@unittest.skipIf((TEST_ALL != True), 'skipping temporarily')
def test_arrays(self):
    config = NeuralNetConfig(self.cfg_arr_file)
    arr1 = config.getarray('Training', 'arr1', 'foo')
    expected = ['1', "'foo'", '[10', 'bluebell]']
    self.assertListEqual(arr1, expected)
    arr2 = config.getarray('Training', 'arr2', 'foo')
    self.assertEqual(len(arr2), 10)
    expected = ['BANAG', 'BBFLG', 'BCMMG', 'BHPAG', 'BHTAG', 'BTSAC', 'BTSAS', 'CCROC', 'CCROS', 'CFPAG']
    self.assertListEqual(arr2, expected)
@unittest.skipIf((TEST_ALL != True), 'skipping temporarily')
def test_arrays(self):
    config = NeuralNetConfig(self.cfg_arr_file)
    arr1 = config.getarray('Training', 'arr1', 'foo')
    expected = ['1', "'foo'", '[10', 'bluebell]']
    self.assertListEqual(arr1, expected)
    arr2 = config.getarray('Training', 'arr2', 'foo')
    self.assertEqual(len(arr2), 10)
    expected = ['BANAG', 'BBFLG', 'BCMMG', 'BHPAG', 'BHTAG', 'BTSAC', 'BTSAS', 'CCROC', 'CCROS', 'CFPAG']
    self.assertListEqual(arr2, expected)