From 6280ff728a970b9f80d4cf1bcd9c63d783cd6697 Mon Sep 17 00:00:00 2001
From: Roopkishor singh <roopkishor.singh@rediffmail.com>
Date: Sun, 20 Aug 2017 10:56:06 +0530
Subject: [PATCH] Add files via upload

---
 glass/glass_classification.ipynb | 1462 ++++++++++++++++--------------
 1 file changed, 786 insertions(+), 676 deletions(-)

diff --git a/glass/glass_classification.ipynb b/glass/glass_classification.ipynb
index 1f18afb..2d7889e 100644
--- a/glass/glass_classification.ipynb
+++ b/glass/glass_classification.ipynb
@@ -1,5 +1,59 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/rk/anaconda/envs/py27/lib/python2.7/site-packages/matplotlib/__init__.py:913: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n",
+      "  warnings.warn(self.msg_depr % (key, alt_key))\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd \n",
+    "from pandas import DataFrame, Series\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from scipy import stats\n",
+    "\n",
+    "%matplotlib inline\n",
+    "from collections import defaultdict\n",
+    "import json\n",
+    "\n",
+    "import scipy as sp\n",
+    "\n",
+    "from matplotlib import rcParams\n",
+    "import matplotlib.cm as cm\n",
+    "import matplotlib as mpl\n",
+    "\n",
+    "#colorbrewer2 Dark2 qualitative color table\n",
+    "dark2_colors = [(0.10588235294117647, 0.6196078431372549, 0.4666666666666667),\n",
+    "                (0.8509803921568627, 0.37254901960784315, 0.00784313725490196),\n",
+    "                (0.4588235294117647, 0.4392156862745098, 0.7019607843137254),\n",
+    "                (0.9058823529411765, 0.1607843137254902, 0.5411764705882353),\n",
+    "                (0.4, 0.6509803921568628, 0.11764705882352941),\n",
+    "                (0.9019607843137255, 0.6705882352941176, 0.00784313725490196),\n",
+    "                (0.6509803921568628, 0.4627450980392157, 0.11372549019607843)]\n",
+    "\n",
+    "rcParams['figure.figsize'] = (10, 6)\n",
+    "rcParams['figure.dpi'] = 150\n",
+    "rcParams['axes.color_cycle'] = dark2_colors\n",
+    "rcParams['lines.linewidth'] = 2\n",
+    "rcParams['axes.facecolor'] = 'white'\n",
+    "rcParams['font.size'] = 14\n",
+    "rcParams['patch.edgecolor'] = 'white'\n",
+    "rcParams['patch.facecolor'] = dark2_colors[0]\n",
+    "rcParams['font.family'] = 'StixGeneral'"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -8,8 +62,7 @@
    },
    "outputs": [],
    "source": [
-    "#classification\n",
-    "import pandas as pd\n",
+    "#multiclass classification\n",
     "train=pd.read_csv(\"glass.csv\")"
    ]
   },
@@ -24,6 +77,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -125,8 +191,7 @@
     }
    ],
    "source": [
-    "train.head()\n",
-    "\n"
+    "train.head()"
    ]
   },
   {
@@ -135,51 +200,219 @@
    "metadata": {
     "collapsed": false
    },
+   "outputs": [],
+   "source": [
+    "#Hypothesis testing - Silica and sand,Na, and Ca should be most important variable, refractive index of similar type should be near\n",
+    "#what really the value of columns Na, Mg , Al and Si, K, Ca, Ba , Fe\n",
+    "#My intuition says that for every type of glass refractive index will be quite similar so it can be converted into categorical variable\n",
+    "#The numerical values of various elements is not on same scale which can be a problem in some algorithm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "RI      float64\n",
-       "Na      float64\n",
-       "Mg      float64\n",
-       "Al      float64\n",
-       "Si      float64\n",
-       "K       float64\n",
-       "Ca      float64\n",
-       "Ba      float64\n",
-       "Fe      float64\n",
-       "Type      int64\n",
-       "dtype: object"
+       "(214, 10)"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "#Hypothesis testing - Silica and sand,Na, and Ca should be most important variable, refractive index of similar type should be near\n",
-    "#what really the value of columns Na, Mg , Al and Si, K, Ca, Ba , Fe\n",
-    "#My intuition says that for every type of glass refractive index will be quite similar so it can be converted into categorical variable\n",
-    "#The numerical values of various elements is not on same scale which can be a problem in some algorithm\n",
-    "train.dtypes\n",
-    "\n"
+    "train.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>RI</th>\n",
+       "      <th>Na</th>\n",
+       "      <th>Mg</th>\n",
+       "      <th>Al</th>\n",
+       "      <th>Si</th>\n",
+       "      <th>K</th>\n",
+       "      <th>Ca</th>\n",
+       "      <th>Ba</th>\n",
+       "      <th>Fe</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "      <td>214.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.518365</td>\n",
+       "      <td>13.407850</td>\n",
+       "      <td>2.684533</td>\n",
+       "      <td>1.444907</td>\n",
+       "      <td>72.650935</td>\n",
+       "      <td>0.497056</td>\n",
+       "      <td>8.956963</td>\n",
+       "      <td>0.175047</td>\n",
+       "      <td>0.057009</td>\n",
+       "      <td>2.780374</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.003037</td>\n",
+       "      <td>0.816604</td>\n",
+       "      <td>1.442408</td>\n",
+       "      <td>0.499270</td>\n",
+       "      <td>0.774546</td>\n",
+       "      <td>0.652192</td>\n",
+       "      <td>1.423153</td>\n",
+       "      <td>0.497219</td>\n",
+       "      <td>0.097439</td>\n",
+       "      <td>2.103739</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.511150</td>\n",
+       "      <td>10.730000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.290000</td>\n",
+       "      <td>69.810000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.430000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1.516523</td>\n",
+       "      <td>12.907500</td>\n",
+       "      <td>2.115000</td>\n",
+       "      <td>1.190000</td>\n",
+       "      <td>72.280000</td>\n",
+       "      <td>0.122500</td>\n",
+       "      <td>8.240000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1.517680</td>\n",
+       "      <td>13.300000</td>\n",
+       "      <td>3.480000</td>\n",
+       "      <td>1.360000</td>\n",
+       "      <td>72.790000</td>\n",
+       "      <td>0.555000</td>\n",
+       "      <td>8.600000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1.519157</td>\n",
+       "      <td>13.825000</td>\n",
+       "      <td>3.600000</td>\n",
+       "      <td>1.630000</td>\n",
+       "      <td>73.087500</td>\n",
+       "      <td>0.610000</td>\n",
+       "      <td>9.172500</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1.533930</td>\n",
+       "      <td>17.380000</td>\n",
+       "      <td>4.490000</td>\n",
+       "      <td>3.500000</td>\n",
+       "      <td>75.410000</td>\n",
+       "      <td>6.210000</td>\n",
+       "      <td>16.190000</td>\n",
+       "      <td>3.150000</td>\n",
+       "      <td>0.510000</td>\n",
+       "      <td>7.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               RI          Na          Mg          Al          Si           K  \\\n",
+       "count  214.000000  214.000000  214.000000  214.000000  214.000000  214.000000   \n",
+       "mean     1.518365   13.407850    2.684533    1.444907   72.650935    0.497056   \n",
+       "std      0.003037    0.816604    1.442408    0.499270    0.774546    0.652192   \n",
+       "min      1.511150   10.730000    0.000000    0.290000   69.810000    0.000000   \n",
+       "25%      1.516523   12.907500    2.115000    1.190000   72.280000    0.122500   \n",
+       "50%      1.517680   13.300000    3.480000    1.360000   72.790000    0.555000   \n",
+       "75%      1.519157   13.825000    3.600000    1.630000   73.087500    0.610000   \n",
+       "max      1.533930   17.380000    4.490000    3.500000   75.410000    6.210000   \n",
+       "\n",
+       "               Ca          Ba          Fe        Type  \n",
+       "count  214.000000  214.000000  214.000000  214.000000  \n",
+       "mean     8.956963    0.175047    0.057009    2.780374  \n",
+       "std      1.423153    0.497219    0.097439    2.103739  \n",
+       "min      5.430000    0.000000    0.000000    1.000000  \n",
+       "25%      8.240000    0.000000    0.000000    1.000000  \n",
+       "50%      8.600000    0.000000    0.000000    2.000000  \n",
+       "75%      9.172500    0.000000    0.100000    3.000000  \n",
+       "max     16.190000    3.150000    0.510000    7.000000  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "import numpy as np"
+    "train.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -187,22 +420,31 @@
     {
      "data": {
       "text/plain": [
-       "(175, 10)"
+       "RI      False\n",
+       "Na      False\n",
+       "Mg      False\n",
+       "Al      False\n",
+       "Si      False\n",
+       "K       False\n",
+       "Ca      False\n",
+       "Ba      False\n",
+       "Fe      False\n",
+       "Type    False\n",
+       "dtype: bool"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "train.describe()\n",
-    "train.shape"
+    "train.isnull().any()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -211,6 +453,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -262,72 +517,32 @@
        "7         29"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "#univariate analysis\n",
     "pd.crosstab(index=train['Type'],columns=\"count\")\n",
     "#classes 2 and 1 are dominating\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\python35.zip',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\DLLs',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib\\\\site-packages',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib\\\\site-packages\\\\Sphinx-1.4.6-py3.5.egg',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib\\\\site-packages\\\\win32',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib\\\\site-packages\\\\win32\\\\lib',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib\\\\site-packages\\\\Pythonwin',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib\\\\site-packages\\\\setuptools-27.2.0-py3.5.egg',\n",
-       " 'C:\\\\Users\\\\hpp\\\\Anaconda3\\\\lib\\\\site-packages\\\\IPython\\\\extensions',\n",
-       " 'C:\\\\Users\\\\hpp\\\\.ipython']"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# In univariate analysis going one by one from in each variable and looking at the frequency distribution and\n",
-    "# All independent variable is continuous variable.\n",
-    "import matplotlib.pyplot as plt\n",
-    "import sys\n",
-    "sys.path\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiUAAAGHCAYAAABvUSKTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABRMAAAMzCAYAAAA1Q4UlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIkwEAAAAAIb8Pyibxbp0tCA2AAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf71fc4d0>"
       ]
      },
-     "execution_count": 14,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -337,28 +552,25 @@
     "plt.xlabel(\"RI\")\n",
     "plt.ylabel(\"frq\")\n",
     "fig1=plt.gcf()\n",
-    "fig1\n",
-    "#Try different bin size\n",
-    "#the data RI is skewed and a lot of outliers are present "
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAAGHCAYAAAD2qfsmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSZJUjEFDkiQVY9CQJEnF/H++Cs9rvljA2QAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMzCAYAAADUDcddAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAgMH9f/aczckkhP+3AAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3792890>"
       ]
      },
-     "execution_count": 13,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -367,29 +579,25 @@
     "plt.title(\"Si-freq\")\n",
     "plt.xlabel(\"si\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "#again lot of outliers \n",
-    "#here outliers may belong to a particular category which can be seen afterwords\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAAGHCAYAAAD2qfsmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMzCAYAAADUDcddAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAACAzin5AAAAAKBzSj4AAAAA6Nz/A0NA+XfXkFYLAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3b708d0>"
       ]
      },
-     "execution_count": 15,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -398,27 +606,25 @@
     "plt.title(\"Na-freq\")\n",
     "plt.xlabel(\"na\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAAGHCAYAAAD2qfsmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJElqjUFDkiS1xqAhSZJaY9CQJEmt+f94J1QecKPfqgAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMzCAYAAADUDcddAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAXEQAAFxEByibzPwAAIABJREFUeJzs3XnYrfd87/HPN9mRSEKIIIbGsE01NGhpiToRlZYequ1R\nlJLg1FAaHE0VLU61VUPn0lKN6VAc1TiG1tzSiphVTKHRJqagSGRA4nv+WPdulsfzPHt4pv1b+/W6\nrnWte933777X79l/7et9/dZ9V3cHAAAAABjXfls9AQAAAABgbUQ+AAAAABicyAcAAAAAgxP5AAAA\nAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT\n+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AABsqao6oKp+tar+uaq+XFUXVdWZVfWMqrryVs8PAGAE\n1d1bPQcAAPZQVR2Y5Pgkd03yY0munuSqSb6d5KIkn0/ymSQfTfLBJOclOTnJx7v70Vsx53lVdcUk\nb01yQJK7Zzbnlyb5yWnI27v7uC2aHgDAMLZt9QQAANh9VbVfkvsn+d9JrpNZzHt+ktdmFvXOS3K1\nJMcmeViS31xyiY9v1lx34nlJfiTJvbr77CSpqnsn+UiSozKLlgAA7ITIBwAwmKo6OMnLkvzMtOuv\nkzymu89bMvRLSV6R5BVVdWKS5yY5cNMmuhNVdXSSe08f/ys6dvc3qurYJPdL8n+3YGoAAMMR+QAA\nBlJVhyR5R2ar35Lkz7v7kTs7r7tPqapzMlvpd9DGzXC33Gdu+4L5A919VpKnbe50AADG5cEbAABj\n+atcFvg+kOSkXT2xu9+c5HEbMak9dOutngAAwKIQ+QAABlFVv5jvXf32K9196W5e5i+SfHr9ZrUm\n19jqCQAALAqRDwBgAFW1f5Inz+36QHeftrvXmaLgKes2sbU5eKsnAACwKEQ+AIAx/GSSG819XssD\nKd640oGq+pGqen5VfaqqvllVF1fVv1XVX1XVDdfwnTuu/6bpmhcn2T536JM79k+vX5o7Z1tV3bmq\nnlNVr5r2XaOqXlRVX51eD13mu65TVc+uqo9W1Temv+eMqnpGVV1tF+Z63ap65nT+edP5H6yq36mq\no6rq+lX1uqo6Ya3/LgAAayXyAQCM4aeWfH7Pnl6ouz/Y3Y9eur+qnpnkvZnd8+8XkxyW5CaZ3fvv\nwUk+UFV32NPvnb77+O4+qLsPSvLvc4duvGP/9HpJVf14Vb0oyZeTvCXJw5Nco6qum+S0JPdNcvj0\netKSv+VBmf0bfSTJbZNcM8k9M1s9+GtJPrHa31JVj0zysSR3yOy+h1dLckSSRyS5c2Y/eT4jyU+v\n4Z8DAGDdiHwAAGNYGqQ+tZ4Xr6oH57KHcjy+u9/X3Zd292eT/FKSLyQ5NMkLq6rW87tX8aEkJyR5\n4ty+w5K8MslDklw5yZ8kOT/JqTsGVNUDkrwgycO7+0XdfWF3X9Ddb0lyr2nYlZO8vqp+YOmXVtVv\nJPnTJO9Kcsfufmt3Xzy93p3kZ5JcnL3nKcUAACIfAMAglj6k4mvrfP17zm0fNn+guy/KbIVfMvuJ\n7fzPbDdMd5/f3Z3kbXO7b57kWd395incndTdV+zuRyZJVV07yZ8neU93v2aZa74vsxV4SXLFJN+z\norGqjkvytMwi3oO6+zvLXONLuezfAwBgryDyAQCM4SpLPn9rna//ien9u0nOXub4fFQ8Yp2/e2cu\nntv+epJXrTL2pMxWHL5plTHzDyw5dsmxP8js/8iv6+5zVrnGascAADbdtq2eAAAAu+SCJFea+3xY\nkq+u4/Ufn+RfkpzV3R+aPzD9PPfQuV0HruP37q5vTKv7VvIL0/tvVNXJK4zZL8ml0/bVd+yc7tF3\n9PTxn3Yyj9XmAACw6UQ+AIAxnJvvjXxXyjpGvu6+NMn3/Lx1ul/dg5Mcn+/9uXAtGXdUZg+0WMl3\nuvsz6zTVFVXVNZIcNX385e4+ZTcvcZe57bPWZ1YAAJvDz3UBAMbwySWfb7JRX1RVt6+qv0vyiiQf\nTvLjSf5xlVNenOTjq7zeulFzXWI+RK4WHVcy/2968YqjAAD2QiIfAMAY/n7J59uu9xdU1bWq6nVJ\n3p7kjUmO6e7XTKv8RjD/tNurrzhqZVdeYRsAYK8n8gEAjOHUJN+e+/zT63nxqrpxkvdP1314d//l\nTu5991+6+9jurlVe113Pua7iG3PbP7wH588/zOTGa5wLAMCmEvkAAAbQ3Z9L8ty5XT9cVT+6Htee\nHqzxysxWv52bZHfvZbe3OCvJJdP2XarqyJ2dUFU/VFW/Pn2cf2LuT6z35AAANpLIBwAwjt9O8u9z\nn59dVfvvyYWmlXs7/GiSH5q2v7DCCr4D9uR7NlN3X5jkPdPHA5L8/mrjq+oKSV6e5B+mXe+eO3zH\nqrrFKqdv5ROGAQC+j8gHADCI7v5qkrsl+fq065gkz9ida9TMbyV5RVXtuIfd9eaGXK+qDl5yzuWT\n3H5u1xV2a+Irmw+H21YZN/80351FzfnVjg+oqv+17AWrDkvyuiTv6+4PTbtfk+SCue98wdJ/i+nc\ngzMLowAAew2RDwBgIN39sSR3TPKpaddjq+olVbXTB0VU1fWSvCnJTya5U3fveILs5+aGXTGzuHXN\nqjqoqu44nXPB3Jh7VtUVqurue/p3VNWBSa46t+s6qwyfH3f1qlptVeHLkrxt7vOzqurvq+peVXXL\nqrpTVf1GZk8rvnqSR+0Y2N3nZ7ZacofbJPlwVT1w+lnvLarql5Oclst+FgwAsFeoXbyfMgAAe5Hp\np6ZPSvLwzFbWfT3J85K8IclHk/xnZj8pvVpmT+L92SQ/luR3k7xw/om5VbVfktOz/MMqvpHkQUku\nl9lPW+c9r7sfugdzPzzJY5M8cW73mzMLbmd293fnxt40s5/d/ve5sX+Y5Pe6+8srXP9Kma3SO2aV\nabw7yc919xeXnLtfkv+T5D4rnPe5JPdPckKSB077TuzuF67yXQAAG07kAwAY2BS0fjbJcZlFuiOS\nXCnJeZmFvi8l+ZfMVuO9s7u/vcJ1rpzZKra7ZxYGz07y2iR/0N2fn+7998Lpu76c5C+SPGs+Fu7i\nfN+V1eNbJ7lfd7+8qp6TWcRcyYe7+5YrfM9+mUW4+yc5OslhSb6W5H1JXprkb+Zj4pJzK7Ow+bAk\nN83sqcafTPLqJM/t7m9W1Qsj8gEAexGRDwAAdpPIBwDsbdyTDwAAAAAGJ/IBAAAAwOBEPgAAAAAY\nnMgHAAC7z/+jAYC9iv+cAADA7jtybvvALZsFAMBE5AMAgN1QVf8tybFzu+5cVf5fDQBsKf8ZAQCA\nXVBVv1tVn0jyjiQHzB26V5KzquphWzIxAIAk1d1bPQcAAAAAYA2s5AMAAACAwYl8AAAAADC4bVs9\ngX1JVX0xycFJzt7quQAAAACw5X4gyYXdfeRaL+SefJuoqs478MADr7B9+/atngoAAAAAW+wzn/lM\nvvWtb53f3Vdc67Ws5NtcZ2/fvv2mZ5xxxlbPAwAAAIAtdrOb3Swf+9jH1uUXn+7JBwAAAACDE/kA\nAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAA\ngxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgH\nAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAA\nGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4LZt\n9QQAYD1c+5THb8r3nHPi0zflewAAAHaHlXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgH\nAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAA\nGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+\nAAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAA\nwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABify\nAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAA\nAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDB7RORr6oOqaqP\nV9U7VhlzaFU9qao+WFUfqqozq+otVXWPTZwqAAAAAOy2fSLyJfmLJDdZ6WBVXSPJ+5P8SpITuvuW\nSX4wyTuTnFpVf7QpswQAAACAPbBtqyew0arqIUnus8rxQ5K8PsmNktytuz+cJN19SZKnVtXRSU6q\nqs92t9gHAAAAwF5noVfyVdUtkpyc2Uq+lTwmya2SnNHdb1zm+DOm96dV1ZHrPEUAAAAAWLOFjXzT\nCr2XJXlQkq+uMOagJCdNH09dbkx3n5bki0kOyeznvAAAAACwV1nYyJfZ6r2Xd/e7VhlzuyRHTNun\nrzLuvdP7vddjYgAAAACwnhbynnxV9eAkV0/ygJ0MPWZu+9OrjNtx7IZVdZXuXnZlIAAAAABshYVb\nyVdVN0/yhCT37+7eyfDtc9tfWGXc/LGb7encAAAAAGAjLNRKvuk+fH+T5CHdfe4unHL43PYFq4yb\nP3aVXZjHGSsc2r7CfgAAAADYY4u2ku+5SV7d3W/fxfGHzG1/e5VxF69wDgAAAABsuYVZyTfdh++o\nJCfuxmkXzW0fkJVD3wFz2xfu7KLdvexPeqcVfjfd5dkBAAAAwC5YiMg33YfvN5Pcvrsv3Y1T53/S\ne3BWjnwHz21/ZTenBwAAAAAbaiEiX5LHJDksyduqarnjR0zvt62qT0zbpyeZv3fekUm+vsL1j5zb\n/vga5gkAAAAA625RIt/+Sa40vVZz+SQ3nra/mOQv545dP8knvu+My44lyZnd/eU9nSQAAAAAbISF\nePBGd5/Q3bXSK8lTp6H/OLf/2CSnJfnSdOw2q3zFbaf3UzfmLwAAAACAPbcQkW9PTffve9708R7L\njamqW2b2QI9Lkzxnk6YGAAAAALtsn458k2cm+WySW1fVnZY5fvL0/uzuPmvTZgUAAAAAu2ifj3zd\nfX5mq/jOSfKSqjo6Sapqv6o6Ocl9k7wiyZO2bpYAAAAAsLJFefDGmnT3v1bVrZI8KrPQd0mSyyU5\nN8m9u/uVWzpBAAAAAFjFPhH5uvspSZ6ykzFfSfLk6QUAAAAAw9jnf64LAAAAAKMT+QAAAABgcCIf\nAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAA\nYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5\nAAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAA\nAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAAGJzI\nBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAA\nABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBE\nPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAA\nAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn\n8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAA\nAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4\nkQ8AAAAABifyAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAA\nAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDB\niXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMA\nAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAM\nTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8A\nAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABg\ncNu2egIAbL5rn/L4Tfmec058+qZ8DwAAwL7OSj4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAM\nbuEiX1UdWFUnV9WHqurC6fX+qnp4Va3491bVoVX1pKr64HTumVX1lqq6x2bOHwAAAAB210JFvqq6\nfJJ3JPn9JEcl+XqSg5LcOslzkrx4hfOukeT9SX4lyQndfcskP5jknUlOrao/2vDJAwAAAMAeWqjI\nl+SUJBcluXV3H97d10xyrSSnTsfvV1V3nD+hqg5J8vokN0ryoO7+cJJ09yXd/dQkr0lyUlU9erP+\nCAAAAADYHQsT+arq1kkOSHJ8d39wx/7u/kKS+yU5f9r1Y0tOfUySWyU5o7vfuMylnzG9P62qjlzf\nWQMAAADA2i1M5Ety4yQndvclSw909wVJPjl9/NqO/VV1UJKTpo+nLj1vOve0JF9MckhmP+cFAAAA\ngL3KwkS+7n55d5+3ypCrZvZT3tfO7btdkiOm7dNXOfe90/u993yGAAAAALAxFibyraaqjk1y7cwe\nqvGluUPHzG1/epVL7Dh2w6q6yjpPDwAAAADWZOEjX1XdPLOn6t69u1+55PD2ue0vrHKZ+WM3W6+5\nAQAAAMB6WNjIV1Xbq+rZSd6f5AeSvLSqHrZk2OFz2xescrn5Y1byAQAAALBX2bbVE9gIVXVckhMy\nuw/fN6b3w5M8t6qO7O6nTEMPmTvt26tc8uK57UNWHHXZ95+xwqHtK+wHAAAAgD22kCv5uvtt3f2A\n7r5rkmtlFvx2rMZ7QlVdc9q+aO60A1a55PyxC9dtogAAAACwDhZyJd+87v5OkhdV1blJ3pBZsLtL\nkhclOXdu6MFZeTXfwXPbX9mF71z2vn3TCr+b7sK0AQAAAGCXLeRKvuV09xuTfGz6eK3p/VNzQ45c\n5fT5Yx9fz3kBAAAAwFrtM5FvsiPQnTe9v2vu2PVXOW/HsTO7+8vrPisAAAAAWIN9LfLtuLfee6b3\n05J8adq+zSrn3XZ6P3UjJgUAAAAAa7HPRL6qOjDJ7ZOc3t3vTZLuvjTJ86Yh91jhvFsmOSrJpUme\nswlTBQAAAIDdsjCRr6puV1VPraqVVuT9VpJK8qAl+5+Z5LNJbl1Vd1rmvJOn92d391nrMlkAAAAA\nWEcLE/mS/E5mIe/0qnp1VR1TVVesqhtU1Z8lOT7JHbr7jPmTuvv8zFbxnZPkJVV1dJJU1X5VdXKS\n+yZ5RZInbeYfAwAAAAC7attWT2AdPSHJ05McnVm0u2Nm4e5dSU7t7keudGJ3/2tV3SrJozILfZck\nuVySc5Pcu7tfudGTBwAAAIA9tTCRr7tPS3LsGs7/SpInTy8AAAAAGMYi/VwXAAAAAPZJIh8AAAAA\nDE7kAwAAAIDBiXwAAAAAMLiFefAGAGyGa5/y+E37rnNOfPqmfRcAADA2K/kAAAAAYHAiHwAAAAAM\nTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8A\nAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABg\ncCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kA\nAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAA\ngxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgH\nAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAA\nGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+\nAAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADG7bVk8AgMV17VMev9VTAAAA2CdYyQcAAAAAgxP5\nAAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAA\nAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwe3Vka+qHrzVcwAAAACAvd1eG/mq6nJJHrHV8wAAAACA\nvd22jbhoVZ2W5GprvMwRSQ5Zh+kAAAAAwELbkMiX5C+TvGAdrtPrcA0AAAAAWGgbFfk+Mb2fnuTM\nJJcsM+aKSX4iyd8l+e6SYwcl+dEk19mg+QEAAADAwtioyPfQJA/t7uevNqiqHpHk5t39fffeq6qD\nknx0g+YHAAAAAAtjoyLfDbv7hF0Y9/wkF1TV33b3W+YPdPfFVfXmDZkdAAAAACyQjXq67gG7Mqi7\nv5Pk80l+dYUhT1u3GQEAAADAgtqolXyHVtUBU8RbUVUdkOTIrPAU3e7+3EZMDgAAAAAWyUat5Ds9\nyaN3Ydyjk1wuycEbNA8AAAAAWHgbtZLvD5K8t6oOSfKs7v7m/MGqOjzJyUkel6STfHiD5gEAAAAA\nC29DIl93f6SqTk7yh0keV1XvS3LO9H3XTXLrJPsnqcwi3+9sxDwAAAAAYF+wUSv50t1/XFVfS/Jn\nSe6YWczboab3i5Kc1N2v36h5AAAAAMCi27DIlyTd/eKq+n9JHpzkuCRHZbaC7/NJ3pnkBd199kbO\nAQAAAAAW3YZEvqq6VpKfSvK27j4rybOmFwAAAACwzjZqJd+bktwkybuT3GGDvgMAAAAASLLfBl33\nmtP7mzbo+gAAAADAZKMi3yuSfDnJb+/K4Kp69QbNAwAAAAAW3kZFvpOSfCDJnXc2sKoOSHKnDZoH\nAAAAACy8jbon3zFJ/izJb1bV8Uk+usK4yye5W5LDNmgeAAAAALDwNiryPTbJXaftnT14o5L0Bs0D\nAAAAABbemn+uW1WHLrP7RZnFu115AQAAAABrsKbIV1W/kORrVfXEJYdem+SLSY5Psj3J9VZ43Siz\n+/cBAAAAAHtorT/XPTnJ/kkOmt/Z3d+qqpd191t24Rp/WlW/vsZ5AAAAAMA+a62R7yZJXprkyfM7\nq+r0JD+xG9c5bo3zAAAAAIB91lrvyff5JA/s7u8u2V/dfd5uXOdVa5wHAAAAAOyz1hr5/i3Jgcvs\n3+Wn5VbVQZndnw8AAAAA2ANr/bnu65N8oKrekGR+5d41q+q3duH8QzL7qe4ha5wHAAAAAOyz1hr5\n/jyzSPfYfP/qvSd///Bl1TLnAgAAAAC7aE0/153uxfdzSR6Y5B+T/GeSSzMLd7v6AgAAAADWYK33\n5EvPvKS7j+vuq3b35ZK8v7v329kryaFJfj5W8gEAAADAHltz5FuL7r6wu1+T5KytnAcAAAAAjGyj\nIt9v7+b4J2zILAAAAABgH7Ahka+7X7ub41+1EfMAAAAAgH3Blv5cFwAAAABYO5EPAAAAAAYn8gEA\nAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAG\nJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADC4hYt8\nVXVEVf1eVZ1RVRdW1QVV9aGqemJVHbrKeQdU1a9W1Xum8Z+sqn+pqgdu5vwBAAAAYHdt2+oJrKeq\nummSNyW51pJDR0+v+1XVcd39xSXnHTqdd4sk9+zut1ZVJXlIkr+uqrsnuU93X7LhfwQAAAAA7KaF\nWclXVQclOTXJ2UnunuR6SW6Q5AFJzpyG/WCSFy85b/8kr0pyuyQnd/dbk6Rnnp/kj5P8fJJnbcKf\nAQAAAAC7bWEiX5KHJvmPJD/e3a/r7s9292e6+yVJbpPLQt9dquomc+fdN8lPJflakhcsc91nJflu\nkkdV1dEbN30AAAAA2DOLFPnum+R/LveT2u7+RpLfm9t1i7ntX5/e39jd317m3M8neW9m/1aPW7/p\nAgAAAMD6WIjIV1Xbkvxtd//bKsNOn9u+YDrvekluvszxlc69Z1UduMcTBQAAAIANsBCRr7sv6e5n\n7GTY/nPbH5vej5nb9+lVzt1x7NBcFgUBAAAAYK+wEJFvF113ev+n7v7stL197vgXVjl3/tjN1nFO\nAAAAALBm+1Lku+v0/rtz+w6f275glXPnj11l3WYEAAAAAOtg21ZPYDNU1aFJ7pPkxd39D3OHDpnb\n/r6Hbsy5eIVzVvq+M1Y4tH2F/QAAAACwx/aVlXxPTvIfSR61ZP9Fc9sHrHL+/LEL12tSAAAAALAe\nFn4lX1UVhXHzAAAek0lEQVQdn+QXkty+u89bcvjcue2DV7nM/LGv7Ow7u3vZ+/ZNK/xuurPzAQAA\nAGB3LPRKvqq6RZI/TnJ8d39umSGfmts+cpVLzR/7+HrMDQAAAADWy8JGvqq6cZKXJfkf3f3JFYb9\n89z29Ve53I5j30zykXWYHgAAAACsm4WMfFV1wySvTvJL3b3SQzDS3eckef/08TarXPK20/vfd/e3\n1meWAAAAALA+Fi7yVdX2JK9JckJ3f2iFMYdW1TOnj8+Z3u9WVfsvM/aqSW4/ffyT9Z4vAAAAAKzV\nQkW+qrpukjcl+f0kX6+qGyx53bCq7pzkH5K8czrtRUnek+RqSR6wzGUfk9kDSl7Z3e9c5jgAAAAA\nbKmFebpuVR2V5O1JrpvkxTsZfnaS1ydJd19aVfdK8oYkf1RVn+3ut0/XvH+SX5uu+8sbNHUAAAAA\nWJOFiHxVdYUkb8ss8O2K53X3pTs+dPfZVXW7JA9N8uyqqsz+bc5P8ogkp3T3Jes7awAAAABYHwsR\n+br7/CQ3WOM1vpnk2dMLAAAAAIaxUPfkAwAAAIB9kcgHAAAAAIMT+QAAAABgcCIfAAAAAAxuIR68\nAQCL6NqnPH5TvuecE5++Kd8DAABsHCv5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAA\nAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4\nkQ8AAAAABifyAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAA\nAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDB\niXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMA\nAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAM\nTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8A\nAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABg\ncCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kA\nAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+AAAAABicyAcAAAAA\ngxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAAwOBEPgAAAAAYnMgH\nAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABifyAQAAAMDgRD4AAAAA\nGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAAAAYn8gEAAADA4EQ+\nAAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADE7kAwAAAIDBiXwAAAAAMDiRDwAAAAAGJ/IBAAAA\nwOBEPgAAAAAYnMgHAAAAAIMT+QAAAABgcCIfAAAAAAxO5AMAAACAwYl8AAAAADA4kQ8AAAAABify\nAQAAAMDgRD4AAAAAGJzIBwAAAACDE/kAAAAAYHAiHwAAAAAMTuQDAAAAgMGJfAAAAAAwOJEPAAAA\nAAYn8gEAAADA4EQ+AAAAABicyAcAAAAAgxP5AAAAAGBwIh8AAAAADG7hI19V/f/27j3KsrOsE/Dv\nTToEQkAhJBAJY0xYDItbQIYIAYbBhQRBSCQwgrCIUQRULmEGJFFQQFxmJDhBRRluDYrOGmAQEElA\nIzOGxBUQiIHIRRhuzcUIMkhCSEh454+za+qk6aqurupzTu9Tz7NWr733+b6zz9tV9VXV+dXe33dQ\nVd1z0XUAAAAAwKwsbchXVTuq6vQkH0ty3gb6H1JVz6yqS6vqsqr6RFVdMpwDAAAAAA5YOxZdwP5W\nVYckOT3J2UmOGx7+8l6ec3iS9yS5e5JTu/vCqqokT07yuqp6ZJLHdff1s6scAAAAADZnGa/ke0SS\nv0tyYpKv7K1zVR2c5M1J7pfkl7v7wiTpiVcneXmS05KcO7OKAQAAAGALli7k6+63dfdl3f21JJ/c\nwFMen+RhSb6e5LV7aD83yXeTPKOqTth/lQIAAADA/rF0Id9uegN9njdsz+/u677nBN1fSvKBTD5W\nz9mPtQEAAADAfrHsId+6quqHktxtOHz/Ol1X2k6tqkNnWxUAAAAA7JttHfIluf/U/qfW6bfSdnhW\nQ0EAAAAAOCBs95Dv+Kn99VbgnW6764xqAQAAAIBN2bHoAhbs1lP7V6/Tb7rtiL2dtKquWKPp+DUe\nBwAAAIBN2+4h382n9r9n0Y0p317jOQDABh2z86y5vdauM86Z22sBAMCBYLuHfNdM7R+yTr/ptm/t\n7aTdvcdbeocr/O6ysdIAAAAAYGO2+5x8V07tH7ZOv+m2r86oFgAAAADYlO0e8n1yav926/SbbvvY\njGoBAAAAgE3Z7iHfxVP7x63Tb6XtqiSXz64cAAAAANh32zrk6+5dST44HN5nna4nDtsLuvva2VYF\nAAAAAPtmW4d8gz8Ytg+vqoN3b6yqI5OcNBz+7tyqAgAAAIANWvaQ71bDdr2Vc9+Q5NIkRyV50h7a\nn53JKsRv6u6L9m95AAAAALB1SxvyVdWDk9x1ODyhqu6+p37dfUOSxyb5aJLzhuetnOOJSZ6b5L1J\nnjLbigEAAABgc3YsuoD9rarOTPKsJMdOPXzzJJdX1WeTnNvdr5h+Tnd/oarul+SpSV5WVZXJx+ab\nSX4xyc7uvn4O5QMAAADAPlu6kK+7z0ty3iaed1WSlw3/AAAAAGA0lvZ2XQAAAADYLoR8AAAAADBy\nQj4AAAAAGLmlm5MPAOCYnWfN5XV2nXHOXF4HAAD2xpV8AAAAADByQj4AAAAAGDkhHwAAAACMnJAP\nAAAAAEZOyAcAAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByQj4AAAAAGDkhHwAA\nAACMnJAPAAAAAEZOyAcAAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByQj4AAAAA\nGDkhHwAAAACMnJAPAAAAAEZOyAcAAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADBy\nQj4AAAAAGDkhHwAAAACMnJAPAAAAAEZOyAcAAAAAI7dj0QUAAIt1zM6zFl0CAACwRa7kAwAAAICR\nE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByQj4AAAAAGDkhHwAAAACMnJAPAAAAAEZOyAcAAAAAIyfk\nAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByQj4AAAAAGDkhHwAAAACMnJAPAAAAAEZOyAcA\nAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByQj4AAAAAGDkhHwAAAACMnJAPAAAA\nAEZOyAcAAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByOxZdAADAWB2z86y5vdau\nM86Z22sBADA+ruQDAAAAgJET8gEAAADAyAn5AAAAAGDkhHwAAAAAMHJCPgAAAAAYOSEfAAAAAIyc\nkA8AAAAARk7IBwAAAAAjJ+QDAAAAgJET8gEAAADAyAn5AAAAAGDkhHwAAAAAMHJCPgAAAAAYOSEf\nAAAAAIzcjkUXAMCqY3aetegSAJbOvL637jrjnLm8DgDAnriSDwAAAABGTsgHAAAAACMn5AMAAACA\nkRPyAQAAAMDICfkAAAAAYOSEfAAAAAAwckI+AAAAABg5IR8AAAAAjJyQDwAAAABGTsgHAAAAACMn\n5AMAAACAkRPyAQAAAMDICfkAAAAAYOSEfAAAAAAwcjsWXQAAACyDY3aeNbfX2nXGOXN7LVjhaxzg\nwOZKPgAAAAAYOSEfAAAAAIyckA8AAAAARk7IBwAAAAAjJ+QDAAAAgJET8gEAAADAyAn5AAAAAGDk\nhHwAAAAAMHJCPgAAAAAYOSEfAAAAAIyckA8AAAAARk7IBwAAAAAjJ+QDAAAAgJHbsegCYF8cs/Os\nubzOrjPOmcvrLKN5fY4SnyeAWZjn93E2z+9EAMDuXMkHAAAAACMn5AMAAACAkRPyAQAAAMDICfkA\nAAAAYOSEfAAAAAAwckI+AAAAABg5IR8AAAAAjJyQDwAAAABGTsgHAAAAACMn5AMAAACAkRPyAQAA\nAMDICfkAAAAAYOSEfAAAAAAwckI+AAAAABi5HYsugPE7ZudZiy5htHzstsbHDwCWxzL+XN91xjmL\nLoFtaBnH0rwYs1szr689n6e1uZIPAAAAAEZOyAcAAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg\n5IR8u6mq+1fVW6vq41V1eVV9oqrOraojF10bAAAAAOyJkG9KVT03yUVJPp/kHt19jySPSnJKkg9X\n1V0XWR8AAAAA7ImQb1BVT0jy20ne391ndvd1SdLdn0jy2CRHJ3lnVd1qgWUCAAAAwPcQ8iWpqlsk\n+b3h8Nzd27v7siR/meTYJM+fX2UAAAAAsHdCvomnJLlVkuuTvGuNPm8btr9QVYfPpSoAAAAA2AAh\n38Sjhu1Hu/tba/R5/7C92VR/AAAAAFi4bR/yVdUhSe4zHH5qna7TbfebXUUAAAAAsG+2fciX5Acy\nuTovSb68Vqfu/tckK1f5WWUXAAAAgANGdfeia1ioqrpXkg8Nh+d099nr9L0yyZFJLu/uE9bpd8Ua\nTXc+9NBDDzr++OM3Xe+B6JP/958WXcJ+d6fvv+1cXmcZP3YAzIafTSzCvL7ukuX82pvnx28e5vk5\nWraP3Twt41iaF193WzOvr71l+zx9+tOfzrXXXvvN7r7lVs8l5Kt6QJKLhsMXd/evr9P380nukOTT\n3X3HdfqtFfLdKck1Sb6wyXKZv5VE9tMLrQIOHMYErDIeYJXxADdmTMAq42F9d0jyre6+3VZPtGM/\nFDN210ztH7KXvivtay3OkSTpbrfzLomVwNbnFCaMCVhlPMAq4wFuzJiAVcbD/JiTL7lyav+wvfRd\naf/qjGoBAAAAgH0m5Et2ZfXKvDUvjayqmyVZuT/6Y7MuCgAAAAA2atuHfD2ZlPCS4fC4dbpOt108\nu4oAAAAAYN9s+5Bv8PZhe4+quskafU4cttclOX/2JQEAAADAxgj5Jv44yVVJDk1y8hp9Thm2b+zu\nr8+lKgAAAADYgJrcrUpVPT3J7yX53939H3Zru0uSy5N8I8kJ3b1r/hUCAAAAwJ65km/VK5Kcl+RB\nVXXuym27VXVckrdkEvCdJuADAAAA4EDjSr7dVNXJSZ6R5NhM5t87NMm7k/zX7v7CAksDAAAAgD0S\n8gEAAADAyLldFwAAAABGTsgHAAAAACMn5AMAAACAkRPywQZV1WFV9cCq+sWqemFVHbromgCYvao6\nqKruueg64EBgPMCNGROwaqvjoapuX1WnVNXZVfVT+7O27ULIB+sYvkk9tqreneSzSR6d5NIkv9Hd\n1y60OJiTqjqkqp5WVe+tqo9U1RVVtauq3lRV9150fTArVbWjqk5P8rEk522g/yFV9cyqurSqLquq\nT1TVJcM5YNQ2MR5Oqqo3V9WXquq6qvpqVZ1fVY+YfbUwe/s6JtY4x49V1Q1V9TP7tTiYs62Mh6q6\nTVX9WlV9PMm7ktw+yRu6+3/MoNSlt2PRBcCBqqrunOSPktwnyR8nuWt3//Niq4L5qqqjkpyf5OZJ\nHtfdlw2P3ybJziSXVtXp3f0nCywT9quqOiTJ6UnOTnLc8PCX9/Kcw5O8J8ndk5za3RdWVSV5cpLX\nVdUjMxlD18+uctj/Njkenp3k3Nz4goIjkjwsycOq6rzufvYMyoWZ28yYWOM8Ryd5Y1x4w4htdTxU\n1c8m+Z0kByc5M8nO7v7u/q5zO/ENBfagqk5O8oFMAr5nd/eTBHxsU3+Q5IeTPHkl4EuS7v5qkp9O\n8i9JXjWEfrAsHpHk75KcmOQre+tcVQcneXOS+yX55e6+MEl64tVJXp7ktExCDxibfR0PD0nyX5L8\n/vCc22fyc+Q3k1w3dDuzqp4wk2ph9vZpTOzJ8HPjvye59X6sCxZhU+NhuGPuD5O8NslVSX6ku18r\n4Ns6IR/spqpOSvL2JIcn+bXu3tTl9zB2VXVYklOHww/v3t7d38zk9vXDkjxojqXBTHX327r7su7+\nWpJPbuApj8/kCqWvZ/LL6u7OTfLdJM+oqhP2X6Uwe5sYDy9N8rTuflZ3f6C7v9TdH+7u5yf5yal+\nz5hJwTBjmxgTe/KiTG5r/OL+qwzmbwvj4eVJnpbkX5Oc3N3/MJMCtyEhH0ypqmOS/FmSQ5Nckslf\nnWG7OjyTS+eT5E576XvNjGuBRekN9HnesD2/u6/bvbG7v5TJ1eEHJXnOfqwN5m3d8TCE2F/r7tft\n8cnd70ryN8Ph3fdzbbAIG/kZcSNV9WNJHp7ELessmw2Nh6p6SpKnD4e/3N1XzK6k7UfIBzf2W0mO\nGvbPdrkw21l3X5nJ7bhJ8mu7t1fVTZP8SJKrMwkwYNupqh9Kcrfh8P3rdF1pO9Xq7CyxI5K8YC99\nVsbC1TOuBQ44wzx8r8xkjtZvL7oemLequnWS3x4OP5Xk1QssZykJ+WAwLLTx08Phx7v7b9brD9vE\nK4btqVX1e1U1vWDTSzN5Q/dMc1ayjd1/av9T6/RbaTs8q6EgLJXu/uvu/tu9dFu5QtyVG2wrwzx8\nf5rk17t7s7f5wtg9J8n3DfuvcVHN/md1XVh1WlaD749V1XOTnJTJhLg/kOQLSf4iySu721+f2S5e\nksliAg/J5LL6E6vq7CS/kElQ8WCBONvc8VP7660mN9121yQfnE05cMA7dtj+0SKLgAV4YZL/091v\nXHQhsECPndq/tqp+P8kdkvxQJu/FP5LkDd19wSKKWwau5INVJ0/tH5vkb5Oc1t0PymRC9WsymTz9\nQ1X1g/MvD+ZvmF/skUn+5/DQiUkuzCTgu6+AD260MuJ6fwCabjtiRrXAAW24Vf3BST6TycqisC0M\n8/CdEgvOsI1V1XFJ7jj10B2TvKS7T0lyryRnZ/Iz4vyqeuUCSlwKQj5Ydeyw/U6SR3T3+1YuH+7u\nT2eyyuhHM1mA4E1VVQupEuZsmDPmSUk+MfXwnZN8sKp+eDFVwQHj5lP737PoxpTpuZduvmYvWG6P\nyeQ2rSebj4ztYpiH71VJHt/d31p0PbBAx07tv7O7n97dX0mS7r6hu/88yaOH9qdW1S/Ou8BlIOSD\nVSsLbny0u7/nlqvu/k4mS30nk6uZfnRehcEiVdW/zWSi9A8meUCSy4em45O8r6p+fFG1wQFgemXp\nQ9bpN93mTR7bTlUdnskUEC/q7r9edD0wD1Pz8L3ECqLw/99vJ8lf7qlDd1+S5OLh8KyZV7SEhHyw\n6oZhu97tVu+b2n/QDGuBA0JV3TuTW9e/mOSJ3X1xkn+XyapYneRmSd4yXH4P29GVU/uHrdNvuu2r\nM6oFDmR/mOS93f2iRRcCc/TCJF/s7tcuuhA4ANwwtb+R99x38B5j3wn5YNVXhu16t1F9fmr/tjOs\nBRauqg5K8sYkt0ryvO7uZHJVa3c/L8nPD10PS/L8xVQJCze9QuLt1uk33faxGdUCB6SqekGSm2b1\n5wZsF7+S5AFV9fE9/Uty+6Hfb009/pMLrBdm6StT+95zz4jVdWHVh5Icl2S9RTWun9q/Zs1esBzu\nm8nce1d192W7N3b3a4dbdU/LZJJc2I4untpf76/NK21XZfWWd1h6VXVmJleAP6a7b9hbf1gyB2X9\n9xYrbpfVPwZ93+zKgYW6PJOr+Q6O99wz40o+WPXOYXvrqjp2jT5HT+1/fKbVwOL9m2G73uToK6vu\nHr1OH1ha3b0rk/kqk+Q+63Q9cdhe0N3XzrYqODBU1S8leWiS/zjMbQzbSnfXev+SfG7oesbU469f\nYMkwM939jSQXDYf3XqfryvuK65N8aqZFLSEhH6x6c1bnSTp1jT53GbbXJXnHzCuCxdo1bG9TVd+/\nRp+Vv659Zg71wIHqD4btw4dJ1m+kqo5MctJw+LtzqwoWqKqemsnvU49eK9iuqh+vqkfNtzIAFugP\nh+39quqoNfqsvOd+d3dfNYealoqQDwbDkvYrK/j8p6q65R66/eywfVl3f2k+lcHCXJLko8P+L63R\n56HD9jWzLwcW4lbDdr2Vc9+Q5NJMVo170h7an53JFClv6u6L9tAOY7GR8ZCq+rkkZyb5z0mOqao7\n7vbvLlX15CQvT3L+bEuGmdrQmIBtYiPj4S1J/ibJTZL86u6NVXVEklOSXJvJnJbsIyEfTBlWvnpZ\nkjskeXtVHbPSVlVnZDL32OuSvGAxFcL8dPd3kzw6yWeTPL+qnjQsxpGqOqiqnp7kqZksznHewgqF\nGamqBye563B4QlXdfU/9hnnGHptJKH7e8LyVczwxyXOTvDfJU2ZbMczORsdDVZ2e5FWZzOn690n+\ncQ//rkjy6iRvdhsvY7XRMQHbwT78zvTdJI9P8pEkz6iq51XVTYZz3CLJ6zOZt++07jaH8SbUsFgi\nMKWqHprkF5LcK8k3MvlGsyvJf+vuv1hkbTBvww/cp2cSch+ZyW3th2cyL+VruvvPF1ge7HfDQgHP\nSnLsHpo/m+Tc7n7FHp53eCbB9xOSVCZX730zyc4kO7v7+t2fAwe6fRkPVfUTSd6ejV1I8N0kx3X3\n5/baEw4gm/0Zsca5PpvJAgRnmIuPMdrC70w3y+ROoZ9KcptM3l/sSPK+JC/t7s/v/hw2RsgHAAAA\nACPndl0AAAAAGDkhHwAAAACMnJAPAAAAAEZOyAcAAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg\n5IR8AAAAADByQj4AAAAAGDkhHwAAAACMnJAPAAAAAEZOyAcAAAAAIyfkAwAAAICR27HoAgAAWC5V\nda8kj03ykCRHJbk2yTeS3DLJ15P8Q5K/T3Jwkhd39y0WVCoAwNKo7l50DQAALIGqOjrJ7yZ5TJLP\nJHl+knd091VD+0FJHpTkRUkeuPK87q75VwsAsFyEfAAAbFlVnZDknUmOSfJXSU7p7m+t0beS/EaS\nX02EfAAA+4OQDwCALRmu4PtQktsl+cck91wr4NvteX+c5IlCPgCArRPyAQCwJVV1QZKTh8Mf7+4L\nNvi8I5J8ubtvMrPiAAC2CavrAgCwaVX177Ma8H0qybs3+tzu/lqS98yiLgCA7UbIBwDAVpwxtX9B\n7+NtIt39E9PHVXWHqvqtqvpAVV1SVV+uqr+vqudU1cH7pWIAgCUk5AMAYCt+bGr/Q1s5UVU9MMkV\nSU5N8vDuPinJHZN8MclLk7xmK+cHAFhmQj4AADalqg5Ncvuph/55i6c8J8ktklzW3f+cJN19dZLf\nHNpPHxb5AABgN0I+AAA264jdjr+9xfNdPWx3X5n3i8O2khy7xdcAAFhKOxZdAAAAo3XVbse33OL5\nTkty7yQXrzxQVZXkh6f6WIkXAGAPhHwAAGxKd/9rVX0ryWHDQ0du8XzfTPK/kqSqbpvkyUnulOST\nU91qK68BALCs3K4LAMBWvG9q/95bPVlV3baqXpnkrUn+qrtPT/InWz0vAMCyE/IBALAVb53a/9Hh\n9tpNqar7JLk8yX2TPKS7L91qcQAA24WQDwCArXh9ks8N+8cneehmTlJVN03ytiRHJTmvu6/ZL9UB\nAGwTQj4AADatu69N8nNJvjM8dF5V3Xyjz6+qx1XVfZP8aJIfGB7++m7djp7aP3iztQIALDMhHwAA\nW9LdFyb5mSTXJrlzkrdW1bor7VbVIVX14kwCwo/kxgvCPa2qDhv6HZfkhVNtd6uqg4aFOQAAGAj5\nAADYsu7+0yT3T/LhTG7Z/UhV/XxVHTHdr6oOr6rHJbkoyQ1JfqK7r07yt0m+MXR7WJIrq+rzw+O/\nkuRfhraXJvmnJPec8X8JAGBUqrsXXQMAAEukqh6a5JQkD0hyuyRXZTJv3w2ZhHV/neTPuvvK3Z73\ngExCvHtkcsvuO5K8uLu/UlU/m+R3hsd/vbv/aE7/HQCAURDyAQAAAMDIuV0XAAAAAEZOyAcAAAAA\nIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByQj4AAAAAGDkhHwAAAACMnJAPAAAAAEZO\nyAcAAAAAIyfkAwAAAICRE/IBAAAAwMgJ+QAAAABg5IR8AAAAADByQj4AAAAAGDkhHwAAAACMnJAP\nAAAAAEZOyAcAAAAAIyfkAwAAAICRE/IBAAAAwMj9P6/YOnV2PkN8AAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3a16b50>"
       ]
      },
-     "execution_count": 16,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -427,27 +633,25 @@
     "plt.title(\"Ca-freq\")\n",
     "plt.xlabel(\"Ca\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAGHCAYAAAD7t4thAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMzCAYAAADUDcddAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wE5OsqGXaDleAAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf38ba9d0>"
       ]
      },
-     "execution_count": 17,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -456,27 +660,25 @@
     "plt.title(\"Mg-freq\")\n",
     "plt.xlabel(\"Mg\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhUAAAGHCAYAAAAHoqCrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMzCAYAAADUDcddAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAGBwSj4AAAAAGNz/BwJ398eB+8s4AAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3999f10>"
       ]
      },
-     "execution_count": 18,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -485,27 +687,25 @@
     "plt.title(\"K-freq\")\n",
     "plt.xlabel(\"K\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiUAAAGHCAYAAABvUSKTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQcAAAMzCAYAAAAbBqS3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAMCghIMAAAAAMKj/B/pziG49l3joAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3c5b150>"
       ]
      },
-     "execution_count": 19,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -514,27 +714,25 @@
     "plt.title(\"Fe-freq\")\n",
     "plt.xlabel(\"Fe\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiUAAAGHCAYAAABvUSKTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQcAAAMzCAYAAAAbBqS3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf31fdbd0>"
       ]
      },
-     "execution_count": 20,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -543,27 +741,25 @@
     "plt.title(\"Ba-freq\")\n",
     "plt.xlabel(\"Ba\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAGHCAYAAAD7t4thAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAH+dJREFUeJzt3X2UXVWZ5/HvE8DEoIQl1Z24RktANJZji12lIG3zoqAI\nvRpx7FFLyvcem6Zdw8Rpte3RkZYebXVp8I1ZqEteJlpKjy+gRgIK2NKotBRq2xbBl9gFQiJXhkAT\nK0Ky549zSivVVbfurdx9zz23vp+17krqnH3PeXZ2JfXLOfvsGyklJEmSclpRdQGSJKn/GTgkSVJ2\nBg5JkpSdgUOSJGVn4JAkSdkZOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2Rk4JC1JROyNiP/ZYtvnR8Qt\nEfGriNgTEYfkrk9SbzFwSJpXRJxThopv7udxHgV8BtgFnAO8HHigAyVKqpEDqy5AUs96GbANOCYi\njkwp/XSJx3kG8AjgrSml6zpWnaRa8QqHpH8nIo4A/gB4A9AAztqPw60tf93Zwnkfvh/nkdTDDByS\n5nMWcA/wZeD/ssTAERHXAZeUX36nvEXziXLf9RHx/YgYjoh/iIgHgP81672nldv/LSLui4gvRcST\n5znHmRHxg3J+yPfLry+JiG1LqVlSHgYOSfN5GfDZlNJDwDjwhIgYWcJx/hb4aPn7twJjwEXl1wkY\nADYDE8C5wHUAEfFy4EvA/cCbgHcAQ8A3ImJw5uAR8TyKQPQQ8FfAF4CLgZHy+JJ6hHM4JO2jDBZP\nAv4CIKV0Q0T8nOIqx83tHCul9LWIeAzwX4CrUkoTc5qsBf4spfTxWec/GPgA8NGU0p/P2n4pcBvw\n18DZ5eZ3A9uBP0wp/VvZ7uvANcDP2qlVUl5e4ZA011kUP8Svn7XtM8BLIyI6fK7d/PaWy4znAmuA\nT0fEYTMviisW3waeDRAR64CjgUtmwgYUIQf4YYfrlLSfvMIh6TciYgXwEopbG0fOyhc3Af8dOBn4\n6jzvOwh41JzNv0gpLXZb4+flbZvZngBEWcNcid9OPn1c+euP52m3Ffj9Rc4tqYsMHJJmew7waOCl\nwOicfYni6se/CxwUT7RcV7aJ8tcjgKlFzverebatKN8/BuyYZ//cgCKpBgwckmab+SF/DkVwmO1F\nwAsj4uyU0u45+74HnDJn2/Yl1vCT8tx3p5SubdLuX8tfnzDPvvVLPLekTAwckgCIiFXAC4HPpJQ+\nP8/+uyiuepwB/P3sfSmle4Fm4aAdW4D7gL+OiOvn3nKJiIGUUiOltD0ivgu8MiL+LqV0f7n/ucCT\ncdKo1FMMHJJmvAB4JHDlAvu/BdxNcVvl7xdos5CWJ5umlO6PiD8HLgMmIuLT5XkHgT8CbgD+a9n8\nLRSPz/5jub7HYcDrgR9QrG4qqUf4lIqkGS+j+LyT+eZoUE4A/TJwavn5KInW17pYqN2821NK4xQT\nVO8A/hK4gGIy6y0U62zMtNsC/GeKf8veCZwJvIo2H9+VlF8sPolckuolIi4GTkwpHVl1LZIKlV/h\niIizI+J7EbGzfN0YEc+f0+YdEXFnROyKiGsi4qiq6pUkSe2rPHAAtwNvBoYpliO+FrgiIoYAIuLN\nFPdkXwccQ/Gx1lsi4mHVlCtJktrVk7dUIuKXwF+mlC6OiDuB96aUNpb7DqF4bO+VKaXLq6xTUm8q\nb6mckFJ6fNW1SCr0whWO34iIFRHxUmA1cGP5EdnrgK/NtEkp3UexvPFx1VQpqdellF5t2JB6S088\nFhsRTwG+Cayi+HTIF6aUtkbEcRSz2OeuNriDIohIkqQa6InAAdxK8SFMa4A/AS6LiBOWerDyg55O\npVj4Z7oTBUqStEysAg4HtqSUftmpg/ZE4ChXEvxp+eUtEXEMcC7wHooFg9ay71WOtRTP4y/kVOCT\nGUqVJGm5OAv4VKcO1hOBYx4rgJUppW0RsZ1iAaDvw28mjR4LfKTJ+38GsGnTJoaGhjKXWq0NGzaw\ncePGqsvoiuXSV/vZX+xnf1kO/ZycnGRsbAw6/PEAlQeOiHgn8BWKT5V8JEWiOhF4XtnkAuCtEfFj\nis6fT7H64BVNDjsNMDQ0xPDwcJ7Ce8SaNWv6vo8zlktf7Wd/sZ/9Zbn0s9TRKQmVBw7gd4FLKT4S\neyfFlYznzXxKZErpPRGxGrgIOBT4BnBaSunXFdUrSZLaVHngSCn9aQttzgPOy16MJEnKoqfW4ZAk\nSf3JwFFzo6OjVZfQNculr/azv9jP/rJc+plDTy5tvr8iYhi4+eabb15Ok3skSdpvExMTjIyMAIyk\nlCY6dVyvcEiSpOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTs\nDBySJCk7A4ckScrOwCFJkrIzcEiSpOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnK\nzsAhSZKyM3BIkqTsDBySJCk7A4ckScrOwCFJkrIzcEiSpOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk\n7AwckiQpOwOHJEnKzsAhSZKyO7DqAqReNjU1RaPRaNpmYGCAwcHBLlUkSfVk4JAWMDU1xfr1Q0xP\n72rabtWq1WzdOmnokKQmDBzSAhqNRhk2NgFDC7SaZHp6jEajYeCQpCYMHNKihoDhqouQpFpz0qgk\nScrOwCFJkrKrPHBExFsi4qaIuC8idkTE5yPiiXPaXBwRe+e8NldVsyRJak/lgQM4HvgQcCxwCnAQ\ncHVEPHxOu68Aa4F15Wu0m0VKkqSlq3zSaErp9NlfR8SrgF8AI8ANs3btTind3cXSJElSh/TCFY65\nDgUScM+c7SeVt1xujYgLI+JRFdQmSZKWoPIrHLNFRAAXADeklH44a9dXgM8C24DHA+8CNkfEcSml\n1P1KJUlSO3oqcAAXAk8GnjV7Y0rp8llf/ktE/DPwE+Ak4LqFDrZhwwbWrFmzz7bR0VFGR53+IUnS\n+Pg44+Pj+2zbuXNnlnP1TOCIiA8DpwPHp5TuatY2pbQtIhrAUTQJHBs3bmR42AWbJEmaz3z/CZ+Y\nmGBkZKTj5+qJwFGGjRcAJ6aUplpo/xjgMKBpMJEkSb2h8kmjEXEhcBbwMuCBiFhbvlaV+w+OiPdE\nxLER8biIOBn4AnAbsKW6yiVJUqsqDxzA2cAhwPXAnbNeLy737wGeClwBbAU+BvwTcEJK6cFuFytJ\nktpX+S2VlFLT0JNSmgae36VyJElSBr1whUOSJPU5A4ckScrOwCFJkrIzcEiSpOwMHJIkKTsDhyRJ\nys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScqu8o+nl6oyNTVF\no9FYcP/k5GQXq5Gk/mbg0LI0NTXF+vVDTE/vqroUSVoWDBxalhqNRhk2NgFDC7TaDLyte0VJUh8z\ncGiZGwKGF9jnLRVJ6hQnjUqSpOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk7AwckiQpOx+LlXrIYquf\nAgwMDDA4ONiliiSpMwwcUo9odfXTVatWs3XrpKFDUq0YOKQe0drqp5NMT4/RaDQMHJJqxcAh9Zxm\nq59KUj05aVSSJGVn4JAkSdkZOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2Rk4JElSdgYOSZKUnYFDkiRl\nZ+CQJEnZGTgkSVJ2Bg5JkpRd5YEjIt4SETdFxH0RsSMiPh8RT5yn3Tsi4s6I2BUR10TEUVXUK0mS\n2ld54ACOBz4EHAucAhwEXB0RD59pEBFvBl4PvA44BngA2BIRD+t+uZIkqV2Vfzx9Sun02V9HxKuA\nXwAjwA3l5nOB81NKXyrbvALYAZwJXN61YiVJ0pL0whWOuQ4FEnAPQEQcAawDvjbTIKV0H/Bt4Lgq\nCpQkSe3pqcAREQFcANyQUvphuXkdRQDZMaf5jnKfJEnqcZXfUpnjQuDJwLOqLkSSJHVOzwSOiPgw\ncDpwfErprlm7tgMBrGXfqxxrgVuaHXPDhg2sWbNmn22jo6OMjo52pGZJkupsfHyc8fHxfbbt3Lkz\ny7l6InCUYeMFwIkppanZ+1JK2yJiO3Ay8P2y/SEUT7V8pNlxN27cyPDwcJ6iJUmqufn+Ez4xMcHI\nyEjHz1V54IiIC4FR4AzggYhYW+7amVKaLn9/AfDWiPgx8DPgfOAO4IoulytJkpag8sABnE0xKfT6\nOdtfDVwGkFJ6T0SsBi6ieIrlG8BpKaVfd7FOSZK0RJUHjpRSS0/KpJTOA87LWowkScqipx6LlSRJ\n/cnAIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScrOwCFJkrIzcEiS\npOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ck\nScrOwCFJkrIzcEiSpOwMHJIkKTsDhyRJyu7AqguQ+sHk5OSibQYGBhgcHOxCNZLUewwc0n65C1jB\n2NjYoi1XrVrN1q2Thg5Jy5KBQ9ov9wJ7gU3AUJN2k0xPj9FoNAwckpYlA4fUEUPAcNVFSFLPctKo\nJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScrOwCFJkrLzsVipi5qtSNrKaqWSVFcGDqkrWl+RVJL6\nkYFD6opWViTdDLytaxVJUjcZOKSuarYiqbdUJPUvJ41KkqTs2r7CERFntNo2pXRlu8eXJEn9Zym3\nVL4AJCDmbJ+7LQEHtHLAiDgeeCMwAjwaOHN2WImIi4FXznnbVSml09srXZIkVWEpt1SeB3wXOA04\ntHydBkwAp6aUVpSvlsJG6eDymOdQBJX5fAVYC6wrX6NLqF2SJFVgKVc4LgDOTindMGvblojYBXyU\nhafgLyildBVwFUBEzL1yMmN3Sunudo8tSZKqt5QrHI+neMZvrp3A4ftVTXMnRcSOiLg1Ii6MiEdl\nPJckSeqgpQSOfwLeHxFrZzaUv38vcFOnCpvjK8ArgOcAbwJOBDY3uRoiSZJ6yFJuqbwW+BwwFRG3\nl9seC/wIOLNThc2WUrp81pf/EhH/DPwEOAm4Lsc5VV9TU1M0Go2mbVxGXJK6q+3AkVL6UUQ8FXgu\n8KRy8yTw1ZTSQhM+OyqltC0iGsBRNAkcGzZsYM2aNftsGx0dZXTU+ab9ampqivXrh5ie3lV1KZLU\n88bHxxkfH99n286dO7Ocq63AEREHUUzuPDuldDVwdZaqFq/jMcBhFB9QsaCNGzcyPLzQqo7qR41G\nowwbzZYQB5cRl6T5/xM+MTHByMhIx8/VVuBIKT1YXt3oqIg4mOJqxcycjCMj4mjgnvL1duCzwPay\n3buB24Atna5F/aLZEuLgMuKS1F1LmTS6iWIeRyc9HbgFuJliHY73Uazr8TfAHuCpwBXAVuBjFBNX\nT0gpPdjhOiRJUgZLmTR6IPCaiDiFIiA8MHtnSukN7R4wpfR1moef57d7TEmS1DtaChzlbZQfpJT2\nAk+huPoA8MQ5TbsyaVSSJNVLq1c4bqH4jJNfAI8DnpFS+mW2qiRJUl9pdQ7HvcAR5e8Pb+N9kiRJ\nLV/h+Czw9Yi4i+K2yXciYs98DVNKR3aqOEmS1B9aChwppddFxOcoHkn9IMWTIvfnLEySJPWPlp9S\nKT/RlYgYAT6QUjJwSJKklixlafNX5yhEkiT1Lyd/SpKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTs\nDBySJCk7A4ckScrOwCFJkrIzcEiSpOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnK\nzsAhSZKyM3BIkqTsDBySJCk7A4ckScrOwCFJkrIzcEiSpOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk\n7AwckiQpOwOHJEnKzsAhSZKyO7DqAiS1b3JyctE2AwMDDA4OdqEaSVqcgUOqlbuAFYyNjS3actWq\n1WzdOmnokNQTDBxSrdwL7AU2AUNN2k0yPT1Go9EwcEjqCQYOqZaGgOGqi5CkljlpVJIkZWfgkCRJ\n2fVE4IiI4yPiyoj4eUTsjYgz5mnzjoi4MyJ2RcQ1EXFUFbVKkqT29UTgAA4GvgucA6S5OyPizcDr\ngdcBxwAPAFsi4mHdLFKSJC1NT0waTSldBVwFEBExT5NzgfNTSl8q27wC2AGcCVzerTolSdLS9MoV\njgVFxBHAOuBrM9tSSvcB3waOq6ouSZLUup4PHBRhI1Fc0ZhtR7lPkiT1uJ64pZLLhg0bWLNmzT7b\nRkdHGR0dragiSZJ6x/j4OOPj4/ts27lzZ5Zz1SFwbAcCWMu+VznWArc0e+PGjRsZHnZxJEmS5jPf\nf8InJiYYGRnp+Ll6/pZKSmkbReg4eWZbRBwCHAvcWFVdkiSpdT1xhSMiDgaOoriSAXBkRBwN3JNS\nuh24AHhrRPwY+BlwPnAHcEUF5UqSpDb1ROAAng5cRzE5NAHvK7dfCrwmpfSeiFgNXAQcCnwDOC2l\n9OsqipUkSe3picCRUvo6i9zeSSmdB5zXjXokSVJn9fwcDkmSVH8GDkmSlJ2BQ5IkZWfgkCRJ2fXE\npFFJ1ZiamqLRaDRtMzAwwODgYJcqktSvDBzSMjU1NcX69UNMT+9q2m7VqtVs3Tpp6JC0Xwwc0jLV\naDTKsLEJGFqg1STT02M0Gg0Dh6T9YuCQlr0hwM8ckpSXk0YlSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZ\nOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2Rk4JElSdgYOSZKUnYFDkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSd\ngUOSJGVn4JAkSdkdWHUB6n9TU1M0Go1F2w0MDDA4ONiFiiRJ3WbgUFZTU1OsXz/E9PSuRduuWrWa\nrVsnDR2S1IcMHMqq0WiUYWMTMNSk5STT02M0Gg0DhyT1IQOHumQIGK66CElSRZw0KkmSsjNwSJKk\n7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk71+GQtKjJyclF23RqaXqXwpf6k4FDUhN3ASsY\nGxtbtGUnlqZ3KXypfxk4JDVxL7CXbi1N71L4Uv8ycEhqQbeXpncpfKnfOGlUkiRlV4vAERFvj4i9\nc14/rLouSZLUmjrdUvkBcDIQ5dcPVViLJElqQ50Cx0MppburLkKSJLWvFrdUSk+IiJ9HxE8iYlNE\nPLbqgiRJUmvqEji+BbwKOBU4GzgC+IeIOLjKoiRJUmtqcUslpbRl1pc/iIibgH8FXgxcXE1V/a+V\nFR93797NypUrF9zfygqVyqfZn38VY7PY95TfL1L/qkXgmCultDMibgOOatZuw4YNrFmzZp9to6Oj\njI6O5iyvL7S+4uMBwJ5ulKS2tL5CaLe0s4qopO4YHx9nfHx8n207d+7Mcq5aBo6IeARF2LisWbuN\nGzcyPOziQUvR2oqPm4G3tdhG3dXKCqHdHZv2vqckdcN8/wmfmJhgZGSk4+eqReCIiPcCX6S4jfIf\ngL8BHgTGm71PndBsxcfJNtqoGr04Nr1Yk6TcahE4gMcAnwIOA+4GbgCemVL6ZaVVSZKkltQicKSU\nnHQhSVKN1eWxWEmSVGMGDkmSlJ2BQ5IkZWfgkCRJ2dVi0qg0w5UqJameDByqDVeqlKT6MnCoNlyp\nUpLqy8ChGnKlSkmqGyeNSpKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScrOdThq\nZLFlvQF2797NypUr97uNS4SrH7Tyd2ZgYIDBwcEuVSQtXwaOmmh9We8DgD0daCPVW6t/Z1atWs3W\nrZOGDikzA0dNtLes9/62md1OqqfW/s5MMj09RqPRMHBImRk4aqeVZb33t83sdlLdLfa9LqkbnDQq\nSZKyM3BIkqTsDBySJCk7A4ckScrOwCFJkrIzcEiSpOx8LDajj33s45x//t8t2u7Zzz6JSy/9eBcq\n6n3NVjh19dPe18/j1+1VS+u6Smpd61Z+Bo6Mxsc/w+23HwSc2aTVLWzadImBg7uAFYyNjVVdiJak\nv8ev26uW1nWV1LrWre4wcGR3NPCuJvsvAr7apVp62b3AXlpbJVW9p7/Hr9urltZ1ldS61q3uMHCo\nx7SySqp6V7+PX7dXLa3rKql1rVs5OWlUkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGVn4JAkSdn5\nWKyk2urUyqaLte3ksXbv3s3KlSt76nyttIH+XyHUVVLzMnBIqqFOrWzayRVSWz3WAcCeHjtfazX1\n8wqhrpKan4FDUg11amXTVo7TyWPNHKeXztdqTf29QqirpOZn4JBUY51a2XSxlTE7dazJFtp0+3yt\n1rRc+OeQi5NGJUlSdgYOSZKUXa0CR0T8RURsi4hfRcS3IuIZVddUvfGqC+iiG6suoEuuqrqALlku\n37vLo5/j48ujn1q62gSOiHgJ8D7g7cDvA98DtkTEQKWFVW45/SX/ZtUFdMmWqgvokuXyvbs8+mng\n0GJqEziADcBFKaXLUkq3AmcDu4DXVFuWJElaTC0CR0QcBIwAX5vZllJKwFeB46qqS5IktaYuj8UO\nUKxMs2PO9h3A+u6X0457gIkm+6e6VYgkSZWpS+Bo1ypob3ngHB75yEcAXwCuadrusMPW8clPfrJp\nm23btpW/28y+z+jfAcy89x8XaDNbK206eaxOnu+eLp+vqj/PHfx2TLtxvqr+PGd/73bjfEtts7/H\navfv6P6eL0cbgOLfoM2bN8/7b+sdd9zB5s2bWzhW8+PMtmLFCvbu3duVNgv/G7tPK6D6ny25zerf\nqk4eN4o7E72tvKWyC3hRSunKWdsvAdaklF44p/3LWPhfbEmStLizUkqf6tTBanGFI6X0YETcDJwM\nXAkQEVF+/cF53rIFOAv4GTDdpTIlSeoHq4DD6fAjc7W4wgEQES8GLqF4OuUmiqdW/gR4Ukrp7gpL\nkyRJi6jFFQ6AlNLl5Zob7wDWAt8FTjVsSJLU+2pzhUOSJNVXLdbhkCRJ9WbgkCRJ2dU2cLT7QW4R\ncVJE3BwR0xFxW0S8slu17o92+hkRJ0bE3jmvPRHxu92suV0RcXxEXBkRPy9rPqOF99RuPNvtZ43H\n8y0RcVNE3BcROyLi8xHxxBbeV6sxXUo/6zimEXF2RHwvInaWrxsj4vmLvKdWYwnt97OOYzmfiPir\nsvb3L9Juv8e0loGj3Q9yi4jDgS9RLI1+NPAB4OMR8dxu1LtUS/zAugQ8AVhXvh6dUvpF7lr308EU\nk4DPoai/qbqOJ232s1TH8Twe+BBwLHAKcBBwdUQ8fKE31HRM2+5nqW5jejvwZmCY4iMmrgWuiIih\n+RrXdCyhzX6W6jaW+yj/A/s6ip8tzdodTifGNKVUuxfwLeADs74OiuX83rRA+3cD35+zbRzYXHVf\nOtzPE4E9wCFV174ffd4LnLFIm1qO5xL6WfvxLPsxUPb3D/t8TFvpZ7+M6S+BV/frWLbYz1qPJfAI\nYCvwHOA64P1N2nZkTGt3hWOJH+T2zHL/bFuatK/cEvsJRSj5bkTcGRFXR8Qf5K20ErUbz/3QD+N5\nKMX/BO9p0qYfxrSVfkKNxzQiVkTES4HVwDcXaFb7sWyxn1DjsQQ+AnwxpXRtC207Mqa1Cxw0/yC3\ndQu8Z90C7Q+JiJWdLa9jltLPu4A/A14E/CeKS4TXR8TTchVZkTqO51LUfjwjIoALgBtSSj9s0rTW\nY9pGP2s5phHxlIi4H9gNXAi8MKV06wLNazuWbfazlmMJUIappwFvafEtHRnT2iz8pcWllG4Dbpu1\n6VsR8XiKVVl7ftKW9tUn43kh8GTgWVUXkllL/azxmN5Kce9+DcUKz5dFxAlNfhjXVcv9rOtYRsRj\nKMLxKSmlB7t57jpe4WhQ3DdbO2f7WmD7Au/ZvkD7+1JKuztbXscspZ/zuQk4qlNF9Yg6jmen1GY8\nI+LDwOnASSmluxZpXtsxbbOf8+n5MU0pPZRS+mlK6ZaU0v+gmGR47gLNazuWbfZzPj0/lhS36n8H\nmIiIByPiQYr5KOdGxK/Lq3VzdWRMaxc4ykQ280FuwD4f5HbjAm/75uz2pefR/N5cpZbYz/k8jeLS\nXz+p3Xh2UC3Gs/wh/ALg2SmlqRbeUssxXUI/51OLMZ1jBbDQpfRajuUCmvVzPnUYy68Cv0dR69Hl\n6zvAJuDocq7gXJ0Z06pnyi5xdu2LKT6u/hXAk4CLKGYT/065/13ApbPaHw7cTzHTdj3FY4m/prik\nVHl/OtjPc4EzgMcD/5HistmDFP/zqrw/Tfp5cPlN/zSKWf7/rfz6sX02nu32s67jeSHw/ygeG107\n67VqVpt31n1Ml9jP2o1p2YfjgccBTym/Tx8CnrPA923txnKJ/azdWDbp+z5PqeT6+1l5R/fjD+gc\nio+f/xVFynr6rH0XA9fOaX8CxRWDXwE/Al5edR863U/gjWXfHgDupnjC5YSq+9BCH0+k+AG8Z87r\nE/00nu32s8bjOV8f9wCvmNWm9mO6lH7WcUyBjwM/LcdlO3A15Q/hfhnLpfSzjmPZpO/Xsm/gyDKm\nfnibJEnKrnZzOCRJUv0YOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2Rk4JElSdgYOSZKUnYFDkiRlZ+CQ\nVKmIODEi9kbEIVXXIikfA4ekroiIZ0bEQxHxxXl2u+Sx1OcMHJK65bXAB4ETImJd1cVI6i4Dh6Ts\nIuJg4CXA/wa+DLyq0oIkdZ2BQ1I3vASYTCn9CPgkxdUOScuIgUNSN7wG+D/l768CDomIEyqsR1KX\nGTgkZRUR64FjgE8DpJT2AJfjVQ5pWTmw6gIk9b3XAgcAd0XE7O27I+L11ZQkqdsMHJKyiYgDgJcD\nbwCumbP7C8AosLXbdUnqPgOHpJz+GDgU+ERK6f7ZOyLic8CfAm8EYp73SuojzuGQlNNrgGvmho3S\nZ4ER4Pdw4S+p70VK/j2XJEl5eYVDkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZOCRJ\nUnYGDkmSlJ2BQ5IkZWfgkCRJ2Rk4JElSdgYOSZKU3f8HAMjM1NfZVNcAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMzCAYAAADUDcddAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAjJ+QDAAAAgJH7/2RTPnsqHTPWAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3094410>"
       ]
      },
-     "execution_count": 22,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -572,31 +768,24 @@
     "plt.title(\"Al-freq\")\n",
     "plt.xlabel(\"Al\")\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "#The data is skewed and Fe, Ba , Ca and K are most skewed\n",
-    "#outliers K and Ba has most outliers\n",
-    "#various ways are there to tackle outliers one of them is tukey's HSD.\n",
-    "#as not all variables are on same scale, boxplot may give some intuition\n",
-    "\n",
-    "# multivariate analysis\n",
-    "\n",
-    "feat=train.columns[:-1].tolist()\n"
+    "feat=train.columns[:-1].tolist()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -605,6 +794,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -757,7 +959,7 @@
        "Fe -0.058692  1.000000  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -773,42 +975,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 214 entries, 0 to 213\n",
-      "Data columns (total 10 columns):\n",
-      "RI      214 non-null float64\n",
-      "Na      214 non-null float64\n",
-      "Mg      214 non-null float64\n",
-      "Al      214 non-null float64\n",
-      "Si      214 non-null float64\n",
-      "K       214 non-null float64\n",
-      "Ca      214 non-null float64\n",
-      "Ba      214 non-null float64\n",
-      "Fe      214 non-null float64\n",
-      "Type    214 non-null int64\n",
-      "dtypes: float64(9), int64(1)\n",
-      "memory usage: 16.8 KB\n"
-     ]
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7febf2ffb250>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABIoAAALwCAYAAAD4eJ5oAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAXEQAAFxEByibzPwAAIABJREFUeJzs3XmUbVdVL/7vDAlpaEIIEHpilMYEQh6GTjqV0AUEBEMj\njSKIP6QXgvAAEUGlCc0jAj4EwUcjRkAivNAj0on0AkFC+wgIBkJCAiSkq/n745wylcutW3Vqn6pT\n95zPZ4wzzj57rb32rDt0CNM516ruDgAAAADsMesAAAAAANgeJIoAAAAASCJRBAAAAMCYRBEAAAAA\nSSSKAAAAABiTKAIAAAAgiUQRAAAAAGMSRQAAAAAkkSgCAAAAYEyiCAAAAIAkEkUAAAAAjEkUAQAA\nAJBEoggAAACAMYkiAAAAAJJIFAEAAAAwJlEEAAAAQBKJIgAAAADG9px1AJvpgtO/3rOOYZE868in\nzzqEhXPAUs06hIXznpwx6xAWzqnn+Tffarfc91qzDmHhHP/au886hIVz0jHvmHUIC+fnLv2TWYew\ncE6qy846hIX01G++fiH+Q/p2+e/be13pkIX4995KKooAAAAASCJRBAAAAMDYXLeeAQAAAJtg6aJZ\nR8AmUVEEAAAAQBKJIgAAAADGtJ4BAAAAk+mlWUfAJlFRBAAAAEASFUUAAADApJZUFM0rFUUAAAAA\nJJEoAgAAAGBM6xkAAAAwkbaZ9dxSUQQAAABAEokiAAAAAMa0ngEAAACTcerZ3FJRBAAAAEASFUUA\nAADApGxmPbdUFAEAAACQRKIIAAAAgDGtZwAAAMBkli6adQRsEhVFAAAAACSRKAIAAABgTOsZAAAA\nMBmnns0tFUUAAAAAJFFRBAAAAExqSUXRvFJRBAAAAEASiSIAAAAAxgYliqrqadMIoqqeOo11AAAA\ngM3XvbQtPkzf0Iqi355KFMlDprQOAAAAABs0dDPrQ6rqet395Y0uUFVHJDl4YBwAAADAVrGZ9dwa\nmiiqJJ+rqs8n+dEGnt8/yQ3H6wAAAAAwQ0MTRUmyV5KbDHi+kvQU4gAAAADYkKq6VZInJDk0yflJ\n9k7ytiTP7e7vb2C9KyU5Nsmdk1yU5ApJ/l+SV3b3G6YU9tRN49SzGvgBAAAAdie9tD0+U1JVxyb5\nUJJTkxze3YcnuXuSeyT5TFUdNuF6N0/yxSTXS3Lr7r5Jkl9M8sEkr6+qE6tqn6n9AVM0jYqilyc5\nKcmPN/Ds/kmOSfJbG315VZ282tj53//aRpcFAAAAFkBVPSDJ85L8W3c/bvl+d59SVcck+VSSt1fV\nTbr7zHWsd60k/zejDqwHd/ePxuudl+RPqurQjHIhf53kQVP/gwYamij6QXc/csgCVfV/k9x1YBwA\nAAAAE6mqyyU5fvzzuB3Hu/uzVfWeJHdK8rSMWtPW8qwkByb5++Uk0Q5ekFGi6IFV9erufv+Ggt8k\nQxNF/zk0gO6+qKo23ALX3auWf11w+tftfQQAAADTtnTRrCOYlocnOSDJhRl1S+3MWzNKFD2iqp7R\n3at2VFXV3hklgZLkM6tM+0SSH2a0Z9FjkmyrRNHQPYpuO5Uokh9MaR0AAACA9br7+PsL3X3OKnM+\nPv7ed8X81VwvyX7j653mOrp7Kckp45+3r6pLrTPWLTEoUdTdZw8NYLwh1HWGrgMAAABskVlvYj2F\nzayraq8kNx3//Ooupq4cu+Uay15+xfWldzHvO+PvyyY5ZI01t9Q0NrPesKq6QUYbPDn9DAAAAJjI\nrg642tVWNWNXz6hKKEm+u4t1zq6qczKqFFprze+vuP65XcxbWb10YJKvrLHulhnaepYkqar/UVWv\nrarPVdXnq+oVVbWrf5BU1b2S/FuSa08jBgAAAIAJXHHF9U/WmLs8fuAa876Si5NOR+1i3oUrrs9b\nY80tNbiiqKrukORtGR37tuzQJPeqqtt093/sML+S/FmSP1pxe9tkzgAAAIA1LA1r+5qWdVQN7cpl\nVlyfv8bcn+7kmZ3F01X1/CQvTHJEVd2lu9+xk6krt+D5rzUj3UKDKoqqap8kr8qo7652+FwxySt2\nmH+FJO/IKEm0PO+EJEcOiQMAAABgQueuuN5r1VmXHF9tw+uVXpzktePr11bVXZcHqurQqnpFLt4b\n6ewk31vHmltmaOvZvZNcM6Nj3f4kydFJ7pnkeRmVZf1yVR2eJOPvTyW5Q0YJovOSPLK777ero+UA\nAAAANsHKBM1+q8665Pjpay3aIw/OKGfykSQvqqrPVNU7k/xukpfl4gqld3X3RZOFvbmGtp7dLcmP\nktyiu7+84v4/VdUbM/oHuUNV3TCj6qJ9M0oSfT3JMd39mYHvBwAAALbawBPHtolvZ1QhtF+Sq642\nqar2zcWnmf3HavN21N1vSfKWnax3dC7e6+hnxmdtaEXREUlevkOSKEnS3Z/NKDn0RxmVXO2XUZLo\nzUluIkkEAAAAzEp3d5KPjn/u6oj6lWMfmcKrl/ds/nxG2/FsK0MTRQdldLz9al6b5EoZJYjOT/KY\n7j6mu88e+F4AAABgVpaWtsdnuBPH34dX1aVXmXOz8ff5Ge27vGFV9YAkt02ylOQPu7dfadbQRNHl\ns+sTyz6b5KKMWs1u3d1/ubNJVfWHA+MAAAAAmNRrk/w4yd5J7rTKnHuMv1/X3Wdu9EVVdViS5bzI\nY7v7vRtdazMNTRTtkV3s+D3OjH09yS919yd3sc4jB8YBAAAAMJHuPivJU8Y/n7DjeFUdmtH+zGck\necaK+/tX1Yeq6syqeuBa76mqI5K8O8llkzxutUKa7WBooigZlUztyhnjf/ifUVWXqar7Jjl4CnEA\nAAAAW6D7om3xmZKXZnSk/e2q6rjlFrSqOiTJm5KcleTe3f3tFc/cPsmtk1whyZNWW7iq9qyqx2a0\nt9E5SX6lu//XtALfDENPPUuSE6tqlxOqalsd9QYAAACQ/Pem1o8fH1//6CSfrqrzM2pHe2eSF3X3\nt3Z47ANJPpHk+kmO33HNqrp+Ri1rv5fk7CSPS/Lq7r5ws/6OaZlGoigZbVa9ml5jfHkOAAAAwEx0\n97uSvGudc8/IxZtcX0JVHZ3k5kn+PaP9mk+bWpBbYBqJorWSQGuNAwAAALuT7XdY17bR3SclOWnW\ncWzU0D2KfpDkpkn26e49JvkkuVSSA5M8fOgfAQAAAMBwQyuK3tfdn9rIg+MewDOTvLKqnjwwDgAA\nAGCrLKkomldDK4pePZUokqdNaR0AAAAANmhQomi80dNg3f3GaawDAAAAwMZN69QzAAAAYFHYzHpu\nDW09AwAAAGBOSBQBAAAAkETrGQAAADCppYtmHQGbREURAAAAAElUFAEAAACTspn13FJRBAAAAEAS\niSIAAAAAxrSeAQAAAJNZ0no2r1QUAQAAAJBEoggAAACAsbluPXvWkU+fdQgL5emffNasQ1g4jz3y\nybMOYeE8J5eadQgL5xN7/cKsQ1g4n8kFsw5h4Tz+QW+bdQgL51k3Pm3WISycPzvlarMOYeE86/4/\nnXUIzDOnns0tFUUAAAAAJJnziiIAAABgE9jMem6pKAIAAAAgiUQRAAAAAGNazwAAAIDJaD2bWyqK\nAAAAAEgiUQQAAADAmNYzAAAAYCLdF806BDaJiiIAAAAAkqgoAgAAACZlM+u5paIIAAAAgCQSRQAA\nAACMaT0DAAAAJtNaz+aViiIAAAAAkkgUAQAAADCm9QwAAACYjFPP5paKIgAAAACSqCgCAAAAJmUz\n67mloggAAACAJBJFAAAAAIxpPQMAAAAmYzPruaWiCAAAAIAkEkUAAAAAjGk9AwAAACbj1LO5paII\nAAAAgCQqigAAAIBJ2cx6bqkoAgAAACDJDBNFVXW1qvqXqrryrGIAAAAA4GKzbD37QZIbJHlZkmNm\nGAcAAAAwCa1nc2tTEkVV9YtJHp3k55JcOkntMOVSSa6b5MpJ7rwZMQAAAAAwmakniqrqhkk+muQy\n+dkE0c58dtoxAAAAAJuoVRTNq82oKHpGkn2TvC/Jfya59vj+qSvmXC3JzZL8SZLXbEIMAAAAAExo\nMxJFt05y5+5+X5JU1ZWSHNvdf7RyUlX9fpKbdPfZmxADAAAAABPajETRGctJoiTp7tOr6sCq2qe7\nf7pi3iuTnFFV7+7uN2/0ZVV18mpjT7/Ob210WQAAAGA1NrOeW3tswppn7uTeCUmeuPJGd1+U5Kwk\nj92EGAAAAACY0GYkis6qqkdU1XWr6ueSpLvfneReVXXf5UlVdVSSayY5YsjLuvuw1T6D/goAAACA\nBbMZrWevSvKmJJ3kvKo6rLu/keTPkvxDVf1FRlVHh4/n26MIAAAAdidOPZtbU68o6u63JPnHJJVk\nnySXHd9/c5JXJzk4oyqiS40feeO0YwAAAABgcptRUZQkv5nk9knO6e7PL9/s7odW1WeTPHD87nck\n+dNNigEAAADYDDaznlsbThRV1SO7+6U7G+vuTvLeVcaOT3L8Rt8LAAAAwOYY0nr27KqqqUUCAAAA\nwEwNSRTtn+QJ0woEAAAA2E300vb4MHVD9yh6blU9KcnXk5yb0Ulnkzq3u+86MA4AAAAABhqaKDon\nyT8n+UZGiaK13DjJPTNKKFWS741/AwAAADBjQxNFd+vuf1nPxKo6JsmxuThJ9IXx86cOjAEAAADY\nSk49m1tD9ig6fYIk0bOTvDHJvhkliU5K8suSRAAAAADbx5CKot9Za0JVXS7JG5IcnVGCKElekuQP\nu+06BQAAALslFUVza8OJou4+aVfjVXXdJCcmuX5GSaILkzymu/9qo+8EAAAAYPMM3aNop6rqLkle\nn2T/jJJEZyU5prvfuxnvAwAAAGC4qSeKqurJSZ6V0f5HleTrGW1a/aVpvwsAAACYge5ZR8AmmVqi\nqKr2TfLqJMfk4v2IPpTkXt39g2m9BwAAAIDNMeTUs/9WVddO8pFcMkn0t0mOkiQCAAAA2D0Mriiq\nqtslOSHJlTJKEnWSp3b3c9b5/H7dfc7QOAAAAIAt4tSzuTWooqiqHpXk3UmunFGS6JyMNq1eV5Jo\nzCloAAAAANvAhiuKqupVSX4nF7eafSfJ3bv70xOscbkkd9loDAAAAMAMqCiaW0Nazx6SUZtZJ7kg\nycuS3LCqbriOZy+d5JpJfjPJFQfEAAAAAMCUTOPUs9OSnJfk9yZ4Zu+M9jTaM6NEEwAAAAAzNjRR\n9LokD+nuiWvOqmrPJPdP8pqBMQAAAABbafI0ALuJIZtZ/yjJwzeSJEqS7r6wu1+b5KMDYgAAAABg\nSoYkiv5Pd583hRheP4U1AAAAABhow61n3f3oaQTQ3X81jXUAAACALeLUs7k1pKIIAAAAgDkyjVPP\nAAAAgEXSDjCfVyqKAAAAAEgiUQQAAADAmNYzAAAAYDI2s55bKooAAAAASDLnFUUHLNWsQ1gojz3y\nybMOYeH8r08+Z9YhLJzb3vihsw5h4Ry95+VnHcLCOeqnl5p1CAvn+D1Pn3UIC+dun/efE7fa85Yu\nmnUIC+cKL/jYrENYSBf+xawjgGHmOlEEAAAAbAKtZ3NL6xkAAAAASVQUAQAAAJNqFUXzSkURAAAA\nAEkkigAAAAAY03oGAAAATKSXetYhsElUFAEAAACQRKIIAAAAgDGtZwAAAMBklpx6Nq9UFAEAAACQ\nREURAAAAMKlWUbRRVbV/kiOT3DDJvt39nBmHdAkqigAAAICFV1W3qqq3VNWXqupzVXVKVR1XVVee\nwtqXrqqHVtWHk5yc5FeSvCfJc4euPW0SRQAAAMBCq6pjk3woyalJDu/uw5PcPck9knymqg4bsPYt\nk3w+yV8n+ViSG3T307v7i93dw6OfLq1nAAAAwGSWtl1+Y8Oq6gFJnpfk37r7ccv3u/uUqjomyaeS\nvL2qbtLdZ0649m9nlCBKkvt095umFfdmUVEEAAAALKSqulyS48c/j9txvLs/m1GL2MFJnjbh2sck\neXWSvZI8dHdIEiUSRQAAAMDieniSA5JcmOSkVea8dfz9iKq67HoWraojkvxtkkryxu5+7dBAt4rW\nMwAAAGAyS3Nz6tndx99f6O5zVpnz8fH3vuP5b1jHui8Zz19K8j8HRbjFVBQBAAAAC6eq9kpy0/HP\nr+5i6sqxW65j3Tsmuc3457u7+xsbi3A2VBQBAAAAk5mPiqKrZ1T1kyTfXW1Sd59dVeck2S/Jek4/\nO2bF9Ter6hlJ/keSg5JcMcnXk/xjkld39wUbCXwzSRQBAAAAu6WqOnm1se5eK6lzxRXXP1lj7k8y\nShQduI6w7rTi+rpJXtbdz0z+e++i/z3+/G5V3bm7f7iONbeM1jMAAABgEV1mxfX5a8z96U6e+RlV\ntWeSa45/fj/J3br7c8vj41PU7pjke0lunuQVkwS8FVQUAQAAAJPpnnUESdZVNbQr56643muNucvj\nq214vexKGZ10liQf7u5zd5zQ3WdV1V8neWqS36yqX+juXe2RtKVUFAEAAACL6HsrrvdbY+7y+Olr\nzLtoxfWu2tk+PP6uJLddY80tJVEEAAAALKJv5+IKoauuNqmq9k1y+fHP/1hjzTNzcRvbrtrUTl1x\nfdAaa24prWcAAADAZObg1LPu7qr6aJKjkhyyi6krxz6yxpoXVtXnkhyZ5Dq7mHrhiuufaU+bJRVF\nAAAAwKI6cfx9eFVdepU5Nxt/n5/kHetY8+3j70Orap9V5lxtxfWX1rHmlpEoAgAAACaz1NvjM9xr\nk/w4yd655LH2K91j/P267j5zHWu+KqOk0j5J7rzKnEPH36cn+Zf1hbo1NiVRVFVPnWDuZavqjlV1\n9C4ybQAAAABT1d1nJXnK+OcTdhyvqkOT3C3JGUmeseL+/lX1oao6s6oeuMOa307yvPHPp1XVzrb9\necj4+6k7Oxltljarouiu65lUVTfOaCOolyf5tSTvrapf3aSYAAAAAHb00iQvTnK7qjpuuQWtqg5J\n8qYkZyW59zgBtOz2SW6d5ApJnrSTNf8kyd8n+aUkr6+qA8dr7lFVf5zkpkn+tLtfsTl/0sZt1mbW\n+1bV7yW5XZIDk3wzoxKtD+8w7xVJrp7kqO7+56q6QpKPVNX9u/tzmxQbAAAAMETv/ptZL+vuTvL4\nqnpnkkcn+XRVnZ9RO9o7k7you7+1w2MfSPKJJNdPcvxO1rwoyf2q6h+TPDTJp6rqzCSV5JQkt+ru\nj27SnzTI1BNF42PjDk3yV8u3xt+/V1VP7u7nj+ddLqMMWif5bJJ09w+r6pVJXp1R1g0AAABg03X3\nu5K8a51zz8jFm1zvat7fZ1RZtNvYjIqieyTZa3z9hSSfTvLdjI6Te2ZVvb+7P5VL7vD9wxXXb0ny\ngqq6c3e/cxPiAwAAAIaYzkbSbEObkSh6UJJPJfmD7v7EyoGqulNGm0P9Vi6uNOpxmdfyj29W1XlJ\n7pNRiRcAAAAAW2AzEkU3SnLEuAzrErr7XVX1rB1uX7CTNb6f5JfX87KqOnm1sRde6wHrWQIAAACA\nbE6i6Hs7SxIlSVVdJaPNoFY6eydTl3LJ1jQAAABgm+il+dnMmkvajETRBVV17e4+deXNqrpSkr9L\nctEO7z5tJ2tceb0v6+7DVht70bUfqGkSAAAAYJ02I1H0f5L86/j0sm9llPQ5LMm9MqomOrGq7pnk\n3PH8b698uKpulmTfJF/bhNgAAAAAWMVmJIr+KslRSZ6eZGVFTyV5e3ffq6pekeQu4/GDqurp3b28\nd9Gx4/sf34TYAAAAgKGceja39pj2guMTzI5J8sQkp2S0WfV3krwoo5PMkuRRGSWCvpXkzkmuVlXf\nqKovZVR5lCR/M+3YAAAAAFjdZlQUpbuXkrxw/NnZ+PlJ7r38u6oemeTFGSWQKskru/t9mxEbAAAA\nMFDbzHpebbiiqKquPY0AqurgHnlskuskuVF3P3waawMAAACwfkNaz94xpRjevHzR3d/u7pOntC4A\nAAAAExjSenbdqrp6d39nowtU1SFJbjQgBgAAAGCr2cx6bg1JFO2Z5N+r6oNJzprw2UpypSS3S3Kp\nATEAAAAAMCVDN7O+YpJ7Dni+kkhDAgAAAGwD0zj1rKawBgAAALC7WHLq2bwakij6VpJrJbkgyQlJ\n3pP1J40qyQFJ7pHkNgNiAAAAAGBKhiSKDkly3yR/mOQBSQ5N8rwk/9Dd60otVtXLknxvQAwAAADA\nVrOZ9dzaY6MPdvdF3f2G7j4yyVFJTkvyhiRfrapHVdW+61jjvCTf2GgMAAAAAEzPhhNFK3X3+7v7\n6IyOuv/nJM9P8q2qemZVXWmNx28yjRgAAAAAGGYqiaJl3f3F7n5okoOT/O8kj0zyzap6WVUdssoz\ndsACAACA3UkvbY8PUzfVRNGy7j6tu5+a5NpJnpzkjklOqao3VdVNN+OdAAAAAAyzKYmiZd19Tncf\nn+S6Se6f5OpJPlZVH6iqozfz3QAAAABMZsipZ+vW3V1V705yvSSHJ7lNkttU1ReTvKC7X7MVcQAA\nAABT4NSzubXpiaKqukqSxyd5RJLLrRxKclBGVUYAAAAAzNimJYqq6uAkxyb5nST7ZJQYWvatJMcl\neWV3n7tZMQAAAADT10s2kp5XU08UVdUNM9rA+j5JLpVLJoi+lOS5SV7f3RdO+90AAAAAbNzUEkVV\ndcskT0ly1+VbK4Y/keQvuvut03ofAAAAANM1OFFUVXfKKEF0m+VbK4bfl1GC6P27eP6A7j5zaBwA\nAADAFrGZ9dzaY6MPVtV9qupTSU7KKElU408n+cckN+vuO+wqSTT2wY3GAAAAAMD0DKkoemNGSaHl\nCqILkrwuyfO6+5T1LFBVV05y3QExAAAAADAl09ijqJOcluSlGZ1mdvOquvkaz+yT5NpJjkmy1xRi\nAAAAALaK1rO5NTRRVEnOTHJekodN8Mw+Sa6UUeub/+kCAAAA2AaGJoru2N3v3ciDVbV3kscl+fOB\nMQAAAABbqZdmHQGbZMObWSf55kaTREnS3ed193OTfH9ADAAAAABMyZBE0eumFMMJU1oHAAAAgAE2\n3HrW3U+fRgDd/ZhprAMAAABsEZtZz61pnHq2bb0nZ8w6hIXynFxq1iEsnNve+KGzDmHhfPDfXzXr\nEBbOiTeayv9fggnc+sb/OesQFs77T7nqrENYOH9+r3NnHcLC+bsT9p51CAvn7Of/+qxDAHZDQ1rP\nAAAAAJgjc11RBAAAAExfaz2bWyqKAAAAAEiioggAAACYlIqiuaWiCAAAAIAkEkUAAAAAjGk9AwAA\nACaztDTrCNgkKooAAAAASCJRBAAAAMCY1jMAAABgMk49m1sqigAAAABIoqIIAAAAmJSKormloggA\nAACAJBJFAAAAAIxpPQMAAAAm0q31bF6pKAIAAAAgiUQRAAAAAGNazwAAAIDJOPVsbqkoAgAAACCJ\niiIAAABgUiqK5paKIgAAAACSSBQBAAAAMKb1DAAAAJhIaz2bWyqKAAAAAEgiUQQAAADAmNYzAAAA\nYDJaz+aWiiIAAAAAkmyTRFFVvXDWMQAAAADrtLRNPkzdzBNFVXWpJA+cdRwAAAAAi27DexRV1X5J\nnjjw/ZdOcoskBw5cBwAAAICBNpwo6u5zquphSa4xMIZKYhcsAAAA2E20zazn1tDWs5MySvQM+QAA\nAACwDQxNFL0/yT8nOai795j0k+QySX538F8BAAAAwGAbbj0b+0CSw7v7+xt5uLvPTfKaqvrjjQZQ\nVSevNnaXa91lo8sCAAAAq9F6NrcGVRR19/eSvHoKcXx9CmsAAAAAMMDQiqJ099eGPF9VN0ryKwPe\nf9hqY0df+2gpTgAAAJi2pVkHwGYZukfRIFV1/yTvjU2tAQAAAGZucEXRpKpqryQPTvLEJNfLKEmk\n8gcAAABgxrYsUVRV+yf5gySPTnLQ8u2tej8AAAAwHW0z67m16Ymiqrpmkj9M8tAkl12+Pf7+ryRn\nZVRZBAAAAMAMbVqiqKoOT3JskvuM37Oyeuj9SZ6b0f5EeyY5bbPiAAAAAKbMZtZza+qJoqq6fUYJ\nojss31oxfGaSO3f3J1bcu6CqTpx2HAAAAABMZiqnnlXVHlV1v6r6ZJJ3Z5QkqvHnJ0lenuSGSb68\nQ5IoSdLdD5lGHAAAAABs3KCKoqraN8nDkjw+yXWWb4+/v5rkZUle3d1njefb7QoAAAB2czaznl9D\nW8++kuRq4+vlY+7fmeT47n7HwLUBAAAA2EJDW8+OSPLMJN8b/35rkj+QJAIAAADY/QxKFHX36d39\npxm1nT00yc8n+UpV/VNV3XEaAQIAAADbzNI2+TB1U9nMurvP7+5Xd/cRSe6cURvaO6rqy1X1uKq6\n/DTeAwAAAMDmmUqiaKXufl93/3qSQ5O8L8mzk3ynql6RZL+dPVNVt5p2HAAAAMDm6KXt8WH6pp4o\nWtbdp3T3I5JcK8mfJTk6yaFV9ZdVdb0dpr96s+IAAAAAYH02LVG0rLvP7O6/SHJwkt9NcoskX6yq\nk6rqflX1sIz2NgIAAABghvbcqhd194VJXpfkdVX1K0n+KMkbkvRWxQAAAABMgbavubXpFUU7090f\n6O67JLlVki/NIgYAAAAALmkmiaJl3f2vSe4SVUUAAAAAM7dlrWer6e5Tq+rxs44DAAAAWB8njs2v\nmVYULevu42cdAwAAAMCim3lFEQAAALCbUVE0t7ZFRREAAAAAsydRBAAAAEASrWcAAADAhGxmPb9U\nFAEAAAALr6puVVVvqaovVdXnquqUqjquqq68wfUuX1XPrqovVtVPq+pHVfXhqrrftGOfJokiAAAA\nYKFV1bFJPpTk1CSHd/fhSe6e5B5JPlNVh0243lWSfCrJU5McmOTsJJdNcqskf1dVz55i+FMlUQQA\nAABMpJe2x2caquoBSZ6X5OPd/bjuPj9JuvuUJMckuVqSt1fVAetcb48k/5jks0mu290HdfdVklw3\nyUfH055SVQdP5y+YLokiAAAAYCFV1eWSHD/+edyO49392STvSXJwkqetc9l7Jvlkdx/T3V9dsdZX\nk9x//HOPJDfbYNibSqIIAAAAmMisK4mmWFH08CQHJLkwyUmrzHnr+PsRVXXZdax5QJIn7Gygu09N\ncvr455mDrgOTAAAgAElEQVQTxLllJIoAAACARXX38fcXuvucVeZ8fPy974r5q+ruV3X3hTsbq6q9\nkuyf5DtJPjhhrFtCoggAAABYOOOkzU3HP7+6i6krx2458LUPyKh66X7dfd7AtTbFnrMOYDOdet4Z\nsw5hoXxir1+YdQgL5+g9Lz/rEBbOiTd6+qxDWDj3+PyzZh3Cwnnmkettv2daLjPrABbQa/7B/w3d\nanvUrCNYPF9+4XdmHcJCOuKxs45gi/T2+F/qqjp5tbHuXuuksqtnVCWUJN/dxTpnV9U5SfZLMtHp\nZytV1e2S/HmSW3f3pze6zmZTUQQAAAAsoiuuuP7JGnOXxw+c9CVVdXhVvSrJ+zM6Qe2fqupek66z\nVea6oggAAACYX+uoGtqVlUW9568x96c7eWZNVXWfjPY1OijJj5NcPsk1kry5qh7S3a+ZZL2toKII\nAAAAmMisTzub0qln56643muNucvjq214vVPdfUJ3P7C775BRNdETMtqjKEmOq6p9JllvK0gUAQAA\nAIvoeyuu91tj7vL46buctQvdfU53vzDJY8a3Dkxy842ut1kkigAAAICJ9FJti89A387FFUJXXW1S\nVe2bUctYkvzH0JcmeWWSH46vrzGF9aZKoggAAABYON3dST46/nnILqauHPvIFN57QZKvjX+ePXS9\naZMoAgAAABbViePvw6vq0qvMudn4+/wk75jSe/dKspTkE1Nab2okigAAAICJzHoT6yltZp0kr83o\nNLK9k9xplTn3GH+/rrvPHPrCqjooyWFJ3tTdpw1db9okigAAAICF1N1nJXnK+OcTdhyvqkOT3C3J\nGUmeseL+/lX1oao6s6oeuMMzd6mqP66qG6zy2hckOTXJY6fxN0ybRBEAAACwyF6a5MVJbldVxy23\noFXVIUnelOSsJPfu7m+veOb2SW6d5ApJnrST9Z6Z5PNV9aqquklVXbaqblRVJyQ5KMmtuvu/NvfP\n2pg9Zx0AAAAAsHvpHnzi2LYx3tT68VX1ziSPTvLpqjo/o3a0dyZ5UXd/a4fHPpDR/kLXT3L8DmOP\nSfL0JL+Y5EFJ7prkm0k+mOQF3f1vm/SnTIVEEQAAALDwuvtdSd61zrln5OJNrncce3uSt08xtC0l\nUQQAAABMZEobSbMN2aMIAAAAgCQSRQAAAACMaT0DAAAAJtJL87OZNZekoggAAACAJBJFAAAAAIxp\nPQMAAAAm0j3rCNgsKooAAAAASKKiCAAAAJiQzaznl4oiAAAAAJJIFAEAAAAwpvUMAAAAmIjWs/ml\noggAAACAJBJFAAAAAIxpPQMAAAAm0j3rCNgsKooAAAAASLJNKoqq6qnd/WezjgMAAABYm82s59fM\nK4qqqpI8ZtZxAAAAACy6QRVFVXW9JHdN8sbu/u6K+3dJcuV1LLFPkl9LcqUhcQAAAAAw3NDWs3cm\nuU6So5PcYcX9o5I8buDaAAAAwDbUrfVsXg1tPesklZ9NOL15fH+9HwAAAABmbGhF0Z2T/HqSE1be\n7O6PVtW3ktwzyb9399LOHq6qvZPcNslJGw2gqk5ebeywq9x8o8sCAAAALJxBiaLu/kqSF64y/KYk\nn1stSTR+/rwk76mqrw6JAwAAANg6q/83fXZ3QyuKduVZGbWmrcfDNvqS7j5stbEbHnSL9b4fAAAA\nYOFtWqKou3+4472qukGSw5P8OMm/dveZ47kf2aw4AAAAgOlaspn13BqUKKqqayb5mU9332+HeQcm\n+Zskd1tx+8KqOj7Jk3bVngYAAADA1hhaUfTPSQ4ZX/84yV8m+fOVE6pq/yQfSHJoLnnC2V5JHp/k\noCQPGhgHAAAAAAMNTRQ9J8lfJ/lokt/o7u/vZM7fJjksF+9XdM54/vlJbpnkt6rq77p7wyefAQAA\nAFuntZ7NraGJomsnOTnJUd390x0Hq+q+Se6ei5NEn80oofTN8fhVkpyY5OFJJIoAAAAAZmhoougW\nSR61SpJo3yTPzyhJVEn+K8mdu/t7y3O6+3tV9TsZtbABAAAAu4FeUlE0r/YY+PxVu/tfVhl7Ukab\nW1dGyaKHrkwSLevuU5KcOzAOAAAAAAYaWlF04c5uVtXBGSWKllvO3tzd79jFOt8eGAcAAAAAAw1N\nFB1UVZfu7vOXb1RVJXlVkn3Ht85P8kerLVBVeyXZe2AcAAAAwBbpXnsOu6ehrWdfTvIXyz/GSZ+X\nJ/nVjKqJOsnx3f2NXaxxrySfGRgHAAAAAAMNrSh6WZITquqOSb6Q0ebW187FG1h/M8kzVnt4fOrZ\n85M8YWAcAAAAAAw0KFHU3W+qqpcl+YMkh2aUHFr23YxOOTtnZ89W1S8keWuSayT54ZA4AAAAgK3j\n1LP5NbT1LN39qCS/meTtSU5J8rEkz0lyo/GJZpdQVVesqmcm+fdcnFx6+dA4AAAAABhmaOtZkqS7\n35LkLeuc/uCMkkO/n9EeR1/ubhVFAAAAsJtYahVF82oqiaJJdPeLt/qdAAAAAKxtcOsZAAAAAPNh\nyyuKAAAAgN1baz2bWyqKAAAAAEgiUQQAAADAmNYzAAAAYCLds46AzaKiCAAAAIAkKooAAACACS3Z\nzHpuqSgCAAAAIIlEEQAAAABjWs8AAACAibTWs7mloggAAACAJBJFAAAAAIxpPQMAAAAm0j3rCNgs\nKooAAAAASKKiCAAAAJjQks2s55aKIgAAAACSzHlF0S33vdasQ1gon8kFsw5h4Rz100vNOoSFc+sb\n/+esQ1g4zzzyabMOYeE845PPnnUIC+dhRx476xAWzmEX7TvrEBbOPjY02XJfyeVmHcJCOmLWAcBA\nc50oAgAAAKavtZ7NLa1nAAAAACSRKAIAAABgTOsZAAAAMBGnns0vFUUAAAAAJFFRBAAAAEzIOYbz\nS0URAAAAAEkkigAAAAAY03oGAAAATMRm1vNLRREAAAAASSSKAAAAABjTegYAAABMpLWezS0VRQAA\nAAAkUVEEAAAATGhp1gGwaVQUAQAAAJBEoggAAACAMa1nAAAAwEQ6NrOeVyqKAAAAAEgiUQQAAADA\nmNYzAAAAYCJLPesI2CwqigAAAABIoqIIAAAAmNCSzaznlooiAAAAAJJIFAEAAAAwpvUMAAAAmEhr\nPZtb26KiqKr2m3UMAAAAAItuWySKknxh1gEAAAAALLpBiaKq+tOhAVTVzZJcZ+g6AAAAwNZY2iYf\npm9oRdFDhjxcVVdI8pqBMQAAAAAwBUM3s75GVf1Sd39q0ger6vJJ3pnkBkl6YBwAAADAFrGZ9fya\nxh5FL6uqS0/yQFUdkOS9SW46hfcDAAAAMAXTSBQdmeRv1zu5qq6S5F/GzwEAAACwTQxtPUuSC5Pc\nt6p+0N2P2tXEqrpmkvcl+YWM2s0qyZeSXH8KcQAAAABbwEbS82toRdF3klw2yX2SPKSqnrnaxKr6\n+SQfzihJVEnOSnLX7j40yVc3GkBVnbzaZ6NrAgAAACyioRVFH+/uC5K8qarOSvK2cWXRS1ZOqqrD\nkrwnyUEZJYm+m+RO3f2F8ZT3DIwDAAAAgIEGJYq6+14rrt9TVQ9O8vpxsuj1SVJVv5TR6WYHjqd+\nM8lR3f21Fc/usmVtjRgOW23s9w4+xmlqAAAAMGVaz+bXNPYo+m/dfUJVXT3J31TVDzNqL3t7ksuP\np3w9ya9196nTfC8AAAAAww1KFFXV4d39uZX3uvvF402rT8how+r9xkPfSPKr3f2tnaxzg+7+0pBY\nAAAAgK3RqVmHwCYZupn163d2s7ufmOTEjJJEneT/ZZUk0dibB8YBAAAAwEBDE0U/X1WXW2Xst5O8\nP8mFGe1JtNN2s6o6OMn1BsYBAAAAwEBD9yjaJ8nJVfWvSX6yk/GzkuyV5BVVtbNE0eWT3DbDE1YA\nAADAFlmaw86zqrpVkickOTTJ+Un2TvK2JM/t7u9vcM27JXlUkmsnuSij/MffJ3lBd+8sjzJz09jM\n+hpJfnMX453kV3cxXuM5AAAAAFuuqo5N8twkL0lyv+4+v6qun9EBXferqjt198kTrvmSJI9O8qSM\nEkNLVXWLjJJP962qO3T3d6b7lww3rUqeGvABAAAAdiNLqW3xmYaqekCS5yX5eHc/rrvPT5LuPiXJ\nMUmuluTtVXXABGv+z4ySRCd09/O7e2m85seSPDSjqqUTq2qvqfwRUzSNiqL3J/mnJGdP+NweSa6Y\n5DeS3HIKcQAAAACs23jf5ePHP4/bcby7P1tV70lypyRPy6g1ba01D07yzPHP5+9kzX+qqi8lOTLJ\n/7fi/dvC0ETR2Unu0t0XbnSBqnpZktMGxgEAAAAwqYcnOSCjg7hOWmXOWzNKFD2iqp7R3T9eY80n\nZJRv+c/u/uQqc05McoMkx1bVX3b3ttmSZ2jr2f8bkiRKku4+N8k3BsYBAAAAbJHeJp8puPv4+wvd\nfc4qcz4+/t53xfz1rPmJXcxZXvNa2WZdVoMSRd19xJTiOHJK6wAAAACsabw/0E3HP7+6i6krx3aZ\n1Kmqa2Z0wtnU1txq2+JY+u6+YNYxAAAAAAvl6hlVCSXJd1eb1N1nJ1muNjpsjTV/fsX1qmvuMLbW\nmltqGptZAwAAAAtkadYBjFXVqkfWd/daCZgrrrj+yRpzf5JkvyQHTmnNlWNrrbmltkVFEQAAAMAW\nu8yK6/PXmPvTnTwzZM2frrhea80tpaIIAAAAmMhS1axDSLKuqqFdOXfF9V5rzF0eX23D60nXXDm2\n1ppbSkURAAAAsIi+t+J6vzXmLo+fPqU1V46tteaWkigCAAAAFtG3c3E1z1VXm1RV+ya5/Pjnf6yx\n5pdXXK+65g5ja625pSSKAAAAgIn0NvkM+hu6O8lHxz8P2cXUlWMfWWPN05J8dZprbjWJIgAAAGBR\nnTj+PryqLr3KnJuNv89P8o4J1rzpLuYsr3lako+tY80tI1EEAAAALKrXJvlxkr2T3GmVOfcYf7+u\nu89cx5p/lWQpycFVdaM11nxpdy+tN9itIFEEAAAATGRpm3yG6u6zkjxl/PMJO45X1aFJ7pbkjCTP\nWHF//6r6UFWdWVUP3GHNryZ50fjnE3ey5h2T3DjJ15K8eAp/xlRJFAEAAACL7KUZJWxuV1XHLbeg\nVdUhSd6U5Kwk9+7ub6945vZJbp3kCkmetJM1n5rkhCQPrqrHV9Ue4zVvkuRvk5ya5De6+0eb9Ddt\n2J6zDgAAAADYvSzVrCOYnvGm1o+vqncmeXSST1fV+Rm1o70zyYu6+1s7PPaBJJ9Icv0kx+9kzfOq\n6n5J3pLk95P8blVdkGSvJK9I8pLu/sEm/UmDSBQBAAAAC6+735XkXeuce0Yu3pB6tTmd5O/Hn92G\n1jMAAAAAkqgoAgAAACa0lDnqPeMSVBQBAAAAkESiCAAAAIAxrWcAAADARHrWAbBpVBQBAAAAkERF\nEQAAADChJXtZz625ThQd/9q7zzqEhfL4B71t1iEsnOP3PH3WISyc959y1VmHsHAuM+sAFtDDjjx2\n1iEsnFd+8vmzDmHhvOwmfzzrEBbOL1/0/7N33+HOVWXex78/ykNRuoIdxA4IYi84jGKXwYq94ygW\nFEUcGREU7DKgInZfsWDB7qCiYhsbFpqIgiKIICIgSO/nfv/YO5484fQkJ+fJ+X649pVk77VX7uQ8\npNxZ615XjjqEZefsG9YZdQiSVkFOPZMkSZIkSRIw5iOKJEmSJEnS4E2MOgANjSOKJEmSJEmSBJgo\nkiRJkiRJUsupZ5IkSZIkaV5q1AFoaBxRJEmSJEmSJMARRZIkSZIkaZ4mMuoINCyOKJIkSZIkSRJg\nokiSJEmSJEktp55JkiRJkqR5mRh1ABoaRxRJkiRJkiQJMFEkSZIkSZKkllPPJEmSJEnSvDj1bHw5\nokiSJEmSJEmAI4okSZIkSdI8VUYdgYbFEUWSJEmSJEkCTBRJkiRJkiSp5dQzSZIkSZI0LxazHl+O\nKJIkSZIkSRJgokiSJEmSJEktp55JkiRJkqR5cerZ+HJEkSRJkiRJkgBHFEmSJEmSpHmqUQegoXFE\nkSRJkiRJkgATRZIkSZIkSWo59UySJEmSJM3LREYdgYZlpCOKkmya5OGjjEGSJEmSJEmNUU89uwD4\ndJJnjjgOSZIkSZKkZW+oU8+SbAZsAawAegemrQ5sA2wIvAk4YpixSJIkSZKkwZgYdQAamqEkipKs\nBnwEeC43ThDdqDmw8TDikCRJkiRJ0twNa0TRq4Dnz7HtRcDeQ4pDkiRJkiQNmCOKxtewEkXPBr4F\nvAX4K3BP4G6sPL3sVsD+wD5VdcKQ4pAkSZIkSdIcDStRtCnwgKq6qr19VpJdquqsrjZnJXkp8NMk\n21bVBQu5oySnTHfsqv/75EK6lCRJkiRJWpaGterZmV1Joo4/JrlP946qOgO4FthvSHFIkiRJkqQB\nqyWyafCGlShaM0lvgeqPAgcnWdHZkWQdmkLWj1voHVXV1tNtC+1TkiRJkiRpORrW1LNjgB8nORG4\nAnhJVZ3fThM7NskhwD+B3YGbDCkGSZIkSZIkzcOwEkXvB14G3LW9/Wng/2immJ0MHN7VtoDfDCkO\nSZIkSZI0YBMZdQQalqFMPauqc4CdgWNpRhcd1+4/v91/HpB2uxTYexhxSJIkSZIkae6GNaKIqvox\n8KAp9v8qyZbAQ9v7/3lVXTisOCRJkiRJ0mBNjDoADc3QEkUzqaprkvwDOHmK1dEkSZIkSZI0An1N\nPUtyaZIburark3x9jqffHvhqkjX7iUGSJEmSJEmD0W+Nov2ZrDV0BHCrqtplLidW1edpahi9rs8Y\nJEmSJEnSIqolsmnw+k0UXd9evrmqnlNVF83z/AOBxyS5WZ9xSJIkSZIkqU/9Joq2A/6vqvZbyMlV\ndT3wbuAJfcYhSZIkSZKkPvWbKNqKZvpZP46iWQFNkiRJkiStAiaoJbFp8PpNFG1UVT/qp4OqugLY\nuM84JEmSJEmS1Kc1+jz/koFEAasPqB9JkiRJkjRkE6MOQEPT74iiDQYSBWw+oH4kSZIkSZK0QP0m\nitZOsm4/HSTZGLhpn3FIkiRJkiSpT/0mis4H/qPPPp4InNdnH5IkSZIkaZHUEtk0eP0mir4HvCXJ\n2gs5Ocl6wL7AT/qMQ5IkSZIkSX3qN1F0JLAl8NX5JouSrAN8Abgt8LU+45AkSZIkSYtkYolsGry+\nEkVVdSLwJeARwAlJHj6X89p2vwYeDpxQVcf0E4ckSZIkSZL6t8YA+tgDuD9wZ+DoJKcDRwPHAxcA\nVwPrAzcH7gU8FLgDkPbYfw4gBkmSJEmSJPWp70RRVZ2XZGea5NBmwB2Bl89yWoDrgBdU1Qn9xiBJ\nkiRJkhbPREYdgYal3xpFAFTVScD2wHdokkCdja5LuvafBTy6qj43iPuXJEmSJElS/waSKIJmZFFV\nPQrYETgc+CsrJ4uuokkk7Q7cpaq+P6j7liRJkiRJUv8GUaNoJVX1Y+DHAElWAJsAl1fVZYO+L0mS\nJEmStPgmqFGHoCEZeKKoW1VdC/xtmPchSZIkSZKkwRhqokiSJEmSJI0fxxONr4HVKJIkSZIkSdKq\nzUSRJEmSJEmSAKeeSZIkSZKkeZoYdQAaGkcUSZIkSZIkCTBRJEmSJEmSpJZTzyRJkiRJ0rxMuO7Z\n2HJEkSRJkiRJkoAxH1H0zV2/NeoQlpUDt/v7qENYdnY+OaMOYdl56xOvGnUIy87hX1h/1CEsO1vf\nsM6oQ1h23n/P/UYdwrLz0uMPGHUIy86nt/Pf+WJ76l4rRh2CxpjjicaXI4okSZIkSZIEmCiSJEmS\nJElSa6ynnkmSJEmSpMGbGHUAGhpHFEmSJEmSJAkwUSRJkiRJkqSWU88kSZIkSdK8TLju2dhyRJEk\nSZIkSZIARxRJkiRJkqR5cjzR+HJEkSRJkiRJkgATRZIkSZIkSWo59UySJEmSJM3LxKgD0NA4okiS\nJEmSJEmAiSJJkiRJkiS1nHomSZIkSZLmpVz3bGw5okiSJEmSJEmAI4okSZIkSdI8Wcx6fDmiSJIk\nSZIkSYCJIkmSJEmSJLWceiZJkiRJkuZlwmLWY8sRRZIkSZIkSQJMFEmSJEmSJKllokiSJEmSJM1L\nLZFtqUryoCRfTnJqkt8kOS3JQUlu3kef6yd5c5LfJbk6yWVJfpLkaYOM3USRJEmSJEnSgCTZG/gx\n8Bdg26raFtgFeBxwQpKtF9DnpsBxwOuBTYBLgZsCDwI+m+TNAwrfRJEkSZIkSZqfCWpJbEtNkmcC\n7wR+WVV7VtW1AFV1GrArcEvgqCQbzaPP1YCvACcCd6qqzapqU+BOwM/aZvsk2WIQj8FEkSRJkiRJ\nUp+SrAcc2t48qPd4VZ0IfBfYAth3Hl0/Hvh1Ve1aVad39Xc68PT25mrAfRcQ9o2YKJIkSZIkSerf\ni4CNgOuBb07T5qvt5UuS3HSO/W4E7DXVgar6C3Bhe/PiOfY3o5EmipJslGSrUcYgSZIkSZLmZ2KJ\nbEvMLu3lb6vqymna/LK9XKer/Yyq6mNVdf1Ux5KsCWwAnAv83zxindaoRxRdAXw/ySNGHIckSZIk\nSdKCtAmb+7Q3T5+hafexBwzgrp9JM4LpaVV1zQD6Y41BdDKdJAE2BVYA6Tm8OrANsB7N3L1thxmL\nJEmSJEnSkNyKZpQQwN+ma1RVlya5ElgXmPfqZ92S7Ai8Fdihqo7vp69uQ0sUJXkDsDdwk9maApsP\nKw5JkiRJkjRYtURWHEtyynTHqqqvRMw8bdx1/YpZ2l5BkyjaZCF3lGRb4JXA82hmin09ySuq6ssL\n6a/XUKaeJXk+8CbgpjSJoJm2G2iWjpMkSZIkSVoVdQ+SuXaWtldPcc6cJHkK8FrgdsDl7e5bA19K\n8rz59jeVYY0o2h04HjgY+CtwD+CWwLe62twKeBXwonaJOEmSJEmStApYKoWkF3nU0Eyu6rq+5ixt\nO8enK3g9rao6EjgSIMm6NPmXd9Dkdw5K8rmqunqGLmY1rETRFsDdquoigCQ/AT5YVT/qbpTkd8AX\nk2xfVZffuJvZzTTM7EubPX0hXUqSJEmSpGUgyRbAmX12c0vg/K7b687SvnP8whlbzaJdWe3gJFcB\n76eZynY/4EcznjiLYa169udOkgigqm4Azk9y5+5GVXUSTbGnfYYUhyRJkiRJ0nRuAP7R5zYBnMPk\nCKFbTHdnSdYB1m9v/n5Aj+GjwD/b67fut7NhjShKknWqqnvo1UeAw4DHdjVanWZO3lOB1y/kjmYa\nZvblWzxjaVTXkiRJkiRpjCyVYtb9qqqzgZsNoq8kPwMeBmw5Q7PuYz8dxP1W1XVJ/gTcC7i03/6G\nNaLoF8A3krwlyesBqurPwKVJvpnkwUnuDnwQ2IBmmJYkSZIkSdKq6mvt5bZJVkzT5r7t5bWsXMe5\nX2vSjGz6Vb8dDWtE0fuAk4AdAZL8oKp+BuwLnAD8sKttAX8YUhySJEmSJEmL4VPA22hWgH8k8L9T\ntHlce/npqrp4EHeaZDNga+CLVfX3fvsbyoiiqjoNeDZwHnA6cGq7/0/A02mqgafdrgf2G0YckiRJ\nkiRp8CaWyLaUVNUlTNZg3qv3eJKtgJ2Bi4D9e45tkOTHSS5O8qyeY49Osl+Su05z1/8D/AV4Zb+P\nAYY39Yyq+kJV3bqq7tJT2PobwB2Bl9E8iHtU1VRZNkmSJEmSpFXJYcC7gR2THNSZgpZkS+CLwCXA\nk6rqnJ7zdgJ2ADYEXjtFn28CTk7ysST3THLTJHdPciSwGfCgqjpvEA9gWFPPZtQG/4FR3LckSZIk\nSerPRI1HMetBq6oCXpXkaGAP4Pgk1wJrAUcDh7QFtHv9kKa+0F2AQ3uOvQJ4A3A3mtlbjwXOAv4P\n+J+q+sUgH8OiJoqS3AS4K3ANcGpVXb+Y9y9JkiRJkjRsVfVt4NvzaH8Rk4Wue48dBRw1oNBmNbCp\nZ0nWT3LvdujTaj3HVktyEHAh8EuaQtfnJdljUPcvSZIkSZKk/vSdKEqyepKDaQpX/wI4ETgnyS5d\nzd4PvIpmqFWniPXGwLuT/Fe/MUiSJEmSpMVTS2TT4A1iRNF7aIpSdyeBbgEcmeQuSf4NeNE05wZ4\nU1vUSZIkSZIkSSPUV6KoXZptdyYTRKcBPwPOBVYAewIvaJv/BngqsBWwLfDStt2awG79xCFJkiRJ\nkqT+9VvM+hk0yaaTgGdW1e86B5I8HngXcFPgVGCHqrqi69zfJvkOcBzwkD7jkCRJkiRJi2TCiV9j\nq9+pZzsAlwCP6k4SAVTVV2mmpW0K7NuTJOq0OQN4B3DnPuOQJEmSJElSn/pNFN0JOKKq/j7N8SOA\nCeDoGfr4BrB+n3FIkiRJkqRFUkvkPw1ev4mijWhqEk2pqi4Gfl9VV87Qx9+A1fuMQ5IkSZIkSX3q\nN1G0LnD+LG0un+X41X3GIEmSJEmSpAHot5g1wLV9nn+TAcQgSZIkSZIWycSoA9DQDCJR9LQkgWkn\nB66f5MFApjgWYNcBxCBJkiRJkqQ+DSJR9OJ2m8kPB3A/kiRJkiRpCZiwkPTYGkSiCKYeLTQf/guT\nJEmSJEkasUEkiq4HfgtcuoBzbwJsDaw9gDgkSZIkSZLUh34TRQVsW1WnLbSDJDcHTuozDkmSJEmS\ntEjKiUFja7U+zz+jnyQRQFVdAHy3zzgkSZIkSZLUp34TRYcNJAr48oD6kSRJkiRJ0gL1NfWsqt49\niCCq6muD6EeSJEmSJA3fxKgD0ND0O6JIkiRJkiRJY2IQq55JkiRJkqRlpMpi1uPKEUWSJEmSJEkC\nTBRJkiRJkiSp5dQzSZIkSZI0LxM49WxcOaJIkiRJkiRJgIkiSZIkSZIktZx6JkmSJEmS5mVi1AFo\naMY6UXT7FVeMOoRl5S2n3XLUISw775y4YdQhLDufPXKtUYew7KyWUUew/KztcreL7oE3XDnqEJad\nT2+336hDWHaeddIBow5h2Tnw3m8YdQjL0gF7jzoCqT9jnSiSJEmSJEmDVxazHlvWKJIkSZIkSRJg\nomYi0MkAACAASURBVEiSJEmSJEktp55JkiRJkqR5mXDq2dhyRJEkSZIkSZIAE0WSJEmSJElqOfVM\nkiRJkiTNS5VTz8aVI4okSZIkSZIEOKJIkiRJkiTN08SoA9DQOKJIkiRJkiRJgIkiSZIkSZIktZx6\nJkmSJEmS5qWwmPW4ckSRJEmSJEmSABNFkiRJkiRJajn1TJIkSZIkzcuEU8/GliOKJEmSJEmSBDii\nSJIkSZIkzVOVI4rGlSOKJEmSJEmSBJgokiRJkiRJUsupZ5IkSZIkaV4sZj2+HFEkSZIkSZIkwESR\nJEmSJEmSWk49kyRJkiRJ81JOPRtbjiiSJEmSJEkS4IgiSZIkSZI0TxPliKJx5YgiSZIkSZIkASaK\nJEmSJEmS1Fr0RFGSFye5zWLfryRJkiRJGoxaIpsGbyiJoiRrJ/mvJCcl+W3P4V8A30nymmHctyRJ\nkiRJkhZm4MWsk6wJfAd4ULvrr93Hq+rEJI8CfpbkNlW156BjkCRJkiRJ0vwNY9WzPYEd2us3tNtK\nquovSfYBDk9yVFUdM4Q4JEmSJEnSEEw48WtsDWPq2TOAE4FHA+sB503T7mtAgJcPIQZJkiRJkiTN\n0zBGFG0ObFVV5wEkmTLNWFWXJrkOeGA/d5bklOmOHX/bXfrpWpIkSZIkTcERReNrGCOKTu8kiWbS\nrny2JrDBEGKQJEmSJEnSPA1jRNFFc2z30vbygn7urKq2nu7YCbd7nClOSZIkSZKkORrGiKKjk7xy\npgZJXgi8FijgB0OIQZIkSZIkDUlVLYlNgzeMEUXvB36e5F7AEcBaSe5AM8Vsa+D5wI40hayvAd42\nhBgkSZIkSZI0TwNPFFXVtUkeDXwR+BbNqKE/9DQLcDnwnKr63aBjkCRJkiRJ0vwNY0QRVXV+kh2B\nXYFnAvcBNqEZQXQG8G3gfVV19jDuX5IkSZIkDY+rno2vBSeKkhzfdfM64LVV9aPOjmomCx7ZbpIk\nSZIkSVri+hlRdA/gauDVwKeq6orBhCRJkiRJkpayckTR2Op36tnHq+qD3TuSfI+maPWKrt1XAadU\n1SP6vD9JkiRJkiQNyWp9nv/L3h1VtRNwZ+DLwIbAJ4E7mCSSJEmSJEla2vodUfSPqXZW1aVJXgM8\nF3h9VV3d5/1IkiRJkqQloilLrHHU74iia6c7UFX/BE61dpEkSZIkSdKqod9E0WwuG3L/kiRJkiRJ\nGpBhJ4pmlWT3UccgSZIkSZLmboJaEpsGb9iJosyhzauHHIMkSZIkSZLmoN9i1hvPcnzG9F6S+wNb\n9hmDJEmSJElaRBazHl/9Joo+keTtwMQ0x2+Z5Ixpjt0EuFmf9y9JkiRJkqQB6TdRtAZw21nabD7D\nsTDLqCNJkiRJkiQtjn4TRXOpQSRJkiRJksaIhaTHV7+Jon2Ao4DL53legA2BJwD79hmDJEmSJEmS\nBqCfRNG5VfWOPu//xCQv7LMPSZIkSZK0iMoRRWNrtT7O/dSAYvjcgPqRJEmSJElSHxacKKqqfQYR\nQFXtNYh+JEmSJEmS1J9+axRJkiRJkqRlZqKcejau+pl6JkmSJEmSpDFiokiSJEmSJEmAU88kSZIk\nSdI8uerZ+HJEkSRJkiRJkgBHFEmSJEmSpHmymPX4ckSRJEmSJEmSABNFkiRJkiRJajn1TJIkSZIk\nzYvFrMeXI4okSZIkSZIEmCiSJEmSJElSa6ynnn0zNx11CMvKgU+/etQhLDsb/s+xow5h2bn0Xf8x\n6hCWnT8cfO6oQ1h2/sh6ow5h2Tn7hnVGHcKy89S9Vow6hGXnwHu/YdQhLDtv+PWBow5BY8xVz8aX\nI4okSZIkSZIEjPmIIkmSJEmSNHgWs146kmwA3BvYBlinqt7eT3+OKJIkSZIkSRqgJA9K8uUkpyb5\nTZLTkhyU5OYD6n9Fkt2S/AQ4Bfh34LvAO/rt20SRJEmSJEnSgCTZG/gx8Bdg26raFtgFeBxwQpKt\n++z/AcDJwEeAY4G7VtUbqup3Vf0Xj3LqmSRJkiRJmheLWU8tyTOBdwK/qKo9O/ur6rQkuwLHAUcl\nuWdVXbyA/p9LkyACeEpVfXEQcXdzRJEkSZIkSVKfkqwHHNrePKj3eFWdSDM9bAtg3wX0vyvwcWBN\nYLdhJInARJEkSZIkSdIgvAjYCLge+OY0bb7aXr4kyU3n2nGSewCfAAJ8rqo+1U+gMzFRJEmSJEmS\n5qWWyH9LzC7t5W+r6spp2vyyvVynq/1cvLc9ZwL474WFNzcmiiRJkiRJkvqQZE3gPu3N02do2n3s\nAXPs+xHAg9ub36mqM+cf4dxZzFqSJEmSJM1L1cSoQ1hqbkUz4gfgb9M1qqpLk1wJrAvMdfWzXbuu\nn5Vkf2B7YDNgY+AM4CvAx6vquvkG3stEkSRJkiRJWiUlOWW6Y1XV1zL087Rx1/UrZml7BU2iaJM5\n9v3Irut3At5fVW+Cf9Uu+lC7vSDJo6rqn3Psd0pOPZMkSZIkSerPTbquXztL26unOGdKSdYAbtPe\nvADYuap+0znerqT2COB84H7Ah+ca8HQcUSRJkiRJkuZlYokUkl7kUUMzuarr+pqztO0cn67gdbeb\n0ax0BvCTqrqqt0FVXZLkI8DrgScnuWNVzVQnaUaOKJIkSZIkSctSki2SVJ/bLWhG9HSsO8vddo5f\nOIcQb+i6PtOUtp90HhLwb3Pod1qOKJIkSZIkScvVDcA/+uxjAjiHZoTQusAtpmuYZB1g/fbm7+fQ\n98U0U9lWMPNUtb90Xd9sDv1Oy0SRJEmSJEmal6qlMfWsX1V1Ns30rr4l+RnwMGDLGZp1H/vpbH1W\n1fVJfgPcG9h8hqbXd12/0fS0+XDqmSRJkiRJUv++1l5um2TFNG3u215eC3xrjv0e1V5ulWTtadrc\nsuv6qXPsd0omiiRJkiRJ0rxMUEtiW2I+BVwOrMXKS9p3e1x7+emquniO/X6MJrG0NvCoadps1V5e\nCPxojv1OyUSRJEmSJElSn6rqEmCf9uZevceTbAXsDFwE7N9zbIMkP05ycZJn9fR7DvDO9ua+SaYq\nI/T89vL1U62MNh8miiRJkiRJkgbjMODdwI5JDupMQUuyJfBF4BLgSW3yp9tOwA7AhsBrp+j3jcDn\ngXsBRyTZpO13tST7AfcBDqiqD/f7ACxmLUmSJEmS5mVcilkPWjVPzKuSHA3sARyf5Fqa6WhHA4e0\nBbR7/RD4FXAX4NAp+r0BeFqSrwC7AccluRgIcBrwoKr62SAeg4kiSZIkSZKkAaqqbwPfnkf7i5gs\ndD1Tu8/TjCwaGqeeSZIkSZIkCXBEkSRJkiRJmqcJp56NLUcUSZIkSZIkCXBEkSRJkiRJmqfCEUXj\naiQjipJsOor7lSRJkiRJ0vSGmihKcpskr0ryxp5DL0vy9SRbDvP+JUmSJEmSNHdDSxQl2QM4HTgI\neEH3saraH/gScFySfx9WDJIkSZIkafCqaklsGryh1ChK8hDgPTO1qapPJLkH8JUkW1fVucOIRZIk\nSZIkSXMzrBFFewHXA0cC/wlcOE279wIbAHsPKQ5JkiRJkiTN0bBWPbsv8MSqOgogyW7TtPszTULp\nscCrhhSLJEmSJEkaoAlXPRtbw0oUXdZJEs1i7TaG2y70jpKcMt2xN9/uGQvtVpIkSZIkadkZVqLo\nzDm227m9vHpIcUiSJEmSpAGzkPT4GlaNoj8m2W6mBkluTbMiWgG/WegdVdXW020L7VOSJEmSJGk5\nGlai6J3AZ5M8tPdAkjWTPAf4NZNTzj4ypDgkSZIkSZI0R0OZelZVZyZ5HXBUkn8C6yb5CbA+cEdg\nLSBt889V1aeHEYckSZIkSRq8Caeeja1hjSiiqr4O3A84EVgPeCCwDU0B6wDnAa8GnjWsGCRJkiRJ\nkjR3wypmDUBVnQw8JsnGwL2BTYBrgDOA31TVxDDvX5IkSZIkSXM31ERRR1VdBHxnMe5LkiRJkiQN\nl6ueja+hTT0DSLJtko8mOT3JlUkuSXJKkvclufsw71uSJEmSJEnzM7QRRUleA7wVWJ3JwtVrA3dr\nt92TvBd4jVPQJEmSJEladUzgiKJxNZREUZInAu8EiiZJdAHwU+Ac4GrgdsB9gT2BzYBnDiMOSZIk\nSZIkzd2wRhTt3V5eTrOy2aeq6truBklWA54MvC/JU6rqyCHFIkmSJEmSpDkYVqLo7jSjiZ5ZVUdN\n1aCdbnZkknOBAwETRZIkSZIkrQIsZj2+hpUouhy4fLokUbeq+kmS9YYUhyRJkiRJkuZoWKuefXue\n7deZameSVwwgFkmSJEmSJM3BsBJFbwTWSrL9bA2TbAVcMs3hlw0yKEmSJEmS1L+JqiWxafCGkiiq\nqjOB/wDekWST6dol2Qj4ALBvz/4VSR4FbDmM+CRJkiRJknRjQ6lRlOR7wL+3N89PMtsp351DG0mS\nJEmStAQUjuYZV8OaevZZIAPYJEmSJEmStEiGterZF4DDgGOA44Ab5nn+msAOwIMHHJckSZIkSZKm\nMZREUVVdkuQHwK5VdeVC+kiyAjhvsJFJkiRJkqR+WUh6fA1r6hnAG4CrF3pyVV3b9iFJkiRJkqRF\nMJREUZJ9q+pXVTXRTz9VddigYpIkSZIkSdLMhlWj6IAkqwMHV9VlQ7oPSZIkSZI0AuXUs7E1zKln\n+wJ/S/KJJP82xPuRJEmSJEnSAAwrUfR34CbAY2lWPDsqyR+TvD7JrYd0n5IkSZIkaRHUEvlPgzes\nRNETq+raqvpRVb0AuAVwIPBQ4Iwk30zy5CRrDun+JUmSJEmSNE9DSRRV1c97bl9ZVZ+sqp2AOwM/\nA94JnJvkkCR3H0YckiRJkiRJmrth1iiazgRwc2BTYGPglcCJSX6V5PlJVowgJkmSJEmSNEdVtSQ2\nDd5QEkVJNpti37ZJPg2cDrwcWBe4HHg38DjgGJrpaWckecEw4pIkSZIkSdL01hhSvz8AtgJI8hDg\ntcAj2mMBLgbeA7y3qv7Z7j8qyX7APsCHk+wMPKWqrh9SjJIkSZIkaQEczTO+hpUoukuS9wI7ANu1\n+wJcABwCvK+qLu89qaquAw5Isi6wN7Bfu0mSJEmSJGnIhlWjKMDLaJJEAf4GvBrYoqrePlWSaIq4\nAjxvSPFJkiRJkiSpx7BGFEGT6DkLeAfw/6rq2nmcu0t7ucnAo5IkSZIkSX1x4tn4Gmai6HXAwQus\nMXRNe3nMAOORJEmSJEnSDNJPAaokt+vZ9c+qujTJN6rqsX30e0vg/sDRVXXVggNcBSU5BaCqth51\nLMuFz/ni8zlffD7ni8/nfPH5nC8+n/PF53O++HzOF5/PuTRa/dYo+jNwJnAqcCiwPUA/SaL2/L9V\n1VeWW5JIkiRJkiRplAYx9ewY4NlVdf4A+pIkSZIkSdKIDGLVsxeaJJIkSZIkSVr19Zso+mtVnd1v\nEElu228fkiRJkiRJ6k+/iaILBxIF/O+A+pEkSZIkSdIC9Zsouq7fAJKsAG7fbz+SJEmSJEnqT6pq\n4ScnZwD7A1lgF+sDuwA7VdXqCw5EkiRJkiRJfes3UTQBLLyDthugTBRJkiRJkiSN1hoD6GOho4kk\nSZIkSZK0hPSbKPoHcNQCz10N2BB4ILBxn3FIkiRJkiSpT/1OPftVVd2nrwCSTYG/VNXa/fQjSZIk\nSZKk/vS76lnf086q6nzgjH77kSRJkiRJUn/6TRStN5Ao4NUD6keSJEmSJEkL1O/Us6uBjarqqsGF\nJEmSJEmSpFHod0TRCuA1gwhEkrR0JLnJqGOQJEmStPj6TRQBvDHJj5K8KMmtB9Df2EjyqCSfT3Jh\nkppiuyHJxUlOTfK5JM9Kss4U/WyQ5KQk/5iij4kkf0qy3yge41KR5H1JLu15bj4+yzmPTXLBFM/p\nJUn2WKzYVxVJ3pzkz1M8X0+bZz9rJDmrp4/rkvw+yRbDiX75SXLzJH+da8InyWZJnprkQ0nOBvYe\ncohjIcmTk/wgyblJTkhycpLvJDkgyW5JTk9yu55z7ty+bp+Z5K6jin1V1b4f9r7eV5KrkpyS5B5d\nbb/S/n/Q2/avSd48ysexqkiyfZK3Jvll+x5wWnv91CQ/T/KxJK9I8qokl4063lVF+3yd3n6Om+oz\nYiW5Isk57WvMgUnuNuq4x0GSt0/zujCX7cRRxz8qSfbseh6uTfLHJMcn+XVW/q5zZrvvxPbfb/fz\nt8WoH4ekuel36tkre3b9vKp+2V9I4yfJfYDu5+XxwI+AdYE7AY8FXgLcFDgH2K2qvjNFPwEOa9sC\nXAdsV1W/H170q440SbYPA8/q2v3KqnrvLOc9BPhf4CbA64CDquqGoQW6ikvyCODbXbtOrKrt53H+\nM4AjunZdBNyjqs4eUIgC0iSP3wTsWVXvmaXtHYHnAw8AHtLuflNVvXGoQa7ikrwPeBnwHuB1VXV1\nu/8hwKHA1m3TB1XVz7rO2ws4qL35mqr6n8WLejwkWQF8E9ip3fVXYJuq+uc0bS8H1gSOA17qZ5XZ\nJbkl8F7gycCZwL7A16vq8vb4asCONK8zD+6cV1V9L3SynLTJn5No/n1C8znmszSj9jcFHgg8E1gf\nmAA+SPO6ft3iRztekuwDvLW9eT3wPOAfPc1WAJsA96V5nzy1qu7BMpRkT+AQmv/n31VVV3QdOxx4\nbnvz+VV1eNexzYGPAg8Dbl9Vf16kkCX1oa9EkeYmyVrA1V27VqueJ779VfnnwIY0CaAHVNVxU/S1\nM01SA+D4qrrXcKJeNSVZnSbZdot21/XAI6rqB7OcdyTwUGDTqpoYbpSrviQXARt17XpMVX1rjuce\nB2wLrNHu+mpVPWHAIS5r7WvOWcBm7eUdq+r6OZy3KfD39qaJohkkeSLwJeD3wNZTvKavC3yX5kve\nU6vqyK5jtwU+DdwAPLuq/rpogY+RJK+gSdIBfLGqdp2m3ZOBL7TbczoJPU0vyXbAUcBtgGOAx1XV\nldO0DXAg8HowUbQQSY4HOj+4PLT3M0ubtDua5r0T4D1VtecihjiWkmwDnNzePLuqbjdL+5cAL17m\niaInVdWDpzh2ONMkitrjnc8jdzVRJK0aBjH1TLOoqmt6bt8oO1dVpwLvbm+uyfQrwV3edd0h3j3a\nkUDX0CTboElGHDmHoa5nAmeYJJqzS5lMKADsM5eTkjwUuCdwZNfuSwYYlxrPoEkSAWwOPGUuJ1XV\n+UOLaPw8r708eZrX9CuBJ9C8Tt+m59jZVbVjVT3UJFFfLu26fsVUDZI8HPgkzSiMp5kkml1XUuI2\nwB+ZIUkEzWeaqtqXJvmphen+tzzV68nfaF7XO3ZPsuHQoxp/3Z+p5/L571NMfr5cro6YvcmNVdXf\naX48kbSKMFG0tHQPhd9uZFGMhwOAv7XXbwZ8NTPXarmq3TR3hzH5genBSR40h3NeA5yIHxaGbU/g\nq0x+4XDRgcG7c3t5/3YE1420ibfD6EkUaXEkeQrNqJiDq+ol/hAwZx9nclTuK2ZKEvXYE79ED01V\nnQKc1t5ci8nXIC2Sdtrla0cdxwgdC3yjj/MPBm40PVjS0mSiaGlZ0XXdodv9OQfYBeh8wN2O5sPv\nTJyHOT9ns/IvSzOOKkqyFfAo4F3DDGq5S7ITsA2wF5O1pLZvR1ZocC5uL28HHNrWa5nK5zBRtOja\nKRKfoakdte+o41lVJPk34JHtzdNZuR7djKrqH8CN6itqoLrr51wzbSsNzWylDMZZVR3bTz3JqvrB\nVHXkJC1NJoqWlgd2XT92ZFGMiar6NfAcJhNAuyb57/n0kcYTk3wzyc+S/C7JeUm+mOTuAw961fMO\nJp/fxybZdoa2ewF/YeVpZ9NKslqSlyQ5NslxSc5u/w5Pb+u/aGqvAr5VVWfQFFTucBWzwfph1/X/\nBI5JcvveRlV1UlWtNPWvfV15YJKDkzx2yHEuK+1zexBNQvoFVXXIqGNaxTy/6/rRU02rnElV7dx9\nO8ltk7wtya/a99C/pVm17jVtTUHNzxbt5fnAKb0Hk9w1zSqwv0qzMt357eULFjXKMZTk+1PsWyvN\n6nXfbp/zi9uVvl7bFtFXj/ZzXO/qzae2U147bR7YftbutNmv69iGSV7Y+XskuX2STyT5e5pVAo9N\n8qQZ7n/LJB9M8r0kZ6RZ/fgbbWkESV1MFC0RaZbzfVl7859MrsKgPlTVl2gLbLYOnOsXs3aEwBdp\nCtZ+s6oeWFVbAc+mWbnu50m2nqmPcdfW1vpq167XTdUuyS1oVm05ZI5FlVenKTy7H/D0tmj79jQr\nwHwG+Gf7YezYJG/o82GMjSR3AR5DM90J4Fs0owIAHp6uZcPVt4OYnN4KzWpxpyR543SJzCQbJTmY\npqDnT2mSejcfeqTLRPvF7Aia99InVdUnRxzSqqh75OHx/XSU5ME0yYzH0yx48EDgjjQr1L2LZhUk\nzVGSxwO3opnet3vve2mSXWlWT9sGeEhV3RfYClgd+FiS/Rc55LGRZH2a57V736Y0i9AAPKqq7kOz\n0mXR/Ij2fX/UurGqegwrj0B/f1Xdta3D1WnzM5r6ijcAB1bVAUnum+TbNEnSjwAPaV9jTgAeTTMT\nY13gfsAXk9xoimCSXWimzn2oqnaqqi2B3YBHAN/LjVfzlpY1E0UjlGT1JPdKcgjwM5rl2X8OPLiq\n/jTa6MZHVb0N+ER7czXgiPYL9Wx2Ap7YXv9XTZ2q+i7wA5q/1x4DDHVV9bau609JsuUUbfagmQY4\n1y8Gr6R57j9WVWcCVNWFwEvb42sCH6iq+1fVgQsLeyztCZxBU4i2Uzj//V3HHVU0IO00m51oRsl1\nrAPsD5yW5GlTnHYZ8F80Ra41WOvTJEafTvNFzekN85Sm1tatu3Zd0GeXbwfWA06sqgsA2uW039Ie\nf273KAJNLcnGSV5Ok5z+MLBdVX1liqbvpilh8PO2lk7nffPg9vjejuKavzRFww+mqzxE1w+Jv6+q\nQzoj76rqXKAzcv1BNJ9ldGP/Q/ODCcAO07S5P3Bt2xaaxPWTaFZh7NgfeFhVbVpVmwKPY3Khn7d2\n/zjWzgL4PE3dtRM6+6vq68CX25vvSjLjynfScmKiaASS/CLJH2jml/+aZoTK/sD27aiV3440wPH0\nIuDH7fUNgK8l2WCWczr1ja4FekfBdFYqutFUk+Wmqn4FfK+9uTo9yYg0RcR3p/nVaMqViabwn+1l\n95dwquqXQOf/jx0XFPCYSrIxzVTLD/RMF/k4kytCPcUPQYNTVb+n+QX5YFYu4nsb4LNJvpaulYmq\n6vqquo6moLsG6wnAv7XX1wGOSnKfEcazKtqk53a/K8R1Xnd6i2F33j/D5FQqTXp/O1r22CQn04yg\nOJQm6bYOzcjaqcz2fN9khnMFt+x63jvbb4ELaUaddHsy8GCmXunvBzQjYWDllerUat8H39He3C5N\nbcVezwO+VFWXtOdc3yZAj+tq84y2zESn368zuWr06sArutq+A7ik/bG3V2ffmsCu83w40tgyUTQC\nVXU/4L5MfgneBPhbVfnlYUiq6lqaESpntLvuAnwm0xegpap+CtwD2Kp7hFeSm9MUsIWVC5AvZ92j\nip7XTjXreAHNcOD3zqO/zqikqabldKZD9H6pWe5eTPPF6/9172wLR36qvbkGkx+iNABVdXlV7QXc\njWaaarddgJ+2rxnd59yABu0HNH+DP7e31wOOjrXk5uPyntvr99nfk2imZO7e2ZEkwD272vgeemMv\nbUfL3r+q7g5sSPPl9WKaHxZ/mORDSdboOe+BNMmLN3d2tG26pxz7fE/vb13Pe2fbBtiIG39+eVZ7\n+dbe5BJN/bq/tlvv30iT/h9wbnt9pWli7Q+MT6bn80zrX++f7cqivT7F5GjIf2/724RmMZV1p0gG\nHgu8nMm/2Ww/IkvLhomiEWm/vD2VZrQKwIetHzJc7RDsnYFL2l2PoesD1TTnnFRVf0rjkUk+xspv\naK5OB1TV94BftTfXpqm90hmevSfwyWne0KfTeZOfqgZUZx77WVMcW5aSrEnzQeczVXXxFE3e13V9\ntyQbLU5ky0dV/amqnkzzGvP3rkNbMfWHXQ3WX6rqdJovBn9u920MfDfJnUYV1Kqkqi5l5dEofdXP\nqqrLquqHVXVdks2SvB44nCah1+F76CzaZPQXgfvQ1CCCZpT0O3vaXVhVP6mqagv8vhX4ENA9vc/n\ne56q6jKa+otXde3ujFZ86hTJpftX1eZVdZuqutuNexRAVV1DM50S4BE934GeRDOS7ocL7Pen7c1b\ntZf3pvm3/9tp/l73aP9et6mq/absWFqGTBSNUDtl5zXtzXWAr7TTRzQk7VSRXZmcSrZPkqfMcArt\n6gnH0xTI26Oq9qZnSpSAlUcVvaSdcvNEmqkFB015xvQ6K6M9sS0Y2a0z3e+IeUc4vp5KM6XgvtP8\nWvYxJmu23JTJWk8asKr6Bs0v+N0jRHdOstWIQlpWquosmmmpZ7a7NqMpUuqUy7n5Sdf1e/XbWZsg\n+iBNDZBjquq5+Nq9IG3Conuhk5clWa+7TZI7JPkcTW26T1bVbjS1u9SHqrqKlVeZ64xo7nfU3XL3\nISZ/GOz+EfZ5wOE90+jn45z2sjMl3L+XtAAmikasqg5lcrrCFsDnLDY4XO385O55yx8Htutt144i\n+hhNwcJ3VdUBVdU791+Tvgqc2l5fj2blob2Ar1XVH+fZ1+tpVqZYC/h8ks0AkjySpljhPlX1o4FE\nPR5eBXy0qrad5tey+wOP7Gq/R1u4VguQZjnkm013vKrOo6mZ0/16se3QAxMAVfUXmilPnYT+bWmS\nRbeY/iy1vtx1/aHtVLEFaWtE/YamKO3DquoX/QYnTu66vgK4a+dGmhVdT6SZqvbYalYl1YBU1cO6\nbl7TXi7rlW/71X6mPqS9uWuSzZNsTjOF8vA+uu7UV+skjDp/rzv62UeaOxNFS8NuTNbOeTiTK4Jo\nSKrqA0zOOV+XZvneXi+nqa9zVlV9ZrFiW0Xc6MtD+8vPO7p2/TfNF4R39radTVVdVVU70ySfy6F5\nNwAACG1JREFUNgKOSfJr4PnAv1XV2xcU9RhK8u/A9sxSA6otBP799uZmNIWvtTAbs3Ky+Uaq6s80\nq1l29NZ/0RC1I4t2YnKq6h1pXkesbTazw5mc1nsHmmWj5y3J2jSv35sC725HZKh/vTVvrgFoV4/7\nPM2I0bdX1cRiB7bMdD6zP3+mRkm2T/KSRYhnVfY+mvpba9D8uPgc4HtVdXYffXZGkP6wvez8vdai\nWRlzWkkO8EcFqWGiaBHMVDAZoK3ovyuTGe//SvLkoQc2vtZibgUbXw18c4bjz24vp6r50pnzv1xH\nf63dbr2OADpv7usCP6mqY6dol2muNzuStZJ8BPhUO3f87lV176p6Wpvw0KTXAd9pp1XOpjuR95rZ\nXps0rT/QPH93nqVdpwbd9cDPhxvSsjTbe+vpNCPpOtMutwa+PYcVL5ettr7HbkxO2Xh3W1h2TpI8\nLcn9gYcyWR+k9z20u2bOcn0PXagHdV2/mMlRvE+gWdWss7+bz/f0Fjpi7tvt5Y5JXjRlx81018/Q\njI5eDhb0eaKdUvme9uZu7bbgun7trIz7AgV8sN39G+C89vo7ktx2mnOfC9yzHRUsLXt+SVgcG3bf\n6J1TDlBVx7PyakQfn6amxQbTXBf/Kup7M5rlqWfUrjz0NCaXW+/V+eVu2yQPb/tfI8mLad6EAO7U\nJjVuNWUPY6j9pfhmTP5i8y/tkqfd9YimG03UXUx5qik8n6EpNn5lkm2S3LVru0sS55kDSR5A80X4\nU7O1bR3D5IelO9Pzy1qSdbtuujrO9P5AU1fuq51pkb3a2loPaG++r6r+0XWsO8k6VcJVc9Nd02/K\n14SqOpnJFYqgqbvzXQu6T69dnOB5ND9e3RX48myvuUnWTHIAzZe8k1l55MvundeWJFsCb+w6tk2S\n1ab7/2gZ6U7GTZm8aJ+7N3TtOqBd0RVWfr5f0VkRLcl2rPzZcpv2M4v1MBvdn8/nnBClGQXTGSX6\ngSRv6yQfkmyQ5Nk0Pw4c3k6FXQ66n8v5fkZ7L3AZzQ+M6wFfm8tJ04wQfRJNKY9Dq+ok+Nfn/c7n\n0U1pViN9SpJ129efLZMc0sbxqnnGLo2vqnIb8ga8kCaz3dmeNkPbz3e1OwvYpuvY6jRfCDvHrwO2\nH/XjW0obzSigAn4HrD/HczanWaXohz3739LzdzsbuBT4CM1KXp395wM/HvVjX8Tn+L/ax/1HYNMp\njq9LU5zwd0CmOL4WzXDgzvN3OXCHnjZn9Tz3U22/BO4x6udjhH+H29EU1yzgRXM8Z02aX6C7/+1u\n23X8eV3Hvg+sMerHuRQ3mkRn53k6hybhtqLr+F1oviQUTdJzjZ7zH951/pHAaqN+TKvaRpOo+0nX\n83ghcPsZ2v++5/Xj98D9Rv04lvJGk1Q7vuvzyH8Cm/S0uSnNDy7HAvsDa7X7b04zkqv7df4v7Xvt\nvYB/tPuvbd8vHjnqxzvC5/nmNPXMOs/VYcAtaL4w35ymvtnrup7Pa4H/7uljq3Z/p49/0iz1/Sfg\nnjSjGqu9n/Pp+my5nDfgTT2vCw+Yx7lPoEmmdp/f/Tc4lCk+A43jRpN8ubDrsR/TeS2YRx+HtOe+\nd5Z2b+y6nx8DW3cd26F9PfncFO+7qwGf7fl7db5LFc2KyDuN+rl0c1tK28gDGOeN5svDn6Z4USqa\nFVleM8U569H8Wt1pN9G2vaTnQ1f38TOAN4z68Y74uX4JK39pqPaD6KeBm87h/AcA3+rZtxZwMHAu\nzYfcnwJPaY9t0N6+gqb452ajfg4W4Tk+lOZDfu+HolO48ZeHfYEX9OxbnWZp38um+Hd8PXACsGXb\ndlOaLyhH04z4uqD9QDbRc95fmWNCcJw2mvo4N/Q8F6cDD57hnMNppiRM9Rry/fZ1pvfYhTT1RUb+\nmJfa1r7uPopmxbkPAr+g+dB6Bs2ora8D/9Fzzg40ibrev90Fy/01fB7P+wqaaQSXT/Hv9QaaBNBW\nXe0PY+X31N7tz3N5j1jOG02dosPa1++/03yu+T7wXZoft17M1D8a7ECTML2CJqH6fuAW7bEX0Hym\nORN4zqgf44ie18cDn6SpozXdv8/O++NFNMm4twF3nKa/x7V/o6va16G3d94faUYiXUbzfv3oUT/2\nUW9Mfrab6v3wdOClc+xnG5op9+fSJBwuBP6XZZL4BB7dvuZeO8VzeVn7Wr35HPv6j/a8GX8AZOVE\n0cPa15jf03xm/BHw9BnODU0NpB/TfK+6pv17vxe4zaifTze3pbalqpCkpaKtm3MYcF5VvWmK46vT\nDHG+B/BR4CVVdfTiRilJkqRBSPI24BFVda9Z2r2RZvQiVbXgVRklza539QRJGrVDaOoT3X6qg9XM\nNf8HzXLXX8bXMUmSpFVSkhU0I332H3UskiZZzFrSktEWg9yDyXn/M7XdkGbK4PdnaidJkqQl63U0\n08I+PepAJE3yl3hJS8kGNB8W7gR8Icm7gF9W1xzZJFvQFJF8EbBHVV05gjglSZI0D+0qwd+iWfHz\n6zS15fYGdq+qq+fQxZpdfa09x3MkLYA1iiQtKUk+SrPEcsdVNMV+V6NZAWYt4ESaYtknLH6EkiRJ\nmq8kTwS+1LP768Dja5Yvpe0Ute8AO7a7HlNV3xp8lJLAqWeSlpiqeiHNKjufo1m5JcDGNAmjzwM7\nA/c0SSRJkrRKORo4CriaZuXatwK7ziFJ9HL+f3t3bAQhAAJA8KjsW7I4u7GZDySwASN3QyLiG2a4\nvy7+HuNzZq6ZOd5aFr7MRREAAAAAlYsiAAAAAJZQBAAAAEAlFAEAAACwhCIAAAAAKqEIAAAAgCUU\nAQAAAFAJRQAAAAAsoQgAAACASigCAAAAYAlFAAAAAFRCEQAAAABLKAIAAACgEooAAAAAWH/zysjX\n3UicOgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf7224fd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "#missing value\n",
