From 367a34d9760aef2b37d04162410c4ec58a9aa1be Mon Sep 17 00:00:00 2001
From: nico-dev <nico-dev@T480S>
Date: Fri, 2 Feb 2024 16:56:22 +0100
Subject: [PATCH] added visualization to the binary tree :sparkles:

---
 binary-tree.ipynb | 875 ++++++++++++----------------------------------
 1 file changed, 219 insertions(+), 656 deletions(-)

diff --git a/binary-tree.ipynb b/binary-tree.ipynb
index e07936c..c49b5f2 100644
--- a/binary-tree.ipynb
+++ b/binary-tree.ipynb
@@ -7,6 +7,15 @@
     "# Bird Species Identifier - Binary Decision Tree Model"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Species\n",
+    "__MASKED BOBBY__: species 1  \n",
+    "__CRESTED COUA__: species 2"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -18,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 92,
    "metadata": {},
    "outputs": [
     {
@@ -47,9 +56,11 @@
     "import cv2\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
+    "CLASS_NAMES = ['MASKED BOBBY', 'CRESTED COUA']\n",
+    "\n",
     "# Define the directory where your images are stored\n",
-    "species1_img_dir = r'C:\\Users\\nico-dev\\Desktop\\bdd\\train\\MASKED BOOBY'\n",
-    "species2_img_dir = r'C:\\Users\\nico-dev\\Desktop\\bdd\\train\\CRESTED COUA'\n",
+    "species1_img_dir = r'C:\\Users\\nico-dev\\Desktop\\fac\\birds database\\train\\MASKED BOOBY'\n",
+    "species2_img_dir = r'C:\\Users\\nico-dev\\Desktop\\fac\\birds database\\train\\CRESTED COUA'\n",
     "\n",
     "# Get the list of image file names\n",
     "s1_image_names = os.listdir(species1_img_dir)\n",
@@ -88,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [
     {
@@ -104,8 +115,8 @@
    ],
    "source": [
     "# Define the directory where your images are stored\n",
-    "species1_img_dir_TEST = r'C:\\Users\\nico-dev\\Desktop\\bdd\\test\\MASKED BOOBY'\n",
-    "species2_img_dir_TEST = r'C:\\Users\\nico-dev\\Desktop\\bdd\\test\\CRESTED COUA'\n",
+    "species1_img_dir_TEST = r'C:\\Users\\nico-dev\\Desktop\\fac\\birds database\\test\\MASKED BOOBY'\n",
+    "species2_img_dir_TEST = r'C:\\Users\\nico-dev\\Desktop\\fac\\birds database\\test\\CRESTED COUA'\n",
     "\n",
     "# Get the list of image file names\n",
     "s1_image_names_TEST = os.listdir(species1_img_dir_TEST)\n",
@@ -115,12 +126,12 @@
     "s1_images_TEST = []\n",
     "for image in s1_image_names_TEST:\n",
     "    img = cv2.imread(os.path.join(species1_img_dir_TEST, image))\n",
-    "    s1_images.append(img)\n",
+    "    s1_images_TEST.append(img)\n",
     "\n",
     "s2_images_TEST = []\n",
     "for image in s2_image_names_TEST:\n",
     "    img = cv2.imread(os.path.join(species2_img_dir_TEST, image))\n",
-    "    s2_images.append(img)\n",
+    "    s2_images_TEST.append(img)\n",
     "\n",
     "# Print the loaded image names\n",
     "print(\"Species 1 images:\")\n",
@@ -147,9 +158,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 94,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Processed images shape: (284, 224, 224, 3)\n",
+      "- len : 284\n",
+      "Processed images shape TEST: (10, 224, 224, 3)\n",
+      "- len : 10\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "\n",
@@ -172,25 +194,35 @@
     "    normalized = resized / 255.0\n",
     "    processed_images_species2.append(normalized)\n",
     "\n",
-    "processed_images = np.concatenate((processed_images_species1, processed_images_species2))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get the length of the lists\n",
-    "num_s1_images = len(s1_images)\n",
-    "num_s2_images = len(s2_images)\n",
+    "processed_images = np.concatenate((processed_images_species1, processed_images_species2))\n",
     "\n",
-    "# Create labels\n",
-    "s1_labels = [1] * num_s1_images # for species 1\n",
-    "s2_labels = [2] * num_s2_images # for species 2\n",
+    "## Concatenate the test set\n",
+    "# Process species 1 images\n",
+    "processed_images_species1_TEST = []\n",
+    "for img in s1_images_TEST:\n",
+    "    # Resize image to 224x224 pixels\n",
+    "    resized = cv2.resize(img, (224, 224))\n",
+    "    # Normalize pixel values\n",
+    "    normalized = resized / 255.0\n",
+    "    processed_images_species1_TEST.append(normalized)\n",
     "\n",
-    "# combiner les labels dans l'ordre des images\n",
-    "labels = s1_labels + s2_labels"
+    "# Convert the list to a numpy array\n",
+    "processed_images_TEST = np.array(processed_images_species1)\n",
+    "\n",
+    "# Process species 2 images\n",
+    "processed_images_species2_TEST = []\n",
+    "for img in s2_images_TEST:\n",
+    "    resized = cv2.resize(img, (224, 224))\n",
+    "    normalized = resized / 255.0\n",
+    "    processed_images_species2_TEST.append(normalized)\n",
+    "\n",
+    "processed_images_TEST = np.concatenate((processed_images_species1_TEST, processed_images_species2_TEST))\n",
+    "\n",
+    "# print len and shape of the processed images\n",
+    "print(\"Processed images shape:\", processed_images.shape)\n",
+    "print(\"- len :\", len(processed_images))\n",
+    "print(\"Processed images shape TEST:\", processed_images_TEST.shape)\n",
+    "print(\"- len :\", len(processed_images_TEST))"
    ]
   },
   {
@@ -215,9 +247,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 95,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "284\n",
+      "10\n"
+     ]
+    }
+   ],
    "source": [
     "# Get the length of the lists\n",
     "num_s1_images = len(s1_images)\n",
@@ -228,7 +269,18 @@
     "s2_labels = [2] * num_s2_images # for species 2\n",
     "\n",
     "# combiner les labels dans l'ordre des images\n",
-    "labels = s1_labels + s2_labels"
+    "labels = s1_labels + s2_labels\n",
+    "print(len(labels))\n",
+    "\n",
+    "# Do the same for the test set\n",
+    "num_s1_images_TEST = len(s1_images_TEST)\n",
+    "num_s2_images_TEST = len(s2_images_TEST)\n",
+    "\n",
+    "s1_labels_TEST = [1] * num_s1_images_TEST \n",
+    "s2_labels_TEST = [2] * num_s2_images_TEST \n",
+    "\n",
+    "labels_TEST = s1_labels_TEST + s2_labels_TEST\n",
+    "print(len(labels_TEST))"
    ]
   },
   {
@@ -240,650 +292,161 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn import tree\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "# x represents our images, the inputs of the model (bird images)\n",
+    "# y represents our labels, the outputs of the model (bird species)\n",
+    "\n",
+    "# We can use our dataset's test set to train the model and the test set to evaluate it\n",
+    "X_train = processed_images\n",
+    "y_train = labels\n",
+    "X_test = processed_images_TEST\n",
+    "y_test = labels_TEST\n",
+    "\n",
+    "# Initialize the model\n",
+    "clf = tree.DecisionTreeClassifier()\n",
+    "\n",
+    "# Flatten the images from 4D to 2D\n",
+    "X_train = X_train.reshape(X_train.shape[0], -1)\n",
+    "X_test = X_test.reshape(X_test.shape[0], -1)\n",
+    "\n",
+    "# Train the model\n",
+    "clf = clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Predict on the test set\n",
+    "predictions = clf.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
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-      "   [0.16862745 0.18823529 0.19215686]\n",
-      "   [0.17254902 0.19215686 0.20392157]\n",
-      "   ...\n",
-      "   [0.49411765 0.60392157 0.67058824]\n",
-      "   [0.49019608 0.6        0.66666667]\n",
-      "   [0.49019608 0.6        0.66666667]]\n",
-      "\n",
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-      "   [0.17647059 0.19607843 0.20784314]\n",
-      "   ...\n",
-      "   [0.49411765 0.60392157 0.67058824]\n",
-      "   [0.49411765 0.60392157 0.67058824]\n",
-      "   [0.49411765 0.60392157 0.67058824]]\n",
-      "\n",
-      "  [[0.17254902 0.19215686 0.20392157]\n",
-      "   [0.17254902 0.19215686 0.20392157]\n",
-      "   [0.17647059 0.19607843 0.20784314]\n",
-      "   ...\n",
-      "   [0.50196078 0.60392157 0.67058824]\n",
-      "   [0.49803922 0.6        0.66666667]\n",
-      "   [0.49803922 0.6        0.66666667]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
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-      "   [0.41568627 0.38823529 0.37647059]\n",
-      "   [0.41568627 0.38823529 0.37647059]\n",
-      "   ...\n",
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-      "   [0.37647059 0.34901961 0.3372549 ]\n",
-      "   ...\n",
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-      "   [0.34117647 0.31372549 0.30196078]\n",
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-      "   ...\n",
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-      "   [0.58431373 0.63529412 0.66666667]\n",
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-      "\n",
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-      "   ...\n",
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-      "   [0.85882353 0.7372549  0.60784314]\n",
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-      "   ...\n",
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-      "   [0.85490196 0.73333333 0.60392157]]\n",
-      "\n",
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-      "   [0.89019608 0.74117647 0.61568627]\n",
-      "   ...\n",
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-      "   [0.85490196 0.73333333 0.60392157]\n",
-      "   [0.85490196 0.73333333 0.60392157]]]\n",
-      "\n",
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-      "   ...\n",
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-      "   [0.35686275 0.56862745 0.56862745]\n",
-      "   ...\n",
-      "   [0.11764706 0.33333333 0.2745098 ]\n",
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-      "   [0.12156863 0.33333333 0.28235294]]\n",
-      "\n",
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-      "   ...\n",
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-      "   [0.11372549 0.33333333 0.28235294]\n",
-      "   [0.11764706 0.3372549  0.28627451]]\n",
-      "\n",
-      "  ...\n",
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-      "   [0.28627451 0.23921569 0.23921569]\n",
-      "   [0.28627451 0.23921569 0.23921569]\n",
-      "   ...\n",
-      "   [0.31372549 0.39607843 0.52156863]\n",
-      "   [0.31764706 0.4        0.5254902 ]\n",
-      "   [0.31372549 0.39607843 0.52156863]]\n",
-      "\n",
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-      "   ...\n",
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-      "   [0.23137255 0.31372549 0.43529412]\n",
-      "   [0.23921569 0.32156863 0.44313725]]\n",
-      "\n",
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-      "   [0.28235294 0.24313725 0.24313725]\n",
-      "   [0.28627451 0.24705882 0.24705882]\n",
-      "   ...\n",
-      "   [0.23921569 0.32156863 0.44705882]\n",
-      "   [0.2745098  0.35686275 0.47843137]\n",
-      "   [0.31372549 0.39607843 0.51764706]]]\n",
-      "\n",
-      "\n",
-      " ...\n",
-      "\n",
-      "\n",
-      " [[[0.74509804 0.7372549  0.7372549 ]\n",
-      "   [0.74901961 0.74117647 0.74117647]\n",
-      "   [0.74509804 0.74509804 0.74509804]\n",
-      "   ...\n",
-      "   [0.69803922 0.69019608 0.69019608]\n",
-      "   [0.69019608 0.68235294 0.68235294]\n",
-      "   [0.68627451 0.67843137 0.67843137]]\n",
-      "\n",
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-      "   [0.74901961 0.74901961 0.74901961]\n",
-      "   ...\n",
-      "   [0.69803922 0.69019608 0.69019608]\n",
-      "   [0.69019608 0.68235294 0.68235294]\n",
-      "   [0.68627451 0.67843137 0.67843137]]\n",
-      "\n",
-      "  [[0.74901961 0.74117647 0.74117647]\n",
-      "   [0.75294118 0.74509804 0.74509804]\n",
-      "   [0.75686275 0.74901961 0.74901961]\n",
-      "   ...\n",
-      "   [0.69803922 0.69019608 0.69019608]\n",
-      "   [0.69411765 0.68627451 0.68627451]\n",
-      "   [0.69019608 0.68235294 0.68235294]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
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-      "   ...\n",
-      "   [0.70196078 0.68235294 0.67843137]\n",
-      "   [0.69803922 0.67843137 0.6745098 ]\n",
-      "   [0.69411765 0.6745098  0.67058824]]\n",
-      "\n",
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-      "   [0.75294118 0.76862745 0.78823529]\n",
-      "   [0.62352941 0.63921569 0.65882353]\n",
-      "   ...\n",
-      "   [0.70196078 0.68235294 0.67843137]\n",
-      "   [0.69803922 0.67843137 0.6745098 ]\n",
-      "   [0.69411765 0.6745098  0.67058824]]\n",
-      "\n",
-      "  [[0.73333333 0.74901961 0.76862745]\n",
-      "   [0.71764706 0.73333333 0.75294118]\n",
-      "   [0.70980392 0.7254902  0.74509804]\n",
-      "   ...\n",
-      "   [0.70196078 0.68235294 0.67843137]\n",
-      "   [0.69803922 0.67843137 0.6745098 ]\n",
-      "   [0.69411765 0.6745098  0.67058824]]]\n",
-      "\n",
-      "\n",
-      " [[[0.00784314 0.2627451  0.2       ]\n",
-      "   [0.00784314 0.2627451  0.2       ]\n",
-      "   [0.00784314 0.2627451  0.20392157]\n",
-      "   ...\n",
-      "   [0.0745098  0.75294118 0.63529412]\n",
-      "   [0.07843137 0.75686275 0.63921569]\n",
-      "   [0.07843137 0.75686275 0.63921569]]\n",
-      "\n",
-      "  [[0.00392157 0.25882353 0.19607843]\n",
-      "   [0.00784314 0.2627451  0.2       ]\n",
-      "   [0.01176471 0.26666667 0.20784314]\n",
-      "   ...\n",
-      "   [0.07843137 0.75686275 0.63921569]\n",
-      "   [0.08235294 0.76078431 0.64313725]\n",
-      "   [0.08627451 0.76470588 0.64705882]]\n",
-      "\n",
-      "  [[0.00392157 0.25882353 0.19607843]\n",
-      "   [0.00784314 0.2627451  0.2       ]\n",
-      "   [0.01176471 0.26666667 0.20784314]\n",
-      "   ...\n",
-      "   [0.08235294 0.76470588 0.64705882]\n",
-      "   [0.09019608 0.77254902 0.65490196]\n",
-      "   [0.09411765 0.77647059 0.65882353]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.1372549  0.30980392 0.19607843]\n",
-      "   [0.1254902  0.29803922 0.18431373]\n",
-      "   [0.11372549 0.29411765 0.18039216]\n",
-      "   ...\n",
-      "   [0.35686275 0.94509804 0.85098039]\n",
-      "   [0.34509804 0.94509804 0.84705882]\n",
-      "   [0.34509804 0.94509804 0.84705882]]\n",
-      "\n",
-      "  [[0.15686275 0.31764706 0.21176471]\n",
-      "   [0.1372549  0.29803922 0.19215686]\n",
-      "   [0.1254902  0.29411765 0.18823529]\n",
-      "   ...\n",
-      "   [0.4        0.97254902 0.8745098 ]\n",
-      "   [0.37254902 0.97254902 0.8745098 ]\n",
-      "   [0.35294118 0.95686275 0.85882353]]\n",
-      "\n",
-      "  [[0.16862745 0.32156863 0.21960784]\n",
-      "   [0.14509804 0.30588235 0.2       ]\n",
-      "   [0.1372549  0.29803922 0.19215686]\n",
-      "   ...\n",
-      "   [0.41960784 0.99215686 0.89411765]\n",
-      "   [0.38431373 0.97254902 0.87843137]\n",
-      "   [0.36078431 0.96470588 0.86666667]]]\n",
-      "\n",
-      "\n",
-      " [[[0.41176471 0.40784314 0.39215686]\n",
-      "   [0.41176471 0.40784314 0.39215686]\n",
-      "   [0.41960784 0.41568627 0.4       ]\n",
-      "   ...\n",
-      "   [0.5254902  0.52156863 0.50588235]\n",
-      "   [0.52156863 0.51764706 0.50196078]\n",
-      "   [0.51372549 0.50980392 0.49411765]]\n",
-      "\n",
-      "  [[0.40784314 0.40392157 0.38823529]\n",
-      "   [0.41176471 0.40784314 0.39215686]\n",
-      "   [0.41960784 0.41568627 0.4       ]\n",
-      "   ...\n",
-      "   [0.52156863 0.51764706 0.50196078]\n",
-      "   [0.51764706 0.51372549 0.49803922]\n",
-      "   [0.50980392 0.50588235 0.49019608]]\n",
-      "\n",
-      "  [[0.40784314 0.40784314 0.38431373]\n",
-      "   [0.41176471 0.41176471 0.38823529]\n",
-      "   [0.42352941 0.41960784 0.40392157]\n",
-      "   ...\n",
-      "   [0.50980392 0.50588235 0.49019608]\n",
-      "   [0.50588235 0.50588235 0.48235294]\n",
-      "   [0.50196078 0.50196078 0.47843137]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.88235294 0.84313725 0.84313725]\n",
-      "   [0.90588235 0.86666667 0.86666667]\n",
-      "   [0.90980392 0.87058824 0.87058824]\n",
-      "   ...\n",
-      "   [0.39607843 0.38039216 0.37647059]\n",
-      "   [0.39215686 0.37254902 0.36078431]\n",
-      "   [0.38431373 0.36470588 0.35294118]]\n",
-      "\n",
-      "  [[0.8745098  0.83137255 0.83921569]\n",
-      "   [0.89803922 0.85490196 0.8627451 ]\n",
-      "   [0.90196078 0.85882353 0.86666667]\n",
-      "   ...\n",
-      "   [0.40392157 0.38823529 0.38431373]\n",
-      "   [0.39607843 0.37647059 0.36470588]\n",
-      "   [0.38823529 0.36862745 0.35686275]]\n",
-      "\n",
-      "  [[0.8745098  0.83137255 0.83921569]\n",
-      "   [0.89803922 0.85490196 0.8627451 ]\n",
-      "   [0.89411765 0.85098039 0.85882353]\n",
-      "   ...\n",
-      "   [0.41568627 0.4        0.39607843]\n",
-      "   [0.40392157 0.38431373 0.37254902]\n",
-      "   [0.39215686 0.37254902 0.36078431]]]]\n",
-      "[[[[0.36078431 0.27843137 0.27058824]\n",
-      "   [0.36470588 0.28235294 0.2745098 ]\n",
-      "   [0.36862745 0.29019608 0.27058824]\n",
-      "   ...\n",
-      "   [0.26666667 0.20784314 0.22352941]\n",
-      "   [0.26666667 0.21176471 0.21960784]\n",
-      "   [0.2627451  0.20784314 0.21568627]]\n",
-      "\n",
-      "  [[0.35686275 0.2745098  0.26666667]\n",
-      "   [0.36078431 0.27843137 0.27058824]\n",
-      "   [0.36470588 0.28627451 0.26666667]\n",
-      "   ...\n",
-      "   [0.26666667 0.20784314 0.22352941]\n",
-      "   [0.25882353 0.20392157 0.21176471]\n",
-      "   [0.25098039 0.19607843 0.20392157]]\n",
-      "\n",
-      "  [[0.35294118 0.27058824 0.2627451 ]\n",
-      "   [0.36078431 0.27843137 0.27058824]\n",
-      "   [0.36470588 0.28235294 0.2745098 ]\n",
-      "   ...\n",
-      "   [0.25882353 0.20392157 0.21176471]\n",
-      "   [0.25098039 0.19607843 0.20392157]\n",
-      "   [0.24705882 0.19215686 0.2       ]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.98823529 0.99607843 0.99607843]\n",
-      "   [0.98823529 0.99607843 0.99607843]\n",
-      "   [0.99607843 0.99607843 0.99607843]\n",
-      "   ...\n",
-      "   [0.61176471 0.6627451  0.71764706]\n",
-      "   [0.61960784 0.67058824 0.73333333]\n",
-      "   [0.62745098 0.67843137 0.73333333]]\n",
-      "\n",
-      "  [[0.99215686 0.99215686 0.99215686]\n",
-      "   [0.99215686 0.99215686 0.99215686]\n",
-      "   [0.99607843 0.99607843 0.99607843]\n",
-      "   ...\n",
-      "   [0.69411765 0.74117647 0.78823529]\n",
-      "   [0.70196078 0.74509804 0.8       ]\n",
-      "   [0.69411765 0.74117647 0.78823529]]\n",
-      "\n",
-      "  [[1.         1.         1.        ]\n",
-      "   [1.         1.         1.        ]\n",
-      "   [1.         1.         1.        ]\n",
-      "   ...\n",
-      "   [0.71764706 0.76470588 0.81176471]\n",
-      "   [0.7254902  0.76078431 0.81176471]\n",
-      "   [0.71764706 0.75294118 0.80392157]]]\n",
-      "\n",
-      "\n",
-      " [[[0.40392157 0.45882353 0.45490196]\n",
-      "   [0.36862745 0.42352941 0.41960784]\n",
-      "   [0.34901961 0.41176471 0.40784314]\n",
-      "   ...\n",
-      "   [0.40392157 0.38431373 0.38039216]\n",
-      "   [0.39607843 0.37647059 0.37254902]\n",
-      "   [0.39215686 0.37254902 0.36862745]]\n",
-      "\n",
-      "  [[0.2627451  0.3254902  0.32156863]\n",
-      "   [0.31372549 0.37647059 0.37254902]\n",
-      "   [0.37254902 0.44313725 0.43921569]\n",
-      "   ...\n",
-      "   [0.31372549 0.29411765 0.29019608]\n",
-      "   [0.32941176 0.30980392 0.30588235]\n",
-      "   [0.34901961 0.32941176 0.3254902 ]]\n",
-      "\n",
-      "  [[0.17254902 0.2627451  0.24705882]\n",
-      "   [0.20392157 0.29411765 0.27843137]\n",
-      "   [0.24705882 0.3372549  0.32156863]\n",
-      "   ...\n",
-      "   [0.2627451  0.23921569 0.24313725]\n",
-      "   [0.25490196 0.23137255 0.23529412]\n",
-      "   [0.25490196 0.23137255 0.23529412]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.39215686 0.32941176 0.30196078]\n",
-      "   [0.35686275 0.30588235 0.2745098 ]\n",
-      "   [0.34901961 0.29803922 0.26666667]\n",
-      "   ...\n",
-      "   [0.16470588 0.27843137 0.26666667]\n",
-      "   [0.17647059 0.29019608 0.27843137]\n",
-      "   [0.16470588 0.28627451 0.2745098 ]]\n",
-      "\n",
-      "  [[0.36078431 0.30588235 0.28235294]\n",
-      "   [0.35294118 0.30588235 0.28235294]\n",
-      "   [0.34117647 0.29411765 0.27058824]\n",
-      "   ...\n",
-      "   [0.21568627 0.34117647 0.32156863]\n",
-      "   [0.23921569 0.36470588 0.34509804]\n",
-      "   [0.23137255 0.36470588 0.34117647]]\n",
-      "\n",
-      "  [[0.37647059 0.32941176 0.30588235]\n",
-      "   [0.36470588 0.31764706 0.29411765]\n",
-      "   [0.38823529 0.34117647 0.31764706]\n",
-      "   ...\n",
-      "   [0.30980392 0.43529412 0.41568627]\n",
-      "   [0.37647059 0.50980392 0.48627451]\n",
-      "   [0.38431373 0.51764706 0.49411765]]]\n",
-      "\n",
-      "\n",
-      " [[[0.25882353 0.25882353 0.25882353]\n",
-      "   [0.25490196 0.25490196 0.25490196]\n",
-      "   [0.25490196 0.25490196 0.25490196]\n",
-      "   ...\n",
-      "   [0.30588235 0.28235294 0.28627451]\n",
-      "   [0.31764706 0.29411765 0.29803922]\n",
-      "   [0.3254902  0.30196078 0.30588235]]\n",
-      "\n",
-      "  [[0.25882353 0.25882353 0.25882353]\n",
-      "   [0.25490196 0.25490196 0.25490196]\n",
-      "   [0.25490196 0.25490196 0.25490196]\n",
-      "   ...\n",
-      "   [0.30196078 0.27843137 0.28235294]\n",
-      "   [0.30588235 0.28235294 0.28627451]\n",
-      "   [0.30980392 0.28627451 0.29019608]]\n",
-      "\n",
-      "  [[0.25882353 0.25490196 0.2627451 ]\n",
-      "   [0.25490196 0.25098039 0.25882353]\n",
-      "   [0.25490196 0.25490196 0.25490196]\n",
-      "   ...\n",
-      "   [0.29803922 0.2745098  0.27843137]\n",
-      "   [0.29803922 0.2745098  0.27843137]\n",
-      "   [0.29803922 0.2745098  0.27843137]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.25490196 0.25882353 0.2745098 ]\n",
-      "   [0.25490196 0.25882353 0.2745098 ]\n",
-      "   [0.25490196 0.25882353 0.2745098 ]\n",
-      "   ...\n",
-      "   [0.58431373 0.62745098 0.70588235]\n",
-      "   [0.49411765 0.5372549  0.62352941]\n",
-      "   [0.42352941 0.46666667 0.55294118]]\n",
-      "\n",
-      "  [[0.25490196 0.25882353 0.2745098 ]\n",
-      "   [0.25490196 0.25882353 0.2745098 ]\n",
-      "   [0.25490196 0.25882353 0.2745098 ]\n",
-      "   ...\n",
-      "   [0.34117647 0.39607843 0.46666667]\n",
-      "   [0.28235294 0.3372549  0.41176471]\n",
-      "   [0.31764706 0.37254902 0.44705882]]\n",
-      "\n",
-      "  [[0.25490196 0.25882353 0.2745098 ]\n",
-      "   [0.25490196 0.25882353 0.2745098 ]\n",
-      "   [0.25490196 0.25882353 0.2745098 ]\n",
-      "   ...\n",
-      "   [0.4745098  0.52941176 0.6       ]\n",
-      "   [0.51372549 0.56862745 0.64313725]\n",
-      "   [0.49019608 0.54509804 0.61960784]]]\n",
-      "\n",
-      "\n",
-      " ...\n",
-      "\n",
-      "\n",
-      " [[[0.70588235 0.52941176 0.39607843]\n",
-      "   [0.70196078 0.5254902  0.39215686]\n",
-      "   [0.69803922 0.52156863 0.38823529]\n",
-      "   ...\n",
-      "   [0.68235294 0.50588235 0.37254902]\n",
-      "   [0.67843137 0.50196078 0.36862745]\n",
-      "   [0.6745098  0.49803922 0.36470588]]\n",
-      "\n",
-      "  [[0.70196078 0.5254902  0.39215686]\n",
-      "   [0.70196078 0.5254902  0.39215686]\n",
-      "   [0.69803922 0.52156863 0.38823529]\n",
-      "   ...\n",
-      "   [0.68235294 0.50588235 0.37254902]\n",
-      "   [0.67843137 0.50196078 0.36862745]\n",
-      "   [0.67843137 0.50196078 0.36862745]]\n",
-      "\n",
-      "  [[0.70196078 0.5254902  0.39215686]\n",
-      "   [0.70196078 0.5254902  0.39215686]\n",
-      "   [0.70196078 0.5254902  0.39215686]\n",
-      "   ...\n",
-      "   [0.67843137 0.50196078 0.36862745]\n",
-      "   [0.67843137 0.50196078 0.36862745]\n",
-      "   [0.67843137 0.50196078 0.36862745]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.68627451 0.5254902  0.39607843]\n",
-      "   [0.68627451 0.52941176 0.39215686]\n",
-      "   [0.69411765 0.52941176 0.38431373]\n",
-      "   ...\n",
-      "   [0.6745098  0.50588235 0.37647059]\n",
-      "   [0.6745098  0.50588235 0.37647059]\n",
-      "   [0.6745098  0.50588235 0.37647059]]\n",
-      "\n",
-      "  [[0.6745098  0.5254902  0.39215686]\n",
-      "   [0.68627451 0.52941176 0.39215686]\n",
-      "   [0.69411765 0.52941176 0.38431373]\n",
-      "   ...\n",
-      "   [0.67843137 0.50980392 0.38039216]\n",
-      "   [0.67843137 0.50980392 0.38039216]\n",
-      "   [0.67843137 0.50980392 0.38039216]]\n",
-      "\n",
-      "  [[0.6745098  0.5254902  0.39215686]\n",
-      "   [0.68235294 0.5254902  0.38823529]\n",
-      "   [0.69411765 0.52941176 0.38431373]\n",
-      "   ...\n",
-      "   [0.67843137 0.50980392 0.38039216]\n",
-      "   [0.67843137 0.50980392 0.38039216]\n",
-      "   [0.6745098  0.50588235 0.37647059]]]\n",
-      "\n",
-      "\n",
-      " [[[0.38431373 0.36862745 0.36470588]\n",
-      "   [0.38431373 0.36862745 0.36470588]\n",
-      "   [0.38823529 0.37254902 0.36862745]\n",
-      "   ...\n",
-      "   [0.35294118 0.34509804 0.34117647]\n",
-      "   [0.34901961 0.34117647 0.3372549 ]\n",
-      "   [0.35294118 0.34509804 0.34117647]]\n",
-      "\n",
-      "  [[0.38039216 0.36470588 0.36078431]\n",
-      "   [0.38431373 0.36862745 0.36470588]\n",
-      "   [0.38431373 0.36862745 0.36470588]\n",
-      "   ...\n",
-      "   [0.35294118 0.34509804 0.34117647]\n",
-      "   [0.35294118 0.34509804 0.34117647]\n",
-      "   [0.35294118 0.34509804 0.34117647]]\n",
-      "\n",
-      "  [[0.38039216 0.36470588 0.36078431]\n",
-      "   [0.38039216 0.36470588 0.36078431]\n",
-      "   [0.38431373 0.36862745 0.36470588]\n",
-      "   ...\n",
-      "   [0.36078431 0.34509804 0.34117647]\n",
-      "   [0.35294118 0.34509804 0.34117647]\n",
-      "   [0.35294118 0.34509804 0.34117647]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.0627451  0.19607843 0.24705882]\n",
-      "   [0.09411765 0.22745098 0.27843137]\n",
-      "   [0.09803922 0.23137255 0.28235294]\n",
-      "   ...\n",
-      "   [0.29803922 0.28235294 0.27843137]\n",
-      "   [0.30196078 0.28627451 0.28235294]\n",
-      "   [0.30196078 0.28627451 0.28235294]]\n",
-      "\n",
-      "  [[0.16862745 0.30588235 0.34509804]\n",
-      "   [0.21176471 0.34901961 0.38823529]\n",
-      "   [0.2        0.3372549  0.38823529]\n",
-      "   ...\n",
-      "   [0.29803922 0.28235294 0.27843137]\n",
-      "   [0.30196078 0.28627451 0.28235294]\n",
-      "   [0.30196078 0.28627451 0.28235294]]\n",
-      "\n",
-      "  [[0.14117647 0.27843137 0.31764706]\n",
-      "   [0.16470588 0.30196078 0.34117647]\n",
-      "   [0.21568627 0.35294118 0.40392157]\n",
-      "   ...\n",
-      "   [0.29803922 0.28235294 0.27843137]\n",
-      "   [0.30196078 0.28627451 0.28235294]\n",
-      "   [0.29803922 0.28235294 0.27843137]]]\n",
-      "\n",
-      "\n",
-      " [[[0.29411765 0.30588235 0.32156863]\n",
-      "   [0.30980392 0.32156863 0.3372549 ]\n",
-      "   [0.32156863 0.34117647 0.35294118]\n",
-      "   ...\n",
-      "   [0.24705882 0.25882353 0.2745098 ]\n",
-      "   [0.24313725 0.25490196 0.27058824]\n",
-      "   [0.23921569 0.25098039 0.26666667]]\n",
-      "\n",
-      "  [[0.32156863 0.33333333 0.34901961]\n",
-      "   [0.33333333 0.34509804 0.36078431]\n",
-      "   [0.34509804 0.36470588 0.37647059]\n",
-      "   ...\n",
-      "   [0.28627451 0.29803922 0.31372549]\n",
-      "   [0.27843137 0.29019608 0.30588235]\n",
-      "   [0.2745098  0.28627451 0.30196078]]\n",
-      "\n",
-      "  [[0.33333333 0.34509804 0.36078431]\n",
-      "   [0.34901961 0.36078431 0.37647059]\n",
-      "   [0.36470588 0.37647059 0.39215686]\n",
-      "   ...\n",
-      "   [0.32941176 0.34509804 0.36470588]\n",
-      "   [0.31764706 0.33333333 0.35294118]\n",
-      "   [0.31372549 0.32941176 0.34901961]]\n",
-      "\n",
-      "  ...\n",
-      "\n",
-      "  [[0.25098039 0.25490196 0.27058824]\n",
-      "   [0.25882353 0.27058824 0.28627451]\n",
-      "   [0.27843137 0.29411765 0.29803922]\n",
-      "   ...\n",
-      "   [0.19215686 0.18039216 0.18823529]\n",
-      "   [0.18823529 0.17647059 0.18431373]\n",
-      "   [0.18039216 0.16862745 0.17647059]]\n",
-      "\n",
-      "  [[0.23137255 0.22745098 0.24313725]\n",
-      "   [0.23529412 0.23921569 0.25490196]\n",
-      "   [0.24313725 0.24705882 0.2627451 ]\n",
-      "   ...\n",
-      "   [0.19215686 0.18039216 0.18823529]\n",
-      "   [0.18823529 0.17647059 0.18431373]\n",
-      "   [0.18039216 0.16862745 0.17647059]]\n",
-      "\n",
-      "  [[0.22745098 0.22352941 0.23921569]\n",
-      "   [0.22745098 0.22352941 0.23921569]\n",
-      "   [0.21568627 0.21960784 0.23529412]\n",
-      "   ...\n",
-      "   [0.18823529 0.17647059 0.18431373]\n",
-      "   [0.18039216 0.16862745 0.17647059]\n",
-      "   [0.17254902 0.16078431 0.16862745]]]]\n",
-      "[2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1]\n",
-      "[1, 1, 2, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 2, 2, 2, 1, 2, 1, 1, 2, 2, 1, 2, 1, 2, 2, 1, 1, 1, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1, 2]\n"
+      "Expected Result: [1, 1, 1, 1, 1, 2, 2, 2, 2, 2]\n",
+      "Predicted Result: [1 1 1 1 1 2 2 2 2 1]\n",
+      "Accuracy: 90.00%\n"
      ]
     }
    ],
    "source": [
-    "from sklearn import tree\n",
-    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "\n",
+    "# Calculate and print the accuracy\n",
+    "# Print the test labels\n",
+    "print(\"Expected Result:\", y_test)\n",
+    "print(\"Predicted Result:\", predictions)\n",
     "\n",
+    "# Calculate and print the accuracy\n",
+    "accuracy = accuracy_score(y_test, predictions)\n",
+    "print(\"Accuracy: {:.2f}%\".format(accuracy * 100))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also try to split the train set in 80/20 to get a larger training set and compare the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here we split our data into training and testing sets\n",
     "X_train, X_test, y_train, y_test = train_test_split(processed_images, labels, test_size=0.2, random_state=42)\n",
-    "print(X_train)\n",
-    "print(X_test)\n",
-    "print(y_train)\n",
-    "print(y_test)\n",
+    "\n",
+    "# And then we do the same as before, train the model and predict on the test set\n",
     "\n",
     "# Initialize the model\n",
-    "#clf = tree.DecisionTreeClassifier()\n",
+    "clf = tree.DecisionTreeClassifier()\n",
+    "\n",
+    "# Flatten the images from 4D to 2D\n",
+    "X_train = X_train.reshape(X_train.shape[0], -1)\n",
+    "X_test = X_test.reshape(X_test.shape[0], -1)\n",
     "\n",
     "# Train the model\n",
-    "#clf = clf.fit(X_train, y_train)\n",
+    "clf = clf.fit(X_train, y_train)\n",
     "\n",
     "# Predict on the test set\n",
-    "#predictions = clf.predict(X_test)"
+    "predictions = clf.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Expected Result: [1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 2, 2]\n",
+      "Predicted Result: [1 1 1 2 1 2 1 2 1 2 1 2 2 2 2 2 2 1 2 1 1 1 1 2 1 2 1 2 2 1 1 1 2 1 2 1 1\n",
+      " 1 1 2 1 1 2 2 1 2 2 2 1 2 2 2 1 2 1 2 2]\n",
+      "Accuracy: 77.19%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate and print the accuracy\n",
+    "# Print the test labels\n",
+    "print(\"Expected Result:\", y_test)\n",
+    "print(\"Predicted Result:\", predictions)\n",
+    "\n",
+    "# Calculate and print the accuracy\n",
+    "accuracy = accuracy_score(y_test, predictions)\n",
