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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 run_list_error_summary(run_list, estimator_list, estimator_names, n_simulate, **kwargs):
 """Wrapper which runs run_list_error_values then applies error_values summary to the resulting dataframe. See the docstrings for those two funcions for more details and for descriptions of parameters and output. """

    true_values = kwargs.pop('true_values', None)
    include_true_values = kwargs.pop('include_true_values', False)
    include_rmse = kwargs.pop('include_rmse', False)
    error_values = run_list_error_values(run_list, estimator_list,
                                         estimator_names, n_simulate, **kwargs)
    return error_values_summary(error_values, true_values=true_values,
                                include_true_values=include_true_values,
                                include_rmse=include_rmse)