(self)
return m
Gets the precedence matrix. This is used for computing the
        distance between two permutations.

        Examples
        ========

        >>> from sympy.combinatorics.permutations import Permutation
        >>> p = Permutation.josephus(3,6,1)
        >>> p
        Permutation([2, 5, 3, 1, 4, 0])
        >>> p.get_precedence_matrix()
        Matrix([
        [0, 0, 0, 0, 0, 0],
        [1, 0, 0, 0, 1, 0],
        [1, 1, 0, 1, 1, 1],
        [1, 1, 0, 0, 1, 0],
        [1, 0, 0, 0, 0, 0],
        [1, 1, 0, 1, 1, 0]])

        See Also
        ========

        get_precedence_distance, get_adjacency_matrix, get_adjacency_distance
Gets the precedence matrix. This is used for computing the
        distance between two permutations.
Gets the precedence matrix . This is used for computing the distance between two permutations .
def get_precedence_matrix(self):
        """
        Gets the precedence matrix. This is used for computing the
        distance between two permutations.

        Examples
        ========

        >>> from sympy.combinatorics.permutations import Permutation
        >>> p = Permutation.josephus(3,6,1)
        >>> p
        Permutation([2, 5, 3, 1, 4, 0])
        >>> p.get_precedence_matrix()
        Matrix([
        [0, 0, 0, 0, 0, 0],
        [1, 0, 0, 0, 1, 0],
        [1, 1, 0, 1, 1, 1],
        [1, 1, 0, 0, 1, 0],
        [1, 0, 0, 0, 0, 0],
        [1, 1, 0, 1, 1, 0]])

        See Also
        ========

        get_precedence_distance, get_adjacency_matrix, get_adjacency_distance
        """
        m = zeros(self.size)
        perm = self.array_form
        for i in range(m.rows):
            for j in range(i + 1, m.cols):
                m[perm[i], perm[j]] = 1
        return m
def get_precedence_matrix ( self ) : m = zeros ( self . size ) perm = self . array_form for i in range ( m . rows ) : for j in range ( i + 1 , m . cols ) : m [ perm [ i ] , perm [ j ] ] = 1 return m