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+{"conf":{"past_k":95,"future_k":23,"window_size":119,"offset":23},"stats":{"minimal_repair_candidate_ns":19278012803,"correct_repair_tries":1,"correct_repair_ns":19284435514}} +{"conf":{"past_k":94,"future_k":24,"window_size":119,"offset":24},"stats":{"minimal_repair_candidate_ns":18084707028,"correct_repair_tries":1,"correct_repair_ns":18091293984}} +{"conf":{"past_k":93,"future_k":25,"window_size":119,"offset":25},"stats":{"minimal_repair_candidate_ns":53841311043,"correct_repair_tries":1,"correct_repair_ns":53848272398}} +{"conf":{"past_k":92,"future_k":26,"window_size":119,"offset":26},"stats":{"minimal_repair_candidate_ns":24474567618,"correct_repair_tries":1,"correct_repair_ns":24481788111}} +{"conf":{"past_k":91,"future_k":27,"window_size":119,"offset":27},"stats":{"minimal_repair_candidate_ns":8056068217,"correct_repair_tries":1,"correct_repair_ns":8062346947}} +{"conf":{"past_k":90,"future_k":28,"window_size":119,"offset":28},"stats":{"minimal_repair_candidate_ns":21374871915,"correct_repair_tries":1,"correct_repair_ns":21384216264}} +{"conf":{"past_k":89,"future_k":29,"window_size":119,"offset":29},"stats":{"minimal_repair_candidate_ns":12768077057,"correct_repair_tries":1,"correct_repair_ns":12774618938}} +{"conf":{"past_k":88,"future_k":30,"window_size":119,"offset":30},"stats":{"minimal_repair_candidate_ns":19830323887,"correct_repair_tries":1,"correct_repair_ns":19837711405}} diff --git a/results/windowing-study-2024-04-26/sdram_w2.log.png b/results/windowing-study-2024-04-26/sdram_w2.log.png new file mode 100644 index 0000000..dac3ab6 Binary files /dev/null and b/results/windowing-study-2024-04-26/sdram_w2.log.png differ diff --git a/results/windowing-study-2024-04-26/sdram_w2.log.success.png b/results/windowing-study-2024-04-26/sdram_w2.log.success.png new file mode 100644 index 0000000..e81b281 Binary files /dev/null and b/results/windowing-study-2024-04-26/sdram_w2.log.success.png differ diff --git a/results/windowing-study-2024-04-26/sdram_w2.sh b/results/windowing-study-2024-04-26/sdram_w2.sh new file mode 100755 index 0000000..9345761 --- /dev/null +++ b/results/windowing-study-2024-04-26/sdram_w2.sh @@ -0,0 +1,8 @@ +#!/usr/bin/env bash + +# sdram w2 +../synth/target/release/synth \ + --design ../working-dir/sdram_controller_wadden_buggy2_oracle-full/1_replace_literals/sdram_controller_wadden_buggy2.no_tri_state.instrumented.btor \ + --testbench ../benchmarks/cirfix/sdram_controller/orig_tb.csv \ + --solver bitwuzla --init any --windowing --max-repair-window-size 512 > sdram_w2.log + diff --git a/results/windowing-study-2024-04-26/study.ipynb b/results/windowing-study-2024-04-26/study.ipynb new file mode 100644 index 0000000..26d14a4 --- /dev/null +++ b/results/windowing-study-2024-04-26/study.ipynb @@ -0,0 +1,438 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 18, + "id": "da945b15-12cc-4539-9856-6bfde6604746", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import json\n", + "import os\n", + "from collections import defaultdict \n", + "from matplotlib import pyplot as plt " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "bb113fca-a27f-41b1-97bb-d7a1469b5363", + "metadata": {}, + "outputs": [], + "source": [ + "def ns_to_s(e, name):\n", + " if e[name] is not None:\n", + " e[name] = e[name] / 1000.0 / 1000.0 / 1000.0\n", + "\n", + "def load_data(filename):\n", + " name = os.path.basename(filename).split('.')[0]\n", + " with open(filename) as f:\n", + " entries = []\n", + " for line in f.readlines():\n", + " if line.startswith(\"{\"):\n", + " d = json.loads(line)\n", + " e = {'bench': name, **d['conf'], **d['stats']}\n", + " ns_to_s(e, 'correct_repair_ns')\n", + " ns_to_s(e, 'minimal_repair_candidate_ns')\n", + " \n", + " entries.append(e)\n", + " return entries\n", + "logs = [\"sdram_w1.log\", \"sdram_w2.log\", \"c1.log\", \"i2c_k1.log\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "54643c3c-11e0-45f3-b47e-de09221b07f9", + "metadata": {}, + "outputs": [], + "source": [ + "data = []\n", + "for log in logs:\n", + " data += load_data(log)\n", + "table = pd.DataFrame(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "19ae6781-63a2-4b9b-8d01-909a9ab3a929", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>bench</th>\n", + " <th>past_k</th>\n", + " <th>future_k</th>\n", + " <th>window_size</th>\n", + " <th>offset</th>\n", + " <th>minimal_repair_candidate_ns</th>\n", + " <th>correct_repair_tries</th>\n", + " <th>correct_repair_ns</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>sdram_w1</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>1</td>\n", + " <td>0</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>sdram_w1</td>\n", + " <td>1</td>\n", + " <td>0</td>\n", + " <td>2</td>\n", + " <td>0</td>\n", + " <td>0.042085</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>sdram_w1</td>\n", + " <td>0</td>\n", + " <td>1</td>\n", + " <td>2</td>\n", + " <td>1</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>sdram_w1</td>\n", + " <td>1</td>\n", + " <td>1</td>\n", + " <td>3</td>\n", + " <td>1</td>\n", + " <td>0.047726</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>sdram_w1</td>\n", + " <td>0</td>\n", + " <td>2</td>\n", + " <td>3</td>\n", + " <td>2</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " <td>NaN</td>\n", + " </tr>\n", + " <tr>\n", + " <th>...