spaCy/spacy/tests/conftest.py
2020-10-10 19:14:48 +02:00

314 lines
6.7 KiB
Python

import pytest
from spacy.util import get_lang_class
def pytest_addoption(parser):
parser.addoption("--slow", action="store_true", help="include slow tests")
def pytest_runtest_setup(item):
def getopt(opt):
# When using 'pytest --pyargs spacy' to test an installed copy of
# spacy, pytest skips running our pytest_addoption() hook. Later, when
# we call getoption(), pytest raises an error, because it doesn't
# recognize the option we're asking about. To avoid this, we need to
# pass a default value. We default to False, i.e., we act like all the
# options weren't given.
return item.config.getoption(f"--{opt}", False)
for opt in ["slow"]:
if opt in item.keywords and not getopt(opt):
pytest.skip(f"need --{opt} option to run")
# Fixtures for language tokenizers (languages sorted alphabetically)
@pytest.fixture(scope="module")
def tokenizer():
return get_lang_class("xx")().tokenizer
@pytest.fixture(scope="session")
def ar_tokenizer():
return get_lang_class("ar")().tokenizer
@pytest.fixture(scope="session")
def bn_tokenizer():
return get_lang_class("bn")().tokenizer
@pytest.fixture(scope="session")
def ca_tokenizer():
return get_lang_class("ca")().tokenizer
@pytest.fixture(scope="session")
def cs_tokenizer():
return get_lang_class("cs")().tokenizer
@pytest.fixture(scope="session")
def da_tokenizer():
return get_lang_class("da")().tokenizer
@pytest.fixture(scope="session")
def de_tokenizer():
return get_lang_class("de")().tokenizer
@pytest.fixture(scope="session")
def de_vocab():
return get_lang_class("de")().vocab
@pytest.fixture(scope="session")
def el_tokenizer():
return get_lang_class("el")().tokenizer
@pytest.fixture(scope="session")
def en_tokenizer():
return get_lang_class("en")().tokenizer
@pytest.fixture(scope="session")
def en_vocab():
return get_lang_class("en")().vocab
@pytest.fixture(scope="session")
def en_parser(en_vocab):
nlp = get_lang_class("en")(en_vocab)
return nlp.create_pipe("parser")
@pytest.fixture(scope="session")
def es_tokenizer():
return get_lang_class("es")().tokenizer
@pytest.fixture(scope="session")
def eu_tokenizer():
return get_lang_class("eu")().tokenizer
@pytest.fixture(scope="session")
def fa_tokenizer():
return get_lang_class("fa")().tokenizer
@pytest.fixture(scope="session")
def fi_tokenizer():
return get_lang_class("fi")().tokenizer
@pytest.fixture(scope="session")
def fr_tokenizer():
return get_lang_class("fr")().tokenizer
@pytest.fixture(scope="session")
def ga_tokenizer():
return get_lang_class("ga")().tokenizer
@pytest.fixture(scope="session")
def gu_tokenizer():
return get_lang_class("gu")().tokenizer
@pytest.fixture(scope="session")
def he_tokenizer():
return get_lang_class("he")().tokenizer
@pytest.fixture(scope="session")
def hr_tokenizer():
return get_lang_class("hr")().tokenizer
@pytest.fixture
def hu_tokenizer():
return get_lang_class("hu")().tokenizer
@pytest.fixture(scope="session")
def id_tokenizer():
return get_lang_class("id")().tokenizer
@pytest.fixture(scope="session")
def it_tokenizer():
return get_lang_class("it")().tokenizer
@pytest.fixture(scope="session")
def ja_tokenizer():
pytest.importorskip("sudachipy")
return get_lang_class("ja")().tokenizer
@pytest.fixture(scope="session")
def ko_tokenizer():
pytest.importorskip("natto")
return get_lang_class("ko")().tokenizer
@pytest.fixture(scope="session")
def lb_tokenizer():
return get_lang_class("lb")().tokenizer
@pytest.fixture(scope="session")
def lt_tokenizer():
return get_lang_class("lt")().tokenizer
@pytest.fixture(scope="session")
def ml_tokenizer():
return get_lang_class("ml")().tokenizer
@pytest.fixture(scope="session")
def nb_tokenizer():
return get_lang_class("nb")().tokenizer
@pytest.fixture(scope="session")
def ne_tokenizer():
return get_lang_class("ne")().tokenizer
@pytest.fixture(scope="session")
def nl_tokenizer():
return get_lang_class("nl")().tokenizer
@pytest.fixture(scope="session")
def pl_tokenizer():
return get_lang_class("pl")().tokenizer
@pytest.fixture(scope="session")
def pt_tokenizer():
return get_lang_class("pt")().tokenizer
@pytest.fixture(scope="session")
def ro_tokenizer():
return get_lang_class("ro")().tokenizer
@pytest.fixture(scope="session")
def ru_tokenizer():
pytest.importorskip("pymorphy2")
return get_lang_class("ru")().tokenizer
@pytest.fixture
def ru_lemmatizer():
pytest.importorskip("pymorphy2")
return get_lang_class("ru")().add_pipe("lemmatizer")
@pytest.fixture(scope="session")
def sa_tokenizer():
return get_lang_class("sa")().tokenizer
@pytest.fixture(scope="session")
def sr_tokenizer():
return get_lang_class("sr")().tokenizer
@pytest.fixture(scope="session")
def sv_tokenizer():
return get_lang_class("sv")().tokenizer
@pytest.fixture(scope="session")
def th_tokenizer():
pytest.importorskip("pythainlp")
return get_lang_class("th")().tokenizer
@pytest.fixture(scope="session")
def tr_tokenizer():
return get_lang_class("tr")().tokenizer
@pytest.fixture(scope="session")
def tr_vocab():
return get_lang_class("tr").Defaults.create_vocab()
@pytest.fixture(scope="session")
def tt_tokenizer():
return get_lang_class("tt")().tokenizer
@pytest.fixture(scope="session")
def uk_tokenizer():
pytest.importorskip("pymorphy2")
return get_lang_class("uk")().tokenizer
@pytest.fixture(scope="session")
def ur_tokenizer():
return get_lang_class("ur")().tokenizer
@pytest.fixture(scope="session")
def yo_tokenizer():
return get_lang_class("yo")().tokenizer
@pytest.fixture(scope="session")
def zh_tokenizer_char():
nlp = get_lang_class("zh")()
return nlp.tokenizer
@pytest.fixture(scope="session")
def zh_tokenizer_jieba():
pytest.importorskip("jieba")
config = {
"nlp": {
"tokenizer": {
"@tokenizers": "spacy.zh.ChineseTokenizer",
"segmenter": "jieba",
}
}
}
nlp = get_lang_class("zh").from_config(config)
return nlp.tokenizer
@pytest.fixture(scope="session")
def zh_tokenizer_pkuseg():
pytest.importorskip("spacy_pkuseg")
config = {
"nlp": {
"tokenizer": {
"@tokenizers": "spacy.zh.ChineseTokenizer",
"segmenter": "pkuseg",
}
},
"initialize": {
"tokenizer": {
"pkuseg_model": "web",
}
},
}
nlp = get_lang_class("zh").from_config(config)
nlp.initialize()
return nlp.tokenizer
@pytest.fixture(scope="session")
def hy_tokenizer():
return get_lang_class("hy")().tokenizer