b7ca885dd1148a94c13e87789d5a5947eaedfc37,dask_image/ndmeasure/__init__.py,,histogram,#,141

Before Change

    lbl_mtch = _utils._get_label_matches(labels, index)

    index_ranges = [_pycompat.irange(e) for e in index.shape]

    result = numpy.empty(index.shape, dtype=object)
    for i in itertools.product(*index_ranges):

After Change

    max = int(max)
    bins = int(bins)

    func = functools.partial(_utils._histogram, min=min, max=max, bins=bins)
    result = labeled_comprehension(input, labels, index, func, object, None)

    return result

Instances