{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "y = np.random.rand(10)\n",
    "x = np.arange(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10ff56e50>]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEGCAYAAABiq/5QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n1TcnD7uscQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fee7890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "left, bottom, width, height = 0.1, 0.1, 0.8, 0.8\n",
    "fig1 = plt.figure()\n",
    "ax1 = fig1.add_axes((left, bottom, width, height), axisbg=\"#e1e1e1\")\n",
    "ax1.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10ffa8490>]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD/CAYAAADhYy38AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ffa82d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax2 = plt.axes()\n",
    "ax2.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.axes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAD/CAYAAAD7X81yAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11004e510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aaa = plt.axes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x110b32390>]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD/CAYAAADhYy38AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nG2NMRligG2NMRvwfHtwAdRFBW+8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110936250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ccc = plt.subplot(111)\n",
    "ccc.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAD/CAYAAAAQaHZxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1124d8350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5,ax5 = plt.subplots(2,3)\n",
    "data1 = np.random.randn(200, 2) * np.array([3, 1])\n",
    "data2 = np.random.randn(200, 2) * np.array([1, 3])\n",
    "ax5[0,0].bar\n",
    "ax5[0,0].scatter(data1[:,0], data1[:,1], color=\"green\", marker=\"s\", s=30, alpha=0.5)\n",
    "ax5[0,0].scatter(data2[:,0], data2[:,1], color=\"blue\", marker=\"o\", s=30, alpha=0.5)\n",
    "\n",
    "ax5[1,0].hist([data1[:,1], data2[:,1]], bins=15, color=[\"green\", \"blue\"], alpha=0.5, orientation='horizontal');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeMAAADjCAYAAAC2AHyMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112ceeb90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3.5), sharey=True)\n",
    "\n",
    "data1 = np.random.randn(200, 2) * np.array([3, 1])\n",
    "#area1 = (np.random.randn(200) + 0.5) * 100\n",
    "\n",
    "data2 = np.random.randn(200, 2) * np.array([1, 3])\n",
    "#area2 = (np.random.randn(200) + 0.5) * 100\n",
    "axes[0].bar\n",
    "axes[0].scatter(data1[:,0], data1[:,1], color=\"green\", marker=\"s\", s=30, alpha=0.5)\n",
    "axes[0].scatter(data2[:,0], data2[:,1], color=\"blue\", marker=\"o\", s=30, alpha=0.5)\n",
    "\n",
    "axes[1].hist([data1[:,1], data2[:,1]], bins=15, color=[\"green\", \"blue\"], alpha=0.5, orientation='horizontal');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x113c310d0>]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEDCAYAAADOc0QpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nD/37220tT1MXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11312f250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.subplot(111)\n",
    "ax.bar(x,y)\n",
    "ax.plot(np.arange(10))\n",
    "ax.plot(np.sin(np.linspace(1,5,num=10)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "np.linspace?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.84147098,  0.99202822,  0.94983371,  0.72308588,  0.35584199,\n",
       "       -0.08054223, -0.50127705, -0.8246134 , -0.98772683, -0.95892427])"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sin(np.linspace(1,5,num=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'bmh': RcParams({u'axes.edgecolor': u'#bcbcbc',\n",
       "          u'axes.facecolor': u'#eeeeee',\n",
       "          u'axes.grid': True,\n",
       "          u'axes.labelsize': u'large',\n",
       "          u'axes.prop_cycle': cycler(u'color', [u'#348ABD', u'#A60628', u'#7A68A6', u'#467821', u'#D55E00', u'#CC79A7', u'#56B4E9', u'#009E73', u'#F0E442', u'#0072B2']),\n",
       "          u'axes.titlesize': u'x-large',\n",
       "          u'legend.fancybox': True,\n",
       "          u'lines.linewidth': 2.0,\n",
       "          u'mathtext.fontset': u'cm',\n",
       "          u'patch.antialiased': True,\n",
       "          u'patch.edgecolor': u'#eeeeee',\n",
       "          u'patch.facecolor': u'blue',\n",
       "          u'patch.linewidth': 0.5,\n",
       "          u'text.hinting_factor': 8}),\n",
       " u'classic': RcParams({u'agg.path.chunksize': 0,\n",
       "          u'animation.avconv_args': [],\n",
       "          u'animation.avconv_path': u'avconv',\n",
       "          u'animation.bitrate': -1,\n",
       "          u'animation.codec': u'mpeg4',\n",
       "          u'animation.convert_args': [],\n",
       "          u'animation.convert_path': u'convert',\n",
       "          u'animation.ffmpeg_args': [],\n",
       "          u'animation.ffmpeg_path': u'ffmpeg',\n",
       "          u'animation.frame_format': u'png',\n",
       "          u'animation.html': u'none',\n",
       "          u'animation.mencoder_args': [],\n",
       "          u'animation.mencoder_path': u'mencoder',\n",
       "          u'animation.writer': u'ffmpeg',\n",
       "          u'axes.axisbelow': False,\n",
       "          u'axes.edgecolor': u'k',\n",
       "          u'axes.facecolor': u'w',\n",
       "          u'axes.formatter.limits': [-7, 7],\n",
       "          u'axes.formatter.use_locale': False,\n",
       "          u'axes.formatter.use_mathtext': False,\n",
       "          u'axes.formatter.useoffset': True,\n",
       "          u'axes.grid': False,\n",
       "          u'axes.grid.axis': u'both',\n",
       "          u'axes.grid.which': u'major',\n",
       "          u'axes.hold': True,\n",
       "          u'axes.labelcolor': u'k',\n",
       "          u'axes.labelpad': 5.0,\n",
       "          u'axes.labelsize': u'medium',\n",
       "          u'axes.labelweight': u'normal',\n",
       "          u'axes.linewidth': 1.0,\n",
       "          u'axes.prop_cycle': cycler(u'color', [u'b', u'g', u'r', u'c', u'm', u'y', u'k']),\n",
       "          u'axes.spines.bottom': True,\n",
       "          u'axes.spines.left': True,\n",
       "          u'axes.spines.right': True,\n",
       "          u'axes.spines.top': True,\n",
       "          u'axes.titlesize': u'large',\n",
       "          u'axes.titleweight': u'normal',\n",
       "          u'axes.unicode_minus': True,\n",
       "          u'axes.xmargin': 0.0,\n",
       "          u'axes.ymargin': 0.0,\n",
       "          u'axes3d.grid': True,\n",
       "          u'boxplot.bootstrap': None,\n",
       "          u'boxplot.boxprops.color': u'b',\n",
       "          u'boxplot.boxprops.linestyle': u'-',\n",
       "          u'boxplot.boxprops.linewidth': 1.0,\n",
       "          u'boxplot.capprops.color': u'k',\n",
       "          u'boxplot.capprops.linestyle': u'-',\n",
       "          u'boxplot.capprops.linewidth': 1.0,\n",
       "          u'boxplot.flierprops.color': u'b',\n",
       "          u'boxplot.flierprops.linestyle': u'-',\n",
       "          u'boxplot.flierprops.linewidth': 1.0,\n",
       "          u'boxplot.flierprops.marker': u'+',\n",
       "          u'boxplot.flierprops.markeredgecolor': u'k',\n",
       "          u'boxplot.flierprops.markerfacecolor': u'b',\n",
       "          u'boxplot.flierprops.markersize': 6.0,\n",
       "          u'boxplot.meanline': False,\n",
       "          u'boxplot.meanprops.color': u'r',\n",
       "          u'boxplot.meanprops.linestyle': u'-',\n",
       "          u'boxplot.meanprops.linewidth': 1.0,\n",
       "          u'boxplot.medianprops.color': u'r',\n",
       "          u'boxplot.medianprops.linestyle': u'-',\n",
       "          u'boxplot.medianprops.linewidth': 1.0,\n",
       "          u'boxplot.notch': False,\n",
       "          u'boxplot.patchartist': False,\n",
       "          u'boxplot.showbox': True,\n",
       "          u'boxplot.showcaps': True,\n",
       "          u'boxplot.showfliers': True,\n",
       "          u'boxplot.showmeans': False,\n",
       "          u'boxplot.vertical': True,\n",
       "          u'boxplot.whiskerprops.color': u'b',\n",
       "          u'boxplot.whiskerprops.linestyle': u'--',\n",
       "          u'boxplot.whiskerprops.linewidth': 1.0,\n",
       "          u'boxplot.whiskers': 1.5,\n",
       "          u'contour.corner_mask': True,\n",
       "          u'contour.negative_linestyle': u'dashed',\n",
       "          u'errorbar.capsize': 3.0,\n",
       "          u'figure.autolayout': False,\n",
       "          u'figure.dpi': 80.0,\n",
       "          u'figure.edgecolor': u'w',\n",
       "          u'figure.facecolor': u'0.75',\n",
       "          u'figure.figsize': [8.0, 6.0],\n",
       "          u'figure.frameon': True,\n",
       "          u'figure.max_open_warning': 20,\n",
       "          u'figure.subplot.bottom': 0.1,\n",
       "          u'figure.subplot.hspace': 0.2,\n",
       "          u'figure.subplot.left': 0.125,\n",
       "          u'figure.subplot.right': 0.9,\n",
       "          u'figure.subplot.top': 0.9,\n",
       "          u'figure.subplot.wspace': 0.2,\n",
       "          u'figure.titlesize': u'medium',\n",
       "          u'figure.titleweight': u'normal',\n",
       "          u'font.cursive': [u'Apple Chancery',\n",
       "                            u'Textile',\n",
       "                            u'Zapf Chancery',\n",
       "                            u'Sand',\n",
       "                            u'Script MT',\n",
       "                            u'Felipa',\n",
       "                            u'cursive'],\n",
       "          u'font.family': [u'sans-serif'],\n",
       "          u'font.fantasy': [u'Comic Sans MS',\n",
       "                            u'Chicago',\n",
       "                            u'Charcoal',\n",
       "                            u'ImpactWestern',\n",
       "                            u'Humor Sans',\n",
       "                            u'fantasy'],\n",
       "          u'font.monospace': [u'Bitstream Vera Sans Mono',\n",
       "                              u'DejaVu Sans Mono',\n",
       "                              u'Andale Mono',\n",
       "                              u'Nimbus Mono L',\n",
       "                              u'Courier New',\n",
       "                              u'Courier',\n",
       "                              u'Fixed',\n",
       "                              u'Terminal',\n",
       "                              u'monospace'],\n",
       "          u'font.sans-serif': [u'Bitstream Vera Sans',\n",
       "                               u'DejaVu Sans',\n",
       "                               u'Lucida Grande',\n",
       "                               u'Verdana',\n",
       "                               u'Geneva',\n",
       "                               u'Lucid',\n",
       "                               u'Arial',\n",
       "                               u'Helvetica',\n",
       "                               u'Avant Garde',\n",
       "                               u'sans-serif'],\n",
       "          u'font.serif': [u'Bitstream Vera Serif',\n",
       "                          u'DejaVu Serif',\n",
       "                          u'New Century Schoolbook',\n",
       "                          u'Century Schoolbook L',\n",
       "                          u'Utopia',\n",
       "                          u'ITC Bookman',\n",
       "                          u'Bookman',\n",
       "                          u'Nimbus Roman No9 L',\n",
       "                          u'Times New Roman',\n",
       "                          u'Times',\n",
       "                          u'Palatino',\n",
       "                          u'Charter',\n",
       "                          u'serif'],\n",
       "          u'font.size': 12.0,\n",
       "          u'font.stretch': u'normal',\n",
       "          u'font.style': u'normal',\n",
       "          u'font.variant': u'normal',\n",
       "          u'font.weight': u'normal',\n",
       "          u'grid.alpha': 1.0,\n",
       "          u'grid.color': u'k',\n",
       "          u'grid.linestyle': u':',\n",
       "          u'grid.linewidth': 0.5,\n",