+    "print(\"Accuracy: {:.2f}%\".format(accuracy * 100))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualize the decision tree "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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m7mZ+7ebuDkBiYoL5+d8SExIY9eF7zFywLFs/Lq6uVK9Vm/GjP2bEyDEcO3KIRfPnUKBgIQCsra3pFNqNvr17kJqSgoODA79Pn4Ojo+NdxywiIiLysNGKCBEREREREbGYC+fP41u4cJZrhQsH/GcbL29v83NHRyeSkhLzJDYAZ2cXEuITzK8T4uMBcHFxzVZ37Ccf0iWsO4FFgnLs67ufJ3P2zCkqlQzirdf70zm0O35+N+e+bs0fjBzxDgtXrCXqajKTps+l73M9iI46l/uTEhEREXnAlIgQERERERERi/H28eFCdHSWa1FRkXkyVpC3+y0fs6ZPy7FNqdJlOLj/nxUXB/fvxdevcLbVEAAb1q7hp+8mUrZYYcoWK0zUuUie796F/33zJQABgUWYOmsBh89eYNnazVyJvWxe/XFg315q12tAuQqVsLa2pn6jJvgHFmHH1i158E6IiIiIPFjamklEREREREQspmqNWphMJn754Tt69X6JlcuWsHvHduo3bJLrY52Jyflch//StVsPXuv3Eh27hOHl7cPnYz8hrHuvHOvOXrSCtPQ08+sW9WsycuznNGraHIBjRw7jV9gfO3t75s+ZydpVK/lz5wEAKlaqwjefj+fQgf2Ueaocmzas4/jRw5QqU/YeZioiIiLycNGKCBEREREREbEYe3t7fp02k8m//kRI4QLMCp9Ks6db4+DgYOnQAGjc7GleeW0Q7Z5uTKXSRQkMKsrgYcPN5fWqljevpvAsUABvbx/zw8bGhvz58+Ps7AzAmlUrqFo2hJIBhZj8y49Mn7+EgoVunhFRp35DXn9zGL3COlLUx4PBA/sxZsLXlChV+sFPWkRERCSXWZlMJpOlgxAREREREZG85ePjQ+8+/XnjrXcsHcptPd2wFr379KeroYelQ5Ec/PDNV4z+aDiJiXl3NoeIiIg8XrQiQkRERERERCxq4/q1XIyJIT09nfApv3Pk0EEaNWlu6bBEREREJJfojAgRERERERGxqGNHj/DSs924fj2JIkHF+HnKdAp5eVk6LBERERHJJUpEiIiIiIiIiEU9/1Jfnn+pr6XDEBEREZE8oq2ZREREREREREREREQkzygRISIiIiIiIo+1iLNn8HLRhgAiIiIilqJEhIiIiIiIiMgDkJqaymv9XqRSqaIU881Py0a12b51s7l8x7YtdGrdjOL+BSlT1I+BfV8gIT7eXB7WoTVB3u7mR+H8jjSoXtECMxERERG5O0pEiIiIiIiIiDwA6enpBAQWYeHKdZyIiuXZF/vSo0s7EhMTAYiPu8bzL7/C7iNn2Lr3CFevxPLBO2+Z24fPXcyZmDjzo1qNWrTt0MlS0xERERG5Y0pEiIiIiIiISJ76Ytxongr2p5hvfupXq8DhgwcAWLF0EQ1rVqaojwdVy4bw64/fm9tsXL+WKmWC+XzsJ5QM9KJy6WJs/nM90yb9SvnigZQLCWD5koXm+u2fbsyYj0bQokFNgv086RXagatXruQYz7WrV+n/0nOUKepHpVJF+farCeayHdu20Lh2VYr55qdcSADffPlZrr0Pzs7ODBk2HP+AQKytrQnr3guAk8ePAtC42dO0adcBFxcXXN3c6PHcC+zYtiXHviLOnmHLpj/p2q1nrsUnIiIikleUiBAREREREZE8c/zoEX776X+s2rSDk9FX+GXqDDwLFADA2dmF73+ZzMnoK0z88Tc+fPctDuzfa24bHXUOG1tbDp6KxtDzOfq90ItDB/az4+AJ3v1gJG+9/mqWsaZN/o0vvv2Jfccjsbd34J03X88xpgF9nsfNzZ2dh06ycOU6Jv3yI38sXwLA8LcH8cprgzh1/ip/7thP/YaNc+xj9gwjIYUL3PJxp+/N9aQkihYLybF825ZNlCxdJseyGdMmU7N2XQKLBN3RWCIiIiKWpESEiIiIiIiI5BkbW1tupKZy/MhhMjIyCClREm8fXwDq1G9IqTJlsba2pmbtujRo3Iytmzaa2zrky8errw/B1taWdh27EB11jteGDMXe3p52nbpyPjqK2MuXzfXDuveidNmncHZ2ZtiIj1gwZyYZGRlZ4rkYE8O61X/wwSdjcXR0xD8gkJ7Pv8iCubMBsLW14/TJE1y9cgV3Dw/KVaiU47w6dTVwIir2lo/buX79Ov1feo6Bg9/Gzd09W/mWTX8y6ZcfGTz0vRzbzzBOIazHs7cdR0RERORhoESEiIiIiIiI5JliwSF8MHocoz58j7LF/Hit34vEx8UBsHXzRp5p3pCSgV4E+3nyx/IlXIn9J7FQoEBBrK1v/tqaz9ERgEJeXgA4/vU6KSnRXL9wQKD5uX9gEdLS0rIkKgDORZ4lNTWVssX8zKsXxo/+mEsXYwD4/JsfOHr4EDUqlKR103ps2fRnbr8lpKWl8UKPrhQLKc6QYcOzlR86sJ/e3bvy7U+/57giYsumP7kYc4E27XU+hIiIiDwalIgQERERERGRPNXV0IOlqzeyadchzkVG8M0X4wHo/+KztOvUlX3HIzkZfYWmLVphMpnueZyoyIgsz+3s7ChQsGCWOn6F/XF0cuJY5CXz6oXTF65hnLMIgJASJflpcjiHTp+nY+cw+jzXPcexZk2fRpC3+y0ft5KZmUn/F5/FxsaGiT/8ipWVVZby06dOYujYho8//YxmT7fOsY8Z0ybT+pmbZ0mIiIiIPAqUiBAREREREZE8c+LYUTauX8uNGzdwdHLCwcEBaxsbAJISE8mf3xN7e3vWr1nFutUr72us6dMmc/TwIa5fv86Yj9+nbftO2Pw11t98fP2oU68BHw0fSmJiIpmZmRw9fIg9u3YANxMMV2JjsbW1xdnVNVv7v3UO7caZmLhbPm5lyMB+xFw4z0+Tp2Nra5ulLDrqHF3atuC1IUPp1NWQY/vk5GTmz5lpPuhaRERE5FGgRISIiIiIiIjkmdQbqXw0fCglA72oVCoIFxdX+r82GIAxE77mw/feJtjPk6m//3LLFQB3Kqx7Lwb27c1TwYVJTr7OJ+O/zLHeNz/+TnxcHLUrlaFEQCFe6/cCcXHXAFi1Yhl1KpelqI8HP377Nd/8+Nt9xfRvkRFnmfLbz+zeuZ1SRbzNqydmTZ8GwNTffyHi7Bk+Gj70lqsrli6cj7u7B3UbNMq1uERERETympXpfta9ioiIiIiIyCPBx8eH3n3688Zb71g6lDzR/unGhPV4Vgc4PwA/fPMVoz8aTmJi4u0ri4iIiKAVESIiIiIiIiIiIiIikoeUiBARERERERERERERkTxje/sqIiIiIiIiIg+3ectWWzoEEREREbkFrYgQEREREREREREREZE8o0SEiIiIiIiIPBBjR33IgD69LR2GmZeLLUFebnw2ZqSlQ8kzG9evJcjbHW9XOzauX2vpcEREROQJpUSEiIiIiIiIPLHWb9/H4KHvAXDjxg2e79aFCiWK4OViS8TZM1nqmkwmPho+lJKBXpQM9GLk++9gMpkA2LJxA0He7lkeXi62LJw3547iGPPRCOpUfgpvVzvCp/yepWzlssW0alKXYD9PyoUEMHzoYNLS0szlqampvNbvRYL9PClbrDA/fPOVuaxO/YaciYnDPyDwXt4eERERkVyhRISIiIiIiIjIX2rXrc8vU2fkWDbplx9ZsWQxa7fsZu2W3SxbtJCpv/8CQM069TgTE2d+TJ05H2cXFxo3a3FH4xYNKc6o8Z9TuWq1bGUJ8Qm8+c4IDpyMYtXGHWzfsolvvhhvLh/3yYecPX2KnQdPMnfJH3z52aesW/PHPcxeREREJG8oESEiIiIiIiJ37KsJY3n52W5Zrg3o05txn3wEwJfjx1C1bAhFfTxoXLsqWzZuyLGfjevXUqVMcJZrVcoEm7cPyszMZMKno6haNoTSRXx4o//LXL9+Pfcn9C/29va89MoAqlSrkWP59GmTeOW1Qfj6FcbXrzD9Br5B+NTfb1F3Mm3bd8LZ2fmOxg7t1pOGjZvh4JAvW1nHrmE0atIcR0dHvLy96RzanR3btvwz1tTJDB76Hh7581OiVGl6PvcC4VMm3dG4IiIiIg+CEhEiIiIiIiJyxzp0DmXl8iUkJSUBkJKSwpKF8+jU1QBAseDiLF79JyeiYgnr3ouXnu1GamrqXY/zv2++ZM0fK1i8agM7D5/i2tWrjPvkwxzrzp5hJKRwgVs+csvRw4coW668+XXZcuU5evhQtnpJSUksnDeb0G49c23sf9u2ZRMlS5cB4NrVq8RcOE/ZchX+FVeFHOMSERERsRQlIkREREREROSOBQQWocxT5Vi+eCEAfyxfSrHg4hQLKQ5A2w6d8Pb2wcbGhpf7DyQlJZnTJ0/c9ThTfv2Zd97/GG8fX5ycnHhtyNssnDs7x7qduho4ERV7y0duSUpMxNXN3fzazc2dxISEbPUWL5hLgQIFqV2vQa6N/bd5s2awccM6+r76xs2YkhJvxuL+T1yu7m4kJmaPS0RERMRSbC0dgIiIiIiIiDxaOnYOY97s6XTsGsa8WdPp0CXUXDZt0q98//UXREVFYmVlRUJ8PFdiL9/1GOciz9K9SzusrW/eP2cymcjIyMi1OdwLZxcXEhPiza8TEuJxcXXNVm/61El0MfTAysoqV8ffsHY1wwYPxDh3EYW8vG7G5OxyM5b4ePJ7ev71PAEXl+xxiYiIiFiKVkSIiIiIiIjIXWnboTPr16wi6lwkf6xYSvtOXQGIOHuGoYMGMOGb/3H83GVORMXi5u6OyWTK1oeTszPJ/zrzISMjg9jLl8yvfQv7M3PBMvOqhpPRVzgTE5djPLOmTyPI2/2Wj9xSsnQZDu7fZ359cP8+8xZJf4s6F8mmDevomsvbMu3cvpWXn+3GT5PDqVi5qvm6R/78ePv4cnD/3n/FtTdbXCIiIiKWpESEiIiIiIiI3BUvb2+q1azNwL4vUKFiZfwK+wNwPSkJKysrChQsRGZmJl9NGEtCfHyOfQSHlOD69SRW/7GctLQ0Jnw6KstZEj2ff5HRH40gOuocABfOR7P6j+U59tU5tBtnYuJu+bgbqamppKSkAHDjr+d/J1K6Gnry7ZcTuHA+mgvno/nuq88J6/5slvYzjVOoVqMWRYtlPYh74/q1eLncelOCtLQ0UlJSyMzMND//ewXIoQP76dmlPZ9/+yN16jfM1rZrtx5M+HQUcdeucfzoEab+/gthPXrd1bxFRERE8pISESIiIiIiInLXOnYJY8Pa1XToEma+VqpMWV7o259m9apToUQRMjMyKOwfkGN7N3d3xkz4moF9XqBC8UCcnJ3NCQ2Avq++ToPGTWnfsgnFfPPTsVUzThw9mufzql2pDIEFb253VLtyWQILuhAZcRaAZ194maZPt6R+9QrUr16B5q1a0/3Z3lnaz5g2hdDu2ZMA0dFRVKtZ65bjDnq1D4EFXdiy6U8GD+hLYEEXZhqnAPD9xC+4ciWWvr17mFd51Kv6z6HZb737AQFFgqhUuijtnm7Mq28MoUGjpvf9XoiIiIjkFitTTmtkRURERERE5LHi4+ND7z79eeOtdywdykMjoIAz9g4OvPr6kDx/XwYP6Efrdu1p3LRFno7z/23asI5eYR25kZrK9HlLqFW3/n33+cM3XzH6o+EkJibmQoQiIiLyJNBh1SIiIiIiIvJEioxNemBjffb1dw9srH+rXa8BJ6JiLTK2iIiIyN+0NZOIiIiIiIiIiIiIiOQZJSJERERERERERERERCTPKBEhIiIiIiIiIiIiIiJ5RokIERERERERySJ8yu+0f7qxpcMQERERkceEEhEiIiIiIiKPsZMnTzJy5EiuXYuzdCi5btWKpbRpVp8gb3fKFPWjU+tmrF29EoCxoz7EzyMfQd7uhBQuQKsmddm+dbO57cb1a/F2tSPI2z3L49iRwwBs2fQnrZrUJdjPkxIBhWjdtB67d27ni3GjzXUDCjjj42Zvfl2vankAvFxsCfJyy9LvpF9+BGBAn94Uzu9IUR8Pivp40KhWFT4bM5Lk5OR7nivA4YMHMHRsQzHf/BTzzY+hYxsOHdhvLr9VcqlKmWA2rl+b5drI99/By8WWo4cP3TKe1NRUPvjgA44ePfqfcYuIiIiAEhEiIiIiIiKPnejoaD7//HOqV69OSEgIY8aMwdbWxtJh5ap5s2bw0rPd6N6rN/uPR7L/RCQDBr/F8sWLzHU6hXbjTEwcR87GULdeQ17sGZalD/+AQM7ExGV5lChVmoT4eHp2bc9LfQdwLPISe49FMGTYcOwdHHj9zWHmuuO+/JaateuaX2/Ysc/c9/rt+7L026v3S+ay14YM5fSFaxw8Fc3o8V+wZOF8Qtu1JDMz857meurkCdo2b0CVajXYffg0uw+fpnLV6jzToiGnTp64q/c1MzOTWeHTyO/pyQzj5FvWs7a2ZsKECZQqVYrKlSszbtw4IiMj72osEREReXIoESEiIiIiIvIYuHLlCj/++CONGjXC39+foUOH4ufnR3h4OBcvXsTFxSVbm6hzkTwb1onSRXwoXcSHke+/k2Pf7wx5nfLFAynmm582zepz+OABc9mKpYuoXaksRX08qFImmFnTpwFw8vgx2jZrQLCfJ2WCfBn+9qBcm6vJZOKDd99iyLDhGHo+h6ubGzY2NjRs3IzRn32Zrb6trS2dQrtxPjqKy5cu3bb/kyeOYWNtQ4cuodjY2ODo6EijJs0p+1T5XJsDgJOTEzXr1GPS9Dns27OLFUsXZ6tzJ3Md98lH1K5bnyHDhuPu4YG7hwdvvjOCGrXqMH70x3cV04Z1q0lIiGfEx2OYPd14y+SInZ0dFy9eZPbs2QQHBzN8+HACAwOpV68e3377LZfu4H0WERGRJ4cSESIiIiIiIo+oxMREpk2bRtu2bfHx8aFv377Y2try008/ERMTw7x58wgNDcXJySlb24yMDLp3bkdIiRLsPHyKnYdP0aJV2xzHqVytOuu37eXI2RgqV63Oqy8/by57o38fPv/2B05fuMbSNZt4qlwFAD4d+QFNW7TkRFQs2w+eoH3n0Bz73rLpT0IKF7jl41xkRLY2J44dJTrqHG3adbyj9yk1NZXp0ybh6VkAj/z5b1s/OKQEJkwM7PsCq1Ys5drVq3c0zr0q7B9A+YqV2br5z2xldzLX9WtW0apt+2zX27TryPo1q+4qlhnTptCqbXvadw7l2tUrbFi3+pZ18+XLR8eOHZk5cyYXL17k999/x8XFhYEDB+Lr68vTTz/N77//Tnx8/F3FICIiIo8fJSJEREREREQeIampqcyfP5+wsDC8vLzo3r07sbGxfPbZZ0RFRbFy5Up69+6Nh4fHf/aza8c2Ll+6yDvvj8TJyQknJyeq1aiVY93Ood3wyJ8fe3t7hgwdzv69u0lKSgJu3hl//OgREhMT8fL2plSZsgDY2tkRGRHBxZgLODs7U6VajRz7rlm7LieiYm/58A8IzNbmypVYALy8ff5zjnNmGAkpXIAihVyZ8tvP/DQ5HFtbW3P5uciIbIkPAFc3NxauWIfJZGLQq30pHeRDz67tuRgT85/j/VvDmpWy9LtlU/Ykw7/5+PoRd+3aPc31SuxlvLy9s1339vHhSuzlO445MTGRxQvm0rFrGM7OzrRo1ZaZxql31NbNzY1evXqxdOlSzp8/z9dff01ycjLPPfccXl5edOrUiVmzZt32LAwRERF5PCkRISIiIiIi8pDLyMjgjz/+4IUXXsDHx4f27dtz+PBhRowYwenTp9m0aRMDBgzAx+e/v5j/t+hz5wgIDMTG5vZnR3w5fgw1K5ammG9+KpcpBmD+gvvnKdNZsnAeFUsWoWu7luYDjt8fOYa0tBs0qlWFxrWrsmTh/HuYec48PW8mDC7GXPjPeh27GjgRFcvBU9GULvMUu3ftyFLuHxCYLfHxtxKlSvP1/35h77GzrN+2lwvnz9/V9lJrt+zO0m/N2nX/s/6F89G455A8upO55vcskGOSJObCBTwLFATAxtaWtPS0bHXS0tKwtbMDYNH8OTg5OVO/YRMAOnQJY/GCueak050qVKgQ/fr1Y926dURGRjJq1CjOnDlDly5d8Pb2Nics0tKyxyMiIiKPJyUiREREREREHkImk4nNmzczcOBAChcuTLNmzVi3bh2vvvoqBw8eZO/evQwdOpSgoKB76t/P359zkZG3PAPgb5s2rOOHb79mUvgcTkZfYdehU+b4AKpUq8G02Qs5eCqap8pXYPDAvgB4+/jy5Xc/cfBUFG++M4KXnzXk+IX2lo0bCPJ2v+Ujp62ZQkqUxK+wP4sXzL2juRYoWJDPvv6ez8aMJObC+Ttq82/FS5YirHsvjhw6eNdt70R01Dn27dmVY7LiTuZav2Fjliycl+36ovlzqNugEQD+/gGci4gw/38DuH79OpcvXSQgsAgAM6dNJj7uGuWLB1K2WGEG9X+ZpL9WSdwrf39/Bg8ezM6dOzl69CiDBw9m27ZttGrVCj8/P/r168f69etv++dQREREHm1KRIiIiIiIiDwkTCYT+/btY9iwYRQrVozatWsze/ZsunXrxrZt2zh+/Dgff/wxZcqUue+xKletjqdnAcZ8NILr169z/fp1tm/dnK1eUlIidnZ2eBYoSGpqKmNHfWguu3HjBrNnGEmIj8fOzg5nZxdsrG+usFg4dzYXzkdjZWWFu7s7VlZWWFtn/xW0Zp16nImJu+Ujp62ZrKys+GDUWMaP/pjp0yaTmJBARkYGf65bwztDXs9xviElStK4aQsmfjH+tu/N8aNH+ParCURHnQNuHuo9Z1Y4VarnvL3UvUpOTmbr5o08Z+hM+YqVafZ062x17mSuQ4YNZ+OGdXw2ZiTxcXHEx8Ux7pOP2LLpT94cNhyAytVqYGdnx8QvxpOamkpiYiIjR7xD5WrV8SvsT9S5SDZuWMe02QtZvXknqzfvZM3W3Tz3Yl9mTJucK/MtUaIE77//PocPH2bXrl08//zzLF68mAYNGlCkSBGGDBnCzp07syRLRERE5PGgRISIiIiIiIiFnTx5kpEjR/LUU09RoUIFfvjhB5o3b86aNWuIiIhgwoQJVKtWDSsrq1wb08bGhskz53Ho4H4qlixC1TLBrFy6OFu9xs2epm6DRlQvX4KaFUpRtlz5LOXTp06icpliFPcvyNpVK/n084kA7Nq5jWb1ahDk7c6br/Xnu1+m4OjomGvxt+/clf/9OoVJv/zAU8GFKRfsz+fjRvN065wP3Abo//pgJv/6E7GXb24rdS4yItsKjHVr/sDF1ZVd27fxdMPaBHm50bJRHUqVfooPPxl3x/HVr1Y+S7+fjvzAXPbl+DEU9fGgdJAPb78xgOYtWzN9/tIcEzV3MteQEiVZsGIt27dupkLJIlQoWYQd27Ywf/kagouXAMDBwYEpM+ezYe1qKhQPpHq5EsRcOM+PvxsBmBU+lYqVq1C/URO8vX3Mj5dfGcDG9Ws5Hx11x3O/HSsrKypVqsTYsWM5c+YMGzZs4JlnnmHSpElUrVqVUqVK8f7773PkyJFcG1NEREQsy8qkWw1EREREREQeuOjoaKZPn47RaGT79u04OzvTvn17DAYDzZo1w97ePlfH8/HxoXef/rzx1ju52q88eX745itGfzScxMTEXO03PT2dVatWYTQamTt3LvHx8VSsWJFu3boRGhpKYGD21TEiIiLyaNCKCBERERERkQckNjaWH374gUaNGuHv78/QoUMpXLgw06dP5+LFi0yZMoXWrVvnehJC5FFga2tLixYt+O2334iJiWH27NmEhIQwYsQIihQpQr169fj222+5dOmSpUMVERGRu6REhIiIiIiISB5KTExk6tSptGnTBh8fH/r164ednR0///wzMTExzJ07l65du+Lk5JTnsehAYMkNmaa8/3OUL18+OnbsyMyZM4mJiWHSpEm4uroycOBAfH19efrpp/n999+Ji4vL81hERETk/ikRISIiIiIikstSU1OZN28eoaGheHl50aNHD65cucKECROIjo5mxYoVPP/883h4eDywmDw9PTkfHf3AxpPHV3TUOTw9PR/YeG5ubvTs2ZMlS5Zw4cIFJk6cSHJyMs899xze3t506tSJWbNmkZyc/MBiEhERkbujMyJERERERERyQXp6OmvWrMFoNDJnzhzi4uKoUKECBoOB0NBQgoKCLBrfG2+8wZSpU1mzeRfePr4WjUUeXbGXL9OkTlVat2rJDz/8YNFYzp07Zz5nZefOnbi6uprPWWnatCl2dnYWjU9ERET+oUSEiIiIiIjIPTKZTGzevBmj0ciMGTO4ePEiISEhGAwGwsLCKFOmjKVDNDtz5gx169Yl9cYNWrXtgK+fH9bWWiQvd8ZkMhFz4QJLFszFZMpk/fr1lCxZ0tJhmR07dozw8HCMRiNHjhyhQIECdOnSBYPBQN26dfVnXURExMKUiBAREREREbkLJpOJffv2YTQaCQ8P5+zZs/j5+REaGorBYKBq1apYWVlZOswcnT59mq+++oply5Zx5coVS4cjjxgPDw+aN2/OwIEDKV68uKXDyZHJZGLv3r3mv58RERH4+/ub/35Wrlz5of37KSIi8jhTIkJEREREROQOnDhxAqPRiNFo5PDhw3h6etK5c2cMBgP16tXDxsbG0iGKyL9kZmayefNmpk2bxsyZM7l06RLFixfHYDBgMBgoVaqUpUMUERF5YigRISIiIiIicgtRUVHmPeh37NiBs7OzeQ/6Zs2aYW9vb+kQReQOpKens3r1avMZLvHx8VSsWNG8jVpgYKClQxQREXmsKREhIiIiIiLyL7GxscyaNQuj0cj69euxs7OjVatWGAwG2rRpg5OTk6VDFJH7kJKSwtKlSzEajSxcuJCUlBTq1KmDwWCgS5cueHl5WTpEERGRx44SESIiIiIi8sRLTExk/vz5GI1Gli9fTmZmJk2aNMFgMNChQwc8PDwsHaKI5IGEhATmzZuH0Whk5cqVmEymLH/33d3dLR2iiIjIY0GJCBEREREReSKlpqZmuSs6OTmZ2rVrm++K9vb2tnSIIvIAXb582bwaasOGDdjb22dZDeXo6GjpEEVERB5ZSkSIiIiIiMgTIz09nTVr1pj3iY+Li6NChQoYDAZCQ0MJCgqydIgi8hA4d+6c+XyYnTt34uLikuV8GDs7O0uHKCIi8khRIkJERERERB5rJpOJzZs3YzQamTFjBhcvXiQkJASDwYDBYKB06dKWDlFEHmLHjh0jPDwco9HIkSNHKFCgAJ07d8ZgMFCvXj2sra0tHaKIiMhDT4kIERERERF57JhMJvbt24fRaCQ8PJyzZ89SuHBhQkNDMRgMVKlSBSsrK0uHKSKPEJPJxN69e80/VyIiIvRzRURE5A4pESEiIiIiIo+NEydOYDQaMRqNHD58GE9PT7p06aI7l0UkV2VmZmZZaXXp0iWKFy9OWFiYVlqJiIjkQIkIERERERF5pEVFRZn3ct+xYwfOzs506NBBe7mLyAORnp7O6tWrzWfPxMfHm8+eCQsLo0iRIpYOUURExOKUiBARERERkUdObGwss2bNwmg0sn79euzs7GjVqhUGg4E2bdrg5ORk6RBF5AmUkpLC0qVLMRqNLFy4kJSUFOrUqYPBYKBLly54eXlZOkQRERGLUCJCREREREQeCQkJCcyfPx+j0ciKFSvIzMykSZMmGAwGOnTogIeHh6VDFBEx+/8/s0wmU5afWe7u7pYOUURE5IFRIkJERERERB5a/767eNGiRSQnJ1O7dm3z3cXe3t6WDlFE5LYuX77M7Nmzzau47O3ts6zicnR0tHSIIiIieUqJCBEREREReahov3UReZydO3eOGTNmmM+1cXFxoX379jrXRkREHmtKRIiIiIiIiMVlZmayefNmjEYjM2fO5OLFi4SEhGAwGDAYDJQuXdrSIYqI5Lrjx48THh6O0Wjk8OHDFChQgM6dO2MwGKhXrx7W1taWDlFERCRXKBEhIiIiIiIWYTKZ2Lt3L0ajkfDwcCIiIihcuDChoaEYDAaqVKmClZWVpcMUEclzJpOJffv2mX8enj17Vj8PRUTksaJEhIiIiIiIPFAnTpzAaDQybdo0jhw5ojuARUT+JTMzky1btmA0GpkxY4ZWiImIyGNBiQgREREREclz586dY/r06YSHh2tPdBGRO6Qzc0RE5HGhRISIiIiIiOSJy5cvM2vWLIxGIxs2bMDe3p5WrVphMBho3bo1Tk5Olg5RROSRkZKSwtKlSzEajSxcuJCUlBRq166NwWCgS5cueHt7WzpEERGRW1IiQkREREREck1CQgLz58/HaDSyYsUKTCYTTZo0wWAw0KFDB9zd3S0doojII+///6zNzMw0/6zt2LGjftaKiMhDR4kIERERERG5LzndpVunTh3zXbpeXl6WDlFE5LF1+fJlZs+ejdFoZP369djZ2ZlXn7Vp00arz0RE5KGgRISIiIiIiNy1nPYtr1ixIgaDgdDQUO1bLiJiAVFRUUyfPh2j0Wg+j6ddu3YYDAaaN2+u83hERMRilIgQEREREZE7kpmZyebNmzEajcycOZOLFy9SvHhxDAYDBoOBUqVKWTpEERH5y/HjxwkPD8doNHL48GE8PT3p3LkzBoOB+vXrY21tbekQRUTkCaJEhIiIiIiI3JLJZGLv3r0YjUbCw8OJiIigcOHChIWFYTAYqFy5MlZWVpYOU0REbsFkMrFv3z7zz/GzZ8/i5+dn/jlepUoV/RwXEZE8p0SEiIiIiIhkc/z4cYxGI0ajkSNHjlCgQAG6dOmCwWCgbt26upNWROQRZDKZzCvbZsyYwcWLFwkJCTGvbCtdurSlQxQRkceUEhEiIiIiIgLAuXPnzHuL79y5ExcXFzp06IDBYKBp06baW1xE5DGSnp7OmjVrzGf9xMXFUaFCBQwGA2FhYTrrR0REcpUSESIiIiIiT7DLly8za9YsjEYjGzZswN7entatW2MwGGjdujWOjo6WDlFERPJYSkoKy5Ytw2g0snDhQpKTk6lduzYGg4EuXbrg7e1t6RBFROQRp0SEiIiIiMgTJiEhgXnz5mE0Glm5ciUmk4mmTZtiMBho37497u7ulg5RREQsJCEhgQULFmA0Glm+fDmZmZk0adIEg8FAhw4d8PDwsHSIIiLyCFIiQkRERETkCZCSksKSJUswGo0sWrSIlJQU6tati8FgoHPnznh5eVk6RBERecjExsYye/ZsjEYj69atw87OjlatWmEwGGjTpg1OTk6WDlFERB4RSkSIiIiIiDym0tPTWbVqFUajkblz5xIfH0+lSpUwGAyEhoYSGBho6RBFROQRERUVxYwZMzAajWzfvh0XFxfatWuHwWCgefPmOkdIRET+kxIRIiIiIiKPkczMTDZt2oTRaGTmzJlcunSJEiVKmA8fLVWqlKVDFBGRR9yJEycwGo0YjUYOHz6Mp6cnnTt3xmAwUL9+faytrS0dooiIPGSUiBARERERecSZTCb27NmD0Whk+vTpRERE4O/vT1hYGAaDgUqVKmFlZWXpMEVE5DFjMpnYt28fRqOR8PBwzp49i5+fH6GhoRgMBqpWrap/f0REBFAiQkRERETkkXXs2DHzlz9HjhyhQIECdOnSBYPBQN26dXVHqoiIPDAmk4nNmzdjNBqZMWMGFy9eJCQkxJwUL1OmjKVDFBERC1IiQkRERETkEXLu3DmmT5+O0Whk586duLq60qFDB8LCwmjatKn26BYREYtLT09nzZo1GI1G5syZQ1xcHOXLlzdvExgUFGTpEEVE5AFTIkJERERE5CF3+fJlZs2ahdFoZMOGDdjb29O6dWu6detGq1atcHR0tHSIIiIiOUpNTWXp0qUYjUYWLlxIcnIytWvXxmAw0KVLF7y9vS0dooiIPABKRIiIiIiIPIQSEhKYN28e06ZNY+XKlQA0bdoUg8FA+/btcXd3t3CEIiIidycxMZH58+djNBpZvnw5mZmZNGnShLCwMDp27IiHh4elQxQRkTyiRISIiIiIyEMiJSWFJUuWYDQaWbRoESkpKdStW9d812ihQoUsHaKIiEiuiI2NZfbs2RiNRtatW4ednR0tW7bEYDDQtm1bnJycLB2iiIjkIiUiREREREQsKD09nVWrVmE0Gpk7dy7x8fFUqlQJg8FAaGgogYGBlg5RREQkT0VFRTFjxgyMRiPbt2/H2dmZ9u3bYzAYaNasGfb29pYOUURE7pMSESIiIiIiD1hmZiabNm3CaDQyc+ZMLl26RIkSJTAYDBgMBkqWLGnpEEVERCzixIkThIeHYzQaOXToEJ6ennTu3BmDwUC9evWwsbGxdIgiInIPlIgQEREREXkATCYTe/bswWg0Eh4eTmRkJP7+/oSFhWEwGKhUqRJWVlaWDlNEROShYDKZ2L9/v/nfzTNnzuDn50doaCgGg4GqVavq300RkUeIEhEiIiIiInno2LFjGI1GjEYjR48epWDBgnTp0gWDwUCdOnWwtra2dIgiIiIPNZPJxJYtWzAajcyYMYOYmBhCQkLMyfwyZcpYOkQREbkNJSJERERERHJZZGQk06dPx2g0smvXLlxdXenQoQMGg4EmTZpgZ2dn6RBFREQeSenp6axduxaj0cjs2bOJi4ujfPnyGAwGwsLCCAoKsnSIIiKSAyUiRERERERywaVLl5g1axZGo5ENGzbg4OBAmzZtMBgMtGrVCkdHR0uHKCIi8lhJTU1l2bJlGI1GFixYQHJyMrVq1cJgMNC1a1e8vb0tHaKIiPxFiQgRERERkXsUHx/PvHnzMBqNrFy5EoBmzZphMBho3749bm5uFo5QRETkyZCYmMiCBQswGo0sW7aMzMxMGjdujMFgoGPHjnh4eFg6RBGRJ5oSESIiIiIidyElJYXFixdjNBpZvHgxKSkp1KtXD4PBQOfOnSlUqJClQxQREXmixcbGMnv2bIxGI+vWrcPOzo6WLVtiMBho27YtTk5Olg5RROSJo0SEiIiIiMhtpKWlsWrVKoxGI3PnziUhIYHKlStjMBgIDQ0lICDA0iGKiIhIDqKiopgxYwbh4eFs27YNZ2dn2rVrh8FgoHnz5tjb21s6RBGRJ4ISESIiInLXMjIyOHjwINeuXbN0KPKI8fT0pEyZMlhbW1s6lNvKzMxk48aNGI1GZs6cyeXLlylZsqT5MMySJUtaOkQRERG5CydPniQ8PJxp06Zx6NAhPD096dSpEwaDgfr162NjY2PpEG8rLS2N/fv3k5iYaOlQ5BGTL18+ypUrp3PLxGKUiBAREZG78tNPP/Hue8O5GHPB0qHII8qvsD+fjhlNjx49LB1KNiaTid27d2M0Gpk+fTqRkZEEBAQQFhaGwWCgYsWKWFlZWTpMERERuQ8mk4n9+/djNBoJDw/nzJkz+Pn50bVrV7p160bVqlUfyn/vx44dy9hPxxB75aqlQ5FHlLOTI71feJHPP//8kUi8yeNFiQgRERG5Y3PnzqVjx45Uat6VGs/0xK2gLzyEv6TJw8mUmUncpWg2z/mZA+sWsmzZMpo3b27psAA4evSo+cuIo0ePUqhQIbp06YLBYKB27dqPxAoOERERuXsmk4ktW7ZgNBqZMWMGMTExBAcHYzAYMBgMlClTxtIhAvD999/Tr18/nq1TlM5V/fF0dtDHcLljJhMkpKSx4uAFvlh5jEGDBjNu3DhLhyVPGCUiRERE5I49/XRLjp2/Rr/vlj6Ud4nJoyEzM5OvezegZoVSzJwxw2JxREZGMn36dIxGI7t27cLV1ZWOHTtiMBho0qQJtra2FotNREREHrz09HTWrl2L0Whk9uzZxMXFUb58efOZUEWLFrVYbJUqlKewVSw/P1/dYjHI42HkwoNM3XmRmIuXsLOzs3Q48gTRrV0iIiJyx7Zt306JGk2UhJD7Ym1tTfHqTdi6ddsDH/vSpUt899131K9fn8DAQIYPH06xYsWYPXs2Fy9e5LfffqNFixZKQoiIiDyBbG1tadq0KT///DMxMTHMmzeP0qVL89FHH1GsWDFq1arF119/TUxMzAONKy0tjT379tO4lNcDHVceT41KeXH1WhwnT560dCjyhFEiQkRERO5YamoKDk4ulg5DHgP2js6kpKQ8kLHi4+OZNGkSLVu2xNfXlwEDBuDi4sKkSZOIiYlh5syZdOzYkXz58j2QeEREROTh5+DgQLt27QgPD+fixYtMnTqVggULMmjQIPz8/GjWrBm//PIL165dy/NYUlNTAXB20I0Scv/+/nP0oD6Li/xNiQgRERGxqDdre/BOYz9W/jrW0qHcs8yMDN5tUpi36xVkxU+jLR3OIyGvV9UkJycze/ZsOnfujJeXF88++yzXr19n4sSJXLhwgSVLltCzZ0/c3NzyNA4RERF59Lm4uNCtWzcWLlxITEwM33//PRkZGbz44ot4e3vTvn17pk+fzvXr1y0d6n3xeX0eRd9ayITlRywdyn8aFL6boDcXUPXD5ZYO5ZGk1e1iKUqlioiIiMUNmboZT98iAKSn3WDq+y8QeXAncZeiGTZ7r7ns39LTbvB5r7qkpSbzzpz95uuZGRms+Gk02xdPIfV6IgUKF6XvxIU4unqQfiOVJd99wN5Vc0lLTaZi0860e2MMNrY390b9rn9rIg7uwNrm5kck90K+vBW+w9z38h9HsW3hFG4kJ1G4ZHk6DPkM76CSWNvYMGpVFOEj++Xl2/Sfrpw/y4xR/Yk4uJP8PgF0GDKekCr1c6wbPrIfe1bMwsbO3nzt4xURWNvYAHB8xzrmjh/CtZhzBJatSuh735LfJwCAhV+9y4H1i0m6dpn8voG07DuCMnWezvsJ3oG0tDRWrVqF0Whk7ty5JCQkULlyZUaNGkVoaCj+/v6WDlFEREQecZ6enrz00ku89NJLREdHM2PGDIxGI2FhYTg7O9OuXTsMBgPNmzfH3t7+9h0+ZNa93ZjAAs7m11M3n+HrVce5GJ9CjWIF+NxQCR93RwCMW8/y1cpjXE5MxdHehnYVC/N+u6ewtcl63/OmE5fpOPFPBrcoyZstS5uv/2/tCSauOk5KWgZtKvjxaZeK2NvebLvx+CU+nH+AU5eSKOBiz2vNStCtZhAAE8Iq0amKP69N25XH70bOTCYTIxceYtqWMwD0qBXEO23K3PIL/jk7Ixm16BBXkm7QqJQXE8Iq4eGU9c/GqUuJNPp0Ne0qFear7lUAiIlLYfD03ew6e5UrSTe48EX7vJyWSJ7TiggRERF56ARXrEOvTyb9Z511U7/C2aNAtusrfhrNmf1befWHlXy8MhLDiP9ha39zy53Vkz/n3JE9DJ6ymbfCdxJ1bC9//DYuS/uOb05g1KooRq2KypKE2L92AdsWTuaV75by4bLTBJatxvSPcyfxkHDl4n33MXXEi/iXrsyHy07T4uV3mfROL5LirtyyfuNeg8zzHLUqypyESLoWy6R3evJ0n/f4cNlp/EtVZNoHL5nbOTi58OKEWXy0IoI2r45k2vsvcSX6zH3Hf68yMzPZsGEDr7zyCn5+frRs2ZKtW7cyePBgjh49ys6dOxk8eLCSECIiIpLr/Pz8eP3119m6dSsnTpxg2LBh7N27l7Zt2+Lr68vLL7/MmjVryMjIsHSo92Tj8UuMXnyY316owZFPWhPg6UTfSf98Pq5bvBBL3mjA8TFtWPd2Ew6fj+fXP09n6SMtI5Phc/ZRuUj+LNfXHI5h4qrjzO5fl+0jmnPmcpJ5JUZGponev2yjR60gjo9pzffPVuO9Ofs5fD7+vueUmp5B3PUb99XH5E1nWHHwAqvfaszqtxqz7MAFpm05m2PdI+fjeXvmXr7tWZUDH7fEwdaGd2fvy1Zv2Ky9VAzM+h5ZW0Pzsj58Yah0X/GKPCyUiBAREZE8dfncaUa0CCL6xAEArkSf4f2nixJ1dG+O9W3t7KnbtS+BZavess8r0WfYtXwGjXsNynL9evw1Nsz4js5DvyK/TwBWVlb4BJfBzuFmIuLwxmXUC+2Hk1t+XPIXpG6XPmxfNPWO5nEl+ixB5WtSoHAQ1jY2VG7RlQun733ZenraDfaunsdPgzrz5fMN77kfgEsRJ4g+vp/mvd/GziEf5Ru1w6dYaQ6sW3TXfe1fuxDf4LKUb9QOO4d8NH9hKOeO7OHyuVMANH9xGIUCQ7C2tqZkjcYUDCjGuVv8v7wfJpOJCxcu3LJs165dvPnmmwQFBVG/fn0WLVrE888/z65duzh8+DDvv/8+JUqUyPW4RERERHISHBzMu+++y4EDB9i3bx99+vRh5cqVNG7cmICAAN544w22bduGyWTK1tZkMnHs2LE8j/HM5SRKvbOYQ9FxAJyNTaL0O4vZf+5ajvVXHoqhXaXClPJ1w97WmkEtSrLlZCxnLicBEODpRH7nf+7st7ayMpf97fs1J2hQyosQr6znzM3YHkmPWkGU8HHFw8meQS1KMX1bBABxyWnEJafRudrNz/OVAvNT3NuV4zEJ9zz3A+eu8e7sfVR6fzk7z169537+jr1foxB8PRzx9XCkX6Ngc+z/35yd52jxlC81ihXA2cGWt1uVZuGeaK7fSDfXmbfrHG6OdtQtXjBL20Ku+ehVpyilfLWVqDwetDWTiIiI5KmC/kV5us9wwj/qw4Af/8D4UV/qh/WncMkK99znvAlv83Tf4eYEw98unDyItY0N+9fMZ/30b3F0caNe6CvU6tDbXOffv/yZTCbiLkaRnBiHo4s7AIu/GcGiicPxKlKCln2GU6xSHQAqNOnA7pWzuBRxAk+/IuxYaqRkzSZ3HXv08f1sXzSF3Stn4VWkBFVbd6PnyN/M5asnfc6aKZ/n2NbD25/Bkzdlu37h9GEK+hfD3vGfZfS+IU8Rc/rwLeP4c+b/+HPm//D0K0KT54ZQrkFbAGJOH8av+FPmevaOzhQoXJQLp26O8W/X469y8exxvIuWuqO5340PPviAjz/+mNjYWPLnv3l32NGjRzEajRiNRo4dO0ahQoXo0qUL3bp1o1atWlhb6x4bERERsbxy5cpRrlw5Ro0axdatW82fX7744guCg4MJCwvDYDBQtmxZAHbv3k2VKlX46quvGDBgQJ7FFVTQmaGtyvDqlJ0sfr0BA6bspE/DEMr5e9yyjYl/f3a++d8j5+MJKnjzc+fKgxfoN2kHianpFHCx58MO5cz1I69cx7j1LCuHNGLYrKw3rhy9EE/rCr7m12X83Dgfl0J8chqezvZ0rhpA+NYInq1TlN1nrxJ1NZnqRT3var5Xk24we2ck4VsjiE1MpXPVABa+Vp/gv5Ii565ep/Gnq2/ZfvLLtahRLPsK7KMX4ilb2P1fsbtz9ELOSZKjF+KpGfxPH0EFnbG1seL0pSTKFnYnISWNsUsPM6t/XaZuPnNX8xN51CgRISIiInmudscXOLhhCV/2boyDkwuNer5xz33tX7eQzMwMyjVoy8ldG7KUxV2KJiUxnkuRJ3hn9l4uRZ7kh4HtKBQYQkiV+pSs0ZT14d9SrGIdMjMz+HPm/wBIS0nG0cWd1q98iFdQSWzt7Nnzx2x+eTOMQZP/xNO3CC6eXhQtX5OxYVWxtrHBw9ufft8uueO4T+xYx6JvRpB0LZYqLcN49Yc/KOhfNFu9xr3eoHGvu3t/blxPIp9L1jul8jm7kXg15y2f6nbpQ9sBo8jn7MaxbauZOuIF3Ar4UOSpaqQmJ+FWwCdrXy5upF5PzHItMyOD8I/7UqFxe7yDSt5VvLczcuRIPvroIz799FMSExP56aefMBqN7N69Gzc3Nzp06MBXX31FkyZNsLXVx1kRERF5OFlZWVGzZk1q1qzJhAkTWLt2LdOmTWPixImMGjWKcuXKYTAYCA0NZciQIQwcOBB7e3v69OmTZzE9V7coyw+c5+kJa3FxsGVA01uvIG1cyou+k3bQo1YQRQu6MGH5UaysIPnGP1tNNSvrw4lP23DmchLTt0VQ4F8rJN6bs4+3WpbG2SH757Wk1HTc8tmZX7s53nyemJqOm6Mdz1T0Y1D4HobPvXkW3Odh/5xNcTsJKWkMDt/D2iMxNC7tzbttytCgpBfW1lnPcPDP78SxMW3uqM/ssf8zJzdHOxJT0/+jrl2Wa/+u/+mSwxhqFMHP487mJvIo021jIiIi8kDUaNuLmNOHqdulj/k8grt1IzmJJd+8T7s3Ps2x3PavFRLNnn8LOwdH/EKeomLTjhzZvBKAJs8NpnCJ8nz+bD2+6dOCp+q3xsbWDhdPLwACy1Yln7MrtvYOVG3VjSLlqnNk8x8A/PHLWM4d3cvwBUcYtfo8Nds9z29vGXJcXp+TxKuXiY06jU+xMviFlMPDy++e3oOc2Ds5k5KUdc/c1OvxODi55Fjfv2RFnN09sbG1pXTt5lRq3tm8jZODYw59JSVk62vOuEHcSE6i01s5r964V+PGjWP48OG0adOGhQsXEhgYyIgRIwgODmb27NnExMTw22+/0aJFCyUhRERE5JFhY2NDkyZN+Pnnn4mJiWH+/PmULVuWkSNHEhwczIYNG6hfvz59+/bl119/zdNYutUswtELCbxYPxgb65wPWAaoX9KLIU+X4oVftlHtoxUEeDrh4mCLr0e+bHWDCjpTxs+NoX+tfFhx4DyJqem0r5zzOV3ODrYkpPzz5f3fz10cbDkek0DfSTv4rldVIsc/w7JBDRi16BB7Iu5sS6W0DBNHLsST39mesoXdKenrli0JcT9yit0lh2RLTnX/Xf/AuWusP3aJPg1Dci02kYeZfnsTERGRPJeSFM+iie9RrU0Plv3wMaXrtCCfs+td93Mp8iRXzkfwbb+WAGSk3SAlKZ4P25Tgjd/W4xv815ZCVv/+ReOf53YOjnQYPI4Og28eUL1l3m8ULlnxllv6WFlZmdegRx/fT8VmnXAreHO1QO1OL7Lkuw9IuhaLS/6CObb/t4rNOlG2fiv2r13I5nm/MHvcG1Ro3IGqrQxZzsNY9ftnrJ40Icc+8vsEMGTqlmzXfYqWJvbcaW6kXMc+n9Nf8R6gSkvDbeP6a6LmZffeRUuze8UMc9GN5KS/EiilzdcWfTOCqGP76PP1AmztHe5sjDswYMAAJk6cCMDSpUtp1qwZkyZNol27dri5aW9cEREReTw4ODjwzDPP8Mwzz5CYmMjChQuZPHkyK1fevHmmd+/enDt3juHDh+f62AkpaXw4/wCGGoGMXnKIZmW9cfl/d+z/W+96xehd7+b2nCcvJvL5yqO3PLMgI9PE6Us3z4jYcOwSeyOuUW74UvO41lZWHItJ4MfnqlPSx42D0XG0rnDz5pxDUXH4uufDzdGOdUcvUtzblXolCgFQzt+DqkU92XjicrYDnXPi6WzP+qFN2HXmCuHbImgydjXlAzzoWi2QluV9cbK/+XXouavXqT961S37mdanFjWDs3/O/zv28gEeAByMiqOkT86/2/xd929nLyeRlp5J0ULOTNl0hsgr16ny4XLg5uqJTJOJkxcTWfxGg9vOU+RRo0SEiIiI5Ll5n79Nscp16frORKYM783Cr96hy7Cvb1k//UaqeaVB+o0bpKWmYGvvgE+xMrw776C53tn9W5n/xTAG/rwal/yFsLa2pmiFWqz6/TPav/EpsdFn2PPHHHqO+g24uXUTWOFawJuIgzv447dx5jiSE64RcXAnxSrVwdrGlr2r5nB672baDxoLgH+piuz9Yw4VGnfAyS0/m+f9iltBH5w9su8beyt2Do5UbtGVyi26cvV8BNuXTGPKiN44uXrw+m/rAWjy7GCaPDv4bt5eCgWG4BtSlpU/f0rzF4dxZMtKLpw6zFMNcl5qvm/1fErWbIJdPieOb1/L7uUzeeGzm8mHpxq0YfG3I9i/biGlajZj5S9jKVyygvl8iD9+Hcfhjct55bul95RM+i/z5883P8/IyGD9+vVERESQmprKiy++mKtjiYiIiDwM3n//fSZPnsylS5fM16ytrVm3bl2eJCLenb2P2iEF+dxQmT6/b2fEvANMCKuUY92UtAxOX06ilI8rUdeSGTJ9Ny/VD8bD6eb2SzO2RVC/ZCF83B05eTGRr/84Zj5w+e1WpbNs+/TenP345Xfk9WY3r3WpFsAbxt10qOyPl6sDn688Smj1QACeKuzOiYuJbDpxmdohBTkcHceWk5fpUbPIXc21cpAnlYM8+bB9OZbsiyZ8WwTDZu1lysu1qF6sAP75nTg1tu1dv4ddqgXw3ZoTNCp1c1X192tP0KdBcI51O1bxp+2X69l2Kpayhd0Zu/QwbSv64WRvS4/aQVlWjHy75gTRV5MZ3bm8+VpKWgY30jPNzwHy2d3b6nIRS1MiQkRERPLUgXWLOLlzA4On3DxkueObn/FZj9oc2riMMnWezrHN2LCqXL0QCcA4QzUAhs3ei6dvEdwKeJvrObnlx9raOsu17h/9zIxPBvB+y2K45C9Iyz7DCa5UF4DYc6cxftSHpGuxeHj70/qVDyhZozEAGenpLPthJJcijmNlbY1XkZI89+k08xfwjXq+TnxsDJ/1rE16agreRUvR65PJN1dN3IP8voE0f2EozXq/zZn9W++pj3/r/tHPTB/5CiNaBJHfJ4Beo37H2f3mgX67ls9g9aQJ5tUUf878npmjB2AymfAsXIQuw76iaIVaALjkL0jPUZOY99mbTHv/JYo8VZVuH/xoHmf5j6OwsbPnk47/HETYuNegu06e5CQiIoL4+HhOnz7N6dOnOXXqFKdPn8bLy+u++xYRERF5GFWvXh0PDw+KFi1qfvj4+Nxyxe79WLovmo0nLrP27Zuff8d0rkCjsatZcfACzcv6ZKufmpbBK5N2cCY2Cdd8thhqFOGtlv+skj0QFcfIRQdJSEnH09meNuX9GNq6DAAu+eyyrLTIZ2eNs72NOYnRuLQ3/RqF0OHrP0lJy6BtRT8GtSgFQNFCLozvWpG3Z+4l+loy+Z3s6NeoOI1Ke3MvHO1t6FQ1gE5VA4i8cp373aWpV+0gzsYm0fCvg6571Aqi27+SJMXeWmheTVHK141Pu1Sg36QdXLl+g4YlvfjccDPx42Rva16dAeBsb0M+O2sKuPyz4jjozYXZnl/4ov39TUDEQqxMd7qxsYiIiDzxnF1caPrie9QL7ZdrfQ5r6I2tnQMNuw+kyXNDcq3fBykzI4P3WxYlIz2dxj3foOnzb1o6pIfeqt/Gs3Pej1yMuWDpUEREREQeaomJibi6uvJ9r6q3PHMhNxQZsgB7W2v6Ny7O681L5tk49+vN6XuYu+sc3m752PhuU0uH88jZG3mNFp+tZffu3VSsWNHS4cgTRCsiRERExKJGr42xdAj3zdrGho9XRFg6DBERERGRe3Z2/DOWDuGOjAutyLjQipYOQ0TuUu6v8xIREREREREREREREfmLEhEiIiIiIiIiIiIiIpJnlIgQERGRx96pPZsY371mrtcVEREREZFb23LyMvXHrMr1uiLy6NEZESIiIvLYK1axNkOmbsn1undjffg3rJnyJempKZRr9Awd35yArZ39f7ZZ+cunrPhpNH0nLiS4cj0A9q6ayzrjRKKP76dis06EvfddljZv1vbALp8TVlZWAFRs2pEuw77O9fmIiIiIiNxOzeCCrB/aJNfr3o3/rT3BxFXHSUnLoE0FPz7tUhF72+z3Zt9Iz6TfpO3sOnuV83EpbBvejMACzubyuOs3eGvmXjYcuwRA49JejOlcAZd8dszeEcmbM/aY65pMkJyWwfLBDakQ4JHrcxJ5FCkRISIiIpLHjm5ZxZopX9J34kJcPb35fVh3/vhlLE/3ee+WbS6fO82+1fNxK+iT5bqjW34adh/IiZ0buJGSlGPbIVM34+lbJFfnICIiIiLyqFlzOIaJq44zu39dvNwceP7nrUxYfoShrcvkWL9WcEH6Ny5Oqy/WZysbu/QI167fYOvwZphM8MKv25iw4igjnnmKTlUD6FQ1wFw3fOtZPl9xlPL+7nk2N5FHjbZmEhERkcfCuaN7+PzZerzX1J/J7z7LlOHPs+Kn0QCc3LWBTzqWM9f9pGM51od/w2c9azO8WSBTR7xA+o3UHOvmhh1LjdRs9yzeQSVxcvOg6fNvsWPJtP9sM/ezIbR65QNsbO2yXC9RrSHlG7XDxaNArsYoIiIiInIv9kVeo+m4NQS/vYgXf93Gy79tZ9zSwwBsPH6Jqh8uN9et+uFy/rf2BI0+XU3xoYvo+/t2UtMzcqybG2Zsj6RHrSBK+Lji4WTPoBalmL4tIse69rbWvNggmMpBnjmWR1xJ4ulyvrjms8PN0Y6W5Xw5eiHhluN2qRZoXqUsIloRISIiIo+B9LQb/D60Bw27D6Rm+94c+nMJU0e8QONeg27ZZu+qubz0+Rxs7R34pk8Ldi6bTo1net12rOHNA29Z1nHIZ1Rq3iXb9ZjThynXsK35tV/IU8RdiiY5MQ5Hl+x3Se1dPQ9bO3tK127O3NtGlN03fVqQmZlJUPkaPDNgFPl9bx2ziIiIiMi9upGeyfO/bOWVxsV5tnYQyw9coO+k7RT3LnHLNvN3RxHetzb2ttY88+V6Zm2PpHutoNuOVWLooluWjelSgY5VArJdP3ohntYVfM2vy/i5cT4uhfjkNNwc7bLV/y/P1SnGzxtO0aGyPwCL90XTspxvtnqRV66z5eRlPjdUuqv+RR53SkSIiIjIIy/iwHYA6nR+GYByDZ8hoEyV/2xTr2s/87ZHpes+TfTx/Xc01scrcr6D6r+kXk8i378SDvlc3P66npgtEZGSlMCy7z/ipS/vJQUB/b5ZTOBT1UhLuc6yH0bx69sGXv91PdY2NvfUn4iIiIjIrew8ewVM8EK9YgC0ruBHpcD8/9nm5QbBeLvnA6DZUz4ciIq7o7GOjWlz1/Elpabjlu+fhMPfyYfE1PS7TkSULexGWkYmZd5dggloWNKL5+sWy1Zv5vYIahQrQJF/nS8hItqaSURERB4D8Zcv4F7IL8s1D6/C/9nGtYCX+bm9gyOpyYl5EhuAg5MzqUnx5tcpSQl/XXfJVnflz2Oo/HToPZ/xUKxSHWzt7HF09aDd62O4fO40lyJP3FvgIiIiIiL/ISYuBV8PxyzX/P7f6/+vkKuD+bmjnQ1Jqel5EhuAs4MtCSn/9P/3cxeHu783++XftlPc24UTn7bhyKhWODnY8uH8A9nqzdweSdfqWpEs8v9pRYSIiIg88lwLehN3KTrLtWsXoygUGJLrY73b5NYJjk5vfU7lFl2zXfcuWproEwco1/AZAM4f3497Ib8ct2U6vnMdcRej2TTnZwCSrl3m92E9adb7LeqFvnLX8VpZWYHJdNftRERERERux8stH+fjkrNci76WTLBX9htu7lextxbesmxc14pZDov+W0kfNw5Gx9G6ws2blg5FxeHrnu+uV0MAHIiKY2zXijjZ24I9hFYPZOTCg1nqbDsVy4X4FNpW8LtFLyJPLiUiRERE5JFX5KnqAGya/RM12j3H4U3LiTy0k+JVG+T6WKNWRd11myotw5j5yatUatoZ1wJe/PHbeKq26pZj3T5fLSAjPc38+qsXGtPu9dGUrNEEgMyMDDLS08jMyMCUkUFaagrWNjbY2Npx4dRhMtLT8A0uS1pqMst+GImHV2EKBuR+QkZEREREpGqQJ5jg1z9P0bNWEH8cimF3xFXqlSiU62OdGtv29pX+ny7VAnjDuJsOlf3xcnXg85VHCf2P1Qqp6Rnme3hupGeSkpaBg601VlZWVAjwYNqWs7zbtgxp6ZnM3B5BGV+3LO1nbI+gdXk/XPLdfaJD5HGnRISIiIg88mzt7On1yWRmjhnA4m/fp1TNppSu0wJbe4fbN34AStVsSn3Dq3zXvzVpqSmUb9yOpr3fMpeP716Txr0GUblFV5zdPbO0tba2xsktP/aON/eY3bksnBmj+pvLdy2fQZVWBsLe+47EKxeZM34w1y5GY5/PiaDyNXh+3HRsbPWRT0RERERyn72tNT/3rs7g8N18vOAgjUt706ysDw62D8f5ZI1Le9OvUQgdvv6TlLQM2lb0Y1CLUuby+mNW8VrTEubVFHVG/cG5qzdXeNQdvQqAbcObEVjAmS8MlRk2ex8VRizDCqgVUpBRncub+0pJy2DB7ih+7l3jwU1Q5BFiZTJprb6IiIjcGWcXF5q++B71QvtZOpTb+urFJtTp9BJVWoZZOhTJwarfxrNz3o9cjLlg6VBEREREHmqJiYm4urryfa+qtK/sb+lwbqvlhHX0rleULtV0TsLDaG/kNVp8tpbdu3dTsWJFS4cjTxAdVi0iIiKPhZO7NpBw5SIZ6elsXzyVC6cOm7czEhERERGRvLHx+CUuJaSQnpFJ+NazHLkQT8NS3pYOS0QeMlqnLyIiIo+FmDPHmDK8NzdSruPpV4Reo37HxTP396YVEREREZF/HI9JpM/vO7h+I50iBZz56bnqFHJ9OLZIFZGHhxIRIiIi8lio3fEFand8wdJhiIiIiIg8UZ6rW5Tn6ha1dBgi8pDT1kwiIiIiIiIiIiIiIpJnlIgQERERuQNXzp/lzdoelg5DREREROSJFRGbhM/r8ywdhojcA23NJCIiIvKI+XPm/9i2aDIxpw7T5NkhNH9xWJbyGynXWfT1cPaunktmejq+IWV55bulAJhMJpZ8+wHbFk4CoEa752jZdwRWVlYPfB4iIiIiIo+yebvO8dmyI5y7loyXqwNfdqtMzeCCzN4RyZsz9pjrmUyQnJbB8sENqRDgYbF4RSxJiQgRERGRR4y7lx9Pv/we2xdNybF81pjXMWVm8JZxO46uHkQf328u2zL/Nw5tXMagyRsB+OG1DhQoXJQaz/R6ILGLiIiIiDwO1h29yMcLD/LDs9WoFJifmPgUc1mnqgF0qhpgfh2+9SyfrzhKeX93S4Qq8lBQIkJEREQeCat+/4yNs37gRvJ1PLz96fHRz/gEl+HQxmUs+9/HXIk+i5O7Jw27v2Y+tPrkrg1MH/kKNZ55lvXh32Dv6IxhxP+4HHWK5T98Apjo9NbnlKnbEoDv+remaIVaHNu6mksRJyhWqQ6h732Lk1v+bPFcj7/G/C/e5tjW1djaO1C3Sx8adBsAwNkD25kzbhCxUWdwcHKmXlh/Gv5VlhvKNWgLwL4187OVXTxzjEN/LuW9+QfJ5+wGgH+piubynUuMNOj2Ku6F/ABoYOjP9sXTlIgQERERkdv6cuVRft5wiuupGRTO78j3z1ajtK8bKw5eYMziQ5yNvY6nsz39Gxc3H2C98fglXpu2ix61gvjf2hM4OdgysUcVTl9KYuzSw5hMMK5rBZo/5QtAh683UDO4AGuOXOTkxURqhxTkC0Nl8jvbZ4vn2vUbvDdnP2uPXMTB1poXGxSjX6PiAOw8c4W3Z+7lzOUknB1s6dMwmFcaF8+192Lc0iMMblGSKkGeAPh6ON6y7oztkXSpFqhVyPJEUyJCREREHnoXzxxj89xfeP239bh6enEp4gT5nF0BcHB0ptsHP+EVVJKz+7fy4xudCCpXHb/i5QCIuxSNtY0tIxYdZ9Xv45n24cuUa9iWYbP3snvFTOaMG2xORABsXzSVlz6fjadfEaaP6s+8CW/T7YMfssU0fWRf8vsE8M6cfSRevcwPr7XHK6gkpWs3Z8GXw2jQbQCVW3QlOeEaV6LP5jiv3StmMmf84FvO++MVEXf9XkUc3kl+nwBW/DSancum41bAh+YvDTMnL2JOH8EvpJy5vm9IOWJOH77rcURERETkyXI8JoHfN57hjyGNKOTqwMmLibjmswPA2d6Gb3tWpYS3K9vPXCHs+01UK+pJ2cI3VwCcj0vBxtqK/R+35IuVx+g/eSety/uybXhz5uyM5O2Ze82JCADj1giMfWsT6OnE68ZdvDdnH9/0rJotpoFTd+Hv6cj2Ec2JTUql67cbKe7tStMyPgyfu59+jULoVDWAuOs3iLhyPcd5zdkZydCZe28572Nj2mS7lpFpYm/kVVo85UPNkSu5kZ5Jy3K+DH+mLPnsbLLUjbxynS0nL/O5odLt32SRx5gSESIiIvLQs7a1Jf1GKhfPHMXZvQBeRf65kym4cj3z86IValGieiNO79tiTkTY2uejQfeBWFtbU6FJB1b+PIYmvQZja2dPxaYdmTGqP0nXYnH2KABA1Vbd8AkuA8DTL7/HZz1qETb8uyzxJFy5yLFta/l4xVls7R3I7xNAjXbPsW/1PErXbo6NrR2Xz53ievxVnNzyU7ikR47zqtS8C5Wad8nNt4q4i9FcOHWIcg3bMnzBEc4e2Mavb4bhU7Q0hQJDSE1OJJ+Lm7l+Phc3Uq8n5moMIiIiIvL4sbW2IjU9g2MxCXg62xPi7Wouq1O8kPl5jWIFaFjSi62nYs2JCAdba/o3Lo61tRXPVCzM+GVHGNisJPa21rSr5M/rxt3EJqZSwMUBgNDqgZT2vfmZdWirMjT8dBVfda+SJZ5LCSmsP3aRo6Nb42Brg7+9Ez1qBbFwTzRNy/hgZ2PN6ctJXE26QX5ne8o5ZV9RAdCxSgAdqwTkWHYrlxJSSMswsXBvNPMH1MPWxornft7KV38c462WpbPUnbk9ghrFClCkgPNdjSHyuFEiQkRERB56Bf2L0XbASJZ+/zGXI09Qtl4r2r72CY4u7pzet4Wl331IzOkjZGZkkJaabE5CADi7e2JtbQ2AnUM+AFw8C/31+uby6dTkRHMiwsPH39w2v08AGelpJMXFZonn6oVIMtJS+bDNPwkRU2YmRSvUAqDz0K9Y/uMoxnSphFdQSVq/8oG5LK/ZOeTDxtaOJs+9iY2tLcGV6lKsUh2ObV9DocAQHBxdSEmKN9dPTUrAwcnlgcQmIiIiIo+uooVc+KDdU4xedIhTlxJp8ZQvH3Uoh5ujHdtOxfLJokMcvRBPeqaJlLQMcxICwNPZHmvrm9sS5bO7+dm8kOvNpIOj/c0VBEmp6eZEROF/bXPk7+lIWoaJK0mpWeKJvJJManom5d5bar6WYbqZCAH4LLQiny49TK1RKynu7cp7bcuay+7X36seXqhXDG/3m79j9GkYzNd/HM8hERHJwGYlcmVckUeZEhEiIiLySKjSMowqLcNIuhbLlBG9WTf1a57u8x7GD1+mQbcB1GjbC1t7B34b2h1Mpnse59qFc+bnV2POYWNrh7N7Aa5d/Oe6eyE/7PI58eGyM+Ykx795FSlOz5G/kZGezpZ5vzB1xAu8N/9Qtnq7ls9g9tg3bhnLqFVRdx2/b8hT2a79ey9a76KlOH/8AP4lKwIQfWI/3kVLZ2sjIiIiIvL/dakWSJdqgcQmptJ30g6+XX2coa3L0H/KTvo1CqF7rdo42Nrw/M9bMd3HZ/Koa8n/PL+ajJ2NFZ7ODkTd+Gd7JT+PfDja2XDkk9bmJMe/hXi78uNz1UnPyOT3TWfo+/t2dn/4dLZ6s3dE8uaMPbeM5dTYttmueTjZ4+fhyL9HtSJ7DNtOxXIhPoW2Ffxu2b/Ik0KJCBEREXnoXTx7nITYCxQpVwO7fI7Y2jlgZXMzAXAjOQkn1/zY2NlzfMc6jm1bg18OX8bfqZ1LjVRu0YX8voEs/2EU5Rq1w9om6z6v7oV8Ca5UlyXfvk+z3m9jl8+JS2ePcSMlmYDSldi1fAYlazbF2d0TBycXrHJIVgBUbtGVyi263nWMGenpZGakY8rI+GsVSArWNrbY2NpSrGJtPLz9WT15Ao17DiLi0A5O7tpImwGjgJsJnXXGiZSo0QSA9cZvqBf6yl3HICIiIiJPlhMxCcTEp1CtaAEc7W2wt7U2JwCSUtPJ72SPvY01G45dYu3Ri5Txc7tNj7c2Y1sEHav4E+DpxKdLDtOmQmFs/l+ywcfdkdohBfl44UGGPF0KRzsbjl9MIPlGBhUD8zN7RySNSnvj6WyPi4NtjskKgE5VA+hU9e62ZoKb20f9vOEUjUp7Y2djxQ/rTtKsrE/WeWyPoHV5P1z+OktD5EmmRISIiIg89NLTUln8zftcPHsMG1s7ildrRAPDAAA6DB7Pwq/eZfbYNyhduzll6rS4r7GqturG9JGvcPHscYIr16Hru9/mWC9sxP9Y/M0IxoZV40ZKEoUCi/N0n+EAHNn8Bwu+HEb6jVQK+hfDMOJ/9xXT/7fqt3Gs/OXTf17/Pp5mvd+m+YvDsLG147lPpzFz9EDWTP6C/D4BGN7/H4UCggGo2f55YqPP8FmPm1tF1Wz3HNXb9szV+ERERETk8XMjI5OPFx7keEwi9jZW1C/pxSuNQgAY3bkCH8zbz5sz9tC0jDfNyvjcprf/Flo9kNem7eJETCK1QwryRbfKOdab2KMKHy84SJ1P/uB6ajrBXq4Ma31zte/qwzEMn7uf1PRMihVyZmKPKjn2ca8GtSjJlaQb1Bm1Egc7G9pVKsyApv9s3ZqSlsGC3VH83LtGro4r8qiyMt3POikRERF5oji7uND0xfeoF9rP0qHkie/6t6Zqq25Ua93d0qE89lb9Np6d837kYswFS4ciIiIi8lBLTEzE1dWV73tVpX1l/9s3eMR1+HoDodUDCatRxNKhPJb2Rl6jxWdr2b17NxUrVrR0OPIEyXmfABERERERERERERERkVygRISIiIiIiIiIiIiIiOQZnREhIiIi8pd+3yy2dAgiIiIiIk+0uQPqWToEEckDWhEhIiIiIiIiIiIiIiJ5RokIEREReaSt+Gk04SMfnsOz36ztwTuN/Vj561hLh3JffnitA8MaevNd/9aWDkVEREREHkHjlh5m4NSdlg7DzOf1eRR9ayETlh+xaBwZmSaKvbUQ/0HzGbf0sEVjEXmQtDWTiIiISC4bMnUznr5Fsl1f+cunrPhpNH0nLiS48s0l5+O71+TqhUhznfQbKZSs2ZTe46bfdpwTO9ez4qfRnDu6l4DSlbJtLbXsh5HsX7OASxHH6fLORKq17m4uO3dkDzNHD+DqhQisrKwpWqEWHYaMx72QHwAvfzmX7YunsmPJtHt6D0REREREHjbr3m5MYAFn8+vrN9L5cP5BFu6JIi0jk7J+7swbePNzuslkYuTCQ0zbcgaAHrWCeKdNGaysrG47juH7TWw9FWt+nZaRSbCXK2vfboyNtRWnxrZ9qJI0Ig+CEhEiIiIiD8Dlc6fZt3o+bgV9slwfMnWL+bnJZGJ05wqUb9z+jvq0d3SmVofexEad4fiOtdnKCwYE0+6NT1n+46hsZfl9A3nu02l4ePuTkZ7Gih8/Ye5nb/LcmKl3NS8RERERkUfVm9P3kJFpYsOwJng42XMgKs5cNnnTGVYcvMDqtxoD0PW7TQQVdKZ7raDb9mvsWzvL6w5fb6Bu8UK5GrvIo0ZbM4mIiIjFrZn8BVOG985yLXxkP1b8PAaA1ZMm8Emn8rzX1J/Pn63HqT2bcuzn5K4NfNKxXJZrn3Qsx8ldGwDIzMzkj1/H8Umn8nzQKpiZowdwI+V6Hswou7mfDaHVKx9gY2t3yzqn9mzketwVyjd85o76DCxThUrNu+Du5ZdjedWWBkpUb4StvUO2Mmd3T/L7BNy8o8tkwsramtio03c2GRERERF5Inz9xzH6/L49y7WBU3cyftnN7Y2+WnmMah+tIPjtRTQdt4YtJy/n2M/G45eo+uHyLNeqfricjccvAZCZaeLzFUep9tEKyry7hEHhu7l+Iz0PZvSP4zEJLD9wgXGhFSng4oCNtRUVAjzM5TO2R9KvUQi+Ho74ejjSr1Ew07dF3PU4EbFJbD0VS5dqAbkYvcijRysiRERExOIqNu3Iqt/HcyM5CXtHZ9JSUzi4bjEDf1kDQEH/YF79YSUuHgXZOOsHpo7ozbBZe3P8gv2/bJj+Lce2rebV/60gn4sbxo/6sOLnMbTp/1G2urtXzGTO+MG37OvjFXf+S8je1fOwtbOndO3mzP2PejuXGHmqYVvsHZ3/o1buSU6M45OO5UhNSsDaxpYu70x8IOOKiIiIyKOhfWV/vlh5jKTUdJwdbElJy2Dp/vMsH9wQgKKFnFn8en0KuDjwy4ZT9Pl9B9tGNMPB1uauxvlh3UnWHrnIotfq4+poy4ApN5MdI555KlvdOTsjGTpz7y37OjamzR2NufvsVfw9nRi39AizdkTi5ZaPt1qWolX5mzf5HL0QT9nC7ub6ZfzcOXoh4a7mBTBzeyQ1ihXIsiWUyJNIiQgRERGxuPy+gfgEl+XghqVUat6ZI5tXUDCgGIUCggEo37iduW690H6s/GUMl8+dwqdY6bsaZ9uCSXR663Pz9kiNew5i8nvP5piIqNS8C5Wad7mPWd2UkpTAsu8/4qUv/ysFATdSrrNvzQKeH/vgzmRwdHHn4xURJCdcY+vCyRT0L/bAxhYRERGRh1+ApxNl/NxYceACHar4s+pQDEULuVCskAsAbSsWNtd9qUEw45cd4fSlJEr5ut3VOFM3n2FsaEW83fMBMKBpCV76bXuOiYiOVQLoWOX+Vxecj0vmyPl4Wpf3Zc+HT7PjzBV6/riFkj5uBHu5kJSajlu+f746dXO0IzH17ldpzNwRyevNStx3vCKPOiUiRERE5KFQqVkn9vwxm0rNO7PnjzlUbNrJXLZt0WTWG78l7mIUWEFqUgJJcbH/0VvOrl6I5Jc3w7Cy/uuAORNkZmbk1hRytPLnMVR+OjTHw6v/bf/ahTi5eVCsUt08jScnjq4eVGvVjfHda/Le/MPY2OojooiIiIjc1L6yP/N2n6NDlb/+W/mf5MO0LWf539oTRF9LxgpISE3nStKNux7j3NVkev6whX99TCcj05Q7E7iFfHY22NlY8UbzktjaWFM7pCC1Qwqw7uhFgr1ccHawJSHln8RDQko6Lg539zl566lYLsanZEnYiDyp9FumiIiIPBTKN27P4m8/4FrMOY5sXknbgTcPWL5y/ixzx79J34kLCShTBWtra0a0KAKm7L+Y2Odz5kZKsvl1ZkYGidf+SVi4e/lhGPE/AstWvW08u5bPYPbYN25ZPmpV1B3N6/jOdcRdjGbTnJ8BSLp2md+H9aRZ77eoF/qKud7OpUaqtAy7eWaDBWRmZpB49RKp1xNwcstvkRhERERE5OHzTEU/Ri48SNTV66w6FMOH7W+eyRYRm8Q7s/cyu39dKgXmx9raipLDFmPK4XO6k4MtyWn/3ACUkWki9l8JC1+PfEzsXoXKQZ63jWf2jkjenLHnluWnxra9o3mV8XPPds2Kfz6Ll/Rx42B0HOX/OjfiYFQcJX1c76jvv83YFkGr8n4432UCQ+RxpL8FIiIi8lBw9fQiqFwNpo/qj3/JCnh43bxr6EbydaysrHD2KIgpM5M1U78iJSnnvVkLBgZzI+U6R7esIqRqfVb9/hkZaanm8hrtnmPZDyPp+u43eHgVJu7SeS6cPETJmk2y9VW5RVcqt+h63/Pq89UCMtLTzK+/eqEx7V4fTcka/4x57WIUJ3dtoOObn2dr/0nHcjR7YSjVWnfPVpaZmUlG2g0y09MxZWaSlpqClbU1tnb2AGSkp5GZkYEpM5PM9HTSUlOwsbXD2saGw5tWkN/bH6+ipUhOuMbCr97Ft/hTSkKIiIiISBaFXPNRvagnrxt3Uz7AAz8PRwCu38jACisKuDiQaTLxzR/HSUhJy7GP4EIuXL+RwZrDMdQtUYgvVx7jRnqmubxHrSDGLDnMF90q4+fhyIW4ZA5Hx9OotHe2vjpVDaBT1fvfmqlmcAEK53fiqz+OMbBpCXadvcqmE5f5oP3N7aC6VAvguzUnaFTKC4Dv156gT4Ngc/uqHy5nyNOlCKuR88rn5BsZLNgTxa+9a9x3rCKPAyUiRERE5KFRqVknZnzyKh3fnGC+5lOsNHU6v8yXvRtga5+Pul36mJMU/5+jizsdBo9j+qhXyMzIoGGP13Av5Gcurx/6CqbMTL7v34bEq5dxK+hDrQ69c0xE5BZn96x3dVlbW+Pklj/LgdS7lk2nyFPVKehfNEvdjPQ0rsdfpUjZajn2fXrPRr5/9Z87vt5p5EOxSnXo981iAGaOGcjOJcabdfduZtanr9H13W+o1ro7SXGxLPhiKHGXL+Dg6EyxirV5bvSUXJmziIiIiDxe2lf25w3jbj7tUsF8rZSvG73rFaP5+DU42NnwYv1i5iTF/+fmaMfoTuV5zbiLjEwT/RsXx/ev8yAA+jQMIdMEHSf+yeWEVHzc8/FsnaI5JiJyi52NNb+9UIPB4bv5etVx/PM78U3PKubzL3rVDuJsbBINP10N3EyWdKt5M+mQlpHJ1etpVPmPFRzL9p/HzdGOOsUL5tkcRB4lVqac1kuJiIiI5MDZxYWmL75HvdB+lg7loTWsoTe2dg407D6QJs8Nua++zuzfxsaZ/6P7Rz/nUnR37qdBnTmzbwuBZavx8m0O2r4Xq34bz855P3Ix5kKu9y0iIiLyOElMTMTV1ZXve1WlfWV/S4fzyCoyZAH2ttb0b1yc15uXvK++dpy+wk/rT/L9sznfMPRfMjJNlH5nMWmZJgY2LcEb9xnL3dobeY0Wn61l9+7dVKxY8YGOLU82rYgQERERyUWj18bkWl9B5aoTVK56rvV3N16cMMsi44qIiIiI5IWz45/Jtb6qFvWkatHbn2eRExtrK46NaZNrsYg8KqwtHYCIiIiIiIiIiIiIiDy+lIgQEREREREREREREZE8o0SEiIiIiIiIiIiIiIjkGSUiREREJE9sXzyV7/q3tnQYIiIiIiJPlPCtZ+nw9QZLhyEikoUOqxYREZEn2pHNK1n1+2dEH9+PfT4nfIqVplHPNyhRvRErfhrNqt8/w9beAWsbG7yDStFmwEjzAdInd23gfwOewS6fU5Y+B/68Gu+gkpzeu5nF37xPzOkjWFlb4xVUknavjebY9jWsnjQBgMyMdDLS07BzcAQgv08AQ6Zu4c3aHtjlc8LKysrcb9sBo6jZ/jnCR/Zjz4pZ2No7AOBZOIhyDZ+hYbcB5n7udq4AF04eYvG373N67xYAilaoSatXPsA3uCxwM7m0Y8k0+n2zOEu/n3QsR+h73xJcuZ752pLvPmTN5M8ZMnUL3kVL3f3/GBERERF5bHX4egObT8ayfmgTSvi4mq+3+WI9O85cYdvwZgQWcDZfH7XwIF+vOs66oY0p6eNmvh53/QbvzzvAqsMxXL+RgbebA4YaRRjQtAQAPq/Py9LX+GVHmL4tgln963DuynU6f7sRRzubLLEtG9SQEj6uVP1wOZcTU7G2ssLe1ppSvm70qBVE56oBt5yXz+vzcLS3wQrIZ2dD/RKF+LRLBdyd7AFIScvg0yWHmbfrHNeup+Hv6cTLDYLpWTvI3Me/x7WzsaZqUU/GdqlA4fxO5vdu19mr2FhbYWNtRVk/d0Z3Lo+DnQ0tPlvLwtfqU8r35ntkMpnoOPFP6pf04o3mJe/h/5RI7lEiQkRERJ5Ye/6Yw6wxr9Hu9dGUa/QM9vmcObFzPYf+XGL+cr5Siy6EvfcdGenprPhpNFPee4735h8y9+Hh7c87c/Zn6zslKZ5f3wqj45AJlG/cnoz0G5zasxkbe3uaPDuYJs8OBm795T7AkKmb8fQtkmPsjXsNovmLw7iRcp1zR/aw4IuhHN+2hr7fLMbaOvui19vN9fK5U3zT72nqh/Wn2wc/ArBhxvd8268lr/2yloL+xe74fc3MzGTX8hk4ueVn59JwWr3ywR23FREREZEnQ7FCzszaEck7bcoAcPpSIleTbmSrl5lpYvbOc+R3smPm9kjea1vWXDZi3gFS0jLYMKwJbvnsOHkpkSPn43Mcb/TiQ8zfHcXcAXXxz+/EuSvXKezhyI73W9wyxqkv16JO8UJcu36D1YdjGDH3AMdjEhjWuswt26x7uzGBBZxJSEnj5d+2M2H5UT7sUA6AF37dRnxyGjNfqUORgs5sORlL/yk7iE9Jo3/j4tnGTUnLYOjMvQyfu59fetcwl3/apQJhNYqQnpHJZ8uPMnDaLlYOacTApiUYHL6bha/Vx9raiqlbzhKXnMarTYpni1PkQdPWTCIiInJfrsWc47eh3fmgVTAftApmyXcf5lhv3oS3+PiZ0rzXNIBv+j7NhZP/fJl/aOMyxoZV472m/nzSsRy7ls8A4FLECb7t15LhzQL5oFUIC74clmtxm0wmFk0cTrPeb1GtTQ/yObthbWNDieqNaD9oXLb6Nra2VG7RhbhL0SRevXzb/i9FnMTK2oaKzTphbWODnYMjJWs0xi/kqVybA4B9PieKVazNc59O49zRvRzeuCxbnTuZ64qfxlCsYh2a9X4bR1cPHF09aP7CUIqWr8XKn8fcVUwndq4nNSmB1v0/ZNeKmWRmZubKXEVERETkH1FXr/P8z1sp8+4Syry7hFELD+ZY793Z+6j4/jJC3l7EM1+u5/C/vqhfcfACdT/5g+C3F1H1w+XM3hEJwMmLibT7agPFhy6i7HtLGDE3+40396tjlQDm7jqHyWQCYNaOSDpW8c9W78/jl0hISWP4M2WZs/McmZkmc9meiKt0qhqAh5M91tZWFPd2pW3Fwtn6+HD+ARbtiWbuqzeTEHfLw8mejlUC+LRLBb5dfZzYxNTbtnHNZ0fzp3w4FpMAwPqjF9l4/BI/PVed/2PvrsOjuNo+jn+Tjbs7CRLBJUiCe3G3FinuEigUSoWWUlqgSEKxUrzFHVq0uGtwEoLHgJAE4ra7zx9pl+ZJkEBgkftzXb3ezMyZM7/Zp2+zmXvOOZ6O5ugrdKnpbc/EtmWZtiOEhNTMXH0Y6StoXt6FsHuJeV5DT6FLa19Xwv65xqB6XmQqVSw6dJMHCWn8+OcVZnzii75CHgEL7ZMREUIIIYR4aSqlkkWfd6K4f0PNW/RRYZfybOteqhIf9fkSA2MTts8dz6oJAxi+5CAAa38axqc/LqNIWX8S4x6Q/CgWgJ2//Ujxqg0ZOGcbmWkp3Lt5Nc++b50/xqLPOz0152fLjmDtlHMIdcydMB4/iKRM3ZYvdK9ZGemc3rYSE0sbjM2tntve3r0YqNWs/mEQ5eq3wb1UZUwsnn/ey7JydMPNpxy3LhynVM2mOY69yL2Gnd5P04Hf5tpfpk4Ltv86IV9ZzmxfSanazSjfoB2bZnzB9TMH8a5cJ199CCGEEEKIp1Oq1HT77Tj1Sjgyu1tFAK5E5j0SwNfDms+bFMfEQI+Jf15m2PIz7B6VPfp35KpgFvasQpWitsQkphGblD0iYcr2q9Qv4cimoTVIyVAS+pRRBiduxtJt/rGn5tw7pt5TH/y7WRvjam3M8ZuxVC1mx4YzEawaUI2fd4TkaLfmVDhNyjjTqoIbX224yOGwGGr5OABQsbANP/55hbikdKoUtaWovVmu64zfcplr9xLZOLQGDhZGT836Ij4q7YRKDcF342lQ0umZbR+lZLDjYjSVCtsAcPBaDBXcrXG0zJmhSRlnBmSpOHM7jrolHHMcS8nIYnNwJBU8rPO8RkaWivWnI6jgnn1coavDjE98aTf7MLsu3+NjP3fKFbJ6ybsVomBJIUIIIYQQL+3ulTMkxT+kcf9v0FVkz6367/oJ/8+3UUfNzw16jebgqtlkpCZjYGyKQk+fB7ev4eJZGnMbB8xtsv+wUOjpEX8vnMTY+1jYOeFeqlKefRcpV5UJu+7mK3tyQhwA5jaOz2x3btc6Lh/8i/SUJIxMLfj0x2Uo9J58hXp0P4JvPnLPcc6EXXcxMrVg0Lwd7PsjkHWTAkiMu0/xqg1p/8VMzf09z/RuNdDRfbJGRK+fV1OkXNWntrewcyY14VGu/S9yrymPYzG3zX3c3M5JUxh6EekpSVw68Cef/vg7BsamlKrRhLM7VkkhQgghhBCiAAXfiedhUjpjm5VE8c/3xUpFbPJs2+4/axqMbFScX/f/RXJ6FqaGeugrdAm7n0gpV0vszY2wN89+SK6v0CEiPoUHCek4WhrhWzjvvv2K2nJtUvOXvo8OlQqx/nQ4+rq62JoZ4mFnmuN4cnoW2y5EsaiXH6aGejQq5cTa0+GaQsTEtmWZf+A6iw7dZNTqc7jZmDCxbVnql3zyvfZAyAO6VSucZxEi8lEq3l/8mWPfs+5HX6GLjakBj1Nyj174V70p+9DVgcT0LDztzejRNXuK07jkjDwz6P3TZ9x/pqXq9ttx9HR1SM5QYm9uyNpB1XOcM3bdBcZtvEhqphJjfQXL+vprjpVyteQTPw+2nItkaR9/hHhbSCFCCCGEEC/t8YNIrJ0KaYoQz7J32XRO/bWcxNgHmofryY9iMTA25dOJS9m9aAp/zvoa95KVaBnwI45FitNs8Pfs+HUCM7rXxMLOiYa9xlC69sv/ofNfphbZf0wlxt1/6joMAOU/as/HX88l+VEsy77sRvjVYDwr1tIcf9oaEQCOhX34+Ou5ADy4fY2V3/djS+BYuny/8IUyfvb74Wdm+38JD6NxL1051/4XuVcTCxsSY+/n2p/48B6mVrYA6Cr0UGZl5WqjzMpCV08fgIv7t2BgZIJXpdoAlG/YjpXj+5ExKrvoJIQQQgghXl3ko1TcrE00RYhnmbn7GqtO3uFBQjr/No9LzsDUUI8FPSozbVco4zdfwtfDhvFtSuPjZME3LUrz019XqP/zPpwsjRjZyIcmZV0K/D5alHdl8varKFVq2lXKPS3Tn+ejMDHQo6a3PQBtKrox6PczTGqfXUgxNlAQ0NCHgIY+JKZl8svfYfRdcpIz3zbC2jR7geh53SsRsOIstmaGudZKeN4aEf8vU6kiNikdSxP9p7bZO7ou7rampGUq+Xl7CF3mH2PXyDpYmxhwKyYpV/sspYq45Axs/skL8Htff6p72ZOpVLHs6G06zT3KkS8bYGyQ/XfXT+3L8rGfB0qVmt2X79Htt+McGlsfJ0tjAHyczHG3MdG0F+JtIIUIIYQQQrywf+dv/ZelgyuP7kegUqnyXCD5XzeCD3NozTwGzNqKg4c3ackJjPvIAzXZ/bmXqkTvaWvIykhn528/sm7ycAbP24GFnRMdv5qNWq3m8qFt/PFNT77fcSvXA+2b546ycGSHp15/1PLjuaZmsvfwwtLBlYv7t1L7kyHPvXdTK1vajQkiqFcdKjbuhIXds4di/z+Hwt5UatqZ45uW5Ou8F/XoQSQRoeep02VYrmMvcq+elWpz6cCfVG7WJcf+i/u3agov1o5uPLoXjlqtRkcn+6/YjLQUkuJjNJ/vme2rSE16zIRWJQBQq1SkpyRxcf9WKjb5OEffsnaEEEIIIcTLcbUyJjI+FZVKje4zihFHrz/kt4M3WD+4Bl6OZiSmZeE99i/N93rfwjYs71eV9CwlU7aF8Pnqc2wJqIWjpRGBnX1Rq9XsvHSPfktOcfXHppga5nyUePzGQzr/+vSpmQ6Orf/MNRksjPWpUsSW9acj+KZl7rXU1p66S0JqJuW/zV4HTaVWa0ZJdKicc1SyuZE+AQ29mfn3Ne7GpWgKEd6O5qweUI32c45gpK9Ln1rFnprneXZduoeerq5mKqRnMdJX0KFyIWb/s6ZETW97Fh66wf3HaTmmZ9p+MRoDPV0q5jHqRF+hy8dV3Plq/QVC7yVQ/v+uq9DVoXEZZ/QVupy6FZfn+hhCvC2kECGEEEKIZ1Kr1Rw5coSgoCDS0tJyHHMvWRETCxt2zp9I/R4jgew1Iv5/eqaMlGQUevqYWtqSlZHOrgU/aY5lZWZwcd9mSlRvhIGxGQYmppqixoW9m/EoUwVLe2eMzS3R0dFBJ4+CR9Hy1Zi4JzJf96Wjo0PzIRNYP3k4pla2lK7VHAMjE26eO8KlA3/S+rMpuc5x8PDCx68++5fPpGXAj8/s/8Hta1w9upNyDdpi9U/BJnj3+qdOL/WyMtNTiQg9z5bAsbj5lKN4tdxvdL3IvTbsNYZf+tRn9+Ip1OjQH4BDq+dy6/wxhi3cC2QXjHT19Ni/fCY1Ow5AmZXJ9nnf416qkuYebwQfpm/gRhyLFNdc/+9FUzizY1WuQkT8o3g6d+5MQEAAfn5+Bfq5CCGEEEK8zyp4WGNtasDk7VcJaOgNZK8R8f/TMyWnZ2VPJ2RmQHqWip+3P1lzLSNLxZ/nI2lYyglTAz1MDRWaosbWc5FULmKDk6UxFsb66OiArk7ugod/MTtuTmnxSvcyvnVpBtb1zDEiALIX4z56/SGrB1bHx8lcs3/azlDWngqnQ2V3pu8MoV4JR0q6WKJSq/ntwA0sjfXxdMi5VkRpNytW9K9Gp7lHMNZX0KVq4XxlfJySwb6QB3yz8SID63lia2b43HMylSo2nInA3twQG1MDavvYU7WYHX2WnCTwE188bE04diOWrzZcYERDHyyMc4+yUKnUrD0VjpG+Lu62uUcXq9Vq/r5yn8epmXg6muc6LsTbRAoRQgghhMhTeno6a9asITAwkLNnz+Lj44O+fs4/DnQVCnr+vJJN00fzQ6uS6Cr08GvZPVchwse/AZ4VazKpQwWMzCxo1GdsjuOnt61k47RRqFVqnD1L0fbz6QDcvXqGzYFjSEtOxMrBlc7f/Ya+oXGB3WP5Bm0xNDFjz9JpbPh5JAZGJjh7lqLep5899Zw6XYbx67BW1O+eXXh5dD+Cr+rnfPOo+6TlOBb25u6VMxxcNYfUpMcYm1lSonojmg/5/oXzTe1SVTPyAKDWJ4Np1OdLIHuqq4OrskeL2LoWpkydltTpMuypI1Oed68OHl4MnLuNbXO+48DymQB4lPFj4Jy/sHf3BEDPwJBeP69m68yv2L88CF1dBUXLV6PrhEUAnN25BrfiFTTTMv2rRscBTOvqz+OYKCztnwzpNzUx5cSJE/j7++Pv709AQADt2rVDX//pQ92FEEIIIUT2m/DL+vjx1YYL+H63E4WuDl2rFs5ViKhXwpHqXnb4T9iNhbE+nzcpnuP4mpPhjF13AZVaTUkXSyZ3KAdkL8b89YaLJKZl4mplzJxulV7bND+u1ia45jFqYv3pCMoVstZMy/SvvrWKUnvyXqIfpaKjo0PAirNExqeip9ChhLMFf/TzzzVyA7IX7f69rz9d5h/HSF+Bk6URkY9SKTp6a452S3r7adag6DL/GLo6OugrdCnhbMG4lqVyjcT4f7Un70WH7P+NSrpYsrSPv+Y7/aJefkzadoV2sw/zKCUDN2sTRjYqTvfqRXL08e91dXV0KGpvysKefjkKNWPWnufL9Rc0n9+MjytQwtnimbmE0DYd9f/PsSCEEEKID9r9+/eZN28ec+fO5f79+zRu3JiAgAA++ugjzC0saNDna2p2GqjtmOIdt2fJVM5s+o3oqEj++usvgoKC2Lt3L66urgwaNIh+/fphZ2en7ZhCCCGEEFqXlJSEubk58z6tRGvf3OsoCJEf58Mf0WjafoKDgylfvry244gPyNMncxZCCCHEByU4OJgePXrg7u7OlClTaNu2LVevXmX79u00btz4mWtACPGyFAoFLVu2ZM+ePZw/f57GjRvz/fffU6hQIfr27culS5e0HVEIIYQQQgghxCuSJwpCCCHEBywrK4v169dTq1YtfH192bdvHxMnTiQiIoI5c+ZQvHjx53cixEvIa1Bu2bJlWbBgAREREXzzzTds27aNMmXKUL9+fbZu3SqLWwshhBBCCPGKZHIcoS1SiBBCCCE+QPHx8UydOhVPT0/at28PwLp167hx4wajRo3C2to6z/MMDY1IT0l6k1HFeyojNRkjI6M8j9nZ2fHll19y+/ZtVqxYQXJyMi1btsTb25ugoCASEhLecFohhBBCCO0xNMxeGDk5PUvLScT74N9/j572XVyI10UKEUIIIcQHJCQkhEGDBuHm5sZXX31F7dq1OXPmDAcPHqRdu3bo6eVe1O2/qlSuzLUTe+QtGvFKVCoVYSf34OdX5Znt9PX1+eSTTzh+/DjHjh2jcuXKjBo1Cjc3N4YPH86NGzfeUGIhhBBCCO3R19enfNky7A15oO0o4j2wL+QB1laWFCtWTNtRxAdGFqsWQggh3nMqlYpdu3YRFBTEjh07cHR0ZODAgQwYMABHR8d89bVx40batm1LhY864NfyUyzsnEFH5zUlF+8btUrF45gojm1YyKUDW9mxYwcfffRRvvqIjIxkzpw5/Prrr8TFxdGiRQsCAgKoW7cuOvLvohBCCCHeU/PmzWPgwIF0r16EdhXdsDUzlK/h4oWp1ZCYlsnOS/cI+vsan302kp9//lnbscQHRgoRQgghxHsqOTmZZcuWMXPmTEJCQvD19SUgIIBOnTpphne/jAULFvD1N+O4fy+6ANOKD4mLqxtTJk+iS5cuL91Hamoqy5cvJygoiEuXLlGmTBmGDRtGly5dMDY2LsC0QgghhBBvhylTpjBl8iRi4+K1HUW8o0xNjOndpy/Tp09HoVBoO474wEghQgghhHjP3Llzh1mzZrFgwQISEhJo06YNw4cPp3r16gX2xrhKpeLSpUs8evSoQPoTHw4bGxtKliyJrm7BzBCqVqvZt28fgYGB/Pnnn9jY2NC/f38GDRqEq6trgVxDCCGEEOJtkZmZyaVLl0hMTNR2lHxTKpX0798fhULB3LlzC+z74Jsyfvx4goODWb58OaamptqOk2/GxsaULl1aXtoRWiOFCCGEEOI9oFarOXz4MEFBQWzcuBELCwv69u3L4MGD8fDw0HY8Id6I69evM2vWLBYtWkRqaiodOnQgICAAPz8/bUcTQgghhPjgLVy4kD59+nD06FGqVq2q7Tj5dvfuXYoXL86wYcOYNGmStuMI8c6RQoQQQgjxDktPT2f16tUEBgYSHBys+WL86aefvpNv6QhREBISEli8eDG//PILN27cwM/Pj4CAANq3b4++vr624wkhhBBCfHASEhLw8vKiYcOG/PHHH9qO89K+/fZbJk2axJUrV2SxZyHySQoRQgghxDvo3r17zJs3j3nz5nH//n0aN27M8OHDadiw4Ts3xFmI10WpVLJt2zaCgoLYs2cPrq6uDBo0iH79+mFnZ6fteEIIIYQQH4zRo0cze/ZsQkNDcXNz03acl5acnEzx4sWpXLkyGzZs0HYcId4pUogQQggh3iFnz54lKCiIVatWoaenR48ePRg6dCjFixfXdjQh3moXL15k5syZmjfwunTpQkBAAGXKlNFyMiGEEEKI99v169cpWbIkX3/9NePGjdN2nFe2YsUKunTpwt69e6lbt6624wjxzpBChBBCCPGWy8rKYvPmzQQFBXHo0CE8PDwYMmQIvXv3xtraWtvxhHinPHz4kPnz5zN79myioqKoV68eAQEBNGvWDIVCoe14QgghhBDvndatW3P27FlCQkIwMTHRdpxXplarqV69OsnJyZw5cwY9PT1tRxLinSBzNwghhBBvqfj4eKZOnUqxYsVo3749AOvXr+f69euMGjVKihBCvAQ7Ozu+/PJLbt++zcqVK0lJSaFVq1Z4e3sTFBREQkKCtiMKIYQQQrw39uzZw+bNm/n555/fiyIEgI6ODkFBQVy4cIEFCxZoO44Q7wwZESGEEEK8ZUJCQpg5cyZLly4lKyuLTz75hICAACpUqKDtaEK8l06cOEFQUBBr167F2NiYnj17MnToUDw9PbUdTQghhBDinZWVlUWFChWwtLTk0KFD6OjoaDtSgerevTvbtm0jLCwMKysrbccR4q0nhQghhBDiLaBSqdi1axdBQUHs2LEDR0dHBg4cyIABA3B0dNR2PCE+CJGRkcydO5d58+YRFxdH8+bNCQgIoF69eu/dH85CCCGEEK/bnDlzGDJkCKdOnaJixYrajlPgoqKi8Pb2pl+/fkyfPl3bcYR460khQgghhNCipKQkli1bxsyZMwkNDcXX15fhw4fTsWNHDA0NtR1PiA9SamoqK1asICgoiIsXL1K6dGkCAgLo0qULxsbG2o4nhBBCCPHWi4+Px8vLi5YtW7Jo0SJtx3ltfvzxR7799lsuXbqEj4+PtuMI8VaTQoQQQgihBXfu3GHWrFksWLCAhIQE2rZtS0BAANWrV5c3r4V4S6jVavbt20dQUBBbt27FxsaGfv36MXjwYFxdXbUdTwghhBDirTV8+HAWLlxIWFgYTk5O2o7z2qSlpVGiRAlKlizJX3/9pe04QrzVpBAhhBBCvCFqtZrDhw8TGBjIpk2bsLCwoG/fvgwePBgPDw9txxNCPMONGzf45ZdfWLRoEampqbRv356AgAD8/f21HU0IIYQQ4q1y9epVypYtyw8//MCYMWO0Hee1W7duHR06dGD79u00btxY23GEeGtJIUIIIYR4zdLT01m1ahVBQUEEBwdTvHhxAgIC6NatG6amptqOJ4TIh4SEBJYsWcLMmTO5ceMGfn5+BAQE0L59e/T19bUdTwghhBBC65o0acK1a9e4cuXKBzHdrFqtpm7duty/f58LFy7Id0IhnkJX2wGEEEKI99W9e/f47rvvcHd3p0ePHjg5ObFjxw4uX77MgAEDpAghxDvIwsKCYcOGERoaypYtWzAzM6Nz584ULlyYiRMn8vDhQ21HFEIIIYTQmm3btrFjxw6mTp36QRQhAHR0dAgMDCQ0NJS5c+dqO44Qby0ZESGEEEIUsDNnzhAUFMSqVaswMDCge/fuDBs2TBYvE+I9dfHiRWbOnMkff/wBQJcuXQgICKBMmTJaTiaEEEII8eZkZmZSpkwZXF1d+fvvvz+4te/69evH2rVrCQsLw87OTttxhHjrSCFCCCGEKABZWVls2rSJoKAgDh8+jIeHB0OHDqV3795YWVlpO54Q4g14+PAhv/32G7NnzyYyMpJ69eoREBBAs2bNUCgU2o4nhBBCCPFaBQYGMnLkSM6dO/dBvpDx4MEDvLy86Nq1K7Nnz9Z2HCHeOlKIEEIIIV5BfHw8CxYsYNasWdy9e5datWoREBBAy5Yt0dPT03Y8IYQWZGZmsn79eoKCgjh+/DhFixZl6NCh9OrVCwsLC23HE0IIIYQocDExMXh5efHJJ5980NMTTZs2jdGjR3P+/HlKly6t7ThCvFWkECGEEEK8hKtXrzJz5kyWLVtGVlYWnTt3ZtiwYVSoUEHb0YQQb5GTJ08SFBTEmjVrMDY2pmfPngwdOhRPT09tRxNCCCGEKDADBw5k5cqVhIWFYW9vr+04WpORkUHp0qXx8PBg165dH9z0VEI8ixQihBBCiBekUqnYuXMnQUFB7Ny5E0dHRwYNGkT//v1xdHTUdjwhxFssMjKSuXPn8uuvvxIbG0uzZs0YPnw49erVkz9QhRBCCPFOu3DhAhUqVGDq1KmMGDFC23G0buvWrbRs2ZLNmzfTsmVLbccR4q0hhQghhBDiOZKSkli2bBkzZ84kNDSUihUrEhAQQMeOHTE0NNR2PCHEOyQ1NZUVK1YQFBTExYsXKV26NMOGDaNr164YGxtrO54QQgghRL6o1Wrq169PVFQUFy5cwMDAQNuRtE6tVtOoUSNu3rzJ5cuX5W9GIf6hq+0AQgghxNvq9u3bjBo1Cjc3N4YOHUqZMmU4fPgwp06dolu3bvKFUgiRb8bGxvTu3Zvz58+zd+9eihUrRv/+/XFzc+PLL78kIiJC2xGFEEIIIV7Ypk2b2LdvH9OnT5cixD90dHSYMWMGt2/fZubMmdqOI8RbQ0ZECCGEEP+hVqs5dOgQQUFBbNq0CUtLS/r27cvgwYNxd3fXdjwhxHvoxo0bzJo1i4ULF5KSkkL79u0ZPnw4/v7+2o4mhBBCCPFU6enplCxZEm9vb7Zv367tOG+doUOHsnTpUsLCwmQqXyGQQoQQQggBZH+JXrVqFYGBgZw7d44SJUowbNgwunXrhqmpqbbjCSE+AImJiSxZsoSZM2dy/fp1qlSpQkBAAO3bt5c3DIUQQgjx1pk8eTJfffUVFy9epESJEtqO89aJjY3Fy8uLdu3a8dtvv2k7jhBaJ4UIIYQQH7R79+4xd+5c5s2bx4MHD2jSpAnDhw+nYcOGsoCsEEIrVCoV27ZtIygoiL///htnZ2cGDx5Mv379sLe313Y8IYQQQgiio6Px9vamd+/eBAYGajvOW+uXX34hICCAM2fOUKFCBW3HEUKrpBAhhBDig3TmzBmCgoJYtWoVBgYG9OjRg6FDh+Lj46PtaEIIoXHp0iVmzpzJ77//jlqtpkuXLgQEBFC2bFltRxNCCCHEB6xXr15s2bKFsLAwrK2ttR3nrZWZmUn58uWxtbXlwIED8rKb+KBJIUIIIcQHIysri02bNhEYGMiRI0coXLgwQ4YMoXfv3lhZWWk7nhBCPFVsbCy//fYbs2bNIjIykrp16xIQEEDz5s1RKBTajieEEEKID8iZM2eoXLkys2bNYtCgQdqO89bbtWsXjRo1Ys2aNXTo0EHbcYTQGilECCGEeO/FxcWxYMECZs+ezd27d6lduzYBAQG0bNlSHuAJId4pmZmZbNiwgaCgII4dO0bRokUZMmQIvXr1wtLSUtvxhBBCCPGeU6vV1KxZk8ePHxMcHIyenp62I70TWrRowcWLF7l69SrGxsbajiOEVuhqO4AQQgjxuly9epWBAwdSqFAhvvnmG+rVq0dwcDD79++nTZs2UoQQQrxz9PX16dSpE0ePHuXEiRP4+/szevRo3NzcGDZsGGFhYdqOKIQQQoj32OrVqzly5AiBgYFShMiHadOmERUVxfTp07UdRQitkRERQggh3isqlYqdO3cSGBjIrl27cHJyYtCgQfTv3x8HBwdtxxNCiAIXFRXF3LlzmTdvHrGxsTRt2pThw4dTv359mYdYCCGEEAUmJSWF4sWL4+vry6ZNm7Qd550zatQo5s6dy7Vr13B1ddV2HCHeOClECCGEeC8kJSWxdOlSZs6cybVr16hUqRIBAQF07NgRAwMDbccTQojXLi0tjRUrVhAUFMSFCxcoVaoUw4YNo2vXrpiYmGg7nhBCCCHecd9//z0//PADV65cwdPTU9tx3jmPHz/Gy8uLxo0bs2zZMm3HEeKNk0KEEEKId9rt27eZNWsWCxYsICkpibZt2xIQEEC1atXkTWAhxAdJrVZz4MABgoKC2Lx5M9bW1vTr14/Bgwfj5uam7XhCCCGEeAeFh4fj4+PDkCFDmDJlirbjvLPmz59P//79OX78OH5+ftqOI8QbJYUIIYQQ7xy1Ws3Bgwc1D9ksLS3p168fgwYNwt3dXdvxhBDirXHz5k1mzZrFwoULSU5Opn379gQEBODv7y/FWiGEEEK8sC5duvD3338TFhaGhYWFtuO8s5RKJRUrVsTY2JijR4/K9zHxQZHFqoUQQrwz0tLSWLJkCb6+vtSpU4eQkBDmzJlDeHg4kyZNkiKEEEL8n6JFizJ9+nQiIiKYMWMGZ86coVq1avj5+bFixQoyMjK0HVEIIYQQb7ljx46xYsUKfvzxRylCvCKFQkFgYCDHjx9nxYoV2o4jxBslIyKEEEK89aKjozULscbExNC0aVMCAgJo2LChvEEihBD5oFKp2L59O4GBgfz99984OzszaNAg+vfvj729vbbjCSGEEOIto1Kp8Pf3Jysri1OnTqFQKLQd6b3Qvn17jh8/TmhoKKamptqOI8QbIYUIIYQQb63Tp08TFBTE6tWrMTAwoEePHgwdOhQfHx9tRxNCiHfe5cuXmTlzJsuWLUOtVtOlSxcCAgIoW7astqMJIYQQ4i2xbNkyunfvzsGDB6lZs6a247w3bt26RYkSJRg9ejTff/+9tuMI8UZIIUIIIcRbJSsri40bNxIUFMSRI0coXLgwQ4cOpVevXlhZWWk7nhBCvHdiY2P57bffmD17NhEREdSpU4eAgABatGghbz0KIYQQH7CkpCS8vb2pUaMGa9as0Xac986XX37JjBkzCAkJwcPDQ9txhHjtpBAhhBDirRAXF6d5EBYeHk7t2rUJCAigZcuW8iBMCCHegMzMTDZu3EhgYCDHjh2jSJEimkKwpaWltuMJIYQQ4g376quvmD59OlevXqVw4cLajvPeSUxMxMfHh1q1arFq1SptxxHitZPFqoUQQmjVlStXGDBgAG5ubowbN4769esTHBzM/v37adOmjRQhhBDiDdHX16djx44cPXqUkydPUq1aNUaPHo2bmxvDhg0jLCxM2xGFEEII8YbcunWLadOmMWrUKClCvCbm5ub89NNPrF69mkOHDgGwdetWMjMztZxMiNdDRkQIIYR441QqFTt27CAwMJDdu3fj5OSkWSzVwcFB2/GEEEL8Iyoqirlz5zJv3jxiY2Np2rQpAQEBNGjQAB0dHW3HE0IIIcRr0qFDB44ePUpoaChmZmbajvPe+ncxcKVSyc6dO7G3t+evv/6iadOm2o4mRIGTERFCCCHemKSkJGbNmkWJEiVo1qwZ8fHx/P7779y5c4dvvvlGihBCCPGWcXFxYcKECYSHh7Nw4UIiIiL46KOPKFOmDPPnzyclJUXbEYUQQghRwA4cOMC6deuYNGmSFCFeMx0dHQIDAzl79izr1q0DsqctFuJ9JCMihBBCvHa3bt1i1qxZLFiwgOTkZNq1a0dAQABVq1aVN2qFEOIdolarOXDgAEFBQWzevBlra2v69u3L4MGDKVSokLbjCSGEEOIVKZVKKlasiJGREUePHkVXV95hfl3i4uJwc3Ojf//+REVFsX//fh49esT06dMZPHiwtuMJUeDkvyZCCCFei38fVrVt2xZPT08WL17MwIEDuXXrFqtXr6ZatWpShBBCiHeMjo4OderUYePGjVy/fp3u3bszd+5cihQpQqdOnTh69CjynpMQQgjx7lq0aBHnz58nKChIihCvmY2NDRMnTmTevHmcPHmSR48eoaenx+PHj7UdTYjXQv6LIoQQokClpaWxZMkSKlSoQJ06dQgNDWXu3LlEREQwadIkeWNWCCHeE0WLFmX69OlEREQQGBhIcHAw1atXp0qVKixfvpyMjAxtRxRCCCFEPjx+/JivvvqKrl274ufnp+04H4QRI0Zw/vx5XF1dycjIICUlhTt37mg7lhCvhRQihBBCFIjo6GjGjRuHu7s7PXv2xM3NjV27dnHp0iX69euHiYmJtiMKIYR4DczNzRkyZAghISH8+eefWFtb07VrVwoXLsyECRN48OCBtiMKIYQQ4gVMmDCB5ORkJk2apO0oHxRvb28OHDjAlClT0NHRISQkRNuRhHgtZI0IIYQQr+T06dMEBQWxevVqDAwM6NmzJ0OHDsXb21vb0YQQQmjJlStXmDlzJsuWLUOlUtG5c2cCAgIoV66ctqMJIYQQIg9hYWGUKlWKb775hm+++UbbcT5Yt27dwsrKCmtra21HEaLASSFCCCFEvmVlZbFhwwaCgoI4evQohQsXZtiwYfTq1QtLS0ttxxNCCPGWiIuL47fffmPWrFlERERQu3Zthg8fTosWLVAoFNqOJ4QQQnzQtm3bxrx589iyZQstW7bk/PnzhISEYGxsrO1oQoj3kEzNJIQQ4oXFxcUxefJkihYtSqdOndDX19csWDpixAgpQgghhMjBxsaGMWPGcOvWLdasWUNmZiZt2rTBy8uL6dOny2KMQgghhBadOHGCs2fPsmvXLrZu3crPP/8sRQghxGsjIyKEeIvt27ePefN+5cjRY6Slp2k7jniH6Oro4lbIjXZtWjN8+HBMTU1fqb8rV64QFBTE77//rpliY9iwYZQvX75gAgshhPhgvK4p/W7fvk1QUBA7tm8jLi6ugNKKD4WBgQHlypWnZ69etGvXTttxhBDijRg+fDi7d+8GwNbWlhkzZnDixAkGDRqk5WSvZteuXcz/9VdOnTxOWlq6tuOId4yFhTkNPmrM0KFDKVmypLbjvFekECHEW2rjxo106NABc1cvbMvVR8/IFHR0tB1LvCPUKhVJkdd4cGYn1ar6s2vnDgwNDfPVh0qlYvv27QQFBbF7926cnJwYNGgQ/fv3x8HB4TUlF0II8aGIjo5m7ty5zJs3j5iYGJo2bUpAQAANGzZEJ5/feW7fvk3NGjVIS0mkZY0KONtboSvfm0Q+pKZncvBcKCcvXWfGjBkMHz5c25GEEOK169mzJ/v37+f27dv07t2bJUuWULVqVQ4ePJjv38Vvi+XLl9OtWzdKuVhQx9MKU0OZClK8OLUaHiZlsCMkjlS1PvsPHKRs2bLajvXekEKEEG8htVqNt08JEkxcqPz57+joyi9O8XIeXjnK8R/asWHDBtq0aZPreEpKCh9//DG9e/emVatWACQmJrJ06VJmzpxJWFgYlSpVYvjw4XTo0AEDA4M3fQtCCCHec2lpaaxatYrAwEDOnz9PyZIlGTZsGN26dcPExASAoUOHkpaWxvz58/N8MPLZZ5/x+5KFHF0wDidbqzd8B+J9oVar+SxwOav3nOLBgxiZnkQI8d5r3rw527dvx9LSkqSkJL7++mvGjh2Lvr6+tqO9FJVKhUchN8rZKPn1k9Lo6r6bxRShfY9TM2ky5yxVGzZnxYqV2o7z3pA1IoR4C929e5frYaG41/9UihDildiVrIalmzc7duzIdUylUtG9e3f27NlD0aJFuXXrFp999hlubm4MHz6cChUqcOTIEU6ePEmXLl2kCCGEEOK1MDIyokePHgQHB7N//358fHwYNGgQbm5ufPHFF4SHh1O3bl0WLFjAhAkT8uxj547ttKxRQYoQ4pXo6OjQt1VdkpKSOXr0qLbjCCHEa3fx4kVUKhWFChXi9OnTjBs37p0tQgBcvXqViKhoPvVzlSKEeCWWxvq0KWvPju3btB3lvaKn7QBCiNz+ndfYyMZJy0nE+8DQ2inPubLHjx/PunXr+P777xk3bhxbtmzB0tKSQYMGMWjQIAoVKqSFtEIIIT5UOjo61K5dm9q1a3Pr1i1mzZrFvHnzmDp1Km3btqVPnz58++23FC9enI4dO+Y4Ny4uDmd7Hy0lF+8TF3trAFlnRAjxQWjYsCGZmZksWLDgnS5A/Ovf/3Y7WeRvWmIh8uJsaUj8owRtx3ivyIgIId5iOjqv7/9F/+zszPaeRbm2Yfpru0ZBeHjlKNt7FuPPLi48vCJvpr0U3dz/Hi1dupTvv/8eJycnxo0bx7Vr15g7dy4RERH89NNPUoQQQgihVUWKFGHatGlEREQQFBTEuXPnWLBgATY2NnTt2jXPt9V1eL1vPlrU6YNT40FMXrb1tV7nVS3fcQTnxoOxqNOHO9EPtR3nnSNv0AohPiQLFixg6dKl70UR4r9e9/IWLmP3UGzcPmbsufV6L/SKRq6/StFv9lFl8hFtR3knvaPLpLzVZESEEB+w2lMOYGKf/cA5PuwMIWsmkXDrIjp6+jiUr0+pTyegb2IOQGbyYy4v+4YH5/cC4NGgBz7tR2n6Cl0zmeiTf5IUfYNy/WZQqHanHNdKT3jI5WXjeHBuDzroYF++Hr5D5uRok5EUz/6RNTBz86HaNxuA7KmFmiy+wZ5hlV/b5/A8Dy8d4uLisaTGRmLtWZHyAwIxtnPLs+2zPoeHV45yfGJ7FAZP5hsu3fMnCtXKfqvz1s6FhO9fSWJ4CJ6th+f4fAvSpUuX6NGjBwAZGRn4+/tTrFgxLl26RHx8vGY+biGEEELbjhw5wu7duzUF8oiICDIzM6lXrx6pqalvfCHNE4u/x8PZTrOdkpbOV3PXsnHfabKUSkoXc2PHzDEA/Lh4M1P/2Iah/pM/uY4u+o4iLvYcvXCNdqODcvSdnJbO7+MH0qp2RXYev8DXc9cS/fARBvp6NKhSmqkBnbEwzf4OEZeQxJApS9l7+jJ2luZ8168d7etXAaBL4+p0aVwdizp9XvfH8VRr/j7B+N/WE/s4ifqVSzFrdA+szU2fec6KnUcZ8NMi5o7pSZcm1QE4GBzCj4s3c+7aHXx9CrMtaHSu8+as+5u56/7m4aNE3BxtWPHDYLwKyahiIYQQr9f+Ef4Uss7+vZyRpWLQqksEhycQnZDOidHVNMcge72BMZtCOHQ9HoB63rb81NoHM0M9oh6n0W/5RW4+TEGthjKu5vzQwhtvRzMge/2iiTtusPJUJABdqrgytlGxXN+B1p6NJmDtFWa0L0Gnii4ATGtXgnYVnBi+9spr/zzy8qLZ/zVl9w1WnY4mOT2LMq7m/NSqOF4O2d8fqkw+wsOkDM0LA5XcLVnVuwIAYzaGsP7cPU0/WUoV+gpdwsbXeX03J16KFCKEEABkpjymcMMe2Jetg1ql4tycIVxdPp6yfacCcPn3b1FmpFE/6CTpCbEcn9gBEzs3CtX5GABTpyKU6v4DoWun5Nn/mRm9sSpWgfozT6MwMCIxIiRXm6srf8DM1atA7yv9cQyGlvYvfX5GQiynA/tQrt80HMo3IHTtFM7OGkT177bk2f55n4OxrSv1Z57K85iRjTM+HcYQfuD1LoRUqFAhmjZtioWFBQqFgoSEBCIiIrh+/ToxMTG4urq+1usLIYQQLyo1NZXMzEwcHBwoVqwYFhYWpKWlYWdn98aLEHkZNnUZSpWaM8smYGVuyoXrd3Mc79jAj3lje+U6r1pZb6J3zNZsHwoOodOXv9CgSmkAynm589eMUTjYWJKcmk7AtGX8uHgzk4Zkf+8aGbgCI0N9rm+YzsXr4XQYO5OynoXw9nB+5XuKiU/A3tripc+/eiuSz2b8wdqfhlHGsxDDpi3j86AVLPi671PPiU9MZtof2yhR2CXHfhMjA3q1rMPtqBj2n8n9EGXpnwf5fdsh1k4aho+HM7eiYrAylxcqhHhXpaamsnfvXiIiIlCpVNqOI94hRkZGVK1aVasZ/ItYM6iWB83nns517OfdN3mUksXxz6uhBvr8cYEZe2/xTRMvrIz1+aVjKQrbGqNSw9LjEQxefZndw/wA+ONkJLtDYvg7IHv740XBeNga06Xyk7/bH6VmMnP/bXwcn130z4/0LBVpmUosjV9+tMyLZP/XtksPWHkqik0DKuFmZcTkXTcIWHuFbYOfvJT6R8/yVCtqnevcyW2KM7lNcc328LVXZDTDW0oKEUK8p5Lv3+bw102o+s16LNxLkvLgLoe+boz/l6uxLFwmV3uHcvVybLvX7ULImp802/fP7sJ/7CoUhiaY2JtQqM4nhB9YqSlEuP3zVn/Yppxv9wHEXNhPamwUVb/ZoFl8+/8zxF07RWJ4KB71uhJ+aM0r3XtGYhyRRzcSvn8VZi6e+A6d+9J9RZ/ahoV7CZyrNAfAu90odvUvRfK9W5g6FcnV/lmfw/M4V26afc2Tf7503hdhaWnJX3/99VqvIYQQQhSE1q1b07p16zdyrZuRD6gz4Ae2BX5O6WKFuB0dQ+3+P7Bl2kjKebnnan/tTjTbj57n6tqfNSMVKvgUfqlrr9h5lFa1K2JqnD2n9f8vuq1Q6HIrKgaA5NR0thw8w+llP2BmYkTVsl40qVaOVbuPM65Pm5e6flRMPCt2HuWP7UdoXbsi3/Vr91L9QPZoiKbVy1O1bPbLJV/3ak2VHuOYOepTTIzynrN7/PwNDGhXn437cr6sUalEUSqVKMry7bmnlFCpVExaupW5X/Si+D8FjKKuDi+dWwihXZs2baJL126kJCeBjg66//zdKMTzqNVq1ColAOV9fQukz9uxKTSdfYp1fX0p6WzO3bhUmsw6yao+vpRxMc/V3kBPlz7Vnz698d34NBqXtMfcKPsxbJNS9uwNjQXAxEBBETuTf28Gha4Od+JSNeeuOXuPATU9cLY0AqB/DQ9Wn4nK8TD/px036F21EFsv3n/le78Ulciq01FsPH+fWR1LUdfH9qX7epHs/7obn0qVwlZ42GR/p2pXwYmFR8Pzfc2UDCV/XXrAsu7lXjq3eH2kECHEe8rUsTA+Hb8geM5Qanz/J8FzhlC0ab88ixB5ibt2CnPXnIs+qtXq/26RGB76Qn3FXz+LmXMxzs0dxoPz+zBx8KBk12+xLe6f3ZNKyaUlX1K2z1QSw3OPlHgRapWKmIv7Cd+/ipgL+7EvUxufjl/gUK6Ops3Jn7sRF3oyz/Ndq7WhTK9JufYnRoRi4V5Ks61nZIKpoweJEaF5FiKeJy3+PrsGlEFhaIxTpSYU7zgGhaG8uSeEEEJoW1FXB8b1aUO/HxeyZ86X9Ju4kCEdGuZZhAA4HXKLQo62/Lh4M6t2HcfJ1pKverWiRc0nD0H+PByMe4thONta0b9tfXq1rJ2rn+TUdDYfOMPqH4fm2H/5ZgSNh07mcXIqpkaGrJw4BIDrEfcx1NejiMuTEZ9lihXi+KXr+brfjMwsth05x+/bD3Py0g2a16zA7NE9qFb2yejUqr2+JeJ+3os2j+jchM+6NM21/+rtKKr/p4+irg7oKxTciHhAGc/cD2lOX71JcOhtpo/okqsQ8SyRMfFExsRz5VYkAyctQk+hoHPjanzRvcVbMVpGCPHiwsLCaN+hA1ZlG+Ld9guMnJ4+dYsQeVGmpxJ/YTcXF39WIP0VtjVhzEfFGLbmClsHVWLomsv0q+meZxHiRfTwd2XR0Qhal3cEYNulGBqXyjlzQ+XJR7iXkI5KreaLj4pp9l+7n0QpZzPNdilnM67dT9ZsB4c/5nxkAj+18nnpQkR8SiYbzt1j1eko4pIzaVfBiS0DKlHMPvtZRcSjNBoEnXjq+Uu7l8OvsFWu/c/L/l8tyjiy8dx9bsSk4G5jxJqz0dT1zlkEGbjyEiq1mtIu5oxr6kUJJ7Nc/fx16QG2pvr4F8mdR2ifFCKEeI8Vbtid+2d2cPjrJiiMzPBsOfT5JwFxISe4u+d3qn23WbPPoVxdrm+eSfkBQaQ/jiF8/yqUGanP6OWJtNgoYi4eoGzfaZTrH0j0yb84Pa0ndWccxcDMmls7FmBdzBerouVeqhBxa+cibmydjaGVPYVqdaJM7ykYmFnlalfl89/z3bcyPQVDq5xv1+mZWJCVlpTvvsxcPKn1027MXLxIfRjBuXnDuLJiAmV6/vT8k4UQQgjx2vVpVZe/Dp+jTv/s0Qafdc79oP1fUf88BG9Zy5dr66dy8vINOo6dSfH5LngVcqJt3cr0bFEbB2sLTl+9Sddxc7G2MKVNnUo5+tly6Cy2lubUKJ/zBZBSRd0I/+sX7sc+ZvGfB3F1yJ6KIDk1DQvTnC8xWJgZk5SS9sL3OWHhJhZvPUCJwi50blyNZd8N1IzG+K9ji8a/cJ//ys5nnGPf0/IplSpGzljOzwGd0dXVzdd1omKy59nee/oyxxaN53FSCq0/n0EhRxu6NqmR79xCCO1ZvXo1uvqGFOv7S4719IR4UQpDY+wqt+Tx1aM8OJD/v/vz0t3fjZ1XYmg6+xRmBgqG1C780n2VdDYnQ6mi9ISDqIE6Xrb08M+57uSpMdVJyVCyPjhaM4IAIDlDibnhk8e35kZ6JGVkjwBRqtSM3RzKxJY+mrUT8iMxLYtRG65yICyOut62fNXYk1qeNrn6crMyIuTb3C9TPM+zsv8/ezMDqhS2pOb0Yyh0dXC1NGRD/4qa47M6laKMqzlqNSw8Gk7nRcEc+KwqFkY5H22vPRtNe19nKWa+pfL3bU8I8c4pVLcLiRGhFGncWzMt0rMk3L3K6cA+lB88C3O3J38Ql+r+A7r6huz7rBqnpvXApVprjGxebB5iXQMjjO0L4V63M7p6+rhWa42RjRPxYWdIi7/HrZ0L8en0xUvfY2rMXbJSE7DwKIWFe8k8ixAvS2FoQlZqzqJDVmoieka5K+/PY2TlgLmbDzq6upg4uFPik2+IPvF6p2ESQgghRP50b1aTq7ejGNCuPgrF0/9cMjLUR19PwehuzTHQ16NGeR9qlPdh3+nstQyKF3bB2c4KhUIXv9KeDGxXn80Hcs8bvXLHUT5uVPWpfzA72lrykV8Zen0/HwBTYyMSU3K+DJKYnIqZiVFep+fpevg9spRKyngWokyxQnkWIV5Wdr6cRYen5ftt8z5KFXOjSqliuY49j5GhAQDDP26MlbkJHs529GpRi13HL75ccCGE1ly5cgVTj7JShBCvzLRQ8ec3yofOlV0IvZ9Mr2qFULzEg/5/9V9xES8HU659V4cr39TCxECX77eF5WpnYqCgaxVXRqy7wsOkDABMDRQkpmdp2iSlZ2FmkP1sZ8nxCEo4mVHR3fKlcmUq1YTeT8baRJ+SzmZ4O5q+VEHjaZ6V/f/N2HuLC5GJBI+twY3xdejq50qPZRc0M3NUKWyFsb4CEwMFQ+sUxsxIj9N3HuXoI+JRGkdvxtPB99XXzBKvh4yIEOI9lpmSyNXl4ylU5xNCV0/CsUJD9Iyf/gA9+f5tTk7pQqlu43Gs0CDHMQMza3yHzNFsh6z6EatiFV4oh4V7SR6c3f1/e7N/uT26Hkz6owcc+Dy7uq7MSEOZkcbfQ3xpMOvsC/Vfsut3FGsxhIjD67i4aAzKzHTcarTHrWYHTByeTKdwYnJn4kLyHk7oWqMdZXvnXmDa3M2HyCMbNNtZaSkk37+do0jz0nR0APVzmwkhhBDizUhITuXruWvp1rQGExZspHHVcpg/5QF/6aK5pxl61tt3Ojo6qP/v137EgzgOnQslcGS3Z+ZSqlTcjHwAgKebI2kZmdyOjqGwc/a0DhdvRGjWSXgRS78bwN17sfyx/TBdvpmDmYkhnRtVo2MDfxxtnzzMqNJjHOH3YvPsY2TXpozq2izX/hKFXbh448mczreiYsjIUlLMLff6DQfOXOXI+Wua4kF8YjIXrodz+VYEPw7q9Mx78CrkiIG+Xo7PXN5+FOLdlJmZiY5ewRVE3xYJ105w8/cvKD9hX4G2FU+noyi4f48S07L4ftt1Pq7kzORdN2hYwg4zw5d7jHo5OokpbYpjYqAAFHT0dWHijrynVFSrs9c5iHqchp2ZAd6OZlyJTqKsq4WmL+9/FqU+fCOO4zcfsTf0EJC9aPWlqERC7iXzbTOvPPv/LxtTffaP8Ofs3cesPhNNw6ATlHG1oKOvM41L2f+TN/sBf50Zx5/az/Ie5fArknsR6Wdlz/UZRSXSupwjjhbZ/xv29Hfjxx03iEvOxNbMIFd7nX8+q/9aHxxNZY8n60yIt48UIoR4j11e9jW2JatRrt90zs4cwOXfv6Vcv2l5tk2NjeL4jx3xbDUM1+ptcx1Pvn8bfRML9EwseHjxAHf2/kG1cRs1x1VZmdkLRKlVqJSZKDPS0NXTR0dXgVPlJlxd/j3hB9fgVqMd0ae2kxZ/D2uviigMTagX9GTdhqhjm4k+voVKny3K170aWtpRrNkAijUbQPz1YMIPrOTQlx/hVrsjpbp9D4DfmBX56hPIzr7yB6JPbcOhXD3CNk7HsnCZp64P8azP4eHlI5g4uGNs50ZaXBQhqybiWLHRk3OVWaiVWahVStSqLJQZaego9NBVyH+qhRBCiDdh9MyV1Cjvw+zRPegx/lfGzlrFrNE98mxbvZwXbg42TFuxjZGdm3L66k0Onwtl4qCOAPx1OJhq5byxMjPhTMgt5m3Yw/f92+foY9WuY/iVLpZrkeWN+09T3tuDws52RMXEM2HBRmpVyH7L09TYkBY1fflh4SaCRn7Kxet32X7kHHvmfJmve3V3suXLnq0Y26MlB4ND+H3bYSYt3crYni0Z0uEjAE4u+T5ffQJ0bOBHwyGTOH4xjDKe7kxctInWtSvmuVD13C96kZ6RqdnuMm4ObetWpmuT6kD2gtQZmUoylUpUajVp6Zno6upgoK+HiZEhbetWJnDlDsp6uZOQlMLirQf5rEuTfGcWQojXwcLb74ULC/lpmx9Ru+YTtX0Oqsw0bCo2o2i3n9DVy/1QF+DxlUPcXP4VGXGRmBX1xbNXIIa2uRcV/lB8s/Ua1YpaM71dSQasvMi3f4YxrV2Jp7ZPz1Jp3t5Pz1KRlqnEUE8XHR0dyrmas+JUFF829iRTqWJdcLRmfYMTt+LRV+hS1tWc9CwVU/fcwtxID2+H7Af2HXydmHfoLnX+WS/h10N36Vsj+2WIwPYlSc9SaTL0/uMirco60Knii7+cAODrbomvuyXfNfdi+6UYVp2J4sstoSzrXo4qha1wszLi+vg6+erzedn/X1k3C7ZceEDLMo5Ymeiz7EQkjuYG2JjqE/EojahHaZR3s0ClVrPoWASPUjOp6JFzJMjas/cYXNsj3znFmyNPt4R4T907tZ3YK0eoNSn7y0zpXj9xYEw97p/djaNvw1ztw/evJDUmnKsrJnB1xQTN/iaLbwDw+NYFLi/7hsyUBMycPfEdOjfHqIALC0YRcXANkL3GxMUFn1OufyCFanfCwMyaSqOWcGnxWC4tHouZiyeVRy7BwCy7Yq74zxoM+iYW6OjpY2iZc+Gm/LD2rIC1ZwVKdfuexIgXW1D7aQwt7KgY8BuXlnxJ8KzBWHv55hgZcmHhaADNaIpnfQ4Jty8SPGcImcmPMDCzwalyE4p3GqvpK2xjIGEbnhSKrm8KwqvtSHzaj3qlexBCCCHE8/15KJhD50I06yJMH9GFqr2+Y/vR8zSpVi5Xe309PVZNHMKQn5cyY8V2Cjna8ttXffB0y16Ict3eUwyasoSMjCxc7K0Z2aUpnRr65+hj5c5jBHzcKFffd6Jj+GrOGuISkrA0M6FBldJ836+d5vj0EV0YPHkJxdqMwNbSjBmfdcPb4+WmIdDR0aG2bwlq+5YgITmV8Pt5j4B4USWKuDJ9RFd6TfiNuIQk6lUqxewxPTTH244OpFpZL0Z1bYaVec61Lgz0FFiaGmvWmDhy/hrNRkzVHHdoNJAa5bzZFpT9/WtqQGeGTV2GT7uRWJqZ0LNFbTo3qvZK+YUQ4n3x6NJ+orbPoeTnazGwtCd0dh8itszAve2YXG0zE+MIndOPYj2mYl2uPnc3/kzY/MGUHrvpzQd/C2y/HMORm/HsDfAD4KdWxakfdILdVx/SsIRdnufUnHaMiEfZUxPWmp49euDE6GoUsjZmevuSfLU5lAo/HkIH8C9qzU+tvAFIzVTxxeZQwuPTMNTTpZyrOX/0KI+RfvZohG5VXLkTl0q9wOw+u1RxpXOl7EKDpbF+jgwGCh3MjfQwN3q5x73G+graVnCibQUnIuJTX3mk4bOyA3h+u18zmmJwbQ8eJKZTL+gEaZlKvB3NWNC1LDo6OiSnZzF2cyi3Y1Mw0tOllEv2Z2T1n/s/fecx0Y/TaFEm9whM8fbQUav/fyCLEELbgoOD8fX1pebEnVgWKftarrGte2F09Qwo1mIQXq2Hv5ZrFITYq0c5Na0nqswM/L5YgW2JqtqO9M45OfkTannZsXbtWm1HEUIIIV4LZydH+jSrxuhPm7+2a9g3HIChgT4BHzfi826v7zqvauWuY4wOWkFaRiZnfp+Iu5OttiO9UxKSU3FrNpQ1a9bQoUMHbccR4oPQoUMH9oQ8pPiI5dqOkm9Jdy5yY/FI0h7cxqp0HXR0dTF29qJQq5E8DjnKjUUj8J2SPT3w2dF+ODXoTcyRNaTHRmBVph6evWagq2+Yq21BuDZ/MEYOhXFv/TmQPeLh+qLhVJx6Jlfb+wf+IObYBkp/kT0tsTI9hVMBZSg3/m+MHfOeDeBtdP/gSm4uHcXBz/zxtM97CqCCUOSbfRgodBhU24OAum/v5zN641U2nb+Pg7khh0fKs5T8Wn4qks83hCCPzguOjIgQ4gPVdOltbUd4IbYlqtF4wauNahBCCCGEeFUxu+dpO8IL+eSjqnzykTxsEEKI102VlUHorN64NB6IU51uxJ3bRdivg3B9xtz8sae2UGLEcnT0DLg8qTUxx9bjWKvzc691csjTpwQq0vVH7P3b5NqfGhmKrW9TzbZJoVJkxN8jKyUBPROLHG1TIq9hWqikZlthaIKRvQepUdfeqULEm3JrQl1tR3ghU9qUYEqbp/+7I8SbJoUIIYQQQgghhBBCCCHyIenGWUCNc/2eANhWbEp0kfLPPMe5QV8MrLKn8LMu15Dk8MsvdK0qs67mO58yPQWFiblmW2Gc/bMyLSlXIUKZnoyBZc4pbfRMzFGmJeX7ukII8TS62g4ghBBCCCGEEEIIIcS7JOPRfQysc67PY2Dz7EWC9f+zFqKugTGqtOTXkg2yRzUoU58UEpRpidn7jczyaGuaq+iQlZqUZ1shhHhZUogQQhSo2JDj7P+8doG3FUIIIYR43xy9cI0qPcYVeFshhBCvn76VAxnx93Lsy4iLei3XOjHI66n/xBzfkOc5xq4+pIRf0WynhF/BwNop12gIABNXb5L/01aZnkJ6zG2MXbwL/mZEnk7ciqfOjOMF3laIt4lMzSSEKFC2xf2p8/OBAm+bHze3/cqNrbNRZqTh7NecMr0moatnkKudKiuDs78M5NGNYNLioqkXdBIT+0Ka46HrpnJ9c1COc2tN2oupowcA98/sImT1j6TEhGPhXpKyfadi7uZT4PcjhBBCiPdTtbLenFzyfYG3zY9Za3cRuGIHaRmZtKpdkRkjumKg/+w/Eyct3cqPizfz14xR1KxQPMexuIQkKnb7mhKFXdgWNDpf5wohxLvEvFhFQM29vUtwrN2V+At7SLp1DsuSNQv8Wn5zwvJ9jn3V9txYPBI7v9boW9oT8WcQ9tU65tnWxrcJd9ZOJPbsdqzL1CViywxM3cvI+hBvkF8Ra/aP8C/wtvkx//BdZh+4Q1qmkmZlHJjUqjgGenm/w37oehxfbgkl8lEaFQtZMqNDSdysjACIfpzG2M2hnLz9CGN9BQH1CvOpn5vm3FEbrnLkRjx34lJZ19eXakWtC/xexNtJRkQIId4rD87v48bW2fh/vY56QSdJvn+baxumP7W9bYmqVBy+4KnHXau3pcniG5p//i1CJEXfJHjOYMr0mkyjBaE4+jbk1LQeqJRZBX5PQgghhBCvw98nLxG4Ygd/BY7i4qpJ3Ip8wKSlW595zs3IB2zafxonW8s8j3/763p8PJzzPPa8c4UQ4l2iq2eAz+AF3D+4nJNDSxBzbD3W5Rrk+RKcNliXqYtLo/5cntKOs59XwdDOHbeWIzTHz31TVzOaQt/cFu9Bv3J3/U+cHFqKpFvBePWbra3oQgv2X4tl9oE7rOvry4kx1bkTm8qMvbfybBubnEHf5Rf54qNiXPmmFmVczRm86pLm+NA1l/GwMeb8VzVZ1qMck3be4MiNOM3x0s7mzGhfAmdLw9d+X+LtIoUIIUS+Pb51gYNjG7K9lydnAvtyZmZ/QtdNBeDhlaPsGVZZ03bPsMrc3PYrB8bUY0dvb87+MhBlZnqebQtCxKG1uNfrirmrNwZmVni3GUHEwTV5ttXVM6BI4z5Ye/rm+zoxF/ZjW6IaNsX90FXoUazFENLi7hF39dir3oIQQggh3iPnrt2hRp/xuDQZzKffzqXH+Hn8uHgzAIeCQyjdaYymbelOY5i1dhdVe32LW7Oh9Px+PukZmXm2LQgrdh6lR4ta+Hi4YG1uyuhPW7Bix9FnnjMycDnj+7fDQC/3qIkTl65z5VYkXZtUz/e5QgjxLjIrXI5y3+3Gb04YPoPmkxF/T7NuhGXxavhOOaFp6zvlBJbFq2m2C7UaiWfvwDzbFhSXRv2pNOM8VWaH4tlzWo4iSfkJ+7D3b6vZtipZiwoTD+I/7walRq/D0Na1wPN86C5EJtBw5gm8vt1Pv+UX6b/iIlP/vgnA0ZvxVJl8RNO2yuQjzD98l/pBJ/D5bj8DV14iPUuVZ9uCsOZsNF2quODlYIqVsT7D6xVhzZnoPNtuvxxDCSczmpV2wEhfwagGRbkYmcithykkp2dx9OYjhtcrgr5Cl1LO5jQr7cCq00/66lHVDf8i1ih0dAr0HsTbT74BCiHyRZWVwekZvSjabBAeDT7l/pmdnP1lIJ6tvJ56TtTxLfh9sRJdfQOOfteSyMPrcK/b5bnX2tHn6dMclen5E67V2+banxgRinOVppptC/eSpMVFk5mSgH4ec2E+z71T29l5ZhdG1o4UbtQLj/qfao6p1er/tFQDahLCQ7ArXfBDcYUQQgjx7snIzKLLN7MZ1qkxvVvWZtvRc/T8fj4ju+Q9YgBgw97TbPx5BAb6enw0ZBKrdh2je/Naz71WoWZDn3ps2oiudGzgl2t/yO0oWtWqqNkuU8yNqIfxPE5KwdLMJFf7jftPY2igTyP/soxkeY5jSqWKUUErmDnqU67cjMzXuUII8a56HHIUY2cv9M2siTm2npTIEKxK19F2LPEWyshS0fuPiwys6c6nfq7suvqQgasu4eVg+tRztly4z4qe5THQ06XVvNOsC46mS+XnF4iKj3/6FNg/tvKhbXmnXPuv3U+mWWkHzXZJZzOiE9JJSMvCwijn4+PQ+0mUdH6ykLmJgQIPW2NCHyRjb55d7Prv4xI1EHI/52Lo4sMkhQghRL7Eh51BrVZTpFEvAJyrNMOqWPlnnlOkcV+MrB0BcPD9iMe3L7/QtRovCM13PmVaMnrGTwoO/y7ElZWalO9ChIt/Czzqd8XQ0p7462c5E9gHfVNrXPxbYF+6JiGrJvLwylFsvCtxfcssVFkZqDJS851ZCCGEEO+nU1duolZD/7b1AGhZqyIViz97vu1B7RvgZGsFQJNq5bhwPfyFrhX+1y/5zpeUmo6FqbFm28Is++eklLRchYjElDTG/7aBzVM/y7OvuRv+plKJIlTwKZyrEPG8c4UQ4l2VGh1G2K8DUaanYGTvgfeg+ehb2Gk7lngLnQ1/jFqtple17HUpm5Z2oLzbs59R9KleCEeL7OmLGpaw43LUiz3MD/m2dr7zJWcoMf9PweHf4kNSeu5CRHKGEkfznNMqmRvpkZyehZmhHpU9LJm+5yZfN/Hk2oNktl16gI3p2zFlmdAuKUQIIfIlLf4+xjYuOfYZP2fIpqHVk6q6wsCYjISHryUbgMLIlKzURM32vz/rGZs97ZSn+u/C0zbelSnSuA/RJ//Exb8FZq5elBsQxOUlX5L26AGu1dti7uqNkc3T33AUQgghxIcl+uEjXOxzLsDo6mDzzHMcbZ48lDA2NCAmPvEZrV+NmbEhiSlPXqJISE7L3m9ilKvtT0s28/FHVfFwzv2ALfrhI35dv5cD87/O8zrPOlcIId5lTnW741S3u7ZjiHfAvYR0nC1z/n51scz9+/a/HP7zsN9YX0FsUuZryQZgaqAgKe3JmpeJaUoAzAxzPzo2NVCQmJZzfcyktCxM/2k7u1MpvtwcSqXJR/CwNqZteSeuPUh+bdnFu0MKEUKIfDGydiAtPuc8gamxkZg6Fyvwa23v+fQ+y/SegluNdrn2m7v5kHD3Cs5VmgGQcPcKRjbOLzUtU246OcYXuvg1x8WvOQCZyY/5e/9KrIqWL4DrCCGEEOJ94GRrSfTD+Bz7Ih/E4VXIscCv5dx48FOPBY7sRqeG/rn2Fy/swsUbEbT8Z3qmSzfCcbGzznNapgNnQoiMiWfBpn0APHycSJdxcxjzaQs8nOy4F/uIKt3HAZCWkUlqegbF239OyLqfn3nu4A4NX/nehRBCiLedo7kh9xLSc+yLepxGMfvcv3Nflee3+596bErr4rStkHtqJm9HUy5HJ9H0n+mZrtxLxNnCMNdoCAAfRzM2nLun2U7JUHI7LhWff6aZcrM2ZlmP8prjg1Zdeu7oD/FhkEKEECJfrL0qoVarub17Ce71uvIg+G8e3TiHXennz12cX00W38j3OW4123P+189wrdoaQysHwjYG4lar41PbKzPTNcUFVWY6yow0dPUN0dHR4d7pHdgU90ff1JJHN85xa+dCSnzy5E2/RzfPY1m4NBlJ8Vxa/CWOFRth5vr0tTKEEEII8WGpUqoYajX8tmkfPZvXYufxC5wJuUWdiiUK/FrRO2bn+5xPPqrG4CmL6VCvCg42lvz8+190blwtz7Zbpo8kK0up2a4z4AcmD/2Y+pVLo6fQ5dKqyZpj6/edYsO+U6yYMOi55wohhHi6tIfhBI/xp+rC3GvviHdLRXdL1Go1S45F0LWKC3+HxnIuIoGans8eKfkyro+vk+9zOlRw5rP1V2hdzhEHcwOC9t6mY8W8Z3xoUtKeH7ZfZ/vlB9T1tmX6nluUcTGniF12USXsQTLOloboK3TZeuE+B8LiODjiyQsRGVkqVGo16n9+TstUYqDQRVdXFq9+30khQgiRL7p6BlQasZALv43i6ooJOJSrh6NvAxT6b8d8fw7l6lGs2QCOTmiLKjMNZ78WeLd9Mh/x/s9r49lqmGY0xf6RNUh9GJH986jsRabrBZ3ExL4QUcc2c37+Z6gy0zGyccbrP+cBXF72DQl3r6CrZ4CLXwtKdPn2Dd6pEEIIId52Bvp6/PH9IIb+vJRx89bR0K80jauWxdBAX9vRAGjoV5phnRrRZPgU0tIzaV2nEl90b6E5XqXHOEZ2aUqnhv7YWuac5lKhq4u1uSmmxtnTRjjaWmqOWZoaY6CnwMEme9/zzhVCCPHuSL1/k/PjGmBXpSWevQO1HeedYaCny8KuZRm54So/7LhOPW9bGhS3w1BPV9vRAKjrY8uAmh60++0MaZkqmpdxYES9J+ta1ZlxnGF1CtO2ghO2ZgbM71KGr7aEMnjVZXzdLZj98ZOXC/ZfiyVw323SMpWUcTVnZa/y2Jo9eWb0yaJgjt16BEDnxecAWNfXl2pFc05nKd4/Omr1f9cxF0K8DYKDg/H19aXmxJ1YFimr7TjPdfibphT+qCduNTtoO4rIw8nJn1DLy461a9dqO4oQQgjxWjg7OdKnWTVGf9pc21Geq+7AifRrU49PPqqq7SgiDwnJqbg1G8qaNWvo0EG+2wrxJnTo0IE9IQ8pPmK5tqO8dd7GERFXpn2CKjMNI3uPt64Qcf/gSm4uHcXBz/zxtDfVdpznajb7FD2rutHeV9aafBstPxXJ5xtCkEfnBUdGRAgh8u3hlaOYu3qhb2ZN5OH1JEaEYF+2rrZjCSGEEEK8dQ4Fh+Dj4YyNhRmrdx/n6q1IGlQupe1YQgghXkDEXzO5t2cxqvQUDGxc8e4/BxO34sSf383dDZNJi7mLvrkNLo0HahatfhxylBuLRuBQqzPRu+aja2iKV5+ZpD24zd1NP4NaTdFPJ2FT/iMALk9pj7lXFR5dPkDavRtY+FSlWM/p6Jvlfjs8K/kRt1aO4/HlA+joGeDcoDcujQYAkHjjDDd/H0t6zB10DU1x+agfLo0HFOjn8fDEZvRMLDB2qUT6w/AC7ftDcPRmPF72Jlib6LP+3D1C7idRx9tW27GEeGOkECGEyLekyDDOzuyPMj0FEwcPKgb8hqGlnbZjCSGEEEK8dULvRtPj+19JSc2gsIsdy8YPxN5aFmwUQoi3XWr0de7vW0bZb3eib2FP2v0bKIzMAbKLC/1mY+zsReKN01yd3hlzz0qYFsouNKfHR6Ojq0elGeeJ+HMmYb8NwaZiU3wnH+Ph8Y3c+mOsphAB8ODwakqOWI6hvTs3Fo3g9spxePX9JVem6wuHY2jrRoXJx8lKjOPKtE4YO3thXbY+t1d9i0vjAdj7tyUr5THpMXkXCmKOb+TWH18+9b6rzLqa5/6s1ETCN/9MyVFreHBo5Qt/juKJsAfJDFh5kZQMFR42xvzWpQx2Zm/HNNdCvAlSiBBC5Fvhht0p3LC7tmMIIYQQQrz1+rSqS59WMnJUCCHeOboKVFkZpEaHoW9mg7GTp+aQZfFqmp8tvKpgWao2iWGnNIUIXX1DXBoPREdXF9vKLYjYMg23ZsPQ1TPAtkpLbiz+jMzEOPTNsxcqdqjeARO34gAUajOa8+Pq55r2KONxDI+uHKLKL1fQ1TdEYeuKY62uxJ7+E+uy9dFR6JN2/zaZSfHom1mj52FJXuz922Dv3ybfH0f4xp9xqPEJhjYu+T5XZOvu70Z3fzdtxxBCa6QQIYQQQgghhBBCCCHEfxg7FqFwx3HcXT+JtPs3sS7fiMIff4eeiQUJYae4u/4nUqNCUauUqDLSNEUIAH0zG3R0sxch1jUwyt5nkT2LgMLAGABlerKmEGFo46o519DWDbUyk8zEuBx50mMjUGelc3pEec0+tUqJhbcfAMV6/Ez4xp8JHlsDExdP3Nt/hYVXlQL5LJLvXuLx1UOU/XZngfQnhPgwSSFCCPFWSYkJZ29AFZqviNZ2FCGEEEKId86d6IeU+eQLEvYv0HYUIYR459lXa499tfZkJsYR9utAonbMxb3tGK4vGIpLowE41PwEXX1DQmb1Bl5+Qdv0uMgcP+so9NE3tyE9Lkqz39DaGV0DYyrPvKwpcvyXsZMn3gN/Ra3M4t7+3wn7dSAVp57J1S7m+AZuLhvz1Cx+c8Jy7UsIPUb6w3DOfp5d2FCmJ6NWqUi9d4MyX23N172KNyM8PhW/KUeJ+qm+tqMIoSGFCCGEeIpbOxcSvn8lieEheLYejk/7UTmOP7x0iIuLx5IaG4m1Z0XKDwjE2C57mGXYpiDu7v2dzOTH6JlY4FG/G16th2vhLoQQQgghtKNpwBROXbmJnkIBgLO9FWd/nwjA1D/+Ytof2zRtlSoV6ZlZ3Nw4HVsrc63kFUKI/0q9d52MRw8w96yEroExOnoG6Ohm//dMmZaMnqkVOnoGPL5yiMeXD2BaqORLXyvm6Frs/NtiaFuI8I0/Y1OpmeZa/zKwdsLCpyp31k2kUMvP0DUwJvXedVQZqZgVLkfM8Q1Yla6DvpkNCiNT0FHkeS17/7bY+7fNVz6HWl2xrdJKsx21Yx4Z8VEU6fJj/m9WfJA2nb/H9D23iHyUhoO5IYHtS+BXxJqox2n0W36Rmw9TUKuhjKs5P7TwxtvRTNuRxWsghQghhHgKIxtnfDqMIfxA7oW4MhJiOR3Yh3L9puFQvgGha6dwdtYgqn+3BQAX/5YUadQbPWMz0uLvcfzHTpi7FcepUuM3fRtCCCGEEFoT+Fk3ujSpnmv/qK7NGNW1mWb7x8WbOXohTIoQQoi3hiozgzvrJpIaFYaunj6WJWvh0mgAAEW6TuTO6vHcXDYGq7L1sS7X4JWuZV+tI9cXjSAt+joWPlUp1mt6nu28+szkztqJBH9VC1V6CsZOxSjUdjQAjy7u4/bKb1FlpmPsWASvPjNfKdN/KQyNURgaP9k2MkVX30gztZQQz3IgLJaJO24w75PSVHCz4H5iuuaYlbE+v3QsRWFbY1RqWHo8gsGrL7N7mJ8WE4vXRQoRQogcwjYFcXvXIpTpKRjbulJh6DwsChXn/tndhKyZRMqDOxiY21Cs+WDNgtUPrxzl/LwA3Ot14ea2+egZmVB+4C8k379N6NopoFZTtvcUHCt+BMDRCW2x9fHjwYX9JEffwLZkNcr1n4GBmXWuPBlJj7i87BtiLuxHV9+AIo37UqxZ9pe/+LAzXFz0BSkPbqMwNKVo0/4Uaz6wwD4L58pNAYg++WeuY9GntmHhXgLnKs0B8G43il39S5F87xamTkUwdSqSo72Ori4p928XWDYhhBBCvJ2m/vEXv27YS0paOm4ONiwe15+SRV3ZfvQ8ExZu5HZUDLaW5gR80kiziPWh4BAGTlpM9+Y1mbV2N2bGhsz/sg83Ix/ww6JNqNVqgkZ2o0m18kD2SIOqZb3Zc+oS18PvU6O8D3PG9MDGIvfbg/GJyYz5ZRV7Tl3CUF+fge3qM7RTIwBOXr7BZzP+4FZUDKbGhgzp8BHDPm70xj6rf6nValbtOsaY7i3e+LWFEOJpTAuVpOzXf+V5zK5yS+wqt8zzmGXxavhOOaHZNrIrRNWFkTna/P+2kUNhyrbNPV3S/5+rZ2pFsR4/53ldr76/5H0jr0GhViPf2LXeVTP33WbRsXBSMpS4Whkx9+PSFHcyY/fVh0zedYM7canYmOozqJaHZgHrozfjGb72Cl2quDD/0F1MDPX4pWNJbsWm8vPum6jVaia3Kc5HJewBaDf/DH6FrdgfFseNmGSqFrVmRvuSWJvo58rzKDWTcVuvsT8sFgOFLn2qF2JATQ8Aztx9zBebQrgTl4qpgYJ+NdwZWMujwD6LqX/fYkS9IlR0z15A3dnSSHPMxEBBETuT7A21GoWuDnfiUgvs2uLtIoUIIYRGUmQYd/5eRs0fd2NoaU9y9A30jLPfSlMYmeI7ZA5mLl7EXzvFicmfYONdCQuP7AW50uKi0dHVo+HcC1zfFETw7CE4V2lK/aATRB7ZyMXFX2gKEQB3D6zC74uVmNi7c/7X4Vxe+jUVBs/Olen8vACM7dyoP/MkGQmxHP+xE2YuXjhWqM/l38dRtNkA3Gq0IzP5MSkxd/O8r8gjG7i4eOxT77vxgtB8f1aJEaFYuD9ZjEzPyARTRw8SI0I1RYjbu5dydcX3KNNTMHHwwKVa63xfRwghhBDvjmt3olm4eT+HfxuHg40F18PvY26a/ce2mbEhC7/ui4+HMycu3aDN6Bn4lfKkjGchACJj4tFTKLixYTo///EXfX74jZa1KnJx5STW/n2CEdOXawoRAH9sP8zGKSPwcLZj0OTFjJ65kgVf982VacBPiyjkaMulVZN5+CiRliOn4+3hTCP/snwxazVDOzWiU0N/HiWmcOfewzzva83fJxg544+n3nf4X09/+PX1vLV8NXct3u5OfNu3LdXLeedqc/RCGDHxibSqVfGp/QghhBDvirAHySw9EcGuoVWwNzPgxsMUzA2zH8GaGiqY/XEpvOxNOXX3MZ0XBVPJw5JSztnPXqIT0lHo6nD+q5oE7bvN4NWXaVbKgeOfV2Pj+XuM3RSqKUQArDoTzYqe5XG3MWbEuit8s/UaszqVypUpYO0V3KyMODG6OrHJmXy84Cxe9qbUL27Ht39eY2BND9pWcOJxaiZ349PyvK8N5+7x5eanPz8J+bZ2rn1KlZoLkQl8VMKOaj8fJV2poklJe75u4omR/pPpwypPPsK9hHRUajVffFTsxT5o8c6RQoQQQkNHoYcqK52kyDAMzG0wc/HUHLMrWU3zs01xP+zK1CYu9KSmEKGrb0ix5oPQ0dXF2b8F19ZPxbNVALp6BrhUbcn5X4eTkRCLgYUtAIVqdcSiUHEAfDqO4cDoupQfmHPoaPrjGGIuHqTRghAU+oYY27nhXq8r0Se24lihProKPVLu3yYjKR4DM2ssTcvkeV+u1dviWj1/c2A+jzI9BUMrhxz79EwsyEpL0mwXbtgdjwafkhh+leiT29AzkjkOhRBCiPeZQqFLemYWoXejsbU0w8vdSXOsZoXimp+rlvWiXqVSHLsYpilEGBnoE/BxI3R1dWlbtxI/LdnCqK5NMdDXo229ygycvJjYR4maqYu6NK5GyaKuAHzduzX+Pb/l17G9c+R5EPeYfaevEP7nTAwN9CnkaEvP5rXYtP80jfzLoq+n4GbkA+ISkrCxMMPK3D3P++rYwI+ODfI/RcL4/u0pXtgFAz0F6/aepOPYmRxd+B0eznY52q3YeZRWtStiZmL0lJ6EEEKId4eerg4ZWSrCHiRjY6KPp72p5li1ok9mgvArbEVtL1tO3n6kKUQY6ukyqKYHuro6tCzryLQ9txhWtzAGerq0LOvIiHVXiU3OwNbUAICOvs4Ud8p+1jC6YTHqBR0nqEPO9UpiEtM5FBbH1W9rY6ini5uVgi5VXNl66QH1i9uhp9DhVmwK8SmZWJvoU8Y494gKgLblnWhb3inPY08Tk5RBplLNX5cesLF/RfQUOvT8/QK/7L/D5w2LatqdGlOdlAwl64Ojc4yYEO8XKUQIITRMnYpQssu3hKz+ieR7N3Gq2IiS3cajb2JBXOhJQlb/SGLENdTKLJQZaVh6lNaca2Bug46uLgAKg+y5Iw0t7XJsZ6WnYEB2IcLYzlVzrrGdG2plJhmJcTnypMREoMpKZ/fAspp9apUSG5/sP4TL9p1G6Nop7BtRDTNXL0p8/BU2xd/MPIIKQxOyUpNy7MtKTcxVbNDR0cHCvSQxFw4Quu5nSnUb/0byCSGEEOLNK+bmyMRBHRn/2wauR9ynWfXy/DS4E5ZmJhy/GMZ3v23g6u0olEoVqekZmiIEgK2lGbr/fJcyMsh+uGBvbQGAsWH2dlJquqYQ4eZgqznX3dGWzCwlsY8Tc+S5ez+W9MwsPNt8ptmnVKmoWtYLgFmfd+eHRZso3+VLfDyc+b5fe82xglC55JMHDF0aV2fdnpPsPnlRMyUVQEpaOpv2n2blxCEFdl0hhHiXlBq9TtsRRAErYmfCt029mLTzBjcfpvBRSXvGN/fGwkiPk7cf8dPOG1y7n0SWSk1alopSzk+eI9iY6KOrqwOAkX729wI7s+zvAcb/jCBIyVBi+09tw9XKUHOum7URmUo1cckZOfJEPEojXami3MRDmn1KlRq/wlYATG1bgp9336T61KN4OpjyVWNPzbFX9e899KpaCEeL7Kz9a7gza//tHIUIyJ6mqWsVV8pOPMS+4f6a+xbvDylECCFycKvZAbeaHchIiOXsLwO58eccinf8guA5QyjWbCCF6nZGoW/Iqek9UavVL32d1IeROX7WUehjYG5DamyUZr+xrTMKA2Mazb+qKXL8l5mLJxUD5qNSZnHn72WcnTWQBrPO5moXcXg9FxeOfmqWJotv5Du/uZsPkUc2aLaz0lJIvn8bczefPNurVUpZI0IIIYT4AHzyUVU++agqsY8S6fn9fIJW7WRcnzb0nbiQoZ0+onuzmhga6NP569mv9F0q4kGs5ufwB3Ho6ymwtTQn4sGTFztc7W0wMTTgztYgTZHjv7zcnVj63QCyspQs3HKAnt/PJ2Rd7rnHV+8+zvBpvz81S/SO3NNr5kVHR4f/v+Wth4KxNjelZvm8v0MJIYQQ76L2vs6093UmNjmDgSsvMffgHcZ8VIyhay4zoKY7nStXwFBPl16/X+Dlvw1A5KP0//ychr5CBxtTA6IeP5leydnSCGN9BVe+qaUpcvyXp70pv3YuQ5ZSxbITkQxaeYkzY2vkarch+B6jN4U8Ncv18XVy7bMy1sfZ0hCd/1w2d4In1OrsQkvU4zQpRLyHpBAhhNBIirpO2qMH2HhXQmFojK6+ATq62RV3ZVoy+mZW6OoZ8PDSIR5ePJBjjYT8iji0FtfqbTGxL8S1tVNw9muuuda/jKydsC1Zjasrf8C73UgUBsYkRYWhzEjFqmh5Ig6vx6FcXQzMbdAzNsuzWAHgVqMdbjXa5TujSpmFWpmFWqVErcoeBaKj0ENXoYdT5SZcXfkD0ae24VCuHmEbp2NZuIxmfYg7e//AuXJT9M2seXzrArd3LaZos/75/6CEEEII8c4Iu3uPe7GP8CvtibGRAQYGeigU2d9PklLTsLYwxUBfj/1nrrL39GVKF3N76Wut2HGMjg38cXey5YeFm2hVu6LmWv9ytrOiRnkfxv26ni+6t8DEyIBrd++RkpaBb/HCrN59nAZVSmNraYaZiSEKRd6PBjo19KdTQ/985XuUmMLpqzepUc4HPYUu6/ed4tiFMH4e9knO+9h5lI8bVUVH51mPJYQQ4u0Wvnka6Q/D8ewdqO0oABzr7YqugTGuTQfj1mLEa73WlWmfkHDtBObFfGV0xz+uxyTzIDGDSu6WGOsrMNTTRfef33PJGUqsjPUxUOhw6HocB8JiKen88tM4rz0bTdvyjrhZGzNl9w2alXZA8X/FBicLQ6oVseKHHdcZWb8IxvoKrsckk5qpopybBRuC71HH2xYbU33MDPXyLFYAtK3gRNsK+ZuaCaBTRWcWHQ2nrrctegod5h+5S4Pi2TNonLgVj75Cl7Ku5qRnqZi65xbmRnp4O5g+p1fxLpJChBBCQ5WVwdUVE0iKCkNXzwD70rUo1mwgAKV7/sSVP77j4sLROJRvgEOFhq90LbdaHTk3bzjJ0dexLVGNcv1n5Nmu/MBfuLpyAvtG1kCZnoKZczF8On4BQMz5vVz5fRzKzHRMnYpQfuDTF0p8GWEbAwnbME2zfX1TEF5tR+LTfhSGFnZUDPiNS0u+JHjWYKy9fPEdMkfT9uHFg4Su/gllRhqGVg641+tCkUZ9CjSfEEIIId4u6ZmZfPPrOq7diUZfX4+6FUsyrFMjAKYN78KXs9cwfNrvfORflsZVyz6nt2fr3LgaAyYtIuzuPWqU92HOmJ55tpv/VW/GzVtHxU+/JiU1HU93J8b1bgPA7hMX+WLWKtIzMinm5sj8Lwvuu0qWUsmEhZsIuxuNQlcXbw9nVk4cQjE3R02bqJh4Dp4NYfrwLgV2XSGEENnKTdiHkd2TKQAfXznEzeVfkREXiVlRXzx7BWJo6/qMHnIL3zKDiM1TKfn5WiyLZ68jWXLkSh4cXk3M0bUFmv9dlpGl4oft1wl7kIyBQoeaXjYMrJW9DtOPLX0Y/1cYYzaFUN/HTvNA/mV1rOjM8HVXuR6TTNWi1sxoVzLPdjM7leKH7depOf04KRlKitmZMKZR9qLQe6/FMu6va6RnqihiZ8IvHfPu42WNqFeE+ORMakw7hqGeLi3LOjCkTmEAUjNVfLE5lPD4NAz1dCnnas4fPcrnWMhavD901K8yHlgI8VoEBwfj6+tLzYk7sSzyan+kvo2OTmhLoVqdKFS7k7ajfBBOTv6EWl52rF0rXwyFEEK8n5ydHOnTrBqjP22u7ShvRNOAKXRpXJ0uTaprO8p7JyE5FbdmQ1mzZg0dOnTQdhwhPggdOnRgT8hDio9Yru0oL+1tHBFRYfJxTSEiMzGO4LHVKdZjKtbl6nN3488k3ThD6bGbXrjPtAe3CZnVm6ykeLz6zdIUIgBNIULbIyLuH1zJzaWjOPiZf44Fot9X7eafoWNFZzpVdNF2lPfS8lORfL4h5JWm0hQ55T2PiRBCCCGEEEIIIYQQH4jIbbO5Nm9gjn3XFw4nfPP07ON//cLZMf6cGOTN+e8+IuHaiTz7eRxylLOj/XLsOzvaj8chRwFQq1REbA3k7Bh/TgWU4caSUSjTU1/DHT0Rd3YbJm4lsK3UDF19Iwq1GknSnYuk3r/1wn3cXP4VHu2/RFdP/zUmFUK8z2RqJiGEEEIIIYQQQgjxQbOr0oqIP4NQpqegMDRBlZlGXPAOynyzDQAjxyKU/nIL+ua23NuzmGvzBuI7+Ri6+ob5uk707t94dPkApcduRmFswfUFw4jYMg2PDl/nahtzfCO3/vjyqX1VmXX1ha6ZEnkN00JPpttRGJpgZO9BatQ1jB2LPPf82FNb0dUzwLpsfV68dCGEEDlJIUII8cZV+2aDtiMIIYQQQryztgWN1nYEIYR47xjauWFaqATx53Zh59ea+At7MXIogrFjUQBsKz2Z/s+5YR/Ct0wn7cFtTFx98nWdB4dWULTbZAysstfMcW02hGtz++dZiLD3b4O9f5tXuKtsyvRkDCwdcuzTMzFHmZb0/HNTk7i7YRIlRq565RyiYK3vV1HbEYTIFylECCGEEEIIIYQQQogPnm2V1jw8uRk7v9bEntyMnV8rzbEHh1YRtWs+GfFRgA7KtEQyk+LyfY302AhCZnYHnX9nS1ejVikL5gaeQmFomqvokJWahMLI7Lnnhm+Zhl3V9jkWvhZCiJchhQghRIEIXTeV1IfhlB8QpO0oAPzZ2RmFoTHFWgzBu+1nWsuhVinZ0dsbVVYGnq0C8Gk/SmtZhBBCCKE9Py7ezN17scwb20vbUQCwqNMHEyMDRnRuwphPW2g7zlNNXraVGSu2k5KWQcL+BdqOI4R4z9lWas7ddRNJj4sk/uJePDp9C0Daw3BuLv+KUp+vwaxIBXR0dTk5tCTksYitwtAEZcaTNR/UKiWZibGabQNrZzz7zMS8qO9z88Qc38DNZWOeetxvTtgL3ZeJqzcxxzdqtpXpKaTH3MbYxfu55z6+epiM+Gju71sKQGZiLKGz+1Ko5XCcG/Z9oeuLZ5v6900i4tMI7FDy+Y3fAJexezDW12VI7cKMqP/8qbteF6VKjc/4A2RkqRhWtzCjGhTVWhZRMKQQIYR4b9WecgAT+ydvbdzdt5zrW2aR/ugBNj5VKNd/BkbWTi/U1/0zuwhZ/SMpMeFYuJekbN+pmLvlHoJ7bGIHYi8fpvmKaAB0dBU0WXyDc/MCCuamhBBCCCEKyInF3+PhbAdA5IM4un07j+sR90AN5bzd+XlYZ4oXdgHgUWIKw6f/zv4z2fORN/QrzfQRXTE3MXrudTbsO8Uva3Zx8Xo47etVyVWM2X70HN/N38Dde7GUKubGrM+7a6475tMWfNywKmU++aIgb10IIfJkYGmPuWdlbiz6DFOPshjaZP+3SJWego4O6JvbglpF5La5KFMT8+zDyLEoqvQUHl3aj0Xx6kT+9QuqrAzNccdaXQnfOIViPadjaONCRvw9UiJDsCpdJ1df9v5tsfdv+8r3ZePbhDtrJxJ7djvWZeoSsWUGpu5lNOtDhG+eRkLoMUqNXpfr3JKjVqNWZmm2L05oSuFPvs8zr3h/7B/hTyFrY812SoaSCdvC2HLxAVlKFSWdzdnYP3tqKLVazcQdN1h5KhKALlVcGduoGDo6Os+9zqrTUfyy/zYPkzIwNlDQsowj45p6oqfQRaGrw/XxdRi+9spruUfx5uk+v4kQQrz7Hl45SsjqSVQeuYRGv13FxN6ds78MfKFzk6JvEjxnMGV6TabRglAcfRtyaloPVP/5MgYQcXg9amXm64gvhBBCCPFaWZmb8ttXvbmzJYhbmwNpXsOXPj/8pjk+cfEm4hOTubDyJ86v+JH7sY+ZsmzrC/VtbW7K8I8b82mzmrmOXY+4T58fFhD4WTfC/5xJk2rl6PTlL2Rlvd5pSoQQ4mns/Frz+OrhHNMymbj64FSvFxe+b8KZUZVQq5WaIsX/0zOxoEiXiVxfNIIzoyqiMDTB0NpZc9z5o75YlqzF5Z87cHKwD5endiQ1+vprvSd9c1u8B/3K3fU/cXJoKZJuBePVb7bmeEZ8NOaelfI+18wGA0sHzT86ugr0TK1QGJq81szi7TJ6YwiPUrM4+Jk/V8bVZnxzL82xP05Gsjskhr8D/Pg7wI+dV2NYcTrqhfqtUcyaPwdVJvS7Ouwb7k/I/SSWHI94XbchtExGRAghNK5vmUXC7Uv4Dpun2XduXgAm9u54txvJ9c0zubP3DzIS4zB1LEKp7hOwLe6fq5+HV45yfl4A9Wee0uzbM6wy5QYEYVeyGmqViuubg7i7fyXKtGQcKzamdPcJr/WLzIPg3bhUbaUZxeDVdgR/D65A8v3bmDoWfua5MRf2Y1uiGjbF/QAo1mII1zbMIO7qMexKZ/9BnZmSQNiG6ZQfOJMj3zZ/VndCCCGEeEfNWLGd82F3WfJtf82+AT8twsPZjrE9WjJt+TaWbD1I7ONEiro6MGXYJ1Qrm3vai0PBIQyctJhLqydr9pXuNIa5X/SkZoXiqFQqpv6xjd+3HSYpNY1m1cszZdgnmBgZvrZ7MzU2pJib4z9bahQKHW