| #!/usr/bin/env python3 | |
| """Minimal example: inspect and load slices from the UrbanFlow-oneObstacle-NoTrip HDF5 files. | |
| Usage: | |
| python load_example.py path/to/file.h5 | |
| """ | |
| import sys | |
| import h5py | |
| def inspect(path): | |
| with h5py.File(path, "r") as f: | |
| print(f"File: {path}\n") | |
| def walk(group, prefix=""): | |
| for key in group.keys(): | |
| item = group[key] | |
| if isinstance(item, h5py.Dataset): | |
| print(f"{prefix}{key}: shape={item.shape} dtype={item.dtype}") | |
| else: | |
| print(f"{prefix}{key}/") | |
| walk(item, prefix + " ") | |
| walk(f) | |
| if f.attrs: | |
| print("\nattrs:", dict(f.attrs)) | |
| # Datasets are large (the 3D Train file is ~2.1 TB) -- always slice, | |
| # never f["U"][:], which would try to load the whole array into RAM. | |
| if "U" in f: | |
| print("\nFirst snapshot of U, shape:", f["U"][0].shape) | |
| print("Sample values U[0, 0, :5, :5]:\n", f["U"][0, 0, :5, :5] if f["U"].ndim == 4 else f["U"][0, :5, :5]) | |
| if __name__ == "__main__": | |
| if len(sys.argv) != 2: | |
| print(__doc__) | |
| sys.exit(1) | |
| inspect(sys.argv[1]) | |