{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":36363,"databundleVersionId":4050810,"sourceType":"competition"}],"dockerImageVersionId":30684,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\n# import numpy as np # linear algebra\n# import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# # Input data files are available in the read-only \"../input/\" directory\n# # For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\n# import os\n# for dirname, _, filenames in os.walk('/kaggle/input/rsna-2022-cervical-spine-fracture-detection'):\n#     for filename in filenames:\n#         print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-04-18T05:10:31.133608Z","iopub.execute_input":"2024-04-18T05:10:31.134047Z","iopub.status.idle":"2024-04-18T05:10:31.171131Z","shell.execute_reply.started":"2024-04-18T05:10:31.134016Z","shell.execute_reply":"2024-04-18T05:10:31.169955Z"},"trusted":true},"execution_count":1,"outputs":[]},{"cell_type":"code","source":"IS_LOCAL = False\nimport numpy as np\nimport pandas as pd\nfrom skimage.io import imread\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom glob import glob\n\nimport pydicom as dicom\n\nimport os","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:31.174012Z","iopub.execute_input":"2024-04-18T05:10:31.174373Z","iopub.status.idle":"2024-04-18T05:10:35.068055Z","shell.execute_reply.started":"2024-04-18T05:10:31.174344Z","shell.execute_reply":"2024-04-18T05:10:35.066661Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"code","source":"#Playing with files\nPATH=\"/kaggle/input/rsna-2022-cervical-spine-fracture-detection/train_images/\"\nnewpath = PATH+'1.2.826.0.1.3680043.17625/95.dcm'\nprint(newpath)\n","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.069715Z","iopub.execute_input":"2024-04-18T05:10:35.070426Z","iopub.status.idle":"2024-04-18T05:10:35.076824Z","shell.execute_reply.started":"2024-04-18T05:10:35.070384Z","shell.execute_reply":"2024-04-18T05:10:35.075984Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"/kaggle/input/rsna-2022-cervical-spine-fracture-detection/train_images/1.2.826.0.1.3680043.17625/95.dcm\n","output_type":"stream"}]},{"cell_type":"code","source":"#Get training Data Classifications\nmy_data = pd.read_csv('../input/rsna-2022-cervical-spine-fracture-detection/train.csv')\nprint(my_data.head())","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.079314Z","iopub.execute_input":"2024-04-18T05:10:35.079703Z","iopub.status.idle":"2024-04-18T05:10:35.117875Z","shell.execute_reply.started":"2024-04-18T05:10:35.079672Z","shell.execute_reply":"2024-04-18T05:10:35.116506Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stdout","text":"            StudyInstanceUID  patient_overall  C1  C2  C3  C4  C5  C6  C7\n0   1.2.826.0.1.3680043.6200                1   1   1   0   0   0   0   0\n1  1.2.826.0.1.3680043.27262                1   0   1   0   0   0   0   0\n2  1.2.826.0.1.3680043.21561                1   0   1   0   0   0   0   0\n3  1.2.826.0.1.3680043.12351                0   0   0   0   0   0   0   0\n4   1.2.826.0.1.3680043.1363                1   0   0   0   0   1   0   0\n","output_type":"stream"}]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def sort_key(file_name):\n    return int(file_name.split('.')[0])\n\nfile_list = os.listdir('/kaggle/input/rsna-2022-cervical-spine-fracture-detection/train_images/1.2.826.0.1.3680043.17625')\nsorted_file_list = sorted(file_list, key=sort_key)\n\nprint(sorted_file_list)","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.119426Z","iopub.execute_input":"2024-04-18T05:10:35.119914Z","iopub.status.idle":"2024-04-18T05:10:35.270078Z","shell.execute_reply.started":"2024-04-18T05:10:35.119856Z","shell.execute_reply":"2024-04-18T05:10:35.268819Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"['1.dcm', '2.dcm', '3.dcm', '4.dcm', '5.dcm', '6.dcm', '7.dcm', '8.dcm', '9.dcm', '10.dcm', '11.dcm', '12.dcm', '13.dcm', '14.dcm', '15.dcm', '16.dcm', '17.dcm', '18.dcm', '19.dcm', '20.dcm', '21.dcm', '22.dcm', '23.dcm', '24.dcm', '25.dcm', '26.dcm', '27.dcm', '28.dcm', '29.dcm', '30.dcm', '31.dcm', '32.dcm', '33.dcm', '34.dcm', '35.dcm', '36.dcm', '37.dcm', '38.dcm', '39.dcm', '40.dcm', '41.dcm', '42.dcm', '43.dcm', '44.dcm', '45.dcm', '46.dcm', '47.dcm', '48.dcm', '49.dcm', '50.dcm', '51.dcm', '52.dcm', '53.dcm', '54.dcm', '55.dcm', '56.dcm', '57.dcm', '58.dcm', '59.dcm', '60.dcm', '61.dcm', '62.dcm', '63.dcm', '64.dcm', '65.dcm', '66.dcm', '67.dcm', '68.dcm', '69.dcm', '70.dcm', '71.dcm', '72.dcm', '73.dcm', '74.dcm', '75.dcm', '76.dcm', '77.dcm', '78.dcm', '79.dcm', '80.dcm', '81.dcm', '82.dcm', '83.dcm', '84.dcm', '85.dcm', '86.dcm', '87.dcm', '88.dcm', '89.dcm', '90.dcm', '91.dcm', '92.dcm', '93.dcm', '94.dcm', '95.dcm', '96.dcm', '97.dcm', '98.dcm', '99.dcm', '100.dcm', '101.dcm', '102.dcm', '103.dcm', '104.dcm', '105.dcm', '106.dcm', '107.dcm', '108.dcm', '109.dcm', '110.dcm', '111.dcm', '112.dcm', '113.dcm', '114.dcm', '115.dcm', '116.dcm', '117.dcm', '118.dcm', '119.dcm', '120.dcm', '121.dcm', '122.dcm', '123.dcm', '124.dcm', '125.dcm', '126.dcm', '127.dcm', '128.dcm', '129.dcm', '130.dcm', '131.dcm', '132.dcm', '133.dcm', '134.dcm', '135.dcm', '136.dcm', '137.dcm', '138.dcm', '139.dcm', '140.dcm', '141.dcm', '142.dcm', '143.dcm', '144.dcm', '145.dcm', '146.dcm', '147.dcm', '148.dcm', '149.dcm', '150.dcm', '151.dcm', '152.dcm', '153.dcm', '154.dcm', '155.dcm', '156.dcm', '157.dcm', '158.dcm', '159.dcm', '160.dcm', '161.dcm', '162.dcm', '163.dcm', '164.dcm', '165.dcm', '166.dcm', '167.dcm', '168.dcm', '169.dcm', '170.dcm', '171.dcm', '172.dcm', '173.dcm', '174.dcm', '175.dcm', '176.dcm', '177.dcm', '178.dcm', '179.dcm', '180.dcm', '181.dcm', '182.dcm', '183.dcm', '184.dcm', '185.dcm', '186.dcm', '187.dcm', '188.dcm', '189.dcm', '190.dcm', '191.dcm', '192.dcm', '193.dcm', '194.dcm', '195.dcm', '196.dcm', '197.dcm', '198.dcm', '199.dcm', '200.dcm', '201.dcm', '202.dcm', '203.dcm', '204.dcm', '205.dcm', '206.dcm', '207.dcm', '208.dcm', '209.dcm', '210.dcm', '211.dcm', '212.dcm', '213.dcm', '214.dcm', '215.dcm', '216.dcm', '217.dcm', '218.dcm', '219.dcm', '220.dcm', '221.dcm', '222.dcm', '223.dcm', '224.dcm', '225.dcm', '226.dcm', '227.dcm', '228.dcm', '229.dcm', '230.dcm', '231.dcm', '232.dcm', '233.dcm', '234.dcm', '235.dcm', '236.dcm', '237.dcm', '238.dcm', '239.dcm']\n","output_type":"stream"}]},{"cell_type":"code","source":"#For Looking at Dicom data\nimport imageio","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.271778Z","iopub.execute_input":"2024-04-18T05:10:35.272214Z","iopub.status.idle":"2024-04-18T05:10:35.277609Z","shell.execute_reply.started":"2024-04-18T05:10:35.272179Z","shell.execute_reply":"2024-04-18T05:10:35.276393Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Get metadata\nim = imageio.imread('/kaggle/input/rsna-2022-cervical-spine-fracture-detection/train_images/1.2.826.0.1.3680043.17625/95.dcm')\nprint(\"Meta information of the image:\")\nfor key, value in im.meta.items():\n    print(f\"{key}: {value}\\n\")\n    ","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.279341Z","iopub.execute_input":"2024-04-18T05:10:35.279815Z","iopub.status.idle":"2024-04-18T05:10:35.318117Z","shell.execute_reply.started":"2024-04-18T05:10:35.279775Z","shell.execute_reply":"2024-04-18T05:10:35.316873Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"Meta information of the image:\nTransferSyntaxUID: 1.2.840.10008.1.2.1\n\nSOPInstanceUID: 1.2.826.0.1.3680043.17625.1.95\n\nContentDate: 20220727\n\nContentTime: 182653.608757 \n\nPatientName: 17625\n\nPatientID: 17625\n\nStudyInstanceUID: 1.2.826.0.1.3680043.17625\n\nSeriesInstanceUID: 1.2.826.0.1.3680043.17625.1\n\nInstanceNumber: 95\n\nImagePositionPatient: (-104.9, -25.9, -88.355)\n\nImageOrientationPatient: (1.0, 0.0, 0.0, 0.0, 1.0, 0.0)\n\nSamplesPerPixel: 1\n\nRows: 512\n\nColumns: 512\n\nPixelSpacing: (0.277344, 0.277344)\n\nBitsAllocated: 16\n\nBitsStored: 16\n\nHighBit: 15\n\nPixelRepresentation: 1\n\nRescaleIntercept: -1024.0\n\nRescaleSlope: 1.0\n\nPixelData: b'Data converted to numpy array, raw data removed to preserve memory'\n\nshape: (512, 512)\n\nsampling: (0.277344, 0.277344)\n\n","output_type":"stream"},{"name":"stderr","text":"/tmp/ipykernel_33/1888365733.py:2: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.\n  im = imageio.imread('/kaggle/input/rsna-2022-cervical-spine-fracture-detection/train_images/1.2.826.0.1.3680043.17625/95.dcm')\n","output_type":"stream"}]},{"cell_type":"code","source":"#Get intensity values (min, max)\n\nprint('Data type:',im.dtype)\nprint('Min. value:', im.min())\nprint('Max value:', im.max())","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.319347Z","iopub.execute_input":"2024-04-18T05:10:35.319806Z","iopub.status.idle":"2024-04-18T05:10:35.326636Z","shell.execute_reply.started":"2024-04-18T05:10:35.319766Z","shell.execute_reply":"2024-04-18T05:10:35.325837Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Data type: int16\nMin. value: -3024\nMax value: 1578\n","output_type":"stream"}]},{"cell_type":"code","source":"#Example of a CT image without contrast\nplt.imshow(im, cmap='gray' , vmin=-2000, vmax = 2000)\nplt.axis('off')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.327629Z","iopub.execute_input":"2024-04-18T05:10:35.327948Z","iopub.status.idle":"2024-04-18T05:10:35.555793Z","shell.execute_reply.started":"2024-04-18T05:10:35.32792Z","shell.execute_reply":"2024-04-18T05:10:35.554535Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"#Example of a CT image with contrast\nplt.imshow(im, cmap='gray', vmin=-200, vmax = 200)\nplt.axis('off')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.559541Z","iopub.execute_input":"2024-04-18T05:10:35.559941Z","iopub.status.idle":"2024-04-18T05:10:35.733301Z","shell.execute_reply.started":"2024-04-18T05:10:35.559909Z","shell.execute_reply":"2024-04-18T05:10:35.731695Z"},"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"patient = '1.2.826.0.1.3680043.17625'","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.735751Z","iopub.execute_input":"2024-04-18T05:10:35.736314Z","iopub.status.idle":"2024-04-18T05:10:35.740657Z","shell.execute_reply.started":"2024-04-18T05:10:35.736284Z","shell.execute_reply":"2024-04-18T05:10:35.739609Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"#start stacking CT Images\n\nim1 = imageio.imread(os.path.join(PATH, patient, '96.dcm'))\nim2 = imageio.imread(os.path.join(PATH, patient, '97.dcm'))\nim3 = imageio.imread(os.path.join(PATH, patient, '98.dcm'))\n# Stack images into a volume\nvol = np.stack([im1,im2,im3], axis=0)\nprint('Volume dimensions:', vol.shape)","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.741846Z","iopub.execute_input":"2024-04-18T05:10:35.742758Z","iopub.status.idle":"2024-04-18T05:10:35.792239Z","shell.execute_reply.started":"2024-04-18T05:10:35.742726Z","shell.execute_reply":"2024-04-18T05:10:35.791415Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stdout","text":"Volume dimensions: (3, 512, 512)\n","output_type":"stream"},{"name":"stderr","text":"/tmp/ipykernel_33/3555522712.py:3: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.\n  im1 = imageio.imread(os.path.join(PATH, patient, '96.dcm'))\n/tmp/ipykernel_33/3555522712.py:4: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.\n  im2 = imageio.imread(os.path.join(PATH, patient, '97.dcm'))\n/tmp/ipykernel_33/3555522712.py:5: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.\n  im3 = imageio.imread(os.path.join(PATH, patient, '98.dcm'))\n","output_type":"stream"}]},{"cell_type":"code","source":"vol = imageio.volread(os.path.join(PATH, patient), 'DICOM')\nprint(\"Meta information of the image:\")\nfor key, value in vol.meta.items():\n    print(f\"{key}: {value}\\n\")\n    \nprint('\\nShape of image array:', vol.shape)","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:35.793317Z","iopub.execute_input":"2024-04-18T05:10:35.794091Z","iopub.status.idle":"2024-04-18T05:10:38.981942Z","shell.execute_reply.started":"2024-04-18T05:10:35.79406Z","shell.execute_reply":"2024-04-18T05:10:38.980561Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"Reading DICOM (examining files): 1/239 files (0.412/239 files (5.0%22/239 files (9.2%30/239 files (12.638/239 files (15.948/239 files (20.158/239 files (24.366/239 files (27.675/239 files (31.485/239 files (35.695/239 files (39.7103/239 files (43.1%113/239 files (47.3%123/239 files (51.5%133/239 files (55.6%142/239 files (59.4%151/239 files (63.2%159/239 files (66.5%168/239 files (70.3%178/239 files (74.5%189/239 files (79.1%199/239 files (83.3%208/239 files (87.0%218/239 files (91.2%227/239 files (95.0%236/239 files (98.7%239/239 files (100.0%)\n  Found 1 correct series.\nReading DICOM (loading data): 63/239  (26.4%129/239  (54.0198/239  (82.8239/239  (100.0%)\nMeta information of the image:\nTransferSyntaxUID: 1.2.840.10008.1.2.1\n\nSOPInstanceUID: 1.2.826.0.1.3680043.17625.1.1\n\nContentDate: 20220727\n\nContentTime: 182644.336271 \n\nPatientName: 17625\n\nPatientID: 17625\n\nStudyInstanceUID: 1.2.826.0.1.3680043.17625\n\nSeriesInstanceUID: 1.2.826.0.1.3680043.17625.1\n\nInstanceNumber: 1\n\nImagePositionPatient: (-104.9, -25.9, -29.605)\n\nImageOrientationPatient: (1.0, 0.0, 0.0, 0.0, 1.0, 0.0)\n\nSamplesPerPixel: 1\n\nRows: 512\n\nColumns: 512\n\nPixelSpacing: (0.277344, 0.277344)\n\nBitsAllocated: 16\n\nBitsStored: 16\n\nHighBit: 15\n\nPixelRepresentation: 1\n\nRescaleIntercept: -1024.0\n\nRescaleSlope: 1.0\n\nPixelData: b'Deferred loading of pixel data'\n\nshape: (239, 512, 512)\n\nsampling: (0.625, 0.277344, 0.277344)\n\n\nShape of image array: (239, 512, 512)\n","output_type":"stream"}]},{"cell_type":"code","source":"#Now we can start to see the bigger picture\nfig, axes = plt.subplots(nrows=3, ncols=3)\n\n# Loop through subplots and draw image\nfor ii in range(3):\n    for jj in range(3):\n        index = ii * 3 + jj\n        if index < len(vol) // 20:\n            im = vol[index * 20]\n            #I added vmin and vmax to increase the contrast, which will make the spine clearer\n            axes[ii, jj].imshow(im, cmap='gray', vmin=-200, vmax = 200)\n            axes[ii, jj].axis('off')\n        else:\n            axes[ii, jj].axis('off')\n\n# Adjust layout to prevent overlapping","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:10:38.983396Z","iopub.execute_input":"2024-04-18T05:10:38.983857Z","iopub.status.idle":"2024-04-18T05:10:39.639477Z","shell.execute_reply.started":"2024-04-18T05:10:38.983816Z","shell.execute_reply":"2024-04-18T05:10:39.638125Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 9 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"import os\nimport matplotlib.pyplot as plt\nimport matplotlib.animation as animation\nimport pydicom\n\n# Define the directory containing the DICOM images\ndirectory_path = '/kaggle/input/rsna-2022-cervical-spine-fracture-detection/train_images/1.2.826.0.1.3680043.17625/'\n\n# List all DICOM files in the directory\ndicom_files = [os.path.join(directory_path, filename) for filename in os.listdir(directory_path) if filename.endswith('.dcm')]\n\n# Sort the DICOM files to ensure they are in the correct order\ndicom_files.sort()\n\n# Function to update the plot for each frame of the animation\ndef update(frame):\n    ax.clear()  # Clear previous frame\n    #ax.imshow(vol[frame], cmap='gray', vmin=0, vmax = 200 )  # Contrast to show only Spine\n    #ax.imshow(vol[frame], cmap='gray', vmin=-200, vmax = 200 )  # Contrast that amplifies spine\n    ax.imshow(vol[frame], cmap='gray' ) #Original Image\n    ax.axis('off')  # Turn off axis\n    ax.set_title(f'Frame {frame+1}')  # Set title for the frame\n\n# Create a Matplotlib figure and axis\nfig, ax = plt.subplots()\n\n# Create animation\nani = animation.FuncAnimation(fig, update, frames=len(dicom_files), interval=100)\n\n# Save the animation as a video\nani.save('myAnimation4.gif', writer='pillow', fps=30)\n\n# Show the animation (optional)\nplt.show()\n","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2024-04-18T05:10:39.640954Z","iopub.execute_input":"2024-04-18T05:10:39.641398Z","iopub.status.idle":"2024-04-18T05:11:08.794101Z","shell.execute_reply.started":"2024-04-18T05:10:39.641368Z","shell.execute_reply":"2024-04-18T05:11:08.792835Z"},"trusted":true},"execution_count":15,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAAYUAAAGbCAYAAAAr/4yjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9ebBtZ1nn/917n2Gf6d7kZgASE4gMQgghCWEInR9IC9ixIVEgCSitjdoKLYJ201W0JVaDU7d2Y3fbtnSrhVWK5YAyOZVDoa0oYodBCAgioIgkIcO998zj/v1x+7P2Zz1n3XBvcjPvt+rUOWfvtd71vs/7DN/n+w6rNxqNRpmUSZmUSZmUSUnSv68bMCmTMimTMin3nzIJCpMyKZMyKZPSlElQmJRJmZRJmZSmTILCpEzKpEzKpDRlEhQmZVImZVImpSmToDApkzIpkzIpTZkEhUmZlEmZlElpyiQoTMqkTMqkTEpTJkFhUiZlUiZlUpoyCQqTMimTMimT0pRJUJiUe6z8/M//fHq9XufP61//+vu6eaek/OVf/mVe/epX54lPfGIWFhZy/vnn57rrrsunPvWpfdf+zM/8TJ797GfnYQ97WGZnZ3PBBRfkFa94RT73uc/tu/bmm2/OK17xipx99tmZm5vLZZddll/7tV+7F3o0KQ/1MnVfN2BSHvzlTW96Uy644ILWZxdddNF91JpTW/7Tf/pPed/73pdrr702F198cW666ab8j//xP3LZZZfl/e9/f6ufH/rQh3LBBRfk6quvzumnn57Pfvaz+Zmf+Zn85m/+Zj7ykY/knHPOSZIcPXo0V155ZW6++ea89rWvzcMf/vD86q/+aq677rq87W1vyzd+4zfeV92dlIdCGU3KpNxD5a1vfesoyegv//IvT/ie9fX10e7u7j3YqlNb3ve+9402Nzdbn33qU58azc7Ojr7pm77py97/f//v/x0lGf3oj/5o89mP/diPjZKM/vAP/7D5bHd3d/TUpz519PCHP3zf8yZlUk5lmdBHk3KflT/6oz9Kr9fLL//yL+f7v//7c+6552Z+fj5Hjx7N7bffnte97nV50pOelMXFxRw4cCBXXXVVPvKRj3TW8au/+qt54xvfmHPPPTdLS0t5yUtekiNHjmRzczPf8z3fk7PPPjuLi4t5xStekc3NzX1t+cVf/MU85SlPydzcXA4dOpSXvvSl+fznP/9l+/DMZz4zMzMzrc8e+9jH5olPfGI+8YlPfNn7H/WoRyVJDh8+3Hz2J3/yJznrrLPyT//pP20+6/f7ue6663LTTTflj//4j79svZMyKXe1TOijSbnHy5EjR3Lrrbe2PjvzzDObv3/wB38wMzMzed3rXpfNzc3MzMzk4x//eN75znfm2muvzQUXXJCbb745/+t//a88+9nPzsc//vGGaqH86I/+aObm5vL6178+n/70p/OTP/mTmZ6eTr/fzx133JH/8B/+Q97//vfn53/+53PBBRfkB37gB5p7f/iHfzhveMMbct111+Xbv/3b86UvfSk/+ZM/mWc961n50Ic+lNNOO+2k+jsajXLzzTfniU98Yuf3t912W3Z3d/P3f//3edOb3pQk+Zqv+Zrm+83NzczNze27b35+Pklyww035HnPe95JtWlSJuWEy32dqkzKg7dAH3X9jEaj0Xvf+95RktFXfuVXjtbW1lr3bmxs7KORPvvZz45mZ2dHb3rTm5rPqOOiiy4abW1tNZ+/7GUvG/V6vdFVV13VquOKK64YPfKRj2z+/9znPjcaDAajH/7hH25d99GPfnQ0NTW17/MTKb/wC78wSjL6uZ/7uc7vZ2dnGzmcccYZo//+3/976/vv/u7vHvX7/dHnPve51ucvfelLR0lGr371q0+6TZMyKSdaJvTRpNzj5ad+6qfy+7//+60fl2/5lm/Zh4xnZ2fT7x9Tz93d3dx2221ZXFzMV33VV+WDH/zgvmd88zd/c6anp5v/n/70p2c0GuVbv/VbW9c9/elPz+c///ns7OwkSX7jN34je3t7ue6663Lrrbc2Pw9/+MPz2Mc+Nu9973tPqq9//dd/ne/6ru/KFVdckW/5lm/pvOZ3fud38tu//dv5L//lv+T888/P6upq6/tv//Zvz2AwyHXXXZc/+7M/y9/+7d/mR3/0R/OOd7wjSbK+vn5SbZqUSTmZMqGPJuUeL0972tNy+eWXH/f7ujIpSfb29vLf/tt/y//8n/8zn/3sZ7O7u9t8d8YZZ+y7/vzzz2/9f/DgwSTJeeedt+/zvb29HDlyJGeccUb+5m/+JqPRKI997GM72+ZA8+XKTTfdlH/+z/95Dh48mLe//e0ZDAad1z3nOc9Jklx11VW55pprctFFF2VxcTGvfvWrkyQXX3xxfumXfimvfOUr80/+yT9Jkjz84Q/Pf/2v/zWvetWrsri4eMJtmpRJOdkyCQqTcp+XLv78R37kR/KGN7wh3/qt35of/MEfzKFDh9Lv9/M93/M92dvb23f98Rzw8T4f/b+30O7t7aXX6+V3fud3Oq89UQd85MiRXHXVVTl8+HD+5E/+ZN+cx/HKox/96Fx66aV529ve1gSFJHnJS16Sq6++Oh/5yEeyu7ubyy67LH/0R3+UJHnc4x53QnVPyqTclTIJCpNyvyxvf/vb85znPCc/93M/1/r88OHDrUnqu1se/ehHZzQa5YILLrjLznZjYyMvfOEL86lPfSp/8Ad/kAsvvPCk7l9fX+9cETUzM5OnPvWpzf9/8Ad/kCR57nOfe5faOSmTciJlMqcwKffLMhgMGjRP+bVf+7V84QtfOKXPedGLXpTBYJA3vvGN+543Go1y22233en9u7u7uf766/Pnf/7n+bVf+7VcccUVndft7Ozkjjvu2Pf5Bz7wgXz0ox+9U3otSf7mb/4mb3nLW/KCF7xgkilMyj1aJpnCpNwvywte8IK86U1vyite8Yo885nPzEc/+tG87W1vy1d+5Vee0uc8+tGPzg/90A/l3//7f5/Pfe5z+fqv//osLS3ls5/9bN7xjnfkO77jO/K6173uuPf/23/7b/Pud787L3zhC3P77bfnF3/xF1vfv/zlL0+SrKys5Lzzzsv111/fHInx0Y9+NG9961tz8ODBvOENb2jdd+GFF+baa6/N+eefn89+9rP56Z/+6Rw6dChvectbTmn/J2VSapkEhUm5X5bv+77vy+rqan7pl34pv/Irv5LLLrssv/Vbv3WPnJn0+te/Po973OPyEz/xE3njG9+Y5NgE9fOf//xcffXVd3rvhz/84STJe97znrznPe/Z9z1BYX5+Pt/+7d+e9773vXn729+e9fX1nHPOOXnZy16W7//+7282sVGe/OQn561vfWtuvvnmnHnmmbnuuuvyxje+MWefffbd7/CkTMqdlN6o5syTMimTMimT8pAtkzmFSZmUSZmUSWnKJChMyqRMyqRMSlMmQWFSJmVSJmVSmjIJCpMyKZMyKZPSlElQmJRJmZRJmZSmTILCpEzKpEzKpDTlhPcp9Hq9e7IdkzIpX7YMBoN9B9xRnva0p+WRj3xkpqaOqfRoNMpoNGreCb23t5e9vb2MRqNMTU2l1+s1J6WORqP0+/30+/1MTU1lNBo15yvVc5Z6vV52d3ebe1jRPTU1lc985jP5i7/4i872ff7zn28d6jcpk3JflBPZgXDC+xQmQWFS7s2ysLCQpz3taen3+43uTU9Pt15cMxgMmgPt/DeFoMB3OHMXH6fhAFKdPr/5jO+5lsP0ajCiPR/+8IezsbHRevYHPvCBfcdmT8qk3JNlEhQm5X5ber1eFhcXGyV98pOfnIsuuij9fj87Ozvp9/tZWlpKr9drAgMIfjAYNPoI2p+ammr+toNO0mQBBAXqoe69vb3WMxwkfO/Ozk7L2fO+B2cTtMvZhts7Go2ajGF5ebkJQltbW/nEJz6RG2+8sXn+6urqCRnxpEzKiZZJUJiU+1V5zGMe07xScm5uLs961rNajttlenq6RflQ9vb2GvrHDpxgkux3wvx2VsF1g8Eg6+vr+4INz3VQoh7TUbS7Zhu0jzb1er1MTU1lMBg0AWY0GjXva9jd3W2yFoLPH//xHzfZxcrKSj7zmc+cmoGYlIdsmQSFSbnPCvpy2WWX5Su+4iuSJI985CMzNzfXcuhWP//N3ICdNNfglJN2APB13EswMKVDUJiamsrMzEw2NjayubnZ1EUdzB/wN8GhBiS+r9lMktb8g/u2t7eX7e3tVh+huRxs+H51dTU33XRTdnZ28vd///f50Ic+tE9mkzIpX65MgsKk3GtlYWEhBw4cSHLszWFf9VVfleTYazWTtByp0TSO1/y7kXhyLGswb18zCNM8fO7v6txCcsxZ7+3tNRkJ11D/1NRUU59pJzt/BxE7fq7zJHS/38/W1lbTV+YmfH+lpmqWZBqL59x444258cYbkxx718Ta2topH9tJefCUSVCYlHu0HDp0qHmhzDnnnNO8sAa0bD4eZ2c6xQ6Wz3CudpYUnG4Xb+85AYodLQWahr+TtLIOF+oaDAaNk+Z66sG5exLbAcp0F89zgCEjok5nMtRZJ609oe6A+OlPfzpf+MIXMhqN8vGPf7zz/Q2T8tAuk6AwKae0TE9PZzAY5PGPf3ye9KQnZTgc5vTTT9/ntDyZasolGU8Mmx6pzh/H2FWfUTb/u9TAULOL3d3dxoka3btd1IGTpt7p6ekmsNX5hC6ai9/Uubu7u285LLJhotzLVqtMyU4ISNPT09nd3W36RBmNRrn11luzsbGRG2+8MZ/4xCdadNWkPHTLJChMyt0uZ511Vk4//fQkx+YHzjvvvBa/XqkX/8bB4ZiNnk0nGanX5aDHm8itz6zZhqkbzzN4jgEnSzbjFUkU7u/KcGp24PYn4wBBINje3m45eV/vbMT3UWgfZTAYNIGkLpv13ARt/od/+Id86EMfat4md+utt564EkzKg6ZMgsKk3OXS7/fzvOc9L+ecc07OOOOM1vLLiuQpOCgvCTVKtgO246xUkoMCbaE+B4Ou/+vy1bqqyQHEAcl9cRvJKrquZ0LZ1BKoHRTP8lpk4H0Os7Ozxw04DmwOIC7uv8fHAbsG0dFolJtuuilf+MIX8od/+IeTieqHWJkEhUk54TIzM5OlpaUsLCzk677u6zI9PZ2FhYVGiVg6yQvmK3Vix5i0gwfFE6t2WEbqRsdJm0ra3t5uOVlnB0bcXZSSn0HxZK5prsFgkJ2dncZZcy3UzfEyGWdHMzMzjcP3fQ4EMzMzDWVU5Zek2V0N7eT+Qm0546kT9bTZffE8D/skfvu3fzsrKys5evTohGJ6kJdJUJiUL1se8YhH5JxzzsnDH/7wXHLJJdna2tpHzRAQPBmKU7SDrw65Im5PkNq526mzlp+6cbIg7y6Kh/qS9hyCs47p6elmLsDt828HqiQtft9I29SNJ4OnpqaaNnpS3LTQcDjM9vZ2kzkRNKamprK1tbXP0SMH+k+de3t7mZ2dze7ubouW4qgOt4t72P9geslU4F/91V/l5ptvzhe+8IV88YtfvBtaNSn31zIJCpPSWXDeX//1X59Dhw7lwIEDLUdvpwjarKt6TKuYDsI5shQVRzQajbKxsbGPzjDdYsqENuBAaUdXqcs3cYD+30HJ/cRJesLW8w6eGD7evEadT+HvOj/C357sJihwLRkGzyJ4+hr6MTMzs6/dtX0E8ZmZmSRpBVq3y+08cuRIbrnlluad086YJuWBXSZBYVJa5fTTT8/ZZ5+dr/u6r0uSDIfDJPtX3pij96oa1tvjICu33+/3MzMz01BAOJ/hcJjp6emsrq62HFidNzBnjzPjCAhz994f4KMnjjePYGdcswzq7OoTAY723BlFhgM+XvAydQYdZMqLfoDyXSd9836HpL2E18/penbSnrimbsuy0k8EpHe/+9255ZZbJktcHwRlEhQmJUnylKc8JYcOHcq5556bM888s4VyQZCmSqqDSNJCzUaaBBKcoakSVGt2djZTU1PZ3t5uHNjm5mampqb2LcX0Sh0c8M7OTsOpc+yDj4cwQja/jpPG+XmlVJ2ErXML3jPgYAKVMxgMsrm5mZ2dnaYt3qGM3HDuyA9kb+poenq6oYBoC891NubnmC7ie2c+3ktBcZuSNMHWk9jIxfs/9vb2ctNNN+Xv//7vc+utt+ZjH/vYySvhpNwvyiQoPITLcDjMmWeemZe85CVZWlpqnCOOy06wLo1M0kKQdSmkkSdzABSj24WFhcapeKJ0d3c36+vrSdIEAJ7Nc62WDlgbGxv7VuvgGO3coHx8f6WGuM5UGGiauRWcN9eSibATGsdeVwd5ZZCX3DqbcJD0XIv/Z2Kaa2sAq8+lfQ7sDpTO6hhbxs9trRmc6ajl5eW8+93vzu23394sPJiUB0aZBIWHYBkMBnnSk56Upz3tabngggsaQ2aYt7a2GrTtbADDBwWbe+c7JkST7AsWyXiSc3p6OtPT05mdnW3qot6dnZ1sb29nbW2tOfbB1I0nlk0lOWAxYVwnxXG6/E0Bnde+mg7ibwIEFA1O18s8awDl/q5i+SE3B1YHB5/0WgNJdez13Qw1iHuiurbPWcVoNGrJmudZLgQyZ5ZbW1v5/Oc/n7/6q7/Kxz72sX26MCn3zzIJCg+h0uv1cuGFF+biiy/OE57whBaV452529vbWV9fbxy1nWHSPhrC32P0OPfRaNRkHUb4w+EwCwsLmZmZaa41zQQttLOz09Av/tnY2Gg4d8912DGDkDnIri41rVkAk9hw5MdzgKaPCFTm4W0DXlXlz91O/q/Lc5mXcd/spGdmZpoJdhy90Tz1OuAQBKCoaL/nOBz03KfBYJCtra19q6/qHAsy86T4aDTKJz7xiXzsYx/LJz/5yRNyOpNy35VJUHgIlLm5uZx22mm59tprs7S0lOFw2ELMMzMzrc1kyTGUZ0QKWoTbdmZgZIoTSsZZwWAwyHA4bCaYCQY4Y3Pqyf5TQ3Gam5ub2draytbWVnOUNQ7bcwRef7+7u9vcg8PvKt7XgBOuu4t9nQtLQckckvEBdw4m/tvf007aZzqGvtRJaIJY0rY7T6rzLIK3aacKBur8UM1UPJfBPAMO3xmDQQIF/dnc3MzKykre/va35/Dhww09OCn3rzIJCg/ycvnll+e8887LYx7zmMbhzM/PN8tBp6enMz8/36T8DPXOzk7W1tayvr7eIHcmPLscOGifOvhsbm4uw+Ewc3NzmZ6ebjlD32dKp07iUt/29naTeWxubjZZwObmZvO5V0cZMTvIQXV41VClWqpj66Kc6Kv3HniC+ngByFnX3t5eEyxxtm4PQQoZOINxdtC1ZNbj6WAGFVX3a3CNJ6udwfH58WQEcPBKKagvrmMMP/WpT+Vzn/tcbrjhhk4ZTcp9VyZB4UFYZmZmct555+Wqq67K2Wef3fDyOOHhcNjsTIbGqU59d3c3q6urOXLkSEO/VPrAcwcUNkzNzMxkOBw2AYeD4iqKpXjXLquL/KyKbLe3t7OxsZGtra2sra1lbW1t3wt03CfTT/TDCNwI3fw4P17/b/rIk7XeV1BXMHlzH5PqvV4vm5ubmZmZadE7daKfwEh9yN07iwkSjEvdmGZZVioqGVNEUD5kP550JvA4Y9ze3m76wvyNg5I3K3ohA5nRTTfdlD/8wz/MF7/4xclO6ftJmQSFB1GZnZ3N4x//+Hzt135tzj333IaX92qcqampDIfDDIfDHDhwoHHadeno3t5e1tfXc/To0ayvrzfIHIqE641icRbz8/MtugiH46WWzhjscM1p27HNzs62JpkJEDjxlZWVrK6uZn19vZWBeKUR1zORDYKtHDpyqhOw3GsH3TWZbKe/vb3dyoZoDyuGdnd3MzMz08zhJMcCGDuR7ZSZ7IXfrwUHXVcbIS8CgYMQfeEzZ0S0mUA8OzvbAIQ6l8SckYOTl7zW/kNBTk9PZ319PZ///Ofz/ve/P5/5zGcmweE+Lifi7qe+7BWTcp+Xyy+/PE9+8pNzySWXNLw9aNo8uSd3zckn7fcI4DgdJLyyJBmjXpzC4uJilpaWMjs723KyFfHzLE9u+1iIZIwquX9ra6tx1AQZsg9Qp/vBfTg+lsb6bwcqL0Hl+aaueC4bypztgIZNmRD0+JtA4c16Gxsb6ff7mZ2dbfYy7O3ttSbfKZ7LoZ3sVka2Xl1EH5wNuE1d80E8pwYMxo2Mx3InOLBPhHdqIyOyVAd/5E/Qm56ezqMe9aicd955+chHPpLPfOYzzUuBJuX+WSaZwv24nHXWWXn5y1+eQ4cO5bTTTmsMv9/vZ3t7O5ubmy2HxzJQjHt6ero10cwYrq+vNwa9vr6eI0eONIbPM6gPaoS5CmcQyTirAElyaJ2djVFyMkbq8NNG3146Srs3Nzezvr6ejY2NrK2tNWvjPXnsbCEZT/4SVJJxADI9Zrl0zVfUa01Jud04yampqczNzWVtba0VUGZnZ1sT4jh3AgVHgPAsnDFZBNfihL0/oqvUDMkB1J95wQCBgIP6+v1+M+GcjN+il6QZu42Njezt7WVjY6P5m3GBckKn0NmVlZX88i//cr70pS91tn1S7rkyoY8eoGVxcTEXXXRRnvGMZ+T0009vTiwdDofNSg+QP44ah4KBV5SOg3CGYWPGSYNkOb8Iasc0EL+5PhmvRvLx2ThQI3Kjb1C25wAq1eSsZ2NjI6urq1leXm7olCQtR8S1tIl2OPPhnkpnERjtbJFzzSwoRtumeLysFhTuFU/OggimdRkxSJt6unZPmxpM0mpjRe/8T3vQCXacUx/7S1wcYJwN0M7l5eVmXJAb99U27Ozs5NZbb82f/dmf5cMf/nBWVlbujrlMykmUSVB4gJXBYJArr7wyj3nMY/LIRz6yZZg4aC919PJPHJdXviRpnToKlVB5YSN/I9+kzbnz2ytacNogXn9el4l6ZVJdLkndpkVoowPR5uZmDh8+nNXV1X1vMQNd2+E7A3FAMu1h/txUlIPY6P+tkPL5Q5Y3bYW/9zyBZV/nU5xFOaA6SznexDdtYtw87rTJq51YiIBc+IEy8twBdeLEPYfkSXnawZ6Tra2t1uoxU29ci0ymp6fzmc98Jh//+Mfzp3/6p/tWiU3KqS+ToPAAKo9//ONz/fXXt1Af9I0pGiaSK5Iz1eOVPHbE5pyrs8bpeA07BYfVNcHrAIDToHilj1fLVDRLXXbCXt/vYLG3t5fl5eUcPny4ud+Tlw5uOHqvxnEg8GcUUz5cR7Db3t7et8TUE/le349ca585A4pd5Q7izPU4cNS5A2c0NUAw5s5mnIGR/dnBdwUGT8Qjm7pklaynznWsr683iwKgkxwY0TGv8iIYvO1tb8snP/nJ/cYxKaesTILCA6CcccYZufzyy3PFFVdkfn5+H6ojAHgC1mjeaX/SXrmT7N9566BgKqMi2opSKyLFwHEofj8C12Hwdsr0jeL+1mDGc4yscapHjx7N6upqg1CtxgQW5GGUauRs3r0rE+KZrmt2drah8ViNRf2zs7Ot9loe1GGqit+eSKc/pro8MV/3XbgPDm4sSGDxAO1zoKvLe03zVLl7hREBgj7UifO9vb2sra3l6NGjzbyXdYEAyrXIfn19PTfccEPe//73T14Xeg+VSVC4H5eZmZksLi7mX/2rf5Wzzjqr4XFx/F4JUn+MBDHipPv1knYg1cgr5WCnWbOJysFj1KZXKDhMO3lTOPTB8w61D3aqTNB6HoK5kLW1tWZtvOcLKJWicj+RXw1ABDtnLvR7ZmYmCwsLzX3D4bC1estUlmk76qd9plK8hNb9cBD1kSBezso1DvAOCF7VNTc31/TRAcFZlecw3G7rQ82AKN61vbOzk5WVlWapM/NgpuqoiywMmd166635uZ/7uayurnYuz52Uu14mQeF+Wubm5vLyl788T33qU1tIjYljH3NgysZzAXUisSL/pI1+QaXOFjymOGqj3EqtOCjQXlNEdmY4EdMXlSox31+ziTpB7fkFVhFtbW1lZWWlQaO0j2c4IFp+pi+8U9gO1MHCtAsrvBgTkDj9db/4fzQatVYL0S4oGF/r/RnuP0GDManZAn0kIJDhMU5kdLSViWJnAZWuso4Y2dfneX6Kwv07OzsNneRNhuhjpcfoz9zcXD72sY/lbW972+TIjFNYTsTdT/Yp3Mvluc99bi699NJcfPHFrXXjyfhgueoUcFbmwu1Eq4M32jyekVeEiWPkzV/m4imek7Cz9kQ1deIoHCwIEvQD5+Xjl50leLKcNnpClAnf+nY2qCjPNTgg8r1l4FNdHQy4vk7qO9MBeVOfT1hlFVIdry56iT4TLOyAfZJppXYsdwdoByf325PJHseaXVoO5v99wCDPgZKiTp6DzGZmZpqlxd6zwrOxBeobDof5//6//y9nnnlmbrjhhvz+7//+cW1qUk5tmWQK91I599xzc+mll+Ybv/EbW5vEjMZN1/CdEba5cq73PZ5H4Hs76HqdU32jSmcVzgrsSAlWzk5cr9tR6Rzvm7CDqPMQtb2un+etra3lyJEjWVlZaR0KV4+D4G+vmTddMj09neFwuK9PcO9+RzLIugZUvuMFQsy1ENR5rp10rzc+OdYInABhqm93d7eVMdTsqcqGsTOIMA3n+SOe7WtNpTlIuW1cx7NNabktZDucgovOEdABCEmaMRkOh5mdnc329nZ+4Rd+IR/60IfyhS98IZNy18uEPrqflIsuuijf+73fm4MHDyZpO01z0BQ7/hoYjPS7JhkdAHDkFAeILkfvCVAcndExz/WKFDvIrjkPO04cCai3rnbC8dnpmf+vGQdOaG1trZl05tgOU3CWUZ2/8BwO6/Vdt7MSBxb6WFdPkb1AMeGEnTXRf2Tj7Iji84k8bl10mldMIT8HAwesCkA80W99Mn1oZ28ayRmZAzd0FaXOKxEMCBRQa7SDDM17bnq9Xm677ba8+c1vzsc//vFMyl0rk6BwH5fhcJjXv/71Offcc3Po0KGWIzAit9OlmCqpSLmm/kn3hCpOoHLFRnkEJZyQd8ziwCs9VJ0yn1GMQI9HLznYmYLpordosykgr5Da2dnJ+vp6s8GNo7e9rNROGyoIWTJZPxwOm+vqkReVkqNtOFUHkK2trYaGq/MyyTj4EWhohx0xMkHOnhjn2fD49IG2dq3Gok/0het4tjOXmj24XQRN5ArSr3s7PIZ1voLsqF4Lbead9QRA7OBLX/pS/vEf/zE/9mM/1izrnZQTL5OgcB+VmZmZXHLJJfn6r//6POEJT2gMHCdTFR0DM7XhpX51As9rw6nHKNDf2SGb4sFQvULITqGe3V85/hpgTJHYcdiRJ2OHVWknI176yfcUO1A7fNCqA5oDHN8xNvPz861n8bczCIICbTBqN12DPJCR+8Lvyv9zPyuX/Bza44lbO2dkaFRfbbPLMdth45xN2znIV5rICwK6Jsupo06Ou111ot/9tj5T7/F0l+d/4hOfyDvf+c586EMfmqxQOokyCQr3UfmX//Jf5uqrr+5M1Y0E65yAJwn530aatOcVMLx6n6kGX8t3GDvBoFIOXpaapOWwyWpMe9WMxRPm1dkbnbqNRqa0x07C9dkxOwswHVcpKDvEuq6e4Nf1DJ7tax1YPZFcV2MxKevxHAzG50N5k5hLF2XUNVfg62ubCM7WH/TP+wysQ3XM6E8FIbSJLI22gfTd3qq7FMbWY+RMpuq2AxS60+v18s53vjNvfetb98lwUrrLibj7yeqjU1R6vV7OPvvsfO3Xfm2e//znt9Zk+6XrXFsdVdJ+gQ1IztkF9zrbMOKr9Tht5/vRaLxqhPrsYHxdba9RPMbqM3Bcv8/ycfsqHdQlRweF2n8+q3RE/UHuzlL8DGdG9MnzKxQHCVNBHBfhDCpJs1IJGdvp+TpW21D8bMve7aiBPUkz+cyzvTrMczGuz3pVx7q20/J0BoTs3Q/PNzCG1kGPG89zIHLW6bGkTvpL8B8MBvm6r/u6jEaj/O7v/m5uuummffo0KSdfJpnCKSrPeMYz8prXvGbfBJ+NzA4IZ9F1Zo2dJ9+BpGpwSdp0Akbo72s24TN2aoaBYbPKpcvZJvvnNewgPVfCEdBbW1v7KA8HQcupOlmXSjHwvQ+iS8bO0kGUe0xFuDgweHWOg63nYOzwjbRNpZjyob1+65llUTPIOv7eEFhl4nsMCjzJ7vE2LdQ150Ff6BcUjSfJfR/1Iyf61TU5D0VaaTDajJxsPx5DX2fK781vfnPe//73Z1KOXyaZwr1Qpqam8rSnPS3f9m3f1lpxYaRmR9SFhhioiqT7/X4zAWxahGsxmor27Mzr0knag7FXNG4E1+VMu5x6DRis96+rZ5ALDtmro5gsdYZgp0ufTWvYORhJIju/Z9hzHPVv6gb1cpCbgyqFNkCXcJx0F1XCOHOP5cY4eTLZ+tC1rNgTwvTVc0+Md72P55l6qXKrGQ9y9PUc44HcLD+vKPIGOmeE7puzGGfVABZvtnNwQ1e8EY++vPKVr0y/388HPvCBzix0Uk6sTDKFu1HOPffcfP/3f38WFxebVTp2ltUpovik3RQ7H59MafRZ1+47uHC9HUCy/zgH2mIUyL044epQ/VwjRxdnJ0ma47bt1PkbBF+DklF1DaAOVnZ+dQ6Fv2tm4yBZ32cALw7Hb57c3DXt2NnZydzcXDMGzk5Go1FztITv41rLmDHwJi7ucT+6+p6kpRcOrB4b6vO8jOeLPEHuDIT7cL5M3PNyJwJRMj4or1JOtLsClFpqH9CB2pcaLL3ZzVnv9vZ2VlZW8gM/8AP5h3/4h33Pe6iXE3H3k6BwF8sjH/nIvPrVr8555523L+3voo3sIGpxim8aKGm/k5hrMIZKD5g6sCNxXebRcVR26jjvauwVeZpXNncPWjTy9mRsDSDJ+GC1rqyJNtmB2lmYArFzMH3j/ltWBGoCFZ+Zb7dMcKrMGfAZL9cxEjf6r46vOsDq8OiHJ4qd5flv/3advsb1IWsHRvP9zniYrEY29Nt65EUHyJj5HGeybhPFQdKn4boftAG5VFnw25ntYDDI5z//+fzET/xE/u7v/i6TMi6ToHAPlbPOOivf933flzPOOKO1PLMi6S7qBQW2ctshJ/tP7/T/RrE2cAzbQYM03EjY7emaf6D4mV6K6KBDn0yVcLgbxmlEbgdN31wHjr/OwdCe0Wh8cJpRrrMS6vVR4F1Zi5/trII30lnulYLq9/vNBjkCBe+7QF7etZ5k33ibUnEA4Vr6Zll1ZUaWQV02W6k799NtcGGuxLrIs6CEPK7W0bpirQa1quduV3X4PNtzXP7fNGHVAa659dZb8wM/8AOTN7ypTILCKS4HDhzIxRdfnGuvvTZnnnlmYwRdcwHmzJ1CGx1WJ8XnVnTvFvU9Dhr8rtQRqA6H0UVF1TYl7fcxULxc0P2lkF1A0SRjR87frjsZZ0GVvuAeZNflnHFClm3NZCyn+n8NEvSpayIXJ0MQhlt3MIMDN63iVVTIHd2o9Jevte44OHmBgKmZ6hSrbGg7svNRF8iDieQabA1gLDsHBa+W8xvdrJeeKzLdxTXUwSs8oa76/f6+RQ+u0/MpVZ79fj+33nprfuVXfiUf+chHsry8nId6mQSFU1j6/X5e+9rX5vLLL285JRwIyNCrNGy8duwVISftiUk7hyTN6h2OYsDgMWofLU1ddgz1FFWMzJOfNmTqMBqrdVd0bodXjd7PwHkQpOwkkLPbUINIzaJqm90m19XlVNx2P6+OO06aLAg0zeecoEodniews68yct+hXAgw9fRVsqRkPD9UA5NlXSecvVGtKwA4c0HOfpYn9quu8jw+83hYxy1v9NXZroEG7egaE1OFpkO9msmBo9/v54Mf/GB+4id+Yl9dD7UyCQqnqPDeg0svvbRR/C66xXxsdT5G6JW+6EKvdaIShccQbTxeAspnzgoqveRspgafpI2MMaJquG67jdAURaWGXLc3OhEguK8GCf73KZzU5WfV5+J0HAwqtVKpviT72lDbYfpoZmYmc3NzzYQsSy0pXsXD35afT1St2aLHv86Z1GBdqSFne6b9jLxd7GTtyOtxHw74pgPpo4NfPRvL2R6AyvLx3IaDZQUkfF7/ps1+rrOiG264IW95y1se0u+EngSFU1Dm5+fznd/5nbn88ss7U+ZKQVTEU7OBLlRXnXDlgY24Pcl2POOuyKwicoyEeYnqNCsFAZLEaD3ZaIPmWQ5c7gso09RI0p4890Q11/K3g57lWh1tDQrcUyfmPT61rdTpevf29pqX12xtbTUvreF6O336y+em8Xgu+xmS9utDaybjAGDHX0FADZDOgJwddiHzra2tltxoI2NfgVDX35509qQ7tJf10gDAYASQ4Hq90sjzE/SfoONzuqChAD98/pd/+Zd5y1ve8pB9R8MkKNyN0u8fW5b5Xd/1XbnssstaaMUoxcUycpAwQuW66nyqkVY+2RkEztJIy23jeea4uybmQI1QFkZyGBj0E5/X6+tyQveZ5ybtCcyug9moo65C8TwFzo9nm2N3v5FLlanrrZmCMyi+r8d6b29vt5atLi4utpaWev4HWbGyqeqFdYAAYR3pmlewzKxvdrZdCNoZidE9Y2pwUG0Ap+42GwRYv5G1A2DXajM7fo+jgZBBVRf1aZqKz3u9XvPO7HquEyAqST74wQ/mp37qp7K1tfWQo5MmQeEuln6/n2uuuSYvfOELWxkB32EQ9ZRJHIuvr5QKdeAgjZ7rBKSpjS7lraiXv6nPeyGq865Iz4ZcqZ/aflMHNvCa8XBSqFc+YdB1o5rRrdGz+XPaRJudoVUKqa7uqfQQ1/rHwZt28jfOnz0YGxsbLfkiB/puROvxcXsdrOgrY2G9cxA3sDCf7yyI8WYXuRF0v9/PxsZGcy+fkc1Yr/jeGazbdjywAwDwM5Chx6eLBnWW6ADtvnEsOW/cs94jJ1OmHl9kubW1ld/4jd/Iu971rodUYJgEhbtYXvjCF+alL31pi4dHyYy8feRBpXzs8Ktyg1q8wseBZnd3t+GrqccOneuMrmibnVrlwY3AMEKn+W6fEaknhkFiSZvWoC1ub82mKqVUg41l6KO7HQAolmnNkFwvTtHj5aDmsQVJ2oHQNgLAzMxMa28CY8xcQt0ISFsdCHB6DhqVz3cmw7jWCWbaimytB9YZ5ERwtl5yjee76gIBjxHBruotdXVlOB7fmvXWQ/mcKXbpBv3jXvslxtT7ZgzirBtkR7/0S7+U97znPXmolBNx95NjLlSmpqbywhe+MC960Yv27QAmxU/au4lt/F4JYQRMqY7AA+Sz5CtV0MXP2ynijCod4iDAkklz3HZAfI7Rue+uu15XHSx98CQfbYX6ob2mmpwduA0VATsQum+0AadiSs2cdg0cHlOCxnA4bNFCybGgUB0/2Rjj4+/dhq5x4XPkYlngFL1L3v3lXsuFsbHzrBsG+czUmpeA9nq9VlDzPIIDc82+GCejdAdxH6XOD3WiD5Umc38dRHZ3d5tjSNA/r2ByX6zbthePw0te8pL0er381m/91r6lyA/VMskUVF784hfnuuuuaxkhCmwDscLb8dpokvbplHb0dQOWeVe/U8EGWOVfEWKlYYzAjLhN9UA72LnTHiNkI11vnqPPbluVXc2a7Bxphx2Pg47Ru7lhvnM7zcnbKTngdDm2Kv8qVybV5+fn99FqyARHtbm52Qoazk7MybsPDgz1bXEEBl5PyRj7mkp9mE6qvDty8kGBjD9yqedBmRKzY/Wx37VfRvheVeXAQJ1e8orO1+zweLrvrNb6VvW16oRtj3re/va35x3veMc+eT3YyiRTOMHS6/WaDCHZf2KpU9ak/ZpLr7SxY+YeUIyRt43IpTrP6qj4286TNtaz+Y2QuhxZrbs6KTsGLxdkXf5oNF7hwfOQjekXCpQLR2r7QED3y1SUjzdw8DBFZefLvThR12PnUrM1OwociVdY1SCDTJw9bG5uNm8CMyLG0bmN7H5mfsJj2RW07Gzt9O2A6Rt0IDoKALEO1IzCOlF36Ft+3F9fAuWgYtthnmRzc7OlJ4CUiuRnZ2dbezxsD85MeR6AwYAHWTrweXGAdY7293q9fMM3fEM2Njbyu7/7uyfkOB/M5SGfKQwGg3zDN3xDXvSiF7UcY80GKkVih+FJxWT/Nn4Uv57dU8+MQbEr/5/sXx9u43ba62d7BVG9z1w69zmLsHOusiDLqBvmHPRqhsSzSf3tFMztO6DwnNoOt807aO2Ea7Bx1lQpHGcHXtuPgzUirTIm0K2srOTo0aPNBC+rfSqN6OfNzc1lbm6ueTe0gQAy89ES9dgI+u2d69XRV/rN1KDpSc9BMSaey0iOT2eSYdA/+sJ9dtAOSIwvwdRUXl215D7UQj0UU6RuD3qF7to+0MF3vvOdeec73/mgpZImmcIJlKuvvjrXX399KzW3k7EBGdlgfKSnnoy1o7XhGJliIBXN81wKBm7unTaaGrKDNYLzsz0ZWXeeup12yBiQKSM76opi3W76iNNip64zIQJWpb6cfTlTcHDj2eb3ncXRnxo0cRS1zaaZ/Dn1m6OnXWtra1lfX8/GxkY2Nzezvb3dBArTJaaDkrSWr9KuSm04sOJ4LQO31QHeS3w9FjUYHC9jNQiCwqsrzOr1lifjvrGx0RqnqiemL5GzZV3HAhlYx00TsRCCuk0Bck/NyshipqaOvaP7ZS97Wba3t/Pud797Xz8fKuUhGxQGg0GuvvrqXHvtta3U2umsHQzFTtCOMWkjFK8UoZgD9iSZ0Rn3OJuwQ+Y5/HY6DUebjDcs1UCDAdBft80vUHF/QVrcz/c2cn/OfRix+WivjKlZBnUa1dFOI3b315mG0bjpJv/dxY/zXC+BxWFVJ2XakDXzm5ubWV1dzerq6nEDEPeyaQr5rK6uZnNzM7OzsxkOh603uiXjQGU5WOc8bs5iHZDteC0/O3CoM8/X0D/qqBSlnb3b7P7ZNtwPPmPvB8+swAM5og8ec09uezKb51e9r9mu28q1vV4vL37xizMajfLbv/3bD9qM4c7KQ5I+6vWOrTogQ6j0hB1SpYBqAKG+5JhS1XNl7IQqn2/6ycHHxlRXFVHcNrevptLVOdaJSp5fqSQ7HTuKrqABuk/SWo2Dw3Ex9eTsh3od1OqcAg6qropB9n6m1bqiStdd5c5nzshmZmYahI+Mtra2srGxkdtuuy2HDx9uMgVnOHWM64S3y/T0dObn51t0EvLp9/sZDofNctjadyN0Z7WVrqnLTo3YrRMOKJaJswzLsoIjgwjPQxBcjeIrOKBeZ1s+asNZoukxApZX8VVQ5qwFOdhOkSVt+PVf//W8613vOiHK5YFSJvTRccoLX/jCBg0kbd452X+0Mb+NVisXmYw5YIwP5ayHjXmS1LSRC8+xY6xoty6RxdCNmCgODKBA/uf7akTV4VIsNwIR19Wg43JnVIKX4nJtpZCcfXjy2GNEULJDswNxoHJGUpGln4VcWNaL81lZWckdd9yRI0eOtBBp7XPVka5FBKPRKCsrK1ldXW2Cw/z8/L7xNzWILlhv7Tg9Bs4YaY9XdHU5C4Iv9TG+zpZMz3UFJmeIXS+Wqifr0g6oQC+VrVmv5+H4qWCki8qtWb7t0HTftddem52dnfzmb/7mPtk8mMtDKihMTU3lmmuuyYtf/OJ9QSBpBwA7I4pRF4ZpBO1gQL2gvLoCyc+tKa/RWHViRu0V8btP5t7dfgIXiK1OKrtd3GMDMxI3GuStXMjZVBzXWIZO92ubKd53gFM2zWEKwU7cyLG2uTp/y5a2IxtOn0W+XLO1tZWjR482GYJlZOfi7JIf0yPIperh5uZmI4P5+fmGUuKaOk4gc+88dt89B1J1tytz8uqlmhEbqXteylQbY+NxdwbQlWFXase26GM2KqByPyqNZV1y/7vmRZzFmCm4/vrrMz09nXe/+90PGSrpIRUUrrnmmnzTN31T8391wk4p7dRsGPw2+kPRjD6MoMyDGiHbiePIMIK645n72VFsmsv1VSdE+5z6dyHOSgWYjqr8a0WWpiXsDJ36e8OX20wbdnZ2srW11XrW1NRUs3SzOl3LwH23c/J42fl5YtvokEDnJZZkH/Pz80mOTRAzf7C+vt48y06ti7agVLrKjoZ+wOGvr6/n6NGjmZuby9LSUhYXF7O0tNTKNizzukzVdXvitlKP1SF6XJFTzaBov8eU/jlr8nh0PZvrasB2PW4DY+gMJNkfACiek7P+OxgjS8+d2Be89KUvzWg0yjvf+c48FMpDIij0+8fOMrruuuuSjM/f6VqeZ4dDsRHw44lIlM5UUJeT8AQgBuyJQ35YZ28jJUjwXgU7RT/LAep4jtSO20ZTUV1Fe7WdNqba3xoAuqghyy5pr2rie5Zker8HY1gzpEovME4VWVc+3HJygMAZzc7OZm5uLtvb281+hI2NjaytrbXW4HtMukoNAklaY1XvrQFrb2+voZToN3RWpcYq7UNQ9sYwgrYnlZGfx8d0kOdzaJeRfB3HrvGxTiVpHZ2StM8Us754DCk18BnlO8v08Rme/3JAd1vqWF133XUZjUZ5z3ves4+afbCVB31Q6Pf7ue666/LSl760+T/pRmlWYCNJ32Nkyn2VM67oPWmv/ffuWyNNJirhru9sqSZtrCdwepKP9iX7VyxxWB3LKGm7++HnGN3ZiVlGRnPIrC6hNWVFXUma5ao2OPpXUaFl4n7VLM8y8HLErj51BVOC2sLCQkMBmlaqDtz3u20OyF1o3HUcLyv1AXyj0XjjIHSXJ3CtV8l4VzqTsNRZMyz6TPsJyM6oPHYOVu4rWUmlqBxcuN+ggLZUeRlUuH/ug+kz22sNSp6L4aVJyM9tcNZIv7/pm74pU1NTecc73vGgDgwP+qAwMzPTTCo7Ra2pZKUMjOCrkfb7/WaFCAiWH763cjk4GEVXpE8xeq+I+nhZQDJ2/JyN70Bk1O4MgV2k3khnKqvSL56rwGHzv+v335ZdlTd1G2nyf302sqQd1FuDk50JyA9Hx7VeXkkbfTQI/eRETqicw4cPZ319PaPRqLUUtDpHSg08XXMI1osafF3v1NRUM7Y+foS2M3ZQJRW8OGBWHt5tdf+t13zvPlQ9s80wJ+Qg3tU+B+FkTHWxl8NjUqldAzLa5vG2Hds+bVteCcdx2kyMV6ryRS96UX7zN3+zNe/zYCsP6qCwsLCQ7/3e720ZgB27U9akTR/wPwUFT7oPmzPa8TV2aEYe0EduE8ceeHONDawGKV7PeTz6wc9ynzmaAXTuV0lWGqzSBw5QyAn6odJaNWOy3OqcTF2mikHTLtMC7qfHDGrEFIfb6jGv40KQc4CZmprKwsJCZmdnmyWnq6urWVlZyfr6ekPpVXqN+mk7Mqp0l8fY2R39qdkUmd3W1laGw2GTOUCzDQaDbGxstNC55ee2VHqJYrnWgGBZknXQn5qpuNRzhtBN2okuWjamqzxRbhnW8ac4QLm/1lfLJxnvCidDd/+9Aqzf7+c1r3lNfuqnfipra2t5MJYHbVBYWlrKq1/96jztaU9rpaxWJpTHewHssCqlZOebjPcQ1OWUFR36Hiu0KRau5XsykBrMkrEjqeu9cXDsGk6OBZokzbpvDlhz25xW1/Xr7r+zDDsyEKX7UDMZP8NGD+J2il+pIL8VrAYEr0+n1Al+y4zvjzce1I8zWFpaamUD29vbWV9f79yTQD2eq/ISZF/rftSgx5lKDsjIniWrXonFkQ1VP5GBx6QGPdNG1mm31Qf1cc3u7m5mZ2db4KDaCp/ZNroCntG9M2+P+fFW/viwQGdV7rN1i2J52Adgex4Tsh3quuyyy/Kv//W/ftC+2vNBuXltMBjk3/27f5fLLrusUX47IjvfmhmYrulyxlYulJh0087PBloRS0WAlYKhbhubOVTu7VqXzXsYqMOHgVW0Sj3m6rtKRdQ1NXd7qgNyP01J1WDmYxL8dq1q0BXhg5BrsOa5ztgqv9zlmOnH9PR0Hv7wh+fQoUMNbXTbbbfltttuyx133NE4er/oxX3lebzLgVIBiseOYlszEqe/p59+eh72sIflwIEDGQwGzYZJHFrXWNbgZAfIc6gDHUFn3EYAwGAwyHA4bA4DNHCoGXjV46pb1pkqyxpgKiAydeXndYEIg5KaaVgnvAG1S0+474Ybbsib3/zm49rN/bGciLt/0GUKBw8ezHd/93fn8ssvb6H7aoAYf+VLk/aGLitrdXiV30/aG8ns6GmL0aONs8sA6n3V2LxiiD6xtNM7NSsao292lJXDtxxoK86yHsPtax1UaY/T9i5kXnd9uz3ut4Mv/drY2OhcvWTqCmBQEX1F6LQlObY/YGFhobVM0aenWg8cqBycCBo80wG6OhmuqdSSgQCT3L1er5nr4D3R6CP1Oxia0qoZm4FQlbUdJwHa8wF7e8fON9ra2moWCTiY12yggiHqrnKr9E1XxmBZ1UMQk/17ZbrmyHiWs+SaUfB87+Pg58lPfnJe+9rX5md/9mezvLycB0t50AWFSy65JJdeemlrEjTZfw6N0+YaPa04KJ8dDd+BcF0nSmiuGWNEUWvgSMaTaji+LsPgfhs9xZlPDTh17TX1OeDYARg1JscoqDoHQHGQrcHFdIqpikq1Waag0LpCi2u9s9WyxpjruU4eQzsd11mz4Onp6SwsLDQonL6xDBXHTNsc+LoyU1MUdR+Edc+BrKvt1Le+vp61tbUcOHCgdeos15pO6UK5NVNDJuhk14Q77euaZ4DO8k577+K307dMnLkx3tYzt902UEEL9dK+mvW5n+4H7aqZAgHW42GdNiPw9Kc/PR/4wAfyvve9Lw+W8qAKCg972MPyspe9rBls7261c7fBUCrnamokaStgpZa60LaV088wSraysUHLJ1Im7c1C3FPnPoyGoI5cnNmAspO0gpnlVNE7/bZh23h9oJnpmcpb28icpdRU30buZxAUmJj0BKadt+k2lh7WHc4O2EbjUD4+4mFvby9ra2tNpkT7WZpazwjy2JnasgNynx3gu+a/PNfQ641XVO3u7jb0FRnc3NxcpqenGwqEfuJMnRUYnVsfDRgojIlXqSXjYyoo6Bhj40CCDlKfkTycvjNby7MGKQc2JoidLVgP6Wtd1Ze0j69nXqrKH130iiU/56UvfWn+5m/+JrfcckseDOVBM6fwqEc9Km94wxty5plntpyXEWF1xF1ozcj5yy1LtZEnaV1vtIfjwfmYB8Vh1rdrdaXiFVVRr9tto/H7Dvi70jK+rh47XMfcaMoUUTUevmclh5+NsZMRIKNKN/BZzWS6rucZnktwNoK8K3XotpKdDAbHXiJ08ODBLC4uZmtrK0eOHMnhw4fzpS99qckU2N/B8dB25i5dMjxecf+7PmN8FxYWctppp+W0005rUDntPu200zIzM5Pl5eXWXEOd50Eu1N3VLuRY9cGr2lxHMg4uztS7slcXB9JKl9V2dsnHK7d8vQMMgKurmA6kToMj+mV6CX0CEN188835j//xP+bv/u7vOp9xfykn4u4fFJnCOeeck+/+7u/OwYMHWzQM6Mro1t9VLtkKVimgpL0GOmm/AN4UAd8lbTrG/zugjEaj1hI/L101UjdCh9ulVOfslNjru+mHkVSVkbMGBzJnEKTytc92Al2vFPU4VOOvDqvOlxAQPSeD83Efa2bi901gzA7OpnVY5ouz5RWb1OO9Ajy3oucuEFHBgikU9M1B13UZYOzs7GR1dbVp68LCQnMtZ1oxIY2sDY4MSExdIi+eWecirNPOtvgxXWQg5KzDemek7yBhe3HGaZlZj7uCnWk9/u/1eq3l267P4+U66nyc5UPWA5A788wz85rXvCb/+T//53zxi1/MA7k8KILCYx7zmJxzzjn7NqEk49U4Pt0yaRuCMwM7cweQpPsEzMohYwxdTtmZgJ2KHUV19Emb/vGa+tr+pL2fwg7AVIZ5eqO36sD43+cwmQqxQZkaG43Gy0ztCJgEr4Gi8tvOeFyQq7MoTyjWDIg64d2dYXQZuZEvcjRYwOGyZJS+OiiYVjgeKq5yrlRJ154FPje95aXQBOG1tbUmoPvNYhT/X3WBQG/drRlzHSecp2XrLJLrTeEZlDl4mHKkrci4AhqPm/uGvhosWE/pr22jLpLAj3jfjXXR8mGzW5J8xVd8RR796EdPgsJ9XZ7xjGfkVa96VYtmGY1GLaS0ubnZGBCrJPjOp2DawH02kg2HYrRjZcYocKR2vpTqKGqdSfdSTTt+lLnLQKzwptLubJITp0fmUykfTwAnbTrKbeN3F5frQIiRWfZ2RDg5BxXv1EZG1YF6vbnHzH3GGW1ubrb4ZWSLfrDyCMrGe0eOHDnStMeb5XiWJ79piwO+xwyn2BVgDSAMeNgrgePyBHAy5vrRga6VPAZDjIU3i9EXo/+6CqcLdHQ58ToPwHde6MH3jHsXSKkZTEX6fEfgrPRVtQ/X4374N3rluazqL5Dhd37nd2Z7ezt/8Rd/kQdqeUAHhWc84xl55StfuY8aMdqwIVOcTrK5y06jKpiV2U7QSlUdEEgNB2elo+7q6KmDs49QRIzHtIiNwU4FJwWtUVGbg4mdRNI2FsuAzXCuwym1jdPOwdkFK6DqRj/6Y/lapv6/BiY7CMuUNtb+Ub8dn4NTr3eMSmKnKnVh8FBLu7u7rePQq7NzNlCpJRffY+fqoELbjJqdebkP1MP1NVNxUKZUWrC+W7oLOBgp10ybQEmhvXW3vrMU1+VsGdl2ZSrHA1m2IZ5Xnb6zGjv2KjP2y9SFB7b7Ktder5dXvOIV2dnZyQ033HDcsb8/lwdsUJidnc2Tn/zkHDx4sKUkFaWYn7cBoyB2MFaKapxd/xslWsntMI0UnYZWh2BnCgLmHQV2sPSLOtxW2oXzxNn2+/2GT63LQpERR18Y2fkZXW2uf49GowZ9cz30Hbw9xWNWg3Y1vpqFeQy5Hufh+RH3xTLyBGZ1NjgIjv/gZTe8e5lTUkHo6+vr+w7Hu7PiLMZjV4MZ/a7jYJ3a2NjIzMxMFhcXWxkgcnYmSXt5BjI0747e4Sj9PPSkZmMUMhjz8OginwHeagbqRQKsoOv1ei3d9zh3ycbf+9nof7VTgzPLpo6RsyFnZM6unMH1er2cccYZueyyy/LRj360CbIPpPKADQrf+I3fmOc+97nHRXteMVEds9cgJ9nnrH2P5xkwFjhLKwa/rSTVmVO60mk/y6mqOe66iqYaBp9bcR2oamYxGo0aw+NzkDwBpabm1Vi6UvdKMzgVrxSOHWBdjeRAxz04LWcj7ptlXVfX0N6qDzzTbanocGZmpkG7BIfqjDy+PNdys7zs3Gv7qJcD9+zcLDucEIGBAMaqpLW1tWYex6i8S99xjmRRDgQO3n5jn/tTj96u2asDP/pBHTyzToh7JZ3lW521A0HNghg/72+gDoMHz5v5/KN+v9/KJEx/1myTa5Lka77ma7KxsZFf+IVfyAOtPCCDwvXXX5+rrroqydgBVsdsB8XAmT+uqKpSRxUpOUWsu0aNZHhmXUZnh5S0dwuDpGgn8yHOOo5HFzmIUbi/PsfOqyJEqJ0qN9ruftQJedAjKM9zEm6nOe8uSqQ6LRtynUfhXgccr4Bx/aYQKrqlLXbU5uPZrUs9yMZOrGZNXc/mvhpYXeo4+i1ltc0+pI0sj2ck48MV2XBXnwMd6QDZhf4rRdaVmTp7OB5tVfdyoI+0YXp6OsPhsHlOF5hw5lH103rkwFqDIfKieDVc0t5Njb1bH3ieMx7b9t7eeOnr85///Kyvr+ftb397HkjlARcUzjrrrFx44YUtxaxKaxTjQIDyJe1jkpO2ojqo8F2SlgKDoFAor4yhLZW6qpO8NQupGYoVFcQCIjOCAt1YWf0sl5pVOeAYvdfshmL6zO2nn5xF5OWoFb273Tin2tYu+RAoLO/aLsur0nlGvH5GzUT4zkHAchsOhxkOh81Ld2q/rItJe6K0a0z8nQFGDX7VefP/6upqkvHk6traWhYWFjI3N5eFhYUsLy+3jno2DcL/ppPscL3Ywm2xHLmuts9Ou25yo8/odM0sKoXFONBeB2raV/UnGR9DX7NrZ0GVFeDZzuT9DIM32mW7sC0+8YlPzB/90R/l1ltvzQOlPKCCwnA4zPd+7/fm8Y9/fJL28dR2qDbKmgKbY+T/pK3UNhbXl4yVzMEEhbLygmgq9eR21FU41UG51KMUeH4NgO6TjcFGWZ21DcAZhR23U2nzwHa6oCTQlYMkbQb917kZByU7SDtrB0L/bG1ttRy/++Dx8eID0w84Q+sKrwalvcjK6HE4HLbe49wV3CjWObfL13tMHLTtjLjf2U+SzM3NZXf32NlIKysrGQ6HOXToUJaWlrKystICFNXRW9+QnXeLO0utVEkNUP7b2VcFB9RbMz/bdG2X21Gza+qoFJePhbeMKzip99Z+VJvh/gp+DLRGo1EuvPDCvOY1r8mP/MiPZGNjY59e3B/LAyoo/Lt/9+/y2Mc+Nkmbl7fDIfWz83VGYN7QitjlNCritwEbhdpgrOCmto4XRIxakjEi9iRhbbsdX1VeZ0au087bcuFvo0A7Ij83ab8hjQ13Nn5TR119Mwq1PH1dddiVa678sYNtTfNrUOe51GVaysFtbW0tg8Eghw4dytzcXPb29ppjJLa3t7O8vNzolVG3HZ8RuOeEjpcxuN3W4Vr8PDvL3d3dLC4uZmNjo7GHubm5zM3NNS8GolQ9pa04Rb+rwXLsWknnvjirxc64z0HemYT13ddU8OMsDJk60620poFi1TnL0PVzryksngFDQPGGU9rQdbLvhRdemNe97nX5oR/6oc7xvL+VB0xQuPDCC3Puuec2Tqeeetjr9VqTvxW9JGNksru726yS8Wsv+b7ymBXlWJn5vyIJoy3X4clpIyWKUYvb1Ov1mrekOThsbm62HLqX57oYPdW5FfpQ++30uAZDG2DlgPf2xpOgfoWkA17Xhi9nQ8jIY2cjrXKvaM5ydmDx/cjDdRhJJ2nOFPIbudjxjFOpS6Jpm5+DI3Jx33zd8YJBV9nb22v2LBw5ciRnnHFGZmZmmslw9NtnRVWgVGVhQGR5dMm6C2RY1hVpO6gjA9NMyMBou44Xz/B+gS6AQd01kPF5zWAMChxULGvagK15QyrPd5ZF9nHOOefk8Y9/fP76r//6hMf2vioPiLOPHvGIR+T7vu/7cvbZZ7cG1MplxGeukGJHbgO1k+xyOklbWRGXFbF+Rh11hYazCqOR6jCNyLiG1RrOUEij3T4ruNFbRS924NXRe3mggy7PqDwrKNqZW10AwPUYNRuU3C/vHq70Uq2n6mP9rDo4971mQnzH+LN3ZTgc5vTTT0+v18vKykpWVlaa9yN86Utfyi233JIjR440R2HY6dusGPeaTdTMCD2+s9LlOD2+8/PzOeecc3LgwIGcddZZOXToUEajUfPGOKPsLqqm6j/yN4JnbO2U/T33egFABU01c7OztmyqDjijwTFbh+tyWdsc8kMf6tyTgQ/X1qzBIM46U+lo+wHkfdttt+WNb3zjfbrj+UTc/QMiU3jKU56SM844I6PR+KhqGxQDzIDUCWMU1McWeBlc0j7HyMbgbKNrMrFyww4MXQpOcYpc6+E+ny3ktdz0sd8fb8V3HbXvRjDUTwBCLnaiFcHaaBxUnDpzL3X1+/3W+5H53hmQeXhz7q6fdhjx2TjdRgc6f16pDH6gdGrmZ/prbm6umTdg7wLZmXllO/yKni1TO6l6T50T6jJgf2bHyqqv7e3t3Hbbbc3+icFgkKWlpX3UXs1qabMDJTpT50pMe1Y6EL2szthzQtRRV2ZVPbAOd8nNSN9ZCH2qi0mqPG1rlgGgpB6GxzO69qXUrNWrq2jf6aefnksuueR+fwzG/T4oXHXVVfnWb/3W9Pv9ZqKsOiRKnYw0Fw5VZEM0UibgVER3PK6zy/nbsHmmEZ0Vu97jgFOvh6N1f3CSVrqkvefCbfV9drLsnnZ9FGcPRuFGQTzHRm107u+hkmjzYDBoHKoRYQ2odaksbajP4fMuVEhwtVy5xlmId4Oz1HMwGGRubq7py+bmZusZvp/xtMOzntYMAnns7e3tm+SkWB5dhQlmnsP8wdTUVHOa6uzsbGupch2fKl+PidtUx5TA6v+7HKJtCxkZ4VunbG9uUx13+wKus0yrk0a+znDcJ+ul22hZGVj62hoQ62kGlJe//OXZ3d3N7/3e7x13PO/rcr8OCvPz87nkkktajt3GVhFjdY4VVVXnkaSVMeAEjWBtBKBCnl0Dkw2Z0hWkavCoSNKoznWbJ0fhWP3ANfSlZkt8b4S7tbXVmqwD3VdEj3zdNsvFv/2+AV4yz7N9oFwNgK7DTiYZUyr0hbkHH79BPUauDu4GAU7rGXN0wga/vb2dlZWV5l3EyMZZ0Z05H7fZwcx6yDJSL26owbEGkkprGD2bztvZ2WnejDY7O9tMmBOAfK+pTqP1Kl8HN+9Utu4CMhhL9KlmUH6ebYJrnf06UzT4cIbN77ps233ic76rcreN84xKSZk1qBvbkI2DDfeS1T/taU/Ln/7pn+7bP3J/KffboDA7O5vv+I7vyJOe9KTmlYtWHCM0D1ayn4f0ygens74GpUv2DzDXG7nUDKWi0toO/vfqJzt5o0360jUhi0EbgVXl60qTbdiWXa0fFNWVileUacdEHzgN04aDzHzktMeZOs1B85nbZx1wvZWyQLbOrKgf+dEHryChP+jbYDDI+vp6CyiQPeBkjx492nL6lYZI2vMENRPC4Rwv8+wKKl1Zgx0r11fgsbm52ZKVqSHXbUDhIOvPqu45k66LGQyW6jyK54+s1y62eT/H9uZsvzIG1e4N8EzVej7PQdaAovogroUqdeDzZkrb5lOf+tS89rWvzZvf/ObW/pH7S7nfBoWDBw/mq7/6q1srUowM7Fjs6JzyJuN0L9m/cYs6cSSVc/UzKs9beXYHEdAS17lNVpoahI4XGBzUqKcilC55ePWTkTSUSBcvX3emkj1wEJw3Azm1duruCWMfDVFRrYOmjd3X7ezstI5fcADkegcnZOLsa2pqqoUekYUzDbfJf29ubmZ+fr45LptVa4uLi9nZ2WlW/lS9qbKsK3isS/TDf1dnRp/ddxcHZ5C60elwOMzc3FxrUty25GBTka4/sy14DsjjVh11tSVnhwZrtgc7Y8uN8XYwqbIxGKTtlmWlbn3khgOjM00DwRq067lKHi8vc2eH+vT0dJ71rGflZ3/2Z/OlL30p97dyv1x9xGqjRzziES3e0INhRavKS6oP6vTZ91auyuP7GpSjKibX4GTcpmTsyEGr1YFyvxWav43S+dxI2c4eR1oNkdKVmtesJRmn93bODsIYDTLvUhc+N7oieHQdOGh6gOs8dnUsuA+E72ugq/gOSsPZhI9QdtqPbEyX1XcRTE1NZX5+Pv1+v3nbWnLsCIqbb745t9xySw4fPtw67rnLidlpWm6myRjzLp32PT7i3M7Xpd/v55xzzsn555+fM888Mw972MOyt7eXL37xi02A3traah1PXikSO9xKk1mfKsDyvV0ZkPXBz+b6SvvVlU0V+VN3BU5+bp17q4tVTBk5SBq4uE/VjipoBMjwnUEKffzHf/zH/PiP//i9OvF8Iu7+fpkpPO95z8s555zTcoJ2EH7HABRL5Ve9fr862q7Brqipa+CtVFacirpwUuynoI5qNPTHvKtfY+hnGoWbs64rYHB8BEUrt2kh10tfnRZTTLdUSqlOqnO9J85djJySNCk3hg29YQOsCLqCARub+8Nv5AWf7AlZT5LSZtpi9Li3N94L0O/3s7Cw0AS0jY2NxomBXsmuTDnVCUfL11mj+1z7b0RddTYZv4eZsry8nFtuuaUZO07KpX9dJ6GSWVuOLEaopdqIAZKpOz7zESUOMMw7eUFDV+bE+DCxXutymwzobJcOYKZ3/LuLCuzaQ4Pe1Dkv2uEX8NAWnxR7/vnn57nPfe797tC8+11QeMxjHpPnPve5+6IzxZy66ZHqiDwJ6HTUCkKpNArPqbRMTYe5B2Oq1yX7IzPO0ysbyCwcYOpqJygfjLmmzjYYf1ZRJu3j/4pikvb7GmwYvrbKyquY6rtwqRsn7DaYq7VTq0jNgZ3xNeJ3EKlj49U51O122Dnyv3cD40yTNHMJu7u7zca2Lv3gmTUYdOkDY+Xs1fRFzWbrYgs7NdrDZP7q6mpOO+205kVT7G6Gy/Y+EQIaWVKlGJGrV+B4jGsw92fWI9tPDeqWZa2/ovHjgbYK+CxfxgYbAkB5+bczeMCd5W/6zKcKM04OHtgs99W5iuc+97n58z//83z605/O/aXcr4JCv9/PM57xjGbnLopgw3HqaB61OvCkfViWozlOONm/Gcv110J7vOLHSKTOM5g+Op5h2PBxjOYfK3fPWnl/5/bZQXYhKAcKG01Fq/QNesYTotVgcYB1d7jH1cHa7aQP29vbrT0Xx5us5B6vGHL7aRsGi6xA+Z4XQYcI6J5QNt3F3/Pz8625la6MkqytKzBWB87zPV4eU0+818yy6tP29nZztg5trqulNjc3MxwOMzMzk7W1tX2654UABgyWuYFHBQYGMR57BxE7T7IJZ7WWYwUtBnbWUYJ2nTdC32pgtl74OV3nedXMuraHLMc0IHbjzLZm7NjNwsJCrrjiivzt3/7tcf3OvV3uV0Hh2muvzdVXX938Xx1eTQMZGBTCRpN0T+q6VAXzOS1Ob1EYG4VXsBj9+81UPKO+OL46BG+ycV01NTWStUOwoVXqif9BnkyUOsvCQPxSExuLDbg6cwoGxfuwK+2BLM1h088uOsfBGRmZ3qr9r8jZhl7lXREo4+P3J3Dv6upq1tfXMz09nYWFhcbJ4YTtXOmP214phUqBeRGB5Ul7Pe585v5ZN5wV817qXq+X1dXVHDp0qAl