-    "train.info()\n",
-    "#No missing value yeah!\n"
+    "sns.heatmap(train.corr())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -828,7 +1027,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -840,7 +1039,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {
     "collapsed": true
    },
@@ -858,7 +1057,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -881,21 +1080,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiUAAAF5CAYAAABAyVr6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzt3X2UZHV95/H3dxicdnBtjrairrZIwLFdFOxGDTEQn4nu\nimKySmvrRmIMIaxmPHuMqByfEh/IkQGjuEY3io62wWgi5ozgE0sWfCDSgEaKVgOkBIYhJc6ADD3i\nzG//uHe0p+3pquqpqvurqvfrnD5n6ta37v3+5nbd/tSvbt2KlBKSJElVW1N1A5IkSWAokSRJmTCU\nSJKkLBhKJElSFgwlkiQpC4YSSZKUBUOJJEnKgqFEkiRlwVAiSZKyYCiRJElZyCKURMQJEXFxRNwa\nEXsi4uQVav93WfPaXvYoSZK6K4tQAhwCXAucAez3y3gi4hTgqcCtPepLkiT1yNqqGwBIKV0CXAIQ\nEbFcTUT8Z+B84CRgS++6kyRJvZDLTMmKyqDyCeCclFKt6n4kSVLn9UUoAd4I/Dyl9IGqG5EkSd2R\nxds3K4mIKeC1wJPaeMyDKd7muRlY6E5nkiQNpBHgcODSlNJPernh7EMJ8NvAQ4AfLzrd5CDg3Ij4\ns5TSEcs85iTgUz3qT5KkQfRy4NO93GA/hJJPAF9ZsuzL5fKP7ecxNwNs3ryZiYmJ7nWWgY0bN7Jp\n06aq2+iJYRmr4xwsjnOwDMM4a7UaMzMzUP4t7aUsQklEHAIcCeydCjkiIo4B7kwp/Rj46ZL6+4Db\nU0o/3M8qFwAmJiaYnJzsUtd5GB0dHfgx7jUsY3Wcg8VxDpZhGWep56c/ZBFKgOOAyyiuUZKA95XL\nLwROW6Z+v9cykSRJ/SmLUJJSupw2Pgm0n/NIJElSH+uXjwRLkqQBZyjpc9PT01W30DPDMlbHOVgc\n52AZlnFWJVIavNMzImISuPrqq68ephOSJEk6YHNzc0xNTQFMpZTmerltZ0okSVIWDCWSJCkLhhJJ\nkpQFQ4kkScqCoUSSJGXBUCJJkrJgKJEkSVkwlEiSpCwYSiRJUhYMJZIkKQuGEkmSlAVDiSRJyoKh\nRJIkZWFt1Q1Iyku9XqfRaDStGxsbY3x8vAcdSRoWhhJJv1Sv19mwYYKFhZ1Na0dG1jM/XzOYSOoY\nQ4mkX2o0GmUg2QxMrFBZY2FhhkajYSiR1DGGEknLmAAmq25C0pDxRFdJkpQFQ4kkScqCoUSSJGXB\nUCJJkrJgKJEkSVkwlEiSpCwYSiRJUhYMJZIkKQuGEkmSlAVDiSRJyoKhRJIkZcFQIkmSsmAokSRJ\nWcgilETECRFxcUTcGhF7IuLkRfetjYj3RsR3I+JnZc2FEfHwKnuWJEmdlUUoAQ4BrgXOANKS+9YD\nxwJvB54EnAJsAL7QywYlSVJ3ra26AYCU0iXAJQAREUvuuws4afGyiDgT+HZEPDKldEvPGpUkSV2T\ny0xJuw6lmFHZXnUjkiSpM/oulETEOuA9wKdTSj+ruh9JktQZfRVKImIt8FmKWZIzKm5HkiR1UBbn\nlLRiUSB5FPDMVmZJNm7cyOjo6D7LpqenmZ6e7k6TkiT1kdnZWWZnZ/dZtmPHjoq66ZNQsiiQHAE8\nI6X001Yet2nTJiYnJ7vamyRJ/Wq5F+pzc3NMTU1V0k8WoSQiDgGOBPZ+8uaIiDgGuBPYCnyO4mPB\n/w04OCIOK+vuTCnd1+t+JUlS52URSoDjgMsozhVJwPvK5RdSXJ/kBeXya8vlUd5+BvDPPe1UkiR1\nRRahJKV0OSufdNtXJ+RKkqT2+cdekiRlwVAiSZKyYCiRJElZMJRIkqQsGEokSVIWDCWSJCkLhhJJ\nkpQFQ4kkScqCoUSSJGXBUCJJkrJgKJEkSVkwlEiSpCwYSiRJUhYMJZIkKQuGEkmSlAVDiSRJysLa\nqhvQcKvX6zQajaZ1Y2NjjI+P96CjfeXenyQNEkOJKlOv19mwYYKFhZ1Na0dG1jM/X+vpH/7c+5Ok\nQWMoUWUajUb5B38zMLFCZY2FhRkajUZP/+jn3p8kDRpDiTIwAUxW3cQKcu9PkgaDJ7pKkqQsGEok\nSVIWDCWSJCkLhhJJkpQFQ4kkScqCoUSSJGXBUCJJkrJgKJEkSVkwlEiSpCwYSiRJUhYMJZIkKQuG\nEkmSlAVDiSRJyoKhRJIkZSGLUBIRJ0TExRFxa0TsiYiTl6l5R0TcFhE7I+IrEXFkFb1KkqTuyCKU\nAIcA1wJnAGnpnRHx58CZwGuApwD3AJdGxP162aQkSeqetVU3AJBSugS4BCAiYpmS1wHvTCn9U1nz\nSmAb8CLgol71KUmSuieXmZL9iojHAA8DvrZ3WUrpLuDbwPFV9SVJkjori5mSJh5G8ZbOtiXLt5X3\nSWpBvV6n0WisWFOr1dpaZyv1Y2NjjI+Pt7VeScOpH0LJqm3cuJHR0dF9lk1PTzM9PV1RR1I16vU6\nGzZMsLCws0Nr3AqsYWZmpmnlyMh65udrBhMpQ7Ozs8zOzu6zbMeOHRV10x+h5HYggMPYd7bkMOCa\nlR64adMmJicnu9ia1B8ajUYZSDYDEytUbgHObmGN24E9LayvxsLCDI1Gw1AiZWi5F+pzc3NMTU1V\n0k/2oSSldFNE3A48C/guQEQ8EHgq8MEqe5P6zwSwUlBv7+2b5uuTpNZlEUoi4hDgSIoZEYAjIuIY\n4M6U0o+B84C3RMSPgJuBdwK3AF+ooF1JktQFWYQS4DjgMooTWhPwvnL5hcBpKaVzImI98GHgUOD/\nAc9LKf28imYlSVLnZRFKUkqX0+TjySmltwFv60U/kiSp97K/TokkSRoOhhJJkpQFQ4kkScqCoUSS\nJGXBUCJJkrJgKJEkSVkwlEiSpCwYSiRJUhYMJZIkKQuGEkmSlAVDiSRJyoKhRJIkZcFQIkmSsmAo\nkSRJWTCUSJKkLKytugGpk+r1Oo1Go2ndrl27WLdu3Yo1tVqtU22pg1rdx2NjY4yPj/egI0mdYijR\nwKjX62zYMMHCws4Wqg8Cdne7JXVYO/t4ZGQ98/M1g4nURwwlGhiNRqP8Y7UZmFihcgtwdht1ykXr\n+7jGwsIMjUbDUCL1EUOJBtAEMLnC/bU265SfZvtOUj/yRFdJkpQFQ4kkScqCoUSSJGXBUCJJkrJg\nKJEkSVkwlEiSpCwYSiRJUhYMJZIkKQuGEkmSlAVDiSRJyoKhRJIkZcFQIkmSsmAokSRJWTCUSJKk\nLPRFKImINRHxzoi4MSJ2RsSPIuItVfclSZI6Z23VDbTojcAfA68ErgeOAz4eEdtTSh+otDNJktQR\n/RJKjge+kFK6pLxdj4iXAU+psCdJktRBffH2DfAN4FkRcRRARBwDPA3YUmlXkiSpY/plpuQ9wAOB\nGyJiN0WYenNK6TPVtiVJkjqlX0LJS4GXAadSnFNyLHB+RNyWUvrk/h60ceNGRkdH91k2PT3N9PR0\nN3uVJKkvzM7OMjs7u8+yHTt2VNRN/4SSc4B3p5Q+W97+fkQcDpwF7DeUbNq0icnJye53J0lSH1ru\nhfrc3BxTU1OV9NMv55SsB3YvWbaH/ulfkiQ10S8zJV8E3hIRtwDfByaBjcBHK+1KkiR1TL+EkjOB\ndwIfBB4K3AZ8qFwmSZIGQF+EkpTSPcDryx9JkjSAPCdDkiRlwVAiSZKyYCiRJElZMJRIkqQsGEok\nSVIWDCWSJCkLhhJJkpQFQ4kkScqCoUSSJGXBUCJJkrLQ9mXmI+LkVmtTShe3u35JkjScVvPdN/8I\nJCCWLF+6LAEHrbIvSZI0ZFbz9s1zgWuB5wGHlj/PA+aAk1JKa8ofA4kkSWrZamZKzgNOTyldsWjZ\npRGxE/gbYKIjnUmSpKGympmS3wC2L7N8B3D4AXUjSZKG1mpCyb8A50bEYXsXlP/+K+CqTjUmSZKG\ny2revvlD4PNAPSJ+XC57FPBD4EWdakxaqlarHdD9/aRer9NoNJrWjY2NMT4+3oOOuq+VMQ/SPpb0\n69oOJSmlH0bEE4HnAI8rF9eAr6aUUiebkwpbgTXMzMxU3UhP1Ot1NmyYYGFhZ9PakZH1zM/X+j6Y\ntDNmSYOrrVASEQcDl1Cc6Ppl4Mtd6Urax3ZgD7CZlc+j3gKc3ZOOuqnRaJR/nJuNt8bCwgyNRqPv\nQ0nrYx6MfSxpeW2FkpTSfeUsiVSBCWByhfsHbWq/2XgH0bDtY0mLreZE180U55VIkiR1zGpOdF0L\nnBYRzwauBu5ZfGdK6fWdaEySJA2XlkJJ+ZbNv6aU9gBHU1y9FeCxS0o90VWSJK1KqzMl1wAPB+4A\nHg08OaX0k651JUmShk6r55RsBx5T/vvwNh4nSZLUklZnSj4HXB4RWyneovlOROxerjCldESnmpMk\nScOjpVCSUnpNRHweOBJ4P/AR4O5uNiZJkoZLy5++SSldAhARU8D5KSVDiSRJ6pjVXGb+Vd1oRJIk\nDTdPWJUkSVkwlEiSpCwYSiRJUhYMJZIkKQt9E0oi4hER8cmIaETEzoi4LiKG7StUJUkaWKv5Qr6e\ni4hDgSuBrwEnAQ3gKOCnVfYlSZI6py9CCfBGoJ5SevWiZf9eVTOSJKnz+uXtmxdQXNr+oojYFhFz\nEfHqpo+SJEl9o19CyRHAnwDzwHOBDwHvj4hXVNqVJEnqmH55+2YNcFVK6ezy9nURcTRwOvDJ6tqS\nfqVWqzWtGRsbY3x8vOfbbaWmm5ptv1v9VbVPJK1Ov4SSrcDSo0sNePFKD9q4cSOjo6P7LJuenmZ6\nerqz3WnIbQXWMDMz07RyZGQ98/O1Dv0RbH271amqx6r2idRfZmdnmZ2d3WfZjh07Kuqmf0LJlcCG\nJcs20ORk102bNjE56aeG1W3bgT3AZmBihboaCwszNBqNDv0BbHW7AFuAs5vUdEOrPXa6v6r2idRf\nlnuhPjc3x9TUVCX99Eso2QRcGRFnARcBTwVeDfxRpV1J+5gAqgjBrWy32rdvmvfYrf6q2ieSVqMv\nTnRNKX0HOAWYBr4HvBl4XUrpM5U2JkmSOqZfZkpIKW2hmOOVJEkDqC9mSiRJ0uAzlEiSpCwYSiRJ\nUhYMJZIkKQuGEkmSlAVDiSRJyoKhRJIkZcFQIkmSsmAokSRJWTCUSJKkLBhKJElSFgwlkiQpC4YS\nSZKUBUOJJEnKgqFEkiRlwVAiSZKysLbqBiRpkNTrdRqNRtO6Xbt2sW7duqZ1Y2NjjI+Pd6I1KXuG\nEknqkHq9zoYNEyws7Gyh+iBgd9OqkZH1zM/XDCYaCoYSSeqQRqNRBpLNwMQKlVuAs1uoq7GwMEOj\n0TCUaCgYSiSp4yaAyRXur7VYJw0XT3SVJElZMJRIkqQsGEokSVIWDCWSJCkLhhJJkpQFQ4kkScqC\noUSSJGXBUCJJkrJgKJEkSVkwlEiSpCwYSiRJUhYMJZIkKQuGEkmSlIW+DCUR8caI2BMR51bdiyRJ\n6oy+CyUR8WTgNcB1VfciSZI6p69CSUQ8ANgMvBrYXnE7kiSpg/oqlAAfBL6YUvp61Y1IkqTOWlt1\nA62KiFOBY4Hjqu5FkiR1Xl+Ekoh4JHAe8OyU0n1V96Pm6vU6jUZjxZpardajbvLSbNzD+v+i3mjl\nuQkwNjbG+Ph4DzqSfqUvQgkwBTwEmIuIKJcdBJwYEWcC61JKaemDNm7cyOjo6D7LpqenmZ6e7na/\nQ61er7NhwwQLCzurbiUzW4E1zMzMVN2IhlQ7z82RkfXMz9cMJgNudnaW2dnZfZbt2LGjom76J5R8\nFXjCkmUfB2rAe5YLJACbNm1icnKyy61pqUajUR70NgMTK1RuAc7uTVNZ2A7swf8XVaX152aNhYUZ\nGo2GoWTALfdCfW5ujqmpqUr66YtQklK6B7h+8bKIuAf4SUrJue5sTQArhcJh3XX+v6hqzX4HpWr0\n26dvFlt2dkSSJPWnvpgpWU5K6ZlV9yBJkjqnn2dKJEnSADGUSJKkLBhKJElSFgwlkiQpC4YSSZKU\nBUOJJEnKgqFEkiRlwVAiSZKyYCiRJElZMJRIkqQsGEokSVIWDCWSJCkLhhJJkpQFQ4kkScqCoUSS\nJGXBUCJJkrKwtuoGJKlqtVqtac3Y2Bjj4+M96EYaXoYSSUNsK7CGmZmZppUjI+uZn68ZTKQuMpRI\nGmLbgT3AZmBihboaCwszNBoNQ4nURYYSSWICmKy6CWnoeaKrJEnKgqFEkiRlwVAiSZKyYCiRJElZ\nMJRIkqQsGEokSVIWDCWSJCkLhhJJkpQFQ4kkScqCoUSSJGXBUCJJkrJgKJEkSVkwlEiSpCwYSiRJ\nUhb6IpRExFkRcVVE3BUR2yLiHyLisVX3JUmSOqcvQglwAvDXwFOBZwMHA1+OiPtX2pUkSeqYtVU3\n0IqU0vMX346IPwDuAKaAK6roSZIkdVa/zJQsdSiQgDurbkSSJHVGX8yULBYRAZwHXJFSur7qfnJX\nr9dpNBpN63bt2sW6deua1o2NjTE+Pt6J1qS+U6vVDuj+bm0XhvO52enjm8fB6vVdKAEuAB4PPK1Z\n4caNGxkdHd1n2fT0NNPT011qLS/1ep0NGyZYWNjZQvVBwO6mVSMj65mfr/mE1JDZCqxhZmYm2+0O\n23OzG8e3YTwOzs7OMjs7u8+yHTt2VNRNn4WSiPgA8HzghJTS1mb1mzZtYnJysvuNZarRaJRP2M3A\nxAqVW4CzW6irsbAwQ6PRGIgno9S67cAeWn8u9Xq7w/fc7PzxbTiPg8u9UJ+bm2NqaqqSfvomlJSB\n5IXA76SU6lX3018mgJXCWa3FOmnYtfpc6vV2h1mnjm8eB3PQF6EkIi4ApoGTgXsi4rDyrh0ppYXq\nOpMkSZ3SL5++OR14IPB/gdsW/bykwp4kSVIH9cVMSUqpX8KTJElaJf/YS5KkLBhKJElSFgwlkiQp\nC4YSSZKUBUOJJEnKgqFEkiRlwVAiSZKyYCiRJElZMJRIkqQsGEokSVIWDCWSJCkLhhJJkpQFQ4kk\nScqCoUSSJGXBUCJJkrKwtuoGeumKK67gtttua1r38Ic/nBNOOKEHHa1evV6n0WisWFOr1bqy7Wbr\n7dZ2JfVWK8/lsbExxsfHm9a1cswC2LVrF+vWretIb+o/QxNKrr/+ek488URSSk1rI4LrrruOJzzh\nCT3orH31ep0NGyZYWNjZ4y1vBdYwMzPT4+1K6q3Wn+sjI+uZn6+tGEzaO2YdBOxuuVMNlqEJJXff\nfXcZSL4J/JcVKn9ASsdx11139aiz9jUajfLJvRmYWKFyC3B2B7e8HdhTwXYl9Varz/UaCwszNBqN\nFUNJ+8esZnWLazVIhiaU/MohwH9qcn+/mAAmV7i/W9ObVW1XUm81e653en21FusW12qQeKKrJEnK\ngqFEkiRlwVAiSZKyYCiRJElZMJRIkqQsGEokSVIWDCWSJCkLhhJJkpQFQ4kkScqCoUSSJGXBUCJJ\nkrJgKJEkSVkwlEiSpCwYSiRJUhb6KpRExJ9GxE0RcW9EfCsinlx1T9WbrbqBHrqk6gZ65BtVN9Aj\nw/K7OxzjnJ0djnEOz3GoGn0TSiLipcD7gLcCTwKuAy6NiLFKG6vcsBwIAC6tuoEe+WbVDfTIsPzu\nDsc4hyeUDMtxqBp9E0qAjcCHU0qfSCndAJwO7AROq7YtSZLUCX0RSiLiYGAK+NreZSmlBHwVOL6q\nviRJUuesrbqBFo0BBwHblizfBmxob1XXA/etcP9N7a1OkiR1RL+EknaNANRqtV8u2LZtGwcfvI77\n7ju16YPXrr0f8/Pz3HzzzU1r16xZw549e3pad9NNe4PTFuAW4FP7qbxyUV1tPzX9VLeN/Y81h/46\nVXdnh9fXjR47Ubf4dzfH/jpVt9xztNPbLY4JW7Zs2ee492tV+xw7OrvdW265hU99avnnZ+e3205t\np+uK18Yr/T/3u0VjG+n1tqN4FyRv5ds3O4HfSyldvGj5x4HRlNIpS+pfxsp/vSRJ0spenlL6dC83\n2BczJSml+yLiauBZwMUAERHl7fcv85BLgZcDNwMLPWpTkqRBMAIcTgUfNeqLmRKAiHgJ8HGKT91c\nRfFpnN8HHpdS+o8KW5MkSR3QFzMlACmli8prkrwDOAy4FjjJQCJJ0mDom5kSSZI02PriOiWSJGnw\nGUokSVIWsgwl7X7xXkQ8PSKujoiFiPhBRPyPZWr+e0TUynVeFxHPO9DtHqgqxhkRJ0TExRFxa0Ts\niYiTOz2uZXqqYpxnRcRVEXFXRGyLiH+IiMd2emzL9FXFWE8vl+8of74REb/b6bEt2WYlz9FFtW8s\nf3/P7cR4VthOFfvzreXYFv9c3+mxLdlmVcfcR0TEJyOiERE7y7rJTo5tyfaq2J83LbM/90TEX3d6\nfIu2WcU410TEOyPixnJf/igi3tJ28ymlrH6Al1J8jPeVwOOAD1NcTWpsP/WHAz8DzqG4uuufUlyy\n9TmLan6rXPb6suYdwC7g8avdbh+P83fL5S8EdgMnD+j+3AK8ApgAngD8E8VHxO8/gGP9r+V+/Q3g\nSOAvypqJQRrnotonAzcC1wDnDuD+fCvwXeAhwEPLnwcN4DgPpbj62kcpvkbk0cCzgccM2DgfvGg/\nPpTiUha7gRMGbJxvAu6gOBaNAy8G7gLObKv/bv2iH8B/6LeA8xfdDopLIr5hP/XvBb67ZNkssGXR\n7c8AFy+p+SZwwWq326/jXHLfHrofSiofZ3n/WDne3x70sZY1PwFeNWjjBB4AzAPPBC6ju6GkqmPR\nW4G5bo0ro3G+B7h80Me5zHrPA34waOMEvgh8ZEnN3wOfaKf/rN6+idV98d5vlvcvdumS+uNXqlnl\ndletqnH2WmbjPBRI/Ooa7h2Vy1jLKdRTgfUUB42OymCcHwS+mFL6enudtyeDcR4VxVus/xYRmyPi\nUW0OoSUVj/MFwHci4qIo3mKdi4hXtz+K5jLYn4v7eDnwf1rtvR0Vj/MbwLMi4qiyl2OAp1HMWrcs\nq1DCyl+897D9POZh+6l/YESsa1Kzd52r2e6BqGqcvZbFOCMiKF6dXJFS6tZ785WONSKOjoi7KaZU\nLwBOSSnd0NYIWlPZOMuwdSxwVvttt63K/fkt4A+AkyguFvkY4J8j4pA2+m9VleM8AvgTipmv5wIf\nAt4fEa9oZwAtyuJYBJwCjAIXttDzalQ5zvcAfwfcEBE/B64GzkspfaadAfTNxdOkA3AB8HiK1D6o\nbgCOoTjg/T7wiYg4sUvBpOfKmYLzgGenlFb6mu++l1JafGnvf42Iq4B/B14CfKyarrpiDXBVSuns\n8vZ1EXE0RRD7ZHVtddVpwJdSSrdX3UgXvBR4GXAqcD3FC4jzI+K2lFLL+zO3UNKgOAHosCXLDwP2\ntxNv30/9XSmlXU1q9q5zNds9EFWNs9cqH2dEfAB4PsVJZVtbb71tlY41pfQLipM/Aa6JiKcAr6N4\nJdpJVY1zkuLEz7ly5guKV4QnRsSZwLpymrpTKv/d3SultCMifkBxEnOnVTnOrfz61/HWKE6Q7LTK\n92dEjFOcyPui1ttuW5XjPAd4d0rps+Xt70fE4RQzmy2HkqzevilfAe394j1gny/e+8Z+HvbNxfWl\n57Lv++nL1Txnb80qt7tqVY2z16oeZxlIXgg8I6VUb7f/dlQ91mWsAdY1qWlbheP8KsWnqI6lmBE6\nBvgOsBk4psOBJKv9GREPoAgkHQ/VFY/zSopPciy2gWJWqKMy2Z+nUbzl0dY5Fu2oeJzrKQLRYnto\nN2d06wzgAzhz+CXATvb9ONNPgIeU978buHBR/eHA3RRnEG8AzgB+TjHNu7fmeIr32vd+nOltFB+Z\nenyr2x2gcR5CcUA/tvyF+bPy9qMGbJwXAD8FTqBI9Ht/Rgbwd/dd5TgfDRxdbucXwDMHaZzL9NHt\nT99UtT//Cjix3J+/BXyF4o/ZgwdsnMeVNWdRfJz9ZeV6Tx2kcZZ1QXFJgr/s1u9r1eOkeGuxTjEz\n/WiK82fuAN7VVv/d/g9a5X/qGeUOvJciiR23ZOBfX1J/IkU6vBf4IfCKZdb5exTvu99LcQ2Ak9rZ\n7qCME/gdijCye8nP3w7YOJcb427glQO4Tz9K8dbNvRTTqV+mS4GkynEuU/91uhhKKtyfsxQf4byX\n4iD/abp07Y6q9yfFH7DvUvwR/T5w2oCO8zkUx58juzm+in9vDwHOpbj2zD3let4OrG2nd7+QT5Ik\nZSGrc0okSdLwMpRIkqQsGEokSVIWDCWSJCkLhhJJkpQFQ4kkScqCoUSSJGXBUCJJUgUi4k0RcWVE\n3BMRd7b4mI9FxJ4lP1uW1PxRRFwWETvK+x+4wvruFxHXlnVPPNAxHShDiSRJXVKGg1fu5+6DgYuA\nD7W52i9RfG3Gw8qf6SX337+s+Uug2RVSz6G4gnAWV1I1lEjqqkWv7HZHxM8j4saIeG9ErFtUsyci\nTq6yT6nXUkpvTymdD3yvzYfuSin9R0rpjvJnx5L1vj+ldA7w7ZVWEhHPo7gE/v+i+H6eyhlKJPXC\nlyhe0T2G4ksg/5jiS70kte/pEbEtIm6IiAsi4kHtriAiDgP+Bpih+D6bLBhKJPXC3ld2t6aULqb4\n5tvnVN2U1Ie+RPENwM8E3kDxJatbIqLdmY6PAReklK7pcH8HZG3VDUgaLhFxNPA0im8xlQZKRJwF\nvGnRovsDvxkRHyxvJ+DxKaVbVrP+lNJFi25+PyK+B/wb8HTgshZ7fC3wAOC9exetppduMJRI6oUX\nRMTdFMecdRRf435GtS1JXfEh4O8W3f408PfA5xctu61TG0sp3RQRDeBIWgwlwDOA44FdSyZYvhMR\nn0opvapT/bXLUCKpF74OnE7x6mwj8IuU0j9W25LUeSml7cD2vbcj4l7gjpTSjd3YXkQ8EngwsLWN\nh/1P4M2Lbj8CuBR4CXBV57prn6FEUi/ck1K6CSAi/hC4LiJOSyn9bcV9SZWJiEcBDwIeDRwUEceU\nd/0opXRPWXMD8OcppS9ExCHAW4HPAbdTzI68F/gBRajYu969Hxc+iuKtmSeWM5X1lNJPl751FBH3\nlHU3ppQ6NouzGp7oKqmnUkoJeBfwF4s/FiwNqJWu//EOYI4iaDyg/PccMLWo5ihgtPz3buCJwBeA\neeAjwL8C5lhhAAAApElEQVQAJ6aU7lv0mNOBa4APl9u/vFzvC1bZZ89EcXyQpO6IiI8BoymlFy9a\ndhDFia6bUkrnRsQe4EXlJ3MkDSlnSiT1XEppN/AB4A0RsZ5MXqVJqpYzJZIkKQvOlEiSpCwYSiRJ\nUhYMJZIkKQuGEkmSlAVDiSRJyoKhRJIkZcFQIkmSsmAokSRJWTCUSJKkLBhKJElSFgwlkiQpC4YS\nSZKUhf8PGAjMMnT1YmYAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQ8AAAMSCAYAAADEITLQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAXEQAAFxEByibzPwAAIABJREFUeJzs3XuUZWdd5+HvL+kmMeEiIbACtIr0iEjERFREIKwJN9EA\nkoAEFQhoRMeoBITYoA6DwBg1QlDRiaBBUBmIQIJcXA4EEIZLQOSWoAGMkuZ+cyAQAoTf/HFOS9m8\nVXVOVZ2qTvXzrHXWPufsd7/7rV4LFuvD3mdXdwcAAAAAYH+HbPUCAAAAAIADk3gIAAAAAAyJhwAA\nAADAkHgIAAAAAAyJhwAAAADAkHgIAAAAAAyJhwAAAADAkHgIAAAAAAyJhwAAAADAkHgIAAAAAAyJ\nhwAAAADAkHgIAAAAAAyJhwAAAADAkHgIAAAAAAyJhwAAAADAkHgIAAAAAAzt2OoFsH5V9bEkRyS5\ncqvXAgAAAMCW+5YkX+zuY9Y7UXX3BqyHrVRVnzvssMNusHv37q1eCgAAAABb7IMf/GCuueaaz3f3\nDdc7lysPt4crd+/efbtLL710q9cBAAAAwBY79thjc9lll23IHap+8xAAAAAAGBIPAQAAAIAh8RAA\nAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh\n8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAA\nAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIP\nAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGNqx1QsAAGDr7Dp/z6ac\nZ+8jz96U8wAAsLFceQgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMDQ\nto+HVXVIVR2/1esYqaodVXVyVR211WsBAAAAgP1t23g4DXOnJXlfknNXGHfHquoZX3+zxrX85Wi+\nJF9J8pju/sza/koAAAAAWJwdW72AjVZVO5OcluQJSW49/fqjKxxyxhzTzx0Pq2p3klNXGHLOvHMC\nAAAAwGbYdvEwyUlJ3p7kjknem+SY5QZW1dFJTskkNF6U5LPLDH1+khOTvHQN69mT5IIkTx7su7q7\n/20NcwIAAADAwm27eNjdF+57X1WXZ4V4mOT0JHu6+1nLDaiqGyY5IcnruvuT86ylqm6Z5KeSHN/d\nl89zLAAAAABstW0XD/fTq+x/TXe/bZUxD0hyWJIXreH8j09yZZJdVfWx7v7cGuYAAAAAgC2xbR+Y\nMosZwmGSPCTJtZnzluXpLdE/m+Q2SV6T5DNV9eaq+pWqutHciwUAAACATXZQx8PVVNVRSe6ZNdyy\nnMkt0Ucs+Xxokjtl8oCUy6rq3huzSgAAAABYDPFwZack2ZnJA0/m0t1nJzkykyc+PyTJXyb58nT3\nLZK8vKrutUHrBAAAAIANJx6u7NRMbll+yVoO7u4vdvcV3f3C7n5oJiFx3wNddiZ5cVXdYmOWCgAA\nAAAbSzxcRlXdLMmJWdsty0Pd/eHuPjnJ2dOvbpDkjDnWdOnolWT3RqwPAAAAAJYSD5f3oEx+p3Du\nW5Zn8MQkb52+P2EB8wMAAADAuu3Y6gUcwNZ1y/JKurur6rwkP5jkmDmOO3b0/fTqw9tt0PIAAAAA\nIIkrD4emv0N41ySv36hblgfeOd1etaD5AQAAAGBdxMOxB2fyb7OIW5b3uXq63bvAcwAAAADAmomH\nY/tuWX7xAs9x2+n2VQs8BwAAAACsmXi4n6r6tiR3ymJvWU6S05N8NMkLFngOAAAAAFiz7R4Pbzzd\n7pzjmFOn21VvWa6qH66qj1fVu6pq15Lv71ZVb66qF1bV8YPjHpHkHkke3t3/PsfaAAAAAGDTbNt4\nWFUnJtn3dOLjqur2Mx46z1OWz0hysyTfk8nvJO5zQiZXLz44ydur6hlVdZuqulVVPSXJk5Lcq7tf\nPeOaAAAAAGDTbbt4WFVnVtUVSS5Ocuj06yOTvLuqrqiqM1Y49r8kuUOSv+/uT8xwuuck+XSSy5Jc\nuOT7pyd5WpJLk3wpk8j4uiR/nMkDUo7t7jfO83cBAAAAwGbbsdUL2GjdfW6Sc9d47AeS1BzjX5bk\n6MH3Vyf59ekLAAAAAK6Ttt2VhwAAAADAxhAPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIP\nAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAA\nGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAA\nAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh\n8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAA\nAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIP\nAQAAAIChHVu9AABge9p1/p5NOc/eR569KecBAICDkSsPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAA\nAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh\n8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAA\nAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGBIPAQAAAIAh8RAAAAAAGNr28bCqDqmq4zdgjhOq6rYb\ntS4AAAAAONBt23hYVTuq6rQk70ty7ozHPK2qev9XkmuTPC/J+9ewjptW1e9U1Xuq6p1V9f6quqiq\nTph3LgAAAADYTNsuHlbVzqo6Pck/J3luktvMeNyNkpyxwpBndPe1c67l2CTvTnLfJPfr7uOTfE+S\njyV5XVU9dp75AAAAAGAz7djqBSzASUnenuSOSd6b5JgZj/vFTELfowb7vpLkX+ZZRFUdk+SVSW6W\n5J7d/a9J0t1XV9XPJ/m+JOdU1RXd/dJ55gYAAACAzbDt4mF3X7jvfVVdnhniYVUdkeTRSX6yu/9p\ng5by1CTfmuQV3X3pfmvsqjonyQuS/H5V/W13X71B5wUAAACADbHtblveT8847lGZhNSdVXWT9Z60\nqm6e5GHTjxctM+zlmfyW4q4kP7necwIAAADARtvu8XBVVXW9JL+S5MaZ3Gb8yemDTZ40vfV4Le6T\n5HrT95eMBnT3VUkum348dY3nAQAAAICFOejjYZJTMrn6b59KclyS/5Hkn6rqoWuY8y5L3n9ghXH7\n9t2pqmoN5wEAAACAhTno42F3/+8khyf5liQnJzkvyVXT3TdK8vyqesSc0+6ebj/f3V9YYdxHp9sb\nTM8PAAAAAAeMgz4eJkl3X9Pde7v7wu7++UxC3nOWDHl2VX3vHFMeNd2uFA7337/u31oEAAAAgI20\n7Z62vBG6+9+T/GxVvT3J/8rk3+lxSX5qximOnG6/vMq4Lw2OWVZVXbrMrt3LfA8AAAAAa+bKwxV0\n93lJLph+PGGOQ6+ebneuMm7p/i/OMT8AAAAALJwrD1f3x0l+PMk8T17+xHR7xCrjlu7/1GqTdvex\no++nVyTebralAQAAAMBsXHm4undOt1etOOo/u3y6vVFVHb7CuH1B8qokV867MAAAAABYJPFwdftu\nQd47xzFvXPL+1iuM27fvzd3dc60KAAAAABZMPFzdbafbV81xzN8muWb6/gdGA6rqsCTfM/140dqW\nBgAAAACLIx6u7vQkX8jkqcsz6e5PJ3nR9OP9lxn2I0mul+T/JXneehYIAAAAAIuw3ePhjafb4VOP\nq+q7quoNVXVRVZ042H+PJI9K8gvdfcVg/2lV9dmqen1V3WC/3U/MJAzer6puMzj946fbJ3T352f9\ngwAAAABgs2zbeDiNgfueTnxcVd1+MOwOSe6aydWBF1fV86vq9lV1i6o6M8lzkzyku5e7MvBXknxz\nkrsludfSHd29N8nJmVy1+NdVdavpug6rqmcmuXOSZ3T3H6/9rwQAAACAxdl28bCqzqyqK5JcnOTQ\n6ddHJnl3VV1RVWcsGf6CJGcleUeSzyd5SJLXJPmLJDuSHNfdL1nhdM+aHveWJK/df2d3vzbJcdM5\nX15V70jyj5k8KOWHu/uxa/5DAQAAAGDBdmz1AjZad5+b5NwZx34tye9OX2s513lJzltlzIeSPGYt\n8wMAAADAVtp2Vx4CAAAAABtDPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRD\nAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAA\nhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQA\nAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBox1YvAACA7W/X+Xs25Tx7H3n2ppwHAOBg4cpDAAAA\nAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRD\nAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAA\nhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQA\nAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBI\nPAQAAAAAhsRDAAAAAGBIPAQAAAAAhsRDAAAAAGBox1YvAAAArot2nb9nU86z95Fnb8p5AABGXHkI\nAAAAAAyJhwAAAADAkHgIAAAAAAyJhwAAAADAkHgIAAAAAAyJhwAAAADAkHgIAAAAAAxt+3hYVYdU\n1fFbvY6RqtpRVSdX1VFbvRYAAAAA2N+2jYfTMHdakvclOXeG8Xeuqguq6iNV9eWq+lRVvaqqTtqA\ntfxlVfX+ryRfSfKY7v7Mes8BAAAAABtt28XDqtpZVacn+eckz01ymxmOeUySNyR5UJKbJ9mZ5CZJ\n7pPk5VX1jHWsZ3eSU1cYcs5a5wYAAACARdp28TDJSUnenuSOST622uCqumeS307yh9NjbpnkDkme\nluTL02FnVtVPrXE9e5JckOS7Bq9bdffL1jgvAAAAACzUjq1ewEbr7gv3va+qy5Mcs8ohv5vk57v7\nz5Z895Ek/1hVb0ryiul3v5TkL+dZS1XdMslPJTm+uy+f51gAAAAA2Grb8crDpXqlnVV1XJJP7xcO\nv35w9yuT/P304+3XcP7HJ7kyya6quuEajgcAAACALbPd4+FqbpLkN1YZc8l0+4V5Jq6qo5P8bCa/\nufiaJJ+pqjdX1a9U1Y3mXikAAAAAbLKDOh5298Xd/eZVhh063V465/SnJzliv3nulMkDUi6rqnvP\nOR8AAAAAbKqDOh7O6FbT7fPmOai7z05yZJJbJ3lIJr+XuO8BLLfI5CnO99qgNQIAAADAhtt2D0zZ\nSFV1WJITk1yR5AXzHt/dX5wee0WSF1bVr2byVOcHJNmZ5MVVddvu/siM61nu6sfd864NAAAAAFbj\nysOVPSjJjZKc3t1fWu9k3f3h7j45ydnTr26Q5Iz1zgsAAAAAi+DKw2VU1fWTPDXJk7v74g2e/omZ\nXNH4g0lOmPWg7j529P30isTbbczSAAAAAGDClYfL++Mkr+3uJ2/0xN3dSc6bfjxmo+cHAAAAgI3g\nysOBqvqNJIcnecQCT/PO6faqBZ4DAAAAANZMPNxPVZ2Z5PuTPKi7r13gqa6ebvcu8BwAAAAAsGbi\n4RJVdUaSeyc5ubu/suDT3Xa6fdWCzwMAAAAAa+I3D6eq6ueSPCDJKd19zTJjfqSq7r9Bpzw9yUeT\nvGCD5gMAAACADbXdrzy88XS7c6VBVfUzSc5McmqSXVW1/5DrJblzkrOSHLvkuB9O8rwkH0tyUnfv\nnX5/tyS/neRDSX6ru9+5dLKqekSSeyS5X3f/+1r+MAAAAABYtG0bD6vqxHw99B1XVbfv7vcMxp2W\n5E8yuQrzXatM+z/3u535jCQ3m74enOTp0+9PSHKn6euBVfUHmTy9+ctJfibJQ5Pcq7vfuJa/DQAA\nAAA2w7a7bbmqzqyqK5JcnOTQ6ddHJnl3VV0x/V3DfWPvm+TPMtu/w9cyiYxLPSfJp5NcluTCJd8/\nPcnTklya5EuZRMbXZRIQ9yY5VjgEAAAA4EC37a487O5zk5w749iX5+uBcS3nelmSowffX53k16cv\nAAAAALhO2nZXHgIAAAAAG0M8BAAAAACGxEMAAAAAYEg8BAAAAACGxEMAAAAAYEg8BAAAAACGxEMA\nAAAAYGjHVi8AAEh2nb9nq5cAAADwDVx5CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAA\nAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4\nCAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAA\nwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcA\nAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAM\n7djqBQDAgWzX+Xu2egkAAABbxpWHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQ\neAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAA\nAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImH\nAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMDQto+HVXVIVR2/1esAAAAAgOuabRsP\nq2pHVZ2W5H1Jzp1h/M6q+uWqemtVvbOq/rmq3jSdYz3ruH5V/XpV/eN03vdX1aur6v7rmRcAAAAA\nFm3HVi9go1XVziSnJXlCkltPv/7oKsdcP8nfJbl9kgd092uqqpKcnuTPqup+SR7S3V+dcy03T/K6\nJDdMcp/ufldV7Ujya0kuqqpndveZ88wJAAAAAJtlO155eFKStye5Y5KPrTa4qg5NckGSH0pyVne/\nJkl64tlJnpnkgUnOmWcRVXVkklckuU2Sn+7ud03n/Wp3PznJS5M8uqrEQwAAAAAOSNsuHnb3hd39\nzu7+dJLLZzjkJ5LcJ8lnk/zpYP85Sb6W5Jeq6rg5lvKYJN+b5NLuftVg/+9Mt0+tqmPmmBcAAAAA\nNsW2i4f76RnG/Op0+6ru/vI3TND9kSRvy+Tf6nGznLSqDk/y6OnHi4YL635LJldGHpnkjFnmBQAA\nAIDNtN3j4Yqq6tuTfPf04yUrDN237wFVddgMU/9QkqNnmPdt0+2pM8wJAAAAAJvqoI6HSe6y5P0H\nVhi3b9/18/XYuJHzfkdV3WSGeQEAAABg0xzs8XD3kvcrPZF56b5jt3BeAAAAANg0O7Z6AVvsqCXv\nv7DCuKX7ZrlCcCHzVtWly+zavcz3AAAAALBmB3s8PHLJ+294WMoSX1rmmM2eFwA4COw6f89WLwEA\nAJKIh1cveb9zhXFL931xDfMuFxDnmre7h7c2T69IvN0M6wIAAACAmR3sv3n4iSXvj1hh3NJ9n9rC\neQEAAABg0xzs8fDyJe+PWWHc0n3v28J5AQAAAGDTHOzx8P8ueX/rFcbt23dVknfPMO8b55z3/d39\nyRnmBQAAAIBNc0DHw6r6mUXO3917k/zD9OMPrDD0jtPt33b3NTNM/ZYkH59j3otmmBMAAAAANtUB\nGw+r6npJfmETTvVH0+2PVtWhg3XcNMmdpx9/f5YJu/vaJH8y/Xj/0ZiqOj7Jtya5dskaAAAAAOCA\nsZCnLVfVW5LcbJ3THJ3kyHXOcePpdqUnKf95kkcl+cEkD09y/n77H5PJv9OLuvsNS3dU1Q8neV6S\njyU5aXol4z6/m+RhSe5QVSd292v3m/es6fb3uvuKGf8eAAAAANg0C4mHSc5L8qcbME+v9cCqOjHJ\nsdOPx1XV7bv7Pd9wgu5rq+rHk7wyyblV9a/7Ql9VPTTJ45O8NpPAuL8zMomkN0vy4CRPXzLv56vq\n/tN5n19VJ3X3u6rqkCSPS/ITSV6Y5NfX+jcCAAAAwCItKh7+03R7SZL3J/nqYMwNk9wzyYVJvrbf\nvsMzuRLw2+Y9cVWdmeTRSW615Osjk7y7qv41yTnd/aylx3T3lVX1Q0l+LsnvVVVl8m/z+UxunT6/\nu0d/w3MyuaX549O/4z/p7vdU1fcm+aVMAuJXk1wvySeSnNrdL5r37wMAAACAzbKoePhzSX6uu5+9\n0qCq+oUk393d3/DbhlV1eJL3znvi7j43yblrOO6qJL83fc16zMsyub16pTGfSvKk6QsAAAAArjMW\nFQ+/o7sfMcO4Zyf5QlW9pLtfvXRHd3+pqv7PQlYHAAAAAKxqUU9bXukBJf+hu7+S5CNJfnmZIU/d\nsBUBAAAAAHNZ1JWH16+qndM4uKyq2pnkmCzzVOXu/vAiFgcAAAAArG5RVx5ekuTMGcadmckDRI5Y\n0DoAAAAAgDVa1JWHT0/ytqo6MpOnG1+1dGdVHZXkrCSPS9JJ3rWgdQAAAAAAa7SQeNjd766qs5I8\nI8njqurtSfZOz3erJHdIcmiSyiQePm0R6wAAAAAA1m5RVx6mu59ZVZ9N8odJ7pZJJNynpturkzy6\nu1+xqHUAAAAAAGuzsHiYJN39vKr6myQ/k+TuSb41kysOP5LkDUn+tLuvXOQaAAAAAIC1WUg8rKpb\nJrlPkou7+4ok50xfAAAAAMB1xKKuPPy7JLdN8uYkd13QOQAAAACABTpkQfPeYrr9uwXNDwAAAAAs\n2KLi4QuTfDLJU2YZXFUvXtA6AAAAAIA1WlQ8fHSSdyS5x2oDq2pnkhMXtA4AAAAAYI0W9ZuHd0ny\nh0l+o6runeS9y4z7piQ/muRGC1oHAAAAALBGi4qHj03yI9P3qz0wpZL0gtYBAAAAAKzRum9brqrr\nD77+80yi4CwvAAAAAOAAtK54WFUPTvLZqvq1/Xa9LMnHktw7ye4k377M6zaZ/D4iAAAAAHCAWe9t\ny2clOTTJ4Uu/7O5rquqvuvvVM8zxB1X1q+tcBwAAAACwwdYbD2+b5C+SPGnpl1V1SZJ7zjHP3de5\nDgAAAABgg633Nw8/kuS07v7aft9Xd39ujnkuWOc6AAAAAIANtt54+C9JDht8P/PTk6vq8Ex+/xAA\nAAAAOICs97blVyR5R1W9MsnSKw1vUVX/fYbjj8zkluUj17kOAAAAAGCDrTcePiuT+PfYfOPVhk/6\nxuFDNTgWAAAAANhi67ptefpbh6ckOS3J65N8Jsm1mQTBWV8AAAAAwAFovb95mJ54fnffvbtv2t3X\nS/IP3X3Iaq8k10/ywLjyEAAAAAAOOOu9bXlduvuLSV5aVVds5ToAANgedp2/Z6uXAACwraz7ysNl\nPGXO8U9cyCoAAAAAgDVbSDzs7pfNOf6CRawDAAAAAFi7RV15CAAAAABcx4mHAAAAAMCQeAgAAAAA\nDImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgA\nAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQ\neAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAA\nAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADImHAAAAAMCQeAgAAAAADO3Y\n6gUAAFxX7Dp/z1YvAbaFzfzP0t5Hnr1p5wKA7ciVhwAAAADAkHgIAAAAAAyJhwAAAADAkHgIAAAA\nAAyJhwAAAADAkHgIAAAAAAyJhwAAAADAkHi4xarqVlV1n61eBwAAAADsTzycqqpLq6pneH2tqo6e\nc+57LTdfkg8m+cBi/ioAAAAAWDvxMElVnZjkdjMOf0t3f2rOU/zaCvsu6m7xEAAAAIADzo6tXsAB\n4heTvCLJbyX51yTXDsbcN8mzk1wwz8RVdeckx09f1+y3+2tJ/m3OtQIAAADApjjo42FV7UpydJJ7\ndvdXVhh3jySd5K/nPMWvJfnD7n7X2lcJAAAAAJvPbcvJV5I8bJVweESS+2Vyy/KVs05cVccn+dEk\nH66qW61znQAAAACwqQ76eNjdH+/uD60y7L5JjsyctywneeJ0+0dJrqiqD1XVs6rquHnXCQAAAACb\n7aCPhzM6NXPeslxVt0xyyn5ff0uSX0jyjqr6nao66G8bBwAAAODAJR6uoqpukMmtx2+d55bl7v5w\nksOT3CzJ3ZP8ZpK9092HJHl8Jg9gAQAAAIADkivfVnf/TCLgvLcsp7u/muSTSV6b5LVV9ZtJHp3k\nKUmOSPKIqnpHd//BLPNV1aXL7No979oAAAAAYDWuPFzdQzK5ZXnueLi/7r62u5+e5MQkn5t+fVZV\n1XrnBgAAAICN5srDFVTVNye5d+a8ZXk13X1JVT0hybOS7Ery7Un+ZYbjjl1mnZcmud1GrQ8AAAAA\nElceruaJyE2MAAAgAElEQVTkJNfLBlx1OPDcJFdP3x+zgPkBAAAAYF3Ew5U9ZLqd+SnLs+ruLyZ5\n//TjVRs9PwAAAACsl3i4jKo6OpOnJL+1uz+0oNPsu/LwwwuaHwAAAADWTDxc3gMz+U3IFy1i8qo6\nJMl3JLmkuz+9iHMAAAAAwHqIh8tb2C3LU6ckOSrJOQuaHwAAAADWRTwcqKqbJ7lbVrlluapuVFVv\nqKrPVtVDl3x/eFW9tKourqpHTa8yXHrcLZI8M8lzunsRD2MBAAAAgHUTD8celMm/zWph7x5J7prk\nm5OcteT7myb5sSQnJjkvyZuq6u5VddOqOjnJ65P8WZJHbfTCAQAAAGCj7NjqBRygTp1uV7tl+XVJ\n3pbkO5P8wb4vu/vKqjolyS8mOT7J9yV5SSZPV35tkpO6+/INXjMAAAAAbCjxcKC77zrjuM8kueMy\n+y5McuFGrgsAAAAANpPblgEAAACAIfEQAAAAABgSDwEAAACAIfEQAAAAABgSDwEAAACAIfEQAAAA\nABgSDwEAAACAoR1bvQAAAACAJNl1/p5NO9feR569aeeC6zJXHgIAAAAAQ+IhAAAAADAkHgIAAAAA\nQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIA\nAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAk\nHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAA\nADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+IhAAAAADAkHgIAAAAAQ+Ih\nAAAAADAkHgIAAAAAQzu2egEAAOux6/w9W70EAIBlbeb/Vtn7yLM37VwcPFx5CAAAAAAMiYcAAAAA\nwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcA\nAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAM\niYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAAAAAMiYcAAAAAwJB4CAAA\nAAAMiYdzqKqbVdUpW70OAAAAANgM4uF+quo7q+raqur9X0k+nuTf55yvquphVfX6qnpvVV1WVe+o\nqjOrasdi/goAAAAAWD/x6hs9IctH1Xd098WzTjSNgxckuV+Sh3f3X02/v2+SFyV5YFX9SHdftc41\nAwAAAMCGEw+XqKpvS3Jqkv+ayVWGS3WSvXNO+UdJHpDkd/aFwyTp7pdX1Z4kz0zyF9MxAAAAAHBA\nEQ//s7OSvLi7X7/eiarqLkl+Nsm1SZ4+GHJekt9M8mNVdb/u/pv1nhMAAAAANpLfPJyqqmOS/HSS\nf6mq227AlHum27d29/5XMaa7r0nyt9OPZ23A+QAAAABgQ4mHX/fYJIcn+Y0k76uqT1TVc6vqhHkn\nqqrDktxr+vGSFYbu23eXqto173kAAAAAYJHEw/xH7HvUfl/fNMlpSf5+GhGvP8eUP5DksOn7D6ww\nbt++SvKDc8wPAAAAAAsnHuY/biE+KsnRSe6SyS3H/7xkyGlJXlJVO2eccveS9x9dYdzSfcfOODcA\nAAAAbArxcKq7v9bdn+7uN3X3byf5riQPT/Lp6ZB7JTl7xumOWvL+CyuMW7rvJqtNWlWXjl75z7ES\nAAAAADaEpy0vo7s7yfOr6k1JXp/klkn+W1U9ubs/t8rhRy55/+UVxn1pmWMAWMGu8/esPghgm9jM\n/87b+8hZ/79yAOBgIR6uors/WFWPSvKKJN+U5PuTXLzKYVcveb/Src5L931xhrUMb22eXn14u9WO\nBwAAAIB5uG15Bt39yiT/Nv14zAyHfGLJ+yNWGLd036fmXRcAAAAALJJ4OLt3TbdXzTD28iXvV4qN\nS/e9b+4VAQAAAMACiYez23cr8t4Zxv5j/n979x5tW1nXDfz746KCeMNLZmgnlCQQ8ZJYZq+pCaam\n5i1NK+9pamnm3dSyUpHUJKyhpYYO39IUMd8KLVFJU1RCBIT0eEFILfGOKSC/948192C1nfvs29p7\nnb3P5zPGHPP2zGc+c3Me1trf/cw5r3wZysG7KDe974NraRQAAAAAbBTh4codmuSLSc5crmB3X5rk\nn4bV2+2i6FHD/KPdfdH6mgcAAAAAsyU8XIGq+skkRyZ5eXdfscLDXjXMf6aqDhypc58k9xhWX7n+\nVgIAAADAbAkPk1TVa6vqtKp6RlVdZdG+ayb5qySnJHnZon03qaqzqupLVfXz0/u6+z1J3prJG5V/\ne+S0j0xyvST/luRNs7saAAAAAJiNPT48rKp9kzw4yR2TvDjJWVV176q6wRAIvi/J6Ul+sbu/v+jw\nByQ5IskPJfmtkeofPRz/rKp68NQ575bkT5KcleRBI/UCAAAAwNztM+8GzFt3X1ZVxyR5WpLbJ7lp\nkjcm+VyS9yd5VHefscThJyd5bJIDk7x6pO6vD0HhI5L8dlU9K0knuSLJC5L8eXd/Z6YXBAAAAAAz\nsseHh0nS3aclOW0Nx+3M5EUquypzWSbB4g+EiwAAAACwO9vjb1sGAAAAAMYJDwEAAACAUcJDAAAA\nAGCU8BAAAAAAGCU8BAAAAABGCQ8BAAAAgFHCQwAAAABglPAQAAAAABglPAQAAAAARgkPAQAAAIBR\nwkMAAAAAYJTwEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8BAAAAABGCQ8B\nAAAAgFHCQwAAAABglPAQAAAAABglPAQAAAAARgkPAQAAAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAA\nAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8BAAAAABGCQ8BAAAAgFHCQwAAAABglPAQAAAAABgl\nPAQAAAAARgkPAQAAAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAA\nAAAAGCU8BAAAAABGCQ8BAAAAgFHCQwAAAABglPAQAAAAABglPAQAAAAARgkPAQAAAIBRwkMAAAAA\nYJTwEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8BAAAAABGCQ8BAAAAgFHC\nQwAAAABglPAQAAAAABglPAQAAAAARgkPAQAAAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAAAEbtM+8G\nwFIOet0zN+U8Fz7ixZtyHpiXzepLif4EsNVt5mfGZtlu1+Szdn222+8Yvuetz3b7/wNsFCMPAQAA\nAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8nLOq2lFV\nd593OwAAAABgMeHhlKq6XlW9qKrOqarvVNUlVXVmVT2nqg5YR713q6oem5LsTPLp2V0FAAAAAMzG\nPvNuwO6iqg5L8q4kP7Jo15HD9NCqukt3f2kN1T9nF/tO7m7hIQAAAAC7HeFhkqq6WpKTk3whyeOS\nnJ1k7yR3SPJ7SQ5J8hNJTkxy9CrrvkOSWw3T9xbtviLJ59fTdgAAAADYKMLDid9IckGSY7r78qnt\nO6vqHUk+kkmAeLeqOrS7z1tF3c9J8mfd/fHZNRcAAAAANp5nHk48JMljFgWHSZLu/kaSF01tOmKl\nlVbVrZLcI8lFVbVjnW0EAAAAgE21x4eHVbVPkrd192d2Uez0qeVLVlH9s4f5q5J8tqouqKoTqurI\n1bYTAAAAADbbHh8edvfl3X3sMsX2nlo+dyX1VtWPJLnfos03TvKbSc6oqmOH4BIAAAAAdkt7fHi4\nQjuG+fu7+3MrOaC7L0pytSQ3SHKXJH+Q5MJh915JnpbkNTNtJQAAAADMkJFvK/MLw/yPV3PQ8AzF\n/05yapJTq+oPkvx2khcm2T/Jw6vqjO4+fiX1VdU5S+y66WraBQAAAAArYeThMqrqgCQPTnJid5+y\nnrq6+/vd/bIkd07yzWHz06uq1tlMAAAAAJg5Iw+X9/wkFyR50qwq7O7Tq+pZSU5IclCSH0uyqxe2\nLBx3+Nj2YUTiYbNqHwAAAAAkRh7uUlUdneRBSe7R3d9crvwqvT7J/wzLN5xx3QAAAACwbsLDJVTV\nEUn+NMnRw8tPZqq7v5PkU8Pqt2ddPwAAAACsl/BwRFXdPMmbkjygu8/fwFMtjDyceTgJAAAAAOvl\nmYeLVNUhSd6a5GHdvdTbjWdxnr2SHJLk9O6+eKPOAwAAAABrZeThlKq6aZKTkjy8u89coswBVfXS\nGZzufkkOTHLcDOoCAAAAgJkTHg6qakeSdyV5SZKvV9XNFk2HVNVdk5yS5LThmGtV1WlV9bWqethU\nXVerqpOq6j1V9dhhlOH0uW6UyfMU/7K737JJlwgAAAAAq+K25SRVdZMkpybZkeTEZYp/Icn/G5bv\nmuSOw/LTk7xxWL5+kvskqSR3TvLIqnp2kk8M5Y9N8tokz5vNFQAAAADA7O3x4WFVXSPJezIJDlfi\n1d39/WH5vUk+kuTmSY5fKNDdX6iq+yV5YpJbJbltkrdl8nblU5Pcs7v/YxbtBwAAAICNsseHh939\nrSQ3W+OxX01y1BL73p7k7etoGgAAAADMlWceAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwS\nHgIAAAAAo4SHAAAAAMAo4SEAAAAAMGqfeTcAgO3joNc9c95NAIBtbTM/ay98xIs37Vzbje9EzMtm\n/dvz/4c9i5GHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgA\nAