ngff.py

# /// script
# requires-python = ">=3.13"
# dependencies = [
#     "ngff-zarr",
#     "numpy",
#     "rich",
# ]
#
# [tool.uv]
# exclude-newer = "2025-03-18T14:10:36.371318-04:00"
# ///


import ngff_zarr as nz
import numpy as np
import rich


def main() -> None:
    source = np.random.randint(
        low=0, high=2**16, size=(2, 300, 300, 300), dtype=np.uint16
    )

    image = nz.to_ngff_image(source, dims=("c", "z", "y", "x"))
    multiscales = nz.to_multiscales(image, scale_factors=2, chunks=(1, 32, 32, 32))
    rich.print(multiscales)
    nz.to_ngff_zarr("data.ome.zarr", multiscales, version="0.5")
    rich.print("done.")


if __name__ == "__main__":
    main()