5FxWiO34l+SPMaFbAwzX47snnNCuw6cfGF+q5bKXuqics3I7ibmp7j2J6Tl6lR3oeqZbMfaIz4pDGTl27l8Plr1KlY4hXvSggh8s+hRiccanTKtd+jw1d4dPhKs+3WbJjm50KtRj6zD5fGAzQ/6+gqcG0yCNcmgwoydg46eoZc+K4hLo0H4tY8e3S+VclaVJh4MM/2yXcvUeKzFS/Ut++UEzm2r87oSkLYScyLfdgLJ886cJtLUYnM+6SMZt/wtVcoZG3EyAZF+WX/bf44GUlcciaFbY35oYU3fkWsc/Vz9GY8w9de4eSY6pp9VSYfIbBDSaoVtUalUjNz/21Wno4iOUNJoxL2TGjhjYmB4rXdW9iDZHZdjeHMFzUwN8p+lFzW1UJzfM3Zewyo6YGzZfYoyf41PFh9JooulV2f27fbf0ZdAOjo6HA7NvUprcW7TgoRQggNl6qtCNsUSFZaCnpGJigz0rh3ajs1ftgBgIlTUaqP/xNDC1tu7VzE2ZkDqBd0AoV+/v4ovrV9PjEX9lP9u63om5gTPGcooeunUbLzN7naRh7ZwMXFY5/aV+MFoS9+4f/M36n+5+fE8JDnFiL+2/6fLUBNQniIphARsvonPBp8iqGVw4vnEUIIIcQ7pV29Kvz8+58kp6ZjamxIWnomfx4OZv+vXwNQzNWBv2ePxc7KnF837qXH+F+5uHIShgb6+brOnHV/s+fUZXbP/gILU2P6/biQn5ZsYcKADrnarvn7BCNn/PHUvsL/+iVf1y7VaTRRMY9QqdWM69NGs79P67r8umEP7etXAWDLwbM0r1khX30/jTrHd7Ts7Su3IqUQIYQQL8n/15v5al923I6XvlaJEU//HfQhaV3WkaC9t0nJUGJioCAtU8n2yw/YPiT792YRW2O2DqyErakBi4+FM2DlJY6Pro6hXv4mq/ntSDj7w2LZMqAS5kZ6DFtzmWl7bvJNE69cbTecu8eXm5/+zCTk29ovdM1zEQm4WRkx9e+brAu+h6O5AZ83LEqTUtnPP67dT6KU85OFz0s5m3HtfvIL39PfIQ8ZtOoSSelKbE31Gd8s972I94MUIoQQGib2hbBwL8n9sztxrdaGB+f2YOpUBDPn7AWBXPyevOlftElfwtZPI+X+7TzXSniWu/uWU6b3FIyss9+682w1lDNB/fIsRLhWb4tr9VefE9O+bF2CZw3EvV4XTJ2KELZhOujo5FhE7Knnlq5JyKqJPLxyFBvvSlzfMgtVVgaqf859dPMc8ddOUerTCaTFRb9yViGEEEK8ndydbClVzI1tR8/Rob4fu05coJirA57/jCRoXefJtBaD2jdg0pIt3Ix8QIkiz38j8L+W/HmQoJGf4mRrBcBnnZvS/bt5eRYiOjbwo2MDv5e/qf9zefUUUtLSWbXrOC72T97ULFOsEJmZSoq0Go5aDfUrl6Jvq7qvfL26FUvw3fz1HAoOwa+0JzNWbicjS0lqesbzTxZCCCHeEm7WxpRwNmPnlRjalHdib2gsRexMKGqXPfND8zKOmrZ9qrsz7e9b3I5NwcfR7Gld5mn5qUimtCmOo0X2C6FD6xSm34qLeRYi2pZ3om35F1sX81miH6cTcj+ZpqUdCB5bgzN3H/Pp0vPsGGJGMXsTkjOUmBs+ecRsbqRHUsaLT7HYoLgd176rw+3YFNacjcbGNH8vcIh3hxQihBA5uFRtTdSxzbhWa0PUsc24VHvyJtzd/Su5te1XUmOjQEeHrNREMhJj832NlIcRnJr6Kej8U/lXq1GrXu88wPZlauHdbhSnZ/QhKzWRok36omdkhpGN83PPNXP1otyAIC4v+ZK0Rw9wrd4Wc1dvjGycUatUXFw0llKffo+uQv6TKoQQQrzv2tfzY/3eU3Son/1//x0hAPD7tsPMWrOLyJh4dICElDRiHyfl+xrh9+PoOHYmuv8s8qgGlEpVAd3B85kYGdKzRS2KtfmME4vHY29tQffv5lHWy51VPw4hI1PJ0J+X8tXcNUwa8vErXcvbw5m5X/RkVNAK7scl0LGhH8U9nHMUQYQQQoh3Qeuyjmy+cJ825Z3YfOE+rcs9KT6sPB3F/MN3iXqUho6ODonpWcQl53+NyYhHaXy69PyT7whqNUr1c056RUb6uugrdBhetzB6Cl2qFrWmalFrDl6PpZi9CaYGChLTn6yhmZSehdlLTBVV2NaEkk5mjN0cysKuZQvyFsRbQp6aCSFycPFvQciqH0iNjeTBuT2U7PodACkx4Vxa/CVVv16HVbEK6OjqsrNPcdR5/MLTMzTJMdJArVLmKFgY27hQftAvWHv6PjdPxOH1XFw4+qnHmyy+8cL3VvijnhT+qCcASdE3CNsUiLlb8Rc618WvuWZESGbyY/7evxKrouXJSk3k8a3znJ2ZPefnvwWV3QPLUmnkUqw9C2bKAiGEEEK8HdrUqci389cR8SCOXccv8uOgjkD2GgojA5fz54xRVCpRBF1dXdybD/u/6R2zmRgbkvKfN/6VShUPHydqtl3srZn/ZW8qlyz63Dyrdx9n+LTfn3o8esfspx57FrVaTUpaOpEx8dhbW3DxejhBI7thYmSIiRF0blyNb+evf6m+/1/rOpU0o0keJabw+1+HqehTuED6FkIIId6UFmUcmLjjOpGP0tgTGsu3/0wxFB6fylebQ1nb15cKbhbo6upQYvwB8qofmOgrSM188qKmUqUmNvnJdwYXC0NmdiyFr7vlc/NsCL7H6E0hTz1+fXydF7qvEk65R238UwcBwNvRjCvRSZp1Iy5HJ+HtaPpCff8/pRpZI+I9JoUIIUQOhpb2WHtX5vy8EVgWKYuxrQsAyvQU0AEDC1vUahU3tswhMzUxzz5MnYuiTE/hwfl92JWqwfXNM1FlPvnF6V6vK6FrJlOu/wyMbV1Ii79Hwt2rOJTLPbzfrUY73Gq0e+X7UmakkfzPNFJpsZFcWPA5RRr1wcDMCoDwA6u5tn5qjgW2/+vRzfNYFi5NRlI8lxZ/iWPFRpi5eqFWq2kw+5ymXVpsFIe/aULNn/7GwEze5BNCCCHeNw42lviV9mTQpMWU9/HA1cEGgJS0dHR0dLCzMkelUhO0ajsJKXn/Ie3p5khKWjp/n7xEbd/iTP1jG+kZT94k7Nm8Fj8s3MicMT1xdbAh+uEjLt+MoEGV0rn66tTQn04N/V/5vo5euIa+nh4VvD1Iy8jkpyVbMDcxprhH9nfBCj4eLP3rEOP7tSMjS8mqXccoVdRNc75FnT78NWMUNSvkfslDqVSRmaUkS6lCqVKRlp6JQqGDvl72n6PBobcp6+lOfGIyIwOX06R6Obw9nj9qVQjxYXpweDUxR9dSavQ6bUcRIgd7c0Mqe1gxYt0Vyrqa4/LP4s0pGUrQAVtTfVRqNXMO3MkxguC/itqbkJKhZP+1WKoXs2bmvttk/GfIQ5cqrkzefZMZ7UvgYmnEvYR0Qu4lUcfbNldfbSs40bbCq0/N5F/ECldLI37Zf4ehdTw4G57AsZvxfNs0u9DSwdeJeYfuajL8eugufWsU0pxfZfIRRjYoQqeKLrn6Xns2mpqeNjhZGHIjJoVf9t+melF5lvK+kkKEECIX16ptOD9/BGV6TdLsM3fzoUij3hz6qhEKfUMKN+qtKVL8P30TC0r3+Inzvw5HrVJSrPngHFMgFW3aD7VaxbEf2pGR8BBDK0c8GnTPsxBRUFSZ6QTPGkTKg9voGZtTqPbH+HR4MtIiLS4Ka+/KTz3/8rJvSLh7BV09A1z8WlCiy7cA6OjoYPSfBapVmekAOfYJIYQQ4v3SoX4VBk1ewowRXTX7ShRxpX/betTuNwFDA30GtKuPm71NnudbmpkwLaALAyctRqlSMfzjxrj+ZyqiwR0aolKraDr8Zx4+SsTJ1orererkWYgoKClpGXw15w/u3ovF0ECfCj4erJ8cgJFh9jzNs8f0ZFTQcrzajURHR4ca5byZPvQTACIfxGFuYkTJ/xQm/mvVrmMMnLxYs71693E6N6rGvLG9ABjzyyou3QhHX1+PtnUq8cPAjq/tPoUQ4k2Jv7iXyD9nkhx+GYWhCcYuPrg2HYJVqVqEb55G5F8z0dEzQEdXD2MXLwp3HIe5Z/bosMchR7kytSO6BsY5+izz9TZMXLxICDvJnbU/kBp1DXQUmLh4Uvjj8Ty6cpDIv34BQK1UolZmomuQ/TDc0NaN8hP2cay3a3a//3mlvXCnb3Gs3ZXrC4fz8MQmdPQMADBy8MC2YlOcGw1A8X9ZXvReAVIiQrizbiKJYScBMPeqgnv7LzF1KwE8vbh0drQfxXrNwLJ4Nc2+O+t/ImrbLMpN2IeJi3f+/4d5zVqXc+Sz9VeZ1PrJWpo+jmb0qlqIxrNOYainS+9qhTRFiv9nYaTHj618GL7uCkqVmkG1PHD+Zz0IgH413FGpof38szxMzsDRwpDufq55FiIKir5Cl8WflmXU+qvMOnAbN2sjfulYSrP+RbcqrtyJS6Ve4HEgu1jSuVL286JMpYr4lEx8C+U9guNSVCITd1wnMS0LG1MDmpWyZ0yjYq/tXoR26ajzGisshNCq4OBgfH19qTlxJ5ZFZF68l7Gte2F09Qwo1mIQXq2HP7f9icmdKdn1O8xdC/aLjFqlZGe/kqiVmXi2HIpXmxEF2v+LODn5E2p52bF27do3fm0hhBDiTXB2cqRPs2qM/rS5tqO8M+wbDsDQQJ+AjxvxebdX+9zW7jnB5RsRfNfv1Uex/r+ff/+ToFU7Sc/IJGb3vALv//8lJKfi1mwoa9asoUOH3IuDCyEKXocOHdgT8pDiI5a/UPt3YUTEw5Obubl0NIU/+R6bik1RGJrw+OoR4s/tokiXHwjfPI30h+F49g5ErcwifPP/2LvruKrOP4DjH7h0dyMiEmK32D27a+acburs1t+MbXbnpnNOZ8zu7u5uMUEEQRSUznvv7w8UZYA13BX9vl8vX+Oe85xzvs8ZnHvv831iKk9OrKXk1PNAWiLi3qL+lJh8OtO5UxNiuDCkLPnaT8C6dANUqcnE3D6Drrktxq6+6eWyu08nuzhTfNIpDGxc/3lq7v7ZD30bV1wbD0SZlEDcgysErhyFtr4xBYesQ0tb+73rmvA4gKtj6uFY+3sca6YloEP3/kno3j8oPHIHhvbu75yIUKtUXBhSBlVyAnaV2+HW4n8Zyj8+spL7SwZxZEA58tt+2NRAAtxHHkRPocUPVdzoW839X53r3IMo/jzxkHlfv39nCqVKTcExR0hRquhdNS/9qv+7WN7X32dDGLzBP8tpNsWHkRERQojPUr0lge9VvuzQFR8lDi1tBXUW3voo5xZCCCGE+FA52ajfskZZWtYom2Pne93gDg3+daJECJE7JUWGELBiVHovervKbXFrPjxTuYAVI4k4vwNVYixGLgXI12EiRi/WAnx2eS+Ba8aQ/CwMXRNLXJsNxbZcMxLC7nHvr0HEB99ES0cP23JNydvm5xyJW61W82DNGFwa9ceuYuv07RYFK6ePEHidlkIHm3LNCNk+h5SYCHRN39yzPfHxfbS0tbEp2xgAhZ4hFoWq5Ejsr1PoG2LmVRbv3ou49GMVnl3Zh1Wx2hnKvEtdg7dMx8y7HK6NXnXKc208gNjASwRvmY7nd3PeOaYo/2MoE2Nxaz2a4M3TyNNsWJbJEfHvBIzJudkqSrmZU8rt7etZZEWhrYX/6Jz/3RaaI4kIIYQQQgghhBBCCPHJUKuU+M/qhEXh6nh+NxeA+IfXsyxrkq84ro0Hoq1vRND6Cdz9sy9FRu8G4N5fg/H64Q/MPEuTHPWE1NhIAB5umopl4eoUHLoBVXIC8SFZL+gbfecM/rM6ZRtn0Z/3oW/tnGFbYtg9kp+FYlWy/jvVVZWSxJPja9ExsUTH6O0Ntgb2+UCt5u6i/liXbohpvhLoGFu807U+hL6VM8ZuRYi5cyZTIuJd6hp14yh5skggWZesT9CGiVkckb0nJ9ZhVbwONmUaE7hiJFH+x7DwzZzcEUJ8miQRIYQQQgghhBBCCCE+GbH3L5ISE0GeZkPR0lYApK+f8E+25Zql/+zSsD9n9yxAmRSPQt8ILYUOCaF3MHb1Rc/cFj1zWyBtFEJSRDApUeHoWdhjmq9Eluc28yxDmbk33yv2lNhnAOnXys7T05uIvLgbZWIsCkMzvHsuQEvxqpkuKTKEM70KZDimzNyb6BiaUnDYJh7t/JX7SwaTHPUEy8LVyddpyluv+dKV0TVB69VIAp++SzDzLJNteT0Le1Ljoj6orimxkeiaZ15DUdfcLj0x9C6UiXFEXtiJ9w8LUegbYVmsNk9PrpdEhBC5iCQihBBCCCGEEEIIIcQnI+nZI/StndOTEG8Ssn0O4cdXkxL1JL1xPTUmEoW+EV4/LCB4ywwerBmDSb7i5G3zE0ZOXri1HEHQhklc+bk2uub2uDYagFWJOjkSu66JJQDJUU+yXIfhJZuyTcjfZSYpMZHc+u07YgMuY+5TIX2/vpVzlmtEABg5eZK/y0wAEkLvcueP3gSuGo1Xt9/eKcYiP+97Y2z/lPz8MaYezpm2v0tddU0sSYkKz7Q9JSocHRMrIC0xpFamZCqjUqaipdAFIOL8dhT6Rpj7VgTS7t+dBb1wbz8Bhb7RO9dFCKE5MpGaEJ+Bh4dXc2JMs7cXFEIIIYT4wv298zj1+k7WdBhCCCHeQN/SiaSIR6hVqjeWi7p1ktB9f+LdazGl5/qnN9yrSVtc1jRfCQr0W0apGZcwdi3I/SVDgLQe/vm/nU7J6ZdwbTyQ27/3QJkUn+n80bdPc/oHz2z/JUWEZDrGwMEDPUtHIs/veKe66ppa4dFpEsFbZ5D8/PE7HfM6Q8f82FZoRXzIx1mbMCnyEXEPrmCaxYiJd6mrWYGKRF7clWl7xPnt6YkXfStnkiKCMywKrExKIDXmafrUV09OrCM1PprzA0tyrn8x7v01CFVS3Dvf56ysPv+I5gvOf/DxQoj3IyMihBD/mfBL+7mzaRbRD66j0DfC1NWH/I16YVu4CrfWTeXu5llo6+ihpdDB1NkL33ajsfRKG3779MYJTo1rgULPMMM5K47diamzF5H+p7m5ciwxwbfQ0lZg4uxJwQ6/8OTqYe5ung2kzTOqSk1BoWcAgKGNC1WnHGZbW0cU+oaAVvp5fdv/hFuNDlya35eQ4xvR1tUDwNg+Lw6l6+HRoEemWN61rgDRD/25uWIMz26nLbxm6VWGAl+PwCxP2tDbh4dX8/DIasqP3JDhvPv7lKZo91nY+JZP33Zz1TjubZlLlcmHMHXxfu//L0IIIYT4tNTrO5ljl29zdskveLs5pW+v2XMCZ67f4+rKibg52qRv/2nBeqav2MmZv37BJ++r8s9j4vnfb6vZc+oq8YlJ2Ftb0KFuBQa0qweAWdWuGc414a8trNh1gq0zBvIwLIIGA6ZhpK+XIbZDv/+It5sThVoPJfxZNAptbXR1FRTM50Kn+pVoU9sv23qZVe2KkYEeWmihr6dLtVK+zOjfHgvTtJ6siUkpjF20iXX7z/AsJo48Dtb80KImnRu+Wqgyw3V1FJQp5MHMAR1wsbNKv3dnb9xHR6FAodCmkIcL0/q1Q19Pl6rdxrJ37jAKuKc1aqnVaur3m0LVkr4MQgHF3QABAABJREFU6SgLYgvxKTHJVxwdE0sebpqMc/2+QNoaEf+cnkmVGIeWQgddUyvUqUk83Dz11b7UZCLObceyaE0U+sYoDIzgxQiLiHPbMPUohZ6lAwojM0ALtLT4JzOvspT97c57xa6lpYVbq5HcXzoUXVMrrIrXRVvfkOjbp4i8sAv3tmMyHWPokB+LQlV5tGseedv89MbzJ4Te5dmVfViXboS+lRNJkSFEnNmU7fRSH0qZnEDcg2sErhqNsVsRLIvUzFTmXerq2qg/V8c2IHjrDBxqdAEgdO9CYu6cofCI7UDa/28thS6Pds3DsWYX1MpUgjZMxMS9eHodo2+dxHfACgydX33nDd4ygycn12FbvkWO1v1T0nzBeU4GPOdw/3J42hmnb2847xzng6I4PaQ8rpav2ibG77rL3MMPONSvLF72JunboxJS+Gn7HQ7ciiA+WYm9qR6tSznRu2peAJyG789wrmn77rPmQihru5Yg+HkiLRdewFA34wilnT1L42lnTJlJx3kam4y2thZ6Ci18HExoV9qJ5sUds62X0/D9GOpqo6Wlhb6ONpXzWzGxiTfmhmkjYBJTlEzee5/Nlx/zLCEFV0sDvquQh/ZlXo3Mef26utpalHIzZ2ITH5wtDNLv3YWH0Si0tVBoga+jKeMbe6Ovo03duWfY0qMU3i/ukVqtpsUfF6iU34p+1d0/5H+VeAeSiBBC/CcendzMlYWDKNhhDA5l6qNjYMTT68d4fH5PeuO8c4VmFOs+C5UyldvrpnB+9vfUnHsh/RyG1s7UmH0207lT4mM4O7UThb6diFO5hqhSk4n0P422rh6eTfri2STtg2t2jfsAVSYfxsg266Gk+Rv3wbvFIJRJ8TwPuML1pSN5eu0IfiM2oKWdeWDZ2+oaFxbAiZ8bk69eN0r0Shs6G7BrISd+aUKlsbswdnj3Nz21SkXIsQ3omlgSfHQdBb7+8Z2PFUIIIcSny8PFnlV7TjH6u7RRr/eCHxMZHZupnEqlYvXeU1iaGbNy9wl+7vaqMWb4r6tISErh7NIxmBsbcvfhY24EZO69C/DLwg2sP3CWHbMG42pvzcOwCFztrLi2elK2Ma6f1JdKxX14FhPH3tPXGP7rKm4HhTKqa/YjdU8v/gU3Rxui4xLo9NN8Ji3dyoSerQFoP/o3omLj2Tp9IHmdbDh++Q7fjVtIdFwCfdu8mjLl5XUTk1IYMHM5Q+es5O8xPdP3zxzQgXZ1K5CaqmTi0q10n7CIo3+MYmC7evSasoS9c4ehra3Nku1HeR4bT/+2OTMdixAi52hpK/Dp8xeBK0ZwflAptBQK7Cu3zZSIsChcDfMCFbg4rDwKQ1NcmwzOsP/JibUE/P0jqFUYuRQgX4e0xZFjAy4RsGIUysQY9K2c8Px+7hs7mr0vmzKNURiYELJ9NveXDUdb3whjlwI41+uV7TFOdXpwY2prnOv3AdLWiDj9g2eGMt69/sTQ0ZPY+xd5tOcPlPFRKIzMsSxaA7eWI985vssjq2VIvDjV7oZrk0FA2lRXj3b/DqgxsHXDqmR9nOp0z/K777vU1dAhPwWHbiBo3XhCds4DwNSzNAWHrsfQwQMAbV19fPosIXD1zzza9Rta2gpMPcvi2T2t/NOTGzDJWxRz30oZru1YqwuXRlYn6Vko+pbZN3rndvmsDVl3MZThX+UHIOBpPM/is5jKSqVm/aUwLA11WHsxjB/r5E/fN3r7HRJTlBweUA4zfR3uPY3n1uPMnysAJu6+x5Yrj1n/fUlcLAwIfp6Is7kBZ4ZWyLI8wPLOxSifz5LnCSkcuBXBT9tvcyc8nmFfeWR7zKH+5XC1NCQmMZVuK64yY38APzXwAuC7v68SlZjK6q7FcbMy5FTAc3qvuU50Yio/VHbLdN3EFCXDN99i1Lbb/Nm+yKu6NPGmdUknUpUqph8IoO/aG+zpXYbe1fIyaP1NNncvhba2FivOPiIqIZWeVdwyxSlyjiQihMhFEiJCuLZkBM9upfWid63WlgJtMjc8X1sygtAz21EmxmLqWoDCXSZj5uoDwOMLe7nx988kPgtDz8QS71bDcKnYnNjQe1xZMIDooJto6+rhXKEZBTv8kiNxq9Vqbvz9C57NBuJatU36dtvCVdKTEK/TVujgXKEZdzfPJin6KfpmNpnKvC4u7B5oa+NcvgkACj1DbItUzZHYX6fQN8LapxylB/7FoUGVeHxxLw4lv8pQ5l3qenv9VKwL+OHVbED6fq/mA3l+/xK3N0yj+A9z3zmmp9ePkZoQg2/7n7i9fho+rYdn+wFRCCGE+JIEh0cyZPZKTl5N68naqX4lfvq+eaZyg2evYMuRC8TGJ1IwnwszB3TAN19ab7udJy4zYt5aQp8+w8rMhJFdm9K6VjnuPAyj1+QlXL8fjJ6uDq1qlmVirzaZzv1vtKpZlhW7TjCqa1O0tLRYvfcUrWqWY/zizRnKHb7gT0x8IuN/aMWEv7Yw+rtmaL/4LHDBP5Cfvm+OpWlaD0ovN0e83DI31IyYt5YdJy6xc9YQnGwt3ztWS1NjWtUsi4GeDp1/WUDPFrWwtjB94zFmxobUq1CMnScuA3Dw3A2OXPDnysoJOFhbAFC1ZAGm9PmaHhMX802DypibZJwD3EBfl8ZVSvLjb2uyvIaOjoIW1cswe9VuAPq0/oqNh87y+8YDNKtamp//2MCGyf3Q1ZGvxUJ8igxsXPHpsyTTdruKrbGrmJbA1NJWkL/LLOiScf9LvgNWZHlut5YjcGs5ImcD/gfLIjWwLFIjy32ujQdm2maar0T66Atzn/L4LQzO9txePX5/6/Vfv0+v8/sz64Q0QP4uM9PXnngfb6orgLGrLwX6L3/jOYycvbP9/+VcvzfO9Xtn2m7okB+/P4LeGl/I80RGbr3NmQfPAWhbyon/vdZI/9KILbfYcf0JsUmpFHAwYVITH3wc0nrM7735lF923iEsKglLI12G1fagWXEH7j2JZ+CGG9wMjUVPR5tmxRz4+UVjek5pWsyBNRdCGVbbAy0tLdZfCqNZMXum7gvIUO7Y/WfEJqYyur4X0/bfZ3htD7S10xJOl4Oj+d9X+bF4MeLA0844wwiLl37ZcYc9N5+y/vsSOJobvHesFoa6NCvmgIGONj1WXeO7iq5YG+u98RhTAx1qF7Blr/9TAI7cjeT4vWecHFweezN9ACrlt2JsQy/6rbtJ+zLOmBlkfO820FXQoJAdP+/IegSTjkKbJkXsmX8k7felRyU3tl4JZ9HJYBoVsWPCnnus6FwMXYW0p3xM8olLiFxCrVJyZkpH7IpWp0TPXwGIfnAjy7IWHsXxaj4IHQMj/FeN59K83lQevxeAK38MpGS/hVh5lyEp6gnJMZEA3F47BbtiNfAbtQllUgIxwf5ZnjvS/zRnpnbMNs4qE/djaOOSYVvco7skRj7CsUz9d6qrMiWJ4KNr0TWxRNfY4q3ljV/0org0vx9O5Rpikb8keiZvP+5DGVo7Y+5ehMhbZzIlIt6lrk+vHcUniwSSY+n6+K+Z8F6xBB9di0Ppujj5NeH60hE8vX4M28KV3+scQgghxOdGqVTRavhsapUpxMIRXQG4ei/rBp1SBfLxv86NMTbQ56c/1tNtwp8c/WMUAL2nLGH5Lz0oV9iT8MgoIqLSeg6OW7SZ2uUKs2v2EOITk7MdZXDyyh1aDZ+dbZwnFv2Eq711lvvy2FvjYm/FiSt3qFDUizX7TrNxSv9MiYiVe07SoGJxmlcvw5A5Kzl8wZ9qpXwBKO2bj5//2EBkVCxlC+cnv4t9puuMmLcW/weP2DlzCPbW5tnG+i7qli+KSqXmnH8AX5Ur8sayz2Li2HbsImULpn2OO3T+BqUKuKcnIV5qULE4nZMXcPbGfWqWKZRhX3xiEhsOnqVUgXxZXiM5JZXVe09RqkDaaFOFQptfh3Smfv8p7DpxmfZ1K1DcO++HVVYIIUSuoFSp6bTkMtW8rZnbuiAAN0KzHglQwtWcQbXyYaSrYMLue/R50XseYNCGm/zRrjBl8lrwJCaJyBcjEqbsu0cNbxs2fl+ShBQV/mFZn/t04HM6LbmcbZz7+pbFxSLrhn8XSwOcLQw4Hficcu6WbLwUxopvi2dKRKy7EErdgnY0KWrPyK23OHb/GZXzW6XXbcLuu0TGJ1PazYJ8NpkX+P5lxx1uh8ex4fsS2JnqZxvru6hVwAaVGi49jKaGz5s7lz5PSGHXjSeUckv7HHL0biTFXc3SkxAv1fG1JSn1OheCoqjqlfHzU3yyki1XHlPCNevPMsmpKtZfCqO4qxkACm0tprcoQMs/LrDX/ymtSzpSxNnsQ6sr3pEkIoTIJZ7fvUhy9FN8Wg9D68W8li/XT/gnl4qvevt5NhvA/R2/k5oYj46BEVoKXWIf3cHMrSD65rbom9sCoKWjQ/zTYJKeh2NgaY9l/qznl7TyKUudhe+3CFZy7DOA9GtlJ+T4RsLO7SI1IRZdIzNK9luItuLVYyohIoRdXTOugVBn4S10jUwpP3oT97b+ypWFg0l6Ho5dsRoU+W7qW6/50pFh1UHrVea7zKClWPmUzba8gYUDKXHPM21/l7omx0Sib5F5v76lXXpi6F2kJsYRdnYHpfr/iY6BEfYlviLk2DpJRAghhPjinfMP4MmzGEZ1bYbiRc+2lw3e/9S6Vrn0n4d2bMjcNXuJS0jC2FAfXR0Ftx6EUsjDFTsrc+ys0r7c6uooeBgWwePIKBysLSjtm3VDuF8RTx5un/PB9WhTqxyr955CR0eBjYUp7k4ZPz/Exiey9cgFlo/5AWNDfeqWL8aqvSfTExFT+rbl17V7+X3jfnpPXYqrvRVT+raldtnC6ec4cO46nRtWyTIJ8TA8Etd/9EB9U310dXSwNjfheUzmBV9fKt/lJ7S1tIiOT8TT1Z7vfkxLFEVExabf39fp6CiwNjdJTwIBtBo+Bx2FNrEJSdhZmbF1WsaexQNm/s2wuauIT0rGSF+P1RNe1aFwflc61qvExkNnWTU+c+9aIYSmqN9eRIi3yvx7dPFhNE/jkhlW2wPFi9EBLxu8/6lZcYf0n/vXcOf3Y0HEJysx0lOgo9DizpM4CjqaYGuqj+2LhnpdbW2CnyUSHpOMvZk+JfJkfe6yeS3wH515Roh31by4A+svhqGjrY2VsR5uVhmnEotLSmXH9ScsbFcYIz0FtQvYsv5CaHoiYmwjL/449pBFJ4IZvMEfFwsDxjbyorr3qyTB4TuRtC/jnGUSIiQqEZ+fD2fY9qb66Cq0sTLSJSohNdsyNWadRltLi5ikVDxsjPimXFqiKDIuBVvTzKModF6cMzLu1bRUHZdcRkdbi7hkJbYmeqzuUjzDMcM332L0tjskpCgx1FWwpOOrjhIFHU1pU8qJrVfD+avjmztQiJwhiQghcomEyEcY2rikJyHe5O7m2Tw8vJqkqPD0xvXkmAh0DIwo2e8P7myYzo2/f8HSozi+HX7G1MWbAl+P5NaaiRwZXhMDSwe8mg3AoXTdHIldzyRtiH9S1JNs12EAcK7QlGLdZ5EcHcG5mV15fv8SNgVfzUGY3RoRAKbOXhTrPguA2JA7XPytF9eXjqJE73nvFGPliQfeGNs/JT4Pw8KmZKbt71JXXRNLkp4/ybQ96Vk4eqZpHxK0FArUysxv2CplanpyJvTMdhT6RtgUSpsn06l8Ey7+2pNCnSeiY5C5d4MQQgjxpQgJj8TV3jo9CfEm0/7ewfKdxwmPjEL7xXzZEVGxGBvqs/TnHkxaupUR89ZS0jcfE3u2xievE2O6t+CXhRup0PVnHK0tGNapEQ0qFX/Lld5fk6qlGLtoM0qVKkPC5KXNR85jZKhH1RIFAGhZowxdx/7B9H7tMTbUx1Bfj0Ht6zOofX2i4xKYsWInnUbP5/qaSViZpU01sWjU9/SYuBgbCxP6fZ3xs9/b1oj4p5TUVJ5GxaQvPp2VE3/+hJujDYlJKYz/azMths7i8IKRWJmbcD8kPFP51FQlEVGxWJu/WnBzzYTeVCruQ0pqKou2HKHxoOlcWD4OwxcLa0/v1452dSugVKrYdfIyrYbP4eySMTjaWABQIK8TFxxs0ssLITTLxMQEZdxtTYchPgPK+JhM2x5FJeJiYZCehHiTOYcCWX3uEeGxyemfCSLjkjHSM+SPtoWZcSCAMTvuUtzVjJ/re+Jlb8KIuvmZuOceteacxt5UnwE18lG34Lt1iHwfDQvbM2XvfZRqNc2LOWTav/3aE4z0tKn0IvHQpKg9vVZfZ8KLRIqhroI+1fLSp1peYhJTmXs4kO9XXOPs0ApYGqVN1zSvTSH6rbuBtbFeprUS3rZGxD+lKFVExCVjbph90/P+vmVxtTQkMUXJ1H0BtP/rErt6lcHSSJfAiMydGlKVKiLjU7Ay1k3ftrRTUcrnsyRFqWLZ6RDaLLrIsYF+6QtrT2ictkaEUqVmr/9TOi65zOEBfji8GG3hbW/M5WCDTAtxi49DEhFC5BKGVk4kPA1BrVK9cQ2AiJsnCNi1kHIj1mHi5ElqQgy7XxtFYJm/BGWGLEeZksTtdVO4snAwFX7agoGlPUW7zUCtVvP4/G4uzO5G7QU3MzVoR/if4sykdtlev+qUw5mmZjJ2yo+BlRNhZ7aTr373t9ZVz8yaIl2ncPTHr3Cp2AIDy8zTCLyJibMnLpVbE3Rg2Xsd964SIh4RFXAFj/o/ZNr3LnW1KVSJsHM7ca2Scb7O0LPbsfZNe2M3tHYm4WkwarUarRcfgJRJ8SRHP02/v8FH15IaH82+nmkNH2q1CmViHGFnt+NSqWWO1VcIIYTIbZztrAgOj0ClUqWvl5CVY5duMW/dPrbPHIRXHkei4xJwbdAHtTqtR2Vp33ysm9iXpOQUxi3eTJ+pS9kzdxgO1hb8NrQzarWaHccv0enn33mwZRbGhhl7EJ64cpvmQ2Zle/0zS37JdmomAHMTI/wK52f13lP88toi1C+t2nOSqNgEvFukLTCqUquJTUhiy9ELfF3bL0NZM2NDBrarx7S/d/Ag9Gl6IsLHzYlNU/rTYMBUDPT16N4s+zm+32bnicvoKBSU8nF/a1kDfV2+ru3HzJW7iHgeQ5USBZi/fj9hEc8zTM+07dhF9PV0shx1oqujQ/u6FRg8ewU3Ax5Rwidvhv0KhTb1KxZHV0fB6Wt3aVI169HEQgjNqlKlCn8tWUJC2F0MHTLP2y/Eu3p+81imbU7mBoQ8T0SlUqevl5CVk/efsfD4Q9Z9V4L8tkbEJCnx+flw+hiLEnnMWfZNMZJSVUzZe5/BG/3Z3L0U9mb6zGjhi1qtZvfNp3RfcZUbo6pgpJexYft0wDPa/ZX91EyH+pfLdmomADMDHcq4WbDhYhgj6nhm2r/uYijRCamUmJB2D1RqNXHJSnZcC6dFiYzrQ5ka6NCnal7mHHrAw2cJ6YkIL3tjVn5bnFYLL2Cgq02X8u/eWfOf9t58io62FsVc3z7dkYGugpYlHPjtyAMi4pKp6GHJohMPeRydlGF6pl03nqCn0Mpy1ImuQps2pZwYsfU2tx/HUdQl43UV2lrU8bVFV0ebcw+e06Dw+7UziZwhiQghcgmL/MXRM7Xk1tpJeDbpC6StEfHP6ZlSE+PRUuiiZ2qF6kWy4SVVajKhp7dhV7wWOgbGKPSN0kdYPDq9DSuvUhhYOqBrbAZaWmhl8SZt7VOOuovvvVfsWlpa+LYbxZWFg9EztcKhdD0U+oZE3DxF2LmdFOo0NtMxJk75sS1ajXvbfqNgh5/feP7YkDs8vrQfp3KNMLR2IiEihEcnN2GRzfRSH0qZnEBUwFWuLxuFuXsR7IrXzFTmXerq1WwAx0bW4/aG6bjXSZuOIGDnH0T6n6bi2J0AWOQvgZZCh3vbfsO9TlfUylT8V0/AwqN4eh0jbpyg3PBVmLi8SjTd2TCd4KPrJBEhhBDii1bKxx0rMxPGLtrEoPZp6zZdvRecaXqm2IQkdHUUWJubkpScyvjFW9L3Jaeksunweer4FcHEUB9jQ/30ERabDp2jbKH8ONpYYG5ihBZk2bhRvogXobt+/Vd1Gd+zNb1a1c4wIgDSFuM+eukWm6YMoEBep/TtE5duZdXuE3xd249JS7dSq0xhCnm4oFKpmbd+HxYmRni6ZuxJWcQzDxsm96PJoBkY6unSqcH7TfP4PCae/WevMXTOKvq0rv3WhaohbfTEmn2nsbM0w8rchOqlfKlQ1IsOo+fx29DOuDvacuzybQbPXsngDg0yLVQNoFKpWLnnBAZ6urg5Zp5/Wq1Ws/vUVZ7HxOOVJ/Mi3UKIT0PTpk0ZM248/lNbYVulA4aOXu80E4AQAGrUKBNieH55L1HXDmTaX9zVDEsjXSbvvU+fanmBtDUi/jk9U1yyEh2FFlZGuiSlqpi69376vuRUFduuhVPLxwZjPQXGeor0ERbbrj6mlJsFDmb6mBvooKWlhVYW+Y6y7pbc/bnqv6rr6PqedKuUJ8OIAEhbjPvE/Wes/LY43vavFqCesT+AtRfDaFHCkRn7A6jubU0BBxNUajULTzzE3EAHj3+sFVHIyZS/OxejzZ8XMdDVpl1p5/eKMSohhUN3Ihm19TbdK7m9daFqSBs9seFSGLYmelgZ6VLF04py7hZ8t+IqM5r74mZlwMmA54zYept+1d0zLVQNoFKpWXshFAMdbVwtDTPtV6vV7L8VQVRCKvltMy/SLf4bkogQIpfQ0lZQetBSrv31I/t6lURLoSBPtXaZEhF2RathU7ACB/v7oWNohneLwRn2Bx9Zw7XF/0OtVmGWpwCFu0wG4Pm9i1xfMoLUhBgMrZ0o3vNXFHqZH94fysmvMQoDE+5unsXVxcNQ6Bth5upL/sbZz83r0eAHTo1riWfjPkDaGhE7O2dsQCg1YDEmzp48v3shbS2M+Ch0jMyxL16TAm1HvXN8h4dUAV59WshXv3v6vbu7eTb3d8wHtRoj+7w4lqmPR4Me2Y5MeVtdTZzyU370Jm6uHMu9bb8BYOVVmvKjNmLimFY/ha4+ZQYv48ay0dzb+ita2gqsfcpRos/vAIQcW49FvqLp0zK95F6nK4eHVCUhMhRDK/nCLYQQ4sukUGizenxvBs9egU/LwegoFHzToFKmREStMoWoXMKHom2HY2ZsyI/fNs6wf8XuEwya+TcqtZqC+VyYOaA9AOf9AxgyZyUxcYk421ny58jvPto0Py52VrjYWWXavnrvKYp756VqyQIZtv/QvCZlvhnFoyfP0EKLHhMXERweiUKhTaF8Lqyd2AcTo8w9LksVyMeaCb1pMXQWBvp6ONlY8DA8Esc6PTOUWzG2Z/oaFM2HzkKhrY2ujgLffM6M6dEy00iMfyrbeRRaaKFQaFMwnwurxvdKH/25YmxPxvy5kQb9p/IsOg5Xe2uGdWpIl8ZVM5zj5XW1tbXwcLFj+ZgfMiRq+k1fxqBZK9Lun70Vvw79Bt9879eQIoT475ibm3Pk0EEGDxnC5s3ziY/LerFfId6kYKEidB40iKlTp2bYrtDWYkmnovy45TalJh5Doa1Fu9LOmRIR1bysqZjPEr+pJzA10GFwzYwj8dZeCOXHzbdQqdUUcDRhUhMfAC4GRzNy621ikpQ4mevza+uCH22aH2eLtEWr/2nDpTCKOpulT8v0UpcKrlSbeZrQqES0tKDfuhuEPE9ER1uLAg4mLP2mKMb6mZuGi7uas7RTUdr/dRlDHQUO5vqERCWSf/ShDOUWdSiSvgZF+8WX0NbWQldbCx8HE0bWzZ9pJMY/VZ1xCi0tLRRaUMDRhL86Fkn/TPBnhyJM3nOflgsv8Dw+BWdLAwbUcKdj2YwzcLy8rrYWuFsbsbB94QyJmmGbbvHjltsv7p8+05sXwMchY+cO8d/RUr8cdyyE+GRcvHiREiVKUGncbszdZcEc8e+cmfQ1lT1tWLt2raZDEUIIIT4KRwd7utYvz5CODTQdisjlouMScKnfmzVr1tCypYwwFeK/plQqiYqKQqVSaToUkYsYGhpibGzM0aNHqVy5MkcGlJNe7+Jf+/tsCIM3+CNN5zlHRkQIIYQQQgghhBBCCI1TKBRYWWUeBSaEECL3y37lNiGEEEIIIYQQQgghhBBCiH9JEhFCfIIUirT5BFXKVA1HIj4HamVq+u+UEEII8TlSKBSkKpWaDkN8BlJS036P5LOTEELkPi+f3UqVTKUj/r1UpRrtbNYGFR9G7qYQnyAXFxcUCgXRD65pOhSRy6mUqcQ+9Mfd3V3ToQghhBAfTd687ly5+1DTYYjPwJU7QQDy2UkIIXIhNzc3AK4/kgXPxb93PTQGd7c8mg7jsyKJCCE+QVZWVlStVp2ArXOJCb6l6XBELqVMTuDWmokkRD2lefPmmg5HCCGE+GhatGzJntNXWbf/DEqlLHAqPkxweCQ/LdxIPnd3ihUrpulwhBBCvCdnZ2f8ypZh+sEH3HsSr+lwRC6lVqs5eCuCDZef0LxlK02H81nRUsvS30J8koKCgqhctRoPAu5jap8HHUMTQOujXEulUqJUqtDW1kKhkDXsPya1Wk1qaipaWlro6Cj4WP9PUauIfRxESmIckydPZvDgwR/nOkIIIcQnICUlha/btGH9hg1YW5jhYG2BtvbHeY99+V6OGnR0FGjJkP2PKjU1FZVKhY5CgfZHnC4pISmZu0GhWFlasm//fooXL/7RriWEEOLjuXfvHlUrVyL4UShuNqYY6ys+1rfuj0qtVpOSmpr2/peLPmukKpWoVSp0dHVz530HnsYmER6VQLWqVdi6bTvGxsaaDuuzIYkIIT5hCQkJ7Nq1ixMnTpCQkJDj51epVBw5coTr169TsmRJypYti5ZWbnyryF0iIyPZunUrKpWKhg0bYmNjk+PX0NbWxtXVlSZNmuDp6Znj5xdCCCE+NSqVitOnT7Nr1y4iIiI+yjXCwsLYvn07+vr6NGjQAAsLi49yHfGKWq3m2LFjXLlyhWLFilG+fPmP8nlVX1+fYsWK0ahRI8zNzXP8/EIIIf47cXFx7Nixg9OnT5OYmKjpcN6bWq1mzZo1aGtr06JFi1zVThMfH8/y5cvx8fGhcuXKmg7ng5ibm1OzZk0qV64sa0blMElECPGFiomJoXXr1uzZs4f58+fTtWtXTYf0RQkNDaVBgwbcvn2bdevW8dVXX2k6JCGEEEK8wcaNG2nbti0lSpRg8+bNH6UjgcjerFmz6N+/P82bN2fp0qUYGhpqOiQhhBDio1i4cCHfffcdJ06cwM/PT9PhvLcpU6YwfPhwrly5gq+vr6bDEZ8QSUQI8QV69OgRDRo04O7du6xbt47atWtrOqQvUmxsLG3atGHXrl3MmzeP7777TtMhCSGEEOIf1Go1s2bNYsCAAbRo0YIlS5ZII7iGbNq0ibZt21KsWDE2b96Mra2tpkMSQgghclR0dDSenp7UqlWL5cuXazqcD5KUlETBggXx8PBg165duWpEh/i4cs8kY0KIHHH16lXKli1LeHg4R48elSSEBpmYmLBp0ya+//57vv/+e/73v/+hUskCm0IIIcSnQqlU0rdvX/r378+gQYNYtWqVJCE0qEmTJhw6dIh79+7h5+fHnTt3NB2SEEIIkaPGjh1LTEwMEydO1HQoH0xfX59p06axZ88etm/frulwxCdERkQI8QXZt28fzZs3x93dne3bt+Ps7KzpkARpPS2nTZvG4MGD+frrr1m8eDH6+vqaDksIIYT4osXFxdG2bVu2bdvG3Llz6dGjh6ZDEi8EBARQt25dnj59yubNm6lQoYKmQxJCCCH+tTt37lCwYEFGjBjBqFGjNB3Ov6JWq6lVqxZBQUFcu3YNPT09TYckPgEyIkKIL8TixYupW7cufn5+HDlyRJIQnxAtLS0GDRrEmjVr2LBhA7Vq1SIyMlLTYQkhhBBfrLCwMKpWrcr+/fvZsmWLJCE+Me7u7pw4cYJChQpRo0YN1qxZo+mQhBBCiH9t0KBBODo6MmjQIE2H8q9paWkxc+ZM7t27x9y5czUdjvhESCJCiM+cWq1m1KhRfPvtt3Tu3JmtW7diZmam6bBEFlq2bMmBAwe4ceMG5cuX5/79+5oOSQghhPji3Lx5Ez8/P4KDgzly5Aj169fXdEgiC1ZWVuzevZvmzZvTunVrJk+ejAz2F0IIkVvt27ePLVu2MHnyZIyMjDQdTo4oVKgQ3bt355dffiE8PFzT4YhPgEzNJMRnLDk5ma5du7Js2TImTJjA0KFDZZGgXODu3bvUrVuXqKgotm7dStmyZTUdkhBCCPFFOHToEE2bNsXZ2ZkdO3aQJ08eTYck3uJlp5uxY8fSvXt35syZg46OjqbDEkIIId5ZamoqxYoVw9LSkiNHjnxW7TZPnz7F09OTVq1a8fvvv2s6HKFhMiJCiM/Us2fP+Oqrr1i9ejUrVqxg2LBhn9Wb2ecsf/78nDx5Ek9PT6pVq8bGjRs1HZIQQgjx2Vu+fDm1a9emZMmSHD9+XJIQuYSWlhZjxoxh4cKF/PHHHzRu3JjY2FhNhyWEEEK8swULFnDjxg1mzpz52bXb2NjY8NNPP7Fw4UIuX76s6XCEhsmICCE+Q4GBgdSrV4+wsDA2bdpE5cqVNR2S+AAJCQl06tSJdevWMX36dPr166fpkIQQQojPjlqtZty4cYwcOZJOnTqxYMECWVAxl9qzZw8tWrQgf/78bNu2DScnJ02HJIQQQrxRZGQknp6eNG7cmEWLFmk6nI8iJSWFIkWK4ODgwIEDBz67ZIt4dzIiQojPzLlz5yhXrhyJiYmcPHlSkhC5mKGhIatWrWLQoEH079+fvn37olQqNR2WEEII8dlISUmha9eujBw5kp9//pnFixdLEiIXq127NkePHiU8PJxy5cpx7do1TYckhBBCvNHPP/9McnIy48eP13QoH42uri4zZszg0KFDMuPDF05GRAjxGdm6dStt2rShUKFCbN26FTs7O02HJHLIvHnz6NWrFw0bNuTvv//G2NhY0yEJIYQQuVpUVBQtW7bk4MGD/Pnnn3Ts2FHTIYkcEhISQv369QkICGD9+vXUrFlT0yEJIYQQmdy8eZPChQszbtw4hg4dqulwPrr69etz48YNbt68iYGBgabDERogIyKE+EzMnTuXJk2a8NVXX3Hw4EFJQnxmevTowZYtW9i3bx/VqlXj8ePHmg5JCCGEyLUePnxIpUqVOHPmDLt375YkxGfG2dmZI0eO4OfnR926dfnrr780HZIQQgiRyYABA3Bzc/tipmGePn06wcHBzJgxQ9OhCA2RRIQQuZxKpWLgwIH07t2bPn36sHbtWoyMjDQdlvgI6tevz5EjR3j48CHlypXj5s2bmg5JCCGEyHUuXbpEuXLliIqK4vjx41SvXl3TIYmPwMzMjK1bt9K5c2c6d+7M6NGjkckAhBBCfCp27NjBrl27mDp1Kvr6+poO5z/h7e1Nr169GDduHKGhoZoOR2iATM0kRC6WkJBA+/bt2bhxIzNnzqRPnz6aDkn8B4KCgqhXrx4hISFs2rSJKlWqaDokIYQQIlfYuXMnrVq1wsvLi23btuHo6KjpkMRHplarmTRpEsOHD6dDhw4sXLhQ1gERQgihUcnJyRQuXBgXFxf27dv3RS3e/OzZM7y8vGjQoAGLFy/WdDjiPyYjIoTIpcLDw6levTo7d+5k48aNkoT4guTJk4fjx49TsmRJatWqxd9//63pkIQQQohP3oIFC2jYsCFVq1bl8OHDkoT4QmhpaTFs2DBWrFjB6tWrqVOnDs+ePdN0WEIIIb5gv/76K3fv3mXmzJlfVBICwNLSkjFjxvDXX39x9uxZTYcj/mMyIkKIXOj27dvUrVuX2NhYtm3bRunSpTUdktCA5ORkunXrxl9//cWYMWP48ccfv7gPMUIIIcTbqFQq/ve//zFp0iR++OEHZs2ahY6OjqbDEhpw9OhRGjdujIODAzt27CBv3ryaDkkIIcQX5smTJ3h6evL1118zb948TYejEampqZQoUQJTU1OOHTsm7RhfEBkRIUQuc/ToUfz8/NDT0+PUqVOShPiC6enpsWjRIn7++WdGjhxJ165dSUlJ0XRYQgghxCcjMTGRtm3bMmnSJKZOncrcuXMlCfEFq1SpEidPniQxMZFy5cpx7tw5TYckhBDiCzNq1CgAfvnlFw1Hojk6OjrMnDmTEydOsGrVKk2HI/5DMiJCiFxk9erVdOzYET8/PzZu3IilpaWmQxKfiKVLl9K1a1eqVq3KunXrMDMz03RIQgghhEZFRETQpEkTzp07x7Jly2jRooWmQxKfiPDwcBo1asTVq1dZtWoVDRs21HRIQgghvgBXrlyhePHiTJs2jX79+mk6HI1r2rQp586d49atWxgZGWk6HPEfkBERQuQCLxfZa9OmDS1btmT37t2ShBAZdOzYkV27dnHmzBkqVqzIw4cPNR2SEEIIoTH37t3Dz88Pf39/Dhw4IEkIkYGdnR0HDhzgq6++okmTJvz666+aDkkIIcRnTq1W069fPzw9PenZs6emw/kkTJ06lfDwcCZPnqzpUMR/RBIRQnziUlNT6d69O8OGDWPEiBEsW7YMfX19TYclPkHVq1fn+PHjREVFUa5cOS5duqTpkIQQQoj/3KlTpyhXrhwAJ0+exM/PT8MRiU+RkZERa9eupW/fvvTq1YuBAweiUqk0HZYQQojP1KZNmzh48CDTp09HV1dX0+F8Ejw8POjfvz+TJ0+WzpRfCJmaSYhPWExMDK1atWLfvn38/vvvfPvtt5oOSeQCYWFhNGjQgFu3brFmzRrq1q2r6ZCEEEKI/8T69etp3749JUuWZNOmTdjY2Gg6JJELzJkzh759+9KsWTOWLVuGoaGhpkMSQgjxGUlKSsLX1xcvLy927typ6XA+KTExMXh6elK9enVWrFih6XDERyYjIoT4RIWEhFC5cmWOHz/O9u3bJQkh3pmDgwOHDh2iatWqNGzYkAULFmg6JCGEEOKjUqvVTJ8+nZYtW9KoUSP27dsnSQjxznr37s3GjRvZsWMH1atX58mTJ5oOSQghxGdk5syZBAUFMX36dE2H8skxNTVl/PjxrFy5kuPHj2s6HPGRyYgIIT5BV69epV69egDs2LGDwoULazgikRsplUr69u3Lr7/+yrBhwxg3bhza2pJ/FkII8XlRKpX069ePuXPnMmTIECZMmCDvd+KDnD17lgYNGmBqasqOHTvw8vLSdEhCCCFyudDQULy8vOjSpQszZ87UdDifJJVKRenSpdHS0uLMmTPyOe4zJv9nhfjE7N27lwoVKmBjY8OpU6ckCSE+mEKhYM6cOUybNo1JkybRrl07EhMTNR2WEEIIkWPi4uJo2rQpv/32G/PmzWPSpEny5VV8sNKlS3Pq1Cn09PTw8/Pj2LFjmg5JCCFELvfjjz+ir6/P6NGjNR3KJ0tbW5tZs2Zx/vx5li5dqulwxEckIyKE+IQsWrSIbt26UbNmTdasWYOpqammQxKfiZdzZpcqVYpNmzZhbW2t6ZCEEEKIfyUsLIyGDRty8+ZN1qxZkz6aVIh/69mzZzRt2pRTp06xZMkSWrduremQhBBC5ELnz5+ndOnSzJ07lx9++EHT4Xzy2rRpw+HDh7l9+7a0h32mJBEhxCdArVYzatQoxo4dy/fff8+vv/6Kjo6OpsMSn5mTJ0/SqFEjrKys2LFjBx4eHpoOSQghhPggN27coF69eiQnJ7Nt2zZKlCih6ZDEZyYpKYkuXbrw999/M3HiRIYMGYKWlpamwxJCCJFLqNVqKlWqRFRUFBcvXpQ2nncQFBSEt7c3/fv3Z/z48ZoOR3wEMm5ZCA1LSkqiQ4cOjB07lokTJzJ//nx5gxIfhZ+fHydPnkStVuPn58epU6c0HZIQQgjx3g4ePEj58uUxNTXl1KlTkoQQH4W+vj7Lli1jxIgRDBs2jB49epCamqrpsIQQQuQSa9as4fjx48ycOVPaeN5Rnjx5GDx4MNOmTeP+/fuaDkd8BDIiQggNevbsGc2aNePEiRMsWbKENm3aaDok8QV4+vQpTZo04fz58/z99980a9ZM0yEJIYQQ72TZsmV06dKFKlWqsG7dOszNzTUdkvgCvJw+tVatWqxevVqmixBCCPFG8fHx+Pj4UKJECTZt2qTpcHKVuLg4vL29KVu2LOvXr9d0OCKHyYgIITQkICCA8uXLc+XKFfbt2ydJCPGfsbGxYd++fTRq1IgWLVowY8YMJCcthBDiU6ZWqxkzZgwdO3akXbt2bN++XZIQ4j/z7bffsn37do4dO0blypV59OiRpkMSQgjxCZs6dSphYWFMnTpV06HkOsbGxkyaNIkNGzZw6NAhTYcjcpiMiBBCA86ePUuDBg0wMTFhx44deHt7azok8QVSqVQMHz6cyZMn07t3b2bMmIFCodB0WEIIIUQGKSkpdOvWjcWLF/PLL78wYsQImatfaMTVq1fTF0XfsWMHhQsX1nBEQgghPjXBwcF4e3vTs2dPJk+erOlwciW1Wk358uWJj4/nwoUL0k7xGZEREUL8xzZv3kyVKlVwd3fn5MmTkoQQGqOtrc2kSZOYN28ev/76K82aNSMuLk7TYQkhhBDpoqKiqFevHsuXL2fp0qWMHDlSkhBCYwoXLsypU6ewsbGhQoUK7N27V9MhCSGE+MQMGzYMExMTRowYoelQci0tLS1mzZrFlStXWLhwoabDETlIEhFC/IfmzJlD06ZNqVu3LgcPHsTOzk7TIQlB9+7d2bp1K/v376dq1aqEhYVpOiQhhBCCoKAgKlasyNmzZ9m9ezcdOnTQdEhC4OzszJEjR6hQoQL16tVj0aJFmg5JCCHEJ+LkyZP8/fffjB8/HjMzM02Hk6uVKVOGDh06MGLECJ4/f67pcEQOkamZhPgPKJVKBg0axMyZMxkwYACTJ0+WoWXik3Px4kXq16+Pnp4eO3fupECBApoOSQghxBfq9fekHTt24Ovrq+mQhMggNTWVnj17smDBAkaMGMEvv/wio3WEEOILplKpKFeuHKmpqZw9e1bafHJASEgI3t7edOvWjWnTpmk6HJEDZESEEB9ZfHw8LVu2ZPbs2cyZM4dp06bJG5L4JBUvXpxTp05hampK+fLlOXjwoKZDEkII8QXasWMHlSpVwsnJiVOnTkkSQnySdHR0mD9/PhMnTmTs2LF07NiRpKQkTYclhBBCQ5YvX87Zs2eZNWuWtPnkEGdnZ4YPH87s2bO5deuWpsMROUBGRAjxEYWHh9OoUSOuXr3KypUradSokaZDEuKtoqKiaNGiBYcPH2bRokW0b99e0yEJIYT4QsyfP5+ePXtSv359Vq5cibGxsaZDEuKtVq9eTceOHSlfvjwbNmzA0tJS0yEJIYT4D8XGxuLl5UWlSpVYvXq1psP5rCQkJFCgQAEKFSrEtm3bNB2O+JdkRIQQH8mtW7coV64cgYGBHD58WJIQItcwNzdnx44dtGvXjg4dOjBmzBgkZy2EEOJjUqlUDB06lB49evDDDz+wceNGSUKIXKN169bs37+fK1euUKFCBQIDAzUdkhBCiP/QxIkTefbsGZMnT9Z0KJ8dQ0NDpkyZwvbt29m9e7emwxH/koyIEOIjOHr0KI0bN8bBwYEdO3aQN29eTYckxHtTq9WMHTuWUaNG0blzZ37//Xd0dXU1HZYQQojPTGJiIp06dWLt2rVMmzaNfv36yVz7Ile6desW9erVIzY2lm3btlG6dGlNhySEEOIjUSqVKBQKAgICKFCgAIMHD2bMmDGaDuuzpFarqVq1Kk+ePOHy5cvSLpGLyYgIIXLYypUrqVmzJkWLFuX48eOShBC5lpaWFiNHjmTZsmUsX76cevXqERUVpemwhBBCfEaePn1KzZo12bJlC2vXrqV///6ShBC5lre3N6dOnSJfvnxUrVqVLVu2aDokIYQQH8Hhw4exsbEhJSWFIUOGYG1tzdChQzUd1mdLS0uLmTNn4u/vz/z58zUdjvgXJBEhxL8QGRlJq1atePr0KWq1mgkTJtC2bVtatWrFrl27ZH5Y8Vlo3749u3fv5uzZs1SsWJGHDx8CMGPGDJYsWaLh6IQQQuQm8+bN4/fffwfg7t27lC9fnlu3bnHw4EGaN2+u4eiE+PdsbW05cOAAderUoUmTJsyZMweAkJAQ2rRpQ2xsrIYjFEII8W/dvn2bqKgojh07xrp165g0aRImJiaaDuuzVrx4cbp06cLo0aOJiIjQdDjiA0kiQoh/4c8//2TLli0olUq6devG//73P0aOHMnSpUvR19fXdHhC5Jhq1apx4sQJYmJiKFu2LBcvXiQwMJAhQ4aQnJys6fCEEELkAnFxcQwbNoygoCBOnjyJn58fAKdOnaJcuXIajk6InGNoaJg+wqdPnz4MGDAAlUrF2rVrWb58uabDE0II8S9FRUVhamrKgAEDKFu2LPb29nTu3JnExERNh/ZZGzt2LKmpqYwePVrToYgPJIkIIT6QSqVi/vz5NG3alG+++YbFixezaNEifvnlF5lSQHyWfH19OXXqFM7OzlSuXBlfX1/Cw8PZuHGjpkMTQgiRC6xYsYKYmBhcXV2pXr06Pj4+nDx5Eg8PD02HJkSO09bWZtq0acyZM4dZs2bRr18/6tevz7x585BlGoUQIneLiopCoVBw6dIlnJycqF27NsHBwbJ2wUdmb2/PyJEjmT9/PtevX9d0OOIDyGLVQnygXbt2UbduXfLnz094eDirV6/G3d2d/Pnzo1AoNB2eEB9FeHg4sbGx9OvXjx07duDh4YGDgwOHDx/WdGhCCCE+YWq1mhIlSpCcnMzNmzdp1aoV48ePx9zcHGtra02HJ8RHkZqayr1797h58ybt2rUjT548+Pv7c+zYMSpUqKDp8IQQQnyg7t27s2DBAoyMjACYMmUK3bp1Q1tb+nt/bElJSRQqVAh3d3d2794tHYFzGfkLEeIDTZw4EW1tbZ48eULRokVp2bIlPj4+XLhwQdOhCfHRtG3bFg8PD+7fv0/BggW5ffs2R44c4cqVK5oOTQghxCfs+PHjXLp0iRs3blCsWDEuXbqEh4cHXbt21XRoQnw0R44cwcfHh06dOlGyZEmCg4PR1tZm4sSJmg5NCCHEv3Du3DnUajXFihXj2rVr9OjRQ5IQ/xF9fX2mTZvG3r172bp1q6bDEe9JRkQI8QHCwsJwdHQEwMDAgEqVKlG9enVq1qxJqVKlNBydEB9PZGQku3fv5sCBAxw4cID79+8DUKNGDfbt26fh6IQQQnyqypUrx+nTpwHw8vKiWrVqVK9endq1a2NhYaHZ4IT4SNRqNadPn2b//v0cOHCAY8eOpa+tFRsbi7GxsYYjFEII8SGWLl2Kv78/48aNkx75GqBWq6lduzaBgYFcu3ZN1mjNRSQRIcQHUKlU9O3bl/r161OtWjV56IkvVmBgIAsXLqRixYrUqVNH0+EIIYT4RG3atIlLly7RtWtXXFxcNB2OEBqRmJjInj17OHjwINOnT5fGKyGEEOIDXbt2jaJFizJp0iQGDRrEb7/9RqNGjeRz5idOEhFCCCGEEEIIIYQQQgghco1evXqxdOlS7ty5Q758+Rg/fjx9+/bVdFjiDXQ0HcDnRqlUcuTIEfbt20dUVJSmwxG5jIGBAWXKlKF+/foyVFvkuKCgIDZu3Mj9+/dRKpWaDkfkIvr6+pQsWZKGDRtiamqq6XDEZ+b58+ds2bKFS5cupU9ZIsS70NHRIX/+/DRt2hRnZ2dNhyM+MzExMWzdupXz58+TlJSk6XBELmNhYcFXX31FhQoVZN54kaNSU1M5ePAgBw4cICYmRtPhiFzG0NAQPz8/6tati6GhoabD+VcCAwMZOXIkK1asYMSIEZiZmUk7bC4gIyJyUFxcHA3q1+fQ4cPYW5lhY26MDLYV7yMuMYWA0Ke4ODtx6PARPDw8NB2S+EwsWbKEzp07o62jh4lDXtCWPLR4d6rkeGJCA7CxtePwoYP4+vpqOiTxmbhw4QLVa9Qk6vkzrFw8UOjl7i9E4r+lUqbw/FEAqJSsWrWKFi1aaDok8Zm4ceMG1apWIfzJU9ztzTHSU2g6JJGLqNXwJDqRJ9Hx1Ktbh/UbNmJgYKDpsMRnICoqijq1a3HqzFkcLAyxMtJDZngT70qthtgkJUERseTL68ahI0dxdXXVdFgfJDU1FTs7Ozw8PKhRowaTJ0/Gzc2NZs2aMW3aNE2HJ95AEhE5aOjQocydPZMlA5tRvWg+mfNTfJC7jyL4etI67PJ4cOLkKU2HIz4DDx48wN3dHftKbfD4+md0DE00HZLIhRKeBOE/pzMuZjpcv3pF0+GIz4BarcY9nwcJuuZUHfYXxjZOmg5J5EJJsVGc+n0oQSe2EBoaio2NjaZDEp+BIoUKkvLsEUu+LY2btYxSFu9PpVKz53oY3ZadZ8So0YwYMULTIYnPQM+ePVm+eCF/fu2FX15zaXMSH8T/cRydVtzCt2R5du/Zq+lwPtiZM2fo3Lkzd+7cwcLCgoSEBFq1asWff/6p6dDEG8gYwRy0bu0aWlUqSI1iHvKGID5YfidrBjcvz8lTpwkJCdF0OOIzsHHjRrR19PD4+idJQogPZmibB9cmg7lx7Sq3b9/WdDjiM3DhwgUeBAZQvONISUKID6ZvYk7ZrmNRqlRs2bJF0+GIz8Dt27e5ev0Gw+p4SxJCfDBtbS3qFHakfhFH1q9do+lwxGdArVazbs1qvi5hS3l3C2lzEh/Mx96YnhUc2X/gAM+ePdN0OB+sTJkynD9/nkGDBhEREUFsbCw3btzQdFjiLSQRkYMCHwRROK+9psMQn4FCL36PHjx4oOFIxOcgMDAQY/u86BjK3P7i3zHJUwiAgIAADUciPgeBgYEAWLsX0mwgItczMLfB1MaR+/fvazoU8Rl4+Wwq6Gyu2UDEZ6Ggkxn35XOTyAGJiYmEP42goIMkSMW/V9DRGKVSRXBwsKZD+VcMDAwYP348p0+fxsLCgsTERE2HJN5CJgnPQSqVCoVCcjvi39NVpM1DKwsKi5ygVCrRUsjcxuLf01KkfWyQZ5PICS9/j17+Xgnxb2grdOXZJHLEy98jHW3pbSz+PV2FljybRI6QZ5PISbraaW2Xn8vzqVSpUkRGRmo6DPEOpNU8l7NqOQ6X9pOZsu6oRuNQKlW4tp+MXZsJTFxzRKOxCCH+e4e/ceLo9x482DxD06G80YPNMzj6vQeHv5FpYIT4EixubMeyVnm5tPrTXrTu0uppLGuVl8WN7TQdihDiP+LQfxPuQ7cyfY+/pkN5o+l7/HEfuhWH/ps0HYoQ4j/gPPIY+X85wYyDQZoO5Y2+/usa+X4+Tos/Ze06kUZLS0umLMsFpAvaZ+DE9O/JY2cBwNnbIYxbeYjLAWHo6SioWdyDCZ1rY2akn17+8v1Q/vfXXq7cD8PYQI9+TcvTvX4ZADpOWcfpW8EkJKeQx9aC/7WpTL3S3unHjl91mL8PXCI2MYWi+RyY0rUO3i42KBTaPFw+hJ5zt/6ndX9dUPhzev22jfN3QnCxNWdq1zpUKpQ3y7IbT9zg162nuRb4mOYVCvJrr4YZ9iuVKiauOcLfBy8Tm5CMu4MlW35qj7mxAXsv3GXk0v2ERsagr6ugRjEPJnX5KsM9FuJLVHrcIQxsXdNfK5Piub96DOFntqBWpmLi6kux/20E0uY4DVg7jtDDKwFwrNoO9xbD0z84xD64xq1FA4kPvYORkxfeXaZj4uoLwJVp7Yi6fTr9OurUFIwcPSg19gAAiU8e4v9nf2LuX8DA2oX8HSdgWaACAG6N+2NfvgWnB5f9+DckG8G7FxC0/VdUKYnYlqqPZ6eJaOvoZVk2ZP9fBO+cR0rsM4wcPfBo+wvmnqUBONotf4ayquREnKp3wrPDOODN91+IL0mTOUcwtc8DwL1D6zgxb1D6PrVKjTI5gYbT9mKTvyhJsVGcnDeYR5fTOlW4lKyOX7fJ6BqZEPM4iHXfl0LHwCj9+MLNelOs9UAAAo5t5tqmeUQGXCNf5aZU6jsnvVxU8F3O/vUT4bfOg1qFfUE//L6fiJG1AwDFWg/Eo2pL1n1f6qPfj+xc3zyfqxvmkJqcSN7yDfHrPhmFbtbPpkeXj3Dq92HEPgnB1rsklfrOxsTWBYCNvSoR++RhelllchIuJWtQc8RyAFRKJRdXTubOvhWkJMRi5uhOnbEb0TeRaXDEl+fw0OrksXo1zcriY/f57eBdnsUl42FnwtimhSntbg3A/9ZfZsfVUGITU7E11adXDU/alcubfuzR208Yvv4yIc8SKOFmyay2JXCxTHtebb4YwvxDd7keEkWTEs7Mblsy/bi74TH8vPka5x88Q61W4+dhw/jmRXAwNwRgQG0fWpRypcwYzS1o+vuhu8w9cIfEFCUNijoxqUUx9HSy7lP5pvsQ+jyBYesvc/p+BIa6CvrV8qZTBfdM51hzNog+Ky4w8+vitCnj9lHrJsSn6GDvErhaGqS/TkhW8svuALZee0qqUo2vgzEbuhYB4Lejway5+JhHUcnYmerSu7IrrUu8mrL8RMBzftkVQEBEItZGuvSu4sLXJR0yXC85VUWtXy+SmKri9MDS6du3XXvKlP0PCI1Oxtlcn+G13ajtk/ZMXPlNIVZfeMzai48/5q3IVlKqiuFb77LjegQGutr0quxCVz/nLMuuvvCYRaceERiZiLmBDh3LONCr8qvvzTfC4hix7R43wuIw1lfQsbQjfau6ZjpPq8VXOX4/ipAxFXO8PrGxsTKtkXgv2tramJubo3jP2TckEfGZiYpLpEudklQrkg+VWk332ZsZtXQfM7vXByAiOp6W41Yx7ptaNC5XgKTUVB5FxKQfP7xNFTwcrNDTVXD+TghNx6zg/JwfsDU3Zutpf5YfuMSOMR1xtTFn3KrD9Jy7hX0Tv/3XcYc/j8XO4t8tott15ib8Criy5n9t2HPhLp2mrufcnB5YmRplKmtpYkifxn4cvRZIfGJKpv0T1xzhzK1g9oz7BmcbM24+fIK+btqfS2F3e7b81A47CxPiEpMZsGAnE9ccYfw3tf5V/EJ8bm7/NQS1SkmZCUfQMbYgNuh6+r7QQ8uJuLSXUmP3AXBlShsM7dxwrNIOVWoy12Z3xqVON5yqduDRoWVcn/0tpSccRVtHlyID/85wnUsTmmPhWyH99Y35P2DuVYYiA5YTcXk/N+Z+R5lJx9A1sfpX9VGrlKTGPUfX1PqDzxF59RBB23+l6LB16Jnbcn12Fx5snoF786GZysYEXuH+mrEUG74BE7fChB5cyvU5XfGbdQktLS0q/X43vawyMY4TfYtiW+ZVUvVN91+IL5VH1RZ4VG2R/vrO/lVcXjMNa4+0L9MXV0wiKfYZLRacBbWaAxM7c2nNNEp/Mzr9mA6rA7M8t76JBYWb9ST0yjFSk+Iz7EuOj8atXH0q9ZuLQs+AMwtHcHR2b776ee2/rpNKqSQ57jkGZh/+bAq5cICrG+ZQZ+xGDC3tODDhGy6tnkbJ9sMzlU2MjuDgpG+p0GsGLqVqcfHviRye1p36E7cB0HTuq1G6arWadd+XJm/5V8+miysnE+5/lgZTdmJs48zzIH8UetKZQ4jLD58zZut1NvaqRBEXc5acCOTbxWe48nMdtLS06FwxHyMbFsJQT8G98Fiazj1KUVcLCjlbEBGbRJfFp5nepjg1fR2YtPMmPyw7x5Y+lQGwNNKlZ/X8HLvzlPjk1AzXjU5IpV4RJ+a0K4mBroJRG6/Sd8UFVveokFWY70WpUvM8Phlrkw//Gz/o/5i5B+6wvmdF7Ez16bzoNNP3+DOsnm+msm+7Dz3/Pk8hJ3MWflOG22ExNP/tGB52JlT0tE0/x/P4ZGbvu423g6ytJsRLQzbfRalWc6RPScwNdbgeGpe+T0sLfm3pjY+9MTfC4mjz1zXyWRtS2s0MpUpN1xU3GV47L+1LOXA5JJaWi69S3MUUH/tXSdh5x0KwNtYlJCopfVt4TDK9193iz7YFqOZpyf7bz+i+2p8zg0pjZaT7r+oTl6REWwsM9T58+uLpB4IIikzk1MDSPIlJpuXiq3jZGVPZwyJT2aRUFWMbeFDM2YSQqCTa/nUdZ3N9mhZNGwnbZ90tanpbsfbbwjx8nkjTP65QyMmYGl6vvr9uuBxOqlL9wfFmZ8WKFbRu05bbt27m+LnF58/UzJxmTZswZcoUbG1t334Akoj45AWEPaPGsEVs/bk9Bd3sefD4OdWHLWLjqLYUcXfIVL5mcY8MrzvWLMaYFYfSX/+27TTVi+ajZaW0hSH1dBV4u7z6YFjA9dUvjra2FqmpKh5FRGNrbsyD8OeU9XElr70lAC0rF2LBzrMfXLfkFCU7zt3m7wOXuBH0hOu/9/ngc919FMG1wMdsHNUWAz0dGpXzYf72M2w7c4uONYpnKl+1SFrPlxtB4cQnRmXY9zw2gfnbz3Bk6ne42Kb1zvPN82qqBAfLjB9KFdpaBIY9++DYhcgNEsIDufBzPYoOW4eJqy8JT4K48FNdigxZhalb4Uzl4x/dIeLiHsrNOJ++SLZp3iLp+x8fX4NLne7oWzoC4PJVN8KOrcaxSjue+59I21ara/p/g3fOJ+rWSSwLVs5wncQnD4m6fRqfrjPTrht2j7ig6xQdshptPQNsS9cneO8fPD2/E8cq7T6o7vFh9wk7tprHx9fh1qgfTtU6fNB5IK3ejlXbYezkCYBb4374/9Evy0RE4pOHGDt5pd83+wotubN0OCkxkej9o8Hxybnt6JnZYO6VNtLjbfdfiM9FdGgAWwd9Rd1xG7HKW5CYxw/YOrA2X/2yDut8mZ9N/3T3wGo8qrV6NRorPIg8ZeuiZ5T2d+NWrh7B5/e/UyxOxaoA8OzBTWLDMyYibL1KYOtVIv21T71v2T60/judNztRj+5zd/9K7h5cQ9FWA/Cp0+mDz3X34Bq8anfAwtULgKKtBnB0Vu8sExEPTm7H0s03PblQ7OvBrOxQgOjQ+5g55stQ9vH1kyRGR+BWvgEASbHPubH1dxrPPJg+gsLSrcAHxy3EpyzwaRx1ZhxiQ8+K+DqZ8yAijjrTD7GmRwUKu1hkKv8wMg4vB1OKuqbta1nKlWHrLhMRl4yNiT6e9q++g7yceeJBRDyFnC3YcSUUXydzGhRN64076CsfCo7cQcCTWNxtTajsnfZd5mZoNPGRGRMRJdwsKeFmmf66c0V3Gsz+d9P+3n8Sy6ozQaw9G0T/2t50LJ951MG7WnP2Ie398uL1ov4DavvQZ8X5LBMRb7oPdmYGnLj7lD+/KYOuQpuCzuY0KOLEqtMPMiQixm+7QZdK+dhyKeSDYxbiUxYYmUD9+ZdZ+21hfB2MCXqWSN15l1j9TSEKOWXuHHr3STx7bkVyblBpTA3SmhCLOL8q16OiS/rPhZ1MKO9uzvngaEq7mRGVmEpUopIWRe3Q0tKimIspnrZG3HmSkJ6ICHqWyIbL4Yyu687wrffSzxUWnYypgQ7VXzTG1/S2wlBXm6DIxA9ORJwOjGL1xcfsuB7Blu+L4mWXudPqu1p7KZzZLbywMNTBwlCHtiUdWHvhcZaJiI5lHNN/zmtlyFcFrDj/MCY9ERH0LIlmRe1QaGuR1yotiXM7PD49ERGdmMr0g0HMau5FowU5OxXVlClTsCnblPxde6DQl4XQxbtTq1KJD/Zn1calnDl3nnNnTmNk9Pa/KUlEfOLcHSwZ8XVVus/Zwp5x39B9zmZ+aFAmyyREVk77B+PzWnLh3O0QCuSx46sf/yIg7BmlPJ2Z3LUOLjZm6WW+n7WJraf9SUpRUqu4B4Xzpl2riZ8v649e5+6jCNzsLFh16ArVi+XLdM23uRb4mOUHLrP+2HU8na1pW60Iiwc0T98/c+MJZm46keWxLjbmHJv2Xabt/g+f4O5gibHBqykECrnZ4f/w6XvHdyPoCQqFNltO3WTetjOYGenTo0EZOtd+NYT5xoNw6o1aSnR8Esb6uiwf2vK9ryNEbmJolxf35kPxX9CH4iO34r+gNy5ffZ9lEgIgOuASBjYuBG6cyuMT69C3sCdv08HYlKwLQFzIbUzyFEwvb5KnIPEhtwGID7mNsUvGhiljV1/iQm5nSkSEnViLuVfZ9Cmh4kNuY2ifF4X+qzdAkxfHvg9lUjxPzmwl7Ogq4kPvYFumMYX6Ls7QmH+sh0+2x3t2HI+9X7NM2+NCbmNT8lXjo4mrL8nPQkmNj0bHyCxDWavCVQnaPofoexcwdS9K2JGVmOQtkikJAfD4+Frsy7dIb0x92/0X4nNh5uhOyfbDOTKjJw0m7+TIjJ4UbNT9nZIQseEPeXzjJBX7zEzf5lO3Mze2LyRf5bS/38CT23ErVy/Dcau/LQqAc7GqlPpmNAZm7z/aKvzmGSzzZP8MyU5KYhyBx7dyZ98KngffIV+lJtT4cRk2Hq+eTX+3zZ/t8eW6TcKjSvNM258F+ePm9+rZZOVekPiIUJLjotEzNvtH2VtYub96fusaGGPqkJdnQbcyJSLuHlhN3vIN0DVI+2L77MFNtBU6BJ7Yyo0tv6NrZEbBRt3wqfvNe90HIXKDvDbGDKvnS6+/z7O9bxV6/32eblXzZ5mEAKjmY8/sfXe48CCSoq6WrDz9gCIuFti8Nppg3LbrLDxyn4QUJUVcLKjmk9aIdSssGl+nV3+rxvo6uFkbcyssBnfb9xt1fiYg8oNGA8QlpbL1cgirTgdx+3EMTYo7s6RLOYq4vqqv1/Bt2R4/sUVRmpXMPBXJrbBo6hd51Yjn62RGaFQi0QkpmBnqZiqb3X2wNU27j6/3J1YD/mGvZge48OAZlx4+Z2KLopKIEJ+tvFaGDKnpRp91t9jarSh91t3m+/LOWSYhAC4Gx+Birs/UA0GsvxyOvYkeg2rkoa6vTaayyakqLoXE0rZUWhuSlZEuzYvasvriYzqUduRicAwhz5MonefVM2bEtnsMq+WGgW7G6dYKORrjbWfEnpsR1PC2Yq9/JAa6Crzt3y95EBadxNqL4ax+MYVTy2L2HOhdAifztGfCmQdRdFp+I9vj9/UsjrOFQYZtzxNSeRyTjK/Dq4Z7Xwdj9t16t8WSzwbF0Kr4q86uXf2cWHcpnME18vAgMpELD2Po/drUTRP3PqBjGUfsTLKeMvNDpCrVoK3Aodo3uLf9JcfOK74s1qUaYFW8Dld++YqdO3fSvHnm7xn/JImIXODbr0qy4+xtagxfjImBHv2alH+n407dfMhf+y6yc0zH9G2PImO4HBDGhpFt8c1jx0/L99N99ma2/fKqh++Cvk1IVao4ci0Q/4dP0NZOa9iyMzemrI8rZfrOR6GthYuNeYbj3ubI1UBGL9tPREw8rasUZs/4b3B3sMxUrl/T8vRr+m51fCkuMSXTGg1mRvqER8Vlc0T2HkVEEx2fxN1HkVz8tSf3wyJp8vMK8jtZp6854etmR+CSQTx+FsuSfRdxtjZ780mF+Aw4Ve/E0wu7ufBzPRQGJuRp0CvbskmRocQF+2NTsh5+My8Sffc812Z2pITzLowcPFAmxqX31AdQGJqSmhgLpE0z9M9GeR1DU5Qv9r/u8fF1uDXsm/5amRiHwjDjl2cdQzOSo5+8cz1vLRrI0/M7MctfCudaXbEuXivLNRwqznv/xSXT6vZ6vc1ebI/NVGdtfSNsStbj0vgmqNVqdI3NKTJ4daZzJj4N5rn/Sby+fbUY79vuvxCfE5+6nQk6vYutg75C19CYws3fbYTl3YNrsPcth6n9q/m/rfIWRJWSzMoOPqjVapyLV8OnbmcADMysaDh1D1b5CpEUE8nJ+cM4OrMXtUateK94o0LuceHviVQd8sd7HXdsTn8enNqOfYEy+Db8DtfSX2W5hkO7FXezOPrNUhPj0HvtGfTy55SE2EyJiNTEOAwt7TNs0zMyJTUh4zM6NSmewBNbqfHjsvRtcU8fkRwXTfSj+7RYcI7o0PvsGtkCc+f8OBbJ+fmOhdC0byq4s/taKHVmHMJEX4feNbyyLWukp6B+EUcazT6KGjA31GXtP6ZH+rFBQYbX8+VC0DOO3XmCriKt4S4uORV7s4wNZWYGusQmZRz98Db3wmOZtPMmCzqVfnvh1wxYdZEdVx9ROq8VXSvno3ZBxyzXcLg9ocF7nRfSEhxmBq8SDi+TD7FJqZkSEW+6DyYGupRxt2Labn9GNizI7bAYtl95hLVx2ndIpUrNsHWXmdC8SPr3XyE+V53KOLLnZgT151/GWF9Br8ou2ZYNjU7GPzyeegWtuTC4DOcfxtBp+Q287IzxsDHMUHb0zvvktTKgan6L9G0NCtkweNNdRu24D8C0Jp44mKX93e288RSVGur62nAi4HmGc2lra9GsqC09190iKVWFnkKbRe18MdR9t+mUQp4nMmzrPS48jKGerzUzmnpR2i1zu00ZN3Nu/uj3Tud8KS5ZCYCZ/qsmVTMDRfr2N/ntaDCxSam0fC0RUc3Lkn7rbzP/eDBKFQyp4UbhF4mhyyExnA2K5pd6+QiNTsrutO8t8FkCqJTYlGmUY+cUXyZjt0KYOHpw6NChd0pEZL3Ck/jkdKhRDP+HT+hWrzQKxdv/t914EE6naev5vXejDCMiDPR0qF/GmxL5nTDQ02FIy0qcuBlEbEJyhuN1FNpUL5qPI1cD2Xk2rSfxlHVHuXw/lBsL+hCyfCjf1CpOu0lrUKvfbZ66J9FxBDx+RgFXWwq52eNknXPzbhob6BLzjzrEJCRjYvj+85Ea6KW9mQxpWQlDfV0KutnTrIIvey/cy1TW3tKEWiU86DpTFoAVXwbHKm2JD7mFS61v0dLO/kOgQs8ALYUubo36oa2jh4WPH+befjy7lrYArMLAmNSEVz3QlImx6BiYpO9TvrYPIDUhBoVBxl46UbdPkxwVjm3pV19q046NfeuxbxIX7I+2jh4meQpi7OqT7ULSHyKt3q/iUybGvNieOb6wIyt4fHwNpSccofLCQDza/sK1mR1R/mPu+ccn1mHuVQZD2zyvrvOW+y/E58arVnueB/nj2+A7tN9xwbS7B9eQv1rrDNsOTumKhasX7Vfdp+3y2+joG3F28U8A6BqaYONZDG2FDoYWdpTrNoHgC/szrQfxJnERoez5qTUl2g/HqUildz4O0kYTKHT1sMxbEEs332wXkv4QOgbGJL/23E2OT/tZ1zDzs0nHwJiU+IzP6OSEWHT+UfbBye3om1riUOhV5xIdvbQGwmKtB6Kjb4hV3oLkq9SE4PP7cqwuQnxq2pZ141ZYDF0re6B4QwP3itMPWHP2IceG1yRoSiPGNi1Mh4WniPtHMkFbW4tSea14HJ3IkuMBABjr6RCTmLFcTFIqJvrv3u8w9HkCbX4/wbB6BTJMVfQuboZGo/diuqMCjubZLiT9IYz1dYh57R68rGdWdXvbffi1fSkeRMRR4ufdDF13meYlXXF80dN58bH7+DqZUTLvv1tTTIjc4uuSDtwKj6dLOac3PpsMdLXRVWjRt0oe9HS08XM3x8/djKP3Mk5PPevQQ04HRrOgjU/6KO27T+LpufYWc1t6Ezi6Aju6FWPC3gdcDokhPlnJ2N2B/FI/61k2jtx7zvg9gWzsUoTA0RVY3M6Xnmv8eRT1bo3x8ckq7oTH42imh6+DMR62hm8/6B0Zv1hbIsOzKUmZvj076y6F8+epRyztUDA9ofIsPoUOS68zqHoeAkZX4Hj/kqy/HM6uGxGoVGr+t/Uev9TLh44iZxOkiSkqAHRMLHL0vJoWffs0l0ZWy/Gy4s10TCyJjc3ccTTLsh85FpEDouOTGLVsP+2qFWXsykPULpkf0zc0sAeEPaPl+FWM61ST2iU9M+wrmMcufU5RAC20Mrz+J6VKxf0X6x9cDXxM84oF09dI6PJVKX7++yAR0fHYmL99LrnmFQpSr5QX287c4q+9Fxj4x06a+BWgTdUilPJ0Ti83fcNxZmw4nuU5XGzNOTmjW6btPq62BIRFEp+UgpF+Ws+Yaw8e07rK26dm+KeCbmm9/F6/LW++R+r0eyTE5yw1IYZ7q37BoVIbAtZPwqporUwNTy8Zu2ae81vrtT8kY2cv4h7eSJ/qKDboOkbOab0EjZy9CN6TsadwXPBNXGp3zbAt7NhabEvWQ2Hw6vlj5OxFQngAyqT49OmZ4h7ewL5CC95ViVHbiQu5TdjRlVwa3wxDuzzYV2iFXZlG6Bibp5c72i376U+8Ok3GvnzmqZnS6n0d21L1XtT7BnqWjplGQ6Ttu451sdoY2uUFwN6vGXf/HklcyG3M8hVLL/f4+Dpc6/fMeJ233H8hPifJ8TGc/esnPGu25fzy8biWqo2u0ZuTj49vniYh8nGGRZQBIgOuUf6HqejoG6GjD5412nBuyZgsz/Hyb+pdO2QkRkewe1RLvL/q+EHrOTScuovnQbe4vX8FO//XCBN7N/JXb417xSbom7x6Ni1rnTfbc5TvMTXDYt0vWebx4VnAdfL6pSV2IwOvY2TtmGk0RFpZb+4dXp/+OiUxjpjQQCzzeGcod/fAajyqtszw7LHM+2JO9wzPI3k2ic9XTGIKP2+5xtdl8zBh+w1q+dpjYpD13ObXQqKoXciBvDZpn2ualXRlxMar3H4cQ/E8mUeRK1VqAp6mjf72djBj/YWH6fviklJ58DTunadYiohNotX8E3T0y/tB6zns7F+FW2HRrDwdRJO5R3GzNqZVaVcaF3fG3PBV0jTf0K3ZnmNKq2I0z2JqJm8HM66HRFG/iBMANx5F4WhukGk0xMuyb7oPrlZGLP/uVc/nHsvOpd/bY3eecPJeBPtv7gTSFq2+FhLFzdBofm78/t8phfiUxSSmMmZ3AG1K2DNpXyA1vS2zTVwWsM/c1qP1j/fuv04/YvWFx2zoWhjL19Zv8H8cj6etEZVerJtQyMmEkq6mnAiIQqGtRfDzJJotTFvzIEWpJjoxlWKTTrP7h+LcCI3Fz908fcqoSh4WuFgYcP5hTPq0Sm/iaWfEyQGlOHY/ijUXHjN5/wMquFvQsrgd1b0s00eUnQ6Mov2y69me51DvEpmmZrIw1MHeVI8bYXFUyJdWtxthcXi/Yc2J3TcjGLs7gNXfFCKP5avzBT1LRFehlb5eRF4rQ2p6W3Hk3nP83M25/CiWHmvSRuIrVWmfOYtNOs3idr4Ud8mJzr2f1+cwM6+yFBtzMMfLvo9HexbwaOdvqFISsSpZn3wdJmTbuTHqxlHu//0jyZEhmOQrQf5vZ6Jv7Zxl2c+FjIjIBYYv2kNFXzfm/NCAEvmd+PGvvdmWDYmIpukvfzOgWXlavFiQ+nVtqxVl+5nbXA0IIyVVyZT1x6jg64aJoR7BT6PZdtqf+KQUUlKVbDxxg6PXHlDBN62XbTEPRzaeuMHTqDiUShWL917AwdIEa7N3n6PPUF+XlpUKsXFUOw5O6oKthTFdZ2yk6pCF6WUGNKvAw+VDsvyXVRICIL+TNb5udkxee5TE5FS2nfbnZtATGpTxzrK8UqkiMTkVpVKFUpX2c0pq2jA6dwdL/Aq4Mm3DcZJSUrkV/JQNx2/wVcm0RsdNJ28S+PgZarWakIhoxq08ROUXUzYJ8Tm7u3wkFj7l8e4yHVP3YtxbOTrbsuZe5dC3diZo2xzUylSi7pzhuf9JLAulLeZqX74lD3fOJ+lZGEnPwgje9TsOFVsBYOGT1ns2ZN8iVClJhOxbhJaWNuber744KpMTeHJ2K/YvjnnJyMEDYxdfHmyejio5kafndxIXcuu910YwdvbCo81o/Gacx7VeTyKvHODUwFI8OfPqC3Sl3+9m+y+rJMTLeoceXkH8ozukxkURtHVWer3/yTRvUSIv7yPxaTBqtZrwM1tQJSdiaJ83vUzUnbMkPQvFtnTGxtS33X8hPien//gfDoXKU7H3TGw9S3D6z5FvPebugTW4+dXPlLCwyV+M23v+RpmSREp8LHcPrklvPH9y6zxRwXdRq1QkRkdyasGPOBWplL7+gUqpJDU5EZVSiVr14ufUFCAtWbLnp9a4lq5FkRbvNnVUVizyeFOm88+0WnSZws17E3JhP2u6FCPg+Jb0Mh1WB2b7L6skBIBHtVbc2rOc58F3SIqN4vKaGeSv3ibLsm7l6vEs8DoPTm4nNTmRS6unYe1ROMP6EHFPHxF69Tj5q2cccWLm6I69bzkur52BMiWJ5w9vE3BsE66la3/wPRHiU/bjhiuUz2/DjDYlKO5myahN17ItW9TVgn3Xw3gYGY9arWbzxRASUpS42xgTn5zKqjMPiElMQaVSc+zOEzacD6aiZ9oc7XWLOHIjJIodVx6RmKJk+p5bFHYxT18fQqlSk5iiRKlSo3rxc4oyrTdsTGIKX/9+glq+9vSumf3UUW/j7WDGT40LcXH0V/Sq7smBm48p8fOeDGst3J/UMNt/WSUhIG3R7r9PPeDO4xiiEpKZsecWrcvkybLs2+7D7ccxxCamkJSqZO3ZIA7fCqdb1bTveLPaluDosBrsH1SN/YOqUdTVkiF1CjDoq/dfz0eIT93IHffxczdnWlNPijmb8tPOgGzLlstrhrO5PnOOPCRVqebsg2hOBkZROX9aEm/txcfMORzMim8Kpk+59FJBR2PuPkngZEAUADfD4jj9IJoC9sb42BlzdlBp9vxQnD0/FGdK4/zYm+qx54fi2BrrUsTZhFOB0dwMS0u4ngyI4s6TeHzeY4FpLS0tKnlYMKelN6cHlqaKpwVzjgRTYvIZHkQmAlA2rzl3RpbP9t8/kxAvtShmx8xDD4lKSOXuk3hWnn9MyxL2WZY9eu85AzfdYXE7X7z/kdjJZ21IilLNlqtPUKvVBD9PZN+tSAo4GGFmoODC4DLp92hZh7Q1uvb8UJxCjrKw9Kfo+bVDPNr5G76D11Ji0imSnjwgeMuMLMumxERy67fvydN0KKVnX8fYrQh3FvTMsuznREZEfOK2n7nF0euBHJv2PQBTu9ah4sAF7D5/h6/+MdoBYPmBSwQ9ieKnZQf4admB9O0Plw8BoHLhvIz8uiptJqwmPjkVPx9X5vd+NSfc3K2n6flr2iJi+RwsWdC3CcU80hYH69vYj8fPYqk48A8SklPxcbVhyaAWH9zL1tXWnKEtKzOkRSVO3wr+oHO87s9+Ten561byfTMNV1tz/hrYHCvTtDeptUevMX3D8fRExuojV+n126vF0tYcvcbXVYrwa6+0xrw/+jahz7zt5O88HRtzY378uioVCqbNIR0U/pyRS/bxLDYBcyN9qhfz4Kf21f91/EJ8yp6e38lz/+OUGpv2XPHsOIFzI2oQcWkv1sVqZSqvraNLob6LubVoEEHb52Jg44JPtzkYOaQ1VDlW60DCkwecG5H2t+NYpR0Oldu+OFaPgn0WcXvRIO6vHouRkycF+yxCW+dV75qIC7vQMTLDokCFTNf27TEP/4X9ON7TF31rZ3x7LkDX5MOG2WspdLApUQebEnVIjn5KanzUB53nJasi1XCp051LE5ujSk7EtnQD3Br3T99/9n9VydOgD/blm2FfsRXxj+9zcVxjlAkxGNjmwfeH39E1tkgv//j4WmxK1ss0MuVt91+Iz8WDUzsIvXqcJrMPA+DXfRKb+lTh4dk92TZupyYnEnh8M9WGLsq0r2LvmZxcMJxV3xRGS0sL+4J++H03DoCYxw84v2w8iVFP0TUywalYVSoPmJd+7L1Dazk2u89rr9eRv3prKvWdw4NT24m4d4WokLv471ycXqbp3GOY2GY/L3N2tBU6uJWti1vZuiQ8f0JyXPR7n+N1LiWqU6jpD+z8X2OUyYnkrdCIYq0Hpu/f2KsSRVr0xaNqCwzMbag25E9OLRjO4ek9sPUqSZWB8zOc796htdj5lMLMMXPP6iqDfuf4nH6saO+NgbkNJdoPzzB9kxCfi51XH3H87lMODUn7rDOxeVGqTTnAnuth1C7okKl869J5uP8kjkazjxCTmEoeayMWdCyNhZEeCclK1p8LZvSma6Sq1DhbGDKyYUHqFk4bJWBjos/Cb8rwvw1X+GH5OUq4WfFbh1Lp5157Loh+Ky+mv153PphWpV2Z3bYkO66EciU4irvhsfx1/FVj5JFhNXCxfL9FYSFtit86hR2pU9iRJzFJRCekvPc5Xle9gD09quWn6dxjJKYoaVjMiQG1XyUHKk/cT99aXjQv6frW+3DI/zEz995OW+zb2YKV3cqnLwZubqgHr83coqvQwtRQB9NsRrAIkVvtuhHBiftR7O9VHIDxDT2oOfcie29FUss783cmXYU2i9oWYNDmu/x6NBgXC33mNPcin3XaH8y0A0FExKdQ69dXz5hmRe2Y1Cg/7taGTG6cn+Fb7/IoKhlLIx26V3CmqmdaEsPO9FUvcQsjHRTaWunbyrtb0KeKC9+uuEFEXCr2pnqMa+CB53skIl5nZqBDh9KOdCjtyJ3weMwM3m0qz+wMrJ6H4VvvUmbaWQx0tOlV2YXKL0Z+hDxPpOqcC+mjKWYdfkh0YiqtFl9NP76smznLOxbE1ECHBW18GLcnkMGb72Ksp6BxYRvalnRAS0srwz1KSk1LIL++7UsU++Aq9xYPJDE8EItCVdHS1sbQ0RPXxgOJ8j/BvUX9KTH5NAAXhpTFoWYXnhxfQ1JEMBaFq5P/2xlo6+pnKpsTwk+sxa5KO4yc0tprXRr05e6ifuRpNjRT2cgLOzByKYB1qfoAuDYeyNm+hUl4HICh/fuPTswttNTvOp5cvJWWlhYzu9ejY43i/9k1HdtORE9Hhz6NyzGwueYW+VMqVXh8O51UpYp+TcszSIOxfA7uhERQtt98jhw5QqVK7zeHtBD/1Lt3b5ZtPUCxnz/eHNxHurqjrauHa90fcGvU9+0HaMiDLbN4uPM3VCnJVF6Yfc8fkbWkZ2Gc6l+C7du3U69ePU2HI3K5NWvW0Lp1a9qtvIeeUc6tG/W6pS1c0dbVo3DTXhRt1f/tB2jI5TUzuLpxLqqUZDque/j2A0QmG7uXoXunNkyYMEHToYhcbufOndSrV4+Lo7/C0SLn5hT/J7fBW9DT0aZndU/61cp6FPenYObeW/x64A7JqSoeTJFFTd/XgsN3mbTnHrFx776ekBBZiY2NxdTUlN9aetO4yPut4/I+8v18HD2FNj0qutC3atYjlT4F7Zde58yDaEq6mrLym8yzgYg3W3EujMGb71Js3BEMHTw0Hc47U6Umc3F4RZzq9MChagciL+3hzu8/4Fy/d7aJCF1zW7x7/omWjh7XJzbBsXY37Cu3fWsi4kyvzNMdv+Tefjy25Zpm2n55dE1cGvZPTy6kxERyrl9hSs+5mWk65oAVo0Ctwr3d2PRtl0ZWJ0+zoVgV/+q9740m3ZzYmCYVCrF48eK3lpUREblc6Iphmg4BAIVCm8AlgzQdhhBCQ3JLo75bo76fdKJECJGzckujftFW/T/pRIkQIufllkb9frW8P+lEiRAiZ90fnXnE+adoeceCmg5BaEDsvQuAGscanQGwLlmPUPdibzzGseZ36FmkTZtlWbQWcQ+zXxPkdWXm3nzv+JRJ8She62ClMEz7WZkYmykRoUyKQ8/cLsM2HSNTlInvtuhzbiVrRAghhBBCCCGEEEIIIYT4ZCU/f4yepWOGbXpWTm88Rtf81QgibT1DVIlxHyU2AIW+EcqEV4kEZWJM2nYDkyzKGmdKOqQmxGZZ9nMiIyKEEEIIIYQQQgghhBBCfLJ0LexIfhaWYVty5KOPMr3U6R8yr8v7Ur6Ok7At1yzTdkNnb+If3sC6ZNo0xvEPb6Bn6ZBpNASAkbMXT05tTH+tTIon6Ukghk5eORD9p0tGRAhO3gzCr//vOV5WCCH+jee3TnP2f1VzvKwQQvwbYddPsbHXu63f9D5lhRDi3zp17ymVJ+7P8bJCCPFvnA6MotrsCzleVnx5TD1KAmrCDvyFWplK5MXdxAZc+ijXKvvbnWz/ZZWEALD1a8HjIytICL1LanwUwdtmYVu+VZZlrUrUJf7hDSIu7ESVkkjwlhkY5yn8WS9UDTIiQgB+BfJwcka3HC/7Pn7bdprZm06SkJxKo3I+TPuuLnq6ikzlQiKi+Wbaeu49ikQNFHV3YOK3tfFxTRtq1XLcSk7dfDUfdHKqkvxO1hyf/j0ARX+Yy5PncSi0tQAo7e3ChpFtc7w+Qoh/z8K7LKXHH8rxsu8jePcCgrb/iiolEdtS9fHsNBFtHb0syz67cZQ7S/9HUmQIZh4l8e46AwNrl1f7rx/h/pqxxIfeQ9fEgnxtRmNXJm1+6FuLBvH85nESnzyg6NB1WBQon+N1EULkDIeC5Wg692iOl30f1zfP5+qGOaQmJ5K3fEP8uk9GoZv52RR+6xwXlk8g4t4VtHV0cSlZk7LfjUtfHHzPz214fONUenlVagpmzvlpOvswAKFXj3N28WiiH93HwNyaIi364VWrXY7XRwiRM8p52HBkWI0cL/s+fj90l7kH7pCYoqRBUScmtSiGnk7m/o/JqSp6LDvLhQfPCI1K5MzIWuSxMk7fH5WQzJC1lzl6+wkA1X3smNiiKCYGuhnOM223P1N2+bO+ZwUq5P94C/gKIT5c2bzmHOxTIsfLvo8FJ0L47WgwiSkq6he0YUJDjyyfTQBH7z3nx233CIlKooSLKTObeeJsYQDA7MMPWX42jKjEVMwMdGhfyiF9Ue+7T+IZszuACw9jUKnBL685Yxvkw8FMP8fr86XS1tHDu+dC7v01iAfrxmFRqBqWRWtm+x39v2ZZuBpOX3Xj+uTmqJITsSrVAJdGr9aBuzSyGs71e2Nbrhm6ptZ4/fA7AX+P4M6CXpjmK47n979qMPr/hiQihMbtv3SP2ZtOsvmn9thbGNNhyjqmrDvKj19XzVTWwtiA33s3xt3BEpVKzaI95+k2ezOHp3QFYO2PX2co33D0MioVypth25of21CxoNvHqo4Q4jMRefUQQdt/peiwdeiZ23J9dhcebJ6Be/OhmcqmxERwfc53eH87DeuiNQjYMJmb83tS/MfNAMSF3Obm/J74fDcby4KVSE2IJjU+Ov14E7dC2Fdogf/vPf+r6gkhcqmQCwe4umEOdcZuxNDSjgMTvuHS6mmUbD88U9nkuGh86nXGuVhV1Go1R6b/wNnFP1Gh5zQAao9elaH8zh+b4Fi4IgAqpZIDE76hZMcReH/Vkad3L7FrRFNsvUpg6Vbg41dUCJHrHPR/zNwDd1jfsyJ2pvp0XnSa6Xv8GVbPN8vyfh429KzuSb2ZRzLtm7zTn+dxyZweUQu1GrosPsP0PbcY1ahQepnAp3FsvfwIezODj1YnIUTud+jOM347GszazoWxNdWj64obzDj0kKE1M7cLRcal8P2qm0xt4kkNLyum7H9Az7W32fRdEQAaFrLh23KOmOjrEBadxNd/XcfH3oivClgTk6Sknq8Ns5p7Y6Cjzeid9+m/4Q4rvymU6Triw5nkLUrRn/amv746tgF6xesAYO5TnhKTT6fve/1nANfGA9N//mfZnOL0VTecvsq6A3exMQczvLbwrUzxcZnfAz9nMjXTF+Ly/VCqDF5Ing5T+Gbaer6dvoGJa9J+2Y9df0DRH+amly36w1x+23aaigP/wK3jVLrO3EhSSmqWZXPCqkNX6VizON4uNliYGDKoRUVWHLqSZVljAz3yOVqhpZU2okGhrU3A42dZlg0Kf87Jmw9pU6VwjsYrhMg5MYFXOD+qFse6e3J97vfc+K0bgRunAvD85glODSyTXvbUwDIE717AuRE1ONbDmxvzeqBKScqybE54fHwNjlXbYezkia6xBW6N+xF2bE2WZZ+c34mJawFsS9dHW8+AvE0HERt4lYTHAQAEbZ2JY9UOWBWphpZCB10TKwzt8qYf71zjGyy8y4FW5pFgQoj/3tN7V9jcrzrLWrtzcFIXDk7+josrJwNpowTWflcyveza70pyffN8NvWpwvKvPTg0tRvKF8+mf5bNCXcPrsGrdgcsXL3QN7GgaKsB3D2wKsuyLiWqk9evAbqGJugZmeJVuz3ht85lWTbmcRCPb5zCo1ra8PHkuCiS46LIX60lWlpa2HoWx8LFi+fBd3K0PkKI93Pl4XNqTj2Ix7BtdP3rDN8vOcuUXTcBOH73CaV+2Z1ettQvu/n90F2qTT6A5/BtdF96lqRUZZZlc8Kasw9p75cXL3tTLIz0GFDbh9VngrIsq6ejTdfKHpRws8pyf1BEHHUKO2JqoIuZoS51izhyKywmQ5nh6y8zooEvugqtHK2HEOL9XX0US+1fL+I15iTfr7pJ99X+TDvwAIATAc8pO+1setmy086y4EQINedewGfsSX5Y409SqirLsjlh7cVw2pVywNPOCAtDHfpWzcOai4+zLLvjRgQF7I2pX9AGA11tBlbPw9VHsQREJADgbm2Iif6rPt3aWhAYmQhAcRdTWpewx8JQBwNdbb4p48j5hzFZXkd8uCj/EyRHPUGtTCX82GriQ/yxKFRV02GJdyQjIr4AySlKOkxZR+9G5ehcuyQ7z92m64yNeLnYZHvMxhM3WDeiDfo6OtQZuYTVR67SsUbxt14rb6ep2e6b2rUOLSplzgT7Bz+hYTmf9NeF3OwJjYwhOi4RM+Ose7cU6TGH0MgYVGo1I7IYOQGw6vBV/Aq4ksfOIsP2rjM2olKrKezuwJgONfB1s3trvYQQOU+Vmsz1OV1wrdsDp2odeXpxDzfn9SBPg+wXhQo/vYXCg1agraPHpXGNeXxiHY5V3j5NyLEePtnu8+w4Hnu/zHM8xoXcxqZk/fTXJq6+JD8LJTU+OtNiU/EhtzB2fdXbT6FvhIGdG3EhtzC0dyf63gUMbPNybkR1UmIisfCtRP72Y9A1tnhr7EKI/5YyJZkDE76hUNOe+NTpRNCZXRye2g0L177ZHhNwbDO1f1qDQleP7cMacO/gWrxqt3/rtf5umz/bfeW6TcKjSvNM258F+ePm9+rZZOVekPiIUJLjotEzzrwQ3uvCb57B0tU7y333Dq7B3rccpvZ5ADAws8Kjakvu7FuJd51veHrnArFPgrH3ydmkrxDi3SWnqui8+DQ/VPOkU/m87L4eRvelZ/G0z35hy82XQljVrTx6Oto0mn2Edece0q5c3rdey2v4tmz3TWxRlGYlXTNtvxUWTf0ijumvfZ3MCI1KJDohBTND3Uzl3+Sbivn48+h9mpZIm+Zy++VH1C386txbLoWgp6NNTV8H4PJ7nVsIkbOSU1V0WXGTHhWd6VDakT3+Efyw9haeti7ZHrPl6lP+7lQIPYUWTf64wvpL4bQt5fDWaxUYdzLbfeMbeNC0aOb2nVvhcdQraJ3+uqCDMWHRyUS/mF7pdbfD4/B1eDVNnJGeAjcrA26Hx+NubQjAkjOhjN0dQHyyCjdLAxoXzrpt7WxQNF52Rm+tk3g/CaF3uPN7D5RJ8RjYuuH1wwJ0zbJv3xSfFklEfAHO3QlBrYbv6pYGoGFZH0rkd3rjMd3rl8HBMm3+4DolPbkWkHW2+J8Clwx67/jiEpMxM3o1Z97Ln2MSk7NNRFyZ15v4pBTWHLmKk5VplmVWH77KwOYVMmz7vU9jiro7oAZ+33GGFuNWcmpGt2yvI4T4eKLvXQC1Guea3wJgW6oewfmKvfEYl9pd0bewB8CqWC1ig66/07UqzvN/7/iUiXHoGL16vigMzV5sj82UiFAmxqH3Iq6XdAxNUSbGAZAUGcrjE+soMngl+hYO+P/Rl3srRuPz3az3jksI8XE9uX0e1Gp863cBIK9fA657vrkzhm/D7zGySnsGuJauTUTAtXe6VrsVd987vtTEOPReewa9/DklIfaNiYjHN05xa/dS6k/MunHx7sE1FG01IMO2vBUacXxuf04vHAFAxd4zMbJ+eyOBEOLjOP8gEtTQpVI+AOoXcaJ4Hss3HvN9ZQ/szdO+69Qq6MC1kKh3utbtCQ3eO764pFTMXlvD4WXyITYp9b0TEQWdzEhJVeE7YgdqoKq3HZ0rptU7NjGFCdtvsLqHrKklxKfgQnAMaqBzubR2pnoFbSh24tEbj/nOzwl707R5/Wv5WHE9LO6drnXzR7/3ji8+WYXpawkHU4O0UeixScpMiYi4ZBV2phnXGzA1UBCbpEx/3amMIx1LO3DzcTw7bzzFRD/zqPZ7TxOYvP8B81tn3yFOfBiHap1wqNZJ02GIDyRTM30BQp/F4GSdsbHe2ebNPebsLUzSfzbU1yUuMeWjxAZp0y3FJCSlv375s6nBmxebMdLXpVPN4vT6bRtPojK+aZ26+ZDw57E0KpdxDuNyPq4Y6utipK9L/6YVMDXU5/Tt4ByqiRDifSQ/C0PfyjHDNn2rNydJ9cxf9XBR6BmiTIz/KLEBKAyMSU2ITX+tTIx5sd0ky7LKhIzDbpWJsSgM0nrTaOsZ4FCpNUYOHigMjMnTsA+RV/Z/tNiFEB8uPiIMI+uMzyZjG+c3HmNo+erZpKNvSGriu32Z/hA6BsYkv/a8SY5P+1nXMPOz6aXIwBscmPgtlQf8hkWezCMiHt84RcLzcPKWf9Xw+Dz4DoendaPKwPl0Wh9Cw2l7OLd0LE/vXMq5yggh3svjqEQcLQwzbHP6x+t/sn1tkVRDPQVxSakfJTYAY30dYl47f0xi2s+vT2Pyrr5fchZPexPuTmyA/7h6GOnp8PPmtCTvlN3+tCjlmmFxayGE5jyOTsbRLGP7jZP5m9tzbE1fJScNdbWJS1a+ofS/Y6SnTWzia8+mF0mFrBIIxnraxP7jORmbqMxUVktLC18HY4z1FEw9kHEKutDoJNotucbQmm5UzGeRQ7UQ4vMgIyK+AA4WJoRGZmwgC3kaTX4n62yO+HCu7Sdnu296t3q0zGJqJh8XW64FPqZh2bRM8bXAcBytTN9plIJaDfFJKTyKiMbW/NUH0ZWHr9CgrA8mhm9+80MLUL/1MkKIj0DPwp6kZ2EZtiVFPsLIwSPHr3W0W/bTn3h1mox9+cxTMxk7exH38Dq2peoBEBt0Az1Lx0yjIQCMnL0JP7kh/bUyKZ6E8ECMndMa/IxdC4CWzF8sRG5gZGVPfGTGZ1Pc0xDMnXP+2bSsdd5s95XvMRWPqi0ybbfM48OzgOvk9UtLGkQGXsfI2jHb0RDRoQHs/eVrynQZg2upWlmWuXtgDW7l6mdIZjx/4I+FixdORSsDYJ2vMHY+pQm9egwbz2LvWEMhRE6yMzMgNCohw7ZHzxPwsMs+Efmh8g3dmu2+Ka2K0TyLqZm8Hcy4HhJF/SJpHUtuPIrC0dzgvUdDAFwLiWJyy2IY6aU1WbQuk4exW9NGwh67/YTQqET+Op62FldEbBJdFp9hQG1vvq+S/Wc+IcTHYWeqR1h0coZtj6KS8bB5c6L0Q3iOOZHtvkmN8tMsi6mZvO2MuREWR72CadP33AiLw8FML9NoCAAvO2M2XglPfx2frCTwWWK2UywpVRAYkZj+OjIuha//ukb70g50KO2Y5THi05b49CEXh5bD788QTYfyWZJExBegtJcLajX8ufscnWqWYM+FO1y4+4gqRdxz/FoPlw9572NaVylMn3nbaF6xIPYWJkxbf4y2VYtkWfbkzSB0dRQUy+dIYnIqk9YewdRQD28X2/QyCUkpbDpxk2WDM355D/4/e/cdHkXVBXD4tz3Z9N4LaUDooffeQXpRQfxEehOwASI2pIkgAoooiChIB+m9994hBQIpQHpPNsnufn8sbghJSILBiN73eXxMdu7MnLskNztz5p4bm0xkfApBvq7o9Hp+2HmWpLQs6gY8+ylHQRBeDEu/2qDXE7X/Z1xbDCD+8j5S71zCJrBpmZ+r6ZLSlz9xatSH28sm4Fi/O0orR+5v/QbnJn0LbWsf1JE7a74g7vxObKu15N6WrzH3qoapk2GcdW7Sj/t/zMepYS+UVg5EbF+EbY02xv11udmg0wF6dNpsdNlZSORKJFIxcVEQ/m4OFeuAXs/NHcuo2P4NIs7tJS7kovGGfFkauCa81Pv4tuzLsQXjqNCsJ6bWjlxeOw+/Vv0LbZseF83uj/tQvfe4QtebAMjVZHL3+BZaTfo53+u2PlVIigzh4bUTOFdtREL4DR7dOEXFEqx9IQjCi1HH2xb0sPzYHQY29GbfjUdcvJ9I0wCH4ncupTuzupZ6nz51PBj/+0V6BLnjaKli3p7b9KvnWWR7Ta4W/eOHwrJzdWTlaFHJpUgkEmp4WLPq1D2mdA0kJ1fHurP3CXQ1JFzXjWxCrlZnPE6HeYf5vEc1WlQUa/8JQnmo7WGBHvj59AMG1HFmf3ACl6JSaeprVebnCpla+pJsvWs5MnFTCN2rO+BgruSbQxH0reVUaNuOgXZM33OXnTfiaOlvy7yD96nmYm5cH+K3cw/pGGiHjamcq9HpLD8dzbDGhntKqVm5vPbLNdpUtGV0s4LJWkEoDV2OhjsrJ5F88yjajBRMXf3x7vcJFn51yju0v0QkIv4DlAoZv7zXi3HfbeeTlQdoXcuX9rX9USkKTkMrD21q+TKqawO6TvuVzOwcujWozHu9825ENhy/hAk9G9OnaVUyNDlMXbqLiJgkVEo5NX1cWDu5PybKvB/lHWeDsTJT0bSqV77zpGZl8+7SXYQ/SkSlkFO9ghNrJ/fD2rzss/SCIBRPKldSZcxP3F42kTtrv8C2WivsarZBqlAVv/PfwLZ6S9w7DOfSzF7osrNwqNsFr27jjdvPTm6BZ5exODXqidLSjiqjfyBk5RRufj8KC98gKg9fZGzr0uxVNPGRXPzcsMCsbbVW+L36qXH7lTmvknzbsPDa1a9eA6DGB+uxrixqHwvC302mUNLqw+UcXzSecys+wz2oNe512iL7h4xN7kGtqNpjJDsnd0ObnYV341eo2W+icfum0U0NiYcWvQne9xtpMfc5t+Izzq34zNjmyQTI/dM7UZpZ4VKtSb7zWLr40HjUXE589z7pcVGYWNpStfsI3IJavfA+CoJQOKVcyk//q8fENRf5fOt1WlV2om2gMyr5P+O6rlVlJ0a09KPHwmNk5WjpWtOVCe3y6qM3m7mfcW0DjLMpGn+5j8hEwwyPJjMMJSvPTG2Lp60Z8/sHMWnjFWpM24UEaOhrz/SehofVbM3yz3qXSsBarcDsOUpACYLw1ynlUn58tRLvbg5l+p67tPS3oU2ALUrZP+Ohqpb+Ngxr7Eavn66SlaujSxV7xrfISxS0XHCBMc3d6VnDETszBUv6V+ajbWGMXhdMLQ8LFvUJMLY9EprEzL3hZOXqcDRX8nodZwY/Xhtj5814rkanExaXyYozD4z7HBoThJu1WJdUKB29TovK3oOqH25GaeNC7Mn13FowiKDZZ4wloF9GEr1eLwrTlBGJRML84Z14o/WzFzT8J2gzaTlDOtShX/Nq5R2KUIiQqHjqv/M9R44coWnTsn86XPhvGTNmDCu3HqDmp/vKO5RiXfisM26t/4dT44LlSITyp0l8yKnxQWzfvp1OnTqVdzjCS27t2rX069eP11eHoVRbFL9DOdr6bgcqd34Lv5aFz4oSyt+m4fUYPqg/M2bMKO9QhJfczp076dSpExentS+wHsM/Ucd5h3mrSQX61C165oFQfn44HMqsPWGkpb+4dc2E/4a0tDQsLCxY3Kci3aqX/SyostZlySXerO9K75piptI/0apzD3lvSyg1px/B9AWURv4rIrcv4OH+5eg0GSht3QgYthi1eyUSL+/l/sZZZMXeR2Fhi2uHEcZFq5NvnSBs2Xgcm73Ggz0/IFWZ4f/2ArJiwrm/eQ7o9fi8MRPbmu0AuD67Nxb+9Ui6fpish2FYVmyI7/++RmFuU6A0U256EndXf0zy9cNI5Epc2gzGtf1wAFLDznNn5SQ0sfeQqsxwbTcU1w7DX9h7c3ZsFSpPWI25d+FVZMrLzZnd6N64KsuXLy+2rXhk4D/i2PV7BLjZYWuhZu2Rq9yKiKVVTZ/yDksQhP+4pJsnULv6ozC34dGJDaRH3sKmWovyDksQhP+4B1ePY+3hj8rClrBD60m6fwu3Wi3LOyxBEASOh8YS4GSBjVrJ+vMR3HqYQotKhZcYEQRB+LucuJuEv4MaG1MFGy7HcOtRBi38rMs7LOElk/kglEcHf6H6tN0oLB3IehSGzMTwwJJUZYb/0EWYuviTGnaOm1+/hoVfHcw8qgCgSXyARCqnzrzLRG5bQMjS0djW7kTQrJPEndrE3V8nGRMRADHH1hA4/jdUDp6ELRtP+OqP8R/ybYGYQn96B5WdO7VmnSI3NYEbc/th6uKPTfXWhP8+DdcOw3Fo0JPcjGQ0sRGF9iv21Cbu/jq5yH7XW3izRO+NVpOJiaN3sW3/yUQi4j8iODKOwfM2kZGVjZeTDcsn9sy3uLMgCEJ5yHgQwo3vhqPVZGDq4EXg6KUoLe3LOyxBEP7jkiODOTRnCLmaDCycvGj5wU+YWv/znz4UBOHfL+RRGsNWnCMjOxcvOzN+fLMeDhb/jNJxgiD8d4XEZjJizW0ycrR42ZjwQ/9K2Jsri99REJ4klaHLzSbzQQgKc1tMnf2Mm6wq5ZUttvSvh1WV5qSGnDUmIqQKFa4dRiCRSrGr25XIP+bi3nksUrkSu3qvELZ8AjmpCSgsbAFwbNwHtbuhfKBHj/e5/HFr/AbPzxdOdnIsSTeOUu/bG0gVKmR2bjg1G0D8uW3YVG+NRKYg61E4OWmJKMxtkHsVvi6KQ4MeODTo8dxvi1aTSciPY3HrNBq52vK5j/NPIBIR/xFvta/NW+1rl3cYgiAI+bi2GoRrq0HlHYYgCEI+lTr+j0od/1feYQiCIBTwZuMKvNm4QnmHIQiCkM+gei4MqudS3mEILzlTpwp49/2Y+xtmkvXoDjY12+Pd/xPkaktSQs5yf8MMMqNvo9dp0WVnGZMQAApzWyRSw7okUqVhTQ7F44ccZUpDqUWtJt2YiFDZuhn3Vdm5o9fmkJOakC8eTXwk+lwN58bXNL6m12mxDKgPgO+bc4jYNIeLk5qgdvXDs/cULP3rlel7osvNIfi7oZg6+eD+yvjid/iHE4kIQRAEQRAEQRAEQRAEQRAEoVw5NOqNQ6Pe5KQmELJkBNG7vsOz5weE/jgG1/bDcWz6KlKFilsLBwPPv+yxJiEq39cSmQKFhS2ahGjj6yobF6RKU+ouuG5McjzJ1NmPgBFL0GtzeXhoJSFLRlD7q/MF2sWe2sidXz4oMpb6i0MKfV2v0xH641gkUil+g+cjkUhK08V/pH/GEvbCv9r9mCRs+0wv7zAEQRDIio3g8Juu5R2GIAhCPqmP7rO8m1jMURCEf5b7Cek4j99c3mEIgiDkE5GYhdvUY+UdhvACZD4MJfnWCXS52UiVpkjkSiRSGQDarHTkZtZI5EqSbxwl+frhv3Su2BPryIgORqvJJGLTHGzrdDae609KG2csKzbk3vrpaLPS0et0ZEQHkxZ+2XCMUxvJSUtAIpMjMzEDiaywU+HQoCf1F4cU+V9R7vzyAdnJMQSMWIJE9u+YS/Dv6IUglND1e494/6fdXAuPwdxUyVvtgpjYq0l5hyUIwn9QenQIoSsnkxp+BYWFHb79pmJfuyNgSJicfq8+UpXa2N6z0yi8ur38UzEFQfhnu7HtR0L2/UbivVvU6DueWq++n2/7zR3LuLZpMZrUBKzc/Kj39hc4VS7bKeiCIAhPm7zhMjuuPiAtKxcHCxWjW/vzegNv4/bfToXz7f4QYlKyqO9jx7z+tXC2Mi2/gAVB+M/YciWWrw/eJypZg6O5knk9/anvbUV2ro5R625zITKVhynZnJpQBw8bk/IO9x9Nl5PNvfXTyYwOQSpXYBXYDNf2wwGoMGA699Z8yp1fPsC6emtsarT5S+dyaNSX0GXjyXoQimXFhvi+9XWh7fzfXsC9ddO5OKUZOk0Gps6+ePQ0fD5OunqQ8NXT0OVoMHWqgP/bC/5STE/SxEUSc3QVEoUJZ8dVM77u88YsHBr0LLPz/N1EIkL4Txm24A861Pbjj2kDuB+bTKepK6hewZm2QX7F7ywIglBG9Npcrn/zP1xaDqT6e7+TdOsk1+YPovZne1A7+xrbNV0SWo5RCoLwX2Rm50LQ65MI3reqwLa40MucW/EZHadvwc63Ord3/czBmf+j38/X/hVTxQVB+Of6XxMfpnatiqlSRlhMGj0WHqWGhzVV3aw5HhrLjO03WT+yMT4O5ny06QrDV55j8+im5R22IAj/ckdCE5m+J5zv+lWklpsFj9Ky821v4G3FiCbudP3hcjlF+HIx8wik+kfbC91mX/cV7Ou+Uug2q0qNCJp92vi9ib0HDX+Kytfm6e9NHL2p3rNguaSn95WbWeP75pxCz+s/5NvCO1IGVPbuBWL+NxCJiP+ArzceZ+nOs6RrcnC3t+LHd7oT6OnI7vMhfLH6EPceJWFrYcrYbg2NC1ofu36PUYu28kbrmizedgYzEwXfj+nGnYcJzPj9MHrg66Ed6VAnAICu01bSoLIHBy/dISQ6gSZVPFk4sis2FgWfQklKy2TS8r0cuHwHpVzGsM51Gd21AQBng6N4d+lO7j5KxNxEyYgu9RnzSoMyey/uxyTRu2lVZDIpFZxtqF/Jg5sRsSIRIQh/k3tbFxC9bxlaTQYqOzcCR3yHmXsl4i/t5e6GWWTF3kNhbotHp5HGRayTbp7g1o/v4NL8dSJ3/4DMRE2lod+S+egu4RvnAHr8B83CvlY7AC7N6IVVQH0Srx0i42EY1pUaUnHwPBTmNgXiyUlPIuy3j0m4dgipXIlb27fx6Gh44iIl9Dwhv3xIZsw9ZCZmuLcfikfHEWXyPmQ8CCU7JRb39kORSCTYBDbByr8uj45voEKv94s/gCAIZeryuvnc3P4juVkZmDm40+LdJdh4VSbi7B7O//olqQ/vYWJpR7Weo4yLWD+4epxjC8YS0HYA1//4HrmJGc3GLyLlwV0u/jYTvV5Po5Ff4VmvPQA7p3THKbABURcPkhwVinPVxjQd+w0qi4JjkyYtidNLpxB18SAyhYrArkOo2n0kADG3z3Hyu/dJfRiO3MSMKt2GU63HqDJ7L7wadgYg/MTWAtvSYu5j7VERe78aAPi27MvJ7z9AkxKPiZV9mcUgCILBN3tv89PRO2Rka3GzMeX7N+pS2cWSPdcfMnPHDe7FZ2BrpmRUK3/jAtbHQ2MZt+oCAxp6s+RQKGqVnIWv1+ZuXDqzd95Er4c5fWrQrqphUdkeC4/SwMeOg7djCItJo5GfPfP7B2FjpiwQT1JGNh9tusqhWzGo5FLebubDiJb+AJwPT+CD9ZcJj0vHTCVnWAtfRj7eVhb8nSyMX/+Z97wXn0FVN2v2Xn9Et1puVHKxBGBCu4rU/GQ34XHpeNublVkMgiAYLDgcwfJT0WTk6HCzUrG4b0UqOZmx93YCs/aGcz9Rg61azoim7sYFrE/cTWL8xhBeq+3MDyeiMFPKWNA7gPD4TObsv48emPmKL+0q2QHQ+6cr1POy4nBoImFxmTSsYMXXPfyxUSsKxJOUmcvH28M4HJqEUi5lcEMXhjd2B+B8RAqT/gjjXmIWZkoZQxu5MryJe5m9F18duM/4lh7U9jCMPy6WKuM2QyyiLLAgPEkkIv7lgqPiWLbnPIdmv42jtRmh0QlYqA0fKs1MlPwwrjsV3ew5czuS3tNXU6+iO1W9nQCIjk9BLpNy+8d3mLvxGEMXbKZr/UpcXDSa9ceuMXHpLmMiAmDVgcus++hVvBytGb14Gx8u38OSsd0KxDRy4VY8HKy4tGgU8SkZ9Ph8FRXd7Gkb5Mfkn/cw+pUG9GlaleT0LO7FJBXar/VHr/Huj7uK7Hf4incLfX1Y57qsOXyVyf2bE/4oiXMhUYzv0aikb6cgCH9BRnQIDw6uoPane1BYOZD5MAyZqeGiUqYyo/LwRahd/EkJPcuVr17D0q8O5p5VANAkPkAik9FowWXubf2GW0tGYV+7M/W/OkXMyU2E/DLJmIgAeHj0d6q/uwoTB09u/zie0N+mUnnYwgIx3V46DpWdO/W/Ok1OajxXZvdH7eqPXY3WhK6ahnuHETg16kluejKZcfcL7dejkxsJ+WVykf1u8t2tEr0/evSkR+Vve3K8ITlsW7UZPv2mojC3LdGxBEEouaTIEG7t/JlX5u3H1NqRlKgwFGrD2CQ3MaP5xO+xdg8g5tYZ9nzSH8dKdbGtUBWA9LhoJDIZ/Vdc5/K6eRyeOwLvRl3o/cM57hzZyMnv3zcmIgBC9q2i3SdrMHfy5NiCcZxaOpnmE74rENPR+WMwd3Snz9LzZKXEs/vj3li5B+BRpw1nfpxK1e4j8W3RG01aMmkxhY9NYYc3cGpJ0Yvivb6q9DOu3Gq15Mr6BcTePo+dX01C9q3GzreGSEIIwgsQ8iiVFSfC2fduSxwsVITFpmGhMtyAM1PJWDygDgFOFpwNT6D/khPU9balipsVAA+Ss5BJJVz9rCPz9wYz6tfzdK7uwpmP2rHxQgQfrL9sTEQArD5zn9XDGuFpq+ad1Rf4aNMVFg2oUyCmsasu4G5jytmp7YhP19D3u+P4O1nQJtCZqZuvMqKlH71qe5Ccmc39+IxC+7XxfAQfri/6yeDgGV2K3DZ923V+PHKHzBwt1d2taVkpb20dvV7/xNeG/996kCISEYJQxkJjM/jlzAN2j6yFg7mCsLhMLEwMtxbNlFIW9amIv4OacxEpvLbiOnU8LKjiYg7AgxQNcqmEyx/UZ8HhCEavu02nKvacnFCHTVdimbQ1zJiIAFhz4RG/DaqCp40J4zeG8PH2O3zbp2KBmN7ZEIy7tYpTE+uQkJ5Dv5+v4e+gpnWALdN23GV4Ezd61nAkOTOXiMSsQvu16XIMk7eFFdnvm1MaFnhNq9NzJTqNdpVsaTzvHJpcHR0D7ZjSrgImCrEkryAURiQi/uXkUinZOVqCo+Kws1Tj75Y3qDep4mX8ukFlD1pWr8CpWxHGRISJQs6YVxoilUro3jCQWWuPMqFnY5QKGT0aBTJ68TbiUzKwszTUMH+1RXUCPQ0fBqf0b07jCT+weFTXfPHEJKVx6Mpd7q6YiEohx93Bijfa1GLzyZu0DfJDIZNx52ECiamZ2FiYUr2Cc6H96t20Kr2bVi31+9Gmlh8jv/2DhVtPodXpmdK/OTV8XIrfURCEv0wik6PLySb9QQjWFraoXfJmIllXzksIWgXUx6Zqc5KDzxgTEVKFCo+OI5FIpTjUe4V7m+fi2XUsUrkSh/qvcPun8eSkxqOwMIxxzk36YuZeCQDvXu9zbkorKg35Jl882cmxJF4/SuPFN5EqVMjs3HFp8TqxZ7diV6M1ErmczJi75KQlojC3wcKsGoVxatgTp4alq9Fo6uyLwtyGyJ3f4dZuCEm3jpN865TxfVBY2BI0bSfmnlXISUskZOVkbv0wjmoTVpbqPIIgFE8qk6HLzSY5IgQTSzus3PPGJpdqjY1fOwU2wLVmcx7dOG1MRMiUKqr1GI1EKqVC425cWj2H6r3HIVMoqdCkG8cWjCUrJR4TS8PY5NeqPzZelQEIen0Sm8c2o+m4/EnSzKQYoi8f5vVVIcgUKswd3AloN5Dw43/gUacNUrmclId30aQmorKwQWVe+Njk27wXvs17lel7JTcxw6thZ7ZP6gp6PUpzazp8tq5MzyEIgoFcKkGTqyX4USq2Zkr8HPNmBDT2czB+Xd/HjhYVHTl9N96YiFDJpYxq6Y9UKuGVWm58tfsWY9tURCmX0q2mO++svkh8mgY7c8OTu/3qelL58WyCDzsF0mL2fha8VjtfPLGpWRwJjuH2l51RyWW4K9UMaOjN1svRtAl0RiGVcjc2ncT0bGzMlFRzLzijAqBnbQ961vZ4rvdkSpcqTOoUyIX7iRwLiUUhM9zoa1XJkeErzzGgoTcV7M35es9tJBLIzNE+13kEQSiaTCohW6snJDYDW7UVfg55a9o1qmBt/LqelxXN/aw5ez/FmIhQyaWMaOKGVCqha1V75h68z9hm7ijlUl6pZs+ETSEkpOdga2ZIuvap5UglJ0My8f02XrReeIH5vfIehgWITcvmaFgSN6Y0QCWX4mYtY0AdZ7Zdi6N1gC0KmYTw+CwSM3KwUSuwMjUvtF89ajjSo4ZjoduKEpuWTY5Wz/br8Wx8uzoKqYT/rbrBwiMRvNvaq/gDCOWmyvvryzuE/yyRiPiX83Gx5fM32vD5qkOEPUigY11/vhzUFkszE07diuDzVQe5FRFHrlZHVnYOVSs4Gfe1tVQjlRrmvZoqDT8qDlaGPwKmj5/GSc/KNiYi3B2sjPt6OFiRo9URn5r/SZiI2GQ0ublUfHu+8TWdTk+DyoYPo98M78yXaw5Te8xiAtzt+eT1VsZtf1ViaiZ9p//O3CEd6NEokPuxyfSfsYZKHg50rlcwqy4IQtkydaqAb/9p3F0/k8yHd7APaofvq58iV1uSHHKGu+tmkB4VjF6Xiy47y5iEAFCY2yKRGi42ZQrDAl9KS8MTuDKloQScNivDmIhQ2bkZ9zWxc0evzSEnNSFfPFnxkehyNZwYWyPvRb0Wq4D6AFT831eEb5zDmQ8ao3bxw6fvFOO2v0oqV1Bl7DJCf/2I+9sXYVGhOg71uiKVGy7aZSZmWFQwxKW0csB/wHROjq+FVpOB7IkFrAVB+OssXXyo+79POP/rdFKi7+BZrwP1Bn+O0sySRzdPc/6X6SRF3EanzUWbnYWtT96DECaWdnljk9IwNplaG24QylWGsSknM92YiDBzyBubzB3d0eXmoEmNzxdPWkwk2hwNvw/KGwN1Wi1OVQylKhuPmseFVTNZP7w+1u7+1Bk0FafAsitj+Swhe38j9MAaei46jrmjJ3ePbWbv5wPoufg4ChPx1LEglKUKDuZ88kpVZmy/wZ3YNNpXdeGz7tWwNFVw5k48X26/we2HKeTq9GTlaKnimnctZmumNF7H/flUroOFIelgqpQBkJ6dix2G19xs8srputuakqPVk5CuyRdPREImmlwd1abuNL6m1RsSIQBz+9dk1o6bNPxyL/6OFnzUtYpxW1mSSiXU8bZlw/kIVhy/y9vNfGlW0ZF3O1Ri8PIzpGblMrS5L+YqOS5WYlFYQShrFexM+bhDBWbuu8eduEzaV7blk44+WJrIOXsvhRl7w7kdk4FWpycrV0cV57wb/7ZqRYGxyd7ccP1jqvhzbNIaExFu1nlljtytVYaxKSMnXzyRSRo0Wh01Z+WtD6DVQX0vQ3J1Tjc/5uy/T5P55/FzMGVKO2/qeVlRFkwex/y/Bi44WRj6MbSRG4uORopEhCAUQSQi/gP6Na9Gv+bViE/J4O35m/j2j1NMebUFwxdsYfQrDRjYuiYqhZyBs9fxxIzWUouMTc77Oi4FhUyKnYWaqPgU4+uudpaolQruLJ9o/AP0JH83O5ZP6EmuVsfyPecZPH8T15eMLdBu3dFrTFiyo8hYIn4tWGM9PCYRpVxmnElRwdmGdrX9OHTlrkhECMLfxKlxb5wa9yYnNZ4b340gYud3VOj1AbeWjMG9w3CqN38NqULFtQVv8VcGJE183qJOWfFRSGQKFBa2aOKjja+rbFyQKk1pvOiG8Ubik9QufgSOWoJem0v0wV+48d1IGs47X6DdoxMbCV5R9LoORS04be4RSM1JG43fX/yiK06N+xZ+ELEIrCC8UH4t++LXsi9ZKfEcmjOUq5sWUXvAJI58PYqq3UcQ0G4AMoWK/V8O+ktjU3ps3tiUFhuFVK5AZWFHribvdTM7V+QqU177NbjQscnK3Y+W7/+ITpvLrV0rOPTVMPotK1jmJOzQek58V3ipSoCBa8JLHX/83Wt41muPpYuhFr1v816cXjqFpIhgHPxrlfp4giA8W5+6nvSp60l8mobhv5xj8cEQPuwUyKjfzjOipR+vN2iESi7jf8tOo+f5x6aoxMx8XytkEmzNVEQl5T1U5mptgqlCxq3pnQu9jvNztGDpm/XI1epYcSKc4b+c5eInHQq023A+gvfWXioyljuzuha57UlanZ67cenG799q4sNbTXwACItJY97e28Y1IwRBKFu9azrSu6YjCek5jFh7i++ORfFBGy/GrL/N8CZuvFrbGZVcyuBVN/7a2JSUlxCNStYYxia1gujkvNddLJWYKqRcn9Sg8LHJQc2S/pXI1epZefYBI9be5vx79Qq023g5hg/+KLpsZcjUgiW9rU3luFgqefKs4qrt7xOxZS6auAj8Bs8v71AAODnYDanSFLdOo3DvOv6Fnivs53eJPbUJpaV9vkW6XwYiEfEvFxIVz6OkNOoFuGOqUqCUy4yDc3pWDjbmpijlMg5fvcvBK3ep4u1UzBGLtvrwVXo3rYqnozVf/n6YVxpURibLfwHtYmtB4ypefPLrAd7v0xS1SkFwVByZ2TnU8nVl3dFrtK7pg62FGnNTFbJC/pAA9GlalT6lLM3k62JHdq6WTSdu0L1hZSLjUthzPpQRXQr+ERIEoexlPAglOykGS/86SJWmSOUq4002rSYdhbk1ErmSxBtHSbx2GHOPwOc+18Pj63Bs2BMTe3fCN87GoW5nJFJZvjYqG2esKzXiztov8O4+EanSlIwHoeiyM7GoUINHJzZiW70FCnNbZCbmhd4QBHBq1BOnRqUrzQSQFnEDtZMPer2O6P0/k50Ug3MTQyIiJewCcrUlpk4+5GYkEfrbR1gHNhGzIQThBUiODCUj8RGOleoiV5kiU6iQPv59z8lKR2Vhg1SuJPryEaIvHca2QpVijli00INr8G3eC3MnDy7+NhPvRl2RyvKPTWo7Z5yrNubcis+o2f9d5Co1yZEh5GoysfevSdih9bgFtcLE0haFqVmBse1Pvi1649uid6lj1Glz0Wlz0eu06LRacrOzkMrkSGVy7P1qcnXjt1TuPBgzB3fCj/+BNjvLmJgQBKHshMak8igli7redpgqZSjlUqSPH0xI1+Rio1ailEk5GhzLodsxBLo+/033tWfv07O2Ox62ambtvEmXGm4FrsOcrUxp5GfP59uu8277SpgqZITEpJKZraWmpw0bzkfQspITtmZKzFXyQm8IAvSq7UGvUpZmysjO5Y9LUXSu7oqZUs6JsDg2no/k29eDAMjK0XI3Lp1KzhZEJWXy7tqLDGnmi7W68PJQgiA8v9DYDGLSsqnjYYmpQopSLkX2+Nc9PVuLtakCpUzC0bAkDocmEej8/DMm112KoWcNRzysVczZd4/OgfYFxyZLFQ29rZi+J5wJLT0xVUgJjcskM0dLDTcLNl6OoYW/DbZqBWYqGbIiHvDqWcORnqUszQTQL8iJ5acf0NLfBrlMytKT0bQJyFvXT5OrMz7DosnVkZWjQyWXIBEPmv0r1fj8ICb2eX/jkm8c5c5vU8hOiMLcJwi/t+bnq95QlNSw89zfOIv0+9eQyhVYV2uF96ufIX+8xqbvm19h36AnYctebMLjRRCJiH+57NxcPlm5n+CoeBRyGS2qV2D0K4bp+7Pfbs9HK/Yx/ocdtAvyo12QXzFHe7bXWlRn9KKtBEfH0yTQi4WjCl9o7PsxrzDt1wPUH/cd6Zoc/Fzt+OjVFgDsuxjG5OV70eTk4uNiw/djCi52/bws1Sp+ntiTT387wLjvt2NuoqRn4yoMbFWzzM4hCELRdLnZ3Fn7BRkPQpDIlNhUaYp7hxEA+A38krDVnxL88wfY1miNXc02f+lczk36cvvHd8h4EIp1pYZUfHteoe0qDV3AnTVfcObDpmg1GahdfKnQy7C4a8LVA4St/hhdjgZTpwpUGvrtX4rpaY+Or+fhkdXotDlYV2xA9ffXIFUYph9nxd7j7vqZZKfEITe1wKZqcyoPW1Sm5xcEwUCbq+Hcis9IighGplDiWqM5VbuPAqDhsJmcWfYxJxa/i3udtrjXafuXzuXXqj9HF4wlOTIE56qNaTL2m0LbNRu/iHM/f8bGkY3I1WRg6epH7QGTAIi8sJ/TP001JABcfWg2vmzHhstrv+bS718Zv7+ybh41+79LrVffx69VP1Kiw9j+YRdyMlIxd/KkxftLUZlbl2kMgiBAdq6Oz7deJ+RRGkqZhGYVHRnZ0nC9NqNXDT7ZcpX31l6iTaATbQMLX1evpPrV82Tc6guEPkqjkZ89818NKrTdwtdr8/nW6zSesY8MTS6+jhZM6mRY9+bAzUdM3XQVTa4OH3szFr5eu9BjPA8JEjaci2Ta5mvk6vS4WZsytWsVOlZzBUCTq2XkynOEx6djoZLzan0v3u9YuczOLwhCnmytnum7wwmJNcyeauZrzfAmhhur07v48umuu3zwRyitA2xoU9G2mKM9W99aTozfGExoXCYNva34uqd/oe0W9K7I9N13afbNeTJytPjam/J+G28ADgYnMm3HHTS5eirYmbCgd0Chx3he77TwICEjh6bfnEcll/JKVXtGNXM3bm/2zXkiH8/saL7gAgCnJtTBw0aUjvu3y0lN4Pbiofi++RU2NVpzf9McQn4YRdVJm4vdNzcjBedWb2JdpTl6vY7QpWO4t/ZzfAfNfvGBv2ASvf6vFOMRniSRSJg/vBNvtP7vTU3vOm0lr7aozmstaxTfWChWSFQ89d/5niNHjtC0adPyDkd4yY0ZM4aVWw9Q89N95R3K3+LSjF44N+mLc9N+5R3Kv44m8SGnxgexfft2OnXqVN7hCC+5tWvX0q9fP15fHYZSbVH8Di+5nVO649eqP/6t+5d3KP9Km4bXY/ig/syYMaO8QxFecjt37qRTp05cnNYeF2vT4nd4yfVYeJR+9TzpX0/UM38Rfjgcyqw9YaSlZxTfWBCeIS0tDQsLCxb3qUi36g7F7/CS6/3TFfrUcqJf0PNX7RCKturcQ97bEkrN6UcwdfYttziidiwi/f41AoZ/Z3wt9Kd3UNl74tFtAlHbv+XRkd/ISU3AxNGbCq99juXjdRufLM2UfOsEYcvG5ytTdOH9+vi+NQ+rSo3Q63REbV9AzLHf0WalY1urPd6vfo5MVXZ/508OdqPWrFPGGRGPDv9K7MmNVP3QUI5Zq8ng7Lhq1Ph0H6ZOpZtNnHBpD/c3zqLmZ/uNrxXW5/Jyc2Y3ujeuyvLly4ttK2ZECIIgCIIgCIIgCIIgCIIgCH8b+3rdiNz2DVpNBjKVGl1OFgkXd1FtqmFNWBOnClSd/AcKCzse7l9O8PcjCJp10lhJoKQe7F1K0vXDVJ20BZmpJaE/jiXyj7l49fmoQNvYU5u4++vkIo9Vb+HNEp0zIyoYsyfKTctUakwcvMiMDi51IiI19Bxq17KdzVNeRCJCEARBEARBEARBEARBEARB+Nuo7N0x86hM4qU92NfvTuKVA5g4VsDUyQcAuzp5Jd9d2r5NxB9fkxUTjtqtYqnOE3N0FT4DZ6G0Nsywces8muDvhhWaiHBo0AOHBj3+Qq8MtJp0lFb51x2Rqy3QZqWV6jgpIWd4dPjXEpV0ehmIRIRQJrZ+OrC8QxAEQQCg5qQN5R2CIAhCAR2nby7vEARBEArYNFqUgRUE4Z9n/eDq5R2C8Dexq9eduDNbsK/fnfgzW7Cvn7dWbMzR34ne8wPZidGABG1WKjlpCaU+hyY+klsLBoFE+vgVPXqdtmw6UASZyqxA0iE3Mw2ZiXmJj5EeeZPgxUPwf3uBmBEhCIIgCIIgCIIgCIIgCIIgCM/Drk4X7q+fjiYhisSrB/DqNw2ArLgI7vw2hSrvrcW8Qi0kUilnxgRCIUsdy1RqtNmZxu/1Oi05qfHG75U2Lvi9vQALn6Bi44k9tZE7v3xQ5Pb6i0NK1C+1WwCxpzYZv9dqMtDEhmNawoRCVkw4t+YPwKvfJ9jUaFOifV4G0uKbCP8lM9ceYdTCreUdhpFtn+m4D5jNnPVHX/i55qw/ivuA2dj2mf7CzyUIwrOFb/qKW0vfKe8wjA6/6crRob7c2zKvvEPhzIdNODLY6x/1/gjCf8XF1bM5+s2Y8g7DaHk3R1b29ebSmrnlGodOq2VlP29+7unKxdWzyzUWQfivmrPrJmNXnS/vMIycx2+mwgdb+XrPrXKN415cOj4fbMV1wmZ+P3OvXGMRhP+iuQfu8c7G4PIOw8ht6jH8PjvBvIP3yzUOrU6P/+cn8Jp2nLkH/ttjk9LKAQu/uoQtm4CZV3VUtq4A6DQZSCSgsLADvY6oHYvQZqYWegwTJx90mgySrh1Cl5tD5NZv0OVmG7c7NRtAxKbZaBKiAchOfEjStUOFHsuhQU/qLw4p8r+Ssg3qSEbEDeIv7ESXk0XkH/Mw86xmXB8iYstcrs/uXei+moRobsztj1unMWVSJuqfRMyIEP7xTnw9FE9Ha+P3GZocPv5lH5tP3iQnV0dVb0e2f/ZGsccJiYrn45X7OBccjU6vp3GgJ7MGt8fF1gKA93o3pV+zatQctehFdUUQhJdY3emHMHHwAAwfDK4vHErmozug12PuVQ2/AV9g5laypxviLu7h7voZZMVFYO5RmYD/zTXu+/DoGqL2/UTmo3DkZla4tnwDzy55Nz7rzTxG+KavyIqLLPtOCoLw0un+7REsnDwBSI+L5uCswSRHh4Fej51vdRoM+RJrz5LV0T2+cAIPrh4l9eE9OnyxCZdqjY3bQvb/zvGF7yBTmhhfa/PRb7hUa4xUJmPgmvB/VJJGEITyd/iDVnjamgEQnZTJ2z+f4U5sGno9VHO3YnrP6lR0tgQMiZRv9gajlOc9K3nwvVZ42ZuV+HzZuTpazzlAZo6Wcx+3B8DL3ow7s7rSY+GLf7BNEISXw8ExQXjY5H2eyczW8tnuu2y9FkeuVk+gsxkb3zaUhtLr9Xy5J5xV5x8BMKCOMx+29UIikRR7nuN3kph74D5XotOo6Waer9yUTCohZGqjf1SSpjzZ1+9O2PIJVBg4w/ia2q0izq3e4spnHZEqVDi3ecuYpHiaXG1JhdenE7psPHqdFrcOI1HZuBi3u7Qbgl6v4/qcPuSmxKGwdsK5xRtYV23xwvqksLAjYOQS7v72ESE/jMbCpxb+Q/PuN2YnPsDCr06h+8Yc/R1NXAT31k/n3vq8h6VLkwj5pxKJCOGlM37JDrQ6HafnD8fazISr4Y9KtF9KRhZd6lfiu9GvYKJUMPnnPYxatJWNU197wRELgvBvIzezpvKwbzFx9Aa9jugDK7i1ZBS1P9tb7L4ZD+9wa8loqk1YiaVvbSJ2fse1b96k3owjSGRydDka/AZMx6JCTTQJUVyZ8yoqOzecGvZ88R0TBOGlpjS3otmERVg4V0Cv03Fr188c/noE3eYfKNH+tj5V8W3Zh8NzRxS63SmwgVjrQhCE52JlqmDR67XxtjdDp4efj99l1K/n2fduS2ObnrXdWfBa7ec+x+KDIdiZq4hMzCiLkAVB+I94f0soWr2eI2NrY2Uq5/qDdOO2X889ZO/tBPaNrgXAqz9fw8vWhNfqOBd7XLVSxsC6ztxLzOJYWNKLCv9fwbFJPxyb9CvwulefKXj1mWL83r3zWOPXHt0mPvMYrh2GG7+WSGW4dRyJW8eRZRl2PhK5iiuftMW1wwjcu4wDwDqwGbWmHym0ffr9a1SesKrQbR7dJuDRbUKR5wr75X3iT29B8dRi2C8DUZrpX+ibzScYPG9TvtdGLdzKrHWGH/55m45Tc+RCPAfOofl7P3LyZuFT0o5dv0eNkQvzvVZj5EKOXTdMG9Pp9Hy14Rg1Ry7E/615jP1uGxmanBfQozzBUXHsPBfM10M7YWepRiaTUtPXpfgdgdr+brzesgbW5qaYKOW83b4O54KjXmi8gvBfdn/7Qm4sHp7vtVtL3yF8s6GEyP1t33L63focG+7P+Y/bknT7dKHHSbp5glMT6+V77dTEeiTdPAGAXqfj3h/zOf1ufU6MqcrtZRPRal7sBahMpcbUqYLxSRiJVEZmTMmm1CZeO4R1pYZYBdRHIpPj0WmUYWro7ZMAuLZ6Ayv/ukjlCkwdvbEP6kBK6D+n1IIgvOyubFjAoTlD87129JsxXPx9jmH7+m9YN6QOK/tVYMs7rXh4/VShx3lw9TjrhuS/YbZuSG0eXD0OGMamS2u/Zt2QOqwaWJlj344n9wWPTQoTMyxdfIxjk1QqJfVheIn3r9zpLZyrNEQqk72gCAVBeJZv9wcz7Jez+V4bu+o8X+0ylDdasC+Yup/vwffDbbT56iCnwuIKPc7x0FjqfLY732t1PtvN8dBYwHAdN2/Pbep+vofAj3Yw4feLZGTnvoAe5TFTyangYG4cn2RSCeFx6cXsVXL34tPZcC6CMW3+HYt5CsI/yaIjkYxYk7/M2jsbg/n6gOFe0reHI2gw9ywBn5+k3aKLnA5PLvQ4J+4mUX9u/jGu/tyznLibBBjGpvmH7tNg7lmqzTjFu5tDyMx+sQsKh8ZmsOd2ArNe8cPWTIFMKqG6W95iwusuxjC8sRsulipcLFUMa+zG2osxJTp2LXcLetRwxMVS9aLCF/5BGiy5Q72Ft4xJiOJU/3gXCnPb5zqX7xuzqbfoNrW+fPlm+4kZEf9CPRtXYe6G46RnZWNmoiQrO5dtZ25zYNZbAPg427J7+pvYW6pZuuscg+dt4uKiUagUpftx+G77GQ5cusOu6YOwVJsw/NstzFp7hE8Hti7Qdv3Ra7z7464ijxW+4t0SnfNCaDQe9lbMXHuEtUeu4mRtzqR+zehSv1KpYgc4fTuCih72pd5PEISScazfnftbv0GryUCmUqPLziLuwk6Cpu0EwNSpArU+2orC0o6ofcu5+d1w6s85hVRRug9qkXuWknDtEDU/+gO5qQW3fhhL+Oa5+PabWqDto5MbCfllcpHHavJd6eoYn5pYF03iQ9DrqNDrwxLvp8+3wJYevV5PeuRtbAKbFmibHHIW5yZ9SxWXIAhF82nag8tr55GTlY7CxIzc7CzundpB17mGGU2WLj50nr0dE0t7bu74iUNzhtBn6TlkpRybrm9dQvTFg3SetR2lmQVH5o3i4uo51H1zWoG2YYc3cGpJ0Yvivb4qtFTnXvt2EBnxD9DrddQeUPSYV1pxIZdYNaASKgtr/Fr2o1qvsSJpIQhlqHstd+bvDSZdk4uZSk5WjpadVx+we0ILACrYm7F9XDPszFUsO3qHYb+c48zUtqjkpfs9/OFIGIduxbBtbDMsTOWM+c2Q7Pj4laoF2m48H8GH6y8XeazgGV1Kde7an+3mYXIWOr2eSZ0C823befUBlaZsx8nShMFNfXijUYUSH3fKxitM6hyIiUI8aykIZa1bdXu+ORxBRrYWtVJGVo6OXTfi2TGiJgAV7Ez5Y2gN7MwULD8dzYi1tzk5oQ4qeel+H5eejOZwaBJbhtbAUiVj7IZg5h68z0ftC44Fmy7HMHlbWJHHujmlYYnOeTEyFXcrFV8duM+GyzE4mSt5t7UnHQMN94qCYzIIdM5LTAQ6mxEcU3ZJVEH4rxGJiH8hDwcrAr0c2XUuhF5NqrD3Yii+Ljb4uhgybd0aVja2Hd65HrPWHeXOw0QqeziU6jy/7L/IvKGdcLYxrLEwvkcj/jd3Y6GJiN5Nq9K7acEPtqUVHZ/KzYhYujaoxI0l4zgbHMmrM9dSycMBP1e7Eh8nNDqe6b8fZtl4UepEEF4UE3t3zNwrE39xN44NehB/5QCmThVQO/sA4FA378LVvd3b3Ns8l8yYcMzcSlbL/E8PD/+G/5uzUVk7AeDZZQw3Fg0tNBHh1LBnmZY4ajD3LFpNBo9ObMhXg/JZbAKbcmfdlyTdPIGlfx0iti9Cr81Gl51ZoO39HYvQZqXi1KRPmcUsCP915o4e2HoHEnFmNz7NehJ5fh+WLj5YuRrGJu/GXY1tq3QdyqXVc0h5cBcbz9I99BC851cajfwKta1hbKreaxwHZ79daCLCt3kvfJv3+gu9yq/vjxfI1WQQenAdZvaF19ItLecqDej+7WHMHTxIvH+LQ3OGIpUrqNZzdJkcXxAE8LBVE+hiyZ7rD+kR5M7+m4+oYG+Oj4PhJljXmm7GtkOa+/LV7lvcjU2nkotlqc7z28lwZvetiZOVoUb6mNYBDFlxttBERM/aHvSs7fEXepXf+Y/bk5Gdy/pzEbhYmRpff6WmGwMbeuNgYcKFewkMXn4Ga7WSV57oc1F2XIlGq9PTqbqrcdaHIAhlx93ahMrOavbcSqB7dQcOBCdQwc4UHzvD73CXqnkPeL7d0I2vD9wnPD6Tik4lX+MFYNW5h8zq5oeThRKA0c3cGfb7rUITET1qONKjxl8vS/MgJZtbMRl0qmLHhffqcT4ilUG/3iDA0Qxfe1PSs7VYmOQley1M5KS94FkagvBvJhIR/1K9Ggey8fh1ejWpwsbjN+jZpIpx268HLrF42xmi4lKQSCA1U0NCSulLBUTGJtN/5hqkj6fX6vWg0+nKrA+FMVHKUcikvNurCXKZlMZVvGhcxZNDV+6WOBERHZ9C7y9W89GrLWhWzfuFxisI/3WODboTc3oLjg16EHt6C471uxu3PTiymsjdP6BJiAYkaLNSyUlNKPU5suIjuTbvDZD8+cSNHr3u7/twKFOpcWkxgJNjq1Nn+kGUls+eaaV29afS2/MJ+XUK2ckxODXsido1oEAi49Hx9UTtXUbNyZuQKU2LOJogCM+jQrOe3Dm6GZ9mPbl7dDM+zXoYtwXvW8X1Ld+THheFRCIhOyMVTUrpx6a0mEj2ff46EqlhbNLr/96xSa5SU7H9G/w+qArdFxzG1Lp0D5w8zcLZ2/i1rXcgNftN5PofS0QiQhDKWPcgdzZfjKRHkDubL0TSIyjvRvyq0/dYciiU6KRMJECqJpeE9OxSnyMyMZOBS08hfbzWqh7Q6vTP3KcsqZVyBjb0purHOzn0fmscLFTGRasB6lawY0gzX7Zdji42EZGuyeXzrdf5bWjJnn4WBOH5dK/mwJarsXSv7sCWq3F0q553zfP7+Yf8cCKa6GSN4R6TRktCRunLvUUmaxj06428sUkPWv2LHZtMFFIUMgnjmnsil0loWMGKhhUsORqWiK+9KWZKGWmavM9vaVlazJViNqggPC+RiPiX6tawMp/+dpDIuBT2XQjli0FtALgfk8T7P+5myycDqO3nilQqocKbcylsaFerFGQ+seaDVqsj/omEhaudJd+NeYU6/sU/pbLu6DUmLNlR5PaIX98vUb+qeBXMeEuQlGhfgPiUDHp+vpo32wbxZtugEu8nCMLzcajblTtrp5MVH0X8lf34vmp4EjgrNoLQlVOo8cE6LHxqIZFKOT6ysuHT5lOkKnW+2QJ6nZac1Hjj9yobVyoNXYClb/G/049ObCR4RdHjTdMlpSt/kheUHq0mA01CdLGJCDDMBvlzRkhuejIPjqzGokIN4/a4C7sIW/M5NT5Yi6mD5/PFJAhCkSo07sr5FZ+TFhtF5Pl91HvrMwBSH93n1JIP6fDFRhz8g5BIpfz2mv9T5dQM5CZqcjV5Y5NOqyUrOW9sMrN3odk7i3CoWPzCq2GH1nPiu6LLVA5cE16K3j1Bryc3K4P0+Ad/ORFRgEQChX6CFAThr3ilpitfbLtOVGIG+28+4tPu1QC4n5DO5A2X2TCyCbU8bZBKJVScvB19Ib+HaqWczJy8G2danZ74JxIWLtYmLHy9NkFexdem3nA+gvfWXipy+51ZXYvc9ix6PWRka3mQlImDRSGl7yRPl7Is3N24NCISMuj2raFOdo5WR0pmDtU+3sm+iS2Nsz4EQfhrulS1Z/qecKKSNRwISWBaR8MshYjELKZsu8Pat6pSy80CqVRC4PSThY9NChmZOXkPrxrGprx7Ti6WShb0qkiQh0Wx8Wy8HMMHfxR97RYytVGJ+lW5kFkbT95jCnBUc+NhOtVcDTPTbjxMI8CxdDM9/g1ijq0h9sQ6qry/vrxDEV5yIhHxL+VobU69iu6MWbyVGj4uuNkZnjBJ1+QgkYC9pRqdXs+3m0+SmqEp9Bh+LrZkaHLYfymMZlW9+XrTcTQ5eVntN9rUYvrqwywc1QU3O0seJKRy434MrWv6FjhWn6ZV6VMGpZkaVfbE3d6KeZuOM75HY86FRHHsxj0+f5xoWXXwMrPWHeXy4oJP56VkaOj9xWra1/bjnR4l+6MkCMJfo7RywMq/Lrd/Go+Fd3VUtoYSIdrsDJCAwtIO9Drub19MbmZqocdQO/ug1WSQcPUQ1pUbc3/bAnS5T1xMt3iduxtnUWnwPFS2rmgSH5IeeQvbai0KHMupUU+cGv310kxJt08jlSuw8K6OLkdD+OavkJtaYOZqWCDx4dE1hG+eS4O5ZwrdPzX8CuaeVchJSyJ05WTsa7VD7eoPQOKNo9xeNpFqE34tdZkqQRBKxtTaEcfKdTm2YCx2vjWM5YsMi0lLMLG0Q6/XcXXDQnKKGJusXH3Jzcog6sIBXKo35fL6+Whz8j5TBbQbyIXfZtBk7ALM7F3JiH9I4r0buAW1KnAs3xa98W3R+y/36+H1U8jkCuz8aqDNzuLi73NQqM2x9jCMTSH7f+fS73Pos/R8oftrc7LR63Xo9Xp0udnkZmchkyuRSKVEnt+PnW81TK0dSYoM4fLar/Fp2qPQ4wiC8PwcLEyo523LO6svUt3DGldrw6zIDI0WCRLszFXo9HoW7Q8hNSun0GP4OpiTka3l4K1HNPF34Ju9wWTn5t38G9DQm5k7bjL/1SBcrU15mJzJzQcptKzkVOBYvWp70KsMSjOdCotDKZdS3d0aTa6OObtuYaGSE+BsuOG46+oDGvjaYWWq4OL9JH46eoepXfNm9df5bDfvdqhE/3pe+Y5bydmSC9PaG78/G57A1E1X2TW+OfbmYoFYQSgrDuZK6npaMmFjMNVdzXG1Mvx+ZWRrQQJ2Zgp0evjuSCSpmsJngPrYm5KRreVQSCKNfaz49nAk2donxqY6zszef4+ve/jjaqXiYYqGW48yaOFvU+BYPWs40rMMSjM18LbEzUrFt0ciGNPMg4uRqZwMT+bjx4mW3jUd+f5YFM39rAFYcjyaIY3yyl7Wn3uWCS096RdUcPzU6fRka/Xk6vTo9JCVo0MqAWUp184QSi7x6gGiti0gPeI6MpUaU9eKuHUajXWVZkRsmUvU9gVI5EokUjmmrv549/0YC786ACTfOsGNr/oifaoaQbWPdqB29Scl5Az31n1BZnQwSGSoXf3w7v8pSTeOELX9WwD0Wi16bQ5SpSEJrrJzp+bnBzk52M1wXEleksu73zScmg8g9Kd3iDu9GYncUJLMxNELu9qdcGk//JmVEZ7VV4CMyFvcWz+d1BDDPQkL/3p49p6MmbuhXH9RyaUL79fH9615WFXKu296b8MMoncspMbnB1E/vufxvEQi4l+sV5MqjFm8jblDOhhfq+zhwJCOdWn5wU+YKOQM7VQXN/vCa4pampkwe3B7Ri/ailanZ0y3hrja5bUd2bkeer2eV6b9SmxKOi42FvyvXVChiYiyopDL+PWDPoz7bjvfbD6Ju70VS8Z0M65/EZ2QSv2K7oXuu/3MbS7ffUhodDzLduddgJ+cNwx3B6sXFrMg/Nc5NujO7Z8m4P/GTONrZm4VcWvzFuendUCqUOHWdrAxSfE0udoS/4FfcvvHd9DrtHh0GpmvjJF7+6Ho9TouzexNTkocSmsnXFsNKjQRUVZ02ZmE/PIhWXERSBUqLLxrUG3Cr8YPHJrEB1j51y1y/9DfppIecQOJTIlDva749v/YuO3eH9+Qm5HC5Vl560JYBdSn+sTfXlh/BOG/yKdpT459O46Gw2cbX7PxrETlLoPZOrEtMoWKyl2GYGZf+MxPpZklDYbN5OiCseh1Oqr2GJVvPYYqrwwHvY6dU7qTlRyH2taZih3fLDQRUVa0mgxOfv8JaTH3kSlMsPerQduPVyN/PDalx0fjWKnosWnPJ315eO3E46/7AdDhi024VGtM9JUjHP1mDLlZGZjaOODbsi/Veo15YX0RhP+y7kHujP/9IrN6582WrORiyVtNfWg39yAqhYy3m/oYkxRPszRVMKNXdcatuoBWr2dUK39cnpgZMKy5Hzod9Fx0jLhUDc5WJgxqVKHQRERZyczR8sH6y0QkZGCikFHDw5pVwxpiojCUONl8MZLxv19Ak6vD1dqUsW0CjAmQHK2OxIwcahcyg0Muk+Jomdc3a7UCqYR8rwmCUDa6V3dgwqYQZnTNu+dT0cmMt+q70PG7S6jkUt5q4GpMUjzN0kTO9C6+jN8YjFYPI5u44WKZ13ZIIzd0euiz7Cpx6Tk4WSh5o55zoYmIsqKQSVn2WmXe3RLKoqORuFur+LZXgHH9i4F1nbmfmEXrhRcBeL2OM6/WNoyVhrEpl9pFzOA4dS+ZPsuuGb/3/ewEDb0tWT+4+gvrz39Z3Jkt3FnxPt6vfoZt7U7IVGqSbx4n8dIe4815+/o98Bs8H702l4gtXxH8/TBqf5V3f1Bl60bQ7NMFjp2bmcqtBW/iM2AGdnW7oMvNJjX4DBK5EvfOY3HvPBZ49syRGp8fxMS+8MS+W+cxeHSbiFaTSfq9K4Sv/pik60ep8v56Y5nX0vQ189Fdrs3sgUu7ofgPXQjAg70/cX1mT6pN3YGpU8F1V4qi1+mIO7kBuZk1sSfW49V7con3LYxEX5L5jkKJSCQS5g/vxButa5V3KP8aLq/NRCmXM7ZbAyb2alJs+z7TV/PFoLZUdC++NMrT5m44xoItp8jOzeXBqg+fJ9wyExIVT/13vufIkSM0bdq0XGMRXn5jxoxh5dYD1Px0X3mH8tI68nYFpAolHh1H4vXKuGLbX5n7Or6vfoLZ41kOZens5BZkxUfiWL87Fd/6qsyP/yyaxIecGh/E9u3b6dSp0996buHfZ+3atfTr14/XV4ehVBc/BV8o6JfeHkgVSqr1GE2NvuOLbb/n0/7Ue+sz4wyJsqLTalk9sCK63Fyq9R5Lzb4TyvT4JbFpeD2GD+rPjBkz/vZzC/8uO3fupFOnTlyc1h6XIm70C8Xzeu8PlHIpo1r5807bvzbD81x4Aj8eCeP7N4pOpBblXnw6bb86SI5Wz+w+NehT9+8tefnD4VBm7QkjLb30azIKwpPS0tKwsLBgcZ+KdKtexuUW/0N8Pj2OUiZlRBN3xrX4a7O9zt1PYdmpaBb3rVTqfbU6PVVnnCJHq2d0M3feafH3jk2rzj3kvS2h1Jx+BFPnvMSSJiGKu6s+Nj5F79jsNbx6TSpwg/3uqqnEn9+BLisNtXtlfAbORO1ueB8SL+8lfO3nZCc+RGFug0fPD3Bo0JPMh2GE/fwuGZE3kciVODTogXf/T8ukP3q9ngvv1cWl7du4th9eaJuILXPRxEXgN3g+ABnRwVye2pI686+gsLAj+dYJwpaNLzQRkRZ+mZvzXqfuN9cKbHtSUYmIk4PdqDXrVKGJiNCf3kFl74FHt4nG1zQJUVya0hz/YYuxrdmu1H0NWToGbVYalcYsz/f6zW/eQK62wn/ItyWeEZF04wjBi4fi1W8akVvmEjT7TIHkyM2Z3ejeuCrLl+c/X2HEjAjhH620CYF1U1597nNN7NWkRMkOQRD+e5r9eLdU7V/k7IW6Xx56YccWBOHl8sb6iFK1bzft9xcSh1Qm4/VVz7nGjiAI/0r35rxSZseq421LHe/i17MojJedGcEzupRZLIIgvNzuTGtcZseq42lJHc/CK4wURyaVcHNKwzKLpSzodVpufTMI62qt8B9ieIo+I+J6oW3NfWrh0W0iUpWa+xtmEPrTOKpP2w1A2M/vETByKZb+dclOjiU3LQGAiM1fYVOtFVU+2IguO5OMqFuFHjsl5Ay3vhlUZJw1Pt2Hyi7/jOWsh2FkJz7AtnbnEvVVl6Mh9vg65OY2yNXFV0gxcfIBvZ7QZeOxq9sVC58g5GbWJTrX81DZumHmVZ3UkDMFEhEl6WvyjaN49ppU4HW72p25v3FmIXsULfbEemxrdcC+XjfCV00l+dYxrAObleoYTxKJCEEQBEEQBEEQBEEQBEEQhP+otDsXyUmNx7PnB0ikhrJ5f66f8DSHBnnrLrp3Hc/ZPT+g1WQgU6mRyORkPgjBzCMQpZUDSivDDB6JTI4mPpKc5BiU1k5Y+AQVemxL/3rUW3izVLHnpCUCGM9VlLjTm0m4uBttVhoyU0sqjvoBiSzv1rgmIYozoyvn26fewpvITS2o8uFmoncu4s6K98hOjsWmWit8Bs0p9px/ujKtDUjyZhJUGrcCS/96RbZXWjuRm578XH3NSUtAYVVwDRWFlaMxMVQS2qx0Ei7spOLIH5Gp1NjUbEfcyQ0iESEIgiAIgiAIgiAIgiAIgiCUniYxGpWdmzEJ8SxR278l5vgacpJjjTfXc1MTkKnUBIz8gcg/5nFv7eeY+9TCu/8nqF0D8OrzEfc3zuLKp+1QWDnh8coEbIM6FHOmklGYG9YRyU6OLXIdBgD7+t3xGzyfnNQEbi8eQtrdy1hVypslU9QaEQBqV39jWafMB6GELB1D+O/TCBi2uEQxVv903zNje1p20iMsfAuuVVeSvirMbchJjinwek5yDHJzwwxDiUyOXptToI1Om4tEpgAg/vx2ZCo1VoGG6jH29bsT8sNoKgyYgUylLnFfniQSEYIgCIIgCIIgCIIgCIIgCP9RKhtXNPHR6HW6QhdI/lPy7ZM82PcTge+tw9TFD21mKmfHVEaPYQliC58gKr+zEl2OhojNX3FnxftUnbQZpbUTfm99jV6vJ/HSHoK/H07dBdcL3NBOCT7NzfkDijx/zc8PFSjNZOLsi9LGhYTzO3BtP6zYviosbPEdNIsrn3XEoWEvlNZOxe7zJFMXPxwa9+XR4V9LtV9JaRKiSb93BdcOBdeAKElfLSs3IeHiLhyb9Mv3evz57cbEi8rWDU18JHq9HolEAoBWk0luapzx/Y09sZ7cjBTOT6wNgF6vQ6dJJ+H8Dhwa9X6uvhX9kyW8UKsOXqbrtJXlHYYgCEIBD4+u4dKMXuUdhiAIQj4h+39n55Tu5R2GIAhCPr+fuUePhUfLOwxBEIR81lx4RO+frpR3GMJLxNynFnJzGyI2z0aryUSrySQ19FyBdrqsdCQyOQoLW/S5GiK2fJW3LTeb2FObyM1MRSJTIDNRw+MZFvHntpGd+BCJRIJMbQlI4PEN8CdZBtSn/uKQIv97OgkBIJFI8Oo7lcit84g9sQ5tZhp6nZbkW8e5u2pqof01dfbDumoLond9V+x7k/kglOjd36NJiAYMJZziz2wusrzU89JmZ5IScpbbi97GzKs6NtXbFGhTkr56vDKelNsnidw6j9yMFHIzUojY8jWpIWdwf2U8YPj3lsgURO/6Dl2OBm1WOvc3fIl5hVqobF3RJESRcvsklcf9QvVP9lD9kz3U+HQfTi3eIPbk+gJxlZSYESEUqeu0lRy/cZ+T84ZR0d3e+Hr7KT9zNjiKS4tG4elobXz9s98OMn/zCU58PZRKHnm1ypLTs5iyYi/7LoSRocnBycac11vW4J0ehhXYbftMz3esWeuOsPrgFbZMG0BEXDLdPv0VtVKRL7Z9M9+iors9NUYuJDYpHZlUgkIuI9DTkTfa1KRvs2pF9su2z3TUKgUSQKWU06J6BeYO6YiVmQkAWdm5fPn7YTYcv05SWiYeDtYM71yXN9vmDTBPnlcul1EvwI25Qzvhbm9pfO/OhUQhl0qRSqVU9XZkzuAOqJRyWn2wjF3TB1H58Xuk1+t55ZNfaV69Au+KxbIFocTirxzg/tZvSLtveIrCzK0SHp1HYVu1OeGbvuL+tgVI5EokUjlmbv749J+G1eMal0k3T3B5dh+kStN8xwyathMzV3+Sg09zZ+0XpEcFI5HKULv44fvaZyReP8L9bQsA0Gu16LU5SJWGscPEzp26Xx7i8JuuhuM+8aHK99VPcG0xgFtL3yHm1CakCqVhHwcvHOp0xr3jcGRPxVLSvgKkR97iztovSA4+A4BVQD0q9JmCuYehvuXDo2t4eGwtNSdtyHfcUxPrUent+VhXbmR87c66L4nYvpA60w9h5hZQ+n8YQfiPizy/n8vr5pFw9xpylRobr8pU6zUGt5otuLh6NpfXzUemUCKVybFyD6DeW5/iWKkuAA+uHmfX1J7IVfnHg65f7cHaI4BHN05x9ufPSIq4jUQqw9rdn3pvf0H0pcNcWT8fMIxNOm0Ossdjk7mDBz0WHmV5N0fkKjU8cb1X763PqNj+DY5+M4Y7RzYilRvGJksXb7wadqFq95EFYilpXwES793k7IrPiLlhmOLuGFifOm9MxdY7EDAkl0IP/E7H6ZvzHXfdkNo0GbsAl2p5U+XP/fIFVzcsoMe3R7H2rFi6fxRB+I/rsfAoJ8PiOfJhawKcLIyvd/nmCOfCEzgztS2etmbG16dvu863+0M4/EErKjrnLcSanJnNtM3X2H/zERnZWpwsVbxaz4sxbQyfF5zHb853rK923WLN2fusH9mYyMQMei8+jqkif8mPXRNaEOBkQZ3PdhOXpkEqkaCUS6nkYsmABt70rlN0GQvn8ZsxVcqQACYKGc0CHJjVpwZWpoaxLCtHy6ydN9l8IZKkjBzcbdUMbebLwEbexmM8eV6FTEodb1tm96mBm43a+N5duJeITCpBJpVQxdWKGb2qo1LIaP/1IbaObUYlF8N7pNfr6bnoGM0CHBnfToxTglCc3j9d4WR4CofGBOHvmPdU/Cs/XOZ8RCqnJtTBw8bE+PqMPeEsPBrJwTFBBDzRPjkzl0933eFAcCIZ2TocLRT0D3JidDPD+OE29Vi+Y3194D5rLz5i7VvViEzKou/ya5gq8j+nvWNYTfwd1dSfe5a4tBykUlDKpFRyUvNabWd61SxYf/9PblOPYaqQIpGASi6lma81M7r6YWVquAWblaNjzv57bL4aS1JmLh7WKt5u6MaAus7GYzx5XoVUQm1PS2a+4oeblcr43l2ITDWMTRIJgc5mTO/ii0ohpdN3l9gypDoVnQxjsV6vp8+yqzTxteadFp5Fxi2Ryqg09mfCV33E+XfrIJHJcGr2WoF1IqyrtcSqcmMuftgImakFHt3fy7c99sQ67v42BfQ61O6V8RloWBw57e4l7q76GG1WKipbV/yHLnzmNXBp2dfrhszEnKjtC7izchJSlRoz98q4dRpd5D6uHUZw46t+uHUeCxgSDKdH+udrU3H0T5i6+JN25yLRe5aizUhGprbCpkZrvPoUnuQozOWpLfPdI3BtNwyP7u8ChlJX0buXAHpMHLywrd0Z1w7Di5yZUlxfTZ39qPLBRu6v/5KonYZEi4V/Xap8sAFTZ18ApAoVlcauIHzNp0TvWoxEKsPCvz7+ww3t405uxNy7BlaBTfOd26XtYC5NbYUm8QEqG5cS9/9PIhEhPJOviy1rj1xl6mstAbjzIIHE1MwC7XQ6PWuPXsXG3JQ1h68ybUAr47bJP+8lKzuXU/OHYak2IfRBPDfvxxZ6vi9WHWTTiZts+3Qg7g5WRMQl425vxeXFRQ8ca6f0p0kVL5LSMtl3MYwpK/YRHBnHR49jLsyJr4fi6WhNSoaGt77eyOx1R5n+ZlsABn21nuQMDZs/fh1vJ2tO3LzP8AVbSMnQMLZbwwLnzcrO5d0fdzJ5+R5+eS9vatLcIR15rWUNcrU6Zq87yshFf3Bo9ttM6NmIcd9tZ9cXg5BKJfyy/xJJ6VmMe+LYgiA8W8zpLQQvfw+/1z/Dvk5nZCo1iTeOEX9xj/HmvGODnlQaMh+9NpfwTV9xY9EwGs47bzyGytaNBnPPFDh2bmYq1+a/if8bM3Co1xVdbjbJwaeRKpR4dR2LV1fDh5Sibu4D1J1+CBOHwi+cPbuMwbvHu2g1GaSGXyVs1VQSrx+hxocbCv2gUVxfMx/d5eL07rh3GErlYYsAiNz7I5e+7EHtT3Zi6lShxO+rXqcj5uQG5GY2PDq+Dp++U0q8ryAIcOfoZk4smkD9t6fj1agLcpWaB1ePEnFmt/HmvG/zXjQd9y06bS4XV83m4Oy36bfssvEY5g7u9Fl6vsCxszNS2ffFQBoOn41341fQ5Wbz6MYpZAolNfq8Q40+7wBF39wH6P7tESycCr8Ard57HLVefZ9cTQZxoVc4/eMUoi8dpuP0zYWOTcX1NeXBHXZM6kqVV4bTfML3ANzY9gM7J79C17l7sHTxKfH7qtfpCDu0HpWFDaEH11JnUMkv+gRBMPBxMGP9uQgmdzYkAu/GppGYnl2gnU6nZ8P5SGzUCtadjeCjrlWM2z7efI2sHC1HP2yNpYmCsNg0bj1IKfR8M7bfYMulKDaNboK7jZrIxAzcrE0593H7ImP8bWhDGvs5kJSRzYGbj/h48zVCHqUy6XHMhTn8QSs8bc1Izcph6IqzfL37Np92NzyUNnj5GVIyc1g3sjFedmacCotn1K/nSMnKYVSrvBtNf543K0fLh+svM3XTVZa9Vd+4fVafGvSv50WuVsfcPbcZu+oCe99tydg2AUxcc5GtY5shlUr47dQ9kjNzGN3av0CcgiAUroKdCesvxzCprTcAd+MzSczILdBOp9Oz4XIM1qZy1l+KYXI7b+O2T3beIStHx6GxtbFUybgTn8mtRxmFnm/m3nC2Xotjw+BquFmbEJmUhZuVitMT6xYZ48o3AmlUwZqkzFwOBifwyc67hMRm8GFb7yL3OTgmCA8bE1Kzchm+5hbzDt3nk46Gzz5Dfr9JSlYua96sipetCafCUxi7/japmlxGNHEvcN6sHB2Tt4UybfsdfnwtbyHlGV396BfkRK5Wz7xD93lnYzC7R9ZiTDMP3t0Sypa3qyOVSlh1/hFJmbmMaupeIM6nmdh7UGnsigKvOzbpZyzzI5HK8Bv8DQzOv/1PgRNWFXpsrz4f4dXno2Jj+CtsqrfGpnrrQrd5dJtY4DULnyDqLw4BwKpSIxr+GFnksQNGLCn2/E++T09q+FNUkfv4DZ5vXHuiNJ7VVwAzj0Aqj3926Si1W8Ui/73cOo/BrfOYAq+bOvvRcOn90gX7BFGa6QWLjEth4Ox1+L81D/+35vHZbwcLbffhst1UGfoNnm/MoeNHK7hxP29Rkd3nQ6g/7ns8B86hxsiFrDt6DYDQ6Hg6Tf0Frze+ImDwPCb/vLfM4+/dtAobjl1HrzfUelt79Bq9m1Yt0O7ItXBSM7L5ZEAr1h27hk6nN267GPaAvs2qYm1uilQqIcDNnm4NKxc4xse/7OePU7fY+ukA3B2sSh2rtbkpvZtW5ashHfj2j1PEpxT+h+dJlmoVHev6ExwVB8ChK3c5eu0eP0/sib+bHQq5jObVKjDzrfbMWXeUlPSsAscwUcrp1qAytx8f42lymZSejQMJjowHYHTXBuTkalm66xyPEtP4YtUhvh3RBYW8+AWBBKEsZcVHcW3BW5wYU5UTY6pyZ92XhbYL/fUjTr4TxLHhAVyc3o30yFvGbfGX9nLmw6YcG+7PqYn1eHRiIwAZD8O4+GV3jo2oyIkx1QhdNa3M4tbr9dxZ8xle3Sbg3LQ/clMLJFIZtlWb4z9weoH2Epkcx4Y9yU58QHZKfLHHz3x4B6RSHBt0RyKVIVOaYlu1BeYeRV8EPw+ZSo11xfpUGbuc1PArxF8uOIaXpK/hm+diXakB3t0mIDezQm5mhXf3iVgF1CN889eliinp5jFyM9Pw6TuFmFMb0et0ZdJXQSiNtNgo9n85iFUDK7NqYGXO/fJFoe1O/TCZNf+rzq/9fdj+YRcS7900bos4u4eNIxuxsl8F1g2pTdghw/Th5Kgwdkzqyq+v+rL6jUBO/1h2N7T1ej1nl39Czf7v4t/mVZRqC6QyGW41W9Bg6IwC7aUyOb7Ne5ER/4Cs5MI/QzwpJSoMiVSGT7MeSGUy5CpT3Gq1xNa7SrH7loZcpca5SgNaT/6F+LArRJzdU6BNSfp6cfUcnKo0omb/d1GZW6Eyt6JW//dwrFyfS79/VeCYz/LgylFyMlOpM+hjwg5vEGOTUC6iEjP437LTBH60g8CPdjB92/VC203ZeIWan+zC78NtvLLgCDefuFG/5/pDmszYh++H26jz2W42nI8AICwmjW4LjuI/aRtVpu7g401Xyzz+nkEebLoQabyuW38+gp61C96UOhYSS2pWDlO7VmHjhch813WX7ifSq7YH1molUqkEfycLutYsWCLj0z+use1yNJtGGZIQpWWtVtKztgez+tRg8cEQ4tM0xe5jYaKgXRVngh+lAnDkdgzHQ2P58c16+DlaoJBJaRrgwPSe1Zm7+xYpmQUX6DRRyOhSw5WQx8d4mlwmpXstN0JiDNtHtvQnR6tj2bE7xKRk8eX2G8zrH4RCJm6zCH+fqGQNg1fdoNqMU1SbcYoZe8ILbTd1exi1Z5+h4hcn6b70CrcepRu37b2dQLNvzhPw+Unqzz3LxsuG+1FhcZn0+PEKlb44SfWZp5m2406Zx9+zuiNbrsQax6aNl2PoWcOhQLtjd5NJ02j5qL03Gy/H5BubLkel0bOmI9amcqRSCX4OarpUtS9wjM933WX79XjWP05ClJa1qZweNRyZ0dWX749HkZBecBx5moWJnLaV7AiNNTzQeyQsiRN3kvmhf2X8HNSGscnXms87+/L1wfukZBVMwpgopHSuYk9IbOH3uOQyCd2qORjPMbyJGzlaHctPPyAmNZuZe8P5ukeAGJuEfwQxI+IF0mp1vDpzDW1q+rJkXHcAroU/KrRtbX83PuzbDLVKyWerDjJyoeHpeYBx323n53d70aCSBzFJacQ/npEwY80R2gb5sv2zgWRocrgZUfgsg1M3I+g/c02RcR77akiRN/497K1wt7fi5M0IGgV6sv7oNdZ/9Coz1x7J127N4at0qVeRno0DmbR8D0euhdOiuuEp3Dr+rnz220HiUzKoX8kDXxfbAueZ+st+bkfGsfXTgTjZmBcZa0l0qO2PTq/nQmg0bYP8ntk2KS2T7WeCqVfR8CH88JW71PZ3xdnGIl+7zvUq8vb8TZwNiaJ1Td982zI0OWw6cYM6fgU/hANk52hZd/Qatf1dAZDJpHw7sguvfPIru86F8FrL6tT0Lf10JkH4K/Q6LdfmD8K2WksqD1sIQFrEjULbWvgE4dXjXWQqNXfXzeDW0rHU/tRwY+r2snepMmYpVv71yE6OJSctAYDwjXOwq96ampM2ocvOzJe8eFJy8GmuzhtUZJx1vtiHiV3+i+TMB6FoEh7gUKdzifqqy9Hw6Pha5OY2KMyKT3KaOvuAHm79+A4O9V7B0jcIhZl1ic71PEzs3LDwrk5y8Bnsa+V/SrAkfU28fhSfPpMLvO5QpxN3188sVSyPjq/HPqgjjg26E/rbVJJuHsOmSrNSHUMQ/gqdVsu+L17HPag1zScapgUn3C38Zp9DQBC1XnsfuUrN+ZVfcGT+aLrN2w/A8YXjafnhMpwq1yczKYasFMPYdHHVLNxrt6Hjl3+Qq8kg6V7hY9OjG6fY90XRi+R1++YQ5g75x6bkqFAy4qPxatilRH3V5mgIObgGlYUtSnPrYttbuvkCeo5+M5YKTbrhULE2qhLs97zMHdyw863Oo5un8azfId+2kvT1weUj1H6jYKLHu2EXzv9aMGn8LKEH1+LVoBMVmnbn9NIpPLhyFNeazUt1DEH4K7Q6PQN/PEWrSk4sGmBYsPFGdOEzAYK8bHivQyXUSjnTt19n7G/n2fuuYab2xDUX+enNetTzsSM2NYv4NMOMhNm7btI60InNY5qQka3l9sPCj336TjwDl54sMs4D77cq8sa/u60pbjamnLoTT0Nfezaej+T3YY2Ysyv/OLj2XAQdq7nQrZY7UzZd5VhILM0qGkqQ1Pay5cvtN0hI11Cvgh0+DgWv2z7dcp3gR6lsGt0ER8vS3+h7Ursqzuj0cPF+Im0CnZ/ZNikjm11XH1CnguFa80hwLLU8bXCyyh9Dx2ouDF+p4/y9BFpWyr84aUZ2LlsuRlHLy6bQc2Tn6thwPpJanobtMqmEef2D6LX4GHuuP6R/PU9qeFg/Z28FofS0Oj2DVl6nVYAtC3sbyoFdf5heaNta7hZMbOWFWiFlxt5wxm0wPD0P8N7mEJb2r0xdL0ti07KNN9i/2n+PVv42bBxcjcwcXZGzDM7cS2bQr4VfSwLsG1WryBv/btYq3KxVnL6XQgNvKzZejmXVoKp8dSD/E9frLz6iQ6Ad3ao5MHX7HY7dTaaZrzUAQR4WzNwTTkJ6DnW9LPGxK1ju57NdhlkMGwZXw9FCWWSsJdG2ki06vZ6LUam0Dih4f+tJSZm57L4ZTx1Pwz2mY2FJ1HI3x+mpGDpUtmPkOh0XIlJp4Z9/DMrM1vLH1ThqeeS/T/Wn7FwdGy7HUMvdMCbLpBLmdven7/Jr7L2dQL8gJ6q7/bX7bIJQVkQi4gU6HxpNXHI6H73aAtnjzOOfN7yf1ueJWQbv927C4m2nSc/KxsxEiVwuJTgqjqpeTjham+NobRhAFDIpEbHJPEpKw9nGgjr+hd8Ib1DZg/AV7z53P/o2r8raI1eRy6TYWarxdso/KKZlZrPt9C1WvNcbMxMlHer4s/bIVWMiYtZb7flu+xmW7jzHO0t24GFvxczB7WhbKy9JcPDKHd5sE1RoEiIyLhnvQfmfnHtWfxRyGXYWapIKmb3wpybvLkUqkZCaqcHP1Y7B7Q0XFPGpGcb390lymRQ7CzUJT5SlenXGGmQyKelZ2ThambFp2uv59nnvx11M/nkvmZocTFUKVn/Y17itqrcTA1rVZPPJG6z6oE+RcQrCi5Jy5yI5KXFU6P0hkseLR1k9VfvxT06Nehq/9uo2nsjdS9BqMpCp1EjlcjKiQzD3qILSygGlleHpFYlMQVZcJNnJMaisnbD0LXwRJ6uA+jT5rvAbgUXJSU8EMJ6rKDGnNhF3YRfarDTkaksCRy9FIsv7s6dJiOLYiEr59mny3S3kphbUnLKZiO2LCF7+HtnJMdhVb0XA/74q9px/Oje1NUjynjipNn4FVgH1i2yvtHYiNz35ufqak5aA0qpgjVKllZMxMVQS2qx0Ys/voMqYH5Gp1NjVasejExtEIkL4W8WFXCArOY6gAZORygxj05/rJzzNt0VeOcSa/d7l+pbvyclKR2FihkSmIDkiBFvvKphaO2JqbfgdkcrlpMVEkJkYg9rWCYeKtQs9tlNgA15fFVqq2DWpht83U5uiawYD3Dmykfund5KTmYZCbUmrD5YhfWJsSouN5LfX8j9I8fqqUJRqCzrN2MrVjd9yfNEEMhNjcK/dhsaj5xr7V5wt41rkK7PU5qNfcQpsUGR7ta0z2WkFx6aS9DUrJaHQ7aa2TsbEUEnkZKZx79R2Wn24HIWJGR712hN6aJ1IRAh/q4v3E4lL1TCpcyAyqaG+cx3vwm8+9aqdV5pxYrtKLDm0nXRNLmYqOQqZlJCYVKq4WeFgYYKDheHGnEIqITIhg5gUDU5WJgR5FX7s+j52BM8oWbKzMH3qeLDhXAQKmRQ7cxVe9mb5tqdrctlxJZpl/6uPmUpO+yrOrDsXYUxETO9ZnR8Oh7Ls6B3eXXMJd1s103tWp3XlvBv6h2/HMLCRd6FJiKikTAImbcv32rP6o5BJsTVTklzI7IU/tZp9EKkEUjW5+DmY82ZjQ+mThPTsQmOQPz5mwhNlqQYuPYVcKiE9W4uDhYp1Ixrn22fS+it8vOkqmTlaTBUyfnk7b9ys4mbFq/W9+ONSFCsGFz2eCsKLcDEylfj0HD5o45U3NnlaFtq2Z428v8njW3ryw4lTZGRrUStlyKUSQmIzCHQ2w8FciYO54Sa5XCYhMllDTFoOThZKgoq4EV7Py4qbU56/1HSvGo5svByDXCrBzkyBl23+3910jZadN+P58dXKqJUy2lWyZcOlGGMi4vPOPiw9Ec3y09G8vyUUd2sVn3f2odUTSYIjYUkMqONcaBIiKllD5en5k7zP6o9CJsVWrSA5s+DshT+1WXTx8dikxdfOlEH1DGvpJGTkGN/fJ8llEmzVChIy8sa7Qb/eyBubzJSs+V/+6iSTt4Xxyc47ZOboMFVI+fn1vBn8VVzM6R/kxNZrcSx/vWBFkj9/XnS5BUv0CUJp6XOzUSgUxTdEJCJeqKj4FNwdrIxJiGeZt+k4qw5e4VFSGtLHi5ckpGZiZqLk54m9mLPuKB//sp/a/m5MH9SGSh4OfDKwFV+sPkTz937C2cac9/s0pXO9sl8Uq3uDysz4/TBanZ6+zQqWZdp6+hZqEyXNq3oD0KtxFYYt2MKctw2JFFOVggk9GzOhZ2NSMjR8s/kEb83dyJXvxmBjYchU//ROD0Yt2oq9lTrfOgxAsWtEPC0nV0tcSgbWZkU/gXPsqyF4OlqTlZ3LzLVH6Pfl7xyYNRhbCzV3Hxas3Zar1RGfmoGtRV5mffWkfjSp4kVOrpaf916g5+erOPvNCExVhl++OW934LWWNdBqdey+EEL/GWs5NX8YLraGP96VPOzxCrM2theEv5MmIRqVnbsxCfEs97d9y8Oja8hOjjHeXM9JTUCmUhM4ain3tswj7PfPsfSthe+rn2LmFoBPv48I3zCT8x+3RWXthFe3CdjX7lgmsSvMDMnQ7OTYItdhAHBs0INKQ+aTkxrP9YVDSL17CZvKeReWRa0RAWDm6k+lIfMByIgO4eYPYwhd9TGBI74rUYx1Pt//zNielp30CAvfgsnkkvRVYW5j+Ld5+pjJj1CYGz58S2Ry9NqCF/F6bS4SueGjQOy57chUamweL0bl2KA7t5aMRvvGDGSq0pdVEITnkR4XjbmDhzEJ8SxX1n9DyP7VZCbGGG+ua1ISUJiY0eqDn7i0Zi5nf/4Ee/8g6g/+HGvPitQZNI0Lv37JlndaorZ1pmb/d/Fq0KlMYldZGH7fMhNjilyHAcCnWU+ajvuWrJR4Dsx8i7jQi7hUb2LcXtQaEQDWHgE0HfctAEmRIRz5eiSnf5xKi3eLr1kLhpkcz4rtaRkJDwtN1pSkryoLGzITC45NmQmPMLE07C+VydDlFhybdLk5SB+PTeEntyFXqXGpbkiK+jTtweGvR5AzfBYKE7MC+wrCixCVmIm7rdp44+ZZFuwL5vcz94hJ0fBn84T0bMxUcn58sy5zd9/m0y3XCPKy5dPuVanobMnUrlWZseMGrb86iLOVCRPbV6RjNdcy70fXGm7M2nETrV5Pr0LKMm27HI1aKadpgOEBiB5B7oz89TwzHydSTJUyxrWtyLi2FUnNyuHb/SEM+fkM5z9uj42Z4cba92/UYdzqC9iZqQqslVDcGhFPy9HqiE/TYGVa9PXSgfdb4mlrRlaOljm7bvH6DyfZM7EFNmZK7salFWifq9WRkJ6NrVnejcCVQxrQ2M+BHK2OX06E0+/7Exyf1AZTpeFv0Yze1elfzwutTs/e6w8Z+OMpjn7YGmcrw7VhRWcLPG3VxvaC8HeJTtbgZm1SorHp28MRrLn4iNi0nLyxKSMHtVLGD/0rM+/QfT7ffZda7hZ80tGHAEc1H7WvwKx94bRbdBEnCyUTWnrSIdCuzPvRpao9c/bfQ6vLnzD50/YbcagVMpr4WAPQvZoDo9cHM6OrIZFiqpAxtrkHY5t7kJqVy8KjkQxbc4szE+tiozaMH4v7VmT8xhDszBSMfGqthOLWiHhajlZHfHqOcfHpwuwbVQsPGxOycnTMPXCPgStvsHNETWxM5YTHF1x3NVerJyEjB1t13ni3YoBhjYgcrY5fzz6k/8/XOPpObUwVhrHmyy6+9AtyQqvTs+92AoN+vcGhsUE4WxoWtA5wVONpozK2f7rPICE15Axm7gUTFYJQUrkZKaRF3iIw8H8lai8SES+Qm50lUXEp6HR6pM/4w3D8+j2WbD/Llk8GEOBmR2qGBu835xpr5NXxd2PN5P5ocnKZseYI45fsYOcXg3C2sWDhyK7o9Xp2ngvmra83EbZ8AmYm+bOrJ2/ep+/034s8/8l5w565JoOlmQn1K3mw7ug1Ph3YqsD2NYevkpyeRZVhCwDQ6fWkZWWz7fRt+jWvlv9YahXjezRm3qYT3ItJMiYiKrrbs+GjV+n26W+YKOUM7VjyPwJP23U+BLlMSpBf8R/eTZRy+jWvxoItJ4lPyaBZNW9+2HGWh4mp+cozbT9zG5VCTt1CZp0o5DJea1mDD5bt4VZkLLV8859XJpPSqW5FlPIdnLkdWej6GILwd1PZuqJJiEKv0xW6COmfkm6dJHLPj9T4cD1qFz+0makcH1kJHo9Plr5BVJuwEl2OhvBNcwj++T1qTdmCytqJioPnodfrib+4mxuLh9N40Y0CN7STbp/m6tevF3ZqAOp+eahAaSZTFz9Uti7Ent+BR4dhxfZVYWFHwJuzOf9JB5wa9UZl7VTsPk9Su/rj3KQvDw49e6Gn56VJiCY1/AruHUcU2FaSvtoENiHuwk6cm+ZfFCv23A6sHydeVHZuZMVHodfrkTxOdms1GeSkxhnf30fH15ObkcLJdx7PXtHr0GalE3duB06NeyMIfwcze1fSYiOLHZseXjvBja0/0OGLTVi5+5OTkcpvr/kZPzs5VKxN249Xoc3RcGHVLI4vnkjnmdtQ2zrRZOw36PV67p/ZxaHZQ3jtt9sFbmg/vH6KvZ/1L/L8PRYeK1CaycrND7WdK/dObadqt4K/z08zsbSj8ci5/DGxDb4t+qK2Ld3YZO3uj1/r/tze/Uup9iup9Lho4sOuULXHqALbStJX1xrNuHdqB/6t87+P4Se34VLNkHgxc3A3/Hs/MTblajLITI7D/HHyNezgOrLTU1j7VnXAsD5FblY6905ux69lXwTh7+BmY0pUYmax13UnQuNYeiSMDaOa4O9oTmpWLgGTt6PHMDYFedny29CGaHK1zN55i/fWXuKPsc1wsjJh/qtB6PV6dl97yNAVZ7k5vRNmqvyX66fC4njth6JLMx35sPUz12SwNFVQz8eODecimdq14ANm687dJyUzh5qf7AIM13V/zpLoUzd/0tHCRMG4NgEs2BfM/YQMYyIiwNmCNcMb0XvxcUwUUt5u5lvgPCW15/pD5FKpsRTSs5goZPSp48GiA4Y1JZr6O/DT0TAeJWflK8+08+oDlHIptQuZdaKQSelfz5MpG69w+2EKNZ86r0wqoUM1FxQyKWfvJhS6PoYg/J1crVREJ2uKHZtO3k3mp1PRrPtfNfwcTEnVaKk8/dSfl3QEeViwcmAVNLk6vtp/j/e3hLJ5SHWcLJR83SMAvV7PnlsJDF9zi+uTG6B+Kul2OjyZASsLL6UJcGhM0DPXZLA0kVPXy5KNl2OY0t67wPb1l2JIycql9hzDQ2Q6PaRna9lxI57eNfMnLixM5Ixt5sHCI5FEJGqMiYgABzWrBlWh3/JrmCikvNXg+ZO9e28lIJdKqOVW+AyRJ5kopPSu6cjiY4Y1JZr4WrPs1AMepWbnK8+062Y8Spm00FknCpmUfkFOfLT9DsExGdR46rwyqYT2le1QyCScu59Kl6qqYuOyNJGDRELU5tkorZywrtYCqeKvldMT/lv0Oh2Z0cFEbJiOTCqhd++S3TMQiYgXqLafKzbmpnz5+yEm9DJccF0Lf1SgPFN6VjZyuRQ7C1M0OVpmPLH+QnaOlj9O3aRdbX/MTZSYmSiQPb4w33LyJvUquuNia4GV2gSJBONsiic1rOxJxK/v/6W+fDGoLaO6NsDWIv8H28i4FI5dv8eGqa9SyT2vdMic9Uf5/fBV+jWvxpz1R2lTy5cqnk7o9HqW7DiDlZkJfq75M+nVKjizbkp/en6+GhOlnDda1ypVjMnpWey/dIfJy/cwumt97CyLf4I3J1fL+qPXcLQyw9bClJbVK9Ao0JM3525k4cgueDvZcPzGPT5ctpuJvRpjWcgsC51Oz5rDVzFRyPFytC6wXa/Xs/dCKEnpmfi7lf3TA4LwPCx9aqEwtyF842w8u44FDGtEPF2eSZuVjlQuR2Fuiz5HQ/imvDJputxsYs9uw65mW2QqM2QqM+MMi9iz27D0q4PKxhm52gqQQCHjk3XF+jRdUrryJxKJBJ9+HxP88/soLGyxD+qITGVK0u1TxJ/fid+Aggvbql38sK3Wkoid3+H36ifPPH5GdAjxl/fjWP8VVLauZMVHEXNqMxY+hZeXel7a7EzS7l0lbNU0LLyrY1ejTYE2JemrV7cJXPisM/e2zMOt7WAAIvcsJTn4NEHTdgCGf2+pTE7EzsW4t30bvTaXu+tnYOFTy9jHpFsnqP7easxc82bW3ftjHg9PrBOJCOFvY+8fhMrSlgu/zaRG33cAwxoRT5dnyslKRyJTYGJpizZHw8XVs43btDnZhJ/YikfddihMzAylmh6PTeHHt+JYqS5qO2dUZlZIJBIkkoIJD+cqDRi4JrxUsUskEur+7xNOLJ6IiYUtXg06I1OZ8uj6Se6d2kGDoV8W2MfK3Q+3Wq24tmkh9QZ//szjJ0WGEHluLxWadH+csIni7pGNOAYUXl7qeeVqMom/c4UzP07Fzrc6HnXaFmhTkr7W7PcuW99rz6U1cwnsMgSA61uX8OjGKbp+ZVhnyCEgCKlMwbVNCwnsOhRdbg7nV36JQ0CQsY8Prx2n3SdrsfbMG5sur5lL2MG1IhEh/G1qedpgY6Zk1s6bjGtrKK9xIzqlQHmmdE2usZyQJlfHnF03jduyc3VsuxxF2yrOmCnlmKlkxhuHWy9FUbeCLc5WpliaKoq8rmvga8+dWV3/Ul8+7VaVES388s0IAMNi3CdC41gzvDEVnfNucs3dc5t15yLoU9eTr/fcolUlJwJdrdDp9Sw9EoaVqQI/x/ylbau6WbNqaCP6fX8cU6WM1xt4lyrG5MxsDt6KYeqmq4xo6YedefE31XK0OjZeiMTBQoWtmZLmFR1o6GvP2z+fYf6rQXjZqTkZFs+UjVcY37YiloXMstDp9Kw7F4GJQoqnXcEZV3q9nn03HpGcmYOfU/E3IAXhRavlboGNqZzZ++8xrrkhgX/9YXqB8kzp2VrkUgm2Zgo0ufp86y9k5+rYfj2ONhVtMVPKUCtl/FnUY9u1OOp4WuBsqcLSRI6k8Es66ntbETK10V/qy7SOPgxr7JZvRgAYyiadvJvMqkFVqeiYd49n3qH7rL8UQ++ajsw7eJ9WATZUdjJDp4cfT0ZjZSLD1z7/WhFVXcz59Y0qvPrzNUzkUl6r8+y1Z56WnJnLodBEpu24Y4jVrPjqFjlaHRuvxOJgrsBGLaeZrzUNvC0Z+vtNvu4RgJeNCSfDk5m6PYxxzT0MCYKn6HR61l2KwUQuxcOm4D0pvV7P/uBEkrNy8XMouD5GkfQ6Kvl6c2WR4RpSIpUZHwwRhOLodFrQ67GwtGLrH3/g7l74UgRPE4mIF0gmk7L6w758sGw3VYctQC6T8kbrmgUSEa1r+tKsqjdBYxZjqVYxqV/+mrerD1/lvZ92o9PpqeLlyNyhhvImF0KjmbR8D6kZGlztLflhXPcXVubH3d4Sd/uCtQbXHb1KTV8XmlerkO/1YZ3q0WjCEqLjU5BIJIxatI3IuGTkUilVvBz5fVI/zE0L1sWr7e/G75P60u/LNZgqFbjYWhAZl4zHgNn52q18v49xDYq+039HJpUgl8sI9HTg04GtC8zEeFqjCT8gAaSP4/ntgz7GAXfle72Z/vthun3yK4lpWXg4WPF+n6b8r13+C/0/zyuRSvB1tmXFe73yJWomLt3JBz/tBsDN3opvR3Yh0LNkNZwF4UWTSGVUHbeCkF+ncGpCHSRSGS7NXy+QiLCt3hLryk04835D5GoLvHu8l2/7o+PrCF05Bb1eh5lHZQIGzQIMa1CE/jaV3MxUTGxdqTx8ETJlKT4UFcOxfjdkJubc3/oNISs+RKZSY+ZRGc8uY4rcx6PjCC7P7ovX4zaahCiODstfh73q2GWoXf1JvXORyN0/kJuRjFxthV3NNvj0K7joalHOTmmR71O6R4dhxvfu/rZvidy9BL1ej6mjN/Z1OuHRcUSRT38X11e1ix81J2/iztrpROxcDIClX11qTtqI2tnwFKJUoaLq+F8IW/0JETsWI5HKsApoQODI7wGIObkRiwo1jGWZ/uTWdjBnp7REk/gAlY1LifsvCM9LKpPRZspKTi+dzJq3aiKVyQloO6BAIsKtVitcqjdh/bB6KNSWBL32Qb7toQfWcGrJh+j1Omy9A2k4Yg4AsSEXOLV0MjmZqZjZu9Fs4nfIVWU3Nvk07Y7C1Jwr6+Zx8vsPkJuosfGqTPXe44rcp1qPUez6uBfV+7wDGNaIWNnPO1+b1pNWYOURQGzwBa5v+Z7s9BSUZpa4121L3Tc/KXF8m8c0gyeuL6t2G0Gtx+/dlfXfcG3zd4AeC2dvvBt2oWqPUUWOTcX11crdj04z/uDcis+5unEhAE6V69Hpyy1YuRnGJplCRZupv3Lmp4+5unEREqkU5yoNafHeUgDuHF6PnW9NXGvkX6smsMtQNo1pSnr8A8zsxNgkvHgyqYRf3q7PlA1XCPp0NzKphAENvAskIlpVdqKxnz0NvtiLpamC9zrkX4tq7dkIJm24gk6vJ9DFill9agCGNSg+2nSV1Kwc3KxNWTywzgsr8+Nmo8atkFkTG85HUsPDxliW6U9DmvnQfNYBHiRlIkHCuNUXiErMRC6TUNnFkl+HNCgwcwMMi3avfLsBry89hYlChrOVCVFJmfh8sDVfu5/fqm9cg+L1H04ilUhQyKRUdrHk465VCszEeFrzWQeQYPg3CnSxYsXgBsbrumX/q8/MnTfotfgYSRnZuNuomdi+EoMa5792/fO8UokEHwczfvpf/XyJmg/WXWbyhivG929e/1pUdim8Dr8g/J1kUgk/Dwjko+1h1PnqLDKphNdqOxVIRLT0t6GxjzWN5p3DQiXjvdZe+bavuxTDlG1h6PRQ2dmMmV0Nf6cvRaXy8Y47pGpycbVUsbB3xULL/JQFNyvV43JB+W28FEMNN3OaPl4P4k+DG7jSauEFHqRokEhg/MYQopI1yKUSKjupWTGwCmaqgrHWcrdgxYBABq68gYlCirOlkqhkDf6fn8jX7qfXAo1rUAz85QZSqWE9n0pOZnzUvkKBmRhPa/ntBSQSkEkkVHY2Y/nrgcax6cfXKjN73z36LrtKUmYubtYqxrf05I16+T/T/HleqURCBTsTlr5aKV+iZtLWUD7aHmZ8/+Z296eSU+nKVq74eTkKhYIzZ86QlVX0OquC8DSZTIanpyctW7ZEpSr+gYE/SfR/zmEX/jKJRML84Z1K/SS/IDwtJCqe+u98z5EjR2jatGnxOwjCM4wZM4aVWw9Q89N95R2K8JLTJD7k1Pggtm/fTqdOZVNXX/jvWrt2Lf369eP11WEo1eLJUuGv2TS8HsMH9WfGjBnlHYrwktu5cyedOnXi4rT2uFiXXaJS+G/64XAos/aEkZaeUd6hCC+5tLQ0LCwsWNynIt2qOxS/gyA8w5WoNDp+f4mLFy9Ss2bN8g5H+A8pfhVlQRAEQRAEQRAEQRAEQRAEQRCE5yQSEWVMzC8RyoJO/CAJZU38TAllQa8r7wiEfyMxPgllQC/GJ6GMiZFJKAs68YMklDHxIyWUBXHPSSgvIhFRhmysrXiQkFreYQj/An/+HNna2hbTUhCKZ2triyYpBr1OW96hCC85TeJDQIxNQtn48+coI/5BOUcivOy0OdlkJsdjZ2dX3qEI/wJ/jk0PkzPLORLh3+BBciZ24nOTUAbUajVKpYKHKZryDkX4F3iYkg2I6zrh7ycSEWWofYcOrD92g+R0scCL8Px0Oj3L9lzAw92NwMDA8g5H+Bdo3749WSnxxJ7ZWnxjQSiCXq8n+sAKrG3tqFOnTvE7CEIxGjdujNrMjJs7liGWLBP+irCDa8nOTKdDhw7lHYrwL1C7dm3sbG1YfuyuGJuEvyQ+TcPWyw/p0KlzeYci/AtIpVLatW3LustxpGvEA2bC88vV6vn13EMqVwzA09OzvMMR/mPEYtVl6MqVK7Ro3gy1XEKnOn44WJshKe+ghJeGHkjPzObAlXCuhT9k5cqVvP766+UdlvAvoNPp6N27D1v++APbGq0x86iCRKYo77CEl4g2O4PUm0dJCrvEDz/8wJAhQ8o7JOFfYt68eUyYMAHnynVxrNoEudKkvEMSXiI6bQ7xoZeJvLCfAQMGsOLnn5FIxKdv4a9bunQpQ4cOpaaXLc387VErZeUdkvAS0evhUUoWO649QqIy48jRYwQEBJR3WMK/wNmzZ2ndqiVWSj3tK1pjq5YjEXedhBLSoydNo+VAaAqhsemsX7+B7t27l3dYwn+MSESUsRs3bvDtt9+yb+9uUlJezjJNGo2G9PR0LC0tkcvl5R1Oiel1epKSk1AqlZiZmZV3OM/FRKWiXoMGDBkylHbt2pV3OMK/SE5ODgsXLmTNuvXcuXMXnfble4pGq9WSnJKMqakaU5OX52alHkhNTUGn02NlZflSXiwoVSrq1anN228PpkuXLuUdjvAvs2HDBpYv/5mLly+j0byE5Qb0epKTk5HJZJhbWJR3NKWSmZlJVmYmVlbWSGUv30RpuVyOn68v/fv1ZcSIEchk4maxUHa2bdvGTz/+yPlzZ1/OsQlIS0sjNzcXKyurlypJl5OTQ2pqKubm5iiVyvIO57lYW1vTrkNHxo4di7+/f3mHI/yLXL58mYULF3Jw/15SU9N4GVeNyMrSkJGRgaWVJfKX6G+3Tmf4zKdUKTFTq8s7nOcgwdTUhIaNmzBs2HBatGhR3gEJ/0EiESHkk5KSQkBAAK1atWLVqlXlHU6pLV68mNGjR3P27Flq165d3uEIglBG9Ho9HTt2JDQ0lOvXr6NSqco7pFK5dOkSQUFBzJ8/n7Fjx5Z3OIIglKHp06fz6aefcu3atZfuide0tDQqVqxIo0aNWLduXXmHIwhCGTp8+DAtWrTgl19+YeDAgeUdTql17dqVq1evcvPmTUxNTcs7HEEQykh8fDz+/v707t2bH374obzDKbXZs2czefJkrly5IkppC8JzEIkIIZ8PP/yQBQsWcPv2bTw8PMo7nFLLzc2lVq1aWFlZcfTo0ZfqyR9BEIq2fft2unTpwubNm+nWrVt5h/Nchg4dyvr16wkJCRELqgrCv0R0dDQBAQEMGzaMuXPnlnc4z2XlypW88cYbHDp0iObNm5d3OIIglAGtVkudOnVQKpWcPHkSqfTlm/EUHBxM1apVmTZtGlOmTCnvcARBKCOjR49m5cqVhISE4OjoWN7hlJpGo6FKlSr4+fmxc+dOcc9JEEpJJCIEo7CwMAIDA5k8eTLTpk0r73Ce2/79+2nTpg2///47/fr1K+9wBEH4i7Kzs6lWrRoeHh7s3bv3pf2wFxMTg7+/P/9n777jqqweOI5/7r1c9t5bUS4oCpgL3Ctzl5ppmZnltsyVOzVX5k7LHKX2y1Hu1MqycmRuxYmyBREHU0CBC9x7f3+QKAEKij6M8369esW9z/pefDjPuc95zjnvvPMOX331ldRxBEEoA++++y779u0jLCwMS0tLqeM8Fa1WS9OmTVGr1Zw5c0YMbyQIlcC3337L4MGDOX78OIGBgVLHeWrjxo1j1apVhIWF4eLiInUcQRCeUXBwMP7+/syfP59x48ZJHeep7d69m+7du/Pzzz/TpYuYjF4QSkM0RAj5evbsyZkzZwgJCcG4Qo5391D37t05d+4cV69erfCfRRCquiVLljB+/HjOnz+Pr6+v1HGeyeLFi5k4cSLnz5+nbt26UscRBOEZnDp1ioCAAFavXs2QIUOkjvNMTp48SWBgIN988w2DBg2SOo4gCM8gNTUVLy8vXnnlFTZs2CB1nGdy9+5dVCoVnTp14vvvv5c6jiAIz0Cn09GhQweio6O5fPlyhZ3/BfI+S/v27YmNjeXSpUsV+rMIwosmGiIEAA4cOEC7du3YvHkzb731ltRxnllERAQ+Pj588sknTJ8+Xeo4giA8pYSEBFQqFW+//TYrVqyQOs4zy87Opm7dulSrVo39+/dX2N4dglDV6XQ6mjZtSmZmJmfPnq0UvQjeeecdfv/9d8LDw7GwsJA6jiAIT2n8+PF8/fXXlaYXwZo1axg6dCgnTpwgICBA6jiCIDylPXv28Nprr7Fnzx66desmdZxndunSJerVq8fChQsZO3as1HEEocIQDRECubm51K9fHzMzM/75559Kc2NswoQJrFixgtDQUFxdXaWOIwjCUxg2bBhbtmwhPDwcW1tbqeOUib179/Lqq6+ye/duXn31VanjCILwFDZt2kS/fv04ePAgrVu3ljpOmYiLi8PLy4sRI0awcOFCqeMIgvAUwsPDqVOnDtOmTWPatGlSxykTGo2GBg0aYGhoyLFjxyrkfBeCUNWp1Wrq1q2Lh4cHv//+e6W55zRixAg2b95MeHg4dnZ2UscRhApBNEQIrFq1iuHDh3Pq1CkaNWokdZwyk5aWhkqlon379mzcuFHqOIIglNKFCxeoX78+S5YsYdSoUVLHKTM6nY6OHTsSFRXF5cuXMTAwkDqSIAilcP/+fby9vQkICGDHjh1SxylTc+bMYdasWQQHB6NSqaSOIwhCKb322mucP3+ekJAQjIyMpI5TZg4dOkSbNm3YsGED/fr1kzqOIAiltGjRIiZNmsSFCxeoU6eO1HHKTGJiIiqVij59+rBq1Sqp4whChSAaIqq4lJQUVCoV3bp1Y/369VLHKXNr165l0KBBHDt2jCZNmkgdRxCEEtLpdLRt25bbt29z8eJFlEql1JHK1JUrV/Dz8+Pzzz/n448/ljqOIAilMGPGDObPn8/Vq1fx8PCQOk6ZyszMpHbt2vj7+7N7926p4wiCUAp//PEHr7zyClu2bKF3795Sxylzr7/+OidPniQ0NBQTExOp4wiCUEJ37tzBy8uL/v378+WXX0odp8wtW7aMsWPHEhQUhL+/v9RxBKHcEw0RVdyYMWP49ttvCQsLw8nJSeo4ZU6j0dCoUSP09PQ4ceKE6MorCBXEzp07ef311/n111/p1KmT1HGei5EjR/K///2P8PBwHBwcpI4jCEIJxMTEUKtWLcaMGcNnn30mdZznYuvWrfTp04f9+/fTvn17qeMIglACubm51KtXD2traw4fPlxphj15VFRUFD4+PkyYMIFZs2ZJHUcQhBIaPHgwO3bsIDw8HBsbG6njlLmcnBz8/PxwdHTkwIEDlbL8FYSyJBoiqrCQkBB8fX2ZNWsWkydPljrOc3PkyBFatmzJ//73P/r37y91HEEQniArKwsfHx9q167NL7/8InWc5yYpKQmVSsXrr7/ON998I3UcQRBK4M033+Tw4cOEhYVhZmYmdZznQqfT0apVK5KTkzl//jx6enpSRxIE4QlWrFjByJEjOXPmDPXr15c6znMzZcoUli5dSkhICNWqVZM6jiAIT3Du3DkaNGjAsmXLGDlypNRxnpt9+/bRuXNnduzYQc+ePaWOIwjlmmiIqMK6dOnC1atXuXLlCoaGhlLHea569+7NP//8Q1hYGKamplLHEQThMebNm8f06dO5fPky3t7eUsd5rr788ktGjRrF2bNneemll6SOIwjCY/zzzz+0aNGC9evXM2DAAKnjPFdBQUE0bNiQL7/8kg8++EDqOIIgPEZycjIqlYru3buzdu1aqeM8V+np6Xh5edGyZUu2bNkidRxBEB5Dp9PRunVrEhISuHDhQqUbave/OnfuTEhISJW4vyLpxlIAAPKbSURBVCYIz0I0RFRRVa3FNjo6mtq1azNu3DjmzJkjdRxBEIpx69YtVCoVgwcPZunSpVLHee5ycnKoV68etra2HDp0SHTlFYRySqvV0qhRI+RyOSdPnqwSQz0OGjSIXbt2ER4ejrW1tdRxBEEoxqhRo1i/fj1hYWE4OjpKHee5++6773jvvff4+++/adGihdRxBEEoxvbt23njjTf47bff6NChg9RxnrsHI47Mnj2bSZMmSR1HEMot0RBRBVXVMeymTZvGwoULCQkJoXr16lLHEQShCO+99x579+4lPDwcKysrqeO8EPv376dDhw5s27aNXr16SR1HEIQirFu3joEDB3L06FGaNm0qdZwX4s6dO6hUKt577z2WLVsmdRxBEIpw5coV/Pz8+Oyzz5gwYYLUcV4IrVZLQEAAWq2W06dPV4mGYUGoaDIzM6lduza+vr7s3btX6jgvTGWfg1UQyoJoiKiCli1bxtixYwkKCsLf31/qOC/MvXv38Pb2pmnTpmzbtk3qOIIg/Mfp06dp3LgxK1euZNiwYVLHeaG6devGpUuXuHr1KkZGRlLHEQThEWlpaXh5edG2bVs2b94sdZwXasGCBUyZMoWLFy/i4+MjdRxBEB6h0+no1KkTERERBAcHY2BgIHWkF+bYsWM0a9aMtWvX8v7770sdRxCE/5g7dy4zZ87k8uXLeHl5SR3nhUlJSUGlUtGtWzfWr18vdRxBKJdEQ0QVk5iYiEqlonfv3qxevVrqOC/chg0b6N+/P4cOHaJVq1ZSxxEE4V86nY7mzZuTnp5OUFBQlZscNSwsjLp16zJjxgymTp0qdRxBEB4xadIkli9fTmhoKG5ublLHeaHUajV16tTB09OTffv2VZletIJQEfzyyy907dqVXbt20b17d6njvHB9+/blr7/+Ijw8HHNzc6njCILwr5s3b+Ll5cXQoUNZvHix1HFeuJUrVzJixAhOnz5Nw4YNpY4jCOWOaIioYj744AM2bdpEeHg4dnZ2Usd54bRaLU2bNkWtVnPmzBkUCoXUkQRBAH744Yf8L5Rt27aVOo4kPv74Y1atWkVYWBjOzs5SxxEEAYiMjMTHx4cpU6YwY8YMqeNIYvfu3XTv3p2ff/6ZLl26SB1HEAQgOzsbX19f3Nzc+OOPP6pkI2FsbCze3t6MHDmS+fPnSx1HEIR/vfvuu+zbt4+wsDAsLS2ljvPC5ebmUr9+fczNzTly5EiVLJ8F4XFEQ0QVcunSJerVq8fChQsZO3as1HEkc/LkSQIDA/nmm28YNGiQ1HEEocrLyMjA29ubhg0bsmvXLqnjSCY1NRWVSkWnTp343//+J3UcQRCAHj16cPbsWUJCQjA2NpY6jiR0Oh3t27cnNjaWS5cuoa+vL3UkQajylixZwvjx4zl//jy+vr5Sx5HMzJkz+eyzz7hy5Qo1a9aUOo4gVHkP7rWsXr2aIUOGSB1HMgcOHKBdu3b88MMPvPnmm1LHEYRyRTREVBHiS2RB77zzDr///jvh4eFYWFhIHUcQqjTxJfKhNWvWMHToUE6cOEFAQIDUcQShSnvwJXLz5s289dZbUseRlHiYRRDKj4SEBFQqFX379uXrr7+WOo6kMjIyqFWrFg0aNKjSD7MIQnmg0+lo2rQpmZmZnD17tsqPPtGjRw/OnDlDaGholX2YRRCKIhoiqogH3er37t1L165dpY4jubi4OLy8vBgxYgQLFy6UOo4gVFkPutV/9NFHfP7551LHkZxGo6FBgwYYGRlx7Ngx0ZVXECTyoFu9mZkZ//zzj/hbBEaMGMHmzZur7PCeglBeDBs2jC1bthAeHo6tra3UcST3YHjPP//8k3bt2kkdRxCqrE2bNtGvXz8OHjxI69atpY4jOTG8pyAUTTREVAFiosGizZkzh1mzZhEcHIxKpZI6jiBUSX379uXAgQOEh4djZmYmdZxy4dChQ7Rp04aNGzfy9ttvSx1HEKqkVatWMXz4cDHR4CMSExNRqVT06dOHVatWSR1HEKqkCxcuUL9+fZYsWcKoUaOkjlMu6HQ6mjdvTlpaGufOnUNPT0/qSIJQ5dy/fx9vb28CAwPZvn271HHKjUmTJrF8+XJCQ0Nxc3OTOo4glAuiIaIKWLBgAVOmTOHixYv4+PhIHafcyMzMpHbt2vj7+7N7926p4whClXPs2DGaNWvG2rVref/996WOU6706tWLEydOEBoaiomJidRxBKFKSUlJQaVS0a1bN9avXy91nHJl2bJljB07lqCgIPz9/aWOIwhVik6no23btty+fZuLFy+iVCqljlRunDlzhkaNGvH1118zfPhwqeMIQpUzffp0FixYwNWrV/Hw8JA6TrmRnp6OSqWiXbt2bNq0Seo4glAuiIaISu7OnTuoVCoGDBjA8uXLpY5T7mzdupU+ffqwf/9+2rdvL3UcQagytFotAQEBaLVaTp8+jVwulzpSuXLt2jVq167NhAkTmDVrltRxBKFKGTNmDN9++y1hYWE4OTlJHadcycnJwc/PD0dHRw4cOCB62QrCC7Rz505ef/11fv31Vzp16iR1nHLnvffeY+/evYSHh2NlZSV1HEGoMmJiYqhVqxZjxozhs88+kzpOubNu3ToGDhzI0aNHadq0qdRxBEFyoiGikhs0aBC7du0iPDwca2trqeOUOzqdjlatWpGcnMz58+dFV15BeEH+97//MWDAAI4cOULz5s2ljlMuTZkyhaVLlxISEkK1atWkjiMIVUJISAi+vr7MmjWLyZMnSx2nXNq3bx+dO3dmx44d9OzZU+o4glAlZGVl4ePjQ61atfj111+ljlMu3bp1Cy8vLwYNGsTSpUuljiMIVcabb77J4cOHCQsLE0PtFkGr1dKoUSPkcjknT54UD+AJVZ5oiKjEgoKCaNiwIcuXL+fDDz+UOk659eD39OWXX/LBBx9IHUcQKr309HS8vLxo1aoVP/74o9Rxyi3xexKEF69Lly5cvXqVK1euYGhoKHWccqtz586EhISI35MgvCCff/4506ZN49KlS9SqVUvqOOXWvHnzmD59uvg9CcILcuTIEVq2bMn69esZMGCA1HHKrQe/p++++453331X6jiCICnREFFJ6XQ6WrZsSUpKinjSvwREzxFBeHEePOkfGhqKu7u71HHKtQc9R/7++29atGghdRxBqNTEk/4l96DnyOzZs5k0aZLUcQShUrt16xYqlYrBgweLJ/2fQPQcEYQXRzzpXzpvvvkmf//9N6GhoaLniFCliYaISkrMfVA6Yi4NQXgxxNwHpaPVagkMDESj0Yi5NAThORJzH5TemDFj+OabbwgPDxdzaQjCcyTmPigdMZeGILwYYu6D0rl+/Tre3t5iLg2hyhMNEZVQZmYmtWrVwt/fnz179kgdp8JYsGABU6ZM4eLFi/j4+EgdRxAqpV69enHixAlCQ0MxMTGROk6FcOzYMZo1a8batWt5//33pY4jCJXSsmXLGDt2LEFBQfj7+0sdp0JISUlBpVLRrVs31q9fL3UcQaiUzpw5Q6NGjfj6668ZPny41HEqBJ1OR9u2bbl16xaXLl1CqVRKHUkQKp20tDS8vLxo27YtmzdvljpOhTF9+nQWLFjA1atX8fDwkDqOIEhCNERUQnPmzGHWrFkEBwejUqmkjlNhqNVq6tSpg6enJ/v27RNPQwpCGTt06BBt2rRh48aNvP3221LHqVD69u3LgQMHCAsLw9zcXOo4glCpJCYmolKp6N27N6tXr5Y6ToWycuVKRowYwenTp2nYsKHUcQShUtHpdDRv3py0tDTOnTsnhtothQsXLlC/fn0WL17M6NGjpY4jCJXOpEmTWL58OaGhobi5uUkdp8K4f/8+3t7eBAYGsn37dqnjCIIkRENEJRMXF4eXlxcjRoxg4cKFUsepcHbv3k337t35+eef6dKli9RxBKHS0Gg0NGjQACMjI44dOyYa+kopNjYWb29vPvroIz7//HOp4whCpTJixAg2b95MeHg4dnZ2UsepUHJzc6lfvz7m5uYcOXJElO2CUIZ++OEH+vbty59//km7du2kjlPhDBs2jC1bthAeHo6tra3UcQSh0oiMjMTHx4cpU6YwY8YMqeNUOJs2baJfv34cOnSIVq1aSR1HEF440RBRybzzzjv8/vvvhIeHY2FhIXWcCken09G+fXtiY2O5dOkS+vr6UkcShEphzZo1DB06lJMnT9K4cWOp41RIM2fO5LPPPuPKlSvUrFlT6jiCUClcunSJevXqsXDhQsaOHSt1nArpwIEDtGvXjh9++IE333xT6jiCUClkZGTg7e1Nw4YN2bVrl9RxKqSEhARUKhV9+/bl66+/ljqOIFQaPXr04OzZs4SEhGBsbCx1nApHp9PRtGlTMjMzOXv2LAqFQupIgvBCiYaISuTEiRM0adKENWvWMHjwYKnjVFjipoQglK27d+/i5eVFx44d+f7776WOU2FlZGRQq1YtGjRoIG5KCEIZEA8flJ0ePXpw5swZQkNDxU0JQSgD4uGDsrFkyRLGjx/P+fPn8fX1lTqOIFR4Dx4+2Lx5M2+99ZbUcSqsU6dOERAQwOrVqxkyZIjUcQThhRINEZWEVquladOmZGVliVbVMiCGaRCEsjNu3DhWr15NaGgoLi4uUsep0B4M0/DXX3/Rtm1bqeMIQoX2YDjGvXv30rVrV6njVGhimAZBKDsPhmMcOXIk8+fPlzpOhZadnY2vry+urq78+eefYvg4QXgGD4ZjNDMz459//hF/T8+of//+/Pbbb2I0E6HKEQ0RlcSGDRvo37+/GGeujDyYuLJPnz6sWrVK6jiCUGGFhYVRp04dPv30U6ZOnSp1nApPp9PRokUL0tLSCAoKEhNXCsJTUqvV1KlTB09PT/bt2ye+TJcBMXGlIJSNvn37cuDAAcLCwjA3N5c6ToX3yy+/0LVrV3bt2kX37t2ljiMIFdbKlSsZMWIEp0+fpmHDhlLHqfDi4uLw9vZm2LBhLFq0SOo4gvDCiIaISuDevXt4e3vTtGlTtm3bJnWcSmPZsmWMHTuWoKAg/P39pY4jCBVSt27duHTpElevXsXIyEjqOJXCmTNnaNSoEStXrmTYsGFSxxGECmnBggVMmTKFixcv4uPjI3WcSiE9PR2VSkW7du3YtGmT1HEEoUI6duwYzZo1Y+3atbz//vtSx6kUdDodnTp1IiIiguDgYAwMDKSOJAgVTkpKCiqVim7durF+/Xqp41Qac+fOZebMmVy+fBkvLy+p4wjCCyEaIiqBadOmsXDhQkJCQqhevbrUcSqNnJwc/Pz8cHR05MCBA+JpSUEopf3799OhQwe2bt3KG2+8IXWcSuW9995j7969hIeHY2VlJXUcQahQ7ty5g0qlYsCAASxfvlzqOJXKunXrGDhwIEePHqVp06ZSxxGECkWr1RIQEIBWq+X06dPI5XKpI1UaV65cwc/Pj88++4wJEyZIHUcQKpwxY8bw7bffEhYWhpOTk9RxKo3MzExq166Nr68ve/fulTqOILwQoiGigouOjqZ27dqMHTuWuXPnSh2n0tm3bx+dO3dmx44d9OzZU+o4glBh5OTkUK9ePWxsbDh8+LBoyCtjt27dwsvLi0GDBrF06VKp4whChTJo0CB27dpFeHg41tbWUsepVLRaLY0aNUIul3Py5ElxI1UQSuF///sfAwYM4O+//6ZFixZSx6l0PvroI7777jvCwsJwdHSUOo4gVBghISH4+voya9YsJk+eLHWcSmfbtm307t2b33//nVdeeUXqOILw3ImGiAqud+/e/PPPP4SFhWFqaip1nEqpc+fOhISEcOXKFQwNDaWOIwgVwpdffsmoUaM4e/YsL730ktRxKqV58+Yxffp0Ll26RK1ataSOIwgVQlBQEA0bNmT58uV8+OGHUseplI4cOULLli357rvvePfdd6WOIwgVQnp6Ol5eXrRs2ZItW7ZIHadSSk5ORqVS0b17d9auXSt1HEGoMMT9kOdLp9PRqlUrkpKSuHDhgpgDUKj0xGNKFdjff//Ntm3b+Pzzz0UjxHO0ZMkSYmNj+eKLL6SOIgjl2uzZszlw4ABJSUnMmDGDgQMHikaI52jMmDG4ubkxbtw4qaMIQoWg0+kYNWoUPj4+Yn6V56hFixb06dOHyZMnk56eLnUcQagQ5s2bx927d1mwYIHUUSota2trZs2axfr16wkKCuLatWsMGjQIrVYrdTRBKLf27dvHvn37WLRokWiEeE5kMhnLli3j6tWrrFq1Suo4gvDciR4RFZRGo6FRo0YolUqOHz8uur4/Z2PGjOGbb74hPDxcjIkoCMVwdnZm6NChJCYm8r///Y/w8HAcHBykjlWp7dy5k9dff51ff/2VTp06SR1HEMq1rVu30qdPH/bv30/79u2ljlOpXb9+HW9vb8aMGcNnn30mdRxBKNeioqLw8fFhwoQJzJo1S+o4lVpubi716tXDysqKsWPH0rNnT+Lj47Gzs5M6miCUOzk5Ofj6+uLk5CTmzHwBBg8ezI4dOwgPD8fGxkbqOILw3Ii71xXU+vXrOXfuHF988YVohHgBpk+fjqGhIVOmTJE6iiCUW6mpqWRmZrJy5UqmTZtGTEwM0dHRUseq1Hr06EHr1q0ZO3YsOTk5UscRhHIrMzOT8ePH061bN9EI8QK4u7szfvx4lixZwrVr16SOIwjl2vjx47G1tWXixIlSR6nUUlNTOXDgAEuWLOGff/7h3Llz+e8LglDYihUrCA8P54svvhCNEC/AnDlzyM3N5dNPP5U6iiA8V+IOdgWUlpbG1KlT6du3L02aNJE6TpVgZWXF7Nmz+e677zhz5ozUcQSh3MnJySEjI4O9e/fi7u7OlStXCAgIYNu2bVJHq9RkMhlffPEFYWFhfP3111LHEYRya9GiRdy6dYvFixdLHaXKmDhxIra2towfP17qKIJQbh06dIidO3fy+eefY2JiInWcSu3UqVN06NCBRYsW0a5dO7755htANEQIQlESExOZOXMmgwYNwt/fX+o4VYKDgwPTpk1j5cqVBAcHSx1HEJ4bMTRTBTRhwgRWrFhBaGgorq6uUsepMnJzc6lfvz7m5uYcOXJEPBUgCI9ISkrC1tYWABsbG7Kzs1m0aBGDBw8WfysvwLBhw9iyZQvh4eH5/w6CIOSJi4vDy8uLESNGsHDhQqnjVCmbNm2iX79+HDp0iFatWkkdRxDKFY1GQ4MGDTAyMuLo0aOil/sL8PvvvzN48GCSk5PJzMxEq9Xy119/0bZtW6mjCUK5MmLECDZv3kx4eLgYuuwFUqvV1K1blxo1avDbb7+J79FCpSRqOxXMg65xEydOFI0QL5ienh5ffPEFR48eZcuWLVLHEYRyJTExMf/nBg0acPnyZYYMGSIqTy/I7Nmz0el0zJgxQ+ooglDuTJo0CRMTEz755BOpo1Q5ffv2JTAwkFGjRqHRaKSOIwjlytq1a7lw4QLLli0TjRAvSIcOHbh8+TJvv/12/iTVYvg4QSjo0qVLrF69munTp4tGiBfMwMCAxYsXs3//fn755Rep4wjCcyF6RFQwr732GufOnSMkJARjY2Op41RJPXr04MyZM4SGhop/A0H4161bt6hduzYff/wxU6dOFQ0QEliyZAnjx4/n/Pnz+Pr6Sh1HEMqFEydO0KRJE9asWcPgwYOljlMlnTp1ioCAAFavXs2QIUOkjiMI5cLdu3dRqVR06tSJ77//Xuo4VdLu3bt59913Wb9+PT169JA6jiCUCzqdjpdffpkbN25w6dIl9PX1pY5U5eh0Ol555RViYmK4fPmy+DcQKh3REFHO5eTkEBsbS40aNfjzzz9p3749P/zwA2+++abU0aqsyMhIfHx8mDJlCjNmzCA+Ph49PT2sra2ljiYIQhWWnZ2Nr68vbm5u/PHHH2RkZJCcnIybm5vU0QThhYqJicHe3h4DAwOaNGmCWq3m7NmzKBQKqaNVWf379+e3334jPDwcc3NzwsLC8Pb2ljqWILxQD3qP2traMm7cOFatWkVYWBguLi4SJxMEoSrLysri9u3bVK9enZ9++okePXqwd+9eunbtKnW0Kuvy5cv4+/uzYMECxo0bx61btzA2NsbCwkLqaILwzERDRDn33Xff8fHHH3P79m3q1auHpaWlmJ+gHJg0aRLLly8nNDSUjz76CGtra9auXSt1LEEQqrhffvmFrl278tNPPxEZGZl/k0MQqhJnZ2c+/fRTjIyM6N+/v5ifoByIi4vD29ubYcOG0adPHwIDA4mNjcXZ2VnqaILwwvTp0wd9fX2mTZtGnTp1+PTTT5k6darUsQRBqOK++uorFi1aRGhoKHXq1MHT05N9+/aJe04S+/DDD9mwYQPh4eG8/fbb+Pj4sGzZMqljCcIz05M6gPB4N2/eRCaTsWbNGq5cucLp06fFBaEcmDp1Kt999x2TJk0C8oalEaSVnJxMaGgoOTk5UkcRKhA9PT1q1qyJg4OD1FHKROfOnenQoQPjxo1jyJAhomwSqhytVsvt27dRq9XMnDmTXr16iUaIcsDFxYXJkyczc+ZMAgMD0Wq1xMfHi4YIoUq5efMmHh4ejBs3DhcXF8aOHSt1pDITHx9PREQEubm5UkcRKhCZTIajoyOenp7iHoeEHtxzWrZsGdHR0ezZs0f8e5QDM2fOZPPmzUybNg0Q95yEykM0RJRzqampmJmZMW3aNPr378/vv//OqFGjOHToEHp64p9PCiNGjCArK4spU6YwatQoOnXqRGpqqtSxqqzU1FT6vzuAX375GY348iM8BZlMRuu2bdm8cSOOjo5Sx3lqa9euZcuWLYwcOZIePXpw6tQp7t27h0ajEUPSCFVGeno6Op2OgwcPkpSUxHvvvUfbtm0ZPHgwb731ltTxqqTz588zaNAgpk6dirOzMytWrAAQdSehyklNTSU1NZWff/6Zb775hsGDB+Po6MiiRYukjvbUbt++Tb+3+3Lg4CHEQAvC0/JWebJy9RratGkjdZQqKTU1FRMTE2bPns3QoUP58ccfOXr0KH/++adokJDIgAEDMDQ0ZOLEiUyePJm2bduKepNQaYg72eVcamoq9+7dIzMzk3PnzrFhwwamTZsmGiEk9MorrzBgwAD27dtHjRo1OHv2LHZ2dlLHqrJe7d6DE6eDqNbnU8y9A5ErDaSOJFQgutwc0qPOcWL3Qtq0e5ngSxeRy+VSx3oqTZo0YcGCBbzxxhsEBATwyy+/AJCWloaVlZXE6QThxXjwJW3v3r00adKE1157jVq1atGoUSOJk1VdNWrUwNbWlp49e9KqVSsOHToEiIYIoepJTU3l6NGj1KpVi8mTJwOwYcMGiVM9Pa1WS/t2bUmMi2ZhdxUN3MxRKsRNS6HkNDqITspk5T9xdOncibNB56hdu7bUsaqc1NRUEhMTkcvlHDp0iLCwMD777DPRCCGhDh06MGTIECwtLXF1dSU4OJhq1apJHUsQyoS4m13OxcbGkpCQgEKhQKPRcOLECfFlWmLdu3cnODiYYcOG8fPPPwOIbsgSCQsL4+9DB/EethLbxq9KHUeooIxdvDG0r8bl+b04duwYzZs3lzrSU/Hx8eH8+fPMmDGDxYsX5z+ZmJqaKhoihCrjwc1trVbL8ePHmTx5Mp988gn6+voSJ6u6zM3N2bdvH+vXr2fMmDEolUpycnJITk6WOpogvFAJCQlkZmaSlJTEG2+8wVdffYW9vb3UsZ7a0aNHuXzlKjsH+RPoYSl1HKGCUtkZ07ymJQ0Xnmbjxo3MnTtX6khVzvXr17lz5w5yuRwDAwPOnDmDv7+/1LGqtLfeeoumTZsyaNAg/vzzTwDRw12oNCrmY59VyNWrVwH4+OOPOXv2rGiEKCdcXFzYs2cPGzZsQF9fXzzVJ5EzZ84AYOkruvEKz8ZcFYDS0JhTp05JHeWZGBkZsWDBAo4ePZp/c+POnTsSpxKEF+f69esAuLq6curUKWbNmiUaIcoBmUzG+++/T3BwMAEBAQCcPXtW4lSC8GJlZWVhaGjI1q1b2bp1a4VuhAA4ffo0xgZ6NK5mIXUUoYIzUioIrGbGqZMnpI5SJUVERCCTyZgxYwYnT54UjRDlRLVq1di/fz/ffPMNenp6JCYmSh1JEMqE6BFRzq1btw6NRkO7du2kjiL8h0wmo1+/fgQGBnLs2DGp41RJWVlZACgMTCROIlR0MrkchYFx/jlV0QUGBhIVFcWaNWtEA7ZQpXTo0IHFixfzwQcfYGAghuorb1xdXfn7779Zs2YNr732mtRxBOGF+uabb2jfvj3u7u5SRykTWVlZGOvrIZeL4VuEZ2eir+B2ZqbUMaqkdevWYWJiQosWLaSOIvyHTCZj0KBBNG3alAsXLkgdRxDKhGiIKOdat24tdQThCTw9PfH09JQ6hvAcHX3fBbm+Ea6dP8Dt1TFSxylW+PqPSTyxC6W5LQ0XnpQ6jiAxY2NjRo8eLXUMQXih9PT0GDt2rNQxhMeQyWQMHTpU6hiC8MINHDhQ6ggVnvPUwxgp5XzY0p0xbaUdL7350lPEpmTRw8+eL3rVkjRLZSCmI5BOx44dpY4gPIGPjw8+Pj5SxxCEMiEaIgRBEErgpTkHMbR1y39968B3xP22itx7KRg51sSj70zMPfOePL8fe4WoTZ9wP/YKCkMTHFv3x63bKAC0OWqit39G4qm9aHOysAt4DY+3ZiHXUwJwfLiqwHG12Vk4tX2XGm/PIT3yLDE753Mv5jJyPSVWvm3x6DsLPSMzAFTvLcK+SU/C10rTWKLT6YjZ/hl3/t4MgEOrflR7fVKxE50lnNhFzI555KQnY1m3Nar3FqFnYgnApfm9SI8MQvbvWJj6lo40mHcEgNSQY1xe2Bu5vlH+vmr2m4t9s97P8dMJgiAIgiAIUjs0qhFuVoYAZOdqGbH1Kudi07iVls3JjwPylz0qO1fLy1+dJStHw6nxgQBEJGQwa18kQbHp6HQ6Aj0smdvNE0fzvN50f4UmMWtfFLfT1OjryWmjsmZuN0/MDPNuofwzpjGL/ormRoo0vWlTMnIYtzOUwxEp2JgomdKhBt39ih7uKzUzl4m7wzgSmQJAWy9r5r2qwtSg4O2gJQeiWfRXDNsH+tO0hiUAo7eHsOtifIGJyEOnNUchesIIgiAIT6HEDRE6nY5ff/2VnTt3ci06Bo1W+zxzCZWMsaEhjRs3ol+/fqhUKq5du8bGjRs5fuwYWVkZUscTKhQZpmZmtG0r3XBl96IvEr1tLr4Td2BSzZfbh74n5KvBNFp6DplMRtg3H2Ht/zJ1J2wjKzGWS/N6YFKtLtZ+7bjx6wruR1/kpdl/gVbLleXvcuPnZbh3/xiAJivD84+jybrPqTH1sGnYFYDcjDSc2g7Ask4rdDotYd+MJHrLbDwHLHjmz6TNUaPNyULP+OnH+b1zeCPJ5/+g3qy8CbWCF72FoX01HFv2LbRuRlwokRsm4zPqe0zc6xDxvwlEbZqG15Av89ep2X8eDs37FHksA2uX59LrIzMzk1WrVrF//37upiQDujI/hlB5GRgYUb9BA/r160ft2rW5ePEimzZt4sL582RnV45hv4QXRYa1jS0dO3akT58+mJmZcfDgQbZu3UpYeAS5Go3UAYUKxFBfn3r1/Hn77bfx8/MjLS2NLVu28Pvvv5OYlCyudEKJyQBrK0vat29PZjkZRiewugUjWrjRddW5YtdZeSQWGxMlcXcflp3pWbl0rmPH8jdqYainYMYvEYzeEcqP7/kBUNfJlO2D/LEz1ScjW8OEn8JY9Fc0M7s8e0/45IwczA300FM8/c38KXvDMVQquDi5KZdv3aP/95eo42SKys640LoL/4rmbmYuJ8YFoAMGbQ5m6cEYpnWsmb9OdFImP19OxMGs8LxKI1u583G76k+dtaR0Oh0//fQTP/30E9djb4h7TkKpGBsa0rRpE/r164eHhwfh4eFs3LiR06