</th>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>14470</th>\n", + " <td>i2c_k1</td>\n", + " <td>89</td>\n", + " <td>0</td>\n", + " <td>90</td>\n", + " <td>0</td>\n", + " <td>42.831376</td>\n", + " <td>2.0</td>\n", + " <td>50.828527</td>\n", + " </tr>\n", + " <tr>\n", + " <th>14471</th>\n", + " <td>i2c_k1</td>\n", + " <td>88</td>\n", + " <td>1</td>\n", + " <td>90</td>\n", + " <td>1</td>\n", + " <td>36.314133</td>\n", + " <td>2.0</td>\n", + " <td>43.827264</td>\n", + " </tr>\n", + " <tr>\n", + " <th>14472</th>\n", + " <td>i2c_k1</td>\n", + " <td>87</td>\n", + " <td>2</td>\n", + " <td>90</td>\n", + " <td>2</td>\n", + " <td>20.427675</td>\n", + " <td>3.0</td>\n", + " <td>24.940239</td>\n", + " </tr>\n", + " <tr>\n", + " <th>14473</th>\n", + " <td>i2c_k1</td>\n", + " <td>86</td>\n", + " <td>3</td>\n", + " <td>90</td>\n", + " <td>3</td>\n", + " <td>30.253631</td>\n", + " <td>2.0</td>\n", + " <td>33.752012</td>\n", + " </tr>\n", + " <tr>\n", + " <th>14474</th>\n", + " <td>i2c_k1</td>\n", + " <td>85</td>\n", + " <td>4</td>\n", + " <td>90</td>\n", + " <td>4</td>\n", + " <td>33.635736</td>\n", + " <td>4.0</td>\n", + " <td>39.766443</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "<p>14475 rows × 8 columns</p>\n", + "</div>" + ], + "text/plain": [ + " bench past_k future_k window_size offset \\\n", + "0 sdram_w1 0 0 1 0 \n", + "1 sdram_w1 1 0 2 0 \n", + "2 sdram_w1 0 1 2 1 \n", + "3 sdram_w1 1 1 3 1 \n", + "4 sdram_w1 0 2 3 2 \n", + "... ... ... ... ... ... \n", + "14470 i2c_k1 89 0 90 0 \n", + "14471 i2c_k1 88 1 90 1 \n", + "14472 i2c_k1 87 2 90 2 \n", + "14473 i2c_k1 86 3 90 3 \n", + "14474 i2c_k1 85 4 90 4 \n", + "\n", + " minimal_repair_candidate_ns correct_repair_tries correct_repair_ns \n", + "0 NaN NaN NaN \n", + "1 0.042085 NaN NaN \n", + "2 NaN NaN NaN \n", + "3 0.047726 NaN NaN \n", + "4 NaN NaN NaN \n", + "... ... ... ... \n", + "14470 42.831376 2.0 50.828527 \n", + "14471 36.314133 2.0 43.827264 \n", + "14472 20.427675 3.0 24.940239 \n", + "14473 30.253631 2.0 33.752012 \n", + "14474 33.635736 4.0 39.766443 \n", + "\n", + "[14475 rows x 8 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "table" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "6322f522-ff8e-450c-98e8-b611e9c92a71", + "metadata": {}, + "outputs": [], + "source": [ + "def load_time(filename):\n", + " name = os.path.basename(filename).split('.')[0]\n", + " with open(filename) as f:\n", + " time_by_window_size = defaultdict(list)\n", + " window_size_count = defaultdict(int)\n", + " for line in f.readlines():\n", + " if line.startswith(\"{\"):\n", + " d = json.loads(line)\n", + " e = {'bench': name, **d['conf'], **d['stats']}\n", + " window_size_count[e['window_size']] += 1\n", + " if e['correct_repair_ns'] is None:\n", + " continue\n", + " ns_to_s(e, 'correct_repair_ns')\n", + " ns_to_s(e, 'minimal_repair_candidate_ns')\n", + " time_by_window_size[e['window_size']].append(e['correct_repair_ns'])\n", + " return time_by_window_size, window_size_count" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "b5d9321c-ddd9-4c3e-bcf7-02f54bb95fa2", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_window_size_vs_time(filename):\n", + " time_by_window_size, window_size_count = load_time(filename)\n", + " max_window_size = max(time_by_window_size.keys()) - 1 # make sure we do not look at incomplete data\n", + " x = sorted(list(time_by_window_size.keys()))[:-1]\n", + " y = [sum(time_by_window_size[w]) for w in x]\n", + " print(f\"min window size: {x[0]}, {len(time_by_window_size[x[0]])} / {window_size_count[x[0]]}\")\n", + " plt.plot(x, y)\n", + " plt.title(filename)\n", + " plt.xlabel(\"window size\")\n", + " plt.ylabel(\"average time (s)\")\n", + " plt.savefig(filename + \".png\")\n", + " plt.show()\n", + " success_y = [float(len(time_by_window_size[w])) /window_size_count[w] for w in x]\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "d341bbac-27ad-4ae8-9d61-96a615474527", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min window size: 5, 1 / 5\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_window_size_vs_time('i2c_k1.log')" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "ae9fa4f1-ee59-4f8d-a839-9e8f80581488", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min window size: 4, 1 / 4\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_window_size_vs_time('sdram_w2.log')" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "cb02ba1c-0ce9-43e3-bb45-442b190cce74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min window size: 4, 1 / 4\n" + ] + }, + { + "data": { + "image/png": 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xYwd0Op0cDAHAlVdeCZ1OJ1/jjF6vR2VlpcODiIioq6k2uBcQSTVEjgGRdXSHwQSzi9ojX+GzAVFhYSEAICEhweH5hIQE+bXCwkJoNBpERUU1e018fHyTz4+Pj5evcWbx4sVyzZFOp0NKSkqb7oeIiMgfeZwhsiuqDrP7ca3Rt7fNfDYgkkhH9ySiKDZ5rrHG1zi7vqXPWbBgASoqKuRHXl6ehysnIiLyf+4GRLVyDZEtQ6RVKaAQnH+Or/HZgCgxMREAmmRxioqK5KxRYmIiDAYDysrKmr3m0qVLTT6/uLi4SfbJnlarRUREhMODiIioq5GKquPCtQBczzOrlWuIbFkhQRDs5pkxIGqV9PR0JCYmYuPGjfJzBoMB2dnZGDNmDABg+PDhUKvVDtcUFBTg8OHD8jWjR49GRUUFdu3aJV/zyy+/oKKiQr6GiIiInJMyO8mRwQCa2TJzUkME2LbNan18wGunnjKrrq7G6dOn5a9zcnJw4MABREdHIzU1FfPnz8eiRYuQkZGBjIwMLFq0CCEhIZg9ezYAQKfTYd68eXjyyScRExOD6OhoPPXUU8jKypJPnfXv3x/XXnst7rvvPrz77rsAgPvvvx/Tp0/nCTMiIqIWSAFRt8ggHMxz49i91jG0kAIkX88QdWpAtGfPHkycOFH++oknngAAzJkzB8uXL8czzzyDuro6PPjggygrK8OoUaOwYcMGhIeHy+956623oFKpMGvWLNTV1WHSpElYvnw5lEpbhPrpp5/i0UcflU+jzZgxw2XvIyIiIrKRAplkXQsZIifH7gH/ac7YqQHRhAkTIIquj+EJgoCFCxdi4cKFLq8JCgrCsmXLsGzZMpfXREdHY+XKlW1ZKhERUZfTYDJD32AGACRZt8wqWyyqdgwtbPPMfDsg8tkaIiIiIupcNXZ1P8m6IADN1RA1Hd0B2Iqsa3y8hogBERERETklNWXUKBWIlU6ZuaohMko1RI23zPyjWzUDIiIiInJKCmJCtUrogtUAWs4QhXDLjIiIiAJJtRwQqeSAqLK+wWn9r1RD1LioOtRPiqoZEBEREZFTUhATZhcQmcyi0yP0toCoUYZIIzVmZA0RERER+SHbNpgSQWolNCpL2OBs20zqVN24hkj6upZbZkREROSPpKyOtO0VEeS8jsjQYIbRZNlGc1lDxC0zIiIi8kf2W2YAoAu2/LeyzjG4sc/+uKoh8vVO1QyIiIiIyKkag62oGoDLk2ZS/ZBGqYBa6RhahMlbZqwhIiIiIj/UNENkPWnWJCCy1ho1qh8CbFtozBARERGRX6rROzZbdJUhkq/TNJ0I5i+zzBgQERERkVP2fYgAIMJVQGRwPrbD/r21PHZPRERE/sjVllnjgKhOHuzqJCCyPldjcN7Q0VcwICIiIiKn5AyRplENUX3jDJHzpoyALUNkFm3zznwRAyIiIiJyqsbNLbNauwaOjQWrlRAE6fMYEBEREZGfkQKYlrbM5LEd2qYZIoVCQIja9yfeMyAiIiIip6r1juM4XAdE0tZa0wyR5f2+f/SeARERERE5JZ0eC2s0uqNxH6Lmaojs3+/LzRkZEBEREZFTjWuIdCG2DJH9ibHmaogAW8NGbpkRERGRX9E3mOSBrY1HdxhNIuqNZvlaWw2Riy0zP+hWzYCIiIiImrA/ESbVBoVqlFAqLEfG7OuIag2uO1UD9ltmDIiIiIjIj0jbW0FqBVTWga2CIDgtrJZqjVxvmUkZItYQERERkR+pbtSlWuIsIJLGcrguqmYNEREREfmhxgXVkoggy9cOAZHR9bR7wLaVVsMtMyIiIvInjcd2SJx1q65tZto9YNsyY4aIiIiI/ErjLtUSeZ6ZBzVEti0z1hARERGRH6lp1KVa4rSGSG7M2HynamaIiIiIyK9IW2aN55M1DohEUbQdu3cyywxgDRERERE1Y+HaI7j7w1/QYDK3fHEHk7I5YS5qiKQtM32DGSazpYFjSxkiXz527zyUIyIionZlaDDj4x3nYBaBE5eqMDBZ19lLclBtcH7KrHGGyH4+matj99K2Wy23zIiIiMheflktrIkVFFXpO3cxTtTKRdXN1xBJ3ae1KoXcxboxecuMARERERHZyy2tlX9cVFnfiStxzlUfIvmUWb1jhshV/ZD9a5xlRkRERA7OldbIP75U6XsZouoWAiIpQyQFTsFq5/VDgP0sMxNEUfT6Wr2BAREREVEnsM8QXfLFDJHBvdEddXKGyHVAJHWwbjCL0Df4XgE5wICIiIioU+TaZYh8sYZIOhHWdHSHJSCqN5qhbzChxtD8HDPAsYO1r9YRMSAiIiLqBP5TQ+SY+QkPUkGw1k5X1BnlourmMkRKhSBvqdmfSvMlDIiIiIg6WIPJjLwy+y0z38sQ1biYdq9QCAi3PldZZ5THcQSrm+/kIwVMvlpYzYCIiIiogxVU1MNoshUXF1fr5eaGvsJVUTUA6EKkOqIGtzJE9p/DLTMiIiICYNsuS48NhUIATGYRpTW+kyUSRdFlhghwHPBa60YNEWA/voNbZkRERATbkfuesaGIDdMCAIp8aNus3miWm0Y6zRDZnTSTTqOFuhjbIQmVJ94zQ0RERESwnTDrEROKhIggAL519N6+zifESX8h6aRZRZ1R7mjtao6ZxNebMzIgIiIi6mDnrFtmabEhSIiwZIh8qbBaPmGmUULhZByHfYZI3jJrplM1YAuIfHWeGQMiIiKiDmafIYr34QyRq3EcjgGRm1tm1tdZQ0REROSj/m/Laby+/niHfC+zWZSLqtNiQhAfbq0hqvKdgKi5gmoAiLArqpYCnOCWiqp9fMus+dUTEREFuIo6I5asPwEAuPvKHkiODG7X71dUpYe+wQyVQkC3yGC7GiIf2jIzuJ8hqnMzQxTGLTMiIiLfdaygUv6x/cDV9iJ9j25RwVApFXINkS9liGxjO5wHORH2p8z07tUQScfypc/2NT4dEDU0NODFF19Eeno6goOD0bNnT7zyyiswm22D4URRxMKFC5GcnIzg4GBMmDABR44ccfgcvV6PRx55BLGxsQgNDcWMGTOQn5/f0bdDREQ+6OhFW0B03m6cRnuxrx8CgPhwH8wQtbBl1poaojAeu2+9119/Hf/4xz/w9ttv49ixY1iyZAn+8pe/YNmyZfI1S5YswZtvvom3334bu3fvRmJiIqZMmYKqqir5mvnz52PNmjVYvXo1tm7diurqakyfPh0mk29GqURE1HHsM0TnL7d/QHTOrn4IgLxlVlKtR4PJNybB17hZVO1YQ+Rmp2oDAyKP7dixAzfddBNuuOEGpKWl4bbbbsPUqVOxZ88eAJbs0NKlS/HCCy9g5syZyMzMxIoVK1BbW4tVq1YBACoqKvDhhx/ir3/9KyZPnoyhQ4di5cqVOHToEDZt2tSZt0dERD7gWKEtIMrtgICocYYoJlQDpUKAKAIl1YZ2//7u8OSUWZ01IAptoaha2jILyAyRXt++6b2xY8fihx9+wMmTJwEABw8exNatW3H99dcDAHJyclBYWIipU6fK79FqtRg/fjy2b98OANi7dy+MRqPDNcnJycjMzJSvcUav16OystLhQUREgcVoMuNkYbX8dcdsmTlmiBQKQT5p5itH7+37EDkjBUQ1BpOc8QlpYZZZmDzLzDd3ZzwKiL7//nvMnTsXvXr1glqtRkhICMLDwzF+/Hi89tpruHjxolcX9+yzz+LOO+9Ev379oFarMXToUMyfPx933nknAKCwsBAAkJCQ4PC+hIQE+bXCwkJoNBpERUW5vMaZxYsXQ6fTyY+UlBRv3hoREfmAs8U1MNhtU+W2c1G1KNqO3EsZIgA+14vIVlTt4th9kO15URrx0eKxe6kPkR9niL7++mv07dsXc+bMgUKhwNNPP42vvvoK33//PT788EOMHz8emzZtQs+ePfGHP/wBxcXFXlnc559/jpUrV2LVqlXYt28fVqxYgTfeeAMrVqxwuE4QHLtoiqLY5LnGWrpmwYIFqKiokB95eXmtvxEiIvJJUv1QZrcIAEBlfQMqao3t9v1Kawyo1jdAEICUaNvx/gQpQ1TlG4XVLRVVq5SKJtmjYCcjPuz5+rR7t/oQLVq0CG+88QZuuOEGKBRNY6hZs2YBAC5cuIC//e1v+Pjjj/Hkk0+2eXFPP/00nnvuOdxxxx0AgKysLOTm5mLx4sWYM2cOEhMTAViyQElJSfL7ioqK5KxRYmIiDAYDysrKHLJERUVFGDNmjMvvrdVqodVq23wPRETku45aA6JhqVG4VKlHcZUeuZdrMCgksl2+n5SBStYFQ6uyBRBSYXVRKzNEH23LweYTxchMjsDwHlEYmhqF6FBNq9dZ20IfIsCybSYXVKudj/iwF+rjW2ZuBUS7du1y68O6deuGJUuWtGlB9mpra5sEYEqlUj52n56ejsTERGzcuBFDhw4FABgMBmRnZ+P1118HAAwfPhxqtRobN26UA7eCggIcPnzYq2slIiL/I2WIBiRF4MjFSktAVFqLQd0j2+X7nSuRtstCHJ63zTPzPCAyNJix+LvjMDSY8dNJ2w5Nz9hQDE2NwqT+8bg+K6mZT2iqpaJqwNKL6GJFvfW65rNDABBm3VIzmMwwNJihUfnWua42d6o2mUw4dOgQevTo0aROp61uvPFGvPbaa0hNTcXAgQOxf/9+vPnmm7j33nsBWLbK5s+fj0WLFiEjIwMZGRlYtGgRQkJCMHv2bACATqfDvHnz8OSTTyImJgbR0dF46qmnkJWVhcmTJ3t1vURE5D9EUZR7EPVPikCP6BDszS1r09H7eqMJ+gazXHTcWOMTZpL4NnSrPl5YCUODGeFBKlyXmYi9uWU4U1yDsyWWx5f78vHdY1ejf1KE258pZXHCmgl07O+xpSP3gGPRda2hARpV6zNY7cHjgGj+/PnIysrCvHnzYDKZ5BNdISEh+PbbbzFhwgSvLW7ZsmX44x//iAcffBBFRUVITk7GAw88gP/93/+Vr3nmmWdQV1eHBx98EGVlZRg1ahQ2bNiA8PBw+Zq33noLKpUKs2bNQl1dHSZNmoTly5dDqWz5F5CIiAJTcZUepTUGKASgb2I4Uq1Zm7acNLv1ne24VKnHhsfHOd2yko71pzXKELXllNmBvHIAlm2/JbcNBgCU1xqw/3w53thwAkcuVmL7mVIPAyLplFnzW2aSlgqqAUCtVECjUsDQYEa1vgGRIb4VEHmcr/riiy8weLDlJ/ybb75BTk4Ojh8/jvnz5+OFF17w6uLCw8OxdOlS5Obmoq6uDmfOnMGrr74Kjcb2kygIAhYuXIiCggLU19cjOzsbmZmZDp8TFBSEZcuWobS0FLW1tfjmm294aoyIqIuT6od6xoUhSK2Ut7FyL7fupFmtoQFHLlaipFqP/xy44PSac05OmAG2GqLiVhRV7z9fDgAYkhIpPxcZosHEfvG4YZBlq2x3zmWPPtOdLTP7gCjEjQwRYDfPzAcn3nscEJWUlMjFzOvWrcPtt9+OPn36YN68eTh06JDXF0hERNQejhVYJhpImZPU6LZliOy3u77c53w8lG3LrHENkSUgKq0xwNDgWbdqKUM0JDWyyWuj0qMBALvOXYYonY93Q0unzADbPDOg+cDJnhQ4+eLEe48DooSEBBw9ehQmkwnr16+X63Bqa2u5BUVERH5DyhD1T7KUWKRGW7I2BZX10Dd4nsGw3+46fKESJwqrHF4vrzWg3Hqkv3FAFBWihlppOaVVXO1+lqi81oCcEkuQNcRJIXhWt0hoVQpcrjHgTHF1k9edMZtF+fSYuxmilo7cS6Stwe8Pu+4D2Fk8Doh+97vfYdasWcjMzIQgCJgyZQoA4JdffkG/fv28vkAiIqL2YH/CDABiwzQI0SghikB+WZ3Hn9e4/uerRlkiqSFjfLhWHmMhEQTBbsir+3VEUnYoLSYEUU5qljQqBYZaM0e7csrc+sxaoy0YbC5DpGtFhujBCb0BAO//fBaH8ivcek9H8TggWrhwIT744APcf//92LZtm9yrR6lU4rnnnvP6AomIiLyt3mjCWWvGRAqIBEFo07ZZkXXLLCrEEiis2X/BYVirraA6tOmbYTt670kvInm7zK5+qLEr0mMAALtySt36TGm7TCEAQWrXYUJraogmD0jAjYOTYRaBZ778FUYfGWYLtPLY/W233dbkuTlz5rR5MURERB3hRGEVzKJlsGpcuK0Jb2p0CI4XVrVqhIeU2blpSDf858AFFFXpsfV0CSb0jQcA5JY4rx+SJLTi6L07AZFUR7T7nHsZIvuC6uYmOrQmQwQAL904AD+fKsaxgkq899NZPDSxt9vvbU9uZYhWr17t9gfm5eVh27ZtrV4QERFRe5O3y5IjHP7Sl4KV85dbsWVmPSHWPSoYMwYnAwC+2mc7bSadMEuLdZUh8mzLTBRFHLQGRENTXfcBHJoaCZVCwIXyOuSXtZz5cqegGgAigm2vu1tDBACxYVr87/QBAIC//XDK7dqm9uZWQPTOO++gX79+eP3113Hs2LEmr1dUVGDdunWYPXs2hg8fjsuXPTveR0RE/u3whQqf+YvNHccKbA0Z7aVat7POt+LovRTIJEQE4dbh3QEA3x8pRGW9pZDa1QkzSbzcrdq9DFFuaS3Kao3QqBTN9hgK0aiQ2U0HANjlxvF7d47cA40zRJ4dqrplaDeM6xMHQ4MZC748BLPZ/RNw7cWtgCg7OxtvvPEGfvzxR2RmZiIiIgIZGRnIyspC9+7dERMTg3nz5iEtLQ2HDx/GjTfe2N7rJiIiH1FZb8TMd7bjN+/u9Ohod2dqfMJM0sNaQ5TbqhoiW0CU1U2H3vFh0DeYse7XAgB2PYiiXWSIrEXVRVXuZYik7bKByREtjsGwbZu1HBDVtDDpXhLhUEPkWQWOIAhYdEsmQjRK7Dp3GZ/uOu/R+9uD23cwffp0TJ8+HaWlpdi6dSvOnTuHuro6xMbGYujQoRg6dKjTwa9ERBTYCivqYWgwo6Rajyp9AyKCnI+t8BWiKOK4tQfRgCSdw2tyUfXlWpjNYosDS+0/U8rsJERoIQgCbh3WHa+vP46v9l3A9MHJKLEep09tsYbIs4Coufohyci0aLz701n84kaGyLZl1nzWpzVF1fa6R4Xg6Wl98fI3R/H6d8cxuX88knTBHn+Ot3hcVB0TE4ObbrqpPdZCRER+qKzGIP+4pErv8wFRflkdqvQN0CgV6BnnmK3pFhUMpUKAvsGM4mq9HKS0pLK+AXXW4+rSe24Z2g1/+f44dp27jK2nSgAA0aEal3POPN0y23/eUiTtbkAkCMDZ4hoUV+kdCskbq3ZjbAcAaFVKBKkVqDeaPc4QSe4ZnYZvDl7EvvPleHHNYXwwZ0SzhdztiSkdIiJqkzJrs0HA0mnZ1x2xDnTNSAiDWun416BaqUBypCWg8WTbTNou0wWrEWQtME7UBeGq3rEAgKWbTgJwXT8E2LbMKuqMqDc23xiy3miSt/2GprQ8WF0XokbfBMv24J4Wts3cLaoGbFkiT2uIJEqFgNdvHQSNUoEfjhfhG+v2YmdgQERERG1SXuuYIfJ1jRsyNibV+Hhy9N5+u8zercMsxdXHrV2rXfUgAiyntrTWWqCWZpodLaiE0SQiOlSDlGj3tpmusNYRtbRtVuNmUTVg+TlUKQT0jAtzaw3OZCSE46GJvXFFWjQGJrs/gNbbWpfjIiIisrLPEJX4QYbI1QkzSYpdHZG77E+Y2Zs2MBFhWpW8DdVchkgQBCREBOH85VpcqqyX1+HMAbuBru5uMV2RHo2Pd+S2eNKs2s2iagB49+4RKK8zyF22W+uhib3wyDW93a7Zag/MEBERUZv4W4boaAsBka0XkQcBkfVkWOPAIFijxPVZiU0+25UEN+uIPCmollyRZskQHSuslFsBOONuUTVgGQ3S1mAIAFRKRacGQ0AbAiKDwYATJ06gocH3JtYSEVHHKbMLiEprfDsgqqw3ynPKXG+ZeX70vsjFlhkAzLRumwFAj2a2zAAg3s2TZgfkhoyRbq8xPiIIaTEhEEVgbzNdq6sNlr/XW1so7a88Dohqa2sxb948hISEYODAgTh/3tI74NFHH8Wf//xnry+QiIh8m0NRdbVvb5lJx+27RQZDF+L8tFdqazJELrbMAEtmZniPKCTpgtAvMbzJ6/akwupLzfQiKq3Wy2sb5GTCfXOkOqJdzRRWe1JUHUg8DogWLFiAgwcPYsuWLQgKsv3CT548GZ9//rlXF0dERL7PYcus2rczREcvWiasN27IaE/qRXS5xoCqZraW7NkCoqYZIoVCwOr7r8TWZ69pMetiG/Dq+ufxYH45AKBXXKjLI/yu2Aa9thwQeTKfLBB4HBB9/fXXePvttzF27FiHQq4BAwbgzJkzXl0cERH5vnI/yhAdkxsyuj7NFB6kRnSoBoD7WSKp5ifeRd8itVIBpRs1Mu40Z7QVVLd83L4xqY7o1/xyl0f7bZ2qW3eU3l95HBAVFxcjPj6+yfM1NTWd1kyJiIg6j/2WWbGPZ4iOFTZfUC2RO1a7UUdkNovyuI1ENxs5umJrzug6INovFVR7UD8kSYkORmJEEIwmEfutgVVjNQZumbll5MiR+O9//yt/LQVB77//PkaPHu29lRERkc8TRdFhy6yqvgH6huabCnYWk1nECWs/oJYCIuk0WK4bGaKyWgOMJssMt+Y6QLtDyhC52jIzm0VbQbUHJ8wkgiDY6ohcbJt11S0zj+928eLFuPbaa3H06FE0NDTgb3/7G44cOYIdO3YgOzu7PdZIREQ+qlrfgAbrpHKFAJhFy7ZZcmTnzaRypaiqHvoGM1QKodkeP4AtQ+TOSTNpuyw2TNOk87WnpICoSt+AGn1Dk6DkbEkNquoboFUp0LeFAm1XRqZHY+3Bi9h1rhRARpPXq1lU7Z4xY8Zg27ZtqK2tRa9evbBhwwYkJCRgx44dGD58eHuskYiIfJRUP6RVKeTsiK/WEUnH7ZMig1qs55ECojw3MkSuehC1RphWJQ9KLXLS00nKDmV107U6+JIm3+/LLYfRZHZ4rcFkRr3R8hwzRG7IysrCihUrvL0WIiLyM1IPoqgQDWLCNLhUqUeJj/YiumANiLq5kb2S+gXlXm55fEdRMyfMWiMhIgg5JTUoqqxHeqxj36IDee4PdHWld1wYokLUKKs1Yve5yxjTK1Z+rcZg2+7sakXVrQ7/ioqKUFRUBLPZMbocNGhQmxdFRET+QSqojgxRIybMEhD4arfqC+VSQNT8dhlgqyG6WF4Po8ncbDbGNses7RkiAIgP1yKnpAaXGv08iqKIPdaGikNTPT9hJlEoBFybmYjPduXhq30XHAMi63aZWilAq2JA1Ky9e/dizpw5OHbsGERRdHhNEASYTL5ZTEdERN5Xbpchig2zHFX31Yn30pZZt6iWM0RxYVpoVQroG8y4UFaHtFjXHaalE2Gujtx7ylZY7XjSbNmPp3G8sApqpYCR6a0PiADgtuHd8dmuPKw7VICXZwyUt8e6akE10Ioaot/97nfo06cPtm/fjrNnzyInJ0d+nD17tj3WSEREPqrMGvxEhaoR6ycZou5ubJkpFILt6H0LdUSuJt23VoKTo/frDxfizY0nAQB/uimzzfVKw1KjkB4bilqDCd8dLpSflwqqQ7vY2A6gFRminJwcfPXVV+jdu3d7rIeIiPyIbctMg5hQ384QXSizBDbuZIgAy7bZqaLqFo/eSz2IErxQVA3YN2e0BFrHCirxxL8OAADmjknDHVektvl7CIKA24Z3x1++P4Ev9ubhtuGWeWtSU8audsIMaEWGaNKkSTh48GB7rIWIiPyMtGUWGWyXIfLB5oyiKNrVELkXEKVGW7bJzpc2X1gtZXISdV6qIbLrVl1arcfvV+xBrcGEsb1j8eIN/b3yPQDglqHdIAjAzrOX5QaUcoaoixVUA63IEH3wwQeYM2cODh8+jMzMTKjVjnNUZsyY4bXFERGRbyuvs2SIpFNmAFDig8fuL9cY5OPkSZHuBS6p0ZbAqbktswaTGcVV0tgOL22ZWdsXXCivw4Of7sOF8jr0iAnB27OHQtXGPkf2kiODMbZ3LH4+VYIv9+Xj8Sl9unQNkcd3vH37dmzduhXfffddk9dYVE1E1LXYnzKTMkSlPpghkrJD8eFat09PyUfvm2nOWFpjgFkElAoBMaHeO3YPWIrA88vqEKZV4YN7RiAyROOVz7d32/DuckD02KSMLju2A2jFltmjjz6Ku+++GwUFBTCbzQ4PBkNERF2L4ykza0BUY4DZLDb3tg4n9SDq7mb9EACkxtiKqhufqpZI22VxYVq3hre6wz7TJAjA3+4YgoyE1nWlbsnUAYkI16qQX1aHX3Iu222ZMSBqUWlpKR5//HEkJCS0x3qIiMiPyI0ZQ20T4k1mERV1xube1uHk+qGolnsQSbpHBUMhALUGk1zg3Ji3T5gBQIhGJQeXz0zrh0n92+/v22CNEtMHJwEAvtibL2+ZMUPkhpkzZ2Lz5s3tsRYiIvIz5TW2U2YalQK6YEtdqa8VVud70KVaolUp0ceamdl/vszpNd7uQSR5e/ZQvHH7YPxhfE+vfq4z0gmz7w4XyENlWVTthj59+mDBggXYunUrsrKymhRVP/roo15bHBER+S6jyYwqa0YhylrfEhOmQUWdESXVBmT40EaCLUPk2dDZEWlROF5YhT25ZbguK6nJ694e2yG5smeMVz+vOcNSo9AzNhRnS2rknkRdccusVafMwsLCkJ2d3WS6vSAIDIiIiLoIabCrIEDODMWGaXG2uMZnM0TuNGW0N7xHFFbuPI89ua4yRNYtMy/1IOoMgiDgVmtPoq466R5oZWNGIiIiqaA6IkgtFxTL4zt8LCDytCmjZEQPy2T4IxcqUGcwIVjjuJUkTbpP8FIPos4yc1g3vLHhBKTa8ZAu2Knaew0NiIioS5GO3EeF2Eon7E+a+YqqeiMq6y2ZD09qiABLYXV8uBYNZhEH88ubvO7twa6dJUln6UkkCWMNkXNPPPEE/vSnPyE0NBRPPPFEs9e++eabXlkYERH5NumEmX1/HKkXjy9tmUn1Q5Ehao9rYwRBwIi0KKw7VIi9uWVNansutVMNUWeQehIBrCFyaf/+/TAajfKPiYiIbD2IbBkiX+xWfaEVJ8zsDe8RLQdE9vQNJly2ZsL8uYZIMm1gIsKDVKiqb/Bak0l/4lZAZH/MnkfuiYgIsBVV22eIfHGemaczzBob3iMKALA3twxmswiFtV5KGtmhUSoQGaJ2+X5/EaRW4t27h+NkYRX6J7VPI0hf5nEN0b333ouqqqomz9fU1ODee+/1yqKIiMj32Y/tkNiKqn0wQ+RhQbVkYHIEgtQKVNQZcaa4Wn5eqh+Kj9BCELzTpbqzjekVi7lXpQfM/XjC44BoxYoVqKura/J8XV0dPv74Y68sioiIfJ/92A6JL84zy29jhkitVGBw90gAcDh+b+tB5P/bZeRBQFRZWYmKigqIooiqqipUVlbKj7KyMqxbtw7x8fHtuVYiIvIhZc3UENUYTKgz+MZ8y9bMMWtsRJpt20wSSAXV5EEfosjISAiCAEEQ0KdPnyavC4KAl19+2auLIyIi31XmpIYoTKuCVqWAvsGMkmo9UqLdnx3mKVEU8dS/fwUAvHH7IJfbPFINUXcP5pg1ZulHdMYxILLWEMUHQEE1eRAQbd68GaIo4pprrsGXX36J6Oho+TWNRoMePXogOTm5XRZJRES+x9mWmSAIiA3T4kJ5XbsHRCcuVeHLffkAgP+Z0BO945sWAtcbTXLxc2u3zABgaGokACCnxNKFOzZMK2eIEv28KSNZuB0QjR8/HoClU3VqamqXLLgiIiIbZ0XVgGXb7EJ5XbsXVm87XSr/eFdOmdOAqKDCErSEaJRtOgkWGaJBRnwYThVVY29uGaYNTJQHoXLLLDB4XFTdo0ePDg2GLly4gLvuugsxMTEICQnBkCFDsHfvXvl1URSxcOFCJCcnIzg4GBMmTMCRI0ccPkOv1+ORRx5BbGwsQkNDMWPGDOTn53fYPRARBRpRFG0ZolCNw2sddfR+++kS+ce7z112ek2+NLIjMrjNf3dJdUT7rNtmcg0Rt8wCgk+P7igrK8NVV10FtVqN7777DkePHsVf//pXREZGytcsWbIEb775Jt5++23s3r0biYmJmDJlikNrgPnz52PNmjVYvXo1tm7diurqakyfPh0mk28U/BER+ZsagwlGk2XwVVTjDJE1QGrP8R0NJjN+ybEFQbtynAdEbT1yb2+4da6ZdNKs0BoQxfOUWUDw6d7cr7/+OlJSUvDRRx/Jz6Wlpck/FkURS5cuxQsvvICZM2cCsLQFSEhIwKpVq/DAAw+goqICH374IT755BNMnjwZALBy5UqkpKRg06ZNmDZtWofeExFRICizBjsalQLBase5V7Hh7Z8h+vVCBar1DQgPUqHWYMKF8jpcKK9rUifU1qaM9qQGjYfyK1Bea0CVdT4at8wCg09niNauXYsRI0bg9ttvR3x8PIYOHYr3339ffj0nJweFhYWYOnWq/JxWq8X48eOxfft2AMDevXthNBodrklOTkZmZqZ8jTN6vd6htUBlZWU73CERkX8qtxvs2ngrSsoQtef4Dmm77KpesRiYHAEA2O0kS+TNDFFaTAhiQjUwmMzYdKwIgKU2KawLzv0KRK0KiBoaGrBp0ya8++678tbUxYsXUV1d3cI7PXP27Fm88847yMjIwPfff48//OEPePTRR+UGkIWFhQCAhIQEh/clJCTIrxUWFkKj0SAqKsrlNc4sXrwYOp1OfqSkpHjz1oiI/Fp5XdMTZpK48PZvzigVVI/pHYORaZatrF1O6oja2pTRniAIcpZo3aECAJamjDxkFBg8Dohyc3ORlZWFm266CQ899BCKi4sBWGp5nnrqKa8uzmw2Y9iwYVi0aBGGDh2KBx54APfddx/eeecdh+sa/2YURbHF36AtXbNgwQJUVFTIj7y8vNbfCBFRgJFOmOmCm57cau+J9/VGE/aet9TxjOkViyvSLQFRcxmitjRltCcVVv98yvJ3X3w4t8sChccB0WOPPYYRI0agrKwMwcG232C33HILfvjhB68uLikpCQMGDHB4rn///jh//jwAIDExEQCaZHqKiorkrFFiYiIMBgPKyspcXuOMVqtFRESEw4OIiCyc9SCSxLTzPLO9uWUwNJiREKFFr7hQOUN0qqharm0CLIXXUuFzt0jv9EOSCqulgnL2IAocHgdEW7duxYsvvgiNxvF/gh49euDChQteWxgAXHXVVThx4oTDcydPnkSPHj0AAOnp6UhMTMTGjRvl1w0GA7KzszFmzBgAwPDhw6FWqx2uKSgowOHDh+VriIjIM2U11hqi0KYZIunY/eVaAxpMZq9/72129UOCICA6VIPe8WEAHI/fX6rSw2QWoVYKXsvkZHaLgEZl+6uTc8wCh8cBkdlsdnpcPT8/H+HhTZtitcXjjz+OnTt3YtGiRTh9+jRWrVqF9957Dw899BAAy1bZ/PnzsWjRIqxZswaHDx/G3LlzERISgtmzZwMAdDod5s2bhyeffBI//PAD9u/fj7vuugtZWVnyqTMiIvKMNMcs0kmGyFJoDYiibWvNm7adkeqHYuXnpCyRfUAkbZcl6YKhUHinzkerUmJQN538NbfMAofHAdGUKVOwdOlS+WtBEFBdXY2XXnoJ119/vTfXhpEjR2LNmjX47LPPkJmZiT/96U9YunQpfvvb38rXPPPMM5g/fz4efPBBjBgxAhcuXMCGDRscgrO33noLN998M2bNmoWrrroKISEh+Oabb6BUKp19WyIiakG5k8GuEpVSgegQqReRd+uIKuqMOJRfDgC4qneM/PwV6Zbanl3nbOURF8ptTRm9aXia7ZAOM0SBw+Ozgm+99RYmTpyIAQMGoL6+HrNnz8apU6cQGxuLzz77zOsLnD59OqZPn+7ydUEQsHDhQixcuNDlNUFBQVi2bBmWLVvm9fUREXVFzga72osJ06C0xoCSKgOQ6L3v+8vZUphFoGdsKJJ0tkBHyhAduVCBWkMDQjQqrxdUS0b0iMa7OAuAAVEg8TggSk5OxoEDB/DZZ59h3759MJvNmDdvHn772986FFkTEVHgaq6oGpBOmlV7PUO03bpdNrpXjMPz3aNCkKwLwsWKeuw/X46resfamjJ6OSCSjt4DbMoYSFrVTSo4OBj33nsv7r33Xm+vh4iIWsloMuP3K/agf1IEnruuX7t+rzK7xozOSN2qpUnz3rL9jLWg2q5+SDIyPRr/OXARu3Iu46rescgv814PInvRoRo8OKEXiqr0SI32zuk16nweB0Rr1651+rwgCAgKCkLv3r2Rnp7e5oUREZFnjl6sRPbJYmw9XYL5kzMQpG6/OsnmiqqB9plnVlRVj5OXqiEIwOieMU1eH5lmCYikwmpvdqlu7Jlr2zfgpI7ncUB08803QxAEiKLo8Lz0nCAIGDt2LL7++usm3aGJiKj9XLRuEZnMIo5crJB75nhbg8ksz/FylSGSulWXeDFDtMO6XTYgKQJRoU0DMalB477zlj5F0pZZdy/1IKLA5vEps40bN2LkyJHYuHGj3MV548aNuOKKK/Dtt9/ip59+Qmlpqde7VhMRUfOkAAAADuRVtNv3qaizHaV31qkaaJ8Mkdx/yMl2GQD0jgtDZIga9UYzsk8WQ99ghiCweSK5x+MM0WOPPYb33nvPoanhpEmTEBQUhPvvvx9HjhzB0qVLWV9ERNTBCirq5R8fzCtvt+8j1Q9FBKmgUjr/d7XUnNGb88ykguoxvZpulwGAQiFgRI9obDp2CV/vtzQKTggPcmikSOSKx79Lzpw543SMRUREBM6etRxDzMjIQElJSdtXR0REbrtolyE6aO3V0x7KW6gfAmzjO7w18f58aS3yy+qgUgjyEXtnpH5EG49dAtA+9UMUmDwOiIYPH46nn35aHuoKAMXFxXjmmWcwcuRIAMCpU6fQvXt3762SiIhadNEuQ5RbWusw18ubWjphBtgyRCXV+iY1p62xzXq6bGhqJEK1rjc3pGDJ0GAZGeLtE2YUuDwOiD788EPk5OSge/fu6N27NzIyMtC9e3ecO3cOH3zwAQCguroaf/zjH72+WCIick3KEKmVljEV7ZUlaumEGWDLEOkbzKjWN7T5e0r1Q2N6Oa8fkmR20yHY7nQdM0TkLo9riPr27Ytjx47h+++/x8mTJyGKIvr164cpU6ZAobDEVzfffLO310lERM3QN5jknj9jesUi+2QxDuZVYELfeK9/r+bGdkhCNCqEaJSoNZhQWm1AeJDra1siiqJ8wsxVQbVErVRgWI9IbDttuZ4ZInJXqxozCoKAa6+9Ftdee62310NERK1wqcISDGlVCkzsG2cJiNotQ9T82A5JbJgW5y/XoqRaj7TY0FZ/vzPF1SitMSBIrcCQlMgWrx+ZFm0LiJghIje1KiCqqalBdnY2zp8/D4PBcY/60Ucf9crCiIjIfdKR++TIYAxJtRQWH8wrl/vDeVNLYzskMWEaa0DUtlqmXTmWga1DU6LcOjF2hV3RdXdmiMhNHgdE+/fvx/XXX4/a2lrU1NQgOjoaJSUlCAkJQXx8PAMiIqJOUFAhBURB6J8UDrVSQGmNAflldUjx8niJshprUXVo89tg8tH7Ns4z22PtPD0yzb1mv0NToxBp3c7rHsWmjOQej4uqH3/8cdx44424fPkygoODsXPnTuTm5mL48OF444032mONRETUAqmgOlkXDK1KiQFJlvYo7bFt5k5RNQDESkfvq9qYIZIConT3Om8Ha5RY8+BV+Op/xiBY037jSyiweBwQHThwAE8++SSUSiWUSiX0ej1SUlKwZMkSPP/88+2xRiIiasGFcsuR+yTrFtFga61NezRoLHfj2D0gTbxvW4aooKIO+WV1UAiWzI+70mND0TMurNXfl7oejwMitVot70cnJCTg/PnzAACdTif/mIiIOpa0ZdYt0jKmYnD3SADAwWZGeIiiiM93n8fmE0Uefa/yOvdqiOQMURu6Ve8+Z6kfGpisQ1gz/YeI2srj311Dhw7Fnj170KdPH0ycOBH/+7//i5KSEnzyySfIyspqjzUSEVELpC2zJJ1jhujQhQo0mMxOR2zsOFuKZ788hFCNEgdfmupyDIc9URTtTpm1kCGSmzO2fstMqh8a4Wb9EFFreZwhWrRoEZKSkgAAf/rTnxATE4P/+Z//QVFREd577z2vL5CIiFpWYN0yS7ZumfWMDUW4VoU6owknL1U7fc+K7ecAADUGE86W1Lj1feqMJrkLdMsZIlu36tbalWMJiK5oZlwHkTd4FBCJooi4uDhceeWVAIC4uDisW7cOlZWV2LdvHwYPHtwuiyQiCgQl1Xrc/o/t+Mv3x91+T7W+QQ5AXKmsN6LK2g062bplplAIGJSiA+C8sPpCeR02Hr0kf33kouutNXtSdkitFBDSQsGytGVWXKlv8R6cqagz4sSlKgDACAZE1M48DogyMjKQn5/fXushIgpYL/3nCHafK8N7P51FraHlcRaXKusx9vUfMW/F7mavk7bLIkPUCNHYKiFsdUTlTd7z6c5cmO1GjB25UNnyDQDyfLTIEE2L/Y2SI4MRplWhSt+Ae/75CyqswZS79uWWQRQtBdJx4VqP3kvkKY8CIoVCgYyMDJSWlrbXeoiIAtL6w4X476ECAIDRJOKXs5dbfM/Go5dQXmvE1tMlqDeaXF4nb5fpHJsQSnVEBxoFRPVGE1bvzgMATOpnGe1x5KJ7AZG7J8wAIFSrwjt3DUOYVoWdZy9j5jvbcL601q3vAwC7pfqhHqwfovbncQ3RkiVL8PTTT+Pw4cPtsR4iooBTUWvEH/9j+TMzPMiSwfnpVHGL79tywnKNKAKnXNQBAfZdqoMcnpfGXJy8VOWQkfr21wJcrjEgWReExyZnALBsmbkzld7dHkSSqzPi8MX/jEayLghnimtwy/9tw/7zZW69d7eH/YeI2sLjgOiuu+7Crl27MHjwYAQHByM6OtrhQUREjv7036MortKjV1wo/nRTJgDg51Mlzb5H32DC9jO2a44Xus7g2LpUO2aIEiKCkBgRBLMIHLZuiYmiKBdT3zW6B/olRkCtFFBZ34D8sroW78Wdwa6N9UuMwJqHrsLA5AiU1hhwx3s78Z01W+ZKvdEktwwYyfoh6gAeH7tfunRpOyyDiCgwZZ8sxhd78yEIwJLbBqN3XBgUAnC6qBoXy+uaBDGSvefKUGuwbZOdKKxy+T0uNjphZm9wig6FR+pxMK8cV6RHY39eOQ5dqIBGpcAdI1OhUSmQER+OowWVOHKxssUxH2Xylpl7GSJJQkQQ/vXAaDzy2X78eLwID67ahz/eMAD3jk13ev2hCxUwmMyIDdMgLYbjN6j9eRwQzZkzpz3WQUQUcKr1DXj+q0MAgLlj0jDcWgszOCUS+8+XY+upEswameL0vVtOWrbLQjVK1BhM8mkrZy7IPYiCmrw2OCUS3x+5hAPWk2ZSdmjG4GREh1qCmoHJEThaUImjBZW4NjOx2XvydMvMXqhWhffuHo5Xvj2Kj3fk4k//PYoxvWPQLzGiybXydllatNeH0xI54/GWGQCcOXMGL774Iu68804UFVk6nK5fvx5Hjhzx6uKIiPzZkvXHcaG8Dt2jgvHU1L7y81dnxAEAspupI8q21g/dcUUqAOB4MxkiW5fqphmiIXYnzYqq6rHOulU1Z3SafM2AZEtActSNo/eeFFU7o1Iq8PKMgbg+KxGiCCxZf8LpdbtzpIaM3C6jjuFxQJSdnY2srCz88ssv+Oqrr1BdbSn0+/XXX/HSSy95fYFERP5oV85lfLwjFwDw55mDEGo3dmJcRiwAYNvpEpjMTQuZL5bX4cSlKigEyFtKxVV6XK5p2vHZbBZRWOE4x8xeZncdBAHIL6vD//vxNIwmEcNSI5HVXSdfMzDZ8mN3TprZaog8zxBJBEHA09P6QaUQ8OPxIuw863hy2WwWsSfXUnjNhozUUTwOiJ577jm8+uqr2LhxIzQa2/8QEydOxI4dO7y6OCIiX2Ayi/jrhhP46WTLJ8MAS0H0s1/+CgD4zYgUjLUGQJLBKZEI16pQXmvE4QtNszLS9xmSEolukcFIibYEOs7qiEqq9TCaRCgEIMFJr56IIDV6WYecfrzTEqDNGZPmcE3/pHAAQEFFvdOgy567Yztakh4bijut2a/F3x13OOF24lIVquobEKpRymsjam8eB0SHDh3CLbfc0uT5uLg49iciooC07XQJlv14Gn/69qhb1x/Mq0BOSQ0iQ9R4/ob+TV5XKxUY0zsGAPCzk20z6bj9+D6WHkF9EyxbWiecnDST6ocSI4JcziKTGjSKomWcxnWZSQ6vhwep5cLlljpWyxmi0NZniCSPTOqNEI0SB/PKsf5wofy8NL9sWI8ot+arEXmDx7/TIiMjUVDQ9Ljk/v370a1bN68siojIl0hH3gsr6926vrjKMrsrIz4MumDnmRSpjuinRsfvjSYztp22PDehr+WafomWLImzwmrphJmz7TLJkBTb9tjsUZaTZY25u21W1sYaInvx4UH4/dU9AQB/+f4EjCbLeI9d1gn3I3pwu4w6jscB0ezZs/Hss8+isLAQgiDAbDZj27ZteOqpp3DPPfe0xxqJiDqVVNBcVd/QbMdoiTTMNCbU9biJcdaAaF9uGar1tqaJ+3LLUKVvQHSoBlndLEFKX2tA5Kyw2lUPIntDUiyn21QKAb8dler0GqmwurmAyGQWUVlvCYh0wW3PEAHAfVenIyZUg7MlNfjXnjyIoigXVI9MZ4dq6jgeB0SvvfYaUlNT0a1bN1RXV2PAgAEYN24cxowZgxdffLE91khE1KlO2mVmWqqxAWwBUWy466AhNSYEPWJC0GAWsfOMrdxAOm4/LiMWCoXluLmUITpZWAVzoyJsuUu1kyP3ksxuEXjuun7466zBSIhwft1AOSByvWVWXmuAVOrT1hoiSXiQGo9c0xsAsHTTKZwqqkZhZT1UCgFDUxgQUcfxOCBSq9X49NNPcfLkSfzrX//CypUrcfz4cXzyySdQKpuffExE5G9MZtFhbIYU7DSnpNoSNMWGNT+Q9GprsbV9HZF03H68dbsMANJiQ6FWCqgxmOQASFLQTFNGiSAI+MP4XrhpiOuyBmnLLKekxuXg2WxrsJYWEwK1F2t7Zo/qgdToEBRX6TF/9QEAQGY3HYI1/DuFOk6rjt0DQK9evXDbbbdh1qxZyMjI8PrCiIh8QW5pDfQNZvlr9wIi65ZZiwGRJeiRxngUVdbjaEElBMG2pQZYirClk2KNT5pddGPLzB1x4VrEhWshisCxAuc9j77Ymw8AmDmse5u+V2MalQJPTbP0aTpaYNmyG5nG7BB1LI8DoilTpiA1NRXPPfccB7wSUcA72aiQWcr+NEcKiOLCmq+zGd0rBkqFgLMlNci7XCtnYAZ10zUJplwVVl9spku1pwY206Ax73Ittp8phSAAM4d5/wDN9KwkZHazdazm/DLqaB4HRBcvXsQzzzyDn3/+GYMGDcKgQYOwZMkS5Ofnt8f6iIg61YlCxynz7mSISt3cMosIUmOodSL9z6dK5Pqh8X3imlzb1zrewr6wut5okgM0Z12qPTWwmcLqL/dZ/owf0ysG3aO8P1tMoRDw3LWWFgWCAHnMCVFH8Tggio2NxcMPP4xt27bhzJkz+M1vfoOPP/4YaWlpuOaaa9pjjUREnebEJUtwEKS2/HFZUuV+hqilLTMAGGcNfjafKMJW69bZ+L7xTa6TM0R2vYikDtVBaoVXipxdHb03m0V5u+z24c5nr3nD2IxY/OmmgfjLbYPd+rkj8qY2VcWlp6fjueeew5///GdkZWXJ9UVERIFCqtmRtnBayhDVGhrkKfWxLWyZAbbC6k3HLqGizghdsBpDrFkje9LR+7PFNTBYa5rs64e8MQBVyhCdKKySewIBwM6cUuSX1SFcq8K0gc0Pf22ru0en4bbh3q1RInJHqwOibdu24cEHH0RSUhJmz56NgQMH4ttvv/Xm2oiIOlW90YRzpbUAgKt6WwKX0prmAyJpu0yrUiDMbn6ZK4O6RyIiSCUfZ786IxZKRdPgJkkXhPAgFRrMIs4UW7bxpKaM3tguA4CUqBCEa1UwmMw4XWTbKvxijyU7NH1wMk9+UcDyOCB6/vnnkZ6ejmuuuQa5ublYunQpCgsLsXLlSlx33XXtsUYiok5xprgaJrMIXbAaA5Is2ZOWtsyKpR5EYVq3sjZKheAw68xZ/RBgOTrfN8Haj8haWO3NgmrAUsfTv1EdUVW9EesOW6YT3D6CmRsKXB4HRFu2bMFTTz2FCxcu4L///S9mz56NkBDvF9gREXU2KfDomxguF0i3tGVWUiUFRO53cr7a7oi9q4BIWgdgK6x2p0u1p6TAT2rQuO5QAeqNZvSKC5ULwIkCUcv53Ea2b9/eHusgIvI50gmzvgnhctfpy7UGmMyi020tACitce+Emb3J/RPwRugJDE2NQryLTtKAfWG1JSC6IDVl1HkvILIdvbdkiP5t3S67bXiKV+qUiHyVxwGR5OjRozh//jwMBsf08YwZM9q8KCIiXyCd6OqTGI7oEA0EwTIx/nKNAXHhzgMeKUMU40GGKC5ci1+enwRFCwGHdPReCogKyr2fIZJOmh0tqMSZ4mrsyS2Dop16DxH5Eo8DorNnz+KWW27BoUOHIAgCRGsloPQvB5Op5cGHRET+4KR1ZEe/xHColApEh2hQWmNASbXeZUDUmgwRAKjcGIUh1RBdKK9DZb1RriFKjvRODREAZCSEQaNUoKq+AUs3nQJg2cZzNQONKFB4XEP02GOPIT09HZcuXUJISAiOHDmCn376CSNGjMCWLVvaYYlERB2vqt4ozw3rE28JRKSsT2kz3arti6q9TReilguo95y7jBrr8f4kL26ZqZUK9Em0jAn55uBFAMDtI9qv9xCRr/A4INqxYwdeeeUVxMXFQaFQQKFQYOzYsVi8eDEeffTR9lgjEVGHkwqqEyOCoLM2PXSnsLo1W2aekAqrNx+3dLWODtV4/Sj8wCSd/OPIEDUm9W/aKJIo0HgcEJlMJoSFWf71EBsbi4sXLf+C6NGjB06cOOHd1TWyePFiCIKA+fPny8+JooiFCxciOTkZwcHBmDBhAo4cOeLwPr1ej0ceeQSxsbEIDQ3FjBkzOGqEiJolF1RbAxDAvYBI2jKLa6dOy9K22Y/HiwB478i9vYF2M8VuHtINWhV7D1Hg8zggyszMxK+//goAGDVqFJYsWYJt27bhlVdeQc+ePb2+QMnu3bvx3nvvYdCgQQ7PL1myBG+++Sbefvtt7N69G4mJiZgyZQqqqmzzfubPn481a9Zg9erV2Lp1K6qrqzF9+nTWOxGRS/ZH7iVS1qe4uQyRtGXmosaoraT1XGiHgmqJdNIMALtGU5fhcUD04osvwmy2tHR/9dVXkZubi6uvvhrr1q3D3//+d68vEACqq6vx29/+Fu+//z6iomwD/0RRxNKlS/HCCy9g5syZyMzMxIoVK1BbW4tVq1YBACoqKvDhhx/ir3/9KyZPnoyhQ4di5cqVOHToEDZt2tQu6yUi/3dcOmGW0DRD5KqGyGgyo7zWCACICW3fLTOJt7pU28vqFokxvWJwy9BuDsERUSDzOCCaNm0aZs6cCQDo2bMnjh49ipKSEhQVFbXbcNeHHnoIN9xwAyZPnuzwfE5ODgoLCzF16lT5Oa1Wi/Hjx8v9kvbu3Quj0ehwTXJyMjIzM5vtqaTX61FZWenwIKKuQRRF+Wh7X7uAKK6FLbPL1u0ypUJAVEj7BES948MceiC1x5aZRqXAqvuuxFu/GcLeQ9RltGm4qyQ6Orrd/qdZvXo19u3bh8WLFzd5rbCwEACQkJDg8HxCQoL8WmFhITQajUNmqfE1zixevBg6nU5+pKTwlAVRV1FSbUBZrRGCYDmGLpG2zFwFRMXWguroUA0ULho3tpVWpUR6bKj8dXtsmRF1RV4JiNpLXl4eHnvsMaxcuRJBQa7/FdQ4GBNFscUAraVrFixYgIqKCvmRl5fn2eKJyG9J2aG0mFAEqW0FxS1tmUmBUnttl0nst8282YOIqCvz6YBo7969KCoqwvDhw6FSqaBSqZCdnY2///3vUKlUcmaocaanqKhIfi0xMREGgwFlZWUur3FGq9UiIiLC4UFEXcMJa0F1H7vsEGArlC6tNshNae1JgZKrpo3e0i/BPiBihojIG3w6IJo0aRIOHTqEAwcOyI8RI0bgt7/9LQ4cOICePXsiMTERGzdulN9jMBiQnZ2NMWPGAACGDx8OtVrtcE1BQQEOHz4sX0NEZO+kVD+U6PgPISnzYzCZUVnX0OR9Je3YlNFeH2uGSKkQEB/ODBGRN7R6lllHCA8PR2ZmpsNzoaGhiImJkZ+fP38+Fi1ahIyMDGRkZGDRokUICQnB7NmzAQA6nQ7z5s3Dk08+iZiYGERHR+Opp55CVlZWkyJtIiLAliGyL6gGgCC1EuFaFar0DSip0csNGyUdtWU2LDUKQWoF+iVGuBwyS0Se8emAyB3PPPMM6urq8OCDD6KsrAyjRo3Chg0bEB5u+4PsrbfegkqlwqxZs1BXV4dJkyZh+fLlUCrZbIyIHJnNol0PorAmr8eGay0BUZUeveIcX5e2zNqrB5EkLlyLn56ZiDCt3/8RTuQz/O7/psbz0gRBwMKFC7Fw4UKX7wkKCsKyZcuwbNmy9l0cEfm9C+V1qDWYoFEqkBYT2uT1mFANckpqUOKksLo955g1xq0yIu/y6RoiIqKOJp0w6xUf5nQCvXzSrKbp0XspSIptpzlmRNR+GBAREdmx1Q813S4DgNhway+iqqYBUWkHZoiIyLsYEBER2ZEyRH0ajciQSMFOcaMtM7NZlAe7MiAi8j8MiIiI7EgF1f1cBEQxLsZ3lNcZYTJbehNFt/MpMyLyPgZEROQxs1nE1/svYNvpEjkICARGkxlniqsBOA51tRdnrQ8qbRQQSV/rgtXQqPhHK5G/8btTZkTU+TYcvYT5nx8AYNkemj4oCTcOTsLQlKh2m+HVEXJKamA0iQjTqlxOkY+VM0SOW2a2E2bMDhH5IwZEROQxKYsCWLaOlm8/h+Xbz6FbZDBuGJSEe69KR2I7TGFvb2eKLPfVKz7M5axDV1tmthNmrB8i8kfM6xKRxy5V1gMAHhjXEx/NHYmZQ7shTKvChfI6vPfTWbz49eFOXmHrnCutBQCkx4S4vEbKANUaTKg12MZ38IQZkX9jhoiIPCYFRN2jgjGxXzwm9otHvdGEz3adx8vfHMXRixWdvMLWyS2tAQD0cNKQURKmVUGrUkDfYEZptQEh0ZY/Rku4ZUbk15ghIiKPFVZa/vJPiLBtiwWplbhlaDcAwMWKelTVGztlbW1xzhoQpcW6zhAJgmB39N62bVbKLTMiv8aAiIg8dqnCkiGyD4gAIDJEgzjrHK8zxTUdvq7GRFFERZ0RoujeSbhc65ZZcxkiwJYFKrUrrJYHuzIgIvJL3DIjIo+YzKKcGXFWOJ0RH4biKj1OF1VjSEpkh63rco0BRy5W4NSlapwqqrL+txoVdUb8ZkQKXr9tULPvrzeaUGAN9JzNMLMX66SwuphjO4j8GgMiIvJIabUeJrMIheB8e6h3fBi2nynFqaKqDlvTqUtVuOHvW2EwmZ2+/sPxSy1+xvnLluxQeJAKUSHqZq+NCWs6vkMuqm7nSfdE1D4YEBGRRwqtBdVx4VoonfQcyoi3zAA7fam6yWvt5cfjRTCYzIgO1WBkWhT6JISjd3wYUqJDMPP/tqOk2oCyGgOimukgfa7EssWXHhvq8si9pHGGSBRFW1F1KAMiIn/EgIiIPFJo3VZKjHDeZ6h3vKXD86mijguI9uSWAQD+ML4n7h/Xy+G1bpHBuFBeh9PF1RgZGu3yM865ccJMIgdE1tllNQYT6o2W7JQ0/JWI/AuLqonII5eqmp4ws5dhnRKfV1aLeqOp3dcjiiL2WQOi4T2imrze25qxOtVCxkrqQZTWTA8iSeMtM2m7LESjRIiG/84k8kcMiIjII9IJM1edqGNCNYgMUUMUHTtat5dzpbUorTFAo1RgYLKuyevSFl5LNU3u9CCSxDXaMrOdMGN2iMhfMSAiIo9INUSuMkSCINjqiDpg22yvNTuU1V2HILWyyeu93VzLuRL3M0RS4XSpdcusuIo9iIj8HQMiIvLIpRYCIsCujqgDCqv3NrNdBti28JoLiPQNJlysqAPgXoYoxlqcXV5rhNFkRmkNx3YQ+TsGRETkESkgclVUDbi/TeUNe3MvA3AdEPWOswRnBc10z867XAdRBEI1Srf6CEWFaOQTdqXVBpRUsQcRkb9jQEREHimUu1S7zoa4k5Xxhoo6I05as1DDUp0HRLoQNeKtW1yu1mNfP9TSkXsAUCgERFuzRCXVers5ZswQEfkrBkRE5LY6gwmV9ZYJ7wkuiqoBW93OudJaGBqcN0v0hv3nLdtlPWJC5JEhza3HVUAknzBrZoZZY/a9iLhlRuT/GBARkduk7bIQjRLhWtfHyxMjghCmVcFkFuX+Pu2hpfohSUtF3p6cMJNI22MldltmPGVG5L8YEBGR2+xPmDW3tSQIgtv9f9rC3YCod0LzzSI96UEkkbJBpdwyIwoIDIiIyG22E2Yt/8Xf3kfvG0xmHMgrBwCM6OG6A7X9WlwVebctQ8SAiCgQMCAiIre1NLbDnlRY3V4nzY4XVqHWYEK4ViUHPK5I2ar8sjrUGRy7ZxtNZuSXWY7ctzTl3l6MNfi5WFEv11XxlBmR/2JARERuu1RpHdvRTEG1xN2GiK0lbZcN7REFhZMhs/ZiQjWIctE9O7+sDiaziCC1Qj6N5g4pG3Si0BLwqZUCdMFqT26BiHwIAyIicpu8ZRbuRobI2pzxbHENGkzeP2kmDXQd0UL9ECB1z7asp3GAJhV9p8WEthhY2ZOyQTkllvfHhGrdOrJPRL6JARERuU0qqnY1x8xet8hgBKkVMJjMOH+51utraW6gqzO9XfRGyi2R6ofcL6gGbBkik1kEwBNmRP6OARERwWwWsenoJXlquyvujO2QKBRCu22bFVTU4UJ5HRQCMCQl0q339I5zXtNkO2Hmfv0Q0LSAmgXVRP6NARER4Z3sM/j9x3vwyrdHXV4jiiKKpBoiN06ZAbZtM1fH3VtLqh/qnxSB0Gb6ITmsRS7ybpQhasUJMwByp2oJAyIi/8aAiKiLK6qsx//bfBqALdBw5nKNAQZrLVC8GzVEQPsVVu/1oH5IIgVnuY26Z+e2ogcRAGhUCociap4wI/JvDIiIurg3NpxArfUoen5ZHSrqnA9AleqHYsM00Kjc+6OjdzsNeZUComEeBEQJEVqEN+qe3WAyI6/MEhD1iPUsQwQ4BkHMEBH5NwZERF3Y4QsV+PfefACWcRwAcLyg0um10naZu9khwNYQ8UxRDczW4uO2qjU04MhFyxrdLagGLCfNejXqnl1QUQ+jSYRGpUCSG3VRjdkHQbHhzBAR+TMGRER+rKRaj2e/+BVf7M33OOAQRRF/+vYoRBG4aUgyRveMAQAccxEQeXLCTJIaHQKNUoE6owkXyus8Wp8rv+ZXwGQWkRgRhG6RwR69t3HHailTlBod4tGRe4lDQMQMEZFfY0BE5Mfe/vE0Pt+Th6f+fRC3/mM7fs0vd/u93x8pxC85l6FVKfDMtf0wIDkCAHCswPn2ltSl2p0TZhKVUoGecZatKG/VEdnPL/O070/jwurWzDCzZ79lFhPKgIjInzEgIvJThgYz/nPgAgBLl+T958tx0//bhue+/LXF4/P6BhMWrTsOALh/XE90iwxG/yRrQFToYsusyv2xHfZ6ebmOyN2Brs5IhdVnrAGRrQeR5/VDALfMiAIJAyIiP7XlRBHKao2IC9ci++mJuGVoN4gisHp3Hia+sQXLt+XA6KJD9Irt53D+ci3iw7X4w/heACAHRMcLq5x2lrZliDzLhHhzyKvZLLYpIJKKvKXu2bYu1a3MEFlHfQgCEB3CgIjInzEgIvJTX+6zFEPfMrQbkiOD8dZvhuCLP4zGgKQIVNY3YOE3RzHmzz/i9fXHcc6aCQEsdUfLfrAcs396Wl+5j0+P6BCEaJQwNJjlcRT2Cj2YY2bPm72IThVVo6LOiCC1Qt7i80Tj7tnSlllrM0Qx1l5EUSEaqJT845TIn/H/YCI/VFZjwI/HiwAAtw7rLj8/Ii0a3zwyFq/enInYMA2Kq/R4Z8sZTHhjC+54bwe+3n8Bf1l/AlX6BmR2i3B4r0IhoF+iJXg56qSwWupS7emWmVS3c/pSNUSx9SfN9A0mPPfVrwCAK9JjoG5FAGLfPfvkpSqcb2WXaknfxHAIAtA3IbxV7yci3+Fei1ci8ilrD16E0SQis1sE+iY6/mWsVAi468oemDUiBT8ev4TVu/OQfbIYO89exs6zl+Xr/nf6wCYnq/onRWDf+XIcK6jCTUNsz+sbTLhcYwDgWVE1YAk2lAoBVfoGXKrUe3RKTSKKIp7/6jD2ny9HRJAKL88Y6PFnSDLiw3H4QiV+PlUCg8kMlUJAcqTnawIsmaVNT4xHXDgLqon8HTNERJ3gyMUKXLv0J2w4Utiq90vbZfYZnsY0KgWuzUzC8t9dga3PXoPHJ/eRj6nPGJyMK9Kjm7xHqiNqnCGSehBpVApEhaibvK85GpVCHpza2sLqD37OwZf78qFUCPh/vx2G9FY0UZRIGaIfjlkybCnRIW3a7uoVF4aIIM9+TojI9zBDRNQJPvw5B8cLq/DyN0dxTb94j/5CPnWpCr/mV0ClEDBjcLJb7+kWGYzHJmfg4Wt643RRtXwUvjHb0XvHgMg21FXr8VF3wFJYfba4BqeLqnF1RpxH7918ogiLvzsGAHjxhv4ev78xKSCS+iq1tqCaiAILM0REHazBZMaPJyzZiQvldVjvYZboC2t2aELfeMR42AxQqRDQNzHcZf1NP2tNTHGVHiV2R/cLW1k/JJEKq7edLkFxVfMtAeydLqrGo6v2wywCd4xMwdwxaa36/o5rCXP4urUF1UQUWBgQEXWw3efKUF5rmxf2/s85bhcbm8wivt5v6T102/BuXl9biEYlFxjbZ4kuSWM7WhkQSVtxm44VYeRrm3DT/9uGZT+cwpGLFS7vvaLWiPs+3oMqfQNGpkXhlZsyW5Wdakzqni1hhoiIAG6ZEXW4DUctGaGJfeOw7UwpDuaVY29uGUakNa3paWzb6RJcqtQjMkSNif3i22V9/ZPCkVNSg6MXK+XtqdaeMJNMGZCAZ67ti/WHC/FrfgUO5pXjYF45/rrxJJJ0QUiLCUVYkAphWssjVKvCnnOXkVNSg26RwXjnruFuD5RtiUqpQHpsKE5cstQztWaoKxEFHp/OEC1evBgjR45EeHg44uPjcfPNN+PEiRMO14iiiIULFyI5ORnBwcGYMGECjhw54nCNXq/HI488gtjYWISGhmLGjBnIz8/vyFshAmD5/brx6CUAwG9GpmLmUEuW5/2fz7r1fqmYesbgZGhVynZZ44CkpnVEUlPG1gZEGpUCD07ojbUPj8Wu5yfhzzOzMLl/AoLUChRU1GPH2VJsPHoJa/ZfwCc7c/GP7DPYk1uGYLUS798zwutzwnon2LbNWnvknogCi09niLKzs/HQQw9h5MiRaGhowAsvvICpU6fi6NGjCA21/CG2ZMkSvPnmm1i+fDn69OmDV199FVOmTMGJEycQHm6pW5g/fz6++eYbrF69GjExMXjyyScxffp07N27F0pl+/ylQl3LqUtVePHrw3h8Sh9caR2S6szxwirkl9VBq1JgXJ9Y9I4Pxerdedhw9BLOldQgrZlsRVW9Ed9b641mNnO6rK3kER52M82kDFG8h12qnYmPCMIdV6TijitSUW80YW9uGUqq9ajRm1CtN6Jab0KNvgG1BhNuHJzUqgaMLZHqiJQKweMBsUQUmHw6IFq/fr3D1x999BHi4+Oxd+9ejBs3DqIoYunSpXjhhRcwc+ZMAMCKFSuQkJCAVatW4YEHHkBFRQU+/PBDfPLJJ5g8eTIAYOXKlUhJScGmTZswbdq0Dr8vCjzv/3wWv+Rcxv/+5zC+nz/OZa2LlB26OiMWIRoVeseHY2LfOGw+UYx/bsvBKzdluvwe6w4VoN5oRq+4UAzurmuX+wBsAdGZ4mrUG00IUivbvGXmSpBaiat6x3r1M90hFXl3iwz22lYcEfk3v/qToKKiAgAQHW2ptcjJyUFhYSGmTp0qX6PVajF+/Hhs374dALB3714YjUaHa5KTk5GZmSlf44xer0dlZaXDg8gZURSRfbIYAHDyUrX8Y2ekgGjKgAT5ufuu7gkA+PeefJTXGly+98u9lmLqW4d390pxsStJuiDogtVoMIs4XWTpLi2fMmtFU0VfNKFvHCb1i8eDE3p19lKIyEf4TUAkiiKeeOIJjB07FpmZln9FFxZatg8SEhIcrk1ISJBfKywshEajQVRUlMtrnFm8eDF0Op38SElJ8ebtUAA5ealaPoUFuK4Hulheh0MXKiAIwDX9bL9nR/eKwYCkCNQZTfj0l/NO33uupAa7zl2GIFhml7UnQRDkOqKjBZWorGtAvdEy7NXTLtW+KlSrwodzR+KOK1I7eylE5CP8JiB6+OGH8euvv+Kzzz5r8lrjfy2Lotjiv6BbumbBggWoqKiQH3l5ea1bOAW8n6wZof5JEVAqBGw7XYojFyuaXLfpmCU7NCw1ymHUgyAI+P3V6QCA5dvPQd9gcnjf+sOFuO0fOwAAY3vHIknX/jUv/e0Kqy9VWbJDumA1gtSsuSOiwOQXAdEjjzyCtWvXYvPmzeje3VZMmpiYCABNMj1FRUVy1igxMREGgwFlZWUur3FGq9UiIiLC4UHkjLRFdtvw7rgu0/J78sOfc5pcJ22XTR3Q9Pfd9EHJSIjQorhKj28OFgAALtcY8Mhn+/GHlXtRUq1HRnwYFrZhhpcn+idZamyOFVS2+YQZEZE/8OmASBRFPPzww/jqq6/w448/Ij093eH19PR0JCYmYuPGjfJzBoMB2dnZGDNmDABg+PDhUKvVDtcUFBTg8OHD8jVErVVraMCuHMvA1PF94nD/OEs90NqDF1FQUSdfV1lvxM6zpQAc64ckGpUCc8dYfn9/8PNZrDtUgClvZuObgxehVAh4cEIvfPPIWPSKC2vy3vYgzzS7WCnXDyUESP0QEZEzPn3K7KGHHsKqVavwn//8B+Hh4XImSKfTITg4GIIgYP78+Vi0aBEyMjKQkZGBRYsWISQkBLNnz5avnTdvHp588knExMQgOjoaTz31FLKysuRTZ0St9cvZyzCYzOgWGYxecaEQBAFXpEdjV85lLN9+Dguu6w8A2HKiGEaTiF5xoejpIqiZfUUqlv14CscLq/Dgp/sAAH0TwvGX2wdhUPfIjrolAEBGQhhUCgGV9Q3Yf74cAJDAie5EFMB8OkP0zjvvoKKiAhMmTEBSUpL8+Pzzz+VrnnnmGcyfPx8PPvggRowYgQsXLmDDhg1yDyIAeOutt3DzzTdj1qxZuOqqqxASEoJvvvmGPYiozaTtsnF94uSaNOnU2KpfzqNa3wDA/nRZosvP0oWoMWuEpXhfqRDwyDW9sfaRqzo8GAIArUopD0HNts5dC5QTZkREzvh0hsid+U6CIGDhwoVYuHChy2uCgoKwbNkyLFu2zIurIwJ+OmUJiMb3sfXSmdQvHj1jQ3G2pAb/2p2Hu67sgS3HLUHF1IGu69YA4Jlr+yJJF4SxGbEYmNx+vYbc0T8pAscLq3CxQpp0z4CIiAKXT2eIiHxZ3uVanC2ugVIhYIxdc0GFQsA866mxD7fmYNuZElTpGxAXrsWQFrI9IRoVHhjfq9ODIcBWWC1hQEREgYwBEVErSdmhYamRiAhSO7x267DuiA7V4EJ5HRautczWm9w/HgpF+zVU9LYBSY5BGU+ZEVEgY0BE1EpS/6Fx1onw9oLUStx1ZQ8AQG5pLQDnp8t8WZMMkY5F1UQUuBgQEbWC0WTGttOWY/Tj+jQNiADgntE95DlZIRolxvTq+JldbRETpkW89WSZUiEgJpQBEREFLgZERK2w/3w5qvUNiA7VIKub83qf2DAtbh1mGbMxvk+cX3Z5lvoRxYdrofSj7T4iIk/59CkzIl8lbZeN7R3bbF3Qc9f1R0JEEG4f4Z+z8AYkRyD7ZDELqoko4DFDRNQKUv+h8S62yyS6YDXmT+6DbpHtP3+sPYy1np4b1L3zT70REbUnZoiIPFRarcdh6/DWq/v4V12Qp67qHYufnp6I5EhmiIgosDEgIvLQ1tMlEEVLfU18eOAHCqkxIZ29BCKidsctMyIPZZ9wb7uMiIj8BwMiCihniqvx0Kp9+PeePDSYzF7/fLNZxE+nSgAA4wJ8u4yIqCthQEQB5a8bTuC/vxbg6S9+xdS3fsJ/DlyAyex6Jp6hwYwzxdVuzc0DgKMFlSip1iNEo8SIHtHeWjYREXUy1hBRwKg3mrDFup0VplXhbEkNHlt9AG//eBqPT+mDawcmwiSK+DW/HDvOlGLn2cvYk3sZ9UYzbhycjDdnDYZa6frfCEaTGX//4RQAYEyvGLnpIhER+T8GRBQwtp8pQa3BhCRdEDY8Pg4rtp/Dez+dxamiajz46T6kRAejtNqAWoOpyXu/OXgRdYYGvD17mNMGivVGEx5etQ+bjhVBrRRw79j0jrglIiLqIPwnLgWMjUcvAbDMDAsPUuPhazKw9blr8NikDIRrVci7XIdagwlRIWpcl5mIl2cMxIbHx+GjuSOhVSmw6VgR5q3YjVpDg8Pn1hlMuO/jPdh0rAhalQLv3zPC78ZwEBFR8wTR3eKJLq6yshI6nQ4VFRWIiIjo7OVQIyaziFGLNqGk2oCV80ZhbIZjwFJea8D2M6VIjw1F34TwJt2ld5wpxe9X7EaNwYThPaLwz7kjoQtWo1rfgHuX78aunMsI0SjxwRwGQ0RE/sTdv7+ZIaIO9Wt+OR75bD/OFld79XMP5JWhpNqA8CAVRvVsWuwcGaLB9VlJ6J8U4XTUxuheMVj5+1GICFJhb24ZZr+/E+dKanDXB79gV85lhGtV+GTeFQyGiIgCFAMi6jCWOpz9+ObgRTy0aj8MDd47Fr/hiGW7bFK/+GYLo5szNDUKq+8fjZhQDY5crMQ1f92CA3nliAxRY9V9V2I4T5UREQUsBkTUYf7f5tM4f7kWAHCsoBJv/3jKK58riiK+P1IIAJg6MLFNnzUgOQL/+sNoJEYEwSwCsWEafHbflcjiLC8iooDGgIg6xOmiavwj+wwA4Pbh3QEA/2/LGfyaX+6Vzz5XWguNSoFxXuge3SsuDF8+OAbzJ2fgiz+MQf8k1owREQU6BkTU7kRRxItfH4LRJGJSv3gsuW0QbhiUBJNZxJP/Ooh6Y9Nj8J7YYD1dNrZ3LMK03ukk0S0yGPMn90FabKhXPo+IiHwbAyJqd2v2X8DOs5cRpFZg4YyBEAQBf7opE7FhGpwqqsZbm0626fM3WLfLpgxI8MZyiYioC2JARO2qvNaA1/57DADw6KQMpERbJqdHh2qw6JYsAMD7P53F3tyyVn1+QUUdDuZXQBCASf3jvbNoIiLqchgQUbt6ff0JlNYYkBEfht+P7enw2tSBiZg5tBvMIvDUvw+izkkH6ZZssm6XDUuNQnx4kFfWTEREXQ8DImo3e3PL8Nmu8wCAV2/OdDr766UbByIhQouckhos+f64x99Dqh+ayu0yIiJqA84yI7ccvViJVbty8eg1GYiPaDkT02Ay44U1hwBYTpWN6hnj9DpdiBqv3zoIcz/ajY+2ncP206VQKgT5oVIICAtS4b6re+Kq3o5NESvqjNhxphRA24/bExFR18aAiFpkaDDj4VX7cLakBoUV9fhgzsgW3/PRtnM4XliFyBA1Flzfv9lrJ/SNx+xRqVj1y3mcuFTl9JotJ4rx+7HpePravtCqlNbnitBgFpERH4Z0ngYjIqI2YEBELVq5MxdnS2oAAJuOFWHziSJM7Ou6gDnvci3e3Gg5Obbgun6IDtW0+D1emTEQtw7rhjqDGSZRhMlsRoNJhFkUkX2yBJ/tOo8PtuZg6+kS/O2OoeibGC53p546kNtlRETUNgyIqFllNQYstR6L75sQjhOXqvDKN0cxpleMnKmxZ+k5dBh1RhNGpUdj1ogUt76PSqlwORrj2swkTOoXj2e//BXHC6tw49tb8cy0vthyoggAMHUAt8uIiKhtWFRNzVq66SQq6xvQLzEc/3pgNOLCLQXQ/9x6zun1aw9eRPbJYmhUCiyamQVBaDpItTUmD0jAd/OvxoS+cTA0mPHqf4+hxmBCQoQWWd04VoOIiNqGARG5dOpSFVb+Yjkl9r83DoAuRI0F1/UDACz78RQKK+odri+vNeCVb44CAB6Z2Bu94sK8up748CB8NHckXrlpILTWE2tTByQ6nV5PRETkCQZE5NJr647BZBYxdUACxvSynPC6ZWg3DO8RhVqDCYvWHXO4ftG6Y3LPoQfG92qXNQmCgHtGp+G/j47FY5My8OikjHb5PkRE1LUwICKnNp8owpYTxVArBTxvd0pMEAS8PGMgBMGyPfbLWcux9+1nSvCvPfkAgD/fmuW055A39Y4Px+NT+iAuXNuu34eIiLoGBkTUhNFklsdtzB2T1mTAaWY3He68IhUA8NLaI6jRN+CFNYcBAHddmeqyOJqIiMhXMSCiJlb9ch6ni6oRHarBw9c435J6empf6ILVOF5Yhdv+sQM5JTWID9fimWv7dfBqiYiI2o7H7rsok1nEqaIqmMwiVAqF3Bm6wWSWp88/MaUPdMFqp++PCtXgqal98Mf/HMGxgkoAwCs3DUREkPPriYiIfBkDoi4o73ItHv5sPw7mlbu8pm9COO4Y2XwPodmjemDVrjwcK6jE1AEJuDYzycsrJSIi6hgMiLqY748U4ul/H0RlfQOC1ApEBKlhFkU0mEWYTCJMooggtRJ/ujkTKmXzO6pKhYB/3DUMX+zNx71XpXfQHRAREXkfA6IAYTaLqNI3uNziMjSYsfi7Y/ho2zkAwJCUSCy7cyhSokPa9H17xITiyal92/QZREREnY0BkZ8SRRFnimuw40wJtp8pxc6zpSirNaJ7VDBG9IjCiLRojEyLRkZ8GC6U1+HhVftwML8CAHDf1el4elq/dj8aT0RE5C8YEPmos8XV+PF4EfQNZhhNlkGnRuvA0+IqPXacLUVxlb7J+/LL6pBfVoevD1wEAEQEqWAWgWpr9uivtw/G5AEchkpERGSPAZGPKanW42+bTmHVrvMwmcVmr9WoFBjRIwqje8ZgTO8Y9IoLw+ELldh97jL25F7GvtxyVNY3AACGpkbi7dnD0C0yuCNug4iIyK8wIPIRdQYT/rktB+9sOYNqvSWIGds7FsmRQVArFVArFVApBKiUCoRplRjWIwrDUqMQpHacOD82IxZjMyxjNowmM44VVKK81ojRvWKgbqFImoiIqKtiQNTJzGYRX+2/gL9uOIEC67DUQd11eP76/riyZ0ybPlutVGBQ90gvrJKIiCiwMSDqRCaziFvf2Y4D1n5A3SKD8cy1fXHjoGROcCciIupADIg6kVIhYESPKJwprsZDE3tj7pi0JltgRERE1P66VFHJ//3f/yE9PR1BQUEYPnw4fv75585eEh6dnIHspyfiD+N7MRgiIiLqJF0mIPr8888xf/58vPDCC9i/fz+uvvpqXHfddTh//nynrisiSI3oUE2nroGIiKirE0RRbP5sd4AYNWoUhg0bhnfeeUd+rn///rj55puxePHiFt9fWVkJnU6HiooKREREtOdSiYiIyEvc/fu7S2SIDAYD9u7di6lTpzo8P3XqVGzfvt3pe/R6PSorKx0eREREFJi6REBUUlICk8mEhATHDs0JCQkoLCx0+p7FixdDp9PJj5SU5ie/ExERkf/qEgGRRBAcj7KLotjkOcmCBQtQUVEhP/Ly8jpiiURERNQJusSx+9jYWCiVyibZoKKioiZZI4lWq4VWq+2I5REREVEn6xIZIo1Gg+HDh2Pjxo0Oz2/cuBFjxozppFURERGRr+gSGSIAeOKJJ3D33XdjxIgRGD16NN577z2cP38ef/jDHzp7aURERNTJukxA9Jvf/AalpaV45ZVXUFBQgMzMTKxbtw49evTo7KURERFRJ+syfYjain2IiIiI/A/7EBERERG5iQERERERdXkMiIiIiKjLY0BEREREXV6XOWXWVlLtOWeaERER+Q/p7+2WzpAxIHJTVVUVAHCmGRERkR+qqqqCTqdz+TqP3bvJbDbj4sWLCA8Pdzn/LBBUVlYiJSUFeXl5Xaa9QFe7Z95vYOP9Bjber+dEUURVVRWSk5OhULiuFGKGyE0KhQLdu3fv7GV0mIiIiC7xP5u9rnbPvN/AxvsNbLxfzzSXGZKwqJqIiIi6PAZERERE1OUxICIHWq0WL730ErRabWcvpcN0tXvm/QY23m9g4/22HxZVExERUZfHDBERERF1eQyIiIiIqMtjQERERERdHgMiIiIi6vIYEHVRP/30E2688UYkJydDEAR8/fXXDq+LooiFCxciOTkZwcHBmDBhAo4cOdI5i/WCxYsXY+TIkQgPD0d8fDxuvvlmnDhxwuGaQLrnd955B4MGDZKbmY0ePRrfffed/Hog3aszixcvhiAImD9/vvxcIN3zwoULIQiCwyMxMVF+PZDuVXLhwgXcddddiImJQUhICIYMGYK9e/fKrwfSPaelpTX59RUEAQ899BCAwLpXAGhoaMCLL76I9PR0BAcHo2fPnnjllVdgNpvlazrknkXqktatWye+8MIL4pdffikCENesWePw+p///GcxPDxc/PLLL8VDhw6Jv/nNb8SkpCSxsrKycxbcRtOmTRM/+ugj8fDhw+KBAwfEG264QUxNTRWrq6vlawLpnteuXSv+97//FU+cOCGeOHFCfP7550W1Wi0ePnxYFMXAutfGdu3aJaalpYmDBg0SH3vsMfn5QLrnl156SRw4cKBYUFAgP4qKiuTXA+leRVEUL1++LPbo0UOcO3eu+Msvv4g5OTnipk2bxNOnT8vXBNI9FxUVOfzabty4UQQgbt68WRTFwLpXURTFV199VYyJiRG//fZbMScnR/z3v/8thoWFiUuXLpWv6Yh7ZkBETQIis9ksJiYmin/+85/l5+rr60WdTif+4x//6IQVel9RUZEIQMzOzhZFsWvcc1RUlPjBBx8E9L1WVVWJGRkZ4saNG8Xx48fLAVGg3fNLL70kDh482OlrgXavoiiKzz77rDh27FiXrwfiPdt77LHHxF69eolmszkg7/WGG24Q7733XofnZs6cKd51112iKHbcry+3zKiJnJwcFBYWYurUqfJzWq0W48ePx/bt2ztxZd5TUVEBAIiOjgYQ2PdsMpmwevVq1NTUYPTo0QF9rw899BBuuOEGTJ482eH5QLznU6dOITk5Genp6bjjjjtw9uxZAIF5r2vXrsWIESNw++23Iz4+HkOHDsX7778vvx6I9ywxGAxYuXIl7r33XgiCEJD3OnbsWPzwww84efIkAODgwYPYunUrrr/+egAd9+vL4a7URGFhIQAgISHB4fmEhATk5uZ2xpK8ShRFPPHEExg7diwyMzMBBOY9Hzp0CKNHj0Z9fT3CwsKwZs0aDBgwQP4DJJDuFQBWr16Nffv2Yffu3U1eC7Rf31GjRuHjjz9Gnz59cOnSJbz66qsYM2YMjhw5EnD3CgBnz57FO++8gyeeeALPP/88du3ahUcffRRarRb33HNPQN6z5Ouvv0Z5eTnmzp0LIPB+LwPAs88+i4qKCvTr1w9KpRImkwmvvfYa7rzzTgAdd88MiMglQRAcvhZFsclz/ujhhx/Gr7/+iq1btzZ5LZDuuW/fvjhw4ADKy8vx5ZdfYs6cOcjOzpZfD6R7zcvLw2OPPYYNGzYgKCjI5XWBcs/XXXed/OOsrCyMHj0avXr1wooVK3DllVcCCJx7BQCz2YwRI0Zg0aJFAIChQ4fiyJEjeOedd3DPPffI1wXSPUs+/PBDXHfddUhOTnZ4PpDu9fPPP8fKlSuxatUqDBw4EAcOHMD8+fORnJyMOXPmyNe19z1zy4yakE6rSFG5pKioqEmE7m8eeeQRrF27Fps3b0b37t3l5wPxnjUaDXr37o0RI0Zg8eLFGDx4MP72t78F5L3u3bsXRUVFGD58OFQqFVQqFbKzs/H3v/8dKpVKvq9Aumd7oaGhyMrKwqlTpwLy1zcpKQkDBgxweK5///44f/48gMD8/xcAcnNzsWnTJvz+97+XnwvEe3366afx3HPP4Y477kBWVhbuvvtuPP7441i8eDGAjrtnBkTURHp6OhITE7Fx40b5OYPBgOzsbIwZM6YTV9Z6oiji4YcfxldffYUff/wR6enpDq8H4j03Jooi9Hp9QN7rpEmTcOjQIRw4cEB+jBgxAr/97W9x4MAB9OzZM+Du2Z5er8exY8eQlJQUkL++V111VZM2GSdPnkSPHj0ABO7/vx999BHi4+Nxww03yM8F4r3W1tZCoXAMR5RKpXzsvsPu2Wvl2eRXqqqqxP3794v79+8XAYhvvvmmuH//fjE3N1cURcsRR51OJ3711VfioUOHxDvvvNOvj3X+z//8j6jT6cQtW7Y4HGetra2Vrwmke16wYIH4008/iTk5OeKvv/4qPv/886JCoRA3bNggimJg3asr9qfMRDGw7vnJJ58Ut2zZIp49e1bcuXOnOH36dDE8PFw8d+6cKIqBda+iaGmloFKpxNdee008deqU+Omnn4ohISHiypUr5WsC7Z5NJpOYmpoqPvvss01eC7R7nTNnjtitWzf52P1XX30lxsbGis8884x8TUfcMwOiLmrz5s0igCaPOXPmiKJoOeb40ksviYmJiaJWqxXHjRsnHjp0qHMX3QbO7hWA+NFHH8nXBNI933vvvWKPHj1EjUYjxsXFiZMmTZKDIVEMrHt1pXFAFEj3LPVgUavVYnJysjhz5kzxyJEj8uuBdK+Sb775RszMzBS1Wq3Yr18/8b333nN4PdDu+fvvvxcBiCdOnGjyWqDda2VlpfjYY4+JqampYlBQkNizZ0/xhRdeEPV6vXxNR9yzIIqi6L18ExEREZH/YQ0RERERdXkMiIiIiKjLY0BEREREXR4DIiIiIuryGBARERFRl8eAiIiIiLo8BkRERETU5TEgIiKfsnz5ckRGRrb5cyZMmID58+e3+XO8YeHChRgyZEhnL4OImsHGjETkU+rq6lBVVYX4+Pg2fc6ECRMwZMgQLF261DsLa4Pq6mro9XrExMR09lKIyAVVZy+AiMhecHAwgoODO3sZXhUWFoawsLDOXgYRNYNbZkTUrr755htERkbKk6sPHDgAQRDw9NNPy9c88MADuPPOOwE03TKTtps++eQTpKWlQafT4Y477kBVVZV8TU1NDe655x6EhYUhKSkJf/3rX5uso6ysDPfccw+ioqIQEhKC6667DqdOnQIAiKKIuLg4fPnll/L1Q4YMcchS7dixA2q1GtXV1U7vc8uWLbjiiisQGhqKyMhIXHXVVcjNzXW4B4kgCE0eaWlp8utHjx7F9ddfj7CwMCQkJODuu+9GSUlJSz/VRNQGDIiIqF2NGzcOVVVV2L9/PwAgOzsbsbGxyM7Olq/ZsmULxo8f7/Izzpw5g6+//hrffvstvv32W2RnZ+PPf/6z/PrTTz+NzZs3Y82aNdiwYQO2bNmCvXv3OnzG3LlzsWfPHqxduxY7duyAKIq4/vrrYTQaIQgCxo0bhy1btgCwBE9Hjx6F0WjE0aNH5TUOHz7caaanoaEBN998M8aPH49ff/0VO3bswP333w9BEJzeT0FBgfw4ffo0evfujXHjxsmvjR8/HkOGDMGePXuwfv16XLp0CbNmzXLjZ5uIWotbZkTUrnQ6HYYMGSIHFFu2bMHjjz+Ol19+GVVVVaipqcHJkycxYcIEl59hNpuxfPlyhIeHAwDuvvtu/PDDD3jttddQXV2NDz/8EB9//DGmTJkCAFixYgW6d+8uv//UqVNYu3Yttm3bhjFjxgAAPv30U6SkpODrr7/G7bffjgkTJuC9994DAPz0008YPHgwUlNTsWXLFgwYMABbtmxxucbKykpUVFRg+vTp6NWrFwCgf//+Lu8nMTERgCUzdeutt0Kn0+Hdd98FALzzzjsYNmwYFi1aJF//z3/+EykpKTh58iT69OnT3E83EbUSM0RE1O4mTJiALVu2QBRF/Pzzz7jpppuQmZmJrVu3YvPmzUhISEC/fv1cvj8tLU0OhgAgKSkJRUVFACzZI4PBgNGjR8uvR0dHo2/fvvLXx44dg0qlwqhRo+TnYmJi0LdvXxw7dkxe45EjR1BSUoLs7GxMmDABEyZMQHZ2NhoaGrB9+3aXWazo6GjMnTsX06ZNw4033oi//e1vKCgoaPHn5fnnn8eOHTvw9ddfy3VTe/fuxebNm+W6o7CwMPnn5syZMy1+JhG1DgMiImp3EyZMwM8//4yDBw9CoVBgwIABGD9+PLKzs1vcLgMAtVrt8LUgCHJNkjsHZV1dI4qivK2VmZmJmJgYZGdnywGRtMbdu3ejrq4OY8eOdfk9PvroI+zYsQNjxozB559/jj59+mDnzp0ur1+5ciXeeustrFmzxiGbZTabceONN+LAgQMOj1OnTsnbakTkfQyIiKjdSXVES5cuxfjx4yEIAsaPH48tW7a4FRA1p3fv3lCr1Q7BR1lZGU6ePCl/PWDAADQ0NOCXX36RnystLcXJkyflrS2pjug///kPDh8+jKuvvhpZWVkwGo34xz/+gWHDhjlkqZwZOnQoFixYgO3btyMzMxOrVq1yet2OHTvw+9//Hu+++y6uvPJKh9eGDRuGI0eOIC0tDb1793Z4hIaGevzzQ0TuYUBERO1OqiNauXKlXIczbtw47Nu3r8X6oZaEhYVh3rx5ePrpp/HDDz/g8OHDmDt3LhQK2x9vGRkZuOmmm3Dfffdh69atOHjwIO666y5069YNN910k3zdhAkTsGrVKgwaNAgRERFykPTpp582u8acnBwsWLAAO3bsQG5uLjZs2OAQbNkrLCzELbfcgjvuuAPTpk1DYWEhCgsLUVxcDAB46KGHcPnyZdx5553YtWsXzp49iw0bNuDee++FyWRq9c8TETWPARERdYiJEyfCZDLJgUVUVBQGDBiAuLi4ZguQ3fGXv/wF48aNw4wZMzB58mSMHTsWw4cPd7jmo48+wvDhwzF9+nSMHj0aoihi3bp1DttxjdcIAOPHj4fJZGo2ixUSEoLjx4/j1ltvRZ8+fXD//ffj4YcfxgMPPNDk2uPHj+PSpUtYsWIFkpKS5MfIkSMBAMnJydi2bRtMJhOmTZuGzMxMPPbYY9DpdA5BHhF5FztVExERUZfHf24QERFRl8eAiIiIiLo8BkRERETU5TEgIiIioi6PARERERF1eQyIiIiIqMtjQERERERdHgMiIiIi6vIYEBEREVGXx4CIiIiIujwGRERERNTlMSAiIiKiLu//A5+6msn55tvrAAAAAElFTkSuQmCC", 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