mirror of
https://github.com/explosion/spaCy.git
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e962784531
* Add Lemmatizer and simplify related components * Add `Lemmatizer` pipe with `lookup` and `rule` modes using the `Lookups` tables. * Reduce `Tagger` to a simple tagger that sets `Token.tag` (no pos or lemma) * Reduce `Morphology` to only keep track of morph tags (no tag map, lemmatizer, or morph rules) * Remove lemmatizer from `Vocab` * Adjust many many tests Differences: * No default lookup lemmas * No special treatment of TAG in `from_array` and similar required * Easier to modify labels in a `Tagger` * No extra strings added from morphology / tag map * Fix test * Initial fix for Lemmatizer config/serialization * Adjust init test to be more generic * Adjust init test to force empty Lookups * Add simple cache to rule-based lemmatizer * Convert language-specific lemmatizers Convert language-specific lemmatizers to component lemmatizers. Remove previous lemmatizer class. * Fix French and Polish lemmatizers * Remove outdated UPOS conversions * Update Russian lemmatizer init in tests * Add minimal init/run tests for custom lemmatizers * Add option to overwrite existing lemmas * Update mode setting, lookup loading, and caching * Make `mode` an immutable property * Only enforce strict `load_lookups` for known supported modes * Move caching into individual `_lemmatize` methods * Implement strict when lang is not found in lookups * Fix tables/lookups in make_lemmatizer * Reallow provided lookups and allow for stricter checks * Add lookups asset to all Lemmatizer pipe tests * Rename lookups in lemmatizer init test * Clean up merge * Refactor lookup table loading * Add helper from `load_lemmatizer_lookups` that loads required and optional lookups tables based on settings provided by a config. Additional slight refactor of lookups: * Add `Lookups.set_table` to set a table from a provided `Table` * Reorder class definitions to be able to specify type as `Table` * Move registry assets into test methods * Refactor lookups tables config Use class methods within `Lemmatizer` to provide the config for particular modes and to load the lookups from a config. * Add pipe and score to lemmatizer * Simplify Tagger.score * Add missing import * Clean up imports and auto-format * Remove unused kwarg * Tidy up and auto-format * Update docstrings for Lemmatizer Update docstrings for Lemmatizer. Additionally modify `is_base_form` API to take `Token` instead of individual features. * Update docstrings * Remove tag map values from Tagger.add_label * Update API docs * Fix relative link in Lemmatizer API docs
282 lines
6.1 KiB
Python
282 lines
6.1 KiB
Python
import pytest
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from spacy.util import get_lang_class
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def pytest_addoption(parser):
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parser.addoption("--slow", action="store_true", help="include slow tests")
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def pytest_runtest_setup(item):
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def getopt(opt):
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# When using 'pytest --pyargs spacy' to test an installed copy of
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# spacy, pytest skips running our pytest_addoption() hook. Later, when
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# we call getoption(), pytest raises an error, because it doesn't
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# recognize the option we're asking about. To avoid this, we need to
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# pass a default value. We default to False, i.e., we act like all the
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# options weren't given.
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return item.config.getoption(f"--{opt}", False)
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for opt in ["slow"]:
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if opt in item.keywords and not getopt(opt):
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pytest.skip(f"need --{opt} option to run")
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# Fixtures for language tokenizers (languages sorted alphabetically)
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@pytest.fixture(scope="module")
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def tokenizer():
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return get_lang_class("xx")().tokenizer
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@pytest.fixture(scope="session")
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def ar_tokenizer():
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return get_lang_class("ar")().tokenizer
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@pytest.fixture(scope="session")
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def bn_tokenizer():
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return get_lang_class("bn")().tokenizer
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@pytest.fixture(scope="session")
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def ca_tokenizer():
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return get_lang_class("ca")().tokenizer
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@pytest.fixture(scope="session")
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def da_tokenizer():
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return get_lang_class("da")().tokenizer
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@pytest.fixture(scope="session")
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def de_tokenizer():
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return get_lang_class("de")().tokenizer
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@pytest.fixture(scope="session")
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def el_tokenizer():
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return get_lang_class("el")().tokenizer
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@pytest.fixture(scope="session")
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def en_tokenizer():
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return get_lang_class("en")().tokenizer
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@pytest.fixture(scope="session")
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def en_vocab():
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return get_lang_class("en")().vocab
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@pytest.fixture(scope="session")
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def en_parser(en_vocab):
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nlp = get_lang_class("en")(en_vocab)
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return nlp.create_pipe("parser")
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@pytest.fixture(scope="session")
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def es_tokenizer():
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return get_lang_class("es")().tokenizer
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@pytest.fixture(scope="session")
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def eu_tokenizer():
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return get_lang_class("eu")().tokenizer
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@pytest.fixture(scope="session")
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def fa_tokenizer():
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return get_lang_class("fa")().tokenizer
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@pytest.fixture(scope="session")
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def fi_tokenizer():
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return get_lang_class("fi")().tokenizer
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@pytest.fixture(scope="session")
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def fr_tokenizer():
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return get_lang_class("fr")().tokenizer
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@pytest.fixture(scope="session")
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def ga_tokenizer():
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return get_lang_class("ga")().tokenizer
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@pytest.fixture(scope="session")
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def gu_tokenizer():
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return get_lang_class("gu")().tokenizer
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@pytest.fixture(scope="session")
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def he_tokenizer():
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return get_lang_class("he")().tokenizer
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@pytest.fixture(scope="session")
