diff --git a/nb_supervised_learning/basic3_nested_cv.ipynb b/nb_supervised_learning/basic3_nested_cv.ipynb
deleted file mode 100644
index f7c9c8e2e5847730e544b1a53823285524a55912..0000000000000000000000000000000000000000
--- a/nb_supervised_learning/basic3_nested_cv.ipynb
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@@ -1,716 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "00cde4c7",
-   "metadata": {},
-   "source": [
-    "# 2) Nested cross-validation \n",
-    "\n",
-    "This notebook shows the use of cross-validation to tune hyperparameters for classifiers\n",
-    "\n",
-    "See also the documentation of scikit-learn library (https://scikit-learn.org/)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "8c9c8432",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import librairies\n",
-    "\n",
-    "import numpy as np\n",
-    "\n",
-    "from sklearn.model_selection import StratifiedShuffleSplit, StratifiedKFold, GridSearchCV\n",
-    "\n",
-    "from sklearn.linear_model import LogisticRegression\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "from sklearn.pipeline import make_pipeline\n",
-    "\n",
-    "import pandas as pd\n",
-    "\n",
-    "%matplotlib inline\n",
-    "import matplotlib as mpl\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sb\n",
-    "\n",
-    "font = {'family' : 'DejaVu Sans',\n",
-    "        'weight' : 'regular',\n",
-    "        'size'   : 18}\n",
-    "mpl.rc('font', **font)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0d12a052",
-   "metadata": {},
-   "source": [
-    "## Generate samples to classify\n",
-    "\n",
-    "We first generate synthetic data with 2 classes to separate (`s0` and `s1` samples, respectively). The input dimensionality corresponds `m` features."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "4673d31d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# create synthetic dataset where 2 classes of s0+s1 samples of m-dimensional inputs with controlled contrast\n",
-    "def gen_inputs(m,        # input dimensionality\n",
-    "               s0,       # number of samples for class 0\n",
-    "               s1,       # number of samples for class 1\n",
-    "               scaling): # scaling factor to separate classes\n",
-    "\n",
-    "    # labels\n",
-    "    lbl = np.zeros([s0+s1], dtype=int)\n",
-    "    # inputs\n",
-    "    X = np.zeros([s0+s1,m])\n",
-    "\n",
-    "    # create s0 and s1 samples for the 2 classes\n",
-    "    for i in range(s0+s1):\n",
-    "        # label\n",
-    "        lbl[i] = int(i<s0)\n",
-    "        # inputs are random noise plus a shift\n",
-    "        for j in range(m):\n",
-    "            # positive/negative shift for 1st/2nd class\n",
-    "            if i<s0:\n",
-    "                a = -scaling\n",
-    "            else:\n",
-    "                a = scaling\n",
-    "            # the shift linearly depends on the feature index j\n",
-    "            X[i,j] = a*j/m + np.random.randn()\n",
-    "            \n",
-    "    return X, lbl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "029ab1fa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# generate inputs and labels\n",
-    "m = 50 # input dimensionality\n",
-    "s0=100 # number of samples for class 0\n",
-    "s1=100 # number of samples for class 1\n",
-    "X, y = gen_inputs(m, s0, s1, scaling=0.2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0024c6aa",
-   "metadata": {},
-   "source": [
-    "## Parameterization of classifier\n",
-    "\n",
-    "We then choose a classifier and a cross-validation scheme."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "6f2a4e24",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# (multinomial) logistic regression, involving regularization controlled by the hyperparameter C\n",
-    "clf_MLR = LogisticRegression(C=10000.0, penalty='l2', solver='lbfgs', max_iter=500)\n",
-    "\n",
-    "# repetitions of cross-validation (train-test)\n",
-    "n_rep = 5\n",
-    "# stratified K fold with (same splitting with 80% for training and 20% for testing as StratifiedShuffleSplit before)\n",
-    "cvs = StratifiedKFold(n_splits=n_rep)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0c8bb544",
-   "metadata": {},
-   "source": [
-    "### Role of hyperparameter\n",
-    "\n",
-    "What is the effect of the hyperparameter C that governs the regularization?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "069c8442",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# grid evaluation (log scale)\n",
-    "Cs = np.array([0.01,0.1,1.0,10.0,100.0])\n",
-    "n_C = Cs.size\n",
-    "\n",
-    "acc = pd.DataFrame(columns=['type', 'C', 'score'])\n",
-    "\n",
-    "# repeat classification\n",
-    "for train_ind, test_ind in cvs.split(X, y):\n",
-    "    # loop over hyperparameter\n",
-    "    for C in Cs:\n",
-    "        # set regularization\n",
-    "        clf_MLR.set_params(C=C)\n",
-    "        # train classifier\n",
-    "        clf_MLR.fit(X[train_ind,:], y[train_ind])\n",
-    "        d = {'type': ['train'],\n",
-    "             'C': [C], \n",
-    "             'score': [clf_MLR.score(X[train_ind,:], y[train_ind])]}\n",
-    "        acc = pd.concat((acc, pd.DataFrame(data=d)))\n",
-    "        # test classifier       \n",
-    "        d = {'type': ['test'],\n",
-    "             'C': [C], \n",
-    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
-    "        acc = pd.concat((acc, pd.DataFrame(data=d)))\n",
-    "\n",
-    "\n",
-    "# plot\n",
-    "sb.violinplot(data=acc, x='C', y='score', hue='type', split=True, scale='width', palette=['brown','orange'])\n",
-    "plt.yticks([0,1])\n",
-    "plt.ylabel('accuracy')\n",
-    "plt.xlabel('reg hyperparam C')\n",
-    "plt.legend(loc='lower right')\n",
-    "plt.tight_layout()\n",
-    "plt.title('train-test accuracy')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a21b4c4c",
-   "metadata": {},
-   "source": [
-    "The hyperparameter `C` has opposing effects on the train and test accuracies. This indicates that the unregularized MLR classifier (with large `C`) is overfitting the data here. \n",
-    "\n",
-    "How to select the best value for `C`?"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bdb04e59",
-   "metadata": {},
-   "source": [
-    "## Inner cross-validation loop within the training set\n",
-    "\n",
-    "We can use cross-validation within the training set to test the effec tof `C`. Of course this reduces the amount of data for training within the original training set."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "e614b340",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# nested cross-validation scheme\n",
-    "n_split_nest = 5\n",
-    "cv_nest = StratifiedKFold(n_splits=n_split_nest)\n",
-    "\n",
-    "# indices of splits\n",
-    "ind_split_inner = np.zeros([n_rep*n_split_nest,s0+s1])\n",
-    "ind_split_outer = np.zeros([n_rep,s0+s1])\n",
-    "\n",
-    "# outer loop\n",
-    "i_inner = 0\n",
-    "i_outer = 0\n",
-    "for tr_ind, test_ind in cvs.split(X, y):\n",
-    "    # split data\n",
-    "    X_tr, X_test = X[tr_ind,:], X[test_ind,:]\n",
-    "    y_tr, y_test = y[tr_ind], y[test_ind]\n",
-    "    \n",
-    "    # 2=train+val, 3=test\n",
-    "    ind_split_outer[i_outer, tr_ind] = 2\n",
-    "    ind_split_outer[i_outer, test_ind] = 3\n",
-    "\n",
-    "    # inner loop\n",
-    "    for train_ind, val_ind in cv_nest.split(X_tr, y_tr):\n",
-    "        # 0=train, 1=val, 3=test\n",
-    "        ind_split_inner[i_inner, tr_ind[val_ind]] = 1\n",
-    "        ind_split_inner[i_inner, test_ind] = 3\n",
-    "        # increase counter\n",
-    "        i_inner += 1\n",
-    "        \n",
-    "    # increase counter\n",
-    "    i_outer += 1"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f0173728",
-   "metadata": {},
-   "source": [
-    "Let's first look at the splits in the outer loop."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "11469825",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x1000 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot split indices for each \n",
-    "plt.figure(figsize=[10,10])\n",
-    "plt.imshow(ind_split_outer, vmin=0, vmax=7, cmap='Set2', interpolation='nearest', aspect=40)\n",
-    "plt.xlabel('sample index')\n",
-    "plt.ylabel('split index')\n",
-    "cbar = plt.colorbar(ticks=[2,3], shrink=0.7)\n",
-    "cbar.ax.set_yticklabels(['train+val','test']) \n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a52fffac",
-   "metadata": {},
-   "source": [
-    "For each split, we subdivide the outer \"training\" set, into the inner training and validation sets."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "eb71ec5a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x1000 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot split indices\n",
-    "plt.figure(figsize=[10,10])\n",
-    "plt.imshow(ind_split_inner[:n_split_nest,:], vmax=7, cmap='Set2', interpolation='nearest', aspect=40)\n",
-    "plt.xlabel('sample index')\n",
-    "plt.ylabel('split index')\n",
-    "plt.colorbar(ticks=[0,1,3], shrink=0.7)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8df51f10",
-   "metadata": {},
-   "source": [
-    "Putting everything together, we have the 3 sets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "5c81d8eb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x1000 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot split indices\n",
-    "plt.figure(figsize=[10,10])\n",
-    "plt.imshow(ind_split_inner, vmax=7, cmap='Set2', interpolation='nearest', aspect=8)\n",
-    "plt.xlabel('sample index')\n",
-    "plt.ylabel('split index')\n",
-    "plt.colorbar(ticks=[0,1,3], shrink=0.7)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3200c011",
-   "metadata": {},
-   "source": [
-    "We can do the same with any outer loop, like the `StratifiedShuffleSplit` that we used before."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "f2e30669",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x1000 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# change outer cross-validation scheme\n",
-    "n_rep = 20\n",
-    "cvs = StratifiedShuffleSplit(n_splits=n_rep, test_size=0.2)\n",
-    "\n",
-    "# indices of splits\n",
-    "ind_split = np.zeros([n_rep*n_split_nest,s0+s1])\n",
-    "\n",
-    "# outer loop\n",
-    "i_rep = 0\n",
-    "for train_ind, test_ind in cvs.split(X, y):\n",
-    "    # split data\n",
-    "    X_train, X_test = X[train_ind,:], X[test_ind,:]\n",
-    "    y_train, y_test = y[train_ind], y[test_ind]\n",
-    "    \n",
-    "    # inner loop\n",
-    "    for tr_ind, val_ind in cv_nest.split(X_train, y_train):\n",
-    "        ind_split[i_rep, train_ind[val_ind]] = 1\n",
-    "        ind_split[i_rep, test_ind] = 3\n",
-    "        i_rep += 1\n",
-    "\n",
-    "# plot split indices\n",
-    "plt.figure(figsize=[10,10])\n",
-    "plt.imshow(ind_split, vmax=7, cmap='Set2', interpolation='nearest', aspect=2)\n",
-    "plt.xlabel('sample index')\n",
-    "plt.ylabel('split index')\n",
-    "cbar = plt.colorbar(ticks=[0,1,3], shrink=0.7)\n",
-    "cbar.ax.set_yticklabels(['train','val','test'])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cc9b644c",
-   "metadata": {},
-   "source": [
-    "Now we can use this splitting scheme to test the effect of `C`, selecting the value that gives the best accuracy averaged over the validation sets."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "53b90b92",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# function to train hyperparameter with nested CV\n",
-    "def nested_CV(clf, X, y):\n",
-    "    acc_nest = np.zeros([n_C,n_split_nest])\n",
-    "    j = 0\n",
-    "    for ind0, ind1 in cv_nest.split(X, y):\n",
-    "        # split in train and validation sets\n",
-    "        X0, X1 = X[ind0], X[ind1]\n",
-    "        y0, y1 = y[ind0], y[ind1]\n",
-    "        # train classifier over all reg parameters\n",
-    "        for i, C in enumerate(Cs):\n",
-    "            # set regularization\n",
-    "            clf.set_params(C=C)\n",
-    "            # train classifier on X0\n",
-    "            clf.fit(X0, y0)\n",
-    "            # test classifier on X1\n",
-    "            acc_nest[i,j] = clf.score(X1,y1)\n",
-    "        j += 1\n",
-    "    # get log C parameter\n",
-    "    i_best = np.argmax(acc_nest.mean(1))\n",
-    "    return Cs[i_best]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "5a264a05",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "scalings = [0.1,0.2,0.3,0.4]\n",
-    "\n",
-    "acc = pd.DataFrame(columns=['scaling', 'type', 'log C', 'score'])\n",
-    "\n",
-    "for scaling in scalings:\n",
-    "    # generate inputs\n",
-    "    X, y = gen_inputs(m, s0, s1, scaling=scaling)\n",
-    "    \n",
-    "    # repeat classification\n",
-    "    for train_ind, test_ind in cvs.split(X, y):\n",
-    "        # select best hyperparameter\n",
-    "        best_C = nested_CV(clf_MLR, X[train_ind,:], y[train_ind])\n",
-    "        clf_MLR.set_params(C=best_C)\n",
-    "        # train and test classifier\n",
-    "        clf_MLR.fit(X[train_ind,:], y[train_ind])\n",
