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109 lines
3.4 KiB
Python
109 lines
3.4 KiB
Python
import pytest
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from spacy import util, registry
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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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return English()
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@pytest.fixture
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def lemmatizer(nlp):
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@registry.assets("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"})
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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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lemmatizer = nlp.add_pipe(
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"lemmatizer", config={"mode": "rule", "lookups": {"@assets": "cope_lookups"}}
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)
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return lemmatizer
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def test_lemmatizer_init(nlp):
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@registry.assets("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"})
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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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lemmatizer = nlp.add_pipe(
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"lemmatizer", config={"mode": "lookup", "lookups": {"@assets": "cope_lookups"}}
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)
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assert isinstance(lemmatizer.lookups, Lookups)
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assert lemmatizer.mode == "lookup"
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# replace any tables from spacy-lookups-data
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lemmatizer.lookups = Lookups()
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doc = nlp("coping")
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# lookup with no tables sets text as lemma
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assert doc[0].lemma_ == "coping"
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nlp.remove_pipe("lemmatizer")
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@registry.assets("empty_lookups")
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def empty_lookups():
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return Lookups()
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with pytest.raises(ValueError):
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nlp.add_pipe(
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"lemmatizer",
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config={"mode": "lookup", "lookups": {"@assets": "empty_lookups"}},
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)
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def test_lemmatizer_config(nlp, lemmatizer):
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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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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, lemmatizer):
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@registry.assets("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"})
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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(
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"lemmatizer", config={"mode": "rule", "lookups": {"@assets": "cope_lookups"}}
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)
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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 = lemmatizer(doc2)
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assert doc2[0].text == "coping"
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assert doc2[0].lemma_ == "cope"
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