o5sP6fgHgBIAkAP8H806ZEgDWpdTDGgDBGdIPhrnivhvA3Z4uv5vroiUAO8xd\nSdsBbEvZHkoWtvoAUD9l/bcDiAIwMGV8oauLDOt3B9LvTim09XCtH33YRymlCjC9sKmUUgWYBnGl\nlCrANIgrpVQBpkFcKaUKMA3iSilVgGkQV0qpAkyDuFJKFWAaxJVSqgD7f3LWS+xdI6UNAAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79855e59d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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qCPg1AF4eXhj33Dh4eniiQekGyOudN03d+gT3QWRsJK7dvpa4b6w+thqnrp/C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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7964ac8590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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41oGrgytOPTiFt+u8nWte3xz9Bl6PvbBnyB4M3D4Qpx+ehlKthIpU6FW/F/YP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\nuUqAGdlr2wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f797c06cd90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data=shelve.open(\"./scores/RAW_ASR_TRAIN.shelve\")\n",
    "scores={}\n",
    "#del scores_ordoned\n",
    "for key,table in data.iteritems():\n",
    "    scores[key]=round(table[1][np.argmax([x[0] for x in table[0]])][0],3)\n",
    "    print key,scores[key]\n",
    "   # if key not in scores_ordoned:\n",
    "   #     scores_ordoned[key]=[scores[key]]\n",
    "   # else :\n",
    "   #     scores_ordoned[key].append(scores[key])\n",
    "#data.close()\n",
    "#show_network_TRANS(scores)\n",
    "    pandas.DataFrame(zip([x[0] for x in data[key][0] ],[x[0] for x in data[key][1] ])).plot()\n",
    "data.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scores/MINIAE_BIGBIN_TANH.shelve\n"
     ]
    },
    {
     "data": {
      "image/png": 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rqD+/PrwcvTCr6yz8ceYPlLcrj75/9MXNpJuo614Xy08ux6moU2hXtR1ae7dG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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f79605d8fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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