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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 add_m_list(self, matrix_sum, m_list):
 """ This adds an m_list to the output_lists and updates the current minimum if the list is full. """

        if self._output_lists is None:
            self._output_lists = [[matrix_sum, m_list]]
        else:
            bisect.insort(self._output_lists, [matrix_sum, m_list])
        if self._algo == EwaldMinimizer.ALGO_BEST_FIRST and \
                        len(self._output_lists) == self._num_to_return:
            self._finished = True
        if len(self._output_lists) > self._num_to_return:
            self._output_lists.pop()
        if len(self._output_lists) == self._num_to_return:
            self._current_minimum = self._output_lists[-1][0]