def test_lda_default_prior_params():
    # default prior parameter should be `1 / topics`
    # and verbose params should not affect result
    n_topics, X = _build_sparse_mtx()
    prior = n_topics / 1.
    lda_1 = LatentDirichletAllocation(n_topics=n_topics, doc_topic_prior=prior,
                                      topic_word_prior=prior, random_state=0)
    lda_2 = LatentDirichletAllocation(n_topics=n_topics, random_state=0)

    topic_distr_1 = lda_1.fit_transform(X)
    topic_distr_2 = lda_2.fit_transform(X)
    assert_almost_equal(topic_distr_1, topic_distr_2)
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/decomposition/tests/test_online_lda.py/test_lda_default_prior_params/swapped operands of `/`