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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction to Random Forests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recall that machine learning models suffer from two types of errors:\n",
    "* Bias: This is the error in the model due to incorrect assumptions, e.g., assuming the data is linear when it is \n",
    "  actually quadratic. A high bias model typically underfits the data.\n",
    "* Variance: This is the error due to sensitivity to small variations in the training data, e.g., fitting a \n",
    "  high-degree polynomial to the training data. A high variance model typically overfits the data.\n",
    "Increasing the complexity of a model will typically reduce the bias and increase the variance. The optimal complexity will then be at the point where the combination of these errors is a minimum.\n",
    "\n",
    "In the last lesson we considered Decision Tree Classifiers (DTC), and showed that, although they are very fast, they have a tendency to overfit the training data and therefore have a high variance. This can be overcome by using cross-validation to search for the optimal hyper-parameters of the DTC. However, generally this is overcome by running a series or ensemble of DTC on random combinations of the training set and aggregating these to create a more accurate classifier. This is the concept behind Random Forest Classifiers (RFC). These typically have similar bias to the underlying DTC, but have significantly lower variance. Consequently, RFC are generally at least as accurate as the best performing members of the DTC ensemble. For general classifiers the resulting model from running an ensemble of simpler models is referred to as an aggregator.\n",
    "\n",
    "In this activity we will investigate how simple ensembles can be created, the different forms of voting that can be used for aggregators, and the basic ideas of how to implement a RFC."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the necessary libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.datasets import make_moons\n",
    "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
    "from sklearn.ensemble import BaggingClassifier, RandomForestClassifier, VotingClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression # import the LogisticRegression model\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore') # suppress warnings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the function for plotting decision boundaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from logitplots import plt_decision_boundaries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Contents\n",
    "\n",
    "* Ensemble Predictions\n",
    "* Voting Classifiers and Decision Tress\n",
    "* Random Forests\n",
    "* Feature Importance\n",
    "* Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ensemble Predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Consider the random tossing of a slightly biased coin that has a 51% probability of turning up heads and a 49% probability of turning up tails. If we count the ratio of heads to tails, after a sufficiently large number of tosses this should approach 0.51. The figure below shows this ratio for 10 biased coin tosses up to 1000 tosses as coloured lines. As is apparent the *law of large numbers* shows that for each of the 10 tosses this ratio slowly approaches 0.51. We can also take the average of the ensemble of coin tosses, which is shown as a bold black line, and this approaches 0.51 much more rapidly. This is due to the fact that the variance of each of the sequence of coin tosses is independent, but they have the same mean. Therefore, when we take the average of the ensemble the variances cancel and we obtain a significantly reduced variance. Thinking another way, at each coin toss the ensemble represents a sequence of coin tosses. Therefore the larger the ensemble the closer the heads ratio will approach the underlying probability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "probability = .51 # probability of heads vs. tails.\n",
    "n = 1000 # number of coin tosses\n",
    "members = 10 # number of ensemble members\n",
    "fullResults = np.zeros(n) # create storage array for actual flips\n",
    "headRatio = np.zeros((n,members)) # create storage array for ratio of heads to tails\n",
    "for j in range(members): # loop over all the ensemble members\n",
    "    for i in range(n):    # loop over all the required tosses\n",
    "        # generate one random sample of 0 or 1 with given probability\n",
    "        fullResults[i] = np.random.binomial(1,probability) \n",
    "        headRatio[i,j] = np.average(fullResults[0:i+1]) # calculate the ratio up to this toss\n",
    "plt.plot(np.arange(n),headRatio,linewidth=.5) # plot the ratio for all ensemble members\n",
    "# for each toss calculate the average of the ratio over all ensemble members    \n",
    "for i in range(n):\n",
    "    fullResults[i] = np.average(headRatio[i,:])\n",
    "# plot the average with a thick black line    \n",
    "plt.plot(np.arange(n),fullResults,'k',linewidth=3)\n",
    "# plot the given probability   \n",
    "plt.plot(np.arange(n),probability*np.ones(n),'k--')\n",
    "plt.ylim(.3,.7) # set the y limits\n",
    "plt.xlim(0,n) # set the x limits\n",
    "plt.ylabel('Heads Ratio') # set the x label\n",
    "plt.xlabel('Coin tosses'); # set the y label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Voting Classifiers and Decision Trees"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same approach can be used to improve the accuracy of a ensemble of classifiers, provided the classifiers are largely independent of each other, i.e., they are not making the same mistakes. For a voting classifier this can occur if we use completely different classifiers on the training data. For example, consider we have a Logistic Regression Classifier, a Support Vector Classifier and a DTC being trained on the same data set. As they are being trained on the same data, they are not completely independent, however as the algorithms are significantly different there is relatively low correlation between their errors. These can then be used to create an improved accuracy aggregator.\n",
    "\n",
    "The sklearn aggregator `VotingClassifier` takes different classifiers and aggregates the results to produce a new classification. This is achieved using either `hard` or `soft` voting. For hard voting all the ensemble is polled and the classification with the most votes is chosen. For soft voting the average probability for each class is taken over the ensemble, and the class with the highest probability is chosen.\n",
    "\n",
    "For the example below the Voting Classifier is applied to the sklearn `moons` data, which produces two interleaved half-moons. The three members of the ensemble are Logistic Regression Classifier, Support Vector Classifier and DTC. By default Support Vector Classifier do not output probabilities, so to use soft voting we need get the classifier to create probabilities.  By using the Voting Classifier an accuracy of 93.3% is achieved, whereas the best component of the ensemble is Support Vector Classifier with an accuracy of 92%.\n",
    "\n",
    "The Voting Classifier does not always give better results than any member of the ensemble, however this can often occur."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make binary classification of two intersecting half moons, with specified noise \n",
    "X, y = make_moons(n_samples=300, noise=0.25, random_state = 42) \n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state = 42)\n",
    "# instantatiate the logistic regression, decision tree and support vector classifiers\n",
    "# get SVC to calculate probabilities\n",
    "log_clf = LogisticRegression(random_state=0)\n",
    "dtc_clf = DecisionTreeClassifier(random_state=0)\n",
    "svm_clf = SVC(probability=True, random_state=0)\n",
    "# instantatiate the voting classifier with our three standard classifiers\n",
    "# and use soft voting (probability based)\n",
    "voting_clf = VotingClassifier(estimators=[('lr', log_clf), ('dt', dtc_clf), ('svc', svm_clf)],\n",
    "                             voting = 'soft')\n",
    "voting_clf.fit(X_train,y_train) # fit the training data to all the classifiers\n",
    "# initialise a set of 2 by 2 subplots\n",
    "fig, axs = plt.subplots(2,2,figsize=(10,9))\n",
    "# create x and y grid for plotting the decision boundaries\n",
    "xx, yy = np.meshgrid(np.linspace(-2,3), np.linspace(-2,2))\n",
    "\n",
    "names = ('LogisticRegression','DecisionTree','SVC','Voting') # set the names for the plot titles\n",
    "# loop over k, the classifiers and the classifier names\n",
    "for k, clf, name in zip(range(4),(log_clf, dtc_clf, svm_clf, voting_clf),names):\n",
    "    i = k//2 # integer division, rounded down to nearest integer\n",
    "    j = k%2 # calculate remainder of k//2\n",
    "    clf.fit(X_train, y_train) # fit the training data to each classifier\n",
    "    y_pred = clf.predict(X_test) # use the classifier to predict results for the testing features\n",
    "    # contour plot of the decision boundaries for this classifier\n",
    "    plt_decision_boundaries(clf, xx, yy, axs[i,j], fill=True) \n",
    "    # scatter plot of the features coloured by the target values\n",
    "    axs[i,j].scatter(X[:,0], X[:,1], c=y, s=50, cmap='winter', alpha=0.3); \n",
    "    accuracy = np.round(accuracy_score(y_test, y_pred),3) # calculate the accuracy score\n",
    "    # add the depth and accuracy to the title\n",
    "    axs[i,j].set_title('{0} accuracy = {1}'.format(name, accuracy)) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To consider the application of ensemble methods to DTC we import the wine dataset, which was used in the previous notebook. This consists of 178 samples, with 13 features and one target consisting of three classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(178, 14)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read the data from the csv file into a pandas dataframe\n",
    "df = pd.read_csv(\"wine_data.csv\", header = None, \n",
    "                names = ['Class','Alcohol','MalicAcid','Ash','Alcalinity','Mg',\n",
    "                         'Phenols','Flavanoids','Nonflavanoids',\n",
    "                         'Proanthocyanins','Colour','Hue','ProteinConcentration','Proline']) \n",
    "df.shape # print the shape of the datafream"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initially we again consider a two feature model using the `Flavanoids` and `Proline` columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdf = df[['Class','Flavanoids','Proline']] # create a smaller dataframe with only these columns\n",
    "X = rdf.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = rdf['Class'] # create a target dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The DTC have high variance and consequently overfit the data. This can be seen by plotting the decision boundaries for four runs of the DTC. Each uses the same training set, but the features are randomly sampled for splitting at each node by setting `max_features=1` (recall there are only two features for this model). We obtain that DTC have a high variance, with some performing poorly and some quite well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2,2,figsize=(10,9)) # initialise the plots and axes for 2 by 2 subfigures\n",
    "# create x and y grid for plotting the decision boundaries\n",
    "xx, yy = np.meshgrid(np.linspace(0,6), np.linspace(200,1800))\n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=.8, random_state=0)\n",
    "for k in range(4): # loop over 0 to 3\n",
    "    i = k//2 # integer division, rounded down to nearest integer\n",
    "    j = k%2 # calculate remainder of k//2\n",
    "    # fit the training data to the DTC and randomly use one feature at each node for splitting\n",
    "    df_dtc = DecisionTreeClassifier(max_features=1).fit(X_train, y_train)\n",
    "    # axs[i,j] is (i,j) set of the axes defined above\n",
    "    # contour plot of the decision boundaries for this classifier\n",
    "    plt_decision_boundaries(df_dtc,xx,yy,axs[i,j]) \n",
