spaCy/spacy/tests/lang/test_lemmatizers.py
Adriane Boyd b98d216205
Update Catalan language data (#8308)
* Update Catalan language data

Update Catalan language data based on contributions from the Text Mining
Unit at the Barcelona Supercomputing Center:

https://github.com/TeMU-BSC/spacy4release/tree/main/lang_data

* Update tokenizer settings for UD Catalan AnCora

Update for UD Catalan AnCora v2.7 with merged multi-word tokens.

* Update test

* Move prefix patternt to more generic infix pattern

* Clean up
2021-06-11 10:21:22 +02:00

55 lines
1.9 KiB
Python

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