fade34bcf643d430f3dd40dc078e4a715422b510,lexos/processors/analyze/topword.py,,_z_test_,#Any#Any#Any#Any#,20

Before Change

    :return: the probability that the particular word in a particular chunk is
             NOT an anomaly
    
    try:
        p = (p1 * n1 + pt * nt) / (n1 + nt)
        standard_error = sqrt(p * (1 - p) * ((1 / n1) + (1 / nt)))
        z_scores = (p1 - pt) / standard_error
        return z_scores
    except ZeroDivisionError:
        return "Insignificant"


def _z_test_word_list_(count_list_i: np.ndarray, count_list_j: np.ndarray,
                       words: np.ndarray) -> dict:
    Processes z-test on all the words of two input word lists.

After Change

    assert nt > 0, SEG_NON_POSITIVE_MESSAGE
    p = (p1 * n1 + pt * nt) / (n1 + nt)
    standard_error = (p * (1 - p) * ((1 / n1) + (1 / nt)))**0.5
    if standard_error == 0:
        return 0
    else:
        return round((p1 - pt) / standard_error, 4)


def _z_test_word_list_(count_list_i: np.ndarray, count_list_j: np.ndarray,
                       words: np.ndarray) -> dict:
    Processes z-test on all the words of two input word lists.

Instances