def run_opts()

in torchx/schedulers/ray_scheduler.py [0:0]

• 32 lines of code
• 1 McCabe index (conditional complexity)

    def run_opts(self) -> runopts:
        opts = runopts()
        opts.add(
            "cluster_config_file",
            type_=str,
            required=True,
            help="Use CLUSTER_CONFIG_FILE to access or create the Ray cluster.",
        )
        opts.add(
            "cluster_name",
            type_=str,
            help="Override the configured cluster name.",
        )
        opts.add(
            "copy_scripts",
            type_=bool,
            default=False,
            help="Copy the Python script(s) to the cluster.",
        )
        opts.add(
            "copy_script_dirs",
            type_=bool,
            default=False,
            help="Copy the directories containing the Python scripts to the cluster.",
        )
        opts.add(
            "verbose",
            type_=bool,
            default=False,
            help="Enable verbose output.",
        )
        return opts