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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 set_fresh_watermark(game_queue, count_from, window_size, fresh_fraction=0.05, minimum_fresh=20000):
 """Sets the metadata cell used to block until some quantity of games have been played. This sets the 'freshness mark' on the `game_queue`, used to block training until enough new games have been played. The number of fresh games required is the larger of: - The fraction of the total window size - The `minimum_fresh` parameter The number of games required can be indexed from the 'count_from' parameter. Args: game_queue: A GameQueue object, on whose backing table will be modified. count_from: the index of the game to compute the increment from window_size: an integer indicating how many past games are considered fresh_fraction: a float in (0,1] indicating the fraction of games to wait for minimum_fresh: an integer indicating the lower bound on the number of new games. """

    already_played = game_queue.latest_game_number - count_from
    print("== already_played: ", already_played, flush=True)
    if window_size > count_from:  # How to handle the case when the window is not yet 'full'
        game_queue.require_fresh_games(int(minimum_fresh * .9))
    else:
        num_to_play = max(0, math.ceil(window_size * .9 * fresh_fraction) - already_played)
        print("== Num to play: ", num_to_play, flush=True)
        game_queue.require_fresh_games(num_to_play)