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How to use test_same_size method in Selene

Best Python code snippet using selene_python

test_predicate.py

Source:test_predicate.py

...21# SOFTWARE.22from selene.common.predicate import equals_by_contains_to_list23# noinspection PyPep8Naming24class Test__equals_by_contains_to_list:25    def test_same_size(self):26        expected = ['a']27        actual = ['>a<']28        assert equals_by_contains_to_list(expected)(actual)29        assert not equals_by_contains_to_list(actual)(expected)30    def test_expected_list_is_bigger(self):31        expected = ['a', 'b']32        actual = ['>a<']33        assert not equals_by_contains_to_list(expected)(actual)34    def test_expected_list_is_bigger_and_actual_is_empty(self):35        expected = ['a', 'b']36        actual = []37        assert not equals_by_contains_to_list(expected)(actual)38    def test_expected_list_is_smaller(self):39        expected = ['a']40        actual = ['>a<', '>b<']41        assert not equals_by_contains_to_list(expected)(actual)42    def test_expected_list_is_smaller_and_empty(self):43        expected = []44        actual = ['>a<', '>b<']45        assert not equals_by_contains_to_list(expected)(actual)46from selene.common.predicate import equals_to_list47# noinspection PyPep8Naming48class Test__equals_to_list:49    def test_same_size(self):50        expected = ['a', 'b']51        actual = ['a', 'b']52        assert equals_to_list(expected)(actual)53    def test_same_size_and_empty(self):54        expected = []55        actual = []56        assert equals_to_list(expected)(actual)57    def test_expected_list_is_bigger(self):58        expected = ['a', 'b']59        actual = ['a']60        assert not equals_to_list(expected)(actual)61    def test_expected_list_is_bigger_and_actual_is_empty(self):62        expected = ['a']63        actual = []...

test_dataset.py

Source:test_dataset.py

...14        test_training_labels(dataset)15    if name.lower() == "test":16        test_testing_labels(dataset)17def test_training_labels(dataset):18    test_same_size(dataset.images.shape[0], dataset.num_total_images)19    test_same_size(np.count_nonzero(dataset.augmented != "None"), dataset.num_augmented_images)20    test_label(np.unique(dataset.angles), np.array(const.angles_int))21    test_label(np.unique(dataset.distortions), np.array(["low"]))22    test_label(np.unique(dataset.optotypes), np.array(const.optotypes))23    test_label(np.unique(dataset.sizes), np.array(const.TRAINING_IMAGE_SIZES))24def test_testing_labels(dataset):25    test_same_size(dataset.images.shape[0], dataset.num_total_images)26    test_same_size(dataset.num_augmented_images, 0)27    test_label(np.unique(dataset.angles), np.array(const.angles_int))28    test_label(np.unique(dataset.distortions), np.array(["high", "low"]))29    test_label(np.unique(dataset.optotypes), np.array(const.optotypes))30    test_label(np.unique(dataset.sizes), np.array(["S", "M", "L"]))31def test_same_size(len_array, size):32    assert len_array == size, "Length of array {l} neq Size {s}".format(l=len_array, s=size)33def test_label(dataset_attribute, constant_attribute, size=None):34    assert np.all(dataset_attribute == constant_attribute)35    if size:36        assert np.size(dataset_attribute) == size37def test_random_index(dataset, ax, index=None):38    if index is None:39        index = np.random.randint(0, dataset.images.shape[0])40    ax.axis('off')41    ax.imshow(dataset.images[index]/255)42    ax.set_title("Optotype={o}\nAngle={a}\nSize={s}\nDistortion={d}\nisAugmented={ia}".format(o=dataset.optotypes[index],43                                                                                              a=dataset.angles[index],44                                                                                              s=dataset.sizes[index],45                                                                                              d=dataset.distortions[index],...

test_series.py

Source:test_series.py

...16def test_constant():17    s = ud.Series(4, index=['A', 'B', 'C'])18    assert s.loc['A'] == 419    assert s.loc['C'] == 420def test_same_size():21    with pytest.raises(ValueError):22        ud.Series([1, 2, 3], index=['A', 'B', 'C', 'D'])23    with pytest.raises(ValueError):24        ud.Series([1, 2, 3], index=['A', 'B'])25def test_no_index_passed():26    s = ud.Series([5, 4, 3])27    assert s.loc[0] == 528    assert s.loc[1] == 429def test_index():30    s = ud.Series([5, 4, 3], index=['A', 'B', 'C'])31    assert s.index == ['A', 'B', 'C']32def test_repr():33    s = ud.Series([1, 2, 3], index=['A', 'B', 'C'])34    assert repr(s) == """\...

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