mirror of https://github.com/explosion/spaCy.git
89 lines
2.3 KiB
Python
89 lines
2.3 KiB
Python
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from __future__ import unicode_literals
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import pytest
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from spacy.tokens import Doc
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def equal(doc1, doc2):
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# tokens
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assert [ t.orth for t in doc1 ] == [ t.orth for t in doc2 ]
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# tags
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assert [ t.pos for t in doc1 ] == [ t.pos for t in doc2 ]
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assert [ t.tag for t in doc1 ] == [ t.tag for t in doc2 ]
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# parse
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assert [ t.head.i for t in doc1 ] == [ t.head.i for t in doc2 ]
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assert [ t.dep for t in doc1 ] == [ t.dep for t in doc2 ]
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if doc1.is_parsed and doc2.is_parsed:
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assert [ s for s in doc1.sents ] == [ s for s in doc2.sents ]
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# entities
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assert [ t.ent_type for t in doc1 ] == [ t.ent_type for t in doc2 ]
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assert [ t.ent_iob for t in doc1 ] == [ t.ent_iob for t in doc2 ]
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assert [ ent for ent in doc1.ents ] == [ ent for ent in doc2.ents ]
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@pytest.mark.models
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def test_serialize_tokens(EN):
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doc1 = EN(u'This is a test sentence.',tag=False,parse=False,entity=False)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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@pytest.mark.models
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def test_serialize_tokens_tags(EN):
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doc1 = EN(u'This is a test sentence.',tag=True,parse=False,entity=False)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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@pytest.mark.models
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def test_serialize_tokens_parse(EN):
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doc1 = EN(u'This is a test sentence.',tag=False,parse=True,entity=False)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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@pytest.mark.models
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def test_serialize_tokens_ner(EN):
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doc1 = EN(u'This is a test sentence.',tag=False,parse=False,entity=True)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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@pytest.mark.models
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def test_serialize_tokens_tags_parse(EN):
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doc1 = EN(u'This is a test sentence.',tag=True,parse=True,entity=True)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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@pytest.mark.models
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def test_serialize_tokens_tags_ner(EN):
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doc1 = EN(u'This is a test sentence.',tag=True,parse=False,entity=True)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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@pytest.mark.models
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def test_serialize_tokens_ner_parse(EN):
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doc1 = EN(u'This is a test sentence.',tag=False,parse=True,entity=True)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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@pytest.mark.models
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def test_serialize_tokens_tags_parse_ner(EN):
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doc1 = EN(u'This is a test sentence.',tag=True,parse=True,entity=True)
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doc2 = Doc(EN.vocab).from_bytes(doc1.to_bytes())
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equal(doc1,doc2)
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