| <html> | |
| <head> | |
| <title>GENE_FAMILY: DBB</title> | |
| <style> | |
| body { font-family: Arial, sans-serif; } | |
| .container { border: 2px solid #ddd; margin: 20px; padding: 20px; } | |
| .header { padding: 0.6em; background-color: #ffdddd; font-weight: bold; } | |
| .title { padding: 0.6em; background-color: #80c4e6bd; font-weight: bold; } | |
| .section { padding: 10px; } | |
| .metrics { display: flex; } | |
| .metrics ul { list-style: none; padding: 0; } | |
| .metrics ul + ul { margin-left: 2em; } | |
| .confusion-matrix img, .learning-curve img { width: 100%; max-width: 565px; } | |
| .class_dist { width: 20em; } | |
| .mod_sum { margin-bottom: 2em; } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container title"> | |
| <h3>GENE_FAMILY: <a href='https://planttfdb.gao-lab.org/family.php?fam=DBB' target='_blank'>DBB</a></h3> | |
| </div> | |
| <div class="container"> | |
| <div class="header">MODEL: FEEDFORWARD_k2</div> | |
| <div style="display: flex;"> | |
| <div class="section"> | |
| <h2 class='mod_sum'>Model Architecture</h2> | |
| <pre>Model: "FEEDFORWARD_k2" | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ | |
| ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ | |
| │ dense (Dense) │ (None, 256) │ 51,456 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout (Dropout) │ (None, 256) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_1 (Dense) │ (None, 128) │ 32,896 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_1 (Dropout) │ (None, 128) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_2 (Dense) │ (None, 64) │ 8,256 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_2 (Dropout) │ (None, 64) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_3 (Dense) │ (None, 32) │ 2,080 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_3 (Dropout) │ (None, 32) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_4 (Dense) │ (None, 1) │ 33 │ | |
| └─────────────────────────────────┴────────────────────────┴───────────────┘ | |
| Total params: 284,165 (1.08 MB) | |
| Trainable params: 94,721 (370.00 KB) | |
| Non-trainable params: 0 (0.00 B) | |
| Optimizer params: 189,444 (740.02 KB) | |
| </pre> | |
| </div> | |
| <div class="section learning-curve"> | |
| <h2>Learning Curve</h2> | |
| <img src="data:image/png;base64,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" alt="Learning Curve"> | |
| </div> | |
| </div> | |
| <div style="display: flex;"> | |
| <div class="section class_dist"> | |
| <h2>Class Distribution</h2> | |
| <pre> Count Percentage | |
| class | |
| 1 1320 50.38 | |
| 0 1300 49.62</pre> | |
| <h3>Additional Metrics</h3> | |
| <ul> | |
| <li>Total Samples: 2620</li> | |
| <li>Imbalance Ratio: 1.02</li> | |
| </ul> | |
| </div> | |
| <div class="section"> | |
| <h2>Classification Report</h2> | |
| <pre> precision recall f1-score support | |
| Class 0 0.9938 0.9846 0.9892 325 | |
| Class 1 0.9850 0.9940 0.9895 331 | |
| accuracy 0.9893 656 | |
| macro avg 0.9894 0.9893 0.9893 656 | |
| weighted avg 0.9894 0.9893 0.9893 656 | |
| </pre> | |
| <h3>Metrics</h3> | |
| <div class="metrics"> | |
| <ul> | |
| <li>True Positives (TP): 329</li> | |
| <li>True Negatives (TN): 320</li> | |
| </ul> | |
| <ul> | |
| <li>False Positives (FP): 5</li> | |
| <li>False Negatives (FN): 2</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="section confusion-matrix"> | |
| <h2>Confusion Matrix</h2> | |
| <img src="data:image/png;base64,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" alt="Confusion Matrix"> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="container"> | |
| <div class="header">MODEL: FEEDFORWARD_k3</div> | |
| <div style="display: flex;"> | |
| <div class="section"> | |
| <h2 class='mod_sum'>Model Architecture</h2> | |
| <pre>Model: "FEEDFORWARD_k3" | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ | |
| ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ | |
| │ dense_5 (Dense) │ (None, 256) │ 256,256 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_4 (Dropout) │ (None, 256) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_6 (Dense) │ (None, 128) │ 32,896 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_5 (Dropout) │ (None, 128) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_7 (Dense) │ (None, 64) │ 8,256 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_6 (Dropout) │ (None, 64) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_8 (Dense) │ (None, 32) │ 2,080 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_7 (Dropout) │ (None, 32) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_9 (Dense) │ (None, 1) │ 33 │ | |
| └─────────────────────────────────┴────────────────────────┴───────────────┘ | |
| Total params: 898,565 (3.43 MB) | |
| Trainable params: 299,521 (1.14 MB) | |
| Non-trainable params: 0 (0.00 B) | |
| Optimizer params: 599,044 (2.29 MB) | |
| </pre> | |
| </div> | |
| <div class="section learning-curve"> | |
| <h2>Learning Curve</h2> | |
| <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABYHklEQVR4nO3deXwTdf7H8fckTU/aQin0kHIooFwilwqIBygIiiIoKMixwiqeIKsc66LgT0XcFVllQVkFVxeVRdBFxQMv5NAVERQBBbVQkBYoQi/okWR+f6RNm7ZAC22Tdl7PxyOPTL4zk3zy7TTzzncmiWGapikAAABYhs3fBQAAAKBmEQABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABZDAAQAALAYAiAAAIDFEAABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABZDAAQAALAYAiAAAIDFEAABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABZDAAQAALAYAiAAAIDFEAABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABZDAAQAALAYAiAAAIDFEAABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABZDAAQAALAYAiAAAIDFEAABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABZDAAQAALAYAiAAAIDFEAABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABZDAAQAALCYIH8XUJu53W7t379fkZGRMgzD3+UAAIAKME1TWVlZSkxMlM1mzbEwAuAZ2L9/v5KSkvxdBgAAOA179+5VkyZN/F2GXxAAz0BkZKQkzwYUFRXl52oAAEBFZGZmKikpybsftyIC4BkoOuwbFRVFAAQAoJax8ulb1jzwDQAAYGEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwGAIgAACAxRAAAQAALIYACAAAYDF1JgB+8cUXGjhwoBITE2UYht5+++1TrrNmzRp16dJFoaGhOvvss/X8889Xf6EAAAB+VmcCYE5Ojjp27Kh58+ZVaPnk5GQNGDBAvXr10ubNm/XnP/9Z9913n5YvX17NlQIAakJaTpq+Tv1aaTlp/i7FKxBrkgKzrkCsqS6pM78F3L9/f/Xv37/Cyz///PNq2rSp5s6dK0lq06aNvvnmG/3tb3/TkCFDqqlKVIe0nDSlZKaoaVRTxUfE+7scSYFZkxSYdQViTRJ1VUYg1rRi1wrN/HKm3KZbNsOmR7o/osGtBlNTLakrEGuqawzTNE1/F1HVDMPQW2+9pUGDBp1wmUsvvVSdOnXS3//+d2/bW2+9paFDh+rYsWNyOBxl1snLy1NeXp73dmZmppKSkpSRkaGoqKgqfQ6BaP+vW5X647dKOK+zEs/uUGOP63K7VOAukNPt9F4XTb+f/L5e/2Ke4o+4ldbApkE9xurSJpfKZbrkMl1yu91ymk65Tbenze3yTrtNt5zuEvMK21xul+/tUusVzT/Rerszd+uH9B+89XeI7aAW0S1kM2yyG3bZDbtn2mb3uW0zbAqyBRUvZyuxbNFytlL3UWq5ovVLrmO3eeZ9sfcLLV+/0NtXQ3rerkuTLpVpmnKb7uKLPNfltVe2zWW6vNOmTG9fFbX9cPgHrdm7RqZMGTLUM7GnWsW0kttd9r6L1i/dVt7jlG4rt84Sy5ZuO5J7RAVpaUo4Yiq1gaHwxCQ1Dm8sh92hIFuQHDaHHLbyp0/r2u5QkBHkM+2wO+QwHD6PuSp5lZ7835Nyyy2bbJrUdZL6Ne9X5v+jzLWrQE6z1PXJlncXnPo+C68PHjuovNT93r4yGscqMjhSpkyZpulzLam4rbDvZcp7+0TLmaZZ9nbp5Ureb+H2U5ohQ4Zh1MCrVllF9cVkmt6++j3K8GtNJesqLRD6qiSbYdOHQz6ssjcYmZmZio6Otsz+uzx1ZgSwstLS0hQXF+fTFhcXJ6fTqfT0dCUkJJRZZ9asWZo5c2ZNlRgQTNNURl6GPn9mslq9slbhpnRE0rorz1bQRZ3ldhbIXVDguXY6ZZa4Np1OmS6nzAKnTJdLpsspw+mS6XRKLpfkdElutwynS4bLLbncMgovNpdbhsuU4XbL7pLspmR3mbK7JZtbCiq87nBc6pUjGZJMuZW25AX9HL1Q+UFSvkPKD5IKgjzXnotRfNtRsr3U/BLzipZ32Sv+YljyRX6rtmpr+taKdLYcTim41MXbVmCWbXNKwQVSsNM8wTqeeQ6n1ClL6pNd3FcH/j1fO+svKPM8vX1jl/IdxgnnFwQZ5fSfZ57LJqmCO4+SfbVO67Ru/7oK9VWQy7cPHK6i51uqPwqkUJ8+M8vpI9/5MVlSw6yivpIORO9WevQe334otX3lBRnKKmd+0Xbl7Te77zynveJ95dtfpv72zd/0t2/+VuF1K8owTc//Xan/N3s5l14/ujV4gymbKbkN6c2eB/XVeely2VR8sXuu3Ybn+bptktMmmUblnntllQ5bRUHxZOwus9z/MUfp7arc7aec/1HvfFMNs6TYzOLt6mCUdDi61OuSz/9YiW2n3G3L93+woNS65mltVxXvq+