    "    # scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "    axs[i,j].scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "    Y_pred = df_dtc.predict(X_test) # calculate the predicted values\n",
    "    accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "    # add the depth and accuracy to the title\n",
    "    axs[i,j].set_title('accuracy = {0}'.format(accuracy)) \n",
    "    # only print axis labels on the left and bottom\n",
    "    if i == 1:\n",
    "        axs[i,j].set_xlabel('Flavanoids')\n",
    "    if j == 0:\n",
    "        axs[i,j].set_ylabel('Proline')\n",
    "    # for each value of k store the decision tree to be used with the voting classifier\n",
    "    if k == 0:\n",
    "        df_dtc0 = df_dtc\n",
    "    elif k == 1:\n",
    "        df_dtc1 = df_dtc\n",
    "    elif k == 2:\n",
    "        df_dtc2 = df_dtc\n",
    "    else:\n",
    "        df_dtc3 = df_dtc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The four runs of the DTC can now be input to the Voting Classifier. Using soft voting the aggregator produces an accuracy which is better than any member of the ensemble. Similarly the decision boundaries appear to be much less sensitive to the training data, indicating a reduction in the variance of the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,5)) # initialise the plots and axes\n",
    "# instantatiate the voting classifier with the four DTC defined in the previous cell \n",
    "# and use soft voting (probability based)\n",
    "voting_clf = VotingClassifier(estimators=\n",
    "                              [('dt0', df_dtc0), ('dt1', df_dtc1), ('dt2', df_dtc2), ('dt3', df_dtc3)],\n",
    "                             voting = 'soft')\n",
    "voting_clf.fit(X_train,y_train) # fit the training data to the classifiers\n",
    "plt_decision_boundaries(voting_clf,xx,yy) # contour plot of the decision boundaries for this classifier\n",
    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "plt.scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "Y_pred = voting_clf.predict(X_test) # calculate the predicted values\n",
    "accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "# add the depth and accuracy to the title\n",
    "plt.title('accuracy = {0}'.format(accuracy)) \n",
    "plt.xlabel('Flavanoids') # x axis label\n",
    "plt.ylabel('Proline'); # y axis label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Forests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RFC generalise this process by incorporating random sampling of the training data for the ensemble of DTC. You can think of this as a new call to `test_train_split` before creating each DTC. There are two ways to do this: bagging and pasting. Bagging (Boost Aggregating) does this by random sampling of instances with replacement. For example, we sample coloured balls from an urn, record the colour and put the ball back in the urn. Hence in each sample instances can possibly occur multiple times. Pasting does the random sampling of instances without replacement, and therefore in each sample instances can only occur once. For example, Lotto numbers are sampled without replacement. Each predictor is then trained on their particular random sample, and then the classification is chosen based on the most frequent prediction of the estimators (hard voting). The aggregator then has similar bias as the original model, but lower variance. Bagging generally leads to better models, as it has lower variance than pasting. \n",
    "\n",
    "For a general classifier, we can use the sklearn function `BaggingClassifier`. However, for Decision Trees it is easier to use the function `RandomForestClassifier` which combines the `BaggingClassifier` with the `DecisionTreeClassifier`. `RandomForestClassifier` takes as arguments, the arguments of both of these functions. The most important arguments for RFC are `n_estimators`, `max_samples` and `bootstrap`: \n",
    "\n",
    "* `n_estimators` defines the size of the ensemble, and increasing this reduces the variance of the model. \n",
    "* `max_samples` defines how many samples are used for each estimator. This can be a positive integer, which directly gives the sample size, or a decimal number between 0 and 1, which defines the fraction of the number of instances to be used for the sample size. Decreasing this will increase the randomness of the individual estimators, and reduce the variance of the final model. \n",
    "* `bootstrap` is True to use bagging and False to use pasting. The default behaviour is bagging.\n",
    "\n",
    "In the example below we set the number of ensemble members to 200 and fraction of samples for each model to a half. These could also be combined with hyper-parameters for `DecisionTreeClassifier`, such as `max_features` or `max_depth`. This gives an accuracy of which is at least as good as the ensemble members above and the voting classifier. However, the decision boundaries are much more regular, indicating that the variance of the model is again significantly decreased.\n",
    "\n",
    "The optimal hyper-parameters could then be obtained using `GridSearchCV`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rStPuUMm+LOFUlNp8iXAmhvJ8GotVskcGsHXg0HaQbnFo2h3KsE1G3n6CjiMDuLUWyoe+xw7T+7oDe1017S6nWxyadgezoiF6Hxqj96Gxva6Kdg/ZsRaHiHxGROZE5NV1XvtZEVEi0rWi7JMicl5EzojI+1aUPyoir7Rf+zWR9fJKa5qmabtlJ7uqPgu8f22hiAwD3weMryg7BnwION4+59dFZGm6yG8AHweOtL+uu6amaZq2e3YscCilngQW1nnp3wL/HFAryj4A/K5SqqmUugScBx4XkX4gpZR6SgWbEHwO+OBO1VnTNE27uV0dHBeRHwKuKqVeWvPSIDCx4ufJdtlg+/u15Zqmadoe2bXBcRGJAf8T8P3rvbxOmbpB+Ubv8XGCbi26Y3rcX9t5TrWB23Sw4xGsNRlpNe1utZt310PAAeCl9vj2EPC8iDxO0JIYXnHsEDDVLh9ap3xdSqlPA58GONwZ3TDAaNrt8h2PmRcuULwyB+3V2l3HR+i8bxA9f0O72+1aV5VS6hWlVI9SakwpNUYQFB5RSs0AXwU+JCJhETlAMAj+jFJqGiiLyBPt2VQfAb6yW3XWtI3MnxqnOD5PrCdNvCdNJJtg9sWLlKfWG9bTtLvLTk7H/QLwFHCfiEyKyMc2OlYpdRL4InAK+FPgJ5VSS7kUfgL4jwQD5heAP9mpOmvaZviuR+HCDNHO5HLrwjANwqkYixem97h2mrbzdqyrSin1ozd5fWzNz58CPrXOcc8CJ7a1cpp2G3zPx/d9DHP1c5dhGXgNZ49qpWm7R6cc0bQtssI20c4UzfLqXfaaxRqp4a4NztK0u4cOHJp2C/pedwDf8ajNFWkWa1Rni4TTcTIH+/a6apq24/ScVU27BZGOBAe///WUJnI0SzVi3SmSg52Ytv6V0u5++l+5pt0iOxam8z69HlW79+iuKk3TNG1LdItD07aoVa6Te22C8tQCoViYzvuGSA536YV/2j1Dtzg0bQucWpPLf/ky5at5wskovu8z8Z3TLJ5bvX5DKUWzXKdZrKJ8f49qq2k7Q7c4NG0LCpdm8V2PWFcKAMMyMW2L+VPjZA70YtgmrUqDq8+cpZEvg0AoHmHgjUeJZpN7XHtN2x66xaFpW1DPl7Gj4VVlhmXiez5uo4XyfSa/fQqnUifeG6QjARh/8iRuo7UXVda0bacDh3bP8l2P0kSOqe+dY+6VKzSL1ZueE87EceqrA4Dv+RiGYEZs6vkyzVKdSCa+/LodD+O7HpXZwnZ/BE3bE7qrSrsn+a7H5HdOs3BummaphltrYiciHPmhx+k4sPEivo4DvRQuTNMs1gilovgtl3q+Qs/DY5i2he96624GICJ4TZ2ORLs76MCh3XGcepPc6QlKV+YR06DjcD+dRwYxbPOm53qOi+96VOeK5E5NUs+XMCM2diJMq1zn5Oe/yRv+2Q8RTkTXPT+UjDL6zgeZe+UK1dkCdjRE32OH6TjYC0A4HbQ0fO9aLiulFL7rbWqMw623wJDlvT08xyX/2tUgeaJSZMZ66XxgCCsS2tTf1c2UpxfInRynsVglmk3QdWKERG/Htlxbu3vpwKHdUXzHY+LJk7QqDSLZBMr3yb06TrNYY+hN9298nusxf3KcxQszKM+nPLVAZWaBZF8HRnu1dzRrU57MkTs1weDjRze8VqQjwcjbj6N8HzFW9/basTA9J0aZffkSViSEiODUWmQO9RHt3DhwNItVpp+/SD1fAiA12EnPwweYfu481ZkC0c4EiLB4cYZavsToux66LsniVpWnF5h48hThVJRYTwqn1mT8mycZfecJ4j2Z27q2dnfTgUO7o1RmF2mWasR7M0GBaRDrTVOezNEsVpef+Neaf+UK+XNTxLpTGKZBdXaBytU88e40RnvjPqUURtiika9sqi5rg8aSzvuHiHYmKY7Po3xFaqiTeG9mw3UebtNh/MmTIBDvSaN8RWVmkcp8EadSx46GaZZqhFMxYt0pqjMFavNFEn231zLInRwnnIpix4PB/lA8AgpypyZ04NBuSAcO7Y7SKtcxrNVdUiIC7Sf79QKH23RYvDhNvCe1fLNPjfQw9cx5avNFUsPdKKVwyjVCiQixntRt1zPWnSbWnV7+2Xc8ylM5GoUq4XSMRF/Hcl6r6uwibsMh3hscL4YQ7Uxy9btnqM0WiXQmAEEMg64HhhDTwKk2bruOjUKVWPfqz2rHQjQWNxc4tXuXDhzaHSWUjOK7qxfUKaVAqeUn57V8x0Op1S2ESCZO94kxFs5NYscjiGlgx0PEujJ0bHOGW7fRYvzJkzSKVUzbxHc8QokoI28/jh2P4NZaiCnXnVOdKWCELCLpBABeyyX/2iSpkW7seGTT719fKFO8Modba5EYyJIa6sKwTaIdCZxaM2hptDm1JpGOxPZ8cO2upQOHdkdJ9HYQTseozZeIdMRRvqKer5AZ6yaciq17jhUNYYVtvKaD2R50BkiPddP5wACtYg2FEOtO0fu6A9t+48yfnaJVqpFY6l4D6vkK8yfHGXj8KJFs4rpgWF8oY4RMkv2dNAoVQokohmVQna2QOdS/qjVzI6XxeSafPoMVtjBsk9LVPMXLswy/9ThdJ0YY/+ZJUEFLw6k1cSoNBt6w8fiOpoEOHNodxrBNRt52nPzZqxQuzWJaJr0Pj9FxuH/jc0yD3ocPcPXpM1hRGzNk0yrXCaeCGVKGZeK7HmbY3pF8U6Urc4Q7VnehRTrilCZy9D92mFhXiuRglsrVPKFkDKV86vkKib4sPSdGKE3lqc4UUEoR7+2g/7HDmxoY9x2PmRcuEM0mMEPBr3ooEaU6s0jpao7MWC+j7zxB7tQEjcUKkWySgTcc3XRQ0u5dOnBodxwrGqL34QP0Pnxg0+ekRrqxYmEWz0/j1Jp0Hx8lfaBneVrr2nGT7WRYJspXq8qWZ2SJICIMvvE+ShM5ilfmMCyTsfe+jrmXL6FQpEe6SY904zUdWpUGyf7spt63VW3gu/5y0FhixcJUZ4tkxnqJ92T0QLi2ZTpwaPeMWFdqOcfUrVJKUc+XcSoNzIhNrDt906f/jsP9zDx/gXhfMLNq6Rpdx0aWWziGZZI50EvmQO/yeYZpMPvChfZPghjC4Jvuuy4QbMS0TZRSKKVWtaS8locV3Z51INq9SQcOTdsk3/G4+swZylcXEANQwYK/4bcduy5/1UqZg300SzUKF2cQQ1C+IjnURefRG28ClT3cT6I3Qy1fQgyDWHfqhu+zlh2PkBzopDKVJ9qdQkSW82llRrs3fR1NW0sHDk3bpMKlGcpX86vWT9RyZeZevsLgGzceUDZMg/5HD9N5dJBWtYEdC284kL9WKBkllFx/Fftm9D16iFlDKE3mALAiIYbe8sCG6100bTN04NC0TSpcml2VvBAgmk1QnszhP3ropuMktxsEboUVthl84j566mP4ro8dC9/2inNN04FD0zZJjGB8YrW1P+9PW+ni0rSb0Y8emrZJ6QN9NAvVVcGjsVAhNdK9o7OyNG2/2bHAISKfEZE5EXl1Rdkvi8hrIvKyiPyRiGRWvPZJETkvImdE5H0ryh8VkVfar/2a6I2dtT2SGeshNdJDba5Ida5IdbZAKB2n58ToXldN03bVTnZVfRb4D8DnVpT9OfBJpZQrIv8b8Eng50XkGPAh4DgwAPyFiBxVSnnAbwAfB54G/hvwfuBPdrDemrYuwzIZeONRsvcN4lTqWJEQ0c7khskOfdejPL1AdWoRMxoiM9qtB6W1u8KOBQ6l1JMiMram7M9W/Pg08P9qf/8B4HeVUk3gkoicBx4XkctASin1FICIfA74IDpwaHtERIh2JIjeJC2J73hMfucUldkidiyE7/gsnJlk6K3HNr2Ab6W1azF2Sj1fJn9uilaxSrwnQ8eRAUKJzefF0u4Nezk4/veB32t/P0gQSJZMtsuc9vdryzVtXytP5anOFlZN3XWbDjPPnif+1x7b9Mym8vQCuVev0ChUiXQk6Do+ckuBZ7PvNflXJ4PcXpEQhctzFMbnOfDuh3Z9Npi2v+3J4LiI/E+AC3x+qWidw9QNyje67sdF5FkRebbUcG+/opp2iyrTC1hrMthaYRu36eBU6pu6RrDR0kl8zyfem2lvYnWKyuzittdXKcXcy5cJpWOE03HMsB1sHuX7LJyf2vb30+5sux44ROSjwA8CH1bXpqdMAsMrDhsCptrlQ+uUr0sp9Wml1GNKqcdSET3TWNs7VjiE76x+eFlK/7604+DN5E5OEE7FsGPBVFo7HiaUipA7NbHt9fUdj1a5ft203VAySnWmsO3vp93ZdjVwiMj7gZ8HfkgpVVvx0leBD4lIWEQOAEeAZ5RS00BZRJ5oz6b6CPCV3ayzpt2K1FgPvuPhtYLgoZSiniuTHOxaDgQ30yhUsGKrc0rZ0TCNhe3faMmwDMyQhbcm2LmNFqFNrnLX7h07OR33C8BTwH0iMikiHyOYZZUE/lxEXhSR/xNAKXUS+CJwCvhT4CfbM6oAfgL4j8B54AJ6YFy7A0Q7Egw+cR9OtUl1rkhtrki8r4O+Rw9t/hqdSZxqc1WZU2vccO/yWyWGQdf9w9Tny8vBw220cGstOo8ObPv7aXe2nZxV9aPrFP/WDY7/FPCpdcqfBU5sY9U0bVekhrtJ9GeD7W5ta8uzk3pOjHLlL18GFFY0jFNp0KruzEZLSinSYz0oFPnTkzScKnY8zNBbH9D7c2jX0QMBmraDDMu85R0FY91pRt/1EHOvXCH36jhOtUGsN0P+zCRm2N50osSbqcwsMvfyZZqlGlYkRNexYZLDXVg7tLGVdufTKUc0bR+LdacJxcPE+zL0v/EomYO91BcqXPnGK7iN1m1fv54vM/HkqyjfJ96TxgpbzDx/gcrVvA4a2oZ04NC0faxVaVAcnyfWE2wYJSJEMnG8lkvpav62r58/M4kVDS8P2AfTcJPkTk+ifP8mZ2v3Kt1VpWn7mFtvgiHXPf2bIYtWud4+pkVpMkerVCPSmSQ52Im5ySm/zWLtut0AzZBFo1Btbzurny216+nAoWn7mJ2IgFqxR3mb13SJdiRoFqtc+eareC0XK2yxeGGWhfRVRt5+YlPbw8a605Sv5jBD18Zh3HqLUCKCYeuMv9r6dODQtFvg1JrkXpugdCWHGbbIHhmg41DfhgkPb5UdDdN53xC5k+OEO2IYpkmzUCWcjpEYyDL19BkA4j3BzKdwGmpzRRbOT9Pz4M2z9maPDlCamKexWMFORHAbDm61ydBbH9BjHNqGdDtU07bIbTpc+cYrFC/PE87EMG2TmecvMPfy5R15v+7jwwy+6T4M08JruXQ+MMzI248jIlRmC4TTq2dXhTNxShPzm7p2OBVj7D0PkxjI4jUcwqkYo+96kORA5058FO0uoVsc2j1D+T71fBmv5RJOx28562tlagGn1lx+ysc0iPdmWDg/Tfa+wW3fbU8Mg/RoD+nRnlXlyvcR00B5PrJiIynf9TBD9qavH07FdmRtiHb30oFDuyc41QYT3z5Ns1gFgi1gO+8foufB0S13yTQKFczQ6l8daQ9gO9Xmrm3TKoZB9vAA+dMTxHrTiAi+59Ms1hh80327Ugft3qQDh3ZPmH7uPG69Sbw3AwRP6/nTE8S6kigFlck8RsgkNdxNrCt1w2uF03G8CzOrypSvUEptOg/Vdum6fwi30aJ4eTYYX1HQfWKU1HD3quNa5TqFK3M4lTqxngypoa7rgp+mbZb+l6Pd9Zx6k+psgVjPtdQZYhhY0RAX//QF7HgEOx5CeT4L56boe+Qw2cP9G14vOdhJ/vQk9YUykUwc3w26wLJHBnY9cBi2ycAbjtB9bBi34WDHwtfNpqrlSox/81UQwQpblCZyLJ6bYuSdD2KFN9+lpWlL9OC4dvfzg61d1nZJOdUGldlF4n1pwqkYkY4Esa4Ucy9dXF6V7bserUoD3/GWz7PCNiPvOEFysJN6voJbb9H7uoP0PHxgNz/VKnY8QrQzeV3QUEox8/wF7FiYWFeSUDJKvDdDs1yneGl2j2qr3el0i0O761mxMJGOBM1ynXB7JzulFNXZAvH22MASwzJRPjRLNcpTC8y/cgXfdRHDoPO+ITrvH0QMg1AiwsAbjtL/2JF9PW3Vazg0S7VrA/lt4WSU0mSOzvuHNjhT0zamWxzaXU9E6H/sMPiK6myR2nyJ2myB5Eg3ocT6iQJr+TLT3zuHHQ8T604TzsSZe+Uyi+dnrrv2fiaWgRgGvrc6fYjnuLverabdPTbd4hCRtwJHlFL/SUS6gYRS6tLOVU3Ttk8kE+fg+x6hMruI13CIdCSwoiEu/dkLOPVrM6Eai1UiHXGqM4uEUtHlAWTDNIh2Jsm/NknHkf7bDhhu06EytUCzXCPSkSDZl8WwTXzHozKzSH2hTDgVLPK7nXEI07boONDLwvkpYt1pxBA8x8WpNRl4XE/B1W7NpgKHiPwC8BhwH/CfABv4L8Bbdq5qmra9zJBFes1so+G3HmPqmXNU54qgFLGuNAOPH+HKX76CGbWvO79RqF63bmItp9ogf+Yq+dcm8TyPjkP99BwfIZyOA0HiwvFvvopTa2KGTBbOTBFOxxh841GmvneOxkIFM2zhOR7WyRAj7zix3MV2K7pPjOK5HsUrc4gIYgj9jx0h3pO55Wtq97bNtjj+BvB64HkApdSUiGz/NmTajnrf0K/y2V8Gfu4f8ejn4csf/hIf/Fef4xfeAZXF9fbduvvFutMc+oFHaJXrwdhF+wYdH+igND5PNHvtn3mrXCfamcRoBw3PcYOMtSvSjDRLNS5+7XnmT0+AUogYLJ6bYvH8NIfe/wjxngzzrwbjJvHea+MOtbkil7/xKn7LId6XWS5vFKrMvXyZ4bc8cMufcXnm1YkRvKZLKK7zUGm3Z7NjHC2llAIUgIjEd65K2m4Z+Pzf4sv/osAvfvNzJDq+sNfV2TNiGMFK8hVP9Z1HhxDDoJYr4dSb1BfKuA2H3ocOUM+Xufz1lzj3le9y7o+/R+61aynIc6cnqeZKWCGbeHeGWFeKcDJGfbHC1afO0ChWKE7ML7c+loQ74uROXsFORHCqTXwnuF44HaMyvbBqVtetsqNhIpm4Dhrabdtsi+OLIvKbQEZE/iHw94H/a+eqpe2058r/iEeTv7