def unstructured_args_dict()

in get_training_params.py [0:0]

• 26 lines of code
• 10 McCabe index (conditional complexity)

def unstructured_args_dict(args):
    ua_dict = gen_args_dict(args)

    if args.topk is not None:
        ua_dict["topk"] = args.topk

    if args.warmup_budget is not None:
        ua_dict["warmup_budget"] = args.warmup_budget

    if args.eval_topk_grid is not None:
        if args.method == "lcs_l":
            ua_dict["alpha_grid"] = args.eval_topk_grid
        else:
            ua_dict["eval_param_grid"] = args.eval_topk_grid

    if (
        args.topk_lower_bound is not None
        and args.topk_upper_bound is not None
        and args.eval_topk_grid is not None
    ):
        if args.method == "lcs_l":
            ua_dict["alpha_grid"] = args.eval_topk_grid
        elif args.method == "lcs_p":
            ua_dict["eval_param_grid"] = args.eval_topk_grid

        ua_dict["alpha_sampling"] = [
            args.topk_lower_bound,
            args.topk_upper_bound,
            0.5,
        ]

    return ua_dict