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

    orig_varm_val = adata.varm["o"].copy()
    subset_varm = adata[:, :50]
    assert subset_varm.is_view
    subset_varm.varm["o"] = np.ones((50, 20))
    assert not subset_varm.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
def test_if_likely():
    ib = tvm.tir.ir_builder.create()
    A = ib.pointer("float32", name="A")
    C = ib.pointer("float32", name="C")
    n = te.size_var("n")
    tx = te.thread_axis("threadIdx.x")
    ty = te.thread_axis("threadIdx.y")
    ib.scope_attr(tx, "thread_extent", 32)
    ib.scope_attr(ty, "thread_extent", 32)
    with ib.if_scope(ib.likely(tx * 32 + ty < n)):
        with ib.if_scope(ib.likely(tx * 32 + ty < n)):
            A[tx] = C[tx * 32 + ty]
    body = ib.get()
    mod = tvm.IRModule.from_expr(tvm.tir.PrimFunc([A, C, n], body))
    body = tvm.tir.transform.Simplify()(mod)["main"].body
    assert isinstance(body.body.body, tvm.tir.IfThenElse)
    assert not isinstance(body.body.body.then_case, tvm.tir.IfThenElse)