From b370d2e54b8742b1789bfd55d32f717c554defe3 Mon Sep 17 00:00:00 2001 From: moweilin Date: Fri, 27 Sep 2024 16:41:18 +0000 Subject: [PATCH] =?UTF-8?q?=E6=B7=BB=E5=8A=A0train.ipynb?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .gitignore | 1 + .vscode/settings.json | 3 + README.md | 12 + dataset/instances_default.json | 1 + palm-print-recognition.ipynb | 1317 ++++ train.ipynb | 11300 +++++++++++++++++++++++++++++++ 6 files changed, 12634 insertions(+) create mode 100644 .gitignore create mode 100644 .vscode/settings.json create mode 100644 README.md create mode 100644 dataset/instances_default.json create mode 100644 palm-print-recognition.ipynb create mode 100644 train.ipynb diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..fb9df04 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +/.venv \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..3b66410 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,3 @@ +{ + "git.ignoreLimitWarning": true +} \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..6a7db84 --- /dev/null +++ b/README.md @@ -0,0 +1,12 @@ +## 依赖 +### 安装pytorch +``` +pip3 install torch torchvision torchaudio +``` +### 安装matplotlib + +``` +``` +### 安装pandas +``` +``` \ No newline at end of file diff --git a/dataset/instances_default.json b/dataset/instances_default.json new file mode 100644 index 0000000..c8a5d72 --- /dev/null +++ b/dataset/instances_default.json @@ -0,0 +1 @@ +{"licenses":[{"name":"","id":0,"url":""}],"info":{"contributor":"","date_created":"","description":"","url":"","version":"","year":""},"categories":[{"id":1,"name":"palmprint","supercategory":""}],"images":[{"id":1,"width":2448,"height":3264,"file_name":"Birjand University Mobile Palmprint Database 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\ No newline at end of file diff --git a/palm-print-recognition.ipynb b/palm-print-recognition.ipynb new file mode 100644 index 0000000..f5785f7 --- /dev/null +++ b/palm-print-recognition.ipynb @@ -0,0 +1,1317 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "690ca928", + "metadata": { + "papermill": { + "duration": 0.003601, + "end_time": "2024-06-28T11:32:17.166718", + "exception": false, + "start_time": "2024-06-28T11:32:17.163117", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "# **Veri Ön İşleme,Modelin Eğitimi ve Segmentasyon İşlemlerinin Yapıldığı Bölüm**" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "dce62134", + "metadata": { + "execution": { + "iopub.execute_input": "2024-06-28T11:32:17.174888Z", + "iopub.status.busy": "2024-06-28T11:32:17.174537Z", + "iopub.status.idle": "2024-06-28T11:33:43.949098Z", + "shell.execute_reply": "2024-06-28T11:33:43.948207Z" + }, + "papermill": { + "duration": 86.783635, + "end_time": "2024-06-28T11:33:43.953568", + "exception": false, + "start_time": "2024-06-28T11:32:17.169933", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-06-28 11:32:20.321863: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "2024-06-28 11:32:20.321961: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "2024-06-28 11:32:20.445729: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/keras/src/layers/convolutional/base_conv.py:99: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/100\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:120: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n", + " self._warn_if_super_not_called()\n", + "2024-06-28 11:32:50.209400: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 3.39151, expected 2.7295\n", + "2024-06-28 11:32:50.209456: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 3.36773, expected 2.70572\n", + "2024-06-28 11:32:50.209473: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 2: 3.08268, expected 2.42067\n", + "2024-06-28 11:32:50.209486: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 3.1679, expected 2.50589\n", + "2024-06-28 11:32:50.209497: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 2.96544, expected 2.30343\n", + "2024-06-28 11:32:50.209535: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 2.78427, expected 2.12226\n", + "2024-06-28 11:32:50.209545: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 2.73395, expected 2.07194\n", + "2024-06-28 11:32:50.209555: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 2.30386, expected 1.64185\n", + "2024-06-28 11:32:50.209566: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 1.89871, expected 1.2367\n", + "2024-06-28 11:32:50.209576: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 2.62584, expected 1.96383\n", + "2024-06-28 11:32:50.216831: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n", + "(f32[32,32,126,126]{3,2,1,0}, u8[0]{0}) custom-call(f32[32,1,128,128]{3,2,1,0}, f32[32,1,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=2,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n", + "2024-06-28 11:32:50.216872: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n", + "2024-06-28 11:32:50.216885: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n", + "2024-06-28 11:32:50.216901: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n", + "2024-06-28 11:32:50.216911: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: \n", + "2024-06-28 11:32:50.216931: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n", + "2024-06-28 11:32:50.479586: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 3.39151, expected 2.7295\n", + "2024-06-28 11:32:50.479651: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 3.36773, expected 2.70572\n", + "2024-06-28 11:32:50.479665: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 2: 3.08268, expected 2.42067\n", + "2024-06-28 11:32:50.479679: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 3.1679, expected 2.50589\n", + "2024-06-28 11:32:50.479696: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 2.96544, expected 2.30343\n", + "2024-06-28 11:32:50.479707: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 2.78427, expected 2.12226\n", + "2024-06-28 11:32:50.479718: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 2.73395, expected 2.07194\n", + "2024-06-28 11:32:50.479728: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 2.30386, expected 1.64185\n", + "2024-06-28 11:32:50.479739: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 1.89871, expected 1.2367\n", + "2024-06-28 11:32:50.479749: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 2.62584, expected 1.96383\n", + "2024-06-28 11:32:50.486749: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n", + "(f32[32,32,126,126]{3,2,1,0}, u8[0]{0}) custom-call(f32[32,1,128,128]{3,2,1,0}, f32[32,1,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=2,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n", + "2024-06-28 11:32:50.486781: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n", + "2024-06-28 11:32:50.486796: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n", + "2024-06-28 11:32:50.486810: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n", + "2024-06-28 11:32:50.486824: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: \n", + "2024-06-28 11:32:50.486844: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m 3/10\u001b[0m \u001b[32m━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - accuracy: 0.0382 - loss: 4.8435 " + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", + "I0000 00:00:1719574375.541145 66 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n", + "2024-06-28 11:32:58.409778: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 66: 1.00346, expected 0.767333\n", + "2024-06-28 11:32:58.409834: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 324: 1.21269, expected 0.976564\n", + "2024-06-28 11:32:58.409844: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 424: 1.29739, expected 1.06126\n", + "2024-06-28 11:32:58.409852: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 464: 1.18675, expected 0.950618\n", + "2024-06-28 11:32:58.409861: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 658: 1.09255, expected 0.85642\n", + "2024-06-28 11:32:58.409869: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 676: 1.32535, expected 1.08922\n", + "2024-06-28 11:32:58.409877: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 832: 1.33263, expected 1.0965\n", + "2024-06-28 11:32:58.409884: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 833: 1.26772, expected 1.03159\n", + "2024-06-28 11:32:58.409893: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 933: 1.30144, expected 1.06531\n", + "2024-06-28 11:32:58.409901: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1071: 1.1675, expected 0.931367\n", + "2024-06-28 11:32:58.409921: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n", + "(f32[9,32,126,126]{3,2,1,0}, u8[0]{0}) custom-call(f32[9,1,128,128]{3,2,1,0}, f32[32,1,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=2,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n", + "2024-06-28 11:32:58.409929: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n", + "2024-06-28 11:32:58.409936: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n", + "2024-06-28 11:32:58.409942: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n", + "2024-06-28 11:32:58.409949: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: \n", + "2024-06-28 11:32:58.409961: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n", + "2024-06-28 11:32:58.453982: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 66: 1.00346, expected 0.767333\n", + "2024-06-28 11:32:58.454034: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 324: 1.21269, expected 0.976564\n", + "2024-06-28 11:32:58.454044: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 424: 1.29739, expected 1.06126\n", + "2024-06-28 11:32:58.454052: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 464: 1.18675, expected 0.950618\n", + "2024-06-28 11:32:58.454060: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 658: 1.09255, expected 0.85642\n", + "2024-06-28 11:32:58.454068: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 676: 1.32535, expected 1.08922\n", + "2024-06-28 11:32:58.454076: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 832: 1.33263, expected 1.0965\n", + "2024-06-28 11:32:58.454084: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 833: 1.26772, expected 1.03159\n", + "2024-06-28 11:32:58.454092: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 933: 1.30144, expected 1.06531\n", + "2024-06-28 11:32:58.454100: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1071: 1.1675, expected 0.931367\n", + "2024-06-28 11:32:58.454117: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n", + "(f32[9,32,126,126]{3,2,1,0}, u8[0]{0}) custom-call(f32[9,1,128,128]{3,2,1,0}, f32[32,1,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=2,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n", + "2024-06-28 11:32:58.454126: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n", + "2024-06-28 11:32:58.454137: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n", + "2024-06-28 11:32:58.454146: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n", + "2024-06-28 11:32:58.454157: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: \n", + "2024-06-28 11:32:58.454176: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 973ms/step - accuracy: 0.0178 - loss: 4.9229 - val_accuracy: 0.0135 - val_loss: 4.6006\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 23ms/step - accuracy: 0.0027 - loss: 4.7489 - val_accuracy: 0.0101 - val_loss: 4.6179\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 21ms/step - accuracy: 0.0147 - loss: 4.6491 - val_accuracy: 0.0034 - val_loss: 4.5676\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0143 - loss: 4.6457 - val_accuracy: 0.0236 - val_loss: 4.5614\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 25ms/step - accuracy: 0.0248 - loss: 4.5772 - val_accuracy: 0.0337 - val_loss: 4.5167\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 23ms/step - accuracy: 0.0322 - loss: 4.5698 - val_accuracy: 0.0269 - val_loss: 4.5171\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0188 - loss: 4.5576 - val_accuracy: 0.0269 - val_loss: 4.4688\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0196 - loss: 4.5193 - val_accuracy: 0.0505 - val_loss: 4.4170\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0317 - loss: 4.5198 - val_accuracy: 0.0438 - val_loss: 4.4046\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 21ms/step - accuracy: 0.0330 - loss: 4.5106 - val_accuracy: 0.0303 - val_loss: 4.3569\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0383 - loss: 4.4643 - val_accuracy: 0.0438 - val_loss: 4.2988\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0308 - loss: 4.4523 - val_accuracy: 0.0808 - val_loss: 4.1871\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0343 - loss: 4.4561 - val_accuracy: 0.0943 - val_loss: 4.1660\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0476 - loss: 4.4131 - val_accuracy: 0.0842 - val_loss: 4.0972\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 20ms/step - accuracy: 0.0338 - loss: 4.3517 - val_accuracy: 0.1178 - val_loss: 4.0847\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 21ms/step - accuracy: 0.0652 - loss: 4.2591 - val_accuracy: 0.1178 - val_loss: 3.8928\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 23ms/step - accuracy: 0.0620 - loss: 4.1339 - val_accuracy: 0.1044 - val_loss: 4.0439\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0608 - loss: 4.2871 - val_accuracy: 0.1481 - val_loss: 3.8089\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0467 - loss: 4.1965 - val_accuracy: 0.1448 - val_loss: 3.8640\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0953 - loss: 4.1793 - val_accuracy: 0.1582 - val_loss: 3.7347\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0963 - loss: 4.0665 - val_accuracy: 0.2020 - val_loss: 3.7330\n", + "Epoch 22/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.0738 - loss: 4.1136 - val_accuracy: 0.1616 - val_loss: 3.6258\n", + "Epoch 23/100\n", + "\u001b[1m10/10\u001b[0m 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4576 - loss: 2.3689 \n", + "Test Accuracy: 47.81%\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-06-28 11:33:41.443346: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 3.1741, expected 2.5385\n", + "2024-06-28 11:33:41.443402: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 3.24319, expected 2.60759\n", + "2024-06-28 11:33:41.443411: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 2: 3.92487, expected 3.28927\n", + "2024-06-28 11:33:41.443419: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 3.25447, expected 2.61887\n", + "2024-06-28 11:33:41.443427: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 3.2287, expected 2.5931\n", + "2024-06-28 11:33:41.443434: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 3.2258, expected 2.5902\n", + "2024-06-28 11:33:41.443442: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 2.9688, expected 2.3332\n", + "2024-06-28 11:33:41.443450: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 2.49071, expected 1.85511\n", + "2024-06-28 11:33:41.443458: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 2.02039, expected 1.38479\n", + "2024-06-28 11:33:41.443466: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 2.46596, expected 1.83036\n", + "2024-06-28 11:33:41.443482: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n", + "(f32[1,32,126,126]{3,2,1,0}, u8[0]{0}) custom-call(f32[1,1,128,128]{3,2,1,0}, f32[32,1,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=2,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n", + "2024-06-28 11:33:41.443490: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n", + "2024-06-28 11:33:41.443504: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n", + "2024-06-28 11:33:41.443512: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n", + "2024-06-28 11:33:41.443522: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: \n", + "2024-06-28 11:33:41.443536: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n", + "2024-06-28 11:33:41.468340: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 3.1741, expected 2.5385\n", + "2024-06-28 11:33:41.468383: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 3.24319, expected 2.60759\n", + "2024-06-28 11:33:41.468393: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 2: 3.92487, expected 3.28927\n", + "2024-06-28 11:33:41.468401: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 3.25447, expected 2.61887\n", + "2024-06-28 11:33:41.468408: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 3.2287, expected 2.5931\n", + "2024-06-28 11:33:41.468416: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 3.2258, expected 2.5902\n", + "2024-06-28 11:33:41.468423: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 2.9688, expected 2.3332\n", + "2024-06-28 11:33:41.468431: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 2.49071, expected 1.85511\n", + "2024-06-28 11:33:41.468438: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 2.02039, expected 1.38479\n", + "2024-06-28 11:33:41.468447: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 2.46596, expected 1.83036\n", + "2024-06-28 11:33:41.468464: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n", + "(f32[1,32,126,126]{3,2,1,0}, u8[0]{0}) custom-call(f32[1,1,128,128]{3,2,1,0}, f32[32,1,3,3]{3,2,1,0}, f32[32]{0}), window={size=3x3}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=2,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n", + "2024-06-28 11:33:41.468473: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n", + "2024-06-28 11:33:41.468480: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n", + "2024-06-28 11:33:41.468486: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n", + "2024-06-28 11:33:41.468505: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: \n", + "2024-06-28 11:33:41.468521: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 599ms/step\n", + "Predicted Class: 2\n" + ] + }, + { + "data": { + "image/png": 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Hb9ZWEclmzpzZYd6qVasyEcn+9V//1bW/f/7zn7PTTz8922233bJhw4Zlzc3N2bvf/e7sy1/+cnbvvfdutvzjjz+eHXDAAdlWW22VbbHFFtknP/nJ7P777695DB955JGa2/z5z3+e7b777tmQIUOy973vfdmPfvSjmseo1v5l2VvHo/14tfuXf/mX7J3vfGfW2NjY4fi98cYb2fHHH5+NHDkyGz58eHb00UdnL774YiYi2bnnnptlWZZt2LAhO/3007M999wzGz58eLbllltme+65Z7Z48eLNtn3JJZdk73znO7Pm5uZsv/32yx599NHsE5/4RPaJT3zCOMIAAKDKZs6cuVkfJcuy7Kqrrsr22muvbNiwYdnw4cOzPfbYIzvjjDOyF154Icuyt/pMxxxzTLbjjjtmzc3N2XbbbZcdcsgh2aOPPtphPffff3+21157ZUOGDOnQP+kK/Tf6b6ifhixzjP4CVNCtt94qRxxxhNx3332y33771bs5AAAAAICC8DID/cKbb77ZYcTn1tZW+cxnPiOPPvqorF69uuZo0AAAAACAamLMDPQLs2fPljfffFMmTpwoGzZskOXLl8v9998v3/nOd3iRAQAAAAD9DJEZ6BduuOEGueSSS+TZZ5+V9evXy3vf+16ZPn26zJo1q95NAwAAAAAUjJcZAAAAAACgUhrrufFFixbJTjvtJEOHDpV9991XHn744Xo2BwAAAAWhnwcAKFPdXmbcfPPNMnfuXDn33HPl8ccflz333FMOOOAAefHFF+vVJAAAABSAfh4AoGx1SzPZd9995SMf+YhcccUVIiLS1tYm48ePl9mzZ8tZZ53V5Wfb2trkhRdekOHDh0tDQ0NvNBcA0EdkWSavvvqqjBs3Thob6xpgCMBAPw8A0BORfl5dqpls3LhRHnvsMTn77LPzeY2NjTJp0iR54IEHuv38Cy+8IOPHjy+ziQCAPu7555+XHXbYod7NANAJ/TwAQCpPP68uLzNeeuklaW1tlTFjxnSYP2bMGHnqqac2W37Dhg2yYcOG/L/bg0nOPfdcGTp0aIdl9Rv83nybH93WoEGD8mkdHGNNa55lUtpmsd6MtbW1hT5r7btej56v26/X09raWnNbnv2NHjdru3o9er80a788+2utpyvWvnk+X9S54rkO9Xx9TPVx1Mt4rgfrO9PrtM4/a7u6bdZ3r6f1Mp7v0mqzte/WeaNZ56Jmfdbarue+44mS0Ov3XAO1trt+/Xq54IILZPjw4d1uD0DvK6qfd9VVV8kWW2xh3n+K6vNF7j89Wae+J+v7pLX+wYMH15zeuHFjPj1kyJB8Wt9LW1paam5Xz9es5471bPLc563noKcPp1nfi/XsiD7XPH0M67vz9ImjfSGvon4fWO2wjtGmTZvyab3/Vv9Sz9fTnr6UtR6rf6bbpqc1vf6mpqaa69TXmJ7f3NycT1v9SOucSLlnefph1vHx9AWj2/Wcx579ta7h9mP45ptvyuzZs139vLq8zIiaN2+efPvb395s/tChQ5NfZljLeL44z3osKS8zPD9mUtpmfdZz447+sBxoLzOsaV5mlPsyQ3cGy3iZYT2keZnR9fp7+jKj1nIAqsvq522xxRa8zDCmeZmx+TJVf5nhaU9X/zbQXmZYLzBSXmZYfUH9MkNfh33hZYZ1vel2RvXmyww93bn/6jlGdXmZsc0228igQYNkzZo1HeavWbNGxo4du9nyZ599tsydOzf/73Xr1sn48eOloaEh/2unD4J1sURvKB6e5T0/aj0vOYriOdmsh1x0nRZrW1YnwHrYR49Pyguhol6YpdzEerK9lHMr5fzzfJfRH/1aynVrPXg8L8qs9nteannOXc8LA+8LrlpSOv6eB7ZnW56XybX2sYz7IYDiFNXPa2trS7rPdcW6l1rzo88ja37K81f/APMcF/2jroyXv/pZqZ9rnhfznpcinhcMKf05vR7rB7D1Pzc8/eaUZ1WR35enP+H5bjwvvjznZTTawPrhHv2fgtY5au279WLDukdYx8G6TrwvryLKuM6jL+U8+xL9fdnlupI+3UNDhgyRvfbaS+666658Xltbm9x1110yceLEzZZvbm6WESNGdPgDAABA30M/DwDQG+qWZjJ37lw59thjZe+995Z99tlH5s+fL6+//rp85StfqVeTAAAAUAD6eQCAstXtZcbnP/95+ctf/iLf+ta3ZPXq1fLBD35Q7rjjjs0Gi+pKrTSTFNFwP894Elo0F90K1YqGKFrheB6eUMEUnlxBKxTMCu2Khjd5jomVsqRF5/dFKeG80Ry5okTTVaKhrdF8XM85nRJmXEaOeNnbstYfDS9t/+4YKwPo+4ro53Un5V7gyfPXrL6IboMel8IKJ/c8Bz0pLZ5+TDQd1wqx1/N1OoYVSm+lT3v6lJ5+Xsp4VFaf2EopsMYg8Yx9YrXNM95aZ9F+a3TMMc/vD89nPe3xrNMz37MtT4q1tbw1He3LelJqo/OjfdmiUuSjwzZYn+1u+ci9va4DgM6aNUtmzZpVzyYAAACgBPTzAABlqsuYGQAAAAAAAD1VidKsXemcZuIJfykjRSKlmoYViugpYeMJw4mGwmlWycxouL3mGVW5bJ4UIU/Yu0dvnG9FtSmaUmHxfPfRihjR0aajIXJFhftFQynLqEjiKXmXsi3rGHpSv6Kj+tcaxbyM/QPQ97RXM/FUUSgj7N1a3vqsVe4x5Rkdvd9aqSWeSmcWT1l5q2xnlCfF2tMH0DzzrXRU/Z16vpeU53JX54kn3dlTYcW7vVrbtbYVTRn1SElVSElpibbHo6jfN735O8mjr6TR962jAgAAAAAA0A1eZgAAAAAAgEqpfJqJSFq1BE/VDGsZa3mrbZoVKhQNS0wJpfKE3UVDiKzjEw1987ShqPYXlTbhaYMn5M4K6fOmMhQV9hVNu/CEqkaPl8VTPcRTHcfTzqIqmOjtRsM2o6O4e3jO6WgaiHVsrRBlSzQVCED/lGXZZtd9GSHklmg/o6j7s/VZ/ZzVzxHr3qtTP5qbm2su4+nLakOGDKm5fv1Zneried55+kaeFOWUdEjPd+R5xllSKpp1Xi7aV0hJffHsc7SCi4d1XupzzsPTR7H6Z0VVdEupDGKtx1MRp4wKgp71p6TDtH82sg4iMwAAAAAAQKXwMgMAAAAAAFRKv0gz0axQoZSRpD0j9EerQ3jWU1SYpCfMy5M+4xkJ2xOSVVS4lWed1vrLYJ0znpG5o1V4elLNJBrCFg0Ti4aqFsUTVhlNLfHMj1brsI5PSqWiMkYKT5FyX/O0v31/yw6dBNA3DBo0SAYNGhRO9bTupUXd96zKF9G02KIqYljb1eke1vKefbHu7Xr9Vvh/9LmQkpZssdZj7YtmVfKz2mOl/1jpMJ4+YufPeOZ3ta5an7V+M3lSCaw0EKuPEk3Bj/4+8PzW0d/rhg0bai4T7Qd7Uo49y1h0ezz9oJSqnp57QbSSn2d/e9LPIzIDAAAAAABUCi8zAAAAAABApfS7NBNPKJm1vOYJJUsJ646GIlnr8bTBGvHWs+/WCLnREZOjrNG7i0qn0FJSkKKVSqLLa12FJerwQB0qmRIO5gkPLGqk9xQplU086/RsS7OOWxmpESlVVyyeSjye5TUr/c9aZzTdBkD/1NbWJm1tbR0qcVhpEZ7Qfc9nve2q9dmUalwpPBU6rD6xvifrSiUe1v3c2q7Vp/R8F9GUoqJSBDzt9GzL81zzng+eZ39Kdcei+isp1chaWlp6/Fn9feg+sT7/dDqMbqdePppyEk0n8fSrrPV7tusR7cenVGDxHIf2+Z5KO+2IzAAAAAAAAJXCywwAAAAAAFAplU4zaWhokIaGBld4mieUxzP6dUr4vBUepENprDSQMqqcpIQ3ekLHoikwRbWhqMoVKWkjnhSN6Heql9HhdyJ2aGg0RM5TcSMaHll2SlJR55nn2rZSnqLpHtb6o6k90XOoqFHPPalWHp77b6229Wa1HAD1M3jwYLPKhIh9n9SfiT7LPamt+lmpn8dWWz3pLSkpElYfSO+LdX+2jpVm3as9FUxS+gYp6bjWMfQ8Z1PSm61j7qlE0dW2ounynoo40WvDWo+m918vE63QY7XB0zfSaWlWxRYrnd1zfXqk9O00a9+t345WG1K2a63TI9pX7gkiMwAAAAAAQKXwMgMAAAAAAFRKpdNM2lkhRFY4ixVCVFRITZQnfCplJFmPsiuAWKwQvKLWGT1u0UolVshadORiT3i+XqapqclcrquQ3Fpt0qzQM2udKSOQW9u1FJXOFD3PrNQvK4QwmpLjOVeio+5b+1hUaKGnnR49rQhFhRNgYIlWerOWsULgrW155ntEn5WetGfNqmLmoVNFdN/C086Uflu0MoM136pc4UmZsZ7vVqqIdc54zqWUPmit/+5uXVa7Pce9qH5bT/azu/V40kCsPvL69etrztfLW9VMPP10q68cqczRmVUNztM3LeN3bUp/3aP9OEfWQWQGAAAAAACoFF5mAAAAAACASql0mkn7KNcpI+vr8DorpMWznqLC5K2Roa2qFNHqASkVNKLhhFaokw6TstZp7a9nVFzPMfGMUB5dvycU1BM66hmdvfNx81R2iY6s7ElV0KIhlNEQxWh6mMUawTo60nNRo1N7RrP37KMnvchqg2e+1bboaPPWOq10wUgbAfRP1nPNk1ocfcZZ2/U8v4pKD/Q8uy3W/dPaX/3ssPo6nmdlVDSdRNPt0dO6Dx3tw3iqv0Ur3mnW8bTW35M0k2j7oqk+ZYi2zXOdWOvx9PFTRH8fRCtDWmly1u8D616QkopSdppJT6rWEZkBAAAAAAAqhZcZAAAAAACgUiqdZtLW1pb/tWtpaam5rBV2kxKurkVTNopafzSU0hMC35s8bdBhg1Y4ZAorLM8TomcdT0/6UvS76Ml3l5IiFR0x3hPO5tkHT9pFNOzWI5r2UwbPfSoaoqhFj5vn3LXCZS2eVKvuQseL+s4BVIMn1dPqD+lKBVYqb5SVLhutSOVJEbDSTTdu3Fjzs570VKuvo+/n1n5Z93zP88WTWmJ91tqudZyt9AIrZSYqmobtWcabBmX1T61jYX3fnm1b2/L0yfT15kmH9lRH8xxHqw9u3ResyiBWnywlJSx6/lnHzUot9lTliaZFWf2zaJ/Y2pda94XIuonMAAAAAAAAlcLLDAAAAAAAUCmVTjNpbW2VTZs2hSswpFRFiI66q8OAomHd1jp1iI8VrhSt+uEJRbLCwqIhVlb1Fn2srPVYaUQe1r5YIVPRkaCjFVWsUFBP6lBPRrmOjtyekgbjWcYTmutJ94iGblrzPRV3PNenJ4zOEh11O+X+Fa0+o0VHffe0wWpPrftUNLUFQDVlWSZZliWlBK9fvz6f7mv3juh+WWky1rNDLz9kyJCa27VCyK1+STSlwvPM8vQjoyHtVjs969TLdFddS8TXd/K03+qLi9gpD9F0pmg1Ms8zW7fHShP1VJEpKvVfn/dWH19vV6eceH7rRCsVeVJUPOdZNM3Ycw1EU12ifT6LdQzb50fu1URmAAAAAACASuFlBgAAAAAAqJRKp5mIvBWaUlS1gZRQ+pSwOE84uTWCrQ7DscLOrJAvT2iXZ188oU6e0W+tkDXNM9Kx1X5P1RJPmkn0WEUrYxSV0tFZSgWIotJPPPtsheBFw+i0lDC6lOPmCecso8KQ57hFU0uK4gmV7S7ctew2Aui7rJBtzRrR30pz1SkY1nqs+dYzIppqkVLZRKfgWpVHPM81Twpud2mAXbVZ86R5eio2eNIjPH0yTx/UEk3/9IT/d7WNotKgreOizycrtV1fP9H+rxbtJ2lW26zvz6pqo1n3C0/aQzQlx2qbxVNZxmqP53eP1R7r2i4jNYZqJgAAAAAAoN/jZQYAAAAAAKiUSqeZZFkmbW1tHcJc9Ii0Hp4Qb0+VCk81EM+oyZ5qI54wfE94nbUeT7hYNGwwJdzPGmnb4qnGklL5xRMmpb+vaEhp9Jz0timFZ7RsT5hbNKRW81w/Fk+IYnSdKSGBnvPGk5oVlXIMi+JJgeuusklvthdA/TQ0NEhDQ0OHkHZPuLcVUl1UWrLFk6YRTTGIpqdG0yWstA6damBVe9DpOVY/IVrVy9MftXj6ap60DE+KjRY9l6IVUjr/d7Tynqcv6emHWteVle7hOV7WtOc696ROWev09NOL6k97zg/Peen5rGc4gTL6lNGKPtZ315P+HZEZAAAAAACgUniZAQAAAAAAKqXSaSbtrJFnNU9Ie0rosg6BTAnlsUaPtcKhPCN2e0J8ou2MHmcrDcezTitkygrT86zHk9qjWcfNOs7Wd2GFLkbTGryhbykpQ5qV5uQRTYGJVieJnrspo2trnhGpoyGfnjZ49j16fKxjEg0Vjqb8pFzPAPq/trY2aWtrM9McPPdY6z5mpbmlVOmK9rFSqpx47pnWeqy2bdy4MZ/WKSeeKhBWpRW9Ts9xjlYTiz53otXNrL6apx/lqSaodZUy4kn3sKScK9byWjSdwXMuRp/9nus5Uk2js5S+iKdfG+0DpfT/osc5pQJfdGiBniAyAwAAAAAAVAovMwAAAAAAQKVUOs0kyzLJsixpVNbo6NFlj4TtCeXTPOFHnnCuaBpFdDRui6eSiOeznjB86/vSKUJWGKAnzaevKGOUYqvyTbTiRkrbUlI2tJR0spRQuGj7o/M9I51HU4Q0T7UaT3u0lH0E0P81NjZKY2NjOLXVs4xOhYg+v6xqcx6edANLtNqXZqVD6/bodJ5oxS5tw4YN3bbTk05ipex6KoWlpMRalcWiz1lPVR2tq35wUdXIrCok0ZQET5/A6jt70nGt/dKf1RV3UlJgUvpGFmsfU9KGPantmqdinOf3bkp/zjPMQK3PRvr2RGYAAAAAAIBK4WUGAAAAAAColH6RZpIyCrU1PxpG4wlR8oRVWSH8nhAii2e/rGOowzCjPKNuWzyhb54qE7r9VmidFh312PqsZ3+jIfPeUMKiqnt4QvCscMqUdJKUUcStaSvUziMlbNUKLSwjPclz7lr3lDJSkzTPMbfucbXCdPtieheAvqmoanNl3yd7kxWi7qnAoo9ntF/r6VdZ/T9PuoDVz/P0Za2w+pSqh55jWGRaZTQVx5O24OmHefo6Vrqyp8KQ5lneUw0yWgXHs0wZqbDR36Oa5xzQPCk/nv210sM89+L2cyPS3yYyAwAAAAAAVAovMwAAAAAAQKVUOs2kfZRrraiKBx6ekWQ1T1iPFRIUTdPQovserSpiiYa4aZ4RdaMhU54RqS3WejwhmZoV4ubZl65CrsoOf/W0NaUNnvBRSxkVRspQVEizZwR4T0WfMvbdc3160kms5dv3PSX9DUC1pYTle9J39b1I32us9AotJfXSCse2KqulVMiKphl6njWa9Uy3jme0uoe1Tl3dQq/fU9XLUxUluoznuWb177s6n1N+N+i26mNnVfqxjp2nn24tb7XZqhIUrSqp2192/9JzHZaR0mKdx9GqPJ5tpaR8W+dPd2ntpJkAAAAAAIB+i5cZAAAAAACgUiodq9vQ0LBZWE50hNbO64t81jOKs7WelGnNk96iecLCPOFQ0RQPTwiaxRpJ2hN+aIXceUKjUkb+TUnXiFbMKJInbC3Kk9pgjXIdTTeypHy2qBSelKpLKdWVrJBA6zpPSYfxnN+eUO3uwiTreY0A6D3tFeuilROiVdy0aEi19dkoTxqIFWZupQh4+qkpz0FPtRGrH+apEuJJCbHSVazj4BHtM3hSwaPp6J3XaVWCiH5/VqUPT9qMtU7Nk0qgWddzU1NTzXVu3Lix2/aUPbSAh5VWZJ1PnnSjaMpZ2aztelLIrPW0H4fI8Ar0CAEAAAAAQKXwMgMAAAAAAFRK4Wkm8+bNk+XLl8tTTz0lw4YNk4997GPyve99T973vvfly6xfv16+/vWvy0033SQbNmyQAw44QBYvXixjxozp0TY9oWopIYee9XhGMrbWEw3ziqa3RJfXosck+l1Yy3jCrbobCbezIUOG1NxuSvUWzyjJqZVKPDzH1FMBwmpfNNTWs86U0N+UdCkr3cji2ZYn5DN63KxjHg3btD7rSfHw7It1rXqq/njWX2tfygghBeDTm/289jQTzZPGafUJos/BaB8oJa3D0+fT9L5En1OedGLN86yJhpPrvq/VJ/Osx9Pv1Mqu8BdNldV0+3WovnfbVnpStKJH9PuI9gU9v6Ws9VspDFZaike0X2KJpt1blZOs9JOUfluUp69ZVLW8WstH1lF4ZMY999wjM2fOlAcffFDuvPNOaWlpkc985jPy+uuv58ucdtppctttt8myZcvknnvukRdeeEEmT55cdFMAAABQIPp5AIC+ovDIjDvuuKPDf19zzTWy3XbbyWOPPSb/8A//IK+88or84Ac/kBtuuEH+8R//UURErr76atl1113lwQcflI9+9KNFNwkAAAAFoJ8HAOgrSq9m8sorr4iIyOjRo0VE5LHHHpOWlhaZNGlSvswuu+wiO+64ozzwwAOhh1x7+GFfGMXVChsqu4KBJ5zQMyJsGZUiNH1MrEoLnvV4wuY8oYvR78Izv4zvukgpYV9FVX/RUkbjttpZBs/6rfBmrTdTI6JpKZonRSU6ontKGpXn2AKonzL7ed1VrbPSFizRFACr79K5jbVYKcSeVAir4oTVnuh9PprGnJI2rNtv9f/0fP0c8Tx3ost4vlNLUSkIVnusai8ivj6vlUblea57qpNY69Si15X1fet0El3BxKrqYl1vRaXApHz30UpLmnVfi6aKea5t615gbSul39/dvSPSty/1ZUZbW5vMmTNH9ttvP9l9991FRGT16tUyZMgQGTVqVIdlx4wZI6tXr665ng0bNsiGDRvy/163bl1pbQYAAED36OcBAOqp1GomM2fOlF//+tdy0003Ja1n3rx5MnLkyPxv/PjxBbUQAAAAPUE/DwBQT6VFZsyaNUtuv/12uffee2WHHXbI548dO1Y2btwoa9eu7fDWfs2aNTJ27Nia6zr77LNl7ty5+X+vW7dOxo8fXzPFxBMyFh2V1bMeK1zGCnvSPGHU0TSQlJSHlHSEaLUOK7zMCpXzfL/R9peR7pESjtaT9VvnnGdEas93lnKMolU/rLDhlFGTPdekJww1ZXRnzXM9e0bm96SZWdu1eI6tdd1a7bTOSYu1X+3rJN0EqL/e6Od1x3M/1FUOPPdnq+KV576qQ+A9KS2e1AHPfTjaN/JUk/D0H6J9AytFQLNSTjTrmRLtY1ifjVZIsdap29nS0lLzs9b6O3+nVuqRbrdV4cbaXrT/Ya3HOoestBmrIomnaolVAcS6bj3pJ9E+ZUo6frT6kSdd3rr+PalfKSlq0epBkftIJAWs8MiMLMtk1qxZsmLFCrn77rtlwoQJHf59r732kqamJrnrrrvyeU8//bQ899xzMnHixJrrbG5ulhEjRnT4AwAAQO+inwcA6CsKj8yYOXOm3HDDDXLrrbfK8OHD8/zIkSNHyrBhw2TkyJFy/PHHy9y5c2X06NEyYsQImT17tkycOJERrgEAAPow+nkAgL6i8JcZS5YsERGR/fffv8P8q6++Wo477jgREbnsssuksbFRpkyZIhs2bJADDjhAFi9eHN5WY2Njj0bJ7y6EWSQepq3nDxkyJJ+2wso867R4Qv/qtf5oKkM0pGkgh5d3te+eEcU9Ial6fkoFCks0FSKa1pGSYqRF973s87Ko1BWP6DWseVLvPCOjd9eGsivYALD1Zj+vVjUTzZMmGa3WYfU5ostEU3A9aSnW/Og9NlpdIVrJRfNUQvE8v6zQeE/IfPT7SklB0HSqhJUyY7Wzc7q157uxpj2pU560bytNyEo9sNJhNF2pxFpGb1fzfMfRaoeade+wlikqxdxz/evvxVN5yHOuR1OzPKJpNT3p5xX+MsOz8aFDh8qiRYtk0aJFRW8eAAAAJaGfBwDoK0qtZgIAAAAAAFC00qqZ9Ia2tjZpa2tzha1ER+NNqWxihWFZoTkpFQaKCreOppakrN8Kh/SEW3q+i5T2l73+FF2FgkVHF7Y+a4XjWeGRHimpJUWd60VVY+lNnmsgmhKScq/xhE8XkULSFdJMABQlWsXDE2rtuTdF75PRdF+rX6uf6dHqB5aUFEtPvzPaZk8fw/O9e0LyNStdw/o94KnU1nlb0fRgax+iqVA6XV63W0tJW/Ckgehj2tzcXPOznuoe0cpwVps9vzVT0p49/SqLdQ6kVCqy1q9FK+N41uNFZAYAAAAAAKgUXmYAAAAAAIBKqXSaSbvoiM5WSJO1Ts9I2J4w/GiFFIsn5M2z/qJCta32WMfECp8vu5JGlCf0yhOqVdS+eEIpu/q3aFijNbK1Jbr/npHDoyGvWjQ9zOLZ9+jo3dH1R0eYTkm987TBk7ZnbcvTzu7CTgdyVSNgIGlPJ/aM7h+t+mTN94RIe+6r0TBtz7ZSqpB47ptW1QtLGSH50VSR6HekWf3UotJdrUorVn+3q/QCz3GJpgR7+lie57QlmqZlfVZX7kipcFhUqlj0d0BKn6WMvlpKOoynklDZvzs7q/8vRgAAAAAAgABeZgAAAAAAgEqpdJpJQ0ODO/wmGh7Yk7Z0JxqWmBLCFR1NOJqq49ludDThoqqWVD0EPRrG11lKOlNvh4a184QclvG9ekJJPduNjsqccjyjoZpF8aSueI5bNO1Ia59f9WscgE+tqnWetD4r/Fkru1+Ysh5P1YWUKl2arrihee7JOq3BU23DEk2ZtJ59Vsi/J71Z08ckJYVWn4dNTU01P6uPYVfpxFYasKevnZK2FE1JsKqQRFMerH3UxzGFZ7vR9OyUlJBoP9JTjdPi+X6j1621fs26DlMqJooQmQEAAAAAACqGlxkAAAAAAKBSKp1m0i5lNOUoK+ypXikqKftuheN5KhJYPJViPO20QtM8oVTR45kyqq8lOkq31TbPOjv/t/7+5n796/n0/Msu63YbKftf9jVgna8p54QnzSSaFhE9htZnPSPqp+x7SkWSlG1FR7kHgJaWlnzak54arWxi3aN0FQVN3yc992dPmp4WDf22Um9SUi0sVkh4Sti7JdpPtT5rzbfSPTznhp72pD6kVLrxfiYlfcBzvlopMSm/UTzrLKpKnHWO6v3V20pJ8bIqnnjanFJhxNMez70gJY3Z8/uvu7RAzzraEZkBAAAAAAAqhZcZAAAAAACgUiqdZpJlmWRZFg7f0TyVO4qSEjZkzU8J7Yq2zRPC6RlB3NpuURUtrDC1eqVWRNNMPOH//3T66Y7WdTTntNO6XeaySy/ttk1lp5NYUtI3ostHQwit79hzTkfD8Twjq3vOe0/4pIcVvhpN2wGAzmpVM4mmDUYrfOnUEutZYPUdPc/v6L062u+JtsfDcxys5T0pk56UT80Kh4+mpVgpDpo130pHsHgqdXRVzcRKu4j2jfT2otdVSuqBlc6gp3U6md5HK93Lsy3PMtaxtaRUSIouH+2DRj9rfaee+6Mlpcpl+2cjfUV6lQAAAAAAoFJ4mQEAAAAAACqlX6SZeEJtUkbdtZaJpqikpDNEq41Et+UJq7LCwlJ4Rl5OWadHGekLZaS09CS1JOq0uXPzaSvlpAxVrF5RRhUVT8WWlJQQD886PWHS0dHKPeHEAAaWhoaG/K+dJ1TZCqP2VEvwtqsWz/3K81mrOomn/9dVqkLRevP+7HnWeJ6tmifE3ko7ss4Z6zy0qsBY52Hn5a2KHp7qf9E0BP29btq0qeZ6UlKDNKtSUb2kpHuVndoeFf1d66lo46nM5LkXF3lvqv9ZAwAAAAAAEMDLDAAAAAAAUCn9Is1Ei45arVnhZp70Cmtk4mj6iWc0bs/ow5onjC4aiuQJgfeIjnirpYTeR0fv9SyTkn5i6SvpF0VVMEm5PnszNM+zXc852tTUlE97Rk23wow9POF7KSNYRyuqWCG11jo90/U6BwDUR2NjozQ2NrruaZ5wZn1P1uHzHp5+RjRM3pOa59l3nQoRDf/3SKlolpL6oL9Hq5/tCef3PH/1docMGdLtMtFqFZ4KJNY+ercXXd5Kp4mmg0ZTp/R+Wue6VS2m7H50SjVIfQw9faAyfk9Ez0tL9Lem5zovK7WYyAwAAAAAAFApvMwAAAAAAACVUuk0k1rKDkP2hPV4KqdontDy6AiwZYQT9mblhGhIk1ZGiKVHUaFdKcsXqahtF3XcU8LctKJGU04Ztd7DCtPzbNczYn8ZFYNSUtEiIYqkmwADw6BBg7qsNGKFQkdTQnRIuA4V92w3pQKDp23RfUlJIYw+Zz1VDqLPAk9/2tPPto7D1Kmfz6dvueUnNdvvOQdSUiNT05Si37H1PUVTQ63zzEoN8qT66Gl93KNpDpaU9GZrPdHUdk9/tKj7SErFy2jFzpTfNNb62+dHUq2JzAAAAAAAAJXCywwAAAAAAFAp/S7NxJKSAuBJVUgZVdYTLuYJUbJEQ6A84UTRVJdoOkl0/dZ0tCJECs/5E92vuV//enrDemjOaafl05fPn9/t8p79TBm5uajRlKPrtJaP3lNSQnm16MjtZaQqWVUAUu4Lnntc+2d787oGUD/dpZl40gatcOai0mij99uUkG3PMyVaFUsf3+i91RN6r58XnuealaYwefKR+fTy5StqLn/UUVPcbfcuf9ttt+fTKedMahVAvZw+pp6UGGvbVoqHdU57vj9P5Rg9X1cYstJMoqxUmmiVFi0lXcWThmNJaZsn9cviSaXzXP/RNLBIG/P2uZcEAAAAAADoA3iZAQAAAAAAKqVfpJlEw3Q8oXnR9ReVYmCt01qPZ2ThaPhRiqLC+T2hjqecemo+veDyy7v9rG6DTqG49JJLQm2z1lnGSMe6bb2dcqKPqW6dJ0wvOgq159xNWb/FU+nDE5oXqcTR1Xo87bTWHz2GUZ7v2pMC4wl3tc6xlLBTANXT0NDgvsdHU9j0fE+ovqbD/IsKh08RfU5Z8z0h+dFUFM+z6ZBDDg6tU6eclO3QQw/Jp2+//d9qLpOSctKTz3SVelWLdZ5Z1UysVBFP9SBrWq/T0x7rvPRc50Wl11qpFvr69/SNotdMtI+VUqXPapt1T/TcR6JpLCm/lUWIzAAAAAAAABXDywwAAAAAAFAp/SLNJKqnI6t29dnoKP6eZaIhgZ6Q/HqJhhDpFBKP6PKaJ30jmoqSMrK4bs8lF18c2m5ZrBSAqrDOPx2qqefrcMgUntSJlHNF89wXtDLug550Es/y3S1TVFocgGqLVsew7v/WZz336pRKb2WkTKZ81pNaEk2ZtNZzxBGHxxtbYdG00M5SUpY9fThPirY1P1rJItpfiaZRpPRTPfeUaJp+GRUdi+IZYqGodGUrtbi77Xen/r9yAQAAAAAAAniZAQAAAAAAKqVfpJlY4TjWyLnRECUrtCgamuMJ37PWH62iYC2jecK2erMCy6zZs0Pb6k069eOySy/tdnnru45WJPn6P/1TaPkiRVMGPOdiNE0rmi4VDX+dMXNmPr140aKay1jXp2ZVQokeK08YoycdwyMaIhodRdtaPrpfte7dvRmCCaB+2trapK2tzexLRas6dF53u2i/0FONwcNTUS8ljdnzDLXSKq1KFBbrO9LpJCtWrOx2PVVkVbeJ9um76j9Yn7f6mxZPVRHrWW5VOdHzU9IuNE9/yFPNxFNpxdN/jV4DHilVEIsS7a97PmutJ5JOHEkVIjIDAAAAAABUCi8zAAAAAABApfSLNBNPqFDK6MvR6eg6PWFSKXoSztbdZ7Voikr0uFVdNLWknhYuWPD2fwRHg46mkETDcfXyVlpHStqSTjmx6ONj3V90uGlK2GN0NO7o6Nopyr43dXdPJM0EGBja00yi4fqekHzrPpPy2ZSwa2vaeva1tLTUXD5luxZrvw477NBuP6sdeeQRoeX7mkMOOTif/vd//1k+XUZqbedlivr+PH0vq/qJlVpinYt6GasNVqpYSsqG5km1stLfy+5rRH+nFnXdepRRCbOsaohEZgAAAAAAgErhZQYAAAAAAKiUSqeZZFmW/7XzjKbvXXd360kJCdc8YUBlh3VbrP1KqaKi2zD7lFNC7UF9RENnU6paeNZvbWvmrFndrieFPl+vWLgwn7bCMFMqsERDCK2R5D3VjKKjaKekpUXXWSs0tYzwRwB9z5AhQ2TIkCEd0ve0lHuOVeXOkxoZrZBn8dx7dRi+VVGhqPQWz2cPP/ywbpfvr2677fZ8uqHh7Z9QnipdngqIXfFURLToc8jz/Laqk1hpJlaVE73Pgwe/fbys1JKiUmTLSNnw8Pxm8oimH0fT+ouqCOXRG8MJ0CMEAAAAAACVwssMAAAAAABQKZVOM2nnCc3zhBN5RpW1wsk1T+iiJ+Qrul9RnrAnz754Qrj6k9Pmzs2n5192WT7dH/ZXp1EsuPzymst40j0815gnXNZzjlrrKZunWoo+htER7HszbFjTx9MKEbXCXT3rj4a71mpbvb5zAL2rtbVVWltbXfc0T1UEvYye1vc6z7PJuo957k2evmbKOi3WfdtTXS9ataS/ss4xff7olCjPeaV19T16fitEp6Np9NFKH54qKtH90qzfYZ6+abTCnLVdT4qvJzXWStuJVp+x5utzV/fnrPM1JTWmtxGZAQAAAAAAKoWXGQAAAAAAoFIqnWbSXskkGuqUMhJ/NJTbk6bhmU6plqJFw9ixOZ1aouljq1NRqsRKLfGwRrBOuT7Lvh7Kdsqpp+bT+ryJtt8TGumpTuIJV7SWsUJkoyl81vzI/bc/pHQBSFdGpbcy+kYpqbme6ioWT2rJQK5OEpVSNUKz0hG6Ovf0enVqgFUxRa+rqamp5jqt81Kvx1NFxZNWqln9xdSKL7WWt/YrpZqJtR5POk80BcbTX0y5Z1nftUf0d7PnftQ+HWkLkRkAAAAAAKBSeJkBAAAAAAAqpV+kmXSe184T7uMZMToaPmWNkO0ZLdcKBfOM0m3xjPYbTZnxbMtaXlfMqCIrJKs/pO3otIhoyonnGotW6NEjLuvrUy/jqSrS13jCDzUrTC96zItKt9PfhScE2gqZ9ISU1tqv/nCtAehed/08T2qGpx/mWd5qg2b11aIVmDxpm9FqDKSW9MzPfnZHt8ukpD72pCJgtMqGVbHCOtePOOLwfPonP1lecxm9Ts9zXbOuk5R0L+sas66faN/LU43Fk+5rrV/Tx8eTmmGJblfPt/rcFk+fz6Mn6cSlR2Z897vflYaGBpkzZ04+b/369TJz5kzZeuutZauttpIpU6bImjVrym4KAAAACkQ/DwBQL6W+zHjkkUfkyiuvlA984AMd5p922mly2223ybJly+See+6RF154QSZPnlxmUwAAAFAg+nkAgHoqLc3ktddek2nTpsn3v/99ueCCC/L5r7zyivzgBz+QG264Qf7xH/9RRESuvvpq2XXXXeXBBx+Uj370o2U1qVueEfet+Z6KAdHQ+6JG146239OGlOoECxcsyKermHJifdc6RaM/SAmbjKY2aFb4IdJFwyrLFg2Nbg9XjIZsAyheb/TzBg0aJIMGDQqNgi/S8dlspTFaUion6HbqNEk9vXHjxprrSUkDTKnMgM3p1BJPvyXaV46moPeEta6DD/5saD1TpnT/EvKaa67Np4uqXlbU755oGkhRfd+ooqqKlFEdxvqsJ+2tN5QWmTFz5kw5+OCDZdKkSR3mP/bYY9LS0tJh/i677CI77rijPPDAAzXXtWHDBlm3bl2HPwAAANQH/TwAQL2VEplx0003yeOPPy6PPPLIZv+2evVqGTJkiIwaNarD/DFjxsjq1atrrm/evHny7W9/u4ymAgAAIIB+HgCgLyj8Zcbzzz8vp556qtx5550ydOjQQtZ59tlny9y5c/P/XrdunYwfP76QdWue8CArZMcz+rUOdbRGqtX0/JTQ+2iInNUGz0i+/TW88YqFC/PpxoRReqskmoaQUkHDWo+WEoLXF8w57bR8+rJLL61jS97iueYtZVcTscK2a/07gN7Vm/28xsZGaWxsdPUzos+d6H3Mqn6n26P7anoZa9p6rnmqpnlSUahg0jOe7zSFp+qIl+d5eNhhh4bXG3Hcccfm0z/60fX5tCfdw8NTIcXi2ZanypGHp9/suZel9Hej1VvK6E+n9BF70r8rPM3ksccekxdffFE+/OEPy+DBg2Xw4MFyzz33yIIFC2Tw4MEyZswY2bhxo6xdu7bD59asWSNjx46tuc7m5mYZMWJEhz8AAAD0Lvp5AIC+ovDIjE996lPy3//93x3mfeUrX5FddtlFzjzzTBk/frw0NTXJXXfdJVOmTBERkaefflqee+45mThxYtHNAQAAQEHo5wEA+orCX2YMHz5cdt999w7zttxyS9l6663z+ccff7zMnTtXRo8eLSNGjJDZs2fLxIkTw5VMsizL/9pFR4DWPKkilmgovTXyrBXaFl2PDoXzhF5GqwpYbfCE45Udol4UnVoyEFJpOtNpEZfPn19zmZRRqz0VgDzbqopLL7kkn7b2xHNNap75nnBlqw0W6/uK3nd0e6yw7YF47QF9WW/28xoaGpLv/Z50WU3fi6KVUKJpCDqtwEo/jt4Dyw4hH2g8z9no915k/9jzvO9N+jy2Uh4063kf7a+kpIR4KhJ5rsNo2ognvUUfz5aWlm6Xt46btV0Pz3G27rPR+1f7ZyPfZ2mlWbty2WWXSWNjo0yZMkU2bNggBxxwgCxevLgeTQEAAECB6OcBAHpDr7zM+OUvf9nhv4cOHSqLFi2SRYsW9cbmAQAAUBL6eQCAeqhLZEZR2trapK2tzZUeYoXIWJ+NVl1IGRXbMz/ahnqF5HvSZ2bNnt2rbYpYdMUV+bQnFaAv70sqXXFDB+ampIQUdY7OnDWrx5/tCzwhxJ5p67PWcfZUUYqm21nrt1ij+pNCAqBsntDs6HqiFQyscO9o1QWrL5sSTj6Q/du//bv6r1h4vvUstp71Pfm+rH+bMmWy+Zl60PtmTXtSSCzR/qXnWrXWY6WcaZ71p1zzOrXE2m4Kzzkd/WxK29o/G1lH4dVMAAAAAAAAysTLDAAAAAAAUCmVTjNpZ4Xv6JAgTzqGFV5tpU5o1qjGnjZYod/RCixWuFJKGFA03UavU48CrEfs7mt01RJxpBp50iz6g2hKSDTlyRrt+OTp0/Ppxf0o3zoafmiJVhux7gsplY08IbUePR2xn9BpACLxlF1PSHhKZTtLGZVQdDutUPTJk48MrbO/uv32f8un7ZTy2qklnkqBnudgNI2oK335e/3854/Op5ctuyWf9vxW06IptdZ16/n+LJ4+kLW8JXoeWL8jPb81tZSKJNEql9G+YK22RdKPBsavMgAAAAAA0G/wMgMAAAAAAFRKpdNMsiyTLMs6hKLo1AZrFF0tmmbSVVu6W48nrMdqm6Xsqiue9URH8tZpHX2hGogOzyoqzL8/sNJAUkSrkMyYObOQ7dbLpZdc8vZ/BKslFRGm19W2ikpjs1jrtyqYFNVmAP1He9U6K4zfk/prscLbPWkm0cpTnjTgaP/DOg46rfemm27Op6dO/Xy36+9NP/3pbfn0YYcdWvj6b7vt9nxaH1rP+aPp5aOfjX6//YE+53TmlKevHf3NZKWQpFRl8ywTrcrmuS9Y9yNPRZyU1BJrGWu/PClC0f5iKiIzAAAAAABApfAyAwAAAAAAVEql00wGDRqU/7Wzwm48oYiekEBP+LMn7Mn6rKfNUWWnmXhCwaLpBfXi2S9dbaM/i55/VnhdVb77qPmXXZZPp4TUFZVSUcb9wppvjUpupZ9FRxDvrm0DJdULGOgaGhryP+vfa4mmAGjRagOeCgBFpRZa67RSIeqV2rB8+Yp82u77vt3+W2/9ac1l9D7qVJR/+7d/V+up/azR/7/WOiaeijZWpZhodQtrW97nWbTaTV/g6QekpFp5qlNa7bHWaR1nq/3RdNxolZaU34hlVGyxPluU9v2K9GmJzAAAAAAAAJXCywwAAAAAAFAplU4zaQ891KEoVsqJJ4zGE3LoqYpipZx4RqS10mQ86SqeyiyeNlvLRNfflytR6IoqjY5zoy/vS1l0pZkFl1+eT0dHU+5PFi5Y8PZ/OEImNc9x06PQe+5f0VDqaEijtR5rlGtrZG7r3LBGN+/uGA6Ecw2A5H08T2qbZvW3rGlPaka0Okm0SoDVfqsP6gk5r9e9Mlr1w6Lbr1NLNH089Xb1fKvSoed8sCo2aJ6+kJW+4DnfREQ+97mjum1HX+BJ19bH1LpWrWtSf5eeNqSksWjW7zmrukc0LSh6zlmKGk4gOtyCVVnUqvzi6Xd6EZkBAAAAAAAqhZcZAAAAAACgUiqdZtLU1CRNTU2FhdGljIqdwjMqttUGzwjNKakAnvC3eo2W7bHoiivy6b7czr5Ip1RkRhjgQBMdwTqavhWtPORZPjoiteeeYoWFWuGfTU1N3bZNp9hYejLKNYDqam1tdd0buhJN0/OEV3uqFuhQ8eg+WPdhK3R9yJAh+bTV57vllp/k00cdNSXUHg9dwURXKvGkTEfTJ6PVSaztWtuKVqiw0oI8qSX9oU91880/zqc9vzk8fRe9ntR7QHdtsKpQRkXPS8/vEms90d98ntRiz3mZUiGlrN9h9AgBAAAAAECl8DIDAAAAAABUSqXTTBobG7sMR4uGthS1TDQ0xzPqv5YSxhQd8VqHdlnL9IVwuaVLluTTHUICg2H+el8GYgUTD09I2sxZs3q1TfXmCUktI4XEc+1F72vW/cWTAucJG45WfgIwcLW1tUlbW5ur6ptm9XV0n8Zzb/RUUbHuV3pbKakKKc8C6568bNkt3a5/ypTJ+XTHFBIrhLz7yiCe/rHnuZPyDPV8p1Y1iej36JGSgtBXpKSTeFjVTzwVID0Vhjys79Vz/WueKpGedlqVQaw2WBVGPH0ya3nrs9Z91pP20hNEZgAAAAAAgErhZQYAAAAAAKiUSqeZdCcaolVU+EtRFQYs0ZApT0UFixWq2dfSC06ePj2fvmLhwm6XH2hpEKk84W8D4ZjOmj07n9bnWUoqV0paiid8z+IZvdsKu7XOBytVxBOW6Em3a29nlcJvAfRcezqx5x6ilVHFydqWVb3CU23Auv/r+6Getu6ZUZ4qWjq1xPNZa5mU+7X1PPU8s6zUJCtk3krJsc4NzfqurSoqVpur+mw7+ujP5dM/+cnyQtaZkgbi+e0SbYOVBuaZtvo3RaXmR6vQafpYWfea6H0wWoEl5V4mQmQGAAAAAACoGF5mAAAAAACASunXaSZRKSkbntQPK+QtRUoKjIcO/dHhcn0tpWDxokX5tHVkqU7SvYULFtScb4WGnXLqqaW3qS9ZsnhxPt3gGLE8GsIaVVR4ajQtxZN2lDIyvB51u9YyqSGJAKqhoaEh/9Pz2nkqCVhVDqz7Z7TKiTVyvydVwbqXNjU1hZa3+mqelOloqognZaOo6oB6/Z50D82TwumphuF5RnuqFerzxFOZ5aijpnS73b6oqH5JUedrtFpMNP3Mqlpita2MNBPPMfdUgbHOdU+ftajUrPbPWqlktRCZAQAAAAAAKoWXGQAAAAAAoFIqn2bSOUTHE1LnGWE6OgKsJ4TIE87mCT3zLKN5Rvv2hCX1tdQSLVpBAm+7fP78fDozQka1U+fMKblFfZd1PXuWt+47VqiwtYxVJcS6l3mqlnja77mWPPdBqw3WiNq11kOaCTAwtFczsfpknip0nuWtfp4n3cDT7/Tcs3RqSTTE3lM9KnrcNE9/15KSduAJUfdU0Ur5bRDtQ1vLe84Bvc7OVUGmTJnc7ef7gug5YfFUibO+b09q0OTJR+bT+li3tLTUbINev04tsVKthgwZUnO+Fq1IZ6XgRodAiFYnsdbpuZ4995Ray0d+vxGZAQAAAAAAKoWXGQAAAAAAoFIqn2bSWcoosZ6RWFPSFqz1RNNGihKtYFAVVqg+umedixzHzRV1f0kR/V6s71RfM55wZU+6jRVSa6XVWOvn3AMGrra2ts3ul0WNpq+X0aHlHp5Kdda9MZqSEK3iYfGk43pSLax7uyeFu6h9sbYbXd6TlmKJprFE21bVZ9+RRx6RTy9fvqKQdXpS8/Xx0ikkHp4UnuuvvyGf3rhxY83t6jQQq23Rvo6nKp7ns2VUUbFEK87o77T9/kKaCQAAAAAA6Ld4mQEAAAAAACql36WZ6JCx6OjL9QrviobjeFQ1PC3iyqVL82l9BPW+n3jSSb3YomrS1UkWXH55Pq1DSaNVMPqrk6dPz6eXLF6cT5dxDWuekaqt7Xp40kY8KWdWKHI0xU7fx2uFlA+E+xuAt549ra2t4RQST7pEyv3TCif3VHHyhIrragmWaBW3aDUDa3ndNs9zwUoLivbLNesYWmk+nt8Gmn5+6RSklOo5HnqdRx01JfTZvkKnlkQrWWjWNa+vPb3M4YcfFmpn1LRpX8in/9f/+kE+rasQWdeJbrM+Jnq+vkekVCGJpq6kpFRF76GetDqqmQAAAAAAgH6PlxkAAAAAAKBSKp9mkmWZa7RWK0QmGobmWacnZDuFJ3zHCuvzhNfpz86YObMnTSzU0iVL8mlPaBQh6DFXLFyYTw8ywmJnn3JKr7apCqz7iLWMJ/TUM+q+515mfVZPe0akt3gqm3hCBK31WPfi9rb1ZtUnAPVTK83EI3qPsO6HlmhfKno/tOZ7joOnGl9KmLnmefZ50lKi35fn+Hv2K2Xfo+lLHlVNLbGkVHnxpDYUVRkuykpn8qRORavgeNYfrYRird/qU+pr2Eq7ilZLKbIfR2QGAAAAAACoFF5mAAAAAACASql8mklDQ0M4XM6T+hFNJ0kRHSW2bPr46BQPXcmhbFZqSVHVIfA2z/WweNGifLovpB71BZ7jsOiKK2rO95zTVgWZlIpNVmikljKytWdEd094sLX+9lDwaEg4gGpqa2uTtra2pPBqS9kpwUWF2Hv216o+ZvUpU6r9We3UrPVb7Ynur95Hq1JESqUbz/MxmlJgrWegSEn90mkOnmpGZWtubs6nrftINBXKmrauZ0+Kja60Yq3HaqdVUcmqJlPP9F8iMwAAAAAAQKXwMgMAAAAAAFRK5dNMROJhX0WFJXrCa6xlygiN8lQw0WFGnlDteoVwFTXCNGJIISnWzFmz8umFCxbk09Y1aV3D0VDelJDpWmkdnduWEl7r2a51HNrDG0kzAQaGzqnEXp4Q7HqllhQVmu1JS/R81pNyYq0/2sf1pJxEKzzocHgr5UTP37hxY7dts/Y3WrkmmupSVT/5yXL1X7HfYVZqhpUWoR155BHBlhZj2rQv5NPLlt2ST+s2R39vaZ7zzHMNR+810aEaotdtWYjMAAAAAAAAlcLLDAAAAAAAUCn9Is1Eq1fqgQ790eFEnjDGlLbp7eqQJr1dT7ilpS9UVInqzaorHjq9YPYpp9SxJW+jOknv09ehDou10iuscF99f/EsY7HCaKOj3Kew9t0zqjyAgcnq92iee6BVGcojJW3YE6bt4akkZS3vSWlM6b9aKRtF9SmtZ4T1bB0yZEhonZo+Vp5zxlpmypTJ3bahqvT3PXnykfn08uUruv2sdS5afQK9rVtu+Uk+fdRRU3yNLZjVZ/JUpPP0dVIqw1n3F889wrrHeX5fFvUb1IteIgAAAAAAqBReZgAAAAAAgErpd2kmVmhL2SNbW6FFerqoUaut+Z4QuZTtlp2acNWVV+bTg4zvsYqjPveV1JKBRp+v+tquVxqSFeLnGYVet98Kny6qWlI0/DDKCoeOVqUC0P+1tbVJW1ubmUZrTWtlp8hFly+qAp+VrhJdjydU3PNZa188lT6i1U/0/JaWlppt1jZs2NDtevS0Tlexzj3POdCfU0s0nVrima+tWLEyn9bH3dLXKsHo71invUQr96RUErEqz3n6l9b16dluUSlzWnsbIvftUiIz/ud//ke++MUvytZbby3Dhg2TPfbYQx599NH837Msk29961uy/fbby7Bhw2TSpEnyzDPPlNEUAAAAFIh+HgCgLyj8Zcbf/vY32W+//aSpqUl+9rOfyW9/+1u55JJL5B3veEe+zEUXXSQLFiyQpUuXykMPPSRbbrmlHHDAAbJ+/fqimwMAAICC0M8DAPQVhaeZfO9735Px48fL1Vdfnc+bMGFCPp1lmcyfP1+++c1vyuGHHy4iIj/84Q9lzJgxsnLlSpk6dWpoe1mWmaFhmhXypkNzomFunjAazwjT1vLWqLXRdmqeEHWtqamp5vwlixfn09bx1OH8Vy5d2m3bGoIjbVuhUTpd5cSTTqq5nrLpCib6u5s5a1Y9mjMg9bUqLXNOOy2fvuzSS/NpTyidJ5zYMxK2J13Nmh8dLdu6l1kj23tSTtrn94XQUmCg6u1+Xk9Y9x/PfalsVhs8909PGqAlWp1EHxNP/9VTCcGTruKpnGD13T3tjFax0duyzpPPf/7obteD2o488oh8WqdpaNY51JvXbQqr/+T53ebpI0av1Sirr5kyDEB394jI+gqPzPjpT38qe++9t3zuc5+T7bbbTj70oQ/J97///fzfV61aJatXr5ZJkybl80aOHCn77ruvPPDAAzXXuWHDBlm3bl2HPwAAAPQu+nkAgL6i8JcZf/jDH2TJkiWy8847y3/8x3/I9OnT5ZRTTpFrr71WRERWr14tIiJjxozp8LkxY8bk/9bZvHnzZOTIkfnf+PHji242AAAAukE/DwDQVxSeZtLW1iZ77723fOc73xERkQ996EPy61//WpYuXSrHHntsj9Z59tlny9y5c/P/XrdunetBl1IBJPpZKwzQkx6il/GEQ3raaa0/JYwpypNaYikjTGqg06lBM2bMqGNLBqZLL7kkn+4L9TlSRp5OGY27r41EDiCmN/t5WZZtdp+I9tvKWEaL9p+sFFmr75hSaU+L9l89VQ6sUHGrooKeP3jw4JrzLUVVh7CWscLnp079fLdtQzH0uaJTd2666eZ82vr+fvSj6/PpL35xWllN7FJRqb9aUekb0fVb++KpGuqpLJXyu7azwiMztt9+e9ltt906zNt1113lueeeExGRsWPHiojImjVrOiyzZs2a/N86a25ulhEjRnT4AwAAQO+inwcA6CsKf5mx3377ydNPP91h3u9//3t517veJSJvDRI1duxYueuuu/J/X7dunTz00EMyceLEopsDAACAgtDPAwD0FYWnmZx22mnysY99TL7zne/I0UcfLQ8//LBcddVVctVVV4nIW2Elc+bMkQsuuEB23nlnmTBhgpxzzjkybtw4OeKII8Lb6xymYo1OHR0Z2hM652mTFcqnR0e2Kox4Qvas5a3UEk/ooudYFRVOFA1ptOh9POnkk0OfLUNRYaGpdGWXRkL668ozgr21vOa5X1g8o81HQ/9SKp54RrDX2pcnDQ2on97s57WnmaT0XSzRe6Cnv6hFUx4864lWCfE8a6wqgJ4qWta2PNUV9HY9z8doXzxKr5/UkvqwqsJ4vo9rrrm26OaETZkyOZ9evnxFPu1JZ9LL6BQs67PWdaivq6KGFrDuBXo6Wh1US005Lvxlxkc+8hFZsWKFnH322XL++efLhAkTZP78+TJt2tv5S2eccYa8/vrrcuKJJ8ratWvl4x//uNxxxx0ydOjQopsDAACAgtDPAwD0FYW/zBAROeSQQ+SQQw4x/72hoUHOP/98Of/888vYPAAAAEpCPw8A0BeU8jKjt2RZ1qNQs+hI2NHQRYsOwSmjekhUSuiiJ42i7EoFnrDHepk5a1Y+fcXChTWnZ82eXcq2ly5Zkk/rb6kvpN/gLZ5R5a1wwpS0jrKlpOFZywAYuBoaGqShocEVXl0GKwzc0wa9vJUerOk+onUvtfpe0fVbrFSOaAqMtYzmOYbRVJSUc8NKcUA1HHfc25WUfvjD6/LpL3/5S73WhhUrVubT+rS3hhnQrPPbSvGwhlJISTn2XGN6u9H0tmg7vfpGYj8AAAAAAIATLzMAAAAAAEClVDrNpK2tzZ1mEg1n8YTdaJ60C8/Is5pndP8UVkWSosLAU0KIPJ+dPmNGj9dftoULFrz9H0aI1eJFi2p+Vi+j93HJ4sU1l0G1WeGEKWlpZYXyRbbrYY3qDQAib90Hu0qP0Pcc3ZfS1QAsVmqG1TeyRuv33GM990ZPqkg0DUSzUmas+RZ9bK1Qd+u4RVNXrPkp1cH6SrU5lKepqaku29Xnn27Dxo0bay5vVS2x6PNYf1avP3r9eKqTWPemaPqZ517Tk6p1XNEAAAAAAKBSeJkBAAAAAAAqhZcZAAAAAACgUvrdmBlWLpwnJ8gaNyJlfAhPLl9KGR3NU7rMU+7HkpK3b4nmcM2YOTPUhnrxHH/POaPLrHZ1NMkBrZbo+eG5d0SvZysfMWV8IQ9r/Z4xQnpz/A8A9dfa2trlWBIpZf+s8cosnn6hdU/W99uUe2/KeEhWvno0x95TmtEaS8Nav6W7vHrv8tE+PaqtXt+xvub1NRDtn2nRcSmK6id5xqywlimqX+jFLyAAAAAAAFApvMwAAAAAAACVUuk0k4aGBncoixXiU0YoUko5Uw8rXM5TXtUT3l6UotJnqpJaopVxPL2pJCeedFLh20bv84T4paSu9QWE+wLoSpZlXd7PrDKhKamzVkpItPyp1bYUKaHr0WU85RWt46OndYlKT7pNiuiz75hjphbeBtTf1Kmfz6eXL1+RT0+efGTh21qxYmU+PWjQ29d8S0tLPq3vBdFrwEpXi5aHtkRTuTyfjf7WJM0EAAAAAAAMKLzMAAAAAAAAlVLpNJPGxsbNQu89YYBlj5SfMoprNIUkZX+tZVKOgxUC6aG3O33GjB63oS+YOWtWPr1k8eJC1tnV93LSyScXsg2U57S5c/Ppy+fPz6ejFZis+4UOadSVQSzW+ZRSGaeo+69nfwEMTFbKg56vK5VYYdrWvU6HhOv7jydVxNOGaCWRaBh4GZXnrH33hJPrZ5Onol7Ks8mzL1R/6/+WLbsln25oePt61ikh1rl42GGH5tMrV95ac/mO10Pt+bof5knZiP421ctH0+2i6XPWdj2paNZnu/stG2kXVzQAAAAAAKgUXmYAAAAAAIBKqXSaSS1lVwwpY8TYvsxzPD1hTFaazECgU2aWLlnS7fJVr1CB2uZfdlk+3VhQepglZST/FAPt/gig93lSReyQ8NrrsURH60+pGGJVKvCsX8/X4e0pFU88KdBaSl85un6gKynnyk9/els+3draffqr5kmRilbx8WzXSjnRqW4pKbue61nfZz33Aj0/9TcikRkAAAAAAKBSeJkBAAAAAAAqhTSTktejRUOLtGgFk76AsHHgbWWMMB8d5V7ToYhF4ZoHUKQsyyTLsg73Q6tKgCccu/O6I/M9PPdeq81WhQHP/lrpNlZ1BU8qhxU2bi2vWdvyVEWx1qn30VNZZurUz3e7DPonK73KU02jqDRd69q2lvFsS69HX2PWeqzKdno9Vtui1ZuiqSVWalxPEJkBAAAAAAAqhZcZAAAAAACgUiqdZtLY2CiNjY2u0BYrTMcTOqfDX3TYTcpozRYdGuUJu0kZndbabhnpMJ5QpJOnT+/xdqvCM9Kxx0A4Vv2N53rQrHC8lPuO5zwruxJKVdLkANTfpk2bZNOmTa77p6caiEfKfTLl/mb1+axwbE81AE97oqkinvVE01I8zylPxYOjjprSbTsHouXLV+TTkycfWceWlOcnP1mu/itWcUf/tov2x7WU/pnnt5eVPmOlhBV1/UdF+7W1Phu5lxKZAQAAAAAAKoWXGQAAAAAAoFIqnWYi8lYYSnQU2igrlaOMNJPoCLmekD1POKQV4ldUyolmhRktXrQon54xc2aPt9uXTZ8xI59esnhxj9ezdMmSDv9N2knftODyy2vO96Qb1asySNlpIGWnsQDoP9ra2qS1tdVMMbAqBqSking+ay3jub81NTXVXN6qMKCn9Wejqcue1MVohQFPeoj1vXiqsaRUgRjodNpFW9vbx2vZslvyaf0db9q0KZ8++ujPldy6mBtvvCmf1m3ueN7EUpus8z4lzcSTruJpjzXfquiTkvaWUmkvpSKUVaWpJ/0/IjMAAAAAAECl8DIDAAAAAABUSqXTTNpTTKzKI5qVmhFN6+i8/cgynlFrrfmesCQr3M8TSllU2FA0fErrr6klmk4tsY655xiSVlJ/l116aT5tjrRf0LascyUl1DYltLCo0F/SSQB0pb1qneZJi4immVh9pqLuUdGQc23w4Le76tY9Nlp5wApXj1Yw8fQ1o31TzareUlRaQFXp6iRatAqafpb3tdSS66+/IZ9ubHz7Goieo5rnN5O+Hjw8/aHoEAV6nZ4KRjpFSH/W2hdPFajob2WLp5pl6n124N0BAAAAAABApfEyAwAAAAAAVEql00x6ylMBRIuGBKVUGLHWaYUQWttKGdXbCjmylk+hq3sMBCnVagjJ71v0dZUysr3mufaKUkZVkaLS9gDAw0qXjY7i7+m3Rftw0fZY/Txr1P9oWo0njTmlsl3K8bR4jvPnPndUt8tU0YoVKzv8dxl9gqOOmlL4OosybdoX8ukf/3hZPu05t6y0EV0NqIz+lqfSkuezWktLSz6t26/nR0V/g1r3WYuVTmaltFHNBAAAAAAADCi8zAAAAAAAAJUyINNMUkRHa05Zp2aFKHmqt3i2a4VbeaZJhUinj7+u6nLl0qX5tD62S5cs6fB5qpv0vlPnzMmnFy5YkE9Hw+Wi15gV+hsNgS4jZLWosGEAaNfVfSXa9/JUmLPWqftbVoh3Sp9Ms8K0hwwZ0u1no1UCrOMWfb6U0Re0+qm6zTff/ON8+vOfP7qQ7dbLypW35tPeU0ZXsvBU+qhK9Rf9vTY2xqr1aFY1kKKqR1rr1ykVKWlaVtUS67MpVeWse6J1jlk891OqmQAAAAAAgAGLlxkAAAAAAKBSKp1m0tDQsFloiqf6RrTaiCdkJ1oxxNqutbw1Aqxnv/RnU0TTTKxwrpmzZhXSnqpYsnhxPj09mA5y0sknF90clGD2Kad0u4xORYmG7GrR5aPzLdH7oHW/iIaCAxi4Bg0a1GVYc1HpD9E+XLTCnEX3z6JtKOo+mZJ2kHJso6H3Rx/9uWDr+hcrxdSqrFb1lM6Uyjeec6uMao2etGFLNN3Lo4z0E8/3YrW5rL4dkRkAAAAAAKBSeJkBAAAAAAAqpdJpJv2FJ+zGk77hqXiQEk4YDYHU2/WEfPVX02fMqHcT0AfoVJQrFi7Mpz3pWxZPGKM1X1+TntGpe1PVw2MB9A5PmqtnGU94vqdP46k2okUrHmjR/lwZKYfRdUYrbU2ZMjnUtiq69daf5tNdHZ6U1An9fUyefKS/cXXkSW1ISRWJpoSkXCdFpa5Y7Yku40