       "          u'image.aspect': u'equal',\n",
       "          u'image.cmap': u'jet',\n",
       "          u'image.composite_image': True,\n",
       "          u'image.interpolation': u'bilinear',\n",
       "          u'image.lut': 256,\n",
       "          u'image.origin': u'upper',\n",
       "          u'image.resample': False,\n",
       "          u'keymap.all_axes': [u'a'],\n",
       "          u'keymap.back': [u'left', u'c', u'backspace'],\n",
       "          u'keymap.forward': [u'right', u'v'],\n",
       "          u'keymap.fullscreen': [u'f', u'ctrl+f'],\n",
       "          u'keymap.grid': [u'g'],\n",
       "          u'keymap.home': [u'h', u'r', u'home'],\n",
       "          u'keymap.pan': [u'p'],\n",
       "          u'keymap.quit': [u'ctrl+w', u'cmd+w'],\n",
       "          u'keymap.save': [u's', u'ctrl+s'],\n",
       "          u'keymap.xscale': [u'k', u'L'],\n",
       "          u'keymap.yscale': [u'l'],\n",
       "          u'keymap.zoom': [u'o'],\n",
       "          u'legend.borderaxespad': 0.5,\n",
       "          u'legend.borderpad': 0.4,\n",
       "          u'legend.columnspacing': 2.0,\n",
       "          u'legend.edgecolor': u'inherit',\n",
       "          u'legend.facecolor': u'inherit',\n",
       "          u'legend.fancybox': False,\n",
       "          u'legend.fontsize': u'large',\n",
       "          u'legend.framealpha': None,\n",
       "          u'legend.frameon': True,\n",
       "          u'legend.handleheight': 0.7,\n",
       "          u'legend.handlelength': 2.0,\n",
       "          u'legend.handletextpad': 0.8,\n",
       "          u'legend.isaxes': True,\n",
       "          u'legend.labelspacing': 0.5,\n",
       "          u'legend.loc': u'upper right',\n",
       "          u'legend.markerscale': 1.0,\n",
       "          u'legend.numpoints': 2,\n",
       "          u'legend.scatterpoints': 3,\n",
       "          u'legend.shadow': False,\n",
       "          u'lines.antialiased': True,\n",
       "          u'lines.color': u'b',\n",
       "          u'lines.dash_capstyle': u'butt',\n",
       "          u'lines.dash_joinstyle': u'round',\n",
       "          u'lines.linestyle': u'-',\n",
       "          u'lines.linewidth': 1.0,\n",
       "          u'lines.marker': u'None',\n",
       "          u'lines.markeredgewidth': 0.5,\n",
       "          u'lines.markersize': 6.0,\n",
       "          u'lines.solid_capstyle': u'projecting',\n",
       "          u'lines.solid_joinstyle': u'round',\n",
       "          u'markers.fillstyle': u'full',\n",
       "          u'mathtext.bf': u'serif:bold',\n",
       "          u'mathtext.cal': u'cursive',\n",
       "          u'mathtext.default': u'it',\n",
       "          u'mathtext.fallback_to_cm': True,\n",
       "          u'mathtext.fontset': u'cm',\n",
       "          u'mathtext.it': u'serif:italic',\n",
       "          u'mathtext.rm': u'serif',\n",
       "          u'mathtext.sf': u'sans\\\\-serif',\n",
       "          u'mathtext.tt': u'monospace',\n",
       "          u'nbagg.transparent': True,\n",
       "          u'patch.antialiased': True,\n",
       "          u'patch.edgecolor': u'k',\n",
       "          u'patch.facecolor': u'b',\n",
       "          u'patch.linewidth': 1.0,\n",
       "          u'path.simplify': True,\n",
       "          u'path.simplify_threshold': 0.1111111111111111,\n",
       "          u'path.sketch': None,\n",
       "          u'path.snap': True,\n",
       "          u'pdf.compression': 6,\n",
       "          u'pdf.fonttype': 3,\n",
       "          u'pdf.inheritcolor': False,\n",
       "          u'pdf.use14corefonts': False,\n",
       "          u'pgf.debug': False,\n",
       "          u'pgf.preamble': [],\n",
       "          u'pgf.rcfonts': True,\n",
       "          u'pgf.texsystem': u'xelatex',\n",
       "          u'polaraxes.grid': True,\n",
       "          u'ps.distiller.res': 6000,\n",
       "          u'ps.fonttype': 3,\n",
       "          u'ps.papersize': u'letter',\n",
       "          u'ps.useafm': False,\n",
       "          u'ps.usedistiller': False,\n",
       "          u'savefig.bbox': None,\n",
       "          u'savefig.directory': u'~',\n",
       "          u'savefig.dpi': 100.0,\n",
       "          u'savefig.edgecolor': u'w',\n",
       "          u'savefig.facecolor': u'w',\n",
       "          u'savefig.format': u'png',\n",
       "          u'savefig.frameon': True,\n",
       "          u'savefig.jpeg_quality': 95,\n",
       "          u'savefig.orientation': u'portrait',\n",
       "          u'savefig.pad_inches': 0.1,\n",
       "          u'savefig.transparent': False,\n",
       "          u'svg.fonttype': u'path',\n",
       "          u'svg.image_inline': True,\n",
       "          u'svg.image_noscale': False,\n",
       "          u'text.antialiased': True,\n",
       "          u'text.color': u'k',\n",
       "          u'text.dvipnghack': None,\n",
       "          u'text.hinting': u'auto',\n",
       "          u'text.hinting_factor': 8,\n",
       "          u'text.latex.preamble': [],\n",
       "          u'text.latex.preview': False,\n",
       "          u'text.latex.unicode': False,\n",
       "          u'text.usetex': False,\n",
       "          u'tk.window_focus': False,\n",
       "          u'toolbar': u'toolbar2',\n",
       "          u'verbose.fileo': u'sys.stdout',\n",
       "          u'verbose.level': u'silent',\n",
       "          u'xtick.color': u'k',\n",
       "          u'xtick.direction': u'in',\n",
       "          u'xtick.labelsize': u'medium',\n",
       "          u'xtick.major.pad': 4.0,\n",
       "          u'xtick.major.size': 4.0,\n",
       "          u'xtick.major.width': 0.5,\n",
       "          u'xtick.minor.pad': 4.0,\n",
       "          u'xtick.minor.size': 2.0,\n",
       "          u'xtick.minor.visible': False,\n",
       "          u'xtick.minor.width': 0.5,\n",
       "          u'ytick.color': u'k',\n",
       "          u'ytick.direction': u'in',\n",
       "          u'ytick.labelsize': u'medium',\n",
       "          u'ytick.major.pad': 4.0,\n",
       "          u'ytick.major.size': 4.0,\n",
       "          u'ytick.major.width': 0.5,\n",
       "          u'ytick.minor.pad': 4.0,\n",
       "          u'ytick.minor.size': 2.0,\n",
       "          u'ytick.minor.visible': False,\n",
       "          u'ytick.minor.width': 0.5}),\n",
       " u'dark_background': RcParams({u'axes.edgecolor': u'white',\n",
       "          u'axes.facecolor': u'black',\n",
       "          u'axes.labelcolor': u'white',\n",
       "          u'axes.prop_cycle': cycler(u'color', [u'#8dd3c7', u'#feffb3', u'#bfbbd9', u'#fa8174', u'#81b1d2', u'#fdb462', u'#b3de69', u'#bc82bd', u'#ccebc4', u'#ffed6f']),\n",
       "          u'figure.edgecolor': u'black',\n",
       "          u'figure.facecolor': u'black',\n",
       "          u'grid.color': u'white',\n",
       "          u'lines.color': u'white',\n",
       "          u'patch.edgecolor': u'white',\n",
       "          u'savefig.edgecolor': u'black',\n",
       "          u'savefig.facecolor': u'black',\n",
       "          u'text.color': u'white',\n",
       "          u'xtick.color': u'white',\n",
       "          u'ytick.color': u'white'}),\n",
       " u'fivethirtyeight': RcParams({u'axes.axisbelow': True,\n",
       "          u'axes.edgecolor': u'#f0f0f0',\n",
       "          u'axes.facecolor': u'#f0f0f0',\n",
       "          u'axes.grid': True,\n",
       "          u'axes.labelsize': u'large',\n",
       "          u'axes.linewidth': 3.0,\n",
       "          u'axes.prop_cycle': cycler(u'color', [u'#30a2da', u'#fc4f30', u'#e5ae38', u'#6d904f', u'#8b8b8b']),\n",
       "          u'axes.titlesize': u'x-large',\n",
       "          u'figure.facecolor': u'#f0f0f0',\n",
       "          u'figure.subplot.bottom': 0.07,\n",
       "          u'figure.subplot.left': 0.08,\n",
       "          u'figure.subplot.right': 0.95,\n",
       "          u'font.size': 14.0,\n",
       "          u'grid.color': u'#cbcbcb',\n",
       "          u'grid.linestyle': u'-',\n",
       "          u'grid.linewidth': 1.0,\n",
       "          u'legend.fancybox': True,\n",
       "          u'lines.linewidth': 4.0,\n",
       "          u'lines.solid_capstyle': u'butt',\n",
       "          u'patch.edgecolor': u'#f0f0f0',\n",
       "          u'patch.linewidth': 0.5,\n",
       "          u'savefig.edgecolor': u'#f0f0f0',\n",
       "          u'savefig.facecolor': u'#f0f0f0',\n",
       "          u'svg.fonttype': u'path',\n",
       "          u'xtick.major.size': 0.0,\n",
       "          u'xtick.minor.size': 0.0,\n",
       "          u'ytick.major.size': 0.0,\n",
       "          u'ytick.minor.size': 0.0}),\n",
       " u'ggplot': RcParams({u'axes.axisbelow': True,\n",
       "          u'axes.edgecolor': u'white',\n",
       "          u'axes.facecolor': u'#E5E5E5',\n",
       "          u'axes.grid': True,\n",
       "          u'axes.labelcolor': u'#555555',\n",
       "          u'axes.labelsize': u'large',\n",
       "          u'axes.linewidth': 1.0,\n",
       "          u'axes.prop_cycle': cycler(u'color', [u'#E24A33', u'#348ABD', u'#988ED5', u'#777777', u'#FBC15E', u'#8EBA42', u'#FFB5B8']),\n",
       "          u'axes.titlesize': u'x-large',\n",
       "          u'figure.edgecolor': u'0.50',\n",
       "          u'figure.facecolor': u'white',\n",
       "          u'font.size': 10.0,\n",
       "          u'grid.color': u'white',\n",
       "          u'grid.linestyle': u'-',\n",
       "          u'patch.antialiased': True,\n",
       "          u'patch.edgecolor': u'#EEEEEE',\n",
       "          u'patch.facecolor': u'#348ABD',\n",
       "          u'patch.linewidth': 0.5,\n",
       "          u'xtick.color': u'#555555',\n",
       "          u'xtick.direction': u'out',\n",
       "          u'ytick.color': u'#555555',\n",
       "          u'ytick.direction': u'out'}),\n",
       " u'grayscale': RcParams({u'axes.edgecolor': u'black',\n",
       "          u'axes.facecolor': u'white',\n",
       "          u'axes.labelcolor': u'black',\n",
       "          u'axes.prop_cycle': cycler(u'color', [u'0.00', u'0.40', u'0.60', u'0.70']),\n",
       "          u'figure.edgecolor': u'white',\n",
       "          u'figure.facecolor': u'0.75',\n",
       "          u'grid.color': u'black',\n",
       "          u'image.cmap': u'gray',\n",
       "          u'lines.color': u'black',\n",
       "          u'patch.edgecolor': u'black',\n",
       "          u'patch.facecolor': u'gray',\n",
       "          u'savefig.edgecolor': u'white',\n",
       "          u'savefig.facecolor': u'white',\n",
       "          u'text.color': u'black',\n",
       "          u'xtick.color': u'black',\n",
       "          u'ytick.color': u'black'}),\n",
       " u'seaborn-bright': RcParams({u'axes.prop_cycle': cycler(u'color', [u'#003FFF', u'#03ED3A', u'#E8000B', u'#8A2BE2', u'#FFC400', u'#00D7FF'])}),\n",
       " u'seaborn-colorblind': RcParams({u'axes.prop_cycle': cycler(u'color', [u'#0072B2', u'#009E73', u'#D55E00', u'#CC79A7', u'#F0E442', u'#56B4E9'])}),\n",
       " u'seaborn-dark': RcParams({u'axes.axisbelow': True,\n",
       "          u'axes.edgecolor': u'white',\n",
       "          u'axes.facecolor': u'#EAEAF2',\n",
       "          u'axes.grid': False,\n",
       "          u'axes.labelcolor': u'.15',\n",
       "          u'axes.linewidth': 0.0,\n",
       "          u'figure.facecolor': u'white',\n",
       "          u'font.family': [u'sans-serif'],\n",
       "          u'font.sans-serif': [u'Arial',\n",
       "                               u'Liberation Sans',\n",
       "                               u'Bitstream Vera Sans',\n",
       "                               u'sans-serif'],\n",
       "          u'grid.color': u'white',\n",
       "          u'grid.linestyle': u'-',\n",
       "          u'image.cmap': u'Greys',\n",
       "          u'legend.frameon': False,\n",
       "          u'legend.numpoints': 1,\n",
       "          u'legend.scatterpoints': 1,\n",
       "          u'lines.solid_capstyle': u'round',\n",
       "          u'text.color': u'.15',\n",
       "          u'xtick.color': u'.15',\n",
       "          u'xtick.direction': u'out',\n",
       "          u'xtick.major.size': 0.0,\n",
       "          u'xtick.minor.size': 0.0,\n",
       "          u'ytick.color': u'.15',\n",
