def _executor_map(PoolExecutor, fn, *iterables, **tqdm_kwargs):
    """
    Implementation of `thread_map` and `process_map`.

    Parameters
    ----------
    tqdm_class  : [default: tqdm.auto.tqdm].
    max_workers  : [default: min(32, cpu_count() + 4)].
    chunksize  : [default: 1].
    lock_name  : [default: "":str].
    """
    kwargs = tqdm_kwargs.copy()
    if "total" not in kwargs:
        kwargs["total"] = length_hint(iterables[0])
    tqdm_class = kwargs.pop("tqdm_class", tqdm_auto)
    max_workers = kwargs.pop("max_workers", min(32, cpu_count() + 4))
    chunksize = kwargs.pop("chunksize", 1)
    lock_name = kwargs.pop("lock_name", "")
    with ensure_lock(tqdm_class, lock_name=lock_name) as lk:
        # share lock in case workers are already using `tqdm`
        with PoolExecutor(max_workers=max_workers, initializer=tqdm_class.set_lock,
                          initargs=(lk,)) as ex:
            return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))

    Implementation of `thread_map` and `process_map`.

    Parameters
    ----------
    tqdm_class  : [default: tqdm.auto.tqdm].
    max_workers  : [default: min(32, cpu_count() + 4)].
    chunksize  : [default: 1].
    lock_name  : [default: "":str].
    
lib/tqdm/contrib/concurrent.py