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAA\nMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjh\nIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAA\nAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIzaZ94NALa2\ng173zE05z4WPePGmnAcAgInN+p7H1uDfA/Owmf/u/M65NCMPAQAAAIBRwkMAAAAAYJTwEAAAAAAY\nJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8BAAAAABGCQ8BAAAAgFHCQwAAAABglPAQ\nAAAAABglPAQAAAAARgkPAQAAAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAA\nAGCU8BAAAAAAGCU8BAAAAABGCQ8BAAAAgFHCQwAAAABglPAQAAAAABglPAQAAAAARgkPAQAAAIBR\nwkMAAAAAYJTwcJGq+pmqeltVnVdVZ1XV+VV1XFVdfx113quq/qmqzq2qT1TVOVX1vKq6+izbDgAA\nAACzJDycUlVPS3JakguS3LK7b5nk3knuk+Tfq+rwNdT5yiR/n+Rfktyiu49I8qgkT0pyelXdaFbt\nBwAAAIBZEh4OquqhSY5Ncnp3P7m7L02S7j4/yQOT/HCSd1bVdVZR57MzCQnf3N0v7e4rhjo/lEmA\neFiSk6tq39leDQAAAACsn/AwSVVdI8nxw+pxi/d395lJ3p1kR5LnrrDOHUl+f1h96Uid70hyXpKf\nTPK4VTYZAAAAADac8HDisUmuk+TyJP+wRJm3D/PHV9UBK6jzqUn2SXJRd390iTInD/OnVVWttLEA\nAAAAsBmEhxP3HuZnd/d3lihz+jDfb6r8Sur8yC7KLNR54yQ/vYI6AQAAAGDT7PHh4fC8wdsNq5/e\nRdHpfbsM+qrqoCQ3mWWdAAAAALDZ9vjwMMmNMhlNmCRfXKpQd38zycKoxOXeunzTqeUl61y0b9Vv\ncgYAAACAjbTPvBuwGzhwavmSZcpekmT/JNedUZ3T+5arM1V1zhK7Dt25c2cOP3x75Y9f/vqXN+U8\nhx/395tynu3Kf6fd32b9NwIAAPYMm/X72Wb+LrPdfufcuXNnMnlM3roJD5OrTy1fukzZ744cs546\nvzu1vFydu3LF9773vUvOPffcL6yjjj3Wuf958bybsNUtjLTduZEn8d+JPcCm9CXYA+hLMBv6EszG\ntuxL2/H3s214TTfOlXfQrovwMPmfqeV9lym7sH+5H/5K65zet+x/0O7eXkML2RYWRsT69wnroy/B\nbOhLMBv6EsyGvsR24JmHyX9NLe+/TNmF/V+ZUZ3T+5arEwAAAAA2lfAwuTBXjvq74VKFqmq/JNcc\nVj+5TJ3/MbW8ZJ2L9i1XJwAAAABsqj0+POzuTvLBYfXgXRSd3veBZer8cpJPz7JOAAAAANhse3x4\nODh5mN+yqq6yRJmjhvmlSf5xFXXebhdlFur8cpIPraBOAAAAANg0wsOJNyT5dpKrJjlmiTL3GeZv\n7O6vraDOv0hyRZIdVXXEMnWe0N1XrLSxAAAAALAZanLXLlX1xCTHJ3lfd//con2HJTkryTeSHNnd\nFw7br5XknUlukeRJ3f3GRccdl+SpSU7s7l9ftO/oJKdk8rr2W3f3tzbiugAAAABgrYw8vNIJSV6R\n5E5VddzC7ctVdXCSv8skOLz/QnA4uGuSOya5dpKnj9T5nCRvTvJrVfWUqtprqPM2Sf46yQVJfklw\nCAAAAMDuyMjDRarqmCRPSrIjk+cbXjWTEYIv7+4vLCp7YJJ/SnLzJL/b3a8Zqa+SPCjJbyS5fpLL\nkuyb5G1JXtndF2/YxQAAAADAOggPAQAAAIBRblsGAAAAAEYJDwEAAACAUcJDAAAAAGCU8BC2sara\nq6putcHn2FFVd19h2cOqar+NbA9shO3Wl6pq/6r62ar6zap6QVVdda11wWpst74E87S79SfYqvQl\nWJ7wELahqtqnqn49ySeTvGIG9d2tqnpsSrIzyaeXOf7WVfXWJGcn+aE1tuHqVfXJqnrvWo6HtdhO\nfWn4YvzAqjolyeeS3C/Jh5O8sLu/t6YLghXa6n2pqvatqsdV1alV9YmqOqeqLqyqN1fVbdd7PbAa\nu0N/qomHVdV7quqrVXVpVX2hqk6sqlus4Jw/U1Vvq6rzquqsqjq/qo6rquuv93pgpbZ6X6qq61XV\ni4bPpO9U1SVVdWZVPaeqDljv9cA04SFsI8MvN49Ocn6S1yf58RlV/Zxd7Du5u0d/Sauq21XVO5Kc\nkUlQUetow18kOXQdx8OKbbe+VFWHJvlQkjcn+XKSw7v7Kd39se7+/mrqgtXYDn2pqm6QSf95cpKn\ndPcR3X14klsl2S/Jh6vqoau9AFit3aU/VdXemXyevCHJnZNcJ8m+SQ5K8qtJPlpVD1qqwqp6WpLT\nklyQ5Jbdfcsk905ynyT/XlWHr+NaYFnboS9V1WFJzkzyzCSHZfJ5tH+SI5P8YZLTq+qG67oamLLP\nvBsAzNQ9k3w0yVGZjKZY9wdGVd0hk1+QbpVk8eikK5J8fonjfiLJjZI8NMlLkjx+HW14dJIHr/V4\nWINt05eq6pgkf5fkgEyCj3X/ZR1WYTv0pVcluU2Sn+3uMxc2dvdXqupXMhlN8uqqOqW7v7Kaa4FV\n2l360wuS3CXJU5L8S5KvJrlZJn3ql5NcNcmJVfXR7v7MovM9NMmxST7c3U9e2N7d51fVA5N8LMk7\nq+o23f219V4fLGFL96WqulqSk5N8IcnjhmvYO8kdkvxekkOS/ESSE5Mcvd5rg0R4CNtKd799Ybmq\n/iMz+CDM5C9of9bdH19lWz6ZyS0AqaqPZI3hYVUdkeTpmYw8fOJa6oDV2i59afgie3ImXz6fJzhk\ns231vlRV+ye577D67yN1fquqPpzkXknulOStq2kTrMbu0J+GkbhPSPJ/uvvsqV0XJXlfVX0+k+9t\nV03y2ExGRS0ce40kxw+rxy2uu7vPrKp3JzkmyXOTPHX1lwPL2+p9KclvZDJy95juvnxq+85hdP1H\nMgkQ71ZVh3b3eWu9KFjgtmXYvnq9FdTkwcH3SHJRVe3Y7LZU1dWTvCnJI5NcvI7zw3psyb5UVQcl\nOSmTL50fTPJH6zgvzMJW7EsHZDKaI1n+trb/WXtzYNXm1Z8ekuRli8KOab+fK/vCEYv2PTaT2zIv\nT/IPSxy/EOo83jPb2CRbsS89JMljFgWHSZLu/kaSF01tWnwsrInwENiVZw/zVyX5bFVdUFUnVNWR\nm3T+v0jyf7v7XzfpfLBR5tGXXpTkBsPys7r7ig08F2yWTe1L3f1fmdxGliTPW7x/uHXs9kkuyWSk\nB2wla+lPVyR55VI7u/s7Sc4ZVi9ZtPvew/zsodyY04f5flPlYXe3aX2pqvZJ8rbFjwRY5PSp5cX9\nENZEeAiMqqofyeRh8tNunOQ3k5xRVccOH14bdf5HZfIGzBctVxZ2Z/PoS8MLUn5lWD2vu98/y/ph\nHub4uXTCML9vVR2/6BwvTXLdJL/V3f+9AeeGDbHW/tTdx3f3N5epfmG07kLwkaraN8nthtVdvQ19\net9PL3MemLvN7kvdfXl3H7vC45Lk3GXKwooID4FR3X1RkqtlMnLpLkn+IMmFw+69kjwtyWs24txV\ndYtM/oL3sO5e960EME9z6kv3z5Wf8Z+sqqdV1UlV9b6q+lRVvaeqnjo8GgC2hDl+Lv1hkn8elp+Y\n5ANVdZeqekuSn09y5+5+7QacFzbMBvenH83kVtA3TG27USajCZPki7to1zeTLIxK9NZldntz6Esr\nsWOYv7+7P7fGc8P/IjwEljT8Zeu/u/vU7n5+Jh9ET82VX+oeXlVPmuU5hzDjb5I8erhdDLa8OfSl\nY6aWdyT5tyT37+47Jbl7Js/QOS6Tv4j/6AzPCxtqHp9L3X1pkl/MlS9DOSqTt2LeIslPGdnLVrUR\n/amqbp/kwCR/u+i2ygOnlpe7jXJh/3VXc26Yl03uSyvxC8P8j1d5HCxJeAisWHd/v7tfluTOSRaG\n2T+9qmqGp/nzJG/t7lNnWCfsVjahL+0Y5pcluWd3/+vCMw+7e2cmb489O5MXQLx5xn0YNs0mfS6l\nu7+b5NeSnD+1+dAkH6uq28zyXDAvM+pPj07ylSS/tWj79Ej3S5ep47sjx8CWscF9aZeGFw09OMmJ\n3X3Kao6FXREeAqvW3acnedawelCSH5tFvcNzDm+SyXB/2PY2qi/lyhelnN3dP3B7WHdfluRPh9Wj\nMrnNBrasDexLSZKqunkmD6D/WJI7Jjlr2HXTJP9aVb+w1LGw1ay1Pw0vh3hokl8ZeQbo9NvI912m\nqoX9S71UBbaEDepLy3l+kguSzHQUPggPgbV6fa78InjD9VY2POfw9zL5kPz+euuDLeT1mWFfGiz0\noV3dGjb9FvM7zei8ME+vz+z7Uqrqtpnc+n9RJs/i/UCSn0xybCbPotovyd9V1cGzOifsBl6fVfSn\nqrpGkjcleXx3v3ukyPSjaPZfprqF/V9Z7rywBbw+s+1Luzr26CQPSnKPFbyMBVZFeAisSXd/J8mn\nhtVvz6DKpyS5VpL3VNV5i6dMHlKfJEdNbT9xBueFudqAvpQkXxrmu7rl64Kp5R+a0XlhbjaiL1XV\nXknemOQ6SZ6x8BKv7r6su5+R5DFD0f2TPHcW54TdwWr60/Am5TcneU13//USxS7MlSMJlwxQqmq/\nJNccVj+54gbDbmoD+tJSxx6RyV0lRw8vcYGZ+oFXhgOswsJf0WbxAbV3kmsP067sl+Tmw/KXdlUQ\ntpBZ9qUkOSPJwZm8pW8pl4+cH7a6Wfeln8rk2Ybf7u4zF+/s7r8ablm+fybPtoLtZNn+VFX7ZDJK\n6r3d/YqlynV3V9UHM3lD+a5G6U7v+8Aq2gq7s5n1pSWOvflw7AO6+/zlysNaGHkIrMkwGuOQJKd3\n98Xrra+7H97dtdSU5PeHou+b2v5z6z0vzNus+9LgncP8wKrasUSZH55aPm9G54W52aC+dJNh/t1d\nlFl4C/MP76IMbCkr6U9VtXeSNyT5RHe/ZAXVnjzMb1lVV1mizFHD/NIk/7iKJsNuaYP60vSxh2Ty\nOfSr3X3OetsLSxEeAmt1vyQHJjlu3g2BLW4j+tJbcuWzou67RJnDhvmlSd4xw3PDvGxEX7pwmF+v\nqpYaGb8wouSzMzwvzNsu+9MQiPx1ks9095IvuquqF1bV9YbVN2Ry2+ZVkxyzxCH3GeZv7O6vraXh\nsJvZiL60sO2mSU5K8vCx0fFDmQOq6qVrbTwsEB7C9nWdYb7kG+2q6lpVdVpVfa2qHja1/WpVdVJV\nvaeqHjt8qE0fd6NMnqnxl939llW0ZZftgd3UlutLw/N1njms/k5VXXOk2COH+Z9093+u4NywXluu\nLyX5YJKzh+UnLFHm6GH+lys4L8zK3PrTUP61Sa6W5HVVdbOR6dZV9eIkh3X3V5Kku7+RK988+9SR\neg9Lcq8kX83kjbGwGbZcXxqO3ZHkXUlekuTrI8cdUlV3TXJKktPW9qOBKd1tMpm22ZTJc5cuz+Qt\nkN9OcsQS5e43lOkkZ01tv3GSK6b2fSjJXZJcP8kvZfLQ3xcmqRW05VqZPH9toa7nJ9lrDdf0guH4\n987752vac6at3pcy+St3Jzk1yUFT2x8xtOuvkuw975+zaftPW7kvZXK72WczGWH4awtlM/kj/BMz\nebv5G/Ql02ZN8+xPSSrJa6aOXW6628jxLx/2HZfkKsP2g5Ocm+TiJD8375+xac+YtmpfyuSRGp9d\n4XEX+HwyzWKaewNMJtPspiRP3sUHyWeTPGFR+QOTnJ7kG0kes2jffZP8cya3Pl6W5OtJPpLk2CQ/\nvkdTcrsAAAQqSURBVIK23DST0RrfHWnLxUn+eZXX9oIID02bNG2nvpTJqKiTknwuycczCU3ekeSe\n8/45m7b/tF36UpJrZDJi6qNJPp/kY0nOz+QZbr8475+zac+Ydof+lMkop5WGHZ/KEoF+Jrctv3Po\nk2ckOSfJy5LceN4/Z9P2n7ZyXxo+jz69imOfO++ft2l7TAv/AAEAAAAA/hfPPAQAAAAARgkPAQAA\nAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8BAAAAABG\nCQ8BAAAAgFHCQwAAAABglPAQAAAAABglPAQAAAAARgkPAQDY7VTV3avqb6vqK1XVI9P3q+prVXVe\nVf1NVT2sqvYbqedaVfXxqrp4pI4rqmpnVT1vHtcIALAVVHfPuw0AADCqqm6X5PSpTfdN8r4k+yc5\nJMk9kzw+yQFJLkzyqO5+10g9leSEoWySXJbkyO7+5Ma1HgBg6xMeAgCw26qqqyb57tSmvXrRF9iq\nOjTJvyW5diah4E9398dG6rpXkr8fVs/o7ttuTKsBALYPty0DALDb6u7vLVr/gb98d/d5SV4xrO6b\n5HeWqO7bU8vfmkkDAQC2OeEhAADbwfStzUfOrRUAANuM8BAAgO3gKlPLNbdWAABsM8JDAAC2gztM\nLX9obq0AANhmhIcAAGxpVXWrJE8YVr+e5I/n2BwAgG1FeAgAwJZTVXtX1W2r6uVJPpjk6pm8cfln\nu3vnfFsHALB97DPvBgAAwEpV1YeTXCfJwUn2TnJxkucneXd3nznPtgEAbEdGHgIAsGV09+2THJXk\ngmHTdZN8UXAIALAxhIcAAGwp3f31JL+c5NJh06uH5x4CADBjwkMAALac7v5Ikt8dVvdLclJVHTjH\nJgEAbEvCQwAAtqTuPj7JW4fVHUn+pqr2nl+LAAC2H+EhAABb2aOSfGZYvluSP5pjWwAAth3hIQAA\nu62q2uX31e7+RpIHJvnesOkZVfWADW8YAMAeQngIAMDu7NrTK1V1jcUFuvuMJL8ztel1VXXYSF3X\nWmIZAIAlCA8BANid3W/R+j3HCnX3q5K8eVg9IMk/VtUtFvYPz0KcHpF4i6q69SwbCgCwHVV3z7sN\nAADwv1TVQ5L8YZKDR3Z/LskJ3X3comOukeRjSQ4ZNnWSzyc5cFhePNqwh7pe190vnFXbAQC2E+Eh\nAAAAADDKbcsAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAA\nAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAw\nSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4CAAAAAKP+Pxf6C+QvyD81\nAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf37b2a90>"
       ]
      },
-     "execution_count": 42,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -903,29 +1101,25 @@
     "plt.hist(train['RI'],bins=40)\n",
     "plt.xlabel('RI')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    \n",
-    "    "
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiAAAAF5CAYAAACm4JG+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAH7RJREFUeJzt3Wt0JGd95/HvfzyOtWMWeYNYYy4CjINQAhgkAwvE4R4f\nEmIg2RAatGGXECCGmBUvMJcYQkhOwFkjYLmEDWexzWBxYLnY7E7GXMNyJyAMBNoKWWzamMHZwh4R\nPJaxPc++6J5FktWtVqv7qa7W93OOzoyeerrq//TTl5+qq7oipYQkSVJOe8ouQJIk7T4GEEmSlJ0B\nRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlZwCRJEnZGUAkSVJ2BhBJkpTdUASQiDgzIi6PiOsi\n4mhEnL1Jn+mIuCwiDkfETyPiyxFxzzLqlSRJOzMUAQQ4EbgSOAe4w8VpIuJ+wGeB7wC/BjwIeB2w\nmrFGSZLUJzFsF6OLiKPA01JKl69pWwR+llJ6TnmVSZKkfhmWPSBtRUQAvwl8NyIORsT1EfGliHhq\n2bVJkqTeDH0AAf4tcCfgPOAA8CTgw8CHIuLMMguTJEm92Vt2AV04FpI+klJ6S+v/34yIRwEvpHls\nyDoRcRfgLOAaPE5EkqTtGAPuA1yRUvrxoDZShQBSALcB9Q3tdeDRbW5zFvDeQRYlSdKIezZw6aBW\nPvQBJKV0a0T8PTC1YdH9ge+3udk1APv372d6enqA1ZVvfn6ehYWFssvIYreM1XGOFsc5WnbDOOv1\nOnNzc9B6Lx2UoQggEXEicBoQraZTI+J04IaU0rXAXwHvi4jPAp8Gngw8BXhMm1WuAkxPTzMzMzPQ\n2ss2Pj4+8mM8ZreM1XGOFsc5WnbLOFsGegjDUAQQ4AyawSK1fi5stV8MPDel9JGIeCHwSuDNwDLw\n2ymlL5ZRrCRJ2pmhCCAppc+wxRk5KaWLgIty1CNJkgarCqfhSpKkEWMAqbharVZ2CdnslrE6ztHi\nOEfLbhlnDkP3Vez9EBEzwNe+9rWv7aaDhSRJ2rGlpSVmZ2cBZlNKS4PajntAJElSdgYQSZKUnQFE\nkiRlZwCRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYGEEmSlN1QXA1XqrJGo0FRFB37\nTExMMDk5makiSRp+BhBpBxqNBlNT06yuHunYb2xsH8vLdUOIJLUYQKQdKIqiFT72A9NtetVZXZ2j\nKAoDiCS1GECkvpgGvPKyJHXLg1AlSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYGEEmSlJ0BRJIk\nZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlNxQBJCLOjIjLI+K6iDgaEWd36PvXrT7n5qxRkiT1z1AE\nEOBE4ErgHCC16xQRTwceAVyXqS5JkjQAQ3E13JTSQeAgQETEZn0i4h7Am4GzgAP5qpMkSf02LHtA\nOmqFkkuAC1JK9bLrkSRJO1OJAAK8HPhZSumtZRciSZJ2big+gukkImaBc4GHbve28/PzjI+Pr2ur\n1WrUarU+VSdJUnUtLi6yuLi4rm1lZSXLtoc+gAC/CtwVuHbN4SHHAW+MiP+cUjq13Q0XFhaYmZnJ\nUKIkSdWz2R/lS0tLzM7ODnzbVQgglwAf39D2sVb7u/OXI0mSdmooAkhEnAicBhzbxXFqRJwO3JBS\nuha4cUP/W4EfpZS+m7dSSZLUD0MRQIAzgE/T/A6QBFzYar8YeO4m/dt+V4gkSRp+QxFAUkqfYRtn\n5HQ67kOSJA2/qpyGK0mSRogBRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlZwCRJEnZGUAkSVJ2\nBhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRl\nZwCRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2Q1FAImI\nMyPi8oi4LiKORsTZa5btjYg3RMQ3I+KnrT4XR8QpZdYsSZJ6NxQBBDgRuBI4B0gblu0DHgK8Fngo\n8HRgCrgsZ4GSJKl/9pZdAEBK6SBwECAiYsOynwBnrW2LiBcDX46Ie6aUfpCtUEmS1BfDsgdku06i\nuafkcNmFSJKk7atcAImIE4DXA5emlH5adj2SJGn7huIjmG5FxF7gAzT3fpxTcjlSpTUaDYqi2LLf\nxMQEk5OTGSqStJtUJoCsCR/3Ah7fzd6P+fl5xsfH17XVajVqtdpgipQqotFoMDU1zerqkS37jo3t\nY3m5bgiRRtDi4iKLi4vr2lZWVrJsuxIBZE34OBV4XErpxm5ut7CwwMzMzEBrk6qoKIpW+NgPTHfo\nWWd1dY6iKAwg0gja7I/ypaUlZmdnB77toQggEXEicBpw7AyYUyPidOAG4BDwQZqn4j4FOD4iTm71\nuyGldGvueqXRMQ0Y0iXlNxQBBDgD+DTNYzsScGGr/WKa3//xW632K1vt0fr9ccD/zlqpJEnasaEI\nICmlz9D5jJzKna0jSZLa841dkiRlZwCRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYG\nEEmSlJ0BRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlNxRXw5UEjUaDoii27DcxMcHk5GSGiiRp\ncAwg0hBoNBpMTU2zunpky75jY/tYXq4bQiRVmgFEGgJFUbTCx35gukPPOqurcxRFYQCRVGkGEGmo\nTAMzZRchSQPnQaiSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk7Awg\nkiQpOwOIJEnKzgAiSZKyG4oAEhFnRsTlEXFdRByNiLM36fNnEfHDiDgSER+PiNPKqFWSJO3cUAQQ\n4ETgSuAcIG1cGBHnAS8Gng88HLgJuCIifiFnkZIkqT+G4mq4KaWDwEGAiIhNurwEeF1K6X+2+vw+\ncD3wNOD9ueqUJEn9MSx7QNqKiPsCdwM+eawtpfQT4MvAI8uqS5Ik9W7oAwjN8JFo7vFY6/rWMkmS\nVDFD8RGMNKwajQZFUbRdXq/XM1YzvLa6nwAmJiaYnJzMVJGkYVeFAPIjIICTWb8X5GTg651uOD8/\nz/j4+Lq2Wq1GrVbrd40aQY1Gg6mpaVZXj5RdylDr9n4aG9vH8nLdECINkcXFRRYXF9e1raysZNn2\n0AeQlNLVEfEj4AnANwEi4s7AI4C3dbrtwsICMzMzgy9SI6koitab6n5guk2vA8D5+YoaQt3dT3VW\nV+coisIAIg2Rzf4oX1paYnZ2duDbHooAEhEnAqfR3NMBcGpEnA7ckFK6FngT8CcR8U/ANcDrgB8A\nl5VQrnadaaBdkPUjmJ/rdD9J0npDEUCAM4BP0zzYNAEXttovBp6bUrogIvYB7wROAj4LPDml9LMy\nipUkSTszFAEkpfQZtjgjJ6X0p8Cf5qhHkiQNVhVOw5UkSSPGACJJkrIzgEiSpOwMIJIkKTsDiCRJ\nys4AIkmSsjOASJKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScpuKK6GK+XWaDQo\niqJjn3q9nqma/ttqfNsdW6f+Vb6fJJXHAKJdp9FoMDU1zerqkbJLGYj+ju8QsIe5ubk+rEuSfs4A\nol2nKIrWm/N+YLpDzwPA+XmK6qPuxtft2A4DR/u0Lkn6OQOIdrFpYKbD8qp/tNBpfNsdWz/XJUke\nhCpJkkpgAJEkSdkZQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlZwCRJEnZ\nbfur2CPi7G77ppQu3+76JUnS6OvlWjAfARIQG9o3tiXguB7rWici9gCvBZ4N3A34IXBRSunP+7F+\nSZKUVy8fwfw6cCXwZOCk1s+TgSXgrJTSntZPX8JHy8uBFwDnAA8AXga8LCJe3MdtSJKkTHrZA/Im\n4IUppc+tabsiIo4A/43O1zfv1SOBy1JKB1u/NyLiWcDDB7AtSZI0YL3sAbkfcHiT9hXgPjuqpr0v\nAE+IiF8CiIjTgUcDBwa0PUmSNEC97AH5e+CNEfEfUkrXA0TEycBfAV/pZ3FrvB64M3BVRNxOMzi9\nKqX0vgFtT5IkDVAvAeQPgA/R/Bjk2lbbvYDvAk/rV2Eb/B7wLOCZwHeAhwBvjogfppTeM6BtSpKk\nAdl2AEkpfTciHgw8ieYBoQB14BMppdTP4ta4APjLlNIHWr9/OyLuA7wCaBtA5ufnGR8fX9dWq9Wo\n1WoDKlOSpOpYXFxkcXFxXdvKykqWbW8rgETE8cBBmgehfgz42ECquqN9wO0b2o6yxTEsCwsLzMzM\nDKwoSZKqbLM/ypeWlpidnR34trcVQFJKt7b2fuT2UeBPIuIHwLeBGWAeeFcJtUiSpB3q5SyY/TSP\nA8npxcD/AN5G8xiQC4B3AK/OXIckSeqDXg5C3Qs8NyKeCHwNuGntwpTSS/tR2IZ13gS8tPUjSZIq\nrqsA0vrY5R9SSkeBB9L81lOA+2/oOqiDUCVJ0gjpdg/I14FTgH8G7g08LKX044FVJUmSRlq3x4Ac\nBu7b+v99tnE7SZKkO+h2D8gHgc9ExCGaH7N8tfWNpHeQUjq1X8VJkqTR1FUASSk9PyI+BJwGvAX4\nG+BfBlmYJEkaXV2fBXPsSrQRMQu8OaVkAJEkST3p5avY/9MgCpEkSbuHB5NKkqTsDCCSJCk7A4gk\nScrOACJJkrIzgEiSpOwMIJIkKbteroYrqWT1er2nZZI0LAwgUqUcAvYwNzdXdiGStCMGEKlSDgNH\ngf3AdJs+B4Dzs1UkSb0wgEiVNA3MtFnmRzCShp8HoUqSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk\n7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScquMgEkIu4eEe+JiCIijkTENyKi3cUw\nJEnSEKvExegi4iTg88AngbOAAvgl4MYy65IkSb2pRAABXg40UkrPW9P2/bKKkSRJO1OVj2B+C/hq\nRLw/Iq6PiKWIeN6Wt5IkSUOpKntATgX+CLgQ+Avg4cBbIuKWlNJ7Sq1M6lK9Xu9p2SjpZpwTExNM\nTk527NNoNCiKYsfrkVSeqgSQPcBXUkrnt37/RkQ8EHgh0DaAzM/PMz4+vq6tVqtRq9UGVqh0R4eA\nPczNzZVdSIm6vw/GxvaxvFxvGx4ajQZTU9Osrh7Z0XokweLiIouLi+vaVlZWsmy7KgHkELDxT6c6\n8NudbrSwsMDMjCfKqGyHgaPAfmC6TZ8DwPltlo2Cbu4DgDqrq3MURdE2OBRF0Qofnda19Xokbf5H\n+dLSErOzswPfdlUCyOeBqQ1tU3ggqiplGmgXiHfHRzCd74My1yUpt6ochLoA/LuIeEVE3C8ingU8\nD3hryXVJkqQeVCKApJS+CjwdqAHfAl4FvCSl9L5SC5MkST2pykcwpJQO0PygXJIkVVwl9oBIkqTR\nYgCRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2RlAJElS\ndgYQSZKUnQFEkiRlV5mr4UpSWRqNBkVRdOwzMTHB5ORkpor6a9THp+FkAJGkDhqNBlNT06yuHunY\nb2xsH8vL9cq9SY/6+DS8DCCS1EFRFK035/3AdJtedVZX5yiKonJv0KM+Pg0vA4gkdWUamCm7iAEa\n9fFp2HgQqiRJys4AIkmSsjOASJKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrO\nACJJkrIzgEiSpOwqGUAi4uURcTQi3lh2LZIkafsqF0Ai4mHA84FvlF2LJEnqTaUCSETcieY1o58H\nHC65HEmS1KNKBRDgbcBHU0qfKrsQSZLUu71lF9CtiHgm8BDgjLJr0XBrNBoURdF2eb1ez1iNetFp\njrYzf1v1nZiYYHJysuv1aXRt9boBPl76rRIBJCLuCbwJeGJK6dZubzc/P8/4+Pi6tlqtRq1W63OF\nGhaNRoOpqWlWV4+UXYp6cgjYw9zcXJb1jI3tY3m57pvKLtft68YoPl4WFxdZXFxc17ayspJl25UI\nIMAscFdgKSKi1XYc8GsR8WLghJRS2nijhYUFZmZmMpapshVF0XoR2Q9Mt+l1ADg/X1HahsPAUXY+\nf92sp87q6hxFUYzUG4q2r7vXjdF8vGz2R/nS0hKzs7MD33ZVAsgngAdtaLsIqAOv3yx8aLebBtqF\nTz+CGX79mr9O65E28vGSUyUCSErpJuA7a9si4ibgxykl300kSaqYqp0Fs5Z7PSRJqqhK7AHZTErp\n8WXXIEmSelPlPSCSJKmiDCCSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOA\nSJKk7AwgkiQpOwOIJEnKzgAiSZKyq+zF6LQ7NRoNiqJou7xer2esRqNgq8fMdh5TW/WdmJhgcnJy\ny/Vs9TgHuOWWWzjhhBP6sr2q6tf95OtGOQwgqoxGo8HU1DSrq0fKLkUj4RCwh7m5uWzrGhvbx/Jy\nvWMo6P5xfhxw+463V1X9vJ9UDgOIKqMoitaLzX5guk2vA8D5+YpShR0GjtL58QTdPaa6WVed1dU5\niqLoGAi29zjf+faqqn/309p+yskAogqaBmbaLHNXqrar0+MJtveY2mpd29HN47yf26uqftxPvm6U\nwYNQJUlSdgYQSZKUnQFEkiRlZwCRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYGEEmS\nlJ0BRJIkZVeJABIRr4iIr0TETyLi+oj4cETcv+y6JElSbyoRQIAzgf8KPAJ4InA88LGI+FelViVJ\nknpSiavhppR+Y+3vEfEfgX8GZoHPlVGTJEnqXVX2gGx0EpCAG8ouRJIkbV/lAkhEBPAm4HMppe+U\nXY8kSdq+SnwEs8HbgV8GHl12IZK0XfV6fUfLh1mj0aAoio59JiYmmJyczFRR/201P1UfX06VCiAR\n8VbgN4AzU0qHtuo/Pz/P+Pj4urZarUatVhtQhZLUziFgD3Nzc2UXMhCNRoOpqWlWV4907Dc2to/l\n5XoF36S7m7+qjW9xcZHFxcV1bSsrK1m2XZkA0gofTwUek1JqdHObhYUFZmZmBluYJHXlMHAU2A9M\nd+h3ADg/S0X9VBRFK3x0Gl+d1dU5iqKozBv0z3Uzf9Ub32Z/lC8tLTE7OzvwbVcigETE24EacDZw\nU0Sc3Fq0klJaLa8ySdquaaDTH0bV/QimaavxVd2ojy+fqhyE+kLgzsDfAT9c8/OMEmuSJEk9qsQe\nkJRSVYKSJEnqgm/skiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrOACJJkrIzgEiSpOwM\nIJIkKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpu0pcDXe3Synxjne8g6uuuqpjvz179nDeeedxyimn\ndOzXaDQoiqJjn1tuuYUTTjhhy9omJiaYnJzMsr16vb5lPZLW2+p5s53nVae+/X5+bvW6McyvB93U\n1s1r56gzgFTA97//fV70ohexd+99ibhT23633bbMcccdx4UXXti2T6PRYGpqmtXVI1ts9Tjg9i1r\nGxvbx/Jyve0Tqd/bk9StQ8Ae5ubmhmxdW+v+dWPYdH8/bfXauRsYQCrg6NGjANx227uAx7ftd/zx\nv/L/+7ZTFEXrSb0fmG7T6wBw/hZ9AOqsrs5RFEXbJ1F/t3esn6StHQaO0p/nVTfr6t/zc3uvG8Ok\n2/t869fO3cAAsmtNAzNtltW76FPG9oZ3l6s0vPr5vOrmedxPubfXL/187RxdHoQqSZKyM4BIkqTs\nDCCSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpu0oFkIh4\nUURcHRE3R8SXIuJhZddUvsWyC8joC2UXkMlumVPHOVp2y/PzYNkFjIzKBJCI+D3gQuA1wEOBbwBX\nRMREqYWVbre8uAF8sewCMtktc+o4R8tueX5eUXYBI6MyAQSYB96ZUrokpXQV8ELgCPDccsuSJEnb\nVYkAEhHHA7PAJ4+1pZQS8AngkWXVJUmSerO37AK6NAEcB1y/of16YCp/OWX5R+CkDW0rwBIAKd2c\nuyBJknpSlQCyXWMA9Xq97Dr64sYbb2Tfvjtx5MgftekxC8Btt8HNN9/Me9/73rbruvrqq1v/OwC0\nu38+30UfgOa6Dhw40Pa+7u/2bujTurrdXr/Wtd0+PwDazWHOmga9vc3GWdZ9Psj74Ng4h+E+H+S6\nunl+bv2aAf183RjEfXA9O3t+wrH7YVjfo9bUNTbI7UTzk4zh1voI5gjwOymly9e0XwSMp5SevqH/\ns2j/CJEkSVt7dkrp0kGtvBJ7QFJKt0bE14AnAJcDRES0fn/LJje5Ang2cA2wmqlMSZJGwRhwHwZ8\nyk8l9oAARMQzgItonv3yFZpnxfx74AEppf9bYmmSJGmbKrEHBCCl9P7Wd378GXAycCVwluFDkqTq\nqcweEEmSNDoq8T0gkiRptBhAJElSdkMfQCLizIi4PCKui4ijEXH2huVPj4grIqJoLX9wF+t8Tqvv\n7a1/j0bEkcGNYmudxhkReyPiDRHxzYj4aavPxRFxShfr/d2IqLcu4PeNiHjyYEeytUGMtWpz2lr+\nmtbc/DQiboiIj0fEw7tY71DN6SDGWcX53ND3r1t9zu1ivZWazw19uxpnFeczIt69ptZjPwe6WG+l\n5rOXcfZrPoc+gAAn0jzg9BxgswNWTgQ+C7yszfJ2VoC7rfm5987K3LFO49wHPAR4Lc0L8T2d5jfA\nXtZphRHxKOBS4G9at78M+EhE/HJfK9++vo+1pUpzCrAMvAh4IPBomqeNfywi7tJuhUM6p30fZ0vV\n5hNo/lEEPAK4bqsVVnQ+ge2Ns6WK8/m3NE96OFZzrdMKKzyf2xpny87nM6VUmR/gKHB2m2X3bi1/\ncBfreQ5wQ9nj6WWca/qcAdwO3LNDn/cBl29o+yLw9rLHOICxjsKc/utWv8dVdU77OM5KzidwD6AB\nTNP8ustzt1hPJeezh3FWbj6BdwMf2uZ6KjefPY6zL/NZhT0gg3KniLgmIhoRUXZC7cVJNNPs4Q59\nHknzgn1rXUH1LuDXzVihwnMazW/7fQHNMX6jQ9dKz+k2xgkVm8+ICOAS4IKUUrffsV25+exxnFCx\n+Wx5bERcHxFXRcTbI+IXt+hfufls2e44oQ/zuVsDyDLwXOBsmt+Yugf4QkTcvdSquhQRJwCvBy5N\nKf20Q9e7sfkF/O42qNr6bRtjreScRsRvRsS/0PzG3pcAT0op3dDhJpWc0x7GWcX5fDnws5TSW7dx\nmyrOZy/jrOJ8/i3w+8DjaX7E/xjgQCuAtVPF+exlnH2Zz8p8EVk/pZS+BHzp2O8R8UWaVw56AfCa\nsurqRkTsBT5Ac4/AOSWXM1DbGWuF5/RTwOk0r/j8h8AHIuLhKaWi3LL6blvjrNp8RsQscC7N45ZG\nVq/jrNp8QvPLL9f8+u2I+Bbwf4DHAp8upagB6GWc/ZrP3boHZJ2U0m3A14HTyq6lkzVvyPcCfn2L\nPQIAP6J5YNFaJ7fah1oPY12nKnOaUro5pfS9lNJXUkp/CNwG/EGHm1RyTnsY58bbD/t8/ipwV+Da\niLg1Im6leVzaGyPiex1uV7X57HWc61RgPu8gpXQ1UNC55qrN5x10Oc6Nt+lpPkctgPT0ta4RsQd4\nEHCov+X0z5o35FOBJ6SUbuziZl+kecG+tZ7Uah9aPY514zqGfk7b2AOc0GF5Jed0E1uNc50KzOcl\nwINp7uU59vND4ALgrA63q9p89jrOdSown3cQEfcE7kLnmqs2n3fQ5Tg33qan+Rz6j2Ai4kSaqerY\n51GnRsTpNI/AvTYi/g0wSfOo7AAe0Prs6kcppetb67gYuC6l9MrW7+fT3H30TzQPcHxZax3vyjey\n9TqNk+akfpDmaV1PAY6PiGMp+4aU0q2tdawbJ/Bm4O8i4qXA/6J5atUszV3gpRnEWCs4pz8GXkXz\n6s6HaH408WLg7jTD17F1DP2cDmKcVZvPlNK1wI0b+t9K83Xou2vaKj2fvY6zavPZ+nkNzdeiH7X6\nvQH4R9ZcIbbq80mP4+zbfJZ9WlAXp/s8huapQ7dv+Pnva04H2mz5q9es41PH+rd+fyPNU8duppne\nP0oXp++WNU5+forx2vZjv/9au3G22n4HuKo11m/SvIDf0M5pr2Ot4JyeQPNJf22r5h8AHwZmNqxj\n6Od0EOOs2ny26f89NpyeWvX57HWcVZtPmpejP0jzTXm1NcZ3AHcdpfnsdZz9mk8vRidJkrIbtWNA\nJElSBRhAJElSdgYQSZKUnQFEkiRlZwCRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCQNRERc\nFBFHI+JlG9qfGhFHy6pL0nAwgEgalETzWhHnRcT4Jssk7WIGEEmD9AmaF7p65WYLI+IXI+LSiPhB\nRNwUEd+MiGfmLVFSGQwgkgbpdprh448j4u6bLB8Dvgo8GfgV4J3AJRFxRr4SJZXBACJpoFJKlwFX\nAq/dZNkPU0pvTCl9K6V0TUrpbcAVwDNy1ykpr71lFyBpVzgP+GRE/Je1jRGxB3gV8LvAPYBfaP3c\nlL1CSVm5B0TSwKWUPktzz8brNyx6GfDHwF8CjwVOBz5GM4RIGmHuAZGUyytofhSzvKbtUcBlKaVF\ngIgI4P7At/OXJykn94BIyiKl9A/Ae4Fz1zR/F3hSRDwyIqZpHoR6chn1ScrLACIpp1fTfN059j0g\nfw4sAQeBTwGHgA+XU5qknCIlvw9IkiTl5R4QSZKUnQFEkiRlZwCRJEnZGUAkSVJ2BhBJkpSdAUSS\nJGVnAJEkSdkZQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2RlAJElSdv8P/ZnVUkzfm38AAAAASUVORK5C\nYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQ8AAAMSCAYAAADEITLQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAXEQAAFxEByibzPwAAIABJREFUeJzs3X20tud8J/zvL7nvJCNBEVaQmnCXUWmaMFNFxVrx3iqP\nt0oMbZgqXVIVRZqij8dTRkoQLe2jVFqmYzBIDNUx3lqmXquJSlRCYySI904TiZD4PX9c173s2Y69\n93Xtva+97+z781nrWud5ncdx/M7fvrPyz3cd53VWdwcAAAAAYLkDtrsBAAAAAGDfJDwEAAAAAIaE\nhwAAAADAkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAA\nAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEAAACAoV3b3QAbV1WX\nJ7lBkku3uxcAAAAAtt2PJ7mqu4/YaKHq7k3oh+1UVf9y8MEH33DPnj3b3QoAAAAA2+zzn/98rrnm\nmiu6+0YbrWXn4c5w6Z49e+50wQUXbHcfAAAAAGyzo48+OhdeeOGmPKHqNw8BAAAAgCHhIQAAAAAw\nJDwEAAAAAIaEhwAAAADAkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEA\nAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEAAACA\nIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGBIeAgAAAABDwkMAAAAAYEh4CAAAAAAMCQ8B\nAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAAAADAkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBo13Y3AADA\n/+nIs0/fsntd9vgztuxeAABc/9h5CAAAAAAMCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAAAADA\nkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACGhIcA\nAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAA\nhnZceFhVh1fVC6vqgqq6qqq+U1XnVdWzq+qwVdbtrqrfrKqPTud/tqr+tqpO3mA/h1XVc6rq76d1\nL66q91TVQzZSFwAAAAAWbdd2N7CZqupOSd6d5NbLho6dfh5TVffu7suXrTtsuu6YJA/t7vdWVSV5\nQpLXVtWDk5zU3dfO2c8tk3wgyY2SPLC7z6+qXUmeneTcqnp5d5869x8KAAAAAFtgx+w8rKpDkpyb\n5NIkD05y2yQ/keRXklw8nfaTSV63bN2BSd6c5O5JTuvu9yZJT7w6ycuTPCLJmXP2c2iSdya5Q5L/\n0N3nT+te293PS/K2JE+tKuEhAAAAAPukHRMeJnlSki8mOb6739HdX+juz3f365P8TH4YIN6vqu64\nZN2jkzwwybeT/Omg7plJfpDkKVV17Bz9PC3JnZNc0N3vGoy/aHp8flUdMUddAAAAANgSOyk8fHSS\nXxs9Wtzd/zvJC5dcOmbJ+W9Pj+/q7u8N1n45yccz+bd6xiyNTHdBPnX69dzRnO7+SJLLkxya5JRZ\n6gIAAADAVtoR4eH0dwTf2t3/tMq0jy05/8503W2T/NRgfKW1D62qg2do6e5JDp+h7senxxNnqAkA\nAAAAW2pHhIfT3xF80RrTDlxyfuH0+HNLrn1ulbV7xw7LD8PG1cxb9/ZVdbMZ6gIAAADAltkR4eGM\njpoe/6a7vzA937Nk/CurrF06dvQM91pUXQAAAADYMru2u4Et9PPT439ccu2mS86/s8rapWOz7BBc\nSN2qumCFoT0rXAcAAACAddsvdh5W1WFJTkryuu7+70uGDl1y/iMvS1niuyusWcmi6gIAAADAltlf\ndh4+N8kXkzxl2fWrl5zvXmX90rGrZrjf8rorBYhz1e3u4aPN0x2Jd5qhLwAAAACY2Y4PD6vq/kke\nleQe3f0vy4a/tuT8BquUWTr2jRluu7zuSuHhvHUBAAAAYMvs6MeWq+qYJC9Pcv/u/tJgykVLzo9Y\npdTSsc/McOtF1QUAAACALbNjw8Oq+jdJ/nOSR3b3Z1eY9j+XnN9ulXJ7x65M8qkZbv+hOete3N1f\nn6EuAAAAAGyZHRkeVtXtk7wlyS9390pvKE53X5bk76Zff2aVknedHv+qu6+ZoYWPJPnqHHXPnaEm\nAAAAAGypHRceVtWeJG9L8rjuPm+FOYdV1YunX/9oevyFqjpwMPfmSe4x/foHs/TQ3dcl+ZPp14es\n0MNxSW6T5LolPQAAAADAPmNHhYdVdVSSdyf5/ST/XFU/sexz+6q6T5L/nuSD02V/nuSjSW6R5FcG\nZZ+WyYtl3tTdH1w6UFUPqKqvVtX5VXXksnUvTvKFJHepqhMGdU+bHl/S3ZfM+7cCAAAAwKLtmLct\nV9Vtkrw/yVFJXrfG9EuTvDOZ7BKsql9K8pdJzqqqL3T3+6c1H5vkmdO6TxzUOSWT0PEWmbzR+aV7\nB7r7iqp6yLTu66vqQd19flUdkOQZSR6d5I1JnrO+vxgAAAAAFmtHhIdVdcMk78skOJzFn0wfLU6S\ndPelVXX3JE9K8pKqqkz+ba5I8uQkZ3f3tYM6r8nkkeavJjln+WB3/0NV3TnJUzIJEK9NclCSryU5\nsbvfNGO/AAAAALDldkR42N1XJPmJDda4MslLpp9Z17w9yeFrzPlGkudOPwAAAABwvbGjfvMQAAAA\nANg8wkMAAAAAYEh4CAAAAAAMCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAAAADAkPAQAAAAABgS\nHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAA\nAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ\n8BAAAAAAGBIeAgAAAABDwkMAAAAAYEh4CAAAAAAMCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAA\nAADAkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACG\nhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQA\nAAAAhoSHAAAAAMCQ8BAAAAAAGBIeAgAAAABDwkMAAAAAYEh4CAAAAAAM7druBgAA4ProyLNP35L7\nXPb4M7bkPgAAI3YeAgAAAABDwkMAAAAAYEh4CAAAAAAMCQ8BAAAAgKEdHx5W1QFVddx29zFSVbuq\n6mFVddPt7gUAAAAAltux4eE0mDs5yWeSnLXKvLtWVc/4+W/r7OUvRvWSfD/J07r7W+v7KwEAAABg\ncXZtdwObrap2Jzk5ye8kud308ldWWXLKHOXnDg+rak+SE1eZcua8NQEAAABgK+y48DDJg5J8Isld\nk3w6yRErTayqw5M8PJOg8dwk315h6uuTnJDkbevo5/Qkb07yvMHY1d39v9ZREwAAAAAWbseFh919\nzt7zqrooq4SHSZ6Q5PTufuVKE6rqRkmOT/KB7v76PL1U1a2TPCbJcd190TxrAQAAAGC77bjwcJle\nY/y93f3xNeY8NMnBSd60jvs/M8mlSY6sqsu7+1/WUQMAAAAAtsWOfWHKLGYIDpPkpCTXZc5HlqeP\nRP9akjskeW+Sb1XVh6vq6VV147mbBQAAAIAttl+Hh2upqpsmuW/W8chyJo9E32DJ9wOT3C2TF6Rc\nWFX335wuAQAAAGAxhIere3iS3Zm88GQu3X1GkkMzeePzSUn+Isn3psO3SvKOqrrfJvUJAAAAAJtO\neLi6EzN5ZPmt61nc3Vd19yXd/cbufmwmQeLeF7rsTvKWqrrV5rQKAAAAAJtLeLiCqrpFkhOyvkeW\nh7r7S939sCRnTC/dMMkpc/R0weiTZM9m9AcAAAAASwkPV/bITH6ncO5HlmfwrCQfnZ4fv4D6AAAA\nALBhu7a7gX3Yhh5ZXk13d1W9KsnPJjlijnVHj65Pdx/eaZPaAwAAAIAkdh4OTX+H8J5J/nqzHlke\nOG96vHJB9QEAAABgQ4SHY4/K5N9mEY8s73X19HjZAu8BAAAAAOsmPBzb+8jyWxZ4jztOj+9a4D0A\nAAAAYN2Eh8tU1b9Ocrcs9pHlJHlCkq8kecMC7wEAAAAA67bTw8ObTI+751hz4vS45iPLVfWAqvpq\nVZ1fVUcuuX6vqvpwVb2xqo4brHtckvsk+ZXu/uc5egMAAACALbNjw8OqOiHJ3rcTH1tVx8y4dJ63\nLJ+S5BZJfjqT30nc6/hMdi8+KsknquplVXWHqjqqqn4vyXOT3K+73zNjTwAAAACw5XZceFhVp1bV\nJUnel+TA6eVDk3yqqi6pqlNWWfsTSe6S5G+6+2sz3O41Sb6Z5MIk5yy5/tIkL0hyQZLvZhIyfiDJ\nH2fygpSju/tD8/xdAAAAALDVdm13A5utu89KctY6134uSc0x/+1JDh9cvzrJc6YfAAAAALhe2nE7\nDwEAAACAzSE8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEA\nAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGBIeAgAAAABDwkMAAAAAYEh4CAAAAAAM\nCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAAAADAkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBIeAgA\nAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABg\nSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGNq13Q0AALDzHXn2\n6Vtyn8sef8aW3AcAYH9h5yEAAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAA\nAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGBIeAgAAAABD\nwkMAAAAAYEh4CAAAAAAMCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAAAADA0I4PD6vqgKo6bhNq\nHF9Vd9ysvgAAAABgX7djw8Oq2lVVJyf5TJKzZlzzgqrq5Z8k1yV5XZKL19HHzavqRVX1D1V1XlVd\nXFXnVtXx89YCAAAAgK2048LDqtpdVU9I8tkkf5bkDjOuu3GSU1aZ8rLuvm7OXo5O8qkkv5jkwd19\nXJKfTnJ5kg9U1W/NUw8AAAAAttKu7W5gAR6U5BNJ7prk00mOmHHdb2QS9D1xMPb9JP80TxNVdUSS\nv0xyiyT37e4vJEl3X11Vv57k3yY5s6ou6e63zVMbAAAAALbCjgsPu/ucvedVdVFmCA+r6gZJnprk\n33f3P25SK89Pcpsk7+zuC5b12FV1ZpI3JPmDqvqr7r56k+4LAAAAAJtixz22vEzPOO+JmQSpu6vq\nZhu9aVXdMskvT7+eu8K0d2TyW4pHJvn3G70nAAAAAGy2nR4erqmqDkry9CQ3yeQx469PX2zy3Omj\nx+vxwCQHTc8/NprQ3VcmuXD69cR13gcAAAAAFma/Dw+TPDyT3X97VZJjk/w/Sf6xqh67jpo/t+T8\nc6vM2zt2t6qqddwHAAAAABZmvw8Pu/u/JDkkyY8neViSVyW5cjp84ySvr6rHzVl2z/R4RXd/Z5V5\nX5kebzi9PwAAAADsM/b78DBJuvua7r6su8/p7l/PJMh7zZIpr66qO89R8qbT42rB4fLxDf/WIgAA\nAABsph33tuXN0N3/nOTXquoTSf6/TP6dnpHkMTOWOHR6/N4a8747WLOiqrpghaE9K1wHAAAAgHWz\n83AV3f2qJG+efj1+jqVXT4+715i3dPyqOeoDAAAAwMLZebi2P07yS0nmefPy16bHG6wxb+n4N9Yq\n2t1Hj65PdyTeabbWAAAAAGA2dh6u7bzp8cpVZ/2fLpoeb1xVh6wyb28geWWSS+dtDAAAAAAWSXi4\ntr2PIF82x5oPLTm/3Srz9o59uLt7rq4AAAAAYMGEh2u74/T4rjnW/FWSa6bnPzOaUFUHJ/np6ddz\n19caAAAAACyO8HBtT0jynUzeujyT7v5mkjdNvz5khWk/n+SgJP87yes20iAAAAAALMJODw9vMj0O\n33pcVT9ZVR+sqnOr6oTB+H2SPDHJk7v7ksH4yVX17ar666q64bLhZ2USDD64qu4wuP0zp8ff6e4r\nZv2DAAAAAGCr7NjwcBoG7n078bFVdcxg2l2S3DOT3YHvq6rXV9UxVXWrqjo1yZ8lOam7V9oZ+PQk\nP5bkXknut3Sguy9L8rBMdi3+16o6atrXwVX18iT3SPKy7v7j9f+VAAAAALA4Oy48rKpTq+qSJO9L\ncuD08qFJPlVVl1TVKUumvyHJaUk+meSKJCcleW+S/5RkV5Jju/utq9zuldN1H0ny/uWD3f3+JMdO\na76jqj6Z5O8zeVHKA7r7t9b9hwIAAADAgu3a7gY2W3efleSsGef+IMmLp5/13OtVSV61xpwvJnna\neuoDAAAAwHbacTsPAQAAAIDNITwEAAAAAIaEhwAAAADAkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBI\neAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAA\nAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGNq13Q0AAAD7\nhiPPPn1L7nPZ48/YkvsAABtn5yEAAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPC\nQwAAAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGBIeAgAA\nAABDwkMAAAAAYEh4CAAAAAAMCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAAAADAkPAQAAAAABgS\nHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAA\nAAAYEh4CAAAAAEPCQwAAAABgaNd2NwAAAKzsyLNP3+4WAID9mJ2HAAAAAMCQ8BAAAAAAGBIeAgAA\nAABDwkMAAAAAYGjHh4dVdUBVHbfdfYxU1a6qelhV3XS7ewEAAACA5XZseDgN5k5O8pkkZ80w/x5V\n9eaq+nJVfa+qvlFV76qqB21CL39RVb38k+T7SZ7W3d/a6D0AAAAAYLPtuPCwqnZX1ROSfDbJnyW5\nwwxrnpbkg0kemeSWSXYnuVmSByZ5R1W9bAP97Ely4ipTzlxvbQAAAABYpB0XHiZ5UJJPJLlrksvX\nmlxV903y+0leMV1z6yR3SfKCJN+bTju1qh6zzn5OT/LmJD85+BzV3W9fZ10AAAAAWKhd293AZuvu\nc/aeV9VFSY5YY8mLk/x6d792ybUvJ/n7qvrbJO+cXntKkr+Yp5equnWSxyQ5rrsvmmctAAAAAGy3\nnbjzcKlebbCqjk3yzWXB4Q8Xd/9lkr+Zfj1mHfd/ZpJLkxxZVTdax3oAAAAA2DY7PTxcy82S/O4a\ncz42PX5nnsJVdXiSX8vkNxffm+RbVfXhqnp6Vd147k4BAAAAYIvt1+Fhd7+vuz+8xrQDp8cL5iz/\nhCQ3WFbnbpm8IOXCqrr/nPUAAAAAYEvt1+HhjI6aHl83z6LuPiPJoUlul+SkTH4vce8LWG6VyVuc\n77dJPQIAAADAphMerqKqDk5yQpJLkrxh3vXdfVV3X9Ldb+zux2YSJO59ocvuJG+pqlttWsMAAAAA\nsIl23NuWN9kjk9w4ySO6+7sbLdbdX0rysKp6YZLTk9wwySlJnj3L+qpa6dHpPRvtDQAAAACWs/Nw\nBVV1WJLnJ3led79vk8s/K8lHp+fHb3JtAAAAANgUdh6u7I+TvL+7n7fZhbu7q+pVSX42yRFzrDt6\ndH26I/FOm9QeAAAAACQRHg5V1e8mOSTJ4xZ4m/OmxysXeA8AAAAAWDfh4TJVdWqSf5fkkd193QJv\ndfX0eNkC7wEAAAAA6yY8XKKqTkly/yQP6+7vL/h2d5we37Xg+wAAAADAunhhylRVPSnJQ5M8vLuv\nWWHOz1fVQzbplk9I8pUkb9ikegAAAACwqXb6zsObTI+7V5tUVb+a5NQkJyY5sqqWTzkoyT2SnJbk\n6CXrHpDkdUkuT/Kg7r5sev1eSX4/yReTvLC7z1tarKoel+Q+SR7c3f+8nj8MAAAAABZtx4aHVXVC\nfhj0HVtVx3T3PwzmnZzkTzLZhXn+GmX/47LHmU9Jcovp51FJXjq9fnySu00/j6iqP8zk7c3fS/Kr\nSR6b5H7d/aH1/G0AAAAAsBV23GPLVXVqVV2S5H1JDpxePjTJp6rqkunvGu6d+4tJXpvZ/h1+kEnI\nuNRrknwzyYVJzlly/aVJXpDkgiTfzSRk/EAmAeJlSY4WHAIAAACwr9txOw+7+6wkZ8049x35YcC4\nnnu9Pcnhg+tXJ3nO9AMAAAAA10s7buchAAAAALA5hIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAA\nAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGBIeAgAAAABD\nwkMAAAAAYEh4CAAAAAAMCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIaEhwAAAADAkPAQAAAAABgSHgIA\nAAAAQ/t0eFhVv7rdPQAAAADA/mqfDQ+r6qAkT97uPgAAAABgf7VrEUWr6iNJbrHBMocnOXQT2gEA\nAAAA1mEh4WGSVyX5002o05tQAwAAAABYh0WFh/84PX4sycVJrh3MuVGS+yY5J8kPlo0dkuRnk/zr\nBfUHAAAAAKxhUeHhk5I8qbtfvdqkqnpykp/q7h/5bcOqOiTJpxfUHwAAAACwhkWFh7fv7sfNMO/V\nSb5TVW/t7vcsHeju71bV/1hIdwAAAADAmhb1tuXds0zq7u8n+XKS31xhyvM3rSMAAAAAYC6L2nl4\nWFXtnoaDK6qq3UmOyApvVe7uLy2iOQAAAABgbYvaefixJKfOMO/UJAclucGC+gAAAAAA1mlROw9f\nmuTjVXVokjO7+8qlg1V10ySnJXlGkk5y/oL6AAAAAADWaSHhYXd/qqpOS/KyJM+oqk8kuWx6v6OS\n3CXJgUkqk/DwBYvoAwAAAABYv0XtPEx3v7yqvp3kFUnulUlIuFdNj1cneWp3v3NRfQAAAAAA67Ow\n8DBJuvt1VfXfkvxqknsnuU0mOw6/nOSDSf60uy9dZA8AAAAAwPosJDysqlsneWCS93X3JUnOnH4A\nAAAAgOuJRe08fHeSOyb5cJJ7LugeAAAAAMACHbCgureaHt+9oPoAAAAAwIItKjx8Y5KvJ/m9WSZX\n1VsW1AcAAAAAsE6LCg+fmuSTSe6z1sSq2p3khAX1AQAAAACs06J+8/Dnkrwiye9W1f2TfHqFef8q\nyS8kufGC+gAAAAAA1mlR4eFvJfn56flaL0ypJL2gPgAAAACAddrwY8tVddjg8p9nEgrO8gEAAAAA\n9kEbCg+r6lFJvl1Vz1429PYklye5f5I9SW67wucOmfw+IgAAAACwj9noY8unJTkwySFLL3b3NVX1\nn7v7PTPU+MOq+u0N9gEAAAAAbLKNhod3TPKfkjx36cWq+liS+85R594b7AMAAAAA2GQb/c3DLyc5\nubt/sOx6dfe/zFHnzRvsAwAAAADYZBsND/8pycGD6zO/PbmqDsnk9w8BAAAAgH3IRh9bfmeST1bV\nXyZZutPwVlX1f8+w/tBMHlk+dIN9AAAAAACbbKPh4SszCf9+Kz+62/C5Pzp9qAZrAQAAAIBttqHH\nlqe/dfjwJCcn+esk30pyXSaB4KwfAAAAAGAftNHfPExPvL67793dN+/ug5L8XXcfsNYnyWFJHhE7\nDwEAAABgn7Ph8HAjuvuq7n5bkku2sw8AAAAA4EctKjz8vTnnP2shXQAAAAAA67aQ8LC73z7n/Dcv\nog8AAAAAYP229bFlAAAAAGDfJTwEAAAAAIZ2fHhYVQdU1XHb3QcAAAAAXN/s2PCwqnZV1clJPpPk\nrBnm766q36yqj1bVeVX12ar622mNjfRxWFU9p6r+flr34qp6T1U9ZCN1AQAAAGDRdm13A5utqnYn\nOTnJ7yS53fTyV9ZYc1iSdyc5JslDu/u9VVVJnpDktVX14CQndfe1c/ZyyyQfSHKjJA/s7vOraleS\nZyc5t6pe3t2nzlMTAAAAALbKTtx5+KAkn0hy1ySXrzW5qg5M8uYkd09yWne/N0l64tVJXp7kEUnO\nnKeJqjo0yTuT3CHJf+ju86d1r+3u5yV5W5KnVpXwEAAAAIB90o4LD7v7nO4+r7u/meSiGZY8OskD\nk3w7yZ8Oxs9M8oMkT6mqY+do5WlJ7pzkgu5+12D8RdPj86vqiDnqAgAAAMCW2HHh4TI9w5zfnh7f\n1d3f+5EC3V9O8vFM/q2eMctNq+qQJE+dfj132Fj3RzLZGXloklNmqQsAAAAAW2mnh4erqqrbJvmp\n6dePrTJ179hDq+rgGUrfPcnhM9T9+PR44gw1AQAAAGBL7dfhYZKfW3L+uVXm7R07LD8MGzez7u2r\n6mYz1AUAAACALbO/h4d7lpyv9kbmpWNHb2NdAAAAANgy+3t4eNMl599ZZd7SsVl2CC6qLgAAAABs\nmV3b3cA2O3TJ+Y+8LGWJ766wZkvrVtUFKwztWeE6AAAAAKzb/h4eXr3kfPcq85aOXbWOuisFiPPW\nBQC20ZFnn77dLbAG/40AADbX/h4efm3J+Q1Wmbd07BvrqLtSeDhX3e4e/i7idEfinWboCwAAAABm\ntr//5uEP7VzTAAAgAElEQVRFS86PWGXe0rHPbGNdAAAAANgy+3t4+D+XnN9ulXl7x65M8qkZ6n5o\nzroXd/fXZ6gLAAAAAFtmvw4Pu/uyJH83/fozq0y96/T4V919zQylP5Lkq3PUPXeGmgAAAACwpfbr\n8HDqj6bHX6iqA5cPVtXNk9xj+vUPZinY3dcl+ZPp14eM5lTVcUluk+S6JT0AAAAAwD5jp4eHN5ke\nV3uT8p8n+WiSWyT5lcH40zJ5scybuvuDSweq6gFV9dWqOr+qjly27sVJvpDkLlV1wqDuadPjS7r7\nktX/DAAAAADYejs2PJwGdnvfTnxsVR0zmjfdJfhLST6d5KylQV9VPTbJM5O8P8kTB8tPySR0/Okk\nj1pW94pMdh1eluT1VXXstOYBVXVakkcneWOS56z3bwQAAACARdq13Q1stqo6NclTkxy15PKhST5V\nVV9IcmZ3v3Lpmu6+tKrunuRJSV5SVZXJv80VSZ6c5OzuvnZwu9dk8kjzV5Ocs3ywu/+hqu6c5CmZ\nBIjXJjkoydeSnNjdb9rI3woAAAAAi7TjwsPuPivJWetYd2WSl0w/s655e5LD15jzjSTPnX4AAAAA\n4Hpjxz62DAAAAABsjPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAA\nMCQ8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEAAACAIeEh\nAAAAADAkPAQAAAAAhoSHAAAAAMCQ8BAAAAAAGBIeAgAAAABDwkMAAAAAYGjXdjcAAMD2OfLs07e7\nBQAA9mF2HgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACGhIcAAAAA\nwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgIAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSH\nAAAAAMCQ8BAAAAAAGBIeAgAAAABDwkMAAAAAYEh4CAAAAAAMCQ8BAAAAgCHhIQAAAAAwJDwEAAAA\nAIaEhwAAAADAkPAQAAAAABgSHgIAAAAAQ8JDAAAAAGBIeAgAAAAADAkPAQAAAIAh4SEAAAAAMCQ8\nBAAAAACGdm13AwAAANd3R559+pbc57LHn7El99mp/HcCmJ+dhwAAAADAkPAQAAAAABgSHgIAAAAA\nQ8JDAAAAAGBIeLjNquqoqnrgdvcBAAAAAMsJD6eq6oKq6hk+P6iqw+esfb+V6iX5fJLPLeavAgAA\nAID1Ex4mqaoTktxpxukf6e5vzHmLZ68ydm53Cw8BAAAA2Ofs2u4G9hG/keSdSV6Y5AtJrhvM+cUk\nr07y5nkKV9U9khw3/VyzbPgHSf7XnL0CAAAAwJbY78PDqjoyyeFJ7tvd319l3n2SdJL/Ouctnp3k\nFd19/vq7BAAAAICt57Hl5PtJfnmN4PAGSR6cySPLl85auKqOS/ILSb5UVUdtsE8AAAAA2FL7fXjY\n3V/t7i+uMe0XkxyaOR9ZTvKs6fGPklxSVV+sqldW1bHz9gkAAAAAW22/Dw9ndGLmfGS5qm6d5OHL\nLv94kicn+WRVvaiq9vvHxgEAAADYdwkP11BVN8zk0eOPzvPIcnd/KckhSW6R5N5J/t8kl02HD0jy\nzExewAIAAAAA+yTh4doekkkIOO8jy+nua7v76939/u5+bpKjkjw9yVXTKY+rqqdsWqcAAAAAsIk8\nNru2kzJ5ZHnu8HC57r4uyUur6kNJ/keSGyU5rape0d291vqqumCFoT0b7Q0AAAAAlrPzcBVV9WNJ\n7p85H1leS3d/LMnvTL8emeS2m1UbAAAAADaLnYere1iSg7IJuw4H/izJmUn+VZIjkvzTWgu6++jR\n9emOxDttZnMAAAAAYOfh6k6aHmd+y/KsuvuqJBdPv1652fUBAAAAYKOEhyuoqsMzeUvyR7v7iwu6\nzdXT45cWVB8AAAAA1k14uLJHZPJY95sWUbyqDkhy+yQf6+5vLuIeAAAAALARwsOVLeyR5amHJ7lp\nJr97CAAAAAD7HOHhQFXdMsm9ssYjy1V146r6YFV9u6oeu+T6IVX1tqp6X1U9cbrLcOm6WyV5eZLX\ndPciXsYCAAAAABsmPBx7ZCb/NmsFe/dJcs8kP5bktCXXb57k/0pyQpJXJfnbqrp3Vd28qh6W5K+T\nvDbJEze7cQAAAADYLLu2u4F91InT41qPLH8gyceT/Jskf7j3YndfWlUPT/IbSY5L8m+TvDWTtyu/\nP8mDuvuiTe4ZAAAAADaV8HCgu+8547xvJbnrCmPnJDlnM/sCAAAAgK3ksWUAAAAAYEh4CAAAAAAM\nCQ8BAAAAgCHhIQAAAAAwJDwEAAAAAIa8bRkAANhSR559+pbd67LHn7Fl94Kt5v8lYCvYeQgAAAAA\nDAkPAQAAAIAh4SEAAAAAMCQ8BAAAAACGhIcAAAAAwJDwEAAAAAAYEh4CAAAAAEPCQwAAAABgSHgI\nAAAAAAwJDwEAAACAIeEhAAAAADAkPAQAAAAAhoSHAAAAAMD/3969h9tWl/UC/76wEQXUI4KhopKX\nI0KIdUSfo/ac1NC85IXQ6GQqpqglaRc5qFlKdryhlpdMTTEkO3mFVNR6gpSiIh9SErzk9gbeL3kD\nBYX3/DHHltVy7HWdc8211/58nmc9Y8zxu8x3btaY7PndvznGKOEhAAAAADBKeAgAAAAAjBIeAgAA\nAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACM\nEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwatu8\nCwAAAJiVg087ed4lAGyYjXrPu+z4523I87A5WHkIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAA\nMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjh\nIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAA\nAADAKOHhKlTVTarqmHnXAQAAAAAbQXi4SFXdvqqurqpe/JPkS0m+scr5qqp+pareV1UfrqpLqurC\nqnpKVW2bzasAAAAAgPUTXv2op2XnoeqF3X3OSicawsE3J/n5JI/s7jcOxx+Y5E1JfqGq7tfd31ln\nzQAAAAAwdcLDBarqVkl+McnPZLLKcKFOctkqp/yTJA9J8oIdwWGSdPc7q+rkJH+c5IyhDwAAAABs\nKsLD/+qkJG/t7vetd6KqunuSxyW5OsmLR7q8KskpSR5cVT/f3e9Y73MCAAAAwDS55uGgqg5K8pgk\nn6yqQ6cw5cnD9l+6e/EqxnT3lUneMzw8aQrPBwAAAABTJTy81m8luW6SZyb5SFV9uapeX1U/vdqJ\nqmrvJEcPDy9YouuOtrtX1cGrfR4AAAAAmCXhYX4Y9p2w6PCBSR6V5P1DiLjfKqY8Ksnew/4nlui3\no62S3HUV8wMAAADAzAkP88OvEO+f5IAkd8/kK8cfW9DlUUneVlV7rXDK2yzY/8IS/Ra2Hb7CuQEA\nAABgQwgPB919TXd/rbvP7+7nJ7lDkkcm+drQ5egkz1vhdPsv2L98iX4L22684mIBAAAAYAO42/JO\ndHcneUNVnZ/kfUlunuSJVfXs7v7WMsP3XbB/1RL9vreTMaOq6uKdNN1mJ8cBAAAAYM2Eh8vo7u1V\ndUKSdyW5XpI7JzlnmWHfXbC/1FedF7ZdsbYKAWD3dvBpJ8+7BIANs5HveZcdv9IvXgGwlQkPV6C7\nz66qzyS5VZKDVjDkywv291mi38K2r66gjtHrIg4rEg9bQV0AAAAAsGKuebhyHxq231lB348v2F8q\nbFzY9pFVVwQAAAAAMyQ8XLkdX0W+bAV9/y3X3gzl1kv0W9h2/lqKAgAAAIBZER6u3KFJvpDkg8t1\n7O6rkrxneHjUEl3vMmw/0N2fW195AAAAADBdwsMVqKo7JzkyyUu6+5oVDvuTYXv3qtp/ZM5tSe4/\nPHzp+qsEAAAAgOkSHiapqtdV1XlV9X+q6jqL2m6Q5LVJ3pvkxYvabllVF1XVF6vqZxe2dfc5Sd6a\nyR2VnzzytI9JckCSf0ryxum9GgAAAACYjt0+PKyqvZIcl+QeSZ6X5KKqelBV3WQIBN+X5IIkP9/d\nVy8afmySI5L8WJLfGJn+scP4p1XVcQue8+gkL0pyUZKHj8wLAAAAAHO3bd4FzFt3f7+q7pvkqUnu\nmuQ2Sc5I8ukk70/yq9194U6Gn5XkhCT7J3n1yNzfGILC45M8uaqelqSTXJPkWUle2d1XTPUFAQAA\nAMCU7PbhYZJ093lJzlvDuO2Z3EhlqT7fzyRY/JFwEQAAAAA2s93+a8sAAAAAwDjhIQAAAAAwSngI\nAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAA\nADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo\n4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAqG3zLgAAAIDN5+DTTt6Q57ns+OdtyPNspI36\ns4N58f6we7HyEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8BAAAAABGCQ8B\nAAAAgFHCQwAAAABglPAQAAAAABglPAQAAAAARgkPAQAAAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAA\nAEYJDwEAAACAUcJDAAAAAGCU8BAAAAAAGCU8BAAAAABGCQ8BAAAAgFHCQwAAAABglPAQAAAAABgl\nPAQAAAAARgkPAQAAAIBRwkMAAAAAYJTwEAAAAAAYJTwEAAAAAEYJDwEAAACAUcJDAAAAAGCU8BAA\nAAAAGLVt3gUAAFvTwaedPO8SANgF+P8FW53fcXZ1Vh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgA\nAAAAjBIeAgAAAACjhIdzVlWHVNXPzbsOAAAAAFhMeLhAVR1QVc+tqour6oqquryqPlhVz6iq/dYx\n79FV1WM/SbYn+cT0XgUAAAAATMe2eRewWVTVYUn+JsnNFzUdOfz8clXdq7u/uIbpn7FE21ndLTwE\nAAAAYNMRHiapqusmOSvJpUmekOTDSfZMcrckz0xyuyR3SHJ6kvuscu67JbnT8HPlouZrknxmPbUD\nAAAAwKwIDycen+SzSe7b3T9YcHx7Vf11kn/NJEA8uqoO7e6PrmLuZyR5eXd/aHrlAgAAAMDsuebh\nxC8ledyi4DBJ0t3fTPLcBYeOWOmkVXWnJPdP8rmqOmSdNQIAAADAhtrtw8Oq2pbkbd39ySW6XbBg\n//JVTP/0YfsnST5VVZ+tqldU1ZGrrRMAAAAANtpuHx529w+6+wXLdNtzwf4lK5m3qm6e5JhFh2+R\n5NeSXFhVLxiCSwAAAADYlHb78HCFDhm27+/uT69kQHd/Lsl1k9wkyb2SnJLksqF5jyRPTfKaqVYJ\nAAAAAFNk5dvK3G/Y/t/VDBquofiVJOcmObeqTkny5CR/kGSfJI+uqgu7+2Urma+qLt5J021WUxcA\nAAAArISVh8uoqv2SHJfk9O5+73rm6u6ru/vFSe6Z5FvD4ZOqqtZZJgAAAABMnZWHy/v9JJ9NcuK0\nJuzuC6rqaUlekeTgJD+eZKkbtuwYd/jY8WFF4mHTqg8AAAAAEisPl1RV90ny8CT37+5vLdd/lV6f\n5LvD/kFTnhsAAAAA1k14uBNVdUSSP05yn+HmJ1PV3Vck+Y/h4XemPT8AAAAArJfwcERV3T7JG5Mc\n290fm+FT7Vh5OPVwEgAAAADWyzUPF6mq2yV5a5JHdPfO7m48jefZI8ntklzQ3V+b1fMAAAAAwFpZ\nebhAVd0myduTPLq7P7iTPvtV1Qun8HTHJNk/yalTmAsAAAAApk54OKiqQ5L8TZLnJ/lGVd120c/t\nqureSd6b5LxhzA2r6ryq+s+qesSCua5bVW+vqnOq6oRhleHC57pZJtdT/LPufvMGvUQAAAAAWBVf\nW05SVbdMcm6SQ5Kcvkz3S5O8a9i/d5J7DPsnJTlj2D8wyYOTVJJ7JnlMVT09yb8P/V+Q5HVJfm86\nrwAAAAAApm+3Dw+r6vpJzskkOFyJV3f31cP+3yf51yS3T/KyHR26+9KqOibJk5LcKcn/SPK2TO6u\nfG6SB3T3x6dRPwAAAADMym4fHnb3t5Pcdo1jv57kLjtpOzPJmesoDQAAAADmyjUPAQAAAIBRwkMA\nAAAAYJTwEAAAAAAYJTwEAAAAAEbt9jdMAQAAAJZ28Gknz7uEqbvs+OfNuwTYJVh5CAAAAACMEh4C\nAAAAAKOEhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAA\nAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBK\neAgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEA\nAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjts27ANiZ\ng087eUOe57Ljn7chz8P6bNTvQ7L1fie24p/dRr4mAAC2Jn+n3Py24meZXZGVhwAAAADAKOEhAAAA\nADBKeAgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo\n4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACjhIcA\nAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4eEiVXX3qnpbVX20qi6qqo9V1alV\ndeA65nxgVb2nqi6pqn+vqour6veqat9p1g4AAAAA0yQ8XKCqnprkvCSfTXLH7r5jkgcleXCSf6uq\nw9cw50uTvCPJ3yX5ie4+IsmvJjkxyQVVdbNp1Q8AAAAA0yQ8HFTVLyd5QZILuvsp3X1VknT3x5I8\nLMlNk7yzqm60ijmfnklI+KbufmF3XzPM+c+ZBIiHJTmrqvaa7qsBAAAAgPUTHiapqusnednw8NTF\n7d39wSR/m+SQJL+7wjkPSfLs4eELR+b86yQfTXLnJE9YZckAAAAAMHPCw4kTktwoyQ+SnL2TPmcO\n2ydW1X4rmPO3k2xL8rnu/sBO+pw1bJ9aVbXSYgEAAABgIwgPJx40bD/c3VfspM8Fw/Z6C/qvZM5/\nXaLPjjlvkeR/rmBOAAAAANgwu314OFxv8Kjh4SeW6Lqwbcmgr6oOTnLLac4JAAAAABtttw8Pk9ws\nk9WESfKFnXXq7m8l2bEqcbm7Lt9mwf5O51zUtuo7OQMAAADALG2bdwGbwP4L9i9fpu/lSfZJcuMp\nzbmwbbk5U1UX76Tp0O3bt+fww7dW/vilb3xpQ57n8FPfsSHPw/ps1O9DsvV+J7bin91GviYAAGDr\n22qfA7dv355MLpO3bsLDZN8F+1ct0/d7I2PWM+f3FuwvN+dSrrnyyisvv+SSSy5dxxwbbcfqzO1z\nrSLJJZ//2rxLYJPxO7F2q/iz2zTvAcCGc/7D7s17AOy+NvX5vwU/B94i136Ddl2Eh8l3F+zvtUzf\nHe3L/eGvdM6Fbcv+B+3uLbO0cMcqyq30moCV8x4Auy/nP+zevAfA7sv5v+tyzcPkywv291mm7472\nr05pzoVty80JAAAAABtKeJhclmtX/R20s05Vdb0kNxgefmSZOT++YH+ncy5qW25OAAAAANhQu314\n2N2d5Pzh4a2X6Lqw7R+XmfNLST4xzTkBAAAAYKPt9uHh4Kxhe8equs5O+txl2F6V5N2rmPOoJfrs\nmPNLSf55BXMCAAAAwIYRHk68Icl3kuyd5L476fPgYXtGd//nCub80yTXJDmkqo5YZs5XdPc1Ky0W\nAAAAADZCTb61S1U9KcnLkryvu39mUdthSS5K8s0kR3b3ZcPxGyZ5Z5KfSHJid5+xaNypSX47yend\n/ahFbfdJ8t5MblH+k9397Vm8LgAAAABYKysPr/WKJH+U5H9V1ak7vr5cVbdO8pZMgsNf2BEcDu6d\n5B5J/luSk0bmfEaSNyV5ZFX9ZlXtMcz5U0n+PMlnkzxUcAgAAADAZmTl4SJVdd8kJyY5JJPrG+6d\nyQrBl3T3pYv67p/kPUlun+R3uvs1I/NVkocneXySA5N8P8leSd6W5KXd/bWZvRgAAAAAWAfhIQAA\nAAAwyteWAQAAAIBRwkMAAAAAYJTwEAAAAAAYJTxkpqpqj6q60xrGHVhVt5hFTcDGWOv5D2wN3gNg\n9+Y9AHZf0zj/hzl+uqoOnVZdrJ3wkJmoqm1V9agkH0nyR6sYd9OqenGSTye594zKA2Zoted/Vd2t\nqt5cVZ+vqquq6qtV9e6qesDsqwWmbQ3vAberqtdV1aUL3gPeXlVHzb5aYNrW+jlg0RxHV9XVVfXo\nqRYHzNRazv+q+sOq6sU/Sa5OcnqS/5hhyayQ8JCpqqq9quqxST6W5PVJ/vsKxx1cVS9L8skkv5lk\nn5kVCczEWs7/qvrNJOclOTbJTZPsleTGSX4uyTur6iUzKxiYqjW+B9wjyQeTPGo49L1M3gMekuT8\nqrrfbKoFpm2tnwNG5rlpkjPisyrsMtaRA9wwya8v0eUl3X31+itkvbwhM20PSPKBJHdJ8sWVDKiq\n62eyyvA5SY6fXWnAjK3q/K+qn03y/CQvH8bcPMlPJfnDJFcN3Z5SVb88k2qBaVvte8AtkrwlyYuS\nHNDdt+juGyS51zB+WybvD8CuYdWfAxarqj2T/GWS/adYFzB7az3/n5TkoiR3GPm5bZKXTbdM1mrb\nvAtga+nuM3fsV9XHkxy0gjHfTvLnw5h/mV11wCyt4fx/YZIndPfrFhz7fJJ/q6rzk7xrOHZikr+Y\nZq3A9K3hPeB3kvx6d7910TznVtVJmXxV6dZVdZPu/vLUCwamai2fA0Y8O5OvOx6S5FbTqQyYtbWc\n/1W1T5InJ/nf3f3RGZbHFFh5yCz1Bo0BNp8lz+WqOjLJ1xYFh9cO7j47yfuHh0dMuTZg9pZ7D6gk\nFy8ODhe4cNhek+Rb0ywM2BCr/jt9VR2d5P6ZXMII2HWt9Pw/IZMFbXtV1Y1nWA9TIDwEYB5unOSZ\ny/S5YNhePuNagA3WE69eosuBw/bM7v7eRtQEzM9wncM/TXKccx62vqq6TpLfTnKjJGcn+UpVfbCq\nfr+q1rJqmRkTHgKw4br7nO7+p2W67TlsL551PcCm8+gk25P82pzrAGZsuM7hG5P8fnd/fN71ABvi\nmCQHL3hcSY5M8qwkH62qR8yjKHZOeAjAZnXIsD19nkUAG6uqfivJnZMc1d1fmnc9wMw9K8knu/uM\neRcCbIzu/n9JrpvkFkkemuRVSb4zNN8wyRuq6tHzqY4xwkMANp2q2jvJPZN8KpO7LgJbWFXtUVX3\nrapzM7n78uFJ3ltVh8+5NGCGhuscPjiTm6MBu5HuvrK7L+vuM7v7CZkEiX+2oMtrquon51QeiwgP\nAdiMjs3kXx0f69pHsFv43STHJ9k7yfeHY0cl+Zeq+om5VQXMzHCdw1cn+aXuvmLe9QDz1d3f6O7H\nJXnCcGhbkt+ZY0ksIDwEYFOpqv2SPCfJs7v7nHnXA8xed5/S3cd1990yuWTBaUPTvkmeP7fCgJlY\ncJ3D53S3axsDP9Tdr0ry5uHhT8+zFq4lPARgs3llknO7+9nzLgTYeN39+e5+TJK/Gg797HBXRmDr\neFaSz3X3a+ddCLApvXLYuvPyJiE8BGDTqKpnZnLx5MfNuxZg7l40bK+T5IB5FgJM3dOT3KOqPjr2\nk+TmQ7/nLjj+0DnWC2ysDw7b7yzZiw2zbd4FAECSVNVTMrnD6rHdffW86wHm7iML9r81tyqAWdgj\nya1W0O+gXLvy6IazKwfYZL47bC+baxX8kPAQgLmrql9Pcp8kD+3u7y/XH9gt7DVsL+luKw9gC+nu\nWqq9qj6dSbh4fHe/fiNqAjaVQ4ftu+daBT/ka8sAzFVVPT7JQ5Ic091X7qTP/arqQRtbGTBn9xq2\nL59rFQDARntsksuT/Om8C2HCykNm6UbDdq8le42PWe04YHNZ0flfVb+a5ClJfjHJwVU/shDhOknu\nluSkJIdPuUZgdpZ9DxhWHO+d5PXd/fVFbdfP5K7r70ryqlkVCczMWj4HAFvDkud/Vd0hyauTfD3J\nH3X3uYva753khCSP7e5PzbJQVs7KQ2aiqu6Zaz/oH1lVR6xgzJ5Jnrjg0DFVtc8s6gNmZ6Xnf1U9\nKpO/OBya5ENJ/mPk5+Ikr0nyZl9nhl3DSt4DquqWmawofFGS7VX1u1V126rab/jQ8HfDz0O7+5qN\nqh1Yv7V8DgC2hhWe/z+V5B5JHpTknKp6Q1UdUVU3G66B/vokx3X36RtSNCsiPGSqquopVfWpJOck\n2XM4vG+Si6rqU8Mqg7Fxf5/kq/mvd1j9uSRfqaqPVNXBMywbmILVnP9V9cAkr8vK/j90TSYhI7CJ\nreY9oLs/m+TkJB/PZPXhM5Kcm+TtSe6a5GHd/ST/aAC7jrV+DgB2fas8//8yk28VXZjk20mOy+Qf\nDM/I5NuxR3b32zaseFakunveNQAAAAAAm5CVhwAAAADAKOEhAAAAADBKeAgAAAAAjBIeAgAAAACj\nhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4C\nAJIQbZsAAAP9SURBVAAAAKOEhwAAAADAKOEhAACbRlW9vKq+VVW94Oe0ZcY8oKq+smhMV9U3q+rE\njaodAGArqu6edw0AAPBDVXW9JK9O8ogFh5/c3S9dZtw9k7wjyb5JTk5yandfPbNCAQB2A8JDAAA2\nnaraM8llSQ4aDv0gyX26+9xlxr0pyb2S3KS7r5ltlQAAW5+vLQMAsOkMKwavTPL94dC2JG+qqkOW\nGfqpJJ8UHAIATIfwEACAzeyUJF8Y9g9IcmZV7btE/+8OPwAATIHwEACAzeyyJA9KcsXw+MgkS95A\nJYnr8gAATInwEACATa27P5Dkkbk2FHxYVT19NXPUxDFVdXZVnV9Vl1TVF6vqLVV1xNSLBgDYIoSH\nAABset391iTPWHDoD6rqASsZW1V7JHlLkrcmObu779bdhyX5lSQPSfJPVXX4tGsGANgKhIcAAOwS\nuvu5Sf58eLhHkr+oqtuvYOi9kxwz7P/tgvn+Nsm5SfZNcuIUSwUA2DKEhwAA7EpOSHLesH/DJGdV\n1Q2XGbPjeolXJfnBorbPDdsfn055AABbi/AQAIBdRndflckqwk8Oh26f5I3DV5N3NuYfk9wpyWHd\nvX3H8ao6MMkth4fXmU3FAAC7NuEhAAC7lO7+apIHJvnmcOj+SZ6zzJgPdff24cYp962q1yY5aUGX\nmk21AAC7NuEhAAC7nO7+SJKH5dqvIT+tqh6+1Jiq+oUkFya5a5ITu/upST4700IBAHZxwkMAAHZJ\nww1PfmPBodOSHLm437Da8LWZ3HH5hd19SndfsbgfAAA/SngIAMAuq7tfmeSlw8N9kjxkpNuTkjwm\nyWe6+40bVRsAwFYgPAQAYLPaOyu7kclvJTl7ifZfGbb/OdJ202G75yrqAgDYbQgPAQDYdKpqryQH\nJDl4ub7dfXWS45J8eCddtg3bO1bV0cP826rq8UnuMrTdrqr2rqqbra9yAICtRXgIAMBmdFwmod+x\nVXWD5Tp397czuQPzl0ea3z1s90jyN1V1aZKvJ7lzkmcPbT+W5NIkf7XOugEAthThIQAAm0ZVPbGq\n/iHJ6cOhOyT5VFWdUVX7LTW2uz+TyTUPv7uo6ZQkL0nyhSSXZ3KH5cd29+MyucnK+UmuSPIPSY6d\n1msBANgKqrvnXQMAAAAAsAlZeQgAAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwS\nHgIAAAAAo4SHAAAAAMAo4SEAAAAAMEp4CAAAAACMEh4CAAAAAKOEhwAAAADAKOEhAAAAADBKeAgA\nAAAAjBIeAgAAAACjhIcAAAAAwCjhIQAAAAAwSngIAAAAAIwSHgIAAAAAo4SHAAAAAMAo4SEAAAAA\nMOr/A2kQ0HMNG6mnAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf2f65fd0>"
       ]
      },
-     "execution_count": 43,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -933,28 +1127,25 @@
     "plt.hist(train['Na'],bins=40)\n",
     "plt.xlabel('Na')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAF5CAYAAADUL/MIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAHTpJREFUeJzt3X+w3XV95/HnOyKk0SXMNDZpVxGUEtK1i+YqSBW1QqXY\nXYpux/WukVbXsqh02NjuorO4zZKZrsWtQQvusHX81eDpMLPtojRLUNAuiIJyo4zrFWUlXiJJ9KqE\nSgwB8t4/vid67/X+ON+T8znne06ej5kzk/v5fs73vD/nc3Pv636/n/P9RmYiSZJU0rJBFyBJkkaf\ngUOSJBVn4JAkScUZOCRJUnEGDkmSVJyBQ5IkFWfgkCRJxRk4JElScQYOSZJUnIFDkiQV14jAERG/\nEhF/HRHTEbE/Ir4aEevn9LkyIh5qb/90RJwyqHolSVI9Aw8cEXEC8HngMeA8YB3wx8CPZvS5HLgU\nuBg4A3gU2B4Rx/a9YEmSVFsM+uZtEfEe4KzMfPkifR4C3puZW9pfHw/sBX4/M2/oT6WSJKlbAz/C\nAfxL4MsRcUNE7I2IiYh4y+GNEXEysAa49XBbZj4C3AWc1fdqJUlSbU0IHM8B3grcB7wK+O/AByLi\nje3ta4CkOqIx0972NkmS1HDHDLoAqtBzd2a+u/31VyPiecAlwF93s8OI+EWq9SA7gQO9KFKSpKPE\ncuAkYHtm/qBXO21C4NgNTM5pmwRe2/73HiCA1cw+yrEa2LHAPs8Dru9hjZIkHW3eAHyiVztrQuD4\nPLB2Ttta4DsAmflAROwBzgHuhZ8uGj0TuHaBfe4E2Lp1K+vWrStQcv9t3LiRLVu2DLqMnhml8YzS\nWMDxNNkojQUcT1NNTk6yYcMGaP8u7ZUmBI4twOcj4l3ADVRB4i3AH87oczVwRUTcT/UGbAZ2ATcu\nsM8DAOvWrWP9+vULdBkuK1euHJmxwGiNZ5TGAo6nyUZpLOB4hkBPlyQMPHBk5pcj4jXAe4B3Aw8A\nl2Xm38zoc1VErACuA04AbgfOz8yDg6hZkiTVM/DAAZCZ24BtS/TZBGzqRz2SJKm3mvCxWEmSNOIM\nHENifHx80CX01CiNZ5TGAo6nyUZpLOB4jjYDv7R5Ce0bv91zzz33jNoCHkmSipqYmGBsbAxgLDMn\nerVfj3BIkqTiDBySJKk4A4ckSSrOwCFJkoozcEiSpOIMHJIkqTgDhyRJKs7AIUmSijNwSJKk4gwc\nkiSpOAOHJEkqzsAhSZKKM3BIkqTiDBySJKk4A4ckSSrOwCFJkoozcEiSpOIMHJIkqTgDhyRJKs7A\nIUmSijNwSJKk4gwckiSpOAOHJEkqzsAhSZKKM3BIkqTiDBySJKk4A4ckSSrumEEXIEk6ukxNTTE9\nPd1R31WrVnHiiScWrkj9YOCQJPXN1NQUa9eu48CB/R31X758BffdN2noGAEGDklS30xPT7fDxlZg\n3RK9JzlwYAPT09MGjhFg4JAkDcA6YP2gi1AfuWhUkiQVZ+CQJEnFGTgkSVJxBg5JklScgUOSJBVn\n4JAkScUZOCRJUnEDDxwR8acRcWjO4+tz+lwZEQ9FxP6I+HREnDKoeiVJUn0DDxxtXwNWA2vaj5ce\n3hARlwOXAhcDZwCPAtsj4tgB1ClJkrrQlCuNPpGZ319g22XA5sy8CSAiLgL2AhcCN/SpPkmSdASa\ncoTjVyPiuxHx/yJia0Q8CyAiTqY64nHr4Y6Z+QhwF3DWYEqVJEl1NSFwfBH4A+A84BLgZOD/RMTT\nqMJGUh3RmGlve5skSRoCAz+lkpnbZ3z5tYi4G/gO8DrgG0ey740bN7Jy5cpZbePj44yPjx/JbiVJ\nGgmtVotWqzWrbd++fUVea+CBY67M3BcR3wROAT4HBNWC0plHOVYDO5ba15YtW1i/3rsRSpI0n/n+\nCJ+YmGBsbKznr9WEUyqzRMTTqcLGQ5n5ALAHOGfG9uOBM4E7B1OhJEmqa+BHOCLivcCnqE6j/FPg\nvwCPA3/T7nI1cEVE3A/sBDYDu4Ab+16sJEnqysADB/BM4BPALwLfB+4AXpyZPwDIzKsiYgVwHXAC\ncDtwfmYeHFC9kiSppoEHjsxccgVnZm4CNhUvRpIkFdG4NRySJGn0GDgkSVJxBg5JklScgUOSJBVn\n4JAkScUZOCRJUnEGDkmSVJyBQ5IkFWfgkCRJxRk4JElScQYOSZJUnIFDkiQVZ+CQJEnFGTgkSVJx\nBg5JklScgUOSJBVn4JAkScUZOCRJUnEGDkmSVJyBQ5IkFWfgkCRJxRk4JElScQYOSZJUnIFDkiQV\nZ+CQJEnFGTgkSVJxBg5JklScgUOSJBVn4JAkScUZOCRJUnEGDkmSVJyBQ5IkFWfgkCRJxRk4JElS\ncQYOSZJUnIFDkiQVZ+CQJEnFGTgkSVJxBg5JklScgUOSJBXXuMAREe+MiEMR8b457VdGxEMRsT8i\nPh0RpwyqRkmSVE+jAkdEvAi4GPjqnPbLgUvb284AHgW2R8SxfS9SkiTV1pjAERFPB7YCbwEenrP5\nMmBzZt6UmV8DLgJ+Bbiwv1VKkqRuNCZwANcCn8rM22Y2RsTJwBrg1sNtmfkIcBdwVl8rlCRJXTlm\n0AUARMTrgecDL5xn8xoggb1z2ve2t0mSpIYbeOCIiGcCVwPnZubjg65HkiT13sADBzAGPAOYiIho\ntz0FeFlEXAqcBgSwmtlHOVYDOxbb8caNG1m5cuWstvHxccbHx3tUuiRJw6vVatFqtWa17du3r8hr\nNSFwfAb49TltHwUmgfdk5rcjYg9wDnAvQEQcD5xJte5jQVu2bGH9+vU9L1iSpFEw3x/hExMTjI2N\n9fy1Bh44MvNR4Osz2yLiUeAHmTnZbroauCIi7gd2ApuBXcCNfSxVkiR1aeCBYwE564vMqyJiBXAd\ncAJwO3B+Zh4cRHGSJKmeRgaOzHzlPG2bgE19L0aSJB2xJl2HQ5IkjSgDhyRJKs7AIUmSijNwSJKk\n4gwckiSpOAOHJEkqzsAhSZKKM3BIkqTiDBySJKk4A4ckSSrOwCFJkoozcEiSpOIMHJIkqTgDhyRJ\nKs7AIUmSijNwSJKk4gwckiSpOAOHJEkqzsAhSZKKM3BIkqTiDBySJKk4A4ckSSrOwCFJkoozcEiS\npOIMHJIkqTgDhyRJKs7AIUmSijNwSJKk4gwckiSpOAOHJEkqzsAhSZKKM3BIkqTiDBySJKk4A4ck\nSSrOwCFJkoozcEiSpOIMHJIkqTgDhyRJKs7AIUmSijNwSJKk4o6p+4SIuKDTvpn5ybr7lyRJo6d2\n4AD+F5BAzGmf25bAU5baWURcArwVOKnd9H+BKzPz5hl9rgTeApwAfB54a2be30XtkiRpALo5pfIq\n4CvA+VQB4IT2vyeA8zJzWfuxZNhoexC4HFgPjAG3ATdGxDqAiLgcuBS4GDgDeBTYHhHHdlG7JEka\ngG6OcFwNXJKZd8xo2x4R+4H/Aayrs7PM/Ps5TVdExFuBFwOTwGXA5sy8CSAiLgL2AhcCN3RRvyRJ\n6rNujnA8F3h4nvZ9/Oy0SFciYllEvB5YAdwZEScDa4BbD/fJzEeAu4CzjuS1JElS/3RzhONLwPsi\n4o2ZuRcgIlYD7wXu7qaIiHge8AVgOfCPwGsy876IOItqLcjeOU/ZSxVEFjU5OdnR6y9btozTTz+d\niLnLUiRJUi90Ezj+LfC3wFREPNhuexbwLarTHN34BnA6sBL4PeDjEfGyLvf1Uxs2bOi47zXXXMPb\n3/72I31JSZI0j9qBIzO/FRH/HPgt4LR28yTwmczMborIzCeAb7e/3BERZ1Ct3biK6pMvq5l9lGM1\nsGPpPb8A+Cdz2s4DfntWyzHHvJadO3fWL1ySpCHWarVotVqz2vbt21fktWoFjoh4KnAz1aLRW4Bb\nilRVrS05LjMfiIg9wDnAve0ajgfOBK5dejcfovrwy+Iilh9BqZIkDafx8XHGx8dntU1MTDA2Ntbz\n16oVODLz8fbRjZ6JiD8D/jcwRXU44g3Ay6k+fgvVp2KuiIj7gZ3AZmAXcGMv65AkSeV0s4ZjK9U6\njnf2qIZfAj4G/DLVJ13uBV6VmbcBZOZVEbECuI7qmh+3A+dn5sEevb4kSSqsm8BxDPDmiDgXuIfq\nQlw/lZnvqLOzzHxLB302AZvq7FeSJDVHR4GjfRrla5l5CHge1VVFAU6d07WrRaOSJGm0dXqEYwfV\nKY/vAc8GXpSZPyhWlSRJGimdXmn0YeDk9r9PqvE8SZKkjo9w/E/gHyJiN9Vpky9HxJPzdczM5/Sq\nOEmSNBo6ChyZeXFE/C1wCvAB4K+oLkEuSZK0pI4/pZKZNwNExBjw/sw0cEiSpI50c2nzN5UoRJIk\njS4Xf0qSpOIMHJIkqTgDhyRJKs7AIUmSijNwSJKk4gwckiSpOAOHJEkqzsAhSZKKM3BIkqTiDByS\nJKk4A4ckSSrOwCFJkoozcEiSpOIMHJIkqTgDhyRJKs7AIUmSijNwSJKk4gwckiSpuGMGXYAkSYuZ\nnJzsuO+qVas48cQTC1ajbhk4JEkNtRtYxoYNGzp+xvLlK7jvvklDRwMZOCRJDfUwcAjYCqzroP8k\nBw5sYHp62sDRQAYOSVLDrQPWD7oIHSEXjUqSpOIMHJIkqTgDhyRJKs7AIUmSijNwSJKk4gwckiSp\nOAOHJEkqzsAhSZKKM3BIkqTiDBySJKk4A4ckSSrOwCFJkoobeOCIiHdFxN0R8UhE7I2Iv4uIU+fp\nd2VEPBQR+yPi0xFxyiDqlSRJ9Q08cABnA38JnAmcCzwVuCUifuFwh4i4HLgUuBg4A3gU2B4Rx/a/\nXEmSVNfAb0+fma+e+XVE/AHwPWAMuKPdfBmwOTNvave5CNgLXAjc0LdiJUlSV5pwhGOuE4AEfggQ\nEScDa4BbD3fIzEeAu4CzBlGgJEmqp1GBIyICuBq4IzO/3m5eQxVA9s7pvre9TZIkNdzAT6nM8UHg\n14CX9GZ3G4GVc9rG2w9Jko5urVaLVqs1q23fvn1FXqsxgSMirgFeDZydmbtnbNoDBLCa2Uc5VgM7\nFt/rFmB9T+uUJGlUjI+PMz4++4/wiYkJxsbGev5ajTil0g4bvwv8ZmZOzdyWmQ9QhY5zZvQ/nupT\nLXf2s05JktSdgR/hiIgPUp3juAB4NCJWtzfty8wD7X9fDVwREfcDO4HNwC7gxj6XK0mSujDwwAFc\nQrUo9HNz2t8EfBwgM6+KiBXAdVSfYrkdOD8zD/axTkmS1KWBB47M7Oi0TmZuAjYVLUaSJBXRiDUc\nkiRptBk4JElScQYOSZJUnIFDkiQVN/BFo5Kk4TY1NcX09HRHfScnJwtXo6YycEiSujY1NcXates4\ncGD/oEtRwxk4JEldm56eboeNrcC6Dp6xDXh32aLUSAYOSVIPrKOze1d5SuVo5aJRSZJUnIFDkiQV\nZ+CQJEnFGTgkSVJxBg5JklScgUOSJBVn4JAkScUZOCRJUnEGDkmSVJyBQ5IkFWfgkCRJxRk4JElS\ncQYOSZJUnIFDkiQVZ+CQJEnFGTgkSVJxBg5JklScgUOSJBVn4JAkScUZOCRJUnEGDkmSVJyBQ5Ik\nFWfgkCRJxRk4JElScQYOSZJUnIFDkiQVZ+CQJEnFGTgkSVJxBg5JklScgUOSJBVn4JAkScUZOCRJ\nUnGNCBwRcXZEfDIivhsRhyLignn6XBkRD0XE/oj4dEScMohaJUlSfY0IHMDTgK8AbwNy7saIuBy4\nFLgYOAN4FNgeEcf2s0hJktSdYwZdAEBm3gzcDBARMU+Xy4DNmXlTu89FwF7gQuCGftUpSZK605Qj\nHAuKiJOBNcCth9sy8xHgLuCsQdUlSZI61/jAQRU2kuqIxkx729skSVLDDUPgkCRJQ64RaziWsAcI\nYDWzj3KsBnYs/tSNwMo5bePthyRJR7dWq0Wr1ZrVtm/fviKv1fjAkZkPRMQe4BzgXoCIOB44E7h2\n8WdvAdYXrlCSpOE0Pj7O+PjsP8InJiYYGxvr+Ws1InBExNOAU6iOZAA8JyJOB36YmQ8CVwNXRMT9\nwE5gM7ALuHEA5UqSpJoaETiAFwKfpVocmsBftNs/Brw5M6+KiBXAdcAJwO3A+Zl5cBDFSpKkehoR\nODLzH1hiAWtmbgI29aMeSZLUW35KRZIkFWfgkCRJxRk4JElScQYOSZJUnIFDkiQVZ+CQJEnFGTgk\nSVJxBg5JklScgUOSJBXXiCuNSpKaZWpqiunp6SX7TU5O9qEajQIDhyRplqmpKdauXceBA/sHXYpG\niIFDkjTL9PR0O2xsBdYt0Xsb8O7yRWnoGTgkSQtYB6xfoo+nVNQZF41KkqTiDBySJKk4T6lIkkZK\nnU/OPPbYYxx33HEd9V21ahUnnnhit2Ud9QwckqQRsRtYxoYNG2o85ynAkx31XL58BffdN2no6JKB\nQ5I0Ih4GDtHZp2vgZ5+w6aT/JAcObGB6etrA0SUDhyRpxHTy6Rr42SdsOu2vI+GiUUmSVJxHOCSp\nkE4vD36YixI1ygwcklRAN5cHd1GiRpmBQ5IKqHd5cHBRokadgUOSinJBogQuGpUkSX1g4JAkScUZ\nOCRJUnEGDkmSVJyBQ5IkFWfgkCRJxfmxWEmqodOrh9a5RbqGR5159cqxsxk4JKlD3Vw9VKNiN7CM\nDRs2dPwMrxw7m4FDkjpU7+qhh299rtHwMHAIrxzbPQOHJNXWydVDPaUymrxybLdcNCpJkorzCIek\nnqhzK/a6i+lK7vtoUec9dMGrSjBwSDpidRdT1llMV3LfRwsXu6oJDBySjli9xZT1FtOV3PfRot57\nCC54VQkGDkk9VHJBnYv1jlyn76GnVNR7LhqVJEnFeYTjKOPiu59X5z2BsgseH3vsMY477riO912n\nf8m6u1lk2OlzSi9gbNpiyk5fo87cuwhUdb7Pd+/eXaSGoQocEfF24E+ANcBXgT/KzC8Ntqr+aLVa\njI+PH9E+mrT4rhfj6YVuFtPNfV8WG0v9/T8FeLLjWur073Q+W60WL3nJSwouMqx/xcYj0dv5Kanu\n+1L3e6WJWsDgfw70TjPHU/f7/NhjlxepY2gCR0T8a+AvgIuBu4GNwPaIODUzO//zdEj14hd0kxbf\nNSVw1F9M9/Pvy2Jj6e7KlHUX9vV2PlutFmvXri24yLDuFRuPbAFj7+bnyGtZXCfvy0ZgC91/rzRN\nM39Bd6+Z46n7s//gwTJ/DAxN4KD6n3ZdZn4cICIuAX4HeDNw1SALGz4uvvt5pd+TOlemrLuwrwkL\nNbs5ZN+kBYzDUsvK9rZuv1d0dBvsz/6hWDQaEU8FxoBbD7dlZgKfAc4aVF2SJKkzw3KEYxXVCcu9\nc9r3AmsXflpnqT7zQJdlSZKkTgxL4KirveKls/NQTzwB+/fv5/rrr++o/7Jlyzh06FDHxfSi/65d\nu+atr86+H3jggfa/trF0GKv6btu2reMV7nVq2bVrF61Wq+P+pd7zeu8JzPe+LDQ39ff/+Zq11Onf\n+Xzu2rWLbdu2Faylv+Ps3fzUraXEOHcB1xfad7f9j2Tfh8dTYt+DGOfM8dT7GVry90o3P/vberp6\nNKozE83WPqWyH/hXmfnJGe0fBVZm5mvm9P83LP5dLEmSFveGzPxEr3Y2FEc4MvPxiLgHOAf4JEBE\nRPvrD8zzlO3AG4CdgOdLJEnq3HLgJKrfpT0zFEc4ACLidcBHgUv42cdifw84LTO/P8DSJEnSEobi\nCAdAZt4QEauAK4HVwFeA8wwbkiQ139Ac4ZAkScNrKK7DIUmShpuBQ5IkFTe0gSMi3h4RD0TETyLi\nixHxoiX6vyIi7omIAxHxzYj4/X7V2ok644mIl0fEoTmPJyPil/pZ8wK1nR0Rn4yI77bruqCD5zR2\nbuqOp+Fz866IuDsiHomIvRHxdxFxagfPa+T8dDOeps5PRFwSEV+NiH3tx50R8dtLPKeR8wL1x9PU\neZlPRLyzXd/7lujX2PmZqZPx9Gp+hjJwzLiR258CL6C6c+z29qLS+fqfBNxEdWn004H3Ax+KiN/q\nR71LqTuetgR+lerOuWuAX87M75WutQNPo1rQ+zaqGhfV9Lmh5njamjo3ZwN/CZwJnAs8FbglIn5h\noSc0fH5qj6etifPzIHA51Y0uxoDbgBsjYt47bTV8XqDmeNqaOC+ztP8QvJjqZ/Ri/U6i2fMDdD6e\ntiOfn8wcugfwReD9M74Oqku8/ccF+v85cO+cthawbdBj6XI8L6e6L/Xxg659iXEdAi5Yok+j56aL\n8QzF3LRrXdUe00tHZH46Gc8wzc8PgDcN+7x0OJ7GzwvwdOA+4JXAZ4H3LdK38fNTczw9mZ+hO8IR\n3d3I7cXt7TNtX6R/33Q5HqhCyVci4qGIuCUifqNspcU0dm6OwLDMzQlUf7X8cJE+wzQ/nYwHGj4/\nEbEsIl4PrAC+sEC3oZmXDscDDZ8X4FrgU5l5Wwd9h2F+6owHejA/Q3Mdjhm6uZHbmgX6Hx8Rx2Xm\nY70tsZZuxrMb+HfAl4HjgD8EPhcRZ2TmV0oVWkiT56YbQzE3ERHA1cAdmfn1RboOxfzUGE9j5yci\nnkf1C3k58I/AazLzGwt0b/y81BxPY+cFoB2Yng+8sMOnNHp+uhhPT+ZnGAPHUS8zvwl8c0bTFyPi\nuVRXX23kwqSjxRDNzQeBXwNeMuhCeqSj8TR8fr5Bdb5/JdVVlD8eES9b5Jd003U8nibPS0Q8kyrM\nnpuZjw+yll7oZjy9mp+hO6UCTFOdS1o9p301sGeB5+xZoP8jg06adDee+dwNnNKrovqoyXPTK42a\nm4i4Bng18IrM3L1E98bPT83xzKcR85OZT2TmtzNzR2b+J6qFfJct0L3x81JzPPNpxLxQnfJ+BjAR\nEY9HxONUaxoui4iD7aNrczV5froZz3xqz8/QBY52Ijt8Izdg1o3c7lzgaV+Y2b/tVSx+PrEvuhzP\nfJ5Pddhr2DR2bnqoMXPT/uX8u8BvZuZUB09p9Px0MZ75NGZ+5lhGdfh6Po2elwUsNp75NGVePgP8\nOlU9p7cfXwa2Aqe319zN1eT56WY886k/P4NeKdvl6trXUd2u/iLgNOA6qhXQz2hv/6/Ax2b0P4nq\nHOKfU62LeBtwkOqQ0jCO5zLgAuC5wD+jOjz2ONVfeIMey9Pa38DPp/rEwL9vf/2sIZ2buuNp8tx8\nEPgR1cdJV894LJ/R58+GZX66HE8j56dd59nAs4Hntb+vngBeucD3WWPnpcvxNHJeFhnfrE91DNP/\nmy7H05P5GfhAj+ANehvV7ed/QpUaXzhj20eA2+b0fxnVkYSfAN8C3jjoMXQ7HuA/tMfwKPB9qk+4\nvGzQY2jX9nKqX8xPznl8eBjnpu54Gj43843jSeCihb7Xmjw/3YynqfMDfAj4dvs93gPcQvuX87DN\nSzfjaeq8LDK+25j9C3qo5qfueHo1P968TZIkFTd0azgkSdLwMXBIkqTiDBySJKk4A4ckSSrOwCFJ\nkoozcEiSpOIMHJIkqTgDhyRJKs7AIUmSijNwSJKk4gwcknouIj4aEYci4oPzbLu2ve3Dg6hN0mAY\nOCSVkMAU8PqI+Oktydv/Hge+M6jCJA2GgUNSKTuAB4HXzmh7LVXY2HG4ISKeHhHXR8SPI+LBiPij\niPhsRLyvz/VKKsjAIamUBD4MvHlG25upbn0dM9q2AGcB/wI4D3gF8IL+lCipXwwckkq6HnhpRDwr\nIp4N/Aaw9fDGiHg6cBHwx5n5ucz8OvAm4JiBVCupGP9TSyomM6cj4iaqEBHA32fmDyN+eoDjOVQ/\nh7404zmPRMR9fS9WUlEGDkmlfQS4huoUy9vm2R7ztEkaMZ5SkVTazcCxVH/g3DJn27eBx4EXHW6I\niJXAqX2rTlJfeIRDUlGZeSgiTmv/O+ds+3FEfAz4bxHxI+D7wCbgSaojIpJGhEc4JBWXmT/OzB8v\nsPkdwJ3Ap6iOgNwBfAM40KfyJPVBzPmDQ5IGKiJWAN8F3pGZHxl0PZJ6w1MqkgYqIp4PnAbcDZwA\n/Geq0yk3DrIuSb1l4JDUBH9CtVD0IHAP8NLM/OFgS5LUS55SkSRJxbloVJIkFWfgkCRJxRk4JElS\ncQYOSZJUnIFDkiQVZ+CQJEnFGTgkSVJxBg5JklTc/wfPZgNRDn20JAAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nU/IBAAAAwMgp+QAAAABg5P4f3InO4lExsCUAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3a186d0>"
       ]
      },
-     "execution_count": 45,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -962,28 +1153,25 @@
     "plt.hist(train['Mg'],bins=40)\n",
     "plt.xlabel('Mg')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAF5CAYAAADUL/MIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSVJ2Bg5JkpSdgUOSJGX3/wDusizbSLmdTAAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABGTsgHAAAAACP3/wCW+D2gS8u3GwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3c827d0>"
       ]
      },
-     "execution_count": 46,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -991,28 +1179,26 @@
     "plt.hist(train['Al'],bins=40)\n",
     "plt.xlabel('Al')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
+    "plt.show()\n",
     "    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAAF5CAYAAADZMYNPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nVIxBQ5IkFWPQkCRJxfx/17MLommeh1QAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf33095d0>"
       ]
      },
-     "execution_count": 47,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1020,28 +1206,26 @@
     "plt.hist(train['Si'],bins=40)\n",
     "plt.xlabel('Si')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
+    "plt.show()\n",
     "    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAF5CAYAAADUL/MIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwMQp+QAAAABg4v4/3u+/6Kes9s4AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3abb1d0>"
       ]
      },
-     "execution_count": 48,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1049,28 +1233,26 @@
     "plt.hist(train['K'],bins=40)\n",
     "plt.xlabel('K')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
+    "plt.show()\n",
     "    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAAF5CAYAAADZMYNPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n3P8DqIz2QeeyO90AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3a4abd0>"
       ]
      },
-     "execution_count": 49,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1078,28 +1260,25 @@
     "plt.hist(train['Ca'],bins=40)\n",
     "plt.xlabel('Ca')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiUAAAF5CAYAAABAyVr6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nPwCMTax5Tnt0AAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQcAAAMSCAYAAADX9nIkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf2f4de50>"
       ]
      },
-     "execution_count": 50,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1107,28 +1286,25 @@
     "plt.hist(train['Fe'],bins=40)\n",
     "plt.xlabel('Fe')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiUAAAF5CAYAAABAyVr6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQ0AAAMSCAYAAADA1OLtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf3010d10>"
       ]
      },
-     "execution_count": 51,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1136,14 +1312,12 @@
     "plt.hist(train['Ba'],bins=40)\n",
     "plt.xlabel('Ba')\n",
     "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -1151,19 +1325,19 @@
     {
      "data": {
       "text/plain": [
-       "RI    0.470849\n",
-       "Na    0.769483\n",
