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"""Example script to unpack one shard of the 1xGPT Compression Challenge Test dataset."""
import pathlib
import numpy as np
dir_path = pathlib.Path("test_v2.0")
rank = 0
maps = [
("videos", "video", np.int32, [3, 32, 32]),
("robot_states", "states", np.float32,[64, 25]),
]
for sub_dir, name, dtype, shape_tail in maps:
fn = dir_path / sub_dir / f"{name}_{rank}.bin"
print(f"Reading {fn} shape={shape_tail} dtype={dtype.__name__}")
arr_size = np.prod(shape_tail)
arr_bytes = arr_size * np.dtype(dtype).itemsize
on_disk = fn.stat().st_size if fn.exists() else -1
if on_disk != arr_bytes:
print(f" mismatch => on_disk={on_disk}, need={arr_bytes}")
if on_disk < 0:
continue
arr = np.memmap(fn, dtype=dtype, mode="r", shape=tuple(shape_tail))
print(f" shape={arr.shape}, first row:", arr[0])
print()
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