Python get_increased_values Exemples

Exemple #1

Fichier : test_analyze_morris.py Projet : calvinwhealton/SALib

def test_compute_increased_value_for_ee():
    up = np.array([[[False, True], [True, False]],
                   [[True, False], [False, True]],
                   [[False, True], [False, False]],
                   [[True, False], [False, False]],
                   [[False, False], [True, False]],
                   [[False, False], [True, False]]],
                  dtype=bool)

    lo = np.array([[[False, False], [False, False]],
                   [[False, False], [False, False]],
                   [[False, False], [True, False]],
                   [[False, False], [False, True]],
                   [[False, True], [False, False]],
                   [[False, True], [False, False]]],
                  dtype=bool)

    model_outputs = np.array([0.97, 0.71, 2.39, 0.97, 2.3, 2.39, 1.87, 2.40, 0.87, 2.15, 1.71, 1.54, 2.15, 2.17, 1.54, 2.2, 1.87, 1.0],
                             dtype=np.float)
    op_vec = model_outputs.reshape(6, 3)
    actual = get_increased_values(op_vec, up, lo)
    desired = np.array([[2.39, 2.3, 2.4, 1.71, 1.54, 1.0],
                        [0.71, 2.39, 2.40, 1.71, 2.15, 2.20]],
                       dtype=np.float)
    assert_allclose(actual, desired, atol=1e-1)

Exemple #2

Fichier : test_analyze_morris.py Projet : zha/SALib

def test_compute_increased_value_for_ee():
    up = np.array([[[False, True], [True, False]],
                   [[True, False], [False, True]],
                   [[False, True], [False, False]],
                   [[True, False], [False, False]],
                   [[False, False], [True, False]],
                   [[False, False], [True, False]]],
                  dtype=bool)

    lo = np.array([[[False, False], [False, False]],
                   [[False, False], [False, False]],
                   [[False, False], [True, False]],
                   [[False, False], [False, True]],
                   [[False, True], [False, False]],
                   [[False, True], [False, False]]],
                  dtype=bool)

    model_outputs = np.array([0.97, 0.71, 2.39, 0.97, 2.3, 2.39, 1.87, 2.40,
                              0.87, 2.15, 1.71, 1.54, 2.15, 2.17, 1.54, 2.2,
                              1.87, 1.0],
                             dtype=np.float)
    op_vec = model_outputs.reshape(6, 3)
    actual = get_increased_values(op_vec, up, lo)
    desired = np.array([[2.39, 2.3, 2.4, 1.71, 1.54, 1.0],
                        [0.71, 2.39, 2.40, 1.71, 2.15, 2.20]],
                       dtype=np.float)
    assert_allclose(actual, desired, atol=1e-1)