diff --git a/Q-learning.ipynb b/Q-learning.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4b7f1a7c-8660-4e8e-95e5-d4a1b5ed9c9a",
+   "metadata": {},
+   "source": [
+    "#  Reinforcement Learning: Q Learning for CliffWalking"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c804311c-3cb5-469b-bb1e-fdc2f36c1637",
+   "metadata": {},
+   "source": [
+    "### Import Libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "ef649eab-2612-4fa7-86f9-a6376d9067d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gym\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from IPython import display"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec8b8b86-e2da-4048-b127-e20fb28ea2c4",
+   "metadata": {},
+   "source": [
+    "### Helper Function Definition "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "3f5b6625-0533-4b6a-ab45-baa9f27164cc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Helper functions:\n",
+    "\n",
+    "def determine_policy_from_Q(Q):\n",
+    "    \"\"\"Derive policy from Q-values.\"\"\"\n",
+    "    return np.argmax(Q, axis=1)\n",
+    "\n",
+    "def visualize_policy_execution(env, policy, episodes=5):\n",
+    "    \"\"\"Visualize the policy execution for CliffWalking.\"\"\"\n",
+    "    action_names = [\"UP\", \"RIGHT\", \"DOWN\", \"LEFT\"]\n",
+    "    \n",
+    "    for episode in range(episodes):\n",
+    "        state, _ = env.reset()\n",
+    "        total_reward = 0\n",
+    "        steps = 0\n",
+    "        done = False\n",
+    "        \n",
+    "        while not done:\n",
+    "            # Load environment\n",
+    "            frame = env.render()\n",
+    "            plt.imshow(frame)\n",
+    "            plt.axis('off')\n",
+    "            plt.title(f'Episode {episode + 1}, Steps: {steps}\\nAction: {action_names[policy[state]]}')\n",
+    "            display.clear_output(wait=True)\n",
+    "            display.display(plt.gcf())\n",
+    "            plt.pause(0.5)  # Pause to see movements clearly\n",
+    "            \n",
+    "            action = policy[state]\n",
+    "            next_state, reward, terminated, truncated, _ = env.step(action)\n",
+    "            done = terminated or truncated\n",
+    "            \n",
+    "            state = next_state\n",
+    "            total_reward += reward\n",
+    "            steps += 1\n",
+    "        \n",
+    "        print(f\"Episode {episode + 1}: Steps = {steps}, Total Reward = {total_reward}\")\n",
+    "        plt.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84051dd7-c205-4a12-98cc-13a2db94ce67",
+   "metadata": {},
+   "source": [
+    "### Q Learning Function Definition "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "13f2e7e6-1493-488c-bccc-f06cc2926aa5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def Q_learning(env, n_episodes=5000, learning_rate=0.1, gamma=0.99, epsilon_decay=0.995, min_epsilon=0.01):\n",
+    "    \"\"\"Q-Learning algorithm for CliffWalking.\"\"\"\n",
+    "    num_states = env.observation_space.n\n",
+    "    num_actions = env.action_space.n\n",
+    "    Q = np.zeros((num_states, num_actions))\n",
+    "    epsilon = 1.0\n",
+    "    episode_rewards = []\n",
+    "    \n",
+    "    for episode in range(n_episodes):\n",
+    "        state, _ = env.reset()\n",
+    "        total_reward = 0\n",
+    "        done = False\n",
+    "        \n",
+    "        while not done:\n",
+    "            # Epsilon-greedy action selection\n",
+    "            if np.random.random() < epsilon:\n",
+    "                action = env.action_space.sample()\n",
+    "            else:\n",
+    "                action = np.argmax(Q[state])\n",
+    "            \n",
+    "            # Take action and observe result\n",
+    "            next_state, reward, terminated, truncated, _ = env.step(action)\n",
+    "            done = terminated or truncated\n",
+    "            \n",
+    "            # Update Q-value\n",
+    "            best_next_action = np.argmax(Q[next_state])\n",
+    "            td_target = reward + gamma * Q[next_state, best_next_action] * (not done)\n",
+    "            td_error = td_target - Q[state, action]\n",
+    "            Q[state, action] += learning_rate * td_error\n",
+    "            \n",
+    "            state = next_state\n",
+    "            total_reward += reward\n",
+    "        \n",
+    "        # Decay epsilon\n",
+    "        epsilon = max(min_epsilon, epsilon * epsilon_decay)\n",
+    "        episode_rewards.append(total_reward)\n",
+    "        \n",
+    "        if (episode + 1) % 100 == 0:\n",
+    "            avg_reward = np.mean(episode_rewards[-100:])\n",
+    "            print(f\"Episode {episode + 1}, Average Reward (last 100): {avg_reward:.2f}, Epsilon: {epsilon:.3f}\")\n",
+    "    \n",
+    "    return Q"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a8c0a201-1c52-4920-b07b-90e150c03fa5",
+   "metadata": {},
+   "source": [
+    "### CliffWalking Environment Creation "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "ef5847d0-b59f-464e-8469-7ed548d17bc2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Training agent using Q-Learning...\n",
+      "Episode 100, Average Reward (last 100): -9826.04, Epsilon: 0.606\n",
+      "Episode 200, Average Reward (last 100): -390.56, Epsilon: 0.367\n",
+      "Episode 300, Average Reward (last 100): -148.57, Epsilon: 0.222\n",
+      "Episode 400, Average Reward (last 100): -89.96, Epsilon: 0.135\n",
+      "Episode 500, Average Reward (last 100): -58.11, Epsilon: 0.082\n",
+      "Episode 600, Average Reward (last 100): -29.94, Epsilon: 0.049\n",
+      "Episode 700, Average Reward (last 100): -28.24, Epsilon: 0.030\n",
+      "Episode 800, Average Reward (last 100): -20.66, Epsilon: 0.018\n",
+      "Episode 900, Average Reward (last 100): -18.33, Epsilon: 0.011\n",
+      "Episode 1000, Average Reward (last 100): -20.40, Epsilon: 0.010\n",
+      "Episode 1100, Average Reward (last 100): -14.23, Epsilon: 0.010\n",
+      "Episode 1200, Average Reward (last 100): -18.35, Epsilon: 0.010\n",
+      "Episode 1300, Average Reward (last 100): -22.87, Epsilon: 0.010\n",
+      "Episode 1400, Average Reward (last 100): -19.45, Epsilon: 0.010\n",
+      "Episode 1500, Average Reward (last 100): -18.45, Epsilon: 0.010\n",
+      "Episode 1600, Average Reward (last 100): -16.26, Epsilon: 0.010\n",
+      "Episode 1700, Average Reward (last 100): -18.41, Epsilon: 0.010\n",
+      "Episode 1800, Average Reward (last 100): -18.49, Epsilon: 0.010\n",
+      "Episode 1900, Average Reward (last 100): -15.30, Epsilon: 0.010\n",
+      "Episode 2000, Average Reward (last 100): -13.07, Epsilon: 0.010\n",
+      "Episode 2100, Average Reward (last 100): -14.16, Epsilon: 0.010\n",
+      "Episode 2200, Average Reward (last 100): -14.25, Epsilon: 0.010\n",
+      "Episode 2300, Average Reward (last 100): -16.37, Epsilon: 0.010\n",
+      "Episode 2400, Average Reward (last 100): -16.38, Epsilon: 0.010\n",
+      "Episode 2500, Average Reward (last 100): -13.10, Epsilon: 0.010\n",
+      "Episode 2600, Average Reward (last 100): -16.28, Epsilon: 0.010\n",
+      "Episode 2700, Average Reward (last 100): -14.14, Epsilon: 0.010\n",
+      "Episode 2800, Average Reward (last 100): -15.25, Epsilon: 0.010\n",
+      "Episode 2900, Average Reward (last 100): -15.13, Epsilon: 0.010\n",
+      "Episode 3000, Average Reward (last 100): -16.32, Epsilon: 0.010\n",
+      "Episode 3100, Average Reward (last 100): -15.34, Epsilon: 0.010\n",
+      "Episode 3200, Average Reward (last 100): -17.43, Epsilon: 0.010\n",
+      "Episode 3300, Average Reward (last 100): -14.23, Epsilon: 0.010\n",
+      "Episode 3400, Average Reward (last 100): -17.28, Epsilon: 0.010\n",
+      "Episode 3500, Average Reward (last 100): -16.29, Epsilon: 0.010\n",
+      "Episode 3600, Average Reward (last 100): -16.43, Epsilon: 0.010\n",
+      "Episode 3700, Average Reward (last 100): -16.43, Epsilon: 0.010\n",
+      "Episode 3800, Average Reward (last 100): -14.20, Epsilon: 0.010\n",
+      "Episode 3900, Average Reward (last 100): -18.33, Epsilon: 0.010\n",
+      "Episode 4000, Average Reward (last 100): -13.14, Epsilon: 0.010\n",
+      "Episode 4100, Average Reward (last 100): -17.38, Epsilon: 0.010\n",
+      "Episode 4200, Average Reward (last 100): -15.30, Epsilon: 0.010\n",
+      "Episode 4300, Average Reward (last 100): -20.58, Epsilon: 0.010\n",
+      "Episode 4400, Average Reward (last 100): -15.28, Epsilon: 0.010\n",
+      "Episode 4500, Average Reward (last 100): -14.22, Epsilon: 0.010\n",
+      "Episode 4600, Average Reward (last 100): -16.50, Epsilon: 0.010\n",
+      "Episode 4700, Average Reward (last 100): -17.29, Epsilon: 0.010\n",
+      "Episode 4800, Average Reward (last 100): -17.36, Epsilon: 0.010\n",
