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HCSZarr dataset class should test that the size of each dimension matches in data and in metadata. I was able to write a wrong zarr dataset that would not open with napari-ome-zarr.
with HCSZarr.open(
"hcs_wrong.zarr", mode="a", channel_names=["DAPI", "GFP"]
) as dataset:
for row, col, fov in position_list:
position = dataset.create_position(row, col, fov)
position[0] = np.random.randint(
0, np.iinfo(np.uint16).max, size=(5, 3, 3, 32, 32), dtype=np.uint16
)
HCSZarr dataset class should test that the size of each dimension matches in data and in metadata. I was able to write a wrong zarr dataset that would not open with napari-ome-zarr.
Originally posted by @mattersoflight in #31 (comment)
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