def METHOD_NAME():
    """
    Assert that online lda extracts waited statistics on current document.
    """
    n_components = 2
    lda = preprocessing.LDA(n_components, number_of_documents=60, seed=42)
    statistics_list = []
    for doc in DOC_SET:
        word_list = doc.split(" ")
        lda._update_indexes(word_list=word_list)
        word_indexes = [lda.word_to_index[word] for word in word_list]
        statistics, _ = lda._compute_statistics_components(words_indexes_list=word_indexes)
        statistics_list.append(statistics)
        lda._update_weights(statistics=statistics)
    for index, statistics in enumerate(statistics_list):
        for component in range(n_components):
            assert np.array_equal(
                a1=statistics[component],
                a2=REFERENCE_STATISTICS_TWO_COMPONENTS[index][component],
            )