diff --git a/option_keyboard/environment_wrappers.py b/option_keyboard/environment_wrappers.py index 274a78e..3e90f74 100644 --- a/option_keyboard/environment_wrappers.py +++ b/option_keyboard/environment_wrappers.py @@ -135,7 +135,7 @@ class EnvironmentWithKeyboard(dm_env.Environment): break # Terminate option. - if self._compute_reward(option, action_step.observation) > 0: + if self._should_terminate(option, action_step.observation): break if not self._call_and_return: @@ -143,6 +143,16 @@ class EnvironmentWithKeyboard(dm_env.Environment): return option_step + def _should_terminate(self, option, obs): + if self._compute_reward(option, obs) > 0: + return True + elif np.all(self._options_np[option] <= 0): + # TODO(shaobohou) A hack ensure option with non-positive weights + # terminates after one step + return True + else: + return False + def action_spec(self): return dm_env.specs.DiscreteArray( num_values=self._options_np.shape[0], name="action") @@ -228,7 +238,7 @@ class EnvironmentWithKeyboardDirect(dm_env.Environment): break # Terminate option. - if self._compute_reward(option, action_step.observation) > 0: + if self._should_terminate(option, action_step.observation): break if not self._call_and_return: @@ -236,6 +246,16 @@ class EnvironmentWithKeyboardDirect(dm_env.Environment): return option_step + def _should_terminate(self, option, obs): + if self._compute_reward(option, obs) > 0: + return True + elif np.all(option <= 0): + # TODO(shaobohou) A hack ensure option with non-positive weights + # terminates after one step + return True + else: + return False + def action_spec(self): return dm_env.specs.BoundedArray(shape=(self._keyboard.num_cumulants,), dtype=np.float32, @@ -280,10 +300,7 @@ def _discretize_actions(num_actions_per_dim, # Remove options with all zeros. non_zero_entries = np.sum(np.square(discretized_actions), axis=-1) != 0.0 - # Remove options with no positive elements. - non_negative_entries = np.any(discretized_actions > 0, axis=-1) - discretized_actions = discretized_actions[np.logical_and( - non_zero_entries, non_negative_entries)] + discretized_actions = discretized_actions[non_zero_entries] logging.info("Total number of discretized actions: %s", len(discretized_actions)) logging.info("Discretized actions: %s", discretized_actions) diff --git a/option_keyboard/experiment.py b/option_keyboard/experiment.py index 73de1e2..6121814 100644 --- a/option_keyboard/experiment.py +++ b/option_keyboard/experiment.py @@ -16,7 +16,10 @@ # ============================================================================ """A simple training loop.""" +import csv + from absl import logging +from tensorflow.compat.v1.io import gfile def _ema(base, val, decay=0.995): @@ -32,31 +35,42 @@ def run(env, agent, num_episodes, report_every=200, num_eval_reps=1): num_episodes: Number of episodes to train for. report_every: Frequency at which training progress are reported (episodes). num_eval_reps: Number of eval episodes to run per training episode. + + Returns: + A list of dicts containing training and evaluation returns, and a list of + reported returns smoothed by EMA. """ - train_returns = [] + returns = [] + logged_returns = [] train_return_ema = 0. - eval_returns = [] eval_return_ema = 0. - for episode_id in range(num_episodes): + for episode in range(num_episodes): + returns.append(dict(episode=episode)) + # Run a training episode. train_episode_return = run_episode(env, agent, is_training=True) - train_returns.append(train_episode_return) train_return_ema = _ema(train_return_ema, train_episode_return) + returns[-1]["train"] = train_episode_return # Run an evaluation episode. + returns[-1]["eval"] = [] for _ in range(num_eval_reps): eval_episode_return = run_episode(env, agent, is_training=False) - eval_returns.append(eval_episode_return) eval_return_ema = _ema(eval_return_ema, eval_episode_return) + returns[-1]["eval"].append(eval_episode_return) - if ((episode_id + 1) % report_every) == 0: + if ((episode + 1) % report_every) == 0 or episode == 0: + logged_returns.append( + dict(episode=episode, train=train_return_ema, eval=[eval_return_ema])) logging.info("Episode %s, avg train return %.3f, avg eval return %.3f", - episode_id + 1, train_return_ema, eval_return_ema) + episode + 1, train_return_ema, eval_return_ema) if hasattr(agent, "get_logs"): - logging.info("Episode %s, agent logs: %s", episode_id + 1, + logging.info("Episode %s, agent logs: %s", episode + 1, agent.get_logs()) + return returns, logged_returns + def run_episode(environment, agent, is_training=False): """Run a single episode.""" @@ -75,3 +89,14 @@ def run_episode(environment, agent, is_training=False): episode_return = environment.episode_return return episode_return + + +def write_returns_to_file(path, returns): + """Write returns to file.""" + + with gfile.GFile(path, "w") as file: + writer = csv.writer(file, delimiter=" ", quoting=csv.QUOTE_MINIMAL) + writer.writerow(["episode", "train"] + + [f"eval_{idx}" for idx in range(len(returns[0]["eval"]))]) + for row in returns: + writer.writerow([row["episode"], row["train"]] + row["eval"]) diff --git a/option_keyboard/gpe_gpi_experiments/eval_keyboard_fig5.py b/option_keyboard/gpe_gpi_experiments/eval_keyboard_fig5.py index 3af1765..167a986 100644 --- a/option_keyboard/gpe_gpi_experiments/eval_keyboard_fig5.py +++ b/option_keyboard/gpe_gpi_experiments/eval_keyboard_fig5.py @@ -30,7 +30,7 @@ python3 train_keyboard.py --logtostderr --policy_weights_name=5 Then generate the polar plot data as follows: -python3 eval_keyboard_fig5a.py --logtostderr \ +python3 eval_keyboard_fig5.py --logtostderr \ --keyboard_paths=/tmp/option_keyboard/keyboard_12/tfhub,/tmp/option_keyboard/keyboard_34/tfhub,/tmp/option_keyboard/keyboard_5/tfhub \ --num_episodes=1000 @@ -57,11 +57,14 @@ Example outout: [ 0.099 0.349 0.055 ]] """ +import csv + from absl import app from absl import flags import numpy as np import tensorflow.compat.v1 as tf +from tensorflow.compat.v1.io import gfile import tensorflow_hub as hub from option_keyboard import configs @@ -75,20 +78,12 @@ from option_keyboard.gpe_gpi_experiments import regressed_agent FLAGS = flags.FLAGS flags.DEFINE_integer("num_episodes", 1000, "Number of training episodes.") flags.DEFINE_list("keyboard_paths", [], "Path to keyboard model.") +flags.DEFINE_string("output_path", None, "Path to write out returns.") -def evaluate_keyboard(keyboard_path): +def evaluate_keyboard(keyboard_path, weights_to_sweep): """Evaluate a keyboard.""" - angles_to_sweep = np.deg2rad(np.linspace(-90, 180, num=19, endpoint=True)) - weights_to_sweep = np.stack( - [np.cos(angles_to_sweep), - np.sin(angles_to_sweep)], axis=-1) - weights_to_sweep /= np.sum( - np.maximum(weights_to_sweep, 0.0), axis=-1, keepdims=True) - weights_to_sweep = np.clip(weights_to_sweep, -1000, 1000) - tf.logging.info(weights_to_sweep) - # Load the keyboard. keyboard = smart_module.SmartModuleImport(hub.Module(keyboard_path)) @@ -124,20 +119,41 @@ def evaluate_keyboard(keyboard_path): f"{FLAGS.num_episodes} episodes is {np.mean(returns)}") all_returns.append(returns) - return all_returns, weights_to_sweep + return all_returns def main(argv): del argv + angles_to_sweep = np.deg2rad(np.linspace(-90, 180, num=19, endpoint=True)) + weights_to_sweep = np.stack( + [np.sin(angles_to_sweep), + np.cos(angles_to_sweep)], axis=-1) + weights_to_sweep /= np.sum( + np.maximum(weights_to_sweep, 0.0), axis=-1, keepdims=True) + weights_to_sweep = np.clip(weights_to_sweep, -1000, 1000) + tf.logging.info(weights_to_sweep) + all_returns = [] for keyboard_path in FLAGS.keyboard_paths: - returns, _ = evaluate_keyboard(keyboard_path) + returns = evaluate_keyboard(keyboard_path, weights_to_sweep) all_returns.append(returns) print("Results:") print(np.mean(all_returns, axis=-1).T) + if FLAGS.output_path: + with gfile.GFile(FLAGS.output_path, "w") as file: + writer = csv.writer(file, delimiter=" ", quoting=csv.QUOTE_MINIMAL) + writer.writerow(["angle", "return", "idx"]) + for idx, returns in enumerate(all_returns): + for row in np.array(returns).T.tolist(): + assert len(angles_to_sweep) == len(row) + for ang, val in zip(angles_to_sweep, row): + ang = "{:.4g}".format(ang) + val = "{:.4g}".format(val) + writer.writerow([ang, val, idx]) + if __name__ == "__main__": tf.disable_v2_behavior() diff --git a/option_keyboard/gpe_gpi_experiments/generate_figures.ipynb b/option_keyboard/gpe_gpi_experiments/generate_figures.ipynb new file mode 100644 index 0000000..9636d2d --- /dev/null +++ b/option_keyboard/gpe_gpi_experiments/generate_figures.ipynb @@ -0,0 +1,839 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "N1EHYIqxd80m" + }, + "source": [ + "\n", + "\n", + "##### Copyright 2020 DeepMind Technologies Limited.\n", + "\n", + "```\n", + "# Licensed under the Apache License, Version 2.0 (the \"License\");\n", + "# you may not use this file except in compliance with the License.\n", + "# You may obtain a copy of the License at\n", + "#\n", + "# https://www.apache.org/licenses/LICENSE-2.0\n", + "#\n", + "# Unless required by applicable law or agreed to in writing, software\n", + "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", + "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", + "# See the License for the specific language governing permissions and\n", + "# limitations under the License.\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "cellView": "form", + "colab": {}, + "colab_type": "code", + "executionInfo": { + "elapsed": 463, + "status": "ok", + "timestamp": 1596535361372, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "BbsG8P6ICv2t" + }, + "outputs": [], + "source": [ + "#@title Util functions\n", + "\n", + "import csv\n", + "import os\n", + "from matplotlib import pyplot as plt\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import tensorflow.compat.v1 as tf\n", + "from tensorflow.compat.v1.io import gfile\n", + "\n", + "\n", + "def read_csv_as_dataframe(path):\n", + " with gfile.GFile(path, \"r\") as file:\n", + " reader = csv.reader(file, delimiter=\" \")\n", + " rows = [row for row in reader]\n", + " rows[1:] = [[float(v) for v in row] for row in rows[1:]]\n", + " cols = rows[0]\n", + " rows = dict(zip(cols, (zip(*rows[1:]))))\n", + "\n", + " return pd.DataFrame(rows)\n", + "\n", + "\n", + "def read_data(path, num_seeds, verbose=False):\n", + " all_dfs = []\n", + " for seed in range(num_seeds):\n", + " seed_path = path.format(seed)\n", + " if verbose:\n", + " print(f\"Reading {seed_path}\")\n", + " df = read_csv_as_dataframe(seed_path)\n", + " df[\"seed\"] = seed \n", + " all_dfs.append(df)\n", + " return pd.concat(all_dfs)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "cellView": "code", + "colab": { + "height": 34 + }, + "colab_type": "code", + "executionInfo": { + "elapsed": 573, + "status": "ok", + "timestamp": 1596539425543, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "YiiUlbIS42px", + "outputId": "acafa0a9-eba2-4f60-c29b-ebfc26f0357f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Archive: /tmp/learning_curves.zip\n" + ] + } + ], + "source": [ + "#@title Unpack precomputed training curves\n", + "# TODO(shaobohou) Add data url.\n", + "!unzip -f /tmp/learning_curves.zip -d /tmp\n", + "DATA_DIR = \"/tmp\"" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "OFWlVSJdght9" + }, + "source": [ + "# Figure 4b\n", + "\n", + "To generate the q-learning results:\n", + "```\n", + "python3 ../run_dqn.py --num_episodes=20000 --report_every=5 --output_path=/tmp/fig4_dqn.csv\n", + "```\n", + "\n", + "To generate the regressed w results:\n", + "```\n", + "python3 train_keybooard.py --num_pretrain_episodes=20000 --policy_weights_name=12 --export_path=/tmp/fig4_keyboard\n", + "python3 run_regressed_w_fig4b.py --num_episodes=4000 --report_every=5 --keyboard_path=/tmp/fig6_keyboard/tfhub \\\n", + " --output_path=/tmp/fig4b_regressed_w.csv\n", + "```\n", + "\n", + "To generate the results with true w:\n", + "```\n", + "# Make use of a pretrained keyboard.\n", + "python3 run_true_w_fig4.py --num_episodes=1000 --keyboard_path=/tmp/fig4_keyboard/tfhub -- output_path=/tmp/fig4b_true_w.csv\n", + "```\n", + "\n", + "Repeat the above steps for multiple runs. Below shows the results for 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "cellView": "form", + "colab": {}, + "colab_type": "code", + "executionInfo": { + "elapsed": 1172, + "status": "ok", + "timestamp": 1596535601681, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "d694MYF5ght_" + }, + "outputs": [], + "source": [ + "#@title Load Data\n", + "\n", + "dqn_path = os.path.join(DATA_DIR, \"fig4_dqn_{}.csv\")\n", + "dqn_df = read_data(dqn_path, num_seeds=10)\n", + "dqn_df[\"method\"] = \"Q-Learning\"\n", + "\n", + "regressed_w_path = os.path.join(DATA_DIR, \"fig4_regressed_w_{}.csv\")\n", + "regressed_w_df = read_data(regressed_w_path, num_seeds=10)\n", + "regressed_w_df[\"method\"] = \"GPE+GPI with regressed w\"\n", + "\n", + "true_w_path = os.path.join(DATA_DIR, \"fig4_true_w_{}.csv\")\n", + "true_w_df = read_data(true_w_path, num_seeds=10)\n", + "true_w_df[\"method\"] = \"GPE+GPI with true w\"\n", + "\n", + "fig4b_df = pd.concat([dqn_df, regressed_w_df])" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "cellView": "form", + "colab": { + "height": 400 + }, + "colab_type": "code", + "executionInfo": { + "elapsed": 4996, + "status": "ok", + "timestamp": 1596535606684, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "dO0W-e43ghuD", + "outputId": "4d269d4f-9e5f-4dbc-b9ed-b0bcb17e79f1" + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtsAAAF/CAYAAACYFQXNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", + "text/plain": [ + "\u003cFigure size 1200x600 with 1 Axes\u003e" + ] + }, + "metadata": { + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "#@title Plot\n", + "\n", + "fig, ax = plt.subplots(figsize=(12,6))\n", + "sns.tsplot(fig4b_df, time=\"episode\", unit=\"seed\", value=\"eval_0\", condition=\"method\", ci=95, color=[\"r\", \"b\"], linestyle=\"--\", ax=ax)\n", + "\n", + "ax.axhline(dqn_df.groupby(\"seed\").tail(1).mean()[\"eval_0\"], color='r', linestyle='--')\n", + "ax.axhline(true_w_df.mean()[\"return\"], color='b', linestyle='-', label=\"GPE+GPI with true w\")\n", + "\n", + "ax.text(\n", + " 800,\n", + " 4.3,\n", + " r\"$Q$-learning after $10^6$ sample transitions\",\n", + " fontdict=dict(fontsize=15))\n", + "\n", + "ax.set_xlim([0, 3000])\n", + "ax.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "4ruEpAxS56s5" + }, + "source": [ + "# Figure 4c\n", + "\n", + "To generate the regressed w results:\n", + "```\n", + "python3 train_keybooard.py --num_pretrain_episodes=20000 --policy_weights_name=12 --export_path=/tmp/fig4_keyboard\n", + "python3 run_regressed_w_fig4c.py --num_episodes=100 --report_every=1 --keyboard_path=/tmp/fig6_keyboard/tfhub \\\n", + " --output_path=/tmp/fig4b_regressed_w.csv\n", + "```\n", + "\n", + "To generate the regressed w with learned phi results:\n", + "```\n", + "# First train a phi model. Change num_phis to phi of different dimensions e.g. 3 or 4.\n", + "python3 train_phi_model.py --export_path=/tmp/phi_model_2d --num_phis=2\n", + "# Then train a keyboard.\n", + "python3 train_keybooard_with_phi.py --num_pretrain_episodes=20000 --phi_model_phi=/tmp/phi_model_2d \\\n", + " --export_path=/tmp/fig4_keyboard_with_phi\n", + "# Finally regress w with both models.\n", + "python3 run_regressed_w_with_phi_fig4c.py --num_episodes=100 --report_every=1 --keyboard_path=/tmp/fig4_keyboard_with_phi/tfhub \\\n", + " --output_path=/tmp/fig4c_regressed_w.csv\n", + "```\n", + "\n", + "(Note that training of the phi model can converge to a poor local minima, so it maybe necessary to rerun it if the eval loss is too high, or use a larger set of random training tasks.)\n", + "\n", + "Repeat the above steps for multiple runs. Below shows the results for 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "cellView": "form", + "colab": {}, + "colab_type": "code", + "executionInfo": { + "elapsed": 854, + "status": "ok", + "timestamp": 1596535607547, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "Lp22-gE856s9" + }, + "outputs": [], + "source": [ + "#@title Load Data\n", + "\n", + "dqn_path = os.path.join(DATA_DIR, \"fig4_dqn_{}.csv\")\n", + "dqn_df = read_data(dqn_path, num_seeds=10)\n", + "dqn_df[\"method\"] = \"Q-Learning\"\n", + "\n", + "true_w_path = os.path.join(DATA_DIR, \"fig4_true_w_{}.csv\")\n", + "true_w_df = read_data(true_w_path, num_seeds=10)\n", + "true_w_df[\"method\"] = \"GPE+GPI with true w\"\n", + "\n", + "regressed_w_path = os.path.join(DATA_DIR, \"fig4c_regressed_w_{}.csv\")\n", + "regressed_w_df = read_data(regressed_w_path, num_seeds=10)\n", + "regressed_w_df[\"method\"] = \"GPE+GPI with regressed w\"\n", + "\n", + "regressed_w_with_phi_2d_path = os.path.join(DATA_DIR, \"fig4c_regressed_w_with_phi_{}_2d.csv\")\n", + "regressed_w_with_phi_2d_df = read_data(regressed_w_with_phi_2d_path, num_seeds=10)\n", + "regressed_w_with_phi_2d_df[\"method\"] = \"GPE+GPI with regressed w and 2d phi\"\n", + "\n", + "regressed_w_with_phi_3d_path = os.path.join(DATA_DIR, \"fig4c_regressed_w_with_phi_{}_3d.csv\")\n", + "regressed_w_with_phi_3d_df = read_data(regressed_w_with_phi_3d_path, num_seeds=10)\n", + "regressed_w_with_phi_3d_df[\"method\"] = \"GPE+GPI with regressed w and 3d phi\"\n", + "\n", + "regressed_w_with_phi_4d_path = os.path.join(DATA_DIR, \"fig4c_regressed_w_with_phi_{}_4d.csv\")\n", + "regressed_w_with_phi_4d_df = read_data(regressed_w_with_phi_4d_path, num_seeds=10)\n", + "regressed_w_with_phi_4d_df[\"method\"] = \"GPE+GPI with regressed w and 4d phi\"\n", + "\n", + "fig4c_df = pd.concat([regressed_w_df, regressed_w_with_phi_2d_df, regressed_w_with_phi_3d_df, regressed_w_with_phi_4d_df])" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "cellView": "form", + "colab": { + "height": 400 + }, + "colab_type": "code", + "executionInfo": { + "elapsed": 1466, + "status": "ok", + "timestamp": 1596535609019, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "qxaeiWVz56tC", + "outputId": "022ab826-c5a0-4e30-9215-d21ab4b40c66" + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtQAAAF/CAYAAABpHl5AAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCCFMIAm1EEIIIYQQJvh/yN+rFG55AxYAAAAASUVORK5CYII=\n", + "text/plain": [ + "\u003cFigure size 1200x600 with 1 Axes\u003e" + ] + }, + "metadata": { + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "#@title Plot\n", + "\n", + "fig, ax = plt.subplots(figsize=(12,6))\n", + "sns.tsplot(fig4c_df, time=\"episode\", unit=\"seed\", value=\"eval_0\", condition=\"method\", ci=95, ax=ax)\n", + "\n", + "ax.axhline(dqn_df.groupby(\"seed\").tail(1).mean()[\"eval_0\"], color='r', linestyle='--')\n", + "ax.axhline(true_w_df.mean()[\"return\"], color='b', linestyle='-', label=\"GPE+GPI with true w\")\n", + "\n", + "ax.text(\n", + " 8,\n", + " 4.3,\n", + " r\"$Q$-learning after $10^6$ sample transitions\",\n", + " fontdict=dict(fontsize=15))\n", + "\n", + "ax.set_xlim([0, 30])\n", + "ax.legend();" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "LqZUN6k-ssNB" + }, + "source": [ + "# Figure 5a\n", + "\n", + "To generate the result for each set of policies:\n", + "\n", + "```\n", + "# Train a keyboard for a set of policies, i.e. replace {POLICY} with 5, 12 or 34\n", + "python3 train_keyboard.py --num_pretrain_episodes=20000 --policy_weights_name={POLICY} --export_path=/tmp/fig5a_keyboard_{POLICY}\n", + "# Evaluate the trained keyboard at regular interval between [-1, 0] to [0, -1]\n", + "python3 eval_keyboard_fig5.py --num_episodes=1000 --keyboard_paths=/tmp/fig5a_keyboard_{POLICY}/tfhub \\\n", + " --output_path=/tmp/fig5_polar_{POLICY}.csv\n", + "```\n", + "\n", + "Repeat the above steps for multiple runs. Below shows the results for 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "cellView": "form", + "colab": {}, + "colab_type": "code", + "executionInfo": { + "elapsed": 5595, + "status": "ok", + "timestamp": 1596535614623, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "pKXVbt_UssNE" + }, + "outputs": [], + "source": [ + "#@title Load Data\n", + "\n", + "policy_12_path = os.path.join(DATA_DIR, \"fig5_polar_{}_12.csv\")\n", + "policy_12_df = read_data(policy_12_path, num_seeds=10)\n", + "policy_34_path = os.path.join(DATA_DIR, \"fig5_polar_{}_34.csv\")\n", + "policy_34_df = read_data(policy_34_path, num_seeds=10)\n", + "policy_5_path = os.path.join(DATA_DIR, \"fig5_polar_{}_5.csv\")\n", + "policy_5_df = read_data(policy_5_path, num_seeds=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "cellView": "form", + "colab": { + "height": 606 + }, + "colab_type": "code", + "executionInfo": { + "elapsed": 869, + "status": "ok", + "timestamp": 1596535615501, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "4f-68h2ZssNI", + "outputId": "f646adb7-02c2-43e5-b0ad-87594eb7ad91" + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnoAAAJNCAYAAACm1dgZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQgjpoSjoEUIIIYT0UBT0CCGEEEJ6qP8DfHJxDRXFK2YAAAAASUVORK5CYII=\n", + "text/plain": [ + "\u003cFigure size 1000x1000 with 1 Axes\u003e" + ] + }, + "metadata": { + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "#@title Plot\n", + "\n", + "use_polar = True\n", + "plt.figure(figsize=(10, 10))\n", + "ax = plt.subplot(111, polar=use_polar)\n", + "\n", + "policy_5_mean_df = policy_5_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_5_mean_df.index,\n", + " policy_5_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='r')\n", + "\n", + "policy_12_mean_df = policy_12_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_12_mean_df.index,\n", + " policy_12_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='g')\n", + "\n", + "policy_34_mean_df = policy_34_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_34_mean_df.index,\n", + " policy_34_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='b')\n", + "\n", + "legend = ax.legend([\n", + " r\"GPE + GPI with $\\Pi_{5}$\", r\"GPE + GPI with $\\Pi_{12}$\", r\"GPE + GPI with $\\Pi_{34}$\",\n", + " r\"$Q$-learning\"\n", + "],\n", + " fontsize=\"22\",\n", + " loc=\"lower left\")\n", + "\n", + "ax.set_theta_zero_location(\"N\")\n", + "ax.set_theta_direction(-1)\n", + "\n", + "lines, labels = ax.set_thetagrids(\n", + " (0, 45, 90, 135, 315),\n", + " (r\"$\\mathbf{w}_2 = [0,1]$\", r\"$\\mathbf{w}_5 = [1,1]$\",\n", + " r\"$\\qquad \\mathbf{w}_1 = [1,0]$\", r\"$\\mathbf{w}_3 = [1,-1]$\",\n", + " r\"$\\mathbf{w}_4 = [-1,1]$\"),\n", + " fontweight=\"bold\",\n", + " fontsize=15)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "MlOymzIuhQh3" + }, + "source": [ + "# Figure 5b\n", + "\n", + "To generate the result for each set of policies:\n", + "\n", + "```\n", + "# Train a keyboard for a set of policies, i.e. replace {POLICY} with 4, 42, 425, 4251 or 42513\n", + "python3 train_keyboard.py --num_pretrain_episodes=20000 --policy_weights_name={POLICY} --export_path=/tmp/fig5a_keyboard_{POLICY}\n", + "# Evaluate the trained keyboard at regular interval between [-1, 0] to [0, -1]\n", + "python3 eval_keyboard_fig5.py --num_episodes=1000 --keyboard_paths=/tmp/fig5a_keyboard_{POLICY}/tfhub \\\n", + " --output_path=/tmp/fig5_polar_{POLICY}.csv\n", + "```\n", + "\n", + "Repeat the above steps for multiple runs. Below shows the results for 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "cellView": "form", + "colab": {}, + "colab_type": "code", + "executionInfo": { + "elapsed": 8861, + "status": "ok", + "timestamp": 1596535624390, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "lkACArMNhUbl" + }, + "outputs": [], + "source": [ + "#@title Load Data\n", + "\n", + "policy_42513_path = os.path.join(DATA_DIR, \"fig5_polar_{}_42513.csv\")\n", + "policy_42513_df = read_data(policy_42513_path, num_seeds=10)\n", + "policy_4251_path = os.path.join(DATA_DIR, \"fig5_polar_{}_4251.csv\")\n", + "policy_4251_df = read_data(policy_4251_path, num_seeds=10)\n", + "policy_425_path = os.path.join(DATA_DIR, \"fig5_polar_{}_425.csv\")\n", + "policy_425_df = read_data(policy_425_path, num_seeds=10)\n", + "policy_42_path = os.path.join(DATA_DIR, \"fig5_polar_{}_42.csv\")\n", + "policy_42_df = read_data(policy_42_path, num_seeds=10)\n", + "policy_4_path = os.path.join(DATA_DIR, \"fig5_polar_{}_4.csv\")\n", + "policy_4_df = read_data(policy_4_path, num_seeds=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "cellView": "form", + "colab": { + "height": 606 + }, + "colab_type": "code", + "executionInfo": { + "elapsed": 962, + "status": "ok", + "timestamp": 1596535625361, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "mm46b10CiThP", + "outputId": "946592c0-14f2-418e-f6a7-e5bfb34bf6e3" + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnoAAAJNCAYAAACm1dgZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzsvXd8FPed//+cme2r3kFUUQSI3rsN\ntrEd3GIbl7tg7CROcufYaU4u7ZzEl8t9L5fyi4PtNCcuaXacOC6JDTYgwIBBgKimC4RQr9v7zO+P\n0S6SpZVWDYT4PB8PPXa185nPfGbbvPZdJU3TNAQCgUAgEAgEQw75ci9AIBAIBAKBQDAwCKEnEAgE\nAoFAMEQRQk8gEAgEAoFgiCKEnkAgEAgEAsEQRQg9gUAgEAgEgiGKEHoCgUAgEAgEQxQh9AQCgUAg\nEAiGKELoCQQCgUAgEAxRhNATCASXhbVr11JYWEhhYSHPP/98u22nT59m3bp1zJgxg6VLl/Kzn/2M\nSCSS8Nzl5eU88cQT3HbbbUyePJm1a9d2Ou7nP/95bA2PPfZYX05HIBAIBiVC6AkEgsvGggULePnl\nl1m9enXsMYfDwYMPPogkSTzzzDM88sgj/O53v+Opp55KeN5Tp06xdetWxowZw5gxY+KOW7NmDS+/\n/DJTpkzpy2kIBALBoMVwuRcgEAiuXtLS0pg5c2a7x/785z8TCARYv349SUlJLFmyBLfbzfr163n4\n4YdJSkrqdt6VK1dy/fXXA/DYY4/R3Nzc6bi8vDzy8vISmlMgEAiuRIRFTyAYorz55psxt+Tx48cB\n2LFjR+yx8vJyAN59993YYwcOHLicSwZg27ZtLF26tJ34Wr16NX6/nz179iQ0hyyLrzaBQCAAIfQE\ngiHLvHnzYvdLS0vb3ba9v3//fgCsVitFRUU9OoamaYTD4W7/ekJZWRkFBQXtHhs+fDhWq5WysrIe\nzSUQCARXO8J1KxAMUfLy8sjPz6eyspIDBw5w//33U1paiiRJaJrGgQMHuOOOO2KCb8aMGRiNxh4d\n47XXXuMb3/hGt+NOnDiR8JxOp5Pk5OQOj6ekpOB0Onu0PoFAILjaEUJPIBjCzJ07Nyb0NE3j0KFD\nTJ8+ncrKSkpLSwkGgxw9ehS4aAGsrq7m61//OnV1dciyzDXXXMNXv/pVJEnqMP+KFSt49dVX+33d\nnR1L07ROHxcIBAJBfITQEwiGMPPmzeP111/n3Llz7N27F6fTyaxZs8jKyqK4uJiSkhKCwSCgi0IA\nRVF4/PHHmTZtGsFgkE9+8pNs3LiRG2+8scP8aWlpnVrf+kJKSgoul6vD4263u9+PJRAIBEMdIfQE\ngiHMnDlzYvejtepmzpxJZmYmmzZt4oUXXgDAaDTGsl9zcnLIyckBwGQyUVhYSHV1dafzD4TrtqCg\noEMsXnV1NV6vt0PsnkAgEAi6Rgg9gWAIU1BQQGZmJo2NjWzevBmA2bNnk5WVBegZrgBTp07FYrF0\n2L+5uZn33nuP3/72t53OPxCu2+XLl/Pcc8/hdrtjmbf//Oc/sVgszJ8/v1+PJRAIBEMdIfQEgiHO\n3Llz2bBhA6qqMmzYMHJzc0lJScFgMMQyYqNu27YEg0Eee+wx1q1bx7hx4zqdOz09nfT09H5d7333\n3cdLL73Eo48+ysMPP0xFRQXr16/nwQcfjAm/3bt388ADD/Diiy+yYMGCDnP4fD62bt0KQG1tLW63\nm3feeQeAa665BqvV2q9rFggEgsGKEHoCwRBnzpw5bNiwAYBZs2YBeimVwsLCDokYUSKRCI8//jhT\npkzhk5/85CVdb2pqKs8//zxPPvkkn/vc50hJSWHdunU8+uijsTF+vx+AzMzMTudobGzkC1/4QrvH\nov9v2rSJESNGDNDqBQKBYHAhhJ5AMMRZt24d69at6/D43/72t7j7PPHEE9jtdr7+9a8P5NJidfgU\nRWmXUTt+/HhefPHFuPsdPHiQ+fPnM378+E63jxgxIqG4QFVVUVUVTdN6vniBQCC4AhAFkwUCQTv2\n7dvHq6++ypEjR7jjjju4/fbbuxRdfWHjxo0UFRXFkkISpbS0lIceeqjPx3/66acpKiqipKSkz3MJ\nBALBYETSxE9ZgUBwGSgrK8Pj8QB654t4btiBpLa2lrq6OkAvFTNy5MhLvgaBQCAYSITQEwgEAoFA\nIBiiCNetQCAQCAQCwRBFCD2BQCAQCASCIYoQegKBQCAQCARDFCH0BAKBQCAQCIYoQugJBAKBQCAQ\nDFGE0BMIBAKBQCAYogihJxAIBAKBQDBEES3QBAJBXLoqs9m2ZVnb8fou0dv2KIr+2zISUTuZD0BC\nkuLP3ZO1CAQCgUAIPYHgquSjoikqlHShpqGqGpGIiqrq9zXt4rau7idCdnYyTU2ebsdFBZ/+F/++\nLEvIsoSiyMiyFNvW1XkKBALB1YIQegLBEKStwImKG1VViUS0Nrf6/aiY0wXd4GmUExWR0PM1SZIU\nE4D6n9wqBvX70Vv9OB2fK4FAIBgqCKEnEFyhdC7mdEtcJKISDqux+525SocymqYRiWhEIl2PUxQ5\n9mcwXLwvyx0tgkIECgSCKxEh9ASCK4Co4JAkKSZiwuFIOyEXiagJu08FOvFEsCS1F4G6EFRQFCn2\nGujjhPgTCASDGyH0BIJBRkdRpxIKRQiHVcJh/VYwsGgarc93x+faYNBFn8EgYzQqKIosxJ9AIBi0\nSNpgCsoRCK4yBruoiyY3XExyoN39jgkSAFLrOUVnkWL3P5p1G83QvXhf//9ikkfHxI+2ySHRuEJV\nvbxfY0L8CQSCwYoQegLBJaTthV9VNYLBcKuwu7Sirm2Watts1bYJDFGh0jZRo63wUtXOsm8hnnCL\nkpmZRGOju/V5gHjC8KNiUpY7Cst4a20rAKPZw9HbS0VU/BmNCiaTAVkWwk8gEFx6hOtWIBhA4gm7\nUCgyoAkSkiTFkgs6E3XRjNuLWbjts28HOgO3veDqn+N0zLTV/0wmQyzLNnruHxV/0eSV/jznqOvX\n7w8BujXTaBTCTyAQXFqE0BMI+pFLLewURWpNFlDaZY4CRCKR1sxTlWAwfFmsWpeSRDNtPyp8jUYF\ni8WAoigAbTKWI7H7/fGcRRM/hPATCASXEuG6FQj6SNuPUDAYJhgcGGHXNgYsKujaWqPallUZTB9r\npyfI0XNNHD3bxJkqJ4osMSLbTuGodCaNSiMvwzZohE1bS2hb4SzLUuy5bRtD2Z9EhZ/JpAu/tmsS\nCASC3iKEnkDQCzRNa7XaqQQCYQIB3XLXH0jSRVEXvVUUuV2CxmBI1IhHKKxyutLBkbONHD3bxPla\nd+sWDYwBiBhAvShkUuwmJo5Mo3BkGoWj0hieZUcehOKm7esRvY2Kv7avS399oxqNCmazAbPZgCzL\nsfecQCAQ9AQh9ASCBGjrUguHIzFx1x9WO1mWYi48o1FBlmUikQih0EUBMZgLHmuaRk2TlyNndavd\n8fPNBEMqGILI9hbkJAey3YFsbyE5GECVJdxaMuHa0USahkHE2G6+JKtRF36jdPE3IidpUAo/IGb1\n05MudBe6qqoxd30oFOkXt6+iyDHRZzAowsUrEAgSRgg9gSAObT8aoZAu7qKxbn0h6n7VXbBKbP5w\nOBJzCw52PP4QH55r5mir1a7R7UW2OZHsDuSkFqzGJnJ8bjJbwmS1/mU6IpjC+nN3IdvIhsUpuCxG\nIs15ROpHoLrSiWbgtsVuMTBhRKvwG5XGqJzkWOeKwchF97r+GgOx17Y/Xt9ogonZbIjND0L0CQSC\nzhFCTyBoQ9uPQ9RqFwyG+zSnosiYTApGo35hHgiLz0ATUVXKqpwcPdvE4bMNlDdXI9kdGGzNZKkN\nZAUcZEcFXUuYZF/3YiakwM4ZSRycaEWTJVS/jUh9PuGGfAhZ4u5nNSsXhd/IdEbnJaG09q0djHRm\nsdVfez2es6/W2qjoM5tFXJ9AIOiIEHqCq56PWu78/hCBQO/FXfTCbjJdtLi0TdK4Uj5ydS0+jpQ1\ncrD8AqebzmLWasmNNJAdcJDlCJLVEibdGUHp4+nUphvYvCCZugzdhatpEmpLFuH6EaiObNC6FnFm\no8KEEamtFr90xuQlY1AGr/CTJKlD0kUoFIllaPdF+JvNBiwWo7D0CQSCGELoCa5aosHtuls2hN8f\n7rUIiwo7kylqsdGFXX+4ei8VvkCYQ2dr2F/2IY4Lx0h215IdcJLtDJDZEsYSGsC6ehIcnGhl13Q7\nIeNFkaYFTYQb84nU56P5kxKay6hIbVy96YwdloLRMHiFX9QVG7X6qqoae+/0NsFHkiQsFgNmsy76\nRCKHQHD1IoSe4KoiesGL1jMLBEJEIj3/CEgSGI26u8xkMsRq1QWD4Ssixg4gEPBz4OB+Ko4fJFxT\nQaqzhSyXn1TPwK1fo7MovIu4bDJb5iZzdoS5w7aIK41I/QgiTXntsna7Q5E0RufamTY+l8KRaRQM\nT8HUxuI12DAY5FbhZ0BRZILBaFZ3uFcZvYoiYTYbsViMKErX2bsrV67EZDJhNuvP/+OPP86yZcv6\ncjoCgeAyI4SeYMgTfYtrGq2Wu1CvxFjbIHiDQYll314JVruQo4W6Mx9SdfIIrnPnMDc2ke7wYxgg\nTaei4TWBMcdKytjhWEePx14wHXPmGLzvvEXNOxvoSrWcHmGmeG4SHltHQaZFFCKNw4g05KO60+ha\nOnZEQiU3VWH6+FymTchjfH4q5kEq/Pr7PWcwyFgsRsxmY6zlXFvRt3LlSn7xi18wceLE/joFgUBw\nmRFCTzBkiVougsEwPl+oV0kVsiy1Brob+8W6MtCowSDBqkoc5adpKjuB/0IFSm0jFn/fEkq6wqGF\nqVODqMkG0sakMHr2JJILpmLNmIDZlo8kt7e+ZWcnc/6DUmpffJ5g5YW48wYMErtm2Dk0QU/W6IyI\nx4baOJJww3AId7QCJoSmkmoOMT4/hYUzCigqyMZiGnxNgzqzIgcCejxpb0SfyWTAajViMhlin5XV\nq1fz05/+VAg9gWAIIYSeYEjR1nrn94fw+4M9ds1KktSuZpmefRvqt4LI/YGmqoQaGghWVuA9X05L\n+WlClRcwNDmRBugTHZQ0qrQQ5W4PdX4v1uE28idnMmPBDHLzp2BJHovZPgpZMXU5T3Z2MvX1LrRw\nmOZ3N9L45t/RgsG442syDGxakExDujHuGC2i4a+xoDWPQ/KOpKdWvnZzaSpm1cmITBOzJuWzbO4k\nUpKsvZ5voNALKhsxmw3tajv29CtdUSQsFhMWixG/30dxcTFvvfUWOTk5fPnLXyYlJWWAzkAgEFwK\nhNATDAnaJlb4fMEeZ81Kkm7hsFiMGAxKq+UuRDB4+cVdxO0mUHmBwIUKAhcqcJ8/S6S6GqmPZV/i\noQFNZonKcICzTien65qpDvjILUhjRlEec+dMYcLE2VhTCjAnjUYx9EwERYVelGB9HXW/fxHv0SNx\n91ElKC208sH0JMKGrkVc0BnEdVIlXD8cq30yRktyj9b3UTRNRfPVk2ENMGl0FsvmFlI4fhzyICrp\nYjLpos9k0kWf369bsHv67e73e8jLy8ZoVCgrK2Pr1q089NBDA7NogUBwSRBCT3BFE337BgJhfL5g\nj2PvjEYFq9WI0WggFArHrCKXAy0cJlhdrQu6VmHnv3AetcUxYMf0mSTqbCaqNI2ypmaOl5/nXIuL\ngKoybnQ6M4uGMWfmeGbNXkhKxgTMyWMwGPsmnD4q9EB/Hd0le6j78x+IOJ1x93XZFTbPTeJcfmJu\nWrneQ/MhB/VnrFjTx5OUMwGTNa1P69c0lYCzGkukgVHZJuZNG8+cmdPJzc0bFJmtUWt09D3t8/Xc\nGm0wyITDflJTkzEajYPivAQCQe8QQk9wxXHRPavh9erJFT15G8uyhMWiZyGqqhbLvr1UnwRN0wg3\nNxG4UEHwwgUCFy4QqLxAsLoK1IHJjgjL0JxioD7JRo1sptwd5Ni5SspPH0dTdWGbkWZlZlEes6eP\nYcH8hQwbOQ1L8lgUU1q/Xug7E3pRIh4PDX/7C46txV3OUVWQzj+ny50ma3SGRVLID8pETlVx/oSf\nancGYfNIXfjZ0nt6Ch3wtVQScpSTafVRNDaD2TPnMHXaDNLS+j53b5EkYtm2siy1hjKE4sbz+Xw+\nIpEISUlJaJrGr371DA0N9Xz/+z/AZrso9oToEwiuLITQE1wxRN+qkYiK19tz92y0mKzBIOP3h/H7\nQ5ekh6waDOI+sB/fqZO6sKu8gOr1DtjxnDaZhjQDDUk26kxp1GgpnKt2UX/yNK7qY4QDbgBMRoWi\nwhxmTxvBgvnzmDRlPpaUAoyW7AG9mHcl9KL4Tp2i9qXnCVZVxh9ksVC9fAob8lpwhN0JHz/fls3c\n9FGMiUicOXaUg8eqKWtMoiWcizGtALM9M+G54q7fUY277hSGYDWjsySmFxUyfcYiphRNw2az93n+\nnqIocuuPGwPhsNppUfDKygt8+9tfQ1X13spjxozli1/8KllZWYD++bHZTCitxaiF4BMIrgyE0BMM\neqJv0XBYxesN9ChuTlFkrFa9nES060VfW5olSrC2BkfxFhw730f1ePp9/oBBojHdQEOqgfokC/Xm\ndOqlXDy+VFzn6nFcOIGr5hg+x0WxNHZkGrOm5jN/3gzmzFtOSsYETLZhSNKlizdLROiB7spu2vA2\nTW+9gRYKxR1nHluA89Zl7KCco43HUbXExLtBNjAzeyqL8uYyxppKxF9LTeUJ9hw4waGzfmo96QRN\nIzDZsxM+t3j4nbW460/hqT9NiqGJSQXDWHbNKq6/4XZMpq6TV/qbaCyq0agQCITw+Xr2g8dkUrDZ\nzBgMQvAJBFcCQugJBi1ty6N4vcEexRlFS0coityty6o/0SIR3AdKcRRvwXvsaL/MqUrQnKLQkGqg\nMd1AfbKZOmMGDjUT1ZOG6knFV9+Es+YYzpoPcdefRovowigtxcKsqcOYN7uIBYuWkT96ZqclTy4l\niQq9KMHaWur+8CLeD7t4PmWZ9FU3YVy1gj3NR9hVVUKdryHhY2Ra0lk4bC6Lhs0j3ZKmu9cDjQQ8\n1Rw9/iG7Dldzpk7BpeYiW7ISnjceflcdLRX78VXtZtW1c7nnvs8wbnxhn+ftCW1DGCIRtccliIxG\nBZvN1K48i0AgGHwIoScYdLRNsPB6gwlbGyRJwmqNxt7pF65LlVgRam7Gsa0Yx/atRFpaej2P2yrT\nmGqgId1AQ6pCQ6qRRkMaIX8GqjsV1ZOK5rcTDnhahd0xXDXHCPn0hA2jQWbKxBzmzprIwoWLmDJt\nCdbkMd2WPLmU9FTogf6ecO35gPo//5GIK/6+hqwscv/1AWxTp3HGcY6dVXsorTtEUI1vEWyLhMSk\njAksHj6faVlTMLYRxJqmEQ42U1t7nh2lpzlc5qLOk0TY0HtXr6ZGaD6/j7oTmykYpnDnnfdy8+p7\nsVovbTkXs1n/YSTL+g8jny/xuFdFkbHZTJjN+nMlBJ9AMLgQQk8waIi+Ff3+EF5vMGELnMEgY7Xq\nloXeuKJ6i6aqeI99iKN4C+6DpT1KpAgpxATdRWFnwEtSTNCp7jQ0bzJoCpoawd1wRhd21cfwtlTE\nOkuMzk9l9owCFi6Yz7wFK0nNmtjjkieXkt4IvSgRt5v6v76Cc/u2Lsclz5tP9n3/giE1DV/Yz77a\nA+ysLqHcWZHwsZKMdublzWLxsPkMT8rrdIymaTQ7Gjh8opy9H17gbD141d7VnXPXn6buxGaCjcdY\ndf0y1tz7aYqmzuzVXL2lbecMvdB44pnsiiJhter1+EAIPoFgsCCEnuCyE30L+nwhfL7EBZ4eK2RC\nlmV8vmBr9u1ArlQn4nbj2LEdx9ZiQnW1Ce0TlqAxzcDpkSZOj7LgSFJQI+ZWQZcauyVy0fLmd9bG\nLHauupOo4QAAqclmZk0bxfx5s1i8eCUjC+ag9LHkyaWkL0IvivfkCepefJ5gTXXcMbLVStbd95C6\n7Bqk1pp3Ve4adlbvYU/NfjyhxBNiRqeMZPGweczJnYnVYOlyrMsb5Pi5ag6fusCH55w0+Uz0pIBz\nwN1A/cliGsp2Mm50Jnd+/C5W3/aJS1q4WJLAYjFitZpQVT35KdHYWFnWBZ/VKgSfQDAYEEJPcNno\nrQUvmv2nafSqOHJv0DQNf9kZWoo34y7ZgxZO7JjNyQqHx1v5sMCCXzGi+pJQHdlEGoajBa20FQDh\noBdXrZ5A4aw5RtDTCIBBkZkyMZf5c6ezePE1TJ15DUZLxhV7Ae0PoQeghkI0R5M1ung9LOPGk/vA\ng5jzR8QeC6lhDjd8yM6qPRxvOoVGgj8uZCOzcqazePh8xqWOSeg18PhDnKpwcPxcHftP1tLgUklE\n+EVCPhrLdlF3cgtS2MHKaxay5t5PMWv2wkv62utuXROSRI+y3WVZwmYTFj6B4HIjhJ7gkhMN3NYF\nXiDhFmVWq25hiJZXuRQtyVS/H+fuXTiKNxOoSMztp0pQNsLMoQlWKnKNqJ40wrWjiDTlgXax7pum\nqniazunCrvoYnqZz0JoxOnJ4KnNnTWbRosUsWHwjKemjhsyFsr+EXpRgTQ21v38B3/Fj8QcpChk3\n3kzGLbchfyTLtcnfzO7qfeyqLqHR35zwcXNsWSwaNo8FeXNJNSduUT14uoGNJec5W9WCP4HQQU1V\ncVQeovbkJjz1Zxg9Moc7br+d2+98iIyMjISP21eiyReKolvQfb7E4h4VRcJmM2OxGEXShkBwGRBC\nT3DJiL7VQqEIHk8godifaIKF1aqXR/F6e979ojcEKi/QUrwZ166dqH5/Qvu4rDJHx1s5Ms6C22wk\n0jiccN1ING9qbIwaCeGs/pCmc3tw1R4nEvIBkGw3MXvGeBYunM+SpTcycuyMS1ry5FLS30IPWpM1\ndu2k7pU/obrj19QzZmeT84l12Iumdtimaionm8+wq7qEA/VHCKsJWq4kmaLMSSweNo+izEkocmJF\nnEPhCB8crWVjyXkqGxJzI3uayqk/sYXmin0ossbyJXO4e806Fi5eeclashkMevKF0ai0hlsklrhh\nMMjY7WaMRv35EYJPILg0CKEnGHDaFjp2uwMJWeIkiVa3j6k1wSKYsOWvt6ihEO59JTi2FuM7dTLh\n/crzTByeYKUs30QkaNetdw35EDHGxkRCfupPFVN7fBORoF5Tr2B0FiuvXcKSZdczbcZyDMbE2npd\n6QyE0IsScbmof/UVnDu2dzkuecFCsu+5H0NqaqfbPSEvJbWl7Koq4YK7KuHjp5iSWZA3h0XD55Fr\nS6z+nqZpHCtvZmNJBYfONCa0T9DXQsOpbdSf3k4k6GF4Xjq33XoLd675NDk5uQmvty9Eky/MZiN+\nfxCvN5hQjKzRqJCUZBaFlwWCS4QQeoIBRdM0VFXD7Q4kVKNLkmgN5NYFXk9i93pLsL4Ox9ZinO9v\nJ+JOTID4TBIfjrNyeLyFliQDanMO4bpRqM5M2sZffVTgFY7LJT8/jzvuuJflK+8coDMa3Ayk0Ivi\nPX6M2pdeIFRbE3eMbLPpyRpLl8eSNTrjvOsCu6pKKKktxRdOzLoLMC51LIuGz2N2znTMCZa3qW70\n8N7eC+w4Uk0w1L3lWg0HaTy3m/qTW/A7a5BliUXzp3H3mrUsv/ZjKEpi1sW+EI3FM5uNrS7dxASf\nyWQgKcmMLEtC7AkEA4gQeoIBQdM0NE3D49GzYbvjosAzxurnDaTA01QVz6GDtBRvxnv0CImm61Zl\nGTg8wcqpURbCqplw3Qgi9SNbEysu0lbgWQxBVq2Ywf3/8jATpiy/6i9ql0LoQWuyxtv/oOmfb3WZ\nrGGdMJGcteswD8/vcr5gJMSB+sPsqirhZMuZhNdhUczMyZ3BomHzGZMyMqHX3+0Lse1gFZv2XaDZ\nFUjoOI6qo9Sd3IyrRo9VzMpI5pbVN7Lm3s+QP2JUwuvtLbrgM2M2K7EM+kQ+VhaLEbvdhCQJwScQ\nDARC6An6lYulUoJ4PMGE9rHZdIEXDEZ6lJzRG8KOFhzbt+HYVky4qSmhfYIGiRNj9OSKhnQjEVc6\nkdqRRJrzQGtvCWor8Eblmbj95gXccddnSM2eLC5irVwqoRclWF1F7Usv4Dt5Iv4gRSHj5o+R8bFb\nOyRrdEa9t5EPqkv4oGYfLQFHwmtJMSWzYsRSbhh9bULvh3BEZe+JOt4tqeBsdYLWZkcVdSe20FS+\nBy0SQpJg7qxJ3HnX/Vy/6uMYjQNbPDuafGEyKXi9uuBLBLtdt+SDcOcKBP2JEHqCfqFtooXb7U9I\nrEV/yesCL/EOGL1Zm+/4Mb00yoFSiCSWrduQqnB4gpXjYy0E5NbkitpRaL6OGZZRgdd4agsLZ2Rw\n+y3LWbT8fizJY8VF6yNcaqEH+nvAufN96l/5c5d9h405ueSuXYdt8pSE5lU1lQ8bT7CruoRDDR8m\n3Gc3z5bLPRNvpzBjfMLrP1PpZGPJefadrE/IUhbyu2g4s536U9sI+50ApKZYWX3Tddx978MUjBvY\nlmvRjhkmk5KwZV9RJJKSLCJhQyDoR4TQE/SZnsbhmUwG7HYzqqonZwyUwIt4PDh3vk/L1i2EauLH\narUlLMPpkWYOTbRSnWVE9SfpyRWNw9slV8SO0SrwwjU7WbV0OLfcvIIxkz+GJWl0f5/OkOFyCL0o\nYZeThldexrlrR5fjkhctJvue+zAkJ16k2BV0s7tmH7uqSqjx1iW0z6T0Cdw27iZGp4xM+DgNLT42\n7b/AtoNV+ALd/2hRI+HWNmub8LVciD0+vaiAO++6hxtvHtiWa4oit8biyXg8iX9HJCebhTtXIOgH\nhNAT9JroW8fr1TPuusNg0L/wJUlKOPu2N/jPltFSvAVXyW60YGJuI4dd5vAEKx8WWPGaFT25onYU\nqiuDzorbRgVetnaIj10zkuXLlpGRfy3mpIGPhbrSuZxCL4r32IfU/v4FQrXxO5vIdjvZa+4lZcmy\nHokNTdM46zzPrqo97Ks7SCDS/XtwZvY0bi24kTx7TsLH8QXCvH+4mvf2VlDfkmAJoLpT1J3YjKPq\nUCwuNcluZtX1y7jnvk8zafLAtVyLZttqmv6jMJEySTabCZtNuHMFgr4ghJ6gx/TUTSvLUqx+ltcb\nwO/v/04WaiCAa88HtBRvIVC6brfGAAAgAElEQVR+LrF9JDg7XC+NUj7MhBoyE6kfSbhuJIQ6b3MV\nCflpPrudoswz3LpiJOML55CatxyzfUSn4wUdGQxCD0ANBWn6x1s0vf2PLt351omF5K5dh2nY8B4f\nwx8OUFp3iO1VH3TbZ1dCYsGwOaweewMZlvSEj6GqGgdON/BuSQUnKloSW5erjvqTxTSe3RVrrQcw\nacII7rjjTm65/QGSkpISXkNPsFiM2GymWD3N7pKuhDtXIOgbQugJekRP3LR6LTy9Ir7Pl5jVr6cE\nqqpwFG/GuWsHqs+X0D4ei8yRcRaOjrfisitEHGmE68agtuR0SK6IEgn5CVTvYum4am5YPIyMnCJS\n8pZhtnedqSnoyGARelECVZXUvfRCl7UTJYOB9JtXk/Gx1ci9SGbQNI2jjcd5o+wdKt3x+/MCGCSF\nZSMWcePolSSbeia2ymtcbCypYM+xWiIJZK1Hgj4aynZQf6qYoOdicpLFbOC6FYtYc+8nmTFzYFqu\n6UlYpliHnO6uRKIci0DQO4TQEyRET920ZrMehxcM9n+pFC0cxr1/Hy3Fm7vOpPwIFblGDk2wUjbC\nTDgsEWkaQaR+dKfJFVEiIT9m935unt7E7Mmp2NImkZq3HJNtWH+cylXJYBN6oJfbce7YTv1fXkH1\ndpGskZunJ2tMmtyr46iayv7ag7x5diMNvq6LI5sVEytHLue6UcuxGjq3MMejxR1g8/5KiksrcSfQ\nqkxTVVouHKDu5GY8DWXtto0dlcMdd+gt19LS+rflWrQGn8lkwOMJJNRHV7hzBYKeIYSeoFs0TSMS\nUXE6/d0mTiiKTHKyGZBwu/392q4s1NiAY2sxjve3EXE6E9rHb5Q4VmDh8HgrzakGgs0SWvNE1KaR\noBri7qeG/WRpR7lzvpMROUasaZNJzV2GyZbXX6dz1TIYhV6UsNNJ/ct/wrV7V5fjUhYvIXvNfSjJ\nife4bUtEjbCzuoS3z76LI9j1c2E32rhx9EqW5y/CqHRMCOqKYCjCrqM1vLv3AlUN8QVsWzyN56g7\nsZnmiv2x3sugx9hds3Q2d9/zIAsWruxXkaXH71oADZer+wQtRZFJSbGgKLIQewJBNwihJ4hLT6x4\nF920hoRLKSS0BlXFc+QwjuLNeA4fSriwcU2GXtj45GgLIUnDW2FAds8EbzadJVfEjhcJMNZ+ijvn\nOUmxqdjSdBetyZp4kLygawaz0IviOXqEut+/SKg+fvasnJRE9pr7SFm8pNdiIxgJsvXCTjaWb8Eb\n7jr0IM2cysfGXs/CvLkJ99ONomkaR881sbGkgiNlCdaP9DZTf7KYhrIdRILte/HmD8vg9ls/xp1r\nPk1Wdv/9+ImWXPL7wwm5c4V1TyDoHiH0BJ3SEyteWzetxxNMqMF5d4SdTpzvb6NlWzHhhoaE9gkp\ncGKMhcMTrNRlGAm0+PGds2MKL0JSu451ktQg03LKuXFaI3ZTBFt6Eam5yzBaE+tXKkicK0HoAajB\nIE1vvUHThre7TtaYNJncT6zDlNd7weMN+dh0fiubK7YTVLv+kZRjy+LWgpuYmT0VWYrfui0elQ0e\nNu2tYOeRGoIJWNwj4QBNZ3dTd3IzAVd74asoEksWTOeuuz/B0mv6p+WaJEnY7Ym7c4V1TyDoGiH0\nBO3oiRUvWh9LL5fSdzetpmn4Tp3EUbwF176ShAsbN6bohY2PjbUQNMk4TjUTqMzGbl6GrJi73Fcm\nyLyRVSwfX9Mq8KaRmrcUoyWrT+ciiM+VIvSiBCorqX3xd/jPnI47RjIYyFh9K+k3fQzZ2DP3alsc\nARcbyjfxfuVuIlrX7/+RyfncVnATkzMm9krguH0hiksr2bT/Ag53gmWIKg/rbdZqO8bG5mSlcOvq\nVdx1z2cYnt/3MkNRd260HEt3PziFdU8g6Bwh9AQxemLFi7Yt6w83bcTrxfnBThzFWwhWVSa2jwyn\nR5g5PMFKZY6RsD9Mw/5aIg1jSctZjtxNLJNBCrFwTDWLxlRhN0WwZ8wgJW8pRnP/BpsLOnKlCT3Q\nQwgc27fR8OrLXWZ3m/KGkfPAg9gm9q3rRIOviX+efZc9NfvR6PorekJaAbeNu5mC1N4V6Q5HVEqO\n1bGxpILy2gTbrLVUUndiM03lJWhqe4ubLEnMm1PIXXfdz7XXfRxTAi3luiLqzvX5Qgn9+BTWPYGg\nPULoCXpkxTMYZJKTLaiqhsvl71M2rf98uV4aZfcHaIHEGrc7bTJHJlg5WmDFa5VxVzqo312DEphG\n5phl3Qo8oxxmwehqFo2pxG5SsWfOIDV3KQZz4nXLBH3jShR6UcKOFj1ZY8/uLselLF1O9t33oPSx\nFl2Vu4a3yjZwsOFot2OnZU3htoKbGJ7UOxeypmmcuuBgY0kFpSfru5GXOiG/i4bT2/Q2a4GOr2l6\nmo2P3biCNfd/ljFjJvZqXaBn5yYnW5BlCZere++BsO4JBBcRQu8qpydWPLvdhMVixO1OrAxCp8cL\nh3Hu/gDH1s34y8q63wHQgHOthY3PDTMRUTUaDlTSUNKAPWkBWeO7F3gmJcz8Ua0Cz6ySlDGLlNwl\nGMxpvToPQe+5koVeFM/hQ9T+4cUu40eV5GSy77mf5IWL+iw2zjrKeePMO5xsOdPlOAmJubmzuKXg\nBrKsmb0+Xl2Lj/f2VrD9UDWBYCJt1kI0l++l7uRmfC2dW+VnTivgrjvXcNMtn8DYS/e22azX0vP7\nQ3g8wronECSCEHpXKT2x4umtiyyEwxHc7kCvky2CNTVUPbueYOWF7gcDXrPE0XFWjoy34kxS8Dd5\nqdl5jqaDLWSOWkHW+KU9FHgaSZmtAs+U2qtzEPSdoSD0QO/G0vjm6zRvfAfU+D+SLBMmkv/oF1Fs\ntj4dT9M0jjef4o0zb3Pe1XWIgyIpLBm+gJvGXEequXclYAC8/jDvH6rivX0XaHAk1mbNWXuc+hNb\ncFQdgU7sgiOGZ/Dssy8wcvSEXq1JkiSSk80oioLb7e+2laLdrhdmju4rEFxtCKF3FaJpGpoGTqev\n2y/JpCQzJpMhoU4YXeHaW0Lt88+h+ru/WFzIMXJ4vJUzI81EFInmY7VU7ziH+6yf3EmreifwsuaQ\nkrMYgynxJvWCgWGoCL0ogYoKal/6XZcWaiU9gxFfehzz8J63UfsomqZxoP4Ib5ZtoNYbv/wLgEk2\ncu3Ipdww6lpsRmuvj6mqGqWn6tlYUsGpC46E9vE7a6k7uYWmc7vbtVkDsFmM/M8PnuSalR/v9Zqi\nnTKCwTBud9ehH0ajQkqKFUkSYk9w9SGE3lWGpmmEQhGcTn+Xljk9Fs/aasXzJ1q+ruPxwmHqX32F\nlvc2djkuYJQ4NlYvbNyUZiDkDVK3+zw1u8qJuA3kTu65wEsyowu83MUoxt5bNQT9y1ATetCarLG1\nmIa//SVusoZssZD3qYdJmjWnX44ZUSPsrtnPP8++S3Og6x63VoOVVaOu5dqRSzApfUuOOFvt5N2S\nCkqO1yXUZi0c9NJ4Zgd1JzYT8l8UiZIEn37wbj73+e/1uiyLJEFSkgWDQcHl8nUZuxeN8zMaFSH2\nBFcVQuhdJfTEVRvNqHW5+mbFCzU1Uf3LZ7osS9GUrLB/so2To82EjDLuihaq3z9Lw4FKFCW5dwLP\nIpGUNZeUnEUoxoFpzC7oPUNR6EUJtzRT9+c/4t5bEndMxq23k3nr7Uhyz2vgdUYoEmJ71QdsOLcZ\nd6jr7heppmRuGnM9S4bP73HR5Y/S7Aqwef8Fiksr8fi7/56IhAOc2/lbHFWH2z2+eP5k/ueHvyY1\nrfcljaKxe4lk5opEDcHVhhB6VwG6q1bD6ew6nkWWJVJSrGha3zNqPUePUPPrXxJxd35B95kkds6w\nc2S8FTWiUr+/kpod53BXtGC0pPZa4CVnzSM5ZxGK0d7rtQsGlqEs9KK49u2l5rlfoQU7Fx32GTPJ\n+9Rn+hy31xZ/2M/miu1sOr8Nf6RrV2aWJYPVBauYmzuzV0WX2xIIRdh5pIZ3SyqoafJ2OVbTVCoP\n/p264++1ezx/WBo/+tHPmFy0oNfriFrsJEnC6fR1+f2lu3L1sULsCYY6QugNcRJ11UZrVXm9QXwJ\nNEGPezxVpekfb9L4xt/jtis7PdLMuwuS8UkadbvLOf/OCcLeUB8Enkxy9nyScxaiGPrvwikYGK4G\noQcQqKqi6umnCNXWdLrdmJdH/iOPYRrW97i9triDHjaUb2Zb5S7CateWtuH2PG4bdxNTMyf3WfCo\nmsaRsibeLTnP0XPNXY5tLNvF+b1/aleDz2I28M3/eJTb7vxsn9ZhtRqx2Uzd1viUJImUFOHKFQx9\nhNAbokRfVo8n0KVwi2awybKMy9V9iZWuiLhcVP/ml3iPHul0uyrB+zOTKJ1kxVPt4vjzJfgbPL0X\neFaF5OwFJGcvQDH0PtBc0DWSpFtLZFkvU6Hfl2KB7fpfx/tt94f2j0cTgkBr93sg+njUCv3R+6qq\noar6/6qqtt6/lM9Gz4h4vdT85pd4Dh3sdLset/cZkmbN7vdjN/tb+OfZ9/igZi+q1vXnuiB1NLcV\n3MyE9IJ+OfaFejfv7a1gx+GauHF8rrpTnN3xa8IBd7vH19xxDV/75s8wmiy9Pr6iROt9qrhcXVcK\nsFqN2O16Bx0h+ARDESH0hiD6RVDD6ew6ONloVEhOthAIdF+Tqjt8ZWeo/sXThJs6b5jutsq8vSSF\nqhwTdSUVnHn1EGpIJWfSdQyfeiuyoScCz0BKq8CTDb2/GAh0EaYoMrIsoyhSu9uooIsKLE1TPyK0\n4guytl8rUUEXvZ+dnUxDQ9SiJ9H22hpPNOoCk48ITTkmOKPrUlWVSOSjt+plFYOaqtL45us0vfl6\n3DH9HbfXllpPHW+d3cj+ukPdjp2SUcht425iZHJ+vxzb6Qny1F8PUlbVuQU34G7gzPZn8Tuq2z0+\nbcoIfvTjX5I7bFyfjm+3mzCbjbhcXYetGAwyKSnW1veTEHuCoYUQekOMi65aX5cXt2jCRXdxe4kc\nr2XLJupf/lPc3rQVuUbeXpKK1whlrx2hZuc5FJOdMQvXkTp8apfztxV4yVYjyTkLSc6eh6wIgdcT\nFEVGUWQMBjl2X1F0UfFRURS9HxVP/c1AuG6j4i8qVD8qXoHWc9P/wuGL9y8V7tJ91Dz367glhgYi\nbq8t510XeOPMOxxrOtnt2Dk5M7ilYBU5tuw+Hzeiqryy+Qzv7q3ofHvIx9mdv8VZ3b77R2a6jf/3\n399j3uJb+3R8k0n/Qev1hvD54v+glSRISbEKV65gyCGE3hBC0zR8vhAeT/xA7GhciiSB09m3hAvV\n76f2xd912Q5qd5GN3dPsBFwBjv1uD+7zLdizxjF28Scx2eK3HWsn8GwmUnIWkZQ1F1kx93q9VwOy\nLGEwKBgMcuxWlqW4IudyfPovR4xe1HLZmdiNRLTW5yVCOKzfDoTAhcsXt9eWU81neP3MO5x1lnc5\nTpZkFg2by81jrifd0vcOMsUHKvnDxpOdunI1VaXywN+oO7m53eMGRebRz93L2k99G7kPWcJ6opkF\nVQWXq+t4ZbvdjNVqFGJPMGQQQm8IEH0JXS5/l63JDAY906w/XLWBqkqqn1lPsKa60+1+k8SGRSmc\nyzfTcrKeEy/tI+wJkTv5BoZPuxUpzpe2QQ6zcHRU4JnbCLy+1f4aisiyhNHYXtQBhEIXRcultlol\nwmBLxmgrAA0GBaNRfx6joi8cVgmF+k/8JRS39+nPkjRzVr8crzM0TeNww4e8WbaBKk/nojOKQTZw\nzYjFrBq9gqQ+ZrMfK2/mmdcOxy3H0nDmfSr2vYymtvcOrFoxne88+Sz25N63dYOLrlyn0084HN+T\nYTYbSE7WvQZC8AmudITQ6yFr165lz549AHzjG9/gwQcf7NU85eXlPPfccxw4cIBTp04xd+5cXnrp\npR7P4/f7CYVCfOc73+Ptt//B9OkzWb/+V+3GPPfcL1EUjYceeog///ll7r33gV6tOYpz9y5qX/hd\n3NIRtRkG/rEsFZddoeLdk5x/5zgGUxKjF6wjdXhR3Hmn5NazesoZkqxGUvOWkZQ1B1nuXU/MoYjB\nILcKO6XVvQShUKSdIBkoS1R/MtiEXmfoltGLAtpoVNC06PMdiT3vvUVTVRrf+DtNb70Rd8xAxu1F\nUTWVvbUHeKtsI43+zuNro1gUC9ePWs6KkcuwGHpvWa9t8vKzVw/FLcXiqjtJ2fu/JhJsXxNw3Jgs\nfvR/P2XshHm9Pja0deV2XWHAYJBJTbUOihIs8a47/XEdSXSOn//856xfvx6AG2+8kaeeeqpvJyW4\nZBgu9wKuRBYsWMCXv/xl8vN7H7B86tQptm7dyowZMwiFelfORHfV+vnUpz5FdnYuI0eO6jBGkuCR\nR/4NVY3wpS99EaPRzL339m7NaihE/St/wrFlc9wxBydY2T47iXBY49hvdtP8YS1J2eMZs+iTmGyd\nu3+sxhAfn3aSiTkOkjLnkpZ/nRB46Bcak8kQE3eqqluWgsEwHk/gihB1VyqqqhEMRggGL1p9ohZU\no1HBYjEiy3JM9AWD4R4JP0mWybrjTiyjR1P9m1+jBTrG7TW9+TqBivPkffLhAYvbkyWZ+XmzmZ0z\nnZ1Ve3j73Cacwc5FuD/i562zGym+sIObxlzH0vyFGOWeX0JyM2x8+4E5PPv6UY6e7Sguk3MmUnjD\nVynb/gv8zovWxjPnGnjgwU/xnW89xnU3f6rX4isYjNDc7G2NxzPgcnUezxwOqzQ3e0lNtaIo8mUX\ne51dd/rjOpLoHGvWrGHZsmV873vf69VxBJcPYdHrIWvXriU9Pb3Pv2ZUVY0FiT/22GM0Nzf36JeY\npmkEAmEcDm9snm9/+2u0tLTELHqKomeSRYXB5z//GdLS0vj+93/Y4/WGGhuoevZpAufOdr5dgU0L\nUjgxxkKg1svhX+8k0OQjb8qNDJt6S1yrxMg0J3dPP05mWhJZY9dgsub2eG1DBUXRLUcmk4LRaCAS\n0YVdKBQmFIoM6jIiPeFKsOglgiTRKvx0Ma4oMqFQmGBQF3+JuswHQ9xebC2RIFsrdrDxfDG+cOet\n3KKkm9NYXbCKBXmze1V0OaKq/Pm902zaf6Hz7UEfZTt/g6vmWLvHJQkevP96HvnS/2HoQ/9e0Ht5\nG40GnE5fl69XcrIFs9lw2cRevOtOX68jvZmjv66BgkvHwPkEesmbb75JYWEhhYWFHD9+HIAdO3bE\nHisv1wOI33333dhjBw4cuJxL7hVyL90x0RIWHk8Ql8sfdx6TSSEtzYrXG+gyOSMR3IcOUv6978QV\neU0pCn++KYMTYyw07Kti/082E/HIjL/mEYZPvy2uyFsytoIH5x0mL28MeYWfvipFnt6Y3UJGhp3U\nVCsGg0wgEKapyUNLixePJ0AwOHRE3lBC03TrkMcToKXFS1OTh0AgHHP5ZWTYSUqyYDJ1bfUyDx/O\nqG89gX36jE63h2pqOP/fT+I+UNrlPL/97a9YunQuZWXxWw52h1kxsWrMCp5c9B+sGr0CYxeW9eZA\nC78/9gr/vfsnHKg73GWCQ2cossy/rprIJ1ZNRO5EQCkmK+OveYTsCde2e1zT4Hd/fI/Pf+5OmurL\nenTMj+J2B/D5AthsCt/+9uMsXTqXU6f0rOSSkg9YunQuS5fO5dixU3g8QTRNY/369UyaNGlQXHd6\nex3p7zkEg5tB57qdN+9i/EVpaSmTJk2itLS03WOjR49m//79AFitVoqK4sd9dYamaUTilAJpi8Ew\nuJ6e6Bep0+lr51L6KDabCYvFiMPRdR29bo+nqjS+/hpN/3gz7pgTo81smp9M2CBz+pUD1H5wnqTs\nCYxZ/BAmazeu2uxmUoetICV36WV3i1wqZFnCZDLEXLLhsO72czgCRCJCzV3JRK3sekJUAEXRX2ur\n1UhysiXm4g0Gwx3c7orNxvDPfyFu3J7q91O1/mdx4/ZOnDjO0aNHyM3N65dzsRlt3D7uZq4dsYR3\nzm3i/ardcYsu13jr+PWRlxidPJJ7C+9gdMrIHh1r5ewR5GbYePa1I3g/kkwmSTIj59yDJSWPiv2v\nQJs1fLDvLJ/4xH387w+eYNqcW3p+kq34/WHq6x08+eST/OEPf+Do0UNMmDCRI0cu9uQ9cuQQI0aM\n5M03/85DDz3EpEmTrprrjuDKZ9BJ+by8vFgMQvQXU2lpaUwItH0MYMaMGRiNPYvneu211ygqKur2\nbzARLYLc3OyNK/LMZjNf+tIXMJkMtLR4+yTywk4nF37yf3FFXkSGLXOSeGdxCuGwxIGfbqV2dwV5\nRTczYcUX4oq8UWkOPre4lEl5frLH/SupecuGvMhTFAmbzURamo30dDtGo0IgEKKpyY3D4cPnCwmR\nNwSJRPRyRw6Hj6YmN4FACKNRIT3dTlqaDZvNhKK06SDSGrc3/JFHkcyd14lsevN1qp75ORHvxUSG\nYDDIT37yv3zlK//R75+lVHMK9xZ+nCcWfJV5ubOQiD9/uauCH+97hgN1h+OOiUfRmAy+9cAcctM7\nd8VmT1jO+Gs/j2JqH6tYVevk0//2H/z1j99v106tpyQnp/LII5/nuuuuY+5cPdv58OFDseczKvr+\n+tdXueeee5g+fXqPBdmVeN0RDA0G5U+HuXPnUllZyYEDB9A0jUOHDjF9+nQqKyspLS0lGAxy9Khe\nXLOtBTDKd7/7Xf70pz9x4sSJTudfsWIFr776ar+u2eVyUVdX1+24ceN6Xuld/yWo4nDEb9QtyxJf\n+9rjnD59mpaWrhuLd4fv1Cmqfvk0kZaWTre7bDL/WJpKbZaRYIWH0l9ug4iF8dd8npS8yXHnXTq2\nghXjy7Hah5E1dg0Gc99rcw1WZFnCbDZgNhuRZSkWJ9mX4tSCKxdNo421T4/tM5sNpKXZiEQ0AoEQ\ngYBu6UuaNYdR3xoWN27Pc6CU8z94Mha395vf/IJVq25m+PD+6WbRGdm2TB4sup8bRl/Lm2XvcLjh\nWKfjIlqEXx95iX8pvIsl+Qt6dIxhmXa+9cBcnv37EY6Vd+yVm5I7icLrv8qZ7c8ScF38rg0EI/zX\nD3/PkaPH+I9v/gyLPatnJ9fK8OEj+MQnPsGPfvRjpk6dRktLE5MnF1FTU82RI4cIhUKcOHGcYDDI\nX/7yNz772YdRFJn77rsPl8sVMzj8+Mc/Zvz48R3mH4jrjkCQCINS6M2bN4/XX3+dc+fOsXfvXpxO\nJ7NmzSIrK4vi4mJKSkoItpb2mDt3brt99+7di8/XdRBxWloaycnJ/brmd955h29/+9vdjosnPuOh\naRrhsIrD4Y0bp2U06vXx3n33n7z22msdyqv05Fgt726g/tVXQO3cGnhumIkNi1Pwm2Xqt53n5OsH\nSMqeyNhFD2G0pna6j80Y4uPTTjAhuwV7xkwyRn4MqRfZeoMdSdLFncViRFEkAgEh7gSdoyfZRHC7\nAzHRl55uIxJR8fvDSPn5jPrWE3Hr7UXj9gI33Mjx4x/yb//26CVZd37SMD43/SHKHOd4/czbnG7p\nPG73jyf+iivk5sbRK3tkZUyyGvnSPTP443unKC6t7LDdkpLLpBu+RtmOX+Oqbf9d+to/9nHqzN38\n7//8kPyx83t2YsDMmbPZsOGfPPbYo7z++j/47W+f44033mLXrl3s3Pk+Bw7si113xo8vpKXFS2qq\njZ///OeoqkpeXtdu84G47ggEiTAor7Zz5syJ3X/++ecBmDlzJpmZmWzatIkXXngBAKPRyMyZM2Nj\ng8EgP/rRj3jmmWf4+9//Hnf+1157jW984xvdrqMnomzNmjWsWbMm4fGJoGkawWAYp7PzlkmgF/ZM\nSjLjdPrZsmVLr48V8Xqpff453Pv3db4W4INpdvZMtWHEyInndtHwYQ15U25mWNHquAkXo9Md3DX9\nBCnWCBkjbsGeOWvIuWpNJl3cGY0KwWAYrzfQZQylQNCWtqLPZFIwm43Y7WZCyRYsX/4K1a++Gjdu\nz/jm60z0uLhnzW1oQH19HV/+8qN885vfYf78hQO25oLUMXxx1uf4sOkkr5x4jYZOavC9WbYBZ9DN\n3RNu7VFWrkGRWbtqIvlZdv743skOP3AVk43x1z5Kxb6XaTi9vd22I8drWPvQZ/mvJz7P4hUPIfXg\nuDNmXLyW/OhH/4emhXn66WfIyxvG9u1beeWVP+nrMxgoKpqKpkFLi5djx46xdOnSbucfiOuOQJAI\ng1LoFRQUkJmZSWNjI5s36zXbZs+eTVaWbpLftm0bAFOnTsViuRjL8vTTT3P33XeTkZHR5fxXggld\n0zT8/hBud/yMWatV71fb0tJ1aYDuCFScp+rZpwnV1Xa63WuW2LA4lfPDTJi9Cjt+/DYRn5Hx1z5K\nSu6keGfA8oIKrhl3HpM5hayxazDbB861dKlRFBmLxYjFYiAcVvH7QzidXVuSBYLuaFu7z2w2YLOb\nKfzUWmomjqf8mWc67ZO7yp7Mx2fOIu9Tn+Hetffwwx/+lIKCjq7D/kaSJIoyC/nmgi/zVOmvOOc8\n32HM1gs7cAfdPDDlXgw9sOJLksR1c0aQm27l2deP4AtEPrJdZtTc+7GkDONC6avtkjSaWnx84as/\n5nMPHebBz3wfgykpoWOOGjWG9PQMmpub2LFjG6qqUllZx3XXXcvDDz/Mb37zGwAmTZqCuU0M5Xe/\n+z2+9rWvsXLlCt5++21Wr17dadz4lXDdEQxNBqXQA90lu2HDBlRVZdiwYeTm5pKSkoLBYCAcDsfG\nRDl+/DgHDx7ki1/8Yrdzp6enk54ev8/qpcDn87F161YAamtrcbvdvPPOO+Tn5zN16lS83iBeb5D9\n+/fy2GOf46mnfsHs2RfPV6//pFBb28z77+vCt76+Ho/Hw5Yt7wGwaNHSdkK4Mxw7tlP3+xfR4hTK\nrMoy8PbSVNw2BcoCbPnFuyRlTmDM8gfju2pNQe6cdpLxWS2Yk8aQNeYulD62ThoMSBKYzcbWYrkS\nfn+I5mavKFwsGBCiMdaw5PIAACAASURBVH2yLJE6dy5T//cHnPh//0egumPbQc+BUs7/9/fIvgyl\nMsyKiS/P/jdeOvYXSmr3d9i+r+4g3rCPT09d2+OOGlMLMvnW2rn87NWD1Ld0FLk5E6/FkpLD2R3P\nEQld/KEVjqis/807HDtRxhPf/QmpmYkJ3xkzZlJcvBlVVcnJySUlJY2mJg+33HILI0aM4Mknn2TG\njPat6dav/xU5Obn4fCFuvfVWtm/fzrXXXtth7oG47sS7jgBcc801WK1Wdu/ezQMPPMCLL77IggUd\n4yYTmUNwZTNohd6cOXPYsGEDALNm6R8sq9VKYWFhp4kY+/fv5/Tp01x33XWxx1auXMmrr77arYXv\nctDY2MgXvvCFdo8dPXqUG264gcrKWsxmXRgFWivmp6fr5yBJkJKif/BaWrw0NDTwn//59XbzRP//\ny1/eYFicIqtqMEjdn36Pc/u2uGssLbTy/swkZIOB5o3lfPhOKcOKPkZe0c1xXSIxV60lSErOYlKH\nr+yR+2QwoigyVqsRs9lIKCTi7gSXFlXV8HqDYM9g7H9+h+rf/BLH/o419UI1NXwlZxg5zktfjFqR\nFR6Ycg/JJjubK7Z32H6s6SRPlf6Kf5/xSZJMPfvRNzzLzn+um8fTfzvMiYqOCWIpeVOYfON/cKr4\naQLu+nbbNm0/ydmH1vKD//omhdNv6TZsZPr0WRQX616kadOmA2A0mvjOd77H5z//7/ziF7/A5Wov\nOHNy9PqfoZDG4cPHWL58eY/Ory90dh2J/r9p0yZGjBiBv9UKnJnZeZ/gROYQXNkM2c4YhYWFAxLr\nsHbtWtLS0vjpT3+Koij9Fm92sUaen2DwYpmA5577JQcO7OfnP/+l/ss+1RqL50kUVVVRVZUvfvHf\nSUtL44nHHqf62fUEKjq6WgCCBol3FyZzepSFJMnG/