def validate_constraint_parameters()

in ax/core/parameter_constraint.py [0:0]

• 17 lines of code
• 12 McCabe index (conditional complexity)

def validate_constraint_parameters(parameters: List[Parameter]) -> None:
    """Basic validation of parameters used in a constraint.

    Args:
        parameters: Parameters used in constraint.

    Raises:
        ValueError if the parameters are not valid for use.
    """
    unique_parameter_names = {p.name for p in parameters}
    if len(unique_parameter_names) != len(parameters):
        raise ValueError("Duplicate parameter in constraint.")

    for parameter in parameters:
        if not parameter.is_numeric:
            raise ValueError(
                "Parameter constraints only supported for numeric parameters."
            )

        # Constraints on FixedParameters are non-sensical.
        if isinstance(parameter, FixedParameter):
            raise ValueError("Parameter constraints not supported for FixedParameter.")

        # ChoiceParameters are transformed either using OneHotEncoding
        # or the OrderedChoice transform. Both are non-linear, and
        # Ax models only support linear constraints.
        if isinstance(parameter, ChoiceParameter):
            raise ValueError("Parameter constraints not supported for ChoiceParameter.")

        # Log parameters require a non-linear transformation, and Ax
        # models only support linear constraints.
        if isinstance(parameter, RangeParameter) and parameter.log_scale is True:
            raise ValueError(
                "Parameter constraints not allowed on log scale parameters."
            )