Heart_Prediction_ABC.ipynb

{
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  {
   "cell_type": "code",
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   "id": "63ec2dcf",
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   "outputs": [
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     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>212</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>168</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>140</td>\n",
       "      <td>203</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>3.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
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       "      <th>2</th>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>148</td>\n",
       "      <td>203</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>161</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>138</td>\n",
       "      <td>294</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   52    1   0       125   212    0        1      168      0      1.0      2   \n",
       "1   53    1   0       140   203    1        0      155      1      3.1      0   \n",
       "2   70    1   0       145   174    0        1      125      1      2.6      0   \n",
       "3   61    1   0       148   203    0        1      161      0      0.0      2   \n",
       "4   62    0   0       138   294    1        1      106      0      1.9      1   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   2     3       0  \n",
       "1   0     3       0  \n",
       "2   0     3       0  \n",
       "3   1     3       0  \n",
       "4   3     2       0  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn import metrics\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
    "from sklearn.metrics import confusion_matrix as cm\n",
    "\n",
    "data = pd.read_csv(\"heart.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb93e004",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1025 entries, 0 to 1024\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       1025 non-null   int64  \n",
      " 1   sex       1025 non-null   int64  \n",
      " 2   cp        1025 non-null   int64  \n",
      " 3   trestbps  1025 non-null   int64  \n",
      " 4   chol      1025 non-null   int64  \n",
      " 5   fbs       1025 non-null   int64  \n",
      " 6   restecg   1025 non-null   int64  \n",
      " 7   thalach   1025 non-null   int64  \n",
      " 8   exang     1025 non-null   int64  \n",
      " 9   oldpeak   1025 non-null   float64\n",
      " 10  slope     1025 non-null   int64  \n",
      " 11  ca        1025 non-null   int64  \n",
      " 12  thal      1025 non-null   int64  \n",
      " 13  target    1025 non-null   int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 112.2 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9bc34458",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.00000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>54.434146</td>\n",
       "      <td>0.695610</td>\n",
       "      <td>0.942439</td>\n",
       "      <td>131.611707</td>\n",
       "      <td>246.00000</td>\n",
       "      <td>0.149268</td>\n",
       "      <td>0.529756</td>\n",
       "      <td>149.114146</td>\n",
       "      <td>0.336585</td>\n",
       "      <td>1.071512</td>\n",
       "      <td>1.385366</td>\n",
       "      <td>0.754146</td>\n",
       "      <td>2.323902</td>\n",
       "      <td>0.513171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.072290</td>\n",
       "      <td>0.460373</td>\n",
       "      <td>1.029641</td>\n",
       "      <td>17.516718</td>\n",
       "      <td>51.59251</td>\n",
       "      <td>0.356527</td>\n",
       "      <td>0.527878</td>\n",
       "      <td>23.005724</td>\n",
       "      <td>0.472772</td>\n",
       "      <td>1.175053</td>\n",
       "      <td>0.617755</td>\n",
       "      <td>1.030798</td>\n",
       "      <td>0.620660</td>\n",
       "      <td>0.500070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>126.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>48.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>211.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>56.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>240.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>152.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>275.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>77.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>564.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               age          sex           cp     trestbps        chol  \\\n",
       "count  1025.000000  1025.000000  1025.000000  1025.000000  1025.00000   \n",
       "mean     54.434146     0.695610     0.942439   131.611707   246.00000   \n",
       "std       9.072290     0.460373     1.029641    17.516718    51.59251   \n",
       "min      29.000000     0.000000     0.000000    94.000000   126.00000   \n",
       "25%      48.000000     0.000000     0.000000   120.000000   211.00000   \n",
       "50%      56.000000     1.000000     1.000000   130.000000   240.00000   \n",
       "75%      61.000000     1.000000     2.000000   140.000000   275.00000   \n",
       "max      77.000000     1.000000     3.000000   200.000000   564.00000   \n",
       "\n",
       "               fbs      restecg      thalach        exang      oldpeak  \\\n",
       "count  1025.000000  1025.000000  1025.000000  1025.000000  1025.000000   \n",
       "mean      0.149268     0.529756   149.114146     0.336585     1.071512   \n",
       "std       0.356527     0.527878    23.005724     0.472772     1.175053   \n",
       "min       0.000000     0.000000    71.000000     0.000000     0.000000   \n",
       "25%       0.000000     0.000000   132.000000     0.000000     0.000000   \n",
       "50%       0.000000     1.000000   152.000000     0.000000     0.800000   \n",
       "75%       0.000000     1.000000   166.000000     1.000000     1.800000   \n",
       "max       1.000000     2.000000   202.000000     1.000000     6.200000   \n",
       "\n",
       "             slope           ca         thal       target  \n",
       "count  1025.000000  1025.000000  1025.000000  1025.000000  \n",
       "mean      1.385366     0.754146     2.323902     0.513171  \n",
       "std       0.617755     1.030798     0.620660     0.500070  \n",
       "min       0.000000     0.000000     0.000000     0.000000  \n",
       "25%       1.000000     0.000000     2.000000     0.000000  \n",
       "50%       1.000000     0.000000     2.000000     1.000000  \n",
       "75%       2.000000     1.000000     3.000000     1.000000  \n",
       "max       2.000000     4.000000     3.000000     1.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2d751cfa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x1440 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "data = pd.read_csv(\"heart.csv\")\n",
    "sns.set(font_scale=2)\n",
    "data.hist(figsize=(20,20))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a1dbb337",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "data = pd.read_csv(\"heart.csv\")\n",
    "\n",
    "data.target.value_counts().plot(kind = 'bar', color = ['orchid', 'salmon'])\n",
    "plt.title(\"heart disease value\")\n",
    "plt.xlabel(\"1 == Disease, 0 == no disease\")\n",
    "plt.ylabel(\"Amount\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "144683ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "data = pd.read_csv(\"heart.csv\")\n",
    "data.target.value_counts().plot(kind = 'pie',figsize = (10, 6))\n",
