def _format(seconds, *divisors) :
    results = []
    seconds = int(seconds)
    for divisor in divisors:
        results.append(seconds // divisor)
        seconds %= divisor
    results.append(seconds)
    return tuple(results)


# Access functions
Compute the log-derivatives w.r.t. the factorized covariance matrix components.
dataset/ETHPy150Open evennia/evennia/evennia/utils/gametime.py/_format--crossover with--dataset/ETHPy150Open pybrain/pybrain/pybrain/optimization/distributionbased/nes.py/OriginalNES._logDerivsFactorSigma