mirror of https://github.com/explosion/spaCy.git
47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
|
import pytest
|
||
|
|
from spacy.tokens import Doc
|
||
|
|
from spacy.language import Language
|
||
|
|
from spacy.lookups import Lookups
|
||
|
|
|
||
|
|
|
||
|
|
def test_lemmatizer_reflects_lookups_changes():
|
||
|
|
"""Test for an issue that'd cause lookups available in a model loaded from
|
||
|
|
disk to not be reflected in the lemmatizer."""
|
||
|
|
nlp = Language()
|
||
|
|
assert Doc(nlp.vocab, words=["foo"])[0].lemma_ == "foo"
|
||
|
|
table = nlp.vocab.lookups.add_table("lemma_lookup")
|
||
|
|
table["foo"] = "bar"
|
||
|
|
assert Doc(nlp.vocab, words=["foo"])[0].lemma_ == "bar"
|
||
|
|
table = nlp.vocab.lookups.get_table("lemma_lookup")
|
||
|
|
table["hello"] = "world"
|
||
|
|
# The update to the table should be reflected in the lemmatizer
|
||
|
|
assert Doc(nlp.vocab, words=["hello"])[0].lemma_ == "world"
|
||
|
|
new_nlp = Language()
|
||
|
|
table = new_nlp.vocab.lookups.add_table("lemma_lookup")
|
||
|
|
table["hello"] = "hi"
|
||
|
|
assert Doc(new_nlp.vocab, words=["hello"])[0].lemma_ == "hi"
|
||
|
|
nlp_bytes = nlp.to_bytes()
|
||
|
|
new_nlp.from_bytes(nlp_bytes)
|
||
|
|
# Make sure we have the previously saved lookup table
|
||
|
|
assert len(new_nlp.vocab.lookups) == 1
|
||
|
|
assert len(new_nlp.vocab.lookups.get_table("lemma_lookup")) == 2
|
||
|
|
assert new_nlp.vocab.lookups.get_table("lemma_lookup")["hello"] == "world"
|
||
|
|
assert Doc(new_nlp.vocab, words=["foo"])[0].lemma_ == "bar"
|
||
|
|
assert Doc(new_nlp.vocab, words=["hello"])[0].lemma_ == "world"
|
||
|
|
|
||
|
|
|
||
|
|
def test_tagger_warns_no_lemma_lookups():
|
||
|
|
nlp = Language()
|
||
|
|
nlp.vocab.lookups = Lookups()
|
||
|
|
assert not len(nlp.vocab.lookups)
|
||
|
|
tagger = nlp.create_pipe("tagger")
|
||
|
|
with pytest.warns(UserWarning):
|
||
|
|
tagger.begin_training()
|
||
|
|
nlp.add_pipe(tagger)
|
||
|
|
with pytest.warns(UserWarning):
|
||
|
|
nlp.begin_training()
|
||
|
|
nlp.vocab.lookups.add_table("lemma_lookup")
|
||
|
|
with pytest.warns(None) as record:
|
||
|
|
nlp.begin_training()
|
||
|
|
assert not record.list
|