Returns the cardinality of the node

        Parameters
        ----------
        node: any hashable python object (optional)
            The node whose cardinality we want. If node is not specified returns a
            dictionary with the given variable as keys and their respective cardinality
            as values.

        Returns
        -------
        int or dict : If node is specified returns the cardinality of the node.
                      If node is not specified returns a dictionary with the given
                      variable as keys and their respective cardinality as values.


        Examples
        --------
        >>> from pgmpy.models import ClusterGraph
        >>> from pgmpy.factors.discrete import DiscreteFactor
        >>> student = ClusterGraph()
        >>> factor = DiscreteFactor(['Alice', 'Bob'], cardinality=[2, 2],
        ...                 values=np.random.rand(4))
        >>> student.add_node(('Alice', 'Bob'))
        >>> student.add_factors(factor)
        >>> student.get_cardinality()
        defaultdict(<class 'int'>, {'Bob': 2, 'Alice': 2})

        >>> student.get_cardinality(node='Alice')
        2

def get_cardinality(self, node=None):
        """
        Returns the cardinality of the node

        Parameters
        ----------
        node: any hashable python object (optional)
            The node whose cardinality we want. If node is not specified returns a
            dictionary with the given variable as keys and their respective cardinality
            as values.

        Returns
        -------
        int or dict : If node is specified returns the cardinality of the node.
                      If node is not specified returns a dictionary with the given
                      variable as keys and their respective cardinality as values.


        Examples
        --------
        >>> from pgmpy.models import ClusterGraph
        >>> from pgmpy.factors.discrete import DiscreteFactor
        >>> student = ClusterGraph()
        >>> factor = DiscreteFactor(['Alice', 'Bob'], cardinality=[2, 2],
        ...                 values=np.random.rand(4))
        >>> student.add_node(('Alice', 'Bob'))
        >>> student.add_factors(factor)
        >>> student.get_cardinality()
        defaultdict(<class 'int'>, {'Bob': 2, 'Alice': 2})

        >>> student.get_cardinality(node='Alice')
        2
        """
        if node:
            for factor in self.factors:
                for variable, cardinality in zip(factor.scope(), factor.cardinality):
                    if node == variable:
                        return cardinality

        else:
            cardinalities = defaultdict(int)
            for factor in self.factors:
                for variable, cardinality in zip(factor.scope(), factor.cardinality):
                    cardinalities[variable] = cardinality
            return cardinalities