-    "        d = {'scaling': [scaling],\n",
-    "             'type': ['train'],\n",
-    "             'log C': [np.log10(best_C)], \n",
-    "             'score': [clf_MLR.score(X[train_ind,:], y[train_ind])]}\n",
-    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
-    "        d = {'scaling': [scaling],\n",
-    "             'type': ['test'],\n",
-    "             'log C': [np.log10(best_C)], \n",
-    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
-    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
-    "        \n",
-    "        # shuffling\n",
-    "        train_ind_rand = np.random.permutation(train_ind)\n",
-    "    \n",
-    "        best_C = nested_CV(clf_MLR, X[train_ind,:], y[train_ind_rand])\n",
-    "        clf_MLR.set_params(C=best_C)\n",
-    "        clf_MLR.fit(X[train_ind,:], y[train_ind_rand])\n",
-    "        d = {'scaling': [scaling],\n",
-    "             'type': ['shuf'],\n",
-    "             'log C': [np.log10(best_C)], \n",
-    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
-    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "020d231f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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/fozJkycDyG7++/DDD01Sk1iYM2fOGBLo999/v8CkCyj8+Var1dBoNACy+wCJpRhXytvb23C/tBcf5K6NLah/Wo7/dmo31qFDhwz3//e//xWYdAGFn0tTnIei5O4vef36dZPtVyaTwd/fH+PHj8eGDRsQGRmJrVu3wtXVFQCwf//+Ys3uQOUDEy8qN3I3yZXmC64wMTExhmlYfH19Cy27f/9+kx7bkkpyDnN3FP/rr7/MFpObmxsWLlxo6OP15MkT3Lt3L08ZUz/3kZGRhvvGPt85F24kJCTg+PHjJY7l5ZdfNtzfsWNHibcHspu9cjx69KjQsqa4Eje34p7LzMxMw9Rd+WnSpImh1uvYsWPFmq6npNq2bWuoddq+fbvJa/9yyGQy9OvXD7NnzzYsy30RBZVvTLyo3MjdTGDq5r7cQx7cv3+/wHJJSUlYtGiRSY9tSSU5h4MGDTI0sy1atAjh4eFmjc3Hx8dw/79zEZr6uS/u8x0QEFBkTUXuIQemT59e4i/z5s2b47nnngMAHD9+vFSJva+vr6HW6/jx4wUmp/Hx8Vi7dm2J91+Y4p7Ln3/+GVFRUQWul8vlGDx4MIDs91lOU7ApVapUyTBcx7179/Drr7+a/Bi5FfaapvKLiReVGznDEwDZX4impNFoULduXQDAhQsXsHXr1mfKJCcnY8CAAYVeRVjWleQcVq9eHePGjQOQfUVXt27dnqmJyk2v1+PQoUOYM2dOnuX79+/HokWL8kxG/l+BgYGGfkKOjo7P1JyY+rlv2bKloeZj+fLl+U5iHBgYiNdff73IZs833ngDTZo0AZBdq/HWW28VOPxIVlbWM4mcIAj48ssvDf8PHjy40JqhwMDAZ8ZzUyqVhvHeQkJC8kw9lCMlJQWDBw8uNPkpjdzTKM2ePdsw9ltuu3btwtSpU4vc1yeffGJIsufNm4fvv/++0CSyNDWMc+bMMfygmDBhQqEXpwDZ53PKlCl48uRJnuWjRo3CtWvXCtwuKysrT2LXtGnTEsdK1omd66nccHFxgb+/Py5duoSjR49i9OjR6Ny5c57aEGOuiJswYYJhsMj+/ftj6NChaNOmDdRqNW7cuIGVK1ciPDwcw4YNM3mtgaW8/PLLUCqV0Gq1WLBgAWQyGZo0aWK44srV1TXPF+n8+fNx+fJlHDt2DNevX0eDBg3wyiuvoF27dvD09IRWq0VkZCSuXLmCAwcO4PHjx+jUqRM+//xzwz5y+nB98skn6NChA1544QXUqlULKpUK0dHROH/+PDZt2mSoyZo0adIzV9PlHkT2448/RnR0NOrWrWvo8F+1alU0bty42OfBy8sLr7/+OrZs2YL4+Hg0bdoU77//Ppo0aQK9Xo/Tp09j7dq1SEtLK/L5lsvl2Lx5s2GuxnXr1uHIkSMYNGgQmjZtanicAQEB2LlzJ+zs7NCrV688++jfvz/Gjx+PJUuWIC4uzjAUQbdu3eDl5YXMzEzcv38fR48exd9//43ffvvtmbkDp0yZgj179gAAJk6ciLNnz6Jbt26wsbHBjRs3sGrVKjx8+BCDBg3Chg0bin2uivLqq6+iWrVqCAsLw7lz59CgQQO88847qFWrFuLj47Fnzx7s3LkTKpUKr732WqHN1jVr1sRvv/2GwYMHQ6/XY9KkSVixYgX69++P2rVrQxAEPHr0CGfOnMHevXvxxhtvoF27diWKt0WLFliyZAlGjx6NzMxMjBgxAt999x369euH2rVrw9bWFvHx8bh9+zZOnjxpGDT3v/OyLl++HMuXL0fDhg3RoUMHNGzYEG5ubkhJSUFQUBD++OMPww+VunXron///iU7sWS9JBgtn8hs9uzZI8rl8jxTmuS+5VbSeQn1en2eOQfzu/Xt21dMTU3NM/9jfkoyZdDKlSsLjaskZYtj2rRpBT6+/B5PRkaGOHbsWMN8i0Xd3nrrrTzbr169uljbCYIgTpw4scApdwYPHlzgtsOHDy/xeYiJiRGbNm1a4D5lMpk4a9asYk/Hc/fu3TxzNhZ0q1mzZoH7mD17tmhjY1PkPlavXp3v9rNmzSr0/M6YMaNEUwYV9Pr+r3Pnzomurq4FHluj0Yi7du0q9nty586doru7e5Hn4e23335m2+JOL7Vt2zbRw8OjWK9NNzc3MSoqKs/2giAUa9smTZpYfJorkhabGqlc6dGjB06dOoUhQ4agZs2aJh2cUBAErF69Ghs2bEDHjh3h7OwMGxsbeHt7o1evXti4cSO2b99u9QMifvXVV/jjjz/QvXt3eHp6Fjm+kI2NDX788Ufcvn0bU6dOxQsvvAAPDw8oFAqoVCrUrFkTPXv2xFdffYWrV68+03QzbNgwXLlyBQsXLjRM0+Lg4AC5XA6NRgM/Pz+MHz8eFy9exKJFiwoc12zt2rX4+eef0b59e7i7uxs9vIWrqytOnz6Nr7/+Gv7+/lCpVFCpVKhVqxZGjBiB06dP44svvij2/urUqYPLly9jw4YN6N+/P6pXrw57e3vY2NjAy8sLXbp0wbx58wrtZD19+nTcvXsX06ZNQ/PmzeHq6gq5XA61Wo3GjRvj3XffxZ49e/L0K8vtiy++wIEDB9C7d294eHgYXr8DBw7EiRMnMHPmzJKepmJp2bIlrly5gg8++AC+vr6wsbGBRqNBo0aN8Mknn+Dq1avP1PIVpnfv3njw4AEWLlyITp06oXLlylAqlbC3t4evry/69++PlStX4ocffih1zK+88gqCg4Px888/o2/fvqhWrZrh+fLw8ECrVq3wwQcfYOfOnQgPD39mIOKIiAj88ccfGDVqFJo1awYXFxfI5XLY29vDx8cHr776KtatW4eAgIA8fb2o/BNE0cSXfxERERFRvljjRURERGQhTLyIiIiILISJFxEREZGFMPEiIiIishAmXkREREQWwsSLiIiIyEIq/Mj1er0e4eHhUKvVhilCiIiIiIpLFEUkJSXBy8urwLEGc1T4xCs8PBzVqlWTOgwiIiKycmFhYfD29i60TIVPvNRqNYDsk+Xk5CRxNERERGRtEhMTUa1aNUNOUZgKn3jlNC86OTkx8SIiIqJSK06XJXauJyIiIrIQJl5EREREFsLEi4iIiMhCmHgRERERWQgTLyIiIiILsZrEKzU1FXv37sWcOXPw2muvoUaNGhAEAYIgYObMmVKHR0RERFQkqxlO4ty5c+jZs6fUYRARERGVmtUkXgDg4uKCZs2aGW6TJ09GRESE1GERERERFYvVJF4vv/wyYmNj8yybOnWqRNEQEREVT1ZWFqZOnYrg4GAAQKtWrfDhhx9yfuAKymoSL7lcLnUIREREJRYcHIzz588b/t+xYweee+459OrVS8KoSCpW07meiIjIGomiaLjfrnYyAOC7777DlStXpAqJJMTEi4iIyAKc7bMwolUsmlVLhVarxdSpU5l8VUBMvIiIiCxEJgCjX45Bfc90pKam4qOPPsLhw4elDossqMIlXhkZGUhMTMxzIyIishRbhYgPO0bB3zu75mv27NlYsmQJtFqt1KGRBVS4xGvu3LnQaDSGW7Vq1aQOiYiIKhgbhYgJ7aPRq2ECAGDz5s0YN24cQkNDJY6MzK3CJV7Tpk1DQkKC4RYWFiZ1SEREVI6Iooh79+5h6dKlGDFiBD777LN8y8lkwIDmCZjYIQoONjrcuXMH7777LrZu3ZqnQz6VL1YznISp2NrawtbWVuowiIionEhKSkJgYCDu3r2LGzdu4Nq1a8+MO1mYZtXSMKdvBH496YabEcCiRYtw6tQpfPLJJ/Dw8DBj5CSFCpd4ERERlZQoioiOjkZYWJjhFhwcjODgYERFRT1TXi6K8BRFVNfrEScIuF3EWJSuKh3+r8sTHLrtiE0BLjh//jxGjhyJjz/+GC+//LK5HhZJgIkXEVE5tnXrVmzcuBFqtRr/+9//UKlSJalDKrNEUURcXBzCwsLw8OFDPHz4EI8ePTL8TU9PL3BblSjC9enNXRThIorIeLouVRQBuRw6HRCVLIerSgd5Ph19ZALQtX4yGnmlY+lJNwTHJOLzzz9H//79MWbMGCgU/MouD/gsEhGVQ1FRUfj111+xf/9+AMDjx48REBCA7t27SxyZ9ERRRExMDAIDAxEUFITg4GCEhIQgLCwMycnJBW4niCIcAKhFEU45NwAaUYTNf8omA9ilVOZZlpSpwJS/quKb1x7Bw1FX4HG8NFmY3j0SWy45Y+9NJ2zZsgXBwcGYPXs2HBwcSv24qWywqsQrLi4OOt2/L1a9Xg8ASE1NRXR0tGG5nZ0dHB0dLR4fEZGUMjMzcfHiRRw8eBDHjx9HVlZWnvUVtcO2TqfD7du3cfnyZVy7dg23b99GXFxc/oVzJVdqUYTj0/uOT+9b6oo0hRwY1CIetStlYNlJN1y4cAFTpkzBt99+C5VKZaEoyBwE0YreiT4+PggJCSmy3PDhw7Fq1api7TMxMREajQYJCQlwcnIyMkIiIsvR6XS4f/8+rl69iosXLyIgICBPc5iHXo+mej0uy2SIlsnQrVs3fPrppxJGbDmiKOLq1avYt28fTp48+cyYjYIoQo3s2qqcm/rpMlPMDJxfjVeOomq8/iso2gYLDnkgJVOO1q1b43//+x8n2C5jSpJLWFWNFxFZp/T0dKSnp8PZ2VnqUKyWKIqIiorC7du3cfv2bdy6dQu3bt1CWlpannL2oghvvR419Xq4AhABJD39kt6/fz/efffdct/PKyAgAL/88gvu3LljWGYjiqgkivAQRbiJIpxF0Wq+AGu6Z+LDTlH4+kBlnDp1Crt370bv3r2lDotKyVpedwCyZ3gnIusSHx+PIUOGICUlBTNmzEDHjh2lDqnME0URERERuHPnDu7evYt79+7h7t27iI+Pf6as4mln7sqiCE+9Hs4ActeF6ABk5KoduX79erl9DnQ6HZYsWYK//voLQPaVhTVEETX0eniIolUPXFnbIxP9/ePxxwUXrFixAl27doWNzX97lpE1sKrEi4isz8OHD5GSkgIAuHjxYrn90jdGfHw8bty4gZs3b+L27du4e/duvtOZCaIIDQBXUYSbXg+3p527S5JQlOfn4I8//jAkXXV0OjTU62EncUym1LleEvbeUCMmJgZnz55F27ZtpQ6JSoGJFxFZTHh4uNQhlAmpqam4ePEizp8/j0uXLuU7TYzsaZLl8nSIApenzWPG9j86deoUJk+eXC6HJjh9+jQAwEevRzO9HuWtF5RCDrzgk4r9t5yYeFmx8vfOI6IyqyJP0SWKIi5cuICdO3fizJkzyMzMzLPe6WnfIzdRhKteDw1M08n7v+Li4nDq1Cm0a9fODHuXVosWLXDjxg0Ey2SIFQTU0OvhlU/zqzVrWCUd+2854fLly1KHQqXExIuILCYqKgpJSUlQq9VSh2JRd+/excKFC3Hr1i3DMgdRhJdej8pPO3xbYiIzZ/ssxKcpsG7dOrRt27bcXRk3fPhwKBQKrF+/Holpabgml+OaXA6bp/3g3HLVHlprE2TtShkQBBGPHj1CZGQkKleuLHVIVELW3NeQiKzQ3bt3pQ7Bog4cOIAxY8bg1q1bUIgi6uh06KbVondWFprr9fC2UNIFAJ3qJsFOocedO3cMA6uWJ3K5HG+99Rb+/PNPfPzxx3jppZdgZ2eHTEFAuEyGa3I5jisU2KZUYptCgWNyOS7JZHggCIgRBGjNFFfv3r2xdu1a9O7dG4IgID619F+9DjYiartnj4l/+PBhU4VIFsQaLyKyqJs3b6J58+ZSh2ERu3fvxoIFCyCKIqrq9Wih08HeQsfWA0hF9lWNBgLQqV4Sdt/QYMmSJWjevHm5nITZwcEBvXr1Qq9evZCVlYV79+7h+vXruHXrFu7du4ewsDCkA4gQBET8Z1tVrnG9nJ72s9MYOfTEwIEDUb16dQwcOBC7du1CdIoCdYxI89rWScG9KDts3LgRvXr1gkajMSI6sjQmXkRkUVevXpU6BLMTRRHr16/HsmXLAGRfYWfpzt6peHYAzz8vuwAAvJ0z8DAe+OKLL7Bo0SLY2lqqzs3yFAoF6tevj/r16xuWpaamIigoCPfv3zdMGRQcHIzY2FikCgJSBQGPc+/k6aj1zk+bKV2eNlsW96xt3LgRAwcOxMaNGyEIAtwdsoreqBAv1UrB3htqhMfHY9asWfj66685tIQVsaqR682BI9cTmdf169cxbtw4w/92dnbYuXNnuf2iSElJwbx583D8+HEAQD2dDn4SXGFX2MjpU7tGYvExD6RmytC2bVvMmDGjXF7lWFLx8fEICQlBcHBwnoSsoOmF1KKISno9PEURnqKI3Gc79/kXBAGiKBr+lnTk+vyExirx5b7KyMySoUWLFpg1axanypMQR64nojLHwzELmToBCWnpuHLlClq2bCl1SCYXERGB//u//0NoaChkAPx1OtR5OqdsWeLumIUJ7aPwzaFKOHHiBGbPno3PP/+83CbDxeXs7AxnZ2c0bdo0z/LY2Fjcv38f9+/fx71793D79m08fPgQSYKAJLkc95E9WGt1UUQDnQ7/vXQkp37DlPUc1V21mNQ+CouOeeDChQt47733MH369Dw1e1Q2MfEiIosQBBF+VdNxPNARf//9d7lLvLRaLT7++GOEhobCXhTRRqeDWxluUKjvmYHx7aKx5Lg7jh8/joSEBMyePZv9hfLh6uoKV1fXPK/ZxMREXLt2DRcvXsSZM2cQHh6OIEFAiEyGZllZ8LTAc9/QKwOfdovED8c88OjRI4wdOxYDBgzA8OHDOZF2GcarGonIYlrUSAUAnDhxAllZxvVzKWuuXr2KkJAQKEQRXbKyynTSlcO/Who+7PgEdko9Ll++jPfeew+3b9+WOiyr4OTkhNatW2PChAlYv349fvzxRzz//PPQA7igUOCxhYbqqOmmxezeEXjRJwV6vR4bNmzAsGHDcPDgQejLYG0rMfEiIgtqUCUdjrY6xMXF4cKFC1KHY1Jubm4AgCxBwCW5HPn3Cip7GnplYHr3SHg4ahEREYGxY8di3bp10OmM64NUkQiCgEaNGmH+/Pl4/fXXAQBX5OYY/jZ/jrZ6jGkbg8kdn8DdMQvR0dGYM2cOxo4diytXrlgsDioeJl5EZDaiKCIkJMTwv0IGvOiTXeu1d+9eqcIyCx8fH4wdOxYymQxhMhn2K5XYq1DgmkyGGEFAWa578HbRYlbvCLSongqdTodly5Zh/PjxePDggdShWRVBEDB27Fg0bdoUWRIMTuvnnY65r4Sjv3887BR63Lp1CxMmTMCnn36a531I0mLiRURms3LlSsyfPz/PsnZ1kgEAJ0+eRExMjBRhmc3AgQPx66+/omPHjlAoFEgQBNyQy3FQocBWhQJ/y+W4/TQRK2v1SQ42Isa3i8Y7L8XAXqnHzZs38e677+KXX35Bamqq1OFZDYVCgf/973/w9fWV5Pg2cqBP40TMfzUcHeomQSaIOHXqFN5++218//33SEpKkiQu+hcTLyIyi71792L16tXPLK/uqoWvewaysrKwc+dOCSIzr9q1a2PGjBnYunUrpk6dipdffhkODg7QCgIeyWS4/DQR+0uhwKGnI6eHCQLKQmojCEDb2in4qu9jNKuWXfv1xx9/YNiwYdi3bx/7DBWTWq3G9OnTJY1BY6/HiBfj8L8+j+Hnnf1c/vXXXxg6dCj2799v0issqWQ4jhfH8SIyqczMTPz222/YsGEDAECt1yNJJkMltRYLXs0elvJMkAq//O0OFxcXbNy4sVwP4AnAMHr65cuXcfXqVdy4cQMJCQnPlLN/OjCn+9ObiyiWeqLswsbxKu44UpfC7LHuvDOikrP3U6dOHbz//vvl7opUc3j8+DEGDRqU7zpTjONVUjfCbfH7eReEJ2QPGdK6dWt88sknvIrVREqSSzDxYuJFZBKiKOLcuXNYsmQJQkNDAQDP6XRwFEVcUCjyJF5ZeuD//vJCbKoC//d//4fevXtLGbrFiaKIhw8f4saNG7hx4wZu3ryJBw8ePFOjJH86qXOlpzf3EiRipki8ACBTBxy6pcaOaxqkabMbSZo3b45Ro0ZxzKhClLXEC8h+3+294YStVzTQ6QV4enpi/vz5qFGjhsVjKW+YeJUAEy8i44iiiIsXL2Lt2rW4fPkyAMBOFNFCp4O3KCJQEJ5JvABg3001/rjgAm9vb6xZswZyC14FVhalpaXhzp07uHnzJm7cuIFr1649Uysmf5qAeT2d+7GwkZpyJ169e/c2TFmze/dufNYtHHUqlWyuwKR0GXZcc8LhO2ro9Nkdx9u0aYORI0dK1p+pLCuLiVeOkFglfjjmjqhkJVxcXPDTTz/By8tLsnjKA45cT0Rml5GRgaNHj2Lz5s0IDAwEkN1ptI5Oh4Z6PYoaA719nWTsuOqEhw8f4tixY+jUqZPZYy7L7O3t4efnBz8/PwDZCW1YWBiuXLmCy5cvIyAgALGxsXj8dB7Bi3I53PV6+Igiqhdxvk0xSbPaTo+hLePRtX4Stl3R4NQDB5w8eRInT55E+/bt8fbbb8PHx6e0D58sqIarFjN6RmL+wUoIjYvDl19+iR9//BEyGbt9WwJrvFjjRVQiYWFh2LlzJ/bu3YvExEQA2TUxtfR6PKfXw+E/5Quq8QKA7Ved8NdlZ9SsWRMrVqzgB38hRFHEgwcP8M8//+DUqVO4ceOGoYO0XBTh8/T850xXY+oar/8KT1Bg2xUNzgWrIEKAIAjo2LEj3n77bVSrVs2ofZcHWVlZiIqKQnp6OkaMGAEAUNtkYUbvSLiqdJCXgZd6TIoc07ZXQUaWDN999x2aNWsmdUhWizVeRGRSGRkZOHHiBHbt2mVoTgQAlSiitl4PX70e+XWPFwHDsAn5/cTr/FwS9t1wQlBQEI4fP44OHTqYIfryQRAE+Pr6wtfXF0OGDEFUVBSOHDmCPXv2IDg4GPflcjyQy1FDr0fj/wx+unv3buzatcswSbOzyvirE700WRjbNgZ9Gidi2xUNLoSqcPjwYRw9ehTdunXDiBEj4OnpafRxrJVCoUCVKlWQlpZmWCaTQdImxv9yc9DBzzsN/wQ74Pbt20y8LISJFxEVKCgoCDt37sSBAwcM4/8IAKo8TbaqiGKhY9LoAFxSFPwx42AjomuDRGy74oxVq1ahXbt2rPUqJg8PDwwcOBADBgzA5cuXsXHjRpw5cwbBT4enyD05tzkmac5RzUWLD9pHIyRGib+uOOPyQ3vs3bsXhw4dQr9+/TBs2DBeOVeGJaVn9620s7OTOJKKg4kXEeWh1Wpx/PhxbN++HVevXjUsVz1tTqyZT3OiMbrWT8KBW04IDg7GsWPH0LFjRxPuvfwTBAH+/v7w9/fHrVu38PPPP+PKlSu4beGLFWq4aTG5YxQCo2yw5ZIzbkUAmzdvxp49ezB8+HC89tprUBZwlSVJ4/JDO9yMsINMJsMLL7wgdTgVBn9aEhEAIDY2FitXrsQbb7yBL7/8ElevXoUAwFuvR9usLPTOykIjEyddQHatV7f62X3FVq1axTkCjVC/fn18//33mDZtGuzt7SWJobZHJj7p8gRTOj9BdZdMpKSk4KeffsLIkSMREBAgSUz0rCuP7PDjcQ8AwOuvv46qVatKHFHFwRovogouODgYGzduxMGDB6HVZne4thdF+D5tTrTE13d2rZcaISEhOHLkCLp06WKBo5ZPgiCge/fuqFKlCiZMmCBRDEBjr3Q0rBKBk4EO2HzJGaGhoZg8eTL69OmDsWPHQqUqbDAMMhedHth5zQnbrmogigJeeOEFvP/++1KHVaEw8SKqoG7duoXff/8dJ0+eNCxz0+tRT6+HdxF9t0xNZSOiR8MkbLnkjNWrV6NDhw5QFNI3jIpWqVIlqUOATADa1klB8xqp2BLgjCN31di5cycuX76M2bNno1atWlKHWKHcj7bB6rOuCInNHnykV69emDx5MpuALYyfbEQVzI0bN7Bq1SqcO3fOsKyqXo/6ej3cJRxdpvNzSdh3U42wsDAcPnwY3bp1kywWMi0HGxHDX4zD8z6pWHbSDWFhYRg3bhy+/PJLtGjRQurwyr2YFDn+vKTBqQeOALLnkpw4cSJrliXCPl5EFcTt27fx8ccfY+zYsTh37hwEAD56PXpotXhZp5M06QIAe6WIHg2yr5xcvXo1srKyJI2HTK++ZwZm947Ac5XTkZqaimnTpuHatWtSh1VuJaTJsO68Mz7Z6mVIurp164Y1a9Yw6ZIQa7yIyrnQ0FD8+uuvOHHiBAAYEq6GOh0cpQ3tGTm1Xo8ePcLBgwfRo0cPqUMiE1Pb6TGl8xP8cMwDVx4BM2fOxKpVq6BWq4vemIolIU2GPTeccOSOIzJ12fUrfn5+GD16NOfXLAOYeBGVUwkJCVi5ciW2b99umHy5hl6PRjodzP0VpweQin8HTwWyO/VGJcsLHbXbTimiR8NEbApwMfwqZ1+v8kcpB8a1jcaM3Z54HB2NTZs24Z133pE6LKsXmyrH3htqHLv7b8JVv359vPPOO2jRogUEQZA4QgLY1EhU7oiiiH379uHNN9/E1q1bodfr4fW0SbGVBZIuIDvp2qVUYm+uTruxqUpM+asqYlMLH1+qc71kqO10CA8Px/79+80cKUnFVimiX9PsScCPHTsmbTBWLiZFjjX/uOD//vLCgVtOyNTJ0KBBA8ybNw8///wzWrZsyaSrDOFPSaJyJDU1FfPmzTN8kWlEEc10OlS2oilZbZUiejdKxB8XXLB69Wp06dIFNjZFTblN1sjXIwMA8Pjx4yJKUn5iU+XYdc0Jx+85IkufnVg1btwYw4cPZw1XGcbEi6icyMjIwMcff4xr165BBqCRTofn9HqrrNbuWDcZe2+oERkZiR07dqB///5Sh0RmEJWU/RXEKYVKJjldhp3XnXD4thrapwmXn58fhg8fDn9/fyZcZRwTL6Jy4o8//sC1a9egFEW01engYUW1XP9loxDRr2kiVp11xZo1a9CjRw84OJh6zHySkigC+246AQCef/55iaOxDlodcPCWGjuvaZCqzf5J1bhxY7zzzjvw9/eXODoqLmv8MUxE+Th16hQAwN/Kk64cL9dORhUnLRISErBu3TqpwyETO3zHEVce2UOhUGDQoEFSh2M2dnZ2+PHHH43ez5WHdvh0RxVsDHBBqlaG2rVrY968efjhhx+YdFkZ1ngRlRPOzs4AgHCZDDV0Olh2imTTU8iAAc3j8f1RD2zatAm9e/eGl5eX1GGRCZx6oMLv51wAAKNGjUKNGjUkjsh8BEGAra3t0/sl3z4xTYa151xwLiS7xtfNzQ2jRo1Ct27dIJOx7sQa8VkjKifeeustyOVyPJTJcEChwGNBgLXXe/l7p6FhlTRotVosXrwYYjmoybMUDw8PbNiwAatWrTIse90vDt+89giuKmkmIhdFYM8NNZaddIcIAX379sXAgQMlicUaBITa49MdVXAuxAEymQwDBw7E77//jh49ejDpsmJ85ojKicaNG2PevHnQaDRIEAQcVyhwQC7HA0GAtY4BLwjAmy3jIJeJOHPmDI4fPy51SFZDoVCgSpUq8PT0NCxztNXDw7HgcdTMKSNLwLJTbth4Mbum67XXXsPkyZPZETwfWTrg93Mu+P6YB5Iy5PD19cXSpUs5uXg5wcSLqBxp2bIlfv/9d7zxxhuwsbFBnEyGcwoFtikU+Ecux2NBgF7qIEvIyzkLvRslAgAWLVqE+Ph4aQOiEgtPUGD2nso4/SC75uaDDz7AhAkTWGuTj8R0GeYdrISDt7NH3Bs0aBB++eUX1K1bV+LIyFT4qicqZ5ycnDB+/Hhs3rwZo0aNQpUqVZAlCAiSyXD8aRJ2Ti5HuCBAmgankuvTOAHezpmIi4vDggUL2ORoRU7dV2Hmbk88jLeBi4sLFi5ciP79+7OmKx+RidkJ6t0ndnBwcMDcuXMxZswYjmNXzjDxIiqnnJ2d8eabb2L9+vVYvHgx+vbtC41Gg0xBwAOZDCcUCmxVKHBKLkeIICBT6oALoZQD77WOgVwm4uTJk9i2bZvUIVERMrIE/HbaFctOuSMjSwZ/f3/