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			26 lines
		
	
	
		
			767 B
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			26 lines
		
	
	
		
			767 B
		
	
	
	
		
			Python
		
	
	
	
	
	
| '''Test that models with no pretrained vectors can be deserialized correctly
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| after vectors are added.'''
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| from __future__ import unicode_literals
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| import numpy
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| from ...pipeline import Tagger
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| from ...vectors import Vectors
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| from ...vocab import Vocab
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| from ..util import make_tempdir
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| 
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| 
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| def test_issue1727():
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|     data = numpy.ones((3, 300), dtype='f')
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|     keys = [u'I', u'am', u'Matt']
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|     vectors = Vectors(data=data, keys=keys)
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|     tagger = Tagger(Vocab())
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|     tagger.add_label('PRP')
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|     tagger.begin_training()
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| 
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|     assert tagger.cfg.get('pretrained_dims', 0) == 0
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|     tagger.vocab.vectors = vectors
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| 
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|     with make_tempdir() as path:
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|         tagger.to_disk(path)
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|         tagger = Tagger(Vocab()).from_disk(path)
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|         assert tagger.cfg.get('pretrained_dims', 0) == 0
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