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 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 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 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 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 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_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 ti_tokenizer(): return get_lang_class("ti")().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 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