examples/tutorials/tutorial-adult_income_dataset.ipynb

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    "# Selective Classification for Targeted Sales\n",
    "\n",
    "## This tutorial shows how to analyze and visualize the uncertainty estimation quality of a classification model using UQ360 and reduce model errors using selective classification framework.\n",
    "\n",
    "\n",
    "We consider a classification system for targeted sales that predicts the customers in a database to be high- or low-income earners. We illustrate how uncertainty quantification can help end users and developers reduce model errors. When the uncertaines are well calibrated, rejecting model predictions with high uncertainty and delegeting the decisions to expert can reduce costly mistakes. This paradigm is called selective classification [1].\n",
    "\n",
    "The predictive uncertainty in this classification task is expressed as a confidence score. This confidence score conveys the confidence in the label predicted by a classification model. For probabilistic classifiers, we define this as the probability of the most probable class i.e score = argmax_y p(y|x). \n",
    "\n",
    "```\n",
    "[1] El-Yaniv, R. (2010). On the Foundations of Noise-free Selective Classification. Journal of Machine Learning Research, 11(5).\n",
    "```\n",
    "\n",
    "\n",
    "### Use case: \n",
    "Let us assume that a seller, Ayo, gets a prediction that customer A belongs to the high-income group. Meanwhile the uncertainty information tells him that this prediction is with 85% confidence. Ayo is new to the system, and he wonders wondering if this is a good enough confidence, and in general, where he should draw the line as a \"good confidence score\" to rely on the AI system's prediction to make targeted sales. Ayo also would like to compare the model's performance with respect to male and female customers.\n",
    "\n",
    "Here are the steps involved in the analysis:\n",
    "\n",
    "#### Step 1: Write import statements.\n",
    "\n",
    "#### Step 2: Load and pre-process the dataset.\n",
    "\n",
    "#### Step 3: Train a logistic regression model.\n",
    "\n",
    "#### Step 4: Compare the calibration and selective classification performace across male and female customers.\n",
    "\n",
    "#### Step 5: Improve logistic regression model using post-hoc recalibration.\n",
    "\n",
    "#### Step 6: Train a fairness-aware model and repeat selective classification analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 1: Write import statements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append(\"../../\")"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "!pip install 'aif360[all]';"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "module compiled against API version 0xe but this version of numpy is 0xd",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;31mRuntimeError\u001b[0m: module compiled against API version 0xe but this version of numpy is 0xd"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import tensorflow as tf\n",
    "tf.compat.v1.disable_eager_execution()\n",
    "\n",
    "from sklearn.compose import make_column_transformer\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score, balanced_accuracy_score\n",
    "from sklearn.model_selection import GridSearchCV, train_test_split\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.calibration import CalibratedClassifierCV\n",
    "\n",
    "from aif360.sklearn.datasets import fetch_adult\n",
    "from aif360.sklearn.metrics import disparate_impact_ratio, average_odds_error, generalized_fpr, statistical_parity_difference, equal_opportunity_difference\n",
    "from aif360.sklearn.metrics import generalized_fnr, difference\n",
    "\n",
    "\n",
    "from aif360.sklearn.inprocessing.adversarial_debiasing import AdversarialDebiasing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from uq360.metrics.classification_metrics import plot_reliability_diagram, plot_risk_vs_rejection_rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 2: Load and pre-process the dataset.\n",
    "\n",
    "We will use the UCI adult income dataset [2] to predict the high earners. This dataset contains `48842` instances, mix of continuous and discrete. We will load this dataset using `fetch_adult` utility provided in `AIF360` [3]. To highlight the issues with poor uncertainy estimates we will create an imbalance in the dataset by having a skewed distribution of high earners across gender groups.\n",
    "\n",
    "Information about dataset features is provided in adult.names\n",
    "\n",
    "```\n",
    "[2] https://archive.ics.uci.edu/ml/datasets/adult\n",
    "[3] https://github.com/Trusted-AI/AIF360\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>workclass</th>\n",
       "      <th>education</th>\n",
       "      <th>education-num</th>\n",
       "      <th>marital-status</th>\n",
       "      <th>occupation</th>\n",
       "      <th>relationship</th>\n",
       "      <th>race</th>\n",
       "      <th>sex</th>\n",
       "      <th>capital-gain</th>\n",
       "      <th>capital-loss</th>\n",
       "      <th>hours-per-week</th>\n",
       "      <th>native-country</th>\n",
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       "    <tr>\n",
       "      <th></th>\n",
       "      <th>race</th>\n",
       "      <th>sex</th>\n",
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       "      <th>0</th>\n",
       "      <th>Non-white</th>\n",
       "      <th>Male</th>\n",
       "      <td>25.0</td>\n",
       "      <td>Private</td>\n",
       "      <td>11th</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Non-white</td>\n",
       "      <td>Male</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>United-States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>White</th>\n",
       "      <th>Male</th>\n",
       "      <td>38.0</td>\n",
       "      <td>Private</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Farming-fishing</td>\n",
       "      <td>Husband</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>United-States</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>White</th>\n",
       "      <th>Male</th>\n",
       "      <td>28.0</td>\n",
       "      <td>Local-gov</td>\n",
       "      <td>Assoc-acdm</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Protective-serv</td>\n",
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       "      <td>Male</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>40.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>Non-white</th>\n",
       "      <th>Male</th>\n",
       "      <td>44.0</td>\n",
       "      <td>Private</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Married-civ-spouse</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Husband</td>\n",
       "      <td>Non-white</td>\n",
       "      <td>Male</td>\n",
       "      <td>7688.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>United-States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <th>White</th>\n",
       "      <th>Male</th>\n",
       "      <td>34.0</td>\n",
       "      <td>Private</td>\n",
       "      <td>10th</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Never-married</td>\n",
       "      <td>Other-service</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>White</td>\n",
       "      <td>Male</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>United-States</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   age  workclass     education  education-num  \\\n",
       "  race      sex                                                  \n",
       "0 Non-white Male  25.0    Private          11th            7.0   \n",
       "1 White     Male  38.0    Private       HS-grad            9.0   \n",
       "2 White     Male  28.0  Local-gov    Assoc-acdm           12.0   \n",
       "3 Non-white Male  44.0    Private  Some-college           10.0   \n",
       "5 White     Male  34.0    Private          10th            6.0   \n",
       "\n",
       "                      marital-status         occupation   relationship  \\\n",
       "  race      sex                                                          \n",
       "0 Non-white Male       Never-married  Machine-op-inspct      Own-child   \n",
       "1 White     Male  Married-civ-spouse    Farming-fishing        Husband   \n",
       "2 White     Male  Married-civ-spouse    Protective-serv        Husband   \n",
       "3 Non-white Male  Married-civ-spouse  Machine-op-inspct        Husband   \n",
       "5 White     Male       Never-married      Other-service  Not-in-family   \n",
       "\n",
       "                       race   sex  capital-gain  capital-loss  hours-per-week  \\\n",
       "  race      sex                                                                 \n",
       "0 Non-white Male  Non-white  Male           0.0           0.0            40.0   \n",
       "1 White     Male      White  Male           0.0           0.0            50.0   \n",
       "2 White     Male      White  Male           0.0           0.0            40.0   \n",
       "3 Non-white Male  Non-white  Male        7688.0           0.0            40.0   \n",
       "5 White     Male      White  Male           0.0           0.0            30.0   \n",
       "\n",
       "                 native-country  \n",
       "  race      sex                  \n",
       "0 Non-white Male  United-States  \n",
       "1 White     Male  United-States  \n",
       "2 White     Male  United-States  \n",
       "3 Non-white Male  United-States  \n",
       "5 White     Male  United-States  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X, y, sample_weight = fetch_adult()\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "X.index = pd.MultiIndex.from_arrays(X.index.codes, names=X.index.names)\n",
    "y.index = pd.MultiIndex.from_arrays(y.index.codes, names=y.index.names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = pd.Series(y.factorize(sort=True)[0], index=y.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The `inplace` parameter in pandas.Categorical.remove_unused_categories is deprecated and will be removed in a future version.\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "</div>"
      ],
      "text/plain": [
       "             age  education-num  capital-gain  capital-loss  hours-per-week  \\\n",
       "  race sex                                                                    \n",
       "0 0    1    25.0            7.0           0.0           0.0            40.0   \n",
       "1 1    1    38.0            9.0           0.0           0.0            50.0   \n",
       "2 1    1    28.0           12.0           0.0           0.0            40.0   \n",
       "3 0    1    44.0           10.0        7688.0           0.0            40.0   \n",
       "5 1    1    34.0            6.0           0.0           0.0            30.0   \n",
       "\n",
       "            workclass_Federal-gov  workclass_Local-gov  workclass_Private  \\\n",
       "  race sex                                                                  \n",
       "0 0    1                        0                    0                  1   \n",
       "1 1    1                        0                    0                  1   \n",
       "2 1    1                        0                    1                  0   \n",
       "3 0    1                        0                    0                  1   \n",
       "5 1    1                        0                    0                  1   \n",
       "\n",
       "            workclass_Self-emp-inc  workclass_Self-emp-not-inc  ...  \\\n",
       "  race sex                                                      ...   \n",
       "0 0    1                         0                           0  ...   \n",
       "1 1    1                         0                           0  ...   \n",
       "2 1    1                         0                           0  ...   \n",
       "3 0    1                         0                           0  ...   \n",
       "5 1    1                         0                           0  ...   \n",
       "\n",
       "            native-country_Portugal  native-country_Puerto-Rico  \\\n",
       "  race sex                                                        \n",
       "0 0    1                          0                           0   \n",
       "1 1    1                          0                           0   \n",
       "2 1    1                          0                           0   \n",
       "3 0    1                          0                           0   \n",
       "5 1    1                          0                           0   \n",
       "\n",
       "            native-country_Scotland  native-country_South  \\\n",
       "  race sex                                                  \n",
       "0 0    1                          0                     0   \n",
       "1 1    1                          0                     0   \n",
       "2 1    1                          0                     0   \n",
       "3 0    1                          0                     0   \n",
       "5 1    1                          0                     0   \n",
       "\n",
       "            native-country_Taiwan  native-country_Thailand  \\\n",
       "  race sex                                                   \n",
