18b9e7f6f50b2eb9f9bbb2a32783bb2a8c4d25c5,nilearn/input_data/base_masker.py,,filter_and_extract,#,23

Before Change

    if verbose > 0:
        print("[%s] Loading data from %s" % (
            class_name,
            _utils._repr_niimgs(imgs)[:200]))
    imgs = _utils.check_niimg(imgs, atleast_4d=True, ensure_ndim=4,
                              dtype=dtype)

After Change

    if verbose > 0:
        print("[%s] Loading data from %s" % (
            class_name,
            _utils._repr_niimgs(imgs, shorten=False)))
    imgs = _utils.check_niimg(imgs, atleast_4d=True, ensure_ndim=4,
                              dtype=dtype)

Instances