def dist(self, src, tar, qval=<NUM_LIT:2>, alphabet=None):
return self.dist_abs(src, tar, qval, True, alphabet)<EOL>
Return the normalized Manhattan distance between two strings.

        The normalized Manhattan distance is a distance metric in
        :math:`L^1`-space, normalized to [0, 1].

        This is identical to Canberra distance.

        Parameters
        ----------
        src : str
            Source string (or QGrams/Counter objects) for comparison
        tar : str
            Target string (or QGrams/Counter objects) for comparison
        qval : int
            The length of each q-gram; 0 for non-q-gram version
        alphabet : collection or int
            The values or size of the alphabet

        Returns
        -------
        float
            The normalized Manhattan distance

        Examples
        --------
        >>> cmp = Manhattan()
        >>> cmp.dist('cat', 'hat')
        0.5
        >>> round(cmp.dist('Niall', 'Neil'), 12)
        0.636363636364
        >>> round(cmp.dist('Colin', 'Cuilen'), 12)
        0.692307692308
        >>> cmp.dist('ATCG', 'TAGC')
        1.0