dOiXtOQinJMLew5OWXX+att97CxsZG6kCVSokaInQ6HSNHjmTFihWYOnti4FIbmVx0phBKTpNyj78WLWXhosUsXbKYiRPGk5udRaC7KRYGcmSIJyqEktGhIzlWw8R9+zAzMy+TfWbGR3NxdhfqTtiGiZsPWQnXuTCrE3U+3oJptbqF1s9KjMXY2QvT6nlfVOybvkHUhinkpiejNLchK+E6doE9kckVGNlXx1zViIy4MKz92pF8/g/cuo5EaWoFgPPLA4neNje/IeJRSWd/QWlmi7lX3sSeVv+ZlNuxZV9idsx/ps9+7/pl4o9sIeHkLrwGf1noGKURf3QbLh2HYWDlBIBLh6Hc+WdLkQ0RCSd2Yl3vFcy9GgPg3mM85z5pQ813F6AwMCq0/oug02r59ps1JCQk0LiaBQ6mClE2CaWSkaPh6yMHWbxoEZMmT2bu3DmYG+jR2M0YS6VC6nhCBaLV6YiNzmXorp2sXvk1HTt3Yc6cOZjYu2Po7odMoZQ6olCBaFIzObxqLYuXLOG79etZvPQLLpw/h7lnQ/QsnZDJ5FJHFCoIHTpyb93mp90jsbW1KfNGrOikTDqvDGL7IH98HE25npxJp6+D+PF9P3ydzQqtr68nZ1BT18fu83pyJjsuxPNppxpM2vPwgZ+X3Mx5ye3hd4kBgc68uvp8/msH84LzDCnkMqKTn/6hAo1Wx+HwZH4Mus3BsBTOTQrEVPF091QysjX8GpzI36MbYWKgIKC6Ba/UtmHn+TtMbO9RaP3ryZl0rG2T35ujk48tB0KTC6wzZW84Uzt4MPmR39GLpNPpCI+MokePHpi51ULf0QuZXNSdhJLRoUObnM5f8+azcNFiFi6Yz7ixY5Drcgl0N8VSX5xLQsnp0JFwXcOYn/ey/IulHDz8Ny4uLlLHqjRKdOU7efIkK1asoHrf2Ti2fa/YYTYE4XE06gxCv3ibcWPHUNNKjy3962FuKBq0hKcTl6rmlZWXymRfRvbVce85gbBvPsLvk72EffMRzq8MKbIRAsCqbmtu/PIV6ZFBmHr4c+fIj5hU80NpntdS7tx+EPHHtuPeYzxZCTGkRwbh2mVk/vY6na7Az9kpt8jNSEPPuGDDSvzRbdg37VVsmZsWfgZjF69Sf96ceykknNhF/D8/kpOehF2TXvhN2Y2RY95TUeqkOM5Nf7nY7X1G/S+/AeFRGTfDMHF7OHalsZsPGTfDitxHRlxYfgML5P0byBR6ZN2JwsS9DgDRW+cQvXU2Ro6eVHt9EhbegfnrZ9+9w6nR/sj1jbCp3xH3HhOfuQEjV53J/Zwc/hzuh5d94afJBKEksnK0vLs5hM/mzKatypLVb6jQ1xM3+YSnc/nWfbqvu8SZoHO4dPkItx4TRD1ceCra3BzCVw5h8JAhaHQyfD/Zh0kx9RxBeJKMm+FcntUBc/2ybYqobmPExPYefLQthL3DXmLk9hCGNHMtshGipD75OYLJ7T0wfMIDAadj0vB2KFj/u3r7Hj2+OU9algZjfTnr+5X+b+ZaUiZbzt5m27nbWJvo06e+A/Ne9cofFmnnhTtMeczN/5BpzQu9F5mYgb5CTjXrh3VfH0dTTsekFrmPAQHOrDtxk+7+eUM3/RqcSEcf2/zley8loK+Q087bBiicZd3xONYdj8PNypDRravRqY5toXWeVXx6NvHxd6n53hLsi+kRLQhPkpuRRsji3owbMxofewM29/PFWDRCCE8pOjmL19ZdZfbs2axatUrqOJVGie4C7927F0MLWxzbvCu+/AhPTWFgjG2LvkSuHc2QTp6iEUJ4Ji4WBjR2N2V/aEqZ7M+pzbskn9vPxdldUBia4Nrlw2LXlRsYY9OgE5c+74FOp0PP2IK6H/+Yv9zKrw3h344m7vdVoNXg3mMCptV885b5tubm/jVYeAWi02m49ec6ALTZmfBIQ0RW4g1SQ0/g+d7iIjOkhZ3i9uGN+E3+qcSfMTcznYjvxnP38mGsfNtQrdcULH1aIpMXvElqYONC4IqrJd7vA5qs+yiMHn5R1DM2Q5N1r+h11fdR/KfhRc/IHE3WfQCq95qCkbMXcj0liad2c3XZu9Sb9SeGtm4YOXlS79P9GDl5ok66Qfja0URvnU3Ndz4rdeZHybXZdPezFY0QwjMxVMpp723FP1GpfNTCWTRCCM+krpMJXrYGXLwjw6Xzh6IeLjw1uZ4S5y4fcfniX9g1fk00QgjPxNhZhZFLbXR3Lpf5vt8NcOb3q4l0/joIUwMFH7Zyf+p97QtORKPV0amOLcei7ha7XmRiBvP/vMbqNwtOBlvb0ZSQac2JT89m4+mbOFsYFLOHwoJv3WPazxFEJGTQw9+eDe/64uNoWmi9nv4O9PR3KPF+Ia9HhLlhwZur5oZ63Msuetg+HydTsjVa6s49hg5o7WnFgABnAO6pc/n8j2v5Q1L91/tNXJjeuSbmBnocjkhm+Jar2Jv50cC9bHqmP3AzTY2BlRN2Ys434RnoGZtjHdCDmC2zGNG0mmiEEJ5JdWtDXve1Ys9Pu0RDRBkq0bfjW7duYWDrLrrGCc9MYZBX+apuXXgSMUEoLVvTsh2awqHlW2TEheLUbuBjy7s7R34g/ug2Xpp7mKZrrlGj7yyuLHsXjTqDnHspXFn6Du7dP6bpmmvU//woCcd3kBT0GwCuXT/CxL0u5z99hUufdcemfgdkCiVKc7sCx0g4vh1zVWMM7Qp/+bp/4yohXw/Ga/DyUvWI0GlyyIgLRWlqhYmbD8bOXoUaIZ6FwtCkQMODJvMeCsPCX7gAFAYmaDLTC7yXm5mOwtAEALOa9dEzMkWuNMC+WW/MPBuScukAAPoW9hi75GU3tHOn+htTSTr7yzPn12q1omwSyoT+vxM4ethIM8yYULkY6MlRmlnnl4+C8LSMHDyQyWQYONSQOopQCeiZWj23+UX6NnQiND6D95u4PvWkyBnZGub8HsXsro+f0+FWqpq+311iUnsPmte0KnIdezN92nnZMPzHkj+ok5aVS2RiBh62Rvg4mVLNquzqBMb6CtLVBRsd0tW5mBZz03Xoj1dQ2RkTNr05V6Y2w1hfwax9kQAs/iuG1+vZFznJN4CfixnWxkr0FDLaedvQw8+efVcSy+yzPJCVo8XQsYZocBeembjnJJQlD2sjbscnSB2jUinRHSidTlemN6vKi7Swk5yfVrLx0EuzrvAY/1YsnrZCWV6djEmjzVfny3xd4fHKslTKzUwnests7Ju/SczO+eRmFv0kP8D968FYv/RK3nBCcgV2gT3Q5mSRcTOMrITryBRK7AJ75M8RYeX/MneD/wZAoW9EzX5zabTkLA3mH0PPxArT6r6Fytj4Y9uxb/ZGoWNnxkdzZWk/PN78FGv/4odPKorS1Jr6cw7iNeQrspJiOT+jPcGL3yL++E406ocTDqqT4jg+XFXsf6lhRU8Sbezsxf3rVx7+nmKvYOxcdEOJsYsX92MfrpsVH4NOk4NhsTdHZKAr7uvu45aVTmUrm0CUT1J48B36GeagLJfEuSQNmQyohA8DiXq4BP49jyrb9zpxLknkOc0tkp6Vy6x9kbzZwJH5f1zjnjr3qfYTlZhJbEoWPb45j/+8YwzaHMzNVDX+845xJ00NQNL9HN5cf5F+jZx4p7HzY/en0emITi75BN1NPCw5O6EJw5u78duVRBouOMFH20I4EpmCVvuw3rrz/B08Zx4p9r+i1LQ1Rp2r5fojea7cuo+3Q9EN1sG37tG/sTPG+gosjPToXd+RwxF5vcqPRKaw9ngc/vOO4T/vGDdT1QzaHMw3R28UuS+ZLG/89OdCXOtE+VQW/i2b5JXse52oh0tDIS84tLbw7Kr02DjmXgHUm32wzNctjZv713Bz39doc7KwbtCFGu/MQ66nX+S6qVeOELVpKtnJcZjWqI/n+19gYCMmTCkPAqqZc/DDemW+bmmsOXaTr4/eJCtHSxcfa+Z1rVHskCBHolKZ+ksUcanZ1Hc15YvunrhYlryrcWV0bfM0LGo1QfX+YkJXDefaj5+iem9RkeuaVvcjbt/XOLV9DwMbF5JO70WbnYWRfXWQK9Bpckg8tQebRt1QJ8WRcuFPnF8ZDIA65RYgQ9/CnvSoIGL3flFo+KW0iNNkp9zGpmHXAu+rk28SvOhNXLuMxC6wx1N/VrOa9TGrWR+PNz8l6ew+4v/ZQtTGqfiM/h5zVSMMbFxosrL0E9XZNe1F3O+rsKzbCoC431fnf+5C6wb25OJnr5EWfhoT9zpc/2kRtg27ojAwIjcjlfSoc1h4ByKT65Fwag9p4Sep8fZsAO5ePYqhXTUMbFzITrlJ9I7PsH6pw1P/Pio7UT4JZUWcS0JZEvVwoayIc6lymfZzBE09LFnS05thP15hxi+RLO7pXez66lxt/vMo6lwtWTlaDPRk1HIw4cyEh/OLnbmeyrRfItk3vD62JkrSs3Lp+91FXq5lzcgihn/aeykBPxdT3K0MuZWWzed/XKNZDctSfRY9hYyOPrZ09LEl8V4228/fYfrPEaSrNfw9uhHG+gp61nOgZ73SDc1krK+gk48tC/6MZkF3Ly7fusf+kET2Dqtf5Pr+LmZsPnOLKR1qkKPRsv3cHWo75jVabB3oT67m4U22TiuDmN2lJq1V1gD8fDmBNiprjJRy/o5MYeeFeDb09y1V3qpMlE9CWRH1cKGyqFyPw1Qwdy8f4ua+r/EZv43680+gTojhxp6lRa6bk55M6NdDcO8xkUbLgzGp5kf4mg9ecGKhvDoUcZevj95k2wAfToypT0yKmqWHi36KJfl+DkO2hDKxnTvBExvh52TCBztKf9O5MkkK+o3UkGN49M270V2j32fcvXSQ5PN/FLm+fbPe2NTvyKV5r3Hyg1rE/rwc7+Gr0DOxRM/IjFoj1nDj1xWc/KAWF+e+ipVfOxxa9gXynvy/9NmrnBihImLdWKq/MRWrf2/cPxB/dBs2DTqhZ1RwWKM7R35EnRhL9La5BXooPC2FvhH2TXpSd/wW6s38AwObxz8J9iSOrd/B2q8d56fn/Wft3x6HFm/lL3+0N4Wxizc135lH6OoRnBrlh0adkd/QoMvN5frOBZz8yI+TH/ly+8B6ao9ch5GDBwD3r1/m0mevcWK4JxfnvoaJqw8eb376TNmF50eUT0JZEeeSUJZEPVwoK+JcKjv7riRy9Nrd/OGU5r2q4mBYMn+EJBW7TYulp6jxaV7PgZZfnKbGp0e4cVeNnkKGvZl+/n+WRkoUsrxhluRyGfuuJHLp5j3+d/JmgR4IN+5mAXA9JZPXv72A58x/6LoyCFdLQxb1KL5B5ElsTfUZ1tyNg6Ma8W1fH/Se8Wntea+quJ+twfezY3yw9Sqfv+aFyi5vnrOT0XcL9KZY0tObyMRMXvr8OAELT5Kr1TGzc97v2NpYWeD3pJCBpZEyf2z9b4/doP7849Sac5Q5v0WxqIcXAdUtnim78OKI8kkoK6IeLpSVSt8j4l7MJSLXjyMrPhrLuq2RyeUYOalwe20cqSHHiFw3hvoL8m6MBU0IwPHlgSQc3Yo66QaWvm3xfH8pcqVBoXXLQvyxbdi3ehtj57wbia5dRxGxbjTuPScWWjc56FeMXWtj07ALAG6vjeP0KF8y71zLvzknPF+Xbt5j3O5IopOzaO1piVwmQ2VnxLg2bhy7lsqYnyI5OSbvKZSApUEMDHBk6/kEbtxV01ZlydIenhjoyQutWxa2nY/n7Qb2+ZXPUa1cGb0rgontCj/d8+vVZGo7GNPFxwaAcW3c8J1/mmtJmVV2PHOb+h2xqd8x/7XS1IpGS87mv5bpGXB+RntcOg7HrdsoZDIZ1V6fTLXXJxe5P8s6LalXp2WRyyy8A2m48NRj83i+u6DI991fG4v7a2OL3S7ifxNIPLkbpYX9Y/dfFENb11Jv818ymYzqvT+heu9Pilz+314WdoE9iuzZoTS3wX/6r8Uex6XDUFw6DH22sJWMKJ+EsiLOJaEsiXq4UFbEuVQ1dPKxpZOPbf5rK2MlQZOa5L820JPx8pdnGNHCjVFtqgFwanxgof0UpWkNywLr9q7vSO/6jsWu/0FLdz5oWfxE2a2XnebG3Sy6+5W+3l3P9dknerYyVrK+X9GTzgdUtyRiRov819Wsjdj4bsl6Mfz39/nTkJeePmQVIconoayIerhQFVTqhghtbjahXw3EueNwHFu/Q/L5/YSvHoFLl+KfIE46vYfaYzYh09Mn+PPuJBzfkf8k8+Oc+rB2scs8+n1W5M22zLhQbOp3zn9t7FaH7JTb5GakoWdcsHKSEReGiZtP/muFgTGGdtXIvBkmLgovQHauloE/hjK8mTPvNHRkf2gyI7aHo7IrvpvinuAkNr1TG32FjO5rg9lxIYG+DZ7c7bb2vOJvUn/WxYMefnaF3g+Nz6Tzv4U8QB0HY26nZZOWlYu5YcE/87D4DHweGT/UWF9BNWtDwhLERaE4TddESR2hRDzfXVBsI4ZQeYnySSgr4lwSypKohwtlRZxLwgPXZhb9oI8UDo1qJHUEoRwQ5ZNQVkQ9XKgqKnVDxL3IIECHU7v3ALBp0JlbHvUeu43Ty4PRt8z7w7Xyb8/92OASHavxV1dLnU+jzkBhbJb/WmGU97Mm616hi4JGfR/9/zzlrGdshiar+Al1hbITdOMeOuC9ACcAOvvYUM/l1mO3GRzohINZ3tiL7b2tCL59v0THujq5canzZWRrMDN4OLmXmWHez/fUmkIXhfvZGuzNCo4JaWagxz21ptTHFQRBeqJ8EsqKOJeEsiTq4UJZEeeSIAjllSifhLIi6uFCVVGp54jIvnsHfSunAu/pWz9+DHSlxcOWP7m+Edqskv0hPw2FgTGazIeFuiYrPe99Q9Mi1jUpdAHIzbxX5LpC2buTno2TecGC1Nm86AmeHrAzVeb/bKSUcz9b+1yyQV4L86OFevq/P5s+cqF4wOQ/6wLcU+cWua4gCOWfKJ+EsiLOJaEsiXq4UFbEuSQIQnklyiehrIh6uFBVVOoeEUpLe7JTbhd4Lzv5JkaONcv8WCdHFN/1rkb/+dgF9iz0vpGLNxmxV7BpkNdVLiP2CvpWjoVapgGMXbxIOLEr/7VGnYE6IRojZ68ySC88ib2Zkttp2QXeu5mWTU3bsu9Wpppb/JiQ87vVoGcR3eS87Y24cjsjv6vcldsZOJrrF2qZBvCyN2bXxYT81xnZGqJT1HjZiS5yL0pq2Ekiv59E/TkHy3RdoWoS5ZNQVsS5JJQlUQ8Xyoo4l4SydjL6LhN3h5doeKXSrCtUPaJ8EsqKqIcLVUWlbogwq9kA0HH7wHc4tOpHysW/uHftPBY+LZ64bWkFfF36GeDtmvQicv04bAO6o7Sw48bPy7Br2rvIda3rdyJm21ySgvZh5duGG3uWYuLuK8bqe0EauJqhA747dZt+DRz4KzyF83H3aFHDosyPFT41oNTb9PK3Y9zuSLr72mJnqmTZ3zfoXa/wxQOgU21r5v4Rw76rSbTxtGLpoRv4OpmIsfpeIAuvgBI3LJRm3dKI27+GuF+/RpuThU2DLtTsPw+5XtFPXNy9coSojVNRJ8dhVqM+qoFfYGCTN1bltR9nknzud7LTEjG0c6daz4lY12ufv23Ed+NJvXqUrIQY6k7YhkWtpmX+Wao6UT4JZUWcS0JZEvVwoayIc0koawHVLUvcsFCadUtjzdEbrPj7Olk5WrrUtePzV1Xo6xU9YMWRyBSm7AknLlVNAzdzlr7ujaulIQCjt4ew62I8SoUsf/3Qac1RyGUF9rHkQDSL/oph+0B/mtawLPPPU1WJ8kkoK6IeLlQVlXpoJrmePt4ffMudvzdxamRtEo7vwMr/5WJvtr1oVr5tcO4wlOAFrxM0vjEGtu64vjomf/n5aW1IOLETAKWZDV4jVnN9xzxOjazDvWvnUA1ZIVX0KkdfT863fbzZdPYOtT8/xY4LCbzsZYW+onz8CbVRWTG0qTOvrw+m8dIg3C0NGNPK9eHyr86z898WaRsTJat7ezHvz+vU+fwU5+LuseL14p+uECqflMuHiPv1a+pO2EbDBSfISoghds/SItfNSU8mZMUQ3HtOJODLYEyq+xG6+oP85QpDU3zGbCBwRQjVe08jbM2HZCVcz19u4l4Hz/eXFOqyLJQdUT4JZUWcS0JZEvVwoayIc0mobA6FJ7Pi7+tsH+jPyfEBxCRnsvRgTJHrJt3PYfDmYCa19+DK1Gb4OpvywdaCcwWMbOVOxIwW+f/9txEiOimTny8n5o8lL5QdUT4JZUXUw4WqQqbT6XRPWum9997jp6OXqT1p94vI9FxdmtMVx7YDsGvaS+ooVVJS0G+ErRjIvqG++DlX7LEGu665xIAAR3r5F90KLDx/E/dEsvFsPE2/jUUmLx8X6AfuxVwiYv04Mu9EY+XbGmRyjJ1UuHcfR2rIMcLXjqHhwrwukWfGB+DUfiDx/2xFnXQDK9+2qAYuRa40KLRuWQhd/QGG9tWp1mM8kNfjIXztaBotPlto3duHNpJwYie+k/IqqBp1Bqc+8qXerD+LfDrm/MyOuHYZiW3DLgXePzM+ANXApeW6R8SJQa5Me6Uag5tU/EYTUT5Ja8Pp20z6+RohkxthVkR35YpEnEvS67nuMufSzWiw8LTUUZ6ZqIdLKzcznTOj6uL66lhcu46SOs4zEeeS9K5+0R9dxGGuftJM6ihFuhiXzrhdYUQnZdLGywqZTIbKzpiP21XnWNRdRu8I4dT4QAAaLzzBoKaubDl7mxt3s2jrbc0Xr9fCQE9eaN2yMGLLVarbGDLh5by69JHIFEZvD+HsxCaF1t146iY7LsSza3A9IG+Ik7pzj/HXRw3xsDFi9PYQXK0M+bhd9WKP1/e7iwxs4sLkPeF88XqtctkjovHCE6S7BOAz9gepozwzUT5J687fPxD1v485PLIens9hWKMXSdTDpbf57B3G74miBLfOhRKq2N+OSyA15BhGTiqUplYkHN9BRlwIlnVbSx1LqICOXUtFZWeElZGSHRcTCInPoHVNS6ljCeWQNjebkK8G4tJxOI6t3yH5/H5CV43AuEvxTwEkntpDnbGbkOnpc2led+KP78CxZd8nHuvEB7WLXVbznc+wC+xR6P2MuND8cUIBTNzqkJ1ym9yMtELjhWbcDMPEzSf/tcLAGEP7amTcDCvUEJFzL4XMWxEYi3FEXzhRPgllRZxLQlkS9XChrIhzSSiN7FwtAzcHM7y5G/0bO7M/JJHhW66iauVe7DZ7LsWzeYAv+npyXltznu3n7vB2oyc/nFJr9j/FLvvsVRU9/R0KvR8Wf58udWzzX/s4mnIrLZu0rNxC462Hxmfg42iS/9pYX0E1a0NC79zPH+Zk3fE41h2Pw83KkNGtq9HpkX3vvZSAvkJOO28boPRD+whPJsonoayIerhQFVT6hojMW+GErx6ORp2BoV01vEasQWlu++QNBeE/whMyGb4tnIwcDdWsDFnTxwtbU6XUsYRyKD0yCJ1Oh1O79wCwadAZU496j93Guf1g9C3zvqhY+7fn/vXgEh0rcMXVJ6/0H1p1BnpGZvmvFf/+rMm6V6ghQpN1H31L+wLvKYzM0GTdK/CeTqshfO1obBt1w9hZdLt80UT5JJQVcS4JZUnUw4WyIs4loTSCYtPQ6eD9JnlzmnWuY0c91xuP3WZQU1cczA0AaF/LmuBb9x67/gMh05qXOt/9bE2BHpPmhgoA7qk1hRoi7mdrCg2pZGaox/1sDZD3Gad3rom5gR6HI5IZvuUq9mZ+NHA35546l8//uMaP7/mVOqNQcqJ8EsqKqIcLVUGlb4hwbPMujm3elTqGUAm829iRdxs7Sh1DqACy797B4D9zIhhYOz92G32Lh90t5fpG5KQnPpdsAHID4wINCZqsdCBvvof/UhiaoMks+EVMk3mv0LqR309Go75PrRFrnkNi4UlE+SSUFXEuCWVJ1MOFsiLOJaE0bqdn42RhUOA95/+8/i9704c3+42UCpLu5TyXbAAm+gruqXPzX6er8xoVTA0URa77YPkD99QaTPTz1vVzefhwUTtvG3r42bPvSiIN3M1Z/FcMr9ezx83K8Hl8DOFfonwSyoqohwtVQfkaVL2CyUqM5fhAF6ljCJVEbEoWLjOOSx1DKAP6lvZk371d4D118s3ncqzjw1XF/hd/fGeR2xi7eHM/9kr+6/uxV9C3cizUGwLA2NmrwLoadQZZCdEFhl+K3jqH+9cvU3vkd8iVj/+SJ1Q8omwSypI4n4RnIerewvMizq3KxcFMn9tp6gLv3UxVF7P2s/GceaTY/3aev1PkNl72JgTfup//+sqteziZ6xfqDQHgbW/MlUd6Z2Rka4hOzsTbwaTQugAyGejIG8v8SGQKa4/H4T/vGP7zjnEzVc2gzcF8c/TxvUOE8kOUTcKzEPVuoTyq9D0iqgJtjpqoDZNJvXoETUYaRs4qqvf5FDPPhlJHEyqw3ZcSWXLoBnGpauxNlSzt4UlAtcI3qoXCzGo2QKfTcevAdzi26kfyxb+4d+08lj4tyvxYTVaWfqxX+6a9CF83DtuA7uhb2HFj7zLsm/Uucl2b+p2I3jaXpLP7sPJrQ+yepZi4++bPDxG79wuSL/yJ7+Sd6BkV7lGhzc0GnRbQoc3NQZuThUyhX+4mFxfKP3Wulsk/R3EkKpW0LA0qOyM+7Vidhm5mT95YEIrwyS/X2Hc1iXvZWmxNlHzQ3Jm+DQqP5S0IRbn11zrij/xARlworl1H4fbauPxlWYmxnJsYiNzAOP89l04jcO02RoqoQgVzbdMnJAXtQ5t1D6W5Lc6dPsChBPOGCQ81cDNHp4PvTsTRr5Ezf4Ymcf5GOi1qWpX5sSJmlL5+/8ZLDozdGUp3f3vsTfVZdug6vesX/RR0pzq2zPk9in3BibTxsmbJgRh8nU3z54f4+XICbVTWGCnl/B2Zws4L8Wzo7wvA1oH+5GoeTrDaaWUQs7vUpLXK+ik+qVDVPe66Jwgl8bh7TEeiUpn6SxRxqdnUdzXli+6euFiKhxwrI9EQUQnotBoMbN2oO+kn9K2cSDi+nZDl71J/wSkUhkU/KSEIj/N35F3m/hHDyje8eMnFlDv3sqWOVKHI9fSp9cG3RH73MdHb5mLl2wYr/5eRK/WfvPELYOXbBpeOQ7k8/3W02VnYNOyK26sPb44EfdIG1y4jsW/SE6W5DbVGrCZq0yeErfkQ05ov4T10Rf6613ctRKanz5nxAfnvuXYZiVvXjwAIXtyXtNC8pzCuLMn7El13wjYsajV9ER9VqEQ0Wh1ulgb89H5dnMz12X4xgXc3hXBqTH1MihjKQBCeZEBjR6a+4o6RUkFkYia91gfj52xKXSdRdxKeTN/KCfceE4j/Z0ux6wR8LSaGFUrPse0A3N+YikLfiMzbkQQv6IVpdT9M3OtKHa3C0NeTs7ZvHcbtCmXO71G09bLmZW8bDPTKx4MwbbysGdbclde/OU9Wrpaude0Y06Za/vLWy07zUSt3etZzwMZEnzVv1WHq3nA+2HqV+m5mrOhdO3/db4/dYNzOUHSAu5Uhi3p4EVDdAgBr44JjyytkYGmkxFhf1JuE0ivJdU8QivO4e0zJ93MYsiWURa/VpJ3KioUHrvPBjnB+Giiue5VRhW6IuPHLcm7/tR6tOgN9axe8hn6NsWstUi78wfWd88lKuI7SzBrnjsPzx+xLDTlG5Lox2Lfsy639a5AbmKAatJys+Giu/7QQdDpq9P8c63qvABC8oBdmqsbcDT5M1u1IzL2bUPO9JShNCz9NkXv/Ltd+mE5q8GFkevo4vTwQ5w7DAEiPPEvUhsmoE2KQG5jg/MoQnDsOK5Pfg8LAuMBNRPtmvYnZMpPM25GYVhcTU5XU8r9vsP7kbTJytLhY6PN1Ly9qORjzR2gK8/+6zvWULKyNlQxv5pw/bt+xa6mM+SmSvvXtWXP8Fib6cpb3VBGdnMXCA9fRAZ93q8Er3nlPnfRaH0xjdzMOR94lMjGLJtXNWdK9JlbGhScgupuZy/R91zgckYq+noyBAU4Ma5Y3z8DZ2HQm/xxFTIoaE305Q5o45y8rC4sOxjKmlSsN/n3S2MlctESXlpmHP/Vm/pH/+sLsrujX7wiARa2mNFx4Mn/Zoz8DuHd/+HTJf9ctKy4dhuLSYWiRy+rPOVjgtWWdltT/7O8i1222Lu6xx/GduP3pAgr5RNmUx1hfwZjWbvmve9ezZ+ZvMUQmZeLnXLg3jlA0cT495GlnlP+zTJb3/+spWaIh4jFE3fshm/qdAEg680uZ7bMqE+fWQ0ZOng9f/Fs4ZSVcFw0RpeTvasafIx+OENBlZRBO/04g3LSGJafGB+Yve/RngI/bVc//+b/rlpWhzd0Y2tytyGWHRjUq8LqlpxVHxjQuct2fhrxU4mM+j89R2Ymy6SFx3Ss9Ue9+6HH3mH69mkxtB2O6+NgAMK6NG77zT3MtKTO/95dQeVTYhojMWxHcOfg9fjN+R2luR9adSBSGeSe03MAE1ZAVGDmpSI88w9UlfTHzbIiJWx0A1Cm3kMn1aLj0Ajd+Xk74Nx9i3aAz9ecfJ/HELq5tnJx/UQCI/2cLPmM2YWDnTuS6MUT/MB3V4C8LZYpYOxoDG1demn+C3PRkrizug5GTCiu/dkT/OAPnjsOwC+xJbkYq6oTYIj9XwoldXNs4pdjP3firqyX63WjUmRjaV3/iukKeiIRMvj99h9+H+WFnqiQyKQuzf5+wNdGXs6KXCpWtEWdi0+m74SoN3c2o45h3o+JWmho9uYwL4xuy/O8bfLgjnM4+1hwfXZ9dlxKZ/PO1/IsEwJZz8Wx6xwd3KwPG/BTJ9H3RfPm6qlCm0bsicLUw4MSYl0i+n0uf76+gsjOinZcVM36LZlgzZ3r62ZGamUvs3aLHPN11MYEpv1wr9nNfnVy4QqvR6rh48z6veOfSbFkQ6lwdnWpbM7V9NQyV5eMpooogNeQYRk4qlKZWxB/fQUZcCJZ1W0sdS6hgRNn0+N9NZo6G6tZiAsaSEudTYfP+iOHbk7fJytHi52xCG0/LkvwqqyRR9y69sx83AMDCpxXVen+C0lQMh1IUcW4VFrNjHrf//BZtdhYm1fywrNumRL9L4aFjUXdR2RtjZaRkx4U7hNy5T2tV2Q/NJFReomwSnoWodz/0pHtMYfEZ+Dwy742xvoJq1oaEJYiGiMqowjZEIFegzc0m81Y4SlNrjBwfPjny6JAf5qrGWNRpRXr46fyLglxpgHPH4cjkcmwadePGnsW4dvkIuZ4+No1fJXL9WHLSk1Ga5f1h2zd7A2PXWgC49ZjAhent8Bz4RYE42akJ3L1yhMZfXkGuNEBh44JDy34knfkZK792yBRKsu5Ek3MvBaWpFXrVLIr8WHaBPbAL7PHUvxaNOpPwbz/CpfOHRU48KxRNIYdsjZbwxEysjZV42j4s7Jp6PPy3alzNnFY1LTgdk55/kTDQkzO8mTNyuYxudW1YfOgGH7VwRV9Pzqt1bRj7UyTJ93OwNslrkX6jnj21HPLGDJ7Q1o12X1/gix6PPPkEJNzL5kjkXa5MboyBnhwXSwX9Gjjwc3AS7bysUMplRCdlkZKRg5WxEgujov+Ue/jZ0cPPrlS/i4R7OeRodPxyJYmd79dFKZfx3g+hfHUkjo/bFv3UjlBYxq1wQlcNR6POwNCuGrVGrEH/36ewBKGkRNlUtMxsDR/tDOfD5i5FTuwoFE2cT4VNbl+Nie3cCYq7x9GoVPQUsqfaT5Ug6t4lpjS1xnfar5i41SHnXgrXNk0h4ttR1B69oUyPU2mIc6uQaq9Pxr3HRO5FBZEachSZQlzrSis8IYNhP14hI0dDNSsjvnnLB1vT8jFMqlBBiLJJeAai3v3osR9/j+l+tgZ7s4Lls5mBHvfUmlIdR6gYKmyNxsjBg+q9p3N9x+dk3YnCql4Hqr/5KXrG5qSFn+b6jnlk3gxFp9XkPUny7wUB8r4cPJgoVa6f9ySl8t8bhAr9vMJBo76ff1EwsHbJ39bAxhWdJoec9OQCedRJN9Dlqjkzpl7+ezqtBnOvvHHTaw5YSOyuhZyb3BxjZ0/ce03FXPXkJz5LQ5ubQ9jKIRg51MD1VTEZXml42BgxvUN1Pv/zOlFJWXSoZcWnHatjbqjH6etpzPvzOqHxmWi0OrJytfkXCMgbe1Muz7txYfjvuKO2pnkXBCNlXov3/WxN/kXCxeJhFzRXSwNyNDqSM3IK5LlxV41ao6PewjP572m0uvyJfBa+VpOFB2JpvvwcnrbGTG3vTuMymkj6Qa+H9wIccfj3YjCkqRMrRENEqTi1eRenf7vnCsLTEmVTYTkaLUO2hlHDxogxrV3LdN+VnTifiiaXy2joZsauiwl8f/oOAwOdyvwYlYGoe5ecwtAE0+r+AOhb2OHx9lzOjquPRp2JwkA82fdf4twqmkwux8yzIQknd3Hn0Pc4vTywzI9Rmb0b4My7AWU3rIhQ9YiySXgWot790JPuMZnoKwo1OtxT52Iq5gGslCpsQwSAXdNe2DXtRU56MuGrh3Pzt5W495xIxLcjce4wDPsWbyFXGhDy1UBA99THUSfHFfhZplCiNLNGnXwz/30DKyfk+kY0Wh6cf8F5lJGjJ17DV6PT5HL70AbCVw+nwaKzhdZLOLGTqO8nFpuluEnvdFotEd9+hEwux3PgF8hk4om+0urlb0cvfzuS7+cwfHs4K4/eZGI7d0buiGBYU2fe6m+PgZ6cgT+EPMPZBHGp6gI/KxUyrI2V3HzkfSdzA4yUcoInNsq/AD3K09aI1b29yNXo2HDmNsO3h3N2XINC6+28mMDEvVHFZgmfGlDoPUsjPZzM9ZHx8LjibBIE6Yiy6SGtVsdHOyOQy2R80cNTXOuegjifiqfRQnRyVonWrapE3ftpPTi/n+WvqnIT59ZjaDVkxUeXbF1BEMqUKJuEZyHq3XmedI/Jy96YXRcT8l9nZGuITlHjZSce3qiMKmxDRObtCLLvxmPm2RC5vhEyPX1k8rzWMk3WffRMLJHp6ZN65QipwYcxcfN56mMlHNuGbWBPDGzciN21EOuGXfKP9YC+lSPm3k2I2T4Xt1fHItc3IvN2BNrsTEyr+5NwYieWdVujNLVGYWgCsqJb9uwCe2IX2LPUGaO+n0h2ajw+YzeJrrtPISIxk/j0bBq6mWGklKOvkKH49wbX/WwNlsZ66CtkHIlK5XBkKj6PtFaX1rYLCfT0s8XN0oCFB2Lp4mON4j8XAkdzfZpUN2fuHzGMbe2GkVJORGImmTla/F1M2XkxgdaellgbKzExUFDcSBI9/ezo+RTDVfR5yY71J2/RxtMSPYWMb47f4mUvMaZqeZaVGMvZCYFPnDxaqFhE2VTQxL1RxKdns+kdHzGEzlMQ59NDmdka9gQn0bm2NSb6Co5Fp7HrUiLL/tONXXhI1L0L0mly0Wlz0Wk16DS5aHOykMn1kCn0SI8KQs/YHEP7GuRm3CX6h2lY1G6OwsD4qX4flZ04tx7SqDNJOr0H6wadURiYkBZ6jMQTu/AcuOypP7Pw/MWmZBGw6CQ357aSOopQhkTZVNDjrntCYaLeXdDj7jF1qm3N3D9i2Hc1iTaeViw9dANfJxMxP0QlVWFLDG1ONjHb55J5Mxy5nhILn5Y4dxgGgEe/ucRsmUnU9xOx9GuHlf/Lz3Qsu6a9iVg3hqxbEZh7N6Hm+0uKXE81aDkx2+ZybmpLtOoMjBxr4tZzAgB3Lx0k+ocZaHPUGDl4oBq0/JkyPUqdeIP4I5uRKQ05Pco3//0a/ec/1QWmKsrO1TL3jxjCEzJRKuS0rGnBsGZ5XXnndvFg5u8xTNwbRTuV5TPfkO9dz44xP0UQkZhFk+rmLOles8j1lvdUMXd/DC2/PEdGjpaaNkZMaJc3NNLB8LvM2BeNOleLh40Ry3sWnojoWYxu5UpyRi4tvjyHgZ6cV+vY8EELlydvKAhAxs1wojZO4V7MJZRmNlR/4xNsGnQCQJ18k5Cvh5B15xo6nQ7TanWp0XcOxi5eEqcun0TZ9NCNu2o2B8VjqCfDd8Hp/Pfnd6vxVJXhqkicT4+Qwc6Licz8LZpcrQ4XCwOmtnenY20xmXBxRN27oBs/L+PGnoe54n5ZjuurY3F7bRzqhOuE7/ycnLREFEZmWNZpiWrwV2V6/MpEnFuPkEHiiZ1Eb5mJTpOLgY0L7m9Mxbp+x7I7hlCpTd0bzr7gRO5la7Az1WdECzfebvRwyMGMbA2z90Wx53I8uRodPk6m7BpcT7rA5Zgomwp63HVPKEzUuwt63D0mGxMlq3t78cmv1/hwezgvuZqxoojJtoXKQabT6Z7YA+i9997jp6OXqT1p94vIVK4EL+iFXdM3sG/eR+oolUJS0G+ErRjIvqG++DmbSh3nheu1Ppg36tnR5yV7qaNUChP3RLLxbDxNv40tsntqVVJeekToNLkEfdIax9bv4Nx+EKmhx7m6bAD1Pv0dI8eaaNQZZN+9g6F9ddBpuX3we+4c+YF6n+6XNDfAiUGuTHulGoObVL3x4UXZVLY2nL7NpJ+vETK5EWZVcDJtcT6VrZ7rLnMu3YwGC08/eeVKQNS9n5/czHTOjKqL66tjce06Suo4L5w4t8rW1S/6o4s4zNVPmkkdRXLlqUdEeEIGrpYGGCkVRCZm8Po3F9j4ri91//3u/eHWq2h0OuZ0VWFppEfwrXv4uZhJnBoaLzxBuksAPmN/kDrKCyfKprJ15+8fiPrfxxweWa/ABNGVlah3P1+bz95h/J4oSnDrXCihqvftWBAE4TmI/Xk5t/5aj1adgYGNC15Dv8bEtRbJ5/8gZud8shKuozSzxqXT8PxJrFNDjhG+dgwOLftyc/8aFIYmqAYtJys+muu7FqLT6fB893Os670CwKX5vTBXNeZu8GEyb0di4d0Ez/eXoDQt/ARF7v27RG2ezt3gw8j09HF+eSAuHfOe4EmPPEvkhslkxccgNzDBpcOQ/GXPKuNWBDlpiTi/MgSZTIZl7eaYqxoRf2wH1XpOQGFgjJGDBwA6HSCXkxUfUybHFgRBEARBEKqe5YdiWHf8Jhk5GlwsDFj5pg+1HEz4IySJ+X9cIyY5C2sTJSNauOVPYH0s6i6jd4TwdkMn1hy9gbGBgi971eJaUiYL/4xGB8x/TcUrtfMmGH792/MEVLPgUHgKkYkZNPGwZOnr3lgZKwvluZuZw/SfIzkUnoy+npxBTV0Y1jzvqeOz19OYtCecmORMTPQVDGnmyvAWbmX2u1DZPRwC7sHIKtdTMqnrbEp4Qgb7Q5I4OyEw/0GJ8tAIIQiCIFQdoiFCEAThGWXciuD2we+p9+nvKM3tyLwdiZ5RXqVeYWiC99AVGDmpSI84Q/CSvpjXbIiJex0A1Cm3kCn0aPzFBWJ/Xk7Ymg+xadCZBguOk3BiF5EbJuc3RADE/7MFn7GbMLRzJ3ztGK5tno7XkC8LZQpbOxpDG1caLDhBbnoylxf1wchZhbVfO6J+mJE3uVqTnuRmpJKVEFvk58o7/pRiP3fgiqsl+v3odDoy4kILvHdmfGPUKbdBp6Vaz+InSxMEQRAEQRCE4oQnZPC/U7fY/2ED7EyVRCZmYmaQNza+ib6CFb1ro7Iz5vT1NPp+d5GG7ubUccrrHXArTY1CIePC5KYsOxTDB9tC6FLHlhMfB7DrYjyT94TnN0QA/Hj2Npvf88PdypAxO0KZ9nMEX/WuXSjTqO2huFoacHJ8AEn3c3hz3UVUdsa087Zhxq8RDG/uSs96DqRm5nI9JbPIz7Xzwh2m7Cl+0uCQac2LXfbZ71F8ezyOrBwtfs6mtFblDTt4/kYarpaGLPormu3n7+BgZsD4dtXpVMe22H0JgiAIQlkSDRFPUGfCdqkjCJXI9vfqSB1BeA5kcgW63GwyboZjYWqNsdPDyU4tajXN/9ncqzGWdVqRFn46vyFCrjTApeNwZHI5to26Ebt7Ma5dP0Kup49t41eJWDeWnPRklGZ5XyDsm72BiWstAKr1nMC5ae1QDfqiQJ7s1ARSg49Q66sryJUGKGxccGzVj6TTP2Pt1w65QklWfDQ591JQmlphWs2iyM9lF9gDu8AepfpdGDnWRM/EirjfVuUNzRRyjLTQEwV+DwANF55Co84k4fh29K2q3lBI5Y0om4SyJM4n4VmIurfwvIhzq3LSk8vIztUSnnAfa2NLPB/pEdC0hmX+zwHVLWjlacWpmNT8hggDPTkjmrshl8t41deOxQdi+KiVO/p6cl71tWPMjlCS7udgY5LX66F3fUdqOeRNKDuhfXXaLj/Dsl61CuRJuJfNkYgUrk5rhoGeHFdLBW83cmLv5QTaedugJ5dxLSmTlIwcrIyV+BoV3SOhp78DPf0dnup3MqVDDSa19yDoRhpHI++i/HfW2VupakLu3KdzHVvOTWzC2dg0+n9/md8c6lPT1vgJexWeF1E2Cc9C1LuFikY0RAiCIDwjIwcPqveZzvWdn5N5Owrrlzrg8ean6BmbkxZ+mpgd88iIC0Wn1aDNzspvhABQmlrnz28h1zcEQN8876kkhX7emJYa9f38hggDm4eThhvYuKLT5JCTnlwgjzrpBtpcNadG18t/T6fVYOEVAEDNAQu5vmshQZObY+TkSfVeUzH3alwmvwu5npLaI9cStWkacb9+hWl1f2wbdUOmp19oXYWBEQ6t+nF6tD/1Zh/I/9yCIAiCIAiCUBIeNkbM6FSTz/dfIyoxk1dq2zKzS03MDfU4FZPKvP3XCLtzn1ytjqxcbX4jBIC1sRK5PO8mvaEyrxeFrWlendXo39cZ2Zr8hggXS4P8bV0tDcnR6EjOyCmQ50ZKFmqNFv95x/Lf02jzGkIAFvXwZuGf0TRbcgpPO2OmdqiRv6wsyeUyGrpbsPN8PP87eZNBTV0xVCpQKmSMbl0NPYWMJh6WNPGw4O+IFNEQIQiCILwQoiFCEAShDNg37YV9017kpCcTumo4cb+tpFrPiYR9MxKXDsNwGPcWcqUBV78c+O/kCE9HnfRwMmp1chwyhRKlmTXq5Jv57+tbOSHXNyLgy+AiJ/E2dvKk1ojV6DS53D60gdDVw2m0+Gyh9eKP7yTy++KHTWqysuju4iZuPvhO2pH/+uLcV7Fv9kbRO9Hp8iawTrklGiIEQRAEQRCEUuv1kgO9XnIg6X4Ow7dcYeWRWCa292DkthCGNXel73t+GOjJeX/jZZ5lutG4u+pHfs5CqZBhbazkZurD950sDDBSyrkytVl+I8ejPO2MWf2WD7kaHd+fusmILVc4O7FJofV2nr/DhN1hxWaJmNGiRJm1Oh3RyVkA1HY0KbRcJiucURAEQRCelyrTEBG7ezHqxFg8B34hdRQAjg90Qa5vhEvnD3DtNua5Hivyu49JOLELfXNb6i84+VyPVRUsPhhL7F01X/TwfPLKL4DLjOMYKeV80NyFMa1dn+uxPt4dya6LCdia6nNyTP3neqyKJONWBDmp8Zh5NkSub4RcqY9MnvcUlSbrPnomlsj09Ll75Qh3gw9j4ubz1MeKP7YNu8CeGNi6cX3XQmwadsk/1gMGVo5YeDchevtc3F8di1zfiMxbEWiyMzHz8Cf++E6sfFujNLVGYWhSaPsH7Jv0xL5Jz1JnvB97BSPHGui0Om4d+I7s1Hjsm/UGIDXsJHKFEtPqfmhz1FzfvRiFkRnGzqrS/zKEQkT5JMqnsiLOJXEuPYuqXO9+nKyEGC7MeBltdhY1ByzCvnkfybJUZFX5/BLf6wqLSMggPj2bhu7mGCnlGCjkyP+9uX5frcHSSIm+QsaRyBQOR6Tg80iPiNLadu42PevZ42ppyII/o+lSxw7FfxobHM0NaOphyZzfoxjXtjpGSjkRiRlkZmvxdzVj5/k7tPayxtpYiamBosjGCoCe9RzoWa90QzNlZGvYezmBzj62mOgrOHbtLjsvxOcPHxVY3QIXCwO+PHydka3cCbqRxvFrd5nRqcbT/UKEAkTZJMqmZ1GV696PE5OcxcsrL5CVo2XRazXp85K9ZFmEslFlGiLKI//ZBzG0dct/nXrlCFGbppKdHIdpjfp4vv9FgWFYipMeeZbrO+dz//pl5HpKLH3bUv2tWfmT5dYcsAjbwJ5ErpPui5fwfB38wB83K8P815nZGmbtj2FvcBK5Gh0+jsbsfL9uifZ1+dZ9Pt4dSXhiJl52Rix+rSY+/z49s+i1mvT0s2XMT5HP5XNUVLrcbKK3zSXjZnje32Cdljh3GAZAzX5zubZlJpHfT8TKrx1W/i8/07Hsm/UmfN0YMm9FYF6rCar3lxS5ntfg5URvm0vQlJZo1BkYOdakWs8JANy9dJBrP8xAm6PGyMED1aDlz5Tpv+KP7+DO3z+g0+Rg4RVInY9/RK7M68quzc4kastkshJjkSsNMK3uj8+YDciVhk/Yq1BRPVo+nY1NZ/5f17l86z5KhZy2KktmdaqOmWHJqiOifKraHj2XbqaqGbI1jGtJmeh0UNfJhDmdPfCyL9nQEuJcqnrKqt6tzc0mfPUH3LsWRHbKbV6af6LAfmN3Lybul+UFhiT0n/knhnbVMLSrRsDX4QQv6FW2H06QXFmdX+rkm4StHELm7WuADhP3uni8PQdjZy9AfK8rSrZGy5zfoghPyEBfIaOFpxXDW+TdNPvsVU9m/hrJxN1htPO25uVaNs90rN71HRm9PZSIxAyaeFiy9HXvItdb/kYt5vwWRYulp8jI0VDT1piJ7T0AOBCWzPRfIlHnavGwMeLL/8wx8SxkMthx/g6f/hJJrlaHi6UBn3SoQSefvF7HSoWc9f3q8vGuUL76+zquloZ8+UYtaohhmSqtF3XtE2VT5VSa+0w6nY7P/rjO5qB4APo1sGfSy+4l6nX1uG2rWRsSPjWAXuuDn8MnFKQgGiLKiZz0ZEK/HkLNAYuw8m/H9V0LCV/zAXUn//TEbXMz0nBsOwDLOq3Q6bREfDOSmK2zqfnugucfXCiXJuyNQqPV8feH9bAw0iP49v0SbZedq+X9H0IY2tSZfg0d2HjmDgN/DOXvkfVQKgoP8SPkMXHzwX/aL0Uus238KraNXy1ymUWtpjRc+PCJEUNbN5qtiyuwzn9fG9pXx79n4eGS/rutnoklngMWFnlcryFfFv1ByohH72l49J5W5DKruq2xqtv6uR5fKL/SsnIZ0NiRVjUt0ep0jNwZwez9MSx4teYTtxXlk/AoSyM9vuzpSXVrQ7Q6+P70bT7cEc7+4f5P3FacS8Kz1LsBzL0Dce40nMtzuxW53DagR7l5IlZ48Z7l/NIzscRz0JcY2lcHnZbbB78nfM2H+H+6/7nnrqh8HE35dUTRvdde9bXnVd+in55tWsOSU+MD81+7WRlyc26rAuv893V1G6P8BoVH/XdbSyMli3oU3UjxVe/aRX+QMmCkVLD1/cdfB70dTNg7TPT2q4qe97VPqPwed59p45l4/ghL4c8RfgC89f1Vqlkb0rfBk3t2Pcu2QsVTob5txf26grBVwwu8F7F2NLG7854IjvvlS4ImBnJyhBcXPn2FtLCiu4SlhhwjaEJAgfeCJgSQGpI3oZROq+XG3i8ImhjI6VG+RH73MRp15nP4RA8lB/2KsWttbBp2Qa40xO21cdyLuUTmnWtP3NbKtw02DTqjMDRBz8gM+5Z9SY8sPN678NCKI3EM31ZwzM3RuyJYcjAWgC//jiNwaRBec0/yysoLnIxJK3I/x66lErA0qMB7AUuDOHYtFQCtVscXh28QuDQI3/mn+Xh3JJnZmufwiR6KSMhkf2gK87vVwNpEiUIuw8+5ZF2Qj0fnfc6BgU4Y6MkZGOhErlaX/74gCM9fZS6f2qis6Oxjg4mBAjNDPfo2sOdsbHqJthXlU+lV5nPJWF+Bh41R/lNWcpmMmBT1E7bKI86lkhH17qLJ9fRxenkgZjXEjbxnIc6voikMjDFy8Mgv22RyOeqEmOeaVxCEh0TZVDRx7SuZylz3ftJ9pm0X4hnW1BkncwOczA0Y2sSJrecTSrTvZ9lWqHgqVI8I28avcePnZWjUGSgMjNHmZJF87jd8p/0KgKGDB3Wn7EFpZsPtv9YTtmo49ecfzx8SpKRu/fENd4MPU3fybhRG5kR8+xE39iym2hufFFo34cQurm2cUuy+Gn91tUTHzIgLKzBuvMLAGEO7amTeDMPIofBTF4+THnEmv/uuULTXfG1Z9vcNMrI1GOsryMrR8tvVZH4d6guAh40hewbVxcZEyfqTtxm+LYzjo+tjoFe6trtvTtzicMRddg+qi7mBgo92RrD40A0+eaVaoXV3XUxgyi/FVwKuTm5comOei7uHq4U+iw7eYMfFBBxMlXzc1o1OtZ/cFTk0PoPaDgUnMavtYExYfCYta1qW6PiCIDybylw+/deZ6+klHkpHlE+lVxXOpcZLznI7PRutDia2dS/RNuJcKhlR7356yed+49TIOuhbOuDU7j0cWr/zzPusbMT59Xhnxzcm++5t0Glx71G4J6wgCM+HKJuEZ1GZ695Pus8UFp+Jj+PD73U+jiaExZesIf1ZthUqngrVEGFg64qJW21Szu/HNqA7KRcPYGjvgZFD3uRKNg275q/r1H4QsXuWkBUfjbFL0d0iixN/ZDM13pmPvmVeNyCXLh8StnJokRcFu8Ae2AX2eIZPlUejvo++RcFuo3rGZmiy7pVqP2nhp7hzeGOJu9dVVa6WBtR2MGF/aArdfW05EJ6Ch40hNWyMAOha5+FN+0FNnFhyKJbo5Cy8S3jD7IHNZ+OZ360GDmZ54wR/2MKFoVvDirxA9PCzo4ef3TN8qjy30tSExGfS2ceGoHENOHsjnXc3heA11JiatkaP3fZ+thZzw4ITF5sb6HHvObeuCyXjO3G71BGEF6Ayl0+POhWTxsYzd/hpYMnmrxHlU+lVhXPp1NgGZGZr2H4hEScL/SdvgDiXSkrUu5+OTaNuOLR8G6WFHfeiggj9egh6JpbYNBJDWTxKnF+P12DhKTTqTBKPb0ffyumZMwnPbsegelJHEF4AUTYJz6Iy172fdJ/pfrYGM4OH9WszQ0WJ69bPsq1Q8VSohggAm8bdSTy1G9uA7iSd2o1twGv5y+KP/MjN/WvITrkJyNBkpZNzL7nUx1An3SBk+bsge9AqqUOnfb5/BAoDk0IXgNzMeygMSzakDsD9G1cJ+3owqkHLRY+IEujua8PuS4l097Vl9+UkXqtrm7/sx6B41hy/yc3UbGQySFdrSM7IKfUxbqSqeXdzCPJ/5+fR6UCj05XVRyiSoZ4cpULGqJau6ClkNKluQZPqFhyJTH1iQ4SJvpx0dcFzPV2twVRfUcwWgiA8D5W1fHrg6p37DN4SxvLXVSXuESHKp6dT2c8lACN9Bf0a2uO/8AwHRtTD1lT52PXFuVRyot5deo/Wwc08G+H08kCSzv4iGiKKIM6vJ+3HCPtW/Tgzxp96sw6gNLd98kaCIDwzUTYJz6Ky1r2fdJ/JRF/BvUfq1/dKUbd+lm2FiqfiNUQ07Mr17XNRJ8eRcukA1frMACArMZaoTVOpM34rph4vIZPLOTXSJ+8v8j8UBsZosh+Ov6fTashJT8p/rW/lhOeg5SUa/y7hxE6ivi++u2zA1+El+lzGLl4knNiV/1qjzkCdEI1RCRsUsuKjCfmiH9X6fIqV/8sl2qaq61rHhrl/XCcuVc2B8BRmdMhrPY5NyWLqL1FsHVCHl1xMkctl+Mw7VdSphLG+gsychwWmRqsj6f7DC4mTuT7Le3pS39XsiXl2Xkxg4t6oYpeHTw0odtmjajuaFHrv32Fmn8jb3phvT9wq8N7VO/cZGOhYsh0IT3T9p8Wok2JRlZNJLI++74Jc3wjXzh/g9uoYSbOcndwCdWIsdoHdy83vRyqVtXwCiE7Oot/GED7tWI2XvaxKvJ0on55OZT6XHqXTQUa2lltp6ic2RIhzqeREvbssyIr8vQji/CoRnQ6tOgN1yi3REFEGFv0VzY2ULL7oVUvqKAA4Tz2MkVLOhy3dGdO28JPML4pGq8N79j9k5+r4qLU7H7erLlmW8kCUTcKzqKx17yfdZ/KyN+LKnQx8/5034srtjBI/cPYs2woVT4VriNC3sMPMsxGR68ZiUs0PA2tnALTqDGQyUJrZgE5L3K8r0WQWPQGmoUMNtOoM7l4+hHmtZsT98iXa3Oz85Q4t+xG7awE131uCgbUz2Sm3yYgLwbJu60L7sgvsiV1gz2f+XNb1OxGzbS5JQfuw8m3DjT1LMXH3zR+rL3b3YtJCj1NnQuGhWdTJN7my+E1cOo8sky57VYWdqT6N3M0Y+1Mkfk4mOFvkjeuYkaMFmQwbEyVaHaw8ElfoyckHatgYkpGt5VDEXZp5mPPl33Fka7T5y/s1cGDBX7Es6V4TZwsDbqdlExKfQWtPy0L76ulnR88y6DIXWM0MFwt9vjwSx8gWLpyLS+d4dBrT/70AbjkXz5JDNzg5pnClp0l1cwDWn7xF3wYObD57B7lMlv++UDm9NOcghrZuAGhzswlb/QHpUUFkp9ymwYIT+ctKIvn8fmJ2fE5WYiwmrrXxHLAIY5e8yu2df7Zw6891ZMVHo2digWPr/rh2+TB/2wbzjuQ31FR1lbV8upmq5s3/XWFkC5ciuwiL8qnsVdZz6WRMGkqFDD8nU9S5WhYfisXMQIHKLu9LiziXyoaodxc9JKI2Rw3k3TnQ5arR5mQh0zNAJpORfO53zL0CUBhbcO/aeW79tY5qb0x95syVkTi/Cp9faWEnkekpMa3mhzZHTezuxSiMzDB2Vj1zLqF8OjSqEW5WhkBePWnID8FEJWai04GvsylzunniZZ93A3DRX9EsP3Qdfb2Hd//+GtmQataP7/UOcDQqhUV/xXAxLp16rmYFhppSyGVEzGjB6O0hZfvhKihRNpX+2ic8VFnr3k+6z9TL345VR2/S6t/51lYfu8ngJg+HFgxYGsTY1q70ecm+0L6ftK1QuVS4hggA24DuRK4fi8c78/LfM3bxxrHt+1yc1Qm50gDHl9/Pv2D8l56xOR5vzyVi3Rh0Wg0uHUdg8MjYm06vDEan0xK88A1y0xJRWjrg2Lp/kReFsqI0s8FrxGqubfqE8DUfYlbjJVRDVuQvz065hZlnwyK3jT/yI+rEWGK2zyVm+9z890vaMl6Vdfe1ZexPkczr+nByJm97Y95v7Ein1Rcx0JPzfoBj/sXjv8wN9ZjbxYMxuyLQ6HSMaOaCk/nDdQc3cUKr0/HGd8Ek3s/FwUxJ/4aORV4gyopSIWfdW7X4eHckK/6Jw9XSgC97euaPS3grLZtGbkW3nOvrPdx2zv4YVHbGrH3LG6WidJMnCRWbuVcgLh2Hc3Fu6YaRyLwTRdiakfiM3oBZzfrE/baSq1++R/25h5Ep9NDmqKnRbw6m1euhTo7jyuK+GNi4iAbUYlTG8unHoHhi76qZ+0cMc/94OAHZgydxRPn0fFTGcykzR8vkn6OJvavGQE+Ov7MJG/rVxlCZdz6Ic6nsiHp3YeentkSddOPfn1sB8NL8vIb7xFO7iVw/Fm1uNvpWTrh2GVkmN5AqK3F+FaTNziR6w2TUSbHIlQaYVPen9ugNyJWGzy2vUH5YGunx5Ru1qW5tiFYH/zt5kw+2hvDHhw3y1+npb/9UPTqMlQreaezE9WQrjkSmlGXsSkmUTYU97tonFFQZ695Pus/0TkMHrqeoaff1eQDebuDAW/XzGh1yNFpSMnJoUEwPjsdtK1Q+Mp3uyX2F33vvPX46epnak3a/iExVwomhNZAr9XHuOBzXrqOeuP7FWR2pPXYzSlPrUh8r8vsJJJ3cjdLCnpc+O/I0cctMUtBvhK0YyL6hvvg5i7EIy0KN2SfQV8gZ3syZUa1cn7h+vw1XmdGxWv5To6UxYU8kuy8nYW+q5MhHLz1N3DI1cU8kG8/G0/TbWGTyF3cD6cavK7h//TLew1bmvxe+djQGtu64vzaWG798ye3Dm8hJT8bIoToefWdj4ZV3o/XRoZlSQ44RvnYMDReezN/PmfEBqAYuxaJWU3RaLTd+Wc6dIz+iybqP9UsdqNF3NgqDJz/1VFJH33cpttfD45YV5dZf60kJPozPR98BoNNqOTFcRe1R32Hp06LQ+td+nIlOk0ONt+fkvyfl0FUnBrky7ZVq4umLMlRVy6cNp28z6edrhExuhJlhhXzmo9ypqucSQM91lzmXbkaDhaeljlJhvch69+NkJVzn4swO6DTZ1HhnPnZNe5Xp/p8kNzOdM6Pq4vrq2BL9HoSSqarf665+0R9dxGGuftLshR73q7+vc/nmPVa96ZP/3ujtIbhZGTKuXXW+PHydjadvkXw/h+o2RszpWpOA6pZAwaGZjkXdZfSOEE6ND8zfT+OFJ/ji9Vo0rWGJVqtj+eHr/HD2NvfVGjrUtmF2V0+My3Dccuephzn5cUB+j4hHabQ6Np6+xdzfowib3rxQ/qe1Jeg2W4NuFzn59ujtIbhaGUoyNFPjhSdIdwnAZ+wPL/zYlVVVLZvu/P0DUf/7mMMj6+H5hDkyheKVtu79OGdi01l34hZfv1H6YcCup2TRYdVFsjU65nerQS//Z+/dURqbz95h/J4oSnDrXCgh8e1YIoGrix+jrSh+03976mPV7L+Amv0XPPX2QvkWNS3wySs9YuM7tZ/6WAtercmCV2s+9faVhW3j14jduwyNOgOFgTHanCySgn7Df/qvABg6eOA3dQ9KMxtu/bWe0JXDabjgOHJl0U88FOfmH99w9/Jh/KbsRmFkTvi3HxG7ezHVe39SaN2EE7uI3DCl2H0Frrhaug/5tApcoHXodDoy4kKLbIhIiziNfbPeLyaXIAlRPgllRZxLwrN4kfXuxzG0c6fxVy/oeiy8MOJ73YvV3deeZQevk5GtwVhfQVaOln1XEtk3Im8oPg8bI/YOfQkbEyXrT8Qx7MernPg4AAO90j209M2xGxwKT2bPkHqYGerx0fYQFh+IZlrHwteHnRfuMGVP8aMRhExrXqpjN1p4gttparQ6mNTeo8CyfVcS2T/nKA5m+rzfxIV3Ghf9RL4giLJJeBalrXs/TkM3MxoW01P5SdytDLk6uXGZZRGkJxoiBEEQSsnQ1hUTt9okn9uPXWB3Ui4ewNDeAyOHGgDYNuyav65z+0Fc372ErPhojF28S3WcO39vpmb/+ehbOgDg0vlDQlcOLbIhwi6wh+RDHFn4tCB6+2ekhhzDzLMhcb+uQKfJRvvIRG0P3Nj3NZrMe9g3e0OCpIIgCIIgCEJF5GplSG1HE36/mkQPf3sOhCXhYWNEDdu8HnBd6z58WnZQU1cW/xVDdFIm3g6FJ1p9nE1nbrPgNRUO/w6HMrKlO0N+vFJkQ0RPfwd6+js8w6cq6PT4QDKyNew4f6fAcCyv+trRr5ETdqb6BMWmMXjzFSyNlHTzfbFPCAuCIAjC0xINEYIgCE/BLqA7iad2YxfYnYSTu7ELeC1/2Z0jP3Jz/xrUyTcBGZqsdHLuJZf6GOqkG1xd9i7IHjzBpUOnLXpCq/LA2MkT1cClRG36hOzUeOwCe2Ls7IW+VcGhjuKPbefWn2vxnbQLhb7oLisIgiAIgiCUXHc/e3ZfjKeHvz27LybQ3f/hWOI/nLnFmqM3uJmqRiaDdLWG5IycUh/jxt0s+m+4jPzfeXh1OtC8wKE5jPUV9GvkhN+84xz8qCG2pvr5k1YDNKpmwcCmLvwcnCAaIgRBEIQKQzRECIIgPAWbhl2J3jYXdXIcKZcO4PHmDACyEmOJ2jiVuhO2YurxEjK5nBMf+vxnyKI8cgPjAr0FdFoNOelJ+a/1rZzwGrQcs5r1n5gn/vhOIr+fWOzyJitfzOT1tg275vcIyc1I5fSRHzD1qJe/POnc70RvnUPd8VswtHN/IZkEQRAEQRCEyqObrx1zf48i7m4Wf4UlMaNzXi+F2JQspu6NYNtAf15yNUMul1F79tGiquEY68vJzNHmv9ZodSTdf9hg4WxuwPI3alHfzfyJeXaev8OE3WHFLo+YUXiI0pLQ6SAjW8PNVDW2pvqFlstkgBi2XBAEQahAnsvsrvH/bCF4wYudfE2onLaci6fX+mCpYwhCIfoWdpirGhG+diym1fwwsM4bn1WrzgAZ6JnZgE7LjV9XoMlML3IfRg410KgzSLl8CG1uDrF7l6HNzc5f7tiqHzG7FvzbswLUKbdJuXyoyH3ZN+lJk5Xhxf5XGtocNdqcrAI/P5ic6c4/WzgzPqDYbe9FX8xrUElLIuK7CVjXewVjJ08A7l45QsT6cdT+aH2ph6kqb0TZJJQlcT4JZUnUw4WyIs4lobyyM9WnUTULxuwMxc/ZDGeLvOGLMrI1IAMbEyVaXd7E1unq3CL3UcPWmIxsDYfCk8nRaPniYAzZmocNE283cmL+H9e4maoG4HaamkPhRfdw7lnPgYgZLYr9r6RORt8lKDaNXI2O+2oNs3+PwsxAL78nxG9XErmbmYNOp+NcbBrrjsXRobZN/vaNF55gS9DtIvet1erIytGSq9Gh1UFWjpbsXG2R61YEonwSyoqohwvCi1Wle0SkXDpA3M/LuR8bjMLAGCNnb1w6f4hlnZbE7l5M3C/LkenpI5PrYeSsonrv6Zh5NgQgNeQYVxb1Rv6fYUV8P/kVY2cVaeGniNk2h8ybYSBTYOzsSfU3Z3L3yt/E/fIlADqNBp0mB7m+IQAGNq7Um32Q4wNd8vYrk+Xvt3qfGTi06kfE2tEknvwJmV7eExGG9tWwadAZpw7DHjvEyeM+K0DGjRBits8lPfwUAGaqxrj3moKJa95kj/H/bCHh2DbqTNheYL9BEwKo+f5SLGo1zX8vZsc8bv76Ff6zD2Ls7FX6f5gKptf6YI5Hp3HoQ39Udsb577/67SXOxt7jxOiXcLMyzH9/3h8xfPXPTQ5+4I+X/cP1UzNzmfl7NAfC75KRrcHeTJ83X7LnwxYuALjMOF5gX0sOxrL1fAJbB/hw466a3v+7gpGyYNvir0N8UdkZE7A0iMR72cjlMvQVMmrZG9O3gQOv+xffjddlxnGMlHJkMjDQk9OyhgXzutbAwiiv2MjK0bLwwHV+upzE3cxc3CwNGBToRL+GD8dHffS4SrmMBm5mfN6tBi7/flnotT6YoBvpKOQyFDIZPo7GzO3igYGenM6rL7F7UF28//0d6XQ63vjuCs1rWDC6letT/VuVNdvG3YlYP5Ya78zLf8/YxRundu9zYWYn5EoDnF5+P7+R4r/0jM2p0W8u4WvHgFaDS6cRGDwyjJHzK4PR6bRcXvAGOWmJ6Fs64NimP1Z1Wz/XzxU0pSXqpBsAnJvaCoAGC05gaOtGdsotzFSNit02avN07sdeQa6nxLZRN6r3mZ6/LPbnZeRmpHF54cMJqs1VAdQZu/E5fZKqTZRNVbdseh7E+STOp7Im6uGiHl5WxLlUNc+l7n72jN0ZyuevqvLf83Yw4f1AFzp+fRYDPTkDm7jkN1L8l7mhHp+9qmL09lA0Oh0jWrgVmI9hSDNXtDodvb49T+L9HBzM9Hk3wJnWKuvn9pkyc7RM2h1O7N0sDPTk+LuYsfFdXwz/ve7tvhTPuJ2hqDVanMwNGNnanZ718q5HORotKRm5xfbgOBGdSq+1F/Jf1/j0CE08LNgxqN5z+zyCKJ+qavlU1kQ9XNTDK5Mq2xCReGo3Uf+bQPW3ZmHdoDMKA2NSrx4l5fz+/ILSNqAHngO/QKfJJXb3IsJWDaXBorP5+zCwdqH+gpOF9p2bmU7I8gHU6DcPm0Zd0eZmkx52CpmePq5dPsK1y0dA8QUtgP/sgxjauhWZ3aXLSNxeG4dGncn9mItE/zCdu8FHqDNhOzJ54U4uT/qsmXeucfnzHji9MgTVkK8AuPXHWoI/74nvtF8xcvAo8e9Vp9WSeHwHeiaWJBzbTrVeU0q8bUXmYWPI9guJTH45b6iZa0mZpGQUfvpGq9Wx42IilkZ6bL+QwJT21fKXffpbNFm5Wg59WA9zAwVRSVmExGcUebzP/7zO3uBEdrxXBxdLA27cVeNiYcDJMcUP4bOhX22aelhwNzOXg+EpfPpbDOEJmUx6ufjhcQ5+4I+blSHpWbkM2xbG0sM3+LRjdQAGbwklLUvDlnd9qGZlwImYdD7aEU56Vi7Dm7sUOm5WjpYpv0QxY18037758Gn4eV1r0Ocle3I1OpYejmX0rkh+H+bHyBYufLw7kt0D6yKXy9h8Np67mbl80Lzom/pScGjRB4cWfQq9X/2NqVR/Y2r+a7euH+X/7N59XMF9NO+DQ/OH+3DpOCz/Z5lcgWunEbh2GlGWsQuQ6RlwfkZ7XDoOx63bKAAaLixcrj2QFn4mfxiqovhN+anYZb5FlHWPCvqkDeqkG9gFdH/sekLJibKpapZNz4s4n8T5VFZEPVzUw8uKOJeq7rn0ZgNH3mzgWOj9TzrW4JOONfJff9T64TXo43bVC6zbp74jfeo/3MfwFg//rRRyGR+0dOeDls9vKFEDPRkvf3mGES3cGNWmGq1V1rQeVXxDx8o+PsUuuxCXzsu1rAvcpHxU0xqW3JzbqshlGq2OOnOPkqPRMbKVGDq1rIjyqeqWT8+DqIeLenhl8UxDM6mT4wj5aiCnR/lyepQvMTvmFbnetc3TODOuAac+8ObyvO5k3AjJX5Zy4Q/OTW3JyRFeBE0IIOHETgAyb0dy+fMenPqwFqdH+xH9Y/E3vkpLp9MRs3U2rq+Owb55H/SMzJDJFVjWaYnH23MKrS9T6GEb2JPslNsFxm8vTtadKGRyObYBryGTK1DoG2FZtxUmbsVXHJ6GwsAIc68AvEeu437MRVIu/llonZJ81ht7lmDuHYjbq2PQM7ZAz9gCt9fGYqZqxI09S0qVKTXkHzRZ93B/4xMST+xEpy1Zd8+4VDUDfwjBd/5pfOefZt4fMUWuN+3XazRYdAbvz07Rfe1lQu48LDT/CE2h5Zfn8Jp7koClQey8mABAZGImPdZeptZnp/BbcJoZ+6JL9ZlKoqevLbsvJeYPX7PzYiI9/WwLrffPtVTuqTV80t6dnRcT0WofDup54eY9evrZYWmkh1wuw9POiK51bArtY/bv0fxyJYnt/14QSsvSSI8efnbM6+rBqmM3Sb7/5MnbzAz1aO9tTURC3nwGf0fe5di1VNb08cLT1gilQk6LGhbM7uzBksM3SMsqfEE0VMrp4mNDeEJmoWUAegoZr9W1JSIh7990WDNncjQ61p+6TXx6Np//dZ0l3WuiVDyXEeWqrKZroghcEZLfCPEkdcZuxNhZ9eQVn0L9OQdpsjIczwELn8v+n4Yom/7f3n3HVVm/fxx/ncWBwwbZ4AbFvbXlt2yZLTPLhi1tbyszK7Otlisrm2ZLf5kzSy2ztOXe5gIHCrgQkCFwgHPO7w8SQ0BRoSP6fj4e38cX7nndeHef6z7XZ+jZVJ3PJt1Pup+q835SHl4x5eEnn4frXqqY7qWTv5fk5Ox8pStbX7qQJy6pd+KNT6BDXf/jFiqOx2Q0sGXIhWx/+SKerIZYqpOeTxXT80nfOSkP13dOtdUp94hwOR1seecuAlp2I/a+kopmXnLF46r5NGxLzPVPY7Ta2D19GNsmPEGroT8BsP3zgcQ9/Al+sR0pzEqjOLdk3MXkWSMJbNmN5oNm4CzMJy91S4XHzk5czpZ37qo0ztavLMAaHFVmWcG+7RRm7iWo/dVVulZnkZ20v6Zi9gnEbPM/4faeYQ3B5WLbZwMI7ngtvg3bYfYOqNK5ToU1KArveq3ISVxOUJsryqyryrVmbfqDujcOLrc8uP3V7J4x/KRiSVs8jaC23anT6XqSJg8ha8ufBDTretx9HE4Xd03aQrfYAN67seQLzo37K67Kto324elLYrBZjAxbsJsnZm7jpwdbATBw9nY+6RNHx7p+pOUWkvFPdXjkwmS6xQYyo19z8ouclVZ8l+/K5q7JFd9nAAseal3pQzgqwEqUvwfLduXQpb4fM9YfZPId8YxcmFJmu2nr0ugeH8T1LeswZF4Sf+7MomujAADaRfsyfMEuMvKK6FjXl4bB5bs9vjq/pKI8/Z7mhPqWn7DsZFzeJBCny8Wa1FwujQs87raH8ov5aUsGHWJ8AfhzRxZto30JOyaG7k2DeLjYyeqUXC5uHFBmXX6hg9l/p9M22qfCcxQWO5m+/iBto0vOYTIaGNWzETd/vpGft2bSp20orSIr3lekJujZFADo2VRdzybdTwGA7qfqup+Uh1dOefjJ5eG6lyqne+nk7iWR6qbnU+X0fNJ3TsrD9Z1TbXXKhYjcHWsoykmnbq9BGIwmgNKx7I4V0qVX6c/R1w5gxfyPcdjzMFltGExm8vcm4h3TDA//EDz8S8YPM5jM2NNTKMo6gEdAGL4NK+7+4xfbiU7vbT6p2ItyMwFKz1WZg8tmkbHmJxwFuZi8/GjyyMcYTEf/ZPaMVJY/Gl9mn07vbcbs5Uvz52axZ9777PhiIIVZaQS27EbDu94+4TmPWD/0MjAcrcI1feIL/GI7Vbq9R0AYxYezTulai3IzsPiHlltu8Q8t/ZCuCkfBYTJWz6PJw59istoIbHMFB5dMP+GHwprUXNIPFzHo0rqYjCVjFB55+ByrV6uj1zHg4mg+HraCvEIHNg8TZqOBxLR8moV5E+LjQYhPyQPLbDSQkmXnQG7J2J7tois+dqd6fmweXPnf+ERubB3CjPVpmE0Ggr3N1AvyLLP+sN3BvM0ZfNqnCTYPE1c0CWT6uoOlHwqv9ajPJ0v2MnHZPp6dvYPoAA9e69GAbrFHH9i/b8+ib/vQCj8QUrPsxA9bXmbZ8a7HYjISZLOQVUEl+YjLPliP0QA5dgeNgr24q1dJ1+WMvGJCfCzltjebDATZLGTkHa143zV5C2ajgcOFDkK8LUy5q3mZfZ6fs5OXf0wiv8iJl8XI57c1LV3XPNybW9qG8v3GdCbeVrsnN5baR8+mAEDPpup6Nul+CgB0P1XX/aQ8XHn4sU41D9e9pHvpWKd6L4lUNz2f9Hw6lr5zUh5+JuThcnpOuRBhz9yDNTiq9APheFLnvMuBv6ZQlJVW+qArzsnAZLUR9/DHpMwew65vX8OnYVvq3/Iytsg46t30IrtnjGD9K1dg8Q8j5rqnCGrX/VTDLcPiU/IfWWFWWqVj4gHU6dyTxv3HUpSTwdbx95G7cx3+TS8oXV/ZeH0AtshYGvcfC0D+3m0kfvIYSd8MJe6B8VWKsdUrC44b27EKD+3Ht1FUueVVuVaLTyBFWQfKLS/KOoDZp2SMSoPJjMtRvjuV01GMwVTycEhfNQeT1YZ/swuBkr9f4seP0qDvMEzWiseqBNiTZScqwFr6gXA87/6eypS1B0jLLeLI5hl5xdg8THzcJ44xi1J4bf4u2kb58HL3+sSF2njxinqM+GU3V3ywnjBfC09dHEP3+OqfZOya5sG8/WsyDqerzIfXEXM2p2OzmLiwYUkLh54t6/Do9ESGFTbA5mHCy2Li8a7RPN41mpyCYt77cw8PfJvA8gHtCLSV/I3H945lwKxtBHtbePjCsv/eJxqv71hFDifph4vw96z8MbDgoVbEBHpSUORk1MJk7pi0mXkPtCLQy0xSRkG57YsdLjLyigiyHf3A+OK2ppzfwJ8ih5OvV+7nli838cfjbfCylDw73ry6AX3ahuJwuliQkMldk7aw6NE2hPuVfPDFhdqou+dw6fYi/xU9m/Rsqs5nk+4n3U/VeT8pD1ceDtWTh+te0r0E1XMviVQ3PZ/0fAJ95/RvysPPjDxcTs8pFyKsgZHY0/fgcjornKzmiKytS9i7YALNBk7FK6IxjvwcVjwWj4uSccp8G7Yj/smvcBbZSZ41kh1fPEuLwbPwCAijcb/RuFwuMtfOJ+HDB+k4bmO5h0t2wjI2j+1b6fnbvLaoXDc5z/BGeARGkLFqLpFXPnDCa7X4BtHorhGsf/UqQs67EY+AsBPu829eEY0JueBm9v/29UntV1X2jD0c3rWeyH9NcntEVa7VL/5CMtb8SOi/JsyFkof8kQ9Ba1AU9vQUXC4XBkPJ09hhz6c452Dp3zdt8TSK87JZ9XR7AFwuJ077YTJWzSXk/N6Vxh/pb2VPlh2n04XxOB8MS5KymLBsL1PvbkbjOl7k2B3ED1tROkZeu2hfvuobj73Yychfk3n2+x3M6t+CMF8PRvdsjMvlYv7WTB78NoGNz3XE5lH2IbNsVzZ9v668pcOiR9ocd3w8P08zHev6MmP9QV64ovzYmtPWppFdUEz7USWTTzldLg4XOpm7OYPerct+iPh6mnn8oije+yOV5EP20g+FuBAvJt/RjD5fbMTTbKRfl4hK4zmRn7dmYjYaaBt14q5nnhYjvduEMP6vkvH9Lmzoz2fL9rI/p7BMV7kft2TgYTLSroKucBaTkT5tQ3lxbhIJB/Jpfcx5TUYDVzYNwmIysDI5p8KxCk/X/j+ncOCvqbQcdPxJk0VAzyY9m0pU17NJ95PuJ6i++0l5eNUpDz9+Hq57qep0Lx3/XjqRKav38e3qfUy/t80pH0POLXo+VZ2eT/rOCZSHnwnfOcmJnXIhwqdhW8w+gSTPeouoq0smOc1L3liuq5yz4DAGkxmLbxCuYjvJ3408uq64kPSVcwhsfRkmqzcmTxv8U+1OX/kDvo064BEYjsnmBxjAUP6B4RfXmc7jE08qdoPBQL2bh7Djy0FYfIMIansVRqsX2QlLyVj9Iw1ue63cPl7hjQlocTF7fvyA+re8fNzj5+/dRub6BQR3vA5rUCT2jFTSl8+qtKvfqXIU5nN4198kfTMU73qtCGx1WbltqnKtMdcNYMPr15Dy/RjCL+0PwN6fPyUncTktX5wDlPx7G0wW9vz4ARGX9cflKGb3jOH4NGhbeo3ZW5fQ7KnJeEUd7c6UMnsMaUumHfdDoW2UD4FeZt76NZknupZ8wGzcn1euq9zhQidmY0k3LHuxi5ELk0vXFRY7mbMpncviAvH2MGHzMGH653b5YWM6HWJ8CffzwM/ThKHiW4nO9fxIfKFz1f74lRjavT4PnB9ZpjoLJV3YliRlM/nOZjQJOToO35jfUpi2No3erUMYsyiFbrEBxIfZcLrg06V78fc00eiYcftaRHjzdd94bv1yM54WI7e1P7kkJSu/mEXbDzF0XlJJrN7lu7sdq8jhZMb6g4T4WAi0menayJ8u9f24f0oCo3s2ol6gJ0t2ZTNk7k6e6BqNXwUVb6fTxdS1aXiaDcQElv9wdblc/JJ4iKyCYhrXKT9W4bkkc/2vJP8wjsPJJYmwLaoJ0T0eJaB5V3bPGkXKnHEYzB4YjGZskbHU7/MSfv88e7O2LObvt2/G6FH2b9h6yFxskbFkJywnaerr5O1JwGA04RXRmAa3vsKhjb+TMuddAFwOBy5HEUaPkq6e1uBo2r2+kL/6RZUc91//ATXoM5Twi/uSOOFJ0pbOwmAuSRK8QusR3L4Hkd0fxORR+b/n8a4V4HDKFnZNfYPsxJIuoH6xnah30/N4R5d0Ua6suLRyYGdi+4/Bv+n5pcuSpg0jde57tH1tIbaouBP+O+jZpGcTVN+zSfeT7ieovvtJeXjllIefXB6ue6lyupdO7l46G9z46VqW7Mzityc6EBvqXbr82o/WsGp3Nsue6UxM4NGhUN78aQfv/Z7Moic6EPev7bPyi3l57nZ+TUgnr9BJmK8HfdqH89j/6gIQ+cJvZY416pckvl2zn