b7ca885dd1148a94c13e87789d5a5947eaedfc37,dask_image/ndmeasure/__init__.py,,histogram,#Any#Any#Any#Any#Any#Any#,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):
        result[i] = _utils._histogram(
            input[lbl_mtch[i]], min, max, bins
        )
    result = result[()]

    return result

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