-       "Mg   -1.390967\n",
-       "Al    1.198670\n",
-       "Si   -0.560738\n",
-       "K     1.777861\n",
-       "Ca    1.137346\n",
-       "Ba    3.066943\n",
-       "Fe    1.855276\n",
+       "RI    0.610683\n",
+       "Na    0.360411\n",
+       "Mg   -1.328926\n",
+       "Al    1.043716\n",
+       "Si   -0.721044\n",
+       "K     6.615089\n",
+       "Ca    0.946308\n",
+       "Ba    3.336587\n",
+       "Fe    1.849913\n",
        "dtype: float64"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1176,7 +1350,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
@@ -1185,6 +1359,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1204,51 +1391,51 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.00000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>197.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>1.517474</td>\n",
-       "      <td>13.406802</td>\n",
-       "      <td>2.791977</td>\n",
-       "      <td>1.516047</td>\n",
-       "      <td>72.813081</td>\n",
-       "      <td>0.484012</td>\n",
-       "      <td>8.619651</td>\n",
-       "      <td>0.182791</td>\n",
-       "      <td>0.053663</td>\n",
-       "      <td>2.773256</td>\n",
+       "      <td>1.517899</td>\n",
+       "      <td>13.422030</td>\n",
+       "      <td>2.787716</td>\n",
+       "      <td>1.473299</td>\n",
+       "      <td>72.712284</td>\n",
+       "      <td>0.51132</td>\n",
+       "      <td>8.752081</td>\n",
+       "      <td>0.159594</td>\n",
+       "      <td>0.054162</td>\n",
+       "      <td>2.751269</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.001324</td>\n",
-       "      <td>0.672000</td>\n",
-       "      <td>1.369472</td>\n",
-       "      <td>0.442586</td>\n",
-       "      <td>0.557500</td>\n",
-       "      <td>0.333308</td>\n",
-       "      <td>0.813593</td>\n",
-       "      <td>0.479453</td>\n",
-       "      <td>0.093852</td>\n",
-       "      <td>2.116707</td>\n",
+       "      <td>0.001956</td>\n",
+       "      <td>0.700471</td>\n",
+       "      <td>1.377272</td>\n",
+       "      <td>0.489300</td>\n",
+       "      <td>0.670696</td>\n",
+       "      <td>0.66570</td>\n",
+       "      <td>0.940938</td>\n",
+       "      <td>0.451968</td>\n",
+       "      <td>0.094399</td>\n",
+       "      <td>2.093250</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>1.514090</td>\n",
-       "      <td>11.950000</td>\n",
+       "      <td>1.512990</td>\n",
+       "      <td>11.030000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.290000</td>\n",
        "      <td>69.890000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
        "      <td>5.790000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
@@ -1256,51 +1443,51 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>1.516450</td>\n",
-       "      <td>12.877500</td>\n",
-       "      <td>2.717500</td>\n",
-       "      <td>1.250000</td>\n",
-       "      <td>72.537500</td>\n",
-       "      <td>0.365000</td>\n",
-       "      <td>8.210000</td>\n",
+       "      <td>1.516510</td>\n",
+       "      <td>12.930000</td>\n",
+       "      <td>2.410000</td>\n",
+       "      <td>1.210000</td>\n",
+       "      <td>72.370000</td>\n",
+       "      <td>0.15000</td>\n",
+       "      <td>8.220000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>1.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>1.517490</td>\n",
-       "      <td>13.260000</td>\n",
-       "      <td>3.480000</td>\n",
-       "      <td>1.430000</td>\n",
-       "      <td>72.865000</td>\n",
-       "      <td>0.570000</td>\n",
-       "      <td>8.530000</td>\n",
+       "      <td>1.517610</td>\n",
+       "      <td>13.290000</td>\n",
+       "      <td>3.490000</td>\n",
+       "      <td>1.400000</td>\n",
+       "      <td>72.830000</td>\n",
+       "      <td>0.56000</td>\n",
+       "      <td>8.570000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>2.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>1.518295</td>\n",
-       "      <td>13.735000</td>\n",
-       "      <td>3.582500</td>\n",
-       "      <td>1.662500</td>\n",
-       "      <td>73.110000</td>\n",
-       "      <td>0.610000</td>\n",
-       "      <td>8.845000</td>\n",
+       "      <td>1.518720</td>\n",
+       "      <td>13.870000</td>\n",
+       "      <td>3.610000</td>\n",
+       "      <td>1.630000</td>\n",
+       "      <td>73.100000</td>\n",
+       "      <td>0.61000</td>\n",
+       "      <td>9.060000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.090000</td>\n",
        "      <td>3.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>1.521010</td>\n",
+       "      <td>1.523000</td>\n",
        "      <td>15.150000</td>\n",
        "      <td>4.490000</td>\n",
        "      <td>3.500000</td>\n",
        "      <td>75.180000</td>\n",
-       "      <td>2.700000</td>\n",
+       "      <td>6.21000</td>\n",
        "      <td>12.500000</td>\n",
        "      <td>2.880000</td>\n",
        "      <td>0.510000</td>\n",
@@ -1311,28 +1498,28 @@
        "</div>"
       ],
       "text/plain": [
-       "               RI          Na          Mg          Al          Si           K  \\\n",
-       "count  172.000000  172.000000  172.000000  172.000000  172.000000  172.000000   \n",
-       "mean     1.517474   13.406802    2.791977    1.516047   72.813081    0.484012   \n",
-       "std      0.001324    0.672000    1.369472    0.442586    0.557500    0.333308   \n",
-       "min      1.514090   11.950000    0.000000    0.290000   69.890000    0.000000   \n",
-       "25%      1.516450   12.877500    2.717500    1.250000   72.537500    0.365000   \n",
-       "50%      1.517490   13.260000    3.480000    1.430000   72.865000    0.570000   \n",
-       "75%      1.518295   13.735000    3.582500    1.662500   73.110000    0.610000   \n",
-       "max      1.521010   15.150000    4.490000    3.500000   75.180000    2.700000   \n",
+       "               RI          Na          Mg          Al          Si          K  \\\n",
+       "count  197.000000  197.000000  197.000000  197.000000  197.000000  197.00000   \n",
+       "mean     1.517899   13.422030    2.787716    1.473299   72.712284    0.51132   \n",
+       "std      0.001956    0.700471    1.377272    0.489300    0.670696    0.66570   \n",
+       "min      1.512990   11.030000    0.000000    0.290000   69.890000    0.00000   \n",
+       "25%      1.516510   12.930000    2.410000    1.210000   72.370000    0.15000   \n",
+       "50%      1.517610   13.290000    3.490000    1.400000   72.830000    0.56000   \n",
+       "75%      1.518720   13.870000    3.610000    1.630000   73.100000    0.61000   \n",
+       "max      1.523000   15.150000    4.490000    3.500000   75.180000    6.21000   \n",
        "\n",
        "               Ca          Ba          Fe        Type  \n",
-       "count  172.000000  172.000000  172.000000  172.000000  \n",
-       "mean     8.619651    0.182791    0.053663    2.773256  \n",
-       "std      0.813593    0.479453    0.093852    2.116707  \n",
+       "count  197.000000  197.000000  197.000000  197.000000  \n",
+       "mean     8.752081    0.159594    0.054162    2.751269  \n",
+       "std      0.940938    0.451968    0.094399    2.093250  \n",
        "min      5.790000    0.000000    0.000000    1.000000  \n",
-       "25%      8.210000    0.000000    0.000000    1.000000  \n",
-       "50%      8.530000    0.000000    0.000000    2.000000  \n",
-       "75%      8.845000    0.000000    0.090000    3.000000  \n",
+       "25%      8.220000    0.000000    0.000000    1.000000  \n",
+       "50%      8.570000    0.000000    0.000000    2.000000  \n",
+       "75%      9.060000    0.000000    0.090000    3.000000  \n",
        "max     12.500000    2.880000    0.510000    7.000000  "
       ]
      },
-     "execution_count": 54,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1345,7 +1532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -1354,6 +1541,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1368,27 +1568,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>55</td>\n",
+       "      <td>67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>64</td>\n",
+       "      <td>67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>14</td>\n",
+       "      <td>17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>7</td>\n",
+       "      <td>12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>7</td>\n",
+       "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>25</td>\n",
+       "      <td>26</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1397,15 +1597,15 @@
       "text/plain": [
        "col_0  count\n",
        "Type        \n",
-       "1         55\n",
-       "2         64\n",
-       "3         14\n",
-       "5          7\n",
-       "6          7\n",
-       "7         25"
+       "1         67\n",
+       "2         67\n",
+       "3         17\n",
+       "5         12\n",
+       "6          8\n",
+       "7         26"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1416,504 +1616,414 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\hpp\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3834: RuntimeWarning: Invalid value encountered in percentile\n",
-      "  RuntimeWarning)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>RI</th>\n",
-       "      <th>Na</th>\n",
-       "      <th>Mg</th>\n",
-       "      <th>Al</th>\n",
-       "      <th>Si</th>\n",
-       "      <th>K</th>\n",
-       "      <th>Ca</th>\n",
-       "      <th>Ba</th>\n",
-       "      <th>Fe</th>\n",
-       "      <th>Type</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>1.720000e+02</td>\n",
-       "      <td>1.720000e+02</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>1.720000e+02</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>172.000000</td>\n",
-       "      <td>138.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>3.507953e-03</td>\n",
-       "      <td>1.697161e-01</td>\n",
-       "      <td>15.423279</td>\n",
-       "      <td>0.806488</td>\n",
-       "      <td>1.009147e+17</td>\n",
-       "      <td>0.376867</td>\n",
-       "      <td>1.554420</td>\n",
-       "      <td>0.023517</td>\n",
-       "      <td>0.016929</td>\n",
-       "      <td>1.811594</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>1.478820e-17</td>\n",
-       "      <td>6.588088e-09</td>\n",
-       "      <td>8.266208</td>\n",
-       "      <td>0.132788</td>\n",
-       "      <td>7.252737e+15</td>\n",
-       "      <td>0.220777</td>\n",
-       "      <td>0.037008</td>\n",
-       "      <td>0.047944</td>\n",
-       "      <td>0.025632</td>\n",
-       "      <td>0.892391</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>3.507953e-03</td>\n",
-       "      <td>1.697161e-01</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.246425</td>\n",
-       "      <td>6.823150e+16</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.390330</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>3.507953e-03</td>\n",
-       "      <td>1.697161e-01</td>\n",
-       "      <td>11.654279</td>\n",
-       "      <td>0.731420</td>\n",
-       "      <td>9.711826e+16</td>\n",
-       "      <td>0.313961</td>\n",
-       "      <td>1.536844</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>3.507953e-03</td>\n",
-       "      <td>1.697161e-01</td>\n",
-       "      <td>19.282693</td>\n",
-       "      <td>0.793182</td>\n",
-       "      <td>1.013635e+17</td>\n",
-       "      <td>0.457031</td>\n",
-       "      <td>1.552295</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>3.507953e-03</td>\n",
-       "      <td>1.697161e-01</td>\n",
-       "      <td>20.488781</td>\n",
-       "      <td>0.864928</td>\n",
-       "      <td>1.046472e+17</td>\n",
-       "      <td>0.482876</td>\n",
-       "      <td>1.566831</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.046975</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>3.507953e-03</td>\n",
-       "      <td>1.697161e-01</td>\n",
-       "      <td>33.193077</td>\n",
-       "      <td>1.245689</td>\n",
-       "      <td>1.364329e+17</td>\n",
-       "      <td>1.359280</td>\n",
-       "      <td>1.699600</td>\n",
-       "      <td>0.130503</td>\n",
-       "      <td>0.062953</td>\n",
-       "      <td>5.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 RI            Na          Mg          Al            Si  \\\n",
-       "count  1.720000e+02  1.720000e+02  172.000000  172.000000  1.720000e+02   \n",
-       "mean   3.507953e-03  1.697161e-01   15.423279    0.806488  1.009147e+17   \n",
-       "std    1.478820e-17  6.588088e-09    8.266208    0.132788  7.252737e+15   \n",
-       "min    3.507953e-03  1.697161e-01    0.000000    0.246425  6.823150e+16   \n",
-       "25%    3.507953e-03  1.697161e-01   11.654279    0.731420  9.711826e+16   \n",
-       "50%    3.507953e-03  1.697161e-01   19.282693    0.793182  1.013635e+17   \n",
-       "75%    3.507953e-03  1.697161e-01   20.488781    0.864928  1.046472e+17   \n",
-       "max    3.507953e-03  1.697161e-01   33.193077    1.245689  1.364329e+17   \n",
-       "\n",
-       "                K          Ca          Ba          Fe        Type  \n",
-       "count  172.000000  172.000000  172.000000  172.000000  138.000000  \n",
-       "mean     0.376867    1.554420    0.023517    0.016929    1.811594  \n",
-       "std      0.220777    0.037008    0.047944    0.025632    0.892391  \n",
-       "min      0.000000    1.390330    0.000000    0.000000    1.000000  \n",
-       "25%      0.313961    1.536844    0.000000    0.000000         NaN  \n",
-       "50%      0.457031    1.552295    0.000000    0.000000         NaN  \n",
-       "75%      0.482876    1.566831    0.000000    0.046975         NaN  \n",
-       "max      1.359280    1.699600    0.130503    0.062953    5.000000  "
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from scipy.stats import boxcox\n",
-    "features_bc = []\n",
+    "# from scipy.stats import boxcox\n",
+    "# features_bc = []\n",
     "\n",
-    "for feature in feat:\n",
-    "    bc_transformed, _ = boxcox(train[feature]+1)  # shift by 1 to avoid computing log of negative values\n",
-    "    features_bc.append(bc_transformed)\n",
+    "# for feature in feat:\n",
+    "#     bc_transformed, _ = boxcox(train[feature]+1)  # shift by 1 to avoid computing log of negative values\n",
+    "#     features_bc.append(bc_transformed)\n",
     "\n",
-    "features_boxcox = np.column_stack(features_bc)\n",
-    "df_bc = pd.DataFrame(data=features_boxcox, columns=feat)\n",
-    "df_bc['Type'] = train['Type']\n",
-    "df_bc.describe()"
+    "# features_boxcox = np.column_stack(features_bc)\n",
+    "# df_bc = pd.DataFrame(data=features_boxcox, columns=feat)\n",
+    "# df_bc['Type'] = train['Type']\n",
+    "# df_bc.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 37,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "RI    0.000000\n",
-      "Na    0.000000\n",
-      "Mg   -1.002918\n",
-      "Al   -0.035515\n",
-      "Si    0.117081\n",
-      "K     0.007275\n",
-      "Ca   -0.055444\n",
-      "Ba    1.635453\n",
-      "Fe    0.904664\n",
-      "dtype: float64\n",
-      "\n",
-      "\n",
-      "RI    0.470849\n",
-      "Na    0.769483\n",
-      "Mg   -1.390967\n",
-      "Al    1.198670\n",
-      "Si   -0.560738\n",
-      "K     1.777861\n",
-      "Ca    1.137346\n",
-      "Ba    3.066943\n",
-      "Fe    1.855276\n",
-      "dtype: float64\n"
-     ]
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "# print(df_bc[feat].skew())\n",
+    "# print(\"\\n\")\n",
+    "# print(train[feat].skew())\n",
+    "#boxcox helped a lot in reducing skewness and all the variables are on same scale now so no leverage to any one."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# df_bc.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
    "source": [
-    "print(df_bc[feat].skew())\n",
-    "print(\"\\n\")\n",
-    "print(train[feat].skew())\n",
-    "#boxcox helped a lot in reducing skewness and all the variables are on same scale now so no leverage to any one.\n"
+    "# df_bc['Type'].value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 40,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# df_bc.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiUAAAF5CAYAAABAyVr6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABR0AAAMSCAYAAADnemMFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "<matplotlib.figure.Figure at 0x7febf39b4e50>"
       ]
      },
-     "execution_count": 66,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nuf8P/Dm8cIP61jQAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf2da3090>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABOoAAAMSCAYAAADUZCslAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nqAMAAACAEVDUAQAAAMAI/H9VH4ha3qvA1wAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf38bb2d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQAAAAMSCAYAAAA1KmldAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf2e92350>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n6jblHwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf2f85990>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABOoAAAMSCAYAAADUZCslAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngEIdAAAAAPSAQh0AAAAA9MD/B8sev1PNVmD/AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf32eda90>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPkAAAMSCAYAAAAY/RHOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf3106a90>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQAAAAMTCAYAAAD+drr4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf2e3ded0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABQAAAAMSCAYAAAA1KmldAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n20z0vyYAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7febf3c11050>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['RI'],bins=40)\n",
-    "plt.xlabel('RI')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "for i in feat:\n",
+    "    sns.boxplot(train['Type'],train[i])\n",
+    "    plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 43,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "msk = np.random.rand(len(train)) < 0.8\n",
+    "test = train[~msk]\n",
+    "train = train[msk]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAAF5CAYAAADZMYNPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "(146, 10)"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['Mg'],bins=40)\n",
-    "plt.xlabel('Mg')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "train.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 45,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiAAAAF5CAYAAACm4JG+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAHZtJREFUeJzt3XuUpHV95/H3d+QyDoYm0joQtRVEx2ZdMN3eWIKQRUU9\nu8ZL4qa1Vy4a5OCFHRPj5igrSlZXPGaIKK7HuCgZ6A05JgGzA6OiGBEFpcEbzSA4WA6XkZLQGIZG\nYX77x1Mt1WVPd3V11e+py/t1Th26nufXT33rx2+6P/08v+dXkVJCkiQppzVlFyBJkgaPAUSSJGVn\nAJEkSdkZQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlV3oAiYjTIuK7ETFb\ne1wTES9raPOBiLgzInZFxJci4rCy6pUkSatXegABfgq8GxgDxoGvAJdGxChARLwbeBtwKvB84AFg\na0TsU065kiRptaIbP4wuIn4O/FlK6YKIuBP4SEppU23f/sBO4MSU0iVl1ilJklrTDWdAfi0i1kTE\nHwPrgGsi4hDgIODK+TYppfuBa4GjyqlSkiSt1l5lFwAQEc8GvgmsBX4BvDqltC0ijgISxRmPejsp\ngokkSepBXRFAgJuBI4Eh4A+BCyPiRa0eLCIOBE4Abgfm2lGgJEkDYi3wNGBrSunnnXqRrgggKaWH\ngR/Xnt4QEc8HzgDOAQJYz8KzIOuBG5Y45AnARR0oVZKkQfEG4OJOHbwrAsgi1gD7ppS2R8TdwPHA\n9+DXk1BfAHxiie+/HWDz5s2Mjo52uNTut3HjRjZt2lR2GaWzHx5lXxTsh4L98Cj7AmZmZpicnITa\n79JOKT2ARMQHgcuBCvBbFInrWOCltSbnAu+NiFspOuNsYAdw6RKHnQMYHR1lbGysM4X3kKGhIfsB\n+6GefVGwHwr2w6PsiwU6OoWh9AACPBH4HHAwMEtxpuOlKaWvAKSUzomIdcCngAOArwMvTyn9sqR6\nJUnSKpUeQFJKb26izVnAWR0vRpIkZdFV64BIkqTBYAAZABMTE2WX0BXsh0fZFwX7oWA/PMq+yKcr\nl2JfrYgYA66//vrrnUwkSdIKTE9PMz4+DjCeUpru1Ot4BkSSJGVnAJEkSdkZQCRJUnYGEEmSlJ0B\nRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlZwCRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZ\nQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlZwCRJEnZ7VV2AZLUSZVKhWq1\n2lTb4eFhRkZGOlyRJDCASOpjlUqFDRtGmZvb1VT7tWvXsW3bjCFEysAAIqlvVavVWvjYDIwu03qG\nublJqtWqAUTKwAAiaQCMAmNlFyGpjpNQJUlSdgYQSZKUnQFEkiRlZwCRJEnZGUAkSVJ2BhBJkpSd\nt+FKUp2ZmZll27hiqrR6BhBJAuAuYA2Tk5PLtnTFVGn1DCCSBMB9wG6WXzXVFVOldjCASNICrpoq\n5eAkVEmSlJ0BRJIkZVd6AImIv4iI6yLi/ojYGRH/GBHPbGhzQUTsbnhsKatmSZK0OqUHEOAY4Dzg\nBcCLgb2BL0bEYxvaXQ6sBw6qPSZyFilJktqn9EmoKaVX1D+PiJOAnwHjwNV1ux5KKd2TsTRJktQh\n3XAGpNEBQALubdh+XO0Szc0RcX5EPL6E2iRJUhuUfgakXkQEcC5wdUrpprpdlwOfB7YDTwc+BGyJ\niKNSSil/pZIkaTW6KoAA5wOHA0fXb0wpXVL39IcR8X3gNuA44Kt7OtjGjRsZGhpasG1iYoKJCaeP\nSJI0NTXF1NTUgm2zs7NZXrtrAkhEfBx4BXBMSumupdqmlLZHRBU4jCUCyKZNmxgbc0EhSZIWs9gf\n5dPT04yPj3f8tbsigNTCxx8Ax6aUKk20fzJwIMWHN0iSpB5T+iTUiDgfeAPweuCBiFhfe6yt7d8v\nIs6JiBdExFMj4njgn4BbgK3lVS5JklpVegABTgP2B64C7qx7vK62/xHgCOBSYBvwaeDbwItSSr/K\nXawkSVq90i/BpJSWDEEppTngZZnKkSRJGXTDGRBJkjRgDCCSJCk7A4gkScrOACJJkrIzgEiSpOwM\nIJIkKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrO\nACJJkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTs\nDCCSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpOwOIJEnK\nzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrOACJJkrIrPYBExF9ExHURcX9E7IyIf4yIZy7S7gMRcWdE\n7IqIL0XEYWXUK0mSVq/0AAIcA5wHvAB4MbA38MWIeOx8g4h4N/A24FTg+cADwNaI2Cd/uZIkabX2\nKruAlNIr6p9HxEnAz4Bx4Ora5jOAs1NK/1xr80ZgJ/Aq4JJsxUqSpLbohjMgjQ4AEnAvQEQcAhwE\nXDnfIKV0P3AtcFQZBUqSpNXpqgASEQGcC1ydUrqptvkgikCys6H5zto+SZLUY0q/BNPgfOBw4Oiy\nC5EkSZ3TNQEkIj4OvAI4JqV0V92uu4EA1rPwLMh64Ialjrlx40aGhoYWbJuYmGBiYqItNUuS1Mum\npqaYmppasG12djbLa3dFAKmFjz8Ajk0pVer3pZS2R8TdwPHA92rt96e4a+YTSx1306ZNjI2NdaZo\nSZJ63GJ/lE9PTzM+Pt7x1y49gETE+cAE8ErggYhYX9s1m1Kaq319LvDeiLgVuB04G9gBXJq5XEmS\n1AalBxDgNIpJplc1bD8ZuBAgpXRORKwDPkVxl8zXgZenlH6ZsU5JktQmpQeQlFJTd+KklM4Czupo\nMZIkKYuuug1XkiQNBgOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIk\nKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrOACJJ\nkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpu73KLkCS6lUqFarV6rLthoeHGRkZ\nyVCRpE4wgEjqGpVKhQ0bRpmb27Vs27Vr17Ft24whROpRBhBJXaNardbCx2ZgdImWM8zNTVKtVg0g\nUo8ygEjqQqPAWNlFSOogJ6FKkqTsDCCSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIkKTtvw5WkFszM\nzCzbxtVapT1bcQCJiBuA1EzblJI38kvqM3cBa5icnFy2pau1SnvWyhmQK4DTgZuAb9a2vRD4d8An\ngQfbU5okdaP7gN24Wqu0Oq0EkCcAH0spnVm/MSLeDzwlpXRKWyqTpK7maq3SarQyCfWPgAsX2b4Z\neO3qypEkSYOglQDyIHD0ItuPBuZWV44kSRoErQSQc4FPRsTHImKy9jgP+ASwqZUiIuKYiLgsIu6I\niN0R8cqG/RfUttc/trTyWpIkqXwrngOSUvpfEfFj4Axgfhr4DHBySumSFuvYD7gR+AzwD3toczlw\nEhC15w+1+FqSJKlkLa0DUgsarYaNxY53BcXdNURE7KHZQymle9r1mpIkqTwtrYQaEQdExJsj4oMR\n8fjatrGIeFJ7y1vguIjYGRE3R8T5868rSZJ6TysLkR0BfBmYBZ4G/A1wL/AaYAR4Yxvrm3c58Hlg\nO/B04EPAlog4KqXU1KJokiSpe7RyCeavgM+mlP48In5Rt30LcHF7ylqoYW7JDyPi+8BtwHHAVzvx\nmpLap1KpUK1Wl23XzPLmK2m/0uNJyqeVAPI84C2LbL8DOGh15TQnpbQ9IqrAYSwRQDZu3MjQ0NCC\nbRMTE0xMTHS4QknzKpUKGzaMMje3q41HbX45dEl7NjU1xdTU1IJts7OzWV67lQDyELD/ItufCWSZ\nJBoRTwYOpPgptEebNm1ibMyVCqUyVavVWvhYbulyKE6knrlMG2h+OfRmjycNpsX+KJ+enmZ8fLzj\nr91KALkM+B8R8bra8xQRI8CHKeZprFhE7EdxNmP+DphDI+JIirkl9wLvqx377lq7DwO3AFtbeT1J\nZWhm6fKVXjJZ7phegpG6VSt3wfwp8DjgZ8Bjga8BtwK/AN7TYh3PBW4Arqf4pN2PAtPA+4FHgCOA\nS4FtwKeBbwMvSin9qsXXkyRJJWplIbJZ4CURcTRwJEUYmU4pfbnVIlJKX2PpMPSyVo8tSZK6z4oC\nSETsTbFg2GkppW8A3+hIVZIkqa+t6BJM7ZLHER2qRZIkDYhW5oBsBt7U7kIkSdLgaOUumL2AUyLi\nxRSTRh+o35lSemc7CpMkSf2rqQBSW379Byml3cCzKe5QgWLtj3ouiy5JdZpZjXV4eJiRkZEM1Ujd\no9kzIDcAB1PcevtU4HkppZ93rCpJ6nnNr9a6du06tm2bMYRooDQbQO4DDqEIIE+jxU/RlaTB0exq\nrTPMzU1SrVYNIBoozQaQzwNfi4i7KC6zfCciHlmsYUrp0HYVJ0m9r5kVYKXB01QASSmdGhH/QLEM\n+scoViP9xdLfJUmStLim74JJKV0BEBHjwF+nlAwgkiSpJa0sxX5yJwqRJEmDw8mkkiQpOwOIJEnK\nzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk\n7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrOACJJkrIzgEiSpOwMIJIkKTsDiCRJ\nys4AIkmSsjOASJKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScquKwJIRBwTEZdF\nxB0RsTsiXrlImw9ExJ0RsSsivhQRh5VRqyRJWr2uCCDAfsCNwOlAatwZEe8G3gacCjwfeADYGhH7\n5CxSkiS1x15lFwCQUroCuAIgImKRJmcAZ6eU/rnW5o3ATuBVwCW56pQkSe3RLWdA9igiDgEOAq6c\n35ZSuh+4FjiqrLokSVLruj6AUISPRHHGo97O2j5JktRjuuISTKds3LiRoaGhBdsmJiaYmJgoqSJJ\nkrrH1NQUU1NTC7bNzs5mee1eCCB3AwGsZ+FZkPXADUt946ZNmxgbG+tgaZIk9a7F/iifnp5mfHy8\n46/d9ZdgUkrbKULI8fPbImJ/4AXANWXVJUmSWtcVZ0AiYj/gMIozHQCHRsSRwL0ppZ8C5wLvjYhb\ngduBs4EdwKUllCtJklapKwII8FzgqxSTTRPw0dr2zwGnpJTOiYh1wKeAA4CvAy9PKf2yjGIlSdLq\ndEUASSl9jWUuB6WUzgLOylGPJEnqrK6fAyJJkvqPAUSSJGVnAJEkSdkZQCRJUnYGEEmSlJ0BRJIk\nZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlZwCRJEnZGUAkSVJ2BhBJkpSdAUSSJGW3V9kFSOpdlUqF\narW6ZJuZmZlM1UjqJQYQSS2pVCps2DDK3NyuskuR1IMMIJJaUq1Wa+FjMzC6RMstwJl5ipLUMwwg\nklZpFBhbYr+XYCT9JiehSpKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7b8OVpC7Q7Iqx\nw8PDjIyMdLgaqfMMIJJUqruANUxOTjbVeu3adWzbNmMIUc8zgEhSqe4DdrP8irIAM8zNTVKtVg0g\n6nkGEEnqCsutKCv1FyehSpKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gkScrOACJJ\nkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsuuJABIR74uI3Q2Pm8quS5IktaaXPg33B8DxQNSeP1xi\nLZIkaRV6KYA8nFK6p+wiJEnS6vXEJZiaZ0TEHRFxW0RsjoinlF2QJElqTa8EkG8BJwEnAKcBhwD/\nEhH7lVmUJElqTU9cgkkpba17+oOIuA74CfA64IJyqpKk7lWpVKhWq8u2Gx4eZmRkJENF0kI9EUAa\npZRmI+IW4LCl2m3cuJGhoaEF2yYmJpiYmOhkeZJUqkqlwoYNo8zN7Vq27dq169i2bcYQMqCmpqaY\nmppasG12djbLa/dkAImIx1GEjwuXardp0ybGxsbyFCVJXaJardbCx2ZgdImWM8zNTVKtVg0gA2qx\nP8qnp6cZHx/v+Gv3RACJiI8AX6C47PIk4P3Ar4Cppb5PkgbbKOAfYepOPRFAgCcDFwMHAvcAVwMv\nTCn9vNSqJElSS3oigKSUnLQhSVIf6ZXbcCVJUh8xgEiSpOwMIJIkKTsDiCRJyq4nJqFKkh41MzOz\nqv1SNzCASFLPuAtYw+TkZNmFSKtmAJGknnEfsJvlVzjdApyZpSKpVQYQSeo5y61w6iUYdT8noUqS\npOwMIJIkKTsDiCRJys4AIkmSsjOASJKk7AwgkiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gk\nScrOACJJkrIzgEiSpOwMIJIkKTsDiCRJys4AIkmSsjOASJKk7PYquwA17z3veR9/+7cXNdX27W8/\nnXe9650drkhSP5iZmVm2zUMPPcS+++7b1PGabTs8PMzIyEhTx2y3SqVCtVpdtl2ZNfY7A0gPufDC\nzezY8UTguGVaXsHmzRcbQCQt4y5gDZOTk020fQzwSJPHba7t2rXr2LZtJvsv+EqlwoYNo8zN7Vq2\nbVk1DgIDSM85DvjQMm3uA77d+VIk9bj7gN3AZmB0iXZbgDObaLeStjPMzU1SrVaz/3KvVqu18NG9\nNQ4CA4gkDbxRYGyJ/TNNtltp27L1Qo39y0mokiQpOwOIJEnKzgAiSZKyM4BIkqTsDCCSJCk7A4gk\nScrO23DV9ZpdsRB6Y9XCdq/A2G/9IzUqe4z3y0qxzfZjM++3HQwg6morWbEQun/VwnavwNhv/SM1\nKneM989KsSvtxxwMIOpqza9YCL2wamG7V2Dst/6RGpU7xvtnpdiV9eN8jZ1lAFGP6LcVC9v9fvqt\nf6RGZY7xflopdiU1dpaTUCVJUnYGEEmSlF1PBZCIeGtEbI+IByPiWxHxvLJr6gVTU1Nll9AV7IdH\n2Rfz7IfCFWUX0EUcE7n0TACJiP8CfBR4H/C7wHeBrRExXGphPcBfNgX74VH2xTz7obC17AK6iGMi\nl54JIMBG4FMppQtTSjcDpwG7gFPKLUuSJK1UTwSQiNgbGAeunN+WUkrAl4GjyqpLkiS1plduwx2m\nWLllZ8P2ncCG/OWU6W5gepk29+QoRJKklvVKAFmptZBvOdlcnvCEA9mx47PAZ5dtu99+R3PRRRcB\nsGPHjl9/3WjNmjXs3r27qddvtm07223fvr321RaWvze9aLtly5ZF/9/X90O730uzbZt/P0u/l5Uf\nb+ExlxoT0O738o0V1Nhs23a12wFc1GTbsmrM8do7ebQfctXY2THe+jE7OSZW0ra59wKd+Fk6X2Px\nu7RToriS0d1ql2B2Aa9NKV1Wt/2zwFBK6dUN7V/P0v+aJEnS0t6QUrq4UwfviTMgKaVfRcT1wPHA\nZQAREbXnH1vkW7YCbwBuB+YylSlJUj9YCzyNDt8e1RNnQAAi4nUU1x5OA66juCvmD4FnpZSc9CBJ\nUg/piTMgACmlS2prfnwAWA/cCJxg+JAkqff0zBkQSZLUP3piHRBJktRfDCCSJCm7rg8gEXFMRFwW\nEXdExO6IeOUy7Y+OiKsjohoRuyJiJiL+W0ObE2vHeqT2390Rsauz72T1VtoXDd97dET8KiJ+YxWz\niPijWj89GBHfjYiXt7fy9upEPwzKmIiIY+ve3+669/zEhnZ9PSaa6YdeHBOt/NuIiH0i4n9GxO0R\nMRcRP46Ikxra9NR4gM70xSCMiYi4YJH3uDsivt/QbtVjousDCLAfxYTT04FmJqw8AJwHHAM8Czgb\n+MuIeHNDu1ngoLrHU9tVcAettC8AiIgh4HMUS9c37vsPwMXAp4HnAJcC/xQRh7ej4A5pez/UDMqY\nSMAzePR9HpxS+tn8zgEaE0v2Q02vjYlW+uHvgd8HTgaeCUwA2+Z39uh4gA70RU2/j4l3UPv3UPvv\nk4F7gUvmG7RtTKSUeuYB7AZe2cL3fR74XN3zE4F7y34/ufqC4uMd30/xScLTDfv+L3BZw7ZvAueX\n/R4z98NAjAngWOARYP8l2vT9mGiyH3p6TDTZDy+r/XI5oF/HQ5v7ou/HxCLf8yrgYeAp7R4TvXAG\nZFUi4ncpPrDuqoZdj6udZqtERC+k+ZZExMnAIRS/eBdzFL95RmArffYhf030AwzImAACuDEi7oyI\nL9b+mqk3EGOC5fsB+n9M/GfgO8C7I2JHRGyLiI9ERP0S3IMyHprpC+j/MdHoFODLKaWf1m1ry5jo\nmXVAVioifgo8geJD7M5KKV1Qt3sbRad+DxgC3gVcExGHp5TuzF5sh0TEM4APAr+XUtodEYs1O4jF\nP+TvoA6Xl02T/TAQYwK4C3gLxQ/afYE/Aa6KiOenlG6sten7MUFz/TAIY+JQisvVcxR/6Q4DnwQe\nD7yp1mYQxgM01xeDMCZ+LSIOBl4O/HHDrraMib4NIMDvAY8DXgh8OCJuTSn9HUBK6VvAt+YbRsQ3\nKT6d5y0Up+d7XkSsofg8nPellG6b31xiSaVoth8GYUwApJRuAW6p2/StiHg6xcrCJ5ZTVX7N9MOA\njIk1FKflX59S+jeAiHgn8PcRcXpK6aFSq8tr2b4YkDFR7yTgXynmeLRd3waQlNJPal/+MCIOAs4C\n/m4PbR+OiBuAwzKVl8NvAc8FnhMRn6htW0PxMTq/BF6aUroKuJtiZdl662vb+0Gz/bBAn46JPbkO\nOLrueb+PiT1p7IcF+nRM3AXcMf8Lt2aGIqQ/GbiNwRkPzfTFAn06JuqdDFyYUnq4YXtbxkTfzwGp\neQzFadZF1f5K/vcUA7Bf3A88m2KG8pG1x/8Gbq59fW2t3TcpPtSv3ktq2/tBs/2wQJ+OiT15Dgvf\nZ7+PiT1p7IcF+nRMfAP4nYhYV7dtA8WZgB2154MyHprpiwX6dEwAEBHHAU8HPrPI7raMia4/AxIR\n+1Gky/nT5odGxJEUM5F/GhEfAn4npXRirf3pQIXiFwwUs93/FDi37phnUpxGuxU4APhzYAT4m86/\no9atpC9SMS35pobv/xkwl1Kaqdv81xTXvt8J/D+K287GKa6Jd6VO9MMgjIla+zOA7cAPKT7x8k8o\nbjt8Sd1h+3pM1Nov2w+9OCZW2g8Ut1K+F7ggIs6imDd3DvCZussvPTceoDN9MSBjYt6bgGsbfl/M\na8+YKPu2oCZuATqWIoE+0vD4P7X9FwBfqWv/NuD7wC8orl19Bzi14Zh/RfHD50HgTuALwBFlv9d2\n98Ui3/8bt5/Wtr+WIrA9SDG56oSy32vufhiUMUExae5HFOvl3ANcCbxo0MZEM/3Qi2OilX8bFOtd\nbAX+DfgJxS/dfXt5PHSqLwZoTOxf64NTljjuqseEH0YnSZKyG5Q5IJIkqYsYQCRJUnYGEEmSlJ0B\nRJIkZWcAkSRJ2RlAJElSdgYQSZKUnQFEkiRlZwCRJEnZGUAkdUxErI+I8yLitoiYi4ifRMRlEfEf\ny65NUrm6/sPoJPWmiHgqcA1wL8UHQv4A2Bt4GfBx4PDyqpNUNj8LRlJHRMQW4NnAM1NKcw379k8p\n3R8RG4GTgUMpgsoXgHellHZlL1hSVl6CkdR2EfHbwAnAxxvDB0BK6f7al48Ab6c4G/JG4PcpPoFU\nUp/zDIiktouI5wHXAq9OKV26gu97LfDJlNITO1acpK7gHBBJnRBNNYp4MfDfgWcB+1P8TNo3ItYu\nduZEUv/wEoykTvgRkCiCxaJqk1S/ANwIvAYYA95a271PpwuUVC4DiKS2Syn9K7AVeGtEPLZxf0QM\nAeMUl4H/LKV0XUrpVuBJmUuVVBIDiKROeSvwGOC6iHhNRBwWEc+KiHdQ3J77I2CfiHhHRBwSEf8V\neEuZBUvKx0mokjomItYD7wH+E3AwcA/wPeC8lNLWiDgDeBdwAPAvwEXAhcBv190pI6kPGUAkSVJ2\nXoKRJEnZGUAkSVJ2BhBJkpSdAUSSJGVnAJEkSdkZQCRJUnYGEEmSlJ0BRJIkZWcAkSRJ2RlAJElS\ndgYQSZKUnQFEkiRl9/8BJRg89E42LPAAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "(51, 10)"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['Ca'],bins=40)\n",
