Parameter constraints not working in Loop API [ax-platform version 0.2.1 in pypi]

[eycheu]

Applies to ax-platform version 0.2.1 in pypi.

Parameter constraints not working in Loop API.

Argument parameter_constraints passed via optimize function and subsequently into OptimisationLoop.with_evaluation_function, is not passed into make_experiment function.

Original snippet of managed_loop.py

    @staticmethod
    def with_evaluation_function(
        parameters: List[TParameterRepresentation],
        evaluation_function: TEvaluationFunction,
        experiment_name: Optional[str] = None,
        objective_name: Optional[str] = None,
        minimize: bool = False,
        parameter_constraints: Optional[List[str]] = None,
        outcome_constraints: Optional[List[str]] = None,
        total_trials: int = 20,
        arms_per_trial: int = 1,
        wait_time: int = 0,
        random_seed: Optional[int] = None,
        generation_strategy: Optional[GenerationStrategy] = None,
    ) -> "OptimizationLoop":
        """Constructs a synchronous `OptimizationLoop` using an evaluation
        function."""
        experiment = make_experiment(
            name=experiment_name,
            parameters=parameters,
            objective_name=objective_name,
            minimize=minimize,
            outcome_constraints=outcome_constraints,
        )
        return OptimizationLoop(
            experiment=experiment,
            total_trials=total_trials,
            arms_per_trial=arms_per_trial,
            random_seed=random_seed,
            wait_time=wait_time,
            generation_strategy=generation_strategy,
            evaluation_function=evaluation_function,
        )```

[lena-kashtelyan]

Thank you for reporting this, @eycheu! Let me merge this into #605.