@unittest.skipIf((TEST_ALL != True), 'skipping temporarily')
def test_setter_methods(self):
    self.config.set_net_name('Foobar')
    self.assertEqual(self.config.Training.net_name, 'Foobar')
    with self.assertRaises(AssertionError):
        self.config.set_min_epochs('foo')
    self.config.set_max_epochs(10)
    with self.assertRaises(AssertionError):
        self.config.set_min_epochs('20')
    self.config.set_batch_size(32)
    self.assertEqual(self.config.Training.batch_size, 32)
    with self.assertRaises(AssertionError):
        self.config.set_batch_size((- 20))
    self.assertEqual(self.config.Training.batch_size, 32)
    with self.assertRaises(AssertionError):
        self.config.set_num_folds((- 20))
    with self.assertRaises(AssertionError):
        self.config.set_all_procs_log((- 20))
    self.config.set_all_procs_log(True)
    self.assertTrue(self.config.Parallelism.all_procs_log)
@unittest.skipIf((TEST_ALL != True), 'skipping temporarily')
def test_setter_methods(self):
    self.config.set_net_name('Foobar')
    self.assertEqual(self.config.Training.net_name, 'Foobar')
    with self.assertRaises(AssertionError):
        self.config.set_min_epochs('foo')
    self.config.set_max_epochs(10)
    with self.assertRaises(AssertionError):
        self.config.set_min_epochs('20')
    self.config.set_batch_size(32)
    self.assertEqual(self.config.Training.batch_size, 32)
    with self.assertRaises(AssertionError):
        self.config.set_batch_size((- 20))
    self.assertEqual(self.config.Training.batch_size, 32)
    with self.assertRaises(AssertionError):
        self.config.set_num_folds((- 20))
    with self.assertRaises(AssertionError):
        self.config.set_all_procs_log((- 20))
    self.config.set_all_procs_log(True)
    self.assertTrue(self.config.Parallelism.all_procs_log)