def _partition_estimators(n_estimators, n_jobs):
    """Private function used to partition estimators between jobs.
    See sklearn/ensemble/base.py for more information.
    """
    # Compute the number of jobs
    n_jobs = min(_get_n_jobs(n_jobs), n_estimators)

    # Partition estimators between jobs
    n_estimators_per_job = (n_estimators // n_jobs) * np.ones(n_jobs,
                                                              dtype=int)
    n_estimators_per_job[:n_estimators % n_jobs] += 1
    starts = np.cumsum(n_estimators_per_job)

    return n_jobs, n_estimators_per_job.tolist(), [0] + starts.tolist()
Private function used to partition estimators between jobs.
    See sklearn/ensemble/base.py for more information.
    
pyod/models/sklearn_base.py