def test_set_obsm_key(adata):
    init_hash = joblib.hash(adata)

    orig_obsm_val = adata.obsm["o"].copy()
    subset_obsm = adata[:50]
    assert subset_obsm.is_view
    subset_obsm.obsm["o"] = np.ones((50, 20))
    assert not subset_obsm.is_view
    assert np.all(adata.obsm["o"] == orig_obsm_val)

    assert init_hash == joblib.hash(adata)
def cumsum(X):
        """
        Y[i] = sum(X[:i])
        """
        (m,) = X.shape
        s_state = te.placeholder((m + 1,), dtype="int32", name="state")
        s_init = te.compute((1,), lambda _: tvm.tir.const(0, "int32"))
        s_update = te.compute((m + 1,), lambda l: s_state[l - 1] + X[l - 1])
        return tvm.te.scan(s_init, s_update, s_state, inputs=[X], name="cumsum")