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	NeuralDependencyParser --> DependencyParser NeuralEntityRecognizer --> EntityRecognizer TokenVectorEncoder --> Tensorizer NeuralLabeller --> MultitaskObjective
		
			
				
	
	
		
			35 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			35 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # coding: utf-8
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| from __future__ import unicode_literals
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| 
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| from ..util import make_tempdir
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| from ...pipeline import DependencyParser
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| from ...pipeline import EntityRecognizer
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| 
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| import pytest
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| 
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| 
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| test_parsers = [DependencyParser, EntityRecognizer]
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| 
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| 
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| @pytest.mark.parametrize('Parser', test_parsers)
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| def test_serialize_parser_roundtrip_bytes(en_vocab, Parser):
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|     parser = Parser(en_vocab)
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|     parser.model, _ = parser.Model(10)
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|     new_parser = Parser(en_vocab)
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|     new_parser.model, _ = new_parser.Model(10)
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|     new_parser = new_parser.from_bytes(parser.to_bytes())
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|     assert new_parser.to_bytes() == parser.to_bytes()
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| 
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| 
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| @pytest.mark.parametrize('Parser', test_parsers)
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| def test_serialize_parser_roundtrip_disk(en_vocab, Parser):
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|     parser = Parser(en_vocab)
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|     parser.model, _ = parser.Model(0)
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|     with make_tempdir() as d:
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|         file_path = d / 'parser'
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|         parser.to_disk(file_path)
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|         parser_d = Parser(en_vocab)
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|         parser_d.model, _ = parser_d.Model(0)
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|         parser_d = parser_d.from_disk(file_path)
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|         assert parser.to_bytes(model=False) == parser_d.to_bytes(model=False)
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