mZs1LgrIon1naLSpnuCpEZAAAAAACgUniZAQAAAAAAKoU0EyUaBpQSEq6ljO7qCYe0Uk6ibbNCGq3Ukk2bNnX7WQBv89xToqklKVWaUtqWorv1kIYCDAyNjY3u/oOVdqvDqK30Or0N3XfxhGZb6SeeFIzBg9/uhre0tNRcxgrxLrtKVLRqgdXXLCplsj/pmFri2/eU46utWLEynz7yyCNCny3bzTf/OJ8eNKip5jKePk20/+RZj6dam9VO635hVa30/PbypN5Y9zirDdHftdHj7Kl41JPrn1+YAAAAAACgUniZAQAAAAAAKqXSaSZZliWHo3lGZfWIfjYltSS6XWuk2qLCzD1hmLNmzw5tC+jPoilnnlQxaz0pocUp9whrnZ7li2oPgGobNGhQj6otedI0dDqJ9dno+q0KAFYYtXWv9nzWEg0V1zzLW6kxnvZ4tltU/7iv6UlqiYcnnakqz9HPf/7omvN1aoyHlb7hqQDpSfHw0Pct676j25YyFIG+JjVrndHhB1LSla1UtCLPSSIzAAAAAABApfAyAwAAAAAAVErhaSatra1y3nnnyY9+9CNZvXq1jBs3To477jj55je/mYeUZFkm5557rnz/+9+XtWvXyn777SdLliyRnXfeObStWmkm9QpPSwmRSWmz57PRsPQyXLFwYT5NygkGutmnnJJPL7j88prLWCPVR0fyjoYEptwLrBDr6Gj2qSNbAyhPPfp5Vsh8Sh/IqsSmw8Ot+6e+12mez2o65DyaEuxJL/CILm8dT2t+tNJKX6uw4bF8+Yp82joHRGJpH52/l5TvWy9zxBGHd7t8X6PPiZUrb82nPVV2rModWjR9y7NOT/UZnR7iqQBppa5Y7dSslJZouke0Ckx0/T3pgxYemfG9731PlixZIldccYX87ne/k+9973ty0UUXyUL1Y/aiiy6SBQsWyNKlS+Whhx6SLbfcUg444ABZv3590c0BAABAQejnAQD6isIjM+6//345/PDD5eCDDxYRkZ122kluvPFGefjhh0Xkrbcy8+fPl29+85ty+OFvvR384Q9/KGPGjJGVK1fK1KlTi24SAAAACkA/DwDQVxT+MuNjH/uYXHXVVfL73/9e/u7v/k5+9atfyX333SeXXnqpiIisWrVKVq9eLZMmTco/M3LkSNl3333lgQceqPmQ27Bhg2zYsCH/73Xr1uXTqSHI0VGfrdCilFH5deiPFZ5mVV2xQnmsZTx0G6xQSmv9+rPTZ8wIbRcYKKzUEs/o2tHwQE+4X1Fhyfr6t8I8PaGy3YWCknoC1E9v9vMaGxulsbExfI/y3CNSKhVY7bH6TJq+TzY1NYW2W8Z9O5oGGOUJP9eWLbsln/7c547q8XbLpits6MPjqWijeaqYvbWNnof36+mf/vS2fPqwww6tue2+zNr3yZOPzKf1OeQ55zzXlSdFxfqNGE0F0qy+YFG/WT2/Za191FLSVXpSsUor/GXGWWedJevWrZNddtlFBg0aJK2trXLhhRfKtGnTRERk9erVIiIyZsyYDp8bM2ZM/m+dzZs3T7797W8X3VQAAAAE0M8DAPQVhY+Z8eMf/1iuv/56ueGGG+Txxx+Xa6+9Vi6++GK59tpre7zOs88+W1555ZX87/nnny+wxQAAAPCgnwcA6CsKj8w4/fTT5ayzzsrDCPfYYw/505/+JPPmzZNjjz1Wxo4dKyIia9aske233z7/3Jo1a+SDH/xgzXU2NzdLc3PzZvMbGxs3C03xVO4oKlwummZiiYb4ecLIUkKaPGGSFlJLgGJYo1Z7QqM99yM9irZep3X9F1XxKGU06/Z2poSHA0jTm/281tZWaW1tDYdae/qC+h4Y7fd4UjY8y+jtll3ZzlJGxTtP2qP13OkLaYS6YkZR7fFU1ekqVN9K3dSstO++cEyL4ql240lP+vGPl+XT+nha/QtPykb0d5hmpVpE7xGelBBLNBXNcxys5bubHzlnC+8RvvHGG5udCIMGDcoP6IQJE2Ts2LFy11135f++bt06eeihh2TixIlFNwcAAAAFoZ8HAOgrCo/MOPTQQ+XCCy+UHXfcUd7//vfLE088IZdeeql89atfFZG33tbMmTNHLrjgAtl5551lwoQJcs4558i4cePkiCOOKLo5AAAAKAj9PABAX1H4y4yFCxfKOeecIzNmzJAXX3xRxo0bJyeddJJ861vfypc544wz5PXXX5cTTzxR1q5dKx//+MfljjvukKFDh4a2lWWZOwylqBArK6TGE/YcDbuxlvGEW0arHFjhU9Z+pYyoDQx0kcodnZe3lone46xQZ0/IZFGpelZ7LO33I+45QP30Zj+vO5s2bep2GSu1wfpsNDRb0+v3pA9Ew9JT7vMpfU3NqtZhsUL4redOamWDIlgVuKL76/lOrf3t6rNWmzwVU/pTykmKo4/+XD79k58sz6ej/SrrmreW0ee9da+x0ow97bHWH63qYs23zjF9P/VcP92ltET6eYW/zBg+fLjMnz9f5s+fby7T0NAg559/vpx//vlFbx4AAAAloZ8HAOgrGEUNAAAAAABUSuGRGb2pVppJtJpJGVVCoqwQIk/oUnT9WnTfo6FzAN62cMGC0PKe0cqt+Z7rM7r+aOildV/zjtzertZ9kDBZYGBoa2uTtra28H1Dh2nre11KtbYoT8pJVFH9UU8YeEqqhWalNHpCzpcvX5FPT558ZGi7UStWrMyn9WkVDc/XVXI8aVCadd52xZMmrqcPPfSQUJsGgpSqH9b9yFMhxeKpnOnpY0XTej3pLVZVHU+KU1m/HYnMAAAAAAAAlcLLDAAAAAAAUCmVTzPpKjSojIobZYTIWGFAnrQOK8SnjJGLrdClWbNnF7J+QETkcjWo3Klz5tStHUVYcPnlb/9HsGqJFdbnGRW/L7NCr6PpfwD6v0jVOi0lncS6R6WEjUfvXZ77YXQ9mpVOEg1L91RLsCrIWOu0jn/HNJDax2fKlMk113nbbbfXnN9R7fQQT7UQT6VDz7G1ttv589FqFCkVegYCz/HxVJK0rqWWlpaa86NVMa12pqQ2efqUOv1ET+v98ohWy/QiMgMAAAAAAFQKLzMAAAAAAEClVD7NpHM4SjRsJTriftmpHBYrvNEz8rEOP7JGobVER8gFvJYuWZJPdwhVDYbI9WVWqLNnZPjoiNR6PZ4Qa33vsJRxzVvr8cxv30fSTQB0xXO/8tx7rbBx6x5r3Vc9/cV63deKqq5iHStPhQRrPRbrGFqpKK2t3aeK6O1G+80p1Qf1udTU1JRPd04X8FQys9pKn71rn//80fn0TTfdXHMZ/T15qpmkpAT35vel98u6f1nnktUHLSpNzovIDAAAAAAAUCm8zAAAAAAAAJVS6TST7pRdxaOMbUVFR8LVPMvPmDkz3CYgqj+FQ86/7LK3/6MX7x3RkfatcFlP6p3FWj5lJPVaYYzRex2AgcVzj/CkG0QrD0Tvk1rZaSYp27U+a1UnscLVrVRtK2U62mbr+RWtKqKrNHiOj1XVRYfwW+eMVR1Cp7p0XpenHdrkyUd2+9mBbNmyW/LpTZti17DnnPN8tl70eebpw3nucdFqO7U+Gzk29AgBAAAAAECl8DIDAAAAAABUSr9OMymDFUqWEiqeEmak26ND1aJh2LoN02fM6HF7AC9PCsNll16aT582d27pbeop3U4Jpld40j0s1jIpaR1adETqolJLrFDk9pBmT7gtgOprbGx092esaiO6b+RJ9/NUekrhuW9b98CUbaVUv7LaYIWoe9aj21B2GLuVDuP5rCelwPN8tJ6J1u+KztVMPNvT8/XndYWOqVM/X7MdA5l1/XvOS8934RG9zq10Jk+lleh+edqZkpbck3/XiMwAAAAAAACVwssMAAAAAABQKZVOM6kVfpgSnmaF4+j5VpiYJ8TMmu8ZZdkKs4yOlltUagzQE1cuXZpPZ0ZoqxWq9q8XXZRPn37GGSW0LsaqWqJ5rrfotRoNbbXaE00D8Yz87wmvtfZRs8Ih+8LI3wD6jmhos5Zyb4mmEniqHFjzU/ptKdu1eFIj+8K9OqWiQnT9VnqHlbKUmppgpRjUq1JO1UV/F3o+q1lpXSm/Hev1e64v/nYkMgMAAAAAAFQKLzMAAAAAAEClVDrNpJ01SnE05C0lRC5lu9Z6NCsM0DOCrWfE6FmzZ4faCXgtXbIkn87U+aevW0/qRF8Lk5xz2mndLnPpJZfk09H2p4RPW+vx0PeU6Ij61n0npT0ABq62tjZpa2sLVxjwpO9qRT1fPNUDPJ+Ntt+zTs/92VPlxOp3Wtu10nlSKl5FQ/6jxzPluWmlnOjKL57j1nkZq09gpbJ4KrgMZD/5yXL1X933V/T3Z92DrONsXUt6eet7tD7rOUet33+aVUWpbEWmRBGZAQAAAAAAKoWXGQAAAAAAoFIqnWaSZZlkWeYKH/OE4+gQH094oCdExhNK5mm/FQakw54sVvjb7FNO6fazQCp9/nlGcbauhyqGSc79+tfz6csuvTSfjoa5elJOrHuWJ2xQfy/6PugZsT+aFtST8NrObevNUEgA9dOeZmI9I6wQ7L7ACiEvqkKeZ7ueqlie8HPd/ugzOqWqSEp6ZrQNnrSXlPRP6zlrrb8zzzPS+s70/BtvvCmfPuaYqV20uP/pmFpSm6c6jId1zVjKqEQT7Udq1m/iolKgi0SPEAAAAAAAVAovMwAAAAAAQKVUOs2kFk9VkXqFq3sqklisUEGgL1qyeHE+PXPGjHx6weWX11zec01+/Z/+Kb1hdRQNYbVCecu+/qPVTPQyVlir5kml0zypdAD6p8bGxs36Tn25SoN1D4+2U9+HPfdAK7XQ80zxpJloKRXHyk4dtfrK+pxpamqqOd/zbNXHxHpWWqywfa2rvn40NVfzpE5cf/0N+fSGDRvy6a9+9Ss1l++vrO8yWn2nqMo9KdeJp/KTJSW1pLd/pxKZAQAAAAAAKoWXGQAAAAAAoFL6dfyuZ7RfzRpduCjRCinREak92+1rKSo67eCUU08tfP1XLFyYT8+aPbvw9aO26Sq1RPN8xwsXLMin9fl6ycUX59NVTDmxru1opZKUik0eVmi01eZoClx3lUo6q7XvKSGbAKrHky6hefpz1r0upc8UDQm3QtqjlQQ8FUZSqnVYn7WOmyflMHrMPc8gTxpIS0tLzfVr0WeZ9V3o4+BJKe8qNclTkUWnJB1++GHdbk+bNu0LoeWrYvnyFfl0Q0Pt683zfVtVlKzvW4umYEV5zkUr5cRzH0wZ6sC6tosc/oHIDAAAAAAAUCm8zAAAAAAAAJVS6TSThoYGaWxs7BC2okN/9LRnJH5PKJwVEpgSBh4d/doTZmh9dvYpp9Sc3xfolBArVEunLyxetCifNkOX+lhaDbqnz9HL58+vX0MK9k+nn55PX3rJJfl0SvieNYJ9NGVOL+8J97PCA60wWt1OT5Wp7sKb+1q6HIDqse4z1n3V0ydLEa1sZ91XtWhYdzTdw8PzjEs5hil9bovnN4Mn3cmT2uM9np79mTz5SNe6qmDlylvzaX0c9T52TCGxKrzUpzKcrpTjUVR1n2if0pMGYt0TPb+bPfNTEZkBAAAAAAAqhZcZAAAAAACgUiqdZiLyVkhMNIwmOqpsdHlPWF9Ro7haYZJWGJAO2z91zpwebzeFTicZ7Ajh1JYsXpxPZ8HQdf1Zq9rGQPf9q66qOV+fZyeedFJvNccVRlsVl116aT7t2ZPo6NrWdMr6PZ/VodHRik1WO63vun1bVDMBBi6raoZm9Yes1ACrOoEOFR8yZEjNz3rCri2elD1PyLbVfs9zM5oK4WmPJ7Uweqyiff2yKxSmpPZ40pq8oukMVWGdHzq1RIv2P6z5nnPUOrdSUkuse5N1f/G00zr/dNUbqwKQZt1TrPPVamf0t7UXkRkAAAAAAKBSeJkBAAAAAAAqpfJpJiJpoy+nhARGt2Ut76mQ4mmPZoUo1itUf8Hll+fTem891Qw0TzqPJ8RPp5xYn9WpKIuuuKLb5WfOmlWzzX3dVVdemU9bZ0e9zhsrZLQvpEtFec5LzzlthfuljDCvee6JVjik1c5oykx3x6TqKUcAihdNr9CssHFPKofVhqii7mueUG4rxcZSRj81KlpRwRKt8OL5bHS71rQ35SQlXacvW7Fipfqvnld689ApIfr6t1JFUtJ3rfNMb9c6t6xz3ZOKppf3pOFE+22WaGpJrW1Ftk9kBgAAAAAAqBReZgAAAAAAgEqpdJpJW1tb/teujPDjaDpDdD2e0CXPSLWedJu+IBqWGF3e+i48ofGalVqi6c8uXrQon54xc2Y3Le4dVy5dmk+boZVqeetY9GYFE23u17+eT+vUEt1+a76enn3KKfn0wgULas4vW1FhutF7jWedmud+lPJZz/3auj7bQzJTQrkB9E+e/pC+/+gQb09anyfNxNOGvtBvS62g0c7TZivU3bNOT+pitI/ume9J3fCcP5p1HDzLd96Gnj7mmKndtrVsy5bdUnP+5z53VD59880/zqd1NY2O33FTPu1Jf4rypJZ40kC06FAH0fR63baU37ue68pKq4uKDrdAmgkAAAAAABhQeJkBAAAAAAAqpSHry/kIhnXr1snIkSPlwgsvlKFDhxa2XissJhouY0mpQuAJXbJC5DxhPTqcvyie8H99TDzVDKLholp0tF9PSKPVBov+rE5F0dVVLLq6ytIlSzr8m+d8ssLToik9J518crfLFGX+ZZfl09aIzkVV95g1e3ZPmtglfQ1onmvVExbrOecsKSl5KWHS0ZHkay2/fv16OfPMM+WVV16RESNG+BsOoBLa+3k/+MEPZIsttjCXiz7vNU96hQ611qHxnj6NlapgzS+qWpslpbufUinGklIR0FPJIdoGvR4d2m/1U60UhOh+aZ5Ups5aWlry6d5MOdGpJVblOU3vmyfNwZPioZexzomUVC5P2kW0emQ0rSvld56H9V14+tye9vQ0teyNN96QE044wdXPIzIDAAAAAABUCi8zAAAAAABApVS6mkmWZflfu5SR+LvaTnfr8YRMeVIVoqF8Vtus8CArzOuSiy+uuV29njmnnZZPL7j88m7b35gQ5mmF+Flt84SaWqOSW+3xjDDtSUWx9lFXPxFHZZzOqSVR0dGU+0J1nKam2iNbW6GeFk+ahj6+1negU2yuuvLKmm3T526rCv+02uPhSR3yVEvxhMV6wpij90TP/c5aT611VjA7EkAJyrgXeMKuvRUoulveEr33eioPpKRjpFQ/KSpV21NhxNNv8VSrSVmnRzS9tyfbKJv+PqzqJJp1rK0+h6dyR1HXm8VqgycdKPpbsKh0Kc98LZoa05NzN6J9/ZHjQWQGAAAAAACoFF5mAAAAAACASgm/zLj33nvl0EMPlXHjxklDQ4OsXLmyw79nWSbf+ta3ZPvtt5dhw4bJpEmT5JlnnumwzMsvvyzTpk2TESNGyKhRo+T444+X1157LWlHutPQ0FDIn05taWtry/+s+Z6/zsev1l/KfrW2tuZ/ep2NjY3536BBg/K/pqam/E8vc8XChfmfXr/+rF7e0zaLXo9mHTcP63ha7bHmW23zfF8e0WPVk/VqRbW7bCnHRS9vfX8Wfc4tWbw4//PcC/S2rL+U/bLWo+nrU7Pan3LdpvDcQ/W9DEA5+lI/r7t7juceZd0Do/c9ff+xlrG2Zd2r9X3Psy/R55e1v9HnlLXd6PPC2l9P387zvPN8VrfB6h9bbfbM9xwHvV1r3/UyndtnfZf1Yj2brWts8ODB+V/K8fXsu3XOWfM967H2UV//nvPb2q5eftOmTfmf1TeK/na02mD1la39SrkmPcfBK3w3fP3112XPPfeURTrfX7noootkwYIFsnTpUnnooYdkyy23lAMOOEDWr1+fLzNt2jT5zW9+I3feeafcfvvtcu+998qJJ57Yox0AAABAMejnAQCqIjwA6EEHHSQHHXRQzX/Lskzmz58v3/zmN+Xwww8XEZEf/vCHMmbMGFm5cqVMnTpVfve738kdd9whjzzyiOy9994iIrJw4UL57Gc/KxdffLGMGzcuYXcAAADQU/TzAABVUWg1k1WrVsnq1atl0qRJ+byRI0fKvvvuKw888IBMnTpVHnjgARk1alT+gBMRmTRpkjQ2NspDDz0kRx55ZFIbPKPfWqzlo6PBWqIVAzzVOvT+eioMeNYfbUNRo/Fqej3RkX+tEcetY2VtS4sun3IuWVKPreeYeugqLDNmzkxqUy1LFi/OpzMVslhGekP0PPOcT0VdD57PWtettYzne4+uxxK933m0L19WqguArvV2P89KVYhIqTQRXb+nIobVx/KI9mM8917dZp0eo5ex0j+i1cSsPrqnGoa1TqtKl6d/bLGqVXiq2VmstnlZ36uevvrqa/Lpr3zluPA2unPjjTfl09YueM4/fex01TpP/6nV6BdG+zqedFXruy+7D2Kdu54KilpKO1P6cEX8no60vdCXGatXrxYRkTFjxnSYP2bMmPzfVq9eLdttt13HRgweLKNHj86X6WzDhg2yYcOG/L/XrVtXZLMBAADQDfp5AIC+pBLVTObNmycjR47M/8aPH1/vJgEAAKAA9PMAAD1RaGTG2LFjRURkzZo1sv322+fz16xZIx/84AfzZV588cUOn9u0aZO8/PLL+ec7O/vss2Xu3Ln5f69bt07Gjx/fYRTadinhzFbYV1FhOtHQHE/4lCeMzpNO4mmPJxyyqDSKlJA9az1W2KDVBk/boueYFSLm+V66CmksKuQtmiKxdMmSfNq6fnQqyoLLL6+5/JAhQ/LpRuNYe76zoo6pJ93IOuc850Q0pcWjqDS5sttTROoNaSZAffR2Py9ldPzupqM8920rZcMjmlpo8aSiePp2njD8lJRDD2t5fWx1Oz2pGCnbtZaJ9h96EsJvfcb6/n7wg/+dT2/atKnmMied9PagvD/84XX5tJ32E/sdUEZqq5X6YaUAada14Ukh8fbHu/ushz7+0f3SUn6T6XMmml4V7QenKjQyY8KECTJ27Fi566678nnr1q2Thx56SCZOnCgiIhMnTpS1a9fKY489li9z9913S1tbm+y7774119vc3CwjRozo8AcAAIDeQz8PANCXhCMzXnvtNXn22Wfz/161apU8+eSTMnr0aNlxxx1lzpw5csEFF8jOO+8sEyZMkHPOOUfGjRsnRxxxhIiI7LrrrnLggQfKCSecIEuXLpWWlhaZNWuWTJ06lRGuAQAA6oh+HgCgKsIvMx599FH55Cc/mf93e1jgscceK9dcc42cccYZ8vrrr8uJJ54oa9eulY9//ONyxx13yNChQ/PPXH/99TJr1iz51Kc+JY2NjTJlyhRZsGBBuPHtaSZd/XutaUtKKIxnZOKUUEcrjM4zqm/KdqNVGlJSRaKs/dLfhQ6TspaJjiaeoqjQq56EylqheUVt21r/FQsXivqHfLJDaokRtqbnW99TNO3HU6HHWr9mfdYaWd0jJa1D83zWczyjyk7/IM0EKF9f6ufVYj0XrHtXSgUKT8qG5knZs56/0X5JNFXBc3w0Tx/Lk4pi8VSf8LQtpUqIddx0mL/1XUerW6SmAljfgec808vofbvmmmvVMt2fux7RPkTKd6ZF+7iea8OzjCetxurXetZv3bOsvmZKFRLP0AWe76vIFBKPhqy3t1iAdevWyciRI+X888+XoUOHFpabXVQupWf90Zws6wTzvMywSm152ma1J+VHoLWM58e99bC3Pmu9zIiOBVKUlHMymn/bmed8Kirvzspj1NP6geoppxv98e152eAZMyM6Rk1K7qynw6t57hdRKZ1iT+e0COvXr5ezzjpLXnnlFcLRgX6ovZ93zTXXyBZbbGHel4p6mRHNsbf6VZ77p+c563neRUuPen4IadH2R3l+1HleZlh9DI/oCyprvqdvFy3b23md1tgs+vMtLS01p/Xyuu9lvbSx5qf8TtLnnKc/mzLmmOca85z3umysp9/s6VNGX2ZY7def1b91PGOBeH7bpZQ2LsIbb7whxx9/vKufV4lqJgAAAAAAAO0KrWZSL0VFRUSjBKy33Jqngoa1fustrvVGtqgReIt6A+d50+5JKdBvHFPCyKzPeqJbrPVHoyWioXve/7sdjfqxtuHZdrTd0aofevno/z2yeP4vmrVO6zr0RCF4zteUyLKUtJSyQ0c93280TJf0EmBgaWhoyP9qsfpY0f9b74n69Pzf2JRoQqtv54mqjLL6PVY7i4rM8FROie5XtC8bjTTwpKxG+zwendtvbUMfO2vaE2VpVdDw9HOjfaCUiOhoH0srqgqdJ0rDOv6e3yhatH8fPf+i109KCpIl9dwgMgMAAAAAAFQKLzMAAAAAAEClVDrNJMs2r2aSMlBP2WHgKayQSSscMpoKEA23stbjCb30DNLlCc8qY0Aaz/qjKQtFtbOr9XhSX6IjLmuea8BzvDwDDaWkTlhSUlRSBta0zvveOCd6KuXe4ZEy+FX78qSbAANDrX6e5ukfeEK8UwZ9tp4LVoqstR5rGWsgc81zT0wJ5Y4Ofu1JM7SWt9JLPf2E6DMxOoCsTsXwiKbBe/t5mtV3tlK3rQEuPakoZQ+Gqll9Ry1abcg6Dp6BO6O/k6IDA3vSuopKXU65Zsrof6Wuk8gMAAAAAABQKbzMAAAAAAAAlVLpNJPW1tbNQpWiIWBatMavZ1RmzyjA0dD1lMoVmifsyRPaFQ0/9IRS6WmrzrMVLuYJX7N4vgtPiJhW1Mi/3vPEOuc81V88Us4/z4j0VohpyrFLGVHcWk/0fhEN64tew9HPFrXdaBpO2W0DAP0ciVYAsVIeNKv6hiddJaqo+54ntdOSktLoCYeP9hmi7U/hOW7WfH3+6HQhz7a6qmaSkk4TrcKXUnlEi6Y0eyrJWev3VBKKpp+lXMPWeqJVY6x1eiqh6OOpfytHKwmVkV6vl29vT+S3HJEZAAAAAACgUniZAQAAAAAAKqXSaSYNDQ2bhRtZI/laostbYUCekCZrvmc0ZSvcxjMyr2dUXC2aNmKJhmRZIVCeEcGj4WV6GatyikdR6QKpFTyiof7REaA1z4janu/JU7FGi4ahWm1ICZnUbfZcJynVgKIjZ3vCDD3nhuf8s45tdAT0lHYC6P/aq5kUdf/33N+s6iGeFM6iUjai6azW+q30AivUPcpzbKMpuCnPlDKqoaVUzGlpaam5jOY9bilpq5qnHWWkNnmOnacf42Gt3xqKwJPO5KkUU1SFkegynsp51u8qaz0plTOLrOLjQWQGAAAAAACoFF5mAAAAAACASql0mkl3ohU3tOhIuFYaSDQkzdPmlDD5MkZ9TglN86TbWCGcnlAqT+WUlBBOT9qO9dnodrtKR/KkKnnC0FJC3qzj4tmW1U6LJ4WkqBDTokZr7k1lhItGt+sJ844eW6qZAANLW1ubtLW1mWHdnrB0nV5hpZimpOB5wsw9YfWe56anbdby+jh4QvtTKnB5qkAUlUoTXSbaT6jXMp2Xt85XnTKg5+u+cDTVs6hnbbRvG+1Tl52iolmpFp4+ricVLaWv6VnGk9pt3TejqWLR1Pfo8pt9PvwJAAAAAACAOuJlBgAAAAAAqJR+l2YSDf2OhsJZYdRWOJGe9oyEremQICs80FJUmHlRVRo8rLQdawRuqw3WSOTWiMZWipDFE26Vsu/WdFdVVzypJRbPd+z5PjZu3Fjzs57Qv5Twy+go6JonrNeT8uRps4cnnSwl3NdzTKxwP33NeEKpPccq2s726b6c4gOg/jwpu9Hno1UBQLPSWKz+n/VZi9Vm636rq2mkpI14qk3p4+PpV3iOSQqrQl60XxtN80557qf0I0V8qTuebZRRlcean5piUGs91rY8v9WsNnhS4aOVEstIhy4q3bqoqiU9TTmJDKlAZAYAAAAAAKgUXmYAAAAAAIBK6XdpJhZPOLPmSTnRrBAfT2i2p9JKyijDZYRkFzW6rrUvVlpNNATPClOyUkuiIz5r0fC46PfSVchVSmie5mmTNYp2yvedEvIaXU+08lBK2KcVXue5H3nOxZTvvaiQWgAom6daluezKRXFoqmL0eeUJzw8mhbqSQ+x9DQNsKt2eipCeNrjEU3VtJ591rQ+zkX1ibtiVZfw9DM8yqhm4mGl41vXecp+eZbxpKvo7z7az/P0+TzXueccKFv0Huf5LtqPbWQ/6KkCAAAAAIBK4WUGAAAAAAColEqnmbS1tUlbW5sZAqZZoXYpoWHWCLZ6eR2KFK0AkFIFIhq+ZykjjN2zjHVMoiF01vG05kdHcI6mI6XoKoQzJVVB85yjnv33VPGJpm94RphOqeKRUhHG4rnXFDmSeYQnBNIK+QSA3pRyPyyjkkN0W9F02eizIKXqVlGVs6xt6fVb/YGi+qzWdqOiFdA8PCk/Xa3f85sgus/R3x9l8BxTTz89mvLg6ddaqT0WT9/XUlSqW1E8fb6U76LI9hOZAQAAAAAAKoWXGQAAAAAAoFIqnWbS0NAgDQ0NpYcNekabjaZ7eJaPps9oKSP/ekIUrf2ywsV0VRfPCNAp32MZaRae9XtSPaxKIPr4aN4wrGh4nWc/Pak+1vo9qSUp15V1jlrpXtb+etpphRmmVCEqY+TzaBqIVTFIsyq/WFLCBq3rpDdHVQfQt2RZJlmWhSsDdF5Hd4qqkBBNb7QqJGie8H9ruylpB9HqJNbz10oRiFYZ1KKfLSNNqSjeY677jCmVPlLS0z3bKipNy5rv6c95UnpSqumUne7hSdkqQ/S6ilQn6bzOIhGZAQAAAAAAKoWXGQAAAAAAoFIqnWbSU54wl5TRnT1VTizR0W+1lNQMT8iaZ788oaBWtRcPqyJJlBX25AnhskLgPekIHp5w0c7rtL57vZ9W+1LC+jQrVUYrO/wwGg4aPf+sdBtL2SkSRaWTaSmhv1HRcHEAA0t7OrFHUSHMRaUlW6x+htWv8vQLPaklnnt+Sjh5SopvUff8lLTzsqtDeJ5xPennFVXNToumSEU/a4n+/kipEuTZrsWTHmbN97Tfaltviqa0eKqGWve41P4fkRkAAAAAAKBSeJkBAAAAAAAqZcCkmURDizzheJoOJ0oZIdeaHw2Li6ZLRKte6P31hExaaR1lVFqxlrdY6RRWCommR5f2fI/RcFGtq33Rn9Ft0jyhgtY2PKORW9uy0ls061z0hE960iJSQh3LrpBU1EjpKSOaW9+vdZ2nhAfWK2QSwMBRdtUFSzRE3cNzv+0L91XPMyJFUWH4KZVxUkTTQTr3ra20BU/fyFo+pWqiR/S3iMXzPem+r9XX9vQ1dcp0UedEtP9qKeN89fTjU1J7UtrgRWQGAAAAAACoFF5mAAAAAACAShkwaSZFscJodEiTDmOy0k80Twh/NE3Gs92iQoKs1Iwywgy1osL/dfujoWne8MCIMtIaOq/Xap91Hre0tITWHz0PoqG5KcfXWmdvnqOWMlLULJ57SrQak3XfKer7AjCwNDY2SmNjY7hqlWeZlKp1OqRdh6VbaaWe9E/P87FeKX6ePp/m6VdFKwt6Uko9bbPSJ4tKLfH0C63vsav0b/3fuk9mVZKLpummfDZ6XnrOdasP4amIGK3Sp7dl9Xf1cdbXc7R/E72XeVLBoylMZdxTUlL7UqpTihCZAQAAAAAAKoaXGQAAAAAAoFL6XZpJSmh2Ck94dTRsyxNynvLZMkaYtkK+PKGCUSnfoyc9R9MhUHpfmpqaCm+bp6JIT3hCbaPhb9b6rUo2KWkRntC5opQ9+rqlr6WZRMMbrXV6qh+V/Z0CqJ62trbN7j1F9fNS0h49KSrRalBFVbOylNFn8myrjOdgSmh8UX2Joo6nps+Zzue9Tm3Q/6bn6z6pJ/XXSrWw0qWs6id6Pda0Fr0+Pf1IzUrr8vw+83w31jFMkTIkQPSzZaR/e+5r1jlpnUteRGYAAAAAAIBK4WUGAAAAAAColH6XZuIJtSkqhNwTnmW1LRqe1psh2J7RoKMhhCmpLp70mejozEWNwKvDznQoXjQkTrNSWroKvbJCArsaGbu7ZazRyK1QO6ut1ndWRkWSlLQLz/q1aEidZ/3W95iS8hPdbspo1p7lrfMbADobNGiQDBo0yFXxISXlNeW+5HneWc9QS0q/IVplLfpMKSrNxHOcPf0Wa7senn5kGb8frPRm7/pTUhI8qaT6u7Eq91jnXLQKmqedFk//z5O63VV6T3ftiV4blqLOaS2lv1hGVTzrHEv5zSRCZAYAAAAAAKgYXmYAAAAAAIBKqXSaSZZlhYV8FSklTNsKzUkJKfOwwtysUHcPT8hXb4b/e1IuPOu3tmWlnERD7npSicYK8YuG/Vvhr55ztKv2RdZp7YvmCQn2nB+9mb5Vr+1GWWGb1nmcOgp1RPt2++J9H0Dv86QxpvTDUu41Vhh1tA3RPoEnXSKaStObVT9SUn/L6NsVVRHQ0zfVOs/3pKSmpIZ6+mGeymTRczHK00fRx85KjSkq3byMlKTosARlXw9Rnt893R2ryPEjMgMAAAAAAFQKLzMAAAAAAEClVDrNpNYo12WEHxc1KrO1TiscyrOtlDA3a/Req23WerSUEY2LqgLjCefUYXmeNlg84XqeY2Udc28YnDUythV+aLU1ZRRnqz3W/JQQXM85qkVHTY+mfvVmaKu1fFGhgtY+lpHqFv0e27dVdjoLgGqzqnp5FNWntNIho/0YT3pIURVGelNK/9Wj7PD8KOt55+nzdf68/q1QdtqqJw2m7KpyUdG+Rcr6PVU5PG3ozXOxDJ5KjJ77V0/SiYnMAAAAAAAAlcLLDAAAAAAAUCnhlxn33nuvHHrooTJu3DhpaGiQlStX5v/W0tIiZ555puyxxx6y5ZZbyrhx4+TLX/6yvPDCCx3W8fLLL8u0adNkxIgRMmrUKDn++OPltddeCze+oaFhs78UtdbX1TobGxvzvxTt6TLtKTPtf62trfmfnt/W1tbjP70e3f7Bgwfnf7o90WOi16//PMfZsy3r+Og/D6udVps1fTytder2R7fVk/PZ8xnPMbXOlRTWdq1tRb8PD+u70X/6etDXgL42irrmi5JyjVms78U676OsY1j2OQDApy/18yL3H31viS6v7/Oee461jF6n/rP6BHq+1Y+x7tt6/Vbfrqh7qfUc8dy3i+oDeZ5r1vG3/qL93d58Hum2dU6N9hwj6/zT57o13/psyu8tfX5b16dnvzzzre9Jbzf6u8Fav7Uez/ltHee+wHNsPcc52qfsyXEI98hff/112XPPPWXRokWb/dsbb7whjz/+uJxzzjny+OOPy/Lly+Xpp5+Www47rMNy06ZNk9/85jdy5513yu233y733nuvnHjiidGmAAAAoED08wAAVREeAPSggw6Sgw46qOa/jRw5Uu68884O86644grZZ5995LnnnpMdd9xRfve738kdd9whjzzyiOy9994iIrJw4UL57Gc/KxdffLGMGzeuB7sBAACAVPTzAABVUXo1k1deeUUaGhpk1KhRIiLywAMPyKhRo/IHnIjIpEmTpLGxUR566CE58sgjy26Siw6ZsUbsjY5ObYWl6fk6TMmqbGKNfKzbYLXHWsZqm2c9RbXNCt33rDPKEyLo+b4smzZtyqf1fnn2sawQM91u65yzlvF8fylt8Ix2bB3HSBWMzstbI97r5a2qPH057SHlfpRyj/Ow7h2R49mXjz0w0JTZz9PpGHped1JG04/e66xtWfdSq+JBimifL4W3+kbR2y2Kp4/h6ZN5+ojRY9JVlTdrvZ6qdda5aLXJ852V0S+0qvF5Phu93qL9D+uznvnWevqy6DlgXT89/b0R6eeV+jJj/fr1cuaZZ8oxxxwjI0aMEBGR1atXy3bbbdexEYMHy+jRo2X16tU117NhwwbZsGFD/t/r1q0rr9EAAADoFv08AEA9lTaKXUtLixx99NGSZZksWbIkaV3z5s2TkSNH5n/jx48vqJUAAACIop8HAKi3UiIz2h9wf/rTn+Tuu+/O39aLiIwdO1ZefPHFDstv2rRJXn75ZRk7dmzN9Z199tkyd+7c/L/XrVsn48ePTxqVuZ0nBEyHOnm2Z4W9WyE7VghkNPXACp/3iIYKWWFq0bAwrScjCtcSDY2y9jEq5bOe0LeuKmhYoW0poZLRtKWUCh/WZz37H02p0NOedCBPGlW0PUXxpHt5wk6t42yFZ3rOK0+Kiiedp5aqhGkC/VVv9fPaqytY917rXuQJP4/21TSdBqx5wqv1+vV8zzM0JSXYkvIMTQnPTxEN7beeL57loynQKX2Grp6tnj6Zp/9ozS8qLSL6e8WTAm39tiijL2D9FvGcN579so55Sh+6jNRbT0q2xfMb2lpP+zJ1TTNpf8A988wz8otf/EK23nrrDv8+ceJEWbt2rTz22GOy1157iYjI3XffLW1tbbLvvvvWXGdzc7M0NzcX3VQAAAAE0M8DAPQV4ZcZr732mjz77LP5f69atUqefPJJGT16tGy//fZy1FFHyeOPPy633367tLa25vmRo0ePliFDhsiuu+4qBx54oJxwwgmydOlSaWlpkVmzZsnUqVMZ4RoAAKCO6OcBAKoi/DLj0UcflU9+8pP5f7eHBR577LFy3nnnyU9/+lMREfngBz/Y4XO/+MUvZP/99xcRkeuvv15mzZoln/rUp6SxsVGmTJkiCxYs6OEu+EaGTglzs5aPjohcFE/7rdBFTxhTtHqIJ9wqquww8pTUEk/4qmaFrHnOSU9IlpeVXuFJ74m21dMGzwjznvWnVKZJCa/ty6KpJVpKOLEnHNfalqVWG8q4rwJ4S1/q59WqZpJS2cTDk/Zo8YRUR1MktGhYerQ6hEdKNbGipKQ3WqmU3rTe7ljnQDQVtPOxtfbNk6YcTWcvqg9hzY/2vaz2W7//rAov0dSyaH+ojHPd8xvU8z2mtC2l4qLnfpHazwu/zNh///27PCCegzV69Gi54YYbopsGAABAiejnAQCqorRqJgAAAAAAAGUopZpJb/OEdHlYIVBWWF/KCMrRtlmpAJ71WyPSekKvtOjyRVX3iIruixat7BGtjGOl/0RDBr3Hx/p8S0tLzeWt88mTKmNtNzoCtyUlHDSaKhYNJywqLaqoFDhPyKFnndH2eM5dz3at+e37RZoJMDA0NDRsdt/ypBJE0ye9benpMimpJRbrPuipzFVU6nXKMUnpq3lC160+g1WJxtMPK2pfPNW7Op/DVrs9PL8JypByrqf0QYuqUmgpqqJPSsqcPh/08Skqxd9T8S5arce6BnTqe08QmQEAAAAAACqFlxkAAAAAAKBS+kWaSVHhclZoXkqFFE+Id0r4YXS7nhFprfaUHbaleSrUpIw27RlRN+X4aymhdVpX1T8837ee9hxfq02eEZSj50dKuKmWkt5SVCqEJZpiU8YxKSq8ObovnuMcue9UpaoMgDS10kzKqJbQeZvdLWNJ6a94nq3Ws9uTtqB5jlX0eWp91uI5Jin9VGt5zzHUPP1mna7hCZn3pEd0bo/+N51i4PmeUtKBPM/vlPPPmraOqfV9FFVJUh9bqw+tlf1b0EotsZZJSZNOSfn2VCi0KtHUan+kj0pkBgAAAAAAqBReZgAAAAAAgEqpdJpJe/ihJxTFEx7U1Xa64wnzioaiR0PEPG2LhtdF168V1eaUZaKf9Yy6Gw1f84RDetKavCkR1vdthYZ5zjMrxSgl7SLKU8Ekeu2VkSbkaY+nDWVfPymVZTyfjZ4z1vK1vkfSTACIFJdmbK0zRcp6rLBxTwUuj+g9vOyqF5ZoKpD17LDa76mY4Qmfj+rJeevZB2t5T5/JEk0t8fSdo7/bomk1lqKqikR5qhdq1rmr5+vUG318rO8levyjijqGPennEZkBAAAAAAAqhZcZAAAAAACgUiqdZtLY2NhlVQctGjodHX3fml9UKI9npOAywtij1So8o0HrkKloykZKGKknNC1ldG1rGesYelIirPDGro6b/jcdhqZDKK2QPS16vKIVUjzhftF0kihr1Opo2lhRqWUpUlKhoteJxVMlyDpnIhWGygiRBND3tKcSWyPfR6uspVSvKCpMu6hnSrQiiWe+Fk2pKOrZ5+l/WxVDUqpGlFH5y9P/9qQZd/43z3kcrdbmOV4enrSo6PqLqsxiLePpM6WkTngqsETTvKPH1kpTso5DSuqap8JQd/cm0kwAAAAAAEC/xcsMAAAAAABQKZVOM6lVySQl/MgK2dGhOdGQ/JQwQM36rDX6slbU6MtRnvC9qJSRl/vCCOWap/KDppfpHLal/9sK3bdCc6OhatH0qmiFGM+oz9H2eKoZWalcVhWYokbOL0P0OvGEN1vTnnMsmsLXXZupZgIMDO3pxJ6qE5rVb/OkilhVIKzUhpT+nxbtW0TTVTz7XlRKRUo6dLR6hp7vCduP9klS0hE854aVDlxk3z0lzSHlt0s0NavoihheVip8NA09mmobbVtK39qizzm971bf12qbZ9+t6Vr7GLkXEZkBAAAAAAAqpZKRGe1vc9avX7/Zv1lvkjyDE+rBADVPZIZ+sxqt55zyf3iLiszw/F/X6ACgnnrlnrd90UialEFryo5iiQ5IZUmNzNCs/6vh+Y49/yejqMgMrajIDGsgVM81VtQAYZaU8zi6/uign56Bnjxv7D1v/mvZsGFD+DMAqqP92n7jjTdEpOO9oqjIDI+iIjMsKfdtaz0p/aqinmUpA59HB5hPiTSwomLLjszQNm7cmE939VvCihhIiegpOzKjjMFTy2BFJ0QHxIxGAacMbKqnrb6s53y1fp9FIzM8mQueyIx2b775Zpfr1RqyCvYG/7//7/+T8ePH17sZAIA6ev7552WHHXaodzMAFIx+HgDA08+r5MuMtrY2eeGFFyTLMtlxxx3l+eeflxEjRtS7WaVbt26djB8/nv3tp9jf/m2g7a9IefucZZm8+uqrMm7cuLqNCQSgPPTz2N/+iP3t3wba/or0jX5eJdNMGhsbZYcddpB169aJiMiIESMGzEkjwv72d+xv/zbQ9leknH0eOXJkoesD0HfQz2N/+zP2t38baPsrUt9+Hv9LCwAAAAAAVAovMwAAAAAAQKVU+mVGc3OznHvuudLc3FzvpvQK9rd/Y3/7t4G2vyIDc58BFGeg3UPY3/6N/e3fBtr+ivSNfa7kAKAAAAAAAGDgqnRkBgAAAAAAGHh4mQEAAAAAACqFlxkAAAAAAKBSeJkBAAAAAAAqpbIvMxYtWiQ77bSTDB06VPbdd195+OGH692kQsybN08+8pGPyPDhw2W77baTI444Qp5++ukOy6xfv15mzpwpW2+9tWy11VYyZcoUWbNmTZ1aXKzvfve70tDQIHPmzMnn9bf9/Z//+R/54he/KFtvvbUMGzZM9thjD3n00Ufzf8+yTL71rW/J9ttvL8OGDZNJkybJM888U8cW91xra6ucc845MmHCBBk2bJi85z3vkX/5l38RPe5w1ff33nvvlUMPPVTGjRsnDQ0NsnLlyg7/7tm/l19+WaZNmyYjRoyQUaNGyfHHHy+vvfZaL+6FX1f729LSImeeeabssccesuWWW8q4cePky1/+srzwwgsd1lGl/QVQH/Tz+k+/R6OfV/1+T2f9va9HP29l/m99sp+XVdBNN92UDRkyJPvf//t/Z7/5zW+yE044IRs1alS2Zs2aejct2QEHHJBdffXV2a9//evsySefzD772c9mO+64Y/baa6/ly5x88snZ+PHjs7vuuit79NFHs49+9KPZxz72sTq2uhgPP/xwttNOO2Uf+MAHslNPPTWf35/29+WXX87e9a53Zccdd1z20EMPZX/4wx+y//iP/8ieffbZfJnvfve72ciRI7OVK1dmv/rVr7LDDjssmzBhQvbmm2/WseU9c+GFF2Zbb711dvvtt2erVq3Kli1blm211VbZ5Zdfni9T9f3993//9+wb3/hGtnz58kxEshUrVnT4d8/+HXjggdmee+6ZPfjgg9n/+T//J3vve9+bHXPMMb28Jz5d7e/atWuzSZMmZTfffHP21FNPZQ888EC2zz77ZHvttVeHdVRpfwH0Pvp5/affo9HPe0vV+z2d9fe+Hv28Ffm/9cV+XiVfZuyzzz7ZzJkz8/9ubW3Nxo0bl82bN6+OrSrHiy++mIlIds8992RZ9tZJ1NTUlC1btixf5ne/+10mItkDDzxQr2Yme/XVV7Odd945u/POO7NPfOIT+UOuv+3vmWeemX384x83/72trS0bO3Zs9q//+q/5vLVr12bNzc3ZjTfe2BtNLNTBBx+cffWrX+0wb/Lkydm0adOyLOt/+9v5pu/Zv9/+9reZiGSPPPJIvszPfvazrKGhIfuf//mfXmt7T9R6qHf28MMPZyKS/elPf8qyrNr7C6B30M/rP/2edvTz3tLf+j1ZNrD6evTzNlfvfl7l0kw2btwojz32mEyaNCmf19jYKJMmTZIHHnigji0rxyuvvCIiIqNHjxYRkccee0xaWlo67P8uu+wiO+64Y6X3f+bMmXLwwQd32C+R/re/P/3pT2XvvfeWz33uc7LddtvJhz70Ifn+97+f//uqVatk9erVHfZ35MiRsu+++1Zyfz/2sY/JXXfdJb///e9FRORXv/qV3HfffXLQQQeJSP/b3848+/fAAw/IqFGjZO+9986XmTRpkjQ2NspDDz3U620u2iuvvCINDQ0yatQoEen/+wsgDf28/tXvaUc/7y39sd8zkPt69PPq388bXPgaS/bSSy9Ja2urjBkzpsP8MWPGyFNPPVWnVpWjra1N5syZI/vtt5/svvvuIiKyevVqGTJkSH7CtBszZoysXr26Dq1Md9NNN8njjz8ujzzyyGb/1t/29w9/+IMsWbJE5s6dK//8z/8sjzzyiJxyyikyZMgQOfbYY/N9qnV+V3F/zzrrLFm3bp3ssssuMmjQIGltbZULL7xQpk2bJiLS7/a3M8/+rV69WrbbbrsO/z548GAZPXp05Y/B+vXr5cwzz5RjjjlGRowYISL9e38BpKOf17/6PSL08/pzP09kYPf16OfVv59XuZcZA8nMmTPl17/+tdx33331bkppnn/+eTn11FPlzjvvlKFDh9a7OaVra2uTvffeW77zne+IiMiHPvQh+fWvfy1Lly6VY489ts6tK96Pf/xjuf766+WGG26Q97///fLkk0/KnDlzZNy4cf1yf/G2lpYWOfrooyXLMlmyZEm9mwMAfQ79vP5noPXzROjrDVR9pZ9XuTSTbbbZRgYNGrTZKMdr1qyRsWPH1qlVxZs1a5bcfvvt8otf/EJ22GGHfP7YsWNl48aNsnbt2g7LV3X/H3vsMXnxxRflwx/+sAwePFgGDx4s99xzjyxYsEAGDx4sY8aM6Vf7u/3228tuu+3WYd6uu+4qzz33nIhIvk/95fw+/fTT5ayzzpKpU6fKHnvsIV/60pfktNNOk3nz5olI/9vfzjz7N3bsWHnxxRc7/PumTZvk5ZdfruwxaH/A/elPf5I777wzf1sv0j/3F0Bx6OfRzxOp7v4OtH6eyMDu69HPq38/r3IvM4YMGSJ77bWX3HXXXfm8trY2ueuuu2TixIl1bFkxsiyTWbNmyYoVK+Tuu++WCRMmdPj3vfbaS5qamjrs/9NPPy3PPfdcJff/U5/6lPz3f/+3PPnkk/nf3nvvLdOmTcun+9P+7rfffpuVYPv9738v73rXu0REZMKECTJ27NgO+7tu3Tp56KGHKrm/b7zxhjQ2drzNDBo0SNra2kSk/+1vZ579mzhxoqxdu1Yee+yxfJm7775b2traZN999+31Nqdqf8A988wz8p//+Z+y9dZbd/j3/ra/AIpFP49+XpX3d6D180QGdl+Pfl4f6OcVPqRoL7jpppuy5ubm7Jprrsl++9vfZieeeGI2atSobPXq1fVuWrLp06dnI0eOzH75y19mf/7zn/O/N954I1/m5JNPznbcccfs7rvvzh599NFs4sSJ2cSJE+vY6mLpUa6zrH/t78MPP5wNHjw4u/DCC7Nnnnkmu/7667Mtttgi+9GPfpQv893vfjcbNWpUduutt2b/9V//lR1++OGVKV/V2bHHHpu9853vzMt1LV++PNtmm22yM844I1+m6vv76quvZk888UT2xBNPZCKSXXrppdkTTzyRj+rs2b8DDzww+9CHPpQ99NBD2X333ZftvPPOfbZkV1f7u3Hjxuywww7Ldthhh+zJJ5/scA/bsGFDvo4q7S+A3kc/r//0e2qhn1ftfk9n/b2vRz+vb/fzKvkyI8uybOHChdmOO+6YDRkyJNtnn32yBx98sN5NKoSI1Py7+uqr82XefPPNbMaMGdk73vGObIsttsiOPPLI7M9//nP9Gl2wzg+5/ra/t912W7b77rtnzc3N2S677JJdddVVHf69ra0tO+ecc7IxY8Zkzc3N2ac+9ans6aefrlNr06xbty479dRTsx133DEbOnRo9u53vzv7xje+0eGGV/X9/cUvflHzmj322GOzLPPt31//+tfsmGOOybbaaqtsxIgR2Ve+8pXs1VdfrcPedK+r/V21apV5D/vFL36Rr6NK+wugPujn9Z9+T2f086rd7+msv/f16Of17X5eQ5ZlWfHxHgAAAAAAAOWo3JgZAAAAAABgYONlBgAAAAAAqBReZgAAAAAAgErhZQYAAAAAAKgUXmYAAAAAAIBK4WUGAAAAAACoFF5mAAAAAACASuFlBgAAAAAAqBReZgAAAAAAgErhZQYAAAAAAKgUXmYAAAAAAIBK4WUGAAAAAAColP8fRfqgi7tTidcAAAAASUV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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", + " warnings.warn(\n", + "/opt/conda/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from