How to use test_same_size method in Selene

Best Python code snippet using selene_python

test_predicate.py

Source:test_predicate.py Github

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...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 = []...

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test_dataset.py

Source:test_dataset.py Github

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...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],...

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test_series.py

Source:test_series.py Github

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...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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