def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def _read_flo(file_name):
    """Read .flo file in Middlebury format"""
    # Code adapted from:
    # http://stackoverflow.com/questions/28013200/reading-middlebury-flow-files-with-python-bytes-array-numpy
    # Everything needs to be in little Endian according to
    # https://vision.middlebury.edu/flow/code/flow-code/README.txt
    with open(file_name, "rb") as f:
        magic = np.fromfile(f, "c", count=4).tobytes()
        if magic != b"PIEH":
            raise ValueError("Magic number incorrect. Invalid .flo file")

        w = int(np.fromfile(f, "<i4", count=1))
        h = int(np.fromfile(f, "<i4", count=1))
        data = np.fromfile(f, "<f4", count=2 * w * h)
        return data.reshape(h, w, 2).transpose(2, 0, 1)