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