+      "Episode 4900, Average Reward (last 100): -15.30, Epsilon: 0.010\n",
+      "Episode 5000, Average Reward (last 100): -13.07, Epsilon: 0.010\n",
+      "\n",
+      "Deriving optimal policy from Q-values...\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create the CliffWalking environment\n",
+    "env = gym.make('CliffWalking-v0', render_mode=\"rgb_array\")\n",
+    "\n",
+    "try:\n",
+    "    print(\"Training agent using Q-Learning...\")\n",
+    "    Q = Q_learning(env)\n",
+    "    \n",
+    "    print(\"\\nDeriving optimal policy from Q-values...\")\n",
+    "    optimal_policy = determine_policy_from_Q(Q)\n",
+    "    \n",
+    "except Exception as e:\n",
+    "    print(f\"An error occurred: {e}\")\n",
+    "    raise e"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9586a970-6fab-49bd-ac16-832c5c2ca15e",
+   "metadata": {},
+   "source": [
+    "### Visualisation "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "38c9f7fd-6968-4931-b4e4-e358d73ceaa8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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kzIAB6sbCOQO/ttgNCUNkrL2MsyWCoyW9W3qqGWJG7S2eX70Ld/pP4t7uAiTahCxsS6DaIO4SUuRRU25a4cWvPLa7hBgZ60r60plJCABACozbK5k/w5BRVbLpGyJc7CJMTWCSuUiWYCqLYRsRgszNQs8Ygl9ZnHcRzBi1cT9bewCQYsattZgHhshYVRWeW30mXtx+FKfdAGtFCUlFUauN0IuTyaDQc63D2XmUk3Utc7OyS9liiXBr4wGI5u698AYi9BcBrnGIiZEJgCFQZREvwrjREBGaxoIs4BqL022ENYS2IjADlV3y5yKwcm5Uto6qNZ5sn8ELFx9FtwtwlREF0+jJuyKki7zg76r2AMkRxV4CHG3cZDtb2EKl1ZXurBajFlHa0UZItY3Fuq3RDwEhJrABNmuHnAfsZvcTgOPVjB4v6RFkNwNEBgCEb/G/Cc/sXsd/709AdF/oVRZHTYPtMCCmhGAIR43D6XYyxxDJBnN8pPRIzCULegRUpuyKS97kWZkQTWNxtGpxseuQUkYICccbh3hmJnut0juZ8UegRV9awrjLe0eoTIM/Eh9FcA3+nH0DJ2u51lQWx02Ls26HnBjBMI5ah3unpd/k260hnBz7Rf/O6bkZT6Vfy/POGZwcyaRctcLf6cUOOYqwPl4Thu3sGZKd/9bKLOy7c3rzPqw94Xb1OL7tNOAjj3wuvjv86KjVrxuHdd3grNvBimKNIyLcK+/UvvOeUHkzmtn2+ZvzVOZp4a+uDGoVLnbtsWoqnG07UGZkAGbl0A3yUtIVVXuDRhds0biupOct3r76bHzbqy/hh57+Avyj9GMo+4FrPRrvcd73ooGRgWHgtMw/va+pDaihiT86vPYAMbvMW9tMv3tn4Z3FthvgPcFZA8tuXHvl3avaqr17es+Cnreznwm/bfNb8Y2f+nn8zaffjf+Nf2a65hwMEXYhwFsDZxgmMbbjS4XeemVBxQFxiN6Mp0p5Vesu1qtJjDW1B2dGHyLYEZyzoJxQINpknQHr1o5a7XX8lXX/u9dfgC969Rfw524/D54B6K2qCiElDDGCDWHTWFC4XupeK3RZqRa75miju+plevYZQoR3DilncFZNzU7Ce9cNot4DMNYgqg0IDJAoAHLMvwFYylvRuIeYUDmHv/XSKzjhE7y2/ijqaqJ30fczeqJdZCaYYh+G0jPX06uUpyEmNJVHPwQYazGEIMeWQq/rRnpkRHPMLMdFsnKssgsv0uFWO4eQEkLKYJPwXXcyEp1huwmiqSm9877TsZL+C1GcREJP+bPX0wKAuvIYQkSMGW3jcbEb0NYVup0s0LIIz3ed8EYEGCAMursXegwYdzO9xnn0MSBmxll/hu+8/5vx6vknMBxlVDrXMjMueqEH3RBDLvyJ1gawzr0b6FUe3RCQMqOtPc4vBqyaCv0wjGaWlDMuOlmiZIReLPQyQJ5Gm/yD8NfFgJyBT9x/EX+5+xx85IVfRNrk8fmYM7aDOLCKQTsUSTebnzetPSKg8jInOQNVZXGxC2gqj5jiaPaIMckJRfnLSc0c6l4oa+Am/gwRvLXoQgDB4KfufBT3+s/DBz71c7ArnswCMU4KmgFyBCIv34MH4M8YgrNW1hwZGEMYQoYxBOY8fnc/RBTJTYaQIiPmqY+KXPU38GeNgSHCECOssfiBFz+KD8Z34GP5n6NqefzuLoTxpECWxMRxEMxuag+UBly0vn7IZd4jZx6PMKXFNLmKiQi1d+iHDGssgARrDFLOo0AC1HMaGTHosyo9WA3yhtS+pDbPOb2Q0viIIcK95kV8/OwFPOZFoDljEA/QG2JGzEaY10s582jPZP0U75f0hhjHbzREqL1HiAxvHQBZSDFlOY7OWj9ksW/qs0RKT23RKeui2Zt4vdJjteF+zP4iAODIORDyQf7AQBdmf9P/pSy2dFds14TJsTZ+Zxgfscag9hVSBJxzIMpyZJzxp6IIXZ8O01NHZ8xi19xfyF0M4zNVw/ip+DM4XhFqI0buy/NFNq7dIEfG4lQSJy6LY9WZ0eHj9jaabpjoeWtRe4+UAGf36OWJF3E4Jlkps9fFlBETj/S8M6Og2eePATTriB9++Sfx1FMG1liQniAz82L8MgPdkKeO1BaimHEKvcqbhZLALOPHzGAQvLOonNiyi3mHIJsYz8YqM4sNsl2Qw6DHcmvEQV55s9AMM/M4PwHAbbb4R6++H8/emswasm55dDYxgMSMPuRL6sYwZJ13Ynqq92RLzowhF3qEyjnEKI51kPhiOM9405Yyi0msWfrvyzeQkdNa7Zf0Us5QyzoIhLR5Az/y0h08c0sUy0OyDCybaIjLb9hv14p7AlBCa4YgTo2UGDHypQULiKYEyK4UU8QQAkAJxoi3L83jd8p3Zungypu5AxeDOiCC2tT2j/QE0QQBmRhDiqjbiMefyDBGNod4iF5itN6KAZ90UhBGT3Cvg+/2BK4hGWhABGAfAmKOyp/SS4fprRsVAKQTA0CvC3WnG5nft2EZA69eBWcJXRhw61bGya0Ea7JqYEt64vgB1pURBwFhpDcMSm+XYMzSnCA0zCgUnSXs+gGMBKYo9IBRQ5oIyvvLUY0KPZINzDuDi15sZ/sCyVsLS2bsz+3Q46mnGe0qwWrY4KX5otr0pjJjuBlnRoY6Z53BxTaqAFw+Wnk3Cg1rSbRZk8EUxzDFfXolVG7TFk++9G9mcSQ5S7johN7+Ial2bhQs1gDbocfb3gY4n0AkY5L3BAQyw0D4K158qF20OEEvNEpm72SMRtdecXRvuwFkEkBKb0+4F/6sIayL+UHXQ1LhRQTshoTKXT5zNn6iB2IMacDzzzOMlbW+EO6FXmI4Q1jNZAdDfR76e9dnjeq5mj9Gxm4YYEwCVLbkzNgXdZxEbrT18n0h8fiNQ7iCnvJniJA4ASbg2ecYdJ0sS4zaGjQ3aNEPZF6IMWPIYpetvUOlzpFyDCutaEqL52f/P9QkNIpHew6RCNxogE1jcNR6OGNgjcF2mOiJ4FoCPz0IPZBENZAp9jhC32ewIdQVcPuoEQeZNdh2w/hYZp403UJnqdwdbEyibYzxoIbQDRmkURGPbloQMQwZ7MJEr+y0S/4mjeEgawByOVrpgiUjoW9OHTCPP7ICcwYRTZofrtgw+Hp6UN6AKcKDjAiGWsOjnjxZywLEsv/KKeXN0ovah+VGMoTz84TVyoIIePKxtQqOjBAnGkO4DBJ2Uwo8kWjQC3oEnO0iNrrRPHVrI6e1FBeb4P7clMevpwcihJQnetrOLyKONh5EhKceFWtwH+Ji4Xd7a0/4u4mcHtEtjSjADOBil0Z/yknbgEiO0XOh3YUD9K4nBzKEYchLDT0zttuEk2MHgsGtowaGCNt+WIzPQf5+GfRSZnR9xvHKwTiH2svmvx36xfv2+buJFgAxtUWWaKTrb7u5WY3RJSIQMaIajsuxZb8Rifr9/Gs7fNMv3MFnvLyDSYc/mwyN4SzyB/HMNuPxgpFyQkhK7xATepy5rq3cER6pnwBZ8bbG8j0kTp1ynGFkPSKIOeRQM0bo/ZaXzvH1v/gqnnytPzzD1TY9hOLhV3pWQqQMEXKhl6+mdxXf83arehQbfwJjCF3IGGUoAZVGLBhDSDkh5YyY0pV2O2cNbGZ88cfv4as//Dpu3w0H+Ru9/33WJBI5NTTewFuxkceckHJCzvlK/twVf5+3x5tn0NiVLMiQR5suSGJvbaGXEmJKyJlhr+TPwoeMr/zI6/jSj93F0dkVqI1qA9x2hZ78bVWZ0QcQUkRIaTTJXEXvpvZU+zY460W7nJvaSJyXxkhyh9j4ZTO5jt56l/C1v/gqftsnTtFeFTeqp4VdN9EjInWiiYk5ZqFHuHqNOXM9f4Ysnmqfl0gmALs4M0MawqpVp5XBKFuuW9POGjx2f8A3fugOftOLF/DDFbjxRs0nel140hhdQGVZxpAiDC3NC/MuuqqfS6tMjSfb58SGzIz+rZsX1Iitx1GJtRUmjtYNVnU9Lt6yoxRN43e+cQ9f8rWv4Bt++jWsZgPv7MRg1pQvzhiPb8bQaOhOOY8axHHToqmqsRPKoOzbxfabMxa/a/Nb8Y1HXwKbnX7jjJ6l0ZAfU0ZOGQTCyWaFpvKX6WUGxYwvja/jPV/6Cv6lH30Ddjavx0Wmx+8CXlzoOUtjdEdMYg81INxqV6idl6M6Jm9qyvnanba2Fb726IvxpZsvALh4nAs9CVUr9EJUgWQMTjYr1HrsJppCkGLKaHYZX37rVXzZu1/Be3/s3rI/lT8GK39ZOtSIPbwIeECERGaGNRa32hUq55TWFG99yAw0b2u/xh88/jK8u/1soZoZJSyCs5i6RnpREna8szhZF3pYLOCYEh55I+Ar3nUHX/XYHXz+z56P1wiTE2nUvPOkEKDwRxN/DEZlHU6adjQJ7dO7qhEIt+tH8K8efyWeq54FIIH5ZfzA0HjwOX+MuvI4WrfwTumZJb3nX+7wpV90B7+nv4O3f7wbrxlViIQvHv0zI3/Mo1OYC38MtFWFo6v4y1fzZ4jwXPMs/ujxV+LE3pYT0UwBI2DmpGU5nTCwamqs2+YK/jJ+yyvn+JKvfgXf8Et38Njrk1ZqzTQXWM0IJQSvRJp4S6M9vXz7pqmxrupxAyn8MQ6bEub0Pmf1WfhDx1+BGq10YX4LQhcQJ0KI+dIuwAycXWQQOXB2OFq1sORH28u6rfG+ncUL33GEb68GvGF58ex0NmfUlR1DbLZ9Qjrw0cyE0y7BkgfY4qhp4Ywf7bqburlyR2JmfPiFgI/fEZtR0cQA4GIXcch0mBk4PY9wpgJgcdS28K4aJ0G7bvC9n7T40F/e4P/xSI9AvKA3f1nb2HEhX3Txcj0Xloyt+zuhZ0jCpBpXjVrgcdMe3IkBcQp8/GXGRz4ZwVkynYw6mc638dLZSCYS4fQ8wZoKxji0dY22akatOh83+P6fqPD+v9viv35iefSaO2IACesyaq457w5rjSkDZ12CpQrOODSuwqpuRo3muGkPPgcA988jPnXX4hc/IXFb68qOdryL7WEzRYxi5jCmgnce3lXYtK2Gzxm8+kiNH/2+Bt/3ox5/7ZFh7/mpo4iAtWb1JY093h8GMS8A28AwVKF2FZzxOKqFJ2cMNnWDw43x8msDXruo8LFP9jBEWNcWgHjCt13CtD1N3zcMQD8wCB5tXcGSx9FKaHhn8XMnDh/462t850cJ/3gTZ9SWZg4zs+mGKJlzl+iB0QXhEeyxqmoYciNPlXNofXUFf8DHX+rx+rbCS3cGjY2VOT2ErM75Jb0Mxq7LyNmAs8OmrWHgsG5rAGLf/WFv8fE/f4T/50XCh5ppRS1SoyEbaKM23S5kDIkPyrLzngFYMFsc1Q0MOawq4WlVVaM/Z7+JbBnw8n2Hu/fFvt/cFGlynV3rW7/jj/HxrRrrtUe7rgAiDCFgckiK0T5nCdnJ4ylFog62ZwPufvwNtM8e45FH1upQMeiGAGcNQkyIXULfJ2y7Drv1Szg+cVivPOqVhwFNHuBCT4394kmXI1fmPO7g5eg17cgGXQjoz1fodwbN6h5CzNjdN8AbT+DkVoX1pkJVS0pisR3N+ROHg0GMrJl1Yic6fXWL8zvnWD1/jEdPVkqP0IcIaw1iSAi7iCFknO3OEI5fxcmJx2ZdwVYGlsyCvxJDyGA4YzBEyQZMnEZhWLTCyjl19BD6GLG9e4TEA+r6AkPM2L7m4S4ew8lJhc1xDeMMjDFThMI+PWvRDxmVn/h744X76LcDNm87wSNH7XiaiDHBGOFvUP5O+zfAt+7j5Mjh6KgBrPbFLAKjaLfCn0UfxCmUskRiMANJQ0dq50ZnTIgZ56/dBlWncLYX/l5uUafbOD72OD5pwST8DHv0ZBTFRt8PEz0iwqsfeQNsgKNnjnCybjRDK4+bysjfkHEvvQJ/u8PR2uH4uEHWTXaMoNmnZyRxpXIkiTrWIs7eXTsnTqSUECNw9upt+NUbIAoYhozdiydY+SMcbTyObrVjX8SUR6FSIgREk5esLOfVucjAqx96DeaowsmTG2waESAhJtHyckYcEvouYegT7puX0N5O2LQOm5NGTquctT+W9CSSziCkDGdlfThrx74wJOFdMh4BYbA4f/0EzeY1ZE7ou4zhpUexWa2xXjtsjlsweDQLLegxq+ZqdF7KETX0Ca99+DVUT6xw+9GNnNh0/ZYoothF9H1C10Wc15/E5pbBunVYHdUAeDyFzWVLVuciWLPk6LJsKeFkZf0Ouwrb+yu0m9cRU8ZuF/GXv+n7rrQI3oi94Kww3g1hL/jbIcQ4hjMVZ0lpmRnNxuPpdz+pHyrPFqE2JT1IdEIM4sV3hi45rQiAdw4hxdF2lrN48ItSnJmRZ8e4MrH6FEAEHN3qUW8i4lbiLmNmVEovpbykR6ShOUnDZnShGoxaeM6MzaMtNo+KNmOMQYwJIU8Tr3x7CHlMabYkds6cGAHTvcYYxDzZBmPOEi3Ccs/+EccQYdBJQwScPLZFiMJf0JAxo1EDISaINW1GzxpEtUU6/dnaJX+3nj2e6BmDQUOSiDAKa0OS+56Z4cwkaOdWaEsGMJOZxCmvQk/42jcxGDIY4iD9YQm3nrqPMETETkLwSjiTJUI/RI3XVXpqO8z6TrvgL+u0Yzz2jtsL/nb9oD/PHWckIVVO6BlIKNjc2eWMReYpfMjM+eOlcC5zYu449d7g9tN3EfqM2NMYMiZmOKDrl/QqtxTghgxSTjAWo+JDBDzxmx7Tn2nBn9P4Y4hFaAwZsxrR04VhudadQ0xxXN8EUQRE4cEl/uSbaHRGNQ3gnn4DsWPR0DVcy2kMeTcMh2ULGKSBHDmn0VkLMFxl8NRveWIcb5opTEtNVpxpqGUeidZ+mb9JtqgJEXkMEbwkW5RGUZjWm4SquYe4k9PCWwsZowlXYd5yZty934+Dng/Ex+23ENPCm1x+zppSW+IOTeFq1mJm3L2Y6CW+3sYJSEztfCGXSZEjwxHBG3ECzW2nI72Yce908p5eZ9MprR/C4r7CX4oS6F/suKS23eW3JpzulpELN7V9b3LMskHEyIJjQGqHP0CvGxLOLiZ6hyIX9ttu5k1m1mdYBHxbiyffOVmFtDertkPExczscJMNFwB2YRjHOKuPACzxqitNvXVewWX2+LvYRXRzeg/IX2k58zinY8xYNwpS5Gj0Bczb2W5AH6a5fdP4sfI3vz8zA5kRUsbai6SR8btM797ZIOnKD0qPecFf0ZaFPx7NC0XB2n/23kWPODP5ldPIVS0zL7z/xW7KScLRSsjYftZqoXf3fj/FgvPM5nxFSzkvIqfK2mMNN20VB+VQfhAz4+75lDx1k39I+MmXInEElEd8DTeFjF17Neel1N7ukoLeAOvVAwU+3NgEb0F2qlSyY3RCbFWDMgSs619Bet6IpzQwRHbIAtvukh5ngFV72Jv5Zpt1ZkwiCZHHVOCchb8SK1nsXG+lFcFQ4jhLzHGJ9Sz8eUejneutEhT0MhrpgUQwpcTYKfBH5Qi1f+t9CZIEkuLU7XuFnoJslAVopK5oBLp5S+RIUPGs2ug6jakuwr9XwddUlxMxfpkEUXsDq/x1fRoF7jAIGBEgc/MBAiIegJysvZKt2M8EeRfSGFG0qi/HIf+y6BlC42f0ZlEHuy4hKr316nBU1C+LXm3U38AYZrJsN/MdrZubo4