(cls, d)
return scipy.spatial.distance.squareform(d, checks=False)
Parameters
        ----------
        d : (N * (N - 1) // 2, ) ndarray
            A hollow symmetric square array in condensed form

        Returns
        -------
        D : (N, N) ndarray
            A symmetric square array in redundant form.

        See also
        --------
        scipy.spatial.distance.squareform
Parameters
        ----------
        d : (N * (N - 1) // 2, ) ndarray
            A hollow symmetric square array in condensed form
Parameters ---------- d : ( N * ( N - 1 ) // 2 ) ndarray A hollow symmetric square array in condensed form
def squareform(cls, d):
        """
        Parameters
        ----------
        d : (N * (N - 1) // 2, ) ndarray
            A hollow symmetric square array in condensed form

        Returns
        -------
        D : (N, N) ndarray
            A symmetric square array in redundant form.

        See also
        --------
        scipy.spatial.distance.squareform
        """
        assert d.ndim == 1
        return scipy.spatial.distance.squareform(d, checks=False)
def squareform ( cls , d ) : assert d . ndim == 1 return scipy . spatial . distance . squareform ( d , checks = False )