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 _genSeq(self):
        self.raw_sequence = random.getrandbits(64)
        parts = []
        while self.raw_sequence:
            parts.append(self.raw_sequence & limit)
            self.raw_sequence >>= 32

        self.sequence = struct.pack('<' + 'L'*len(parts), *parts)
        # struct.unpack('<LL', '\xb1l\x1c\xb1\x11"\x10\xf4')
        return 0