def _W_nj(self):
"""The sample sorted sample weights in all states.
FOR INTERNAL USE ONLY!
"""
m = self.nstates_sampled
logQ_nj = self._f[newaxis, :] - self._u_nj
logNorm_n = logsumexp(logQ_nj[:, :m], 1, self.PIsdiag[newaxis, :])
_W_nj = exp(logQ_nj - logNorm_n[:, newaxis])
return _W_nj
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