mirror of https://github.com/explosion/spaCy.git
77 lines
3.5 KiB
Plaintext
77 lines
3.5 KiB
Plaintext
|
//- 💫 DOCS > USAGE > ADDING LANGUAGES > TESTING
|
|||
|
|
|
|||
|
|
p
|
|||
|
|
| Before using the new language or submitting a
|
|||
|
|
| #[+a(gh("spaCy") + "/pulls") pull request] to spaCy, you should make sure
|
|||
|
|
| it works as expected. This is especially important if you've added custom
|
|||
|
|
| regular expressions for token matching or punctuation – you don't want to
|
|||
|
|
| be causing regressions.
|
|||
|
|
|
|||
|
|
+infobox("spaCy's test suite")
|
|||
|
|
| spaCy uses the #[+a("https://docs.pytest.org/en/latest/") pytest framework]
|
|||
|
|
| for testing. For more details on how the tests are structured and best
|
|||
|
|
| practices for writing your own tests, see our
|
|||
|
|
| #[+a(gh("spaCy", "spacy/tests")) tests documentation].
|
|||
|
|
|
|||
|
|
p
|
|||
|
|
| The easiest way to test your new tokenizer is to run the
|
|||
|
|
| language-independent "tokenizer sanity" tests located in
|
|||
|
|
| #[+src(gh("spaCy", "spacy/tests/tokenizer")) #[code tests/tokenizer]].
|
|||
|
|
| This will test for basic behaviours like punctuation splitting, URL
|
|||
|
|
| matching and correct handling of whitespace. In the
|
|||
|
|
| #[+src(gh("spaCy", "spacy/tests/conftest.py")) #[code conftest.py]], add
|
|||
|
|
| the new language ID to the list of #[code _languages]:
|
|||
|
|
|
|||
|
|
+code.
|
|||
|
|
_languages = ['bn', 'da', 'de', 'en', 'es', 'fi', 'fr', 'he', 'hu', 'it', 'nb',
|
|||
|
|
'nl', 'pl', 'pt', 'sv', 'xx'] # new language here
|
|||
|
|
|
|||
|
|
+aside-code("Global tokenizer test example").
|
|||
|
|
# use fixture by adding it as an argument
|
|||
|
|
def test_with_all_languages(tokenizer):
|
|||
|
|
# will be performed on ALL language tokenizers
|
|||
|
|
tokens = tokenizer(u'Some text here.')
|
|||
|
|
|
|||
|
|
p
|
|||
|
|
| The language will now be included in the #[code tokenizer] test fixture,
|
|||
|
|
| which is used by the basic tokenizer tests. If you want to add your own
|
|||
|
|
| tests that should be run over all languages, you can use this fixture as
|
|||
|
|
| an argument of your test function.
|
|||
|
|
|
|||
|
|
+h(3, "testing-custom") Writing language-specific tests
|
|||
|
|
|
|||
|
|
p
|
|||
|
|
| It's recommended to always add at least some tests with examples specific
|
|||
|
|
| to the language. Language tests should be located in
|
|||
|
|
| #[+src(gh("spaCy", "spacy/tests/lang")) #[code tests/lang]] in a
|
|||
|
|
| directory named after the language ID. You'll also need to create a
|
|||
|
|
| fixture for your tokenizer in the
|
|||
|
|
| #[+src(gh("spaCy", "spacy/tests/conftest.py")) #[code conftest.py]].
|
|||
|
|
| Always use the #[+api("util#get_lang_class") #[code get_lang_class()]]
|
|||
|
|
| helper function within the fixture, instead of importing the class at the
|
|||
|
|
| top of the file. This will load the language data only when it's needed.
|
|||
|
|
| (Otherwise, #[em all data] would be loaded every time you run a test.)
|
|||
|
|
|
|||
|
|
+code.
|
|||
|
|
@pytest.fixture
|
|||
|
|
def en_tokenizer():
|
|||
|
|
return util.get_lang_class('en').Defaults.create_tokenizer()
|
|||
|
|
|
|||
|
|
p
|
|||
|
|
| When adding test cases, always
|
|||
|
|
| #[+a(gh("spaCy", "spacy/tests#parameters")) #[code parametrize]] them –
|
|||
|
|
| this will make it easier for others to add more test cases without having
|
|||
|
|
| to modify the test itself. You can also add parameter tuples, for example,
|
|||
|
|
| a test sentence and its expected length, or a list of expected tokens.
|
|||
|
|
| Here's an example of an English tokenizer test for combinations of
|
|||
|
|
| punctuation and abbreviations:
|
|||
|
|
|
|||
|
|
+code("Example test").
|
|||
|
|
@pytest.mark.parametrize('text,length', [
|
|||
|
|
("The U.S. Army likes Shock and Awe.", 8),
|
|||
|
|
("U.N. regulations are not a part of their concern.", 10),
|
|||
|
|
("“Isn't it?”", 6)])
|
|||
|
|
def test_en_tokenizer_handles_punct_abbrev(en_tokenizer, text, length):
|
|||
|
|
tokens = en_tokenizer(text)
|
|||
|
|
assert len(tokens) == length
|