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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 mean_cl_boot(series, n_samples=1000, confidence_interval=0.95, random_state=None):
 """ Bootstrapped mean with confidence limits """

    return bootstrap_statistics(series, np.mean,
                                n_samples=n_samples,
                                confidence_interval=confidence_interval,
                                random_state=random_state)