mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 19:39:13 +03:00
f0e3e606a6
* Switch from mecab-python3 to fugashi mecab-python3 has been the best MeCab binding for a long time but it's not very actively maintained, and since it's based on old SWIG code distributed with MeCab there's a limit to how effectively it can be maintained. Fugashi is a new Cython-based MeCab wrapper I wrote. Since it's not based on the old SWIG code it's easier to keep it current and make small deviations from the MeCab C/C++ API where that makes sense. * Change mecab-python3 to fugashi in setup.cfg * Change "mecab tags" to "unidic tags" The tags come from MeCab, but the tag schema is specified by Unidic, so it's more proper to refer to it that way. * Update conftest * Add fugashi link to external deps list for Japanese
227 lines
5.5 KiB
Python
227 lines
5.5 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
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("--%s" % opt, False)
|
|
|
|
for opt in ["slow"]:
|
|
if opt in item.keywords and not getopt(opt):
|
|
pytest.skip("need --%s option to run" % opt)
|
|
|
|
|
|
# Fixtures for language tokenizers (languages sorted alphabetically)
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def tokenizer():
|
|
return get_lang_class("xx").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ar_tokenizer():
|
|
return get_lang_class("ar").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def bn_tokenizer():
|
|
return get_lang_class("bn").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ca_tokenizer():
|
|
return get_lang_class("ca").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def da_tokenizer():
|
|
return get_lang_class("da").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def de_tokenizer():
|
|
return get_lang_class("de").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def el_tokenizer():
|
|
return get_lang_class("el").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def en_tokenizer():
|
|
return get_lang_class("en").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def en_vocab():
|
|
return get_lang_class("en").Defaults.create_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").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def fi_tokenizer():
|
|
return get_lang_class("fi").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def fr_tokenizer():
|
|
return get_lang_class("fr").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ga_tokenizer():
|
|
return get_lang_class("ga").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def he_tokenizer():
|
|
return get_lang_class("he").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def hr_tokenizer():
|
|
return get_lang_class("hr").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture
|
|
def hu_tokenizer():
|
|
return get_lang_class("hu").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def id_tokenizer():
|
|
return get_lang_class("id").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def it_tokenizer():
|
|
return get_lang_class("it").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ja_tokenizer():
|
|
pytest.importorskip("fugashi")
|
|
return get_lang_class("ja").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ko_tokenizer():
|
|
pytest.importorskip("natto")
|
|
return get_lang_class("ko").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def lb_tokenizer():
|
|
return get_lang_class("lb").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def lt_tokenizer():
|
|
return get_lang_class("lt").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def nb_tokenizer():
|
|
return get_lang_class("nb").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def nl_tokenizer():
|
|
return get_lang_class("nl").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def pl_tokenizer():
|
|
return get_lang_class("pl").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def pt_tokenizer():
|
|
return get_lang_class("pt").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ro_tokenizer():
|
|
return get_lang_class("ro").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ru_tokenizer():
|
|
pytest.importorskip("pymorphy2")
|
|
return get_lang_class("ru").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture
|
|
def ru_lemmatizer():
|
|
pytest.importorskip("pymorphy2")
|
|
return get_lang_class("ru").Defaults.create_lemmatizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def sr_tokenizer():
|
|
return get_lang_class("sr").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def sv_tokenizer():
|
|
return get_lang_class("sv").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def th_tokenizer():
|
|
pytest.importorskip("pythainlp")
|
|
return get_lang_class("th").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def tr_tokenizer():
|
|
return get_lang_class("tr").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def tt_tokenizer():
|
|
return get_lang_class("tt").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def uk_tokenizer():
|
|
pytest.importorskip("pymorphy2")
|
|
pytest.importorskip("pymorphy2.lang")
|
|
return get_lang_class("uk").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def ur_tokenizer():
|
|
return get_lang_class("ur").Defaults.create_tokenizer()
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def zh_tokenizer():
|
|
pytest.importorskip("jieba")
|
|
return get_lang_class("zh").Defaults.create_tokenizer()
|