       "          u'ytick.direction': u'out',\n",
       "          u'ytick.major.size': 0.0,\n",
       "          u'ytick.minor.size': 0.0}),\n",
       " u'seaborn-dark-palette': RcParams({u'axes.prop_cycle': cycler(u'color', [u'#001C7F', u'#017517', u'#8C0900', u'#7600A1', u'#B8860B', u'#006374'])}),\n",
       " u'seaborn-darkgrid': RcParams({u'axes.axisbelow': True,\n",
       "          u'axes.edgecolor': u'white',\n",
       "          u'axes.facecolor': u'#EAEAF2',\n",
       "          u'axes.grid': True,\n",
       "          u'axes.labelcolor': u'.15',\n",
       "          u'axes.linewidth': 0.0,\n",
       "          u'figure.facecolor': u'white',\n",
       "          u'font.family': [u'sans-serif'],\n",
       "          u'font.sans-serif': [u'Arial',\n",
       "                               u'Liberation Sans',\n",
       "                               u'Bitstream Vera Sans',\n",
       "                               u'sans-serif'],\n",
       "          u'grid.color': u'white',\n",
       "          u'grid.linestyle': u'-',\n",
       "          u'image.cmap': u'Greys',\n",
       "          u'legend.frameon': False,\n",
       "          u'legend.numpoints': 1,\n",
       "          u'legend.scatterpoints': 1,\n",
       "          u'lines.solid_capstyle': u'round',\n",
       "          u'text.color': u'.15',\n",
       "          u'xtick.color': u'.15',\n",
       "          u'xtick.direction': u'out',\n",
       "          u'xtick.major.size': 0.0,\n",
       "          u'xtick.minor.size': 0.0,\n",
       "          u'ytick.color': u'.15',\n",
       "          u'ytick.direction': u'out',\n",
       "          u'ytick.major.size': 0.0,\n",
       "          u'ytick.minor.size': 0.0}),\n",
       " u'seaborn-deep': RcParams({u'axes.prop_cycle': cycler(u'color', [u'#4C72B0', u'#55A868', u'#C44E52', u'#8172B2', u'#CCB974', u'#64B5CD'])}),\n",
       " u'seaborn-muted': RcParams({u'axes.prop_cycle': cycler(u'color', [u'#4878CF', u'#6ACC65', u'#D65F5F', u'#B47CC7', u'#C4AD66', u'#77BEDB'])}),\n",
       " u'seaborn-notebook': RcParams({u'axes.labelsize': 11.0,\n",
       "          u'axes.titlesize': 12.0,\n",
       "          u'figure.figsize': [8.0, 5.5],\n",
       "          u'grid.linewidth': 1.0,\n",
       "          u'legend.fontsize': 10.0,\n",
       "          u'lines.linewidth': 1.75,\n",
       "          u'lines.markeredgewidth': 0.0,\n",
       "          u'lines.markersize': 7.0,\n",
       "          u'patch.linewidth': 0.3,\n",
       "          u'xtick.labelsize': 10.0,\n",
       "          u'xtick.major.pad': 7.0,\n",
       "          u'xtick.major.width': 1.0,\n",
       "          u'xtick.minor.width': 0.5,\n",
       "          u'ytick.labelsize': 10.0,\n",
       "          u'ytick.major.pad': 7.0,\n",
       "          u'ytick.major.width': 1.0,\n",
       "          u'ytick.minor.width': 0.5}),\n",
       " u'seaborn-paper': RcParams({u'axes.labelsize': 8.8,\n",
       "          u'axes.titlesize': 9.6,\n",
       "          u'figure.figsize': [6.4, 4.4],\n",
       "          u'grid.linewidth': 0.8,\n",
       "          u'legend.fontsize': 8.0,\n",
       "          u'lines.linewidth': 1.4,\n",
       "          u'lines.markeredgewidth': 0.0,\n",
       "          u'lines.markersize': 5.6,\n",
       "          u'patch.linewidth': 0.24,\n",
       "          u'xtick.labelsize': 8.0,\n",
       "          u'xtick.major.pad': 5.6,\n",
       "          u'xtick.major.width': 0.8,\n",
       "          u'xtick.minor.width': 0.4,\n",
       "          u'ytick.labelsize': 8.0,\n",
       "          u'ytick.major.pad': 5.6,\n",
       "          u'ytick.major.width': 0.8,\n",
       "          u'ytick.minor.width': 0.4}),\n",
       " u'seaborn-pastel': RcParams({u'axes.prop_cycle': cycler(u'color', [u'#92C6FF', u'#97F0AA', u'#FF9F9A', u'#D0BBFF', u'#FFFEA3', u'#B0E0E6'])}),\n",
       " u'seaborn-poster': RcParams({u'axes.labelsize': 17.6,\n",
       "          u'axes.titlesize': 19.2,\n",
       "          u'figure.figsize': [12.8, 8.8],\n",
       "          u'grid.linewidth': 1.6,\n",
       "          u'legend.fontsize': 16.0,\n",
       "          u'lines.linewidth': 2.8,\n",
       "          u'lines.markeredgewidth': 0.0,\n",
       "          u'lines.markersize': 11.2,\n",
       "          u'patch.linewidth': 0.48,\n",
       "          u'xtick.labelsize': 16.0,\n",
       "          u'xtick.major.pad': 11.2,\n",
       "          u'xtick.major.width': 1.6,\n",
       "          u'xtick.minor.width': 0.8,\n",
       "          u'ytick.labelsize': 16.0,\n",
       "          u'ytick.major.pad': 11.2,\n",
       "          u'ytick.major.width': 1.6,\n",
       "          u'ytick.minor.width': 0.8}),\n",
       " u'seaborn-talk': RcParams({u'axes.labelsize': 14.3,\n",
       "          u'axes.titlesize': 15.6,\n",
       "          u'figure.figsize': [10.4, 7.15],\n",
       "          u'grid.linewidth': 1.3,\n",
       "          u'legend.fontsize': 13.0,\n",
       "          u'lines.linewidth': 2.275,\n",
       "          u'lines.markeredgewidth': 0.0,\n",
       "          u'lines.markersize': 9.1,\n",
       "          u'patch.linewidth': 0.39,\n",
       "          u'xtick.labelsize': 13.0,\n",
       "          u'xtick.major.pad': 9.1,\n",
       "          u'xtick.major.width': 1.3,\n",
       "          u'xtick.minor.width': 0.65,\n",
       "          u'ytick.labelsize': 13.0,\n",
       "          u'ytick.major.pad': 9.1,\n",
       "          u'ytick.major.width': 1.3,\n",
       "          u'ytick.minor.width': 0.65}),\n",
       " u'seaborn-ticks': RcParams({u'axes.axisbelow': True,\n",
       "          u'axes.edgecolor': u'.15',\n",
       "          u'axes.facecolor': u'white',\n",
       "          u'axes.grid': False,\n",
       "          u'axes.labelcolor': u'.15',\n",
       "          u'axes.linewidth': 1.25,\n",
       "          u'figure.facecolor': u'white',\n",
       "          u'font.family': [u'sans-serif'],\n",
       "          u'font.sans-serif': [u'Arial',\n",
       "                               u'Liberation Sans',\n",
       "                               u'Bitstream Vera Sans',\n",
       "                               u'sans-serif'],\n",
       "          u'grid.color': u'.8',\n",
       "          u'grid.linestyle': u'-',\n",
       "          u'image.cmap': u'Greys',\n",
       "          u'legend.frameon': False,\n",
       "          u'legend.numpoints': 1,\n",
       "          u'legend.scatterpoints': 1,\n",
       "          u'lines.solid_capstyle': u'round',\n",
       "          u'text.color': u'.15',\n",
       "          u'xtick.color': u'.15',\n",
       "          u'xtick.direction': u'out',\n",
       "          u'xtick.major.size': 6.0,\n",
       "          u'xtick.minor.size': 3.0,\n",
       "          u'ytick.color': u'.15',\n",
       "          u'ytick.direction': u'out',\n",
       "          u'ytick.major.size': 6.0,\n",
       "          u'ytick.minor.size': 3.0}),\n",
       " u'seaborn-white': RcParams({u'axes.axisbelow': True,\n",
       "          u'axes.edgecolor': u'.15',\n",
       "          u'axes.facecolor': u'white',\n",
       "          u'axes.grid': False,\n",
       "          u'axes.labelcolor': u'.15',\n",
       "          u'axes.linewidth': 1.25,\n",
       "          u'figure.facecolor': u'white',\n",
       "          u'font.family': [u'sans-serif'],\n",
       "          u'font.sans-serif': [u'Arial',\n",
       "                               u'Liberation Sans',\n",
       "                               u'Bitstream Vera Sans',\n",
       "                               u'sans-serif'],\n",
       "          u'grid.color': u'.8',\n",
       "          u'grid.linestyle': u'-',\n",
       "          u'image.cmap': u'Greys',\n",
       "          u'legend.frameon': False,\n",
       "          u'legend.numpoints': 1,\n",
       "          u'legend.scatterpoints': 1,\n",
       "          u'lines.solid_capstyle': u'round',\n",
       "          u'text.color': u'.15',\n",
       "          u'xtick.color': u'.15',\n",
       "          u'xtick.direction': u'out',\n",
       "          u'xtick.major.size': 0.0,\n",
       "          u'xtick.minor.size': 0.0,\n",
       "          u'ytick.color': u'.15',\n",
       "          u'ytick.direction': u'out',\n",
       "          u'ytick.major.size': 0.0,\n",
       "          u'ytick.minor.size': 0.0}),\n",
       " u'seaborn-whitegrid': RcParams({u'axes.axisbelow': True,\n",
       "          u'axes.edgecolor': u'.8',\n",
       "          u'axes.facecolor': u'white',\n",
       "          u'axes.grid': True,\n",
       "          u'axes.labelcolor': u'.15',\n",
       "          u'axes.linewidth': 1.0,\n",
       "          u'figure.facecolor': u'white',\n",
       "          u'font.family': [u'sans-serif'],\n",
       "          u'font.sans-serif': [u'Arial',\n",
       "                               u'Liberation Sans',\n",
       "                               u'Bitstream Vera Sans',\n",
       "                               u'sans-serif'],\n",
       "          u'grid.color': u'.8',\n",
       "          u'grid.linestyle': u'-',\n",
       "          u'image.cmap': u'Greys',\n",
       "          u'legend.frameon': False,\n",
       "          u'legend.numpoints': 1,\n",
       "          u'legend.scatterpoints': 1,\n",
       "          u'lines.solid_capstyle': u'round',\n",
       "          u'text.color': u'.15',\n",
       "          u'xtick.color': u'.15',\n",
       "          u'xtick.direction': u'out',\n",
       "          u'xtick.major.size': 0.0,\n",
       "          u'xtick.minor.size': 0.0,\n",
       "          u'ytick.color': u'.15',\n",
       "          u'ytick.direction': u'out',\n",
       "          u'ytick.major.size': 0.0,\n",
       "          u'ytick.minor.size': 0.0})}"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "mpl.style.library\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'seaborn-darkgrid',\n",
       " u'seaborn-notebook',\n",
       " u'classic',\n",
       " u'seaborn-ticks',\n",
       " u'grayscale',\n",
       " u'bmh',\n",
       " u'seaborn-talk',\n",
       " u'dark_background',\n",
       " u'ggplot',\n",
       " u'fivethirtyeight',\n",
       " u'seaborn-colorblind',\n",
       " u'seaborn-deep',\n",
       " u'seaborn-whitegrid',\n",
       " u'seaborn-bright',\n",
       " u'seaborn-poster',\n",
       " u'seaborn-muted',\n",
       " u'seaborn-paper',\n",
       " u'seaborn-white',\n",
       " u'seaborn-pastel',\n",
       " u'seaborn-dark',\n",
       " u'seaborn-dark-palette']"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpl.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mpl.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x114ecc5d0>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsgAAAINCAYAAAAjjolxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114ca3f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.subplot(111)\n",
    "ax.bar(x,y)\n",
    "ax.plot(np.arange(10))\n",
    "ax.plot(np.sin(np.linspace(1,5,num=10)))\n",
    "ax.set_xlabel(\"$x$\", fontsize=18)\n",
    "ax.set_ylabel(\"$y$\", fontsize=18)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11bb589d0>]"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqkAAAHuCAYAAAC8k5WOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b829cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = plt.axes()\n",
    "a.plot(x,y)\n",
    "a.plot(x,np.zeros_like(x)+0.5,lw = 1,ls = '--' , color = 'green')\n",