89ttvvAKvAA/jlfjfvsqISlbCy8sLP//8M1566SWpwyIz4FWNROWcTCZD06ZN0bRpU0ycOBFXrlzBiRMncPLkSURHRyNMEBAmk0EmiqgsivDW6+EtirA10fF79+6NgQMHYuPGjdi9ezfiU2XwcCx5XVsNNy0GNIvHHxdcsGTJEtSrVw8NGjQwUZRkSk+S5Fh8zANhcTaQyWQYPnw4hg0bBrnc2q+1NY/HCQrMO1AJiely1K5dGwsWLICrq6vUYZGZsMaLqAJRKBRo3rw5Jk+ejM2bN+Pnn3/G0KFDUb16degFAY9lMpx/2hx5XC5HsAk65g8cOBDVq1fHwIEDIYoiolNK/3uvW/0kNK+eiqysLEyfPh3R0dFGRkemdjvSFjN3eyIsLrtp8dtvv8WIESOYdBUgLlWOBYf+Tbq+++47Jl3lHBMvogpKJsueSPe9997D2rVrsXr1arzzzjuoXbs2xKdJ2FmFAtsVClyQyRBfyuNs3LgRoaGh2LhxIwRBgLtD6VM5QQBGvRQDL40W0dHR+PTTT5GWllbq/ZFpBYTZ45tDlZCSKUe9evXw66+/olmzZlKHVWZlZAlYdNQdMSkKVKtWDd9++y2cnJykDovMjE2NRAQA8PHxgY+PD9566y2EhITg8OHDOHDgAB4/foxAuRyBcjk89Xo01OtLNDL+7t27sWvXLgiCAFEU4awy7rpKexsRkzpG4cs9lXHnzh3MmjULc+bMgULBjzMpXX1khyXH3aHTC2jTpg2++OILw8Ch9CxRBFafdUFwjC00Gg3mz59vGASZyjfWeBHRM2rUqIGRI0di/fr1+O6779CuXTvIZDJEyGQ4rFDgpFyO1GLuK+cKRFNeiVhZnYVJHaOglGeP7zVv3jzo9dY2UEb58ThBgR+fJl0dO3bErFmzmHQV4dQDB5x64AiZTIZZs2ZxVoYKhIkXERVIJpOhWbNmmD17NtavX49evXpBJpPhoUyGvQoFHkk4JEBtj0yMbxcFmSDiwIED+P777znMhAT0IrDslBvSs2Tw8/PDp59+ytrHIsSmyA1TJo0cOZJXelYwTLyIqFiqVKmCjz/+GMuXL0f9+vWhFQT8rVDgvoTJl593Ot5rHQMBIrZt24Yff/yRyZeFXQy1x4NoW6hUKnz++edQKpVSh1TmrTvvgjRtdh/LIUOGSB0OWRgTLyIqEV9fXyxZsgR9+/YFAJyXuOarVa1UvN0qFgCwefNm/PTTT0y+LOj4PUcAQP/+/eHh4SFxNGXf7UhbXAhVQSaTYcqUKbzaswJi4kVEJaZQKPDhhx+iT58+AICzcjlSJIynXZ0UjHgxO/natGkTky8L0euzEwkA6NSpk8TRWIetlzUAsse38/X1lTgakgITLyIqFUEQMHHiRDRo0ABaQcBZuVzSeSA71E3Ok3yx2dH8EtNl0OpkkMlkqFatmtThlHnxaQrcjrSDQqHAsGHDpA6HJMLEi8qtmJgYBAQEICAgAMHBwVKHUy4plUp8/vnnsLOzQ5RMhlsST3qcnXzFAMhudlyyZAmTLzPSI7uJWRAETnhdAu3atUOlSpWkDoMkwktPqNyJi4vD5s2bsXnzZmRm/jsD4c8//8wpZsygatWqmDRpEr7++mtcl8vhJopwlDDZ6VA3BQKAlWfdsGXLFshkMowdO5aTMpuBo60OAkTodDokJCRwHKpi6tGjh9QhkISYeFG5kJycjHPnzuHo0aM4ffo0srKyR0e3F0WkPf3CjYiIYOJlJt27d8fly5exb98+nJLL0TrL2ImGjNO+bgpEAKvOumHTpk2wtbXFu+++K2lM5ZGNHHB31CEqWYH79++jefPmUodU5jk4OHD4iAqOiRdZpdTUVNy6dQtXr15FQEAAbty4AZ3u34mX3fR61NfrUVUUcVQuxxM2g5iVIAj48MMPERoaips3b+KfMjCOU4e6KdDrBaw554q1a9dCpVLx0n0z8HHLQFSyAjdv3mTiVQxNmjThOGcVHJ99KvMyMzMRHByMO3fu4Pbt27h9+zYePHjwzEjlalGEt16PGno9nHMtz3j6d9++fejQoQObnMzE1tYWc+fOxdixY/Ho0SOpwwEAdHouGelZAjYFuGDp0qVwdXVF9+7dpQ6rXKntkYnzIQ64efOm1KGUWbmHjHjuueckjITKAiZeVKYkJSUhMDAQ9+/fx7179xAYGIjg4GBD02FuKlGEhyiikl6PyqIIxwL2mfo00frnn38QGRkJT09PMz6Cis3Z2Rnz58/H6NGjkZSUJHU4AIBejZKQlC7H3ptOWLBgAapUqYKmTZtKHVa5Ucstux9lYGCgxJGUXT4+Pujbty9iYmLQs2dPqcMhiTHxIkmIoojIyEjcvXsXgYGBhltkZGS+5W1EES6iCNenNzdRhKo4x3l6y/H48WMmXmbm7e2Njz76CDNnzpQ6FIMBzeMRnSLH+RAHTJ8+Hb/99hsH+zQRT40WAPDkyRNotVqOXJ8PmUyGjz76SOowqIxg4kUWER8fjxs3buDWrVu4desW7t27h4SEhHzLqp4mWc65/joAKE0DoQ5AVq6mxUePHrFjqwWUteYUmQCMah2LyEQlQuMSMHv2bCxatIijhpuAg82/Tf5paWlMvIiKwMSLzCIjIwMBAQE4d+4cLl26hKCgoGfKCKIIDQCXXAmWsyjCxgTH1wNIRXbildutW7fQvXt3dm6tgGwVIsa3j8YXuzxx9epVbNmyBQMHDpQ6LKuXlvnvhSu2trYSRkJkHfjtQyb14MEDbN68GUePHkVaWlqedU5Pmwhzmgo1oghz1TekAtiVzy/vXbt24c0330SVKlXMdGQqyyqrszC4RRxWnnHDihUr0LFjRzY5GulBTPZPJU9PTyZeRMXAxItMZu3atVixYoXhakN7UUTVpx3fK4kiyspHMkcyr9ja1U7B34GOCIwCVq5ciY8//ljqkKzayfsOAIDnn39e4kiIrAMHNyKTuHXrFpYvXw69Xg9vvR6dsrLQNysLLfR6VCtDSReQPZAqVVyCAAxuEQcA2L9/P548eSJxRNbrQbQNzgVnX+aSM2E6ERWOiReZRGJiIoDsfls+ej3cRbFUneEt4datW1KHQBKr7ZGJupXSkZWVhf3790sdjlVKyxSw7KQbRAjo3Lkz6tatK3VIRFaBiReZRPPmzeHn5wdREHBSocARuRyPBAH6oje1uKtXr0odApUBL9dOAQAcO3ZM2kCskFYH/HDcHY8TlfDw8MAHH3wgdUhEVoOJF5mEQqHA/PnzMWTIECiVSkTJZPhbocBuhQLXZTKkSB1gLlevXs13QFaqWPyqZl/8ERgYiPj4eGmDsSKZWQJ+OOaBG4/tYWdnhzlz5nBybKISYOJFJmNra4v3338f69evx6BBg+Do6IgUQcB1uRw7lUockcvxQBCglTjO1NRUXLp0SeIoSGpO9npUVme/Gh88eCBxNNYhOV2GBYc8cOWRPWxsbPDVV1+VuTHbiMo6Jl5kcpUqVcKYMWPw559/4tNPP4Wfnx8A4IlMhnMKBbYpFDj1tCnyv+NsWcrhw4clOjKVJZ5O2TWf4eHhEkdS9oXHKzB7b2XcfWIHBwcHfPPNN5wUm6gUOJwEmY2dnR26deuGbt26ISIiAgcPHsSBAwcQGhqKMEFAmEwGG1FEdb0e1Z/Ou2ipDvnHjh3DhAkToFIVZ+IhKq8cbLN7ISYnJ0scSdl2IcQev552Q7pWhsqVK+Prr79GrVq1pA6LyCqxxosswtPTE8OGDcOaNWuwbNkyvPHGG3B1dUWmICBQLscRhQI7FQpckckQb+ZY3B20SEtLw6FDh8x8JLIWglBWr8E1np2dHVq2bAkAUJTwE1+nBzZedMYPxz2QrpXBz88Py5YtY9JFZATWeJFFCYKAevXqoV69ehgzZgwuXbqEgwcP4sSJE0hNTcUtuRy35HI4Px2WooZeD3sTx9CqVip2XtPgr7/+Qp8+fcr1ly4VLjUz+7m3tzf1q6zsEATBMCdlSV7qcaly/HTCDXef2AEABgwYgPfff5/TbREZie8gkoxcLkeLFi3QokULfPjhhzh9+jQOHTqEs2fPIj4rC5flclyRy+Gp16OWXo+qomiSKtrna6Tg4C01goKCcPbsWbRq1coEe6XcPDw8sGHDBqSnp2PEiBEAAFeVFp92fwJXlVQ9+54Vm5L9Echpg/K6FWGLn064IzFdDpVKhalTp6Jdu3ZSh0VULjDxojLB1tYWHTp0QIcOHZCYmIhjx45h//79uH79Oh7LZHgsk8FeFFFbr0cdvd6oibTtbUR0qJuMvTedsHr1arz44ous9TIxhUKBKlWq5JmvUy4DPBzLTtKVpQceJ2TP51m9enWJoykbRBHYd1ONTQHO0IsCatWqhS+//BLe3t5Sh0ZUbrCPF5U5Tk5O6Nu3L3788UesW7cOQ4cOhYuLC9IEAdfkcuxUKHBLJjNqcNYeDRNho9Dj1q1bOH36tMliJ+sRFqeEVi/A0dGRk6YDyNQBy065YcNFF+hFAV27dsXPP//MpIvIxJh4UZnm7e2N9957D5s3b8Znn32GmjVrQisIuCKX45BcjrSid5Evjb0eXZ5LAgD88ssvHFC1Arr5OLvvUuPGjSGTVeyPwuR0GeYfqITTDxwgk8kwceJEfPrpp7Czs5M6NKJyp2J/2pDVUCqV6Nq1K1asWIFPPvkEarUasTIZjigUyCzlPns3SoTaTofQ0FBs27bNlOGSFbj8MLtD/fPPPy9xJNKKTZXjf/sr417Uv+Nzvfbaa2x+JzITJl5kVWQyGXr27Illy5ahUqVKSBIEXHp6xVZJqWxEvO4XDwD47bffEB0dbcJIqSyLS5Xj3hNbAEDr1q0ljkY6sSlyfLWvEsITsudc/PHHHzkoKpGZMfEiq+Tl5YUvvvgCABAkkyG2lL/O29VOQS33DKSmpuL77783ZYhUhp15oIIIAY0aNULlypWlDkcSyekyzD9UCVHJSnh5eWHJkiWoWbOm1GERlXtMvMhqNW7cGF26dAEAnJHLkVGKfchkwNsvxkIuiDhx4gSOHDli2iCpzNGLwLF7jgCAbt26SRyNNLL0wA/H3fH4aU3Xd999B09PT6nDIqoQmHiRVRs/fryhyfGwQoGkUuyjuqsWvRsnAgC+++47xMTEmDZIKlNuhNshMkkJlUqFzp07Sx2OJP685IzbkXZQqVRYsGABky4iC2LiRVbN2dkZCxYsgLu7OxIFAQcUCgSXotmxb+ME1HDNRGJiIubOnQu93pjBKqgs23tTDQDo2bNnhZyr894TG+y9kX0Opk2bxuZFIgtj4kVWz8fHB7/88gsaN24MrSDgrEKBgFwd7nv37o21a9eid+/eEAQB8anPvuwVcuD9NtGwkYs4f/48Nm7caMmHQBZyP9oGNx7bQyaToX///lKHY3GiCKz5xxUiBHTv3h1t27aVOiSiCoeJF5ULHh4eWLRoEUaOHAmZTIbwXOMyDRw4ENWrV8fAgQMhiiKiU/KfsKGqcxaGtIwFACxbtgzXrl2zSOxkOX9d0gAAunbtWiEHTT0fqkJonA0cHBwwZswYqcMhqpCYeFG5oVAoMHz4cPz0009wd3c3LN+4cSNCQ0OxceNGCIIAd4eCB0ttXycFL/ikQK/XY+bMmYiNjbVE6GQBNx/b4vpje8jlcgwfPlzqcCRx9VH22GVvvPEGnJ2dpQ2GqIJi4kXlTv369TF37lzD/7t378awYcOwe/duiKIIZ1XB/bcEAXi7VSyqOGkRHR2NWbNmcVT7ckCvB/644AIAeOWVV+Dl5SVxRNKRy+V45ZVXpA6DqMJi4kXlklqtNtwXRTHP36LYK0V80D4Kdgo9Ll++jJ9//tksMZLlHL7riNA4G6jVaowYMULqcCxOnqvP4/PPPw9XV1cJoyGq2Jh4EeWjqnMWRrXOHlZiy5Yt2Ldvn8QRUWnFpsix5ZIzAGDUqFHQaDTSBiSB/v37o2XLlnj++efx9ttvSx0OUYWWfy9jIkKLGml4pUkCtl/V4JtvFsDb2xuNGjWSOiwqAVEEVp11RbpWhgYNGqB3795ShySJZs2aoVmzZlKHQURgjRdRofo1TUDz6qnQarPw+eefIyIiQuqQqASO3XPAlUf2UCqV+OSTT/I0uRERSYGJF1EhZALwXusYVHfJRFxcHKZNm4bU1FSpw6JiCI9XYP3TDvWjRo2Cj4+PtAEREYGJF1GR7JQiJnWIgsZOhwcPHuDLL7+ETqeTOiwqREaWgB9PuCMzS4bmzZvjjTfekDokIiIATLyIisXNUYeJHaKglIs4ffo0fvnlF6lDogLk9Ot6GG8DFxcXfPbZZ5DJ+FFHRGUDP42IisnXIxOjXsq+0nHTpk3YtWuXxBFRfg7eVuP0AwfIZDLMmDEDbm5uUodERGTAxIuoBF6omYpXm8YDABYuXIiAgABpA6I8roXb4Y8LzgCAMWPGwN/fX9qAiIj+g4kXUQm90iQRL/qkQKfTYcaMGXj48KHUIRGAR/EK/HTcHXoxewJo9usiorKIiRdRCQkC8M5LsajlnoHExER8+umnSE5OljqsCi0hTYaFRyohVStD48aN8dFHH0EQBKnDIiJ6BhMvolKwUYiY2D4KLqoshISEYM6cObzSUSIZWgHfHfFAdLICVatWxZw5c2BjYyN1WERE+WLiRVRKziq94UrHM2fOYOXKlVKHVOFk6YElJ9wRFGMLjUaD+fPnw9nZWeqwiIgKxMSLyAg13bQY2Sr7Sse1a9fixIkTEkdUcYgisPKMK64+soetrS3mzp0Lb29vqcMiIioUEy8iI71UKxVd6ycCAObOnYuwsDCJI6oYNgdocPK+o2HYiIYNG0odEhFRkZh4EZnAwObxqFspHampqZg5cyYyMjKkDqlc239Tjd03NACA//u//0Pr1q0ljoiIqHiYeBGZgEIGjG0bA7WdDoGBgfjxxx+lDqncOv1AlWcOxp49e0ocERFR8RmdeNWuXRvz5s3DkydPTBEPkdVyUenwfpvs/l7bt2/HyZMnJY6o/Ln2yA7LT2WPRN+/f38MHTpU4oiIiErG6MTrwYMH+PTTT1GtWjUMGDAAhw4dMkVcRFapsVc6ujfI7u81f/58xMXFSRxR+REUbYMfjrtDJwro1KkTxo0bx7G6iMjqGJ14ffbZZ/Dy8oJWq8WWLVvQrVs31K5dG/Pnz2ctGFVI/f3j4e2ciYSEBCxcuFDqcMqFyCQFvj3igYwsGVq0aIFp06Zx4msiskpGf3J9+eWXCAkJwY4dO9CrVy/IZDI8ePAA06ZNQ7Vq1TBw4EDWglGFopQD77WJgVwQceLECQ4xYaTEdBm+PeSBpHQ56tSpgy+//BJKpVLqsIiISsUkPxllMhl69+6NnTt3IiQkBLNmzUL16tWh1WqxefNm1oJRhVPDVYuejbKbHBctWoSUlBSJI7JOmVkCvj/qgcgkJTw9PTFv3jyoVCqpwyIiKjWT19V7eXlh+vTpePDgAfbu3YtXX30VCoWCtWBU4fRtkoDKai1iYmKwZs0aqcOxOnoR+PWUKwKjbOHo6Ih58+bBzc1N6rCIiIxitk4SgiCgW7du+PPPPxEUFIS2bdtCFMU8fcHq1auHZcuWcY47Kpds5MDQltmd6zdv3oyHDx9KHJF12XZFg3MhDlAoFJgzZw58fHykDomIyGhm7Z0aGhqKGTNm4IUXXsDff/8NIDsh8/Pzg1wux7179zBmzBi8+OKLiIqKMmcoRJJo6p2Oxl5p0Ol0WL58udThWI1zwfbYfjV7gNSPPvoI/v7+EkdERGQaJk+8dDodtm3bhp49e8LX1xdz5szBo0eP4Orqio8++gh3797FxYsXERYWhi+++AIODg4ICAjAtGnTTB0KUZkwoHk8BIg4evQo7t+/L3U4ZV5onBK/ns5uUhwwYAAHSCWicsVkiVdwcDA+++wzVKtWDa+//jr27dsHnU6HVq1aYe3atXj06BEWLFgAX19fAEDlypUxc+ZMHDlyBKIoYu/evaYKhahMqe6iRcsaqQCA1atXSxxN2ZaSKeCHY+7IfDpsxPvvvy91SEREJmV04rVlyxZ07doVtWvXxtdff42IiAio1WqMGTMGV69excmTJzF06FDY2Njku32LFi3g6emJiIgIY0MhKrNeaZJ9heOJEycqVF8vOzu7Yo9lJorAitNueJKkROXKlfHFF19AoVCYOUIiIssy+lNtwIABhvv+/v4YPXo0hgwZAgcHh2Lvo6CkjKi88HbRomnVNFx5ZI8///wTEydOlDokixAEAba2tk/vF1728B1HXAhVQaFQYNasWdBoNBaIkIjIsoyu8bKzs8Pw4cNx9uxZXLx4EaNGjSpR0gVkN1PyykYq77rUTwIA7N+/H6mpqRJHU7Y8jFdiw9OJr0ePHo369etLHBERkXkYXeMVHh4OZ2dnE4RCVL41rJKOymotIpNScOzYMXYafypLDyw76QatXsDzzz+P/v37Sx0SEZHZGF3jxaSLqHhkAvBy7ewR7Hkxyb/2XHdCSKwN1Go1pk6dyomviahcMzrxevLkCRYvXow//vijyLLr1q3D4sWLER0dbexhiaxS61rZidfVq1c5fRaAiEQFdjwdr2vChAkcmZ6Iyj2jE6/ff/8dkydPRmBgYJFlr1y5gsmTJ2P9+vXGHpbIKrk66FC3UjoAVPjJs0UR+P2cC7R6AS1btkSXLl2kDomIyOyMTrx27NgBAHj99deLLDts2DCIoojt27cbe1giq9WiehoA4OTJkxJHIq2rj+xwLdweSqUSkyZNYhMjEVUIRide9+/fhyAIqFOnTpFl69WrB0EQOHo3VWj+1bKvaLx69SpSUlIkjkYaej2wKcAZQPaPNm9vb2kDIiKyEKMTr6ioKDg7O0OpVBZZ1sbGBs7OzoiMjDT2sERWq5Jah8pqLXQ6HQICAqQORxLnQlR4GG8DR0dHvPnmm1KHQ0RkMUYnXmq1GgkJCUhPTy+ybHp6OhITE6FSqYw9LJFVa1Al+/1y+fJlaQORgCgCO685AcgegFmtVkscERGR5RideDVs2BB6vR67du0qsuzOnTuh0+nw3HPPGXtYIqtWv3IGgOwLTiqa6+F2eBhvA3t7e7z22mtSh0NEZFFGJ159+/aFKIqYMmUKwsPDCyz36NEjTJkyBYIgoF+/fsYelsiq1a6UnXjdv3+/WLXF5cmhO44AgJ49e7K2i4gqHKMTr9GjR8Pb2xthYWHw8/PDd999h3v37iEzMxOZmZm4d+8eFi5cCH9/f4SFhaFq1aoYO3asKWInslpuDjpo7HXQ6/UV6mKT+FQZrjyyBwD+ACOiCsnoKYNUKhW2bduG7t27Izo6GlOmTMGUKVOeKSeKItzd3bFjx44Sz+VIVB5Vd8nEtTR73L9/Hw0bNpQ6HIs4G+wAURTQsGFDVK9eXepwiIgszugaLwBo1qwZAgICMHToUCgUCoiimOemVCrx1ltv4dKlS/Dz8zPFIYmsXlVnLQAgNDRU4kgs53xI9oU1nTt3ljgSIiJpGF3jlcPb2xtr167F0qVLceHCBURERAAAqlSpghYtWsDe3t5UhyIqFyqrswAADx8+lDgSy0hKlyMqKfsjp02bNhJHQ0QkDZMlXjlUKhXatm1r6t0SlTuuDtmJV0WZuzRNm13BXrt2bVSqVEniaIiIpGGSpkYiKjknOz0AIDExUeJILMvf31/qEIiIJMPEi0gi9srsxKuiTRvUpEkTqUMgIpKMyRKvK1eu4L333kODBg3g5OQEuVxe4E2hMHkLJ5HVkT2dE1qv10sbiIVxAGUiqshMkgEtWbIEH374IXQ6HURRNMUuiYzi4eGBDRs2ID09HSNGjAAADGoWixY+aXBV6aQN7qmsp/mWXC6XNhALUqvV8PDwkDoMIiLJGF3j9c8//2DixInQ6XQYO3Ys9uzZAwBwdXXFoUOH8Pvvv2PEiBGwsbGBu7s71q9fjyNHjhgdOFFhFAoFqlSpAk9PT8MytZ0eHo46yMtIA3tKZnYgFWn09ho1akAQBKnDICKSjNE1XosXL4Yoipg0aRIWLlxoWG5jY4OOHTsCAIYMGYIJEyagW7dumD59OgICAow9LJHVi0nOfvtVpBogb29vqUMgIpKU0b/9T506BUEQMHHixDzL/9vk6Ofnhx9++AH379/HggULjD0skdV7lKAEAFStWlXiSMyratWqsLOzAwAOoExEFZ7RiVdkZCRsbW1Ro0aNf3cqk+U78e+rr74KpVKJv/76y9jDElm9+1G2AMp/Z3MXFxf8+eef2Lx5M3r06CF1OEREkjLJXI1ZWVl5lqnVaiQmJiIjIwO2traG5UqlEiqVCiEhIcYelsiqpWkF3H2S/d5o2rSpxNGYn6OjIxwdHaUOg4hIckbXeFWtWhXJycl5BoH09fUFAJw/fz5P2fDwcCQkJPDKR6rwLofZI0svoGrVqnlqi4mIqHwzOvHKGQzxzp07hmXt27eHKIqYPXu2ockxMzMTEyZMAAA0btzY2MMSWbWj97Jrf7p06cKr/IiIKhCjE6/evXtDFEVs3LjRsGzcuHGwtbXF4cOH4e3tjdatW6Nq1arYunUrBEHA+PHjjT0skdUKjLLBnUg7yGQy9OrVS+pwiIjIgoxOvHr27IkZM2agTp06hmU1a9bE+vXroVarERsbizNnziAmJgaCIODjjz/G0KFDjT0skVUSReDPS84AgO7du3OyaCKiCsbozvVOTk6YMWPGM8tfffVVtGvXDnv27EFYWBg0Gg26du2K2rVrG3tIIqt1McweNyPsoFQqMWzYMKnDISIiCzPrpImurq548803zXkIIquRkilg3TkXAMCgQYPg5eUlcURERGRpRjc11qxZE76+vggMDDRFPETl1u/nXBGbqkDVqlX5g4SIqIIyusbr8ePHsLGxYRMiUSFOBDrg9AMHyGQyfPrpp4aR3ImIqGIxusbLy8uL43IRFSI4Rok1/7gCAEaOHIlGjRpJHBEREUnF6MSrc+fOSE1NxaVLl0wRD1G5Ep8mw/dHPaDVCXjhhRd4RS8RUQVndOI1depUODg4YPz48UhNTTVFTETlQrpWwHdHPBCbqkD16tXxxRdfQCYz+i1HRERWzOg+XgqFAkuXLsX777+PRo0a4YMPPsBLL72ESpUqQS6XF7hd9erVjT00UZmVpQd+OuGO4BhbaDQazJ07l3MVEhGR8YlXzZo1DfdTUlIwZcqUIrcRBOGZibWJygu9CPx22g1XHtnD1tYWX3/9Nby9vaUOi4iIygCjE6/SdKxnZ3wqr0QR+OOCs+EKxlmzZqFBgwZSh0VERGWE0YlXUFCQKeIgKhe2X3XCgVtOAIBPPvkErVq1kjgiIiIqS4xOvGrUqGGKOIis3oFbamy94gwAmDBhArp37y5tQEREVObwEisiEzh53wHrzmdPB/T222/j9ddflzgiIiIqi5h4ERnpYqg9lp/OHiB1wIABGD58uMQRERFRWWV0U+OaNWtKtd1bb71l7KGJJHcrwhY/nXCHKAro2bMnxo4dC0EQpA6LiIjKKKMTrxEjRpT4i0YQBCZeZPVCY5X4/qgHsvQC2rRpg48++ohJFxERFcroxKt69eqFftkkJCQgPj4eAODg4AB3d3djD0kkudgUORYe8UCaVoamTZviiy++gEJh9NuJiIjKOaO/KYKDg4ssc+/ePcyZMwebN2/GvHnzMGDAAGMPSySZnKmA4lIVqFGjBv73v//B1tZW6rCIiMgKWOQnep06dbB69WoolUq89dZbqFu3Lvz8/Cxx6DIhJSWlwHVyuRx2dnbFKiuTyWBvb1+qsqmpqQUOXCsIAlQqVanKpqWlQa/XFxiHg4NDqcqmp6dDp9MZXTYtLQ2iKBpqZTO0InT6ggfwtbcRCi2rF4GlJ90QFC2Hm5sz5s2bB7VajczMTGi12oL3a29vmKexqLJ2dnaG6bZKUlar1SIzM7PAsra2toZauZKUzcrKQkZGRoFlbWxsoFQqS1xWp9MhPT29wLJKpRI2NjYlLqvX65GWlmaSsgqFwpBUi6JY6Hy0JSlbkvc9PyPyL2uqzwgAUKlU/77vMzIKnVmlJGVL8r7nZ8SzZc31GSE50YLCwsJEQRDEAQMGWPKwhUpISBABiAkJCWY7BoACbz179sxTVqVSFVi2Xbt2ecq6u7sXWLZFixZ5ytaoUaPAsg0aNMhTtkGDBgWWrVGjRp6yLVq0KLCsu7t7nrLt2rUrsKxKpcpTtmfPnoWet9z69+9faNnWrVuLbdu2FddObSC+/pJDoWUvfFdNDFruIwYt9xHf7KAutOy+ffsMMUyZMqXQstevXzeUnTFjRqFlz507Zyg7f/78QssePXrUUHbJkiWFlt21a5eh7MqVKwstu2nTJkPZTZs2FVp25cqVhrK7du0qtOySJUsMZY8ePVpo2fnz5xvKnjt3rtCyM2bMMJS9fv16oWWnTJliKBsUFFRo2bFjxxrKPnnypNCyw4cPN5RNTk4utGz//v3zvIYLK8vPiOybOT8jkpOTDWWHDx9eaNknT54Yyo4dO7bQskFBQYay/IzIVhY+I8yhJLmERYeT8Pb2hrOzM44fP27JwxKZRb169aQOgYiIrIwgipabODE9PR2Ojo5QKpWFVu9bUmJiIjQaDRISEuDk5GSWY7AZoeRlTdnU+Nprr0EQBIx6KRota6SUqqkxMU2G2Xs8kZghR/fu3TF58mQ2IzxV1poR2NTIz4iSlmVTY7aK8hlhDiXJJSyaeP38888YN24catWqhcDAQEsdtlCWSLxIOmlpaYape0a9FI02tQv+MiyIKAKLjnrg8kN71KxZE0uXLmVneiIiMihJLmF05/rQ0NBC16enpyMsLAx//vknVqxYAUEQ8Oqrrxp7WCKLOfXAAZcf2kOpVGL69OlMuoiIqNSMTrxq1qxZ7LKiKKJhw4b4/PPPjT0skUUkpsuw/rwzgOzBgn19faUNiIiIrJrRnetFUSzWrVatWvj8889x9uxZaDQaU8ROZHabLjojJVOO2rVrY9CgQVKHQ0REVs7oGq+goKDCD6BQwMXFJU9nSyJrEBRtg7/vOwIAJk+ezJHpiYjIaEZ/k9SoUcMUcRCVKaIIbAxwBgB06dIFjRo1kjYgIiIqFyw6jheRtbgZYYtbEXZQKpUYNWqU1OEQEVE5YXTilZmZiatXr+L27dtFlr19+zauXr1a6JgjRGXB9qvZ/RB79+6NypUrSxwNERGVF0YnXhs3boS/vz8WLVpUZNn//e9/8Pf3x5YtW4w9LJHZ3HtigzuRdlAoFBgyZIjU4RARUTlidOL1559/AgCGDRtWZNl33nkHoigy8aIybf+t7MHvunbtikqVKkkcDRERlSdGJ17Xr18HADRt2rTIss2bNwcAXLt2zdjDEplFbIocF0Ozp1Hp37+/xNEQEVF5Y3TiFR4eDo1GA0dHxyLLqtVqODs74/Hjx8Yelsgsjt9zhF4U4Ofnx8FSiYjI5IxOvGxsbIo94bUoikhLSzNMMEpUluj1wInA7Il1+/TpI3E0RERUHhmdeNWsWROZmZk4c+ZMkWVPnz6NjIwMjv1FZdKtCFvEpirg6OiIl19+WepwiIioHDI68erSpQtEUcTUqVORlZVVYLmsrCxMmzYNgiCga9euxh6WyOROPciu7erYsSMnwiYiIrMwOvGaMGEC7OzscPLkSXTu3BmXLl16pkxAQAA6deqEkydPwtbWFhMnTjT2sEQmlZkl4GJo9rRW/GFARETmYvSUQd7e3li6dClGjBiBv//+Gy1atICnpydq1KgBQRAQFBSEyMhIiKIIQRCwbNkyVK9e3RSxE5nMlUd2SM+SoXLlypweiIiIzMYks/4OGzYMbm5uGD9+PIKDg/H48eNnrlysVasWlixZgu7du5vikEQmdT4ku7arQ4cOvPiDiIjMxiSJFwD07NkT9+7dw9GjR3H69GlEREQAAKpUqYKXXnoJHTp0gEzGqSGp7MnUAZcfZo/d1b59e2mDISKics1kiRcAyOVydO7cGZ07dzblbonM6ka4PTKyZKhUqRKee+45qcMhIqJyjFVQVOHljFTfpk0bNjMSEZFZGV3j9eTJE2zYsAEeHh4YPHhwoWXXrVuHmJgYDBkyBO7u7sYemshoOj1w6WkzY9u2bSWOhoiIyjuja7x+//13TJ48GYGBgUWWvXLlCiZPnoz169cbe1gik7j3xBbJGXI4OTmhcePGUodDRETlnNGJ144dOwAAr7/+epFlhw0bBlEUsX37dmMPS2QSAWHZtV2tWrWCQmHSLo9ERETPMDrxun//PgRBQJ06dYosW69ePQiCgPv37xt7WCKjieK/iVebNm0kjoaIiCoCoxOvqKgoODs7Q6lUFlnWxsYGzs7OiIyMNPawRMViZ2eHJk2aAAAU/3m1P0pQIipZCaVSiRYtWkgQHRERVTRGJ15qtRoJCQlIT08vsmx6ejoSExOhUqmMPSxRsQiCALlc/vR+3nWXntZ2NW/enK9JIiKyCKMTr4YNG0Kv12PXrl1Flt25cyd0Oh3HSqIyIWfQ1JdeekniSIiIqKIwOvHq27cvRFHElClTEB4eXmC5R48eYcqUKRAEAf369TP2sERGSUyT4X6UDYDsjvVERESWYHTiNXr0aHh7eyMsLAx+fn747rvvcO/ePWRmZiIzMxP37t3DwoUL4e/vj7CwMFStWhVjx441RexEpXY13B4iBNStWxeVKlWSOhwiIqogjL5+XqVSYdu2bejevTuio6MxZcoUTJky5ZlyoijC3d0dO3bsgIODg7GHJTJKTjPjiy++KHEkRERUkZhkyqBmzZohICAAQ4cOhUKhgCiKeW5KpRJvvfUWLl26BD8/P1MckqjUsvTA9XA7AGxmJCIiyzLZiJHe3t5Yu3Ytli5digsXLiAiIgIAUKVKFbRo0QL29vamOhSRUQKf2CJNK4NGo+GFHkREZFEmH6pbpVJxzjsq064+re16/vnnIZNxnngiIrIcfutQhXM9PLv29fnnn5c4EiIiqmhMlnhduXIF7733Hho0aAAnJyfI5fICb5wTj6SSlC5DSGz2MBLNmzeXOBoiIqpoTJIBLVmyBB9++CF0Oh1EUTTFLonM4laELQCgVq1acHNzkzgaIiKqaIyu8frnn38wceJE6HQ6jB07Fnv27AEAuLq64tChQ/j9998xYsQI2NjYwN3dHevXr8eRI0eMDpyoNG5FZPfv8vf3lzgSIiKqiIyu8Vq8eDFEUcSkSZOwcOFCw3IbGxt07NgRADBkyBBMmDAB3bp1w/Tp0xEQEGDsYYlK5XZkdo0XhzUhIiIpGF3jderUKQiCgIkTJ+ZZ/t8mRz8/P/zwww+4f/8+FixYYOxhiUosOUOG8ITs/l1NmjSROBoiIqqIjE68IiMjYWtrixo1avy7U5kM6enpz5R99dVXoVQq8ddffxl7WKISux+dnXRVq1YNzs7O0gZDREQVktGJl0qlglKpzLNMrVYjMTERGRkZeZYrlUqoVCqEhIQYe1iiEnsQnd3M2KBBA4kjISKiisroxKtq1apITk5GYmKiYZmvry8A4Pz583nKhoeHIyEhgVc+kiQeJ2b/QKhfv77EkRARUUVldOKV01fmzp07hmXt27eHKIqYPXu2ockxMzMTEyZMAAA0btzY2MMSlVqdOnWkDoGIiCoooxOv3r17QxRFbNy40bBs3LhxsLW1xeHDh+Ht7Y3WrVujatWq2Lp1KwRBwPjx4409LFGpCIKAWrVqSR0GERFVUEYnXj179sSMGTPy1CLUrFkT69evh1qtRmxsLM6cOYOYmBgIgoCPP/4YQ4cONfawRKVSpUoVqFQqqcMgIqIKyuhxvJycnDBjxoxnlr/66qto164d9uzZg7CwMGg0GnTt2hW1a9c29pBEpZb76lsiIiJLM+ukia6urnjzzTfNeQiiEvH29pY6BCIiqsBMNkk2kTWoWrWq1CEQEVEFxsSLKhRPT0+pQyAiogqMiRdVKJUqVZI6BCIiqsCYeFG5p9VqDffd3d0ljISIiCo6Jl5U7sXFxRnuOzk5SRgJERFVdEy8qNzLmSnB19cXgiBIHA0REVVkgljBJ05MTEyERqNBQkICa0PKKa1Wi1u3bsHX1xcODg5Sh0NEROVMSXIJs47jRVQWKJVKw5yiREREUmJTIxEREZGFMPEiIiIishAmXkREREQWwsSLiIiIyEKYeBERERFZCBMvIiIiIgth4kVERERkIUy8iIiIiCyEiRcRERGRhTDxIiIiIrIQJl5EREREFsLEi4iIiMhCmHgRERERWQgTLyIiIiILYeJFREREZCFMvIiIiIgshIkXERERkYUw8SIiIiKyECZeRERERBbCxIuIiIjIQph4EREREVmIQuoAiIiITEkURWi1Wuj1eqlDISsik8mgVCohCIJZj8PEi4iIygWdTofo6GgkJSVBq9VKHQ5ZIaVSCbVaDXd3d8jlcrMcg4kXERFZPZ1Oh7CwMGRkZECj0cDR0RFyudzstRdUPoiiCJ1Oh+TkZMTHxyMtLQ3VqlUzS/LFxIuIiKxedHQ0MjIyUL16ddjb20sdDlkpR0dHaDQahIaGIjo6GpUrVzb5Mdi5noiIrJooikhKSoJGo2HSRUazt7eHk5MTkpKSIIqiyffPxIuIiKyaVquFVquFo6Oj1KFQOaFWqw2vK1Nj4kVERFYt5+pFc3WGpoon57VkjitjmXgREVG5wI70ZCrmfC0x8SIiIiKyECZeRERERBbCxIuIiIjIQjiOFxERVRg6nc4sQwRYmiAI5f5igmPHjqFDhw4AUC6esxxMvIiIqELQ6XTo/9priI2PlzoUo7k6O2PLX3+ZJflatWoVgoOD0b59e7Rv397k+6/omHgREVGFIIoiYuPj0V+rtep+NnoAW+LjzVYLtGrVKhw/fhwAJE28VCoV6tWrJ9nxzYWJFxERVSgysIOzNXj++edx+/ZtqcMwOb72iIiIiCyEiRcRERFh1apVEATB0Mw4a9YsCIKQ5xYcHAwAhv+PHTuGJ0+e4MMPP0TdunWhUqnyDD6alpaGHTt2YNSoUfDz84OHhwdsbW3h5eWFfv36Ye/evQXGc+zYMcNxCorVx8cHAHDx4kUMGDAAVapUga2tLWrVqoUPP/wQcXFxpjtBJsKmRiIiIoK9vT0qV66M2NhYaLVaODg4PDP/5X878wcGBmLQoEGIjIyEnZ0dlEplnvUbN27E22+/necYCoUCjx8/xvbt27F9+3Z89NFH+Oabb0od9/r16zFixAhotVpoNBpkZWUhKCgI3333HQ4cOICzZ8+WqXk8WeNFREREGDhwICIiIvDSSy8BAKZMmYKIiIg8t2rVquXZZvLkyXB2dsbhw4eRkpKCxMRE3Llzx7De2dkZ7733Ho4ePYro6GikpqYiJSUF4eHhmDVrFpRKJb799lvs2LGjVDFHRUVh5MiRGD58OEJDQxEfH4+kpCQsWbIESqUSN27cwPz580t/UsyAiRcRERGVikwmw6FDh9CxY0fIZNkpRd26dQ3r+/Xrh6VLl6J9+/Zwc3MzLK9SpQq++OILfPXVVwCAxYsXl+r4qampGDRoEH799VdDUqhSqTBu3Dh88MEHAIA//vijVPs2FyZeREREVCrDhg2Dt7d3qbfv1asXAODMmTPQ6XSl2sfnn3+e7/JXXnkFQHZzaGpqaukCNAMmXkRERFQqrVu3LrJMZGQkZsyYgVatWsHNzQ0KhcLQab5BgwYAsmuuStMR3tXVFbVr1853nZeXl+F+Wepkz871REREVCqVKlUqdP2ZM2fQs2dPxOeaLcDR0dFw9aNOp0N0dDQAICUlBe7u7iU6vlqtLnCdQvFviqPVaku0X3NijRcRERGVSmFTFmVlZWHw4MGIj4+Hn58f9uzZg8TERCQlJSEyMhIRERE4e/asoXx5mo+xMKzxIiIiIpM7c+YMQkJCIJfLsWvXLlStWvWZMhERERJEJi3WeBEREZFBztWJxtZAhYWFAQA8PDzyTboA4NChQ0Ydwxox8SIiIiIDJycnAMjTL6s0NBoNgOzO9ZGRkc+sf/jwYamHkbBmTLyIiIjIoFGjRgCAPXv24NGjR6XeT5s2beDg4ABRFDFgwADcvXsXAKDT6bB//360b98+3+mAyjsmXkRERGQwfPhw2NnZITAwENWrV4enpyd8fHzg4+ODhw8fFns/Go3GMBXQiRMnUK9ePajVajg6OqJ79+5ISEjAypUrzfUwyiwmXkREVKHoy8HNnOrUqYOjR4+ib9++8PDwQExMDEJCQhASEoKsrKwS7Wv06NHYvXs32rdvD0dHR2RlZaFq1ar44IMPcOXKFTRu3NhMj6LsEsSKcv1mARITE6HRaJCQkGBo1yYiIuuRnp6OoKAg1KxZE3Z2dgWW0+l06P/aa4g1su9SWeDq7Iwtf/1V6HAOVHrFfU3lKEkuweEkiIioQpDL5djy11/lYrwoQRCYdFkpJl5ERFRhMFkhqbGPFxEREZGFMPEiIiIishAmXkREREQWwsSLiIiIyEKYeBERERFZCBMvIiIiIgth4kVERERkIUy8iIiIiCyEiRcRERGRhTDxIiIiIrIQJl5EREREFsLEi4iIiMhCmHgRERERWQgTLyIiIiILYeJFREREZCEKqQMgIiKyFJ1OB1EUpQ7DaIIgQC6XSx0GlQITLyIiqhB0Oh0G9H8V0bEJUodiNHdXDTZt2WqW5GvVqlUIDg5G+/bt0b59e5PvvzQuX76Mbdu2wdnZGZMmTZI6HKMw8SIiogpBFEVExyZg2ZAwyGXWW+ul0wt4bz3MVnO3atUqHD9+HADKVOI1a9Ys1KhRg4kXERGRNZHLRCisuoez9SaNxM71RERERBbDxIuIiIiwatUqCIJgaGacNWsWBEHIcwsODs6zzaVLlzBy5Ej4+vpCpVLB0dERTZs2xeeff47o6OgCj/XPP/9g6NChqFmzJuzs7ODg4IAaNWqgXbt2+PLLL/Hw4UNDWUEQ8PbbbwMAQkJCnolp5syZJj8X5sSmRiIiIoK9vT0qV66M2NhYaLVaODg4wNHRMU+Z3J35Z8yYgS+//NLQ10ylUkGr1eLq1au4evUqVqxYgd27d8Pf3z/PPlavXo23337bsJ2trS0UCgVCQ0MRGhqKEydOoFq1ahgxYgQAoHLlykhLS0NiYiJkMhk8PDzy7O+/MZZ1rPEiIiIiDBw4EBEREXjppZcAAFOmTEFERESeW7Vq1QAAixYtwuzZs+Ho6Ii5c+fi8ePHSElJQWpqKi5cuICOHTvi8ePH6Nu3L5KTkw3HSE1NxQcffABRFPHmm28iMDAQ6enpSEhIQHJyMi5cuID/+7//Q6VKlQzbRERE4PvvvwcAVKtW7ZmYpkyZYsGzZDzWeBEREVGxRUdH47PPPoMgCNi6dSs6depkWCeXy9G8eXPs378fL774Ii5evIjly5cbrkS8fv06kpKS4ODggJUrV0Kh+DcNcXBwQPPmzdG8eXNLPySLYo0XERERFdu6deuQmpqKFi1a5Em6clMoFBg8eDAAYP/+/Yblzs7OAIDMzEzExMSYPdayiDVeREREVGwnT54EkF175enpWWC5tLQ0ANkd4nP4+vriueeew+3bt/HCCy9gzJgx6NatGxo3blxhRuJnjRcREREVW3h4OIDsxCoyMrLAW2JiIoDsfl055HI5NmzYgJo1ayIkJARTp06Fv78/nJyc0KVLF/z88895ypdHTLyIiIio2HQ6HQBg9OjREEWxyNt/h6Bo2rQpbt++jT///BPvvfceGjVqhLS0NBw6dAhjx47Fc889h2vXrknwyCyDiRcREREVW07zojHJkY2NDV577TUsXboU165dQ1RUFH755Re4uroiLCwMw4cPN1W4ZQ4TLyIiIjKQybJTg4LmgmzdujUA4OzZs3n6bxnDzc0N77//PubNmwcge2DW3J3vi4rJmjDxIiIiIgMnJycAQHx8fL7rhw0bBnt7e+h0OowbN87Q9JgfvV6fZz8ZGRmFHtve3t5wP3dn+6JisiZMvIiIiMigUaNGAIA9e/bg0aNHz6z39PTE119/DQDYvXs3unTpglOnThkSMFEUcfv2bSxcuBCNGjXCrl27DNtu2LABrVu3xtKlS/HgwQPDcp1Oh/3792Pq1KkAgFatWhmGnsgdU2JiIjZt2mTaB2xhHE6CiIgqFJ1eAGC9TVbZ8ZvP8OHD8e233yIwMBDVq1eHh4cH7OzsAGQPJeHt7Y0JEyYgIyMD06ZNw9GjR9GmTRvY2NhArVYjMTERWq3WsD9B+DdeURRx+vRpnD59GkD2dEGOjo6Ii4uDXq8HAHh5eWHFihV5YqpduzY6deqEw4cPY+DAgXj33Xfh6uoKAJg0aZJhgFZrwMSLiIgqBEEQ4O6qwXvrpY7EeO6umjwJjSnVqVMHR48exdy5c/HPP/8gJiYGWVlZAGD4CwD/93//h1dffRU//fQTDh8+jODgYMTHx8PJyQm1a9dGhw4d0K9fP7z44ouGbfr27Ys1a9bg6NGjCAgIwOPHjxEbGwu1Wo169eqhT58+GD9+fJ7arhxbtmzB7NmzsXv3boSGhhr6l1lb86MgloeeakZITEyERqNBQkKCoQ2ZiIisR3p6OoKCglCzZk1DzUxBdDpdueigLQhChRlwVAoleU0BJcslWONFREQVBpMVkho71xMRERFZCBMvIiIiIgth4kVERERkIUy8iIiIiCyEiRcRERGRhTDxIiIiIrIQJl5EREREFsLEi4iIyoXyMDAqlQ3mfC0x8SIiIqsmk2V/leVM0kxkrJzXUs5ry5SYeBERkVVTKpVQKpVITk6WOhQqJ5KSkgyvK1Nj4kVERFZNEASo1WokJCQgLS1N6nDIyqWlpSExMRFqtdosE5FzrkYiIrJ67u7uSEtLQ2hoKJycnKBWqyGXy83yxUnljyiK0Ol0SEpKQmJiImxtbeHu7m6WYzHxIiIiqyeXy1GtWjVER0cjKSkJ8fHxUodEVkipVMLZ2Rnu7u5mm1CdiRcREZULcrkclStXRqVKlaDVaqHX66UOiayITCaDUqk0ey0pEy8iIipXBEGAjY2N1GEQ5Yud64mIiIgshIkXERERkYVYXeKVlJSEmTNnonHjxnB0dIRGo0HLli3x7bffIjMzU+rwiIiIiAokiFY0x0JISAjat2+P4OBgAIBKpYJOp0NGRgYAwN/fH4cPH4aLi0ux95mYmAiNRoOEhAQ4OTmZI2wiIiIqx0qSS1hNjZdOp0OfPn0QHByMKlWq4ODBg0hJSUFqaio2bNgAtVqNS5cuYejQoVKHSkRERJQvq0m8Vq1ahWvXrgEA/vzzT3Tu3BlA9uWfAwcOxNKlSwEAe/fuxeHDhyWLk4iIiKggVpN4rV69GgDQoUMHtGrV6pn1gwYNQs2aNQEAa9assWhsRERERMVhFYlXamoqTp06BQDo0aNHvmUEQUD37t0BAAcOHLBYbERERETFZRWJ161btwwjEDdq1KjAcjnrIiIiEBsba5HYiIiIiIrLKkauDw8PN9yvWrVqgeVyrwsPD4erq+szZTIyMgxXQQJAQkICgOwrEoiIiIhKKieHKM5AEVaReCUlJRnuq1SqAsvlXpd7m9zmzp2LWbNmPbO8WrVqRkRIREREFV1SUhI0Gk2hZawi8TKladOm4cMPPzT8r9frERsbCzc3N7NPjEnSSExMRLVq1RAWFsax2iTA8y89PgfS4vkv/0RRRFJSEry8vIosaxWJl1qtNtxPTU0tsFzudbm3yc3W1ha2trZ5ljk7OxsXIFkFJycnfuhJiOdfenwOpMXzX74VVdOVwyo61+fOIB89elRgudzripN1EhEREVmSVSRe9evXh0yWHer169cLLJezztPTM9+O9URERERSsorES6VSoXXr1gCAffv25VtGFEXs378fANC1a1eLxUZln62tLWbMmPFMEzNZBs+/9PgcSIvnn3Kzmkmyf/vtN7z77rsQBAFnzpzBCy+8kGf9pk2bMHDgQADAoUOH0KlTJynCJCIiIiqQVdR4AcDw4cPRuHFjiKKI119/3TAfo16vx+bNmzFq1CgA2SPbM+kiIiKisshqarwAIDg4GB06dEBwcDCA7CZIvV6P9PR0AIC/vz8OHz4MFxcXCaMkIiIiyp9VJV5A9uBk33zzDf766y8EBQVBJpOhbt26GDx4MD744APY2NhIHSIRERFRvqwu8SIiIiKyVlbTx4soKSkJM2fOROPGjeHo6AiNRoOWLVvi22+/RWZmZqn2GR8fj+3bt+OLL75A7969UaVKFQiCAEEQsGrVKtM+ACtnjvP/6NEj/PTTT3jjjTdQu3Zt2Nvbw97eHjVr1sTgwYNx5MgREz8K62aO5+D48eP47LPP0K1bN9SpUwcuLi5QKpWoVKkSOnTogMWLFyMtLc3Ej8Q6meP8F2T06NGGzyIfHx+T7pskJhJZgeDgYNHHx0cEIAIQVSqVaGtra/jf399fjI2NLfF+V65cadjHf28rV640/QOxUuY4/6GhoaIgCHnOuUqlEu3t7fMsGzlypJiVlWWmR2Y9zPUe6NWrV57z7eDgIDo4OORZVrNmTfHOnTtmeFTWw1znPz9Hjx7N896oUaOGSfZLZQNrvKjM0+l06NOnD4KDg1GlShUcPHgQKSkpSE1NxYYNG6BWq3Hp0iUMHTq0VPv39PREjx498Nlnn+HPP/80cfTWz1znX6fTQRRFdOrUCatXr8ajR4+QkpKC5ORk3LhxA6+88goAYMWKFZg5c6YZHpn1MOd7oHPnzli8eDECAgKQmJiI5ORkJCcnIzo6GosXL4a9vT2CgoLw6quvQq/Xm+HRlX3m/gzKLTU1Fe+++y4UCgVatGhhguipzJE68yMqyvLlyw2//E6fPv3M+vXr1xvWHzp0qET71mq1zyzL2RdrvLKZ6/zHx8eLFy9eLHC9Xq8Xu3fvLgIQHR0dxbS0tFLFXx6Y8z1QlKVLlxr2ffLkSZPu21pY8vxPmjRJBCB+9tln4vDhw1njVQ6xxovKvNWrVwMAOnTogFatWj2zftCgQahZsyYAYM2aNSXat0JhFfPES8pc51+j0aBZs2YFrhcEASNHjgQAJCcn49atWyUJu1wx53ugKC+++KLh/sOHD026b2thqfN/9uxZLF68GHXr1sXnn39e6v1Q2cbEi8q01NRUnDp1CkD24Lj5EQQB3bt3BwAcOHDAYrFVBFKffzs7O8N9nU5n0n1bC6mfg7///ttw39fX16T7tgaWOv8ZGRkYOXIkRFHE0qVL87z2qXxh4kVl2q1btwz9Sho1alRguZx1ERERiI2NtUhsFYHU5//YsWMAABsbG9StW9dk+7UmUjwHaWlpuHfvHr766it89NFHAIC2bdtWyD5Hljr/s2fPxq1bt/DOO++gffv2pYqVrAPbWahMCw8PN9yvWrVqgeVyrwsPD4erq6tZ46oopDz/QUFB+OWXXwAAAwcOhJOTk9H7tEaWeg4iIiJQpUqVfNf16dOnwg6vYonzf+nSJcyfPx+VK1fG/PnzSxcoWQ3WeFGZlpSUZLivUqkKLJd7Xe5tyDhSnf+0tDS88cYbSE1NhZubG+bOnWv0Pq2VpZ4DuVyOypUro3Llynmaud544w3Mnz+/wv6YMff5z8rKwsiRI5GVlYXFixdzyrsKgIkXEZUpWVlZGDJkCC5evAilUon169cXWtNApuHh4YGIiAhEREQgNTUVYWFh+Oyzz7Bz5040adIEy5YtkzrEcunrr7/G5cuX0bt3bwwYMEDqcMgCmHhRmaZWqw33U1NTCyyXe13ubcg4lj7/Op0Ob775JrZt2waFQoH169eja9eupd5feSDFe0AQBHh7e2POnDlYt24dtFotxowZgytXrhi1X2tkzvN/8+ZNfPnll3B0dMRPP/1U+iDJqjDxojLNy8vLcP/Ro0cFlsu9Lvc2ZBxLnv+cpGvjxo2Qy+X4/fff0b9//1LtqzyR+j3w2muvoUaNGtDr9fjtt99Mtl9rYc7zP27cOGRmZuKzzz6Di4uLYfDanFtWVhYAQBRFwzKtVlvKR0JlBRMvKtPq168PmSz7ZXr9+vUCy+Ws8/T0rLB9UczBUudfp9Nh6NCh2LBhgyHpGjhwYOmCLmfKwnsgJ5EIDAw06X6tgTnPf1BQEABg2rRpUKvVz9zWrVsHAAgNDTUs+/HHH415OFQGMPGiMk2lUqF169YAgH379uVbRhRF7N+/HwAqfLOUqVni/OckXblrugYNGlT6oMsZqd8DoigaEoSK2Iwv9fmn8oeJF5V5w4cPBwAcPXoU//zzzzPrN2/ejAcPHgAA3nrrLYvGVhGY8/zrdDoMGTIEGzduhEKhwLp165h05cNcz0FOU1ZhVq5ciYiICACosONLmev8BwcHQxTFAm85x61Ro4Zh2aRJk4x/QCQty89SRFQyWq1WbNy4sQhArFq1qmEuNJ1OJ27atEl0cnISAYg9evR4ZtsZM2YY5lALCgrKd/9RUVF5bjnlf/jhhzzLU1JSzPkwyyxznf+srCxx8ODBIgBRoVCImzZtssTDsUrmeg6OHj0qvvzyy+KaNWvEsLCwPOvu3r0rfvLJJ6JCoRABiL6+vmJqaqrZHmNZZu7PoIJwrsbyiYkXWYWgoCDRx8fH8AGmUqlEOzs7w//+/v5ibGzsM9sV50MvZ31RtxkzZpj3QZZh5jj/x48fN6xTKpVi5cqVC71t2LDBQo+2bDLHc3D06NE8r3E7OzvR3d1dtLe3z7O8adOmJU4ayhtzfgYVhIlX+cSmRrIKPj4+uHr1Kr744gs0atQIgiBAqVSiefPm+Oabb3D27FkOPGhG5jj/OdOwAIBWq0VkZGSht7S0NFM/LKtijuegefPmWLNmDUaOHImmTZtCo9EgPj4eMpkMvr6+eOONN7BhwwZcvHgRPj4+5nlgVoKfQWQqgiiKotRBEBEREVUErPEiIiIishAmXkREREQWwsSLiIiIyEKYeBERERFZCBMvIiIiIgth4kVERERkIUy8iIiIiCyEiRcRERGRhTDxIiIiIrIQJl5EREWYOXMmBEFA+/btS7SOiOi/mHgRERERWQgTLyIiI7i7u6NevXqoXr261KEQkRVQSB0AEZE1Gz9+PMaPHy91GERkJVjjRURERGQhTLyISHKbNm1Cjx49ULlyZSiVSjg7O6NOnTro27cvfvzxR6Snpz+zTUxMDGbPno0XXngBrq6usLOzg4+PD7p164ZffvkFCQkJeco/efIEK1aswGuvvYb69etDo9HA3t4etWvXxrvvvosbN26UKvbCOtePGDECgiBgxIgRAIAtW7agffv2cHV1hUqlgp+fH77//nvo9foC9y+KIlauXIlWrVpBrVZDo9HghRdewLJlyyCK4jPHIKKyjU2NRCSpd955BytWrDD87+joCK1Wi8DAQAQGBmLnzp3o1asXfHx8DGUOHDiAQYMGIS4uDgCgUCjg6OiIkJAQhISE4MCBA/D09ES/fv0M23z88cdYvXq14X8nJydkZWXh/v37uH//Pn7//XesW7cOr7/+ulke5/jx4/Hjjz9CJpPByckJaWlpuHLlCiZNmoSAgIA8seXQ6XQYOnQoNm7cCAAQBAHOzs64cOECzp07h2PHjsHGxsYs8RKRebDGi4gkc/LkSaxYsQIymQzz5s1DTEwMkpKSkJKSgujoaOzfvx/Dhw/Pk1xcunQJr7zyCuLi4tCwYUPs2bMHqampiIuLQ0pKCs6fP4+PPvoIarU6z7Fq1qyJzz//HJcuXUJycjISEhKQkZGB69evY+jQocjIyMDw4cMRHh5u8se5Y8cO/Prrr1i4cCHi4uIQFxeH6OhovPvuuwCANWvW4MiRI89st2DBAkPS9eGHHyIqKgqxsbGIi4vDV199hQ0bNmDHjh0mj5eIzEgkIpLIvHnzRABi165di71NmzZtRABinTp1xPj4eJPF0qtXLxGA+OWXXz6zbsaMGSIAsV27diVaN3z4cBGACEBcuXJlvsdt3ry5CEB899138yxPSUkRnZycRADiO++8k++2OccGIA4fPryoh0hEZQBrvIhIMs7OzgCAqKgo6HS6Isvfu3cPJ0+eBAB89dVX0Gg0JoulV69eAGDYvylVq1YNb731Vr7r+vbtCwC4evVqnuX79+9HYmIiAOCzzz7Ld9uPPvoIKpXKhJESkbkx8SIiyXTu3Bl2dna4dOkSXn75Zfz2228ICgoqsPzp06cBAHK5HD169Cjx8a5cuYKxY8eiSZMmcHJygkwmgyAIEAQBY8eOBQA8fPiwdA+mEC1btoRMlv/HrZeXFwAgNjY2z/KAgAAAQPXq1VGzZs18t1Wr1WjevLkJIyUic2PneiKSTK1atbB8+XKMHj0aZ86cwZkzZwAAHh4e6NChA4YMGYK+fftCEAQAQEREBIDsQUsdHBxKdKwlS5Zg4sSJhisIBUGARqOBra0tACAtLQ2JiYlISUkx1cMz+G9/s9wUiuyPYa1Wm2d5VFQUgH8Ts4JUrVrVyOiIyJJY40VEkho6dChCQkLwyy+/YODAgahWrRqioqKwadMm9OvXD+3atTM0ueXIScSK69atW5g0aRL0ej3eeOMNnDt3Dunp6YiLi0NERAQiIiKwcOFCANnDN5QFOXEU9VjLSrxEVDxMvIhIcq6urnj//fexYcMGhIaGIjAwEFOnToUgCPj7778xc+ZMAECVKlUAZNcGlaRmasuWLdDpdKhfvz42bNiAli1bPjMMQ05tWllRqVIlACjyKktzXIVJRObDxIuIyhxfX1/MnTsXQ4YMAQAcPHgQAPDSSy8ByB7fau/evcXeX1hYGACgadOmBfa1OnTokDEhm1yzZs0AACEhIQgODs63THJyMi5evGjBqIjIWEy8iEgyGRkZha63t7cHkN2ZHgBq166Ntm3bAgA+/fTTZ5ogC5Jz9eO1a9fybZrbu3cvjh07VtywLaJr165wcnICkH0FZ36+++47pKamWjIsIjISEy8iksz48eMxYMAA/Pnnn3jy5IlheXJyMn755ResWbMGANCzZ0/Duu+//x52dna4d+8eWrdujX379hk6pqempuKff/7B6NGj89Rgde/eHQBw48YNjBs3znAFYUpKCpYuXYr+/fvDzc3N7I+3JBwcHPDJJ58AAH799Vd8/PHHhriTkpIwb948zJw5Ey4uLlKGSUQlxMSLiCSj1WqxefNm9O/fH5UrV4ZarYaLiwvUajXGjBmDzMxMtGnTJs84Vn5+fti+fTs0Gg2uX7+OHj16wMHBAa6urnBwcMCLL76IpUuXIjk52bBNp06dMGjQIADAzz//DDc3N7i4uECj0WD06NGoX7++oR9ZWfLxxx+jf//+ALJHsffw8ICrqytcXFwwdepUDB06FH369AEA2NnZSRkqERUTEy8iksz06dOxePFivPrqq3juueegUCiQnJyMSpUqoUuXLlixYgWOHTv2zNARXbt2xb179/DZZ5/B398f9vb2SEtLM0ySvXTpUnTs2DHPNuvWrcOiRYvQpEkT2NraQqfToXHjxpg7dy5OnToFR0dHSz70YlEoFNi0aROWL1+O559/Hvb29sjKykKLFi2wfPlyrFmzBvHx8QD+HYyWiMo2QeS1yEREVkkURVSvXh0PHz7EmjVrMGzYMKlDIqIisMaLiMhKrV27Fg8fPoRCoUCnTp2kDoeIioGJFxFRGTZ48GBs2bIF0dHRhmWRkZH4+uuvMWrUKADAW2+9VeQI90RUNrCpkYioDHN2dkZCQgIAQKVSQalUGv4HgJdffhm7du0yDD1BRGUbEy8iojJszZo12Lt3Ly5duoQnT54gOTkZzs7O8PPzw6BBgzBs2DAolUqpwySiYmLiRURERGQh7ONFREREZCFMvIiIiIgshIkXERERkYUw8SIiIiKyECZeRERERBbCxIuIiIjIQph4EREREVkIEy8iIiIiC2HiRURERGQh/w9eTuBNtFq4HQAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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q2gUgNzfXanH8V0VFBT/fr1OnTjUmXQBq7WkEgIiICP77e5lkbe7jTWQyGQDbX+fjx4/zyemsWbNqTLqA2q+ll5cXP/x99epVq9Qqqzxsasm/fwBo1KgRpk6dim+//RbXr1/H6dOn+f1E09LS8NFHH1n0fMRxUOJFnE7l4bC6XqwrT9j96aefrBaTTCbDo48+imeeeYa/7ejRo1XaNCRuS+rfvz+++uor/v+VJ4dbmq+vL/995YUK1alrKx1LysvL44eO4uLiam27d+/eWu/v3bs3/319Jmv/V9u2bfnent9//x3FxcUNPgbw77W29XW+c+cO/72519I0kb+oqKjK9lCWEhgYyM+jO336dJ1JtTk6dOiAH374gf+/Nf/OiH2jxIs4ncrDB3UNC3Xq1Il/4T148GCdbwTmqrzf4n/niDQkbkurLS5LatmyJf/9fyv4V5aUlIRdu3ZZLY7/qlwK4ObNmzW2Ky4uxueff17rscaPH88PoX355ZfIzMxsUCxisRgTJ07kz2catmso07VOTU2tUlX+v0y7JVhKfa/lmTNn8Msvv9R6LFP5FgB44403rDL8PHXqVAD/LgiwJlv9nRH7RokXcTqxsbH892fOnKm1rUgkqvLGNmHCBOzZs6fWx1y6dAlPPvlkldsyMzMxb948JCUl1fg4tVqN1atX8/9v167dPcfdEC+++CKOHz9ea5tvvvmmxrgsKSoqik8IDh8+jJ07d97VJicnB+PGjavXhuSWolQq0bRpUwDGTa3/u/0QYJxn9PDDDyM1NbXWY0VGRvJDlfn5+RgxYkStj/njjz9QWFhY5bZXXnmFT8Q/+OADfPHFFzX2ghYWFlbbGzR8+PAqx6vu8W+++SZ+++23Wn+ehurcuTO/cGT58uXV/k0kJibiwQcfrHZxQmUPPfQQ2rZtC8DYQzR16tQaV/PqdLo6E7nqzJkzB5GRkQCADRs24Nlnn0V5eXmN7YuKivDFF19g//79VW5/++23sW/fvlqTw6+//pr/3pp/Z8S+ccyWYxqE2EiHDh2QkJAAwDjPZNCgQVV6lIYNG1al/YIFC/B///d//P979eqFESNGIDo6GhKJBPn5+bh06RJ+//13XLx4EWKxuMon1uTkZD5x6ty5M3r37o0WLVrAx8cHRUVFuHbtGtavX88P+/Tu3Rt//PFHlZWNOp0O4eHhyM7OhlQqxfPPP49u3brxE90VCsU9Tf6PiYlBSkoKYmNjMWjQILRt2xaBgYGoqKhAWloatmzZwl8rf39/XLp0qcqk38o/27Rp07Bq1aoaz1WftqtWrcKjjz4KwDgXbsaMGejTpw8YY0hISMDKlStRWFiIBx98EJs3bwYArFy58q698QCgX79+fNJh7kvZkiVLMGfOHADGhHzy5Mno1asXvLy8cOnSJaxcuRIZGRl45JFH+CGjvn374vfff7/rWBqNBn369KmyV+P48ePRo0cP+Pn5obi4GJcuXcLu3btx5coVJCUlVekNAYx7NU6cOJF/I2/bti3GjRuHxo0bg+M4pKen4/jx49izZw8eeuihu651Xl4emjVrhry8PABAz549MXnyZAQEBCA1NRUbNmzAqVOnMGHCBGzYsKHWn6eh1/mhhx7Cli1bABjnas2aNQtt27aFwWDAsWPH8MMPP6CsrKzKtVy4cCEWLVp017Gq26txwoQJaNeuHdzd3ZGbm4szZ85g586dcHNzq1IiBqj6fKvpeXTmzBn069ePH9YNDQ3Fww8/jHbt2sHb2xvFxcVISkrCyZMncfDgQVRUVOCHH36o0iNnukYhISEYOnQo2rdvj+DgYDDGkJGRgR07dvDzCOVyOU6fPo1WrVrVeS2JE7JlmXxCbGX37t1MLBZX2eqm8ld1vv32W+bl5VXjYyp/RUdHV3lscnJyvR4HgPXv35/l5uZWG0Pl/SDrOmd9xcbG1vtnOn369F2Pr7xl0LRp02o9V33bzpgxo8Y4ZDIZW7Zsmc23DDIYDGzq1Km1XqPRo0cztVpdr+14iouL2bhx4+p17Wvay3Hnzp0sICCgzsc/+uij1T7+119/ZW5ubjU+btSoUay0tLRBWwbVR15eHmvXrl2N5xWJROytt96q9/Ze169fr7JnY01fsbGxdz22vttUXb58udaYK3/J5XK2Z8+eKo/v379/vR4bEBDA9u7dW6/rSJwTJV7EaZ04cYJNmjSJxcbGMoVCUWfixZhxw+GPPvqIDRkyhIWFhTG5XM7kcjkLCQlhffr0YS+99BI7cOBAtXvGpaamspUrV7KpU6eyNm3aMKVSycRiMXN3d2dNmjRhEydOZDt37qwz7l9//ZWNGTOGRURE8Ps/mpN4FRQUsG3btrFnnnmGdenShQUEBDCpVMrkcjmLiIhgI0aMYN9++y1Tq9XVPt4aiRdjjG3cuJENHDiQ+fr6MrlczmJiYtiMGTPY+fPnGWPC7dW4YcMGNmDAAObj48NkMhmLiIhgI0eOZBs3buTb1CfxMjl69Ch74oknWLNmzZiXlxeTSCTM39+fde/enb388svVbphemUqlYp9++ikbOHAgCw4OZlKplCkUChYXF8fGjRvHVq5cyUpKSmp8/LVr19ijjz7KoqKimEwmY4GBgax///7shx9+4PdctHTixRhjpaWl7P3332fx8fHM3d2dubu7s0aNGrHp06fzm6w3ZF9VvV7PNmzYwMaNG8eioqKYQqFgMpmMhYWFscGDB7MPPviApaen3/W4huwPajAY2Pbt29nUqVNZkyZNmLe3NxOLxczHx4e1a9eOTZ06la1atYrl5+dX+/P++uuv7KWXXmK9evViISEhTCqVMplMxkJCQtjAgQPZxx9/fNeG6MT10FAjIYQQQoiN0OR6QgghhBAbocSLEEIIIcRGKPEihBBCCLERSrwIIYQQQmyEEi9CCCGEEBuhxIsQQgghxEYkQgcgNIPBgIyMDHh5eVWpIk4IIYQQUh+MMRQXFyMsLAwiUe19Wi6feGVkZPD7dBFCCCGE3Ku0tDRERETU2sblEy8vLy8Axovl7e0tcDSEEEIIcTQqlQqRkZF8TlEbl0+8TMOL3t7elHgRQggh5J7VZ8oSTa4nhBBCCLERSrwIIYQQQmyEEi9CCCGEEBuhxIsQQgghxEYo8SKEEEIIsRFKvAghhBBCbIQSL0IIIYQQG6HEixBCCCHERhwm8VKr1dizZw/effddPPDAA4iOjgbHceA4DosWLRI6PEIIIYSQOjlM5fqTJ09ixIgRQodBCCGEEHLPHCbxAgBfX1906NCB/3r++eeRlZUldFiEEEJIrZKSkpCeng4AaNKkCYKDgwWOiAjFYRKv3r17Iz8/v8ptr776qkDREEIIIfWTn5+PuXOfg8HAAABKpRJfffUVfHx8hA2MCMJh5niJxWKhQyCEEEIarLCwkE+6AKCoqAiffPIJ9Hq9gFERoThM4kUIIYQ4MqWbFvP734BUbMDZs2exePFiSr5cECVehBBCiI2EKcvxaKc0iDiGgwcP4qOPPkJFRYXQYREbcrnEq7y8HCqVqsoXIYQQYittQosxvVMaxBzD0aNHMX/+fOTk5AgdFrERl0u83nvvPSiVSv4rMjJS6JAIIYS4mPhwFZ7qkQx3qQ7Xr1/Hc889h7/++kvosIgNuFziNX/+fBQVFfFfaWlpQodECCHEBTUNLMVL/W4iUlmG4uJivPvuu/jqq69QVlYmdGjEilwu8ZLL5fD29q7yRQghhAghwEOL5/vcwoDGuQCAvXv34tlnn8WlS5cEjoxYi8slXoQQQog9kYoZxrbOwjM9k+CrqEBWVhbmz5+PVatWQavVCh0esTBKvAghhBA70DSwFPMHJKJbVAEYY9i6dSteeuklZGRkCB0asSBKvAghhBA7oZAaMLlDOmZ2SYGHTIebN2/ihReex+nTp4UOjVgIJV6EEEKInWkXVoxX+ici1q8UpaVqvP322zh48KDQYRELcJi9GgGgoKCgSpVfg8EAAFCr1cjNzeVvd3Nzg6enp83jI4QQe8QYQ2ZmJvz8/ODm5iZ0OC6FMYby8vJ/vm/YY30VOjzbKxk/JoThZJovPv/8c7i5uaFHjx5WiJTYCsdYQ58KwomJiUFKSkqd7aZNm4ZVq1bV65gqlQpKpRJFRUW0wpEQ4pRWr16NLVu2wNfXF8uWLYNcLhc6JJeh0Wjw0EMPAQC85Vr8b/i1Bh/DwIBN58JwNNmYOH/xxRcICwuzdKjEDA3JJWiokRBiVQaDAWvWrMHnn3+O7OxsocNxScnJyQCMowY3b94UNhjSYCIOeLhdBhr7l0Kj0WD58uVCh0TM4FCJV3JyMhhjdX7Vt7eLEGJ9t27dwubNm3HgwAHs3r1b6HBc3sWLF4UOgdwDEQdMjE8HB4a///6bin87MIdKvAghjken0/Hf07J44Z08eVLoEMg9CvKsQKvgYgDAkSNHBI6G3CtKvAghNpOZmSl0CC7v2rVruH37ttBhkHvUOtSYeJ07d07gSMi9osSLEGIzt2/frtIDRoSxY8cOoUMg96ixfykA4Pr166ioqBA4GnIvKPEihNiMTqej3hYBdYsqAAD89ts+pKenCxwNuRdBnhXwcdNCq9Xi7NmzQodD7gElXoQQm7p+/brQIbisOP9StAwuhk6nx5IlS/haiMRxcBwQH14EANi+fTscqCIU+QclXoQQm7py5YrQIbi0cW0zIRMbcOHCBWzevFnocMg96BeXB4nI+DuklcKOhxIvQohNnT9/nj6lCyjQowLj2hpXl65btw6HDx8WOCLSUH7uWtzX8g4AYOnS72grIQdDiRchxCa85VpIRAZkZ2fTPC+BdY8uRN9GeWCM4ZNPPsHx48eFDok0UP+4PHSPzofBwPDZZ59h1apVtHDFQVDiRQixCZnEgMYBxhVZVEtKeA+0yUSniELo9Xq8//572LNnj9AhkQbgOGBC+wwMbJwDANi6dSvmzZuHpKQkgSMjdaHEixBiM21DqfijvRBxwJQOt9EtqgAGA8PXX3+Nb7/9FlqtVujQSD2JOGBM6zuY0TkV7lIdbt68iblz52LZsmUoKSkROjxSA0q8CCE20z6sCCKOITExkYYb7YBYBEyKT8fIFsb5Qr/88gtefvllKjXhYOLDVXhtYCLiw4pgMBiwY8cOPPHEE9ixYwcl0naIEi9CiM14yfVoHmT8JH7gwAGBoyGAcchqWLMczOqWAnepDomJiXj22Wfx888/Q6/XCx2ew9Lr9bhz506VjeENDMgrlUJvhSoeSjcdZnRJw9M9khDqpUFxcTGWLVuGp556CocPH6YFLXaEEi9CiE11jzYW8dy/fz99GrcjrUOK8eqARDQNLEFFRQWWL1+OefPmITExUejQHFJubi5mzpyJp59+mr+tpEKKRb81Q2GZ1GrnbR5Uilf6J2J8u3R4ybXIysrChx9+iHnz5uHy5ctWOy+pP0q8CCE21SZEBW83LQoLC3Hs2DGhw3F6jDG+56quTg9fhQ5zeiRjfLt0uEn0SExMxAsvvICvvvoKBQUFNoiWWIJYBPSKLcDCwTcwovkdyCV6XL9+Ha+88go++eQT+l0KjBIvQohNiUVAz5h8AMY9A2kIxLrKy8uRkJAAANAbuDrbc5zxTfv1QTfQKaIQjDHs3bsXs2bNwsaNG6HRaKwdMrEQucSA4c1z8OagG+genQ8ODL///juefPJJHDp0iP72BEKJFyHE5nrH5kMiMuD69eu4dOmS0OGQaijddJjW6Tbm9r6FKB81ysrKsHbtWjzxxBPYvXs3DRM7EG83HSbFZ2Be35uIVJahtLQUn376KRYvXky/RwFQ4kUIsTkvuR5dowoBAFu2bBE2GFKrOH81Xux7C9M6psHPvQIFBQX45ptv8OSTT2L//v00Ad+BRPlq8GLfmxjZ/A44jmH//v149913KfmyMUq8CCGCGNgkFxwYTp8+TRO47ZyIAzpFFuH1gTcwrk0GvORa3LlzB1988QWeeuopHDp0iBIwByEWAcOa5+DJbimQiQ04c+YMvv/+e6HDcimUeBFCBBHoUYGOEUUAgA0bNggcDakPqZihb1w+Fg6+jvtbZcFDpkNGRgY+/fRTzJkzB3/++ScMBivUSiAW1yK4BDO6pAIAdu/ejYyMDIEjch2UeBFCBDO0WQ44MPz111+4efOm0OGQepJLGAY1ycWiwdcxqsUduEt1uH37Nj766CM888wzOHr0KE3cdgCtgkvQPLAEjDGcOnVK6HBcBiVehBDBhHiVo8M/vV4//vijwNGQhnKTGjC0WQ4WDbmOkc3vQCHVIzU1Fe+//z5eeOEFnDlzRugQSR0UMuMQMc3zsh1KvAghghreLJvv9aK5Xo5JITVgWPMcLBp8DcOaZUP+Tw2whQsX4o033qCNm+1UTqkMF7O8AADNmzcXOBrXQYkXIcRqGGOoqKj45/vq2wR7VaBTZCEAYN26dTaKjFiDu8yAkS2ysXDwdfSLy4WYYzh79izmzn0OX3/9NW3cbEcKyyT49ng0tHoR2rRpg5YtWwodksugxIsQYjXl5eVYsGBBne2GN8uBiDPOM7l69aoNIiPW5CXX48E2WXh90HXEhxfBYGDYs2cPZs+ejSNHjggdnstLzHXHR3/EIbtEjoCAALz44ovguLqL6xLLoMSLECK4QM8KdKFeL6cT4KHFjM5peLbXLYR4aVBUVIQPPvgAn3zyCcrKyoQOz+VotCJsPR+CxUdiodJIERkZiffffx/+/v5Ch+ZSKPEihNiFoc2yIfpnaIqq2TuXJgFqvNL/Job98zv+/fff8fLLLyM3N1fo0FyCgQEnUnzwzv4m+P1WABg4DBw4EB9//DGCg4OFDs/lUOJFCLELAR5adI82bt67fv16gaMhliYRMYxskY1neibBW65FcnIyXn31VeTl5QkdmtNiDDiX4YX3DzbGuoQIqMqlCA0NxaJFizB37ly4u7sLHaJLosSLEGI3hjTNgZhjOH/+PC5cuCB0OMQKGgeo8UKfWwjwKMedO3fw3nvvQafTCR2WUzH8k3B9+Hsclp+MRmaxGzw8PPDoo49iyZIl6Nixo9AhujRKvAghdsPPXYseMfkAgLVr11IRTjPo9XrcuXMH2dnZ/G2lFWLklUqhF7i4vL+HFk/3SIZCqse1a9ewf/9+YQNyEgYGJKR744NDxoTrdpECCjc3PPzww1i+fDkeeOABSKVSocN0eRKhAyCEkMqGNM3B8RRfXL58GQkJCejQoYPQITmk3NxczJw5s8ptu66GYNfVECwafA3+HsIWzAzw0GJYs2xsuxiK3377DcOGDRM0HkemNwBn0pXYdz0QWcVuAACFQoFRo0bh/vvvh1KpFDhCUhklXoQQu+Kj0KF3bD4O3QzADz/8gPj4eFrq7qRahxRj28VQJCcnCx2KQ9IbgFO3fbD3WiBySuUAAA8PD9x///0YNWoUvLy8BI6QVIcSL0KI3RncNAdHk/2QmJiI48ePo0ePHkKHRKxAozPOdpHJZAJH4lhMQ4q7rwYju8SYcHl5eWHs2LEYOXIkTZq3c5R4EULsjpdcj/5xudh7PQhr1qxB165dIRaLhQ6LWNixZD8AQKtWrQSOxHFcy/HA9oshuF2kAGBMuB588EGMGDECCoVC4OhIfVDiRQixSwOb5OJosh/S09Px66+/YuTIkUKHRCzoSrYnjiX7AgDuv/9+gaOxf7mlUvx0IRQXsrwBAO7u7hg7dixGjx5NPVwOhhIvQohdUkgNGN48G5vPh2HdunXo06cPzVlxEkn5Cqw4GQkGDkOGDEGbNm2EDslu6Q3A/huB2HstEFqDCCKRCCNGjMCECRNo0ryDosSLEGK3esbk40iSHzKLgR9++AFPPfWU0CERM12644kVJ6NQoRehbdu2mDVrltAh2a1MlRxrTkfww4pt27bF7NmzERkZKXBkxByUeBFC7JZYBDzULgOLjzTCr7/+iv79+6NFixZCh0XuAWPAgcQA7LgcDMY4tG/fHq+99hpNrK8GY8CxFF9sPR8KrUEELy8vzJw5E/3796cVvk6ACqgSQuxakwA1ukUVgDGGL774AuXl5UKHRBqotEKMZX9F4edLIWDMOLz45ptv0mTwamj1HNYlhGPD2XBoDSJ06NABS5YswYABAyjpchLU40UIsXtjWmfhcrYn0tPTsWrVKhqeciC38hRYdSoSBWUySCQSPPHEExg2bBglEdUwJag38zwgEnGYOnUaxo4dC5GI+kicCSVexOmdOXMGZWVl6N69O72AOSgPmR6T4tPx7fEY7Nq1C+3bt0fXrl2FDovUwsCA/TcC8MuVYBgYh9DQULz88sto3Lix0KHZJZVGgq+OxSBT5QZ3d3e88sortGuDk6J3IeLUMjIysHDhQrz//vu06bKDaxVcgv5xuQCAzz77FBkZGQJHRGqirhBh6Yko7LwcAgPj0LdvX3z++eeUdNWguFyMxUeMSZefnx8++OADSrqcGCVexKlV3iBYpVIJGAmxhNGt7iDWT43SUjX+97//Qa1WCx0S+Y87xTJ8/EccLt3xhkwmxZw5c/Diiy9SrakalGlF+PpYDO6UuCEgIADvvfceYmJihA6LWBElXsSp0Ruzc5GIGB7rnApvNy1SU1Px4YcfQq/XCx0W+UdyvgKf/tkIOaVyBAYG4sMPP8LQoUNpPlcN9AZg5d+RuF2kgFKpxLvvvouwsDChwyJWRokXcWolJSVCh0AsTKnQYVbXFEjFBpw+fRpLliwBY0zosFxeaoEblhyLgVorQbNmzfDpp58iLi5O6LDs2q4rwbiS7QWZTIaFCxciPDxc6JCIDVDiRZwaJV7OKcpXg0c7pYHjGH777TesXr1a6JBcWmGZBN+eiIZGJ0abNm3w7rvvwsfHR+iw7NrFLE/svxEIAJg7dy6aNGkicETEVijxIk6N5nU5rzahxZjYzjjBfuvWrdi4caPAEbkmxoB1CeEoLpciJiYGr7/+Otzc3IQOy66ptWKsT4gAANx3333o3bu3wBERW6LEizg1SrycW/eYAoxtnQkAWLt2LbZs2SJwRK7nSrYnrmZ7QSqV4tVXX6VJ9PWw73ogissliIyMxPTp04UOh9gYJV7EqRUWFgodArGyAY3zMKrFHQDA6tWrsXXrVoEjci1HkvwAACNGjKA5SvV0NsO4ufUzzzxDWya5IEq8iFOjxMs1DG2WgxHNjcnXqlWrsHnzZoEjcg0GBlzL8QAADBgwQOBoHEu/fv1o31EXRYkXcWoFBQVCh0BsZHjzHIz8J/las2YNzfmygZJyCSr0YnAch+joaKHDcRgcB0ycOFHoMIhAKPEiTstgMFDi5WKGNc/hhx3Xrl2LH3/8UeCInJv+nyoeIpGItuNqgPbt46lelwujvxTitFQqFRXXdEFDm+VgdMssAMD69esp+bIiD5nx70uv16O4uFjgaBxHr169hA6BCIgSL+K0cnNzhQ6BCGRw01yMaWVc7bh+/Xqa82UlMjGDn6ICAJCSkiJwNI6jVatWQodABESJF3FaeXl5QodABDSwSR7u+6fna82aNdi1a5fAETmnSJ8yAMDVq1cFjsRxSCQSoUMgAqLEizitnJycKv//888/BYqECGVI01wMa2bcKH3p0qU4fPiwwBE5n1g/436o165dEzgSQhwDJV7Eaf13qPHEiRN3JWPE+Y1ono3esXlgjOGzzz6jnhkLi/Y19njdunVL4EgIcQyUeBGnlZ2dfddtWVlZAkRChMRxwLi2mWgTooJWq8X//vc/5OfnCx2W0wj2Kgdg7GHWarUCR0OI/aPEizit6nq3MjMzBYjEddnLG7GIA6Z1uo1Qbw0KCwvx0UcfwWAwCB2WU3CX/rtyWKPRCBgJIY6BEi/itKrr8UpLSxMgEtdlTyUG5BIDZnZJhUxswMWLF7Fjxw6hQ3IKGp2Y/14ulwsYCSGOgRIv4pS0Wi1fPLVyYcfk5GSBInJNRUVFQodQRZBnBb+p9rp162jlqwWkFCgAAEFBQbTvICH1QIkXcUp5ecbJ1BzHgeM4/vabN2+CMSZgZK7FHvfK7BlTgFi/Umg0Gqxbt07ocBzeX6k+AIAOHToIGwghDoISL+KUTPO7/vsJvLi4GBkZGUKE5JLsccsmjgPGtjYusjh48CAV2jVDcoECCelKAMDw4cMFjoYQx0CJF3FKNSVeAHDx4kVbh+Ny9Ho97ty5U2VOnd4A5JVKobeDOe2xfmVo7F8KvV6PAwcOCB2OQyrTirDmVAQYOPTr1w+NGjUSOiRCHAIlXsQpmebuVE68gj2NK64SEhIEicmV5ObmYubMmVWqxRdq5Fj0WzMUlkkFjOxfXaOMvXFHjhwROBLHU6HnsOyvKOSUyhEYGIjHH39c6JAIcRiUeBGnZBo+kkr/fZNvEVwCwJh42UuZAyKcViHGFZfJycl2ORfNXpXrOCw7EY0buZ5QKBRYsGABvL29hQ6LEIdBiRdxSqYCmZV7vKJ9yuAl10KtVuPcuXNChUbshJdcjyBPY/FP2uC5flQaCb48GourOZ5wc3PDm2++ibi4OKHDsntDhw7FN998g6FDh4LjOCrg6+Io8SJOyTSpu3KPF8cxtA9TAaB9G4lRoIcx8aIdDeqWVuiGj/9ohJQCd3h5eeGdd95B69athQ7LIYwZMwYREREYM2YMGGPV1hgkroMSL+KUTENHlRMvAOgcabz96NGjKC0ttXFUxN64S40z/em5ULu/Un3w2Z+NUFAmQ3h4OD7++GM0b95c6LAcxvbt23H79m1s374dHMchKChI6JCIgCRCB0CINahUxp4tiaTqUzzGtwwhXhpkFRtLCdx3331ChEfsTOUiu+RfWj2HLedDcSzFDwDQqVMnvPjii/D09BQ4Mseyb98+7N27FxzHgTEGPz8/oUMiAqJXG+J0tFotysrKANydeHEc0DvWOL9i165d0Ov1dz2euA611vgSqFAoBI7E/uSUyPDpn41wLMUPHMdh0qRJeOONNyjpugemos1UvJkAlHgRJ1RSUsJ/LxaL77q/a1Qh3KU6ZGRk4MSJE7YMjdiZfLVx8YW/v7/AkdiXcxle+PD3ONwuUkCpVOKtt97CxIkTqWewAUwf/gj5L/orIk7H9IInEomqbBdkIpcY0KeRsddrw4YNMBjsoKInsTmtnkN2iTHxioyMFDga+2BgwM+XgrH8ZDQ0OjFatmyJL774AvHx8UKH5nBoX1hSE0q8iNMxJV7V9XaZ9IvLg0KiR3JyMq1wtAJHGFK5XeQGPRPB29ubJjsDUFeI8O3xaOy/EQjAuBLvf//7H/UG3qObN28KHQKxU5R4Eaej0Rgr1ItEIjDGKs2v+LeNh0yPgU2MRVbXrFmD8vJym8fpzByhIOm1bONcpVatWlXbM+pK8tVSfHa4Ea5ke0Emk+Gll17CY489dtccSVJ/N27cEDoEYqco8SJOR6fTATAmXgaDgR9K1Bmqvrn2j8uFr6ICOTk5+Omnn2wepzNLTU0VOoQ6XcjyAgB07NhR4Eiso74LRzJVcnz6ZyNkFbvB398fH374Ifr06WPl6JybXq9HYmKi0GEQO0WJF3E6pu2A6urFkEkY7m9lLJy5efNmZGRkWD02V2HvleBzS6VILXSHSCRCly5dhA7HKtLT0+tsk6mSY/GRWBRppIiKisLHH39Mlegt4MaNG9SLTmpEiRdxOqYervoMH3UIV6F5UDG0Wi2+/PJLmmhvIfaeeJ1M9QUAtG3bFr6+vgJHYx119bjklUrx1dEYlFRI0LhxY7z33nsICAiwUXTOLSEhQegQiB2jxIs4nYZM7OY4YHy7DMjEBly8eBG7d++2YmSugTGGpKQkocOokd4AHE8xJluDBg0SOBrruX79eo33VehF+O6vaKjKpYiOjsbbb79NG11b0JkzZ4QOgdgxSryI02noROkADy1G/zPkuHLlSqSlpVkjLJeRnZ3N7xxgj85leqNQI4VSqUSPHj2EDscqDAYDrl69WuP9u64EIVPlBj8/PyxatAheXl42jM65qVSqWpNeQijxIk7HlHg1pOerd2w+mgeWoKKiAh9//DE/T4w0XG1v+EJjDHy5hBEjRty1l6ezSEpKqlJI+L/OZyohEnF4+eWXaXjRwk6dOgWDwQC5XC50KMROUeJFnI6pfldDEi8RB0zpcBueMh1u3bqFFStWWCs8p3f58mWhQ6jR5WxPpBUqIJfLMXLkSKHDsZq///67zjZjxz6AVq1a2SAa12LaDYOGbklNKPEiTudeEi8AUCp0mNLhNgDjPo5HjhyxeGyuwF4TLwMDfrkcDAAYPnw4lEqlwBFZz8mTJ2u9X6lUYsKECTaKxnWUlZXh9OnTACjxIjWjxIs4HVPRx3upnt4qpASDmuQAABZ/8QXN92oglUplt1ulnLmtRFqRAgqFAuPGjRM6HKvJzs6us3jniBEj4ObmZqOIXMepU6dQUVEBuVxOG6+TGlHiRZyOTGbcf+9et60Z1eIOGvuXokyjwf/+9z+o1WpLhufULly4AODf34G9KNdx+PlyCADgwQcfdOrerqNHjwIA3N3d+duGDh2Kb775BkOHDgXHcWjRooVQ4Tm1P/74AwDg6+vr8rshkJpR4kWcjmnC9L3W5BKLgBldUuGj0CI9PR0ff/xxvauAu7pz584BADw9PQWOpKpfrwWhsEyKoKAgjBkzRuhwrOr3338HAPj4+PC3jRkzBhERERgzZgwYY3a96tRRFRcX88OMtL8lqQ0lXsTpmNvjBQBecj0e75ICqciAv//+G2vXrrVUeE7t7NmzAGBX5QnSCt1wMNG4cm/WrFlOvdosJSUFt27dAsdxVXr1tm/fjtu3b2P79u3gOI42BbeCP//8EzqdDgqFgoYZSa1oB1TidExzvMytQh/lq8HE+HSsOR2JLVu2IDIyEgMGDLBEiE4pMzMTmZmZ4DgOHh4eQocDANDqOaw9Ew4D49CzZ0+n3R7IZN++fQCMk+crb3C9b98+7N27FxzHgTEGPz8/oUJ0Wvv37wcAKs9B6kQ9XsTpmIYaGWNm9XoBQOfIIgz+Z7L9l19+iStXrpgdn7MylTDw9PTkV5YK7ZcrQchQKeDt7Y1Zs2YJHY5VVVRU4NChQwCAwMDAKveZ/g7M/Xsg1UtMTERiYiI4jqOkltSJEi/idCp/0reEUS3voG2oCjqdDv/73/+QlZVl0eM7C1PiZS8T169ke+JAojEBmTNnjtPuyWjy559/ori4GDKZjEoZ2Nivv/4KwDip3lmL8hLLocSLOB2R6N+ntSU+4Ys4YGrHNEQoy1BUVIS3334bpaWlZh/XmZSUlPArGitP6hZKQZkEa05FADDW7OrevbvAEVkXYwy7du0CYOztohV1tlNSUsIvaPhvTyMh1aHEizgdSydeACCXMMzqlgKlmxZpaWn44IMPaKVjJadOnYJer4ebm5vg9aG0eg4rTkahpEKCRo0a4bHHHhM0Hlu4dOkSbt68CY7jaI6Rje3btw/l5eVQKBR2t5qX2CdKvIjTqZxsWfKTv49Ch1ndUiATG5CQkIDvvvuO5sz8w1Q7SujhPMaAjefCkFzgDk9PT8yfP9+pVzGabNu2DYBxYjcNddmOTqfDzp07AQBBQUHU00jqhRIv4nTMXc1Ym0gfDaZ1SgMHhj179vAvuq5MrVbz9YuETrwOJvrjr1RffgPokJAQQeOxheTkZH6LoODgYIGjcS2HDx9Gbm4uJBIJ1e4i9UaJF3E6Wq2W/94an0Dbhhbj/lbGCfbff78cp06dsvg5HMnRo0eh1Wrh5uYmaP2icxle+PmSMdF67LGZiI+PFywWW9q8eTMAY9Ir9DCvKzEYDNiyZQsAY8JbeYoDIbWhZwpxOhqNBoBxrpe1uv4HNM5D9+h8GAwMH330kUvv6WgqYeDv7y/YUEtSvgKrT0eCgcPw4cNx3333CRKHrd2+fZvfzD00NFTgaFzLiRMnkJqaCrFYTJPqSYNQ4kWcjmlvRWvWkuI44OF2mYjzL4VarcY777yDkpISq53PXmVlZfGrGYWqX5RdIsN3J6Kh1YvQqVMnzJo1y2Xm2mzcuBEGgwE+Pj5V9mYk1mUwGPDjjz8CMM7tsnQJG+LcKPEiTse0D521XwwlIobHuqTCz70CmZmZ+PDDD11upeNvv/0GAPD29hZkEnuRRoIlx2JQWiFB48aN8fLLL9tN8VZrS01N5Tdlpt4u2zp69CiSk5MhFotpXh1pMEq8iNMpLCwEYP3EC/hnT8euqfxKx3Xr1ln9nPZCq9XyiZcQJQzUFSJ8cywa+WoZQkNDsXDhQpfaI2/dunVgjMHHx8dutmhyBTqdjv87Dw4Opt4u0mCUeBGnk52dDeDfzbKtLUKpwaT4dADGic7Hjx+3yXmFdvToURQUFEAqldq8aGqFnsOyv6KRrlLAx8cHb7/9tl0UbrWVxMREHDt2DAAQHh4ucDSu5bfffkN6ejokEgn1dpF7Ynbi1bhxY3zwwQf8mx0hQrtz5w4A2yVeANAxogj94nIBAF988YXTbyvEGONLaQQGBtp0RZfeAKz6OxKJeR5wd3fH22+/7RJlIypbs2YNAOO8Olfq5ROaWq3me7vCwsJcZlibWJbZr5a3bt3Ca6+9hsjISDz88MP8Du2ECOX27dsAYPM3pDGtshDjq0ZpaSk+/vhj6HQ6m57fli5duoTr16+D4zibruhiDNhwNhwXsrwhlUrxxhtvIDY21mbntwfnzp1DQkICOI6j3i4b27hxI4qKiiCXy2mHAHLPzE68FixYgLCwMGi1WmzZsgVDhw5F48aN8eGHH1IvGLE5g8GA1NRUALB5TSOxCHi0cxoUUj2uXbuG9evX2/T8trR161YAtq+UvuNyME5UKpDaunVrm53bHhgMBqxatQqAsafRFary24v09HTs2LEDABAZGUl1u8g9M/uZ88477yAlJQU7duzAyJEjIRKJcOvWLcyfPx+RkZEYP3489YIRm8nIyEBpaSk4jhOkmKSfuxYT2xvne23dugVXrlyxeQzWduPGDb5orC3nuBxK9Mf+G8betTlznkG3bt1sdm57ceTIESQmJkIkEtFKRhtijOG7776DTqeDt7c3lEql0CERB2aRlF0kEmHUqFHYuXMnUlJS8NZbbyEqKgparRabN2+mXjBiM9evXwcAuLu7C/aJND5chS6RBTAYGD7//HOUl5cLEoe1bNiwAYCxYKqtktvTt73x00VjojF16lQMHjzYJue1J1qtlp/bFRISQnsy2tDRo0f54d2oqCiXqRNHrMPi70xhYWF44403cOvWLezZswdjx46FRCKhXjBiE+fPnwcAeHl5CRrHg20yoXTTIiMjg09UnMHVq1f5fQHr2+MydOhQfPPNNxg6dCg4jkORpmHL72/kumPtmUgAwKhRozBu3LiGBe0k9uzZgzt37kAqldJqOhsqKSnB0qVLARgTXtqWiZjLal0CHMdh6NCh2Lp1K5KSktCnTx8wxqrMBWvWrBmWLl3qckUniXUwxnDu3DkAwide7jIDHm6XAQD46aefkJKSImg8lsAY43tcAgIC6v0GNGbMGERERGDMmDFgjCFfXf+emqxiOZb9FQ2dgUOPHj0wc+ZMl+xtKC0t5RN4Wk1nW6tXr0ZBQQHkcjkN7xKLsOpYTGpqKhYuXIiuXbvi8OHDAIwJWfv27SEWi3Hjxg08+eST6NatG3JycqwZCnEBSUlJyM3NhUgkgqenp9DhoG1oMdqEqGAwGLB06VIwxoQOySwnT57EhQsXwHFcg96Atm/fjtu3b2P79u3gOA5+7tq6HwSguFyMb49Ho0wrRosWLfDCCy+4bMKxdetWFBcXw83NjVbT2dCFCxfw66+/AgCio6NpQj2xCIs/i/R6PbZv344RI0YgLi4O7777LtLT0+Hn54cXX3wR169fx+nTp5GWloY333wTHh4eOHPmDObPn2/pUIiLOXHiBADj9jX28gb9YJtMSEUGnD9/Hn///bfQ4dwzrVaLlStXAjBOqG/Iarp9+/bhySefxL59+8AYg9Kt7jIbWj2H5X9FIe+fqvQLFixw2RV8eXl5+PnnnwEYi6W6Yo+fEDQaDb788ksAxhWk3t7eAkdEnIXF9jpITk7GsmXLsHLlSty5c4f/dN+jRw88+eSTeOihh6oUtAwODsaiRYswatQodOnSBXv27LFUKMQFMcbw559/AoBdVTD399CiX1wefrsRiFWrVqFjx452kxQ2xM6dO/lq3Q0dbjG9FtS3x48xYOO5MNzK94CHhzveeOMNl15F9uOPP6KiogIeHh529dx2dqtXr0ZmZiakUikiIiKEDoc4EbMTry1btmDp0qU4ePAgGGNgjMHb2xuTJ0/Gk08+WWednU6dOiEkJMTpK30T67px4wbS09MhEong6+srdDhVDG6ag6PJvkhLS8Phw4fRr18/oUNqkLy8PPz4448AgIiICKsnjn8m+eEvvlbXK4iMjLTq+ezZ7du3+f0wIyIiqLfLRs6fP49du3YBAGJiYhzywxKxX2YnXg8//DD/fXx8PGbPno1JkyY1aNNWW27tQpyTaZWsj4+P3b1IKqQGDGich11XgrFx40b06dPHoeaKLFu2DBqNBh4eHvD397fquW7lKfDTBWOP2rRp09GhQwerns/erV27FgaDAUqlUvAFI66itLQUn332GQDjEKMr97YS6zD71d/NzQ3Tpk3DiRMncPr0aTz++OMNSroA4zAlrWwk96qsrAy///47ANjtxOM+jfLgJtHj9u3bDjXX6+TJkzh69CgA4+Ria/a4lFaIsfJUFAyMQ8+ePTF27FirncsR3Lx5k7/2tDWQ7SxduhS5ubmQy+U0xEiswuwer4yMDJp3QAR16NAhlJWVQS6X222vgEJqQK/YfOy/EYidO3eia9euQodUJ7VajW+++QaAcU6mu7u71c7FGLD2TDgKy6QIDw/Hs88+6/LDaqbNmP38/Kx67cm/jh49ioMHDwKgIUZiPWb3eFHSRYRkMBj4/dOCgoLs+s26V0w+OBhrjZk28rZnq1at4j/5h4WFWfVcR5N9cTHLGxKJBK+88orLJxrXr1/ne0atfe2JUV5eHpYsWQLAWBzYXj/EEcdnduKVnZ2NxYsX85Nva7Nu3TosXrwYubm55p6WEADAqVOnkJ6eDrFYbLfDjCb+Hlq0DC4GABw4cEDgaGp37tw5fqVxdHS0VT/555ZKse2iaV7XNMTGxlrtXI7CtMG6LbdlcmUGgwGff/45iouL4e7uToVSiVWZnXitXbsWzz//PBITE+tse+7cOTz//PP8iwoh5mCMYdOmTQCMk2AdYVigW3QhAOPwqMFgEDaYGqjVanzxxRcArF+/iDHgx7PhqNCL0Lp1a4wePdpq53IUplqHQP23ZSLm2bFjB86ePQuRSITY2FiHWvxCHI/Zzy7TMM+DDz5YZ9tHHnkEjDG+GCAh5rhw4QKuXbsGjuMcZu+6VsHFUEj0yMvLw+XLl4UOp1rLly9HTk6OTSYX/53mg+s5npDJZHj22WfpDQ/CbELuypKSkrB69WoAxpIdCoVC4IiIszP7Ve7mzZvgOA5NmjSps22zZs3AcRxu3rxp7mmJi2OM8T2nAQEBkErrv/+fkKRihjahKgDA8ePHBY7mbidOnODrRll7cnGZVoTtl4wJ84QJE6h3B8CtW7f4uV10PayvoqICn3zyCXQ6HZRKJQIDA4UOibgAsxOvnJwc+Pj41OuNTyaTwcfHB3fu3DH3tMTFnTt3DpcuXWrwvoH2oF2YMfE6ceKEXe3fWFBQgK+++gqAcRWjtScX/3YjEMXlUoSFhWHMmDFWPZej2LJlCwDjSkbq7bK+H374ASkpKZBIJIiJibHrxTnEeZideHl5eaGoqAgajabOthqNBiqVyuVXLBHzMMbwww8/ADDOQXK0ArzNAksgERmQnZ1tN6sbGWNYvHgxioqKoFAorF43qkgjwe+JxmKsM2bMcJgeS2vKyMjg63aFhIQIHI3zO3/+PLZv3w7A2LtLz0FiK2YnXq1atYLBYOC3V6jNzp07odfr0bx5c3NPS1zYiRMncP36dYhEohp7uxhjKC8vR3l5OX9bSbkYeaVS6AWe0y6XMDTyVwMw9tzZgz179uDUqVPgOM4mk4v3Xw+A1iBC8+bN0aVLF6uey1Fs27aNr1JPH06tq7S0FJ9//jkA44c3KotEbMnsV9fRo0eDMYZ58+YhIyOjxnbp6emYN28eOI6jYQVyz/R6PT8RNjg4uMZPqRUVFbhw4UKVCew/Xw7Dot+aobBM+E+2TQNKARg/dQstLS0N33//PQBjhXRrv+mrtWIcS/EDAEycOJGGdwAUFhbyhTupt8v6vv/+e5stICHkv8xOvGbPno2IiAikpaWhffv2+Oyzz3Djxg1UVFSgoqICN27cwKeffor4+HikpaUhPDwcTz31lCViJy5o3759SE9Ph0QicZiVjNVp/E/idfXqVUHneWm1WnzyySeoqKiAl5eXTa7p6dtKVOhFaNSoEeLj461+Pkewe/duVFRUwMPDA56enkKH49ROnTplswUkhFTH7C2D3N3dsX37dgwbNgy5ubmYN28e5s2bd1c7xhgCAgKwY8eOBu/lSAhgrC9l2kYlNDQUEonZT1/BRPqUQcQxFBQUICcnB0FBQYLEsX79ety8eRNisRixsbE26X06lWbcdHj06NHU2wWgvLwcv/zyCwBjLy5dE+tRq9V8dfqgoCCqTk8EYZGJHB06dMCZM2cwefJkSCQSMMaqfEmlUkydOhUJCQlo3769JU5JXNCWLVtQVFQEuVzu8Mu+ZWKGUC/jgpRbt24JEsPFixexdetWAMZP/rZapFBULoOHhwd69eplk/PZu0OHDkGlUkEmk8HX11focJza6tWr+W2waONxIhSLdRlERETghx9+wHfffYdTp04hKysLgLFnolOnTlSUjpjlzp07/AqkiIgIpyi0GabUIF2lQEpKCrp162bTc6vVanz22WdgjMHf39/mb/i9evWCXC636TntkcFg4AtK2/teo47u2rVrNtsGi5DaWHysxt3dHX369LH0YYmLW7lyJbRaLby8vJxmBVKwZwUA48ITW1u2bBmys7Mhk8kQFRVl8/P37t3b5ue0R2fOnMHt27chEokcvhfXnun1enz99df8Bw1rboNFSF0cv9uAOL0LFy7w9Y0iIyOdplfA38OYeNl60/iTJ09i//79AIDY2Fibf/JXKBRo1aqVTc9pr0xbrjnKXqOOat++fbh16xbEYjGtYiSCo8SL2DW9Xo+lS5cCML45OVN9I6WbFgCQn59vs3MWFxfbtDp9dZo1a+bQCyMsJSUlBQkJCQAg2OIKV1BaWoq1a9cCAMLCwqhQKhGcxRKvc+fO4YknnkDLli3h7e0NsVhc4xe96JL6+vXXX5GcnAyxWIywsDChw7EoD6keAFBSUmKzcy5btgwFBQVwc3MTbHIxFVA22rlzJwDAx8eH5rtZ0datW6FSqeDm5kbDucQuWCQD+uqrr/DCCy9Ar9fb1d5zxLEVFRXxWwOFh4c73SdVidj4t1JRUWGT850+fRqHDh0CYFzFKNQChbi4OEHOa0+Kior434Uj16Ozd/n5+fzihfDwcKdYlEMcn9nPwr/++gvPPfcc9Ho9nnrqKezevRuAcZPX/fv3Y+3atZg+fTpkMhkCAgKwfv16vkIzIbVZvXo1SktLoVAo6JOqmTQaDb7++msAxmEtIYt00hwbY09uRUUF3N3dqWCqFW3bto0vTOssi3KI4zO7x2vx4sVgjGHu3Ln49NNP+dtlMhkGDBgAAJg0aRKeffZZDB06FG+88QbOnDlj7mmJk7ty5QpfXToqKsppJtRXVq4zfu6xRamVjRs38qsYha5f5Gw9lw2l1Wr5vW2pYKr1FBUV8eUjwsLC6DoTu2F2j9fRo0fBcRyee+65Krf/d8ixffv2+PLLL3Hz5k189NFH5p6WODHT0m8ACAgIcNrq0iqN8XOPtZe2p6Wl8TXQoqKiaPWcwP744w8UFhZCKpVSwVQr+vXXX1FeXg53d3cqH0HsitmJ1507dyCXyxEdHf3vQUUiaDSau9qOHTsWUqkUP/30k7mnJU5s586d/IR6oXtnrCmn1FgpPjQ01KrnWbFiBXQ6HZRKJQ23CIwxxifBQUFBNOfISnQ6HT/thXoVib0x+6/e3d39rqEDLy8vqFQqlJeXV7ldKpXC3d0dKSkp5p6WOKns7Gx+6XdERIRTD0ulFhhLY1izgOnZs2dx6tQpcByHyMhIq52H1E9CQgJSUlKoYKqVnTp1Cvn5+ZBIJNSrSOyO2YlXeHg4SkpKoFKp+NtMq5b+/vvvKm0zMjJQVFREKx9JtRhj+O6771BeXg5PT08EBAQIHZLVMAYk5hkTrxYtWljpHAwrV64EYKyB5ubmZpXzkPrbtm0bAOMQOpXVsZ4DBw4AAPz9/alXkdgds5+Rbdu2BWDcB8ukX79+YIzh7bff5occKyoq8OyzzwIA2rRpY+5piRM6duwYTp48CY7jEB0d7dTDA2lFbigok0Eul6N169ZWOcfx48dx69YtiEQiqw9nkrrdunULZ8+eBUAlJKxJrVbj1KlTAODUH96I4zI78Ro1ahQYY9i4cSN/29NPPw25XI4DBw4gIiICPXv2RHh4OLZt2waO4zBnzhxzT0ucTElJCb777jsAQEhIiNNvqn4ixTj80alTJ6sUz2SM4ccffwRgfJN35iFbR2Ga2+rn50cFU63o9OnT0Ol0cHNzc/rXEeKYzE68RowYgYULF6JJkyb8bbGxsVi/fj28vLyQn5+P48ePIy8vDxzH4eWXX8bkyZPNPS1xMitWrOArqjt770xphRh/p/kAAIYPH26VcyQkJCA5ORkikYh6V+xAdnY2Dh8+DMD4wYJYz+nTpwEASqVS4EgIqZ7Zkwy8vb2xcOHCu24fO3Ys+vbti927dyMtLQ1KpRJDhgxB48aNzT0lcTJnz57la3ZFR0c7/ZyMQ4n+0OjEiImJsdqwu2nlHM0lsg8///wzDAYDvLy8nGq/UXt04cIFANYv00LIvbLqK7Kfnx+mTJlizVMQB1dWVoYvv/wSgHECuLPW7DLJV0tx8KZx3snEiROtkmRmZmbymy9Tb5fwSkpKsG/fPgDU22VteXl5yM7OBgDaEYDYLbNf9WNjYxEXF4fExERLxENczJo1a/iK6s6+lQxjwJbzodDqRWjVqhW6d+9ulfOY3uS9vb1pLpEd2LNnDzQaDRQKBfXCWFlSUhIAwM3NjQoFE7tlduKVmZmJnJwcGkIkDXbhwgV+65To6GirvVAOHToU33zzDYYOHQqO41CkEWbo7e80H1zI8oZEIsbs2bOtsmqTMYY///wTAK3osge0PZBtpaamArDNNlyE3CuzE6+wsDCqy0UaTKPR8EOMAQEBVp0IO2bMGERERGDMmDFgjCFfbfsVftklMmw+b1w0MHHiJMTExFjlPDdu3EB2djZEIhFNLrYDR44cQX5+PqRSKfz8/IQOx+mZhhmpp5fYM7MTr0GDBkGtVvNzSgipjzVr1iAzMxMymczqFdW3b9+O27dvY/v27eA4Dn7uWque77/KdRy+PxkJjU6MVq1a4cEHH7TauU6ePAnAuKKLhlqExRjDjh07AND2QLaSl5cHAJDJZAJHQkjNzH4lePXVV+Hh4YE5c+ZArVZbIibi5C5evIidO3cCsO4Qo8m+ffvw5JNPYt++fWCMQemms+r5KjMw4IfTEchQKaBUKvHyyy9b9ec1FeikuUTCu3btGhITE8FxHA372ojpPYhW8hJ7ZvazUyKR4LvvvsOsWbPQunVrPPPMM+jRoweCgoJqfYOx5v50xH5pNBosXrwYgPWHGE1MQ+FCDInvuhyMc5lKSCQSLFiwwKrDTRqNBjdu3ABAiZc9+OWXXwAYV3dTAVvbMO2UQr2LxJ6ZnXjFxsby35eWlmLevHl1PobjOOh0tut1IPZj7dq1yMzMhFQqdfpVjH/e8sNvN4wbIT/zzDNW25PRJDk5GQaDAVKplIZaBFZcXIyjR48CMA4zEtugxQvEEZideN1LLwJNxndNV69e5ee8xMTEOPVwQEK6N7b8M5l+ypQpGDBggNXPeevWLQCAu7s7vQEJ7Pfff4dWq4VCoaCCqTZkGmUxGAwCR0JIzcx+5zPVTSGkNlqtFosXLwZjDP7+/k694u5KtidWn4oEA4fhw4fj4Ycftsl5MzMzARhrGBFhHTx4EIBxOJ2SYNvx8PAAAOj1eoEjIaRmZide0dHRloiDOLnNmzcjLS0NEonE6qsYhXQrzx3L/oqCnnHo2bMnZs2aZbM3XtNSehpmFFZGRgZfUJpKSNiWj48PAOMHPULsFc1AJFaXlpaGzZs3AzAuqnDWIca0Qjd8eyIaWr0IHTp0wIsvvmjTkg4qlQoAaCK3wExzu7y9vel3YWOBgcY5lRUVFQJHQkjNKPEiVsUYwzfffAOdTgelUglfX1+hQ7KKrGI5vj4WgzKtsVbX/Pnzbf6mW1paCgBUv0tgplpqpt4XYjvh4eEAjHvAEmKvzO56WLNmzT09burUqeaemjiAw4cP48KFCxCJRIiKinLK+S55pVIsORqDkgoJGjdujDfffFOQeVamlcLOeI0dRUlJCa5duwaAEi8hmKa+lJWVgTFGfwvELpmdeE2fPr3BT26O4yjxcgFlZWX4/vvvAQAhISFOuY2HSiPGkmMxKNRIERkZiUWLFgm2io3eZIR36dIlMMbg5uZGc+0EEBERAYVCgbKyMpSVldGKUmKXzE686urFKCoqQmFhIQDjihOq4Ow6tm/fjvz8fMhkMoSEhAgdjsWVaUX45ngMckrlCAoKwjvvvCPoak3TGz0tpRfOlStXAACenp4CR+KaxGIxmjVrhrNnz6K4uJgSL2KXzE68kpOT62xz48YNvPvuu9i8eTM++OADmy2vJ8IpKCjATz/9BMD4KdTZKknrDBy+PxmF20XGrYDeeecd+Pv7CxqTqVo9FScWzs2bNwH8W9aA2F58fDzOnj0LlUqF4OBgocMh5C42eTds0qQJVq9ejUmTJmHq1Kn8fnLEeW3evBkajQYeHh5ON6GeMWDD2TBcy/GEm5sbFi1ahLCwMKHD4nvb7GEpvUwmQ5s2bdCyZUv+toCAACxfvtype71NH0Spp0U48fHxAIyrfIWs51Xd34C3t7fT/w2Qutl0Xf+iRYuwYsUKvPfee9i4caMtTy0o02qz6ojF4ioTsWtrKxKJoFAo7qmtWq2ucccAjuOqvFE0pG1ZWdldQ1v5+fn45ZdfoNPpEBYWxg9Fa7XaWnctqDwnxty2FRUVfM+PWCzmY9Dr9SgrN0AtqX44TiHj+LblWga94e4YDt7wx9FbXpBKObzyyito3LgxKioqak14FAoF3+tXV1s3Nzd+ZWJD2gYGBkKn06GkpKTa5fRisZhvq9fra31TskRbjuOqbA9mMBjg5+dXpa1pb73qVN76qCFtDQZDravaGtJWIpHwcxMZY/wmzNXRarX8tAqZTFZrSQOO46qserVW25p6P0tLS1FWVibYa0RllXsHG9JWo9FU+7wMDAxEQEAAcnNzUVRUBD8/vzpfT6RSKf93r9Ppao2hoW1N5XMMBgMMBgM8PT2rfS7b4jVCq9XW+vyRy+V8vA1pq9PpUF5eXmNbmUzGPy8b0tZarxGCYzbm6+vLgoODbX3aGhUVFTEArKioyGrnAFDj14gRI6q0dXd3r7Ft3759q7QNCAiosW2nTp2qtI2Ojq6xbcuWLau0bdmyZY1to6Ojq7Tt1KlTjW3lcjlbuHAhW7RoEVu0aFGtMUilUr7dokWLWJMmTWq9bpXb1hYvADZs2DA2atQoNmrUKBYREVFr21OfRbKk5TEsaXkMm9Lfq9a233//PX8d5s2bV2vbixcv8m0XLlxYa9uTJ0/ybT/88MNa2x46dIhv++yzz9badtKkSfw1u//++2tt+9BDD/FtH3rooVrb3n///XzbSZMm1dr2q6++4uM9dOhQrW0//PBDvu3Jkydrbbtw4UK+7cWLF2ttO2/ePL5tUlJSrW2feuopvm12dnatbceNG8dGjRrF7r//fvbaa6/V2rZly5ZVnsO1tW3SpEmVtlKptMa20dHRfLv58+czmUxWY1t7eI0ICAio0rZv3741tnV3d6/SdsSIEbVet1GjRrEpU6bU6zXitdde469bu3btam370ksv8W07d+5ca9vnnnuOvfHGG2zUqFGsUaNGtba1xWvEV199VWvbXbt28W1XrlxZa9tNmzbxbTdt2lRr25UrV/Jtd+3aVWtbW7xGWENDcgmb9nhpNBqoVCoqKugiRCKRU6+0s8X+iw1BwxfCMvU6OGuBYEdUVFRkF0PvhFTGMWa7Hau/+eYbPP3002jUqBG/pYbQVCoVlEolioqK+MnJluZKQ42HDh3CkiVLIJPJ0KpVqyolJGw51FheXo5Lly4BuHuo8bX+1+HnUf2LcU1DjToDh6+OxiCtUIGmTZvirbfegre3d72HBmwxjKDRaDBx4kRoNBo0b978rnlGth5qNP3/3LlzAICgoCAsX77c6sMIQg01JiQk4IMPPoC7uztatGhR6+/NFkON5eXlSEhIqLbdkiVLEBoa6pRDjSavv/46EhMTERERAX9/f0GGGiUSCRhjSEhIgMFg4Od4VYeGGu9u60hDjQ3JJcz+aJaamlrr/RqNBmlpadi6dStWrFgBjuMwduxYc0/rUBqywslabRsy2bchbSu/cAPAiRMnIJFIqq3b1ZCeTnPbMsaq7XkQi8VQyEVwl9e9rkQu5QAYX2B/vhSMzBIv+Ph44vXXX7+rOKZMJqv3H7W12rq5uaF169Y4e/YsysvLay3gWTlZqos5bfV6Pf97kEqlVX5XYrG43s/hhrQViURWactxXK1tTT+3aW5bQ17krdW2pt43Dw+Pu/52bfUaYam2dRUpHjZsGL766ivk5OQgODi43r3vDemxrE9bU3IoEokglUrr9Xyz1mvEf/8GLdVWIpHU+7o1pK21XiOEZnbiFRsbW++2jDG0atUKr7/+urmnJXaooKAA58+fBwDBSytY0q08BQ7cMA7jPfvss/x+cPaobdu2tJSeAPh3VZ1er8fly5cBAFOmTEG/fv1cYli6b9++WLFiBdRqNd8bQYg9MLucBGOsXl+NGjXC66+/jhMnTtAfgJM6c+YMGGNwd3d3mir1Wj2HdQkRYOAwYMAAdO/eXeiQatWhQwcAQHFxsaBL6V2R6TlvLwVsOY6DXC6v8rfo7e2N4OBgl9jP083NDYMHDwYA3LlzR+BoCPmX2T1eSUlJtZ9AIoGvry/VtXEBpvkkzpRYH7gRgOwSOXx8fPD4448LHU6dGjVqhMDAQOTk5EClUjldDTV7ZnqNo4TXftx3333YuXMnVCoV1Go1vQ8Ru2B24mXalJSQ69evAwC8vLwEjsQyCtRS7LthHFacOXOmQ2wDw3Ecunfvjh07dqCgoIASLxsyfeDQ6XS0QbOdCA4ORo8ePXDkyBFkZWWhUaNGQodEiG0q1xPnp1arkZmZCaBhE2Tt2c4rQdDqRWjVqhX69OkjdDj11q9fPwBAYWEh9b7YkGleo8FgoOtuRx588EEAxsLOta2mI8RWzE68KioqcP78eVy9erXOtlevXsX58+eprooTysrKAmAcWnaGOm0ZKjlOpfkAAB577DGH6r1o3LgxwsPDYTAYkJ+fL3Q4LkMmk/E9jPQGbz8aN26M9u3bA/j3dYoQIZmdeG3cuBHx8fH4/PPP62z7v//9D/Hx8diyZYu5pyV2xrRVijMkXQDw67UgMHDo0aMHmjRpInQ4DcJxHIYMGQIAyMnJETga1xIeHg4AtdYTIrb30EMPAQByc3Ppgz8RnNmJ19atWwEAjzzySJ1tH3vsMTDGKPFyQqZirs5QtTu7RIaz6cYCeBMnThQ4mnszcOBASCQSqNXqWgvtEsuKjIwEgFqLshLba9OmDZo1awbGGK1wJIIzO/G6ePEiAKBdu3Z1tu3YsSMA4MKFC+aeltgZ01CcDTdCsJpDif5g4NC5c2fExMQIHc49USqV6NWrFwAgOztb4Ghch6muYW0V7ontcRyHcePGATD+PdS0eTghtmB24pWRkQGlUlmvFV9eXl7w8fHhJ2ET52GqC2QviZepeGTLli352+5vmYFFg6/BR1HzUIO6QoS/0ozzdBx9h4X77rsPgHFScW1bfxDLiYuLA1D7ljpEGF26dEFkZCQMBgMNwRNBmZ14yWSyenerM8ZQVlbmUBOVSf2YJhXby/yJ6opHesr18PfQQlzLs/5kmi+0ehFiYmLQunVrG0RqPU2bNkXLli3BGKNeLxuJjY2FRCKpcz86YnsikYjv9bpz547dFLolrsfsxCs2NhYVFRU4fvx4nW2PHTuG8vJyqv3lhIKCggAYV7k66gsaY8DRZGMCOXz4cKf4gGDqtcvJyaESBzYglUr5Xi+aW2d/+vTpg4CAAOh0OlrxSwRjduI1ePBgMMbw6quv1jpurtPpMH/+/Corrojz8PX15QunOur8lpRCBbKK3SCTydC3b1+hw7GILl26ICIiAnq9nnq9bKRFixYAgJKSEoEjIf8lkUj4IfisrCwaDiaCMDvxevbZZ+Hm5oYjR45g0KBB/LYxlZ05cwYDBw7EkSNHIJfL8dxzz5l7WmJnOI5z+Decv1N9AADdu3d3mF3u6yISifgCktnZ2Q7bG+lITPMKHfXvwNkNHToUbm5u0Gg0KC4uFjoc4oLMTrwiIiLw3XffAQAOHz6MTp06ITw8HD169EDPnj0RFhaGzp074/Dhw+A4DkuXLkVUVJTZgRP706ZNGwD/1vRyJHoDcCbduOVL//79BY7Gsvr164fAwEBotVrk5uYKHY7TMyVeZWVldjPnkfzLw8OD/xunXmAiBItsGfTII49g586diI6OBmMMmZmZOHHiBI4fP8535zZq1Ai//PILpkyZYolTEjvUo0cPAMZP+o72hnM91xMlFRIolUq+yrWzkEgkfK9XVlYW9XpZmVKp5Ot5Ua+XfRo1ahQA44dEWvFLbM1i1S5HjBiBGzdu4NChQzh27Bi/NUNoaCh69OiB/v37QySirSGdWVBQEJo3b46rV68iJycHYWFhQodUb2duG3u7evTowZfGcCaDBw/Gxo0bUVBQgLy8PAQGBgodklNr06YN0tLSUFxcTBuV26GoqCi0aNECV65cQV5eHkJDQ4UOibgQi5YZF4vFGDRoEAYNGmTJwxIHMmLECD7xCgkJcYhkW28AzmcaFwb07t1b4GisQyaT4YEHHsD333+PrKwsBAQEOMWqTXvVpk0b7N69m+YQ2bEhQ4bwiVdISAj9PRCbsf93ReJQevXqBV9fX2i1WuTl5QkdTr3cyPWAWiuBj49PlYKrzmbYsGHw9vZGeXk5LaW3MlMNOJrnZb969OgBmUwGjUbjsCuxiWMyO/HKzs7G4sWL8eOPP9bZdt26dVi8eDFN8HViUqmU35A2IyPDIWpHncsw7svYtWtXpxxmNHFzc8P9998PAMjMzKSl9Fbk4+PDz/OiXi/75O7uji5dugAACgoKBI6GuBKzE6+1a9fi+eefR2JiYp1tz507h+effx7r168397TEjg0bNgxBQUHQarX8XD97ZWDA+Sxj4tW9e3eBo7G+kSNHwsPDAxqNxiFXnzoS0/61lHjZr549ewIwJl70QYTYitmJ144dOwCAXzVVm0ceeQSMMfz888/mnpbYMalUihkzZgAwrqKr75ZSQkgpUEClkUKhUKBt27ZCh2N1Hh4eGDFiBAAqIGltpucTJV72q2PHjpBKpSgvL4dGoxE6HOIizE68bt68CY7j0KRJkzrbNmvWDBzH4ebNm+aelti5Hj16oGPHjmCMISUlxW7f4M9nGnu7OnfuDKlUKnA0tjF69GjIZDKUlpZSUmBFrVu3Bsdx0Gg0VLLATikUCn4+XlFRkcDREFdhduKVk5MDHx+fer1pyWQy+Pj44M6dO+aeltg5juPw5JNPQqFQoKSkxG6HHE2JV7du3QSOxHZ8fHwwcOBAAKC/RSvy8vLi921UqVQCR0Nq0rFjRwD0OyK2Y3bi5eXlhaKionp102o0GqhUKri7u5t7WuIAgoOD8cQTTwAwTrS3t2KS2SUyZJfIIZFI0KFDB6HDsakxY8aA4zgUFRXZ9VCwo4uPjwdAb+r2zDQkXFJSQsWFiU2YnXi1atUKBoMBu3btqrPtzp07odfr0bx5c3NPSxzEwIED0bNnTzDGcOvWrVo3Ure1C//U7mrTpo3T7M1YX2FhYXwvH/V6WU/lxMteh9tdXXR0NLy8vGAwGKisBLEJsxOv0aNHgzGGefPmISMjo8Z26enpmDdvHjiOw5gxY8w9LXEQHMfhmWeeQWhoKCoqKnDr1i27eQO68M9qRtOSclczevRoAEBeXp5dJcTOpHnz5lAoFNDpdPSmbqdEIhGaNWsGACgtLRU4GuIKzE68Zs+ejYiICKSlpaF9+/b47LPPcOPGDVRUVKCiogI3btzAp59+ivj4eKSlpSE8PBxPPfWUJWInDsLDwwPz58+HTCaDSqXC7du3hQ4JJeVi3MozDnm7auLVqlUrNGrUCIwxqq1nJVKplB/Kosnb9ss0CkOJF7EFsxMvd3d3bN++Hf7+/sjNzcW8efP4T3kKhQLNmzfHSy+9hNzcXAQEBGDHjh0uN6xDgNjYWMydOxeAcWhL6Df6y3e8wMAhJiYGQUFBgsYiFI7j+NISOTk5dtMT6WxMiT3VTbNfplX5lHgRW7DIlkEdOnTAmTNnMHnyZEgkEjDGqnxJpVJMnToVCQkJaN++vSVOSRxQ7969MX78eABASkqKoKUMLt4xzu/q3LmzYDHYg759+8Ld3R3l5eVUWsJKOnfuDI7joFarqayEnTKtPi0vL3eI3TaIY7PYXo0RERH44YcfUFBQgN9//x0bNmzAhg0b8Mcff6CgoACrVq1CeHi4pU5HHNSkSZP4yfaJiYmCFC3UG4CrdzwBuO4wo4mbmxv69esHwNjrRSzP19eX3wOUtqaxT0qlEv7+/gBAc/GI1UksfUB3d3f06dPH0oclTkIkEuH5559Hbm4url27huvXr6NFixY2LV6alO+OMp0Y3t7e9Sr86+yGDBmC3bt3o7CwEDqdDhKJxV8WXF6vXr1w6dIl5OfnIzg4WOhwSDViY2ORl5eHsrIyeHl5CR0OcWIW6/EipL7kcjneeOMNfqXjjRs3bNq9f/mfYcYOHTo49abY9RUXF4eYmBgwxpCfny90OE6pZ8+eEIlEKC0tpa1p7FRsbCwAUF07YnUWS7zOnTuHJ554Ai1btoS3tzfEYnGNX/SJmiiVSixatAhKpRJqtRo3b960WfHCK9nGYUZXK5paG1Mle0q8rMPX15d/vgm9sIRULzo6GgANNRLrs0ji9dVXX6Fz5874/vvvcfXqVZSUlNw1wf6/X4SEhYXhzTffhFwuh0qlssmejsXlYtwuUgAALfSopHfv3uA4DiUlJSgvLxc6HKc0ePBgAMbEiyqk25+YmBgAxh4veo8i1mR24vXXX3/hueeeg16vx1NPPYXdu3cDAPz8/LB//36sXbsW06dPh0wmQ0BAANavX4+DBw+aHThxDk2bNsUrr7wCkUiEvLw8pKenW/V813OMpUxiYmLg6+tr1XM5En9/f7Rp0wYA9XpZS5cuXeDn5wedTkeT7O1QeHg4JBIJDAYDrT4lVmV24rV48WIwxvDcc8/hyy+/xLBhwwAYN8QeMGAAJk2ahBUrVuDEiRPgOA5vvPEGDfGQKjp37oynn34aAJCVlWXV1XU3co3DjKailuRfvXv3BkAr76xFIpHwr4937tyhXhU7I5FIaLiR2ITZidfRo0fBcRyee+65Krf/90Wlffv2+PLLL3Hz5k189NFH5p6WOJkhQ4Zg4sSJAIw1vqxVbDIx11it3tS7Q/7VvXt3iEQiqNVqGm60khEjRkAmk0GtVlPdNDtkqudFiRexJrMTrzt37kAul/OfFABjyYDqVu6MHTsWUqkUP/30k7mnJU5o4sSJ/DyYW7duWbyKdKlWgjslbgDA11Ui/1IqlXxCSr1e1qFUKjFo0CAAQGZmpsDRkP9q3LgxAKpgT6zLIlsG/bcGk5eXF1Qq1V2fmqVSKdzd3ZGSkmLuaYkT4jgOTz31FNq3bw+DwYDExESLzrVIyTdOqo+MjIS3t7fFjutMunfvDoASL2t68MEHIZFIUFxcTL1edqby1kE0FEysxezEKzw8HCUlJVCpVPxtpu7av//+u0rbjIwMFBUV0ROa1EgikeDVV19FVFQUtFotEhMTLVbjK63QmHg1a9bMIsdzRt26dQNgfOOhCcbWERQUxPfs3r59m14P7UhMTAzkcjn0ej3VWyNWY3biZZqkfO3aNf62fv36gTGGt99+m3/yVlRU4NlnnwVA82tI7Tw8PPDmm2/C29sbarUaycnJFnlzylXLARhXUpLq+fv784kpbepsPRMmTIBcLkdpaSn1LtoRiUSC5s2bAwD1RhKrMTvxGjVqFBhj2LhxI3/b008/DblcjgMHDiAiIgI9e/ZEeHg4tm3bBo7jMGfOHHNPS5xccHAwXnvtNUgkEhQUFCArK8tixzb1yJLqde3aFQAlXtbk5+eHsWPHAjD2elFdL/vRunVrAJR4EesxO/EaMWIEFi5cWGXPu9jYWKxfvx5eXl7Iz8/H8ePHkZeXB47j8PLLL2Py5Mnmnpa4gFatWmHWrFkAgPT0dBQVFZl9TJFIhKioKLOP48xMw43FxcXQ6XQCR+O8HnzwQQQEBKCiosKiHyyIeUyFlVUqFQ0DE6swe+8eb29vLFy48K7bx44di759+2L37t1IS0uDUqnEkCFD+FUjhNTH0KFDcf36dfz2229ISkpCy5YtIZPJ7vl4ISEhcHNzs2CEzicyMhLh4eFIT0+HSqWCn5+f0CE5JTc3Nzz66KP46KOPkJmZCT8/P3pu2oEmTZrA09MTJSUlKCkpoQ2zicVZdZNsPz8/TJkyBfPnz8dTTz1FSRdpMI7jMHv2bMTGxkKn0yEpKcmsT6GRkZEWjM550epG2+jduzfat28PxhhSU1Oph8UOiMVidOrUCQANtxPrsGriRYglyGQyvPzyy3Bzc0NxcbFZwzJhYWEWjMx5mYYbi4qKaP6RFXEchyeffBJSqRQqlQp5eXlCh0RQ9YMHJcPE0ijxIg4hIiKCn++VkZFxz5WlQ0NDLRmW02rSpAn8/f1hMBiqlIohlhcWFsbv2pCWlgatVitwRKRjx45QKBSoqKhASUmJ0OEQJ0OJF3EYAwcORJcuXcAYu+cSE0FBQVaIzPmIRCIabrShsWPHolGjRtDr9UhJSaFeFoHJ5XL06NEDAKgXklgcJV7EYZhKkXh6ekKtVuPOnTsNPkZAQIAVInNOvXr1AmCc50LDjdYlkUgwd+5cSCQSFBYWIj8/X+iQXN7AgQMBAPn5+RYr4kwIQIkXcTC+vr6YPn06AOOQY0Orq/v7+1shKufUokUL+Pn5Qa/X03CjDcTGxmLChAkAgNTUVNo5QGCtW7dGeHg4DAYDJcLEoijxIg5n8ODBaNGiBQwGA27fvt2gx3p4eFgpKucjEonQs2dPAKA3HhsZN24cmjZtCr1eb7EdG8i94TgOw4YNAwDcuXOHfhfEYijxIg5HJBLhiSeeAMdxyM/Pr/fk1+joaHAcZ+XonEufPn0AGIcbabjF+sRiMZ5//nnIZDKoVCrk5OQIHZJLGzx4MNzc3KDRaKjXl1gMJV7EITVu3Bj9+/cHYKxqXx9jxoyxYkTOqVmzZggNDYXBYKCaRjYSERHBD6ffvn2bNmsWkIeHB4YMGQIAtLsAsRhKvIjDmjRpEiQSCYqLi+v1aZR6uxqO4zj069cPAK3usqWRI0eiffv2MBgMZhcNJua5//77IRaLUVxcTKUliEVQ4kUcVnBwMAYPHgwAyMzMFDga5zVgwAAAxr3raMK3bYhEIjz33HPw8PBAaWkpPb8FFBQUhL59+wKg1xliGZR4EYc2btw4iEQiFBcXo7S0VOhwnFJISAjatGkDAMjNzRU4GtcREBCA2bNnAzC+4dPzWzjjx4+HSCRCUVER/R6I2SjxIg4tKCiInwB+L3W9SP0MGjQIgDHxomEv2+nbty969uzJFw2memrCCAsL43u96junlJCaUOJFHN79998PwFhh/b/brYhEInh6egIApFKpzWNzFj179oSHhwcqKipodZcNmfZyVCqVKCsrQ0ZGhtAhuayJEydCJBJBpVKhuLi43o8TiURo3ry5FSMjjoYSL+LwGjdujKZNm4IxdtdQGMdx/KR6mlx/7+RyOT/Xi0oc2JZSqcRTTz0FwLiyjoa6hBEaGsrPKU1PT693zy/HcRCJRPz3hFDiRZyCqdBhXl4eDYVZiekaFxYW0iR7G+vRowe/hRMNOQpn4sSJkMlkKCkpQVFRkdDhEAdFiRdxCj179oRMJoNGo6EeASuJioriJ9lTr5ftzZo1C15eXigrK6P5jALx9/fHfffdB6BhvV6EVEaJF3EK7u7u6NatGwDjXC9iHSNHjgRgTLyo18W2fHx88NhjjwEw7lNaXl4ucESuady4cfDw8EBZWRnVtiP3hBIv4jR69+4NwLivIH0StY5u3bohICAAOp2O9m8UwIABA9C2bVswxpCamip0OC7J09MTDz/8MABjAkwfQEhDUeJFnEaHDh2gUCig1WqhVquFDscpicViDB8+HACQnZ1NCa6NcRyH2bNnQyKRoKioiLZxEsjIkSMREBCAiooKZGdnCx0OcTCUeBGnIZPJ0KFDBwCgNyQrGjp0KKRSKdRqNW2hIoDIyEi+hEpaWhr1uAhALpdj0qRJAIzFbXU6ncAREUdCiRdxKl26dAEAWnFkRUqlkt+/kT7tC+Phhx+Gj48PysvLaaGDQAYMGIDIyEjo9Xpa7EAahBIv4lTi4+MBAGq1+q5iqsRyTCu7CgoKap3kLRKJ0LRpUwBUw8iS3N3dMWXKFAB197iIRCJ4e3sDACQSiU3icwVisRiPPPIIAOOuGfR6Q+qLEi/iVHx9fRETEwMADaouTRomNjYWbdu2BVB7aQkqHmk9gwYNQkREBHQ6Xa09LlRE2Hq6deuGxo0bw2AwICsrS+hwiIOgxIs4HVNCQImXdZl6vXJycqDX6wWOxvWIxWJMnToVAPW4CIXjOL7nMTs7m34HpF4o8SJOp3Xr1gAo8bK2zp07Izg4GHq9nkpLCKRbt25o1KgRDAYDzTMSSIcOHdCsWTMwxqjXi9QLJV7E6bRs2RIAoNFoaLWRFYnFYr6gKpWWEAbHcZgwYQIAY88jPd9tj34HpKEo8SJOR6lUIiwsDABo+yArGzx4MGQyGcrKyqi0hEC6du3Kr66jFY7C6NixI+Li4mAwGGilL6kTJV7EKZlW0lHiZV2enp58aQl60xeGSCTCAw88AIB6HoXCcRwefPBBAMbfAdVWI7WhxIs4pcaNGwMAVbC3gREjRgAwlpagycXC6NOnD5RKJbRaLe1VKpAePXogKCgIOp2O9nAktaKiLsQpxcXFATAmXnK5XOBonFtcXByaNm2K69evIzc3F6GhoUKH5HJkMhmGDh2KTZs2IScnB35+fkKHZHcYY9BqtVbtjRo7diy2bt0KnU4HDw8P/naxWIyAgAAolUpoNBqrnZ+YRyQSQSqVWr3sCiVexCmZanlVVFRQ0UgbGDp0KJ94hYSEUL0oAQwdOhSbN29GcXExNBoN3NzchA7JLuj1euTm5qK4uNjqPbKxsbF49NFHwRir8gbOGEPv3r0hEomQlJRk1RiIeaRSKby8vBAQEACxWGyVc9A7EnFKnp6eCAgIQG5uLsrKyoQOx+n17t0by5Ytg0ajQUlJCby8vIQOyeUEBQUhPj4eZ86cQV5eHsLDw4UOSXB6vR5paWkoLy+HUqmEp6cnxGKxVT8YKJVKlJSUQCKRQCaTAQAMBgM0Gg0kEgkiIiKsdm5y7xhj0Ov1KCkpQWFhIcrKyhAZGWmV5IsSL+K0oqKikJubS5ONbUChUKBXr17Yv38/8vLyKPESyIABA/jEKywszOV7HnNzc1FeXo6oqCgoFAqbnNPf35//sGdK8gwGA8RiMcRiMfVE2jlPT08olUqkpqYiNzcXwcHBFj8HTa4nTos+WdrWwIEDARgn2dOqLmF07doVCoUCFRUVLr+ilzGG4uJiKJVKmyVdAODm5gapVMr3oBDHo1Ao4O3tjeLiYqt8cKfEizgtGmqxrZYtWyIgIAB6vR5FRUVCh+OS3Nzc0LlzZwBw+dWNWq0WWq0Wnp6eNj0vx3F8jy8VU3VcXl5e/HPI0ijxIk6LVtfZlkgkQt++fQGAthASUI8ePQAAhYWFLj3Mbup1tdYE6dqYkj29Xu/SvwNHZnreWKP3nhIv4rSsMTZPatezZ08AQFFREQ2zCKRDhw6QSCQoLy+n0gWAIPPcZDIZpFIpANDfgYOy5vOGEi/itAIDA11+crGtNW7cGEFBQTAYDLRJuUAUCgXatm0LADTkKxCO4/g6XpR4kf+ixIs4LalUCh8fH6HDcCkcx6Fr164AjENdRBjx8fEAAJVKJXAkrsvd3R0AJV7kbpR4Eafm7+8vdAgup0uXLgCMvS00v0UYpsSrpKSEVpgKRKFQgOM4MMbod0CqoMSLODXaOsX2WrVqBblcDq1WS8VrBRIVFQVvb28YDAbar7Qe9Ho9dDqdRb8MBgOkUin0ej20Wi30er1VzlP5y15616ZPnw6O4zB9+nTBYlCr1XjjjTfQokULPgnmOA5nz54VLCYTKqBKnJqvr6/QIbgcqVSKNm3a4NSpU1CpVDZfzk+MQ74tW7bEiRMnUFJSInQ4dk2v12P69OlOMTTu4+ODVatWCbKS096MHz8eu3btAmDsfTQttjItehASJV7EqSmVSqFDcEmmxKu4uJgSL4E0b94cJ06ccPlCqnVhjKGwsBDx8fEOvRiHMYaEhAQa3gdw9epVPunasGEDxo8fL3BEVVHiRZyat7e30CG4pNatWwMwzjGiNwJhNG3aFIDxd2Ca6E1qxnEcRCLHnX1D88j+deHCBQDGOb72lnQBNMeLODnaM1AYcXFxkMlk0Ov1KC8vFzoclxQXFwfAWMGdKqgTV2Ka12ivve2UeBGnZq9/eM5OLBajSZMmAEBzjATi7u7O795AE+yJuTZt2oThw4cjODiYL9XTpEkTjB49GkuWLKm1WO+WLVvQr18/+Pn5wd3dHe3bt8cXX3xRYy9dTEwMOI7DqlWrajxmdRP4Fy1aVOW2lJQUflK90JP9K6OhRuLUKq9qdHNzEzAS19OkSRNcunSJ3vQFFB0djczMTBruJWZ57LHHsGLFCv7/np6e0Gq1SExMRGJiInbu3ImRI0ciJibmrsfOmTMHS5YsgUgkgre3N8rKynDu3DnMnTsXZ86cwerVqy0Wp6enJ4KDg1FWVgaVSgWRSITAwED+fnuZ80s9XsSpxcXFYfbs2ZgxYwbat28vdDguxTTURYmXcKKiooQOgTi4I0eOYMWKFRCJRPjggw+Ql5eH4uJilJaWIjc3F3v37sW0adMgk8nueuyOHTuwbNkyfPrppygoKEBBQQFyc3Mxc+ZMAMCaNWtw8OBBi8U6b948ZGVl4YsvvgAAREZGIisri/8y3S406vEiTo3jOIwcOVLoMFxSbGys0CG4vIiICKFDIA7u2LFjAIBBgwbh5ZdfrnKfv78/hgwZgiFDhlT72IKCAqxcubLKEJ+/vz+WLVuGhIQEnD59Gj/++CMGDBhgtfjtEfV4EUKsIiwsjOoJCSwsLEzoEIiDM227lpOT0+ACrZGRkZg6dWq1940ePRoAcP78ebPic0SUeBFCrEIqlfKTu4kwQkJChA6BOLhBgwbBzc0NCQkJ6N27N77//nskJSXV67GdO3eusUSH6UNBfn6+xWJ1FJR4EUKshnpchOXt7U2LSohZGjVqhOXLl8PT0xPHjx/HzJkz0ahRIwQFBWH8+PH4+eefa1y8UVs5H4nEONNJq9VaJW57RokXIcRqqMdLWBzHISAgQOgwiIObPHkyUlJS8O2332L8+PGIjIxETk4ONm3ahDFjxqBv375QqVRCh+kwKPEihFhNUFCQ0CG4PEq8iCX4+flh1qxZ2LBhA1JTU5GYmIhXX30VHMfh8OHDWLRokcXOZeoNq602WFFRkcXOZ2uUeBFCrIYSL+FVrmVHiKXExcXhvffew6RJkwAAv/32m8WO7evrCwBIS0ur9n6DwYBTp05Z7Hy2RokXIcRq/P39hQ7B5ZlWpRFyL+ra8kuhUACARVcwt2vXDgCwbdu2auePrV69Grdv37bY+WyNEi9CiNVU7m1p6FJ0Yhn2Uq2bOKY5c+bg4YcfxtatW5Gdnc3fXlJSgm+//RZr1qwBAIwYMcJi55w4cSIA4MqVK3jiiSeQl5cHAFCpVPjss88we/Zsh+7JpQKqhBCrqfymX1paKmAkrsvb21voEIgD02q12Lx5MzZv3gzAuC2PRCJBYWEh36ZXr15YsGCBxc45cOBATJ06FWvWrMHy5cuxfPly+Pj4QKVSwWAwYM6cOSguLrbodkO2RIkXIcRqTJNkAaCiokLASFxX06ZN+d9DdXvpESPGWI2bNjsCa+3H+cYbb6Bjx444dOgQrly5gqysLJSUlCAoKAjt2rXDxIkTMXXqVIsXS16xYgU6duyIlStX4tq1azAYDOjZsyffA2cvG17fC465+O6pKpUKSqUSRUVF9MmQECv4/vvvsW/fPtx3332YMmWK0OG4JLVaDcYYPDw8hA7FZjQaDZKSkhAbG1trLTO9Xo/p06dX6cFxVD4+Pli1ahXtGGEB9X3+mDQkl6DEixIvQghxOg1549Tr9VbrMbIljuMo6bIQayZeNNRICCHEpVGyQmyJVjUSQgghhNgIJV6EEEIIITZCiRchhBBCiI1Q4kUIIYQQYiOUeBFCCCGE2AglXoQQQgghNkKJFyGEEEKIjVDiRQghhBBiI5R4EUIIIYTYCCVehBBCCCE2QokXIYQQQoiNUOJFCCGEEGIjlHgRQgghhNgIJV6EEEIIITZCiRchhBBCiI1IhA6AEEIIEZJerwdjTOgwzMZxHMRisdBhkDpQ4kUIIcRl6fV6PPboI8grKBY6FLP5+3rh+5U/WDz5WrVqFZKTk9GvXz/069fPose+V2fPnsX27dvh4+ODuXPnCh1Og1DiRQghxGUxxpBXUIxPRl2CWOS4vV56A4cXd7WySs/dqlWr8McffwCAXSVeb731FqKjoynxIoQQQhyNWMQgduhZz46bNLoah36aEUIIIYQ4Ekq8CCGEEHKXVatWgeM4fpjxrbfeAsdxVb6Sk5OrPCYhIQEzZsxAXFwc3N3d4enpiXbt2uH1119Hbm5ujef666+/MHnyZMTGxsLNzQ0eHh6Ijo5G37598c477+D27dt8W47j8OijjwIAUlJS7opp0aJFFr8WlkRDjYQQQgi5i0KhQHBwMPLz86HVauHh4QFPT88qbSpP5F+4cCHeeecdfp6Zu7s7tFotzp8/j/Pnz2PFihX45ZdfEB8fX+UYq1evxqOPPso/Ti6XQyKRIDU1Fampqfjzzz8RGRmJ6dOnAwCCg4NRVlYGlUoFkUiEwMDAKsf7b4z2hnq8CCGEEHKX8ePHIysrCz169AAAzJs3D1lZWVW+IiMjAQCff/453n77bXh6euK9995DZmYmSktLoVarcerUKQwYMACZmZkYPXo0SkpK+HOo1Wo888wzYIxhypQpSExMhEajQVFREUpKSnDq1Cm89NJLCAoK4h+TlZWFL774AgAQGRl5V0zz5s2z4VVqOOrxIoQQQsg9y83NxYIFC8BxHLZt24aBAwfy94nFYnTs2BF79+5Ft27dcPr0aSxfvpxfiXjx4kUUFxfDw8MDK1euhETyb1ri4eGBjh07omPHjrb+kayKerwIIYQQcs/WrVsHtVqNTp06VUm6KpNIJJg4cSIAYO/evfztPj4+AICKigrk5eVZPVZ7QD1ehBBCCLlnR44cAWDsvQoJCamxXVlZGQDjhHiTuLg4NG/eHFevXkXXrl3x5JNPYujQoWjTpo3TVuGnHi9CCCGE3LOMjAwAxsTqzp07NX6pVCoAxnldJmKxGBs2bEBsbCxSUlLw6quvIj4+Ht7e3hg8eDC++eabKu2dASVehBBCCLlner0eADB79mwwxur8+m8Jinbt2uHq1avYunUrnnjiCbRu3RplZWXYv38/nnrqKTRv3hwXLlwQ4CezDkq8CCGEEHLPTMOL5iRHMpkMDzzwAL777jtcuHABOTk5+Pbbb+Hn54e0tDRMmzbNUuEKjhIvQgghhNRIJDKmCjXtA9mzZ08AwIkTJ6rM3zKHv78/Zs2ahQ8++ACAsTBr5cn3dcVkzyjxIoQQQkiNvL29AQCFhYXV3v/II49AoVBAr9fj6aef5oceq2MwGKocp7y8vNZzKxQK/vvKk+3rismeUeJFCCGEkBq1bt0aALB7926kp6ffdX9ISAjef/99AMAvv/yCwYMH4+jRo3wCxhjD1atX8emnn6J169bYtWsX/9gNGzagZ8+e+O6773Dr1i3+dr1ej7179+LVV18FAHTv3p0vPVE5JpVKhU2bNln2B7YyKidBCCHE5ekNHADHG7YyMcZvHdOmTcMnn3yCxMREREVFITAwEG5ubgCMpSQiIiLw7LPPory8HPPnz8ehQ4fQq1cvyGQyeHl5QaVSQavV8sfjuH9jZYzh2LFjOHbsGADjdkGenp4oKCiAwWAAAISFhWHFihVVYmrcuDEGDhyIAwcOYPz48Zg5cyb8/PwAAHPnzuULtNojSrwIIYS4LI7j4O/rhRd3tRI6FLP5+3pVSWospUmTJjh06BDee+89/PXXX8jLy4NOpwMA/l8AeOmllzB27Fh8/fXXOHDgAJKTk1FYWAhvb280btwY/fv3x5gxY9CtWzf+MaNHj8aaNWtw6NAhnDlzBpmZmcjPz4eXlxeaNWuG++67D3PmzKnS22WyZcsWvP322/jll1+QmprKzy+z9+FHjjnizDQLUqlUUCqVKCoq4seMCSGEODaNRoOkpCTExsbyvTM10ev1DjlJ+784jnPaoqO21pDnD9CwXIJ6vAghhLg0SlaILdHkekIIIYQQG6HEixBCCCHERijxIoQQQgixEUq8CCGEEEJshBIvQgghhBAbocSLEEIIIcRGKPEihBBCCLERSrwIIYQ4LWcojEpsz5rPG0q8CCGEOB2RyPj2ZtqomZCGMD1vTM8jS6LEixBCiNORSqWQSqUoKSkROhTigIqLi/nnkKVR4kUIIcTpcBwHLy8vFBUVoaysTOhwiAMpKyuDSqWCl5d1Nh2nvRoJIYQ4pYCAAJSVlSE1NRXe3t7w8vKCWCy2ypspcWyMMej1ehQXF0OlUkEulyMgIMAq56LEixBCiFMSi8WIjIxEbm4uiouLUVhYKHRIxM5JpVL4+PggICDAapunU+JFCCHEaYnFYgQHByMoKAharRYGg0HokIidEolEkEqlVu8RpcSLEEKI0+M4DjKZTOgwCKHJ9YQQQgghtkKJFyGEEEKIjThc4lVcXIxFixahTZs28PT0hFKpROfOnfHJJ5+goqJC6PAIIYQQQmrEMQfaTyElJQX9+vVDcnIyAMDd3R16vR7l5eUAgPj4eBw4cAC+vr71PqZKpYJSqURRURG8vb2tETYhhBBCnFhDcgmH6fHS6/W47777kJycjNDQUPz2228oLS2FWq3Ghg0b4OXlhYSEBEyePFnoUAkhhBBCquUwideqVatw4cIFAMDWrVsxaNAgAMbln+PHj8d3330HANizZw8OHDggWJyEEEIIITVxmMRr9erVAID+/fuje/fud90/YcIExMbGAgDWrFlj09gIIYQQQurDIRIvtVqNo0ePAgCGDx9ebRuO4zBs2DAAwL59+2wWGyGEEEJIfTlE4nXlyhW+2nDr1q1rbGe6LysrC/n5+TaJjRBCCCGkvhyicn1GRgb/fXh4eI3tKt+XkZEBPz+/u9qUl5fzqyABoKioCIBxRQIhhBBCSEOZcoj6FIpwiMSruLiY/97d3b3GdpXvq/yYyt577z289dZbd90eGRlpRoSEEEIIcXXFxcVQKpW1tnGIxMuS5s+fjxdeeIH/v8FgQH5+Pvz9/a2+MSYRhkqlQmRkJNLS0qhWmwDo+guPfgfCouvv/BhjKC4uRlhYWJ1tHSLx8vLy4r9Xq9U1tqt8X+XHVCaXyyGXy6vc5uPjY16AxCF4e3vTi56A6PoLj34HwqLr79zq6ukycYjJ9ZUzyPT09BrbVb6vPlknIYQQQogtOUTi1aJFC4hExlAvXrxYYzvTfSEhIdVOrCeEEEIIEZJDJF7u7u7o2bMnAODXX3+ttg1jDHv37gUADBkyxGaxEfsnl8uxcOHCu4aYiW3Q9Rce/Q6ERdefVOYwm2R///33mDlzJjiOw/Hjx9G1a9cq92/atAnjx48HAOzfvx8DBw4UIkxCCCGEkBo5RI8XAEybNg1t2rQBYwwPPvggvx+jwWDA5s2b8fjjjwMwVranpIsQQggh9shherwAIDk5Gf3790dycjIA4xCkwWCARqMBAMTHx+PAgQPw9fUVMEpCCCGEkOo5VOIFGIuTffzxx/jpp5+QlJQEkUiEpk2bYuLEiXjmmWcgk8mEDpEQQgghpFoOl3gRQgghhDgqh5njRUhxcTEWLVqENm3awNPTE0qlEp07d8Ynn3yCioqKezpmYWEhfv75Z7z55psYNWoUQkNDwXEcOI7DqlWrLPsDODhrXP/09HR8/fXXeOihh9C4cWMoFAooFArExsZi4sSJOHjwoIV/Csdmjd/BH3/8gQULFmDo0KFo0qQJfH19IZVKERQUhP79+2Px4sUoKyuz8E/imKxx/Wsye/Zs/rUoJibGoscmAmOEOIDk5GQWExPDADAAzN3dncnlcv7/8fHxLD8/v8HHXblyJX+M/36tXLnS8j+Ig7LG9U9NTWUcx1W55u7u7kyhUFS5bcaMGUyn01npJ3Mc1vobGDlyZJXr7eHhwTw8PKrcFhsby65du2aFn8pxWOv6V+fQoUNV/jaio6MtclxiH6jHi9g9vV6P++67D8nJyQgNDcVvv/2G0tJSqNVqbNiwAV5eXkhISMDkyZPv6fghISEYPnw4FixYgK1bt1o4esdnreuv1+vBGMPAgQOxevVqpKeno7S0FCUlJbh06RLuv/9+AMCKFSuwaNEiK/xkjsOafwODBg3C4sWLcebMGahUKpSUlKCkpAS5ublYvHgxFAoFkpKSMHbsWBgMBiv8dPbP2q9BlanVasycORMSiQSdOnWyQPTE7gid+RFSl+XLl/Of/I4dO3bX/evXr+fv379/f4OOrdVq77rNdCzq8TKy1vUvLCxkp0+frvF+g8HAhg0bxgAwT09PVlZWdk/xOwNr/g3U5bvvvuOPfeTIEYse21HY8vrPnTuXAWALFixg06ZNox4vJ0Q9XsTurV69GgDQv39/dO/e/a77J0yYgNjYWADAmjVrGnRsicQh9okXlLWuv1KpRIcOHWq8n+M4zJgxAwBQUlKCK1euNCRsp2LNv4G6dOvWjf/+9u3bFj22o7DV9T9x4gQWL16Mpk2b4vXXX7/n4xD7RokXsWtqtRpHjx4FYCyOWx2O4zBs2DAAwL59+2wWmysQ+vq7ubnx3+v1eose21EI/Ts4fPgw/31cXJxFj+0IbHX9y8vLMWPGDDDG8N1331V57hPnQokXsWtXrlzh55W0bt26xnam+7KyspCfn2+T2FyB0Nf/999/BwDIZDI0bdrUYsd1JEL8DsrKynDjxg383//9H1588UUAQJ8+fVxyzpGtrv/bb7+NK1eu4LHHHkO/fv3uKVbiGGichdi1jIwM/vvw8PAa21W+LyMjA35+flaNy1UIef2TkpLw7bffAgDGjx8Pb29vs4/piGz1O8jKykJoaGi19913330uW17FFtc/ISEBH374IYKDg/Hhhx/eW6DEYVCPF7FrxcXF/Pfu7u41tqt8X+XHEPMIdf3Lysrw0EMPQa1Ww9/fH++9957Zx3RUtvodiMViBAcHIzg4uMow10MPPYQPP/zQZT/MWPv663Q6zJgxAzqdDosXL6Yt71wAJV6EELui0+kwadIknD59GlKpFOvXr6+1p4FYRmBgILKyspCVlQW1Wo20tDQsWLAAO3fuRNu2bbF06VKhQ3RK77//Ps6ePYtRo0bh4YcfFjocYgOUeBG75uXlxX+vVqtrbFf5vsqPIeax9fXX6/WYMmUKtm/fDolEgvXr12PIkCH3fDxnIMTfAMdxiIiIwLvvvot169ZBq9XiySefxLlz58w6riOy5vW/fPky3nnnHXh6euLrr7++9yCJQ6HEi9i1sLAw/vv09PQa21W+r/JjiHlsef1NSdfGjRshFouxdu1ajBs37p6O5UyE/ht44IEHEB0dDYPBgO+//95ix3UU1rz+Tz/9NCoqKrBgwQL4+vryxWtNXzqdDgDAGONv02q19/iTEHtBiRexay1atIBIZHyaXrx4scZ2pvtCQkJcdi6KNdjq+uv1ekyePBkbNmzgk67x48ffW9BOxh7+BkyJRGJiokWP6wisef2TkpIAAPPnz4eXl9ddX+vWrQMApKam8rctWbLEnB+H2AFKvIhdc3d3R8+ePQEAv/76a7VtGGPYu3cvALj8sJSl2eL6m5Kuyj1dEyZMuPegnYzQfwOMMT5BcMVhfKGvP3E+lHgRuzdt2jQAwKFDh/DXX3/ddf/mzZtx69YtAMDUqVNtGpsrsOb11+v1mDRpEjZu3AiJRIJ169ZR0lUNa/0OTENZtVm5ciWysrIAwGXrS1nr+icnJ4MxVuOX6bzR0dH8bXPnzjX/ByLCsv0uRYQ0jFarZW3atGEAWHh4OL8Xml6vZ5s2bWLe3t4MABs+fPhdj124cCG/h1pSUlK1x8/JyanyZWr/5ZdfVrm9tLTUmj+m3bLW9dfpdGzixIkMAJNIJGzTpk22+HEckrV+B4cOHWK9e/dma9asYWlpaVXuu379OnvllVeYRCJhAFhcXBxTq9VW+xntmbVfg2pCezU6J0q8iENISkpiMTEx/AuYu7s7c3Nz4/8fHx/P8vPz73pcfV70TPfX9bVw4ULr/pB2zBrX/48//uDvk0qlLDg4uNavDRs22OintU/W+B0cOnSoynPczc2NBQQEMIVCUeX2du3aNThpcDbWfA2qCSVezomGGolDiImJwfnz5/Hmm2+idevW4DgOUqkUHTt2xMcff4wTJ05Q4UErssb1N23DAgBarRZ37typ9ausrMzSP5ZDscbvoGPHjlizZg1mzJiBdu3aQalUorCwECKRCHFxcXjooYewYcMGnD59GjExMdb5wRwEvQYRS+EYY0zoIAghhBBCXAH1eBFCCCGE2AglXoQQQgghNkKJFyGEEEKIjVDiRQghhBBiI5R4EUIIIYTYCCVehBBCCCE2QokXIYQQQoiNUOJFCCGEEGIjlHgRQgghhNgIJV6EEFKHRYsWgeM49OvXr0H3EULIf1HiRQghhBBiI5R4EUKIGQICAtCsWTNERUUJHQohxAFIhA6AEEIc2Zw5czBnzhyhwyCEOAjq8SKEEEIIsRFKvAghgtu0aROGDx+O4OBgSKVS+Pj4oEmTJhg9ejSWLFkCjUZz12Py8vLw9ttvo2vXrvDz84ObmxtiYmIwdOhQfPvttygqKqrSPjs7GytWrMADDzyAFi1aQKlUQqFQoHHjxpg5cyYuXbp0T7HXNrl++vTp4DgO06dPBwBs2bIF/fr1g5+fH9zd3dG+fXt88cUXMBgMNR6fMYaVK1eie/fu8PLyglKpRNeuXbF06VIwxu46ByHEvtFQIyFEUI899hhWrFjB/9/T0xNarRaJiYlITEzEzp07MXLkSMTExPBt9u3bhwkTJqCgoAAAIJFI4OnpiZSUFKSkpGDfvn0ICQnBmDFj+Me8/PLLWL16Nf9/b29v6HQ63Lx5Ezdv3sTatWuxbt3/t3dvIVFufRzHv2O6PeWZigoFO0AS2dGI0qQsyaQT2VHUi4qshKKgJIuEQJPADhQpmsFEYGUXSWRShJAlHcUyujAoS8LSHMsZzczmvRBnv77ZVt90xg2/z92s51nz/NfN8GM9a625xNq1a4dknCkpKZw9exYnJye8vb1pa2ujqqqKPXv28OzZsx61devs7CQ+Pp7Lly8DYDAY8PX15cmTJzx69IiysjL++uuvIalXRIaGZrxExGHKy8spKCjAycmJrKwsPn/+TEtLCxaLhcbGRkpLS0lKSuoRLiorK1m1ahUmk4mpU6dy8+ZNWltbMZlMWCwWHj9+zL59+/Dy8urxrODgYA4dOkRlZSVms5kvX77Q3t5OdXU18fHxtLe3k5SUxIcPHwZ9nMXFxeTl5ZGdnY3JZMJkMtHY2MjWrVsBMBqN3L1795d+x48ft4WuvXv30tDQQFNTEyaTiYyMDAoLCykuLh70ekVkCFlFRBwkKyvLClijo6P73Sc8PNwKWCdPnmxtbm4etFpiY2OtgPXo0aO/XDty5IgVsEZGRg7oWlJSkhWwAtYLFy70+tzZs2dbAevWrVt7tFssFqu3t7cVsG7ZsqXXvt3PBqxJSUl9DVFEhgHNeImIw/j6+gLQ0NBAZ2dnn/fX1NRQXl4OQEZGBj4+PoNWS2xsLIDt+wdTYGAgiYmJvV5buXIlAM+fP+/RXlpaytevXwFIS0vrte++ffvw8PAYxEpFZKgpeImIwyxZsgQ3NzcqKyuJiIjg/PnzvHnz5rf3P3jwAIARI0YQExMz4OdVVVWxc+dOQkND8fb2xsnJCYPBgMFgYOfOnQDU1dX9f4P5B2FhYTg59f5zO27cOACampp6tD979gyAoKAggoODe+3r5eXF7NmzB7FSERlqWlwvIg4zYcIE8vPzSU5OpqKigoqKCgBGjRrFokWL2Lx5MytXrsRgMABQX18PdB1a6unpOaBnnTlzht27d9t2EBoMBnx8fHB1dQWgra2Nr1+/YrFYBmt4Nv+73uy/OTt3/Qx3dHT0aG9oaAD+Dma/M378+D+sTkTsSTNeIuJQ8fHx1NbWkpOTw4YNGwgMDKShoYErV66wevVqIiMjba/cunUHsf569eoVe/bs4efPn6xbt45Hjx7x7ds3TCYT9fX11NfXk52dDXQd3zAcdNfR11iHS70i0j8KXiLicP7+/mzfvp3CwkLevXvH69evSU1NxWAwcO/ePdLT0wEYO3Ys0DUbNJCZqaKiIjo7OwkJCaGwsJCwsLBfjmHonk0bLkaPHg3Q5y7LodiFKSJDR8FLRIadiRMnkpmZyebNmwG4ffs2APPnzwe6zrcqKSnp9/e9f/8egOnTp/92rdWdO3f+pORBN2vWLABqa2t5+/Ztr/eYzWaePn1qx6pE5E8peImIw7S3t//jdXd3d6BrMT3ApEmTWLhwIQAHDx785RXk73Tvfnzx4kWvr+ZKSkooKyvrb9l2ER0djbe3N9C1g7M3J06coLW11Z5licgfUvASEYdJSUlh/fr1XLt2jU+fPtnazWYzOTk5GI1GAJYvX267durUKdzc3KipqWHBggXcunXLtjC9tbWVhw8fkpyc3GMGa9myZQC8fPmSXbt22XYQWiwWcnNziYuLIyAgYMjHOxCenp4cOHAAgLy8PPbv32+ru6WlhaysLNLT0/Hz83NkmSIyQApeIuIwHR0dXL16lbi4OMaMGYOXlxd+fn54eXmxY8cOvn//Tnh4eI9zrGbMmMH169fx8fGhurqamJgYPD098ff3x9PTk3nz5pGbm4vZbLb1iYqKYuPGjQCcO3eOgIAA/Pz88PHxITk5mZCQENs6suFk//79xMXFAV2n2I8aNQp/f3/8/PxITU0lPj6eFStWAODm5ubIUkWknxS8RMRhDh8+zOnTp1mzZg1TpkzB2dkZs9nM6NGjWbp0KQUFBZSVlf1ydER0dDQ1NTWkpaUxc+ZM3N3daWtrs/1Jdm5uLosXL+7R59KlS5w8eZLQ0FBcXV3p7Oxk2rRpZGZmcv/+fUaOHGnPofeLs7MzV65cIT8/n7lz5+Lu7s6PHz+YM2cO+fn5GI1Gmpubgb8PoxWR4c1g1V5kEZF/JavVSlBQEHV1dRiNRhISEhxdkoj0QTNeIiL/UhcvXqSurg5nZ2eioqIcXY6I9IOCl4jIMLZp0yaKiopobGy0tX38+JFjx46xbds2ABITE/s84V5Ehge9ahQRGcZ8fX358uULAB4eHri4uNg+A0RERHDjxg3b0RMiMrwpeImIDGNGo5GSkhIqKyv59OkTZrMZX19fZsyYwcaNG0lISMDFxcXRZYpIPyl4iYiIiNiJ1niJiIiI2ImCl4iIiIidKHiJiIiI2ImCl4iIiIidKHiJiIiI2ImCl4iIiIidKHiJiIiI2ImCl4iIiIidKHiJiIiI2Ml/ANbnz1niJUG6AAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plots\n",
-    "\n",
-    "# theoretical chance level\n",
-    "chance_level = 0.5\n",
-    "\n",
-    "acc2 = acc[np.logical_or(acc['type']=='train',acc['type']=='test')]\n",
-    "\n",
-    "plt.figure()\n",
-    "sb.violinplot(data=acc2, x='scaling', y='score', hue='type', split=True, \n",
-    "              palette=['brown','orange'], scale='width')\n",
-    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
-    "plt.yticks([0,1])\n",
-    "plt.ylabel('accuracy')\n",
-    "plt.legend(loc='lower right')\n",
-    "plt.tight_layout()\n",
-    "plt.title('train-test accuracies')\n",
-    "\n",
-    "\n",
-    "acc2 = acc[np.logical_or(acc['type']=='shuf',acc['type']=='test')]\n",
-    "\n",
-    "plt.figure()\n",
-    "sb.violinplot(data=acc2, x='scaling', y='score', hue='type', hue_order=('shuf','test'),\n",
-    "              split=True, palette=['gray','orange'], scale='width')\n",
-    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
-    "plt.yticks([0,1])\n",
-    "plt.ylabel('accuracy')\n",
-    "plt.legend(loc='lower right')\n",
-    "plt.tight_layout()\n",
-    "plt.title('test-shuf accuracies')\n",
-    "\n",
-    "\n",
-    "plt.figure()\n",
-    "sb.violinplot(data=acc2, x='scaling', y='log C', hue='type', \n",
-    "              palette=['orange','gray'], scale='width')\n",
-    "plt.legend(loc='lower right')\n",
-    "plt.tight_layout()\n",
-    "plt.title('best C (log$_{10}$ scale)')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "146441cb",
-   "metadata": {},
-   "source": [
-    "We find that the best `C` selected by the nested cross-validation is $0.01$, in line with the comparison of training/testing accuracies at the beginning of the notebook (with the scaling $0.2$ that governs the contrast across the 2 classes). \n",
-    "\n",
-    "Here the scaling affects the selected `C` with looser selection for smaller scaling (i.e. when the classification is difficult and the classifier does not perform well). \n",
-    "\n",
-    "Note that the classifier trained with shuffled labels for the baseline accuracy does not depend on `C`."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e3f096d7",
-   "metadata": {},
-   "source": [
-    "## Implementation in scikit-learn\n",
-    "\n",
-    "Let's use `GridSearchCV`, which performs the fitting of the parameters."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "07cdf8f2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# grid search for hyperparameter C\n",
-    "gscv = GridSearchCV(clf_MLR,\n",
-    "                    {'C': Cs},\n",
-    "                    cv=cv_nest)\n",
-    "\n",
-    "acc = pd.DataFrame(columns=['scaling', 'type', 'log C', 'score'])\n",
-    "\n",
-    "for scaling in scalings:\n",
-    "    # generate inputs\n",
-    "    X, y = gen_inputs(m, s0, s1, scaling=scaling)\n",
-    "    \n",
-    "    # repeat classification\n",
-    "    for train_ind, test_ind in cvs.split(X, y):\n",
-    "        # Train and test classifiers with subject labels\n",
-    "        gscv.fit(X[train_ind,:], y[train_ind])\n",
-    "        best_C = nested_CV(clf_MLR, X[train_ind,:], y[train_ind])\n",
-    "        clf_MLR.set_params(C=best_C)\n",
-    "        clf_MLR.fit(X[train_ind,:], y[train_ind])\n",
-    "        d = {'scaling': [scaling],\n",
-    "             'type': ['test'],\n",
-    "             'log C': [np.log10(best_C)], \n",
-    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
-    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
-    "    \n",
-    "        # shuffling\n",
-    "        train_ind_rand = np.random.permutation(train_ind)\n",
-    "    \n",
-    "        best_C = nested_CV(clf_MLR, X[train_ind,:], y[train_ind_rand])\n",
-    "        clf_MLR.set_params(C=best_C)\n",
-    "        clf_MLR.fit(X[train_ind,:], train_ind_rand)\n",
-    "        d = {'scaling': [scaling],\n",
-    "             'type': ['shuf'],\n",
-    "             'log C': [np.log10(best_C)], \n",
-    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
-    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "a92c13eb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "sb.violinplot(data=acc, x='scaling', y='score', hue='type', hue_order=['shuf','test'], split=True, \n",
-    "              palette=['gray','orange'], scale='width')\n",
-    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
-    "plt.yticks([0,1])\n",
-    "plt.ylabel('accuracy')\n",
-    "plt.legend(loc='lower right')\n",
-    "plt.tight_layout()\n",
-    "plt.title('train-test accuracies')\n",
-    "\n",
-    "\n",
-    "acc2 = acc[acc['type']=='test']\n",
-    "\n",
-    "plt.figure()\n",
-    "sb.violinplot(data=acc2, x='scaling', y='log C', hue='type', \n",
-    "              palette=['orange'], scale='width')\n",
-    "plt.legend(loc='upper right')\n",
-    "plt.tight_layout()\n",
-    "plt.title('best C (log$_{10}$ scale)')\n",
-    "\n",
-    "plt.show()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}