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def hr_tokenizer():
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return get_lang_class("hr")().tokenizer
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@pytest.fixture
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def hu_tokenizer():
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return get_lang_class("hu")().tokenizer
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@pytest.fixture(scope="session")
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def id_tokenizer():
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return get_lang_class("id")().tokenizer
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@pytest.fixture(scope="session")
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def it_tokenizer():
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return get_lang_class("it")().tokenizer
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@pytest.fixture(scope="session")
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def ja_tokenizer():
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pytest.importorskip("sudachipy")
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return get_lang_class("ja")().tokenizer
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@pytest.fixture(scope="session")
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def ko_tokenizer():
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pytest.importorskip("natto")
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return get_lang_class("ko")().tokenizer
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@pytest.fixture(scope="session")
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def lb_tokenizer():
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return get_lang_class("lb")().tokenizer
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@pytest.fixture(scope="session")
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def lt_tokenizer():
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return get_lang_class("lt")().tokenizer
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@pytest.fixture(scope="session")
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def ml_tokenizer():
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return get_lang_class("ml")().tokenizer
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@pytest.fixture(scope="session")
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def nb_tokenizer():
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return get_lang_class("nb")().tokenizer
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@pytest.fixture(scope="session")
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def ne_tokenizer():
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return get_lang_class("ne")().tokenizer
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@pytest.fixture(scope="session")
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def nl_tokenizer():
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return get_lang_class("nl")().tokenizer
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@pytest.fixture(scope="session")
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def pl_tokenizer():
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return get_lang_class("pl")().tokenizer
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@pytest.fixture(scope="session")
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def pt_tokenizer():
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return get_lang_class("pt")().tokenizer
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@pytest.fixture(scope="session")
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def ro_tokenizer():
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return get_lang_class("ro")().tokenizer
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@pytest.fixture(scope="session")
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def ru_tokenizer():
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pytest.importorskip("pymorphy2")
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return get_lang_class("ru")().tokenizer
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@pytest.fixture
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def ru_lemmatizer():
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pytest.importorskip("pymorphy2")
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return get_lang_class("ru")().add_pipe("lemmatizer")
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@pytest.fixture(scope="session")
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def sr_tokenizer():
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return get_lang_class("sr")().tokenizer
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@pytest.fixture(scope="session")
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def sv_tokenizer():
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return get_lang_class("sv")().tokenizer
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@pytest.fixture(scope="session")
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def th_tokenizer():
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pytest.importorskip("pythainlp")
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return get_lang_class("th")().tokenizer
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@pytest.fixture(scope="session")
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def tr_tokenizer():
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return get_lang_class("tr")().tokenizer
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@pytest.fixture(scope="session")
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def tt_tokenizer():
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return get_lang_class("tt")().tokenizer
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@pytest.fixture(scope="session")
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def uk_tokenizer():
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pytest.importorskip("pymorphy2")
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pytest.importorskip("pymorphy2.lang")
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return get_lang_class("uk")().tokenizer
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@pytest.fixture(scope="session")
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def ur_tokenizer():
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return get_lang_class("ur")().tokenizer
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@pytest.fixture(scope="session")
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def yo_tokenizer():
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return get_lang_class("yo")().tokenizer
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@pytest.fixture(scope="session")
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def zh_tokenizer_char():
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nlp = get_lang_class("zh")()
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return nlp.tokenizer
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@pytest.fixture(scope="session")
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def zh_tokenizer_jieba():
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pytest.importorskip("jieba")
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config = {
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"@tokenizers": "spacy.zh.ChineseTokenizer",
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"segmenter": "jieba",
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}
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nlp = get_lang_class("zh").from_config({"nlp": {"tokenizer": config}})
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return nlp.tokenizer
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@pytest.fixture(scope="session")
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def zh_tokenizer_pkuseg():
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pytest.importorskip("pkuseg")
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config = {
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"@tokenizers": "spacy.zh.ChineseTokenizer",
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"segmenter": "pkuseg",
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"pkuseg_model": "default",
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}
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nlp = get_lang_class("zh").from_config({"nlp": {"tokenizer": config}})
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return nlp.tokenizer
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@pytest.fixture(scope="session")
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def hy_tokenizer():
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return get_lang_class("hy")().tokenizer
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