// Assert that expectedValues > mapValues and that
    // mapValues > expectedValues; i.e. that expectedValues == mapValues.
    Collection<?> expectedValues = expected.values();
    Collection<?> mapValues = map.values();
    assertEquals(expectedValues.size(), mapValues.size());
    assertTrue(expectedValues.containsAll(mapValues));
    assertTrue(mapValues.containsAll(expectedValues));
  }

    // Assert that expectedValues > mapValues and that
    // mapValues > expectedValues; i.e. that expectedValues == mapValues.
    Collection<?> expectedValues = expected.values();
    Collection<?> mapValues = map.values();
    assertEquals(expectedValues.size(), mapValues.size());
    assertTrue(expectedValues.containsAll(mapValues));
    assertTrue(mapValues.containsAll(expectedValues));
  }

    // Assert that expectedValues > mapValues and that
    // mapValues > expectedValues; i.e. that expectedValues == mapValues.
    Collection<?> expectedValues = expected.values();
    Collection<?> mapValues = map.values();
    assertEquals(expectedValues.size(), mapValues.size());
    assertTrue(expectedValues.containsAll(mapValues));
    assertTrue(mapValues.containsAll(expectedValues));
  }

	case reflect.Map:
		results = [][]interface{}{make([]interface{}, len(fields))}
		for idx, field := range fields {
			mapValue := reflectValue.MapIndex(reflect.ValueOf(field.DBName))
			if mapValue.IsZero() {
				mapValue = reflectValue.MapIndex(reflect.ValueOf(field.Name))
			}
			results[0][idx] = mapValue.Interface()
		}

		dataResults[utils.ToStringKey(results[0]...)] = []reflect.Value{reflectValue}
	case reflect.Struct:

                    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