b4bfb0de9c7237c9d404d5565f6d77c21bec5b48,skimage/morphology/watershed.py,,watershed,#Any#Any#Any#Any#Any#Any#,149

Before Change

    mask = np.pad(mask, pad_width, mode="constant")
    markers = np.pad(markers, pad_width, mode="constant")

    c_image = image.astype(np.float64)
    c_mask = np.ascontiguousarray(mask, dtype=np.int8).ravel()
    c_output = np.array(markers, dtype=np.int32).ravel()

    flat_neighborhood = _compute_neighbors(image, c_connectivity, offset)

    marker_locations = np.flatnonzero(markers).astype(np.int32)
    image_strides = np.array(image.strides, dtype=np.int32) // image.itemsize
    if len(marker_locations) > 0:
        _watershed.watershed(c_image.ravel(),
                             marker_locations, flat_neighborhood,
                             c_mask, image_strides, compactness,
                             c_output)
    c_output = c_output.reshape(c_image.shape)[[slice(1, -1, None)] *
                                               image.ndim]
    try:
        return c_output.astype(markers.dtype)
    except:
        return c_output

After Change

                         mask, image_strides, compactness,
                         output.ravel())

    output = crop(output, pad_width, copy=True)

    return output

Instances