spaCy/spacy/tests/pipeline/test_lemmatizer.py
Daniël de Kok e2b70df012
Configure isort to use the Black profile, recursively isort the spacy module (#12721)
* Use isort with Black profile

* isort all the things

* Fix import cycles as a result of import sorting

* Add DOCBIN_ALL_ATTRS type definition

* Add isort to requirements

* Remove isort from build dependencies check

* Typo
2023-06-14 17:48:41 +02:00

116 lines
3.6 KiB
Python

import pickle
import pytest
from spacy import registry, util
from spacy.lang.en import English
from spacy.lookups import Lookups
from ..util import make_tempdir
@pytest.fixture
def nlp():
@registry.misc("cope_lookups")
def cope_lookups():
lookups = Lookups()
lookups.add_table("lemma_lookup", {"cope": "cope", "coped": "cope"})
lookups.add_table("lemma_index", {"verb": ("cope", "cop")})
lookups.add_table("lemma_exc", {"verb": {"coping": ("cope",)}})
lookups.add_table("lemma_rules", {"verb": [["ing", ""]]})
return lookups
nlp = English()
nlp.config["initialize"]["components"]["lemmatizer"] = {
"lookups": {"@misc": "cope_lookups"}
}
return nlp
def test_lemmatizer_init(nlp):
lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
assert isinstance(lemmatizer.lookups, Lookups)
assert not lemmatizer.lookups.tables
assert lemmatizer.mode == "lookup"
with pytest.raises(ValueError):
nlp("test")
nlp.initialize()
assert lemmatizer.lookups.tables
assert nlp("cope")[0].lemma_ == "cope"
assert nlp("coped")[0].lemma_ == "cope"
# replace any tables from spacy-lookups-data
lemmatizer.lookups = Lookups()
# lookup with no tables sets text as lemma
assert nlp("cope")[0].lemma_ == "cope"
assert nlp("coped")[0].lemma_ == "coped"
nlp.remove_pipe("lemmatizer")
lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
with pytest.raises(ValueError):
# Can't initialize without required tables
lemmatizer.initialize(lookups=Lookups())
lookups = Lookups()
lookups.add_table("lemma_lookup", {})
lemmatizer.initialize(lookups=lookups)
def test_lemmatizer_config(nlp):
lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "rule"})
nlp.initialize()
# warning if no POS assigned
doc = nlp.make_doc("coping")
with pytest.warns(UserWarning):
doc = lemmatizer(doc)
# warns once by default
doc = lemmatizer(doc)
# works with POS
doc = nlp.make_doc("coping")
assert doc[0].lemma_ == ""
doc[0].pos_ = "VERB"
doc = lemmatizer(doc)
doc = lemmatizer(doc)
assert doc[0].text == "coping"
assert doc[0].lemma_ == "cope"
doc = nlp.make_doc("coping")
doc[0].pos_ = "VERB"
assert doc[0].lemma_ == ""
doc = lemmatizer(doc)
assert doc[0].text == "coping"
assert doc[0].lemma_ == "cope"
def test_lemmatizer_serialize(nlp):
lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "rule"})
nlp.initialize()
def cope_lookups():
lookups = Lookups()
lookups.add_table("lemma_lookup", {"cope": "cope", "coped": "cope"})
lookups.add_table("lemma_index", {"verb": ("cope", "cop")})
lookups.add_table("lemma_exc", {"verb": {"coping": ("cope",)}})
lookups.add_table("lemma_rules", {"verb": [["ing", ""]]})
return lookups
nlp2 = English()
lemmatizer2 = nlp2.add_pipe("lemmatizer", config={"mode": "rule"})
lemmatizer2.initialize(lookups=cope_lookups())
lemmatizer2.from_bytes(lemmatizer.to_bytes())
assert lemmatizer.to_bytes() == lemmatizer2.to_bytes()
assert lemmatizer.lookups.tables == lemmatizer2.lookups.tables
# Also test the results are still the same after IO
with make_tempdir() as tmp_dir:
nlp.to_disk(tmp_dir)
nlp2 = util.load_model_from_path(tmp_dir)
doc2 = nlp2.make_doc("coping")
doc2[0].pos_ = "VERB"
assert doc2[0].lemma_ == ""
doc2 = lemmatizer2(doc2)
assert doc2[0].text == "coping"
assert doc2[0].lemma_ == "cope"
# Make sure that lemmatizer cache can be pickled
pickle.dumps(lemmatizer2)