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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 integrate_converge(self, crit=1e-4, verbose=True):
 """Integrates the model until model states are converging. :param crit: exit criteria for difference of iterated solutions [default: 0.0001] :type crit: float :param bool verbose: information whether total elapsed time should be printed [default: True] :Example: :: Field(11.997968598413685) Total elapsed time is 10.0 years. Field(14.288155406577301) """

        # implemented by m-kreuzer
        for varname, value in self.state.items():
            value_old = copy.deepcopy(value)
            self.integrate_years(1,verbose=False)
            while np.max(np.abs(value_old-value)) > crit :
                value_old = copy.deepcopy(value)
                self.integrate_years(1,verbose=False)
        if verbose == True:
            print("Total elapsed time is %s years."
                  % str(self.time['days_elapsed']/const.days_per_year))