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 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}
    )