matplotlib.pyplot import imread\n", + "from skimage import morphology\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "import cv2\n", + "from sklearn.metrics import accuracy_score, confusion_matrix, ConfusionMatrixDisplay\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.model_selection import train_test_split\n", + "from tensorflow.keras.models import Sequential, load_model\n", + "from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout\n", + "from tensorflow.keras.utils import to_categorical\n", + "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "from sklearn.cluster import KMeans\n", + "from tensorflow.keras.callbacks import EarlyStopping\n", + "\n", + "class Palm_Graph():\n", + " def __init__(self, train, test):\n", + " assert (np.array(train).shape == np.array(test).shape)\n", + " self.train = train\n", + " self.test = test\n", + " self.rows, self.cols = train[0].shape\n", + "\n", + "def Low_pass_Gaussian_process(img, D0):\n", + " rows, cols = img.shape\n", + " mask = np.zeros((rows, cols))\n", + " Locx = np.array(list(range(cols)) * rows).reshape([rows, cols])\n", + " Locy = np.transpose((np.array(list(range(rows)) * cols).reshape([cols, rows])))\n", + " D = np.sqrt((Locx - cols / 2) ** 2 + (Locy - rows / 2) ** 2)\n", + " mask = np.exp(-D ** 2 / D0 ** 2 / 2)\n", + "\n", + " f1 = np.fft.fft2(img)\n", + " f1shift = np.fft.fftshift(f1)\n", + " f1shift = f1shift * mask\n", + " f2shift = np.fft.ifftshift(f1shift)\n", + " img_new = np.fft.ifft2(f2shift)\n", + " img_new = np.abs(img_new)\n", + "\n", + " return img_new\n", + "\n", + "class gabor():\n", + " def __init__(self, R, C, n_orientation, scale):\n", + " self.R = R\n", + " self.C = C\n", + " self.n_orientarion = n_orientation\n", + " self.scale = scale\n", + " self.orientation = np.array([u * np.pi / n_orientation for u in range(1, n_orientation + 1)])\n", + " self.gabor_filters_sets = [gabor_wavelet(R, C, u, scale, n_orientation) for u in range(1, n_orientation + 1)]\n", + "\n", + " def filtering(self, img):\n", + " graphs = np.array([cv2.filter2D(img, -1, np.real(gw)) for gw in self.gabor_filters_sets])\n", + " return graphs\n", + "\n", + " def plot_filters(self, n_scale):\n", + " gabor_filters = []\n", + " fig = plt.figure()\n", + " for v in range(1, n_scale + 1):\n", + " for u in range(1, self.n_orientarion + 1):\n", + " gw = gabor_wavelet(self.R, self.C, u, v, self.n_orientarion)\n", + " fig.add_subplot(n_scale, self.n_orientarion, self.n_orientarion * (v - 1) + u)\n", + " plt.imshow(np.real(gw), cmap='gray')\n", + " plt.show()\n", + "\n", + "def gabor_wavelet(rows, cols, orientation, scale, n_orientation):\n", + " kmax = np.pi / 2\n", + " f = np.sqrt(2)\n", + " delt2 = (2 * np.pi) ** 2\n", + " k = (kmax / (f ** scale)) * np.exp(1j * orientation * np.pi / n_orientation / 2)\n", + " kn2 = np.abs(k) ** 2\n", + " gw = np.zeros((rows, cols), np.float32)\n", + "\n", + " for m in range(int(-rows / 2) + 1, int(rows / 2) + 1):\n", + " for n in range(int(-cols / 2) + 1, int(cols / 2) + 1):\n", + " t1 = np.exp(-0.5 * kn2 * (m ** 2 + n ** 2) / delt2)\n", + " t2 = np.exp(1j * (np.real(k) * m + np.imag(k) * n))\n", + " t3 = np.exp(-0.5 * delt2)\n", + " gw[int(m + rows / 2 - 1), int(n + cols / 2 - 1)] = (kn2 / delt2) * t1 * (t2 - t3).real\n", + " return gw\n", + "\n", + "def get_data(number):\n", + " number = str(number)\n", + " train_files = sorted(glob.glob(os.path.join(train_data_path, number.zfill(3) + '*.bmp')))\n", + " test_files = sorted(glob.glob(os.path.join(test_data_path, number.zfill(3) + '*.bmp')))\n", + " train_data = [imread(graph) for graph in train_files]\n", + " test_data = [imread(graph) for graph in test_files]\n", + " palm = Palm_Graph(train_data, test_data)\n", + " return palm\n", + "\n", + "def LOG_preprocess(img, R0=40, ksize=5):\n", + " AfterGaussian = np.uint8(Low_pass_Gaussian_process(img, R0))\n", + " processed = cv2.Laplacian(AfterGaussian, -1, ksize=ksize)\n", + " img = cv2.equalizeHist(img)\n", + " return processed\n", + "\n", + "def process(img):\n", + " img = LOG_preprocess(img)\n", + "\n", + " After_gabor = []\n", + " for i, gw in enumerate(gabor_filters):\n", + " element = cv2.filter2D(img, -1, np.real(gw))\n", + " After_gabor.append(element)\n", + "\n", + " Two_value = []\n", + " for i, line in enumerate(After_gabor):\n", + " _, TW = cv2.threshold(line, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)\n", + "\n", + " kernel = np.ones((2, 2), np.uint8)\n", + " TW = cv2.erode(TW, kernel)\n", + "\n", + " Two_value.append(TW)\n", + " con = []\n", + " for i in Two_value:\n", + " conective = morphology.remove_small_objects(i > 0, min_size=40, connectivity=1)\n", + " con.append(conective)\n", + "\n", + " line = (np.sum(con, axis=0) / len(con))\n", + "\n", + " return line\n", + "\n", + "train_data_path = '/kaggle/input/palmprint/Palmprint/training'\n", + "test_data_path = '/kaggle/input/palmprint/Palmprint/testing'\n", + "n_orientation = 8\n", + "scale = 4\n", + "GA = gabor(10, 10, n_orientation, scale)\n", + "gabor_filters = GA.gabor_filters_sets\n", + "GA.plot_filters(3)\n", + "\n", + "def extract_features(data):\n", + " features = []\n", + " for img in data:\n", + " processed_img = process(img)\n", + " features.append(processed_img)\n", + " return np.array(features)\n", + "\n", + "train_data = []\n", + "train_labels = []\n", + "test_data = []\n", + "test_labels = []\n", + "\n", + "for i in range(1, 100):\n", + " palm = get_data(i)\n", + " train_features = extract_features(palm.train)\n", + " test_features = extract_features(palm.test)\n", + " train_data.extend(train_features)\n", + " test_data.extend(test_features)\n", + " train_labels.extend([i] * len(train_features))\n", + " test_labels.extend([i] * len(test_features))\n", + "\n", + "train_data = np.array(train_data)\n", + "test_data = np.array(test_data)\n", + "train_labels = np.array(train_labels)\n", + "test_labels = np.array(test_labels)\n", + "\n", + "# Veriyi CNN için uygun şekle getirme\n", + "train_data = train_data[..., np.newaxis]\n", + "test_data = test_data[..., np.newaxis]\n", + "\n", + "# Etiketleri one-hot encoding ile dönüştürme\n", + "train_labels = to_categorical(train_labels, num_classes=100)\n", + "test_labels = to_categorical(test_labels, num_classes=100)\n", + "\n", + "# Veriyi artırma\n", + "datagen = ImageDataGenerator(\n", + " rotation_range=10,\n", + " width_shift_range=0.1,\n", + " height_shift_range=0.1,\n", + " zoom_range=0.1,\n", + " horizontal_flip=True)\n", + "\n", + "datagen.fit(train_data)\n", + "\n", + "# CNN Modeli\n", + "model = Sequential([\n", + " Conv2D(32, kernel_size=(3, 3), activation='relu', input_shape=(train_data.shape[1], train_data.shape[2], 1)),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(64, kernel_size=(3, 3), activation='relu'),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(128, kernel_size=(3, 3), activation='relu'),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Flatten(),\n", + " Dense(256, activation='relu'),\n", + " Dropout(0.5),\n", + " Dense(100, activation='softmax')\n", + "])\n", + "\n", + "model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\n", + "\n", + "# Erken durdurma tanımlama\n", + "early_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n", + "\n", + "# Modeli eğitme\n", + "history = model.fit(datagen.flow(train_data, train_labels, batch_size=32), \n", + " validation_data=(test_data, test_labels), \n", + " epochs=100, \n", + " callbacks=[early_stopping])\n", + "\n", + "# Eğitilmiş modeli kaydetme\n", + "model.save('trained_model.h5')\n", + "\n", + "# Eğitim ve doğrulama doğruluk ve kayıp değerlerini çizdirme\n", + "plt.figure(figsize=(12, 4))\n", + "\n", + "plt.subplot(1, 2, 1)\n", + "plt.plot(history.history['accuracy'], label='Eğitim Doğruluğu')\n", + "plt.plot(history.history['val_accuracy'], label='Doğrulama Doğruluğu')\n", + "plt.title('Doğruluk')\n", + "plt.xlabel('Epok')\n", + "plt.ylabel('Doğruluk')\n", + "plt.legend()\n", + "\n", + "plt.subplot(1, 2, 2)\n", + "plt.plot(history.history['loss'], label='Eğitim Kaybı')\n", + "plt.plot(history.history['val_loss'], label='Doğrulama Kaybı')\n", + "plt.title('Kayıp')\n", + "plt.xlabel('Epok')\n", + "plt.ylabel('Kayıp')\n", + "plt.legend()\n", + "\n", + "plt.show()\n", + "\n", + "# Test verisi ile doğrulama\n", + "test_loss, test_accuracy = model.evaluate(test_data, test_labels)\n", + "print(f'Test Accuracy: {test_accuracy * 100:.2f}%')\n", + "\n", + "# Eğitilmiş modeli yükleme ve test işlemi\n", + "def load_and_test_model(test_data_path):\n", + " model = load_model('trained_model.h5')\n", + " \n", + " palm2 = get_data(2)\n", + " test_image = palm2.test[0]\n", + " test_processed = process(test_image)\n", + " \n", + " # Test işlemi için veriyi uygun şekle getirme\n", + " test_processed = test_processed[np.newaxis, ..., np.newaxis]\n", + " \n", + " prediction = model.predict(test_processed)\n", + " predicted_class = np.argmax(prediction, axis=1)\n", + " print(f'Predicted Class: {predicted_class[0]}')\n", + "\n", + " return test_image, test_processed, predicted_class\n", + "\n", + "# Test işlemi gerçekleştirme\n", + "test_image, test_processed, predicted_class = load_and_test_model(test_data_path)\n", + "\n", + "# ORB Feature Detection\n", + "palm_train = get_data(1)\n", + "train_image = palm_train.train[0]\n", + "train_processed = process(train_image)\n", + "\n", + "orb = cv2.ORB_create()\n", + "kp1, des1 = orb.detectAndCompute(np.uint8(train_processed * 255), None)\n", + "kp2, des2 = orb.detectAndCompute(np.uint8(test_processed[0] * 255), None)\n", + "\n", + "bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)\n", + "matches = bf.match(des1, des2)\n", + "\n", + "# Eğitim ve test görüntülerinde özellik noktalarını ve eşleşmeleri görselleştirme\n", + "train_image_color = cv2.cvtColor(train_image, cv2.COLOR_GRAY2BGR)\n", + "test_image_color = cv2.cvtColor(test_image, cv2.COLOR_GRAY2BGR)\n", + "\n", + "# Eğitim görüntüsündeki özellik noktaları kırmızı (BGR: (0, 0, 255))\n", + "for kp in kp1:\n", + " x, y = kp.pt\n", + " cv2.circle(train_image_color, (int(x), int(y)), 5, (0, 0, 255), -1)\n", + "\n", + "# Test görüntüsündeki özellik noktaları mavi (BGR: (255, 0, 0))\n", + "for kp in kp2:\n", + " x, y = kp.pt\n", + " cv2.circle(test_image_color, (int(x), int(y)), 5, (255, 0, 0), -1)\n", + "\n", + "# Eşleşen noktaları yeşil çizgilerle görselleştirme (BGR: (0, 255, 0))\n", + "matches_img = cv2.drawMatches(train_image_color, kp1, test_image_color, kp2, matches, None, matchColor=(0, 255, 0), flags=cv2.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 5))\n", + "axes[0].imshow(cv2.cvtColor(train_image_color, cv2.COLOR_BGR2RGB))\n", + "axes[0].set_title('Eğitim Görüntüsü')\n", + "axes[1].imshow(cv2.cvtColor(test_image_color, cv2.COLOR_BGR2RGB))\n", + "axes[1].set_title('Test Görüntüsü')\n", + "\n", + "plt.figure(figsize=(15, 5))\n", + "plt.imshow(cv2.cvtColor(matches_img, cv2.COLOR_BGR2RGB))\n", + "plt.title('Özellik Noktaları ve Eşleşmeler')\n", + "plt.show()\n", + "\n", + "# Otsu Thresholding\n", + "_, otsu_thresh_train = cv2.threshold(train_image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n", + "_, otsu_thresh_test = cv2.threshold(test_image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n", + "\n", + "# K-means Segmentation\n", + "def kmeans_segmentation(img, k=2):\n", + " img_flat = img.reshape((-1, 1))\n", + " kmeans = KMeans(n_clusters=k, random_state=0).fit(img_flat)\n", + " segmented_img = kmeans.labels_.reshape(img.shape)\n", + " return segmented_img\n", + "\n", + "kmeans_train = kmeans_segmentation(train_image, k=2)\n", + "kmeans_test = kmeans_segmentation(test_image, k=2)\n", + "\n", + "# Otsu ve K-means sonuçlarını görselleştirme\n", + "fig, axes = plt.subplots(2, 2, figsize=(15, 10))\n", + "axes[0, 0].imshow(otsu_thresh_train, cmap='gray')\n", + "axes[0, 0].set_title('Eğitim Görüntüsü - Otsu Thresholding')\n", + "axes[0, 1].imshow(otsu_thresh_test, cmap='gray')\n", + "axes[0, 1].set_title('Test Görüntüsü - Otsu Thresholding')\n", + "\n", + "axes[1, 0].imshow(kmeans_train, cmap='gray')\n", + "axes[1, 0].set_title('Eğitim Görüntüsü - K-means Segmentation')\n", + "axes[1, 1].imshow(kmeans_test, cmap='gray')\n", + "axes[1, 1].set_title('Test Görüntüsü - K-means Segmentation')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "8b860816", + "metadata": { + "papermill": { + "duration": 0.038975, + "end_time": "2024-06-28T11:33:44.030966", + "exception": false, + "start_time": "2024-06-28T11:33:43.991991", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "# **Kaydedilen Model ile Eşleşen Özellik Noktalarının Test Görüntüsü Üzerinde Gösterildiği Bölüm**" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bacefb98", + "metadata": { + "execution": { + "iopub.execute_input": "2024-06-28T11:33:44.108431Z", + "iopub.status.busy": "2024-06-28T11:33:44.107842Z", + "iopub.status.idle": "2024-06-28T11:33:45.743862Z", + "shell.execute_reply": "2024-06-28T11:33:45.742969Z" + }, + "papermill": { + "duration": 1.677675, + "end_time": "2024-06-28T11:33:45.746193", + "exception": false, + "start_time": "2024-06-28T11:33:44.068518", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 281ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Test Accuracy: 66.67%\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from matplotlib.pyplot import imread\n", + "from skimage import morphology\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "import cv2\n", + "from sklearn.cluster import KMeans\n", + "from tensorflow.keras.models import load_model\n", + "\n", + "# Mevcut koddan gerekli fonksiyonlar\n", + "def Low_pass_Gaussian_process(img, D0):\n", + " rows, cols = img.shape\n", + " mask = np.zeros((rows, cols))\n", + " Locx = np.array(list(range(cols)) * rows).reshape([rows, cols])\n", + " Locy = np.transpose((np.array(list(range(rows)) * cols).reshape([cols, rows])))\n", + " D = np.sqrt((Locx - cols / 2) ** 2 + (Locy - rows / 2) ** 2)\n", + " mask = np.exp(-D ** 2 / D0 ** 2 / 2)\n", + "\n", + " f1 = np.fft.fft2(img)\n", + " f1shift = np.fft.fftshift(f1)\n", + " f1shift = f1shift * mask\n", + " f2shift = np.fft.ifftshift(f1shift)\n", + " img_new = np.fft.ifft2(f2shift)\n", + " img_new = np.abs(img_new)\n", + "\n", + " return img_new\n", + "\n", + "class gabor():\n", + " def __init__(self, R, C, n_orientation, scale):\n", + " self.R = R\n", + " self.C = C\n", + " self.n_orientarion = n_orientation\n", + " self.scale = scale\n", + " self.orientation = np.array([u * np.pi / n_orientation for u in range(1, n_orientation + 1)])\n", + " self.gabor_filters_sets = [gabor_wavelet(R, C, u, scale, n_orientation) for u in range(1, n_orientation + 1)]\n", + "\n", + " def filtering(self, img):\n", + " graphs = np.array([cv2.filter2D(img, -1, np.real(gw)) for gw in self.gabor_filters_sets])\n", + " return graphs\n", + "\n", + " def plot_filters(self, n_scale):\n", + " gabor_filters = []\n", + " fig = plt.figure()\n", + " for v in range(1, n_scale + 1):\n", + " for u in range(1, self.n_orientarion + 1):\n", + " gw = gabor_wavelet(self.R, self.C, u, v, self.n_orientarion)\n", + " fig.add_subplot(n_scale, self.n_orientarion, self.n_orientarion * (v - 1) + u)\n", + " plt.imshow(np.real(gw), cmap='gray')\n", + " plt.show()\n", + "\n", + "def gabor_wavelet(rows, cols, orientation, scale, n_orientation):\n", + " kmax = np.pi / 2\n", + " f = np.sqrt(2)\n", + " delt2 = (2 * np.pi) ** 2\n", + " k = (kmax / (f ** scale)) * np.exp(1j * orientation * np.pi / n_orientation / 2)\n", + " kn2 = np.abs(k) ** 2\n", + " gw = np.zeros((rows, cols), np.float32)\n", + "\n", + " for m in range(int(-rows / 2) + 1, int(rows / 2) + 1):\n", + " for n in range(int(-cols / 2) + 1, int(cols / 2) + 1):\n", + " t1 = np.exp(-0.5 * kn2 * (m ** 2 + n ** 2) / delt2)\n", + " t2 = np.exp(1j * (np.real(k) * m + np.imag(k) * n))\n", + " t3 = np.exp(-0.5 * delt2)\n", + " gw[int(m + rows / 2 - 1), int(n + cols / 2 - 1)] = (kn2 / delt2) * t1 * (t2 - t3).real\n", + " return gw\n", + "\n", + "def get_data(number):\n", + " number = str(number)\n", + " train_files = sorted(glob.glob(os.path.join(train_data_path, number.zfill(3) + '*.bmp')))\n", + " test_files = sorted(glob.glob(os.path.join(test_data_path, number.zfill(3) + '*.bmp')))\n", + " train_data = [imread(graph) for graph in train_files]\n", + " test_data = [imread(graph) for graph in test_files]\n", + " palm = Palm_Graph(train_data, test_data)\n", + " return palm\n", + "\n", + "def LOG_preprocess(img, R0=40, ksize=5):\n", + " AfterGaussian = np.uint8(Low_pass_Gaussian_process(img, R0))\n", + " processed = cv2.Laplacian(AfterGaussian, -1, ksize=ksize)\n", + " img = cv2.equalizeHist(img)\n", + " return processed\n", + "\n", + "def process(img):\n", + " img = LOG_preprocess(img)\n", + "\n", + " After_gabor = []\n", + " for i, gw in enumerate(gabor_filters):\n", + " element = cv2.filter2D(img, -1, np.real(gw))\n", + " After_gabor.append(element)\n", + "\n", + " Two_value = []\n", + " for i, line in enumerate(After_gabor):\n", + " _, TW = cv2.threshold(line, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)\n", + "\n", + " kernel = np.ones((2, 2), np.uint8)\n", + " TW = cv2.erode(TW, kernel)\n", + "\n", + " Two_value.append(TW)\n", + " con = []\n", + " for i in Two_value:\n", + " conective = morphology.remove_small_objects(i > 0, min_size=40, connectivity=1)\n", + " con.append(conective)\n", + "\n", + " line = (np.sum(con, axis=0) / len(con))\n", + "\n", + " return line\n", + "\n", + "class Palm_Graph():\n", + " def __init__(self, train, test):\n", + " assert (np.array(train).shape == np.array(test).shape)\n", + " self.train = train\n", + " self.test = test\n", + " self.rows, self.cols = train[0].shape\n", + "\n", + "# Eğitilmiş modeli yükleme ve test işlemi\n", + "def load_and_test_model(test_data_path, model_path):\n", + " model = load_model(model_path)\n", + " \n", + " # Test verisini yükle\n", + " palm2 = get_data(2)\n", + " test_images = palm2.test\n", + " \n", + " correct_predictions = 0\n", + " total_predictions = len(test_images)\n", + " \n", + " for test_image in test_images:\n", + " test_processed = process(test_image)\n", + " test_processed = test_processed[np.newaxis, ..., np.newaxis]\n", + " \n", + " prediction = model.predict(test_processed)\n", + " predicted_class = np.argmax(prediction, axis=1)\n", + " \n", + " # Assuming the correct class is 2 for this example\n", + " correct_class = 2\n", + " if predicted_class[0] == correct_class:\n", + " correct_predictions += 1\n", + " \n", + " accuracy = correct_predictions / total_predictions\n", + " print(f'Test Accuracy: {accuracy * 100:.2f}%')\n", + "\n", + " return test_images[0], test_processed, predicted_class\n", + "\n", + "# Test işlemi gerçekleştirme\n", + "train_data_path = '/kaggle/input/palmprint/Palmprint/training'\n", + "test_data_path = '/kaggle/input/palmprint/Palmprint/testing'\n", + "model_path = '/kaggle/input/trained_model/keras/trainmodel/2/trained_model.h5'\n", + "\n", + "GA = gabor(10, 10, 8, 4)\n", + "gabor_filters = GA.gabor_filters_sets\n", + "\n", + "test_image, test_processed, predicted_class = load_and_test_model(test_data_path, model_path)\n", + "\n", + "# ORB Feature Detection\n", + "palm_train = get_data(1)\n", + "train_image = palm_train.train[0]\n", + "train_processed = process(train_image)\n", + "\n", + "orb = cv2.ORB_create()\n", + "kp1, des1 = orb.detectAndCompute(np.uint8(train_processed * 255), None)\n", + "kp2, des2 = orb.detectAndCompute(np.uint8(test_processed[0] * 255), None)\n", + "\n", + "bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)\n", + "matches = bf.match(des1, des2)\n", + "\n", + "# Eğitim ve test görüntülerinde özellik noktalarını ve eşleşmeleri görselleştirme\n", + "train_image_color = cv2.cvtColor(train_image, cv2.COLOR_GRAY2BGR)\n", + "test_image_color = cv2.cvtColor(test_image, cv2.COLOR_GRAY2BGR)\n", + "\n", + "# Eğitim görüntüsündeki özellik noktaları kırmızı (BGR: (0, 0, 255))\n", + "for kp in kp1:\n", + " x, y = kp.pt\n", + " cv2.circle(train_image_color, (int(x), int(y)), 5, (0, 0, 255), -1)\n", + "\n", + "# Test görüntüsündeki özellik noktaları mavi (BGR: (255, 0, 0))\n", + "for kp in kp2:\n", + " x, y = kp.pt\n", + " cv2.circle(test_image_color, (int(x), int(y)), 5, (255, 0, 0), -1)\n", + "\n", + "# Eşleşen noktaları yeşil çizgilerle görselleştirme (BGR: (0, 255, 0))\n", + "matches_img = cv2.drawMatches(train_image_color, kp1, test_image_color, kp2, matches, None, matchColor=(0, 255, 0), flags=cv2.