    "a.plot([0,9],[0.4,0.4],ls='--',lw = 1,color = 'red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x122257d10>]"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqkAAAHuCAYAAAC8k5WOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzs3Xl4E9X+BvD3TLamSVcoIKCIIAKKyi6LC2gBUQQFUfGC\nC3JBLovs3J8rLleKgrIo4K6oFxVULooggoBiVURAQBFRlJ0W2tKkTdskc35/pBRDSmnTJJNJ38/z\n5JGezMm8HCp8OzPnHCGllCAiIiIiiiKK1gGIiIiIiE7HIpWIiIiIog6LVCIiIiKKOixSiYiIiCjq\nsEglIiIioqjDIpWIiIiIog6LVCIiIiKKOixSiYiIiCjqsEglIiIioqhjeOyxxx6rSofi4mK8//77\nWLFiBZYvX46NGzfi3HPPRWpq6hn7fPvtt3jhhRewceNGfP7556hVqxbq1atXreC5ublYvnw56tev\nD6vVWq3PihUck0Ack0Ack0AcE38cj0Ack0Ack0Ack0DVGZMqX0l9/fXX0b59e0yZMgUZGRlo164d\nnnzySeTl5ZV7/I4dO7Bw4UKMHTsWjz76KEaMGIHnn38ee/fureqp/eTm5mLJkiXIzc2t1ufEEo5J\nII5JII5JII6JP45HII5JII5JII5JoOqMSZWK1JKSEiiKggsvvLCs7cYbb4TRaMSWLVvK7bN06VJc\nccUVZVdOzzvvPLRp0wYfffRRlcMSERERUc1QpSLV7XajdevWAe1xcXFwOp0B7V6vF7t370arVq38\n2lu1aoWdO3dWMSoRERER1RRVKlJtNhvat2/v13bgwAFkZWWhadOmAcc7HA54PB4kJyf7tSclJcHp\ndKKkpCSIyEREREQU64zV6ezxeLBw4UJ07NgRLVq0OONxBoOh3HZVVSt1ntzc3IBnGY4ePYouXbrA\nYrFUPnCMM5vNaNy4Mcxms9ZRogbHJBDHJBDHxB/HIxDHJBDHJBDHJJDFYkGXLl1w9OjRgPdSUlKQ\nkpJyxr5CSimDOanH48GsWbOgqiomTpwIozGw3lVVFYMHD8bYsWPRoUOHsvYvv/wSixYtwmuvvVap\nc73//vtYsmSJX1uXLl0wduzYYKITERERUQTNnj0bGzdu9GsbMGAABg4ceMY+QV1JLSwsxMyZM3H+\n+efjzjvvhKqqWLlyJXr16uV3nKIoaN68OXbu3OlXpG7fvh2XXnpppc+Xnp6Odu3a+bWdvIJaULAf\nbrfrtB4CUtau2m8qBhgMBiQmJiI/Px9er1frOOFXWIikIUOgVHLGoKdBAxTddRfc3boBSs1dIrjG\nfZ9UAsfEH8cjEMckEMckEMckkMlkgt1ux4ABA9CnTx+/9yq6igoEUaQePnwYL774Im666aay51P/\n/PNP2O12AMDzzz+PZs2aoXfv3gCA/v37Y+bMmejduzfq1q2LP//8E9u2bcO0adMqfc6KLgeXlNjh\ncpX3OMHphWvsM5lMAHxr2brdbo3ThJ99zhwoa9dW+njjli2wf/IJ3M2bwzF5Mop69gxjuuhV075P\nKoNj4o/jEYhjEohjEohjcmYNGjSocp8qFakHDhzAww8/jOTkZKxYsQIrVqwAABw8eBBTp04t+/Xf\nJ0q1bNkSw4cPx6xZs2C1WqGqKiZNmoSGDRtWOSzRScLhgH3BgqD6mnbtgvXDD2tskUpERKQHVSpS\nGzZsiNdff73CY5555pmAtg4dOvjd7ieqLmm3I3fhQiRkZMC8dWvV+ioKHJMmhSkZERERhULNfTCP\n9E0IFF91FY598glyXn0V7osuqnRX14AB8JSzZBoRERFFDxappG9CoKhXL2SvXo3cuXPhOf/8Cg+X\nJhMc48dHJhsREREFjUUqxQaDAa5bbkHWunXIy8iAt3Qb3tMV3nknvOeeG+FwREREVFXVWsw/GiQl\n9UFS0ja/NintOHp0s0aJSFMmEwr/8Q8U9u8P26JFSJg3D8rx4wAANS4OjjFjNA5IRERElaH7K6mK\nUghFcfq9hHBqHYu0ZrWi4J//RM6mTcATT0BNSEDBvfdCrVtX62RERERUCbq/kkpUEWm3Aw89hJyB\nA+Gu5Da8REREpD3dX0mlmsH488+If/11oLg4qP4yJQUyMTHEqYiIiChcdH8lNT9/DoqLc05rLW8H\nKtKzxIwMxH3xBezz58MxYQJc/fsDRt1/+xIREdEZ6P5Kqtd7Mdzudqe9Wmsdi0LI9MMPiPviCwCA\n8eBBpIwfj7Tu3RH3v/8BvIVPREQUk3RfpFKMkxKJ06cHNJt+/x2p99+PtF69YPniC0BKDcIRERFR\nuLBIpahm/uorWDIzz/i+aedO1LrrLtTu1w/mCo4jIiIifWGRStFLSiTOmFGpQ80//IDaAwYg9Y47\nYNq6NczBiIiIKNxYpFLUivv8c5i3bKlanw0bkHbDDUgZOhQiNzdMyYiIiCjcWKRS1Ip/992g+xr3\n7uWSU0RERDqm+zV8EhKGwm7f6dcmZTyOHftUo0QUKjkvv4z4d99Fwpw5MBw9WqW+jkmTAAOXIiMi\nItIr3RepbndbeL21/dqktGiUhkLKbEbh3XfDddttiH/jDSTMmwclL++s3UouuwxFvXpFICARERGF\ni+6L1KKikXC5XFrHoDCSVisK7r8fhf/4B+wvvQTbSy9BcTrPeLxj6lRAiAgmJCIiolDjM6mkGzIh\nAY4JE5CVmQnniBGQcXEBxxR36oTiK6/UIB0RERGFEotU0h01NRX5Dz+Moxs3omDIEMi/bY/qmDKF\nV1GJiIhiAItU0i21Xj2cePppZG3YgMIBA1CUno6S9u21jkVEREQhoPtnUom8jRohb/ZswOvVOgoR\nERGFCK+kUlQQubmoNXAgLOvWAVIG9yFccoqIiChm6P5KalzcmzAa9/u1SWmG0zlao0QUDPuCBbBs\n3AjLxo0o7tgRjilTUNKxo9axiIiISCO6L1Kt1rcA+G+dqap2Fqk6omRlwfbKK2VfW777DpZbbkFR\n9+5wTJ4Md6tWGqYjIiIiLfB2P2nOPnculKKigPa4tWuR1qsXUv75Txh/+02DZERERKQVFqmkKcOB\nA7AtWlThMdZPP0Va9+5IfuABGPbti1AyIiIi0pLub/eXlFwFr7e+X5uUgYu8U3SyP/cchNt91uOE\nqiL+gw9g/fhjFA4aBMfYsVDr1o1AQiIiItKC7ovUgoJHuS2qThn27EH8++9XqY9wu2F7801Y33sP\nuS+/jOLu3cOUjoiIiLTE2/2kGdPPP5e7tWnlOptQ0rp1aAMRERFR1GCRSpopuukmZGVmwnnffZBm\nc5X6OocPh0xJCVMyIiIi0hqLVNKUWrs28qdNQ9bXX6Ng0CDISizI701NRcGwYRFIR0RERFphkUpR\nwdugAU488wyy1q1DYb9+FR7rHD0a0m6PUDIiIiLSAotUiireCy5A3gsvIGv1arh69Ah8v149FAwZ\nokEyIiIiiiTdz+43m1dAiMN+bVIa4XIN1CgRhYKnZUvkvv46nJs3I3HGDFi+/hoA4Bg3Dgh2shUR\nERHphu6LVJttJsrbFpVFamxwt22L4++9B/PXX8P2zjsovO02rSMRERFRBOi+SM3NXcN1UvXC5QKs\n1qC6lnTtipKuXUMciIiIiKIVn0mlyPB6kdanD5JHjoTh99+1TkNERERRjkUqRYR12TKYfvkF8cuW\noU63bkiaOBGGgwe1jkVERERRikUqhZ/bjYRnny37Uni9sP33v6jTtSsSH3kESna2huGIiIgoGrFI\npbCLf+89GP/6K6BdlJTA/uqrqNOpExKmT4fIy9MgHREREUUjFqkUXi4XEp57rsJDFJcLCXPnom7n\nzrDPmQNRUBChcERERBStYqBILYAQjoAXRQfbW2/BcORIpY5VTpxAYkYG6nTuDNsrrwBFRWFOR0RE\nRNFK90tQpaTchPLWST1y5FdtAlEZ4XTCPm9elfsZjh1D0qOPwrRzJ/LOchWWiIiIYlMMXEmlaCUK\nC1HSpUvQ/Z1Dh4YwDREREekJi1QKG7VOHeQuWICsVatQdO21Verr6tMHnksuCVMyIiIiinYsUins\nPJdcgpy33sKxjz9GcadOZz1eKgryJ06MQDIiIiKKVrp/JjUvbzGKivJPaxWaZKGKlbRvj+MffADL\nV18hYfp0mLdtK/e4woED4W3aNMLpiIiIKJro/kqqlGlQ1fqnvc7ROhadiRAovuoqHPv0U+S88grc\nF13k97Y0meAcN06jcERERBQtdF+kkk4JgaLrr0f26tXInTMHnkaNAAAFgwfD27ChxuGIiIhIa7q/\n3U86ZzDA1b8/XDfdhPjFi1HUs6fWiYiIiCgKsEilkFEOHwYsFqipqVXvbDKhcPDg0IciIiIiXeLt\nfgqZpGnTUOeKK5Dw7LMQ+adPZiMiIiKqPBapFBLGHTtgXb4cSkEBEp57DnU7dYL9xRchXC6toxER\nEZEO6b5ITUrqg3r1LvJ71a3bVutYNU7ijBl+Xyt5eUh86inU6dwZ8W+8AZSUaBOMiIiIdEn3z6QW\nFQ2B233Qr01Ks0Zpaibzpk2IW7Om3PcMWVlIfvBB2BcsgGP8eLj69wcMhggnJCIiIr3RfZFaXHwr\nXLylrB0pkZCRcdbDjPv3I2XcONhfeAGOSZNQ1Ls3oOj+Qj4RERGFCasEqhbLV1/BkplZ6eNNe/Yg\ndfhw1O7dG5a1awEpw5iOiIiI9IpFKgVPSiRMnx5UV/P27Uh6+GHA4wlxKCIiIooFLFKpWhwTJ6Lk\nkkuC7guTKcSJiIiIKBawSKXgCYHi7t1x7LPPkLNgAdxNm1a6q7t5c7j69g1jOCIiItIzFqlUfYqC\noj59kL1mDXJnzYKnYcOzdnFMnsyJU0RERHRGup/db7XOhNn8x2mtFpw48ZQmeWo0oxGu226Dq18/\nxP/3v0iYPRuGrKyAw0pat0ZRjx4aBCQiIiK90H2RGhe3AsAWvzZVtbNI1ZLFgsK774brtttge/11\n2F94AUpeXtnb+ZMnA0JoGJCIiIiiHe+3UthIqxXOkSNxNDMTjgcegGqzobhzZ5RceaXW0YiIiCjK\n6f5KKkU/mZgIx6RJKLj3Xoj8fF5FJSIiorPSfZHqcvWH19vOr01Ki0ZpYptwOmFdtgyFAwcGtXSU\nWqsWUKtWGJIRERFRrNF9kVpUNJLbokaI7eWXkfjss76tTSdMgKtfP8Bg0DoWERERxSA+k0qVInJy\nYF+4EABg/OsvpIwZg7T0dMR99hm3NiUiIqKQY5FKlWKfPx+Kw+HXZvr1V6Tedx9q33gjLOvXs1gl\nIiKikGGRSmelHD0K22uvnfF989atqDVoEGrdeivMmzZFMBkRERHFKhapdFYJc+ZAKSo663GWzEzU\n7tcPqYMHw7hjRwSSERERUaxikUoVMuzfj/h33qlSn7i1a1GnZ0+kDB8O5eDBMCUjIiKiWKb72f1x\ncW/CaNzv1yalGU7naI0SxRbbK69AuN1B9bWsWQM8+WSIExEREVFNoPsi1Wz+DGbzT35tqmpjkRoi\n+f/+N7znnQf7nDkwHDtWpb4FQ4dCTUsLUzIiIiKKZbovUvPzF3Od1HCKi0PB0KEovP122F59FfYF\nC6CcOHHWbmpiIpz33x+BgERERBSL+EwqVYq02eAcMwZHv/kGjtGjoVqtFR7vHDECMjk5QumIiIgo\n1rBIpSqRyclwTJ2KrMxMOIcOhTSbA47x1qqFgvvu0yAdERERxQoWqRQUNS0N+Y8/jqyvv0bBoEGQ\nf9se1Tl6NKTNpmE6IiIi0jsWqVQt3gYNcOKZZ5D15Zco7NsXngYNUDB4sNaxiIiISOd0P3GKooO3\nSRPkvfgihNMJxMVpHYeIiIh0TvdXUhVlL4zGX097/aZ1LH2SEkmTJ8O8cWPwH2G3hzAQERER1VS6\nv5KalHQfgC1+bapqx5Ejv2oTSMfiVq6E7Z13YHvnHRR37Yr8KVPgbtNG61hERERUA+n+SiqFiNeL\nhBkzyr60fP010vr0Qcq998L4yy8aBiMiIqKaiEUqAQCsH38M0+7dge2rViEtPR3Jo0bBsHevBsmI\niIioJmKRSkBJCRJmzjzj20JKxH/0EepcfTWSJk+GcvBgBMMRERFRTaT7Z1Jzc9dwW9Rqil+8GMa/\n/jrrccLrhe2ddxC/ZAkKBg+Gc/RoqLVrRyAhERER1TS8klrTuVxImD27Sl1EcTHsr7yCOp06wfr+\n+2EKRkRERDUZi9QazrxtG0ReXlB9lcJCeC64IMSJiIiIiFik1nglV1yBrI0bUXDXXZAmU5X6FqWn\nw92uXZiSERERUU3GIpWg1quHE//5D7I2bEDhrbdCKpX7tsifNCnMyYiIiKimYpFKZbznnYe8559H\n9tq1cN1wQ4XHFvbtC8/FF0coGREREdU0MVCkFkAIR8CLgue58ELkvvQSsleuRFH37gHvS4MBjgkT\nNEhGRERENYXul6BKSbkJ3BY1PNytWiFn0SKYv/8eCdOnw/LddwCAwoED4W3SRON0REREFMt0X6Q6\nHI/A7T56Wqvuf1tRpaRDBxxfuhSW9euR8NxzcI4bp3UkIiIiinG6r+Y8nqtRVMTF/CtNVYFKTozy\nIwSKr7kGxddcE/JIRERERKeLgWdSqSqSJk1C8pgxMFRihykiIiIirbBIrUGMv/2G+PffR/zSpahz\n1VVImjoVyuHDWsciIiIiCsAitQZJeOYZCFUFAAiPB7ZFi1C3a1ckPvEElJwcjdMRERERncIitYYw\nbd8O66efBrSLoiLYFyxAnU6dkDBzJoSDy3cRERGR9qo8cWr//v3YvHkzPvvsMzz11FOoXbt2hcdP\nnjwZNpvNr61Dhw64/vrrq3pqqoaEGTMqfF9xOpEwaxZsr70Gx6hRKLz7bkirNULpiIiIiPxVuUg9\ndOgQDAYD8vLyKnX8+eefj5EjR1Y5WGXZ7VNgte72a5PSitzcV8N2Tr0xf/cd4taurdSxSl4ekp58\nEvaXX4ZjzBgUDhoEmM1hTkhERETkr8pFaseOHQEAb7/9dsjDBMNk+gEmU+Bi/lRKSiRkZFS5m+Ho\nUSQ/+CCsy5fj+NKlYQhGREREdGZhXyd13759eOqpp1BcXIy4uDh06tQJ3bp1C/dpqZRwuaCmpgbd\n39W/fwjTEBEREVVO2IvUMWPGoH79+gB8jwrMmjUL+/fvx5AhQ8J9agIg4+OR+8orcG7dioQZMxC3\nfn2l+3oaN0bhrbeGMR0RERFR+cJepJ4sUE/++r777sOjjz6KAQMGID4+vlKfkZubi9zcXL82s9mM\nhg0bwuUaCa/3kN97UpphMpmqH15njEaj33/9tG8PxwcfoGjjRtj+8x+YNm066+cVTpkCUyX/jKJV\nhWNSQ3FMAnFM/HE8AnFMAnFMAnFMAhkMBgDAgQMHUFJS4vdeSkoKUlJSztg3rKPo9XohhIDyt204\nGzduDAA4fPgwmjRpUqnPWb16NZYsWeLX1rhxY2RkZMBqva/cPgkJQYaOARX9gaNfP6BvX+Czz4AH\nHwS2bi3/uFatkDhsWHBbqEahCsekhuKYBOKY+ON4BOKYBOKYBOKYBJo7dy727t3r1zZgwAAMHDjw\njH3CWqS+9957yMnJwahRo8rasrKyoCjKWZeu+rv09HS0a9fOr81cOuM8Pz8fxcXFoQmsc0ajESkp\nKcjNzYXH46n44PbtgZUrYf7kE9imT4dxzx6/t09MnoyS48fDmDYyqjQmNQTHJBDHxB/HIxDHJBDH\nJBDHJJDFYkFiYiJGjx5d7pXUigRVpBYVFQFAwMmef/55NGvWDL179wYAtGjRAs8++yx69+6NCy64\nAEVFRVi0aBHS09ORlJRU6fNVdDnY6/XC7XYH89uIWR6Pp9Jj4r7+ehSkp8O6dCkSZs2C8cABlLRu\njYJu3YAYGteqjElNwTEJxDHxx/EIxDEJxDEJxDE55eSjDw0bNqx636p2ePvtt/HDDz8AADIyMtCu\nXTsMHjwYAHDw4EEkJyeXHdu6dWuMGzcOr776KkwmE1wuFzp27Iibb765ykEpjIxGuG67Da5+/RD/\n7rvwtGgBCKF1KiIiIqrBhJRSah2iOnJzc+FyubSOERVMJhPS7HYc278fJXauFQuUjklaGrKzs/lT\nbSmOSSCOiT+ORyCOSSCOSSCOSSCr1Rr0M7qxMSuGTnnhBaS2bw/7889DOJ1apyEiIiIKiu7XSLBa\nZ8Js/uO0VgtOnHhKkzxaEg4HMH06lPx8JD7zDGyvvQbn6NEoGDwYiIvTOh4RERFRpen+SqrBsBcm\n069+L6PxN61jacK6YAHwtxn5huPHkfTYY6jbtSvi33knpiZCERERUWzT/ZVUp3Men0kFIHJyYJ0/\nv9z3DIcPI3nyZNhffBGOiRPh6ts3ZtY/JSIiotjESiVGJLz4IpSzPINq/PNPpIwahbQePRC3ahWg\n7zlzREREFMNYpMYA5cgR2F5/vdLHm375Ban33ovaffrAvGEDi1UiIiKKOixSY0DCnDkQpRssVIV5\nyxbUuusuKNnZYUhFREREFDwWqTGgqFs3uJs3D6pvweDBUOvUCXEiIiIiouphkRoDitPTkf3558if\nPx9o2rTS/dT4eDhHjw5jMiIiIqLg6L5INRo3wWJZ5/cymzdoHSvyDAYU9+8P/PwzHDNnwluv3lm7\nFAwdCjUtLQLhiIiIiKpG90tQJSRMBbDFr01V7Thy5FdtAmnNZELR4MFw9OsH26JFsM+dC8Pf1k49\nSU1KgnPECA0CEhEREZ2d7q+k0hnExaFg2DBkZWYif/JkqImJfm87R4yATE7WKBwRERFRxVikxjhp\ns8E5diyOfvMNHKNGQbVa4a1dGwVDh2odjYiIiOiMdH+73+tNA+D//KWq2rQJE8VkSgoc//43CoYO\nhXHPHkgbx4iIiIiil+6L1Pz8xTVrW1QpEff55yi69lrAWPU/PrVOHZRwySkiIiKKcrzdrzOWdeuQ\neu+9qNOtG+KWLQNUVetIRERERCHHIlVPpERCRgYAwPjHH0gdORJpPXvCsno1tzYlIiKimMIiVUfi\nVqyAeft2vzbTzz+j1t13o3bfvjBt3KhRMiIiIqLQYpGqF14vEp555oxvmzdvRvLNNwPp6TD++GME\ngxERERGFHotUnbB++CFMv/129gO/+AIpvXoh5d57Yfzll/AHIyIiIgoD3RepirIXRuOvp70qUczp\nSUkJEmbOrFIX66pVSEtPR/KoUTD89VeYghERERGFh+6XoEpKug+xvi1q/AcfwLh/f5X7CSkR/9FH\nKLzjDngbNQpDMiIiIqLw0H2Rmp8/B8XFOae1GjTJEi6Ft9wC4XDAPm8eDLm5Vepb3LUrSrp0CVMy\nIiIiovDQfZHq9V4MtzvGF/O3WlEwYgQK77wTtpdfhn3hQihOZ6W65k+ZEuZwRERERKGn+2dSaxKZ\nkADn+PE4mpkJ5/33Q8bFVXi8q0cPuNu0iVA6IiIiotBhkapDMjUV+Q89hKMbN6Lgrrsgy9keVQoB\nx6RJGqQjIiIiqj4WqTqm1quHE//5D7I2bEDhgAGQyqk/Tle/fvC0bKlhOiIiIqLgsUiNAd5GjZA3\nezZy168H+veHNBrhmDBB61hEREREQdP9xCk6xXvRRcCSJcjZuhXeOnW0jkNEREQUNN0XqQkJQ2G3\n7/RrkzIex459qlGi6rO99hrcF1+Mko4dg+qvNmgAuN0hTkVEREQUObovUo3GPwHs9mtTVbsmWULB\n8NdfSJw2DcLjQVH37nBMngx3q1ZaxyIiIiKKKD6TGmUSZs2C8HgAAHFr1yKtVy+k/POfMP4WY1u9\nEhEREVWARWoUMe7eDevSpQHt1k8/RVr37kh+4AEY9u3TIBkRERFRZOn+dr/D8Qjc7qOnterzt5Xw\nzDMQUpb7nlBVxH/wAawff4zCQYPgGDsWat26EU5IREREFBn6rOb+xuO5GkVF+t8W1bRtG6wrVpz1\nOOF2w/bmm7C+9x4K77kHjpEjIVNTI5CQiIiIKHJ4uz9KJMyYUaXjlaIi2OfPR93OnWF79dUwpSIi\nIiLSBovUKGDYvx+WzMyg+ioOR4jTEBEREWmPRWoU8J57Lo5+9RUK7rwT0mCoUl9P/foo+Mc/wpSM\niIiISBssUqOE2qABTsyYgaz161F4882QQlSqn2PCBMBiCXM6IiIioshikRplvI0bI2/ePGSvXg1X\nz54VHuu54AK4BgyIUDIiIiKiyNH97H67fQqsVv8dp6S0IjdX35OJPC1aIPe11+D88UckzpgBy1df\nBRyTP3EiYNT9HyERERFRAN1fSZUyHlLaT3vZtI4VMu42bXB88WIce/99lLRte6q9ZUsU9emjYTIi\nIiKi8NH9ZbiCgkfhcul/ndSzKenSBceWLYPliy+QmJGB/MmTAUX3P2MQERERlUv3RWqNIgSK09OR\nfe21QCUnVhERERHpES/FaSB+0SIkTZgAw4EDwX2AorBIJSIiopjGIjXChMuFhFmzYFu8GHWuvBKJ\njzwCJTtb61hEREREUYVFaoTFv/EGDFlZAABRUgL7q6+iTqdOSHj6aYi8PI3TEREREUUHFqkRJPLz\nkTBvXkC74nIhYd481O3UCfbZsyEKCjRIR0RERBQ9dD9xymxeASEO+7VJaYTLNVCjRGdmf/llKBVc\nLVXy85E4YwZsr74K5+jRKBg8GIiLi2BCIiIiouig+yLVZpsJYItfm6rao65IVXJyYFu4sFLHGo4f\nR9Jjj8G+cCEc48ej8NZbAZMpzAmJiIiIogdv90eIfd48KFW8jW84fBjJkyYhLT0dKC4OUzIiIiKi\n6MMiNRKkDH65KQAlHToAFksIAxERERFFN93f7ne7W0BK/zVDpbRqlOYMhEDuSy+hYNMmJGRkwJKZ\nWemu0mKB44EHwhiOiIiIKProvkh1OufpZlvUkvbtcfyDD2D56iskTJ8O87ZtZ+1TMGQI1Pr1I5CO\niIiIKHrwdn+kCYHiq67CsU8/Rc4rr8B90UVnPFSNj4dz1KgIhiMiIiKKDixStSIEiq6/HtmrVyN3\nzhx4GjUKOKRg2DCotWtrEI6IiIhIWyxStWYwwNW/P7LWr0fe9Onw1qsHAFCTkuAcPlzjcERERETa\n0P0zqTHnODuWAAAgAElEQVTDZELh4MEoHDAAtrfegrRYIJOStE5FREREpAkWqWEiCgsh4+Or3tFq\nRQGvoBIREVENp/vb/UbjJlgs6/xeZvMGTTOZMzNRt3172F94AUInKw8QERERRRPdX0lNSJiK8rZF\nPXLkV20CSYmEjAwoeXlI/M9/YHvlFTjGjEHhoEFckJ+IiIioknRfpOblLUZRUf5praLcYyPB8uWX\nsGzaVPa1ISsLyQ89BPuCBXCMHw9X//6AUffDTkRERBRWur/dL2UaVLX+aa9ztAmjqkjIyCj3LeOB\nA0gZPx5p3bsjbvlyQFUjHI6IiIhIP3RfpEaTuE8/hXnHjgqPMf3+O1JHjEBar16wrFkDSBmhdERE\nRET6wSI1VDweJDz7bKUPN+3ciVpDhqDWzTfDnJkZxmBERERE+sMiNUSsS5fCtGdPlftZNm1C7QED\nYPrbc6xERERENR2L1BBR69SBu2nToPqWtG0Ld7t2IU5EREREpF8sUkOkuFs3ZK9Zg9znnoPn3HOr\n1Dd/6lRAaLciAREREVG00f1aSElJfZCUtM2vTUo7jh7dHPkwRiNcAwfC1a8f4t99FwmzZ8OQlVVh\nl6KrrkJJ584RCkhERESkD7q/kqoohVAUp99LCKe2ocxmFN59N7K++Qb5Dz4INTn5jIc6Jk+OYDAi\nIiIifdB9kRrNpNUK58iROJqZCce4cVBtNr/3Xb16wd26tUbpiIiIiKIXi9QIkImJcEyciKzMTDiH\nD4eMi4MUAo5Jk7SORkRERBSVdP9Man7+HBQX55zWatAky9motWoh/5FH4Bw2DJYNG+Bp3lzrSERE\nRERRSfdFqtd7MdxuV8TPa/rpJ7gvvhgwVL0gVs85B67bbgtDKiIiIqLYwNv9QVAOHULtfv2Qdt11\niFuxglubEhEREYUYi9QgJMyeDVFcDNPu3UgdNgy1b7gBlnXrWKwSERERhQiL1Coy/Pkn4hcv9msz\nb9uGWnfeiVoDBsD8/fcaJSMiIiKKHSxSqyhh5kwIj6fc9yzffovaN9+M1MGDYdq+PcLJiIiIiGIH\ni9QqMO7aBetHH531uLi1a5HWqxdShg+Hcc+eCCQjIiIiii26n92fkDAUdvtOvzYp43Hs2KehP9cz\nz0BU4blT6yefIG7FCrgGDIBj/Hh4zz035JmIiIiIYpHui1S3uy283tp+bVJaQn4e09atsK5cWeV+\nQlUR//778DRtCue//hXyXERERESxSPdFalHRSLhc4V8n1XPhhcifMgX2+fOh5OdXqa+3Th0U3HNP\nmJIRERERxR4+k1pJ0maDc8wYHM3MhGP0aKhWa6X7OsaMgYyPD2M6IiIiotjCIrWKZHIyHFOnIisz\nE86hQyHN5gqP9zRsiMJBgyKUjoiIiCg2sEgNkpqWhvzHH0fW11+j4I47IM+wPapj/HjAEvpnZImI\niIhiGYvUavI2aIATzz6LrC+/RGHfvn7vuZs0gat/f42SEREREekXi9QQ8TZpgrwXX0TW55+jKD0d\nAOCYOBEw6n5uGhEREVHE6b6Ciot7E0bjfr82Kc1wOkdrksdz8cXIeeMNmH76Ce5LLtEkAxEREZHe\n6b5ItVrfArDFr01V7dUuUi3r1kFNTIS7TZug+rsvvbRa5yciIiKqyXi7vzzFxUiaPBlpffog5Z57\nYPz5Z60TEREREdUoLFLLYXvnHRgPHgQAWD//HGk9eiD5X/+C4Y8/NE5GREREVDPo/nZ/SclV8Hrr\n+7VJGRf054nCQtjnzPFvkxLxH38M6/LlKLztNjgeeABqgwZBn4OIiIiIKqb7IrWg4NGQbotqe+01\nGLKzy31PeL2wvfsu4pcsQcHgwXCOGQO1du2QnZuIiIiIfHi7/2/EiROwv/ji2Y8rKYH91VdRp1Mn\nJGRkQJw4EYF0RERERDUHi9S/sS9cCKUKBadSWIiEOXNQt1Mn2F94AZAyjOmIiIiIag4WqSe5XLC9\n+WZQXZUTJ2DctQsQIsShiIiIiGomFqknWa3IXrkShQMHQipVGxZpNMIxYUKYghERERHVPCxS/8Z7\n7rnIe+45ZK9dC9eNN1a6X+Htt8N7/vnhC0ZERERUw+h+dr/ZvAJCHPZrk9IIl2tg0J/pufBC5C5c\nCMeOHUjMyEDc2rVnPFZaLHA88EDQ5yIiIiKiQFUuUvfv34/Nmzfjs88+w1NPPYXaZ1mC6dtvv8Wy\nZcsQFxeH4uJiDBw4EJdffnnQgU9ns81EeduiVqdIPclzySXIWbQI5u+/R0JGBizffhtwTMFdd0E9\n55xqn4uIiIiITqlykXro0CEYDAbk5eWd9dgdO3Zg4cKFePrpp1GvXj3s27cPjzzyCB599FE0btw4\nqMCny81dE9J1UstT0qEDji9ZAsuGDUiYPh3mn34CAKg2G5yjRoX13EREREQ1UZWfSe3YsSP69OlT\nqWOXLl2KK664AvXq1QMAnHfeeWjTpg0++uijqp5We0Kg+OqrcWzFCuS88grczZqhYNgwqLVqaZ2M\niIiIKOaE7ZlUr9eL3bt3Iz093a+9VatWePvtt8N12vATAkXXX4+iHj0At1vrNEREREQxKWyz+x0O\nBzweD5KTk/3ak5KS4HQ6UVJSEq5TV4ppyxYkTZ0K5fDhsx9cHoMBiIsLbSgiIiIiAhCB2f0Gg6Hc\ndlVVK/0Zubm5yM3N9Wszm81o2LAhDAYDTCZTlXMlzZgB84YNiP/gA7juuQeFY8ZA6vzWvdFo9Psv\ncUzKwzEJZDQaIQSQk8MxAfg9Uh6OSSCOSSCOSaCTdeCBAwcCLlCmpKQgJSXljH3DNoqJiYkwGo04\ncdo2oydOnIDNZkNcFa5Crl69GkuWLPFra9y4MTIyMpCYmFj1cF9+CWzYAAAQRUWInz8f8YsWAePH\n+15JSVX/TA09sf4JeKU3oN0gDHj46oc1SBQdpKqicMPnKK5zDlJaXqZ1nKhy//3AwYNn/ouhJhox\nAhX+ZVkTcTwCcUwCcUwCcUwCzZ07F3v37vVrGzBgAAYOPPNqTGErUhVFQfPmzbFz50506NChrH37\n9u249NJLq/RZ6enpaNeunV+b2WwGAOTnH0ZJSeDsfikTyv8wKZE8eTICrr06ncDjj0OdOxeFo0bB\nNXQoEB9fpZxaeXLDkyhRAx+fMCtmjGg5QoNE0cG7cQ3cLz8LADBc3hGGW++B0qCRxqm0ZzQaMX9+\nCnJzc+HxeLSOExWMRiNSUjgmJ3E8AnFMAnFMAnFMAlksFiQmJmL06NHlXkmtSFBFalFREQAEnOz5\n559Hs2bN0Lt3bwBA//79MXPmTPTu3Rt169bFn3/+iW3btmHatGlVOl9Fl4MTE29AeeukHjnya7nH\nW1avhumHH854LiU3F/YnnoB14UI4xo5F4aBBQGlBrEfuGjy5y/vtulO/3vodvNs2QVyZDnHTIIgk\n/pTr8Xhq9PdHeTgm/jgegTgmgTgmgTgmp5x89KFhw4ZV71vVDm+//TZ+KC3yMjIy0K5dOwwePBgA\ncPDgQb+JUi1btsTw4cMxa9YsWK1WqKqKSZMmBRU0JFQViTNmVOpQQ1YWkh98EPYFC+AYNw6u/v2B\nKH3GpGlyU3hUD4QQMBgN8Hq8kFLCqERn3kiQrkLgl60AAFOTi+Detxdwl0BuWAX53XqInrdA9OgH\nYeHkNyIiomgkpJRS6xDV0waVvZIat2wZUkeODOos7qZNcXzx4qjeXcpkMiEtLQ3Z2dk1/ic49fsN\nkKW3+us89yZOqEDJB29AfrcOOPktn5QK0XcQRJdrIZTyJ/jFIn6fBOKY+ON4BOKYBOKYBOKYBLJa\nrUE/oxu2JaiikeWbb4LuK+PioNatG8I0FFY/Zvr+m1ob5gtbQtSqA2XoOCgPzQJalE6iOpED+dY8\nqI8/ALl9M3T/8xoREVEM0f394Ly8xSgqyj+tVZR77ImMDLj69kViRgbMFTyXWh7HlCmAUqNqet2S\n7hLIHZsBAIY2nSHEqe8HcV4TKOMeB3b8CHXJ68ChfcDBv6DOmQa0uAzKgLshzmuiVXQiIiIqpfuq\nS8o0qGr9015nviVf0rkzjn38MY6/+SbcF19cqXMUt2+P4m7dQhWZwu3nrUCxb3Kf0rZzwNtCCIhW\nbaE8MhtiyCggKdX3xi/boD45Huprz0HmZEcyMREREZ1G90VqUIRA8XXXIXvlSuTMnw93k4qvnDmm\nTgVE+VdnKfrILaW3+u0JUJpdcsbjhMEA5coeUJ5aAHHTIMASB0gJmfkl1Ifuh/rhm5CFBRFKTURE\nRH9XM4vUkxQFRTfdhOy1a5E7axY8DRoEHFJ09dUoueIKDcJRMKTXC7ntewCAuKwDxBl2PPs7YYmD\n0ud2KE8thLiqJyAU30oAny2F+uBwqGs/geR6d0RERBFVs4vUk4xGuG67DVlffYW8J5+ENy2t7C3H\nlCkaBqMq+20n4HQAAETrwFv9FRFJKVAG/wvKY3OAS9v7Gp35kP99CeqjoyB//IaTq4iIiCJE9xOn\nQspiQeE998B1222wvf46DHv3wn0Zt9PUE3lyVr/FCgS5Faqofx4Mox+G3PUT1A9eB/b9DmQdgjp/\nOtC0BZQB90A0aR7C1ERERHS62C5SvV6gErd7Tyfj4+H817/CECg80pemn3Ex/9X9V2sdL2KkqkJu\n+RYAIFq1hTBVb6cw0fxSKA/OhPx+A+RHi4CcbGDPL1CnT4Zo2wXiliEQdaJ33VwiIiI9032RmpTU\nB0lJ2/zapLQje+cq1O7TBwX33IOCIUOAuNjdWWhP3h6UqCUB7WZFv9u5BuWvPUDecd+vW4fmOWKh\nKBBXXAPZtjPk2k8gP/0AcBVAbt4IufU7iGuuh7jxNgh7YkjOR0RERD66L1KLiobA7T7o1yalGfa5\nc2Hctw9J06bB/tJLcDzwAApvuw0wmTRKSuFWNqvfaIRo1S6kny1MZoiet0B2uQ7yk/cg130GeD2Q\na5ZDfrMW4oZbIbrfWO2rt0TRQObnwfnjRsgmLYF4u9ZxiKiG0n2RWlx8K1wul1+bcvAg6r7Vtexr\nw+HDSJ4yBfb58+GYOBGuvn25MH+MkVJC/ui71Y8Wl0NY48NyHmFPhLh9GGT3G6B++Baw+RvfldUl\nb0B+uQKi3z8gOlwFwe8v0jH3yzORu/0HICERyl1jIC7roHUkIqqBYvJf0oTZsyFKAm9/G//8Eymj\nRiEtPR1xq1ad2sOd9O/wfuCo74q6CNGt/oqIOvVhGDEVytQZwMlJVMezIF+dBfU/EyF3/RT2DETh\nILOPQN1euiOfIx/qvCehvv0iZHGxtsGISJdk6eY6wYi5ItXwxx+IX7y4wmNMu3Yh9d57UbtPH5g3\nbGCxGgPKZvULBeLyjhE7r2jSHMqUDCgjpgInJ1H9tQfqzIfgnfsE5KF9EctCFAry6y98v1AUICnF\n17Z+JdQnx0H+9buGyYhIb6TXC/eLTwfdP+aK1ISZMyG83koda96yBbXvuAO1br0Vpk2bwpyMwunk\nrH5c2BIiISmi5xZCQLTtDGXaPIjb/wnYE3xv/LQJ6mNjoC56AfJEbkQzEQVDer2Q36wBAMS17QzL\nk/OBy0vvTBw5APXpSVBXfQipqhqmJCK9kD9+A3lyQnMQYqpINf78M6zLllW5nyUzE2n9+sG6dGkY\nUlG4yWNHfWuZIjK3+s9EGE1Qrr0RylMvQfTqDxhNgFQhN6zy7Vy1fHG1bnsQhd3OH8tWyLD16AuR\nkARl5L8hBv8LMFt8kwWXvAH1uUcgc45pHJaIopmUEvLzj6v1GbqfOPV3yokT8DZqBOOff1a5r5qc\njKIePUIfKgLGtB4DVapQFAU2mw0FBQVQVRWKiKmfQc5Ibv227NeidScNk5RmiLdB9L8L8prekB+/\nDfntl0BxEeT/3oVcvxKi7yCILtdCKFVfw5conNSvS9dVTkyGtcOVKMjN9d0puKonZLNLoL4y07fU\n266foE4bA2XIvyDadtE2NBFFpz2/AH/+BjS5KOiP0H2RarXOhNn8h++LXkBxj47w7qkP4w17YTh8\nuNKf4xg1CjIhIUwpw2tcm3EAAJPJhLS0NGRnZ8PtdmucKnLKnkdt1BSiVlrFB0eQqJUGMXQc5HU3\nQV3yOrDrJ+BEDuRb8yDXLIfS/27gkjYQQmgdlcj3SMpPvseeDF2ugzD6//Mg6jWAMjUD8n//hVy5\nFCh0Ql2Q4fuB6/ZhEHHhWVGDiPRJPXkV1WIN+jN0X6TGxa0AsMWvTb3MjiNfb4Nt0SLY586F4XjF\nz0N469ZF4d13hy8khY3Mz/X9tAZtb/VXRDRqAmX8E8COzVCXvAEc2gcc/AvqnGlAi8t826yed4HW\nMamGk5lrfbv0ATBc1bPcY4TRBHHLEMiL20B9bRaQcwxy4xrI3Tuh3DcB4oLgr5gQUeyQRw8B274D\nABjaBX+3JXbvB8fFoWDYMGRlZiJ/8mSoiWfeEcgxdiykNfhKn7Qjt35ftjqDaKP9rf4zEUJAtGoH\n5ZHZEENGlc2axi/boD45Duprz0HmZGsbkmosKeWpWf0XtoRyTsMKjxcXXQLlkTkQ7a/0NWQfgZox\nBeon70GqlZu4SkSxS675n+/fZoMBho5XB/05sVuklpI2G5xjx+LoN9/AMWoU1NOKUc+556Lwjjs0\nSkfVVTarv15DiHPO1TZMJQiDAcqVPaA8uQCizx2AJQ6QEjLzS6gP3Q/1w7cgCwu0jkk1zW8/n1pn\nuGt6pboImx1i2ESIe8cBcVZAVSGXvQP1mQd9kxmJqEaSBQ7Ijb5VQkS7rhAnL8oEQfdFqsvVH07n\nML9XQcHdAcfJlBQ4/v1vZH3zDZxDh0KafdtXOiZMAMzcylKPZGEB8Ms2ANF7q/9MRJwVyk13+IrV\nq3oCQgHcJZCfLfGtBLD2E0iPR+uYVEPIrz/3/cIaX6WJUEIIKJ26QXlk9qlNLfb8DPXxsVC/XRf6\noEQU9eT6lUCJb/MP0aNftT5L98+kFhWNDNgWtSJqnTrIf/xxFPzzn4hftAiuW24JYzoKJ7n9B8Dr\nK+SiYVZ/MERyKsTgf0F27wN16RvA9h8AZz7kf1+CXPMJlP53Aa2v4OQqChtZWAC5eSMAQLS/CsIS\nV+XPEGn1oEx6GvLT9yE/eQ9wFfp2X9u+GeLOERDxtlDHJqIoJD1uyLWf+r64qBXEeU2q9Xm6v5KK\nIBeV9jZsCMe//w0YuAyQbp281Z9SGzi/qbZZqkk0OA+GMY9AmfAkcPJ/6qxDUOc/DXXGVMjfd2kb\nkGKW/H4DULqNtLiycrf6yyMMBt/dgSnTgdp1Sz97PdTHx0Lu3hmSrEQU3eT3XwEncgAASnr1rqIC\nMVCkJowYAcvq1TV6a9Pdubvxa86v2JWzCzuzdmJXzi78mvMrdufu1jpa2MiSYsgdmwH4bvXHypVG\n0fxSKA/OhBg6HkgtXU5rzy9Qp0+GuiADMqvyy6oRVYY8uTZqw8ZAo+r/sCeaNPdNEOzU3ddwPAvq\nsw9C/fhtPsJCFMOklJCrS5edqtcAaNW22p+p+9v9xt9/R62770ZJ27bInzoVJZ07ax0p4np+2BMl\naklAu1kxY+/QvRokioBftgGluzdF86z+YAhFgbjiGsi2nSHXLIdcsQRw+W7Jyq3fQXTrDXHDQAj7\nmVesIKoMue8P3+L88E2YCtUPe8IaD3HvA1BbtYVc9KLv+/fT9yF/3grlvvEQdeqH5DxEFEV+2QYc\n+BMAIK7rC6FU/zqo7q+knmTevBm1b70VtW6/HaYtW87egXStbAF/ewLQtKW2YcJEmMxQevWH8tRC\niGv7+B5N8Xogv/gf1P8b7ttD3R34wwlRZZVdRTWaIK4IfpmYM1HaXwnl0TlAs0t8DXt3Q338Aahf\nr4aswXe/iGKRurp0W3p7AkSnbiH5zJgpUk+yfPUV0m68ESlDh8K4i8/xxSLp9UJu+x4AIC7rCBHj\nzxWLhEQotw+D8vgLQNvSOwWuAt8e6g+PhPrdesggn82mmkuWFEN+tw6A726EsIVnxz1RKw3KhCcg\nbhni+0GruAjyzbm+x1cKHGE5JxFFljy0Dzj5CN41vSHMlpB8ru5v92M4gNMf0ysGrNNXIm7VKrhu\nvhmO8ePhbdxYi3QUDrt3AKX/uOl1Vn8wRJ36MIyYCrnnF982q7/vAo5nQb4yE3L1Mii33gNxUSut\nY5JOyC3fAqVr8lZ2bdRgCcUAcf0AyBaXQX1llm9N1h+/gfrHr1DufQCixWVhPT8RhZf84n++XxhN\nEN16h+xz9X8ltR+A+0573eV7S0iJ+A8/RJ1rrkHS5MlQDh3SLCaFTtkC/hYr0LLm/eMmmraAMiUD\nyoipQJ1zfI1/7YH67IPwzn0C8vB+bQOSLpTd6k+rB0Tohxtx/oVQHn7OtzYwAOQdh/rcI1CXvA7p\ndkckAxGFlszPhcz8EgAgrrgGIjH4xftPp/8rqdcDOMsjqMLjge2dd6A4HMidPz8isSg8pKqWFami\nVVsIU83ciEEIAbTtDOWy9pDrV0J+shhwOoCfNkHdsRmiaw+IvneE9C8Lih0y6zCw6ycAgOhyXUgm\nOFSWsMT51ga+pC3Ut+YCTgfkqo98k6qGTdTFznFEdIpc9xng8f2QKa7rG9LP1v+V1EqSigLHuHFa\nx6Dq+msPkHfc9+sYm9UfDGE0Qbm2j29yVa/+gNHk255yw0qo/zcC6ieLIUtXQSA6SW78wvcLoUB0\nvlaTDKL1Fb5JVS0v9zXs3wv1iXFQ163gpCoinZAlxZBfrvB9cUkbiAbnhfTza0yR6rrlFniaNdM6\nBlVT2ax+oxHikuqvwRYrRLwdSv+7oDw5H+KKa3yNxS7IZe9CfWgE1K8+h1S9mmak6CC9XshvfPtq\no1VbiJRammURybWgjH0MYuBQwGj0bQ38zgKo856EzM/TLBcRVY789kvAmQ8AUNJDexUViIHb/UU3\n3QTL9u0QFSwSLU0mOCZMiGCqyFp1yypIKWE0GZGakoqc3Bx43J6YWeD+JCnlqSK1xeUQ1nhtA0Uh\nUasOxNDxkNf19U2u2vUTkJcD+dY8yDXLoQy4G/LyjlrHJC3t+BHIK90RJswTpipDKApEel/I5pdC\nfflZ4PB+32Mr08ZAuXssRAgWBCei0JOqCrm6dMJUg0ZAi8tDfg7dX0l1jR2LrA0bUDhgAOQZnqsq\nvOMOeM8L7SXoaNIspRkuSr0IzVOb4+I6F6N5anNclHoRmqXE2JXjQ/uBLN/kN9H6Co3DRDfRqAmU\n8U9AGfMIcPIZv4N/QZ09De5nH4T74F/aBiTNqCcnTCUmA63aaRvmb8S5jaE8NAui2w2+hvw8qHOm\nQf3vS5AlxdqGI6JAOzYDRw4AAER6v7BcGNN9kQoA3kaNkDd7NrLXrIGrt//SBzIuDo6xYzVKRqEk\nt5ReRRUKBK8GnpUQAqJVOyiPzoEY/C8gyTeJSt25BdkPj+YWlTWQPJEL/FS6xnCn7hDG6LqZJswW\nKIOG+364SkgCAMi1n0B9agLkgRjdPY9Ip8oW709KgehwVVjOofsiVVH2wmj8FUbjr0BLCcfrE5Gz\nYSGKuvl2Oyi45x6o9eppnJJCoaxIvbAlROk/YHR2wmCAclVPKE8ugOhxMwDAe/QQ1O83aJyMIk1+\nsxYo3fgh3GujVodo1Q7KY3NPXek9tA/qUxOgfrGMG1cQRQG5749TK4R0uwHCZArLeaLrx+ggJCXd\nh9PXoFJr23Hk7V9h/u47eC68UJtgFFLy2FFg3x8AfLvjUNWJOCvQfwiw7XvIowfhWfUhRLuuMffs\nMpVPSnlqbdRmF0PUa6BtoLMQiclQRj8Muf4zyPdf802qeu9VyO0/QrlnLERyqtYRiWosefIqqtkM\ncXWvsJ1H91dSK1LSsSPUVP5FFgvKFvAHIC7n86jBEooBhp79AADyr9+BX7drnIgi5redp57p7hK9\nV1H/TggB5ZreUB6aBTQs3TXw5y1Qp42G3PpthX2JKDxk7nHITb47caLzdRD2xLCdK6aLVIodZbf6\nGzWFqJWmbRidM3S5Dkqi73EJ9fOPNU5DkSK/Kr2Kao2HaNtF2zBVJOqfB+X/ni17XAVOB9QX/gN1\n0QtcB5gowuTaTwCvFxAC4rqbwnouFqkU9WR+LrDnFwCc1R8KwhIHe+8Bvi+2/8BtVGsAWeiE/HEj\nAEB0uArCYtE4UdUJkwnKrfdAGfc4UHqrX25YBfWJcZB/7dE4HVHNIItckBtW+r64rANE3fphPZ/u\nn0nNzV0Dl8uldQxNPffjc1ClCkVRYLPZUFBQAFVVoQgF49rof5ctufV7oHQHGtGms8ZpYoP9xoHI\nX/Im4PFArl4GMWSU1pEojOT3G4CSEgCAuLKHxmmqR7S8HMqjc6AuegH4MRM4ehDq05Mg+v4Domc/\nCMWgdUSimCU3rgEKCwCEZ/H+0+m+SCVgzpY5KFFLAtrNijk2itSTt/rrNYQ4p6G2YWKEIaUWDJ2v\nhXfDKsjMLyH73QmRmKJ1LAoT+XXpNqjnNgbOa6JtmBAQ9kQoI6ZCbvwCcvHLQHER5IdvQu78Ecq9\nD0Ck8pEgolCTqhdyTeni/Y2aAhdeHPZz8nY/RTVZWAD8UrrMBWf1h5ShZ+nzfR435JefaRuGwkbu\n+x0ovR0uuqbHzGoOQggoXdOhPPw8cH7pKi6/boc6bQzUTV9rG44oFm39Dsg+AgAQPcKzeP/pWKRS\nVJPbfwC8vkXn+TxqaCkNGgGX+LaclOs+hSzmrj6xqGzZKaMJouM1mmYJB1G3PpQpGRC9BwJCAIUF\nkC/NgPra85BFhVrHI4oZZYv3p9aO2KN3LFIpqpXd6k+t7bu9QCGl9PAtRwWnAzJzrbZhKORkSTHk\nd+sB+J7nFja7xonCQxiNUG7+B5SJTwGlt/pl5lqojz8A+fsujdMR6Z/849dTE5iv7ROx3epYpFLU\nkiXFwPbNAADRulPM3KaMKs0v9T2nCEB+8T/u5hNj5I+ZZZMcxJX6WBu1OkSzS6A8OvvUFo3ZR6DO\nmEiKkIcAACAASURBVAp1+WJIr1fbcEQ6Jk8uVxhnhegaucmXMVCkFkAIR8CLYsDPW4ES3y1o0ZrP\no4aDEALi5NXUoweBnzZpG4hCquxWf1o9oNkl2oaJEBFvhzJsIsTQ8UCcFVBVyP+9C/WZf0OWPk9H\nRJUnjx31/cALQHTtARFvi9i5dV+kpqTchHPOae73qlu3ndaxKARO/k8BeyJwYQttw8Qw0e5KILkW\nAED9/CON01CoyKxDZTuKiS7XQSi6/+u+SpQrroHyyGygSXNfw++7oD4+Fmrml5ClS9oR0dnJNcsB\nqQJCgbj2xoieW/dLUDkcj8DtPnpaq+5/W1XSNLkpPKoHQggYjAZ4PV5IKWFU9DsO0uuFLL2qJy7v\nyLUPw0gYjRDX9YFc8gbw28+Qe3+DaHyh1rGomsqWnRIKRJdrtQ2jEZFWD8qkpyE/+wBy+WKgyAX5\n2nPA9h+Af9wPER+bz+gShYosLCjbrU607QxRu25Ez6/fKqaUx3M1iopq9mL+q/v7voFMJhPS0tKQ\nnZ0Nt9utcapq2r0DKPA9tsFZ/eEnruwBufw9oNgFufpjiH9O0joSVYP0eiG/KZ0Id2k7iNIr5TWR\nMBggbrwdssXlUF+dBWQfgdz0FeTvu6AMHQdRQx6DIAqG/OpzoNhXY5U9GhZBNev+D+lG2ax+ixVo\ncZm2YWoAEW8vm1gjN2+EPHb63QnSlR2bgRM5AACl6/+zd+fxUdXn4sc/35PJTggEAmGRRXYh7DuI\nbMGlLrjUW63Vtm6tbbVorVV7q7+rolTRqtf9dvHW9rbWBesKCIIsAgphFxBkRySQEEiAJJPz/P44\nkwkhkJCQ5Dtn8rxfr3mROZM585wzJHnmfL/P851oOZjIYLr0xPndHzAjQ1eVc3Nwn7gf9+2/IsGg\n3eCUikASDHpD/QBde2E6d2/wGDRJVRFHXBfJXgqA6TsYExtnOaLGwUy4BIzjFZqU/WJSvuQumOV9\nkdoc+ugc/TImIQnnR3fg3PprSEoGEeSDf+E+9mvk2z22w1MqosjyRZC3HwAnq+GvooImqSoSbfsK\nDh7wvtah/gZjWrbGDPIaNMuC2ciRAssRqdqQg7nenEvAjBjfYP0M/cQMHo3zwDPQI9PbsH2zV1S1\nYJYWVSkFiAhS1rw/PQP6D7UShyapKuJI9hLvi0AAkznIbjCNjJkUWiq16Kg3F0n5jnw2F0L9bs3o\n6O+NWlsmLR3nzv/CXHkDxASguAj53//GfeFRpOCQ7fCUsuurdeXLKU+81FrxsiapKqKISHnrqV79\nMQlJdgNqZEznbtDtHADk43eRoM8L8BoZESnvjdq9D6Z1W7sBRTjjxOBccCXOvb+HjHbexuwluP/v\ndmT9SrvBKWWRW9a8Pym5fB63Bb5PUps0uYe0tGsr3Jo3v9F2WKq29uyEfd7cMDNQG/jbEF4q9eAB\n5IuFdoNRNbNpHez7BtCrqDVhOnbF+e1TmPMu8DYczMV96ne4r/8R8XunFKVqSPaWL+xizrsAk5Bo\nLRbfT1aKjf2C2NjsCttcV3vf+ZVkL/a+MA6mn505MI1e36HQqi3s24PMmoEMG6tL0vqELAxN0UhM\nxgwcaTcYnzHxCZjrbkP6DMJ99VkoOITMfgf5cjXOzXdBxy62Q1SqQcicf4MIxAQw4xu2ef+JfJ+k\nKsh6M+uUzfzLeqj6RXg+avfemJRUu8E0UsZxMFmXIX97AXZuhQ2rtQ2YD8iRAmS59yHPDBuDiY+3\nHJE/mf7DcDp1w/3z07A+G3ZtxX34ToL/cRPyvR/ZDk+peiUFh5DFcwAwQ8613mNZk9QosPngZord\n4krb4xx/tW6SnL2w42tAG/jbZkaMR955DQoO485+hxhNUiOeLP0USrzfA2b0JMvR+JtploZzxwPI\n3PeQN1+FkmKCrz3P/g2rkB/eAfEJtkNUql7I/I+gOPR7JOsyy9FEQZJ65MhPKCnZXWGbiL+SM+WR\nlUvDX2uSapeJj8eMvQh575+w5gtkzw5M2w62w1JVCBdMdTgbo0PTZ8w4DmbipUjPvrj/Mx12b+fY\nF4swh/Mxv/wvbe2loo6UlCCfvO/d6dkX0+FsuwERBYVTRUXfpbDw1gq3I0d0SMaPwlX9Hbti0tLt\nBqMw4y6CQCxAeb88FZFk+xbYsQXQgqm6Ztp3wrl/OjFlK7JtXIv860+Wo1Kq7smyTyE/DziugNYy\n3yepKjrIoTzY8iWgVf2RwjRtjhkxDgBZ8on3HqmIFL6KGhuHGXqe3WCikImNI/DDO4gPNTSXue/h\nLppjOSql6o7XvD/UdiqjPfQeaDegEE1SVUSQlUu9akLADNAkNVKE5yQFg8gnH9gNRp2UFBchS+cD\n3gc8k6zdTeqDiYmhxT1TMekZAMhrzyNbN1mOSqk68uVK2L0d8H7vGycy0sPIiEI1euGq/jZnYdq0\ntxuMCjNtzoJMb+13mfcBUlRkOSJ1IlmxGI4WAmDO1YKp+hTTtBmxv/hPiIuHYAnu848i+TrCoPwv\n3Lw/JRUzfKzVWI6nSaqyTo4UwperAS2YikRO2dXUgsPIZzrEGWlkQWiov1Ub6N7HbjCNgNPhbMwP\n7/DuHDyA++I0XZlN+Zrs3g7rvH7zZuyFmLjIaV+n5YlR4PYBt+OKi+M4JCcnU1hYiOu6OMYfn0Fk\nzRdQGgR0PmpE6tkXOpwNO75GZv8bGXNBxAwFNXby7R7YtBYAM2qiLrrQQJwho3G3b0ZmvgWb1yP/\n/B/M939qOyylaiVcGBuIxYy9yG4wJ/B9kpqYOJ24uK9P2BpPfv4jVuKxYcrAKQDExsaSnp5OTk4O\nJT5ayi9c1Z+WDh20dU6kMcZgsiYjf3zSW7J29TLor1e8I4EsCl1FdRzMyPF2g2lkzBU/QHZuhfXZ\nyLwPcTt0wdHpFspnJD8PWToPADNiHKZpM7sBncD3l0NiYrYSG7uxwi0Q+Mp2WOo0SXERrF0OeEP9\neiUoMpnBo6F5S+C4uUvKKiktRRbP9e5kDra+MkxjY5wYnFt+BWWFVH9/EdmywXJUStWMzPsAgqGR\nzAho3n8i3yepBQX/zf7971a4HTjwuu2w1Olanw3FXjGOVvVHLhMIYCaE1nD+ar1WNUeCNV+U9zTU\n3qhWmOQUnNvu81agCgZxX3gMOZhrOyylTosUFXlJKngfdNucZTegk/B9kqr8TVaEqvpTUqFbL7vB\nqCqZc8+HhEQARK+mWueW9UZNTQt3YFANz7TvhPOjUCFVfi7ui48hPppupRovWfIJFBwGjiuQjTCa\npCprJBhEVi0DwPQbinFiLEekqmKSksNrwsvyxcj+by1H1HjJwQPelVTAjByHidGfHZvMoFGYi77r\n3dmyAfnHy3YDUqoa4rrlBVPtO3sFshFIk1Rlz1fr4EgBoFX9fmEmXgKOA+Iic961HU6jJYvngusC\nYEbpUH8kMJddC30GASCfzsSd/5HliJSqwpov4NvdQKh5f4TWg2iSqqwJV/UnJELPfnaDUafFtGiF\nGTQK8PpzSuhDhmo4IlK+DGqPTEzrtnYDUkCokOrmu6CV937I/72MbF5vOSqlTs4tu4qamoYZeq7d\nYKqgSWoU2JS3iY25G9mQu4F1+9axIXcDG3M3sikvcotbxHWRld58VJM5GBMbazkidbrMpMneF0VH\nkU9n2g2mMdq0FnL2AmBGT7QcjDqeSWqC87P7ID4RSoNeo/+8A7bDUqoC2b4FNq4BwIz/DiYQuX9/\nfd8nNRD4nPj4/RW2iTgUF4+xFFHDO/+t8yl2iyttj3Pi2HrjVgsRnYatm6CsClar+n3FdOoG3XvD\npnXInPeQiZdG9C+5aCMLZnlfJCZjBo60G4yqxLTtgPPjX+K+8Cjk5+G+8CjO3Y/qB3EVMWR2qPA1\nLh5z3gV2g6mG76+kpqT8hhYtvl/hlpZ2s+2wVDUkO1TVH4jFZA60G4yqMScrdDX14AHki4V2g2lE\npLAgPE3GDDsvopYvVOXMwBGYi//Du7N1E/K3FxARu0EpBUju/vDvbDNqIiY5xXJEVfN9kqr8R0SQ\n7NB81HP6YxKS7Aakaq7vEGjdDgCZOUP/ADcQWTYfSrxRE3OuFkxFMnPJNd7PCSCLPkbmfWg5IqVA\n5r4HpaVgjFcIG+E0SVUNb88O2PcNoFX9fmUcp3x1kl1bYcNquwE1EuGCqQ5dMLqEcEQzjoNz452Q\nEfow989XkE3rLEelGjM5dqS8jqD/MEyryC+69H2SWlqaTmlpxgm31rbDUlUIX0U1DqbvULvBqFoz\nI8ZBk6aALpXaEGT7FtjxNQBGV5jyBZOUjHPb/V4Hk9JSr9F/bo7tsFQjJQs/hqOFwHFTtiKc75PU\nQ4f+wbffLq9wy8n51HZYqgrh1lPde2NSmtoNRtWaiYvHjL3Iu7N2ObJ7h92AopwsDBVMxcZhhjWe\nwlC/M23ae1dUAQ7n4z7/KFJSudBVqfokbiny8b+9O527Q1d/rPDo+yRV+Yvk7IWdXscBo1X9vmfG\nXQShyv5wxaiqc1JUhCz1PnybQSMxSU0sR6RqwvQf5s1RBdi+Gfnr8zqPWzWs7CVwYB8Q2c37T6RJ\nqmpQ4ap+wAwYZjESVRdM02besD8gS+ch+XmWI4pOsmJxeJiubGla5S/m4v+A/t7vPPlsLjL3fcsR\nqcYk3Ly/RStfta7zfZ9UBTOvmImIEIgNkNY8jdy8XIIlwYj8pBROUjt1w6Sl2w1G1QmTNdnr3RkM\nIp+8j5l8ne2Qok54qL9VG69HrfId4zg4P56CO/VXsHcX8vr/IO07Ynpk2g5NRTnZsgG2bADATLgE\nExNjOaLTp1dSo0D35t3pkdaDnmk96d2qNz3TetIjrQfdm3e3HVoFcigPtnwJgBkw3HI0qq6YNu0h\nczAAMu9DpKjIckTRRfbuhlBVuBmdFZEfPtXpMYlJOD+7HxKTwHW9FakOaCGVql9u2VSsxCTfFV1q\nkqoajKxcCqF5WNp6Kro4ZUulFh5GFs+xG0yUkUUfe184DmbEeLvBqDNmMtrh3HQXGAMFh3Cfn4oU\n6wc7VT8kZy+sCC1Bfu4kTKK/+pL7Pkl1nK0EAhtPuH1lOyx1EuGq/jZnYTLa2w1G1a0emRDq2ykf\nv4O4pZYDig4SDCKfzfXuZA7GNEuzG5CqE6bvEMxl3/fu7NiC/PU5LaRS9ULmvAvieh9yx0d+8/4T\n+T5JTU29iVatxle4tWx5se2w1AnkSAFsWANoVX80MsZgyq6m7vsGVn1uN6BosfYLCBWjOedqwVQ0\nMRd9F0IjSrJkXnl7IKXqiBwpCC8AYgaNwrTwXx2I7wunDh16hqKi3BO2+mdScGMhq7+A0iAAZqDO\nR41GZtAo5M1XIW8/7qwZxOi84zPmLgitMJWaBn0G2Q1G1SljDM6P7sDduxv27EDe+DPSvhOmVz/b\noakoIZ/OhKJjgFfg6ke+v5JaWtqbkpLBJ9wG2A5LnSBc1Z+WHh4WVtHFBAKYCaHhpM3rka832g3I\n5yTvAKxZDoAZOd5XFbnq9JiEJJyf3QdJyV4h1cu/R/Z/azssFQUkGETmvOfd6XYOpnM3uwHVku+T\nVBX5pLgI1ob+2A4YrtXJUcycO8lbAhIQXSr1jMjiOd5cMsCMnmg5GlVfTKu2ODf/KlRIddgrpNIO\nGeoMyRcL4eAB4LjCVh/y/XC/gqdWPIUrLo7jkJycTGFhIa7r4hiHKQOn2A4P1mdDqHpVq/qjm0lK\nxpw7CZn9DrLiMyRnLyY9w3ZYviOuW17V3yMT06qt3YBUvTJ9BmEu/wHy1v/Czq3I/z4LN92lH+hV\nrYgIUta8v1Ub6DvEbkBnQJPUKPBM9jMUu5XXgo5z4iIiSQ1X9aek+ma9YFV7ZsKlXkWp6yJz3sV8\n72bbIfnPprWQsxfAd30NVe2YC66E7VuQ5YuQZZ9Chy6Y8y+3HZbyo01rYccWAMzEyzCOf6cK6XC/\nqlcSDCKhSm/Tf5ivf1jU6TEt0jGDRgEgC2cjhQWWI/IfKSuYSkrW0YdGwhiD+dEd0K4jAPLmq8j6\nbMtRKT9yy6ZaJTXBjPR3b2VNUlX92rQWjnhJiq4y1XiE21EVHfMqTNVpk8ICZMViAMyw8zBx8ZYj\nUg3FxCd4K1IlNQFxcV963GvGrtRpkr27YHXowtDYCzHxCZYjOjO+T1JTUm4kPX1chVvLlt+xHZYK\nCVf1JyRCT22t0liYTt2gex8AZO67SLDEbkA+IkvnQeh8mdHaG7WxMekZOLfcDcaBIwW4zz2ChNoI\nKVUdmR3qtxsTwIy7yG4wdcD3SWogsI3Y2E0VboHAZtthKULFH6Ek1WQOxsTGWo5INaRwRenBXOTz\nhXaD8QkRKR/q79gV0+FsuwEpK0zvAZgrr/fu7N6O/OUZXZFKVUsOHwqvUGeGjsE0a2E5ojPn+yRV\nRbCtmyDfW2hB59U1QpmDIaMd4LWj0j+yp2HHFti1FdC2U42dmXQ5Zsi5gNdOSD56y3JEKtLJ/A+g\nxCuiNpMusxxN3dAkVdUbyQ5V9QdidbWcRsg4DmZi6Bflrq3w5Sq7AfmALJjlfREXhxk6xm4wyipj\nDOaG26F9ZwDk7f9FQv2mlTqRlBQjc9/37vTqhwn9v/E737eg+u3ceLYfrDgxuNQN8u6mHvzhvD9w\nYecLT/ncD7d+yC/n/7LK/W/8YdWr5tz+ye3M3H7qwpDzO57PM+OeqXIfPf7So8rHqzuO1kmt2V2w\n27tjgNAFq6AbDO/bynEUHYNBLjgx8I/+1t4PY0z4Kl5DvB9++H9ljOGZ8c8w6axTz3msi+P4ZfA9\nZg5aCQgsnAzLKhYBRcr78fXNX1f5eEP8nD816nHOX/YpAGbgKExSkwqP++H/FUTHzwdEznE8/bP7\ncR+502v0/8oTOPdPr9A3NxKO42cf/4wPt354ysej6f2o7jjOfuXsCn9zTlRfxyFL58PhfACmdN7K\nzCrOZ0O/H/1a92PhjbWb8lWrJHXWrFnMmTOHhIQERIQbbriBLl1OvdTlr3/9a5KTkytsGzp0KBde\neOoDPF0ffFVE9t6TTyoPSrDK5wYlSEHJmbXHOVZ6rMp9HCutfsJ7dTFUdxz3D7ufn8z5iXfnhJ+L\n0z2+ejmO8HV6F0pKGs374ZfjKHVLq3y8To5DiimIKXsd7/9Bhcf1/QgLbl4HR48AYM6t3BvVN8cR\nLe9HhByHadka55Zf4z71ABwpxH1uKs69v8ckJAH+OY7q6HGUP17T46jQvL/NWRxLKaFgf+Qcx5Hg\nkWpf71RqnKTOmzePGTNmMG3aNFJSUli9ejUPP/ww06dPJy0t7aTP6dSpE7fddlutg1RKqWgnG1Z7\nX7RqC9162w1GRRTTqx/muz9CXv8j7NmB++encX7yG12RSnnWZcOeHQCYrMug6A3LAdWdGs9JffPN\nN8nKyiIlJQWAvn370r59e95///06D04ppRqNb3YB3gpTmnyoE5mJl2KGnefdWfEZ8sG/7AakIoY7\nO9S8PyUVM3ys1VjqWo2upO7fv599+/aRmZlZYXtmZibLl596QveOHTt45JFHKCoqIiEhgREjRjBu\n3LjaRayUUtHKcXy/QoyqH8YYuP7nyDe7YMcW5J2/IWdFR3GMqj3ZtQ3WrwTAjPsOJjbObkB1rEZJ\nam6u106oWbNmFbanpqaGHzuZ22+/nbZtvYnee/bs4cknn2Tnzp1cf/31NY1XKaWiV98hmNTmtqNQ\nEcrExePcdh/uw1Og4BDu/0yHzOqfp6JXeC5qbBxm7JnX+USaWhVOOU7lWQKu657y+8sS1LKvb7rp\nJh544AGuuuoqkpKSqn29vLw88vLyKmyLi4ujffv2VT4vEBMgtooG8oGY6g+/qufDyc/FiY9Xt4/q\n6HGU0+Mof/xMj8OJqXoffjmOung/AoFAhX9P1BDHARA79kJiTrGfhnw/qjsfVYmWn48Tj+PEc2Lt\nODLaUvqz+yl5/N5woV1V6vP9KDsX1U1PiZSf80j8f3Wyx6tT9nw5mEvR0vkAxIyaQGxay3CcVbF1\nHLt27aK4uLjCtubNm9O8+ak/mNfoN1BZYVR+fn6FIqn8/Hxatmx50ueUlpZijKlw0jp39oYovvnm\nmyq7ApSZPXs2b7xRcSJw586dmTZtGv99ERwuqvj9R0rgitehadOmpKenn3K/Tfc1rfa1q3o+QHx8\n1etqx8fHV7uP6uhxlNPjKH/8TI+jSXKTqDiOung/yn5JnuqXZUMch5PSlNbjL8Cc4o+Ujfejqj8e\npxItPx+nOo6yc2L1ONIncPjgnRx86YlqY2iI9yMuruoh5kj5OY/k/1fhx2twHPkf/ouiUq/KPv17\nNxIb2h6px/Hss8+ydevWCtuuuuoqrr766lPup0ZJasuWLcnIyGDdunXhRBNgzZo19Ot38nXZ//nP\nf5Kbm8vPf/7z8LZ9+/bhOM4pE9sTZWVlMXjw4Arbyn4oCovh0AlJ6tFQZ4RDhw6Rk5Nzyv0eOnSo\n2teu6vkARUVF1T5e3T6qo8dRTo+j/PEzPY6CwoKoOI66eD/y8vJo3rw5eXl5BIOVW6s0xHHQvQ/7\nc/NO+XBDvh+BQKDK81GVaPn5OPE4Tjwnto9Dho/HWZsNJVU3+K/P96PsnJx4dexEkfJzHon/r072\neHVycnKQomMUvecVzzn9hnIwIRlC+43U4/jFL35x0iupVanxWM6VV17Jv/71L8477zxSUlJYuXIl\ne/fu5e677wbgD3/4A927d+eiiy4CoFevXjzxxBNcdNFFnH322Rw7doy//vWvZGVlkZqaelqvWdXl\n4Hs+huy9J39esDRIyQl9GU98vDpVPR+qnuZQ9nh1+6hOdcfx4OIHq92HH44jWt4PvxyHW1r1Pvxy\nHHXxfpQlYsHgyffVEMdB9z4R936c6nxUJVp+Pk51HGXnJCKO49qfwKu/r3IfDfF+VLfkcaT8nEfy\n/6vjH69OSUkJ7qczofCwt2HipRX2GanHUd0UzZOpcZI6ZswYioqKeOihh0hMTCQQCPDAAw/QtKl3\naXf37t0VCqsGDBjAlClT+OMf/0hsbCxHjx5l2LBhXH755TUOVp3c3sJTZOlKRbqCw7YjiBypzar/\nHqWOY+KqHtZV0UlcF5n9b+/OWZ2hR/RWz9WqcCorK4usrMorogA8/vjjlbYNHjy40nC9UkrJvj22\nQ1BKKX9Z/TmEfneaSZOjuq9yjZv5K6VUnck7gOToSIBSSp2ucPP+Zi0wg0fbDaae1epKaiRJCiTR\nJLbJSR8LmKoPL2ACp3zu6UqISahyHwkxCdXuo7oYqjuOM9l3mTM9DikqoklpDCAQEwsnaU1h6/0w\nxoTnTDXE++GH/1fGGGKcmCqfX6/HIQJFR0lwDTLnXcz3bj7lPqLy/RCBomN4Py8BiI3z53GchB7H\n6avz4ygphrK5gIFYCMT68zhOwk/HcfzfnBOd8XG4LmxaB4AZfzEmUPlvbaS9H0mB6luNnoqR6mY8\nR7i8vDyOHj1qOwyrOv+xM8Vu5erKOCeOrTduPckz6p5kL8F9fioAzt1TMd37NMjrVic2Npb09HRy\ncnLOvLAlSkTKOXFfeQJZ9inEJ+BM+xMm+cz+wJyJhj4n7pz3kH+8DIDzu6cxEbZyUKT8H4kkfjgn\nUlKM+/h9sHUTAM5P78UMHFFvr+eHc9LQ6vucRNLvzdOVmJhYq3Z2EAXD/XFxH5CU9PcKt8TE122H\n1ehI9mfeFymp0LWX3WCUL5hJk70vio4hn35kN5gGJCLIwlnenY5dIy5BVf5lYuNwfnovNPWK8Nw/\n/QHZs8NyVKquyIEc5IuFAJhRE32RoJ4p3yepycnTadbs7gq31NT/tB1WoyLBILJqGQCm/zBMNcPI\nSgGYjl3DVaky9z0k2EiuxGzfDLu2AWBGn7wAVanaMs1b4Pz0N940kqKjuM9NRY4U2A5L1QGZ+543\n3G8MZuKltsNpEL6fk6rg9gG344qL4zgkJydTWFiI67o4poE+g2xaC0cKATAD6m9oSUUfJ2sy7sY1\ncDAXWbYAM3K87ZDqnSyY7X0RF4cZOsZuMCoqma7nYK65BXntedi3B/eV6Ti/+K1eQPAxOXoEWTDT\nuzNgOCY9w25ADUST1CgwZeAUwN78oPBQf0Ii9OzbYK+rokDmIMhoB3t3I7NnICPGRXU7FSk6hnz+\nKQBm0ChMUrLliFS0cs67AHf7ZmTBLFi7HHnn75jLf2A7LFVLsmg2HD0CeB/uGwvfD/eXlPSiuHhg\nhVtJycmXaFV1T1wXyV4KgOk7BHOSqn6lTsU4DibrMu/Orm3w5Uqr8dQ3Wb4o/IfGjJ5kORoV7cw1\nt0KXngDIB//y/v8p35HSUuTjd707Z/fANKK6D99fSS0o+O9GX91v1dZNkJ8LgBkw3HIwyo/M8HHI\njL/B4XzcWTOIOWeA7ZDqTXiov3U76HaO3WBU1DOxsTg/+Q3uw3dCfi7un5/GyWiPadfRdmiqBmTF\nZ3BgHwBO2Yf6RsL3V1KVXeGh/kAs9BlkNxjlSyYuHjP2Iu/Oumxk93a7AdUT2bsLNq8HwIyeGNXT\nGlTkMM3SjiukOob73CNIoS5H7BcigpQ172/RChpZ3YcmqarWRMT7hAfQewAmIdFuQMq3zLiLIDYO\noPwXcpSRhaGrqDExmBHRXyCmIofp0hPz/Z94d3L24r78BOKW2g1KnZ4tX4b73pqJl2BiGlfxmyap\nqvZ2b4fQkpZa1a/OhElJxYwYB4AsmY8czLUcUd2SYBBZPNe7kzkEk1q7xtZK1ZZz7iTMeRd4d9Zn\nI2+/ZjcgdVrc2e94XyQmNcqWdZqkqloLX0V1HEy/IXaDUb5nJobmWpUGkU/etxtMXVv9ORzOB8A5\nt/H9oVGRwXzv5vBiK/LRm7ifL7AckaqK7PsGspcAYM49H5NQ++VF/UqT1CiwKW8TG3M3siF3A+v2\nrWND7gY25m5kU96men1dCf3w0L0PpknTen0tFf1Mm/bQbygAMu9DpOiY5Yjqjls21N+sBfQeJDV9\nDQAAIABJREFUaDcY1WiZgFdIRbMWAMhfnkF2NszS2armZM67IOJNEZpwse1wrPB9dX8g8Dnx8fsr\nbBNxKC5uPE2yz3/rfIrd4krb45w4tt5YP7+AJGcv7PL2rVX9qq44WZNxVy2DIwXI4jmYcd+xHdIZ\nk9z9sHYFAGbkhEY3p0xFFpPaHOe2e3F//xsoLsJ97hGc3z6pFxoijBQWIIs+BsAMGo1JS7cckR2+\nv5KakvIbWrT4foVbWtrNtsOKeuGqfsD01yRV1ZHuvaFjVwBk9jtRUdwhi+eAuIBX1a+UbaZzd8x1\nt3l3DuzDfflxpNT/P2vRRD79CEKjSWZS42o7dTzfJ6kHD/6DvXs/r3Dbt2+e7bCiXng+aufumLSW\ndoNRUcMYU97cP2cvrFxqN6AzJK5bXtXfq1+jWcpQRT5n1MTykYovVyFvvWo3IBUmwRJk7nvene59\nMKEP7o2R75NUkXRct+0Jtza2w4pqkp8HX28EtKpf1T0zaBSEhrbcWT5vR7VxTbgJtxmlV1FVZDFX\n3+iNXgAyawbu0vmWI1IA8vlCCHU4aWzN+0/k+yRVNTxZudSbzI3OR1V1zwQCmAmXeHe2bEC2bLAb\n0BmQBbO8L5KaYAbqBzoVWUwggHPrPdDcGw2TV59FdmyxHFXjVqF5f6u20Ldxd87RJFXVWHiov20H\nTEY7u8GoqGTOnQSJXrsVv15NlYJD4bnbZvhYTGixAqUiiWnaDOe2e71VA0uKcZ+bioTapSkLNqyG\nUMcFk3UpxmncaVrjPnpVY3KkADauBvQqqqo/JjHJS1QBspd43SR8RpbOh2AQAKO9UVUEM526YX7w\nM+9Obg7uS7/XQipLws37m6RgRkywG0wE0CRV1Yis/hxCv7x0+FLVJzPhEoiJAXGRj/9tO5waEZHy\nof5O3TDtO9sNSKlqOCPHl0+z2bgGeePPdgNqhOSbnbDmCwDMeRdi4uMtR2Sf7/ukKph5xUxEhEBs\ngLTmaeTm5RIsCWKMqfPXCjfwb9EKzjq7zvevVBmTlo4ZNBpZNh9Z9DFy6bWY5Ca2wzo92zZ7ywZD\no1zKUPmTuepHyK5tXpL68b9xO3TBCS1XrOqflF1FDQSiokd0XfB9kpqaegmpqasqbBNpwrffLrcU\nUcPr3rw7ALGxsaSnp5NjcigpKanz15GiIljrnVczYES9JMFKHc9Mmowsmw9Fx5BPP8JceJXtkE6L\nLAxdRY2LxwxtPAuLKH/zCql+jfvwnZCbg/z1OaTtWY26BVJDkcP5yGefAGCGnYdJbW45osjg++F+\nxzmC4xRUuBlTYDus6LQ+G4q9la10PqpqCKZjF+iRCYDMeQ8J1v2Hr7omRceQZZ8CXjstk9j41ttW\n/mVSUnFuuw9i47xCquenIocO2g4r6sknH0Do95uZ2LjbTh3P90mqajjhqv6UVOja024wqtFwJk32\nvsjPDSd/kUy+WATHjgKUF38p5SOmYxfM9T/37uTux31pGhIqAlR1T0qKkXkfeHfOGYBp38lqPJFE\nk1R1WiQYRFYvA8D0H4ZxdP1x1UD6DIKM9oDXcFxCPXojVXioP6MddO1lNxilaskZPrZ89bdN65B/\n/cluQFFMlsyDUNuvxt68/0S+n5N66NAzFBXlnrBVE6g6t2kNHCkEdJUp1bCM42CyLkP++pxXjPTl\nSjhngO2wTkq+2QWbvwS8gimdt638zFz5Q6+Q6stVyNz3vEKqUdoWqS6J65YXTLXrCL0j83ebLb6/\nklpa2puSksEn3PRNrmvhqv7EJOjZ124wqtExI8Z500wAd2bkNveXhbO9L2JivJiV8jETE4Nzy91e\nNxdAXnse2brJclRRZl02fLMTAJN1mX6wPYHvk1RV/8R1keylAJjMwZjYWMsRqcbGxMaVt2RZn+1d\n3YkwEixBPpvr3ek7BNNUq3OV/5kmTXF+dj/ExUGwBPf5R5H8PNthRQ23bAnUps0wQ8+zG0wE8v1w\nv4KnVjyFKy6O45CcnExhYSGu6+IYhykDp5z5C2zdBPnelApt4K9sMWMvRD58A0qKkdnvYH50h+2Q\nKlr9efm8Mi2YUlHEnNUZc8PtyCtPwMEDuC9Ow7nrIdALFmdEdm6FL70Wmmbcd/QC0ElokhoFnsl+\nhmK3uNL2OCeuTpLUcFV/IBZ6Dzzj/SlVGyYlFTNiPPLpR8jS+cjlP8A0S7MdVpi7IDTU36yFzitT\nUccZOgZ3x9fIzLdg83rkn/8DP7zddli+JmVXUePiMOddaDeYCKXD/apKIoJkh5LU3gMwCYl2A1KN\nmsm61PuiNIjMfc9uMMeR3BxvbhlgRk3Q7hcqKpkrfhAuWpR5HxKc/5HliPxLDh5Ali0AwIwYj0lp\najmiyKRJqqra7m2QsxfQqn5ln8loD/2GAiDzP0KKjlmOyCOL54C4AJhREy1Ho1T9ME4Mzi2/gvQM\nAIJ/fY6iDWssR+VPMvd9KPV6z2rz/lPzfZKaknIj6enjKtxattQ1b+uKrAhV9TsOpt8Qu8EoxXHN\n/Y8UIIs+thsMocLChaE4evXDhP6AKxWNTHKKtyJVfAIEg+x/5G5KF32MFB62HZpvSNExpOwqdL+h\nmIx2dgOKYL6fk1pSMojS0pYVtonEW4om+oSH+rv3wTTR4QgVAbr1ho5dYftm5ON/I2MvtDu8vmE1\nHNgHeL1RlYp2pn0nnB/dgfviNNzc/bivTAfHgR6ZmAEjvAVfmrewHWbEksVz4Ii3fLuTNdlyNJHN\n90nqsWO3cfToUdthRCXZ9w2EWv1oVb+KFMYYzKTJXqVxzl7IXgqDRlqLJ9wbNTkFM2C4tTiUakhm\n0CgCP7oD+eBflH67B1zXa/r/5Srk7y9C5+5ewjpguF4pPI64peXN+zt0ge697QYU4XyfpKr6E27g\nD5j++sdXRQ4zaBTy5quQm4M7ewYxlpJUKTgUHm0ww8diYuOsxKGUDYHzLqDlldexb/lSSj5f4P3N\n2L3de3DrJmTrJuStV6HNWZiBI7y6hg5nN+6G9as+L6/zmDS5cZ+L06BJahTo2qwrQTeIMYaYQAyl\nwVJEhIBzZm9veKi/c3cdulERxcTEYCZeirz+R9iyAdmyAdOlZ4PHIUvmQTBU/DBaC6ZU42OMwenY\nBadtB7js+8i+PUj2Ei9h3bLB+6ZvdiLv70Tefx1atPKmAwwYAd16NbpOGO6sUNup5i0xg0bZDcYH\nNEmNArOv9IYbY2NjSU9PJycnh5KSkjPapxzMDf+C0ap+FYnM6Czk3f+Do0dwZ80g5qe/adDXF5Hy\nof7O3THtOzfo6ysViUyrtpjzr4Dzr0AO5iIrl3oJ68bVUFoKB/Yhc95F5rwLTZpi+g31/sac0y/q\nRyJk6ybYvB4AM+FiTEBTsOroGVInJSuXhr/WeXYqEpnEJMy55yOz3obsz5B932BatWm4ALZ9FR7a\n1KuoSlVmmqVhxl4IYy9ECguQNZ97CevaFVBcBAWHkEUfe1064hMxmYNgwHBv+e3EJNvh17nwXNT4\nRIyuSndaNElVJxUe6m/bQSe9q4hlJlyMzPk3lJYiH/8bc+2tDfbasmCW90VcPGbImAZ7XaX8yCQ3\nwQwfB8PHIcVFsD4bWbEEWf05FB6GoqPIFwvhi4VIIAA9+3lFV/2HYpo2tx3+GZMD+5DliwDvQ61J\namI5In/wfZKakPAqgcDOCttE4igo+IWliPxPCgtgo9egWav6VSQzaemYwaO9ZVIXfYxcdi0mOaXe\nX1eOHS1fLWbw6Ki86qNUfTFx8dB/OKb/cKS0FDatLZ/HevCAN8977XJk7XLkteehSy8vYR0w3Ld9\niGXOu14HBONgJlxiOxzf8H2Smpj4v0B2hW2u20ST1DMgqz/35g6hQ/0q8plJk5Gl86G4CJn/Eeai\n79b7a8ryRVDktb4z52pvVKVqy8TEeItg9OqHXHMLbNuMZC/2Eta9u0EENq9HNq9H/vUnaN851Clg\nOLTr6IvqeDlSWD7yMtC/ibYNvk9SVd0LD/W3aAVnnW03GKWqYTp0gR6ZsHENMvc9JGsyJja2Xl8z\n/Acnoz106VWvr6VUY2GMgc7dMJ27wRU3IN/sRFZ85iWs2zd737RrK7JrK/Lvv0N6RrgXK2f3wDiR\nuYimLJwNx7wPtdq8v2Y0SVUVSFERrFsBeFX9fviUqpRz/uW4G9dAfh6y7FPMqAn19lryzc7yzhej\ns/RnRKl6YtqchfnOWfCdq5HcHCR7qXcR5at13tB5zl5k1tte8WRq8/LWVj36YAL1+0H1dElpqTfU\nD9Clp5VWeX7m+yS1uHgMpaVtK2wTSbAUTRRYtwKKiwGdj6p8pPdAaHOW149x9gxk5Ph6Sx7Dbadi\nYjAjxtXLayilKjJp6ZgJF8OEi5HDh5DVy7wrrOuyIVjifUCd/xEy/yNITMb0HewlrH0GYuLt5QSy\nYjHk5gB6FbU2fJ+kFhz6LcdCSVVjlfVm1imb+Zf1UD1d4VWmUlKhS496iFapumccB5N1GfK//+21\nhVq/EnoPqPPXkWAJsniud6ffUEzTZnX+GkqpqpmUpphRE2HUROTYUVi3wusUsOZzOHoEjhZ6xZRL\n50NsHJzT3xsZ7DcE06Rpg8UpIkhZ8/6WrWHAsAZ77Wjh+yQ1+NfnkIuuxqSk2g7Fms0HN1PsVk7U\n45yaNUaWYBBZvQzwCqYa20ogyt/M8LHI23+Fw/m4s94mph6SVFZ9DgWHAHBGa59DpWwzCYkwaJS3\nVHKwBDas8ToFrFwChw5CSTGsWoasWoY4DnTvE2ptNRyT1rJ+g/tqvddPGTATL9W/qbXg+yTV3boJ\n9+E7cW67F9Oxq+1w/G3TGjhSCGhVv/IfExuHGfcdr6Bi/Upk19Y6XwXKXRgqmGreEnr3r9N9K6XO\njAnEesP7fQYi378Vvt5Y3toqZ683j3XDamTDauT/XoZO3UKtrUZg2rSv83jcsub9icnelV9VY75P\nUgHIzcF97B7Mdbfh1GPBRLSTFaGq/sQk6NnXbjBK1YIZexHy4RtQUozMegfz41/W2b4lN8eb/waY\nURP0qohSEcw4MdD1HEzXc5CrfgS7t3lTArKXwK6t3jdt+wrZ9pU3ApPRPpyw0qnrGc9pd/fuhlXe\nyo1mzPneFV9VY5HZr6EGAlfcAHFxECxB/vI07t9e9C75qxoR1w0vhWoyh0RMZaRSNWFSmmJGjgdA\nln2KHDxQZ/uWRXO8no3G6FURpXzEGINp3xnn0muIeeBpnKkvY777Y+h6DpQlo3t3IR++gTv1Ltzf\n3Ij7fy97V1xDPcNrqnT2O97vi5gYzPiL6/BoGhffJ6kx/Ybg3PN7b1IyIPM+wH3i/jr949QofL0R\n8vMArepX/mYmXub94SkNInPfq5N9iut664sD9OyLCf2+UUr5j0nPwJk0mZh7HsN54i+YH9wGfQZC\nTGhwOXc/Mvc93Om/xf3V9bh/fhpZudRbzvU0lB7OpzTUS9kMHl3/c1+jmO+H++PiPsD0/Ab5/Qjk\n05mwZydSuogjD9+J85N7MF3PsR2iL4Sr+mPjvB9WpXzKZLSDvkO8Yon5H3mFlWc61LZhFRzY5+3/\nXC2YUipamKbNMWMugDEXeCtDrfkCspcga5dD0TEoOIwsnoMsngPxCd6c1wEjMJmDMUnJJ91n4Ydv\nQSihNZO07dSZ8H2Smpw8nfCyqKHVEN0jDke+2wL3ifsx/3EzZuyF2nC7CiJSvsrUOf2t9pRTqi44\nky7HXbUMjhQii+Z4/RXPgCwItXJLTsH016JCpaKRSUrGDDsPhp2HlBTD+lVI9mfIqqVQcNhLWpcv\nRpYvRmIC0DPTS1j7D8OkNge8NnWH3/2nt8Memd6KeKrWfJ+k5uXN4ejRoxW2yYrPIP4PUHQU+fuL\nXguI7/8EExdvKcr6dfuA23HFxXEckpOTKSwsxHVdHHOaszl2b/MqH9GhfhUlup0Dnbp5hRFz/o2M\nu7DWhU5y+JDXzgavzVV9L7mqlLLPxMZBvyGYfkO8eamb14c6BXwGufuhNAjrspF12cjfXvCWZR0w\nglLAzd0PaPP+uuD7JPVkzMAROG3a4z4/Ffbu9i7V79rmtalq0cp2eHVuysApAMTGxpKenk5OTg4l\nJadfPBau6nccTL+h9RGiUg3KGIOZNBl5+XHvA1j2Uhg0slb7kqWfQDDo7Xd0Vl2GqZTyARMT410V\n7ZGJ/MdNsGNLqFPAZ/DNTq9AassGZMsGgmXPyWgPmYOsxh0NfF84dSqmzVk4902H/qEVHnZswX14\nCvLlKruBRaDwfNQemZjkFLvBKFVHzMCREPpQ6s56u1b7EJHyof7O3THtO9VRdEopPzLGYDp2xbn8\nOmL+6zmch57HXHE9dO5e4ftiLrgc40RtitVgovoMmsQknJ/ei5l8nVftW3AY96kHcGe+hYjYDi8i\nyL5vYNc2QBv4q+hiYmIwEy/x7ny9Edn8Zc13snUT7Nnh7U+voiqlTmAy2uNceBUx9z2BM+1PBK7/\nGc1/fh8xYy6wHVpUiOokFbw1vZ3vXI3zi99BUjKIi7zxF+Tlx701fxu58FVU0IIQFXXM6CxI9Cpw\n3dkzavx8WRi6ihqfgBl6bl2GppSKMiatJYHxF9Pkwiv0KmodaTRn0WQOwrn/SWjXEQD5YiHuY79G\nvt1jOTK7wlX9nbtjmrewG4xSdcwkJGHGhFpGZS/xRg5Okxw7iixb4O1n8ChMQlJ9hKiUUuoUoiBJ\nLcSYw5VuJ2NatcG593HM0DHeht3bcR+5C1n1eQPGGznkYC5s2QBoVb+KXmb8JRATAyLIx++c9vPk\ni4VQ5I22mNHaG1UppRqa75PU5s0vpU2bnhVurVsPPuX3m/gEzE13Ya6+ERwHjhbi/vdDuP/+P8R1\nGzBy+8ra6gDeesVKRSGT1hIzxBuql0VzkMKTf4g9UXiov81Z0KVnfYWnlFLqFHyfpNaGMQYn6zKc\nOx+ClFQA5N3/w31+KnKk0HJ0NbcpbxMbczeyIXcD6/atY0PuBjbmbmRT3qYqnxeej9quI6Z12waI\nVCk7TFm/wuIiZN6H1X6/7NlRPsoweqIuBqKUUhZEZZ/U02V6ZOL89kncFx7zGv6vWob7yF04t92H\nadfBdnin7fy3zqfYLa60Pc6JY+uNW0/6HCksgI1rAK3qV9HPdDgbevaFDauRT95HJl1eZVP+8FXU\nmABm+LgGilIppdTxGuWV1OOZtHScXz9a3l5m3x7cR3/lzUeLYrL6cygtBXSoXzUOTtka2vl5yLL5\np/w+CZYgn33i3ek3FNO0WQNEp5RS6kS+v5J68OA/OHbs0AlbazY0Z2Lj4PqfQ+duyN9fhqJjuC/9\nHrNtM+byH3irTUSZ8CpTLVrBWZ3tBqNUQ+g90Jtf+s1OZPY7yMgJJx/GX7UMCrzfKc652htVKaVs\n8f2VVJF0XLftCbc2Nd6PMQZnzAU4d0+FZmnevme+hfv0g8jhE5Ngf5OiY7B+BeBV9et8O9UYGMfB\nZF3m3dm9HdZln/T73AWzvC/SWsI5/RsoOqWUUifyfZJa10yXnji/fQq6neNt+HIV7iN3Itu32A2s\nLq1bAcXeHFYd6leNiRk+NlwsebLm/nJgH6xf6X3vyIkYJ/pGUZRSyi80ST0Jk9oc586HMeMv9jYc\n2Ic77R7cxXPtBlZHwlX9TZtBlx52g1GqAZnYOMz473h31q9EdlYsLCxdMBtEwBjMqAkWIlRKKVVG\nk9RTMIEAzjW3YH48BWLjoKQY+fMfcP/+IhIssR1erUmwxCuaAkz/YXqlSDU65ryLIC4OADnuaqqU\nlhIsG+rv1Q/TsrWN8JRSSoVokloNZ8Q4nN9M8wqMAPnkA9zp/4nk51mOrJY2roVQL1gd6leNkUlp\nihnpXSWVZQuQgwcAKFr1ORzY532PrjCllFLW+b66vyGYDl28fqqvPOHNV9u8HvehKTg//Q0mAlai\nmXnFTESEQGyAtOZp5OblEiwJnrQgSrJDVf2JydAzs4EjVSoymImXIfM/gtIgMvc9+I+bKJgZuqra\nJAXTf5jdAJVSSvk/SU1NvYTU1FUVtok04dtvl9fp65gmTXHueACZ8Rry4ZuQn4v7+H2Y792EOe9C\nqxXy3Zt3ByA2Npb09HRyTA4lJZWnJIjrIiuXAmD6DsYETt3MXKloZlq3hX5DYeVSZP5HuOMvoXjJ\nPO+x4eOqbPSvlFKqYfg+ST127HpKSnZX2CYSVy+vZZwYzBU3IB274f75aSg6ivztRW+1qu//1Ou3\nGsm+3gihaQo61K8aO2fS5bgrl8KRQkqefhCCQYDyhT2UUkpZ5fsktajouxw9erRBX9MMGonTpj3u\n84/Ct7uRRXOQXdtxfnovpkV6g8ZSE+Gh/tg46DPQbjBK2da1F3TuDls3Ibu2AV4LOtOuo924lFJK\nAVo4VWumbQec+57whgwBtm/GfXgKsmG13cBOQUTKW0/1HoCJT7AbkFKWGWMwWZMrbIsZc76laJRS\nSp1Ik9QzYJKScW67D3PZtWAMFBzCffJ3uLPeRkRsh1fRrm2QsxfQoX6lypiBI8KdO0xCIjFDx1iO\nSCmlVBlNUs+QcRyci7+H84v/9CrmxUX+9WfklSe85UcjRHio33Ew/YbYDUapCGFiYnC+dzOkpNL0\n+7diEpNsh6SUUipEk9Q6YjIH4/x2OoTms8nnC3AfvRvZ943lyDyyIpSk9sjEJKfYDUapCGL6DyPh\n2X/Q9IrrbIeilFLqOL4vnIokplVbnHsfR159Fvl8AezejvvInTg33YXJHFxvr/vUiqdwxcVxHJKT\nkyksLMR1XRzjMGXgFGTfHti93YtRh/qVUkop5QO+T1ITE6cTF/f1CVvjyc9/xEo8Jj4Bbv4VdOqK\nvPEqHCnEffYhzKXXYC66GuPU/cXrZ7KfodgtrrQ9zonzktSyginADNAm5UoppZSKfL5PUhMSPgCy\nK2xz3SbWklQIVQ1Puhw562zclx+HgkPIO39Htm3G+fEUTFJyg8YTTlLP7oFp1qJBX1sppZRSqjZ0\nTmo9Mr364fz2KejY1duwahnu1F8he3Y0WAxy8ABs2eDFM2B4g72uUkoppdSZ0CS1npkW6Tj3PIYZ\nNcHb8O1u3Kl3I8sXN8jrly2DCjofVSmllFL+4fvh/qNHr6S0tGJRkki8pWhOzsTGwQ23Q6duyD/+\nB4qO4r74GOaCKzGXX4dxYurttcNV/e06euuVK6WUUkr5gO+T1GPHbmvwZVFrwxiDGXsR0r4z7ovT\nID8X+ehNZMcWnJt/hWnStB5eVWDTWu/19SqqUkoppXxEh/sbmOnaC+e3T3rrhgOsX4n78J3Iji11\n/2IiUFrqva7OR1VKKaWUj/j+SqofmWZpOHc9jLz+J+ST9+HAPtzH7sFc/zOc4eNqvL+uzboSdIMY\nY4gJxFAaLEVECOQe8L6hZWs4q3MdH4VSSimlVP3RJNUSE4jFXHsrbqeuyGsvQEkx8sencLd+hfnu\njzGB039rZl85G4DY2FjS09PJycmhuOAw7pTrgGLMgOEYY+rpSJRSSiml6p4O91vmjJyAc880SEsH\nQOa+h/vkb5H8vDPb8boVUOI1+DcDdT6qUkoppfxFk9QIYDp28fqp9urnbfhqPe7DU5BQf9PaCFf1\nN20GZ/esgyiVUkoppRqO74f7ExJeJRDYWWGbSBwFBb+wFFHtmJSmOHc8iLz9V2TmW3AwF/fx+zDX\n3IIZc36NhuslWIKs/sLbb//h9bIUq1JKKaVUffJ9khoX9yFxcasrbHPdZN8lqQAmJgZz1Q+RTl1x\n//IMFB1DXnsetn0F197q9Vs9De6Xq+FoobdPrepXSimllA/5Pkk9dOgfvuiTWhNm8GicNmfhPj8V\n9n2DLJyN7NqG89PfYEJzV6vilq1mlZgMPTPrOVqllFJKqbqn48ARyrTriHP/dOg7xNuw7Suvn+rG\nNVU+T0pLKQ3NRzV9B2MCsfUdqlJKKaVUndMkNYKZpCY4P7sfc8k13obD+bhP/ifu7HcQkZM+p3jj\nGjjkdQbQqn6llFJK+ZXvh/ujnXEczKXXIB274v7xSThaiLz+R2+e6vU/x8QnkPVmVriZvzl8kNI+\n+WAMsV//jtkDP7Z9CEoppZRSNaZJqk+YfkNw7p/uzVPdswNZ9imyZwfOT+9l88HNFLvF5d+c5P0T\nl18PS60qpZRSSjWAWiWps2bNYs6cOSQkJCAi3HDDDXTp0uWU379kyRLeeecdEhISKCoq4uqrr6Z/\n//61DrqxMq3b4tz7OPLqs8gXC2HXNtxH7oRM13ZoSimllFJ1qsZJ6rx585gxYwbTpk0jJSWF1atX\n8/DDDzN9+nTS0tIqff/atWt56aWXePTRR8nIyGDHjh387ne/44EHHqBz5zNfT95xthII5J+4lWCw\n2xnvOxKZhES45W7o1A1581U4UgilpTq7WCmllFJRpcapzZtvvklWVhYpKSkA9O3bl/bt2/P++++f\n8vuHDx9ORkYGAB06dGDgwIG8/fbbZxB2udTUm2jVanyFW8uWF9fJviOVMQbn/Mtxpvw/aJJiOxyl\nlFJKqTpXoyR1//797Nu3j8zMir03MzMzWbt2baXvLy0tZdOmTSf9/nXr1tUiXHU806uft5xqDVaj\nUkoppZTygxolqbm5uQA0a9aswvbU1NTwY8c7fPgwwWDwpN9fUFBAcXFxpeeomjEtWkGM1r8ppZRS\nKrrUKrtxTrIWvOueungnJibmpNures7x8vLyyMvLq7AtPj6edu3aAT1P8owkEhMTT2vf0aB/Rn9K\n3JJK22Od2EZ1Hk6m7P9efHw8gYAm86Dn5GT0nFSk56MyPSeV6TmpTM9JZbGx3qJCu3fvpqioqMJj\nzZs3p3nz5qd8bo3OYFlhVH5+foUiqfz8fFq2bFnp+5s2bUogECA/v2JhU35+PsnJySQkJJzW686e\nPZs33nijwrZRo0Zxxx13AH+v9P2OA1Ucc9RZevNS2yFEvKZNm9oOIeLoOalMz0lFej6ozw6wAAAK\nnElEQVQq03NSmZ6TyvScVPbGG2+waNGiCtuuuuoqrr766lM+p0bD/S1btiQjI6PSfNI1a9bQr1+/\nyjt3HHr27HnS7+/bt+9pv25WVhaPPfZYhdvQoUN5+umn2b17d00OIart2rWLe+65h127dtkOJWLo\nOalMz0llek4q0vNRmZ6TyvScVKbnpLLdu3fz9NNPM3To0Eq5XFZWVpXPrXF1/5VXXsnMmTM5fPgw\nACtXrmTv3r1cfLFXUf+HP/yBDz74oML3L1y4kG+//RaAbdu2sWrVKq666qrTfs3mzZtz9tlnV7i1\nbt2aRYsWVbp03JgVFxezdetWnet7HD0nlek5qUzPSUV6PirTc1KZnpPK9JxUVlRUxKJFi2jdunWl\nXK6qoX6oxZzUMWPGUFRUxEMPPURiYiKBQIAHHnggfGl79+7dFQqlzjnnHG699VaefPJJEhMTcV2X\nu+++m/bt29f0pZVSSimlVCNRq1m9WVlZp7xE+/jjj1faNnToUIYOHVqbl1JKKaWUUo2QrlOklFJK\nKaUiTsyDDz74oO0gaishIYHevXs3+jZLx9NzUpmek8r0nFSm56QiPR+V6TmpTM9JZXpOKqvtOTEi\nIvUUk1JKKaWUUrWiw/1KKaWUUiriaJKqlFJKKaUijiapSimllFIq4miSqpRSSimlIo4mqUoppZRS\nKuJokqqUUkoppSKOJqlKKaWUUiriaJKqlFJKKaUiTsB2ALUxa9Ys5syZQ0JCAiLCDTfcQJcuXWyH\nZdXOnTtZvnw5H374IY888ggtW7a0HZJVRUVFvPnmm+zcuZPc3FwSExP5wQ9+0Oj/n8ydO5fPPvuM\n4uJijh07xmWXXcbIkSNth2XdoUOH+NWvfsUvf/lLzjnnHNvhWHXLLbfQrl27CtsmTZrEiBEjLEUU\nORYvXswnn3xCQUEBsbGxPPDAA8TExNgOy4pXXnmFnTt3Vjj+4uJiDh48yHPPPWcxMntEhLfffpuV\nK1dijCEYDHLllVcycOBA26FZUVBQwGuvvcb27dsBSE5O5vrrr6dDhw6nvQ/fJanz5s1jxowZTJs2\njZSUFFavXs3DDz/M9OnTSUtLsx2eNXv27CEmJoaDBw/aDiUi/PnPf2bChAlce+21ALz33ns8/PDD\nPPXUUzRr1sxydHasXLmSPXv2cP/99wOwceNGHnjgAVq1akXXrl0tR2fXiy++SH5+vu0wIkL//v25\n7bbbbIcRcV544QWCwSA/+clPaNGihe1wrHJdl6SkJP7rv/6rwvaXXnqJa665xlJU9r377rvs2bOH\nBx98EMdx2LZtGw8++CBTp06lbdu2tsNrcNOmTSM9PZ2pU6dijGHevHk89NBDPPvssyQkJJzWPnw3\n3P/mm2+SlZVFSkoKAH379qV9+/a8//77liOza9iwYVxyySW2w4gIxcXFOI5Dt27dwtsuvvhiAoEA\n2dnZFiOz6+jRo1xxxRXh+z169CA5OZkdO3ZYjMq+OXPmkJSUZDsMFcHmzZvH/v37+cUvftHoE1SA\nYDDIxIkTK2xbsmQJxhj69OljKSr71q9fz/Dhw3EcL7Xq1KkTGRkZ7Nmzx3JkDW/Lli1s2rSJ6667\nDmMMAGPHjiUtLY05c+ac9n58dSV1//797Nu3j8zMzArbMzMzWb58uaWoVKQpKSlhwIABlbYnJCRQ\nUFBgIaLIcOJw7aeffkqTJk0YOnSopYjs27t3L4sXL+aWW25hwYIFtsOJCKtXr2bq1KkcPXqU5ORk\nJk6cyODBg22HZdWHH37ImDFjeOGFF9i7dy+FhYWMHj2ayZMn2w7Niri4OFq3bh2+X1RUxN/+9rdK\nV1Ybm+7du/PGG2/Qvn17MjIyWL16NfHx8fTv3992aA0uJyeHmJiYSiPcGRkZ4eH/0+GrJDU3Nxeg\n0nBtampq+DGlkpOTGTJkSIVtu3btYt++fY1+WBtgxowZzJo1C2MMt99+O02aNLEdkhWu6/LKK69w\n6623hj/pK/jd734XHpr86quvePLJJ9m/fz8XXHCB5cjsKC4uZtu2bQDceeedtG7dmtzcXO6//34S\nEhIa7Xk53owZM8jMzKR58+a2Q7Hq8ssvp6SkhLvuuouePXtSUFDA/fffTyDgq1SrTqSnp1NaWkpO\nTg7p6enh7bt27apRzYzvhvuB8KX047muayES5QfBYJCXXnqJYcOG0atXL9vhWDd58mSef/557rjj\nDqZPn95oRyHeeustRo0aRatWrRAR2+FEjOPnznXr1o1rr72W119/3WJEdhUWFgIwcuTI8NXDtLQ0\nLrjgAmbOnGkztIhQXFzMRx99xIQJE2yHYt2XX37Jrv/f3r2DJNcHYAB/fLtpQUhpGXTTILChlpaG\niG5QEEg4NIiQNBa1GLlEONli1NAcRVAJhaMpRBBEQ1QQLREEWWlq2AWjLPUb4hP6Cr636X/qPL9J\nDyjP5HnO/+blJWZnZ2GxWKDVajE+Pi7LJVV1dXUwGo1YWFjAy8sLMpkM1tfXkUwmv7Uv5EeV1H+H\njf+7weH+/l72u9npa29vb5iZmUFRURFGR0dFx5GU+vp6dHR0wOv1io4ixNnZGXZ2duB0OjE3NwcA\nWFxc/NZ6qd/m9fX10zW9Xo9EIoGHhwcBicQrLi6GQqH4ML0NABqNBre3t4JSScfe3h6USqXsT05J\nJBJwu90YGhqCVquFwWCA3W5HS0sLlpaWRMcTYmJiAlqtFk6nEy6XCzU1NSgpKfmwX+T//KgxaI1G\nA51Oh5OTE+j1+uz14+NjNDU1CUxGUvT09AS3243a2lpYLBak02n4fD5ZTs/F43HY7Xa43e4PT7HJ\nZPLLYiIHDocj+zoajWJkZASDg4OyHm2fn59HRUUFBgYGstcikQgKCwtluywkJycHVVVVuLm5+XA9\nFAp9Kq5ytLu7++UeALmJRqNIp9OfRgmNRiNOT08FpRJLpVLBZrNl319fXyMcDqO1tfWvv+NHjaQC\ngNlsxubmJh4fHwG8H6sTDofR19cnOJl4z8/PAN6Lh9yFQiG4XC709PTAarXiz58/uLi4kO2NVq1W\no7y8HCsrK9mp7WAwiO3tbfT29gpOJ14qlQLAZUMNDQ3w+XyIRCIA3s+PXVtbg9ls/nKZlVz09/fD\n5/MhFosBeC/ufr+f9x28z0h859zL36q6uhqlpaXweDzZ39h4PI6NjQ20t7cLTidWJpPB0dER3G43\nxsbGUFBQ8NefVWR+4GKsQCCAQCAAlUqF3Nxc2Gw2VFZWio4l1PLyMvb39xEKhaDT6dDc3Ayr1So6\nlhCXl5eYnJyEWq3+8FR7dXUFh8MBg8EgMJ04iUQCHo8H5+fnUCgUSKfTMJlMst+5DQDT09M4PDxE\nY2Nj9hxZudra2kIgEEB+fj6SySQ6Ozs/HTckR4FAAH6/H0qlEqlUCt3d3bIvH7FYDMPDw5iampL9\nn2AAwN3dHVZXVxEMBpGXl4dUKoWuri60tbWJjibEwcEBvF4v3t7eoNfrYTKZUFZW9q3v+JEllYiI\niIh+N/nO3xARERGRZLGkEhEREZHksKQSERERkeSwpBIRERGR5LCkEhEREZHksKQSERERkeSwpBIR\nERGR5LCkEhEREZHksKQSERERkeSwpBIRERGR5LCkEhEREZHk/ANa3AYs7rTOcQAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1214a8b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = plt.axes()\n",
    "b.plot(x,y)\n",
    "b.plot(x,np.zeros_like(x)+0.5,lw = 10,ls = \"--\" , color = 'green')\n",
    "b.plot([2 , 0], [2 , 0.8],lw = 10,ls = '--',color= 'red')\n",
    "b.plot([0 , 0], [0 , 2], lw=10, ls='-.', color=\"yellow\")\n",
    "b.plot([1 , 1], [0 , 1], lw=5, ls='--', color=\"green\")\n",
    "b.plot([3,4],[1,1],marker = '1',lw = 0.5 , color = 'blue')\n",
    "b.plot([4],[1],marker = ',',lw = 10 , color = 'blue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b.plot?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ax.legend?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11fc0fc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPMAAAKOCAYAAADDDFyLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123f7d290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fff = plt.figure(figsize=(4,2))\n",
    "aaaaa = fff.add_axes((0,0,1,1), axisbg=\"#e1e1e1\")\n",
    "bbb = fff.add_axes((1,1,2,2),axisbg=\"#e1e1e1\")\n",
    "ccc = fff.add_axes((0.5,0.5,0.5,0.5),axisbg=\"#e1e1e1\")\n",
