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	* Use isort with Black profile * isort all the things * Fix import cycles as a result of import sorting * Add DOCBIN_ALL_ATTRS type definition * Add isort to requirements * Remove isort from build dependencies check * Typo
		
			
				
	
	
		
			510 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			510 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import pytest
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| from hypothesis import settings
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| 
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| from spacy.util import get_lang_class
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| 
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| # Functionally disable deadline settings for tests
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| # to prevent spurious test failures in CI builds.
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| settings.register_profile("no_deadlines", deadline=2 * 60 * 1000)  # in ms
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| settings.load_profile("no_deadlines")
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| 
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| 
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| def pytest_addoption(parser):
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|     try:
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|         parser.addoption("--slow", action="store_true", help="include slow tests")
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|         parser.addoption("--issue", action="store", help="test specific issues")
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|     # Options are already added, e.g. if conftest is copied in a build pipeline
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|     # and runs twice
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|     except ValueError:
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|         pass
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| 
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| 
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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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| 
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|     # Integration of boolean flags
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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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| 
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|     # Special integration to mark tests with issue numbers
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|     issues = getopt("issue")
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|     if isinstance(issues, str):
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|         if "issue" in item.keywords:
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|             # Convert issues provided on the CLI to list of ints
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|             issue_nos = [int(issue.strip()) for issue in issues.split(",")]
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|             # Get all issues specified by decorators and check if they're provided
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|             issue_refs = [mark.args[0] for mark in item.iter_markers(name="issue")]
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|             if not any([ref in issue_nos for ref in issue_refs]):
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|                 pytest.skip(f"not referencing specified issues: {issue_nos}")
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|         else:
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|             pytest.skip("not referencing any issues")
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| 
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| 
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| # Fixtures for language tokenizers (languages sorted alphabetically)
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def af_tokenizer():
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|     return get_lang_class("af")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def am_tokenizer():
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|     return get_lang_class("am")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def bg_tokenizer():
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|     return get_lang_class("bg")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def cs_tokenizer():
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|     return get_lang_class("cs")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def de_vocab():
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|     return get_lang_class("de")().vocab
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| 
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| 
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| @pytest.fixture(scope="session")
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| def dsb_tokenizer():
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|     return get_lang_class("dsb")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def es_vocab():
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|     return get_lang_class("es")().vocab
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| 
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| 
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| @pytest.fixture(scope="session")
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| def et_tokenizer():
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|     return get_lang_class("et")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def fr_vocab():
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|     return get_lang_class("fr")().vocab
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def grc_tokenizer():
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|     return get_lang_class("grc")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def hi_tokenizer():
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|     return get_lang_class("hi")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def is_tokenizer():
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|     return get_lang_class("is")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def it_vocab():
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|     return get_lang_class("it")().vocab
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def hsb_tokenizer():
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|     return get_lang_class("hsb")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def ko_tokenizer_tokenizer():
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|     config = {
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|         "nlp": {
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|             "tokenizer": {
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|                 "@tokenizers": "spacy.Tokenizer.v1",
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|             }
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|         }
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|     }
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|     nlp = get_lang_class("ko").from_config(config)
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|     return nlp.tokenizer
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| 
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| 
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| @pytest.fixture(scope="module")
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| def la_tokenizer():
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|     return get_lang_class("la")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def lg_tokenizer():
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|     return get_lang_class("lg")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def lv_tokenizer():
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|     return get_lang_class("lv")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def mk_tokenizer():
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|     return get_lang_class("mk")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def ms_tokenizer():
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|     return get_lang_class("ms")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def nl_vocab():
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|     return get_lang_class("nl")().vocab
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def pt_vocab():
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|     return get_lang_class("pt")().vocab
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def ru_tokenizer():
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|     pytest.importorskip("pymorphy3")
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|     return get_lang_class("ru")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def ru_lemmatizer():
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|     pytest.importorskip("pymorphy3")
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|     return get_lang_class("ru")().add_pipe("lemmatizer")
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| 
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| 
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| @pytest.fixture(scope="session")
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| def ru_lookup_lemmatizer():
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|     pytest.importorskip("pymorphy3")
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|     return get_lang_class("ru")().add_pipe(
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|         "lemmatizer", config={"mode": "pymorphy3_lookup"}
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|     )
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| 
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| 
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| @pytest.fixture(scope="session")
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| def sa_tokenizer():
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|     return get_lang_class("sa")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def sk_tokenizer():
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|     return get_lang_class("sk")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def sl_tokenizer():
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|     return get_lang_class("sl")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def sq_tokenizer():
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|     return get_lang_class("sq")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def ta_tokenizer():
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|     return get_lang_class("ta")().tokenizer
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def ti_tokenizer():
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|     return get_lang_class("ti")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def tl_tokenizer():
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|     return get_lang_class("tl")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def ky_tokenizer():
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|     return get_lang_class("ky")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def uk_tokenizer():
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|     pytest.importorskip("pymorphy3")
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|     return get_lang_class("uk")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def uk_lemmatizer():
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|     pytest.importorskip("pymorphy3")
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|     pytest.importorskip("pymorphy3_dicts_uk")
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|     return get_lang_class("uk")().add_pipe("lemmatizer")
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| 
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| 
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| @pytest.fixture(scope="session")
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| def uk_lookup_lemmatizer():
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|     pytest.importorskip("pymorphy3")
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|     pytest.importorskip("pymorphy3_dicts_uk")
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|     return get_lang_class("uk")().add_pipe(
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|         "lemmatizer", config={"mode": "pymorphy3_lookup"}
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|     )
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| 
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| 
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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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| 
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| 
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| @pytest.fixture(scope="session")
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| def vi_tokenizer():
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|     pytest.importorskip("pyvi")
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|     return get_lang_class("vi")().tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def xx_tokenizer():
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|     return get_lang_class("xx")().tokenizer
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| 
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| 
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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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| 
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| 
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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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| 
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| 
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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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|         "nlp": {
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|             "tokenizer": {
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|                 "@tokenizers": "spacy.zh.ChineseTokenizer",
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|                 "segmenter": "jieba",
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|             }
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|         }
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|     }
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|     nlp = get_lang_class("zh").from_config(config)
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|     return nlp.tokenizer
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| 
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| 
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| @pytest.fixture(scope="session")
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| def zh_tokenizer_pkuseg():
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|     pytest.importorskip("spacy_pkuseg")
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|     config = {
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|         "nlp": {
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|             "tokenizer": {
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|                 "@tokenizers": "spacy.zh.ChineseTokenizer",
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|                 "segmenter": "pkuseg",
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|             }
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|         },
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|         "initialize": {"tokenizer": {"pkuseg_model": "web"}},
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|     }
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|     nlp = get_lang_class("zh").from_config(config)
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|     nlp.initialize()
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|     return nlp.tokenizer
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| 
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| 
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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
 |