6n9WpFyyM5Nn63Dy1L2i/d5D7UjNtSbTm8v5WBuEUYjeJiMNA3z5vaOEdzYpvLPycgXfsPLYsRgAKvZSNfGgQy/Lg5/r5LPsYIiJ28t2Ml36w+QmV9MTIAn950fRd9OkaXH+Pd5LUYjHer6Mfz6WKICPEv/dquTszEZDZgMBppF+PDmtY2xmo1cNX41sx9oS5Owkr+Ry+Wi94R1XNQo8LiTY+v5VDk9n/Sdk/JwfedUW51yIcJgNNH08c9Jmvwiq57pgMFkIqzrbeU+FAJaXoJ//AWsee58TF6+xPQcWGZ92uKp7Jz0Aric2KLjaXhHyUQ1uTvXsnPySzgKcrAGRRJ7/3vH/TLrZNXpdD0mTx9S54xjx1eDMVpteEfHE9Xj0Ur3iez+EJtG9iHq6seBkvH6lj0cW2abJo9OwCsiltwda9gz/xMceVmYbP4Etr6UejcNqXJ864ZcUubJFXnFA8T0fAYo6Xa456ePABeeIfUIan81kd0frLSVwImu1Su8Mc0HzWD3tDdJnfcBAL6xHWk+aDpe4Y0AMFqsNH38C5KmvMKeH8djMJrwje1M7IMl2x9cMgOf+q3xb3ZRmXNHXN6ftUO6Yc/cizWw4kqqyWjg89ua8uLcJDqMXoXJaOC2dmHlPhQuaRzABQ38Of+dNfhaTQzsVrbb39S1abwwZydOF8SH2Rh+bUMA1qbm8tK8neTYHUT6WXnvxtga63IV5W8lyr/8A2/GuoO0jvThooZlJ57q3yWCbu+vZW+2HYMBBszaRmpWIWYjxId588Xt8Xhby8faNtqXL25vyh1fl3wwhPt6kJplJ/aNst02J9zSpHQ8wDu+3ozRaMBiNNA0rKT74LFV8WNd8v46DAYwGQzEh9mYeGuT0tYJn97ShLd+SebmzzdyKL+YqAArAy6O5s6O4WWOceS8RoOBBkGefHJLkzIfmoN/2MGLc3eW/v1GXd+YpmHnbrfvtOXfsf3zZ2lw66sEd+iByWoja/NfZKydX/rlfEiXG4jtP7YkOZs1kq0fPEDHf1o9QElrkg5vl+/CW5yfw6Zxd9PojmHU6XgNzuJCshOWYzR7EHPN48RcU/JsO17PkbavL6y0y2301Y9Rt+fTOOz55O5az87JL3Fo0x+0eHZahc+nE11r/v6dbBh2A5FX3k/cAyUT1O35eQIbhvWi9Utz8QprUOW/q8vpJG3JdMzeARxYPI36Nz1/wn30bNKzqTqfTbqfdD9V5/2kPFx5eHXl4bqXdC9V1710tmgY7MW0tfsZfEXJ5+vO9Hwy8yoYLsbpYvq6AwR6mZm6Zj8vXNmwdN3QudsoKHLy25Md8bOa2Z6ez9b9hys83/D5O5m94QDT721NdIAnKYfsRPlbWT6wS6Uxfn1XS85vGMCh/CJ+Tcjg5TnbSTyQx3NXVJ4bL3qiIzGBnuQUFPPAN5sYszCJl3s0BuC+yRvJKihmSr/W1AvyZGlSFo99u4Vsu4OHLzqahxw5b0GRk8GzE3lpznYm3H50LPbh18fRp104xQ4Xoxcm8cS0rcx/tD2PXVyXZ2Zu5bv722I0Gpi8ch9Z+cU80vX4wwLp+aTnk75zKk95uPvzcDk9BteRPkbHcc899zDrr7+Jf+67/yImOYulr/6RhPf7M++BlpqNXk7boNnb+XrVAc7/NLlMUmTPSGXHpJdKW9GHdb2N+r0Hl/uCfcekIaSvmoujIBdbdDyN7hyOd3TJxEUZa38m6dvXsGfuw+ITSN1egwg9rxf5+7azbeIzHE7ZjNHsQZ0uN9Dw1leq5XpcLhcrn+lI5OX3ElVBt1eA3bNGYU9PJvaf8UDzUhNYM+QSOo1dj8UvmKwti0mcMKDCQkTOznVsGnM7ncf9fdw4KitE/NUvivZvLa2wEJE44UmswTHU7fl06TJ7Riqrn/8fcQ+MJ7jtFSd9rQkfP4ajIJf4xyeWWb5p7J2Yvf2Ju+/dKveIOLTxd7aMv58GfYay+7tRdHh7eblEeum90Qy5oh73nXd2v2BLzftqxT6e+2EnWwZ3xPc4Y6KKVEWvz/5mTY4v7d9e4e5QpJYrzs9h5RMtiL7uKaKvecLd4Ugtt3nsnbi2/cbmFy8oszz1UAFDftjG8l3ZANzWIZznr2xYbmimF3/Yxty/08gtdBAf7s2I6+No+k+L+Z+3pPPqvO3syy4k0Gbmucsb0KtNGNsP5vH0jK1s3ncYD7ORXq1DeeXqxtV2TTd+upbzGwTw7Zr9LH26EwaDgZG/JGE0wMhfdpXpxfD7tkzum7yRoT0aMerXXax4pnPpkC+XvLOC569syOVNKx7240iPiIlLU5m/JZ2p/VoT8c8Xi4t3HOLJ6VsqLUR0enspY29syvkNA0qXzd2YxkNTNrN60HkEV9Dy+NgeGJ8vTeXnLelMursVv2/L5O6v/mbJ050I8zv65eYPf6fx5PQtrB50Hn6e5nLn/WVrOq/M28HvT3Ys/dvd3C6cPu1KviBMOHCY7u+vZscrF+FwuujxwWpuahvGdS1D6TZuJZPvbkmrqKNfAnd6eyk5UZ1p9tT/nfDfSeR49v/+f+z44hl+e6yNWr3LaZu8aj8DZ++gCl+dSxXp7VhEzioup4NNY+8isGU34u4vaUV/OHljhdv6NGxL3Z5PY7Ta2DVtGImfPkGbl38CYNvnA2n6yCf4xXakMCuN4twMAHbPGklgq260eG4GzsJ88lK2VHjs7ITlbHrnrkrjbPvqgnJjiebv205h5l6CO1xdpWt1Ftk5sHgqZp9AzN7+J9zeK7whuFwkThhAnY7X4tuoHWbvgCqd61RYg6Lwqd+KnMTl5QoRVbnWQ5v+oF7vweWWB7e/ml0zhp9ULAcWTyO4XXfqdL6eHZOHkLX5z9IeJiIiIiJy+hxOF3d99TeXxAXx3s0lw2hu2pdb4bbton155tJ62Cwmhs3fyeNTtzD/0ZJx35+ZuZVPbmtOp3r+pOUWknG4pEfC2wuSuLRJMDPva0N+kZMtlfQyWJaUxV1fbag0zgWPdSA6wLPCddGBniUTsiZl0aVBADPXHWDy3S0Z+cuuMttNW7Ofq5rVoWerUIb8sI0/dxyia+OSSXvbxfgxbP5OMvKK6FjXj4Z1yre8fXXedhIO5DHj3jaE/mv881NxedNgnC4Xa1OyubTJ8cc8P5RfxI+b0+lQ1w+AP7Zn0jbGt0wRAqB7fB3sxU5WJ2dzcWzZSXfzCh3M3pBGu+iyrcmPKCx2Mn3tftr+09rcZDQwulcTbpqwjp+3pNOnfViZIoSIiJw7qlSIMBgMuJzOmo5FzgX/VBEdTlUT5fRV9FTK2bGGopx06t04CMM/43/6HdN994jQ83qV/hxz3QD2zP8Yhz0Pk9WGwWQmb28i3jHN8PAPwcO/pEuhwWSmID2FoqwDeASE4duo4nE4/eI60eX9yieiqkhxbiZA6bkqk7Z0Fumrf8JRkIvZ5keThz/GYDr6OLdnpLL0kfgy+3R5fzNmL19aDp5F6rz32fbFQAqz0ghs1Y3Gd719wnMesfaly8BwtCdBsye+wC+uU6XbewSEUZyXdUrXWpSbgYd/aAXHDC0tDFWFo+Aw6avn0fSRTzFZbQS1uYIDS6ZXWIjQs0mqw5EGMw7dTlINXC7A6XB3GHI2+Oc+0nudVAtX+ftoTUo2B3OLeO7yBpj+6R3QoW7FjWV6/WtOgwHd6vHRXynkFTqweZgwm4wkHsijebgPIT4ehPiUfFFvMRlIySzgQE4hYX5W2sX4VXjszvX92TLkwlO+tBvbhDF97QHMJgNB3hbqBZVtVX3Y7mDupjQ+va05Ng8TV8QHM33t/tJCxOvXNuaTv1L4bEkqA2cmEB1g5fVrGtPtX0WC37Zl0rdjRIVFiNQsO01f+7PMsuNdj8VkJMhmISu/uNJtLn13JUYD5NgdNKpj4+7OJfM/ZBwuKv37/pvZVDJO/pEiEMCdX23AbDRwuNBBiLcHU/q3LrPP4NmJDJ2zjfwiJ14WI1/c0aJ0XfMIH25pH873f6fx+b+Wl6HPOqkO/zybnHqvk2rgcFI6VJRUjyoVIiIiIrAf/B6X01H6xZ7IqXDYS1rEJGUU0LaSFhQiVXUwt/x4rYUZe7AGR1XpWZUyp2Ron6KstNIv14tyMjBZbTR9+GOSvx9D0pTX8G3Ylga3vIwtKo76N73IrhkjWPvyFXgEhBFz3VMEt+teLddj9il5eSnMSqt0HgaAkC49ie0/lqKcDLa8fx+5SesIiD/aLb6yOSIAbJGxR4d12ruNhI8fY+f/DaXJg+OrFGObVxccN7ZjFR7aj2/DqHLLq3KtFp9ACrMOVHDMA5h9SlpmGUxmXI7y94HLUYzBVNI1PX3VHExWGwHNSl7g6nTuScLHj+K4Yxgm69EWakajkaSMgipfm0hlCv958dmZnq/POjlt9mInRTnpOPJzMXlpWEs5dfn7d+JyubDv3+HuUOQsUJybWe7LhD1ZdqIDraVFiON597fdTFm1jwO5hRzZPONwETYPE5/c2owxv+7itR+30zbaj1eubkRcqDcvXtmQ4T8ncfl7qwjzs/JUt3pc1axOtV/btS1DeHtBEg6Xixtbl28UM2djGjaLiYsaleSzPVuF8ui3Wxh2XUkhxcti4vGL6/H4xfXIKSjmvd93c/83m1gxsAuB/4xb/kGfeJ6cvpVgbwuPdK1b5vgnmiPiWEUOJ+mHi0onn67IL491ICbQk4IiJyN/SaLvFxv48ZH2BNosJGXkl9u+2OEiI6+ozCSzX95RMkdEkcPJV8v3csvE9fw5oGPpWPjDroulT7twHE4XP29J584v/+a3JzsS/k9viyZh3qxLzalw7HxPi5G0fSXDn+hLPzkd//7OKS5U8wDI6dmZkU94aNUabUrVVDzTzDGuvfZaCrIOsm/hFxoXS06Zw57Hwd8n4W3z4qOl+8kuqLzFhsiJpB6ys3x3+a7eHkGR2NP3nLC1X9bWJez5eQLxj02k8/tb/vXFfckzzrdRO5o9+RWdxq7Fu25ztn3xbMnxA8KI7TeajmPWEnP902z98CEc9rzyx09YxpKHYiv9nz09tdw+XuGN8AiMIH3V3Cr9DSy+QTS6awTJs8dQeGh/lfb5N1tEY8IuvJm81K0nvW9V2DP2kJu0vsIeE1W5Vv/4C8lY/WO55emr5uD/T+HFGhSFPT2lzGeTw55PUc7B0qGvDiyeRnFeNiueas/yJ9uw/fNncNoPlzu30+jBrL/TSThQ/t9TpKoKipz8vDUTi8nIO7/vobBYLY/l1P299zAJB+24HMWkzntfebicMmdxIXvmjMPT6sGhtT9yeNfx54sSOZ68PYnkp24uN99WpL+V1EP2E7ZEXrLzEJ8uTmFi3+ZsHXJB6ZfuR/ZqF+PHV3e1ZN3g82ke4cPAWQkAhPlZGXNjE9YNPo+nu9XjoW82kVdYvhX9sqRDNH7lj0r/l3Lo+A1P/DzNdKrvx4y1+7muVflCxLQ1Je+y7UYsofWwxTwzM4HDhQ7mbjxYbltfTzOP/68eeYVOkjOPnjcu1Jv/u7sV7/+ezIQl5d8LTsbPW9IxGw20ia64h8i/eVqM3NQ2jPV7ckk/XMSFjQJYk5zD/mx7me1+3HwQD5Oxwl4nFpORW9qHszfLTsL+8nmzyWige7M6WExGVu7OrtI1RPpZsWfuJe2vb6u0vUhFivOyyVg2E28vT8Yv3lfh80GkqpIyCpi+IZPret7g7lDOKlXqEdG5c2ceeeQR3n9/CAcXfYE1Kh6DUdNLSNW4cOEsOMzhxKWYcDJm9BgGPTuQDmPW0qWuD75WIwbU6kGqxoWL9DwHy3bl4OvrB/mZZdb7NmyLxSeQ3TPfKp2I8XDyxnLDMzkKDmMwmbH4BOEqtrN71sjSdc7iQtJXziGw9WWYrN4lQzX908Pi4Mof8G3UAWtgOGabH2CAClrt+Md15rwPEk/q2gwGA/X7DGH7F4Ow+AQR1O4qTFYvsrYuJWP1jzS8/bVy+9giGhPY4mJSf/yABre8fNzj5+3dRua6BdTpdB3WoEjsGamkLZtV6fBSp8pRmM/hXX+z8/+G4lO/FYGtLiu3TVWuNea6Aax//RqSZ48h4rL+AOz5+VOyE5fTesgcoOTf22CykPrjB0Re1h+Xo5hd04fj06Bt6TVmbVlC86cnY4tqUnr+5NljOLB4GqHn9y5dZrZ64W3z5bIP1tOpnj9hPiY9m+SkHC50sCz5MHaHgedfHMIbb7xO+9Fr6RRjq7D1n0hlnC4Xe3OLWbk7m3Zt2tC9x9W8/vrrZC6fiVe91qU9vkSqwlGYT972FRTnZfH5xImMGjOWda9fhV/jDpgDIjAYqtQ2TQQXLooP7Sc7cTl16gTjzC/7JXPbaD8CbRbeWpDE4xeXtPLftC+33PBMh+0OzCYjQd4W7MUuRv6SVLqusNjJDxvTuLxJMN4eJrw9TJj+ybV/+DuNDnX9CPez4u9lxlBxGk7n+gFsG3rRaV3r0Ksa8cAFMQTZyj5vUw8VsHjnIf7vnlY0CfUuXT7m111MXbOP3m3DGPPrLrrFBREf7o3TBZ8uTsHf00yjY+aKaBHpw6S7WnLLxPV4mo3c3jHipGLMyi9mUWIGL83ZxoMXxlQ4UfWxihxOZqzbT4iPhSCbmf81DqRLA3/u+79NjLmxCfUCvViSdIgXv9/Gk5fUw8+z/Pc+TqeLqWv242k2EhNUfq4Nl8vFL1szyCooonFI1Vqkh/p6EBoayvaJT3Fgwcd4hMfqOyepMhcunPk55CYuxdNiZtSYsTz91ADajV5L5xhvfPSdk5wEFy4OHHawfFc2DerX56WXXnJ3SGeVKs8R8e6773LVVVcxY8YMknbtptihyqJUjQHwCvSkc8+nuP3224mNjeWKK65g0qRJLFm8mKz8PI62fxE5EQOBDfwY8Wg3AAYMGFB2rdFE/BOfs2PSi6x8pgMGo4mwrreVK0QEtrwE//gLWPXc+Zi8fKnbc2CZ9Qf+msr2r18AlxPv6Hga3VkyOXLujrXsmPQSjoIcrEGRNHngPUweZceNPR0hna7H5OlDyg/j2P7VYExWG7boeKKvfrTSfaK6P8TfI/sQffXjQMkcEUseii2zTfyjE/CKjCVnxxr2zP+E4rwszDZ/AltfSv2bh1Q5vjUvXlLmjS/qygeo2/MZoGSoq9SfPgJceIbUI7jD1UR1f7Bca7mqXqstojEtn5tB0tQ3SZn3AQB+sR1pOWg6XuGNADBarDR74gt2fvMKqfPGYzCa8IvrTJOHSrZPWzIDn/qtCWhW9mU04rL+rBnSDXvmXqyBJS99BqORe++7n6ioKObPn8+hzAz0bJKTYbV68WjvDtx+++3Ex8dz4403MmnSJNatXcshe/lhD0QqZyCmSR3ue6E7ffr0wdfXl27duvHtt9+SuG07RcUVT9AqUhGvACttrriX22+/nZYtW3L99dczZcoUfvzxRw6mZ+iTTqrMAARFhnPFk++RmprKh++MLLPeZDTwxR0teOH7RDq8tRST0cDtHSLKFSIuiQviwoYBnDdqOb6eZgZeWr/M+qmr9/PC7G04XS7iw70ZcX0cUDIHxZAftpFjLybS35P3b46vsUJ/VIAnURVMaD1j3QFaR/mWDst0RP/zo7hk3Ar2ZtkxGODJ6VtIzbJjNhqID/fmyztb4G0tH2vbGD++vLMFfb/4Gy+LkXA/K6lZdhq/8keZ7T67vUXpHBR9v9iA0QgWo5Gm4d4M6d6I3m3Dyh373y5+ZwUGA5gMJfF83rdF6RBIE25vzls/J3HTp+s4lF9MVEDJsFd3/jOPxBFHzms0GGgQ7MWntzUrU6h57rsEXvi+pCFWlL8no3s1oWmYN1VhMBiIbdSAjz76iFmzZrE7OQWH5rORKjIAtiAvzr/pOW6//XYaNGhAt27dmDRpEsuXLSOrIB+910nVGQhpGMCYAZdx6623EhwcfOJdpMoMLvXxFpFa6rPPPqN///6c/2lypV92i1TVqgGtGfLsAJ5//nl3hyIiIiJyRnvzzTcZM/w11j/X2d2hyFngiWlb2OvVkD/+WuzuUEREpAbpmzsREREREREREREREakxKkSIiIiIiIiIiIhbaJwOEZFzgwoRIlJreXqWjNvqsGusbDk9LqcThz2v9J4SERERkcp5enqSV1iM06lvkOX0HS504OlVffPuiYjImUmFCBGptTp0KJmA+tCGhW6ORGq77MRlFBXk0alTJ3eHIiIiInLG69ixI3n2YpbvynJ3KFLL5Rc5WLorh06du7g7FBERqWGarFpEarX/XdKNpStWE91zIH5NumC0WN0dktQiruIicravJnX2SOqFB7Nxw3qMmvhcRERE5LicTietW7bgYGoSz3SLoX2MHxaTwd1hSS3icEFSej4f/JnKur15rFq9hvj4eHeHJSIiNUiFCBGp1bKysrjr7nv44YfvcRQXuzscqYUMBgMXd+vG5K+/Jjw83N3hiIiIiNQK+/bto+/tt7Nw0SKcTqe7w5FaqmlcLOM//IhLLrnE3aGIiEgNUyFCRM4KGRkZJCQkUFhY6O5QTtqvv/7KK6+8wsiRI+nYsaO7wzkpiYmJ3HvvvTz22GP07t3b3eGcNLPZTKNGjQgLC3N3KCIiIiK10oEDB9i2bRvFtbBR0Nq1a3niiSd4/vnnufLKK90dzknZv38/ffv25aabbuL+++93dzgnzWAwEB4eTuPGjTEY1JtGRORcoEKEiIgb5efn07RpU1q3bs3s2bPdHc4puf/++5k2bRqJiYkEBwe7OxwRERERkRNyOBx06NABDw8PlixZUiuH53zppZd466232Lx5Mw0aNHB3OCIiIsdV+z5pRUTOIiNHjmTv3r2MGjXK3aGcstdffx2Hw8HQoUPdHYqIiIiISJVMnDiRtWvX8s4779TKIgTAoEGDqFOnDgMHDnR3KCIiIiekHhEiIm6SkpJCkyZNePjhh3n77bfdHc5pGTVqFM8++yzr1q2jRYsW7g5HRERERKRSWVlZxMbGcuWVV/LVV1+5O5zTMmnSJPr27cvChQu5+OKL3R2OiIhIpVSIEBFxk759+zJ//nwSExPx9/d3dzinpbCwkBYtWlCvXj3mz5+vcV5FRERE5Iw1cOBAxo8fT0JCAlFRUe4O57S4XC7OP/988vPzWbVqFSaTyd0hiYiIVKh29j8UEanlli5dyqRJk3jjjTdqfRECwMPDg1GjRrFgwQK+//57d4cjIiIiIlKhxMRE3nnnHZ577rlaX4SAkkmf33nnHdatW8eECRPcHY6IiEil1CNCROQ/5nQ6Oe+88ygsLGTlypVnTasll8tF9+7d2bFjB3///TdWq9XdIYmIiIiIlHH99dezdu1atmzZgpeXl7vDqTZ33XUX8+bNIyEhgYCAAHeHIyIiUo56RIiI/McmTZrE8uXLGTt27FlThICS1lhjxoxh586dvPvuu+4OR0RERESkjJ9//pnZs2fz9ttvn1VFCIBhw4aRl5fH66+/7u5QREREKqQeESIi/6Hc3Fzi4uK44IILmDp1qrvDqRGPPfYYX3zxBYmJiYSFhbk7HBERERERiouLadOmDUFBQfz2229n5Zxmb7zxBi+//DIbN24kLi7O3eGIiIiUoR4RIiL/oeHDh5ORkcHbb7/t7lBqzMsvv4zZbObFF190dygiIiIiIgB89NFHbNq0ibFjx56VRQiAp556iqioKJ5++ml3hyIiIlKOChEiIv+RpKQkRo4cyTPPPEP9+vXdHU6NCQ4O5tVXX2XChAmsWbPG3eGIiIiIyDkuIyODl156iX79+tGuXTt3h1NjvLy8GDlyJD/88APz5893dzgiIiJlaGgmEZH/yM0338yff/5JQkICPj4+7g6nRhUXF9O6dWvq1KnDokWLztpWZyIiIiJy5nviiSeYOHHiOTF0qMvl4uKLL+bgwYOsXbsWi8Xi7pBEREQA9YgQEflP/Pbbb0ydOpXhw4ef9UUIALPZzJgxY/j999+ZNm2au8MRERERkXPUpk2beP/993nxxRfP+iIEgMFgYOzYsWzevJkPP/zQ3eGIiIiUUo8IEZEa5nA46NChAx4eHixZsgSj8dypAV977bVs2LCBzZs34+Xl5e5wREREROQc4nK5uOqqq9i2bRsbN27EarW6O6T/zH333cf06dNJTEwkODjY3eGIiIioR4SISE2bOHEia9euZezYsedUEQJg1KhR7Nmzh9GjR7s7FBERERE5x8ydO5effvqJUaNGnVNFCIDXX38dh8PByy+/7O5QREREAPWIEBGpUVlZWcTFxXH55Zfz9ddfuzsct3jmmWf48MMP2bp1K1FRUe4OR0RERETOAYWFhbRs2ZKYmBh+/vnnc3LOspEjR/Lcc8+xbt06mjdv7u5wRETkHKdChIhIDRo4cCDjx49n69atREdHuzsct8jKyiI2Npbu3bvz5ZdfujscERERETkHjB49moEDB7J27Vpatmzp7nDcorCwkObNm9OgQQN++umnc7IYIyIiZ45za4wQEZH/UGJiIu+88w6DBg06Z4sQAP7+/rz++ut89dVXLFu2zN3hiIiIiMhZLi0tjVdffZUHHnjgnC1CAHh4eDBq1Ch+/vlnfvjhB3eHIyIi5zj1iBARqSHXX389a9euZfPmzdhsNneH41YOh4P27dvj5eXF4sWL1RpLRERERGrMgw8+yJQpU0hMTKROnTruDsetXC4XV1xxBUlJSWzcuBEPDw93hyQiIuco9YgQEakBCxYsYPbs2bz11lvnfBECwGQyMXbsWJYuXcrkyZPdHY6IiIiInKXWr1/PJ598wssvv3zOFyEADAYDY8aMYefOnYwbN87d4YiIyDlMPSJERKpZcXExbdq0ITAwkN9//12t//+ld+/eLF26lK1bt+Lt7e3ucERERETkLOJyubj00kvZu3cv69evx2KxuDukM8ajjz7KV199RWJiIqGhoe4OR0REzkHqESEiUs0++ugjNm3axNixY1WEOMbbb7/NwYMHGTFihLtDEREREZGzzMyZM1m4cCGjR49WEeIYr7zyCiaTiRdffNHdoYiIyDlKPSJERKpRRkYGsbGx9OzZkwkTJrg7nDPS888/z5gxY9iyZQv16tVzdzgiIiIichYoKCigWbNmNG3alLlz57o7nDPSuHHjePLJJ1m9ejVt2rRxdzgiInKOUSFCRKQaPfHEE0ycOJGEhATCw8PdHc4ZKScnhyZNmtC1a1e++eYbd4cjIiIiImeB4cOHM2TIEDZs2EDTpk3dHc4ZqaioiNatWxMSEsKiRYvUe1tERP5TGppJRKSabNq0iffff58XXnhBRYjj8PX1ZdiwYUyZMoU//vjD3eGIiIiISC23d+9e3njjDR599FEVIY7DYrEwZswYfv/9d6ZPn+7ucERE5ByjHhEiItXA5XJx1VVXkZiYyKZNm7Bare4O6YzmdDrp0qULDoeDFStWYDSqLi4iIiIip+aee+7h+++/JzExkcDAQHeHc8a75ppr2LhxI5s3b8bT09Pd4YiIyDlC3/yIiFSDuXPn8tNPPzFq1CgVIarAaDQyduxYVq9ezeeff+7ucERERESkllq5ciWff/45r732mooQVTRq1ChSUlIYPXq0u0MREZFziHpEiIicpsLCQlq2bEl0dDQLFizQWKsn4fbbb+eXX34hISEBPz8/d4cjIiIiIrWIy+XioosuIjs7m9WrV2M2m90dUq3x9NNP89FHH5GQkEBkZKS7wxERkXOAekSIiJym999/n23btjF27FgVIU7S8OHDyc7O5s0333R3KCIiIiJSy0yZMoW//vqLsWPHqghxkoYMGYKXlxeDBw92dygiInKOUI8IEZHTkJaWRmxsLLfddhvjx493dzi10iuvvMKbb77Jpk2baNSokbvDEREREZFaIC8vjyZNmtChQwdmzpzp7nBqpY8++ogHH3yQZcuW0alTJ3eHIyIiZzkVIkRETsODDz7IlClTSExMpE6dOu4Op1bKy8ujadOmtG/fXi+RIiIiIlIlasxy+hwOB+3atcNms7F48WL17hYRkRqloZlERE7R+vXr+eSTTxg6dKiKEKfBZrMxYsQIZs2axa+//urucERERETkDJecnMyIESN48sknVYQ4DSaTibFjx7J06VImT57s7nBEROQspx4RIiKnwOVycemll7Jnzx42bNiAxWJxd0i1miYaFBEREZGquv322/nll19ISEjAz8/P3eHUejfeeCPLli1j69ateHt7uzscERE5S6lHhIjIKZg1axYLFy5kzJgxKkJUA4PBwNixY9mwYQOffvqpu8MRERERkTPU4sWLmTx5Mm+++aaKENXk7bffJi0tjbfeesvdoYiIyFlMPSJERE5SQUEBzZo1o2nTpsydO9fd4ZxV7rnnHr7//nsSExMJDAx0dzgiIiIicgZxOp107twZp9PJihUrMBrVtrK6DB48mLFjx7J161bq1q3r7nBEROQspE9tEZGTNHbsWJKTkxk9erS7QznrvPnmm9jtdl599VV3hyIiIiIiZ5ivvvqKlStXMnbsWBUhqtnzzz9PQEAAzz77rLtDERGRs5R6RIiInIS9e/cSFxdH//79GTt2rLvDOSsNHz6cIUOGsGHDBpo2berucERERETkDJCbm0tcXBxdu3blm2++cXc4Z6XPP/+ce+65hz/++IMLL7zQ3eGIiMhZRoUIEZGT0K9fP2bPnq2hg2rQkaGv4uPjmTNnjrvDEREREZEzwAsvvMDo0aM1dFANOjL0lcvlYvny5ep1IiIi1UqfKiIiVbRy5UomTpzIa6+9piJEDfL09GTkyJHMnTuXefPmuTscEREREXGznTt3MmrUKAYOHKgiRA0yGo2MHTuWVatW8cUXX7g7HBEROcuoR4SISBW4XC4uuugisrKyWLNmDWaz2d0hndVcLhfdunVj3759rF+/HovF4u6QRERERMRNevfuzdKlS9m6dSve3t7uDuesd+utt7Jw4UISEhLw8/NzdzgiInKWUI8IEZEqmDJlCn/99Rdjx45VEeI/YDAYGDt2LAkJCYwfP97d4YiIiIiIm/z2229Mnz6dESNGqAjxHxkxYgTZ2dm8+eab7g5FRETOIuoRISJyAnl5eTRt2pT27dszc+ZMd4dzTnnwwQeZMmUKiYmJ1KlTx93hiIiIiMh/yOFw0L59e7y8vFi8eDEGg8HdIZ0zXn75ZYYNG8amTZto1KiRu8MREZGzgHpEiIicwNtvv83+/fsZOXKku0M557z22mu4XC5eeukld4ciIiIiIv+xCRMmsG7dOt555x0VIf5jzz77LKGhoQwcONDdoYiIyFlChQgRkeNITk5mxIgRPPnkk2oJ5AYhISG89NJLfPTRR2zYsMHd4YiIiIjIfyQrK4sXX3yRO+64g06dOrk7nHOOzWZjxIgRzJw5k19//dXd4YiIyFlAQzOJiBzH7bffzi+//KKJ2tyosLCQli1bEhMTw88//6zWcCIiIiLngGeeeYYPPviAhIQEoqKi3B3OOcnlcnHBBReQm5vL6tWrNVeeiIicFvWIEBE5Rrdu3fjtt99YsmQJkydP5s0331QRwo08PDwYPXo0v/zyC7Nnz2bjxo107NiRgoICd4cmIiIiItWoT58+TJ8+ncTERMaNG8fzzz+vIoQbGQwG3nnnHTZs2MCnn37Kvn37aN26Nenp6e4OTUREaiH1iBAR+Re73Y6npycTJ05k/PjxOBwOVqxYgdGouq07uVwurrrqKrZt28bYsWO59tprSUpKol69eu4OTURERESqSWBgIIMHD+bPP/9k/fr1bN68GS8vL3eHdc67++67+eGHH5g1axYXXXQRS5cupXPnzu4OS0REahl9syYi8i9ZWVkArFmzhhUrVjBixAjee+89tmzZ4ubIzl0pKSmMGjWK1157jaSkJH788Ufg6L+ViIiIiNR+LpeL7OxsUlNT+f777xk+fDhff/01K1eudHdo56xDhw4xbNgwnnnmGQoKCpg4cSKgPFxERE6NekSIiPxLYmIicXFxBAUF0bZtW/bs2cO2bduYO3cul112mbvDOyetWbOGCy+8kJCQENq2bcv8+fPJy8vj999/56KLLnJ3eCIiIiJSDXJycvDz8yMqKoqwsDDMZjMrVqxg0qRJ3Hrrre4O75yUlJREu3btsFgsXHbZZUyZMgWHw8G3337LTTfd5O7wRESkllGPCBGRfznSuufQoUMsXLgQm83G6tWrVYRwo7Zt27JhwwYaNGjArFmzKCoqAtQSS0RERORsciS3S01NZcOGDWRlZfHXX3+pCOFG9evXZ+PGjZx33nlMnjwZq9UKKA8XEZFTo0KEiMi/7NixAyiZmO2NN95g6dKltGjRws1RScOGDfnll18YP3586XwdGzdudHNUIiIiIlJd9u7dC5Tk4QMGDGDNmjWcd955bo5KIiIimDlzJpMnT8ZkMgGwatUqN0clIiK1kQoRIiL/0qpVK5o3b87SpUt57rnnMJvN7g5J/mE0GnnooYf4+++/ad26NV26dHF3SCIiIiJSTRo2bEjz5s2ZN28eI0aM0CTVZxCDwcCtt95KQkICnTp14uKLL3Z3SCIiUgtpjggREREREREREREREakx6hEhIiIiIiIiIiIiIiI1RmOOiJzBXC4Xy5Yt4++//y6doFekKgwGA8HBwVx22WUEBgYCUFRUxKJFi9i5cycOh8PNEUptYrVaadeuHa1bt8ZgMLg7HBERkRrncrlYt24dq1evxm63uzscqWUCAgLo1q0bYWFhADgcDv78808SEhIoLi52c3RSm1gsFlq0aEHnzp2Vh4tIradChMgZKikpiSsvv4yEbdsBMJvUgUmqzul04XS5sFjMvPrqa5x//vn0vKEXmRnpYDBgNJrcHaLUIk5HyQtz23Yd+OnHuYSEhLg5IhERkZqTlpZGj+5XsnL1GkB5uJwcl8uFw+nCaDTy5JNPcuedd9K9x9Xs25MKgNGkr2Gk6o7k4Y1i41gw/yfq16/v3oBERE6D5ogQOQO5XC5aNIsn72AKb11Tj851/TCb1PpBqs7lcrEvp5BPluzlo8V7sVo98WrYnro3v4QtuhkGo16opeqcRXayNv1B0pfP0LltSxb9+ou7QxIREakxl15yMRtWL2PktfW5qKE/VrPyJjk56YeLmLRqPyN+ScbHzx9jUF3q3v4mPvVbY1CDIDkJLkcx2YnL2PXls0QFerFl00b1jBCRWkuFCJEz0OrVq2nfvj2T74jnf40D3B2O1HKdxq4h9VAh7UetxsNfLdnl1KUtnsa2CU+QnJxMdHS0u8MRERGpdqmpqURHRzP2hsbc1EZ5k5yeqz/ewNrUXFq/8gu26KbuDkdqsUMbf2fz6FtZuXIl7du3d3c4IiKnRE07RM5AmzZtAqBTXV83RyJngwCrEc86MSpCyGnzje0EwObNm90ciYiISM048hmnPFyqQ5CXGaPVW0UIOW2+sR2Bo98ViIjURipEiJyBjkxMfbZ1A1+2K5tL3ltb7dvK8RkNBgxmD3eHUe2yE5axdsgl1b6tVM74z3105BklIiJytjnyGedhPruGPlEe7iYGMJot7o6i2ikP/+8ZzVZAebiI1G6aJUlE/jOd6/mx8NE21b7tyfh48R7G/7WHgiInVzcLYtg1DfGopODzx44sXpizg9SsQtpF+zC2Z2OiAqzVHpOcGr+4zrR5bWG1b3sy9sz/mD3zxuMsKiCo/dU0vGNY6Zf1x8ra9Ac7Jr1AYUYqPg3b0bjfWKzBUdUek4iIiMixlIdLdVIeLiIip+Lsam4tInIci7YdYvxfe5h6dzOWDmjHrkw7Y35LqXDbjMNF3D9lK4MurcvGQR1pFeHNI9MT/+OI5Ux26O9F7Jk3nmYDp9JuxFLsabtImT2mwm2LcjLYOv5+6t4wiI7jNuJdrxWJHz/yH0csIiIi4h7Kw6U6KQ8XEamdVIgQkWq1YU8uV3ywjrg3lnH/lK08+G0CoxYmA7B4Zxadx6wu3bbzmNV8vHgPl41fR9M3l/Pw1ATsxc4Kt60OU9ce4Pb2ocSG2AjwMvPE/6L5dm1ahdvO3ZxBfJiNq5sF42kx8vQlMWzYk8vO9PxqjUmOL3fXBta9fAXLHo5j6/j7SfjwQZK/GwVA1pbFrH62c+m2q5/tzJ75H7Nu6GUsf7QpCR89jLPIXuG21eHA4qmE/u92bJGxmL0DiL7mCdIWf1vhthmr52KLjie4w9UYLZ7EXP80ubs2kL9/Z7XGJCIiIucu5eFSnZSHi4hIddPQTCJSbQqLnfT/ZisPXRDJHR3Cmb81g4enJRIbUnm319kb05l0RzweJgM9J2xk+ro0bmsfdsJzxQ9bXum6N69uwA2tyk/MvPVAPj2aBZf+3jzMxr7sQrILivHzLPs4TDiQR7Mw79LfbR4m6gV5kpCWT4NgrxPGJ6fPWVzI1vf6E9n9IcIvvoOMtfNJ/Ohhoq6OrXSf9BWziR8wCYPZg43De5K2ZDphXW874bmWPxpf6boGfd8kpMsN5Zbnp24luF2P0t9tMc0pzNxHcV42ZptfmW3zUhPwjmlW+rvJasMzpB75exLwCmtwwvhEREREjkd5uFQn5eEiIlITVIgQkWqzOiUXF3BP5wgAejQLpk3U3uPuc1+XCMJ8S8byvLxJIBv3Ha7SuTYP7nTS8eUVOvC1mkp/9/Us+TnX7ij3AnS40EGob9kxRn2tZnLtjpM+r5ya3O2rARcRl94DQHD7Huxt0Oa4+0Rcdh8eASUv0IGtL+dw8sYqnavTe5tPOj6HPQ+Tzbf0d5NXyc+OgtxyL0AO+2E8/EPLLDPbfHEU5J70eUVERESOpTxcqpPycBERqQkamklEqs3+nEIi/Mq+NET6VTxh2BEhPpbSn70sRg4XOmskNihpTfXvF5icf372+ddL0RHex2wLkGsvrnBbqRmFh/bjERhRZplHUORx97H4H22BZ/TwwllQtRfqU2Gy2nDkH32BcRTklCz39KlgW+9yLzvF+bkVbisiIiJyspSHS3VSHi4iIjVBPSJEpNqE+lrYl11YZtme7EIa1an+LtSxbyyrdN2IaxvSq4Iu4U1Cvdi0L6+0W/imfXmE+3mUa4UFEBdqY+b6o+PW5hU6SMq0Exei7uD/FUtAKIWZ+8osK8zYg1d4o2o/17KHK+9m3vDOEYR06VVuuVdUE/KSNxHcvqRbeF7yJjwCw8u1wgKwRcWRtnRm6e8Oex72tCS8IuOqIXoRERE51ykPl+qkPFxERGqCChEiUm3aR/viAj5fvo++7cP4JTGTtam5XNTQv9rPlfjCyU941rt1CE9/t52eLesQ4mPhnd9TuLlN+RclgKvig3jj513M25zOJY0DGbMohZYR3hqX9j/k26g94GLfr58T9r++ZK7/hdyda/FvdlG1n6vz+MST3ifkvN5sn/g0dTr3xOIfQsoP7xBy/s0VbhvU7ip2TX2D9NXzCGx5CSmzx+Bdt6XGpRUREZFqoTxcqpPycBERqQkamklEqo2H2cinfZowadV+4ocvZ/q6NC6LC8TDdGY8ai6JDeSB8yO5ceJGOo1ZTd0AKwP+F310/XtrmfFP66tgbwsf3RzHsAW7aT58OWtSc3n/xspb60j1M5o9aPLIp+z/fRLLH4snbcl0AltfhtF8/GEG/iuBLS8h8soH2PjWjawe2AlrnbpEXzegdP3aIZeQtnQGABbfYOIe/ojd04ex/LHm5O5cQ+z977srdBERETnLKA+X6qQ8XEREaoLB5XK53B2EiJQ1ceJE+vXrR/LQLhiNBneHc1qu+XgDd3cOp3frils8Sc3r/uF6thFJm9cXuTuU07bh9WsI73Y3Ief3dnco56TCzH2seqY9c+bMoUePHu4OR0REpNrNmzePHj16sPLpdkT4Wd0dzmlRHu5+d3y9md/3QMdxVZu4+UymPNy9XE4nS++LYcKECfTr18/d4YiInJIzo3mEiJw1Fu/MIi23kGKHiylrDrDlQB4XNwpwd1hSS2VtWUxhVhouRzEH/pxCXuoWAlpc7O6wRERERM44ysOlOikPFxGR6qY5IkSkWiWm5fPQ1ETyihzUC/Tk4z5x1PGxuDssqaXy9yaS+NFDOOx5eIbUI+7hj7H41XF3WCIiIiJnHOXhUp2Uh4uISHVTIUJEqtVdncK5q1O4u8OQs0T4JXcRfsld7g5DRERE5IynPFyqk/JwERGpbhqaSUREREREREREREREaowKESJSqyRnFhA1dIm7w5BaquBgMkv6R7k7DBEREZEznvJuqUnKy0VEzj0amklE5BR9tnQv/7fmAFsP5PFE12ieviTG3SFJLZK3J5Gdk57n8K4NmH2DqXfTiwS3uwqAnO2r2D1jBId3/43RbCGgZTfq3/oqZi9fN0ctIiIi8t97cc5O5m1OJ7fQSR1vC49cGMlt7cOAkoJJl7FrsHkcbWf58AVRDLg42l3hSi2z95fPOPDH/5GXupXoa54g5vqn3R2SiMhZSYUIEZFTFOHvwbPd6jJlzQF3hyK1jMtRzNb37iHsf3fQ7OlvyN66hC3j7sY29Ce8whtRnJdNeLe7CWj+P1wuJ9s+eYxd375Go7vecnfoIiIiIv+5uzuF88IVdfGymNh+MJ/eEzfSKtKHFhHepdskvtDZjRFKbeYRGEHdG57lwJ9T3B2KiMhZTYUIETkp435PYeKyfeQVOYny92B87ziahtn4eWsmI37Zze7MAoJsFh66ILJ0srzFO7MYMGs7t7UL5eMle/H2MDKuVyxJGQW8/etuXMDwaxtyRZMgAHpP3Einur78tv0Q2w8WcF59P0b3bESgzVIunkP5xbw0bye/bcvCw2ygf+cIHrwgEoBVyTkM/mEHuzLteHsYuf+8yNJ11eGq+GAA5mxKr7Zjnu1S5oxj3y8Tcdrz8AiKIu6B8diim5K57md2zxhBQdpuLL5BRHZ/qHRyvKwti9n+2QBCu97G3vkfY7R6E3vvOAoOJLF71tvgctHwzuEEtbkCgI1v9cY3thOHNv5Gwb7t+DU5j0b3jMbiE1gunuLDh9j5fy+RtfE3DGYPIi7rT+SVDwIlvRJ2fDUYe9oujFZvIq+4n8juD1bL3yF/7zaKsg8SccX9GAwG/OMvxLdxR9KWTKfuDc8S2PKSMtuHdr2N3TNGVMu5RUREpHZQ3n1U4xCv0p8NhpL/351ZUKYQISdHeflRR3olp6+cU23HFBGR8lSIEJEq25aWz5cr9vPTg60I8bGwPb0AX6sJAG8PI+/3jiW2jhcrk3O47avNdKjrS/PwkpeDvdl2zEYD6wZ2YNzvKTw6PZEezYJY8mQ7Zm44yOAfdpa+EAFMWXOASXc0o26glQGztvPSvCTevTG2XExPztxGtL+VpQPaknG4mD5fbiI2xItL4wIZ+mMSD14QSa9WIWTlF5N8yF7hdc1cn8bzc3ZWet2bB3c6nT+b/CN/7zb2L/ySVkN/wuIXQsH+7Zg8S4YaMlq9ib3/fbwiYsnZvpLNo2/Dt3EHvGOaA2DP3IvBaKbDmHWk/DCOxE8eJah9D9qNWMLBpTPZ+fXg0hcegAN/TqHZgElYQ+qy/bMBJP3fS8Te9265mLZNeBJrcDRtRyylOCeDTaP64BURS2CrS0n6ZiiR3R8kpEsvivOysKclV3hdaUtnsvPr5yu97k7vba7iX8hFXurWCtfkbFuJLTKuiscRERGR2k55d3nDft7Fp8v2UVDkpFWkN5c0Diizvv2oVQD8r5E/L15Rj6AKiilSQnm5iIi4gwoRIlJlJiMUOpwkHswnyGahcZ2jLZPOb+Bf+nOnen78r5E/K3bllL4QWc1GHrogEqPRwLUtghm1KIXHL4rGw2zkuhbBPDVrOxmHiwjyLnlhuKlNKE3DbAA82y2GS8evY+wNjcvEk5ZbyB/bD7FpcCesZiNRASb6tg/jh43pXBoXiMVoICm9gMy8IgJtFvy9Kn7k3dAqhBtahVTr30oqYDThLC4kf28iFp8gvMKP/nv6Nz2/9Ge/2E74N/8fOYkrSl94jBYrkd0fwmA0EtzxWlJmjyL66scxmj0I7nQd2yc+RVFOBhbfkpfq0AtuwhbdFICYG55l3UuX0rj/2DLhFGalcWjTH3R6dxNGixVTcBRhXfuSvvIHAltdisFkoWB/EkW5mVh8AjHX86ciIV1uIKTLDSf1p/AMb4TZO5A9P31IxGX3kr1lMdlbl+L3r7/DEdmJy9n/29e0GDzrpM4hIiIitZfy7vIGX16PQZfWZXVqLn/tyMJsKukaEWSzMPf+ljQP9yYzv4jn5+zkiRnb+Kpv/Cmd55ygvFxERNxAhQgRqbIGwV68dGV9hi/YzY70Aq5sGsjL3evj52lmxe5shi3YzdYD+TicLgqKnaUvQ1DygmA0lrwseJpLJpKr41Py8uNlKWnddbjQUfpCFOVvLd03OsBKkcNFRl5RmXhSDtmxO1y0eXtl6TKH00Xnen4AvH19I97+NZkLx62hcR0bL1xel07/rJP/nldYA+rf/BK7pw+nYP8OAttcSf1bXsZs8yM7cQW7pw8jf89WXE4HzsKC0pcdAItPEAZjyX1j9PAsWeZXBwCTR8mLucN+uPSFxxoUVbqvNTgal6OIopyMMvHY01NwFdtZOaBN6TKX04FfXMn4wo3ufpvkmW+zZvCF2CIbU7f3C/jFVk/vGKPZQpNHJ7Bz8hD2zH0P7/qtCe54LQazR5ntDqdsJmH8fcTeO049IkRERM4hyrsrZjQa6BDjy8z1aXy5Yj/9u0TgbTXROsoHgBAfD97o0YB2o1aRX+jAy8NU7TGcDZSXi4iIO6gQISInpXfrEHq3DiHjcBEPTUvkg7/2MOjSujw2fRsPnh/JrXeGYjUb6f9/W3CdxnlSs+xlfraYDATZLOz51/IIPyteFiMbB3Usfdn6t8Z1vPjo5jiKHS6+WrmPh6Ylsurp9uW2m7E+jUHf76g0Fk18V31Czu9NyPm9KcrJIPGjh9jz4wfU7TWIbZ8+RuSVDxJ60a0YLVa2vNcfTuMOsmeklvnZYLJg8Q3CnrGndLk1MAKjhxcdx20sfZn6N6/wxsQ99BEuRzH7Fn1F4kcP0X7kqnLbpS2dwY4vB1UaS+fxiRUu945pRotB00t/3/DmdYSef1Pp7wUHktgyti/1+rxMYOvLjn/BIiIictZR3l05hxOSMgoqXHdkDonT+ZucC5SXi4jIf02FCBGpsm0H8zmQU0iHGF+8LEY8TAZM/2T6hwsdBNjMeJgM/LEji9+2Z9Es/NQnj5u6Lo1ereoQE2Dl7V+TubpZEKZjXnrC/Tw4r74fb/y8i6cujsHLYmTbwXzyi5y0jvJhxvo0Lm4cQJDNgrfVhKn8OxMAvVqF0OsUuogXO1wUO104nCX/X1DkxGw0lHYTl7Ly922j8NABfBt3wOjhhcHsgcFY0krNUXAYs3cABrMHWZv+IGvjb3jHNDvlc6UtnkqdLr2wBseQPPNtgjpcXXquIzwCw/Frch67pr1BzHVPYfTwIn/fNpyF+fjUb03a0hkEtLgYi08QJk9vMFTcoi6kSy9CuvQ66RgPJ2/CK7whLqeLfQs/pyjrACEX3AyAPWMPm0bdQlSPx9S9XERE5BykvPuo/EIHszem0yM+CG8PE4uTspm54SDv/DN81OqUHPw8zTQM8uRQQTFD5iZxYQN/bOoNUSnl5WW5HMW4nMW4nA5cjmKcRQUYjGYMJn1lJiJSnfRUFZEqKyx28sbPu0hMy8diMtK1kT8PXhAJwBtXN+CVn3Yx6PsdXBobwGVxgad1rpvbhDBg1ja2HSzgvPp+jO7ZqMLtxvWK5Y35u+j67hryipw0Cvbi2UtjAFiYeIih85KwFztpEOzFuF7lJ907He/8nsLoRSlHY/k9lacujubpS2Kq9TxnC2dRIbumvUH+nkSMZgv+zboSeeWDADTo+wa7przCji8HEdDq0tPuARBy/s1s+2wABXu34dfkPBr1G13hdrH3jmPX1DdY80JXnPY8vMIbEdPrWQAObVhI0v8NxVlkxyusAbH3jjutmI6VtmQ6B/74P1yOIvziutDs6W8wWkqGRjjwxzfYDyaza9ob7Jr2Ruk+asUlIiJyblDe/S8GmLH+IK/8mESx00WUv5UXLq9L9/iSoX92Z9oZviCRg4eL8LWa6NoogPcqmGxbjlJeXlbKD++QMvtoXKlzxhF93VPEXP90tZ5HRORcZ3C5XOqxKHKGmThxIv369SN5aJcKuz6f7XpP3MhNbULo0zbU3aGcFbp/uJ5tRNLm9UXuDuU/sfGt3oScfxOhF/ZxdyhnncLMfax6pj1z5syhR48e7g5HRESk2s2bN48ePXqw8ul2RPhZT7xDLae8u2bd8fVmft8DHcdtdHcobqG8vPq4nE6W3hfDhAkT6Nevn7vDERE5JeUH3xMREREREREREREREakmKkSIiIiIiIiIiIiIiEiN0RwRInLGmXZPc3eHILVY82enuTsEERERkVpBebfUJOXlIiLyb+oRISIiIiIiIiIiIiIiNUaFCBGpEaMWJvPkzG3uDqNU1NAlNH59GWMWpdT4uZ75bjuNXltK5zGra/xcZ6vk70axbcKT7g6j1JL+USx7qDEp349xaxwup4NlD8ey9P56JH83yq2xiIiIyJnjXM69j2dXRgGxbywj5uUlTFlzwK2x1Fbncl6+/fNnWPpgI1Y/27nGzyUici7Q0Ewics5Y+EhrYgI9ASgsdvLItERWp+ayL7uQpU+2LV1XFX/vPcwz320n8WA+cSFejLq+Ec3CvQEYeX0jerWqw4BZ22vkOsQ9Wr+2EM86MaW/Z236gx2TXqAwIxWfhu1o3G8s1uCoKh1r/++TSZ33PkVZB/CN7UTju0fhERgOQOq88aT99S32jD14BIQS1eMxQi/sA4DBaKLz+MQz6mVQREREpCL/zr33ZNm5/9sEdqbn43JBiwhvXu/RgLhQG1BSSBn3eyoeZkPp/gseak29oBPn5y6Xizd/3s3k1SWFhr7tQ3nusroYDAbqBXmS+EJnek/cWANXKO5SXXm5s7iQxI8eIXfnagoz99F2xNIyx21090jqdOnF9s8G1Mh1iIica9QjQkTOWV3q+/FJn7iT3q+w2Em//9vCTW1C2PRcR3q3DqH/N1spcjhrIEo5ExXlZLB1/P3UvWEQHcdtxLteKxI/fqRK+2ZtWUzyzBE0ffQzOo7biGedGBL+va/BQOwD79Ppvc3EPvABu759lezEFTV0JSIiIiI1L8DLzLu9GvP3oI5sGNSRq+KDeHR6YpltbmhVh8QXOpf+rypFCICvVx7g54RMFjzcigUPt+KnrZn832r1fjhXnE5eDuDXpAtxD39SgxGKiMgRKkSISKXe/yOVh6YmlFn25MxtjF6YDMC7v6fSZcxq4t5YxhUfrGPZruwKj7N4Z1a5YYo6j1nN4p1ZADidLsb+lkKXMatpOWIFz3y3nfxCRw1c0VEeZiP9u0TQLtr3pPddklRynf27RGD95zjFTlfpcimROvd9Ej58qMyybROeJPm70SXr57zL6kFdWPZwHOtevoLshGUVHidry+Jy3aFXP9uZrC2LAXA5naR8P5bVg7qw4omWbP/8GRz2/Bq4oqMyVs/FFh1PcIerMVo8ibn+aXJ3bSB//84T7pu5bgHBHa/DFtUEo9mD6GueJCdhKQUHkgCI6v4Q3jHNMRhN+NRriV+T88ndsapGr0dERETc72zOvW0eJhoEe2EwlPR4MBoM7Mq0V8uxp647wIPnRxLhZyXCz8oD50Xw7dq0ajn22UJ5ecWMZg8iLuuPb8N2NRqjiIiU0NBMIlKp61vW4Z3fU8grdGDzMFFQ5OTHzRnMfaAlAA2CPZl9bwuCvS1MXLaPh6YmsOTJdljNJ1fj/GTpXn7bdojv7m2Bn9XE4zO2MWpRCi9eUa/ctjPXp/H8nMqTys2DO53cRZ6CrQfyiA/zLrMsPsxGwoF8ujYKqPHz1xZ1Ol1Pyg/v4LDnYbLacBYVkLHmR1oOmQuAZ1gDWjw/G4tvMPt+mUjChw/RbsQSjBbrSZ1n78+fcGjjb7QY/B0mLz+2ffo4KbNHUe+mF8ttm7Z0Jju/fr7SY3V6b3OVzpmXmoB3TLPS301WG54h9cjfk4BXWIMTH8DlOvojrn+OuRXP0PplNnMWF5KbtJbQrrdVKS4RERGpvc6F3LvT6FXsyynE6YJB3eqWWffj5gyab11OmK8H93SK4I6OYVU6ZsKBfJqF20p/bxbuTcKBXScV19lOebmIiJwJVIgQkUpFB1iJD/Nm/tZMerasw6+JmTQI9qRhsBcA1zQPLt323vMiGL0omaSMApqE2io7ZIUmrzrAiGsbEubrAcCjF0XxwLcJFb4M3dAqhBtahZzGVZ2+w4VO/DxNZZb5Wc3k1nBLstrGWica75h4MtfOp07nnmSu/xXP0AZ4hTUEILjDNaXbRlx+L8mzR1NwIAlbVJOTOs+BPybT8I4ReASUvKxGXf0oCR88UOELT0iXGwjpcsNpXFUJh/0wHv6hZZaZbb44CnJPuG9Ay4tJ/OgRQrvehmdYg5KJ9gwGnIXlW4sl/d9QPEPrE9Di4tOOWURERM5s50Luvfyp9uQXOpi27iAR/h6ly69tHszt7cMI8bGwOiWX+6dsJcBm5tp/XXNlDhc68LUezc19PU3Ky4+hvFxERM4EKkSIyHH1bBnMdxsO0rNlHb77O53rW9QpXffN6gN8vGQPe7IKMRggx+4gI6/opM+RkmXnrslbMP4zN53LBY5/tRg/03h7GMmxl325ybE78PEwVbLHuSu4U08OLv+OOp17kr78O+p0vr503YE/vmHP/I8pzNwDGHAU5FCUm3HS57Cnp7Bl3F1gONIa0IXLWbMvnyard7mXm+L8XEyePifcN6BZV2Kuf5qE8ffhKMgl4rJ7MXn64BEYUWa7lB/eITthGc0HTS8dxkBERETObudC7u3lYaJvh1Bav72SXx9uQx0fS+mk1QAd6/rSv0sEczamV6kQ4e1hIvdfuXmu8vIKKS8XERF3UyFCRI7rmubBvPHzblKz7PyamMnQK0taSiVnFvDCnB18e3dz2kb5YDQaaDZsORW9w9g8TOQXHU1AHU4X6YePvjRF+HkwrlfjKs3XMGN9GoO+31Hp+sQXOle6rro0CbXx6dK9ZZZt3n+Y/l3Ca/zctU1wh2vYPe0N7BmpZG74lXp9hgJQcDCZHZNeoPnAb/Fp0BaD0cjyx5pR0Q1kstpw/Ku3gMvpoCgnvfR3j8AIGt87rkpju6YtncGOLwdVur7z+MRK1/2bLSqOtKUzS3932POwpyXhFVm1yc/Du91NeLe7Acjft52UH94p0+Js36+fc+DPKbQYNAOLT2CVjikiIiK137mSe7tckFfoZG+2nTo+lnLrDUBVSyNxoV5s2p9Hy8iSL5437csrU9iQEsrLRUTE3VSIEJHjCvHxoGNdX56atZ1WEd5E+peME5pX5ASDgWBvC04XfPBHarleAkc0DPYkr9DJom2HuKCBH+/+nkqhw1m6vm/7MN76JZnRPRsR6W9lX3YhWw7kcXHjgHLH6tUqhF7V1D3cXuwsza/tDhcFRU6sZgMGg4Epaw4welEKywaUT6LPq+8HwMRle7mtfRiTV+3HaDCULpejPPxD8G3cke2fPYV3vVZYgyIBcNrzMBjA4hsMLiepcz/AkZ9T4TE8wxritOdx6O9F+DW9gNQ57+IsLixdH9a1L8kz36LRPaOxBkVSmLmPvNQtFQ5nFNKlFyFdep32dQW1u4pdU98gffU8AlteQsrsMXjXbVk6Dm3yd6PI3rqE5s9OK7evs6iAgv1JeEU1oTBjDzu+HETEZf0xewcAkLZ4Kilz3qXFoOl4BKq4JSIici45W3PvZbuysZgMtIrwwV7sZNSiZHytJmJDSgoGP23JoHM9P/w9TaxNzeWzZXt54V9DRXUes5qnLo6mT9vQcsfu3TqED//aw//+mavto8V7uO+8iHLbneuUl5fPywGcRXaOlL1cxXacRQUYzFb1SBYRqQEqRIjICfVsWYenZm1n2DVHJ/tqEmqjX6dwrvpoPVazkX6dw0tflI7l52nmjasbMGDmNhwuFw9fEEWE39Ft7zsvAqfLxU2fb+Tg4WLCfC3c2SG8wpeh6tT13bWkHLID8L931wKw9Mm2xAR6sje7kI4xFbcS8zAb+ezWpjzz3XZen7+L2BAbE25tgsV0chMFnivqdO7J9olP0eCOYaXLbFFNCO/Wj/WvXoXRYiX8sn6lL0PHMtv8aHD7G2z7bAAup4Oo7g9j/dcwRhFX3IfL5WTj2zdRnH0QS0AY4RffWaPzKlh8g4l7+CN2TnqRxI8fxbdhW2Lvf790fWHmXnwbd6hwX2eRncRPHqXgQBImL19CL+xDTM+BpeuTvxtFcU46616+vHRZSJdeNLxzRI1dj4iIiJw5zsbcO7/IyeAfkkg+ZMdqNtI60puv+sbjaSnJn7/bcJCnZm2n0OEkws+Dxy6KLi2AFDmcZOYV0b6SHhx3dAhjd6adS8evBeD29mHc2q58wUKUl1dk7Qtdsaen/PPz/wBoO2IpnnViaixmEZFzlcHlOoMHYhc5R02cOJF+/fqRPLQLRqNaYlSHhq8txcNk5KELInnif9En3L7vV5sZ2r1eaSutk/Hs7O1893c6oT4W/ni87amEW626f7iebUTS5vVF7g6l1lr6QEOMFg8iuz9E9DVPnHD79a92J/6pyVh8gqo1DpfTwYrHW+ByFBHV41Gir32yWo9/IoWZ+1j1THvmzJlDjx49/tNzi4iI/BfmzZtHjx49WPl0uzJf3svJOdnc+3hWJufw2dK9jL/p5Ifa2Z1ZwJUfrqfQ4WLEtQ3p3br6Jt6uiju+3szve6DjuI3/6XnPZv9lXr79y2dJX/YdFv9Q2r75x6mEW21cTidL74thwoQJ9OvXz62xiIicKvWIEJFzwo4hXU5q+6/viD/lc711XSPeuq7RKe8vZ54uH1U+NnJFWr30Y43EYTCa6PTe5ho5toiIiEh1Odnc+3g6xPjSoZKeyidSN9CTzYM7VVss4n7/ZV7e6M63aHTnW6e8v4iIlKVxREREREREREREREREpMaoECEiIiIiIiIiIiIiIjVGhQgREREREREREREREakxKkSInAWmrDlA74maAE2qx4E/p7Dxrd7uDkNERETkjKc8XKqT8nARETmbabJqEflP9J64kSVJ2Sx6tDWxIbbS5dd9uoFVybksfbItMYGepcuH/byL9/7cw8JHWhMXenT7rPxiXvkpiV8TD5FX6CDU14Nb2oby6EVRAEQNXVLmWKMXJvPt2jS+vbsZKYfs3PzFJrwsZWuwc+9vSWyIjc5jVnMwtxCj0YCHyUDTUBu3tQ/jxtYhlV5X1NAleFmMGAxgNRvp2tCfYdc0xN+r5PFaUOTk7V93M+vvdA7lFxMTYOXeLhH07RBWeox/n9diNNA+xpfh1zYkyt9a+rdbnZKDyWjAZDDQLNzGG1c3wGo20uOjDXx3bwua/PM3crlc3PT5Ji5s6M+T/4s+pX+r2iJzw6+k/jCOw8kbMVlteEU2IarHowQ070ryd6NInTMOg9kDg9GMV2Qs9W9+Cd/GHQDI2rKYTSNvxujhVeaYLV+ciy0yluzE5eya+jr5exLAYMIW2Zj6t7zCoU2/kzrnXQBcDgcuRxFGj5J7zRocTZvXFrKkf1TJcQ2G0uPW7zOUsP/1ZduEJzm4bBYGswcAnqH1CG7fg4grH8R0TCxVvVaAvJQt7Jr2BjmJywHwje1E3d7P4x1dMun6gT+nkLZ4Ks2fnVbmuKuf7UyjfmPwb3p+6bJd04exZ+57tH5tIbbIuJP/hxEREZEzivJw5eHVTXm48nARkVOhQoSI/GcaBHsybd1BBl9WF4Cd6flk5hWX287pdDF9/UECvMxMW5fG85fXK1338o9JFBQ7WfRoG/ysJnakF7DlQF6F5xu+YDffbzzI9HuaExVgJeWQnSh/K8sGtKs0xq/6xnN+A38O5RezMDGTl3/cRWJaPs/9E3NFFj7SmphAT3IKinlwagJjfkvh5e71AbhvylayCxxMuasZ9QKtLN2Vw+PTE8kpKOahC6PKnbegyMnzc3YwdF4Sn97SpHT9sGsa0qdtKMUOF2N+S+bJmdv56cFWPHZRFM98t53v+rfAaDQwedUBDuUX88iFkZXGezY4uPw7dnzxLPVvfZWg9j0wWW1kbf6LzLXzS18K6nS+gcb9x+JyFJP83UgSPnyA9iNXlR7DGhRFu7eWlTt2cX4OW8bdTcO+wwjueA3O4kJyEpZjMHsQffXjRF/9OFD5SwVA69cW4lknpsLYo65+jJjrn8Zhz+fwrvUk/d9LHNr4B82fnYbBWL6j4omuNX//Tv4efgMRV9xP7P3vAbD35wlsHN6LlkPm4hXWoMp/V5fTycEl0zF7B5C2eBr1ej9f5X1FRETkzKU8XHl4dVEerjxcRORUaWgmkVokNctO///bQssRK2g5YgXDft5V4XZD5u6k/ciVNHlzOT0n/M2W/UdfEH7emknXd9cQ98YyOo9ZzYz1aQBsP5jPDRP+pumby2n11gqGzkuq9vh7tazDdxsO4nK5AJix/iC9WtUpt92fO7PItTt48fK6zFh/EKfTVbpu3Z5cerUKIcDLjNFooHGIF9c0Dy53jNd+SmLOpnSm/fPyc7ICvMzc0CqEYdc04MPFe8g4XHTCfXw9zVzeJIhtafkA/L79EIt3ZvFxnzga1/HCYjJyUUN/XuvRgNG/pZBdUP7lz9Ni5OpmwST+c4xjmU0Grm9Rh21pJf+mD14QSZHDxcTl+ziQU8jwX3YzumcjLKYTP97tGalsea8/K55oyYonWrJr+rAKt9s5eQgrn27P8kea8PewnuSlbCldl7nuZ9a80JVlD8ex+tnOpC2dAUD+vu38PfwGlj/alBVPtiLpm6EnjKeqXC4Xu759jejrBhB6YR/MXr4YjCYCmnelwe2vl9veYDJTp0svCjP3UZSTfsLjF+zfgcFopE7n6zEYTZg8vAho8T+8Y5pV2zUAmKxe+MV1psljn3F413oy1y8ot01VrjVl9mj8mnQh5roBmG3+mG3+xFz/FL6xHUmZPfqkYsra8ieOglzq3vQiB5fOwOV0Vsu1ioiI1HbKw5WHKw9XHq48XETk9KhHhEgt4XC6uGvSFrrFBvDejbEAbNxfcQukttE+PH1JDDaLkWELdvPEzG389GArAAbO3s4nfeLoWNePtNxCMv5pCTVyYTLdYgOZ0a85+UXOSls3Ld+VzV2Tt1S4DmDBQ60rfeGICrAS5e/Bsl05dKnvx4z1B5l8RzwjF6aU2W7aujS6xwdxfcs6DJmXxJ87s+jaKACAdtG+DF+wi4y8IjrW9aVhcPlutK/OL2k9Nf2e5oT6elQaa1Vc3iQQp8vFmtRcLo0LPO62h/KL+WlLBh1ifAH4c0cWbaN9CTsmhu5Ng3i42MnqlFwubhxQZl1+oYPZf6fTNtqnwnMUFjuZvv4gbaNLzmEyGhjVsxE3f76Rn7dm0qdtKK0iK97331xOB1veuYuAlt2Iva+k9U5ecsXjG/s0bEvM9U9jtNrYPX0Y2yY8QauhPwGw/fOBxD38CX6xHSnMSqM4NwOA5FkjCWzZjeaDZuAszCcvteJ7JjtxOVveuavSOFu/sgBrcFSZZQX7tlOYuZeg9lef8DoBnEV20v6aitknELPN/4Tbe4Y1BJeLbZ8NILjjtfg2bIfZO6BK5zoV1qAovOu1IidxOUFtriizrirXmrXpD+reOLjc8uD2V7N7xvCTiiVt8TSC2nanTqfrSZo8hKwtfxLQrOtJHUNERORsozw8AFAerjxcefixlIeLiJwcFSJEaok1qbmkHy5i0KV1MRlLxrw8kmgfq1ero2OpDrg4mo+HrSCv0IHNw4TZaCAxLZ9mYd6E+HgQ4lOSnJuNBlKy7BzILSLM14N20RUfu1M9PzYP7nTK13Fj6xBmrE/DbDIQ7G2mXpBnmfWH7Q7mbc7g0z5NsHmYuKJJINPXHSx9AXqtR30+WbKXicv28ezsHUQHePBajwZ0iz36cvL79iz6tg+t8OUnNctO/LDlZZYd73osJiNBNgtZFbSaOuKyD9ZjNECO3UGjYC/u6hUOQEZeMSE+lnLbm00GgmwWMvKOtu66a/IWzEYDhwsdhHhbmHJX8zL7PD9nJy//mER+kRMvi5HPb2tauq55uDe3tA3l+43pTLytCVWRu2MNRTnp1O01CIPRBFA6buuxQrr0Kv05+toBrJj/MQ57HiarDYPJTP7eRLxjmuHhH4KHf8m9ZzCZsaenUJR1AI+AMHwbVtwN3y+2E53e21ylmI8oys0EKD1XZQ4um0XGmp9wFORi8vKjySMfYzAd/dizZ6Sy/NH4Mvt0em8zZi9fmj83iz3z3mfHFwMpzEojsGU3Gt719gnPecT6oZeB4WhruKZPfIFfbOX3mUdAGMWHs07pWotyM7D4h5ZbbvEPLX0hrQpHwWEyVs+jycOfYrLaCGxzBQeXTNcLkIiInPOUhwcAysOVhysPL7+N8nARkZOhQoRILbEny05UgLX05ed43v09lSlrD5CWW8SRzTPyirF5mPi4TxxjFqXw2vxdtI3y4eXu9YkLtfHiFfUY8cturvhgPWG+Fp66OIbu8UHVfh3XNA/m7V+TcThdZV7UjpizOR2bxcSFDUtazPRsWYdHpycyrLABNg8TXhYTj3eN5vGu0eQUFPPen3t44NsElg9oR6Ct5GVjfO9YBszaRrC3hYcvLNuK50Rj0x6ryOEk/XAR/p6VPy4XPNSKmEBPCoqcjFqYzB2TNjPvgVYEeplJyigot32xw0VGXhFBtqMvR1/c1pTzG/hT5HDy9cr93PLlJv54vA1elpKXkzevbkCftqE4nC4WJGRy16QtLHq0DeF+JS95caE26u45XLr9idgz92ANjip9+Tme1DnvcuCvKRRlpZUm9cU5GZisNuIe/piU2WPY9e1r+DRsS/1bXsYWGUe9m15k94wRrH/lCiz+YcRc9xRB7bpXKbYTsfiUvOwWZqVVOv4rQJ3OPWncfyxFORlsHX8fuTvX4d/0gtL1lY1NC2CLjKVx/7EA5O/dRuInj5H0zVDiHhhfpRhbvbLguLEdq/DQfnwbRZVbXpVrtfgEUpR1oNzyoqwDmH1K/hs2mMy4HOWHNXA6ijGYSu7D9FVzMFlt+De7ECj5+yV+/CgN+g7DZLWV21dERORcoTxcebjy8BLKw8tvozxcRKTqVIgQqSUi/a3sybLjdLowHuclaElSFhOW7WXq3c1oXMeLHLuD+GErSseDbRfty1d947EXOxn5azLPfr+DWf1bEObrweiejXG5XMzfmsmD3yaw8bmO2DzKJsjLdmXT9+vKW84seqTNcceC9fM007GuLzPWH+SFK+qVWz9tbRrZBcW0H1UymZnT5eJwoZO5mzPo3brsC5Ovp5nHL4rivT9SST5kL30BigvxYvIdzejzxUY8zUb6dYmoNJ4T+XlrJmajgbZRJ+5m7Wkx0rtNCOP/KhnL9sKG/ny2bC/7cwrLdAv/cUsGHiYj7Sro9m0xGenTNpQX5yaRcCCf1sec12Q0cGXTICwmAyuTcyocl7cqrIGR2NP34HI6K5yY7YisrUvYu2ACzQZOxSuiMY78HFY8Fo+LkvvJt2E74p/8CmeRneRZI9nxxbO0GDwLj4AwGvcbjcvlInPtfBI+fJCO4zaWS6SzE5axeWzfSs/f5rVF5bqEe4Y3wiMwgoxVc4m88oETXqvFN4hGd41g/atXEXLejXgEhJ1wn3/zimhMyAU3s/+3r09qv6qyZ+zh8K71RHZ/sNy6qlyrX/yFZKz5kdAL+5RZnr5qTukLnzUoCnt6Ci6XC4Oh5PnhsOdTnHOw9O+btngaxXnZrHq6PQAulxOn/TAZq+YScn7varteERGR2kZ5uPJwUB4OysOPpTxcROTkqBAhUku0jfIh0MvMW78m80TXkoRl4/68ct3CDxc6MRtLuhzbi12MXJhcuq6w2MmcTelcFheIt4cJm4cJ0z/vUj9sTKdDjC/hfh74eZowGMBQwXtW53p+JL7Q+bSuZWj3+jxwfmSZlkhQ0l17SVI2k+9sRpOQo2POjvkthWlr0+jdOoQxi1LoFhtAfJgNpws+XboXf08TjY4Zo7ZFhDdf943n1i8342kxclv7k0t6s/KLWbT9EEPnJZXE6l2+a/exihxOZqw/SIiPhUCbma6N/OlS34/7pyQwumcj6gV6smRXNkPm7uSJrtH4VdC6y+l0MXVtGp5mAzGB5V8kXS4XvyQeIqugmMZ1yo/LW1U+Ddti9gkkedZbRF39BFAyNu2x3cKdBYcxmMxYfINwFdtJ/m7k0XXFhaSvnENg68swWb0xedrgn5Zd6St/wLdRBzwCwzHZ/ICKbyi/uM50Hp94UrEbDAbq3TyEHV8OwuIbRFDbqzBavchOWErG6h9pcNtr5fbxCm9MQIuL2fPjB9S/5eXjHj9/7zYy1y8guON1WIMisWekkr58VqXd2k+VozCfw7v+JumboXjXa0Vgq8vKbVOVa425bgAbXr+GlO/HEH5pfwD2/vwpOYnLafniHKDk39tgsrDnxw+IuKw/Lkcxu2cMx6dB29JrzN66hGZPTcYr6uiwAimzx5C2ZJpegERE5JymPFx5OCgPB+XhysNFRE6PChEitYTJaODz25ry4twkOoxehclo4LZ2YeVegC5pHMAFDfw5/501+FpNDOxWthvp1LVpvDBnJ04XxIfZGH5tQwDWpuby0ryd5NgdRPpZee/G2Cp3Lz5ZUf5WovzLJ/cz1h2kdaQPFzUsO5FZ/y4RdHt/LXuz7RgMMGDWNlKzCjEbIT7Mmy9uj8fbWj7WttG+fHF7U+74uuQlKNzXg9QsO7FvlO0GPOGWJqVj397x9WaMRgMWo4GmYSVd5Y9tAXasS95fh8EAJoOB+DAbE29tUtra5dNbmvDWL8nc/PlGDuUXExVgZcDF0dzZMbzMMY6c12gw0CDIk09uaVLmBXHwDzt4ce7O0r/fqOsb0zTs1LvpGowmmj7+OUmTX2TVMx0wmEyEdb2t3AtQQMtL8I+/gDXPnY/Jy5eYngPLrE9bPJWdk14AlxNbdDwN7yiZlC1351p2Tn4JR0EO1qBIYu9/D5PHqb+wHatOp+sxefqQOmccO74ajNFqwzs6nqgej1a6T2T3h9g0sg9RVz8OlIxNu+zh2DLbNHl0Al4RseTuWMOe+Z/gyMvCZPMnsPWl1LtpSJXjWzfkkjIvfJFXPEBMz2eAki72e376CHDhGVKPoPZXE9n9wUpbxJ3oWr3CG9N80Ax2T3uT1HkfAOAb25Hmg6bjFd4IAKPFStPHvyBpyivs+XE8BqMJ39jOxD5Ysv3BJTPwqd8a/2YXlTl3xOX9WTukG/bMvVgDT71Fo4iISG2mPFx5uPLwo5SHKw8XETlVBteRfqIicsaYOHEi/fr1I3lol+N2/xapiu4frmcbkbR5fZG7Q5FarjBzH6ueac+cOXPo0aOHu8MRERGpdvPmzaNHjx6sfLodEX6VD3MkUhV3fL2Z3/dAx3Eb3R2K1HIup5Ol98UwYcIE+vXr5+5wREROSeUDEoqIiIiIiIiIiIiIiJwmFSJEzmDqriTVR3eTnD6X7iMRETlHaNwAqS4ahEKqh+4jEan9VIgQOQP5+PgAkJlX7OZI5GxQ7HRRfDhLL0Fy2opzM4GjzygREZGzzZHPuEP5ysPl9BU7XTjteTiLi9wditRyysNF5GygQoTIGeiiiy7CYDDw3d8H3R2K1HI5BcXsySmiKDuNnG0r3B2O1HLpK2bjZfOmQ4cOJ95YRESkFmrfvj02L0+++zvd3aFILWcvdrIrsxCXo4jMNT+6Oxyp5Q6umI3BYOCiiy468cYiImcos7sDEJHywsPDuevOO3j166/ZdjCfLvX8sJpVN5Sqc7pcpGYV8n9rDuIyWWnaLI7E9+4h5H934B3THIPJ4u4QpRZxFOaRtfF30hZPZdCgQdhsNneHJCIiUiNsNhuPP/Ekw4cPZ39OIV0b+WOzmNwdltQiLlzszyli2rp09uUW07FTZ9ZMfIqcHavxadgWo8nD3SFKLeIsspOdsJS0PyZzx513ERER4e6QREROmcGlsTpEzkjFxcW88sorfPn5RHanpLo7HKmFLBYzV1x+Oa+8+hoNGzbk2WefZer0GWRlZrg7NKmFGjaO48H77+WZZ57BYDC4OxwREZEa43K5GDlyJJ9+/CEJ23a4OxyphYxGIxd37cqQoUPp3LkzgwcPZtL/fcPBA/vdHZrUQlHRdbnn7jsZOnQoZrPaE4tI7aVChMgZzuVykZOTQ2FhobtDkVrEYDDg5+eHxVK254PT6SQrKwuHw+GmyKQ2slqt+Pj4qAAhIiLnFJfLRW5uLna73d2hSC3j6+uL1Wots8zlcpGdnU1RkeaLkKrz8PDA19dXebiInBVUiBARERERERERERERkRqjQedFRERERERERERERKTGqBAhIiIiIiIiIiIiIiI1RoUIERERERERERERERGpMSpEiIiIiIiIiIiIiIhIjVEhQkREREREREREREREaowKESIiIiIiIiIiIiIiUmNUiBARERERERERERERkRqjQoSIiIiIiIiIiIiIiNQYFSJERERERERERERERKTGqBAhIiIiIiIiIiIiIiI1RoUIERERERERERERERGpMSpEiIiIiIiIiIiIiIhIjVEhQkREREREREREREREaowKESIiIiIiIiIiIiIiUmNUiBARERERERERERERkRqjQoSIiIiIiIiIiIiIiNQYFSJERERERERERERERKTGqBAhIiIiIiIiIiIiIiI1RoUIERERERERERERERGpMSpEiIiIiIiIiIiIiIhIjVEhQkREREREREREREREaowKESIiIiIiIiIiIiIiUmNUiBARERERERERERERkRqjQoSIiIiIiIiIiIiIiNQYFSJERERERERERERERKTGqBAhIiIiIiIiIiIiIiI1RoUIERERERERERERERGpMSpEiIiIiIiIiIiIiIhIjVEhQkREREREREREREREaowKESIiIiIiIiIiIiIiUmNUiBARERERERERERERkRqjQoSIiIiIiIiIiIiIiNQYFSJERERERERERERERKTGqBAhIiIiIiIiIiIiIiI1RoUIERERERERERERERGpMSpEiIiIiIiIiIiIiIhIjVEhQkREREREREREREREaowKESIiIiIiIiIiIiIiUmNUiBARERERERERERERkRrz/4XOrvEqBRlnAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 2000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.tree import plot_tree\n",
+    "\n",
+    "# Plot the decision tree\n",
+    "plt.figure(figsize=(20,10))  # Set the figure size\n",
+    "plot_tree(clf, filled=True, rounded=True, class_names=CLASS_NAMES)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Matrice de confusion"
    ]
   }
  ],