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How to use test_basic_functions method in avocado

Best Python code snippet using avocado_python

data_generation_test.py

Source:data_generation_test.py

...3import pandas as pd4from bcselector.variable_selection import DiffVariableSelector, FractionVariableSelector, NoCostVariableSelector5from bcselector.data_generation import MatrixGenerator, DataFrameGenerator6class TestMatrixGenerator(unittest.TestCase):7    def test_basic_functions(self):8        # Given9        n_rows = 100010        n_cols = 1011        seed = 012        # When13        mg = MatrixGenerator()14        X, y, costs = mg.generate(n_rows=n_rows,n_basic_cols=n_cols,seed=seed)15        # Then16        self.assertEqual(X.shape[0],n_rows)17        self.assertEqual(X.shape[1],n_cols)18        self.assertEqual(len(y), n_rows)19        self.assertEqual(len(costs), n_cols)20    def test_seed_repetition(self):21        # Given22        n_rows = 100023        n_cols = 1024        seed = 025        # When26        mg = MatrixGenerator()27        X_1, y_1, costs_1 = mg.generate(n_rows=n_rows,n_basic_cols=n_cols,noise_sigmas = [0.9,0.8,0.3,0.1],seed=seed)28        X_2, y_2, costs_2 = mg.generate(n_rows=n_rows,n_basic_cols=n_cols,noise_sigmas = [0.9,0.8,0.3,0.1],seed=seed)29        X_3, y_3, costs_3 = mg.generate(n_rows=n_rows,n_basic_cols=n_cols,noise_sigmas = [0.9,0.8,0.3,0.1],seed=seed + 1)30        # Then31        self.assertAlmostEqual(X_1.sum(), X_2.sum(), places = 5)32        self.assertNotAlmostEqual(X_1.sum(), X_3.sum(), places = 5)33        self.assertAlmostEqual(y_1.sum(), y_2.sum(), places = 5)34        self.assertNotAlmostEqual(y_1.sum(), y_3.sum(), places = 5)35        assert costs_1 == costs_2 == costs_336class TestDataFrameGenerator(unittest.TestCase):37    def test_basic_functions(self):38        # Given39        n_rows = 100040        n_cols = 1041        seed = 042        # When43        mg = DataFrameGenerator()44        X, y, costs = mg.generate(n_rows=n_rows,n_basic_cols=n_cols,seed=seed)45        # Then46        self.assertEqual(X.shape[0],n_rows)47        self.assertEqual(X.shape[1],n_cols)48        self.assertEqual(len(y), n_rows)49        self.assertEqual(len(costs), n_cols)50    def test_seed_repetition(self):51        # Given...

test_label_binarizer.py

Source:test_label_binarizer.py

...25                [8, 2, 1, 2, 2])]26)27@pytest.mark.parametrize("dtype", [cp.int32, cp.int64])28@pytest.mark.parametrize("sparse_output", [True, False])29def test_basic_functions(labels, dtype, sparse_output):30    fit_labels, xform_labels = labels31    skl_bin = skLB(sparse_output=sparse_output)32    skl_bin.fit(fit_labels)33    fit_labels = cp.asarray(fit_labels, dtype=dtype)34    xform_labels = cp.asarray(xform_labels, dtype=dtype)35    binarizer = LabelBinarizer(sparse_output=sparse_output)36    binarizer.fit(fit_labels)37    assert array_equal(binarizer.classes_.get(),38                       np.unique(fit_labels.get()))39    xformed = binarizer.transform(xform_labels)40    if sparse_output:41        skl_bin_xformed = skl_bin.transform(xform_labels.get())42        if has_scipy():43            import scipy.sparse44        else:45            pytest.skip('Skipping test_basic_functions(sparse_output=True) ' +46                        'because Scipy is missing')47        skl_csr = scipy.sparse.coo_matrix(skl_bin_xformed).tocsr()48        cuml_csr = xformed49        array_equal(skl_csr.data, cuml_csr.data.get())50        # #todo: Support sparse inputs51        # xformed = xformed.todense().astype(dtype)52    assert xformed.shape[1] == binarizer.classes_.shape[0]53    original = binarizer.inverse_transform(xformed)54    assert array_equal(original.get(),...

test.py

Source:test.py

...11]12class GoogleSheetsTest(unittest.TestCase):13    spreadsheet = Spreadsheet()14    manager = SpreadsheetManager(spreadsheet)15    def test_basic_functions(self):16        print('test_basic_functions()')17        print('Creating new spreadsheet...', end=' ')18        self.spreadsheet.create_spreadsheet()19        # print(f'done. (Spreadsheet ID: {self.spreadsheet.spreadsheetId})')20        print('Loading data there...', end=' ')21        self.spreadsheet.update_data(data=easy_test_data, range_name='A1:B2')22        # print('done.')23        print('Getting values...', end=' ')24        self.spreadsheet.get_data_by_range('A1:B2')25        # print('done.')26        print('Clearing values...', end=' ')27        self.spreadsheet.clear_data('A1:B2')28        print('done.')29        print('Deleting spreadsheet...', end=' ')30        self.spreadsheet.delete_spreadsheet(self.spreadsheet.spreadsheetId)...

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