Returns a markov blanket for a random variable. In the case
        of Bayesian Networks, the markov blanket is the set of
        node's parents, its children and its children's other parents.

        Returns
        -------
        list(blanket_nodes): List of nodes contained in Markov Blanket

        Parameters
        ----------
        node: string, int or any hashable python object.
              The node whose markov blanket would be returned.

        Examples
        --------
        >>> from pgmpy.base import DAG
        >>> from pgmpy.factors.discrete import TabularCPD
        >>> G = DAG([('x', 'y'), ('z', 'y'), ('y', 'w'), ('y', 'v'), ('u', 'w'),
                               ('s', 'v'), ('w', 't'), ('w', 'm'), ('v', 'n'), ('v', 'q')])
        >>> G.get_markov_blanket('y')
        ['s', 'w', 'x', 'u', 'z', 'v']

def get_markov_blanket(self, node):
        """
        Returns a markov blanket for a random variable. In the case
        of Bayesian Networks, the markov blanket is the set of
        node's parents, its children and its children's other parents.

        Returns
        -------
        list(blanket_nodes): List of nodes contained in Markov Blanket

        Parameters
        ----------
        node: string, int or any hashable python object.
              The node whose markov blanket would be returned.

        Examples
        --------
        >>> from pgmpy.base import DAG
        >>> from pgmpy.factors.discrete import TabularCPD
        >>> G = DAG([('x', 'y'), ('z', 'y'), ('y', 'w'), ('y', 'v'), ('u', 'w'),
                               ('s', 'v'), ('w', 't'), ('w', 'm'), ('v', 'n'), ('v', 'q')])
        >>> G.get_markov_blanket('y')
        ['s', 'w', 'x', 'u', 'z', 'v']
        """
        children = self.get_children(node)
        parents = self.get_parents(node)
        blanket_nodes = children + parents
        for child_node in children:
            blanket_nodes.extend(self.get_parents(child_node))
        blanket_nodes = set(blanket_nodes)
        blanket_nodes.remove(node)
        return list(blanket_nodes)