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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 silence_errors(f):
 """ This wraps a function and it silences numpy errors that happen during the execution. After the function has exited, it restores the previous state of the warnings. """

    @wraps(f)
    def wrapper(*args, **kwds):
        status = np.seterr(all='ignore')
        result = f(*args, **kwds)
        np.seterr(**status)
        return result
    return wrapper