How to use test_no_overwrite method in green

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tests.py

Source:tests.py Github

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1"""2test.py3This file tests the various necessary util functions.4"""5from .io import *6import contextlib7import pandas as pd8import unittest9@contextlib.contextmanager10def set_env(environ):11 """12 Temporarily set the process environment variables. Taken from https://stackoverflow.com/questions/2059482/python-temporarily-modify-the-current-processs-environment/3433371013 >>> with set_env(PLUGINS_DIR=u'test/plugins'):14 ... "PLUGINS_DIR" in os.environ15 True16 >>> "PLUGINS_DIR" in os.environ17 False18 :type environ: dict[str, unicode]19 :param environ: Environment variables to set20 """21 old_environ = dict(os.environ)22 os.environ.update(environ)23 print(os.environ)24 try:25 yield26 finally:27 os.environ.clear()28 os.environ.update(old_environ)29class IOTests(unittest.TestCase):30 def setUp(self):31 self.toy_df = pd.DataFrame({'col1': [1, 2, 3], 'col2': [2, 4, 6]})32 self.fake_creds = {33 'AWS_ACCESS_KEY_ID': 'nothing',34 'AWS_SECRET_ACCESS_KEY': 'nothing',35 'AWS_DEFAULT_REGION': 'nothing',36 }37 def test_write_file_without_creds(self):38 pass39 def test_write_file_without_name(self):40 with self.assertRaises(AssertionError):41 write_file(self.toy_df, '')42 def test_write_file_scratch(self):43 filename = write_file(self.toy_df, 'test.pq')44 self.assertEqual(45 filename, 's3://toy-applied-ml-pipeline/scratch/test.pq')46 def test_write_file_no_scratch(self):47 filename = write_file(self.toy_df, 'test/test.pq', scratch=False)48 self.assertEqual(49 filename, 's3://toy-applied-ml-pipeline/test/test.pq')50 def test_save_output_without_creds(self):51 pass52 def test_save_output_no_version(self):53 filename = save_output_df(self.toy_df, 'test')54 self.assertIn('s3://toy-applied-ml-pipeline/dev/test/', filename)55 def test_save_output_no_component(self):56 with self.assertRaises(AssertionError):57 save_output_df(self.toy_df, '')58 def test_save_output_with_version(self):59 filename = save_output_df(self.toy_df, 'test',60 version='test', overwrite=True)61 self.assertEqual(62 filename, 's3://toy-applied-ml-pipeline/dev/test/test.pq')63 def test_save_output_no_overwrite(self):64 save_output_df(self.toy_df, 'test',65 version='test_no_overwrite', overwrite=True)66 with self.assertRaises(OSError):67 save_output_df(self.toy_df, 'test', version='test_no_overwrite')68 def test_save_output_overwrite(self):69 filename_1 = save_output_df(self.toy_df, 'test',70 version='test_overwrite', overwrite=True)71 filename_2 = save_output_df(self.toy_df, 'test',72 version='test_overwrite', overwrite=True)73 self.assertEqual(filename_1, filename_2)74if __name__ == '__main__':...

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test_numeric.py

Source:test_numeric.py Github

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...47 z = correlate(self.x, self.y, "full")48 assert_array_almost_equal(z, self.z1)49 z = correlate(self.y, self.x, "full")50 assert_array_almost_equal(z, self.z2)51 def test_no_overwrite(self):52 d = cp.ones(100)53 k = cp.ones(3)54 correlate(d, k)55 assert_array_equal(d, cp.ones(100))56 assert_array_equal(k, cp.ones(3))57 def test_complex(self):58 x = cp.array([1, 2, 3, 4 + 1j], dtype=complex)59 y = cp.array([-1, -2j, 3 + 1j], dtype=complex)60 r_z = cp.array(61 [3 - 1j, 6, 8 + 1j, 11 + 5j, -5 + 8j, -4 - 1j], dtype=complex62 )63 r_z = r_z[::-1].conj()64 z = correlate(y, x, mode="full")65 assert_array_almost_equal(z, r_z)66class TestConvolve(object):67 def test_object(self):68 d = [1.0] * 10069 k = [1.0] * 370 assert_array_almost_equal(convolve(d, k)[2:-2], cp.full(98, 3))71 def test_no_overwrite(self):72 d = cp.ones(100)73 k = cp.ones(3)74 convolve(d, k)75 assert_array_equal(d, cp.ones(100))...

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test_utils.py

Source:test_utils.py Github

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...19 raise AssertionError20 if not os.path.exists('./test_dir/models'):21 raise AssertionError22@pytest.mark.usefixtures('remove_file_structure')23def test_no_overwrite():24 if os.path.realpath(os.curdir).split("\\")[-1] != "test_dir":...

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