def METHOD_NAME(
    self, configuration: Optional[ExpectationConfiguration] = None
) -> None:
    """
    Validates the configuration for the Expectation.
    For this expectation, `configuraton.kwargs` may contain `min_value` and `max_value` as a number.
    Args:
        configuration: An `ExpectationConfiguration` to validate. If no configuration is provided,
            it will be pulled from the configuration attribute of the Expectation instance.
    Raises:
        InvalidExpectationConfigurationError: The configuration does not contain the values required
            by the Expectation.
    """
    # Setting up a configuration
    super().METHOD_NAME(configuration)
    # Ensuring that a proper value has been provided
    try:
        assert (
            "value" in configuration.kwargs
        ), "An expected column count must be provided"
        assert isinstance(
            configuration.kwargs["value"], (int, dict)
        ), "Provided threshold must be an integer"
        if isinstance(configuration.kwargs["value"], dict):
            assert (
                "$PARAMETER" in configuration.kwargs["value"]
            ), 'Evaluation Parameter dict for value kwarg must have "$PARAMETER" key.'
    except AssertionError as e:
        raise InvalidExpectationConfigurationError(str(e))