n88y9+895ueawVSkQ48N7XUbg0Sy1XJNHTQeZQHwCX/vxFrGiIWE8a3/WYe+kSvuPR8+Aolak8fqOFtbKbyzRYODNFdXqRVrVJ8fIsdjS0agc/3/FolhtMf+88ZsgEDFIjXcT7OhBDwNjfg/DavWVTLQ6l1K8AfwB8iWCc439VSv3vO1kxbed89pe/tfz9UqsDWG553OmtD6UU9XyZxQvTlCZzeI57S9exY2G6j48w9KYHiHalqOWKzL50CUSW81wZlkmsJ83CuSk8x8WMhHAaDrVcGafWxPe8YFU3ikhHnER/hmhngunvncNzg1aE8hWL56cJJSMgEErGCCXCFC5Ms3huio5D/RimngCp7R+bnlWllPpz4M93sC7aLlvZ6vjyvyjwwX+Vabc8PrLHNbt1yveZfu4ChUuzwZO6UliRECNvP35d99Bm1BcrTPzVSbyGCwYsnJ0ikokTzSaC6xPMuFJK0Vio0MiXqc4WaRWr1POlIA16uU6iN0NyIIthGnQeGaRVqlO8OEskE1/q/6X/kcNUZxcpTy0gBAHFd1y6j41s69+Rpt2uzc6q+pvA/wb0ANL+UkqpGyf10bRdVr66QOHiLPG+awv7muU6U987z9h7HtrSNFqlFNPPnMWwTCJ9QdBxGy1yr14hOZgl0hFsfuQ5LqZlsnB+CiseZvCNR5k/eYXaXIlqroAdj9D5wBCp4S4gWFuRHuuh+8QY0c4EdizMxT99HitikznQ205x3gLTwHc8PSah7TubbXH8a+CvK6VO72RlNO12lcbnCSXCqwKEFbap5Yo41eamU6l7LZfp5y8w8e1ThBJR4n0dpAa7iPdmKFyeZeHCDL0PjeG1HFrlBr2vP8Tcy5eIdaUQQ4j3ZfAaLar5Cotnr5IZ611uoShfAZAczC6Pc8T7s9TzJSKZOFbYxgrb1BfKpIa6N6yjpu2VzQaOWR009t7XJn8GCKbVauuTdrcRBFugLl6YoVGs0irXSfR1MPDGozdNe66U4urTr1G8MocZsrFjYcpX87RKdbpPjNB13zDK9/FaLnY8St/rDxPrTjH/ymWCiYeCYRoY8QgJw8CtBUkWg5XaCqfWovOBoVWD4z0nRrj8jVep5UpYERu37mCGLJ0SRNuXNhs4nhWR3wO+DDSXCpVSf7gTldKutxQ0/t7PvZXP/rIOHhtJj/ZQvDKHHQkz/+o4vu8jlkFyIEt9ocLkt08z9u6HbrjFaz1fpjJTIDXSTaNQxW04RNJxGoUKzWIV5fuMvuvB6xbQpUd7KI7PLadlV0rRKFQZe/dDhOIRSuPzIJAa6V5O774knI5z8L0PU7gyR7NQJXowSWq0e9f29tC0rdhs4EgBNeD7V5QpYMPAISKfAX4QmFNKnWiXZYHfA8aAy8CPKKUW2699EvgY4AE/pZT6Wrv8UeCzQBT4b8BPq6VHynvEyqCx9Odnfzl4TQeQ1eJ9GTofGGLqu2ep5opEkjGsWIjs0QGsSIjqbIF6vkysO73hNZxaE5EgD1X26AC5UxM0ilWa5QaV6UWG33Z83fO7T4zQLNWozBSWB+YzB/vIHOjFMA0S/R03rLsdj+iBcO2OsKnAoZT68Vu49meB/wB8bkXZJ4CvK6V+SUQ+0f7550XkGPAh4DgwAPyFiBxVSnnAbwAfB54mCBzvB/7kFupzR/ra5M8sB4yV6y74uX/EZ3/5W3xt8me2LXisnll1Z67pEBF6HzoACkQg1pMhnIpea2GI4LVuPD3XjoVZejSxo2H6Xn+QZqlOdXaRg9/3etJjveueZ0VCjL7zBPWFCm6jRSgRJZLRa2W1u88NA4eI/HOl1L8Wkf+d9qrxlZRSP7XRuUqpJ0VkbE3xB4B3tr//beAbwM+3y39XKdUELonIeeBxEbkMpJRST7Xr8zngg9xDgWMjjyZ/c8vBY2XLZSkITX34S6uOWRs87hRrg1xyIEs+FV9141a+AqVWrRBfTzSbINGXoTpbINqZxGu5FK/M47dcFi/MIJZJcrBz3RlaYhjEulL4u9woVr4Pcv2eI5q2E27W4lgaEH92m96vVyk1DaCUmhaRnnb5IEGLYslku8xpf7+2/J429eEvMfD5v7UcPIDlrqubuVHQWLK0IPCD/+pz676+3/zCOz5CouMLq4JHtDNJarCT8tUcoVQMpRStYp3s0YFVg9LrEcNg8In7yZ+5ysLZq+RfmyCUiNJ1bAiv5TL5rdP0PDxG1wPD153b8lyulheYr5cB6ImlGExmsY2dmVLbqjSYf/UKpckchmmSPTpA59FBPYVX21E3DBxKqT9u//nbO1yP9R6T1A3K17+IyMcJurXojt3de1Qt3fQf/XywkG+pO+tmbhY0Vlpqfex3S4sWVwYPMQwG3niU0ngHxStzYBjBXtyDnZu6phmy6HlwlFAigvIU8b5rYxpmxCZ3aoLMwb5VKc995XNmYYq66xC3g0HtuVqRutPk/s7BbW8NuE2H8W++iuc4xLpSKN8nd3KcVrnO4BP3bet7adpKN+uq+mNucKNWSv3QFt9vVkT6262NfmCuXT4JrHx8GwKm2uVD65RvVJ9PA58GONwZvScG0Kc+/KXl4HEzjyZ/c1MBY6Wl1sd+t9Q6Wjk2Y1hmMDh9sO+Wr1vLlVbnnWJppXiQPn1l4Cg161SdJunwtRZNMhSl1KxRcRpElUVtvojyFbHOJHZ8c2tKNlKZXsCpNZez7IphEutNU5qYp+v4yG2lYte0G7nZY/mvbPP7fRX4KPBL7T+/sqL8d0TkVwkGx48AzyilPBEpi8gTwHeBjwA6R9YaS8FjM8fdrXZqYD+cigXTaFcIFvAFqUxWanousm4jWSjMLjD17HiQ9VaCkfve1x0ke7j/luvWKtXbCRFXvFN7nMOtN3Xg0HbMzbqqvrn0vYiEgKUtw84opZwbnSsiXyAYCO8SkUngFwgCxhdF5GPAOPDD7fc5KSJfBE4BLvCT7RlVAD/Btem4f4IeGF/X3RwU9lJqpIvca5M0SzVCySjKV9TnS6QP9F639WrEslFrGuhKKXzPY/GFyyTi0eVg47sesy9cJN6duqUcWgCRjgTemdXp1pWvUEoRus3WjKbdyGZzVb2TYBbUZYJxh2ER+ahS6smNzlFKbfTI954Njv8U8Kl1yp8FTmymnpq23exomNF3nGD2xYvU5koYlkn2/iG61xkYT4aipENRis06cTsIEFWnScIxMZs+VuZaC8WwTMQQKrOFWw4cib4OwukYtbki4Y44yvNpLFbJHh287W4wTbuRzY4g/xvg+5VSZwBE5CjwBeDRnaqYpu0XkUyc0Xc+iOe4iGFsmOLcEOFItp+ZaoH5WhkRYTTVRcJUTDJz3fG3O2PXsE1G3n6c/NkpSuPzGLZJ/xuOkBnrufnJmnYbNhs47KWgAaCUOisi9o1O0LS7jWnf/NfFMkyGkp0MJa/N3vLDHmbIxm20VnVVoXwSfTdeTX7T94uE6H1ojN6Hxm7rOpq2FZsNHM+JyG8B/7n984eB53amSpq2dblEnFZrAEWI8znIqBYRK3TzE3eBYZsMvuk+Jr99mmaxvjzJvPf1h266pkTT9qPNBo7/HvhJ4KcI/tk/Cfz6TlVK07biairFdw+N4WMhuMxVYbI2yYmuYSLW/mgYx3syHPprj1HPlVC+TzR7+9NxNW2v3DRwiIgBPNdOVKgz6mn7ig+cHBogU6tjSDDLKRWG+apiplpgLL1/9rOwwjbJTS5A1LT97KaBQynli8hLIjKilBrfjUpp2mY5lkndtuhqNoFr02PDlk2pVd+7iq3gNh3mT46zeH4K07bIHOqn6/4hzNDdnd1Au3tt9l9uP3BSRJ4BqkuFt7ByXNO2leX5WL6Ps2Z/DcdzV63g3iu+63L6979N/swkVsTGtCyqc0WahQrDbzuukxJqd6TNBo5f3NFaaNotMpXi6MwcLw8NoBSI+DRdcHyPvnhmr6vH9PMXmX/lMqnhLsQw8B2Xeq5E/twUXcdGljd90rQ7yc1yVUUIBsYPA68Av6WUuvFmBtqeGfj837rh63fr6vJD8zkMpVCMoXwTEbg/O0AitLeDz0opcq+OE0pElvcDMWwLKxqiNlvAqTVvcgVN259u1uL4bYLU5n8F/ABwDPjpna6UtjU3Cxgrj7sbg4cBHMrlCdseYPD6gSeoFvZ+AyXl+iDBPugrGbaJW3CuS1miaXeKmwWOY0qpBwHa6zie2fkqaVuxFDQ2mx33Tg8etZCNJwaJZvO6dILBcIHPfhk2MGyT1FAX9YUyzWIVOxFF+T7VuQLZw/1EO5N7XUVNuyU3CxzLiQyVUq4eyNscM6QQAbcJ628psj1WBo3P/vK3bn5Ce9OnRz9/53Vb1WybF4cHmUslQAmJZpNHxifJ1mq78v5uo4XveNjx8LVtaDeh9/UHqeVL1OaLFC7PUM9XCCWjpIa6cGtNvZZDuyPdLHA8LCKl9vcCRNs/C6CUUnpkbwUzrOg8pIi09/xpVSF/Hpza9gePgc//reVWxlLQuNn2sZ/95WAHwOfK/2g5DfudEEAU8MyBUarhEF3lKkIQSL5z+ADvPXWGiLtzw25ey2X2xYsUx+dBBDti0/vIIZL92U2dH+tKcej9j3Lmy08TzSToPj5Ksr+TVrXJ+JMnGXvvw5tKZaJp+8kNH52UUqZSKtX+SiqlrBXf66Cxkih67leE4tAoQqMoGBb0HlMY5vbtKaUUhD77w/xx/sPk3Dqf+ZW/4n1Dv7qpPcffN/Sry0FmKehsdnxkLxViURZjUTK1+nL7LeY4uIbBTGpnu3tmnr9AcXyeWFeKeHcKwzbbqUOqNz95BTsWZuQdJ8ge7seOh4hmE7QqDaozhZ2puKbtoM23ubUbCifAjkGrKix1T7kNwbQhkrm9wLF0s3+m9A/5ViXMp+e+j1cbef6Pr3yH3ge/TNPY2hPr2uCx37VMc90OP9Pzadg7l1LEqTcpTeaIdacQI6iBFQlhmCaFK3M3Ofsat95aPn8lwzJoVfbHIkVN2wrdRt4mG927fQXGbdzblloSn/1leM9PPcypxjt58Y8vAfDmzj+mYoa5lOzh/uKGO+re8dL1BiiFJ4LZzkWuCFaNd1a39uS/FX7LRYTrFumZIRN3C1Np7UQEVDA9d+W1fMcjktn72V+atlU6cGwTp0bQ0BAFaunmoDAMcKrrPS8r4t2K9GAQWGp5KF4VvOb64yHvG/pVPvulf4ISMBEe6Qx23Y07TXLhFK7MYCl/Jz7anou4LsenZnhlaIBIy8FQilo4xNBigc7KzgUOOx7BsCy8lrsqPUir2qTr2MimrxNORskc7GXx/DSRjjhiGDQKVSJdKWLd6Z2ouqbtKB04tonbFIoTiswIuA2FUmBHoTILzfL1x6eHFJlRaFbAq0GsC6IdiumXwXfWDx6vy/5Xnl/8weWgsZKwfeMo+9GR+Rwd9TrjHR24psGDV6foK5V3rK/VqTfxGg49D44y/dx5zJCFEbJwyg2iXSmSQ1tLVtj7uoOEM3EK56dx6i2SQ110HhnAsMybn6xp+4wOHNuoOCE0yxDvDloahctQWwzGPKyIwo6C5wSBJT0E9QLLrZNWBSIpRbxLUZ5eP3D01Rc50vt1VPPaJN+KHaG7UVruwrmbdVWqdO1gCwOC7qOZFy9SvDIHIhiG0HG4H+Ur3FqT7NFB0iPdW54JZZgG2UP92BGb6ecuULmapzyRIzGQpf/RQ8sbPGnanUAHjm0lNArQKKy48YsiM+aTHlLYERALWkstELX6edl1IHSDLu+eRoliKM585NqEtoTbYKyy+YFa7cbmXr1M8fLc8oC473osnJti9J0PEu/J3Na1G4Uqk995jUgmjpmxUUpRnV1k+rnzDL/l2PZ8AE3bBTpwbBMzHLQW7Cg0ylDPCb4nxDraazuSBHPYFMS7gnPqBX9V8LBsKN/ggdpAcbQ0xWBtgboZwvZdUk5NT43bJp7jUrg4S6w7uTwLaqkr6dLXXyJ7qJ94fwfJ/uwtdTEVx+cwLBMzHMyWEBGinUkqU4u0Kg1CCb0YULsz6MCxDUJxRe+JoKvIdyHeDU6/YvYkJPuDBYFeC3w3uBk59WAsJDUI5WmF8oKpvL4HtfyNFwsKQSsj4TZ2+mPdc3zXC2Y+rVgZXl8okzs9gRmyCSejFC7PkejLMPSmBzDsrQUPr+5cd46IgIDv6Nyh2p1DP6xug44DCs+BZllw6kKjKNgRSPYqrCgY5rWgsaRRhkYBrDBE0tAsweyrgtfSaV32ihUJEU5GcarBVFvl+yyen0ZEyIz2Ek7FSPRlqMwUKE/nt3z9+EDH8rWXeE0H07YIJaPb8hk0bTfoFsdtMkxFOBmsFF+p1Z4pVZ2H7vtWn2OFg+m7lVmhcKXdf7WDOa20zRER+h49zPg3X8Wpt/A9j3q+QrwvQ6z32rRZOx6mMrVIeqRnS9dP9mdJ9HdQmSlgx0L4rofveAy+6X49u0q7o+jAcZuUAuWDiEKpazd/wwSvGcy0qi8oohkVJD0UUF6QluRat5QOGvtFrCvFwe9/PcXxeWq5EunRbjqODGCu6GLyHfeWZkEZlsnQmx+gPL1AdWoRM2qTHunRiwC1O86eBA4R+R+Af0DwqP0K8ONADPg9YAy4DPyIUmqxffwngY8BHvBTSqmv7X6t16d8oTwdLOSrF4OWgxgKOwaLl0H5Bhe/6TPwOkUoBcoFpw4LF4VWRQeM/SiUjNJ9PFjgZ1gm1dlFop1JRASv5eI7PunR7lu6tmGZpIe7SQ/f2vmath/seuAQkUHgpwj2+qiLyBeBDxFsEvV1pdQvicgngE8APy8ix9qvHwcGgL8QkaNKKW+3676R4qRgWIpEL6CCxX8LF6G+2B4MrxlceUoRSYEYQdZcPZZxZ+h/9BDTz52nMrUIAqZtMvjEUSIdiV2vS2OxQuHyLE61Sby/g/Rw96oV7Zq2W/bqX51FkKLdIWhpTAGfBN7Zfv23gW8APw98APhdpVQTuCQi54HHgad2uc4bUr6wcFEoTioMG7wG+N6awKCERnFv6qfdOisSYvgtx2hVGviOSygR3fJsqu1Qvppj8juvBSvYbYvKzCLFS7OMvP2EDh7artv1WVVKqavArwDjwDRQVEr9GdCrlJpuHzMNLI08DgITKy4x2S7bF8RQ2FGFYSm8luBU5fqgod3xQokIkY7ErgQN3/Folmq4zWAfNd/zmXnhEuFMnEhHglAiQrwnTaNQpTgxv+P10bS19qKrqoOgFXEAKAC/LyI/dqNT1ilbN7+GiHwc+DhAd2znP1qi16djNOh+AihNKwrjsiLJoaZtzcL5aeZfvYLvBlvgdhwZID3ajdtoEU6tnrJrx8NUpxbIHurfo9pq96q9aOO+F7iklJoHEJE/BN4MzIpIv1JqWkT6gaU8GpPA8Irzhwi6tq6jlPo08GmAw53RHU3eFMn4dB6GRgmUJyDBALnyFMVJHTj2G7fpUJsr4rse0WyCcHr/zWQqT+WZee4cse40hmXiez750xMsPScpX63a18NvuUHKdk3bZXuxAHAceEJEYhJsTvAe4DTwVeCj7WM+CiylgP0q8CERCYvIAeAI8Mwu1/k66YFgdpRa6pZSQqMEyQGC1OrarvvyvygA8Ivf/ByJji8sl9fzZS78yXNcfeoM08+e5+KfvcD8q1dQ+ywx5MKZq4RSseU1HYZpEOtOUbg4S3q0m1quhPKDOrtNB6/lkR7r3csqa/eoXW9xKKW+KyJ/ADwPuMALBK2EBPBFEfkYQXD54fbxJ9szr061j//J/TCjygyD76wuU75gmAoxgrUa2u778r8o8MF/leEXv/k5fuEd4HuK8//1CFbUxs4GM6GU7zN/apx4Xwexrt3fAbm+UGbx/DStSoN4X4aOA31Y0RBOvXXdQLdhmfiuR/fxUUCCrL2AFbYZfNN9RPdgdpem7cl0DKXULwC/sKa4SdD6WO/4TwGf2ul6bUVtAZL9QaqQJVZE0aysaIXciCgMK8httTwmsl7ZDvBF0fI9bNn9BmfLNBGlsP2d23RqqeXxwX/1OX7u+I9iGN/Gir53+XUxDMyQRXkqv+uBozy9wOS3TmGGbaywTf7UBMVLc4y9+yGSg50sXpgh1nVtH/VWuU6sK4UdCzPwhiP0PDiK53jYsTCGqTMGaXtDz+O7ReVpIdapiKQVbgPM9kLi3Nmb3/BjnT4dY8E5vgOFCYXnKjpGBavdkilOKsoz1/Yv3w4ewmKHSznt8Y3yJCkzxFh0d24+lVCIl4cGmEsmQRTDCwVOTE0Tdneuafblf1Hgb3zii/wN3ksk8SSNyttXvS67HDiV7zP7/EXC6djyynMrGqI2V2Tx0gzZIwOUJ3PU5ktYsRBu3QGBwTeNLV/DioSw9LCGtsd04LhFXkuYeQXiXUH221oeKnOC2whu9GZYEWpnvG2WWW5BRDI+3fcHZU5dEFPR96BCTChPQ6MRlGUPBXtUV2a3L3BcSvZQCvmEG0KnHaHmu/xFKcIjoRCJVmvb3mctxzD4zuGDuIbQVamggKl0mko4xNvPXdzRhCtf+v/l+ds/9B2YED70BmhU3o7v+Xgtl+Rgdgff+Xpuw8GpN4knV28XG0pGqc4U6D42wti7H6Z4ZY5arkRqKE5mrEcnQNT2HR04boPvCOVpoTy9slSRHlKkV8wDc+owfzrYXjY9FCQ4XMqWqzzBDKugpdHOrK08oVkKdgmszG5PAsSWYTIb7SBcAGlfL2YE//snsh08MDN72++xkblkgmrIpqdcAYJPk63VmE8mWIzFyNZqO/behsBnvjLNx35wgN978kn+uyMtEOh9+IeJZpM3vwBBAG8sVKjlS5i2Rbwvgx0Nb7kupm0hhoHv+au6mdymQ6I9VmFFQ3TeP8TWNqbVtN2lA8c2i6QhM7p6W1g7psgeVsydFKwIrN1KwzDba0GE5RUqvieEQu2B9m0YDnDaQULWBKGwoaiEt34T3IqabWOuN6ahFE1r5/8JJg2X3/m/J/jhn+3kK97/n5//gR8hlHhyU+cqpZj6Xpn8mRpiCcqHwlnhwLszxHu2nuhw6NEKs69UifTYGJbgNnwsw2Ho0U5iHc9t+Xqathd04LgtS9M5r92M411BFlxDINLhE0mD7wfjFgvnfRoFiGSCVscSzwHDYNWAuBVWtKrBTK3tEPYcDOXji8JY8T4132CsUtmW99hIptHANVavuPYBREg0m+ues90sUfzRv8kB8MGez/ML7/jIps6rzDjkztRI9IWW11A4NY/xbxW57wNdGObW/v/0PBisH8m9VkN5CjtmMvauDLEue0vX0bS9pAPHLTBDQXdUojtIq16eURSvSjCbyiBYDDgc7OrnNMCwgu1iU8OK0pRBrFMRSlwbVHeqwdfKMjMEs69uX50t5dNdK/B0p4vhCTmnjgD9IZ+Bws4m0eqsVOkvlZhJp0jV6vgilKMRDs3lSO5S4FgpmLL7uVVlSoGsEwPMMxHMuTBqYfUgvixYOHYZlbrFwf1uwBUIKbhA8KVpdwgdOLZIDEXPAworAo1KcLNJDQbdUfOvQS0H2QNgR6FVleVz6ouQ6IbiOEy/JKQG2htAFWDutIHy2tvMpoKy8rQsn78dZiNpZuJZwmWDZlRxsVnkSDjDe1MNFr2dXXRiAG+4PM54R4aJzg4MT3HfpSsM3WLAcgyDUjSC5fmkGo1bGgFamrJbs23O9PUwnu3A8nwOz81zaD6H1V4ceL4VZ8pxSZmrt3Zd8EI8/mcFEoZesKPdXYZvfogOHFsVSQctiaUd/5QKNmWKZhV2HOoFoVlRxDrBVgqRYGZVYSKYamtFoFkKsumutXhpZ+YXOWJyIdlH0qmTqJgkKvCGeC85r0F5m7rCbsbyfQ7mFziYX7it64x3ZHhpeBBfBF+EbLXGGy6PE3Ocm5+8hmMYfOfQAeohm2ylimcYnBrspxIJ8+j4JAA9ZpMrTgJPuSz1SlV9k4ThEhcdNLR7k15BtEVWRK0/WO2DFQKUkL8QTK2tzEFxCvIX29N05frV5ruhaoVRIpgrUmyICLYYTLfunC1LC9EIz40Ok6w36KpU6SlXqETCPDe6mWek682mkpQjYbLVGgZg+z7dpTLj2Q7K7QkDKdPlaKhI0Q+x4AVfJooT4eK6XVuadi/QLY4tcupBWpHVgtlPbru7vr5g0KoEGzr5riKWDb4q81sZ7FZEOyDeHbRaKvPtjaFuYUW5qfx10wn7ShE29le+phu52pHG9rxVq84ztTrzyQTlcHjL4yWlSITQmgWIAohS1EP28vWG7QY9VouKb2GiSBkOhg4a2j1Mtzi2qFEM0oxE0goxg304opngxu7UgruJ7wizpwTfVfQ8AKkBaNaC/FX9r1PYsZvfrDOjip5jwTiIHYeeB6DzoGKDjPI3FHcbxNwmVevatNum7yEIQ6E7p7uladqY/vqf37uFO3mq0aBlrW5xKUCJEGuuXhAZFp9Os0XG1EFD03Tg2ColzL0mFCfBCgczphYuwcKFYBGGFVFYYYVTCwa3y7PQrEA4HsyssqKKzOiNb/5WRJEegPpi0MJxG0J9EeK9EFonp50rBlUzjLtBCg0DOFacJOw7NKI+zYhPS3m8LtpF4rrW061RBGlFKqHQLYS2zekvlqiH7FXXb5omIdcl2dj67Ky+Uplko0E+EccToWWazKWSjOUXSLRaOEqo+CbuLeYNcw2DUiRM07pzugM1bTN0V9Ut8F2hOCEUV+xLaMcVXYcVdiz4uVlWJPsUkQy49aA1YtiKVD+EYor513xQ1270YgStCwim+wY3x5U3LAE/aK20Ku2BeWAylmUi3oUSQRQM1fIMVXPXPRFEPIeHFy4zMRtCieLtiSGMbeqkL4eDcYZCLEiilKk1eGR8gtQt3MxvpKdcZmixwGRHhrDj4BsGvhg8cfHSqvGbzbJ8n7eev8TZnm4mOoNZVQ9NTjE6n+diK85pq4PZ3gyVVIQDzSJvzl+ls765Ve6Xsh2cHBzANQ1QioO5BY5NTS/P1tK0O5kOHNvAMBW9Dyh8/9psKzumyIwEWXR9TwglgiBimBDtgP6HYO41hdcUwklF930K0w6CgWkHWXKXrrVMrqUqAZiLpLic7CXdrGGg8BGuJLqxPJeBRuG6egoQcoLEidsVNNz2zCQFdJerQBBInjp4gPe8dhZrgyy4TdPkSmeWyY4MIdfjYC5Hf7F0w6m1plI8dnmc0fwCc8kkEdehv1C6rTxbEdfloalpHpq6ljdm3Ilx0urgyvF+TOUTb7Q4E8mycDjBD1w6S0+lesNrziUTvDA6TLZSxfZ9fOBCTxem73F8eudSu2jabtFdVdsgkglu+ksJDiFoYSgVrOcww8E4iNcM0oc0ikGrovOwwjCDdSGuA/Wi0CgK9RJEOyGcunbTtaMKrxWcu2Qy1kncaWC02ycGikSrwdX47mU6yiXiqwaSAZLNJvWQTS6x/i57rmHw1KEDnBzoA6AWsnjq4AHO9Pase/xKBtBbrvDg1DRH5nLbnpxRqSBwlAeSmL5PotYk5Pt0Nuo0asLJgZtv03qxq5NYs7U8iG8AneUKF7u7cQ39K6fd+XSLYxsYFqw3ZltfDNZwxLLBMeFQcGMCUEqIpCDWE2TG9Z2VW4IaVGd8UMEgPECrAvkLsmqvD8e0iTmru4Ms5VEzg3GG9Z7eLculZzBPOvMUyg+BWb+tz+6Y5vrj9UoFr61jJpVkMR6jp1QGIAxEHJczfT2M5ReIuO665+0GBTjKoJSKEV0xQG6Ij9H0KHZFcUVu2OVUD4UIrVlUaSqFL8EgvrVzW5HcNleEq5k0E51ZRCnGcnn6iyX9hKmtogPHNmhVBTGWZjwJhqHAUNQLoNr3wFT7QdX3g2m7HaPBpk9WCNa7xXuusHAh2I4WAa95/THZRpl8OElyRdbEmhUm26ysGzTEUBx/5ALJdA1DuhGrDvFZrMOCe/7W+t7T9TpKBJ9rzVcfUGKQrq8flBbiMcJrFuwtjVFUwqE9DRyGQNZsYtUcWlGLaDOoZ0NZJEIe0ZZz0/GU/kKRM309hCvXPkc1ZJNsNK6b/rufKOD50WEmOzIk6w2UCE8fHOPwXI6Hr07tdfW0fUQ/SGyDVgUqsxDrUnSM+fScUPQ9FHRLzZ4SmmUwI8EeHJXpIMGhHYOuw0Em3eSAwo5eewwVUSDB8V5L1g0aAMO1HAaKYihKw7Qp2VGUwEglt+7xsU5FMl2jsJDE9yN4XgLcMKETBtxijr1Uo8nhuTnmU0lKkTClSJj5VJLDc3MbDo4nGk0cc/UziwJ8ESLO3gWNJYdCVXqnCyyEolSMEFXfxjcFM2Vy/8zsTVOcjOUXiDdbzCcTVEIhFuIxGqEQD09O7ejeI7crH49xNZOhp1Qm5jjEWy16SmUudncuL4jUNNAtjm0iLFxSJLrA6AjWebSq7ZbFGJRnIXQuCBZiQrIXTAuqOWiVg26sziNQnPDxPcGQYIqvu0HAWBL1HF63cIn5SIqSHaPHKdDTKBHZYHl6OAWt5toIYQT/JcBfvLVPf2Jqhp5ylYmOYIOi4cUiPeXyhscPFEuc7u+lHA6TaDbxRVhIxBksFHd0Q6nNShgu73Um6b7Y5ORAP5Iw6PbrnBifYWTh5n9JEdflbecuMJlJk0smSBSajCwU9iSh41aUI2EM5a8KbkvZ/suRrS+w1O5eOnBsk3BcsOLBKm8rEnwpBa2ywp9uz66aF6IZRSgO5cXgGN8TKjOCcn3qi8E+Ho2CLC8mvOn7+i5DtQXg5jmg3AZYibVP9EHrRt3GPUGA3nKZ3hsEi5Uirstbz1/ilaEBcokEhlIcnM/zwPTMrVdim0UNnyfqs7zxwiyuYWD6/paa52HP41B+gUO3mZtrN4VdD3+DwfvQHnYfavuPDhzbxAwrkj1B95LvXcuKG++BhSsQEsH3oFESwql2dt3Ctem1TkNolqA8df0vrh1TxLuDXQLri1DLy5b26TDDwfnRjCKdLON6K0YjzCbupEJtYnmCJ8JsKsnVTAbbcxleLNBZ3fjEpmUykcmQT8RJNZqMLCwSb7co0o0Gbz1/kZZpYvj+vl3fILAqxcndrKdcId5sUYxESDUaKKAYi5Gu1cne4P+zdu/RgWObGGbQDeWvGPtUPoRi0DkGjaIinAJU0NIoT0N17trN37SgWbk+GEQyPj3HwPNg0YhRH4lRqxiUX2nSVa0sT8VdajmszWVlxxR9J4LXPEdoNkIMj80SCk+j/DC0ErSeu/mN0QeeGx3mTG83pUiEWnvm0LtPn+XBdVoKNdvmW0cOUbdtIq0Wc6kk53u6eNu5C2Tq1wbz184+upPk4jHO93RTjoTpLlc4vAPTg3eT5fu8+fxFXhoaZD6ZABT9xTIPXb2qB0O1VXTg2CZeS2iUFKEEeM0gwWGiFwwbnBa4rSBgVPPBnhypQcEMBVuThmLtLqq121OIovNQkLLkSqSbqkQIlx2SSZcrI90UJ+McrU2THlQk+4O9QSo5RXFc8FpBAMmMBgsTl7q+5vKd1KthBg4OU6k8yGjiCmyiFyKXTPBaXw9zyWSQ4qPZpGbbfOX1D9FfLNG1Zt/wi92dNCyLrqXdBVstyuEwrw4O8NbzF2/zb3vvTSeTPHX4ALFmi7DrMtmR4WpHhnecOX9HB49Eq8VbLl4K0qSooMtN09bSDxLbpFmG2jyUpoOtYE0zGByvzgfJDTtGIdYFA68DMxysGnebwWv5CzD/2vWZb61wsBNghQhVK0LcbWIpH68JQ9ESs9E0ifssUoPBzK5GGeKd0HNMBdODJVh46KzpZahWotihRZTa/FSquXicuWSCaKtFzHGwfJ9Us4kCXh4auO74qXSa1JrpuIlmk1widscvglPAq0MDpGt1ks0mIc+jo1bHR7jY3bXX1dsWYdfTQUPbkG5xbBPfFebPCt1Hg5aDSrY3dloMZlE5DVDNIBFix0jQApg7deMb6NK+H03TvLZyEDBNhesI8ahLqMugkbsWcJrlYNFgJKOoLwieE3ShqRX3AMvy8P2tTa+0PI9qOLyqmwkg7LoUY9Hrjo84Lk3LXDU+4BkGtudj3GDMwGsvQBtvL0AbzS8wUCjuqyeclmlSC4WutabaEs0mc8l1slBq2l1mT34fRSQjIn8gIq+JyGkReZOIZEXkz0XkXPvPjhXHf1JEzovIGRF5317UeT1iKGJZn8yoT7zXp1kWrj4v5M8HrYjCZNB95DlcW/EtUFsMUq3LTfbC8FpCLQephLu8RtA0FZapyOdD2LbCXOcmrPwgRUk0q1C+Ij2oMOx2+gvDJ56sU6sd2NJnHS4UsV2Pqn2tlVINhwm7Lr2l62dTHZ6fpxSL4LZzYvlAPhHn8Oz8hv/oFPDCyBDfOzBK3bKohmyeOTDKS8PXt2j2ku152J6Ls6bl1LAtUo3GBmdp2t1jrx7k/j3wp0qp+4GHgdPAJ4CvK6WOAF9v/4yIHAM+BBwH3g/8uojseZ5qw1L0nlB03Q+JHug8CAMPKwwTqvMGi5cMmkUhnFoaMFfYURVkyq0LYgQtgZtZuCiomRadsQZWCuyQz/kLEWacBKFqs71mY3UAMmxFahC67w/WiBhmsJ9HrCsIGhdfG6LV3NrNOO44/MArp6hEIyxEYxSjUax20Dg6N3/d8f3FEg9PTFGKRcklEiwk4hydnePw/PqLEwEWYzHGsx30FkvtBWgO3aUylzs7KUX2zwI0A7hvZo58Ir4cPOq2RT1kc3hu48+naXeLXe+qEpEU8Hbg7wEopVpAS0Q+ALyzfdhvA98Afh74APC7SqkmcElEzgOPA0/tasXXSPQF6zEahWvdRHZMkRnzqeWE1GCwr4bnBNlwnSo0SlCdlyAhYn1z28j6nrB4DpyJEpPpLqbpRPlCb6PASGWeagLi3SzvOBhOBI0T0wr2PwdhoQKhuI/y4XtPHsd1LdbPZHVjr7s6RapR56XhIVzTpKNW58TkFF3rZIsV4PB8jtH8AvWQTdh1Cd8k3UY5Esbw1XUL0ILXItuepv12HMzlATjT10PLNEk0m7zl/CWyNT1tVbv77cUYx0FgHvhPIvIw8Bzw00CvUmoaQCk1LSJLqVIHgadXnD/ZLttTiS5wG8HaCt8B3xecGnQegHinolEONnIyzCBzbnUOmlVZ3vxp7hRs5eZtN1wONGYYkVlQYLZbGfnzQqtybVZVcSLIrCtr0qa3qkawa+FtbBUrwKH8Igfyi7imie15G36ChmXRskxiLWfTN/yw6667M66w/xagCXAol+dALn/TvwtNu9vsReCwgEeAf6qU+q6I/Hva3VIbWO/3cd27n4h8HPg4QHdsBz+aBIPP8e5gT3GAWl7RKEEkDQvjQHuBXn1RQHwahaDSjSJUZje/Mnyt6xLsKaE8LZSvbSdBKOEvbyi14sDgvy0sHNyIwcbrL1zD4JXBPsaznSiCtQEnrk4xtolUHV2VKvFWi2I0Qqo9CF+MRUnWG/t2AdqN/i407W61F2Mck8CkUuq77Z//gCCQzIpIP0D7z7kVxw+vOH8IWDdVp1Lq00qpx5RSj6UiOxc4Ej2qvQYDnHrwFe+B9BDUS8HTfjjlE8n4WGGF2xBaNWHuZDD2catBY7PKM4IdBeRakImkgn3Rg26qnfNaXw+XOzvJVip0VyokGg2eGxtmfoO9OVYKFqBdIlOrk0skyCUTdFaqvOni5Vva4U/TtJ2x6y0OpdSMiEyIyH1KqTPAe4BT7a+PAr/U/vMr7VO+CvyOiPwqMAAcAZ7Z7XqvlBqC8gw4zWDdBLDcLnLr0HlIsbz9tyjcBhQm1rvSzmgUYPEyZIaD9xcJpgUXrlwfsFwF1VCIkOtuKbWGK0I5EqEcCeOL0FGrE2+1uNjVRWeluvxEYvvBDnoXuzrpvsnOeRAsQHvzxct7tgDNE6Fh29iep1sSmraBvVrH8U+Bz4tICLgI/DhB6+eLIvIxYBz4YQCl1EkR+SJBYHGBn1RK7eFvtMIKQaMu1OaFxmLQ+vC9YLwj1hEs2muWCdKLhIOn/ZUbNUEwVTbZF8x4qswFg+a30o1kRRTJ/mC/8lYlaG04NaF0VajMKewo+C7rtnKutipcXIwx/8B9mMrnyOw8R2fnbtgMVcClzizPjo1wtrcbXwz6ikW6K1VG8gt4hlzXOrA9j3poa3nbbzaQvhOuplO8PDRIyzIR4OB8jvunZ/dtHi1N2yt7EjiUUi8Cj63z0ns2OP5TwKd2sk6bJ9TyQd4ppxYs/PNdCCWgVVUYBjSrQQARs70HRw7CSai3E6VmRhTpkWCmlVLQeViR6FXMvCrgb7730I4p+h4MZlO5TYh1Bt1oM69CqyL4jtDcYOZWzq3zSj3HIwkfKhWUBWfHejB9jyPz+Q3f82o6xfMjQ0ynk3TUalieTzEWJVutcrmrE8NX1Gyb2IqNmsqRMMf2+V7b+XiM7x4co6NaI9Vo4IlwrrcHUUrvE65pa+ynBbl3jOKEIAKRlMKKKCIpBT6UpgSlhFrOIHdOmD8jlK4a+I4srwI3w8Eai/pikL8qklIkeqDvQRh9syKS2Xx3UXpI4XvXgkSrKrgOpEdu/oR8uVkkblqETZ/skRYH31HjkUdyuD8UgxtkzTjX20PI9XANk7DrYSpFstFkOpMh6jhkq1Xq4WDzokooxHwyQbLRZHRhf6cXv9TZSbTlLHdPmUq19wnvuuNTpGjadtMpR26BUxemX4J4d5DUsDwDtVyQ3sNtBMHEbUiQsFZUsKZiMegqsqPtKWFKiHf5wRqMdsvDtKH3AZh+RdFaJ1PuWtGOIAHiSm4domlY2sZ2I3XlYYtJKp5HxhzqiwYowc2YhN9h0fozF7XO9hq19ngIK6b7mr5PNRzGR+io13lk4irjHRmqkTBH5+YZLBT3/XhBNRy6bsqvqRSeITimgXWPpFbXtM3QgeMWea1gHGGt+TPQ/UAwXXdp0vDCJZYDge8Et3MxFLHOIGhAsGe5Uw/GI5J9ivz5mwcOpx4EG29FMlbDDjZsutkakS4zypy3QDxaJr8Q7PPWsCwiRQfD9THHBPeV61sufaUS06kU0VaLum0RdVwatk2yVqdlWwwUiiSbTY7P3FndO72lEmf6eoms2Ce8YVnEmg7hfbCdrabtJzpwbDOnJky/EIxpiBkMWC+lOIcgUDRKEM2oa/mnQgrfhVY1SEViX58zcF3FySCVSNNT+J4gZjBIPv9a8HoQnBTRbBBcVu7/MRZOUWzmKHsGLdOmZZn4Ihyen0GZYCSDhIxrHZ2dZyaVpKtcYTLbwWIsWDByuFrh2NQ0Xft0vcXNjOUXmchmmU/ESTRbNNsLGN984ZLuz9W0NXTguB1L6ySUBN8rUAieb+AX1QbP/ELuLHSMBWMdoSS0SlCeE5QnhOOK4uQG77FGfcEgd9YnMwohKwg++XNBt5kYKmj5pIKBcyMFqT5FV2GR3GwHUcPideFR+m2fcXFIl+r0VspEWw5Gj+CeXb9rJtls8q6z57mUzdJbLiMK+oolBoul5d39dtNSLW/35h5xXd5+7jzj2Q5mU0k6K1UO5PPXZQPWNE0HjltihhSZkWDluGkpMIMuqIIX5dVCFxMLSeI0GWvMky5Xrrvp+46QP2dSW/DovR+cZjB4HkkFua0qc4JhKdJDwZRdgMqcojgpq1ovECRUrOYUhhV0cy29VzTrE0mvzqUlpuLQAxMs5FIARIwww26KpDOP7ygwwOgW/LLCndx4gN3yfEYXFrlvdm7Ppqo2TZPT/b2MZ7MogZGFRR6YniVyG6lJwq7HkbkcR3SiQk27IR04tkgMRc+xYM2G01BkjoARgvyixaVilgOjNQ4OVnCxaFoJUvkWzTMtmuV1Wgx5k6mXFMm+YL1FcTIIGp4DvceCbqdGe4A63gPhpGL6Za5vfSi5LmFiNAPemhRRyhMsyycaW/GCk6Dxlx7WIQMjBq2TPu5lBes0Hnzgtb5ezvd2oRAs3+eBqWkO5m+eTmQzFFCKRKjbFp5hEHFdMrX6detCfODpg6MUozEytRqiFJMdGQrRKG8/d0GvMte0HaYDxxZFMsEYhNuEvmMQSgWtjeQBk86zdRJRl3Ta4+wZi5ZS5CIpDh2bZ/pFcJvXB49WRa4bCA8nFeE1rYVmCSIZ1W5F3LyebjNIprhasCug66x+wc9BK3fzWUMXurt4rb+XrnIFUykcw+DFkWGijkv/OntybEXDsnh2dIRLXR1c6cziiUF/scjIYoHHL42vyjq7kIizEI/TU742pSxbrTGXTJJPrC7XNG376cCxRVZYoZQiMwxiBTOblAdu2GR0oEGrZdBqGVgm+I5P2Q8jAtFORXlqcyvDzRDrpnFUftBNtpmsurW8kB5SGLZqr1oPxjvyZ9NUHZvxZoma79IVMhHj5tNNfeDSSCcH0otE+zzqiyb1vEmi0eB8T/dtB46XhgaYS8TJJRJkqzUs36cUi1Kr1Hjq0Bjff/K15ZQoDctamYZrmShFw97aCvX9xhPhYlcnF3q6cEyT4YVFjs7Or1pQqWl7TQeOLXLqwQC2GEHQCCfB88DwfTyxCIdc6nUb1xVahknMbeH5QeqRzXIbtGPD6iBhGATrQzZTz5owd1rReQhCsaUMvnDqwhDTwy3ONBexxeCvyhHMQwd408XLy2st5pIJLndmcUyTgUKR4cUCRhZG31Qj0WpRNkPIQyGcRZvqsxaeGFxNpxjPZgEYWVigv1ja9IB1w7KYTqcxlY8nxnI9Qo5LKRohU6+TT8TpaweneKuFb1z/96AEYs39s2fHrXh5aIBLXZ1kK1ViqsVEtoNcIsE7zp7fUi4xTdtJOnBsUaMYpBRJ9AXdR+FUO91IuUXLDBOJeixMWTTExjFMhmoLmIngvM1qVaGWg3gXNCvBTT8Uh3qhnQNrs3UtGFx9XmFHgl0IvZYwlwbxhawVAaA/5PFaPM54R4bDuTznu7t4eWiAWLOF6fu8ODLE1Uyadx8aJ1R2OBvtpG6HCJVd0l0tTj+UoXlZqIVDJNr7bjx9cIzucoWechnTV/SVyiRvcENfCgJKZFVGX0OxvGrbX7HgMFOrM7hY4GpHho729N9CLEpvqbxv069vRjUU4nJnlp5SeflxIVutMZ9MMJ1KMlLYwj8iTdtBeor6Vilh5kWhtkCwf/g8lKbAL/tkamVefT5KE5tMqM4RZ5aOeJNGYfV4xQYXxo4GXxBs0LRwqb31qwWFKzB/Rtadlnuz+jr1YDZWS0yaYYW9IuGiiEeXWWG6L0XTNDk10EdXuUKy2STmOGSqNaYGUhR7o2TnaxRiMQzfRxRUWiGGkhXmU0mS9QaJVotEq0XTNPn6/Ud5aXiQ0wN9/MUDR5nIpDesYrTlkGw2gusiy1NsGyGLjmoVVBAslusMPDo+yYOTUzimiWOanJia5vHL43f0P+hayMZQ10/jtl2XUmyTi3s0bRfoFsctcBoGU8/7dB6Epd4Dw4TFcUV4skg4GSQtNGzI54LxhhtlvrVjiq4jannzJacOubNCedpYtUHT7TIIbkoKBSiy8Qn6s+NEnmgQdh28RAiaKki1IRKsaUincKMGJwdqdDQrDBQKKBFalkWm3iBaMLE8j3ooRNxxqIRCTHVkSDabRByXzkoVxzB4YXSInnJl3TTpAjwyPsm3Dx8kUa8zm07jC6TrdRDhwYnJ6/r4Ld/nyHyOIzfYw/xOE2s5+CLXJYtxLIvUisCpaXtNB45bVJk1aJYV8W6fSBKaNYJ8T0CzLOtOv12PGIqeB1R7d8DgHCsSTPmdeiGYQrtdLOUTL5lUUh6J8Dwnur5KvRklX41wbKZA/IBPttaCV2Eqk2YmkyJVq1NRYVoTitJwDKdoMVAqIoYimvU5PZ6BNNh+EBBKkQiG8vHFwPKCqGr7PqVIhK/ffxTL9+kplzk8lyOxYsFgR63Oe06fYTqVYi6ZwBeDTK3GQKl0zyzCi7dajOXzXOrqoqNaw/SDzMOJRvO2Jx9o2nbSgeM2mLYi2ddOE5IIVmYXJxWFcWGz+4mHU8EsqqWgAcEAeCQdzIKqb88SCQC+Nvkz/NTPvomT9TwDqc+Qb0QofG2c0cVFMtUGNODg4SLfTfYwlUmRrDdotWcwtV5SJJVDaMyCiEG45TJ3OkS5YJEONfAJhvIN5VML2WTqTZKN4Iafj8U419PNidY03ZUKkx0ZrnZkeMeZ86uCR9RxOZhf4GB+85l0a7bNxe5OZlIpYq0WR+bmN7Vh1FquYVCIRUEpMrX6ni1sfGhymkSjdd2sKj0wvv8UolEmO9K0TIv+YikY07tH1hDpwHGLxFB0HQGnsWKTJlGkh4Ob/WYHsQ1rVaLZFW+w3jqMW/e1yZ/h7/3cWwH4WO8fUUvUmfvNFzlUc7DbLQM8GCsuMlEO8/LgIAoh6jg8MD2L3fTJPReidREMz2SKDL5r0FMt88R3n+Vsbw+5ZALPNIm2XA7NzWOqoCV1rq+bdK1OXymYadVRq7MYi3Gxq5OHpm69L65uWzx55BAtyyLZaFCOhPmrI4d47PI4I4uFTV8nl4jzzNgIjmWiEEKuyxsvXaFzDwbaTaXuui64u9F4R4ZnR0cIeS6mr7jclWVoscBjd/g422bpwHGLQvHgxu6v3FlPCZ4TZMbdbFeVU6U961atGPgOnlpaW39wvs7XJn8GgL/7s2+m4bs8kfotpj78JewTQvqIgV++9oSk0gatPLzhwgRVM0w1HKKjVl9uO5UjYQ5dyXF8Zpa6HfzTibYzx/ZULi2XFaJRnhsdYT6RwDUNmqbJY5OTq36hYs0muWQCaK/LQG15178r2Q5alkVnNfiLCnkeIdfj1cF+BgvFTT39NU2Tpw+MEW21SLe7xBqWxVMHD/D9p17b9+ngtd3nGAYvDQ+SrVaXW4LJRoPJjgyj+QV674EFqDpw3CK1wTo8WT+p7IaculC8GrRU3GZwohUO0o+st93rVnxt8mdQKN71Uw9x2f0dXB9O/9Ipjmc7GDu/iDmoMLsFr66Y604xm0xy8cUE6jiM5fKc7+1mMR4j5Aap0+PNFgfzwe6A0XVSjS+VRZ0y7zt5Ouj6AcKOc91eF03bJtFo8q3DB8jH4ygR+oolHpqc2vRit1wySWxNYsWQ51EyI0F9N5F0MZ+I45rGqhxXETdYP5KPx+kvlTZVF+3eUYpG8EVWdR8Kwb/zuWRSBw5tY61qsFDPCqvlVCJiKAwTaotbu+EXxoVGEWJd7YV6OdnSuo/1LLU03vvTD1NSX6XH9Cj/u+8QMwyeGx0mdMGl/y/LWMPC1OEMZ4rdmM+3SNYbQQLBgT4euzxOLWRTjkTpqswzUCiuOytqPbbvL481HJue5cXhQTorwRNa3baphmwatkW4PfMKgi6jpw+O8c4z565r7nsiuKaB7XrLryUbDQodwc6DK48zlLouUG3EM4x1A70A3jqLDDXN8vxV64qW+IZBxL03VvjfC91xO0MFW8NiQDStiKQV4QTkL4BT3eoNR2gUhYULBgsXjPZA+e3dtN439KsoFJ/7o2cpue9mvPF+sj/7ZmzfJ1lvcLa3B1rQvAjfm+rHP+Wh6sF7hj2PWLPFdCbF/bPzvOHKOAfyC5sOGmsdzOV5/fgktXCI+UQCQ/ncNzMHQLrRYOnTdtTq5BIxTvf1MptM4BoGCrjYmeVrx+/nT48/wF8cu5/JdJDd90Auj2cY1NppRlzDIJdMcGgut+nB5I5qDSVBwFniSbB748r8WJq2JNVokK3WllvUAE3Lwhehv3BvtFB1i+M2rNq0yQi2cfWd/fOU+v1D/47fMv8x3/yj1/i+v3mcC/X3c+hnIaVg4tefB4KbrWOY1+WqCrku1dDqPCk+sBCP4ZgWqUZj0/tvCHAwv8BYfgGvnRfrcmcHxpoxiJlUktP9fdTsEOlGg7DrMrSwyPneXrKVCrbv0zRNnjk4hn3+Ir3lCm85f5FXBgeYTyawPY/jV6c5Mje/qXp5ItRDNn3FEhPZDiLtrjbPEB6auEqsdW88PWpbI8AbLo/z3Ogw8+1xupDr8sTFy6tmCd7NdOC4Tcq//W6lnWKgeCL+xzRSIb7+R/A3/04WP95F2n6B/n8+Bv/gNKGWR6LZoG7bq7p8KpEIB3PXZvbUbJunD45RjEYQpVAiHJ2d49j07KbbRgZBTi+AVKO5arFbNWRzsauTaMthqFAk6jhUbZuvHX+AR65MLLcgwp5HotHkXE8PveUKXdUa7zx7npYZBL/NTocsh8M8dWiMWii03C0VazQYLRToKVVIN3Z37YgrgrnOqnFtf4o5Dm87f5FyOIxnCMlG856Zigs6cNyQGAozFOR52k8tia0Yq8zxSsco73nky5QmxpioRzjy0IN8f9czRH//zUz9ze/w0OQU3z58kKZlEnFcauEQtudycD6/fJ0Xhweph+zllOU+cKavl0SzSbZaJ95sbqnfM1utMVgoMtmRIdFoMJVKUQ2FODKfWw5gEdelFg7jWBaRFd1kYdelHLnWGhLYUjeaAp4ZG8FH6G5/Hk+EXDJB5+TUrgaNhViMVwf7WIjHCbku983McSCX133Id4gb5WC7m+nAsYFYp0/2ABg2oIId+BYv3zh1yH6UdBs8Wr1ER0eIXPU0peITTP7ZIld/6APYoRyjX0jBj/wp7zpzjktdnZQiEQ7P5RjNLyzPbqrbFnPtfcaXeIbBTDLBH73+YQ7k8kQdl4cnJjc9o0SAR69MLHcTRV2Xg7ngfZeYShFrNqmGQqt+QSvh0G2tpC5FIpSjkeWgsfReIddlKpO65bENBRSjURzTINlo3nQ3wlIkzF8dOUik5dBdrixP8/QM4ajehVDbx3TgWEc4qei+L1jE59eCjK3JPvB9ReHynRU4ANJ2k656g0RFWKyYy+XKt8EM+mQz9Qavn7i67vmK6/MnXezupBiN0lWp0lWp0rAsvntwjHe9dm7TT2GmUowsFhhZLLAYi/KN+46sep+mZTGysIgIFCMRIo5DKRphPhFHFHzn4BiH5vP0lrcWRNS6Ky7BUGrd2TKbUbctvjc2Sj4eR1TQrXZ8amZ5IV/TNJnKpFiMxUnXagwWS1zq6sT0/eV+cdv36SxXONvby8Hcwk33SNG0vbJngUNETOBZ4KpS6gdFJAv8HjAGXAZ+RCm12D72k8DHAA/4KaXU13aybok+hdsCfylPlBLqRUWqF4oTalvzR+0GzwEEXsh/AID3/I1jHI79KVgNZn/iuZueH3UcsrUa5XCYZLNJw7JYiMWwlE9PJXhqj7guNRVisiPDAzOzW65jR63O/dOzvNbX2x40VxhK8a4z5wh5Phe6O8nHYizGYySbreXuqm8fPsDDE1c5lMvf9D2WJBsNoi2Hum0trz3xgYZt01+8tVkxLw0NUoxG6GkHMU+EV4YGyNTrxJstvnXkILVQiLDjMJHt4GxfL4bvE1mbvFEpPENoWSZWSwcObX/ayxbHTwOngVT7508AX1dK/ZKIfKL988+LyDHgQ8BxYAD4CxE5qpTasSW9dhj8tb0MKmh5GGawcdNeWVqfsVX3Ry7xgz/WhdPKcDj2J2A6LP6HF/Cmbz6gJ8Drxyf59qGDzCcT1C2LSiTC6MLCqv0vLM+jfhs78D0wM8tgoUAuFqMeCtFVrdFVqWIQpFG/0pGhFglf62JyIdJyODXQx/BiYdOrvE2leOzKOE8dOkA1HIyV+CIcnpun6xbyXNVti5l0alVXnqkU0ZbDlWwHIc+naVkrusaaFKIRypEIEc9btZjSMQxszyO8zgJLTdsv9iRwiMgQ8N8BnwKW7oQfAN7Z/v63gW8AP98u/12lVBO4JCLngceBp3aqftUF6BgFb8XMOtNWuM320/seWZlvaqtE3kitdp4HOv4LALn/z3M4J33Y5OdJNZq857WzzCUTlG0bAXqLpVVTauuh0PIT961yDZNzfb3UQzZnCTLGPn7pCpl6g1wiQaR1/RO6L0ItFCJUr+MDjmWuWii4ns5qje879RpzySQt06SzWiNdr9/SrCZfDOD6GVGG7+OYFnOpKKk1GX5T9QbVcBjT8VhsZ8BtWRaVSJhHr0zcUzN0tDvPXrU4/h3wz4HkirJepdQ0gFJqWkR62uWDwNMrjptsl+2Y6pyQ6AkW9bmNYIDcMGHuFFvfSGmb3E7QAFDK5gHjSab++veCebG30GoKeR5D7V3o4q7Ls2MjRBwH0/OpRcL0lCrL27veiqZp8p1DB4g4zvLTeTUU4qmDB/i+02dINJtMdaRhxRCKTzBmYbsul7MdnO7vo2WZhFyP41PTN0x2GHY9hm+SDLFpmtRDISKOs+Fgd6zVItloUg3ZxFcEtmokzAPTM1TDNu6Kfd09EcrhMJbn8fazF7jQ08VsKkW81eKhySn6bjP4atpO2/XAISI/CMwppZ4TkXdu5pR1ytZ9HBORjwMfB+iO3fpH811h9lWIdysiGXAWg2Byu7mjbsVS19RS0Hg0+Zu3fK2pD38p+GYbutpGFgskmi2uZDto2hb3z8wyWCzd1oDuUt6oaO3azTfeajGfTJCPxxkqFDnT10MlFCLRauGJsJCIM7ywyEI8xnOjI2SrVVKNBi3T5Htjo1iez8At5JtSwPPDg3z7yEHK4TARx+UNl8d5y4VL17UGVm5EVQ+FMX2PlmUxUCgyUCyhRHj2wCg9xRKLsSgXursoxmL0F4u8OjjAIxMTvG5y6pb/3jRtt+1Fi+MtwA+JyF8DIkBKRP4LMCsi/e3WRj8w1z5+Ehhecf4QsO5vmVLq08CnAQ53Rm+rre+7QnlatnUHvlu1NmgsB4BNyseD/TCKx+6ns1LlyNz8tqxVyNZq25qWwzHNdctFKVzTIN5q8bbzF3lxaLCdukRxaG6eB2bm+MbRw2RqteVxjpDnka7XOdPXc0uB43RfD3/88INk6sE4S9My+YsHjmJ5Hm++dOW645c2oppJpajbNp3VKt3lCgYwvFigEg7z8tAAZ/t6iLRcDs/NM7KwSC4R5/nhYd506fKW66hpe2XXA4dS6pPAJwHaLY6fVUr9mIj8MvBR4Jfaf36lfcpXgd8RkV8lGBw/Ajyzy9W+Y80l4nz78EGiLYeI4zCXTDDVkebtZ8/vu531Omo1VHvP8aXxCU8EX4Ros8X5rk4W4zGGCgVePzFJotnC8n0UUImEVw1OQ5CttBCP3VJdvnPoAPFGk0QzGOiKOS5d5SrfOXyQN166wnohLuq4HFhnEyoDOD4zS9MONsXqrZQJtVPId9RqzKaTVEOhTadw0bS9tp8WqP4S8H0icg74vvbPKKVOAl8ETgF/CvzkTs6outucHOgn3mySbDaxfZ90o4Hlepzp7bn5ybdpq02+VKPJfTOzzKeSFKJRFmNR8skEh+fmefbAKK8ODZCPxznd18e3Dx+kFgpmcAnQVa5QCa/OrVWJROgp3VqK68VY/LqU7VHXoRoOb9gyuhlfhEy9vhw0IKi7KHDM/fSrqGk3tqcLAJVS3yCYPYVSKg+8Z4PjPkUwA0vbAk+EYixCd3n1FNN4s0k+Ed+R91TAeLaDM3091EIhusoVjk/P0FGrb+r8B2Zm6SmXmU6nMfDpL5SZ7MjQtMxr01mbTUqRCCcH+njTxaDb6Pj0DE8eORzknGo51EIhPFO4b3bra0oAhhYXudzVSXflWuAph4NWza1mCe4vlhjvzK5aINkyTWzPJdFo4omQT8Rp2DaxVotseyqypu03euX4XSxI2eHQtCzCK2YENWybVH1ncuxc6szy4sgQmWqNrmbQCnjyyCHedeYcqcbN31MgWL+xYn3IN48ewvbcYI3Dih3X5pJJvHZywESjyUOTk0xmMssD04dyuU2953redv4Cl7q7yMXjxFst6rZNw7b5gWefv+VEhL2lMn3FErOpJNGWg2uaOKbB4xev4JkGTx8YYyEeQ1TQOukpl3n88rjehVDbd3TguMs9MD3DMwdG6ajWCHseDcuiGgnzyMTktr+XJ8LpgT6ylRVbajabeIbBha4uXj+5fkqTjTRNk+dHhjnb040yJJg+u7BIf7EUTG/1fAylmEyneHFkGNcwQIJxg/vm5tZNi16MRLjUlaUYjdJdrjC2IifXSkOFEn/3O9/lO4cPMpNO0Vcq8abzlziyhRXqa1lK8filK8ymksykUkRch+HFAqlGk5cHByhGo8tJJAHmkgkudHfd0kp8TdtJOnDc5YYLRdTlcV7r76MUi5BoNHnT+UvLu/Ntp5Zl4q5oFSyJOg6FeHSDszb26mA/88kE983Mca6vh2irxeWuLJGWQ8u2ePDqFKVIhO+1A+PS+xaiEb43OsLbz11Y1TrIx2N86/BBLC9I9XGhp4srnVnefu7CugPTw8USf/u5F7c15bmlFIPFEoMrUpso4HJnlsyaGWod1RqXO7M6cGj7jg4c94CRxQLDiwU8w8D0/R3b8yHketieR8s0V3Wv1EI2I/nFLV2raZpMdHTQWakgQDOXZyqboWWYXOjt4j2nz3JwPs+Z3h4s318VrDL1RrDCPRJe1VX18uAA0VZreZFexHVZiMe40N3FQ1c3Xkdh7cIqbtlgKsFG5Zq2l3TguEcI7Hi2VVMpjk/N8NzoMKl6g5DrUomEUSLrTlO9Ec8wgtxg7Z+HiiV6yxWK0QipRpMTUzNA0MoxPZ9CNMJUOk0jZJOuNwg5bnCNNscwgu6pyupZVsl6g5lUkoe21ou2rYRgG9zz3V2rWoKL8RjH2p9T0/YTHTi0bTW6sIjtepzt66YUjdJbKnHf7BzJZpOmZdIyLaKOc9MgFnWcIJ/TivUNtu/jGwZjK4JQf7HMcyNDLMTjRB2HkOsyn4gHayZevfYepu8TWjPADkHq9kRr7zfjOTo7TyEaYy6ZQFSQ2aavVN5S1l9N2y06cGjbbqBUWrVa2xXh5cEBLnVlAcH0fY5fneLAwvrdV03LZCKTAQUT2QzpeoNYq9XOMFtlaEV+qc5yGcey8EwDzzNwLAsBRnMLXOnuJNNO5WEAR2bneWVogM5yBUspWqZJJRre8qD9Tgh5Hm++cJHFeIy6bRNrOXTUanorWW1f0oFD23Fnenu40NNFV6mMQdBt9MLoMHHHWTWLCILxkL86fIiGbRNutzoq4RDDC4sMLxboKZVXjTl4lklvscTwQoFCLIrteWSrNQzfJx9fvVbl0HwOX4RzvT14hmB7Hm+4NH5dHfaKQZC1V9P2Ox04tB3linCxp5vOdt4mCLqc4s0mF7s6r7tpn+3ppmWadLXHIpLNJsVoBICBdTZZsjyfsOcRa7bI1K8tMixGI/SuydRrAPfNzXMol6dlmoRdV6cv17RboBemajvKM4zlRXor2Z5PLRS67virmQzp+upV5sl6g5lMet35RaZS3Dc9y0IiQaudCqQaCtGyLA7Nrz8+YPk+McfRQUPTbpEOHNqOWspSWw2t3hmwEg6vu01r2HWuywXlGQYhx90wv76hFA3L4umDozw7Mowv8NZzF1a1QDRN2z46cGg7SoCHrk7RCIVYiMeohkLMJxNEHYcD68wYOjo7TyEWxZMgTPhAPpngyNz8utc/09vD86PD9JVKvPn8JQ7m8igxdKZZTdtBeoxD23Gd1Rrveu0c49kM5UiEg/M5hhcL6yYLHF4sUA2HOdvbvVx238wsB+dz1x3bMk3O9nWTrteZTqfIx+PYvke01WK8I8N9c9efo2na7dOBQ9sVyWaT49M3T50hBBlyD87nqIdsoo5D2F0/yV/DtnAMkzN9wXaxsWYLzxAmO9K8NDioA4em7RAdOLR9Kex5hOs3zgobdlyKkQg126KjPZ5hehBpuSzGozQsa8N9wjVNu3V6jEO7Y4U9j85ard3yMFAEM6ps3ydbq687a0vTtNunWxzaHe3Y5BS5RIK6bVMPhchWqgwUCtTCESLrpEvXNO326cCh3dGGiyUGCkWUBOs9PMNgIRHn4Hxu3X02NE27fbqrSrujRVyXt56/SGelykIiTjUc5vjVaR68Or3XVdO0u5ZucWh3vGSzyRsvj+MTzMrSiQE1bWfpwKHdNXTzWdN2h/5d0zRN07ZEBw5N0zRtS3Tg0DRN07ZEBw5N0zRtS3Y9cIjIsIj8pYicFpGTIvLT7fKsiPy5iJxr/9mx4pxPish5ETkjIu/b7TprmqZp1+xFi8MF/kel1APAE8BPisgx4BPA15VSR4Cvt3+m/dqHgOPA+4FfFxFz3StrmqZpO27XA4dSalop9Xz7+zJwGhgEPgD8dvuw3wY+2P7+A8DvKqWaSqlLwHng8V2ttKZpmrZsT8c4RGQMeD3wXaBXKTUNQXABetqHDQITK06bbJdpmqZpe2DPFgCKSAL4EvDPlFIlkQ3X+260Y+h61/w48PH2j80PfOG1V2+7onvu4/z6X637Qhdwt244cTd/NtCf7053N3++CJv4bHsSOETEJggan1dK/WG7eFZE+pVS0yLSD8y1yyeB4RWnDwFT611XKfVp4NPt93hWKfXYjnyAfeBu/nx382cD/fnudHfz52t/tvff7Li9mFUlwG8Bp5VSv7ripa8CH21//1HgKyvKPyQiYRE5ABwBntmt+mqapmmr7UWL4y3A3wVeEZEX22X/Avgl4Isi8jFgHPhhAKXUSRH5InCKYEbWTyqlbrw1nKZpmrZjdj1wKKW+xcYJTN+zwTmfAj61xbf69BaPv9PczZ/vbv5soD/fne5u/nyb+myi1LrjzJqmaZq2Lp1yRNM0TduSuy5wiMj726lJzovIJ/a6PttJRD4jInMichdMM77eRulo7hYiEhGRZ0Tkpfbn+8W9rtN2ExFTRF4Qkf+613XZbiJyWUReEZEXReTZva7PdhORjIj8gYi81v4dfNOGx95NXVXtVCRnge8jmMb7PeBHlVKn9rRi20RE3g5UgM8ppU7sdX22W3sadr9S6nkRSQLPAR+8i/7/CRBXSlXaU9K/Bfy0UurpPa7athGRnwEeg/+nvbsJlaqOwzj+fXyJzFAhIwojDcRFEL6EG8mkJCg1kqASWti+WkUgLQyCQjcFEW2sELRuJmkbsaw0JUHimmmJUZiQVii9QS8o3Z4W539zGOfaDM7t2PH5wHDPnPkP/ObC8DvnP+c8fybZXlp3Pf0k6Rhwi+1G3sMhaT2wx/Y6SZcBV9j+udPYpp1xzAe+sn3U9hlggCqypBFs7wZ+rLuO0XKeOJpGcOXX8nR8eTTmyE3SNGAJsK7uWqI3kiYBC6lulcD2mZGaBjSvcSSepCHa4mgao0zlHKC6wXWH7SZ9vueBJ4C/aq5jtBh4V9JgSalokhuBU8CrZapxnaSJIw1uWuPoOp4kLl7tcTR119NPtodsz6ZKQJgvqRFTjpKWAidtD9ZdyyhaYHsucBdVqvfCugvqo3HAXOAl23OA3ygJ5Z00rXF0HU8SF6cR4mgap0wD7KJaKqAJFgD3lN8BBoDbJW2ot6T+sv1t+XsS2EKzUrqPA8dbzoA3UzWSjprWOD4GZkqaUX7ceZAqsiT+B84TR9MIkq6WNKVsTwAWA0dqLapPbK+yPc32dKrv3Qe2H6q5rL6RNLFcsEGZwrkTaMzVjba/B76RNKvsuoMqraOj2tJxR4PtPyU9ArwDjAVesf15zWX1jaTXgUXAVEnHgdW2X663qr7qGEdje1t9JfXVtcD6cvXfGGCT7cZdttpQ1wBbSor3OOA129vrLanvHgU2loPuo8DDIw1s1OW4EREx+po2VRUREaMsjSMiInqSxhERET1J44iIiJ6kcURERE/SOCIKSUMl+XT4MV3Soosh6VXStuF7QNr2PyXp8RpKiktYo+7jiLhAf5Q4kH+UzKza2b677hoihuWMI6JLkuZL2ltC4PYO32UraZ+km1rG7ZI07zzjV0p6S9J2SV9KWtvy3hVlzYfPJK1p2X9M0tSy/WRZc+Y9YFbLmMckHZZ0UNLAf/AviUtUzjgizprQcsf617aXt71+BFhYEgoWA88A91FlM90PrC5rilxne3A4qrrDeIDZVOm/p4EvJL0ADAFrgHnAT1RJrPfa3jpcgKR5VJEec6i+v/up1i2BKpRuhu3Tnaa1IvoljSPirHOmqtpMpooMmUmVujy+7N8E7ABWUzWQN/9lPMD7tn8BkHQYuAG4Cthl+1TZv5FqjYStLe+7Fdhi+/cypjWL7SBVZMTWtvdE9FWmqiK69zSws6y+uAy4HMD2CeAHSTcDD1CdgYw4vjjdsj1EdRDXaVmATkbKCVoCvEh1xjIoKQeGMSrSOCK6Nxk4UbZXtr02QLWI0WTbh7oY38k+4DZJU0sQ4grgw7Yxu4HlkiaUtNZlAJLGANfb3lnqmAJc2d3HiuhNGkdE99YCz0r6iCp9udVmqt8eNnU5/hy2vwNWATuBT4H9tt9uG7MfeAM4QLVuyZ7y0lhgg6RDwCfAc+db+jPiQiQdNyIiepIzjoiI6EkaR0RE9CSNIyIiepLGERERPUnjiIiInqRxRERET9I4IiKiJ2kcERHRk78BKkWrAcmeuMcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6,5)) # initialise the plots and axes\n",
    "# instantatiate the RFC with 200 ensemble members and randomly use only half the training data\n",
    "# for each ensemble members\n",
    "clf = RandomForestClassifier(n_estimators=200, max_samples=.5).fit(X_train, y_train)\n",
    "plt_decision_boundaries(clf,xx,yy) # contour plot of the decision boundaries for this classifier\n",
    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "plt.scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "Y_pred = clf.predict(X_test) # calculate the predicted values\n",
    "accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "# add the depth and accuracy to the title\n",
    "plt.title('accuracy = {0}'.format(accuracy)) \n",
    "plt.xlabel('Flavanoids') # x axis label\n",
    "plt.ylabel('Proline'); # y axis label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Importance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One important property of RFC is that they allow the user to easily measure the relative importance of each of the data features, by accessing the `feature_importance_` variable of the model. This is the relative weight of the feature in reducing impurity in tree nodes. The weights for all features sum to one. For example, this could be used in feature selection to reduce the number of features which are input to the model.\n",
    "\n",
    "To understand this we consider the full set of features for the wine classification data. The accuracy of RFC for the training data is 97.2%. We see the most important features are `Colour`, `ProteinConcentration`, `Flavanoids` and `Proline`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.944\n",
      "Alcohol 0.116\n",
      "MalicAcid 0.029\n",
      "Ash 0.011\n",
      "Alcalinity 0.026\n",
      "Mg 0.017\n",
      "Phenols 0.057\n",
      "Flavanoids 0.161\n",
      "Nonflavanoids 0.014\n",
      "Proanthocyanins 0.015\n",
      "Colour 0.205\n",
      "Hue 0.07\n",
      "ProteinConcentration 0.15\n",
      "Proline 0.129\n"
     ]
    }
   ],
   "source": [
    "# use the full wine data set\n",
    "X = df.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = df['Class'] # create a target dataframe\n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=.8, random_state=0)\n",
    "# instantatiate the RFC with 100 ensemble members\n",
    "clf = RandomForestClassifier(n_estimators=100).fit(X_train, y_train)\n",
    "Y_pred = clf.predict(X_test)  # calculate the predicted values\n",
    "# print the accuracy of the RFC\n",
    "print('Accuracy {0}'.format(np.round(accuracy_score(y_test, Y_pred),3)))\n",
    "# loop over all the names and feature importance and print both\n",
    "for name, score in zip(X.columns, clf.feature_importances_):\n",
    "    print(name,np.round(score,3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recall from the previous notebook that there is a significant correlation between the features `ProteinConcentration` and `Flavanoids`. Therefore we can set up a RFC with the three features `Colour`, `Flavanoids` and `Proline`. The resultant model has equivalent accuracy as the full model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.944\n"
     ]
    }
   ],
   "source": [
    "rdf = df[['Class','Flavanoids','Proline','Colour']] # create a smaller dataframe with only these columns\n",
    "X = rdf.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = rdf['Class'] # create a target dataframe\n",
    "X = df.drop('Class', axis = 1) # drop the target variable for the features\n",
    "y = df['Class'] # create a target dataframe\n",
    "# split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=.8, random_state=0)\n",
    "# instantatiate the RFC with 100 ensemble members\n",
    "clf = RandomForestClassifier(n_estimators=100).fit(X_train, y_train)\n",
    "\n",
    "Y_pred = clf.predict(X_test) # calculate the predicted values\n",
    "# print the accuracy of the RFC\n",
    "print('Accuracy {0}'.format(np.round(accuracy_score(y_test, Y_pred),3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the exercises we are again go to use the seed dataset from the last activity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "seeds = pd.read_csv('seeds_dataset.txt', header=None, \n",
    "                   names=['area','perimeter','compactness','length','width','asymmetry',\n",
    "                         'groovelength','seedtype'])\n",
    "classes = ['Kama', 'Rosa', 'Canadian']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a testing and training set with all the features, and then iterate over the values of the number of estimators in the list (50,100,150,200) to find the maximum accuracy for a RFC for this data. For values with the same maximum accurary, choose the smallest value. For repeatability you should set `random_state` to a constant in the splitting of the data and the initialization of the RFC. You should get a maximum accuracy of approximately 96%. (3 marks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = seeds.drop('seedtype', axis=1)\n",
    "Y = seeds['seedtype']\n",
    "\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For 10 estimators accuracy 0.925\n",
      "For 50 estimators accuracy 0.943\n",
      "For 100 estimators accuracy 0.962\n",
      "For 150 estimators accuracy 0.962\n",
      "For 200 estimators accuracy 0.962\n"
     ]
    }
   ],
   "source": [
    "for nest in [10, 50, 100, 150, 200]:\n",
    "    df_dtc = RandomForestClassifier(n_estimators=nest, random_state=0) \n",
    "    df_dtc = df_dtc.fit(X_train, Y_train) # train the model using the training set\n",
    "    Y_pred = df_dtc.predict(X_test) # calculate the predicted values\n",
    "    print('For {0} estimators accuracy {1}'.format(nest,np.round(accuracy_score(Y_test, Y_pred),3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the optimal value of the number of estimators from Exercise 1, calculate the feature importance for each of the dataset features. (2 marks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.962\n",
      "area 0.174\n",
      "perimeter 0.232\n",
      "compactness 0.038\n",
      "length 0.132\n",
      "width 0.133\n",
      "asymmetry 0.078\n",
      "groovelength 0.214\n"
     ]
    }
   ],
   "source": [
    "df_dtc = RandomForestClassifier(n_estimators=100, random_state=0) \n",
    "df_dtc = df_dtc.fit(X_train, Y_train) # train the model using the training set\n",
    "Y_pred = df_dtc.predict(X_test) # calculate the predicted values\n",
    "print('Accuracy {0}'.format(np.round(accuracy_score(Y_test, Y_pred),3)))\n",
