예제 #1
0
    def test_import_control_data(self):
        control_data = np.array(
            [['line', 'subject', 'tier2', 'tier3', 'tier1', 'tmin', 'tmax'],
             ['1', 'CF61WOM_47', 'noise', '?', '{noise}', '0', '1.375'],
             [
                 '2', 'CF61WOM_47', 'clause1_exp-s1', 'exp',
                 '"allora parlaci un poco di te e della tua famiglia?" ',
                 '1.375', '4.046'
             ],
             ['3', 'CF61WOM_47', 'sil_exp', '?', '(.)_exp', '4.046', '4.214'],
             [
                 '4', 'CF61WOM_47', 'clause2_exp-s1', 'exp',
                 '"quanti componenti sono" ', '4.214', '5.469'
             ],
             [
                 '5', 'CF61WOM_47', 'clause3_exp-s1', 'exp', '"e cosa fa"',
                 '5.469', '5.867'
             ], ['6', 'CF61WOM_47', 'ove', '?', '[]', '5.867', '6.137'],
             [
                 '7', 'CF61WOM_47', 'clause1-s1', 'sub', 'quindi', '6.137',
                 '6.633'
             ]])

        imported_control_data, imported_depressed_data, control_duration, depressed_duration = import_data(
        )
        np.testing.assert_array_equal(control_data,
                                      imported_control_data[0][:8])
예제 #2
0
from counts.count_analysis import import_data
from counts.count_analysis import count_feature
from counts.count_analysis import return_chisquare

control_data, depressed_data, control_duration, depressed_duration = import_data()
observed, expected = count_feature('ove', control_data, depressed_data, control_duration, depressed_duration)
chisquare = return_chisquare(observed, expected)

print(chisquare)
예제 #3
0
    def test_import_depressed_data(self):
        depressed_data = np.array(
            [['line', 'subject', 'tier2', 'tier3', 'tier1', 'tmin', 'tmax'],
             ['1', 'PM33ATR_66', 'noise', '?', '{noise}', '0', '1.739'],
             [
                 '2', 'PM33ATR_66', 'clause1_exp-s1', 'exp',
                 '"raccontamo un po\' come"', '1.739', '3.059'
             ], ['3', 'PM33ATR_66', 'len', 'f', ':::e', '3.059', '3.375'],
             ['4', 'PM33ATR_66', 'fil', '?', ':m', '3.375', '4.046'],
             [
                 '5', 'PM33ATR_66', 'clause1_exp-s2', '?',
                 '"hai passato quest\'ultima settimana"', '4.046', '5.727'
             ], ['6', 'PM33ATR_66', 'silV-s', '?', '(.)v', '5.727', '6.659'],
             [
                 '7', 'PM33ATR_66', 'clause1-s1', 'sub',
                 "allora quest ultima settimana l'ho passata", '6.659', '9.187'
             ]])

        imported_control_data, imported_depressed_data, control_duration, depressed_duration = import_data(
        )
        np.testing.assert_array_equal(depressed_data,
                                      imported_depressed_data[0][:8])