       "0 0    1                        0                        0   \n",
       "1 1    1                        0                        0   \n",
       "2 1    1                        0                        0   \n",
       "3 0    1                        0                        0   \n",
       "5 1    1                        0                        0   \n",
       "\n",
       "            native-country_Trinadad&Tobago  native-country_United-States  \\\n",
       "  race sex                                                                 \n",
       "0 0    1                                 0                             1   \n",
       "1 1    1                                 0                             1   \n",
       "2 1    1                                 0                             1   \n",
       "3 0    1                                 0                             1   \n",
       "5 1    1                                 0                             1   \n",
       "\n",
       "            native-country_Vietnam  native-country_Yugoslavia  \n",
       "  race sex                                                     \n",
       "0 0    1                         0                          0  \n",
       "1 1    1                         0                          0  \n",
       "2 1    1                         0                          0  \n",
       "3 0    1                         0                          0  \n",
       "5 1    1                         0                          0  \n",
       "\n",
       "[5 rows x 100 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.workclass.cat.remove_unused_categories(inplace=True)\n",
    "pd.get_dummies(X).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### One hot encoding of the features in the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ohe = make_column_transformer(\n",
    "        (OneHotEncoder(sparse=False), X.dtypes == 'category'),\n",
    "        remainder='passthrough')\n",
    "X_coded  = pd.DataFrame(ohe.fit_transform(X), index=X.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "(X_trainvalid, X_test,\n",
    " y_trainvalid, y_test) = train_test_split(X_coded, y, train_size=0.7, random_state=1234567)\n",
    "\n",
    "(X_train, X_valid,\n",
    " y_train, y_valid) = train_test_split(X_trainvalid, y_trainvalid, train_size=0.7, random_state=1234567)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Modify the dataset to simulate data imbalance\n",
    "\n",
    "The training dataset will have only N samples with positive label for one of the groups. This will create a case where model performs poorly on the group with skewed proportion of postive labels and show up as poorly calibrated uncertainties. Real datasets often have such imbalance and we see how to detect this and which models are robust to this dataset property. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "N = 100\n",
    "imb_X_train = pd.concat(\n",
    "    [X_train[~((y_train.index.get_level_values('sex')==0) & (y_train==1))],\n",
    "    X_train[((y_train.index.get_level_values('sex')==0) & (y_train==1))][:N]],\n",
    "    axis=0)\n",
    "imb_y_train = pd.concat(\n",
    "    [y_train[~((y_train.index.get_level_values('sex')==0) & (y_train==1))],\n",
    "    y_train[((y_train.index.get_level_values('sex')==0) & (y_train==1))][:N]],\n",
    "    axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 3: Train a logistic regression model.\n",
    "\n",
    "Ayo learns a standard logistic regression model from sklearn which after training achieves an overall accuracy of 83%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8335667428318715"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imb_lr = LogisticRegression(solver='lbfgs').fit(imb_X_train, imb_y_train)\n",
    "imb_lr_y_score = imb_lr.predict_proba(X_test)\n",
    "imb_lr_y_pred = imb_lr.predict(X_test)\n",
    "accuracy_score(y_test, imb_lr_y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 4: Compare the calibration and selective classification performace across male and female customers.\n",
    "\n",
    "To gain overall confidence in the model confidence scores Ayo can look at the expected calibration error (ECE). ECE is the expected difference between the classifier model's accuracy and prediction confidence averaged over multiple prediction bins. ECE is `0` when for any confidence score `p`, the fraction of samples that recieved that score and are correctly predicted is also `p`. Thus, low ECE implies the scores are well calibrated and trusted.\n",
    "\n",
    "He observes that the ECE metric over the validation set  is 0.03 but this metric has a higher value 0.05 when measured only on instances in the validation in group 1 to which customer A belongs.\n",
    "\n",
    "Ayo can also look the Reliability Plot (see below) which show the calibration error at each confidence level."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "group_1_ids = y_test.index.get_level_values('sex') == 0\n",
    "group_2_ids = y_test.index.get_level_values('sex') == 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ece_list, accuracies_in_bins_list, frac_samples_in_bins_list, confidences_in_bins_list = plot_reliability_diagram([y_test[group_1_ids], y_test[group_2_ids]],\n",
    "                         [imb_lr_y_score[group_1_ids], imb_lr_y_score[group_2_ids]],\n",
    "                         [imb_lr_y_pred[group_1_ids], imb_lr_y_pred[group_2_ids]],\n",
    "                         plot_label = [\"imb_LR Group 1\", \"imb_LR Group 2\"],\n",
    "                             num_bins=10\n",
    "                        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The lower confidence predictions appear to be least accurate for Group 1 and are falling below the ideal calibration line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "aurrrc_list, rejection_rate_list, selection_thresholds_list, risk_list = plot_risk_vs_rejection_rate([y_test, y_test],\n",
    "                         [imb_lr_y_score, imb_lr_y_score],\n",
    "                         [imb_lr_y_pred, imb_lr_y_pred],\n",
    "                         plot_label = [\"imb_LR Group 1\", \"imb_LR Group 2\",],\n",
    "                          risk_func=balanced_accuracy_score,\n",
    "                          selection_scores=[None, None],\n",
    "                          subgroup_ids=[group_1_ids, group_2_ids],\n",
    "                          num_bins=20\n",
    "                        )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The poorer ECE for Group 1 also means that as the threshold on the confidence score for accepting a prediction is increased, the reduction in error is marginal compared to the better calibrated Group 2."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Post-hoc recalibration of the model.\n",
    "\n",
    "Uncertainty information could also be used by model developers to diagnose and improve the model. For example, Megan is the lead data scientist working on the income prediction model. \n",
    "\n",
    "\n",
    "Megan attempts to improve the calibration using a held out set using a post method called Isotonic Regression methods which does not reduce the rejection rate for Group 1 by much. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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5QglyCTHhwVQLD8n/mVgzkmoRIYWXR4RQLf91CNUigglyCRnZuWRk5ZKRnWM9z84lI8t6np5VYFl2jr1dweU5hd+fZX3jL2k/2bmmUOyjl8wgLNhFk1rRNKsTTbPa0TStHUOzOtEk1ogkWJOQUkoVKyfXkJWTS2ZOLlnZuWTlGDKz7dcFHpnZpsA2eeutbVdvzWLDrE32emt/6Vk5dkuwValNyzzeIpyaX2nOJj3L/cquSyAyNJjI0CCiwoKJCAkiKiyIuIgQEuLCiQgJJiosKH+bvO2s58FEhQYRab+OCAlCBDILlTknv5yZeeXMth4r16ylUeOm+b+DvG0yC2yT93uxlhsys61KfcHfacGfefsvek7LE+QS6sWFk1gjioY1I0msEUlizUga1ogisWYkUWFatass+pv2oszsXDbsTWH93mSS07MLVX7TMq3Kb0ZWwUpvDmlZuaRn5pBeoEKckZVbamW3JGFBEHdwb35lt3pUKA1rRlEtPDi/shsTfrwCfPy1tX1kaJDfXJrKthPVscwcfpw6m5iEU1m/N5n1e1NYtOUQPy7dlb9taJCLxrWiaFo7mmZ2xbpZ7WgSa0YRGqyVa6WU83JzDYfTsjiQksGB1EwOpGSSmpFdqCKbVzHLKlKRzbQrrfnb2ZW3LHvbgpW7vAru8f0ackqowJXZmjX5T4NdVstrZGjhSm10WDB1YsKJDLMruKHBxyu8YXmv7e0LvbYqw052BaydupF+vZK8su/cXLvinpNLakY22w+msfVAKtsOHmPrgWNsPXiMSSt2c+hYVqH3xUeHklgzisQakVYlu0AFu2ZUqN+c0/2BVqI95EhaFmt2H2X1rqOstn+u35tMVs6JiSjIJUSGBBEWEkREqIuIkCDC7UdcRAjh1cKICAkiIvT48gj7ER7isl6HBhV6X966gsvDgl388ccf9OvXr/J/IQ4IDnIRHGQl6CZxQfTr0qDQ+tSMbDbuS2HdHuuLzYY9KSzfcYRfVuzG2B9TsEtIio+iWR271bq21YqdFB9FWHCQA6VSSgWK3FzDkbQsDqRmcCAlk4X/ZLN93lYOpmRay1IzOZCSwUG7wnzoWCbu1mWtbgCS3wUgpEiXgbxlESFBVAsPPt7NwF4eEiyFux3kP6xuBvmvg12EFtln/n6CpVB3hAXz5tKvTy9rW5cLl3atKxOXSwh3WefzauEh1I2NoGtSjRO2O5KWxbYDx9h6MJWtB47lP5+36QDfL92Zf34DiA4LpkGNSBrVtCvYduW6YY1I6sVFaPfHMtJKdBkZY9h5OK1QZXn17qPsOJSWv018dBit61Wjb/NatKpbjRanxBAbGZJf2dW+TM6ICgumXf042tWPK7Q8LTOHjftS2LA3hXV7rJbrNbuTmbzyn/wTWJBLSKwRabdYx9iV7Gia1IomPEQr10pVRbm5hqPpWexPyeRgaiYHUzPynxdsPT6YmsmBVKtSfEIL79KVAMRFhlAjKpSaUaE0jo+mc6NQ4qNCqREVSo3oMOt5dCjRYVYFOCwoKL/iG+yjN7PFhAox4SFOhxHwYiNCaFs/lrb1Y09Yl56Vw45Ddsv1gWN2K3Yqf+9JZuqaPYUa+kKChPrVrQp1Ys1IEmtGcXRvNgl7kmlQI1LPdcXQSvRJZOVY3TGKVpiPpFmXTkQgKT6K9g3iuKpbQ1rVrUaretWoHRPucOSqLCJCg2iTEEubhMIJKD0rh837U1m/N4UNe5LzW7CnrtmbfyIUgYY1IvMr1i3rVuO8NqfoFyWl/JAxhqNp2exPPd4afCA1w24pth4H7VZk63kxlWJbtfBg4qPDqBEVSqP4SDomVic+2q4UR4USHx3GpjXLGdCvJ9UjQzVnKK8IDwmiae0YmtaOOWFdTq5h95E0u+U6r5JttWYv2XqIZHvggNFLZgJwSrXwQn2w2yTE0vfUWj75Ba6yeL0SLSLnAqOBIOB9Y8yLJWw3CPgG6GKMWeTtuIo6mp7FmiKV5fV7UvL7IoeHuGhxSjUuaFc3v7Lc4pQYIkP1e0igCg8JomXdarSsW63Q8szsXLYcSGW9XalevzeF9XuS+WPdXrJyDJe2r8crg9vrpUvll/wlZ7vDGMPR9OxiWoYzCrQeZ7Lf7kJxMDWzxJu5YgpUihvWiKRDwzi75TiMmtHWT6tyHEr1KPcqxVk7XNroohwT5LJanutXj6RnkXXGGA6mZvL91NnEJ7aw+2Cnsu3AMWas28e+5AwA/m9QW67s0rDyg/cRXq0BikgQ8CZwNrADWCgiE4wxq4tsFwPcDcz3Zjxg/WHsOpJuVZR3HWX17iOs3n2U7QcLdscIpVW9WHo3q0WretVoVbcaSfFR2ldIAdYwfKfWieHUOjFA3fzlWTm5vD1jI//9bR1xkaE8cVGrKv0NXfkfX8zZBRljSM7IPt6HuECLcH6rcWqmXUG2nhd3XwpATFgwNe2W4QY1ImnfwK4UR4dRMyo0f118dBjVI0P1hmNVpYgINaPDaBoXRL8OCSesT83IZsSni3hiwio6JVYvtqW7KvB2M2pXYIMxZhOAiHwBXAKsLrLdM8D/ASO9EUROruGFiWv4c3Ua98z8jcPHCnTHqBlFu/pxDOnSkFb1qtFau2OocgoJcnHHGU05kpbF+7M3Uz0ylLvPauZ0WEqVhU/kbICpW7P44Yu/CvUrPpiaWeJIRdEFKsUJceG0S4ilRnRofoU4r6U4bxu9UVip8osKC+aVwe05b/Qs7vj8L364/fQq2Wfa25XoBGB7gdc7gG4FNxCRjkADY8wvIuKVhBzkEn5fuxdy4Lw2dfNbl1ucEqPjKSqPEhEeOb8lh45l8erUdVSPCuHaHo2cDkspd/lEzgbYdCSX7emHqBkVRt3YcNokVKNGVNgJ/YrznlfFE7hSTqpTLZz/XnEaN3y8kOcnruHpS9o4HVKlc7QGKSIu4BXgeje2HQGMAKhTpw4zZswo07Ee62RITc0hOvoApB8geTMs3Fz2mP1NSkpKmX9XgcDpcp8fb9hUO4gnflzFrs0b6F7P+/9qTpfZKVW13E6ozJx9VeMsoqPDgCz7kWqtyAGOWo/9WA9/Feh/u4FePgj8MpZWPgEGJAYzdu5WYtP/oVMd/2uYrNBnaIzx2gPoAUwp8Pph4OECr2OxcuAW+5EO7AI6n2y/nTp1MuUxffr0cr3Pn1XFMhvjG+VOy8w2g9+eY5o8/Iv5fe0erx/PF8rsBH8rN7DIeDHvVuThSznb3z7X8gj0MgZ6+YwJ/DK6U770rGxzweszTbsnp5idh455PygPc6eMJeVtb98psRBoJiJJIhIKDAEm5K00xhwxxsQbYxoZYxoB84CLjY/e6a1UWYSHBPH+dZ1pUTeGWz9bzOKtB50OSanSaM5WSpVJWHAQbwztSHZOLnd/8RfZ5Zxh2R95tRJtjMkG7gCmAGuAr4wxq0TkaRG52JvHVsoXxISH8PENXakbG8ENHy1kze6jToekVIk0ZyulyiMpPopnB7Zh4ZZDvP77BqfDqTReH7PHGDPRGHOqMaaJMeY5e9njxpgJxWzbT1s0VKCJjw7j0+FdiQwN5toPF7DtwDGnQ1KqRJqzlVLlMbBDfS7rmMCY39czb9MBp8OpFDrwpVKVoH71SD4d3pWsnFyu/mA+e5PTnQ5JKaWU8qhnLmlDYs0o7vliKYdSM50Ox+u0Eq1UJWlWJ4aPb+jK/pQMrv1gQf708UoppVQgiAoL5o2hHTiQmsHIb5bl3ZAcsLQSrVQlat8gjnev6czGfSkM/3ghaZk5ToeklFJKeUybhFgeOq8lU9fs5ZM5W5wOx6u0Eq1UJevVLJ7RQzqweNshbhu3mKwqdCezUkqpwPev0xtxRovaPD9xLat2HXE6HK/RSrRSDji/bV2eH9iW6X/v4/6vl5GbG9iXvJRSSlUdIsKoy9sRFxnCneP/IjUj2+mQvEIr0Uo5ZGjXhjxwbnN+XLqLp35aFfB9x5RSSlUdNaPDeG1IezbvT+WJCaucDscrtBKtlINu7duEm3on8cncrYyett7pcJRSSimP6dkknjv6N+WbxTv4celOp8PxOK1EK+UgEeGR81tyRaf6vDZ1fcDfhKGUUqpqufvMZnROrM5/vl/J1gOpTofjUVqJVsphIsILl7Xl7FZ1eGLCqoD8tq6UUqpqCg5y8dqQ9rgE7hz/F5nZgXMzvVailfIBwUEu3hjage6Na3DfV8uYvnav0yEppZRSHlG/eiQvXd6O5TuO8PKvfzsdjsdoJVopHxEeEsR713amRd0Ybh23mEVbDjodklJKKeUR57apy7BuDXl35iZm/B0YDUVaiVbKh8SEh/DxDV2pFxvBvz5eyJrdR50OSSmllPKIxy5sRfM6Mdz/9TL2Jqc7HU6FaSVaKR8THx3Gpzd2IyosmGs/XBBwN2IopZSqmsJDgnjjqg6kZGTz7y/9f44ErUQr5YMS4iL4dHhXsnNyueaDBew96v/f2JVSSqlT68TwxEWtmb1hP2/P3Oh0OBWilWilfFTT2jF8dENX9qdkcO2HCzhyLMvpkJRSSqkKG9KlARe0rct/f13Hkm2HnA6n3LQSrZQPa98gjnev6cymfan865OFpGXmOB2SUkopVSEiwvOXteWUauHcNf4vjqT5ZyORVqKV8nG9msUzekh7/tp2iFvHLSYrJ3DG2FRKKVU1xUaE8PrQDuw+ks4j36/AGP/rH62VaKX8wHlt6/L8wLbM+Hsf93/t/zdjKKWUUp0Sq/Pvs0/ll+W7+XLhdqfDKTOtRCvlJ4Z0bciD57bgx6W7eOqnVX75rV0ppZQq6Na+TTi9aU2e/GkV6/ckOx1OmWglWik/ckvfxozo05hP5m7ltanrnQ5HKaWUqhCXS3h1cHuiQoO5c/xfpGf5z70/WolWyo+ICA+f14LBneszetp6Pv5zs9MhKaWUUhVSu1o4Lw8+jbX/JPPcL2ucDsdtWolWys+ICM8PbMs5rerw5E+r+eGvnU6HpJRSSlVI/+a1ual3Ep/O28rklbudDsctWolWyg8FB7l4fWgHejSuyf1fL2P62r1Oh6SUUkpVyMgBLWhXP5YHvlnOzsNpTodTKq1EK+WnwkOCePfaTrSsW41bPlvMukP+049MKaWUKio02MXrQzqQk2u4e/xfZPv4kK5aiVbKj8WEh/DxDV1IqB7B6CXpOquhUkopv9YoPornBrZl0dZDfLVoh9PhnJRWopXyczWjwxgztCOpWTBuwVanw1FKKaUq5NIOCdSICmXFzsNOh3JSWolWKgC0qleNNjWD+OjPLWRka7cOpZRS/q1JrSg27k11OoyT0kq0UgHi/MYh7EvO0NE6lFJK+b0mtaLZtD/F6TBOSivRSgWIljVctK5XjXdnbtJpwZVSSvm1xrWi2J+S6dP3+mglWqkAISKM6NOYjftSmaZD3imllPJjTWpFA7DRh1ujtRKtVAC5oG1dEuIieHfmRqdDUUoppcqtcV4leq9WopVSlSA4yMWNvZNYuOUQi7cecjocpZRSqlwaVI8gJEjYtN93by7USrRSAWZw5wbERoRoa7RSSim/FRzkIrFmlLZEK6UqT1RYMNd0T+TX1XvYtM93k49SSil1Mk1qRbHRh89jblWiRaSOiHwgIpPs161EZLh3Q1NKldd1PRsREuTi/dmbnQ5FOUBztlIqEDSpFc22g8fI8tHpv91tif4YmALUs1+vA+7xQjxKKQ+oFRPGoI71+WbxDvYlZzgdjqp8H6M5Wynl5xrXiiYrx7D94DGnQymWu5XoeGPMV0AugDEmG9Bp0ZTyYTf1TiIrJ5exc7c4HYqqfJqzlVJ+r0mtKAA27fPNmwvdrUSnikhNwACISHfgiNeiUkpVWONa0ZzTqg5j524lNSPb6XBU5dKcrZTye/nD3Plov2h3K9H/BiYATUTkT2AscKfXolJKecSIPk04kpbFV4u2Ox2Kqlyas5VSfi82IoT46DCfbYkOLm0DEQkC+tqP5oAAfxtjfHceRqUUAJ0Sq9M5sTofzN7MNd0TCQ7SAXkCneZspVQgaezDI3SUekY1xuQAQ40x2caYVcaYlZqMlfIfN/dtwo5DaUxc+Y/ToahKoDlbKRVImtSK9t9KtO1PERkjIr1FpGPew6uRKaU84swWtWlSK4p3/tiIMcbpcFTl0JytlAoITWpFcehYFgdTM50O5QSlduewtbd/Pl1gmQHO8Gg0SimPc7mEm3o35qHvVjBn4wFObxrvdEjK+9rbPzVnK6X8WhP75sJN+1KoEVXD4WgKc6sSbYzp7+1AlFLec2mHBP772zremblJK9FVgOZspVSgOF6JTqVzI9+qRLs7Y2GsiLwiIovsx39FJNbbwSmlPCM8JIjrezZi5rp9rN511OlwlJdpzlZKBYqE6hGEBrt8sl+0u32iPwSSgcH24yjwkbeCUkp53tXdEokMDeK9WZucDkV5n+ZspVRACHIJSTWj2OiDw9y5W4luYox5whizyX48BTT2ZmBKKc+KjQxhSJeG/LRsF7sOpzkdjvIuzdlKqYDRuFYUm/y4JTpNRHrlvRCR0wE9CyvlZ4b3TsIAH87e7HQoyrs0ZyulAkaTWtFsPXiMzOxcp0MpxN3ROW4FPinQp+4QcL1XIlJKeU1CXAQXtavL+AXbuPPMZsRGhDgdkvIOzdlKqYDRuFYUObmGbQeP0bR2tNPh5HOrJdoYs9QYcxrQDmhnjOlgjFnm3dCUUt4wok8TUjNzGDd/q9OhKC/RnK2UCiR5I3T42s2F7o7O8byIxBljjhpjjopIdRF51tvBKaU8r1W9avRuFs9Hf24hIzvH6XCUF2jOVkoFksa1ogBrmDtf4m6f6POMMYfzXhhjDgHnu/NGETlXRP4WkQ0i8lAx628RkRUislREZotIKzdjUkqV0819mrAvOYMf/trpdCjKOzRnK6UCRkx4CLVjwvyzJRoIEpGwvBciEgGEnWT7vO2CgDeB84BWwNBiEu7nxpi2xpj2wEvAK27GpJQqp9Ob1qRV3Wq8O3MTubk6FXgA0pytlAooTWpF+9wIHe5WoscB00RkuIgMB34DPnHjfV2BDfYQS5nAF8AlBTcwxhSc+SEKa2papZQXiQg3923Mxn2p/L52r9PhKM/TnK2UCiiNa1ljRRvjOynH3Wm//09ElgFn2YueMcZMceOtCcD2Aq93AN2KbiQitwP/BkKBM9yJSSlVMRe0rctLk//mnZkbOatVHafDUR6kOVspFWia1IrmSFoWB1MzqRld6oW1SiHu1OhFJApIM8bkikhzoDkwyRiTVcr7LgfONcbcaL++BuhmjLmjhO2vAgYYY64rZt0IYARAnTp1On3xxRelxl1USkoK0dG+MzRKZaiKZYaqWe7ylPnXLVl8vjaTR7uH0zQuyEuReZe/fdb9+/dfbIzp7M1jBELO9rfPtTwCvYyBXj4I/DL6UvmW78vmlcUZPNw1nOY1PHe+cqeMJeZtY0ypD2AxEInVSrEZ+BoY58b7egBTCrx+GHj4JNu7gCOl7bdTp06mPKZPn16u9/mzqlhmY6pmuctT5pT0LNPuySnm5rGLPB9QJfG3zxpYZNzIuxV5BELO9rfPtTwCvYyBXj5jAr+MvlS+bQdSTeKDP5vP52/16H7dKWNJedvdPtFijDkGXAa8ZYy5AmjtxvsWAs1EJElEQoEhwIRCOxZpVuDlBcB6N2NSSlVQVFgw13RPZMrqf3zuhg1VIZqzlVIBJSEugrBgl0+dq9yuRItID2AY8Iu9rNS2dGNMNnAHMAVYA3xljFklIk+LyMX2ZneIyCoRWYrVx+6Ey4JKKe+5rmcjQoJcvK9TgQcSzdlKqYDicglJ8dbNhb7C3Wm/78a6rPe9nVAbA9PdeaMxZiIwsciyxws8v9vNGJRSXlArJoxBHRP4ZvEO7j3rVGrF+MYNG6pCNGcrpQJOk9rRrNp5xOkw8rk77fdMY8zFxpj/s19vMsbclbdeRN7wVoBKKe+7sXdjsnJyGTt3i9OhKA/QnK2UCkRN4qPYdvCYz8y26253jtKc7qH9KKUc0KRWNGe3rMOn87ZyLDPb6XCU92nOVkr5nSa1o8k1sO3AMadDATxXiVZK+bmb+zbm8LEsvlq4vfSNlVJKqUrWON4ais5Xpv/WSrRSCoBOiTXonFid92dvJjsn1+lwlFJKqUIa14oC8JmbCz1ViRYP7Ucp5aARfRqz41AaE1f+43Qoyrs0Zyul/E5UWDB1Y8P9qyVaRNqWssloD8SilHLYWS3r0LhWFO/O3Jg3mYbyQ5qzlVKBqnEt3xnmzt2W6P+JyAIRuU1EYouuNMZ87NmwlFJOcLmEm3o3ZuXOo8zZeMDpcFT5ac5WSgWkJrWi2bQvxScaetwd4q431qD9DYDFIvK5iJzt1ciUUo4Y2CGB+Ogw3pm5yelQVDlpzlZKBarG8VEkp2ezLyXD6VDc7xNtjFkPPAo8CPQFXheRtSJymbeCU0pVvvCQIG44vREz1+1jze6jToejyklztlIqEDWpbY3QsckHunS42ye6nYi8ijUN7BnARcaYlvbzV70Yn1LKAVd3SyQyNIh3tTXaL2nOVkoFqsa1fGeYO3dbot8AlgCnGWNuN8YsATDG7MJq6VBKBZDYyBCGdGnIT8t2setwmtPhqLLTnK2UCkh1q4UTERLExr1+0hINXAB8boxJAxARl4hEAhhjPvVWcEop5/yrVyMM8OHszU6HospOc7ZSKiC5XELjWlFs2u8/LdFTgYgCryPtZUqpAFW/eiQXtqvL+AXbOJKW5XQ4qmw0ZyulAlbjWtF+1Z0j3BiTH639PNI7ISmlfMWIPo1Jzcxh3PytToeiykZztlIqYDWpFcWOQ2mkZ+U4Goe7lehUEemY90JEOgHaUVKpANe6Xiy9m8Xz0Z9byMh2NlmpMtGcrZQKWI1rRWMMbDngbL9odyvR9wBfi8gsEZkNfAnc4bWolFI+Y0SfxuxLzuDHv3Y5HYpy3z1ozlZKBagmtaIA54e5C3ZnI2PMQhFpATS3F/1tjNFOkkpVAb2axtOqbjXembmRyzvVx+USp0NSpdCcrZQKZEnxViV6415n+0W7PdkKVjJuBXQEhorItd4JSSnlS0SEm/s2ZuO+VH5fu9fpcJT7NGcrpQJSZGgwCXERjt9c6O5kK09gjTv6BtAfeAm42Itxed68t4lO1okjlCqP89vWJSEuQidf8ROBkLPj982FpePhyA6nQ1FK+SBrmDs/6M4BXA6cBvxljLlBROoAn3kvLA/LSIZZ/6VT6j7IXQxnPAYxpzgdlVJ+IyTIxb96JfHMz6tZsu0QHRtWdzokdXL+nbOBersmw6ql1ovqSdCoFyT1gUa9oVpdR2NTSjmvSa1ovl60HWMMIs50M3S3O0eaMSYXyBaRasBeoIH3wvKwsBi4YyE76l8Cy76E1zvCzFGQpTerK+WuIV0aEBsRwrt/aGu0H/DvnA0sb/cE3DIbBrwAtVvBmgnw3U3wSgt4oxP8dDes+AaS9zgdqlLKAU1qRZGamcPe5AzHYnC3JXqRiMQB7wGLgRRgrreC8oqIODY2vYEGAx+H3x6H35+FxZ/AWU9Cm0Hg0LcYpfxFVFgwV3dvyP9mbGTz/tT8GzuUT/L/nC0uOKWt9ehxG+TmwD8rYMss2DIbVn4Hiz+2to1vbrdU97ZaqqPiHQ1dKeV9jWtFA9bNhXWqhTsSQ6mVaLHayF8wxhwG3haRyUA1Y8xybwfnFTWbwJBxsHkWTHkYvh0O89+2WjsadHE6OqV82nU9G/HezM28N2sTzw9s63Q4qhgBl7PzuIKgXnvr0fNOyMmGf5ZZFerNs2D5l7DoA2vbWi2PV6gb9YLIGk5GrpTygiZ5lej9qfRs6swX51Ir0cYYIyITgbb26y3eDqpSJPWGEX/A0s/h92fgg7Og7RVWy3RsfaejU8on1Y4JZ1CnBL5ZvIN/n30q8dFhToekigjYnF1UUDAkdLIep98NOVmwexlsnmm1Vv/1GSx419q2ThurQp3UGxJ7QoT26VfK39WpFkZUaJCjw9y5251jiYh0McYs9Go0lc0VBB2vgdaXwuzXYO4YWPOT1cpx+j0QFu1wgEr5nht7N+aLhdsZO2cL/z6neelvUE4IzJx9MkEhUL+z9ej9b8jOhF1/wZaZVkv14o9g/luAWF1EkvpYrdSJPSE81unolVJlJCI0rhXt6Agd7laiuwHDRGQrkAoIVoNHO69FVpnCYuDMx6DTdTD1SeumwyWfwpmPw2lDwVWW4bSVCmxNakVzVss6jJ23lVv6NSEy1N00oipRYOdsdwSHQsNu1qPPSMjOgJ2LrQr1llmw4D2r4URcUPc0q0LdqA8k9rDOCUopn9ekVhQLtxxy7Pjunv0GeDUKXxHXEC7/ELrdApMfhh9vgwXvWP2lG53udHRK+Yxb+jbmt9V7+Grhdq4/PcnpcNSJqkbOLovgMKvVObEn8CBkpcOOhcdvVJz/Dsx5AyQI6nU4fqNig+56VVIpH9W4VjQ/LN1FWmYOEaFBlX58dyvRxqtR+JoGXWH4b7DyW6tl+uPzoeVFcPbTUKOx09Ep5bhOiTXolFid92dv5uruiQQH6dUaH1O1cnZ5hIRbleSk3tbrzGOwY4HdUj3baqX+8zVwBUO9jsdvVGzQDUIjHQ1dKWXJu7lw8/5UWtWrVunHd7cS/QtWUhYgHEgC/gZaeyku57lc0O4KaHEBzH0TZr8K66ZYrdR97tc+dKrKG9GnMTd/upiJK//h4tPqOR2OKqzq5eyKCo2Exv2sB0BmKmybd7ylevZrMOu/4LL7XufdqFi/C4REOBi4UlVX41rWUKsb96X4biXaGFNoLCsR6Qjc5pWIfE1oJPQdCR2utkbxmPOGNaJH/0eg43XWHeJKVUFnt6xD4/go3p25kYva1XVsxih1oiqdsz0lNAqanmk9wJr5Nq9SvXkWzHoZZr4EQWFWRTrJHk6vfher64hSyuuS4qMQgU37nLm5sFw1QGPMEhHp5ulgfFq1unDp/6DrCJjyCPzyb+vGlAHPHU+ySlUhLpdwU5/GPPzdCuZuPODYOJ2qdFUyZ3taWAw0O9t6AKQfga1z7ZbqWTDjRcBAcLjVJbCRPfpHQifrJkellMeFhwSREBfBxn3ODHPnViVaRP5d4KUL6Ajs8kpEvq5ee7j+F2sovN8eg88ug2YD4JxnodapTkenVKUa2CGB//66jtd/X0+PJjW1NdpHaM6uBOGx0Pxc6wGQduh4pXrzLJj+rLU8JNLqR92olzWsXr0O1nB8SimPaFIrmk37fbgSDRQc7ycbq7/dt54Px0+IQKuL4dQB1myHM1+Gt3pA5+HQ7yGdHUtVGeEhQdx9VjMe+2El3y3ZyaBOOlGRj9CcXdkiqkOL860HwLGDsPXP40Pq/f6MtTwkChp2h6TexByNgpxe2i1QqQpoWCOSpdsPO3Jsd/tEP+XtQPxScJg1U9ZpV8GM52Hhe9bUs30fhC436iU8VSUM69qQH/7ayTO/rKZv81o6i6EP0JztAyJrWKM6tbzIep2637pBMe9GxalP0glg5dPW2NR5Nyqe0s6aCEwp5ZaE6hEcScsiJSOb6LDK/ULq1rhUIvKbiMQVeF1dRKZ4LSp/E10LLnwVbvkTEjrClIetlum/J4HRkaZUYHO5hBcva0tqRjbP/Lza6XAUmrN9UlS8NTvuBf+F2+fD/etZ1ep+aHs5HNxsdQ98tx/8XxJ8PsQaFWr3csjNdTpypXxaQpw1Os7OQ2mVfmx3q+y1jDGH814YYw6JSG3vhOTH6rSCq7+D9b9ZNx+OHwJJfWHA81CntdUNRKkA1KxODLf1a8roaeu5tEMC/ZtrenCY5mxfF12bfbV7Q79+1uuju+2W6pnWz3WTrOXhcfZsivboH7Vbaku1UgUkVLcr0YeP0fyUyp1t1N1KdI6INDTGbAMQkUR0MP/iicCp50CT/rDoQ5jxArx9ujULVkikNZ5oSIT1PDTyxGX5PyOLWWZvFxpV/LrgcK2oK8fc1r8Jv6zYzaPfr+TXe/sQVcmX1VQhmrP9TbW61twE7a6wXh/Zcbz7x+ZZsPbn49uKyxpaLyjU6jYYVOCR/zrMuoExOOzk68vznhPW5+3L/qnnIVWJ6vtBS/R/gNki8gfW4P29gRFeiyoQBIVAt5uh3WBYOh7SDlozYmUdg6y0wj9T9xVZlmYN9F/mc56cULFulxMBTUZZQy4p5UVhwUG8eFlbLn97Lv/9dR2PX9TK6ZCqMs3Z/i62Ppw2xHoAHN5mVaaP7ICcTMjJgJwsyLZ/5mRYy7Mz7fWZkJ1uDcVX0vq8h6fZlevTcwUWRRWuhMfWt+4ZanqWNamZUhUUHx1GaJCLHYd9tBJtjJlsD9bf3V50jzFmv/fCCiAR1aFHOeY4MMZKjgUr1lnHCjwKLCu2cp4GWalEbZgFH5xt3fx41pMQU8fjRVQqT+dGNbi6e0M+nrOZi9vXo32DOKdDqpI0ZweguIbQYZjn92uMXckuWPkuqWJeWsW98Pq92zaTcEp8gWWZsHMJfH4FxJ8K3W+zviTojI+qAlwuoV5cuO+2RIvIQOB3Y8zP9us4EbnUGPODN4Or0kQgJNx6VMCCqZPozXyYM8Ya27rfQ1YLuY5TqrzkgXNbMHX1Xh76djk/3dmLkCBtbapsmrOV20SslmIvjCa1fsYMEvL6fOfJyYJVP8DcN+Dne6yh/7rcaD2itdu+Kp96cRHsdKAl2t2z2xPGmCN5L+wbVp7wSkTKo3KCI6wW6NvnW8Mo/fofeOt02Djd6dBUgKoWHsLTl7Rm7T/JvDtzk9PhVFWas5VvCgqx+n2P+AOun2hNRPPHS/Bqa/jxdtijI/yoskuIi3CkJdrdSnRx2+ldQ/6kZhMY9jUM/dK6pPbppfDl1XBoq9ORqQB0TutTOK/NKYyetp7N+1OdDqcq0pytfJsINDodho6HOxZBx2thxbfW8LCfDoQNU3WIWOW2hOoR7E3OICM7p1KP624lepGIvCIiTezHK8BibwamvKT5uXDbPDjjMdgwDd7sCjNetPpQK+VBT13cmrBgFw9/txyjJ8PKpjlb+Y/4ptb42f9eDWc+brVGfzYI/tcDloyFrHSnI1Q+Lm+s6N2HK/dvxd1K9J1AJvCl/cgAbvdWUMrLQsKhz/1wx0Jofr41DN+bXa0+01rZUR5Su1o4j5zfknmbDvLVou1Oh1PVaM5W/ieyBvS+D+5ZAQPfsaZDn3Cn1dVjxouQss/pCJWPOj5WdOU2CLpViTbGpBpjHjLGdLYfDxtj9Bqtv4utD1d8BNf9DKHRVveOTwfCvnVOR6YCxJWdG9A1qQbP/bKGvcnamlRZNGcrvxYcao3acfMsuO4nqN/Zaux5tbVVqd671ukIlY+pHxcJVP5Y0e5O+11LREaJyEQR+T3v4e3gVCVJ6m0lq/Negl1LrD5pU/4D6Uedjkz5OZdLeOGytqRn5/LUBL1hqLJozlYBQQSS+sBVX8LtC6H9VbD8K/hfN6u7x8bpevVUAXBKbDgiPtoSDYwD1gJJwFPAFmChl2JSTggKtoa+u3OJlajmvgljOlsTxeTmOh2d8mNNakVz1xlN+WXFbn5bvcfpcKoKzdkqsNQ6FS56De5dDf0fhd3LrRvk3zod/hpnjUOtqqzQYBd1YsJ9thJd0xjzAZBljPnDGPMv4AwvxqWcEhUPF78BN02D2Abwwy3w4QDYtdTpyJQfG9GnCc3rxPDYDytJTs9yOpyqQHO2CkxRNaHvSLh3JVzyP2vZj7fBq23gj1GQesDZ+JRjEqpX/jB37lai8856u0XkAhHpANTwUkzKFyR0guG/wSVvwqHN8G4/+OluTVCqXEKDXbw4qC17ktMZNeVvp8OpCjRnq8AWHGbN4Hjrn3DND1D3NJj+LLzaCn66R+/tqYISHJhwxd1K9LMiEgvcB9wPvA/c67WolG9wuaDD1XDnYuh+Kyz5FN7oCAveg5xsp6NTfqZDw+pc16MRn87byuKtB50OJ9BpzlZVgwg06Q9XfwO3zYd2V8LSz+HNLvD5lbDpD+03XUUkVI9g95E0cnMr7/N2d3SOn40xR4wxK40x/Y0xnYwxE/LWi8jDJb1XRM4Vkb9FZIOIPFTM+n+LyGoRWS4i00QksXxFUV4THgvnvmB946/bDibeb7VMb53jdGTKz9w/oDl1q4Xz0LcrKn1Q/KpEc7aqkmq3gItfh3tXQb9HYOdiGHsxvNMbln0B2ZlOR6i8KCEugqwcw97kyusf725LdGmuKG6hiAQBbwLnAa2AoSLSqshmfwGdjTHtgG+AlzwUk/K02i3h2glwxSeQfhg+Og++GQ5HdzkdmfIT0WHBPDuwDev3pvD2DJ0S3EGas1Xgiq4F/R6Ee1Za9/jkZMH3N8NrbWHWf+GYXgkLRMfHij5Wacf0VCVaSljeFdhgjNlkjMkEvgAuKbiBMWa6MSavxPOA+h6KSXmDCLS+FG5fAH0esCZoeaMzzHpF745WbjmjRR0uOq0eb07fwIa9yU6HU1VpzlaBLyTcmk78tnlw9bdQpxVMe9oab/qX++DARqcjVB5U3561cEcl3lzoqUp0SR1QEoCCU5XtsJeVZDgwyUMxKW8KjYQz/gO3z4fG/WDaU9YUret+dToy5Qcev7AVEaFBPPTtikrtv6byac5WVYcIND0Lrvkebp0DbS6zphN/oxOMHwpbZmu/6QBQL67yZy0U44E/HBH5yxjToZjllwPnGmNutF9fA3QzxtxRzLZXA3cAfY0xJzRpisgIYARAnTp1On3xxRdljjMlJYXo6Ogyv8+fVVaZqx9cQrP17xGZtov9Nbuwoelw0iPqev24JdHP2vfN2pHFByszubZVKGc0DCn3fvyt3P37919sjOnsZAz+kLP97XMtj0Avoy+XLyTzMAk7J1Jv1yRCs46SHN2E7Q0uZl+tXhhXsNv78eUyeoK/le/2aal0PSWY61qHuf0ed8pYYt42xlT4ATxSwvIewJQCrx8GHi5mu7OANUBtd47XqVMnUx7Tp08v1/v8WaWWOSvDmNmvGfNcPWOejjdmxkvG5ORU3vEL0M/a9+Xm5pqr3ptr2jw+2ew+nFbu/fhbuYFFxgN5tyIPf8jZ/va5lkegl9Evypd5zJhFHxnzRmdjnqhmzMstjFn4oTG5uW693S/KWAH+Vr7zR8801304v0zvcaeMJeXtk37dEpE3KPmyH8aYu+yfz5ewyUKgmYgkATuBIcBVRY7RAXgHq/Vj78niUT4uOBROvxvaDoYpj1hjdu5aAgPfgfBqTkenfIyI8PzAtpzz6kwe/3El717raONsQNCcrVQZhURAp+uhw7WwcZp1f8/P98Cq7+DiMVBdB5/xJwlxEWzen1ppxyutT/QiYDEQDnQE1tuP9kBoaTs3xmRjXe6bgtVq8ZUxZpWIPC0iF9ubjQKiga9FZKmITChhd8pfVKsLl38I570E66bAB2frDRyqWIk1o7j37FP5dfUeJq/c7XQ4gUBztlLl4XJBs7Phholw4Wuwc4l1n8/C9yE31+nolJsSqlsTrphK6uN+0pZoY8wnACJyK9DLTrCIyNvALHcOYIyZCEwssuzxAs/PKmPMyh+IQLeboVYL+Po6eK8/XP4RND3T6ciUj7mxVxITlu7i8R9X0aNJPLER5e8fXdVpzlaqgkSg8w3WuWrCXdYoHqt+gEvGQPVGTkenSpEQF8GxzBwOH8uielSp7QYV5u7oHNWBgtfjo+1lSp1c475w03SoVh/GXQ5zxuhd0KqQ4CAX/zeoHftTMnhx0lqnwwkUmrOVqoi4htZoHhe9DruWwv96WrP1aqu0T6tfvXJH6HC3Ev0i8JeIfCwinwBLgJL61ClVWI0kGP4rtLgQfv0PfH8LZFXu/PbKt7WtH8vwXkmMX7CN+ZsOOB1OINCcrVRFiUCn6+C2udCwuzVb7ycXwUGdKMpXJcRFApU3VrS7035/BHQDvge+A3rkXTZUyi1h0dZMh/3/A8u/gI/O15kOVSH3nn0q9atH8PD3K0jP0inBK0JztlIeFNfAmqzl4jHwz3J463SY/462SvugBF9siRYRwRrS6DRjzI9AqIh09WpkKvC4XND3ARjyOexfB+/2g+0LnI5K+YjI0GCeH9iWTftSeXP6BqfD8Wuas5XyMBHoeI01+2Hi6TDpAfj4AiKO6Q3RvqR6ZAgRIUHs9KWWaOB/WOOHDrVfJwNveiUiFfhaXAA3ToWQSPj4AmvmKKWAPqfW4rIOCbw1YyN//6NTgleA5mylvCE2AYZ9DZf8D/asovOiu2DeW9oq7SNEhITqEezypZZorBmrbgfSAYwxh3BjuCSlSlS7Jdz0u/WNfsKdMHEk5GQ5HZXyAY9e2IpqESE8+O1ycnRK8PLSnK2Ut4hAh2Fw+zwOx7WDyQ/Bx+frUK4+IiEuwre6cwBZIhKEPYi/iNQC9GuXqpjIGjDsG+hxByx4Fz4dCKl6U1lVVyMqlMcvbMXS7Yf5dO4Wp8PxV5qzlfK2avVY0fZRuPRt2Lsa3uoJc9+EXL2nw0l5Y0VXBncr0a9j3aBSW0SeA2ajd3orTwgKhgHPWbMabl8A7/WDf1Y4HZVy2CXt69Hn1FqMmvJ3pV2WCzCas5WqDCLQfijcNh8a97Nm6/3oPNi/3unIqqyEuAgOpmZyLDPb68dyd3SOccADwAvAbuBSY8zX3gxMVTGnDYF/TYKcbPjgHGtwe1VliQjPXdqGXAOP/bCy0mafChSas5WqZNXqwtAvYOC7sO9veLsXzHlDW6UdkBBnjdBRGQ0w7o7O0R3YaYx50xgzBtgpIt28G5qqchI6wYgZUKeNNcvh78/qzRpVWIMakdx3zqlMW7uXn5frHfBloTlbKQeIwGlXwu3zockZ8Ouj8OEA2LfO6ciqlLxh7ipjrGh3u3O8BaQUeJ1iL1PKs2LqwPU/Q4drYOYo+OIqSD/qdFTKITecnkS7+rE89dMqDh/LdDocf6I5WymnxJxiDeV62ftwYIPVKv3naG2VriR5LdGV0S/a3Uq0mALXU40xuUCwd0JSVV5wGFz8Bpw3Ctb/Cu+fpXc9V1FBLuHFy9px6FgWz09c43Q4/kRztlJOEoF2V1h9pZudDb89bnVV3Pe305EFvDrVwgl2SaWMFe1uJXqTiNwlIiH2425A571U3iMC3UbAtT9A6j54rz9smOp0VMoBrepVY0Sfxny1aAdzNux3Ohx/oTlbKV8QUweu/AwGfWBNF/52b5j9qnX/j/KKIJdwSmy4T7VE3wL0BHYCO7Cmkx3hraCUypfUx+onHdsAxl0Bf74OepNZlXP3mc1oVDNSpwR3n+ZspXyFCLS93Oorfeo5MPVJ+OBs2KtX17wlIS7Cd1qijTF7jTFDjDG1jTF1jDFXGWP2ejs4pQCongjDf4WWF8Fvj8F3IyBLhz2rSsJDgnh+YFu2HjjGa1N16KjSaM5WygdF14bBn8LlH8HhrfBOH5j1X22V9oLKGivarT5y9kD9NwGNCr7HGPMv74SlVBGhUXDFJzDrZWvUjv3rrBs3YhOcjkxVkp5N4xncuT7vzdrERafVpXW9WKdD8lmas5XyUSLQ5jJo1Bsm3g/TnoY1P1nTiNdp5XR0AaN+XAR7jqaTlZNLSJC7nS7Kzt09/wjEAlOBXwo8lKo8ItBnJAwZb91o+G4/2DbP6ahUJXrk/JZUjwzh4e9WkJ2jwx+ehOZspXxZdC0Y/Alc8TEc3m61Ss8cBTlZTkcWEBKqR5Br4J8j6V49jruV6EhjzIPGmK+MMd/mPbwamVIlaXE+3DQNwqLh4wth8cdOR6QqSVxkKE9c1JrlO47w8ZwtTofjyzRnK+UPWg+0+kq3vMi6yvr+mfDPSqej8nsJcZGA98eKdrcS/bOInO/VSJQqi1rN4abfrRsPf7obfrlfv8FXERe2q8uZLWrz31/Xsf3gMafD8VWas5XyF1HxcMVHMHgsHN1lXWX94yU9p1VA3oQr3u4X7W4l+m6spJwmIkdFJFlEdAYM5ayI6jDsa+h5Fyx8D8ZeCqk6BFqgExGeubQNLoH/6JTgJdGcrZS/aXWJNa50q0tg+nPw3hnwzwqno/JLdWPDAbw+Qoe7o3PEGGNcxpgIY0w1+3U1r0amlDtcQXDOM3DZe7BzEbzbH3Yvdzoq5WX14iIYOaA5M9ftY/4/OuRdUZqzlfJTUTXh8g+ssaWT/7FapWe8CNk6Y2tZhIcEUSsmjJ2HvXu10u1bFkWkuoh0FZE+eQ9vBqZUmbQbDDdMApMDH5xD3KFlTkekvOyaHo1oVjuaKZv1kmdxNGcr5cdaXmT1lW59Gcx4Ad4/A1IPOB2VX6kZFcrBVO+eH9yqRIvIjcBMYArwlP3zSe+FpVQ5JHS0J2apT/O//wfZGU5HpLwoyCVc3T2RzUdzWb7jsNPh+BTN2UoFgMgaMOg9uHKcNV34z/foZGNlEB0WTGqGd8fgLkuf6C7AVmNMf6ADcNhbQSlVbtG14fyXiEj/B+b9z+lolJcN7JhAaBCMm7fN6VB8jeZspQJFywuh/39gzQRY/qXT0fiNqLBgUjN9oxKdboxJBxCRMGPMWqC598JSqgKanMH+ml1h5stWnzIVsKqFh9C9bjA/LtvJkTTt1lGA5mylAknPO6FhT5g4Eg5ro4E7osOCSfGRlugdIhIH/AD8JiI/Alu9FZRSFbWxyb+s7hzTnnY6FOVlZzQIJj0rl++X7HA6FF+iOVupQOIKgoFvW905vr8VcnWyqdJEhQX5RncOY8xAY8xhY8yTwGPAB8ClXoxLqQpJi6wLPW6DpeNg52Knw1Fe1Cg2iNPqxzJu/jYd7s6mOVupAFQ9Ec57EbbOhnlvOh2Nz4sKCyY1w7ujN520Ei0iNYo+gBXAbCDaq5EpVVF9RkJ0HZj0oH5rD3DDuieyfm8KCzYfdDoUR2nOVirAtR8GLS60rrLuWe10ND4t2u4T7c3GldJaohcDi+yfRR+LvBaVUp4QFgNnPgE7FsKKr52ORnnRRe3qUS08mHHzq3xfQc3ZSgUyEbhoNITHwncjdBSqk4gKC8YYOJbpvdbok1aijTFJxpjG9s+ij8Zei0opTzltKNTrAFOfgIwUp6NRXhIRGsSgTvWZtHI3+1Oq7klFc7ZSVUBUPFw8BvasgOnPOx2Nz4oKCwbwar9onWxFBTaXC857CZJ3w+xXnY5GedGwbg3JyjF8vUhvMATN2UoFtObnQsfr4M/RsHWO09H4pOiwIACvjtChk62owNegK7QdDHPegENbnI5GeUnT2jF0b1yDzxdsJTe3at9gqDlbqSpgwPPWzYbf3wzpR52OxudEhea1RDvUnaMAHbhf+beznrSGCPr1MacjUV40rFsi2w+mMXP9PqdDcZrmbKUCXVg0DHwXjuyAKQ87HY3Piba7czjeEo0O3K/8XWwC9Pq3NePT5plOR6O8ZEDrU4iPDuUzncFQc7ZSVUHDbtDrXvjrM1jzs9PR+JTocN/pE60D9yv/1/MOiG0Ikx+GHO8OwK6cERrsYnDnBvy+dg+7Dqc5HY6TNGcrVVX0fQhOaQc/3QUpe52Oxmfk31joxam/dbIVVXWERMA5z8CelbDkE6ejUV4ytGtDDPDFgqrbGq05W6kqJDgULnvPGoFqwl3WrIbKp7pzICIdReQuoB2wwxiT6bWolPKWVpdAYi/4/VlIO+R0NMoLGtSIpN+ptfhi4XaycqruJDuas5WqQmq3gLOfgnWTYMlYp6PxCT4zxJ2IPA58AtQE4oGPRORRr0WllLeIwLkvQPphmPF/TkejvOTq7onsTc5g6uo9TofiCM3ZSlVBXW+GpL5Wl8WDm5yOxnGRIXlD3Dk/OscwoIsx5gljzBNAd+Aar0WllDfVbWeNr7ngXdi71ulolBf0a16berHhVXkGQ83ZSlU1Lhdc+j9wBcP3t0Cu9yqP/sDlEqJCg5xviQZ2AeEFXocBOz0fjlKV5IxHreGBpjys/ccCUJBLGNq1IbM37Gfz/lSnw3GC5mylqqLY+nDBf2H7fPjzNaejcVxUWLBzlWgReUNEXgeOAKtE5GMR+QhYiY45qvxZVDz0exg2/g7rpjgdjfKCK7s0INglfD6/6gxKoTlbKUXby6H1ZdaU4LuXOR2No6LDgr16Y2FwKesX2T8XA98XWD7DK9EoVZm63AiLPrRao5v0h+AwpyNSHlS7WjjntK7D14t3cN85zQm3+8cFOM3ZSlV1IlZr9La58N0IGDHDGp2qCvJ2S/RJK9HGGB0HTAWuoBDrJsPPBsH8t+H0u52OSHnY1d0SmbjiHyau2M1lHes7HY7Xac5WSgEQWQMuGWOd36Y9bZ3rqqCosCDfGOJOqYDU9Cw49Vz4YxQkV82RHAJZjyY1aRwfxWfzqk6XDqWUAqzzW9cRMO9/sGmG09E4wurO4fzoHEoFrnOeg+x0+P1ppyNRHiYiXNWtIUu2HWb1rqNOh6OUUpXrrKegZjP44TZIO+x0NJXO0RsLiyMip3gjEKUcE98Uut8Cf42DnUucjkZ52OWd6hMW7GJcFbrBsCDN2UpVYaGRcNk7kPwPTBzpdDSVzucq0cBEj0ehlNP6jLRG7Jj8kA55F2DiIkO5sF09fvhrp1f7xvkwzdlKVWUJnaDvg7DiK1j5ndPRVCpvj85Rnkq0eDwKpZwWHgtnPm6NrbnyW6ejUR42rHtDUjNz+OGvKjlUsuZspaq63vdZlemf74Wju5yOptJEhQaTkZ1Ldk6uV/Zfnkr0ex6PQilf0H4Y1D0NfnscMqvkBB0Bq0ODOFrVrca4+dswVe9Kg+Zspaq6oGAY+C5kZ8CPt1eZK65RYdbQpqleurmwzJVoY8z/vBGIUo5zBcG5/wdHd8Kfo52ORnmQiDCse0PW7D7Kkm2HnQ6nUmnOVkoB1v0/A561Jhlb+L7T0VSK6DBrJOeUTO906dDROZQqKLEHtBlkVaIPb3M6GuVBl7RPIDosuMreYKiUUnQebg199+tjsH+909F4XZRdifbWzYVer0SLyLki8reIbBCRh4pZ30dElohItohc7u14lCrV2U8DYnXrUAEjOiyYSzvU4+fluzmUmul0OD5Lc7ZSAUwELnkTQsKt2QxzspyOyKvyW6KdrESLSB0R6Wg/6ri7cxEJAt4EzgNaAUNFpFWRzbYB1wOfu7tfpbwqtj70uhdWfQ9b/nQ6GuVBw7olkpmdy7dLdjgdildpzlZKlSjmFLjwNdi1BGa+7HQ0XuVoS7SItBeRecAM4CX78YeIzBORjm7svyuwwRizyRiTCXwBXFJwA2PMFmPMcsA7t04qVR4974TYBjD5Qcj13mxHqnK1rFuNTonVGTd/G7m5gXdjjeZspZRbWl8K7YbAzFGwY7HT0XjN8RsLnWmJ/hi42xjT0hhzlv1oAdwDfOTG/hOA7QVe77CXKeXbQiOtbh3/rIC/PnU6GuVBV3dvyOb9qczddMDpULzhYzRnK6Xccf5LUK0efHdTwI5Idbw7h3caw4JLWR9ljJlfdKExZp6IRHklohKIyAhgBECdOnWYMWNGmfeRkpJSrvf5s6pYZvBQuU112se2InLyYyw4GE92SLRHYvMW/azdE5VjiA6BV39aRFaHcO8F5oyAydlV4e850MsY6OUD/y9jXKMRtF/2GDs/Hs76U285Yb2/l+9ohnXFcenKNcQnbyh2m4qUsbRK9CQR+QUYy/HWiQbAtcBkN/a/094+T317WZkZY94F3gXo3Lmz6devX5n3MWPGDMrzPn9WFcsMHix3i7fhnb70ypkDZz9f8f15kX7W7rsqYw0fzN5My47dqVMtoCrSAZOzq8Lfc6CXMdDLB4FQxn4QuYeEuWNI6D8cmp1daK2/ly89KwemT6ZuwyT69Wta7DYVKeNJu3MYY+4CxgD9gYftR3/gTWPMHW7sfyHQTESSRCQUGAJMKFekSjmh7mnQ8VpY8A7sW+d0NMpDhnZtSE6u4cuF20vf2I9ozlZKldkZj0GtltYkLMcOOh2NR4UFuwhyiXND3BljJhljbjHGXGQ/bjHGTHRn58aYbOAOYAqwBvjKGLNKRJ4WkYsBRKSLiOwArgDeEZFV5S+OUl5wxmMQEglTHnE6EuUhSfFR9G4Wz/gF27w2HaxTNGcrpcokJBwue9eqQP98T0DNZigiRIUG+d440XZ/t1IZYyYaY041xjQxxjxnL3vcGDPBfr7QGFPfGBNljKlpjGld3piU8oroWtD3QdjwG6z71elolIcM69aQ3UfSmf73PqdDqRSas5VSJarbDvo/Aqt/hOVfOR2NR0WHBXvtxsKKTLYiHotCKV/XdQTUbApTHoZsnagjEJzZsg51qoVVpRkMNWcrpUp2+t3QoDtMvB8OB05Xt6iwYN9riTbGvOPJQJTyacGhMOAFOLABFrzrdDTKA0KCXFzZpSF/rNvH9oPHnA7H6zRnK6VOyhUEA98Gkws/3Aq5gdHVLSosmNRMH6tEi8gNngxEKZ936jnQ9Gz44/8gpWp0AQh0Q7s2QIDPF2xzOhSv05ytlCpVjSQ49wXYMgvmv+V0NB5hdefwsUo08JTHolDKXwx4HrKOwe/POB2J8oC6sRGc2bIOXy3cTmZ2YLS6nITmbKVU6TpcA83Ph6lPEZXi/93dosIcurFQRJaX8FgB1PFKREr5slqnQtebYclY2L3M6WiUBwzr1pADqZlMXvWP06FUmOZspVSFicBFr0NYDC3XvArZGU5HVCFWn2hnbiysgzVI/0XFPAJyzlylStX3AYisCZMeCqihgKqqPs1q0aBGBOPm+X+LC5qzlVKeEF0LLn6D6NTNMOMFp6OpkBgHu3P8DEQbY7YWeWwBZnglIqV8XUQcnPkYbJsDq753OhpVQS6XcFXXROZvPsj6PclOh1NRmrOVUp7R4nx2n3IW/Dkats51Oppyyxudw3ih0au0GQuHG2Nml7DuKo9Ho5S/6HANnNIWfnscMgN/ZIdAN7hzfUKChHHz/fsGQ83ZSilP2tB0OMQ2gO9vhgz/bGSICgsmO9eQ4YX7XipyY6FSVZcrCM79PziyHea84XQ0qoJqRodxXpu6fLtkB8e8NBSSUkr5m5zgSGs2wyPbYfLDTodTLtFhwQBeublQK9FKlVej06H1QJj9akANTF9VXd09keT0bH5ettvpUJRSync07G5NxPLXp7D2F6ejKbOo/Eq0528u1Eq0UhVx9tOAgalPOB2JqqAujapzap1oPqs6MxgqpZR7+j0CddrChLv8bp6E6LAgAK/cXKiVaKUqIq6h9Q195bewdY7T0agKEBGGdUtk+Y4jLN9x2OlwlFLKdwSHWt06MpLhp7v8amSqvJZorUQr5YtOvxuqJcCkByHXO2NRqsoxsGMCESFBjJvn3zcYKqWUx9VpBWc9AX9PtLp2+Iko7ROtlA8LjbK6dfyzHJaOczoaVQHVwkO4pH09JizbxZG0LKfDUUop39LtVmjU27rJ8OBmp6NxS7S2RCvl49oMggbdYdrTcHSX09GoChjWLZG0rBy+X7LD6VCUUsq3uFxw6VsgLmvYu6w0pyMqlbZEK+XrROC8/7P6i73R2Rqxw8+nSq2q2taP5bT6sYybv80rg/MrpZRfi2sAF74K2+fDe2fCvr+djuikokO1JVop31evPdw2Fxr3halPwv96wLpfnY5KlcOwboms35vCgs0HnQ5FKaV8T9vLYdi3kLIH3u0HSz93OqISRdmjc+gQd0r5uhqNYeh4K7mICz6/AsYNhgMbnY5MlcFFp9UjJjzY72cwVEopr2l2FtwyGxI6wQ+3wve3QEaK01GdIDjIRViwi1QvTKSllWilvKHZWXDrHDjnWWvouze7wW9P+GSCUSeKCA1iUMf6TFq5m/0p2i1HKaWKVa0uXPujNY708i+tVul/Vjgd1Qmiw4K1O4dSfiU4FHreCXcugrZXwJ+vwZjOsPwrvxpjs6q6untDsnIMXy/SGwyVUqpEriDo9yBcO8G6L+i9M2HhBz51nosKC9YbC5XySzGnwMC3YPhU6/l3N8GH58LuZU5Hpk6iae0YuiXV4PMFW8nN9Z2TgVJK+aSk3lb3jqTe8Mu/4evrIf2I01EBWolWyv816AI3/g4XvwEHNsA7feGneyD1gNORqRJc3T2R7QfTmLnev6a5VUopR0TXgqu+hrOegjU/wdu9Yedip6MiOixIu3Mo5fdcLuh4Ldy5GLrfCkvGwhsdYP67kOP5f3BVMQNan0J8dCif6QyGSinlHpcLet0D/5oMJhc+GABz33S0e4fVEq2jcygVGCLi4NwXrJsP67aHSSPhnT6weZbTkakCQoNdDO7cgN/X7mHXYd+fVEAppXxGg65w80w4dQBMeQTGD4Vjzgwbqt05lApEtVtYdzYP/hQyk+GTC61+ZIe3Ox2Zsg3t2hADfLFAW6OVUqpMImvAlZ/BeS/Bxmnwdi/YOrfSw4gO1dE5lApMItDqYrh9gTVM0N+TYEwX+OMlyEp3Oroqr0GNSPqdWosvFm4nKyfX6XCUUsq/iEC3m2H4rxAUCh9fALP+C7mVl0+91RId7PE9OiQrK4sdO3aQnl5ypSM2NpY1a9ZUYlTOq4plBj8ud52LYeD5kHYYso7Bkj8hojqERJT61oqUOTw8nPr16xMSElKu9we6Yd0SuXHsIqau3sN5bes6HU5AKC1n++3/cBkEQhk1dyi31etgde/4+R6Y9rTVffGydyG6ttcPHR0WRGpmDrm5BpdLPLbfgKlE79ixg5iYGBo1aoRI8b+g5ORkYmJiKjkyZ1XFMkOAlDsjGY7sgOx0CAuBavUhJLzEzctbZmMMBw4cYMeOHSQlJVUk4oDVv0Vt6sWGM27+Nq1Ee0hpOTsg/odL4e9l1Nyhyiy8Ggz6AJL6wqQHrO4dl70Ljft59bBRYVZ191hWDtFhnqv6Bkx3jvT0dGrWrFliBVopvxMWA7VaWJXnzGOwby0c2Qm5nr0kJSLUrFnzpFdxqroglzC0a0Nmb9jP5v2pTocTEDRn+z/NHapcRKDTdXDT7xAeB2Mvhd+f8+oIVXmVaE936QiYSjSgyVgFHhFr3M3aLa0bNFL3wt41cOyAR4cL0v+d0l3ZpQHBLuHz+VudDiVg6N+d/9PPUJVbndYwYjq0HwYzX4KxF8PRXV45VF7rs6dvLgyoSrRSASsoBOIaQnxzCAqDw9tg/zrI1FbRylK7WjjntK7D14t3kJ7l+fFGlVKqygmNgkvfhIHvwq6l8NbpsO5Xjx9GW6L9QM+ePcu0/fXXX88333zj1rYzZszgwgsvPGF5v379aN68OaeddhpdunRh6dKlxb4/OzubRx55hGbNmtG+fXvat2/Pc889V6Z4K2rt2rX06NGDsLAwXn755ZNuu3TpUkSEyZMn5y/bsmULbdq0KbTdk08+mb+v66+/nqSkJNq3b0/Pnj2ZNm1a/nYn+z01atSItm3b0q5dO/r27cvWrcdbGseOHUubNm1o27YtHTp0KDXugl544QWaNm1K8+bNmTJlSrHbDB8+nNNOO4127dpx+eWXk5KSAsArr7xCq1ataNeuHWeeeWZ+TFt376PjgCG0P/daWve6gLdfeR4ObYWcLL7++uv8cpx77rns378fgCuvvDL/M2/UqBHt27d3uwyqsGHdEjl8LIuJK3Y7HYryAKdzdt++fQMmZytVIaddCTf/AdUS4PMr4NdHISfLY7uPCgsCtCXap82ZM8eR444bN45ly5Zx2223MXLkyGK3efTRR9m1axcrVqxg6dKlzJo1i6ysE/9AjTHkemnYmRo1avD6669z//33l7rt+PHj6dWrF+PHjy/TMUaNGsXSpUt58cUXueWWWwqtO9nvafr06Sxfvpx+/frx7LPPAjBp0iRee+01fv31V1asWMG8efOIjY11K47Vq1fzxRdfsGrVKiZPnsxtt91GTs6JrZevvvoqy5YtY/ny5TRs2JAxY8YA0KFDBxYtWsTy5cu5/PLLeeCBBwCoW7cuc+fOZenyFcxfuJgX3xrLrs1/k71rBQ89+ADTp01j+fLltGvXLn9fX375JUuXLmXp0qUMGjSIyy67rEy/U3VczyY1aRwfxWfztEtHIHA6Z990000Bk7OVqrD4ZnDjVOhyI8x5Az4812PdO6LzW6I9exUxYEbnKOipn1axetfRE5bn5OQQFBRUrn22qleNJy5qfdJtoqOjSUlJYcaMGTzxxBPExcWxYsUKBg8eTNu2bRk9ejRpaWn88MMPNGnSBICpU6fy4osvcvToUV555ZViWy7c1aNHD0aNGnXC8mPHjvHee++xZcsWwsOt0R1iYmJ48sknAauFd8CAAXTr1o3FixczceJExowZw6RJkxARHn30Ua688kpmzJjByy+/zM8//wzAHXfcQefOnbn++utp1KgRgwcPZtKkSURERPD555/TtGnTQnHUrl2b2rVr88svv5y0HMYYvv76a3777Td69+5Nenp6ftzu6tq1Kzt37izT7ylv3euvvw5YLckvv/wy9erVAyAsLIybbrrJreP/+OOPDBkyhLCwMJKSkmjatCkLFiygR48ehbarVq0aYJU5LS0tv39h//7987fp3r07n332GQChoaH5yzOyssk1AjWbYkIyMbk5pG5dSs3IDhw9cuSE378xhq+++orff//drTKoE4kIV3VryLO/rGH1rqO0qlfN6ZACQnE5uyL5GvwjZ3ft2pU33njjhOX+lrOV8piQcLjgv9CoN/x4O3w3Aq77ybo/qAK0O4efWbZsGW+//TZr1qzh008/Zd26dSxYsIAbb7yxUNLcsmULCxYs4JdffuGWW26p0F3OkydP5tJLLz1h+YYNG2jYsOFJh1Jav349t912G6tWrWLRokUsXbqUZcuWMXXqVEaOHMnu3aVfvo6NjWXFihXccccd3HPPPeUux5w5c0hKSqJJkyb069evXAl86tSpxf4uoOTfU9F1K1eupFOnTsVuN2rUqPxLrAUfd911FwA7d+6kQYMG+dvXr1+/xEr9DTfcwCmnnMLatWu58847T1j/wQcfcN555+W/3r59O+3ataNBgwY8+OCD1EtsTMgpLXjtv6Noe8Zl1GvSitXLFzN86MBCNx/OmjWLOnXq0KxZs2LjUO65vFN9QoNdjNMbDAOKEzn7t99+C4icrZTHtb4UBjwHW2bB4o8rvDtv3VgYkC3RJbU+VOaYnF26dKFuXWs82SZNmnDOOecA0LZtW6ZPn56/3eDBg3G5XDRr1ozGjRuzdu3aMvdZHTZsGJmZmaSkpJTYv66gjz76iNGjR3PgwIH8y5mJiYl0794dgNmzZzN06FCCgoKoU6cOffv2ZeHChfmtpiUZOnRo/s977723TGUoaPz48QwZMgSAIUOGMHbsWAYNGlTiXeAFl48cOZJHHnmEHTt2MHdu4alFT/Z76t+/PwcPHiQ6Oppnnnmm1BhHjhxZ4mXYsvroo4/Iycnhzjvv5Msvv+SGG27IX/fZZ5+xaNEi/vjjj/xlDRo0YPny5ezatYtLL72Uyy+/nBo1avDex5/x119LaZwQz5133M4LzzzJo/ffATGnQHgc48ePz/+MVPnFRYZyYbu6/PDXTh4+v6VHxxytqorL2ZU9hrITOTs5OZlly5aVur2v52ylvKLjdbDyW/j1MWh2DsQmlHtX2hLtZ8LCwvKfu1yu/Ncul4vs7OMfYtGKYXmGCxo3bhybNm3iuuuuK7Yls2nTpmzbto3k5GTAavlcunQpsbGx+f10o6KiSj1OcHBwob53RVtgCsZe3mGPcnJy+Pbbb3n66adp1KgRd955J5MnTyY5OZmaNWty6NChQtsfPHiQ+Pj4/NejRo1i3bp1PPXUU/zrX/8qtO3Jfk/Tp09n69attG/fnieeeAKA1q1bs3jx4mLjLK0lOiEhge3bt+dvv2PHDhISSk4AQUFBDBkyhG+//TZ/2dSpU3nuueeYMGFCob+nPPXq1aNNmzbMmjUr/0tBk6ZNkYg4Bl87gjnL1lkbHtpC9u5VfPfdt1w5eHCJMSj3Xd09kbSsHBZsPuB0KMpDnMjZV111ld/nbKW8RgQueh1MDvx8b4WGdY0MsbqGaSU6wHz99dfk5uayceNGNm3aRPPmzcu1HxHhmWeeYd68eaxdu7bQusjISIYPH84dd9yRn0RzcnLIzMwsdl+9e/fmyy+/JCcnh3379jFz5ky6du1KYmIiq1evJiMjg8OHDxca/QKsG9jyfhbt++uuadOm0a5dO7Zv386WLVvYunUrgwYN4vvvvyc6Opq6devm9+k9ePAgkydPplevXifs5+abbyY3N/eEUTFO9nsKDg7mtddeY+zYsRw8eJCHH36YkSNH8s8//wCQmZnJ+++/D1gt0Xk36xV85PWnvvjii/niiy/IyMhg8+bNrF+/nq5duxY6njGGDRs25D+fMGECLVq0AOCvv/7i5ptvZsKECdSufXxK1B07dpCWlgbAoUOHmD17Ns2bNychIYG1a9eyb98+AH6bOpWWbdpZk7XEJTL1jz9p0bgB9cPTrJkQVYV0aBDHnIfO5IwWdZwORVUyT+bsRx991O9ztlJeVSMJzngM1k+BFe6NjFMcl0tY8eQ53H3WqR4MLkC7c/iThg0b0rVrV44ePcrbb7990hvopk2bRv369fNff/3114XWR0REcN999zFq1Cg++OCDQuuee+45HnvsMdq0aUNMTAwRERFcd9111KtXj127Ct/9OnDgQObOnctpp52GiPDSSy9xyimnANalzDZt2pCUlESHDh0Kve/QoUO0a9eOsLCwYkfV+Oeff+jcuTNHjx7F5XLx2muvsXr16kKXHMePH8/AgQMLvW/QoEG89dZbXHvttYwdO5bbb7+df//73wA88cQT+Tf8FJR3gnrppZcYMGCA27+nunXrMnToUN58800ee+wx9uzZw1lnnYUxBhE5oXW7JK1bt2bw4MG0atWK4OBg3nzzzfybpM4//3zef/99TjnlFK677jqOHj2KMYbTTjuNt956C7Aq6SkpKVxxxRWA9XcyYcIE1qxZw3333YeIYIzh/vvvp23btgA89NBD9OnTh5CQEBITE/n444+tb/KRNfhiyhyGDhkKOZlwYAOERkO1etYYnarMRIRTYst2s6sKDJqzV5faTUQpj+p2M6z6zpomvHE/awKycogJD/FsXIAYD856Vlk6d+5sFi1aVGjZmjVraNmy5UnfV9l97HxBZZW5UaNGLFq0qFDXCifpZ12C3Fw4th9S9ljTh4dVg5i6EBrp1v+QL5oxYwb9+vVzOgy3ichiY0xnp+OoTOXJ2VXhf9jJMnoyZ5f0Wfrb/2Z5BHoZfaZ8e9fCO72hxYVwxUce3bU7ZSwpb2t3DqWqEpcLomtD7VZW5TkzFfb/DQc3eXRge6WUUspjareAPg9YLdJrfWfIRe3O4WOmTJnCgw8+WGhZUlIS33//vUMRuWfLli1Oh6DKwhVkjdoRFQ8p+yB1LyT/A9+NgX4PQY3GTkeolF/QnK1UJel1D6z+EX7+NySeDhFxTkeklWhfM2DAgBP68CrlNa5gqFYXomrB7mOweoJ180aHq6HvAxBbv/R9VFV5XeF0VIMqTXO2UpUkKAQuGQPvnWFNC37JmLK9PzfXuhrrQdqdQykFQcHWt/q7l0KX4bD0c3i9A0x6EFL2Oh2d78jJhs0zrd/La+1g39rS36OUUsoz6rWHnnfCX5/Cxumlbp4vJxv+1x3mv+vRcLQSrZQ6LuYUOH8U3LUE2l0JC96D0afBb0/AsYNOR+eMjBTrEuJ3N8OoJvDJRbDoI6jTSvuRK6VUZev3ENRsCj/dZeVnd2z4zbr/J+YUj4ai3TmUUieKa2hdKut1L8x4Af4cDYs+hB63Q/fbIDzAh7hK3gPrJsHaibBpBuRkQER1aH4eND8fmpwBYdFOR6mUUlVPSARcPAY+Og9+fxbOe7H09yz6CKLrWDncg7QSrZQqWc0mMOh9qzI9/XmrQj3/bTj9Hug6AkIjnY7Qc/avh7U/WxXnHQsBY32Z6DLcqjg37GF1e1FKKeWsxB7Q9SbrfNR6IDTsVvK2h7dbLdG9/m31q/Yg7c7hQT179izT9tdffz3ffOPeDDwzZszgwgsvPGF5v379aN68OaeddhpdunTJn/65qOzsbB555BGaNWuWP0X1c889V6Z4K2rcuHG0a9eOtm3b0rNnT5YtW1bitkuXLkVEmDx5cv6yLVu20KZNm0LbPfnkk7z88suA9ftMSkqiffv29OzZs9DsXCf7PTVq1Ii2bdvSrl07+vbty9atW/PXjR07ljZt2tC2bVs6dOiQfyx3vPDCCzRt2pTmzZufMHNinjFjxtC0aVNEhP379+cvX7t2LT169CAsLOyEY44ePZo2bdrQunVrXnvttULr3njjDVq0aEHr1q154IEHADhw4AD9+/cnOjqaO+64w+34C6nTGoaMg5umQ0InmPqE1c1j/juQnVG+fTotNxe2L7C6qrzRGcZ0hqlPWq3O/R+BW/6Eu5fDuS9AUm+tQAcgp3N23759AyZnK1Xpznzcuvl9wh2QlV7ydkvGWjeCd7rO4yFoJdqD5syZ48hxx40bx7Jly7jtttsYOXJksds8+uij7Nq1ixUrVrB06VJmzZpFVtaJ/TmNMeTm5nolzqSkJP744w9WrFjBY489xogRI0rcdvz48fTq1avYWbROZtSoUSxdupQXX3yRW265pdC6k/2epk+fzvLly+nXrx/PPvssAJMmTeK1117j119/ZcWKFcybN4/Y2Fi34li9ejVffPEFq1atYvLkydx2223k5OScsN3pp5/O1KlTSUxMLLS8Ro0avP7669x///2Flq9cuZL33nuPBQsWsGzZMn7++ef8qcNnzpzJjz/+yLJly1i1alX+e8PDw3nmmWfK9AWgRAkd4epv4YZJEN/MmkHq9Y4w40VrVI8di32773RWOqybAhPugv82hw/OhrljIDYBzn8Z7l0FN8+0RiY5pY2OvBHgnM7ZN910U8DkbKUqXVgMXDQa9q+DaU8fHzGpoJxs6ybEpmdZVxY9LDCbViY9BP+sOGFxRE52+VuTTmlbar+b6OhoUlJSmDFjBk888QRxcXGsWLGCwYMH07ZtW0aPHk1aWho//PBD/lTVU6dO5cUXX+To0aO88sorxbZcuKtHjx6MGjXqhOXHjh3jvffeY8uWLflT1MbExPDkk08CVgvvgAED6NatG4sXL2bixImMGTOGSZMm5U+ffeWVVzJjxgxefvllfv75ZwDuuOMOOnfuzPXXX0+jRo0YPHgwkyZNIiIigs8//5ymTZsWiqNgq0/37t3ZsWNHseUwxvD111/z22+/0bt3b9LT0086tW5xunbtys6dO8v0e8pb9/rrrwNWS/LLL79MvXr1AAgLC+Omm25y6/g//vgjQ4YMISwsjKSkJJo2bcqCBQvo0aNHoe2KTsObp3bt2tSuXZtffik8qPyaNWvo1q0bkZFWN4q+ffvy3Xff8cADD/DBBx/w0EMPERYWlr8PgKioKHr16pVf2faIxJ5w/S+wafrxbh4FhcdC9SSokWSNOV3wefQpHh9m6KSOHYT1v1oD9G+YBlmpEBoDzc6yZr9qepZPjDdapRWTsyuUr8EvcnbXrl154403TljubzlbKcc0PRM6/wvmvQmHtlj38kTWOL5+3WRI3g0X/Ncrhw/MSrQPWLZsGWvWrKFGjRo0btyYG2+8kQULFjB69GjeeOON/MvwW7ZsYcGCBWzcuJH+/fuzYcOGMlcY80yePJlLL730hOUbNmygYcOGJ51edv369XzyySd0796db7/9lqVLl7Js2TL2799Ply5d6NOnT6nHj42NZcWKFYwdO5Z77rknP3EX54MPPuC884rv4D9nzhySkpJo0qQJ/fr145dffmHQoEGlHr+gqVOnFvu7gJJ/T0XXrVy5kk6dOhW73ahRoxg3btwJy/v06cPrr7/Ozp076d69e/7y+vXrl1ipL4s2bdrwn//8hwMHDhAREcHEiRPp3NmaiXTDhg3MmjWL//znP4SHh/Pyyy/TpUuXCh+zRCLWDXZNzoDMY1YCO7QZDm62f26CXUutsadNgVb44HCo3siuWDe2Ktd5ley4hp7ps3ZoK/w90ao4b51jHT+mLpx2JTS/wOqeERxW8eOogOFEzv7tt98CImcr5agLXoGazeC3x+Gt0+Gyd60cD7D4Y4ipB828M5a71yvRInIuMBoIAt43xrxYZH0YMBboBBwArjTGbKnQQUtofUhLTj5pUvKkLl26ULduXQCaNGnCOeecA0Dbtm2ZPv342IaDBw/G5XLRrFkzGjduzNq1a2nfvn2ZjjVs2DAyMzNJSUkpsX9dQR999BGjR4/mwIED+ZczExMT8yt9s2fPZujQoQQFBVGnTh369u3LwoULqVbt5CMyDB06NP/nvffeW+J206dP54MPPmD27NnFrh8/fjxDhgwBYMiQIYwdO5ZBgwYhJVxaL7h85MiRPPLII+zYsYO5c+cW2u5kv6f+/ftz8OBBoqOjeeaZZ05azrzjlHQZ1ptatmzJgw8+yDnnnENUVBTt27cnKCgIsPpQHjx4kHnz5rFw4UIGDx7Mpk2bSvy9eVRopDXkW51WJ67LyYYj261KdX4le4v1etMMyE47vq0EWX3cirZg5/0MjSr++MbAP8utmwLX/gJ77FbNWi2tWa6aXwD1OlRuC7if8pWcXZn5GpzJ2cnJyW71M/b1nK2Uo0Sgx23WFdJvh1vDkPa5H9pfBRumWt3zvHRPi1cr0SISBLwJnA3sABaKyARjzOoCmw0HDhljmorIEOD/gCu9GVdlyLukDuByufJfu1wusrOz89cVreCUp8Izbtw4OnXqxMiRI7nzzjv57rvvCq1v2rQp27ZtI9k+Kd1www3ccMMNtGnTJr+fblRUCZWTAoKDgwv1vUtPL9yRv2DsJZVj+fLl3HjjjUyaNImaNWuesD4nJ4dvv/2WH3/8keeeew5jDAcOHCA5OZmaNWty6NChQtsfPHiQpKSk/NejRo3i8ssvZ9SoUfzrX/9i8eLF+etO9nuaPn06cXFxDBs2jCeeeIJXXnmF1q1bs3jxYs4444wT4iytJTohIYHt27fnL9+xYwcJCQnF/k7Kavjw4QwfPhyARx55hPr1rVkF69Wrx2WXXYaI0LVrV1wuF/v376dWrVoeOW65BQXbleKkE9cZAyl7rIp1wUr2wU2w6ntIK/x5E12ncNeQ2Po0Xf8z/HWHVVEXFzToDuc8