'Log of the Multinomial probability mass function.
Parameters
x : array_like
Quantiles, with the last axis of `x` denoting the components.
Each quantile must be a symmetric positive definite matrix.
%(_doc_default_callparams)s
Returns
logpmf : ndarray or scalar
Log of the probability mass function evaluated at `x`
Notes
%(_doc_callparams_note)s'

def logpmf(self, x, n, p):

    (n, p, npcond) = self._process_parameters(n, p)
    (x, xcond) = self._process_quantiles(x, n, p)
    result = self._logpmf(x, n, p)
    xcond_ = (xcond | np.zeros(npcond.shape, dtype=np.bool_))
    result = self._checkresult(result, xcond_, np.NINF)
    npcond_ = (npcond | np.zeros(xcond.shape, dtype=np.bool_))
    return self._checkresult(result, npcond_, np.NAN)
