How to use test_geometric_mean method in avocado

Best Python code snippet using avocado_python

geometric_mean_test.py

Source:geometric_mean_test.py

2# third party imports3import numpy as np4# local imports5from gmprocess.metrics.combination.geometric_mean import Geometric_Mean6def test_geometric_mean():7    trace1 = [1, 2, 3]8    trace2 = [4, 5, 6]9    # Test valid10    target = [np.sqrt((1*4)), np.sqrt((2*5)),11            np.sqrt((3*6))]12    gm_data = Geometric_Mean([[], trace1, trace2]).result[1]13    np.testing.assert_array_equal(gm_data, target)14    # Test invalid\15    failed = False16    try:17        gm_data = Geometric_Mean({'HN1': 1, 'HNZ': 2})18    except:19        failed = True20    assert(failed == True)21    # Test invalid\22    failed = False23    try:24        gm_data = Geometric_Mean({'HN1': 1, 'HNZ': 2, 'HN2': 3, 'HN3': 4})25    except:26        failed = True27    assert(failed == True)28if __name__ == '__main__':...

test_reports.py

Source:test_reports.py

1from lab import reports2def test_geometric_mean():3    for numbers, mean in [([2, 8], 4), ([4, 1, 1 / 32.], 0.5), ([0], 0)]:...

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