rmW5Nbe7P2BswIc11g2QAoqcy7m6KN/UTveqZNm6ZJkyZ5bxeNANZmrmPH9Pu+X3Qw5Ucd+e0X5exPUd6BNJmHfpfj9yyFH81V/Uy3znUVr2OT1OHjX6WPf/Vb3eUxJCUclRKOnuxF6/Rf0FzGiUJl8QtxgUNqkGWq1f7iF/mfE6Sj9QyfMFZmJ1J4qSmGpPgMKT7jVP1xev3lNsoGQ9+dl6e/YrJMtUwt21dldralAp7DWXMnMFd7X6nUjrtUQCwZDhpmmTp3X3F/7UyUDtU3fAJZcVArDnGeN1Aqs1xQeQHPdfp9azOloetMDV3nOvXChTwB0ZDbJrlsJa7tkttmyG0zvPPddsPb5rYbhct5LmbhcqbNkNNmKuxAhtrsLe6r5DjJWb+egp1SUIFbQU63ggpMOQrchbc907ayA4fVwpAUl+m5nHzbOf3XLKfdkNNhqMBhk9NhkzOoxLTDkDPIpvwgyXE4U61LvGb90FTKOStGNsM/HxNwm25F/Pa72qcU17RwgF1JN9bu/W2gsWwAjI+PV1qa74mlBw8eVFBQkBo2bFjuOiEhIQoJCamJ8s6YWVAgZ3q6Cg4c0JF9v+rIvl+UnZqi/ANpch9KV9DhTIVn5CrsuOfVziapYeEl0BXtAExDchTU0Ku1PDvRsHzPpazyX6QNSa1STzy/ppiFtdQUmymFFnguJ67IV6D0VU2zSQpxei7KLW+JE29b5+6Xzt1fu/urKKx6VM9zMSSdfUDSgexquf9AFeQyFeQyFZpb8ddJQ1KHFEkpv1dbXZVlSLr9A7caTpYU4e9q6g7LBsDu3bvrnXfe8Wn76KOP1LVr13LP/6tpBWlpyt+9R8HNm8kRXzzkbbrdch05IueBAyo4eFDOAweVmbpHWb/tVl6JcBeSlSujxGupXVL0adRxLNSm4/UciknP8wkQbkmHr++usAaNZAQFye4Ili3IIZvD4Z0OcoTI5nAoKChEdkewghwhCgoO8d62ORwygoJkBAVJdrt32rDbJZ9ph4wge3F74QhtQVqadl3RW0aJwxSmzdA5770ne/36MnNz5c7NlZmfXzidJzMvV+68PJlF07l5MvPy5M7LLW4rnF/cllfYlutpyyu8v8I2M7/cRHhiNpuM0FDZQkKKr0NCZISGyBYSWngdIsM7HSojJES2UE9b0XXZthLToaEygoNlCw2VERoq5+HD+rl3n7J9tWqV7NHRZfrIzMsr7q8q6CN3nmcZM7fchHNihuHTV0ZIcGEfnW6/le7Dwj4q0W/O338vv6/ef19B9euX6JfC55lXhf1Wqk1VdQjO4ZBh9/wPGUFBpf6/TjRtlxHk8F3HO22XYQ+SmZ+vjPfe83ltMCVF9b9atuBgmU6X5/QPZ4FUetrpOTVETme506bLKRWdPuJ0eua5PKeNVAUjOLjKti0jNMSzHQWHeLej4vvwTDuPHNEvV/X1rd9m0zkffCB7g/qltp2S21bRdlVqe8vNlZl/ku0tN1fuov/rUtuWnDV4uKGKGG5T+XtSfPaHODN1JgBmZ2fr559/9t5OTk7Wli1bFBMTo6ZNm2ratGn67bff9Morr0iSxo8fr3nz5mnSpEn64x//qC+//FIvvfSSXn/9dX89Ba8Ds5/S7y+/7H3xt5/XSgU2U+5D6bL9nimbq+wLoF1SeCUeIy9IOhJp6Fj9EBU0iJQaxSg4Ll7hCU3U4Kxz1LjZeWqU1FpB4Z63W5/848+Km/eW7KbnUOiBe25Qn7ufOPMnewYc8fFK/L9HlfrwI54XVZtNiY/OVEiLFjVah+l2ewNU/t692j3s5jIv8s3fXKbgpk09OwU/vMEITkgov6+aN6/ROkzT9O2rocPK9tWy/3j7Sg5HjZ+IfsK+atZMkmQ/nXdSp8E0TZkFBd7gnL9vn/YMH+EbCm02Nfv3q3IkJHjeRJUIekWhTzZbtfZhRPeLy/RV/RtvrLbHM91ubxg0CwOjvNMuyVmgggMHlDLmD2X6qsXbbym4aVNP+LPV7OHN4PBwJTw606evEh6dqeCmhYc1IyNrrBbT6fQExvw8Fezdq90331Kmr5osWKCgExwNq27Ow4e1b/z4MjUFN2vql3rqqjrzKeDPP/9cV1xxRZn20aNH6+WXX9aYMWO0e/duff755955a9as0f33369t27YpMTFRU6ZM0fjx4yv8mNXxKaL81FT9fEXv0z5c57RJR+tJv9eTMiPtyo+JlBnbQMGN4xSemKT6Z7VQo6bnKjG+lRqGNazUOR77f92qtJ82K/7cTjX6KeBTKUhLU/6eFAU3axoQ7w6PvvlmmRf56twhVgZ9VXGB1ldS4PYXfVVx9FVg1MSngOtQAPSH6tiA9n7+vrLHTyp33tFw6Uik9Hs9Q0cipawoh8zYGDkaN1JYQhM1OOtsNUo8R4mRTZRYL1ExoTF+/XoBKwvEF/lARV9VDv1VcfRVxQViX1VnTQTAOnQIuK5IizEULt9P4bkM6Y0Zl6hV+0uUWC9RnSISlVgvUfVD6hPwApQjPj5gXkQDHX1VOfRXxdFXFReIfRWINdUlBMAAk3TOBXpygF3j3nd5z7d7sb9dU6/9P77/CAAAVAkCYICJj4jXpXc+qnvPnqHGv7t0MMaue/vNIPwBAIAqQwAMQINbDVaPxB7am7VXSZFJhD8AAFClCIABKj4inuAHAACqhX9+5wUAAAB+QwAEAACwGAIgAACAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwGAIgAACAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwGAIgAACAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwGAIgAACAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwGAIgAACAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwGAIgAACAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwGAIgAACAxdSpADh//ny1aNFCoaGh6tKli9auXXvS5ZcsWaKOHTsqPDxcCQkJ+sMf/qDDhw/XULUAAAD+UWcC4NKlSzVx4kQ99NBD2rx5s3r16qX+/fsrJSWl3OXXrVunUaNGaezYsdq2bZuWLVumjRs3aty4cTVcOQAAQM2qMwFwzpw5Gjt2rMaNG6c2bdpo7ty5SkpK0oIFC8pd/quvvlLz5s113333qUWLFrrkkkt0xx136JtvvqnhygEAAGpWnQiA+fn52rRpk/r27evT3rdvX23YsKHcdXr06KF9+/Zp1apVMk1TBw4c0JtvvqlrrrmmJkoGAADwmzoRANPT0+VyuRQXF+fTHhcXp7S0tHLX6dGjh5YsWaJhw4YpODhY8fHxql+/vp577rkTPk5eXp4yMzN9LgAAALVNnQiARQzD8LltmmaZtiLbt2/Xfffdp4cfflibNm3SBx98oOTkZI0fP/6E9z9r1ixFR0d7L0lJSVVaPwAAQE0wTNM0/V3EmcrPz1d4eLiWLVumG264wds+YcIEbdmyRWvWrCmzzsiRI5Wbm6tly5Z529atW6devXpp//79SkhIKLNOXl6e8vLyvLczMzOVlJSkjIwMRUVFVfGzAgAA1SEzM1PR0dGW3n/XiRHA4OBgdenSRatXr/ZpX716tXr06FHuOseOHZPN5vv07Xa7JM/IYXlCQkIUFRXlcwEAAKht6kQAlKRJkybpxRdf1KJFi7Rjxw7df//9SklJ8R7SnTZtmkaNGuVdfuDAgVqxYoUWLFigX3/9VevXr9d9992nCy+8UImJif56GgAAANUuyN8FVJVhw4bp8OHDevTRR5Wamqr27dtr1apVatasmSQpNTXV5zsBx4wZo6ysLM2bN09/+tOfVL9+ffXu3VuzZ8/211MAAACoEXXiHEB/4RwCAABqH/bfdegQMAAAACqGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACwmyN8FAABQGS6XSwUFBf4uAwHM4XDIbrf7u4yARgAEANQKpmkqLS1NR48e9XcpqAXq16+v+Ph4GYbh71ICEgEQAFArFIW/xo0bKzw8nB07ymWapo4dO6aDBw9KkhISEvxcUWAiAAIAAp7L5fKGv4YNG/q7HAS4sLAwSdLBgwfVuHFjDgeXgw+BAAACXtE5f+Hh4X6uBLVF0bbC+aLlIwACAGoNDvuiothWTo4ACAAAYDF1KgDOnz9fLVq0UGhoqLp06aK1a9eedPm8vDw99NBDatasmUJCQnTOOedo0aJFNVQtAMAKLr/8ck2cONHfZQA+6syHQJYuXaqJEydq/vz56tmzp1544QX1799f27dvV9OmTctdZ+jQoTpw4IBeeukltWzZUgcPHpTT6azhygEAAGpWnQmAc+bM0dixYzVu3DhJ0ty5c/Xhhx9qwYIFmjVrVpnlP/jgA61Zs0a//vqrYmJiJEnNmzevyZIBAAD8ok4cAs7Pz9emTZvUt29fn/a+fftqw4YN5a6zcuVKde3aVU899ZTOOusstW7dWg888ICOHz9eEyUDAPwoNeO4NvySrtSMmn3NP3LkiEaNGqUGDRooPDxc/fv3165du7zz9+zZo4EDB6pBgwaKiIhQu3bttGrVKu+6I0aMUKNGjRQWFqZWrVpp8eLFNVo/6o46MQKYnp4ul8uluLg4n/a4uDilpaWVu86vv/6qdevWKTQ0VG+99ZbS09N111136ffffz/heYB5eXnKy8vz3s7MzKy6JwEAqBFLN6Zo2oqtcpuSzZBmDe6gYd3KP1Woqo0ZM0a7du3SypUrFRUVpSlTpmjAgAHavn27HA6H7r77buXn5+uLL75QRESEtm/frnr16kmSpk+fru3bt+v9999XbGysfv75ZwYtcNrqRAAsUvoj36ZpnvBj4G63W4ZhaMmSJYqOjpbkOYx844036h//+If3SyRLmjVrlmbOnFn1hQMATsvA59bpUFbeqRcs5HKbOpRdvLzblKYs36q/fbhTdlvFvzakUWSI3rn3kkrVWhT81q9frx49ekiSlixZoqSkJL399tu66aablJKSoiFDhqhDhw6SpLPPPtu7fkpKijp16qSuXbtK4rQlnJk6EQBjY2Nlt9vLjPYdPHiwzKhgkYSEBJ111lne8CdJbdq0kWma2rdvn1q1alVmnWnTpmnSpEne25mZmUpKSqqiZwEAqKxDWXlKy8w98/vJrniIPF07duxQUFCQLrroIm9bw4YNde6552rHjh2SpPvuu0933nmnPvroI1155ZUaMmSIzj//fEnSnXfeqSFDhujbb79V3759NWjQIG+QBCqrTpwDGBwcrC5dumj16tU+7atXrz7hP0fPnj21f/9+ZWdne9t27twpm82mJk2alLtOSEiIoqKifC4AAP9pFBmi+KjQCl8a1Qsp/37qVfJ+Isu/n5MxTfOE7UVHq8aNG6dff/1VI0eO1NatW9W1a1c999xzkqT+/ftrz549mjhxovbv368+ffrogQceqHQdgCTJrCPeeOMN0+FwmC+99JK5fft2c+LEiWZERIS5e/du0zRNc+rUqebIkSO9y2dlZZlNmjQxb7zxRnPbtm3mmjVrzFatWpnjxo2r8GNmZGSYksyMjIwqfz4AgGLHjx83t2/fbh4/fvyM7+uNr/eYZ099z2w25V3z7KnvmW98vacKKjyxyy67zJwwYYK5c+dOU5K5fv1677z09HQzLCzMXLZsWbnrTp061ezQoUO5855//nkzMjKyWmquC062zbD/Ns06cQhYkoYNG6bDhw/r0UcfVWpqqtq3b69Vq1apWbNmkqTU1FSlpKR4l69Xr55Wr16te++9V127dlXDhg01dOhQPfbYY/56CgCAGjCsW1Nd2rqRdqcfU/PYcCVElz3nuzq0atVK119/vf74xz/qhRdeUGRkpKZOnaqzzjpL119/vSRp4sSJ6t+/v1q3bq0jR47o008/VZs2bSRJDz/8sLp06aJ27dopLy9P7777rnceUFl1JgBK0l133aW77rqr3Hkvv/xymbbzzjuvzGFjAEDdlxAdVmPBr6TFixdrwoQJuvbaa5Wfn69LL71Uq1atksPhkCS5XC7dfffd2rdvn6KionT11VfrmWeekeQ53WnatGnavXu3wsLC1KtXL73xxhs1/hxQNximeYKTEnBKmZmZio6OVkZGBucDAkA1ys3NVXJysvfnPoFTOdk2w/67jnwIBAAAABVHAAQAALAYAiAAAIDFEAABAAAshgAIAABgMQRAAAAAiyEAAgAAWAwBEAAAwGIIgAAAABbj9wDodDr18ccf64UXXlBWVpYkaf/+/crOzvZzZQAA+F/z5s01d+7cCi1rGIbefvvtaq0HdYNffwt4z549uvrqq5WSkqK8vDxdddVVioyM1FNPPaXc3Fw9//zz/iwPAACgTvLrCOCECRPUtWtXHTlyRGFhxT/KfcMNN+iTTz7xY2UAAAB1l18D4Lp16/SXv/xFwcHBPu3NmjXTb7/95qeqAAB1XsZvUvIXnutq9MILL+iss86S2+32ab/uuus0evRo/fLLL7r++usVFxenevXqqVu3bvr444+r7PG3bt2q3r17KywsTA0bNtTtt9/uc4rV559/rgsvvFARERGqX7++evbsqT179kiSvvvuO11xxRWKjIxUVFSUunTpom+++abKaoN/+TUAut1uuVyuMu379u1TZGSkHyoCANR5374izW0v/Wug5/rbV6rtoW666Salp6frs88+87YdOXJEH374oUaMGKHs7GwNGDBAH3/8sTZv3qx+/fpp4MCBSklJOePHPnbsmK6++mo1aNBAGzdu1LJly/Txxx/rnnvukeQ5B3/QoEG67LLL9P333+vLL7/U7bffLsMwJEkjRoxQkyZNtHHjRm3atElTp06Vw+E447oQGPx6DuBVV12luXPnauHChZI8J69mZ2frkUce0YABA/xZGgCgNnjhMin7YMWXd7uknAPFt023tPJe6ZPHJJu94vdTr7F0x5pTLhYTE6Orr75ar732mvr06SNJWrZsmWJiYtSnTx/Z7XZ17NjRu/xjjz2mt956SytXrvQGtdO1ZMkSHT9+XK+88ooiIiIkSfPmzdPAgQM1e/ZsORwOZWRk6Nprr9U555wjSWrTpo13/ZSUFD344IM677zzJEmtWrU6o3oQWPwaAJ955hldccUVatu2rXJzczV8+HDt2rVLsbGxev311/1ZGgCgNsg+KGXtP/P7KRkKq9iIESN0++23a/78+QoJCdGSJUt08803y263KycnRzNnztS7776r/fv3y+l06vjx41UyArhjxw517NjRG/4kqWfPnnK73frpp5906aWXasyYMerXr5+uuuoqXXnllRo6dKgSEhIkSZMmTdK4ceP06quv6sorr9RNN93kDYqo/fx6CDgxMVFbtmzRAw88oDvuuEOdOnXSk08+qc2bN6tx48b+LA0AUBvUayxFJlb8EhFX/v1ExFXufupVfB81cOBAud1uvffee9q7d6/Wrl2rW2+9VZL04IMPavny5Xr88ce1du1abdmyRR06dFB+fv4Zd41pmt7DuaUVtS9evFhffvmlevTooaVLl6p169b66quvJEkzZszQtm3bdM011+jTTz9V27Zt9dZbb51xXQgMfh0BlKSwsDDddtttuu222/xdCgCgtqnAYdgyvn1FemeiZLokwy4NnCt1HlXVlXmFhYVp8ODBWrJkiX7++We1bt1aXbp0kSStXbtWY8aM0Q033CBJys7O1u7du6vkcdu2bat//etfysnJ8Y4Crl+/XjabTa1bt/Yu16lTJ3Xq1EnTpk1T9+7d9dprr+niiy+WJLVu3VqtW7fW/fffr1tuuUWLFy/21oraza8B8JVXTn7i7ahR1fcPCQCwqM6jpHP6SL//KsWcLUWfVe0POWLECA0cOFDbtm3zjv5JUsuWLbVixQoNHDhQhmFo+vTpZT4xfCaP+cgjj2j06NGaMWOGDh06pHvvvVcjR45UXFyckpOTtXDhQl133XVKTEzUTz/9pJ07d2rUqFE6fvy4HnzwQd14441q0aKF9u3bp40bN2rIkCFVUhv8z68BcMKECT63CwoKdOzYMQUHBys8PJwACACoHtFn1UjwK9K7d2/FxMTop59+0vDhw73tzzzzjG677Tb16NFDsbGxmjJlijIzM6vkMcPDw/Xhhx9qwoQJ6tatm8LDwzVkyBDNmTPHO//HH3/Uv/71Lx0+fFgJCQm65557dMcdd8jpdOrw4cMaNWqUDhw4oNjYWA0ePFgzZ86sktrgf4Zpmqa/iyhp165duvPOO/Xggw+qX79+/i7npDIzMxUdHa2MjAxFRUX5uxwAqLNyc3OVnJysFi1aKDQ01N/loBY42TbD/jsAfgu4tFatWunJJ58sMzoIAACAqhFwAVCS7Ha79u+vgo/1AwBQRyxZskT16tUr99KuXTt/l4daxq/nAK5cudLntmmaSk1N1bx589SzZ08/VQUAQOC57rrrdNFFF5U7j1/oQGX5NQAOGjTI57ZhGGrUqJF69+6tp59+2j9FAQAQgCIjI/mZVFQZvwbAqvqoOwAAACouIM8BBAAAQPWp8RHASZMmVXjZou8qAgAAQNWp8QC4efPmCi13ot8vBAAAwJmp8QD42Wef1fRDAgAAoATOAQQAALAYv34KWJI2btyoZcuWKSUlRfn5+T7zVqxY4aeqAAAA6i6/jgC+8cYb6tmzp7Zv36633npLBQUF2r59uz799FNFR0f7szQAAOqsgoICf5cAP/NrAHziiSf0zDPP6N1331VwcLD+/ve/a8eOHRo6dKiaNm3qz9IAAHVYWk6avk79Wmk5aTXyeB988IEuueQS1a9fXw0bNtS1116rX375xTt/3759uvnmmxUTE6OIiAh17dpV//vf/7zzV65cqa5duyo0NFSxsbEaPHiwd55hGHr77bd9Hq9+/fp6+eWXJUm7d++WYRj6z3/+o8svv1yhoaH697//rcOHD+uWW25RkyZNFB4erg4dOuj111/3uR+3263Zs2erZcuWCgkJUdOmTfX4449Lknr37q177rnHZ/nDhw8rJCREn376aVV0G6qRXwPgL7/8omuuuUaSFBISopycHBmGofvvv18LFy70Z2kAgDpqxa4V6re8n8Z+NFb9lvfTil3Vf7pRTk6OJk2apI0bN+qTTz6RzWbTDTfcILfbrezsbF122WXav3+/Vq5cqe+++06TJ0/2/ljCe++9p8GDB+uaa67R5s2b9cknn6hr166VrmHKlCm67777tGPHDvXr10+5ubnq0qWL3n33Xf3www+6/fbbNXLkSJ/gOW3aNM2ePVvTp0/X9u3b9dprrykuLk6SNG7cOL322mvKy8vzLr9kyRIlJibqiiuuOMMeQ3Xz6zmAMTExysrKkiSdddZZ+uGHH9ShQwcdPXpUx44d82dpAIBaYNi7w5R+PL3Cy7vcLh3OPey97TbdemTDI3r222dlt9krfD+xYbFaeu3SCi8/ZMgQn9svvfSSGjdurO3bt2vDhg06dOiQNm7cqJiYGElSy5Ytvcs+/vjjuvnmmzVz5kxvW8eOHSv82EUmTpzoM3IoSQ888IB3+t5779UHH3ygZcuW6aKLLlJWVpb+/ve/a968eRo9erQk6ZxzztEll1zifU733nuv/vvf/2ro0KGSpMWLF2vMmDF8lVst4JcAuGXLFl1wwQXq1auXVq9erQ4dOmjo0KGaMGGCPv30U61evVp9+vTxR2kAgFok/Xi6Dh47eMb3UzIUVodffvlF06dP11dffaX09HTv6F5KSoq2bNmiTp06ecNfaVu2bNEf//jHM66h9Kihy+XSk08+qaVLl+q3335TXl6e8vLyFBERIUnasWOH8vLyTrg/DgkJ0a233qpFixZp6NCh2rJli7777rsyh6MRmPwSADt37qxOnTpp0KBBuuWWWyR5hpkdDofWrVunwYMHa/r06f4oDQBQi8SGxVZq+dIjgEUahjas9AhgZQwcOFBJSUn65z//qcTERLndbrVv3175+fkKCws76bqnmm8YhkzT9Gkr70MeRcGuyNNPP61nnnlGc+fOVYcOHRQREaGJEyd6v5HjVI8reQ4DX3DBBdq3b58WLVqkPn36qFmzZqdcD/7nlwC4fv16LVq0SH/72980a9YsDR48WGPHjtXkyZM1efJkf5QEAKiFKnMYtsiKXSs088uZcptu2QybHun+iAa3GnzqFU/T4cOHtWPHDr3wwgvq1auXJGndunXe+eeff75efPFF/f777+WOAp5//vn65JNP9Ic//KHc+2/UqJFSU1O9t3ft2lWh06jWrl2r66+/Xrfeeqskzwc+du3apTZt2kiSWrVqpbCwMH3yyScaN25cuffRoUMHde3aVf/85z/12muv6bnnnjvl4yIw+CUAdu/eXd27d9ezzz6r//znP1q8eLGuvPJKNW/eXLfddptGjx6tJk2a+KM0AEAdN7jVYPVI7KG9WXuVFJmk+Ij4an28Bg0aqGHDhlq4cKESEhKUkpKiqVOneuffcssteuKJJzRo0CDNmjVLCQkJ2rx5sxITE9W9e3c98sgj6tOnj8455xzdfPPNcjqdev/9970DJr1799a8efN08cUXy+12a8qUKXI4HKesq2XLllq+fLk2bNigBg0aaM6cOUpLS/MGwNDQUE2ZMkWTJ09WcHCwevbsqUOHDmnbtm0aO3as937GjRune+65R+Hh4brhhhuquPdQXfz6KeCwsDCNHj1an3/+uXbu3KlbbrlFL7zwglq0aKEBAwb4szQAQB0WHxGvbvHdqj38SZLNZtMbb7yhTZs2qX379rr//vv117/+1Ts/ODhYH330kRo3bqwBAwaoQ4cOevLJJ2W3ew5JX3755Vq2bJlWrlypCy64QL179/b5pO7TTz+tpKQkXXrppRo+fLgeeOABhYeHn7Ku6dOnq3PnzurXr58uv/xyxcfHa9CgQWWW+dOf/qSHH35Ybdq00bBhw3TwoO85l7fccouCgoI0fPhwhYaGnkFPoSYZZukTB/woOztbS5Ys0Z///GcdPXpULpfL3yWdVGZmpqKjo5WRkaGoqCh/lwMAdVZubq6Sk5PVokULQkaA2bt3r5o3b66NGzeqc+fO/i7H62TbDPvvAPgpOElas2aNFi1apOXLl8tut2vo0KE+w8sAACCwFBQUKDU1VVOnTtXFF18cUOEPp+a3ALh37169/PLLevnll5WcnKwePXroueee09ChQ8t8UgkAAASW9evX64orrlDr1q315ptv+rscVJJfAuBVV12lzz77TI0aNdKoUaN022236dxzz/VHKQAA4DRcfvnlZb5+BrWHXwJgWFiYli9frmuvvdZ7kisAAABqhl8C4MqVK/3xsAAAAJCfvwYGAAAANY8ACAAAYDEEQAAAAIshAAIAAFgMARAAgADWvHlzzZ07199loI4hAAIAAFgMARAAAFQLl8slt9vt7zJQDgIgAMByCtLSlPPV/1SQllatj/PCCy/orLPOKhOCrrvuOo0ePVq//PKLrr/+esXFxalevXrq1q2bPv7449N+vDlz5qhDhw6KiIhQUlKS7rrrLmVnZ/sss379el122WUKDw9XgwYN1K9fPx05ckSS5Ha7NXv2bLVs2VIhISFq2rSpHn/8cUnS559/LsMwdPToUe99bdmyRYZhaPfu3ZKkl19+WfXr19e7776rtm3bKiQkRHv27NHGjRt11VVXKTY2VtHR0brsssv07bff+tR19OhR3X777YqLi1NoaKjat2+vd999Vzk5OYqKiirzc3PvvPOOIiIilJWVddr9ZWUEQACApRx980393LuPUsaM0c+9++hoNf6O7U033aT09HR99tln3rYjR47oww8/1IgRI5Sdna0BAwbo448/1ubNm9WvXz8NHDhQKSkpp/V4NptNzz77rH744Qf961//0qeffqrJkyd752/ZskV9+vRRu3bt9OWXX2rdunUaOHCgXC6XJGnatGmaPXu2pk+fru3bt+u1115TXFxcpWo4duyYZs2apRdffFHbtm1T48aNlZWVpdGjR2vt2rX66quv1KpVKw0YMMAb3txut/r3768NGzbo3//+t7Zv364nn3xSdrtdERERuvnmm7V48WKfx1m8eLFuvPFGRUZGnlZfWZ1h1qEf8ps/f77++te/KjU1Ve3atdPcuXPVq1evU65X9G6offv22rJlS4UfLzMzU9HR0crIyFBUVNQZVA4AOJnc3FwlJyerRYsWCg0N9bYnD7lRzvT0Ct+P6XLJVc7y9thYGZX4adKg2Fi1WF6x4Hj99dcrNjZWL730kiRp4cKFeuSRR7Rv375yfw61Xbt2uvPOO3XPPfdI8nwIZOLEiZo4cWKF6yuybNky3XnnnUovfM7Dhw9XSkqK1q1bV2bZrKwsNWrUSPPmzdO4cePKzP/88891xRVX6MiRI6pfv74kT6Ds1KmTkpOT1bx5c7388sv6wx/+oC1btqhjx44nrMvlcqlBgwZ67bXXdO211+qjjz5S//79tWPHDrVu3brM8l9//bV69OihlJQUJSYmKj09XYmJiVq9erUuu+yych/jRNuMxP5bqkMjgEuXLtXEiRP10EMPafPmzerVq5f69+9/yndRGRkZGjVqlPr06VNDlQIAqoozPV3OAwcqfCkv/EmSq5L3U5nQOWLECC1fvlx5eXmSpCVLlujmm2+W3W5XTk6OJk+erLZt26p+/fqqV6+efvzxx9MeAfzss8901VVX6ayzzlJkZKRGjRqlw4cPKycnR1LxCGB5duzYoby8vDPeHwYHB+v888/3aTt48KDGjx+v1q1bKzo6WtHR0crOzvY+zy1btqhJkyblhj9JuvDCC9WuXTu98sorkqRXX31VTZs21aWXXnpGtVqZX34LuDrMmTNHY8eO9b5rmTt3rj788EMtWLBAs2bNOuF6d9xxh4YPHy673a633367hqoFAFSFoNjYSi1flSOAFTVw4EC53W6999576tatm9auXas5c+ZIkh588EF9+OGH+tvf/qaWLVsqLCxMN954o/Lz8yt8/0X27NmjAQMGaPz48fq///s/xcTEaN26dRo7dqwKCgokSWFhYSdc/2TzJM/hZUkqeeCw6H5L349hGD5tY8aM0aFDhzR37lw1a9ZMISEh6t69u/d5nuqxJWncuHGaN2+epk6dqsWLF+sPf/hDmcdBxdWJAJifn69NmzZp6tSpPu19+/bVhg0bTrje4sWL9csvv+jf//63HnvssVM+Tl5envcdnOQZQgYA+E9FD8OWdPTNN5X68COS2y3ZbEp4dKbq33hjNVTnERYWpsGDB2vJkiX6+eef1bp1a3Xp0kWStHbtWo0ZM0Y33HCDJCk7O9v7gYrK+uabb+R0OvX00097w9p//vMfn2XOP/98ffLJJ5o5c2aZ9Vu1aqWwsDB98skn5R4CbtSokSQpNTVVDRo0kKQKnza1du1azZ8/XwMGDJAk7d2713tYuqiuffv2aefOnSccBbz11ls1efJkPfvss9q2bZtGjx5docdG+epEAExPT5fL5SpzompcXJzSTvAJr127dmnq1Klau3atgoIq1g2zZs0q958GAFB71L/xRkVccony96QouFlTOeLjq/0xR4wYoYEDB2rbtm269dZbve0tW7bUihUrNHDgQBmGoenTp5/216acc845cjqdeu655zRw4ECtX79ezz//vM8y06ZNU4cOHXTXXXdp/PjxCg4O1meffaabbrpJsbGxmjJliiZPnqzg4GD17NlThw4d0rZt2zR27Fi1bNlSSUlJmjFjhh577DHt2rVLTz/9dIVqa9mypV599VV17dpVmZmZevDBB31G/S677DJdeumlGjJkiObMmaOWLVvqxx9/lGEYuvrqqyVJDRo00ODBg/Xggw+qb9++atKkyWn1EzzqzDmAksoMBZumWe7wsMvl0vDhwzVz5swTvtMoz7Rp05SRkeG97N2794xrBgDUPEd8vCIuurBGwp8k9e7dWzExMfrpp580fPhwb/szzzyjBg0aqEePHho4cKD69eunzp07n9ZjXHDBBZozZ45mz56t9u3ba8mSJWVOgWrdurU++ugjfffdd7rwwgvVvXt3/fe///UOhEyfPl1/+tOf9PDDD6tNmzYaNmyYDh48KElyOBx6/fXX9eOPP6pjx46aPXt2hY6eSdKiRYt05MgRderUSSNHjtR9992nxo0b+yyzfPlydevWTbfccovatm2ryZMnez+dXGTs2LHKz8/Xbbfddlp9hGJ14lPA+fn5Cg8P17Jly7zD6JI0YcIEbdmyRWvWrPFZ/ujRo2rQoIHPp6/cbrdM05TdbtdHH32k3r17n/Jx+RQRANSMk32iE9axZMkSTZgwQfv371dwcPBJl+VTwCdXJw4BBwcHq0uXLlq9erVPAFy9erWuv/76MstHRUVp69atPm3z58/Xp59+qjfffFMtWrSo9poBAEDFHDt2TMnJyZo1a5buuOOOU4Y/nFqdOQQ8adIkvfjii1q0aJF27Nih+++/XykpKRo/frwkz+HbUaNGSfJ8kql9+/Y+l8aNG3u/eTwiIsKfTwUAgDKWLFmievXqlXtp166dv8urVk899ZQuuOACxcXFadq0af4up06oEyOAkjRs2DAdPnxYjz76qFJTU9W+fXutWrVKzZo1k+T51NLpfq8SAAD+dt111+miiy4qd57D4ajhamrWjBkzNGPGDH+XUafUiXMA/YVzCACgZnAOICqLcwBPrs4cAgYAAEDFEAABALUGB61QUWwrJ0cABAAEvKJz3I4dO+bnSlBbFG0rdf38yNNVZz4EAgCou+x2u+rXr+/9UuLw8HB+BxblMk1Tx44d08GDB1W/fn2f7/xFMQIgAKBWiC/81Y6iEAicTP369b3bDMoiAAIAagXDMJSQkKDGjRuroKDA3+UggDkcDkb+ToEACACoVex2Ozt34AzxIRAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLqVMBcP78+WrRooVCQ0PVpUsXrV279oTLrlixQldddZUaNWqkqKgode/eXR9++GENVgsAAOAfdSYALl26VBMnTtRDDz2kzZs3q1evXurfv79SUlLKXf6LL77QVVddpVWrVmnTpk264oorNHDgQG3evLmGKwcAAKhZhmmapr+LqAoXXXSROnfurAULFnjb2rRpo0GDBmnWrFkVuo927dpp2LBhevjhhyu0fGZmpqKjo5WRkaGoqKjTqhsAANQs9t91ZAQwPz9fmzZtUt++fX3a+/btqw0bNlToPtxut7KyshQTE1MdJQIAAASMIH8XUBXS09PlcrkUFxfn0x4XF6e0tLQK3cfTTz+tnJwcDR069ITL5OXlKS8vz3s7MzPz9AoGAADwozoxAljEMAyf26Zplmkrz+uvv64ZM2Zo6dKlaty48QmXmzVrlqKjo72XpKSkM64ZAACgptWJABgbGyu73V5mtO/gwYNlRgVLW7p0qcaOHav//Oc/uvLKK0+67LRp05SRkeG97N2794xrBwAAqGl1IgAGBwerS5cuWr16tU/76tWr1aNHjxOu9/rrr2vMmDF67bXXdM0115zycUJCQhQVFeVzAQAAqG3qxDmAkjRp0iSNHDlSXbt2Vffu3bVw4UKlpKRo/Pjxkjyjd7/99pteeeUVSZ7wN2rUKP3973/XxRdf7B09DAsLU3R0tN+eBwAAQHWrMwFw2LBhOnz4sB599FGlpqaqffv2WrVqlZo1ayZJSk1N9flOwBdeeEFOp1N333237r77bm/76NGj9fLLL9d0+QAAADWmznwPoD/wPUIAANQ+7L/ryDmAAAAAqDgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAANUasZxbfglXakZx/1dCgAAqGOC/F0Ayvr3V3s0/e0fZEqyGdKswR00rFtTf5cFAADqCEYAA0zyoRz9pTD8SZLblP684gdGAgEAQJUhAAaYLXuPlGlzmaZ2px/zQzUAAKAuIgAGmIvPaSibUba9UWRIzRcDAADqJAJggEmIDtOswR3KhMBpK75XTp7TP0UBAIA6hQAYgIZ1a6r1U3tr1uD2igz1fE5n4+4juu3ljTqWTwgEAABnhgAYoBKiw3TLhc30+h8vVlRhCPxf8u8a969vdDzf5efqAABAbUYADHDtz4rWq2MvUmSIJwRu+OWwbn/1G+UWEAIBAMDpIQDWAh2T6utfYy9UvcIQuHZXuu54dZPynIRAAABQeQTAWqJz0wb6123dFBFslySt2XlId/77W0IgAACoNAJgLdKlWYwW/+FChTk8IfDTHw/qntc2K9/p9nNlAACgNiEA1jIXtojRojHdFOrw/OlWbz+g+17frAIXIRAAAFQMAbAW6n5OQ700uptCgjx/vg+2pWniG1vkJAQCAIAKIADWUj1bxurF0V0VXBgC39uaqvv/8x0hEAAAnBIBsBbr1aqRFo7somC758/4znf79eCb38vlNv1cGQAACGQEwFru8nMb6/mRneWwe3477q3Nv2nym9/LTQgEAAAnQACsA3qfF6f5I7ooqPAHhJd/u0/TVmwlBAIAgHIRAOuIq9rGad7wzrIXhsCl3+zVQ2//QAgEAABlEADrkKvbx+vZmzt5Q+DrX6fokZXbZJqEQAAAUIwAWMdcc36Cnhl2gQozoF79ao9mvrOdEAgAALwIgHXQdR0TNWfoBTIKQ+DLG3brsfd2EAIBAIAkAmCdNajTWfrrjR29IfCldcl68v0fCYEAAIAAWJfd2KWJZg8+33v7hS9+1V8//IkQCACAxREA67ih3ZL0xA0dvLfnf/6Lnvl4lx8rAgAA/kYAtIDhFzXV/w1q77397Ce79HdCIAAAlkUAtIiRFzfTjIFtvbef+Xin/vHZz36sCAAA+AsB0ELG9Gyhv1zTxnv7rx/+pOfX/OLHigAAgD8QAC1mXK+z9ecB53lvP/n+j3px7a9+rAgAANQ0AqAF3X7pOZp89bne24+9t0OL1yf7sSIAAFCTCIAWddflLfWnq1p7b898Z7te+XK3/woCAAA1hgBoYff2aaUJfVp5bz/8321a8r89fqwIAADUBAJgoMr4TUr+wnNdjSZe2Ur3XNHSe/uht37QG1+nVOtjAgAA/wrydwEox9KR0o53JJmSYZP6z5YuvL1aHsowDP2pb2s53ab3E8HT3toqm83Q0K5J1fKYAM5Axm/S779IMedI0Wf5uxoAtRQBMNBk/CbtWFl823RLqx6U1j0jxXeU4tpKjQsvsa0ku+OMH9IwDE25+ly53G79c22yTFOasvx7BdkMDe7c5Izv35LYSaOquV3Sl/Okj2d4XhcMmzTw71LnUf6uDEAtRAAMNOkn+IWOzP2ey873i9tsDk8IbNzWNxjWbyoZRqUe1jAM/XlAGzndphav3y3TlB5Y9p3sNkPXX0CAqZRvX5HemcBOGpXjckpZ+6WjKYWXvYXXe6SMvZ7bpqt4edMtrbxXWjfX8z8flShFJkhRCVJkYvF1RCPJxtk+AHwZpmma/i6itsrMzFR0dLQyMjIUFRVVNXea8Zs0t73nxb0kR7hUcKxi9xEcKTU+rzAYtpMat5Eat5MiGp5yVdM09cjKbXrlS8+HQWyG9PebO2lgx8TKPpO6y+2Wcg55dtZZaZ5gnpXqufyeLO1ZX3ad5pd6dtL1Gkv14qR6jTzXEY09baHRlQ7tqGVcBVLmb+UEvMJL5m++Aa+q2IKkevGFgTChRFAsdR0cXvWP7W+MxNdu1fj3q5b9dy1DADwD1bYBffuK9M5Ez87AsEsD50oX3OoZBTi43XM5UHidvlNyOyt2v/XiisNgXFvPdKM2ZV74TdPUX97+QUv+5/kwiN1maN4tndS/Q0LVPcdAlZvpCXVZ+6XM1OJgl5VafDv7QMX7vKLsIYXhsDAgRhQGxPLaQupV7WP7W13ZSTvzpcx9vqGuZMjL2l/2jV1FhUR7Qlr6j2Xn2YIld/6Z1S553oSUHDksLzCGx5Y/mujvv6Fpev4nXfmFF6f03evSx48Uj8T3f0rqeptks9d8fbWBv/+GpVXzkRQCIAHwjFTrBpTxm/T7r1LM2Sf/Z3TmS4d/LgyF26SDO6SD2zw7nAoxpJgWxYePCw8luxucrYdW7tDrX++VJAXZDD3dL1bnBB1Qo2ZtFdfknDN/jlWlIi9croLCYFcyzJUcwSucl59ds7WfDkdEiRHEoqBYYlTR295YcoT5rltVL/Jul+TMk1x5nm3Q5zrPsxP2uT7Bcvs2Sjs/lGRKMqTWV0tJ3SR7sCcUBwUXThdegkJOMF24vHe68PaZHPos3VcFuVLGPikjpfyQl5Va+DxOQ1gDKTrJM0pcv5lUv2i6qac9rL5nufLeHHYaKR0/UjwSXea6cFs/dvj0+6KIzSFFxvseas7aL21fKe/fsOsfpKY9SoSxAs+1u6B4umS7z/SJlinR5hP0SrRX+DkESUFhnu3HUXjtczv0FPNCJUdo8bT3dthJ5oUWB8/K/g+63Z6/t9tV4trtufi0lZjnXabkvFK3S66/a7X0vxeK/4adR0pNu3v6113gCdTugsK+dxb/Ld0Fnvsod7mS16WXK5xX7nJOz2uE87hvPxh2aeLWKgunBEAC4BkJ6A0oL0s6+KMnDBaNFh7cXvGdgD1EZqPW+vZ4gj5Kb6g444hG2z+U3TDlMg1tOn+GLhwy0Xcd0/RcinaC5U17N7fypiuybKn7/X6p9NFfCkdWDKnjLVKD5mUPz+akF69z2gxPsIqMLx4VKbkjLGrf8Y707v3FO+lrn5HOu0bKPugZPcw+KOWUmPZeDhT+farwXzIkujgY5udIqd/J+yLf9GJP2DhleCsd4vKr51BldbAFnSQ8OkqFxsK2oBBPqNv7P3n/FiFRUl7m6dcR3rA4zJUOedFJUmglXj8q+uawNGeebyAsGtH2CYxpnr8zqp7N4QmBztzituBIz7bnLhXISk6j2Oh3pRa9quSuAnr/XUMIgGeg1m1ApukJGqUPIx/6seLnF5a4K9OoQ18kGVyvRJgreegrvvhwWL24in/q+nR30i6ndCzdNxTmHPQNj0XTuUdP66miGkQ0KhXwSoS86KTac9jeNKVjv5cYKa/G0cTKKArqdkfhJbic68Jpm8MTnpI/L3s/CRd4wpUzzzPC5MzzjOw6j1duFBFnxlb4d7QFFb5JK/y72Qtvm5J+/9l3HUYAqxwB8AzUmQ3I7ZaOJBcePi5xKPnwz7X/HahhL3XI6gThLiTS35VWnjPP82GUE4bFQ8WhMT+rcvdt2ItHzIJCShyOLXVYttx5IaXWLX1duFxetudTrCVHPA2bNPBZT2AqGm0sOfJYclTSO11QYvSyoNTypdYtvX5lzuWMPVeKb19qFK+pFN2kbn6A4mQKcqXsNCn1e+k/o+Q7am1Il0/1hOKSwexEga10eCvdbrOf3gekyjtcfrJzyNxuz+hcyUtROHTmSQXHSwXH46WWO8V6OYc8r7OlRcRJIRGeGm32wmub723DVjhtK7FMyesS8092P95lStxPQY701fNl/4a9/1L4NywVzrzTJwpxhSOdJed7l3NU/O9Z2b9fJdWZ/fcZIACegTq/ARXkSuk7lfHT54r8bLpsJf5nTVPabjZVgYIkGTJlqPiAbdnbkiGH3aZQh10hDrtCHUEKddg9t4ODZDeMEi8KRdOFt4umS88vyC37Lt8wpOvmeT79HJkoRcRy0rckpf8s/aOb74cQDJvnkEr9pLLhrab6rJpf5E/J7SoRDAsD49G90ssDSvVV1Y4+1Cn+/huezOmOxFdXLaW/4SFQtqtA/RtW49+vzu+/K4AAeAastAF9vXyuOn8/U0GGW07Tpq/aTVe97rdpz+EcJafnaHd6jnYfPqbdh3N09FhBpe7bMKSEqFA1j43wXBqGq3lDz3TTmHCFOk4SRgL1hSsQBWpfBdJOukig9lWgCsS/YSAK5O3KYn9DK+2/T4QAeAastgEd2PeL0vf8qNhm5530U8BHj+V7wmB6jnYf9oTD5MPHtOc0w2FidJiaNQz3CYctYiOUVBgOD+z7RYf27FCjZm0C69PJAYi+qgSL7RBRQ9iuAoLV9t/lIQCeATagyisZDpPTczwjiIW3M45XPhxGhzp0tMR6F7aIUbvEKM/h5SC7Qh2Fh52DbIWHnG2eQ9Al5hW1e9o8y9psp3HOUQmpGceVnJ6jFrERSogOO/UKNWDpxhRNW7FVbtPzBd+zBnfQsG5N/V0WKikQty2gtmH/TQA8I2xAVevosfzCUHjMc1j5cI43LFY2HJ6pYLtNIQ5bmXBYHCjLD5ehQXb9mJalVVtTi75sRdddkKgLkurL5TbldJtyFV6cblNub5tbLrfkcrs97aYpp8uUyyxv2ZL34facu+52e9oK13ObvsvmO906mFX26z3OaRShiJAgBdttCg4qvJSYDil1O9huL54OsinkBOsV3Q4JOsF8u01G4TmdgRpoqrou0zSV73IrN9+t4wUuzyW/1HWBS7klpo/nu5RbOH0s36WfDmRp674M731e1CJGHc6KVliw3ftmJsxhV1hw4TYbXHjbYfcsE2RXaLDN2xZkr5rP8Qfq3xA4EfbfdSwAzp8/X3/961+Vmpqqdu3aae7cuerV68TfGbRmzRpNmjRJ27ZtU2JioiZPnqzx48dX+PHYgGrOkZz8wkCYo93pnnMNf9iXoV/Sc/xdGk6TJwRKec7ik+Jj6wWrfniwgmyGguyGgmw277TDbpPdVn6bw26UmmfzthWvV3p5m896JZdfs/OQ/rn2V5mmZ6T51ouaqUuzBqcV2nJLLOsOsFdbh90oExSL3tiElWgLKREswxy+YfPblCN67esUb1/dfXlLDeiQoOAgT18WXYLtNjmCDAUX/g2MGvjpw0AMpoFYkxSYdVVnTey/61AAXLp0qUaOHKn58+erZ8+eeuGFF/Tiiy9q+/btatq07GGu5ORktW/fXn/84x91xx13aP369brrrrv0+uuva8iQIRV6TDYg/0rNOK6eT37qs1O1GdLzI7uoXkiQ8grcyi1wKdfpUm7RdOF1nrPouuS8wunCtrzCtqJlc52eUbZAZRieX2yx2wzZjcJgY7fJZhgyJB3KLjsCGBJkqMBlBlwwQd1mGCoOhfbioFg0OuwoER59likcdXaUWCa4RMgsCpjBQTZt2XtUb337m3ck/qauTXRRi+LfQz/RJn+iXeIJ/0VO8r9jlpr5dfLvWlGipsGdz9KFLWJOfAc1pHRdQ7s1UY9zYmW3GbIZnotnWrIVvr7YDEM2m7yvNYZR/NpjGJ6fEPWu413fKF7fVthe2GYrXKfo8ZZ/u08PvVV9p6yw/65DAfCiiy5S586dtWDBAm9bmzZtNGjQIM2aNavM8lOmTNHKlSu1Y8cOb9v48eP13Xff6csvv6zQY7IB+d/SjSn684of5DJN2Q1DTwxuX63ntRW4SgdJ31C5/+hxTX7ze99v1DKkGQPbKrZeqOw2yV44SmUrHJWyl7gEFb4Aeka/CqdtNtlsUpDNVmZZe4nAd6rzFk/WV06XW/kut/Kdnkue0/f2Sec5Xb7zfeYVL5vn9F3mSE6+Un4v+wXkoQ6bTFPeQ9+1kWFI4UWHXUsegnX4HpINK32ItpyRtqJ52blO3frS/8q84VkworPCQ4I8I49Ot89oZG6ZEcriNztFo5JF23PJUU0g0NgNQ+umXlFlI4Hsv6UgfxdQFfLz87Vp0yZNnTrVp71v377asGFDuet8+eWX6tu3r09bv3799NJLL6mgoEAOR9lffMjLy1NeXvEoSmbmGfw0FKrEsG5NdWnrRtqdfkzNY8Or/dBF0UhDZOiJl3GbZo2G0oo6WV8F2W0KstsUHlxz9ZQ3gms3DH32wOXe2swS50A63aacLrcKXJ62Apfbex6kZ15xm3cZt1sul2eZ0usVuE25XJ51PfM8y2QcK9C/vtxd+mtxdf9VrRUfFVrqvDqbT0grui55jmNVmjW4Q5ltq1/7hCp9DNM0vaPexYe03cWBskRwPJCZq6c/2lmmr66/IFEOu035LrcKXG7lOz39XnTJd5kqcBZNu1XgLGwrsUyBq3aGf1QPl2lqd/qxgDk8XRfUiQCYnp4ul8uluLg4n/a4uDilpaWVu05aWlq5yzudTqWnpyshoeyL6qxZszRz5syqKxxVIiE6LKBeFGo6lFZGIPVVQnRYuYGmZH1G0WhoDX+Xd5vEyFoX4quKYRjec/zqV2D5RpEh1dJXpukJ5kUB0RsWC4NivrM4KOb7zHfrUFauHn1nR5mR+D/1PVfRYZ439yeL5yfK7sYJ1jpZ1i+alXGsQE9+8GOZmqb2O0/R4RX8iclqcKK6JvRupXqhQXKbplxuzxtbd+EHzdymiqcLP7TmXabwTZtneXmX8VmvaL53Wfmsl5vv1pZ9R33qtBuGmsda7Bd3qlmdCIBFSr/jNk3zpO/Cy1u+vPYi06ZN06RJk7y3MzMzlZSUdLrlog4LpKAVyAI1LAdqXVLgbVvV1VeGYSg4yFBwkE0Kqfz64cFBARfi60c4Aq6mQK2rvFNWAmm7rwvqRACMjY2V3W4vM9p38ODBMqN8ReLj48tdPigoSA0bNix3nZCQEIWEnMYrEYATCrRAUyRQ6wpEgdhXgRjiA7EmKTDrCsSa6po6EQCDg4PVpUsXrV69WjfccIO3ffXq1br++uvLXad79+565513fNo++ugjde3atdzz/wAAtUsgBtNArEkKzLoCsaa6pGq+BTQATJo0SS+++KIWLVqkHTt26P7771dKSor3e/2mTZumUaOKf3Nx/Pjx2rNnjyZNmqQdO3Zo0aJFeumll/TAAw/46ykAAADUiDoxAihJw4YN0+HDh/Xoo48qNTVV7du316pVq9SsWTNJUmpqqlJSUrzLt2jRQqtWrdL999+vf/zjH0pMTNSzzz5b4e8ABAAAqK3qzPcA+gPfIwQAQO3D/rsOHQIGAABAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEAACwmDrzSyD+UPQd2pmZmX6uBAAAVFTRftvKv4VBADwDWVlZkqSkpCQ/VwIAACorKytL0dHR/i7DL/gpuDPgdru1f/9+RUZGyjAMf5dT7TIzM5WUlKS9e/da9qdzKoq+qjj6qnLor4qjryrOan1lmqaysrKUmJgom82aZ8MxAngGbDabmjRp4u8yalxUVJQlXiCqAn1VcfRV5dBfFUdfVZyV+sqqI39FrBl7AQAALIwACAAAYDEEQFRYSEiIHnnkEYWEhPi7lIBHX1UcfVU59FfF0VcVR19ZDx8CAQAAsBhGAAEAACyGAAgAAGAxBEAAAACLIQACAABYDAEQpzRr1ix169ZNkZGRaty4sQYNGqSffvrJ32XVCrNmzZJhGJo4caK/SwlIv/32m2699VY1bNhQ4eHhuuCCC7Rp0yZ/lxVwnE6n/vKXv6hFixYKCwvT2WefrUcffVRut9vfpfndF198oYEDByoxMVGGYejtt9/2mW+apmbMmKHExESFhYXp8ssv17Zt2/xTbAA4WX8VFBRoypQp6tChgyIiIpSYmKhRo0Zp//79/isY1YYAiFNas2aN7r77bn311VdavXq1nE6n+vbtq5ycHH+XFtA2btyohQsX6vzzz/d3KQHpyJEj6tmzpxwOh95//31t375dTz/9tOrXr+/v0gLO7Nmz9fzzz2vevHnasWOHnnrqKf31r3/Vc8895+/S/C4nJ0cdO3bUvHnzyp3/1FNPac6cOZo3b542btyo+Ph4XXXVVd7fcreak/XXsWPH9O2332r69On69ttvtWLFCu3cuVPXXXedHypFdeNrYFBphw4dUuPGjbVmzRpdeuml/i4nIGVnZ6tz586aP3++HnvsMV1wwQWaO3euv8sKKFOnTtX69eu1du1af5cS8K699lrFxcXppZde8rYNGTJE4eHhevXVV/1YWWAxDENvvfWWBg0aJMkz+peYmKiJEydqypQpkqS8vDzFxcVp9uzZuuOOO/xYrf+V7q/ybNy4URdeeKH27Nmjpk2b1lxxqHaMAKLSMjIyJEkxMTF+riRw3X333brmmmt05ZVX+ruUgLVy5Up17dpVN910kxo3bqxOnTrpn//8p7/LCkiXXHKJPvnkE+3cuVOS9N1332ndunUaMGCAnysLbMnJyUpLS1Pfvn29bSEhIbrsssu0YcMGP1ZWe2RkZMgwDEbm66AgfxeA2sU0TU2aNEmXXHKJ2rdv7+9yAtIbb7yhb7/9Vhs3bvR3KQHt119/1YIFCzRp0iT9+c9/1tdff6377rtPISEhGjVqlL/LCyhTpkxRRkaGzjvvPNntdrlcLj3++OO65ZZb/F1aQEtLS5MkxcXF+bTHxcVpz549/iipVsnNzdXUqVM1fPhwRUVF+bscVDECICrlnnvu0ffff69169b5u5SAtHfvXk2YMEEfffSRQkND/V1OQHO73erataueeOIJSVKnTp20bds2LViwgABYytKlS/Xvf/9br732mtq1a6ctW7Zo4sSJSkxM1OjRo/1dXsAzDMPntmmaZdrgq6CgQDfffLPcbrfmz5/v73JQDQiAqLB7771XK1eu1BdffKEmTZr4u5yAtGnTJh08eFBdunTxtrlcLn3xxReaN2+e8vLyZLfb/Vhh4EhISFDbtm192tq0aaPly5f7qaLA9eCDD2rq1Km6+eabJUkdOnTQnj17NGvWLALgScTHx0vyjAQmJCR42w8ePFhmVBDFCgoKNHToUCUnJ+vTTz9l9K+O4hxAnJJpmrrnnnu0YsUKffrpp2rRooW/SwpYffr00datW7VlyxbvpWvXrhoxYoS2bNlC+CuhZ8+eZb5OaOfOnWrWrJmfKgpcx44dk83m+3Jtt9v5GphTaNGiheLj47V69WpvW35+vtasWaMePXr4sbLAVRT+du3apY8//lgNGzb0d0moJowA4pTuvvtuvfbaa/rvf/+ryMhI73k10dHRCgsL83N1gSUyMrLMuZERERFq2LAh50yWcv/996tHjx564oknNHToUH399ddauHChFi5c6O/SAs7AgQP1+OOPq2nTpmrXrp02b96sOXPm6LbbbvN3aX6XnZ2tn3/+2Xs7OTlZW7ZsUUxMjJo2baqJEyfqiSeeUKtWrdSqVSs98cQTCg8P1/Dhw/1Ytf+crL8SExN144036ttvv9W7774rl8vlfb2PiYlRcHCwv8pGdTCBU5BU7mXx4sX+Lq1WuOyyy8wJEyb4u4yA9M4775jt27c3Q0JCzPPOO89cuHChv0sKSJmZmeaECRPMpk2bmqGhoebZZ59tPvTQQ2ZeXp6/S/O7zz77rNzXp9GjR5umaZput9t85JFHzPj4eDMkJMS89NJLza1bt/q3aD86WX8lJyef8PX+s88+83fpqGJ8DyAAAIDFcA4gAACAxRAAAQAALIYACAAAYDEEQAAAAIshAAIAAFgMARAAAMBiCIAAAAAWQwAEgCpkGIbefvttf5cBACdFAARQZ4wZM0aGYZS5XH311f4uDQACCr8FDKBOufrqq7V48WKftpCQED9VAwCBiRFAAHVKSEiI4uPjfS4NGjSQ5Dk8u2DBAvXv319hYWFq0aKFli1b5rP+1q1b1bt3b4WFhalhw4a6/fbblZ2d7bPMokWL1K5dO4WEhCghIUH33HOPz/z09HTdcMMNCg8PV6tWrbRy5crqfdIAUEkEQACWMn36dA0ZMkTfffedbr31Vt1yyy3asWOHJOnYsWO6+uqr1aBBA23cuFHLli3Txx9/7BPwFixYoLvvvlu33367tm7dqpUrV6ply5Y+jzFz5kwNHTpU33//vQYMGKARI0bo999/r9HnCQAnZQJAHTF69GjTbrebERERPpdHH33UNE3TlGSOHz/eZ52LLrrIvPPOO03TNM2FCxeaDRo0MLOzs73z33vvPdNms5lpaWmmaZpmYmKi+dBDD52wBknmX/7yF+/t7Oxs0zAM8/3336+y5wkAZ4pzAAHUKVdccYUWLFjg0xYTE+Od7t69u8+87t27a8uWLZKkHTt2qGPHjoqIiPDO79mzp9xut3766ScZhqH9+/erT58+J63h/PPP905HREQoMjJSBw8ePN2nBABVjgAIoE6JiIgoc0j2VAzDkCSZpumdLm+ZsLCwCt2fw+Eos67b7a5UTQBQnTgHEIClfPXVV2Vun3feeZKktm3basuWLcrJyfHOX79+vWw2m1q3bq3IyEg1b95cn3zySY3WDABVjRFAAHVKXl6e0tLSfNqCgoIUGxsrSVq2bJm6du2qSy65REuWLNHXX3+tl156SZI0YsQIPfLIIxo9erRmzJihQ4cO6d5779XIkSMVFxcnSZoxY4bGjx+vxo0bq3///srKytL69et177331uwTBYAzQAAEUKd88MEHSkhI8Gk799xz9eOPP0ryfEL3jTfe0F133aX4+HgtWbJEbdu2lSSFh4frww8/1IQJE9StWzeFh4dryJAhmjNnjve+Ro8erdzcXD3zzDN64IEHFBsbqxtvvLHmniAAVAHDNE3T30UAQE0wDENvvfWWBg0a5O9SAMCvOAcQAADAYgiAAAAAFsM5gAAsgzNeAMCDEUAAAACLIQACAABYDAEQAADAYgiAAAAAFkMABAAAsBgCIAAAgMUQAAEAACyGAAgAAGAxBEAAAACL+X/KdOskDyoFrgAAAABJRU5ErkJggg==" alt="Learning Curve"> | |
| </div> | |
| </div> | |
| <div style="display: flex;"> | |
| <div class="section class_dist"> | |
| <h2>Class Distribution</h2> | |
| <pre> Count Percentage | |
| class | |
| 1 1320 50.38 | |
| 0 1300 49.62</pre> | |
| <h3>Additional Metrics</h3> | |
| <ul> | |
| <li>Total Samples: 2620</li> | |
| <li>Imbalance Ratio: 1.02</li> | |
| </ul> | |
| </div> | |
| <div class="section"> | |
| <h2>Classification Report</h2> | |
| <pre> precision recall f1-score support | |
| Class 0 0.9938 0.9877 0.9907 325 | |
| Class 1 0.9880 0.9940 0.9910 331 | |
| accuracy 0.9909 656 | |
| macro avg 0.9909 0.9908 0.9909 656 | |
| weighted avg 0.9909 0.9909 0.9909 656 | |
| </pre> | |
| <h3>Metrics</h3> | |
| <div class="metrics"> | |
| <ul> | |
| <li>True Positives (TP): 329</li> | |
| <li>True Negatives (TN): 321</li> | |
| </ul> | |
| <ul> | |
| <li>False Positives (FP): 4</li> | |
| <li>False Negatives (FN): 2</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="section confusion-matrix"> | |
| <h2>Confusion Matrix</h2> | |
| <img src="data:image/png;base64,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" alt="Confusion Matrix"> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="container"> | |
| <div class="header">MODEL: FEEDFORWARD_k4</div> | |
| <div style="display: flex;"> | |
| <div class="section"> | |
| <h2 class='mod_sum'>Model Architecture</h2> | |
| <pre>Model: "FEEDFORWARD_k4" | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ | |
| ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ | |
| │ dense_10 (Dense) │ (None, 256) │ 256,256 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_8 (Dropout) │ (None, 256) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_11 (Dense) │ (None, 128) │ 32,896 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_9 (Dropout) │ (None, 128) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_12 (Dense) │ (None, 64) │ 8,256 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_10 (Dropout) │ (None, 64) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_13 (Dense) │ (None, 1) │ 65 │ | |
| └─────────────────────────────────┴────────────────────────┴───────────────┘ | |
| Total params: 892,421 (3.40 MB) | |
| Trainable params: 297,473 (1.13 MB) | |
| Non-trainable params: 0 (0.00 B) | |
| Optimizer params: 594,948 (2.27 MB) | |
| </pre> | |
| </div> | |
| <div class="section learning-curve"> | |
| <h2>Learning Curve</h2> | |
| <img src="data:image/png;base64,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" alt="Learning Curve"> | |
| </div> | |
| </div> | |
| <div style="display: flex;"> | |
| <div class="section class_dist"> | |
| <h2>Class Distribution</h2> | |
| <pre> Count Percentage | |
| class | |
| 1 1320 50.38 | |
| 0 1300 49.62</pre> | |
| <h3>Additional Metrics</h3> | |
| <ul> | |
| <li>Total Samples: 2620</li> | |
| <li>Imbalance Ratio: 1.02</li> | |
| </ul> | |
| </div> | |
| <div class="section"> | |
| <h2>Classification Report</h2> | |
| <pre> precision recall f1-score support | |
| Class 0 0.9907 0.9877 0.9892 325 | |
| Class 1 0.9880 0.9909 0.9894 331 | |
| accuracy 0.9893 656 | |
| macro avg 0.9893 0.9893 0.9893 656 | |
| weighted avg 0.9893 0.9893 0.9893 656 | |
| </pre> | |
| <h3>Metrics</h3> | |
| <div class="metrics"> | |
| <ul> | |
| <li>True Positives (TP): 328</li> | |
| <li>True Negatives (TN): 321</li> | |
| </ul> | |
| <ul> | |
| <li>False Positives (FP): 4</li> | |
| <li>False Negatives (FN): 3</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="section confusion-matrix"> | |
