mapValues, ok := values.([]map[string]interface{})
			if !ok {
				if v, ok := values.(*[]map[string]interface{}); ok {
					if *v != nil {
						mapValues = *v
					}
				}
			}

			if config.LastInsertIDReversed {
				insertID -= int64(len(mapValues)-1) * schema.DefaultAutoIncrementIncrement
			}

			for _, mapValue := range mapValues {
				if mapValue != nil {

                    if (value instanceof Map) {
                        @SuppressWarnings("unchecked")
                        final Map<String, Object> mapValue = (Map<String, Object>) value;
                        return toLowerHyphen(mapValue);
                    }
                    return e.getValue();
                }));
    }

    /**
     * Sets the user check interval.
     *

*   Calling ops with a python constants or numpy values is now consistent with
    tf.convert_to_tensor behavior. This avoids operations like tf.reshape
    truncating inputs such as from int64 to int32.
*   Adds `tf.sparse.map_values` to apply a function to the `.value`s of
    `SparseTensor` arguments.
*   The Python bitwise operators for `Tensor` (`__and__`, `__or__`, `__xor__`
    and `__invert__` now support non-`bool` arguments and apply the