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	* Fix test that was failing on travis
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				|  | @ -25,12 +25,14 @@ from thinc.learner import LinearModel | |||
| 
 | ||||
| class TestLoadVocab(unittest.TestCase): | ||||
|     def test_load(self): | ||||
|         if path.exists(path.join(English.default_data_dir(), 'vocab')): | ||||
|             vocab = Vocab.from_dir(path.join(English.default_data_dir(), 'vocab')) | ||||
| 
 | ||||
| 
 | ||||
| class TestLoadTokenizer(unittest.TestCase): | ||||
|     def test_load(self): | ||||
|         data_dir = English.default_data_dir() | ||||
|         if path.exists(path.join(data_dir, 'vocab')): | ||||
|             vocab = Vocab.from_dir(path.join(data_dir, 'vocab')) | ||||
|             tokenizer = Tokenizer.from_dir(vocab, path.join(data_dir, 'tokenizer')) | ||||
| 
 | ||||
|  | @ -38,6 +40,8 @@ class TestLoadTokenizer(unittest.TestCase): | |||
| class TestLoadTagger(unittest.TestCase): | ||||
|     def test_load(self): | ||||
|         data_dir = English.default_data_dir() | ||||
| 
 | ||||
|         if path.exists(path.join(data_dir, 'vocab')): | ||||
|             vocab = Vocab.from_dir(path.join(data_dir, 'vocab')) | ||||
|             tagger = Tagger.from_dir(path.join(data_dir, 'tagger'), vocab) | ||||
| 
 | ||||
|  | @ -45,7 +49,9 @@ class TestLoadTagger(unittest.TestCase): | |||
| class TestLoadParser(unittest.TestCase): | ||||
|     def test_load(self): | ||||
|         data_dir = English.default_data_dir() | ||||
|         if path.exists(path.join(data_dir, 'vocab')): | ||||
|             vocab = Vocab.from_dir(path.join(data_dir, 'vocab')) | ||||
|         if path.exists(path.join(data_dir, 'deps')): | ||||
|             parser = Parser.from_dir(path.join(data_dir, 'deps'), vocab.strings, ArcEager) | ||||
| 
 | ||||
|     def test_load_careful(self): | ||||
|  | @ -67,6 +73,7 @@ class TestLoadParser(unittest.TestCase): | |||
| 
 | ||||
|         # n classes. moves.n_moves above | ||||
|         # n features. len(templates) + 1 above | ||||
|         if path.exists(model_loc): | ||||
|             model = LinearModel(92, 116) | ||||
|             model.load(model_loc) | ||||
| 
 | ||||
|  |  | |||
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