| <h2>Confusion Matrix</h2> | |
| <img src="data:image/png;base64,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" alt="Confusion Matrix"> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="container"> | |
| <div class="header">MODEL: FEEDFORWARD_k5</div> | |
| <div style="display: flex;"> | |
| <div class="section"> | |
| <h2 class='mod_sum'>Model Architecture</h2> | |
| <pre>Model: "FEEDFORWARD_k5" | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ | |
| ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ | |
| │ dense_14 (Dense) │ (None, 512) │ 512,512 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_11 (Dropout) │ (None, 512) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_15 (Dense) │ (None, 128) │ 65,664 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_12 (Dropout) │ (None, 128) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_16 (Dense) │ (None, 64) │ 8,256 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dropout_13 (Dropout) │ (None, 64) │ 0 │ | |
| ├─────────────────────────────────┼────────────────────────┼───────────────┤ | |
| │ dense_17 (Dense) │ (None, 1) │ 65 │ | |
| └─────────────────────────────────┴────────────────────────┴───────────────┘ | |
| Total params: 1,759,493 (6.71 MB) | |
| Trainable params: 586,497 (2.24 MB) | |
| Non-trainable params: 0 (0.00 B) | |
| Optimizer params: 1,172,996 (4.47 MB) | |
| </pre> | |
| </div> | |
| <div class="section learning-curve"> | |
| <h2>Learning Curve</h2> | |
| <img src="data:image/png;base64,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" alt="Learning Curve"> | |
| </div> | |
| </div> | |
| <div style="display: flex;"> | |
| <div class="section class_dist"> | |
| <h2>Class Distribution</h2> | |
| <pre> Count Percentage | |
| class | |
| 1 1320 50.38 | |
| 0 1300 49.62</pre> | |
| <h3>Additional Metrics</h3> | |
| <ul> | |
| <li>Total Samples: 2620</li> | |
| <li>Imbalance Ratio: 1.02</li> | |
| </ul> | |
| </div> | |
| <div class="section"> | |
| <h2>Classification Report</h2> | |
| <pre> precision recall f1-score support | |
| Class 0 0.9908 0.9908 0.9908 325 | |
| Class 1 0.9909 0.9909 0.9909 331 | |
| accuracy 0.9909 656 | |
| macro avg 0.9909 0.9909 0.9909 656 | |
| weighted avg 0.9909 0.9909 0.9909 656 | |
| </pre> | |
| <h3>Metrics</h3> | |
| <div class="metrics"> | |
| <ul> | |
| <li>True Positives (TP): 328</li> | |
| <li>True Negatives (TN): 322</li> | |
| </ul> | |
| <ul> | |
| <li>False Positives (FP): 3</li> | |
| <li>False Negatives (FN): 3</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="section confusion-matrix"> | |
| <h2>Confusion Matrix</h2> | |
| <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA7K0lEQVR4nO3deXhU5fnG8XuyDdklLBkCAYIEFUkVQVnLouxrUAuIC1SkiICmgCgoEKsSQAsom/5QQVFEBUGtiGwCpUhllbCUNYBohoCmCYQwwXB+f1CmHRM0ZE5ywuT76XWui5xtnknnwpvnfc87NsMwDAEAAMA0flYXAAAA4GsIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmCzA6gKuJUn+kVaXAJS46WeOW10CUPJCSu7v80dtEV5d/5qRbVIlsBIBCwAAEzE0BImABQCAqfxsNqtLQBlA0AYAADAZHSwAAExE5wISAQsAAFP5MUIIEbAAADAVHSxIBCwAAEzFJHdIBCwAAExFBwsSnwMAAADT0cECAMBETHKHRMACAMBUDA1BImABAGAqG5PcIQIWAACmooMFiYAFAICpmIMFiaANAABgOjpYAACYiM4FJAIWAACmYiV3SAQsAABMRQcLEgELAABTMckdEgELAABT0cGCxOcAAADAdAQsAABM5CebV1tRzZkzR7/73e8UERGhiIgINWvWTF988YX7uGEYSk5OVkxMjIKDg9WmTRvt2bPH4x4ul0vDhw9X5cqVFRoaqh49eujEiROm/S7KMwIWAAAm8rN5txVVjRo1NGnSJG3dulVbt27VnXfeqZ49e7pD1JQpUzR16lTNnDlTW7ZskcPhUPv27XXmzBn3PZKSkrR06VItWrRIGzdu1NmzZ9WtWzfl5+eb/Wspd2yGYRhWF3GtSPKPtLoEoMRNP3Pc6hKAkhdScn+fTwup5NX1fz73Y7GvjYqK0ksvvaSHH35YMTExSkpK0lNPPSXpUrcqOjpakydP1uDBg5WVlaUqVapowYIF6tOnjyTphx9+UGxsrJYvX66OHTt69T7KOzpYAACYqLQ6WP8rPz9fixYtUk5Ojpo1a6a0tDQ5nU516NDBfY7dblfr1q21adMmSdK2bdt04cIFj3NiYmLUoEED9zkoPp4iBADARFczj6owLpdLLpfLY5/dbpfdbi9wbmpqqpo1a6bz588rLCxMS5cuVf369d0BKTo62uP86OhoHTt2TJLkdDoVFBSkihUrFjjH6XR69R5ABwsAgDIlJSVFkZGRHltKSkqh595www3auXOnNm/erCFDhqh///7au3ev+7jtF6vKG4ZRYN8vFeUc/DY6WAAAmMjbhUbHjBmjESNGeOwrrHslSUFBQapbt64kqXHjxtqyZYteeeUV97wrp9OpatWquc/PyMhwd7UcDofy8vKUmZnp0cXKyMhQ8+bNvXsToIMFAICZ/Lzc7Ha7e+mFy9uVAtYvGYYhl8uluLg4ORwOrVq1yn0sLy9P69evd4enRo0aKTAw0OOc9PR07d69m4BlAjpYAACYqLS+Kmfs2LHq3LmzYmNjdebMGS1atEjr1q3TihUrZLPZlJSUpIkTJyo+Pl7x8fGaOHGiQkJC1K9fP0lSZGSkBg4cqJEjR6pSpUqKiorSqFGjlJCQoHbt2pXOm/BhBCwAAEzk7ST3ojp58qQefPBBpaenKzIyUr/73e+0YsUKtW/fXpI0evRo5ebm6rHHHlNmZqaaNGmilStXKjw83H2PadOmKSAgQL1791Zubq7uuusuzZ8/X/7+/qXyHnwZ62BdBdbBQnnAOlgoF0pwHaw3I6p4df3A7FMmVQIrMQcLAADAZAwRAgBgIhY4gETAAgDAVKU1yR1lGwELAAATldYkd5RtBCwAAExEBwsSk9wBAABMRwcLAAAT0bmARMACAMBUjBBCImABAGAqPxsRCwQsAABMRbyCRMACAMBUBCxIzMUDAAAwHR0sAABMRAcLEgELAABT2ZjkDhGwAAAwFfEKEgELAABTMbkZEgELAABTMUIIiaANAABgOjpYAACYyMYsLIiABQCAqYhXkAhYAACYioAFyQcDVk5OjhYuXKhNmzbJ6XTKZrMpOjpaLVq00H333afQ0FCrSwQA+DA/EhbkY5Pc9+7dq3r16mn06NHKzMxUzZo1VaNGDWVmZurJJ5/UDTfcoL1791pdJgDAh9m8/B98g091sIYOHapWrVrp7bffVlBQkMexvLw8DRgwQEOHDtVXX31lUYUAAKA88KmA9c9//lNbt24tEK4kKSgoSGPHjtUdd9xhQWUAgPKCHhQkHxsirFixog4ePHjF44cOHVLFihVLsSIAQHljs3m3wTf4VAdr0KBB6t+/v5599lm1b99e0dHRstlscjqdWrVqlSZOnKikpCSrywQA+DAyEiQfC1jJyckKDg7W1KlTNXr0aPc3mhuGIYfDoaefflqjR4+2uEoAgC/zI2JBks0wDMPqIkpCWlqanE6nJMnhcCguLs7reyb5R3p9D6Csm37muNUlACUvpOT+Pl9TpbpX19916nuTKoGVfKqD9b/i4uJMCVUAAABXy2cDFgAAVmCiOiQCFgAApiJfQSJgAQBgKlZjh0TAAgDAVHwXISQfW2j0shUrVmjjxo3un2fNmqVbb71V/fr1U2ZmpoWVAQB8nc3LDb7BJwPWk08+qezsbElSamqqRo4cqS5duujIkSMaMWKExdUBAABf55MBKy0tTfXr15ckLVmyRN26ddPEiRM1e/ZsffHFFxZXBwDwZaXVwUpJSdHtt9+u8PBwVa1aVYmJidq/f7/HOQMGDJDNZvPYmjZt6nGOy+XS8OHDVblyZYWGhqpHjx46ceJEcd46/odPBqygoCCdO3dOkrR69Wp16NBBkhQVFeXubAEAUBJsXv6vqNavX6+hQ4dq8+bNWrVqlX7++Wd16NBBOTk5Hud16tRJ6enp7m358uUex5OSkrR06VItWrRIGzdu1NmzZ9WtWzfl5+eb8vsor3xyknvLli01YsQItWjRQt98840++OADSdKBAwdUo0YNi6sr31o8OlAtBj+sqNo1JUnOPf/Sly9M1r4Vq+UXEKCuz4/TTZ3bq1Kd2jqfla0Da9bpszHJyk6/tCp/SMWK6pQ8Rje2v1PXxVZXzukflfrJ51o+/kWdJzzjGrLww8V6f/HH+v6HdElSfJ04PfanR9S6ZXOLK4O3SmsdrBUrVnj8PG/ePFWtWlXbtm1Tq1at3PvtdrscDkeh98jKytKbb76pBQsWqF27dpKkd999V7GxsVq9erU6duxYcm/Ax/lkB2vmzJkKCAjQ4sWLNWfOHFWvfulrC7744gt16tTJ4urKt3+f+F6fjU3WX+9oo7/e0UYHvtqggUvfl6P+jQoKCVGN227Ryhdf0l8bt9Jb9z6gKvF19ciyRe7rI2Icioyppk9GP6vJtzTXwocf040d26nvGzMtfFfA1XNER2vU8KFa8t58LXlvvpre0VhD/zxKBw8ftro0eMnPy624srKyJF0arflf69atU9WqVVWvXj0NGjRIGRkZ7mPbtm3ThQsX3CM9khQTE6MGDRpo06ZNXlQDn/0uwpLAdxGWjBdPHdWnT43TP99aUOBYbOPbNPKfXym59s3693eFzwm45d5EPfjO/2l0eDVdpKXtNb6L0Dp3tG6nJ5OG6w+9elpdiu8rwe8i/Kcj1qvrbz12SC6Xy2Of3W6X3W6/4jWGYahnz57KzMzU3//+d/f+Dz74QGFhYapVq5bS0tI0btw4/fzzz9q2bZvsdrsWLlyoP/7xjwVer0OHDoqLi9Prr7/u1Xspz3yyg7V9+3alpqa6f/7kk0+UmJiosWPHKi8vz8LK8L9sfn5q2Oce2UNDdPTrbwo9JzgyQhcvXlTuv7OueJ/gyAidzz5DuMI1Kz8/X5+vWKlzublq+LsEq8uBxVJSUhQZGemxpaSk/Oo1w4YN065du/T+++977O/Tp4+6du2qBg0aqHv37vriiy904MABff755796P8MwZOM7f7zik3OwBg8erKeffloJCQk6cuSI+vbtq169eumjjz7SuXPnNH36dKtLLNeqNaivpH+sUkCFCso7e1Zv3nO/Tu7bX+C8ALtd3SYma/v7H8l15kyh9wqJqqgOzzypTf83r6TLBky3/+Ah9e0/UK68PIUEB2vWX6eo7vV1rC4LXvI2mIwZM6bAkkK/1r0aPny4Pv30U23YsOE35xlXq1ZNtWrV0sGDByVJDodDeXl5yszMVMWKFd3nZWRkqHlz5gN6wyc7WAcOHNCtt94qSfroo4/UqlUrLVy4UPPnz9eSJUuKdA+Xy6Xs7GyP7WdGU02Rsf+gXrrt95revJ3+8dpbun/ea4q+6QaPc/wCAtT//bdk8/PTR0NHFnofe3i4/vTZRzq5b79W/GVSaZQOmCqudi0tW/SuPnj7Td33h3v01PjndOjwEavLgpe8XabBbrcrIiLCYyssYBmGoWHDhunjjz/W2rVrFRcX95u1/fjjj/ruu+9UrVo1SVKjRo0UGBioVatWuc9JT0/X7t27CVhe8smAZRiGLl68KOnSMg1dunSRJMXGxur06dNFukdhLdqthuu3L8Rvyr9wQacPH9F323bob888p++/3a3Wjw9xH/cLCNCAD+YrqnYtzenYs9DulT0sTI8uXyLX2Ry9eff9uvjzz6X5FgBTBAUGqlbNWCXcXF8jHx+qG+vF6533P7C6LHiptNbBGjp0qN59910tXLhQ4eHhcjqdcjqdys3NlSSdPXtWo0aN0tdff62jR49q3bp16t69uypXrqxevXpJkiIjIzVw4ECNHDlSa9as0Y4dO/TAAw8oISHB/VQhiscnA1bjxo31wgsvaMGCBVq/fr26du0q6dICpNHR0UW6x5gxY5SVleWxNbZduUWL4rPZbAqwB0n6b7iqUvd6ze7QU+d+KvjVRvbwcA1ZsVT5eXl6I7GvfnYRfOEbDBnME/UBv1zY82q3opozZ46ysrLUpk0bVatWzb1dXprI399fqamp6tmzp+rVq6f+/furXr16+vrrrxUeHu6+z7Rp05SYmKjevXurRYsWCgkJ0WeffSZ/f3/TfzfliU/OwZo+fbruv/9+LVu2TM8884zq1q0rSVq8eHGRW56FPbERwIQ/r3V9Ybz2rVilf3/3vezhYWrY5x7VbdNSr3W5R37+/vrjR++oRsNbNLdHH/n5+ys8uqok6dxPmcq/cEH2sDANWbFUQSHBWvDQn1QhIlwVIi79RXH21GkZ/+lcAmXd1Bmz1apFMzkc0crJOaflX67UN1u3641Zr1hdGrxUWl/2/FuLAAQHB+vLL7/8zftUqFBBM2bM0IwZM8wqDSpnyzScP39e/v7+CgwMLNb1LNPgvb5zZ6rena0UUc2h3Kxs/bBrj9a8NF0HVn+lqFo1Nf5IaqHXzbyzqw6t36i6rVtq2NrCn375S50E/XSMJQa8xTINpWNs8vPa/M1WZZw+rfCwMN0QX1eD/viQWjRtYnVp5UMJLtOwo3otr65v+P0xkyqBlcpVwPIWAQvlAQEL5UIJBqydsbW9uv7W746aUges5ZNDhPn5+Zo2bZo+/PBDHT9+vMCchp9++smiygAAvo7ZJJB8dJL7c889p6lTp6p3797KysrSiBEjdPfdd8vPz0/JyclWlwcA8GE2m3cbfINPBqz33ntPc+fO1ahRoxQQEKD77rtPb7zxhsaPH6/NmzdbXR4AwIeV1lOEKNt8MmA5nU4lJFz6uomwsDD3F2B269btN78eAAAAb9DBguSjAatGjRpKT0+XJNWtW1crV66UJG3ZsuVXv24AAADADD4ZsHr16qU1a9ZIkp544gmNGzdO8fHxeuihh/Twww9bXB0AwJcxRAjJR58inDTpv99Ld++996pGjRratGmT6tatqx49elhYGQDA15GRIPlowPqlpk2bqmnTplaXAQAoB/xIWJAPBaxPP/20yOfSxQIAlBTyFSQfCliJiYlFOs9msyk/P79kiwEAlFvMo4LkQwHrIl/yCwAAygifCVgAAJQFNp98Ph9Xy6c+BmvXrlX9+vWVnZ1d4FhWVpZuvvlmbdiwwYLKAADlBcs0QPKxgDV9+nQNGjRIERERBY5FRkZq8ODBmjZtmgWVAQDKC1Zyh+RjAevbb79Vp06drni8Q4cO2rZtWylWBAAob+hgQfKxOVgnT55UYGDgFY8HBATo1KlTpVgRAKC8ISNB8rEOVvXq1ZWamnrF47t27VK1atVKsSIAAFAe+VTA6tKli8aPH6/z588XOJabm6sJEyaoW7duFlQGACgv/Gw2rzb4BpthGIbVRZjl5MmTuu222+Tv769hw4bphhtukM1m0759+zRr1izl5+dr+/btio6OLtb9k/wjTa4YKHumnzludQlAyQspub/Pj//uBq+ur7lrv0mVwEo+NQcrOjpamzZt0pAhQzRmzBhdzo42m00dO3bU7Nmzix2uAAAoCiaqQ/KxgCVJtWrV0vLly5WZmalDhw7JMAzFx8erYsWKVpcGACgHyFeQfDBgXVaxYkXdfvvtVpcBAChnCFiQfGySOwAAQFngsx0sAACsYPOjhQUCFgAApmKIEBIBCwAAU7GWFSQCFgAApiJfQSJgAQBgKtbBgsRThAAAAKajgwUAgIloYEEiYAEAYCqGCCERsAAAMBX5ChIBCwAAU9HBgsQkdwAAANPRwQIAwEQ2WhcQHSwAAExls9m82ooqJSVFt99+u8LDw1W1alUlJiZq//79HucYhqHk5GTFxMQoODhYbdq00Z49ezzOcblcGj58uCpXrqzQ0FD16NFDJ06cMOV3UZ4RsAAAMJOfzbutiNavX6+hQ4dq8+bNWrVqlX7++Wd16NBBOTk57nOmTJmiqVOnaubMmdqyZYscDofat2+vM2fOuM9JSkrS0qVLtWjRIm3cuFFnz55Vt27dlJ+fb+qvpbyxGYZhWF3EtSLJP9LqEoASN/3McatLAEpeSMn9fZ7V9lavro/8amexrjt16pSqVq2q9evXq1WrVjIMQzExMUpKStJTTz0l6VK3Kjo6WpMnT9bgwYOVlZWlKlWqaMGCBerTp48k6YcfflBsbKyWL1+ujh07evVeyjM6WAAAmMjbIUKXy6Xs7GyPzeVy/ebrZmVlSZKioqIkSWlpaXI6nerQoYP7HLvdrtatW2vTpk2SpG3btunChQse58TExKhBgwbuc1A8BCwAAMqQlJQURUZGemwpKSm/eo1hGBoxYoRatmypBg0aSJKcTqckKTo62uPc6Oho9zGn06mgoCBVrFjxiuegeHiKEAAAM13FPKrCjBkzRiNGjPDYZ7fbf/WaYcOGadeuXdq4cWOBY7+cOG8Yxm9Opi/KOfh1dLAAADCTzebVZrfbFRER4bH9WsAaPny4Pv30U3311VeqUaOGe7/D4ZCkAp2ojIwMd1fL4XAoLy9PmZmZVzwHxUPAAgDARDY/m1dbURmGoWHDhunjjz/W2rVrFRcX53E8Li5ODodDq1atcu/Ly8vT+vXr1bx5c0lSo0aNFBgY6HFOenq6du/e7T4HxcMQIQAAZiqlobWhQ4dq4cKF+uSTTxQeHu7uVEVGRio4OFg2m01JSUmaOHGi4uPjFR8fr4kTJyokJET9+vVznztw4ECNHDlSlSpVUlRUlEaNGqWEhAS1a9euVN6HryJgAQBgoqvpQnljzpw5kqQ2bdp47J83b54GDBggSRo9erRyc3P12GOPKTMzU02aNNHKlSsVHh7uPn/atGkKCAhQ7969lZubq7vuukvz58+Xv79/qbwPX8U6WFeBdbBQHrAOFsqFElwH62yXO7y6Pmz5NyZVAivRwQIAwEw8fQcRsAAAMFcpDRGibCNgAQBgItaPgkTAAgDAXHSwIAIWAADmooMFsdAoAACA6ehgAQBgIhutC8jigPXpp58W+dwePXqUYCUAAJiEIULI4oCVmJhYpPNsNpvy8/NLthgAAExQWiu5o2yzNGBdvHjRypcHAMB8dLAg5mABAGAuOlhQGQtYOTk5Wr9+vY4fP668vDyPY48//rhFVQEAAFydMhOwduzYoS5duujcuXPKyclRVFSUTp8+rZCQEFWtWpWABQC4JrCSO6QytA7Wn//8Z3Xv3l0//fSTgoODtXnzZh07dkyNGjXSyy+/bHV5AAAUjZ/Nuw0+ocwErJ07d2rkyJHy9/eXv7+/XC6XYmNjNWXKFI0dO9bq8gAAKBqbzbsNPqHMBKzAwEB3WzU6OlrHjx+XJEVGRrr/DABAWWez2bza4BvKzByshg0bauvWrapXr57atm2r8ePH6/Tp01qwYIESEhKsLg8AgKJhmA8qQx2siRMnqlq1apKk559/XpUqVdKQIUOUkZGh//u//7O4OgAAgKIrMx2sxo0bu/9cpUoVLV++3MJqAAAoHob5IJWhgAUAgE9giBAqQwErLi7uV1P/kSNHSrEaAACKiQ4WVIYCVlJSksfPFy5c0I4dO7RixQo9+eST1hQFAMBV4sueIZWhgPXEE08Uun/WrFnaunVrKVcDAEAx0cGCytBThFfSuXNnLVmyxOoyAAAAiqzMdLCuZPHixYqKirK6DAAAioYhQqgMBayGDRt6THI3DENOp1OnTp3S7NmzLawMAICiY5kGSGUoYPXs2dPjQ+nn56cqVaqoTZs2uvHGGy2s7L+mn+Ere+D7Hg2NtboEoMS9ZmSX3M3pYEFlKGAlJydbXQIAAN6jgwWVoUnu/v7+ysjIKLD/xx9/lL+/vwUVAQBQDDabdxt8QpkJWIZhFLrf5XIpKCiolKsBAAAoPsuHCF999VVJlyYFvvHGGwoLC3Mfy8/P14YNG8rMHCwAAH4TXSioDASsadOmSbrUwXrttdc8hgODgoJUu3Ztvfbaa1aVBwDA1fErM4NDsJDlASstLU2S1LZtW3388ceqWLGixRUBAOAFOlhQGQhYl3311VdWlwAAgPcIWFAZmuR+7733atKkSQX2v/TSS/rDH/5gQUUAABQDTxFCZShgrV+/Xl27di2wv1OnTtqwYYMFFQEAABRPmQlYZ8+eLXQ5hsDAQGVnl+CKuwAAmMnPz7vtKmzYsEHdu3dXTEyMbDabli1b5nF8wIABstlsHlvTpk09znG5XBo+fLgqV66s0NBQ9ejRQydOnPD2t1DulZmA1aBBA33wwQcF9i9atEj169e3oCIAAIqhFIcIc3JydMstt2jmzJlXPKdTp05KT093b8uXL/c4npSUpKVLl2rRokXauHGjzp49q27duik/P79Ybx+XlJlJ7uPGjdM999yjw4cP684775QkrVmzRgsXLtTixYstrg4AgCIqxXlUnTt3VufOnX/1HLvdLofDUeixrKwsvfnmm1qwYIHatWsnSXr33XcVGxur1atXq2PHjqbXXF6UmQ5Wjx49tGzZMh06dEiPPfaYRo4cqe+//15r165V7dq1rS4PAICiKWOT3NetW6eqVauqXr16GjRokMfX0m3btk0XLlxQhw4d3PtiYmLUoEEDbdq0yfRaypMy08GSpK5du7onuv/73//We++9p6SkJH377be0KgEA1wYvFxp1uVxyuVwe++x2u+x2+1Xfq3PnzvrDH/6gWrVqKS0tTePGjdOdd96pbdu2yW63y+l0KigoqMAalNHR0XI6nV69j/KuzHSwLlu7dq0eeOABxcTEaObMmerSpYu2bt1qdVkAAJSKlJQURUZGemwpKSnFulefPn3UtWtXNWjQQN27d9cXX3yhAwcO6PPPP//V6wzDkI0lI7xSJjpYJ06c0Pz58/XWW28pJydHvXv31oULF7RkyRImuAMAri1eBpMxY8ZoxIgRHvuK070qTLVq1VSrVi0dPHhQkuRwOJSXl6fMzEyPLlZGRoaaN29uymuWV5Z3sLp06aL69etr7969mjFjhn744QfNmDHD6rIAACgeL+dg2e12RUREeGxmBawff/xR3333napVqyZJatSokQIDA7Vq1Sr3Oenp6dq9ezcBy0uWd7BWrlypxx9/XEOGDFF8fLzV5QAA4J1SHFo7e/asDh065P45LS1NO3fuVFRUlKKiopScnKx77rlH1apV09GjRzV27FhVrlxZvXr1kiRFRkZq4MCBGjlypCpVqqSoqCiNGjVKCQkJ7qcKUTyWd7D+/ve/68yZM2rcuLGaNGmimTNn6tSpU1aXBQBAsdj8/LzarsbWrVvVsGFDNWzYUJI0YsQINWzYUOPHj5e/v79SU1PVs2dP1atXT/3791e9evX09ddfKzw83H2PadOmKTExUb1791aLFi0UEhKizz77TP7+/qb+Xsobm2EYhtVFSNK5c+e0aNEivfXWW/rmm2+Un5+vqVOn6uGHH/b4IFjqXJbVFQAl7tHQWKtLAErca0bJfUNI/nN/9Op6/wnzTKoEVrK8g3VZSEiIHn74YW3cuFGpqakaOXKkJk2apKpVq6pHjx5WlwcAAFBkZSZg/a8bbrhBU6ZM0YkTJ/T+++9bXQ4AAEVXxhYahTUsn+T+a/z9/ZWYmKjExESrSwEAoGgISVAZD1gAAFxzvFzJHb6BgAUAgJnoYEEELAAAzEXAgsroJHcAAIBrGR0sAADMRAcLImABAGAuJrlDBCwAAMxFBwsiYAEAYC4CFkTAAgDAXAwRQjxFCAAAYDo6WAAAmIkhQoiABQCAuQhYEAELAABzEbAgAhYAAOZikjvEJHcAAADT0cECAMBMDBFCBCwAAMxFwIIIWAAAmMvG7BsQsAAAMJcfHSwQsAAAMBcdLIinCAEAAExHBwsAADMxyR0iYAEAYC4WGoUIWAAAmIsOFkTAAgDAXExyhwhYAACYiw4WxFOEAAAApqODBQCAmZjkDhGwAAAwF0OEEAELAABzMckdKmdzsE6ePKm//OUvVpcBAPBlfjbvNviEchWwnE6nnnvuOavLAAD4Mpufdxt8gk8NEe7atetXj+/fv7+UKgEAAOWZTwWsW2+9VTabTYZhFDh2eb+NyYcAgJLEf2cgHxsirFSpkubOnau0tLQC25EjR/S3v/3N6hIBAL6uFIcIN2zYoO7duysmJkY2m03Lli3zOG4YhpKTkxUTE6Pg4GC1adNGe/bs8TjH5XJp+PDhqly5skJDQ9WjRw+dOHHC299CuedTAatRo0b64YcfVKtWrUK36tWrF9rdAgDANKU4yT0nJ0e33HKLZs6cWejxKVOmaOrUqZo5c6a2bNkih8Oh9u3b68yZM+5zkpKStHTpUi1atEgbN27U2bNn1a1bN+Xn53v1ayjvfGqIcPDgwcrJybni8Zo1a2revHmlWBEAoNwpxSHCzp07q3PnzoUeMwxD06dP1zPPPKO7775bkvT2228rOjpaCxcu1ODBg5WVlaU333xTCxYsULt27SRJ7777rmJjY7V69Wp17Nix1N6Lr/GpDlavXr30wAMPXPF4xYoV1b9//1KsCABQ7ng5ROhyuZSdne2xuVyuqy4jLS1NTqdTHTp0cO+z2+1q3bq1Nm3aJEnatm2bLly44HFOTEyMGjRo4D4HxeNTAQsAgGtdSkqKIiMjPbaUlJSrvo/T6ZQkRUdHe+yPjo52H3M6nQoKClLFihWveA6Kx6eGCAEAsJyXi4WOGTNGI0aM8Nhnt9uLfb9fPj1flCfqeeree3SwAAAwk5dDhHa7XRERER5bcQKWw+GQpAKdqIyMDHdXy+FwKC8vT5mZmVc8B8VDwAIAwEw2m3ebSeLi4uRwOLRq1Sr3vry8PK1fv17NmzeXdOnp+8DAQI9z0tPTtXv3bvc5KB6GCAEAMFMpft3N2bNndejQIffPaWlp2rlzp6KiolSzZk0lJSVp4sSJio+PV3x8vCZOnKiQkBD169dPkhQZGamBAwdq5MiRqlSpkqKiojRq1CglJCS4nypE8fhkwFqxYoXCwsLUsmVLSdKsWbM0d+5c1a9fX7NmzSowmQ8AANOU4hc2b926VW3btnX/fHnuVv/+/TV//nyNHj1aubm5euyxx5SZmakmTZpo5cqVCg8Pd18zbdo0BQQEqHfv3srNzdVdd92l+fPny9/fv9Tehy+yGT648mZCQoImT56sLl26KDU1VbfffrtGjBihtWvX6qabbir+WljnsswtFCiDHg2NtboEoMS9ZmSX2L3zP5vj1fX+3YeYVAms5JMdrLS0NNWvX1+StGTJEnXr1k0TJ07U9u3b1aVLF4urAwD4tFIcIkTZ5ZOfgqCgIJ07d06StHr1avcCalFRUcrOLrl/tQAAUFYmucNaPtnBatmypUaMGKEWLVrom2++0QcffCBJOnDggGrUqGFxdfgtCz9crPcXf6zvf0iXJMXXidNjf3pErVvyRAuuDa0eHahWQwaqUu2akqT0Pf/S53+ZrD0rVskvIEA9XxinBl06qHKd2srNyta/Vq/T0qcnKCv9v4/TR0RX1d0vvaCb2rdVhfAwndx/UCsm/lXbl3xi1dtCUfn5ZO8CV8knPwUzZ85UQECAFi9erDlz5qh69eqSpC+++EKdOnWyuDr8Fkd0tEYNH6ol783Xkvfmq+kdjTX0z6N08PBhq0sDiiTzxPda9nSyUhq3UUrjNtq/dr2GfPK+qtW/UUEhIap52y1