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import h5py |
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import numpy as np |
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import os |
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def work(dataset_path, subset_path, subset_selection): |
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with h5py.File(dataset_path, 'r') as f: |
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t_coordinate = np.array(f['t-coordinate'])[:-1] |
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x_coordinate = np.array(f['x-coordinate']) |
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u = subset_selection(np.array(f['tensor'])) |
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print(t_coordinate.shape, x_coordinate.shape, u.shape) |
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with h5py.File(subset_path, 'w') as f: |
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f.create_dataset('t-coordinate', data=t_coordinate) |
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f.create_dataset('tensor', data=u) |
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f.create_dataset('x-coordinate', data=x_coordinate) |
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print(f"Subset data saved successfully at {subset_path}!") |
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if __name__ == '__main__': |
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dataset_dir = '../dataset/1D/Burgers/Train' |
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test_subset_size = 100 |
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dev_subset_size = 50 |
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subset_dir = '../dataset/CodePDE/Burgers' |
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if not os.path.exists(subset_dir): |
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print(f"Creating: {subset_dir}") |
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os.makedirs(subset_dir) |
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else: |
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print(f"Exist: {subset_dir}") |
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for item in os.listdir(dataset_dir): |
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full_path = os.path.join(dataset_dir, item) |
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if os.path.isfile(full_path): |
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print(full_path) |
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subset_path = os.path.join(subset_dir, item) |
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work(full_path, subset_path, lambda x: x[:test_subset_size]) |
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development_subset_path = subset_path.replace('.hdf5', '_development.hdf5') |
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work(full_path, development_subset_path, lambda x: x[-dev_subset_size:]) |
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