me20VzhZuyih0jOLYx3BjFXrcFgInP07djS\n4mfgXgmYTApWqwmDQcbnC+H3h4T1rh8YKp0xLheaqtL05us0vvl63DGZt91Bxi3xi5UPFJqm8d75\nrfz9zD873Z5ry+aRGZ8m09pzy1Y4ovL7jSfYdrCjRRNAC/s4te2XuOtOdtiWbDfxja/cx023fwVZ\n6X2f3qQkMwaDgtOpV0Dw+XyoagS7PYlwOMwPf/jfLFmyhLvuugOg364PfbnuPPXUU5SUlPSql3pb\noteRBx98kIyMDNEZ4wriyja1XCY2btxIUVFRLCmkr0RFnsPhayfyAA4fPsi99/4riiKTlmbD7w/3\nSOQB/O53v+baaxdy4MB+RvoDnP+v78QVeQ2pCn+6KZ3Toyyk+5PZ8p+v4XemMPmmb8YVeXZTkLVz\nj7BywnnMtizyCj99xYo8SQKr1UhGhh2bzYzfH6Kx0YPXGxQiTzAokGSZzNs/zrB/j19vr/GNv+v1\n9rqpQNDva5Mkbhh9Lf86aU2nNfdqvfX8ZP8zVLk7b/fWFQZFZt1Nk7hv5Xg60zmSwcrEFY+RWbCk\nwzaXJ8i3/utF/r///Sx+T+dCMRHc7gCBQJi0NBuKItPU1Mgjj3yGdevu48EH/wVZllmwYCkOh/68\n96cdpbfXndLSUh566KE+H//pp5+mqKiIkpKSPs8luLQMWYveQFFWVobH4wFg+PDhcc3hiaK3NNPd\nsPESKqItlaJfMj2loaGehrpapO3bkEr2xB334VgLW+YlEzHI2M7JbFz/uu6qnXJTXPfrmIwW7pp+\ngmRzCFvaFDJG3YasmHq8xsuN/P+z997RcZxnmu9TOXRGZgATSIAEmLOoZCUrUVm2ZFlyDus5E+6u\n74S9M+Ox13N3rZHHHnvGsmyPbWVbsmyNsqhIUaRIkZTEBGaCRM5A5+6qrrB/FBpE46sGuoEGCID1\nO0dH4vd1dxUhdNVTb3hemoIkcRBFHqqqIZFQx2U47ZAdJ6JXOJS21gG/PftGKr5iFmb/+V+Cr5g1\nyWcGHOqux2/qn0LKxshYZiV8a9WXsci3YGyffaYHj7xQj2SW7vaeU++i6ePnYOdJtWnNXPyv7/0z\nyueNvSs57XYw0vSh9MM5RY0/slfo+85Y6OzsHPSK9fv9qKzMbwKKw4XDEXoXkPTc2pG6ZtMeeZFI\ncsyWHVowiPZfPIzEKTKlAQAaDWxf70F9lQiZldG3rRmH3qnHgi1fhqesOtvZ48oqK1VLUxT8s6+F\np2zztLNOYRgKksRDEDgkkykkEk7kbqJxhF5h0eMxdPznL2399gCAliRUfPUbcK9eY7s/kZwOnsUj\nh36LhEY2UnA0h68tvx/LS8YW/W/tjuInzx1CT8jefirZcwLH3/sFjBS5P7vcg+//wzex9tIvjdnT\nk+dZeDyWtVW2ml1L7EmgKGraXRsdZg7Md7/73e9e6JO4GDkv8uJZx1/xvCXyRrqQjEb8+DG0/Ogh\nqO1ttvshF40Xrvbj3BwB5XwpDv7HTrSd07D4U38ByWffyOHiVXxuzTGsndsFhnOhdNG9cBWtmFYX\nMpal4XYLll9ZSh8Q0lpWU2qHwuFyCVZzgUNBoDkeng2bANNE4iRZl2xqGiJ7PwTN0BAXL5nU72mR\nGEBd8VIc6q6Homf+PzdMAx93HUKxGMBcj/21ZiS8Lh6b6spxpjWEvjBZzsLKJaio2oDe5oMZHbmA\nlcrd9vaH8LLnsLR2I2g2/85SXTegaQa8XhG6bthex9NeqKJo2a1Mp2ukw8zBEXoXgLTIG8maQxBY\neDziiKmBEY9hGOh/7RV0/OY/YSr2NX0Nc3i8cJUfYTeLheYcvPgPv4NYshnzNnwODGdf+7OwKIgH\n1h9BhScOXp6DssUPgJfL8z6/C4Ul8ERIEg9F0cYloh3GhiP0Cg9FUZCXLgM/txKxQ4cAnUyXxo8f\ng9HeCveqVQAzeYYLXt6DVaUrcLT3OGJa5nhGEyYO9tRDYPgxpXEFjsHm2gr0R5Jo7oqSL2AlzKq5\nHOHO01DjmabOum5i54en0Nm8B+vXroAgl+Z9fMMwkUrp8HolGIZpm5kxTThiz+GC4gi9SSYXkSeK\nljN+KDQ2I2Q9FkP7Lx5GaLv9pAyDAnatdmH7eg9oXsDstgCe+8GzmLf5ayheuMn2QkTBxFWLm3BL\n3WmIrAF3yXrLH28MT8IXAoah4fEIkCQeyWQKkUjSqcG7QDhCb+IQZs2Ge80axI/Wwxio6RpKsq0N\nsQOfoHTDGkByFbRZYCRkTsK68lU42X8aIZVM2x/vOwVVV7E0kH/EkaEprFlSAoFncOwcOSPXBIPS\nqs0wUxFEe8kmtBNnurH3w3expjYAf2l13sc3DBOqqsPjEWGasL2upGcdO2LP4ULgCL1JJC3yAGvs\nkZ3Qk2UeosgjFBqbEW/y3Dm0/OhfoJy1n0EZE2m8dKUPJxZKKJGKkXqnHzteOTqQqrUv2HYPpGpX\nz+kCTbMomncLfBWXTwt/PIaxUrSybEXwHIF34XGE3sTCerzwXrIFakuL7bQbLRJBz3s7UFS9CJ55\nldB1Y1IEn8DwWF++Go3hZvTajExrCDWiLxnE8uKleY1MAyzhtGSuH/PLPThwpodIo5qg4Jm1Av6i\nIvQ0HSbe390bw5vv7ML80n7MW7g274Yy0zShKBo8HhEURdlmCVjWmmk89JwdHCYDR+hNEkMjeVao\nX4SmGRliTpZ5CAKLYDCR94XXNE2EdmxH+yM/gxG1SWEAaCnj8PzVfvT5OdS4q3DgZzvR2l+KeRvu\nA5PFsX5RcT8eWF+Pck8cDO9H2eL7IfkmfrzSeKFpCm63CJeLh6LojsCbQjhCb+KhOR6ejZsA00Di\nJNmEZWoaet/fBcMEKtavBMux0DR9wmtUWZrF2vJV6Ix3oyNGitCWaBuaI21YVVoHhmby/vyKYhmr\nqkpw+EwPMTYNADhPJeYtWY3203thGpn7iaSGt987DFqpR13dKrCCP69jmyaQTGpwuwXQdKbYSzfV\nhcNJxOOqE9lzmFQcoTcJDG28MAwThmEOFvGmxd54RJ6hKOh87Dfof+VlwLAXM/uXyXjjEi80nsEG\naRWe+96zEBdsRdGCjbavp2Di6sWN2Fp3BgJrQPQuRlnV58EJF3Z03GhQFOBy8fB4JKiqFcFzavCm\nFo7Qmxysur1a8HPmInbYvm4vduwogqca4F21Cr4iL2ga0LSJ/b4wFI3VpcsRS8XQGGkh9rsSPTgV\nbMDq0jpwDDkzdjR8Lh6baiusJo0IWZ9ssF4sWnkVuhr2Q1MzmzQM08S+A01oOPkB1q6shOydl7cY\nU5RMsTdU5KVSulOz5zDpOEJvgsnWXTtU7LEsA55nxiTy1I52tPz4h0gcrbfdVzgKr13mw6EaGW7e\njRWRRXj8x69izqavQPRW2L7HzSu4b+1RrJrTbY1cq7gCRZVbQY/hojuZiCIHn0+CrpvjsqNxmFgc\noTe5CLNHrttTO9oR3LsP9KJqSEX+EWvNCgVFUagrXgpQFE4FG4j9fiWI+t7jWFlaC5EdeV63HSLP\nYHNdOXpDClq6yQxHymBRWXc11FAjYqEuYv9scz927dqJ2kUGSmctz9uCJS32OI6BLPNE05cj9hwm\nE0foTSDnzZATtq33hmEO1m1Eo8m8Gy8i+/ei9Sf/Br2frHcBgK4Ai+ev9qOjlMcC7zzwH2p4/Z02\nVK67BzRrX4NSNZCqLfMkQDEiShfeDU/Juil9IeJ5Fl6vBIahEA4noSiOTcpUxhF6k89odXt6NIrw\n7l1AaQUQKIUs85BlIWsnaSGgKArVgSp4eTfqe0lbmEgqigPdR1BXVJP3fFwAYGgaa6tLwLE0jjWS\nTRqaAQTmb0Sxh0VXM3n8/lASb777EcpcTVi4eBUYzp3X8Q3DgMslQFV1JBIpYt8Se7oj9hwmHEfo\nTRDpyNxIEy9kmQfPM4hGk/B4yJq9rJ+taeh+9nfoefYZ23QMAByuEvHqZT4kJAaXlG3Aod98gobo\nQhTN32D7egomrl7SiK21VqqWE8tRtuQBCK6pO9CaYWh4veKAUFYQj6uT1kXoMHYcoXdhyKVuL7J3\nD0wAVOVC6IYJt1uAILDQtIlr2JjvrUSFqxyHu+thIPMYCS2Jj7oOojpQBb/gy/uzKYpCdaUfc0vd\nOHimB/qw66tpAoxvMZYurcW5o7uJ96spHds/OIlE3wEsr62C4MptwshQo3tR5IiavfPHt3z2JMkR\new4ThyP0JpCRPPCG1uQNNd4cTeyl+nrR+pMfI/rRftt9jQHe2uTBvhVucCyPG0uvwu8e2gbM+XTW\nVK2LS+K+dcewaraVqpUDK1BadQ/YPJ9gJxOXi4fbLQxYpSjONItphCP0Lhy51O0lThyH0tIMsXYF\nFM1qbPJ4xKxipRDMcpVjkW8BDnQfhm5mHkM1UtjXeQDzvXNRKo1t9NfsEhdWLCrGoTO9tmPTFDqA\nNZuvQ9PRHdA1Mvp26FgH6g/vwapqGd7imhEdB4bX5A2v2RuOaVpefKLIOULPYUJwhN4EYJrmiEa8\ndo0Xdg0aw4nVH0Hrj/8VqU77geBBN4Pnrw6gabaAMrkElxnr8Mtf7oG/+sasqdpFRX344sZ6lLkT\nAGgE5l4P/+xrQI+h420y4HkWPp8E0wRCIafRYjriCL0LjzB7Ntyrs9ftpTraEdn7Idzr1sPgBCST\nGgSBg9stQNcnJp1bIhVhWVE1DnYfgWpkii3d1PFR50GUySWY7bZ/YB0Nv1vA5tpynGoJod+mSSOq\nMqjbeBOS3ccQCZHlMK0dEWx/fx+qZvVj1tzlttM0hou8NKOJvfT1XxBYR+w5FBxH6BUY0zQRjSpQ\nFPuUqihyEEXetvEim9gzDQN9L7+Izsd+C1O1n3JxulLAC5/yIeJmsLp0OeTDMl54PwLf3NVZTtTA\nNdXnsLWuAQJrgGHdKKu6D3KgdkpeaBiGgtcrDaZp7WpeHKYHjtCbGrDekev2jEQc8SOH4bviSoCm\noaoaNM0Yks4tvB2LT/BiVWkdjvQcI+bjmjBxoPsIZE7GAu+8MX2+yLPYXFuO7lASrd2kwI0rBmZV\nX44yj462plPEfjSm4q33jsDNnMKSxdXgxPMRxmwiL03aZy9bo4uuW9d8nmem5DXYYfriCL0CYpom\n4nE1qwgRBHZg4kU8a73LcLGXCoXR9vP/QPj9Hbav1ylg51o3dqx1w+RY3LLgeux75gyOhyohests\n3yPScTyw8ThWzu4BRQGCex7KFj8ATsp/BNBkIMs8PB7RSdPOEByhN3UYrNszDCROkXV7ejQCDIxX\nA6zrUzKZGkznZjMHHg8uzoW1ZatwvP8UIirZMXu09wRM08ASf9WYBBHD0FhXXQqGpnC8KUjsq5oB\nJlCDjWtqcfzgB8S+rpv4YN85dLd9jBU1xZC8CwcawkafS54We9maXNICkOMcsedQOByhVyBM07oA\nxmL2NzCeZwZn144mVNJij+3vwsnvfAdqS7Pt66ISjRc/5cOp+SK8ghf3zLsdv/35PiQ9q7Omaud6\nuvDVLcdR6rb8ozylm1C84A7QTP4WBhMNy9Lw+STQNIVQKOGkaWcIjtCbWlAUBXmZVbcXPfgJ4cWZ\nOH0Kcm0duKKiwTVNM6AoGiSJhyTx0DT7ST9jRWQFrCtbjYZQI/oVUoydDp5FWI2grnjpmAQRRVGo\nmRfAnBIXDp4mmzQMEwjpAVz36Ztw+uB2pFLkw/uJM7346OOPULdAwcLq9YjG9FGvUelOW69XhK4b\ntm4MqZQOmqbAsrQj9hwKgiP0CkC6cypiU/cBnA/p5zO7NhWO4OR3vgM9Erbdbyrn8PzVAfT7WFT5\nFuAy5jI88tQJsIElWc7RwJULTuOO1U0QWAMUzaF4/u3wlm+ZkqPM0s0WsZiKWEx17FJmEI7Qm5oI\ns2dDXroM4V07MzdME4kTx+G77HJQLDt0ecDKyITXW/hmDY7hsK58NdpjneiMdxP7TZFWtMc6sbKk\ndkxTNACrSWP5oiIcPN1j26TRFaFw+bW3I9p5BEEbG6vu3hje3nEQq5cYCJSvyelamm6+8HqlrPXY\nqqqDZWkwjCP2HMaPI/TGiWla0bdQKGG7n45KhcO5j+AyTRPtv3oESmOj7f6HdTLe3uRFiqNxdeXl\nwLFivLA7Bk6270hj9DC+sOE41s7rB0UBrFCEssUPQPIszO0vOYlwHAOfTx5stnDGls08HKE3deGK\nimGaJhInM33ljHgMWiQM9+o1xHt03UAyaZn/yrIwWGtWCBiawZrSFQgqYbRE24j9jngXzoTOYVXp\ncnB5mhqn8bsFbFxWjpPNQQSj5O9lTziF6tXXYE7AwNkzpN9eUtHw8aGTuGbLbLj81Tkdc2iJTra5\n54qigedZ0DTliD2HceEIvXFgmladRSgUt91nGBp+v5T3GK7gm28g+PabxLrCAi9f4UP9EhkCK+D+\nms/inT914ViPJ+vUCj/djL+4ugFlHquwWfLVoKzqPrB8/p5UE43LJUCWecRiChIJRwjMVByhN7WR\nFi9BvP4ItGCmybDS1AihshL8rNm271MUDYZhDlix0AWL7tEUjRUltdBMHWdC54j9vmQ/jvWewMrS\nOgiM/czu0ZAEFpvrKtDVn0BbD9mkEY6nIJTW4totq3Bw/06ixro/lEQs1Ix1a5aCl3PrCrbq9Kxo\nqKrqtnXbipIa7MR1xJ7DWHGE3hgxTWtmbSiUsE0r0jQFv19GLKbkNYor0dCA9l89guEfqjDA724q\nQmcJDzfnwv3zH8Ajjx5HBEW2n2MaOlYW1eNLl3eCZw0AFHyzrkZg7o2g6ak1yiwtiAErijdRTvwO\nUwNH6E1tKJqGVFOD0M4dgJ557YofOwbvJVtAi/Y1veejeyxkmR+Y7Tr+6B5FUVhatAQSK+JYH9k0\nElYjONhdjxUlyyBz8piOwTI01tdYDWknmsm6QEXV0aP68MC9d+LjPW8glcp0Vjh2ugflvm4sqVkL\nlvfmdMx09NPjEbNO9FFVy9qGohxDZYex4Qi9MXB+6oV9YwVFAX6/jGRSQzKZuw2IHouh5ccP2fpa\nvXaZDx2lPChQ2Cxei6f+qwtmFkNjPdmPu5YfxFV1CVAUQDMSShZ9Fu7i1VPuQiFJHDweEbGY6tz8\nLxIcoTf1YdxuMB4PYgcPZKybqgqlrQ2eTZtHvJYMrd0DCjc3d6FvPkqlYhzuOQpz2BSNuJbAx12H\nsDSwBF7BM6bPpygKS+cHUFEk49CZXuL6bhgmTndqeOCzt2HnOy8Q7//oUCvWLEmgYt4G0Ix9Q9xw\nrAdbCi6XAEXJPirNmZ7hMFYcoTdGwuHsUy98PqvINp+b2WBdXsMZYu+TGgkHlspgaRZXuG/Aa+9o\noLKkaqnoSfzVtWexsNy6QPHybGuUmWyfbrlQ0LTli8ey9IgTRBxmHo7Qmx4I8+ZDaW5CqiPToD3V\n1QnW64W4cNGI79d1qzPX5bJ896zo3vjPa457FuZ7K3Gw+wh0M/O6oegq9ncewCLfPBRL9tmOXJhb\n6kbdgiIcPNMDxSYj09xn4sbLavHRvl0Z65pm4NDRFly6ioWvNLfmDOt9VvOFJPG2HqxWLbg+ENlz\nhJ5DfjhCL09M00QspmY1RE67n0ciSdv9bATffgvBt94g1juLWLx2qQ8mTeEzVXfi+RfCMClS5JmG\njlL1A3z71ihconUhcBWvQenCz4Bhx5bKmCjS0y0UxepUdjpqLy4coTc9SI9LC3+wizBqjx8/Bvfa\n9WA9I0fOTBNIJlNgGBoej1iwqRplcglqAotxsLseqWFTNDRTw/6ug5jtKkeFy95LNBcCHgEbl5bh\neFM/QsNss3TDhBiYh1IhiMZzZzP2QhEFHR0d2LiqGLIvt+YMwIraiSIHjmNsy33SViyOx55DvjhC\nLw9M04SiaIjF7G1UJMkabZatAzcbyXNn0f6Lh8m6PI7Cn64JICnSqC2uQduBErQHSVWkqTFs8r+L\n+6/jQdMUQDEoqrwZ/lmfmnLWKemGi3A4kVUsO8xsHKE3faAFAfzsWYh8uCdzwzCQPHMavksvB0WP\nfo1JpSyPuUI2agREP1aULMOhnqNI6pnXZMM08HHXIfgEL+Z55o75GJLA4vLVc3CiqR+94cyH9/6I\ngssvvxrNJ3YhHM60wTrXEoTM9mFpzULw8qycj6eqVgSUoihoGvkzSqV0MIxju+KQH47Qy5HzHbb2\nIk4QrOLjbM0Z2dDjMbT+60MwYqQD/LYtXrSX8hAZATeU3I2Xd3XZnJeBlfJ7uOMKFwCA4XzWKDN/\nTe4nMQnQNAWfTwZFISfTaIeZiyP0phd8eQW0UAhK47mMdT0UAgwD8rLanD4nPVVDFC2TZVW1bz7I\nBzfvxtqylTjaewLRFFnbfLjnGBiKQZVvwZiEEccxKArIWL6gCDsOtEJNZUYjz3ZE8aV7b8fOd16C\nPqxx5UB9B6rnRjF3/vKcmzMAS+yNND3Das5wOnEdcmdqhXumKKZpwjTNrCKP4xi43ULeAsY0TXQ+\n9lukekgz0APVEk7PswqZb1l4E558iazdM/QUAuFX8JmrrNQsywdQsfTrEFxzcj6HyYDnWQQCMhQl\nhXA46aRqHRymGaWfvRdcOWkb0vfaK4ifJL3lsmGaGIjmpxAIyOD5sRkdDyUg+vHf130r6/zblxpe\nx3OnXoRh5pcyHjq7VmBp/PmdK0DbCKvXPgnj//277xPrmm7gX362A2cOPg49RT7IZyPt5uB2C2BZ\n+59POqBQiI5mh5mPE9HLEWuqBfmlsmxU8jNEHvzMd99G/xuvE+udARavX2bV5dUEFgNttTjaSE7I\nCJ56Cf/wgB8MQwOgUFH9ObC8vWnyhWJoqjYfmxmHmYsT0Zt+UCwLqaoKoV07iRKT+PFj8F52BWgu\nd9smTTMGUrlSQVK5PMNjfflqNEda0Z3oJfbPhZvRnejBipJloHMoZxkq8tLnVuwVwTAUjjVm+guq\nmgFGLkPNbBbHjtZn7MWTKZw+24lNK2l4ilblXEqTNuL3+extV0wTSKUsk2onqucwGo7QGwXTNEc0\nPPb7ZSQSqbzrzZKN56y6vGFzJRWWwvPX+JEQGfA0h9vn3IunXz8LIPPLHO1pwB0rzmLR/AAoikVF\n9X2oqKzNOlJnsqEoasic2viUOCeHqYEj9KYnrD8AUBQSx49lrBuJBPRQEO416/L6vHQqV5J4iCI3\n7gdBlmawrmwVehJ9aIt1EPttsQ40hpuxsqQO7AhTNOxEXprFc3040xZGdzAzu9MbTuLSLZejt/kw\nurszS2w6u6PQkiEsX+KBlEdzRvqa6XYLtjZd6dQuz7OO2HMYESd1OwKmaY4o4rxeEZpmIJHI3SsP\nAPREAu2PPAxTIz/37U0ehDzWReiWRTfgj2+2wRwm8gw9BartZVy+qRIA4J97PXjXIoTDSXi9Ijhu\n/OmQ8cAwNAIBGZqm512z6ODgMHUpuvFmiFWLifXwB7sQ2b8378+zRh0moGk6AgF5IDsxdhiawRdq\n77FGQ9pwrO8kfnrgl4iqZD0fMLLIAwCaovD1rbXwuUiPvFf3NOPPvv1/4PORU4eefbke77z9AqI9\nH+f190kkUtA0Ax6PvUG1omhIJFJOCtdhRByhl4X04OlsHbayzIOm6bxtVAbr8rrJxopDSyScmm99\noat8CxBvmYuWbnK8WsfR1/Hl2ytBURQ4aRbcxdb8yVRKv+BiTxBY+P0SYjEFsZgTtXFwmElQDIOK\nr30DlEAKj87HH0Oqv9/mXaMTi6mIxRT4/RIEYWwza9PQFI07F2/FbVU32u43hpvxo48fRl8y81xH\nE3lpvC4e37ilFsNjaCaA5z7oxHe+90PbCNuPf7kbRz9+Bkq0Oa+/TySSBMPQkGV7A+ZYTCnYBBKH\nmYmTurXh/Hgz+xm2PM9AloUxRatC299F/7ZXifWuAItXB+ryOJrFZxfch8dfOYvhGc9EsBWzUm/j\nzhuWAgBKF30GLO8f3B86LHuy07gul9VNFwolCjbn0mHm4aRupzeMywXW70PswCcZ62YqBbW1BZ5N\nl4wplajrxhALfYdnMgAAIABJREFUFmpc1xCKolDlX4iA4MORnmPEfiwVxyddh1FbXAMP785Z5KUp\n9UswTZMYlaaoOkzOjy3LZ2P//g8z9lKagSMnurB5uQZv6UrQeczlVVUNbrcIXTdsa8VVNV2v50zO\ncCBxhF4WsnXQMgwNn09COGzfnDESyaZGtD/yM6IuT2UpPH+1HwnJisLduugGbN+hozuYGS00DQPn\ndv0Sf/21FfC4BbiKVsFTupE4zmSLPYoCvF4JDEM71ikzGJqmwDA0WJYGyzLgeRaCwEIUOYii9W9J\nssS+LPOQZQEul/Xf6aYcl8u6uQ1dk2V+4H0cRNGq1xIE67N5ngXHMWBZBgxDgWHOW0o4AYwLh1A5\nD2prC9T29oz1VHc3GJcL0qKqMX2uVbenDXiSclDV8XltVnrmYI57Ng711BNdt0ldwf7OA1hashgL\nyipyFnlpqiv9ONEUJPz1uoIJbN60EWqoCU1NjRl7wVASvX0hrF5iwF20Mo/mDCtj4/VKUFX76F0q\npTvNGQ62OEJvGNbkC8W2MJiiAJ9PRjxuvz8SeiKB1h8/BD0SIfbe2OxFa7kVlp/vrURlcgve/aSN\neF3XiXewZXEvrty8ABQtoHTRPVnnKU6W2LO6jmXoupF3GtthakFRAMvS4DhmUMBJEgeXSxgYY8WB\n41gwDDNQS2UO/p6luyhVVYOipJBMppBIWPOLh//jcgno6YlmrCWT1rQZVU0hldKhaVbkwhh4KKJp\nCizLgONYCIIlKF0uAaLIgectQciyNGiaAkU5thMTzeDUjD27YSqZ3/vE8WNwr1kL1pu7d9xwFEUD\nxzFwuYRx++1VuMqw2L8IB7uPQDMyhWPK0LCv4xMs99dBoOzr4LJBURTqFhbhgyMdUIc5LpxoCuK/\nffFO7P3gbUSGXfPPNvXD79awYA4PyVudszAzDBOmCbjdou1MXGvfdCZnOBA4Qm8I6bq8aNS+Ls/r\nlaDrOuLx/JovTNNE52//Ewkbv6nDi0Xsr7PMjlmKwecX349HXz4LbVi0UIn2oPOTx/C3f7YFAs/C\nP/taSN6RZ01OtNhjGBp+v4xkUnNScdMMlqUHInLcYHTN5bJ8u2iaGjQIV1UNiYSKWExFImEJOEuQ\naUMEmfWPYZiDN6ORbszZUrfp96U/J/25mSJSGxCRKcTjljjUdQOmad14OY6BKHJwu8+LQCsaaEVO\nnGhz4aAFAcKcOYjs2Z25YRhInD4F76WXg2LGXiusqjooioLHI2aNYuVKkRhAXfFSHOyuh6IPG2dm\nGmgKteKS2Rvy/lxJYDGn1IU9Rzsz1k0Ap9ui+Ksv34bXXn2BMFP+5Eg7VlRRKC0rzWsOuaYZYFka\nomg/E1fTDHAcM/DA44g9BwtH6A2QNkUOBu1NkSWJB8cxCIfzj1qFdryH/tdeIda7/SxeGajLA4Cb\nFn4a+/YwaOkmO8LO7voVPnNdBVbXVoATy1A8/9acvsgTJfY4joHPZzVd2LX+O0wdGIYejNDJsgC3\nWxh86k+LuXjcEnPJZCpDxKWFWyEpZI1eWhgOFYPJ5HkRaBgGKMr6fZUkSwCej/7RjunsOOHLyqHH\nYkiebchY18NhmJoGV93ycX2+pukwDLMg1y8v78Hq0hWo7z2GuJZ5ne9XgqgrroFfIDtmR6O8SIaS\n0nG6NZSxnlB0pCgZN12+HO+9907GnmGYOHCkA5tXGPAWLQbL535cVdUhSTwoCrberda+5WnoiD0H\nwBF6GYTDSduRMyzLwOMZW/OF0tyM9p//x6h1eZXu2VhGfwqv7G4iPqOn4QPQ/Xvx3792CRiGRsmC\nu8AJgZzPodBiTxS5gZ9HfjUtDpNDOqolyzzcbnFg+gAFTTOQTKYQjSqDgi6dIp1MrTNZzRimaQ2C\n1zQjQwBaM0StVLAsW6lpnp/cqN///J/fxhNPPIoXX/wT3njjNVRX16C4uGTCjzsRSDVLEf3kI6Is\nJdlwBlJ1DbiS0nF9vtWkYZkHp42Ex4rMSdg0Zy32tH1ERPb6Ev3YNCs/L8A0NfP8OHquD/2RzGxQ\nR18c69ashJtJ4Pjxoxl7sUQK55r7sWFZCq6i5Xk3Z3i9IlIp++u5phlOvZ7DII7Qg/VEn44ADIei\nrMkX0Wj+ky+MZAItP3oIepicavHmJi9aK6z6Opqi8aWlD+A3L5wjZimmEiE0vP8IvnX/GiycF4Ds\nr4O3fEte5wEUTuylC+dDobitKHaYfKxUjiXsPB4RLEvDMEwoijaYck2LuqmQurzQXbfp70Ja/CWT\nKRiGAYaxfo4ulzgo/NId+IVm8+ZLcc899+H22++C1+vFv//7j3HbbXcV/DiTAcUwEKsWI7Tzffup\nGZdeBpqzryXOFcMwB2bASqCosXfkchyD0iIfaIPFoe5M4dWT7MMS/yIUS0V5fy5NU6idH8Cuwx1I\nDbsuHjvXj2/efxsOH9iDnmHjLtu7ooCZQnWlAleezRm6bvnrJZPkfSv9O+vU6zkAjo/eYF1ethuP\n12sVvubbfGGaJjqfeBypTtKh/UiViBMLzxf+Xj//KuzYE0PEpvav+aNnUVUp49IN80DRHPxzrsvr\nPIYyXp+9dNqrvz+ed8exQ+GgKAqiyMLrFVFc7IbHI4KiKCQSKnp6oggGE4jF1HHXNV0smKYJVdUR\ni6kIBhPo7Y0ikVAH68OKi93wekWIYuEmELjd7sH/jkajOd/gpyrivPkouZ0UqlpfH7qeeqIgx9B1\nE/39cfA8C7c79+hXmqEWKhtK16JMIiOoLzW8PubvTIlfwpdvWkqet2HiN6+dwv//f34Mj4dsUPn9\ni4ex+8P96Gt+Na9jq6oORbEie3bE46rjr+cA4CIXelZdHrLW3cmyVQcxFuPf8M4diHy4m1jv8TF4\nb51n8M+zXOWoNFfjgyOkIAy2HECw5RN85d611kixiivA8mPvZAPGLvY8HnHAPiXuXDguAAxDQ5J4\n+P0yiopc4DgWiqKhry+G/v541k5xh7FhCT8F/f1x9PXFBrpAWRQVueD3y5AkftxTHH7wg+/jzjtv\nxq9+9XP8/d9/tzAnfgEJXH8DpOoaYj3y4R6Eba6FY8E0LX9ThqGzTouwY7hPHkMzuHkh+dDcEGpE\nfe/xMZ/fupoyXLN2LrHeFUzgzUMR/PM/P0jsmSbwo198gIaTOxHt2Z/X8WIxBRRFQZLsI6aRSNKp\nQ3W4uIUeAITDCdsvQbp4eyzNF0pLM7qefpJYTzHAq5f5oLFWVIAChc8uvgtPbjtDvFZT42je/wy2\nrK9E7ZJSsEIRPKWb8j4XO/IVe16vlS5xxplNLmk3/EBAhs8ngWEoxGIKenujiESSA8POnf8hE41p\nWmnwSCSJ3t4oYjEFDGPNcg4EZMjy2ETf3/3dP+JPf3oF3/jGn+Hhh38yAWc+uVA0jYqvfh20JBF7\nXU8+jlRvb0GOkx6bRlEUvF7yWMPJZoa8tnwVZrsqiNe/3LCN8NzLh89eXYV55W5ife+xLsBXjW98\n48+IvUhMxYM/24nOs68iGW0k9kciHE5Aljnba7lhmAiH7RsMHS4eLlqhl67Ls6v1SKdswuFk3vU5\nRjJpzbFNkWnYdzZ40O87P97n2nlXYv8nKmG4CQCtB56HmYrgC3evBgAE5t4AaoRB3PmSi9izfAMt\nB3jnYjE50LT1dJ4WdxRFIRJJoq8vhmhUcZpfpgBpC6a+vhgikaQVbR8QfZLEg6bzS+/ecMPN+Pjj\njxAKBUd/8RSHKy5B2ecfINaNRAIdv/kVTKNwdb3ph3Tre5LlfEaYeEFTNLYuup54T3O0DQe6j4z5\nvDiWwbduWw6BJ6+rT791Cjff+UVccsmlxN7pc3341VP70HP2D9DUELGfDcMwEYkkB0s4hpNK6Ugk\nVOeh8CLmohR6aY+wbHV5Ho8ARUmN6aba9dQTUDvaifX6RSKOLzr/9Fkml2CpsBFv728hXhvpPIHe\nhl246ZolmF3ugeSrgeQlB4mPl5HEnnXzcoyQJwtBYAfFAsNQg0IiFlPG1WXoMLFomoFYTBkU4gxD\nDYr0bDNb4/E4OofU7u7cuQNerxdeb/7WHlMRz6ZL4NlIZh8SJ46j/81tBT1WJGI5Jfh8MiFychlr\ntrKkFvO9lcT6yw1vjCuqV14k44vXk2nslGbgly8dwz9970HMmkX652177zTe3H4EPQ3PwjByt62y\n6vVS8HjsaxdjMXXAb9IRexcjF6XQA7LX5YkiB5qmx1SXF9r1PsK7dxHrvT4G29efr8ujQOHeJXfj\nyW1nMPxrZ2gqmvY9DZfM4bO3LAcoBoE5n877XHLFTuylO41TKS2rebTD+GFZGm63gOJiNwSBQyKR\nQm+vE7mbrqQjfb29MSQSKQgCh+JiN9xuASx7/lKbTCbwj//4d/jCF+7Bl750H5599mk8+OCPZ0x3\nJEVRKPv8F8AGyO7Vnj89B6WZtJAaD9b3RYPfLw3+DHOdXUtRFG6xiep1xruwt+PjcZ3X5roKXL5y\nFrHe3hvHq/u68dBDPwHHccT+zx/fh+MnjqK/+ZW8hFkspg52jtsxljIkh5nBRSf00ilbO2sQmqbg\ncvFjimApra223WUpBnj10vN1eQDwqbmX4thRoK2HNEZuO/IylGg3PnvLcnjdArzll4LNwzNvLAwV\nezzPwO+XoKramMSuw+iIIodAQIbHIw10EsYQDifGPdfTYeqgqhrC4QT6+2PQdRMejxWtFUUORUXF\n+OUvH8Xjjz+DRx99Gj/96SOoqSG7NaczjMuFiq98jdzQdbT/6hcwUoW9tlhd5pbY4/ncRF6apYEl\nWOInpwy9evZNYmRavtx3XTVml7iI9Z2H2xFGCf7mb/6e2FNTOn7wH++js2U/ot178zpeOJyEy2Vf\nPpDOYjlRvYuPi0rojZay9XqlrCJwJAxFQfsvfgZTJT/33Q0e9PnPp3CKxSKs812GV3aTBbexvkZ0\nnXgH5aUubL2mGgzvh7ecrOWYCFIpHZFIEl6vNJCOckReIbEeIqzoHc8ziEYV9PfHkEioU8LbzmFi\nMAwTiYSK/n4rUsvzDIqLXXC5hLxr+aYb8rJaBD59A7GutrWi54/PFfx4sZg64BUqIRLJ3czdiuqR\n59mb7McHbfvGdU4Cx+Bbt9WBZ8lb7RPbTuKyq27B1q23EXsd3VH82692o7d5G5KRczkfL31/y9ak\nkr6/OWLv4uKiEnrAyFYqpmkikch/nFfX009CbWsj1o8uFHFsUeYX7r6au/HUtgbow27upqGjae9T\ngGngi3evBsdZKVuatg/DFxqKsoSIomjgeWZMPnsOJFYKyYrmABiI3jkTRS5G0pHz/v44ACAQkOH1\nSmDZmftdK77jLvBzSLuR4FtvIFY/9oYHOziOAc8zUBQNLpeQVyq8yr8AdcVkVPX1c29D1cc34nFO\nqRv3XVdNrCspHY+8WI+/+dvvoNrGlmbvgVb88dV69Jx7Dpqae6NOIpGCaZqQZXvLFSeFe/Fx0Qi9\nkVK2LEtDkrgxpWzDH+xCeNf7xHqfl8H29Zkt9pfN2YzmBgENbeSkjM7jbyIRbEH1omJcumEeRE8V\nJB/55Z8I0jV5qmpZSIzHVNnBwkqBywMD2TX09lqNFU70zsEwzAGbnNjgKCu/Xx4YVTezoDkOs77+\nTVAs2ZjS8dv/hB6NFuQ4Q2vyIpHkYBo3H7FnV6sXUsPY0frBuM/v8pWzsLm2nFhv7orihd0t+OEP\nf5phop3mqT8dwieHGtCdZ3NGJJKEJHEZtaFpnBTuxcdFIfRG77KVEInkfxNW2trQ+eRjxHqKofDq\nZT6kuPM/3oDgx+UlV+GPO0jPvGS4E+1HXgUAfPXetaBoBoG5109KcXbaQmVoTd54J2hczAgCO+Ct\nJiCRUNHXF0MyOb6IgMPMJZlMoa/PSuHLsoBAQM7arTtdEeZWouTOzxDrejCIziceHbfgsGu8SNfs\njWS9MpxKzxysKV1BrL/ZuB1JbXxRMIqi8MD1NSgLkCnVdz9uRVdcwve/T5opG6aJh36+C+2tDehr\nejnnn5VhmIhGFXg8TgrX4SIRekD2cLXbLUDT9LwL4a26vIdt6/LeW+9Grz/zYv25mjvxzFuNxCxb\nAGjc9yRMQ8OW9ZVYtqQU3tLN4MTJGXBu1eTpRE2eI/byQxCsqQmiyCEaVRAMxm1nJzs42KEoGoLB\nOKJRZaBZxzWjBJ//2usgL6sl1qMf7Udk99gjZiN111o1e3pOpsppti76NChkKsNoKoZ3m3eO+RzT\nSAKLb922HCxDKs/fvnYMy9dswVe+8nViLxxV8ODD7yPUfQCR7g9zPp6iaNA0Peu4OCeFe/Ew44Xe\nSClbq6aDRTSa/y981++egtpKeuAdXyCgflHmaJ7NFesRbPeh/mwf8fruUzsQ6z4DlqHxhbtXg+E8\n8FZckff5jAWvVxp88rPDEXujk47gpVP/oVDCqb9zGDOplI5QKIFo1Eq9zZQIH0XTKP/y10DLMrHX\n9fQTSHV35/2ZuVioRKNWpiZXsVfhKsfGirXE+ltNOxBLxfM+x+HMr/DgnquXEOsJRccjL9TjG9/8\nC2zYQHoQnjjTi9/8/hMEW99EMtKQ8/Gi0SR4nrW9fjsp3IuHGS30RkvZut0iolEl77Fe4T0fILxz\nB7Ee9LJ4Z4MHQ3MFPt6D6+Zcj9+/fYp4vRrvR+vB/wKAQXNk/5zrQDP2RbSFJD0ncrS6REfs2cPz\nzOAkBCuC5wg8h8KRSukIBhOIRpXBSSnTvYaPKypC+QNfItaNZBLtv/5lXlMzcvXJA85f43KdjXvT\nwuvAUJk/66SexJuN23M+v5G4eu0crK0uJdbPtofxwq5GPPjgj1BaWkbsv/L2SWzf3YCes3+EpuTW\nnGGalth1u+3/7k4K9+JgRgs9IHt42uXix5SyVTva0fkEWZenMzReudSbUZcHAPfW3Inn321GLEke\np2n/72BoSbhkDvfcshyCez5kf11e5zMW3G7L2iHXsWaO2DsPy9Lw+SS4XAJiMStF6wg8h4nCEnxx\nxGIKXC4BPp9kW2A/XfBs2AjPJVuI9eTpU+h//dWcPiMfkZcmHE6ApqmsacyhlEhF2DJ7I7G+vWUX\nQkokp+ONBEVR+PJNS1HsJcXXtr3NaOoz8dBD/wbWpoHlZ4/uxdnGdnSffSbn5gxV1aDrOlwupwv3\nYmX6XjFGYbQu23QtVT4Yqoq2Rx6GqZDv277OhZ5A5hdzfflq6MEy7DveRby+r3Efwm2WvcA9ty6H\nxy1a82wnuAFDlnmwLJP37NqLXezRtDX/2OuVoCga+vvjUFVH4DlMDqqqo7/fqvv0eiV4POK09eEr\n+9z9YIuLifWeF55H8ty5Ed87FpGXJhxOgGWZrLYjQ7lhwdXghs0WTxkpbGt8J69jZsMlcvhvt9WB\nsfl/+OuXj2Leolp8+9t/S+wpqo4f/Ox9hPpa0Nf4Ys6RuEjEqv10unAvTmak0DNNE4ZhjtBlm07Z\n5veL3f37p6G2NBPrZxa6cKQq8+nMzbmwdd7NeGLbCeL1mhJFy8d/AACUl7pw89XV8JRuBC+R7feF\nRBQ5iCKHUCiRd7oauHjFnizzCARc0HUD/f1OF63DhSOZTA1M2zAQCLhyEi1TDUaWUfHVb4Boh9V1\ntP/nIzBsHqSB8Yk8wEpjhkKJgevgyHWPfsGHK+aQkcddrXvQl+zP+9h2VM3x4c4ryYkcsaSGX75Y\nj8989j7ccMPNxH5rRwQ/+fUexPqPINK1O6djmaY5agrXNE1H7M1QZqTQA5A1WifLPAzDzLsjMrx3\nD0I7thPrCb+Mbesl4qJ1T80deG1XO4JRUmy2fPwcNMXyj/ri3ashSF74Kq7M63zyheMYuFw8QqH4\nuL7MF5PY43mrk5ZhaPT3xwYuhhf6rBwudkzTujH398fAMDSKilzTrn5Prq5B4IabiPVURwe6n3uW\nWB+vyEtjmiZCoThcLmHU69en518FYVi9tGbqeO3sW2M+/nCu3zgPKxaR0c2TLSG8uKsR3/nO/8Ki\nRYuJ/d0fNeO/Xj+OYNvbSIRJyy47FEUb0Ug5EnHmms9UZpzQM00TqZR97R3DjM0YWe3sQOdjj5LH\nYhn86RKBqMtbXboccmIuth8gp2WE2o6gr9GaX1hTZZkj+2dfA5rNrVB4LDAMDa9XRCiUhK6PX6nM\ndLFH0xS8Xmlw7nEkknSMjh2mHIZhDv5+ulwCvF5pWqVzS267A8K8+cR66N23ET10cPDPhRJ5aXTd\nRChkXb8YJvst0M27cHXl5cT6no6P0BnPv0vYDpqi8NWty+B3k+LrlQ/O4WyXgn/9159CtulWfuy5\nAzhyvAO95/4ITcktypg2Urb7e6uqhlRKd6J6M5AZJ/QAZLVLcbsFxGL5zRY1UiraH/kZTIX8zN3r\nA+gJZI4oc7Ey7lh0Kx57nUzZ6qkkmvf/fvDPX7lnLQTXXLiKVuV8PvlC0xR8PgnRqAJNK1xN2UwV\ne1aaVkYqZdVEOY0WDlOdob+rlln39EjnUiyLiq99ExRHjnnsfPTX0CLhgou8NJqmIxpV4PONLI6v\nmXcFZDbTmsUwDbzS8EbBzsUr8/jmrXVEJtsE8KuXjqKobC6+973/TbzPMEz8y893obunD90Nz8DQ\nR59Pbk1lUbM2pYzFasxh6sN897vf/e6FPolCkW7AsCuSFwQWHMfm3YDR9bunEBvydJmmt7oCr9ea\nRMr2vqV34cAhHQdO9xLvaT3wJ0Q6jwEAtqyvxB03LEPponvA8t68zilXKArw+2Ukk9qE1JUZhjkw\nRFyEphnTOuqV7qalacrxwptgXC4ha/2sw9jRNB2KokGSeEiS5Sow1b+TrMcDWpYRP3woY91UFGjd\nXZh73ZWIRJQJ+T5ajXpWJ66i2F8fuYFZ4yf6T2est8c6sbp0Oby8pyDnUuKTQAE43pRpm6KkdDR3\nRfD5Wy9DPB7DoUMHMvaTioZTDb24YkMZjFQ/JP+yURv6NM2AJPGD9mNDMQduaSzLTMpkJofJYcZE\n9NKFpHY3EIqybi75Pq1E9u1FaDvZZWUW+/HsKo0QecuLl6LMXIxtH5ING9GeBnSffg8ABs2R3cXr\nwMuz8zqnfPB4JKRSOhKJibupzoTInsvFw+eTEI+rCIUSU/7m6OCQDcMwEQolkEioAzZAUz+657/q\nGsjLydFjkY8/Qstb703oQ1cioSKV0rOOCgOAK+deCg9PzqF9qWFbQc9l65YFWDrPT6wfPdePV3c3\n4i//8ttYu3Y9uX+qG4/94RPEg0cR6cptykg0aqX77bRcLOY0Zsw0ZozQA7IXk8qyAFXVoGm5G3Kq\nnZ3ofOw35AbL4uUtHqjD6vJERsRnltyBR18/DmPYF8TQU2ja+yTSlfw3XbMEc2eXwTf7qpzPJ19c\nLh4Ulb0ppZBMV7HHsjQCARdomkZfnzOyzGHmoCga+vrioGnrd3wqe+9RFIWKL30VtJsUU10vvTTh\nx49GFVAUsqa8BYbHDfOvIdYP9xzF2VBTwc6Dpil849Y6eGQylf38+w042xHDgw/+CCUlpNnyC2+c\nwM59TQPNGaeJ/eFomgFV1SDL9ilcpzFjZjF1v/15MFoDhiiyxCzXkTBSKbT/4mEYSTIC2HjlUjR4\nyC/BXUu2Yu+hMJo6o8Rex9HXkQx3AMCgObJv9lVgWLLAthAIAgtB4CbVCHO6iT1ZtqJ4sZiCSCTp\nPL06zDhM02rWiMWsWrSpXLvH+v22UzPUlmbo8fGPHhuNcDgJUeSyjpu7dM4mBAQy2vZygaN6freA\nr99CzgQ2TeAXL9ZDcgfw4IM/AsOQ19h//80eNLeF0HPuT0gp5LjN4cRiKkSRdRozLgJmhNADsheR\nejzCYCg6V3r+8HsoTY3EurliKf6rrJNYXxpYgkVCHV7YeZbYSwRb0XnsfOHuPbcuR1HpfLiLyXmK\nhYBhaLjdwoBX3uR+SaeD2GMYCn6/DI5jBkyPnSiew8xGVS2Db45j4PfLYJipWXsV2LQRrN+XuWia\niB+rn/Bjm6aJcDgBt1uwFT4czeKmhdcS68f7T+Fk/+gRtHxYvrAYN20mu5H7Iwp+/fJRrF27Hn/1\nV98m9hNJDT/42fuIxyLoyaE5wzSdxoyLhWkv9EzTRCKh2tqGWE9nVF6NCJH9+xB8521inSkpwbOr\ndKIuj2d43FtzJx57/QRSw1LDpmGgce+TMA2rxiRtjlw090ZQVOF/9BR1vsPWbiLIZDCVxZ4ocgPN\nKSmnFs/hoiJdu5dMpuD3yxBFMj14IeE4Bj6fBM+adcRe7PDhSTkHTTMGO3HtGhE2VaxDmVRCrL94\nZlvBH6pvv3whFs/xEesHz/TizX3NeOCBL+Paaz9N7De3hfEfv/0QaqILvU0vjHpeyWQKFEXZRjJ1\n3bq3OlG96c+MEHp2admxNGCo3V32dXkMg6M3LkeHESK27qi6CfUnkzjRTA6Z7jr5LuJ95yODX7x7\nNfzlayG4K3M+p3zwekUoSuqC15pNNbFHUdY0FEniEAwmnMkWDhctyWQKwWACksTB4xFti/Enm6EW\nKlLtcmI/duTQpIkNRdGgKCl4bebQMjSDmxeR4upsuBH1vccLeh4sQ+Obt9bBZTPB4w/bz+BsewTf\n/e7/xoIFC4n99/c24eW3TiIRPIZw585Rj5VLY4bD9GZaC71sIg/IvwHDqsv7OYwEOQOW2nodXteP\nEuuL/QtR512DP7xLhu6VaA/aD58vJK6pKsZlm5bAP5ss6i0ELpcVfs+nFnEimSpij2Fo+P0umKaJ\n/v74BYt0OjhMFaxRftaEHCuVe+FuA8N98uRltcCw+jM9GLQdPTlRpK+h6WvqUNaWrcQc9yxi/aWG\nbTDMwl5bin0ivnLzMmJdN0w88sIR0KyIH/7wpxBFsmP4N898jKOnuhFqfxeJ0MkRjzNaY4Yj9qY/\n01bopefZ2kVnaJqCKHJ5eXX1/PFZKOfIGjt59Ro8XUzW63E0h8/X3I2n3jiFhEK2/zfteyqjRuIr\n96yFf/br2/K9AAAgAElEQVSnwHBkZ9l44XkGgsAiHCZF6oXkQos9K1UrIR5XJqX72MFhOhGNKojH\nVfj90gVJ5dqZIdOiCLm6hnhtbJjP3kQTDichCCwxWo6maGxdSEb1WqJtONB9pODnsWZJKa5dP5dY\n7wkl8ehrx1BVtRj/9E/fJ/Z13cS/PLwT/aEEehqfRypJ+roOJR5XIYqcrXl0MpmCYTh2K9OZaSv0\ngOzWIS6XgEQi9wkYkY8/QvCtN4l1tqQE+z9ViS6bL8kti67HuSYDB073EHu9DbsR6Tw/GWPL+kqs\nXFELT+mGnM4nH2iagscjIhxOTMk5rBdK7Lnd51O1FzqV7eAwVVEUbTCVm23g/UQw0sQLO0+92JHJ\nqdNLk27O8HhEQvysKKnFfC9ZfvNywxsFj+oBwGc+tRjzK0hj5v0nurH9QBtuvHErPve5+4n9vmAC\nP3xkFzQ1ge6zz8DQsz/sGoZVj2cXxQSAWMx5UJ7OTEuhl3b0tuuYZFkaHMfkHM1L9XSj89FfkxsM\nA/Pzd+Ktrg+JrYXeedhQsglPv0mGxFOJEFoO/PH8+QyYIwfm3gCKKrzQ8Xoto998PAInm8kUezRt\nddVSFJxUrYNDDqRTuTRtTdKZ6Hm5o401c61YSawlTp+CHo9N6HkNR9MMxOMqvN7M1ChFUbh10Q3E\n6zvjXdjb8XHBz4NjaXzrtjqIPHnt/N1bp9DUGcH/+B9/g5UrVxP7h4934ck/HYKW7EHXmd+NGJWL\nx1VwHGPruagoGnTdcKJ605RpKfSA7NE8tzv38Uqmpll1eTY+TUV33oWn47thIvMXm6UY3L/sM/jD\nO2cQjpNp4+aPnoWunv+8m65ZgsU1myF6yKLZ8eJyCTAMA4nE1G8umAyxx7I0/H4ZqqohEnGsARwc\n8iEcTkJVNfj98oQZLOcyu5afNRtscXHmomEgfpSsk55oEgkrbTk80lUTWIwl/kXE6189+yY0o/AZ\nhLKAjC/duJRY13QDP3+hHrpJ46GH/g2BQBHxmj++ehTPvXIUaqwJ4c5dIx4nHs8e1XPKX6Yv007o\npc2R7S4SPM+ConK3UwlufxfJsw3Eumv1GuxeTKMjRnrm3bTwOvR0sdh1pIP8vJYDCLZ8cv5zZA73\n3rYG/jnX5XQ++cDzLASBnVaCZiLFniCwA9YySWeOqoPDGInHVUSjSfh8Ulbz4LGSi8gDrIiZazkZ\n1Ysdmdw6vTSRSGKgXu/8z4OiKNxaRUb1epP9+KBt74Scx8Zl5bhyNTkys7MvjiffOIny8go8+OCP\nQNPkbf3x5w6g/mQXYr0HiL2hJJMp0DSV8XdNk77vOlG96ce0E3oURWWtF7DsVHJ76jBNE6Ed24l1\nWpKh330T3mgi9+Z55uCyWZfi8ddPEHuaGkfz/mcy1u65dTnmVF0LlvfmdE65YtXlCVO2Lm8kJkLs\nuVw8ZFlAMJiAqk7cXEwHh4sBVdURDCYgy0LBpmnkKvLS2KVvY4cPXxCRYZoYqNcTMtLai3wLsLyY\njLK9fu5tqKOYFY+Vz12zBHNKXcT6B0c6sOtwOzZu3Iw///P/x/a9b71/BpraB00Nj3iMaFQZsVbP\nzmPQYWozrYSeaVpdtnb1aKLIwTCMnAdgK81NUNtaifWiu+7Ck00vE0W1NEXj/mWfxQvvN6InREbR\nWg88j1TyvM9eeakLt924Gd6yzTmdTz54PCISCfufw3SgkGLP4xHBcSyCQacez8GhUOi6gWAwDp5n\n4fGMr0kjX5EHAPLSZaDYzKiSHgpCaS7cbNl80DSrRGb4z2KrTa1eSI1gR+vuCTkPnmPwrduWg+fI\nW/cTb5xAW08MX/rS17BxI3nf6e61Sori/SM3tqRSOgzDsO3E1jQDyWTKiepNM6aV0AOAeJyM2Fnm\nyHxeNQTh3R8Qa/ycOThe7UVrtJ3Yu2H+1UiGZLy9v4XYi3SeRG9DZu3DF+9ejbKFN4OiC5v+kCQO\nFEVN+/TkeMUeRQE+n1UkHQzGnQuPg0OBMU0TwWB88Ls2lkDOWEQeYNmsSEtIm5X4JHffZhw7roKi\nKEjSeQFU6ZmNNWVk9PGNxneR0CamrGZ2iQsPfJr82agpAz//ryOgKAqf+9wDxP7RU90IRxVEew+O\ner20onr20Vy7e7DD1GbaCL10NM9u1Jko8lBVPeeIjqnriHxIPnH5r7oGB7vJC4mHc+Oayk/h0deO\nY/jRDT2Fpn1PZazVVBXj2muvg+RdnNP55ArD0JBlfsr55Y2VsYo9q7PWBU0zplWNooPDdCQcTkLT\njLw7cscq8tK4VtjYrEyyn95wwuEEZJnPMJneuvDToJD5c4ml4ni3+f0JO49LV8zCJXUVxHprTwx7\nj3XissuuQFFRZkOLphnYseccNKUHapzMZg3FcrXQIUmk2NN104nqTTOmjdADYBvFoihAlvMzR44f\nq4cezqxToFgW0rq1OBkkmzNuXHgNtn3YitYesr2/7fBLUKLdGWtfuXc9iuZen/P55IrXKyIaVWbU\njNZ8xZ416UJGIqE63k4ODpNELKYgkUjlPEljvCIPAGSbhozEmdOTbrMyFMMwEYspGSPSKlxl2Fix\nlnjt203vI5qauHN94PpqlAXIqRh7jnaB4zhs3Xobsffm+9b9LdZ7cNTPj8dVyDJnG8md7hmli41p\nIfRM0xxscx+OJOUXzQPs07auFavQpPUSRbQCw2Nd8Qa8vPsc8Z5EfzO6TryTsbZlfSU2XXYHWCGQ\n8/nkgsslQNeNGWn+m6vYs+xTJMRiijOv1sFhkkkmU4jFFPj90oj2K4UQeQDAz5oFtqQkc9EwED9a\nP+bPLATJpOUpN7Rh4aaF14EZ5pOa1JN4q/G9CTsPkWexZTkZ1YsP2G3ddtudxN7Zpn6caexDLHgE\nhjHyNXSkqJ5lsOxE9aYL00LoAUAiYR/NkyQur5oBI5lA9BPS1NJzyRYc7ztFrNcW1eB0a5hMGZsG\nzn34BDCkaYNlaHzlvivgLb805/PJBY5jBqxUZm4EazSxx3EMfD4JkUhyRopdB4fpgKJYHpU+n5T1\ne1oIkQeMYLNy+MLV6aWJRBQIAjv4MyiRinDp7I3E67a37EJIGbnLdTzULSB985q7o9B0A1VVi7Fy\n5Spi/633G2DqChIh0j1iOPG4MlAXTu7Z3ZMdpiZTXuila/OyRfMURbet28tG5KOPYKqZv6C07IJr\nxUoc6yeF3tKiJQjZNHmEO08iEcxszLj5miWoXfsZ0HRh50a63VbKdqY/PWUTezx//ubh2Kc4OFxY\nVPX893ToLNhCirw0LttxaIcu+LXQNE1Eo0rG2LjrF1wNbljzXcpIYVvjO8PfXjAWzPJAGuZ3mFR1\nNLRZ4vK22+4i3vPennNQU3pO6VtdN0eM6jm1etODKS/0gOy1eZLE590BFNlDpm09GzYigRSawmRH\n7dKiaoRj5PET/c0ZfxYFBvffcx0kH9kNNR5cLh6aptuOe5uJDBd7PM/A4xERCiUKdvNwcHAYH6mU\njlDImgXL88yEiDwAkJfV2tishC6YzcpQVFWDruuD3al+wYcr5m4hXrez9UP0Jvon5BwYmkbtfLJM\nqP5sHwDg+utvgihmWsJEYyr2fNyMZKRhVE89wKrPlCTeiepNY6a00DNNE4qi2UbzZJmHothH+rKR\n6utD/PgxYt17yRac6D9NjDsrlYpRIhUhZCP0UsnML8iCuQEUly8uqJkky9IQRe6iGz0zVOx5PBJC\nocS09Qx0cJipaJoxIPakCRF5AEALAqRq8uH5QnffpolEFIgiN1iz+Ol5V0FkMs2GdVPHa+femrBz\nqF1Ipm+PnrOEntvtxrXXko2Bb73fAMBErG/0n6NhmFCUlK15tq5b92gnqje1mdJCL5tfHEVREEU+\n786fyId7MHyUBFdaBrFqsW193tKiagCwjegNF3qzKzyQvNV5nc9oeDwXR8rWDksvUwBMx4l9BkBR\n1vc2bc9BUdSYfNkcphbWd9MEMHH/P+3q9C6kn95Qhqdw3bwLV1VeTrzuw46P0BnvJtYLQd0CMqLX\n0B5GfKBh7fbbyfTtwaMd6OqJIdY3uqceYGXVRJG3vRYnEqpzjZ7iFNbNt4CkZ9raddNKEpd3NM80\nTYTt0rabLwEAHO87SewtK1oCALYRPW2Y0CsvcUOQyTmEY0WW+YEnqYsjZTuU8+naOCiKmrBogcPY\noCiApmkwDDX4b0vE0aBpalDEDfVcs+4l5uAczqIiGcPFgWGYME3ru2oYJgzDgGma0HXrv9P/vhDP\nPaFQEN///nfQ2toCnucxZ04l/vqv/z8EAoXtrp9ODE3XmqY52CxV6Dpa14oV6H72dxlriTOnocdi\nYFzkOLDJRlE0iCIHSeKRSKi4Zt7leK9lF+Laeb9TwzTwSsMb+Mryzxf8+GUBGaV+Ed3B856ipgkc\nawxiXU0p1q3bgMrKeWgeku42TeCdXQ249zYX1HgLBFfliMdIR/Ws5sfM+6GmGVBVDRzHOIJvijKl\nI3rZInaSxOVdG6A0N0FtJWvwvJdciu5EL3qTmTUUNEWjOlAFwF7o/V/23jxIjvu8Enx5Z9bZ1Qca\nRzfObtwEQIIEeIIkSAoiKYqUZEm2LM94ZzyxE7uxu4rd9R+zMRO7jphZx6xnRh6PHOvxSr4kWR7J\nHsljW4cNghRBiqQgNEDiJtCNbnQTRwPdXUdWZeW9f2RnobvzV9VZV1dWdr0IRhC/rsrMujJfft/3\n3lta0WMYytP6rRUM47ivr0YzYI67P5NnGFZTsnE78AeKosBxDCSJQywmIJmU0NMTRU9PDImECFHk\nwbI0bPt+NJIsF5HNFpBOF3Dvnlz6b2ZGxsxMHnfv5gAAMzN5zMzIix6TTheQzRYgy8VS1KFtuyMM\nPBIJET09MfT0RJFMSojFBEgStyIXGIqi8KUv/SN85zv/FX/6p3+BDRsG8Ad/8J+aus8gY+lM3v02\nbuN/p9zadeB6+xYvBsBmZSFyuSIiEc45d7MSXtj0jOcxp6c/wFTuZlP2T1LfXphv31IURbRaOf72\nmOML6EOUATiVu4WpIAvR8dULNgJJ9GzbLl3kl0KSuPlKX3WkKkfwzhO3DYFfs4bYtt0UH4TEOmaU\nxNatspTo0YusVupBLCaiUNBCZYzsByxLly4eC2fyOmRvZcBxDCIRh1B1d0fR3R1FJMKDpmkYhoVC\nQcPcnEPg5uYKyGYVyLKKQkFDsahD0wwYhlt5q/67a1lO9c6tEBSLOgoFDbKsIptVFu27UNBgGBZo\n2kmLcY83kRARifAN/54kEkk89NDDpX/v2bMXt2/fbug+2gXlhBeGYZV+p5V89qoFRVGIBDAlYyEs\ny0ahoJVauE8PPIEEH/c87m+v/6Qp+99NIHoX5wUZAPDKK6+Vqukupu/lce7yHeTnLizrqQc483i6\nbhLJnkv2V+OYUTsgkEQPKJ+n5yhtq7t7sE0T2Z+/51lPPOYopC6XsVUBAFU3UfS0ImyYWmHRCsO4\nsyr1gedZ0DQFRVldhsAMQ5daPySC3yF7jQfHMYhGBXR1RdDbG0M0KoCiKBSLBtLpAmZmZGQySsmg\n2gk7b/2J3LKcC45r4JvJKJiZcSqCxaLh+K9FBfT2xtDVFUE0KjT0O2NZFr7//b/Ck08eadg22wXL\nqWt13Sz57PlJ0PALop/ehXOwreCItBRFB01T4HkWAsPj2Oajnsecu3cJ1zMTDd/3rs0pz4zkdFrB\n3bTTPu7vX4vHHnvS87zjJ8dgWyqU9PKeeoBTuSNZrTh/W12iwXZC4IieM5NjEec8BIGFaVpVKzAL\nly7AzGQWrVEsi/jDh2BaJq7MXvM8Z1cFIQYDDUtJHcvQnrVaEIsJq05lS9MUkkkJsqxWnO/pkL36\n4I4EOC3YGKJRHrbtRDq5rdN8XoWmkZXuQYdl2dA0A/m8Wmod5/OOmCka5dHTE0MyKUGSuPkbs9rw\n1a/+DiIRCZ/73BcaePTBh18LFU0zIcsqkkmpqmzcSojs3BVYm5WFcIQZjur2ifWHkRK6PI/53kd/\n3fD9RkUOW9YlPOtu+xYAXnvN27599/Qk5IKG/OxZX/txKvYWBME73u8mVHWqesFD4IgeUL7fH4lU\nX80DykeeMbEYJnJTKJqLZ+FERsDmhDOcSprPY2zvGk3TdX/Bo1Eeum6uKtEBRQHJZASFguZLeNIh\ne9WBZWlEozxSqQiSSSenVFE0zM7KSKcVFApaqL9vum6iUNCQTiuYnZWhKNp89TiCVCqCaJSvqs34\nta/9LqambuC3fuu3Pa2wMKNanzxVNVAoaEgmpYaocWlBgLRjp2c9SO1bAKXzdzTKg6NZvLTlBc9j\nJnJTuDBzueH7JrVvLyxo3z799FF0dS0mnppu4uT7E/OeepmlTyfCycAtV9XrzOoFEYE7U7neeUvB\n8wxsG1VflCpFngFkte1wahsY2iERGZlA6ixvxY2ts3XLMKvTMy+RkErzWH7RIXuVwTD359bicQm2\n7QyLz87mS1XT1XjTbdv3q02zs3nkckXYNhCPS6V5xErtxv/8n38fV65cwm//9r8Hz5MvdGFErWbI\nztymiURCashxkFMygmGzshCy7HjrMQyNw2sfQpeQ9Dzm4oy/Vmk1INmsXJ6YK1XneZ7HSy992vOY\n4ydHAcCXpx7gnH9tG4tSUVx0PPWCiUARPdu2USiQL/iRCF+TC3elyDMARCGG27YFgCzJx8/yqmEd\nMUbtX/BYTEChoK2qH0k8Ljqqr3z15LZD9haDogBR5NDVFZmvolDzAoZ8SbjQwWLcF5jkkc0qoChn\nhKCrKwJRXJzvOTY2im9+849x795d/PN//k/w67/+JfyLf/G/t+7gVwj1Jl64rfN4XFz+wcvAPWcv\nRHHeZiVIcK5jGmIxAQzNEEUZ66NrG77fbRuSEJaQr3zRwPjtXOnfJPXt1euzGJ9M+/bUAxwFbvmq\nXicWLWgInI8eqbLDsjRomq7JU65c5BnNcVCMIq5nvTMerhADADHnljK9a469Sm0X09UowIhGnepJ\nOl1Y/sFlsJDsrVafPZalIUk8eJ4tzaetxvehXhiGBcNQkc+r4DgGosghGhWgaQYURcPWrdvw9tu/\naPVhrigaFWuWzRbR1RWpefSmdDz9a8H19UG/u8B42LZRuHAe8UOHa95uM6AoOkSRA8+z4AjZ532R\n3obvk2Vo7BzswgejM4vWL1yfwdb1zvzejh07sXv3HlxcYk3z+tuj2DzYBS0/BSFW2VMPcCp30agA\nlqU9N5HFol6KhesgGAhMRc9t2ZLuBFwjympRKfIMAK7OjcJaYomSErqwRrr/I8ySKoyml5wwdO0V\nvWh0dQkwBIEFz3PIZJTlH7wMVmtlTxBYdHVFkEhIMAwTs7NyWcVyB9XBVY7OzsowDKf12NUVIQ6g\nhxWNzq7NZBQIAlfXe0hRFCIk9e35YM3puZBlFdGoAJ4h2JH4sDOpBaQ4tAvjiz1iX33Vm5Txxs/G\noRsm5Fl/nnqAQ2ZJCtxK1/IOWoPAED2KoohkjqIcuXo1M1wuKkWeAWRblV3dw4vMV0kVPRhegsLU\nqLoVRQ6WRfYMDCNYlkYsJiCbVRp2IlgtZI+inJue7u4oRJFDoeDMmimKvipn7poN23YuZrOzeRQK\nztxVd3e0bMB7WNBokgfMJxNlFcRiQl0ee1GSn975YNmsuHDsiCwInJcM6WZziB7JOHn04wyK2v1u\n2IsvvuyZMc3KKk6dvYnC3HlfnnoAUCxq4Hm2E4vWBggE0XPjzkhzRG7cWbUXskqRZ+4X8BJBiLGz\ne3FeLWlGz9K9MyEMQ1Vd0aMop4W5Wqp5NE0hkXC88kjRdvUgzGTP9YXr7o6BZWlkMgoyGaXhUVMd\nlIemmaX3nWVpdHff9x0ME5pB8lyYpoVcrohEonbblcgOgs1KNhs4mxUXsqwiwgueda1JFb11PRGk\n4ov3Z1o2rtxIl/6dSCRx9KhXDXz87VHYlgYl7U8RbNuAqjot6qVwAw86Vb1gIBBED0DZ1qwocjXN\nrpWNPHvUadvOFucwXbi36G8UKOzoHlq0RlLd2gSixzJ01RFokQgPVTUaTnqCikRCKinxmoGwkb37\nBC8KigLm5vJNIckd+IdLVubm8qAooLs7imiUHPbebmgmyXOhaY7Rda1K3HaxWXFhmhYYwii8YTUn\nw5yiKHIc2gKbFQB47TVv+3bkw1uYmSv49tQDnHm8crFotYxbddAcBILoOXcGJEsVdj7MvPoLW9nI\ns/5+AGS17WB8PWLc/ZBs27aJhsmm5iV6dJX2KjRNQRTrG05uJ8RiIkzTavrrDQPZoyiU7FFcgifL\naluaGIcVlmVDltV5wkeV7Fnale+tBMlz4cQ7WiVj4WpBUt8GlegBAGV7L7PNqugBwO4tXpuVhcbJ\nAHDo0KNYt279ojXLtvHGz66jmLvu21PPMCxYlgWe95JZZ06vigPvoGloOdGzbbvs/J0k1VbNKxt5\nNl/NA8hEb2nbtqiZ0Ja0k1mGgqF5xRhslVm30agARVkdebaiyIHjaORyXluaZqCdyZ47B8YwdIfg\ntQEWEj6GoZFKRYmtrCBjJUmei2y2OK9url6cQYpDK46NwpTlRhxaw8FRBDFGk2b0ALJx8q2ZAmaz\n98+/NE3j05/+jOdxx0+OOWk5Pj31AFeUQf7OF4sdq5UgoOVEz8nWJKRPMDQYpjZLlcKli57IMzAM\n4o8cAgBYtlVWiLEQpGpeMsrDNLzHxND+K3oMQ4PnmVVR2mYYJ5khm10Zkuei3cgexzFIpRxlZyaj\nIJcrdgheG8GybORyRWSzCgSBRSoVaZvvXavsibLZIqJRoepMXK6/H1zfmsWLto38xfMNPLrGgVtB\n1S0AJCI8NvbHPOtLq3okonfzTg6Xrt6tylNPVY3S9XopisWOKCMIaCnRs20nm9I0SZYqXE1KW6BM\n5Nk+J/IMAKZyN5HXF1fleJrDluTmRWuk+LNElIdpek+INOM/As3xkwq/UpKinLk8WVZbMlfWDmTP\nEaiIiMdF5PMqMhmlY27cxjAMC5mMgnxeRTwuIpEQG5b32mi0kuQBzvyaLKtIJMSqWt4URRHVt4Vz\nwUvJAED00dObNKPngjSnd3GJzcqGDQM4fPgxz+P+4eQYDHUWan7S9/7KzeqZpnON71T1WouWV/TK\ntWYFoTaiZxWLkM+c9qwv17Yd6toKjl7cRiBX9AQYhIoe69NehWFocNzqqObFYiJ03aipKtsoBJns\nSZKTQWsYFmZn8x0VbYigaSZmZ/MwDAupVJToN9ZKtJrkuVBVA7puIharLjmD7KcXTJsVnva2p5vZ\nugXIfnoXx2dhLSFcpKSMd07dQEHRka/CU69Y1CEI5du3HbQWLa7oAZrmJQGCwM57EFV/FyCPlIk8\n27e/9G+SrcrSti1QrqLHwTTLtG593LVEo7WZP7cbRJEDy9KBsI4JGtljWRpdXRHwPIO5ucKqEeSs\nRrgRazzPoKsrUpeHXKMQFJLnQpZVsCxd1WxjZMdOr81KLgv1RvBsVkit22aKMQBg+0AS3JLvWq6g\nY2p68Rzj0aMvIBZbHNFWVA28feoGCnMXYJn+zk2WZcMwTKIhdkeU0Xq07KzjuGeTv+yi2Ni2bfyR\nR0Bzzo9NMzWMZcY9j1kqxADKET2B2LplfNirsCwNlmVCH3XGMFRL5vIqIShkLxrlkUxKUBQNmYzS\nmcNbBbAsG5mMAkXRkExKLY2HChrJc+HM6/G+29y0IEDaucuznj/nvwq1UmAJrVvTbm6Xg2MZbB/s\n8qwvtVkRRREvvvgpz+OOn5z31Mv489QD7se+keB44XbOda1Cy4ieI8LwEh6apsCyNLHStxz0uTkU\nLl/0rCcefaL0/1fT12HYi09wST6OddF+z/OyeW81KhnloeuEih5DLau6jUSEVVG9iccl5PNa4Pze\nWkn2HEVmBAxDY3a20NJ2dgetgaoamJ0tLPourCSCSvIAlKyXqvHXI6lv8+eDN6dHat2aVPPff6Kf\n3hJBBgC89pq3fXv52j1M3cpAnvFPnDXNmM+l95L1YlHviDJaiJYRPdO0iEPnTjWvtotg7v13CZFn\nfRCH7psgXy6ThkH6EmbzXiKajPLk1u0yM3pONY8O/bxCJMJXtMxpNVpB9iSJQ1eXhEJBQzZb7NzZ\nrmI4UWBFFAoaurqksrYUjUaQSZ4LJ8rPRiTir+JJEmQE0WaFJMYwLKPpbfzdm71+eh9NZqAt+fx3\n796L4WFvR+v4yTGo8nUYWtrzt3IoFo2ySRlBu/FfTWgJ0atEBBretn308UUkjuyf553PA4AMoaKX\niPJEMcZy9iqRSPhn81iWhiRxK+aXVytWiuxRFIVkUoIgsJib61TxOrgPVTUwN1eAILBIJqWmVjva\ngeS5yOWKkCTOFwni+9eCW7OkExNAmxXSjF5RV5su0BlYE0NiyZiAYVq4OrXYeoyiKLz6qjcp48Q7\n12EYVlWeesVi+fZtx1OvdWgJ0aMoijifx3EMLMuuifkvF3kGABk1i5v5257H7EiVI3plfPQIM3os\nW95ehWGoeaVtMKtcjUI8LiGXaw+D32aTPdcXT9dNpNOdWbwOvLAsG+m0AsMwm+a7104kD3D9CFXE\n4/5auNG93qpe0FIySBW9oq6B5xln5KdJoCmKWNVbOqcHAC+99ApYdvFxprNFjJy/ifyMf08907Rg\nWTbxu6yqnfZtq7DiRM+2bei6uSLeeQsjzwByNW99dC2SQtyzXi7+zKnoeY+xUkVPkvjQk7xolIdh\nmDXNVrYKzSJ7ksQjkRCRyxVXxUxmB/Uhn9cgy873sJFVnnYjeS40zYBhmL5EK6Q4tELAbFZ4oo+e\nPp8o0dyqnt85ve7ubjzzzLOe9eMnx2Boc1Dz/tXM5ap6pukocztVvZVHSyp6pGoeRQEcx5ZV4laC\nbVnIvl858gwALhGI3i6C2hYACqoBYwkZ5TkaIs+UVd2SNOQ0TUEQaotyaxe41ghBsFKpFo0me/G4\nWHnEfdQAACAASURBVGrVttPFtYPWQtPMUis3Hq/OU46EdiV5LmRZLVk0VYK0YycobjGpMHM5qDcm\nmnl4VaFcMoaiON5zzTTUJsWhTU7LxG4VqX176oOPMZdRkK9ClKGqOnieJZpgB3V2O+xoCdEjiS14\nnoWu1+a340SeLRkYXRB5BjgVuiuE2LNy83nEal6EB0VR5Bk9hoYN712kW6UM811MPC5CltW2fY2N\nIHs0TSGVigAA0ulCp1XbQdVwWrlOYk8qFamZALQ7yQOc87Usq8saKdM8D2kHyWYlOO1bUutWM/WS\nxVgzBTmpuIANvVHP+kVCVe+xx55A35JoOdO08ea74yikL/r21LNtQNcN8LxXbVyr0LKD+rCiRM9t\n25IIgShyNQ+rZ999x7O2MPIMAG7mbyOr5RY9hqUYDHVtIW4zIxPm82JOmd0wSBU9ytO5pShAFMMt\nwohEeFiW3fZCg3rInmuAXCzqgReidBB85HJFFIt6TQbLYSB5Lhyj3eVVuCT1bdCJnjEfgVYoaBBF\nvqoIuGpBqupdJMzpsSxLzL89fnIMlqmikL7ke5+qSlbfVuIAHTQPK17RI5VuKYoCyzI1kQWrWIQ8\nUjnyDCDP523r2gKeIZ9EsoTZqsS8dQh5Rs9rryKKHDTNCG11h6aptlDZ+kUtZI/nHdWkLBdD3Z7v\nYGWhKDpkuYhkUiJWRkgIE8lz4apwK1U3o3u8RE+d8p/T2mzwDCECbT4Zw7KcLNhqUkGqxZ4tBEHG\n+CyRbJEi0SZvZvDR2ExVkWiqaoBlGaL4otO+XXmsONEjkTlBYGse4pfPLB95BpBjz8q1bYFyFT0B\nFmHIl6Yo50S0xDDZEWGEt5oXi4koFPRQEdlqyJ4kcYjFBGQySientoOGQ9NMZDIKYjFh2fZeGEke\n4BChQkGv2MKlOAIRDpC6k9i6XRCBpihaU0UZOwZT82LB+0jLGm7OFDyP3bhxEw4efNiz7njqjcNQ\n/XvqaZpRNhKtg5XFihE9Zx6B/AELQm0iDGD5yDPACZC+lr7ueVxFolfGWoU0n0fPS+QXRqDxPDOf\n/xcc9Vcj4VoDhJHI+iF70SgPUeSQThdC+xl30HoYhoV0ugBR5MqqUMNK8lwoigaGocDz5N+ikcl6\n1thkstmH5RsMxYDCYqJl2RZMy/msDMOxJCn3+uqFwDMYHvC+HySbFYAsynjr/XGoqlF1VY9E9Ny/\nddq3K4cVreiRiJ4TecbUVBEx0nMoXKoceQYAY5mJUqncRYyLYiC2vuy2y1mrkFIx2FKU0f0v7mqo\n5rWjytYvKpG9WEwAx7Edf7wOVgSu3x7HsYjFhEV/CzvJc1FJmGFmM541rrev2YfkGxRFlVXeumh2\nVY84p0cQZADACy8cQyQSWbSmFA387PQk5Fn/nnpOJBpDbLt3qnorixUleqT2rFPNq1GE8f57y0ae\nAeS27Y7UEGiq/MuvpqJXKovPHwvDOHFnYf0yRyI8dN0M9YUFIJO9eFwEw9DIZAqdO9IOVgy2bSOT\ncXJyXfuV1ULyAJTONyRhhpnzVvSYRGIlDss3yF56968Pzkwb3TQD5T1bvETv8o056IRuhCRFcOzY\ny5714ydHYWrpqjz1yrVv28lvNQxYEaLnKm1IEASusW3bJZFnAHCZaKtC9s8rbbusWbL3ddBLKnqS\nFF7fPEeAwSNPiIcLIxaSvWRSAk1TyGSUmmyAOuigHtg2kMkooGknWm+1kDwX+bwTG7a0QmRkCa3b\nRHBat0B5i5WFaKaB8qb+OKLiYsKl6RZGP/ZWQwHgtde8ooxzl6dxazqH/MxZ3/stFh2vQBI66tuV\nw4pV9Mq1bRmGrulEpU5OQiMoqxKPPrbo37KWx1TupudxuyrM5wHknNtk2dbt/IyebYOiHPIaVmVR\nNCpAUbRV1bLUdROGYYHjmE7SRQctR6GggeMYGIa1akge4LSwFUVDNLq4fW0SiF7QKnocXV5568Il\nRc3QkdA0hV0+UzIAYN++A9iyZatn/fW3x6ry1NN1EwxDd9q3LcaKED2KooilWp6vXW2bfc/rnSdu\n3Qa+f+2itStzVxeJJACgP7IGKbGr7LYt20Y27yVqibKtW/dttCAIHHQ9nJYqLEvPZ/auLrLjtsoy\nGaVp2bgddOAHbrs2k1EAoCEpGu0ERXFI7kJ/QWLrNh4worfMjB7gEFldN8pWwOrFHkLubbk5PYqi\niKKME29fh2FU56mnaWTzZE0zOtm3K4QVIXqGYRKJT63zeWUjzx573LNGij2rpLYFgLyiw1pSUhZ5\nBgJXJv6MvT+jJ4rhbdtGowIKBW1VtS1jMaHUrm1WNm4HHfjB0pk8t427VKARZti2U9FcWNUjtm6T\nASN6ZfJul6JcTmwjQMq9Hb+Vg1zmevWpT30aDLP4PHdvroAPLtxGftZ/+7ac+tZxpVg9FelWoulE\nr5ytCkUBLMtA16sneoVLF2GmSZFnhz37JhklL9+2JQsxAFQwSwYo2imRh7GdwvOOeiqsLWkSolEe\nLMsgm1VKax2y10ErUE54kc0qYFmmrPVKGFEs6qDp+3YrJNUtE7gZPUJFy/SeSzXNLI00NRq9XRL6\nU9KiNRvApYk58uN7+/DUU0971h1PvQkYKvl5S6Hrrnmy928dm5WVQdOJHkVRRKLHcSwMw6ypOpR9\nzyvCiD6wb1HkGQBMF+5ibonBI03RGO7yzh4s2n4ZIQZQLv7MeRs5lg4tEYpGhVUjwAAcQQ3Ps0Th\nRYfsdbCSqKSudQUaPM82NTM1aMjn1VJVjyzGCFhFz0fr1kUzq3q7Cerbcn56ANlT770zU8jKKvKz\n/mLmbNu5bnIEY+tO+3Zl0HSiZ1kWTNMr4a61bWupKjnyzGfbdktiE0S28lxL5YoeYUZvXozBsuGs\neAkCC9vGqkl/cC6a/DzJI9+JdMheBysBPxYqjvWKAknifceltTs0zSkS8CwFS5Y9f2di8RYcVXks\nZ6+yEA7Ra87nuJckyLhOjkMDgCefPILu7p5Fa4Zh4a33xqvy1CvXvnXMojuG881GU4lepTSMWoUY\n8shp2OriyhIdiSC674DnsZfnvP55y7VtgTLxZ/N3j5UMk03TCqUIIxJZPXYqLEsjHheQzS5vhtwh\nex00E9X45FmWjWxWQTwuLBIqhBn5vArO8OZs09EoKDZYhJc4o0do3QIoJSo1g7Tv2JgCvaSCNpMt\nYnpOIT6e4zh86lOvetb/4a1RGOocVHnC134dQQb5HNlp3zYfTT8jkNu2TM2kiNS2jT98aFHkGQCY\nlomrc2Oexy4nxACALMFCIxF1tk+MQJuXjut6WKt55X0QwwSappBISMjlir5jzTpkr4NmoBYzZMOw\nkMsVkUhIRDuLsEHXTWhz3uzVoHnoAf7FGC6a1b6NiCy2rve2tcvZrADAq696PfWuT6YxNjHnOxLN\nsmyYpk08R3ZsVpqPphM90kmq1mqekZ5D4eIFzzqpbXs9ewNFc3EVSmIlbIwPLLsfYkUv5lb0vK/H\nreiFUUHkzOatDjuVZFKComhVt6g7ZK+DRqKexAtNM6EoGpJJafkHhwDynRnPWtA89IByM3rlr4Gq\naoDjmKbMr+0m2KxUmtPbtm0I+/bt96z/w8nRqjz1ytmsrIYiQqvRNKJn23ZZMsfzTE1Ejxh51tsH\ncchbpbtMjD3bBoZe/kJMrOhFlp/RC5vviCCwMM3VYcoaj4swDKtma5wO2eugEWhErJmi6DAMa1V4\n7KlzXuVn0Dz0gDIzemVaty7KxYfVi71bejxrl2/MwawwK0cSZfz0vXGoahGFtDdvnoRK7VtN67Rv\nm4mmVvRIlRGapkDTtO/W2EIQI88e80aeASDaqvhp2wLlKnqViN7iCLSwIBLhV0UShCTxYBgauZx3\n3qcadMheB/Wgkdm1uVwRDEM3LVIrKGgHxS1Qxl6lQusWAFS1OaKMLevjkITF5ydFNXH9Zq7sc44d\newmiuPjGIV/Q8d7IpO/2rWFYoGlySsZqEfq1Ck0jehRF9pPjuNq88/xGngFAQVcwnvU+dtcy+bYu\nSBW9iqpb+n4EWljA8wxsO/xldY5jEIlwi7zy6kGH7HVQCxpJ8lxkswoiES7U30Oyh14AiV4V9iou\nNK18fFg9YGgaOzcS2rcV5vRisRief/6YZ70WTz3S91HXzY7NShPRNKLnDF96q3bOfF71JzK/kWcA\n8NHcNU/sWa/YjV7JW7JeCsuykSMQvfh865aYjBHCil4kIoQ+6oyiKMTjzsW1kWrpDtkLBr72td/F\n5z//aTz55MMYG7vW6sMpi2aQPGD+XJYrIh4XQ3sRNbPeKlQYxBguytmS1IvdVeTeunjtNW/79oOL\ntzF9Lw/ZZ1VP00zinF5YHSuCgqYQvUrzeRxX/XxeNZFnAHBprva2bY4Q8RUVWXCsK7ggJGO4RM8O\nhx8QxzkpGGFXQyUSIopFvSlVyw7Zaz2eeuoZfO1rf4i1a9e1+lDKolkkz4WmmVBVHYlEOOf1jDap\n6NUyowe4RK/x6tu9BOPksY+zUCqc8w8efASDgxsXrdk2cOKdMeR9euppGrmi5/4tTF2xIKFpFT3S\nScslRNUyd7+RZy7I83n+2rYks+TEgnghsup2vnUbkoqeJIV/Nk+SOFAUmvo6O2Svtdi//wD6CRX/\noKDZJM9FPq+BohDK5AyTMKMXRKJHat0uN6MHOOcQhqHuC/4ahDUpCT1LyL9l27hcJg4NcDogn/60\n12rl+Ntj0ItpqPL4svt1r/2kiLewjwm1Ek0heuXm82pW2xK884T164kq13vKDO4piyX3FCjsSG3z\nt68KqRhAOR+98LRuaZoCx4U3yg1wTjKRCI9stj7xhR90yJ4DiqIWZXjSNBXadqIfrBTJc5HNFhGJ\n8E3JUG0ljJyX6HFdwWvdsgQxRiV7lYVoRlWPoijs2VLdnB4AfPrTr3l+t9P38jh3+Y5vUUY59W1n\nTq95aIp9eLn5PI5jqyYQtm1DPv0Lz7o6OYnR//V/hrR9B2IPHkTswYfA9fQQY882JQYR4SK+9rdc\nRS/s9iqSxKNYDH/LVpbVFZsJWUj2VurCvpKgaQosS4NhGDAMVVLWMcx9Mmfbzm/ZJRpdXRFQFFUK\nOrdtx1DVsuz52EQbpmnORyS1/+9qIVaa5AHOOVmWVSQSIubmCiuyz2bDtiyYOe+MXnxNL5SAncJq\nbd0CDtGLRoWGdx/2bOnBWx/cWrR2YbyyqKK/fy0ef/xJvPPOyUXrP37jKg48sBndtr0sWdN1E4LA\neays3Dm91WD2vdJoONFbbj6vWgsLW9dha2W+4LYN5cplKFcu4+5ffBvCps0orGeQ6jYwl7z/0vzO\n5wHkit7yrdvwVPREkcPcXL7Vh9E0RKM8TNNa8fnDsJA9inJ+x+5/DMPMkzQLhmHNEzMTlmXNkzbv\nb6KvL47Z2cXfMcd2aSFJpMHzTgWKoiiYpgldv/9fu95TtYLkuXAH+6NRPhQm6FahACw5H9OCiEgy\nCmUmWOewWsUYgNu+dX4Xjbzp2bUpBQqLr1p3Zgu4l1HQW8Fw+6WXPu0helfHZ2GbRRjaHDjBO/+3\nEJpmIhYjz4y63oGdyl5j0ZSKHukExrI0LMuqetiS5nmI27ej+JHXAHkp1IlxbJkAtgCYTTAYHRAw\nOiAgty6H2/k76I+sWfYLRKroLdu6ZcJhryKKHHTdCF0FxQXL0hBFDrOzralotCvZY1kaPM+C51mw\nLF0iW/m8BsOo/jdNwn1S6O0EUJRTMeQ4BpLEI5FgYBgWNM2Aphk1eXK2Aq0keS5yORXd3RGoavu8\nb+VQToih6xZEkQvU+EmtM3qlx86nSjTyNcUkDpvWxjF+e3FV9OL4HI7sL0/09u7d61nLyaqTbS9P\nLkv0bNup2rOs10/XqfYFK6c4DGj4O1rZP6+2k9vA//K/4c6f/QnkMyOwNXX5JwDozprovljAIxcL\nyJ38IU4OvI67Q31Ys+chPLBmL4a6thBTMsgzekLp/03TS/TuV/Ta+8QpSRxk2d/7246IxZyWbSsJ\nebuQPZalIQhc6aSrqgbyebUlx+tmLS/cN8cx4HkWiYRUOj5V1RddOH73d38HP/3pG5idncFXvvI/\nIpFI4lvf+u6KH797vEH4zG3baeHGYiLS6fZu4ZYTYiiKhlhMCBbRq6N1C7iVrsaT1z1buj1E7/2L\nd3Bk//qyzxkY2AhRFFEs3u/OKUUDM3MK4r1TQI83Lm0pdN0ExzFEotep5jUeDSd65efzmJrbZbQg\nYN0/++9hWxaKo9cgj5xG7sxpGPfu+Xp+XLGw/6oCXL0B5fVJXNrwY/z9phjie/dh99q92NOzE9H5\nGb6aZvTo9p/RY1kaAJmkhwGSxDt3nAGwjAkq2aMoQBC4eXUmBVXVkckoxN9zq3G/qqiCYWgIAot4\nXAJgQ1F0qKqOr3zlN/GVr/xmqw81MCTPhaoaEEUOksS3tVdmOaLnvMcUsWLUKvBEMUZ1RK9cu7Me\nDA94hSt3l5nhZBgG27YN48KFc4vWxyfnsG69N6iABLdy15nTWxk0lOhVms9jWabuahFF05CGt0Ma\n3o7eL/wy1MkbkM+MQB45De3jKV/bkDQbu68Xsft6EfrJE5hY/w7+eFCEvWsIuzbsw5ymY6kYObnM\njF4YlGxBa3U0EjRNIRLhAzV7GCSy50RlcRAEDppmQJZbU7mrFaZpoVDQUCho4DgGosghGhWgqjoU\nRW8pUQ0ayXORyxWRSkWgqnrbjmpUij8rFnWIYnA6FORkDP83nbYNGIY5HzjQuJtV3fB+9l1xgfDI\nxRge3u4hehNTGTy8fxqWUQTNVialum4iGiXvpzOn13g0vKJHOpm57LyRJxSKoiBu3ARx4yb0vvoZ\naHfuQD47guzpU1DHxuDnK8KZwNCkiqFJFea7pzHVfw4bBwVow0lki+thpdfAynWhOG/kSFFUxaxb\nu40NkwUhvCKMWMxJ+QjaBa3VZI9haESjPDiOgaLomJ3Nt/2cqVvpoygKksShq0sqzROuNOELKskD\nnHOxouiIxYQVsRlqBkyCtQozn4qhqjpSqWhwiF4dYgwXri1JI4lennBz359a3qFieHiHZ218ylHs\nqvlJSMnKAkj3XEwSmHTm9BqPhr6bDhFq7HyeX/D9/eg+9iK6j70II51G7swIZk+/C+Oja6B8XOAZ\nG9h0W8Om2xqeRQ63em9jdEDAteEY/sN75xA7OYCD63Zjrsg7Pa4FF8T7ZpbteZEUBBa6bgaOCDUC\nHMeAZZnAXsxaQfYcgieAZWkoihbY96Ye2LZdqvJJEodkUoJhWMjn1RUhfEEmeS4KBQ3d3dEVOT83\nAyQxhlvRsyy7RBiCMK5R74we4BC9ZDICoHHkVVa8xxCLLO/ZNzzsDSAYn3I+Dz9ED3AqlKSRLsPo\nzOk1Gg1v3ZJmIpyhy5U7kbBdXUg9exSpZ4/CLOSR//ADpE//HMr586D05X/0FID19wysv2fgqbN5\n3Ou6h9GBq7jCv4s7A304+D/8T5i7dA8zV84je/vSgnmC9iRKouj1NAoLYjEBshxsIrNSZI+iKESj\nPASBRT6vIZsN52e+FIritHDdCp8jLNGaVr1sB5LnQpaLiMWEtvTWI87oxe+nYhSLzmceBKLHl2nd\n2j5851yYppsqQZX+v17IBQLR85GgMjTkJXpTtzLQDRNq3t8YlSvI8BI9q6r3pYPl0VCiV+5OmeOY\nls1/MZEoEo8+jsSjj8PSNBQunEd25BfIfXAGVEHxtY3etInedAGHzxeQiaYd25ZDAj4+uhv63BGM\njOZx8Y9u4vDwCbzy6gA2bNzXNl9S1+y2ke2AoEAUOViWDU0L9sUWaD7ZkyQOkYhjhu20aBu6+baA\nougoFnVEIgK6uyMoFLSG3+C0E8kDHE8zSbLbckZ3ufgzTTMQjwsN95+rBTRFg6EYmPb974QNG4Zt\ngqP8X4Y1zQTHsTCrrAaWA6miF/VB9Lq7u9Hb24d79+6W1kzTxtStLLbyH8O2TVBU5SQgXTchiuR9\nmaYFll29SUKNRsOInmuBsBQU5USEBUH9RPM8Yg8+hNiDD8E2TSgfXUFu5DSyI6dgZ7wnDRKSeQsP\nXVHw0BUFBTGD0Q23MTokYPJQFGdzfXjnu6/Dnvw2DmwU8KlPPIcde58ETVBcBQWCEIw73kaDohxz\n5HTaH5kPAppB9hiGRjwuwrZtpNPBVNCuJGwbyOdVFIvOfJogcMjlig15X9qN5LnI51UkEhJUVW+r\nGwBS/BmbWKwidePDgqAu5mjOI+bTTR1cFdcHXXeECo0i5SSiF/eZiTw8vH0R0QOAiak0tgymoCl3\nIETKW7QATuWOpumlk1AA7ptEt0vBJOhoKAMhkTmWZYhK1VaDYhhEdu1GZNdurPnSl6GOX58nfb+A\neeeOr21EijYeGC3igdEiVDaL8Q0zGB0QcH2vgNFiDP/27bMo/ulxbE8Y+OQzj+CRx14Ex/uLYlsp\niCIbmIHlRkKSeGia2XbEppFkT5J4RCIc8nmt7ao1zYZpWshkFIii084tFPS6yEC7kjzAOW/ruglJ\n4hses9Us2La9bEUPuB8fFgiix7AoLvlqOIKM8ubES1EpVaIWEGf0fBO9HXj33XcWrY1PpoHHAFWe\nXJboAY6LBct6Z0SDUBgKExpG9MoJMRwn/WB/aBRFQdyyFeKWrej73Oeh3rwJ+cxp5EZOQ5sY97UN\nwbCxY0LFjgkVBg1Mrs1gdFDA2HMC7loJfOP6JH7v+O9gnZHHC4/twDNHX0Uk1tvcF7YM3Dumdrsw\nLQdHcRksO5VqUC/Zo2kKiYQE27YxN1doedsqyCgW9fkWnwhBiCCbVap+v9qZ5LnI51WkUlEoit4W\nymtbLXqiMSmWBS0tJk26bpYi9Vp900fMu61SeVspVaIW1Ef0vHN6E1NpAICWnwRweNlt6LpVSttZ\niI4go7FoaOu2XEWv3ea/hPXrIaxfj56XX4E+O1Py6lOufgRYy/+4WAvYclPDlpsaLCqHm32Z0lxf\nlpfwg9kMvv2f/hDx2TSO7FuHY8deRXfflhX/YgdFkdZoRCJcW/uDAbWTPZ5nEI+LTZk/Cyssy0Ym\no0CSOKRSkare7zCQPMB5D1RVL1WAgw6DMGrDJBLEc6ib8dvKaqVpmTAs7/djLD2BXqmnqm1pmuOn\nZxj1v556K3pLMT5P9NT8pC9BhesNCOhL1juCjEaiYUSv3N0Sy9IoFIJd0asErrsHqedeQOq5FxCh\ndNx99+dInzqF/IXzAMFTbyloGxiY1jEwrePpERl3UixGB+cwulPATIzFWzkNP/7O98DcmsMjG+P4\n1LFjGNz6ECiq+SbMznxS+8yw+QFFURDF9q3mLUS1ZC8S4SGKXNuTjlZBUZwItXhcRLGoL0sMwkLy\nXBQKGlKpKAqF4Ff1KnnoLYWq6qWbn1bhB6M/REbzHvON3BQOrXuoqm3pugFJ4pd/4DKwbJvoo+dH\njAEAW7duA8MsHs2amVOQk1XEY4CpZ8DyXRW3YRgWIhHyta4jyGgcGkL0ygkxAASiZN4oSN0pxB57\nAtFHn4BVLCJ//hzkM6chf/AB7KI/wtQ/Z6B/zsDjH+YxF2cwOijj2oCAO3tZnFMsnDrxBsw/+QF2\nxim88vwR7N7/NBim/h/1Ujht2/DNQkQifNtX8xbCL9lLJETQNIV0utOqrQe6biKdLiCREMGyYlmP\nwbCRPKC9qnqVUjE8jzUsUFTr2rdnps/hxORJ4t8O9O2tenu6biIer58AFYqGRwQhCcyC7PbK4Hke\nmzZtwdjYtUXrE1Np7N3ZD1WeBNtdmeiZplU2WUrXrY4go0FoWEWvXNs2LESCZWlYllX6YdCiiPjD\njyD+8COwDQOFyxchj4xAPjtCHBImIZUz8fDFAh6+WIAs0RgdkDE6KODjpzlMGQJ+7+IZFH/0NgZM\nDS899SAOP/4SeCHWkNfT6CidIICiHEuVMFTzFqIS2aMoIJmMwDSttlIYBxmW5SiU43ERXV0RZDKF\nRRfEMJI8F/erelqgFbgmwSx5oYfeUjipEuyKizKmC3fxrUvf86xToPCF7a9hKLW16m3aNhoyp0e0\nViljd1IO27dv9xC9cZfo5acQ7X5g2W0YBvm1ODP/wXWsaCc05F2sJMRYSaPkZqKSezzFsoju3Yfo\n3n1Y8+V/hOLoqFPpO3Ma+t27xOcsRUyxsP+qgv1XFRR5CmMbBIwO5HDjER4ZmsG3Zsbwh1/7Krpz\nBTy/fyuePfoKYsm1Nb8exzQ3XGpbUeShaUYoK1okskfTFJJJCZpmBL4C047I5YqIRvl5sueINMJM\n8gDM+04aEEU+EErVcjBzOc/aUsXtQrRCfauZOr5+/lsomt6q8GtDL+HIwGM1b1vXzboLKfXM57lw\njJN/uGht4ZyeHxgG+bV0BBmNQ8Nat+USMcJyMvQrKqFoGtLwMKThYfR+/ovQpiaRGzkN+cwItCl/\nX3xRs7H7ehG7rxehM8DEOgGjg3lc3yNA5Wn8nXwbf/Xn34BwT8bjgz146ZOvoLd/u+8fhdvGCMtn\n40KSOGQy4a1qLSR7sqyWLlwd0UXzkM87GcldXRHk82opGzZsv52FKBQ0JJNSoIlepfgzEhb6sq3U\n/OF3P/oBPpZvedb39+7Bc4NH6tq2rjsihnpsk4ipGD7izxZi+3aCIGPSIXq6cgeWqYJmhIrbcCp6\nDDqCjOahIUSvXByLm6UZBnAcU3UFjKIoCIMbIQxuRO+rn4F2dxryPOkrjl7zukSS9msCQ1MqhqZU\nmFQOH/dzuDZYwNiggPwOBu9rGbz1k78CbhawNyHitU88j81Dj1R0JReE9lNCLwdBYGGaVmjmQctB\n103Isop4XOyQvBWCouigaQrxuIhcLtwkD0DpdxRkVT7ZQ48sxnDhtG+9kVvNwLs3T+HdW6c8671i\nN7686wt1kxfDMBGNViZQy6FxFb3FuPFxBpZlg6YBNT8FKbGt4jYMw4RUZr+maYNlO0SvXtRNui9/\nSAAAIABJREFU9JxqXnkhRhhm9GiaAkWh7pYg37cG3cdeRPexF2Fk0pDPnoU88gsULl8CfJhKMzaw\n8baOjbd1HD0l41YPi9FBAaMDAtKDLK6aBn575HXof/NDbLYpvHbkUex98CgYdvEJgeeDewKvFY7Z\na7ha0STQNDVfydMhihw0zQw98Wg1OI4p5UFHowJ03QzleMBCKIqGSEQI7HmCRPQqVfQAh+itBHmd\nyt3Ef/no+551lmbxGw/8GiKcf4PkcjBNez51qvZ4t0YQvXXr1iMWi0GW5dJaUTVw556MdWviUPOT\nPoheeUGGYZhgGKpT1asTDaroeckcw7Q+X7BRaEYLmk12oevpZ9D19DMwCwXkz30AeeQ08ufPwVb9\nEZZ1MwbWzRh48mwe95KM49U3qOLufhbTFIX/9+YpqD9/Hz0FHS8d2I0nn/oUeDEJjmORy4WHFLEs\nDZqm2iLTth5QFIVkMlKq5GmaEep5sSBg6UyeZVlIJiNIpwuBtyCpB04CA9UwY95Gg6S6rTSjBzjV\n8EamSpCgGEV84/y3oFteMvmF7a9iML6hYfvSdRMcV3uFshFEj6IoDA1tx9mzI4vWxyfTWLcmDi0/\n5Ws7TgXQyxnC3qFZKTSR6IXHVqXZJzsmEkHi8GNIHH4MlqahcPGCY9L8wRlYC+6UKqE3Y6I3U8Dh\nCwVkozRGBwRcG9RwawcHhabwPfUyvvXn1xCd0/Dc0CY89/TLiHc17qTTSkhSsAfHG4Vk0skjddu1\nzcjG7eA+SMILRdHnCbeEdLrQ4iNsLhRFgyTxyOXIFjOtBFF1uwzRs6zGpkoshW3b+Pal72Fauef5\n2+G1B/H4ukMN3Z+rVvVZF/CgEUQPcIyTlxK9iak0Hjs4CDU/Bdu2lvWFdTzzaM/Nelg4RKtRN9Gj\nKKos0QvinWAtYFlmxYgEzfOIHXgQsQMPwjZNKFc/cub6zo7AmJ31tY1E3sKDVxQ8eEVBQaAwNuC0\ndycHeZibKfy9OYa/+9E3QE9reDCRwGePvYy+dbvbsjxOUU4rWpaDdzFqJOJxEaZpeUxfO2SvOaik\nri0UNDAMXZrZCyuKRR3d3QIxdL6VsHQNlrJEdEVRYKLLW081MlViKd6cegdn7p7zrK+PrsUXd3ym\n4edXZ7atdo/VRhE9oiBjXnlrWxp0ZRp8pLJDxP32rZfoteN1KWhoYkWPCY21SqvaFxTDILJzFyI7\nd6HvV34V6sR4Scyh3brpaxsR1cbe0SL2jhahshTG1/MYHRQwvt6A3k/jQ/sezrz/PZi3TGxleHz+\nqacxtPNxUHR7+BcJAgdN8xp/hgmRCA+GoctWkDpkr7HwY6GSyxXR1RVBJMK3NHGhmbBtd66Nq0vd\n2WgYM94bXiYeB0Uvb/TbqFSJpRjLTOC/Xvtbz7rA8PiNvV+G0ATTe7eiVysaRfRIggxXeQs4NivL\nET23okda76B+1H01tyybeJF1SsrBOTnUCpqm5g0qW8skKIqCuHkLxM1b0PvZX4J26ybkMyPIjZyG\nOn7d1zYEw8aOGyp23FBh0MDkWh6jAwLGBiwoO2l8DBX/Yfzvob97HGs04NUDB/Hwwy+A4SJNfnW1\nQxS50PkBLgTPs/Mm0JXbhB2y1xhU45OXyShIpSIwDCt0KnYXxaIjQAkC0StOjCP9xgnkfv6e52/L\nKW5daFpjUiUWQtby+Mb5b8GyvaTkV3d+Hv3RNQ3dnwv3mlSrICPfMKI37Fm7NZ0rZQyr+UnE+x6p\nuA3TtCASzJrday9Nd6p69aBuoleOcYeldRvUdA9+3Xp0r1uP7pc+BX12FvLZEcgjp6F8dAWwlj9e\n1gK23NSw5aYG61QON/u4eTGHidwWBhkAfyq/h69/dwSxjIWjW7bhhadfgRipLoC7mWAYR4QRVlLj\nWHoIyGQUX4P/HbJXH6o1Q7ZtG9msgmRSwtxcOJW4rjF3q2auLV2D/ItTSL9xAsWx0bKPozj/BMU0\nrYYJ7Czbwp9c/A7Sqndm8OmBJ3Cwf3/d+6gEt6pXixAt1yCiF4/HsW7detxa0GWybcdmZXhrjy/j\n5ErKW9O0QNOdzNt6UBfRs22b+ON3eup2KFRp7ZDuwXV3I3X0eaSOPg9TliF/cBbymdMoXDgPW1/+\nTpy2gYFpHQPTOp4ekTGdYudJn4CZtQa0dRR+ZF/E3/xoDNw9Cw+l+vBLz7+KRGpTS+cnguzz1Qg4\nXnl6VTcaHbJXG2pNvDAMC4qiIx4XQ2vW7VZmVrJFrd+7i/SbbyD79kmYsjcFYynYeNz/tufVqo34\nbfx4/HVcmv3Is745sRGfHXq57u0vBzcho1qiZ9t2wyp6gDOnd2vJONH4VBrDW3tgahkYWhYsX14s\n43IFkqG129btzOrVjroreuSM2zApbplAtC38gonFkHziSSSfeBKWqiJ//kPIIyPIf3jWO8BcBmvm\nDKyZM/DYuTzSMQbXBh3Sd7vHBlIURvAxTv3s67CngWEuii8e+QQGNj64rLKq0RBFDtlsOC+ukYgz\n01PLxbVD9qpDvbFmbpJEWOf1VFVHIiE1/bXZloXChfNIv/E68uc+9K8AoWl0Hfuk7/3oenmD3mpw\nafYj/PD6cc96lI3gn+79VbArMOdsGBZEsfr9KKoJc0kFmudo8FxtlbOhoe346U/fWLTmCjIAZ06P\n5fdU3IZL6Jb+BsPCJVqJprRunTJ/+1fzgPYmrbQgIH7wEcQPPgLbMMDeGsfNn74D+cwIzIy31UBC\nl2zi4UsFPHypAFmiSwreqX4b1mYK16Hht6/8JYy3v4+1OofPPPQY9u95BnQTho8XgmVp2Db5RqPd\nwTA0JGn5ubxK6JA9f2hUdm0uV0QqFYGqGm17vigHJ4qqeaI0U5aReeckMm+e8J0NTksSInseAJtK\nIf7wI5C2Dfnen66biMfr89ObK6bxJxe+Axve69w/3vPL6BZTdW3fL0zTAsNUT85kQvGi1moeQFbe\nTiwhetHU8kSPFM0ZxnP8SqMuolfOWoWmyevtiLC8Flbgkdi3D+bgENZ86ddQHBuFfOY05JER6Hen\nfW0jpljYd1XBvqsKihyF6xt4jA6KmFjHg1pnYgYa/r+7x2F+/y3EczSe27YTzx9+BZzgv63iF07b\ntn0qrdUgHhdLGav1oEP2KqNRJA9wBsbzeQ3xuBhKfz1V1SEIjbUlKV4fc8QVp973NWICAMLGTeh6\n9ijihx4FLdQWAWbbNizLrnnu0LRM/NGFb0PW856/fXLzc9jTs7Om46oFDjmqvqVJbNsSxBB+MTzs\nJXrXJ9OlrFo/xsnOLJ73tXQsVupH0yp6YVChhcn02ZlJcV4LRdOQhoYhDQ2j95e+CO3jKcegeeQ0\n1MkbvrYn6jZ2javYNa5CZ4CJdY6C9/oGAWq3BqUb+FvjLP767y+An6NwsGc9PvfUa4gl1jfk9fA8\nG0oPM1HkYNt2w8YFOmSPjEaSPBfFog5RdFTS7TTu4QeaZpRuQOqBpWnInXof6TdO+HYLoFgWsYcf\nQdezz0Hcuq0hF313Tq+W8/sPRn+IscyEZ317aggvb3mh7mOrFm4lrJrXkisQiF6kdqK3ceMm8DwP\nTbv//cjJKuYyRXR3SdAKt2CZWsVOj2la4HkvJQnLNbiVqIvoWWXUnfXk7wUJYSJ65UQlFEVBGBiE\nMDCInldehX73rlPpOzMC5dpVX3MynAkMTWkYmtJgUTlMreFKGbz5KGBGgZ9jHO+9+3ugZhgMC134\n4hMvYl3/nppO2m72YdhK+k6OLY90urFzhx2ytxjNIHkucjkVXV0SNM0IxTnQhWE4VRWGoWoay9Hu\nTiPz5glk3j4JK++thJHA9vSg6+lnkXjqCNh45dSLamEYZk0edGenz+HE5EnPepKP47/b8yugV3hO\nGaiN6DVSiAEALMti69YhXL58cdH6xFQa3V0SABta4WOI8S1lt1HJRsWyLNA+fBI7IKMuolfuBx8W\ngtTO83lL4VdUwvX1IfWJTyL1iU/CyGQgf3AG8sgICpcuAObyF0XaBjbe0bHxjo5nfyHjVg9bIn3p\nBAustXANd/Gvz/8Z7Lc5rDVEvHbwSezbdgSUTwk9z7OhqBgvRSTCo1jUm/Kd65A9