a/vwUTbzt93r97gdUtV5dPfbpIo97/HHB/8lxQ7zm9Oir5xOaacfHn+mRD+Yr9tbfWfSuUGR0sCAfneReYpjkbpk7WrfTk0nD9YdePa0uxecxyb1k/PXHY1ry5LPa9NaCAsdqNb5NY7as05ia9ZX53QlJ0vQzP+j9ISP0z3f/G7xePn1UH48eV+g9cHVKdJL7l8V8kOo//Dv+0aRKYCWf7GBt375dqamp7p8/+eQTJSYmauzYscrLy7OwMlyt/Px8fb5ipc7l5qrh7xKsLge4ajY/PzXuc4+CQkOU9vU3hZ4THBmhixcvKvff//1H3OGNm9Woz90KqVhRNptNjfvcowB7kA6s21hapQPwgk/OwRo8eLCefvppJSQk6MiRI+rbt6969eqljz76SOfOndP06dOtLhG/Yf/BQ+rbf6BceXkKCQ7WrL9OUd3r61hdFlBkMQ3qa/TXqxVYoYJcZ8/q9V73K33f/gLnBdjt6jUpWVsWfqTzZ86498/tM0CDPpivqT8dU/6FC8o7d06v97pfp4+klebbQHEwzAf56BBhZGSktm/fruuvv16TJ0/W2rVr9eWXX+of//iH+vbtq+++++437+FyueRyuTz22fPPe/WFmyi6vAsXlJ7uVPaZM1q55it9tPQTvfvGa4SsUsAQoTn8AwMVVTNWwddF6rZ7eqjFI/01tXVnj5DlFxCgP330jqJq1tDUNl09AlafV19S7TsaadnY53T29I+6NbGb7vrzY3r59530w+69Vrwln1KiQ4Sr3/Hqev92D5lUCazkk0OEhmHo4sWLki4t03B57avY2FidPn26SPdISUlRZGSkx5by8tQSqxmeggIDVatmrBJurq+Rjw/VjfXi9c77H1hdFlBk+Rcu6NThIzq+bYeWjX1OJ75NVdsn/ruApF9AgP704duqHFdLr7RP9AhXlevEqe3wwXrn4ce0f+16fb9rtz7/yyQd27pDbYYOsuLt4GowyR3y0SHCxo0b64UXXlC7du20fv16zZlzaVXdtLS0In87+JgxY9xfOXCZPf+86bWiaAwZzJ/DNc1msynwPx3wy+GqSvz1mta2q3J++snj3KCQYEmS8Z9/KF52Mf+ibCwBUPax0CjkowFr+vTpuv/++7Vs2TI988wzqlu3riRp8eLFRf52cLvdXnA48JzPjaaWSVNnzFarFs3kcEQrJ+ecln+5Ut9s3a43Zr1idWlAkfR8cbz2fLFKmd99L3t4mG7ve4/qtfm9ZnS6W37+/hq8eIFib7tFs7r1lp+/vyKiq0qScn7KVP6FC3L+64AyDh7W/a+/oiWjntXZH3/SrYlddVP7tprdrbfF7w6/iS4U5KNzsK7k/Pnz8vf3V2BgYPFuwDINpWJs8vPa/M1WZZw+rfCwMN0QX1eD/viQWjRtYnVp5QJzsLz34BszdeNdrRVRzaHcrGx9v2u3Vk6ern2rv1KlWjX14tHdhV43tU0XHVh/6SnBqnWvV+KkZNVt2Uz2sFCdOnREq16e4bFsA4qvROdgfbXQq+v92/YzqRJYqVwFLK8RsFAOELBQHpRowFrnXQj2b9PXpEpgJZ8cIszPz9e0adP04Ycf6vjx4wXm7vz0i/kOAACYxo8hQvjoU4TPPfecpk6dqt69eysrK0sjRozQ3XffLT8/PyUnJ1tdHgDAl9n8vNvgE3zy/8n33ntPc+fO1ahRoxQQEKD77rtPb7zxhsaPH6/NmzdbXR4AwJexTAPkowHL6XQqIeHS16qEhYUpK+vS3Klu3brp888/t7I0AICvo4MF+WjAqlGjhtLT0yVJdevW1cqVKyVJW7ZsYSV2AABQ4nwyYPXq1Utr1qyRJD3xxBMaN26c4uPj9dBDD+nhhx+2uDoAgC+z2WxebfANPvkU4aRJk9x/vvfee1WjRg1t2rRJdevWVY8ePSysDADg8xjmg3w0YP1S06ZN1bRpU6vLAACUBwQsyIcC1qefflrkc+liAQBKDOtgQT4UsBITE4t0ns1mU35+fskWAwAov+hgQT4UsC7+4lvnAQAArOIzAQsAgDKBJwEhH1umYe3atapfv76yswt+iWdWVpZuvvlmbdiwwYLKAADlBguNQj4WsKZPn65BgwYpIiKiwLHIyEgNHjxY06ZNs6AyAEC5wVflQD4WsL799lt16tTpisc7dOigbdu2lWJFAIByhw4W5GNzsE6ePKnAwMArHg8ICNCpU6dKsSIAQLnDMg2Qj3WwqlevrtTU1Cse37Vrl6pVq1aKFQEAgPLIpwJWly5dNH78eJ0/f77AsdzcXE2YMEHdunWzoDIAQLnBECEk2QzDMKwuwiwnT57UbbfdJn9/fw0bNkw33HCDbDab9u3bp1mzZik/P1/bt29XdHR08V7gXJa5BQNl0KOhsVaXAJS414yCT5ub5WLqOq+u90toY0YZsJhPzcGKjo7Wpk2bNGTIEI0ZM0aXs6PNZlPHjh01e/bs4ocrAACKgi4U5GMBS5Jq1aql5cuXKzMzU4cOHZJhGIqPj1fFihWtLg0AUB6w1ALkgwHrsooVK+r222+3ugwAQHlDBwvysUnuAAAAZQEBCwAAM/n5ebcVUXJysmw2m8fmcDjcxw3DUHJysmJiYhQcHKw2bdpoz549JfGOUQgCFgAAJvpl6Lna7WrcfPPNSk9Pd2//uxbklClTNHXqVM2cOVNbtmyRw+FQ+/btdebMGbPfMgrhs3OwAACwRCnOwQoICPDoWl1mGIamT5+uZ555Rnfffbck6e2331Z0dLQWLlyowYMHl1qN5RUdLAAAzOTllz27XC5lZ2d7bC6Xq9CXOnjwoGJiYhQXF6e+ffvqyJEjkqS0tDQ5nU516NDBfa7dblfr1q21adOmUvk1lHcELAAAzOTlSu4pKSmKjIz02FJSUgq8TJMmTfTOO+/oyy+/1Ny5c+V0OtW8eXP9+OOPcjqdklRg7cfo6Gj3MZQshggBAChDxowZoxEjRnjss9vtBc7r3Lmz+88JCQlq1qyZrr/+er399ttq2rSpJBWY02UYxlXP80Lx0MECAMBMXg4R2u12RUREeGyFBaxfCg0NVUJCgg4ePOiel/XLblVGRgbfaFJKCFgAAJiplJZp+CWXy6V9+/apWrVqiouLk8Ph0KpVq9zH8/LytH79ejVv3tyMd4nfwBAhAABmKqUhuFGjRql79+6qWbOmMjIy9MILLyg7O1v9+/eXzWZTUlKSJk6cqPj4eMXHx2vixIkKCQlRv379SqW+8o6ABQCAmUppmYYTJ07ovvvu0+nTp1WlShU1bdpUmzdvVq1atSRJo0ePVm5urh577DFlZmaqSZMmWrlypcLDw0ulvvLOZhiGYXUR14xzWVZXAJS4R0NjrS4BKHGvGdkldm/jWOpvn/QrbLUSTKoEVqKDBQCAmXhKDyJgAQBgMgIWCFgAAJiLDhZEwAIAwFwELIiABQCAyQhYYKFRAAAA09HBAgDATAwRQgQsAADMRb6CCFgAAJiMhAUCFgAA5mKIECJgAQBgLgIWxFOEAAAApqODBQCAqehggYAFAIC5GCKECFgAAJiMgAUCFgAA5qKDBRGwAAAwFwEL4ilCAAAA09HBAgDAVHSwQMACAMBUNoYIIQIWAADmImBBBCwAAExGwAIBCwAAc9HBgniKEAAAwHR0sAAAMBMdLIiABQCAyQhYIGABAGAuOlgQAQsAAHORryACFgAAJiNhgacIAQAATEcHCwAAMzEHCyJgAQBgLgIWRMACAMBkBCwQsAAAMBcdLIiABQCAuQhYEE8RAgAAmI4OFgAApqKDBQIWAADmYogQkmyGYRhWFwEUxuVyKSUlRWPGjJHdbre6HKBE8DkHfBMBC2VWdna2IiMjlZWVpYiICKvLAUoEn3PANzHJHQAAwGQELAAAAJMRsAAAAExGwEKZZbfbNWHCBCb+wqfxOQd8E5PcAQAATEYHCwAAwGQELAAAAJMRsAAAAExGwEKpsNlsWrZsmdVlACWKzzmAywhY8JrT6dTw4cNVp04d2e12xcbGqnv37lqzZo3VpUmSDMNQcnKyYmJiFBwcrDZt2mjPnj1Wl4VrTFn/nH/88cfq2LGjKleuLJvNpp07d1pdElCuEbDglaNHj6pRo0Zau3atpkyZotTUVK1YsUJt27bV0KFDrS5PkjRlyhRNnTpVM2fO1JYtW+RwONS+fXudOXPG6tJwjbgWPuc5OTlq0aKFJk2aZHUpACTJALzQuXNno3r16sbZs2cLHMvMzHT/WZKxdOlS98+jR4824uPjjeDgYCMuLs549tlnjby8PPfxnTt3Gm3atDHCwsKM8PBw47bbbjO2bNliGIZhHD161OjWrZtx3XXXGSEhIUb9+vWNzz//vND6Ll68aDgcDmPSpEnufefPnzciIyON1157zct3j/KirH/O/1daWpohydixY0ex3y8A7wVYnO9wDfvpp5+0YsUKvfjiiwoNDS1w/LrrrrviteHh4Zo/f75iYmKUmpqqQYMGKTw8XKNHj5Yk3X///WrYsKHmzJkjf39/7dy5U4GBgZKkoUOHKi8vTxs2bFBoaKj27t2rsLCwQl8nLS1NTqdTHTp0cO+z2+1q3bq1Nm3apMGDB3vxG0B5cC18zgGUPQQsFNuhQ4dkGIZuvPHGq7722Wefdf+5du3aGjlypD744AP3f3iOHz+uJ5980n3v+Ph49/nHjx/XPffco4SEBElSnTp1rvg6TqdTkhQdHe2xPzo6WseOHbvqulH+XAufcwBlD3OwUGzGf74EwGazXfW1ixcvVsuWLeVwOBQWFqZx48bp+PHj7uMjRozQI488onbt2mnSpEk6fPiw+9jjjz+uF154QS1atNCECRO0a9eu33y9X9ZoGEax6kb5cy19zgGUHQQsFFt8fLxsNpv27dt3Vddt3rxZffv2VefOnfW3v/1NO3bs0DPPPKO8vDz3OcnJydqzZ4+6du2qtWvXqn79+lq6dKkk6ZFHHtGRI0f04IMPKjU1VY0bN9aMGTMKfS2HwyHpv52syzIyMgp0tYDCXAufcwBlkKUzwHDN69Sp01VP/n355ZeNOnXqeJw7cOBAIzIy8oqv07dvX6N79+6FHnv66aeNhISEQo9dnuQ+efJk9z6Xy8Ukd1yVsv45/19McgfKBjpY8Mrs2bOVn5+vO+64Q0uWLNHBgwe1b98+vfrqq2rWrFmh19StW1fHjx/XokWLdPjwYb366qvuf7VLUm5uroYNG6Z169bp2LFj+sc//qEtW7bopptukiQlJSXpyy+/VFpamrZv3661a9e6j/2SzWZTUlKSJk6cqKVLl2r37t0aMGCAQkJC1K9fP/N/IfBJZf1zLl2ajL9z507t3btXkrR//37t3LmzQPcWQCmxOuHh2vfDDz8YQ4cONWrVqmUEBQUZ1atXN3r06GF89dVX7nP0i8fXn3zySaNSpUpGWFiY0adPH2PatGnuf9m7XC6jb9++RmxsrBEUFGTExMQYw4YNM3Jzcw3DMIxhw4YZ119/vWG3240qVaoYDz74oHH69Okr1nfx4kVjwoQJhsPhMOx2u9GqVSsjNTW1JH4V8GFl/XM+b948Q1KBbcKECSXw2wDwW2yG8Z8ZnAAAADAFQ4QAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFlCOJScn69Zbb3X/PGDAACUmJpZ6HUePHpXNZtPOnTtL/bUBoCQQsIAyaMCAAbLZbLLZbAoMDFSdOnU0atQo5eTklOjrvvLKK5o/f36RziUUAcCVBVhdAIDCderUSfPmzdOFCxf097//XY888ohycnI0Z84cj/MuXLigwMBAU14zMjLSlPsAQHlHBwsoo+x2uxwOh2JjY9WvXz/df//9WrZsmXtY76233lKdOnVkt9tlGIaysrL0pz/9SVWrVlVERITuvPNOffvttx73nDRpkqKjoxUeHq6BAwfq/PnzHsd/OUR48eJFTZ48WXXr1pXdblfNmjX14osvSpLi4uIkSQ0bNpTNZlObNm3c182bN0833XSTKlSooBtvvFGzZ8/2eJ1vvvlGDRs2VIUKFdS4cWPt2LHDxN8cAFiPDhZwjQgODtaFCxckSYcOHdKHH36oJUuWyN/fX5LUtWtXRUVFafny5YqMjNTrr7+uu+66SwcOHFBUVJQ+/PBDTZgwQbNmzdLvf/97LViwQK+++qrq1KlzxdccM2aM5s6dq2nTpqlly5ZKT0/Xv/71L0mXQtIdd9yh1atX6+abb1ZQUJAkae7cuZowYYJmzpyphg0baseOHRo0aJBCQ0PVv39/5eTkqFu3brrzzjv17rvvKi0tTU888UQJ//YAoJRZ/GXTAArRv39/o2fPnu6f//nPfxqVKlUyevfubUyYMMEIDAw0MjIy3MfXrFljREREGOfPn/e4z/XXX2+8/vrrhmEYRrNmzYxHH33U43iTJk2MW265pdDXzc7ONux2uzF37txCa0xLSzMkGTt27PDYHxsbayxcuNBj3/PPP280a9bMMAzDeP31142oqCgjJyfHfXzOnDmF3gsArlUMEQJl1N/+9jeFhYWpQoUKatasmVq1aqUZM2ZIkmrVqqUqVaq4z922bZvOnj2rSpUqKSwszL2lpaXp8OHDkqR9+/apWbNmHq/xy5//1759++RyuXTXXXcVueZTp07pu+++08CBAz3qeOGFFzzquOWWWxQSElKkOgDgWsQQIVBGtW3bVnPmzFFgYKBiYmI8JrKHhoZ6nHvx4kVVq1ZN69atK3Cf6667rlivHxwcfNXXXLx4UdKlYcImTZp4HLs8lGkYRrHqAYBrCQELKKNCQ0NVt27dIp172223yel0KiAgQLVr1y70nJtuukmbN2/WQw895N63efPmK94zPj5ewcHBWrNmjR555JECxy/PucrPz3fvi46OVvXq1XXkyBHdf//9hd63fv36WrBggXJzc90h7tfqAIBrEUOEgA9o166dmjVrpsTERH355Zc6evSoNm3apGeffVZbt26VJD3xxBN666239NZbb+nAgQOaMGGC9uzZc8V7VqhQQU899ZRGjx6td955R4cPH9bmzZv15ptvSpKqVq2q4OBgrVixQidPnlRWVpakS4uXpqSk6JVXXtGBAweUmpqqefPmaerUqZKkfv36yc/PTwMHDtTevXu1fPlyvfzyyyX8GwKA0kXAAnyAzWbT8uXL1apVKz388MOqV6+e+vbtq6NHjyo6OlqS1KdPH40fP15PPfWUGjVqpGPHjmnIkCG/et9x48Zp5MiRGj9+vG666Sb16dNHGRkZkqSAgAC9+uqrev311xUTE6OePXtKkh555BG98cYbmj9/vhISEtS6dWvNnz/fvaxDWFiYPvvsM+3du1cNGzbUM888o8mTJ5fgbwcASp/NYEIEAACAqehgAQAAmIyABQAAYDICFgAAgMn+H+jmXrchBag/AAAAAElFTkSuQmCC" alt="Confusion Matrix"> | |
| </div> | |
| </div> | |
| </div> | |
| </body> | |
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