    "for name, score in zip(X.columns, df_dtc.feature_importances_):\n",
    "    print(name,np.round(score,3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Choose the two features with the highest feature importance, and create a RFC based on these two features. Calculate the accuracy for this model, which again should be approximately 96%. (2 marks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 0.962\n"
     ]
    }
   ],
   "source": [
    "X = X[['perimeter','groovelength']]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, random_state=0)\n",
    "\n",
    "df_dtc = RandomForestClassifier(n_estimators=50, random_state=0) \n",
    "df_dtc = df_dtc.fit(X_train, Y_train) # train the model using the training set\n",
    "Y_pred = df_dtc.predict(X_test) # calculate the predicted values\n",
    "\n",
    "print('Accuracy {0}'.format(np.round(accuracy_score(Y_test, Y_pred),3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the decision boundaries for this model and overlay a scatter plot of the data points, coloured by their classification. (3 marks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NRnMoeIaxZfK57bk49vpQhI8yCTP9vQ1M89EIy9EoIcdhsiuNLyBTrVEMh1iKxegtr1/IZElJutEgPTPLmbl5GrZNyHEohkOcH+ynZ02n1FWrsRBX8wg95c2plVd6sgjfx5BytSOINlsUwmGiLYdiJIztekx0pcmWK6tvKql6g6VYlJlUgiMbbBXW3vsd1250/By00Gs0mkMhUW9gSh/HMFYdGH0gWW8CcjVfXgK5WJThXKHjiksrNGybuUSccihE0PUAyVwyQbTR3LVOrO372O3MloZtI7boY8Q2ZQgl0Gpf31gz2rd8n3oggGh/Py+grrsxHGV7HuX2vMVBoIVeo9EcCgHP46nxSb53ZBTTlxjSp2VaPDk5TaTV4vxAHwjwMegrlnhsZnZP16/ZNj/o7+f7I8Mk6nVSjQbZcoVwq8V0OrXJFngnoq3WlqtipQGRLWwPBNBXKHIzk8YxDGR7WzUQIFmrY3qSVL2xOonqs35yt2lZpA7QqE0LvUajOTSGiiWSFy4zm0zgmAa95QqZShWBmuyshIIEXK8jg6+1uELwrWNHWIpHSVdreKagEA5Rt2y6ajUS9YYq7dchqVqdgUKB6XSKVLWGAAqRML3FMl3bCPKZ2XmWYlEirRbz8ThSGJi+x2CryDPjE1i+j+X7HF9c5HJvj+oAfJ9SOEyi3qC/Q3+cTtBCr9FoDpV4s0l8CzveoOcR3OeodikeoxwK0lWrka1UkEAhGqEWDHBiYYFEo0loD2EgATwzPklXpcrNbLeyG56Z5chSbts0y3izyfsuXWEylWKq/QYxWCgwki+uWwdwZmaORL3BtZ4sjYDNsYVFji8tdVRQpFO00Gs0mgeOum1hSEm80STkuCAkXUvLFMNhom2L4cwe3S4tKTmxtMyJpeXdD24TdlxOLi5xcnF7T0cDGMkXGMkX9tSevaCFXqPR3Dc0TZMb3RkmutLYvs/Y0hKjy/lNo+p4o4lvCKQQHF1c4mZ3F4VwmEpQhYLefu3GgVgn3C9ooddoNPcFrhB85+gY+UiEZL2OLwTfHx2hGA5zenaeuUScSjhIqlonXa1Rt2z+/NRxwi1HecPU67zlxjjvvHr9oauhqoVeo9HcFyzFY6sOkyv0FEtc7OvhZlcXGALbdWn12hRCISKtFmem51hOxHAMA0tKzk7PPHQiD1roNRrNfUIhHMbyPArhMLlYBNOXZCpVZhMJ+krl1Ri302zxg4E+Ts4vMlIqMtguxJ2PhJlKp0nX95am+SCghV6j0dwXRJtNbnRnaNkWtuMhDcFUMsFiPM6js/Orx7mmSdhxWY7F1k1wBlyPajBwCC0/fLTQazSaO0rTNJlLxMnHIiRrDQaKxfYq1b1htVeLRlpNIo5awNQKhWjaFqZ/63oB1237s6/Pk68HbI5vkcb5MKCFXqPR3DFqts03TxylFggQdFzGu7q43NvDO65e78hTvhawudrdzUw6ST4cprdYxJSwHItSDgYwJARaDm8MDvDUxBSWlAgpSdfqSKAUCrXtBIIk6o1dPeQ9IZjoSnE9240nDEZyeY4sLd/3GTpa6DUazR3jcm+WpmWtc6jMR8Jc6Ovl2YnJHc9tWBZ/efwYLcskXm8gIxEmu7p4bHoGxzSRQKzZJBAK07BtXh0dZmxpGSkEz98cp7dYYjyToR6wGZ3OMZLL7yrYPxjq53o2S6paw/Y9Lvb1Mp+I88LV61j3oNNvp2ih12g0d4zpVIrEhmIhyVqd6XSSZyYmd/SWn0ynqNsW2fbCpv5SidlUggv9fYQch656naodINFscHZqhql0isenZ+lfU40qu4eVtZVAgJuZDD3F0mpmTrZSYSEeYykeo+8ALQnuNg9jppFGo7lL2J6n7IjX4BkGtufvWkAkF1tfMi/gepyZnacesCiFwxTCYUKeyyPzCxhA2HUJue6qyO+VajCIIeUmUbQ9j+IBOkkeBnpEr9Fo7hgnFhb5/sgQPaUyBsqlMReL8vjUzKZjPSHIRSO4hkmyXidRb7IQi8OaWH6s3uCR2QUMJP3FMiHHudVhSFX7tRMcw1j1ml/xlAk5Dr7YPPZ1TfOuFv++E2ih12g0d4zR5RzVYIBr2Swg8YXg2MISRzf4xZSDQb59bIxaQKU/CglHFpdAsFoyzzUMcrEoT09OsRiPUw0GCDoOvhAUIhG6alXSu4RqJHClp5tLfb34QmBIyam5eU4sLJFsNOgrlphPxumqVBFSUoyEibRa9N7HYRvoUOiFECng88BjqGf1t6SU316zXwC/AfwoUAN+Rkr5/fa+D7b3mcDnpZS/epBfQKPR3LsYwGMzcxxbXKIWCBBuOZtCKxL43tgIPmJ10tYTgqu9WY4tLDCZ7mImmSTaavH49AzHFpZo2ktc6O9jMp0CVIdyenZ+11j0eFeaNwYHyJYrmFLiCsEbgwOEHJeRfIFnxye41NfDje4MvhAMFIqcmZ0/UCfJw6DTEf1vAF+RUv71doHwyIb9HwJOtP97Hvg3wPNCCBP4V8CPAFPA94QQfySlPH8grddoNPcFYcfdttZrORSkFA6ty8zxhWAinWY2kWCoUMD0fYaXcxxfWEK0r/f0xBRPTE4jtoirb8fl3h7S1dpqaT+rnYp5qa+XkXwB2/d5bGaOMzNzyHaFqweBXZ+PECIBvAv4twBSypaUsrDhsJ8AflsqvgOkhBD9wHPAVSnldSllC/i99rEajeY+wzUM6ra1VZnX28IXYlPt2PFMF9WgTaJRp7tSpadc5kpfDzPJxLrjzD2IPKhFU/aGFEvbdalvKAdotK/9oNDJiP4osAj8OyHEE8ArwN+TUq41cx4E1ibFTrW3bbX9+a1uIoT4OPBxgEHT3OoQjUZzh3ANg5lkgoV4jGjLYShfWK3q5AnBxd4ervdk8YQg2mpxdmqa3i0KYrdME9c0CLWcjgU4UW8QdhzqtkXYcXGFYDEWJeB5ZKoqNVMASMk3jx/lLTcn6CuXibT2nl3TVyyxHIuSrDdWt5XCIfqLOy+kWkshHKLcXojVXali3QdhnU6E3gKeBn5RSvmSEOI3gH8E/NM1x2yVKSV32L55o5SfAz4HcDYQeHC6Uo3mHscxDL517Ai5qEpnnLVMLvdmedu1G/RUqlzo7+Vybw/d7bh2w7L41rEjvPfSFVJtwXQNg/N9vdzMZpCo0MrZyWn6yrtPYhrAs+MTfOfoGJVQCE8IKqEQxxcWSdTVCtcb2S6mkilszyPkuryJ5Pnr41t2Njtxem6evzxxjFwkQtB1aNo2hpQ8Mrew67k+8IOhAW50dyPaMhZpObzt2o09lzq823TS6U4BU1LKl9qf/yNK+DceM7zm8xAws8N2jUZzjzCVTq3a/8abTbqqNaLNJq8ND9EwTa5nM6siDxByXQKux41MZvUa5/v7uNbTTbpSVaNcz+Pbx8YohMMdtSFTrfHDFy7xzPgkT05O87brN+lq12YthcPMJxJYvs+RpWW6K1VijRavjA7jCMFcIs5LR0b49pExppMJdhpfJxpN3nvpCscXl4g1WxxfWOK9l650JNRziQTXst10l8tkyxWy5QqegFdHhjr6jofJrkIvpZwDJoUQp9qbfgjYOJn6R8BPC8VbgaKUchb4HnBCCHGkPYn7kfaxGo3mHmE2mSTWWC90YcelFrQphUNINk9KBl2XakilQqqqT110lyurghJc7Qy6Om5H0PUYzhc4trTM26/dQACL8RjjXSnqlkW6Vl9dJRt0XVqmxctjI3zr2FHy4QilUJCXjo7x6sjQjvMIkZbD6bl53n79Jqfn5jsOAU11pYg2W+tEM9FokouGqQXsbc+7F+g06+YXgS+2xfo68LNCiE8ASCk/A3wZlVp5FZVe+bPtfa4Q4heAr6LSK39LSnnuYL+CRqO5HYKuQyEcgjVpjz4qlz3WaBJwPVqmSWDNJGY1GGAklwegGA6xEItRDQZI1hok63UEykWyHtifLXC82eR9Fy8zH49xbqCfRKPByIaSgQ3b4mZ3hoF8ASkElu8TbbUYz3RxZClHV21/hcUfRDoSeinla8CzGzZ/Zs1+Cfydbc79Mqoj0Gg0WyCBmWSCqz1ZWpbJUL7I0aWlfVn57ofR5RzjmS4irRa27yNR7pAjuQIR1+Xs1DQvHR0j3Gq1Pd2DhB2HkVyemUScPzl9imvZDOGWi+V7mFISbbZo2ibvunxt3+0Keh4jhSKJZpM/P3UC3zDa9sNQCgUxPY98NMJro8O4wiDktBhbzmP4PsVw8MCFfjhXYLIrTbTZXO1wSqEQmUptXxPDdxPtdaPRHDKXent46egRWqaJ5flc7s3yzWNHcYy788+zu1rjmfFJKqEQi/EYi/EYg4USj82oSkyDxRLvvnyVTLWGKX1Ozi/wrsvXkMC/f8szzKaSRJstZlMJLvX2cCPTxXI0guFLbmQzTKRTuIaBJ3Zzt9maVL3B0xNTFCMhFmNRFmMxbM8nW6kwnU4RajkkGyo750J/L7Vg4I50kr2lEifmF1mKx1mMxViIxzClz1MTUwd+r4NGWyBoNIdI0zK52NdLd7m8GgfvrlRZjMeYTSbWVUi6k4zm8gwWilSCAQKet2mEmqnWyFQn1m17aXSEUijIYDs10TcNbnalMZAk63WempymFgjwh08+zlB7MdLRxSVOzS/uOSVxNJenr1iiGAljeT6xep2vPHaG7nKFhm0RabUIeh4VISiF1i++OigM4Oz0DGPLyxTDYQKuR6ZSuS/si7XQazSHSDUQRCA3T3Y6LrlY5K4JPYDl+6vpkp0wk0quMxHzDIO+YolaKEi2XEG2bQzKwSDJRgPb9bjc20M9YPPseOejYB+VGXQ9m8E1TYZyeQzfwzcMzszOcz2boRQOQztkNJzL31HLgkSjSaJxb6dTbkQLvUZziARdh1rAphIMEmm1MNqC37RMYvWtxcQH8m2Xx0SjvqW1gJTgITCR7DVi4gmVJb7bSDXqOMSbTarBINFms52JE8ZH0F2pko+EaZkmEaeF7fmYUpItV5hMpzk9u0C41cIzDCx/e8tiH3hpbJRrPVl6S0Usz+diXx+ziQS2o57d2HIe01sCIagEg4wt5/b2hR8CtNBrNIdEJRDge2MjLMbiXOrrIVmrc3J+EUNKbM9bDYmspRaw+c6RMUqhUHvRjuD07CwnF5ZWj1lwA1x3YtR9i4DwOGpX6bd3H6k3TZML/b1MZLqQCPoLRR6dndvWovfI4hK5cIhCJEIxHMb0fcqRMKdnZoi3Wswl4tQCFqfmljDbI2wBCCm51NPNXCpJy7RINOo8Nj1LT6W67vqlUJC/PH6Ul8dGiDZb5KNhTiwskq1UuJnpomrbTKdTBDyPWKNJX6lEotHkiBb6TejJWI3mEPCB7xwdpWHbPDk5xanZBVzD5JXREYKOyzuvXt9ypP7KyHC76lKF7kqVdLXKm4MDLMWiAOQ9mx800wggbbYICJ9zzSRzTnDH9kjg5bFhxjNdpKo1uioVFhIxXjx+BHebSeEjS8scX1qip1xhMF9gMF/gJ7//Go9Pz7EYi2FJSW+xwmChsO57L8bjXO7tIdJska1U8ITBi8ePrltc5QrBt48eoRYIEG80SdXrGL7kYl8vddtiIpMm4Hm89cZNBgpFPMOgHArywtXr93wGzGGgR/QazSGQj0aoBENkK2rScCRfYChfYCEe48hybssYcDUQYDkaXT0HlPFWqOUwmU7RXalyoxUlIlyCQo2gbSFJmA7XnRi9VnPbME4xHGYhnqBnjWVBulZnIR5jPh5jsFjadI4lJc+OT3FyfnHVgjjZUG8OjmHgAy+eOMZyLEqi3sAzDPKRMCDpK5VX4+gRx8ExTa5mu1fryOZiUeoBm1StzkR70VXQc6kHbKZTSVpmuzhJo0misQjAQjxGPRAgcY/bERwGWug1mj2ykvd+Pdu9Ojk4tpzb0wSgKq+3PgZuAAHfp2ltbernC6FWMW3AkBLXUOfUpEVYrH8TsIXPkh2hHAwQb7W2jIc3bGvVv2Utlu+vFgPZjq0mJ1eexQvXrnO9u5vJdIqA5/L0+AQ/GB7a9KxCjkMpfKtc38pbRMRx6KpUycUixOsNkJJ8OIzt+aQ31KIVgGvqIMVWaKHXaPbI+f5eLvb1Em80MH3Jm4MDzKYSvP3qjY5T7VZWj7pCrJ4jUQKX3RCrXiHabBJrtKjZ9mrxDolapXq2XZovZbQo+AFibbH/H38mzQe+naQeC9GyM6RqdZ6emNwkzNFma/V6azsCNeG7c3x/KRphPNNFw7bpLxQZbqdSgrI1OD03z+m5eUCFbq719tK0LILurQ6pFgwysia2nqrVQaqJ4aOLSwS8NPPxGNVQiKfHJ6gGg6txf7g1gZzaIP4ahe7+NJo9ULNtLvf20FMqE205hFyXnnKZ5WiUpXis4+sEXY/Hp6bJxWLkI2FlI5CIM7aco2ubcngG8MzEJC3bYikWJReNsBiPM7qco6+kQitjgRquFHz6J5P8Tz8V5/HBd/NHz8c4VVsmW66sOk9ujLvHm01Gl3PMJxM0LIumabIQj5Mtq7mA7RjvSvONk8dZiMep2TavDw9uef213+HR6Rny0TCVYACnHc4RSI6tKS8YcRwenZllOR6jHA6RqtUYzuX5iVdf56++cZ7HpmdZjMcphEMUwmGW4jHOzGw/cfywI+Q9mOx/NhCQX872HnYzNJpNLMRjfOvo2KZRdz4S5ujiMmfaI9dOKYTDTKcSOKZJf7FEdo0x2HY0LZO5eJyWbZGu1si0XR5X+Ml/3IUxEeID/e9jJhJiaDTIH0x+HYB/8ttqMdbz18fpL62Pu/vARFeaG90ZPNNgdDnH2NL2ISnXMPjKo6eJNRrrjlmIx3hmfHLHNQCLsShXerJUgkF6ymWOLS5v6SCZi0SYTiWRAvqLJborVQSs2jTMJBMICQPFIpld6sU+6AzPTL0ipdxoVQPo0I1GsydCjoMUm6XYNU2i+5gETNXrpOp7CzcEXY/RHUT0S5/O8eFPpxh7povmIgTDwKQS+Vvt3fwdDGAsl2esbVa2G5VgAM8QmzqCcMthIR7bUeizleq2Iaq1dNVqW3rWCNQK4p3eNjS30EKv0eyBRDtfeyEeI1mr07BtagGbsOPSV9q9yMZB0LAsaoEAIWdzoe0V/vAfF/jx/+n3aDljCFHjv/8/lSD6gESQWLMCtmmaVINBgq67p9BHwPPwhdgU13csk+g+UxyblolrmIRbLR1XPkC00Gs0e+SZ8Um+fuwo3zxxFFcYxFpNHp+eU5k03p1znPSBC329XO3NAiCFYHR5mcenZrecBP6j/36BNwYMrvT2UAoFEVJNeh5fWCDZaCCBKz3dXOjvU9cXguF8nicnZ1a9aObjca72ZGhaNv3FEkeWlgm1J1EjLYehfJHpVJJMRYWc6raFLwRDe7RuaJkmbwz2M9mVBiTRpsNTk1N6xH5AaKHXaPZI07KoRkK89dpNbN/H8n2K4TAvj43wzivXtl3Of7tMpVNc7O+lp1TGQAn/ze5uwi2XR+a3LoX32MwcPeUqk+kUUgienJqmp/3mMZtI8MbQANmSqh4lgal0mqDj8vjMHNe6M7w2PEis0cT2PC73ZplOJXnnlWsE2x3aE1PTmL7PZFcKiaon+8I+Suu9OjzIXDJBpnyrw/jWsSO878JlYnqC9bbRQq/R7JHpVBLT9wmvSQ9M1ussxmOUQ8E7Znh1LdtNqlZfDWkYQFelyrWebk7OL2wZ6hBAb7lM7xa1W29kM8TrzVVDNdG+3o3ubk7ML3J+oI/u8i13xmDbVXMmlVy1GQh4Hk9PTvHozCzeHouCr1ANBJhNJeguV1c7ybDjUgsEmUoneWR+cY9X1GxEh8E0mj3StKx1OdyrrFm4dEfua2++r+n7OKaB3IfXe9OyNtkFm1LiG4JSOIS/Jsd/hVDLYSm2OY002LY23o+gOKaJkGx6E7I9Jfaa20cLvUazR/pKZRq2vW4dacs0sXy56+IiUCPYSz1Zvj88xEQ61XGBkaF8gVJkfbHtUihEf6G8yeZ4Jzwh8IHBfIFSKLRuXzkYJFOpEm82kYhNhbYdyyTeONhFSdFmE0PKTc+hEQiQLZcphYJMplPMx+Pb5udrdqaj0I0Q4iZQBjzA3ZirKYT4JPCxNdc8DWSllLndztVo7jey5TJD+QJT7epGnmngGgbP3RjftaBGLhLhxeNHALA8j/FMmlStzgvXbqyryboVxxaXmEskWIzHCDouLcsk4HqcmZ3rqN2lUJA3B/pZSMSwXZ+R5WXiDeVnE2pfz/J9Hp+eIey4jC0vc6M7Q6ZSxZSSStsKYTi/2VXzdrB9n8enZvj+6DChloPlq3KFXZUKuWiEl8dGEVIiBURbDm/bxxzAw05HC6baYv2slHKpg2P/KvD3pZTv2+u5K+gFU5p7nRUXxtlknKDrMVgo7Bqbl8CfnzqOaxjr0g8X4zEenZrhxJqVodvRMk1mE3HysQjxWoPBYmk1C2YnarbNnz9yAsOXxBvKYGw5FmVsaZnucoVcPEq00WKwUFxN2XSF4FJfD9ez3XiGQbpa4+z0zCaPmYNixUpBZfgUCLgeLx0dI9uefAb1xhFyXd59+eodm/S+X7nbC6Y+CvzuHbiuRnPPYLD9JOd2NGyLcihMd2V9mbt4vcFMV6ojoQ94arHUTgumtmI6ncQTBqmGSle0fJ9sqcxEposzs/OMFDaP0i0peXR2nlNzC3iGsZppc6fortboXrO69eWRoU359PFmk8V4lGogoLNx9kCnAS8JfE0I8YoQ4uPbHSSEiAAfBH5/H+d+XAjxshDi5dwdLAOm0RwWlucjkJvj3qa5riTfnaAYChHYMPI3UEVAGra947mWlHdc5PeGHsvvlU6F/gUp5dPAh4C/I4R41zbH/VXgRSnl2hIvHZ0rpfyclPJZKeWzXXrCRfMAYvs+I8s5luOx1YlcVwhqwQBHlvZXFalpmswmEswmEtvaG4Mq7t0IrBd0TwgEEL5HR8bD+SL1QGBdx1gOBknW69q8bI90FLqRUs60fy4IIb4EPAd8Y4tDP8KGsM0eztVoHngenZnDNU2mUikATOnzxOQ0PeXKziduwXw8xnePjK5mopjS55kbkwxuMCsDGCgUudKbZTkaJVGv45oGxUiEx6Zm7rHR+i16ymWOLyxytSe7Wks35Dg8Mz6px/R7ZNfJWCFEFDCklOX2738CfEpK+ZUNxyWBG8CwlLK6l3M3oidjNQ86tYBNy7SItFq7ZttsRdM0+dqjjxBrNFfPb5km5XCIHzl/ccsyhHXb4mq2m+l0ipDjcGxhiaFC8Z4XzWIoRCkcwvY8uivVXTObHlZudzK2F/iSUAsyLOB3pJRfEUJ8AkBK+Zn2cT8JfG1F5Hc6d39fQ6N5cIi0HCLsPy6/HIviGca6TmLFZGw5GmVoi8nVcNva4PGZztIx7xWSjcZqiULN/thV6KWU14Enttj+mQ2fvwB8oZNzNRrN7bPVu7iEfa2S1TzYaK8bjeY+pKtaw2yvJl3xg3cNA0NCpro/x8e5eJxLfT1UgkG6KxUemVvQI+kHhHtS6ANH0gx89q9tuW/mY7+/5fbtGPji1te539jr996OledxUNfTHA4h1+XpmxO8MjaCL8RqzfCnJqeI7MMLfiqZ4KVjY8TrDeKNBsvRKF8/dYz3XLp6x0zaNHePe1Loq36WV8o/t+W+Z76ofu4mVCuCtt117jc6/d47MfDFv7b6PA7ieprDZahYouv8JZZiUUClUO4n7dAHzg8OkK7WVwt2JxsNCuEw17LdPDU5fZDN1hwC96TQL89V+MKvfXPrnZ/cXajWivy217nf+OTP8Uz8swx88a/t+61mReS/8Gvf7Og5au59Io6zY8m+TnBMk7pt073BPybSaq12Ipr7m3uyOPjxTFj++gfGttz31alfAuBnPvkOnol/FrglUlsJ2geGfv0Ot/bOs/Y7A5u+906sHcWvdHofGPr1HZ+j5t7AE4JCJIwEUrX6llWkDgIf+Oqjpwk5zrosnmIoRE+5wrMTk3fkvpqDZaf0yvtO6Ff46tQvbRI+WD+KfxBEfi1bifNu7Nbpbfcct0J3BHePfCTMS0dGaVgWEkHQc3nu5sQdK6033pXm5dER0rUaQdelEghQDwZ4z6Wrey5erjkcHkihh80jXXhwRvE70Yk4bzWK3+l60HkHogX/zuIYBn9y5hQB1yPc9sBpWBa1YID3n79I0D34lawSmEoludjfRzUYoLtS5fTsHJk1JmOae5u77V5511gRry/82uZtDzIfGPr1W9/5k1tPNu/lrWbdc9zmemvRcf07y3IsSsuySNZvpTaGXJdSOMRSLMbgFouhbhcBDBeKDBeK+OiKRA8a97XQr/AwiPtGturktjtmL9fc6Xqr7GFi+MOfTu2pDQ8Sf/iPC/s6z99mwZOAPVVYWnn2e22HFvkHjwdC6B9mDrqT6+R6a0f+243uV0TmV9790wfZvPuKD3/6t4G9C22qXgepJmNXSgR6QiBRC6U6u3cKUM9/v+3QPDhoodfsiy/82jf5mU++g1fKP7cprv/hT6dWBb6S/+hhNO+e4FferX5++NO/vSeRjbQcHp+a5gfDQ5i+1x7Jm5yZmd21hN7GDraS/+i+26F5cNBCr7kt1or8ViLzMFPJf5RY+nf3Nao+tpwjU6sxl4gjhUF/sbRr9st2HezK77/y7v2/ZWjub7TQa/bF2kynmY/9vh7Fb8NakYVbQts5K3YGwfZ/27Pb8984utc8YPzM1La7tNBr9s0z8c+uE3kt8NuzUfA7QUpJq+whJQQTJmIXV8pOnv9+2qG5P/hx/uG2+7TQa26Lh03ka4tFSlNLSM8nPtRNtDe1qwCvpdPn1CzVmH7pMvXlEo1iFcM0GX7hNF0nBjB2KBl40O3Q3E9sL/Q6k0qzJ1YWa62M5h8mli5McvO//IDSxCLlmRwTX3+T+deuc9CLDn3XY/Kb52kWK5Snl2nmKlRmlnnzi3/Bzf/yA7zW5upRGs1OaKHXaDrAqTZYPDdBpCdJKB0jlIoS7U2RuzJLo3CwtgS1pRJOpUF9uYz0JMFklEh3EjsSpDi+SP7a7IHeT/Pgo4Veo+mARqEKEgzz1j8ZYQiEIWjkygd6L9/x8H1JPVfBjq6ZgBUCOxKgOL54oPfTPPh0JPRCiJtCiDeEEK8JIV7eYv97hBDF9v7XhBD/bM2+DwohLgkhrgoh/tFBNl7TGcKURHt8sqd8UmM+dvTe8ze600jfp56vUF8u4+/