code: def tt_comp(self, sampled_topics):
  
          
  
          samples = sampled_topics.shape[0]
          tt = np.zeros((self.V, self.K, samples))
  
          for s in range(samples):            
              tt[:, :, s] = \
                  samplers_lda.tt_comp(self.tokens, sampled_topics[s, :],
                                       self.N, self.V, self.K, self.beta)
  
          return tt
docs: Compute term-topic matrix from sampled_topics.