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 5))\n", + "axes[0].imshow(cv2.cvtColor(train_image_color, cv2.COLOR_BGR2RGB))\n", + "axes[0].set_title('Eğitim Görüntüsü')\n", + "axes[1].imshow(cv2.cvtColor(test_image_color, cv2.COLOR_BGR2RGB))\n", + "axes[1].set_title('Test Görüntüsü')\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(10, 10))\n", + "plt.imshow(cv2.cvtColor(matches_img, cv2.COLOR_BGR2RGB))\n", + "plt.title('Eşleşen Özellik Noktaları')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "1d641c84", + "metadata": { + "papermill": { + "duration": 0.040247, + "end_time": "2024-06-28T11:33:45.826722", + "exception": false, + "start_time": "2024-06-28T11:33:45.786475", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "# **Birden Fazla Test Görüntüsü Üzerinde Modelin Çalıştırıldığı ve Özellik Noktalarının Eşleştirildiği Bölüm**" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "140f5a2c", + "metadata": { + "execution": { + "iopub.execute_input": "2024-06-28T11:33:45.909126Z", + "iopub.status.busy": "2024-06-28T11:33:45.908797Z", + "iopub.status.idle": "2024-06-28T11:33:49.453262Z", + "shell.execute_reply": "2024-06-28T11:33:49.452331Z" + }, + "papermill": { + "duration": 3.587667, + "end_time": "2024-06-28T11:33:49.455133", + "exception": false, + "start_time": "2024-06-28T11:33:45.867466", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 276ms/step\n", + "Predicted Class: 1\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Predicted Class: 2\n" + ] + }, + { + "data": { + "image/png": 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oo4/GRhY8etjSsOWWW8rAgQPlvvvuk80331yee+45+fOf/xybZqWVVpL3339ftttuO3ObM0V7Etxhhx0mCxculC233FLOOecc84vOSiutJKlUSkaMGCGrrLJKp/MfPXq0jB49Ws444wz573//K5tttpnccMMNcv755yde9yTXS/t7+/Xrl9VrjRDyy4b/PUII6ZL88Y9/lLKyMjn66KNl7ty5sX+bN2+eHHPMMdKtWzf54x//GL1+7rnnytNPPy333ntvWgVq/fXXl5VWWkkuvfTStDHPs2fPztj6FxcXy+TJk2XDDTeUXXfdVd54442lms9WW20lW2+9tVx88cXS0NAQ+7eddtpJWltb5dprr429fsUVV0heXp7suOOOi81vrbXWkieeeEI+/fRT2XXXXWO//2nvW1JdXR17T/v//KcgsjqVSslVV13V6fqne29NTY3cdtttnb53acjPz5e9995bHnvsMbnrrrukpaUlpq2JiOy7774ybdo0ufnmmxd7/6JFi6Suri4j69LxvO3Ro4esvPLKS4yw3muvvaSgoEDOPffcxSLCU6lUNM/a2lppaWmJ/fvo0aMlPz8/YxHZSa6XMWPGSEVFhfz1r3+V5ubmoPcSQogXjugQQrokI0eOlDvuuEMOPPBAGT16tBx++OEyYsQImTp1qtx6660yZ84cuffee6P/Of7www/lL3/5i2y55ZYya9Ys+fvf/x6b30EHHST5+flyyy23yI477ihrrLGGHHbYYbLCCivItGnT5Pnnn5eKigp57LHHMrYNZWVl8vjjj8u2224rO+64o7zwwguy5pprBs/n7LPPjgIVkF133VW22WYb+fOf/yxTp06VtddeW/71r3/JI488IieeeGK0bzryq1/9Sh555BHZaaedZO+995YpU6ZIUVGRrLTSSlJVVSU33HCDlJeXS/fu3WXjjTeWUaNGyUorrSSnnHKKTJs2TSoqKuShhx5a7Lc66fjNb34jxcXFsuuuu8rRRx8tCxculJtvvln69esnP/30U/C+8LDffvvJNddcI2effbaMHj06+s1SOwcffLDcf//9cswxx8jzzz8vm222mbS2tspnn30m999/f9THZ0m0tLQsdo61s+eee0r37t1l9dVXl6233lrWX3996dWrl7z11lvy4IMPyvjx4835rrTSSnL++efL6aefLlOnTpU99thDysvL5dtvv5WHH35YjjrqKDnllFPkueeek/Hjx8s+++wjq6yyirS0tMhdd90lBQUFMnbs2PCdloYk10tFRYVMmjRJDj74YFlvvfVk//33l759+8r3338v//znP2WzzTZb7As6IYQEs5zS3gghJCN88MEHqQMOOCA1cODAVFFRUWrAgAGpAw44IPXhhx/Gpnv++efNyN+Ot8J33303tddee6V69+6dKikpSQ0bNiy17777pp599tlomkzES7czZ86c1Oqrr54aMGBA6ssvvzS3FeOlO7LVVlulRGSxuOIFCxakTjrppNSgQYNSRUVFqZEjR6YuueSSWBxwKhWPl27nkUceSRUWFqb222+/VGtra/Ta6quvniosLIxt2yeffJLafvvtUz169Ej16dMndeSRR6bef//9xbY/Xbz0o48+mlprrbVSpaWlqeHDh6cuvvji1N/+9rfF9m/H+GzEEy/dTltbW2rIkCFpo7fbaWpqSl188cWpNdZYI1VSUpLq2bNnav3110+de+65qZqamiXOf0nx0rhN559/fmqjjTZKVVVVpUQk1atXr9QFF1yQampqiuaVbn+lUqnUQw89lNp8881T3bt3T3Xv3j01atSo1Lhx41Kff/55KpVKpb755pvU73//+9RKK62UKi4uTolIaptttkn9+9//js0n3XFvP28vueSS2Ovt11DHyOqlvV7a5zlmzJhUZWVlqrS0NLXSSiulDj300NRbb70V258drxlCCPGQl0o52mMTQgghJGvce++98sgjj8g//vGPrMx/zJgxctJJJ8kOO+yQlfkTQsjPEX7RIYQQQpYzCxYskN69e0ttba2UlpZmfP7XXHONvPHGG3LXXXdlfN6EEPJzhb/RIYQQQpYTX3zxhTzxxBPy008/SXNzszQ2Nmb0i859990nCxYskPvuu0/69euXsfkSQkhXgF90CCGEkOVEQ0ODXHDBBdLQ0CCnnXbaYs08k/Lpp5/KRRddJAMGDJCLLrooo/MmhJCfO1TXCCGEEEIIITnHcu2jc91118nw4cOltLRUNt5446XuI0EIIYQQQgghyHL7onPffffJhAkT5Oyzz5Z33nlH1l57bRkzZozMmjVrea0SIYQQQgghJEdYburaxhtvLBtuuGHUEKytrU2GDBkixx9/vJx22mlLfG9bW5tMnz5dysvLJS8vb1msLiGEEEIIIWQ5k0qlZMGCBTJo0CDJz1/ymM1yCSNoamqSt99+W04//fTotfz8fNl+++3l1Vdf7fT906dPlyFDhmRzFQkhhBBCCCE/U3744QcZPHjwEqdZLl905syZI62trdK/f//Y6/3795fPPvtssekbGxulsbEx+nv7INTZZ5+9WAwnjvAsy9Ge0GUVFBRENQ6qWTXimSbJullY35rb2tqC3mttO84HX8f1x/m0tramXZZne0P3m7VcnA9uF2Jtl2d7rfksCWvbPO/P1LniuQ7xddynuB9xGs/1YB0znKd1/lnLxXWzjj3WOI3nWFrrbG27dd4g1rmIWO+1luu573T2P2sd5++5BqzlDh8+vNNpMvU8CF230Hni8cJ9aM2/sLAwbd3U1BTVxcXFUY37ubm5Oe1y8XXEOiet89ZzDljXiOf+jljHxTqvQs95z/3HOnae52XofdJLpj47WOth7aOWlpaoxu23nj34Otae+6w1H+vejeuGNYLzLyoqSjtPvMbw9ZKSkqi2njHWOZHknuW5R1v7x/OcCF2u5zz2bK91Dbfvw0WLFsnxxx8v5eXlna5rl4iXvvDCC+Xcc89d7PXS0tLEX3SsaTwHzjMfiyRfdDwfdJKsm/Vez4079EPnL+2LjlXzi052v+jgh8FsfNGxHtL8orPk+Sf5otOtW7dOp/mlfdHBml90Fp+mq3/R8azPkv7tl/ZFx/pyk+SLjvWcwC86eB3+HL7oWNcbrmcoy/KLDtYdn22efbRcvuj06dNHCgoKZObMmbHXZ86cKQMGDFhs+tNPP10mTJgQ/b22tlaGDBkieXl50Z92cCdYF0voDcWDZ3rPB17PF6BM4TnZrIdc6DwtrGVZHwKsh33o/knyZTFTX6aT3MSWZnlJzq0k55/nWIZ+IUCSXLfWg8fzJdpaf88XXs+56/ky4f3ym44kH/w9D2zPsjz/0eT5kJQNrP1svR56rlqvJ7k28cOZZ//gB75sGBB4HeE57/lC7/nC5PnykeRej/OxPhxb/ynieaYmua9m8nh57jWeY+P5Uuw5L0NHKawP9aH/mWido9a2W196rHuEtR+s68T7xTaEbFznoV/YPdsS+tlzifNK9O6lpLi4WNZff3159tlno9fa2trk2WeflU022WSx6UtKSqSioiL2hxBCCCGEEEIslpu6NmHCBDnkkENkgw02kI022kiuvPJKqaurk8MOO2x5rRIhhBBCCCEkR1huX3T2228/mT17tpx11lkyY8YMWWeddeSpp55aLKBgSaRT15IQqgl4fr+ChLrv1hBvqNpgDeN78CgGSfD4x9YQsjUkHDos6tknlgaJhL7+cySJDhTq3WaKUAUuVIkJdfw953QSPSkbvzvJ9rKs+YdqKZ5jhyRZ51BlzrpP4Trg72AsRcVzjXg0Oc89LlT/tbQdfB0VL0vPsXRtz/PG8wxI8ts463lpaUrWb548v7Wy1s3z28+OhD7TQn//6Pls4nmvZ3088/S87lmWR+m2prfq0OecR+ENfT30OZcpJT/0ZyLWezubPuTevlzDCMaPHy/jx49fnqtACCGEEEIIyUGWy290CCGEEEIIISSbdIl46SXRUV3zDJtlQ7tKkvplKQyeqD3P8F3oEDpixf6GKjxIkmjaTOHRDj0qjYdlcb5lap1CNS0Lz7EPTe4KTb4JHVrPlCYQqmBkIznNE82bZFnWPvTopKEJY55EJU/aUzZUGmt6671WZG2S6zf0WFi6miet0cITm29FD4fiUbo99wfE87p1vuEx9RyXJNfsks4Tj17tSYLzLi/dcq1lhSqqHpLoT0k0udD18ZCpzz7L8jOUh5+Ltv/z2iuEEEIIIYQQkgH4RYcQQgghhBCSc3R5dU0kWaqTJ93LmsbT+MuTiGNNn+2kkkw1dkKs/RM6ZO5Zh0ytf6ZULM86eIbqLRXAq0dlarg4VOXyKC6h+8vCk3KWqUaEmUpa83R99+henkQpD55zOlQt83SDD01sCtXPsqGlWITegzJ17Kz3Wg2zreOCOhl2dkdCG1wWFxennT++F/U5z7XguW96lOgk+qXnGHnOf4skqYwdpwu9jyTR6TzbHJo058E6L63Grhae+5d1785UKmWSBDNrPp7kvmw3XfYkVIbS/t6QeXBEhxBCCCGEEJJz8IsOIYQQQgghJOfICXUNsYYYk6TaeJKEQlOsMtVI0INneNij5HlSeTxDuZkapvXM05p/NrDOmdDGr6FKUbq/pyN06Dt0eDlUcckUHh0jVFfzvB6aKuZpfBuaqJiN1KIkJLmvedbf08DRM8/QRpOhWAldobpdppK7rOWiQmZN79kW67jj/C2lKPScSaJBW1jzsbYFsdJIrfWxlEJLsfM8Pzq+x/P6kuaV7r3W56nQBrpWQ1nPM9CTDpdke620vsbGxrTTJGlgHKoXeu6PSZrGIqHLstY/NI3Us73t2xWi3XFEhxBCCCGEEJJz8IsOIYQQQgghJOfIOXXNMwRtTY94hqCTqCKhQ5jWfDzrYKVveLbdSusITW8JxVJUstHoL1PN+kKTgUK1oyXpDKgVWA1oQ4eRPVpBplKnkpAkgc0zT8+yEGu/ZSPhJkk6nIUnMdAzPWIpxdY8PQofToOJYZ5Gop7lhl4v1nwylSiYBE+SmPW8xOOFiWoerGNtLdd63niORaimmCntyLOenmV5znnv+eC5LyRJqM3UvSz02kCam5uX+r14PPB5iecfKna4njh9qMYWqqh57rnW/D3L9RD6jE+SFOfZD+2vhzTF5ogOIYQQQgghJOfgFx1CCCGEEEJIztGl1bW8vDzJy8tzDWt7hgA9STxJlBxrWBGH4Cy1LBtpbJlqcJUkRSnJtnjSrUKXmykVzaN9hR5TnAaH7UVspSR0aN2TDBaqVWRbc8zUeea5ti2NMlQh8zQrDNUcMqV1hq5/EqXFc/+11s1KwbKmt/ST0Ovco9LidYTXqrXOHmUuiXZl3R9xW6xjZ+0rxDqOnqS1JPeNJPpvaKNLz33As1xrn3sSs5a0rFA935Pcl6RRq6UWWU1tQ5MErXXw3DdRdbWS5Sx93nN9ekhy30esbbc+V1rrkGS51jw9hD5HlwaO6BBCCCGEEEJyDn7RIYQQQgghhOQcXVpda8fT1MoauvcoWNlIikI8w65JUi08ZDupzMIaus/UPEP3W2iimjXUHZqi4lF+cJqioiJzulClB7GGrK15JklDspZrkSlFMvQ88zTEDW36GZo0E5oA5mmemERJ8KynhyTJldZ8kiTmWVqNtSzP6x5Cr6PQhqdWEqMH1M/wvuNZzyT39NAEKU/TwlANz7r2Lf3MOmc851KS51O6v3c2L2u9Pfs9U/f0pdnOzubjUcus52dDQ0Pa13F6K3XN8wy3nqMhCWIdsRItPc+tbHzmTfIs99C+n0PmwREdQgghhBBCSM7BLzqEEEIIIYSQnKNLq2uFhYVSWFiYKAEIh+WTNNbKlHpjpdRY6VlJmn5lW/mxhkhxeNWap7W9noQOzz7xpCWFzt+jkHiUE09SVMf95kmgC0158ehPSKh6Eao2hCqnFp5mtKHHMklijSdZy7ONHmXRWgfP69a6hSZfWfO0FGQP1jnvUZlDz39ruZ5zO1M6YmgjVMTat9b24nll3Qc911EooYoagutjNYEMvb95EixDUzsRa39a818adS10/UL1wWwQum6e68Saj+f5n4TQzw6h6baWemt9drDuBUn0tmyra+3vpbpGCCGEEEII+UXDLzqEEEIIIYSQnKNLq2ttbW3Rn3Y6NlJsxxquS6LAIKEaWKbmH6pgZKNhYxI864C6gaVRJMEazvcM7Vv706NEhh6LpTl2SbTL0PQqzzB4kkaBSXQdD6EqYTbw3KdC1QYkdL95zl1Ls7Hw6Jse5cxaT0+zRawxUclSh0Ox9NzQVD2PdmTprU1NTWnf69Fhrfug1TjR0mcQz7nn0dWs91rLtfazpSyFNgO1CNW+PdN41Urr2eVpUOrRqzzqqud+jdebR7/2JDx69qP1fLbuC1aCmXW/TqKZJmlGi9NbKrMnPTBUtbTu3aHPS2tb0t0XQubNER1CCCGEEEJIzsEvOoQQQgghhJCco0ura62trdLS0hKcFJUkvSk0AcTToMyajzVPqymUJ1XIk5rjabiZZGjWSpmzmtp51EQP1rZYQ62hqTShyW+WQuLREZcmcSc0RSqJWueZxqP0hDYEDF230GRAz/XpGX63CE0ASnL/Ck3JQ0ITqDzrYK1PaLpXqG6ETQJDNbxsE7pdlnpnnVc4fXFxcdrlWlqKdc8K1bQ8x9HzjAnVZKz19MzT0yQU8dxXPetvPadFbI0qVJEMTVT0XM+4PpaW6km7y9RPDfC8t57/uFzU2Dyfg0ITFT3am+c8C9WaPddAqD4X+jywsPZh++sh92qO6BBCCCGEEEJyDn7RIYQQQgghhOQcXVpdE/nfkFamUpGS6DlJhtNDG2KiMmA1iLKG1j06gEcjQjxDpJ4kDmuoG/GkrniaolkpMx51LXRfhSZ4ZUoT60iSdLJMKW2ebfY0i0VClTzPeiZpyot4NJBsJCF69luorpYpPIpNqCKMeBoSW8lDllaLWpc1H+t16/wJ1beSJLCh8mslpHnOeY/y69EOkzxXLH3O817Ecw16VCwPoZqlRyla0jIypV1b+wXPJ0ulx+sn9NmIhN5DEWvdPE1zLTXKul94VKpQzc9aNwtPAp61Pp7PRNb6WNd2NnQ7pq4RQgghhBBCiPCLDiGEEEIIISQH6dLqWiqVkra2ttjwGKZjePBoI6HNykKHVz16laUYhCYzeRQhzzBzqG6QRBOwUn8sPKlxSRLqPMOrVoOxUEXFqxdlKo3GwpPc4xkeD1VxEM/1Y+FRG0LnmUQl8Jw3SRqvWSTZh5nCo9V6EtjwddRkPAqJpzFwpvY54lG/QrWlUB02VMGyVDHUl6xUKlT+PI07Pfcuz7PKwnMf96heHm0PCT2XQpPcOv49ND3U85zxPKOs68pSyDz7y6o917lHx7Tm6XmGZ+pZ6zk/kui81jpnu5l86Gccjz6+NM8qjugQQgghhBBCcg5+0SGEEEIIIYTkHF1aXWvHSsFAPJpMEn0D1YkkQ4BWkoU1jOpJD/IMDYauZ+h+XlKjs87maQ21WsP7nvl4dEHE2m/WfraOhac5qYUnSasjSTRExFInPYRqdUkam2ZqfTzKgycdJ1QV8ayDZ9tD94+1T0IVo1CNMMn1jMuy1CnP/re2MbSxoTX/JPffJGlsnv1pzcdat6ampqhGjc2TVmUlwuE8Pfs5NBEx9JwMTWj0qJUeddaTkrUkDc2jkFkkOVes6ZFQRcpzLoZqY57rOST1qyNJNDbPMy/0/pjk2RC6n5OkiIb+lGFp4IgOIYQQQgghJOfgFx1CCCGEEEJIztGl1bVUKiWpVCpRQkRokk22U3k8CgDiGbb0DAOHqllL09AsHZ7EM897kzRjRO3Q0gc86uDPhWwkplgJfaHJYEnWLYkGhmSqcWqm3hua1BSqJHia7HrwpOp51gdJso2himDoNKhXhZ7bVmKmB4/CZBGaWIhY+jWuDyqCoamDSGNjY6fr6VHULEXYk3aYRMG10hFDr0FP+h+ypGdkphIVrbS0UM3Jc7+wnquea9vTiNdqlGtN7/lMlCmsbUyiKXtUesSTeun5LJzkXu/5WUO694Y89zmiQwghhBBCCMk5+EWHEEIIIYQQknPkhLqWJBHHej10+M0ztOkZjrW0IM/Qo4Vnu6x9iPpGKKGN6RDPkLknDQvX3xqSR0ITWKz3Lk3Dt87wKgiZSiHzDN0nad7nWZ/QRCOrtoboPSTRXSwlIRvKo+fcDW3cl2QdEM8+t+5xmUrGtMhUYma29+GyxNJePElxuD9Dn3mee66n0arnHmI9JywsVSfJ+enZh5lM+QrV+zwqlOce7bkPehqhe+7jnuk9ibZJGlFb02SqwahnHTzrFtrQ2qMRerbXUk499+L2cyPkWcwRHUIIIYQQQkjOwS86hBBCCCGEkJyjS6tr+fn5iw1fZSqZyYMn1QJJ0sgyVP1CQrc9U42aQofGEU+6R+hQa5IGgNZ8QpuuWkPjnm1Z0lBttrUZz7omWYfQhnJINpLQskGmVChPGlWShnhJ8FyfHkXNmt6jKyRRfTy6MK4nKk+WsoUkUT0txcNKh0yS8heqNYY2gbaud2t/hqaQWfPEFC6cvyeZ0JPeFjqN55wPbRTpXYan4THuOyuR0Np3nme4Nb2nobd1jnqeSVaz22w8ezzXYTY0Oes8Dk0P9CwriWJunT+dafRU1wghhBBCCCG/aPhFhxBCCCGEEJJzdGl1LS8vb7HhvNC0iI7zC3mvJ1HGmk+SGgltRucZTvYMo4ZqY0matnmaqnmaWllpPR61J/S8SqKAZaM5mRfPcHcoHl3KStwJVRgtkrw3U1pgknTIJCmQlkqQpLmkNb3n/PYoXkmaM3oSnkKTKK1188zfem8oHrXMUlcs7cjzDEtyjXhS0ax7tCfNzKOZWQqctR88hN5PPOp5qP7ecZ6ehq8W1rllqZChzXoRj56EWNez1by2qamp0/XJ9k8ZPFiqonU+eRTGUI0121jL9Wip1nza90PIzzk4okMIIYQQQgjJOfhFhxBCCCGEEJJzdGl1rR3PEHcSVcEzH0+qijWf0OHhUGUudHokdJ+EHgtP009rfTpL5ehIcXFx2uUmSZnzJLYkTVTz4NmnoU3xkFBFxzPPJMpQEgXT04zWWm6oLmnNJzTJKjRVyLNuHm3Msy3WtepJJ/TMP8l+RjyNCpM0jrTwPCes+SOe5wGC2xJ6Dmeq8WUSxRSfi9b92jOf0Iae2U4pDVVzEVx/1H+8y7aUx9DksdDjEfqc8HzOsuZvaVGW6uYhyX0HCdX8rYRHS2lLck8PxfMcylTiZ7rpQ+aR8RGdCy+8UDbccEMpLy+Xfv36yR577CGff/55bJqGhgYZN26c9O7dW3r06CFjx46VmTNnZnpVCCGEEEIIIb9QMv5F54UXXpBx48bJa6+9Js8884w0NzfLb37zG6mrq4umOemkk+Sxxx6TBx54QF544QWZPn267LXXXpleFUIIIYQQQsgvlIyra0899VTs77fffrv069dP3n77bdlyyy2lpqZGbr31Vrnnnntk2223FRGR2267TVZbbTV57bXX5Fe/+pV7WalUKvqzPPAMN2Y7acmjIXjSKbKRaIVYTaFCFTLPcLtHeQg9Fp7Xs3GsM0mS4eJMpdQhSZKBrPXMBp75e5o/LotjnG5ZoeelRxULTZdKomaGapPWenpSrUK1Ik+jSWs9LWXZo1dZyVihzfcsQrXpJJqy1RDW2hYreS9UC7Km8RxTi0xpTdb6WKl0Ir7noaVmeq55T4qaNU8k9Lqyjjcqapi0ZqXPWddbprS6JMc+NBES8TQ29hDa1Da0cXWSn4akm/9yVdc6UlNTIyIivXr1EhGRt99+W5qbm2X77bePphk1apQMHTpUXn311bTzaGxslNra2tgfQgghhBBCCLHI6hedtrY2OfHEE2WzzTaTNddcU0REZsyYIcXFxVJVVRWbtn///jJjxoy087nwwgulsrIy+jNkyJBsrjYhhBBCCCGki5PV1LVx48bJRx99JC+//HKi+Zx++ukyYcKE6O+1tbUyZMiQtNqaZ6g5NCHCMx9rmM3TtMmjvYSqZUk0qiSKU2iqmDUsbQ2xe45v6PpnQyFLMoy9NPO3zjlPOo7nmCXZR6GpWZZulCTBxXNNevSVJEkziOd69qSEedRVa7kWnn3radxpNa9L0pA4VCXy7CtMY/IcO0/jYcTSbTyanEdH8hyj0PumJ/XKc28JvW9Y2hFiaWyIdb6F3n88zXZDz2frXtTc3Jz2vd5mqZbOiOttJfFZywu9N1nzsc4hS8WzktM86WpWUpl13XqUttDnTRL9PzSl0aPnW9e/RydNor2GphyG3EdCngVZ+6Izfvx4efzxx+XFF1+UwYMHR68PGDBAmpqapLq6OjaqM3PmTBkwYEDaeZWUlEhJSUm2VpUQQgghhBCSY2RcXUulUjJ+/Hh5+OGH5bnnnpMRI0bE/n399deXoqIiefbZZ6PXPv/8c/n+++9lk002yfTqEEIIIYQQQn6BZHxEZ9y4cXLPPffII488IuXl5dHvbiorK6WsrEwqKyvl8MMPlwkTJkivXr2koqJCjj/+eNlkk02CEtdE/jd0tTRpPh4tIlT9wNexMaU1HO2Zp0WS5mnZnn+oHhU6FLosk6t+bixp2z3pRh6VBV9P2sQ0HaF6VagqlkRbRJI0lMsGmdLhPIRew4hH5/WkNGVKyfVomaGpYtb9KHSaUOXXo7pZr4fu/9AUqNDEOcST2OY5ty3dxqPhhB6vTDVCRP3K0vCs9eyod3uOjVV7dEyPZm6ph5bOZCl2CCaqWdN0bJ7a2TpY25hE+05yXwt9fniuf6vBqHW9ec71UN3TQ6iq1/56yLWW8S86kyZNEhGRrbfeOvb6bbfdJoceeqiIiFxxxRWSn58vY8eOlcbGRhkzZoxcf/31mV4VQgghhBBCyC+UjH/R8XzLKi0tleuuu06uu+66TC+eEEIIIYQQQrKbupZt2trapK2tzTXcFZoMkiSBzRq+9TRV8sw/iZZiEaqrJZm/pVF4NI0kuoqHbM8/CUsaQg5NOrHeaw3je5rOWiTR1TJ1rmcqNW5Z4rkGQjWzJPcaj3aVKS3NYlkei9C0MY++4Vn/0H0Yut+sZ57VuBNJoqWE4nkmha6z5/7jOe6hjagtBczT3NL7uSRUR7a2IVSvRD3fal6ZRIXyqGW4TzG4ypMeiISmW1rr7PkcmkSzzlQSZWgjd2t9rPkjoQl+oY1ol0TWG4YSQgghhBBCyLKGX3QIIYQQQgghOUeXVtfaCU2XsYZCrXl6Unk8ak+SJn7W9ElUq0xpINb6WPvEUnKynfgVimfI1jPEm6lt8SgYS/q3UB3CStmxCN1+T4pRqCqDhCqnFp5tD00SCp1/aNpNEp3Xsw4eFdhaVmgzVktX8TSCDNWRQ7WU0GaUSRLMsrG9oYmWVjqXRTY0n1D9LPQYIdYzLFN6rZUIZz0Ll6QsefZLqILsuf+GNlS21i00uctKfkuS0pop/TT0M0ISxTMb9/Ekip0n8TDbn0k7svw/TRJCCCGEEEJIhuEXHUIIIYQQQkjO0aXVtby8PPewXahWsDTr0hmhOkOSod/QZJNQ/c+z3NBkk0ylqyU5jj8HQof/O5JEkVzWQ8rteFSFbBxXj4LiWW5oQkyS/ZmkOVsSQpq5iSRL5fEoFZ7EIEsjtJQKa1nZvtckaRjoUYeSrKfVjNFzvEKbFFuEKpqhTRE9OjWC+ySJsovnYVFRUdr34j5ckr5sacee53ASFTJUc7LS0kI1KmsbcT8mwbPcUB08iWYW+ozxJApbeI5v6HVrzR+xrsMkqa8iHNEhhBBCCCGE5CD8okMIIYQQQgjJObq0utZOkmSXUKzh0uWlvSXZdk/DsND19CTaedbTGtL2DMGG7s8kCSMWoYlB1rp55tnx73j8Jpx8clRfecUVnS4jyfZn+xrwNOkLPSc86lqoapWpRnCedK8k254kOS3JskITtzxg00KPDhuawGatP6Y9IZ50OI9+ZhGqk1g6XxJ9y8LSTJKoNBahzzDrvdbrlkLmOTew9uhUSRL5vO9JoiR5zldLs0vy+cUzz0wlXXqaV1pNapM8k0JT5pIkoXnWx3MvSKJNez4bdqYae+bRDkd0CCGEEEIIITkHv+gQQgghhBBCco4ura6lUilJpVLBw36IJ2EsUyQZbrReTzIkHLpuHvXDk2ZkLTdTyVvW8Pby0rVC1TWPUnTKH/9ovr+2Qus3N9T692efFNUVtenfe8Xll3e6TsuyuRmSRAkLnT5UPfA0K7QIHcb3pDx5zvskjf4QS3sJVQFDse7doZpiaEoh6mrWeRK6bp4ksSSaX5L18eDZD9b0HkXTo5gilmITqrpZ2hRivW4pThaeRLElpa5ZKlfofdNqVuq5TjLV4NlaB1RUcRsthdSzLM801r61SJLkGDp96PMp9L2hjVM9xyJJUm/7e0OeIxzRIYQQQgghhOQc/KJDCCGEEEIIyTlyQl3zDNElSQCxpgnV3rLdJDBJ8pNnONYaTk5CksZjnnl6yIYSlQ1Nbkm62j931npCevtMWuBqv0zD2GSPKVqfNGFCVFsaWzZIorQtL7KR9uZJlkuimXnwzNOjV4UmJ4U2XvQkmHmm96hNIQk/HeePeO6bnvdaKWqeZ8OS9KdMk20dHPGch57rDvFoO5bKaJ0z1nlopdVZ52HH6a3kMU+CaZLGjlbz1CS6IWIlKi4vkiik2VbpQwn9zOtJ3vMkSHruxZm8Ny3/s4YQQgghhBBCMgy/6BBCCCGEEEJyjpxQ15DQBB3EGqb2KFtWSkqo0uZJBgptVOoZfg8dwsxUs8TQ9A0kic4TmiTimSaJ0mZhzfOWI+J/P/8MrVFd2+gNrf+7qdYnXKX17L5aH3lz2Hp4CG3OaLEsh/Q9y/Wco9go0JPglKQhm2fYP0maTmjym6XiWPP01J4Gl575W/sKjxcqOR4896BQ9cajAnq2HfWqUKXIQ5JUxiQ6FR5H6xmcpCmltdzi4uJOpwlN1fIkpVnb6F1e6PSWoheqn4bqmLid1rnuadzpIVOqu+d13Iee+2M2PmuEnpcWoZ9DPdd5EsVxSXBEhxBCCCGEEJJz8IsOIYQQQgghJOfo0upaOrKtt3iGAz0Jb4hHVwlNo8iGhrAsE56SNNbMhprhIVNDwtb0H6+hr2NqmojIGedrfcQtWk9bQevx12qNDUMv16A12fS/S7+uFpna70mGx5FMJbskSdDy4FG2LDzpYdlINkyit4aqDaFJkaGqq6XheRriZSqh0rNuoduSRFlM0mjRk9TnOU88z1rPM9jaD/vvv19UP/jgQ2nX33MOhKqY1nsR77kUeoyt4xSqonqam1rHxtIHscb9HqpOWSTRqa35hKr0nmdVpu4jSVJ7Q1OHk3zesebf/nqI2s0RHUIIIYQQQkjOwS86hBBCCCGEkJwj59Q1iyRaUZImT0nS3jzDn57hu9Ch09CGexae9U+iriVpBJcNPOdP6HZNOFkdtTc31GkKOlgEa36Ufl7nnaX1R2tqvcvj6aev6671iSedFNVXXXmltboRnu1MkiKTqWSX0Hla04feU5IoQEhoilQ2lFMrkSzJfcFzjwtV1zyaoqVIZErbDT0WSTQQz/kWmuznaUjqWR/ruOO55DnnrfNhr732jOrJkx9OO/3ee49Nv6Lo8m74pk7/+1/r67UVad/62GN6M01yziRNMsXpcJ96NDtr2ZY25mlCas3fk3CHr2MSoqWuhWLpeaFpckgSBc6j9lkkWTePTmrh0XM913+oWhqyjtH6uackhBBCCCGEkC4Cv+gQQgghhBBCco6cUNdCh/c8Q/qh88+UtmTN09NY09I0Qoctk5ApRcijSPzhhBOi+uqrrur0vbgOqGVdftllQetmzTMbqSu4bjvfpBpbawdr5721tf7Va1r/31+1PvFKrf8CDUZb4S7w4N5aP330eVFdubDzofXQZo6I59xNMn8LTyJZaEO8JM3QPOtpzT90H4biOdYerc6jyVjnWJLjHqrM4ese/QdBdShTik0SkjR19DxvkujCnvN2l112Tv9mQznb69Dt9HVDOZOd/6k1Rk8ihaBongzPiSl7ROWuu+4S1Y8/DvMEMtWU0vsej9aJWOeZlbpm6WeelEOrXlIz1M7m70khzEaCrKVv4fXvuW+GXjOh998kSaPWuln3RM99JFSNS/I5WoQjOoQQQgghhJAchF90CCGEEEIIITlHTqhroSxtysOS3huaNuSZJlQlSNJgMNuEDj2iluYhdHoEk80sQvW2JClHuD6XXXppVK/6uU5z0hXx91z8J60bS7Xe5FWtN39Z67c20HqVL7S+62CtF1ZOjOrRX42O6s3e2yyqB84emGYLfn5Y5x8qHvi6pzmeB4+OleRcQTz3BSQb90GPouaZPnQai9AUL+vc8KyPZ/+HPieyoWgmeW9og87QZx7OZ489dk//hiTKWZ85WmOXZZzPGxtpjR2Ur4JnTN/ZWt98ZPp1CCRUQ+1IphpTepLQPPNMkrgVei8LVbOSpLF67imhPwvIRiptpvD8pCNTerSnsenSLGf5fwImhBBCCCGEkAzDLzqEEEIIIYSQnCMn1DVrGM9K8Qgd2rSGJEOH9DzD/tb8Q9OerGkQz3DvskyKG3/88UHLWpagTnbF5Zd3Or11rD2aHHLyKaekff2om+J/HzRd6wmwetcfpzUmtV0Du3qPKVrP7K/1cff9JqpfWuulqH53lXejetiMYVG9zTvbRPWKM1aM6uKm4qgOVT9DFcxQbea4ceOi+vrrrks7jXV9IlZim+e68iinSZoWW4SqJaGJPtb0odtl3but5eLroelTSBIdxpMa5cGTCppEm/ZcX5bGaSVmWVjHCBW1hx+ekv7NR9yidahyNulYWGnYV2dpqqT8Y3+te87X+soTtcb0NrzJ/nfT9OsMWCl8oc/7Jd1brPeHNqD0pJ9Z17mVxoavJ1G5EM+90pO65kmE83zOCr0GPCRJcs0UmWqEarG0+nKIfsgRHUIIIYQQQkjOwS86hBBCCCGEkJwjJ9Q1zxBjkiSY0Dp0ntluarU0w+CdvRcJ1d6SpCh1RUJ1NQs0Jz5fNf5vW76oNSaqfTZK61GfaY199pD7/3y1zvM9HRre6CPVQr4YojFtL6z3QlTfvvPtUV21oCqqt397+6he7ZvVorpHU4/0K2GAeoKliiVRIVFjs7jmat0/1v0FNZUkukRoMlA2GgBbZPve5LknJlF+PZqPp7F06HuTqByexoN4XTQ3N6edPslyLazt2m23XdO/wWj0uech2+rra3ysNSannQ/djj3K2YAZWmNc5UF/1xpVtNd+pTU6wh+spXUb/B9x97qoxMamTzzxZFSHPl8903ecJlPHz6NXWiltlq5mnYs4jbUOln6aRANDPPqmpzF7Ngj9DJup69ZDNtJ8k6ThLQmO6BBCCCGEEEJyDn7RIYQQQgghhOQcXVpdS6VS0Z92MtW4KHSYMBsNqEKn8RC6TzxNwpKoa8f/4Q9B6/NL494DtD7xSq1bO4zmgz0R62uHiWpJKGkuierR32jz0NWmqor2U5+fovqldTWlbfJWk3U+m+h8Nvl0k6je8NMNo7p3be+06+BRP8eNH7+ErUgOnq/XXnNNVFv6RpKkuFD1wJNIhngamHqWi2SqWZz1Ou7P4mJN80NdMFPrE9r009LnMtXo05oPqj1W8lOmlDnPe3fffbf0E4U2+rzhGK3zYbvW+kDrE67S+suRWr+q9xb53Z3p57+F3qNkIWi0r2+sdQt8RFrvHa0LYH1qKqPysccej+q8PH2vJ2nQk+K6JDyprhZW42RrPawUNUtds9LYcJsLC3V/eZr1JiEbGpiH0KarFqG6c+jPCDKVXOlhWfx8gSM6hBBCCCGEkJyDX3QIIYQQQgghOUeXVtfa8Qzpe4YhPQkXlqKCeJQHz1Bx6HaF4hku9WxLphoYdhVOmqDaxZVXaIpPku3FRLWzz9X6WjCxes3TGoOERER+GKL10TdqPbuv1kfe3Pl6oJp19VVXpZ0Gt7MAHLohs3Qlfvv0b3UdqmZH9etrvh7Vr6z+SlS/sJamt63+7epRvfX7W0f1oHmDdLnSua6TbTypbrgPQ9O0lqVuhFgNA1Et8TQhtF4P1WSsdQttQuhJb8JpsMb94NHDrG0MbSroOTcy1ajQOqaehFAzXc3T6PMTvd5l7ENan3em1sWa2iVD4Ua2oFzrYd9pvc3zWpct0npRmdaoq72ymdbnnqX1ds9qvcFbWl90mtYQgVlQ8I2kA88fq3lo0uMY2pw4tJkm4vlMFKrAhjbE9eik1mc0z88dQlMyreV6lGKP4mzd+0JT8qzX8Z6F93rrfE2i2y1rOKJDCCGEEEIIyTn4RYcQQgghhBCSc3Rpda09cS10iDRJYlCoHuJRv0Kb4yUhVI0hi4O6GoL7FvU2i39qb7lYX7rpamhJj4VaX/JHrTd5NT6vDzUITQ67TetTJ2rdb5bWuz6mdT6cWpau5sFK0+lX00+X+4oqLtu+rc0BPxipSUovrq3dT6/ZS5PNBs8ZrO99T9876kfoivoz4w8naAQenjeh17NHqfCkqHk0B2saS60J1YKt15PodhbZSKvMxn0ziQrsSYGz8OhqZoqahdXo89bDtR6oCY1yyqVa954LKweqYV6T1sVQY+NR1NLKF2hd303rC/6s9U8DtUatTmB/7v6I1n+8ROubjpJ0JEm3QjzNZ5e0DNSNrGQ3nFdRUVHaeVrnpdVA03M/Qiyd1NMMGAm9L3iS75KkrlnzCW0g7dHqPM+STDUGTfLc8kzjuR+11yHrwhEdQgghhBBCSM7BLzqEEEIIIYSQnCMn1LWOr7XjGSb0pNeEDrtaaT2e5A5rCNmTGGThSR4J1fA8y7Km7+pNQq2hXM+xuOUIrc8/Q+uh32s9F/pl/vYerU+/UOue8+Pz/W6Y1nXd0y97L+3bKTs9oTVaGEecrqrVLReGaWyeawzrHo2aerTFp1tE9UZfbhTV362gSUr/WvtfUX3X9ndF9dBvNVWpAE6t/e7Tuv9M1yYsMzzaAmIN74fu80wpvHiv9KhTlmrhUVFCG0KHqnSee7RnemsdEOs+HpocaO3DUDUmY7raKl9ofewkrVeEFDKMk0RfFrsfYxIa3tRwPtisE9+LSlse7H9MXfvTxVrfv6/WG72h9Z4Pa4262mu/knQ8+eRTaV9HkiROLU2qaWgamJWsZZ3re+yxe1Q/9NDktNPgPEObKHsahobqWNY1Zl0/ofdlT2pcaJNmz33Eo3tZhC4XXw9NvfQ8Dzy0Lyvkmsr6iM5FF10keXl5cuKJJ0avNTQ0yLhx46R3797So0cPGTt2rMyc+TP7JEIIIYQQQgjpsmT1i86bb74pN954o6y11lqx10866SR57LHH5IEHHpAXXnhBpk+fLnvttVc2V4UQQgghhBDyCyJr6trChQvlwAMPlJtvvlnOP18TTWpqauTWW2+Ve+65R7bd9n/JSbfddpusttpq8tprr8mvfpV+eHhZENq409IEPDpGqEKSJDUjScOt0HX2qCXXXH11VHdFjc061piwhXy8htaXnaw1Bv28s57W762j9RBQ2o67Xuu/QC89EZHGElg/2O2pvPSvY+Ib9tkb/aHWhd3ujuoVf1wxqgfO1rSiygWVUV3aWBrVJa26Qt7UoHbK2jQ9abUfV4vqVb5bJaqn9ZoW1XMXqNOHOuCFp2t9yB1aH36r1iO/7HR1copQHSPbhCpVVoO7kLQekfh1G9qAOUnCE64nNuXDuqkJFCwgiXYYnCDVZ47Wq36uNfqvWA/5QWvU0qybEXZI/kKva2mBjySow2H8JKaoYcPQFtCd0O39fii8Xq31g3trXV2ldUmj1rj+NXqvQ10ttLGv5ziGKu9LgzWvnXfeKf0bMOFuwzejcuxh2+vreFyB22/XG3CmEhgz9ZkoVC1Lst9/Duln2Uixs94b2og2W2RtRGfcuHGy8847y/bbbx97/e2335bm5ubY66NGjZKhQ4fKq6++2nE2IiLS2NgotbW1sT+EEEIIIYQQYpGVEZ1//OMf8s4778ibb7652L/NmDFDiouLpaqqKvZ6//79ZcaMGWnnd+GFF8q5556b9t8IIYQQQgghpCMZ/6Lzww8/yAknnCDPPPOMlJaWdv4GB6effrpMgAaMtbW1MmTIkIzMG/EMK1pDfZ4kHlQkLO0CsTSNUEKH1q118KSKLOshyWXFtddo48r8wMQQNC0wMGjNj7QeAN/xbztM6/PO1hp77DUVx5eBpgbaHDjfwT9q/cnqWqNtgI1HU/nvRPU7I7XOa4NGc62aEthzQc+oXmHuClG94nTV3obM0eu214JeUV3SoqpbWQoa/wF4/q0wT+f/1/E6zVnnaX33gVpfN05rTJnb/t9aT7hc6/V0c2NhTkk48aSTovqKyy9fwpTLBs81b5HtZsOepoqetCQkNH0udButBE9cH7yP4zRWbekqnuRHrGuL1YL4qUxvJO/3fj+q75j1rW7MF4dqjcqSR0vDJLQ2eGbgzQ8Vte51WuONDS880Mbk2e20xpvoG5rWKP/dVOsz/5J+/VG3w8am467T+qLTtP581ahMpTQFzjqmSfCko3nxPJN3223X9P+w8z+1vtxogl0I64T7ccoeUXnooYdE9d//rkp0phqke5LcLDzL8qQxevCopZ57WRKNLTRlLlPN6pEkz4+l+YyZcXXt7bffllmzZsl6660nhYWFUlhYKC+88IJcffXVUlhYKP3795empiaprq6OvW/mzJkyYMCAtPMsKSmRioqK2B9CCCGEEEIIscj4iM52220nH374Yey1ww47TEaNGiV/+tOfZMiQIVJUVCTPPvusjB07VkREPv/8c/n+++9lk002yfTqEEIIIYQQQn6BZPyLTnl5uay55pqx17p37y69e/eOXj/88MNlwoQJ0qtXL6moqJDjjz9eNtlkk+DEtfaGoUkaLyEe/cwiNFnKSsGwNIfQ+VgN/TLVUM5aB88wfra1l0yBuloSPQ/ND7Q63ltb62NuhOWCinUC9Oz8cbC9DAwNQhOkGfrPvrmh1nnGJhQ1a11Zo0rCgipt5NdcqBM1FaleMqOPenI/9VY95q1V3oLl6n4sblVNpXKhqilD52hK0rDZ2jRw8BzdAb3na1dVVANX0DA2OXWi1kfcojUmzl15otZjntZ69U+0RqXt189oXVUtQVx+mWod1hWQpGGd9Xpog9skCm/ofQfXx9K9PE1RkxDazBDXMzSxLVRtQlUpVaTzry6ujurvKjQ28aNeqnK900/9y5ll2qeuoaAhqtvyQEtRM8vW0lBFmwEGxusba/0q/IclOrIY73jypVpjQ09Me/tJ0x1lpa+13uZ5rf+xv9aXnqL1tyO0XusDrTFyET1XvDHjBQ/6lUVoc0UPmXx2eu4FMfBmidGgqK6hJrjpf7W+CpJH+87W+uYjo9JqqB6a/Bp6L0uimXmSE0ObGSPWcfEoc7g/m5ubO53e2m/Wcj149rOnyXHI5/SQ45m1eOklccUVV0h+fr6MHTtWGhsbZcyYMXL99dd3/kZCCCGEEEIIcbBMvuj85z//if29tLRUrrvuOrnuuuvSv4EQQgghhBBCErBcRnQyRVtbm7S1tbmUM09zz1AtIsmwaDaSfpKsT6bwKHnjjz9+ma5TCNdde21Ue/Qiz7ZgWhr22LsYAn2g16ZsAu2kfv83rTEtrGPqGipb+96v9VM7aI3pathgFMHXZ/eFhoatqtBgY1BU0VohVamlQKdvgVSe1jydpqFIFZqGXlrP6KUK3BurvJF2WYUtej5duoeuM6bMYTPQNT7WekUNTJJzztF6+iCt799XazQ5es/VGo/NAfdovRLM38LSB0IVUo/WZWkOnjSz0MZ9Ht3WShj7OSQ2enSP0Pk056lOUl9YH9W1heq0Ti+fHtWfVKg3+XlPbdb5Y7nGJi4oXhDVeE3lwV0L6zYBLQW0NLymZBGkHb68udZ3aGKWvAZ6Obq0HW9I7aDfiR7tu9AhGVU05KuVtX5+G63RMcVmo6hK4Y12B23uKX+8RGvcls9GaW00vfznP5+Av4UpP9Z1at0HPCpTR6x/Gzt2L/M9EXiDxOS0iadq/fCeWmN6HSptuO9QAYQUPKthZahiaxGqsYU2YbXSFa17n2f+1jH23HdQV7OWmwTPOR363kw0JA2ZR9YahhJCCCGEEELI8oJfdAghhBBCCCE5R5dW19qxhv1wKNGjeFnKhqVjIVbCimcdLJ0kNCnOGuZMMnwYqvDhPDGRZGkanS0rMF1NHPqiJ5kJk71wBB9pAF3t4j9pXa5WSiwM6J7fav3ilvF5XX+c1h9B6OFx8DO4p0Fje2InrftrIFMssW3aYEiUytf90lCsmhnqMfmQyNSjQVPa+lX3i+pBc9UP69ascWk4z8ovVU15ZXttDFrdvTqqm/N0RdGWwL6C0N9PHt9FawyUQgMDE+dKGrUu1VWTedrjVM47K32NjVk3fFPrOcO1+V7FQl3pEvAFe9Tpfuu+qDusm2o/JU06fWGrXmMFzXq8SvJ0mqY2TcYrbEufEhSqz3lUHA8ehS8JoYowLrchD9RKOD9rS1Q5wzSz6d1UP/u6XFPCppZPjepZZbOielGhpo215KW/P+an9Joqa1G1rM+iPrpuhbpuC4r05oGJakVtev6Mmqua1gfjz9CFoR42R+dv0k01PBkNLSX2fFjrfR7QGtWyL0dqffa5WqNr+/VK6Ze7y+NaozZ1HAQaYXNSR4ra44/rtWkr7Ol1NU/aqecaCW1cuST22gs0M4z9RPd2+FSt8ZjhDex4eDb+6WKtn9xRa9zvH6ylNSb0wYNlv/3UC37ggQd1csfnOCRU4bU+33mOn0VoI1HP8Qs9D6zPmJ7PoUiS5LTQpN7Q50S6dQtRGjmiQwghhBBCCMk5+EWHEEIIIYQQknN0aXWtvVkoDmGhLmUleiCh6tqS1qWz+XiGA611s8h2OpxnPh41DqdHVeznkMAW2vTP2oe3HKH1+WCEoDmxkYaIYRCNXHGS1nvraH7MFkADAUOFRERW+SL98v6ztdYYsHTg3VpjqBI2Hv3r9X+I6q+GfBXVnw/RJKhpfTTuDVPU6kpVVfi+3/dR/VM5pPsAlTVarwL62bhLdf7Y9w9T5ub31PrjNbR+Yav0r2Mfwjq1w2KhUBgihaob6m14PFCBw/S2B/aBBqnNr0R1SbOqZZh8hbpRSuD6MRTBAnAbi5t1pbs1qhZY2qyOZI96VeMwPa+iTlW68vryqC5rVF2qW123tK8XNkM6XyOodLBu+S1wT2wG7SLVudqLWAoQvl6fr0oVKmc1xXqSzSjTeL5pPfRk+qZSI/NmdlMtbX7JfJ0nnOctAg094UTBJDQEFbIBddpwc9W56lmilvZp70/T1guLF0Z1QZvuw8ELNQltl6/V19xwlnYL7rFQz4GWsbr++z9g6GrY6BO1sd/dqTVGHOIFiaoYurefrqY1dvwFHn30sajebbdd9R/QQ0WHd9RnWjtS1B57TLcFb/uhDWRx+tD3Wp8zWvL1uNQX6fmM5+FPPSDOU0SmVk7Vv0y5Q2tstorqGqqH6CzjzWwYzPOOQ7W+CCJDUVFbT5vUxvRBcIr/8Y/7ohr7onqew6GfpywtLUmypGea0GRJT3NSS+HzJPcl0dWsaazt8miHoepaUjiiQwghhBBCCMk5+EWHEEIIIYQQknN0aXWtoKAg+tOONVznSUvzJKN4lArPcKn1Xs86h5Jtdc0zhDxu/PilXu6yxLNdxxx7bFSjEnXZyVqfcb7W2HAStSk0QjDZ61rYVaiooR2C1oFIPPgG34MhRqjNoeWBYH+/oXOHpq23fW/bqF5YpgrNzCpVfT4bqguoa9CGfdjfD/Uw7FWI07y/dvrpcftxP67/ttao52GTUFTOMKXt9Y21xl6C766rNfZIrO6pt09UzhDU3prBe2su1LoYNmzk95pGNeL7EVFdXqc6GapTzcU6n4XleiwW9tB6UYmme82pnBPVTUWaxtYIMXPNBTrPNtBYUM0Cqy6WDFbQovdiTITDZLlui1RVKm7Ube/eoB5hYUth2rqpWNf5X4P+FdXzi1XpmV+qdX2BnijYxBbXv7hN16G0VXU+1M+aCnS5raKvl7Tqdg1cpBf36Nmj09alovP/b7//RvXzQ7RpJip2qCz2WqSRf9t+p9fgFt9voeuwUNfBupe1tOl+qC2CiwGd2QPu1XozVS5j/it6sXjDe3t9rTGmEJg8WVO+7OeiLuuRRx5NOw1uF+pt2NzTSkTF/+e1NEhLNcJ1tho2NubrNYXJeHNK9Br8odsPUY3aJGpoqKhhUl+s2avEUyxlKqSfYQRoT702YhoiNgZFve0QUOCwEzUeV6zHQcwn6m0YgSnvRZV1bDLV0NOTsIt4mmPGzyFJ+7qn+atFaJpcks+P2UiWs96bKdq3K+TzMUd0CCGEEEIIITkHv+gQQgghhBBCco68VDbGlrJMbW2tVFZWynnnnSelpaWxpDVLY/MMf3o0tkzpZNZ6WuqdR4HzDL+HJqchnoQ65Lhx4zqd5/ICk988KXnWtrypYUZy2G1aYwLbr17T+oSrtH50N61RxZo6XOsyNRViqWAYpCMSNw+2/3faVU3E1VfpiocOjx85QV08VPfQcMFehRikhAlmCBoYuI9QgcMEOQwSGghhRdjncNvntF77fa0x4e1v518Y1ahI/dBPFZSpA6dG9bR++ua5laqEYBqYpYehmoIaWFVtVVQP/3G41jO0HjJziE6/QKcvTIGtDPukrVD/0lioyg3qXvUlepJWl1RH9cLuqsnNq5gX1bXgCM6rhNfL9fVFpXrwUKUzlTkgH/6fDvcVqnRYgwUW09Iw3Q7n2b1ZVbrBdeosDq8dHtVDF6rS2aNZ08y+6a4a0iuDVP2a2V31TtQdUTvaYMYGUb3TN9rZd9i8YbqeLel1GLweG4v0OP5YpU0g/zPkP1H99kB1Pecsgv2MqWgYy4iNIqdpM99QHnzwoajG5zfiUWM8yarYrNp6RuI64HJxHy4sAk23RI/j9+WaKvl1ld6Yv++hr88pU12tsUDniQmK5U2qp8YS+eap9jWsVs+B/gv6C3L8fgfpXzDJDp3nB/fW+hpIPH0YGozizXLdd7W+9XCt0XGeCevxh6u1Npqz3nff/WlfR6wENo/S5jmfcJpY2p3R2NyzXJwGzzPrs5ulwHk+x1lpZjh/a5rQnzJY62CtvwUuC9fNSqjr7PNpfX29HH744VJTUyMVFemTFdvhiA4hhBBCCCEk5+AXHUIIIYQQQkjO0aVT14qKiqSoqChRkhhizSdTupqFR5NLoqt5Gkd51s16/edsP1537bVRnY31xAQv6I8o70FaGKprp1yq9eqfaH3Bn7VG/QprNAreWye+HjtosJls8qrW+zygNWpaw6dqjSE7uD3XXK0aQspoSuYBgrJiCWlYY1Ic9DOMqWvYYPUJNXpi+wJ7FeJyUT/DhLsPNRBL/r291hD0FdPkSoru0fX/STWSET9qQtqq36lqUtQAviGcH7WVuqN/6qsu3SdD9KT4cogqJ7U9dPrZvWZH9ZyeqsS8NfqtqEYlBpuTVi7UmLkBs1WPGTRXdzSmwC0qUrUMtbS5VXrSVFdURzWmoqFyhslpmK7Wf45qL72re0d1BTR5xKaiuB9qV9L6hx6qDtYVQfNDoFuT6jxVTVVRXdoCSWv5rWnrucW6vT8OVA0Mdabm/PTpWwg2DK1s1GNR0aDbO7tMj+/DIzWdrKxZbwbli1RzwmM9vXx6VE/tOVXXs1TXs7JBl7vpj3pRbTxdYwf/vM9RutJ4QbYt/bMQk9YwUc2jaFvPMwt8LtYV6PlQU6KJdrO6z4rqr3ppQ+Rvq76N6uk9dH9iGh429Cxu1eulqrEqqocsVH108582j+qhNao79l6g5zyqa3isrfstbpeIxG9UqJzt/E+tB+n2yP/9Vesz/6L1Y9Cc9ZgbtN4fkvhuBTcbY0Wf0zRABHW1TDWyxPlYylkSLEU7VNlCQtP9QpvVe2pr/4cqgp5jl2SdMwlHdAghhBBCCCE5B7/oEEIIIYQQQnKOLq2u5efnL3EYO3RILFPThA7pYQKFZ9gvyfCntb+s5eKQsKdZaqY0wlBumDQpqmNNuRwNwKxhWk9q3Kqfa33SFVpf/CetG9WMiWll9x6gNQYY9VOjQp4eo/U80LKegvAjkXiADja+xOab2F+uEEb6UV1Dna5hsMa3oebUr7ZfVFcuUg0GdYskDWKh16Ws8kX6+tDbtcZ0NexLh6obNk79bJTWGE6E5gdqdZVqrMh7m2jy2Ktr6sH8z7r/iWrUtPpU94nqoTNVWRk5XRuDYlraap9r2lURxOzN6D0jqt9eQ5Oy3lpDdbX6Ul03bDTZWKwpTzifn/qoMveuqOrSsRFhO7hd5fWq2QyeqYlkQ6arrjNshqp93ReprtZSpiffTz11Hb4Yogf48xX1wqrrpopOfqvev1Zo1otmi5+0aeZac7VZ4rCFug6oipWm9KJEDemTcr0Anhn6TFS/3v91XZ9CXR/cz/3q9brY+Ce9CIdXD5d01JTqiTWvWLXAumKdP6Z1/VCuet7cMr1osZkpUtimxwv1qvoiPU9eGaKJcK+voNs49KsboxrT5FDze+dJ9XN33ULXs6qhKqpRk3sD5lPRrKpeWaveN/AeUpzSdW7K121EXXBOD13u95WacvZNhabeTS9TXWtB8YKoxtS7shZdbp9Fes2uMUc7Qq9Ys2JUD6vT86p3g+pn3RqhGS7sc6RJdFtQP5vTTbdlendQEKF5qNVIVEREXoGbeqFRl+v2SwEoWOhddwclDlXFtT/QGpMQseuyQRJFzQN+hrL0f0uR9KTSerCagVqvexLeLH3Os55Wgpm1DphE50k/s3Q+z2crXG5oI9SlgSM6hBBCCCGEkJyDX3QIIYQQQgghOUeXbhh68cUXS2lpaedvWAqSpGCEJoaEqmuhqR9Wo6lsLCuJspQpsBmoxfjjj+90miQ8vovWEy7XGkf8f1TjJ2YL7KnhRDLmaa0nHav17L7x5f2gxlDMQtjxSa0Pv1VrbNz5sdoZ8vpGWn+0niocqD+h2oQJWhu9pCrFOu9J2hrVOFT0sGFqcXoTJxEQJBYzLT5Qyymmt72ymdbfqLES0/+K8/UADpyjO7S4RRc2v4f6cHOqVE1ZWKb6DaaToa5W0JL+WsUmnpgMhvPBabAubtZ1W2Guql8lDZrMVttN08xqylWvWlSiCWxmk1NQufLaoDZ0uKIW3V5sbLrSDytF9crfrRzV/WdoSttGw/RkLUnp+uO+as7TJLTZpZpm9p/B/4nqf4OiidNgI1FsHrrlNO1o+5tvfxPVmKaFWM0DMR3uq56a+vXCii9E9ad9P9VtgVS3Fav1pNzsBz1ZV5yvrxfl6b5FHW5RoR5HbPxaX6gX4bxSVelQsUPtrbZYz5OGwoa0NTbHREUQtTFs3oqvWzWeb9gQFhPtejSpJodq2eBavWZRP+u/SM+rnvXqCKO2V5ZSvQ2T7hbl6/7EZLaZ3bSpKKp031ZCqhsoag1Fut9i91g491CP7KhEPnz2fvqXjVVDlLHanDXW8HUMRHU+vJfWv1ZlM6a6YWIbxltiKt/Jl2ltNAx96KHJaV8P1ZOSJIN5mslbn+MsFQ2vbZzGaliLtfW5zFN7SKKHWZ9VLRXNUuysbfcksKVrfsqGoYQQQgghhJBfNPyiQwghhBBCCMk5unTqWqbxDA16lDZPakammpAmGe71gEOGODT7c1DUkOuvuy6qrT3rSVGzwNF56GUYG81Hdnlc6y1f1BqbW154utYfrak1qlUrq9ESU73e3DC+PFwntITuA5sBTYI+alHJqM+0zq/Uhm87vKFNJMsaVdtAxWLQe3dF9fvQJPUf+2t949GSFkwzG6E2h6z9vtbYbBX3xQAND4s1ObW0N3y9r9pJst2zWm/xktYz1WSJJblddYE6iZ8OUa3okxHq5KG6AyZXTEdB5QY1mOZC1ZOaCnWlURXD+eBxGThX9bnhPw6P6p4LVTP5eMWPo/qrobpDMVFt1a91g0d/rh1VZ/TXnf7dAI2lW9hdNbxWTHKCbbfUI5x+ZrGqPvMrVfn7apiu5+Dpqh7Vi2pUfevV5fyxXBt6/mvwv/T1Hvo66lKoPK0za52o3vVrbZw4ap5G9WEDVouGfD0HfizT5b46VJP6XhuiJ3dtiZ7EAxZowuHOn+8c1RtO14t+cKPuB8+zx7qPe55njUWqn2Hi2YxyPR++7wGJZz1V0/qmUmvcRtTYClN67pU2q4qO2lh5o6b8YZocqpvNBXrtLCpQnWxBkepX7/fTm8ub+W9GNV5fpjIHKqOl3iF4jVtNRYcuUN1xhWpVSQfX6/Ht2aDXLza9Pf2Pv44vcLCeZ7Emof/UcygW4/mVKqGxxqAYP4n1s9tpjQ1GN/2v1ledoDXeaG8+MiotdSqU0HRbj+qGeF73KFieZqaZUtQ887e2y5NWZ2l71j7xTBPalL79vSE/q+CIDiGEEEIIISTn4BcdQgghhBBCSM7R5dW1jkN7nhQJa0jMSuKwhuI8DZw8DZ9wCM6axrNcC2toMHQ48+emqyGhjVA9PANmwGkXab1IbSFZ8yOtcdR+IPRyQ7UKNTZs5olNPtEQOFjNMPnLmVqv/GV8Xa+YoDUmu/1GzR35WoOs5NsRWj+/LTRby3te0oF6VVW1nq/DNZgtlq6G5gQaFajY4fajuoemxR2HaI296zAMaAWYP/a0Gz5V6xKwyWqqtJ46XGvcP99DgBZqi3WVmohV1AqJYQt1pj0W6RsKUrpv60tUtZrfXZUQbPiIKtqg2aoODpmjsXrd6zSFaX6Fzgd1stfX0tSlBth4PI7YfHNRsao+b66lSg9S2qRa0cjvtOHpOl+uE9XDZmuSVdEi3T/5JbqsH3pq48vv+us6fzdIa2xsOrdSm2PO6qX+5tuijVNRh0Nimh80hVxv9npR/Zupmpy20nw9Cbo1qyYUUy1AYZpRouv51kBt3vricL3QZ/ZQJQ/Vow2nqYq26VTtbjt4gWpLJa2qyRUXq/7k0XNQD6vP13Ovulu1rn83Xf+pFVOj+psqaLgJyWCYwGbpfz0bVbVaZb5e5JgIN2SBns/9FmmSWPcmPbexOakFJsVVl1VH9U/d9Ab8da+vta7UekYP3faaEt0uPL54vZS1QTNTSC/E9USVDmtMukOFb16ZptuhVmepnkj+m3+O/b0NrudYM9AV9VjKYbdpjVGdb22gNUZ94g0bHxoLVCWUyyeknx7jRqF7s+eZHPq5xnr+43XrUbCQvfbaM6oxKa65WRVJ6/Mm6mpWM03P9exJS0Ow6WeoHhaq9nkUtdCUYqSzz3Qhn+04okMIIYQQQgjJOfhFhxBCCCGEEJJzdPmGoWVlZeZ0oeqaNbRpTePRpTwam0e3s9Y/G9NbHHPssZ1PtJy4YdKkqLaaWh11tBH/Bdx1sNZ/vkDrfR7QevSHWt+/r9bfqbUT68s2VAOJTJ7fRut979caE9gKIbyltUP/LEwhewOafvafKWlBw+CiazX+DdUgVKGmDpga1QsKNQWrukrn02KIsBBoJGVqcMSS30aCiocJbEVqCcgMDaOSzzQES6ZpWFFMM3OtDzQqHQj7EJPfNgST66fNTorqXnW9orq8XlWOkpb0qVx4T6ktUn1ldoWmE30x+Iuo/nSYprphs9GmIlXdUKHBGtPbUF2LNVtsM3QP0GbA4oknU0GNqW5bvLdFVK/9tcbw4b7C/VBfqgfgx/6QTramppN9NkRjATEBLJUPDeXaCtLWuJ5WOhY2OcVmr70adJ0rFukFg6l6s7vrsUNNcY1Z2oV38+83j+rV5q2m82xJ3+QO71nY8LSxRLd9QXd1N7/rodep1ZhyVne9rrFRKWpaqPb1XaQpdsNrh0c1NipFxa73Im3KWdmmNy1M82vM0/XHRqILSzTJbVaZrue07tPSbgum6s3qptOjHobHGlPdMLGttFWVM1Qc8XzwNDmNAddLPvw/Mi43tg6gvaH+h01CUZGN1TC9iMjzb4BHvO1zWqNmhq4uRlFipCfegPFmiQ+delUwYzocdsH+2++1/v3ftIYH1OTJ0B0byFQ6rPU5a489dg+av4e7774nqhsb4T4Fyy0qKkpbe5ITPT9BwHlaDUw98/Ekv4WqcR6s7cVtaT/W9fX1csQRR7BhKCGEEEIIIeSXCb/oEEIIIYQQQnKOnFPXPE2PkM6aEnUkG+qahScFI7SxaS6pazfecEPa13EbPbraK5tpjSln10LIHKaXNUAYENo/x12vNQbaYI+2Ukj/ssBwmytP1Bp1rc1eib/nWDX3Yn3aQrn6qquiGhNcGlM6FL/fXzVlB00IDO75z1Zav7+O1j9pT0tpBMPLsKhiYPgQWhe9NZRLVlHzS9bQ3pixxq5oXXyshlFsW2aruSNNajNJd7V+pKBEE7oGzU+fkDZ0jsa3ldeoQpLXoudoQzE0l+yjWs7ngz+P6m9XUJ1kfrkmrWGyEzboxOsfVZnetaoYrfSjrv/KP2jzwKIm1R8w8ez7Qepgfr2CpldVl1enXR9smNinRrWa0ka9gOZVauoUJr+hYocq2uAZqsbsP0O70q4+e/WoRl1qQYEqXrN6qJ7zWS/V4d4coG7id5WqgWFjXFS8EKspJKpcK9ao7rVSje7ziibVLTAVDdPAMAltTjfVF1HTwnUob9JzrP8i7Xo7pEbPSWxG2WuR6nnFKTjRYXMXFOo+rC/S9ZzbTc+N+cV6TqJONr90ftoa09Ka8vVithLGEFQE8dxGrausVT8XlDVrXd6s+wcbklY2qG7Xo1Vf792gx7Fbi944Kht1+uIG3W+onJW06Q0O16cAFLAi0XXOa9ULGLcLwc8le+89Nu00IhK/+T2wj9Z4w/uXpg3K0Tdqvd47Wr+t6YRy+claY5fpQ2/X+sUttd5AUwhljylROflCba4cmriFWJ9xLHV9t912TTd5VrjlllujGnUyBLcRn7W4T/B1q9FvphoDe35aYb3Xet3zOTqU9vfW19fL4YcfTnWNEEIIIYQQ8suEX3QIIYQQQgghOUeXbxiaSqVcqpilgeEQnUd788wzVFELxaOrhTY5RfC9x40btzSrmFEwUc2TQhJqY36jZon00AAggSCe2DSXnqL1l2r8SAU0scQksHdg9B+banaDxC8EQ2+wCenSgNoVJq3NU2NFrrv4D1E9q0rTrn6q0qZ7ZTO0UebfoJ8cpq7hslAtq6rWeouXtMY0OpwG1cDPV9Uaj8Es7TEocyBsaKbaOvKyhl3FEutQP8Nmpmh7YLIepsNh8tujB+tO/K6vKk8fDtc3Nxaq8mc1AbQaFGKS29AZqsBt9Y56gcN/GB7VZU2qxzR21+X+0EcbdH48XDfys2Gqn7w1SjUTTB7rN0939GpTNTFsna/WiepFJapRvbHaG1H99WDV22b2NOL/AFTUetXqvh399eioXnWqnhArdVMNrKBZ35vXphfuolJdty96qtf48uCXoxoTyfos0pNp/W/Wj+oBC/XAT++hHuRnvXUf/lSh18uM7qqfTS/X6V8aDBcAgKlfqKKhLoVa2sCF6oAWpVSNaRM9x+aVqBb40yBdt5fzddsxVcxKGMN5WsljsaQ+uG/itmDCWK9GPb79F4Bit1AVuwF1us8H1uv2xvSzRtXMitugiWebLqswL33iGSpk1rPfAzaH9JAkBXXv34J+1dGDxpscutMY43nJH7XGWFGM53wNulevCi7wfvdpjV73ap+mn+av/6c13shF1bUk+8Kj9nsag2YDPIc8nyURz+dKa1lJEtus897S2PB1vAawoWpokpu1bknhiA4hhBBCCCEk5+AXHUIIIYQQQkjOkROpa1ajz9AhQ0ypQDzaW6aaiiY5HJlS1yyWZeqapatZx9rCs85/vETrq9XikoFqe0gBnBqH3KE1htg8u53WqIn11LAhGaaGk6z7rtbbPK/1ytqPM/ZeTCnDhDARka9AoftEA6jky5Faf6/2U6yxZl2lqiCYXNRtkWozvRdo+tAOD2g3TbQWVlJTKbadlTVao22BepsHTEur03Cj2Ha9u67WL0Dy2wdraY1aIc6nBfrh4ZWBQVBoh+D6o+bYDCE7rUV60EqaoW7SGhsLYtIXqkGodXWv15VeYY5uzODZmqa1wlx9vWeNNvTssQgOPGwvpqt9PkTT3j4ZpprJtL7awDGWSAY7CJstooaH61+xENLGoGNrU6HuUExmQ/2ppUAPQCGY16Upnb45X9WJukL1FLFx5MA6VaH61PdJO/3cMt0nNaV6EjcV6HqismU1ncTXLWXRozVaWMlvmABW1qZaI67PogJV+6ztQiUM08YwTW5EjUZFYoPR/o2qpfVs0vMQU8isxoOxhoFwA8ZnQKuk1+eaW/UcyC/W/dNcoK+3pPRcahRVPXFZDQV6njcLNOGFpMQm0f22sFDdZzxX64v1PG/M12XVFev5Fjtvi9K//tqncMPCbsoicScX/w1vungDKwfXGt1hbBKKNzZ8HbsxoweNN7+9H9Ta0SQ09LMJJoxZ+iCeQ3vuuUen88wU2DzU+jyYJBXY+pxo/RTDwmowivPH/YzgPvesZxI1MR1MXSOEEEIIIYT8ouEXHUIIIYQQQkjO0eVT10Ts4bFsNNMMTcSwpsmGMejR1XB40hqSRJaX2ehZbujxRW45Qmvsp7biN1qjcrXpf7W++Uitd/6n1mVqgcR6qGEDz+e21fqJnbS+83datxqHBfW5xawFSIuDgKWYToZNT1dVO0ne2F8TdI4/6cKoLl+gqU09FkI82XICU+qwxv27/ttaH3GL1pgOh9rfq5toPWUPrd9fW+u5au3FEuGwRlB1y29TTaWhCO4FoIT0XKBKz/AfdeVQOcNzfX4P9Rln9NV0L0w5aypSnQYVsopFOsRftaAqqvGamV2lO7S2R61OAxpVYSs0ssMmofB/Z7iNSBM4f5V1lWmnmVuu2hhuSwyYfY3UpJ8GQD3pqyr1Q7+u0v2G64waJyZ9DVqgzWH7LtLOsth8s0+D6nDYGBQbU5a1qL6F+7+6tFrXraeu25e9v4zqH3vo9bigSBUkTPlrKOy8O3FMiWxRLWrQQt3GVapXieoV6kGJBBWttU3Pgdllev78UKGJf6gmouKFyhyqg6h4YYNRVMJQLcPUuMYCSDuE1Dh8L76O53Ds+WF9JIhNkj4xD2tMe8PXS1pL0k5T2gqpcXCtyezhWi+KN0uXGriW8OY0X49T7D0Ye3nSFVpjTOjl2hw6Fjm5y+NaH67NMWPRm7A+Dz00GVY07DOapXt5GmIuS10NOfDA30b1Aw+owofrHPpZDPEk5lr7MPQzLOL5bGX9pCOJxpYUjugQQgghhBBCcg5+0SGEEEIIIYTkHDmhriFJdKYk4JAhDkN6mo8lWTdcLg6FhqZvWCwvdS1Jo1UraQ0T0i47WeszztcadSfss3bboVq3QLAMamyDtC9gTIeb31e1l+41qpmgfoUJbBiAg2BaGDbJFIknsuG/VYDRg9bCM0ccF9UTTlBdDXU9q6HpzwFMYJut9lDsGD+/jdavbKY1qmsYEoTHb7dHtd7yRa1HaX9IAQtGpmroVEyHe1t7Tsq7G6oaVF+iO/fHvqoh/dBXVR8kpsGAylLapIpKjwZNVKuqr4rqhaWqCaGWNq23pqghmPplYSWq4brhOiONRZA6VaqqEqZdxcLG8vBlI+ENdaAWvRh616t3iA03cRvnl6kKiIpUKh9WApP3IL0tph7B63NKtcvsN5Xqw2Ij0fmlulxM32rJgzQj1AVT6RtfVjaBsoS3etj9TXmqh2HyGNYLivXeVFusyiI2WrUoSME5AOuGKXCoY2HzUJzGUrmwcWq3Zq0HNkPj1Da9mLs36bVW0qbzxCQ6bBhalarSjQFTEvVCXB88x/Jb4dqENDJMBcR1Qz0SpznwgD10wZhqVqHHItZNOtaEU+JRnxaYunbFiVr/pPtRhoDStv8/tEbXGn3eEr2eY3obNC3Ny9P0xr322jOqrQQ2xPr8Ymla+BnwwQcfiuq99x7b6bKygaWNWSm/Hv3Mmt5KeAtNdbP2ueenGJ7Pnpn6fOqFIzqEEEIIIYSQnINfdAghhBBCCCE5R86pa9aQmGd4LIkuZQ1JYp0kacJSyDxNpDKlrl1/3XVRfdy4cUs9T4ubbrwxqguM45hEpUPdCS2ZNT/SGkfeMTSqGFLOimD0Hwwe2fxlrbf+j9arfKFKyApgC/XSULOYnWA10jQCbUQkrmOhpoUa1b0HaD19yJ1RPRnWewiYU1ZDU9xfgyGMzVLuPGRDRSss0IM5eK420/zzBW9FNabPYXob7mtsrvr1SlrP6qc1BhstUENK+s3SuleNpnJ1K9ENRo0NGxG2gGaCqVCYHLWoRKP+5pdDd1kHVioapo31qNeNR8UIG4aiihZLtYIGg7HmmPmOezGmV4EahP81hw0iEVy3aZV6wcU0KlCnULvC9cR9jg1D55Xphftpb+iYa2ApdqgzoY6F2lVVY5WuM6hf5Y3Q5NdStlKqV/Vo6pF2+rJmVbOwgSYmpM3urhfG9xWqNX1fqXV1cbW+F1LUmvIhUQ2aYFrqHTYeXX22dj4eNXdUVPet1xtEz0a98CytxlK6LTwprtgs0Zq/Z1n77LN3+n/AOM8rTtIatdKOD4q//V5rvCliV2e84aGTiw8gvD7R4cWkNVTX3txQa4wMhUalqKsh1uvIww9PiWqrMSji+Uy0LBk7dq+oRpXOUr9Cm4QiVuIZ/pzC+rmDhaXGeZbrSWALpX0dQj5PZ2VEZ9q0aXLQQQdJ7969paysTEaPHi1vvaUfLlKplJx11lkycOBAKSsrk+23316+/PLLJcyREEIIIYQQQvxk/IvO/PnzZbPNNpOioiJ58skn5ZNPPpHLLrtMevbU/3mZOHGiXH311XLDDTfI66+/Lt27d5cxY8ZIQ0Pnuf+EEEIIIYQQ0hl5qQyP7Z122mnyyiuvyEsvvZT231OplAwaNEhOPvlkOeWUU0REpKamRvr37y+333677L///p0uo7a2ViorK+Xiiy+W0tJSVyNOnMZKSPO8N3T4LbRJqDVUnmQdENxeT3NVT2Mqa39i+tmNN9wQ1Z797BmWtIZUsT7q6KOjGkNq9piiNfZNe2mL9MsqV/ssNoL/3021xoaT/xp3dVTj8O248dqcc1mDTTMvu+GMqF5jisbOoR727rpaQ4BOzE7AlLa1PkhfDwJdrw40MOxLh+lkGACEKho2ZO2t/SSlJyiAeNZgcBHqZ5g+hzUm11nBY2h1oP6IYUZolGBjVwwnmt9fVTqzsSY0ylzYTZPTUBXzaGCW4pUXjzPT0pG6ZoHbYs0H9a28NlgH3A3wVlTLMGWuW5vqXjgfTHJbVKAnDTaUjK0zLBiVqthyQRvDpp/96/pHNWpUmHKGqtv07hrth4od7hNsPLpizYpRvdbstaJ62IJhUY1NS3H/hCYbhTYMxPljA1BMnJtaMTWqP+77cVR/0UuT3LDBKDY5tRL28Bih2jd8/vCoXn2uam8rz105qvF4VTXoexHcV5Z+Zj3DUAVqK9T5HHj4LjoR3rzQZf7937TeCxpsTtfmrdJdz20ZoAl+IhK/2WDDUIzrRPDm3RO0V4wSfWoHrTd+XeujbtIanWVMfsMHzlUnaI3xlp+upvXDoLEZCXKofiHWZyI8Hgcc0Plny2yD629dkx6dDLGS1iwFM8lPGTyfE0N/PhL6ubud+vp6Ofzww6WmpkYqKpacOJjxEZ1HH31UNthgA9lnn32kX79+su6668rNN98c/fu3334rM2bMkO233z56rbKyUjbeeGN59dVX086zsbFRamtrY38IIYQQQgghxCLjX3S++eYbmTRpkowcOVKefvppOfbYY+UPf/iD3HHHHSIiMmPG//4Xon///rH39e/fP/q3jlx44YVSWVkZ/RkyZEja6QghhBBCCCFEJAupa21tbbLBBhvIX//6VxERWXfddeWjjz6SG264QQ455JClmufpp58uEyZMiP5eW1vr+rKTJKks9L3W0KA1lIhYjZ08KleSJA4kSSKchUdXs8hGE6mRkHeBo/zP/Fpr1NhwNP8zDf2RO+A0/u09WmOgzb+WfjVjoHKFKhYqVyJx7QoT2TDN7K4zVSXc9B7V1b4fqtP0UetEVoE+gdg8FE0KTEh7dDet0UIwzKyYHoa1pYehMofb/+Pg9NPjcnGeqMN13I/p1ge3HfUzBNP3cD1xPvP79IXpValqhpMRU9RQS8NGnCXNerAxHQsbXBY3F6edvrEAEtKK0jemjKl0UGIKmaXDIdhIFOsiOADdGvUErVio+kERdOVtAhdwfg+9KKu7Ves0kPRlKU+ooqEqhtuFDTRbU/p6tyZdz1XnqwO7wfQNonpEtSaGYXPSopRuS32RnkxzyvRi+67iu6j+qLfGGn7TU5uNvjVAA31w/6O+NWSBPhdHzxkd1SvOVwWuX53GBWIjTlTCPM82rMta9UIa0qjrMLRWby5b/KBeMM5/QYF6wXOLVev6vo/ejD/uo9rb1z2/jupZPTTW8K1Bun/eHPSmrj+eA3Aeoro2tFrXc5W5q+i2VOu29GwGNRG6ip59l2qEsajKNXSd5Z2ztEb9DD1XTD7Drs/zVGWMxWJOB8dXRKQQbn4Df9IaH2rf6HkQU9fwpohuNj4ocZ5V8HDExsB/OVPr7Z7V+nL9/CZfqUoY68o9TlNdY7Gl8BBDrWu//faN6n/84z5dHeMz2t//fndUH3TQgbI8sBQvJDRlNvSzVejPKTyfGa20Qet+YW17pj7zdiTjIzoDBw6U1VdfPfbaaqutJt9//7+LbcCA/0W+zpw5MzbNzJkzo3/rSElJiVRUVMT+EEIIIYQQQohFxr/obLbZZvL555/HXvviiy9k2LD//a/HiBEjZMCAAfLss/ptv7a2Vl5//XXZZJNNhBBCCCGEEEKSkvHUtTfffFM23XRTOffcc2XfffeVN954Q4488ki56aab5MAD/zdcePHFF8tFF10kd9xxh4wYMULOPPNM+eCDD+STTz6R0tLSTpYQT10rKzPcE4k3lwpN9PKkjXmmt6bBdDKsETw0niZPViKOZ4jRWk9LW7CapHmGZhFrmDaJSodpb8hht2mNzTNRP3t5c61xNB9DYFAHg55ocsC9Wn+0hWoa2ASy6jtVKlBLw4aTqFPhNLg+WIvY6lQbHgM0khxqIBpMln6GoKZlpZCh8YTGAzbotJQzTF3D5p4rqckSCzFCYwPVQ1QVsS/fOu9pjQl9mKaHYUMH/V1r1ArRKHlWM1fklmNUXVvQXXWdmGbWpJqZlbRmqTglLfre8npVp/rUqAYzdKYqOpV16jjOrNIR9k+GfRLV1eXVOs9FOs8R01XTqqzV+cyrgoSxPpquhM1MY6lxlgJnJLAh2PgSG2L2WaTbi404sZlpTYlqOwuLYD+D2ocaWyyxzUqEgyakgxaq37neTI0XHD1bdbIVajUNq0cjXOgAqonzS3Qf/lilnXo/7q2K1Fc9v4rqWd1V68LGnSWtep4MWqDrObJ6ZFRjg87+Nfp72u4t2pC0tC39szqmxhjJe/hsbmntvAlk7HkA9ze8t84u1ZvCt5XfRvWn/bRh5ndVqgjO7aaaXHO+HmtX6mCbcfPCuhRuWKCexs7nOeD+9gfLpU73cyzVDF9HBU4kfuNEhxe9ZrxRoZaGr+ONFh92+Do+ZHC5uF8wde2GY7TGByXeUA++S+stILUXO3Gj0hfI7bffEdWHHrp0P6PIJJMnPxzVVlKc9fmosDC9Zmp9FkPw2vN8nvU00C0qKko7vdXg1dILPTpfOyGpaxn/jc6GG24oDz/8sJx++uly3nnnyYgRI+TKK6+MvuSIiJx66qlSV1cnRx11lFRXV8vmm28uTz31lOtLDiGEEEIIIYR0Rsa/6IiI7LLLLrLLLruY/56XlyfnnXeenHfeedlYPCGEEEIIIeQXTsbVtWVBu7p20UUXLXEUyGooaZGpRpYWONzoUbyyra4l2a5M7StPip3nvTg9qms48v4biEL7BPIynthJa0zw+oP2/JRZGlQUG7VHULNC+yGVB/schvmLmluh1ulR+0I7ATU5TIQTiSeDzRuuegwmd/WaqooLbicaBqjEYQjQqM+03vS/Wm+gQUeysloz0guaeGJSGe4j3M4FakXJTEie/2hNrbGZq6eZKe67ub213ukJrcdfqzUaIhh09M+dtf77QVqv947W76+tNZ4rSCpftZZYgpnR9LO4RafvV6MzHTxXD17VgqqoLm/QndgmOs+fempa0tcD1fNDnSwflJO+NarToPaGmhm+t7abniiNxXqwcRtx/pggh9oeKj0tcHLgPFE/k6W/FceUs6JWPemL23R9MIUM1S9MTkPlyaPbWSlwZc3qq1Y0qoaBzUkx2cxS/lC7wuabjfm6DxcVqoJUV1yXdno8dnjPwn2Cqh4qgrgP8b1Wg9qWPFBp4LzF6wLVQUzYw/MBjwWuP+4TK5HPepbg9G240gma6sYIdYJD39vx/ZaPjModPoxwmyHVMTY9anKWg4wdodE1PvxWrbGx6QP7aH3Bn7XGG3AC7rxTNbnf/e7gjMzTw8MPT4lqT7IvftYLbSZvff7FeWaqiT3+/MJS76x5Wg3nrW1pZ7k2DCWEEEIIIYSQ5Q2/6BBCCCGEEEJyjqz8RmdZ0dbW5m4smaSpkkfH8iSMeVIwEE8aRRKsBk6ehlJJVEAPnvcee9xxnU6DVhDqXRgy8w5oUBu/ofVRN2qNqWh3/S79fHCE/ZutToxqbNhY2qS6B6YWWc36Djrz1Ki++MYTovqrQeCJicgXI7W75+xKbSqHakcTqG+onG37nNYbv671CA0uimld2aCHBl/F+tJhEhqmnKGS+BOknFlpaff8Vuv/bK31v34D84S0u2bDwMAaG6d6TJZUnio32LASm2MWwglVmNIa9bBPumkqWmueagJNRemVHqsZaEwlAuXvx76a6PVDXz2X8L24/qiiYR3bLngdNTYkrw0UqSbQ20DhQ52poFBXGtWyxkLQ52D/YI2aE9aLUqp1WelbMZULjhGuP6pWKcNjw/VZULwgbT2tXGMEcZ+XtejJinpbZaPWmJLXqw1cTIN8+H9P1NsWFuvFGUurK9HX53SDTsMA3tfwOOKyYucwHMeYfpZvnMNGjctFzc/S2BCrYa60wnlrecqWJmbdIEIVuCXpah5FDZkKjU77a0JfTEWzOjCj3oapbhixiQ9H9J0xShRT5LDG91queAIwJWxZgs92XIempqZ0k5vpahb4uQzfi/P3KHPWZ0CsLV3NWh/PsjzNUtunCWkqzxEdQgghhBBCSM7BLzqEEEIIIYSQnINfdAghhBBCCCE5R879RscT1Wx5hkmilz2/ZfG4kZ75e34nZE1jRU2H+p8ekkREW8fruHHjgtYB0y43gt/fvLGR1n85S2uMlN70Va0naWK11EKS4Z8v0Pr4a7S+dpWVohp9/cZS/f0AdqPH2N8vB38Z1X/dv0rnU6BRnN0a4UcqIjJkrmYsb/SNbtzwmcOj+pQjdGWz/ZubbIC/y6nRnyLEoqBnQ6NxVMdRL8f54DTNhrZtafRGKnRMU1/rA637Ne8a1cNmqh+Pv9tqKdJzBX8r89GIj6L6u/7a3b2xSM+n2G8UjN/NdGvQje+5QH941n+eZnoPmqs/PsJ46Yo6PfHxd2f42wsL/F2O2RU71fn9F6cf0H9Ap8ttLND9U11WHdVzyvU3JT9U6O+Qvqn6Jqp/rND9j79TwThkBNe/uDV9lDj+BgV/O4JR05WL9OQuatOTsr5Yf2SIEdd15RoR/VO5/sANY7N7LtJjvfL8laN65OyRutwmXW5Dgf6gb0aPGVGN+2RGub5eXVod1fgbKazxdz/W75+QPOu3JcbLnnl6sGKwJd/x/DN+fyZNcHPBHwBixn5x+t9pmL8B6khoVPVAPX6xm1ksXtqYP9bYqwG3B39siQ+cK07SGh/Ev7tTa/zR5nvrpF+fBCRpE5IE/MyFv2sJ/SyGhP4OJlMdZTy/kfHES3tIus4c0SGEEEIIIYTkHPyiQwghhBBCCMk58lKZGsdahtTW1kplZaVccMEFUlpaGvs3j7JlxTaHRkojlo5hqWKIZwgwVEWztjfJkGE2hns9w6ueGGkEO9lPuDz9NAs0eTWWdtkMMmcbpFriSP31sDq7P6I1RhtfMnG3qP5isEY/z6rSGE/UjsqaNC520DxVh9b4fo2oXnH2ilHdZ4EqRSIi3ZpUSTrq6KPl5wrua4zs/g6STj/WTZZ31tP6XYgBn6mmVSyVFEGLBKdBRa2f2oOy5Utafz9Ua2zqjWbGitDguy+k686BQzMD7KqFFejSwYrCudVcoNoIqjio05Q16LkyYJ4uYNUf9AQcMktVxr416vP1qNMDEIt/blt2FnOSbtzNebp/BgzQbcfY6TaB2PxCPQmaU6DkwLWN+xyjjmvzNdJ7ftn8qJ5Tpgf7pwrVc36sVK1reo/pUY2aGWqs+N+MrQIx2Pnpo1pjap8R9Y3nTCxWGU64TClePwesuHRUAQsgnrgAbuoYWY3nDJ5LTS1GRLQnghnBm06Toa6hMobxyqi0WRHSHf/u0d1wPXB5/91U6/Xe0frWw7X+Rp9Fcsql6ddh+FSt8WaM81kZ2iSs+rnWe0zRGm/8WWDy5Iejeq+99sz4/B9+eEpUY+Rzc3Nz2tfx86Anbhl/fmG9F1uYJImXtqa3CG1P4tHw2qmvr5cjjzxSampqpKKiIs27FI7oEEIIIYQQQnIOftEhhBBCCCGE5BxdOnUtPz9/MR3Mo1eFDI8tDZnSwzxaWpLttaZJsh+sJBEPSXS1a8dr/df/0/rEK7Xe8kWtcXT+spO1HvWZ1n1AR8IAGRx5P/dsrRvAoqyofTSqe7SuFdXbfrhtVK84A1Q0SLfq0aB6kfdYH3VMdnU1tBwwtWxWP62/0jAn+XC01qiffbGK1piQhvMv03Am6T1X6yEajiXd1AaSLzU4KqaojdTwOtnlca1Rk/vH/lo/NFZrDCHa+HWtN3hL62kraI3bjilwuF3S1givp1duYslpoJNgMlvvmt5RPeKnEVHdB5y58jp1M/NadZ4NxZqmVVesaV3NoM20FerGo0aFqmVLgaoQDSU6zxZQcVDTWlSiB7W5UJeF2lhsmvz0r+P888v0/oLpXrjOuA4xRc1QxVDrimlg4tCLjTiw4jY9CTAJrakQlaT084wpeaCi4fS4LcsLSyHD7cWkyMrmyrSvY8ocnp8Lihfo6yX6Oh53TMOLHff89CliMf0P/s8XEwKlqUTSgjepRaqSSomuT0wHg3PeVOBwPoXpk/1idFTXcHl4I6xQBTN2Y8Mb+X73af2v32g99iGtLzlF66d21PpSeH3f+9Ov6wP7aL0FOMLTVdOWXz+jNT4ossADDzwY1Xl5ut9QM7M+f+22m6ZnTpnySNrp8XMQXqz4uqWcWYR+bsXpUY3DdbDei+uTJG3X+mzrSWPr7LNPyHpxRIcQQgghhBCSc/CLDiGEEEIIISTn6NLqWjoylQzmaVgXShcMuEvULBWHJz3NTEPB9LOTL9Mae5PdCEYXalAYgoPTv7SF1mghYGNJfB3rP12s9WG3ad1njnaNvAE7jxqkZOlTTpYEalTY9BSTwTDxDMNu3l9b62/Vloo17kTjo1xNExnyvdZbvaD1ap9qjcFCmHL21A5av7il1gOg1x0G9AyFZeH02KMOj2V3tWBiOlwLpHJ9tKbWaFTge9EawX2Lr5e06D8MnqPeXmkjOI+wDxcVqx5T070mqmf20qi4H/qrz4eaE55CmMqFWg42EkXdKN9qemiA01vzwbSr2OuQjlUEFyWuGzYnxdfLG1XP67YQ9CdMk0tBs9QWnQbXBxVB1J8WlmrTQmwYOq/bvKie00391ppSPUYNharzoTq1LBPPrMaXMT0SPgLktaWfHs+rmOZnJblBaTUPnS+aYudZf+ucwWa13VtV18Ljjkl6TQV6o0GVEVW3WDIeNq5E8BrB6w4S3mIparh/DJUudkPx0LFjMepupXr+xRp6opuNMaHYuBNBnxddXbyhbv0frb/WRtmy7XNa/6ApkLF9ivpc4H0nCUk+gzz66GNR3dqaPm03NKkMPx95NDZrnqEam5XGlo2GnqjMhaa6Jf38yBEdQgghhBBCSM7BLzqEEEIIIYSQnIPqWpbng4QOSSKhSWs/B7Kh6t1yhNbnn6F1L7VJ5C9nao0aESawYWgOjubj6DyaAP/3V623eV5rTG+76gStUYc75A6tUYtAJQQ1kFijvwJ9HXWYhWVxpeKR3bVGIwGVM3wddTUM6EHDAlWuvrO1XvEbrXE7cXoME8Jktuc0dE7uOERrbCSK70WbA19HE+KGY7S27Acr6Agbx6JpErPA4HKrrtJ6roafxeaJ2t4K07Sur9KTEVPLMPEMU6rKF+nK9avRnYiqFapczaLzqS/Vg1HTQ5Wq6vLqqF5UqhcBnn+YfNVvvi538OzBaWucBpuZokImMbMJVAto2ogpZLhPUOGrgxOidYDu9Hnd9QbwY5U27sTmngtK9MAsKoQkN7gmY6lrhkLqwdLGULvCY4cNf6saqqK690I9yXrVaZwfKlt4j5jRXZ3Or/ppM8YFpbrtuI2tKd2HmLYXuu15RqNMK4kO54/vtRQ4qyEs6mcxPc+KsQPacBOxzndsu6dhaCx1rSX9NOhQ/3t7rdEhPukKrXH/TN4rvk7oXeM6XfSn9O9/GJpj4o3N4rVfaY0PQXTCsZNzi/HxEm+u67+tNT6g8MGdBVCF8qTehv58IVT5tz4bhi4L54Opbp5mo4jVeBSJJ8t1vm6huhrW1np64YgOIYQQQgghJOfgFx1CCCGEEEJIzpGX6oJRYLW1tVJZWSkXX3yxlJaWuobErOE9a4gRhzZx2MzTbCkJ1nItkiRlIKHNq6x1sN5rpWbge485Nn0iGY7i7/1g+vrvB2l9KCSebQ0pX3f+TusndtJ69U+0xqSu7Z7VetP/ao2NLn8aqDU2rsTwmVU/13ruYO1W2VAEjRaLVG1oyleFp6lI69YCPPfiDeUMcyRmCaDNgCYFKlvW65bWhSYE9rtD8wBTznB6TFrDdUObA2vU0nA+2A9vzY+0Hv2h1niMYZfKd8O1xmP/MQQVlcD02HQWe+yt857WPSFQCvfnTRdfEtWo66DOhBS0plcPrPuOpRLg9dYAaUy1sONm9FblaWr/qVH97cBvo3p+uW4YnpeYYFbcrEpVWSOcEAA2/YylchWnb/ppNfSM22EJNDOj2WV+q55wmNhW2aBRg33qtElrv3pQ+Fp025vydF8tKlJlbm53VX6qS6ujurZEjwvuH9S0Ys1DAdwPsbQ9Sa/qtHVM7vr/lLZoEiBqcqj5WU1aUxJ2jGLaW4aOqQtcrnUDxRQ13FdvQTTk5dBxehN4UOwHzTNf3UTr9UDXug86Fh9wr9boZWPU4z931roMXGERkTZcV7gXgCIpf7haa3B+J09+OKr32guUtkyx8z+1vnxC+mnwZokxqlP2yMgqPPTQ5Kj2fO6zwGmse25o6prns5unyaaFlXhmNTnFZYVuiwdP89POUtfq6+vl8MMPl5qaGqmoWLLqyBEdQgghhBBCSM7BLzqEEEIIIYSQnKPLq2tlZWWmloYkUdeshI5QxcszxGgtF/HoaqE6n5XQ4dlGa3pPUpw1VHncuHFR/eaGOj3qamgboB41R22SWENPVKUwbcvq4YeJWZj+hSliqGihWmVpVjFDwjofjPQgbJqHWoqISGm9bhwaAFY4kJVChuuH1gZqadjjzQrWQaxlIbi/cB3w+GHyGzYMxd54uCxMcps+SOv5PdMvt1LDyWT41PTLRU0OwRQ/5JONN45qTFRDZQgVNUGLDXW+QtWWUGFCZSimOcH0qIQtKlmUdhrUyTzamKvOkHrkSfQqbNMTEbWrikV6gXZr1BO3R4ueHJjihfuwvkjVoLqSurTTWE0nXY1BjaauVjJbcWtx2ulRY8P1sc4T3F7reFnrb6aZeQ51hsJCcdtjzzZj/rjOrc1wgeF5hW4uxlDiDQ4bXeL02IkZX0fvFm/K9/xW64Pv0vqIW7SecLnW+zygNT7EMG5SRGSlr7XGrs7HXa81dGN+6IEpUe1Ju8Lmkvvuu490Cm7PGedrjeoaNipFP/yEq7RGje/mI9Mu6t57/5F2nS1lPjRdDWtsuBmqruE+9Kwb4kk5s7Q66zOjNX3o5z4kNF3Nwmqi2v461TVCCCGEEELILxp+0SGEEEIIIYTkHF26YWheXl70px0rqczTFMoiyRCdtSxraDA0WcMzJGmtmycJzVqWhWc9LVBXQ54eozUqSHtpiEqspxo27nxwb60tjQt1uOe30Xpl7bcXU6Ia1IyJ2Q/4OtoMI7/UuluxqgN9atSx61mnPlVps84Imy6iTrL9raAFSNywwN5vNRoQJd9p4Jt8tbLWGOqD2h9uA4IWRh/txygDf9IaVb/vh2qNTTbR8hih4V6yxsfp54OhR6gPoqUxdbjWqNthM1M8HqjAWcFLqOrh/pk+XJtmogaG6XjNBdqN1tLDYs0Q8wytyKNCGYQqZEmWZeHRz5KsZ3M+KFvFWi8oXiCd4dleqwGo9Xps/kYKGdat4Cli49dsPKE9+pmn0WdsnvgMBvWupEWd4lgiX6tenKWter8raQUHGcDkuqYCreuK9QaBDZVj2l6eETdpdQVGDxW10phiCvNEnQzBGxy+d3/VrKTfLK3xRoadmA+DGFG8if/t9/HlwXocfwjc5CapHlfcqlGRr6CqCM9nVGzxuF583tY6zx2ekrTgjfy0i7RGXe+tDbTG2FJU2tAJR40POnTf/X/vR3V+vl4o+BkwNIk2VPHy4GkGGtqQ1NMYFNcZlTl8ryep00pgy1QTe486mGT+IhzRIYQQQgghhOQg/KJDCCGEEEIIyTm6dOraxIkTF0tds/A03EsyPOZpyOQZ/rTeayl5ntQ1K73Nk+6RjWZRyLHHHZf2datJ6AZvaQ2j2HLo7VqjsnTvAVrjqD+mZ6F5gLoWzgebfm78utaojD3za61xtH38tVr/7apJko6mQmgqWKzqRHWP6qie0VM9q8oPbo+9//21tMYmmJgwhsl0uN5o7qDKNeZprXd9VOtK2HcPQPjOQ2O1RvNg7fe0PvomrXd6QmsMNMLjhI1d0X5A3Q71NmwMOkqtsdhxxfnjPsF1xv2G78X9Vt9Dk7usdDxMysprM6430GAai9IneuE0lt7mwWqOaSlJVtIfpoHFGlPC9FZiW6xJpaFLxRLA8tO/19OkMvayse2x5TpSyEIVO0vbs6bB5p7YjBVfx1WI7VujkShuY6zBa5uenz0a9XzGBqnY+BXVMmwaO6Ob3jjmdtNGqHhuDKgbENV9FqkDis1VMbnOAjVFPBaNBXrttIjO5/PvIGIT/Vq82aFahnpbm/F/wVZ8JNJqJLxZ8ZdWVCemwIFH26sS1DjpcH8x7cTOz108n+bPBx/butfgDRi1P7zOMQITH6wPQ3PScddpjQ96VPR+/zetIbHt/vs1mQ5T0RDPZ7GiIkjGNJQtz2cfK4nWmo/ns6enuSeuf3Nz/PxYWqx17qyhZ8dpEGsaS8lj6hohhBBCCCGEdIBfdAghhBBCCCE5R5dOXVseeIbiLFUsdJ6IldzhSZnzLNczvOoZdk2ajtHO7L5aozqEATT7aYBMrO8ajvQjqKj96jWtsZ/a6A+1xkal2O/sxS21Rjth4qlab/Kq1q9spvXzo5+P6u/7fh/VP1WpUpFq+C6q5/dV7SKmnKwLsWMiUjVL03swaQ1VKwzEwcS6A+/WGq2N/2yt9flnav35qunnj/sCm29+vKbWqJ/derjWn6yuNabGWT39sEkorgOuG85zXi+t0cDAGvVETNxDjQ3r1gL17RZWqNLTUpC+caSZWGVobzHVCmpMtbJUJQvUn2K6VFt6/QyXVQQNEGMNLuG8xG3H+WOTTUzBShUYaqynkWUs8My43+E0CTQ/3EbUt7o36c0GdS9s9orq3aIiVXswPQz3Ce5bXFZlg17YVQ1VUT1ogUZRDq3TiEPUw7Du1gRaWptqRAWNS/8swfv+zG4zo/rF4S9G9XPDn4tq1Ns2+ElTuPb4ao+oHlqj24INYVFvw+eW1awaXz/wCHCi79tP61uO0HryXlr3nK81Phww2hNvTOjCorp19fFaF8Dr+PBBpQ3jI+GmXDVCdbvmvLg+V5LSZeP5MbBWk80G1muN503vRRqH2a1Nz4+Tj95VF4Ba2kV/0nok3CzfW0frHZ/UGvfFZSdrjQ8EVPfWe0dr3C/wcLvvvvt19vnpz10Poc3SQxNwrfmHNuj0/CQC09Ws94b+7MCTHIzLtT6TIta1aqUFM3WNEEIIIYQQQjrALzqEEEIIIYSQnKNLp65dcsklUlZWFvs3T0qYJ6ksNGUjdGjNM1RpgUODVtpFpvDobbgO1tAjvnfc+PFpl/XPnbXGpDLsKVYO/f9uPlJr1I7eX1vrE67SGrUjDNxBDQpTvnAk/QNINUOlCxuYfjlSa2yMuaBKE2f6zFTdafCPOs0qX2iNTTh/GKL16xtrjY0rReL95Tb9r9aYPIZq2Uegk6FtMG2F9NOXqHkkYDDFwGODpgKG7GDzTZwGDRHcF3hc8Tih3jazv9afrqY1NhVF+wGPq1Wj5VRg9BtEYwW3BWvcVw2lqt/EksRAP7MaNaJOholn2FC22yLdudiosRDcPmxs2lCiO7S+VDuqxtLejOQ0SwPLRrNRK9XNSgwrb1Tds+civei7N6tm1gb60LzieVFd002dy/mlelJa6l1sPeH/Dbs167HAdRheMzyqR87TG8aghXoj6VenJ25po6ZeoVJU3JK+m6/neWA9Cz1JoB6sZ0NdiaZzvd3/7ah+eJWHo3pON735jajWBpq7fbVbVI+ePTqqS5r1PB87FpQzC4zbxIaWB9yr9ZUnav3qJlqj74uxmvfvq/WJV2q9y+Na/99ftUavF2/c2PX6ekgjhXW+8UFtNjqzTBVBEZHvK1WF/rry66j+occPUV1bqvPClDq8xsqb9Pr5/rn1dAHoPuMD4fBbtcYH5W/v0frsc7VGBe7cs7XGmysmsF10mtY3HRWVmLQW2iQ0SaP4JCRR1ywlzEr8Df0sHLq91rZ4joWlroXca5i6RgghhBBCCPlFwy86hBBCCCGEkJyD6hqwvNS1JEOtniSOdM2WvCQ5PaxEnOP/8IeoxrCb88/QGs0A1MNwekzk2g0aWk6GHmS417BBJapSz26n9dcraY1WAYL90QZA/7mV1RaQIWoLxFQm1Kk+VAMj1gBzAfS3w/eiLYAJch2nw/0Sa3CJoVAwCo4mAapu66tdEnvvkztoveVLWqMCh8cM1w3NJgwowu1B3Qt1MqvvotVzD+eJWh2qaFaDWCs8ybMOqLR1UyMsdj4191AnEfWb5jx9cyMc8IXdVHnE5rLYSNST8JYptcxKbMMGqdhosmKhqgW9ajUCr/cCdTzLmnR61O3qSvWCq+2h6k19T92587qpfraoUE9o1PAQK82sZ4NqZgMXqDPbp0FdUUxaa8rXYzG9YnpUf1n1ZVTP6a46FipwuA7969S/XGOuJoOtOGtFXZ+Fuj64nqixWRqxhZWiZE3jwWr6Z80Tm+R+2vPTqH5k5Uei+oue6rPitk87A6IuMUUNfdad/6n15RPSrzQqbXgTwUaXeOP412+0xs7KV+uzLaa9/foZrS0tC98LPPKIPtyW9LnEelY35KuiiveOeWV6zUzrMS2qL3seHhqYfrbZK1rjPsKYU/S6zztL67U+0Pq2w7TG/YtxoadcqvWUPSQdDzygncQtXSrJ5xdP4iwSep2EqmtWI1RMPLM+D3oafVo/TfAoc555Ih5drbP9THWNEEIIIYQQ8ouGX3QIIYQQQgghOQfVNQeeeXo0Ac/wYRJCNTZr3ax5WutppavhkCq+d9sbdYh+bx19lpMv0/qIW7TG1LW//p/W2HCyQcOJYqCRgKldqBehkYCNSnGaXjrKH9OdUDOrh1MRzzC0hVAZw+X21v55sb50q6nJISt+ozUmyImIvLSF1u9AUA4uY/OXtd4JbI6e1Vp/q0FH8t9NtUYjAQ0DK20MlTmP7oU6YFF628hU1HD+aFH0m5W+xmOMjUQx9AfPp0FqJMVUNFTdamHkHDU/1PBwPduy8F9MVuPRAjjpSpt0w8rr9OTtV6NOZe8a1cn6VuvOKmvQDUZFrQkcwfk91AmdX671rKpZaV9vKNaLEpuNIqhm9ahX1aVfq64zNj/st1BfR92rYpEepIomrXuIzrOwSU9cSwPD+5qptxRpvbBQtcO5PfRC/7y3Rgp+0VvVrG+rNN1qYZG+F5OxetfrMcJ0sjXnaJzisJphUd23UY8jJsIh2WgkaD3nQp/HUyumRvWTI7QR5TPl7+lEeHP9GBqD4k30Ymh0+cZGWmNUJaaf3XWw1qiZ4QWP6WqoxuEFjzdih5bl1dUQzzEI1eT3PPZX+g93H6g13kTv/J3WeIPEjtv40Pz39ulrTGbDWE0Am4QWFaWP//ToWB5dKrRZutUY1Dpm1mcxzzon+bmDpaWFNpC35hma/OZZ53T3DqprhBBCCCGEkF80/KJDCCGEEEIIyTm6tLo2ceLExdQ1C88QYGgTzyS7bmmbJHUkSaOp0DQ5qxmdla6GjD/++KjGEe3DbtMaE9Uw7OXAu7V+5tdaV0DftRmgtw37Tmvsu4YKHPZ4w1F4bNCJSV07PKX1ZOhL17FxZztoUaASddZ5Wu8xRWtM5MKGpw/urfWTO2qNypVIXP3CeeF6oNZVB/ZKEySMtaQPdolpaVayWVP6HoYxawPXB1W0lb/SevVPtEZlENcN6x8Ha402CloU8cadWlsNQy3dLhTcRqzzU7oBxc2gZi1SjarnAvUTB81TNatPjZ50PcFh7FGn70XNqRlcQFTFZvUEnaxqftrXa8vU/cT0s5bCzjUzVN16LdQTtt/8zjW58nrV6no06HYVNeqBXHGAJpJ5sBrrYZoR3hNRUfNoKaFKiKXG1RfpiTu3m6pu33ZTpe3j/h/r6z319bllOj02ou3RrPsQVbdV5mnc40rzNXJyhYXaORhVt6JUel3Iek40NzenfT2JJofsdTxc8KicHX+N1nizwIhN7CaNzi560xj/uY82qIypcQi60hhh+dkorWvTazZLo6shoZ9lPAlde+65h74B98uZf9H6qJu0xq7WGOeJxwYffNs8rzV2qw7k4Yd1nh6FD7HSzzzavvWZKDSlDWu873ia+HoSea3ENs+9LInG5jl3rXtiZ9tIdY0QQgghhBDyi4ZfdAghhBBCCCE5R8bVtdbWVjnnnHPk73//u8yYMUMGDRokhx56qJxxxhnR8FMqlZKzzz5bbr75ZqmurpbNNttMJk2aJCNHjnQto11du/jiixdT1zxJE9lQ15IMxSdJXcvU4fMMfyZR15BfX6saG45in3Cl1i9tqfXz22iNyWPYcBMbPGKC2WkXaY3mQQ8NM5KPNKhI9tVQl5gC9vmqWqPWhH3QsJ8aNvd8DYJrUNurBPUOQ2Y8Clh+h93c8e/toCrWmt5gjM0XVbEVtIec9NGehzFV7NPVtEZVbOj3Wk8HZXARKHOhmhxiqWWhyhnqZPheVPLwOA2EBrHDp2qNut0aH6efBpvU4n6+8YKzo7qpCBr69dCJ5vbRk3puudYzKmdE9YJu6lqiZtZcqPoQJrMVgc/XrVEPTO+FqpP1rFU1rv88bcKImllFvWoDpXXqBZa2Qd2SPhbRk0RpTbPCCqq6WPf0JPd3KzXSo7FZy7Lea91/UV2xFGRsAjm/RE8ybGD6VS91Qz/urSfozO4zo7qxIKyZ6cj5+rwevFBvCj0b9ZwpaDRuOkBoY9OYToVs+KbWdxyiNaaFYULal/B54/d/0xq96b/9Pv006Mg6mDz54agOPQe8jVzx75amaYHHYPfdd+t0etn+31pjA1D0wPGGhw+4LaDLNDYMzRBTpmijWc/1aaUoej6jWdekR5kLVTktldZan9BGnJ794LmHelS30NS4dPVyVdcuvvhimTRpklx77bXy6aefysUXXywTJ06Ua65RZ3bixIly9dVXyw033CCvv/66dO/eXcaMGSMNDQ1LmDMhhBBCCCGE+DD+T3Xp+e9//yu777677LzzziIiMnz4cLn33nvljTfeEJH/fau78sor5YwzzpDdd99dRETuvPNO6d+/v0yZMkX233//TK8SIYQQQggh5BdGxr/obLrppnLTTTfJF198Iaussoq8//778vLLL8vll/8vveTbb7+VGTNmyPbba6OoyspK2XjjjeXVV19N+0WnsbFRGht1WL22VpNNkqpbocNpoQkUiJXKYekJnuFDj6YRmuqG62Clfljzx/cee9xxkg5Us/acrPUECGZBbWrSsVqjZvb9UK0x/WymmhaxJqSosWE4Do62IzjajloThsmgxnX7oVpjspfVPHOWhk9JPuxmXDdUxlAN66ihzRigNdoAqKX1V0sltgxcV1QAMYFu6nCtMbENtwcbaKLqh+D0ofoZbguqgZiON/hHrbFBLCp2qKWhJnfOOVrv9mj6aTC9DZu24rn4nfZplIfGao375MP19cSpK7s6qj1NM1EzQ7VspWmammVqZtA0sxt0Ni1r04NX0qInQah6YOkhmADm0WRDmzRnqgk0kkQp9qhoFngPtZoiIqgIDqjXG8HAReqMrj9z/ahuyddzrL5Qbyqzumva3qe9tMkmNjN9abBqR0+N0CjKWDPTRdDMdL6mma0xR7U3bGbap0Fv3t1bNBrS2ocPPKBdpvfZB2IpMc0MndQ5uj6y1Qta4w0RHVlU1/Cmg52SHWASGJ5ueA5YyXuIp4ni/5YR1uDSqh999LGo3m23XdMuO9boE5ut/vYerfFBjFGlWdDVEGvb99prz6jGc8iTYBZ677Nez1QjVyQkqawjns+zoUlrHtXSc/+1UiyXhox/0TnttNOktrZWRo0aJQUFBdLa2ioXXHCBHHjg/zzZGTP+55T3798/9r7+/ftH/9aRCy+8UM4999y0/0YIIYQQQgghHcn4b3Tuv/9+ufvuu+Wee+6Rd955R+644w659NJL5Y477ljqeZ5++ulSU1MT/fnhhx8yuMaEEEIIIYSQXCPjIzp//OMf5bTTTosUtNGjR8t3330nF154oRxyyCEyYMD/htZnzpwpAwfq0PrMmTNlnXXWSTvPkpISKSkpWez1/Pz8xYa0PKkQSXS30CE9D54hxtDh5yRDoR69wsLS1dAq2At0tU9W1xqVtunaH1FOnag16kI4Am6lZ6GRgGoVWDsxJWwVtTRiZgM28Rz5pdaYwvUiJMXhslCzQo0N34s6Fe4r3A+Ni18CEdATMqZyYY3ToK6GGhyqWVZKWxHYVc1wua0A2tiakDyGzU1x/tjAFfXBs2Hw9jf/0hr3F24XKmq4fxdoz8mYhvfqJpIW7AGIpgUaGHPBgmlIHyQWWx9MAMQkupWnrxzVqJlhk9C+i0A5a9CTorBZN7KoSXcoXree+xHeO1F/aE113qQuCaGaLxJbT0MB8twHPc8JbLIXek/06HmeaULTszzrU9im21XRVJG2Xnm+np+pr/R4YTPTOWXq1f5Qqf/5+FHfj6L6655fR/WbgzQVzWxmWqOq22rz1TcdMU9f718NFyTeONENveIkrf90sdalcDPGGwHGbY67TuuLTks7fyvZKwnWOWk9+zsu15N+amnmibYBb64X/2np55MhYql86GhDKt8+h/9GXzcauN5/v8a0Wk0tkdC0sSQ/KUBC7xEezczCc8+ylpUp/a+zadOR8RGd+vr6xU6EgoKCaIeOGDFCBgwYIM8++2z077W1tfL666/LJpsYn0AIIYQQQgghJICMj+jsuuuucsEFF8jQoUNljTXWkHfffVcuv/xy+f3v/5dHn5eXJyeeeKKcf/75MnLkSBkxYoSceeaZMmjQINljjz0yvTqEEEIIIYSQXyAZ/6JzzTXXyJlnninHHXeczJo1SwYNGiRHH320nHXWWdE0p556qtTV1clRRx0l1dXVsvnmm8tTTz0lpaWGC2KQSqXcw1eZGl72NLizCB2us6bxaBqehAsrpc2zXZ5hSEyi2ukJrTd5VeuxD2l94elao5qEwTeonKE6hOoa1qtpeJAM0v55sWajqMyh+oQqEypLmHCGiVxoUWBDSFTOUAdDrQ4VNdS7UHtDla5jg1B8D6p71rxQoxoCP3nD/TXsO62xUSuqXL+7U+sG0PW2eV5rbKT6zK+1xuO9htouMbURz6F319X6s1FaYyIcTp8pzWzLF7Ue9ZnWuH9weuyTh+cxNqm95mp146zrE9Upq7kcamZJmhZb2lvoPcWD535kEZqEhk3wLKzGgNZ7Q3UPxDqO1r4NVV2SnAOe95Y16UU+rEWT04Yt0HqT79TMaCnWfYjNTH/soZ7rlz3VBf60r96AHllR9bDGkembmcpTf9f6xa20xoaeqJ+hxnbc9VrjQ2bC5VpP2UPSYaWOes7P0ERUS1la0nutdfIku2W4h/yyZ+d/an35hPTTFMK1jdGscLz33XefqH7oIX0ohf5kwdMY1FJyPY2HQ4+dNf/Q9Dnrdescw/up5/rpTJMLUf8y/kWnvLxcrrzySrnyyivNafLy8uS8886T8847L9OLJ4QQQgghhJDM/0aHEEIIIYQQQpY3GR/RWZakU9dCU9eykWYWijX06BnyDJ0/ErrtniF31MBOuVRr1MauOV5rTORClQn1MExaQy2tskZr1I6wYSPqZJjyhdoY6l3TVtAaNTnUkbrXpV9PXBY2MMVl4frj+uA8cV9hA8xVP9caVTKReFocNlsdAK2pUKPCpDlcbwtMuBs+VevrxmmNJsgZ52uNmh2eH9h4tRZ68W37XPp1sDQzVPqyoZllimuuvrrziQBPcpL1emizOM/8M9Ug2Zsi1Y51H/Q037PmieoHzidJ4mQoHo0tlEw9qzxqiWcabHTbv0Wd134LtVvyuj+pk4rNTBtK9IKf3X12VMeamcKN75UV7tUNwJsR+sJ408UHxaO7af2VJs5JVXVUPnzbf6IaT6tQ5QeVVI9aiVjn7ZLwaOlY77rrLkHr9LPgiFu0xocPqmuoM2KT06tO0Lqvnmdy85FRmSSdzLofeZLcLEKbw4amBVvnsUeZs9L/PNpkNj5fi3BEhxBCCCGEEJKD8IsOIYQQQgghJOfo8urakoYUM6UDINkYWrOGDz2qmDU0mI0UFWvIc/zx6qKh7lUDOtIa0EASFaR/Qd8uTCpDwwDVJxxZRqUN9bOjb9T6roO1Rl0LG1Qi3UAhw+lRP7MaleLrGOqCCtWeD2u9nbaSiqlVqOThvvIoZh3XAxuXYrIbJqd9sYrWnjQz3O94vHGbCw0jA/U73H5swvrJNkdH9R/+rAfT0sxwv3j30bLi6quu0r84Ems8OoAnoevnjKVshSrFSe5rSRQ1j0oXqqKEHrvQRnye+SCWohaqunhSnWL7s0XnX9lUmbZepUZvWKlvdPrjCvWGPbtMHxTfVejN9Yp34Qa/7rtR2XPSybrORjPTy2tWjOqRc0fq+tTq+gyp1+aZ3Vu6R3VBa/rmnB49HfcVqm4dz7EkDRmTJAlmBbyRWw8W/FCBaXo3HKP1v7fXGj+QoNKGDUMxce+/m0alZ/940nCta6m5uTnt66HJvtZ6JtElPc8bVNqwxu3yEJr464UjOoQQQgghhJCcg190CCGEEEIIITlHl1fXOg5jhQ53hSYDZVsPs7C0CE8KCw5bWokYFqFpHTiyjCrah2tqjboT6ksbvaH1mKe1Ro0N08ywMeaPg7WedKzWlnKGWtpuj2rdZ47WqHF9sJbW2AB0g7e0Puw2rXd8UmtMBUMsxQy3xVLMvh0Rn9fnq2rt0cyQ0DSzEd9qjWlvmGaG+l0RjF5DiJH87apJUd22qp6Lq3+vJ9Hqn6Rf566CpUh5mgyGpuNYTecsrEaEoesQiqfpnPV6qBIWug6I57hYKoq1/z3NH5M0VM0GmUqBs/aVJ8nJmg9S1qw30SFNqpANqdF6y356TBtnbBvV1TXVUf1T+U9R/UVPvcF91Eu7Gj++8uNR3VCgN9DSVu1M3L9Ob96j52uH6pHzVHsbtEB94p6NerPGtDo8l4qK1NHuqCBZx6kVmqG2iL6nXvQh2JwHN2nsII0PB3xoYkxoRa3WeOPH19E7xhojRlf6Wmt8UGC3Z3yY4HwwXhT1sxNAHcbmr+Ou0xof7viBAbZxv/32jep//OM+SQceJ49um0RBXpZNXXG7rPuXJwHToywzdY0QQgghhBBCnPCLDiGEEEIIISTn6NLqWmdkO20sG8sKJYnW4Zn+uHHj0r6OQSVvbqg1pmphA9DdHtH6pCu03vd+re/4ndaYEIaKGo6k44g2JrPh6Db2ilv/ba1//S+tJ49Nv1xMQjvqJq1Rq8MRfGx+iqPkqJllSjFDK0Ak3ljUo5kNVDtD+s3SenmlmXmSnboKV14BJ/gyvHeEpn55GoaGqmvW9ElSnTyaXyie+VjTWOdqphKDlpe6lmS51ntRr7JSmhBLDbcU7dB1xtdRDxu0SG/8A+vVlV5rtmpNu+VrU9GaAlW0ZneDZqa9oZlpL73h/nuFf0f1o8PBlYbVL28uj+rei3pHdb9F2ly1pFm96fyC+DnWkKcPiPqi+rT1onzt0lxXpA+vabPBx37lTK3RRc83rmF8QOMDF6NQsVM01qjJ4UOmBT6aok52335aY4rawXdp/Rg0PMWH+6erpZ/neu9oDZofzv+BBx7UVWsJu4Y9DeE9711e4E8fPPf30GbSSMh7Q/YNR3QIIYQQQgghOQe/6BBCCCGEEEJyjpxW17KBp3FfKEmGJ3F9cHg/ScO6Y487Lu00/9xZaww2QXDE+TLtwSYvb6E1Ns084F6t5+pofWw0HJtyrjBNa0xpe2xXreu0T5uUNGr98RpaY4LZit9ovdkrWqOe9/CeWt96uNaozyG4XNTbMBxmTQ3xiW3X8Klao2KGKXYYgCPi08ysJp64Ddb2WFjz9DCvu25Qqjn9MPi5N54T1Uedo7WHJOuGFDh6S046/3z4mx5wS9kqkPRJU0iedH5fyEYKJK5bStKrCp4GkW0tsO2B/6UW264CaJiY0oPaEniAY/sEVg3vmzG1RNKnBBUUdp5W1yZhqh7uz8K29I9lT3PoUDxNPD0JftY6oPaCyV6teTrPNlCiMCGstVDrxjy9oTbmQ12o9aJC1bIaClXjqiuuSzvNgiL1dOeXaoKXqX0VpJ9/Y4GuQ0t+S/o6Dxp9wnmF+2Feqd4PseHpJ3npoycLUvHzEFPnKhr14dWrQZ3qFRauoK/X6+vlDarN3X711jrT6iqt8YGIkaH4wMX4UHyYYBobet0vbKX1xFO1Rod8F024k1Mnan3g3Vp/tbLW2Dz0Y4h7Rbd8b1XRYglsF52mNXjmqdQHUR2qUXo0Ng+h1zlOH5oIF7pdnvVMokEvzb8jHNEhhBBCCCGE5Bz8okMIIYQQQgjJObq0upafn7+YopUk8SFJszKP1mG9bjVSsqbxvG6tT+jQ6S1HaH3+GVqjuoYK2X831fr4a7Te9jmtMVUMR8NRV9vmea1x5Pr0C7X+eqX070Vw9DzP2Nx3100/DYbMoCWDKhPWOA0qfBgOs0ANAflS+8aZWOu8NFihOctyngt7QrycXBpVeXgAjW2+an99b+W8+eknSrBuFpYhNb9fX/jbVeknMrYlzzhhPboaUtAG+kqowWSsW2yertmkn1FBa3oFDvFsr6VyFRcXp33dAtcB1y1YCcnX6Ytai5Yw5dJR3Nb5dsXUOLx04IaB+w2nR1UMX2/Nh8aSBXrSt4q+jvO3NC1U1Kxp2vJguaBv4TS4LHN74Zha51J+CjQ/uO7w9aKUHsfCVt1vRW36Oh5rfB01MTx2OE1ZiypdhfBwKE7p9Hi8cLuaC3R/orY3vyx+D5zVbVbaf5vTTbtgF1Tped+jSfUzbFwqv4KH5ixNfIs9rJuMc9R64B5xi9bYGBQ7VD8ECWlnn6v1jUdrvfV/tD5Znx9y4D1ao/Z2+QStj7tea3xw44cZ1OqA0M+Mnvciliqa5HPlsmxoj/wcU1M5okMIIYQQQgjJOfhFhxBCCCGEEJJzdGl1rR2rKZlVW4RO73lvkvkglqLmSdPA91ppGuOPPz6qMZ3skj9qfdDftT70dq1Rx8L3YjDL3QdqjaPP2DwUU9pwnteO1xqNH1SKMOUM1bgdn9R685e1HjRda0wwK9NgnVh6mSfgqbGk82lCyeQ8QxPVMjXP5w85JKrxnMNzN6asGEPfeO7+5sEH004Tum4esJnrbLDV+s7WZCRs5oq8tPMuaV9vLmxO+3rsGgYVx1K/Worg3meoO5beY82zKV9P/Pw8uO9YtzKcDUzTnK/bGKwzxHoQtqZ9vaxMdaBQTaOpQLcxpkXB5pq6VL7OH/cV6lixJDFQsyxNC1O5MEkMdbLYfOD12HKNGjWwWJKe5S8C1nkV08Ckcz2sY0pY9DqokrGGmPBeT43biOuA6x9bzzYjOdByXvHcBp0M63rpEIf5/8Hja+5yx0cF3MaO0+P+LW/SByguG8/72hLtOo16mxypCWMx0MfGBxPeaHEafJhi6ho2FcUa53nBn7XG5p5Th2uNsaU4zeNwz31xS61Hfab1Z6O0RiUPeOihyfC3zn8igAmD1ucs6/OdlWzoabJrvddzH7Q+GyKhjagzRSYbJ3NEhxBCCCGEEJJz8IsOIYQQQgghJOfo0upaKpWSVCrlSi3zDONZjeM8SWuIR12z1DKPtoPT43CphZXicfwf/pB2+md+rTWOFN/5O63vPUDrVb7QGkNaDr5L68dgNHm9d7R+agdYTxiZfWc9rbd7VmvsBTZNe5/F9LYKHZGXScdqPeQHIcuBhRtuGNWeRBmrsRi+98ibO1fXkpCkOe4eU7Q+daJGBl5xuc4oU83WrMaRoc0lcd/ifdC6l+H8MWUrvzB9M8TmNkjigkSvWA1+aHOxTr+oVBWY5jJYVi9dVkOxuoP1JaoPLSxcqK8X6+uojWFTSGwEuahIlxtbTyM9zKOBWSoXJm51b9YGjCUtqvNgcle3lm5pp8fXMVWre0v6afB1bDjZo1XfW9Si6WHFeZq2ld8MqWV5kD4HVibqYZhshv/FmuSZHTsnA5u0IvgcbU2lv0dZnwMQ6zqNqYOOa78gP72mhOdbx2vZo/RYSlVtAWhsJaqxnXsfJJhhN+21QG+zPHDslP3jYK176DUZi2b9z9Za73u/1idfpjV66fghwfKUUUt7Y6P00wBxXS091jMslNAG75lUudLNM7Shp/V5OXQ+ywKO6BBCCCGEEEJyDn7RIYQQQgghhOQcXVpdS4cn/SzJUF8SPMlpFtlu/oSNQS89Reue0JPsAOjJ1X9W+ul3/qfWz2+j9Q9Dtb79UK1RS0PVbeKpWr/2K60/WEtrTHXDUXLU6qirLR8mXa/N2cYdd1xUX31V+saanmvy5FNO6XSaJCRpjnsCbBYmsx15s9Ye9cXSwFokfUPGVDGofYV6H2ks0OQu1MCaIEqwsVinqSvWCwg1sAaIk6vtoXrLopJFaaePzR/Sw5oK9fVYM0pMD8tPnxKGYIJWkagKhcldqIGVtKr6ZWlg2PBx4IKBUV3VUBXV5c2aYtWtNb02hupXWavWuFzUwEpS+rrZOLIZmpzmgerSEqYve5KTLMURn09WSpP1uvnchUfeslRdzOcohKKVFemxw0RXz/WL01j7zQKPY6olmaZkqfG4PQim3fVu663/cJM+TO/eSh+4Cz7Um98xe2+v0+/6mNb/91et58I8MYHtpqO0vhpUenyg40P8w9FanwINQ9uW3f/ZW8fSc34gnkb0ofMJxVIZPSTR1Za10sYRHUIIIYQQQkjOwS86hBBCCCGEkJwjL/VziUUIoLa2ViorK+Wiiy6S0tJScxjMGmK0pvekrnmGGC0FwDNUaSVReZKTLKxhxe1uOiGq94YQKww5wRFh7OE19HutLZ2sCNJ3Drxb6/PO0vqhU9X5+cMJuj6frqbTHDtJ6++Gab3CNK0xXW30h1pfe42mumBTVPLz5Zqrr45qvE5Qu8iUxoYNbq1r4IhbtP5JzaaYRfHQWK0f21Xr34Lu+e7m20Y1KmGYEmZpYE1FTWmnaSsAVcZoImk1Iow1doQLPaaBtapOU9qkyUaoupQ1laWtSxt1+rIGSAxrUPWrpEnn060x/es9mvWmUtykilf/qv5RXdSmShime+W1pt/G4sL0qhhi3XM9moYnPc+jU2dKJ7GehUkaWluKGmIliuKz1tNcMXSfW/PxqGWezw2epDjrGY/zx/3gUdiX9DnAk/CK9e6779bp8oJZ9XOtp+yh9bXjtL5/P60PuUNr7ELeBxqY4geJbZ/T+v21l3YtY0ye/HBUh6ZeWtNYjdytpp+hiX6heH764LkOQ68xC4/21tlPT+rr6+Xwww+XmpoaqahI3/S1HY7oEEIIIYQQQnIOftEhhBBCCCGE5BxdOnUtLy9P8vPzzSFDa/gQsdJiOi4n3fRI6NCm9bpHUQttHohgk9A3tY+jFMCo+Zofaf2r17R+ZHet/w1BK9gjDHr+yVnnaY0BLBaomeEQ7z6f6XHZ40DtDPrwGTr9i0fr9r6Ew5xdz8z8xYPn6FVXXpnVZWH/OesaQDAN8P59tW6GXojVVemn6TlftYuavupgFjerRoW6V3l1efrXF+rr3Zs09QvVsm7NumGok8WaP8Jyi1pB/QINrKBFr0NU2mIamOh8LP3Gk8QVmizZu7h32tc987F0NcSjL4fer5MQms7pUcuSqHSZamDoOV5J9mGS57GF5/NEaCPw0GV1xLM9e+21p2teS83nq2p9xUlaY6dvSIeUF7fUGj9IHH6r1vhBAnS1KVMeiWrcj7iNlpYWPzbpj1O2f9VhJeBZZCotOPQ+61HLPAmM1jp4Xk8KR3QIIYQQQgghOQe/6BBCCCGEEEJyji6tron8bygtdPjNMzyWZPqQ5Ajv/D3L9Qwfogq0w6QTo7oVwkDegzATVNeu176PsSAU7PP1MIyMj30o/TqjolboUD9Qk3n0z9qIMq81TIfBJpbHQhNLotx8001pX8fz7Kijj15Wq+PSb5JQoT0wXdcANg/FZqB43mND3LsP1PrZ36m/ied0LPGsNX3yo1Vjk0FPchSSKR2oFbo/elKnkqSBefQtK90Lse6Vlm5kJXShflJcrAqftY1JmgpaTTw9Goi1/p5rKlSv8qyPR2UM3VehnwOscyNTJNEFPaqkl1BFKmNgM9Dpg7S+fILWx+kzOeYOYwdmTG8DrPMDdTUk9N5kve45R61zK4muZt2bPM16PQoZ1vhcsZIKEeue4mmu6klySwpHdAghhBBCCCE5B7/oEEIIIYQQQnKOLq+uiSRLgkmiEiRpFoeENjb1LMtSG7DG3l4nXaH1xX/SGsKeZJNXtX5pC60xWeq0i7TG+V99lQ5F49aGpi55FEGPGoAam/Ve1Nuuu/baTqcfN14T4boSN914Y1Rbg8XZSkPpDEs1QQXzhBNPXOr5Z+oauPVwrfEa2OgNrV/eT5tgmsqKdD6k72lI7CHJPdHSKKz19NzLPA06k5yHSZouWyqKRw+z1iGUTF2Dnv1paXsW2XiGhRKa/GQRmkTneW/ocq3aq7ElUQCzwuO7aI1Ja6M+0/qzUVrXpm8A+fDDU+BvYelhoaBmhte/pZ8l0YWt88xqYm/pYZZm5rnXhza7zUYD05DPziHL54gOIYQQQgghJOfgFx1CCCGEEEJIztGl1bW2trboTzvZUGxCFanQ+XiGPD2pGUmaXR0FYVuDpmuNKVOYuoYJVRiisseUzpcVqjOETu9p5ubZV5auhuB7r7/uuqg+bty4TtZ42XDjDTdEtalkwPTWvliWSWvIhJNPjmrU1XD9rdexxiak11x9ddrXs30NZErvCb3XeOaJeO5HSd4b2sgyU0lZnnslrhsuy6MRetQ1zzpk6p6ehKRJX+141tnSZzzz9KiSoc9vz+seHcxz/iDWfvA2G7XuEQccsH+n65ptHnjgwbSv77PP3lF93333RzWmfsWPsTYz9iiVoXh0NY9ahoT+tCJU58d1S/JZOLQRfZL9H/rzDqprhBBCCCGEENIBftEhhBBCCCGE5Bx5qWU5Hp4hamtrpbKyUi644AIpLS3t/A1OPI3OkNBdlyQtyTPkaQ2te4YDURFCMPwEQ1EwLAWbLiIepchq1pcpzQQJTR7xqBDWOljge1FvwxQ4C0yBu2HSpNi/ec4nT5M+zzl99DHHdDpNprjyCo1Cs9JlMpVCNv7449O+nqlrAPFcqx6dJlMqV5L3hupVoalW1vT9+vULWk/P64hH2UJ9A3Ubz/3O0p88zQyTJE5aJPkokCTRziJJqqkncSp0HXA+qAtZzzBLawrdLsSjR3akuVm7ey9LjQ11NY9+itvmUac82hhOY50TSfRQj8rlScBFQlXRJJ8BPVjHwvM89qzP0uqq9fX1cuSRR0pNTY1UVKRP6YvWqdMlEEIIIYQQQkgXg190CCGEEEIIITlHl05dS6VS0Z92kiQGLWk5nc3HM9Qa2gQsiW7gaSKF773s0kvTLhfnc+JJJ0U1NgC11j8/gR5iqQHWunkUFSshyVofT9pNaONEBFPaxJHg11FXCyU02WV5JT4hRUXpU3YsRcTCo37h/rWOAWp72GgV1w3P3VbQRqz18eDRET2pbh6dxqM/hd4TQ5seJlErkWyctx6Vw5uU1dn0FqH7x5OQlETxSpLSlik13JOE5rmneVL1kszTw9Kc8z+3XyHg8bBS1BBrX1v3I0/CWKauNwtrHUKbB4emMYaS5LwM1e2S3K89tM8/ZH9wRIcQQgghhBCSc/CLDiGEEEIIISTnCFbXXnzxRbnkkkvk7bfflp9++kkefvhh2WOPPaJ/T6VScvbZZ8vNN98s1dXVstlmm8mkSZNk5MiR0TTz5s2T448/Xh577DHJz8+XsWPHylVXXSU9evTIyEalI0kaE+JJsrCGM0N1Dw+hSS0e7cLSW6695hpdrqHDZCpxxxruzVRDLMSjvXlUtEwN02aj6e2S5vtzUx4sMpUSFqrW4DmH6Xj5jkQZz7mSjbQrT8pRqD6bbSUhtEli6L3VwkpmCk1UxPda90RPg1Fcbuj9zqPPWVjL8mx7knQ7xFJ1rH2LeBLtLPC9MfXUofyFakGhz2zvND+HRrMWnnMdjyuqbng8kCSKrWc+HkXdmg+C80EV25omNEHVs/5JzgFPgqTns1Km0u2WZluCR3Tq6upk7bXXluvw9wXAxIkT5eqrr5YbbrhBXn/9denevbuMGTNGGhoaomkOPPBA+fjjj+WZZ56Rxx9/XF588UU56qijgleeEEIIIYQQQtIRPKKz4447yo477pj231KplFx55ZVyxhlnyO677y4iInfeeaf0799fpkyZIvvvv798+umn8tRTT8mbb74pG2ywgYiIXHPNNbLTTjvJpZdeKoMGDUqwOYQQQgghhBCS4dS1b7/9VmbMmCHbb7999FplZaVsvPHG8uqrr8r+++8vr776qlRVVUVfckREtt9+e8nPz5fXX39d9txzz0TrkERtSqL2hCakeYZdPalinuHJ0PmHrkOmkkGQJCkkoQ2rPMOiodNnQxNLum8zpTZgWhw2Pc0UqIelMtT4zyL0PAttgJYp3c4zTaiCmSmV0yL0fuchtMGoh2zowtb8PcldmdIsPeew57h4lDxLFQtNRLSe357ULmueloqdRO3xqFihGqG1bl48KYq33XZ7VB922KHBy+iMe+/9R1Rbm+A5/3Dfoe7lubd6GnR67oMefdA69tnSz9MtK4kqlqkkt9D7eyY+a4ese0a/6MyYMUNERPr37x97vX///tG/zZgxY7GO1oWFhdKrV69omo40NjZKY2Nj9PfaWqMNOSGEEEIIIYRIF0ldu/DCC6WysjL6M2TIkOW9SoQQQgghhJCfMRkd0RkwYICIiMycOVMGDhwYvT5z5kxZZ511omlmzZoVe19LS4vMmzcven9HTj/9dJkwYUL099raWhkyZIikUv9rFmoNSYYqEtZwcaaG90KH9DzDrp7hd4+iFtpw0yJTalaSoX5rPp4mXqHaTug5Zg0te47LklSITA2Vh2pX2GTTun5Qb7MazRYXF0d1vrGvPccsU/vUozB6knI8Q/ShWqRFptTbbK9PpnS+bMwn2yqHJz3MIlRltPDobZ77fpJEMmuaTGmHVpKeR+9KslxrmtB7y9JoQdZ7rON3661/i2or2ezoozUk6s4774pqWyUM+4yQDZXWk2DoSXX13Out9QnVFkPvO7j/Q7cLSfJ5Dc+ZUGUzGwryksjoiM6IESNkwIAB8uyzz0av1dbWyuuvvy6bbLKJiIhssskmUl1dLW+//XY0zXPPPSdtbW2y8cYbp51vSUmJVFRUxP4QQgghhBBCiEXwiM7ChQvlq6++iv7+7bffynvvvSe9evWSoUOHyoknnijnn3++jBw5UkaMGCFnnnmmDBo0KOq1s9pqq8kOO+wgRx55pNxwww3S3Nws48ePl/3335+Ja4QQQgghhJCMEPxF56233pJtttkm+nu7UnbIIYfI7bffLqeeeqrU1dXJUUcdJdXV1bL55pvLU089JaWlpdF77r77bhk/frxst912UcPQq6++Onjl29W1Jf17utoiyRCaJyUliSJhDb97EkaSLDc0TSqJfhaKtV14LHB41dMMLNtkash2aRQbT0O9JMu25o+NZsXS1YzhbquprbXOnv3rSRK05o9Y77VSnjwkbYwW8t5sNL7NdtpQqB7q0SiSJGV5NDDEowha12boPStUf/LsH8Rz//XobRaelCzPuiVJM7P2G6pD1rEOTeFKqhdZx8BznuE0uG23334HTNP5uesh9P6S5Jghoc8/z7Xhmcaj6lnPPM/8rXuW9RxKkpbm+amE53hlUkvzEPxFZ+utt17iSubl5cl5550n5513njlNr1695J577gldNCGEEEIIIYS46BKpa4QQQgghhBASQkZT15YXobqNRxkKTUuyEnQ8SV/W/K1hf0tjy1QaSKaGFUOT4izlBPWzJMPP1ns9+p81/9DkpNAhf69+mY0mXaHaovXe0HQynN6jgXnWx2p06JmndR161BrP+ZoknSwbqWgWSeZvHd9QvSdUyfU0dvSoFpY25rnHeRpKItZ+tu771vyT3Mete6K1nh71zoMn4S1TCWlJEqGs6RFP4+pMaeVLWgbuO6v26IxW0ldoU1jPuZtEJw+9/yKZStL0pLdZ+9/z+QUJffaHnn+h108SrdEi6bnBER1CCCGEEEJIzsEvOoQQQgghhJCco0ura+lS1zxDd55EidB5WmRj6M6jUYTqRUlS2kKVDU9ah2dYNxvJHZ75h2pQmVpPb8KgpRKEpr8gSVL2cH2s89XT8DUJSbS3UP0Bsc77ZXFOLC1J7h0eQlOFrHVLMr0nXSk09Ss0hchSckPTlaxkSSQ09StUD/HsB8/zxpMWZumsnntI6PUSmtqHepeHTJ7zoc9VSxXH5RUVFaV93XPNIKGfKTxpfdZzBQlNRbT2g6exdOhnKM8+DE1pzJQqneSayUbyZtJ5ckSHEEIIIYQQknPwiw4hhBBCCCEk5+jS6lpra+tiQ5yhQ8eIZ4jOSvTouF7teBJJQnWYJAlbiGe41DMkHKoteIZgscbhc4+2l6RJXZLGr9lOIfGeJ9Y5l7QhXTtJzj9POpalpiTZd0nSjaz5hN4vQnWA0Gs49L2ZWm6o2pftdfOA51hoUpmlUSFWSphHgQslU/vEo5JaJFEoQxuSWtNY88yGSmOtg7Vc63U8f1BB9CxrSalrSRS90CTRTDXcDlWoPWmY1vxDm097Xk9yDVvzCU23s+bpSWzD/Ymfo0MTD7Oh8+P07esT8jmPIzqEEEIIIYSQnINfdAghhBBCCCE5R5dW1/Ly8hYbpgxt0Bk6vTV8GNr8zRpW9DSLs5ZrKWeehA4kVEWzCB3KtYZOPelEocPSOI2nOZ5FphSkpEljSRqjJWkGas3Tc5w8yXpIqL5irUMS1QLX2XOdJEktDE3x8egJnnPDc/5Z+zY0jSlT65mpc8Oz7VbKmUcZzZQGFqrPWvO3lKXQhqqeZWWq8WCS8y0biY5Jkv2am5vTToN491sSTRbxrEc2dEnPvvPc4zxY87d++uBRJD2JdplKQgudxpP+aX3msuaTJP03GwmbS4IjOoQQQgghhJCcg190CCGEEEIIITlHl1bXOiM0GQwJTeWw1LLQoWzPOidRb7KRQJNkSNuj8IU2gsMhWE/CWxL1I7TJnuccsFiS4hja2C70vESSNFL0nCseVcajpWVKTclUcsyyJBuaSehyPXpY6L71aLhWbc3HajxoaYoW1jp71BWPqpOk+axneqsRsudZmERFCU1dC93e0GlC7yHLa5qO01vnK2pIVnPTULU0U/eU0Ode6PM229ob4mmEHPp5xLPcTJ1bHpXcum+G6qehqn2Spt0iHNEhhBBCCCGE5CD8okMIIYQQQgjJOXJOXUvSiMgzhG6pGZ7Gl6GNHK0mikmagYaSqTQpD5YKaKUBWetgpSJZ6SqhDUY9w7RJtt2ql5QO59HVLDzH2HM8mpqa0r7Xowwk0TZCE5kQjw7k0Sg96+zBo6gm0YQ8+8TSBPCa8ShYnn0Vup6Z0gU9inDoteNp+GipcZ5mgB5Vx1pn61hg6lcSFc2TmIf7x3PPCW2QGIqV8hn6zAvVypPcE5JeCx4d0LOMbKQHWq8n1ZbSzcdaludznLUOHvU+NO01G/p1pvTuTKWrLa3GFvITDo7oEEIIIYQQQnIOftEhhBBCCCGE5Bw5p65ZhDYWC23sZA0NenSP0MaD2WhqGUqmkj6sbbFUvdChe2t409LVQtNnkNBh9dDjsqSh2iRD+ohnnaxEnyTHO4kqEzqf0ITEJLqINSzvuR95zsUkxz1TKs7PAU/in+e9SVIRQ1XJ0HPYo5yEaqihTVqteYZqh0mSqzzr4yFTTb6tGvdzpp6XS8JKwfLcgzxkI3XNg6X/J2l6jYQ+8z0KnNU8NDRBNjR50PMzi0x9VvAQeo/zHIv2fRuyHV3jKUYIIYQQQgghAfCLDiGEEEIIISTn6NLqWltbm7S1tQU3iEuiNnRcfrrl4vSepnOehA4kyRBmKNlQYzzTWPskdOjd2p/W66FpMqGKYxKWpH4k0Z8Qzznq2X5P2mCoEuZJu0mSNpYkuc7Cc6/JZKpSCB51wlJFfm4k2VfZSJwKXVaonht6niRJDsxU+p+1LJy/da/I1PPMWm4ooSmOHjwa4ZLm7/m8ELrNoZ9NsoFnn3qe4UkacVr7wdM0E/E8Fy0ypc9mCs/zIMmxyOT6c0SHEEIIIYQQknPwiw4hhBBCCCEk5+jS6lpeXp7k5eVlXTcIbbJlvTd0+lAlD0mSQpKk0Z81zGw16EySHmSRDXXLM3+PPmYlluH+QbzDt6HD8qHNED0NFhGPrpbkurLOUU/TttD1tPSEJGmJ2UhhClXLPE2IM9VM14N1nYTe4zx6mDUfz7p5SLLO1nysY+FRiqzlJlGZQlPUrGvT0o5Ck1KR0PdmQ33MFN59js+TJIlkSXR4z7IypX5ar3vu9R5NMEnqX7YVMo8Gmg1Cr6uQFLWO88wkHNEhhBBCCCGE5Bz8okMIIYQQQgjJObq0ura0eIbHkiTNeNLYLEKTOJAkupdnqNuzXaHN4kLVmEw1vrKGSz1Dv5ZW41GcPHg0k47ztI49bqe1fkl0AMTS75BsawuhGkno+WcpfBbZbqyXKUUVSaIMhRKqmSHLq3FypjRoC+seZN1zPc8Mj67mOR+SKCpJlOJMnXtJNPdsp1h5zv+leQZkKpETCdUuQ99rEfrZJEmaoWe5Fh7l1Ho9tGluts9Li1BNzpN8bN3jkj6HOKJDCCGEEEIIyTn4RYcQQgghhBCSc/xi1LXQIcnQRpA4DJkkrcN6PXQ4PVTBCk3nwu31qBaWKpaNRDhregtPMz1LD8GkG89xDNVMkCVtC74H1wnxKAahTTk956WnqZp1Lnq0iyRNQi2WZZJjplKbkqQrWcfXus6TaAXLS7Ww1iEb6VAW2VbyMnX+ZwPP+ZOETKk9SRL8khCqmHV87loqlOe+aU2fJPnVQ+jnFAvPccLnovUc9jyHUNHO1DkR+myzyMb56nnGJ9EFk6yDF47oEEIIIYQQQnIOftEhhBBCCCGE5By/GHUtU1jDbzgUisOfltKGhDZMs9bHUk6ykSLjae63LBupWevmAdc/dEg7G427sqFKdZyvtX7Wedzc3Bw0/9DzIFTpyVRjtGzrPZnSZjzTe15HPPeU0NRI676TjUZ2HhUqNKnPmr/1XgurGbClsXp009BGjstSKfQ8DxDPPTc0HdWjsHrWzdI1M6WreZ4Z1nFckm6Of8f7tacZdajelkQp9pyXnnPdur94Ul1Dk0ZxWdazEPczXs/ZbsrrUc9Dtchs3FOS6MJJEnZFOKJDCCGEEEIIyUH4RYcQQgghhBCSc+ScupZE90iCR9kIHe4NbcqVRHtLgmeoOLQJlockx9Gj/CFWQ7KioqKMr5sn+Wxp8Cg6ocPm1vytxL3l1XAwlGwnQVn83NS1UC3CmqcnpTGJcmqtj0WS/eN5r0d7C020y1Qin0U27qeeZWXjGkmi22TqPpOp/YngOdPx/EddCv8NX8fnlUc1tvQtS8G0UtqsRsuh6baIdS153mupop7Pbp5jY+3DJCT5CULoe7Ohm3vua9Y5mbRRPEd0CCGEEEIIITkHv+gQQgghhBBCco6cU9c8Q3SZ0lI8w7rWuoUOa2db1UE8yTRJGll5XreW5UnWCT0HkqSB4HA1DuGHDqUjlibnbRhqJadZ+9qaxkpGsoborXW1jlk2ktOSqFye+SOhQ/Ge+VvHMYlGGLrcJMk6numt8zsUa/94mv6FKrZJ1tlzLVjXl0WSe0poUmTo+ZYpdc2znz33NGu5HjzPmGx8trB0au/8k2hOHnUVj42VMGidc6FJjp71tPA8Gzyq+JKUwc7WJ/TasMjUOY0keZZkI9nTOseSfJ4S4YgOIYQQQgghJAfhFx1CCCGEEEJIztGl1bVUKpWxoeJMkqmmSp5mZZnafmt43NJDPHiGipelUuTRuDzzt5ZlaWyhQ/VLk5hnqQGhKpGnwZpHPwsdEvekrSAelSi02V22WV7LDSW0KV/SRJwQMpXQFXqNZCMJzVIzQtch9H7hUbBC9bxlmU6WRDXOxn0/U6mmnucW0vF1jwKbREX13KM96Yqh52IonvsX7jtLt8uU3p4NzTH0ZxDZvh5C8Xwm6mxfhew/jugQQgghhBBCcg5+0SGEEEIIIYTkHF1aXSsoKJCCgoKspJ4gmUqIseZpDaN6lpVkeNxKEgltEogkSVfJVFqdRwPB4XzPOlh4hvk9+8ra597hcyulx9IWPA3ikFA9w3Msk6g7nnMUCU1wCtVJl6USY02fKcXA2sZs6LOhxzFT93crmdBDpp43ln4Zeo/zKGeZSkJbliR5tnnItvITinUteJ4HHd+PnyOyrcl61LpsJ2OGEnrfSTJ/T3qYZx2W5bmYDTxpsp77V/v2Ul0jhBBCCCGE/KLhFx1CCCGEEEJIzhH8RefFF1+UXXfdVQYNGiR5eXkyZcqU6N+am5vlT3/6k4wePVq6d+8ugwYNkt/97ncyffr02DzmzZsnBx54oFRUVEhVVZUcfvjhsnDhwuCVz8vLW+xPEtLNb0nzzM/Pj/4koV3Ba9fw2v+0trZGf/D1tra2pf6D88H1LywsjP7g+oTuE5w//vHsZ8+yrP2DfzxY62mtM4L705onrn/ospbmfPa8x7NPrXMlCdZyrWWFHg8P1rHBP3g94DWA10amrvlMkeQas7COi3Xeh2Ltw9BzIHTdcLmh0+M54DknrWlwnvjHul/g69Y9zjqmOH/rvp+pa806xzzHNFP3R885b+1/60/os/D/tXd3sVFUYR/A/y3QFcR2LaVf0mJBBBWoCtI0RsS0gVaiCBgBe4HGQMA2UUFCMOFDbzBovAAJ3IkXiEoCoo2SVNpC0FKhhSAfNpRUCtKlEVJaKKVf57143+47W/a0z2Fmut31/0uabHdmZ8+cffbMzp5nn3FqvJKwtq13Krakj3TxZ4113f26x9r5LGaNb937U7Jfkvt1r5P1eU0/U+i2r9uOJL51/TwYSPpW0s+mx5v76Qfjo/Xt27eRmZmJ7du337OstbUV1dXVWL9+Paqrq7Fv3z7U1NTg1VdfDVivoKAAZ8+eRUlJCYqLi3HkyBEsX77ctClERERERERBGRcjyM/PR35+ftBlcXFxKCkpCbjvyy+/xIwZM1BfX4/09HScP38eBw8exPHjxzF9+nQAwLZt2/Dyyy/j888/R2pq6n3sBhERERER0f9zverazZs3ERUVBa/XCwCoqKiA1+v1n+QAQG5uLqKjo1FZWYn58+e73SQR61SbrnqInYvO6e63Tm/qKrDpqrBY26Brj24dXdsk23GqbZKLQ+q2aUqSWiB5vXQ6Ozv9t637JdlHt6amre3WxZxuHcnrZ6cNksorun40rdZlXV9Xfcu6vq564ECkp9wvO+ORnTFOQjd2mPanLj4l27FT9ce0H3TPpetnXWUmO0yPB3ZIq4Q5/bxOkYw/kvFacvww7ZO+KlXqtiupvKmLRV2bJK+ZG8cMXUVRyWNN32+mY5PusZL7ddsZzExjQPf+ud/PIibHC1dPdNra2rB27VosWbIEsbGxAACfz4fExMTARgwdivj4ePh8vqDbuXv3Lu7evev/v7m52b1GExERERFR2HPtF7UdHR144403oJTCjh07bG1r8+bNiIuL8/+lpaU51EoiIiIiIopErszo9JzkXLp0CaWlpf7ZHABITk5GY2NjwPqdnZ24ceMGkpOTg25v3bp1WLVqlf//5uZmpKWl2aoQ00MydWydIpU8ny6VRjfVJ7mQkmSaUJeSI2E6xaib3jadTra6n+omwZhOqer20ZSdx0qmzPuq9KWbEreTYmGaCmmnEpnusZL9N03Tst6WpBhKUjNN2+MUSQqpJF1F18+SC9xJ0mwksWd6gWFraq/uddG1U5LSYjqO69pmJUnZsG7fer/pRW+t7KTJ2Hl/2Un5scM0XUgXe5L1TVOu7Ywnfb3vJOO15Niiu9+pVCvTzzKSlGunLgAuofucIokbyX7p+tzO8dWNNGtJCriO5PN1fxcvD2nqWs9JzoULF1BWVoZRo0YFLM/OzkZTUxOqqqowbdo0AEBpaSm6u7uRlZUVdJsejwcej8fpphIRERERUYQyPtG5desWamtr/f/X1dXh1KlTiI+PR0pKCl5//XVUV1ejuLgYXV1d/t/dxMfHIyYmBk888QTy8vKwbNky7Ny5Ex0dHSgqKsLixYtZcY2IiIiIiBxhfKJz4sQJvPTSS/7/e1LKli5dik2bNuHHH38EADz99NMBjysrK8OsWbMAALt370ZRURFycnIQHR2NhQsXYuvWrfe5C7IqNXamx3Xrm1ZncYqk/bqUB8n0p2mVM8k0rSm303/spKtJ0l6sdFPdkpiUTOVK6VK2JCmDpm2VtEFS7UqyfTsV9Oyk5QxmpulqVnbSkCRpPLrn0pG0x3QfrUxTQiRpljqSNA3TtCsr01QX0ypWEnYqIjrFTjqlLnVTmkbcH10MmKae9u5b3b5J0qJN0+edGl9095uOy7r26z4b6irRmaarmo6VbsS65POp5HW00zY7VWMl40WwvjX5PGR8ojNr1qw+O0TSWfHx8fjmm29Mn5qIiIiIiEjEtaprREREREREoeL6BUMHgmQqWEKSCmGnOoudtunSiyTb11XHkEzZWpmu71QVMlOm+2JlWoHMtIKfLqXQNNVA2j+6x3d0dARdXxdPkvQ73fOaVgPSsZNGYpp+apqG4FSqpVNptZJUBck2Tdtj54J7pumbdtKTTNM1JexUMLOTrqajGwcl1QWdSvW20yd2xnFJOoxuPNFVzJOM0U7ti6QCYe8Y1rVbQvJ5wQ12Yt3O8cmpSqs6TlUetJOGa40Ha/849ZMCSdVO06qCuveANdX+fnBGh4iIiIiIIg5PdIiIiIiIKOJEROqaU9Psuil9O5XcTC+6aKfyiOR5JakfkosQul19SlJJz07lG0l1Dzv9b2VnSt6qryplktfbelvSv7o2Saq5mMaHnTQVKzspc06lV+mYpu250SdOpUWZ7oukn03HHTttcGpstZPaZyUZyyTvO9372vRirKb9bCc9UkfSJ3aOYbr1JX1oJTmmWlPAJGk4kpSr3u2xLrOmLUleJzsphpL3tp34093W9anu9XCqGq7uQsWS2HLjc6IuXU23jp20bDsp5pIqq7qKecHab3L84owOERERERFFHJ7oEBERERFRxAnr1LWoqCj/X39MLwRluo5TF6+zM7UsaZvptLzp9q2carOddUwfK6kAYjrtLUmjkKRKStOsdK+3bkpZEme69KFQXRhNF69OXbxOt01TdirOuf3+sVMBT/JY05iRpKg5VQVOwo3Xxant6FJR7FzM1Mr09XW7OpeOaXqhLq507ZdU9jK98LHE/cStZB9060vGUx3TdDXJcdX0M51pqp6OU9XPTEkqsFrpYtd6vzWdz9o/utfFzkU/JZzqw57HmmyDMzpERERERBRxeKJDREREREQRJ6xT16Kjo/usPmVl56JNpikMTqWcWUmqlriRGmNaVUtSmcY61WqaBmYn/UQypW2n0o9uHcnFG03T2/rqN+sy6/S1NfVCN9VvZdpfppXcJGkCpilqpnQVdExTUZ1KV7XDTnql6ftER1LNUBczppUQdZWyTC9YZ2WnypZTqR9OxZtTFep0TNO0nHpfSI7NuspmdqpbuVG9UHJslqQ1914miWPTipOS/pKQpFqabt+pCnK6ddy+QLqkUpxpWrlp3+pSH3X94FQasWTcD3Y/U9eIiIiIiOg/jSc6REREREQUccI6dS1YxTU705a6qT7rlJ6dCyy5UeVIVwnGyqlKMKYk0/6m7FSBGQzVkqwkFaqs+ro4me5ioJLUN9MpbtOUTdNKdpIKNKbtkVRd1KWH6qrVOVXFyw2m7xPTiwrq+tb0YrJ2+lDyeunoxnTTiz9a26BLl7JzbLAyHXdMU+BMLyZtyk46uOSxkkp0phcCN60QZpriJIkNXfqxk8d1O6lTdj7XmKZ7Ol25S0qXem+a9m6a2mvaNjvHXR1rzFn3XXdc1LVNsu+628H20WQs4owOERERERFFnLCc0ek502tra7tnme4sU/JDaesPk60kMzrWb11Ma9Lb+VbTqRkdybe1psUIJNdckHwTYDoDZ+dHcm7Pfpn+AFbH7oyOle4bT8lrLPmW06kZHSunZnR0RRkk7zGnfpCs49S1TyTbNy1AIPlhqeTbPMm3gjqtra1Bt+PUjI6EUzM6OnZeU9127Iy5TsW5nQItpoVw7MxQ6Gba3Z7RsWpvb/ff7utzhm6mwc5MoNszOm4UcnCDblbD9Mf5ppkFdoosWG/rjnOSeNV9djOd0ZFkQ0lmdHrcuXOnz+1aRamBjBaHXLlyBWlpaaFuBhERERERhcDly5cxZsyYPtcJyxOd7u5uXL16FUoppKen4/Lly4iNjQ11syhCNDc3Iy0tjXFFjmJckVsYW+QGxhW5xW5sKaXQ0tKC1NTUfjNxwjJ1LTo6GmPGjEFzczMAIDY2lm9CchzjitzAuCK3MLbIDYwrcoud2IqLixOtx2IEREREREQUcXiiQ0REREREESesT3Q8Hg82btwIj8cT6qZQBGFckRsYV+QWxha5gXFFbhnI2ArLYgRERERERER9CesZHSIiIiIiomB4okNERERERBGHJzpERERERBRxeKJDREREREQRJ2xPdLZv345HH30UDzzwALKysvDHH3+EukkURjZt2oSoqKiAv0mTJvmXt7W1obCwEKNGjcLIkSOxcOFCXLt2LYQtpsHqyJEjeOWVV5CamoqoqCj88MMPAcuVUtiwYQNSUlIwfPhw5Obm4sKFCwHr3LhxAwUFBYiNjYXX68U777yDW7duDeBe0GDTX1y99dZb94xheXl5Aeswrqi3zZs347nnnsNDDz2ExMREvPbaa6ipqQlYR3L8q6+vx9y5czFixAgkJiZizZo16OzsHMhdoUFEElezZs26Z8xasWJFwDpuxFVYnuh89913WLVqFTZu3Ijq6mpkZmZizpw5aGxsDHXTKIw89dRTaGho8P8dPXrUv+yDDz7ATz/9hL179+Lw4cO4evUqFixYEMLW0mB1+/ZtZGZmYvv27UGXb9myBVu3bsXOnTtRWVmJBx98EHPmzEFbW5t/nYKCApw9exYlJSUoLi7GkSNHsHz58oHaBRqE+osrAMjLywsYw/bs2ROwnHFFvR0+fBiFhYU4duwYSkpK0NHRgdmzZ+P27dv+dfo7/nV1dWHu3Llob2/H77//jq+//hq7du3Chg0bQrFLNAhI4goAli1bFjBmbdmyxb/MtbhSYWjGjBmqsLDQ/39XV5dKTU1VmzdvDmGrKJxs3LhRZWZmBl3W1NSkhg0bpvbu3eu/7/z58wqAqqioGKAWUjgCoPbv3+//v7u7WyUnJ6vPPvvMf19TU5PyeDxqz549Simlzp07pwCo48eP+9f55ZdfVFRUlPrnn38GrO00ePWOK6WUWrp0qZo3b572MYwrkmhsbFQA1OHDh5VSsuPfzz//rKKjo5XP5/Ovs2PHDhUbG6vu3r07sDtAg1LvuFJKqRdffFG999572se4FVdhN6PT3t6Oqqoq5Obm+u+Ljo5Gbm4uKioqQtgyCjcXLlxAamoqxo0bh4KCAtTX1wMAqqqq0NHRERBjkyZNQnp6OmOMjNTV1cHn8wXEUlxcHLKysvyxVFFRAa/Xi+nTp/vXyc3NRXR0NCorKwe8zRQ+ysvLkZiYiIkTJ2LlypW4fv26fxnjiiRu3rwJAIiPjwcgO/5VVFRgypQpSEpK8q8zZ84cNDc34+zZswPYehqsesdVj927dyMhIQGTJ0/GunXr0Nra6l/mVlwNve9Hhsi///6Lrq6ugI4AgKSkJPz1118hahWFm6ysLOzatQsTJ05EQ0MDPv74Y7zwwgs4c+YMfD4fYmJi4PV6Ax6TlJQEn88XmgZTWOqJl2DjVc8yn8+HxMTEgOVDhw5FfHw844208vLysGDBAmRkZODixYv46KOPkJ+fj4qKCgwZMoRxRf3q7u7G+++/j+effx6TJ08GANHxz+fzBR3TepbRf1uwuAKAN998E2PHjkVqaipOnz6NtWvXoqamBvv27QPgXlyF3YkOkRPy8/P9t6dOnYqsrCyMHTsW33//PYYPHx7ClhER9W/x4sX+21OmTMHUqVMxfvx4lJeXIycnJ4Qto3BRWFiIM2fOBPw+lcguXVxZfx84ZcoUpKSkICcnBxcvXsT48eNda0/Ypa4lJCRgyJAh91QAuXbtGpKTk0PUKgp3Xq8Xjz/+OGpra5GcnIz29nY0NTUFrMMYI1M98dLXeJWcnHxPIZXOzk7cuHGD8UZi48aNQ0JCAmprawEwrqhvRUVFKC4uRllZGcaMGeO/X3L8S05ODjqm9Syj/y5dXAWTlZUFAAFjlhtxFXYnOjExMZg2bRoOHTrkv6+7uxuHDh1CdnZ2CFtG4ezWrVu4ePEiUlJSMG3aNAwbNiwgxmpqalBfX88YIyMZGRlITk4OiKXm5mZUVlb6Yyk7OxtNTU2oqqryr1NaWoru7m7/gYCoP1euXMH169eRkpICgHFFwSmlUFRUhP3796O0tBQZGRkByyXHv+zsbPz5558BJ9IlJSWIjY3Fk08+OTA7QoNKf3EVzKlTpwAgYMxyJa7uu4xBCH377bfK4/GoXbt2qXPnzqnly5crr9cbUKmBqC+rV69W5eXlqq6uTv32228qNzdXJSQkqMbGRqWUUitWrFDp6emqtLRUnThxQmVnZ6vs7OwQt5oGo5aWFnXy5El18uRJBUB98cUX6uTJk+rSpUtKKaU+/fRT5fV61YEDB9Tp06fVvHnzVEZGhrpz545/G3l5eeqZZ55RlZWV6ujRo2rChAlqyZIlodolGgT6iquWlhb14YcfqoqKClVXV6d+/fVX9eyzz6oJEyaotrY2/zYYV9TbypUrVVxcnCovL1cNDQ3+v9bWVv86/R3/Ojs71eTJk9Xs2bPVqVOn1MGDB9Xo0aPVunXrQrFLNAj0F1e1tbXqk08+USdOnFB1dXXqwIEDaty4cWrmzJn+bbgVV2F5oqOUUtu2bVPp6ekqJiZGzZgxQx07dizUTaIwsmjRIpWSkqJiYmLUI488ohYtWqRqa2v9y+/cuaPeffdd9fDDD6sRI0ao+fPnq4aGhhC2mAarsrIyBeCev6VLlyql/rfE9Pr161VSUpLyeDwqJydH1dTUBGzj+vXrasmSJWrkyJEqNjZWvf3226qlpSUEe0ODRV9x1draqmbPnq1Gjx6thg0bpsaOHauWLVt2z5d9jCvqLVhMAVBfffWVfx3J8e/vv/9W+fn5avjw4SohIUGtXr1adXR0DPDe0GDRX1zV19ermTNnqvj4eOXxeNRjjz2m1qxZo27evBmwHTfiKur/GkhERERERBQxwu43OkRERERERP3hiQ4REREREUUcnugQEREREVHE4YkOERERERFFHJ7oEBERERFRxOGJDhERERERRRye6BARERERUcThiQ4REREREUUcnugQEREREVHE4YkOERERERFFHJ7oEBERERFRxOGJDhERERERRZz/AcfMNhbdKkhSAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Predicted Class: 3\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 15ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Test Accuracy: 66.67%\n" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from matplotlib.pyplot import imread\n", + "from skimage import morphology\n", + "import numpy as np\n", + "import glob\n", + "import os\n", + "import cv2\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.model_selection import train_test_split\n", + "from tensorflow.keras.models import Sequential, load_model\n", + "from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout\n", + "from tensorflow.keras.utils import to_categorical\n", + "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "from sklearn.cluster import KMeans\n", + "from tensorflow.keras.callbacks import EarlyStopping\n", + "\n", + "class Palm_Graph():\n", + " def __init__(self, train, test, label):\n", + " assert (np.array(train).shape == np.array(test).shape)\n", + " self.train = train\n", + " self.test = test\n", + " self.label = label\n", + "\n", + "def get_data(number):\n", + " number = str(number)\n", + " train_files = sorted(glob.glob(os.path.join(train_data_path, number.zfill(3) + '*.bmp')))\n", + " test_files = sorted(glob.glob(os.path.join(test_data_path, number.zfill(3) + '*.bmp')))\n", + " train_data = [imread(graph) for graph in train_files]\n", + " test_data = [imread(graph) for graph in test_files]\n", + " palm = Palm_Graph(train_data, test_data, number)\n", + " return palm\n", + "\n", + "def evaluate_model(model, test_image_numbers):\n", + " correct_predictions = 0\n", + " total_predictions = 0\n", + " \n", + " for test_image_number in test_image_numbers:\n", + " palm = get_data(test_image_number)\n", + " for test_image in palm.test:\n", + " test_processed = process(test_image)\n", + " test_processed = test_processed[np.newaxis, ..., np.newaxis]\n", + " \n", + " prediction = model.predict(test_processed)\n", + " predicted_class = np.argmax(prediction, axis=1)\n", + " true_class = int(palm.label)\n", + " \n", + " if predicted_class == true_class:\n", + " correct_predictions += 1\n", + " total_predictions += 1\n", + " \n", + " accuracy = correct_predictions / total_predictions\n", + " return accuracy\n", + "\n", + "def load_and_test_model(model, test_image_number):\n", + " palm = get_data(test_image_number)\n", + " test_image = palm.test[0]\n", + " test_processed = process(test_image)\n", + " \n", + " # Test işlemi için veriyi uygun şekle getirme\n", + " test_processed = test_processed[np.newaxis, ..., np.newaxis]\n", + " \n", + " prediction = model.predict(test_processed)\n", + " predicted_class = np.argmax(prediction, axis=1)\n", + " print(f'Predicted Class: {predicted_class[0]}')\n", + "\n", + " return test_image, test_processed, predicted_class # Modeli yükle\n", + "model = load_model('/kaggle/input/trained_model/keras/trainmodel/2/trained_model.h5')\n", + "\n", + "# Farklı test görselleri için eşleştirme işlemi yap\n", + "test_image_numbers = [1, 2, 3] # Test için kullanılacak farklı görsellerin numaraları\n", + "train_image_number = 1 # Eğitim için kullanılacak görüntü numarası\n", + "\n", + "for test_image_number in test_image_numbers:\n", + " # Test işlemi gerçekleştirme\n", + " test_image, test_processed, predicted_class = load_and_test_model(model, test_image_number)\n", + "\n", + " # ORB Feature Detection\n", + " palm_train = get_data(train_image_number)\n", + " train_image = palm_train.train[0]\n", + " train_processed = process(train_image)\n", + "\n", + " orb = cv2.ORB_create()\n", + " kp1, des1 = orb.detectAndCompute(np.uint8(train_processed * 255), None)\n", + " kp2, des2 = orb.detectAndCompute(np.uint8(test_processed[0] * 255), None)\n", + "\n", + " bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)\n", + " matches = bf.match(des1, des2)\n", + "\n", + " # Eğitim ve test görüntülerinde özellik noktalarını ve eşleşmeleri görselleştirme\n", + " train_image_color = cv2.cvtColor(train_image, cv2.COLOR_GRAY2BGR)\n", + " test_image_color = cv2.cvtColor(test_image, cv2.COLOR_GRAY2BGR)\n", + "\n", + " # Eğitim görüntüsündeki özellik noktaları kırmızı (BGR: (0, 0, 255))\n", + " for kp in kp1:\n", + " x, y = kp.pt\n", + " cv2.circle(train_image_color, (int(x), int(y)), 5, (0, 0, 255), -1)\n", + "\n", + " # Test görüntüsündeki özellik noktaları mavi (BGR: (255, 0, 0))\n", + " for kp in kp2:\n", + " x, y = kp.pt\n", + " cv2.circle(test_image_color, (int(x), int(y)), 5, (255, 0, 0), -1)\n", + "\n", + " # Eşleşen noktaları yeşil çizgilerle görselleştirme (BGR: (0, 255, 0))\n", + " matches_img = cv2.drawMatches(train_image_color, kp1, test_image_color, kp2, matches, None, matchColor=(0, 255, 0), flags=cv2.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)\n", + "\n", + " fig, axes = plt.subplots(1, 2, figsize=(15, 5))\n", + " axes[0].imshow(cv2.cvtColor(train_image_color, cv2.COLOR_BGR2RGB))\n", + " axes[0].set_title('Eğitim Görüntüsü')\n", + " axes[1].imshow(cv2.cvtColor(test_image_color, cv2.COLOR_BGR2RGB))\n", + " axes[1].set_title('Test Görüntüsü')\n", + "\n", + " plt.figure(figsize=(15, 5))\n", + " plt.imshow(cv2.cvtColor(matches_img, cv2.COLOR_BGR2RGB))\n", + " plt.title('Özellik Noktaları ve Eşleşmeler')\n", + " plt.show()\n", + "\n", + "# Test accuracy'sini hesapla ve göster\n", + "accuracy = evaluate_model(model, test_image_numbers)\n", + "print(f'Test Accuracy: {accuracy * 100:.2f}%')" + ] + } + ], + "metadata": { + "kaggle": { + "accelerator": "gpu", + "dataSources": [ + { + "datasetId": 5037942, + "sourceId": 8453243, + "sourceType": "datasetVersion" + }, + { + "isSourceIdPinned": true, + "modelInstanceId": 58385, + "sourceId": 69960, + "sourceType": "modelInstanceVersion" + } + ], + "dockerImageVersionId": 30698, + "isGpuEnabled": true, + "isInternetEnabled": true, + "language": "python", + "sourceType": "notebook" + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + }, + "papermill": { + "default_parameters": {}, + "duration": 97.297503, + "end_time": "2024-06-28T11:33:51.627504", + "environment_variables": {}, + "exception": null, + "input_path": "__notebook__.ipynb", + "output_path": "__notebook__.ipynb", + "parameters": {}, + "start_time": "2024-06-28T11:32:14.330001", + "version": "2.5.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/train.ipynb b/train.ipynb new file mode 100644 index 0000000..5c1db61 --- /dev/null +++ b/train.ipynb @@ -0,0 +1,11300 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "4131.24s - pydevd: Sending message related to process being replaced timed-out after 5 seconds\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n", + "Requirement already satisfied: torch in ./.venv/lib/python3.10/site-packages (2.4.1)\n", + "Requirement already satisfied: torchvision in ./.venv/lib/python3.10/site-packages (0.19.1)\n", + "Requirement already satisfied: torchaudio in ./.venv/lib/python3.10/site-packages (2.4.1)\n", + "Requirement already satisfied: filelock in ./.venv/lib/python3.10/site-packages (from torch) (3.16.1)\n", + "Requirement already satisfied: typing-extensions>=4.8.0 in ./.venv/lib/python3.10/site-packages (from torch) (4.12.2)\n", + "Requirement already satisfied: sympy in ./.venv/lib/python3.10/site-packages (from torch) (1.13.3)\n", + 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"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in ./.venv/lib/python3.10/site-packages (from torch) (11.0.2.54)\n", + "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in ./.venv/lib/python3.10/site-packages (from torch) (10.3.2.106)\n", + "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in ./.venv/lib/python3.10/site-packages (from torch) (11.4.5.107)\n", + "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in ./.venv/lib/python3.10/site-packages (from torch) (12.1.0.106)\n", + "Requirement already satisfied: nvidia-nccl-cu12==2.20.5 in ./.venv/lib/python3.10/site-packages (from torch) (2.20.5)\n", + "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in ./.venv/lib/python3.10/site-packages (from torch) (12.1.105)\n", + "Requirement already satisfied: triton==3.0.0 in ./.venv/lib/python3.10/site-packages (from torch) (3.0.0)\n", + "Requirement already satisfied: nvidia-nvjitlink-cu12 in ./.venv/lib/python3.10/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch) (12.6.68)\n", + "Requirement already satisfied: numpy in ./.venv/lib/python3.10/site-packages (from torchvision) (2.1.1)\n", + "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in ./.venv/lib/python3.10/site-packages (from torchvision) (10.4.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in ./.venv/lib/python3.10/site-packages (from jinja2->torch) (2.1.5)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in ./.venv/lib/python3.10/site-packages (from sympy->torch) (1.3.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install torch torchvision torchaudio" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "4137.26s - pydevd: Sending message related to process being replaced timed-out after 5 seconds\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n", + "Requirement already satisfied: matplotlib in ./.venv/lib/python3.10/site-packages (3.9.2)\n", + "Requirement already satisfied: contourpy>=1.0.1 in ./.venv/lib/python3.10/site-packages (from matplotlib) (1.3.0)\n", + "Requirement already satisfied: cycler>=0.10 in ./.venv/lib/python3.10/site-packages (from matplotlib) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in ./.venv/lib/python3.10/site-packages (from matplotlib) (4.54.1)\n", + "Requirement already satisfied: kiwisolver>=1.3.1 in ./.venv/lib/python3.10/site-packages (from matplotlib) (1.4.7)\n", + "Requirement already satisfied: numpy>=1.23 in ./.venv/lib/python3.10/site-packages (from matplotlib) (2.1.1)\n", + "Requirement already satisfied: packaging>=20.0 in ./.venv/lib/python3.10/site-packages (from matplotlib) (24.1)\n", + "Requirement already satisfied: pillow>=8 in ./.venv/lib/python3.10/site-packages (from matplotlib) (10.4.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in ./.venv/lib/python3.10/site-packages (from matplotlib) (3.1.4)\n", + "Requirement already satisfied: python-dateutil>=2.7 in ./.venv/lib/python3.10/site-packages (from matplotlib) (2.9.0.post0)\n", + "Requirement already satisfied: six>=1.5 in ./.venv/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "4143.25s - pydevd: Sending message related to process being replaced timed-out after 5 seconds\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n", + "Requirement already satisfied: opencv-python in ./.venv/lib/python3.10/site-packages (4.10.0.84)\n", + "Requirement already satisfied: numpy>=1.21.2 in ./.venv/lib/python3.10/site-packages (from opencv-python) (2.1.1)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install opencv-python" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import torchvision\n", + "import torch.nn as nn\n", + "import torch.nn.functional as F\n", + "from torchvision import transforms,models,datasets\n", + "from torch import optim\n", + "from torch.utils.data import DataLoader,Dataset\n", + "from glob import glob\n" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "device = 'cuda' if torch.cuda.is_available() else 'cpu'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 定义数据集" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 安装pycocotools" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "4173.72s - pydevd: Sending message related to process being replaced timed-out after 5 seconds\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n", + "Requirement already satisfied: pycocotools in ./.venv/lib/python3.10/site-packages (2.0.8)\n", + "Requirement already satisfied: matplotlib>=2.1.0 in ./.venv/lib/python3.10/site-packages (from pycocotools) (3.9.2)\n", + "Requirement already satisfied: numpy in ./.venv/lib/python3.10/site-packages (from pycocotools) (2.1.1)\n", + "Requirement already satisfied: contourpy>=1.0.1 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (1.3.0)\n", + "Requirement already satisfied: cycler>=0.10 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (4.54.1)\n", + "Requirement already satisfied: kiwisolver>=1.3.1 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (1.4.7)\n", + "Requirement already satisfied: packaging>=20.0 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (24.1)\n", + "Requirement already satisfied: pillow>=8 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (10.4.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (3.1.4)\n", + "Requirement already satisfied: python-dateutil>=2.7 in ./.venv/lib/python3.10/site-packages (from matplotlib>=2.1.0->pycocotools) (2.9.0.post0)\n", + "Requirement already satisfied: six>=1.5 in ./.venv/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib>=2.1.0->pycocotools) (1.16.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install pycocotools" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "from pycocotools.coco import COCO" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 测试dataset/instances_default.json" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading annotations into memory...\n", + "Done (t=0.02s)\n", + "creating index...\n", + "index created!\n" + ] + } + ], + "source": [ + "cocoJson = COCO(\"./dataset/instances_default.json\")" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{1: {'id': 1,\n", + " 'width': 2448,\n", + " 'height': 3264,\n", + " 'file_name': 'Birjand University Mobile Palmprint Database (BMPD)/001/001_F_L_30.JPG',\n", + " 'license': 0,\n", + " 'flickr_url': '',\n", + " 'coco_url': '',\n", + " 'date_captured': 0},\n", + " 2: {'id': 2,\n", + " 'width': 2448,\n", + " 'height': 3264,\n", + " 'file_name': 'Birjand University Mobile Palmprint Database (BMPD)/001/001_F_L_31.JPG',\n", + " 'license': 0,\n", + " 'flickr_url': '',\n", + " 'coco_url': '',\n", + " 'date_captured': 0},\n", + " 3: {'id': 3,\n", + " 'width': 2448,\n", + " 'height': 3264,\n", + " 'file_name': 'Birjand University Mobile Palmprint Database (BMPD)/001/001_F_L_32.JPG',\n", + " 'license': 0,\n", + " 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[ + "pattern = r'^.*/(\\d+)[^/]+_(R|L)_\\d+.*$'\n" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [], + "source": [ + "file_name_sample = \"Birjand University Mobile Palmprint Database (BMPD)/001/001_F_R_0.JPG\"\n", + "file_name_sample" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "('001', 'R')" + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "match = re.search(pattern=pattern,string=file_name_sample)\n", + "match.groups()" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "metadata": {}, + "outputs": [], + "source": [ + "def find_cls(image_name)->str:\n", + " match = re.search(pattern=pattern,string=image_name)\n", + " id,h = match.groups()\n", + " return id + h" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "metadata": {}, + "outputs": [ + { + "name": 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"041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041L\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n", + "041R\n" + ] + } + ], + "source": [ + "# 找出所有分类\n", + " \n", + "for id,ann in anns.items():\n", + " img_id = int(ann[\"image_id\"])\n", + " try:\n", + " img = imgs[img_id]\n", + " except Exception as e:\n", + " print(\"无法找到\",img_id)\n", + " raise e\n", + " target = find_cls(image_name=img[\"file_name\"])\n", + " print(target)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# 定义数据集\n", + "class PalmPrints(Dataset):\n", + " def __init__(self,json:str):\n", + " self.images = COCO(json).imgs\n", + " def __getitem__(self, index) -> Any:\n", + " return super().__getitem__(index)\n", + " def __len__(self):\n", + " return len(self.images)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 定义获取数据函数" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "resnet_model = models.resnet18().to(device=device)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "ResNet(\n", + " (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n", + " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n", + " (layer1): Sequential(\n", + " (0): BasicBlock(\n", + " (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " (1): BasicBlock(\n", + " (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " )\n", + " (layer2): Sequential(\n", + " (0): BasicBlock(\n", + " (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (downsample): Sequential(\n", + " (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", + " (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " )\n", + " (1): BasicBlock(\n", + " (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " )\n", + " (layer3): Sequential(\n", + " (0): BasicBlock(\n", + " (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (downsample): Sequential(\n", + " (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", + " (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " )\n", + " (1): BasicBlock(\n", + " (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " )\n", + " (layer4): Sequential(\n", + " (0): BasicBlock(\n", + " (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (downsample): Sequential(\n", + " (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", + " (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " )\n", + " (1): BasicBlock(\n", + " (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " (relu): ReLU(inplace=True)\n", + " (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", + " (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", + " )\n", + " )\n", + " (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n", + " (fc): Linear(in_features=512, out_features=1000, bias=True)\n", + ")" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "resnet_model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 定义获取模型函数" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def get_model():\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 定义训练批次" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def train_batch():\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 定义准确度函数" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 训练" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}