a42oUbNJ5ZQxQGjOtlRWzr777rv9Pmcr5TPqtYcRf1iTYc0cBQvetSrYHa/12iG93SzTFdhgjNlkjMkEvgAuKbLNJcAn9vNvgDOlUprOfMPXX39Nbm4uGzduZNOmTTRv3rxc+xERnnnmGebNm8fatYVnUYuMjGT48OHccccd+Uk0JyeHzMzMYvfVu3dvvvzyS3Jycti3bx8zZ86ka9euJCYmsnr1ajIyMjh8+HCh0S8Avvzyy/yfRfv+Amzbto3LLruMTz/9lFNPPbXYY0+bNo127dqxfft2tmzZwtatWxk0aBDff/890dHR1K1bl99//x2wKtCTJ0+mV69eJ+zn5ptvJjc394RRMU72ewoODua1115j7NixHDx4kIcffpiRI0fyzz//AJCZmcn7778PWC3RS5cuPeGR15/64osv5osvviAjI4PNmzezfv16unbtWmyZy2rvXmsGwW3btvHdd99x1VVXAXDhhRfmt5itW7eOzMxM4uPjPXJMrxGxBr9P7AEdhsEZj8LlH8CI6fDgFnhwK4yYAZd/CGc8Bs3OtqYq3/QHTH8OfriVurt/s/q/XvIm3L8e/jXJmtFKK9DloTm7FJ7M2Y8++qjf52ylfEpYNFz6Jgz6wGqkaXGBdXXTS7zdnSMB2F7g9Q6g6GB++dsYY7JF5AhQE9hfcCMRGQGMAKhTpw4zZswotJPY2FiSk5NPGkxOTk6p21RUcnIyx44dIzs7O/9YOTk5pKamnrAuKyuLunXr0rlz5/ybVLKysoq9A/vYsWNMmzatUGvmJ598UmjfYN048vzzz/Pmm28WKvNDDz3Es88+S6tWrYiJiSE8PJwhQ4YQExPD7t27yc3Nzd/HWWedxR9//EHbtm0REZ566qn8Vo9LL72UVq1akZiYSNu2bUlPTyc5ORljDHv27KFNmzaEhoby4YcfnvC7fuyxxzhw4ED+qBnBwcH88ccfhbYZO3Ys5513XqH3nn/++bz//vsMHDiQt956i/vuu4977rkHgAceeIDatWvn/z7T0tJITk4mNzeX++67jxdeeIGePXue9PdkjCElJYWwsDCio6MZNGgQr7zyCg8++CA33ngjZ5xxBsYYRIRrrrnGrb+hhg0bcskll9CiRQuCg4MZNWoUx44dA2DQoEGMGTOGunXr8tZbbzF69Gj27NlD27ZtOeeccxgzZgx79uyhb9++JCcn43K5ePXVV1mwYAHVqlXj0ksv5eDBg4SEhDBq1CiCgoJITk7mqquu4s4776RVq1aEhoby1ltvkZJizebUpk0bjh49SlZWFt9//z0//PADLVq0KBRzenr6Cf9XvqOm9YjtDLFAErhyMgjL2MfBrHAiYuPhCLBwpcNx+j2fydmVka/B2ZwdGhp6Qs7O4y85G0rOHXk3bQayQC+j/5YvnqAu72AkiNxS4q9QGY0xXnsAl2P1qct7fQ0wpsg2K4H6BV5vBOJPtt9OnTqZolavXn3CsqKOHj1a6jaBprLKnJiYaPbt21cpx3KHftZl587/kC+aPn260yGUCbDIeDHvVuThSzm7KvwPO1lGT+bskj5Lf/vfLI9AL2Ogl88Y98pYUt72dneOnUCDAq/r28uK3UZEgrHamQ54OS6llFIn0pytlFJu8nZ3joVAMxFJwkq8Q4CrimwzAbgOmIvVCvK7XeuvkqZMmcKDDz5YaFlSUhLff/+9QxG5Z8uWLU6HoJSqOM3ZZaQ5W6mqy6uVaGP1l7sDmII1XNKHxphVIvI0VtP4BOAD4FMR2QAcxEraVdaAAQMYMMA74xkqpdTJaM4uO83ZSlVdXh8n2hgzEZhYZNnjBZ6nA1d46FiVMyauUgGmCjckqiI0Z6uy0NyhqrKAmXkgPDycAwcO6D+0UmVk7LG4yzvrmlLloTnb/2nuUFVdwEz7Xb9+fXbs2MG+fftK3CY9Pb3K/bNXxTJD1Sx3RcocHh6eP2mLUpWhtJxdFf6HA6GMmjtUVRYwleiQkJBCM9cVZ8aMGXTo0KGSIvINVbHMUDXLXRXLrPxXaTm7Kvw9V4UyKhXIAqY7h1JKKaWUUpVFK9FKKaWUUkqVkVailVJKKaWUKiPxxzujRWQfsLUcb40H9ns4HF9XFcsMVbPcVbHM4H/lTjTG1HI6iMpUzpztb59reQR6GQO9fBD4ZQz08oF7ZSw2b/tlJbq8RGSRMaaz03FUpqpYZqia5a6KZYaqW+5AVxU+10AvY6CXDwK/jIFePqhYGbU7h1JKKaWUUmWklWillFJKKaXKqKpVot91OgAHVMUyQ9Usd1UsM1Tdcge6qvC5BnoZA718EPhlDPTyQQXKWKX6RCullFJKKeUJVa0lWimllFJKqQoLuEq0iJwrIn+LyAYReaiY9WEi8qW9fr6INHIgTI9zo9z/FpHVIrJcRKaJSKITcXpSaWUusN0gETEiEhB3GLtTbhEZbH/eq0Tk88qO0dPc+PtuKCLTReQv+2/8fCfiVGXnxmd7vYjsE5Gl9uNGJ+KsiED/n3XjM3y1wOe3TkQOOxBmhQR6DnKjfIl23WG5iMwQkfpOxFleIvKhiOwVkZUlrBcRed0u/3IR6ejWjo0xAfMAgoCNQGMgFFgGtCqyzW3A2/bzIcCXTsddSeXuD0Taz2/193K7U2Z7uxhgJjAP6Ox03JX0WTcD/gKq269rOx13JZT5XeBW+3krYIvTcevDY5/t9cAYp2P1chn99n/W3VxcYPs7gQ+djtsLn6Hf5iA3y/c1cJ39/AzgU6fjLmMZ+wAdgZUlrD8fmAQI0B2Y785+A60luiuwwRizyRiTCXwBXFJkm0uAT+zn3wBniohUYozeUGq5jTHTjTHH7JfzAL/6FlkMdz5rgGeA/wPSKzM4L3Kn3DcBbxpjDgEYY/ZWcoye5k6ZDVDNfh4L7KrE+FT5uft/7M8C/X+2rJ/hUGB8pUTmOYGeg9wpXyvgd/v59GLW+zRjzEzg4Ek2uQQYayzzgDgRqVvafgOtEp0AbC/weoe9rNhtjDHZwBGgZqVE5z3ulLug4VjfuPxZqWW2L8c0MMb8UpmBeZk7n/WpwKki8qeIzBORcystOu9wp8xPAleLyA5gIlZrl/J97uauQfYl1m9EpEHlhOYxgf4/6/b5x+5GmMTxypi/CPQc5E75lgGX2c8HAjEi4u91p4LKWo8CAq8SrUohIlcDnYFRTsfiTSLiAl4B7nM6FgcEY10e7ofV6vOeiMQ5GVAlGAp8bIypj3VZ7lP7b0D5v5+ARsaYdsBvHL+SGEiqyv/sEOAbY0yO04F4QaDnoPuBviLyF9AX2AkE4udYJoH0AYP1oRZspahvLyt2GxEJxrrscqBSovMed8qNiJwF/Ae42BiTUUmxeUtpZY4B2gAzRGQLVh+nCQFwc6E7n/UOYIIxJssYsxlYh3WC9lfulHk48BWAMWYuEA7EV0p0qiJK/WyNMQcK5Kv3gU6VFJunBPr/rFvnH9sQ/K8rBwR+DnLn/3CXMeYyY0wHrHoExpjDlRah95Xl7zhfoFWiFwLNRCRJREKx/mEnFNlmAnCd/fxy4Hdj9yr3Y6WWW0Q6AO9gVaD9qb9dSU5aZmPMEWNMvDGmkTGmEVY/8IuNMYucCddj3Pkb/wGrRQsRice6VLypEmP0NHfKvA04E0BEWmKdwPZVapSqPNzJXQX7JV4MrKnE+Dwh0P9n3SkfItICqA7MreT4PCHQc5A7/4fxBVrWHwY+rOQYvW0CcK09Skd34IgxZndpbwr2flyVxxiTLSJ3AFOw7jb90BizSkSeBhYZYyYAH2BdZtmA1cl8iHMRe4ab5R4FRANf2/dRbjPGXOxY0BXkZpkDjpvlngKcIyKrsS63jTTG+O3VFjfLfB/WJfB7sW7wuT4AvhwHPDc/27tE5GIgGytnX+9YwOUQ6P+zZcjFQ4Av/PH/MtBzkJvl6we8ICIGa8Sr2x0LuBxEZDxWGeLtfutPACEAxpi3sfqxnw9sAI4BN7i1Xz/5jJVSSimllPIZgdadQymllFJKKa/TSrRSSimllFJlpJVopZRSSimlykgr0UoppZRSSpWRVqKVUkoppZQqI61EK58gIjkislREVorIT6XN1iUit4jIteU4TpyI3FbgdT0R+aYcIRe37xki8reILBORhSLSviyxKKWUE0TkPyKyyp5afamIdCtl+49F5PJyHKeRiFxV4HVnEXm9PDEX2e98O+5tIrLPfr7UPl5KRfdfzPGuF5ExZXzPFnsM8KLLnxSR+z0XnapMWolWviLNGNPeGNMGayzYk45BaYx52xgzthzHiQPyK672LExlPhmcxDBjzGnA/yh9avVCsSilVGUTkR7AhUBHe2r1s4DtXjpcIyC/Em2MWWSMuauiOzXGdDPGtAceB760zyXtjTFb3Hm/PXuxUmWmlWjli+YCCQAi0kREJovIYhGZZc96Vejb+0m2qSMi39stw8tEpCfwItDEbqUYZbdUrLS3DxeRj0RkhYj8JSL97eXXi8h39jHWi8hLZSxDtIhME5El9r4vsbcpFIu97Ui7FXu5iDzlod+nUkqVpC6wP29qdWPMfmPMLgAR6SQif9i5dYoUnj2Sk20jIk1FZKqde5eISBOsnNfbznn3ikg/EfnZ3r6GiPxg5755ItLOXv6kiHxoX+nbJCJlrnSLyHN2HPNEpI697GMReVtE5gMvneQ8coVYV0iXicjMArutV9w5QUSG2nl+pYj8Xwnx/EdE1onIbKB5WcujfIgxRh/6cPwBpNg/g4CvgXPt19OAZvbzbljTtAM8CdxfyjZfAvcU2G8sVkvIygLHzX+NNePUh/bzFljTuIZjzZC2yX5/OLAVaFBMGWYAne3n9wDP28+DgWr283isGZGkmFjOAd6117mAn4E+Tn82+tCHPgL3gTWT7VJgHdYVtL728hBgDlDLfn1lgfz4MXB5KdvMBwbaz8OBSKwZ434ucOz818AbwBP28zOApfbzJ+1jhNn58wAQUkJZrgfGFFlmgIvs5y8BjxYow89AkP26pPPICiDBfh5X4DgnnBOAevZ5o5ad938HLrXfs8WOv5O9z0igmn0+uN/pvwN9lO+hlzCUr4gQkaVYrbdrgN9EJBroyfGpysFKpPlK2eYM4FoAY0wOcEREqp8khl5YiRxjzFoR2Qqcaq+bZow5Yh9zNZBI8Zc8x4lIKNaJqX1emMDzItIHyLXLWKeY955jP/6yX0cDzbCmWFVKKY8zxqSISCegN9Af+FJEHgIWAW2wcjFYDRG7i7y9eXHbiEgMVsXze/sY6QAFcnRxegGD7O1/F5GaIlLNXveLsVrKM0RkL1b+3OFmETOxKssAi4GzC6z72hiTU8p55E/gYxH5CviuwHuLOyfUBGYYY/bZy8cBfYAfCryvN/C9MeaYvc0ElN/SSrTyFWnGmPYiEglMweoT/TFw2Fh93UricmMbT8go8DyHkv93hmEl6lFYFfLL7GW1gE7GmCwR2YLVelGUAC8YY97xVNBKKVUau5FhBjBDRFYA12HlsVXGmB4neasUt41difYkd/NvcbKMsZqCi3lvqv2zxPOIMeYWsW60vABYbH/hqGhMKkBon2jlU+xv53dhda04BmwWkSsAxHJake2PnmSbacCt9vIgEYkFkoGSEvwsrAovInIq0BD4uxxlMMBjQHe7X10ssNeuQPfHarGgmFimAP+yW0UQkQQRqV3W4yullLtEpLmINCuwqD1W94S/gVpi3XiIiISISOsiby92G2NMMrBDRC61l4fZDSTu5t9+WP20j1a8hKU72XlERJoYY+YbYx4H9mF12yjJAqCviMSLSBAwFPijyDYzgUtFJML+snGRp8ujKo9WopXPMcb8BSzHSkDDgOEisgxYBVxScFP7Z0nb3A30t1tWFgOtjDEHgD/tmz6Kjp7xP8Blb/8lcL19CbE8ZUgD/guMBMYBne39XgustbcpFIsx5lfgc2Cuve03lHzCUUopT4gGPhGR1SKyHGgFPGmMycTq9/x/dm5ditXlIV8p21wD3GXvcw5wClZez7Fv0ru3SBxPAp3s7V/Eag2vTCWdR0bl3SiIVY5lJe3AGLMbeAiYbm+32BjzY5FtlmCdX5YBk4CFni6Iqjxy/CqHUv5DRN4AlhhjPnI6FqWUUkpVPdoSrfyOiDyDdfe03pChlFJKKUdoS7RSSimllFJlpC3RSimllFJKlZFWopVSSimllCojrUQrpZRSSilVRlqJVkoppZRSqoy0Eq2UUkoppVQZaSVaKaWUUkqpMvp/zuvfjvrYV+gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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UsS4zhzW7cli1K5s1u7JZsvUAE5bsKF0nKMCPpgkRtKgTQUqdSJrXiaRtYi3qRYXWZHGUF9JKtDqGMYbvFm7j2QkryDpSwD/6NuWes1IIDfIvd/3osCD6NE+gT/OE0tdv3Hu4tFK9cPMBRk5dT6GjqaBxfDhdk2Pp0jiWrsmxNIgNRURbCJRSSh11JL+IW8ZksGZ3Nh/e0KXcCjRASKA/bepH0aZ+1DHLD+cXsnZ3Dqt2ZrPG8Xfuhn18v2h76TpNE8Lp3TyB3s0T6N44rsLjnFIV0Uq0KrVhzyH+/f3fzFi7l44No3nhsna0rFurStsQsU6nNY4P57JOSYDVUrB020EyNu1n3oZ9/LJ0R2lrdZ1awXRJjqVr41i6JMfSok4kfnraTSmlfFZ+YTF3fDafeZv28dY1HUsbaaoiLCiA9knRtE+KPmZ5Vm4Ba3blsHDzfqaszuTzOZsZPWMjQf5+dGkcQ+8Uq1Ldsm6kNvCoSmklWpFfWMwHU9fx5l9rCfb34/8uact1XRtWW2U2JNCftORY0pJjub1PU4qLDat3ZzNvwz7mbrQq1j87Tr1FhQaS1iiGLo5KdbvEKIIC9EIRpZTyBUXFhge/WszkVZm8cFk7Lmxfv1q3XyskkM6NYujcKIZbejUht6CIuRv2MXV1JlPXZPLCLyt54ZeVJEQG0yslnj7NEzijWTzxEdoVUZ1IK9E+bt7GfTz27d+s3Z3DBe3q8dRFraldK8Sl+/TzE1rWrUXLurUY0iMZYwxb9h1h7sZ9zNuwj3kb9zFp5W4AQgL9SG0QTdfkWLo2jqNjw2jCdRQQpZTyOsYYnvxhKT8t3s6j57fkmq4NXb7PkED/0i4dADsP5jJ1TSZTV2fy18rdfLtgGwBtE2uVtlKXdE9USmsjPurg4QJe+GUF4+ZtITE6lFHD0jirZR1bYhERGsaF0TAujCs6W11AMrPzyNi4j7kb9zF3wz7enryW4r/W4u8ntK1fiy6OftVdkmOJDQ+yJW6llFLV55XfV/HZnM3c3qcpt/dpaksMdaNCuCqtAVelNaCo2LB020Gmrs5k2po9fDB1Pe+mryPEH87cMs+qfKck0CguTLt++CitRPsYYww/Lt7O//28nP2HCxjeuwn3nZ1CWJB7/SskRAZzfrt6nN+uHgDZuQXM37SfeRv3MW/Dfj6evYkPp28ArKH1Si5U7NI4lsRoveJaKaU8yQdT1/HO5HVc07UhjwxoYXc4APj7CR0aRNOhQTR3908hO7eAmev2Mj59Mat35fDnCuuMaYPY0NJW6h5N46gVEmhz5KqmuFfNSbnUpr2H+Pf3S5m2Zg8dkqIYe1PXE65odleRIYH0bVG7dJi93IIi/t52kLkbrJbqnxZt5/M5mwFIjA6lS7LVr5qcYowx2kqglFJuavy8zTw/cSUXtK/Hs5e0ddt8HRkSyHlt6hKcuZK+ffuycc8hpq3JZMrqPXy/cBufzdmMv5/QqWE0vVMS6NU8gXaJUTpGtRfTSrQPKCw2vJu+ljf+XEOgvx9PD2rD9d0befQXOyTQ3+rSkRzLnf2si1FW7MiyWqo37mP62r2lQxn9d+GfpDWKKR0BpE39WgTorFZKKWW7iX/v4LFv/6ZP8wReuyrVo45LyfHhJMeHM6RHMvmFxSzcvN/Rn3oPr/65mv/+sZrosEDObBZf2lJdN8q11xypmqWVaC83f9M+Rsw8wtacVQxoU5enBrX2ygHm/f2EtolRtE2M4sYzGpeOV/3xrzPJCqrNvI37+H25NbtiWJA/nRvFlFbCOzaMJiRQxwdVSqmaNHV1JveOW0inhjG8f31njx6JKSjAj25N4ujWJI6Hz4O9OXlMX7uHqav3MG1NZukIVM3rRJS2UndrHKvHHg+nlehqtjs7lymrMtmdnUdEcADhwQGEB/lbf4MDHMv8CQ+yHrsqaRw8UsBLv67kszmbiQ0RRg5N45zW9lw4aIeS8ar7JAXSt28HAHZl5TLXMfrH3A37eO3P1RhjTRXbLjGqtF91WqNYosK0T5tSyvMUFxv2HsonMzuPzJw8dmflsicnH4MhLNCfsOAAwoL8CQvyJzSwzP0gf8KCrMfBAX4u71Ixf9N+bvtkPs1qR/LRsC5eN9FJXEQwF6cmcnFqIsYYVu3KtobRW72n9Jqe4AA/ujaOLW2lbl4nwm27sqjyaSX6NBUVGxZvPUD6yt1MXpXJ39sOVun1Qf5+VqU6OMBRsfYvU9kurwIeQESwlezKVsojggMICwog0F+Y8PcOnv5pOXtz8rj5zMakhezyqQp0RerUCuGiDvW5qIM17ujBwwVkbNpXOrTeqOkb+N+U9YhAizqRpd0/ujaOpY6Lh/1TSqmTOZxfaFWMs/PY7fhr3c89ZtneQ/kUneYQbH5iTVYSWlrZ9ndUtq1l4UH+hAYdVwEPtJ7fsKOQohW7Sivk5VXQV+7M5sbRc6lTK5iPb+pKVKh3N1qIHB3WdXjvphzJL2LOhr2lrdTPTVzBcxNXUKdWML0cFepezeKJ0ZGn3J5Wok/B/kP5TF2TyeSVu5myOpP9hwvwE+jcKIaHz2tBvxa1aRwfzqH8Qg7lFXIor4hD+YXk5JU8dizLKyQn/9jHh/ILycotZMfB3KPr5hc5nRQD/YWCIkPbxFqMuqEL7ZKiSE/f7eJ3xDNFhQXSv1Ud+reyfmAcyS9i0ZYDpf2qv56/lY9nbQKgYWyYo0IdQ9fGcSTrkEZKqdNUVGzYdyi/tCJ8TAU5J4/MLMff7Dxy8gpPeL2fQHxEMLVrBVM7Mpg29WtROzKEhMhgEiKtZQmRwcRHBOMnwuH8Qg7nFzluhRwpuV9QxJEyz5UsP1JgLTuUZ90/lF/Inpy8MusVcrigCHP84WlxRoVl9hOrUpkQEcwnN3cjIdL3JjEJDfI/5kL57QeOMG1NJlPX7OGP5bv4ev5WRKB9YlRppbpjw2gC9Voet+PySrSIDADeAPyBD40x/6lgvcuBr4EuxpiKv4E2KC42LN+RxeSVu5m8ajeLthyg2EBseBD9WtSmX8va9EqJJzrs2F+NoUH+1TLLkTGGvMLiMpXwk1fKG8WGc1Vakl48V0WhQf70aBpHj6ZxABQWFbNse1Zp94/Jq3bzzYKtgHXg6tr4aL/qVvVqedQFMUpVxBtytt0O5xeyu0wFeHdWLhmr85mQufjosuw89ubkUV77SGRwgFX5dVSMj1aKHRVkR8U5JiyoSnknNMifuGosJxw9PpVUzKfMmE2bDp2OqaQfcTxnVdaLKCgyXN2lAQ1iw6o5Gs9UPzqUwV0aMrhLQ4qKDUu2HmDamj1MXZ3Je1PW8fbktUQEB9CjaRy9myfQJyWBhnH63rkDl1aiRcQfeAc4B9gKzBORH40xy49bLxK4F5jjyniqIiu3gBlr9vDXyt2kr84kMzsPgA5JUdx9Vgr9WtamfWJUtU2NfTIiQkigPyGB1VMpV84J8PcrHSP0ll5NMMawLjOHuRv2l1asJ/69E7AOep2TY0q7f3RsEK0/YpTH8eSc7WpFxYa9h07sTpFZTteKQ/lFJ7zeTyBhTya1I0OoUyuEtvWjqF0r+JhKcUJECPGRQW43bv/JlD0+xYYHkRhhzTKrTo2/n9CxYQwdG8ZwT/8UDh4pYNa6vaWzKP7huEC+UVxYaV/qnk3jdCZfm7j6Xe8KrDXGrAcQkXHAxcDy49b7P+BF4GEXx1MhYwxrdueUtjZnbNxPYbGhVkgAvZsn0K9FbXo3T/DJU0/KIiI0qx1Js9qRXNvNmo5224EjzNtwtF91+qpVAHRtHMvYG7t63cUyyut5TM6uLofyCsvtY3x814oKW41DAkorwu2SokmIOLYrRcn9xfNmcla/fjVfQOXRokIDGdC2LgPa1i0ddcq6QDGTbxZs5ZPZm4iPCOLZS9oxoG1du8P1Oa6uRCcCW8o83gp0K7uCiHQCGhhjJohIjSbkw/mFzFy7l8mrdpO+KpNtB44A0KpeLYb3bkK/lrW1RVGdVGJ0KIkdE7mkYyIA+w7lM2HJdp76cRnDP8ngwxvSCA7QirTyGG6ds51VVGzYm+OoBB/Xt/j4SvLhclqNA/yktK9xvagQ2idFHVMpTogMobajr7GzP5T99BoKdZpKRp1qHB/ODT2tsannbdzH8xNXcPun87kktT4jBrU5oWupch0xJ1wRUI0bF7kCGGCMucXxeAjQzRhzl+OxH/AXMMwYs1FE0oGHyutfJyLDgeEAderU6Txu3Lgqx5OTk8MhCWNJZhGL9xSxcl8RhcUQ4g+t4/zpkOBPuwR/YkO8q9Kck5NDRESE3WHYwq6yT9tawEdL8+lU2587UoMJqOH+0r76mXtCufv16zffGJNmdxzlsStnO/O5GWPILYKDeeaY24E8w8H8MvfzDNn5hvKObKEBEB0sRAULUUFy9H6wEBXsR1SwtSw8sPorvZ7wv1kdfKGc7lbGwmLDT+sK+Hl9AZFBwrA2QaTWPr02UncroytUpYwV5W1XV6J7ACOMMec5Hj8GYIx5wfE4ClgH5DheUhfYBww62YUqaWlpJiPD+etY8gqL+M8vK5m4cBO7DlvlbZoQXnpRYFpyjFe3Fqanp9O3b1+7w7CFnWUfM2MDI35azsWp9Xm1hmfi8tXP3BPKLSLuXIm2JWeX97mNmr6BeRv3lRnvOI8jBeW3Gh8/GkVCRDAJtUJO6Fph58QWnvC/WR18oZzuWsal2w7y4JeLWbUrmys7J/HERa2pFXJqwwe6axmrU1XKWFHednV3jnlAiog0BrYBVwPXljxpjDkIxJcJMp0KWjVOR5C/HzPX7qVOuB93ntOSvs1r65WtyuWGndGYQ/lFvPzbKsKC/Hn+0nY6LJ5yd26RswFW7Mhize4cEiKC6ZAUfVwf46PDuEWHBtbIBd5Kubu2iVH8ePcZvDlpDe+lr2P62j28eHl7ejdPsDs0r+XSSrQxplBE7gJ+wxouaZQxZpmIPANkGGN+dOX+S4gIv9zbi6lTp9C3R3JN7FIpAO7s14zD+YW8M3kdYUEB/PuCVlqRVm7LXXI2wMtXdqipXSnlNYID/Hn4vJac07ouD365iKGj5nJtt4Y8PrAVETqCR7Vz+TtqjJkITDxu2ZMVrNvXVXFoS4Wyy0PntuBQXhEfTd9AeHAAD5zT3O6QlKqQu+RspdSpS20QzYR7evHqH6sZOW09U1dn8tIV7enZNL7yFyunedcVdEq5IRHhyQtbc1VaEm9OWsP/pqyzOySllFJeLiTQn8cHtuKr23oQ4CdcO3IOI35cxuH8E2e/VKdGK9FK1QA/P+GFy9pzYft6vPDLSj6ZvcnukJRSSvmAtORYfrm3N8N6JjNm5kYGvjGNjI377A7LK2glWqka4u8nvDY4lbNb1eaJ75fyzfytdoeklFLKB4QG+TNiUBvGDe9OkTFc+b9ZPDdhObnljHijnKeVaKVqUKC/H29f24kzmsXx8NeL+eXvHXaHpJRSykd0bxLHr/f25tquDRk5bQMXvDmNhZv32x2Wx9JKtFI1LCTQnw+GpNGxYQz3jFvI5FW77Q5JKaWUjwgPDuC5S9vxyc1dOZJfxOXvzeTFX1eSV6it0lWllWilbBAeHMCoYV1oXieS2z+Zz6x1e+0OSSmllA/plZLAr/f35orOSbyXvo5Bb81g6baDdoflUbQSrZRNokID+eTmbjSMDeOWsfP0lJpSSqkaVSskkJeu6MDoYV04cCSfi9+Zwat/rKaw2HWzWXsTrUQrZaPY8CA+vaUb8ZHB3DBqLsu3Z9kdklJKKR/Tr2Vtfr+vDxd3qM+bk9bwzKxcVuzQ41FltBKtlM3q1Arh05u7ER4cwJCP5rB2d47dISmllPIxUWGBvDo4lQ+GdOZAXjGD3p7O23+tobCo2O7Q3JZWopVyAw1iw/jslm6IwPUfzmHLvsN2h6SUUsoHndumLs+dGcZ5beryyu+rufy9mazdnW13WG5JK9FKuYkmCRF8cnM3jhQUcd2Hc9h5MNfukJRSSvmgyCDh7Ws78c61ndi87zAD35zO/6aso0j7Sh9DK9FKuZFW9Wox9qau7M3J47oPZ7M3J8/ukJRSSvmoC9rX4/f7+9CvRQIv/LKSK9+fyfpM7XJYQivRSrmZ1AbRjBrWhW0HjjDko7kcPFJgd0hKKaV8VEJkMO9f35k3rk5lXeYhBr45jVHTN1CsrdJaiVbKHXVrEsf/hqSxZnc2w0bP5VBeod0hKaWU8lEiwsWpifx+f296No3nmZ+Xc/XI2Wze69vX72glWik31ad5Am9d04klWw9yy9gMcgt0NimllFL2qVMrhI9uSOPlK9qzYnsWA96YyiezN/lsq7RWopVyYwPa1uWVK9sze8Ne7vhsAfmFOtSQUkop+4gIV6Y14Lf7e9O5UQxPfL+UIaPmsO3AEbtDq3FaiVbKzV3aMYlnL2nLXyt3c//4RXp1tFJKKdvVjw7l45u68vyl7Vi0+QDnvTaV8fM2Y4zvHKO0Eq2UB7iuWyP+NbAVE/7ewSPfLPHZU2dKKaXch4hwbbeG/Hpfb9olRvHIN39z45h5PjNEq1ailfIQt/Zuwn1np/D1/K08/dMyn/q1r5RSyn2VTBj29KA2zFm/j3Nfm8K3C7Z6/XFKK9FKeZB7+6dwa6/GjJ21iZd/W2V3OEoppRQAfn7CDT2T+eXeXrSoG8kDXy5m+Cfz2Z3tva3SWolWyoOICI8PbMV13Rrybvo63pm81u6QlFJKqVLJ8eGMG96Df1/QiqmrMzn3tan8tHi73WG5hFailfIwIsL/XdyWSzsm8vJvqxg9Y4PdISmllFKl/P2EW3o1YcI9vUiOC+fuLxZy52cLvG4WXq1EK+WB/PyEl69oz3lt6vD0T8v5ct4Wu0NSSimljtGsdgRf396Dfw5owR/Ld3Hua1P5dekOu8OqNlqJVspDBfj78eY1HenTPIFHvl3Cj156ukwppZTnCvD3446+zfjp7jOpFx3C7Z8u4N5xCzlwON/u0E6bVqKV8mDBAf68f31nuiTH8sD4Rfy5fJfdISmllFInaFE3ku/uOIMHzmnOhCU7OOe1qUxa4dnHLKcq0SJSR0Q+EpFfHI9bi8jNrg1NKeWM0CB/Rg3rQpvEKO74fAHT1+yxOyRlM83ZSil3FOjvxz39U/jhrjOICw/i5rEZPPTVYg