MejJ6klN8UMnY94I0uIGYxXsc46NGSFvd4Z5FyRl1V47H6fNeNGTDXfijRKMgNiR2FoNleabikiVqN2c2Z0Xg/hpWdd93okby2aeYKgWCtaNENGT3SXD6eOGtGW1ajhnVmxsXuAegRME/4sCSB2a0RsJ2YL9PzE9aiBGizHHUu+n708D4oPWdIwEicBWvK5z69yllklr5vaq92zSTB9TfQI9AYyw1IEkCfMta2RsR03N4/yuWcYYxB4/xo1+xU87thtizoOQ3H23iHISWUYNMlJoGX8DhjUVcCYBJiXGTfXUNu0mwJcEZiyDeuQZemONk5vcZ7hJTgjRW7O4A+Bj0uX9/IFHqlPwkhMDYnHsxhHNcFvcojxATvJH4eEK1dtNkbKJaDkL5PQsQYR75CypfX+py/yvoxwmg7DHL6vGmtG4HXLBLOkGSfbeoKKfUwZpmQRJDxCzGhriReHwRc7OTUe/Nal7TjuUTNDGx8hZj6S/wREWrrEHJC4yr5HkiavTx7E3+yxm5S1m4wL6jkJgnG9v6y9pdZwCXaukJO0olGUz69vz7LmFmO332fkaIcS2vFzxxilEyYPXpJVfu2qpCy0LNkFhlcV7WcgRzzmJZLhkZEsRBLps+eqSFlhJTQVJWmtoqtzRgzRjJcSS8xUmTB+8wsWrYTe1jM6SB/IUkcbe28ZD5lhjf2gfhLWY6L/ZAEBlA1zJAkTvbQ+A0aglR5j5zFJuWdgzVThtqV9FKW8VNcZecMamswqP3PH/DilmOZN17NFAxvLYwx18azMjNSEvi+QfFNnTeovDgugcP5+5KrT7DGjhq4dxbWmivjeEd6UTLdhr6EoRlUVpwn4u+4/HwXgsavW40SkXAya+wII3gdvSFmsUECqCpBteuGIPb5A9p0NwR4Z0EQR3bKYhMtysKN9IaMUOh5A2cIuzCIOeyAetuFoJuJKEjMsnF7Y6/VFuf8lZT/Sk8Iu36Ac8u0ZkA2xG4Q/IicFU2QaQTtua5lZmTlT/xFstYNCQ/zsL/5N3YxoPXVAiHNW3vj2hNZJinOMV5vfnkglLHyQddJ8LPtFAu4GxPHrseVBATj1FgzHp0AXLJhHaTXTZhkOzXnPIitUEJ+BPRGgttu0j80PG470SuJajfb0oDtTgA/YpqwF25qmRnn/YxeeDB6OcsROKlz8kFbyhnnu0P83fSc0Ishj5lwD8JfzBlxuDx+N80WwTMWoXSTkjNv+/6EB39O8BV2O8F6HuflDfNTNpYIXE6iurb1UZJMtn0qOv0DNXEgvUliUPMFMy52Edg8+HO7Ybj5poPPiQNt22e8GevIfubrgzSCyBZrCV2fF9gSgk5x9SAWzfbNErzoE6yhhZnmULtWlSlHuf30xZiudpzdlL2xeD+LzdN7UtR3OYLsr6jrjkoPks000VNtsxI7KzM0HXiPXryG3gOgS030AOMMmsYKVgUDZIG5H6KEAV3V3hR/kBTEdaMA3crffPiKc+hKem+GP4inf7PxYqcr/O3Tu4a/NzNfADl9bVZObIzMl8ZP6F0tsN4UPTUrHB9JdRHBecSl/jwUV14et/texevIqRw4Xiu6TjFtzF6fFYfh8PM3Z2bOm9EkgQJLWqI15q04FQ8+T3TjUbo0mSs6fuurdb2UrqFnlhjC19JT2WIMYaX0Dj1bcCYOtTctyxTsfA6leag90FsvBUsrco/EiRo8s34cj7W3JVVwgXw0ZWMdWgjMjLaxcqwf/ygU5y2zpO7O3zcPl5nTKj8fmpgMYFVZyUhZ0Fu2lDGCO1ty+Iyjp3FUHQk9c5levoIeSATgAqyHLw9+VMSxB+Uv58MLnTRxwJnr+SvVO5gZ3lR45/GzaF17Jb10xcIzJCmq9ob+LCj7h/mjw/QOLARjJEV1PPaSCvq9+RJCHhWDxjV45/FzqGwtoVrmAL0rlAhrCKtGKzCoAN5vDLHzlsU7fy9mQmn+96uUFmfFoXqT4BxCHuNZN9UGbz96Gs5ICjEd4O8qJcI7SRy41gyBooFf5m+eVbjk7zC9yhlxpF3DGwOjbAEIjza38Oz6CRhSUCUs+btKiWBMOMljBOCBuSnm0avn5j5/1ykRjRcQ/5v2hQdCGdtvzk1lXk78E/iWx38zvuW592BTHS0+dO6dPKRAiTY2CcqF42LWjqr1CHvYhyzIY/pZ8wkzV+sPbVLOkkhwhmCj0mGzSeUJTr3fz20+C9989Ch+72d+LZxxS3olp/saepxZNCTxWFwKcSIinNSbMUNuULvXxMd0c/G+itPxKnqiSZd+PESvrswY/vR5j30xvqnx+N1v//oFPWbZeAANhr+SHo9IZqT05sodEeG4kcSYgs61GCe9Oat9d6S3R4s0zA8ZUxrpFfw1taCMpcR473Nfi29qLH7nM18K0DRfUpo2ykNjR6SldxiztGOM6epjH5DFcb0anUIpS3ko/byRXkxTkcxDa4GI4IqAnvG3HzJmjEb7EJAT4eue/zr8vs1tfNYjnyNKj94sGM5K74AtWPBR5Oc8BvfikrCsbYV1JRvWECXap0Q0zYH3hxlS2CFbsCEahQ1fexIRWy8AOG7xzc99Gb7lsXfhyfXTKAUGAIx276v4KzHVN9Fb+3ZEFOs1nr4oNEKPxmvzd1/mDzDFwnaDWe6BUMYuETCEVV3jouvxyvZFfPtPfQqMjKOVfJBzEpFQ0Pj3hVpbV+rBJpzuNN6taC17x6nPvfVF+LK0xkc3j+AffOpvoZ7BsPUhI8R+TEEt1/bprdQJBgDRaBiOmTy3++YTaw2ayuNi1+MDr/4sfvrjFSL9NI7aqcYXAVfyt25qxWXNiAv++NJx/z2Pfx2+YLfFT7cNfvTOP5DCmjqzdkMatb6x6OYhelWNxBmRMpJJI7lD5gVAEk2clWD5f/ixf4j/b98i2Q9hVdnx+GrtFHa171FeNbUksCAgkaCO6ml/Qm+DLMqvffr34zMv3sAP0Sl+7t77xQyhi6SEBIozjcZQon2P8spXYDB2OSBRnoR64W+vNZXX74v46z/zP8HGFVB9GLU1yA2rs3BJozQpiCqLcJt65DhD/ZrPTwIq0+Cbn/hm3OrP8L7+5/HJi48CgG4wEhLYVoorfAU9awwq52BAOB865JQWiR6H1KZ1U2MIEQEJf+b9fxWOW/imhyUBjxmGvAiZW0bjWHUiGZzp/CLdzPbbreoxfMvJV4AJ+Dt3/xHu4fWRv5Ql9repLELK49zcp+etOIEtGZyWkNNrwuuICJu2xrYf0MVz/Oc//rdh4NCuIixkwwmRR8G8vxZq7wCSDLLTXRSl6op4t+dW78Q31J+NN5pj/N1X/g6AyZYrIYGDlANTvN1D9BrvUTJW72+lHsZNFqUbHWk5M1LIaGZxpMyTF7qtHPImaHbQVJ6FzBJExTs3wuuFmGDUmQWSulTlvsQS0WA1jvQDL34SKTyDj/DLwC3NRtPd2BoeaZB2SOkUN0vbKyhJOWcwiZZT9sGUGSkw7FTJZoxmICIctR6MDieVH7W40u1z4Barac2A9A1BMt0YWJgCEksQda30/tlHPoRTfgQ/Ty+AjknD5lh5oFFbKuEt5YhFNDkOx8QPzqpUT/RiZnBiVLORzizHbyLC7U2F+7TFrdYjxqL5LemVTa1klE30lmYOZsn0QxLbOTPjH37gA3gHrfAh/yJoTRpmpjXj1CxRNIeRHpkxw4uZxyy/8v75kS8kBilO68SzHBcNER4/rnB/e4Gjtho1tH16JWONeWmDZohWVxJ2mCWaxGSJrR5ixD/4wAfxKHm8tLordcimztDYXb5EzxmLIcVZHypgNk1YrwDGaBKbsYj9LCBJ1hg8dstj2+2wbvxYi8/aaR1IdqUd117OGSkTEkT5CGE66XEGAqQQKhFwb3uB73v5l8AA7h/vYDTSR7pjyd+cXmXtmP6ds2A5ZCTAaHZY2cNYTDPtnlttiCIsK2dx+xgIKaLxdpxrS3oShlgiWGISNLuQI2CAoZtOQpJZhpHai3ffwP+yfRWv8ksYbknq/pRVCBDzaJKam1Iq50b+YkqSgp2SQEmGy1gS++36NGCIGm+9Ue1HJoKAJAepwFt5tAdQsApGgrMFI2AuDBjWWvRdj9AnxCzhJCCgHxJ8Y7XzCKF9Ed9/7xN44gmDCgbeujGmc6HmKz1vRVsjTA6WYuTuQ0IY8hgO4gjouoR6RVoJeLKmhBCkCKGzWBcJubdDS6iVG8G956YKMoQw5NE+VY7Buz6jLZWOCQibj+B7X/wQnnvGwEHCpnrN5ikB93Mh450bhe1ET1ZJjEmPXdPRstsltF7olfdkzc33zsBbwSwGJmBzohk97xaps3MbZYxZMqO4mDPEU7yqzWgD3h79HL7/lYRnn7LwGto3ho2Varxzes4jc3mnbqoghaOUkDHMxrXvElxtR3pEUh0ZJKFMRMBRK/HVRducmxO8s6P9kFkEhCgEEqwfYwbUfprBiAPDtRaGGRkBr6z+OT54P+GpE4tKw9JKBtbI35yeteNaKevCkqROCz3ZtAAREnFguIbhzbT2dp2EkNWVAPGsm+X4FbyQEkM/nz9FC+yGoLbvDI4MWMEq5gS4zPAEZLPFB+37kTLjtjVojEdIUVLPZ/NzxEPRGPriBGQwWOntgmTRpcTIelQvSpdgmlyWLc4L/kah4+ySP2tFYwfRnmyRU1wYsoQZhgw43UC1MrKzQPJv4J+G17DeAGsy8NajV4FvaFoIE97LXl/KyhuxvsOQxwom17WbNV0WWcNJDuE7rSC63jhBeRp2o1ZbbCdkSRD8LYErETbD7FrKGduzLc53CRXkqND3hRn9f2CwA7bbhM2KQZmQY8ZF3wk9A3DSyeUI57uE2hKyE210KNesYMien/XYDgk1yzG9BKEUE0MOCeQMzi8icmKs126WlKDHZnWWGGNwvo1oKqlmXDzonOVaYuD0osOuS2gswTgDjPwpan2fASeVWm8dARwImTN22hFkNTFFQbQvehGe26GX4xlLHDAZQnSEs+2Avs9o7NyyNwmuPCQYK/yBGavWIjEj9oKfUY72ZZy3XcKqsRM9KD0CIhNOzwaEXvqAGWPEUqGX+gyyhPMu4vYRIQ8ZUbXWErMMnVeZBUN2XVts+w4Yx1eEYcgR9y8GxD7LBjKL/przxyTIYk4zg4IKS9bkmzKGKQnG6mblsO17MRfptQwAGbh/NiD1CW1rEYv9UOU9AUiKIdyFhJO1Qeoz+qTKRRLhViJVYsgYslTY2PY9gOkaM2MXA+7vArjLaBqpMjuuaBVwaRCBte0T6kpQ8jo1fRSbc5kXwyDl5Fcrhzj0i2uRE1LIOD0PQEhoWoduVoYKAIiBPIhZJCNj1RjkXqo1jN+tZgIioO/kVNK2Vk4lxYRAQAqyhk67AOoZTWMv4QWDNaa2y9iFjFVrQYmw07lX1laRM7tdAkGqCYNlPsHIOo4pod9FnG0jbMyoW4c4KAhSIajzousSfCWKWhrkO81irss4bXcJlgh1zeMaKeObYsZp3OF8SHCBUdcW4a2UYC9ea04slVEzwxKQwBjUVmktLTz31gpYTG1F1Y57MWt1bZGRQWCsaoMwZOx62SFSkknPqSwkiW3NAIZOUlmsWR7XnTVwGahJNMtQji96RKq9RUaCAbByVmw1Q0bKBogMV0nChPMiQK0OTn8Ff94ZwGbUjjDsda44qbTUEEn6ZAiMrktIWcpkN1p23loDDgzDMqn6PgH9Zf4qa2CM8Nd3Sk8lqoGk/A4xwpOUrY9RCnUmFtte3TpwEAHIMcPo0b7vpJSLIVpEJlReUrIrS+h2cc4ejFF6KaCygK2tJGMEEUB9SGhqCy5o/ZFhVLD0OYGCHNHy6Pwi1KqdVSBst7H8WfreCK7ykCJqorHsdaf1u/oho64tOCS1S7JooEk0YCIxW83xYmuNlPEG2F4sY1udFQdjSBG1IyRYDIHFYWrFh1BVBqxwhMQMk+QI3UfABK0LVrRuQ6iceOsdgO35rD9JiiNaQ8gpoSFCrARZrpMsAEF9qwwQZU4TC39pyMiE0ewzjyaoK4NSCGJ7vuTPe6HHCWg8IUKQ17qg/MUstsug4okBm4HYi/nDqDNU1ViZD07ocQa2F0vhXeqqMRitMQg+owsJva6nIWRUlQV0ozcEWGY5/R5Ye2X+eSNa6z5/YyECFnyHAIlFLpFPMQHGMCjKqcUCsCyypZi5Uj/xZ63Mv8pICv92u+SvrozEpzNjZQ2GnLELSaAMrmnXa7qUkVNENxBSliB/zqI+b3vx8tskNsh+EJQpEQJiACsZGuW5yhMSSyCnnnSQhoQ+MlKKQDbgHugSIxnZvTgDQxBbaO0JCXL6EthDQjKMQY9vMUC0DT0OVNYged2dtCPSwOgzgyNgkMBJ8rBDnICU+168mE1jEZOE3IQk/MakdmoihCFhCMU5xqi8QUwkjKlWnKIsnkwJrPztMjAgq/Yh5YIygLYWM0BIYoutvUGC2viMYKiGmWOntkAcpJ+Q5WiYEqMPABIhk6CZbXvZdOQ5xk4zyFatRQIu8VvsuX0/w1ImCYkJgcp5SzLukmbc+QxEI1oryyYt9Ay2ulmsGolV7gbltyJs++kE1A/S1yDRdBtH0k/Kbw6shQYZhoHMESlmXPRZ7G86LkV4tysn/O4UiLu1SAovTEbQw5LSEweaAYbJOZeHhJgV46EFOIqWvWMASf0QZHDRCQJWqcW100oTq8Zg1/PozOmGqYKIsYTWQ0waGq6ROqkkG3o5XeYcEQJha/II58UEnG8TDEFi2/f4jbsJGrEb8pj6bS2hyWZcd0SEqKa9MCSgJvBACFHmUtEGmQgXgygRtScwEXadJDm0jUEceFxbXdQIDWZYR8gRAgCvJ4nUAYGBOAAWGTlHDCGBaZIJmRnb7SRLmCB1/ZTfkGRtSUUI1udYCq6yle/W8U19xJCAGFW2DIwhQswpENmSMrBTR64z0r/dwCO/QSYaUsZYEYKzZFvmBEChL4U/Rs+MFK636V6Lp/uvfPfX8X44TTEhlpNBiaYpiQ0ldlxvu/RsITfP6ycAOVrY08cmSMTygsnAKCeDPNEzeqQo14qpYL7zzwjO3kNINCAevT7a20Zyeu/cHrxPb95ncz6XtJf9xEMFc/7IaL+cf/f4Fl7258gf+HC/LYjM+AMQXYe0ubegt98vjAmaDyihYdO1657b7yfsVrC74/EzDn0bM6MouTynh6W2tuQPl/qJGYj1Gbi9WNI78G2X+Nv77v15uH9tfOf5Mcyw2uMP43wa+cuY3VN+vkxv0ugP91NY3QWqfnqX/md/HmQNYSNg8W1znubr8GA/ZQadPgKTq4WTeORv3p8zema6+TJ/V6zf0hdh8xrg40Tv0nt0LRzib4+n+d8O9VNOgL3/GIy60JZ9j3EMM/MY7kVGw/302jhmI1u0GPv5GObM+K5/6y9dKXmvd6TZjHbjRntYW9nFIHSDaBDF2x3Vi1x5g24Qlb3WyqY7TZGTypt8qYfOT4F0ZtFuqtFjKFlqE72dHgPGnVor6vpKqtxOMX6EbZfgZ/HEC+HLjPsXjJ1nNGs7Hi3qPf52WiVgTq+gXG37DG9J7NYkKEly7QA9MO6/SjBbh3otzg+n6GPjfZBaXGZGL0SJGrGWsO0kLMc5OcJud2m8trebAQy8fj7AVIxKK9l6ZyYsBF10uyEpYDMAI/w1Xupx7YYkEJGGkCGngVavXaIHxt0Xgcp7eM3Gqb32BQm9zNJHIxoXCQxlyd7ZdUkgIo2mF/cJbWMnh0bZifS/d87PYVvAaVRNo0fn8m2ZhQdnS2ygmG3ayoIzsAtKDxhja9vKjot/PoaZgXsXhKapYHU+lW8t9Iqd2LvJw5+yaINZr610LMQExKL5l86giV5KjDv9XdRrgnFyrfV24dyJMWPQUvM8aoli0ooa6902FsRyFI+ZpTbY3joAJGLi9JSwamu1aRLaxownB0ASTkJY0iunh+JAkrGUxKnEUjHlEL1hyHgtM9qNGftwVc20H6hpMrPCTWIExWoqKzUHCz8Q5ztDrh1SsrqOsbtPWK2bcW217fLevk/iyJvZdI0Rc2iv2BuNztVOTzb1fn8qvdEMcUW70ZFmGBKU7sQjPe4AmGphTWGMkrjAMY/2kPItUnFBBj+osHQkzrc+ZQwDYFjCVZwjkDMaUUCjNlp5o+EwUK1QQobykOG82JLLNWcFIMMkOd7XVbFnZXRq++VWbDrOGpCnEWjcqCDyTjBiy3qImTFkRo5yzZfS1CwhYwkAZTGpNAoUhMTYhYQYCV7tSM7JYirxsKWPKj9tEsxASBlDlD7xfr6ByHExZjkODUNEo5ivSBnbLiFFWRiONR3SCn/WkDhAWDKEStwxZ6WXMyyEtyI0TZZNKbLYoIchyVGahb+LPiFnD7BEhFhrhL+s/BmChWzAC/6CVJ2QDW+CNLQELTIpHvghJKxaOzqeLrbi/EMGPIQfo+NtVUEwEMFf+MuZcdEl9FHpjUJaNeBEI2ZsSBmryqp9FjjXeE9AvPrkBBo0MeBU5bNEaGhWSzAxhl1CP8haaGo7Jp4YB1Di0WEWVUAW4XJ+HsFuyR9I7LRlz7LOoDY0bmIxixmpCxJlVFeSwQUCrBMY06AhjILQpwBAWfqzDIoXpH2wysiSQOGcrL2p1p74Kro+wVqD2pHGpxKsM0gK/FKSt+pKEndiZrGlt7JWvDUgR2OYcAEFco7gMIHuDAql2YUMawQYi2Z9ITgZGZFlPCsrsiVkMacBALGYBcjS6Fco7y9gUEXW9ING5vRJaijaJb0SaRKTyjonsmWIjO6qQqDarod2NDJZ4AiuNri/DfBk1