spaCy/spacy/tests/conftest.py
Tobius Saul c09d2fa25b
luganda language extension (#10847)
* luganda language extension

* __init__.py changes

* New enhancements

* Lexical attribute changed

* punctuaction and sentence additions

* Remove comment header

* Fix typos, reformat

* reformated version

* Add tokenizer test

* Remove contractions from stop words

* Format

* Add Luganda to website

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2022-08-23 13:09:36 +02:00

482 lines
11 KiB
Python

import pytest
from spacy.util import get_lang_class
from hypothesis import settings
# Functionally disable deadline settings for tests
# to prevent spurious test failures in CI builds.
settings.register_profile("no_deadlines", deadline=2 * 60 * 1000) # in ms
settings.load_profile("no_deadlines")
def pytest_addoption(parser):
try:
parser.addoption("--slow", action="store_true", help="include slow tests")
parser.addoption("--issue", action="store", help="test specific issues")
# Options are already added, e.g. if conftest is copied in a build pipeline
# and runs twice
except ValueError:
pass
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)
# Integration of boolean flags
for opt in ["slow"]:
if opt in item.keywords and not getopt(opt):
pytest.skip(f"need --{opt} option to run")
# Special integration to mark tests with issue numbers
issues = getopt("issue")
if isinstance(issues, str):
if "issue" in item.keywords:
# Convert issues provided on the CLI to list of ints
issue_nos = [int(issue.strip()) for issue in issues.split(",")]
# Get all issues specified by decorators and check if they're provided
issue_refs = [mark.args[0] for mark in item.iter_markers(name="issue")]
if not any([ref in issue_nos for ref in issue_refs]):
pytest.skip(f"not referencing specified issues: {issue_nos}")
else:
pytest.skip("not referencing any issues")
# Fixtures for language tokenizers (languages sorted alphabetically)
@pytest.fixture(scope="module")
def tokenizer():
return get_lang_class("xx")().tokenizer
@pytest.fixture(scope="session")
def af_tokenizer():
return get_lang_class("af")().tokenizer
@pytest.fixture(scope="session")
def am_tokenizer():
return get_lang_class("am")().tokenizer
@pytest.fixture(scope="session")
def ar_tokenizer():
return get_lang_class("ar")().tokenizer
@pytest.fixture(scope="session")
def bg_tokenizer():
return get_lang_class("bg")().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 dsb_tokenizer():
return get_lang_class("dsb")().tokenizer
@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 es_vocab():
return get_lang_class("es")().vocab
@pytest.fixture(scope="session")
def et_tokenizer():
return get_lang_class("et")().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 fr_vocab():
return get_lang_class("fr")().vocab
@pytest.fixture(scope="session")
def ga_tokenizer():
return get_lang_class("ga")().tokenizer
@pytest.fixture(scope="session")
def grc_tokenizer():
return get_lang_class("grc")().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 hi_tokenizer():
return get_lang_class("hi")().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 is_tokenizer():
return get_lang_class("is")().tokenizer
@pytest.fixture(scope="session")
def it_tokenizer():
return get_lang_class("it")().tokenizer
@pytest.fixture(scope="session")
def it_vocab():
return get_lang_class("it")().vocab
@pytest.fixture(scope="session")
def ja_tokenizer():
pytest.importorskip("sudachipy")
return get_lang_class("ja")().tokenizer
@pytest.fixture(scope="session")
def hsb_tokenizer():
return get_lang_class("hsb")().tokenizer
@pytest.fixture(scope="session")
def ko_tokenizer():
pytest.importorskip("natto")
return get_lang_class("ko")().tokenizer
@pytest.fixture(scope="session")
def ko_tokenizer_tokenizer():
config = {
"nlp": {
"tokenizer": {
"@tokenizers": "spacy.Tokenizer.v1",
}
}
}
nlp = get_lang_class("ko").from_config(config)
return nlp.tokenizer
@pytest.fixture(scope="session")
def lb_tokenizer():
return get_lang_class("lb")().tokenizer
@pytest.fixture(scope="session")
def lg_tokenizer():
return get_lang_class("lg")().tokenizer
@pytest.fixture(scope="session")
def lt_tokenizer():
return get_lang_class("lt")().tokenizer
@pytest.fixture(scope="session")
def lv_tokenizer():
return get_lang_class("lv")().tokenizer
@pytest.fixture(scope="session")
def mk_tokenizer():
return get_lang_class("mk")().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_vocab():
return get_lang_class("nl")().vocab
@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 pt_vocab():
return get_lang_class("pt")().vocab
@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 sk_tokenizer():
return get_lang_class("sk")().tokenizer
@pytest.fixture(scope="session")
def sl_tokenizer():
return get_lang_class("sl")().tokenizer
@pytest.fixture(scope="session")
def sr_tokenizer():
return get_lang_class("sr")().tokenizer
@pytest.fixture(scope="session")
def sq_tokenizer():
return get_lang_class("sq")().tokenizer
@pytest.fixture(scope="session")
def sv_tokenizer():
return get_lang_class("sv")().tokenizer
@pytest.fixture(scope="session")
def ta_tokenizer():
return get_lang_class("ta")().tokenizer
@pytest.fixture(scope="session")
def th_tokenizer():
pytest.importorskip("pythainlp")
return get_lang_class("th")().tokenizer
@pytest.fixture(scope="session")
def ti_tokenizer():
return get_lang_class("ti")().tokenizer
@pytest.fixture(scope="session")
def tl_tokenizer():
return get_lang_class("tl")().tokenizer
@pytest.fixture(scope="session")
def tr_tokenizer():
return get_lang_class("tr")().tokenizer
@pytest.fixture(scope="session")
def tt_tokenizer():
return get_lang_class("tt")().tokenizer
@pytest.fixture(scope="session")
def ky_tokenizer():
return get_lang_class("ky")().tokenizer
@pytest.fixture(scope="session")
def uk_tokenizer():
pytest.importorskip("pymorphy2")
return get_lang_class("uk")().tokenizer
@pytest.fixture
def uk_lemmatizer():
pytest.importorskip("pymorphy2")
pytest.importorskip("pymorphy2_dicts_uk")
return get_lang_class("uk")().add_pipe("lemmatizer")
@pytest.fixture(scope="session")
def ur_tokenizer():
return get_lang_class("ur")().tokenizer
@pytest.fixture(scope="session")
def vi_tokenizer():
pytest.importorskip("pyvi")
return get_lang_class("vi")().tokenizer
@pytest.fixture(scope="session")
def xx_tokenizer():
return get_lang_class("xx")().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