def testParallel(self):
        if word2vec.FAST_VERSION < 0:  # don't test the plain NumPy version for parallelism (too slow)
            return

        corpus = utils.RepeatCorpus(LeeCorpus(), 10000)

        for workers in [2, 4]:
            model = word2vec.Word2Vec(corpus, workers=workers)
            sims = model.most_similar('israeli')
            # the exact vectors and therefore similarities may differ, due to different thread collisions/randomization
            # so let's test only for top3
            self.assertTrue('palestinian' in [sims[i][0] for i in range(3)])
Get size of local variables in function frame
dataset/ETHPy150Open largelymfs/topical_word_embeddings/TWE-1/gensim/test/test_word2vec.py/TestWord2VecModel.testParallel--crossover with--dataset/ETHPy150Open EiNSTeiN-/idapython/python/idc.py/GetFrameLvarSize