GPNqMedWpp3hLUTY3vOjJP6GI/Uj+GT21/CbsdaoieDPSFbAI6QL/JY995ag7qxIEcw3uL+WUBdEWovYT11PWnsDKC2gtuQih3JklZ5YKQY4L2UTIEzyFYET+4mes6JdksVgRzhdBvRWDsinTXN1D3MYoP0VhanAeHR5jFUtsLL25eQIVpwHzJQEbKXhc+akgownDeCX1pZMBFOzyNWzojtiln6WlvOwNoLClOM4u03KtBCyMhRbL79kAFnASv2VA4qcAH4yqDyFqY1yJD6ZWtn4a3EUzez8UuZcVR7CdNLomE83T6HPm/x2u51ZMgGNCh/qIyE+UW1UzLga0nptq1DUGG88YJHS8CCv5gYx7drGAMMgccaedYasaE6hvFGQuCcAbxBGjI4ZLGlEVA1Vhbn2mGIGbuUsPZOspFoyV9OjJNGQsiGyKicwdvW78Abwyu4uzvT1aSx44ZANSF2jJzy6IirGyfZmCuPnTpo1itJM7WGMM/2zoFxayWnmkEdYrKoCdtdBHkSekGiWKiyiLsoY6f0mlZSnv3aYqv217ViJS9SvSEIV7dX0r9DzGi8x/Prd+Kl3S/hdNdJJV49jZIlmNpg2EVRktT33LQOxhJ863B+IRvbSu3UJfxtpEcZtxTToIxfiUMetlGcUiy+GDIEU1kM26Dp5zJ+TWNFoLUWZ7sIIqm0zCwO5HmzEbi1EXohMtZVg2dWn4EXth9BvxvgvEVUZz8MgSqDeBFlo2HZvJvWggzBNQ6nZwKG01ayFqp6yZ8jwupohoTnaFTGuhThGpnjrFUryMtGE+LNBR0eAGVssgIctW6y9eiQzwOBC1C11Un4De3n4Tff/Tj+zOZJAK8AANrKYl3X6EMQxHVD2LQWPAYxM0AysY43M3q0pEcAqkp3RTt9TzEjFRCPtrE4WjXYdgNiSggDcLR2SGc04jKVyXK8mugR79EjoCq7oiUYsviD5nms4oA/6+7CrCSbpamkaOZF3yGljGAYx63D/fPZoJIcY06OlB4B85RKALAWKFGBC0Bu1XJPlL+msThetzjb7pCjJHUcbRyGkZ4cy6whnKz8SJ/2xm4Owl05wtod44/uGry6eRv+0vBjOFHQ+pXyd9rtkJGRAuG4tbh3HzPjtpyCbh2bhRVpkak0k1B1teRPgNGF3rp1WLcNzrY7WF3ERwboupHUaD6RzUvNM3v8zTOmak94qnkef+yNe/ipJz4f3xt/dMw4sq3Hqqpw1nUgL0d2UwOnE2sAidbeaDLEuCLm9GY81bPNBiybT1Nrv2+kmOv5rgd5g2wAA4sxkVEfa0bP/MTzobUnP1t8zubd+IMvfxjve+bz8eP5J6Z+V5jC7TDAWwNHDJuAUg+5vHvVWqE3ffmS3oyn+fixPjt9i9Qu2/UCp+gswTBjN2OOSDBKqJiRxr8veRr71hPes/kCfNXLH8BffuKz8FH+hfFayRDrYwQbgqstTJhCREsy1XptRyF6HX/zdV/unQP2rJoKISYMIYItYbOyoLcSp1t2pDKJb0KgcgojNMQIbxz+7ic/gR/PT+Gl+M9RN1Ng/W4YpswPS1L2HGJeKEdDMSvQ1cQwBbYPISkIuWSeie1p6sSLbir/YVTbHuEQ1OwopYKup1dZSRQYktiL/9pLZ6ipwulmh8rP6PXdBOBtxGaWQbqfzLKwbuCvVp5CzGhrj20fUHuHoR/GstWAAMaPY2WE/2ICLaaEm/oSAGrnMaSImDL61OM7X29xfu8VDJu8KMtdoO+ICDBACFjSw2Qbu641lUc/BLUHepxvB6yaCl03qO1fTEgXRcJq3H1IOjeZQTonH6RyQ+M8uhiQMuPVi1fxneefg092H0XY5NHenbLEawp/Qi9y4U/oEQ5j9x7irxsCcgaayuF8O6BtKsQwjM/HlLEtWJoGQAJCntHT+XLT2iMAlfPoo4Cd//zrH8df6T8Xv/Dih4DVlGAQFa8ZkLmSMyPMJE8B97mJv5J40Q0BBDFF7XrBwE565AZK5ipN9NS+XNLCiqnyJv5Kscs+BBgy+JFPfRSfHD4HH7jzM6haHud3H+NoZyUNOSvw8SWTE8BBrOd5K6XchxAFixks8eEMgPJIr+vD5Pyz4heJv2KaLrSgnArgzHwJhHvEs2VZkLv1Hfyz1z6Fp27J7C0FHucIUpJyK/9qYNzpmMUgb4zGPjLGI0xpYy0kyKDU3mMIWcGw81gVdB6HWt5bUl7LfMvMYl+0NHowi6ApraRuAjI5X6k/hq5n3HZKTwtK7iNkCZDGtFtKSjLrt4p5hAijoJmeK0Hdgm5We4+UGM450BX8AVJmPucZfi9BAdjlmZINtz/x+lllYu8YP48PoPGE1joQ5UvjVwRtN6TpG/R/KU22+6g2/v2F3M3qWjlrhb8IHT+e6M3fzeJ040mRF+eUIpl5te85e7mETikkCAaaNuOfvvzTeOzIwJs9eov5KQ45AJjvyVGxdgs9rzbPQ/xJf1pUOn7WWBBpLHqeIaqxYiJ3CaiWBEMUnGRvjGIdLEG/WcdPnFyEZt3hB1/5CTxzIoD783U7z94SDObLNshBzQBWBUmpYVhaKV5QmndWNl/d4Eu1lWILF2oS8tf1GfB79GIpNipjWe8B7i+L1RJoc4offOEn8NwtUfRK5eD9o31SH4sbv0Jar9i+Us2Cxxjf6bmspbxkvVbeYpfUDkOH5wpYnKTz+nWH2rXivjilGGIHMyQfWCbbfqud9KQxhJgjnA94+ukMY8TbdwiEm5M4PGq3TOcb1AERothpFvCI+m21VqYoefAhBYASjMkaTXGInng9RaBiFLAiAMUmW+y9CyAUIlR2otfHgPUm4ZFH80TvIH88wi2Kw0rsrb16une9PLvPn51VpnCW0A0DMktCgzUy+Pv8lcydtdoC5/SGWOhJzOO+QHLGjNi9zkr1gMceY6w3Sg8Hxk+92GstTEmFHkt/emdGIOl9geSdHfFKJTqjByiDKcIqXNNlevK/TTt58ksWWUgZ3hpcdFEE4N70rOyEEGct4WLo8exzQFUn0BX0iq1zU6laVugxtIKIZl56cwmprPZuFJnWymmLTAZI6BWn2T5/hoBNcYrq+ksswsqSZCZWMydSaY2uveIM2sUBzz/PsC6BiDV8bkmPswi5tV+mt6bEYxbfblcqquzRqyZ6IAG/MVbmJ9G+cNd3q69gPbO1MwrUpfzeDfmS8gFgRAKT01ZGxIDn38YgM6O39wxr/G07yiq5I0Qenxmuoqf8GSIkTuiHILSulWWyWTQH3jdvD4AyJp0y5Iyj1qH2DpUiB10MS0T3oiktngcudca8leN3iSgh0nARJmwqg6PKw2lple0MQZ4Zi522/O0meiDSMhyTeaEPGWyB2gO31406Rgy2M4T8zLzQdB+UPybSMulmNC90fZJjKgGP3mpB4EWJbGDaaZf8zTTMg6xpxlCxiym9XZ/gNBPr8eMVxNgxlZAGrtgwcD090ATOM/Un4WKbxCFKwJOPrpHBagaaVVA9UMnhJv7KXCzJBHL8NjjfRawKvZO1alR5URZ8f+zm9K4kZyZ6VOiRwdl5xEZtgk89tgGDEWJcbIL7c/NB6IFUIJSUMr39fJdwtHIgEJ661cj7Y1ws/C5erhxxA7XRqTg3BTEDFxcJx+pvONlImFXXL6tPz08p82evpWcIQ5+XGjoztl3GydqBYHBr1cAQYRuGRX/Nqws/MH9GZMlEjzS0T/gz5FBXIsu2Xb943z5/N9ECoKa2q1HNZrdd05SS1RhdAR9hxJwwpCi1oA48RmpKuK41doXHm6cFOyAzhsSyyFULa5qi7jNSTgjxanoFCetdr1zgGz90B8/e6UBXpOKRES1sBFUncYyV4wxzRtQFexUPhm5G6D/yt3BSPSre+ZinEtZ6rK8rOa7lrPRiurJmlzUGhoHf9sIpfs8vvobH3hiunOFGM5/mqa8lNMwY2bVTzog5XVmV4kGqVTxSP4mV24iTRMvMFC9PU5vR2xtzQtIabVfx56yBi4z3fuwuvuKjb+Dk/hVxjiT8bTWjrmwurYYDFnpzFK7D/N1cLObJ5jl4W4MMsA1LeqtGImGMkZThEJMeja/iz6LuM77mw6/hi37pHtYXh0OKiCTsatelabsjYFWLZm+MILyFlMShegWG4HW15gBZn0+1z8MYCxAmLASIoBInmtCLKY2Ie1f5BZy1ODkP+IYP3cHnvnCGuj98vC4+gd0MC5dIgOmFNkbZYnD1GrtpfjryeLJ5m9iQIWnjwrfMn7YtTjIxSQ0xqgnmMj2CRNQ8/UaP3/cLr+CdL23hrnCUkaHRnHFdeyDzwvw4mphHreioabCq6rETxioAqmlc1Zwx+IL15+D3H78XjqcKuwSxpxpDC8dG0SCONy2auhond6EnkG0ZX3J+F1/yVXfwdf/sdVTDJJScnQHAlHRKxmheKIU0AdH4ChzdSbtC4/04uRf0rtnWK+vwlZsvxNdsfgdIUy+LQOLMcG46bsck9lBjCLc2K9SVH6uQlkmQcoYbMr6seg3v/R2v4Kv+yd1lf5ZFxhjTj4tjjbPwX+IRw0wgnbQr1M5NcJH6vptqzbWuwTcfvQdfuHq3BMmXNDo9fvuZvTFEpWctbm1WqLzDHBJT+iDj6Dziy5+5g6/4jDv4op88XdBb8KcmFDXkgzOW9BSi0VuLk3aFysoxf76ACwrYoUYAjqpj/OGTr8A767cL2dId6l33fqq2EMbCng4nm3Y0CS3opYSnXu3xZb/1Dr66fhW/+UMXEz2a5l6Zm9OGqfRmpi7hj1F7j6O2HQsm7tO7qhkiPNE8iT96/JV43D8hdt45yDfz6KRlxrihtHWFo9WMP7Ok966Xt3jPl9/B173+Kp75VL+gV9arVOHGBCqu9vjRScs8nk5WdY113Rzm75r5acngHau341tPvhIr2qhMmWzKxZRHekorfbVpa6ybepxrI5g/pADrF7x6it/1tXfwez/wKo5Pp/61ZpoLXE7s1y+fm8v17AYBcNjfBZiBsy6DyIHZ4ahpYcmPtpd1XV9ZQZMZ+MVPBLz4usH5VjKfSlzedhcPl9phwul5gjUeYIujVQtn/WjX3axafM8bFh/7Cxv8yaMeF3bpDJm/sakFpYkhxeQOmNaQGTjdRThTAbA4qlt4W408HTXtlTtxTIyPvJTwsU+Jw64tNl0GLraX6RWHxv0zoWcgYVKNr8YF6Y8avO+DDj/7N9b4zx5fHoXmxzAGsGrsmGl23h045gJImXDaJVhTwZBDW9VoqwaWZIM6btorYzm2u4RPvkb48CckbGFd2REW8/xQNg4DKQJnF0LPWYfGV1i1zXhquDhp8IM/XOOH/5caf+6xpdlq5E83knVrQWZKeLhMjhGT2D+NqeCdh7cVNrXwZMngqGmu4A54/W7Aq6ceH3lhgJRAkj4piQT7w85ghABsO4ahCnVVwVmPo5WUQHLW4JduV/ipv93ib/2MxfeehOXTs8E0RMIfZB5thzTbDkt/AEME+sAgeLS+giWPo1p48tZiXdUHeWMAn3y5xxvbCi98aoAxwh8gzrquzwfoMbpeeAR7rJoaBg6bVuhV3uH9a4cP/6UN/uwdxk+v0qXnS7N2qiE2RMkE3JctmRm7ISNnA2aHTV3DkMO6Fp4a70cb9mX+GB99ocdr5x6vviEQka2Gm3V9Poh3ywyc7xiABWcJMTVwWNWiEK7qCj/ABi98xxH+Ew540ecFvfla9M4ssMcPteuxF/7m7+HjY4/1yqFdVwAIQwxjNAEgQeiZGc6YUZgw8rjDlZ3LqfpuSUpY9xcNducV2vUbghx1BvCdx3F8q8F67VGvKhiihQcYECcBZ8HMTEmOQJnFbnN+t8Ppi/fRvu0Yj95a6ZHIoB+CJmYkxF1EP2RcdFt0m5dxcuKxXntUtWh8XdyjR9Kx1pgxzTlxFuFkaNwp5ztyFyJ29zeSxtucIsSM7V0Lc+9xnNyusdlUsGpLmvNXQloYkkgyDAzvDVJOMIZw71Pn2N3bYvX8CR49Xo2ng0FNLzEmBOXvrL+PdPI6To48Nkc1jBNw8HmEQtE2GQxnrKBoeYHeLNpJObHUzo3a/RATLl4/AZstKr/DEDO2r9bw3SM4OalwdNwAVoTpGIGxT89a9IM4aVKW+fLax+8hhoTNc0e4vWlHZ0yxwceQMOwihiHjfngN5vY5jtcex8c12Ej/FdttoSejKBpJHyZ63tqF97l2TjK0WALcz1+9DdvcgzU9hsDYvrRGS7dwdORxfKsdqx+PETRzeuoT6IepPwHCqx9+Dagtjp86wvGqVifS9HwcIoYuYegT7vHLqG8POFo5HJ00o1085qkScokQIIIAaccMZ0XIOWsFmB0lnEwTC1JCCISz126hXr8OZunP7sXb2NQbbDYOm5N21PDSPj0umCAzehBgp1c/9BrcIw1uPb5BW3v1z0iIV8oZqU/o+4S+izh1L2J1m7FuHTbHjW6UScd8Tq+Eg5V5IkfUeZGCAgxf1m/oPS7e2KA5eg0pZfRdRnjpMRxvVlivPVZHDQAeT2Fz2ZI1ixJMijMhc7PbBbz+kdfRPH2E24+s1Vkr69dZzVDrIvohYbeN+Avf9uevtD9ej71AkvnCzOhC2As2dwhJIuBKeZK5zJcjf5q9S54tQm1zHFCtdohbYTREhidJa8x7ThcC4L1DiFHDWIzUdaIJsCVnxuqkxurkCRkII/f0KtQWoW2JJcuLJNlJYm/n9MS8EXTSlvAQIjGvALI45zXDDRnELPY2IuDk0R2GEBG34ihMWQS2hMRk5AgETJPGlOoFSi+mDGOBpEfhnBnHT65x/OR6fGZIU6jWXMAELVxoSNJTQ4oC9jynZ+R7GdBQtwRrJ1jJffOQIYF0LADPt544wxAS0k4ckWWyGiOA3Ian3X4uwBnQULdCL4/z5ZHnTyZ6xmAYBlnkav6A/tz3UgFEqpWIU2leAsYaMelkPefZBX/yt7B3BDdksIviyHSWcOupu4hDQugJ3TDBfBojTpa5s8RZizwT4MbM+StrgvH4ux4dx2juOJX+4ZG/rs9AJd9BJE6kOb3K2bE6Rvl22Zin9bDgj2TD3Sn4f10R3FNvIPYZYZhCxqweu7thb617hxjj6HOhA/SMJTz5OY8r/7RQmMZimSofuj4Dbsqq68JwhWyZVdHgVKwtwMwMIezpd6tsWa0yfH0XcQekJPPTQkx6DEY3DJf4G2WLnhBzCV2Bhsc2Dk+/+8lxftCcP6LxXma81ZAxxVXYk9mZGXfP+3HQ9wXuoTY6AGa/AwosAc2lNnTwg2Jm3L0/0SuL97o2hKU3uWgkOYrw807y9XXjXNJLGfcuhgW9m1ofw+K+wl+KjMqQCFylt9+fQ0g4PV9GLtzUJOh+6oWotr6omKilVt1ovJ4/GxLOuoneTTZcANjNvMlcnmGJxW2d2LWck1W4f3zbdhEXM2ze60qyj/T6YdR4Skkb6IRe1Wb0M+wXpgSAiy6OgvLN8FdasdlzlnjctR5PnT9M7+x8QD+LdU038MfK33h/EdjK37rRBAxrpkiUWbt3MUi68uz5a+kxL/iLun44iwJSQsacXSLolWfvnfaLat430cuZF97/UZtXKNB1IxlJhwpKssqWnKe5dp3/pHzPPHIqzOhlZrQaYnclvfv9SOMmf43wky9F4rD6lcC4MWTs2qs5KyiHfsO218JywCLW7q00Y0kDk2WyFhAQZsZWC9kZAtarX3l6MTISq82XBTBEjjOSc37Im/lmm3WkcY6SKVZCunIW/qQMiKA6vdVGKviqSiZ1P2amiaZd+POWbpwYD0hQ0Ms0jrPvpUxOifUsQCOVp2Wq7y+bniSQOD/xV9SfmPKosdWeLsU9/7LIGQVZ0pjurlN7oArHUg26acwIdPPWCAJ1bcYoj07LDoEl4qZUiV7Vl+OQf1nkSGLkjfo3+lnUQadYygCwai/HIf+y6Bmp1FzSb+de/t2Qxs143VyOC/5l09OkjpL8NNLbpdF3tF7dlIv64PTq2twYMnY94A0VhzGh8R4xDZLZMusRQzTax2pfjc6l874bM2Cu/VAqiD+kIVRyvK8rjxAv07PGqHmB0VR+DCs733Ug0I30xOMt2pg1okU3ZFA5K8kVWNJzpqDfA42fIi0u+m70gF7P4BTdZa2AybTWwHqLeIBe8Q4DU1XazBkXu3708D4IPYIc34bEWBkHtrhkigCAylrBFyAZY3GyJWz1CHYdPZUHoyYmdegY6yOHCD5MzzutBC0Vl5lFE+r6YdFXV/ImLwRG/jI2rsHAEaWk7SKH3nkNj7NitwUQYpxs29f35hgFAojpawgZmxOPLsRRo53TayqPEJNmoDmNJw/j8fW6ViIGCvCvNZIctPEVGMP4rQt63iOkBG8lfh4QrX1ufriyGQLHKa60ILsdVRVSHhYRNPv8Vd6PEUbbblDb781rPYm9qJBHzMJfyr0m2Ez0CECt/NXOj1FSF0N/MNnjMn9AjtBUf3lvzsCmrhBjf0m2ENGYet9U1QhZe77r1ORwA3+GxjI/N3zWNS8hUgg1AZDw7rL2l1mutb5C1uOKUUO3t9dnGTNLjaE+SAE5Q6KFMsSmW/nL9FIW1b6tK6Qs2mopiDcJrMMtZynN0/dphI0URDGJy91PawYwxuw2vtKqDuLkMsZcGZ0x0ZtVjsgShF77UmQxHeQvxISUMmrvx2qwpYz1TfylxIhBSvHkLEKwdgYhJ2TOB8dvULNE5bxkWiWGtw6WzI3xkCnPKkew5OvXnjDoccsf0KbLsczbOYKThTHm2vjZUoUjxoxhRq+yBn0qhTwv0+tjUKeu1Q2Fx2y462LJi