2TDrzvgVP5nu8aV+lUKr8aj897v6uBhEyTAdKB2QDqqrbBoZkPZWeRa7OvriXwI5j5zu/xrOudPKBgsjGtu5MxJSig7iBB+18wQtekLW1tfz6r/967g/lfhMUTjvttFx00UWtgUBZ6mYRBGtEwmCgQJ6M9SQTCuFjFlwX9Sftdx1YsT1xWVPX+rcV2sGlK2Pw8jY7QHOfdSLY/a9o1E7D/DjfmRYAWdtY6tyMr7fjJsgQKLuQHX2uGYd3U9uI7UT4u6Is5iBmZ2dbx5m7/171xBh6+SFjbufnoGcOOxnPg1CP9YKxNG+M/Gkz/fAKLdpjAFDpzzs7Mhw5m4b0RP/6+npWV1czGAxaGQz9r3KvlM7x5uMoth8cOs+yXHkm/YS2qYGAeqpjxaYNopCl22VU7j6ReaI3dYzQI4//7u5uNjY2WrQSuuM66Sefcw7bcDhsLV5wAHK55JJL8t73vje33377vu/u7XK/CQpXXHFFHv/4x7cGsyojwrchGTWajnFEdyDZ2xtv7AHx2XH5ZTP8+OAr74rkOUmbn+f/pL3SyPRIsn8bv5XZyNxKiHJ1paJ2TDUw8Qy/wId2sKqG9nnllmmU6pDoJ/MJPjgOI3Gw9Tg5OJiO43+ut1PpogEYA9rl7+3kHZiqvPi/jmMN+D5UjgDuoGC0b6fp8eX/+rcdu7MVdOF4ma6zJQc6AlaSrK+v5+abb8729nYOHjyY4XDYCuzJmGZxtuzgWbMzB96aSUBbGYAYGJEhMNY+rBHbx0atOzjmOjY+TqXSb9CxdfLcwKPXO3beFf7DJyfUcTbIdFabpOmL7YaMjQDh/Qz2AxdffHGe/exn5x3veMe+cb63y/0iKJx55pl58Ytf3KAGIwyvAU66zy+pmYANu6atlbqgDl/jzVM4YerxPUYyfvbxHE0XlWFHYsqoZiiVLrCR2on4+5pNVW7Xig7i4nrmLihkVp5j8DJQO06jtqmpqWxubna+5KXSKTZ+gr+DsxEi8nKW5bki5F/nlZzOmw6pY2BHTUAH9TE+vJLTzpJS0Tb9JtP0db628vWu2wHHKNhj5Pasr69nY2Mjw+Gw0WPOQRoMBs2+BY+Jg151Xg6q9XPuZTzJAH20Cb8N+AyW6IPpGAdP+lf3FRh4OfO2bL2IARAzGo2aMfS7DmyT7heyR7+3t7ezurra7P2w/jpLxp48ns408XHf8i3fkve973255ZZbcl+W+0VQeNKTnpQzzjijZUTVsduR2aHaoVdHWDlGPrPzhE+v/CCFwad44KuiVH6R1JJ+dU2yOlU1teTNWpWGsGJVJOP+WVH9vduAkdaysbHRkkUNUMjC6MrXMflXjYPxwigcTCn03dckaQUpF2eIHnfTOJUPr7riwwIplvv09HTm5+czGAyytbXV0EkYNgHXdAWByFkW7bJTow6DITs4y4X+OWuroIB6qz6urq42mRw6RgAeDoctcFUBhutFt7ieYhrQWY+zwGrHBkkErvodOkWA6QrANdOqsrKuAghMlbptZL1eUVjnGTc3N5uTZz3ZXOloPt/b22vmp/A7w+GwxU6cffbZeeYzn5l3vvOdnXp+b5X7PChceeWV+eZv/uasr683xmJH0OX8jeSS/Usy7WytoBQrJQNKsRE5APGdMxYbjAMV/1d6yFQD/aiO3G2gb1YyBxErnvlqX2eqjSAF6qr0iJ1LpcKM5GqWYofalW5XCszzJUn7fdFQGDgAn01F21y/g773ajiAmvZBNna+RrG0z3VPTU01qf9oNMrRo0eztrbWyMenpFYHhC5VgFKPdOhCsaZf6hh7nK3XfobROCvaaKuDaF2DX+XlgIZMq/7zHC/4sK3YPmvw5Rrs1BRNda4eP9sq83A4etubs0x03/N0tkvAWbVlz/ltbGw0ciQIeFzcb9fhpc4ee2Q9NTWV1772tRmNRnnXu96V+6rcp0FhOBzmqU99aubn51uDYYNM2nSIlbA6ZQbaxmODQlGcXtqIjI5M4bhNRhX+zplBFwIxAuoyqEqFGM3TP8uEz5L2ew8cNKyclXqxoSbtM5CSMVeL7OgvBsexD9TLMr+pqalsbW1lY2Ojhey7nIEzukpVOAvifjIt7z5N0kwy1yBhcOAxq5lVlwPymNNGjqM25TIatTcp0VacVAUzrq8rM2UsakbjMfJ4O7B11eX+DAaDrK6uNhQS9UMFEoy8wc867V3A1kPk5z4ZFNHfmjmi7+iax8cZnm0NwMjxKRXNkwHULNt0p2ld243tvdJ4e3t7DQ1aV/9RF8/0XKgPhERGq6urWV5ebsAPQQK7uvzyy/N7v/d7WV9fP+543pPlPg0KF198ca644opGGDZgc49EUjtV871WyBp9K9pK2qsocEZWRg9qTXdpR9JeomeDMXKwUnLkMn2yITvTMLq3PECxbo+DG+2Cy+W4Z66pyoxB1XS8Bh/fQ3srh0t9NZjRNxt8XYHl5b6W/e7uePUTY0zwoU7qqxvJTHPgDIx+7Zi8CKFSk8hubW2t5Sx4+5oXMfh63vFsOXRlgBW8cJ0pHH9XKRna7UysKziAkJeXl3P66adnaWmpNX/nORyPhzMtxstZhufV7LStU12Bwvbm76ampppTaZPxGwN9b73Pgcb+ovoKSg3+tgOfWcZvqEH6aZvEh1gGDjD+ztm2A7HllCQXXXRRnvzkJ+f973//vnG8N8p9FhRmZ2fz0pe+tEU9mL5I2lHaRsLg25CT7iMB7JCM2FAckEWS1oRyV1ru35UusnO2U6egWFxnWoV6ncYbzaKAKKEVqU42us9GdVZWUzEbGxv76AIbHtfRVgrt9MoPzwNYrh67ehQD/fL97g99cmDg+zqn0TVJixwMACxjULGpDWeUzjA46pjANBwOMzs723JcnuylDeaoTWPUDLIrSFeaxY7OdCDP8moh+kido9GxHc5HjhzJ4uJi0yZTY4xfpVTQz7rRD/1zAPQYWqf9ede1yM/64oCLXlJvtbkKbvr9fpO1WrcqRdoF/GgjNsNmUmTgRRv1hyWsBn9mHugXst7d3c3q6moztltbW7nmmmvywQ9+cB+9fW+U+ywoPPaxj83555/fSt+SsWJbeTyh5e8YSITtc4NsDNxH/ZWndMbBdRgdbTACQ5HqO4wxbLfXTobloCizHYGRMkvbaIMdDHV2ZTlGcjYw+owzq87XsndANYWC8/QPpe5PsEOyk7GcKp3nPpgKqs/yuFEAFnaGpowqt+43p9UAZIfEPZwSC22EI+cIDLIInIABA2PZdWw4GYWdsMegZk5GnjV7c989BlXvTQvNz8839eK0uMcImrZaTxkDZy2+ztdWatRjyLMBF94U6msYR2RbgVelbPlZX1/P3t5e6ywqy9mZNyABFE/2lKRZXOAMwn2xrdpuDKxqtmQwUAHXoUOH8qhHPSqf+tSncm+X+ywovOxlL0vS5rYrQnfAqGgo2b/D0oZV6Q4jiZp2egej+eqaMlvpzJfSLqe3NXtJ9q+SMLXh+6sM7LRtWF5H7kBhx+bACTI1KvYSxGrwPHdmZqaV6bhf1fFS7KjdP2RYZeFliV0ZY3U8zmy4tlIEptz8OX2rdEYNvrXgWMgoPVZ1Q5Xr89i4HbSB4J3sf88H/a1otoIl18c91huC4OzsbObn5zM3N5fhcJj19fVm0txZqQOTaS5n04AF6Lsqx5rZ1jGy7lqvauZr2pX+ECA8/4KMCcYENXTLWUu1z62trWZTG2PiyWjrbM1QXJy10D6PvdkB2oysTPPOzs7mmmuuyY//+I936uI9We6ToPC85z2vyRI8OI6w1TBrpO3aPJa06RMj/DowLnY4rsOrYmrgAUmhJA4+dYOYEZdRWV2p4V3WpkpQJJSd/tZ+1XQ4Ga8ksbLXt30hS8vBTm93d7f1RrWua+083FeM2mgIlOdrTf3gJOs8U50Yt0OuNMv09HTnOCAbT1w7GFWn5Y2LtGl6ero54mJlZaW1YcmBmQCCM/emw6pD9L22pysI0zYHgkqjGMk6mECFeF7HTspZHJmwaZLqvGtGVucb+LEMTKdQl++tYIJAaduj387ATNfQLk+eG/lbvzc2NrK+vt66Dz3EPmiHMxi3qWbHXaCjS89sAwQ66K4zzzwzV155Zf70T/8092a514PC0tJSLr300ub4YQYBx+Sswc7WymH+ORkjRfOrKLrRtNETSoQyepLZSmnnU9GY6Q8HBxSAdNjtNT1FXWQoKJF/29hRpkqhdSGWaux2/E6hK5qz3G0ENRjUwHq89wuzvt/GUrlzt8l0gFNyKBicdHVANkTG07tz3Qc7M+pj3BwEeH4ddyNH2lmpHByw58ycefE5K0+gLkzBue38bYqKcSXAo/fOVE2zMDnOGnvmFfjMsnS2Zvv0UuaqO5YzztSUKfcbICBjzz/Z5gnEtgfsazA4tgHP9gfNw05it4tNfObpt7e3m4BQJ95Ho1GzigxbRo4ACzt1H5HuAG/dMiBxgGVy3UBzc3Mzj3zkI/PBD37wXn11570eFM4+++xcfvnlSfZvzTeaqxRC5eq4nu8qkkCwXq4IUgMxJ+N0vTqOLmfq59YIXzfLQLeAyviNQpu2qegE5UOJUHLkVc9G4ndX6m0nbuMxinG7jMRqNtBVZxfVYiSM0zCiwsk7kPqEVTv9ikIdPBxAaxaD/DFKKCqeX/XK99UMxjrHGFjnTGPyLOTtAOMxqnMqZDZV9t4ESF93d4+tlbeuehxMDQJ8CB48G53E5tbX11uy4b5Kkzg4Wpc9kWp5VcBi6hPds03x42DmIGnwx7PqWNpWrds1q7eOGOTgk45nM4w5WYrt2D7NYMCT9DyD40YsV+yb5z7pSU/KH//xHz94g0Kv18v3fM/3NGmf6ZyK8pwO2kFggPUeK6GVqDo8fvt8FnOH1dk7beR+nu0VEMkYzYFq19bWmlTQjscK7rYm45QbuXRNQhIgQH7JOKAa2eJscAQ19advGD9yZFzM1/o+nuf28z3f0Vef3e9U3P0hEHpDkDcFMRagQorlbSc9NTXV7D525lMNu6b8rMbhJFm/PQ9HlaQJ8NxDRmK51x3S1NdFySTHnD+nsNrpoWPQjbSXMYMWcd/RBT7HhtwPkC/AiYBEW+tmP79MCFthnLwDvYKnjY2NlqwBCIx70j6nycHPThx/YD207XGvV6HV+RBkgj/hzC90CD+AHPwZn5MVeRUZtuXsx5mugaWzIOsAcmP86Pfe3l6uv/76vPnNb275pnuy3KtB4elPf3oOHTrUSo2rgzJiqMLBsBAgg2mHa+fN4MPVJ22emA1YdihJ+ziJruKsgvtIXdfW1rK2ttZyclYQ7ie4eYKOZ2IQTHyBKGxs3jjGOUU1UzLKszO1M6pUUQ0syMOotAZnIzQbrukH7iNAOBOanZ3dR8nZMRJM6vgwxoyhHQsB0dSOkSFGiU65TcjVe0XsqLw6hXYgT69esc45G+U0zunp6YaKgFLCsXvJNMd02xHxHBwbbUzSolsYK9MgBgogVvTXfL+BhWVg++U+Zz0UO8GK5p1V4Aesnw7inlQ2heaMGxl1nUfFvfQHudEmB1f7GsbOfsl9IcCT2Vs23IMfwE5rX5ATelQzLo5sv/DCC3PjjTfm3ij3WlCYmprKs5/97MzNze1z4qYIzJd7EIy4cDBE1ipc/20HYgSLI5mZmWkQGvVzJsnOzrHXLa6uru5bRVCfRQq+srKStbW1Zl2zFcoZCe3heI+KlpI0zmp7e7uFXr2agwCEAlG/J3NtzA4G1FGRGHW4Phu1KT/P83icMEzGvtfrtTjdynubC6/puukY15+MD+6rGZiN3OjdDpwgYSqPsTHlxHV+9s7OTjPR7HOiakbJfgbqQX4LCwvN/gA/0zrW6x3buTs7O5vFxcXmuZubm9nY2MjW1lbj0NltW5cyV9RsvaCtW1tbzYS5ZYh8q3xcujKwSuvVYFEXWDjLcKbBGNRMHWdLndBpGxsbLRDk7029cYgd3zuQcJ0Xe1ivneGQZQEkqg/r9/tN8CZrcuZWF1LYL2ErPPfCCy/MJz7xiVZmdE+Vey0oXHnllXnKU56yLzuoFI7TLStKdWpJWsabjNNQO24Gys+y8s3MzGRpaakxXNak48xXV1fzpS99KUeOHMna2loro0HZMMojR460uN76PPPaXFM5bDtH+goqBd0a7fJ8nFvNDFDSZBwIQJJQNUbpzloqQjLycwDrmlMxVecMxMc/0Hc7CP4Ghfnamm6b7/f8A8WTl567SdKMM585C7PuVYoC5O4VR9Wh2bE60zlw4EATbHkZkeXkzI57qyOGRpubm2tAC7unZ2ZmsrGxkZWVlVa7eakO/YI6YqmnFzmQGdixV+qx2mMXrWhHbP3votgsK9pIXYyddd5g0Vk3+u92WP+3trYaOtPOHn0zKPHeG2fe6A51osPWxco0VIBmX2Sw4oyaQv8f85jH5MILL8zHPvax3NPlXqWPnJaZR/NAezLRysb91GHkUCM0XLDRnScmoQZQhvn5+SwsLGRxcTGzs7NJxjTG/Px80y4OFHMg4wUmUD02Rg8+dTiwgXLrskR+Wz5GPThzB8DNzc3G2RiBmfedmppqMhjLyIZZuVva4pSX5xpRui018NqInaHxGYVrK/VU522M1Ex9OQhUAGH9SdI4Uuuh7+X5DvLuA0EO+of+2hmS+nN0A3NAXhFX22tHRBsMoCxPz2Wg4+43Y0sbucegi3aSwdsBOruF/qir2BxQaqZTJ+RxjObfa/ZKXXxXmYOuzIPr0E/Gx3Mvu7u7TVZNO7zYwX3GTvEpph9pQ70vSeM7bEeAvLrnyfrsMeb933VRiqmye7rcK085ePBg/sW/+BctodjheR04g2J0aaP3JLRTc6NwBG1jSMZOmmunpo6dWEgq79Up/MzOzubgwYON8ycwoHRQCBxeZUMGIXSlyHbCFS1Z+ZNxGu3Mx/w2FABLNpP2zm+OsoCuMFcLv10zltrm6kBrBuFMDwP1/IQzCQwVedVx59mMGU6V8Xe2ybWWZ80m7PS9omt9fb2Rq43fNAhtN7fsSd/Kt6NDONpDhw41CNZjYz1xtoKzrAHDQd6OBDuYm5tr0L/nCOxkmcOgL7Ozs5mZmWkde46ztONFdl7r7zorkrasaa85dp5lp+rx5NkGQD7aBfnznM3NzWaZKX3AJxjQOKtHhzw/RPZW38lhqopnMGY+NHI0Gh+OSAD1/Ad99Tg7QHiu0xkLcnjOc56TT33qU/f4SqR7JShcccUVWVhYSNLeacr/Sfs4CKM2o15HzeFwmAMHDmRubq4VkVFq3p0LGkdB7CC4nuej8HWilToJBjgUXmLCfXZOKI2XY1IXxc4ZJbFcjCb9nQ3QvK374OBBm7xxzc+2nJPsU1gbKs/0BL3byDjasLinoiNTI3XeoGZJlWKomWJFbzzT2YvHmWc6O0naJ5HaSbhdjAvOyGPOnNTS0lLm5+czPz+/j5826mdOodJbDmqeG3FwcVbtLJkASrucyaK7tgH02KjdAdVy8mocikGU7Qy51+XHlgfj4EDDfQZLXGebpZ2Ml31LZRmc5XtTWs3WHcC8bBd7dJ0eI9pA/ys48ZlYDoicn8VYQOk5MyfAHTx4MBdffPE9flDePR4U+v1+rrrqqn3cNQPglSPViVUlNcJZWFjI3Nxcs/TQE3CeGGRgvTrH6IxUbX5+PktLS0na58T0er2mXlNHGAiDaB7ck5NbW1utXa12eBWJGWlZ2ZCZ/zaVg6zIBhxUa/rrTT185vbYoC1/Lx9kHLyKxe33/YxBDYx2ZHb41gXqpn7fV9GyA5k3gdlI6R8ZDCiWbKsi3sFg0Iy7J4RxGkzueq6Et5udfvrpjc6ZVnG//Jv+2UZ8H87U8vXqKPpQEb4ndb2ccm9vrzkXqG5cs62aAqqB3s/1iqkazGgT8kGfrCdVv5M0C0AIvHW5KY7VQca6yA9ZNCCt1xsfPolN1/0KzsKgGp3V0nba4JVF1jvX5fmxJA3ooG+m6mg7c188+8orr8wHPvCBZnzuiXKPB4Xrr78+5557bgspJeNTQG20plaS9pLPZIxCh8Nh5ufnGyfM5q66SsROqQ4QgwNnDJ9nxEobWEEAqlpeXm52QeKgK33CIJKeVsdlVGLKwPSM+Xs7Djt/ZGoulddGIp/qTJP2RHF15kas5oIppjEodtLOKMzp4mC85NMgwCjaf/sZlgftrLKanm6/IL1mnzgU2uTjJ+wEGW9oArIGHIkPF5ybm2vmpHz0s+Vo5Av6dMaG/tBOj7kDhh2YAxVjZ+fCclTaRl+Gw2ETECoAq1QbNpCMTxLmee6bkbADPbpi5Awl6LFjzAh2BnZ21sjNE/3ORGiPs1hnx9i9F3AwtgA4b67zTx1Lsj3TucgdfXIWz7gDMpxtAlS4h9/QgsmxQPnsZz87733ve3NPlXs8KBhdVEUHXXgG34PJgNpx4vAQ/O7ubnN2CYgFo/fmFBu8U8VkjKDX19dbK3NWV1dz++2355ZbbsnRo0ezsrKSo0ePNun2zs5OM3no7MFozztSbcxGGk43kzaFVKk0jCFpH5eATL3F307Xz8DAnPby3EpzGX3ZGTMudXKXe/mbIF5pB495pcOQV+Vxa0bB3zZIjGkwGLR2rSdpDMsTjego9VnXXDy2pon4DqqI5cymVCybGnDpbwVFPKMLpXONwY5pQOyqAiKeb+dTA5VL3f/hrKOuWHKQNc1SqV0HIOs0tkI9gDU71goqDRIMcqy7XmXlDIZ6QOIEAR+DTp3eC+F5NsbCzt7XmgKjjwQeArLnTJzBY+f027bXpZ+nstyjQeFxj3tcnvOc5zQKyC5ip1BGQEbY1ckymXbw4MEmypoe8uQRHFwyzhZMxZimqPQDqGh9fT233nprbrnlltxyyy1ZXl7O0aNHG4frNlSjrxxjsv91mX4+CuBJWeozLcB8gHcAe3LKaAqn5xULVaFdHCjcfozWG3C805fnUXzkMPfVDMmptBGXkWnl+D12DiDUY3k5YzFFUymKSpnxXLcNh7O4uJjRaNQADagjnNnCwkIWFhb2vZPDsnTGhvzsUOwEHYgdIPjMY2meHT0B/KCn5tH9vbluByjGstoJfztD8b6ZquPWNzt3140d+3vTkw4GBmD8Npjkfq90ciCBo8cX0U6zDMgLncSJWwcJrNRrMGgdq9kcdZPVGxhgN7ZVZ93U9fSnPz2f/OQn8/nPf36fHZ+Kco8FhX6/n8suu6z1EhKKFcwR3hNRpFjeuYvyQPN4ByaCBfUbsaBYoA9WhpDqs+6b59122225/fbbc/To0Rw9ejSHDx/OHXfc0Zr170J3RkAEF1Yu0J5qOCi/KaWaOXTRIEbURi3I1w7RCmkqBz4TmdEeOzWjGxw0zp7reSaItjppnxFD25nco9DO2jfTQkbQfIaDQW+gHTB+r+Tw2Hmc6C91Gt1Stx1cr9dr6JdkfKR2HQNTB/xN29xft8/O2c+E1/akN1m27SoZo1QHE8bRoAtHiD7UtjtLNQiw7D2+BnPWXQM72kX76YMRvKnGSkPxDIOGmqGSybCpkKXYZAy0w36lPsPBxLuSDdhos7NdZOM9KMjK+sTKR57rORbroPWDsZuens5jHvOY/MM//EMnwLu75R4LClNTU7nqqqsaR+8JKU/IIMCKeHBKDAJohA1kTACB3CoHx/lDGKQnJ23YrGDq9Y7xe8vLy7ntttty66235vDhw83KDegi2kYfjaYdICqCAVnYsdjoeImLVzP5ML9kfHaQDd1ownXyPNCgU+pKtxjd+rTUSjvAy3btbUAeDnyMdw2aSfcEt+dlLOMa+GzENdjyTMvMFIezDL6v8vGzuigzTn6lbdPT080cD/dQr/WOdlqm6G3Sftcxz3cAcdZGHxgv98fFiNPOx0G6ZkX8VPRr4OIg7QzDAc1Az5mRdcVtdlBGP2k/aN5Bw3pue4OaAcQB0PAbe3t7zepE79lABx18CCS02XrljMH64e+rvOmfaV+Po+WADLAX+8enPvWp+ZM/+ZPO1WB3t9xjQeHf/Jt/07wH1gZnJ2Ij9aYavmPwcb4+AA6KB6E7nTZi9YTP0tJSDhw40KwUYFaf1QlkBIcPH87KykqWl5ezvLzccu5JWobOc40KCWYcv8CAEhidTlouSVoUGz84IvOeBFWn9HayPMeKXL9HNtRtg7cBg5zM/Xr/hWXB9TYCj4Uduh1HpYLsQDGOSgXZwRhV9vvtjVIYP+NDnTWIO0XnmqmpqSwuLmY4HGZtba2ZGCSgsgKOTIr+gMIrBeJAaTrNsrSO0L+a+dFXxtXzKXznzNVydPBnPHFC1Ffn4QBaHl/00pkuDthy5XpWhXXNEZgnRx7YtvXW4M+Zivtru0nSCi70DfvEDhw4HQQc8DxuBmIGhVWf8WUO2rZHZ2AVsDgQOJPkmddcc01+/dd/vcv93q1yjwWFrgk3p7XVkRqhOXVyGumB40z4pP1OAdfZ7/ebw+T4GyPGYeP4mTPg9/r6emvXqwMAz8NQqhHjCOkDRutJb66jrQ6QRsqgjWbAlJ1YuUzFJWMEbM4XGVretMe/PQbIk/7QThCK+25n5JSZflWelPqc0dF2G7n75c/sGJyFei4DxAtSxCkhD8aB0hWsZ2dnc8YZZ2Rqqv3eARyIuWh+vPvXeuzs0BmSgxXfO+hZN6gXp2FKxhkrulL7y7j6tFfTgNYp2kQArBmG20Cb2CxZ9b/qbM0eeZYzbcbV99he/IOOdR2MNxi0Fx54QtjtcJtrJkNf3Va3HdtCjxyc6pgZZNpOajZpW7EMkvGBfKe63CNB4corr8yjH/3oFgJz1PVywerQutJVFMNUAEpPNsHAO80kEID0fGYJB5mtrq428wZHjx5tFIqJ62Q8SWgKwiiJwmAlY16Xz912SkU9KHKXs/K6ahyOqQY/hx+jRsu6Zmd2OHbmGEqlOQiGpgqMnGqQoy0VzVsHfNIm7eZvU2h1xY1ROTIzzeGlhXa4Rmi0yal4badfxs58lOdYcHoY/2AwaOZNKm1Fu50JV921wzViRweQa6UwnA1V+sKf02aPmR2152fqjt6uMbYde9mqAQf3mhpCZgaCHl9kZmBkZ4yc0Y2NjY3mGr9X2XZgtoI6rJvU74BPX9ABvq/3JuMMA12t9JpBk23LWX2S1mIWbM5Z71d8xVfkwgsvzMc//vGcynKPBIUzzjgjp512WpIx8sDJVM66cqY12vp+jB8Fmpuba+0o5Xk8h5UDUE8sjSQQHDlypMkOVldXm7XLFNCa02a33c7QCIc2GLVxH8GEfvpUSz/XKxswMHP2zlAsI+RkR1rHwUHaWZCfjeHacbgt7ruRuTMpFN/goGYFDq58PhgM9iE911EDp1GYl1qySIEVU0aXlWunLb4fxJ+kyR5pF7QLbUBGyI2VX85o+JtAUwNARfLOIj2PY/BhMFT5dTtB2xm6Rx8cjJwxmupzFuhA5fX//O+9HG4r/9uhmvozVeLn2ba7KD6uhdqzTE178SwCFyv5/E4KZyhmKOhHBVLWHzt/7Mh+zj7NNkbfqpxZwACIMIjs9XoNHX6qyykPCqeddlqe9axntVZGWLmTMRKAwsGpOOVn4CrPh3I7RTaqwskMh8Nmkxt87+23396874CzjFhh5OV5dvhWFjt8Bs+8J86BIGQ0AHIBcTolNvqzfGoKbgOrARZHwg5v12U0YuRBf3x9Mkb2IMWkzfmaejKaZ3y83JDnY5A4UoKb76vOjrrsCKi3puHUT1sYcwzexsjzaiZDm0zx1B/a5f5XiovVLt60yDUECjtPOya4bt/DCqq654A2GvU7S+ZZ7mMFCnbElaphkpXrnJHzg01bF2vQdsbpZ9BGxqLOP1YHa3uqznZ7ezurq6vNGWTIoJ74ah0xUPJiA/fTIMSAx0fnIBs7eds9wRcKi4zGbarZkXXQbbUe9Hq9fNVXfVX+6q/+6pSeh3TKg8L8/Hwe+9jH7jszBAdOdK6pfNLmSB1U2GDCPIWV1Snf1NSxN27Nzc01B9wRNDY2NnL06NFmNdHy8nLrzWhGHNWR2nFV1IIyWHGMFFEGI4ckLWeGYhvhUKd30ZrTpC4v33V/vdEoGc9TVKRX+4oRVK65BjgHF9MxdjoOQnaKdhq0yVRI0j7euwYG5O9gTV1e8meKzY6PZzLf5N2tNZ23s7LMGC+cvzMvaEuvQ/eEaA3Qo9Go2d3rDItnsK4e3XKW4WyY+kxTmpd3pstz/d4JZzLOtgEHBmZezuk9MjyfJbs1W7BOYvPOEhhXZO82o4fuA98DBJEzOoIeGlxZJjh3NqRSl/XLWZsDle3CJyNYL22bAFqo6VqHx5s2V/t0ttzr9XL++ec3iyBOVTnlQeHpT3/6vjQ4aS+npKNJWumTUQX3cK0HlQEyGmXy2C9yweGzUgmKiB3QpJsMkh2+o76NhTbY+VWDw5FBlZhmYI8F13liNxm/uKPSS12IlEBRsw6QpTeO4Zj4G6eJnKGKHOhqdmCEZuOuq5hwcHzvzXZOt5EZjg1nU89ZMho2heA+GyDwCkjTNx4v6uJcKmcB1jMmlT0GoGN0pdJ+phXQf/qBProvlpuzYNNOtBW5e0WdA4IDe5J9p6R2ZRme67PeWz+6+ukVcNRth2k9ta7X7NTjWQEedVTGwBu/0HWyLAI9wZrx9ma0Xq+X9fX19Pv91oZDt5l2MJZ2xIABdJR++GRW6vCzySwXFhZaQMarErnPtBf1Wg8Zn729vTzhCU/I+973vpyqckqDwmAwyAte8IIWqkQBTJF4tYadjBXEDrOicxsyTghHBJJaXV1t3oCG82dDC44HR+j0lfbasXp1Sx0899FOwEdU2+B8nxGS9yT4GRTznJ489blMbNrjsEDvPK5ZlYOtU3rPIyBP7rdjpA4rJ/cQgBzwHbi4rgZfo35k58MEKdxjo0vGm8hq9kB6n4xXhvX7/daBdsjWoAWD5YcD2tDPJJ3LOT1hTRaB82a+h/5YlxxEcYyWX6VP7DgJYgYQ3Ou/LXujT9pvFG3OnSBEX7xowxtMqd+vu6zUnseo0jK+x5mp7cb0iXXIe3zIghwIGTP03LZenTS64mBh++F75MLmV+sc2cdgMGh0E32136EOAIcZAZ5RT21wYL300kvz53/+50277m45pUHhFa94RQ4ePLjPIJP2piD+T9qpE47LaMlI0LtTjUxYWYTQyARYSURWwG/qdOAxWqF9Ru9kHBQHADsRZw12NjyDuqrTr+jMwaRmVg6Oc3NzrdUbOzs7rVcNMg78Txuox47bhu5shjrcFx83bOqALM1UkOVCkLEcjE5BesjbVAAIyfI24OA03K5iHaN/BO6KQD0B6oLDcZCrKNx7U7gHxG7g4fFBFjh5I1fTqYw/z6myMK2Evfj9Ce4/MrP8sQFTkPSR++xYyfwqMHL2Wu2/ZofIhGI9dRbiCWTLyADG9zNOpjd9vhBzIM5MTR9ypLYBSA201nvkbxRPWwmEde6EMfK41OzNP55jtGxPO+20fO3Xfm1+53d+J6einNKg4EmdutLBE0oe7IoC+dxZRNI+k8fKtbe31zj7jY2NZhKZzICX4FQkYaOzofq5pnaswOYtQYBGAbU/FQWZ9uJ/G7cDKG01328jtFGSNZm/BgmjUOYrUXh4eL8HGuXmOk+uGs05qDAeddI/ScPXcp9pBDtMO3tk5qzSR39bXp6HQRYYuMGF0R7j4klU9MGIFvl16YvRGQjWk8l8nozPhSIAGEEjJy87ZBwIVjhy2xif2VlW3alAwLRQRapG4l3Um59nCqsGMT7nWvQMvwAq7spoLDP3xQGDa0yn+Iyi4XC4r51emeU5JPuTOm5VvtYL2ymHaTKmnNVmp8/YMN+yvb3dAFmDXGTDj/vn1U8c48HZW6eqnLKgcMkll+TKK69sGbkN0mm3FcgBIGmvYkAxTNtUJU3SvKeWfQdQKvzPJJD5XJfKizotpe3mDG2oXmXi6O8JVSsfz3HfkY15fZ+nk+zfYIVjQDF6vWPHdBjto0w4Pjsk+uHshHaSaZkSq/QTcx/OKNwfMrbt7e1m2SNtqhSLHa2DslNkxsCOxfcZmTmT9BhQT03/cZamDOselGT/+4dNzdlpcR3UgbMTHEK1gepYcUSm6vr98TJYL8+GCsNWPGYOmEbENegSyJCvJ9ppC+02heks1vKxTvBjB4l8rKfWpZphHy9zcHsAQegWThld9He0t1JttMF9dtA2EMP2fR96i0wGg0GzSIbMxqwFvopr0XHGlkyPyeokrdOfsd+LL744H/7wh/PpT386d7ecsqDAe46T9qYsjM4UghE5TtAozkoCwtja2mqOV0B5EQ73ERzIGurORnN2DlQ18tP+pL3G2xwv6bs5Z76rP6bNkvaEn43GsjEStePi8y5e2gjdWQUK5X55XJLxGn3qRDErukNW8PGV60aRmUyrZ7+YMjIqTbIvQPF5lQlj6clZGzi6AKq2w+06/oRggDM1FVPHCTk4eDhjQme4x7Qfz0PnvOmqot7qaKuT8FyL6SnGxjvqLT/ahWzsBD3Bb90z/WQbdXCtAdq2gP5wv4OkM1GzAUb9vhe5m1JDR+tcJfdD4QEOPTfi9hqgmtZycGJMeJbPvYKZMKDya1LRPcaKuv05/pAFKbTDb3nktbvMpfZ6vWbF5akopywoVJ7PCpWkJWg+t4J4MFAyCqgfpwGq9rp/hMUA4BSsHCAtv/4OYzVVVZEsBuA0si4FtVJXB8DA00enzZVuqbQOhmW0bmrOGYl5SK7FucMvJ+1TPRmTijSRtSf1HLhMARmp45Dt3FB0nmenjtPwvbXe6tTsMPkNcmO80BtnEFyLM6QdyNyBtqL1mqkxp2Iq0MDC6NI0nCkWB8QKIExLHg/x1+wEeSFXz+OgczgOB3sDGAINMvB4Vxqq6z6POUAQ+XjRBnXzvhEDNGRWgwV26UzHmbmDBCsODXr8UiRkStus39Y9gmtX1u9FFl60Yt1zVgmQ9PL61dXVVpAziDCF5oxlbm6u8YHsy+CeU1FOSVCYn5/Pq171qkYQIOkkLWdhasnpaJKW4tkBY1BESwwOJUE47D3wG9jsSO5MYFbsijrNMXqruRWIfvKSECMBig3MWYjRK/dY0SrvmrRXQYAUkEulX3AKtH04HDZnOs3OzjZIBwMkAJPuG5nzTKfLBGPGwujX42skbgrGY46zSMbL8Co1ZTSJTHy4mx0mhu338Dr4Ihcjf9NqtJ3+uE/VIZtuIsBa7z0xb5rF1IgdnR2kn+l66Y/n2gAAljvjSj+98Yp6nMlZ1/jt00L5HN3FBit1ZNsyHWgwWPe50EcKTpti23IGYirOmRq6ZOePvJ1dmL1wkDJIoz+mBAEP6LLnLewDyOB4HpkAwMv65uzXoLBmKsgYmV5zzTX5zGc+01oQc1fKKQkKBIHq2BCOaSNQdbL/uAjTO3xvqgdu0ErnNuzt7TWvybQSJmO0b2HzuakR0nHXyWFqdmpJe2kpSkcdfG6nRpvq7s8kjZOiTpxZ0ubcjTpt0HYkzjQ82WjlQpbIAifs7f9GsbTXaLyiLK41T2ukS3Fq7mwSo6Kv3u1roGHkb8cLtULdlpGpNnSA60xp4WhwnMiza/LYmSV10A5nLxVMGNWaAnMgNzjxngDk7mM7ugK4s92aOVYAZirD1xtsmCJyf7vuSdJkpdVB0rYuB+r3mTsQVhDp+wx4uA5d8QQ9z6y+g6zZQdi67x3xdtzWLfprEOFrKMgTIEXmgh2Z0fDYcB9BhYxvcXGxqWNrayuLi4utjPaullMSFL7t275tHx2RHP+taqaJ+J20VxhZwVw3BSdLluB10VZCTzB6Ai4ZG3alj9xGZyTJ2HHVlN6prlN310sf6qYyrnHKzGoGdmZ7bXOXYVRkiczd92S8jNBIDfRM37yZqqL9OoZMniJrj5sDZh1P7rcBgvL5n/swOKNCr8DwUdaeaKUN7FfBAdB+0L2dDs6FZb30mfksnCnOGh3CqSFHy706UQMgO3HrLAiavjvYds1PoJt25jhmxhKHWfXWFIuLrzWC5lrbEdlSzVRtEx5/T2RzHfd4wYUBlW2Ztlhnuc/vWeGgReRc6d2aUTEODqSMveWAfExF1gzWYKnKFd/lAF7rR0YGOtDAPjaDSeskec5znnO3l6aekqBw/vnnt+gWoxx+aprr3ziXJPsUBARrSigZry8mIOAwQXkYFgppZ2okTzudoRwvneWZKBSOuSpSMnaQyX4DQgkqTWWU6Rd6IwMvJbRSo2Q11ca5c32dkHMAgGLpWmpbnTsyMRKtWR3jiqOjDzXIcj8OouoNz6LdPBOD8oQz+xroi5G1HYhlYT1ELnC/BiEeeww12f82PGeX9JsxqpQFz3WGZMrDeuVMwU6C+7knaS9rtV0Z3Vqu2JnH0A7NWawnuL0ogOfaDtDPqkt1fgB98D4kxsVZjINUrb86eIJBMt7Z3TXx7qBj+3XQRV/YiGjA5Gc4qJhZcOA2oCLQebWRryNg+IVAPu5kfX29BWSS5KyzzsrdLXc7KFx++eV52MMets+Qq2Ogg0lbMAiW/xlwNo64www899UUHYWzU+d7lJ0VI7SNgbGiGJGaU+S3U77aV+5DuaivZgP8OJ2HMknSMjgjUNME1O+16cgJeYIgCIgoqtdpe1e0MwgHZBsVmYUDWjKm+7iezyhWfhx3zQpoqw3b6J7xqhRkv9/P/Px80wf6jxGNRqOmn+bm3W/qccCyUXehSesZhc9xMg7m1jEcgrO3CoboK22yQzSVhe7YViwnAxBntiBy98njyufojrON1dXVlkM3snc/TYW4P/W5lpEntqnPdmQgYsddgSHy8Co4B64K3LA39L3OR9RMyyCY77nH+umMstJgyZjGchAEiFR5ef+FfV2/38/DH/7wPO5xj8unPvWp3NVyt4PCYx/72Jx55pktBGzHjGCS8cmYGKhRvFclUPy3nZCdjoNRDTQ4dTayYISsHzeydtSnD6yxRzkYcFLUyrtXmsXoiGK5OAupCMJpKcZEezlmgElhf9c1oV4nbaenp5vlwzjK1dXVLC8vZzgcNukyToY6Tc/YSdB+6qvBn/HiSAhTVtxXJ3arA0GPHFD5H1TOqgyuRc+QIc/xnI5XkNgx8HwcogOq22AdN0XhPQ7obNUR668DrjNpAoypD88l2HEaqOAU69wHv6GnfFYYfTUdxfjj+D2hbERcaSO3BZuyHdAO+ubgjowtzxpgbRvIgOfs7u62jtF2nV1jh9yp01Sqs2Pk5rYzvqwocnD3XJIDFEGLOmlfzSDrKjMDBsvUwX0wGOTss8++b4OCG1fTMKdipjkQIoIy7cBAo7Tm8BlwNqXhlHFeVlwbNIOAQ60rJXiuIzIOzCkgu4VB3yhusv98moqOkjaXmnQfgYC8HFTsSOiz20oAMwoxerCRYizwkrOzs80a59XV1VZ2Vg2SzKMiVTsJp+DmjeF4cULmzS37SjcYAfIMUymM7c7OTuukyDqf4sDuQFsn7rnWGRXypj4HdvpvXXBhfGy0Nauz47T8vNrJwKrfHx8dzmf12aZyXOi/NznSb9NNHksDDn+OE8QmeJYpS2ehfiYBHUrGjr36DgO9ej+2wnMZK4+Z0fre3nhvgbM/O2yOzcFGeS4ZuXUR0EH7/V3VUQc+2u8AQh88Rh5XAA1B3LKxHtbge7LlbgWFc889N1/91V/dNCgZ0yXJeDDcWJbMQQ8lbZToQWAAUFqUj7QKhGgOtSoUwjYiZQLOaSCo0cWZQzV68/l2NDwDhfPabAzI9xsBVCrFAdYcMxvzvI7az3cAxtGAXuuuUp6B0iIvxoLAZarEgd3zFpYDcz2mu2i7gxVtrxmG67e++Dwk5GunZeRV9dIonIyItpD9eQwYS5ylszn0C2dfHRS/QaBeNmsHZDTvevntscVxV32wrjNGppIMDJyB2lH6Otuwi/vnzB2bNUiwPEx7UgBRbj/2aD3yeDDOZhms/6ZNDSBq8OQ5noup+uFTUGtGOzU11SxwSNLi+e17/FNBRA24TCBTj7MofBZ2xcIJ2mrZbm9v59JLL81f//Vf5/bbb983hidS7lZQWFhYyDnnnHOsojLphCNisIyC3KE6wejVFgyeUaijOoZiVM7nOHH/jSF4kM2TVkPwPIU5RBTdClB5d2gnPjNyoR4bKp+7Pqf+TuuNNEDu5ui7ECKB07sg7cDtYIxe+YxdlE71uwK4A5ydqI2CQFkzGTK9JC10Wc98oQ5WmdBOnumVNQQXy8SBmWBpasLP52/GnD56/J3SVyTbtVKoytlBwOPAWFOc4XRdU+fcaoCkL+4/csXRkr0ZyXqMLWf02K+NNPp1kK+2VQOSwaPvqxlM174G+wnLkEDpQOOgZ59hUFXlZVnbSZNN9Hq9Rh9tG/TDck3aiN/yIeCgr4wP2bzPdjMIrjpz1lln3a3dzXebPgJN1pUq5l8ZRL5jEG0kFeVWagAFBB06UBjxVudCG2v9/hzDRfnqiqekvTkmaVNH7ocnLT3ofOfBRzEcFHkmiN1ZA//b4bsPOE9znV7mSgDAEZL6OgAn7WW3Rro1pTfKdXBG/g4WpuHsfLnexsQqi6T93l0HZO6tyLjX67VeYlJ3BlfHzHMd8KgzSetcfu9dcH+T/UuujdQ9FqbkbDNejujPcTSu10EEygRggCysO9aTagu2JzuXGrApzvCwfYOqGphMnbley97t8TiYenIfnDFVQIW+wwagQ8wzeKwM9iiVbYCuxheRtfo0XFNn1WdUH+cxNMJnHHgnDO3Elre2trK2ttZaem+9YUy6qMSTLXc5KPR6vbzqVa9qFGBrayvD4bC1nremUigQDfdcgKOelaUqszczmbuk+Lm+N9mPumjr8Yzbire3Nz5rpRpydTYoRkU6NjwcJY7GKAfH6P44wDjoeBkiyuZjle0EMDba5iyEPqD0vtaHdtF/+jU9Pd06idXj4f4aYdZszzQExosROisiXScLs4NxxscRAjVj4QcZ+hrTjJUiGw6HLeeXpOXojKo95gYDZGl8b1la/7jeSLsWI+cKjvicNhiRuw/0e21trQEU0HW0BTk7YzWIoO2marjGgZZx85hZ120r7nOlkCxnZ92Mh68ZDAbNi7c48gK/Yd305jWKF8t4wxgynZ+fb+ZE19bWWn4uSQtAddFz1XlbtvyNLKCKfKTP3NxckrR01j5ib28vL3zhC/O///f/Pq4O3Vm5W0HhYQ97WCsLQCB2fHYKRmAYnxFSRcCkfj74zkgpaQcEKxwD60kfrqmTp06zK++I8nFv0r3RhcBmBfOg48AdpGp2g5J6OW7XfEYynlTjuV6CR9tN6RFomGDzuHhskB11e9moA0PlkUHndcWVT3fEsXvJX5dToQ3r6+sN0ECeTCjTf4+/qS36z2esOhuNRq3JdVZZ4cS8a5o6ab/1ib9rcPVb9nhfNrLBTvxT9aXqkCkKdILnYRc8D3SNbRkMuQ81m+d6LwHmOp/rRV+NgO3cHMw8vwEqtu14D5H1GZ23vTE2gDiAgzMF7ASgwoKG9fX1xql75ZKDggGex9kOvPY1Oebr2EXMvW4/fag2QV8Yw0pN4y+YO7St1mJa2UH5tNNO23ftiZa7FRQqD+clYFV4SfsAOlMc/HY24ezA6LvrDJZKaxiNGUEm42htpME9FaXx/JoCmmoxp0d6WtNolJJ0Eefhc2O8qgn0YprEaMnByAbDszFcKAUc087OTlZWVlqKaqfGGNnBUJdRJM6JVxo62NcxoSDPyoc7c3GGZnrCWQYy5YRWj6+dE6l2pXXcDgdroyz0086Lftlwab91YGdnvAnJ/bGjZ7zrAgQ7obqXhmK9Mro2+ocetI7QVgdYU6TOeHmGUTzF9mOu3nJ2n7wk2GCjPm93d7dx4AY7Fby5r9xbx820DNfMzs42LIMzX6+Ac6bi+rF9bALd4nsHPesXwdgBj+LMhrayaMLjDGjpCgh1/grdMZC9K+UuB4VXvvKVWVxcbDWOKOnt7qYOPOFiNOBUkxSJ61nFkmSfcO38Kj9Im4yYvAKEgbZgGZDqiJxOOpihFEa4Rj/OQOozzdM70Jhaoq0UK6w/29sbvzgc+od2o5ggPo7gBTE7lXfgw6hR1Lpr1NyrswLGwtmFN9sgS8852MHZ4LnenL6PLLd8d3d3W6CEccFAfXw4OmFaw29sMyCwPtvhG3lSB32BioGPpk3JeF+IgQqFtlonqw55k1gFQ/XYjZo1027XZ7lTl5GuHT7t8qKKLjuo8y4AHvrmAG3qq849GfDwvfuPblj/+v3xPhiuM01bZYHuebmpZc648xkT8l5RhZ/yUm7T4QayBshc70ULnhj3eDiLc2C1rpKJ8/0/+2f/7C4deXGXgwKbnzBQFAjlrMaHsXgFCQNumgQEiqCNplA4BGyFMo1TnXOlRhhwL5fkHq9ccXSufHzltGuGZOfma4wsUS7TDl7xlLSPAqkT4jynBkcmrGzISZr3HJiOs2M3P0vb69JHKyYIjFURGCB9S8avjaR+ZGyqp6bYDhJGpCi/DbxOkhpQ4GCoc21trZX1UB91efIf52HqAefCvciu1+s1L4BH9wnUDpDI1tSbdZNxtu5DadVswI7ZtsEpuHa0jAP9oo0GSz4nyI7N9ISzPICGA7cpGGc4ZKz+3wGZsfbzAH+MATrTdcKraV4zAs42kTlHddt28Dn4Bu8udpBwFuAJ5Uo3Mc7UbZ9R9xkZWHC9dbpSQwaJBhv1munp6czPz+eulLtFHyGMpH2IGUadjN88VNNGI4UkLcMnMuJ4qN/R1akqRmuHT4BJ2mcA8TlK67QP5bKTrWjUyufBdUAgYnNtpXeM0upnduJO/XHS3p+BIXEfzheHwSYcPuNeowqe77kX+lMDmoM99dUMwu21A7LjBzU6ncb5WX+4jwlPMkVO03TQQFY4Ws8pMQ7mya2fRq9GyV7JZdBhR8w4VgdOPbQFRwsQcQCjmNJijNioSf9ZClnBkc9acv8tG8vcFKjHnzY7g6t0KeNoes8O1AGGPrOixkiWsTWYqa+EdQDs9/tZW1vblwnUuRV+ezUhz7IPcVbZ640PH0Q+DqoGdBTGEZl50Yhl5fFFpviEmhU6EJhtqWDXtmk9pD+u52TLXQoKZ511Vs4888ym0aYQjDxteAjFRmAHh9L5YCkK/5srq5udKJV7w5nZGOzozC128ZY1/bYi1FJ5XqMZnJE5SvqPstiB0ca6W9uZVbKfqycId01uIQfTbzgUz/U4hceg6qS303Sv4KCtMzMzmZ+fb6E+0N7s7GxzmJd1g8lJKz+IlB8AgyeS0R+jVqM2UxvOdKxjDnbIwZSF6TzTCT4hFqoJPTIKpq6K7uwg62ohVs44UBGIvS+CHwK+kSsTrtxrm/SOWfSbv43YK7I2vQr9wdp6MjQvqtjZGS8rxrac2SIDdA3dA1Wzmmx9fb11IijIe319vdEV5Iu+LS0tNWPU642XKzOODpoVqHkxg4Mf3xsIYQvWZ9dDIKCdjIfHxEG+glIvGkGGBixmKGjj4uJiDhw4kKNHj+Zkyl0KCpdcckke97jHtT4zunEjieZ23P7OCMYH29k5m2s3leQ6HTA80DbIZJz22nFTvxU22b+O2imxkbSDBIOGoRjdm9qo11djMYoxYkrGGULl0f3yHIzadIiRRNcmoJoZec6DPnvscDjOzBw8zdXv7e018xn0u/YXWdAHnuMsy+m/kRty9XiCqp2Boh/w3FA/tANH4P6MRuNlvsjJ/LYdZEXiBiA1E2BMvMTWTho6iBVju7vH5oQIDMgGqmA0GjXBFlBjO5mZmWkmXG0bXZPNtrtqu7YD992oGadLPWtra01m7uW6ZJJkWXV3sYHM6upqyyYMaJLxi4DYrY6t0xbrnDMfO347XH+HzVW/UOeSamaDjAgGRv/OVuw3/eyqS1U+9cdZxHnnnZcLLrggH/nIR3Iy5S4FBRoJQkFQFmJ1rgykUa3rM09nlE5dViSUyw7bvKEVs6aTniA14qkpmQ3LA8RvOxkUwhNGDmI4WvqDUVopaKORPZ9RkA/X4bgZA3b4svvYnLVlZLnRZu9K5TmmWnCWHmvXSR0UZzocCWBZ14lqO2X/RnfoJ9e6Lx5rAhHOxnLGgGk7CHZhYaGV9Xr8WLZqvZiZmcnCwkITmHkXOO/mJVh6rHHyHmP6j5Ny5tTrjV/gbnk6AJM5bWxstM7r8byUEWydY0GH3TbTOOgHTqqiY8Zpb2+vhd6dXfC/AxDPc1aZpFlkYr6ecWLTVr/f37eqzC/Usf5ZVvgVNm2S4aAjDlLIxVSubd8+j/Y5KCbtpdj4GfeNYI78DLZot+3SwNjytc4SNKzzzoZPtNyloOCB9Gd2rPy4E9UY+NsUS43U3qxm1GrkXDOH6sitgH5HrTOSrh8GxgbgQJW0l9lyPQjGfbF8fK0dTkUR1O/03RkZSm4es07EmZLqOkLESK/SWxURev4I58jmNT8fxQbt2xhME3Cd+8mYY7QOUOiT9cbHbzjDgUqwk7ezgef260wNDkxZ1fEzNQf9hzNFLzFO9JPnIFNTWzzfMuB/qBxkabrMffNyaBxNpR1wroCUChLcBz+LYOWMwTrLd8jHdkxdzqqo00yAX5RFW+0E/UzAH+NAFgeA8Uoz1+dx9/yWMzoHzuq3XDznYXrbGYUzJcbDY4LsPD+E/ls2fOfVl/TbvoQ+1OedbDnpoLC0tJSrr766eTgCtXOrSCFpv3DF9AeC438U0yi8crF1kDwJ6YkhI8m6koJrHBxou52zhW0aBSdh5+ellzYU1+GASKlO347CgalmL6DUmhGZcqrGaWfs4JaMUb+dKjJiRZhlvb6+3nqbGc4JtM5a7rrDkzHu9Xotx+xzjNxvNvHQbmcOXmZsZ2oqx84YR7G9vZ35+fkcOHCgyUo8BwAK98oW2rqzs9O8S4Bnszwbzhuk2ev1GhoRnZ6bm0uv12u9Nc4OHpny+dzcXBYXF1tzUH52r9drguP8/HzjTGi3N4oZFJjWdZ2eUzI44Xm2FdtCrZe/Hfyd8TGuy8vLzUotCjbjiXvPrzmz7FoQUAGiHbgzD/xXV7Zm30PhWgMuZz7WN2f13GvGAxnyQ90sad7bO7ZiDsDm8TFwQ8aAlGQMDq+44op88pOfzPr6ek60nHRQmJmZyXnnndcgDqf5dvoeWCMxBg1h1s0knhC1EIzOPGdAXV69koydjyeJ9/b2sry83FqZUtuOEnljFIPn1TqO3vCXrPQx0jESd3DwZJznGpzl2Kn7x+jBQc/OFMVjEs4y8druqsi036emEijonycC2UTmIyn4vbGx0VrpYeMwcKjPR14g7iQtGgbn6KO/ARVHjx5tDADZEDx7vV6zTM9tQX4EWp7N+PIbJ09QABA4+yEgevydQfi5OEEHt+rwvWqO79FngwPTZUkau2LsbZN1wQDOC70jKBiM2aFyPfZBP0yfOoO2nlNw8p5U98QxNo2umb70vBljZ3DG3CQ0kZ2054mSNLQbcoGCRc/9kiZnVl46WnXIQQt52mk7UFknaoAbDAY5cOBAI3/ABs93ZkuxD9za2soZZ5yxjwb7cuUu0Uc0hIY5QzCSRMhd6ZeFsbW1lZWVlSTtA7OcwnkCs6a+1OelitSFI7OzNoqqA8i1RgQVtdBu0wtGXaa+6EfSnocgyKFQRh41IzFtY/nYAZsKYoxA4067Xb9TXwzPdI7Rtd9TS9AgGzBCqXSIJ7j94/H1+5CRjeugP3aiTJr6ZUOmZhgLshQykc3NzebQsfn5+cYZ11Uo0Feger6DKjN/b3qMAGrZYcS0iQDFGCNbjBzZk7WAGAFR1lfXsbe3l9tvv72RAY7NzpXg4UzRY08/Pa+ADG3zXdQSjhdbIFiiHw7s5tW5t98fv8vAckUnODaE8TfIdJBhc6ZlZFBn+2TOCxnA8/vEUy93dRbexT5UcMd9FGcw1lP7MdOIzsIN4I7HzBDc8AdeEnui5aTvYNMajtCo1ZQNyt2VfiVjB1n5wy4Eh7Cq4wMdOvtAEL7GqSztdQpnJ2UE7etsgAQCG7NXFzGQ1Mtmp93d3RZvakeRtCfvaj0eeDs/ozhnFzgV72PwGGBINiyjQl/r653iO1AamTkoGz0ZRTro1oLBeD7JfSAg4FCMLnluV7bFwXb8jWysqxSyH7+MJUnTHtJ50CI2UftB0GK5rXXCOl+zBmcB6K2XE3upcHWSMzMzmZuba2Wh1am4rdY1wJWpGqN5dH8wGLQCPn0wqEAnbbu0yf1zG5G733mCA6atbjffe5EF1B0B36AEW/FeGfSRZ87NzTX0oefLeKaDBMiczMzZjOei0Fv3A1m77wZEpswYM2dOdQkz8kI/aONwOGxA94mU3shSvrML/1/HfvqnfzqPeMQjWjQHimOH6wkbIrTvAbXhaDY3Nxu6wdHdjsWKgOAdeOzYjDxMA3lTWaVl7KBrqfVjeA5aKKTTZPfZCJ0662CaprBD8xhYSZL9x3LUQIOs6ncYqLMht4Msxc+lLqMf5GsUipz4znKhTq+wqnNCPJt6oK/qWLlNzkyd7SXHDPK0005rDNN0m59vp724uJi5ubmWY8bxjEbjEzb53kdw0EdkUQGA5xkc8Cot4zGlDdjTcDhsHKKzMMbHGQf65A2DdnjU79M4aR/XLS4uNgfAue3okQFTMj7So2anBjjWcfSEYEpwNLKv9fBsHCj65ePWbYcETx9BPRqNl8pa7rTbWZF/28Z4tseRe00H4cvIaDwn66ypBh//WHZ8TxCgXwaTN910U376p3+6dc+dlZPOFFBwCxrBG/3RMDfCjmJ6erpZc43ztpOiTlJBuHtzv85SqkP36ZIYGWiHthhdO9UyjVAFyXc4FuZAnPGYB+YZVUGo389wRoI8+RxHVJeZVgV19uMsyc4fR4Aicb2dSW03iKemuyg46Nkps52u9SUZLweFLjDarOmzgyT12BmBlqkfOeMEkBmI2nMwPmsLvcRx7O7uZnl5uQVUqNMyIyBZLubwvbYcA7Y8jcK5h0loAAhtxxkThBgvo1SQvifOTQ15FYvpH+pmfFwvmdvKykozEZqMAQlODV01qgWRo4P1t6+jfcgJG7OueV7A/1vXbEee8yCbYb8GNsN9noO0HjGmlunOzk6ToTogGty4LWS0Dt6AVtrpIE2/ARaMjbMP2mJbdrC7KxTSSQcFN9ZKZTRvuoYBIL1i8MkU7PSTNHMAOESjVSMKR0MLymk4QvbAch2IziuGSDutYHbitM/prbnkSpN4sGvQstOzYdKWWh+btuysXYedMP2mn7TZBu/U387aBmr6ietQUArPdCZUiwNSMqZmkvYZOtUQkF2VmYMtwY9n1OWuGIxpD9o0NTXV0KGVImQsbKg4aOhAjxOoHQdKnUb+29vbzeS4J+B3d8fLTn0MhIGNx8HLwQk6cON2UAQjshtk6LkC2l0nwaemppodxIyJz47yrngjVfTQb3ID+Bk41cMLndHhT9hUyHwKOra7u9u8H6FrwpU2GpzSpzovwz2mdtHPus8A3fOeGzLGGgywFSN8fJFZFMYN3a2b+9j/4ozKNJOBI4AmGQcgMr+TKScdFGr0rFQJ16Aw1VkQDOrKgLpZxk7PCL7LSXiAqY922IFyr5FB0p5TYJDt6KrCUe/GxkbrIC14bqenVggU20HUVJIDgrlEGziKbQdGIGMMjCyqwoB0q2JzvQOEaQfGhmsdDOxoa1blLIC2miLjN+3BGI3e3UbGwhOEUDGgabeLPgyHwywsLLSM1/pCuz1ZTB3I01SlOXd0jXYhR9sJx34MBoNmKSZtYuxWVlaytraWZBwskzEd0tVuaDGCIfewOmo4HGZzczNHjhxpIeOuuT6CHXoGaIMG6vf7zQtekD3y3draytGjR5s+ox/OBpCZs7FKWzIGy8vLTVvcbu9wrnZg23eAM91S546qnbO7HFrO16OHnmz3yjvGnX51+TGvoqRObAtQa4oPXUTHTbO50H6CAuPAuJ1MOamg4BlvIxI6TadADx4EBt9Rl2v4sSAqleKOGqUZzXNN0t7o5XZU58JgOQMBLVTnR72mRei/+2AH4rbRJrerKrVRDfUk43NralbgupP2C30YK4wbROOMxEbpz53xuK2m9xw0rORGL4wRfbL+VHRj2qj2y/NV3rVZg6fvIUvFwVZd5JlG6hg6xo/e1/Xldkj87wyB7AwECipnXAgSyXhvA4e92U4I+PTfWRcOc29vL3Nzc81b4rwiC6eysLDQHDWBPHFAjJF1cWpqKgcOHMjMzEyL5u33+w3gIfuyDvi76enpJhD2er3WeVf1YMYKApJjmYk3/XlituqHgaCdoL/n2YyTV0/a4fp1rrYF9I8+WY/tEzw+2ISzQmcjBFl8lN8QB3iClgMYGKDaFyAD9BW5AxAcDO+snNRE83d8x3fkG77hG/ZNKJs+qZHJiIQXVGCIpl6MvJyNEATokB07BWdTo2eltPx9RRl2kg4Admb8JPtfI+l5lmq41bnSd4rrtVxtIHXykjZXZO+MiAzLztBO36m7OfG6igpjBQlbZnUSzsjHn+F4ube+mtKTnjgprzuvBgU9QLB0RsB4zc3NNUdam47ke/So3z82p4WBIm9PVhpMeI4ARNnv9xsqajQa8+LI3St3MFg2bnHKJ0tzcYI2ev9dgddoNGqcMEtt9/b2Gic8Pz+f4XCY9fX1rK6uNrSpAQrO2e89SI5lBIcPH269AcxzM+bg64+doe3J9m7ET92VcQCB19V+dsij0ajpO07b8yJeYsr1+KqaMZoutI1az21z6IVpQmeqtk36ZUDo5xkUOYuxTbpe6oZ2mpuba7JlB9D3vve9+a3f+q19QLurnFSmUJG9G1sbjKDoNML2vUaGRioOCl0pU6UoUKauFMwGVqkCozCe5TkFBwqn86Svpg/qwBuNup3IyWvZ7az5DKP1CaTU4zkP34Pjtrx4FkjZgdhOizYzXk7DaYffQ8B36EXNGhwQ7Ayo38sGPdbI10bgv2ugMoLzGBoROshWZAsypM0470onmL+uG5C869YGTWBaWlpqToZdXV1tNvyxk5d2Qvc4SCMz5G4naLoIB+t7GGucuNuG7XlxgPvb7/cbPprx4vks2SS42b6tOwAkH/nitjvzdWbK89ADZ1kGd/YjU1NTTVDwybC0x/ulDA6qLqDrzvqtzwYiUDrVdhjLrkzb/sXBHvmhqw5cgAxvTHPmgb+wL6Mv3uR3ouWkggLOsfJsFoqRfUU2Xilg4YFMKuXE9wQfFw+i22JlczZQs4AupXQQcDRHOatwvcqo0kF8jkzsQOsAVTlVhaQgI+ThzIr7kKWdoo221zt2bIKDtJGODbRyop4r6po/MBDoymIIApYpyN9982oT+mH0at2oE8hOub2ywwjQKD9JQ2HRX1NE3gdgWgfn4KyDeTHGlGzoyJEjTZ9XV1ezu7vbnO1v24Fy8pjzHSAE52B9QvbU4T70+/2srKzk8OHDTV+tk577MvDhGigp5nkYBy8BRV/qcmyPhTMP6zfPNY9up23Kk6M8CEhQcwYYjC06QzC3T6qZv4FtddbOhKF0vJkPOXuegwBln+Jd7YxpXRVkYIVcCeZmJTy2nmO03hCAPAdzouUuTTTPzc21lpXVSUsajOIYqVv4CIJO2NnYkTrKmvKg+NlGvtTfFc3527SCFaCuiaavOCDXiUN35sNvrxKoGUjSfpEL7XE24zabNjA6RWFrNuH6uMYZl2Xk7K4asxGPN2vVoEV/7NQd8HAq0D9Je/WWx9dUE7+RJUjN7bSzw+irMTGOpmRMN0AzcH4T5xyxC9pcLfRS1S8f6YAzWFlZabIDnI2BDA4DyqciPorfk91l6Ds7x97Bjfxol+XLWCTj9xGARJO0nBc6PDc310L7SRrKy1ksusA4VWBVswhK1/4DAhEbGLF/aD4yGQNIjkJ3vay6qntiKJZvzbCRITqGTzOK9zgamSftjNt7bOz/ABNkbc78bPteWWZGxn7Cfgnb9BlPJ1pOKijgbFhWx6CY/qGzRv5eBWOEhlLRCTrHbzqNEVeqwHUm7XXjSVqDRqmBwc7GPxim0TjFFI8zERsICuENXQ6KduDe+NKFFhxIvULIgbQqDP23U7eBeoxMrVkuKJJpF9b1WyfsgOi7n+fxdPoNMu73+y3HYFl546OdEvJwJgni92oQ8/TJeMmjdQUHS4AyCKEuz1vB/29tbbU2RxKsTUMhK2/EqhSlA77HxffRJpYvVnqurmqx7oLGPdnojVq0v+uoEtpLEHRmMT8/3/IDXQDEgMCZfAUTPIu/ecUrNuYVSzs7O62jy01L0UbGCgePjJLxAYEeV2e6ziKqTH2vbccAxPaP7lbbpA4yLPsE64P1HGBikON2I2f8hv3JPUIfLS4u5qyzzmoe5COSWd2CAKpyMRBVUTh/3geIIRxoBgbODqqi5oquPRAuKB4TinZelUqhDa6XQfD/RkcV1ZpWMqKvdAn1dGUXVgrLj0CAE6yfWymQB/0ltXWfHNCSNM4H5+bVTLSNY8jdTsbG9BLIldTbxmDjcgCnTv8N/871phJoD5x4MgYF1aHbeD0Zh7PDYbJGH/10Nmp0jQMw/YQBG+FBZ1C6AEd1HHxmZI6j5vnYhicYqRuEyrP39sbvyABgUI8XZtgOoLqsx85CHPhr1s7nzl6cSaGDlHr8hxEwfef4EShClvjyw8mi6JzbUe0JirBSMpaD6VqucZ8YKwCXMyj3uTIAzrodHOwPkEEFOzwfP0kANIjyb+a1TqSccFB4/OMfn+c///mNUVeDRHB2pj4B1YYDOoHbtmNHEW3YVqCakSAcoycLn7o8+KALo1cPmp0f9bk44Pg7BtiOyM7X9JIH0Cmt++57TXuA+qywdrymakzd0Xb3y8HE1FjNUAgStM8BkmfhKJ2t1eC2sbGR6enpJjAzJowXCm8jdEChfTgzgpb3t6Bn6Kr3MVQE5bFG1zBCF4MRUDL0hp210ZqdiQOkkXIXZWa0bRTpHb7ol5cqMxbojlddWS4VwdImnCHZgLMfy88LLSzDmhUapTqgOCNABnxmJE4WhtydTTFO0H1kepUZ8L20xfNH9AW7ZBzwF7Zh26lBKf/XAGawYXtxJkUdziwoRvj19FaPLXoLGDGooG9PeMITcsMNN+REykmvPrIjbSr5f8ZJ5LXTgi/zpA+TdwsLCy3BGA0jEAYUQdJJG6iXx5liQGE9gHb+To/t5B2pTY+g3EZKNnwHpRqpMToj6i40wMqOSl9Rr1FK0n7PshWpZgLOROxIKq3j5zEeDqY4JrfdRlfP4TEVZuoHWdrQkWWSlnLTRigEB3GK6Q9QejUco1U7s7q6aXt7OzMzx96uxhhwIquXeaJbdrymeQw4WkY31d6RWvl2FjUg6wqckLmPJndWy9/1fRZ2vn4+z7XjQleMjp3BVzoGneLZ1IdPMEAxtWzdtgN3X62rtlt0k7X9fne39c7jTb2mSQl69kN1Yt1AjnZhp84u/bwuOidpH2fh+Q0DBttxtRP65t3KNcAja/qLnE+knFRQQHltbCiCU0GjLQyuOk64aW+ysABsbBRzeUa8CLRmEC52Ah402mRH5uLAUekb2gCysKN2BKd4UtnRvvbBVBbrxm0M1WBwggQH89h1TX1FTZ7YwiiM/O3QjIqM4o0+SaHdJxvR4uJiK7u0zJClKRK3AVn4Gu6hn86o0C8jVPqAM7GDtlNzvysdQz3saDen7izEfSLoOmuzLHFUBK6KsrmuznvQd8aMwGnQwVlE6F8XcJqePvaaSt5FQRsMTLBntxNnzDJd9N6BBR0h+7Jz417mKpGPgwR2ubOz07QPELq2ttba42IQYKBF2zz57CDpNjnrswPnOuwHf8g7PQx+kRn1uh6DXgcBAoRpX+5NxrSvbdw2TLH8uQ4dPJFy0hPNoH2UxKcZJscGBU7PyKwicYTnFR1VaEYWToX4zMic+s3ZOi2vdAFOz9wiwnP6d7wJI6fkPMtKwG8cdkXLSfbJx3IAAdphoIx1JylyYXUKik+QcNpsWqgGVtqHbHmex82ojXY7ICIL12eZO4MxrcL/rEzCIXmi0Y5ybm4uc3Nzrc1qNlj+96mR9XA8y706MZ4/GAyak0FtuMvLy1lZWdnHRzuwocM1oFv/arbjDNn7IfjeekRAqOPjU1z39sab2FjHz/0OXFx7+PDh1tJa9AC7IzCwFJTAiwxxSATvmomjmzgr+sN8kMGO0b4BjYND1TeChzNL7NvB2xmyQZRBEe1wpoNNI3dnvcgHudl2XbgOMG1dqItO7GtYXQXAStICnvZXFTjeo6uP4LZ6vV6D+nq98YFtGDaK1UVT0CkPoJ0KQnVq1cW3ooh2PAjdFI1RotF+RXfmEavRoBDeFGfH5gkjp8i029ck7SM7KtolTa2IAGftPps+groh2HS1z8+hvzzDzodnGnEif1M8Rr52gHVMa9ZHMKtLlm1wTn8JFmQ/s7OzzTEMGLHP0nfm1yVb128dtC4hv4WFhcahjkajHD58uLXUEdnWMa0ODRnZydYsNGnvK0FHnVU6mFTOPBlnNp6L4ciJgwcPNqACAHH06NFmPnBmZqahpRzknG2SiYDS0R2CNe+toC1+ARK2b3RL/wAB0NHVmdZMPUlr97L9gjNYByIHZ2Tg5cz0HV1E3jWLtV9Jjjlnji6Zn5/P7u5u6/0OHnODOQcf+8pqh87sHJBcLBf7ngr8vlw56c1rXvHgDnmVBoaGw8HwQav1zG86MRgMmmheV9HAr1K/o2UdND6zU3TkNtpmsGq2YuE6EzESTdovznAKi7xMmxmdO/tAWRhkv3bPvCLtqJNgdkaMiTfYOFDRNwdot8OKS/FEIYVx5Xt+g36MgKzwrA6qE8k4Bk8uJtmXIZCdcg3n8tRg56WozAeQeuMkMBwbmmmcigbRa2ewdbWHJy353BmeqTvq5nkOogYjDjp2dka9Dig1M4fe8I5Yrl1dXW0On2NcCQ52ZM58Z2Zmsri4mNXV1dxxxx2td2vTF5Atjs+Bj7X8RsgVxJEJQCl1bW5jTDg3irqRiRcxGCRYX7FvnDS2gZ0xhp6cNpdv4Mo8E6vyTNl4jDym+CNnbIyDbcx2ZrvxMwBOjK2zo0ox3Vk56UwhGW9QGo3GywQRJBvbMBYEYI5vb2+vdZyr6Sin8naErD/GWDG2GlRwXN7WzvdG7Rit0yz300aNkDFKrqFOI1Ku94oAUwJEc55BX+BFCVZ+Tg1w/pzioGgkadRuR9eVAfBTqTDGl99OkT3x5tU73FcNsgYxP5+6/N4M9MqIv273h2YhsJC1IhfryNTUVINmHagxKIwMx4f+bm0de2Usum0d914C97se3lbpHz6zfaCPbq/pD5w2z0WebOiyE/KucRZ8QMXRPu+wxpliRwZndq6MC0tDndGxPB3EjTwYFxy19zs4UwZ8EGhMR/nZtmtOvyUjMZuB3jt7NpPgwGSHbt00zVT5fa7d3d1tnr+zs7Mvs6PdXe13QHLG11Woy2yHaXh/NxgMmuy2sil3Vk4qKFh5aYSFgnKABq3c5hm9TwAFAf0yCBhWnbz1Kgcbu+kInKOXA1aDNeXBNTzL6Ksi+8p5VtnUFUNGhnZctKVuTjJvarSNUrtu2orM7BD4TV0UnllRmpGKn08fuNcyIjtM0hhyXfcPsrUTr/VVGs/rt50p1cyD9rJPo2t/jNd327CNNJ1RnH322RkMBs0KOd4pwEmmVSYgSPfbgMGgwg7XmZ5lWAO1j75A9x10nWmSqTN2zo5wlmtra63MyPN0yJA6u+wHPeMzH+dgIOYzpDY3N7O6utpkZx5D27UBVnWq1h8KMjzzzDNz+umn5/Dhwzl69GgL4SML04f+vq5U8j01uMMo1HkDgygA72g0ytLSUmZmZrK2ttZ6mVMFljhwz1s4QFsWZj7qeU4GFuiDM+BTHhRe8IIXHLthqn2L+Tsezt+8IAIniuPw6iUcQ90djOGiQBwJ7EkwO3Y7QoSJ4CiehLFjsfI5QHSlfr6vKjPPcLpMH0B4NX01jUMg8xpwG46fT78tN+p0oEAWs7Ozzdp6G4bHrdIaNcg43fZ6cn8Pn2zldV31pfXJ+OwhU5PU74lk64br9jJJSldg9gQy9y0uLmZpaanpJ89Gb73CyGPImODoaIvngDzWtN2omnaSIRL0PX/EGNrGqu4b1dt5mfbg+V6EgL4Z+Bh08QIe6DhnuPSNsYMq8qSzdcqO1SCp2ovn/kwhuu3oDjQT76CogRraqVK4zsSrjRv0ITf3p95j3t6MANnKwsJCFhcXkxw7CpwME4Dss51M8djnQGXh+whW6Ip9UvXP3jz51Kc+NSdSTjgoPOtZz2o6Ah/IpJ6FXZ0JAkLAq6urLdrEDq8aNsZsWsmGQWawtbW1bzYfR+j76rJNO1AcjRGSnWulqfy5Uat3ZBqR1InGpM3tOzNJxoqNnJ2+Uw/tdVChOKD6rH2QOE7XsrdTwDE5CCFbG4zbTl9xFqBiL4tz+2z87G63bJlYhhOH4rBzYezoP2Pq5Ze82AkwArqdmprK4uJiTj/99PT7x1bNLS8vNxz7YDBonCHP6VqIQEZk6oxr7YAqEnSA9YoZ+o2OoK/oDhOaPJPgxHdkDLwpjWBH3z23YQcPOOvKJFjFU4MjYzU1NdVw6j6CG3l47LFZL8H0PAn9Zl7IyLquDkTHCOKWqXXSqNzH81Avq6jYJ2Q/xjMNMgnijKvnQ5ArfcSGnRVWX1epPwdI+mN528admVY2B/+yu7ubxz3ucTmRcsJBgWjlCUIjB5zP1NRUa/WC5xho6PLycsN30XA6zAB4+ZhpIyMMFMkTk0ZsNfXqMubKUzra0y7qpg6MyLQEgreDpD18Z8TmIMCzQVNO+ezskvZktpXKRlAnJkF9yM3XWaGN0mww/DZKxyBMtZn2SNJwzl7CaBTmgIhuca4WgQAkypJFt5vxshxoa+WzK4dsgMBLSKCJvEGSN4x1jYllzbjZ6HH2zjzt0NDvuiEMysVjTLbse90ngwQCEpvwTJ3RNs9f2b4qAGDc+A5nWGldApP10UHSffGKsRpE7Sydwdj2+PFCFjvMOhFsCtNg1HrDnNL8/Hx6vfb+B4MNdJcshWcir2R8Ei364+Bre3Y/kR/j5rZPTU01WZszQ88hMhYOSnVhyImWEw4K5vvrMlIrIp3mpR6gAIQzHA6zvb3deplHF+oApSEEO3BHSNC5T1JECKT2debdA4JREEicshkxV8NLxs6PNlpGlNpe7iFYuU+02ZOCoIuujT88232kH3ZIIAgMiWeAXowcbbxGPlZ602Fui9EvSJUUufL+5kK51/svTMlgRL6WDABZ1mzOwd+TtfTTwejw4cONXBxQ0adar7MoZL21tdVCj1znQEgdRnD0m/6SWVcaanp6utkg5T0CrsOUGpkrbe9aP29n7x/qoz9eTGBHbjRLBlrnlOgzY+1n+Dcysv4ZcPA82uBFDXVOk6zFmaeDUKVIPbdnvTYI4n9AIgHMWQz18DzkTptA/OisF5XQPuqljQQ4fKL1kYAB6DJgRA/QIc9vfblywkEBx2Ehg0K9bIwIjUIRDDAQG5onxbrWQvNMozKn4En7+GY7AgaKyU+nyaZZECLByM7RiJfsxek69IAVhcGiPTj1SgXV1JH7rJB1BUhNKbnO4+IgxDitrq42beUznEmdD8EoaiZTA51/+3MHW+pcW1tr/oeG8D0YG5km8q2BFjqQ3z63BnlgmKBqr5HHUXoJLIivTiLb2SEzdIT2YIR1VQ1ZA4ZMvd5IBUCy3K1v7CFAx2mjSw2soGTqx0EBjix766NpI8/9cB2LD3A8BgsGN/Pz8w2w8TxABXXOnB0krG9dNmL9xWd4wQvP8FEonoytwcAAz8vkcdbD4bCh2zxO2IgpaQdL2uvgT9+8yMTtcpaCb0H/8WH9/vgcL/ynT81FdugNbTSFeSLlpOijuvwwGTsyI26WpCGE9fX1VrrmgXTE91K5SoXgeI0oUISuYGADrhNE9R6ebYoAwXq1CtfyN3KgLZWDp/7jreKgEAjrvVYqFK866uqwkZXnXvjMDtiBwGuhHZT4qejYnzmDqnMjNXNgqR7Oyc7cdAr3wq0z9jhcgrQ3QNqp2mjsXGgHdXjVGzpIwLHx01Z0xFmf6bAqb4+D0Z8zLztJ5ia69B5dpFQUzjPsgNwOKBZnoHZsyIH76mZInmlHyDPdLvQR5G3nx/XVfrE3AkWdcLV+42eQiVeq4YgNNnk2c2rOVi1/6rZdUJhARw4VVJqitA2w4sh6bP0wNcQ+Esvec2FmD+ybPL9jcIudAZzMgny5clL0kZ0lQgLFOGqDPKwsKAMK6aMMHGWtIPyfjJWjRjwL2gPJd0ZjzgIqHYJRghLsbLzSBiOxwzcyM0qn/dRf0zs7HDtWfpsLrQZm581ndZ0yv7sCWr230kaeiKQ4g0JOHl/PMdk5OThTJwHF13vtOv1m1Rn/Y4DT09NZW1trVp7Qf3TVwapSa3YGdm7otum6pH1OFSuTknE2bJlW/ewCEnUC0PMj6+vr+yZysRf6hl0xNiBYijMCZGxKwctQa4Cm7x5r2xX1kUE4uycTI8N3G7tAjUEH9KJBETJz0K57VFy3dRgdM0hh7E1Duv0ADds2VJ19G3bIOJmasT+qDtubeB08eS8F44hcmOMyS9BFC5myQiYGOwZxJ1JOij4iYhEBj8cLYkA+vdDoiEjtnY1kIc4YGCQ6aWXpcqpWAAyeQTS/mLQ3EuGgWFYHJcZgOwupzoT7jR79jKqkNjTkYRTpgTXKRR51DsYo0sZrpJ6MlwfbSZmj5Lo6X2Qk5WzKMqQPXYGnZofQQ876PJfg9oPqUP6ZmZmcdtppOXToUObm5nL06NH0+/0WrWIHQv+MkhlP5LW7e2zj1sLCQpIxsmay2w7XOl4XMlimntCuNAljwXOQk5EcFBlok2eaO/ckcXUmRvw1SJEN0YeaEaCf2M78/Hzz/97eXtbW1hpbrY6/1+s1ZyuZ9jRIMjgkQBJcK3VYdQQ6yPrkTMbtcfBD9s7qaqZtPcbRe54BWXmOkclejy0Axr4F4GxakoAD3ceeBtOiUIaMN33yJDPPMng2cLCuVEbheOWEgwKCQ1iVD+v1xiceJmOEXM/+oNSJGNfpdLouD6NzKKmdD2mt0XHlExEU/bDwTJl4ZUGlm/xDseHQp1qnUb9RTdI+EM6fVUW3bB0MzW2iNHVCPWkvvaXfHmN+Ywz1OtqNkdQVRaZVeG7NGGij9QKEWlc12Tk4+xkMBjl48GArK11ZWdn3TOpI2udnOYiORqNmySs/OEeCKc55eno6Bw4c2Leaw4jT596b9nR250le67T1EzCVtDlvZMhzQdmWVdUZ6wF6z/iadrA+VAROH7i/bha0PrNBFaeIQ8cOzMsn7WMdQNTIAqfGuFEfdVT6kvYwHrYpZ+vYpwMiztrzhV6SSj/QhWQ8Z8OYIVfApXXEjp0+ModggDEzM5MDBw40b58zze6VSAaY7ocnwH3NiZSTyhS8OqNGSDpth1X5SDsKGlnpAoyJibauYGJF8iDXiavaHqfsNtp6DcqDQh3PuFBM9w/j9IoY0zVORY3I2WSCcfJM2sczjCzpuyf7jFJMoczMzLR2mmN4zlS6siAjsiSNoyK7c3aAUTmIOpvDWHA0Xlxg/hWgwVEUdgB2GvPz8w1vOhod20GKzmxsbDS7aC1P5Abim56eztLSUhYWFhrZG4FzLRmt5VSdPWPkrBD52Al0OVqu9UQtfDPjDAqlvzggrsN5OkvZ2tpqAp0ROrZcKYWqB2RhOEp0oh4XbRty9rmzc2wPgQMP1BOyYOw9p+AM2cEJwFWDsn2En2PgYX/kuq3vBn/03cvmsQUy1729vab9piIdlJx1Y7t+rp078tra2motkcbOsQ/G1v6RNmM/nvOrdP6dlZM+EA+l9WsP6TirFGiseXiEav7dkdcIJEnr4DQip9GG0zP+xxmbF6R97gMGxYDTPgc4rx23YnKN01rfx8CS9lFMgXiC1Gviu5wrDsHKjCI4LXRQMo9Z5eOJccvFK7RMvTh9xticusJdQkuAUMzBe7LefaSYhmKBAoaAM5uamsrCwkKz7+Xo0aPp9cYb8+qxCnfccUduvfXWHDlypBWsPW5eLkvgIW1HBtZj01HOXgww6Dt2wnfOwkxReAmys0f0wnrO9558T9orXTz/Zd1ArlzL5Cfj5yBonUbvPNHaRX/6e+pdXV1tOTsHSUAKY7uystJyonUJp3WSPhvI2Re5vc5I7YRdHLRhEBzg7FxpW5LmFQEOQtWH1KXAzrDxebAsfH/06NGmbgIh/UM/7RccyJCBD2qssvty5aQmmlkrzcMYcAcB71UwWuxyRB6cOintTR9WhNoxUyoYNe0zbdGFYCsF5PoqXcQ9RgOVO6ePRjkoXJLGEE2R2Klwj5dZOutyumsn4gzCzqn2x0ZmBfaiATtoI1uCkMfVczXHy7Qsa+tAlXsNGKPRqDkWgLY7cDPWCwsLDe1k5D0/P9+c5Lm6utqSj+VC4OKUTS9nxGmh18ikGiRjBrK0I0BnqZP+4ays9560Blh4TNEJy8yT6HYYBMtkfOquM3CPgYFIDU7uL8/yEl4cqfWWwHXw4MGGiuPgPdoKwMM2u0Al7TUtasTrbBuZ8oyqNw5oPB9nbwBlv4B8fTYV42bHzmKIOgdR/YypJfqGTKEp0WsHGWTlsXKAxb4J+M48rKOnPCh4GzmG4/SLjiNM1vg6VbdhO6UyL2yu30bqNJ5nMECUiuJRWJQchaHYMVY07Ws8ENXpYaRGCP3++GXnIOgaIHDQXdkMdTgI8Uye5T6Zf61IxUaNEVWFrWNUVyywfwBZepKW59IfJnVNFTqYUD9jhCLPzc21MkPGORmjI+rB4bH02XMVzCtQJ5so64oe5MNJqJ5bStIyYPSsGpZ1h/tMD3puCWOvR7KwgscBGL3BGdnxkQl5vsG6bpuz8zSi9Dg5c6UvpiQ8d2C7MB3FtaaXmbzv9XpNALG+o0N1xZl129mmgQ96hVydlRvpI5sqT7fDQI6+0B4vmzcgQQcrQ+CMETqvzi8m7VV4daXc1NRUa7KeeVpn4xWE8Zs6sDmDO2cPX66ccFDY29vL6upqc0CZIy+DSKcZaK/eMHI07eLDuTwBZUNy6lwFWykafuP8uga5BrKuvtr5J+2XxDioJe0TXJ1OmirA+LgP40dWtNuo0lwo/ax8P+jKg1/RKZ9jHA7IRsJGsu4nhuagTL+tsL6ethJoGXOjKfczOXYcMWuzcVr0w2NjZA7CAnEdPXo0o9GoOU55fn6+yTg45t27SWtbfF5QHQc7BvrPdzMzx177iCyo04FsamqqaQOGbSADNWoq0UgPe0CetIExA5VDx7IPw6v8aBPByJlTl+NLxrtq0VWvzPEOXB/f3ZVRoVOmnAzG7Cxdt5/huUzPddmG/CzPhQJsfW2VsevCKePsjxdAkWmXXfGdJ4cZ5wqmqZM6sEcANkDYfoa+IpsKXKmrAsw7KyccFJaWlloOzMLjgaAr0AUDT4pIg+kUSJajZqkTNAWC88SsDY7BsSIQgLwr1BmCEYedKMIbDAbNOUG0xRxtpUGcMVXkbHRWUbzvNyVV22Ujw5mZijA6cOBCeXCuRj0OsKaAatswPBfqxDnZeThIe7xAt5YV9frZ6AHXQ1mBkNCLXq/XTHLi/I4ePZrl5eVmJ+7MzEwWFhYyPz+fpaWlVqA337y8vNxa7VJBAm1G7wApVY8tL/rD8u3d3d3WfgtnDUwKGhVT0HP0ztlMdYbe/ezggi5wDbLz0kcCb533OV726ufVjY/Wd+sXn1UKkSzO40I7DfhMBRkVE+CQlak3ggJyqRkq9dIW26+dLfK3H7FsoJnos38j242NjQacuE4HUObUoI8q4OU698vyMTA13UiWVG35eOWEgwKHk/FeWqf5CCZpvzTamzUwwsFg0KA7T0p6Qw3ZRUUSyTg9dHoPUqvUE+3j3jujaozqPRAYsQXsbMZG5EhtFGie1IPXtRGpC0XSZuSAspnCcaE99biELgRB4DZNxvMIxsgIp1URCI7byu2gTXt5NmNLX32arVdh2QFtbGy0JgCTY0DFK6pwiAQVlpGiN7wDmDaR2nuynHbYWO2cPWfjyWYykZ2dnebwPlNRdnQGMxivn4nR12yR1VheEgmHDJVG8KG99N08N+0xx296DJnwvc8ps+Pe2dlplsNap7FD9Af9T9JkHNiLgyigzMCzC/AYHNJu23F1/Ja3X6REcLYcPB7YoLl9MyPOtLwMmZVznL/E2PisrqQ9X1OzU1Nizp4M8Kre8Bl1+4hu7PlEygkHBRzv/Px8g0RwCBSjl5r6Oz1D4QkarACpzgABYLRegufobV69ohSnuRZubZOFagcNOjevaTqBgamZgNN7f+ZBxDH5et9jB0hWYCOowcgO0IrrAG2n6ACGHPncE2zInmeSShPITWdwTU29QVLOSHgmGQBZgDNDByn+ZlXLzs5OFhcX0+v1sry83LxgxQa2u7vbemcuQRgHz0qZSrOhP6BQryN3UPTKHWdpNkJz7QR1Hwfvnaem+BzELV8DJ+sZzyXT9aqmGmwYC4KZKQ87bWej1U6w5dFo1PIJ9JO24iSN4KmTIGZ2gWcYfZuq8fhVCsYB1PpPezzO1lcDOdu1bcaZoD+rtgvb4A2w6KUzIxx3DXr41C52wXbj/tSMn2ycuQ/r4JcrJzWnQLqGMhlB4zhoJOiUAfGA2lHDCyNoo2BWUpjT9kSckaSPZk7aDt3pN/eTxhkZWgGdftnRoDjVQfs3TtURvVI4tMMZiBGoU28bop1kMp5XQPkoyIRgWFF2VfouOoJ+m/YxTZfsD37O0Oy8QJre8QmyBPUx1kbkDnxGZuxBQPlvv/32rKysNCvkCG5Mvu7t7bXeyoUzxBFxHIqNB52lbabyCFxO6RkHr/oxyq70FWPAhHeSZqOc22CHx0QkNub5GOTu4MY40X6PEbQV44oNI2dkXbN4rzKibz4zijHj+Zbf0tJSc1IyCwiw/0pbARKcZXnuzAHB7bTuIOuZmZmsr69neXm5uZ7Pu5A3gdugyb/tB2hTr9drzjFaWFho6iVDNW2YpBW83H7LmjGvoMv9sxycZdX30Pi7OysndSAeUdF8F4LxEi2fe++z0+2AMFicdQ0mdjYI3FHX6VS/32+WtzHYyf73EXgzHE4paa/BNlpzpHaW0YUgHIW5H4eNA6BNGBbXIZvK7TsA0jajSPpFX2xQbhtKU5GEjctt5h5QXc06jFIdPFF8gjibbeijgYFlSnBGjxhD01dc7/6RvR44cCBJmuyFttgQPZdimoiVPDwPOdYMCnnwbNpmxGmAVIOF9Q97QvdNrdmOnM04AOFgCWSmmRgb05sEngpATJWaQltYWGgmRgmcXoHj4OyxsYMFwBkQmDO3/Vab8fuikZeDqPWXe6tOuV5kU5081zMu5vltszwfUGCU7gDBuHIdegddzpyCF1u4P67f7U7ay28ZS8+RWA74B56NvtZ5iOOVEw4KPKgOEg/2Gm1oh7W1tUbYNU2ng6aIrERES3hfp1YoGPV4Ix3GVN/S5T7QTg+qDajL8dsR26nQBn5wHt4Mxo9lZUWuTpf77Fgq3VORgVNtHCHK7brcXj533bQnaZ+AWQOkUbODA1kSczvUT4C0U8ARezMf/XWwwiktLi625jh8DHbdhGa6wUEXPaR/lOpkcMhud81Q7QwIutVmjK75LBnTSMmxrMfvDukCB8id/yuQQJcrWPB8iGXe6/Vau5SRF/NQ0Lk4aeqqekibDb6S8aQ2AWl2drZ1eKEpEFOftilW7SAv2ADfZ1l5zPr98VH+PmvNG/N4rjfE2h7oRx1bf498zJ7ccccdzYo4ABu7kwFNpiE9xtSPXdAeZyXIyX4D/TDosj8zAPhy5YSDAhFuNBo1B6sRCb1CpzacYAFi5I1Gzg641saIgOksSgRCm5qaap4LkqrUiA3SQjfipv3JWKmcPtfInaTlyCzsitQxGL4zXeLMxLSQB7Brgs3PwxE48FCneUsrDt9TvykN5OVMzJnG8epjRzGGWx0aARKkQmCv7XVGiLEaIdF/Zx/w4egViDAZr4xB9nXlFc6S+pChqRuPt8eAOnBMRramB80rm3Kwzvs5LPmmLhzb3t549ZlptRr07PCM1mtG46Xg2DX3E7gBF/TbAK1mPMirOi07bN470e/3WxRZ1SfslXY7aFTwZ3swOjaCh1f3GNUgwKtEDSaQebW/CjrpL/Whi6Z1oap2d3ebHfMGNgbNtmX0xoHXPgMfU32DqXF83Cnfp+AJEWbUzRmab8MhGbkZsZpbq1EYx88gcR3ZBCjcR+ialvBxvjYaL1nztQyaVwLhGKxIdhj012uWeVavN355igcXA3ca7ijeFdCc6jprIGC5/TbUakAVlfEc99H/e3WEDb5SDzgR01N1GXBFOZ4QY5wMKmiL6a3hcJjFxcXWwW9GR3VMqiFbB5yh8h0/yIs+VrkjB+S3t7fXOi6CjMb8rQOKdRndrkg3GW+WQj8IcqY3QKfMHVkHR6PxijKuczZhapEA7SCBDtMnLzs1kifg2bYBfOixHaztAH2pWZF1eWdnJ8vLy40/WFxcbD3fWUqXLpHxVCqIsXS/8C1ugwMbNusd5NiV7brqrwMc8jU9VsFwXZnkbAyfZRv2snPL0tSTwdaJlJM65gKHTcON9lHELn6LDvb7/SwuLmZ2drbh2Hz6Y6VFjASMUBFSlzNlYEBYFDttZxUcFra5uZmVlZUWJ4wSVAdOH21cplJqmkqdNhTq48dO0rw8g039Nir671Uim5ubDW3nSVsjMQqKVtdE25Hakdg5IpMkLc4ZYzTiRuZ1ctZZiflOdKWiHQOK0WjUGBd6wk/NVnFyGBCy88Q//+McTFN4d6ppIPQMZ4JxM6fGs230tg3GDsfV6/VagcXXeq7HNlgRO2jQwZmxcjboCWZnmzVbc4bO8xj3CnBMYfl/6ofic8C2Y7R9GeywOxr5W3ewC/TOq9YcjK2L1hf6Qx/dHvpCvy0DAw2u9byNs6yacTLWVa/RK3/ulXjUhT7xGQsrrG/ORs1MnEg54aDwf/7P/8mVV16Z9fX1BgmDyhA8jfRntVEoCDylHWbSPjKBzjMBSD2kQ85cLDT+9oAh3GpEnvzhsDUETxbktlPswI2eUSg2CDm7cVbkoGAkZxTDmm+M2UscrXwOKN684gBmo6eAcGmLHUHSppdqAKbUzwjmFdEgF+8d4Bk8t6bO1IeR1KwSA4OzdvDC0dux20hpb102yu5dZw3OgNArIy87IIqRoB2lKTo+R2YsYzSqNtVquRuQOFv1UfQOugY1yMTyNdon2OEI7VABO0a/vGPBmQfyMSjc2zu2/LyerotMjdzRi/n5+czPz7dWz5laZpyq/nAttoNcsStfC22HrtrZMw4VuTvYIRP66mCJbdMmz5sxZnUFEbInyNkmnO2iv7YX+mAwTbnxxhtzIuWEg8K73vWuXHHFFQ0nxoCwBtkDa8RgBI3TQiAIzEtZPah00AJGkNzPNXVOwQjb6+WroGxsKDRt4QhbvjM6NsVDvzzx6XbTZjsj860OaKADUB/vN8ZIvCLH/bCR0j4HQNNgyNltNVqh3UanlYelOLtz4DKKc5ZnORA8PJFLcfbkTIJ29fv9LCwsNMZOG5LxMl3urROkRqSMHcc7Wzb0nbHwXg3rDH02iqUNDlRuP+PCOHlxgo+Hxul4AreidWzBFIKdhR2pgQ4yYO7BAYRrfMaP6Ro7aGfVdW4K20zSHLfNBljbKb+dRTm7Hg6HDYquAIx2+ygIArnnYLgeuqdmNgZ4ptvcHoMTz425v+iP7Yt7TZOaYjRr4Pcw0zYvraddBha2S8a9MhI33HBDTqSc1Oa1isIxEiMYhO6JWAyNQa+Nr9SIM42k7TT7/X6zXA6D5xoU3g6BwEV7vTY7GaNhn7fDQDHp5z5a6d0vv1i93z92KiQTShiNI7oVyDIy0jDXXJ2UZcJZN1ZM5Moza4Die/pmiq/rWTgbO4KqdFUHHDAoDk6MmSkTUwpcz7ONnHES/X6/tbbfmSNjhE7V4IGOoWdkHIyBESIyxBn4SBcoUKM76wxy8nMMPugn9TmbImjanng22Y13rtNGxoUMinZY5+kjOl2pryorZ3wUgoGzUuuV5xynpqayuLjY6DfjxvjwbOSPbHm3gJe8VtSejF92w48zFs8F0E6vBASMMRlcX/Pq1VjY7d7eXjNWBqrYopkSgoQzJ3TeK9H29sYLCpx9mnriHl7AYxvmmdYt9/lEykkFBdMVPJDMwJMdRpT9/rGzcZwF4EBtZAyKN6rY6dtRMSBWHgsBOsgZSZfCGjmbq7OTrlyd17FTBoNBFhcXW44iab/JzHLhM5TRKXev12tN7qFItTglNQK2Q3LKSd9cHBgZh5pxJGNagnF3cKNP1E22aOrPAYyVISBi6Imu9uNIt7e3m52vpgYqmjpeUCRLnJ6ebuhCG+LMzMy+HbCgM+sHcvFcF/Ww+soO0vI2yjYtQSDjPk8GkuV6BZL1Gfl67qmLjrN+uw4y6Kpn8/Pz6fV6WVlZaY4LsZ5Yh80CMI5+t4UdFbrkF/Q4yNh+9/bGk+kEFTJnPwed2NjYyPLycnq9Y6uN0APAgxeRoI9eeuuJdmQwPT3dmvM0v49u4rd4hsFeVzEwNpDDX+GTqi54FZOXnydj8Oxgb6BNv0+0nNSO5q7MIGlPtNIBBxAPBCnpYDBozrPp9XotFOWZeq8r92Scr/WhY04rMRAUoq4coK3wuSiH0XGy/10PFfnjKJwG8h1OzRRG5eqdZibjFQZ+TwWG4OVr1EcxJWW6x06ZzzEII5jRaPxOYMvAfbEBOwUnmKMHprkwahwCcqxZwN7eXmPYZGlkhvPz8y1KxMuQQZs47u3t7daqG2QzNzfXekGJaSn64HOFkImpMOuRDRRHsbm52YyRN9Ixdg4I1qmuyeV+v99Cgv4NkqzUj23FdIPHzQCvZo/1nRC+x8Ef+Tmrs804OKNfU1NTDTKnvczj+ScZv2SLOpz9WNZecOLVUGQBGxsbreA/Pz+/b8e7wYhlceTIkWbnPDrMs22LlqFRegVPlVbCXnwvn0El+lp00TaA3H34IuNk/1B99p2Vk37zmqOi0eRgMGghRAqDbE7QfBwnY9ZDuuyYPBBW9qmpqSwtLTVBxejP1AZC4dkgGZwJQq8oj0H35jwcUaVP6LcPQiN996oXAoLb48CIwSBTFMaOk76ySsmZghW0ogPzjjgi0xbIloO8cGqMR/3pyuLoM58hlxponEp7P4GV2SADJ2WKCMdAIENe6BP34lwJLsiR/TaMm+elkjT6YacH4PF4IkOCCecx2QE6s8MhokM2eAdY98eZqxEmQIjrPeeAI3PmBGBxwKMNyGl1dbW1IgvwVSdJGR+jW2Tjz0wTErhNu/laO0CftIwcjKDta+zgvXqwLlBhnpA+AMA4VRfZYg91lzw2UsEc48O4Olugf87GnLEhd/TFuu9NsEy8+9BD9JGVnJaJfUYX23C8clL0EYPKZh8/yGkcjbUROF1yKoeD8HsBEKY3lRllG0ENBoMsLCy0UDXtrWku9cHD1ll/zzcQCCraNmI0InCwMt9Je4166n02clNUpl4qtWGKriI1fpvysdzdFx+GZi6TeuoyTtNmXGcE76BTkTWyYYWP0XilZIz2nUWRPR48eDBzc3MNnWC5W2bUt76+3oxRr9drwAg0RDJeieSNW9anOp9UnTrvVCBL4J4qx+qkvbDA7TAY4JlVB/b2jq3oYWk17zBBj9Al2mqqymPG8+tOfPebFUDOOJ0ZOCPxHiXfB5Djuaurq02fq5O1XpEVGBh6DwI2y/OxZaN7zj4iCJC1Oqj75UGcYwRg9fwOwZugg8xM8TiYokN8x5yA3/Fgf4ieVlp8amqqya6wI+g97MUgA7s2YPxy5YSDAsbcpVAM9tTUVDOpSyNQHlYs1ajvNdrOPqz89T6nv3YqBJa6CgclBfUbJXslj40VA7EimgJD2YzSMQwroldnIEfzoVZqU2ZOaY18qmP2M0231DkYZGHE6XFwAKqbeHimU2wj6pr5OIuowZT67NiSMcXE30ma5Yjwu9TtvoP8vHKkOlWCAuPkoI5D4HuMifq8HwC9YBECjgH9op3MATi4MH4OfpV+IZvGFiptiFxNLWCX8O1zc3PNRj/bgAMremmHwfMozkJxuEbH1idTPDVo2Ubt0JeWlhr5AeiqTdnx4qSxcZ5PILB+Wk6Wles2XU1/0UGoZDtcKG9ntqPRqLXZzNm25xfMdHjpu1c31mzCtsf/jNPhw4eb59Gfeg4WgBS/5NehfrlyUgfiUcyTVmTMwBuBJ2kNStI+z8UTPTZ8lN5oCSfrFQ01/fTGHAacAOSMxFHYEz525vTXz/BnRqV877S90mAMus+I8vyGEaiRBcaJodQBxvDqKh731QEkaR/R66wOJ+Z9AHZm5qVN9zlNdfCqFIxXdbl9tb8OVBRWqXg+w0s2MSK3jfbxHmZPsNIPuGd0xxQPbcJ51TkhKDcWG2xsbDRzF4yjHV1tI23povI8Kc6Y1uwR2W9vb++jCSq4wh7suL1jui79xfH6/KCaNfJ8HJ6z0opSsQWoEN5W5wzEGTeOFHpvfX29yX5qoLMu1iWvzmhx2Lz/gmuMtOmfs3zrKOwGlJ11i7/t6B2Y+RwQwRgaCNAnZw8eO7MQ1q2qU/al9uF3Vk44KHz605/OX/zFX+SZz3xmi4Ok8XaijnYodr/fb9Iwp5wOGqZz7EStME7HrGQoAkKkfq6xI/CkEWkqQgVZVOOz4nGfr2NQa/BgoJKxo0Q+HnBPmDuYEahqNmLU7Z8kzfJaK7M37NjBm7Khr36vQeVw62qvmrnVyTc7CL6rY4p8nDlZL5xN4ni8mcwZDAW58hzLoAZUZELbfFRDsv8NfUb69InMgYPPHBA8f4KtcL+ds3fgd/HPyAhHDXo3Lba7u9tM1vd6vWaJrXn0qj/01bro7HN+fr61O5rCM3CM1n87O66hnzVY21Ha3iog4e1lXONlrFtbW61JcgMLg1YfW429095kvDBkaWmpCViVQq31wJRYtrTfqN//m0bCzu3IDVrsQyx7bItrqt+izunp6dx44435x3/8x3120lVOOCisra3l6NGjLSRS0ZY/M3I1PeJVOKRDSVqOp