mirror of https://github.com/explosion/spaCy.git
55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
import pytest
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from spacy import registry
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from spacy.lookups import Lookups
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from spacy.util import get_lang_class
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# fmt: off
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# Only include languages with no external dependencies
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# excluded: ru, uk
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# excluded for custom tables: es, pl
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LANGUAGES = ["bn", "ca", "el", "en", "fa", "fr", "nb", "nl", "sv"]
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# fmt: on
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@pytest.mark.parametrize("lang", LANGUAGES)
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def test_lemmatizer_initialize(lang, capfd):
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@registry.misc("lemmatizer_init_lookups")
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def lemmatizer_init_lookups():
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lookups = Lookups()
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lookups.add_table("lemma_lookup", {"cope": "cope", "x": "y"})
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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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lang_cls = get_lang_class(lang)
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# Test that languages can be initialized
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nlp = lang_cls()
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lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
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assert not lemmatizer.lookups.tables
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nlp.config["initialize"]["components"]["lemmatizer"] = {
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"lookups": {"@misc": "lemmatizer_init_lookups"}
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}
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with pytest.raises(ValueError):
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nlp("x")
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nlp.initialize()
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assert lemmatizer.lookups.tables
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doc = nlp("x")
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# Check for stray print statements (see #3342)
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captured = capfd.readouterr()
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assert not captured.out
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assert doc[0].lemma_ == "y"
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# Test initialization by calling .initialize() directly
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nlp = lang_cls()
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lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
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lemmatizer.initialize(lookups=lemmatizer_init_lookups())
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assert nlp("x")[0].lemma_ == "y"
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# Test lookups config format
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for mode in ("rule", "lookup", "pos_lookup"):
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required, optional = lemmatizer.get_lookups_config(mode)
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assert isinstance(required, list)
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assert isinstance(optional, list)
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