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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 check_model(self):
 """ Check the model for various errors. This method checks for the following errors - * Checks if the cardinalities of all the variables are consistent across all the factors. * Factors are defined for all the random variables. Returns ------- check: boolean True if all the checks are passed """

        cardinalities = self.get_cardinality()
        for factor in self.factors:
            for variable, cardinality in zip(factor.scope(), factor.cardinality):
                if cardinalities[variable] != cardinality:
                    raise ValueError(
                        'Cardinality of variable {var} not matching among factors'.format(var=variable))
                if len(self.nodes()) != len(cardinalities):
                    raise ValueError('Factors for all the variables not defined')
            for var1, var2 in itertools.combinations(factor.variables, 2):
                if var2 not in self.neighbors(var1):
                    raise ValueError("DiscreteFactor inconsistent with the model.")
        return True