b470898504d2a077433a84e12a7c8078b2494760,dask_image/ndmeasure/__init__.py,,minimum_position,#,515

Before Change

    )

    if not min_1dpos_lbl.ndim:
        min_1dpos_lbl = min_1dpos_lbl[None]

    min_pos_lbl = _utils._unravel_index(min_1dpos_lbl, input.shape)

    if index.shape == tuple():

After Change

    if index.shape:
        index = index.flatten()

    out_dtype = numpy.dtype([("pos", int, (input.ndim,))])
    default_1d = numpy.zeros((1,), dtype=out_dtype)

    func = functools.partial(
        _utils._argmin, shape=input.shape, dtype=out_dtype
    )
    min_pos_lbl = labeled_comprehension(
        input, labels, index,
        func, out_dtype, default_1d[0], pass_positions=True
    )
    min_pos_lbl = min_pos_lbl["pos"]

    if index.shape == tuple():
        min_pos_lbl = dask.array.squeeze(min_pos_lbl)

Instances