4eKbA7tFPibEv0GOA3oL7j8WrgPhfEo5Q6BRHBAYy9sQtN4sO59eMMdh7S6cF93Bg0Zyul3FSb+lH8eNeZ3H1WM75buI2L3prOkfwiu8OqMmcr0fHGmC+BYgBjTCHgeaVVyotFhwUx9qauFBnDH5s881e9qjaas5VSbi0owI8Hz23Bfy5rx+Z9h1mXmWN3SFXmbCX6kIjEAQZARLoDB10WlVLqlNSpFcJF7eszfVshWblakfZhmrOVUh6hVb1aAGzZd9jmSKrO2Ur0A8CPQFMRmQF8DNztsqiUUqdsWM9k8org64ytdoei7KM5WynlERrEhgGwdf8RmyOpuoDKVhARf6CP49YCEGCVMUabuZRyQ+2SomgW7cfHszYyrGcyfn5id0iqBmnOVkp5kqjQQCJDAti63wtboo0xRcA1xphCY8wyY8xSTcZKubezGwWyce9hpqzOtDsUVcM0ZyulPE1STBhbvLEl2mGGiLwNjAcOlSw0xixwSVRKqdOSVsef2pHBjJm5kX4ta9sdjqp5mrOVUh6jQUwoG/ceqnxFN+NsJTrV8feZMssMcFa1RqOUqhYBfsL13Rvx6h+rWZ+ZQ5OECLtDUjUr1fFXc7ZSyu0lxYQxbc0ejDGIeE4XRKcq0caYfq4ORClVva7p2pC3/1rLx7M2MWJQG7vDUTVIc7ZSypM0iA3lSEER+w7lExcRbHc4TnN2xsIoEXlVRDIct/+KSJSrg1NKnbqEyGAuaF+Pr+dvJSev0O5wVA3SnK2U8iRJMZ45QoezQ9yNArKBqxy3LGC0q4JSSlWPG3omk5NXyDfzdbg7H6M5WynlMZJiQgHY4mEjdDjbJ7qpMebyMo+fFpFFLohHKVWNUhtEk9ogmrGzNjKkeyMd7s53aM5WSnmMkkq0t7ZEHxGRM0seiMgZgGeVVCkfNaxnMuszDzFt7R67Q1E1R3O2UspjRIYEEh0W6HFjRTvbEv0PYGyZPnX7gWEuiUgpVa0GtqvHsxNWMHbmRvo0T7A7HFUzNGcrpTxKUkwoW/Z51m99Z0fnWAR0EJFajsdZrgxKKVV9ggL8uK5bQ978aw0b9xwiOT7c7pCUi2nOVkp5mgYxYazelW13GFXi7Ogcz4tItDEmyxiTJSIxIvKsq4NTSlWP67o1xF+Ej2dtsjsUVQM0ZyulPE1STChb9x/BGGN3KE5ztk/0+caYAyUPjDH7gYEuiUgpVe1q1wphYLt6fJWxhUM63J0v0JytlPIoDWLDyCssJjMnz+5QnOZsJdpfREpHvxaRUMBzRsNWSnFDz2Sy8wr5duE2u0NRrqc5WynlUTxxhA5nK9GfAZNE5GYRuRn4AxjrurCUUtWtU8No2idFMXbmRo86XaZOieZspZRHKZlwZcs+zxmhw6lKtDHmReBZoJXj9n/GmJdcGZhSqnqJCDf0SGbt7hxmrN1rdzjKhTRnK6U8jde2RItIOPC7MeYhYCQQLCKBLo1MKVXtLuxQj7jwIMbM3Gh3KMqFNGcrpTxNWFAAceFB3leJBqYCISKSCPwKDAHGuCoopZRrBAf4c03XhkxaucujTpmpKtOcrZTyONYIHZ5zbHK2Ei3GmMPAZcB7xpgrgTZOvVBkgIisEpG1IvJoOc/fLiJ/i8giEZkuIq2dD18pVVXXd2+Enwgfz9podyjKdTRnK6U8TlJsmFe2RIuI9ACuAyY4lvk78SJ/4B3gfKA1cE05CfdzY0w7Y0wq8BLwqpMxKaVOQd2oEAa0rcv4eVs4nK/D3XkpzdlKKY+TFBPKtv1HKC72jIvfna1E3ws8BnxnjFkmIk2AyU68riuw1hiz3hiTD4wDLi67wnEzaYUDnvHOKeXBhvVMJiu3kO8Xbrc7FOUamrOVUh6nQUwY+UXF7M72jLGinR2dY6oxZpDjim8cCfaekudF5K0KXpoIbCnzeKtj2TFE5E4RWYfVqnHP8c8rpapXWqMY2tSvpcPdeSnN2UopT3R0hA7P6Bct1XEAFZEFxphO5Sy/AhhgjLnF8XgI0M0Yc1cF27kWOM8Yc0M5zw0HhgPUqVOn87hx46ocZ05ODhEREVV+nafz1XKD75bdmXJP21rAR0vzeaRLCK3iKj3T7xE84fPu16/ffGNMmp0xuFvO9oTP7XT5QhnBN8qpZXSd7TnFPD79CMPbB9OzfoBL91WVMlaUt10bIWwDGpR5nORYVpFxwHvlPWGM+QD4ACAtLc307du3ysGkp6dzKq/zdL5abvDdsjtT7u4FRXy7fhKLDkfxj8ttrdNVG1/9vKuRLTnbFz43Xygj+EY5tYyuk1tQxOPTfyWyTiP69k1x6b6qo4zO9ok+VfOAFBFpLCJBwNXAj2VXEJGy79IFwBoXx6SUAkIC/bm6a0P+WL7LY06dKZfTnK2Usk1IoD8JkcEeM0JHdVWipbyFxphC4C7gN2AF8KXjIpdnRGSQY7W7RGSZiCwCHgBOOC2olHKN67s3QkT4ZPYmu0NRNUtztlLKLSXFhLLFQxp2nOrOISLtjDF/n2SVNyp6whgzEZh43LIny9y/15kYlFLVLzE6lHNb12H8vC3cf3ZzQgK9o2+0r9OcrZTyVA1iwli05YDdYTjF2Zbod0VkrojcISJRxz9pjBlTvWEppWrKDT2TOXC4gB8Wnazrq/IwmrOVUh4pKSaU7QeOUOQBY0U7O8RdL6xB+xsA80XkcxE5x6WRKaVqRLfGsbSsG8mYmZt0uDsvoTlbKeWpkmLCKCw27MzKtTuUSjndJ9oYswb4N/AI0Ad4U0RWishlrgpOKeV6IsKwnsms2JHF3A377A5HVRPN2UopT9Qg1jFW9D737xftVCVaRNqLyGtYF5qcBVxkjGnluP+aC+NTStWAi1MTiQoNZOysjXaHoqqB5myllKdKigkD8IgROpxtiX4LWAB0MMbcaYxZAGCM2Y7V0qGU8mChQf5c3aUBvy3bxfYD7p+4VKU0ZyulPFL96BBE8IgROpytRF8AfG6MOQIgIn4iEgZgjPnEVcEppWrO9d0bYYzhUx3uzhtozlZKeaTgAH/qRIZ4VUv0n0BomcdhjmVKKS/RIDaMs1vVYdy8LeQWFNkdjjo9mrOVUh4rKSaULd7SJxoIMcbklDxw3A9zTUhKKbsM65nMvkP5/LR4u92hqNOjOVsp5bEaxIZ5VUv0IRHpVPJARDoD7l86pVSV9GgaR/M6EYyZuVGHu/NsmrOVUh4rKSaUnVm5FBYV2x3KSTk1YyFwH/CViGzHmi62LjDYVUEppewhItzQM5l/fbeU+Zv2k5Yca3dI6tTch+ZspZSHSooJpajYsONgLg1i3fckmlOVaGPMPBFpCbRwLFpljClwXVhKKbtc2jGRF39ZyZiZG7US7aE0ZyulPFkDxzB3W/Yf9vxKtEMLoDUQAnQSEYwxH7smLKWUXcKCArgqrQFjZm5k58Fc6kaF2B2SOjWas5VSHslTxop2drKVp7DGHX0L6Ae8BAxyYVxKKRsN7ZFMkTF8NkeHu/NEmrOVUp6sXnQIfuL+sxY6e2HhFUB/YKcx5kagAxDlsqiUUrZqGBdG/5a1+WLuZvIKdbg7D6Q5WynlsQL9/agXFeodLdHAEWNMMVAoIrWA3UAD14WllLLbDT2T2ZOTz4QlO+wORVWd5myllEdLjPGeSnSGiEQDI4H5WNPJznJVUEop+53ZLJ6mCeE63J1n0pytlPJoDWLC3H7q70or0SIiwAvGmAPGmPeBc4AbHKcIlS8pzIPsXXZHoWqIiDCsZzJLth5k4ZYDdoejnKQ5W3mlglzI2W13FKoGlYwVnV/ovmNFV1qJNlYT1MQyjzcaY5a4NCrlfooK4ZNL4a1OsGu53dGoGnJZpyQigwMYO3Oj3aEoJ2nOVl7pp3vh9fawdpLdkagakhQTijGw/YD7dulwtjvHAhHp4tJIlHub8iJsmgEIjLsGDu+zOyJVA8KDA7giLYmJf+9gd1au3eEo52nOVt4jazss/RpMEXxxNaycWPlrlMcrGR/anftFO1uJ7gbMEpF1IrJERP4WEc9q2SjMtzsCz7VhKkx9GVKvgyHfWgnt6xut1mnl9Yb2SKagyPDZnM12h6Kc5/k5W6kSGaOguAhu/h3qtoMvh8DSb+2OSrlYUkwoAFvduF+0s5OtnOfSKFytuBhG9qMlCdA2EeJT7I7Ic+Rkwje3QlwzOP8lCI6AC1+DH+6EP56AAS/YHaFyscbx4fRrkcDnczdzZ79mBAU4+9tb2cizczZYOWb7YitfJ7SA+ObW39imEKgTAPmMglzIGA0tBkL9jjDke/j8KvjmZus6ndRr7I5QuUjdWiEE+IlbX1zobCXasy/NL8yFxn1ImDsS3u4CbS6FXg9C3bZ2R+beiovh+9vhyH64/hurAg3Q8XrYuRRmvwt12kLH6+yNU7ncDT2TGTZ6Hr8s3cHFqYl2h6Mq59k5G6zckrMbts2HZd9RWiTxg+hGRyvWJZXr+OYQGm1nxMoVln4Dh/dAt9usxyG1rOPRuGut41PhEUi7yd4YlUsE+PtRLzrErbtzOFuJnoCVwQRrCtnGwCqgjYviql5BYTDgeWb7deUMv8UwdyQs+9b6Zdv7IUjsbHeE7mnWW7D2T7jgvyf+4Dj3Wdi9HH6+zzp4NdDul96sd0oCjeOt4e60Eu0RPDtnA3T/h3UDKDgCe9dC5irYs9rxdw2smwxFeUdfE1HnxIp1fHOoVR9E7CmHOnXGwJz3IaEVNO59dHlQOFwzHr4cCj/fb7VW97jDvjiVyyRFh3l+JdoY067sYxHpBHjcf2xBUDT0fQrOuAfmfGC1pI48C5r2tyrTjXraHaL72JoBk56BVoMg7eYTn/cPgCvHwMh+MP46GJ5uHaiUV/LzE4b2aMTTPy1n8ZYDdGgQbXdI6iS8JWeXCgy1+sLWbXfs8uIi2L/RqljvWQ2Zq2HPKvj7a8g7eHS9oMgy3UJSIL6FdT+msZXLlHvaPBt2LoELXz/xR1BgCAz+FL69BX57DAoOQe+HbQlTuU6D2FDSV2XaHUaFTil7GGMWiEi36g6mxoTGQN9HrF+u8z6CWW/D6POh0RnWl7BJX99utThywLpwMLI+DHqr4vciLBau/gI+OgfGXQc3/qJ9Fb3YFZ2TeOW3VYyduZFXB6faHY6qAo/P2RXx84e4ptatxflHlxtjdQXZs+po6/We1bB+Ciz+oszrAyG2CSQ0P1qxjk+xWq+Dwmu+POpYc96HkGhoP7j85wOC4PJREHAH/PWsdcbirCd8+/jtZZJiwtidnUduQREhgf52h3MCpyrRIvJAmYd+QCdgu0siqknBkXDmfdB1OCz4GGa8AZ9cAolpVst08wG+92U0Bn66xxqB48ZfK+9jWKc1XPo/qzX6p3vh0vd97z3zEZEhgVzROYkv5m7hsYGtSIgMtjskVQGvzdnOEoHIOtatbDcAgNwsqyvIHkerdeZq2L3CGjbNFB1dL6pBma4hZSrZYXGa42rCwa2w4ifoeZfVJbMi/gFwyfsQEALT/mtVpM97Xj8jL1EyQse2A0domhBhczQncrYlOrLM/UKs/nbfVH84NgkKg+63Q9qNsOhzmP6qNRZlnXZWZbrVIPDzkREJMkbB8h/g7Ked7+fc6kLo+zikP2+dbu15l2tjVLYZ2jOZsbM28cXczdzTX0e5cWPenbNPR0gtSOps3coqzId9649WrEsq2QtmQUGZ0QFCYxwVakfFuqSSHdXQd44TNWHeh4CBLrdUvq6fH1z0htXtZ/a7VkX6glf18/ACZceK9thKtDHmaVcH4hYCgq2KdMfr4e+vrF+1X91gJcpeD0DbK7y7/9zOpfDrY1Yf8Z73VO21vR+GXUutYe9qt4RmZ7smRmWrpgkR9G6ewGdzNvGPvk0J9NeDlDvymZxdnQKCrNxVu+Wxy4uLIWvrsX2uM1dbLdeHPy7z+hCISynTau34G9fUOrYo5xUcgfljoOUFEN3QudeIwID/WBXp6a9Zo3INetu7j9k+wN3Hina2O8cfwJXGmAOOxzHAOGOM549FWh7/QEi91uqHtfx7mPpf+O42SH8BznwAOlxjJVxvkn/I6gcdGm11z6jqL3g/P7jkPRi1Hr6+CW6dbB08lNcZ1rMRN43J4NelO7mog15M6o58Lme7kp+fVZGLbnhi48DhfY4+147RQjJXwdZ5jolAygzJF5NMW4mD/EmOfteOSnZIVI0XxyP8/ZU1tGq326v2OhHo/xQEhsHk56yK9GUjrWO68ki1I0MI9Be27HPPETqc/YmWUJKMAYwx+0WktmtCciN+/tD2cmh9Kaz+xZq176d7rCmwz7gPOg2xfvV6g4n/tA4CQ7+HiIRT20ZwBFz9GXzQD764Bm750zp1qrxK3+a1aRQXxpiZG7US7b58M2fXtLBYaNTDupWVf9gakq90OL5VhGxaZF0oV1Rm9tySIflKKtYlI4hE1vPdPr3GwJz/WeOENzqj6q8XgT7/tI7Nv//bGv7uyjF60buH8vcTEqNDPbslGigSkYbGmM0AItIIbxjM31l+ftZppRYDYd0kmPoK/PKwVanuebc10Huw+/XVcdqSL2HRp0dHJjkdMclw1Vj4+BL49lZr9A7tl+ZV/PyEId0b8eyEFSzddpC2idqa5oZ8O2fbLSgM6rW3bg4Z6en07XUmHNh07IghmausHJyXdfT1wbWOjhJStpIdk+z93RM2zbC6Bp5sZChn9Lzb6mIz8SHrGqerPz/5BYrKbSXFuO9Y0c5+G/8FTBeRKViD9/cChrssKnclYp3Oa3Y2bJxuVaL/eMK6ELH7ndD1Vs+bMWvvOmuw+oY9oc+j1bPNxr2tvmm/PAyTn4X+T1bPdpXbuDKtAa/+sZoxMzfyypUd7A5HnUhztjvyDzg6JB8Djy43BnJ2HTeZzGpYn37ikHxxTU+cTCY+xXuG5Jv9HoTGQrsrT39bXW+1WqR/vBs+uwKuHW+NyqU8SoPYUP5YvsvuMMrl7IWFvzoG6+/uWHSfMWaP68LyAMlnWrct82DaK1Zlceab1nB53e+A8Di7I6xcYR58NczqL3b5h9XbwtH1Vtj1t3VxZp02VrcY5TWiQgO5rFMiX2Zs5bHzWxIXoRdOuRPN2R5GBCLrWrcmfY59Lvfg0SH5SirXu5bByp/BFB9dr2RIvuOnQw+Pr9mynI79m2DVRKu7ZHV1lex4vdUi/e1w6wzp9d94XmOXj0uKCWNPTj5H8osIDXKvsaKdvbDwUuAvY8zPjsfRInKJMeZ7VwbnERp0sX7d7lhsVRin/dcaYiftJuhxp3vP4vfHk9ZsUNeMg6hqnspZBAa+YiX97++EuGZQT1ssvckNPZL5dPZmxs3bwp39mtkdjipDc7YXCYmCpDTrVlZhnjUk3/FdQzbNhMIyp75DY63KdLP+0HGoNXa2u5r3ISDQpZxZck9HuyusivRXw2DsRTDke89o6FJA2bGiD9OstnudSXC2s+pTxpjSOVQdF6w85ZKIPFW9DnDVx3DHbGh1kXVK6o0O8OM9VpcJd7NygnWRS7d/HDvTV3UKCLamZQ2LtWY0zHHfqTtV1aXUieSMZnF8OnsThUXFlb9A1STN2d4uIBhqt4I2l1gX0l3+Idw+DR7fDvcugeu+sSYdaXURFBVYM/q91tqqSG6cbnUhcSf5h2DBWCveqKTq336rC60Goz2rYcxAyN5Z/ftQLpEUY/Vld8cROpytRJe3npdf3XCKareEyz6Au+dbp5EWj4O306xh33YutTs6y4Et8P0dVsX/HBcPJxtR2xqx41AmfHuL+yVudVqG9WzMjoO5/O6m/dV8mOZsX+XnBzGNIOVs62zooDfh1klwVwZ0vQ3W/QVjLoB3u1ujYOQerHybNWHJl1YsVR3WripSzobrvrKOgZ9cCkWFrtuXqjYN3HisaGcr0Rki8qqINHXcXgXmuzIwjxfbGC58De5bAj3ugtW/wftnwGdXweY59sVVVAjf3ALFRXDF6JqZBKB+Rzj3Wesimb+/cv3+VI05q2VtkmJCGTNjo92hqGNpzlbHik+BAc/DAyvh4nessZR/+Sf8t6V14d32RfbFVjKsXd320LB75eufjsa94dL3Yfdya1Qq5fbiI4IJCvBjixuO0OFsJfpuIB8Y77jlAXe6KiivElkXzv0/uH8p9PuXNRD/qHNh9EBY+2fNt8ymvwBbZsNFr9fsZChpN0FiZ/jtcWsQfeUV/P2EoT0aMXfjPpZvz6r8BaqmaM5W5QsKs86SDp9sTYrV9jJY8hV80AdG9odFn1szBtakDVMgcwV0/0fNjI/d6iJI6grp/6n5sqoq8/MTkmLcc6xopyrRxphDxphHjTFpjttjxphDrg7Oq4TGWP3W7l8K570A+zbAp5dbiWvZ91bLsKutm2xd+NjxeutCi5rk52+1zB/eC5P+r2b3rVxqcFpDQgP9GTtzo92hKAfN2copiZ2sVukHV1jDkuYehO//Aa+2gt/+VXPX88z5H4TFQ5vLamZ/InD2CMjeAXM/qJl9qtPirmNFO1WJFpEEEXlZRCaKyF8lN1cH55WCwqHHHXDvYhj0NuTlwFc3wDtdYeGnUJhf+TZORc5ua4if+OZw/kuu2Udl6nWw+uRljIKtembZW0SFBXJJx0S+X7SN/Ydc9P+rqkRztqqS0BirFfiueTD0R6vLw5z34a1O1rBwK35yXf/hfRtg1S+QdmPNziqYfAY0OwemvQpHDtTcftUpaRATypZ9HtoSDXwGrAQaA08DG4F5LorJNwQEWdOG3zXP6pscGAo/3AlvdoTZ71vTxlYXUwzf3WbNiHXlGHsH5e/3uNXF5ef79KIOL3JDz0bkFRYzbt4Wu0NRFs3ZqupErHGqr/oY7l9mdUHcsxrGXw+vt4P0FyFrR/Xuc96H1pnKtJuqd7vO6P8k5B6w5nhQbi0pJoz9hwvIyXOveoOzleg4Y8xHQIExZoox5ibgLBfG5Tv8/K0+abdNs4Ykim4Ivz4Cr7e1ZkSshl/IDbZ8Z12RPeA/UKf16cd8OkJqWcMu7VziGBNUeYOWdWvRvUksn8zaSF5hDXRNUpXRnK1OT2RdqwvivUtg8GfWyFPpz1vHpi+Hwvopp39NT14OLPgEWl9sz5wK9dpbMyPOfk+HvHNzJWNFr8/MsTmSYzlbiS5w/N0hIheISEcg1kUx+SYRa/idm36BG3+1LsL761l4rS388ZTVHeNUbJlLk/WfQptLofOwag35lLW5FJr2t8pX3a0ayjZ39G3G9oO5fD5ns92hKM3Zqrr4B1hjLA/5Du5eYA1Bt2EqfDwI3u4Cs9499YvFF38BeQet+Qrs0u9xKMqHKTZ1c1RO6dE0jqAAP7c72+lsJfpZEYkCHgQeAj4E7ndZVL6uUQ9rLMvbpkHKOdapptfbwYQHrWlRnXVkP3x9E7khCXDRGzVz1bMzRGDgy1bi+u0xu6NR1aRXSjxnNIvjrb/Wkp1bUPkLlCtpzlbVL64pnPccPLACLnnfmj77t8fgv62s7ojbFji/reJi66K++p1OnI2xJsU2sRqYFox1z4nRFGANc3d5p0S+mb+VvTl5dodTytnROX42xhw0xiw1xvQzxnQ2xvxY8ryIaE3IFeq1hytHW4Pkt78K5o+1+kx/exvsXnny1xoDP9wF2TtY3voha+pYdxLXFHo/BMu+s4b6Ux5PRHhkQEv2Hcrng6nr7Q7Hp2nOVi4VGAqp18Atf8JtU63j09JvYWQ/Os1/0LpIvrLretZPtvpbd7vd/gae3g+DfxBMft7eONRJ3XxmE/IKi/lkdhUaE13M2ZboylxZTdtR5YlrCoPeskb06HY7rPgR3u1mTaW9rYJRLuZ9CCt/hrNHkF2rec3G66wz7oW4ZjDhIR2r00u0T4rmwvb1+HDaBnZn5dodjqqY5mxVPep1sGZFfHAlnP8y/kV5Vqv0qy3h18dgz5ryXzfnfxBe25q23G6Rda3RSZZ+DTuW2B2NqkCz2hGc3ao2H8/aRG6Be1x7U12VaDfpJ+DlohKtGafuWwp9HoGN02HkWfDxxcde5LFjiTXGZ8q50N2N51cICIYL/gv7N8D01+yORlWTh85tQUFRMW9MquDgqdyB5mxVvUKioNtw5nV5C4ZNsK57mTsS3k6DsYNg+Q9Q5OjmtXcdrPnNGpGjJmbNdcYZ91pD/U16xu5I1Enc0qsJ+w7l882CrXaHAlRfJbqGp93zceFx1sUQ9y+Fc/7P6trx8SD48Gxr4pavb4KwWLjkPfCrro/YRZr0ta6Onv4a7FlrdzSqGiTHh3Ntt4aMm7fF7a6kVqU0ZyvXEIHkM62uiA8sh7OegH3rrRE9XmtrdZmY+jL4BdozrF1FQqLgzAdg7R9WA5VyS90ax9I+KYoPp22guNj+NObylmgRGSAiq0RkrYg8Ws7zD4jIchFZIiKTRKRRNcXk/YIj4Yx7rG4eF74Gh/dYE7fsWweXjYTweLsjdM65z0FAKEx4oOanQVcucU//FEIC/Hjl91V2h6LKpzlbuV5Ebeval3sXwzXjoG47axSMxV9YQ7tG1rE7wmN1vRUi68OfI/RY5KZEhFt7NWHDnkP8uWKX3eFUWyX6q/IWiog/8A5wPtAauEZEjh+oeCGQZoxpD3wN6DgzVRUYYv2iv2s+XP6RNaFK4152R+W8yDrQ/wnYMAX+/truaFQ1iI8I5tbeTZj4904Wbj7F4a+UK2nOVjXHzx9anA/Xfw33LISzn7YmOnE3gaHQ91HYOg9WTbQ7GlWB89vWJTE6lJHT7L+APeBkT4rIW5zktJ8x5h7H34ouae0KrDXGrHdsbxxwMbC8zDYml1l/NnC9U5GrE/kHQLsr7I7i1KTdBIs+g98et4b1C422OyJ1mm7p1YRPZ2/iP7+sZNzw7ojdV+D7AM3Zyu3FNoYz77M7ioqlXgcz37L6RjcfYP0AUG4lwN+Pm89szDM/L2fB5v10ahhjWyyVtURnAPOBEKATsMZxSwWCnNh+IlB2ZOytjmUVuRn4xYntKm/j53+0S8pf/2d3NKoaRAQHcE//FOZs2Ef66ky7w/EVmrOVOh3+AdaZ0cyVsGS83dGoClzVpQG1QgL40ObWaDFO9PsRkdnAmcaYQsfjQGCaMaZ7Ja+7AhhgjLnF8XgI0M0Yc1c5614P3AX0McacMJK2iAwHhgPUqVOn87hx4yqN+3g5OTlERERU+XWezpPK3WzNByRum8iCTi+TXSvltLfnSWWvTu5S7sJiw+PTjxDkB8+cEYqfi1uj3aXcJ9OvX7/5xhiXzi7haTnbEz630+ULZQQvKacxdFrwEEH5B5nb9V2K/Y/9/ekVZayEJ5Txq1X5TNxQwIu9Q6kdVvXeyVUpY4V52xhT6Q1YBcSWeRwDrHLidT2A38o8fgx4rJz1zgZWALWdiadz587mVEyePPmUXufpPKrcRw4Y83JzY97vZUxR4WlvzqPKXo3cqdw/LtpmGj3ys/lm/haX78udyl0RIMM4kedO5+ZpOdsTPrfT5QtlNMaLyrlusjFP1TJm5jsnPOU1ZTwJTyjjzoNHTLPHJ5gnv//7lF5flTJWlLedrbr/B1goImNEZCywAHBmap95QIqINBaRIOBq4MeyK4hIR+B/wCBjzG4n41HeKiTKGgt7x2Jrwhjl8S5oV492iVH89/fVbjNAvg/QnK3U6WjS17pNewVys+yORpWjTq0QLk5N5MuMrRw4nG9LDM5O+z0a6AZ8B3wL9DDGjHXidYVYp/t+w2q1+NIYs0xEnhGRQY7VXgYigK9EZJGI/FjB5pSvaHMZND0LJv0fZO2wOxp1mvz8hEfPb8m2A0f41I2ma/VmmrOVqgb9n4LDe2HWO3ZHoipwa68mHCko4rM5m23Zv1OVaLEuqz8b6GCM+QEIEpGuzrzWGDPRGNPcGNPUGPOcY9mTxpgfHffPNsbUMcakOm6DTr5F5fVEYOArUJRvjdahPN4ZzeLplRLP25PXcvBIgd3heD3N2UpVg8RO0PoSmPU25OjF0e6oRd1I+jRPYPSMjeQV1vyZTme7c7yL1VfuGsfjbKyxRJVyjbim0OtBWPYtrJ1kdzSqGjx6fksOHC7gf1PW2R2KL9CcrVR1OOvfUHAEpv3X7khUBW7t1YQ9OXn8sHB7je/b2Up0N2PMnUAugDFmP84Nl6TUqTvzPohtChMfgoJcu6NRp6lN/SguSa3PqBkb2HlQP08X05ytVHWIT4GO10PGR7Bfu6O5ozOaxdGqXi0+mLa+xqcCd7YSXeCYycoAiEgCUOyyqJQCCAiGC/4L+9bD9NfsjkZVgwfPbUFRseGNSavtDsXbac5Wqrr0eQTED9JfsDsSVQ4RYXjvxqzdncOUGp6TwNlK9JtYF6jUFpHngOk4d6W3UqenaT9oewVMfxX2rLU7GnWaGsSGcX33Royft4W1u3PsDsebac5WqrpEJULX4bB4HOxaXvn6qsZd2L4+dWuF8MHUmp18xdnROT4D/gm8AOwALjHGfOXKwJQqdd7zEBACEx8EJyYHUu7trn7NCAsK4OXfVtoditfSnK1UNTvzfgiupTPquqlAfz9uOjOZWev38vfWgzW2X2dH5+gObDPGvGOMeRvYJiLdXBuaUg6RdaD/k7A+HZZ+Y3c06jTFRQRzW+8m/LZsF/M37bc7HK+kOVupahYWC2feC6smUuvgCrujUeW4umtDIoIDGFmDU4E7253jPaDsudccxzKlakbaTVC/ozXkXW7N/cpUrnFzr8bERwTz4i8rS2bAU9VLc7ZS1a3b7RBRhybrP9azom6oVkgg13RtwIS/d7DtwJEa2aezlWgxZY50xphiIMA1ISlVDj9/uPA1OJQJfz1rdzTqNIUFBXDf2SnM3biPSSt00jsX0JytVHULCoc+/yT64HJY84fd0ahy3HhGYwQYPX1DjezP2Ur0ehG5R0QCHbd7gZrtva1U/Y7Q5RaYOxK2LbA7GnWaBndpQJP4cF78dSVFNTwskQ/QnK2UK3S6gSMhdWHS01CsA964m/rRoVzYvh5fzN1cIxN7OVuJvh3oCWwDtmJNJzvcVUEpVaGz/g0RteHn+6G45mcnUtUn0N+Ph89rwZrdOXyzYKvd4XgbzdlKuYJ/IBsaXwe7luo1Om7qll5NOJRfxLi5rp8K3NnROXYbY642xtR2TPd6rTFGz8GqmhcSZY3WsWMRzPvI7mjUaRrQti4dGkTz2h+ryS3QH0XVRXO2Uq6zu/aZULcdTH4WCvPtDkcdp21iFGc0i2P0jI3kF7r2bIGzo3MkiMjjIvKBiIwqubk0MqUq0vZyaNLPGmooe6fd0ajTICI8dn5LdhzM5X2dDrzaaM5WyoXED/qPgP0bYcFYu6NR5bi1VxN2ZuUy4W/XTgXubHeOH4Ao4E9gQpmbUjVPxJrJsDDPGq1DebTuTeK4qEN9Xv9zDZ/Pcf3pNx+hOVspV2rWHxqdCVNegjydOMrd9GmeQFRoIAs2HXDpfpy9WjvMGPOISyNRqirimlqD30/5D3S8HpqeZXdE6jS8cmV7cnILePy7vwnwE67q0sDukDyd5mylXEkEzn4KPjoH5rwHvR+2OyJVhoiQEBnM3kN5Lt2Psy3RP4vIQJdGolRVnXk/xDaBCQ9BQa7d0ajTEBzgz3vXd6ZXSjyPfLuEb+brhYanSXO2Uq7WoCu0uABmvAmH99kdjTpOXHgQe3Jc22fd2Ur0vVhJ+YiIZIlItohkuTIwpSoVGGJ169i3Dma8bnc06jSFBPozcmgaPZvG8fDXi/lh0Ta7Q/JkmrOVqgn9n4D8HJj+qt2RqOPERwazJ8cNWqKNMZHGGD9jTKgxppbjcS2XRqaUM5qeZV1oOO1V2KsXpnm6kEB/PhzahS7Jsdw/fhE/L3HtRSHeSnO2UjWkdivocA3M+QAO6g9/dxIfHsReN2mJRkRiRKSriPQuubkyMKWcdt7zEBAMEx7UqVi9QGiQP6OGdaFzoxjuHbeIX5fusDskj6Q5W6ka0vdRwED6C3ZHosqIiwjm4JEClw5z5+wQd7cAU4HfgKcdf0e4LCqlqiKyLpz1BKyfDMu+tTsaVQ3CgwMYfWNXOiRFcdfnC/lj+S67Q/IomrOVqkHRDa3ZdBd9Bpmr7Y5GOcRFBAGw75DrWqOr0ie6C7DJGNMP6AgccFVQSlVZl5uhXir8+hjkHrQ7GlUNIoIDGHNTV9okRnHHZ/OZvFLnCqkCzdlK1aReD0JgmDV/gXIL8RHBAC7tF+1sJTrXGJMLICLBxpiVQAuXRaVUVfn5w4WvQc5u+Os5u6NR1aRWSCAf39SVFnUjue3T+UxZnWl3SJ5Cc7ZSNSk8HnreDSt+hG3z7Y5GAfGOlui9btASvVVEooHvgT9E5Adgk6uCUuqUJHayTqnNGwnbF9odjaomUaGBfHpzN5olRDD84wxmrN1jd0ieQHO2UjWtx50QFg9/Pm13JAqIC7daovfa3RJtjLnUGHPAGDMCeAL4CLjEZVEpdarO+reVxH6+H4qL7I5GVZPosCA+vaUbjePDuXnsPGat22t3SG5Nc7ZSNgiOtCZd2TAF1v1ldzQ+r6RPtG3dOUQk9vgb8DcwHYhwWVRKnarQaBjwgtUSnTHK7mhUNYoNtyrSDWLCuHnsPOZt1MkNjqc5Wymbpd0IUQ2t1uhi140KoSoXERxAcICfS4e5q6wlej6Q4fh7/C3DZVEpdTraXg6N+8CkZwjK2293NKoaxUcE89mt3agbFcKwUXOZv0k/3+NozlbKTgHB0O9x2LEIVvxgdzQ+TUSIjwh26ayFJ61EG2MaG2OaOP4ef2visqiUOh0icMGrUJhL03XaGu1takeG8MWt3aldK4QbRs1l0ZYDdofkNjRnK+UG2l8FtVvDpP+DogK7o/FpcRFBbjE6hw7crzxLfDM4837q7J4K6ybbHY2qZnVqhfD5rd2IDQ9iyEdz+HurDmt4PM3ZStnEzx/6Pwn71lljRyvbxIUHsfeQzZVoHbhfeaQzH+BISF1rJsOCXLujUdWsXlQon9/ajVohgVz/0RyWbdeKdAnN2UrZrPkAaNAN0v8D+YftjsZnxUcE29onuoQO3K88T2AIq5vfbrUGzHjD7miUCyTFhDFueHfCg/y5/sM5bMnWC3kcNGcrZScROHsEZO+AuR/YHY3PinNUoo0xLtm+TraivNr+2I7Q5jKY9l/Yu87ucJQLNIgN4/NbuxMc4M9L846wZle23SG5A83ZStmtUU9IORemvwpH9CJoO8RHBJFfVExWbqFLtq+TrSjvd97z4B8EEx8CF/0aVfZKjg/n81u74S/CNSPnsHZ3jt0h2U1ztlLuoP+TkJsFM960OxKfVDJWtKsmXNHJVpT3q1UP+j9hDX6/7Du7o1Eu0iQhgn92CQEM146czYY9h+wOyTaas5VyE3XbQbsrYfZ7kL3T7mh8TnyEY9ZCF039XZXROTqJyD1Ae2CrMcZ1PbWVqm5dboF6HeDXx6xWAeWV6kf48fmt3SkstirSm/f67gU9mrOVchP9HofiApjykt2R+BxXT/3t7OgcTwJjgTggHhgtIv92SURKuYKfP1z4GuTsgsnP2R2NcqHmdSL59OZuHCko4pqRs9myz/cq0pqzlXIjsY2h842wYKxem1PD4h3dOTJdNEKHsy3R1wFdjDFPGWOeAroDQ1wSkVKuktgZutxsXSm9fZHd0SgXal2/Fp/e3I3s3AKuGTmbbQeO2B1STdOcrZQ76f2wdW2ONuLUqJhwN+gTDWwHQso8Dga2VX84SrnYWU9AWDz8fD8UF9kdjXKhtolRfHpLNw4eKeDakbPZedCnxgrXnK2UO4msA93vgKXfwI7FdkfjMwL9/YgJC3TZWNEnrUSLyFsi8iZwEFgmImNEZDSwFB1zVHmi0GhrtI7tC2D+aLujUS7WPimaj2/qyt6cfK4ZOZvdWd5dkdacrZQbO+MeCI2BSc/YHYlPiYsIdtnU35W1RGcA84HvgMeByUA68C/gB5dEpJSrtbsCGveBP5+BnN12R6NcrGPDGMbc2IVdWblcM3I2mdmumwLWDWjOVspdhURBrwdh7Z+wYZrd0fiMuPAgl7VEB5zsSWPMWJfsVSk7icAF/4X3esJv/4LLR9odkXKxtORYRg/rwrDR87h25GzGDe9OnGPoI2+iOVspN9flFmu4uz9HwC1/Wscj5VLxEcGs2OmaUbmcHuJOKa8SnwJn3Ad/fwnrp9gdjaoB3ZrE8dGwNLbsP8x1H85hv4vGDVVKqQoFhkLfR2FbBqycYHc0PiE+wnUt0VqJVr6r1wMQ0xgmPACFXn2KXzn0bBrPh0O7sH7PIa7/aA4HDxfYHZJSytd0uBbiUqy+0XqBu8vFRQRz8EgB+YXF1b7tKleiRaRutUehlB0CQ+GCV2DvWp2S1YecmRLPB0M6s2ZXDkNGzeHgEe+uSGvOVsrN+AdYs+juWQWLx9kdjdcrmfp7nwvOPp5KS/TEao9CKbs0OxtaXwJTX4Z96+2ORtWQvi1q8971nVixI4sbRs0lO9erK9Kas5VyN60GQf1OkP4CFHj3qEF2K5m10BUjdJxKJVp7wSvvMuAFaxD8iQ+DMXZHo2pI/1Z1eOfaTizddpBho+eRk1dod0iuojlbKXcjAmePgINbIOMju6PxagmRjglX3KQlWocyUN6lVn0461/WsEPLv7c7GlWDzm1Tl7eu6ciiLQe4afQ8Dud7ZUVac7ZS7qhJH2jSD6a+ArmuGT1ClWmJdsHwplWuRBtj3q32KJSyW5dboW57+PUxTWY+5vx29Xh9cCoZm/Zx85gMjuR714U+mrOVcmP9n4Qj+2DW23ZH4rVK+kTvPeQGlWilvJJ/AFz4OmTvtPqoKZ9yUYf6vHpVKrM37OXWjzPILfCuirRSyk0ldrKuy5n5NuRk2h2NV4oIDiAowM8lw9xpJVqpEkmdIe0mmPM+7FhsdzSqhl3SMZGXr+jAjHV7uO2T+VqRVkrVjLOegMJcmPaK3ZF4JREhISKYTLsuLBSROiLSyXGrU+1RKOUu+j8JYXHw8/06fqcPuqJzEv+5rB1TVmdyx2cLXDKuaE3QnK2UB4lvBp2GwLyPYP8mu6PxSnEumnDlpJVoEUkVkdlAOvCS4zZFRGaLSCdndiAiA0RklYisFZFHy3m+t4gsEJFCEbniFMqgVPUJjYbznodt82H+GLujUTYY3KUhz17Slr9W7uauzxdQUOQ5FWnN2Up5qD6PgJ8/TH7e7ki8Ulx4kC19oscA9xpjWhljznbcWgL3AaMr27iI+APvAOcDrYFrRKT1cattBoYBn1ctdKVcpN2V0Lg3THoacnbbHY2ywfXdG/H0oDb8vnwX93yx0JMq0mPQnK2U56lVH7rdBkvGw65ldkfjdeIigm3pEx1ujJlz/EJjzGwg3IntdwXWGmPWG2PygXHAxcdta6MxZgngMUcp5eVEYOB/If8w/P5vu6NRNrmhZzJPXNiaX5bu5P7xiyj0jIq05mylPNUZ90FILZj0f3ZH4nXiHZVoU81zQQRU8vwvIjIB+BjY4ljWABgK/OrE9hPLvA5gK9CtqkECiMhwYDhAnTp1SE9Pr/I2cnJyTul1ns5Xyw2nV/bkBpeSvGQ8i6QtB2LaV29gLuarn3l1l7spcFWLQL5csoO9mbu5tX0wfuLWc5d4ZM72hf9XXygj+EY5XVnGhvUG0WT1Jyz44T2yolq5ZB/O8LbP8cDOAvKLipn4ZzrhgVYOr44ynrQSbYy5R0TOx2qJSHQs3ga8Y4yp0alkjTEfAB8ApKWlmb59+1Z5G+np6ZzK6zydr5YbTrPsZ3SDd+eSuvVjuGgGBARXa2yu5KufuSvK3bcvNJq8lpd/W0Vi/Vheurw9fn7uWZH21JztC/+vvlBG8I1yurSM+V3hzT/otPcHGHS7dWbUBt72Oe6P2sq4VYtpldqFJgkRQPWUsbKWaIwxvwC/nOL2t2G1gpRIcixTyv0FhlrdOj67HGa+Cb0ftjsiZZM7+zWjoKiY1/9cQ4Cf8Pyl7dy5Iq05WylPFRQGff4JEx6ANb9D8/PsjsgrlMxauPdQPk0Sqm+7pzxOtONUXWXmASki0lhEgoCrgR9PdZ9K1biUs6H1xda0rPs22B2NstG9/VO4+6xmjJu3hSd+WFrtfetcTXO2Uh6i01CIaQx/Pg3FeulBdYiPcM3U36cz2UqlzTDGmELgLuA3YAXwpTFmmYg8IyKDAESki4hsBa4E/icielmqci8D/gN+ATDxYfCwipOqPiLCA+c05/Y+TflszmZG/LjM0yrSmrOV8gT+gXDWv2H3Mlj6td3ReIV4x9Tfew5V7wgdlXbnqIgx5n9OrjcRmHjcsifL3J+HdcpQKfdUqz70+xf89his+NFqmVY+SUR4ZEALCouK+XD6Bno0jWNA23p2h+UUzdlKeZA2l8GMN+CvZ61pwQOC7I7Io8WEW+/f3mqetfB0unPcWJ2BKOXWug6Huu3gl0chL9vuaJSNRIR/XdCK96/vzHlt6todjtM0ZyvlQfz84Oyn4MAmWDDW7mg8XqC/H5/e3I0r0xpUvnIVnE53jqerLQql3J1/AFz4OmTvgMkv2B2NspmIMKBtXcS9h7s7nuZspTxJ0/6Q3AumvAh5OXZH4/HOTIknMTq0Wrd50u4cIrKkoqeAOtUaiVLuLikN0m6EOe9Bh6uhnmeNHa28n+ZspbyICPR/Cj46G2a/B310hCh3U1mf6DrAecD+45YLMNMlESnlzvo/CSt+soYfuul365SbUu5Dc7ZS3qRBF2h5oTXMatpNEB5nd0SqjMpqAD8DEcaYTcfdNgLpLo9OKXcTGgPnPgtb52k/NeWONGcr5W3OegLyc2D6q3ZHoo5z0kq0MeZmY8z0Cp671jUhKeXm2g+2+qn9+RTkZNodjVKlNGcr5YVqt4QO18LckXBwq93RqDL0XLRSVSUCF7wK+YfhjyfsjkYppZS36/soYCD9P3ZHosrQSrRSpyKhOZxxLyz+AjZMszsapZRS3iy6AXS5FRZ9Bpmr7I5GOWglWqlT1fshiG5kXWRYWL2zICmllFLH6PUABIbDX/9ndyTKQSvRSp2qwFAY+ArsWW1dOa2UUkq5Sng89LzbGiFq63y7o1FoJVqp09P8XGg1CKa+DPs32h2NUkopb9bjTgiLty5sN8buaHyeVqKVOl0D/gN+ATDxYU1qSimlXCc4Avr8EzZOg/WT7Y7G52klWqnTFZUI/R6HNb9bp9mUUkopV+k8DKIbwp8joLjY7mh8mlailaoOXW+DOu3g10chL9vuaJRSSnmrgGDo9y/YsRiWf293ND5NK9FKVQf/ALjwNcjaruN4KqWUcq12V0Lt1vDXs1BUYHc0Pksr0UpVlwZdoPMNMPs92LHE7miUUkp5Kz9/6P8U7FsHGaPtjsZnaSVaqerU/ykIi4VR51ktBLlZdkeklFLKGzU/Dxr2hF8ehne6w5SXYe86u6PyKVqJVqo6hcXCzb9D8wHWsHdvdIBZ70Jhnt2RKaWU8iYicO04a76C0GiY/Cy81Qn+1wdmvAkHttgdodfTSrRS1S22CVw5GoanQ7328Ntj8FYaLPoCiovsjk4ppZS3CImCrrfCTb/C/cvg3GetyvUfT8DrbeGj82DOB5Cz2+5IvZJWopVylfodYegPMOR7q4X6+9vh/TNh1a86nrRSSqnqFZVkzWg4PB3uXgBn/RvysqzuHv9tAWMHwfyxcHif3ZF6Da1EK+VqTfvBrZPhitFQmAtfDIbR58PmOXZHppRSyhvFNYXeD8Mds+Afs6DXg3BwC/x0D7zSHD67ChaP1yFZT1OA3QEo5RP8/KDtZdDqIlgwFtJfhFHnQosLoP+TULul3REqpZTyRnVaW7d+/4Idi2DpN7D0O1jzGwSEQMq50PZy60LFwFC7o/UoWolWqib5B0KXW6DDNTD7XZj+BrzXAzpcC/0es07HKaWUUtVNxOpmWL8jnP0MbJ1rVaiXfQcrfoSgCGgxENpejhT72x2tR9BKtFJ2CAq3TrV1vgmm/RfmjYS/v4Juw+HMB6w+1EoppZQr+PlBw+7W7bwXYNN0q0K9/Ef4+0t6BkRAzmXQ5jJI7mVNKKZOoH2ilbJTeBwMeB7unm+dTpv5NryRCtNehfzDdkenlFLK2/kHQJO+MOgteGgNXPsle+PSYOm38Mkl8GpLmPAQbJoFxcV2R+tWtBKtlDuIbgiXvgf/mAGNesCkp63xPjNGQ1Gh3dEppZTyBQFB0Pw8Vra6Hx5eC1d9DI16wsJPYPQAa9i83/4F2xboKFN4UXeOgoICtm7dSm5uboXrREVFsWLFihqMyj34arnBE8vuBx1HQLvHIPcAFORBxlQIjYLAMKe3crrlDgkJISkpicDAwFPehlInUzZne973tOp8oYxglXPDhg2aP7xBYCi0vti65WXDql+sLh9z/gez3oaYxtYZ1LaXWxcu+iCvqURv3bqVyMhIkpOTEZFy18nOziYyMrKGI7Ofr5YbPLzsxljThmdvt4bGC/SDWvUhuPLynE65jTHs3buXrVu30rhx41PahlKVKZuzc3JyPPd76iSPzkVVkJWVRX5+vuYPbxMcCe2vsm6H98HKn60K9fRXYdorkNDKUaG+zBpez0d4TXeO3Nxc4uLiKqxAK+VxRKwW6ISWVnePogLYu9a6ubC/tIgQFxd30rM6Sp0uzdneSfOHDwiLhU5DrcnEHlzl09OOe01LNKDJWHknEQiLg5AYOJwJ2btgzyoIjYHIehAQ7IJd6ndJuZ7+n3kn/Vx9SERta9rxrrfCwa3WcHlLv7GmHf/jCWjQ3WqhbnOJta6X8ZqWaHewc+dOrr76apo2bUrnzp0ZOHAgq1evPulrIiIiANi+fTtXXHEFAGPGjOGuu+6qdH/Jycns2bPnmGVjxowhISGB1NRUWrZsyWuvvVbh63/99Ve6du1Ky5YtSU1NZfDgwWzevLnS/Vanm266idq1a9O2bdtK101NTeXqq68+Zlnfvn3JyMgofbxx48bSbaWnp5OUlFT6Xjz00EOl653sfRoxYgSJiYmkpqbSunVrvvjii9LnVq9ezcCBA0lJSaFTp05cddVV7Nq1y6myzp8/n3bt2tGsWTPuueceTDkXZfzwww+0b9+e1NRU0tLSmD59OgCLFi2ixxln0KbbWbQ/7zrG/zYbjhyE3Sv468dxdOrUkbZt23LDDTdQWGhdiHjw4EEuuugiOnToQJs2bRg9evQx+8rKyiIpKcmp/zWlvJHm7KqrSs5WPsYHpx3XSnQ1McZw6aWX0rdvX9atW8f8+fN54YUXnK5g1a9fn6+//rpaYhk8eDCLFi1ixowZPPfcc2zduvWEdZYuXcrdd9/N2LFjWblyJYsWLeK6665j48aNJ6xbUilzhWHDhvHrr79Wut6KFSsoKipi2rRpHDp0yOnt9+jRg0WLFrFw4UJ+/vlnZsyYUfrc8e/Tli1HTz3df//9LFq0iB9++IHbbruNgoICcnNzueCCC/jHP/7BmjVrWLBgAXfccQeZmZlOxfKPf/yDkSNHsmbNGtasWVNuufv378/ixYtZtGgRo0aN4pZbbgEgLCyMjz/+mGXLlvHrr79x3+PPcCC4HsUh0dxw+32Me/Npls78g0YNGzB27FgA3nnnHVq3bs3ixYtJT0/nwQcfJD8/v3RfTzzxBL1793b6vVTKm7hzzi6bi0p4Ws5WPq68accPbPa6ace1El1NJk+eTGBgILfffnvpsg4dOtCrVy9ycnLo378/nTp1ol27dvzwww8nvL5sCyrAli1b6Nu3LykpKTz99NOnFFNcXBzNmjVj586dJzz34osv8vjjj9OqVavSZYMGDSqtVPXt25f77ruPtLQ03njjDSZNmkTHjh1p164dN910E3l5ecCxLSsZGRn07dsXsFpzhwwZQo8ePUhJSWHkyJHlxti7d29iYyufWOSLL75gyJAhnHvuueW+f5UJDQ0lNTWVbdu2nfBcyfu0Y8eOE55LSUkhLCyM/fv38/nnn9OjRw8uuuii0uf79u3rVIvMjh07yMrKonv37ogIQ4cO5fvvvz9hvYiIiNJToYcOHSq937x5c1JSUgDr4F27dm0y9x1kb1E4QaFhNG/dDnJ2ck7nZnzz5RdgihERsrOzMcaQk5NDbGwsAQFWD6758+eza9cuzj333MrfPKW8kDvn7PJykaflbKVK1WlttUrfs9Bqpe5+O+xaCt8Nh5ebwfghsMozf5h5VZ/oEk//tIzl27NOWF5UVIS//6lNZdm6fi2euqhNhc8vXbqUzp07l/tcSEgI3333HbVq1WLPnj10796dQYMGnbTf2Ny5c1m6dClhYWF06dKFCy64gLS0tCrFvHnzZnJzc8ut5C1btuyY7g3lyc/PJyMjg9zcXFJSUpg0aRLNmzdn6NChvPfee9x3330nff2SJUuYPXs2hw4domPHjlxwwQXUr1+/SmUoMX78eP744w9WrlzJW2+9xbXXXlul1+/fv581a9aU2/Ja8j61b9/+hOcWLFhASkoKtWvXPulnvGrVKgYPHlzuc+np6Wzbto2kpKNTeiclJZVboQf47rvveOyxx9i9ezcTJkw44fm5c+eSn59P06ZNEREKC4vIWL+XtPat+Hri62zZvImInI3cNeRSBl1/G/Xr1yc7O5vx48fj5+dHcXExDz74IJ9++il//vlnuTEoVZNe/H0da/YcqdZtenLOLi8XeVrOVuoElU07fsUoq/+0B9GW6BpgjOHxxx+nffv2nH322Wzbtq3SU4bnnHMOcXFxhIaGctlll5X2jXXG+PHjad++Pc2aNeOOO+4gJCTkpOvv3buX1NRUmjdvziuvvFK6vKRSuGrVKho3bkzz5s0BuOGGG5g6dWqlcVx88cWEhoYSHx9Pv379mDt3rtNlKCsjI4P4+HgaNmxI//79WbhwIfv2WX2qyjuolV02a9YsOnToQGJiIueddx5169Ytfe5k79Nrr71GmzZt6NatG//6178qjbFFixYsWrSo3Ft0dHSVynvppZeycuVKvv/+e5544oljntuxYwdDhgxh9OjR+Pn5ISKMGzeO+++/n65n9iMyIQn/oFAKA8L4beJPpKYksX3JFBbNnsJdd91FVlYW7777LgMHDjymUq+UOkpz9unlbKUqVTLt+MCX4YEVkNQVfroP9m+yO7Iq8cqW6IpaH1w5TmebNm0q7B/32WefkZmZyfz58wkMDCQ5ObnS4X+OrxxW5WrnwYMH8/bbb5ORkcG5557LWWeddUK527Rpw4IFC+jQoQNxcXEsWrSIV155hZycnNJ1wsPDK91XQEAAxY5pQI8v0+mUoawvvviClStXkpycDFgXxH3zzTfceuutxMXFsX///tJ19+3bR3x8fOnjHj168Ouvv7Jhwwa6d+/OVVddRWpqKnDi+zRo0KDSSvb999/PQw89xI8//sjNN9/MunXraNOmDVOmTCk3xspaohMTE4/pm75161YSExNPWu7evXuzfv169uzZQ3x8PFlZWVxwwQU899xzdO/e/ZgyTps2DYDff/+d1WvWkBtal9HfT+bRe4cjxQU0i/WjcWICK+dPY9aMGUybMYN3332XnJwc8vPziYiI4D//+c9J41HKVR45t2mNj6Hszjm7bC4qG6+n5GylqsQ/EC4fCe/3gm9vhWETranIPYC2RFeTs846i7y8PD744IPSZUuWLGHatGkcPHiQ2rVrExgYyOTJk9m0qfJfWn/88Qf79u3jyJEjfP/995xxxhlVjiktLY0hQ4bw3nvvnfDcP//5T5577rljZtA6fLj8sYdbtGjBxo0bWbt2LQCffPIJffr0Aaz+dfPnzwfgm2++OeZ1P/zwA7m5uezdu5f09HS6dOlS5TIUFxfz5Zdf8vfff7Nx40Y2btzIDz/8UDpiRt++ffn0009LR7oYO3Ys/fr1O2E7jRs35tFHH+XFF1884bmS9+mNN9444blBgwaRlpbG2LFjufbaa5k5c+YxXSymTp3K0qVLK22JrlevHrVq1WL27NkYY/j444+5+OKLT9jf2rVrS8uyYMEC8vLyiIuLIz8/n0svvZShQ4eWjghQYvfu3QDk5eXx4osvlvbxbNioEZNmLYLardlVEMGqdZtpkhDKZ//9J5sXprNx5RJeefllhg4dqhVo5XPcOWeXl4s8JWcrdUpikuHC12DLHJj6kt3ROE0r0dVERPjuu+/4888/adq0KW3atOGxxx6jbt26XHfddWRkZNCuXTs+/vhjWrZsWen2unbtyuWXX0779u25/PLLK+xb1759e5KSkkhKSuKBBx444flHHnmETz/9lOzsY6+AbdeuHW+88QZDhw6lRYsWnHHGGaxYsaLcvsYhISGMHj2aK6+8knbt2uHn51daUXvqqae49957SUtLO6G/efv27enXrx/du3fniSeeKLdv3TXXXEOPHj1YtWoVSUlJfPTRR8c8P23aNBITE495be/evVm+fDk7duxg+PDhREZG0qFDBzp06EBOTk6F/QZvv/12pk6dWu7V7I888gijR48+4X0CePLJJ3n11VcJDg7m559/5q233iIlJYXWrVvz7rvvkpCQUO7+jvfuu+9yyy230KxZM5o2bcr5558PwPvvv8/7778PWAe1tm3bkpqayp133sn48eMREb788kumTp3KmDFjSE1NJTU1lUWLFgHw8ssv06pVK9q3b89FF13EWWedBVijb8ycOZN27dvT/4JLefHlV4hveQZE1IGCQ7BvHWRttyZuKXLd1fxKuSN3ztnl5SJPydlKnbJ2V0CHa2Dqy7Bppt3ROEXKG6vW3aWlpZmyYwODNQRa2auWy+Mr064ez45yjxgxgoiIiEovhHE1/cwrYIrhyAE4vBfycwCxZpwKi4egcBBx6jvlbtLT00tHG3BXIjLfGFO1K848XGU52xe+p+5exurK2SXl9MT84SxPyDOny7Yy5mVb3TqKCuAf061JxVykKmWsKG9rS7RSvkj8rKlb41OsacXD4iD3IOxdA5mr4FCmVdFWSimlakpwJFzxEeTshJ/uBTdv6PWMntvK44wYMcLuEJSzAkMhugHUqg9H9sOhPdb0rVl7YMIoSLvZGudTKeW1NGcrt5HY2RpX+s8RsPAT6DTU7ogqpC3RSimLnz+Ex0NCC4hvblWuF3wC7/WAUQNgyVdQmGd3lEoppbxdz3uhcW/45RHIXG13NBXSSrRS6lgiVr/osDhr/M5z/g+yd8K3t8Crra3WAQ8by1MppZQH8fODSz+AgBD45ma3bcDRSrRSqmLhcXDGPXD3Arj+W2tw/BlvwBsd4LMrralai4vsjlIppZS3qVUPLn4Hdi6BSc/YHU25tE+0Uqpyfn7QrL91O7gV5o+FBWPhi8EQ1RDShkHHoRDh3HB/SimlVKVaDoQut8Cst6FJP0g52+6IjqEt0dVo586dXH311TRt2pTOnTszcOBAVq8+eV+eiIgIALZv3146icaYMWO46667Kt1fcnIye/bsOWbZmDFjSEhIIDU1lZYtW/Laa69V+Ppff/2Vrl270rJlS1JTUxk8eDCbN2+udL/VZcuWLfTr14/WrVvTpk2bcicYKCs1NZWrr776mGV9+/al7NBZGzdupG3btoA1fE1SUlLpe1F26KaTvU8jRowgMTGR1NRUWrduXTqxC8Dq1asZOHAgKSkpdOrUiauuuqrS6YBLzJ8/n3bt2tGsWTPuueceyhtecuXKlfTo0YPg4OBjpvM92Xu1aNEiunfvTmpqKmlpaaVT9R48eJCLLrqIDh060KZNG0aPHl36mn/+85+0adOGVq1aVRhLhaKS4Kx/wf3L4MqxEJtstRK82gq+uAamvAQrJ1hdPtz8ymrl2zRnV01Vc7ZS1eLcZ6F2a/juNpj8PKz+HQ7vszsqizHG426dO3c2x1u+fPkJy46XlZVV6Tqnqri42HTv3t289957pcsWLVpkpk6detLXhYeHn7Bs9OjR5s4776x0n40aNTKZmZkVvnbPnj0mLi6u3Pfm77//Ns2aNTvmuR9++MFMmTLlhHULCgoqjeVUbN++3cyfP98YY302KSkpZtmyZeWuu3z5ctO2bVtTv359k5OTU7q8T58+Zt68eaWPN2zYYNq0aWOMMWby5MnmvPPOM8YYc/jwYdOiRQszffp0Y0z579PmzZuNMcY89dRT5uWXXzbGGLN69WoTGRlp8vPzzZEjR0yzZs3Mjz/+WLq/yZMnm7///tup8nbp0sXMmjXLFBcXmwEDBpiJEyeesM6uXbvM3LlzzeOPP14aQ2Xv1TnnnFO6rQkTJpg+ffqYrKws89xzz5l//vOfxhhjdu/ebWJiYkxeXp6ZMWOG6dmzpyksLDSFhYWme/fuZvLkyeW+507bvcqYiY8Y80aqMU9FGfNULev2fANjPhpgzM8PGpMx2pgtGcbkHXJ+u1VUXjncDZBh3CCP1uStspztytxckZrO2VlZWU7n7JJcVJan5OySz7JK+cPDeEKeOV1uV8ZdK4x5v5cxI6KPHl/e6GjMN8ONmfOBMdsWGFOYX6VNVqWMFeVtbYmuJpMnTyYwMLB0ViiADh060KtXL3Jycujfvz+dOnWiXbt2/PDDDye8vmwLKli/+Pv27UtKSgpPP/30KcUUFxdHs2bN2Llz5wnPvfjiizz++OPHDIY/aNAgevfuDVgtvPfddx9paWm88cYbTJo0iY4dO9KuXTtuuukm8vKsTv5lW1YyMjJKBy4fMWIEQ4YMoUePHqSkpDBy5MgTYqhXrx6dOnUCIDIyklatWrFt27Zyy/LFF18wZMgQzj333HLfv8qEhoaSmppa7vZL3qcdO3ac8FxKSgphYWHs37+fzz//nB49enDRRReVPt+3b99jPreK7Nixg6ysLLp3746IMHToUL7//vsT1qtduzZdunQhMDDwmOUne69EhKysLMBqfS6ZZUxEyM7OxhhDTk4OsbGxBAQEICLk5uaSn59PXl4eBQUF1KlTp9IynFRCczj/P3DPQnhsK9z8pzWFa7srwBTB4i+sMT8/PAuerw9vdYYvb7Bmplr1CxzYAsU6LrWqOe6cs8vLRZ6Ws5WqVrVbwm1T4dEtcMPP0P8pa46DdX/BxIfgg77wQhJ8dB789i9Y9p3V9dDFXN4nWkQGAG8A/sCHxpj/HPd8MPAx0BnYCww2xmw8rZ3+8ijs/PuExaFFheB/ikWu286qJFRg6dKldO7cudznQkJC+O6776hVqxZ79uyhe/fuDBo0CBGpcHtz585l6dKlhIWF0aVLFy644IIKp5GtyObNm8nNzS23krds2bJKZ6bKz88nIyOD3NxcUlJSmDRpEs2bN2fo0KG899573HfffSd9/ZIlS5g9ezaHDh2iY8eOXHDBBeVOIwvWAWnhwoV069at3OfHjx/PH3/8wcqVK3nrrbfKner2ZPbv38+aNWtKDzhllbxP7du3P+G5BQsWkJKSQu3atU/6Ga9atYrBgweX+1x6ejrbtm0jKSmpdFlSUtIpH3yOf69ef/11zjvvPB566CGKi4uZOdOaLvWuu+5i0KBB1K9fn+zsbMaPH4+fnx89evSgX79+1KtXD2MMd911V/XOLBYcAQ26WLcSxcVwYBPsWgo7l1p/dyyC5d+XeaFASC0IjoKQkluto/eDa51kWbS1XJ02O3J28OSnYO+q09nEiTw4Z5eXizwtZyvlEsER0LiXdQOry+DBLbB1HmzNsG5zP7D6UAM0HwAXvQmRp9lQVAGXVqJFxB94BzgH2ArME5EfjTHLy6x2M7DfGNNMRK4GXgTKr414KGMMjz/+OFOnTsXPz49t27axa9cu6tatW+FrzjnnHOLi4gC47LLLmD59utMJefz48UydOpWVK1fy9ttvExISctL19+7dS//+/Tl8+DDDhw8vTdQllcJVq1bRuHFjmjdvDsANN9zAO++8U2lCvvjiiwkNDSU0NJR+/foxd+5cLrnkkhPWy8nJ4fLLL+f111+nVq0TK0IZGRnEx8fTsGFDEhMTuemmm9i3bx+xsbHlHtTKLps1axYdOnRgzZo13Hfffce85yd7n1577TVGjx7N6tWr+emnn05aToAWLVqwaNGiStc7XeW9V++99x6vvfYal19+OV9++SU333wz3333Hb/99hupqan89ddfrFu3jnPOOYdevXqxe/duVqxYwdat1q/0c845h2nTptGrVy/XBe7nB7GNrVuroy355GbB7uVWpTp7p/U496B1y8uCA5uPLsvLAk7ex7qXXzBkxDhRCY8+bpljeWCYNcSfj9KcbdGcfXo5W6kaIwLRDa1b28utZYV5VmPN2j9h+qvwbne46HVofXG1797VLdFdgbXGmPUAIjIOuBgom5AvBkY47n8NvC0i4uiDcmoqaH04kp1NZGTkKW/2ZNq0acPXX39d7nOfffYZmZmZzJ8/n8DAQJKTk8nNzT3p9o6vHJ6sBeR4gwcP5u233yYjI4Nzzz2Xs84664Ryt2nThgULFtChQwfi4uJYtGgRr7zyCjk5OaXrhIeHV7qvgIAAih2n4Y8vkzNlKCgo4PLLL+e6667jsssuK3cfX3zxBStXriQ5ORmArKwsvvnmG2699Vbi4uLYv39/6br79u0jPj6+9HGPHj349ddf2bBhA927d+eqq64iNTUVOPF9GjRoUOlB8v777+ehhx7ixx9/5Oabb2bdunW0adOGKVOmlBtjZS3RiYmJpZVWgK1bt5KYmFju+hWp6L0aO3Zs6QU+V155JbfccgsAo0eP5tFHH0VEaNasGY0bN2blypVMmTKF7t27l14gdf755zNr1izXVqIrElLLGjavYffK1y0uhvxsRyX7uMq2Y9n2NUtpkBB5dNnhvbBvw9F1iwtOvg+/gBMr1qWV8HKWNehmTVDjPWzJ2Xn9nibIRbm5Iu6cs8vmorLxekrOVspWAcGQ1Nm6tbkEvh0OXw6F9oPh/JcgNLr6dlVtWypfIrClzOOtwPHnfkrXMcYUishBIA445hJmERkODAeoU6cO6enpx2wkKiqK7OzskwZTVFRU6TqnqkuXLhw+fJg333yTG2+8EbBOF2ZlZbFr1y6io6PJzc3l999/Z9OmTeTk5JTGkp2dTU5ODsXFxWRnZx+zXmhoKN9++y3vvPPOCbGX9HUNDg4uXVbS1zU7O5sWLVowePBg3nnnHZ555tgxFu+8806uvfZa2rVrR4sWLQCry0NJDEVFRRw6dIjs7Gzq16/Phg0bWLRoEU2bNmXUqFF069aN7OxsGjRowLRp0zj33HP54osvSt/jvLw8JkyYwF133cWhQ4eYPHky//73v48pgzGG2267jaZNm3LrrbeW+9kUFxczfvx4Zs2aRb169QCYOnUqL730EldffTXdu3dn9OjRdOvWDRFh5MiR9OzZk+zsbA4fPowxhuzsbOLj47nvvvt49tlnGT16dLnv08svv8yIESPIy8sjMDCQ7Oxs+vXrR2pqKv/73/+45ppreO655/jqq68YMGAAADNmzCAmJobWrVszbdq0Cv8/IiIiCA8PZ9KkSXTp0oVRo0Zx2223Vfj/WDaGyt6runXr8ssvv9CrVy/S09Np2rQpRUVF1KtXj4kTJ5Kamsru3btZuXIltWvXJiEhgbFjx3LXXXdhjOGvv/7ijjvuOCGW3NzcE75n7ifMcbMqHDl1W7HO8ePgBMbgV5xPQOEhAgoPE1B4CP+iQ47HR5eV3vIOEXAok4DCjUfXLTq20rGow/9xIObEU+8ezJac7crcXJGaztlFRUVO5+ySXFSWp+Tsku15Rv44NTk5OV5bthLeVEZJeYJGQV/RaMmXbN2Xy7pmNwHVVMbyrjasrhtwBVafupLHQ4C3j1tnKZBU5vE6IP5k23XH0TmMMWbbtm3myiuvNE2aNDGtW7c2AwcONKtXrzaZmZmme/fupm3btmbYsGGmZcuWZsOGDcaYo1d6lx1VYvTo0ebiiy82ffv2Nc2aNTMjRowod3+NGjUy9erVM4mJiSYxMdHcf//9J1wlvm3bNlO7du1yy/7zzz+btLQ007x5c9OzZ09z9dVXm1WrVhljThz14s8//zSpqammbdu25sYbbzS5ubnGGGOmTp1qUlJSTOfOnc2DDz5o+vTpY4yxRrgYMmSI6d69u2nWrJn54IMPTtj/tGnTDGDatWtnOnToYDp06GAmTJhwzDrp6emmW7duxywrLCw0derUMdu3bzd5eXnmzjvvNO3atTPt27c3N910kzl0yBr9oezoHMZYI3TUr1/fbNiwodz3qU6dOiYrK+uY0TmMMSYjI8M0b97cFBUVmRUrVpjzzjvPNGvWzLRq1coMHjzY7Ny5s9zP53jz5s0zbdq0MU2aNDF33nmnKS4uNsYY895775WOELBjxw6TmJhoIiMjTVRUlElMTDQHDx486Xs1bdo006lTJ9O+fXvTtWtXk5GRYbKyssy2bdvMOeecY9q2bWvatGljPvnkk9L3b/jw4aZly5amVatW5v777y83Xk+8ut7lV5QXFhhzaK8xe9cbs22hMUcOVnkTuPHoHHblbDtG5zCmZnN2yegczuTsklx0PE/I2To6h3fwyjJunX9Mzq6O0TnEnEavicqISA9ghDHmPMfjxxwV9xfKrPObY51ZIhIA7AQSzEkCS0tLM2XHBgZYsWJFpRdHZbuwO4c7s6PcI0aMICIiotILYVxNP/NT58x3yt2kp6eXjjbgrkRkvjGmalec1RC7crYvfE/dvYzVlbNLyumJ+cNZnpBnTpeW8VgV5W1XD3E3D0gRkcYiEgRcDfx43Do/Ajc47l8B/HWyZKyUUsplNGcrpZSTXNon2lj95e4CfsMaLmmUMWaZiDyD1TT+I/AR8ImIrAX2YSVt5eGO78+nlHJ/mrN9l+ZsparO5eNEG2MmAhOPW/Zkmfu5wJWujkMppVTlNGcrpZRzvGrGQj2jqFT10O+Sqgn6f+ad9HNVvsJrKtEhISHs3btXv7xKnSZjDHv37q10wgelTofmbO+k+UP5Epd356gpSUlJbN26lczMzArXyc3N9ckvtq+WG3y37Kdb7pCQkGOmKVequpXN2b7wPfWFMoJVzujoaM0fyid4TSU6MDCQxo0bn3Sd9PR0OnbsWEMRuQ9fLTf4btl9tdzKc5TN2b7w/+oLZQTfKadS4EXdOZRSSimllKopWolWSimllFKqirQSrZRSSimlVBW5dNpvVxGRTGDTKbw0HthTzeF4Al8tN/hu2bXc7quRMSbB7iBqkhM52xM+t9PlC2UE3yinltE7VKWM5eZtj6xEnyoRyShv7nNv56vlBt8tu5ZbeRJf+Nx8oYzgG+XUMnqH6iijdudQSimllFKqirQSrZRSSimlVBX5WiX6A7sDsImvlht8t+xabuVJfOFz84Uygm+UU8voHU67jD7VJ1oppZRSSqnq4Gst0UoppZRSSp02r6tEi8gAEVklImtF5NFyng8WkfGO5+eISLINYbqEE2V/QESWi8gSEZkkIo3siLO6VVbuMutdLiJGRLzmimNnyi4iVzk+92Ui8nlNx+gKTvyvNxSRySKy0PH/PtCOONWxnPjcholIpogsctxusSPO0+EL30knPsfXynyGq0XkgA1hnhZfyTFOlLORo76wRETSRSTJjjhPlYiMEpHdIrK0gudFRN50lH+JiHSq0g6MMV5zA/yBdUATIAhYDLQ+bp07gPcd968Gxtsddw2WvR8Q5rj/D28ouzPldqwXCUwFZgNpdsddg595CrAQiHE8rm133DVU7g+AfzjutwY22h23r9+c/NyGAW/bHauLy+jR30lnc26Z9e8GRtkdtws+R4/PMU6W8yvgBsf9s4BP7I67imXsDXQCllbw/EDgF0CA7sCcqmzf21qiuwJrjTHrjTH5wDjg4uPWuRgY67j/NdBfRKQGY3SVSstujJlsjDnseDgb8KhflBVw5jMH+D/gRSC3JoNzMWfKfivwjjFmP4AxZncNx+gKzpTbALUc96OA7TUYnyqfs99VT+YL38mqfo7XAF/USGTVx1dyjDPlbA385bg/uZzn3ZoxZiqw7ySrXAx8bCyzgWgRqefs9r2tEp0IbCnzeKtjWbnrGGMKgYNAXI1E51rOlL2sm7F+fXm6SsvtOD3TwBgzoSYDqwHOfObNgeYiMkNEZovIgBqLznWcKfcI4HoR2QpMxGoNU/ZyNkdd7jit+rWINKiZ0KqNL3wnnT7WOLoMNuZoJcxT+EqOcaaci4HLHPcvBSJFxBvqTCWqWnc6hrdVopUTROR6IA142e5YXE1E/IBXgQftjsUmAVinj/titQiNFJFoOwOqIdcAY4wxSVin6z5x/C8o9/YTkGyMaQ/8wdGzht7El76TVwNfG2OK7A7EBXwlxzwE9BGRhUAfYBvgjZ/nKfG2D3wbULblIsmxrNx1RCQA6zTM3hqJzrWcKTsicjbwL2CQMSavhmJzpcrKHQm0BdJFZCNWn6cfveTiQmc+863Aj8aYAmPMBmA11gHckzlT7puBLwGMMbOAECC+RqJTFan0czPG7C2Tlz4EOtdQbNXFF76TTh1rHK7G87pygO/kGGe+k9uNMZcZYzpi1R0wxhyosQhdryr/zyfwtkr0PCBFRBqLSBDWF/jH49b5EbjBcf8K4C/j6F3u4Sotu4h0BP6HVYH2tH54FTlpuY0xB40x8caYZGNMMlZf8EHGmAx7wq1Wzvy/f4/V4oWIxGOdSl5fgzG6gjPl3gz0BxCRVlgHuMwajVIdz5kcVbYv4iBgRQ3GVx184TvpTBkRkZZADDCrhuOrDr6SY5z5TsaXaWF/DBhVwzG62o/AUMcoHd2Bg8aYHc6+OMB1cdU8Y0yhiNwF/IZ11ekoY8wyEXkGyDDG/Ah8hHXaZS1WZ/Or7Yu4+jhZ9peBCOArx7WUm40xg2wLuho4WW6v5GTZfwPOFZHlWKfgHjbGePSZFyfL/SDWafL7sS4AGuYlP5Y9lpOf2z0iMggoxMrPw2wL+BT4wneyCjn3amCcJ37vfCXHOFnOvsALImKwRri607aAT4GIfIFVhnhH//WngEAAY8z7WP3ZBwJrgcPAjVXavod95koppZRSStnO27pzKKWUUkop5XJaiVZKKaWUUqqKtBKtlFJKKaVUFWklWimllFJKqSrSSrRSSimllFJVpJVo5RZEpEhEFonIUhH5qbIZvETkdhEZegr7iRaRO8o8ri8iX59CyOVtO11EVonIYhGZJyKpVYlFKaXsICL/EpFljunWF4lIt0rWHyMiV5zCfpJF5Noyj9NE5M1Tifm47c5xxL1ZRDId9xc59pdzutsvZ3/DROTtKr5mo2Nc8OOXjxCRh6ovOlWTtBKt3MURY0yqMaYt1viwJx2L0hjzvjHm41PYTzRQWnF1zMZU5YPBSVxnjOkAvEvl06ofE4tSStU0EekBXAh0cky3fjawxUW7SwZKK9HGmAxjzD2nu1FjTDdjTCrwJDDecSxJNcZsdOb1jtmLlaoyrUQrdzQLSAQQkaYi8quIzBeRaY5ZsI759X6SdeqIyHeOluHFItIT+A/Q1NFK8bKjpWKpY/0QERktIn+LyEIR6edYPkxEvnXsY42IvFTFMkSIyCQRWeDY9sWOdY6JxbHuw45W7CUi8nQ1vZ9KKVWResCekunWjTF7jDHbAUSks4hMceTW3+TYGSU52Toi0kxE/nTk3gUi0hQr5/Vy5Lz7RaSviPzsWD9WRL535L7ZItLesXyEiIxynOlbLyJVrnSLyHOOOGaLSB3HsjEi8r6IzAFeOslx5EqxzpAuFpGpZTZbv7xjgohc48jzS0XkxQri+ZeIrBaR6UCLqpZHuRFjjN70ZvsNyHH89Qe+AgY4Hk8CUhz3u2FN0w4wAnioknXGA/eV2W4UVkvI0jL7LX2MNQPVKMf9lljTuoZgzZq23vH6EGAT0KCcMqQDaY779wHPO+4HALUc9+OxZkaScmI5F/jA8Zwf8DPQ2+7PRm9605v33rBmsV0ErMY6g9bHsTwQmAkkOB4PLpMfxwBXVLLOHOBSx/0QIAxr5rify+y79DHwFvCU4/5ZwCLH/RGOfQQ78udeILCCsgwD3j5umQEuctx/Cfh3mTL8DPg7Hld0HPkbSHTcjy6znxOOCUB9x3EjwZH3/wIu+f/27i9EyiqM4/j3p1QomxKmBUFdhAoatLBdlKi1Qd1EJEUXIanUTd0YQoE3hhD0B+kqCLrKLjawIiuIsLC2wqJy1TU0vdJAEBTBP/mf7eniPOo0vO/OzDrsn/p9YJjZd57zzjmwe855n/ecnSxzOOvfl+ecCczK8eDlif498GNsD9/CsMlihqQ9lOztH8A3knqAJVz7mnIoHelVLWIeBlYBRMQIcErSLaPUYSmlIyciDkj6E1iQ722PiFP5mfuBu6i+5Tkg6UbKwNR7pZrA65KWA39nG2+rKPtoPnbnzz3AfMpXrZqZdV1E/CWpD1gG9ANbJK0HdgL3UPpiKImIo03FF1bFSLqZMvHcmp9xAaChj66yFHgq47+VNEfSrHzvyyiZ8ouSjlH6zyNtNvESZbIMMAQ80vDexxEx0mIc2QFslvQR8GlD2aoxYQ4wGBHH8/gAsBz4rKHcMmBrRJzLmC+wKcuTaJsszkdEr6SZwDbKmujNwMkoa93qTGsjphsuNrweof5vZyWlo95EmZA/mcfmAn0RcVnSYUr2opmANyLivW5V2syslUwyDAKDkn4HVlP6sX0R8cAoRVUVk5Pobmq3/61yOaKkgivKns3n2nEkIl5Q2Wj5GDCUFxzXWyf7j/CaaJtU8up8LWVpxTngkKSnAVTc2xR/epSY7cCLeXy6pNnAGaCug/+RMuFF0gLgTuDgGNoQwAbg/lxXNxs4lhPofkrGgoq6bAOey6wIku6QNK/Tzzcza5ekhZLmNxzqpSxPOAjMVdl4iKQbJC1uKl4ZExFngCOSVuTxmzJB0m7/+xBlnfbp629ha6ONI5LujohfIuJV4Dhl2UadX4EHJd0qaTrwDPB9U8wPwApJM/Ji4/Fut8fGjyfRNulExG5gL6UDWgk8L2kY2Ac80Riaz3UxLwH9mVkZAhZFxAlgR276aP7vGe8C0zJ+C7AmbyGOpQ3ngbeBV4AB4L487yrgQMb8qy4R8TXwIfBzxn5C/YBjZtYNPcAHkvZL2gssAjZGxCXKuue3sm/dQ1nycFWLmGeBtXnOn4DbKf36SG7SW9dUj41AX8a/ScmGj6e6cWTTlY2ClHYM150gIo4C64HvMm4oIj5vitlFGV+Gga+A37rdEBs/unaXw2zqkPQOsCsi3p/oupiZmdn/jzPRNuVIeo2ye9obMszMzGxCOBNtZmZmZtYhZ6LNzMzMzDrkSbSZmZmZWYc8iTYzMzMz65An0WZmZmZmHfIk2szMzMysQ55Em5mZmZl16B+7RqO62ydQQQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "calib_lr = CalibratedClassifierCV(imb_lr, cv='prefit', method='isotonic')\n",
    "calib_lr.fit(X_valid, y_valid)\n",
    "calib_lr_y_score = calib_lr.predict_proba(X_test)\n",
    "#calib_lr_y_score = np.concatenate([1.0 - calib_lr_y_score, calib_lr_y_score])\n",
    "calib_lr_y_pred = np.argmax(calib_lr_y_score, axis=1)\n",
    "\n",
    "\n",
    "_ = plot_reliability_diagram([y_test[group_1_ids], y_test[group_2_ids], y_test],\n",
    "                         [imb_lr_y_score[group_1_ids], imb_lr_y_score[group_2_ids], imb_lr_y_score],\n",
    "                         [imb_lr_y_pred[group_1_ids], imb_lr_y_pred[group_2_ids], imb_lr_y_pred],\n",
    "                         plot_label = [\"imb_LR Group 1\", \"imb_LR Group 2\", \"Overall\"],\n",
    "                             \n",
    "                        )\n",
    "\n",
    "\n",
    "_ = plot_reliability_diagram([y_test[group_1_ids], y_test[group_2_ids], y_test],\n",
    "                         [calib_lr_y_score[group_1_ids], calib_lr_y_score[group_2_ids], calib_lr_y_score],\n",
    "                         [calib_lr_y_pred[group_1_ids], calib_lr_y_pred[group_2_ids], calib_lr_y_pred],\n",
    "                         plot_label = [\"Calib LR Group 1\", \"Calib LR Group 2\", \"Overall\"]\n",
    "                        )\n",
    "\n",
    "\n",
    "_ = plot_risk_vs_rejection_rate([y_test, y_test],\n",
    "                         [imb_lr_y_score, imb_lr_y_score],\n",
    "                         [imb_lr_y_pred, imb_lr_y_pred],\n",
    "                         plot_label = [\"imb_LR Group 1\", \"imb_LR Group 2\",],\n",
    "                          risk_func=balanced_accuracy_score,\n",
    "                          selection_scores=[None, None],\n",
    "                          subgroup_ids=[group_1_ids, group_2_ids],\n",
    "                          num_bins=10\n",
    "                        )\n",
    "\n",
    "_ = plot_risk_vs_rejection_rate([y_test, y_test],\n",
    "                         [calib_lr_y_score, calib_lr_y_score],\n",
    "                         [calib_lr_y_pred, calib_lr_y_pred],\n",
    "                         plot_label = [\"Calib LR Group 1\", \"Calib LR Group 2\",],\n",
    "                          risk_func=balanced_accuracy_score,\n",
    "                          selection_scores=[None, None],\n",
    "                          subgroup_ids=[group_1_ids, group_2_ids],\n",
    "                          num_bins=10\n",
    "                        )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train a fairness aware model\n",
    "\n",
    "Next she trains a new prediction model called Adversarial debiasing that explicitly enforces that the confidence scores are independent of the group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8180142994029631"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "adv_deb = AdversarialDebiasing(prot_attr='sex', random_state=1234567)\n",
    "adv_deb.fit(imb_X_train, imb_y_train)\n",
    "\n",
    "adv_y_score = adv_deb.predict_proba(X_test)\n",
    "adv_y_pred = adv_deb.predict(X_test)\n",
    "accuracy_score(y_test, adv_y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_reliability_diagram([y_test[group_1_ids], y_test[group_2_ids], y_test],\n",
    "                         [adv_y_score[group_1_ids], adv_y_score[group_2_ids], adv_y_score],\n",
    "                         [adv_y_pred[group_1_ids], adv_y_pred[group_2_ids], adv_y_pred],\n",
    "                         plot_label = [\"Adv Group 1\", \"Adv Group 2\", \"Overall\"]\n",
    "                        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_risk_vs_rejection_rate([y_test, y_test],\n",
    "                         [adv_y_score, adv_y_score],\n",
    "                         [adv_y_pred, adv_y_pred],\n",
    "                         plot_label = [\"Adv Group 1\", \"Adv Group 2\",],\n",
    "                          risk_func=balanced_accuracy_score,\n",
    "                          selection_scores=[None, None],\n",
    "                          subgroup_ids=[group_1_ids, group_2_ids],\n",
    "                          num_bins=20\n",
    "                        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plot_risk_vs_rejection_rate([y_test, y_test, y_test],\n",
    "                         [imb_lr_y_score, calib_lr_y_score, adv_y_score],\n",
    "                         [imb_lr_y_pred, calib_lr_y_pred, adv_y_pred],\n",
    "                         plot_label = [\"imb_LR\", \"Calib_LR\", \"Adv\"],\n",
    "                          selection_scores=[None, None, None],\n",
    "                          subgroup_ids=[None, None, None],\n",
    "                         risk_func=average_odds_error,\n",
    "                          attributes='sex',\n",
    "                          num_bins=20\n",
    "                        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the same error rate, the rejection rates for Group 1 and 2, in this case, improves to 0.4 and 0.5, respectively. The corresponding confidence threshold for Group 1 and 2 are 0.9 and 0.92."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}