{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.11","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":39763,"databundleVersionId":11756775,"sourceType":"competition"}],"dockerImageVersionId":31012,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\n\npath = '/kaggle/input/waveform-inversion/train_samples/FlatVel_A/'\nd1 = np.load(path + 'data/data1.npy', mmap_mode='r')\nm1 = np.load(path + 'model/model1.npy', mmap_mode='r')\nprint(d1.dtype)\nprint(d1.shape)\n\nprint(m1.dtype)\nprint(m1.shape) # !!!\n# It's important to note that the actual shape is not (500, 70, 70), \n# contrary to what's indicated in the comment.","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2025-05-06T07:26:24.629756Z","iopub.execute_input":"2025-05-06T07:26:24.630110Z","iopub.status.idle":"2025-05-06T07:26:24.647739Z","shell.execute_reply.started":"2025-05-06T07:26:24.630086Z","shell.execute_reply":"2025-05-06T07:26:24.646914Z"}},"outputs":[],"execution_count":null}]}