3KgKItXyXj3I4rN3+bnLSScFopSFZGMxBOsXWjXA+1lanXy0RyjkXR1EqarcNwYJ8aGQrFqCFk5SJjuYJwcRO0UarAyLVgpDoyHoF6DHIHfQcsF52Cah/uN8GlblRPjTbZH3yv1gI7QN3SB+h0AGTv6Bv1DFsMzHficySXHUDD0Vq/Xy5EjR7KxsdFajOF14xSoDeRuqs+yMGXjrNwyqquE2F28sLCQhYWFJMnKykoz12e6iucYTFW6i6DM0TS0B/30y3UcyIzisWV02bpIvc5MfS/PgCZCXnXOpyJ9Z9VmDVwGg0FrAQy6RDuh4JirQf7IkjH02Houw/aTpHnXsoM9y/MdlJ3V2N86W3FxFmJWwy/wQjdPpJzU6qOkTSMZYREAvJGnGiuN9ARyMnZcdsROiRwBeR4BpiIgrxLCuPlBQeAHawBKxkiMORBQM+3EILnPQc6ZDv23M3L7MUBSc6MnO1YQlxXBztgo2HSAUdrxOGAboeXlsXN/6L/TdBxWNda6dtqcKPeZ/sEY63ptxm00Osb1LiwsZHFxsbmevtYMkuf0+/0mszBlUOedjOQ8lgRv2uP+DwaDnH766VlYWMjtt9+e5eXlRm8IIj522ggdh+ssx/2utBzjTkDz3gofAkf7aSdOijaZo6YPzvRMU/JD8HKmZR11dlzn6JxJIxPGtd/v58CBA61zxzxuyGE0Gi83ta0YXPAcA1HTrs78KrVZV0uRmdJv+ykWQPhZ1nf3gToAoF5CS71LS0uNPvtIE2f/ntshYNm3Ong4QFlPT6acVFAwYjKlQic86eLJDkqlIqykTsfoSHViTsfNvzpLoE01rTL6ZnekFXV3d7yLEUN2Sozj8y5F+spA87+zBU9aenUT99XBrYHQylCzAgdo0IxXHOGgbJTIx9SaV4c4q+N7IxeymS5ayrpgp28lp+CY3C+QIMsDFxcXm2BTkShjg8PgqIx6pImDkjM9B22CyurqauOsPYGcjLML01hLS0tZWFjIzs5Ojh492qBm9IBJaSgm5JWkZeie5DV/7HbXcUD/PVFpm7Q9LS0tZTAYZGVlpaE6HPwBKgZe9Lffb780i6CKDv7/7b1psKVXdd7/nHOnvmN3a2CIcAIVMZgpUGIyhjgpqKSAMo4NhLKdEDuOK19sHJsMkJRdSRWpspPgxETmA3ZCTIA4hcuIQaEwZSMbLJCwJRAGByGDwEESQkP3nadz7v/D/f/2+b3rnoaW1JJarbOrurr7nPe8795rr/2stZ619n69yxgnh3F4jfJZ3VtB3+14VEcLOsjgDNb42USi/NbrxIlksMWyNa3b6/WysLDQKrnIE7Dh1oUcXvdEru6DdSYZnVu2t7eXpaWlFjkwD2yuNNDXPAOydLPjUCP56nx8t3afjIJDXYCGiWTCeRcriuDEp60fVIM92yRZXV3tZPd9PZ/Z87QhMujVsk4rmCMMhOaKAwsU4DBg2QiRC/DYAFVTGfSL/xvgq1zc/JtxXj+eDV6pE6VcR0NJHZrTD8+rOckaBttrNDXoviNTj9VOAvsFDg4OWmRpagRdM5VTQ3fPgRc1uoM3h8yoCDJdiSwZJ/O4uLjYIgvz5Pae5+bmsrKykuFwmDvvvDN33313o3sAMCi3nZ2dsZvNaq6lzpcjuqRrSL3rnYjBa4D/c64/wFrpPeSK/PidKUR7v/SDefGatGOA3DCOjMPUjIGY54xLlJtqRV7onqNDF2/YkYIaZG0C3OhPHSN5JXSCI2vQ88Fg0NkvwFpyTs3r1HIypqEDprodpRhLkIWbr0GHmV8bFb9o6Gza/aaPPGjA0fzb/Px8O8aZxKfr0iu/ac6u7kZEWZ0gRkhetEwu3g10gL0Qe4Yex/z8fBYWFlqyl9+PS0oyXu7v/AbPr9fXhkI7+qlgzOfwpV58VhYvUgDD56LYy7IXWI0Vi9qt5me4nrHZSPtejnicYOv3+80A19wNC8UGk8Z9TIuZJvNnjIXfAwQ+YqMCGnoL6CJ3okeXpjKGqampnDp1KnfffXfH+eHe3pkOJ+7EOTK0rAxO9mTt/ds4W+5eAwYHnutzneqY+A3OHXQNBpU/db0xN/xN1ElJLk6AcQKaBHnNz89ne3u7GU8MKrhhkMNR8/plvTMne3t7bWOiKRevJTxnR8bMG7+nr4xjHI0E8+CNkM6LMIf0YZxT7IjaUUGdC3STzYXVYDAnrHvnxGw8v1u7T0bhXe96V57znOfk8Y9/fAMi0woAEi9FIeyk3nd/f/9IosUAiFD95izeb+qdm0mXa9/c3Gwhn+uYAR4Uyl6I+XiHhexg3N/fbyCBQE032XN2AtLAzW/sgeMdGfxM59AMtCwKrjWF5cVhQAJg7Jm5EgMZOLSthtrPdaISedY9K4TaBiiPhcigHjZmimd2drbxrA7zaRhtFwyY6vHCcJ6leqGmbJAfOjUYDFpS1WH/cHiYDD1x4kQuueSSzM3N5Z577mn9qTXvGDK/+QvjaoPlv91XAJk5Rves+wZIgzP92NraauuCahc8b0dl1aiwFpl/9Nz3d4TmPI0/r56sHTbuwfEj3pHryMm5LJ5tvXM/MXpTU1Otagpw9PHejoy9htEd5pTxel2hhz4SxmvGawQdNlYgf+dHMCL83xtIuZedQNOONZLF6UBPvvWtb+UTn/hEzrbdJ6PgSXeohfL3+4dlY+vr6804QM1g5TzpTKI9PSYFUJ6enm5WG2MBuCBMJt+RRPU0UXKew3EHNYHKBNhbqzTZuBAXUKl0Ca0qumkv95XFg0wtewOcPXuqIHwttJJB354y43AfaZWXNIXjRc/3boC0+e86v4zLygyI4LHXajQMIF4a4IiRBMhZdPQLkOffNWo0J41j4N/i3aIXKysrufTSS7O4uNiJxiwzdM3GzB6iI0QDigGKfiM3jKDBjWcwP9UoVLkhe/TbuTCagcnOgteWx4Xc6/qxfvskgRo52niCEf7Mmxatg/aQqzdug2YgZmysmeoUIB/+jXyqobZMku45XBVzoEf9DEfC46ghMKc6i8iNd7XwDBsU/o8TgBEct87P1O4zfVQnnImmMxgAuHbz3T78CmH2er2WXAFM7W0DEhsbGx3hokAArMGBZzokc7jKOFCW6jk5THRIyOKt1rlGInjoKJLva4NGO5OSj1Mec4X+jGeagmFRIAcDcNKlesx1G1QAJThxUxPMWfXU7P1abgY9g6GV2bSko6sKVkQvfO8kJZ+xWO2p1gXq58zNzWVpaakjW2gBdPH48eOZm5vL6dOnc8cdd+TUqVMNPKD4DHj2IA1sgLn1jPFX58n9rtyzvUVHDI4oiLgBFH5n4+CdvzTTjOMA1/rLc/k/uTnGCtWH07Czs9NyYD6mw1EUffB81WdaH/25jVh1QmjIut7HRjnpYgXXgnVOLle58AzmgRyTdd+tevy+zhtJ+ZwcEd973FtbWzl9+nSSwzztfWn32SiwQOksAG1LB2dso4HCu/wQ4IJmQsGhgFzq5Tcn8VwAkMlnUQIgKES1ooyheijmuQEU+oBi2FP2xFXvht/a2yAR6VA7GSld5fTHeXieB/PS1SP3fPCZF4cXMPIxnWU6wcDJWGnVI/axyeZybQgsExtVEtBQjNXr4k812o6I7LGbHmCsbvTR+slhgPDezPns7GyOHz+e48ePp9/vZ21trZ27xLOqXNA5ANH6QP8xkvYibUQrleNySBsL5oD+oDsGKudb2KGN3vrFLnZIfGqwK/ZqP7mvoxuaa+45IBLKFmPOvSogOkpypOp14Gc6snAhhWXjvQB2Gpg3r6UaORhDqpFBt3k+v8XQGv9MX9KP6gAxN3zvly9xn+pIe26sg/el3WejYK/L4SodJ1yqvDkKWCcCj4jFCHiaE66RCPkLFM0ebp1QJoakEVyhgc7gRx/Y0MTi8cK0otE3lJV+Y9HrIWdc3yZgursDGBnjjdQ3i/FbAwnKxji90Y6FwnfJKBKqJbf8u861KQpTJAZTc8881zTXuAjHeuRoEoAixLfXb9rFxs0vVrLDwngxGnY2/PzBYJD19fVObgC5Tk8fvhzmkksuyfT0dNbW1rK2ttZ00EYHis40FGN1lGKd47dOvLuKplJKSfc4d8+Jow9+OxgMWiK33z98TzoRA4nMyuGzf8aJXr6vzgcGyG9hxLjgxMEceF7s8XJECGBuio315NxdNagYX5/7tLW1ldXV1Q7V7MjZUR2gC6jaALNWHG1b3s6B2iBiSNHbqamptjb9Oxt0R5ToAWvCFXWVJaishtexc3hn03oHZ2lGeMgTnvCEXHnllUc4w8Fg0BTNCw0hmYMz10zChvtTeUSoxbNNDZnzp7nSxguDyaCU1Dww3inCZkEDoCgHSoTy2MtNumWEzrW4uqOCKL9zngYQMi2AIXL0A8A61LfBMuC58QwAfpxx83OYNxspl9sxZ64Y8XkyFciSLg1gxYWaWV5e7lSi8RvrjH9rmgzZjIuE7JV6Ufm7g4ODLCws5MSJE+2ETI5mp9+nTp3KXXfd1faA1MVZqbsarfIZjTF6rgzS9qQBSxc6MNaa57JX6/k/ODhM7C4uLnZ0y5ui7Mk6MkdG1XN3VJ6MclfuZ406eDa/2d7ezj333NMAzP2q9IyNvZ0R5gxdpEjFBmwwGHT6Z31mPj1PlbrlGjtY3Jt5xdguLS3l+PHjmZmZycbGRk6fPt3ORbI+25ns9/sd+pvxsncHx9vvEDHjYD3n3ldeeWXuuuuuI3p2pnafIwUGZUDGErJZJ0lHUAiZKgUm0eGkyzqZ4IODg1YFwsKqSkpEAAXlBWeaYTg8LJddXl5uRsf0wbFjxzIzM9OS2smoHJNqCVvwqghWdr+Uw6Wt1WP1ouOeBsJKD5giYVyWhXlzgx5zxCKgP272Lmww7HXbODgqq8kwU3Q1f+LIgL5MT0+3A+VMj3Cfypd6QTlkNlBWqs1evD1a5tnvSF5YWMjx48fbsQTD4TDr6+v51re+1YooHCkD2PTVvG81suMoHzsbyN1yq5Efsq8RO2NhHriX54PoFb1nXZkBMJVl0HPy3/rs+fHheV4jABvN0YYjP2TLPdFd65Ub69/gXunC6ogYcM9E1VjXkZEdOxxVl32SHwGPHGnQ+v1+p2TWGOIcZzXmPruN+XUVWo3+jQdne7xFk/d9ulqdRKkQEq/XMyVhb8Kbd7gGr96/9WQwQXgJzjXYe7RXaA/XXjHH1BIZzMzMNN4Yb4JqKVNgpmmSbljO5FTDMDs726nFdtmlJw5Fsldp5aM81gvY3oUjMQM0C8VRhcs1a06DhuwJbb07uHp89Mf5EK7luuoAICN+x/Px8Ey5VABx5OSFZANQZQQYWzeQtWko5tFeJqdxUuCwvr7ejiy2HE0psBCtC/YeqzE21eD/42Ahh5qYZ/5tkNF1N8vcUWIyoiqc27OOWl42AvzefXdkgRyrTtEPR5kYCnR9ODw8u4lzehgve4icq7IzhRPG96afrOsAKWdV1WuRl6M9y9y67EiY5vWNYaGv7NeyLBw9Wvbjok3ua+Nqis1RqpmHsySCOu0+G4Xd3d187Wtfy+WXX94UmFJAwMHHJjDIvb29BsgAgkN7qpYQBr+lPNETi7VFSN6iT8PIAIjQQ5ubm5mZmWkhdK/Xa3yrIx3657wGE88kOtJIuhw0oOqKmJo89b1MUSEvg26dXEcOliNzYEOWpLOI3G+eb+WqBh/lghby51Za7kNeI0nH6HFv/41n5Q1d5oxN9aBjnqO6sNwsF/qH14WOoGeAL04CTgNziI5wHxtwe/H8vxpDmv9faZuqP47UrB/+t40nOmFKwaDsvIFB389wJON1hawcifEc8kHmxA20NuR1A6vX2NTU4Quz0DVHL9DM1cD1er2mb8PhsJ1Qa4cRHay6acfTOu7oynJ09Gq5u2HQ19fXs78/2rntxHJ1XCx/+mUdMT3EOGA0HMHX+Zuens6dd955hBX4bu0+G4X19fV87GMfy1Oe8pT2MIDMi9pAkIw2hLg0FLBkcqrSolAAo3dJEr6hgDUxZ9BESZw0ZlHYQ6zCq2F0nUgWTY1QWOAohLeYOxTHYDC5dYHyUiNzs270w4vO3iHKYq/ZnloFLyI6y9GRgheJ59dHAABs1fDXUL7X67U8wkUXXdTem3sm4+k9Kk6OIzMbJ5cjGrgNhLXU0SG6waueDmtwdNWIqS3ux/3HgS7j9KYyh/01oqkUQ6UOucbRo50VKLIaDVg+1i87F+iAjbXlwBwRRdphqE6iI99K9xg/HFXYaDricqIfuXCd58A0Fp8B/j5m2/SQ14xzKPSvUkuOAKyH1uMa6YERdjKcD6hUEmNmHqzjHqdZh8985jMt/3W27X7TRwyWBeQF50RuMvKg4RypeEhGRx0zmUtLS5mens7GxkY2NjZaxRDlij4q2d7cYDAYG2rbo8ejqQpKdp8zTphsQB/qyYCG0tjAYbBQMifTDLy0Clr0GSV0IslKfybawZ/RrFD2vg0ODoNRdlMRplqq0pvLJwnqSMWLm/mgr+x8p+oDWsq/N4ACepU6sxxtKEx/1DdccY0rTvies2IsUxayqa/6LK7jGmRkb91Gw/fDSSCxioGmr44wWE91TXpO0DlTE9UxqN6vgTxJ6wsgCUB6Xpk3HBjv3h7nCTuKcaTqKJOCBcYKu2AQdFRSk8XMj42wjS1nJDE202OWq3OhXvOVtvO9K5jb2XTeiM9sYPg/39O/SlN5bF5TjmLcl/va7pdRQHkNknSCHIE9K5SJ/QsWoL0z7uUzbQgdd3d3s7CwkMXFxVbnnKQlAg0cCJ6qJm9uY3KYrO3t7ayurnbKHT1OJgHrbH4eoXtLuj1m5w6qQaEfPIf707xYkhEHbO/NC5xWFzrjcSRl3pvPXEtfd2ECKIARi9SJNs+hI65qcLjv3Nxc5/WVflY1AixyG2rAo8oEb92RigHf0anByBGKuVkbHRa6rzW9aP2jAfj0zTSV/1jeLppg8XvOkJcjQ+uuX1bEb1gH44yDo+Dq8DFvPMsRqA0I90/SoedwbOwouSqNvnD/paWlNoeVBrNegSkGYJdj1+Q0MrQxYXymr3CcKEohWuQ9FciX/GZN6trIe43xb88F/WU+WbfjIieMg6n0cY7gcDh6i6D15r60+2UUbrrppnz5y1/O937v93Z4MiuKaYwK0BagLR5eR5K2WQhFXl1dbTSRwclKmox2fBK9cC5STUqzCFAmvFz6wORRCrawsNDKWYkuKtWyuLjY8hYGKi+26kVXesOAjzLT7+qtueyMOeBzUxDmTe2h4DVxgqTPe6cfyMohLpw784Bx91zQb4fZLNQkWVxcbOWnbqZdDKgGaRaeN/CgNzYMljFA5DEyppojsNdlXSURbqNuw2tqCL2fmppq+y4w+kTM6BzjNLeNwTEd4iSiIxdHK3YkoGmqp8tn0KnQSuPGbyOEXtgYWU9NbaCPfr6Ns6vPHHX7lGVAE0POb02XIBcbdjs7lkHtB2MAUywjHCMzH3XDGDpghwv5jZOD15PHj4HxWvbv6D/97Pf7nWPaa+PZt956a/7iL/5i7DXfqd0vo3D33XdnbW2tnRLoMjIDgc/cIFEHWCAMAw2L1y/dwIsFcAkrTRUlIw+cv4fDYSdJnYwoFCqhiCCS0XnsSfccG0Ch3z/c7cqC5v54EkQE/Nnd3T0SRlpZHLKPqwhhwdswsPihqVAAmvtgAOY7npGMAI3yTLxu949mrwqayIlwjCfgXHcJG+ioNOK8ehYxMmcM/G1PHqrHERXg62jMRsqRnOfW4TmLzfs7DC7MkY25wdBhOgvbPLUNlx0DrkGPrRcGZgOZk+yu8qNvyL8aQ1NerBc7ZNYtR6Xui+cRvauREPfCMXPC3N+zJlgr1mPTTsyPCzYsG+aDMVWHyxFJpaqt4+4T42PH+jjHCkNBJaNzS9DZGH1HpsYCdBw5VsNcdW3c8dc23nYm+/3Dc+jW1taO/Oa7tftlFNxZ0wMWjPl7vGhOQoSDNCWBAeEPx8MyEYuLi5mbm2tVCNyHBWgDYwEBjuQm6LeBz4vGIA2VMhgcbswjOuB+29vbzfCw6KemptqLVwwCLFCu5blWEhSOezn3AhBWj8Nj8J/k6Os6UbzqTW5sbHRoPfrhhZqMaqNtTBlf5U2tzPac2SnuvhuEXGzgsXqR1LDY9dpeGDbgAIJlzn0MWjYejiS4HtC01+kkM/2vHDn9MvVYx26ngrHyObJ1RIDDg9E0WJsbt4GlXz5yo75UyvTQuEovR0PWSeu4DbTHZW/cUaQpQg643NjY6OifDYGNIf1y8tUUop0r6w36UvXLbIONu51a1kCvNzqDjfE6kq3PqbrkPtsIWx/t2LrZCTe2OZ90f9r9NgqnT59uPD8bgapHYYBJ0q7d3Nxs5WWEnCxsQHV2djabm5styYuyzc/PN94ML8QL36BIDmBm5vCFLT4jnYWddM8VQrnoC3sFqFvnNYiE3njMTsxyTzbgWVHhEk232DPo9XpZXl7O3t7hS2Fq5YA52aSbuOSzZORtjauyqYvB3mFVLFMULGAbGu5pysgATV/6/X57naaPNPGzHC6j5FxjQKLfdRymvUxxGAz4jcGLMdUw37JE9ixErqPv3Bsdov/0xVQe+Rh7isyl6aH6XM8V9yHCwCHxkSkesz1XdAjj4CgRz9xRZqWs0GXmw+sMmXI/xu4xeX5NwTkqGAwGja7FOWK9O5o08FUqyzplAHWxiikxGzxHOxw9juft3xLpQI9jMFyKSt+sfzaW9LPqG3NoGsqtbmp0DoW9Efen3W+j8M53vjMvf/nLkxytMDEweyHwZ2FhIWtra51yPw7IAjh9XMX6+nrnJRYoPgpoj9CVCFAx7pP76QlCOZz0QyHgXXnG1NRUixoIa5PRgWMO3w18FfwcNjPh1cuAe2a87reVmvFagRyZ1CjK82IldRLL1IsB2WG4+Vz6gLwNsiz4+fn5Rv2Z502OFjBUGsHhu5Pz9tIdbZkucXRlB8DG1SBtgwOY2CDzbADaRgCjg546InJFCbv5Da6Mxe92dnK80kmmaMYZM0fBphfpT02U2xt3JRMy8W8N9nYGrEP+HTJ0ZIceudQcXef9JtYH65/1hWdxD+fOAEn+Xx0L5xjI/1iHTPHAVoyLlmyUTPU490i/K8uCjhk37DAwH+53NSZcs7+/n/X19XzkIx/J/Wn32ygko+MBWCyuemCj2sHBQcvWM4mAbXKUJmDhsAiWl5czOzvbSlTt0ZEfALgxAvYK8AwQnl/yUxN+9B8lBZT8OYvLuxZ9JC6y4PkOj3mmqa1x/PjW1lbzUlZWVppMqhHj2TzXhm+cx8s1rsxA8dxf98WLzAuE+1mZk24lmhPAlJ/y3mU7CSTvDX6+H+MmfK8huukXwJmkYPUKDXwGLeTixWhP3zLxvFrGeIle3Og0oOu5NG1Yr+cZ1heDn3XJRRTMmSMgUxGsm5psdVRPf6txrfkonsmLj+xcmVLC0CWj5Lf3+DBuvpudnc1FF13Ujijn/o7KuIflb+NmB4FoyONEzoyVzypNYyxJuslrwJ5rAGTjF/eEOXD1kOcDvEEXzFY4AkbOGCjWD58xp5W5uC/tAeUUvvGNb+RpT3taJ5POzkYW4f7+ftbW1trgACRvVsIDBwAAau6Bdzk/P5/19fX2PX947nB4mBxi1zIeF819sJX1u3tNk3jxeGKStCojX2MQYUMcv7W31ut1E7z8QSm865PSW3sUKBxGiWfzt3MW9Y+9dxaEAbEugEop8blBm2ZPG3l6gxq0Ec+09+poioXiSKguNoO6gb56rh5fjZY8FnTCkYDnFHlV746/HS04OhlneABrrkeOlSKy80CfquEmiuW+/N6GhL4brK3XlkOlrRyd2iv12HkHhaOaWpnF/AJ4ngeud/Trd6gYHJORkTVTYIeNNcQ9kUPNkzkq6/dHpyRgaFmzfkmQS16Rm6OVGjnYyeV3BnDnQpCNdcrrpK439xfZ0o/7+g4Ft/t8SqrbU57ylLztbW9rlJB3B1IrWz1WKAMUji3h8F8AAolkQMHeJBPBVnIUvr6zF6tLXwhFDaAoJvdGqbiu/tuT6b9t4YlgOBCr3x+90xegZ2woDoapJuqcJOQze7S+h8GL7zxWLxgv8HG8uCMEH5FRW03cAXZEXhdddFEzCDZYSTqA4L56EXieLOdqlCqA2fDwf35XF6x1xbRlDeFtiF0E4fGMo1KsRwCNgRvQO9NRyjYy9INn2RCavrB80BcbunGRCevIdK9lhqOEp8x8Qvd6rXtebFD7/X47vRRddxTjKGVtbS2rq6ut6IT+WQc85koNsfYYh9eGdX9cNADOOLLg3/4MefiZ7pPlhJx5qZDXzziDXOfZOu21wfV2Vt7xjnfkm9/8Zmo7G7h/QPQRrQIDfKDrmwFdH92wsLDQjMny8nI7iIx7epHVA9KStDe5+fwYFI2+GLyx6PYGWMBspiK/YVqr0hM2DnggTCrKSo6EyGl7e3tstQSfkaxHcesCYDx4h5a3F7wXc5IjgIJcfa6NPaPqkVUFrH1xBIE84LnZnOY+O6yu4OkFzDPs6TE++uY+QC/ZyNg7rUAJMGMIuK4uRsvX9A33qhVADtvtoVZ6AkNBHgqdGCfTOlbrSc0D2FkwIFsWNdJj3l14USkgnmndd1+gU9FXy8tzUHXJzqajcXQUmdk4OjIbF2kaSOkDY3POEEyoEXM1pDbqNh7O/Xls9MXOmfdnOTfmZv23IUm6FXZeD9ZRU9fjnPizbQ/IKGxubuauu+7KZZdddiTpBqUEIDrMIcR0nTieEi/x3tzczOrqajuqmBBvOBy2SiB4OowDz9rY2DiSqKIcFuXAG6GhRN7b4J2G/IbJYmKYADzOxcXFHDt2rPOSEu7vigjkABg6HK3UihdJTQyb9+c3dfcoza9DNR9tbpzFXL31Spkk6YAdjbEsLi422g/Qdz+5jjF4PPaQvbDtSXnBei7G8an8jjFxPQ6Ey0Qr0FRKCHk7P1CfUz1LxoE8HY0ADnaCWOCuJGIOuF+lR+ydVl1FX6mpJ89i0B8XrVn3AVBXPfV6vZYbxPt335xbS0avNsUJ5DszAG7k1JJ03h/AHDqB6wooAzi6Z/oMo0dOgnsiN6+xcZGpc3JeL7XZe+f/SfdcqRpp2AjhUHmu/Lw697Rvf/vb9/m4bLcHZBT+3//7f/nYxz6WH/uxH2sA7KQLi6PXGx1oVpO4lS/DOHgSKEtNRm/Ycl4hGdUHs0t2fX09a2trDUhNH9E/uHy/PxZlJiSmv67E8KQkadeiuIyDIxysMPYq7SHX0J6xJ913MKOU1VNEtvxdlRTABBhMXyA/HwNib9VJRMYNmBp8mB8iQMveMrHnbnC3cageqcGJ8RCCj6Np0AsWvD1XGwQDNHIwYLMx0dSNvbRqCOyhEonwG0eDNNNHNkw1B8WzbVSrJ1+pDWRkHUZepm6qt1wjK9/bAGSdIeKyXDF4NnQ12gBga9GHjTUl4fSb8fisMdYqOGBdsRG3rvgZNraMzRGI5eq5qtSX27h5tVwtT0epNNZ5jVodgTiiTA43L15//fXtpTr3pz1g+sgK4sXGYnToBwDs7+83mggQIfHs3cHsfB0MBjl16lTW19c7oWAFE3vdS0tL2djY6GzSqSE8ikIEYVrBHo/fjWoFwrDYAGL5KVk1QFEpYO8eaqV6a34OhtKL15625c9CtBFzKFy9peptV1Bijh3yese1aReMP3LDKNiLqUaS59oQVs+X35sWTLogyBhZnC7l9e8dffj5daOSaUCiTNeF20Dy/H6/3ypl6jgsS35vY+QkMWN0hFjpABscgwk6zZpjfliTFEdMTU11Dv0zZefqGFOKNhj2qK3fySia4jh8omh03fNjCsalyuhav99vx9zzgi+e4WfbsXKlHvuKWCOsa/7t4gjuOzMzc+QIb+uEsYz/O7rkO8+z5ex9V8YI1h6ydUUlempHyWuWeTI+3t/2gI3CV7/61WxsbKTX67Vksbd+s6gYbNJN2FlJoI+86Ss5VLbjx4+3qMHhI8oK+HOM8/LychYXFzu8oaMTBMpRHQZM6KP19fW28Y2JdaiZjH9VqMN2JisZvbbSY+B4CBTKVEjSfUOVP+PZbSKnR8daoESmG2zwMBSMtXqFvjeAj0fJOJJ0jNn09OHGwpWVlU7lFfdgoSArzx3XMNf+TTJ6wf13ynd4jJWb554AEIbLz0R+JAEBM57F/WtljyMl65DH4HnyPDoXZVl5NzLj5jobURvjutMawKqRF0DqqNJ6bwqu0jC+tnrSlXaDvqVcnA2ryAADwHzxHOYL4Ebec3NzR/bsYDgse68d1oVl7QMJfX6QnVsbSDAKGdqhqnjg55qupEy+7luxw8Kc8BxjFePw9X6OdWV7ezu33XZbHkh7wEbhuuuuy9e+9rU87WlPawDBQvHiQ2EqKCM4JsDeiYXe7/fbO0qhfLa2ttrOaKgRqCPvWubNbhggyviStNJQl7UdHBw0aoIaZ4dyXmzJiD5KRh57MgIuRxq25DXqoQ+VHzVNRrPieiGgWHhqhObmLR01OKcAUNhL5Z587rEz3zMzM80IQyMiO0eJyaj6DCNTDVeNxuizgbbSXp4LrsWxsHeLDjk/BQ2xs7PTnBkcAWgLR2b2CmvE6rn4ToYeR8WA6v77vgAy+uwI0wBtgLMhtFHh9y7TNrD7/wY4e+FmAog0/EZExuCxYOgcLVSv2s80u2AQruuOa+iPdbjfH73rGP125Gd5m25Dnuy/8omoGF6O//cmW+Q7LoqmOQqwTjuqoE82dl7njrw9R2DsHXfckS996Ut5IO2cVB997Wtfy1Oe8pQOsDLx9ghcVmoO2C+a8GFzAK2FixIgODxfDAqGYWNjI9vb29nc3GyfIVSMlTe04HnAbfZ6h3sNpqenW79ruFa5QgCdRCvPcN6D/tfQ2xNs77MCStLlSlko3utR6QQWFIDrfnoRuVKoJli5xgBBaD43N9fosuFw2MJ8ynJND7m/XiBe8O5zDYcNPvTJoXkFZR854Hm2Ljl0Jy9EtDA7O5uTJ082nd7f32/Hj9g7pdmjpmjBu/YBZpqBjL75UDscCtM4dW7op2kIGyD+pjTbAO15BRCJwp0DcGTl+bfO1oKF4XB0nAhOCoUgOHMGe8aIrNxHIrhKP3q92KDZeBP5EG3wG9OndlhxCutufo+POah5GcZEq1GFE+VOICMHU5T0mzmi39Yd9IY5faBRQnKOjML73ve+vOIVr2gTYaU0wHnSzAE79LUScS+/ncqgNjV1eE5Sv99v56Q4XAbQKTHlmf1+v1UtsQCdKK1GgAlzaM3kmJpyKL+9vd1eOAIA8xtAI+m+08CekSOlSu0AJMjAi9re/JmO1/X+CfpgesfGhefZKJv7RY6u4HF1BkaG3/I8V4nYSaheEoDkcfO5PS7G4DwC/bMh4Pcsen6XpFGGOAR4gnYOKq+N3FjgzvMw9prbsDzHeZTm5hkrvLh1xn2oOo8+s2Yse3ugjiKQF96xPWZyfswNerK/v9/eP2xjgkPAS5Q2NjZy6tSpTrTCmjF1Yn1Hn8CAlZWV9Hq9dnpppSgZD/rgqiZ7/Y6uXERikpRH+wAAe1FJREFUkMUAMMb63hdH01xjg2tGBLmYMid6Z24crVTja/2txsuU1tTUVD760Y8eWe/3tZ0To0BYRvkYdAvCqGWeeGNOQCFsBAfo+HygCiR8BgBtbm42BeDz2dnZzktjzI+bQ2UR2SMwl22jwHWMh98maTyqeVsm1IlSFjsgSN+4t3lTg0gy8nJ4BuDlyMGyZAHBaToErcpNswfFM92Pubm5RsVgJOz1sOjhgbmHF7INAHOZdN8TQb+8aBiXF08FWgAAvcMpYA5ZwIChwa7yxjgVHgMFEI4E7e1h+NFtIibLnDlCbo4YzIX7O8upVjdZh/gdIGT6y2sOuSAv0yIGQZ5hYzwcdt8OZ2NumQLEbELjfrUM1QaMZ1RKaW5ursPxI09HCIPBoGEB4+r3+y1S4zeV3uO5Pv/Injlj9vqsuTmDdc0vGgeQPX2xHlWnyr833cZ1XFsp5vvbzolR2NzczJVXXpk3v/nNnXAeKsbetSkRBFO3mTM5KysrLVnsioKZmcPzjvzClMXFxUxNTbXqj6S794Adw54IPHjOELERYDHZ87VyGfQBKTxCTnnFw0hGx3AblOzx2urby6sGg+f5uShrkgbSKDOLyYtxXFLU1xAx2GsDUKGKbBAYnxcJikxkkRwN8+0R0gzs/r+pEj73ojaQOmpwCG4DU/uCZ4yuoYuASj1Dyd4b8kJ3a6TFOvBvrTP2KG0wMPj2mHFEHF3YINqQJ+k4C8jaoIPscBicaGc8zK/75uQ8Tt/q6mqj1VhPpom5DvrP4Ov3cDhHwJxTRm2O3zpWGyBpitjgascIYDXVRn8BbPTEcnM+ob7HwrrLPf0s01J8bgeQ672O6/j4m7l4z3ve84D2J9DOiVFI0ip/nNSh+mgwGHS4ZyZsbm6uUyJna8tJhIuLi1lZWWn3RaEsREcNeIbsbXBoxTuY4RldDYAVpgrKwGpaJ+ly607S0j822/EbFgVJKugAwNPKxdjMndcwuVJwNSGVdKsukNE4KgGPmb+dKOP3jJdSveXl5VZhZANvoK+lwAZ5e6ruS1PK6dGBa4C7AcAhOXpQ6TYAywvMC9aA55wDYIAciGoBqn5/dJxKfWMXc+Ujnk0rWlYGPPfNnj96YCBzwtPNhs5jr4aGe3tPkeWEfHZ3d5tn7z7jJBER93q9zvHujuJMnWE8Tpw40Up8GS/rExwxpWN6BeOVdKNpU3j0j1f3somUsfMcGxJ79ub86RfyNFB7fwu/4dn0zxQSOlcjO69nvzvFRtIRk6N65pZrHHU9kHbOjMLW1la2trayuLjY3qk8Pz/fOePDVTUMlM8dHqGIe3t7uffee1viLxlZfHuy9viSEc1Ev5LDiTQ3zFHY9nTMkR4cHLTow89j0U9NTbVjOUheJSNPAKWyF0eVEy8KcoSCXJAVSmovxR6jFTAZhZy9Xq9zamtNYsIF2zhU4LcXZU8SKtDJTz+/1+u1FyBxLxTXC4oo0v93uGz6wHrBnNrYYigqv29Pz4uxGitAxbvfoR7MSyN/UyyLi4udMJ4EKvIF8BxN1dJDGyN7wMjB64aCCTsglQJBPt4sWp0j5hPj5miRMSTdU1hxYrzxFGCHGyfvQdR06tSpLC8v55JLLulEFVNToxdRMYbK7Tt6cl+mpqaOvCnQHLuxZmZmpr3zuZ4uYMaC+9sx8ea46vScyQmBLmU94BhWHayOiqMdngV2VieK/3v9DYfD3HvvvUfevXJ/2zkzCjfddFOuv/76/O2//bfbAFEuW0UDv626lS1Jxyvg6Ou6cFhw1P0D6M4XsA+BCTflAaA7YUvymTwEr41kPPCUTIoV3V5I9WRc08+Lgui/FW7cIsdbNX/oxQgg2+tEHgZc50pqSF95TddV02eSszYoNUJAHvx2XH7A3hf99UJJupQI9zXomQazQ8A9ASz3GWOA7Or7mjEMTnoSIfAMG2U4bnhuZI5n6lp7WqXMkK/1iY1yNhb02V5zzSHhNDgi9bwsLi42apPxoQv8H/AiEmCuMKgGMZfzkitE7vQNB8W6yQtpAE5k1ev1WpTGH+dt+M3y8nIODg6yvr7eZIKs3cxYOPI2Hjmi83d873PQvMaRq52aavwd1Y5b5zhO/BujaPyoxghsNA4cHBzkc5/73P16H/O4ds6MQjLiQN1YJAsLC0fCWi9Kqou4D4vCFAETgQLZq1pfX2+GgnyAq5kGg9G5SHjltuDVq0bpT58+3YkYyE3wnGPHjo2lQwyAnAPEW5tqGDs/P9/xvFAKFJpSvkonodCDwaAZJuRn+sVcOvIADEwX2UNPRvzzsWPH2nst7PkzRz591pFgpTksZ4e+1Ruystv42GNzyF55WvQIXat7SOgDO9lnZmY6+R6oMSJe99vGyouU4gJAyklXj8uRhXMEBhn6zvWV/vJ9MI6ecyhM5oKTAZaXl7OyspJ+/zAvtrGx0e5Jrs7OFP82TYv+mpZEv2xIkTkGw44C70WhMgwHBIO8u7vb3i3MnNU5tCEGQB15IS8cPBsq02T+XZ1n5tgOiWkb5t5rjjXEnFgP+S2l3FNToxMOxmGH9d2OmKMU+mgH6oG2c2oU3vnOd+alL31pLr744k6yzFQG7zoGxDiKAo8kGVEdBncUAUOyt7fXfssCIfIgV1Hva64YJTFlgdIDDCSoV1dX2zOSo14CCzEZUVeAE2+Nw0vDcwS4SELSD3IwrjAhNKf/9vRN4dAnmg0PiuyEFYvGO9FdkkhU5QXtsTunwf1M4SBLjFwNxe3ZVcrIlJbpIoOyIw6DPYuPhUXS3wa30lncF8PnSi1TG4zTBQ3Mrftur95yoa8GrupV1sgu6Z6p5HXFvficdcKzmEPWHTpsmtOga4MH6KPPPsLDkahpuOowuJSTtTk3N5e1tbVsb2+3yAiwXFhYyNLSUqamprK2ttZxAhg364E5AxOMOdZTnk9iu1J8gDDOnr166yzP8LEjXlvgFfL03DnfUedznCGqkb/XdY2q19bW8qEPfSjnqp1TozAcDnPVVVflp37qpzphGN4CCuXNTjMzo4PkAHG8BgDUno8XBbsT+ZzJTUaVDa7W8Gfc25RJMqrW4B5LS0vtXdEovUN2e4E1KciuWjwVNrRVRcTTJ9/hEB7Fd+kfzV6MvX6a5WUax4BoQABkOUbcJYzOAfi3Xgz2bgyg3NtemkHPsuTe9H1c2XDl5KsxgB6x/viZ9uK8GKu3bkNFEt4LHXAZDAZZWlrK3NxcLrroova9K1JcPsh8JN0adJqNS/VSHRVgUJg3+gYAU2q6srLS5tM0lylcU5CO8NBf8mDMsfULwDRNRnSAY4RTw5rHaQIk3RcKGXh5j/OOyNK/qzRY1SNHv/S/6qkNbtVBe+jkE/ncdKydiUr7cH9H+Y62HEmYcrK+e/4t/2uvvfYIdfZA2jk1Cknyx3/8x3n961/fFJVQCc9pZ2cnp06dynA4bN44oaCrEvb395si4U3j0QLcS0tLmZ6ebptZPFHJ0QoceyooBDwoCWArib3VemyCgQYlNX967NixBrgsKN5Ax/VMqqkQPHXCe67HA0lyJAHlhe0qI8ZBMxAB0kk6Y3ASkmu8yOxtG0ztJVavyIuNBepFYBl4wXth2eBVjrh65DQiIZL6zAk8+DiDwN/7+/tNdw2Y5JpsEKFDmBfrEB4013vfjWVq+tH98vicM6gUJJ+7aGFmZiYnTpzIxRdfnGPHjmVjY6OVjXI/zwd9wOHCODhKcmQCyJs2s4cLdby+vt6OqOEZRGAYWhtx7kfl4ezsbNbW1rK5udmMGkUPCwsLHYDl2Qb9mhS2I5Gk0YUetxkI1rFPZ6jz4zmzca4GlD9gHBGd8cuRgu9dGQru+cUvfjHnsp1zo7C+vp4vfelLecYznnGkBBKLSOUPE87i41qfXeRqD4CbslGMjpN5BhCsLYKtNASTbXrp9OnTjc5xwpAF6cUIzWOv1uekcC3HSHsRGDj5rY2DaSXeWkbEY1DGE6rlhZWnRoZ4WgZ9xu7dqPaubHjs3TtK4jobGoOOvS1kWUv06oLhPgb6SpX4e3vUfIYscQQwmrWqyKDtcTBG6E7vrOf+SdqRKvzWssJQQvkAVJaN/9ibNYgZpOgfemTdnJmZycmTJ/NX/spfyYkTJ9LrHe4Cxigk6RQOcH8iAmTjKjYfaULf6Mvq6mrHk0fnkbVPmGXT4+rqaitHR4beU8GrOJeWllqxx+bmZtbX11upLEbg2LFjDeDt+Lii0A6FHQh0zUUbOCnML2Wt4JGNs6NJ64sNtdkN02x2Nh3xMJ/s+fDaq4bj1ltvPSd7E9zOuVFYXV3NZz/72Tz72c9uHplpCCYeLtseAkKanp5uSWEOn+I4BcDaggSkTT8RvtekI95Akg6IA5zT09PtxT6uVnASE2NiA8MzGJtL5lh0ALMpMcYGSBMt9XqHLzAxvWNawYDL2Ct1BPfNQoVWQQ54eyS9TEdVOsyelyOxCmZ8zvxYPq4mQ66WUdLdx2CPySBoDt6tLhjuQ17Ki9Hlgn6uAdjGdX9/v3mUrpwCqMlxOd+DrOzFEk0wR0R3OAsek+XAs/x/dBxqdWFhoRUFXHLJJVlaWsr+/n42Njaap+3+23gC3k7eugLNxtj7jSi8YC1ar1iHvNdkenq65dVcaWMvnXE6l8M7UgB/InxXGaK7UFzcx+ecMTeMz2DtNeM+gAumItEv03bMXY2E0SXmy3NsB2lctR46XSv+uFe/388XvvCFbGxs5Fy2c24UksM3/9xzzz3t7Uq2kAAh3gCVSXj0Tiob2FdXV9tJlgjIPCremRc193T4y+cGnCRHFhaLhE1weOWAjRe0OU28DZ+86u8wAk5Ie88Fng995U+NUPjexjEZ0TPQQBw9Mi785N/0GdBEce1VOW+AMTUtxL0ctbnRT4ypFxH9s6dJ5Ih87O0xTubQSVLk7f4cHBy0vQfebc5zASmXgdqbNKXS749O35yePnxvB3tzBoNB7rnnnmb0bGAdVdlQOKp1fsjGtAKLk4wYGn5H9Aptubm52YouktEhdi4vRWbez2AaxkbJOjwYDNr9nf/AmPLvra2tnD59upW49nq9LC0tdcDdkR3P4XtoVW+c3NjYaHQSY6bvjrYrxej5thfujWNQR0k6uo6MxjmHlYYzXjCHrDPkamcPg5OMqitNU3mt8fn6+npOnz59ZK090PagGIXPfOYzednLXpbnP//5zbNH+CiMKSUvbCdSUGCopFrC6qgi6R7PwATYo/Pi4vokHaBCKfkMft/lsixog6nvaU8WDwnAa4L//70mwMSeAQCcdHcz8zw25FgBx1E+yBDjRYRlKokxu5+OBlhMjMlRmaMVe0XjvG9XXbCIHC7b8Ln6zEk8e2Yeu70rnuX59mI1NYRnyJgsc/pnQ4pubW5uZnp6uh0EOD8/35EV8nIUS9/HgT2GhvVgSo3r6uGGBh4cjPo79A+KlfJMxuFqOkczTm6bdvFR+KdPn87m5mZOnTrVNoG6XzXio4qPCqNLL700MzMzuffee3P69OkjVJ6NLzI/ODjI8vJyO6b99OnTOXXqVNu05fWILhGRV0/ecwGtZ5lxP3SW+8EsOKqoc8IcmiEBk8j54NB4rVRs8RxY5/nNrbfemj/7sz/LuW4PilFI0pkETh5Nui+6tycB3whgmTe1BzIcDjvJ4bppxRSAF5IpDUJ1gNA8onlUDJmBKBktUtNOgM/+/n7zYDBcGEaey30dETmUBSxqRYWpD9M79oJcEz4YDLK6upp+v98WEkDiozzstZoK2t7ebl6Uj0l2dUqla/jMXjb/dhjuCIhrqkFwsq9WYNSQnDk20NkwVDqtVriZ27aBqcAMmOLdzs/PZ3l5udGb1P57TDTLwbQDjpIdIuRpw1tB3+BB3/f393P69On0+/22KRSdxyCgV+bNHW3u7e013bXRMcCh51Cd/f5ofwRzZuM8HA7bi3ao1DLthL47yjWowizQ96WlpZw4cSL9fv8INebjbGAGGJt1B2xJ0mEDwClH6syJnRNHZzWK5dnIa1wkwe8cHYM/digcRdmBwpCd6/agGYW3ve1tee9739tRaoSAt2HP3e9nBbBo5tosEECDSUrSMR40Z/nxJqwAAAOLzEDNgqkKSsKR6xgb1BDRjU+oxGO3YtDvNiHiSJ0QtVFyfTrX48naO+N5/NvvlLDcAAyUE8CkaoyoAPliuJEN9zQ1wrwhNxswyxGvvCo+MmbuaXhczo84WnGlBvcFdJGvPVLuWatrWOwel+XjqInfsacjSSsntifK+CvtyefjDJEjTmRar2Nd0DY3N5vcHI0hG+fX6IfzVIzHAM016Am0Xo0yOA7DaxePv9/vZ2trK2tra61qCI8aXUvSoSZrJIi+sdagqO00OcKnX3Yy7JzxG57vIgJHx+iCjXmlpqwnyM8RmR1d06GOArjWFVDc287x/v5+PvCBD+TBaA+aUdjf388HP/jBvO51r+sobfW4k+5hXtAcgDNAZhCu1jsZhf72DgDrXq/X2VlJ5OJJtyGxh1AXCtfRJ4emnjyUBzDwIuPerhxJ0iisWpGBgTBI2MCx6AA/wmkMFPeuioVhBdDMufKbpHt4HGNAtvztsNjGlmangHvbWNRw2foAkNGHSpP5uhqF+v4YSY5ZwBv1Kb2OcE0D2nP0oieiovQVgEHnaDYkAKoNre9no02rUTPjrxVcGNlkRLs6Aqq5GX5bDZ3Hyn2Ya1coeX7RC/rIsx2ZQJfOzs62kvKpqamsrq42kK1UpEEdcB4MDjfCnjx5MidPnszc3FzuvffeVsZN3oicoBPhNgjVsTHl7EpB67Bl6qiBZp2F4rbjifyRKU4yiX5Ht54nO7+///u/38ktncv2oNJH119/fV72spdlaWnpSPjJIqWxsE0d2bvDQzMlZPDl/8kIxAzgGAL+71AuGVUYWSFN5TAB5iKZdC8yxk7f2IVd6+y5D4C6t7fXeTNWMio3ZOyVz6+GC0+Ve/lZ9MtKmXS9HP7gEQKcfsELC7KGrqaP6I83KTk64ppKfSRH36UwGAwaBWejUYHDQGkv3AaUhedyV5/vUx0P7uF543MnaJO0g+psaF0wwD4bU0KWne9d10qlPKpuW+/8Bw+cfjEnBljuR/TH2BxhQQvRRxtAR8GO6E192GmYnp5ulYfsM0AeUERUERofrCvQVlBGj3vc43LZZZdlZWUld999d+66666sra1lOBy2qj50gOjBx9XQTzuSydGIhb9rPo25sGFEP411OHd2+lh/1YD6N74uOYwEv/zlLx/BnXPVHjSjkCQ333xzrrnmmrzyla/s8GpMEkqYjBTaoTQNj8vUhr17e3f2oJLu26t8TATRhBcev+deTJIjD5q5fCtG0k1Q9Xq9Fp1wP/7g5RO6+sx9PNVKzxgAWYwe93A4bO9Kdvjs6CQZKRmLAiBAxhjbCtwGwyp7+pakLTjAxd+xKO2ZORw3183fyKsuUpqfXwG9Rgz24j3nzDFACODb8bAHB6/OuVskcilfdQUVfcapcfRpvbenXz1Jg7V/w70ZP4C/tLSUiy++OAcHh4lh+P5K3VaDa4/cgI9c/FyDYzXujmwZu3OL+/v7WVlZacUTzJHfokjzvbjfcDhsObPd3d22e3t6+nBX9NbWVjv11frOeJ2grga4rncbN+RtB7M6V/zGTIGT3HyP3o+LiLm3DcNwOMxnP/vZ/OVf/mUerPagGoXkUHjz8/MtfENo4zwd82XJ+DM/SIIBmk4U7e3tdSbTCVQAmASXSwFr+GeAIQytXhUes6MUlIs+Vy/dOQYWDR7dwsJCe5uXT2NlfPacTC1hWKHdSMJz1o0pLPpfqTd7w9Uo4iUaCAFo6BjPD9QIClwNgufTfCtz4c1UjNV8sgETnUlGp6K6nI/7evwGsJ2dnayurnYS6V6cNgY2jPbyh8PDOnw2WxHtYuwcNZEENdiha64M85yYarUnbhlWkPe4t7e3G73oShzGaG+3Vnoxn8yRI0gAiwjV68x6BZDyG56PHiVpEdXMzEzb9AbNVKlbG7XBYNDOUFpfX8/JkyezsLCQlZWVLC8vZ319vY0RHWa9sz7YQGeHibVtupM+O0rgc9aK9dtGAtmahrPcLcs6Tue7mBOvuQej9Q7OMgaxwt2X1u/38453vCOXXXZZCwsZLIBoSsYLIeme30NDaHhReJ6mm2wY6kJHyfHqDEb2jO2VuMxsamqqw+U6dLTS2quz1+3Fwn2dI2Dxc38vVMaAgfE1lqGvTUb8KAppOszejZXb1A+fOTqoXqcNgcNy9MCeHjLgmcjPnrv75EiS+1k/fD/mneeM04uqXxQ3VFlXYKav9AXAN/XiHfrIG+CAHqn3M9C6YsgbMC1Dj9dOih2V5eXlXHzxxZmdnc3m5maHt7fRM6XoSNs5Fa5xctmOk50kO0aVVqx04vz8fI4fP942cPJs73ZmXDyTZ9BwoNjDMDs72/ajDAaDtpObzbDsj8Jw4lDSfxsDO3g2HG6eP0e+jqiQ3dbWVnNs0ce6EdZzWI39HXfckXe84x33mzo6m989JJHCBz/4wfzMz/xM5wUhNLw/lMpeRdLdF4Aim66xcsIJe8cyEwWI4jlxGiOfG4QNNDyX9yxgqfncNeDeYVlB1WDka+x1AgTmUmuts5+N8lU+nQVHhGPD60ghOfoGqpqYRH6WhWVjpWWcppD8TCcxrQPuu41VNViOxvx896+CsGnBmsMyCBBdsaiRu2vz/Z4Dy5r7VfqSZ3qs1mt7iTbWjkyrc4GeIxfkir7Z4/Q5X85ZOdryGnI0T5+JMKzHjAsZbm9vN6PIuCl3ZryO1uz47Ozs5PTp09nb22sePq96XVtb67xfvUZtjpJ2d3fbuU6cWNvvj3JGnit0AnkR3dqZql66cYq58Bqx82iqFf1mXkg8V7035cTc1qrDg4ODfOYzn7nfBuFs24NuFJLk2muvzY/+6I/m5MmTSY4e/cpZRlZwC56FYK4tGSV97JVQSeISQL4n2YyicZYLJ5S6QoG+QMt4wbMoABM8RbwO+ohi2rABstBZdcFjuFjYBnVkxR4I00v2IvHU7FU5GqnhL8aO55he8JhZSI6QrLRcZ3nzjLqwPbeOQOz124vm3jR78L5/jTC80P2MpPseaIAF+gdgw0gABgb9CtzcGz0aDkfvE+d5U1NTzTly9Vul8vr9w0S136UxLupMRpQXawGjwWcGcmTiSGociHkXr3fbWhcwDKwR7uVSaDtvjoZYBzRelLW7u5ulpaX0er1WxGH9cnRFw3lwzsNnFXEkh9fd9vZ2tra2jhhBR7PVIUJeXEff7CigI97bgYwcDfOZqSSMiueWvpBr+fM///M82O0hMQqnT5/Ou971rrzxjW/seLUOZQE/6CDXzdOsxPZ2LFB7mEk6So+l5tkkBuGUqS1HueBPk+5GIZTBiSdAGgPgvAATa26WsdlgmFNFadhABsA6OW6u35RaMtrdadqlhsX8G5kzVsDLoGMjbm+8erLc2zSXa9uRH/fB8NF8L3vQvo7f1agAGXB/U1E1KvO11hVAEGNP9Vh9I5tLBwFP950+OD/GPfy9ddNAAy0DtVDPt3FURR+QLU4UHjmH+R0cjDbvOUow4EOHea2hqzZKfO5I3EbSBi/pvi3M93bkhGHY29trh0iSA6wGuObwPI+UorIZjHOTyCVsbGxkY2PjSPmpDZv1jv5VlgPZu5zbxR2uREL37eDaGHlt2clxRPjxj3+8nRT9YLaHxCgkI04Nzs+LwGWo5vjNY25tbXU4ZxbN/Px8u48rFgAR0wssZu+apjzO70zm3ubhq9eN0gDSnGjIJBIFcJ29Kk6JRekJ0asni9wAVns7eEZ8nnRLJgEpl7Iil3EAXl9bmhw9kM2GZTAYnbHj7wzmpiBMHfF7e4GmyaqXRF/sUNhT9H35je9bDUaNUiod5miRslryT/7Oi96FAwYtZAPw+nh1AILxDYej3fpEvD6d1Z5pBSmPiZ3IRD/0sd/vt7cI8o4Qe+82ZK4usz5Y9pWKtPytbz5Gxg4Aa7lSLmtra9nb28vS0lKjeqenp5tsTD8yTs8nsllbW2vOlKOFmZnD92vTZ3ScwyhNT7I+SFYz1+gWmxW51iXqrHf3zdEA11RZOCIdt7Yf7PaQGYVPfvKTee5zn5vv//7vb54vXGeSIwvRE29Q4W84fCdsAGC8DaxzMhI+CxRl9bsVrGgAuysOMCQ0jIy9bMbg+47zXJ3YwkiyCYrGfayISff9B5W3N8g5F2PwAbQMuHjzNRnrhYwRADSgW3yvGl0Y+JAPxoq5qF58rZdHFsxjHW/tp/tuI+fIxnksRztevCQpKXe0jnnhI2vGb0oIQParPSsVgb5h5H1opF9sY2rKUTTP5vRS9JZIk9/s7+9ncXGxvdnMOkWfoBNrOXONzhyB8j26WufLzpTpFLh9OwGOCtBx72wnkkfmrB3PtaOaU6dOZX9/vx1DAl4cHBy0PRJQyLOzs60QgLHxTPDA81CpHkcvzMs4R9Lr21hnurs6QF/60pdy00035aFoD5lRGAwG+eM//uM861nPyv7+fmcyAV0E4aocJ2XN1+HtsAmGiXaIRljr8M2eIxNmgDUQJWlKmYwSwRUEWaD0AW+O3/d6vU59OtcCApTSOolePWSMDJ8B9v6cvmNMklFY7CS4Q2MrpA2nPXPmicaiqxUqpnNsjNlIVykIQm9zqgCGIzT3oQKqw3Mb4RptMC9QeBi1uhj5TY0emAN0iHlw/zy/NUqAPsKxcMTlPvr+OA4eKwaenbo0rwsADODHA6bPAL49YaIhnwLqhHs1DDak3ymRXyvsfE6Yo0JTQazR06dPd85K4tjxasBrZOp52dvbyz333NPWhF9+dezYsaysrLS3K7IGiVS4l/NHOLRTU1NNXo5y7bQgqzM5LIzbzZEHbXd3NzfeeOMRqunBag+ZUUiSz372s/mH//AfZnr6cFejX9xtwAPsDBK1PI6Xdbhu2GeXAPRcb0+DCeN5KKK9uORoeIyC+B5MopPTPBNA9v+Hw8PcAZUufE4+xBERv7P3ZeDG43a/bUBd7QBfW+kk7usQ3+V6pqBY5KbIzJHzpxpdKC5HWjb6ppSSoxSX749skqO1/J7T6rnbQ0Xmvtb9GJf4dTWRwdLzYsrFHLj1wvQU46QvNqzkpRyZQE9wro9pKuaQiAP58eIcrofmtLxodoackzAtaH3kua6msf55bnx9zTPQoGhYDzhhw+Ewx48fb6+zxcg5AnL/+U0tlCC5zLOhkVZWVnLRRRflxIkT2djYyLe+9a3cfffdWV9f72CD2QzWFvIwy8D6dJTOWreTgEzQJ8+HdXx9ff2cv13tO7UHfZ9CbZdffnl++Zd/ub1b2S87sbeAl+PQOUkH+F1lYX7X4Gsl9C5VexqmI6pS1/LT5Oihbd5wxOcoUH1hTj0YzZ6rgb0uPNNbTuwZSNwH/o1nYy+jejKml0y92au0fB2RAWrVmPKc6tEjM3voNoBJl+YxoLtVg21ZMteONmyo+L11KhntaXF0aPoKnVtYWMjy8nKHRtra2srq6mrnnQSVhsOQIudqwGukY8oP0AeI1tbWMhgMsrCw0PhyHCMfcUIOi/p4RwjMiXVtXL+9J4c/46Ja65Yr62w00TWew+f8BqrNezn4He+aJgJwsQjGxIbSsiSCs+7w3cLCQhYXF9srQylv5VhvG6HqnFi/vMYcgY+Tt3WSdWrZmw678sor881vfjPnop0N3D+kkUKSfOtb38qNN96YK664ou1aBHC8MJytr3X7Tvz5epSNKMOgkIy8n2RUN23PFWWxUiejCSZUTNJRPFcpebKnpqbarmJ7l55wFAmOHUW1p26Fdl9NV1WFTLqnWroCpTbub0OJrDFkrlNHuZ1cNcgxj86hMB7z4aaTDPJ872aKywuf5oVZaSzTMONA2AABxYNsiRBsANfX15Okea7JKM+DHFwu7NwTcw8N6ZdGOd/l8TNmjJZzb37nABEBuTZ0zc6VPVYbRsbA8/xsR0U1CrMu1+jJOmVAtENhgLTRwBign8PhsMmdKNv9MKU1jmaxI8Q4+JvX/x4cHGRlZaX9ueiii3L33Xfn7rvvblRW3bxX6Ssnzbm/x2GMQT7+jZ3Kqamp/Pmf/3nuvffeI+N5MNtDbhTW1tZyww035Iorrsji4mInQnCm3rkEqB+DiT/jt/DmeE6eMOcLHJInXYvvSWJR2YumD44GrBxWev64tNRAblDEgx5X+UJjoZuyMaAkI06S6y2jmvzEc3Q1BIva0YpL7mo0YO8SWdjAuhFtMUbuU0Np+H5TE3VR+54AFfNmiqwaIXtv9ngdafE7rvHcJ+nQMyR2kbvzWI5WDEY1akMenmt7mAYTxmjPEoqI+3FPjLn7YUDielNbFfQtExtvG2FHvqwVr4fNzc1GtUKN0TfPgbl7R/cG/a2trRZFUZWIbtTDKWuUaTD3fNLP9fX1Vpo+NTXVzhA7efJkTp06lVOnTrWzlIhOPKc4fhhmR+zuk6MfG2ob2IODw82SN99880NShur2kBuFJPnoRz+al7/85Xna057WydAn3ZfkoHD2+KwkGA4iAxSKe6AATpYZBCsdRIRAOSrKZpCrr1r0gk26dfZOStvzwVP0fUxTQQP0eqPqI1MSAA+LCGW0stXkn42HAdacKMDkEJ8+zs/Pdzb+1TYu7K0AcqZmA0ofrAc2ZuMAqUZJdT6Qg8HZsjdYIsNxOQ9X6xAx7O8fvkOYunp+a6NSDTcA57wB/fHY7KzY+NKfg4PuvgOPHSOJc8E1puhM/3jcVY41urWec63XHeuqGlavaYwCxqDOm49+cISIw0A5OoaC7z0eP9M6yHiSUTSMLDc3N1veBp2jamlxcTHr6+vtrCvKev2easvB97ZMLRMbaDt6BwcH+epXv5rrr7/+jOvmwWoPi1FIkne9611561vf2qEBUAiE61I0eyEOffGwAewKEigSi8keMPdJuscPENYDtFRuQIHUcldAuSaLXMWBZwMFxQ7ous8AT5fr8QqT0e5jDAOlh1Z20zEV3HkelN3i4mIDe2Tn6Me7pv3H3LQB3LkOFonLjwEDPD0WiA0Si4L9J8jd3qqB3tU5TmQ7eWvQMig6MjOguMzXsiTS4I8Nu3XAoGx9c7TmPlQahv9bz/2ZDaWjgKrzjAMgta46irPOuL8GWHvrfGeds65zXDf3dCGJ83rOr9jxMr1Wx2XjzJEYPtfIUQvy8fo2O+Col7GxSZC9Efz22LFjOX78eKtgWlhYyNraWtbW1tLv99vuaBwJnuVIs9LifE6revaxj30sD0d72IzCV77yldxyyy156lOf2gEzPCJbciIELLiTeQaa6i2gkEn3MLekW++edI0CoMnzHVEAWPv7+23TG0oDALvsjvtyDYulGgaABJppaWmpc73pFugowLVSIHj0yQiwiIBmZmaah7O/v98S4NzbJZPwrDQSnVNToyoR5GJQ4VmuIGF+oD0qbVQ9YVqli0ztcR1AYONIv3yfytMjU3uTphYAyAqIpgDxVHu9w5fRU1mWpMPxOyKs3DufA/YYO3as4zGPq6phXoik7bU62nBUaMPCXJPzQFZ+t4Bl47WFznn+p6dH73BwNRbyt4Nzpjl2dOUo2A4AureystKhLllHNqim5mrkBrZwLTJcX19vr7VF/ouLiy0inJ+fb0n+hYWFrK+vdw7Xs45Z1sjLjALNa+O22247Z8nl+9oeNqOws7OT97///Xnzm9+cpLvdH2/UOz9ZrIRy9gSr4L3I7ZWw7d0RQnLUU7LCGEhqOLuwsNDehQCgA6xOdA6Hw3ZUAufe0AyyDv23trYauNibJYpBBuO8Wv+9s7PTWVSU8vb7/ayvrzflt2FgMdo7r0BpbxdQs5dm3te/TUbAbtrIMsYLN23CPNibTNLoQ5q53XFUFtfUTXMV6BydIDtHMu63KR+MvUGqJo/dD+84drRp6sqRlOk1Ryb7+/vNW7YeEfFBbdWoDFnWkuxqQLhfjUqIbO31UwQC1egonTnmWkd9NrqePxwt5o31Yf7fBqfSadbZ6qF7TTsqZx+I9zth0JlDdlyzzwH6CYcLDLGhsG7VSNHR58c+9rHO8SMPZXvYjEKSfP7zn88f/uEf5qUvfWkn8QWwAkZWGior+v3Ri6tZoCQxUX6UDMD2AvHisCdjD5KFYANib5TFQMLLnrMNGUCDJ+Gw2Ao9HA5byeHW1lbW19ebN8JnGCoOWbMCQlfY2/RGqN3d3WxtbTUZzM3NdfqEl1IXGbIiRPbiS0ZHCKD8BnQDr+VnoOA+0BzogD3kusgdTdK8uEwz0ZgPU3/MJUBoesEORjKi93x/fu9ozh6f+4rBAhS4zuCMTldKhuegzxgfos319fVmfPi98w9eJzZiNBwZIjvnFjxv4/I7lh8npnpteJ35Xq6EYs3QD+5Xq7mQyd7eXjY2NloyeHl5ubM2TUNBCXNfR9+eI0esPJv7kVhm3S8tLWV+fr5RWCdOnOj0a21trVUsOeKqulWdj/39/dx000255ZZb8nC1h9UobG9v50/+5E9yxRVXtHCVCUGx7PHg+UJjUAKIMA04eGssuu3t7WxsbLQSPlMQUERO1nphGMTxHAjRvRnGSusEOjyrOWzXxrPAHYZzVDf3n5+f79A27OQmanA1h0E46R5tAfAMBoMWBjup7qoWU2sYVO7n/Ik97HHJNuTCAvCCMG3CXDvvMC5KcKTiOTdYG4AcZTFX5Dkcxo8L9Wk2UK6SY0E7J7O8vNxq7n0fUximOEx5JOns8nZ0AiDZ+93e3m5/PMeO2mzoGFuN4NBJe+vVwDBe72RP0tE75tS0jw0o19MfG2+Xi9tgkXdjT5OpY84sc97CVCJ6VA0+QO/I0v1A9ozfeoWDtbi4mOXl5eZgcZgl/ybvsLGx0dYZv7UjZ+OUHFLr3q3+ULeH1Sgkyac+9alMT0/nH//jf5ypqalWg5yMwkt73EmaN+nduni7GBOH98PhsPMuByd78AicEHZeAMWw94/SOqpIxucpfHaRw2zAnfv0+/2OkWMBw2/u7u5mYWGh3Y8QnVp5ex0YGu/vMJVWE+KutXduA6PqSMzeHwuUcQBsjlS8K7fy0wZlZFB3XHtx18jDHpY9+EoxcZ+aZPXveD55F4/H4Fj7Uik2gNsnc/q90DY67qv7yL0rvQVw40QA0K7eMfDRJ3um6KsNPH9X0KT53+glEaYpID+H36HXXkeWu9ep17tpJ3TXes7nvB+lrkE7JcjJzcYi6R4Rg9MALeoTB3AocVxM5zL2fv9wQxwv+2HzG/QSuSbyTd7BfdVVV+Vzn/tcHs72sBuFJPmzP/uzbG9v5+TJk51w1B5IDTn39/ezvr7ejICBpB7mZY8db8aKaK52amqqlbuZXuF+BjB7vDWkTroUCX0GsOHxiXC8jyEZvU3q2LFjbbfsYDBob5RKDiOttbW1dq+qxMiNSAXviP6N2wFaFyMeKPQQHrYB2N6jvdrk6LszTBPUxQ9gOFphAdqL92GKBpJk/GtLnR/BO/P8AOTohPdveK4Zj+VTQdXRnUEEWTlKrMYGfXQEO46C4zfMtXNvjkYsAxsFANZyN4CaWkKWpsZcCeioB/pvb290lhdj4HtTuzYM1oUaWZnWRIeREzpLZFbvW3MHppg4GZjI10YHLHAkbqPNNbxPGn33W/eo8FtcXOzkF3gLHofvkdy+7bbb8pWvfCUPdzsvjMJdd92Vq6++Oj/1Uz/VOHIDQzLybOyRUGWDB45350Xv0k0UiQVVef1k5D1S3mbFRNHoh71Emj276rlyLbyroxWUzM/gZTszMzNZXl5uFBgnOvZ6vfaZn+17MQYiDcJY86VOPNrAIT+u5z4sIK5xBOUoCqrNHhQGrdJTPD/pnhvT7/fbIuP5ru13X22geJ7B1MYDeSF/Fq1BmWu8V8GyMsDYQ4XuYP4doU1NTXU8w8rx82/0zU6Fk6Hui3WrGivnN9wcZXk++B3jYR1wje+NAWdt0jAOREyOkphf368m/cc9z8Ztenq6c+Ls5uZmx+lzVOLIq0Yr6CPOhjfXMffIjgjZG+wst7rGGbsdDQwQJ9Vubm52kvJXX311VldX83C388IoJMkf/uEf5sUvfnGe+tSntqQOVSVMWvX6AXsfN+wSMi+EmjMw7+kkLcrjkr5amUGbnp4+8qJxK6Kvw+OlX76XvUK8PwMctE0y4q7tuVjhzYfiQbkyZXl5uS3UuuvS3hgL0h6kx8TvSHyzqLzwTNV5Hhi3Q3YMiDcnAtT2apFBMjrKe5ynaeD23AECBl4WuvXKc2QDRL8BPoMOoIYuUBmDfJn/JJ3f2VgxdgMkgMPnTlbbcWGs40CK/jMWR7mOhiqIYoSsDx6Tox0/j2jIUR00LoYR3XL/bdDtMDmXyLwjG3J7VCYSTdjRcYRXS6VdUYSD6c/5vdcoumSDyPceh2k95pgjzldWVlqkccMNN+TTn/50zod23hiFU6dO5TOf+Uwuv/zyVuZJxMBEOIzEQ8EaY51ZMHB2AAXKyHVJGmDxOxZ75RZRLkAPIGTyURAWUfXKzPk6Kkm6isT/USKH3SgsC8rgiQKbsmF8jHdlZaXRUBiZ2k8bXBbEONrChg2jzELl5FoDlEsiTQmaTvGZQzViAoCRi7127k9fmE/Av0aOBlyAulI1lb5xdOGoxJSEDZzpQmRNfsWnm1r+zje5IRPmBD0lj8bYPD/og/XKumH9Yh7HUaE2ElAopkqq4UH3iYY3NjYakPf7/fZuCGhJGwBH2zbmpsHYq8RxFnjZjsYwGnzP3CBLJ+IdkRhHPDfIEccBzHFezhE5c+vEPY6G9YUIeGZmJtvb27nxxhtz+vTpI/P/cLTzxigkyVVXXZW5ubm89rWv7XiKeKr24pLRBhY8TCZhenq6VetYiStXanCtCpOMaBgWj8GMiGNnZ6cz6fbwWFAYGgMPymwgsGfKs01RWVG5zgvURg2lQ5nZZEOlinML3M+epMtUDYQOg22gbaCS7k5NLw5TFK66Qp7MA5GQozTkYHkZjMx/81vTjTYm/N9UHPPO73mGKTLLzNUyRHU20tXzZZ4AMe4HRQjoIzPTLtBx/X6/RcY4SvTJkR6/8+eOChmXjaAjO9NmNQ/iqMCGzWAOtbm2tpbkMGJYWVlpXr31BOPOOrKR5ZmWA+vV0QAyc38qfWhDRwRddcqVbx4nn7nKyf2zYbB+0qxTviZJfvM3fzO/+Zu/mfOlnVdG4eDgIH/yJ3+Sv/N3/k4uvvjixh0CVra+Ltkyx8pmrcXFxc6LZrz4AAcsOm/F8uYy0x8oejLyjvDe2VfgEJhrWGB4vywaIpDd3d1sbGw0QBu3cJ3Y8mY60xumq8yJcs3u7m5LSM/MjN4DjafFWDCm0EsAl8dlgLTnRL/ov71xojbGXSMCgI2QvuaTADB7j4AkQOkEpsG9VlpxP2RZTzM1qNXrDAaVlnC1CmNxhOHXrjI33Itn28jTADHKj2tC344GtKLn35GBqZ9KU9oY1LFXGs5GxY5AlR37WqgQYrMX69COjnXBeya87sgfJGmVPf1+vxll5G4nx9G5ZWtdYTxUizk3Q9Tr9eniFMvM68I5EMbAcyhGmJ6ezvr6ej7+8Y93DMjD3R7y9ymcTfvJn/zJ/MiP/EiHr9vbGx1ZbE+5hu0YhqmpUcWNv8fDc7jn/IEnvoKQFc3cbFUi+uhWQ3M8Ii9yrvNeCHtxXnSuP68eYtKtssFQsNv1TDXdyASwpT/2bqHKkBPGNely18wRxgV5EkFxvAbPNF3EuGwYDJjmik1ZmA4wWDFHlRqwrAx41ajaGJrr9vww/74Hz6OeHQrFCeZKVzoKBYwwCNPT0+1tg162zD+Gnjmp40YeBjT+78jBkZmpRK8J63VdkxgoomN0g/p9wBcdJfLh3o7I7I0js6mpqZw4caJRlWtra43aggryRlbm2zlEnwM2NTWV5eXlLC0tdbx+yxeZGOwdPVYa17pZcYMqpKmpqbznPe/Jr/3ar+WhamcD9+dVpED72Mc+luc///l5whOe0OHK2dDl/IG9dpQcQGUrPN6Oq5W8WeXYsWMd4DL4MPEGfgwLi5eG0vk+NcqoFBbeOx4ECmOw9d4Fmie3VqHYC7US8zpDe9o2eMPhqOqKcNl5ANMJXvzj5GTQqcBC5IJxdH6GZsqPvuGVWS42fo4wKuVgT850Tu13Nb6Atb3AcVFhnWP/DoDEGNfziehPBRwbWaJkQN99tZ753eCMudJsPANDQtTt+WXe0HEDq+9peTCPNnCWJ5suScIjO/rMPNpRsK7zXO4zPz/fogUKKVyOze8cWSFP5yqZS84L4//jjF/tj/WaKMfrhrnnWkpW5+bm8hd/8Rf5wAc+kPOtnZeRQpI85jGPyX/7b/+t85kpFxaAzw4xZQFYeHIBctdRe8EYdCrvawBwjsELz0BJGwciXvzmkbkPniBUi2kBK2KSjmG0gTIImh7yQsW42bMz4HIfc80Oh8d5Rfzb3qcNOP3CaOPdMdZKJ3g8zufwvJoPYP4NgDyX+3psgAO6MW5ToSkCJ62ZUxcYoAMABHPkc7L8DuBKOdAn6zzHiGxtbWVjY6PNZ4167Bi5/6aIalUTY7YRROcNrPTNdB1ytn65346iPQfJqHLMm0Sdy4Peqjk97kOZ9tLSUnOoeN0m1Ax6zFh594WNLc+r/Xey2nNuWbIGXADA2JEZzpgpVsbwkpe8JHfccUceyvaIjRSS5PTp0+1cJJSLDV7sEsQ623s08HiiDGosKIyCPSEvTH5v3pffmrbCk2ax1IjDSk0foXN4Lan5dsDDC5koqYIzfWOB1bOHanRh6oUD/Fx5kYw8RJ9Ga0+Ye2FY7MFVj5Jn+bnT09PNW6K/NPP/lcpwCG85ULnDXPAMHIBqFG0Iq6dr0LQxr9SU5eBoqRp6wNkvg/H8ITvGhqyR+zjap1JHZ4oiAVcfjcFvTD8eO3as9dUg7nvZQbL3i47ZqBg47ZwY9C1vOyXIATCtAE4bDAbtlaR+A54jblNR6DuyYpx2Vnxv+odxg25Kuu+W9vx7DOQnfRQN+ri3t5ePfOQjOXXqVM7Hdt5GCsnhmeZvfOMb84IXvKAJFQ+M5KUXD2BtRUIpzeM5EWUPkBI2QMa8eZIjoOxnnalKJzl6jowXDck4J9gMaFawOr6kmwfgeypTGEv1HpEN10JtYCQBNhYzlJ0rrLzInZw0aI2jYWiACXNhasRASPPipv8YIvpmL9DVP+4T/UDGAGeloCoYOZo0T8/4mQsDMr/HcB0/frxVgHH0QU1yV72kQmswGLTNTo6O+Z2ByjkROyyOoFypZeehUjZ2iGr0aOfLETAyc0RjSs9RuQsbKFMl/+DNX6xhUzLo9/LyctsTsre3l9OnT7cXIHmt0Df3x5Qz97DDVyMZ633NIzg6s47PzMy0PRTD4eF7Ev7lv/yXLUf6ULZHdKSQJJubm7nxxhvz/Oc/vyWnKKekIsPb/O3x+GwSlNeRQfWw+TcLnl3HKDj8v2ujk+77hKnWQAnoS/XuktE2e5JlDuFpVlwMmjcD2Yt30tNes6+p3h/ycZjOYsNQmFqpFUk078OgASIO+fHgkYsrn5JuYpk+VCNhr5n7cS35ENNzlmOlOxw1JqOXvdjDte4AxE4O02+uc4SBrLlfNU6Mi3n1mOz5w6Hjqdr7ZoyuJvK9XfLs/mFI+Jz5cXNfnYdzQ78tRxwHzw2GEfAcJ1t72u4P/eS31vX9/f2cOnWq7cXBOXAxifl+RzeMEcNL49949YzFb3i0vo+bc+aESqPt7e122vEnPvGJh8UgnG07r41Ccph0np2dzU//9E+3hFQyAiJ7hJSVuhkAfYaJKQCUBk+TyQSIWdCuJbfXxX3qhjADXNL1sFBWSjpppjDoP4CMZ1+bjR39xcBVXtYeHX2kDLfSXUQxXtDJKGIyFWPKwwa3epCmEAz6LNoKGkk6vzGXTV/t9dsDdpSCbD0fpthMVblqiwi1ytvG2MayzrmjR6JRZGHKyDIxUE5NTTXaA7kA6vZYx/XTc1SdIeuGQd0yczRAnx3BVeqL36Kr9sSdX7B8fLYWDg2G1P0zzeM+Mz6S5p5LnLcapWNQafTfjoyjxVqOXOnDahht0OzQbG9v51d/9Vfz/ve/P+dzO++NQpL86Z/+aV796lfn0ksvbaeoci6QvSy/5MbRAtdDG+AJuBQ1SUcJCFeTtFwB9da1Dhqqx1EB/3cy0H9jgHz0AQvRSUpXIhkwHQ2g5Cz6CohWdAMkoTIGlmdzPxaQ9w+YnzZQVa6dZ7DIAQqAoQK254vvmAfGUHlqmvvi3JJpBhtF7sd1NurohatSnLS0RwwY21u3cTW4DoejFy1BwyFbrrVhwTutHjUy8PzZ8eFZBmpHgQZDJ3OTkXNh2Vd5eF9HNXy+3kaCfvlajBTz7uMl7Azg7DF25thA7D0g1dhZp/munrXEgXSOsrzmeI4jX68xU0gVFxjz7Oxs7rjjjlx77bUV3s67dl7nFNye/vSn541vfGMe+9jHdspJURSHlUQU3rTmBCTjsTWvXmvS5YhRFhYQUUMyCqHNeRrcKi3ivrBI8NbPdD7SuEQ5Sk5/6J89qWRUSeTF6xAaOfl5yNIGlMZCsKGq3C1tnMfvezjP4YhgXG7D+RtkWY1Lfabv58b8m6LweExtmVowwNX7nymnwHzzUhaq6DgjCUPAb44dO9bhoDc2NjrvGLAckUHVRUcf1vX6N2OqMjUg1ojYRrlGFta9GjVx38rBcy0Ol3/H8z2ndgg8P3j6AH+Nkj3f1jsnvJkHR658Pi4CqLqHI2S9PTg4yLe+9a285S1vyQ033JCHs50N3D8iIoUk+dKXvpRvfvObeexjH9sUxaDrI245TI9yNcoez6S0ADnGI+kmjusCArxRQif2bKjqlvgKFI4KSHIbmK3I/j30FspsWoJ7Vh7elNfBwUG73gl19xN5sRMZesI7ZqmYqqG0jVbN39ijcuWRPUjuRcLcgG2wY24MrOMWLn2otBDyMpgYAJ1U99gMtNXA0n8bfmR3pojKcrcTgQcLjcd38/PzDbCrp+8+mGIx2Ff6oyapqzNkuVfDR595rvvD7z1mFyf490QM6G/dDIeM7RS5YGA4HL2ZkF3PXO8kuddRXZOeE+tejbLRGe+LseNDRIGjNhwOc+uttz7sBuFs2yMmUkgOPahf+qVfytOf/vQG4myCca4AoK4JOycvKwDTuK85UDxwlCQZndTpBJYpEkDA4bZpnEqFsNgMLrX+ORktYu7PZrm6cccHg9lbYowsYC8Ke2C1ztv0APSY6RJCfwM7C8mVUD5ThrGZRqveYO0fAMJn4wyS71GjEYNjnQN7vTaOvnbcuHg+c+jciAGVAwOJFChTNR00NTXVjmjZ3d3Nvffem62trc6Y7MFi7GywuA4dtwwM0lW3xjkljM1ydxUZ+mQ6pUZSBm8Dv6k+G58KwhgI/m398trEILj01P3z+WbWiRr1uF9VLpaN1wxjZH7m5+fbGrzhhhvaawEe7nY2cP+IMgpJcumll+bnf/7n89znPrfjtdlCJ2kHvyWjV1mOCx17vd6RUC/pbp7yBikA0dEB9A/gTh+oivKrH/lN0j1wzyDsg/24lyMQc/v8zguScSfdypLqhfEmKOc+vCh4LrI14PGZd0C7rK+CuJOifGaA434sQNNHjI+5cwSH8Uf2BnjL2gBqo2ADg2ydr+F5PDvpghSNOnbTGQAJY5iZOXy3L2dPra+vd+QHIHIS6M7OTk6dOtU4dcZgSsdUDA1Ze2z+u0ZWnmvmyKBMs8GwAaV57diwVvrFcnU06zXo6NCbLFkj/j15B+uOqSdHdfTThtFydV7Ha5b7VMrIjhTHa9D3ubm53HTTTfnFX/zF3H777Tkf2gVFH9G+/e1v5wtf+EKe8YxnNIVIRmVkHDDHpJiTtAICDHDH9lwINSlxrR6FqSWiFHv6KBOcMPe3AvlNUQZsDEzS3e7PmKB+vKt7YWGhA2psfvNxv5U+Qz5O0Dm56sVhj9t9xvMn6vDvnASl7/zeYTXJZb8zwvdD/oxhHMedHAIaRyq7ZNT95boaCbhiaTAYdCgz5wociVqnGI+jJe5f+2uHpDohrqjj/8jGzcDksYyLdNxPgxo5jXE0zZla1QH/xkbNkXiNUEyXeo4cbTCHNaHvyJff8qwz0Vo2fDYONm6+nnVZoxE7Z8yXo2icMZyUXu/wnQ6f/vSnzxuDcLbtERcp0H7iJ34if+/v/b0OzQOYJKMIIOl6OKYD7HmYB3TVh8sNK8BV4Dd40Q/EWxN//s6LFwCAnnF/XY7pXAbeLeME7AEvc8sAa5K27d+cK/et3qYXBfdwhGDPnesqjeSw3XRJrbqxhwY40mzYkZ2T/8jeSWuuN5gSkWGEmVfG5cS6wa5GGNWA1kRp7fvCwkKWl5dzcHCQ06dPd8oomcvFxcVMT0+3SMK5jXpKqh0U9MZecaUOqzdt41o3WdpoGSZseNBbR5f1euu98zyevwroBn6iL/S6JsW9FriHIyf3pa45GwlTwW7WheoYOdeDHPn3Bz/4wfPqSOzkAo0UaO973/syOzubV73qVe0zL17TPxUYku5Rvbb+5hNReBJ79mhIREEZoFgAjb1CFnWNDOw9+ncOl50Yt9KxgNnMR4RAEprKmWQEXBgPeFmODK8KPY568fgxnkQjNSFHswfpaMiGlvsDeC4jNpXgpKoNH83JdlNk9vpMExg4qyPhnAHPQ47VoHEfe8d2IEwlWX+QTY3c5ubmjhzQaGA3HeJ8gY0eskf3x+Ubqqdsp88lpb6XZWjP38/BkXG05OtM8XI/r0nnbUxp1s2DyMzjqo5XnXvn/Kq8rONmDeqOeOYy6b5Tozo9/+f//J+8+93vziOxPWKNwu7ubj73uc/l+7//+7OysnJGzpJWPRDfx0ZhdXU1vV4vi4uLTem8oFEe3qNghTQn6eQaykL4ay/GxgFjQxg7NTXV2bFdvUKey05J+kc/uN40jytwaiRkI1kBkDFx5MJwODpawmWAeFr2nrw4kxF1BoXha6uH6CgAOpDnY/gAcmTlUlLnJDxX9hDRC+TG76AP0Q2+N0VmY41xsZHle59rBb1HZEhfTVVUELTRrslSDKIru0zH2AFyvsdyRkbokKNsGzx70jYkBnTrUo3suI91uN7PRsC/cXRW17KpXd/X9+QzF4O4LBzHhD1QjnYrJch3dli47t57780NN9wwdqPpI6E9Yukj2otf/OL8/M//fGeheJIAjBou1xNIEYO9aldnOAoxXeMkoZWWRZF03wRWa6q5Hx60uVaDhr1qe5/0jUPAvK+gUmaVz65gUMeJAbGR4fgO0wEGVj8DGbPYTC35uQ7BAULkwlgMan5fdaUAMFA8B3n1er1OUteneLrMFkDmt44CK+h5rpFTjeiQDcaZkz339w/fm41xMHgShbE/wd40964Jc/49rlU99bgMvK5iqg4POuFI3PeoMklGe2f8GTL3Z5a755vPHUnwTK8fRzvcByqI+6GbzltUvfH8YpjQHcOkaSb0ghzYzs5OfvVXfzWf+cxnxs7Fw90uaPqIdu2112Z2djY/+7M/2wEIAJ3JNefY641KWPHooYHm5+ezv7/fygBnZmaa91g9VYfEhLOmX8xFojj2QuxhGqztHdOs+OapoZ4M8hyg55De3lkFMegWLxobRUdSm5ubnSgIY+F6fAwA50RVcOA5lO7xf3Pl9JHzoVzpxFwlR89CMlXiz7iGv6HN0Bnux9iqAXXS08CIDGxUavTn509PT7dKNRwBG12Asb5Xw7uZ6SfPqHRkjZiZY35fOXlTQY6oKnCaQrScTY9ah+20+HmeEzsgODIGLu5lr7/KlD5UXaggz79r5GrnATm7Mec+5saRve915ZVXnrcG4WzbI94oJMnNN9+cr3/96/me7/meI2Eh/zeVsL+/3zYF8aKO6enpxrEDVkQUAKzB2so7OzvbTvnk/zZELErz+LUiaGpqqlELGJPKEQPs5kxZtF5chPk827Xdjpj43Bwr/9/f32+evoHcZaMsQqIUANUlnWzKq8n9g4PRazp5dg33d3Z2srm52eQCVeWzl5C1QdPGzfPkRU8uxJQI19XfOvKr9B8AYaPq6ML3BXww6nZa0BEMBhGE38XsezlvUufYuRYbFkfSFRSr0eZz5qqO2QakJssN/Db2zIGNjPXcVKN13E4N19W8DmvSz6pRgfVvHGUF0Nsw2uBx1L2dMPflG9/4Rm655ZY80tsjnj6i/bW/9tfy5je/OZdcckmLAJLRwXkAu9/niqItLS1lcXExOzs7WV9fb/QC3r09XZr5Xr7b3t7OcDhs9cpeSEmaZ4hCueopGVUREY2cyQgZdMx7EgHhSTsKsCfn/nghekwc0YxxdLmqjw+p1IGpkxp9mAZJjtJHDte5r0HRIGD5+Hp7xjxjXHkt98HT828cYVQj6iSkx2zZVaNuACLy6ff7R17gMj8/n6WlpUxNTWVrayv33ntv0ymP0R6zaSH6VL166FC+N/WHjNxPA151Ojzv1id77qYi+c5y5/MaWdsh8Tj5jkirGiBaNUBuLhow7VOf5U1opseqvlmGMzMzufPOO/Pv/t2/y6233nrk2edTOxu4v2CMQnL4tra3vvWtecxjHtOhIdigxTsJ7OEwubwmD4/AypCMB1AbCuRjEBnH8fo0SwOJFdaejvdheGHWZCSebF0YRCGuuSfxbCWvOYVxL+thTK6MqeM0nQKQGhQNCPTP/WDBOeKAr2Wheu4MTJVCOpNRMhWQdEuSTT1ZjgbKmneofak0lt+LceLEiRw/fjy9Xq+9P8C6wVvWVldXs7a21umzcwPomvl3nl1B3Ppby2ftsUOhuPmZyLHSkJXjd5/tUNhhsCwdHXCd5em1V6m0Suea2nN/uR85J4O63/qH3qAXnk/myEdrDwaD3HXXXfnFX/zF3HnnnTnf26POKCTJS17ykrzxjW/sUBFO6EI3+KUuKNCxY8eyuLiYXq/XXokJDWRulXu6JM0L0RuybEjgTAFhg7VDZG+m8jupbaSSrtdn8OU7wBxQtRHBOBpwGR/XcY6UKzS8s5T++cwgoqp+v98BLDxMKpYMJMgPaigZlQR7fKZImAMbJ7xI89D0k+vsBdprHMeH2+umj9Xo2IjX3JDHQcJ4cXExy8vLzYCjVzwT0FldXc3m5uYRSq2CLnPMWN0Hy2YcPec+0gyIfhY6W2lIxmqQNS/Pv+u1PkW47o+oWFOf7xyODYeNhw0iOuD5cERgg+Q8m8dV83t+xq/+6q/mU5/6VB4J7Wzg/oLIKbh9/vOfzw033JAXvehFbWIdrjORbO4aDAZt8xLHCiwuLiZJh1qgOYR3gtmA6QqjGkHYc/EpjsnIM+EzPFp7yfas3LdaJokBgsaCo8ZDdwkdwMeCIcnOmLwIku4haWyA89veTBG4Csp0EGNy8s4gzljMBxvkbGyRIx5fjaIoFqilvV70plcYo8tZbQQMiNaLugnO9ycKZUwubUXWHIPBeV70x1EXz3JfvU/EBsb5AyIVHBXfw8AI3WrjZ72nL45IrA80GwnfzyXR/N7Nxh1dYJ3VqM20riuMrH8YE9NefpZl5HVeI0Ma16Jj1113XW666aZcSO2CixSSQwV+y1vekhe96EVNGVio1TuDNiB62NjYaDXqg8Ggc7iWwdsLCW8HDxgwMG3BvoPKOdvboz9+/aVr+u3BAAjjvCz66sPHqhFLuvyzIxgDtpO7lq8XCmOj/4BdpaQqzeG/x3HFLhmmVbqASI65sKdnsLLB4RrTVUlXx03tVaDyWAB4xgBFacPtKID81d7eXra2tjrl0P1+vx2ktrq6mvX19Y4j4UbfiXjRMZ8lhTeOvli+Bs1xumOZWbbohmHDkSb3Mn3Gc2wA+V2lfmxouI9lYNliFIhW6ztM3G/WuNdP9fj9bP/tsfq7a6+9Nr/yK79yxEE4n9ujMlJIDpXt7W9/e5LkiiuuaAkqvrN3b6Cem5vLyspKo398bIKVsiYkzZuitHD3Nh5egFbE6jUZnJ1rMN1En6oXxGdUsjhR7lNU+b+TlfTfAG+6CfnViMQRgqMsU12Aqw2F68gpAx4nX4MDMqFvzC3G09Qbv3dexifaGtiT8Tt9DRx40dWgMCbTYabvuId3WVsfGBNzX4EI3aC/1jt70MynjRfXe0w16jMI1wjHxgAdq1SddbEa/uq88JlB19fasFfqzp69j8h2/6vTBWVp2pA16vHSbDjRTebOkdB1112XK6+88hFlEM62XZCRAm1hYSE/8zM/k+c+97mNpnAy0p7H3t5eA1J7dvxma2uree+AZtINqwF5FLfyuCw2g7QXjTeleXEAftBeNhLjPB4AuCYNq0ds8HUzxcE98cqTdKIBg16tzLFnaEqFXEW/328JfhvfagRqf5CrgZvxmdf23CBroi/AzF4uoGNKxPSZQc+gyViRu/uNvKHaVlZWOjkt5MAf8lq7u7tZW1vrnHhrTh1P3E6FHR4DWKW70E173Tby6ECNTtA902ln2ldhnatFBzZ8nucaGTDGcbQP47Lu2ggxBleMeY3Y8NnAW/9qJMnn119/fa688srz4ijs+9rOBu4vaKOQHJ50+hu/8RtJRgfAJekAAgqD9+lkJfsUhsPDN2DhNZhvtwFAKaF8ktGxDvyW39VF4JfQ2Buk+Tp7k/YE7U2zEM3BW/EreBjc+T/3wcAwTt7fQF+rPAziGEFztMjHr2L0c+vCrZ5iko7X77dtHRwctJcuVTkzxwYn5pPowuCVdKuixkVIlp3l5t/2eocbI48fP970ydVHgJCPzV5bW+tQcX4+c29dTI7u3k3S0edqrOkv0RZ9sQ7Z0NfGeqmf+dqaC6q0kp0mF1cQrVuHKw7xm3GVRozd82iHsNKgHmvNYTjq/Ef/6B+1PUmPtHY2cH9B0kduu7u7+dCHPpTXve51DRTwyq1MjgqsMHiZ1JdTN54cVZykuynGRx73eqND3BxlsDgBNLxnPsP7rC8T4k/15pLurtzaTxaawdJ9GbfAWeQACoe2kXfBOPj+yNGH5nEv5M8ucW8kS7rJXvoJ+AAMgB/34whxDARUjkGQOeaIYycq+d58t0Gz5lowqGzOM1hZjv4cWSHrupnOXrENVzUCBjmajYv1kN+4b55TGwh76C4rrs3OisEYQEYmNXKrv+X/XFsNtKlCy8vPNvj7GdWAVcPhaMP5Bj7zvQ4ODtpa/h//4390yogvxHbBRwrJ4QJ59atfnde85jWNPrBnZb436R4PjYL7SIZ6iF6lEQAvh/XmJQnxXQHlxez8QK1QqQshOQqigC6/d504AOYw37STqQUvnspL9/uj9z4Ammc6pZT8Av0yAPHcpLsXw/Iwj8y9+cwR1fz8fEv0ulTWemBQRHaM2UABSNsIYLwYDyBlqsrLqRoYdmXbS0bO5vJ51vr6eqdKrFJlNtTVY/f1jKE2wN8OQzUajMFGp9KNjrjcB+sXv7V8/FwbkFpwMc4I2khUmpbvHVnWqI7vTR+bSmMsyG17ezvvfve788EPfnBsxPRIaRP6qLQf/uEfzk/+5E82RSCsdmVP0vUS7T1Z6aFNAKtkBJjm/Q2q5nvH8ab2BqkiYeHCPZPzOFPpIKDi8kVfZ27cO525xqE+46xAjSHEe7L3ZzrNnng1fFzLdzyXk0RN0dAPe/6+T92rMG6/ArJMugea2bCYWiAqc2SJweG4A0qcyYvYCaDxf+gZg54pvAri0JUux6xRh+mhGtXYezdwVt1Dtpan9YbfetOXc0027ugn96l0og25Iz/3wWBuOfp3zK9LhPnetFiNfrxGbfyYD+bCusy///t//+/5wAc+kEd6mxiF0qanp/Oa17wmP/ZjP3ZkAXhDjENMGworc13ANRSvkUMyqg6p57TYAAGMLC7uYU7ZtFZydLeqPbSaT7AH7z7XBKwXmIG40jeWl2mrcd5n0g3j6Qu/cUkhHhrHdjB/GONKdRmA+D+G0R4j/XWEV+dg3Bza0DF/HHBoWdkI82xTZsizvnyH7wDW4XCY9fX1lndxEps5N4h5fFVXaxRc6UQ7L5VW9O8drXq3b9J9lzfPMd1H8xx5vZgmq/QQc+nvTXM54qyAbtky3nE5k1oNh57u7u7mf//v/52rrrrqSIT0SGwTo3CG9upXvzo/8RM/0cCNc/PX19dbWGqKxYsx6dI14+iIGl5SFkdUYnCv9MxwOGx15/bwuKZWFpmjpk9eEMmZd4km6dAHADILh/HZIwWIHY67igWwd2kofeBa+u36fp5LdAAdxL0BCEdqjNsgVROF9MfzxucAVDUEBi7TcPZW/Raw6knTX+Q+PT2dpaWlNh7Ahvv5yA2DGO8ZZ46g4g4ORsn76gXTPA6PhQjInjZGq0ZgBk+P23Ng3aleeZU581OvqdGso90K6qaVTHN6fVRnyUbHtCzPtoPouR8MBvmt3/qtfOQjH8mF0iZG4Qyt1+vlta99bX78x3+8s2C805ZWQ+6ku+kryVgA4Xeu4Xfyin6YJkJh6/n+5ngrXWTvjFa5Whs3PgcE6rskHCXVRDoAxwLm/tzb4FzpJ/pKmO4qLL6zx2cQoWTV0Uld7P6NPWfLypGR6SW8RF+LXJgzGzNfV/n3fr/fOVaE/h07dqxVvwFceLrj8gGAtw/Ec8SHvA2uniMDLVGlI0fTlfzfzgB9shEbB/Dcz89iXFxrKqtGUv7euuW158jO1Vc1urBBtsz4vTeqerw2nP7Ne9/73vzu7/7uWQHpI6VNjMJ3aFNTU3n1q1+df/AP/kEbG8Dgk1TxylyZNI4+8qFnXlyV5qmcpWmK6rEm3WiEe5i+qSG4E9PVG/OCpA/2+P19vb7mRFig5osrReF8CQveu6pNaxhQMDRJOtdCbdFfogrfi3vU6MkvIeLQOfptiqt6xjXy8nXer8Hc+Mhye9x85+S8aSkDH8/c3NxstfDIfVx1Ts0vONLF8XA0g655xzO5HOtev999Z7ippXHFAcyXZW+HxRF2pVv5bdLd3e4oyTqKDKuht/Nlp8bX+97Iwn3b29vL//pf/ysf/vCHLwjKyG1iFM6iveY1r8kb3vCGplQsNPOTfJeMjriwYgKiKHDlYL2Ik25i0FSDQ1eDg/vgZKV/h7EyOPA7nk9/7c0zDvIIHPttj9iemBdy3czGeDw+e+nQD46GkLOTrfyOcTEee7eMwx6wPW4DiY9+sDftpL/f0eBm58CRVI0mKyXCmDFws7OzrTrKkQxjG/f/ra2tlrNws8F3X+hnHb8pIvrlfRYG1eoYeC75baXzqqNRE9/+Q3OOrDpJ1htHBB53jRacR/HasoGz8fXceJ0Nh8P81m/9Vj70oQ/lQmxnA/cX/D6F79auuuqq9Pv9/P2///ePhMxJ2u5TqlDwEpPR4sVQJIdC397ebhuykhGg28uq3r+9pXH0EEpPFRKNxcU96+9s0OwZexF9pyRocrRaCAPgvjEOf8/YDcjs+YBGMch4kZoqs0ftyqJ+v9+pVLLCOxLq9XrtmUna3omdnZ0zRhmm+jx+du5yXT3Qr4Kfab+5ubkcP3686QAbAE27OQoxoNXIESDjuTUPYLk5d2Pdqca7JpDHvccDXbOh5L6mwNAPfocu1kjQEYWjSeRSqSRH0qwTn8xLs1GzoR8MRkfe1DYYDPLbv/3bufrqq8d+/2hpj/pIITkc2w/+4A/mx3/8xzvnpUMjsWAAASu3PXwUFGDt9XqNTqrcZqVWaFTiOLfh0Nw0FZSW/zgp5+ZFaSNlj2t6errRLOa1+c7Ak+SIl4V8iATcdwwtcpmfnz/iudrjN3/taMAlkuMSrMxnBU/Ai4Q/fakbBpk7G27PE3miClpeH6ZwiNJ6vV6OHz+eSy+9NCsrK+n3+9nc3Mzm5mY7iNGRGW+do3/oRTUeVf7jolhHkzYwjrSYB34PoPtk1Rr1VRC2HGzQrQP0o3rnHpcNnfti+VbHpq6V6mT53h4/erezs5P3vve9ufrqq8/Km36ktgl9dB/b61//+vzoj/5oDg4Oxm5Uq0BvugAFBbicYK68NKDkEJyFTzmiX/RTd/vyDHtZLHDvpfDC5P82Xl447pujju3t7ezs7LRafBuWpOsFJt3z+JGRKQobVMZL/y0TgMceqZO3GCD6X6kCR2KATq2iMnWE90rUZPrM1BTHntT7DofDVi3EvNnYIP/FxcWcPHmyvXaVud7Y2DiS9N/Z2Wn3s445F0CfMEKMD0NWqSoMmcsvkTGGzpGT5emok7m3U0TfMb4GdeafeTU4Mzaexb0dtdf8WKURTV9VqtT9wqj7ml6vl/e973256qqrcqG3iVG4j216ejo/9EM/lNe+9rXt7JxkpLB4kGxUsjfPdVZuA2zSPSvetBN/bFhqHsD/ttcPONpIGZhplWuutAh/2xs/duxYZmZmmkc7jmoxwFeqgT71+6MjO6qXiEEEAKjJ5x4YMAOPvUlHO7UCyfPC73wfABVZ2pBzDxukKu8KkIzN1BBjdMkpgOl7uOLM4AZdaHkhf0qX7XhwHQDv39A3H0WepLNHxY6N94/U3eH0k+owR5L23NFj04GONBk/nwPYLjGutFyNeN3QNRt0O0nIFb3a39/Pe9/73gtmH8J3axOjcD/bD//wD7eqJCgaFhaRQzUYlXcGdBwlVE/WdJMpCaIGe9f8jvs7YnC47aqQcV5cNTgYKMZSnwdfu7m52an0Sbr5DAOc8xn2DMfRFVyTjHZyI/M6Ru6NN2tj6THX0lWM7bgoilbByZVW0Azm5qsRZK4q9UEOAlliaHkOv8EAMD7TX0k6OuX+GmhNFdl79tgc+fBbGzruWekcG84KtjYINeqgmeqqBs7651yerzX95cjUUYSjhRrhOTpm3Ht7e3nXu951QexUPts2MQr3s/X7/bzuda/La1/72k4tPfQJr+rkyAnzmg71q5ebjEosHWEAODYGBnf3C+B3aad5b1f0VK/cCy7pHv/M/ZNka2urGQDGACVmjhvArN67QYrn2pDaIzXYANzezW1DV4GnghHPco6CvkMTDYfDDk+OvByFOA9Qy0Drbm8DkUENSse5FNMxlpU3IvK3oxsbG+uKnQsDaNWtCpaO+FyBhM7auwdwyWE5CnWOy/2wQavg7rXhyK1SotUJqM9xdO37Vb3nvjzXz3zPe96T97///UcioAu5TYzCA2iE+f/iX/yLvOhFL8rOzk4r2cTLYHFVz4oqF37jEBvwASDsvdnTQ9782yG0jYc9S4f7NcoAfMflA2p4DpA4NHetewUBG0K8ToC5Hk/AmCqdY28ZwP9u77jGGLsqxXka79iljxg2ZFS9R3vXjkpsgExxOG9kY28Z+jPoMedEfMTF1NTo5UcGbNNslVOv82q5GPAdoWHAqoFLRpGQqcJxO9CrfpoyquWtNWKp1KZhyFEcFJ+vG1fV5OgBGbigw5TUddddl1//9V/vbMh7tLSJUTgHbXFxMW9605vywhe+sOMV42X1eqOD4VC8CpQAh8PlcdQJymsv2Ek6GwwMAxSFvUf3Y1w1kikvU0UsIlf4+Hn2brnW4FMTytybctDt7e32/mcbJuRFVLWzs9MS7QZk0wzI21Gawbly73jkHNOwvb3djnsYB1Z4xgZQe74YMJdwGuht7Omj5W8QNyBX7zcZRZLImzG4ZLQ6F8iD+XCEUSMkgzr9rN678yqV0uM3FZTHVf5UXeN7y8L3q2CP7CuYO6IyZWiqtd/v57rrrsvb3/72R+QLcs5FmxiFc9SWl5fzpje9KS960Ys6HDEei3eqUq3Dop2enm7VJUnamTmVS07SqVQxcCbd/Qv2vviND02zx2yP2wBGqzRUMkruOfqpEYK9fvrLc5EPlNNgMGi7ZWvYPy7KGAwO33RXczOAinMbBlNvGjQw+A+A5ryIwZJIgntAAWEwLC/nDzCIPIf5r2W7VXZ+9wBjrcaV59B/+g3Q1tyVm0Hf93J0i/EwSI9zQHw0Si2r9riqg4B8bLBrNFCjVcsVp6cCfC1NtTM2jsr87Gc/m1//9V/P+vr62Sz7C7JNjMI5bP1+P//qX/2rvOAFLzhSIQSgVS/HJX4sAitvXTCVRrJhSbqvzRwHquahHTUk3RetAHBeePS5VnOcKaz3WN0ARYCbz4iWlpaWjhgoA1Hth8F2nNfpa2pEMS5Ccs7FxrKCDZvbBoNBB9wBJ2RK/qO+p9iRkKO1alTREfTC+xswbP6NPf0awSA3aCr32zpC89HmLnRwiWuFB9MwHiPzZ6rIelwjpUotoQd8jqxNFfG3Ddi46LvqUb/fz7XXXptf+ZVfedTRRbVNjMI5bisrK3nOc56TN7zhDbnkkkuSpLNATC8AEHidPqHSlBAL8EwhNSAFReUKlXFGIOmCIQsdz9oGhv7ybPIk46gOPDye6WPAASJ7r/ZCfW6R356FcbIHXCMg79EAkFwuCai5/LNW8PiwO3v1yIpcDyeSIhfua0qJ52H0fU8nSvmtcyeOZmqEhefufAvzzRi8F8FOgJew926MA1sb6rr0bXjcDPb0Bfmbu+f/dpL4vaMCP8NjdlTL77xWLGt/7qjA3/f7/Xz729/Oe97znvzpn/5pVldX82hvE6PwILXHPOYxeetb35pLL720LZJktBC96zhJowhQ3poABSDtgeINOjFpjjsZLSiH0oA3Z/0bfHiuoxzfe5xXlnR3iZrK8FvBACB7pvy2Ug/JiLLg91xrQDwT520AtVFjNzayR1YudcU4cQ+qqTBeg8Egm5ubraiA+v1x+03Mv3tM1fv1554Dfsvn/H9nZ6dTxmp5VrpoXARqb5v+Vvqq7ulARhj+nZ2dTqKbua39r165nRU39wF5Vz2rhs7l1qbmPEYafbYO33333fk3/+bf5Nvf/nYm7bBNjMKD2J74xCfmF37hF/KEJzyhKbLPYOEze2Y+UoHF5Y1BBk9TCnDZU1NTLSfhRNo4/tmAVymqyp8no1xHMjo5tYJPcvQANieba6te+ZkAzGBfKYAqT+9F4HpTYVSU1PcN8JkBkT/Oe3BgXY18MPaODPFsmQfGZeCuY8PI0ReS6skoN4VeONeRjKrZAHAntU0tIntHfTWnYm7flUC0M1FwlaevkYXHizysOzb8Ngw4DK4wO5PsbExsBPzbr3/963n729+eb3zjG+OW76O2TYzCg9wuu+yy/Nt/+2+ztLTUvKhxHin0BQrsReWzlMzvcn31lJxjMCg6lHcugmuY5gqM3Id7+wgPAzj95vpxXimAbl7d4G6AqN6/QYZnOPqhj4y33hOKjXv5VZrD4bCdNuojGGpexR5qTUQTydX8h2kd034VgLneBQA0GybmDlnU/IwNItQjnzvqtD54z4mjSffNuRvu5RNdbUg9zvq3QTw5NAQc18FzXfEFHWpdsLGwLo2j32oUs7e31yKE22677b4u6Qu+TYzCQ9Cmpqbyfd/3ffkn/+SftM1tLGyfL1NBf39/v52mSuVSrfBxItmLBLAB8NhtnIw4eY7pMJ1husmADhiw6GzU7EXWfIdr/A3oeOvm33kO8qmAztjsnVsWyLp6xMnoKAXOfuIEVl5QY08VQHYZsSmV7e3tllvhqGv3zWPFUBDBIaPqIXN/v7/Y9JvLj+nvcDhsOQznBDwXzDey8UGOgG1NLtO/WkFlWdZosBoDRyHMP32rv6V81pSnS3n93FrF5MjRG9A8l8nIMJ86dSr/+T//53z6058eqyeTNjEKD2l70YtelJ/92Z9ti8IbgLwQTR+4fNMA6kVk8DSfbhrIlTn8ZlxewMdoGHDsJZvDpxkI7f3W5J69N/9tg1RpJvPxSfcEVicTAbFxtALfb29vd8ZvQ+rqIWRpDt195tyifr/f3pbmsdgwukLGwA3gMudcb2/dp7EiU1NFPtvIEdk4iobvTPc5CnLkQH/GRXyed1OSNbfBXHG9own3b3p6upUjE8HVPBEyZSz019dMT083Y0ff+Bw5/4f/8B/yqU99auz6nLTDNjEKD3G79NJL88pXvjKvfOUrG9fc640qaba2tjo1/Hirzj9YzgZGh/iAoPllwMC0DYbAIGaA9VvCyC9UDxcv1sBjkMLbNT3Gb0wNJCOFNPD7OwMb1+GNAzC+dhyQmV6qxybY2/d7im3svEMd2VXKwwlYVynxHPpousM0VHL0TCHTNujF/v5+yyNwL35baTvAHl1gntyXajCQQ9KlwZzgZ87sCNgRqfklGyrPFbIZRwkih3GRzZkMEQZ9b28vv/u7v5urr746d95555E1OWndNjEKD1N7wxvekB/8wR/sAJeTuH5pjzezsRjhgJ04dQLaiU+MjnlrFlbli72gDfTOPfB7Uztcm3STx+OiFHvNSbdyyfcxYNWcBA351WoWAxzNSXEAmnu6r3wOcBlwbZTqvWwc7N0iV4yOozgbaQOj7+vCAHvKPqLbm7ZML3FdzTPVMl6M17i+sxkTOYzbU+FxOifBNaaYHPV6FzZGqsq+5s0qXWpD44iKsf3O7/xO3v3ud3/XNTlph21iFB6mNjMzk2c961n5oR/6oTz96U9P0t1Ig1FA9K71Nx9vfpZmUGUhsUhZQOQsqvdnqoiFZYA1hWPaySpSPdtaHVQTtk6a1rEkIyNpqoDPuYcNlpvBl7HQf8ucaAO5GehINtvDrp5uMnqXhgsKAFW8e8Adw8D9TZE5Oexra4TieXYl1c7OTpOH95XgXKBfnguaPXvkZaOOfhjYuY4/7hv99h4a5wCMGXUPjg0LoF+fZdqS51G0cdNNN+V3fud38vnPf/7ImwIn7cxtYhQe5jY3N9fKVi+++OIMh8POxh8WijdH2cMGrAjzHXEYxF2Nw/9ZnHVzWdLlf51ItZfINa6KAUSSdAzSd0oCAo41x4FnWr1fxuHIxt97n4ON2MHBQauecu4AsK817rWqCuMA/+3xTE1NNRoH0DToue+m1Spfb+MIVeVTV2u+gvGiN4CyqSR0g2iyetL20B1hcA9HSzZyzjfRnNPAgNF8P+uj8xnoM61GUXYKTC+53XXXXfn617+eX/7lX26lvJN29m1iFM6T9rSnPS3/7J/9s5w8ebKF/C6to1zSnpcXhMHCfL3P6AEAXcnCiaMYFucbnPR2FFOpFvPOGC2MQV3MphEcMdAMkv7eHLMjGYNW0o1gfL8kYyMXgx8ANS6x6wgNGTqfw7+RuYHbkRibBTmaO+meluq5qjkF7sdYmBM2ISaj3cqep5q4t+GxcXPkUWktz5npLxdKOM+AQaKKCKfBe12Qv59Tcwn0x5SRf+Ocz2AwyO23357/9J/+U/7v//2/93UJTtr/3yZG4Txqj3/84/P85z8/b3jDG5os/SJ50yiutyeZ7AVegd18tytqWHgGGZd6mo5gBzCeYtLdOLa5udn67BCf5sQn5ZamK8xtG4ycPwEsPaZqaHiuoyt7qHWns8GTii8ftEe/6ePm5maHqzfoGjihLHxsx2AwOshvamqqRR0eg/vlEmS3CpjjDGF1GqC00CecARtDKEUn3U33mIpzNGl6DeNpuWIUnZhnXtAN+mtaruYfXEll/drd3W1HVdx+++33ZdlNWmkTo3Aetle84hV53vOel2c961kN8KFwOFrAi9fhupPVeHLD4bDjSVYv1zw1i9XeGIvV9ELlhA309noNWuaZARtTVkmO/LZSSnzuZ/V6vc57nA2K3JOxQ9twxpINnTdw2Xg4AQxfTeljv9/PwsJCklFZaz2Vln7XXIGNrYEZI2vZm0rkXqZ8bJy9v8By57Pp6ekOQPMd8quRGP2tssAAUBqLkeHtcVTXOU9lg0kpKgbbUSCGvx6jgfHBGdjf38+nP/3p3HjjjbnmmmvO0Qp8dLeJUThP28LCQn76p386V1xxRYbDYRYXFzvHJfjobQOKy0/r6xkBPhatE8L+u3rrgI1pjko1JEff92DqKTl6AJs5cidS+dx/AAd4cwOFvWuAJOlWJvmgPSdO3T8+Gxd58D3UXa/Xa5vY5ufnMzMzc8Swcl8niwE1rq8v1EE+Tnqbt7f37Ool5M9va77IxgEZAKouXHBFmyNQ/54Nf7XKyJVEzlt4HmuFnSvpTG2iR7W01zmtwWCQT3ziE3nnO9/5qH33wYPRJkbhPG6zs7NZXl7OW97yllx22WVtB7K92KS7Eaxy7d4pDefNovVOacAJULEXzeIHTL0r1sBbq3ZsZOgL13s3NQBmnt9RjPlkUy0Gh0qn8HyqfmoSOcmRdyNXft3P4vn0yyWe5rbtFdu42gDY2PqgxGR0fLk9a2TuUtWaH8GY2vN3Mhf5uyDAyWYbwipvy8PRGL9l7HYenF/g0EAbYL733gvTi9zblKZ16/bbb88v/dIvZW1tbZJMPsdtYhQeAe3xj398/tbf+lv5u3/37+biiy9u4AM4+LA8IoT9/f1GV3iXsqMDwNm0QzICCVfL2OM0OCbd0y35296lq5HwfH3ENM924tqcNM0JSJfY2vPHCycBi8HxM0xRAdL2av087uOKG543NzfXXr1q+Saj6IDxALQ8294vdA4n5frZyMeVXTa2yNWREr+vRpm+ed7qPPn59M1zU5Pg3Ne0nQ0hx6sgY1d+mQbDaG1tbbX7+D3ZyOKee+7J7/3e7+X3f//3c8cdd9z3xTRp37VNjMIjqD3nOc/JL/zCL2RxcbHxuUwNnhdeMS9QodrDSTx7fniiLE5zwEQJDv+d2K2VP9U7BkAADlcV0WpC1R6j++tIxF65x1HpC1dYuaQyGUUU1Sv2M+teA2gOV9uMy3H4JTgYgBrl1LkYVxGFTJGTjbSpNxvEcQbaBsS/q+cqjTPo/N7eustMPYceJ/fAOFKV5WohGxB0xIlkU5/JobPy7//9v8/nPve5B7aQJu07tolReIS16enpvOpVr8qzn/3sPOUpT0kyAji/bMWcLEk/J/lMC7m8z6DhdiZwYgHbi3eVEIufe9AnH8dd75l09y4YoPjO4FQrbbjWXmmlZ7yfwMag5jmQifl6IiwqrsjT8GwA1NFMpYNsvBgDAGi6zcYSGbtCzBGQjSFjqFSP9cVe/zi5VEMFnWNj6ms9v3YEnNx2pEPjHkS26O/W1lYGg0G+8IUv5IYbbsiHP/zhIwZp0s59mxiFR2g7fvx4vu/7vi+vetWrcvHFF7cjjPFWDVpJ99wavNrBYLQZzYDocsTK9Scjz9HfGUDtmVbjwvW8wYzchb1c88qmUVzzbv7btI2f7+Qm4zZgJt1jpunfuGqYce+5PnbsWOuXDYyptwqipoQqLYTBMc1TqR8DO/evuQCX8JrC8qa2miC2LN0//o0+ePOby6CdOB6XI6jRo3XQ0Z9/c+edd+aqq67KJz/5yZw+ffp+rZNJu+9tYhQe4e2yyy7Lv/7X/zpLS0tZXl5Okg4QsAjZXObyVkJ6VywZILiHowlz4ZVPZnHbENRad1dL0QdA154wgGaDUw2NrzWNxFi5BqNTK5ZcleWkr6Mc52yQX5JsbW1lOBzm2LFjLe9A9ZcB0SDs/IfnxpEE33vzYq0eo5mjB2CdG0pG+xNqVU+l5pxf8Dr2q2KdXKcfNgbcA0OPnK0LNtb+Y1ptbW0t9957b/7jf/yPk/cdPAxtYhQukPaSl7wkV1xxRV760pcmGXmU5sT9GkpvisPT5XPzz5UnroBCOWUySkifKVowNTTuCAee5YiB39v7NAVj2giAdCRh6smesA0K/6dvgCvetPMS5Gl6vV47PpvqGlMsVQ4G3xol1B3NzimQ23AOhc/HJc2dT8Cg1KQxxsXRjfl/X++54O9q3JA9BsP9M01mI8h8Mn84B+w5mBxv/fC1iVG4gNqxY8fyzGc+M69//evz1//6X29lid7IZhD2mUfUeeP5mgJJjtJAFXC53pGAj9gwZw7Q8WznP5J0jEwySqI7UVurcxwFuJrKHjq5ACcvud7RDH0fDoetdNbPcbRFzb7Pq6rJepq5exsCG0vTcDX/45f+OCoicqtnLbGnwkbAZbnoAc92Tsj0Xd3sViML70mgT36Oo4+asyLK+cpXvpIPfOAD+eIXvzgpMX2Y28QoXIBtdnY2T37yk/OGN7whT3rSk5pnSwP0AAWOWtjY2MjOzs4Rr89gW0sjAV57wICfARGjUWmDpPs6S55RgYR7GLQcVVDhQj7FwJMcPYBv3D2IqLgegCYCwtM2oCcjCuXg4KBDw9VqIVodl/vgCILvGJtzFvy73x+dqMtczs3Ndfpkzzw5unvZII+xr7kBxoH+MEd+hmm+GqnZUHPd/v5+vv71r+d//s//mVtuuaVD+03aw9cmRuECb694xSvynOc8J8973vM6XHky8urwoJN0aAFXnyTdxCcqAUgDEpU+sUEZRz2Zokm6FU0YJnPqPM+bo2r1kvl8J5jpb5IjBoF/m5Ihb+I339mjtjwBPLh751ksbwyfIwK/IMgGkLEjk7rfJEknMiN5X0uFk7RIwgBe6TjTTZbFOFlbFjzLY0LeSfdEXmR//fXX56abbsrHP/7xc6Tpk3au2sQoPAra0tJSHvOYx+RNb3pTLr744kZDAGYAGHsaBoPD11Z6kQMO9jbPVKUEUHiXsCkaANxlonUjG817AayGgIwNlCkqAK1WtNjTrwly70twst67wmuFDiBNLsYG1H/7IDpHFc5FcJ0B2fkX54acq/Bc+IiPWhLL5wZnR2WWp6M6z4cjjupkWO6OZOjX9vZ2Tp06lf/6X/9r7rzzzqyvr98nPZ60h6ZNjMKjqPV6vbzwhS/MS1/60rzgBS84kkhNjp66aQoGgHKCEXrDHHKSVtXk0slkdD6P6RXAm8+dMHU+ohoiKAh730k6UYGBDY/b/anefPX8/XIWRyM2loyL+7lCy9ETfXKU5FyAj6EwUDuK4v+uiGIMPp026Z655L7WxG+NlOrhd+gFhrnSXv63k+pETjMzM/n0pz+da665Jtddd91Zgc6kPXxtYhQehW16ejovfvGL87KXvSzPetazOnRDTSK6kscNgDBNZMMAmNqzrFQT4FiTyPbWfaYORgmP2UAHKNXkbjICRxLELj0FBGu5pBPC7ivj8xlF5ux9wmyNWuhXzcEkR3MeHs84GsgA7HvTJ6IA/o+cAHxKTP1cZGLjYDqOOXekZPptXPviF7+YT3ziE/mjP/qjzjgm7fxtE6PwKG7z8/O57LLL8nM/93N53OMe1za8ARLmmu1ZU9UCVUFi2olLgAov2XQKoORdsK4IMuVhzps+OfoweBrUTe24Tx5LPSsqSQf0nex10tTvZPZYOX3WeRdHYPyGnIuNUqXDMJ42yM4zYFiSESWFrMf13X8sX0diNrCOdhxhISPG4n5xn729vXz729/O2972ttx2221tA+WkPTLaxChMWpLk5S9/eS677LI885nPzJOf/OROWaqpFUoye71e530BBg/A3EnI4XB45MVAbL6qXHyNWPDWiRJMJxlMKYU0wLkfyQhA+/1+O8u/7vSu1JW9aSfnnY+ohtSRhvn1Oj4DuMdQ+X6+p2+u8uJZ3m3t/A7PMRXFERKmsGg1Z8Dz+Iw+MQ9EUbfccku+/OUv55vf/GZ+7/d+71yp5qQ9xG1iFCat0x73uMfliU98Yv75P//nSQ7PJjLQJ6MNXq56MeWUjCgS1+5zDSe32uAAlNyf5mcajPgMo+SEOf2o3vG4g+zGJXJN2ZwpEiGfwWf03Ulk726u77aw8bAB5k+9jw1npW9cJcZ7or2LmTOxHLGZUmKctWSV60yt2WBgxKampvJf/st/ya233jo5ufQCaBOjMGljG4Dycz/3c3nSk56Uxz72sR2wZSdvkg4QAU4+KZQGiBqE2ag0znOmH3zPzmsnXpPu7l3roCmSet9kdAQH37v01RU+Nhz23L2ZKxntHmfc5tod0eDhO2qhIoxnQgcl6fTfhpP/12Ork3SiJs8bc0P/6rlN3Jv7YdB8Tb/fz+23356vfvWrefvb397yP5N2YbSJUZi079ouv/zyPPnJT84TnvCE/M2/+TdbBRDgUiuSqKyxt24v/eBgdMAcVUouyXSSux45kYyqigx6STrA52YgTLrvZeBvPveeAJd3+giNpMujm6KquROu8aY/00uupHIFk3MNRBhQbWfKH9BX5OBSWsu/9tuGDeNXDx4kYvnoRz+aW2+9NV/5yldyyy23nAPtmrTzrU2MwqSddZubm8uJEydy8uTJ/NN/+k/T6/WytLSUhYWFBuy7u7vZ3t5uCVYiBjxx5xQANucVMCj8zjuKSU4nXfqjlsjWYyxqstzf0xcfO87348CZw/UAS4Nw3YdhasjGsfL93n1M0h7PHJrKu5ad+Pb1joy8a9mGwCW9GF+Mwzj67Z577snBwUF+7dd+Lffee2/uueee9r7vSbsw28QoTNr9bv1+Pz/yIz+SJz7xie11oeQZ1tfXs7+/3zmhFK/VXrh5d+ioZHQ+0rFjxzqnc3qDmZO7Bjj65ojBHrnPMuJvn9Pk6CMZlbSSLPeGOINu5eJpNhoYSI6usFEkKY1h8hlIu7u77b3cvB/DkZSfU0tfbYSINCxnnmkj8o1vfCM333xzfuM3fuNI5DVpF3abGIVJe8DtMY95TC666KJMT0/nB37gB/LUpz41e3t72dzc7NBM47zyhYWFJGkUhZO2fq+vPXjO96m0Sd0PYfrG5aN42RiHZJR/cKWTdzADzN6xixGzV+/nudSUe9Sohn4wbievyTNAH1Wwp08YW5e5AvQ+4oNohDeg8T3P/PKXv5yrr746SfLNb34zf/mXf3muVWXSHgFtYhQm7Zw2wPtv/I2/kec85znp9/u5+OKLGyeOh42uVDDnUDs8YiePnQydnp7O/Px8O8yvVuFwvcE0OUzAUlKKxw/nTpmtE9mV8jLQc9S4zwqCWjHNBei6xJP7e80QUdFHZOYTWL3j27kXRznJaGHXa30cxm233Zb19fX8wR/8Qa699tpmZCbt0d0mRmHSHtR2ySWX5JnPfGaGw2H+6l/9q/ne7/3ezM3NdY7WqF63y1RJREOtzM/PN68awzA/P5+FhYUjdIkjBifEvcPYex7g/70Jz/sBAFwfR550z4Hy4Xa1OsglqIyPMScjagyg5zc1R8LnPMefO0fgyCc5XJ833nhjvvzlL2cwGOTaa6/N7bff/qDO/6Q98trEKEzaQ9YWFhZy4sSJ9Hq9PO95z8uzn/3sllzl1ZamOvw2MwB6bm6uHY0NGPszJ18N/EQC3ozm3daORpJRDoKohaocEr9EFH5rG/d2ItfRgCMFJ4X5fy195c14/I5nEP04WQwt5HcREHX90R/9Uf7gD/4gSXLXXXdldXX1IZjtSXuktolRmLSHraEvL3zhC/M93/M9OTg4yOWXX96OinAC2lU3rjpyOSdVUJSgmq7yYW7OT3AfJ4Lr6a79fj87Ozvtvt5strOz06IG35P+AuZEN0QFzk24eR8Gz+dvJ7l5tncxnzp1Kp///Oezv7+fm2++Oddcc02Ss1vkkzZptIlRmLTzql1++eVZWlpKv9/P0tJSXvWqV3U8foCdzziu4dixY1laWuq8TtTHYhjMMRLkI5yA5loS2XzuclNoKm92I5fA5/UU0nrSqf/4e5/6imFLuofqDQaD9irQ3/7t387q6mp6vV7W1tby+c9//qGeskm7wNrEKEzaedt6vV6Wl5ebkj73uc/NM57xjFY5Mzs7m+PHj7f3TA8Gg8zNzbUyVpeIQgPB/dtQ+CgJ5xccYUDv1KiA+7PZy0YDA2Sqp5bO0jea6aJ+v5+77767JYZ3d3dzzTXX5JOf/GT73erq6iQSmLRz2iZGYdIesW15eTk/8AM/kCSNf5+bm8vznve8JGmJaegoc/2OGhYWFtoJsc45kMOob0RzMpvn0OqeBecUer3Riax149vU1FSuueaabGxsdI63+PCHP5zTp08/NAKdtEnLxChM2gXWpqen84QnPKGzF4AKnZe+9KV50pOedOQ9Ai7npCwUr5+IYmVlpfMiIHv0dac0gM9mPh9LcdNNN+WjH/1ouzet1+vl5ptv7mwsm7RJezjaOTUKkzZpkzZpk3bht/53v2TSJm3SJm3SHi1tYhQmbdImbdImrbWJUZi0SZu0SZu01iZGYdImbdImbdJamxiFSZu0SZu0SWttYhQmbdImbdImrbWJUZi0SZu0SZu01iZGYdImbdImbdJamxiFSZu0SZu0SWvt/wOI2glZYIcG2gAAAABJRU5ErkJggg=="},"metadata":{}}]},{"cell_type":"code","source":"\n# HTML \nfrom IPython.display import HTML\nHTML('<img src=\"./myAnimation4.gif\" />')","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:11:08.795621Z","iopub.execute_input":"2024-04-18T05:11:08.796003Z","iopub.status.idle":"2024-04-18T05:11:08.803843Z","shell.execute_reply.started":"2024-04-18T05:11:08.795962Z","shell.execute_reply":"2024-04-18T05:11:08.802636Z"},"trusted":true},"execution_count":16,"outputs":[{"execution_count":16,"output_type":"execute_result","data":{"text/plain":"<IPython.core.display.HTML object>","text/html":"<img src=\"./myAnimation4.gif\" />"},"metadata":{}}]},{"cell_type":"code","source":"#Histogram \n\n# Import SciPy's \"ndimage\" module\nimport scipy.ndimage as ndi \n\n# Create a histogram, binned at each possible value\nhist = ndi.histogram(im, min=-3024, max=1869, bins = 3024+1869)\n\n# Create a cumulative distribution function\ncdf = hist.cumsum() / hist.sum()\n\n# Plot the histogram and CDF\nfig, axes = plt.subplots(2, 1, sharex=True)\naxes[0].plot(hist, label='Histogram')\naxes[1].plot(cdf, label='CDF')\n# format_and_render_plot()\n","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:11:08.805315Z","iopub.execute_input":"2024-04-18T05:11:08.805846Z","iopub.status.idle":"2024-04-18T05:11:09.268919Z","shell.execute_reply.started":"2024-04-18T05:11:08.805814Z","shell.execute_reply":"2024-04-18T05:11:09.267651Z"},"trusted":true},"execution_count":17,"outputs":[{"execution_count":17,"output_type":"execute_result","data":{"text/plain":"[<matplotlib.lines.Line2D at 0x7b7a34ccc880>]"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 2 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAAj4AAAGdCAYAAAASUnlxAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA4+klEQVR4nO3dcXRU1aH3/d9MkpkkJJMQQiYEggERFRGQQGJq1eVjSq7lsbV1rZfH+igLtX2w0VdMK0Jr4drea6zea7GC0mot7X2vBe1TbSsUS4Og1iAaRAEhigSTGhISQjJJgJlkZr9/hEwZiJqQTOYM8/2sdVZmztnnzD5byfyyz97n2IwxRgAAADHAHukKAAAADBeCDwAAiBkEHwAAEDMIPgAAIGYQfAAAQMwg+AAAgJhB8AEAADGD4AMAAGJGfKQrECmBQED19fVKTU2VzWaLdHUAAEA/GGPU3t6unJwc2e0D77+J2eBTX1+v3NzcSFcDAACchbq6Oo0bN27A+8Vs8ElNTZXU03AulyvCtQEAAP3h8XiUm5sb/B4fqJgNPr2Xt1wuF8EHAIAoc7bDVBjcDAAAYgbBBwAAxAyCDwAAiBkEnyHW5Q/ofz/zlv73M2/pmK870tUBAACniNnBzeFijPTG/mZJUnfARLg2AADgVPT4AACAmEHwCSNDhw8AAJZC8BliPP0CAADrIvgAAICYQfAJJy51AQBgKQSfIcaVLgAArIvgAwAAYgbBBwAAxAyCTxgZBvkAAGApBJ8hZmM+OwAAlkXwAQAAMYPgE0bcuRkAAGsh+AwxLnQBAGBdBB8AABAzCD5hxJUuAACsheAzxJjUBQCAdRF8AABAzCD4hJFhWhcAAJZC8Bli3MAQAADrIvgAAICYQfABAAAxg+ATRozwAQDAWgg+AAAgZhB8AABAzCD4hBGz2QEAsBaCTxgwox0AAGsi+AAAgJhB8Akjw7wuAAAsheATBlzpAgDAmgg+AAAgZhB8wokrXQAAWArBJwx4UCkAANZE8AEAADGD4AMAAGIGwSeMGOIDAIC1EHzCgBE+AABYE8EHAADEDIJPGPGQUgAArGVQwefhhx+WzWbTokWLgutOnDih0tJSjRo1SikpKbrxxhvV2NgYsl9tba3mzp2r5ORkZWVl6b777lN3d3dImS1btmjmzJlyOp2aNGmS1qxZc8bnr1q1Snl5eUpMTFRhYaG2b98+mNMZMsxmBwDAms46+Lz99tv6xS9+oWnTpoWsv/fee/XnP/9ZL7zwgrZu3ar6+np985vfDG73+/2aO3eufD6f3nzzTf3mN7/RmjVrtGzZsmCZmpoazZ07V9dcc4127typRYsW6Y477tArr7wSLLNu3TqVlZVp+fLl2rFjh6ZPn66SkhIdPnz4bE8JAACc68xZaG9vNxdccIHZtGmTufrqq80999xjjDGmtbXVJCQkmBdeeCFYdu/evUaSqaysNMYYs2HDBmO3201DQ0OwzFNPPWVcLpfxer3GGGMWL15sLrnkkpDPnDdvnikpKQm+LygoMKWlpcH3fr/f5OTkmPLy8n6dQ1tbm5Fk2traBnby/TDpB+vNefe/bOpbjw35sQEAiGWD/f4+qx6f0tJSzZ07V8XFxSHrq6qq1NXVFbL+oosu0vjx41VZWSlJqqys1KWXXiq32x0sU1JSIo/Hoz179gTLnH7skpKS4DF8Pp+qqqpCytjtdhUXFwfLRJKNeV0AAFhS/EB3WLt2rXbs2KG33377jG0NDQ1yOBxKT08PWe92u9XQ0BAsc2ro6d3eu+3zyng8Hh0/flxHjx6V3+/vs8y+ffv6rLfX65XX6w2+93g8/ThbAABwLhlQj09dXZ3uuece/fd//7cSExPDVaewKC8vV1paWnDJzc0N+2cyqwsAAGsZUPCpqqrS4cOHNXPmTMXHxys+Pl5bt27Vz3/+c8XHx8vtdsvn86m1tTVkv8bGRmVnZ0uSsrOzz5jl1fv+i8q4XC4lJSUpMzNTcXFxfZbpPcbpli5dqra2tuBSV1c3kFMHAADngAEFn2uvvVa7du3Szp07g8usWbN08803B18nJCSooqIiuE91dbVqa2tVVFQkSSoqKtKuXbtCZl9t2rRJLpdLU6ZMCZY59Ri9ZXqP4XA4lJ+fH1ImEAiooqIiWOZ0TqdTLpcrZAkbhvgAAGBJAxrjk5qaqqlTp4asGzFihEaNGhVcf/vtt6usrEwZGRlyuVy6++67VVRUpMsvv1ySNGfOHE2ZMkW33HKLHnnkETU0NOiBBx5QaWmpnE6nJGnhwoVauXKlFi9erNtuu02bN2/W888/r/Xr1wc/t6ysTPPnz9esWbNUUFCgFStWqLOzUwsWLBhUgwAAgHPXgAc3f5Gf/exnstvtuvHGG+X1elVSUqInn3wyuD0uLk4vv/yy7rzzThUVFWnEiBGaP3++fvzjHwfLTJgwQevXr9e9996rxx9/XOPGjdMzzzyjkpKSYJl58+apqalJy5YtU0NDg2bMmKGNGzeeMeA5khjiAwCAtdiMic0huB6PR2lpaWpraxvyy14XPvAXebsD+vuS/6Gx6UlDemwAAGLZYL+/eVYXAACIGQSfMIrRzjQAACyL4BMGPKQUAABrIvgAAICYQfAJI650AQBgLQSfMOAhpQAAWBPBBwAAxAyCDwAAiBkEHwAAEDMIPmHAdHYAAKyJ4AMAAGIGwSeMmM4OAIC1EHzCgCtdAABYE8EHAADEDIJPGBlxrQsAACsh+ISBjWldAABYEsEHAADEDIJPGDGrCwAAayH4hAEXugAAsCaCDwAAiBkEnzDiShcAANZC8AEAADGD4BMODPIBAMCSCD4AACBmEHzCyDCfHQAASyH4hAFXugAAsCaCDwAAiBkEnzDiQhcAANZC8AkDHlIKAIA1EXwAAEDMIPiEEZO6AACwFoIPAACIGQSfMGCIDwAA1kTwCSuudQEAYCUEHwAAEDMIPmHAlS4AAKyJ4AMAAGIGwSeMmM4OAIC1EHzCgDs3AwBgTQQfAAAQMwg+YcSVLgAArIXgEwZc6AIAwJoIPgAAIGYQfMKIWV0AAFjLgIJPeXm5Zs+erdTUVGVlZemGG25QdXV1SJkTJ06otLRUo0aNUkpKim688UY1NjaGlKmtrdXcuXOVnJysrKws3Xffferu7g4ps2XLFs2cOVNOp1OTJk3SmjVrzqjPqlWrlJeXp8TERBUWFmr79u0DOR0AABBjBhR8tm7dqtLSUm3btk2bNm1SV1eX5syZo87OzmCZe++9V3/+85/1wgsvaOvWraqvr9c3v/nN4Ha/36+5c+fK5/PpzTff1G9+8xutWbNGy5YtC5apqanR3Llzdc0112jnzp1atGiR7rjjDr3yyivBMuvWrVNZWZmWL1+uHTt2aPr06SopKdHhw4cH0x5DgtnsAABYlBmEw4cPG0lm69atxhhjWltbTUJCgnnhhReCZfbu3WskmcrKSmOMMRs2bDB2u900NDQEyzz11FPG5XIZr9drjDFm8eLF5pJLLgn5rHnz5pmSkpLg+4KCAlNaWhp87/f7TU5OjikvL+9X3dva2owk09bWNsCz/mL5P/mrOe/+l83eQ0N/bAAAYtlgv78HNcanra1NkpSRkSFJqqqqUldXl4qLi4NlLrroIo0fP16VlZWSpMrKSl166aVyu93BMiUlJfJ4PNqzZ0+wzKnH6C3Tewyfz6eqqqqQMna7XcXFxcEyp/N6vfJ4PCELAACILWcdfAKBgBYtWqQrrrhCU6dOlSQ1NDTI4XAoPT09pKzb7VZDQ0OwzKmhp3d777bPK+PxeHT8+HE1NzfL7/f3Wab3GKcrLy9XWlpacMnNzT27E+8XrnUBAGBFZx18SktLtXv3bq1du3Yo6xM2S5cuVVtbW3Cpq6uLdJUAAMAwiz+bne666y69/PLLeu211zRu3Ljg+uzsbPl8PrW2tob0+jQ2Nio7OztY5vTZV72zvk4tc/pMsMbGRrlcLiUlJSkuLk5xcXF9luk9xumcTqecTufZnO5ZYzo7AADWMqAeH2OM7rrrLr344ovavHmzJkyYELI9Pz9fCQkJqqioCK6rrq5WbW2tioqKJElFRUXatWtXyOyrTZs2yeVyacqUKcEypx6jt0zvMRwOh/Lz80PKBAIBVVRUBMtEErO6AACwpgH1+JSWluq5557TH//4R6WmpgbH06SlpSkpKUlpaWm6/fbbVVZWpoyMDLlcLt19990qKirS5ZdfLkmaM2eOpkyZoltuuUWPPPKIGhoa9MADD6i0tDTYI7Nw4UKtXLlSixcv1m233abNmzfr+eef1/r164N1KSsr0/z58zVr1iwVFBRoxYoV6uzs1IIFC4aqbQAAwLlmIFPA1PPczTOWX//618Eyx48fN9/97nfNyJEjTXJysvnGN75hDh06FHKcgwcPmuuuu84kJSWZzMxM873vfc90dXWFlHn11VfNjBkzjMPhMBMnTgz5jF5PPPGEGT9+vHE4HKagoMBs27at3+cSzunss/5tkznv/pfNnk+Zzg4AwFAa7Pe3zZjYHIni8XiUlpamtrY2uVyuIT12wb//TYfbvdrw/16pKTlDe2wAAGLZYL+/eVYXAACIGQSfMDKKyc40AAAsi+ADAABiBsEnDJjODgCANRF8wig2h40DAGBdBB8AABAzCD5hYOMhpQAAWBLBBwAAxAyCDwAAiBkEnzBgVhcAANZE8AEAADGD4BNGTGcHAMBaCD4AACBmEHzCgCE+AABYE8EnjHhIKQAA1kLwAQAAMYPgEwY25rMDAGBJBJ8wYlYXAADWQvABAAAxg+ADAABiBsEHAADEDIJPGDHEBwAAayH4hAGTugAAsCaCDwAAiBkEnzAyzGcHAMBSCD4AACBmEHzCgDE+AABYE8EnjLjQBQCAtRB8AABAzCD4hIFNXOsCAMCKCD5hxKQuAACsheADAABiBsEnDJjVBQCANRF8AABAzCD4hBWDfAAAsBKCTxhwpQsAAGsi+AAYMJ5DByBaEXzCiO8GnIv+a9snyv+3v+mDek+kqwIAA0bwATAgP3ppt1o6fVr8f9+LdFUAYMAIPmFgYz47YkAgEOkaAMDAEXzCiCtdAABYC8EHAADEDIJPGHChC7GAHk0A0YjgE0bM6gIAwFqiPvisWrVKeXl5SkxMVGFhobZv3x7pKgHAkOvyB3SwuVN7D3m05u81+n3VP/TcW7U62umLdNWAqBIf6QoMxrp161RWVqbVq1ersLBQK1asUElJiaqrq5WVlRW5inGtCzGgw9ulZ9+o0f6mDk3MHKGEOLsmu1M1O2+k4uOi/m+qYRcIGDV4Tuivexr0r3/+QJJUMCFD22taPne/H7y4S0kJcSq95nxdc1GWLslJG47qAlHLZqL4FqyFhYWaPXu2Vq5cKUkKBALKzc3V3XffrSVLlnzuvh6PR2lpaWpra5PL5RrSev2P/9yiA02dWvedy1U4cdSQHhuItLwl6/tVbtzIJD0wd4qy0xKV4oxXijNeAWPkiLcrYIziTt72wR8wio+zyxgjm80Wcldou80mu80mm73n0nFCnE3GSIGTZeLsJ7ef/GPj9N9mp743J0cl9a4zwTLmtPcKLXAW+5rQnUPKdPkD6vB2q9Hj1YGmDu3+1KNNHzToRFdAPn//7hGQmhiv9hPdfW6bkDlCM3LTddXkTLlTE5WWnCBnfJyc8XbFx9lkk032k7k0zmaTzWaTTZL/lP8m/bkjh60/f+F9QZH+fU4/yvTjQF9UYqjOeSjuZjJcdRmutrXbh7Y3YLDf31Hb4+Pz+VRVVaWlS5cG19ntdhUXF6uysvKM8l6vV16vN/je4wn/XWfn/XJb2D8DiLTEBLuunjxa9a0n9NHhdp3o6vny/sfR41r4/1VFuHbRJd7eE+K6/D0xqfhitwLGaO8hj+ZeOkb/MjVbs/IyguU7vN3a9EGDNu9r0p/fq5ck1TR3qqa5Uy+++2lEzgE4lSPerg//7bpIVyNE1Aaf5uZm+f1+ud3ukPVut1v79u07o3x5ebkefPDBYalb4YQMHWjqHJbPAiLl+3Mm644rJyoxIS64ztcd0NOvH9B/VX6i411+jUlL1JFOn050+dXp7ZZRT6+IzfbP3pFTX58rev9ItgXf24Lv7Tabkp1xykp1Km/UCE12p6o7YHTVBZkqmJAxoMuEKc54feOycfrGZeP08/81Q/84elxv7G/W2wdbdKj1hJo6vGo95pOvu6c3qftkoOoOnGMNDgxA1F7qqq+v19ixY/Xmm2+qqKgouH7x4sXaunWr3nrrrZDyffX45ObmhuVSlyQd7fQFu+OBc80IZ3xI4OkvY4yM6en67n1ts0kB0xMK+gpEAWPkP7nSHzCyn9L17g/0XFTyB8znho3e4/W87/tyzmdtt4WU+YxjRtnd2k+9rGhMz2U4m3rauj/n8kVfG1/0m++LfjWaLzjCUPxqHY46fHE7hLcd+3OQwZ5nf6qQMcLRj1L9F7OXujIzMxUXF6fGxsaQ9Y2NjcrOzj6jvNPplNPpHK7qaeQQ/4cGzgW2U8bjnPo6znZqmdDXdtmi9xeVRQUD3Cn/DaSetu7nEYa+UsAwidqpFw6HQ/n5+aqoqAiuCwQCqqioCOkBAgAA6BXVf0iVlZVp/vz5mjVrlgoKCrRixQp1dnZqwYIFka4aAACwoKgOPvPmzVNTU5OWLVumhoYGzZgxQxs3bjxjwDMAAIAUxYObByuc9/EBAADhEbODmwerN+8Nx/18AADA0Oj93j7bfpuYDT7t7e2SpNzc3AjXBAAADFR7e7vS0gb+iJaYvdQVCARUX1+v1NTUIb8HR+89gurq6riMNgxo7+FFew8/2nx40d7Da6DtbYxRe3u7cnJyZLcPfHJ6zPb42O12jRs3Lqyf4XK5+EczjGjv4UV7Dz/afHjR3sNrIO19Nj09vaL2Pj4AAAADRfABAAAxg+ATBk6nU8uXLx/WR2TEMtp7eNHew482H1609/Aa7vaO2cHNAAAg9tDjAwAAYgbBBwAAxAyCDwAAiBkEHwAAEDMIPgAAIGYQfAAAQMwg+AAAgJhB8AEAADGD4AMAAGIGwQcAAMQMgg8AAIgZBB8AABAzCD4AACBmEHwAAEDMIPgAAICYQfABAAAxg+ADAABiBsEHAADEDIIPAACIGQQfAAAQMwg+AAAgZhB8AABAzCD4AACAmEHwAQAAMYPgAwAAYkZ8pCsQKYFAQPX19UpNTZXNZot0dQAAQD8YY9Te3q6cnBzZ7QPvv4nZ4FNfX6/c3NxIVwMAAJyFuro6jRs3bsD7xWzwSU1NldTTcC6XK8K1AQAA/eHxeJSbmxv8Hh+omA0+vZe3XC4XwQcAgChztsNUGNwMAABihiWCz2uvvabrr79eOTk5stlseumll75wny1btmjmzJlyOp2aNGmS1qxZE/Z6AgCA6GaJ4NPZ2anp06dr1apV/SpfU1OjuXPn6pprrtHOnTu1aNEi3XHHHXrllVfCXFMAABDNLDHG57rrrtN1113X7/KrV6/WhAkT9J//+Z+SpIsvvlhvvPGGfvazn6mkpCRc1QQAYMgYYxQwUsAYGSMZmZPrTy938udp280pxwl9r5ACA93PyJy2/wDrcVr9czOSZSWWCD4DVVlZqeLi4pB1JSUlWrRo0Wfu4/V65fV6g+89Hk+4qgcAiABjjHz+gI77/Or0+XXM263jXX4d9/l1ojugE11+nejyy9sVkM8fUFdwMfJ1B9Qd+OfrkG3+gLq6A/IHjLoCRv6T5fwBo+6AUbf/5LaTP7sDJvSnPxAMOP6AOeVnpFss/JzxdlX/W/87NoZDVAafhoYGud3ukHVut1sej0fHjx9XUlLSGfuUl5frwQcfHK4qAgDOgj9g1NLp09FjPnmOd8lzokue491qO94VfN/zurtn2ynvO73d6o6FNBFGvROlbMH3ttPe924PLfhZ2xMTLDGiJkRUBp+zsXTpUpWVlQXf994HAAAQXr7ugI50etXc7lNzh1dNHV4d6eh5HVxObms55jvjUsnZcMTbleyIU3JCnBIT4uRMiFNigl1JCXFyxtvliLcrIc4uR1zPz4R4W+j7k+t638fH2ZRgtyvOblN8nE3xJ18nxNlO/jz1vV1xtt5yNtntNsXZbLLbbLLbpbiT7222nn3ttlMCxgCCx+mzuU8PHf0+Vow9vSAqg092drYaGxtD1jU2NsrlcvXZ2yNJTqdTTqdzOKoHADHDGKMjnT7VtRxTbcuxU34eV2P7CR3p8KnteNeAjmmzSWlJCUpLSpAr8eTPpPhTXifIlRjf8zNYJl4pzgQlO3vCTnyc9XoaYA1RGXyKioq0YcOGkHWbNm1SUVFRhGoEAOc2b7dfnxw5po8Pd2j/4Q593NShj5s6daCpQ50+/xfuH2+3aVSKQ5kpTo1KcSozxaHRKU5lpjiVmerQqBH/fJ2R7CC4IGwsEXw6Ojq0f//+4Puamhrt3LlTGRkZGj9+vJYuXapPP/1Uv/3tbyVJCxcu1MqVK7V48WLddttt2rx5s55//nmtX78+UqcAAOeELn9AHzd1aO8hj/Ydag+GnNqWY585GNdmk7JdicrNSNb4k0tuRpKyXUnKPBl20pISZLfH1iUVWJMlgs8777yja665Jvi+dyzO/PnztWbNGh06dEi1tbXB7RMmTND69et177336vHHH9e4ceP0zDPPMJUdAAaopdOntw+2aHtNi9755Kj2HvLI1x3os2yqM14Ts1I0aXSKzs8aofNHp+j80SOUm5EsZ3zcMNccODs2Y4ZiGFn08Xg8SktLU1tbG8/qAhAzGj0n9FZNi7bXHNH2mhZ92NhxRplUZ7wuGpOqi7JdmuxO0fknw87oVGfMDYSF9Qz2+9sSPT4AgPDZU9+mP71Xr7/uaVRNc+cZ2ye7U1QwIUOz8zI0fVy6zhuVTMDBOYvgAwDnqKpPWvToK9XadqAluM5uk6bkuFQ4YVQw7GSMcESwlsDwIvgAwDnGGKPVWw/o0Vf2KWCkhDibvjLFrf85LUdfviBTrsSESFcRiBiCDwCcY3752gH9dOM+SdI3Z47V9+dcqJz0vu9xBsQagg8AnEO2HTgSDD1Lr7tI/+fq8yNcI8BauEMUAJwjuv0BLfm/7ytgenp6vnPVxEhXCbAcgg8AnCNe2lmvg0eOKWOEQz/++lRmZgF9IPgAwDlizZs1kqRvXzlRKU5GMgB9IfgAwDlg96dt2v2pR444u+bNzo10dQDLIvgAwDng91X/kCTNucTNfXmAz0HwAYAoZ4zR3/Y2SpK+Nj0nwrUBrI3gAwBR7sPGDv3j6HE54u368gWZka4OYGkEHwCIcm9+3CxJunziKCU7GNQMfB6CDwBEue01Pc/iKpyQEeGaANZH8AGAKGaMIfgAA0DwAYAo9nFTp450+uSMt+vScWmRrg5geQQfAIhi7xzs6e2ZkZsuZ3xchGsDWB/BBwCi2AeHPJKk6bnpka0IECUIPgAQxT6o7wk+U8a4IlwTIDoQfAAgSgUCRvsa2iVJFxN8gH4h+ABAlKo7ekwd3m454u2aOHpEpKsDRAWCDwBEqb0nx/dMdqcoIY5f50B/8C8FAKJU7/iei7O5zAX0F8EHAKLUB4d6xvdMySH4AP1F8AGAKNV7qYuBzUD/EXwAIAq1HevSp63HJRF8gIEg+ABAFProcM9lrjFpiUpLSohwbYDoQfABgCh0oKlTkjQpKyXCNQGii6WCz6pVq5SXl6fExEQVFhZq+/btn1t+xYoVuvDCC5WUlKTc3Fzde++9OnHixDDVFgAi5+PmDknSxEzu3wMMhGWCz7p161RWVqbly5drx44dmj59ukpKSnT48OE+yz/33HNasmSJli9frr179+pXv/qV1q1bpx/84AfDXHMAGH4fH+7p8Zk4mh4fYCAsE3wee+wxffvb39aCBQs0ZcoUrV69WsnJyXr22Wf7LP/mm2/qiiuu0Le+9S3l5eVpzpw5uummm76wlwgAzgUHTvb4nE/wAQbEEsHH5/OpqqpKxcXFwXV2u13FxcWqrKzsc58vfelLqqqqCgadAwcOaMOGDfrqV7/aZ3mv1yuPxxOyAEA06vIHVHvkmCTxqApggOIjXQFJam5ult/vl9vtDlnvdru1b9++Pvf51re+pebmZn35y1+WMUbd3d1auHDhZ17qKi8v14MPPjjkdQeA4VbbckzdAaOkhDhluxIjXR0gqliix+dsbNmyRQ899JCefPJJ7dixQ3/4wx+0fv16/eQnP+mz/NKlS9XW1hZc6urqhrnGADA0emd0TRw9Qna7LcK1AaKLJXp8MjMzFRcXp8bGxpD1jY2Nys7O7nOfH/3oR7rlllt0xx13SJIuvfRSdXZ26jvf+Y5++MMfym4PzXROp1NOpzM8JwAAw+jjppMzuhjfAwyYJXp8HA6H8vPzVVFREVwXCARUUVGhoqKiPvc5duzYGeEmLi5OkmSMCV9lASDCDjT1DmxmfA8wUJbo8ZGksrIyzZ8/X7NmzVJBQYFWrFihzs5OLViwQJJ06623auzYsSovL5ckXX/99Xrsscd02WWXqbCwUPv379ePfvQjXX/99cEABADnon9e6qLHBxgoywSfefPmqampScuWLVNDQ4NmzJihjRs3Bgc819bWhvTwPPDAA7LZbHrggQf06aefavTo0br++uv17//+75E6BQAYFsFLXdy8EBgwm4nR60Iej0dpaWlqa2uTy8UD/gBEh5ZOn2b+ZJMk6YMflyjZYZm/X4FhMdjvb0uM8QEA9E/v+J6ctERCD3AWCD4AEEV6x/ecz8NJgbNC8AGAKMLDSYHBIfgAQBTh4aTA4BB8ACCK8HBSYHAIPgAQJXg4KTB4BB8AiBI8nBQYPIIPAEQJHk4KDB7BBwCixEeH2yUxvgcYDIIPAESJDxt6gs+F2akRrgkQvQg+ABAlqht7ZnRNdhN8gLNF8AGAKNDtDwQfTjrZzaUu4GwRfAAgCnzScky+7oASE+zKHZkc6eoAUYvgAwBR4KPGnvE9k92pzOgCBoHgAwBRoLqh5zLXBVmM7wEGg+ADAFHgw8O9M7oY3wMMBsEHAKJA71T2C5jRBQwKwQcALM7XHVBNc89dmy8k+ACDQvABAIurae5Ud8Ao1RmvMWk8owsYDIIPAFhcdWPvZa4U2WzM6AIGg+ADABbXO5WdR1UAg0fwAQCLq+4d2MxUdmDQCD4AYHEfHe65hw89PsDgEXwAwMJOdPl18EjPjC4eTgoMHsEHACxs/+EOGSONTE5QZooj0tUBoh7BBwAs7MNTntHFjC5g8Ag+AGBh+xr+GXwADJ6lgs+qVauUl5enxMREFRYWavv27Z9bvrW1VaWlpRozZoycTqcmT56sDRs2DFNtASD8dv2jTZJ06di0CNcEODfER7oCvdatW6eysjKtXr1ahYWFWrFihUpKSlRdXa2srKwzyvt8Pn3lK19RVlaWfv/732vs2LH65JNPlJ6ePvyVB4AwCASMdn96MviMI/gAQ8Eyweexxx7Tt7/9bS1YsECStHr1aq1fv17PPvuslixZckb5Z599Vi0tLXrzzTeVkJAgScrLyxvOKgNAWB080ql2b7ec8XZdkMVT2YGhYIlLXT6fT1VVVSouLg6us9vtKi4uVmVlZZ/7/OlPf1JRUZFKS0vldrs1depUPfTQQ/L7/cNVbQAIq10ne3um5LgUH2eJX9dA1LNEj09zc7P8fr/cbnfIerfbrX379vW5z4EDB7R582bdfPPN2rBhg/bv36/vfve76urq0vLly88o7/V65fV6g+89Hs/QngQADLHe8T3TGN8DDJmo/RMiEAgoKytLv/zlL5Wfn6958+bphz/8oVavXt1n+fLycqWlpQWX3NzcYa4xAAzM+yd7fKYSfIAhY4ngk5mZqbi4ODU2Noasb2xsVHZ2dp/7jBkzRpMnT1ZcXFxw3cUXX6yGhgb5fL4zyi9dulRtbW3Bpa6ubmhPAgCGUCBgtOdk8Jk2Lj2ylQHOIZYIPg6HQ/n5+aqoqAiuCwQCqqioUFFRUZ/7XHHFFdq/f78CgUBw3YcffqgxY8bI4Tjz7qZOp1MulytkAQCrOtDcqU6fX4kJdp0/ekSkqwOcMywRfCSprKxMTz/9tH7zm99o7969uvPOO9XZ2Rmc5XXrrbdq6dKlwfJ33nmnWlpadM899+jDDz/U+vXr9dBDD6m0tDRSpwAAQ2bXp62SpEty0hjYDAwhSwxulqR58+apqalJy5YtU0NDg2bMmKGNGzcGBzzX1tbKbv/nP/7c3Fy98soruvfeezVt2jSNHTtW99xzj+6///5InQIADJn3uXEhEBY2Y4yJdCUiwePxKC0tTW1tbVz2AmA533jy73q3tlWP/T/T9c2Z4yJdHcAyBvv9Tf8pAFiMrzugPfU9t9yYkZse2coA5xiCDwBYzL4Gj3zdAaUlJWhCJgObgaFE8AEAi9lZ1yqpp7fHZrNFtjLAOYbgAwAWs7O2VRKXuYBwIPgAgMUEe3zGp0e0HsC5iOADABZypMOrA82dkqTL6PEBhhzBBwAs5J1PjkqSJrtTlJ585l3oAQwOwQcALKTqZPCZlZcR4ZoA5yaCDwBYyNsHWyRJs/NGRrgmwLmJ4AMAFnHc59fuk09kn3UePT5AOBB8AMAi3vtHq7r8RtmuRI0bmRTp6gDnJIIPAFjE9pqey1z5eSO5cSEQJgQfALCI1z5skiR9eVJmhGsCnLsIPgBgAW3HurSjtmdG11WTR0e4NsC5i+ADABbw94+bFTDSpKwUjU1nfA8QLgQfALCArdU9l7muprcHCCuCDwBEWCBgtOXDw5K4zAWEG8EHACKsqvaoGj1epTrjdflE7t8DhBPBBwAi7E876yVJX7nELWd8XIRrA5zbCD4AEEHHfN166d1PJUk3zBgb4doA5z6CDwBE0B931qvd263xGcncvwcYBgQfAIiQLn9AT27ZL0m6teg82e3crRkIN4IPAETIb948qLqW4xo1wqFvFY6PdHWAmEDwAYAI2FPfpv/4a7Uk6b6SC5XsiI9wjYDYQPABgGH29sEWzX/2bZ3oCujKCzI1b3ZupKsExAz+xACAMDLGqKnDqwNNnfrocIf+uqdBr3/ULEm6eIxLK2+ayZPYgWFE8AGAs9TlD+hIh09N7V41d3jV1O5V08mfjZ4Tqm87oQNNHWo/0R2yn90m3ThznJZ/7RKlOPk1DAwn/sUBgHoeG9F2vEtHj/l6ls6e163HutRyzKfWk+taOn1q7vTqSIdPbce7+nVsm00aNzJJ549O0WW5I3XDZTk6b9SIMJ8RgL5YKvisWrVKjz76qBoaGjR9+nQ98cQTKigo+ML91q5dq5tuuklf//rX9dJLL4W/ogAsrTfEtBzz6WinTy2dPWGm5WSYaensCTI9P08GnONdMmbgnxVnt2nUCIdGpzqVmdKzuF1OZaU6lZ2WqAmZKTpvVLISE7gjM2AFlgk+69atU1lZmVavXq3CwkKtWLFCJSUlqq6uVlZW1mfud/DgQX3/+9/XlVdeOYy1BRApJ7r8OtDUqdqWTtW3nlCD54QOtZ3QkQ5vT29MR0/I8QfOIsVISnXGa+QIh0YmJyg9uednz/ue1xkjnBqV4tCoEQ5lnFzP/XeA6GEz5mz+xhl6hYWFmj17tlauXClJCgQCys3N1d13360lS5b0uY/f79dVV12l2267Ta+//rpaW1v73ePj8XiUlpamtrY2uVyuoToNAEPAGKOmdq/2N3Xo46ZOHTj58+PDHapvO97vnhlXYnxPOAkGl38GmYyT4WZk8j+3pycnKCGOya6AlQ32+9sSPT4+n09VVVVaunRpcJ3dbldxcbEqKys/c78f//jHysrK0u23367XX3/9cz/D6/XK6/UG33s8nsFXHMCQCASM9jd1aHtNi7YdOKK3alrU1O79zPJpSQnKyxyhsemJGpOWpGxXokan9vbE9PwcmeyQI54QAyCUJYJPc3Oz/H6/3G53yHq32619+/b1uc8bb7yhX/3qV9q5c2e/PqO8vFwPPvjgYKsKYAh0+wPa9Wmb3j7You01R1X1SYuOHgsdKGy3SbkZyTp/dIrOHz1CE0enBF9njHAwBRzAWbFE8Bmo9vZ23XLLLXr66aeVmdm/h/otXbpUZWVlwfcej0e5udw0DBgudS3H9NpHTXrtwya9uf+I2r2hU7wTE+y6LHekCidmqHDCKF02Pp0BwQCGnCWCT2ZmpuLi4tTY2BiyvrGxUdnZ2WeU//jjj3Xw4EFdf/31wXWBQECSFB8fr+rqap1//vkh+zidTjmdzjDUHsBn6fIHtHF3g/6r8hNtP9gSsi0tKUGz80Zqdl6GZk/I0NScNC5NAQg7SwQfh8Oh/Px8VVRU6IYbbpDUE2QqKip01113nVH+oosu0q5du0LWPfDAA2pvb9fjjz9OTw5gAXUtx1T63A69/482ST3TvvPHj9SVF2TqysmjdenYNMUxGwrAMLNE8JGksrIyzZ8/X7NmzVJBQYFWrFihzs5OLViwQJJ06623auzYsSovL1diYqKmTp0asn96eroknbEewPA77Dmhbzz5ppo7vEpLStD8L+XpWwXjlZ2WGOmqAYhxlgk+8+bNU1NTk5YtW6aGhgbNmDFDGzduDA54rq2tld1ONzhgdf6A0b3P71Rzh1cXZKVozW0FGpueFOlqAYAkC93HZ7hxHx8gPH5f9Q99/4X3lJQQpz/f/WVNykqJdJUAnEMG+/1NFwqAIdPtD+iJzR9Jku4pvoDQA8ByCD4Ahsyr1U365MgxZYxw6Nai8yJdHQA4A8EHwJB56d1PJUnfvGyskh2WGUIIAEEEHwBDwnOiS5v29tyL64bLxka4NgDQN4IPgCHx94+a5esOaOLoEbokhwkDAKyJ4ANgSGw7cESSdOWkTJ6jBcCyCD4AhsRbNT2PpLh84qgI1wQAPhvBB8CgtXT6tK+hXZJUMCEjwrUBgM9G8AEwaNtrei5zXehO1agUHgYMwLoIPgAGbduBnstchRPp7QFgbQQfAIPWO7CZ8T0ArI7gA2BQGN8DIJoQfAAMSu/4nsnuFGUyvgeAxRF8AAxK7/geLnMBiAYEHwCDwvgeANGE4APgrB1lfA+AKEPwAXDWeu/WfEEW43sARAeCD4CzxmUuANGG4APgrBF8AEQbgg+As9Lc4WV8D4CoQ/ABcFbe+KhZkjRljEujUxnfAyA6EHwAnJXXPmySJF01eXSEawIA/UfwATBggYDRax/1Bp/MCNcGAPqP4ANgwLYdOKLmDp9cifGadR7jewBED4IPgAH7/Y5/SJL+5/QcOeL5NQIgevAbC8CANLSd0MvvHZIk3ThzXIRrAwADQ/ABMCD//dYn8vkDKpiQoZnj0yNdHQAYEIIPgAGpazkmSSq+OEs2my3CtQGAgYmPdAVOtWrVKj366KNqaGjQ9OnT9cQTT6igoKDPsk8//bR++9vfavfu3ZKk/Px8PfTQQ59Zfrj4A0br3q6LaB2AcOq9aWFaUkKEawIAA2eZ4LNu3TqVlZVp9erVKiws1IoVK1RSUqLq6mplZWWdUX7Lli266aab9KUvfUmJiYn66U9/qjlz5mjPnj0aO3ZsBM6ghz9g9IMXd0Xs84HhkjGCmxYCiD42Y4yJdCUkqbCwULNnz9bKlSslSYFAQLm5ubr77ru1ZMmSL9zf7/dr5MiRWrlypW699dYvLO/xeJSWlqa2tja5XK5B179Xlz+g0v/eMWTHA6zI7UrUD+derMSEuEhXBUCMGez3tyV6fHw+n6qqqrR06dLgOrvdruLiYlVWVvbrGMeOHVNXV5cyMvq+p4jX65XX6w2+93g8g6v0Z0iIs+uXt84Ky7EBAMDgWGJwc3Nzs/x+v9xud8h6t9uthoaGfh3j/vvvV05OjoqLi/vcXl5errS0tOCSm5s76HoDAIDoYongM1gPP/yw1q5dqxdffFGJiYl9llm6dKna2tqCS10dA5ABAIg1lrjUlZmZqbi4ODU2Noasb2xsVHZ29ufu+x//8R96+OGH9be//U3Tpk37zHJOp1NOJ4MxAQCIZZbo8XE4HMrPz1dFRUVwXSAQUEVFhYqKij5zv0ceeUQ/+clPtHHjRs2axbgaAADw+SzR4yNJZWVlmj9/vmbNmqWCggKtWLFCnZ2dWrBggSTp1ltv1dixY1VeXi5J+ulPf6ply5bpueeeU15eXnAsUEpKilJSUr7w83ons4VrkDMAABh6vd/bZz0p3VjIE088YcaPH28cDocpKCgw27ZtC267+uqrzfz584PvzzvvPCPpjGX58uX9+qy6uro+92dhYWFhYWGx/lJXV3dWWcMy9/EZboFAQPX19UpNTR3y2+57PB7l5uaqrq5uSO8RhL7R3sOL9h5+tPnwor2H10Db2xij9vZ25eTkyG4f+Igdy1zqGm52u13jxoX3ydIul4t/NMOI9h5etPfwo82HF+09vAbS3mlpaWf9OZYY3AwAADAcCD4AACBmEHzCwOl0avny5dw3aJjQ3sOL9h5+tPnwor2H13C3d8wObgYAALGHHh8AABAzCD4AACBmEHwAAEDMIPgAAICYQfAJg1WrVikvL0+JiYkqLCzU9u3bI10ly3vttdd0/fXXKycnRzabTS+99FLIdmOMli1bpjFjxigpKUnFxcX66KOPQsq0tLTo5ptvlsvlUnp6um6//XZ1dHSElHn//fd15ZVXKjExUbm5uXrkkUfCfWqWVF5ertmzZys1NVVZWVm64YYbVF1dHVLmxIkTKi0t1ahRo5SSkqIbb7xRjY2NIWVqa2s1d+5cJScnKysrS/fdd5+6u7tDymzZskUzZ86U0+nUpEmTtGbNmnCfnuU89dRTmjZtWvAGbUVFRfrLX/4S3E5bh9fDDz8sm82mRYsWBdfR5kPnX//1X2Wz2UKWiy66KLjdcm19Vg+6wGdau3atcTgc5tlnnzV79uwx3/72t016erppbGyMdNUsbcOGDeaHP/yh+cMf/mAkmRdffDFk+8MPP2zS0tLMSy+9ZN577z3zta99zUyYMMEcP348WOZf/uVfzPTp0822bdvM66+/biZNmmRuuumm4Pa2tjbjdrvNzTffbHbv3m1+97vfmaSkJPOLX/xiuE7TMkpKSsyvf/1rs3v3brNz507z1a9+1YwfP950dHQEyyxcuNDk5uaaiooK884775jLL7/cfOlLXwpu7+7uNlOnTjXFxcXm3XffNRs2bDCZmZlm6dKlwTIHDhwwycnJpqyszHzwwQfmiSeeMHFxcWbjxo3Der6R9qc//cmsX7/efPjhh6a6utr84Ac/MAkJCWb37t3GGNo6nLZv327y8vLMtGnTzD333BNcT5sPneXLl5tLLrnEHDp0KLg0NTUFt1utrQk+Q6ygoMCUlpYG3/v9fpOTk2PKy8sjWKvocnrwCQQCJjs72zz66KPBda2trcbpdJrf/e53xhhjPvjgAyPJvP3228Eyf/nLX4zNZjOffvqpMcaYJ5980owcOdJ4vd5gmfvvv99ceOGFYT4j6zt8+LCRZLZu3WqM6WnfhIQE88ILLwTL7N2710gylZWVxpiesGq3201DQ0OwzFNPPWVcLlewjRcvXmwuueSSkM+aN2+eKSkpCfcpWd7IkSPNM888Q1uHUXt7u7ngggvMpk2bzNVXXx0MPrT50Fq+fLmZPn16n9us2NZc6hpCPp9PVVVVKi4uDq6z2+0qLi5WZWVlBGsW3WpqatTQ0BDSrmlpaSosLAy2a2VlpdLT0zVr1qxgmeLiYtntdr311lvBMldddZUcDkewTElJiaqrq3X06NFhOhtramtrkyRlZGRIkqqqqtTV1RXS5hdddJHGjx8f0uaXXnqp3G53sExJSYk8Ho/27NkTLHPqMXrLxPK/B7/fr7Vr16qzs1NFRUW0dRiVlpZq7ty5Z7QLbT70PvroI+Xk5GjixIm6+eabVVtbK8mabU3wGULNzc3y+/0h//Ekye12q6GhIUK1in69bfd57drQ0KCsrKyQ7fHx8crIyAgp09cxTv2MWBQIBLRo0SJdccUVmjp1qqSe9nA4HEpPTw8pe3qbf1F7flYZj8ej48ePh+N0LGvXrl1KSUmR0+nUwoUL9eKLL2rKlCm0dZisXbtWO3bsUHl5+RnbaPOhVVhYqDVr1mjjxo166qmnVFNToyuvvFLt7e2WbOuYfTo7gB6lpaXavXu33njjjUhX5Zx24YUXaufOnWpra9Pvf/97zZ8/X1u3bo10tc5JdXV1uueee7Rp0yYlJiZGujrnvOuuuy74etq0aSosLNR5552n559/XklJSRGsWd/o8RlCmZmZiouLO2O0emNjo7KzsyNUq+jX23af167Z2dk6fPhwyPbu7m61tLSElOnrGKd+Rqy566679PLLL+vVV1/VuHHjguuzs7Pl8/nU2toaUv70Nv+i9vysMi6Xy5K/EMPJ4XBo0qRJys/PV3l5uaZPn67HH3+ctg6DqqoqHT58WDNnzlR8fLzi4+O1detW/fznP1d8fLzcbjdtHkbp6emaPHmy9u/fb8n/vwk+Q8jhcCg/P18VFRXBdYFAQBUVFSoqKopgzaLbhAkTlJ2dHdKuHo9Hb731VrBdi4qK1NraqqqqqmCZzZs3KxAIqLCwMFjmtddeU1dXV7DMpk2bdOGFF2rkyJHDdDbWYIzRXXfdpRdffFGbN2/WhAkTQrbn5+crISEhpM2rq6tVW1sb0ua7du0KCZybNm2Sy+XSlClTgmVOPUZvGf499Pxu8Hq9tHUYXHvttdq1a5d27twZXGbNmqWbb745+Jo2D5+Ojg59/PHHGjNmjDX//x7wcGh8rrVr1xqn02nWrFljPvjgA/Od73zHpKenh4xWx5na29vNu+++a959910jyTz22GPm3XffNZ988okxpmc6e3p6uvnjH/9o3n//ffP1r3+9z+nsl112mXnrrbfMG2+8YS644IKQ6eytra3G7XabW265xezevdusXbvWJCcnx+R09jvvvNOkpaWZLVu2hExBPXbsWLDMwoULzfjx483mzZvNO++8Y4qKikxRUVFwe+8U1Dlz5pidO3eajRs3mtGjR/c5BfW+++4ze/fuNatWrYrJ6b5LliwxW7duNTU1Neb99983S5YsMTabzfz1r381xtDWw+HUWV3G0OZD6Xvf+57ZsmWLqampMX//+99NcXGxyczMNIcPHzbGWK+tCT5h8MQTT5jx48cbh8NhCgoKzLZt2yJdJct79dVXjaQzlvnz5xtjeqa0/+hHPzJut9s4nU5z7bXXmurq6pBjHDlyxNx0000mJSXFuFwus2DBAtPe3h5S5r333jNf/vKXjdPpNGPHjjUPP/zwcJ2ipfTV1pLMr3/962CZ48ePm+9+97tm5MiRJjk52XzjG98whw4dCjnOwYMHzXXXXWeSkpJMZmam+d73vme6urpCyrz66qtmxowZxuFwmIkTJ4Z8Rqy47bbbzHnnnWccDocZPXq0ufbaa4OhxxjaejicHnxo86Ezb948M2bMGONwOMzYsWPNvHnzzP79+4PbrdbWNmOMGXg/EQAAQPRhjA8AAIgZBB8AABAzCD4AACBmEHwAAEDMIPgAAICYQfABAAAxg+ADAABiBsEHAADEDIIPAACIGQQfAAAQMwg+AAAgZhB8AABAzPj/Ac+InwCghg9QAAAAAElFTkSuQmCC"},"metadata":{}}]},{"cell_type":"markdown","source":"#This code needs to be changed so that the histogram starts from -3024 and ends in 1869","metadata":{}},{"cell_type":"code","source":"#iterate through all patients to get the shapes\npatient_list = os.listdir('/kaggle/input/rsna-2022-cervical-spine-fracture-detection/train_images/')\nvols = []\ni = 1\nfor patient in patient_list:\n    print(\"Running for \", patient, \"[\" , i , ']')\n    volume = imageio.volread(os.path.join(PATH, patient), 'DICOM')\n    #print(\"Meta information of the image:\")\n#     for key, value in volume.meta.items():\n#         vols_meta = f\"{key}: {value}\\n\"\n    \n    #print('\\nShape of image array:', vols[i].shape)\n    vols.append(volume)\n    i = i+1\n    \n","metadata":{"execution":{"iopub.status.busy":"2024-04-18T05:11:09.270365Z","iopub.execute_input":"2024-04-18T05:11:09.270714Z","iopub.status.idle":"2024-04-18T05:11:31.875393Z","shell.execute_reply.started":"2024-04-18T05:11:09.270685Z","shell.execute_reply":"2024-04-18T05:11:31.872666Z"},"trusted":true},"execution_count":18,"outputs":[{"name":"stdout","text":"Running for  1.2.826.0.1.3680043.17625 [ 1 ]\nReading DICOM (examining files): 1/239 files (0.495/239 files (39.7192/239 files (80.3%239/239 files (100.0%)\n  Found 1 correct series.\nReading DICOM (loading data): 51/239  (21.3%120/239  (50.2173/239  (72.4239/239  (100.0%)\nRunning for  1.2.826.0.1.3680043.3850 [ 2 ]\nReading DICOM (examining files): 1/688 files (0.15/688 files (0.714/688 files (2.0%24/688 files (3.5%31/688 files (4.5%41/688 files (6.0%50/688 files (7.3%60/688 files (8.7%69/688 files (10.079/688 files (11.589/688 files (12.997/688 files (14.1105/688 files (15.3%112/688 files (16.3%122/688 files (17.7%131/688 files (19.0%141/688 files (20.5%150/688 files (21.8%158/688 files (23.0%168/688 files (24.4%178/688 files (25.9%187/688 files (27.2%196/688 files (28.5%204/688 files (29.7%212/688 files (30.8%220/688 files (32.0%230/688 files (33.4%239/688 files (34.7%248/688 files (36.0%257/688 files (37.4%267/688 files (38.8%276/688 files (40.1%286/688 files (41.6%295/688 files (42.9%304/688 files (44.2%314/688 files (45.6%325/688 files (47.2%335/688 files (48.7%344/688 files (50.0%353/688 files (51.3%363/688 files (52.8%373/688 files (54.2%383/688 files (55.7%392/688 files (57.0%401/688 files (58.3%411/688 files (59.7%419/688 files (60.9%428/688 files (62.2%437/688 files (63.5%447/688 files (65.0%456/688 files (66.3%465/688 files (67.6%474/688 files (68.9%483/688 files (70.2%493/688 files (71.7%503/688 files (73.1%513/688 files (74.6%522/688 files (75.9%532/688 files (77.3%542/688 files (78.8%552/688 files (80.2%561/688 files (81.5%570/688 files (82.8%580/688 files (84.3%590/688 files (85.8%599/688 files (87.1%608/688 files (88.4%617/688 files (89.7%627/688 files (91.1%636/688 files (92.4%646/688 files (93.9%655/688 files (95.2%665/688 files (96.7%674/688 files (98.0%683/688 files (99.3%688/688 files (100.0%)\n  Found 1 correct series.\nReading DICOM (loading data): 67/688  (9.7134/688  (19.5197/688  (28.6260/688  (37.8320/688  (46.5371/688  (53.9435/688  (63.2489/688  (71.1535/688  (77.8590/688  (85.8644/688  (93.6688/688  (100.0%)\nRunning for  1.2.826.0.1.3680043.2286 [ 3 ]\nReading DICOM (examining files): 1/333 files (0.310/333 files (3.0%18/333 files (5.4%27/333 files (8.1%37/333 files (11.145/333 files (13.553/333 files (15.963/333 files (18.971/333 files (21.380/333 files (24.089/333 files (26.798/333 files (29.4107/333 files (32.1%115/333 files (34.5%124/333 files (37.2%134/333 files (40.2%143/333 files (42.9%153/333 files (45.9%163/333 files (48.9%172/333 files (51.7%181/333 files (54.4%191/333 files (57.4%199/333 files (59.8%207/333 files (62.2%215/333 files (64.6%225/333 files (67.6%232/333 files (69.7%241/333 files (72.4%250/333 files (75.1%259/333 files (77.8%267/333 files (80.2%276/333 files (82.9%283/333 files (85.0%292/333 files (87.7%300/333 files (90.1%309/333 files (92.8%318/333 files (95.5%326/333 files (97.9%333/333 files (100.0333/333 files (100.0%)\n  Found 1 correct series.\nReading DICOM (loading data): 56/333  (16.8%118/333  (35.4174/333  (52.3228/333  (68.5283/333  (85.0333/333  (100.0%)\nRunning for  1.2.826.0.1.3680043.14435 [ 4 ]\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 1/618 files (0.212/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 12/618 files (1.9%24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 24/618 files (3.9%35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 35/618 files (5.7%46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 46/618 files (7.4%57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 57/618 files (9.2%69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.2%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 69/618 files (11.280/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.9%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 80/618 files (12.990/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.6%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 90/618 files (14.699/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 99/618 files (16.0110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 110/618 files (17.8%121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 121/618 files (19.6%131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 131/618 files (21.2%143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 143/618 files (23.1%155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 155/618 files (25.1%168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 168/618 files (27.2%176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 176/618 files (28.5%187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 187/618 files (30.3%199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 199/618 files (32.2%209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 209/618 files (33.8%219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 219/618 files (35.4%228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 228/618 files (36.9%240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 240/618 files (38.8%252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 252/618 files (40.8%263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 263/618 files (42.6%274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 274/618 files (44.3%285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 285/618 files (46.1%294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 294/618 files (47.6%305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 305/618 files (49.4%316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 316/618 files (51.1%326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 326/618 files (52.8%336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 336/618 files (54.4%346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 346/618 files (56.0%356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 356/618 files (57.6%365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 365/618 files (59.1%375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 375/618 files (60.7%385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 385/618 files (62.3%395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 395/618 files (63.9%404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 404/618 files (65.4%414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 414/618 files (67.0%424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 424/618 files (68.6%434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 434/618 files (70.2%442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 442/618 files (71.5%453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 453/618 files (73.3%464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 464/618 files (75.1%475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 475/618 files (76.9%487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 487/618 files (78.8%498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 498/618 files (80.6%508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 508/618 files (82.2%519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 519/618 files (84.0%529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 529/618 files (85.6%539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 539/618 files (87.2%550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 550/618 files (89.0%561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 561/618 files (90.8%571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 571/618 files (92.4%583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 583/618 files (94.3%595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 595/618 files (96.3%606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 606/618 files (98.1%618/618 files (100.0%  The dicom reader can only read files with uncompressed image data - not '1.2.840.10008.1.2.4.70' (JPEG). You can try using dcmtk or gdcm to convert the image.\nReading DICOM (examining files): 618/618 files (100.0618/618 files (100.0%)\n  Found 0 correct series.\n","output_type":"stream"},{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)","Cell \u001b[0;32mIn[18], line 7\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m patient \u001b[38;5;129;01min\u001b[39;00m patient_list:\n\u001b[1;32m      6\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRunning for \u001b[39m\u001b[38;5;124m\"\u001b[39m, patient, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[\u001b[39m\u001b[38;5;124m\"\u001b[39m , i , \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 7\u001b[0m     volume \u001b[38;5;241m=\u001b[39m \u001b[43mimageio\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvolread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43mPATH\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpatient\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mDICOM\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      8\u001b[0m     \u001b[38;5;66;03m#print(\"Meta information of the image:\")\u001b[39;00m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;66;03m#     for key, value in volume.meta.items():\u001b[39;00m\n\u001b[1;32m     10\u001b[0m \u001b[38;5;66;03m#         vols_meta = f\"{key}: {value}\\n\"\u001b[39;00m\n\u001b[1;32m     11\u001b[0m     \n\u001b[1;32m     12\u001b[0m     \u001b[38;5;66;03m#print('\\nShape of image array:', vols[i].shape)\u001b[39;00m\n\u001b[1;32m     13\u001b[0m     vols\u001b[38;5;241m.\u001b[39mappend(volume)\n","File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/imageio/v2.py:523\u001b[0m, in \u001b[0;36mvolread\u001b[0;34m(uri, format, **kwargs)\u001b[0m\n\u001b[1;32m    521\u001b[0m imopen_args[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlegacy_mode\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m    522\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m imopen(uri, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrv\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mimopen_args) \u001b[38;5;28;01mas\u001b[39;00m file:\n\u001b[0;32m--> 523\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfile\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/imageio/core/legacy_plugin_wrapper.py:148\u001b[0m, in \u001b[0;36mLegacyPlugin.read\u001b[0;34m(self, index, **kwargs)\u001b[0m\n\u001b[1;32m    145\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m img\n\u001b[1;32m    147\u001b[0m reader \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlegacy_get_reader(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 148\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mreader\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n","File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/imageio/core/format.py:435\u001b[0m, in \u001b[0;36mFormat.Reader.get_data\u001b[0;34m(self, index, **kwargs)\u001b[0m\n\u001b[1;32m    433\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_BaseReaderWriter_last_index \u001b[38;5;241m=\u001b[39m index\n\u001b[1;32m    434\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 435\u001b[0m     im, meta \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    436\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m    437\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m(index)\n","File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/imageio/plugins/dicom.py:263\u001b[0m, in \u001b[0;36mDicomFormat.Reader._get_data\u001b[0;34m(self, index)\u001b[0m\n\u001b[1;32m    261\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_data\u001b[39m(\u001b[38;5;28mself\u001b[39m, index):\n\u001b[1;32m    262\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 263\u001b[0m         dcm \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mseries\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m    264\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_info \u001b[38;5;241m=\u001b[39m dcm\u001b[38;5;241m.\u001b[39m_info\n\u001b[1;32m    265\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_data \u001b[38;5;241m=\u001b[39m dcm\u001b[38;5;241m.\u001b[39mget_numpy_array()\n","\u001b[0;31mIndexError\u001b[0m: list index out of range"],"ename":"IndexError","evalue":"list index out of range","output_type":"error"}]}]}