cbbcea8795e8da754a5b3ffb1a08ef66afd84eef,dask_image/ndmeasure/_utils.py,,_ravel_shape_indices,#Any#Any#Any#,54

Before Change

    the raveled index from that.
    

    dtype = numpy.dtype(dtype)

    indices = _compat._indices(
        dimensions, dtype=dtype, chunks=chunks
    )

    indices = list(indices)
    for i in _pycompat.irange(len(indices)):
        indices[i] *= dtype.type(numpy.prod(indices[i].shape[i + 1:]))
    indices = dask.array.stack(indices).sum(axis=0)

    return indices

After Change

    Gets the raveled indices shaped like input.
    

    indices = sum([
        dask.array.arange(
            0, numpy.prod(dimensions[i:]), numpy.prod(dimensions[i + 1:]),
            dtype=dtype, chunks=c
        )[i * (None,) + (slice(None),) + (len(dimensions) - i - 1) * (None,)]
        for i, c in enumerate(chunks)
    ])

    return indices

Instances