7Ye4lRc1HsB1RH/xmF8gm4IsNaAaIJOrJyDNXZZSPUgf+JdL/xVvtRCkyiDQ893IcBbC4I4shOLTbQoCzfSixlBsa+rSlKnd8MAdyCLsPAnm4koSMxiY54XwLy6P6Uvg54QKm/gjGQ/yppavoGVv8Z5ZFY0QdAI2nNdy6x110LWisfQ2HhJ9PD+AD0Ws0iRLVI1XOndsPZElknVmbdcmHL+QddJ8LN+qhm/G80r1+NKAhKyZSxhiEBDwM26h9Lb7iZ6aq662VaoIT9GIPwe9MTEAM66iV6n/N1oSwOw1SNvzAaHg3gut8yM892M3vBg9DKzlKDJmjZaPuKGs1PijPP+AH83DF/KjE5xU3NRr3EzvZgyYpqNn0aI3TRbYmIVSpJBCOCBpsu+P+FBW0gCzrKb18J7AHqysVwPZH2oFYfkdiflgR60SbbW5Yytm58TG+RF/+BrAVjao99M2+3EGbYbsSUerO1nvj5II4hssUaKLcwDzBh8KSxu3s53kyzDmyBdUt774fp1em1fl6PV/jyTXOnDs++mTLT991snYOeNVlEgc5lgjFcfXW5CJ9qnZ5xBXVvRqFmOHvuvjukaem+SP6MA1t5NacCLuFq+vmTzm+WPDGG9cupEA8hiUZNHCvRdn7jywPQg4UOblRvtdG+Wv6uy1K5qRITNxomNkRlkl+Mn/F0tGd/M/NTzNY7XXm0pPNWjmtE7FFdeHn8z9ESpIRwfeREJZSObvT7rhnrV8zdlSs5bOT4fryeciEsn2cy4hBFRnt8zB1zXGILwV8bvqpby1WYDQ9eJyj16PEWbrFuhd+jp9CslyyDg5s5NGW9XtQd66/6nMrOiAvHiH7DMHJlfO7QQGIzWW1Ruglw7pJnlLEDJEq5k8bbNk7hdnyg9s6BVfj6cYCGJA+JkKTEel/lNeqw/zN9lepmvXgjrysLb2XDz5cEvGhwzwxmPzzx+BmuvoWHmAL0rFh6RJA4swGwO9GfUY/OD8peuWHgGkqJqzZK//RbVLMDMqGyNdx4/h9o2So8u00tX0NMUVbvH3/78DCmPisH8vXQVvXx44VkjZWSMGc26lxqrk6ss3pVb4R3Hz8KbCpgJpTm9q5QWpw7Vaa0fFjFDFI34EH+H6R1WIopD9Tq/DzNG8xgYOKmP8bbNU7CksABlGc3pHVKSWByqTX2T2QPjWjgkW/b5u0qJYExAWnT1UteiukKPQHhi9SieWj0GQ2bclC7RO6REsCRdHQIH2m8PlAa8P/brajUGW/eKY1BOvvPdaO6dPKTQWEMjsIcUoDvsuPEzb/Tj9XP45ttvw+/7jN+NxrULu8xcrT+0STlHU+VHnlL29jvpuF6P9PooJTjKVy3ozXO6D3T0GNKUZdBAuBRyRGrHLvTedfJb8ftWa3ztZ349CEvNZQjFMXUNvTJJyylFnZRzeifNZqw9FeIyV3xMf9RrUN4OTSSnMJglrZOU3iXnRC2whzkDv/Opr8Q31Qbvff6rlZ4MVFb7vPztMj0iqdoBVnosBPf705DBcb0eS9nHvVz40p9ptnEd6ksigqMHoDd65MUc89Wf8fX4prbB5z352xdCPsZpjRxaC5IOrH0/wwXZX3/eOmxqAaGR+G/J7CrvGNOT01SU85AtWBKV9ugBl9afMRijfZA9vvH5r8G33Hoaz5+8Y4yPBYpSpPQO2IIXZb2uOWm1rkZbie1hiFILLaaJv9KGOJctl+lZQ1DwuDEN+JDYdZZGlLHGnOBffvoL8S8/9fm43Tw6njyApWw5zB9m9K5kT2hed5GBS8ebdx19Lr7aPI1PrW7j7738twA/2a6GmDHEAU5DNAoa//4RpPWVZJER4dTu9B49TR1Y3dYYNHWFbdfjl+5/FN/+0ieQ6Mdw1MpELZi7dXWY3qoRJxgYiCaqSlCO48vj6Rc++hX44h74wPoE/+jlvyuQk9q6Ic0mAMZr+/TWVT3iwEaTpnv0+L0/9s5ZVM5h2/V4/4v/DP+0qxHNz2HTWEmkYNainnSYXiP0YkxIJS1Wx62Uhy+T56ue+mZ8zvk9/FiV8ZOv//BC6y8hgaW2WdkI9j3Kq6qWEByOSDSMUosxmRfm2nzt5XjeDwHf88HvwfeGFbL/MFpnpY/m5VD26RFhVVdgZux4QArpEspY6U9LDt/41O/HU9s38APpRXzk7Oekf/WbtkMe6+rNy8/sR+OUVPZtHJBjXtKjy7GzbV1pLGrCX/zJvwaXVzD1B+GNQdsIvuq8+sd+NE7lJRvyPOyQk47ZCJg9/X/tjvAtj349mtTj7579OO50L+k7JAJo2wesaiswnlfw54yUazJkcNbvZF1co+oSEdZtha4PCDzgv/7x74blCnUbpC5cbRFiHufmPr250/K0i1pn8TC9J5pn8U3rL8TONfg7r70PwNl4rYQE1t4gJMHy3qcFSGYhINmwpybt+aIObz6btsa263E6vIE/9f7vAwCsVwKl6StCinylbJEIHMmQva+x6DdpujeEF+jROWIsL/KRO6/A9A1e4E8h3ZJ00WKDGQuvkhyh56Am3rox6yvkBANC0HrVIcr/C8hxChm2muwizAKdBwDrxiFjQC35h+MRpxytSqeUtF8AY0WJnCWTKcVpIBJLBIXVTv3pX/oYuvwEfoFfAt0SzanwVzKEylFzDtwyT3keUgRB0oUZUxYboEd1TWAY+cs8IjmdrD3u0w4njdfvLMeqSZMpPJdjVYgSz5kV61WEnoxfZAYnRqUozv/4gz+PO3SMn7evgDYT0EiJ3wVhAbhTsBEYU1LKmNiCvOBtNCMlxjwQYaxUQIRHj2vcv7jArbYacU3tTNiWbLmS4cU8ZR+V99NID4ILklnB4DN+4Oc+gGdNjY/Vd2DaaTOQ1Fj5vWh4hZ41UzZgSbWV50RAGx1wZtEgTeaFdjUHLXr8VoXT3RZHjdeTAo+aUaHnrB0BuUviRwLANGG9gkrhVSmeSgAu+h7f9/O/iJYMXtucwXgzS0qS8WMWYUEzHv2CngDqJ8icCYlRwMpknSm9meAIMaGkpj96YtENA9rKqQlPi53O6FXOjunfOUtsc44JMALtOG7SGRiQ0eqB+9XTU3z/p17EBWdsTwZYN609Q4JLDGBJDxKt0St/MUuKfkgRMMDQT/xlZuTAsPXS5jrEqOYIi+MjyYTzxo7ryJiZLCOlp/zFlDQFO43QlTfZuW9MAx4Cw3poJVkg1Xfwg/dfxu1bhAYEbyv0IYDBi+w1UbAYzroxnW88urCgTvVDjzAkRA3PMJAUT9/YsdpAzqK6bzvJcfbeYVUd1t+ZJRxIEjgmU0UxqvdDQuhFUCRFBOr6hHplNYQMCOuP430vfRTPPGXgIWFhBctz/xgjNko3CpX5rkpEWjtJcteLjXLXJbRrM9JjBjIYOSQ4Z+CcxaYRTasE3NOMnvduFLYTPVGFYkwYBoH9y1lq1XVdRuvNiF/QH/8C3vdiwrPPWOHPmHHCulE4zPvzAH80OchCYICn/PWuS1jVdgEtmYLiUziJsT5qK/1dCJnZoveVlxTvGT0iQkoSJRHV414sKP2Q4RpdnJxwb/Mz+NBrCU8fW1RGwpiK0C7a39z05K3VeSKwnkUwhiTB+jHyiNyWGYh9gmssjP5uCOj6CGOkugAzcKTjt8+f/M1OYpKnTacPEVEjQZBYM7GAGDJcZngDZOrx8foncbHLeNxa1Dr3yvi4GX/i/yB4swQoh24yXZQikTFK9W5Abc1guCRVj5drjxRcirHSIo7OLemVGPoygWQzF3q7fkAYJDQ0B0lzDuX0mRjOAsmd4qf5x+EccGIMnPUiELWfnL63yBZB+DI6dkW2iHN2Fwo9CaMEJKFF0u2F3j5/3rs98PU9/txeX0JlixM83tBrReK3GjKWdefkyGArYR9tnWHJIQepB0aqAXKULZks4WKX4A2BK/nbUI7lVhbQdtjhfEioEqOqzBj6PTKjdtTtRUSMjPXGSZLAsJOFqEkOzBIhcH4RUXuDHOQ4OMyuJU44P+2x7SJqkvjAXT+adkEEec4JAPfJhoFEQq+TpASysjOzxtuedwmNM8hmuHQtZcLptsduSGhI0o1LgFRB5M8hAc7g4lyOXOuVQ0bGrtTnKvZZtZFe7KTs+XbIgjPAqkUYQmSSVNQuofFq/B+myUEE5D7DOML5LuLWMcBBAtVjycKb2ROZgO2QsaoMtn0/lQDXE0LMCacXA0Kf0XizsGEVemmQnf98m2BJnAyRGWGI0k/qnSqpmrs+Y72y2A4dYGTT4iRzJzBw/2xA7BPa2iLNJnURzLnL+t0Jt44IuZfsRlaeyAhWLSfZ4LuUsWmsAOPPrmUwkCLubwekLqOtzbhoyyIjENIgsdCnXUblxPTTF2g//e5iaomD+AXWa4dt3y+uMQO7CNw/H8B9QtNahJwWJigCkFSAhJhxtDJIfUYXw/jdYB7xJ4ZB8JtXrUXsBXuZNJol5oRkMk67AHSMprEj3qwwCJBqhCFkbHspD09GcHfn666Au0tcOKNdOYQ+TmYtAlJMuOgTTrcRFBKa1k34vcV8kkUpGYYEYxhNZZH6jN0gc6+srTKGu07iipvGApykv/VaDAn9LuJsiLA9o24sUj+BCgGQTY2BbhclmWctWvvF0I/rIOtYkiFstbpx3fC4RsoYppRwehFwvotwOaNuLMIB5Lt5u1bolvAN1iNIThL7mUAY9MXWEFJfelB+99agJhLw7jjrYAB1ZZGRQMxYOYPAGbshI2bAJkmT5cQgq0cBAjIxht0EOjKPTHCO4LJB7QhhkGq/88la1xYZgk60qi3CkNF3EssaI8NVUi7bOUIeGFa1qL6TOt/FIVOatwbIEP76mf0Ushhrb6SYHQErbxAiowsJiSUNuPEOOWZYZ8AhQw6IjL4TW7M1S/4qLQVTW9Jvmpohkg0rBngDmEYExBDkaJ5CRt1asKLZc2CYPOOPFCVudA6RRpIQKiJ0uyV/hgiVMxhSRGUIthKtoddCn30vi4oLWn9iGBYMg75LIBLQINGCNWVXzTqVJWwv4sLqJnZloVdbqewaIqMbBIykD1lC/4aSniv8ZTD6lEBBjoRz/monf/OQDX0+WZwRbNuQImoipMpgUP6g/FWVBaspiJhhOCNHQp8AY+RUM0YT6PgYEmCl7fkylrbUVcsponGECIMhKH8eIyoagqCUEQMmiwDOwFQ/sGT+abJPiRLcXsSF8BZkLNnMGjKIPqOPGV2aSkjVlRk1bQJgdWNOanYqGBFQ+pWXlGTOl/kT3sUs03pCgEHXJ3FsevEBVd4AqmAZECwzQpcQy1rIgBxtlJ4z8CSZeuP4FdkyFiJgrIxBcBldSOhzBrGCXBkxR+UsssWCMXQy7/ZlS5l/lZYN2+evriwyAWDGqjIYArDrJiiDq9r1mm42yD2hjyKYAChIBrDLYswulUX6oEAyFgiWAb2vaLgF3DqrJ7hocKln9JmRgoFBRk4Buz4hRrU3ZhEiMYsx20QJ6RqCOAu8M+j1+BZDFg+/rD/UjhCzGekTCCkkdIGROAHZgAZCn4FkZGPhTAiB0TGjrSTdOGSxfdXOCISguimHIH8vzo7ayYkA0F2VCSkwhghwJGQk5CjlSdxM2+k6wdhtW4vEWPAb42Q77oeEoNoGWARWiDO7bJYso27IYJvB2QAdoWOZXGIZMOj6LOF6tUHMMnZJ+e2DzGIioB8kTbNIwsbRrJ+K1ijVgEV7SEghY0sWxJPDZLcVe+lqJXb4Bb9beXcpYxQVX5WI0FSEoZxqwMgamjX0GdwwEA2Y5RRh9DuJpA4cQbRrZmDXizBct2ZM/AARukEWH0MWdOsJgWc2wADEDMQeIBakqxQStp2TyiQyDDjfStB/ic+c8xu3kzbe9VlThyXbS75vZkJR7OqhT4ADOBqkROiAMdaaYLAdEixJdiMD2Hayma0bgy7wGAnUBeWP1fRQAUPpJwOkTlIqUgddexFDLzXIoMdsBmG7lSSDWjE9tjN+g2ZfM6S+GaspxjmDlE3JzJYTWR9lLYUEZAICISag5yITAAZhF7JugFppos8wJBU7uij85Qz0KqwFyF4E0bgBkfA1AMgdwRIj54h+ADKkECmrWXPoxZFb6HWd8lvL+iohqCUKptDLbMfTChkIdGUU7f66di2e7h/5jm/jYo+aTIejwU+dN7rRcAn1ofFaObrrRrW4NkoqfWfmgFi9CmPKLjuqj0qv/E/th8poiQoo1wpiK5ReYa+QLo2Dhe8ex3rtwQpsQlmPaJqTnhNjGzJyEm2/aS3qxgJJrkWI4Etql64bq+FFDFLvKkdxHNw/PUPXvD7iWcy/e/q2Kcxn3p/l2qIP9/jb7yf0NXx6FOvGIBPpd6tDS9HAQp+xVS2KU8aqsagayTYICp9Y6XGJGeM1OYlM/cSZcffiHkJzf3SEH/62GX9Qf8p8Po3PzTpmxtO8n7DdoLa3BLiHpO+R1RxjCSA5jW27NPK7qgx8bcZrRIBvLIY+gTLkmqHRxlmei33GG/1r4GY7aeIHv+0Af6ClP4NKdMf82l4/ZQad30LTHqHSGO9Kgb9Znc5kxX7e7RJIIz9WCl4DK/w5A1hvRCGCmNpIwybnYzicBdzlO0A1zE4ay28jwoi8Jpvb3hqdMbHI+Nqbl+WkY08fw+poBWNE87PeiCkhsWwwlrDrspyoDcF5g1WtKH2a9VUpxGIfWU5o++uOhN/d/R7313cAnxcnqbKWZlaOBb8lD2aSKLNnZ9cwm7NEEkny1//g9xGuaNcD3sBgta5G20bb2MVXdboYpdQSISbZoaraotNJXVdah2mXYK0ctxbSTxk/O9/hAoz2tmhDxkpdthJzSoakFLYeM8ReJBV8K2+wGxIMtIw5EXZdEk3YT5puiThgZpy9DvBWcuQlW0y9zGUxGYFqO165cUS2XcL2QsObiNBo2Wbj5UgWBhHCuy6jKTgHWmE4Z4LzjOrEgVjMFJU3Mpj6bdshQ82ngJHS17UeQbc6yZwhMAG7Po3XRkGl/cQA7n+SYIIBkdMJSWNMrHSEaKK3Nn7qk/OImFk2ICNjJeBDRrTvIP3Zh4TWWXmPYeyGIpQBt7Eglrpszgl6U6lIXDSYot3FnEdU/11IaLyF0cnfBXEAEiaeMNMu732MYLKBtaV2n9j0xN1cwK+B2ycTf/dPA0IWPFljrMZnKn99RkoEC0IIoiUDBCbWOFhGvSJYRYNrvJ1tiqoJxQznzKhtJQZWlRmvtbX0TakJuKo0/EyjRaZkDeD+LxIMGzh19Bmog8rKJpNZtK32xAuwSwZOz4IgummNOqdCtakYfZcFTSzJEbpyMtdzZgxJgkybIwPj5e+rEu6pu2gIGUMS/sSfILb/VWXHmoNFPgxBzB9tZS+tO7A45y/uE4gNKj39SvaXzCeQ9F1bW6xrCTeMmXF+keCd8Fd7C0vySGOAoRdTRYrSTc7Kuk0JCMrf6khL0ROhrZeyrA9io5/bdI3Kr36Qk0tTlQoUM9l2SUHQNO5r2o2ONAMWO6aTozYRjd5YrzvrGPTcy3GbhyTpvbNsEOdoDHSWuEUB1+CU0QcphYwGsEzwtZHQLg3DMcpbsYGV0NMdGIHF++qswBqWa9YTEgOUebQdWSLkkNGrgKyM2DBNLfxtLyKqWgRLToxm5YqrFDmxBomXOmACPG4MIYUMHgRDok+M7AxyESBbQeZndXX7THCKJxo1HtY40QqrWZ9xWZzMsPnyNWsJSbfbPiS0GsCeQ8YuZKTk9RmCbR2ykWNhXQs0IjPQNFBBRUgxY6WYxsyqORgR1CEksDoEh8zI3oJ1QXEQABNWR07FBKNZXElDuUb+eOIhZ1kovUbFVOMGIlLXkIS7ERGGIWFVWTCJJLvYJXCu4CoBTLErh8jiQKo9weg8aAt+gW5gGzfB7nm17RprJOIDIqACM5I3QGORQ0YO4giDAciJrZu8ER+HKGSiBBhCrUdi0rl70SV0ScxudWXHDCebZV5GFVwxZKw08iFnxsV5HNeXswTTOgxRwinrSopGOkfwjPFoGyLjWLV+MhpjzcJf1ycYIiSoNkcEaozYaqPY/lGLwKmtmNBY94OiBFhv0DjScC1Z57shodMoo1qzSskQLAxSyAgpj9pjY0nMUTzZYisv0Q7VymDbS9x+pXPTe92INHkpJ8ZRbce5P6a5kxRiNdYgZoFqNQZwlUHaCjxlLskjahYgRyNWSAkfLPOyJJf0lCWUNchmVcYVEOiCmCQTLmr4oFctfcgZXf8WhK4xhKZxgDox7p8GeE9ovOy+db3UoL0xWHsJ88pZnFPGiN1qFyNcJc4ktgZZvQtZw2RKiEvtDVARTGtx/yKg9oS60JsFfDOAOsqOXozt1pBWeWCkXRB7b8hAZZAVaFu82llmVWbY1iIEhqkIprZgS4gsbh5fTahcxDyGrCwcJd4huIjViIdL8M6OoOKZgOPWIt21SFYdVY0BO8LpLmJVl/pwjGYW3JoZWK1k0UVFRDNU4oEz0k6STwp/XBnkCKCfJXAk4S9mRjYGtrGjoGZgrFUFiEDxB/irKw8MAa6Z/jaWgsmMBOCksRjekLxzZwh2YxGYcdEnbBoJjCcCGprxlxjHRzUMSUZVpeFHpawOewZZI5lHlQFqg9Rl8JCnTLLMoFqcGZEB11iELM5eSwQ3q1XlVWBe4s8L7KVvp3JLtsR4VwaJEk4et+jvihPHGoI7dtiFJBEJjQh4S4Q5pG6KjJNjwTQYYh4R7AwRQh9BFYGJZC6CgMYinUekYpOFgPtnK5t7ShmuFsceAagNwc4Sdyo/V7bUTgypuCLgQKXgoqyDmBKMM8i7CPtYje5MsXUNwd1yOO8EinKlCpDfC5ekmHHrRMRHGb/CX99F2EaUnqSKGtUW6X4QQabjZ61E0BhvkCPDq+OSAazcEgWs0bP8fOxkTZhFgpazIrRTls3AdQlkPXqSaAeyMk9ONSKhrUQh8Nmg/2gc485DyKhrg+rtFskAR/UaT7bP4IWLj6LbBbhKkjTEx0OgipAussIH4Nr2AChjU+zp0caNP5cRngcCF6Bqay+nyh0pyEXbWKzbGv0QJOjaAJu1Q05GHAbMIGhxxNWMHpb0CBizYAR1TReUftrxSmIl28riqGmwHQbEmBANcNQ4nKkzjEDwXnbGerZI9xsRYdXUCDFiCHE8Ls3tPbS3qGefPe9OlJC3kxl/JZmkNEtTXPA+ILc1kkQByJHnuGlx1u2QSTLgjhuLe+MwEbwD7A0gHESEo1WDbTcgprTkj5epvVfzR+P/vDG4tTILN8AyU2k2b/ySP68l4wFJhlnXDc66ncSLW8ZRTbhftA4r9s3qAfg7Xrc4u9iNtnHm2Xyiaf6Uv49c7o8hREA1VXkHxiN0afMMrdovv62pLEpZTGekmOt534OsAXvAVoxTlLktETRH14DEADIn1m2j6HsTL3P+S2Nd00z7xuTpt1Vtl3b5vXfMeZqPH+uz4zWtNr0LAd4Y+IpgPKD+U3itcnJydLjQZGnOWdSVw/m2uyQT5t+mFgzl78B9aqtet3aRYp/OMl7+Kzvc++xWBCkZHG0CNn9/B7sy+OZ/+z34otc/hD93+3kwPj4+t6oqhJQkntgQNo0Fheul7tVSBjpoVLKhBD/UWvG8ljpBi46xRutFMawRmx9nQozLhbrrhjHAX3ZxdUDoEZWAsSy6aK+H6XlrpSBmlsKKJWKggNWUdtH3U1aUM0iqgUosaB4FTKda4hAmDNV563oR3DlLVkrlK62QakGYSmmPEIwMcGRcXESpm5QlXpKYlaeJv0P542XCpixJGJKNZUdAkNLO+07HCiBLCGXsjPJnxHbXaahcP+SDdZwuul7TlyW90VuPIQjNMr5L/hhIjLPTIKE2mWEcgTIW8+Qq/honaFoFc3aIGYbsIq8+swDGo/BngECah2Umh0lKMn45T+O438530k85S+quNU75E772i3GyOubO7oXRHml0fpaxK/wdAnEpFWtzBirrpBIt7AKgJeaM7SBxjuRk3MLceZ1FqseYJ/66qTbeop867ScW/ggWMUCUGNVCmWdgQkls0WenYXyu2DTn/B1ae4ZIi3kywFIYMkT5eR5iOcSITpNvyBMygEizb1cNtqy5Mo77ay+mhJ1inBIUAD9LdAeBRtCleXIDa/LOxXkpFjApAH5PtrhbBk/+4RarF3rEE4vqOcYj7x5Qf2WC/S0B7/uOn8V3nb4DH3v9xQUKWhfCWI6IrJy64yW327JdK3RLK57IfsgKCpwVuHq/Y/L0AVQyWGgUwGVSzz9aUg95FALlEjOjD2KTGRTofJ9eSGms9ySTwIN1AgA0whQuoOJYbLxRUxihu3mMMgGHISs4yZIWYdJ+rJUKvN4RiFiM8nuazvzBgg8hBln5o9SRkqynflaKZd76GMdqpcYY1M6rndSJkN/nT1nqh6TxlDKjWWOSU5ZwK8G/XdIy47eVChABdW3BnNGo5nKZP+HJFdt9UftJsXaHpKE2CYeQoDqtLA2GVnbwSAkjmPnh+QJdlIUW6RySBdsPE+LXvFkzObgKf20j/FWV1fG9PHwgqY02fYD8r2ABjHzudyimIqwMURAqHT+rWWJFUM/Hr/A32oCIxsKtI3/58hG2VFMBio03oW0cyPDo0Lw0fjpnF6WG9L1lzcUk/O3DLZbiBaV5ayX7lKfU8bJe5pmoOQsG8+JdSeZnUBD3lC7z56xkHco7JQ69rgjO6UYxl6hz/swENj9/Zx9UlpUyTwZwtwxsp8oZMYxl2NuAfRZ4/V2fxA//7R9EhaxCfpqb42tZix7EtyB0Sb+UIR5HQVKSDjpUFaDW8jJS9iNiCAGgBGOSOhcuLzzWeNTKS7hO8VAPMUu5kiQDtX/EJhRwCzlaDSlKuR1KMEbiFg8VJOTIaJ2VbDmW3anvJV23bSSSYd1arFqH5ZHs8vdvuwGJE3aqqYT9+DzVPOvGwjoSzUwzvvoolRx2g3yr3zPH2FllCmcJXRiQOQGUYI0kB1zmT0KB1t6Kg4DFVrvdJp2kUj9ts3KjIC1tvyAfM3Cx68HIY5HBQ/zBAG3B0yUNIVPNxTuDiz4e1HS9tbAaECvRGT1AGUwRVk0/l+ZLloHYOHFSlvE7PxMa3hs0lcVm7UdAlNL2i5nmzCN/QxDdZH9jIOVptda5YGS+ZkAriBAuOqmosq/I127CqLVGgLiJMkAJRCXNd7k4WUuibTQyRPdMnJ1LFRVnDdpG+Ns33+0Xw4wpYdv1SDmNpc33+7NklLVrNV2ILWmEuiSS2mWVu1xDrIACSVq4FL40lJS/pcY58qdFYdczmLXMjLOLhLYRp1rbWByt/aWqDvtjM4SIbpAySDlLVYp9eqQ2+HrP9BQ026zUTasOyLJ4z4E/XuHWGeP2BePxE8Zjbxtw97vPrpZliVFbg+YGjOgHQBmTo82Qxa5Ue4fKC3LQRbeEVe+HcPn52f8PNcEo4BGUGkYAcAIRNo3BUSu1kawxsjBn75zvtA9Kj40Y70uaImfZQEi9/8W5NIJ0HGjWSB7ZVeDOC3qJsd0mxMigDECTAKgWeo9uWtlVZyWyAYwgKEv++Ab+CJmKTRLCX2JUtYRvGQMttSJvuArs2zuLGNMNhyT5kJwYu11UvFUGNAW8bkSbe/JkPVaLHmbjdaiSw3gsvIqeUfAgdamTjl/TWI1qEcdmWfBXVdoQU8bNlR0kFCyj63RBZwCOcLaN2KzEJvjUrY1o2ikuNsH9uSl83dCjRiJWaER3k85oGwlPq2uDygmWyXVA+5V3i2q1V/KnGvTobVfl+qJLoz/lpBUYyS6ES8fqy/xd30TByaMJo/DY1iKk2sbCWQlTvG58vLOXFYBDTU2F3S4BR/qnzOh6CQU1zmno2SRbXAIePWP89tMe/9pPni+U548MhL/4/DUlLzSKhK53LzxYuR7x8oldiIgRUxLvoDHInC8dBYr96Nk7F/j818/wMydHeOHxBtnu75ey20pJYwasDIIlSTEtYC5Ja3xZRZ/aH9xLx7SrGklMcddLuE6lAY/WmdETHFNWm53F0aoRIBJFkSq23zyeba/oL/U2gye7IGfWLC2gskbDmggZWbPzWCMvLguKq/g+zB/hok9IrJ2ZGb6240QvaGbOGhytGnRDEC1iJvBuKnHvrFHNQ1ZpAbiWOGGgcWY0qcQ8maGu4s8Z80Bl0ks41HaIoxaIzPCtHTWjIUb1B1isGoEkjCmNZgjg5rJH43fKoWtKDVX+BNi8AOPE0XlzJX8a7XEje6p5XhRTk2qe1SyKZogR1hjU3sFag36IinQ1FUm9rgQ8qY8mZ57CsRQzpVxfVSV8SrAa5FM0ZfzAGnPGjvdd23SMdrPvI9DIn5iJkmj0tQi3ECOi1k8cy6RfM35zWVBwgnOJ5lFzSjvCNMrmlSgraHnG4/czvuaHOtyuIvA4wdQZzdHjYCbQ/QGHyjBVpsat6jG81H0CiTP6t25eUKeW7r4SaytMH60brOp6dLBMANiiZfzON+7hS772FXzDT7+G1Sxg2NlpEom2qEcREnALYwW/QejlcUEeNy2aqhrtKfMOvk7gOmNGXjiKRsZZvxOYgRxrpxiDddvAGoejtkXtK3GcOTdODntNEcVVrVWRCYCaF7yaTzgxrJuK/pWjnwHhVrtC7fwIBF/66EYhWL6FoRk98jPyYf6cNVg3DZx1OFqt1CnoUXlxbOXMcFcU/hPNpBp/YQCrtROhruaTedG/oPxZY3GrXY19WEKagMNmoIP8ZWg2lbKbFcFhb+wr53ReemxWK8Er9m4E3s85X8mfNdOCL7G4myMnGo8RE4D3U/WDkAT2sLIOJ007moTmjrXrBO7cNl+EBGsyRta40/0Nvqk9mqpG7Sts2hbOWqnOq7Slvw8vbWeN4BsDCqoEbI6X5gXvJ3tsSGI/b6sKR1fxd43ANUSjGWlMkY9l8+MFlkNpbS28reoaq7rRBCg/lnZi4JL5obTKu7GIJDlZg6uNZvPpCdCrYzAzj9++aWqsqgrVqsJTn/0U7NuexSvvfAQvvLNB99XvxfG/+s1IX/pFl+hZY/A5q8/CHzr+CtRoNbb4LQhdQBB9QryMEckMnF1kEDlwdjhatbDkx7Lh67bG+3YWL3zHEb69GvCGXdoLZx4z1JUd7Srb/rBTgplw2iVY8gBbHDUtnPGjXXdTN1dOtIVeypJN5A1pWRgZqHVT43gt0fQpZ9w9u8Ddswu8cXaBXT+Awdh1aSZseeS1NGcNNm2Ds2032wR0Y6glSOa8O3BsZ4neuL+LcKaCIQmTalw1Lsjjpj3sqMPesZUFaMeoXZVBaOsKbV3haCWBSiEm4e9UeOyDYIieX0R47U8i6Zd5q71DU1U4284K96kZI1dbMAt/h1rKwFmXYKmCMw6Nq7Cqm9HpctxcXYlxzh8BWGtJlGEQVW3TNmjrCisFfe6GoON3jntn56rJA+db4U+00inapLRVLRv6VJhQ+9tkZN9LwoPiOiy+jwX3dhsYhirUroIzHke18OSMwaZucLjNnEYsQmqtmXLDIGaw41WLVVONPpPzba/jd4575xeCPZwV08MKroD3y5AoANisGuTMU2FJ0rXhItgNkvAQMmiPQwajC8Ij2GNV1TDkRp4q59D6q4/d4/ixgAq1XrJOQxAN9njdYtPW40Z4erEb197pxW50dIcBYy2+snHM2/G6RR/iiHVbbAPse8BkdCFLnPMBWXbeM9xjFegPbfDTj9V44ht/O574oi/Hk+/+evzF7/kpGAM8+Wg74nJMzzI+/MKAl+873L0v9v3mQJXoebsRZcxYwQmtvQOIMIQA5uJUybjooANutAS7PLvrBmzfeRv/N8donz1Gs67H5IVuEGzcHJMEwPcCgJJShvMW3kglBQMaPcAhRQAJF6qhboeElCas0u3Qy/FOv33akQ36GOCMlCKHJ0lTJM24gmhau35YHLEqb8XBolpDjEmg41TLjykvNofKC7bpVu3czkomF2mIT+AADhknmwqeJH3Vkhk9+CFFEBJEPggy2RB51Pgvhh6WCFFXaKXhOgRxIlpjEClJ3n3UiA5LMCy2VBp4tE9ZI5po0FLpzioymuPR8ypmiGku1JVHjFHGDHIaiCnCQBw9CeKMPD72qIwF1MZaIjBSDiCKoCT8MVv0naBopZxl/MggKU5k7Wa2WZbEmUxikx/UEVX42w2DgBeVSa2ps+WE4IzBEAKcY0S1FfZ7Ns+m8uhCGJN0oPPCEOHsdABTwhAMjjcetfXI6uwLo5NqQMwamqR9fG8bUDkxnfQxjKekwh8DCp4u40gOyD2PIWOFvwuFnyyzra6chC5yOTYbhBhg7VTapu/DeH9J4tl2vYZzirkKSZC2Tk97wMgJdrPy47clFqxemfM9UlYwew1DO91FOEsIMYJnJ4cC1C622SDp58wgT4hdlpAxmuLQi2+o8NNUblx7pVBHygJjWQ5F3cx/VMxJ57tunM8xZQknZOBiOyCvNKnEShQQwOPYiX8hIxNgPo/xC/FldH//E/i63/EM3vF578G//ge+BC+8cg9/4Sd+DLf/4EpxfGlcv3ebX8L/8PE7aDdBMtVuMATeCGJe6m51Q9gL/nbS2Sze5+IsKS0zo9l4PP3uJwFMHVw6a3yXhpEExbO1JDi2c0M6AfDOif0Mk41TTbIjvTw7xgnwREaflvSINQIjAbWRbx/ttJPyjTRH/dOj1r6iOXdk7DsuRqBxyKQwQw02PSzJYs4JCLpFlGoJMaeRv5izRIvoWXrfVmiIMKTZwlO1haCFC5lHu2rKDMuTRiXIU3NnhvxsZgu79ENp+05S+R45njpLMEMFazpYEPoUZzgPkOOlwUIIxpxg7cTXvonBkMEQBWV5XpDQQELimCWUi0j4M7PQnYKsNeevjMNVy2G+iOfzuCxiCh7OSqnyLoYRuxYQ80fmPFU5mPPHk3Aev0f5K45TOaHJ/BM0MgkZ84qPkHIGzVSsFK/mb+Jhasy8GL9xLun6ccYD2cJprGsXwqKkTuUcYopjvxAMEicYM62/fceoIRqdbaPmzKzvl36cTJbLk3RcIFISCojVfP3N117OjCFP62+MdND7HSoQi0lPFJphKcvmssUR+orx0TcYP/S/nuNHfvZHYLqED9m7SH/Ywt2awu+KQrjeJFTNPcSdONLeWsgYTbgK85Yz4+79fmS8VCa9roWYFh7H8rMAS5Dixmoxub2viplx92KiV8rgXNeGuPQml0mRgqTzekOIYbJ5lqBxgWrLCHmapA/iBDnYCDCesFpZeDRix02X+RtiwuluGblwU9v3JottSvLoGyM4E8OQwYodMedPSrbMIgkexBN8FX+OsFp72FxLWFy6XANrO0RcdLNF8QD87cIwCdESiZDlSLqyRoRvnyWSYTZ+ANTxenmuvWn2jMQgr9cVTK4mMJu9NXG2G9CHicZN48fK3/x+cfxIJd21lZCxrk8j1FXOk98i5Ig8Q47/5c5PMgTvCau2BiUn5hZe8sfMuHfRC8Rn+d4bKi9m5kV0Q7GbssYar62or73CsBb+WOdpSGGKZLkmCuVG/pyEojZVA4LA0O43Zsbd837s2+4TAS+9r8cnvsrhn3/1Xbz/M3doXn8Vv/v8Pu79z1vlJ1+KxGHwCFt7U8jYtVdLUHZp213x4gPr1QPlVdzYjBXUIGOEmagaJzNLoUQWtJ91/ebp/abjL7hknzKORhQtawWo2zmLpvKLqqPliOmdmFZKmuzxusWqviZsZL/pQIBVA51Nsq0mmJTokDfbfvPJb9v7C8F6IyFwJFr8bhtRVx7euQV/ZaeXzDMJATxetzhet6Pt8MZWjOUavdAPGWzk95QYOw1FqhxdSvW9qTnyeOfR5y7/aBQERoFdrBHg81Vbw5AZzT1z/lZNBWMED6PwVxwtN7KnUSqs/EkQvZwogiYPAEBTmWXZ+wdoG3eCZ1fvuMRf5Q2s9pUhQrfLWKstflFxW/lbNzWIZBwLf1f5Ni7xlzXNW+dFF9IoBDtNTAIEf+EKv9WV7cnmbbhdPb74G1kt+a4hf5wZITDWbT0mfBRMhTKGa7XTr5oKx+sWR6vmcBLLoabxuKVSxDCTZbuZ72jdTKYpTgDtGLhXI72yxv/psz8PP/4lNf7x1zjk7jKJBX9GKye/lZCxgvrOLIMa4zCGXczv8c4i5Yy6qkZhdb7rxrS8az+USJH9BVYvMUBMqL1HSMOlTJpSWTRnRuP9GFZ23nWjRxKQqsXvMU/g6JEvw0+88cNKTHb3gjAkSPSlIObhIOmUM5iMOs3Ebu29gxmC2jWv1jJyZqQotcRyFg07ZEZLBtbZyQY448+PtjGtSstARsZF3y9sgp9/+z34Ql4DJ78dH7z/UyN/4z8IIIo3UiCTGIeDwJMgbEnkgoAV1c4hKL7EdVqG8DdlgDkSFLK1dYiGZzbH5VEu5wxjDBrnR7tmp5ofQ46vX/zIl+Nd2WFY7fDC9iMjfyxncwBiXvBW6pnBYMRrmLcQEywZyeIjmTfF/l54ONSYFTM5yAbCUP5SxsZ5dDkuCm6W1niPkNLol2AAfZQg/kKpMg3ee+s9uJWB74/neGO4I+8p5g8V4IIyJmFTxtBBDWmIEd5aGJqwEsQfgYPhnPv8hcBjdRdLkoy08RUSX17rc/4q60d/w3YY5PSpxI79bXzZ+vPQE/D/a+9Nem1LsjyvnzW7O81tX+8efZOVGRHZVCQqqjIFSFUIVKIGpaoBICEQTPgaSEz4AgxAiAFMapASKqkESlJFkWQSlU1FZvSe4eEe7v6e+3vv9qfbrTUMzPY+59x737sv8PAYnSVFuPvd++xlZttsbbPV/P9/dPnHVHYZfixFoEOK/etZJzpjb313PsYjQmVrCC5KKUhUoO66rcpxq3/GxQpTF6hCiNkoSYqxzY3+CSEYTVMeTgxf+r5kiuT7/BX/dTrj49+T/LPHr/+YCSkizc/rvwp3+nR7zvumM7dWoTnvaTrDdJRjDDjhh+oZKeUNX+CmBN9pyNG1xiEyQa5lxDA1N6qKgIGIb5oXQylvpuVgjPuk9J8tfsjocMoPL/5s3VYHNuKCOisR3pNkIadWvOIFOudx2Gic2u1rdxzrjPF4EUCWjQ0wjrmKLMGOW/vXxZzLUZqH4KLz5Bs01v2x5nuX/y/i8Pd45+q767GxHtv5AKnngsMtzRWmC1Cbt7ZxCAxaqubaxTs+mK0JrqGqDWXFaRLgDVtnI7zgzf61xqClJJFJiEo7H9hqraQnhPQ4/vzyT7icfmswuN7HD1jnAhKXD/75NJN0nUGmt28vBkZoawf+uTeVNhbtlFUYoySRpFJS2+DzvJ79AMHtE9LiVAwAhXSycHwOpKitq/nO7M85yu4PBtf74BrqOodtemMOOpG0rRnAuV/Vv9ZY+AW6531kdREBxxmCEdRSUJn2lTv3uuso0hTvRV88SqoVxorBLzrvLvnX1TvUthoMbt+/tnOY2D8VYw5tZ15Jyz64ht6g2GNTnIPW99jMHjGKKGoi9OG2uWmNo009+h9lfPS/XPGNi8BK8oc64bvvCPb/44Ku9KTjm20NtsxvU5S9Qt4IZSw89PUWfDONaL147/Y1rUoTME0jpuddC33QV1fDv1fRrl/3FX7/8jvXfhVSfqQKVW8bWWz0gCY38oE2RAgxuD7Wf1xfG54R/6615PKyJU8C7KEPTXitDggfsmWz7l9PMXN91/nXl39643dVBGPuSznXMYzt/m3umjf7t9WHu/qnBFdLw3isaNq4xX6D12ecw7Q339/mbOlcw49nf7n1O+sCJXrT2XgC8+u0oNf1ZWNHc1v/br0mwnFxubKMx4p6Fv/+Bv0LH0YTuHBeIbPunFl3vvW3JmJilE3gENxcC7/U/oX4HM4H7rrxSNOUvLH0Ze+vk2fl+7f8LgTQqtbGwO7G/LzmK/9F+7fGdyCeYgN0ge8cRaG2tktbzBbXxLaei7mB/zDjXy3jelMC9iXzZ5ajr73CZApYNTYyO38Ko+tD77eiuRDKRwPT8s2Gv6oq59bn+0BfrLUgyxSLpsN6hfSBR6muDWmmUBERCKCqOpzzjEZpPHIJ5st6mJ9CMFyz1lFWXcgPTCSJVkgt6FqDqzzzn17gU0c6Tug+mFN9tKL40gR5lEWQZM/yB1f4zjP5rQOElsjKc/X982FEZCKZ/OYhQgvsomP541lITXlUoJ4UmKuW03dmuLxF/06Hn2pwnqYxtG0gcuwrxLz3rMoWgWA0SgYjv1iutzBSrq8ZY6kiYWeWKTyBVcJ5i7myXL24wmmHHiXUP1rRntaMf30fRjp8BDrH4nuXyEwx+eZBsJmXHfOfzgZ9aqyZfCNca09qqp8vEcDoy1P8nqY7r3n5Z0vsUY2fGEZFgXeeugqVRKMiuBC0Chknq7JDKUGRhz4441ltBBGVloyKcBZsWjOQfxaFDoDf1iGEp32x5MIpjLCoQrP6yQxbWibfOsAnAQ3PLg2rH12hjzJGX5sigO7jitWz1aAvPc4ovhpqROsPljQvg1ts8hsHGA3txxWLpyvs5yqSQ8j2M3Cwqlq8D/PQE/zLxjiqqgsYEHkoNGlbS92sd2lpqsiysOyquguU8gJGRYJQISVTKU/5wZyzY8nk4QiZKpY/uAQhGH/zAGSYB91ZQ/negvztEdlbI6QQlD+d01ys50v+uRHZkxEAq3dmmFmHVILxtw4DcNXPl8xOa9yv1TTHGj1N8S68EyHF0A8pBW1raBpLlgcoACkEZdkOvl+APNckEf+6rLpw3JYwKlKkFtSrDiU91btXnFnB6DCHGSx/cIWaaoqv74VjvxTUH61onleMvjYlOcpQQjD/3iWmWo/n+Ot76MMUnGfxgytcbdG5ovjmAV1pqP9mjl22qN93t/qCrQsxIyECSH9xLHk0WaPObbpohAL1inBOn8WlpdjCqb5N3qgM+EaytAsUJoHtU/F4fEzrDOfVVUxR6huyNtbWcePI4n2g+BAC6hm4v7HMZUM6ddgLR/vTjuQLGvGkD1QI6u+3uKXDfDu4I3Qrmf9Fheg/gBLM7zpEKnClo/puCx7UfYX+msJfWdrvdegZ7H1SM6svKIHi0vLWpeXqecNqbz1oD5+2uM5zet7gFOjac/y0DaSX1tMIuDxv8BKSynHvWYi8zqYl5eME1XqePOvwE8/HhWEmGtJa035kMM8s3a8nuINYgWc91XdD1N58OwRt5Fyw+F5FtL+IXIRrQmDOLc2PQz5m9kUNjwScOdofdOQXgmRRspyF7dbeS8P90nF23tJEwHVpPY+ftlQCzk/CzjObWx6cmOArNZ46FVy+DNfymeX+SaD0uXpaYQ816crx9ktDfWQ5HRvmrkE3ivpHHe7KYX7b4vIILl05qr9qkVNJ962wCPwnntV7TV8MhTyUdN+MR+anhu7DkJbYfSPBjsC/sLTvdExfaqxYMX8eTlhHzzpGxvPyssVGV0raOJ583DHPSy4/Csfc8anh0bzfkXiqacnlh/HaieHB3NIYz+ykwY0kxaXl0ZVltrTMJw7RgapMmFcGur/tcMqjpcReWZofdqjHiuYrwU3UvWuoX3QxvgHJW4rsy+GjUr/TYs9CJo752xaDw31gMR8aDj/yVPsL5u+vEA7ufxSO/C/P6wEndrS0vPXScPFhxeVx+FDuPWs5Cmm91Max/Kji8ihc23/aUjSe0nrmZw0+Eey9NBxWjpedZTV2uNYjZpLqLxtkLmh+y8aSYIH5xNC+b2i+qkke6YCH8tcNdh4zkTw0X09IHoYCjeqvWtzKgxZ033aYxmL+xuBeWo7fh8VixiyZo1rPw2cdZiQ5e74+Ae1fGI4vLacvGpYTifBw8EHDOKY71p1j/qJhEa8dftCQGlgKz+y0BhHmxVTAC3v7Idr5kCyQDfREoItghBMV2K79NVtmrLvVtZRH90V3h5vntcSU//n/8F/5o+MMlSjkRv23932kEQ7Tx/ynb32NNtnjn334/9D6ckBtqhu7BQx+sxLE062Cf6z6pGLyz5/zSd3ggamSfH1S8LLteN6sd0K/Ni5QHn6yqjAeEiH4YpZxUCha45k3lqddg/GQxmsC+GDV0KiQDP63xgVHI03ZOC7jV3OcKt46SFk2lqpd+9SORprGej6+anHek0jBg2nCJFc0nWPZWM5XIRKa6XDNec/JIqDQKyn4/GGIzv7kvOJlzO27n2i+OM54v2q4iv4qKQTfmBSUnePdKuzeR1LyhTxjkgVEsllreRbTqcZS8vk8ozGOD6sGqwI1/K9PC6a5Yl5ZFnGneFhoHkwTriozRHGlhONxwry2vJiHMc615ME0oUgDhcqqtVysTGCySCX3J5q685ytQt5mpiSfO0pZNo6fXFZcxgTnz2Upj0YJP1lWQ619JiW/MS04LTs+jO/0QCneLlKKRLKoHbPO8DyO0YFSPMlTFo3lWdviZZgXvzYtKBLJZWkisSY8mCYcFJqLVTd89BMlOBxpTpcdF2Vo1yRT3J9oUi1Z1JZVY7mqgrtiv1AcjjSL2t6YF6eLjncWFSsXsDm+UuRMM8mPFtWQi7unFV8d53y0bHkZU6YeaM2TUUqiBLPKct4ZzuMYPdAJ9zPNeWl44ToQYV58eZqTKMHZsotMEYK3DhLyRHKxMoPxyBPJNFc8n7XDez4oNMdjjZKBmWTRWJZNMOxHI81errgszfa82Et4etny7qqi8es1IiT8ZLk2gg/ShCd5ys8WNbMYz3grSXk4SpACrirLy65jEVPE3k5S9lPF81XHBet58blpCh5Ol9trBOCqXO9iJ5kiSwTPLltqE8b9eKw5jAQF88pwVVmqeO3+RFMkivNVtzUv9qaaP/4HJcVbSSjBz9e2LJUZre3wBGr4fmOolYz5uzbWKdjBMAfbcNOWmWUI6C4Xhv/5H/3vr3QivpF74bpIKRhlGau64WX5Mf/Nd5/jcUxHsbxSh4yEbACW2H5GkaUxgh0mBoQF8qWDjONl2GVmieDeOGHSKR436xSmg1Gog1cyRNqVhKNxQhZpe46sY2+lWNSWUSZ5NA3ngXGmAu2NgPvThESFoF3vTx9lmrcf3+e9pyeYDWfv3nRMmiia7jImygumuebxw2POLq5ItUEQ6KCLNCwCT8yi8kFvpgXOC752mPOwCn2ZZJL9kSbTksasjfzhOKSu5TGXMdXBcCRKYJzn2Hj2l4pV6zgoNPcmGus805UaChUeTMMiSKQgj7u+w2nOk/uHLD56SQ/6LwTcO9xnVDcDSEqmJZNc8+jBMS9OzskiV1VnPdNcMc4UeUrwm4nQPy0F00zxa/v5EJQ5GIV7vyXFkKqmpOBwrBmniv1VZBJJJftFeMZB4bnfaQ5WmqZz3Jsk7MeP6WGpt+aF6PXHxfXwYMzepGBenQ3pTUoKHj84RqgZSlTxPSumRcbx4T7PT85CEFaEsT0ca4pEkiiBlmEsx6lCirDYf0MUA5jJvWi4E7FmV0i1YK/QpErysA7veZorpnl4xn6uOW41F6twWni0lzLOJIcjzYNr80LEBdhFkP3H9/bx3jOv1q4frQRvP75P507JdTDy00KzPykYFTny4iq0UQXDcTwO80gKTa4D/dAoYgk/2ktIe2qouEaEgGIj/axIJeM0wIb2mLgHIxWeIWC/0BzVissyGN3H+ym5DnNjc15MMrXONnSBiurth0dczlesNvjF0kTx+cfHVO3LAW/6YJRwfDCNqZZLVAR4kkJwOEoIG1DNuHPkiaJIA93QbfL26Cv8w+zrXOR7/POX/xuwjkuFlMA20IHZjZ3wLdkcfdXqrAyO8eulwtflTveCczHhfmPHGnLegrEsUo2bdKHEV6zpWcSQaxd+k+g13Fxn4tErov53XTDAeSIxUU+WSD7/1kPee3oS8GOjFHnKOM9Y1lcDMWCmBU8e3eficoZq2oACJYIBKbKQaF50FqsEk0wxKVKc8xi3XWV3W35qSE2JDhYRWWcFHOxNuLxaIDBIIciTUE2XpmmIJGMQIizER/ePmS9XGFcNBmhSJHz+yQN+8vPnW1iz03ERfLtx8iUq8Ma99egBz1+eIYVlnAbDME4lRZZgrWUUcXnHWaBDarsOsYGZEdCcbvYvZIOsg6RChI/qwd6Ul6cXsaS1Z0eAPM9YlsEdoIQg05K3Ht3n5OySdiMDZH9S8OBoj/kHL4b+SQGHe1PUqlrnuCaSIk149OCYZ89DJH+SBhLEUSoZ5QmqNTQmpBdNMs14lFPXzVY+rpTyBlZE378e/DqMAyit2N+b8OL0HIFfsyMARZHTLKrgZ5eBUPLJw/t8/OKUInUD1u/xwZQs1czK82FRSyG4d7iP9fMhB7RIJOMi42B/youTc5wPHy/nPEUiGWUpzrcY60mUYJJrRkVGXTdbASSl1K3nYxsBaTb7l6UJ08mI88tgoNPomhNAnueUbRmPz4JRnnDv+JCPn59SJAKrwvx+fP+Qsm6ZV/NBl5aS+8cHVN3F8GHLE8nB3phEay6u5hgrsRFmokgkeabp4ljkiWSca7I0Ce+PmFMN6Iiadl367JrN+TkqMpzzzJer0F+9BtxKs5RlHfqXasF0XJBPc/BlrFrt2eLg48sL/qg85dR/QntgAhC8X58ChfeDP3sToCnVesiSCghvks6GjJ22u4lTc11enzJGABVRSaDUUSqkYkgJZd2hlSBJE4pb4Rb7EsoeI2DTL+JRStHUDV1jA6PmhjN+cF9IcSPSHxD7uyF63fu3JqOC2Xw5tDukkYGOaP29aq0ED+8fsyorqrOrUCJpAoL8J8/PbwkCSoyXVG1wmSRKUhjJ1aLcurdv8+WyZlEZrAuLqIlMulvRV8I43pYm03VmWLDh3rBgppMRL077ibdmX82ylGXZDIkJiRJ87slDPn5xStmE+vWms1wsaoqXF9tRcA9CKhoLVWuiTkXROa4Wq617QyWb4OSqjKBEYSfRdAEqcitLgrDTv43CJnDjbWPBCimYjEfDq+6NvACKPGdVLwmYCIE77Yufe8y7P3+Kj7Q1jbGcXpW4brvq3XuPUJqqc0P/lNQ0rWG2LId715CP8Mn5krpz4SQmAjXS5nvqwb09tweS66bdwrr1BH6vyWgN6KOlGHKN8yJnFqstlZRkqeaLbz/mnZ99AL5nInC8PJuTX0vZ9B6ESihbO/Qv04Ky6dBlvVXVBdA5z7OzRaSzciRS01m/9Z56PA/PesM0XMNT1U08xa1HOkvTrQ1LD8gf5meOXfb9E0xGOY/uH/Puz5+GNtnATvH8xeUNtDLnQShNGRlWBNCmkkXVRBD7df+ECGvtdL7ERBdQpteM4ohQoit1SATQCmxywXe6M8YTGAtJohIaY+JcYzjl97ZMKbUuoth4vz3Wd9eGvnzqlLF+N+mjQ7kqTagimYTcw1VbDbvavrJFKMGqDMEYn4ZUkHbjmnWOclGyrCwpISDXD7f3notlg0fwpXkXkKQ2ZFEZVo3j5bwK1DVSAjk/+NnHpHLbCBoLH58vmVU20LMkCms6xCenSAEXq47TRU1nHFprnK8BG3cGYUB/8vQS6/zAr6WkYNE4LlcfBwZUgjN+VraRDSLBOE/dtkjgdC6YV88ZZ5IkMpWeLWqWjeNzR92NBO9Z2dFax4urYBTyROE8fO9vPiIRbstQdBbefz5jUVuarmUvT+g6g376nKY1nC9aLlYtnXUUaRpzYf3gUrEevvvuC4zzA+hIohSz2nGxehbeX1xg58uw2JTSoX9NE1xJUrKoP2aUBXeIdZ6zRY3ziqN8zGb3nIfLVcuiajmZheP+NA/jVb77FM22kag7xztPL1i1lrbrOBwltJ1Bf/gJy6rjbFGzqLuIjgWL2pEqP+zCGgvf+dFTOmOpYr74rNJclpazeY2K2AEuvhMpFUJEgJq2RUtBqhXz+hnjNLhvGuO4XDUUacHxZBvLwVjPxbLlfNlytQrjeWQyOuu5Wraoa/1btZYXH5xRdxZjDEfjNJ4CP2HVWE7mNVUbXBGdU+HUo/2w8Be14U9/8OEWstaycZyvDJNsGfrnQi702aIm1QmOAFDTGcP5UjBatFwuasZ56F/ZGhaV4f5ei7tmBJvOcbFsOV3UlDEjw/mcxl5SJAp5rX/zyvDRxXlAsfMOa5PIQWhY1JaXs2pIk/NoEI5iwyKdzhueXXxE2aw5FVet53x5PlTJWbd+J2mS4HzIALHWcrYQnC0N0/kS902P6LcmcRNW15YkDXnitg0FSD3udF/kIFSoxFVCkGWxfzYEtIQKub1zU7FsLbrzZJmi+zQU7NbFen3rEfHfA3yAp42+WKXEGuQ5/neiJZkKW21zLWctyxQOh8AzyiRd66gah+s8L+cts3mNsQ6lFN/98ARju+FlAhgfgjp15EwzwnO6NOS1jajzntbYUMZoPWkSdrqtcbTGsqwFlS3RUrCozeAr8t4zrxuMNVuTLdHBJ7w2dsG/OattXzFJ07bx6yoQciNjwwfoyKvasmodUnjmZahjtxj+8oMTrO22NvMXpYm7NxffAXjRhf7JkL7XGht2sUCi1/27WAWktdav8B7mlY0U3+GYPasarF3X7QsEWidbu5aAuuS5LO3wQWm6Fms9Uik2q7GtC5VaF6Vh2Qiss6zqDuM8F6uGv356utU/D9GfueaEW9SGzgny2kY/fQCyXjYdUiqUVEP/zhYtWkkat8BYz6IJ7xigtQ5TtxjTDSmOIlaibRJkOB/87xcrM4xL24U2J3q7oMM4D9ZztjQsk4BEV3chaPrx5YqTRQUbGBYeOF8ZWmOH/l1VhspAXpkhjbGzlmUdYTRFiJC3xnGyaMi0puyWNMYFJL146qk6Q93B5Ub/pFBorbfQ7qwLMIy9+6+zwaAb5xEirKvN/tUmrJ9l65iXzQCW9O7JVdjvbmBYOOBsabZKhC9WhmXjyZJQOm+MpbWOVdORJSmeUOXWGcsL4xg1jkVtw+48rmEhBMsmpOBd2nVys5IapdSWV8U4z6p1VNGutKYbEP+k9GtM73hv2TqaZei/t+EeYcDhUYDy0Ma1rKTANvHXPtoyJUllyOQp+yBfbE+WylBh5z0jJWmdo+rs4E55lbx+pysczhrqVgSAFNGTHDrKJlQgKRvKaps27KDSRNIaAT5UEDWdG36XJiIwGmxkP9g2pOgI0zGvbfSHEiH7Otqu2wKXKLIs1JbH5GovAspU2QFdCBhUTTjOSCnRen0MdC7wd1VdcOPba8ckQY834Yb/TjZ+v5mM349r2HG64fgUcmv90L4+17a1gXGjN4I+9i8wN6zJPEdZtrWb9QTDu2r7slVH3bbDcWcTi7s3gqsYrd7iqRIRatG6rfLVJBH4zfui9P2zG+Nx3eO2Pt5BHYkFN4181RrKph2Q/qWUoX8b4+48GBd2aBB8lHVMvk90T2oaTy5x/Je1i2k86+cIYlqTdVt+uVQHBtrr/esNsXF+aHP/HK7dH3aAPVFjOLoaFyrjynoNxKSUitVafqt/nfXDx6EzkTuQ4Nrpg5rhZBaMwiJiLvuNORRxb4a5BsFVlsQ2b7V3s3/W3dk/5wPWcWOCW0UIQWsszrmtKr5Ea7Ik2Rp3G+d2f5Jt2naYz1r5wZ/f9681nrlfE6cO/ROBRmsz51ckfjBQm8VZm/3rbKBUui2bYLN/OIlvBa1hDabuwtqqoj9dS/AC6jZsLrNE0MlwFAo76v53nkRLnAWcG1yhtvY03mO7T+HT7Q5eYK+tNKGBJH5JGLBOQEMrQ/wvbuLxGtjAbrYCysEGxCoSHYMbtwzWUVHwMvpYekmVYpSmLKsqTMp+QYs17kI/Wb1zJDH6Wm4shP0so7WWZdNsLdqjouB5NGjEfuRao6VkVZaDIdvU51nThzjvSZVao0Z5j3OOgzyn7DrMRl9k1PfxRhu894ySUEywqqqt8biNrsR7Tx75vrxzw0I9Ho2Y1XWgYu8NghAcFgVlXW+N5zRNaYyhjPTdN/RtjJv3nkJrqq7basO90YjLuqbduDeRkr08ZxXfU9/uvSxj2TSU1/yNm+O5pS9Jtt4TwP3xmLOy3DJu1+dF//uDPOfq2t+29F3vX5Kw2BgjEfWdrlbreXXLvOh/f1gUnC2Xb6xvlCTMNueFENwfjznZ1HfLvOjl+hrp1564TR8wSpIwX3rDLQT3RqMtfbfNi34srq8RvN86yVz/gBdJQtN1W+/poCg4K8utNXJ9XsDNNbL5Tq7r641yoTXNRvuyyCKiZiOcDQ6ednhIeJL2sVzfRwojwEto+w1UtFV6Qy9C0Pr1JqzfHWshkJ9mpyuUo5joIRuhSDciqEJQR1zTEN2LDmoZULzq1sZIagCqqGKJXABd8evZQehYE4GEe/HOcV6WN/iQyniUH+6L/zwqCmZ1TXsND6GL/FhcmyTXv4zOWs6rim1tsKxrtNZsDqOIE/Wiqm7oa+1NavpNVKhebNR3/fXM63obJSo+695oFCbqtfvruIC22tf3b6Mdxhgurunz3nNVVTfaJoD7cSFuifdUEZR882+3BcxaY7iqt2GZvPdcbhjAXpQQHN+mDyi77sYY3R6g254XEIz8bXNIS8lhnnNa3qx9LW8hXLxNX9U0CKW22tbrux6MTZViL8s4u0Xf6hZ9t+2TVk1zI33TWHtr/zKtKbTmsr4Ji7Xquq15ARtrYWONzOv6xrh3vb5rfx8lgTx2dg3bwvOG4+k9s2qd79xLa8yta2SShirA5bVyZB/n51bfoj7pJfk4IJQJISiKbVvWNKF8ftOnG8hAFU0T7FweK83q2sYg4fYz+r6U5XYbrsudgTTpQ74nOiA0CbketET3BH1RH47Oerxxgz+kb4vWwQ1g4nE10RIdg2+NdVsBM+89rbUoa28sJGMtMpYa9y4EuJ1HzPnAKqCvLY46Emte1yetwV4zosY5xMbOte+QcTfZWPvjWM9c0Et1DdvXRX3C2hsLJjAJRMxSv14Qt2HQ9kfxTcBwCBPdXtdnDMRS3Ov6+vEEhmd1t+gzvb5ri2Z1DdvXeR+iwBu7881nwBpHQscPxm3964y5YWi89yw3d1qEtL7GmjCfbtHXo8j1v+cV+trI4rFplAZ9G//tY//UNV3hCG2xfluf9/5WfU0X/LObSGfe+y1D7L0fxlPI69kLr9Z33YAB1G0bgk3X5kZ5TZ/128zNw70u8BU6t3ZR9ae/W/U1TYyprPVZ527o69fD9bnpnIuksDf13baXrNqGVG/rM85RxfcqfHALCNUjG67JFQIcqhiYaJo2gA8RsVr0hi1TWmKMwxgf40+CRAu8dbTGB/bh18jroR2lIM8UaIHOJLOyIxGSPA04AVm+PQkSLRjrgD7knGc/2+Mou8ez8gOqKiDwd8bhE4FTgBa4VWh8mOghs6G1lrJrKU1HFmlt+qCOcZaqa8ORE0+mE7I04WLjOB5eZPBlraqwuxgngf9KywCA7UWkHnFhwVZdR2YNuZTIa/pWbcMq6iuSlCxJuKgCJ1jv3rDO0TlLVYXj5iRNQ4pT1NebDusctemojSE3HZmUA3Gfi4uza2rKNvCyjdOMNF3rGxhf4zjVddg5TtNs2FErGdlV+0nXtXTOkZuOdEOf9R7TtrTODhTU0ywnTbb1DQvfGpq6Au+ZRH1Sho9n71c0zlF2YddZpJGaKM5W6z2maaitCej9CPYArfXWePb6KtNh+v5lGQIxvEM29K3aBocnT67rC4hWlekCXQ6CfSnQRkeW4m0jVXUtlgp8eH8ixruTDX3WuzD3WkGRJOjr+uqK0hjaqE+oQM3U2W0/rfWesm1xtUd4GEdYVO/9un/xmYumQXQthdZoEdDYgvFxLOuKVdfRWYNEoCIiXW3M0OZe36pt8DUoQtulkDf0GedYNDXLriXXSTgub+hbVCWrtsW4kJ+qE42UG3i0g74wToiQ4ZJrjYzzbvP9dVFfYjpypVHX9LVVybJtsS5AdCZpwvJaipuL631RhdztRCoyrYI+74P9EJAXKqDD5Zr5wgQMkDSE6dNs++OuhWA0jUh4NgRZe3622hp0HtLtvAzY3CKRASXO3E3o8IbYC+H/phGcZeOv28UFEXxZxS/IPyy+xd+6/JD/fvIQeAlAkSrGWUbTdWEiSsGkUJTKseoaXiznLOqWqzIM4PEk5yDPKZKUs9Ui8k25gWlhr0hZNDVPDg4BgbGGpu1YtjWzuuFiVYOHo3FOqiXHozHVRcDC1UrxfDFjXrfMqxYpBcfjnMOiINOak+UC50PkeBmhvg5GGYum4dH+AQCd6Wg7w7ypmNcNl6uA03k0zkmV4ng8pjw/i7xkkk/mM+Z1w7IOPHFH44zDYkSqFC8W8xDJrTvKmHd5OM5Ytg33p/sAtF1LZyxXdcm8bpmVDVIIjiY5qQr9e+/0ZCD5+2R2xaxuKBtDoiSH44zj0RglJC8WM6SUzKt2ALA+Huccdy1H4wAC0wdGLqoVizhOSoo4noqjYsy7bYOOGKfPZ1dclS11Z8i04mCUcTweA/ByMUNJxVXZ0kYq+ONJyX0zZb8I99RtE1wv5Yp51bJs1uOUac1BPmJ58jLQNxnDi/mcy7KhNZYi1ewXKcejcSzFnqOU4nLV0FkX32/Fw709JnkBhKCrdY7z1YpZ1VC2gVzwcJRRJAn7tmBRVyRJQtW2nCzmw/NGmWa/COPZWcvZcoFSivNleKaSguO64tH+AaM0G/SZ2L+rsqHuLFmi2C9SxmnK1BhmVUWaaJZ1zdlqOTxvkifs5RnHoxG16bgoV0ihOF/VkcFZMqtrnhweDjxgZV0PbojNcZrmCdMsDxxfZUmaJsyqkovVanjeXpGyl4f5WbYNV3VwRZ3HvNtUK2Z1xduHRyRK43046bXWclGuuFg1GOsYZwnjLLAl16bjbLUkTRIuyxWXVTk872CUsZdn7OcFi6aKGyvBeVzDeaKY1zVvHx2hIkVS1TS0xsTn1KE6M08oUs1hEcZJVEucnw72SggYj9VgRAc7t2nLssgoLCBdH+UBmIzXZnOUhzS/tjN4JZiMFOKOPN3XYi/8J3/wH/jjo4AOpDJ5w/d3XbSUwcFsDInUqMtHPHIP+Wnx12S5XVcPbTj5bRUiwrOPas7/u+csl20kjAvPVEKQp4pUKVZtN0AW9tezRJJptabpJubgdSbmAK4DFKFsNRmOx32qSoh4R31SUCSaREmWTRvzONfFFXmiSLW8oa/qQqpQ/xwZjyqTLEEMHyhY1F10Taz1jdJQK7+suxiYWx+fith3NexGgj+8bLuAm7vxHCkE40wHfTGfbdG0EYR7fd841UgpWMQPyaa+UaoGJolNfasmtHtTX3hWTIqPLuRl3cYsCoZqnkkWWWyblnCaWc+5cRbGut8FBf+0Z9WYG+OkpWAU9QkRMiuWTbdmjIj3TbIER2hLz6HWXx9nGq3WTLm9vmXT3RinREmKZM2ObJxntalPhEKHcZZEpuBuW5+I/ZNqKwPG+fVzNscp1WFH2M/NzlrK1lzTJ5lkCZ11lO22PinW/evnXK/v+jhJKch02BH2+lpjqTaKc6QIGATjNKG1oQBDIAZXQpi76oY+6xyra+2WIrAA9yD9QgTS0rq1w/OkCHniozRUfNVdANjv17COcaVErY3ecLq6Rd8oDcFOkUiO/8vf5uFXDqItU3fasp68te0MSqrgogqMWCDckJrWn06c99jGYoxjuej4n/6L//GVCt58p0tIjhZxPTvvSfW2IR78VtEXWY1P+LOz5zw6EBCPhn1kf3PQuphadrGqh3SOXqwPC3DF7c7pputpU14DXhrb6zzMqtdjgfYL+VVSdzZOhjfQZ+GqvFtfb/xuk6q1VG+AS2ydx+LfSN/8NfrK1vImOMjW+Zg/+2pIJR/v2x7z7fe7al4fdLiur7lDn3Geq019m3MNWDYR6/aN9PXv+hX6fEhZ2hrzrbkNy/puff04Va2lau/S57gsm+0/RgmpX2+ur2zNcKK6TZwn5rdvjvlaX5i7b6DPh3V819iHHGpLs8Vpt9ZnfkF9/boSieTwmh+4aUPqn5AB/D9Lt21ZKI/v4/2BHbyyMbVB+FttGT5Sxd+Bp3sHMSVDokFgCeiZdP2tyOvhSBO+osYZdNLx+LFDSht3Jjcb423crf6CHFM72clOdvKLSTCQnQml3M572vZ2mq48nqhC/rClaTuEtOF/r7RlARjnern2dXkDlLHgSG6dY1poskQPx91Vu73raEx38/dc39tsi5Bht/Aquo6d7GQnO/nlSKierVvL3lQjhSZLgy0rI6QsAN5j/q+fk8yCfbO/cQ/3xf27Hy+h6+62Za93L2z5OWVE2gkRfetdJIi8maolEBHM/NXb7FyNmOg9XlQfYzo3VLTsZCc72clnIcGdsGbeFsLHEuJAlOo7i/7giocnK75sYHqvQGvJ+8/mzD6Y8wTNydf3+fBBjrnlpC+izbuLrueN3AvBob6R9hON6TTPGaUZWkrMlaP6cUf1447yxy3LHzY0H5pb0ye0lPz2+Nf5J3u/j/YR2+COKo6d7GQnO/k04gluhUSLoWKvzxufFBnTlxVf+tPn/PtPcr74KKc8qTk+TPm7X5nwd45TqtkJ/+DfnLA3X/uclZTroGykfPd3sJXdGUirWkumFPmNJPWA6lQkmu7K4v6lI/mOHXB3rYPlgcH/U8i/om/89t2POu4dSZalJcvlrcy4O9nJTnbyy5K6cSQeRvlNe9T8yVN+67Tk2//uF/jDP3qP3/ndBzyJ3Hl//IdP+fpvHvN3/96X+KM/+JCFNfSc7iH3ZS2JllvY47fJnShjUgpSJcm0BsRQtdPFst2Vg+qDlvxfO/6dLz3gYBQe2RrHj18u+e7/eUX+lUlI3RAB6Lw2HZ8kP+V/ff4BxdjQWc9NJ8VOdrKTnfxyxIcCNLJEkSUhh7kzAXjHNB1HJ0s+//aIsmz43b/zkPE4pS0NWkt++3cehbzkRHLv82M+mTXweBKKUNqQR+6dQEiBaW0AZnqN3Ole0DLkodVdqOrpH5dqjRDRzosA09gb3HBdcm+SbDwr7JTrGGyb7HXsP5ghRY/stTO6O9nJTj4bEQSoRk/Aum66NYZI6gQPVgHM6dnPr5ACTG15+v4MYwPY+/lJhe0cT+7vMfpkhRCCOmI0b4P4c2fK2OsBb2JBwXUEDuc9l8uG8QbBWw+WrGPkLpS0rg1pdxsQDRFYAnYpYzvZyU4+OxHB6F4X7z2XsybAy6aKL33jEGc9OpF87TeP0Voixo7Pf20/GFoDbWcH6jEI9GPee1xM7L0rZey1V52LOKDRdpZNoEcRwHgTd8HDRdnx3mnJRdlyUba8WDT87PQmqtKNBigREpN3KWM72clOPiPxHtqNHWhV2YF8YXSQcjaVvPejObMXLX/yfz/l8qxhftLQNpa/+M4nvPhkxckHLT9774Lq7cmtOoQUZNndtuz1gDexNNl7QZ4kGNsO0Gjre8K1F23Fnzw9pc09MpdwaUllIIV8nQixRvzZyU52spPPQnrz4hxMshRjmrUtSwQvjzPcDy/ATQO5aOc4PSv58lHC2184wBnJTz+e8+O2Qdwf3bpbFVIMND+vkzt8uoHtVYgALZfom/gLzntqZRjfSznIUvhqQvLvjUi05MFBgTh6tQrvA8dQ07ktyp+d7GQnO/mligjY3lJC3XQkiRzwEwCSf+sRL74y5bvvn7LqoGsVX/jKEaaVLK7g/Y9W/PnTM9x/9GXEYXbj8cGWeZrGfXpiyvVDX23B9RPF/PctV/+mRexrajr8E3h63LD3e/mtv+llFfEq2zsaupOd7GQnvwzx+AGgpxchBPnfe4vz/Yx/+S/e5/PP0iHOdFIbFtOE8X/2DfS94pV2cFUGuMim/RRGN0Lc3kjmMtaj5NrNkE4kh/92yurLAdXHOof/kiYpBJPHr9/pKh3xNlP1yvt2spOd7OTTynVDCwFLRkZbJhJF/o176LemnP7wDFkHsgP1hT0mb01RB9krDa4ngJtrRWCleI38QihjgwIfCOY2CxrSiSCbapII2Nzf1//TunVV27qhniJRbGRc7GQnO9nJZyK3OTCd93RtQBmTQvJg/wFyX3DyYIJSIjCP+Gu2zHr09WIuD3mkhb+Lgv2NyoCvW8RxOiKNuJ+BITVQjUPkA4v3bdYgq1s0KSkCLZrfQqjbyU52spPPQG6BJFBiQBnL5T7/+PG3+cePfovD/DjuaoM123QZ3JZ6JmWgNoNPWQbco4xttvWr02/y9+Vjno8O+Rcv/gCSdb5awN5s0TLUNWdJDyyx3cgiSXHeIYVgrqp4z+sbupOd7GQnn05uGhkhBJMio6wb5u0F/+1f/B8AjEceJQRJKrDGR4Ldm7YsTxO89yglmVUm3vP6VtyJMua8xxrIY8DuvZOXyCbnqX+OPYhIYwOSfCy3E8F/IjZ2vYnStDY0qnMWiQjkh0IErvud0d3JTnbyGYrzHtd5VLbtc22NwRNKhPemBo8nkYFctmfZGGyZCNW4TSyOMDZwxXXGIqSgbdzdDDuvuygEtJ1HJQGHQUmw2Qn/avaCwwNBjiBR6cBqulm9JkXwf2ilB3SfAXHMe5RSNG1D11qMY5cytpOd7OQzla5zSCUx1qNVyNmVEsq6QytBkug16zfQGzMpg+1SWm0RcIZ/hgBaWTd0TaAe+9QpY86HbbY3Hq9CJUeROZTQuA5WTY1QgezNm1DkIJRgVVkSKfBp+FuPlyuUwFpH2VYsW0tqPWkqWe1s7k52spPPUAZbaiOPYmVoOs94rLE2sCXL6K91EaZRSEFZGpQUZHk0tDbaOSmw1jJfdSwrg3aOLFd09aegYLcuEK556xEyNEQBFkEbH6ykwDbQO357Qr9MhNzbwerHDmepwmER3jPSks47qtbdicyzk53sZCf/f8VH/jIpPcJ5nPOBtRxPW5sBEGfzxK2UINGSVAk64ymX28w4WapwIjx8lEraDqraBeiE18jdO93O0ziHM8FZ6yMeQ+k8mRYoBA6ojUOLgC7WST+kVjQm+G1xgVfNubg1d4AE2zga57E7lLGd7GQnn5V4cCbYmp4wwbsAytVWnlQLtIq2rHEoAVkm6TqHdx5nPXUXbZQLgDiuf5YPu17TWFrrsXegjL2Wgn0nO9nJTnbyy5UdXcNOdrKTnfwKZWd0d7KTnezkVyg7o7uTnexkJ79C2RndnexkJzv5FcrO6O5kJzvZya9QdkZ3JzvZyU5+hfL/AYrMTAHo21GhAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Episode 5: Success! Steps: 13\n",
+      "\n",
+      "Environment closed.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Visualize the trained policy\n",
+    "try:\n",
+    "    print(\"\\nVisualizing policy execution...\")\n",
+    "    def visualize_policy_execution(env, policy, episodes=5):\n",
+    "        \"\"\"Visualize the policy execution for CliffWalking.\"\"\"\n",
+    "        for episode in range(episodes):\n",
+    "            state, _ = env.reset()\n",
+    "            total_reward = 0\n",
+    "            steps = 0\n",
+    "            done = False\n",
+    "            \n",
+    "            while not done:\n",
+    "                # Render environment\n",
+    "                frame = env.render()\n",
+    "                plt.imshow(frame)\n",
+    "                plt.axis('off')\n",
+    "                plt.title(f'Episode {episode + 1}, Steps: {steps}')\n",
+    "                display.clear_output(wait=True)\n",
+    "                display.display(plt.gcf())\n",
+    "                plt.pause(0.5)\n",
+    "                \n",
+    "                action = policy[state]\n",
+    "                next_state, reward, terminated, truncated, _ = env.step(action)\n",
+    "                done = terminated or truncated\n",
+    "                \n",
+    "                state = next_state\n",
+    "                total_reward += reward\n",
+    "                steps += 1\n",
+    "            \n",
+    "            # Print result\n",
+    "            result = \"Success!\" if total_reward > -100 else \"Failed!\"\n",
+    "            print(f\"Episode {episode + 1}: {result} Steps: {steps}\")\n",
+    "            plt.close()\n",
+    "\n",
+    "    visualize_policy_execution(env, optimal_policy)\n",
+    "except Exception as e:\n",
+    "    print(f\"An error occurred: {e}\")\n",
+    "finally:\n",
+    "    env.close()\n",
+    "    print(\"\\nEnvironment closed.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4da48265-a6c4-4eaa-b9b0-92418b4e3665",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}