567eb21f9cb4ea21d36104c58244805073b9908d,tgen/lexicalize.py,KenLMFormSelect,get_surface_form,#KenLMFormSelect#Any#Any#Any#,108

Before Change

                best_score = score
                best_form_idx = form_idx
        if self._sample:
            probs = np.exp(scores) / np.sum(np.exp(scores))  // softmax
            return np.random.choice(possible_forms, p=probs)
        return possible_forms[best_form_idx]

After Change

            self._lm.BaseScore(state, sentence[idx].encode("utf-8"), state)
        best_form_idx = 0
        best_score = float("-inf")
        scores = []
        for form_idx, possible_form in enumerate(possible_forms):
            possible_form = possible_form.lower().replace(" ", "^").encode("utf-8")
            score = self._lm.BaseScore(state, possible_form, dummy_state)
            scores.append(score)
            if score > best_score:
                best_score = score
                best_form_idx = form_idx
        if self._sample:
            probs = softmax(scores)
            return np.random.choice(possible_forms, p=probs)
        return possible_forms[best_form_idx]

    def load_model(self, model_fname_pattern):

Instances