    "plt.legend([\"Disease\", \"No Disease\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3528700b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    713\n",
       "0    312\n",
       "Name: sex, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sex.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "13ec4d9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2000070bc40>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.sex.value_counts().plot(kind = 'pie', figsize = (10, 8))\n",
    "plt.legend(['Male', 'Female'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c60ef6e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>target</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>86</td>\n",
       "      <td>226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>413</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "target    0    1\n",
       "sex             \n",
       "0        86  226\n",
       "1       413  300"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(data.sex, data.target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1897002e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='target', ylabel='count'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.countplot(x = 'target', data = data, hue = 'sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3802d76b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x20079513dc0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(x = 'age', data = data, bins = 30, kde = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4a1d97b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2007f140a90>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "plt.scatter(data.age[data.target == 1],\n",
    "           data.thalach[data.target == 1],\n",
    "           c = 'tomato')\n",
    "plt.scatter(data.age[data.target == 0],\n",
    "           data.thalach[data.target == 0],\n",
    "           c = 'lightgreen')\n",
    "plt.title(\"Max heart rate vs age\")\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Max heart rate\")\n",
    "plt.legend([\"Disease\", \"No Disease\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "073c372a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2007ef3e820>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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c0WfiGjRoQMuWLXnqqaf0gawapt4DuraXK1dOP+7uYeXLl6do0aLcv3+fyMhIg7GKOb2vdMHLvn37iIiI4OrVq1y+fJkzZ87ov7jktexS586dWbhwIZs2bWLChAn6cbi6oPDFF1/UH1u3bl2eeeYZ/vzzT2bOnMnMmTMJDQ2lRYsWtGnThrCwMJP3xxRdbcJKlSoZvUd8fX1p3bo1mzdvZvXq1QwaNEh/LXSZ0ZCQELPZ+ho1anD48GGDbbrHLVmyhF9//dXk43Tvs0uXLtnkS6AoHCQoFMLOSpcuTdeuXenatSv79u1jyJAhJCUlsXr1at577z2DLJElq1Xcv3/faJunp6dV2wzkWB7GGoKCgvTByIULF2jcuPEjHxMdHU1mZqbJgFXN0mO6a/5wJjQ73evPKeuZfXbvsWPHHvm8unvn5+fH6tWrWbBgAb///ju3bt3i4MGDHDx4kP/7v/+jQYMGfPLJJ6qCQ1PvAV3bH5Ud8/b25v79+0avNadrumLFCubPn2+QkXN3d6dGjRqEhoaya9cui9tuTvXq1QkJCeH8+fMcPHiQZs2acfToUa5du0b58uVp2LChwfFffPEFP//8M6tWreLcuXOEh4cTHh7O999/T9myZZkwYYJ+Aos5mZmZbNiwAcgKwB6enZ/dlStXOHDggD5rrstGZ8+CP8zUvdC9jyzpbjf1+RfCUhIUCpEPRo0axbFjxxg9erR+pqIpzZo1o1u3bixevFhfsiP7H5D9+/cTEBBg9faZytylpKRY/XnUcHFxoWXLlmzcuJH9+/fTu3fvRz5myZIlfP311zzxxBMsXLgw18/t7e1NfHy8QVD3MN2+nIJj3T5vb2+zs0rN8fPzY+zYsYwdO5Zz586xf/9+du3axf79+zl69CgDBgxgy5YtOQYYj6JrX06vEx4EGpZ+EVi5ciUffvghAJ06daJVq1ZUq1aNihUr4uHhwYoVK6wSFOrOP3PmTDZu3EizZs1MZgl1XF1d6dOnD3369OHGjRvs27ePPXv2sH37dqKiohgxYgQrV67Mcf3xffv26QPdnNaYvnv3Lunp6axatUofFOruVU5fJEzt8/Ly4v79+6xZs0bWRhc2JWMKhcgHiYmJXLt2jZ07dz7yWF23qW78XbFixfQD+M1lCrRaLXv37uXy5csWj7/LPlYue9epjqmxifmtXbt2QNaYypy6aSHrNei69XLK3lhCN04up8ysbuzWY489ZvaY8uXL4+rqSlJSEjdv3jR5TEJCAgcOHODatWv64Dw6OpoDBw6QlJQEZGXEXn31Vb7//nvWrVtHkSJFuH37NgcOHMjV69PRvc6oqCiDiT3ZXbp0Sd+OnF5rdt9//z0Aw4cPZ8aMGXTo0IGQkBB9ZtHctciNjh074uLiwrZt28jIyNDX7Hs4KExISODEiRP6eo6lS5emS5cu/N///R/bt28nJCQErVZrtsSNjm6CSd26ddm5c6fZH91Si3/++SdxcXHAg/GrFy5cMDuEwtQkLN11zylTeODAAS5evGjysyyEpSQoFCIf6LKDv/32W45FcrVaLX/++ScAzZs3129v1aoVgNEEFJ0NGzYwYMAAOnfurP8D/ijZx5BdunTJaL9ucLs9tWvXjmrVqpGens4HH3yQ42ubOXMmt27dwtPTk1dffTVPz6u73qtWrTJZpPrUqVP67uDs9+lhvr6++okDP//8s8ljFi1aRL9+/ejXr59+jF3fvn3p16+ffoJRdrp6iWA4AUc3Rs2S8Zo6VapUoUKFCmRmZpp9b+mWZwwJCbF4bKou8DI1JjMlJUUfeFljAlHJkiVp1qwZMTEx/Pjjj0RHR1O/fn2DWeaQtfxh9+7d+frrr43OUbRoUX0GLqdxjklJSfrPZ+fOnXNsV/fu3YGsyUa6cYCPP/44/v7+3Llzx+QXxCtXrnDo0CGj7a1btwayMrCm7u/hw4fp168fHTp04Pr16zm2S4icSFAoRD7o0KEDDRo0IC0tjddee40lS5YYjf25ePEiQ4YM4eTJk9SsWZPnn39ev2/gwIF4enqyYcMGZs2aRWpqqn7f7t27+fjjj4GsP0RFixa1qE3e3t76jNqsWbP07cnIyGDx4sVGMyftwdXVVb+83cGDB+nTpw979uwxOObWrVuMHz+exYsXA1kTOkytBqNGr169KF68OOfPn2f06NEGM5NPnDjB8OHDURSF5557jlq1auV4riFDhqDRaPj2229ZvHixPhBSFIX169frS9H0799fP1FCN6N16tSpBiuKZGZm8uOPP3Lt2jW8vb0NZqrqunbVBgW6Wcxz5sxhzZo1+qBDq9Xy3Xff6QtXv/POOxafUxeQLV261KBr+sqVKwwePFg/NCL7+zgvdFlBXXkdU13HHTt2BGD16tWsX7/eILg6ePCgPsP48Nra2W3ZsoWkpCTc3d0NPp+mVKtWTT/hQ1ec3NPTk9dffx2A9957j+PHj+uPv3LlCkOHDjUZKL/yyisEBARw+PBhJkyYYPBvx8mTJxk5ciSQVZ7q4WBYCDVkTKEQ+cDNzY0FCxYwcuRI9u7dyyeffML06dMpX748vr6+Bmsd16lTh/nz5+tn6kJWt9P06dMZM2YMCxYsYMmSJVSqVIl79+7pszJPPPEEo0ePVtWuESNGMHz4cA4dOkSrVq2oWLEiN27c4O7du/Tv35+1a9fafeB6zZo1+e6773j77bc5ffo0r732Gv7+/pQtW5bk5GQuXbqEoih4eHgwbtw4s6VV1ChevDjz5s3jrbfe4o8//mDbtm1Uq1aNxMREfTd2kyZNmDx58iPP1axZM8aNG8e0adP49NNPmT9/PuXLl+fmzZtER0cDWVmn7DUEBw0axO7duzl69CjdunWjXLly+Pn56e+Ni4sLkyZNMqhhGBoayvnz55k2bRpr166lT58+dOnS5ZHt69y5M+fPn+f7779nwoQJzJo1i1KlSnH16lViY2NxdXXl3Xff1S/lZokRI0YwYsQI9u7dS8uWLalUqRKJiYlcvnwZRVFo2rQp+/fv586dOyiKkue6me3atWPSpEn6gM3UuN1GjRoxYMAAFi5cyJgxY5g+fTqlS5c2+Az17Nkzx8yvbnhCmzZtLBrb261bN44dO0Z4eDgnTpygbt26vPbaaxw+fJgdO3bQo0cPqlSpgru7OxcuXMDb25vHHnuMy5cvG6xoFBgYyNy5cxkyZAhr167l999/p2rVqiQkJOgD7NDQUKZOnarmsglhRDKFQuQTf39/Fi5cyNdff02XLl0oV64cMTExnD17lszMTFq1asX06dNZsWKFyQHs7du3Z926dXTr1g1/f3/Cw8O5d+8ederUYcKECXzzzTeqZthCVk21H3/8kZYtW+Li4sK///5LuXLlmDFjBhMmTLDWS8+zsLAwNm/ezIQJE2jatCmurq6Eh4dz48YNqlWrxoABA9i4caNFk1HUPOeGDRvo168fpUuX5sKFC8TGxtKoUSOmTJnCokWLzJZxedirr77KypUr6dChAx4eHpw7d47k5GQaNWrEtGnTmDZtmkFg5OHhwffff8+IESOoWbMmd+/e5fz583h4eNCxY0dWr15tlA0bN24cTz/9NB4eHly6dMnkkABzxowZw8KFC2nTpg0ZGRmcO3cOHx8fOnfuzMqVKxkwYIDF54KsIG3ZsmW0aNECHx8fwsPDuX//Ps2bN2fu3Ln8+OOPlChRgvv375vsLlXL29tbP2u4RYsW+jG4Dxs7dizTpk2jcePGaLVazp07R1JSEi1btmTOnDn6jLspt27d0o/h7NSpk0Xt6tChg3428erVq4GsL4hffvkl48eP169ZfePGDZ555hlWr16tr6dYpEgRg3M1atTI4P0YERHBzZs3CQkJYfjw4fz8888Wvx+FMEejqBmAIoQQQgib6d69OydOnGDmzJkmu8GFsCXJFAohhBD5IDExkZYtW9K3b1+Tq7lER0dz9uxZAIMlIoXILxIUCiGEEPnAx8cHPz8/Dh48yOzZsw0m2ty8eZORI0eSnp7O448/nqtVa4TIK+k+FkIIIfLJ3r17efPNN0lLS6No0aJUqFCB5ORkrly5QkZGBo899hg//PCDyXW6hbA1CQqFEEKIfHTlyhV++OEHDh06xPXr13F1daVcuXK0a9eOvn37WlxWSghrk6BQCCGEEELImEIhhBBCCCHFq63i3r1EMjMdI+EaGOhLTEzOi9sL+5P75BzkPjk+uUfOQe6TY3Bx0RAQ4GN2vwSFVpCZqThMUAg4VFuEeXKfnIPcJ8cn98g5yH1yfNJ9LIQQQgghJCgUQgghhBASFAohhBBCCCQoFEIIIYQQSFAohBBCCCGQoFAIIYQQQiBBoRBCCCGEQIJCIYQQQgiBBIVCCCGEEAIHXdFEq9Xy888/88svv/Dvv/+i1WopX748zz//PAMHDsTT09Pg+EuXLjF37lyOHDlCbGwsFSpUoGfPnrzyyiu4uBjHvfHx8Xz99dds3bqVGzduEBQURLt27Rg2bBi+vr759TIt4vvTPFxj7+h/1/oHkfDKMDu2SAghhBAFkUZRFIdad0ar1TJkyBC2b9+Ot7c39erVw83NjePHjxMfH0+9evX48ccf8fLyAuDcuXP07t2bhIQEGjZsSGBgIAcOHCA+Pp6OHTvy2WefGZw/ISGBV155hfDwcCpVqkRISAinT5/m2rVrVK1aleXLl1O0aFFVbY6JSbDJ8j26gFCTbZtCzoFhcHBRoqPvW70twrrkPjkHuU+OT+6Rc5D75BhcXDQEBppPfjlc9/GqVavYvn07oaGhbNq0iUWLFvHdd9+xefNmGjRowPHjx/nyyy8BUBSFMWPGkJCQwIwZM/j555+ZN28emzdvJjQ0lA0bNrB582aD88+ePZvw8HB69OjBxo0bmTNnDps3b6ZTp05EREQwe/ZsO7xq0x4OCAE0/20XQgghhLAmhwsKf/nlFwAmTJhAyZIl9duLFy/OxIkTAfj9998B2LNnD+Hh4TRu3JhOnToZHPvRRx8BsGTJEv32+Ph4Vq1aha+vL2PHjtV3Lbu5ufHRRx/h5+fH6tWrSUpKsulrFEIIIYRwNA4XFAYEBFC5cmXq1q1rtK9ixYoA3L59G4Bdu3YB0LZtW6Njw8LCCAwM5MiRIyQkJABw6NAhUlJSaNq0qdHYQR8fH5o1a0ZKSgqHDh2y5ksSQgghhHB4DhcULliwgD/++ANvb2+jfSdPngSgVKlSAERERAAQEhJi8lyVKlUiMzOTixcvGhxfrVo1k8dXrlwZgPDw8Dy8AuvR+gfx8EhF3ZhCIYQQQghrcrig0BxFUZgzZw4A7dq1Ax5kDIODg00+Rrf9zp2sMXjR0dEWHR8TE2OlVudNwivD9IGh7kdmHwshhBDCFhyyJI0pn3/+OQcPHiQoKIiBAwcCkJycDECRIkVMPka3XTdGUPdf3czlRx1vqZxm8uTZ2+ONNplu/QPBwepmTwv7kPvkHOQ+OT65R85B7pPjc4qg8IsvvuCbb77Bw8OD2bNnU7x4cQD9RBGN5uE5ull01XZ0/1V7vKVsVZImN2Tav3OQ++Qc5D45PrlHzkHuk2N4VEkahw4KMzIy+Pjjj1mxYgWenp7MnTuXRo0a6ffrxh2mpKSYfHxqaqrBcZYeby6TKIQQQghRUDnsmMLExEQGDx7MihUrKFasGN9//z2tWrUyOKZEiRLAgzGDD3t4DKHa44UQQgghCguHDArj4uLo27cvu3btonTp0ixbtswgQ6ijm0Wsm1WcnaIo/Pvvv7i6ulKlSpVHHg/oZymHhoZa5XUIIYQQQjgLhwsK09LSGDRoEKdPn9YvO2eu5EzLli0B2LZtm9G+f/75h7t37xIWFqavSdioUSOKFCnCvn37jCaTJCYmsm/fPry9vQkLC7PyqxJCCCGEcGwOFxTOmTOHY8eOUbp0aZYsWaKvSWhK48aNqVatGnv27GHlypX67Xfv3mXSpEkADBgwQL/d29ubzp07ExcXx6RJk8jIyAAejF2Mj4+nZ8+eRoWthRBCCCEKOo2idqqtDcXGxtKqVStSUlKoVauWvpi0KZ999hkAJ06coH///iQlJVGvXj1KlCjBwYMHiYuLo0ePHkyePNnoOV5++WUuXbpE+fLlqVmzJmfOnOHq1avUrFmTpUuX4uPjo6rdMvtYqCX3yTnIfXJ8co+cg9wnx/Co2ccOFRTu3LmTN954w6Jjs686EhERwZw5czhw4ABpaWk89thjvPzyy3Tv3h1XV1ejx8bGxjJv3jy2bt1KTEwMpUuX5plnnmHw4MEULaq+jpIEhUItuU/OQe6T45N75BzkPjkGpwoKnZUEhUItuU/OwdHv0/G4ROK1D/7tKeaqoZ6fup4OZ+fo90hkkfvkGB4VFDrcmEIhhBCP9nBACBCvVTgel2inFgkhnJ1DF68WQjya9/ofcY+6pP89vWwlkjr1t2OLRH54OCB81HYhhHgUyRQK4cR0AaEG9D/uUZfwXv+jnVsmhBDC2UhQKIQT0wWE2ekCQyGEEEINCQqFEMIJFXN9+OtAztuFEOJRJCgUQggnVM/PxygALIyzj4UQ1iMTTUS+k4kR1pNetpJRF7Ly33ZR8EkAKISwJskUinwlEyOsK6lTf9LLVkIB/Y8E2UIIIXJDMoUiX8nECOuTAFAIIYQ1SKZQCCGEEEJIplAIIfKD70/zcI29o/9d6x9EwivD7NgiIYQwJJlCka9049+yk4kRoqDTBYTZx9K6xt7B96d5dm6ZEEI8IEGhyFcyMUIURrqAMDtdYCiEEI5Cuo9FvpMAUAghhHA8kikUQgghhBCSKRRCGJMC49al9Q8y6kJW/tsuhBCOQjKFQggDUmDc+hJeGYbWP8hgLK3MPhZCOBrJFIpCRTJgjyYFxm1DAkAhhKOTTKEoNCQDJoQQQpgnmUJRaEgGrGCyZ/ZXMs9CiIJEMoVCCAPOVGDcntlfyTwLIQoayRQKIQwkdeqvKgNmz2yZPbO/knkWQhQ0EhSKQiO9bCWjP+SOmgGzN0uDuuzZMh1dtky6UYUQwrlI97EoNGSJPeuTbJkQQhQckikUhYoEgAWLPbO/ap9bJqUIIRydZAqFEE7LntlfNc8tk1KEEM5AMoVCiFxzhHGa9sy2Wfrc0s0uhHAGkikUQuSajNMUQoiCQzKFwmH5/jQP19g7+t/ze63YQ/cSSMlWsK+IBhoF+BodZ6uxYvZ+/ZaSAFBYk4y9FMJ+JFMoHJIuIMo+Bss19g6+P83Ll+d/OCAESFGytmdnq7Fi9n79wrqcqSC4PcnYSyHsSzKFwiHpAqLsdIFRfng4IDS3Xe1YMX2weTcruDSXfbTV65csjH2oLQheWMnYSyHsS4JCIfJJTtlHU4GhtUmhafuSayyEcHTSfSxEPrE0+2grkoURQgiRE7OZwoiICKs8QdWqVa1yHlG4aP2DjLpQlf+254ciGtPBWpGHoipblWSx9+t3pq5OZ2qryJkjlDgSojDTKIpiMk9Ro0aNvJ9co+HMmTN5Po+ji4lJIDMzn9I9jxAcXJTo6Pv2boZV2Hv2rbVnH++6m2C0TadlcePzWvv1+3050ShTCFl/dOOGTNT/bqqb2VFLzdi6rQXp8+Qs1Ab5co+cg9wnx+DioiEw0PxwJbOZQjOxoirWOIcovOxdfsXa4/wszT7qZPoUNQgKM32K5un5Lc3COEI3s6UBsSO0VViXo33xMEcy1KIgMhsUnjt3Lj/bIYRTUjN5o1GAr+rsozUnhTjLDNjs5Xh0dOV47P1FQQiQSVui4JLZx0LkgdpMVauda/SPyambU815i307FU16qv53xd2T+DfGm3x+Z/iDZe9yRLbiDAE5OE877Uky1KKgsuns48OHD9vy9EI4lYezC9YozKsLCLMX+9Wkp1Ls26l5b7ATcJai0M5SlNlZ2imEsA3VmcLIyEgWL15MREQEKSkpZGZmGuzXarWkpqZy584dEhISrDLRZO3atYwfP55ly5bx+OOP67f37duXgwcPPvLxw4YNY/jw4frf27Zty9WrV80ef/r0adzcJIkqrMsW2QVdQPjwOcmWOSzInKVL3FkyS87STiGEbaiKfK5cuUL37t1JSEjQTyLRaDRmJ5SUKFEizw08evQokydPNrnviSeeoGTJkib3JSUlsW3bNsBwJvX9+/e5du0aQUFBNGvWzORjXVykfKOwjK1KaNizNEd62UocqtqQu6Uq6rcVvxlJo4h/bP7coL4cj6MFgKLgk9I5oqBSFRR+99133L9/n1KlStGzZ0+KFCnC9OnTefLJJ2nbti03b97k999/5/LlyzRr1oyFCxfmqXFbtmxh3LhxJCUlmdz/1ltvmX3smDFjABgwYABt27bVbz979iyKotCmTRs++eSTPLVPCFtlquyZAdvXuhvxGZmgefAn726piuwrV5l6Nn/2rFnn9i5HJEROnCVDLYRaqoLCffv24eLiwtdff01oaCgACxcuJC4ujh49egDw5ptv8uabb7J//362bt1qEJBZ6ubNm3z++eesX78eLy8vgoKCuHPH8kHmGzZsYP369YSEhPDOO+8Y7NN1Z9eqVUt1u4QwxdI/BGqzC5acV3H3hIe6kBXd9lyK1yoGASEAGk3W9nxS0AJAZ8ksOUs7HYEEgKIgUtVPGh0dTZkyZfQBIUDNmjU5c+YM6enpAHh6evLxxx8DsGLFilw1avbs2axfv57atWuzYsUKKleubPFjExMTmT59OgATJ07Ew8PDYP/Zs2cBCQpF/kvq1N9gYoQ1iizHvzEexd0zKxDkQUBobvaxsI/s917344iZJWdppxDCNlTPpggICDD4/bHHHmPHjh1cvnxZv6RdhQoVqFChgj4AU6ty5cpMnz6dF198UfX4vgULFhAdHc3zzz9PWFiY0f4zZ87g6urKpUuXmD59OuHh4Wg0GsLCwhgyZAh169bNVZuFsITuj6s1q/vbOwC0d1evs3TjOWKbTHGWdgohrE9VxBUYGMitW7cMtpUvXx6A8+fPG2z38fEhNjY2V40aNGgQnTt3Vh0QxsbGsmTJEjQaDUOHDjXan5aWxr///otWq2XMmDGkpqbSpEkTAgIC+Pvvv3nllVfYtGlTrtosREERcPcmPDx5TFGytj8ke6Fp3Y+u0HR+kBIqQghhPaoyhQ0aNOD3339n48aNPP/88wBUrVoVRVHYtWuXfltCQgKRkZEUL17c+i3Owc8//0xycjJPPfWUPmuZXXh4OBkZGfj4+DB//nyD2ceLFi1i6tSpjB8/nrCwMIKDg/Oz6YWKpZkde2egCqvmW5ayr1VXYrLNPg68GUmzHWuIqzrR4Fh7F5qWEir2dSoignsBDypABNy7RW0T//YKy1i64pEQtqIqKOzVqxe//fYbY8aM4a+//mLq1KmEhYVRsmRJ1q1bR/ny5alRowZLly4lOTnZZPetrWi1WpYtWwbAwIEDTR5Tp04ddu/eTVpaGmXLljXY9+qrr3Lo0CG2bt3KL7/8wqBBgyx+7pwWl7aH4OC8rZFrS+mLv4KH/mB7RF3C44+luPd7MJs8ff50eCiwcIu9g//KL3EfOjZf2mprjnqf0oEndqwxue/hNqebOYfGxLG2kB/P76j3yd52HDiWFRBmm5R0L6AkZ/69SKsm9fO1LQXhHm25eMtobfQUBY7GJ9GuiunSa86mINyngk5VUBgWFsaIESOYN28ef/75J5999hkAQ4YM4aOPPmLu3LkAKIqCi4sLQ4YMsX6LzTh06BDR0dGUK1cux2A0pwxgmzZt2Lp1K6dOnVL13DExCWRm5t/MzJxYc6yaLfhdijDK7AAolyIM2u1357bp4+7cdujXZylHvk9+YPrag1Gb1RxrC7Z+fke+T/YW41fC5Cz1GL8S+XrNCso9SsjINLu9ILy+gnKfnJ2LiybHRJbqiSZDhgzh6aefZu/evfptPXv2RKPR8P333xMVFUWlSpUYMWIEDRo0yF2rc+HPP/8E0Hdh54YuYExJSbFKm4RzK/blJDTZFlFT0BA/5CM7tsg0a0+0UFOWRG2haWuzdwkVW3T3OcvEGTWkW1QI56BqJsfRo0dJTEwkNDSUAQMGGOzr0aMHmzdv5tSpU2zYsIFnnnnGqg19lB07dgDk+LwbN25k1KhRbNiwweT+a9euAVCqVCnrN1A4FV1AaLCmMArFvpxk55YZsvdEi4RXhqH1DzIoYZKfYz/tWULl4UAHsrr7Dt1LyPU57X0/bcEW10kIYRuqMoXjxo0jJiaGrVu34u/vb6MmqXfv3j2uXr2Kl5cXNWvWNHtcTEwMv/32Gzdu3KBjx44G+xRF4ddffwWgRYsWNm1vYWZpZsfeGShdQGi4TdeK/FHs26losq1hbKr+oC0mWqg9p6UBoK0yYPbKoj0c6DxquyWv35kmzhS/GZm1FGL2LmRFofjNSAiso9+k9jo5C2u/n4toTF+TIqbGR6hQEDPPwnZUZQpv3LhB2bJlHSogBDh58iSQtcaxm5v5OLdDhw74+vpy5MgRFi1apN+uKArz58/n2LFjhISE8NRTT9m6yYWWpZkde2eg7E0XEBpkKtNTKfbtVDu3LHcKYgZMjYL4+p/YsYbAm5FZ5Yv++wm8GWk8Senh8kaP2u4EbHE/GwX4GgWAee1mL4jvO2FbqjKFJUuWJCYmBq1Wi6urq63apJqu21dXM9Gc4sWLM2XKFEaNGsXUqVNZvXo1lStXJjw8nMjISIKDg5k7d26OgaXIO0u/pRaWANAUzUNL18F/mcpsmcPcsFfWwBEyYPbMmDjC67cFU7PU8yvU05WsSidrwlF+fmm01f209jjLgvq+E7ajKlM4ZswYYmNjGT16NJcvX7ZVm1S7e/cuYNlYwGeffZbly5fTrl077ty5w19//UV6ejp9+/bl119/pWLFijZurXAGisEUE902THQq21f2ZfN0zE20sDRroOaczsIWGRNz3Xp56e5zpmtvcVu1GSaLoaPNyPVzZy+aDvlfNF2IgkpVSuzAgQNUr16dTZs2sWnTJvz8/AgODsbT09Pk8RqNhlWrVuW5kUuWLMlx/7Bhwxg2zPJviLVr19aXzxGFi6XZovghH/03qcSxZx8ndepv8WuyNGuQ1Kk/xRZMhkytfpvi4mo2q+YMY5ZskTFpFOBr9Vm1au4n2PfaW9xWVzeTpWtwzX2PjGvsHf5+th+J/g9KjPnERtNm8+Jcn1MIoTIoXLp0qcHvsbGxOS5lp3n4HwIh7Ch7tkhHly0yFxjai+LuCQ91ISu67Q+xdhDg+9M8NJlawyAqU4vvT/OMuucsvab2Lh1jK5YGgGpev6X3U+372RbsFfzrA8Jsf2MS/YP5+9l+NMyH53eW97OztFM4DlVB4dSpzjnIXQhwrvE18W+Mz5pU8ojZx7agZuk6NdlHZ8go2ootXr/TvJ/NJQfykDR4OCDUnS975tCWnOX97CztFI5DVVD40ksv2aodQoiHWDsAtHfWwJ5/iOz92gHcbl/P8XdHYe01x21VakUNWxTP3vFkV+Nz5umMtiEBoFBD1USTh929e5ejR4+ye/du/vnnH2JiYqzVLiGEldmz0LO92fu1O0uJoewTOHQ/eZ3AYYtSK2qyj7Yoni0FuUVBlauRvvv27WP27NmcOHHCaF9oaCgjR46kVatWeW6cENbkCNkiNSwpXq2WtYMgR7imlmaB7Bn8atJTrT4xwhbXXs3QAbB8oou1S62oyT7aonh2QS3ILYTqTOGyZct4/fXXOX78OIqi4OvrS4kSJfDy8kJRFM6dO8fgwYP58Ucpjikci72zRWo4S2bJ3tfUWTI2BhMj/vvRTYzILXtfe3sWRrZJ9lEIoS5TeOrUKT799FMURaFfv3707dvXoGB0ZGQkS5cuZdmyZcycOZNGjRrluOycEPnNEQNAU2xVvNoW7HlNnSVjY++JEbZg74kuugAwOLgo0dH38+U5hSjoVGUKf/jhBxRFYfTo0UyYMMFoBZGKFSvy/vvvM2rUKDIyMh5ZX1AI4Xh0ywtmp1tmUDgOW2TqCuK9t0WRcVucUwhHoCpTeOjQIfz9/XnttddyPO61117ju+++4+DBg3lqnBAi/yW8MszqM1ALKovLfdigLIvaTJ0l97Qg3ntbFBm3xTmFcASqgsJ79+5Rs2bNRxaldnFxoXz58oSHh+epcUIUVmqKV9uCMwcB+UVN8Wh7l2V5eFk4eDCr2FRgaAlHmGRkKVsEaxIAioJIVfexn58f169bVlvrxo0b+PrKh0aI3Ih/YzyKu6fBJIL8Kl4tLKMmU2fviRFqZxVbwt4TXYQQ1qcqU1i/fn3++usvfvnllxwLWa9du5Y7d+7w1FNP5bmBQhRWtggAZXUD+7F2AOgImTpL3zunw89xN6is/vfid6KoFVrdVs0qFKT7WtiCqkxh3759URSFjz76iO+//56EBMOyDwkJCXz33XdMnDgRjUZD3759rdpYIUTu2bOEiCi89AFhtnI8d4PKcjr8nL2b5rScpRSTcD6qMoVNmzbljTfe4Ntvv+Wzzz7j888/p1y5cvj4+JCQkEBUVBSZmZkoisLAgQNp1qyZrdothFDJ3iVEbKGYq4Z4rfFgvWKuth+sZ+9MnZr7qfUPMupCtsasYkuyVfqA0KChGoPMYXaSzX40ZynFJJyP6uLVo0aNYtq0aZQtWxatVsvly5c5c+YMV65cQavVUr58eaZNm8bo0aNt0V4hhNCr5+djFAAWc9VQz8/H5s/tTGPqEl4Zpi83o/vJ66xiW2SrJJsthH2pyhQmJibi4+ND586d6dy5M//++y+RkZEkJibi7e1NpUqVqFy5sq3aKkShIhkTy1gaAKq5nqciIrgXUBJisooiB9y7Re2qVY2Oc6b7YWkAaGlJGltkqxwhm13QSvIcj0s0yKbn15cm4ZxUjyns27cvsbGxAFSuXJmnnnqKjh078vTTT0tAKISV2CJjostqZeeoJUSsTc311AeE2cbA3QsoyamIiPxudo50s9MNtpG3skXZS9fofnSla4wbYCb6e2h78TtRxscqStZ2B6Pq9duRpcWzHw4IAeK1CsfjEm3UMuHsVAWFly5d4ubNm/j7+9uoOUIIsE3GxJm6O61NzfXUB4QGB2cFho7E3FKImjwshWiL0jW1Qqs/CAz/+3HU2ce2eP22YGmJI1PjbXPaLoSq7mNPT0/c3FQ9RAhhY9LN7BwK2n3yiY02XtNZUfCJjYbAogbHNjp3wPi1mwgK08tWYnOzF8E1298ZbQbP7vvV6u13dgWx/ExB+4yo4Sjd/Koyhb179+bSpUssXrzYVu0RQqigpltUBvHbT0G89m02L84KALNlAH1io2mz2fDvg5rXvrll16yAMFvXPa5uWdtFgVYQPyOWcqRuflVpv2rVqlG/fn2mTp3KDz/8QN26dSlRogQeHh4mj9doNLz77rtWaagQhYml5U7UdIs6wiB+Z1D8ZiR3S1U0yoAVvxkJgXVydU73qEvsa9WVmFIV9dsCb0bSbMeaXLdTbUkca2dh0stWos3mxVZ9j2btNO66zytLCz3bqnSPvdizZJNahfnfJ0fq5lcVFP7vf/9Do9GgKAo3b97k5s2bZtdBVhRFgkIhcimpU/9C3ZViT0/sWGM2gIurlbugcG+rrkaBZkypiuxt1ZVauWynmveImnWabfH8FlMU00GguUktFsipdM7DgWHCK8MK1Ozjen4+DtMtKZyDqqCwc+fOZoNAIYR1FbQA0JmC3CdMZPDy8p3dKPMIWQWcswWeOra4TrbKwljarr+e7Zc1/vA/prqZ1Tpy5RpJPn76skHeiXGEVShndJza0jl/t3/VOKuYp5baV7Ptq53mcyfsT1VQOG3aNFu1QwiRC/ZeVcNStshUqaHmOtnzmqq5Tra4prZ47X+9MDAreMsWFCf6B/PXCwMJe/hgbcaDMYX6BihZ27PRB4TZjkvy8ePIlWsmA0NLqckqOgN7f+7UcJZ/y2zBkbr5VU00WbduHbt27bL42FmzZuWqUUIIyzhLmRl7jxdSc52SOvU3qAGoq/2Xp2tqrofloe32HiOq9v3kvf5H/L6cqP8xNSkgydffZJY0ydff6NgXVn9hMHFF9/PC6i8Mz/lQQKg/p4+fxa/VlIK2fJy9P3dqOMu/ZbZgz5WZHqYqUzhu3Dgef/xxWrZs+chjFy9eTGRkJCNHjsx144QQj2bpP5qF+Zs4WH6dvNf/aFADUAOQnuqQ2RVLqbn3aq6TtbNQf70w8MGs44e2G2UVLVREYzqoM1cAWtiPs36+rMFRxnmaDQpv377N2bNnjbbHxcWxY8cOsydUFIWoqCguXLiAp2fuK+sLIaxLJq9YxpmyK5ayxb23SabSRPbQXFbRUo0CfC2efSxEYWc2KPT29ua9994jJiZGv02j0RAREcHgwYMfeWJFUWjVqpV1WilEIWSLWYP2CgALe5ayiAZSMhWjsXJFXAzDKlteJ3vde1tk6rwT44y7kBUF78Q4o8LZYHkAaKusoqVBqbU/84X9cyfUMzum0NfXl3HjxlG6dGn9D4C7u7vBtod/ypYtS7Vq1ejYsSOTJk3KtxciREHiSMVMraEwjxcCaLVzjclCz612Gs5yLojXydIl2dQIq1AuKwDMdj3NzT62d1tzmrySnS0+8wXx/SRsK8cxhS+88AIvvPCC/vfq1atTp04dli1bZvOGCVGYOVIxU2spiH+ILO2SdY+6xFMmulVN3U1nuU5qslCqMnUWZFQB3PwCINvnwc0vwNKm56jVzjVW7Wa3dPKKrT7zzvJ+Eo5B1ezjqVOn8uabb9qqLUII4TQK87JcYJsslKUZVVtl0u16T80V6M5D4W4h1FI1+/ill14yuy81NZX9+/eTmZlJWFgYxYoVy3PjROEmlfgLFjUTHZxhQozaiRa2KOBsb5beE0vH1FmaUbVVVq0gTjISQg1VmUKAa9eu8f777/PVV1/pt128eJF27doxePBghgwZQps2bfj999+t2lBRuBS0MXVqmSta6ohrllpCTQbG3hk4XfYru7wOzv/rhYFZAaGu3IpGoy/gnFuKi6vJdiourrk+py1YOqauoDI3SeXh7cVvRhpnBXVrbguRT1RlCm/dukWPHj24d++ewczi999/n1u3blGkSBGCgoK4du0aY8aMoXLlytSoUcPqjRYFX0EcU6dGQVuz1N5FmdXIXr5Fg3W6RdWUWrE0q6bJ1Jq8TmRqTbbBXtnXglYQWq1GAb78E3mZxKLF9dt87t+lYcXHDI6zxZrbQqilKij8/vvvuXv3LvXr19eXpbl48SJHjx7Fzc2NNWvWUKVKFX788UemTp3KokWLmD59uk0aLkRB56wBYEGgC5aCg4sSHX3f5DG2KPdhq2XWnGW5M0uvqS5Yf1he8+i2uKe+P82jTewdo3Nq/YNIeGWYwXM327FGyscIu1LVfbx7926KFCnCl19+Sf369QHYtm0bAE2bNqVKlSoA9OvXj+LFi3Pw4EHrtlYIIRyELSZa2CqrZu/sq6UsvabmLkdek4+2uKeuDwWEkHXtXWPv2Py5hVBLVabwxo0bVKpUieLFH6TBd+/ejUajMVj6TqPRULp0ac6fP2+9lopCxZEWCBd5pyYD40wFd10S7+f4u44tiiJr/YOMAg5dBsqRqCkzA/YvobKvdTfjYRsmjrPFKin2fu1CqMoUuru7o9U+GK+SlJTEP//8A2RlCrOLi4vD3d3dCk0UhZEjLRAu8k5NFsRZMia+P83TB2W6H9fYO/j+NM/oWFsURU54ZRha/yCD6/Rwl6QjsLTMjCOwdIJbYZ88IwouVZnCChUqEBERwf379ylatCg7duwgIyODUqVKERoaqj/u1KlTXLt2jZo1a1q9waLwKOwBoD3Lsth7iT1HCwBNsbRbUMeSAFBtRtHSAFBN9tUWayRbWrjbUrbqSbB0glthnzwjCi5VmcInn3ySlJQUhgwZwuLFi5kyZQoajYYOHToAkJyczMaNGxkyZAgajYZnnnnGJo0WoqCzZ1mWwl4OyJ5skVEEy7Ov9i4HZCnpSRDCNlRlCl9//XX+/vtvDh06xOHDh1EUhccee0w/E/nkyZO88847ADRo0IBXX33VKo1cu3Yt48ePZ9myZTz++OMG+27cuEHr1q3NPrZhw4b8/PPPBtvi4+P5+uuv2bp1Kzdu3CAoKIh27doxbNgwfH3z9o+vKHx03Yg61ujCs+fEALXlgCzNLKnJQNlivJazULPMmpprakm2z1bvO1sU7tYFgDnNEC/IbPHvjhCqgkIfHx+WL1/O6tWrOX/+PBUqVKB79+4ULVoUgMqVK1OxYkU6duzIG2+8gYeHR54bePToUSZPnmx2/5kzZwAIDQ0lJCTEaH+lSobdIwkJCfTp04fw8HAqVapE69atOX36NAsXLmTXrl0sX75c/3qEeJTs48p0dOPKCsM/0JaWOlFTEsVWZVmszRYTPdRcJ2cpM/PXCwNJ8vEzmGiiK9wdZsd2mWJpt7Sabn5blbkpzP/uCNtRFRQCeHp60rt3b5P7goKC2LRpU54bpbNlyxbGjRtHUlKS2WPOnj0LwMCBA3nxxRcfec7Zs2cTHh5Ojx49mDRpEi4uLmRkZDBhwgTWr1/P7Nmz+eCDD6z2GkTBpnZcWUFjaWZJTQbKWcZrJbwyzOrZGmcq8m0pNYW77c3SovGNAnwtzmZnL4auk9dsuq3+3SloS1EK9VQHhdllZmZy69Yt7t+/r8/SKYqCRmPi65IKN2/e5PPPP2f9+vV4eXkRFBTEnTum3+y6TGGtWrUeed74+HhWrVqFr68vY8eOxcUla0ilm5sbH330Edu3b2f16tWMGjUKb2/vPL0GIfLCnmVZpByQ5QpaVsaZygHZiqXjEtVkrS0Jluyd+S2IWWqhnuq1jwFOnz7N8OHDefzxx3nqqafo3LkzAFFRUbRt25alS5fmqVGzZ89m/fr11K5dmxUrVlC5cmWzx549exZvb2+jbmJTDh06REpKCk2bNjUaO+jj40OzZs1ISUnh0KFDeWq/EHllz7IsMoi/8HKWckAFkb0zvwUxSy3UU50pXL16NRMnTiQjI8NoX1RUFFFRUXz66aecPn2aqVOn5qpRlStXZvr06bz44ov6bJ4psbGxXL9+nVq1arFw4ULWr1/P5cuXKVq0KG3atGHYsGGULFlSf3xERAQA1apVM/u8AOHh4QZrOwthji0LCFv6h9gWA84tDQAtzSypyUCpLctSkCalOEKRb0uLN4Nl194WhbsdgbN0n6r5fOw1s/ayKDxUZQpPnz7NRx99BGSN4Vu3bp1+uTvI6sIdNmwYrq6urFu3jvXr1+eqUYMGDaJz5845BoTwYDzh6dOnmTVrFoGBgTRp0gStVsvKlSvp2rUr//77r/746OhoAIKDg02eT7c9JiYmV+0WhY+9CwirKaBsC5ZmltRkoNSUZSloRYTtXeRbTTkiS6+9rcrs2JOzlO5R8/nQB4Qajf4nplRF9rbqmj+NFQ5BVabwu+++IzMzk8mTJ9OtWzcAg8DNx8eHYcOGUb58ecaOHcuaNWvo1KmTdVucjW48YbVq1fjqq68oX748kLXSygcffMBvv/3G6NGjWbt2rX47gJeXl8nzFSlSxOA4ISxhz3FljjDg3NIgRE2wYmnAYO9JKbbIFtmzyLeackRqrr0zB4Cm2KL71BZZYjX36K4uIMxOo8nanoe2CueiKig8dOgQgYGB+oDQnE6dOjFz5kx9Js9WXn31Vdq1a4ePj4/Besze3t588sknHDp0iNOnT3Ps2DHq16+vD2DNTYRRFMXgv5YKDHSsf/CCg6WkjjOwxn1KN7Ndk4fzpy/+Ch764+YRdQmPP5bi3u+tXJ3TZu6azwha63Ng7jxOdZ0speZ65sO1t1R+P58tPncMHJb1nroU8eB8lari0+8tjAZzWHqsNe6nRmN8rJq25vScwuGoCgrj4uJM1gI0pXTp0pw7dy5XjbKUq6urPjv4MC8vL5o2bcr69es5ffo09evX188oTklJMfmY1NRU/WPViIlJIDPTMeplFNZCrs7GWvfJD4wyFpD1rT235/e7FGH6nJciTJ7TUcdWWeP65nSf1F4nZ6fmNeXn67fHv3m2+NwBeKdpcc/2e3qallhz52vfx3ibje6RyWNVPr/8bXIMLi6aHBNZqsYUBgQEcPXq1Ucel5mZydWrVw2yd/YQFJQ12D85ORmAEiVKAJgtb/OoMYdCOBrdeMbsrDXRxRL2HltlbrKCs09isBdzZYdMbfdOiIWHe1UUJWt7Aacby5ldXrtPbfFZUvP5UHPvRcGlKlPYqFEjNm7cyM8//0yvXr3MHrds2TJiY2P1ayLbyrx58zh//jxDhw4lNDTUaP+1a9cAKFWqFPBg1rFuFvLDLl68CGDyXEI4IlsUUFbDPeoS+yycsWhJUWC11BQRtjdbZFStfe8tLd4M8NRv3/G3meXr4oZMzHUbnEFSp/4cuXIta6WW/3gnxhFWoVyuz2mLcYpqPh9q7r0ouFQFhW+88QabN2/m008/JSYmhg4dOpCZmanff+vWLZYvX863336Li4uL1dY+Nic8PJwtW7ZQuXJlo0AuJiaGPXv24O7uTpMmTYCsoLZIkSLs27ePpKQkgwLViYmJ7Nu3D29vb8LCHG3xJSHMs3YAqGYQ+d5WXY0GqOtmLGYvJ5/TrFZrBIb2oOY62aLYr62WOlNzP54ysX6xYwyksa1D9xJIeWhFliRff4dbihHUfT4kABSquo+rV6/Oxx9/DMD8+fN5/vnnOX78OABhYWG0bt2aBQsWoNVqGTt2LHXq1LF+i7Pp2bMnAAsXLuTIkSP67YmJiUyYMIGEhAS6deum7w729vamc+fOxMXFMWnSJH2txYyMDD7++GPi4+Pp2bOnUWFrIQoTNaVOLJ2xqGZWq7NQc51skQUq7Ess2pO9Z70LYSuqi1d36dKFqlWrMm/ePPbt20d6etY8rMTERFxdXWnYsCFDhgyhWbNmVm/sw1q0aMGAAQNYuHAhffr0oWHDhgQEBHD48GHu3bvH448/ztixYw0eM3LkSA4cOMC6des4cuQINWvW5MyZM1y9epWaNWsyfPhwm7dbCEfnCBNFnEFhvk5qMqX27uJX8/z2mjjlbGVepKu5YMrV2sd169blm2++IS0tjcjISBISEvD29qZ8+fL4+OTvm2LcuHHUq1ePpUuXcubMGTIzM6lQoQIDBw6kf//+uLu7Gxzv7+/P8uXLmTdvHlu3buXvv/+mdOnSDBw4kMGDB+d7+4VwaubWOc/j+ufC8SV16m9RAJVTAeX8CAzVPL891/S19Ho6AlsOBxH2laugUMfDw8PiEjV5sWTJkhz3t2/fnvbt21t8Pn9/f95//33ef//9vDZNiEKtmKvGZBewqbWTLTmuoLJFFkjtEou2yNZZErCo7Wq1dmCk5vktnThlq6X7HDEANKUgDgcRWcwGheZm6KpVtWpVq5xHCOF4LJ2xWNhnNtoiC6Rm5rm9s3WWsmemDiyfOOVMs96FUMNsUNixY8c8n1yj0eiXohNCOA81f/AsDezSHirw/vDvBZ0tghpLZxmryZbZM9hRMyFH/yXjv5U4rPElQ81Sb2o4S7ewEGZnHyuKkuef7OVqhBDOIaeskiOdU1ifLe6TT3yMySLXPvExuT5nTmPa8oOa62TvAu+2IIWuCy6zmUJbL1EnhHBMtii3ISU8nIMt7lObjQutXuTaZmPaLJw4pXacorXLEdlbYR8OUpDlaaKJEMK5OMs/5M7S3WaL1WRs8dptNTHC0q5mS4tcp5etxKGqDQ26a4vfjKRRxD+5bqOa117YJ0SpYem/G7r3czpZa0Y76mdZZMl1UHjx4kV27NhBZGQkiYmJeHt7U6FCBVq0aEGNGjWs2UYhhBU4SxkJe082sJQtVhSx1Wu3xcQIW0xe2de6G/EZmQaZubulKrKvXGXq5bKdstSb/Tz8fs7ede5In2XxgOqgMDk5mYkTJ7Jhwwb92EEdjUbD559/Tvv27fn4449lZRAhHIilXW62yCqpOaezdLe5xt6xeN1nS9nytVsSqKm5T5Z2oaopnROvVUxO9Hj4Pao2o2ftpd7UXCd7F6W2Z9bdWT7L4gFVy9xptVreeustfv31VxRFISwsjH79+jF48GD69OlDvXpZ3+X++OMPWRlECCfVKMDX6I9bXrNKtjinve3VBYQajf5HV75EPJDwyjC0/kEGywFao5vdntS8n9Ush2htBXGSi7AtVZnCtWvXsn//fsqUKcP8+fNNdhOfOnWK4cOHs3//ftatW0fnzp2t1VYhRD6xRbDmzAGgKbYqX2JPtpoQZO0A0BGKJ6t5P9urq1Rtpk66zoWqTOEvv/yCRqNhzpw5ZscN1q5dmy+++AJFUVi7dq1VGimEyDtnKSOhy6pk58hrwFpTYX7twr5sUeZH3s/OR1Wm8Pz581SsWJHatWvneFzdunWpWLEiFy5cyFPjhHAGzrKygbMMonemNWCtraC+dnt/RtQ8vz2vvz2f2xbZ1+zvZw3523UuckdVUJiWloa3t7dFx/r4+HDjxo1cNUoIZ+Esy4fpOFoAaI4z/NEIuHeLewElDbuQFYWAe7cgsGiuz2vP126LSUZqPiO6wOFhecllq3l+e858t8Vz23uSCzx4PwcHFyU6+n6+Pa/IHVXdx2XKlCEiIoL4+Pgcj4uLi+PChQuUKlUqT40TwtFJUebCq3bVqlkBoKLofwLu3aK2E6/3bosJQWo+I+Y+Nnn5ODlLoWlbPLc9J7kI56QqU9i6dWsWLVrExIkT+eyzz3BxMY4pMzMzmThxIunp6bRu3dpa7RRCCJMs7XKzRRemUQCYhwyho7D0mtiqILYlpMi05SwNAOWaClCZKXz99dfx8/Pjjz/+oEuXLixbtox//vmH8PBwjhw5wtKlS3nppZfYtGkTxYoV4/XXX7dVu4UQwuKSG7L2svXZs8xQPT8fo2DFEcfHOhO5pgJUZgqDg4NZsGABgwcP5ty5c3zyySdGxyiKQvHixZk3bx4lSpSwWkOFcET2zJY4Cmcojivd/LZh7YLYarJVumDlUWPVnKXQtNrntsUSixIAClWZQoAGDRrw559/Mnz4cOrWrUuxYsVwdXWlaNGi1K1blxEjRvD777/TsGFDW7RXCIdSEIsyqyHFccWjqPmM2DtbZc8xeGqeO/sSi7of3RKLQuRFrtY+LlasGEOHDmXo0KHWbo8QTqewBICmyDJWwhLWXmZODbVZYntOwrD0uR9eNhAeBIZC5IXqTKEQQjgKS4vjmuvOL0zd/IWWYib6M7ddiEJMdaZQq9WyZcsWjh49SmxsLKmpqWaP1Wg0zJ49Oy/tE0JYkb2LCFubpcWeGwX4FrjXLuzLGQrBC6GWqqAwKSmJvn37cubMGSBrUklONA+vCyqEsBtbFNp2pOK4jyIBYOHkExtNon+wUZFxn9joXJcQymlJuPwIDLX+QUZdyMp/24XIC1VB4VdffcXp06fRaDS0bNmSKlWq4OMj34yEcAa2mIFbUJdlEwVHm82L+fvZflmB4X98YqNps3kxcUMm5uqctlgSTo2EV4bZZPaxEKqCws2bN6PRaJg/fz5PPfWUrdokhHAiEgAKR5ZethJtNi+2azbbFiQAFLagaqLJzZs3KVeunASEQgghnIIs9SaE5VRlCv38/PDy8rJVW4QQNiSFtoUzsMWEIGsHgLIknCioVGUKW7RowcWLF7l69aqt2iOEsJHCXmhbOD5nWY7Q3kW2hbAVVZnCYcOG8ddff/H2228zf/58Spcubat2CSFsQAJA8Sj2LN3jTMsRqgkAZTKWcBZmg8K3337b5Pbg4GDOnDnDM888Q2hoKCVKlMDDw8PksVKnUAghnIctyhYVdtmXgtTRLQUpgaFwNGaDws2bN+f4wIyMDE6fPs3p06fNHiN1CoXIPWcpOSFFfJ2DJRlAZ8rU6V/P3ayu5fweCmFpRtU96hL7WnUlplRF/bbAm5E027EmX55fCDXMBoXDhjneHx8hCovsC97r6Ba8d6TA0N5FfIVlnCUDaOlkKHu/HjXPv7dVV+6WqmhQPDumVEX2tupKrXx4fiHUkKBQCAfkLAve27uIr7CMs2QALV2O0N6vR83zPxwQAqDRZG3Ph+cXQg3Vax8LIYQomGxVtuh0+DnuBpXV/178ThS1QqubPFYyXc5BJs8UTBaVpImOjubLL78kPT3d7DGvv/46M2bM4NatW1ZrnBBCiPxji7JF+oBQo9H/3A0qy+nwc3lsrZMwN7beicfcZ588o/vRTZ4Rzu2RmcLly5czffp0UlJSaNy4MY8//rjRMbdv32bPnj3s3buXn376iffee4/u3bvbpMGi8CjMA6mdZcF7KeLrHNRkAK39GdMHhNn9Fxjmlr0LsRf25394NjU8CAzzwlkm1xVkOWYKlyxZwqRJk0hOTiYgIIDk5GTTJ3FxYdCgQZQoUYKUlBQ+/PBDfv75Z5s0WBQOzlLE1lYSXhmG1j/IYGkuR/wHUor4CnuwdyH2wv78tpB9cp3uRze5TuQfs5nCy5cvM2PGDADefPNNhgwZgqenp8ljg4KCeOeddxg2bBgzZ85kyZIlTJs2jZYtW1KuXDnbtFwUaDKQ2nkWvJcA0PEVxM+TLgAKDi5KdPR9uz2/vVj6/M7S4+Isk+sKOrOZwqVLl5Kenk6fPn0YOXKk2YAwOw8PD9577z1eeuklUlNT+emnn6zaWCGEEMKZmOvSzY+uXlv1uKSXrcTD3yeU/7YL52Y2KNy3bx9ubm4MGTJE9Un/97//odFo2L17d54aJ4QQ9nA8LpFddxNYG36DXXcTOB6XaO8mOa8CONFCDXt29doqQ5zUqb8+MNT9yOzjgsFs93FUVBRly5YlICBA9UlLlixJpUqVuHr1ap4aJwovew+kFoVXQSzIbc/Pk0xGcszu2ryydgDoLJPrCjqzmcKMjAy8vLxyfWIvL68cS9iosXbtWkJDQzl8+LDJ/Tt27OD111+ncePG1K5dmzZt2vDhhx9y8+ZNk8e3bduW0NBQsz8ZGRlWabfIvYI4kFo4h4JYkNuenyeZjCQs4SyT6wo6s5nC4ODgPGX6rl27hr+/f64fr3P06FEmT55sdv8333zD//3f/+Hi4kLdunUJDAzk7NmzrFixgj///JOlS5dSpUoV/fH379/n2rVrBAUF0axZM5PndHGxqHyjsDEJAIWwHnt+niQAtIy1J4U4W4+LBID2ZzYorFOnDlu2bGHPnj00b95c1Un37t1LXFyc2aDLUlu2bGHcuHEkJSWZ3B8REcHs2bPx9vbmhx9+oEGDBgCkp6czZcoUfvrpJyZMmMCKFSv0jzl79iyKotCmTRs++eSTPLVPCCGEsAZbrGds6bKBQuiYDQo7duzI5s2b+fzzzwkLC6NIkSIWnTA5OZnPPvsMjUbDU089latG3bx5k88//5z169fj5eVFUFAQd+4YT0tfv349Wq2WAQMG6ANCAHd3dyZMmMCmTZs4duyYfnwkwJkzZwCoVSu3S5ELIZyRpX8cnWkMnL3/4MtSZ9Zjq0khEgAKNcz2k7Zt25awsDDOnDnDwIEDuX79+iNPduXKFd58803OnDlDcHAw3bp1y1WjZs+ezfr166lduzYrVqygcuXKJo9zd3cnNDSURo0amdynq5F4+/Zt/fazZ88CEhQKUZgUxGLo9n5NstSZEAVPjsvcff7553Tp0oXDhw/Trl072rVrR7NmzahWrRr+/v5otVru3bvHhQsX2LdvH3///Tfp6el4eXnxxRdf5HqiSuXKlZk+fTovvvhijuP7RowYwYgRI0zuS0pKIiIiAoBSpUrpt585cwZXV1cuXbrE9OnTCQ8PR6PREBYWxpAhQ6hbt26u2iyEvdg7W+QM1GRh1Ew0sWemzN4FqW211NnDs7+tMSmlMH9GbHE91dBf+7tZX1ZyuvayzJ395RgUlixZkpUrV/Luu+/yzz//8Mcff/DHH3+YPFZRst501apVY8aMGdSoUSPXjRo0aFCuH6vz7bffkpSURJ06dShdujQAaWlp/Pvvv2i1WsaMGUOdOnVo0qQJFy5c4O+//2b37t189tlnPPfcc3l+fiHygy3GIQnLZM+U6egyZdKFmju2KAfkLJ8RW0wKsXd5JTXXPvsydzq6Ze4kMMw/OQaFAGXLlmXZsmWsW7eOtWvXcvToUaOSLUWLFqVly5b6bKK9Z+/u2LGDr7/+GhcXF95991399vDwcDIyMvDx8WH+/PkGE2EWLVrE1KlTGT9+PGFhYQQHB9uj6UKoYu9sUWFmq0xZYWaLckDO8hmxxaQQe5dXUnPtZZk7x/DIoBBAo9Hw0ksv8dJLL5GWlsaVK1eIj4/XTwIJCgpC4yDV6bdv386IESPQarWMGjWKJk2a6PfVqVOH3bt3k5aWpp94ovPqq69y6NAhtm7dyi+//KIqWxkY6DjfNiFrLVDh+Kxyn+6aHz8m74MHfOOTSMjINN7u5mJ0nYKSUrmTYlxjNaiIu8Gx5qqwasifa6/mNdlCeqWq/BXyBIn+D75A+8RG89T5vbl//ly+n3N8Pif6jDxv7fbY+7WreH57f55EFouCwuw8PDyoWrWqLdqSZ6tXr+ajjz4iIyODoUOHmgzscsoAtmnThq1bt3Lq1ClVzxsTk0BmpmN87bTX4vBCnfy4T/I+eKBBMW+TWZgGxbyNrlMNb0+Op2cYjcOq4e1pcKwfGGU2IKvobn5cezWvyRYONe1MSqZisFxdon8wfzbtTCMbPL+515SXz1Jh/ozY+7U//Pz2/jwVFi4umhwTWaqDQkc1e/ZsvvrqKzQaDePHj+fVV19VfQ5dwJiSkmLl1glhG85WnNae1HTD6cZb5RRwpJetZNSFrFsDNr/Yc0xcioLx+sUaTZ66ZW1RDqgwf0bsXV5JzbWXZe4cg9Mv3aEoCu+99x5fffUVHh4efP7552YDwo0bNzJq1Cg2bNhgcv+1a9cAw9nKQjgyWQ5QFCS2WBKvMH9G7L3EoJprL8vcOQanzxROmzaN1atX4+vry1dffUXjxo3NHhsTE8Nvv/3GjRs36Nixo8E+RVH49ddfAWjRooVN2yyENbXauUYKCNuBe9Ql9rXqSkypivptgTcjabZjjf0a5aDUlO6xRcBi7wDQnqWL7L3EoO7aW9LNLwGg/Tl1pnDnzp0sWrQINzc3vv766xwDQoAOHTrg6+vLkSNHWLRokX67oijMnz+fY8eOERISkuuVWITIb1JA2H726gJCjUb/E1OqIntbdbV30xxKYX+PFvbXL5yLU2cK582bB0BgYCDLly9n+fLlJo976623qFKlCsWLF2fKlCmMGjWKqVOnsnr1aipXrkx4eDiRkZEEBwczd+5c3Nyc+rKIQkTKotjPXV1AmJ1Gk7Vd6BX292hhf/3OQpZszOK00U9ycjInT54E4NatW2bHCQJ0796dKlWqAPDss89StmxZvv76aw4dOkRkZCQlSpSgb9++DBkyhOLFi+dL+4UQwpnZexKDENYihegfcIqgcMmSJUbbvLy89OsYq1W7dm3mzp2b12YJIQozc7VZHaRmq63V8/Ox+xJqQliDZHMfyFVQGB8fz/nz50lMTHzksa1atcrNUwghLKC2LIo914AtaOvPSqbMskkMjlC6x55s9folIBe2oCoozMjIYNKkSfzyyy9otdpHHq/RaDhz5kyuGyeEyFlSp/4Wj4Wx5xqwzrL+rBqSKbOMmvdoQWSL12/vNY1FwaUqKJw3bx6rVq0CslY28ff3l0kZQtiZpX9c7LkGrLOsP6uW/AG2TGEJAM2x9uu395rGBU1hz2Znpyqi+/XXX9FoNIwdO5a+ffvi6upqq3YJIYQQQthcYc9mZ6cqKIyOjqZChQq5WkJOCCEsVdDGHwohHFthDABNUVW8Ojg4GBcXp653LUShZW6t1/xYA1bNc+c0/lAIYX4yU2Ga5CRsQ1WE1759e65cucK5c+ds1R4hhI3Ycw1YNc9dUMcf2tuhewnsuvvgR4Js52XvNY1FwaWq+3jYsGHs2rWLYcOGMWnSJJo0aSITTYRwIvbsgpXuX/spiLO/CzsJAIUtqIrovLy8GD16NIMHD2bgwIG4urri6+uLxkyxVo1Gw969e63SUCGEELkj2VchhCVUBYV79uxhyJAhKIqCoihkZGQQGxtr9nhzwaIQQphTRGM6WMmPsY/ORibkCOHYnG1Ws6qgcP78+WRkZFCzZk169epFmTJlcHd3t1XbhBCFUKMAXwl2LCBdwkI4NmdcU1lVUHju3DmKFSvGkiVL8PGR8QxCCNsozEGNpZkFNV3Ctsq+yoouBYuzZbUcnTOuqaxq9rG7uzvlypWTgFAIIWwge2ZB96PLLOSFLWae57TUmnA+tnrvCeeiKlPYoEEDDh06RGJiogSGQuSCvsvvblY5EOkWFdnZMrNg7feZLLVmfWqGTVg7q+eMWS1hfaoyhcOGDSM1NZX333+fpKQkW7VJiAJJijILa7JnMXJhfWr+fZCsnnNIL1uJh78iOfqayqoyhbdu3eKll15i1apV7N27l7CwMEqWLImXl5fJ4zUaDe+++65VGiqEs5OyIMKaGgX4suuuccAgmWfnpObfB8nqOQdnXFNZVVA4dOhQfZmZuLg4/vrrL7NlZxRFkaBQCCFUSC9byegPvrnMgrmxe8fjEvNlskcxV43JrmJZas05qXnvCcs5cgBoiqqgsHPnzlJ7UAghbERNZsHeY/rq+fnI7OMCxBmzWsL6VAWF06ZNs1U7hCjwpCizsIQz/RFOy1Ry/F1YTs2/D7bK6tnivaf/4vDfUAf54uDYVE00EULkni3KgghhLzJxyrrU/PuQ1Km/fhKD7scRs3pStsj5qMoUCiHyRvcPfHBwUaKj79u5NcIRWdqFp3ZMn7VXiVEzMUK6mS2j5n44WgBoir2HOAj1VAWFNWrUUHVyjUbDmTNnVD1GCCEKKzXLYqkZ02fPJfFyyhZJYCiEY1EVFCqK5dF90aJFVTdGCCEKM7WlRiwNquxZDkmyRUI4D1VB4YYNG8zuS05OJjo6mm3btrFu3Tq6du3KuHHj8txAIYQQjkcmTolHkbJFzkdVUFitWrVHHvP0009TvXp1pk6dSu3atXnhhRdy3TghhBDm2XOsXqMAX6uPUxQFSz0/H5MF1mXYgOOyyezj3r17ExAQwJIlS2xxeiGEKJDULIulZmanrZbEaxTgS8viD35MBYTmskKSLSr4zM1ElxnqjssmQaGrqyulS5fm/Pnztji9EEIUSGpKjagZq2fPckj1/HyMAkCZfVw4yNKezscmJWkSEhKIjIzE3d3dFqcXQogCy1alRuzZrSsBoP1IF79QQ1VQmJycbHafoiikpaVx6dIlPv/8c5KSkmjZsmWeGyiEEEII9exZikg4J1VBYcOGDS06TlEUXF1dGTRoUK4aJYQQQoi8sXf3rcxQdz6qxhQqimLRT2hoKHPmzOHxxx+3VbuFEEII4cBkaU/noypTuG3btpxP5uZGsWLF8PLyylOjhBBCCHuQJfmsS5b2dC6qgsLt27dTpUoVmjZtaqv2CCGEsIB0zVlfQVuST94jQi1V3ccLFizgrbfeIj4+3lbtEUIIYQHpmrO+grYkn7xHhFqqMoVxcXFUrVqVYsWK2ao9QgghLGSLP+626D4t7GVRvNf/aLB+tbnak7ZQmK6zyDtVmcIaNWpw+fJl7t27Z6v2CCGEsBM1q6RYKqeyKIWBLiDUgP7HPeoS3ut/tHPLhDCmKiicMmUKRYsWpVevXqxatYoLFy4QGxtLcnKy2R8hhBDOwRbdp/Yui6KGLZbk0wWE2ekCQyEcjaru4//9739oNBouX77Mhx9++MjjNRoNZ86cyXXjhBBCiPxSz89HZh+LQk1VUHjhwgVVJ1cUB/wqKIQQQpiRlqnk+LsQBZlV6xQKIYQQ2TlTWRRbLAuXXraSURey8t92IRyNqqCwbNmytmpHjtauXcv48eNZtmyZyVVSLl26xNy5czly5AixsbFUqFCBnj178sorr+DiYjxsMj4+nq+//pqtW7dy48YNgoKCaNeuHcOGDcPXV2ZqCSGEtTQK8HWa2ce2GP+Y1Km/XWcfC6GGqqDwYXfu3CEyMpL79+/Tpk0bMjMzSUpKsmpgdfToUSZPnmx2/7lz5+jduzcJCQk0bNiQOnXqcODAASZPnsyxY8f47LPPDI5PSEigT58+hIeHU6lSJVq3bs3p06dZuHAhu3btYvny5RQtWtRq7RdCiMLOEQPA/CQBoHAWqmYf62zbto0uXbrQsmVL+vbty9ChQwG4du0aTz75JNOnTycjIyPPjduyZQuvv/46SUlJJvcrisKYMWNISEhgxowZ/Pzzz8ybN4/NmzcTGhrKhg0b2Lx5s8FjZs+eTXh4OD169GDjxo3MmTOHzZs306lTJyIiIpg9e3ae2y2EEEII4WxUB4Xz5s1j2LBh+lnFrq6u+gklUVFRJCUlsWjRIt588020Wm2uGnXz5k3GjBnD8OHDyczMJCgoyORxe/bsITw8nMaNG9OpUyf99uLFi/PRRx8BsGTJEv32+Ph4Vq1aha+vL2PHjtV3Lbu5ufHRRx/h5+fH6tWrzQahQghRkJkb5+eI4/9sobC/fiFUBYX79u1j3rx5+Pj4MHHiRA4cOEDdunX1+5s0acK0adPw9vZm7969/Pzzz7lq1OzZs1m/fj21a9dmxYoVVK5c2eRxu3btAqBt27ZG+8LCwggMDOTIkSMkJGQVST106BApKSk0bdrUqIvbx8eHZs2akZKSwqFDh3LVbiGEcGaFfVm0wv76hVA1pvDHH39Eo9Ewc+ZM2rRpY7TfxcWFzp07ExQUxMCBA/n111/p06eP6kZVrlyZ6dOn8+KLL5qcKKITEREBQEhIiMn9lSpVIiYmhosXL1KvXj398dWqVTP7vADh4eG0atVKdbuFEMLZFfYAqLC/flG4qQoKjx07RqlSpUwGhNm1aNGCMmXK6IMwtQYNGmTRcbdv3wYgODjY5H7d9jt37gAQHR1t0fExMTGWN1YIIYQQogBQFRQmJiZSpkwZi44tXry4PhizFd0yekWKFDG5X7ddN0ZQ918vLy+LjhdCCFG4yIomojBTFRSWKFGCS5cukZGRgZub+YempaVx6dIlsxk5a9F1LWs0pkcB6ybA6P6r9nhLBQY6VndDcLCU1HEGcp+cg9wnx2ete7Tz8h2jdZ7jtQpnk1J58jHTEx6F5eSz5PhUBYXNmzdn1apVLFiwgGHDhpk9bv78+SQmJvL888/nuYE58fb2BiAlJcXk/tTUVIPjLD3eXCbRnJiYBDItXApJURQSE++TlpZMenoaipKp6rkexcXFhcxM655TWF9huk8uLq54enrh41MMNzd3ezdHleDgokRH37d3M0QOrHmP7qSkm90u74O8kc+SY3Bx0eSYyFIVFA4aNIgNGzYwf/58oqKi6NChgz7Aio+PJyIiguXLl7NhwwY8PT157bXX8tb6RyhRogRnz57lzp07VKlSxWj/w2MIS5QoAWC2W/tRYw7zKjNTy927t3F1dcXbuygeHp5oNC5mM5e54ebmQkZG4Qg2nFlhuU+KoqDVaklJSeTu3VsUL17S6QJDIYQoLFQFheXKlWPOnDmMHDmSX375hXXr1un3NWnSBMj6I+Dp6cn06dOpVMm2aztWq1aNHTt2EBERoX9+HUVR+Pfff3F1ddUHjLpZx+YmwFy8eBGA0NBQm7Q3MfE+7u4eFCtW3KqBoBCOSqPR4Obmhq+vHwCJifH4+QXauVVCCCFMUV28umXLlqxfv55evXpRqlQpFEXR/wQEBPDSSy+xdu1annvuOVu016gtkLXCysP++ecf7t69S1hYmL4mYaNGjShSpAj79u0zmkySmJjIvn378Pb2JiwszCbtTU5OwMenqASEolAqUsSH1NRkezdDCLOKuZr+t9ncdiEKmlwtc1e2bFk++ugj/v77b44cOcKOHTs4dOgQe/fuZerUqSa7cm2hcePGVKtWjT179rBy5Ur99rt37zJp0iQABgwYoN/u7e1N586diYuLY9KkSfql+DIyMvj444+Jj4+nZ8+eVl27ObvMTC2urtJ1JgonV1dXMjNzt8qREPkhzczYcHPbhShoVHUfm+Lj44OPj32m67u4uDBlyhT69+/PBx98wOrVqylRogQHDx4kLi6OHj168NRTTxk8ZuTIkRw4cIB169Zx5MgRatasyZkzZ7h69So1a9Zk+PDhNm2zZAlFYSXvfWFN3ut/xD3qEumAH5BethJJnfrn6ZwpZmI/c9stdehegsE5ZJUU4agszhTeuHHDZKmWCxcuMHXqVAYPHsy4cePYsGFDrtc8zo26deuyatUqnn32WS5fvsyePXsoU6YMkyZNYuLEiUbH+/v7s3z5cvr27UtGRgZ///03Li4uDBw4kMWLF9stwBVCCGEZXUCo+5qhAdyjLuG9/kd7NsukhwNCyAoyD91LsE+DhMiBRnlEUb5ly5axYMECYmJi2LZtG6VLl9bvW7FiBR9//DGZmZn6gFGj0VCzZk0WLFhg8zqFjsLSkjQ3b16mVKnHbNqWwjKr1dkV1vuUH58Ba7JHGQ3JKj2a35cTMZV3VoC4IRNzfd5dd80Hai2L5+4e2OKczkhK0jiGR5WkyTFTOGPGDD755BOio6PJzMwkLi5Ov+/MmTNMmjQJrVZLkSJF6NevH++88w61atXi9OnTDBs2THURaCGEKMwkq2RfRcyMcDC3XYiCxuyYwtOnT7Nw4UI0Gg1DhgyhR48elCxZUr//s88+IzMzE41Gw4IFC/QlYQYOHMhbb73Fzp07+e233+jYsaPtX4UoMP755zAjRgw22u7q6oqnZxFKlChJWNjjdOnSg8ceq2hwzKefTuSPP37jgw8+5tlnbVs4XQhbsNWYNmGZRgG+kqkVhZrZoHDNmjUAvPPOOwwcONBgX3R0NPv370ej0fDkk08a1Ah0cXFhzJgx7Nixg99//12CQpErXl5etGzZWv+7VptBQkIiERHnWbNmJRs2rOPddyfQvv0L9mukEMIu0stWMhhTCFldx+ll814b19oBYBGN6aBeso/CEZkNCg8cOICnpyf9+vUz2rd79259ltBUPcIqVapQunRpzp07Z93WikLDz8+fDz+cbLRdURTWr1/DrFkzmTZt8n+Zw0YAvPnmMPr0eZWgIFmjVIiCLKlTf4PJJrqAMK+zj21Bso/CmZgNCm/fvk3p0qXx8PAw2nfgwAH9/z/xxBMmHx8cHCxBobA6jUZD587dSExM5Kuv5jJv3ix++GEZGo2GoKAgCQiFU5OskuV0AaAzTGCQAFA4C7NBYVpaGsWKFTO57+DBgwBUqFDBYJxhdgkJCXh5eVmhiUIY69mzN6tXr+DChfOcPn2S2rXrmh1TuGnT72zYsI7Lly+RnJxMqVKlad78SXr37oefn7/BeTMyMli/fi0bN27g8uVLuLi4EhISSvfuL9Oq1VM8LD4+jhUrfmLv3l1ERUWRnp6Gv38ADRuG0b//61SoUNHg+FOnTrB06SIuXDjP3bsxBAQUp0GDMPr0eZVKlSobnX///r2sWLGMs2fPkJaWRvny5Xn22Q507/4y7u5SCL2gkaySEMKezM4+DgwM5Pbt20bbL126xPXr19FoNGazhAkJCVy5coXAQFnjVNiGm5sbTZo0A+Dw4YNmj1u1ajmffPIRFy6cp3r1mjRp8gSJiYn89NNihgwZSGpqqv7YjIwMxo59h1mzZnD9ehT16jWkdu26nDlzmvfeG8PXX883OPfduzG8/no/fvzxe5KTk3n88cY0aPA4qampbN78B4MGvcqtWzf1x586dZK3336LvXt3U6ZMGZo3fxIfHx82b97IoEGv8u+/hmtyL1r0HaNHj+DYsX+oXLkKTZs+QUxMDF9++QWjRg0nLS3NGpdSOJhGAb60LP7gRwJCIUR+MZsprF+/Pn/88Qfnzp2jevXq+u0bNmzQ///TTz9t8rHr1q0jIyODBg0aWLGpQhjSZeGuXr1scn9aWhpffz0PPz8/Fi9eQWBgkH77yJFDOX78KNu2beH557MmQy1c+C0HDuylUaMmTJo0hWLF/AC4ceM6//vfEJYsWUiDBmE0btz0v+O/48aNKHr2fIVhw0bqV+xISkpk1KgRnDx5nE2bfqd//9cB+PbbL0lNTWXWrPk0a9ZMX6fwyy/n8NNPi/n556W8995EAA4dOsB33y2gZMlSzJz5BZUrZy0dmZyczKRJ77F7904WLvyWN98cauWrKoQQorAymyns1KkTiqIwatQoLly4AMD+/fv58ccf0Wg0lClTxmSm8NSpU3zxxRdoNBratWtnu5YLi7ifP0HRxbPw+3IiRRfPwv38CXs3yWqKFi0KQGxsnMn9iYkJpKSk4OlZxKCb2MPDg7ffHsWYMe9Rq1YdICtQXLNmBR4ennzwwcf6gBCgdOkyvP32aACWL1+q3+7v70+TJk/w2muDDJZw8/b2oW3bZwEMMoUxMXcAjIZc9OnTn//9bzQdOryo3/bzz1nPM3Lku/qAELJmZY8d+wGenp6sXbtSsoVCCCGsxmymsFWrVrRv354//viDF198EQ8PD9LS0lAUBRcXFz7++GNcXB7ElJs3b9aXoUlNTaV58+a0atUqX16EMM39/Am8t29Ak5EOgGtCHN7bN5AEpIfUtW/jrCA9Pet1mVtSNyCgOI89VpHLlyN5441+PPNMe5o1a06lSpUJCalOSMiDDPj58+dISEggJKQ6xYsbD3sIC2uEq6srJ04cQ6vV4urqyuuvv2l03L1797h48QInThwFsrqkderVa0Bk5CWGDx9Mhw4dadKkObVq1aZYMT+6dXtZf5xWq+X48X8AaNjwcROvK4CQkOqcPHmc8+fDqV27jgVXSwghhMiZ2aAQsgpUly1blmXLlpGcnAxkZTk++OADmjdvbnDszJkziYqKQlEU6tevz6xZs2zXamGRIvu36QNCHU1GOkX2bysQQWF8fFaGMHtW72ETJ05hwoR3uXDhPBcunOfLL7+gZMlStGzZmi5duum7oG/dugVkBYctWhgHYjparZb4+HgCAgIAiIq6xpo1Kzh58jhXrlwmMTERQJ85zL6qz1tvjeDatascOXKIxYsXsnjxQnx9fWnatDkvvNCJxx9vrH9durGO7drl/MXq9u1bgASFouA4HpdIvPbB56aYq4Z6frImvRD5Iceg0NXVldGjRzN06FAiIyNxc3OjcuXKuLq6Gh1br149qlatyvPPP0+HDh1MHiPyl0uC6W5Vc9udTUTEeQCqVKlq9phq1UL4+ec17N+/lz17dnHkyEGuX49i9erlrFu3msmTp9GyZWsyM7UAlC5dljp1cg6YdQHfli2b+PTTj9BqtZQrV4GmTZ+gYsXKVK9ek9u3bzFz5hSDx/n6+vLFF19x+vQpdu/ezsGDB7hwIZytWzezdetmXnmlL0OGvI1WmzXWsEiRIjz5ZJsc2yKTuURB8nBACBCvVTgelyiBoRD5IMegUMfLy4saNWrkeMz//d//WaVBwnoyff1wNREAZvqaz6w5i9TUFI4cOQxAWFjjHI91c3OjRYsnadHiSQCuXbvK4sU/sHHjBr76ai4tW7bWT0IpU6asyaLZD0tKSuKzz6bi4uLCtGmf06yZYeZ89erlZh9bq1Zt6tWry5tvZhIbG8sff/zGggVzWb58Gd2798LfPwA3Nze0Wi3vvTdRvmCJQuPhgPBR24UQ1mV2oolwfilNn0ZxM6xlp7i5k9LU9KxxZ7JmzUru348nJCSU6tVNf2E5fvwovXt3M8rYlStXnpEjxwAPJoLUqFELT09Pzp07zb1794zOdfFiBD17dua9995FURQiI/8lKSmRkJDqRgEhwMGDWQXeMzOzsn6JiQkMHNiP/v17GRzn7+9Pr159qFYtlMzMTKKjb+Pu7k6tWnVIT0/nyJFDRudOS0vjtdf6MGTIQG7cuP6oSyWEEEJYRILCAiw9pC5JrTui9fVDAbS+fiS17ujU4wkzMzP57bf1fPvtV7i6uvL22++aPbZSpSpERV1j06bfOXXqpMG+rVs3A1nBIGRlwzt27ExiYiKffPIRcXGx+mPj4mKZMmUSUVHXKFmyFBqNhhIlSgHw778XiYq6pj9Wq9Xy44/fs3fvLgD97GAfH18UReHixQusWmWYRYyIuMClSxfx8vKmYsWstVt79MgKHmfOnGpQvzAjI4NZs2Zy/vw5kpOTKF26jOUXTwghhMiBRd3Hwnmlh9R1yiAwLi6Wjz/+QP+7Vqvl/v37RERkrQTi4eHB++9Pol69+mbPUaxYMYYO/R9ffPEZQ4a8Tq1adQgMDOL69SjOnz+Hl5cXw4b9T3/84MHDCQ8/x4EDe+nZszM1atTCzc2N48ePkZSUSK1adXjjjSEABAUF8fTTz7Bt25/07/8yDRqE4ebmxpkzp4mJuUPFipWJjPyXu3dj9OcfNWosw4a9yRdffMaGDb9QocJjxMfHc/z4UbRaLaNGjcPbO2vcVKtWT9GjRy9WrvyZ117rQ/XqNSlePJBz585w+/Yt/P0DmDTJMAMqRH6z9qSQYq4ak13FxVxlnT8h8oMEhcIhJScns2XLH/rfXVxc8PLyokyZsrRr156uXXtYlCXr3v1lAgICWLduDRER5zl79jQBAcVp3/4F+vV7jfLlK+iPLVKkCF988RW//LKKzZv/4OTJ47i6ulKuXDmeeaY9L73UjSJFiuiPHz/+IypUqMi2bVs4cuQwRYsWpUyZMvTr9xovvvgSL774LKdOnSA2NhZ/f39q1qzN/PnfsHTpIk6ePMHly5H4+vrSqFETevbsTaNGTQzaPmLEKOrXD2Pt2pWcO3eW8+fDKVWqFN269aR37/4EB5ewwpUWIndsMSmknp+PzD4Wwo40SvaaGSJXYmISyMx89GW8efMypUo9ZtO2uLm56FfKEI6rsN6n/PgMWFNwcFGio+/buxkOadfdBLP7WhbPv6X55B45B7lPjsHFRUNgoPnPp4wpFEIIIYQQEhQKIYQQQggJCoUQQuSCuckfMilECOclQaEQQgjV6vn5GAWAMilECOcms4+FEELkigSAQhQskikUQgghhBASFAohhBBCCAkKhRBCCCEEEhQKIYQQQggkKBRCCCGEEEhQKIQQQgghkKBQCCGEEEIgQaEQQgghhECCQiGEEEIIgaxoIhzIxo0bmDJlEl5e3ixevJzSpcuYPbZVqyZotVp27z5s9XbcuHGd7t1fNNru4uKCp6cngYHB1K1bj86du1KzZm2j477//msWLvyWgQMH8+qrA63ePiGEEMIWJCgUDic5OYnp0z9h9uwv7d0U2rVrr/9/rVZLUlIikZGRbNy4gU2bfmfgwMH06/eaHVsohBBCWIcEhcIhHT58kA0b1tGxY2e7tuPDDyeb3L59+zamTPmYb775kuDgErRv/4J+X9euPWnb9ln8/f3zqZVCCCFE3smYQuFwSpQoCcC8ebO4ffuWnVtjWuvWTzN27PsALFgwl9TUFP0+f39/HnusIn5+/nZqnRBCCKGeZAqFw2ncuClxcXHs2rWdmTOnMHPmFxY/NiUlheXLl/LXX39y7do13N3dqFo1hM6du/LMM89ZtZ1PP/0MK1Ys48yZU+zcuV1/fnNjCvft283KlT/z778R3L9/n6CgYBo3bkbfvq9SsmQpo/Nv2bKJdetWExFxgcxMLZUqVebFF7vwwgud0Gg0Rq977dqVbN/+F1euXCYlJZlixfyoXbsuffr0Nxr7GBl5iYULv+HMmTPcuXObokWLUadOXXr16kvt2nWN2nL69CmWLl3EyZPHSEpKokSJUjz1VFv69OmPt7ePNS6nEEIIO5NMoXBIo0ePo2jRYuzbt4c//vjNosfExsbyxhv9+O67Bdy9G0OTJs2oVasOZ8+eZtKk95kyZZLV2/nEEy0AOHLkUI7H7djxN2PHvsPx40epVKkKzZu3BGDdutW88UZ/YmLuGBw/bdpkPv74fS5cCKdGjZqEhTXiypXLTJ/+CZMnf4iiKPpjU1NTGDr0Db78cg537kRTr159GjduikajYefOvxk69A3OnTujPz4q6hrDhg1i27Y/CQgIoHnzJylZsiQ7dmQde+jQfoO2bNy4gSFDXmfPnp2ULl2WJ55oQVpaKosX/8Bbb71OfHxcnq6hEEIIxyCZQuGQAgODGDHiHT79dCJz5nxO48ZNCQwMyvExM2Z8yqVL//Lkk2344IOP8fLyAuDatau8884wNm7cQM2atejcuZvV2vnYYxUBuHLlco7HzZ8/G41Gw8KFP/HYYxVxc3MhNTWdjz/+gG3btrBu3Rpef/1NAH77bR2//baeatVCmDbtc30WMTY2ljFj/seWLX9Qr14DOnXqAsCaNSsJDz9L69ZPM3Hip7i5ZX2s09LS+PjjD9i+fRvr16+levWaACxe/AOxsfcYO/Z9gzGba9eu4vPPp/Pjjz/QqFFTICujOHPmFLy8vJgxYzZ169YHICMjg1mzZrB+/Vo+/3wGEyd+apXrKYQQwn6cOlMYGhpq0c+BAwf0j7lx40aOx/bq1cuOr8j6bqemczA2kV13EzgYm8jt1HR7N8li7du/QLNmzbl/P57PPpuW47E3blxn586/KVbMj/ffn6QPCAHKlSvP+PEfAvDTT0us2kZf36IAxMXF5nhcTMwd3NzcKF48UL/N1dWVQYOGMGrUOJo3f1K/XdfG996bZNCt7O/vz7hxHwCwfPlS/XZPT0+aNWvO4MHD9AEhgIeHB88/3xGAW7duGrQFHozd1HnxxZcYMWIUvXv3029btepn0tPTef31wfqAEMDNzY233x5NcHAJ/vrrT6Kjb+f4+oUQQjg+p84UduzY0ey+q1evcuzYMXx9fSlfvrx++5kzWd1ooaGhhISEGD2uUqVK1m+ondxOTedCYiqZ//2emqlwITEVgBKe7vZrmArvvjuBvn17sGvXdrZt28LTT7czedzx40cBaNbsCby9vY32N2gQRmBgINevR3H79i2jgCi3MjKyguyHx/g9rF69hhw8uI833ujHc891oEWLFlSpEkrZsuV46aUHmcs7d+5w5cplihXzo2rVakbnqVy5CsHBJbh69QoxMXcIDAyia9eedO3a0+C4+/fv8++/F9m/fw8A6ekPvgzUq9eQ/fv38tFH43nuuRdo3rwF9eo1xMPDgx49DL8U/fNPVh3Ihg0fN2qLh4cHDRqEsWXLHxw/fpS2bZ/N8RoIIYRwbE4dFH722WcmtycnJ9O1a1cAZsyYQZkyD4ognz17FoCBAwfy4ovGBYoLksjkNH1AqJP533ZnCQpLlCjJkCFvM3PmFGbNmknDho0ICAgwOu7OnWgASpUyX/C6dOmyxMTEcPdujNWCwvj4eACKFi2W43FjxrzH+PHvcOHCeb77bgHffbeAgIDiNG/ekk6dulCjRi0Abt+++d9542jRwjgQy+727Vv6LvU7d+6wdu1Kjh49zJUrl4mLyxrnpwtWs49B7NWrDxER4Wzb9ierVy9n9erlFClShMcfb0z79i/QqtVTBs8B0L//y49sixBCCOfm1EGhOVOmTOHixYv06NGDp59+2mCfLlNYq1YtezQtX6VmKqq2O6pOnbrw119bOXLkILNnz2DSpKlGx+hinpwydlqtFgB3dw+rte3ChfMAVKlinNXLrlSpUnz//VKOHj3Crl07OHLkIJcu/ctvv63n999/5X//e5euXXuQmZkVxgcEFKdRoyY5nlM36/effw4zZsz/SElJoWTJUtSv35DHHqtEaGgN3NzcGDt2pMHj3NzcmDRpKv37v86OHX9z8OB+zp49ze7dO9m9eydt2rRl8uSs7npde5555rkcr23ZsuXN7hNCCOEcClxQeOLECVatWkVgYCDvvvuu0f6zZ8/i7e1doLqJzfF00ZgMAD1dcu7qdERjx75H//4vs23bnzz9tHE3ZVBQVsbs+vUos+e4ceM6AMWLF7dau/bt2w3A4483euSxLi4uhIU1IiysEW5uLty4cZPVq1ewbNmPLFgwj06duugzf97e3mYLZ2enKArTpk0mJSWFcePe54UXOhvs3717p9nHVq5clcqVqzJgwBskJSWyfftffP75dP7+eyunTp2kdu06BAYGcfPmDd56a7jVsqtCCCEck1NPNDFlypQpKIrC8OHDKVbMsEsvNjaW69evU6lSJRYuXMiLL75IvXr1aNGiBR988AG3bhWsLrCKXh5GN9jlv+3OpkyZsrz55lAA/u//php0hwLUq9cAjUbD/v17SUpKMnr8P/8cJjb2HhUrViIgwDpB4V9/beXy5UgCA4N44omWZo+7evUK/fu/zLvvvm2wPTi4BG+9NRx/f3+Sk5O4fz+e0qXLUKJESW7cuE5k5CWjc927d5dXXunK228PISkpidjYe1y/HkVgYKBRQAjoy8vorpeiKLz99hA6d25Pamqq/jhvbx+ef74jTZs2Bx5MTKlXrwEA+/btMfna3nlnGG++OYAzZ06Zff1CCCGcQ4EKCnfs2MHRo0cpVaoU3boZlx3RjSc8ffo0s2bNIjAwkCZNmqDValm5ciVdu3bl33//ze9m20wJT3eq+XjqM4OeLhqq+Xg6zXjCh3Xt2pO6desTExOj79bUKVOmLC1atCI+Po5PPvmI5ORk/b6oqGtMm5aVdevSpYdV2rJ79w5mzPgEgOHDR+LhYT7QLlOmLPfu3ePAgX3s3LndYN+hQ/uJjY2lVKnS+mC1R49eZGZmMnnyh9y8+WDWcEpKClOmTOLKlct4e3vj7e1NsWJ+eHp6cvfuXU6ffhCYKYrC77//yrp1awBIS8sKADUaDUWL+nLnTjTffbfA4Drevn2LEyeO4eLiQvXqNQDo3v1lXFxc+Prr+frJPLrzL1z4LQcP7ufGjetUrWo8aUsIIYRzKVDdx4sWLQJgwIABuLsbBz668YTVqlXjq6++0s9KTkpK4oMPPuC3335j9OjRrF27Nt/abGslPN2dNgh8mEajYfz4D3n11V4GWS6dMWMmcPXqFXbu/Jvu3TtSt24DUlJSOHbsCGlpabRv/4LBTF9LfPzxB/r/z8zMJCkpkYsXI7h16yYuLi4MGfL2I2fdurq6Mnr0eN57710mTBhN9eo1KVOmDNHR0Zw6dQJXV1dGjhyjP75Hj1c4deoE27f/RZ8+3ahevSa+vr6cOnWS2Nh7lCtXnnffHa8/d7duL7Ns2Y8MHTqQBg3C8PLy5sKF89y4EUXFipW4fDmSmJgY/fmHDHmbo0eP8PPPS9ix4y+qVg0hJSWZEyeOkZKSQu/e/SlbthwA1avXZNiw/zF37iyGDRtESEh1SpUqxcWLF7l27Qqenp5Mnjw9x6BYCCGEc9AoD/fDOamIiAg6dOhA0aJF2blzp8myJFqtluvXr+Pj42M0riw5OZlnn32WW7dusWLFCurXr2/1Np4+fYYyZR6z+nkLit9++5VPPplIx46dee+9D80et2zZYubOnQ3A/v3/GOxLTEzk55+Xsm3bn1y/HoWnZxFCQkLp0qUbTz3V1qJ2XL9+nS5dXjDartFoKFKkCKVKlaZ+/YZ07drdZNmYb79dwPfff8OgQUN47bUHy9wdOLCPn39expkzp0lMTMTPz4/69RvQr9+r+sLSOpmZmWzcuIH169dx8WIEipJJmTJlefLJ1vTq1cdgaERGRgZr1qzk11/XERV1DS8vL0qVKq0/duDA/kREXGDJkuVUq5aV0bty5TILF37HkSOHiYmJwcurCCEh1enSpRtt2xqX/fnnnyP8/PNSTp48/t8ydyWoW7cBr776GhUqWP6evn79MrVq1Xz0gUIIIfJdgQkK58yZw/z58+nSpQtTpxrPTrXEmDFjWL9+PR9++CG9e/e2+HExMQlkWjCj9+bNy5QqZdug0M3NhYyMhwvRCEdTWO9TfnwGrCk4uCjR0fft3QyRA7lHzkHuk2NwcdEQGOhrfn8+tsWm/vzzTwCef/75XJ9DN4M1+3g0IYQQQojCoEAEhTdu3OD8+fMULVqUZs2amT1u3rx5jBgxgvDwcJP7r127BmTVlBNCCCGEKEwKxEST48ePA1C3bl2DtV8fFh4ezpYtW6hcuTKhoaEG+2JiYtizZw/u7u40aZJz0WAhhBBCiIKmQGQKT53KKsVRp06dHI/r2TNrfdiFCxdy5MgR/fbExEQmTJhAQkIC3bp1Izg42HaNFUIIIYRwQAUiU6jr9tWVmDGnRYsWDBgwgIULF9KnTx8aNmxIQEAAhw8f5t69ezz++OOMHTs2P5oshBBC2NyhewmkZJsHWUQDjQLMTzQQhVuBCArv3r0LWDYWcNy4cdSrV4+lS5dy5swZMjMzqVChAgMHDqR///4m6xsKIYQQzubhgBAgRcnaLoGhMKVABIWLFy9WdXz79u1p3769jVojhBBC2N/DAeGjtgtRIMYUOpMCUhZSCNXkvS+EEI5NgsJ85OLiilabbu9mCGEXWq0WFxdXezdDCCGEGRIU5iMvL18SE+9LxkQUSikpiXh6etm7GUIUGkU06rYLIUFhPvLxKUp6ehqxsdGkpCSRmamVAFEUaIqikJGRQUJCHElJ9/HxKfboBwkhrKJRgK9RACizj0VOCsREE2fh4uJKYGApkpLuk5R0n7i4GBTFuuvfuri4kJlZ+NbUdTaF6T65uLji6elF8eIlcXOT2f1C5CcJAIUaEhTmM41Gg49PMZtlTGTRcecg90kIIYSjke5jIYQQQgghQaEQQgghhJCgUAghhBBCIEGhEEIIIYRAgkIhhBBCCIEEhUIIIYQQAgkKhRBCCCEEEhQKIYQQQgikeLVVuLg41kKSjtYeYZrcJ+cg98nxyT1yDnKf7O9R90CjyOK7QgghhBCFnnQfCyGEEEIICQqFEEIIIYQEhUIIIYQQAgkKhRBCCCEEEhQKIYQQQggkKBRCCCGEEEhQKIQQQgghkKBQCCGEEEIgQaEQQgghhECWuXMqWq2WZcuWsXr1ai5duoSXlxe1a9emX79+tG7d2uj4S5cuMXfuXI4cOUJsbCwVKlSgZ8+evPLKK7i4yPeB/BAbG8sLL7xAdHQ04eHhRvvlHtnHunXrGDt2rNn9gwcPZuTIkfrf5T7ZT1RUFPPnz2f37t3cvXuXgIAAWrduzYgRIwgODjY4Vu5T/goNDbXouMWLF9OkSRP973KfHJcsc+dExowZw/r16/H19SUsLIz09HQOHTpEeno6I0aMYOjQofpjz507R+/evUlISKBhw4YEBgZy4MAB4uPj6dixI5999pkdX0nhMXLkSDZu3AhgFBTKPbKfqVOnsmjRIpo3b07x4sWN9rdt25bnnnsOkPtkTydPnmTAgAHcv3+fkJAQKlSowKlTp7h58yYVKlRg9erV+Pn5AXKf7GH06NFm9129epVjx47h6+vLhg0bKFOmDCD3yeEpwin8/vvvSkhIiPLss88q0dHR+u3nz59XwsLClOrVqyuXLl1SFEVRMjMzlY4dOyohISHKunXr9MfGxMTot2/atCm/X0Khs2HDBiUkJET/k53cI/vq06ePEhISoty8eTPH4+Q+2U9qaqrSrl07JSQkRFm8eLF+e0pKijJ8+HAlJCREmTx5sqIocp8cTVJSktK+fXslJCRE2bp1q3673CfHJ3laJ/Hrr78CWd/MgoKC9NurVatGx44dyczMZM+ePQDs2bOH8PBwGjduTKdOnfTHFi9enI8++giAJUuW5GPrC59bt24xefJkGjRogKurq9F+uUf2de7cOYKCgihZsmSOx8l9sp+NGzcSGRlJx44d6du3r367p6cn48ePJygoiEuXLgFynxzNlClTuHjxIj169ODpp5/Wb5f75PhkTKGTmDNnDpGRkVSsWNFoX2JiIoA++Ni1axeQ1QX2sLCwMAIDAzly5AgJCQn4+vrartGF2HvvvUdqairTp0+nffv2RvvlHtnP1atXiY+Pp1WrVo88Vu6T/WzZsgWAAQMGGO0rXbq0/kswyH1yJCdOnGDVqlUEBgby7rvvGuyT++T4JFPoJDw8PAgJCcHDw8Ng+99//82mTZvw9vbWf9AiIiIACAkJMXmuSpUqkZmZycWLF23b6ELqp59+YteuXYwePZrHHnvM5DFyj+zn7NmzAAQGBjJ58mSeeeYZ6tSpw7PPPsv8+fNJTU3VHyv3yX7OnDmDu7s71atX58aNG3zzzTe8//77fPbZZ5w4ccLgWLlPjmPKlCkoisLw4cMpVqyYwT65T45PMoVOKCUlhTFjxhAREcHFixcpU6YMM2bM0Hcr3759G8BoZp6ObvudO3fyp8GFyJUrV5g5cyZNmzald+/eZo+Te2Q/Z86cAWDt2rX4+fkRFhZGyZIlOXXqFHPmzGHXrl0sWrSIIkWKyH2yk7S0NG7cuEGpUqXYtGkT7733HsnJyfr93377La+//jpjxowB5PPkKHbs2MHRo0cpVaoU3bp1M9ov98nxSabQCV2/fp3NmzcbfJvKPrNV949nkSJFTD5etz0pKcmGrSx8tFotY8aMQaPRMHXqVDQajdlj5R7Zjy5T2L59e7Zv385XX33F0qVL+e2336hevTpHjx5l9uzZgNwne0lISAAgLi6OsWPH0rZtWzZt2sShQ4eYNWsW/v7+fP/996xYsQKQ++QoFi1aBGR1+bu7uxvtl/vk+CQodEKlSpVi//79HDx4kNmzZ5Oens7kyZP55ptvAPR1nswFJcp/VYgUqUZkVd999x1Hjx5l/Pjx+vIL5sg9sp85c+bw+++/M2PGDLy9vfXby5Urx7Rp09BoNKxYsYL09HS5T3ai68JPTk6mSZMmfPbZZ1SqVIlixYrx/PPPM336dADmz5+PoihynxxAREQEe/fupWjRovTo0cPkMXKfHJ8EhU7I29ubgIAA/Pz8aN++PfPmzUOj0fD111+Tmpqq/0OXkpJi8vG6f3Cz/0EUeXPu3Dnmzp1Lq1at6N69+yOPl3tkP56enlStWtVofC5AjRo1KFWqFElJSURGRsp9shMvLy/9//fq1ctof+vWrSlZsiS3bt3i8uXLcp8cgK4e6zPPPGP2Ost9cnwSFBYA9evXp0KFCiQkJHD16lVKlCgBmB+XER0dDZgf1yHUmzVrFunp6WRkZDB69GiDn8zMTAD973fv3pV75MB0Y3OTk5PlPtlJ0aJF9d2P5cqVM3mMLht/7949uU8O4M8//wTg+eefN3uM3CfHJ0GhE1AUhRkzZjBy5EgyMjJMHqPLemRkZFCtWjXgwUyvh8/177//4urqSpUqVWzX6EJGNwZmz549bNiwweBH1xWi+z0pKUnukZ0kJCTwwQcfMGLECLOfpWvXrgFQsmRJuU92kv2a3rp1y+QxusCiePHicp/s7MaNG5w/f56iRYvSrFkzs8fJfXJ8EhQ6AY1Gw7Zt29i4caNBbS6dq1evcunSJby9valUqRItW7YEYNu2bUbH/vPPP9y9e5ewsDCpA2VFS5YsITw83OSPrn6k7vdy5crJPbITHx8f/vzzTzZv3syhQ4eM9u/cuZN79+4REhJCyZIl5T7Z0ZNPPgnApk2bjPb9+++/REVFUaJECcqXLy/3yc6OHz8OQN26dXFzM1/URO6T45Og0EnoBu5+8skn3Lx5U7/91q1bvPPOO2RkZPDKK6/g6elJ48aNqVatGnv27GHlypX6Y+/evcukSZMA0wVhRf6Re2QfGo1G/1maPHmyQRbqypUr+mv/1ltvAXKf7Onll1/G29ubdevWsWHDBv32uLg43n//fTIzM+nduzcuLi5yn+zs1KlTANSpUyfH4+Q+OT6NItN8nEJ6ejpDhw5lx44deHt707BhQ7RaLcePHycpKYlWrVoxb948fTfyiRMn6N+/P0lJSdSrV48SJUpw8OBB4uLi6NGjB5MnT7bzKyo8atasiVarNSgbBHKP7CUlJYXXXnuNI0eO4O3tTVhYGAAHDhwgLS2NAQMGMG7cOP3xcp/sZ+PGjbz77rtkZGRQq1YtSpQowbFjx7h37x5Nmzblu+++0489lPtkP//73//4448/+PTTT03WJ8xO7pNjk6DQiWi1Wn766SfWrl3LxYsXcXFxISQkhC5dutCjRw/9dH+diIgI5syZo/9j99hjj/Hyyy/TvXt3k+vxCtswFxSC3CN7SUtLY9GiRWzYsIHIyEg8PDyoWbMmffv2pV27dkbHy32yn7Nnz/LVV19x8OBBkpKSKF++PJ06dTJZC0/uk33069ePAwcO8P3339OiRYtHHi/3yXFJUCiEEEIIIWRMoRBCCCGEkKBQCCGEEEIgQaEQQgghhECCQiGEEEIIgQSFQgghhBACCQqFEEIIIQQSFAohhBBCCCQoFEIImxo/fjyhoaGEhoZy4sQJezdHCCHMkqBQCCFsJDk5mc2bN+t/X716tR1bI4QQOZOgUAghbOTPP/8kMTFRv/TXb7/9RlJSkp1bJYQQpklQKIQQNrJ+/XoAnnvuOWrUqEFiYiJ//PGHnVslhBCmSVAohBA2cPv2bfbt2wdA8+bNeeaZZwBYtWqVPZslhBBmSVAohBA2sGHDBrRaLdWrV6dMmTI899xzABw9epSLFy+afdy+ffsYOHAgTzzxBA0aNKBXr15s27aNAwcOEBoaSt++fY0ek5aWxqJFi+jatSsNGjSgfv36vPTSS3z//fekpqba7DUKIQoWCQqFEMIGdF3H7du3B6BKlSpUr14dMJ8t/OGHH3j11VfZtWsXrq6uVKpUidOnTzNkyBB+/PFHk4+JjY2ld+/eTJ06lTNnzhAcHEyFChUIDw9nxowZ9OrVi3v37tngFQohChoJCoUQwsrOnj1LeHg4AB06dNBv1/3/unXrSEtLM3jMiRMnmDFjBi4uLkycOJGdO3eydu1aduzYQatWrdi2bZvJ5xo3bhwnTpygQYMGbN68mS1btvDrr7+ybds2Hn/8cU6fPs17771no1cqhChIJCgUQggrW7duHQD16tWjfPny+u0dOnRAo9Fw7949oyDvq6++QlEU+vXrR69evdBoNAAEBATwxRdfUKZMGaPnOXnyJH///Tf+/v58+eWXVKhQQb+vdOnSzJkzBx8fH7Zt28a5c+ds8EqFEAWJBIVCCGFFWq2W33//HYDnn3/eYF/ZsmWpX78+YFizMDU1lb179wLQo0cPo3N6eXnRuXNno+26wPKJJ56gePHiRvsDAwNp2rQpADt37lT/YoQQhYqbvRsghBAFye7du4mOjsbFxUU/njC7F154gaNHj7J3716ioqIoW7YsUVFRpKSk4O7uTuXKlU2et2bNmkbbdBNWDh8+TK9evUw+7tq1awBcunQpty9JCFFISFAohBBWpJtgkpmZyZNPPmn2uMzMTNasWcOIESOIjY0FsjKCum7jh/n4+BhtS0hIALLK39y+fTvHdt2/f9+S5gshCjEJCoUQwkoSEhL0XbrFixfH3d3d7HGJiYmsXbuWYcOG4e3tDWQti5eZmYmLi/HInsTERKNtXl5eAIwdO5bXXnvNWi9DCFFISVAohBBWsmnTJlJSUvDw8GDTpk34+fmZPG7r1q0MHTqUGzdusGvXLpo0aYK7uzvp6elcunSJKlWqGD3m/PnzRtsee+wxgBzrHp45cwaNRkP58uXx9fXN5SsTQhQGMtFECCGsRNd13KZNG7MBIUDr1q0JDg4GsiacFClShGbNmgGwZs0ao+PT09P59ddfTZ4HYMuWLdy9e9do//3793n11Vfp3LmzLK8nhHgkCQqFEMIKoqKiOHToEAAvvfRSjse6ubnpj/n777+JiYnhrbfeQqPR8OOPPxrMTE5ISGDs2LFERkYanadJkyY0atSI+Ph43nzzTS5fvqzfd+vWLYYMGUJcXBzBwcF07NjRCq9SCFGQaRRFUezdCCGEcHZffvklX3zxBYGBgezcuRM3t5xH51y5coV27dqhKArvvvsuAwcO5Ouvv+bzzz8HoGTJkgT/f3t3yKo6GMdx/OcRQcRgOa7JEIuzD8RgtFjHmggGX4HvYG3FZlkwCAaT0e4rGAiCuCAMWbAITsRy0z2HCwfuDeegV76fuMHDs/bl/4zt/V1RFOl6vcqyLG02GzWbTU2n0491kiTRYDDQbrdTJpNRrVbT29uboijS/X5XsVjUbDZTvV7/yccH8AKYFALAN/h9vNvtdv8ahJJUqVRk27akz28WDodDTSYT2baty+Wi/X4vy7IUBIE6nY4kKZ/P/7GOYRhaLBYajUZqNBqK41hRFKlcLst1XS2XS4IQwD9hUggA/wHf9xUEgRzHked5j94OgBfEpBAAnkC/35fjOArD8Mv76/Vakpj6AfgxRCEAPIFqtaowDOX7vk6n08f1NE3leZ62261KpdKXf0kBgO/A8TEAPIEkSeS6ro7Ho3K5nEzTVDab1eFwUJqmKhQKGo/Harfbj94qgBdFFALAkzifz5rP51qtVorjWLfbTYZhqNVqqdfryTTNR28RwAsjCgEAAMA7hQAAACAKAQAAIKIQAAAAIgoBAAAgohAAAAAiCgEAACDpF5jwh3er2InRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 6))\n",
    "plt.scatter(data.age[data.target == 1],\n",
    "           data.thalach[data.target == 1],\n",
    "           c = 'salmon')\n",
    "plt.scatter(data.age[data.target == 0],\n",
    "           data.thalach[data.target == 0],\n",
    "           c = 'lightblue')\n",
    "plt.title(\"Serum Cholestroral vs Age\")\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Serum Cholestroral\")\n",
    "plt.legend([\"Disease\", \"No Disease\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "23a71d9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='age', ylabel='thalach'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.kdeplot(x = 'age', y = 'thalach', data = data, color = 'darkcyan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "57a594a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    526\n",
       "0    499\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['target'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6b7a9025",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='target', ylabel='count'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='target', data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3a987f3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    713\n",
       "0    312\n",
       "Name: sex, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['sex'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3147eca1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='sex', data=data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c64560e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    526\n",
       "0    499\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.target.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "de51d2be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='count'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.countplot(data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d7bded4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='count'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=data['target'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "34f25eb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = data.drop('target',axis=1)\n",
    "y = data['target']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d52690c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1025, 13)\n",
      "(1025,)\n"
     ]
    }
   ],
   "source": [
    "print(x.shape)\n",
    "print(y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0e203722",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(820, 13)\n",
      "(205, 13)\n",
      "(820,)\n",
      "(205,)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(x,y, test_size=0.2, random_state=5)\n",
    "print(x_train.shape)\n",
    "print(x_test.shape)\n",
    "print(y_train.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3119383c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decision tree accuracy score is: 100.0\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "DT =  DecisionTreeClassifier()\n",
    "DT.fit(x_train, y_train)\n",
    "y_pred = DT.predict(x_test)\n",
    "acc = accuracy_score(y_test, y_pred)*100\n",
    "print(f\"Decision tree accuracy score is: {acc}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "16a0f8e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\n",
      "the person does not have a Heart Disease\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HD\\anaconda3\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but DecisionTreeClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "input_data = (52,1,0,125,212,0,1,168,0,1,2,2,3)\n",
    "\n",
    "input_data_as_numpy_array= np.asarray(input_data)\n",
    "\n",
    "input_data_reshape = input_data_as_numpy_array.reshape(1,-1)\n",
    "\n",
    "prediction = DT.predict(input_data_reshape)\n",
    "\n",
    "print(prediction)\n",
    "\n",
    "\n",
    "if (prediction[0]==0):\n",
    "    print(\"the person does not have a Heart Disease\")\n",
    "else:\n",
    "        print(\"the person has Heart Disease\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8cd4fb4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[103   0]\n",
      " [  3  99]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "data = pd.read_csv(\"heart.csv\")\n",
    "x = data.drop('target',axis=1)\n",
    "y = data['target']\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(x,y, test_size=0.2, random_state=5)\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "DT =  DecisionTreeClassifier()\n",
    "DT.fit(x_train, y_train)\n",
    "y_pred = DT.predict(x_test)\n",
    "from sklearn.metrics import confusion_matrix as cm\n",
    "conf = cm(y_test, y_pred)\n",
    "print(conf)\n",
    "sns.heatmap(conf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a7979334",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc14ccdc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d54b3030",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}