DK2bbuLgEI3CwU12hVJTVsH87LCSlBCmxQgEMS4/PNHtjL3+h75VSLu2w/y+llH9l7QYhhAn8K+BHgCnge0KIP5JSnt97UzX7QZiS3tOSYBycJgSTkOiXLF6S1HMPh2A0ClWmv32RVqUOAqxAgIG3niTak+r4GuFMnEAsRLNUI5iIAOBUm5hBa0/X6YRAPEz20RFKU0tU5guEkhG8pku0vwvf9Ugf7wfAa7ksXZyicH0OpCR1tI/MI0NYQftA26O5/7nT/9KfA65KKa9LKVvA7wE/cYfvqVlDJKNEvl4UuA1BqyJoVaHrKKzWn3uA8V2PqW+eR0qfaG+KaE8KM2Qx9eIF3Hrn1ZgMy2TohdOYwQDV+QLVBWUsNvyOM3dEWLsfHeHMR95F+mgfEkG0P00gFqLr5CDJkSxSSqa/c5Hc5WmCiTDBVJT8lRmmXryAbNeQ1WhW6HREL4GvCSEk8Fkp5ee2OOZtQojXgRngH0gpzwGDwNqqBVPA81vdQAjxceDjANmIzvo8KCJpNZJfi+8KAlGJHQLnAbcar+fKOPUW0d7k6jYrFKBZrFNZKJAa7en4WsFEhCM//AStch2kJBAPI/ZgMrYXhBAkBjM88bM/TLNYxW042NEQgVgIUBO2lbkCsb7U6jmRniSV+QK1pdKBv2Vo7m86VdQXpJQzQoge4E+EEBellN9Ys//7wKiUsiKE+FHgD4ETKMO9jWw5jGx3Hp8D5Uff6RfQ7IzbgmBi49a2UdZDkKXnu/6Wf4XCAH8faYpCiNXQzd0imIwSTK7f5tabbJW+LwS4tb3XjdU82HQ0HJFSzrR/LgBfQoVk1u4vSSkr7d+/DNhCiG7UCH54zaFDqBG/5i5RXRCYNhjWSt8pCSWhugi+0/lCn7UYRh3M5m4r8u8JQmlV83TtBKz0Jb4nCXRFabgO/hZ58FJKnGoDt7F30ZS+T3W+wMKb4+SuzeLUdzYi2w92JLTNzVmfqaPR0MGIXggRBQwpZbn9+/uBT204pg+Yl1JKIcRzqA5kGSgAJ4QQR4Bp4CPATx3sV9DsRKsqWLgo6ToKgXa2TXUR8jf2LvLCkBw/M0FXVxlCc0R+zORk3GObl7R7AjscpPfJo8y/eg1hGghD0Go6NI8nONdaRCxA0LI5kuwhEQwDKiwy+/IVWhVV+CMx1E3vU0c7isX7ns/Mdy9TmlzEDFj4rs/iD24y8q7HCGfiB/a9Ql0xon1pqnMFQl1RhBDUcxUi3ckDvY/mwaCT0E0v8KX2Mm8L+B0p5VeEEJ8AkFJ+BvjrwM8LIVygDnxEquWCrhDiF4CvAibwW+3YveYuUs8ZTOdVTN73wGvtbySfGJT0xZZxnGNgh/CWJWdTkrAoUTngNh8kXcf7iWTilGdy+J7HYsLHC0jidgghBC3P5WJumrPZEcymz+RfnsMKBYj2JJG+pDy1hO96DL/jzK73qszkKE0sEutPr25zqk1mvneZo+9/6sBi+kIIBt96itzlGQrX55BSkjk1RObU4B2bN9Dcv+wq9FLK68ATW2z/zJrf/yXwL7c5/8vAl2+jjZqDQIrbm3gVkkQ/XJyMshr09qHkQELkuNeX8ITSMULpGE3X4cbCTRKB8KpHTcC0aHouS/Uy4ZkG0vNXwx/CEGqSczZHs1wnGA/veJ/S1NLqhOkKdjRIdbFEq9rc9fy9YNoW2UdHyD46cmDX1DyY6K5f0xFCgDDB99e/DTg+mNw/s7qu7yEQm4zILMOg6To4tcaWC6CEEHhNZ9P2jRiWie+tT2+UUoLvYxj7e5PSaG4XLfSajpC+oFmRvOORP6T66qe51vghMv/g7fyjL9f5jVe+SSz9u4fdxB2RUlJbLFK9tkBzuYyzYZK15bkkghEi2eSmCVjf9cAwCHQwGk+N9eA2WuvEvpGvEu1NYUe3mUDVaO4wOmFd0xGhlE8kBYkBNSnrL/2v/Oebb+fM3/jv+IL3JjMv/AteffHetL+Vvs/sK9co3JjHsAxs0eJGaJGeE0OEExEarkPcDtEViiH6JNGeFJW5AoF4COl6OPUWfU8f72gyNpJN0vfkURZ+cFO5FwgIdcXpf8uJO/9FNZpt0EKv2RXDlmRPqdW19SIE4xIrAseT3+LKv/s2//zKP+A3v2jCC/+CD3/6t+85f/rKXIHC9Tmifco7PgLEalUK15YJPpOgP5kiE45jGgYYMPzCGUqTi5SmljEDFqmjvXtagNR1cpDEcJZmqYYRsNreNTpsozk8tNBrdiUYby8wcpVY1fMC8hBOSQJRwQeGfp1f/Ge/xM985uf4bvyz99zovjy5hB0JrhPbZCSKNe9yNNBFMLp+AZRhm6SO9pE62rfve1rhAFY4sO/zNZqDRAv9g4aQhFPK48b3oLYkaJZvfzS52xU+MPTrfOHXgE/+HM98EbiHxF5YxpbFQTzXpXBjHrfeJJCIkBzp2ZQxo9E8CGihv0+wI5J4vzIoa1WgNCtwqhvkV0gyxySxXnAbahSe6JfkrkvKc/ufd2+WlVuuYUp8T91TmBIpoVG6ddzaylMf/nSKX9n3HQ+W5EiW/LVZfC+86idfmcuzfHGK0sQSdtgmkIiwfHGK0feeJZyOHXKLNZqDRWfd3AcEopL+s5JYr8QOq5/9ZyWB2PpRajAOsR6o58GpC1pVQaMI6TEVZ98vviNYvAx2FEJJSTglCcZg6YpafPXVqV+i/6N/wDPxz/Lc+J/x6ot/l18++8f3xGge1ARp7xNHqS+XqS4Uqc7lWXxzErfWxLBMvKZLZXqZ2lKJ+deuH3ZzNZoDR4/o7wNSIz7hLrBDbbMBAW5dkh6VzJ+7VRAjGJdto7JbI30pBQhJIAqNwv7bUM8ZzHxfEkyoqzdK8OXrv8zPfPId/Gb8s8x87FM8dw8XCs+cGiQx0k2zUKNZqrLw5gTxwQxmQGXSWOGA6ghieTzHxbT1Pw3Ng4Me0d8HJIfBCkOrBk5N4FTBDkNyBNb6zHguGNsUQvI3rWnaOMLffcTvtQS1JUF1SayKfP8n3n9PjuK3wg4HlTWBVMK+Nm4vDAPp+3gtV1sIaB449LDlLmIFJVZY4rvQqmwWE8OUCBO8FqwdlVsR8J212wRuSxKIqHCKaUucOjTyAulLzIBc9bMJRCVODVrt+tWhlE9qBAIxaFUk1SVJOCUIJcFtSgoTagJ3u+nXr079UnsU/xlm/uanVCz+HhvFu00Hp9bEDgewQpszX8ygTSSbpDZXwLQtJfJS4pQbdJ0cWFcXdi2NfIX89TlapTrRvhSpsd4Dy6zxPV+tPtadjOYOoIX+biAkqVGfnkcglATDgtqSx/h3BM2igTBVGCbWAwhVDCR3jdVsmWYBot3gexLpCYSpDMqEBf1PSJBKlovTsHAeMidULB3UROrSFQFSEEr69J6BVh0aBUEg5nPsvVCYkNSWBYYF2VOwbEoq81sLvWl6RKIXIDlJ5MMmb+nyMLl7/udOvYlTbYKU2LEQdviWJa/0fZYuTLF8cRLUY6HrxAA9j4+uE9BYf5pId0I5Pi6V8H0ft9YkdbSP/mePb3nfylyeyb88hxmwMEM2S+cmKFyfZ/R9j69rw15plmosvHGTymwewzLpOjlA5uTg9jVqNZp9oIX+LhDJSPoeVeGXRhnwIZiCI++QXP0zSWpYEuluZ7BIgRmU9JyRzL4GblOQuykQlhrBG0H1RoCAVlkJNgBCkhyBZgVmXhXYYZA+uI01ueMjqhPxmiujffCaEIhDbVngu9AoSVIjUFmQIDeL/cnHbxKJ1MAL4C1J+sKSXmOcMg4+d65WqfR9Ft6cYP6165QmFnFqTcLdCfqfPsrAc6ewI0GK44ssvjFOpDeJYapQzPLFKexwgK6Tg6vXskIBRt79GLPfvYwdDeI1XeKDXQy9/fRqzH7dvaVk/rXrBBLhVVG3w0FqiyUK1+f3bSrm1JuM/8UbAESyCaTns/jGBG6jRf/TW3c4Gs1+0EJ/F0gOSuyIGl2vhESaJVUAJDnsE+lW2TEr+7ymwApIIllJaUpQmhaEk+BEJdJXcfjEABQm1txECpyqJN4H9ZzAqW1uRzC6Ph3SDqvRvb1mQCo9gWFJTHslhLTm+Igkky3htE6DJUBCviWwhEPYXKDqDXKnKNxcYLE98rXDAULpGI1ClaULU/iOz9gPnWX58jShruhq6EUYBuFMnOVL0+uEHiCcjnHk/U/hVBoI08CObD8q9xoOrUqDaM/6Mk+BeIjKbG7fQl+eXMJruavXFZZJtDdJ4fo83Y8M79gmjWYvaKE/YAxbEk5LrJDKd28UBGZAja7Xxb0lSE+FclZTadbguyrLBlR649wbEE6pmLzXUnEJ31UZNYYA31/JdQeERBhKtNfSLIMVUjn2AE4NotmVDqjdflPiOeBtYdRoBtpZPBvwpUFAVKju7VHtidyVGRAgPR+rbS4WjIdxKg3q+Qr1XAW30dpU5k+lTzpIKTfZEAghOjIqM2wTwzTwPX9d/N5ruoSzyR3O3JlGsbbJP0cYan7EbbS00GsODC30t4EwVThF+iojxg5D7xmJYSuhNoagVZJU5iFzHKhLaNv8WkE1wVpdgHi/MgqTayyAzQDtUb5C+oJaTkBOfY5mPRIDKm1SmCoE4zagugzDz6nFUo2SJH9D4NTUdQuTgr7HJCBxmyqMY9rtiVqhRvGBKCxdZsuwjeogJBszdAzh0ZT7F7xO8Jsu0l8RQoUwDeUsKcB3XBLD3ZTGF9dVWGqWasQGM7flNaNi54Msnpsgkk1gmAZe08GptRg8tn+bhHAmTnF8YV1FRjUpK7XIaw4ULfT7JJzx6T6uBBXU6BghkVLQKN4SlVBSUitAcVItXHKaEnwlzqVJKM8ZuE1J5ji4DWVbYIeV+NaWtxenVhWiPar4t3TVSD/SrUb1lXn10w5D36OSmddVamSzpN4MksNqwVOzLLjypxBOQjithH/hPNTzW2d+uA3B3HQGO7AEwgMbskFJU0aoe9mDe7hbEB/upv7GDaTvI5EIBE61QagrtlqwO5iIUJ3NU10oYYVtvIaDYZtkHxu97ftnHhlC+lK9Wfg+ZijA0NtPEbmNEX1iqJvc5WlqiyWCqQi+69HI1+h5fHTLbCGNZr90JPRCiJtAGfAAV0r57Ib9HwP+2/bHCvDzUsrXOzn3fsQOS7In1cTnSngkGPVJjcL8+bY3bZtWDSIZwfi3BMUpdYwQKkOmOGHgtQSVeYHbkMR6JGYQ8jdVUW/pby30wpBEs4L5cxI7rEblvgupMXXtlfCKU4dQQhLJSMqz7bmBsmDh/PrrVhc6/+7XLw5RLo9C13cxgoKLRcGT/jCSO5slknlkkMpsjupcgepMHmEZGKaBFQ7SfXp41et97IeeoDS5RD1XIZSKkhjpvq2smBUM06Dn8VEyjwzit1zMUGDbNMxOMQMWI+9+jNzlGcqTS5hBi6G3nSIxcmc7Tc3Dx15G9O+VUi5ts+8G8G4pZV4I8SHgc8DzHZ573xFOK5+XtTHwVl1gBCRWGNw1JfsMQ01qSl+Qv2mSv7n1NRvF9W8COyFMdV3fMVgpemSFJL6rOoq1eA7Ykc3X2C9SGjQbo1AeoP7HHhfeaeLfhRdDOxzkyA8/SdfJAXJXZnAqDSK9aTInB4j2plaPs0IBuk4M3LF2mLZ1oKtm7XCQ3ieO0PvEkQO7pkazkQP5i5VSfmvNx+8AQwdx3XsVw16ZXL2F9AWtsiSUgMqK0AuVbVMYP9j7+64K2Ri2xHfamToOmBbUNtSFtQIqJJQa84lmwG1CaUZl5uzuSbk7d2KxlFNvIoTYFL4wAxZdxwfoOn7nhHw/+K5HbbFIPV8hEAsR6+vC3KIcoUZzWHT61yiBrwkhJPBZKeXndjj2bwN/vM9z7wsaBUFy0MeOSOwo4KkwSXVRTaCujPhBpUDWcjsLqh2WxPpuOVOW525NoG6JFORvSnoeUTF/v6Vy9GvLqgOygirWH4io/Yl+9RbQqqlOqueMpLqoJn+lB9XFzqyMvzr1S/zmp87d8rV58e8emMj7jsfylWmmX7qE33IJJqIkRrL0PX20o9CL23RUAe9SjVA6Rqwvve+Rt1Nvkrs4TWlyCSNg0XVygPhAF6XpZWrzBexYmNRYD8FEBK/lMvHN8zSWShgBE9/xsSNBRt79mLY81twzdPov4QUp5YwQogf4EyHERSnlNzYeJIR4L0ro37GPcz8OfBwgG7m3R0ONogQDek63c80NMASMfxvyN0zsiMpgceqsWhFshx2R9D2uOga3CZEMxHokc29Cq7L9ufWcwdybksSAitNXF2DudYEdVTn2pgXFKdW25ICgUWqP/H1JIAupZ2DpsppPiPdJcjck5dmtY863bA+UBfGrL/5dfjn/USr5fT7ADbj1Fjf/y+tMv3QZYRqYtkWr3GibtzUZe9/ZHa0BWpUGE19/E6fWxAyY5C7NEEyEGXnXY3u2KPBarrpWtUkoHcV3Paa+fRG31iSUjmFHAlTmCuSvzDDyrkepLhZpLJeI9qVWr9HIV5j/wU2G3/7Ifh+JRnOgdKSoUsqZ9s8FIcSXgOeAdWIthDgLfB74kJRyeS/ntvd/DhXb53gmvH9P3btAKCnAlyxcUOmI0lMLj2JZQWFcKuOxDq+VHFKj75URfMsBKyxJjchNk6YbaZYEi6X1x7hNqOdufc6e8nGbtz4HIsrO2K2rPHyvJdpOmFBduhUKWqH/o3+w3p3yAEfxKyxfmaY8k8MK24SSygu+VanTKjcwTJN6rkKkO7Ht+YvnJvAch2jvrQyY2mKJ5SvT9J7dW+y7PL1Mq9xYvZZhmQgEhRvzjI31YAZtAjFwak1mX7mK9CWhVHTdNYLJKJWZZXzX01YGmnuCXdMGhBBRIUR85Xfg/cCbG44ZAf4A+JtSyst7OfdeJRCTZE/7DL/Fp/dRf9U7BiCUkniuwKkZVBcNajkDt24gTCX8e2ElrXEtbr29kKoDR8ndaNVUTv4Kdlh1LBLwPbVtJUsnsGbS9m56zJfGFzFDNkLc+nO0oyHqyyVA4rU2WW+uIn2f8tQSodT6YiHBVITS+OKe29IoVDCD68c/jXwZK2TjNm9133YkSKvcQEqJ9Nf//ySlVPn+uk6s5h6hk/ywXuCbQojXge8C/7eU8itCiE8IIT7RPuafARngXwshXhNCvLzTuQf8HQ6cQEyFUwIRFepIH5E88ld8Rt7mEc74+M6t/PmNbJyk3Q2nLgmlJLFen0i3jxlUC65WVq9aIVVsZFX0hfpsBbfpBMT6BU3VxfYCrfY1fF91RvXchpWz4pbwg6oW9Yjxr7n4kT+EPX6nvWIELOxwQOXIr0xutH9K2LTaVYlru1FCINq+Nmtx602a5TqV2dyOHcVGAokIvrP+eBGw8F1/3QSr9H2EIcicHKBeqKwT+/pymfSRvttOv9RoDopdQzdSyuvAE1ts/8ya3/8b4L/p9Nx7neSQbKdEqkVOvqc8YqLdSuAL42rEJky5KpZ2uG0HvIXHzLYIiWFC5qiahEWq+HyjBPPnoO9xZScMSvhL05LEoLIxALXydfmqUN44oVvmaL4LxWmVO+82BPNvQnpMeetIDyqL61fdBqKSVrXdBqDpCL71//s2f3azSKU4Rug/CpYHawTvUHp3+ng/s9+7QjgTp75UxgzbNAs1wl0xMqcGVyc1pe+TuzJL7vI0bsMhNtBFz+OjdJ0YYOncBJHeJEIIKrN5ZUKWivL6b/0Jnusz8s4zDDx3atcJ0sRghuULUzTyFYLJKL7nYZoGgXgY0RZu6UtqS2XSx/pJH+unVW6QvzYLQiBdD4SgNL1MeS5HeqyP1PE+XchEc6jov74tCMbVStdYnzIRW/V2j0kwJD2PwtJVSSx76+3cqcHiJbGldcB2hJJgRwTLVyXRHpUbLz1AQqIfQNIoKnGxIz5H3wvLV1ndFohKeh6RzF+Q9D6m2tIoqgyb9BjYIUnuuiopOH9OKJsFKQjGIHNcroajGkVYvnYr3fKNyxmqqSkeGRSEzSaiFuWVz83w5M+VdoyV75f0kV5apbpadQrUlyskR7Mc+eEn1y0eWnhjnOWLU4QzcQLxMPXlEuN/8Qaj73kcp1KnOLGE13RYPD9BMB3Da7kEoiFM6TH+F+doFusc/cBTO9oLWKEAo+9+jMVzE5SnVNbN0NtPY9oWi+fGaboq7pU60kvPY8r+uO/pY3SdGKBVbbD45gT15RJm0EIA82+OU10sMPyOM9prXnNoaKHfgmZVGYpZIdql+VTKYjilRvlmAJJ90Kio9EnfEcovZg8iD8oewWtBq2rQKEkMSxJOKpFODKpMmsq8xKkLTFv52Bs20I7pt6qCUFKSGJSY9q0FV9KDRkEVCS9O3SpCsrLStlmGmdfapQl9ZYW8QrlmslQIMnAqhWUZaqVtwsN3Ye7Vaxz9kaf2/2C3QRgGfU8dJXNSiaUdDm4yG3MbLRbfnCCUjqgJUkMQSkWpLZaozOQYeP4U3WdGWLwwAUJSns4TSkTak6E2XsilUahQuDlP9szObpOBeJjBt55C+idUaKjdmydHe3BqDcyAvSmbJxAPty0MykT7UqvnxHqTVOcL1JZKRHtSB/bMNJq9oIV+C0qTgr7H274zQfCRRLMqfOM2VWiklhfKTTIM5fz+Jt18V42+AZCCSKodevHAayhR731U0qxIzLbIbxwUStQbyGa3SQFSYgU32w2v3G/jJDBAq6UatNEEzAwZ1JfLm084QOxoaNXKYC1Ovcn4n7/B4rkJrLCN33KJDaRJDHVjBiwaBeWbGYiHCafj5DDwfQ/DWnstgR0OUF/q/DtsHIEbtkkwqWbbG65DvlnF932SwQhRO0ir2lAhvY0umYagVa5rodccGlrot6BZVj4ymROQPanEXdVrVaPg0qwSeNeRJAYA6bfdJgWtqoqFCwH1gtiUrriWek6QGpEYprIdDncp8W+WwAxBpEutbPVa4DoQT6uFURTU+UJIBFBbgvQo61M6hSo75TT29t2jYRdhgOd567Y7FY/Ukf07Ne4Ft9GiVWlgBW3sWIiZ71zCqTUwLIPaQhHf9ajMF6jOF7FjYU6usTyI9qiiI8iVCVMD33ExTANhmQSTu/tBSClpFqpIXxJMRDDs9SmSy/UK1wpzeC2X+nKZZrXBYDLDSKp7UwYOgPQkdkQvntIcHlrot6FRNJh+GRYv+qSGJf1PqUSQWgFiPcpYzI6o8I4VVOGRnkd9Ytl2fVcBTlUy9SoUxw22shtw6oLFS8q50g6phU+1PJRmBKlhSTwLjqNE33OUdUG8D5olHymVz33+BlQXDOK9kmBC0qqot4RgTDlm7tTRbEUo6HOkv8z0XIFYl0fLNzAWbOJnA/ScHTuIR7stUkqWLkyyfH4K2a4FGEpHqS2ViPWl8V0P3/HaVaEcnHoT6UnM0C1P92AySv/Tx6gt5ClPLWNFgxiWSWIkizAEqaM7d1atcp2pb1+kWVKz6qZt0f/cCeL9XQC4vseNwgKWA+Xzs/iORyBocqM0iX8zTywSorZQJJSJq84+VyWYihLJHvzchkbTKVrod6FVMVi4AE7dJzUqiWbUKFlKJfjNksqMqefU50AUStPK0teKSAafglZZtr1lNlPPGUy/LAnEVE3YRkmlPbotSXlBXbtRgPKMoFmTxHvVm4WyXLhlXTB/DuIDkmi3si1eunIrtXKvnBgtMfrk89TOj7MoJK2nyjz3iUEc785a55anl1UpwPaoXEpJ4fo8jWKVYCJKIB4iEAtRz1XwHI9oMkrm5CC1xRKpsd7V66RP9PNY5j3MvX6D0sQSVsBSGTpnxwjuUGhE+j5T37qwruqT13SYfvECRz/4DIFYiKrTxJM+zek8SEmwvVgqiEWt5NKVSBEbSFO4Po+UkuRoluxjo3rhlOZQ0ULfIYVJQXJEYobalZxscKpQy6mFRsKQ2IF2eCes0iHdGgQTqpTg2tWqG5G+8opfuuzTfVLl1vuOmnytL0P+psD3RPstQWX3+O56EfdagsJNQeHm7X9XIWDszBjPPJ9k5k8n+b3nUwQTFs4BWR5sR/7aHIFE+FYpQCGID3aTvzaHd9RVBc5TUUKpGI18ebWEn2HdiqWXp5dY+MG4mtSNBBl972MkBrs7EtpGoUqzVFvnhmm2K0CVZ5ZV0e52/L2eK22YT5CEYhFqC0VG3vkovU8caVf80pk2msNHC32HSE9QnhH4rlyd3EyNAIjV6kySth/86todgfTlupWpO1FdNPBakviAxDCgEYR6Xk3OClM5Yxan2CTy9wLNYpXqQhEMQaw3vS9DL6/pbBJGM2gSH8rgVOoIQ1BbKmFYBuHupFo9myuTHOkBoDybY/LFC4SSUaI9SdxGi+lvX8Z4wSAxvPsiAL+dA78RYRmri66idpCgZVGwDSzXQwQMvPaKsogjVrNxhGEcgDeoRnMwPNRCb5iScEYJqNOA2qJYl2q4kWZFMvg0mMF2xowAYakJUd9rlwe0odp23jdsVbu1PNt5m9b60ttRSXpUTe76LuRusFpA5CAJpXySQ6r99SLkJwyWZpa5JFvUnCDssrB0+dI0Cz+4AcJAIJkHBp47sSrAnZIczrLw5s119sStcp3uR4boeXyM5YtTzL12HcM2saNh8tdmSYz24jmuWkx1cYpAPLwqtlYoQLgLFs9PdiT0oVQMYRh4jru6wElKidfyiLVH+YYwOJnup5RdZuaNG2oi3rQYDibxvBq9z53c03fWaO4GD63QG7ak94yyGV5xjUwOSubPbe0aaYV8hp5VmTEYatRuGCorpl5UK2Z9T2XlRDLg1CTCVAucKgv7e313qqoalKonCwfhH7+RSLdP9pQKOblNCCbBHA4yfuEc0m6x1EpivxLEeZu35fnNUo2FH9wg3J1YHY17jsvs964S7UntqSRe8mgvpeklqnMFzJCN13IxbIveJ48SSkUZeuE0g287ReHGAlMvnlc2wY0mE984R3ywS1WV6lrveWOFAlTni6sZODthBiz6nz3GzEuXEaaJYQrcpkv6WB/hNQvFgtKkb87HqAWol+sEGi3qtSnSb3uE1NjeOjeN5m7w0Ap9rFdluTQKSjxdlK9M+ohk/o3Ngpp9RE2Y5m+2M21CKhbvtyc+3bpgwVGe8skhyI9D4aYS+e1KAnbK7Z6/7XWRRAcNiktgCRUuWpwL4NsGI8frpEomvtlC1MIsnKuSPL75GrWlIgixLuRi2hbSl9RzFeIDXR23xwrajL77ccpzOepLJQKxMPGhzHo/eiHIX58j3B0nELs1sVqeWsawTZxKY10KZavSINwd73hVanKkh1AySmlqGd/xiA2kiXQn1uXGl6eX8cotRs4cxXc9vKaLYRs0CjW8prtna2SN5k5zXwq9HVarQUMpNelZnIJGYW+j5mhGWQuvxW2olaaGJdfFwYUpiWRWFh4JNdHaUJ4n0W41znbqykKgnlfbly6rlavC6MzozLAk8T5lhYAPxVlVN3avq223wwyo/O6VVbKOK5jJxTArLtWcenbpeJNKzSYY8QgF86vFU2TCI3+tsaXQ7ySgGxcOdYJhmySHsyS3CbW4tSbNQnWdJTGoxVIIcKtNGoUqdjSIW2vh1FsMvOXEntoQTEbJJre3IW3kylhh9U/HsMzViV4hBK1qQwu95p7jvhN6K3SrUIdTV4Wxex+FxUs+taXOxN4MSPVfCBr5WyNmIVSIZJMwS5XHrnRrffFvBJvi+nZYkj2Ncn2UUFmQ5MfFerfINQhDedYE4qrguDCg+zgEY5LcNZV9o9q1d+E0g5LMMdm2PYZmSfnf3Lgao94yCRgtZFjZLi8VQlTqNhHTY/5cCRaapKQJvsAIbH3vaE8KgcBruavujm69hRmwCHfH99ze3RCG0V70K9d1JNL3CWcSdL/1EZYvTVNfLhHqijP0yBDhzN7aIX0fz/EwbXPLjiyQiODeWCC47hyJlBJbi7zmHuS+E/pYn0SiRsvQtiTwVOGM2rLcdQQc6/XpOS2J9UO8F5plydIlSS0nCCZVDvxGQZW+oDQlCKfbMf2GWsxjhVRWjOfeEv9wyieSgaXL4DkCaI/UsxKvKfB9NTlbXbo1Wg8lIZC4FUaSHtTzqvhIOK1CTKGkmgOoLUFxSlCe62C0L1QHolbtgrIBkHSdgtoFi7DtsXDdZOC0S61gUCtYWEGJbUvKy31E3DzXm1FEzqD7Q1uvKLUjQQbfdpKZ717B93yQEjNoM/TC6W0dG6WUtMrqdSoQD+848nfqTXJXZilPL2GHAqRPDBDr76I6XyDS7kh8z8epNul/tpdQOsbgW0/t/Fy2QeXtz6lCJi0XOxyk5+zoponcxFA3SxcmaRSqBJMRpOdTWyqTOtq7pYWDRnPY3HdCH0qwrmISqHTDQERiWO1VqdtgRyS9pyXhbmXJW3SU9XD/U7B4QY10i5Nbi05hvG0FPKLagICFC2qyteuIWHWCNAPKIsFz2iNBoXLpIxlYvCgRUtB9AoJxdb+VdvkbMlvMgFoF67sQTqnVrlYQvAR0HVFvNvkbOwt9KAF29FYHAirEZMUg3uXjlWF5wsT3oGvEJ9rl41YlN162KUfUit+ytJGRFt2nItS2sYmJD3Zz/MdS1JfLCEMQ7opvsg1YoVmsMv3SZZrFKghBMB5m4PlTm6o0gaoDO/EXqkRgMBnBbThMfvM83WdG8FuOSudEdaY9Z8fW5b/vh8KNBWZfvko4EyeUiuI2Wkx96yKj77HXXdsKBxh971kWfnCTymwOwzLJPjZC5uTgbd1fo7lT3HdC36pBJK1K7q0gTGVAtlEsNxJOS4IpFWv3HUHLQXnTpFQYKHd9+9CP7wkWzpvkb6oRslMHrx2ymSmoUTcSksOSQPyWsAYiSmydmnoz8BxBvaBWuJZmJG5D4NbB2KCLoaRU6Ztme3FWTQlaKAnLi5J4n6A0LXesSWuYbFmkyjIk4YhLLmcTsH3y0xYz1wwmFmIMdteIRVy6HxtjUFwh/ucV/nRIYFg7dypmwCLWn97xGN/xmPzL8yBYFc5Wpc7kX57j6Aef3vQGUJpaolVtrK5SNQMWZsgmf3WW4z/2LE6tid9yCSTCHRUQ3wkpJcvnJwh3xVZDUFYoQCDusXRxalMnEoyHGX7hNL7nb2lkptHcS9x3y/bKswLDUiNaUJOYoYTyddktlCFEe1S8dtQvBV5LpUmq6kw749QEjYJYFfmVazg1gVMX1PMCe02YdrUSlFx7XwGGJN4viXRJWjU1uRuIqSpQQkjC6ba3vGh71K+cBximUKGjXbTNqa+csfZ7qdz+dKiJ4wkqdYtaw6TpmIRsj3BI9ZaBUIBkysRE4ic7r9C0E7WlEq1qE9/zqS2WaFUbBGJh3HqL2mJp0/H1pfKmic0VawS31iScjhHtTd22yANIz8dptFZXwq5ghQK0ittXkzFMQ4u85p7nvhvRO1VVMSk1qgpnuC0VD+/E16VeEHgttYp1ZXWrMCVCQqMMyWFfFR2pCMpz4DZv9YOGqUJDbot2h6JMxIIx9ZbRKKqYeS0naFZV25yGGpEHwrB09VbsPxD1SY2qTsprARLyE5JARBDNqonXwrhK35QSjG4QjpqbMCwIxFVlKhXC2im+LSjOSpKDylYB1DUr82C5LqdGixQrAVxPEA15VOsm87kwAdunWWuyUPbIWk1kav9C5jsebtPBCto0y1UWz91Euj5SCKxQgMRQBjsa3FS+DyCYCFOeXoI1/jTSlwgp95Sf3wmGZRJOx2hVGqsZO1L6eE2H2ED3gd5Lo7nbdCT0QoibQBnwAFdK+eyG/QL4DeBHgRrwM1LK77f3fbC9zwQ+L6X81dttdLMsmH9TWQ+owWpnQtSqCObPwdBz4LVUXNwwVXGR3sdgtB1791qSyjxMfNujMm+QHJEk2qaHngOFaZ/uY6pACBJ8X5Xum3nFwKkJFs5BNCsJZ9TEq++s1GdVlsSZY8qoTHVOqiRhelQw833B8jV1H8MUDD/vkxpWMXqzD4yACk8lBlZCQZLJl1T4ZzsKNwXNoiTWAxiqA6nl1H1tS9KdujXhEYs4RMMeuVKAYCTEUyeC8B+KYKT29P8PqFBI7vIMS+cnVHjDNFi6NMXCG+MIU9kDWOEgzUKVrlMDW8bokyNZli9O0SzXCcRCatJzsUzXif47ksLYc3aMa1/9Pgtv3MRrOniOh2EYZB8bPfB7aTR3k72M6N8rpVzaZt+HgBPt/54H/g3wvBDCBP4V8CPAFPA9IcQfSSnP30abb7GPHPOlyyb1gk/mmCr+3axBekSFQRrFWxWkwinoOwu5mz6xLkG9pO5nWD7H36tG1rUlkFKtXE30g/eYz9T3DHxPZcWU59Q9C+OS1KjKxbfCKoWyMKnEFm51AsGUxJ1XbxFmQPnJVxdVCCYxqCZ1m0UozCpzs0Q/DDzpM/GSscOzUOGkegeGZEJAPOoQjzr0P3eK4fhfMLPPwXzhxgLzr10nkk1gWCal6SVmv3MJI2hjGAaGZeA2WhRuzpE61rta0GMtdjTE6HseZ/71G9QWSxhme9Lz1J2Z9Axn4tjRkKogFbQJJCOEMwkWfjBOfCCjM2o09y0HFbr5CeC3pZQS+I4QIiWE6AfGgKvtIuEIIX6vfezBCP0+qS4YVBfU790nPLpPqNTFlfx5r6UEOZSCrlEoTrMqpIYlsMLtfPv2NukLfEcS6VI2xStFtldwm4Kly6pDCCah5xE259RvmB6IZtVEaz0nsIKSYFw5WkrArQMInIbqPIIxVR7woPjq1C/xm/HPMvOx3+fDn07xK+/+aSr5j+7pGssXJwl1xVYXE1VmC4DACtiEM3GcWgMrFMBttnaMcYfSMUbf8zjeSvGQO1h3tVGoIl2P/meOrdteWyhSnl6mS2fVaO5TOhV6CXxNCCGBz0opP7dh/yAwuebzVHvbVtuf3+oGQoiPAx8HyEYOeOpASOx2/deNhTjMwNYrVwVryvatGS2vuFNuzJJZ2bbTvJz0Ba2yyvtfu/pWGBIMaBZvnWyF1mQRCZS/TrszEGZ7AVU7fV9sncm4JV+d+iV+5pPv2PGYtSL/y2f/mMoe7Yl9X+W1R3oSazdiBm18x8UKBVSMXUqqc3lCqdj2F2uzXU7+QeK73padjrAM3NbBTEhrNIdBp/96XpBSzggheoA/EUJclFJ+Y83+reRN7rB980bVeXwO4HgmvHv6S4eEMz6ZI+2i2rRXqd4EO6wWQFkRldViBtqxdF+tTBWG8ppvlpQB2koH4TWVwCoRXvmKEjOoHDCtsEr1VOmQa78f5EsBFnJhbiz5nH6+QSLhELR9pITcNdbF2ut5ZdPgNtSkq1uHYHQlNVTd2wyot4dIl084rUb/KwujtmJF5Ps/8f4dn9lzn07xKy/+XX55D6N4KSXFmwssXZjEqTapLZfwPW/V6yban8YK2Uhf4lQbIMFttjCDARJD3Ti1Jnbk9rNnNuLWW9SWVUZPpDux4yRuMBkFw8B3vdU3kY3ulRrN/UhHQi+lnGn/XBBCfAl4Dlgr9FPA8JrPQ8AMENhm+10hEJP0nFIxcb+dhx7rlaSGlU1BuO23ZUeU0FvBdiqjUGX7Zl5V3jC9Z8BzJJ6r3Cnz1yGcbNd49VQBbjMAtWXIHFNWCqVZSf7mrdWrS/kQM0sRIiEXrwKv/1mEcNrnyEAFv+GvT9cEasuCZt+t7J3KHKvtDSXV24OUqmOKZNS5iQFJcUot7lrLisCrkfqnVsMx2/HL+Y/ueRSfvzLL3PevEeqKEulJIH3J4ps3kb5UuemWRWI0i1tvIoSJU6vjVBukjvVRmlmmOp+n9+njpI/27n6zDilNLjLzvStIT40bhGkw+PwJ4oNbZ9FYQZu+p44y+/IVDMtEmAZuvUXqaN+ebRQ0mnuJXYVeCBEFDClluf37+4FPbTjsj4BfaMfgnweKUspZIcQicEIIcQSYBj4C/NSBfoMdiPVIPGdtoQ6BYUiSI2qEXMsBUmDXJd4c2EEozqj0w+KkwGup2M3s66qDsMJKcKuLBmZAkhySBBNqBWqrDs3iaqyHxAA0iqqEoOfDQj5ELOyshoMsfAqzFhP1EP3d9Y1NR3prsne6oFwSzJ9X+fXhLjXSj3RBbUmszhVQVamU1SWJ07aI+OrUL/GbnzrHzMc+tW6kvlch3wnf9Vi6MEGkJ7E6Eo71p5ByFMMysMIB4oPdHHn/U1Rmcyy+Oc7CmxP0PXuC1GgPhqlG0XOvXCGSTexY7q9TnHqTme9eIZiMrC6A8lou09+5zPEfTWybtZM60ksoteJe6RIb6CLak7yjcwMazZ2mkxF9L/ClduzSAn5HSvkVIcQnAKSUnwG+jEqtvIpKr/zZ9j5XCPELwFdR6ZW/JaU8d+DfYhus4ObVsqE0t4JHbYFcKf9XnIHFCwb1/PoRcasqVu0KVvBdwdJllR0z+KykWVy7V+DUVUpjPQeua+D7go1aYVs+jcb2AfaN2Tugrsc1CHdJgjF5S+Tb95W+2v6fL/3ymlH8/uPtneC1XJWKuKFcXzgdxbAtRt/9+JptMSKZBEIY6xwoDctECEF1Ln8gQl9fKuH7clXkQa2slZ6ktlwiMbR9bnwoHSOU3n3eQKO5X9hV6NsZM09ssf0za36XwN/Z5vwvozqCu04tB11H13vjGJYSf3/rOhqrE557YpdcfsvyMQyJ58PaSnmOJ0jGt2nIbrf0trmlAV+f+ltbjuLvFGbQxrStdZWZAFrVJuljO9sirEUecGGVLa/WwepnjeZB475bGbsXakuCWK8klJK4DSXybh1aVZWSqCo3Ceyw2ua3BM3NK/F3xGsJmiWJHZFrJmCV981KoW7TgJ5MndmFCKGgh2lKmi0TQ0BXorndpTdh2MqHP54Fv30PryVxagauJ3hj+Z2c6o3xrtOXeem//gaL3/lFfrn4U3dkFL+uXaZB9rERZr93lWA6ghmwaZXrCCFIH+3bdHyoK4Zhm6srZqFdr1X6t21MtkK4O6EWv63pfLyWizAMIpnELmdrNA8WD7TQ++04d7hbEkmB04SFC4LUEMQHJbGsEnuvpRZLLVwU+/J8X74m6DkjVx0shYDyHNTWhIC6k01sU7KQD9FoWiSiLbJddQJ2B1VJUO3sPSOxQu08fUMgI6rwSS0PrfQHeX74CvP/y00+9YEEP/YLP07s62+l98k9f519kTrah2lbLF+aolmoEetP0316SBUE2YBpWwy+9RRT37pIs1BVb0SGoPepYwQTW9sh7xU7HGTguRPMfPfKaqhOCMHA8yd0YRDNQ8cDLfSgxL46L6jO39q2cFFSnBLYUeV70ywpW4X9luxzG4LZ19rZMJaK+a/45a8gBKTiLVLx1r7uEUqplbz1lVx7DyqLavt/+NpHOH66lzNdVbzcOB956j3US+8kd3WWrlODB2L6tRtCCBIjWRIjuxfhBoj1pTn+o89QWywhpSTcFScQO9iVp8mRHiLdSert9Mpwd+KuPAuN5l7jgRf6LZGCZlmJ+4Fd0u/MZmC/BCLgbQrnC/DBaXi4btuoZ2VP2zrXqTbvWXGzQgESw3fWMMyOBLEjnXU+Gs2DysMp9IeAFZSI9hzBft4cWrXNq3FBrah13Aius74XWC1tFw22P/u4DQfDNu/4KtNmsUqjWMO0rVWvG41Gc3hoob/DGLak+7gknFKhYt+F5WuSem5vedmNgsCpKWvkZlmt3A3F26ZnXho7aJPPe/gSvKZPdb5A10kVtqnM55n//nValQbCUBOk2cdGt60CtV+k7zP/2g3y12bbWwSBWIjhd5zZMlav0WjuDnoVyB2m+7haVFUvKs96twnZU6p84F6QvmDhgqC6oDKG7BDkJ9REsGGYnHn+EfoHLIp+AKfh0/fUUXrOjtEsVlVVJwOivUnCmRi5qzPMv3HjwL9rZa5A7soMkWySaG+KaG8Sz3GZefnqgd9Lo9F0jh7R30GsoBrJ19f4z/iuwPck0W5JYWJvIRyvpRZu5a5v3heKhHjyqRA90QVe/a+yVPLKabFwcwHDMlbj9MIwiGSTFK7Pkz0zcqAFPIrjC9ixEMK49b1CqSjV+SJOtaFtfjWaQ0KP6O8gwlrJ7NtgcNY2UbsbtCoNzMD68ngrQuwdtCPjvlabaTSaO80DPqJX3jDRrBKg6qIqJ7iXgiWGLQnGAanSMP2NPvI74NZVTH6tJTEoa4Z6bvvz7IgkNaza7jagMKUWf3VaSWst0d4UlZncutRFr6UWEdmRIG6jRX25jDAE4UxinWXAXkmM9lC4MY/XdBCGwLAs6sslAvHwplqsGo3m7vFAC31qTJl8ucoVl2gWSjOS/I3OBDPS7ZM5fstjXnoqB79Z6uxFSPqC5WuS7Cnlcim9tsjn2x3OFlghSd/jyuq4UVL2ytlHYPmKpDK/d6FPDHdTuDZLdaFIIB7Cb7k4dYfBt56kMptj5rtXkP5KoXWDwbc/Qqy3c9uCtQihCoBXZvM0yzVaxRrRvjS9T4xx/SvfZ/idZ7asJKXRaO4sD2zoxo4oB8l6XhXJdusqzz3RD3Z09xCDFZR0n1DWCI2ioFEUOE0lusLsPERRzxnMvi6ozKvVt4sXYfHS9ouzYr0SKVf87AW+ozzmU6PtAiV7xArajLzncXoeG8UK2ESyKcbe+ziR7iTTL10mmIwQ7U0S7U1ix0JMf+viriGdVqVBbamEW7+1+MttOkx/5zLZM8P0PXWEYCJC1yNDhLpixPrSSAHT37mE1OEdjeauc4+O6G9fDOzISqBjg7ujVCtMnerO5wdTqvD42pJ/viMwIiqU0yh03hanJjZ5xG9HKK6Km6xFespe2bBU4ZG9YgVtMo8MkXlkaHVb4eY8yPXujlbQplmoUV8uEevv2nQd3/GYe/UaxfEFZdsrIXN6iO4zw9SXSkhPVZFyai3C6RiBWJhGsUKzVCeSTVCdL9Iq1fSoXqO5y9yTQh+IQLzfpzy7v7g0qNj4dt3FRuvirRCr/3N3aVQg1gOes6YtpsT3O2t3x2zbl8pt51QXL0xSHF8g0pNECIHv+Sy+cZNAItwuwbfmxNV415rtQs/XajSHwT0ZupFS2QvHevevCs2Smgxdm69uh28ZmO1+fvt9YI2trWGpouCtAyzEvZHKnECIlXZLDFsSSkBhfPsVtU6zwQ9efJP/8wtFPvL0MS7+pyUqs/kdwySRbBKEUK6RbbyW6h2dap3p71xk7tVr1POq0rnv+RSuzRHuTqzWVTVMg2AqSv7KrPKYNww8xyWcieM7Lp7rgYBAPIxTbRKIhggmtl84JX1fzRu8dJnZl69QXSjs/QFqNJpN3JNCv5Lhkhxqf9jPJdoLjNw6hJLKWdJrwcL5zszLnLogfwOCyVvn2xFYvLy3zJu94jYEc2+oIuKhBBgCFi+x7URsqWJz5okI9Sv/mYn/6yqiajL5zSJXv/IKucvbV20MxEL0PXWUeq5Cdb5Adb5AI1dBmCZzr96gtlymNLHIzT99jeLEAvgS3/PW5ciDEnu32cIKBxh4ywma+Spuw8EKBajM5gilYzQLdTzHZeD5k9tWapJSMvv9a0x84xzVxQLlmRzjf/4GSxcmtzxeo9F0zj0ZugElpoGARBiqLup+cBuC+XMCM6hKWqgCJJ2LdHnOoF6QBOMqXt8oCbzWnY/nODXB4qXd7/OVyb/PM29NMVj7Y/5Ffpp3/u2neL7+GE6tgddosfjmOMmxnlXP942kj/UT7U1TWyyCIfBbLnPfv0as/1bWjee4zH3/OvEfyxDtSdEsVtbF2JvFGpnTqixwYiRLOBOnuliE505gWiau42JaFpGe5LbtAGjkKhSuzRHtS62+MfjxMIvnJkiOZPViK43mNrhnhd4KSlrV/RmAbWRj4e294DYEbuMQgvU7sFLs+zcin+F3/9o3+T9+JMbbxh6jVX8MUK6QTq0JUuJUGjsKbCAWWs2xn335CnZk/Uou07bwXY9muUbvE2OMf/1NqoslrICJ23AIJiKkj90qLmJHQ6T2Icq15dJqOcEVDFNN+DaKNS30Gs1t0LHQCyFM4GVgWkr5Vzbs+yTwsTXXPA1kpZQ5IcRNoAx4gCulfHbXexlghWD+zXtLYO8UKhVUZfM0K1CeEZv87FdYEfln4p/luZv/hb/x//5R3nn9NNW5AsF24SS36WBHgkjJnhYqWeEgnrPF65OUGLZFMB7m6I88RWlqiValTigdIz6YWXXDdJsOQoh9Lboyg/a2cwrmAZuvaTQPG3v5F/n3gAvApjpsUspfA34NQAjxV4G/L6Vcu/bzvVLKpU5v5Hsw+wOBs43YPUgEomqBlOeqtMpQEqLdkvk31/vlrwi8KvbdrgX7np9m5vUfJj/+Jr7nqbx2A9xGi3AmQWK4e0/FPBIjWZYuTOI2WlihAFJKGstlon3p1YLdVjhA14mBdee1ynXmXr1GdaGIAOKDGXqePLInH/xYXxrDtmhVGwTao/dGoUowESaciXd8HY1Gs5mOJmOFEEPAjwGf7+DwjwK/ezuNcpsPh8gDJIclnqPi8r4ncGrK4TI1svskdCX/URIjWUbf8xiZR4Zx6k2capPEYIaes6P0PXNsT20JxsMMv+MMXsujulCktlgi0ptm4C0ntj3Hc1wmvnGORqFKJJsg3J2gPJtn6lsXkX7nkytW0GbkXY8ihKC6UKQ6XyAQDzP0wpltJ3A1Gk1ndDqi/z+AfwjsOLQSQkSADwK/sGazBL4mVJ7iZ6WUn9vm3I8DHwfIRvb26r8y2v3Cr32TDwz9+p7OPWxCSRWuWYvbUNvVo9u9w0sMZ0kMZ5G+j9dyMUxz317zsb40xz70DE6ljmGZu8bGawtFnFqTaG9SbRAQ6Y5TnS9Qz1WIdHdeiDucjnH0A0+vFhbXHvYazcGw61BJCPFXgAUp5SsdXO+vAi9uCNu8IKV8GvgQ8HeEEO/a6kQp5eeklM9KKZ9NhDoT+q9O/RL9H/0DfvNT5+j6uQ/yT3/hdf7v63/nvlqU49Q2O1katloDsNcVW8IwsEKB2y4oYpgGwWS0owlQp9bclHKpGiPwms7m7bsghCCYiGiR12gOkE7eiV8Afrw9qfp7wPuEEP/fbY79CBvCNlLKmfbPBeBLwHP7bu0aVgS+/xPv560v/iX//hf+H/zJx7/Nj77tNRaH/ge+fPMXD+I2d5zCpFoJbNgrxmKSUExtvx8IpaL43voQjfQlSKnFWqO5R9hV6KWU/52UckhKOYYS8v8ipfx/bjxOCJEE3g38pzXbokKI+MrvwPuBN2+nwSuj+Gfin+W58T/jxf/083yg/ElE8L3k/vcP8KucI/b5X+Uj73+Nvo/8/u3c6q7QKBgsXlT1YENJiWnDwiWoLa//v2Yl02bmY7/Phz+d4lfe/dOH1OL1hDNxEoMZqnN5nFqTVrVBdb5A+lg/wUTksJun0Wi4jTx6IcQnAKSUn2lv+knga1LKtXZhvcCX2rnRFvA7Usqv7HZtu+sY/R/9v7bcty7r5N0/zbU/fytmcA7DMmlU3sWHx97F/P/2Df7FN77Bl5/+DOKjf7Dfr3hXkUhc4SKlSfKkQXLD/pWO7Vde/Lv8cv6jVPKH0sxNCMNg4PmTlCbSFMcXwDDIPjZKYjBz2E3TaDRtxL1oG3s2EJBfzvZuuW9lNFvJfxSAuVeuUppeJpRa74joVf6ULyX/lC/9L8t3vL13g43fW6PRaNbyU08Pv7LdOqV7UuhPnB2Sv/5Hf2/b/WvFrjKXZ+IbbxLtvbV03q238B2Pox96hkT3v7/j7b0baIHXaDQ7sZPQ35MWCJ7b1bGwRXuSpI72Ubw+h7BMpC8xTIPhd5zBMA0tkPcwzXKdymwO6flEe1OEu/TCKI3mTnBPCv1eEIZB/zPHSY31Ul8sYQRNYv1de1qVqbn7FCcWmPnuFUAgDFh4Y5zsmWGyj40edtM0mgeO+17oQeVeR7oTe1qcozk83KbD7MvXCKWjqz450vdZPD9JbDBDOB075BZqNA8Wem255q7TyFWQvr8q8qDezAxTKMtkjUZzoGihbyOlxG06mxb/3Mt4jovnHGR9wbuDMMWW9WSkBMPSf5IazUHzQIRubpfaYpG5V6/TKtUQpknXqQEyp4aUH/pt0ihUWb40TX25RKgrTubkwG1POjrVBnOv36Q6u4yUkBjqpueJsftmXiLcFccOB9Y5VXpti+NYb3qXszUazV556IdPzWKV8a+/ifR8Ij1Jgskwi29OsHhu4ravXc9XuPmnr1Gdz2MGLOqLBW7+2eu3FZ7wXY/Jb56ntlAgnFHzEuWZHFMvXtiTW+RhYlgmQy+cBk9SnVdOla1Kg8G3P6ILjGg0d4CHfkSfvz6HYRnYUTUaNiyTSDZB/uos3Y8M7auIxgpL5ycxgzbBpLICMAMWwqyz8OY4Y+89u69r1hZLNEv1W26RrLhFFqkvl1XR7/uAUDrG0Q89QyOv4vWhdGxdzF6j0RwcD/2/rGa5jhVcbx9pmAZSSrymc1tCX1soEkyt93sJxMJU54tIKdeVzesUp9EEsdUiN4nbaO2zpYeDYRo6U0qjuQs89KGbaDaJU22s2+a1XEzbxIrcXsw7mIxsEl+30SIQD+1L5AGC8cimiUwpJVKqTkSj0Wg28tALfWqsFyscpLZYwm06NMt16rkKPWeP3PZkbOb0EK1SfVXs3aZDI18le2Zk39cMZ+LEB5RbpFtv4dSbVOcKpI70EtL55xqNZgseeqG3wgFG3/c46RMD4EtCqSij73mM1FjPbV873t/F0Aun8T2f2kIRv+Ux8PwpEiPZfV9TCMHA8yfpfeY4wjQwLIuB507S9/TeygZqNJqHh4c+Rg9gh4P0nh2Ds2MHfu3EUDfxwQy+62FY5r5DNmsxLJOuY/10Hes/gBZqNJoHHS30dwEhhM4o0Wg0h4ZWn/sI6ftUF4pUZnIIyyAx1K0dHzUaza5oob9PkFIy9+p18ldnscIBpO+TuzhN79PH6DquQzgajWZ7tNDfJ9SXy+SvzhLtu1VgxXc9Fl6/TmIogxUK7HIFjUbzsPLQZ93cL9QXSxj2+slcwzKRUvnpaDQazXbck6UEhRCLwPhht2MHuoGlw27EPYh+LpvRz2Qz+pls5iCeyaiUcsvc7XtS6O91hBAvb1eb8WFGP5fN6GeyGf1MNnOnn4kO3Wg0Gs0DjhZ6jUajecDRQr8/PnfYDbhH0c9lM/qZbEY/k83c0WeiY/QajUbzgKNH9BqNRvOAo4Veo9FoHnC00O+CEOK3hBALQog312z7H4UQPxBCvCaE+JoQYuAw23i32eqZrNn3D4QQUgjRfRhtOyy2+Tv5H4QQ0+2/k9eEED96mG08DLb7WxFC/KIQ4pIQ4pwQ4n89rPYdBtv8rfz7NX8nN4UQrx3kPbXQ784XgA9u2PZrUsqzUsongf8M/LO73ahD5gtsfiYIIYaBHwFuv7L6/ccX2OKZAP9cSvlk+78v3+U23Qt8gQ3PRQjxXuAngLNSykeB/+0Q2nWYfIENz0RK+TdW/k6A3wf+4CBvqIV+F6SU3wByG7aV1nyMsqm434PNVs+kzT8H/iEP2fOAHZ/JQ802z+XngV+VUjbbxyzc9YYdIjv9rQjlcfJfA797kPfUQr9PhBD/sxBiEvgYD9+IfhNCiB8HpqWUrx92W+4xfqEd5vstIUT6sBtzj3ASeKcQ4iUhxNeFEG857AbdQ7wTmJdSXjnIi2qh3ydSyn8ipRwGvgj8wmG35zARQkSAf4Lu8Dbyb4BjwJPALPC/H2pr7h0sIA28Ffgk8B/EQZReezD4KAc8mgct9AfB7wB/7bAbccgcA44ArwshbgJDwPeFEH2H2qpDRko5L6X0pJQ+8P8BnjvsNt0jTAF/IBXfBXyUqddDjRDCAv4r4N8f9LW10O8DIcSJNR9/HLh4WG25F5BSviGl7JFSjkkpx1D/kJ+WUs4dctMOFSHE2oowPwlsylJ6SPlD4H0AQoiTQADtZgnww8BFKeXUQV9YFx7ZBSHE7wLvAbqFEFPArwA/KoQ4hRqJjAOfOLwW3n22eiZSyn97uK06XLb5O3mPEOJJ1OT0TeDnDqt9h8U2z+W3gN9qpxe2gP+XfIiW6O/w7+cj3IGwDWgLBI1Go3ng0aEbjUajecDRQq/RaDQPOFroNRqN5gFHC71Go9E84Gih12g0mgccLfQajUbzgKOFXqPRaB5w/v8ZTw8mZsUFjgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xx, yy = np.meshgrid(np.linspace(X.perimeter.min(),X.perimeter.max()), \n",
    "                     np.linspace(X.groovelength.min(),X.groovelength.max()))\n",
    "\n",
    "plt_decision_boundaries(df_dtc,xx,yy) # contour plot of the decision boundaries for this classifier\n",
    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "plt.scatter(X['perimeter'], X['groovelength'], c=Y, alpha=0.3);\n"
   ]
  },
  {
   "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",
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