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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 _selfConsistentIteration(self, relative_tolerance=1.0e-6, maximum_iterations=1000, verbose=True, print_warning=False):
 """ Determine free energies by self-consistent iteration. OPTIONAL ARGUMENTS relative_tolerance (float between 0 and 1) - relative tolerance for convergence (default 1.0e-5) maximum_iterations (int) - maximum number of self-consistent iterations (default 1000) verbose (boolean) - verbosity level for debug output NOTES Self-consistent iteration of the MBAR equations is used, as described in Appendix C.1 of [1]. """


        # Iteratively update dimensionless free energies until convergence to
        # specified tolerance, or maximum allowed number of iterations has been
        # exceeded.
        if verbose:
            print("MBAR: Computing dimensionless free energies by iteration.  This may take from seconds to minutes, depending on the quantity of data...")
        for iteration in range(0, maximum_iterations):

            if verbose:
                print('Self-consistent iteration %d' % iteration)

            # compute the free energies by self consistent iteration (which
            # also involves calculating the weights)
            (W_nk, f_k_new) = self._computeWeights(
                logform=True, return_f_k=True)

            if self._amIdoneIterating(
                                f_k_new, relative_tolerance, iteration,
                                maximum_iterations, print_warning, verbose):
                break

        return