B80keYBz0S0W\ndUQiPGQ5XP6OmmaA59lSBN9ysC0L+fMfIn3iBAoXzvkWV0T2PoCuZ44ium+/LxPkWmAYJtG3rRKm\nC/fwzUvf86zTFI1/svfLSPCNH1Hxg/vxYf6f0yiz5IUYGhr2EL3xyTQe3LsOgDOnV4nouYSV/Dcb\nHZ5XOzoVvQoISwsaqG2Qmk0m0XXkGXQdeQamoiB/7gPII6eRP/chbJ8Bi+tmDKybMfDk2TxmkkzJ\ntmU6xYLq1jENHX84+SNYl/4B8TyH57btxdGHXgLHRstu07nYhEvdyDA0BIHF7Ky/akctWO1kr9kk\nz0WhoKG7OwpFaQ5pbxU0zZjPla5M9MxcDpm330L6p2/AuOfNfSWBjkSRfPIpJJ9+Fnx/fyMOtyKq\nTZXQTB1fP/9NFE3vuMir217EUFd5AtNsGAa55VkJjfLQW4hKUWgAoC4zp7dcRQ/oeOnVipqJnuOh\n5yVzYSF5QKcyuRCMJCFx6FEkDj0KS9dQuHgR8pnTyJ8968vnCgB6MiZ6MgUculBANkKXKn03+zjQ\nMQP5mIH/Jp/CD46fhpBhcbBvEK8efg2J6OITP8s2xgMrSIhGHWuOZltPrlayt1IkD3AKV4WCjmiU\nRzYbnjlSR61Kvtjatj0vrngd8qmfwzb83SALmzaj69nnEH/kUM3iilrhVsL83AB/76O/xsfyLc/6\nvt49eG7wSDMOzzcqVcLKgdS6jdZJ9EiCjKVEzxVnlINL9pZyCCeBq/JzOyiPOit63qsSw9BlK33t\nhvAQvcame9Acj9j+A4jtPwDbNKFcu1pS8BqzM762kShYePCKggevKCgIFK5vcCp9N9byAG9B79Pw\nHkbx7rv/HnSGxZDYg88+8klsXf8ATNMMVbYty9JgWWbFSMFqI3srSfJcKIoGSYq2LCe7GbBtwDQX\nmw1bquqIK068DvWGV6BAAsWyiB86jOQzz0HaurWZh1wRblVvuc/n3Vu/wM9u/dyz3iN249d2faHl\n5KMWokeq6MXrJnrezNvJm5nS+2ybRejFu+Cl8pFwlmXNcwhzyXqITvgtQMNbt44dSft/KO5vNwyE\nwomja84FjmIYRHbsRGTHTvR98UtQJybmxRynod28ufwGAERUG3vGitgzVoTGUhhf7yh4xzfw0Dga\ndsrAVdzBvz3/p7DfZ7DOiuGlB57Agc1PglkBU9JmIxIRVtxod7WQvVaQPBeFgoZIJFxVPU0zwfMs\n8lMfI/PmG8i88zasgr9xA663D8lnnkXyiafAVJFk0SwYhjnvQVe++vixfAv/5cr3PesszeI3Hvgy\nIpzUxCP0B/caRVH+r1eNFmMAQE9PL1KpbszNzZbWDMPCzTs5bNzgZBGr+cmKRM+ZxSNbrHRQOzoV\nvTIIy+sAnIqRojR/1pCiKIibN0PcvBm9n/kctNu35yt9p1G8PuZrG7xhY/sNFdtvqDBoYKqfx7VB\nx7alINGgoiZuI4M/Gv8h7I9+jHhBwLPb9uGpXZ9AtEXD0PWAYShwHI1sduXtOMJO9lpJ8gDHbiUa\n5WtWqgYNtmVh5v1TyP70BDJnP/D3JIpC9IF9SD5zFNG9DzRNXFELytl5uFCMIr5+7pvQLe9v8wvD\nr2JjfKCZh1cVXFWqX0JEFGPUYa8COOf/4eHt+PnP31u0Pj41VyJ6Wn4S6D1YdhtuRc+73v6/n1ai\nZqJHUeRZvLAYDDs/mnB8uZyK3sp/Jvzateh+8WV0v/gy9Lk55OdtWwpXLgM+SDRrAZtvadh8S4ON\nHG72cSUxRzbGgOItyLyCv5l5H//trffByzwO9m3Csf0vYU1swwq8wvrhZ7i9mQgr2Ws1yXOhKDok\nqb0VuEY2i+zbbyH95hu+RzPoWAzJJ48g+fQz4PvKV3BaCcMo3/K0bRvfvvyXmFa8YpJDax/C4+sP\nNfvwqoJpVmcATSR6dRgmuxge3uEhehNTGeCw8/+qPFnx+c6MHpnotbpF3s5oeEWvHAFsNzAMFYqK\nHkUFQyDDpVLoOvo8uo4+D1OWkf/wA+TOnEbh/DlfrvgUgA13dWy4q+PIGRnTKbZE+maSDCiagp7Q\n8J56Fe/9/D+CyjMYkvrw8v4XsK13T0v8rZYDRQGCwDVVaesHYSN7QSF5gFPVS6WiyOfVthoDsW0b\nxdFrSL9xAvLpU77FFeKWreh69jnEHnkENNfcGMR6UUnl+ebUOzgz/aFnfV20H7+847OBIx1OJczf\nMdm2TSR69YoxAPKc3vjkXOn/DW0Opi6D4WLE51uWDZb1vo5WX7/aHXWpbm3CmSsIpKIRqKYMHmS0\nqppXCUwshsTjTyDx+BOwVBX58+ccBe+HH8Aq+IuPWjNnYM2cgcfO5ZGOMSUF761eFqAo2FETV3Eb\nv3vum4BGY40Vx7Hdj+PAhscgcvXlXDYKoshB0wzi72ilERayFySSBzgXKE0zIIpcSyu3fmGpKrLv\nv4vMGyd8p+RQHIf4oUfR9exRiJtbZzNSC0jK2+uZCXz/2t95HiswPP7Z3l+D0OQc71rgxIf5u5nV\ndAv6kmsCy1AQ+frtS4hEb4HyFnDm9CJdu4jPL0e+Xb4RNILdLqiL6JEQFqLHMBR0PQyvI9iElRYE\nxA8+jPjBh2EbBgpXLjtxbGdGYGbSy28AQJds4uClAg5eKkCWaIxtEDA6yGNqDQ+LoQDewjQy+ObY\nj/Bn136EeFHCk5v34omtR9Ed6WnyKywPUeQC1dILCtm7cWMC/+bf/F/IZDJIJpP4l//ytzA4uHHZ\n5wWN5LkoFnXEYkKgiZ52+xbSb55A9p23YSn+klm4vjXoevYoEo8/CSZGrtAEHW771iV6spbHN85/\nG6bt/f786s5fQn80mG1o07TBcf5IULlqXiNI1NatQ6DpxfPtd2cKyBc0RCMOQVbl6okegA7RqwM1\nE71yZC4sRG/pl7VdEXSitxAUyyK6Zy+ie/ZizZe+jOL1sVIGrz59x9c2YoqFfdcU7LumQOUoXN8w\nr+BdL8BgKVA0IEcU/Hj6FH48fQqcwuFA72Yc2X4Um7u2rFiLl2FoUBQVKEICBIPs/bt/99v47Gc/\nj2PHXsJPfvJD/M7v/N/4vd/7g4rPCSrJA5z31IkPC9Zv0TZNyB+cReaNE07yjR9QFGL792PglZdh\nDm4LlLiiFiy0JrFsC39y8TuYU703mE8PPI6D/QdW+vB8o5qIsGakYriQJAmDgxsxMTG+aH1iKo3d\n2x2SrObLz+lVNk3upGPUipqJXrkTFkVRgWhF1YuwEFaGoQN34fMDiqYhbRuCtG0IvZ/7PPSbN2Fe\n/hDT77zn269L0G3sHFexc1yFwQAT6xzSN7ZBgCo4Zwxd0nEqfxWnzlwFpdHYKq3BszuOYE/fPvBN\nbNGIIgdVDWaFp5Vkb25uFh99dBlf/ervAwCef/4YvvrV/wdzc3NIpVLE5wSZ5LlQVR2iyCGfb30F\n18hkkDn5U2R++iaMBVYYlcDE4kg8dQRdTz8DrrcPqZ4YZmfzbX+ud2bCnJblT8ZP4NLsR57HbEoM\n4jNDn1rpQ6sKlQjSUpCIXr0eegsxPLzDQ/TGpzIloqcpt2BZOmjau89KVTunzd5Jx6gFNRE927bL\nKm7b/YfvIixELwwqaIqiEN28EZHdQ5CeexH6vbulSp9y7aov8yjWBLZNadg2pcGicvh4DYdrAwLG\nBgXIEefkYfMWRs3bGL34XcD8LvqQwNPbDuHA+kNIiV0NfU2CwCKT8dciawVaRfbu3LmD3t418/5m\nAMMw6O3tw/T0HSLRaweSBwDFooFkUmoZ0bNtG8rVj5B58wRyp3/hK7caAMRtQ+h65ihiDz8Cmrt/\nYTYMEyzbnjeRC2GaFgSBxeXZq/i76//g+XuElfBP93wZXMD9Ousleo0QYrgYHt6O48d/smhtfOq+\nIAO2Ba1wE2JsE/H5LtlbyiU66Ri1o6Gt27Aobqsxngw6gtYuqhULB6a53j6kXjiG1AvHYGSzyJ89\nA/nMaRQuXfSlDqRtYPCOjsE7Op49LeN2j6PgvTYoIJ2Y/0kwwF1k8Zfjx/GX48cR0QU8umEPHt74\nODbGB+s62bAsPR8hGOzPJQht3EpoF5IHOITCtmvLnK4HVrGI7Hs/Q/qNE9A+rpw16oLiecQPP4qu\nZ45C3LSZ+BhXxBD09305WJaFjJbFH1/4c9jwnvT/8e5fRo9EriQHDbbt79q1EhW9pRifXCLIkCfL\nEj2XtC61NwsDt2gV6hBjeNfCVAULw+sAwvNayqmH2UQCySNPI3nkaZiKgsK5Dx2T5g8/hK36SyRY\nO2Ng7YyBJz7IYyZxX8E73c2WIlIKnIoT0yM4MT0C1mCwN7UZhzc/jp3dO8Ez1Z0keZ6FprXHBXKl\nyV5/fz/u3ZuGaTqpBaZp4t69u1izZnHecTuRPBeaZoDnWRhG81NQ1Js3kXnzdWR/9g6sor/fAdff\nj65n5sUV0WjFx7qxVu0OTTfw+2f+CLLutTj65Kaj2NtLFg0EEeUI0lKsREVvKSam0ouqcVq+/E3H\n/dexeD0sxZdWoKGq2/DM59Gw7WBXW/wgLCQPcIieqlau1jGShPihw4gfOgxL11C4dBHyyAjyH5yB\nmcv52k9P1kTPhQIOXSggF6FLlb6bfRzs+daIwZo4mxvF2XOjoCwKG4U+PLb5MPat2Y+kkFh2HzzP\nBmJWyy9WkuylUt0YGnJaP8eOvYTjx3+C4eEdi9q27UjyAIfoRaPNi7uzDQPyB2eQfuMElMuX/D2J\nohA98CC6njmKyK7dvsUVbsuz3fHXYz/ClXujnvXtXdvw8tZPtOCIaodDpGgAlX8TzRRjAMCGDQOQ\npAgU5b5VllI0MD2TR3+vo85W85Nl27CV1juoDQ0meuFg3WFpQYeJ6LFsdS1omuMR23cAsX0HYFsW\nlGtXIY84GbzGjD93/3jBwoGPFBz4SIEiUI5ty4CAG+t4mPPmpDZtY0KfxsTVv8FfXP0bpBDDo4MP\nYv/agxiIrfOcsCiqPQUyjSB7DEOVlIGVYsF+8zf/D/zrf/1/4o//+OuIx+P4V//qt0p/a1eSBzjv\noaO2bux50kinkXnrTaTfehNm2p8lERN3K+HPgOup3mLIbd22M87ePY/Xb7zlWU/ycfz6ni8F0mS9\nEhzl7fIjJc0mejRNY3h4GB9+uDgmb2IqXSJ6lqnAUGfAib2e57staO96OK5lrUDDW7dh+DDCQpDC\n8jooqj7yTdE0Itt3ILJ9B/q++CtQJ29AHvkF5JERaDc/9rUNSbWxZ6yIPWNFaCzlKHgHBVxfz0Pj\n718Q5iDjR5Mn8aPJkxAsDg/178SBdQ9jR2oIHMP9/+x9d3wc5Z3+M3V7U7ckd0kusuTeMK6AMYaE\nDiEBghNMs01IcuEul7tfPiSX3OVCLjkw9UzAmBpMSSimGDCmuFdZ7rItybK6tNL23Sm/P8YraTWz\nq63S7qDn8/FH3ndm3pl3Z/Z9n/mW5wuGocFxmUVQgoiV7DEMBZalwbLUxdrRYo+UhcWi70kU8vt5\n+P1cT3+jR4/B//3fRsX+MpXkBcFxPBiGSth1L4oiPCdPwP75p3Ae2B91coWutAyWJctgnDEzJLki\nVgRLUmXqy32rux2bjv5N1k4SJFaV/wAWTebVzY42ISPVRA8ASkrKZETvXL0dc6b11gf2uerDEL1w\nFr2kXuK3CsOuWwWohbCq534kL6GEIAhoR42GdtRo5Fx3I/zNTXDu3w/ngX3wnpG7cJTAciJK630o\nrfeBJ4H6fIn0nSnSwK3rJX0+MoAdrVXY0VoFUiBQZhmJ+WPmY1rBFNDQJGU8g41oyJ5GQ0Ov1wAQ\n4fVycDi8IfGVubmmnrJvNE2CYWgYjRoABNxun6KLXg0kD5C+P5qOn+jxHg8cweSKKF9SCJaFed4l\nsC5dBk0UwtNRX8vFagzpnlTUH34+gA1HNsHLy2MXvztuBUpt44bgqhKHKEZJ9NwKRE+fXKJXVhZd\nQoYxe7psv3DjUMNaNlSIi+iFIxAEEVWt+rSHWsahHtHngQOM4wWbX4Csq1Yi66qV4OydcB44AOf+\nfXCfPB6VlYQSgDGNfoxp9GMZHGjMlWRbakZq0G3s1XwSSBHHHXU4XlUHHH4dIzRZmFk4A5V5FSg0\nFGSUZEA4skdRJEwmLQARTmd0hIzjBHCcHx6PHwxDwWBgodOxcDi8PQRCLSQPkCx6Ol3s+oy+hvNS\n5Ypvvok6yYgtGAHL0mUwz18ASq+P+ZwDQbLQyoPm0x2bT/0d550XZO0VOZNx2ahFQ3BFyYEgICpB\n4cGy6PVHbYO8FJoSIrluM2meTCck1XUrEcDMJxZqGYfkulXDOAaHsNJWG6xLl8G6dBl4lwuuwwel\nZI7qKoj+gQPoCQCFrQEUtgaw6IATrVa6J4O3zUr1zl4E0OjvwHvntuK9c1thJHSYXjAFU/OmosQ2\nLu01uwA52SNJAkajBi6XH15vfELQgQAPu90DrZaB1aqD0+mDIIiqIXkAEAgIMJmiE30VOQ7OA/th\n//xTeE6eiO4EJAnjtOmwLr0MuomTUrow9tZXzZz7sqtxH76+sFvWnqvPxp2Tbsm4uLy+6E3GiAyn\nwu8z2URPKfO2ockBf4AHy0jPP+drB8+5QdGhLyGSiLV8HMMGvfgx7LpVgFrGQZIEOC7zx0FRgx9r\nSBkMMM9fAPP8BRB8PriPHpFcvIcOQHC7B+4AQK6dQ66dw7wqF+xGKYO3ZqQGjTlMyCurU/Tgy8Y9\n+LJxD2iRwuTs8ZiaPw3l2RNhYtO3hmhfsgcAdrsnKW48rzeAQICH1aoDANWQPKC3OHskK3WgsxNd\n27eha/s28F1dUfVLmc2wLFoiJVdkZSXzksMiFpHedECDsxGvnnhL1k6TNNbN/hH0VPIJa52fAAAg\nAElEQVStnoOJaCxeAU6Ar1/YAEkQ0CU5g9pisSIvLx8tfUpXCoKI+gtdGD+69/n0ueqht4S6eYez\nbpOP4axbBQyPI71AEENb3YPUaGCcPhPG6TMhchzcJ09IWn0H9ked5Wh1Cph53IOZxz1waUmcKWZx\nuliD8/ksBKp3UuMIHoc7TuJwx0lABEYbCzAtfzoqciejQJ+Xdq6Lvgu9kvZVsvpVE4L1Vfk+X5Yo\nivAcPwb7ts+k5IooLdi6sglS5YoZM0HQg2sJDmd5SUd4OS82HNmEgCC3Zn1v4nUYaxuJ7u7oXOLp\ninAuz75Q1tCjQaZgXiktnRBC9AApTi+E6DmViN5w1m2ykQLXbebfjOFxpBck1216WHQImoZhcjkM\nk8uRd9vt8J47e1G2ZT8CzU1R9WHwCqg47UXFaS98DIGzhVIyR+0IFgGmz8JJALWuJtSe2YK/n9kC\nK23EtPxKVOSWo9Q6DhQ5tHUfKYqE0aiB3e4BSRJJc7H2jckTBBFWqw4cJ2Rc0H84BIkewIN3u9G9\n42t0ff4Z/E2NUR1PaLQwz7+YXFFUPPABKUKmWPREUcTLxzejxd0m2zY7fwYWFs9LuxeoeBCNRW8w\n4vOCKCubgK+/DpWvOXc+9MXYrxCnN5x1m3zEXetWCWqyIKmBIKllHOkaa0iQJHTjxkM3bjxybrwZ\n/sYLEunbvw++utqo+tAEREys9WFirQ8cBdQVsKgpljJ4vdpQa4mdc2JbwzfY1vANWIJGec4EVOZW\noDx7IgzM4LudTCYtXC4/eF4AzyMpospKiRculx8mkxZ2e3Qu83QHzwvwna9H8wcfonvnDoi+6MSz\n2cJCWJcsg2n+AlA6XYqvcmBIum3pb9H74vw32N9yWNY+wpCP2ybeAADDRC8FUEzI6Ef0fO4LEAUO\nRL+45HDDGE7IiA9xEr1wWwhAoV5gpmGYsKYXMmEcBEFAU1gETWERsq/5LgLtbXAe2A/n/n3wnDoZ\n1QNF88C4Bj/GNfghEA405DFSXF+xBk5DqPXOL3I40FqNA63VIACMM49EZV4lKrInId+Ql6JR9kKq\niiCGJF4kKqocLrvW6w1Aq2Wg0dADVkdJZ4gcB8e+vTj/xWdwnzwZ3UEUBeP0GbAuWQbdhIlptchJ\nLrb0uR4lnO2qw1un35O1sxSLu6fcDg3FZsQ4okE0rlvXoFr05ETv3Pl+MaciD7+nERrDyN4mUYTE\nJeSIZozDkCNO1216L7qJIhOIRTRQD2HNvHEw2TmwXb4ctsuXg3N0w3XoIHxVB9F16DBEbmCyQorA\nyOYARjYHsGSfE81ZUgbv6WINOi2hP1sRQE13PWq66/H26feRo7GiMq8CFTmTMd4yJiUuXr1eA6dT\nHtMUL9kbSELF5fLBaNRmJNELtLdfTK74AryjO6pjKIsV1sVLYFm0GLTVNvABQwDJujLUVxEezoAL\nzx15Cbwof55+MPEmFBik+snpPo5oEY21yzGIRG/MmLGgaRpcn/nO3uWBvdsL68UELkCK0+tL9CIj\nPAkcLNxxxx3YvVvK3P7lL3+Ju+66CwBQW1uL5557DgcPHsSpU6cwa9YsbNq0Keb+T58+jd/+9rc4\nePAgTCYTbr75ZqxduxYU1TuPP/7441i/fj0A4Morr8Rjjz0Wsc+kWvQycUFWM9RCWDO9wgdtMsNy\n6SJkffcqtDe2w3n4MJwH9sF1+FDUBefzOzjkd3C45JALHWaqJ4O3OYuWveK2+ez4rP5LfFb/JbQk\ni/KcSajMmYzJ2ROhZxJ3+TEMBUAMS+LiqaAx0L5SuwiGoTIiA1cUBLiPHYV922dwHTwQ9cSomzhJ\nSq6YNn3QkytiRbQCvUMBQRSw8ehr6PTJk6UWFV2CWfnTej5/m9yBg+m6ZRgWY8eOw6lTodbr2vN2\nWCcX9Hz2uc6HbI9ktUuX5Wzu3Ln42c9+hqKiop62U6dO4YsvvsDUqVMRCMQnMdXV1YW77roLJSUl\nePLJJ1FXV4c//OEPEAQBP/3pT3v2u/nmm7Fw4UI88sgjEXrrRXrPJMNICMPEO71AkgQIjRam2XNg\nmj0HQiAAz/FjcOzfC9fBA+Adjqj6yermkXXUjdlH3XDoyR73bkMeA7HfwusV/NjXcgj7Wg6BAIES\nyxhU5JajImcS8vS5cY2DZWl4vZEta9GSvVjEkL1eDixLpzXR490udH/9FezbPo86OYfUamG+ZAEs\nS5ZBU1g08AFpgnSeWz6u/RxH2+Xag6NNI3FD6TUhbd8md+Bgum4BKfO2P9E7d96OqSFErz7jyLbV\nasW0adNC2pYtW4bLL78cAPDggw+is7Mz5n5fe+01+Hw+rF+/HkajEQsWLIDT6cT69euxevVqGI2S\n3FZBQQEKCgp6Pg+EJBO94Ri9YQwjWpAMA0NFJQwVlRDvEOA5fUqK6zuwD1ybPENQCSa3gGknPZh2\n0gOPhsDZIsm9W1fAgqdDJ04RIk51ncWprrN46/R7yNflXCR9kzHWPCpqFy/LUnA4BrZEDkT2Yq14\nEQhwFxNAorrMQYW3rhb2zz+FY9fOqMS1AYAtKoZ16TKY580HqR365Aq14HjHKbx35mNZu57W4cdT\nfpARguTxIBrC6lAqf5ZSojdwnJ7AucD5O8FoJNmVr77ajoqKiVixYgWef/4VlJaWYc+enfjpT9fi\no48+gslkQnZ2Nj755BOsXbsWAPD666/LiNdgIxmJSdu3b8ell14aQuCuvvpqPProo9i9ezeWLVsW\nV79JfeLVQ5DUQlgz5w0pHNTyTA3kfiZIEvqyCdCXTUDuLd+Dr76uJ5nD33A+7HF9ofOJmHzGi8ln\nvPDTBGpHsDg2TouzRcp1dZs9bWiu+wJb676AntahPHsSLimchTJbScTzUBQZUrs2EsKRvXjKmnFc\nUJYkPSCKIpz79qDzk4/hrTkd3UEUBdOMmRh57TXgR4zK+Gc7SC7SZRx2XxdeqH4VosL8/cPJ30O2\nTllMWg1zZTTxa65BqIrRF6Wl8pq3dQ3yNzWfs76H6E2cOAk0Lb10VlcfRmlpGY4cqQIg/ebq6+uR\nnZ2N/fv3AwB0Oh3Ky8tjui5RFEN0LMOBHuTwiTNnzmDevHkhbYWFhdDpdDhz5kx6ED21QBW/eahF\nYFIdpDsWEAQB7ajR0I4ajZxrr4e/ublHoDlaQsFyIkrrfSit9+HYaA0+XmCJuL+b82BP837sad6P\nhUXz8L0JNyjuF0+Vkv5kD0Dcmbm99VWH9pkQRREtL21E1xfbotqftmXBsngJLAsXgbZYYc4ywG53\nq+Q3mh7o9NrxzOEX4Ag4ZduWj16KKTmTwh77bbkPShY9wyBb9M7WtYIXBFB9LGA+Vz2M2VMBANnZ\nOeB5SUrpyJEqXHfdTaiqOgyCkGS2zp8/j2nTpuHAgQMAgKlTp4JhYhvD22+/jV/+8pcD7nfiRJSl\nB5OE7u5umEwmWbvZbEZ3d3SJXEoYtuiFgVrGMYzMB5ufj6wVK5G1YiU4ux3Og/vhPLAf7uPHEE0p\niom1PlSPFNEwKro3mC8bdmJ2/gyMt46RbZMm29h/HL1kL7GyZoIQjOUZ2h+o/dNPoiJ5+kmTYVl6\nGYxTp4GghlbgOjUIWpGG9n6c6TqHZ6tehMMvJ3ml1nG4ZuzyIbiqwcVArtuT9XbUNcvjgDujCMOI\nF9nZOWAYJiQ5geN47NhXj0tnj+5p8znrQo7TaqWs3CNHqiCKIo4ePYJJk8pBEAQaGhrg9/tRXV0N\nAJg9e3bPcb/+9a/x2WefoaWlJSJJW7p0KTZv3pyUMSYb4cq/JWJ1HrboDWMYGQTaaoV1yTJYlywD\n73LBdfiQlMF7pCpibFj2fgNquqaDsraAsrWANEauoXrafkaR6CWCQICH2+2DwaCB1Rq/wLPNZkji\nVcWOruqjaHvj9bDbKb0eecuWoOCqK6EvDl+5Ijs7fesYx4KcnKEdx9aar/DcgdfAK1TP0dIa/GLR\nPbDqIlu0ASA3V25JyUQojaOlw42n/n4EvMJLmsMnpGzsr776qmIGas25zhCiRxBcyDV4L6oRnD9f\nh9raE3A6HZgzZxa0Wi1aW1uxZ88e+C/Od7Nmzeo57pprrsG6deuwYMGCiNdltVoVLWdDDbPZDIdC\nUp7T6UzoepNK9NItXiMRqGUcw1AvKIMB5vmXwDz/Egh+P9zVRyQX76GDEPpkLBAkie+v+R5Kmtrx\n0Vfncf5IDjR5U0HbOiTSZ24HQfUukiRBotQ2XvGciUpqeDwBcJwQt+s2K8uAri73kLluObsdtX94\nFKKCJZXOzUPWipVScoVGAxcAV6tyJnXWRddtJssGARJZ7ehwDslcyQkcNp96F1827Ai7z7XjViLg\nJNHqjJzRnpNjRFub3BqYSSAIICvLiPb20HH4/Dx+/9I+dDnlL4IkSWBMngGtYZ7TRODz+fDoo39S\nuE4Cc6eHZpczupE910CSBEwmtmfbM89sAACMGzcRWq0WHMdh48aN0nEME5KE0de6Fwnp6rodN24c\nzpw5E9LW2NgIt9uNcePGxd3vsEVPAWoheN+WAONhACTLwjh9BozTZ0DkOHhOnYSrqgq8ywnzwkXQ\nl5TisgnAZYsXQBRFHDxchdc+akFnfTZmlpowc/EEnPM64eV9mDdiFsZZRiueh+cT105LpIIGSQ5d\nfJ7Icbjw9BPgu+TWUOPMWRhx3xqV/ObSHw6/ExuObMJp+1nF7RqKxY0l38GCorlR9afW+yaIIja8\nfxT1LXISm2XW4O5rJqOkaGBrZzzYvPl1NCnUb37grjmYWBIq7WTKmRXymaJo2GxZ6Ozs6KmXW1FR\nCY1GC0EQsH271DZlypQeN28sSFfX7aJFi/Dcc8/B6XT2ZN5+8MEH0Gq1mDNnTtz9psSil/lIj7iT\nRKGGAGO1PFODWQCeoGnoJ02GftJk5e0EgelTKzF9amVI+4wo++d5ATQdfeatEuIhezRNgueHruZx\n6xuvw3v6lKxdW1KKEavvi4ksZLoIeBBD4fmoc5zHs4dfVBRDBoAx5lFYXXEHrJroCYwa5kqlNeu9\nr89h34lW2Z42kwb/fucsWIzKGfmJwu12YcOGp2XtCxfMwZWLQr0FJG0Aa+i18AWfqalTp2Hbts8g\nCALy8vKRm5sHjUYTUgigr9s2FthsNthsya044/F48MUXXwAAmpub4XQ68eGHHwIAFi9eDN3F+tS7\ndu3CnXfeiRdffBFz54a+iHzve9/Dpk2bsG7dOqxevRr19fVYv3497rrrrqg185SQZIueWgjSsOt2\nGMMIB7+fB8PQ4Ljo9OLCIfYKGjT8/qERS+7etQP2Tz+RtVMWCwrvW5P2VSzUgr1NB/DS8TcQEJQF\nu+eNmIXvlV0PhkpdJmm6ov+ate9EC975Sm7xZGkSD95YmTKSBwAvv7wJnZ0d/a6PwJ23XAKgJaRd\nZykDQfSVTZI4RGXldGzb9hkAyZoX7CMvr7eWd7Su2sFAe3s7fvKTn4S0BT9/+umnKL4YrxuMP8zO\nzpb1YbFY8MILL+A3v/kN7rvvPpjNZvzwhz/EunXrErq24dlJxRgmrOmFoFUv0y05fj8Ho1EDjycx\nogfERva0WhpOpy/hc8YK3/l6NG98Xr6BJDHi3gdAW60x9aeGZwAYXEu7IAr4e80WbK37QnE7SZC4\nsfQ7WFx0ScxuWDXOkXXNDvzfe0cVt/3o6kkYXZC6RISuLjs2bnxO1n7VVVdjhM2B/jkzOotcggUA\nbrnlNtxyy22y9jVr1mDNmjVJudZ4IYoiOI4DRVE9z1txcXFUMX2HDh3CnDlzUFKirFdaUlKCF198\nMWIfgiBAEISoLdFxqY9GqkOnBjebWpBpZWXCYTDdnqmEWu6HRMaIizVvk9NfkOyF61NqJwa9/Bnv\nduHCk+sVM5pzb74V+jK5IOxAUEsN6nildmKFO+DGk4f+GpbkGRg91k27G0uKF8T1+1LL/Qii2+3H\n429WwR+Qhzlcc8lozJmUn9Lzb9z4HJz9kl9omsaPfngjBN4T0k6QDLSm0CSDSMR7oNv7q1/9CosW\nLQIgxbv96le/iu3io8THH3+M8vLynqSQWHDgwAGsWrUqofM/8cQTKC8vx549e6LaP06LXuYvVpHQ\nuyBn9o9fLcRbLePoFfsd6itJHJJMCgu73TPwzlFgIMuewaCB2z241jxREND03P8h0NIs22aaMxfW\ny+PTZotHdDodIRGk1J6j0dWMZw6/gFZPu+L2IuMI3Fvxw7AVL6LBYIxjMEAQBPwBHk++fQTt3XJt\nvOmlObhuYfyZm9Ggra0Vr7yySdZ+/fU3IdvggMMd2q41jQNJxuJmj7wQ/O53v4uhr/jwyCOPwHVR\n1aCwsDDm459/XsE7ECNuueUWLFmyBIAkFTMQ4iJ64RdddWRIqoVYqIewqmMcPB8s4ZX5TM/n46DT\nsdBqGXgVyirFg3BkT6tles45mOj44D24Dh2UtbOFRci/c1Xc1lmKGtqkkmRBsryk7jd5qLUaG4++\nCh+vHCIwI68St0+6BRqKVdweLVI9jsECQQAb/nEEJ+vlSSpFOQbcfc1kkCle2DZseLonBi0IjUaD\nu+++D562N2T76yxyi3ikuT4d1uVEZE6Shfz8fOTnR2+ZjZPoKX/b6iNImQ21jENy3ZIAMntx5Hkh\nKYWv0wUOhxdWqw6BAB81cQnwAXAiDx2tLInQn+wJgphUy2G0cB2pQvvf35a1kzodCh9YBzIOSYcg\n1EL0SJKEICR/HIIo4MNzn+L9s/LkFwAgQOA7467E8tFLkzK/qcV1++m+8/h4V52s3aClse6mSug0\nqQ3Jb2g4j82b/yZrv/XWH8BmJtF0obPfFgI6c6liX+Fdt5m/ng0F4r7zSn50tRCL4XGkFwRBUEWM\nHs8LYBj15D/xvACn0weLRTeg+K8oinin5gNsrfsCBAjMzJ+KVeXfV9y3L9kDAKfTN6jESPD50PT8\nBsXVpuBHq8EWFCTUP0WR8PsH1zqZCqQiqcTLefHisb/hUOsRxe1aSotV5bdFrFsbK9RA9I7VduKl\nj+SJACRB4IHrK5Bn1aX8Gp5+ej04LtS6bzAYsGrVani6qmX7awzFoBh5lZtw90MFS9mQIQGiJ78Z\n6rHoDY8jnZBoNYZ0QVB/Tk3w+TgQBAGrVY+uLk9YQnai83RPML0IEXubD6LIMALLxyxV3L8vgRjs\neDbHnl2KoshZK6+BcXq0aoPhoR6LXnKJXqu7Hc9UvYBGlzwmEgDy9bm4t+KHyDfkKW6PF5meddti\n9+Cpd5TLm33/ilJMGp1cvTgl1NScxvvv/0PWfscdq2Cz2dCkkI2q5LYFwt8PNRgthgpxrzqpKLyb\nLlDLONSSrZqMagzpAJ6Xnis1PFt94fUG4HL5YLXqeuLp+qPFLRdt/aZROWNMq2VgtergdPoGzMZN\nBbq2y7M7mdw8ZF93Q8J9B+//UFX3SCaSSfSOdZzEf+99LCzJm5I9Eb+YtTbpJA/IbLkbj4/D428e\nhtMjj5NdMq0QS/uVGksVnnrqMZkb32q14vbb7wIfcMDvbpAdE57ohbPoqWveHEwk5LrtD7UQJLWM\nQy1ET3LdqsPlyXE8GIYcMuHfVMHn48BxAkwmLbRaGi6XPyRzttA4QnZMq6cNdl9XTwUDhqFgMEgi\nrnZ7r3Uw3nJpcY3jfD28Z2pk7VkrrwaRhPhKhiHBceq498lwQYuiiM/qv8Tbp9+HGCYAf8XoZbh6\n3HKQRGqs4VKsYeYRPUEUseG9o2hodcm2lRVb8P0rygZlHauursLWrR/L2n/0o3tgNBrhbNsn20Zr\nc8Bo5YLBgES8h123yUVcq2c4IiSKgBpizdUyDkEQQKtAsZ/nJVkSNSAQ4EHTlOqIHiC5pu12NzQa\nGkajFoAIr5dDIMBhnGU0srU2tHtDA7L3tRzENWVXQKulARBwu32y7NpEauPGCkVrXl4+zJcuSkr/\nNE0NuhZgqpBo3WE/H8Arx9/Enub9ittZksEdk2/FjLxKxe3JAkkSGUm+3/nyLA6capO1Z5u1eOCG\nCtDU4CxiTzzxv7K2vLx83HKLFIPr7pK7bfVhrHlAZNetWowwg41h160CBEEd41DP/QjKkmQ+OE4Y\nVDfkUMDn49DZ6YLT6QNJEjCZtMjLNWPx2HmyfXc37wdBSAkXnZ2usBIq0YgqJwrB70f3zm9k7bYr\nliftd8QwVEaSCiVQVPxZt51eO/68/8mwJC9ba8PPZ65JOckDwluQ0hm7jzXjvW/Oydo1DIV1N1bA\nrE9MciZa7N27G99885Ws/Z57HoBWq4XA++F1yMuwhauGAYQX4lbDWjZUSIDoydvUQpDU4/JUxzhE\nUT0JGYEAB5pWN9ELIhDg4XL50NnpRlubE9Oy5Iv2+e5GHG8+E5WVK9Vkz7lvDwR3qKIrwbIwzZ2f\ntHOoxaIXJEfx8KPT9rP4w57HUOeQx20BQJmtBA/PehDFptjFaOPBYFX4SBZqmxz46/vHFLfde90U\njMpPXXmzvhBFEevX/0XWPnLkKFx7rRTP6nXUAGLo807SBrD64rD9DmfdJh9Jtuip42aohVSohegB\nkiVMDVY9UQzKrHw7yF5fZGuyMc4yRta+q1EewxMOqSR7Sm5b06w5oPT6pPTPMBR4XsjoDM8gKIoE\nx8VuzfuyYSceO/AsHAGn4valxZdi7dQfw8jKZTdShUxKxuhy+fHYm4fhV/jub728DLMmJD9ZJRy+\n+mo7Dh6UW2Tvv38dGEZKynLblbJtI8cODmfdJh/DrlsFCIIAIkWBv4MJNRG93qoSmQ+/nwPLZn7s\nZDyYnTtV1ra3+SA4Ifqg/lSQPd+FC/CcOilrtyxekpT+AYBlaVXo5wGxS8RwAodXT7yF1068BV6U\nWzRpksbtk27BTWXfBUUO7ktQphC9ACfgibeq0OmQlwKcOSEXt1xWBlEcHNkeQRAUrXmlpWVYseJq\nAIAoCvB2n5LtEyk+DxjOuk0Fkpp1qxZioZZxAL1jyYSJLBLURvRMJi1c8mQ51UIURfzxL+uxvboe\no24FiD5ruTPgwtH2E6jMLY+6v2QnaHR9KbfmsYVF0I4bn1C/If2xNByOwa3wkSrQdPREr9vvwIaq\nTajpOqe43cKacU/lnRhjHpXEK4wOmVJ3WBRFbPr4BE43yPUdR+YZcffVk0HTg5c9/MknH+LECbn7\neM2ah3qq//icdRD40OedIBloTGMj9h1uvRrmefEj7pVTiQipxeWpFhc0oB6CxHHqERvmOAEEQaji\nvkSLz7/cgSp7MfJKVoC3yytL7GqK3n0bRLIse0LAj+4dX8vaLYuWJM2KQFEkCAJxuTvTEdG6bmu7\n6/GHPY+FJXljzaPwz7MfHBKSB0jSKpkgXr1133l8dbhR1m7SM1h3YwU0LDVows8cxylm2lZUTMXi\nxb0C6B6FbFutaTxIUllrM4hwRE8N3GKoEHetW6UvXS3JGIB6LGGCIIKiyIwPAJeInnri2nw+rkdv\n7tuA/SeaMA5ezG7cD7HNj0Oz/WjM7c0MrGo7BmfABaNCSaRISIZlz/7pVgjOfjFjFAXzvOQlYWi1\ndNiM4kwETVMDEr3dTfvxyvHNCIRxy18yYjZumXA9mCHUyJRc0Ok9x1ef7cBrn8pdoBRJYM31Fcix\n6AZ1rXr33XdQV1cra1+37qc9678oivB0yUMhwokk90U41y1Jqk9sfrAQt0khnDVCPXF66rBO8rw6\n6sRKGX7quCeAVE1Co4n8ZqsmlFn1uOXCpyhz1WOCvRk3bLVjRGsvyeVFHvubD8XVdyKWPffJE2h7\na7OsnS0sAmU0xnU9StBoGHi98uoFmYjejFtlYsELPN469R42Hn1NkeSRBIlbyq7D9yfeNKQkDwha\nj9LXotfc4cbTfz+iaKm7fXkZykZaAQxenKHP58Mzzzwha587dz7mzOmVTwp4W8H5O/vtRUBnKY3Y\nf6S6w98mD0iykVTXLaAegiRVY8j8B0strltAqiqhFquelH0pfmuyb+dbSDB9gvBpEVj5ZReYQO8i\nuzMO920Q8ZA9zt6JxqefABQWeuvSy+K+lv5gGAqiKGaEizAaSNY8ZcupK+DGk4f+ik/rtytuNzIG\nrJu2GouLL0kLg0A61x12ezk89uZhuLxysnzZjGIsntZb3kyq7pH6cWze/DqamuQu5LVrHwr5rOS2\n1RhGgqIjZ7BHIqxq4BVDhaRm3QLqIXpqqcagLqKnLlkSrzcQtjas2qAvlJdAM3pFLN7X6zKt7a5H\nk6sl7nPEQvZEjsOFp58E390tv67Zc2FdtDju6+gPrVY91jwgKPosJxUXnE34772P43in3M0IAMXG\nQjw860GU2ZKX4JIoYkkqGUwIgohn361GY7tbtm3SaBtuvawkpI2iUl8/2e12YcOGp2XtS5ZchoqK\n0Gx6JaIXjds2EtFLhxeDTEVCRE/pi1cL0VNLNQaeV08SQyDAq47osSytit/LQNBPLgeZlyNrLz/j\nxfh6b8/neJIy+iJaste6+XV4T8sJia60DCN+vDqha+gLkiTAsrTqiF7/WMhDrUfw6L71aPO0Kx4z\nM28qfj7zAWTrbINxiVEjXj3AVOPN7TU4XCP/LnOtWtx/3RRZebNEqpREi5df3oTOzo6QNoIgsHbt\nT0LauIADfvcF2fE6a/xELxzfGEZ0SIgBqDnzludFVbhuRVE95FuqE5v59yQIUQR8vm+HVY8PdIO+\n0gBOoXD9Zbsd0Hsk4rC7aT+EBLXABiJ73bt3wr71E1k7ZbFgxL0PgEhifWitloHPF1CFSHIQNN2b\n3CWIAt4/8zGerXoRPl6eWESAwLXjr8Kq8u+DpQanLFe0SNdkux3VTdiys07WrmEprLuxEkadfL6Q\nsodTN5auLjs2bnxO1r5y5XdQUhJazkwpCYPR5oLRZA14nuGM29Qg7lUzHKFTC6mQLHqZPw5AXVY9\ntblvPR4/dAoTt9rg6T4J0kzBXq6TbdP5RFyx0wGIIuy+LpzsrEn4fOHInq+hAbRpESgAACAASURB\nVM0v/FV+AElixL0PgLZaEz53X+h0DDwe9WRW93XbejkvNlRtwgfntiruq6O1uH/qKiwfvTQtrTHp\n6LY929iN5z84LmsnANzznckozlVOEJJct6kby8aNz8HpdIS00TSN++5bK9tX2W0bvrZtX4SrO5yJ\n9YjTCUm36ElZnplPKtQyDkA95cMA9blveV5EICCo3qpHXgzCLlxUgGqfvPzVmEY/Kk9J4qqJum+D\n6E/2eI8HF558HKJfTrxyb7oF+rKBXUuxQKtlEAjwaS/fEQuCbtsWdyse3fcEDrVVK+6Xr8/DL2at\nQ3n2xEG+wuiRbm5bu9OHx988DE6BsF2/aByml+aGPTaVyRitrS145ZVN8mu6/iaMHBmqfyjwPngd\nZ2X7RhOfB4TXNVSD8WgokSDRkx8u6bZl/k0Jvjyk4YtozJAseuogR1L5MHWMJQi32we9Pr3cWsmG\n1jQOgDRndEzRoUthMr/0gBPWbg4HW6rg5byy7fEgSPZMBgatG/+KQHOTbB/jzFmwXnFlUs7XF3o9\nC7dbPdY8AKBo4L0Tn+D3u/+CRlez4j4VOZPwi1lrka8PT0zSATRNgefTQ180wPFY/1YV7E758zJn\nUh6unj867LHBNSpVBq8NG56G1xv6e9RoNLj77vtl+3q7a4B+Je5I2ghWXyTbVwnhKpWoxVAxVBi2\n6EWAWjJWJVmSzB8HIC3cFEWpgoAHwXECOI5XtQuXovXQGKXFasHCMdhQL3fPMjyw4ptucJwfB1qP\nJO3cznN1OPTP/4buvXtk29iCEShY9eOkuxZ1OhYcx6eVxShRnHc24Nfb/oTNJ99DQFBOLlkx5jLc\nU/FD6GjtIF9d7KDp9LDoiaKIF7acwJkL8gzw0fkmrFo5KeLzmUqJmIaG83jzzTdk7bfe+gPk5+fL\n2t1h3LbR/r6GLXqpQQK1bglFy51aYvSAXqKXDpNBIlCT6xaQiCvDUPD70+NtPBlwufywWnXwetUV\nuN8XOssE+Jy10OsYWMqt2FrXjsuzs0P2ye/gMKfKhV22vZg/YlZC5xM5Dh0fvIf2998FlCw3DIsR\nD6wDqZXHDSYCggD0egZ2uzrq2vr5AD44+wk+rd8eNlGGIiisKv8+pudVDPLVxY90mds/2l2PHdVy\nS7PZwErlzQYIVUkl0Xv66fXguFBSbzAYsGqVPDNdFHl4u+WZ7Poo4/OAyMkY6RjnmSlIuusWUA/Z\nU1sSg1rGIrlvh1ZRP9ngeQE+H6dqF66+T5zOiiWl2Fhbg2YF/jX7qBvO0yfQ7umvrB89PDWnUfub\nX6P9H+8okzwApunToSksjPsc4aDXs/D5uLQL9I8HJztP43e7/wef1G2LmA39g4k3ZRTJSxdr3uGa\ndryx7bSsnaYIrL2hAlnmgS2jqUoqqak5jfff/4es/Y47VsFmk8vk+Jx1EPhQFy9BMj1hGwMhsliy\nOtauoUJC3164WDz1uDzVMQ5AXVUl1Ej0AMDt9kOrZVTzzPUHrbGB0eYBAErGZGHkKCv+cvII+tMw\nUgSW7+jCtpNfxnwOwetFy6svo/6/fgf/hYaw+xEUhZwrkx+XR1EktFom42Pz3AE3Xj72Bv73wLNh\ntfEAYJx5NNZNW425I2YO4tUljkjVPQYLje0uPPMP5fJmd1w5ASVFlqj6SZVl8qmnHpMleFitVtx+\n+12K+yvJqmhN40FEWeYukmVSDXH/Q4mEVstvg0VPLYuuZNGjAGS+cCvPS3U20+WtPFkQBBEulx8m\nk0Y1br/+0FknINAkVb9YsbQU65/fhXfa7bgxO1TWxOoU0PjeJxAqron6bd51pArNm14A1x6emFA2\nGwxTKpG9ZDEKZlSgu9srE/9NBCaTBi6XPy312aKBKIo40FqFv518Bw6/PDs6iEJDAb4/8SaMtYwK\nu086Y6iJnssbwGNvVsHjk1/D8tkjsbAyektzKly31dVV2Lr1Y1n7j398L4wKNaBFUQwTnxd9Jvuw\nRS91SNgsovSQqYUgqWUcgJTEoKZg/6BVj+My23LSH8GyaGormxWE3jIB3U2SpW7R3NH462v78cbZ\n45iZsxBjxNDxTjrrwFd/exVzFy6BGAhI/7gAhD7/D7Z7Tp+CY9fO8CcmSWStWImsa74LkpXc40Hp\nlWSRPUkih8jY+2b3deH1E+/gcBjJFACgCQorxlyOK0YvBh2lpSYdwTDUkOkb8oKAZ/5ejeYOeXmz\n8rFZuHlpbCXiUkH0nnjif2VteXn5uPnm2xT3D3hbwPvt/VoJ6CylUZ8z3DjUsgYPJRL6pYqiqHhz\nBEE9xdoluZj0E9aMFcFsaIJQh/Ckz8fBZNJlvItMCQ6HF1arDn4/l7GWoXBgdCNAMWbwgW5oNTSW\nzB+DDz47hT9XH8QfK6aA7ac5V7D1E9QqVLGIBZpRo5F/14+gHRUqUdFXZy9RskeSBAwGNiMtsYIo\n4OsLu/DO6S3w8uFlbUqsY3HbhBtRYMgbxKtLPgiCAEmmVmA4Et74vAZHznbI2vNtOtx3bTmoGKxX\n0tqU3Dli797d+Oabr2Tt99zzALRa5ZhBJZFkjXEUqIv6mdGAokjF3yBFkRBFcTgZIwEkxaLXHzwv\nQKvN3Le9vgjG6WU60QOC2aqkKrJVOU4AQaRPUHUywfMCPJ4ATCYturoyjzhEAkEQ0FkmwNkmSZ2s\nWFKKDz47hUa3A3/XiLhZbuSI/1wMg+xrr4ftiitBUMovnskieyaTFh5PIOPmiWZXC14+/iZquuQi\nt0FoKQ2+X3kdplungyQy37oiVfcYmjnw66pGfLynXtau01B48KZKGGIUTpfWpuSNRRRFPP74n2Xt\nI0eOwrXX3hD2OKX4vGirYQRBUaSiNVwtSYRDiYTZmNJNUF8SAwkFMf2MQ7CqhBqIHiC5OTUaBhzn\nG+pLSTrcbj8sFp0qRXf1fYjemJFWTCzJwfHTbXhr1x7MuPJSjL+Q+P3UTZyE/DvuAqug9dUfiZK9\nYKZ0Jt0nTuCwte4LbDm7FZwYfrwVOZOxatqtsGktGTW+SAhW9xhs1DR0YeOHyuXN7v1uOUZkG2Lu\nM9kvul9++QUOHToga7///nVgGGUSyvm74XdfkLXHEp8HhE8qUQuXGEokRPQkLT35TZBcg4Qq3IQc\np57yVIEAD4NBPfIdPh8Hi0UHl0t9RA+QXLg2mx5+P6cqq6XGNBoEpYHIS/dtxZISHD/dBt7H4w2D\nDz9hCej88c8btquuRs4NN8Xk6omX7NE0CZ2OQWdnEk2RKca57jq8fGwzLrjk2m1BmFgjbim7DtNz\nK5BtNarKssww1KDPGR3dXqx/qwqcgpv1pqXjUTk+J65+kxlrKAgC1q//i6y9tLQMK1ZcHfY4JWse\no80Fo8mK+tzB36oSX6AocthtmyBS4roFejXohuLNKZmQLHqaob6MpCBYVUIt4HmhJx40058zJQiC\nCIfDB7NZh85Od8a/NAVBEBR05lK4O6XqFwtmj8KGV/fD6fKjZu9pvH77HCzf0Y3sLh4BCvCxJAI+\nEziCgUjRKB5hhcmkB8EwIGgaBMOAd7kgchwsixfDWDE1ruuKlewRBAGzWQeHw5cRsZRezof3zn6E\nbfVfQ0T4650/YjauL7kaBkYPhqEgCGLGuaQjIVwsWKrgD/B4/K0qdLnkhGx+eT5WzIk/czmZFr1P\nPvkQJ0/KLY5r1jwUMetVKT4vVmteJC3AYYte4kiY6EmK1fI6e0H3baYvwIIggiAip35nEjiOB8uq\ny30bLB6vRvj9HLxeEhaLDnZ75liNBoLeMrGH6GlYGssWjMU/Pj6BrtNtaOECeGN5qDXAXzsRfPMY\nAABFEvjxkkmYV16Q9OuKhexZLFIlE7+fS/p1JBvV7Sfw2om30OENL0Kdo83CbRNvxMSs3kxJtWV/\ns+zgxueJoojntxxHbZNDtm3sCDPuumpi3NaqoIRZMtYljuMUM20rKqZi8eKlYY8TeB+8Tnl8Z3xu\nW/l9Ca69w0gMSaHKygkZvGqYuJqqSkhxeupIlAEAny8AlqVVVfu2P9xuP3hegMmU/vVDo4XWPB4g\neq3LK5aUSP8RgZZ98mB1OqdX/JgXRDz77lF8sLM2JVbOvmQvnHqAyaQFzwtpH7fm9LvwQvVrePLQ\nc2FJHkmQuGLUEvxq7s9CSB5BEGBZGj6feogew9CD+lL4wc5a7DraLGu3GFmsvaECTAIi9sm05r37\n7juoq6uVta9b99OIRNTbXQP0q5hC0Uaw+tgqzgxLq6QWCX+LQYmV/lBX+TC1VZVQx1gAyZLs93Oq\niaMMB4fDC4oiVVMijaQ00JrG9nwuHmHBlAmSbEfr3vPy/Q0O0EWnAKJ3Mdi8rQYvfXwyJZb2SGRP\nr2dBUSQcjvBSJEMNURSxu2k/frvrUexp3h92v5HGQvxi1lpcV7ISLBX6bGm1NPx+TlW1lyVvxuBY\nYA+easNbX5yRtdMUiXU3VMJmSiwkKFmizz6fD88884Ssfe7cSzBnzryIx4YTSY7VShnOdRuUVhlG\nYkihRU9NmbdqIq29enpqgcfjh06nDgIUCV1dHmg0jGqEr/u7d1Yslax6nhYnHLVy6xNTVANN+Q4Q\n+q6ets8PNGD9W1XwpcBKo0T2dDoGGg2T1skJ7Z5OPHnor9h49DU4Ay7FfRiSxnXjV+IXs9ZhlKlY\ncR+djh0yUeFUgCQJkOTgyDE1tDrxzLvVipGQq66aiHGF5oTPkSyL3ubNr6OpqVHWvnbtQxGPE0Ue\nnu5TsvZYZVWA4YzbVCOFRE8dZdCAXlkStSAQUJdVj+OkpAw1jUkJoiiiq8sNnY5VhQVT329BmD9j\nJMxGycrRsrtO8RhS74CmfCfo4hMAIZG7g6fb8MdXD6A7BW7UvmTPYNBAp2PR1ZWeiTGCKODz+q/w\nH7v/hKMdcktLEGW2EvzrnJ/hitFLQJHKvxmWlZIw1JTtLSVtpd6a5/QE8PibVfApxEFfNXcU5k9J\nTmxpMpLQ3G4XNmx4Wta+dOnlqKiojHisz1kHsZ/ANkEyIZb6aBEuBn6Y6CUHCX+LBEGEdWuqxX0r\nCCJEUT1BocHyYWrCt8WqJwgi7HY39Ho240XJKcYEVl/U85lhKFy+cBwAoHlPPVyN3YrHEYQIpvAs\nNFO+AWmULH9nLnTj95v2oTkFMieBAA+vNwCdjoHLlZ4ZthecTfjTviex+dQ/4OeVCa+O1uEHE2/G\ng9NWI08fWc5DbdY8ABfjDVNL9HhBwFPvHEGLQoWUyvHZuHFxbOXNwoGiCIhi4okYL7/8Ijo7Q6t0\nEASBNWseHPBYJbet1lwCIsbSeJEybmmaUpX3aaiQJIue8o2QXJ7qsLKoyarn8/GqI3o+HweKIr8V\nb4CCIFn29HpNxrtx+7tvly+W3LciJ+DQn7ejeU8dREF5ESB1LrCTdoEZdQwgObR0evC7F/eh5kKX\n4v5xX+NFd63D4YXRqEmbeUAQBZzqrMErx9/Ef+75C851K1tBAWB6XiX+fe4/4ZLC2QMunMHfUapJ\n0WCDZemUqg10u/14/oPjOKYQdjAiW497vlOeNGMBTSduzevqsmPjxudk7StXfgclJZHdr6IoKsqq\n6GPMtgWCYwknrTJM8pKBpKz2klVP7mMPBHhVWPSAYPkwShWTnyhKulhq05/zeALQ69m0DpJPFnhe\nsuxZLDqQJAGXgkZXJkBvnYCuxs96PhfmmzCtvAAHq5sgcgJOv3oQjdvPYvrqhRDN8rmEIAC6oBak\ntQWBc1Pg7M7GH185gHu/W47pZbkJX5/BoAHLUrDb3RAEEYIgJqU2brwQRRF1jvPY23wQ+1sOw+6L\nTGotrBm3TrgeU3PLoz6HXs/C41FPpi0gWYt5XkiJy73F7sFHu+vw1eFGBBRc3XoNjQdvrIQ+iRb4\nZMzdL7zwHJxOZ0gbTdO47761Ax4b8LaA9/d/9ghozaWK+0eCxB3kY6FpdcWSDyWS8uSJongxAyj0\nIVdbVQm1jAWQLGAazeBKDaQaXq8fWVlG1WgeDoSgG9di0cNkSu8s0HCgNTmgNdngfO09bSuWlOBg\ndW/VBldDF3b950f457/+B7a37ASvULKL1HqgmbgHXEsx/PUTsP7tKvzgijIsm6GcaBANTCYtKIqE\n3e7uyTxNVm3cWNHoasbe5oPY13wQrZ72gQ8AsLBoPq4dvwI6Whf1eUhSklTpTwAyHRpN8t22dc0O\nfLCzFnuOt0TMTL7vunLkZ+mTem6GoRLSN2xtbcGrr26StV9//U0YOXJgAWcla57GOApUDM9aEDSt\nPBaapiCK4jDZSwKS9oqhXPNWTRa9YLaqXBw6E+H3S+XDAPWUDxNFSUBZr2fhdKpnXJEgioDd7obZ\nrIXVqkN3tzejSC5BENBZyuBo2dHTNmdaMbKsRnTYe8lGwBdA184m/MutP8FLx99Abbdcaw8A6Lzz\noKyt8J8tx0sfA+3dXty4eDzIGBYLkiRgNmt7iHR/DBbZa/N0YF/zQexrOYQGpzwrMhyMjAGrK+5E\niTX2oHi9noXX61fFHNcXLEsnJVNaFEUcr+3Ell11OHK2Y8D9K8dnY8rY7ITP2xeSiHBiGbcbNjwN\nrzf0xVCj0eDuu++P6niPPfFqGEGEyx5WS9hXOiBprttwcStBmRU1lNAJum/VUFVCcmMkvyj2UMPt\n9iMrywC3259RhCdRdHd7odezsFr1cDiGxq0YL/SWiSFEj6ZJXL5wDP727pGQ/d58829YtWo1/mnm\nGnxW/yXeO/MRAoLcSkOwPmgm7AfXNgJb9vrR2e3DqpWTwETx0skwFEwmLbzeQEQx5FSRvS5fN/a3\nHMa+5oM4GyHmLhxIgsSPy2+Pi+SRJAGNhkFHh7IkS6aCpsmecJV4IQgi9p9sxZZdtTjbKK9yoQSK\nJHD1/NFxnzMcGCYx/byGhvN48803ZO233voD5OfnD3g85++G3yN/8YgnPi8SN2CYYddtspA0i164\nIPigBp0aiF6wqoQaiB4gVZXQaBhwnHqsX6Iowuv1f6usekG43X4EAjzMZi3cbn/GxFmxhiKQtAEC\n10swli8ajzfeqw6JqbpwoQE7dnyNBQsW4vJRi1GZMxkvH9+M03Z5CSYAoHMaQVnasfvcZNj/5sPa\nGyqgjxB+odMx0OvZqIlbssieK+DGwdYq7G0+hFOdNRHr0PYHSZCYnFWGkaZiEAAmZU/AOEt85KLX\nmqeuFySNhonbbRvgBHxzpBEf7qpDc+fAFkEtS2Hq+BxkW7SYVpqDkiJLXOeNhESrezz99HpwXOjc\nYDAYsGrV6qiOV3LbMto80BpbzNcSydDwbUisGywkjeiFS8gIVpVQQxKD38/BaFRPGSqfT3Lfulzq\nIkRud+BbadUDJPLR2emG2awDy9JwONLflUsQJHSWMrjaD/S05eUYMGdGGXbtC11U3njjNSxYsFDa\nR5+Ln0y/F1817MQ7NR/ApyArQjB+aEoP4kxHI373qgM/v3Eussyhv2GSJGAyaUEQBDo73TF9X/GS\nPS/nQ1XbUextPohjHScV4w7DgQCBUus4zMqfhml5FTAwicd/qdWaB0jxebG6bd1eDtsONuCTPfXo\niiLRyWxgccWsYiydXhTxZSIZYFkq7njcmprTeP/9f8ja77zzR7DZoiNqSkQvHpFkIHx1j+FEjOQi\naUQvUkKGwaAOKQ+Ok9zQBEGo4q03mIWmtuxbURTh8fhhMGgyMkEhUQRjy3Q6FjabHi6XP+0L0+st\nE0KIHgAsXzRKRvS+/HIbmpubkJ8vic6SBIlFxZegPHsSXj3xJo51nFTsn8pqRqf5Yzzy9wv4+fJr\nMCrfBADQahkYDCzc7kDcunHRkr2AwOFo+3HsbT6IqrZjCAix3ZMx5lGYlT8NM/IqYdEkXlmhLwwG\nDTwe9VnzGEYSfo7Wo2R3+vDJnnpsO9gAj2/gOTHPqsOKuaOwoKIgobq10YIgEqvu8dRTj0HoJ1dk\ns9lw++0/jOp4gffC6zwna483Po9hSLhcciPQcCJGcpFUBhYuIYOi1BNUGawqoQYLJQB4verLvgUk\nAeWsLIPqYhBjgcfjh9/PwWTSQqOh4XT60jaEQmsaB4JkIPYhPzPKs5GXl4OWlraeNp7n8fbbm2US\nENk6G9ZM/TF2Nu3Dm6fehYeTW3AIOgCu6AD+a8d5rKq4FZfPkGpy2u2ehL+XcGSPF3ic7KzB3paD\nONR6BB4uthePQkMBZuVPw8z8qcjRJTeoPwiaJsEwFJxO9b0URZtt29Thxoe7avHNkSZw/MBkd3SB\nCSvnjcbMstxBFdJn2fire1RXV2Hr1o9l7T/60T0wGIxR9eHprgHE0N+KJHxeGNc1UVR4i94wkoek\num6VEjIk9W5BNQuu368ePT1AitOz2fSqi2cTRcDlkqx66VyXNNXgeeGidY+B1aqD18vB7falXVYl\nQdLQmkvgsR/raaMoEiuvmI0XXt4Ssu/bb2/G3XffB5oOnb4IgsD8EbMwOasMr594G4faqpXPZW7F\n82eewomuZbipciF4UQAn8OBFDrwggBe5i5/5nr+8wIMTuYt/pc99t3MCB17kIRIiKAZwe31w+tw4\n0nYMjkBsUiU52qyL5G4aCo3JKZcVCQaDBm63+jJtAYnodUaolnLmQje27KzF/pOtUUVGlo+x4ap5\nozFptG1IrE2JxIivX/8XWVteXj5uvvm2qPsI57aN57ugaRKCICg+dwwzXBEjmUiqRS9c8GSwqoQa\niF4gwEOvZ6EWWZJgPUtJNV4d5DWIYNkqllVHpnQi8HgC8Ho5GAxsT/xiuiVr6C0TQogeACydl4NN\nr1Hg+d7719zchK++2o4lS5Yp9mPRmLG64k7sbzmM146/DTcvX+gJiscO+yfYsf2T5A4iTlhYM2bm\nT8Ws/GkYZSoetEWOZSmQJJH2rv14wLJ0Tx3svhBFEUfOdmDLzlocr7MP2A9BALMn5uGquaMxusCU\nqsuNCixLweOJfe3Zs2cXduz4WtZ+zz0PQKuNLu5cFHl4uk/L2uN324YPGRpOxEgukkr0IlXIkEpu\nZf5kEnTxUBQBPgoTfybA6w1Aq2VUR/QAwOn0wWTSqjLIPFaIogin0wePJwCDge2pZ5ouhE9S1SeA\nPrYVm5HHpQvm44vtX4Xsu3nz62GJHiDNRTPzp2KCrQSvHn8HB9sOpeiq44eB0WN6bgVm5U/DeOtY\nkMTgL25Go1a1caxaLRNCYHlBwJ7jLdiysw71LQNbWWmKxKWVI7Bizkjk2ZIreBwPguXAYl13zp07\ng9/+9v/J2keOHIVrr70h6n58zlqIfOizQpAstMYxMV1PEOE8Y8OJGMlHUoleuISMQICHwaBJ5qmG\nFH6/RFzTZYFMFD6flE2sxooSgQAPjpOssJF00b5N4HkB3d1eUBQJg4HtKXnl8QSGNBifonXQGEfD\n1y/Y++orpsuI3tdfb0dDw3kUFSlXviAIAjodg+xsA36W/WNsO7kXG4+8AZ4aWje+hmJRmTMFs/Kn\nYlJWGShy6OKX9XoWHMerLj4XkLKIGYZCd7cHvgCPrw434qPddWjrGpjU6jU0ls4owuWzRsJiYAfh\naqNDPF6Xbds+w7/928OKlU7uv38dGCb6DGF3lzzRSWseD4KMj0bQNKUYMjSciJF8JD0dVqk0S5A8\nqIVI+P0cdDpGNUQP6NXUizfzMJ3hdPpgsxng9QZU8fwlC30Jn07HICvLAL+fg9cbGLLFX2+ZICN6\n5eNpFBYW4cKFhp42URTx9tubsXbtQyH7MgwFrZYBy9Lw+QI9iRYzR0xBiW0s/rjtZXSycvdTqlFm\nG4eFRZdgSvYksNTQl1IkSYkIR4pfy2RoNAzaO134x9dnsXXveTijmKttJg2umDUSi6cVQqdJP6WI\nWIwLPM/jmWeewLPPPqm4PTs7BytWXB31uUVRVKyGEY9IMoCeBBal+Thc8YVhxA9CTPIrvCCIaG+X\nvz2YzVr4fJxqkhiys43o6HCqJoCZpkmYTDp0dqrTxanTsWBZ6ludmDEQCEJaIHU6BgABny8Av58b\n1Nhazm/HherHZO0f7bHgiSefCmkzmy349NMvodNpwbI0NBoGgAiPJwCfL6D42xREEf/3+Rc44PwK\npN4BiAQgUoBIQBTIi59J6Z9AQBRJUAQJk06LLJMOFr0WNEmBImjpL0mBJqS/FBH8v7TN7u2CI+DE\nguI5mD9u6qDWxh0IFosOfj+vyhe7jm4vvjjciI931cEXxfc9IluPFXNHYX55Aeg0jQ0jCCAry6i4\ntvZHd3cXfvnLX+Drr7eH3eeRR34fk9vW725C04ln+18Viir+Ka76thoNDY2GRne33MKanW0c1Ezm\nbwOS/tpCkoRiWZNgQoZaiF4w7lAt45EWc/Vp6gXh8fih0ehTUtxcLQjWCvZ6A6BpEhoNA7NZmsR9\nPg5+P5fyZ4NmrWB0BQh4mkLaly+ZjGeepcFxvfeuu7sL9923Ci+//AoIgoDD4RmQlJIEgXuXLcGB\nk+V4+8szON8a3YuNB0ALAKuRxdzJ+ZhfXoCRecao3UuDURs3Wmg0NAiCUB3Ja2h1YsuuOuw62gw+\nCsv9+CIzVs4djamlOTHVQh4KsGx0ElgnT57Az362FufPK9eCtlisePjhf8XVV383pvMrZdtqjKPj\nInlA+EQMiiKHSV4KkHSLXjDgu7/7VrIYaVXjKtBqGTBM/Arl6QjJ5UUpvmWpATRNwmLRoaPDrTph\n2FSCpkmwLA2WpUHTJAIBvucfxwlJ/y7tjdvQ3RRqjdCZx+J/NhzAli0fyPavrJyGxx9/GhaLNeZz\ntdo92Hm0GTurm9DYHtvcVJhjwPzyfMydnI8cy8ALHsNQQ072CIJAVpYeXV0Dk+JMwcl6O7bsrMWh\nmvao9q8cn42V80ajtNiSMXFgJpMWgQAfMTt6y5b38Mgj/wavV3n+XrRoCf7jP/4bZnNsYtuiKKLp\n+NMIeFtD2o05c5E18sqY+grCZpNqcvd/BrVaBkajJmPuS6YgJUTP5+MU1CQocAAAIABJREFUCZDk\n7nSpYpElSQI2myEqU3omITvbiM5Ol2pj2QwGFhRFqpbMphoEIQVLsywFhqEuiqFLEj0cJ4DnJTkL\nQQj+je45Ikni4j8Sfk8T6g73iy0iSPgM38Gtt94mU/YHgHHjSvDUUxt6KmbEClEUUdfsxI7qJuw6\n1owuZ2zWrrJiC+aVF2DWxDwYdeFj8Iaa7JnNWvC8AFcUZb3SGYIo4tDpNmzZWYfTDV0D7k8SBOZO\nliRSivOiEwdOJ0SalwOBAP73fx/FSy9tVDyWIAjcd99arF59P0gydte0t/sMWmpekrWb8ubDVnRF\nzP1JLxvKa2dQ3H2Y6CUXSSd6QKQ4PR283oBqZDysVj1cLt+Qu2KSiWB2tNrq3/aFzaaH2+0fduEm\nCSQpySpRFAWKksiaFMJB9EzYoiiRqeBsQxDShB+cz0VRBM+LF8tV8Ti151FwvlCNs+zR1+HjL07i\nN7/5d8WXxYKCEXjqqecwduy4hMYjCCKO1XVi55Em7DvZCm8MGowUSaByfDbmlxdgakm2YlmsoSJ7\nGg0NvZ7NaK8KxwvYdbQZW3bV4ULbwG53liGxqLIQy+eMjMrqmo5gGAoGgwZ2u/y+tbe34eGHf4p9\n+/YoHms0mvD73/8RixYtifv8LTWvwCvTzyOQX3YXNIaRMfcnxecx6O6Wx0sPx+elBikhegDQ0eGS\nxenpdAwoilRNFQa9ngVJEqoZDxC0VOrR3q7OpAxAigOxWnUxF7AfRvwIkrpeYtdL/pTQcf5DOFt3\nh7TprJOQO/ZmfPrpx/iXf/k5AgG5G8tqteLxx59FRUVlUq7bF+Bx6HQbdlY3o+pMe1SxXz3Xq6Ew\nc0Ie5k/Ox4RRtpAFbLDJXvB3nYxyb0MBr5/D9oMX8NGeenQ6Bp5vjToGl80sxmUziyNaWDMBRqMG\ngiDK5KGqqg7j5z9fh5aWZsXjSkpK8T//sx6jRo2O+9wBbxsaj8kzdy0jlsFScGlcfRqNGvC8IMsg\npigSWVmGuPocRmSkhOiFi9OjqGCMlDpIBEURsFj0qhlPEGazrkdmQ63Q6RhoNDTs9uEs3HSE13EW\nLac3hbQRJIPiil+AIGns2bMTDz20Bi6X/Len0+nxpz89hksuiW8hCgeH24+9x1uw42gzTp8f2F3Y\nFzaTBnMn5WNeeX5PEsdgkj2rVQefj8s4Sahulx9b953H5/vPw+Ud2AKfa9XhilnFWFhZCA2rDpmO\n7GwD7HZ3iFDyW2+9gf/8z98ovuwAwJVXrsSvf/1b6PWJEaeO+g/gbNsb0kaxVhROXgsiToHvrCwD\nurrkLxzD8XmpQ8qIXrg4vaws6aFViyVFje5bhqG+FdUkLBYdAgF+WEg5DSGKAhqqHoXQT4k/d9z3\noLOUAQCOHz+KBx5YjY4OeRA+TTP47W//E1dddU1Kri+RJI6iHAPmXUziGJFjTDnZMxhY0HRmSQu1\n2D34aHcdvjrciEAUSSPFuQbcfFkZKsZmQTWaV5C7bf1+P/7rv36Lt956Q3F/kiTx0EP/hDvuWJUw\nYeI5Dy5U/wWiEEomrUXLYc6bF1efJEnAalU2jgzH56UOKXPdhovTiyZ7KJOgNnd0EFarHh6PuuPY\nCILoyf5SE1FXC9rOvQN35+GQNkP2DGSP6iVvdXW1eOCBuxXlJAiCwMMP/ytuu+2OlF2jKIqobXZg\nZ3Uzdh1tRleMSQ5lI61YUDkCl88ZBYETkv4csiwFo1FSO8iEJLi6Zgc+2FmLPcdbouJrE0ZacdW8\n0Zg1KQ96Pas6C31fN2dzcxN+/vMHceTIYcV9bTYb/vCHP2POnPhIWH90N38N+4VPQ9oIkkXRlJ+C\npOKrdBVJrWI4Pi91SBnRA5Tj9CIJJWYi1BrTxrIU9HrlAGA1Ieg+G47XSz+47cfQdjbUckHSBhRN\n+VnIW39rawvWrLkHJ08eV+xn9er78cADD6bcUiAIIo7VdmJndRP2nmyFL4YkDpoiMHNiPuZMzMOU\nsTbFJI5YEZyb0kG7LxJEUcTx2k58sKsO1Wc7BtyfADC9LBdXzRuF8YUWANKLqdvtgz+G7zwTEMy2\n3b17Fx5++KeK1msAmDx5Cv70p8cwYkRhUs4rijwuVD8GPuAIaTflzoWtOD5JFSB84YTh+LzUImVE\nL1ycnhplSaxWHdxuv+omGZtND6dTXW5pJeh07MV4PXWT2kyDwPtxvuqPgBj6/OWXrZJl+zkcDjz0\n0P3Yty80niiIG2+8Bf/6r7++KAeTegSTOHYcacKRsx0xJXHoNTRmTMjFvMn5yLFoQRJEr/wM0fuX\nIgmQJHo+9yeyVqv+YlxeeoYmCIKI/SdbsWVXLc42OgbcnyIJzJ9SgKvmjsKI7F5SwDAUjEZNRmcT\nK4FlKeh0DJ544hn8+c//DZ5Xnoevu+5G/PKX/w8aTfLqybs6jqC99i1Ze+HkdaA1trj7DScTMxyf\nl1qklOj5/Zyi5S6cWGKmQo3iyYBkfdVqmYyK7YkXJpMWAFR3DzMdLTWvwtt9KqTNlHcJbEWXy/b1\n+Xz4l3/5OT7/fKtiX5dddgV+//tHk7ogRgOH2489x1uws7o5Ks23eEGgV4+Q6ksMCYAItvUjigQh\nkcX+20L6uZgx3dOnwr4UQYCI0A9JAP+fvTcPj5s81//vV+tIs3vJHrKROBDHTkKABgJlLVt7Sg+l\nLfRAoaSsBbr3tIUWaAmcAv2xlLDmpMAXUpYCp4XSQilb2kIhixMSSCBmTeJs9uyjWST9/pA19lia\nscfWbBp9rssX4dWM9Go8lm497/PcD01RoIg2x3RWwWtdO7G7b/hri4ujccyCyTjx0KkIeo2/O79f\ns+2yW5oJTSv4yU/+G88880fT7QzD4r//+2c444yvWiqQVFXF7m0rkU7szBsX/HPROvMro95vsaYJ\nPp/WxtAReuWhrEu3qqpi3z5j5M7t5qGqxnLxeqWYAWS909TkbpgctmBQhCRl6q4y0c7E9q1D7yfP\n5I0xfDMmHXyZ6euz2Syuv/4aPPXUE6bbFy8+DLfeugIeT3VMc/eEknhjcw/+tXk3enrtFYGyGp+b\nw4mLp+DYhZMhuswtUrRonst2Pbo/+eRj/OhHV+Kdd94x3d7aOg633HI7OjoWWH7sVOwT7H5vlWF8\n3OxvwOUZvVWLKHIghJh6tLa0jLydoEPp0Ndcc8015TxAJiOb5j4JAmebggxAu+AAqEuPqmIoigpR\n5CCNwNqg3kmns/B6tc4Bg60MHKoHzXoR3fOvvDFFTkIMzgPNiIbXUxSFz372WGSzWaxfv9awfefO\nHfjnP9fg2GOPhyga319u3C4WbQcEcdyiyVgwuwUcQ2NfWEKqAR6kRsq4gIAzPjsLF5x2EOZOayqa\nr+jzuZBMpm113V2z5lVcdtky7Nixw3T7okWLcc89/4sZM2aV5fh9O55HVtqXN8YKExGYeOyYxJjb\nzUOSMgY9wLI0XC7WEXplpOwRPUnKmFak2q3VFscxEAR7LnM2Sq4eMNAP1069QOudnm3/i3T807yx\nwKTj4Rt/ZNH3Pfzwg7jppuWm26ZOPQB33bUSU6aU7uxvNbKi9Bdx7MbaEos47MS0CV6c+plpOGRO\n64iqL+2Wm6coClauvAcrVtxesEL6rLPOwfe+9yOwbHlMoLPpEHZuvgNA/vGbp50Od9PoTciLFS16\nPLwj9MpMWYUeoH15zX65drNZATRjSztWb/I8A0HgGqZYgeMYeDy8rfwe6xkzmwdOnIwJbRcM+95n\nn/0TfvGLnyCbNUakW1paceed96Gtba5lcx0rqYyMDe/tw0vrPsXO/QkwNAHL0MjKCuT+3sGKokJR\nB/4rK2pdW8dNn+DFl4+ZhYOmBUu62dvJAioajeLqq/8bL7/8oul2l8uFq6++Dqed9h9lnUffjucR\n3fN63hjNeDBp3pUg1OgLmYrbqrhH1YPXYeSUXegB5jYrdoyA2S33cDDBoGYMbbfK4kIIAguXi0Uo\nlKwL/zE7k5H2Y9c7dxrGJ7d/FzTrHfb9//jHa/j+96+AJBmvNR6PB7feugKLFx9myVzLwXAdNAgh\n8PtdSCTSiCcyRhGoaP9VVBWKigGxOOg1iqpCVbToYu41g94/+HXae2F+HHXwvpEnSgcfpzcmQUpl\nsWTeRCztmFjyZ8JxmpGwHaJ527e/j+9979v46KMPTbdPmjQZv/nNbzF37kFlnYcip7Dj7VuhKvkr\ncP6Jx8I/4agx7dvvF5BMGvvcMwyFYNCxVSk3ZRd6uvAZKn4IAZqaPOjtjdX10+hg7NbibTB2urCO\nFLebA8syCIcTtvmO1is7t6xANpWfN9Q09TR4Wg4Z0fs3berCt799IcJhY9Urx3G48cbf4LjjjJW8\ntUIhsUcI4PeLyGSyiJdo1lzP2OXB829/+yt+/vOfIJEwv64uWXIkbrzxFvj9gbLPJbr33+j79C95\nY4QwmNT+HdN82JFS7F4vilyuSMOhfJQ9XkoIAc8zhnFVBbJZGSxr3FavyLICRVFzhRl2Ip3Wimpc\nBarf7Eg8nkY2K8PnE6o9lYZHDLQZxhLhrSN+//z5nVi16hGMHz/BsC2dTuMHP7iiYKVuLZDJyIhE\nJPh8rrzri88nIJuVG0rkuVwsFEWta5EnyzJuu+0W/OAHVxYUeRdccBF++9t7KyLyVFVBdM8bhnF3\nU8eYRB4AsCyDbFY2fVh2Wp5VhoosjDMMbZpcm0plTUVgPSNJGQiCPcVQPJ7qf/qq9kwqRyyWgqKo\n8PsdsVdNBL9R6EnRD6DII289OHPmLDzwwGrMmDHTsE1RFFx77VVYufKeml2qHyr2/H4BiqLarv1i\nMQjRokBmFh31QijUh0sv/RZWrbrPdLvb7cFvfnMHLr/8uxUz+E6G30M23WcY97YePuZ98zxjmkdJ\nUQSMBR1gHIanIkJPVVVwnFHQpdNZ0/F6JpXKgGUZW/bsy/b34hQErtpTqSjRqOSIvSrDiZNBMUO8\n71QZUmR7SfuZMGEiVq16GPPnd5puv+OO/w833XQDFKU2K651sad/FxvN4FsQOGQyct1WxL/zzmac\nddYZeOONf5punzVrFh5++DEcd9yJFZ1XdO/rhjGXdxZYoXXM++Y4xpCbp4/X6kOV3ahYqYtZ5E5R\nVMiyYqulTlXVxJ5dlzjj8RQEgbOlkC2GI/aqCyEEoklUr5TlW51AIIh7712FI45Yarr9kUcexM9+\n9iNkMrW5HCqKmthhGMpW187hoCgCQajfaN6f/vQ0zjvvbOzatdN0+wknfA5PPPEUpk83RpzLSTrR\ng1TsI8O4d9zYo3ksS+dSmoZit9W8WqYiQo8QUvCClEplwPP2EkXJpH2XbxVFRTKZhttd2TZStcBg\nsddIy9e1guCfYxhLRt6DqpaeqyUIIm67bQVOOeXzptufe+4ZXHnlpUgma6f4SCu80JZrw+Gkac6e\nnXG7eSST6bqzPMpk0rjhhutw9dX/jVTKKFIJIbj88u9i5cr7wDCVv66aRfMYVwtc3rEbMrtcLFIp\ncws1lqWd/LwKUVHzGrNlWjvm6cmygmxWsd156SQSabAs3TA3mMFEoxJkWYHfLzoXqQrj8s4AofLT\nBlRZMo1GjASW5XD99b/G2Wefa7r9n/9cgwsvPB+hkDF3qdJoFioiZFnJLdcWKtCwI/r1pt6sq/bu\n3YMLLzwfjz76iOl2n8+PO++8F5deehkUBRXvyCNnYoj3vW2cV+vhllzfOM48P89uKVu1TkWFXqHl\n22xWBsfZ60KVTKZtncsWi0nweBovqgegv0tIFoGA0HBL2NWEUAwE34GG8USo9OVbHYqi8MMf/gSX\nX/5d0+2bNnXhm9/8L/T07Br1McYKRREEAgIymayh8KJRxJ7H40IsVl/5iBs2rMPZZ59h2ooPAObM\nmYvVq/+AI444CoLAIZmsvIiN7nsTUPPzHSlagDiGLhg6HKdV2zrLttWnYkKvkM0KoEf17LXUmU7L\n/VVF9nT8TqdlyLJqazFbjHg8DUnKIBAQbfs7rkXMqm+T4a1jSuomhOCCCy7Cz3/+S1OH/u7u7fjG\nN85Cd3dphR9WwDAUAgERkpQpaKFid7EnCBxkWakbOxVVVfHoo49g2bJvYO/evaavOfXUL+CBB1Zj\n8uQpYBgKFEUqfn6KkkFsn1GEeloOAUWN/X5cqNpW3+asiFSOit+hzMReKmW/6lugMaJ6osg2bFQr\nmdT6OPv9gu0i0rWK4JuNoZctORNBJtkz5n3/53+eiZtvvh0cZ/yb3b27B+effzY2btww5uOMFI7T\nLFRisRSSyeKtIu0q9iiKQBTZuonmSZKEX/zip7jhhuuQzRp/ZwzD4Mc//hmuv/7XEAStsKta0bxE\n39tQskNyUAkFT+uhluy/0LKtE82rPBUXembVqKqqLd/a7QsgSRlwnD2tVgC9MCMDr9dV7alUjXQ6\ni3A4CY/HZdsCnFqCYlxweacZxkdTfWvGccedgBUr7ofH4zFsC4fDuPDC8/GPf7xmybGKIQgsPB4X\nwuGkqTWFGXYUe16vC8lkpi4KMHbu3IFvfvPr+OMfnzLd3tTUjHvuWYWzzjonF82iKAKOYyre811V\nVUNPWwAQA/PAjKCt4HDwvG6SbPy92dWRopapqNDTq2/NQraSlLGd0FNVQJLsHdVLJNKgqMLL8o1A\nNqsgFErA5WIbWvRWCtPl2zHk6Q1l8eLDcP/9D6G5ucWwTZKSuPLKS/Dss3+y7HhD8Xpd/X2WEyX7\nxdlJ7OnLe/VQgPH66//E2WefgS1bNptu7+joxOrVT+KQQ/KjZaLIQZLSFW+xKEW7kZGMy8o+CyxV\nAO13ZyZei2kAh/JRleQil8vcPJllGdvZViSTmqeenb/Y0ahWmGHncxwORVFzfYADAdG2UdxawEzo\nZaTdyKasq46dO/cgPPDAakydeoBhWzabxc9+9kM8/PCDlh0P0IsutHZTfX2JUUex7CD2CCHwePia\nX7JVVRW/+91KXHrpMoRCIdPXnHnm13D//Q9h/PjxeeNa3jo77LJ8OYjuNbY7490HgBMnjXnfhGht\nz8wi0Wb3fofyUxWhZ1Z4oapAJmO/ogxFUZFK2ddXD9AiWpKUadgq3MFEoxJSqSyCQdHJ2ysTDOcH\nK0w0jFu1fKszZcpU/O53j6Ct7SDT7TfdtBy33/4bS9z9OY5GMCgilcpa0u2i3sWex8NDkjI13QEj\nkYjjRz/6Lm699SbTTiosy+Kaa67Hz352jWnepyBoHnOVXpbOSPsgRd43jHvHfcaS/fM8i3Q6axql\ndJZtq0PFhZ4euqVpY8RDj37ZDa0ow37nNZh4PA2GoW1ZVFMqyWQakYgEj8cFt9u+y/bVRAyYV99a\nTXNzC+6//0EsXnyY6fb//d97cd11VyObHVkenRluNwePx4VIRLI0Kb9exR7HMWAYumCVcS3w0Ucf\n4L/+66t44YW/mG4fP34CVq16BKeffkbBfQgCWx1LFZNoHs0FTA3JR4PLxZou29K01tu2kVd+qkVV\nInqqqppG7jIZzZKEpu1lVyHLan+PWHuLvWg0Ca+Xd5YtoX2X+/oSYBja8dsrA2bLt6nYx5CHVhFa\ngNfrxZ133ofjjzfvP/rUU0/ghz/8DiSptEicvlTLMDT6+hLIZKy316g3sUdRBF4vj2g0We2pFOTl\nl/+Or3/9THR3G6NiAHDooYdj9eo/oL19fsF9CAKbs6iqJHI2gfj+LsO4t/UwEDL2+y5Na1YxZt9l\nnmed3rZVoiqKihBSMHInSfaM6iUS9i7KALQl3Eavwh2MqmqtqvSl3EYuWLEa1jUONBcYMqoiGX6v\nLMfjeR6//vWtOOOMr5huf+mlv+Gyy5YhGo2OcH9M/1JtBuFwsqw3wHoSe3qVbS0u2SqKghUrbsd3\nvnMpYrGY6WvOPfebuOuulWhqai66r2pZqsT2rYOq5kefCcXB07zQkv0Xiubp25xoXnWoWuiMpilT\no1lN6NnvhpjNam3R7ChiB5NIpIsK+UYkmcwgFEpCFDn4fC7nYmcBhBCIBcyTywVN07jqqmvxrW9d\nYrp97dq3cMEF52Dv3j0F90EIgc/ngihyCIWSFUvErwexJwhszVbZRiJhXHHFJbj33hWm210uAf/z\nP7/B9773IzBM8fuXy8Xm7geVRFVlxPa9aRj3NC8ERVuTX+1ymVfbMgxlu5W6eqJqn7yqqqZiQGuJ\nptgy1yuRSEEU7R3VA7QlXLebc/6wByHLCvr6EpBlBU1NTnTPCsyWb6XodihK+cQTIQSXXXYlfvzj\nn5lu37btXZx//tfxyScfG7bxPIOmJjHvu1BJalns0TQFUeQQidTeku17723F179+JtasecV0+9Sp\nB+Chh36Pk046dUT7E0UOiURq+BdaTKJvC+TM0IgzgbfVPP+0VLSWZ4ppcYnL5SzbVpOq3Yn10nIz\n7Lp8qz3F2T9XT5ZVxONp+HzOEu5Q4vE0wuEkBIGD3+/k7o0F3nMAKFrIG1OVDKRod9mPfdZZ5+CG\nG24Gwxj/lj/99BN84xtn4d13twDQ8s78fgGCwCEcTla1yKBWxZ7P50I8nq4ZY+R0Oo3169fh3ntX\n4JxzvmYq3AHgqKM+i4cffgKzZxsfOswQBBbZrFyFaJ5qWoQh+NvA8EFLjiEIhZdted5Ztq0mVQ0r\nEKI9BQz120mlsvB4XKAoUjN/+FYRj6fh9wtV8U6qJJKUAcvS/V5YlX96rWV0g2VB4BAMikgmMzW5\nXFXrEEJB8M9BvDc/uTwZ2mq6rGs1p5zyefj9AXz/+1cgmcwvAunt3Y8LLjgHd9yxAieccCySyWxV\ncrLMGCz2IhGpLEUgpeDx8DmLpmoRiUTQ1bUe69evxYYN6/D22xuRThf/fV100WW46KLLTPsjF0Jf\nsq806fgnSCd2GsatslTR+rrTSKWM56YZX1tyGIdRQtQqxlNVVatGDYeNXw6Ph4eiqLa8AXq9rv7C\nBfud22AI0cyDE4l0webWjQ5FacawDEMjFpPqpnF7rZAIvYt9HzyWN0YxIia3f8+SKsKRsGlTFy6/\n/KKChrnBYBCdnQtzPwcf3A6Xq/rRbpalqy72eJ6BKHI5s/FK0dOzC+vXr8X69euwfv1beP/990a8\ntOjxeHD99b/GZz97XEnHFAQODENZ4pNYKns/eBzJ0Dt5Y5wwEePbllkSaRNFDhRFTB/q/X7B6YZR\nZaoq9HR6e2OGMnOapuD3C+jtjVdpVuWDpikEAtq5Vf/TLy/6uYZCyYrnJNUTevRTUVTE46marDqs\nRRQ5jR2bbjZUEo6bfR5cHmNXi3LxwQfduOSSC9DTs2vY1zIMg7lzD84Tf0O7JlSKaoq9Sl0bFEVB\nd/f7WL9+HdatewsbNqzDrl3G6NZIaGpqxqpVD2PatOklvY8QoKnJXZXrYDYVws4tdwDIv9k0T/sS\n3E2FLWBKoanJjXDYeG40TdDUZOwb7VBZqi70VFVFMplBPG7+JCBJGVtGg7xeF2RZsWXEciguFwtB\nYCv+1F6PuFwsRJFDJiMjHk/ZLnWhHOzt/j2S4W15Y95xSxCcbO57Vw4oiiAS6cV5552L998v3eJl\n4sRJ6OxckBN+s2e3gWUrk8tbLbGnpS2kIUnWXt/T6TQ2b34b69e/1b8Uux7RaGTM+6UoCnfdtRKH\nH76k5PeKolacVo1oXt+nzyO69/W8MZr1YtLBV4BQY8/T5HkGLhdrujLndvO5amqH6lF1oQdolbb7\n9xt9iTiOgSiyVclpKDcURRAMutHXF2+Im7mWcwlEIrXdu7IWIERb5hEEDqmUlr/XCN+R0RLbvx69\nH/8pb4zhgph48LfLfoOhKAJR5Pp7lqaxa9dufPOb52D7dnMz3ZHicglob5+fE34dHZ0IBKxJmjej\n0mLP53NBUVRL8ncjkTA2bFiPDRu0pdjNmzcNm183EpqbW7Bw4SKMGzcehBB87nOnoLOzdL+5al7r\nFTmFHW/fClXJ/5z9E4+Ff8JRlhwjEBCQSGRMe9s2N3ucgrMaoCaEnqqquR6hQykUErYDbjcHQszz\nGuxIICAinc42RBTTCgghEEUWLpcj+IohZ+LY8fZvMHRpasLci8EJ48pyzMECT5LSSCQyuRyvdDqN\nO+74DV588QXs3bsHmYw1RQYzZszMW+6dPn1GSYUAw1EpsSeKHDiOQSg0ugj/rl07c/l1GzasLSm/\nrhjTpk3HwoWH5H6mTj3AkgcFj8cFVVWqUm0d3fMG+nb8NW+MEAaT2r8DmhHHvH+GoeDzmadY8TwD\nr9fxDa0Fakbo6ZWIQymW5FnvVDNvoxroLZ+cooPSGCz4dKHcCN+XUti9bRVS8U/yxqyMWujofm8c\nxxgEnhmZTBpbt25FV9d6dHWtx4YN67Bnz25L5uLz+dHRoS33LliwAPPmzYcouse0z3KLPY6j4fG4\nEAolRvTQoigKtm9/r79oYi3Wr187ojzI4aBpGnPnHoxFizRRt2DBomG7WYzuONXLx1ZVBbu23Ils\nui9v3NN8CJoOOM2SY3g8PGRZNS0s1Nr7UY7QqwFqQujp9PXFDUnohBA0NbnR2xuzZeGCy8WC5xnT\n/AY7wjBakU2jiFsrIQRwuTgIAgtZ1qq2HcGsEdn9L4R2vpA3xomTMKFtmSX75zgagqDlWSWTGUhS\netTXo56eXf2iTxN/W7e+A1ke+++RpmnMmdOWF/WbOHFSyTfacok9XfSEw8mCxUapVApbtrydE3VW\n5dcJgojOzgW5aN38+R0QhLFHtIbD7xeQSmWrYh1jVpEOABMPugSsq3XM+9cCFZ5+EZv/x8AwFILB\nsT10OFhHzQg9VVWRSmVNk1U1OxLZtt5zwaAbsVj1/awqhWapwCMUSjhu6aOE5xkIghbt1hLaM7Z8\nEBopmVQvdm35rWF80rzvgOF8o9qnJqxZCAIHRdGiFuUoDEsmE9i8+e1c1K+raz3C4bAl+25tHZcT\nfQsWLMTcuQeBZYfvzmO12COE9FstpfI+w8H5devWrcXmzZssWer4D3U/AAAgAElEQVTW8uv0ZdhF\nmDNn7rCtyaxGq6R3oa+vOs4Ru997AKnYR3ljLu8sjDvw65bsv5hdjNfr6vfPc6J5tUDNCD1AE3v7\n95s/HRTKA7ADHMfA7a68l1Q1cbs5sOzo83QcNBiGgiBwOeNxSco0zAPDUHa9cxcy0t68seCUU+Ft\nXVzSfliWhsvF5j7TZDJdUbsbVVXx0Ucf9Ef8NqCraz26u8dW3KHDcRzmzZs/KOq3oOCSpZViT8/P\n3b79w1y0bv36taOqUDZj+vQZuSVYK/PrxkIwKCIeT5sWKZSbdGIXerbeZxhvnfV1CL5ZlhyjqcmN\nSMQYnSWEoLnZXfXP32GAmhN68Xi6wHq/1k3CjlYrgBbi124q9oxamuH1aqax1bAcsBuEaG2GXC4W\nFEWQSmWRSmUayo8vtPPviOxekzc20ggGw1DgeS2NQlHUflun2omShsMhbNq0MRfx27Rpo6Ebx2iZ\nOnUaOjsXYMECTfzNnHkgaFqz3RiL2NPz67Zs2Yi33noTb775piX5dboP4cKFi8qaXzcWBEF7UKhW\nSs6+D59Gom9j3hjrasWEuRdbIsC0FQVzRwxB4HKFhg61QU0JPUC7OOzfb4zccRydW+6zIwNJu421\nnOn3C8hmFVMfRYfRQdNUzttKVYFUSrM+sLvoS8V3YPe2lfmDhMKU+T8ARRs7UTAMBY5j+vtwIufZ\nWQ+5o9lsFu+/vy2X59fVtR47d+6wZN8ejwfz53fmon6LFi3EpEmtw4q9VCqFzZs3DaqIXYdYLDrm\n+YiiiI6OyufXjRbNTkWsWh6ynIlix+bbADX/2E1TPw9PyyJLjqEvw5vlCDc3uy2tBncYOzUn9IpZ\nrQSDImKxlG2XptxuDhRVHVPNaqG3SdMS3BsnmlkptEgVA47T8mXS6SzS6SwyGblmolVWoaoqdm6+\nFXImX1w0Tz8D7uA8EKJFqDhO+zxUVUU6nUUqZQ8RvGfPbmzcuCEn/LZs2YJsdux/U4QQzJ7dhsMO\nW4x58zrR3t6JKVOmIhIJ9/eH1Spircqva2lpzS3BLlp0CGbPbqt4ft1Y8HpdUJTq2KkAQGjnS4js\nfi1vjGJETJp3JShq7Cbcehcfs1Qjx1KlNqlJoSfLSsEvUSEHbrvQ1ORGNNo4hRnAgO1KPJ6y7dJ8\nLUDTJCdyGIaGLMtIp2VkMrJtvm+9n/wZsX1v5Y15W+ZjxvyzQdM0slk5J3aHtl20G1oF6+Y8a5e+\nvl5L9u31+iyphgUG8uv0nylTptatUGBZGl6vq2r55IqSwc7Nt0HJ5t8/feOPQmDSsZYco1jHqmBQ\nBE07liq1Rs09JhFCQNMUOI42hIVTqSzcbh4MQ9niCdyMWCxV8GnJriiKinA4iUBA6I+y2EN01Bqa\n31UmlweqR7cG/03poi+blevOnJmiCHzNBxuEXrxvG2LRBLJyY918eJ7vz2PTlutUVcWnn36SV937\n3nvbRpUqMlqRl59ft7g/v65pVPuqRTwevqqer4neTQaRB0KVXJBUCIahQNOUqcjjONoReTVKzQk9\nHVHkkU4bxU4ymYYocrZtpZVOZyEIWm/YRirMkGUF4XASfr9QlQbrjcjQSB7L0v0VpwwYhgchBNms\nDFlWkM0qkGXtp9oCkKK0h0GapnI3HoahtYcE8UD0vM9DkQdutoqcQrSv27Jqw3qFEIKpUw/A1KkH\n4POf/yIAIBqN4u23B4o8Nm7cgHjcumiUnl+3aNFiLFy4CO3ttZ1fNxYEgYWiqFWpsgX60572vmEY\nFwPtoFmvJccQRc60WFLbxltyDAfrqUmhRwgBw1BgWdpww08mM/0Nooltl15iMQmBgIhUKlv1m2ol\nyWYVRCISfD5XUVNVh/IwVPjpf4f6D88zOad7XfDp/x34UaCq2k1H+xnZsQnRjqf9aA3kKYrkfmia\nyv1X76SjC089x06PTLm8ByIR2py3/2R4a8MLPTO8Xi+WLDkSS5YcCQCQZRnd3e8PMnTegE8++WiY\nvQwwbtw4LFx4CDo7F2LhwvrLrxsteku8ahYLStFug70QAPjGHW7J/mmagGVp0yALy9JOF4wapuZy\n9HRUVUUmI5vm49m5LZqOKHJgWdrW+YiF4Dgtz8URe7WJLsRomhgEGUVRg8TawEV/4Cqj/4Pk9qWj\nKGpOJCqKUUDK8oCQLEa8723s//DJvDGa9WLSvO84N6JR0Nu7P+fnp1m7dCGb1aJWhBB89rPH4sQT\nP4ejjz4STU3jkck03t+sZo8lF4x2VYI92x+BFMn3W+Q9B2D87PMs2b/Hw0NRVNNe5X6/AJalnb+v\nGqVmH7UI0RLHaZoylKgnkxk0Nblt3eQ9kUgjGBTB80zDFSik0zKiUQl+f/F2SQ7VQVXRH00DgJEt\nsQ9c//V/qLl9WY3gOxAgVJ69hJyJIp3YCd492foD2pympmYce+zxOPbY4wFo/XtffvklbNv2Do45\n5jgcffQSAATRaLIh82v1DhDVFHkZaa9B5AGAt/Uzluyfogh4njUtMtFtihxql5r+7aiqClHkDHYj\nqqpCkrRcPTtH9XSxk07LDeWtBzhiz24YI3rlg6JdcHmmQ4p2540nw1sdoWcBLMvhxBNPwoknngSG\noaCJ95Ev09sJQgg8Hr7qKy/RPf82jDFcEIJ/jiX7F0Wuv7+z8ZcsCBxUVXWieTVMTbsaEkLA80ze\nEpBOIpEGz7Om2+xCNqtAkjLweBozyXWw2NNuKA4OI0PwzzWMJcNbqzAT+8IwFPx+AdFoMpdby7J0\ntadVUbxeHpJU3Q40cjaBeG+XYdzTehgIGft1U4/mmS3Z0jRxetrWAXVx9xRFYxNuVdUrcO0tguLx\nNBiGbtjQ+GCx12g3EYfRYxbJyEh7kUlZ4yPX6LAs3S/ypJwXY6OJPS21iK6aMbJObN86qGp+eg+h\neHiaF1iyf7ebRzKZNo3YCoLx3uxQe9S80COE5Pp3DiWZTIPnadC0vZ8mYjEJHg/fsE9N6fTATYTj\nGuMm4jA2GM4HTpxkGE+GnKjeWOG4gf63g3PyGkns6Uu2sVh1bb5URUZs35uGcU/zQlD02IMgmsk6\nbZp/SFHavblR70v1RM0LPR2zJwctqpexfVQvk5GRSmXh9dr7PIuhV2B7vS7wfGNGNx1KQ/C3Gcac\n5duxobe4CoeTpl6XjSL2vF4eqVS26n6fidAWQ8s/gMDbepgl+xdFHslkxonm1Tl1IfQIIRCEwlE9\n3ZHbzsTjqVyz+kYlm1UQCiXhdvNwucbes9HB3pgJvVT8E8iZ6rSnqndcLhZuN49QqHhxlN3Fnsul\nuUHE49UtBMymw+jb8YJhnPMcAIYPjHn/eoeqQtE8QXCiefVCXamjQrl6iUTGdJvdiES0JVw7F6AM\nhywrCIUSEATtpuPgUAjW1QqGH9peS0Uy8l5V5lPPuN08BIFFKJQw2F2ZYVexR1EEbjdf9c5MipzC\n3u2roWRjhm0c32zJMUSRQyJhHs1rhPutnagboafn6pnl4zVKVE+WFSQSafh8QrWnUlUURUUolADD\nUPD5XNWejkONQggxLcpIht+twmzqF5/PBYahEAolSvIttaPY8/kEJBLpEYndcqGqCvZ98AQy0h6T\nrQRiU+eYj1EsmkfTTm5evVF3yqhQPl48nm4IGxItX0Jt+CcqVQXC4SRUFQgEROei42CKmc2KFOmG\nojROH+nRQghBICDm/a2Vip3EnihqfnHV7EGuqir6PnkOUnS7YRuhOLTMOBMuz9QxH8fj4QtWE9s9\nJ96O1JXQ06N6Zp5qkpQBRVF1fzEZCdGoBEEw/xwaDc3eIYtAQLR9RNehdHj3FFCMmDemqllIEeON\n0mEAmqYQCIhIp7MGw/pSsYPYYxgKgsCO+bMYK9E9ryO2f61hnFAsxs/+BsSA8cGmVFiWBkVRkCSj\noGUYyonm1SF1d2dUVbVgblY8nmqIqJ6iqIhGU/D5BDh/b5p5diKRQiAgOPYrDnkQQkHwmS3fOtW3\nheA4GoGAgEQiZWqSOxrqWewRoi3ZRqOpqrbcTITeQWinsfgCIGiZfgY4caIlx9GieeaFJm4333Bd\nmuxA3Qk9QghYlja9WKTTWaiq2hAVmel0tt9yxclRA4BUKotwOAmPx9Xwy9oO+QgBM5uVbVBVp63e\nUESRg8ej2adY3WO7XsWe1ysglcoina5ez/FUfAf2f/iU6bbglJMsa3XmcrFQFNX0XPX7rhPNqz/K\n5tURDoexe/ceZDLlymdQTZ+uenq0yqhqPnlVEv2PznnKGsDunwlNM/B4AhAEd7WnUhe4vDNBKBbq\noLw8RU4iFfsYLu/06k2sxvD5XKCo0osuSmGw2ItEpKr70A2HbusViVTPSiWbDmFv9+8N3S8Arc2Z\nVZ55gCb0IxHzvr2NsFpmV8oi9MLhMHbt6kEg0AKOK19HB1lWTBOEdfuRRhF7NE1VtQqsFqEoAkKI\n7T4XVVWRyaQRCu0FAEfsjQCKYuHyzjQs1ybDWx2hB+364fO5+kVYouzHqxexxzAURJFDX1/5P5NC\nKLLUb6Ni9H4UfHMQnPw5y44lihwyGdnUI5HnNe9AJ5pXn5Rl6Xb37j0IBFrA866yfjEoynz6iqI2\n1BdSURSnEGEIiqJFfLWLU7VnYx2EEHAcj0CgFbFYqNrTqRvMqm8T4a22jfqOFJ5nEAgISCbTiMUq\nF7Wq9WVcQkh/Xp5UtYCBqsr9Nip7DdtYYQKap/8nCLHmuq8ZIHNFc/Mc6peyqINMJgOOK/8XgxAU\nFHSqqjaMsbCqaudr956/paKqKmRZAUVRtvsusCwHWa5ezlC9IfhnA8j/DsjpUAEvssbA4+EhihxC\noSQkqfLfpVoWez6fqz8vrzrRRlVV0fvJc5Ci3YZtNOtF68yvgaKty0UWRQ6SlDEVtXqv+UYKntiN\nsoWBKvWlKHQDb7yonvYHajdBYwX68q2dop6N9N22ApoRwXsOMIw3YvUtTVMIBjXvyZF2uigXtSj2\n3G5NQFWzxVl0z78Q37/OME4oDq0zzwLD+Sw7FsNQ4DgGiUThaJ5zvalv6v7OR0gxsddYS5qyrIlb\n52/SSP5SrvMBNSJmvW+TocYSeoLA9i/VZhCNSqMyQbaaWhJ7PM+A59mqtjhL9G1BaOffTLboNioT\nLD2ex+NCPJ4y/S643ZxzP7EBtlBBhYSe9sVtrMievlTpYGRgKZc4y9wNiGgi9NLJXcimw1WYTWWh\nKAK/XwDPs+jrS5ia4VaTWhB7DEPB4+H7u4BURwGn4p9i/0dPm24LTjm5PwXBOlwuFqqqmlrp0LSW\nt9dI90+7YhtFUOjGLcuNk6un02iRzFLRq7XtVqjhUByGD4J1jTeMJ8PbqjCbysFxDIJBEZmMXFbr\nlLFSTbGnF1/EYqmqLWVnUyHs7X7U1EbF23o4vK2HWno8Qgjcbq5gEY7H43i02oWy+ehVGm3JUjUN\nP+uFGaO9wL366st46qnHsXXru0gk4ggEgujsXIAzzvgqOjoWAABWrrwHq1bdl3tPc3ML2tvn49JL\nr8TkyVNMXzOYq6++DieddOqo5jeUwcUZsmw8ZyvP58knH8Ozz75oybx1rr/+GnR3b8fKlQ8BAF58\n8QWkUhJOPfULRV83Uor9HgCgre2gkvfpUB8IgTnI9OzOG0uG37X8JloLEELg9fKgaRrhcNLUNqPW\nqJb1is/ngiRlLDeJHilKVsLe7gI2Kv45CEw+0fJjut0cJClrKmw5jnHMkW2EbYQeoNmtmH1p9dws\noHShd/vtt+CJJx7FySefhtNP/zL8fj96enbhxRefx6WXLsOjjz6dEz4ejwc333wHAGDnzh24//67\ncOWVl+Chhx6DIAiG1wxmypSxN6IejKJo4naowLX6fMrBeectQyo1kCPz0ksvIBQKGYTeWBh8blpF\nmfaZ/e5396O3t9ey4zjUFqJ/LiI9r+WNSdGPoGQlUIx9Ihg8z8Dj4SFJmarmm42GSos9j4eHqsKy\ndm+loqoy9n7weAEblYlonmadjYqOXoDR12cUlgDg9Tp2KnbCVkJPL8wwi9zpy5mlhOVfe+1lPPbY\navz0p78wiIyTTz4Na9a8Cp4f+IOgaRrt7fMBAO3t8zF+/ARcdtky/Otf/8Bxx51geM1oWbfuLVxx\nxcVYs+atoq8b7COnqmpZzqcc6EKznJj9HrRqxKAj9GwMK0wAzfogZyKDRhUkI+/B3TS2v8tagKII\nvF7Nv7ReonhmVErsCQIHlqURClXHFFmzUfkzUrEPDNto1ofWWdbaqOgMX4Dh2KnYCdslcllZmPHY\nY6tx0EEHF4wkLV16NFpaWgu+f+5czaS1p2fniI9pNXrxASHVOZ+1a9/E0qWLsW/fwNPqRRedj6OP\nPgzRaDQ3du65X8U999wJQFuSveCCc3L/fvnlv2PDhnVYunQxli5djJUr78k7xptvvo5vfONrOOGE\npbjkkgvQ3b19xPMbjP4QUMyf0aG+IYSYV9/awGZFELi8XLx6FXk65c7Z43kGgsD2F19YvvsREdn9\nD8T3rzeME4pD66yzwLBey4/pFGA0HrYTeoA1hRnZbBabN2/CoYd+ZtTz2LVrFwCgqanZsO+hP+VE\nlhUoilK28ylGe/t8MAyDri7tYiZJErZufQcMw2LTpi4AQCQSxgcfdKOzc6Hh/eedtwyLFi3GnDlt\nuPvuVbj77lX4whdOz23fvbsHd955O84995u45prr0dfXh5///CejrprT8hs1secUa9gTs+rbZOR9\nqEp9GlCzLI1gUATL0ujrS1RtCbIclEvsMQydq7CtVnFKom8Lwrv+brKFoGXGl8EJxsKhsUJRTgFG\nI1KRpVs5E8OeD56GFPkAqloFp3FCw+WdgeYDvgiK8hQsUhhMJBJGOp3GuHH5f2yaRcfAOdB0fsKq\nLtp27tyBW265EaLoxuLFh+e2h8NhHHOMUWw9/vgfMXHiJNO5DD2moih5x9JhmMK/zlCoryznMxw8\n70Jb20Ho6lqP44//HDZv3gS3243Fiw9DV9d6HHHEUmzcuAGEEMyf32F4/+TJU+Dz+aAoiumSdzQa\nwV13rcTUqZoZrqKo+OlPf4CPP/4I06ZNH/E8h6IZbqugKAqqqtZspaJD6fDeaSA0D1UeuNmpShpS\n9APL7SvKiXbT5sGyNGIxqWpdHMqN1cu4NE3g92v7qlaFbSr+CfZ99JTptuCUUyD4DizLcb1eF5LJ\njFOA0WBUROjt+eBpJMPvV+JQ5qgypMj72P/x/2HcrLP7IzXmFbq5t/RvHPqlX736/2HFitty///d\n7/4QZ5zxVQBGETd+/ARce+1ytLS05MY8Hg9uvXWF4XjFlkyfe+4ZLF9+rWF8qGAslrOnC5Whtitj\nPZ+R0Nm5AG+88ToAYMOGdejoWIgFCw7B88//uX9sPQ48cDbcbk9J+wWACRMm5kQeAEyfPgMAsGfP\n7jEJPUCL7A347lH49a+X46mnnhg2N9KhtiGEhuCbjUTf23njyfC2uhB6hGjLtILAIZlMIxqtr2KL\n0WCV2COEwO8XEY+nKlbRO5Rsqg97ux8FTIIe3nGfgbd1cVmOy/MMCCEFI75OAYZ9qYjQS8U+rcRh\nhiUV1+Yhy8MXZvj9AXAch71783thnnzyqVi06BAAwLJl5+ZtGxBxBM3NzWhpaTUIRZqmMXfuwSXN\n+8gjj8L99z+Y+/93330HN998Q97YcOjns2fP7rxzH+v5jITOzkX4/e8fRjQaxcaNG7BkyZHo7FyA\n22+/BalUCl1d69HRYVy2HQkeT34OC8uyAIB02rrlK0VR0dW1DpKUBKDdLKplqOpgDaJ/rkHoJcJb\nEVRPremIhsvFQhQ5ZDIy+vriDRVpHqvYIwTw+wVIUqYqvX0BQMkmsWf7aihZY/GH4G9DYFJ5itwI\nIbmlajNE0SnAsDMVEXq8Z0p1I3r6PNwD1ZzDeesxDIN58+bj3/9+HcuWXZwbb2pqLpijNhoRNxL8\n/gD8/kDu/xMJ7SJRyrH083njjdfxrW9dklu+rsT5zJ/fCVVVsX79WmzevAmXXHI5ZsyYBUEQsXbt\nm9i27V2cffY5Yz5OuUin07j77juwfPkteO65Z6E1HqGgKEpNtJByKB2XbxZA6LyoipKNIZ3YkXed\nqBU4jobbzUNRVEQi9VtNO1bGIvZ8PgHZrFw9GxVFs1HJpvYZtnHiJDRP+5LlNio6Xq9mtWP2vaFp\nKif0HOxJRYoxxs04HYL/QBBSpT6GhIbLdyCaD/hibkjLwSreF/YrXzkLW7a8jb/85dkKTLL86Ofz\n5z8/A1UtXKFsNT6fDzNnzsJjjz0CiqIxe3YbCCHo6OjEI488CFmWc0bNZjAMa2mErlRWrboPp532\nRQSDQQBaUY+iaK3mnIKN+oSiebi8MwzjtVZ9y7I0AgERbjePeDxV15YpVjGaAg2fT4CiqAWLEMqN\nZqPyLFKxDw3baNaP1pnlsVEBtNw7mqYRj5tfQ30+pwDD7lQkokezHkyc81+VOJQpekN747hS0GQZ\nAI466hh85StnYfnya7Fu3Vs48sijEQgEEA6H8eabbwAABEEsaS6yLOPttzcZxsePH4/W1nEl7atU\nhp7PUUcdDb8/iFAoNOrzGSmdnQvx5JOP47DDloCmtYtzR8dCrFhxG6ZMOQDNzYXz/qZNm441a17B\nq6++jHHjxqGlpbVoTqOVvP/+e9iyZTMuvPDSvHE9f0/zbtTMuBWleN6nQ20h+NsgRfJXGhLhrQhM\nOr5KMxqAZemcn1kika5ax4ZapZTInterCZlq5jJGdq9BvHeDYZxQPFpnnQWaLT0/eSQQohlCFzLN\nFkWu/2HVeVq1M7YyTC5EoSVavVVYsSXcK674Pjo7F+Gppx7HjTf+MtcyrL19Pm666TYsWXJkSXOJ\nxWK4+OLzDePLll2M885bVtK+RsPg81m+XDufYDCIefNGdz4jRRd6CxYszBsDgI6OzqLv/dKXzsS2\nbVtxww3XIRqN4Pzzv4ULLrioLPMcyqZNXfjww26ceeZ/5Ma+/OUv4L77HkQwGHQEXx0j+ueg75P8\naH1W2oeMtA+sq7SCI6tgWRqiyIGiKCQSKUfgFWEkYs/j4UFRpGBuWiWI921GeNdLJlt0G5XyPeB7\nPC6k01lks8bPxlmybRyIWoas8s2bt2DSpGlW73ZM6DdkM2i6sfOtaNqxEBkpS5cuLlp1OyD4UPbv\nVE/PR5gwobb+zuqNnq0rkU7syBsLTDoevvHleeAphGbey4EQOBG8EmFZ2lTsud0cWJZBOJyo2rU9\nFfsEu99/0LTCtmnqafC0HFK2Y/M8A1HkC7Y5CwZFJ5rXINjSMNkMvT2aGZqFRsN8FAa0iBSpWM6e\nndEfKPJz+JzPtVYx65KRqGCensvFoqnJDUFgkUik0NeXcEReiZjl7LndHDiOqWrXi0yqF3s/KGSj\nsqSsIo+itCrbaLRwla1zbWocGkrdFBMyqqoW7KjRCDhib2SM1ENPF3z6si5NU85nW4OIgbmGsXT8\nU8iZWNmOqRsdNze7wXEMIhEJoVDStobHlWCw2PN6XeA4BqFQsmo2SHI2ib2FbFQCB5XNRkVHN0Z2\nqmwdgAYTeoDRMFhHW7ZsbB8hR+yVB0VRc2kDuuBr4K9ZTcG6WsDwRnuhZHib9cdiafh8AoJBreCp\nry/Rb5XiCDwryGRkpNMyeJ5BPJ6qmshTFRn7PngM2dR+wzbNRuX0st5nBIEtaozsVNk2Hg0n9IZf\nwm3sO7Aj9sqHLvg0axtnWbdWKOfyLUURiCKHYNANj4dHOp3F/v1xxOMpJyfWYtxuDgxDIRJJwuu1\ntjfuSNFsVJ5BKvaRYRvN9duoUGzZjq9H6yIRZ8nWYYCGE3pA8SVcRVELRv0aBUfslRetv7BxWde5\n9lYH0UToSdFuKPLovRs5jumP3rlBUQTRaBJ9fQlIUmYsU3UogJ6Tpy+Bl+qzZxWR3a8h3ttlGCcU\nj9aZ5bNR0fH5XIjH06YPEc6SbePSsIqmkJhTVTVnudLIOGKvMgxE+dRcT11H9FUWzj0ZFOPOH1Rl\nSNHtJe2HZWl4PFrunSCwSKUy2L8/hlgs1fAmx+XE4+HBsvk5eaMxVR4r8d5NCO962WQLhdYZZ5bV\nRgXQxK4sKwUfJpwl28alYYVesSXckXTNaAQG/OEa/IOoAFrxhnFp1/nsyw8hFAT/HMN4IjT88i3D\nUHC7eTQ1ueF285BlFX19CYTDSad6tgJ4vS7QNNVvoZIfxaqk2JNiH2P/x3803dY09VS4fDPLenyO\no8HzLKJR884fbrezZNvINKzQA1A0cqLbYzQ6sqxdPB3BUTkGL+0CWvTZifSVF9Pl28g2qCbWGHrk\nrqnJDa/XBVVVEQ4nEQolkEyaL5s5WI/PJ4AQUtRCpRJiL5Pqxb5ucxsV37gj4GlZVJbj6lAUgdfr\nQjQqmRagsCzd79HoXDwalYbojFGMQi3Q9K4ZNE1yYqdRURR9WdH5LCqNJhq0z1xbStcePrQLOina\n1cVh5Li8M0EoFqoysOylyBJSsY8h+meCZWnwPAOWZSDLMlIpGeFwsqAJu0P5IGSgd+1I2pqV0i6t\nVORsAnu3PwJFNhY/CIGD4K9AOz2fT0AikTE9L4oi8PmEss/BobZp+JCVlgxfeAkXcKJZAHJtvRq9\nUKWaDI70qaoKQoBg0I1gUGt6z3GVrzK0C4Ri4PIdaBhXpO0IBt3geQapVBa9vXGEQkkkk2lH5FUB\nQgj8fhGyrJTUu7YckT1VyfbbqPQatnHi5LLbqACA281DUVQkk+aFQ16vC4TAieY1OM5dGyhadCDL\nTr6ejib2nKrkWkCPOO/fH8st2QgCh5YWDwIBXfgxzgV+BBBCwHEMguPmGbaF9mzGvn1RRCISUqls\n1bzZHLQH8mBQRDqdRSxmnotWDCvFnqqq2P/xn5CKfWycJxdA68yvltVGBdDz8piCglcUObAs7VwD\nHJylWx2KIv0Vt8ZtsqyAps2XeBsNrVAFzudRQ2SzCrLZgU1YwZ4AACAASURBVCd6lqX783JYeL0u\nKIqKTEZGNqv/NPbvjWEoMAwNhtE+J4oiyGZlEHUOtGffgc8nmw4jk9wNTpxQtfk6DPSzjcdTkKTR\nF7lYtYwb6XkVib5NhnFC8xhXARsVPS8vHC6cl+dYqTjoOEJvEIXy9YABfz1H3GhPs/rnoShK1XpJ\nOpiTych5NzCapsCyNBiGgsvFgmG077EmEOXcv+2W60dRBAyjFbJowk77t37e2aw8ZAmWAe85AKnY\nh3n7SYTfdYReFeF5Bh4Pb1l+3VjFXrx3I8I9r5hs0WxUWKF1zHMcDi0vL23aVYUQ4lipOOThCL1B\n6Pl6QwsOXn31ZTz11OPYuvVdJBJxBAJBdHYuwBlnfBUdHQsAACtX3oNVq+7Lvae5uQXt7fNx6aVX\nYvLkKaavGczVV1+Hk046tUxnlo8V56OqwL333oUnn3wcf/7zi5YuaV1//TXo7t6OlSsfAgC8+OIL\nSKUknHrqF4q+bqQU+z0AQFvbQSXvs5YZXMGro0W1KNA0DY5jclW9uuiTZSXn8acoSs0W4dA0ybOi\n0UQd1f8QoubOJ5PJIplUho1miv42g9BLhrchMPGY8p2EQ0EEgYMgsAiFrC18Ga3Yk2IfYf/HfzLd\n1nTAaXB5y2ujAmi+gVpeXmG/PC3dyInmOWg4Qm8Iej6eLlxuv/0WPPHEozj55NNw+ulfRjAYwK5d\nO/G3vz2PSy9dhkcffTon5DweD26++Q4AwM6dO3D//XfhyisvwUMPPQZBEAyvGcyUKVMrcn5Dz8fv\n96OnZxdefHF05wOo/cvesCwidN55y5BKDeSdvPTSCwiFQgahNxYK/R4eeOB+9PYak6vthhbVUgDk\nL4PpIkmPgvH8gAhUFDWXp6n/W1GUXKGObjY+9N8jQU8Y1//+Bv+bojQxp/2X5HJq9TlpQlabSzo9\nMkFXCCHQhr4df80byyR7kE2FwPCBUe3TYXRoRsg0QqFEWaLNpYq9jLQf+7ofM7dRGX8kPM0LLZ/j\nUFwuNveZmCEIrJOX52DAEXom0DRBNqvitddexmOPrcZPf/qLPJGxcOEhOOmk07BmzavgeX7Q+2i0\nt88HALS3z8f48RNw2WXL8K9//QPHHXeC4TWjZd26t3DFFRdjzZq3SnpfofMBgJNPHt35AAM9gq2y\nX9GFZjkp9HsIBIINIfQKMSAAjejiakBsUaAoCgwzVJwN/n/tvYQQQ9R38NiAOBwsEtXcA4SiqMhm\n5SEi0/qbP8MFwAoTkEn25I0nw1vhHXe45cdzMKIvPaoqEAolypoaMlKxJ2cT2Nu92tRGRQwcDP/E\n48o3yX40c26u4Geim3c7Is9hKI7QKwBNU3jssdU46KCDDaJIUbTijKVLjy66j7lz5wIAenp2lm2e\npVDofHTGcj4DXnv5eYxr176JK6+8BE8//RxaWrTclYsuOh/vvLMZzz77IrxeLwDg3HO/iiOPPBoX\nXXRZ3pLs9ddfg5df/nv//BYDAM4//1u44IKLcsd4883X8dvf3oodOz7F7Nlt+OEPf4qZM2eN9GNx\nGCHlEle1huhvQ3iI0Es4Qq8iMAwFn0+AJGWQSIy+13ApDCf2VCWLfd2PmtuouKegadoXyy6udD+8\naFQyfZjWvQUdHMxwfDIKIMtZbN68CYce+hnDtgEz5eIf365duwAATU3NeePZbNbwU26y2cLnM1IK\nnY+OvpSntdrRxtrb54NhGHR1rQcASJKErVvfAcOw2LRJa/4diYTxwQfd6Ow0Ln2cd94yLFq0GHPm\ntOHuu1fh7rtX4QtfOD23fffuHtx55+0499xv4pprrkdfXx9+/vOfODYYDqNGMOmSkYp9BDlrjOY4\nWAfPM/D7BcRiqYqJPJ1C1iuajcofkYp/YngPzQXQOqP8NioAcuI3nTaPOPp8Qi7S7uAwlIpE9Pbv\n34+rrvox3njjdaTTlf0DBgCO43D44Z/Br371P2huNhcpQwmHw0in05gwIb/aTjOt1f7YtAgWnRdG\n10Xbzp07cMstN0IU3Vi8+PC8/R5zjFFsPf74HzFx4iTTuQw+JqBFFAcfS4dhCv86IxHtfMaNG190\n3zSdn98x3PkY5zpgR6OqKnjehba2g9DVtR7HH/85bN68CW63G4sXH4aurvU44oil2LhxAwghmD+/\nw7C/yZOnwOfzQVEU06XWaDSCu+5aialTD+j/bFT89Kc/wMcff4Rp06YXnKeDQyFYYTxozg85HR40\nqkKKvAd3k/E76jB23G4OPG990UUpmEX2wj2vINH3tuG1hHZh3KyzQLPuss/L63VBlpWC4tft5p28\nPIeiVEToXXXVj/Haa69W4lCmpNNpvPbaq7jqqh/jrrvuH+G7BrpiaMUZ2ujq1f8PK1bclnvV9773\nI5xxxlcBGEXc+PETcO21y9HS0pIb83g8uPXWFYaj6cuaZjz33DNYvvxaw/hQwVgsZ0+PcA29GAw9\nn+9+94clnU8hNLGn5e11di7AG2+8DgDYsGEdOjoWYsGCQ/D883/uH1uPAw+cDbe7dO+pCRMm5kQe\nAEyfPgMAsGfPbsuF3s0334inn34Ca9a8hd27e7B8+bXYt28vCKFwxBFH4pJLrnAutjaAEALB34bY\n3n/njSfCWx2hZzGDrUD6+hJVj8QPFns7ul9HpMfsvtVvo+Iqv42KIGh2SH195sUXPM9AEFjnuuNQ\nlIoIva6uDZU4zLCUMg+/PwCO47Bnz56c9xYAnHzyqVi06BAAwLJl50JV1ZwYHBBxBM3NzWhpaTX8\nAdI0jblzDy5p3kceeRTuv//B3P+/++47uPnmG/LGRno+e/fuyRsfej6DGcn5FEOWtc9m4cJD8Pvf\nP4xoNIqNGzdgyZIj0dm5ALfffgtSqRS6utajo2N0FWsejzfv/1lWW0axOnLc1bUekjSwdEfTDC65\n5HLMnXswMpkMvvvdy/DKK3/HMceUv7elQ/kRTYSeFHkfqpIFoZzUZivQ8/FSqSzi8dI7XZQLKRHG\nnu6nEN1nfr9oOuDzcHlnlH0euulxIZHHMFR/izNH5DkUpyJXrM7OBVWN6A2ex0hhGAbt7R14441/\n4cILL8kVGTQ1NRty1BRFASFkVCJuJPj9Afj9A9YOiYT2h1/KsRiGwbx58/Hvf7+OZcsuzo2bnY+O\nFeejKCra2zugqio2bFiLzZs34ZJLLseMGbMgCCLWrn0T27a9i7PPPmdMxykn6XQad999B5YvvwV/\n+cuzAICWlpZcZJNlWcyadSD27NldzWk6WAjvmQaKdkGRB2x+VCUDKdoNwT+nijOzB4LAQhQ5RKNS\nwbyzSqMqMqJ730C451WoivmDom/8UniaR34fGS00TcHn0zpfmBVAUZTW89fBYSRUpBjjV7/6Hxx1\n1NHgOK4ShzPAcRyOOupo/OpX/1PS+772tbOxefPbeO65Z3Jtv8zQizOA2n6y+spXzsKWLW/nxEql\n8Hp9mDlzFh599BFQFI3Zs9tACEFHRyceeeRByLKcM2o2g2HYquR26qxadR9OO+2LCAaDptvD4RBe\ne+0VHHbYkgrPzKFcEELB5TMKukR4axVmYx/06lCeZ9HXl6gZkZcMb8Oud+9CaOffCoo81jUO/onH\nln0umojTilLMOl8AgN8v5CyMHByGoyIRvebm5hJy42qHo48+Bl/72tn45S+vwdq1b2Hp0qPh8wUQ\nCoXw5ptvAAAEQXuq0lJLhm+TJssy3n7b2CNx/PjxaG0dV47TyHHUUcfgK185C8uXX4t1697CkUce\njUAggHA4bDgfq+nsXIgnn3wchx++BBzHQpYVdHQsxIoVt2HKlAPQ3Fw472/atOlYs+YVvPrqyxg3\nbhxaWlqL5jRayfvvv4ctWzbjwgsvNd2eTqdx1VU/xplnnpXLD3SwB2KgDYm+jXljyfA2qKoCQhzD\nglIZvFQbidTGUm1G2oe+Hc9Dirw/zCsJWqafWnZhRYgm4pLJDFIpczcGr9fV72zgiDyHkeEkmwzD\nd77zAyxYsAh/+MPjWL78OsTjCQQCAbS3z8dNN92GJUuOzHu9ZrtS2Dg4Fovh4ovPN4wvW3Yxzjtv\nWVnOYTBXXPF9dHYuwlNPPY4bb/xlrgVaofOxCl3odXYuzFmwLFyo5eV1dHQWfe+XvnQmtm3bihtu\nuA7RaMTgo1dONm3qwocfduPMM/8jN/blL38B9933IHw+H6677irMmdOGs876r4rMx6FyuLyzAELn\ndUJQsnGk4zvAeyrTycYuiKLWyiwaTSGdLr+d1HAosoRwz6uI7vk3gMIP5oTiwHumoWnyUoyfPNey\nfruF8PkEZDJaD2YzRJEDzzOOyHMoCaKWocxp8+YtmDRpmtW7rSlkWSno2E7T1rYEsys0TQCQqtkp\njIalSxfnqptvvPGXUBQFP/nJz6ty4e3p+QgTJtj776za7Nm+GlLkvbwx77glCE4+sUozqi90o19V\nVRGNmuebVRJVVRHv3YDQzr9DycaLvJLA03II/BOPAc1oqxwsS5fcG7cUPB4eFEUhEjH3a+Q4JtfH\n1sGhFJyI3igZXIk7FFlWc6bB1bYLqGVkWc3lPipKYeFci2zcuAHPPPN/mDlzFs4//+sAgNNO+w+c\neebXqjwzBysR/W0GoZcMb0Vg0gnODXcYXC4GbjePRCKNZDJT7ekgFf8EfZ/+FelE8U5FvGcaglNO\nBifke46W2hu3FASBA8PQCIfNK2z14gwHh9HgCL0xUCwfTzcN1hu+O5ijGTarOYPlaj/xD4cezevo\nWFByr2GH+kPwzwGGNEXIpnqRTe2riI9aPUIIgdfLg6apqhog62QzUYR2/A2JPmNu9GBo1o/g5BMh\nBA4qKOLLIfZ0L7xCPWz14gzAKb5wGB2O0BsDejRqeLFXX9GqaiDLSq5XrvN5OdQKNOsB556CdPzT\nvPFEaCv8ExyhNxSOY+Dx8P0FF+bRqUqhKllE9ryOyO7XoCqFI4qEMPCNPxLe8UeMqJ2ZlWJP/7xC\noaTpQ65enOG0N3MYC47QGyOO2LMORVFBiAqKqo/onkNjIPrnGoReMrwV/glLqzSj2mMgikcjGi1v\nwcJwqKqKZHgbQjueRzbdV/S1YuBgBCafCIbzl3QMK8Qey9LwenmEw4Wjnn6/6FTYOowZR+hZACFa\neL2QMFEUBRRV3HbFQUPvletE9xxqBcHfhtDOv+WNpRM7IGeioFlvgXc1DjyvRaUkKYNIRBr+DWUk\nk9yLvh1/hRTtLvo6VhiP4OST4PJOH/2xxiD2NKsZ7X2Fcr19PhcYxhF5DmPHEXoWQVHaH6OZ2NMq\ncJVhPfYcBtA+R7XfpFotaFfj4FBuWFczGFcLstK+vPFEeBu8LYdUaVbVh6JIrgVXOJwsKFgqgZKV\nEO55BdG9/4bep9wMihbgn3QsPM2LLPFCHI3Yo2kKfr9QNPLp8fDgOMdGxcEaHKFnIY7Ysx5Z1tvL\n6YUtjuBzqDyivw2RIUIvGd7asEJPb2GWSGQKer5VAlVVEN+/HqFdL0HJFssJJPC0HorAhM+CYgRL\n51CK2Bvc9aJQVxBR5OBysY7Ic7AMR+hZDEWRQS3R8tG99RyxVxoDlbkEgLOc61B5BH8bIrv/kTcm\nRT+AIqdA0XyVZlV5WJaGx8NDUVSEQomqRtql2Efo+/SvyCR7ir6O98xAcMpJ4ITydR4aidijKIJA\nQEQikS7Y9cLl0gS0I/IcrMQRemVA74xhJkZUVRt3xF7paL57TrGGQ+XhxMmgGQ/kbGxgUJWRjLwP\nd3Be9SZWISiKwO3mwbJ0fzSqet0tsumwZpcS2lz0dTQXQHDy5yD42yoinIqJPUK0SJ4kZSBJ5hXA\negWuI/IcrMYRemVCF3JmYk9RVFCUI/ZGg7FYw1nOdSg/hBAI/jbE9q/NG0+Gt9pe6OnLtJKUQW9v\n9YotFCWD6J5/IdKzBqpaWGgSioVv/FL4xi0BoSp7izMTe4QQBAJaj99EwnyZW++64Yg8h3LgCL0y\nUqx7hiP2xsZAsYaznOtQGQT/HKPQi7wHVZVBCF2lWZWPWlmm1exS3kXfjuchp8NFXysG2xGYdAIY\nzleh2RkZLPaiUQluN19U5OnFGQ4O5cIRemWmmJBzxN7YGbyc61TnOpQTl3cGCMVBVQZu2KqcQir6\nEVy+mVWcmbXQNJXruxqPV3eZNp3cjb5P/4pU7MOir2OFiWiachJ4zwGVmdgwZDIyolEJPl/xSB5N\nUwgEtF66TjTPoVw4Qq/MDGeo7Ii9saMv5+rVuU7+nkM5IBQDwXcgEqEteeOJ8FZbCD2KIhBFHjxP\nIx5PF8wlqwRyNonwrpcR2/cWitqlMCICE4+Du3mBJXYpVkEIyUXyOI4Gy9KGAg1N5AkgxBF5DuXF\nEXoVwBF7lUGvztXz9xzB52A1gr/NIPSS4a1Qp5xctzdrQgBB4CAIHCQpjd5eqWppEKqqILZvLcK7\nXoYiJ4u8koK39VD4J3wWFOOq2PxGwtCcPD3/bnCBBk2TfpHntDZzKD+O0BsBr7zyEv7wh8fx7rvv\nIJGIIxgMorNzIc4882vo7FwAALjvvruxcuW9ufe0tLSgvb0D3/72lZgyZSoIAVatujfvNYO5+urr\ncMopp1VE7L366st46qnHsXXru0gk4ggEgujsXIAzzvgqOjq081m58h6sWnVf7j3NzS1ob5+PSy+9\nEpMnT8m95sknH8Ozz75o6fyuv/4adHdvx8qVDwEAXnzxBaRSEk499QtFX6ej5+8VKtgYem5DaWs7\nyLBPBwcAEHyzAVAABv5G5UwEmeQucOKkqs1rtAgCB1FkkU7L6OuLV/XBSIp+iL5P/4KMtKfo61ze\nWQhO+RxYV+31GtZ98gYv1w4t0JBlBYGA6Ig8h4rhCL1huPXWm/HYY7/HKaechv/8zy/D7/ejp2cX\nXnjheVx00TfxxBP/hylTpgIAPB4Pbr31twCAHTt24N5778K3v30xVq9+AoIg5F5z8813GI4zZcrU\nikT2br/9FjzxxKM4+eTTcPrpA+fz4ovP49JLl+HRR5/OCbnBc925cwfuv/8uXHnlJXjoocdy51MO\nzjtvGVKpgeq+l156AaFQyCD0hmOw4KOofMFX6PfwwAP3o7e3d0zzd7AvFOOCyzsNUvSDvPFEeGtd\nCT29kjadlhEKFe61Wgmy6RD6dryAZOidoq9juCACUz4HwTenJgWS7pMnSRlDTt5gsQfAEXkOFcUR\nekV49dWX8fvfP4KrrroGn//8f+RtO+WUz+O1114Bzw8sG9A0g/b2DgBAe3sHxo+fgIsvvgD//Oca\nHH/8ibnXdHb+/+2dd3xUZb7/P6dMn/Qq0kFpIQksgoaArLIrCLrrahRQOlIEdVF0jbIgoBEX5AVG\nsMHlKi4goK57dZfVqxLILiIlBYJgwfK7QAIIqdPnnN8fJ+dMy7SQzKR8369XXpl55pzzPE+SOfPJ\nt2YFdOMGc/UeO3YEjzwyH8XFR8Laz4ED+7Br1w48/fRyH9E0btwEFBfvh0bjKv7KcRwyMgY37mcw\n0tLSsXDhHBw8+G/ccsvYsOYOB1lothTegk+K5XPtzZ34+AQSekRAdHH9fYSeufo04q/5dZRWFDo6\nnQo6nRoOR/QFniDYUVtVjLqqg0HKpagRlz4KMSkjIl4uJVTkzFmTyX9so/yzJpFHRJq2E73aBtm5\nczsGDhzkI/JkRo26GSkp/t0H/fsPAACcP3/OY1wWcv6QYsuEgMc0h127dmDAgIF+LWO5uaORnBxo\nP/0BAJWV5/we483Ro4eRmzsMly5dVMbmzZuJ0aOHo66uThmbNu0+vP76RgCSS3b27KnK4337Pkdp\n6THk5g5Dbu4wbNnyuscchw9/ienTJ2Hs2FwsWDAbZ8583+RaBEF0+2Cjmy3RPHRx1/uM2S0X4LBe\nicJqQkOnUyEx0QCVikdtrVlxIUYDURTRcKUC509uRG3lgYAiz5CYiS4DFyI2bWSbFXk8LyVVNDRY\n/Yo8jmOQkEDuWiI6ROSdU9tgwxt/r8DXP16BPQo3FxXHYkDPBMy9cxBiDeqQznE4HDhxohxTpkxt\n9ryywEtKSvK5NuDKFgUAnvf8Vbj3xm2JGnEOhwMVFccxadIDzb7G+fPnAQCJiUlBjnSRkTEYPM+j\nrKwEt976W1gsFpw+/TV4XoXjx8uQk5OL2toa/PDDGTz00KM+58+YMQdVVZWor6/DY489BQBITXW1\nMqqqqsTGjS9j2rRZ0Gg0eOWVDVi2LB/btr3r94YquW8lyyl12SDChVfHQa27BjbzeY9xU81pxKbe\nGKVV+cIwTKMFT4rBq601+63rGSlspkpcObsX1vqfAx6n1ndBQtdx0Bha1rrf0siJFnV1Fr+9a6XE\nCxJ5RPSIiNB74+8VKP/+l0hM1SR2p4Dy73/BG3+vwJLJQ0I6p6amBjabDWlpaR7jUman6w3NcZzH\nm1cWcefOncWaNauh1xtwww0j3K5bjdzc4T7z7d79d1xzjWeMjyz2GIaBw2FXxJ4gCB5zyXiLRXdq\na6X9pKY2fz8vvSTtZ9iwEQgVjUaLfv0GKEKvouI4DAYDhg0bjrKyEuTk5KK8vBQMw2Dw4Eyf86+9\ntitiY2MhCEKTrta6ulq8+uoWdOsm1c8SBBFPP70EP//8E3r06Blwbd5JG9RhgwgVXXw/H6FnbiNC\nTyqTooZGo4LVao96T1oAcDpMqDn3Bep/OYbA5VIMiO9yKwyJWW1eFKnVPGJiNH572wLuJVRI5BHR\nIyJC77uzgauZR4rw1iHdjLzfnNu3b0Nh4Xrl+eOPP4m8vEkAfEVceno6nntutYc71Gg0orDwNc+Z\nRPh1mYoi8PHHf0dBwQqf18aM8fxQCRSzJ4sY7/3s2PEONm3aoDxfvPgJ3H33fY37qfGYIy0tHStW\nFCA5OdnvPE2RlZWNQ4e+BACUlh5DZuYQZGf/Cp988o/GsRL07XsdDAZjWNcFgPT0axSRBwA9e/YC\nAFy4UBVU6Mm4Cz7phtz0cWvXrsbf/rYHxcVHUFVViYKCFbh06SIYhkVOzkgsWPCI8vO95547oNVq\nwfMqAMDy5c+hV6/2X2uNkNDF9UPN+X0eY9b6n+F0mMDx+qisiedZ6HRqqNU8LBZb1LNoAUAUnai/\neATVlUUQnQHapzEsYlJGIC59NFhO4/+4NoJGw8Ng0KCmxr+VVC6GTHXyiGgTEaHX99q4qFr03NcR\nKnFx8VCr1bhwwTPVf9y4CRg6dBgAYOZMTzeoLOIYBkhMTEZKSorPG5zjeAwYMLDJOf31xh05chQ2\nb35byRw9deok1q59AZs3vx32fi5e9N7P7Rg69FcAgDlzpvnsZ/36TQAYJCUlITnZdz+hkJU1FDt3\n/hV1dXUoLy/FTTeNRFZWNl5++SVYrVaUlZUgMzM0S6s3RmOMx3OVShJWNlvTlegDIWfliqIrhlJ2\nm5eVlcBicdX14jgeCxY8jP79B8Jut2Px4oUoKvocY8bcqhyzZs0GHyst0TFQaVPBqePhtFW7jYow\n13wDY1J2RNei0fDQ6dRgWQZmsw319dGrg+eOpfYMrpz9F+yWiwGP08Zeh4RrfwuVNvSQkGii16uh\n1apQU+M/mUWl4pS2ZsHumVOnTsVXX30FAMjPz8eMGTMAAD/99BO2bNmC0tJSfPvttxg2bBi2bYte\n2adQ1lNYWIhXXpEqT9x22214+eWXo7FUwouICL25dw5qMzF6ocLzUgbtoUMHMXfuAmU8KSnJJ+ZO\nJpCICwU509b7Jh0XF4+4uHjlGIvFBADo3z/0uXiex6BBg/HVV19izpz5ynhiYpLfmDuO48Kawx+D\nB2dBFEWUlBxFRcVxLFjwMHr16gOdTo+jRw/jm29OXVUsZGsgddqQ3GA2mx2vvfYKCgrWYu/ejwFI\ndRJly6ZKpUKfPn1x4UJVNJdMRBCGYaCP64e6i4c8xk3VX0MX1w8My4Nh+Faz5LAsA61Wir9zOASY\nTFa/MWKRxmG9gitnP4G55nTA43hNEhKu/S10cddFaGVXj9GoAc9zqK42+bWWqtW8RxmVUBgxYgQe\ne+wxXHvttcrYt99+i6KiImRlZcFuj16XknDWk5eXh1GjRmHFCl8PFBE9IiL0Yg3qkGPj2hKTJk3B\nk08+hn/+8yOMHz8xInNKYk/0Gy8mC5DmcO+9k5GfvwR7936MceMmXMUqwyM2Nha9e/fBrl3bwbIc\nrruuHxiGQWZmFrZvfxtOp1Mp1NwUPK9qloXuapGSZURs3vw67rjjd0hOlgQxw8BDjNfUVOPAgSKs\nW/eKx/n5+UsgiiJycnIxe/a8gDGURPtD14TQs9R+i7PH1yjPGYYHWB4sw4NhVZIAZFVgGM71nAk2\n7nqsUmug1Wqh4jWwmhjU1wCC6H5O64nLYAhOG2qrilF74SAg+hedDKtBXPpoxKQMB8NyEVxh82EY\nIDZWB1EEampMfi2mWq0KRqMm7N9BfHw8srM974G33HILxo6Vylg98sgjuHIlulndoawnPT0d6enp\nMBrDD8MhWg/65AnA6NFjMGnSFKxa9SyOHj2C3NzRiI+PR01NDb76Soo50+nCi8dxOqVsXm9SU9OV\nbFKOYyAI8PsfoxxYHW5h5VGjxuDeeyejoGAFjh07gpEjXfs5fPhQs/YTKllZQ/D++7sxfPhN4Djp\n5p6ZOQSbNm1A167dkZTkP+6vR4+eKC4uwv79+5Camork5JSAZWBaku+++xYnT1Zg7tyHlJ81y0pu\nXVEUYbFYsXTpn5CXN1mJDwSATZs2IzU1DSaTCatWLcOOHdswderMiKyZiAwaY3ewnC5gqy5RdABO\nByJqa2sUix7ikuFdYlJ5Huyxu9D0Fqq8hzg1XalA9bn/hdNeF3BphsRsxHe5BZwqckLgk0/2YuXK\npQCArVu347rrrsfhw19i8eJFAICdOz9A167dUFT0BZ555gkAwGuvbVWSv+RuF3a7E/X1Vr/z6PVq\n6PXqFhPa8n2mrdDW1kOEDgm9IPzxj0uQnT0U7723OpF/VAAAIABJREFUGwUFK9HQYEJCQjwyMjKx\nbl0hcnJGhnW9+vp6zJkzw2d87tyHMGvWHOU5y0o3i0DB1IIghi32HnnkcWRlDcUHH+zG6tWrlBZo\nGRmDsWbNBtx0U3j7CRVZ6GVnD/EYA4DMzKyA5951Vx6++eY0XnhhJerqajFz5oOYPXteq6zTm+PH\ny/Djj2eQl+eqpXjXXRPw5ptvIz4+DqtW/Rn9+vXHlCkPePyXL2c36/V6TJz4O3z44fsRWS8RORiG\nhS7uejRcLov2UjwRnRCdzsiKyyCoDV2lcilR6B7ifs+pqCjHddddjxMnjitjJ06Uo2vXbso/4Fqt\nVqmBKhdCNpvtMJv9exWMRg20WlVjTK//ezZZ9YlowIitUFOiouIkunTp0dKX7ZQIQuAab3ItuJao\ntUcEJzd3mJLdvHr1KgiCgKefXqZ03BBFESaTCU6nEwaDEQ6HA3/5y/NISkrGvHkLW3QtlZU/IT2d\n3mfRxGauQuWpN+He+5ZwwaliEN/lVugTBkc18zQv706cP38O48ZNwNKlK/DYYw/j8OEvIYoifv/7\ne7BkyVNYsGAWjh8vx69+dQM2bHhVqZFXX2+F1eq/qLMUjydi+vRpKCkpCbiO06d94xanTp2KhISE\ngIkLsqs0mskY7gRbTyh7IiIH/XvRxpFLfviz2sm19rx7uRKtS3l5KT766EP07t0HM2bcDwCYMOFO\n3HvvZFRXX0Z+/hMQBAFOp1T/b/r02VFeMdEaqHVpSOl9H2oq98Nu/QUAA0CAKDgCxql1eBgOsak3\nIjZtFFgutCL1rUlmZjbOnz+HEyeOQxRFnDx5AgMGDEJl5XmcOFEOu92O06dPAZA8DXIv4GefXYkj\nR44AENGtW3fk5y9TykAxDBAXpwfPs6itrcUzzzwTxR0Gp66uzqeKRFP06dMnAqshIgkJvXZAsN63\ncocNqehvYHcvcXXI1rzMzOwm6xaKooj09Guxdet2MAyjuOClsi0iWV07ILq465rMHBVFAaLohCjY\nIQoO6bvogCg4wLECeE4AxwlwOOywWy2w2awQnPIxjec0Hu/53PVYEOyA4IDQON4WxCWvSUZKn0lQ\naRKjvRSF7Oyh+Ne//oH/+7+fUVZWgvr6OgwenImkpCT85z/FKC09CpvNBrVajQcemAKtVoUrV0yY\nOXMeHn74cQBAYeE6bN++DQ8+uECJ2+M4yZIfGxuLAQMGRHmXgdm7dy+WLl0a9LimrI5E+4aEXjsh\nmNgDJLEnd3mIZrNyQkLqOiIpO5ZlPJI4SPR1fBiGBcOwAKsCw0hlN+Qvp1OAzeaA1WoHw4lQa4CW\nsHtJf1cOL2HZhEj0EY3hjns+dm2aQ1KPO9qUyAOkou0y7767HQAwaFAmEhISceBAEXbt2oHU1FRs\n3LgRCQkJuHJFKmElZ48KggCz2QydTq/E7cneFgD44IMPkJ+fH3Qd0RRReXl5yMvLi9r8RPQgodeO\nYBip+r2/wsqAZM1j2fAzconWRe6+AUBphyRZ+0QIAsjl3gHhOEYRdjzPwW53wmZzoKHB2mpWd+lv\nSwWwKgC6VpnDG1EUYW34f7DW/wxtTA9oDN0iMm84dO/eEwkJibhy5TL+/e/9AIDBgzORmCgJUovF\nhD179uDTT/8X11zTy+PcJUsewalTJ9GzZ2888cRTSEiQKhO4xxz++te/xp49eyK0G4IIDxJ67ZBg\ntfYEQQTDSBm5lKTR9nBZ80SlPRJZ+9o/DMNAreagUvFQq6USQjabA2azHTab/xIs7R2GYaA1dofW\n2D34wVEkKysb+/Z9DkEQkJqahpSUVMTExCIvLw+LFy9Gfn4+unbt6XPe2rUvw+l0oqKiBMnJsQB8\nCyEnJCQgISGhRddrNptRVFQEAKiqqkJ9fT327t0LALj55puh0+lw6NAhTJs2DW+//TZGjAi9B3lr\nrYdom5DQa6cEq7XnGbcXOHOXiB6iKFvzmrL2kfBryzCM1OpKFnYsy8Jud8Bmc8Jstipue6JtkJk5\nBPv2fQ5AsuYBQHJyHObPn48HHngAZ86cwZo1dzV5bny8Ab/+9c148cUXQ3LRtgS//PILHn30UY8x\n+flnn32Grl27wmKR+gf769YU6fUQbRMSeu2YYBm5AMXttTfcrX2AHNvHQMrmJOEXTTiOAc9zjeJO\nEnYOhxN2uxN1dRa/ze2JtsG9907GvfdOBiC9r2JjdRAEEVptHN5+e5fP8bW1tQAE9OjRBRzH4t13\n3w0pa7U5iKIIh8MBjuMUa2HXrl2DxvSVlZVh+PDh6Nu3b6usy51Q1iMIQtBagkTkoVLX7Rw5SSMQ\nci0+KUMsQgsjWgRBkBI6nE5Bic1kGEm4Sx9WWuj16kaLEv1yWwqWldywer0asbFaJCUZEBenh1rN\nw+EQUFdnwS+/1KOmxgyTyUYirx2hVnNISNDDarWjttbs958mp9OOxEQjTp8+halTp+LgwYOtVkLl\nk08+waBBg/DWW2+FdV5JSQlmzmw7HXc2btyIQYMG4fDhw9FeCuEGFUzuQARK0pAhV27HobLyJ/To\n0Qc8z4LnOfC8JPgdDgF2uxMOh6AIRMI/HMeC41jwPAuVyvPn6HA4lZ8nvWfaPwaDBhoNj9pac0Bx\nrtHwiInRAvCNx2tpzpw5g4aGBgBAly5dIuKGbS2qqqoUq2d8fDy6dWt7iTmdEXLddiCk5IvAIk6K\n22PAcQzFEHUArFYHrG7tN1mWUYSfVsuD47jG37VL9LkLwM7iYZEt37Kgkx/LiU1OpyTozGbJOkei\nrmPh7qq9csUU0LVoMGig06ki1smjd+/eEZknEqSlpSEtLS3ayyC8IKHXwZDi9hBQxDmdouL+o6zc\njoUgiLDZnLDZPAvnuosctZpXnkvnCHA6RaWTh/w42D8NbQk5lpFl2cZ/ZFjlsZzR7C52LRYHWTs7\nCWo1h5gYLUymwP1qGQaIjdVBpeIiJvIIIhKQ0OuASCIucJKG7L5lWXLldgZkUWPz+pyTeyVLwk8S\nRSqV9F0WT3K3FenvRHB77Jkc4v1Yxj25RB52fY4yHnGjUtaxK/vY/THLQslIltcnHyOLUlm0Snt1\nwukU6J+ZTozLVWuB3e6/awjPs4iN9SyCTBAdBRJ6HRRXcWX/9fbkEiyUldt5kf8GAv3uJTHIgGFY\nN8uZLLxYv+LM/Xw5a1gedv1JemYQ+xON8mNJuImNYlMWnS36IyE6ABzHIjZWC6dTCOqq1elUMBg0\nAFo/Ho8gogEJvRAoKvoC7723G6dOfQ2TqQEJCQnIyhqCvLxJSmudN998DVu2vKGck5ycjIyMTCxa\n9Ci6du3W5DHuLF++CuPHT2jxtXMc0/gB6brR7d+/Dx98sBunT5+CydSA+HjXfgYPzoIoitiy5XVs\n3fqmck5SUjIyMgbjoYcexbXXSvWStmx5He+/vwsff/xZi675+eefxZkz32PLlm0AgM8++xRWqwW3\n335HwONCxXtv3vTrNyDsa3ZkXH8/0e+jShDB0OlU0OvVaGiwwWKx+z1O6lGrJVct0eEhoReE9evX\nYteunRg/fgL+8Id7EBcXh8rK8/j0008wb94s7NnzoSLkjEYj1q9/BQBw9uxZvPHGq1i0aD527Nij\nVA13P8Yd+RqtgezKFQQBGza8hD173sW4cRPw+9+79vPZZ59g/vxZ2L37Q6XwpdFoxNq1hQCAc+fO\nYvPmV/HoowuwbduuVq2CPmPGHFitFuX5F198iurqah+hdzW4782dt97ajMuXL7fYPARBRAaWZRAT\nowXDMLhyxRQwHEWl4hAbq1Ws0ATRkSGhF4D9+/dh587tWLr0WUyceKfHa+PHT8SBA0XQaLTKGMfx\nyMiQKq5nZGQiLS0d8+fPxn/+U4xbb/2NzzHN5ejRI1i4cC6+/PJYyOcwDPDvf+/Hrl078PTTy31E\n07hxE1BcvB8qlRqiiEZ3LoeMjMGN+xmMtLR0LFw4BwcP/hu33DL2qvYQCNli2Jq4782d+PgEEnoE\n0c7QaHgYjRqYzXaYTP4TLgBAr1dDr1cDIFct0TmggskB2LlzOwYOHOQj8mRGjboZKSkpfs/v338A\nAOD8+XOtsr5wkfdzxx1N7yc3dzSSk1Pcsi0ZjyK8/fv3BwBUVoa+n6NHDyM3dxguXbqojM2bNxOj\nRw9HXV2dMjZt2n14/fWNACSX7OzZU5XH+/Z9jtLSY8jNHYbc3GHYsuV1jzkOH/4S06dPwtixuViw\nYDbOnPk+5PURBNF+YRggJkYLvV6jFK/2B8syiIvTQa9XkyWP6FRExKJXa63DWxXv4tTl7+AQHJGY\n0gOe5dE/sS+mD7oPsZqYkM5xOBw4caIcU6ZMbfa8ssDzLoDpcPj+DHi+dX8V7vtxd+UGDmSXXpTL\nsJw/fx4AkJgYekHPjIzB4HkeZWUluPXW38JiseD06a/B8yocP16GnJxc1NbW4IcfzuChhx71OX/G\njDmoqqpEfX0dHnvsKQBAamqq8npVVSU2bnwZ06bNgkajwSuvbMCyZfnYtu1dupETRAdGrZaseDab\nA1euNAQ8VnLV6nwShQiiMxARofdWxbs4celUJKZqEofgwIlLp/BWxbt4eOickM6pqamBzWbzKf4o\nilJxVRn33oSAS8SdO3cWa9ashl5vwA03jHC7bjVyc4f7zPf++x+hS5cuTa7Fe05BcHrMJRNILHrv\nRy4g63QKsNtd1/Hej81mB8MAlZXnsW6dtJ9hw0b4XN8fGo0W/foNUIReRcVxGAwGDBs2HGVlJcjJ\nyUV5eSkYhlEajbtz7bVdERsbC0EQmnS11tXV4tVXt6Bbt+6NPxsRTz+9BD///BN69OgZ8joJgmgf\nMAyDmBgNOI5DXV3gsikAYDCoodORq5bovERE6J2p/ikS0wQlvHVI1izvG8P27dtQWLheef74408i\nL28SAF8Rl56ejueeW43kZJd712g0orDwNZ/ZArmAP/74f/Dcc8/6jHsLxsAxe03vZ+fOdzz2s3jx\nE7j77vsASOJwzJgbldfS0qT9pKQkh1XSIisrG4cOfQkAKC09hszMIcjO/hU++eQfjWMl6Nv3OhgM\nxtAv2kh6+jWKyAOAnj17AQAuXKhqcaG3du1q/O1ve1BcfARVVZUoKFiBS5cugmFY5OSMxIIFjyg/\n33vuuQNarRY8rwIALF/+HHr16t14nRdQXLwfly5dRHHxkRZdI0F0ZORYPIvFjtpaS8Bj5RIrUo9v\nEnhE5yUiQq93fI+oWvTc1xEqcXHxUKvVSt8+mXHjJmDo0GEAgJkzH/B4TRZxDAMkJiYjJSXF5wbD\ncTwGDBgY1rpHjRqNrVvfUZ6fOnUSL75Y4DHWWvtZv34TAAZJSUlITk5pLFjLQhaOoZCVNRQ7d/4V\ndXV1KC8vxU03jURWVjZefvklWK1WlJWVIDNzSMjX81yjpytepZKElc27MvBVUlZWAovFrDznOB4L\nFjyM/v0Hwm63Y/HihSgq+hxjxtyqHLNmzQZcc42vlXbs2Nswa9Zc3HnnbS26RoLoqLhn1NbUBO5T\nC1DCBUG4ExGhN33QfW0mRi/kc3gpO/bQoYOYO3eBMp6UlOS36XRzRFwoxMXFIy4uXnluMpkAIKy5\nQt2P+02R4zj07+87h1xk2T1RIxBybb6SkqOoqDiOBQseRq9efaDT6XH06GF8882pq4qFbG1sNhte\ne60QBQUvYe/ejwFIdRKTk5MBSOKyT5++uHChKqTrZWcPbbW1EkRHQ6tVwWBQh5RRS1Y8gvAlIkIv\nVhMTcmxcW2LSpCl48snH8M9/foTx4ydGezlXTSj7kTtqBLtJuvdBDdZVIzY2Fr1798GuXdvBshyu\nu64fGIZBZmYWtm9/G06nE5mZ2X7P53lVi1vowmHr1jcxYcLvkJCQ0OTrNTXVOHCgCOvWedZHzM9f\nAlEUkZOTi9mz57V6wg1BdCR4noXRqIUoiqiuNgft3ENWPIJoGvrkCcDo0WMwadIUrFr1LI4ePYLc\n3NGIj49HTU0NvvpKijnT6fRhXdPplLJfvUlNTffIJm0NwtmPe9uqYAiCAI4L3DM3K2sI3n9/N4YP\nvwkcxwEAMjOHYNOmDejatTuSkpL9Xr9Hj54oLi7C/v37kJqaiuTkFI+4x9bku+++xcmTFZg796Em\nX7fZbFi69E/Iy5usxAcCwKZNm5GamgaTyYRVq5Zhx45tmDp1ZkTWTBDtGYZhYDCooVbzaGiwwmoN\n7AUiKx5BBIaEXhD++MclyM4eivfe242CgpVoaDAhISEeGRmZWLeuEDk5I8O6Xn19PebMmeEzPnfu\nQ5g1q/WtnuHuh+dZD+tdU3j3zJWb3rsjC73s7CEeYwCQmZkVcM133ZWHb745jRdeWIm6ulrMnPkg\nZs+eF+7Wm8Xx42X48cczyMtz1R6855478OabbyM2NhYrVy7F9df3w+TJnvGNqalSdrNer8fEib/D\nhx++H5H1EkR7RnbTWixSyZRgSV9kxSOI4DBioG7PzaSi4iS6dAk98YFo+8hiLhQ4jgHAhHx8eyI3\nd5iSKbt69SoIgoD8/GUeHzJmsxmC4ITBYITD4cBf/vI8kpKSMW/eQr/Xag6VlT8hPZ3eZ0T7x91N\nW19vDXrvICseQYQOWfSIkJBj94JZ9wDA6RTBMGJQd257pry8FB999CF69+6DmTPvBwBMmHAn8vIm\n4fLlX/DMM09CFAU4nVL9v+nTZyvnrl69CocOHQQA3HXX7Rgx4iY89dSfo7IPgogmLMtArw/dTQtQ\nXTyCCBey6BFhI4oIoauGBMtKrYY6quCLJmTRI9ozer0k2CwWO0wma9D7iVrNIyZGQ+3LCCJMyKJH\nhI3cVUPq2BH47iyJOzFg/B5BEJ0HrVYFvV4Nu92JK1cagv4DyHEMjEYtVCopiYtEHkGEBwk9otkw\nDAOeZ0Jy58qCT4rfY0O2CBIE0TFQqTgYjRoIgoja2uBFjwFy0xJES0BCj7hqZPdsKOJNjt+Tu2sE\nswgSBNG+4TgWRqMGLMuiocEKmy14HB65aQmi5SChR7QI4bhz5QxehmE6dMIGQXRmOI5tTLTg0NBg\ng8ViD+EcctMSREtDQo9oUcJx58qikAQfQXQcOI6BXq+BWs3BZLKjrs4S0nnkpiWI1oGEHtEquNy5\nwZMvZMEnJ2yQ4COI9gfLMjAYJIFnNttx+bIlpDhcqUiyBgxDAo8gWgMSekSrIblzGYhiaPF73hm6\nJPgIou0j18LTaFQwm20hCzyNhofBoFH+KSQIonUgoUe0Oq74vdDq75HgI4i2D8cx0OkkgWex2HD5\ncn1IAk/OvuU4FgBZ8QiitSGhR0SMcBI2ABJ8BNEW4XkpyUKlkl20DSHVxuR5FgaDhhItCCLCkNAj\nIk44CRuAS/DJSRuA2Bj71+pLJQiiEZWKg16vBsexMJttqK0NLclCTs7QalUQRZEEHkFEGBJ6RNRg\nWQYsG7rgc2XporEOX+it2AiCaB4aDQ+dTg2GAUwmW0j9aAFX7J5Wq1LGSOQRROQhoRcCRUVf4L33\nduPUqa9hMjUgISEBWVlDkJc3CVlZ2QCAN998DVu2vKGck5ycjIyMTCxa9Ci6du3W5DHuLF++CuPH\nT2j9zaBl97Nnzy7861+fX9V6vAXf888/izNnvseWLdsAAJ999imsVgtuv/0OAK46fM8//yx++OF7\nbN3617Baq23Z8jq2bn3T7+v9+g1Q5iaIzgjDAFqtGjqdCoIgwGSywmZzhnQuy0qxezqdqvFaJO4I\nIpqQ0AvC+vVrsWvXTowfPwF/+MM9iIuLQ2XleXz66SeYN28W9uz5UBE+RqMR69e/AgA4e/Ys3njj\nVSxaNB87duyBTqfzOcYd+RrtbT8tiSz4Zs6cA4vF5Rb64otPUV1drQg9d2TRJ50behyf0WjE2rWF\nPuNvvbUZly9fvrqNEEQ7hedZaLUqaDQq2GyOkFuVAa7kDNmCRwKPINoGJPQCsH//PuzcuR1Llz6L\niRPv9Hht/PiJOHCgCBqNVhnjOB4ZGZkAgIyMTKSlpWP+/Nn4z3+Kceutv/E5prkcPXoECxfOxZdf\nHov6flqD7t27A0DILl35WPfEjWBxfBzHISNjsM94fHwCCT2i0yG5Z1VgWTasBAtAEodS9q30cUIC\njyDaFmy0F9CW2blzOwYOHOQjimRGjboZKSkpfs/v338AAOD8+XOtsr5wicZ+jhz5CjfeOBQXL15U\nxubMmY6cnGGoq6tTxu6//168+qpkPVy5cjlmzLgfLMugoGAF9u37HKWlx5CbOwy5ucOwZcvrHnMc\nPvwlpk+fhLFjczFv3ix8++23EASX6GNZ+uAhCG/kGLrERAO0WhVMJkngmc22kESeSsUhLk6HhAQD\nNBqe+tISRBslIhY9R20tzm1+Aw0nv4boCN7vsKVheBUMAwegy5y54GNjQzrH4XDgxIlyTJkytdnz\nyoIoKSnJ59re8Hzr/ipacz+ByMjIBM/zKC09ht/85jZYLGacOvU1VCoVystLMXLkKNTU1ODMme+x\naNGjPufPmjUHVVXnUVdXjyeeeAqCICIlJVV5vaqqEhs3voxp02ZBo9HglVc2YNmyfGzb9m6jNc/X\nykcQnRm1WrLe8TwHq9WOmhoznM7Q3LPS+Rz0eg143mUnIIFHEG2XiAi9c5vfQH15eSSmahLRYUd9\neTnObX4D3R9bEtI5NTU1sNlsSEtL87yWKMLpdAUlcxzncZOTRdy5c2exZs1q6PUG3HDDCLfrViM3\nd7jPfO+//xG6dOnS9Pq95hQEp8dcMoHEYmvtJxharRb9+w9AWVkJfvOb23DixHEYDEbccMNwlJaW\nYOTIUSgrKwXDMMjMzPI5v2vXboiNjYMgiBg8OLNxzVK2LQDU1dXi1Ve3oFs