    "aaaaa.plot(x,y);\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArYAAAHoCAYAAAC8b6z2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAHa1JREFUeJzt3XuMlfWd+PHPXDgOwgCDQ526s8TRluBl0BpWvCQ2Rmej\nLLo1UNLLWt1tE5umNG3V1cZt0VXqTlK8BDetbdy6u26yVVBM6w1Ca7O1tU2NyM3EtMHAgAjjHEdH\nl7lw5veHkZ9HQBn3HI5+5vVKTPR7nuc5n8kTzdtnvudQNzo6OhoAAPARV1/rAQAAoBKELQAAKQhb\nAABSSBu2xWIx7r///igWi7UehSPA/R5f3O/xxf0eX9zv8aXS9zt12K5cudK/GOOE+z2+uN/ji/s9\nvrjf40ul73fasAUAYHwRtgAApCBsAQBIIW3Y1tfXx7nnnhtHHXVUrUfhCCgUCtHR0RGFQqHWo3AE\nuN/ji/s9vrjf48tRRx0V5557btTXVyZJ67L+yWMDAwMxefLkWo8BAMD7qFS3pQ3btxWLxRgZGan1\nGAAAvEtjY2O0tLRU7noVu9KH1MjISAwPD9d6DAAAqiztHlsAAMYXYQsAQArCFgCAFIQtAAApCFsA\nAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUGqtx0e3bt8czzzwTjz32WCxbtixaW1vf\n8/inn346Hn744WhqaorBwcFYvHhxnH766dUYDQCApKoStjt37oyGhoZ49dVX3/fYTZs2xd133x23\n3nprtLW1xbZt2+J73/teLF26NDo6OqoxHgAACVVlK8K8efPikksuOaxjV61aFWeddVa0tbVFRMTM\nmTPjjDPOiIceeqgaowEAkFRN99ju27cvXnjhhejs7Cxb7+zsjM2bN9doKgAAPopqGravv/56jIyM\nxLRp08rWp06dGgMDAzE0NFSjyQAA+Kipyh7bsWpoaDjoeqlUOqzzi8ViFIvFsrVCoRDt7e3/59kA\nAKiunp6eAx5otrS0REtLy5iuU9OwnTJlSjQ2NkZ/f3/Zen9/f0yaNCmampoO6zpr166NlStXlq11\ndHREd3d3xWYFAKA6VqxYEVu3bi1bW7RoUSxevHhM16lp2NbX18fs2bNj8+bNceaZZ+5f37hxY8yZ\nM+ewr9PV1RVz584tWysUChWbEwCA6lmyZMlBn9iOVdXCdu/evRERBwx5xx13xKxZs2L+/PkREbFw\n4cJYvnx5zJ8/P4499th48cUX47nnnoubbrrpsN/rgzyqBgDgw6FS20erErb33Xdf/PGPf4yIiO7u\n7pg7d25cfvnlERGxY8eOsg+LnXzyyXHVVVfFbbfdFhMnToxSqRTXXnut/bEAAIxJ3ejo6Gith6im\nPXv2xPDwcK3HAADgXSZMmBAzZsyo2PVq+nVfAABQKcIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB\n2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArC\nFgCAFIQtAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2\nAACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAF\nACAFYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0A\nACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEA\nSEHYAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBA\nCsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABS\nELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQAqN1bjomjVrYt26ddHU1BSjo6NxxRVXxIknnnjI4//x\nH/8xJk2aVLZ25plnxsUXX1yN8QAASKjiYfvkk0/G6tWro7u7O5qbm2PDhg1xyy23xPLly2P69OkH\nPef444+Pr33ta5UeBQCAcaTiWxFWrVoVXV1d0dzcHBERc+bMifb29njkkUcq/VYAALBfRZ/Y9vb2\nxu7du6Ozs7NsvbOzM5555plDnrdt27ZYtmxZDA4ORlNTU5x99tlx/vnnV3I0AACSq2jY9vX1RUTE\ntGnTytanTp26/7WD+cY3vhHHHXdcRETs3Lkzbrvttti+fXt86UtfquR4AAAkVpUPj9XXH7jDoVQq\nHfL4t6P27b//yle+EkuXLo1FixbF0Ucf/b7vVywWo1gslq0VCoVob28fw9QAANRCT09PDA0Nla21\ntLRES0vLmK5T0bB9+8Nh/f39ZR8U6+/vj9bW1oOes2/fvqirqyuL4Y6OjoiIeOmll97z2xTetnbt\n2li5cmXZWkdHR3R3d4/5ZwAA4MhasWJFbN26tWxt0aJFsXjx4jFdp6Jh29raGm1tbbF58+b9cRoR\nsXHjxjjttNMOes7Pfvaz6Ovri69//ev713bv3h319fWHjOF36+rqirlz55atFQqFD/ATAABwpC1Z\nsuSgT2zHquJbERYuXBgPPPBAfPrTn47m5uZYv3597Nq1K6699tqIiLjjjjti1qxZMX/+/IiIOOmk\nk+IHP/hBzJ8/P0444YTYu3dv/Od//md0dXXF1KlTD+s9P8ijagAAPhwqtX204mF73nnnxeDgYNx8\n880xceLEaGxsjKVLl8aUKVMiImLHjh1lHy771Kc+Fd/61rfinnvuiQkTJsT//u//xrx58+Kyyy6r\n9GgAACRWNzo6OlrrIappz549MTw8XOsxAAB4lwkTJsSMGTMqdr2K/wENAABQC8IWAIAUhC0AACkI\nWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHY\nAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIW\nAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYA\nAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUA\nIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAA\nKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBI\nQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAK\nwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQAqN1bjomjVrYt26ddHU1BSj\no6NxxRVXxIknnnjI459++ul4+OGHo6mpKQYHB2Px4sVx+umnV2M0AACSqnjYPvnkk7F69ero7u6O\n5ubm2LBhQ9xyyy2xfPnymD59+gHHb9q0Ke6+++649dZbo62tLbZt2xbf+973YunSpdHR0VHp8QAA\nSKriWxFWrVoVXV1d0dzcHBERc+bMifb29njkkUcOefxZZ50VbW1tERExc+bMOOOMM+Khhx6q9GgA\nACRW0bDt7e2N3bt3R2dnZ9l6Z2dnbNq06YDj9+3bFy+88MJBj9+8eXMlRwMAILmKhm1fX19EREyb\nNq1sferUqftfe6fXX389RkZGDnr8wMBADA0NVXI8AAASq8qHx+rrD+zlUql0yOMbGhoOuv5e57xT\nsViMYrFYtlYoFKK9vf2wzgcAoHZ6enoOeKDZ0tISLS0tY7pORcP27Q+H9ff3l31QrL+/P1pbWw84\nfsqUKdHY2Bj9/f1l6/39/TFp0qRoamo6rPddu3ZtrFy5smyto6Mjuru7x/ojAABwhK1YsSK2bt1a\ntrZo0aJYvHjxmK5T0bBtbW2Ntra22Lx5c9k3GmzcuDFOO+20A46vr6+P2bNnx+bNm+PMM88sO37O\nnDmH/b5dXV0xd+7csrVCofABfgIAAI60JUuWHPSJ7VhV/FsRFi5cGE888US8/vrrERGxfv362LVr\nVyxYsCAiIu6444549NFHy47/zW9+Ey+//HJERLz44ovx3HPPxaJFiw77PVtaWuKEE04o+8s2BACA\nj4b29vYDWu6DhG3F99ied955MTg4GDfffHNMnDgxGhsbY+nSpTFlypSIiNixY0fZh8VOPvnkuOqq\nq+K2226LiRMnRqlUimuvvVaYAgAwJnWjo6OjtR6imvbs2RPDw8O1HgMAgHeZMGFCzJgxo2LXq/hW\nBAAAqAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSE\nLQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBs\nAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWEL\nAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsA\nAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIA\nkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCA\nFIQtAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACk\nIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACCF\nxkpfcNu2bfHTn/40SqVS7N27N84999y49NJL3/OcBx54INavXx+FQmH/WqFQiO985zuVHg8AgKQq\nGravvfZa/PM//3P8wz/8Q5xzzjnx5ptvxne/+90oFApx0UUXvee53/rWt6K1tbWS4wAAMI5UdCvC\nE088EZMmTYpzzjknIiKOPvrouPjii+PBBx+M0dHR9zz3/V4HAID3UtEntlu2bInOzs6ytTlz5sRP\nfvKT2L59e8ycOfOQ5951113R2NgYIyMj0dHREQsXLozm5uZKjgcAQGIVDdtisRinnHJK2drUqVMj\nIuKVV145ZNief/758bd/+7dRKBRiaGgo/uu//iu+853vxA9+8INoamqq5IgAACQ1prDt6+uLm2++\n+aCvzZ8/PyIi6usPvrvhvbYavHNvbaFQiCuvvDKee+65+NWvfhUXX3zx+85VLBajWCyWrRUKhWhv\nb3/fcwEAqK2enp4YGhoqW2tpaYmWlpYxXWdMYTt9+vS4/fbbD/n67373u+jv7y9be/ufjznmmEOe\nNzQ0VPaNCHV1dTFz5szYuXPnYc21du3aWLlyZdlaR0dHdHd3H9b5AADUzooVK2Lr1q1la4sWLYrF\nixeP6ToV3Ypw6qmnxu9+97uytQ0bNkRLS8shtyHs2LEj/umf/inuuuuumDRp0v71PXv2xCc+8YnD\net+urq6YO3du2do7QxkAgA+vJUuWHPSJ7VhVNGz/+q//Oh5//PH4/e9/H/PmzYs333wzHn300fjc\n5z4XdXV1ERHx1FNPxa9//eu47rrroqGhIWbMmBGTJ0+OBx54IK688sqIiPjlL38Z/f39ccEFFxzW\n+36QR9UAAHw4VGr7aN1ohb9nq6enJ+65554olUoxNDQUF1xwQVx44YX7X//5z38ejz76aNx55537\nn6r29vbGfffdF6+88kqMjIxEa2trXHHFFRX5Xts9e/bE8PDw//k6AABU1oQJE2LGjBkVu17Fw/bD\nRtgCAHw4VTpsK/oHNAAAQK0IWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAA\nKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBI\nQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKwBQAgBWELAEAK\nwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCAFIQtAAApCFsAAFIQ\ntgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwBAEhB2AIAkIKw\nBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsAQArCFgCAFIQt\nAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAUhC0AACkIWwAAUhC2AACkIGwB\nAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSELYAAKQgbAEASEHYAgCQgrAFACAFYQsA\nQArCFgCAFIQtAAApNFb6gm+88UY8++yzsW7dujjllFNi0aJF73tOb29v/Nu//Vv09/fHyMhIzJkz\nJz7/+c9Hfb3uBgDg8FS8HPv7+6NYLMbg4OBhHT8yMhLLli2LWbNmxbJly+L73/9+/PnPf4777ruv\n0qMBAJBYxcP2uOOOi0suuSTa29sP6/jf/OY30dfXFwsWLIiIiIaGhvjMZz4Tjz/+eLzxxhuVHg8A\ngKRq/rv+LVu2xOzZs6Ox8f/vijj11FOjVCrF888/X8PJAAD4KKl52BaLxZg6dWrZWn19fUyePDn6\n+vpqNBUAAB81Y/rwWF9fX9x8880Hfe1v/uZv4sILL/xAQzQ0NBx0vVQqHdb5xWIxisVi2VqhUDjs\n7RAAANROT09PDA0Nla21tLRES0vLmK4zprCdPn163H777WN6g8O5Zn9/f9laqVSKgYGBaG1tPaxr\nrF27NlauXFm21tHREd3d3RWbEwCA6lixYkVs3bq1bG3RokWxePHiMV2n4l/3NVannnpq3HvvvVEq\nlfZ/vdfGjRujsbExTjrppMO6RldXV8ydO7dsrVAoVHxWAAAqb8mSJQd9YjtWVQvbvXv3HjBgRMRT\nTz0Vv/71r+O6666LhoaGOPvss2P16tXx6KOPxoIFC2J4eDhWr14dl156aUyaNOmw3uuDPKoGAODD\noVLbRysetps2bYqf/exn8ec//zkKhUK88MILcfXVV0dzc3NEvLVPd/v27bFv375oaGiIxsbGuOGG\nG+LHP/5xPP3007Fv376YO3duLFy4sNKjAQCQWN3o6OhorYeopj179sTw8HCtxwAA4F0mTJgQM2bM\nqNj1av51XwAAUAnCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBIQdgCAJCCsAUAIAVhCwBACsIWAIAU\nhC0AACkIWwAAUhC2AACkIGwBAEihsdYDVFtjY/ofEQDgI6nSnVY3Ojo6WtErfkgMDAzE5MmTaz0G\nAADvo1LdlnYrQm9vb9x5552xY8eOWo/CEdDT0xPXXXdd9PT01HoUjgD3e3xxv8cX93t82bFjR9x5\n553R29tbkeulDdtSqRRPPfVUDA4O1noUjoChoaHYunVrDA0N1XoUjgD3e3xxv8cX93t8GRwcjKee\neipKpVJFrpc2bAEAGF+ELQAAKQhbAABSaLjxxhtvrPUQ1dLU1BSnnHJKTJw4sdajcAS43+OL+z2+\nuN/ji/s9vlTyfqf9ui8AAMYXWxEAAEhB2AIAkIKwBQAgBWELAEAKwhYAgBSELQAAKQhbAABSaKz1\nANWyZs2aWLduXTQ1NcXo6GhcccUVceKJJ9Z6LKpgcHAwVq1aFdu3b4++vr6YOHFiXH755e53cq+9\n9lpcc8018c1vfjNOPvnkWo9Dlf32t7+NX/3qVzEwMBATJkyIpUuXRkNDQ63HosJGR0fjoYceivXr\n10ddXV2MjIzEwoUL44wzzqj1aFTA9u3b45lnnonHHnssli1bFq2trftfGxgYiHvvvTd27NgREREd\nHR3xpS99KZqamsb0HinD9sknn4zVq1dHd3d3NDc3x4YNG+KWW26J5cuXx/Tp02s9HhX205/+NC64\n4IL4whe+EBERv/jFL+KWW26J22+/PaZNm1bj6aiWH/3oR9Hf31/rMTgCfvjDH8bIyEh89atfjWOO\nOabW41BFP//5z2Pnzp1x4403Rn19fbz44otx4403xve///047rjjaj0e/0c7d+6MhoaGePXVVw94\nbfny5XHcccfFrbfeGhERd911V/zrv/5rXH311WN6j5RbEVatWhVdXV3R3NwcERFz5syJ9vb2eOSR\nR2o8GZU2NDQU9fX18clPfnL/2oIFC6KxsTGeffbZGk5GNa1bty6OPvroWo/BEfDkk09Gb29vLFmy\nRNSOA1u2bImzzjor6uvfypPjjz8+2traYufOnTWejEqYN29eXHLJJQesb9myJZ5//vlYuHDh/rWF\nCxfGH/7wh9i+ffuY3iNd2Pb29sbu3bujs7OzbL2zszM2bdpUo6moluHh4fjUpz51wHpTU1MMDAzU\nYCKqbdeuXfHb3/42PvvZz9Z6FI6Axx57LM4444z44Q9/GEuXLo1rrrkmVq9eXeuxqJJZs2bFypUr\nY9euXRERsWHDhjjqqKPi9NNPr/FkVNOWLVvi4x//eNlv1T/+8Y/HMcccM+Z2S7cVoa+vLyLigF9B\nT506df9r5DFp0qT4q7/6q7K1np6e2L17d3ziE5+o0VRUS6lUip/85Cdx1VVXRV1dXa3HocqGhobi\nxRdfjIiIb3/723HsscdGX19f3HDDDdHU1BQXXXRRbQek4i677LIYHh6Oq6++OmbPnh0DAwNxww03\nRGNjulzhHfr6+g66dXDq1KnxyiuvjOla6Z7Yvu3tX2O8U6lUqsEkHEkjIyNx9913x7x58+Kkk06q\n9ThU2IMPPhjnnntufOxjH4vR0dFaj0OVvfHGGxERcc4558Sxxx4bERHTp0+Piy66KJ544olajkaV\nPP/889HT0xN33HFHfPGLX4wZM2bEtddeG9u2bav1aFTZoT4MOtb/1qcL27cfY7/7QyX9/f1ln74j\nn5GRkbjtttti0qRJ8Y1vfKPW41AFf/rTn+J//ud/4qabboo777wzIiL+/d//PdatW1fjyaiGKVOm\nRF1d3f6ofVtra+uYn+Lw4ffGG2/E8uXL48tf/nLMmDEjTjjhhLjmmmvi7LPPjv/4j/+o9XhU0fTp\n0w/6YeD+/v4x761P92y/tbU12traYvPmzdHR0bF/fePGjXHaaafVcDKq6c0334zly5fH8ccfH1/8\n4hejVCrF448/7leVyVx//fX7/37Pnj3x9a9/Pa688kpP55NqaGiIv/zLv4yXX365bP2ll146IHb5\n6NuzZ0+USqUDfiV90kknxQsvvFCjqTgSTj311Fi1alW89tprMWXKlIh46xsUXnnllTG3W7onthFv\nfZLuiSeeiNdffz0iItavXx+7du2KBQsW1HgyquGll16KW2+9NS666KK4/PLLo76+PrZt2xaTJ0+u\n9WhU0b59+yLCFqPsLrvssnj88cejt7c3IiJ2794da9as8d/zhGbOnBnHHHNM3H///ft//VwsFuPB\nBx+M888/v8bTUSl79+6NiLf20L9t9uzZcfLJJ8eqVasi4q3tB6tWrYrzzjsv/uIv/mJM168bTbpR\nbe3atbF27dqYOHFiNDY2xt///d9He3t7rceiwnp6euK73/1uTJs2rez/8nfs2BHXX399nHDCCTWc\njmr6l3/5l3j22Wdjzpw5ccMNN9R6HKpo7dq1sWbNmmhqaop9+/ZFV1eX0Enq1Vdfjf/+7/+O7du3\nx4QJE2Lfvn1x4YUXxqc//elaj0YF3HffffHHP/4xXnrppWhra4u5c+fG5ZdfHhFv/eb1nnvuiZ07\nd0ZdXV3MmjUr/u7v/m7MHxxMG7YAAIwvKbciAAAw/ghbAABSELYAAKQgbAEASEHYAgCQgrAFACAF\nYQsAQArCFgCAFIQtAAApCFsAAFIQtgAApCBsAQBI4f8BNZbMo3XeG9oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124d3b550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation as animation\n",
    "\n",
    "\n",
    "def data_gen(t=0):\n",
    "    cnt = 0\n",
    "    while cnt < 1000:\n",
    "        cnt += 1\n",
    "        t += 0.1\n",
    "        yield t, np.sin(2*np.pi*t) * np.exp(-t/10.)\n",
    "\n",
    "\n",
    "def init():\n",
    "    ax.set_ylim(-1.1, 1.1)\n",
    "    ax.set_xlim(0, 10)\n",
    "    del xdata[:]\n",
    "    del ydata[:]\n",
    "    line.set_data(xdata, ydata)\n",
    "    return line,\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "line, = ax.plot([], [], lw=2)\n",
    "ax.grid()\n",
    "xdata, ydata = [], []\n",
    "\n",
    "\n",
    "def run(data):\n",
    "    # update the data\n",
    "    t, y = data\n",
    "    xdata.append(t)\n",
    "    ydata.append(y)\n",
    "    xmin, xmax = ax.get_xlim()\n",
    "\n",
    "    if t >= xmax:\n",
    "        ax.set_xlim(xmin, 2*xmax)\n",
    "        ax.figure.canvas.draw()\n",
    "    line.set_data(xdata, ydata)\n",
    "\n",
    "    return line,\n",
    "\n",
    "ani = animation.FuncAnimation(fig, run, data_gen, blit=False, interval=10,\n",
    "                              repeat=False, init_func=init)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ax.grid?\n",
    "plt.axis('off')  # clear x- and y-axes\n",
    "ax.arrow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArgAAAHuCAYAAAB0/39YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1247aa8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "t = np.arange(-1, 2, .01)\n",
    "s = np.sin(2*np.pi*t)\n",
    "\n",
    "plt.plot(t, s)\n",
    "# draw a thick red hline at y=0 that spans the xrange\n",
    "l = plt.axhline(linewidth=4, color='r')\n",
    "\n",
    "# draw a default hline at y=1 that spans the xrange\n",
    "l = plt.axhline(y=1)\n",
    "\n",
    "# draw a default vline at x=1 that spans the yrange\n",
    "l = plt.axvline(x=1)\n",
    "\n",
    "# draw a thick blue vline at x=0 that spans the upper quadrant of\n",
    "# the yrange\n",
    "l = plt.axvline(x=0, ymin=0.75, linewidth=4, color='b')\n",
    "\n",
    "# draw a default hline at y=.5 that spans the middle half of\n",
    "# the axes\n",
    "l = plt.axhline(y=.5, xmin=0.25, xmax=0.75)\n",
    "\n",
    "p = plt.axhspan(0.25, 0.75, facecolor='0.5', alpha=0.5)\n",
    "\n",
    "p = plt.axvspan(1.25, 1.55, facecolor='g', alpha=0.5)\n",
    "\n",
    "plt.axis([-1, 2, -1, 2])\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fig = plt.figure()\n",
    "plt.axis([0, 10, 0, 10])\n",
    "t = \"This is a really long string that I'd rather have wrapped so that it\"\\\n",
    "    \" doesn't go outside of the figure, but if it's long enough it will go\"\\\n",
    "    \" off the top or bottom!\"\n",
    "plt.text(4, 1, t, ha='left', rotation=15, wrap=True)\n",
    "plt.text(6, 5, t, ha='left', rotation=15, wrap=True)\n",
    "plt.text(5, 5, t, ha='right', rotation=-15, wrap=True)\n",
    "plt.text(5, 10, t, fontsize=18, style='oblique', ha='center',\n",
    "        va='top', wrap=True)\n",
    "plt.text(3, 4, t, family='serif', style='italic', ha='right', wrap=True)\n",
    "plt.text(-1, 0, t, ha='left', rotation=-15, wrap=True)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}