mirror of https://github.com/explosion/spaCy.git
160 lines
3.9 KiB
Python
160 lines
3.9 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from io import StringIO, BytesIO
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from pathlib import Path
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import pytest
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from .util import load_test_model
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from ..tokens import Doc
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from ..strings import StringStore
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from .. import util
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_languages = ['bn', 'da', 'de', 'en', 'es', 'fi', 'fr', 'he', 'hu', 'id',
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'it', 'nb', 'nl', 'pl', 'pt', 'sv', 'th','xx']
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_models = {'en': ['en_core_web_sm'],
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'de': ['de_core_news_md'],
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'fr': ['fr_depvec_web_lg'],
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'xx': ['xx_ent_web_md']}
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# only used for tests that require loading the models
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# in all other cases, use specific instances
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@pytest.fixture(params=_models['en'])
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def EN(request):
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return load_test_model(request.param)
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@pytest.fixture(params=_models['de'])
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def DE(request):
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return load_test_model(request.param)
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@pytest.fixture(params=_models['fr'])
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def FR(request):
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return load_test_model(request.param)
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#@pytest.fixture(params=_languages)
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#def tokenizer(request):
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#lang = util.get_lang_class(request.param)
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#return lang.Defaults.create_tokenizer()
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@pytest.fixture
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def tokenizer():
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return util.get_lang_class('xx').Defaults.create_tokenizer()
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@pytest.fixture
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def en_tokenizer():
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return util.get_lang_class('en').Defaults.create_tokenizer()
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@pytest.fixture
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def en_vocab():
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return util.get_lang_class('en').Defaults.create_vocab()
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@pytest.fixture
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def en_parser(en_vocab):
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nlp = util.get_lang_class('en')(en_vocab)
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return nlp.create_pipe('parser')
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@pytest.fixture
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def es_tokenizer():
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return util.get_lang_class('es').Defaults.create_tokenizer()
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@pytest.fixture
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def de_tokenizer():
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return util.get_lang_class('de').Defaults.create_tokenizer()
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@pytest.fixture
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def fr_tokenizer():
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return util.get_lang_class('fr').Defaults.create_tokenizer()
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@pytest.fixture
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def hu_tokenizer():
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return util.get_lang_class('hu').Defaults.create_tokenizer()
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@pytest.fixture
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def fi_tokenizer():
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return util.get_lang_class('fi').Defaults.create_tokenizer()
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@pytest.fixture
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def id_tokenizer():
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return util.get_lang_class('id').Defaults.create_tokenizer()
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@pytest.fixture
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def sv_tokenizer():
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return util.get_lang_class('sv').Defaults.create_tokenizer()
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@pytest.fixture
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def bn_tokenizer():
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return util.get_lang_class('bn').Defaults.create_tokenizer()
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@pytest.fixture
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def he_tokenizer():
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return util.get_lang_class('he').Defaults.create_tokenizer()
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@pytest.fixture
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def nb_tokenizer():
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return util.get_lang_class('nb').Defaults.create_tokenizer()
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@pytest.fixture
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def th_tokenizer():
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pythainlp = pytest.importorskip("pythainlp")
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return util.get_lang_class('th').Defaults.create_tokenizer()
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@pytest.fixture
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def stringstore():
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return StringStore()
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@pytest.fixture
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def en_entityrecognizer():
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return util.get_lang_class('en').Defaults.create_entity()
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@pytest.fixture
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def text_file():
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return StringIO()
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@pytest.fixture
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def text_file_b():
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return BytesIO()
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def pytest_addoption(parser):
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parser.addoption("--models", action="store_true",
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help="include tests that require full models")
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parser.addoption("--vectors", action="store_true",
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help="include word vectors tests")
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parser.addoption("--slow", action="store_true",
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help="include slow tests")
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for lang in _languages + ['all']:
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parser.addoption("--%s" % lang, action="store_true", help="Use %s models" % lang)
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def pytest_runtest_setup(item):
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for opt in ['models', 'vectors', 'slow']:
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if opt in item.keywords and not item.config.getoption("--%s" % opt):
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pytest.skip("need --%s option to run" % opt)
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# Check if test is marked with models and has arguments set, i.e. specific
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# language. If so, skip test if flag not set.
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if item.get_marker('models'):
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for arg in item.get_marker('models').args:
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if not item.config.getoption("--%s" % arg) and not item.config.getoption("--all"):
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pytest.skip("need --%s or --all option to run" % arg)
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