mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 18:36:36 +03:00
128 lines
3.6 KiB
Python
128 lines
3.6 KiB
Python
from __future__ import unicode_literals
|
|
import pytest
|
|
|
|
from spacy.tokens import Doc
|
|
import spacy.en
|
|
from spacy.serialize.packer import Packer
|
|
|
|
|
|
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)
|
|
|
|
|
|
def test_serialize_empty_doc():
|
|
vocab = spacy.en.English.Defaults.create_vocab()
|
|
doc = Doc(vocab)
|
|
packer = Packer(vocab, {})
|
|
b = packer.pack(doc)
|
|
assert b == b''
|
|
loaded = Doc(vocab).from_bytes(b)
|
|
assert len(loaded) == 0
|
|
|
|
|
|
def test_serialize_after_adding_entity():
|
|
# Re issue #514
|
|
vocab = spacy.en.English.Defaults.create_vocab()
|
|
entity_recognizer = spacy.en.English.Defaults.create_entity()
|
|
|
|
doc = Doc(vocab, words=u'This is a sentence about pasta .'.split())
|
|
entity_recognizer.add_label('Food')
|
|
entity_recognizer(doc)
|
|
|
|
label_id = vocab.strings[u'Food']
|
|
doc.ents = [(label_id, 5,6)]
|
|
|
|
assert [(ent.label_, ent.text) for ent in doc.ents] == [(u'Food', u'pasta')]
|
|
|
|
byte_string = doc.to_bytes()
|
|
|
|
|
|
@pytest.mark.models
|
|
def test_serialize_after_adding_entity(EN):
|
|
EN.entity.add_label(u'Food')
|
|
doc = EN(u'This is a sentence about pasta.')
|
|
label_id = EN.vocab.strings[u'Food']
|
|
doc.ents = [(label_id, 5,6)]
|
|
byte_string = doc.to_bytes()
|
|
doc2 = Doc(EN.vocab).from_bytes(byte_string)
|
|
assert [(ent.label_, ent.text) for ent in doc2.ents] == [(u'Food', u'pasta')]
|