def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
def test_error_on_wrong_value_for_consumed_capacity():
    resource = boto3.resource("dynamodb", region_name="ap-northeast-3")
    client = boto3.client("dynamodb", region_name="ap-northeast-3")
    client.create_table(
        TableName="jobs",
        KeySchema=[{"AttributeName": "job_id", "KeyType": "HASH"}],
        AttributeDefinitions=[{"AttributeName": "job_id", "AttributeType": "S"}],
        ProvisionedThroughput={"ReadCapacityUnits": 5, "WriteCapacityUnits": 5},
    )

    table = resource.Table("jobs")
    item = {"job_id": "asdasdasd", "expires_at": "1"}

    # PUT_ITEM
    with pytest.raises(ClientError) as ex:
        table.put_item(Item=item, ReturnConsumedCapacity="Garbage")
    err = ex.value.response["Error"]
    err["Code"].should.equal("ValidationException")
    err["Message"].should.equal(
        "1 validation error detected: Value 'Garbage' at 'returnConsumedCapacity' failed to satisfy constraint: Member must satisfy enum value set: [INDEXES, TOTAL, NONE]"
    )