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For languages without provided models and with lemmatizer rules in `spacy-lookups-data`, make the rule-based lemmatizer the default: Bengali, Persian, Norwegian, Swedish
33 lines
1.1 KiB
Python
33 lines
1.1 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: pl
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LANGUAGES = ["bn", "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"})
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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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"""Test that languages can be initialized."""
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nlp = get_lang_class(lang)()
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nlp.add_pipe("lemmatizer", config={"lookups": {"@misc": "lemmatizer_init_lookups"}})
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# Check for stray print statements (see #3342)
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doc = nlp("test") # noqa: F841
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captured = capfd.readouterr()
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assert not captured.out
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