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	* Make serialization methods consistent exclude keyword argument instead of random named keyword arguments and deprecation handling * Update docs and add section on serialization fields
		
			
				
	
	
		
			141 lines
		
	
	
		
			4.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			141 lines
		
	
	
		
			4.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # coding: utf-8
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| from __future__ import unicode_literals
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| 
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| import pytest
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| from spacy.pipeline import Tagger, DependencyParser, EntityRecognizer
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| from spacy.pipeline import Tensorizer, TextCategorizer
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| 
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| from ..util import make_tempdir
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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.fixture
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| def parser(en_vocab):
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|     parser = DependencyParser(en_vocab)
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|     parser.add_label("nsubj")
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|     parser.model, cfg = parser.Model(parser.moves.n_moves)
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|     parser.cfg.update(cfg)
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|     return parser
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| 
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| 
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| @pytest.fixture
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| def blank_parser(en_vocab):
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|     parser = DependencyParser(en_vocab)
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|     return parser
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| 
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| 
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| @pytest.fixture
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| def taggers(en_vocab):
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|     tagger1 = Tagger(en_vocab)
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|     tagger2 = Tagger(en_vocab)
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|     tagger1.model = tagger1.Model(8)
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|     tagger2.model = tagger1.model
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|     return (tagger1, tagger2)
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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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|         parser_bytes = parser.to_bytes(exclude=["model"])
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|         parser_d_bytes = parser_d.to_bytes(exclude=["model"])
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|         assert parser_bytes == parser_d_bytes
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| 
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| 
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| def test_to_from_bytes(parser, blank_parser):
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|     assert parser.model is not True
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|     assert blank_parser.model is True
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|     assert blank_parser.moves.n_moves != parser.moves.n_moves
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|     bytes_data = parser.to_bytes()
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|     blank_parser.from_bytes(bytes_data)
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|     assert blank_parser.model is not True
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|     assert blank_parser.moves.n_moves == parser.moves.n_moves
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| 
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| 
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| @pytest.mark.skip(
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|     reason="This seems to be a dict ordering bug somewhere. Only failing on some platforms."
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| )
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| def test_serialize_tagger_roundtrip_bytes(en_vocab, taggers):
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|     tagger1 = taggers[0]
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|     tagger1_b = tagger1.to_bytes()
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|     tagger1 = tagger1.from_bytes(tagger1_b)
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|     assert tagger1.to_bytes() == tagger1_b
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|     new_tagger1 = Tagger(en_vocab).from_bytes(tagger1_b)
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|     assert new_tagger1.to_bytes() == tagger1_b
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| 
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| 
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| def test_serialize_tagger_roundtrip_disk(en_vocab, taggers):
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|     tagger1, tagger2 = taggers
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|     with make_tempdir() as d:
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|         file_path1 = d / "tagger1"
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|         file_path2 = d / "tagger2"
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|         tagger1.to_disk(file_path1)
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|         tagger2.to_disk(file_path2)
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|         tagger1_d = Tagger(en_vocab).from_disk(file_path1)
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|         tagger2_d = Tagger(en_vocab).from_disk(file_path2)
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|         assert tagger1_d.to_bytes() == tagger2_d.to_bytes()
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| 
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| 
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| def test_serialize_tensorizer_roundtrip_bytes(en_vocab):
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|     tensorizer = Tensorizer(en_vocab)
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|     tensorizer.model = tensorizer.Model()
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|     tensorizer_b = tensorizer.to_bytes()
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|     new_tensorizer = Tensorizer(en_vocab).from_bytes(tensorizer_b)
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|     assert new_tensorizer.to_bytes() == tensorizer_b
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| 
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| 
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| def test_serialize_tensorizer_roundtrip_disk(en_vocab):
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|     tensorizer = Tensorizer(en_vocab)
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|     tensorizer.model = tensorizer.Model()
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|     with make_tempdir() as d:
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|         file_path = d / "tensorizer"
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|         tensorizer.to_disk(file_path)
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|         tensorizer_d = Tensorizer(en_vocab).from_disk(file_path)
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|         assert tensorizer.to_bytes() == tensorizer_d.to_bytes()
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| 
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| 
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| def test_serialize_textcat_empty(en_vocab):
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|     # See issue #1105
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|     textcat = TextCategorizer(en_vocab, labels=["ENTITY", "ACTION", "MODIFIER"])
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|     textcat.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_pipe_exclude(en_vocab, Parser):
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|     def get_new_parser():
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|         new_parser = Parser(en_vocab)
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|         new_parser.model, _ = new_parser.Model(0)
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|         return new_parser
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| 
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|     parser = Parser(en_vocab)
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|     parser.model, _ = parser.Model(0)
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|     parser.cfg["foo"] = "bar"
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|     new_parser = get_new_parser().from_bytes(parser.to_bytes())
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|     assert "foo" in new_parser.cfg
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|     new_parser = get_new_parser().from_bytes(parser.to_bytes(), exclude=["cfg"])
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|     assert "foo" not in new_parser.cfg
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|     new_parser = get_new_parser().from_bytes(parser.to_bytes(exclude=["cfg"]))
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|     assert "foo" not in new_parser.cfg
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|     with pytest.raises(ValueError):
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|         parser.to_bytes(cfg=False)
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|     with pytest.raises(ValueError):
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|         get_new_parser().from_bytes(parser.to_bytes(), cfg=False)
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