def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def _split_horizontal(container):
		r1 = None
		r2 = None
		min_h = int(H_RATIO*container.w)+1
		if container.h < 2*min_h:
			return None
		r1 = Container(container.x,container.y,container.w,randint(min_h, container.h-min_h))
		r2 = Container(container.x,container.y+r1.h,container.w,container.h-r1.h)
		return [r1, r2]