b470898504d2a077433a84e12a7c8078b2494760,dask_image/ndmeasure/__init__.py,,center_of_mass,#Any#Any#Any#,21

Before Change

    type_mapping = collections.OrderedDict([
        (("%i" % i), input.dtype) for i in _pycompat.irange(input.ndim)
    ])
    out_dtype = numpy.dtype(list(type_mapping.items()))

    default_1d = numpy.full((1,), numpy.nan, dtype=out_dtype)

    func = functools.partial(
        _utils._center_of_mass, shape=input.shape, dtype=out_dtype
    )
    com_lbl = labeled_comprehension(
        input, labels, index,
        func, out_dtype, default_1d[0], pass_positions=True
    )

    com_lbl = dask.array.stack([com_lbl[k] for k in type_mapping], axis=-1)

    return com_lbl

After Change

    // This only matters if index is some array.
    index = index.T

    out_dtype = numpy.dtype([("com", input.dtype, (input.ndim,))])
    default_1d = numpy.full((1,), numpy.nan, dtype=out_dtype)

    func = functools.partial(
        _utils._center_of_mass, shape=input.shape, dtype=out_dtype

Instances