def __init__()

in src/autotrain/cli/run_vlm.py [0:0]

• 31 lines of code
• 14 McCabe index (conditional complexity)

    def __init__(self, args):
        self.args = args

        store_true_arg_names = [
            "train",
            "deploy",
            "inference",
            "auto_find_batch_size",
            "push_to_hub",
        ]
        for arg_name in store_true_arg_names:
            if getattr(self.args, arg_name) is None:
                setattr(self.args, arg_name, False)

        if self.args.train:
            if self.args.project_name is None:
                raise ValueError("Project name must be specified")
            if self.args.data_path is None:
                raise ValueError("Data path must be specified")
            if self.args.model is None:
                raise ValueError("Model must be specified")
            if self.args.push_to_hub:
                if self.args.username is None:
                    raise ValueError("Username must be specified for push to hub")
        else:
            raise ValueError("Must specify --train, --deploy or --inference")

        if self.args.backend.startswith("spaces") or self.args.backend.startswith("ep-"):
            if not self.args.push_to_hub:
                raise ValueError("Push to hub must be specified for spaces backend")
            if self.args.username is None:
                raise ValueError("Username must be specified for spaces backend")
            if self.args.token is None:
                raise ValueError("Token must be specified for spaces backend")