-    "plt.xlabel('Ca')\n",
-    "plt.ylabel(\"freq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "test.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 46,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAF5CAYAAADUL/MIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "2    54\n",
+       "1    47\n",
+       "7    17\n",
+       "3    14\n",
+       "5     8\n",
+       "6     6\n",
+       "Name: Type, dtype: int64"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['Si'],bins=40)\n",
-    "plt.xlabel('Si')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "train['Type'].value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 47,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAF5CAYAAADUL/MIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n8LGRAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "1    20\n",
+       "2    13\n",
+       "7     9\n",
+       "5     4\n",
+       "3     3\n",
+       "6     2\n",
+       "Name: Type, dtype: int64"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['K'],bins=40)\n",
-    "plt.xlabel('K')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "test['Type'].value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 70,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn import svm\n",
+    "from sklearn.model_selection import cross_val_score,GridSearchCV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAikAAAF5CAYAAABa9bp0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "{'C': 1, 'gamma': 1}"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['Ba'],bins=40)\n",
-    "plt.xlabel('Ba')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "param_grid={'C':[0.01,0.1,1,5,10], 'gamma' :[0.01, 0.1, 1,6]}\n",
+    "grid_search = GridSearchCV(svm.SVC(kernel='rbf'), param_grid, cv=5)\n",
+    "grid_search.fit(train[feat],train['Type'])\n",
+    "grid_search.best_params_"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 75,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAikAAAF5CAYAAABa9bp0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAHStJREFUeJzt3X+0XWV95/H3N4QfgithddBEl0VCqQGnCnIRzDjaqVEZ\ndLQ4tupVxGItpYhirEtgxGlK1moLMxqkg130x1gFvC6qtqCLISJYBVRQbhSrkYFFmBgg0QgETEiC\n5Dt/7H3NyeHm/sg9++zn3Lxfa52Ve579nL2/+1kn937Os3+cyEwkSZJKM6ftAiRJksZjSJEkSUUy\npEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRSoipETEKyLiuoh4\nICJ2RsQbO5bNjYiLI+KuiPhF3efTEfGcrnUcGBGXR8SmiHg8Ij4fEc/u/95IkqReKCKkAIcA3wPO\nBrq/TOhg4Djgz4GXAG8CFgPXdvW7FHg98GbglcBzgS80V7IkSWpSlPYFgxGxEzg1M6+boM8JwO3A\n8zNzfUTMA34GvC0z/7nusxhYA7wsM+/oQ+mSJKmHSplJma5DqWZcHq2fDwFzgZvGOmTm3cA6YEnf\nq5MkSTM2cCElIg4E/gr4bGb+om5eCOzIzMe6um+sl0mSpAEzt+0CpiMi5gL/RDWLcvYM1/XvgJOB\n+4FtMy5OkqR9x0HAEcCqzPx5UxsZmJDSEVB+HXhVxywKwAbggIiY1zWbsqBeNp6TgasbKVaSpH3D\nO4DPNrXygQgpHQHlSOB3MvORri53Ar8ElgKdJ84eDnxrD6u9H+Cqq67imGOOaaDqwbJs2TJWrlzZ\ndhmtcxwqjsMujkXFcdjFsYA1a9Zw2mmnQf23tClFhJSIOAQ4Coi66ciIOBZ4GHiI6lLi44D/Auwf\nEQvqfg9n5pOZ+VhE/APw8Yh4BHgcuAy4bYIre7YBHHPMMRx//PGN7NcgmT9/vuOA4zDGcdjFsag4\nDrs4Frtp9HSJIkIKcALwNapzTRL4WN3+aar7o7yhbv9e3R71898BvlG3LQOeAj4PHAjcALx3sg3v\n2LGD7du3T9hnzpw57L///lPfG0mSNGNFhJTM/DoTX2k06VVImbkdeF/9mLIlSya/Qnn+/F9j9erv\nsmjRoumsWpIkzUARIaVdK6hOUN6Tn7N58we45557DCmSJPWRIYXXARMdW/wJ8IE+1dKe4eHhtkso\nguNQcRx2cSwqjsMujkX/FHdb/H6JiOOBO6sLgyYLKYezatUqXvva1/anOEmSCjY6OsrQ0BDAUGaO\nNrWdgbvjrCRJ2jcYUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKk\nIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmS\nJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRD\niiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQV\nqYiQEhGviIjrIuKBiNgZEW8cp89FEfFgRGyNiBsj4qiu5QdGxOURsSkiHo+Iz0fEs/u3F5IkqZeK\nCCnAIcD3gLOB7F4YEecB5wBnAicCW4BVEXFAR7dLgdcDbwZeCTwX+EKzZUuSpKbMbbsAgMy8AbgB\nICJinC7nAisy88t1n9OBjcCpwDURMQ94N/C2zPx63ecMYE1EnJiZd/RhNyRJUg+VMpOyRxGxCFgI\n3DTWlpmPAbcDS+qmE6gCV2efu4F1HX0kSdIAKT6kUAWUpJo56bSxXgawANhRh5c99ZEkSQOkiMM9\n7VoGzO9qG64fkiTt20ZGRhgZGdmtbfPmzX3Z9iCElA1AUM2WdM6mLABWd/Q5ICLmdc2mLKiXTWAl\ncHyvapUkaVYZHh5meHj3D+6jo6MMDQ01vu3iD/dk5lqqoLF0rK0+UfYk4Jt1053AL7v6LAYOB77V\nt2IlSVLPFDGTEhGHAEdRzZgAHBkRxwIPZ+ZPqC4vvjAi7gXuB1YA64FroTqRNiL+Afh4RDwCPA5c\nBtzmlT2SJA2mIkIK1dU5X6M6QTaBj9XtnwbenZmXRMTBwBXAocAtwCmZuaNjHcuAp4DPAwdSXdL8\n3v6UL0mSeq2IkFLf22TCQ0+ZuRxYPsHy7cD76ockSRpwxZ+TIkmS9k2GFEmSVCRDiiRJKpIhRZIk\nFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiR\nJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZ\nUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSp\nSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRBiKkRMSciFgREfdFxNaI\nuDciLhyn30UR8WDd58aIOKqNeiVJ0swNREgBzgf+GDgbOBr4MPDhiDhnrENEnAecA5wJnAhsAVZF\nxAH9L1eSJM3U3LYLmKIlwLWZeUP9fF1EvJ0qjIw5F1iRmV8GiIjTgY3AqcA1/SxWkiTN3KDMpHwT\nWBoRvwkQEccCLweur58vAhYCN429IDMfA26nCjiSJGnADMpMyl8B84AfR8RTVOHqI5n5uXr5QiCp\nZk46bayXSZKkATMoIeWtwNuBtwE/Ao4DPhERD2bmla1WJkmSGjEoIeUS4C8z85/q5z+MiCOAC4Ar\ngQ1AAAvYfTZlAbB64lUvA+Z3tQ3XD0mS9m0jIyOMjIzs1rZ58+a+bHtQQsrBwFNdbTupz6nJzLUR\nsQFYCtwFEBHzgJOAyyde9Urg+N5WK0nSLDE8PMzw8O4f3EdHRxkaGmp824MSUr4EXBgR64EfUqWK\nZcDfd/S5tO5zL3A/sAJYD1zb31IlSVIvDEpIOYcqdFwOPBt4EPibug2AzLwkIg4GrgAOBW4BTsnM\nHf0vV5IkzdRAhJTM3AJ8sH5M1G85sLwPJUmSpIYNyn1SJEnSPsaQIkmSimRIkSRJRTKkSJKkIhlS\nJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlI\nhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJ\nKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAi\nSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSrS3Om+ICLeONW+mXnddNcvSZIE\nexFSgH8BEoiu9u62BPbby7qeJiKeC1wMnAIcDNwDnJGZox19LgLeAxwK3Ab8SWbe26saJElS/+zN\n4Z7XAt+jCguH1o9TgFHg5MycUz96GVDGQsd24GTgGOBPgUc6+pwHnAOcCZwIbAFWRcQBvapDkiT1\nz97MpFwKnJWZt3a0rYqIrcDfUgWIXjsfWJeZ7+lo+39dfc4FVmTmlwEi4nRgI3AqcE0DNUmSpAbt\nzUzKbwCPjtO+GThiRtXs2RuA70bENRGxMSJGI+JXgSUiFgELgZvG2jLzMeB2YElDNUmSpAbtTUj5\nDvDxiFgw1lD//D+AO3pVWJcjgT8B7qY63PQ3wGUR8c56+UKqc2A2dr1uY71MkiQNmL053POHwBeB\ndRHxk7rt16lOZD21V4V1mQPckZkfrZ9/PyJ+CzgLuLKhbUqSpBZNO6Rk5j0R8WLgNcDRdfMa4KuZ\nmb0srsND9TY6rQH+a/3zBqorixaw+2zKAmD1xKteBszvahuuH5Ik7dtGRkYYGRnZrW3z5s192fa0\nQkpE7A/cQHXi7FeArzRS1dPdBizualtMffJsZq6NiA3AUuCuutZ5wEnA5ROveiVwfG+rlSRplhge\nHmZ4ePcP7qOjowwNDTW+7WmFlMx8sp5F6beVwG0RcQHVlTonUd0P5Y86+lwKXBgR9wL3AyuA9cC1\n/S1VkiT1wt6cOHsV1XkpfZOZ3wXeRHUM5gfAR4BzM/NzHX0uAf4auILqqp5nAKdk5o5+1ipJknpj\nb06cnQu8OyJeDdxJddO0X8nMD/aisG6ZeT1w/SR9lgPLm9i+JEnqrymFlPoQz79l5k7gt6juLgvw\ngq6uTZ04K0mS9jFTnUlZDTwH+CnwfOClmfnzxqqSJEn7vKmek/IosKj++YhpvE6SJGmvTHUm5QvA\n1yPiIapDOt+NiKfG65iZR/aqOEmStO+aUkjJzDMj4ovAUcBlwN8BjzdZmCRJ2rdN+eqezLwBICKG\ngE9kpiFFkiQ1Zm9ui39GE4VIkiR18gRYSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQi\nGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIk\nqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOK\nJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSrSQIaUiDg/\nInZGxMe72i+KiAcjYmtE3BgRR7VVoyRJmpmBCykR8VLgTOD7Xe3nAefUy04EtgCrIuKAvhcpSZJm\nbKBCSkQ8E7gKeA/waNfic4EVmfnlzPw34HTgucCp/a1SkiT1wkCFFOBy4EuZeXNnY0QsAhYCN421\nZeZjwO3Akr5WKEmSemJu2wVMVUS8DTgOOGGcxQuBBDZ2tW+sl0mSpAEzECElIp4HXAq8OjOf7O3a\nlwHzu9qG64ckSfu2kZERRkZGdmvbvHlzX7Y9ECEFGAKeBYxGRNRt+wGvjIhzgKOBABaw+2zKAmD1\nxKteCRzf43IlSZodhoeHGR7e/YP76OgoQ0NDjW97UM5J+SrwIqrDPcfWj+9SnUR7bGbeB2wAlo69\nICLmAScB3+x7tZIkacYGYiYlM7cAP+psi4gtwM8zc03ddClwYUTcC9wPrADWA9f2sVRJktQjAxFS\n9iB3e5J5SUQcDFwBHArcApySmTvaKE6SJM3MwIaUzHzVOG3LgeV9L0aSJPXcoJyTIkmS9jGGFEmS\nVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFF\nkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopk\nSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKk\nIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRBiKk\nRMQFEXFHRDwWERsj4p8j4gXj9LsoIh6MiK0RcWNEHNVGvZIkaeYGIqQArwD+GjgJeDWwP/CViHjG\nWIeIOA84BzgTOBHYAqyKiAP6X64kSZqpuW0XMBWZ+brO5xHxB8BPgSHg1rr5XGBFZn657nM6sBE4\nFbimb8VKkqSeGJSZlG6HAgk8DBARi4CFwE1jHTLzMeB2YEkbBUqSpJkZuJASEQFcCtyamT+qmxdS\nhZaNXd031sskSdKAGYjDPV0+CbwQeHnbhUiSpOYMVEiJiP8FvA54RWY+1LFoAxDAAnafTVkArJ54\nrcuA+V1tw/VDkqR928jICCMjI7u1bd68uS/bHpiQUgeU3wV+OzPXdS7LzLURsQFYCtxV959HdTXQ\n5ROveSVwfAMVS5I0+IaHhxke3v2D++joKENDQ41veyBCSkR8kmpq443AlohYUC/anJnb6p8vBS6M\niHuB+4EVwHrg2j6XK0mSemAgQgpwFtWJsf/a1X4G8BmAzLwkIg4GrqC6+ucW4JTM3NHHOiVJUo8M\nREjJzCldhZSZy4HljRYjSZL6YuAuQZYkSfsGQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZ\nUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSp\nSIYUSZJUpLltFyBJ0iBYt24dmzZtmlLfww47jMMPP7zhimY/Q4okSZNYt24dixcfw7ZtW6fU/6CD\nDubuu9cYVGbIkCJJ0iQ2bdpUB5SrgGMm6b2GbdtOY9OmTYaUGTKkSJI0ZccAx7ddxD7DE2clSVKR\nDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkorkJciSJDVgzZo1k/bxzrQTM6RIktRTDwFzOO20\n0ybt6Z1pJ2ZIkSSppx4FdjL53Wm9M+1kDCmSNGD8orvJlTFG3p12pgwpkjRA/KK7yTlGs4chRZIG\niF90NznHaPYwpEjSQNo3DyVM5TDOrqtq9s0xmk0MKZKkgTDdwzgafIYUSdJAmPphnOuBj05r3ZPd\n02Qq9zxR7xlSJEkDZrLDONMJFFO/p4n6z5AiSdqHTfWeJtOfndHMGVIkSdO6r8j27ds58MADe9YP\nSrifSy9nZ9QrhhRJ2sdN/4TU/YCnetjPe5VofIYUSdoLU515aH+GYHLTu6/I2GGPqR4e8V4l2nuz\nLqRExHuBDwELge8D78vM77RbVflGRkYYHh5uu4zWOQ4Vx2GX8cZiOjMPgzVDMNEhjxFgmF2HPaZ6\neGQ23qtkbCzUtDltF9BLEfFW4GPAnwEvoQopqyLisFYLGwAjIyNtl1AEx6HiOOwy3ljsPvNw5wSP\nq9i2beuUz/Uom++JXRyLfpltMynLgCsy8zMAEXEW8Hrg3cAlbRbWD2V8oZY0vjYPjzS37d7OEkzv\nbqrS7DdrQkpE7A8MAX8x1paZGRFfBZa0Vlif+IVaKlmbh0cG5dCMd1OVnm7WhBTgMKpTyTd2tW8E\nFu/5ZZN9Ktkwo6L6xS/UUsmm/v7s/XuzzW1PR5N3U5UG1WwKKdN1UPXP5HcZ3G+/udx3331cffXV\nk/adM2cOO3fu7Fm/qfZdu3bt2E9TWGPV5/rrr//V1PH69evH3b9e11n6OjvHYTbsz96u84EHHujp\n+33q78+nvzdnuv2Zbnu8/xu71nk9E3/Qmfr+TL3OB6e47alvf2r7sx64Grhtitufar9e1zndbe/N\n/oyNxUzXWe3PIB7C66j5oCa3E5nZ5Pr7pj7csxV4c2Ze19H+j8D8zHxTV/+3M/G7TJIkTewdmfnZ\nplY+a2ZSMvPJiLgTWApcBxARUT+/bJyXrALeAdwPbOtTmZIkzQYHAUdQ/S1tzKyZSQGIiLcA/wic\nBdxBdbXP7wFHZ+bPWixNkiRN06yZSQHIzGvqe6JcBCwAvgecbECRJGnwzKqZFEmSNHvMqjvOSpKk\n2cOQIkmSijRrQkpEvDci1kbEExHx7Yh46ST9/1NE3BkR2yLi/0bEu8bp8/sRsaZe5/cj4pTm9qB3\nej0WEfHCiPh8vc6dEfH+ZvegNxoYh/dExDci4uH6ceNk6yxFA2Pxpoj4TkQ8EhG/iIjVETH5TYda\n1sTviY6+b6v/f3yx95X3XgPviXfV+/9U/e/OiCj+9rkN/e2YHxGXR8SDdb8fR8R/bm4veqOB98TX\nOt4LnY8vTbmozBz4B/BWqsuITweOBq4AHgYO20P/I4BfUH2fz2LgvcCTwGs6+vyHuu2DdZ+LgO3A\nC9ve3xbG4gTgYuAtwAPA+9vez5bG4UqqK8deDLwA+N/AI8Bz2t7fFsbilcDv1ssXAe/v7lPao4lx\n6Or7E+BfgS+2va8tvSfeVf9/eBbw7PrxrLb3tYVx2B/4DvAl4GXA4cArgBe1vb8tjMWhHe+FZwMv\nrPu8c8p1tT0wPRrcbwOf6HgeVLcE/PAe+l8M3NXVNgJc3/H8c8B1XX2+BXyy7f3t91h0LVvLYISU\nRsehXj4H2Ayc1vb+tj0WdZ87gT9ve3/7PQ71++BW4AzgUwxGSGnid+a7gIfb3rcCxuEs4B5gv7b3\nr+2xGOc1HwAeBZ4x1boG/nBP7PpiwZvG2rIajYm+WPBl9fJOq7r6L5lCn6I0OBYDpY/jcAjVp6aH\n97rYhvVrLCJiKdXs0tdnUm9TGh6HPwM2ZuanelNtsxoei2dGxP0RsS4i/iUiXtijsnuuwXF4A/UH\n2ojYEBE/iIgLIqLYv7d9/J35bmAkM5+Yam3FDto0TPTFggv38JqFe+g/LyIOnKTPntZZgqbGYtD0\naxwupjr81f0ftSSNjUVEzIuIxyNiB9XU9vsy8+belN1zjYxDRPxHqhmU9/Su1MY19Z64m+qP0Bup\n7uY9B/hmRDy3F0U3oKlxOBL4far9P4XqVIE/BT7Sg5qb0vjvzIg4Efj3wN9Pp7BZdTM3qV8i4nyq\nc3R+OzN3tF1PSx4HjgWeSfX1Eysj4r7M/Ea7ZfVHRDwT+AzwR5n5SNv1tC0zv011yACAiPgW1bfr\n/THVbNO+Yg7VH+sz69mI1RHxPOBDwIpWK2vXHwI/yMw7p/Oi2RBSNgFPUd1httMCYMMeXrNhD/0f\ny8ztk/TZ0zpL0NRYDJpGxyEiPgR8GFiamT+cebmNamws6l/A99VP76qn9i8ASgwpPR+HiDgaeD7w\npYiIevkcgHp2aXFmTuVryfutL78nMvOXEbEaOGoGtTapqXF4CNhR//8YswZYGBFzM/OXMyu7EU3/\nzjyY6sTcC6db2MAf7snMJ6lO2Fs61lb/wlgKfHMPL/tWZ//aa+v2ifq8pqtPURoci4HS5DhExIep\npm1PzszVvaq5KX1+T8wBijxE2NA4/Bh4EXAc1YzSsVRfbnpz/fNPelR+T/XrPVGfg/Eiqj/axWlw\nHG7j6cFsMfBQoQGlH++JtwAHAFfvTXED/6gHYCu7Xzr1c+rL34C/BD7d0f8Iqqnqi6nePGcDO4BX\nd/RZQnXJ8dglyMupLs8q/RLkJsZif6pfusdRnYNxcf38N9re3z6Pw3n1e+BNVJ8Yxh6HtL2/LYzF\n+cCrqS4/PprqmPt24Iy297ef4zDONgbl6p4m3hMfpfogtwh4CdWVHluovuC19X3u4zg8j+oKlsuA\n3wReTzXrcH7b+9vvsejoewvw2b2qq+2B6eEAnw3cDzxBleRO6Fj2KeDmrv6vpEqOT1BdLva067aB\nN1N9WnoCuIvq03Pr+9rvsaCa0t5JNR3Y+bi56X0pbBzWjjMGTwH/ve19bWEsVlCdKLmFaqr4VuD3\n2t7Pfo/DOOsfiJDS0Hvi4/X/kSeAB6lOpn5x2/vZxnsCOIlqBmJr3ec86u/KK/nR0Fi8oP49+aq9\nqckvGJQkSUUa+HNSJEnS7GRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQV\nyZAiSZKKZEiR1KqI+FRE7IyIp+p/x34+su3aJLVrbtsFSBLwf4A/AKKj7WftlCKpFM6kSCrB9sz8\nWWb+tOORUbkgIu6LiK0RsToi3tx2sZL6w5kUSSX7b8DbgTOBe6m+dfXKiPhpZt7SamWSGue3IEtq\nVUR8CjgN2NbRfD3wTuBhYGlm3t7R/++AZ2TmaX0tVFLfOZMiqQQ3A2ex65yULcBRwMHAjRHRea7K\n/sDq/pYnqQ2GFEkl2JKZazsbIuL59Y+vAx7s6r+9L1VJapUhRVKpfkQVRp6fmbe2XYyk/jOkSCpS\nZv4iIv4nsDIi9gNuBeYDLwc2Z+aVrRYoqXGGFEnFysyPRsRPgfOBI4FHgVHgL1otTFJfeHWPJEkq\nkjdzkyRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRI\nkqQiGVIkSVKRDCmSJKlI/x8tJD0sUnAs6wAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "SVC(C=1, cache_size=200, class_weight=None, coef0=0.0,\n",
+       "  decision_function_shape=None, degree=3, gamma=1, kernel='rbf',\n",
+       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
+       "  tol=0.001, verbose=False)"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['Fe'],bins=40)\n",
-    "plt.xlabel('Fe')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "model=svm.SVC(kernel='rbf',C=1,gamma=1)\n",
+    "model.fit(train[feat],train['Type'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "pred=model.predict(test[feat])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 79,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAF5CAYAAADUL/MIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "             precision    recall  f1-score   support\n",
+      "\n",
+      "          1       0.78      0.90      0.84        20\n",
+      "          2       0.58      0.85      0.69        13\n",
+      "          3       0.00      0.00      0.00         3\n",
+      "          5       1.00      0.25      0.40         4\n",
+      "          6       1.00      0.50      0.67         2\n",
+      "          7       1.00      0.78      0.88         9\n",
+      "\n",
+      "avg / total       0.75      0.75      0.72        51\n",
+      "\n"
+     ]
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['Al'],bins=40)\n",
-    "plt.xlabel('Al')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
+    "from sklearn.metrics import classification_report\n",
+    "print(classification_report(test['Type'],pred))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 80,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAF5CAYAAADUL/MIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzt3X+cpXVd9/HXZ0F2W8zh7h4FTCcCZB3TG50hjQwoFVEr\n/FEao9OtEhmR6b1WqCF3lpWGwYoJ5W0l4MJwa6lgbQupQIoawQjc6WG1hA4/ltUjsgrbrMB87z+u\na+PsMD+uM5zvnHOdeT0fj/PYne/5Xtf5nO9855z3uX6cK1JKSJIk5bSm1wVIkqTBZ+CQJEnZGTgk\nSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2fVF4IiIYyLi8oi4MyJm\nI+LEefqMRsRlEXFvRNwXEf8cEU/qRb2SJKkzfRE4gP2BG4HTgEdc3CUiDgM+B3wVOBZ4BvAuYGYF\na5QkScsU/XbxtoiYBV6WUrq8rW0K+H5K6bW9q0ySJC1Xv2zhWFBEBPCzwNcjYmtE7IiIL0XES3td\nmyRJqqbvAwfwBOCxwFuBLcDxwCeAj0fEMb0sTJIkVbNvrwuoYE8o+mRK6f3l/2+OiJ8ETqU4tmMv\nEfHfgROA2/A4D0mSOrEOOAS4IqX07W6ttA6BowU8CDTmtDeA5y6wzAnAxTmLkiRpwL0GuKRbK+v7\nwJFSeiAi/gXYMOeuI4D/WGCx2wA2b97M6OhoxurqYePGjWzatKnXZfSc4/Awx6LgOBQch4c5FtBo\nNJicnITyvbRb+iJwRMT+wOFAlE2HRsSRwD0ppduB9wKXRsTngKuAFwM/Bxy3wCpnAEZHRxkbG8ta\nex0MDQ05DjgO7RyLguNQcBwe5ljspauHJPRF4ACOoggSqbydXbZfCJycUvpkRJwK/C5wLrANeEVK\n6Yu9KFaSJHWmLwJHSukaljhjJqV0AXDBStQjSZK6qw6nxUqSpJozcKwCExMTvS6hLzgOD3MsCo5D\nwXF4mGORT999tXk3RMQYcMMNN9zgwT+SJHVgenqa8fFxgPGU0nS31usWDkmSlJ2BQ5IkZWfgkCRJ\n2Rk4JElSdgYOSZKUnYFDkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGXXF1eLlaR+0Gw2abValfoO\nDw8zMjKSuSJpcBg4JIkibGzYMMrMzK5K/detW8+2bQ1Dh1SRgUOSgFarVYaNzcDoEr0bzMxM0mq1\nDBxSRQYOSdrLKOBVpqVu86BRSZKUnYFDkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZ\nOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2fVF4IiIYyLi8oi4MyJmI+LERfr+RdnnTStZoyRJWr6+CBzA\n/sCNwGlAWqhTRLwceA5w5wrVJUmSuqAvrhabUtoKbAWIiJivT0T8MHAucAKwZeWqkyRJj1a/bOFY\nVBlCLgLOSik1el2PJEnqTC0CB/A24PsppQ/0uhBJktS5vtilspiIGAfeBDyr02U3btzI0NDQXm0T\nExNMTEx0qTpJkupramqKqampvdp27tyZ5bH6PnAAPwU8Hri97fCOfYBzIuJ/pZQOXWjBTZs2MTY2\ntgIlSpJUP/N9CJ+enmZ8fLzrj1WHwHER8I9z2q4s2z+88uVIkqRO9UXgiIj9gcOBPZswDo2II4F7\nUkq3A9+Z0/8B4O6U0tdXtlJJkrQcfRE4gKOAqyi+gyMBZ5ftFwInz9N/we/qkCRJ/acvAkdK6Ro6\nOGNmseM2JElS/6nLabGSJKnGDBySJCk7A4ckScrOwCFJkrIzcEiSpOwMHJIkKTsDhyRJys7AIUmS\nsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTs+uJqsZJWXrPZpNVqVeo7PDzMyMhI5ookDTID\nh7QKNZtNNmwYZWZmV6X+69atZ9u2hqFD0rIZOKRVqNVqlWFjMzC6RO8GMzOTtFotA4ekZTNwSKva\nKDDW6yIkrQIeNCpJkrIzcEiSpOwMHJIkKTsDhyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAh\nSZKyM3BIkqTs+iJwRMQxEXF5RNwZEbMRcWLbfftGxJ9ExM0RcV/Z58KIOLiXNUuSpOr6InAA+wM3\nAqcBac5964FnAr8PPAt4ObABuGwlC5QkScvXFxdvSyltBbYCRETMue+7wAntbRHxRuCfI+JJKaU7\nVqxQSZK0LP2yhaNTB1BsCbm314VIkqSl1S5wRMRa4D3AJSml+3pdjyRJWlpf7FKpKiL2BT5GsXXj\ntB6XI0mVNZtNWq1Wpb7Dw8OMjIxkrkhaWbUJHG1h48nA86ps3di4cSNDQ0N7tU1MTDAxMZGnSEma\nR7PZZMOGUWZmdlXqv27derZtaxg6lN3U1BRTU1N7te3cuTPLY9UicLSFjUOBn0kpfafKcps2bWJs\nbCxrbZK0lFarVYaNzcDoEr0bzMxM0mq1DBzKbr4P4dPT04yPj3f9sfoicETE/sDhwJ4zVA6NiCOB\ne4DtwN9SnBr7c8BjIuLAst89KaUHVrpeSVqeUcAPQVqd+iJwAEcBV1Ecm5GAs8v2Cym+f+Pny/Yb\ny/Yof/4Z4J9WtFJJktSxvggcKaVrWPyMmdqdTSNJkh7mG7kkScrOwCFJkrIzcEiSpOwMHJIkKTsD\nhyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScquL64WK2n1\najabtFqtyv2Hh4cZGRnJWJGkHAwcknqm2WyyYcMoMzO7Ki+zbt16tm1rGDqkmjFwSOqZVqtVho3N\nwGiFJRrMzEzSarUMHFLNGDgk9YFRYKzXRUjKyINGJUlSdgYOSZKUnYFDkiRlZ+CQJEnZGTgkSVJ2\nBg5JkpSdgUOSJGVn4JAkSdkZOCRJUnYGDkmSlJ2BQ5IkZdcXgSMijomIyyPizoiYjYgT5+nzBxFx\nV0Tsioh/jIjDe1GrJEnqXF8EDmB/4EbgNCDNvTMi3gq8EXgD8GzgfuCKiNhvJYuUJEnL0xdXi00p\nbQW2AkREzNPlzcC7Ukp/V/b5n8AO4GXAR1eqTkmStDz9soVjQRHxo8BBwGf2tKWUvgv8M3B0r+qS\nJEnV9X3goAgbiWKLRrsd5X2SJKnP9cUuFUn9r9FoVO47PDzMyMhIxmok1U0dAsfdQAAHsvdWjgOB\nLy+24MaNGxkaGtqrbWJigomJiW7XKA2w7cAaJicnKy+xbt16tm1rGDqkPjc1NcXU1NRebTt37szy\nWH0fOFJKt0bE3cDzgZsBIuJxwHOA8xZbdtOmTYyNjeUvUhpo9wKzwGZgtEL/BjMzk7RaLQOH1Ofm\n+xA+PT3N+Ph41x+rLwJHROwPHE6xJQPg0Ig4ErgnpXQ78D7gHRHxb8BtwLuAO4DLelCutEqNAgZ4\nScvTF4EDOAq4iuLg0AScXbZfCJycUjorItYDHwQOAD4HvDil9P1eFCtJkjrTF4EjpXQNS5wxk1J6\nJ/DOlahHkiR1Vx1Oi5UkSTVn4JAkSdkZOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2Rk4JElSdgYOSZKU\nnYFDkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ\n2Rk4JElSdgYOSZKUnYFDkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZOCRJUnb7drpA\nRJxYtW9K6fJO1y9JkgZPx4ED+CSQgJjTPrctAfsss669RMQa4PeB1wAHAXcBF6SU/rAb65ckSXkt\nZ5fKC4EbgRcDB5S3FwPTwAkppTXlrStho/Q24NeA04CnAqcDp0fEG7v4GJIkKZPlbOF4H3BqSunz\nbW1XRMQu4P8Ao12pbG9HA5ellLaWPzcj4tXAszM8liRJ6rLlbOE4DLh3nvadwCGPqpqFfQF4fkQ8\nBSAijgSeC2zJ9HiSJKmLlrOF41+AcyLil1NKOwAi4kDgvcB13SyuzXuAxwG3RMRDFEHpjJTSpZke\nT5IkddFyAsevAB+n2K1xe9n2ZODrwMu6VdgcvwS8GjgJ+CrwTODciLgrpfSRTI8pSYtqNBpd7ScN\nso4DR0rp6xHxP4DjKQ7gBGgAn04ppW4W1+Ys4N0ppY+VP38lIg4B3g4sGDg2btzI0NDQXm0TExNM\nTExkKlPS6rAdWMPk5GSvC5EelampKaampvZq27lzZ5bH6ihwRMRjgK0UB41eCVyZpapHWg88NKdt\nliWOQdm0aRNjY2PZipK0Wt1L8RK0mWrHyW8BzsxakbQc830In56eZnx8vOuP1VHgSCk9UG7dWGmf\nAt4REXcAXwHGgI3AX/agFkkqjVK8HC3FXSrScs5S2UxxHMdKeiPwN8B5FMdwnAX8OfC/V7gOSZK0\nDMs5aHRf4OSIeAFwA3B/+50ppbd0o7A567wfeEt5kyRJNVMpcJS7Uf41pTQLPJ3iW0UBjpjTNddB\no5IkqcaqbuH4MnAw8E3gR4AfTyl9O1tVkiRpoFQ9huNe4EfL/x/SwXKSJEmVt3D8LXBNRGyn2G1y\nffmNn4+QUjq0W8VJkqTBUClwpJTeEBEfBw4H3g98CPhezsIkSdLgqHyWyp4rtUbEOHBuSsnAIUmS\nKlnOV5u/PkchkiRpcHnwpyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyW87VYiVJUo81\nm01arValvsPDw4yMjGSuaHEGDkmSaqbZbLJhwygzM7sq9V+3bj3btjV6GjoMHJIk1Uyr1SrDxmZg\ndIneDWZmJmm1WgYOSZK0HKPAWK+LqMSDRiVJUnYGDkmSlJ2BQ5IkZWfgkCRJ2Rk4JElSdgYOSZKU\nnYFDkiRlZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGVXm8AREU+MiI9ERCsidkXETRFRjy+QlyRplavF\nxdsi4gDgWuAzwAlAC3gK8J1e1iVJkqqpReAA3gY0U0qntLX9R6+KkSRJnanLLpWfB66PiI9GxI6I\nmI6IU5ZcSpIk9YW6bOE4FPh14Gzgj4BnA++PiN0ppY/0tDIpo2azSavVqtR3eHiYkZGRzBVV12g0\nutJntepkbHbv3s3atWu73rfTOdUv87WTOnLXoofVJXCsAa5LKZ1Z/nxTRDwdOBVYMHBs3LiRoaGh\nvdomJiaYmJjIVqjULc1mkw0bRpmZ2VWp/7p169m2rdEHL5zbgTVMTk72uI66Ws747QM81PW+ncyp\nfpmvndaRs5Y6mJqaYmpqaq+2nTt3ZnmsugSO7cDcuN8AXrHYQps2bWJszBNZVE+tVqt80dwMjC7R\nu8HMzCStVqsPXjTvBWapVvcW4Mwl+qw2nYwfPDyGnYx39+dUv8zXzurIW0sdzPchfHp6mvHx8a4/\nVl0Cx7XAhjltG/DAUa0Ko0Adg3OVut2lsrCqv/c9Y9jJeOecU/0yX/ulDu1Rl4NGNwE/ERFvj4jD\nIuLVwCnAB3pclyRJqqAWgSOldD3wcmAC+H/AGcCbU0qX9rQwSZJUSV12qZBS2kKxA1KSJNVMLbZw\nSJKkejNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScrOwCFJkrIzcEiSpOwM\nHJIkKTsDhyRJys7AIUmSsqvN1WIlLa3RaHS1X7+qWv/u3btZu3ZtV9e52qyWOaX8DBzSQNgOrGFy\ncrLXhWTW6fPcB3goYz2DbLXMKa0UA4c0EO4FZoHNwGiF/luAM7NWlEcnz3PPcxz0MclltcwprRQD\nhzRQRoGxCv3qvvm7yvPc8xxXy5jk4vipOzxoVJIkZWfgkCRJ2Rk4JElSdgYOSZKUnYFDkiRlZ+CQ\nJEnZGTgkSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZOCRJUna1DBwR8baImI2Ic3pdiyRJWlrtAkdE/Djw\nBuCmXtciSZKqqVXgiIjHUlwr+RSKaydLkqQaqFXgAM4DPpVS+myvC5EkSdXt2+sCqoqIk4BnAkf1\nuhZJ0qPXaDQq9x0eHmZkZCRjNdU0m01arVbl/p3U3cm6Oxm7flGLwBERTwLeB7wgpfRA1eU2btzI\n0NDQXm0TExNMTEx0uUJJUnXbgTVMTk5WXmLduvVs29boaehoNpts2DDKzMyuystUrXs56+6Gqakp\npqam9mrbuXNnlseqReAAxoHHA9MREWXbPsCxEfFGYG1KKc1daNOmTYyNja1gmZKkpd0LzFIckjda\noX+DmZlJWq1WTwNHq9UqA0H36+583VuAMyv0W9x8H8Knp6cZHx9/1Oueqy6B49PAM+a0XQA0gPfM\nFzYkSf1uFKjjh8KcdVddt7tUskgp3Q98tb0tIu4Hvp1Sqt+oS5K0ytTtLJV2btWQJKkmarGFYz4p\npef1ugZJklRNnbdwSJKkmjBwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScrO\nwCFJkrIzcEiSpOwMHJIkKTsDhyRJyq62F2+T+kWz2aTValXuv3v3btauXbtkv0aj8WjKktSBKn9v\ndf+brFp/rudp4JAehWazyYYNo8zM7OpgqX2Ah3KVJKkj24E1TE5O9rqQjPrjORo4pEeh1WqVYWMz\nMFphiS3AmRX77+krKZ97gVkG+2+yk+cIuZ6ngUPqilFgrEK/PZsqq/Sv9+ZbqV5Ww99kp69T3eVB\no5IkKTsDhyRJys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScrO\nwCFJkrKrReCIiLdHxHUR8d2I2BERn4iII3pdlyRJqqYWgQM4Bvgz4DnAC4DHAFdGxA/0tCpJklRJ\nLa4Wm1J6SfvPEfE64JvAOPD5XtQkSZKqq8sWjrkOABJwT68LkSRJS6td4IiIAN4HfD6l9NVe1yNJ\nkpZWi10qc5wPPA14bq8LkSStnEaj0ZU+K62udXdbrQJHRHwAeAlwTEpp+1L9N27cyNDQ0F5tExMT\nTExMZKpQktR924E1TE5O9rqQDtWh7qny1u6OLI9Um8BRho2XAsellJpVltm0aRNjY2N5C5MkZXYv\nMAtsBkaX6LsFODN7RdXUoe6J8tbuYqD7IakWgSMizqcYkROB+yPiwPKunSmlmd5VJklaOaPAUh8i\n+3HXRF3r7q66HDR6KvA44Grgrrbbq3pYkyRJqqgWWzhSSnUJRpIkaR6+kUuSpOwMHJIkKTsDhyRJ\nys7AIUmSsjNwSJKk7AwckiQpOwOHJEnKzsAhSZKyM3BIkqTsDBySJCk7A4ckScrOwCFJkrIzcEiS\npOxqcbXYbrnllls4//zzK/c/7LDDeNOb3kREZKyqmmazSavVqtR39+7drF27tvK6h4eHGRkZWW5p\nXdPJc4TOnmenz7FqLY1Go/I6JWk1W1WB44wzzuATn7iSfff90SX7pnQ/Dz74DY4//nie9rSnrUB1\nC2s2m2zYMMrMzK6KS+wDPFR5/evWrWfbtkZPQ0fnzxE6eZ6dPMfl1SJJWsyqChyzs7OkdCwPPPD3\nFXp/CTia2dnZ3GUtqdVqlW9+m4HRJXpvAc6s2BegwczMJK1Wq6eBo7PnCJ09z86e4/LGW5K0mFUV\nOOpvFBhbos+eTfxV+vajqnWvxPPsZLwlSYvxoFFJkpSdgUOSJGVn4JAkSdkZOCRJUnYGDkmSlJ2B\nQ5IkZWfgkCRJ2Rk4JElSdgYOSZKUnYFDkiRlZ+CQJEnZ1SpwRMRvRMStEfGfEfGliPjxXtdUD1O9\nLqAvbN26tdcl9JEv9LqAPuHfRsFxeJhjkUttAkdE/BJwNvB7wLOAm4ArImK4p4XVgn9AAFdccUWv\nS+gjX+x1AX3Cv42C4/AwxyKX2gQOYCPwwZTSRSmlW4BTgV3Ayb0tS5IkLaUWgSMiHgOMA5/Z05ZS\nSsCngaN7VZckSapm314XUNEwsA+wY077DmBDZ6vaCUxX6HdLZ6uVJEkLqkvg6NQ6gEajsVfj+vXr\ngWspNpYsbb/91nH11Vdz0003Veq/Zs0aZmdnu9731ltvLf+3BWgs1pXi+c3tewdw8UJrL3pv2fKI\n8ZpPJ3V30r+z5wjzP88F1w7Ajh07uPjihcZhubV0Uken/XP1Bbgn47pz1t3tdbf/bdSp7m6ve77X\niEF7jlX7L/Z62c9151h38V7aLVHsmehv5S6VXcAvpJQub2u/ABhKKb18Tv9Xs/CMkSRJS3tNSumS\nbq2sFls4UkoPRMQNwPOBywEiIsqf3z/PIlcArwFuA2ZWqExJkgbBOuAQivfSrqnFFg6AiHgVcAHF\n2SnXUZy18ovAU1NK3+phaZIkaQm12MIBkFL6aPmdG38AHAjcCJxg2JAkqf/VZguHJEmqr1p8D4ck\nSao3A4ckScquloEjIo6JiMsj4s6ImI2IEyss89MRcUNEzETE1yLitStRa06djkNEHFf2a789FBFP\nWKmac4iIt0fEdRHx3YjYERGfiIgjKiw3UHNiOeMwwHPi1Ii4KSJ2lrcvRMSLllhmoOYDdD4Ogzof\n5oqIt5XP7Zwl+g3cnJirylh0a17UMnAA+1McNHoasORBKBFxCPB3FF+NfiRwLvCXEXF8vhJXREfj\nUErAU4CDytvBKaVv5ilvxRwD/BnwHOAFwGOAKyPiBxZaYEDnRMfjUBrEOXE78FZgjOKb/j4LXBYR\no/N1HtD5AB2OQ2kQ58N/Ka8y/gaKC4Au1u8QBnNO/JeqY1F69PMipVTrGzALnLhEnz8Bbp7TNgVs\n6XX9KzwOxwEPAY/rdb2Zx2K4HI+fWuVzoso4rIo5UT7XbwOvX63zoeI4DPR8AB4LbAOeB1wFnLNI\n34GeEx2ORVfmRV23cHTqJygu9NbuClbnhd8CuDEi7oqIKyPiJ3tdUAYHUKTxexbpsxrmRJVxgAGf\nExGxJiJOAtYDX1yg28DPh4rjAIM9H84DPpVS+myFvoM+JzoZC+jCvKjN93A8Sgcx/4XfHhcRa1NK\nu3tQUy9sB34NuB5YC/wqcHVEPDuldGNPK+uS8hto3wd8PqX01UW6DvSc6GAcBnZORMTTKd5Y1wHf\nA16eUlroqowDOx86HIdBng8nAc8Ejqq4yCDPiU7HoivzYrUEDgEppa8BX2tr+lJEHEbxra2DcjDU\n+cDTgOf2upAeqzQOAz4nbqHY9z5E8a3EF0XEsYu82Q6qyuMwqPMhIp5EEcBfkFJ6oNf19NJyxqJb\n82K17FK5m+LbSdsdCHy3zim1S64DDu91Ed0QER8AXgL8dEpp+xLdB3ZOdDgO8xmIOZFSejCl9I2U\n0pdTSmdQHBj35gW6D+x86HAc5jMI82EceDwwHREPRMQDFMclvDkivl9uEZxrUOfEcsZiPh3Pi9Wy\nheOLwIvntL2QxfdjrhbPpNhcVmvlm+xLgeNSSs0KiwzknFjGOMxnIObEPNZQbA6ez0DOhwUsNg7z\nGYT58GngGXPaLqC4Vvt7Unlk5ByDOieWMxbz6Xhe1DJwRMT+FMlqTxI7NCKOBO5JKd0eEe8GnphS\n2rOp5y+A34iIPwH+muIqs79I8Smwtjodh4h4M3Ar8BWK/bm/CvwMUOvTvCLifGACOBG4PyL2fCrZ\nmVKaKfv8MfDDgzwnljMOAzwn/hj4B6AJ/CDF1aOPo3jDYBW9RnQ0DoM6H1JK9wN7HcsUEfcD304p\nNcqfB/41ApY3Ft2aF7UMHBQHulxFcQR+As4u2y8ETqY42OfJezqnlG6LiJ8FNgFvAu4AfiWlNPcI\n5LrpaByA/co+TwR2ATcDz08p/dNKFZzJqRTP/+o57a8HLir/fzCDPyc6HgcGd048geLv4GBgJ8Xz\nemHbEfmr5TWio3FgcOfDfOZ+kl8NrxELWXQs6NK88OJtkiQpu9Vy0KgkSeohA4ckScrOwCFJkrIz\ncEiSpOwMHJIkKTsDhyRJys7AIUmSsjNwSFINRcQxEXF5RNwZEbMRcWLmx1sTEe+KiG9ExK6I+LeI\neMejXOe5EXF9RMxExHQHyx0dEZ+JiPsiYmdEXB0Ra9vuHysvof6diPhWRHyw/GbmPfe/thyzh8p/\nZ9t+Hi77rI2ID0fEzeU1Rz6+QC37RcQfRcRt5fP4RkS8bk6fV0ZEIyL+MyJuioi5X5lORDwxIj4S\nEa1yfG+KiLGqY9KplZ4/YOCQpLraH7gROI1HflNkDm+juET5acBTgdOB0yPijQstEBG3RsSxi6wz\nAX8FXFq1iIg4muLr2rdSfNvyUcAHgNny/oOBf6S4uumzgRcBP0ZxvZA9LqX4ltWDy38PAq4Ark4p\ntco++1B8q+a55foW8jGKr/l+PXAExeUFtrXV+5PAJcCHKK4/chnwyYh4WlufA4Brgd3ACcAo8FvA\ndyoOy3Ks9PyBlJI3b968df1G8QI/C5w+p/2lwGyv6xukWznOJ85p2w/4U4qv5L6P4qJjxz2Kx/gU\n8KE5bX8DXLTIMrcCx1ZY9+8B0xXr+CLwzkXu/1Vg+5y2p5djdOgCywxTvNm/eoH7Pwx8fJ72FwH3\nAAcsUs+lwOXzPIfz235+D3DNEs+7q7/PpeZPjptbOCTlkoD/BN4aEUPz3Ke8zgOeA7yK4uqgHwP+\nISIOW+b6vgA8PyKeAlBeKPK5wJYu1FpJRDye4jm1IuLaiLi73J3y3LZua4Hvz1l0pvz3pxZY9WuB\n+4G/7bCknweup5jjd0TEtoh4b0Ssa+tzNMUVWttdUbbvtZ6I+GhE7IiI6Yg4Zc4y3f59rjgDh6Sc\nPg3cDfzufHdGxA9FxCXli/X95f7yk1a2xMETEU8GXge8MqX0hZTSrSmlcyg2279+mat9D/B/gVsi\n4vvADcD7UkqVd4d0waHlv78HfJBi98M08Jm2N97PAgdFxG9HxGMi4r8B76YIuQcvsN6TgYtTSruX\nUc8xFLtsXga8meKKsue19TkI2DFnuR1le/t6fp1iV8wLgT8H3h8RvwzZfp8rzsAhKaeHKMLGb0bE\nE+e5fx3FJ8QXU7xofxC4KCKOWrkSB9IzKI5B+FpEfG/PDTgWOAwgIjYscOBk+wGUf9y2zl8CXg2c\nBDyLYqszMz2yAAAD8klEQVTA7+x5UyzX+edzHm8E2NrW9t1H+bz2vGf9RUrpopTSTSmlt1C8UZ8M\nkFL6alnbWyiOwbgL+AbwTcrjPNqVx4Q8leJYkuXUM0uxK+b6lNLW8nFf234Qa8X13JBSOrN8Th+i\nOObj1PL+HL/PFVfXy9NLqomU0mURcSPw+xT719vvuws4p63pvIh4EcVm4+tXrsqB81jgQWCMR77J\n3lf+++8Ub7SL+Xbb/88C3p1S+lj581ci4hDg7cBHyrYzgfe2LXMN8DvAdR3Uvpjt5b+NOe0NinAD\nQLnV5dJyF8z9ZfNvUQSPuU4Bbkwp3bjMeu5MKd3X1tYAAngSxRjfDRw4Z7kDy/b29cz3nF5R/j/H\n73PFGTgkrYS3Umz2/tP2xohYA5wBvBL4YYoD4/bj4TcJLc+XKT4RH5hSuna+DimlBynO5KhqPcUW\nq3aztG0pT8UZHnvO8iAiHgTuSinN90bfsZTSbRFxF7Bhzl1HMM+xJCmlb5V1nExxPNFeZ5uUp8q+\nkmJ+Lse1wC9GxPqU0q6ybQPFuNxR/vxF4PnA+9uWO75sb1/P3Oe0AfiP8v85fp8rzsAhKbuU0uci\n4gqK4wAuaLvrdOA3KfZ9/ytF0DiXInRoEeWb5eEUn6YBDi0P5LwnpfT1iLiEYvfUb1O8YT0BeB5w\nU0rpH5bxkJ8C3hERdwBfofi0vRH4y0fxHA4DfpDi2IofKOsH+EpK6cFyN9xngF9OKe3Z4vVe4J0R\ncTPFaZ2vo3hz/oW29f4GxUGu91EcE3EWxdlSc3fpnETxRn7xAvWNUhyE+kPAY/fUl1K6qexyCfAO\n4MMR8U7g8eVj/VXb8SDnAldHxFuAv6c4bXacvbf2bQKujYi3Ax+lODj0lD19cvw+l5g/t3e6vkpy\nnwbjzZu31XljzqmEFKcmPkgROh4q2y6n7VTL8sVvG/OcgujtEeN7HMUn6Yfm3P66vH8fioMr/53i\nLI07KE5j/bFlPt7+FLu/bqUIhl+n2E227yLLfINFTosFrpqn/oeAkfL+Hyl/PnbOcqdTfPr/HvB5\n4Og5918IfItiq8aXWfh012tZ+rTe9rpm98zdtj5HUJx1cl9Z01nA2jl9fgG4paznZuCEeR7rJeV9\nuygC3clz7u/273PR+ZPjFuUDS1JXRcSHgaGU0iva2i6k2IS9NqW0T0ScTfFiPAHcS/GJ+VXAZ9uX\nk1R/nqUiaSX9b4rXnT2fdP6Q4rTGrRSnM24HPtGb0iTl5BYOSZKUnVs4JElSdgYOSZKUnYFDkiRl\nZ+CQJEnZGTgkSVJ2Bg5JkpSdgUOSJGVn4JAkSdkZOCRJUnYGDkmSlJ2BQ5IkZWfgkCRJ2f1/i/SH\nqNEJv/gAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcc55d85be0>"
+       "0.74509803921568629"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "plt.clf()\n",
-    "plt.hist(df_bc['Na'],bins=40)\n",
-    "plt.xlabel('Na')\n",
-    "plt.ylabel(\"frq\")\n",
-    "fig1=plt.gcf()\n",
-    "fig1\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "#feature engineering can be done seeing the multivariate plots or get domain knowledge\n",
-    "#to tackle correlation PCA can be used or using feature importance (RFE) select few of them.\n",
-    "#and then SVM can be applied\n"
+    "from sklearn.metrics import accuracy_score\n",
+    "accuracy_score(test['Type'],pred)"
    ]
   },
   {
@@ -1929,21 +2039,21 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python [conda root]",
+   "display_name": "Python [conda env:py27]",
    "language": "python",
-   "name": "conda-root-py"
+   "name": "conda-env-py27-py"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "pygments_lexer": "ipython2",
+   "version": "2.7.13"
   }
  },
  "nbformat": 4,