def test_set_subset_varm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_varm_val = adata.varm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.var_names)
        if (adata[:, subset_idx]).shape[1] > 2:
            break
    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.varm["o"].shape[0])), subset.var_names
    )

    assert subset.is_view
    subset.varm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
def test_consumed_capacity_get_unknown_item():
    conn = boto3.client("dynamodb", region_name="us-east-1")
    conn.create_table(
        TableName="test_table",
        KeySchema=[{"AttributeName": "u", "KeyType": "HASH"}],
        AttributeDefinitions=[{"AttributeName": "u", "AttributeType": "S"}],
        BillingMode="PAY_PER_REQUEST",
    )
    response = conn.get_item(
        TableName="test_table",
        Key={"u": {"S": "does_not_exist"}},
        ReturnConsumedCapacity="TOTAL",
    )

    # Should still return ConsumedCapacity, even if it does not return an item
    response.should.have.key("ConsumedCapacity")
    response["ConsumedCapacity"].should.equal(
        {"TableName": "test_table", "CapacityUnits": 0.5}
    )