3l7v36aeX4Oeff0KP\nHj2VMak8iysOkCA6Exwnxd5ptTwcDgEWix1Wqzmsa2g0vFJeBSBxRxDthYgIPdN330VimqCEtw7J\n8uN9M9u+fRsKC9crzx9//Enk5U0C4Cvi0tPT8dxzq5Gc7HKHGo1GFBa+5jNbIJfpxx//D5577lmf\ncW/BGDhmr3X2EwpZWUNw6NBBAEBJyTFkZw/BkCG/wt69/wAAlJYeQ9++18NgMIZ0PbnwMsMwSE+/\nRhF5ANCzZy8AwIULVYrQk5ESN1xWPfkDK9SM3bVrV+Nvf9uD4uIjqKqqREHBCly6dBEMwyInZyQW\nLHhE+fnec88d0Gq14HkpMH358ufQq1fvxuu8gOLi/bh06SKKi48o11+0aG6jO1tEt27dkZ+/LOSf\nCUF4wzCARqOCVqsCyzKwWOy4csUUllWbYRhotSro9Srlb5sEHkG0LyIi9PR9+0bVoue+jlCJi4uH\nWq3GhQsXPMbHjZuAoUOHAQBmznzA4zVZxDEMkJiYjJSUFJ+bIsfxGDBgYFjrHjVqNLZufUd5furU\nSbz4YoHHWLT2EwpDhgzFjh3voK6uDmVlJcjJGYXs7CFYv34trFYrSktLkJ09JOzrAkBMTAx4nlUS\nN1QqSVjZbLag5zqdgtJIXc7Y9UdZWQksFpcFhON4LFjwMPr3Hwi73Y7FixeiqOhzjBlzq3LMmjUb\ncM01vlbasWNvw6xZc3Hnnbd5jK9evQ5GoyTsCgvXYfv2bXjwwQVB90EQ7mg0PDQaHioVD5vNgYYG\nK+z20EqjyFCCBUF0HCIi9LrMmdtmYvRCheeljNNDhw5i7lzXh21SUpLfGLXmiLhQiIuLR1xcvPLc\nZDIBQFhzRXM/mZnZEEURx44dwYkTx7Fw4aPo3bsPdDo9jhz5CqdPn8IDD0y7qjlkl6xspQsVUUSj\nwBMbRR8UF68oSlm7NpsNr71WiIKCl7B378cApLqCycnJAACVSoU+ffriwoWqkObMzh7a5Lgs8gRB\ngNlshk6nD2svROdFrZbEnVrNw+FwwmKxo67OEnYxcbk4skrFURcLguggRETo8bGxIcfGtSUmTZqC\nJ598DP/850cYP35itJdz1URrP7Gxsejduw927vwrWJbD9df3A8MwyMrKxjvvvAWn06EUam4KlUoF\nm80a1pzuRZhDRRJ9ri8plo/Bf//3Zkyc+DskJCQ0eV5NTTUOHCjCunWe9RHz85dAFEXk5ORi9ux5\nISXcLFnyCE6dOomePXtj0aLFIa+d6HyoVBy0WpUi7qxWB+rrrSGXRZHhOAZarVT/zl3XkcgjiI4B\n1dELwOjRYzBp0hSsWvUsjh49gtzc0YiPj0dNTQ2++upLAAjb6uJ0Stmv3qSmpiM1NbWJM1qO1thP\nqAwZMhR79uzCjTfeBI6TmppnZw9BYeF6dOvWHUlJyX7P7dGjJ/bv34eioi+QmpqG5OSUgDGNADwS\nL+QiyuF8/klJKsB3332DkydPYP78hW4xSlCuZbPZsHTpn5CXN1mJDwSATZs2IzU1DSaTCatWLcOO\nHdswderMoPOuXfsynE4nXn/9FXzwwW7cf//00BdNdGgYRrLcyV9OpwCr1Y6GBmuzssk1Gl4RimS9\nI4iOCwm9IPzxj0uQnT0U7723GwUFK9HQYEJCQjwyMjKxbl0hcnJGhnW9+vp6zJkzw2d87tyHMGvW\nnBZatX9aej+hkpU1BHv27PJwW2ZlDWn87t+aBwB3352Hb745jeefX4Ha2lrMnj0XDz44P+S5GYYB\nxzFubtrQOX68DD/8cAZ/+IPLAnr33Xfgv/7rHcTGxmDlyj/j+uv7YfJkz/jG1FQpu1mv12PixN/h\nww/fD3lOjuMwbtxELF+eT0Kvk8OyjOKW5XlOsdw1V9y5d74g6x1BdA4YMdxPvhCoqDiJLl16tPRl\nCaLFkEVfuB+WubnDlEzZ1atXQRAELF36LBjGZTk0m80QBCcMBiMcDgf+8pfnkZSUjHnzFvq9Vm1t\nLRwOOxITpXjJrVvfxI8/nsGKFS/4XUtl5U9IT6f3WUeD51nFasdxDGw2SdzZ7Y6wY+4AyTUrZ99y\nHEvWO4LoZJBFj+iUuLJtmca6fKGVWJEpLy/VrdL1AAAEoUlEQVTFRx99iN69+2DatMkAgIkT78R9\n901BTc0V5OcvgSAIcDoFZGQMxvTps5VzV69epZSbueuu2zFixE2YOnUmli3Lh8NhhyiK6NGjFxYv\nfqJlN020SWSrnVrNQaXiIQgCbDZns7JlZaSyKJJrluc9EytI5BFE54IsegThRnPi+ZpCFpLyh6qU\nwXv113WHLHrtE4ZhGkUdB7Va+l/bbnfCZnPAbndeVfcWOe5OpeI85iMIovNCFj2CcEOO5wNcVr7m\niDP3si3ydWULovR6yws/om3CsgxUKk75YlkWdrsTdrsj7PZjTSHH8Mk17wASdwRBuCChRxB+kMur\nALKlL/xkDhmXqAsk/Jp/faLtwPOsIup4XrKsORxO2O1SfTuH4+qEnXuCBlnuCIIIBgk9gggBydIH\nAEyzEznc8RV+rg4djUco85D2a7twHAueZ8HzHFQqFhzHQRAE2O2uunZX83ciIydoyNm38j8EJO4I\ngggGCT2CCBPvRI6WcMP6unoBwGX1k2v3keUvesiCzv270ynA4RDgcDjR0OCAw+FsMWGuUnGKS1Zu\n0UcJFQRBhEurCT1K4Sc6A7Lok128ciLH1Qox2drnbvWT5mM8rH+JiQZFbDidgvKYhGDzYBgGPM+C\n41jFWsdxLFiWgdMpwG4XlBZjV+uC9Ybj2MYEDVeShrwm9+8EQRDh0CpCT25ZpdFoW+PyBNFmkWPu\n3F28LWmBc/XftYJhWFRXmxQxIhfDlfv9ysJP/hIEUfnemZF7Isvf3b8ANIplJ5xOAWazAw5H6/zM\nZGEnZ9/KXVwAEnUEQbQcrVJepaamBufPVyI+PhlqtYZuWgSBlnG9iqIIu92G6uqLiIlJgE5naPI4\nd8uUt7CRewBLdf6k79Jzz6/2ZhWU3dy+Xyw4Tvou791b+EbCEkrCjiCIaNAqQg+QxF5V1QXY7fbW\nuDxBdAi8kzJCgeN4GI3xfkVeKHiLv6ZEknu3D/dSM+4xid7j8p6k78ou/catybGIrseerkr3eEj3\n2oTu402t1X3N0bJmupI0SNgRBBE9Wk3oEQQRHPcPflmU2O1OJcC/pePAwsVbTAUTXk0JNympBB5j\n8l3HXeR6C8NQhGVbsT66J2ioVJwinknYEQQRbUjoEUQbo2nxJwu/6Iu/zo5L1MklVUjUEQTRdiGh\nRxDtAF/xJyoJA+5f9G5uGRgGPokaPM+B4xgSdQRBtCtI6BFEO8X9rSsLDjkWzb3UivyY8MW7jIr8\n5d6xRIZEHUEQ7RESegTRAWlaBPpm2coJCm0l1q2l8E4ukcWbdxYuQGKOIIiODQk9guiEeL/tZYEj\nJz54i0DvpAh/j1uSppM9fB97izn5tUD7JAiC6CyQ0CMIwi+Bbg9NiSb3cjHh3llcbd/8XzuctRAE\nQRAk9AiCIAiCIDosbLQXQBAEQRAEQbQOJPQIgiAIgiA6KCT0CIIgCIIgOigk9AiCIAiCIDooJPQI\ngiAIgiA6KCT0CIIgCIIgOigk9AiCIAiCIDooJPQIgiAIgiA6KCT0CIIgCIIgOigk9AiCIAiCIDoo\nJPQIgiAIgiA6KCT0CIIgCIIgOij/H2f56cUJZVVeAAAAAElFTkSuQmCC\n", + "text/plain": [ + "\u003cFigure size 1000x1000 with 1 Axes\u003e" + ] + }, + "metadata": { + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "#@title Plot\n", + "\n", + "use_polar = True\n", + "plt.figure(figsize=(10, 10))\n", + "ax = plt.subplot(111, polar=use_polar)\n", + "\n", + "policy_42513_mean_df = policy_42513_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_42513_mean_df.index,\n", + " policy_42513_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='y')\n", + "\n", + "policy_4251_mean_df = policy_4251_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_4251_mean_df.index,\n", + " policy_4251_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='k')\n", + "\n", + "policy_425_mean_df = policy_425_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_425_mean_df.index,\n", + " policy_425_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='b')\n", + "\n", + "policy_42_mean_df = policy_42_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_42_mean_df.index,\n", + " policy_42_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='g')\n", + "\n", + "policy_4_mean_df = policy_4_df.groupby(\"angle\").mean()\n", + "ax.plot(\n", + " policy_4_mean_df.index,\n", + " policy_4_mean_df[\"return\"],\n", + " \".-\",\n", + " linewidth=5, color='r')\n", + "\n", + "legend = ax.legend([\n", + " r\"GPE + GPI with $\\Pi_{4}$\",\n", + " r\"GPE + GPI with $\\Pi_{42}$\",\n", + " r\"GPE + GPI with $\\Pi_{425}$\",\n", + " r\"GPE + GPI with $\\Pi_{4251}$\",\n", + " r\"GPE + GPI with $\\Pi_{42513}$\",\n", + " r\"$Q$-learning\",\n", + " ],\n", + " fontsize=\"15\",\n", + " loc=\"best\")\n", + "\n", + "ax.set_theta_zero_location(\"N\")\n", + "ax.set_theta_direction(-1)\n", + "\n", + "lines, labels = ax.set_thetagrids(\n", + " (0, 45, 90, 135, 315),\n", + " (r\"$\\mathbf{w}_2 = [0,1]$\", r\"$\\mathbf{w}_5 = [1,1]$\",\n", + " r\"$\\qquad \\mathbf{w}_1 = [1,0]$\", r\"$\\mathbf{w}_3 = [1,-1]$\",\n", + " r\"$\\mathbf{w}_4 = [-1,1]$\"),\n", + " fontweight=\"bold\",\n", + " fontsize=15)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "vB8evAxHCsEF" + }, + "source": [ + "# Figure 6\n", + "\n", + "To generate the q-learning results:\n", + "```\n", + "python3 ../run_dqn.py --num_episodes=20000 --report_every=100 --output_path=/tmp/fig6_dqn.csv\n", + "```\n", + "\n", + "To generate the OK results:\n", + "```\n", + "python3 train_keybooard.py --num_pretrain_episodes=20000 --policy_weights_name=12 --export_path=/tmp/fig6_keyboard\n", + "python3 ../run_ok.py --num_episodes=20000 --report_every=100 --keyboard_path=/tmp/fig6_keyboard/tfhub --output_path=/tmp/fig6_ok.csv\n", + "```\n", + "\n", + "To generate the results with fixed w:\n", + "```\n", + "# Make use of a pretrained keyboard. Change test_w to evaluate other policies such as [1,0] and [1,-1].\n", + "python3 run_true_w_fig6.py --num_episodes=1000 --keyboard_path=/tmp/fig6_keyboard/tfhub --test_w=1,1\n", + "```\n", + "\n", + "Repeat the above steps for multiple runs. Below shows the results for 10 runs." + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "cellView": "form", + "colab": {}, + "colab_type": "code", + "executionInfo": { + "elapsed": 110154, + "status": "ok", + "timestamp": 1596539542394, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "8RubRCQ-EhDf" + }, + "outputs": [], + "source": [ + "#@title Load Data\n", + "\n", + "dqn_path = os.path.join(DATA_DIR, \"fig6_dqn_{}.csv\")\n", + "dqn_df = read_data(dqn_path, num_seeds=10)\n", + "dqn_df[\"method\"] = \"Q-Learning\"\n", + "ok_path = os.path.join(DATA_DIR, \"fig6_ok_{}.csv\")\n", + "ok_df = read_data(ok_path, num_seeds=10)\n", + "ok_df[\"method\"] = \"GPE + GPI with varying w\"\n", + "fig6_df = pd.concat([dqn_df, ok_df])\n", + "\n", + "test_ws = [[1, 1], [1, 0], [1, -1]]\n", + "test_dfs = []\n", + "for test_w in test_ws:\n", + " test_w_str = \"|\".join([str(x) for x in test_w])\n", + " path = os.path.join(DATA_DIR, \"fig6_true_w=\" + test_w_str + \"_{}.csv\")\n", + " test_dfs.append(read_data(path, num_seeds=10))" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "cellView": "form", + "colab": { + "height": 400 + }, + "colab_type": "code", + "executionInfo": { + "elapsed": 4459, + "status": "ok", + "timestamp": 1596539546864, + "user": { + "displayName": "", + "photoUrl": "", + "userId": "" + }, + "user_tz": -60 + }, + "id": "7PBgQoxELoAz", + "outputId": "0e7f74a1-6252-4549-d0ba-a40737ee9a21" + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAt8AAAF/CAYAAACR/qW3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n", + "text/plain": [ + "\u003cFigure size 1200x600 with 1 Axes\u003e" + ] + }, + "metadata": { + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "#@title Plot\n", + "\n", + "fig, ax = plt.subplots(figsize=(12,6))\n", + "sns.tsplot(fig6_df, time=\"episode\", unit=\"seed\", value=\"eval_0\", condition=\"method\", ci=95, ax=ax)\n", + "\n", + "ax.axhline(test_dfs[0][\"return\"].mean(), color='g', linestyle='--', label=test_ws[0])\n", + "ax.axhline(test_dfs[1][\"return\"].mean(), color='g', linestyle='-.', label=test_ws[1])\n", + "ax.axhline(test_dfs[2][\"return\"].mean(), color='g', linestyle=':', label=test_ws[2])\n", + "\n", + "ax.legend();" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [], + "name": "generate_figures.ipynb", + "provenance": [ + { + "file_id": "1uLGieQXt93jX0ASo-qSCvnjEV67_4ZOO", + "timestamp": 1591027877583 + } + ], + "toc_visible": true + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/option_keyboard/gpe_gpi_experiments/run_dqn_fig4b.py b/option_keyboard/gpe_gpi_experiments/run_dqn_fig4b.py index 0157be5..dc31ccc 100644 --- a/option_keyboard/gpe_gpi_experiments/run_dqn_fig4b.py +++ b/option_keyboard/gpe_gpi_experiments/run_dqn_fig4b.py @@ -32,6 +32,9 @@ from option_keyboard import scavenger FLAGS = flags.FLAGS flags.DEFINE_integer("num_episodes", 10000, "Number of training episodes.") +flags.DEFINE_integer("report_every", 5, + "Frequency at which metrics are reported.") +flags.DEFINE_string("output_path", None, "Path to write out training curves.") def main(argv): @@ -56,7 +59,13 @@ def main(argv): optimizer_name="AdamOptimizer", optimizer_kwargs=dict(learning_rate=3e-4,)) - experiment.run(env, agent, num_episodes=FLAGS.num_episodes) + _, ema_returns = experiment.run( + env, + agent, + num_episodes=FLAGS.num_episodes, + report_every=FLAGS.report_every) + if FLAGS.output_path: + experiment.write_returns_to_file(FLAGS.output_path, ema_returns) if __name__ == "__main__": diff --git a/option_keyboard/gpe_gpi_experiments/run_dqn_fig5.py b/option_keyboard/gpe_gpi_experiments/run_dqn_fig5.py index 623bd21..06f4b74 100644 --- a/option_keyboard/gpe_gpi_experiments/run_dqn_fig5.py +++ b/option_keyboard/gpe_gpi_experiments/run_dqn_fig5.py @@ -32,7 +32,10 @@ from option_keyboard import scavenger FLAGS = flags.FLAGS flags.DEFINE_integer("num_episodes", 10000, "Number of training episodes.") -flags.DEFINE_list("test_w", [], "The w to test.") +flags.DEFINE_list("test_w", None, "The w to test.") +flags.DEFINE_integer("report_every", 200, + "Frequency at which metrics are reported.") +flags.DEFINE_string("output_path", None, "Path to write out training curves.") def main(argv): @@ -58,7 +61,13 @@ def main(argv): optimizer_name="AdamOptimizer", optimizer_kwargs=dict(learning_rate=3e-4,)) - experiment.run(env, agent, num_episodes=FLAGS.num_episodes) + _, ema_returns = experiment.run( + env, + agent, + num_episodes=FLAGS.num_episodes, + report_every=FLAGS.report_every) + if FLAGS.output_path: + experiment.write_returns_to_file(FLAGS.output_path, ema_returns) if __name__ == "__main__": diff --git a/option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4b.py b/option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4b.py new file mode 100644 index 0000000..b1bd0ed --- /dev/null +++ b/option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4b.py @@ -0,0 +1,97 @@ +# Lint as: python3 +# pylint: disable=g-bad-file-header +# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ +r"""Run an experiment. + +Run GPE/GPI on task (1, -1) with w obtained by regression. + + +For example, first train a keyboard: + +python3 train_keyboard.py -- --logtostderr --policy_weights_name=12 \ + --export_path=/tmp/option_keyboard/keyboard + + +Then, evaluate the keyboard with w by regression. + +python3 run_regressed_w_fig4b.py -- --logtostderr \ + --keyboard_path=/tmp/option_keyboard/keyboard_12/tfhub +""" + +from absl import app +from absl import flags + +import numpy as np +import tensorflow.compat.v1 as tf +import tensorflow_hub as hub + +from option_keyboard import configs +from option_keyboard import environment_wrappers +from option_keyboard import experiment +from option_keyboard import scavenger +from option_keyboard import smart_module + +from option_keyboard.gpe_gpi_experiments import regressed_agent + +FLAGS = flags.FLAGS +flags.DEFINE_integer("num_episodes", 4000, "Number of training episodes.") +flags.DEFINE_integer("report_every", 5, + "Frequency at which metrics are reported.") +flags.DEFINE_string("keyboard_path", None, "Path to keyboard model.") +flags.DEFINE_string("output_path", None, "Path to write out training curves.") + + +def main(argv): + del argv + + # Load the keyboard. + keyboard = smart_module.SmartModuleImport(hub.Module(FLAGS.keyboard_path)) + + # Create the task environment. + base_env_config = configs.get_fig4_task_config() + base_env = scavenger.Scavenger(**base_env_config) + base_env = environment_wrappers.EnvironmentWithLogging(base_env) + + # Wrap the task environment with the keyboard. + additional_discount = 0.9 + env = environment_wrappers.EnvironmentWithKeyboardDirect( + env=base_env, + keyboard=keyboard, + keyboard_ckpt_path=None, + additional_discount=additional_discount, + call_and_return=False) + + # Create the player agent. + agent = regressed_agent.Agent( + batch_size=10, + optimizer_name="AdamOptimizer", + optimizer_kwargs=dict(learning_rate=3e-2,), + init_w=np.random.normal(size=keyboard.num_cumulants) * 0.1, + ) + + _, ema_returns = experiment.run( + env, + agent, + num_episodes=FLAGS.num_episodes, + report_every=FLAGS.report_every, + num_eval_reps=20) + if FLAGS.output_path: + experiment.write_returns_to_file(FLAGS.output_path, ema_returns) + + +if __name__ == "__main__": + tf.disable_v2_behavior() + app.run(main) diff --git a/option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4.py b/option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4c.py similarity index 82% rename from option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4.py rename to option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4c.py index f5b9c7c..84a6c25 100644 --- a/option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4.py +++ b/option_keyboard/gpe_gpi_experiments/run_regressed_w_fig4c.py @@ -27,7 +27,7 @@ python3 train_keyboard.py -- --logtostderr --policy_weights_name=12 \ Then, evaluate the keyboard with w by regression. -python3 run_regressed_w_fig4.py -- --logtostderr \ +python3 run_regressed_w_fig4c.py -- --logtostderr \ --keyboard_path=/tmp/option_keyboard/keyboard_12/tfhub """ @@ -47,8 +47,11 @@ from option_keyboard import smart_module from option_keyboard.gpe_gpi_experiments import regressed_agent FLAGS = flags.FLAGS -flags.DEFINE_integer("num_episodes", 1000, "Number of training episodes.") +flags.DEFINE_integer("num_episodes", 100, "Number of training episodes.") +flags.DEFINE_integer("report_every", 1, + "Frequency at which metrics are reported.") flags.DEFINE_string("keyboard_path", None, "Path to keyboard model.") +flags.DEFINE_string("output_path", None, "Path to write out training curves.") def main(argv): @@ -75,16 +78,18 @@ def main(argv): agent = regressed_agent.Agent( batch_size=10, optimizer_name="AdamOptimizer", - optimizer_kwargs=dict(learning_rate=1e-1,), + optimizer_kwargs=dict(learning_rate=3e-2,), init_w=np.random.normal(size=keyboard.num_cumulants) * 0.1, ) - experiment.run( + _, ema_returns = experiment.run( env, agent, num_episodes=FLAGS.num_episodes, - report_every=2, + report_every=FLAGS.report_every, num_eval_reps=100) + if FLAGS.output_path: + experiment.write_returns_to_file(FLAGS.output_path, ema_returns) if __name__ == "__main__": diff --git a/option_keyboard/gpe_gpi_experiments/run_regressed_w_with_phi_fig4c.py b/option_keyboard/gpe_gpi_experiments/run_regressed_w_with_phi_fig4c.py index 020fda6..ed91526 100644 --- a/option_keyboard/gpe_gpi_experiments/run_regressed_w_with_phi_fig4c.py +++ b/option_keyboard/gpe_gpi_experiments/run_regressed_w_with_phi_fig4c.py @@ -35,7 +35,7 @@ python3 train_keyboard_with_phi.py -- --logtostderr \ Finally, evaluate the keyboard with w by regression. -python3 run_regressed_w_with_phi_fig4b.py -- --logtostderr \ +python3 run_regressed_w_with_phi_fig4c.py -- --logtostderr \ --phi_model_path=/tmp/option_keyboard/phi_model_3d \ --keyboard_path=/tmp/option_keyboard/keyboard_3d/tfhub """ @@ -56,9 +56,12 @@ from option_keyboard import smart_module from option_keyboard.gpe_gpi_experiments import regressed_agent FLAGS = flags.FLAGS -flags.DEFINE_integer("num_episodes", 1000, "Number of training episodes.") +flags.DEFINE_integer("num_episodes", 100, "Number of training episodes.") +flags.DEFINE_integer("report_every", 1, + "Frequency at which metrics are reported.") flags.DEFINE_string("phi_model_path", None, "Path to phi model.") flags.DEFINE_string("keyboard_path", None, "Path to keyboard model.") +flags.DEFINE_string("output_path", None, "Path to write out training curves.") def main(argv): @@ -88,16 +91,18 @@ def main(argv): agent = regressed_agent.Agent( batch_size=10, optimizer_name="AdamOptimizer", - optimizer_kwargs=dict(learning_rate=1e-1,), + optimizer_kwargs=dict(learning_rate=3e-2,), init_w=np.random.normal(size=keyboard.num_cumulants) * 0.1, ) - experiment.run( + _, ema_returns = experiment.run( env, agent, num_episodes=FLAGS.num_episodes, - report_every=2, + report_every=FLAGS.report_every, num_eval_reps=100) + if FLAGS.output_path: + experiment.write_returns_to_file(FLAGS.output_path, ema_returns) if __name__ == "__main__": diff --git a/option_keyboard/gpe_gpi_experiments/run_true_w_fig4.py b/option_keyboard/gpe_gpi_experiments/run_true_w_fig4.py index 6ce92e3..b5c7bfe 100644 --- a/option_keyboard/gpe_gpi_experiments/run_true_w_fig4.py +++ b/option_keyboard/gpe_gpi_experiments/run_true_w_fig4.py @@ -30,11 +30,14 @@ python3 run_true_w_fig4.py -- --logtostderr \ --keyboard_path=/tmp/option_keyboard/keyboard_12/tfhub """ +import csv + from absl import app from absl import flags import numpy as np import tensorflow.compat.v1 as tf +from tensorflow.compat.v1.io import gfile import tensorflow_hub as hub from option_keyboard import configs @@ -48,6 +51,7 @@ from option_keyboard.gpe_gpi_experiments import regressed_agent FLAGS = flags.FLAGS flags.DEFINE_integer("num_episodes", 1000, "Number of training episodes.") flags.DEFINE_string("keyboard_path", None, "Path to keyboard model.") +flags.DEFINE_string("output_path", None, "Path to write out returns.") def main(argv): @@ -86,6 +90,13 @@ def main(argv): f"Avg. return over {FLAGS.num_episodes} episodes is {np.mean(returns)}") tf.logging.info("#" * 80) + if FLAGS.output_path: + with gfile.GFile(FLAGS.output_path, "w") as file: + writer = csv.writer(file, delimiter=" ", quoting=csv.QUOTE_MINIMAL) + writer.writerow(["return"]) + for val in returns: + writer.writerow([val]) + if __name__ == "__main__": tf.disable_v2_behavior() diff --git a/option_keyboard/gpe_gpi_experiments/run_true_w_fig6.py b/option_keyboard/gpe_gpi_experiments/run_true_w_fig6.py index 21b7950..2b04763 100644 --- a/option_keyboard/gpe_gpi_experiments/run_true_w_fig6.py +++ b/option_keyboard/gpe_gpi_experiments/run_true_w_fig6.py @@ -26,15 +26,18 @@ python3 train_keyboard.py -- --logtostderr --policy_weights_name=12 Then, evaluate the keyboard with a fixed w. -python3 run_true_w_fig4.py -- --logtostderr \ +python3 run_true_w_fig6.py -- --logtostderr \ --keyboard_path=/tmp/option_keyboard/keyboard_12/tfhub """ +import csv + from absl import app from absl import flags import numpy as np import tensorflow.compat.v1 as tf +from tensorflow.compat.v1.io import gfile import tensorflow_hub as hub from option_keyboard import configs @@ -48,7 +51,8 @@ from option_keyboard.gpe_gpi_experiments import regressed_agent FLAGS = flags.FLAGS flags.DEFINE_integer("num_episodes", 1000, "Number of training episodes.") flags.DEFINE_string("keyboard_path", None, "Path to keyboard model.") -flags.DEFINE_list("test_w", [], "The w to test.") +flags.DEFINE_list("test_w", None, "The w to test.") +flags.DEFINE_string("output_path", None, "Path to write out returns.") def main(argv): @@ -87,6 +91,13 @@ def main(argv): f"Avg. return over {FLAGS.num_episodes} episodes is {np.mean(returns)}") tf.logging.info("#" * 80) + if FLAGS.output_path: + with gfile.GFile(FLAGS.output_path, "w") as file: + writer = csv.writer(file, delimiter=" ", quoting=csv.QUOTE_MINIMAL) + writer.writerow(["return"]) + for val in returns: + writer.writerow([val]) + if __name__ == "__main__": tf.disable_v2_behavior() diff --git a/option_keyboard/gpe_gpi_experiments/train_phi_model.py b/option_keyboard/gpe_gpi_experiments/train_phi_model.py index 1195e4e..6fcbc0f 100644 --- a/option_keyboard/gpe_gpi_experiments/train_phi_model.py +++ b/option_keyboard/gpe_gpi_experiments/train_phi_model.py @@ -139,10 +139,8 @@ def main(argv): tasks = [ [1.0, 0.0], [0.0, 1.0], - [-1.0, 0.0], - [0.0, -1.0], - [0.7, 0.3], - [-0.3, -0.7], + [1.0, 1.0], + [-1.0, 1.0], ] if FLAGS.normalisation == "L1": diff --git a/option_keyboard/run_dqn.py b/option_keyboard/run_dqn.py index d6b1dee..fba4ccb 100644 --- a/option_keyboard/run_dqn.py +++ b/option_keyboard/run_dqn.py @@ -29,6 +29,9 @@ from option_keyboard import scavenger FLAGS = flags.FLAGS flags.DEFINE_integer("num_episodes", 10000, "Number of training episodes.") +flags.DEFINE_integer("report_every", 200, + "Frequency at which metrics are reported.") +flags.DEFINE_string("output_path", None, "Path to write out training curves.") def main(argv): @@ -53,7 +56,13 @@ def main(argv): optimizer_name="AdamOptimizer", optimizer_kwargs=dict(learning_rate=3e-4,)) - experiment.run(env, agent, num_episodes=FLAGS.num_episodes) + _, ema_returns = experiment.run( + env, + agent, + num_episodes=FLAGS.num_episodes, + report_every=FLAGS.report_every) + if FLAGS.output_path: + experiment.write_returns_to_file(FLAGS.output_path, ema_returns) if __name__ == "__main__": diff --git a/option_keyboard/run_ok.py b/option_keyboard/run_ok.py index 2d9f7a9..7fb7398 100644 --- a/option_keyboard/run_ok.py +++ b/option_keyboard/run_ok.py @@ -36,7 +36,10 @@ FLAGS = flags.FLAGS flags.DEFINE_integer("num_episodes", 10000, "Number of training episodes.") flags.DEFINE_integer("num_pretrain_episodes", 20000, "Number of pretraining episodes.") +flags.DEFINE_integer("report_every", 200, + "Frequency at which metrics are reported.") flags.DEFINE_string("keyboard_path", None, "Path to pretrained keyboard model.") +flags.DEFINE_string("output_path", None, "Path to write out training curves.") def main(argv): @@ -84,7 +87,13 @@ def main(argv): optimizer_name="AdamOptimizer", optimizer_kwargs=dict(learning_rate=3e-4,)) - experiment.run(env, agent, num_episodes=FLAGS.num_episodes) + _, ema_returns = experiment.run( + env, + agent, + num_episodes=FLAGS.num_episodes, + report_every=FLAGS.report_every) + if FLAGS.output_path: + experiment.write_returns_to_file(FLAGS.output_path, ema_returns) if __name__ == "__main__": diff --git a/option_keyboard/smart_module.py b/option_keyboard/smart_module.py index c704ee3..739dc12 100644 --- a/option_keyboard/smart_module.py +++ b/option_keyboard/smart_module.py @@ -17,11 +17,10 @@ """Smart module export/import utilities.""" import inspect -import os import pickle -import shutil import tensorflow.compat.v1 as tf +from tensorflow.compat.v1.io import gfile import tensorflow_hub as hub import tree as nest import wrapt @@ -164,9 +163,9 @@ class SmartModuleExport(object): module_session.run( assign_ops, feed_dict=dict(zip(assign_phs, module_weights))) - if overwrite and os.path.exists(path): - shutil.rmtree(path) - os.makedirs(path) + if overwrite and gfile.exists(path): + gfile.rmtree(path) + gfile.makedirs(path) hub_module.export(path, module_session)