How to use the b2luigi.batch.processes.JobStatus function in b2luigi

n_done = n_jobs_by_status["Done"]
        # note: "Killed" jobs also get moved to "Failed" after a while
        n_failed = n_jobs_by_status["Failed"]
        n_in_final_state = n_done + n_failed

        # The gbasf2 project is considered as failed if any of the jobs in it failed.
        # However, we first try to reschedule thos jobs and only declare it as failed if the maximum number of retries
        # for reschedulinhas been reached
        if n_failed > 0:
            self._on_failure_action()
            if self.max_retries > 0 and self._reschedule_failed_jobs():
                return JobStatus.running
            return JobStatus.aborted

        if n_in_final_state < n_jobs:
            return JobStatus.running

        # Require all jobs to be done for project success, any job failure results in a failed project
        if n_done == n_jobs:
            # download dataset only the first time that we return JobStatus.successful
            if not self._project_had_been_successful:
                self._on_first_success_action()
                self._project_had_been_successful = True
            return JobStatus.successful

        raise RuntimeError("Could not determine JobStatus")

print(f"Jobs in gbasf2 project \"{self.gbasf2_project_name}\" at {time_string}: {job_status_string}")
        self._n_jobs_by_status = n_jobs_by_status

        n_jobs = len(job_status_dict)
        n_done = n_jobs_by_status["Done"]
        # note: "Killed" jobs also get moved to "Failed" after a while
        n_failed = n_jobs_by_status["Failed"]
        n_in_final_state = n_done + n_failed

        # The gbasf2 project is considered as failed if any of the jobs in it failed.
        # However, we first try to reschedule thos jobs and only declare it as failed if the maximum number of retries
        # for reschedulinhas been reached
        if n_failed > 0:
            self._on_failure_action()
            if self.max_retries > 0 and self._reschedule_failed_jobs():
                return JobStatus.running
            return JobStatus.aborted

        if n_in_final_state < n_jobs:
            return JobStatus.running

        # Require all jobs to be done for project success, any job failure results in a failed project
        if n_done == n_jobs:
            # download dataset only the first time that we return JobStatus.successful
            if not self._project_had_been_successful:
                self._on_first_success_action()
                self._project_had_been_successful = True
            return JobStatus.successful

        raise RuntimeError("Could not determine JobStatus")