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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def fill_and_wait_models(bufsize=EXAMPLES_PER_GENERATION, write_dir=None, threads=8, model_window=100, skip_first_rsync=False):
 """ Fills a ringbuffer with positions from the most recent games, then continually rsync's and updates the buffer until a new model is promoted. Once it detects a new model, iit then dumps its contents for training to immediately begin on the next model. """

    write_dir = write_dir or fsdb.golden_chunk_dir()
    buf = ExampleBuffer(bufsize)
    models = fsdb.get_models()[-model_window:]
    if not skip_first_rsync:
        with timer("Rsync"):
            smart_rsync(models[-1][0] - 6)
    files = tqdm(map(files_for_model, models), total=len(models))
    buf.parallel_fill(list(itertools.chain(*files)), threads=threads)

    print("Filled buffer, watching for new games")
    while fsdb.get_latest_model()[0] == models[-1][0]:
        with timer("Rsync"):
            smart_rsync(models[-1][0] - 2)
        new_files = tqdm(map(files_for_model, models[-2:]), total=len(models))
        buf.update(list(itertools.chain(*new_files)))
        time.sleep(60)
    latest = fsdb.get_latest_model()

    print("New model!", latest[1], "!=", models[-1][1])
    print(buf)
    buf.flush(os.path.join(write_dir, str(latest[0] + 1) + '.tfrecord.zz'))