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