repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ms/test_text.py | spacy/tests/lang/ms/test_text.py | import pytest
from spacy.lang.ms.lex_attrs import like_num
@pytest.mark.parametrize("word", ["sebelas"])
def test_ms_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ms/__init__.py | spacy/tests/lang/ms/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ms/test_noun_chunks.py | spacy/tests/lang/ms/test_noun_chunks.py | import pytest
def test_noun_chunks_is_parsed_ms(ms_tokenizer):
"""Test that noun_chunks raises Value Error for 'ms' language if Doc is not parsed."""
doc = ms_tokenizer("sebelas")
with pytest.raises(ValueError):
list(doc.noun_chunks)
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/xx/test_text.py | spacy/tests/lang/xx/test_text.py | import pytest
def test_long_text(xx_tokenizer):
# Excerpt: Text in Skolt Sami taken from https://www.samediggi.fi
text = """
Säʹmmla lie Euroopp unioon oʹdinakai alggmeer. Säʹmmlai alggmeerstatus lij raʹvvjum Lääʹddjânnam vuâđđlääʹjjest.
Alggmeer kriteeʹr vuâđđâʹvve meeraikõskksaž tuâjjorganisaatio, ILO, su... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/xx/__init__.py | spacy/tests/lang/xx/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/xx/test_tokenizer.py | spacy/tests/lang/xx/test_tokenizer.py | import pytest
XX_BASIC_TOKENIZATION_TESTS = [
(
"Lääʹddjânnmest lie nuʹtt 10 000 säʹmmliʹžžed. Seeʹst pâʹjjel",
[
"Lääʹddjânnmest",
"lie",
"nuʹtt",
"10",
"000",
"säʹmmliʹžžed",
".",
"Seeʹst",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/th/test_serialize.py | spacy/tests/lang/th/test_serialize.py | import pickle
from spacy.lang.th import Thai
from ...util import make_tempdir
def test_th_tokenizer_serialize(th_tokenizer):
tokenizer_bytes = th_tokenizer.to_bytes()
nlp = Thai()
nlp.tokenizer.from_bytes(tokenizer_bytes)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
with make_tempdir() as... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/th/__init__.py | spacy/tests/lang/th/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/th/test_tokenizer.py | spacy/tests/lang/th/test_tokenizer.py | import pytest
@pytest.mark.parametrize(
"text,expected_tokens", [("คุณรักผมไหม", ["คุณ", "รัก", "ผม", "ไหม"])]
)
def test_th_tokenizer(th_tokenizer, text, expected_tokens):
tokens = [token.text for token in th_tokenizer(text)]
assert tokens == expected_tokens
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ta/test_text.py | spacy/tests/lang/ta/test_text.py | import pytest
from spacy.lang.ta import Tamil
# Wikipedia excerpt: https://en.wikipedia.org/wiki/Chennai (Tamil Language)
TAMIL_BASIC_TOKENIZER_SENTENCIZER_TEST_TEXT = """சென்னை (Chennai) தமிழ்நாட்டின் தலைநகரமும், இந்தியாவின் நான்காவது பெரிய நகரமும் ஆகும். 1996 ஆம் ஆண்டுக்கு முன்னர் இந்நகரம், மதராசு பட்டினம், மெட்ராஸ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ta/__init__.py | spacy/tests/lang/ta/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ta/test_tokenizer.py | spacy/tests/lang/ta/test_tokenizer.py | import pytest
from spacy.lang.ta import Tamil
from spacy.symbols import ORTH
TA_BASIC_TOKENIZATION_TESTS = [
(
"கிறிஸ்துமஸ் மற்றும் இனிய புத்தாண்டு வாழ்த்துக்கள்",
["கிறிஸ்துமஸ்", "மற்றும்", "இனிய", "புத்தாண்டு", "வாழ்த்துக்கள்"],
),
(
"எனக்கு என் குழந்தைப் பருவம் நினைவிருக்கிறது",... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fi/test_text.py | spacy/tests/lang/fi/test_text.py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10000", True),
("10,00", True),
("-999,0", True),
("yksi", True),
("kolmetoista", True),
("viisikymmentä", True),
("tuhat", True),
("1/2", True),... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fi/__init__.py | spacy/tests/lang/fi/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fi/test_noun_chunks.py | spacy/tests/lang/fi/test_noun_chunks.py | import pytest
from spacy.tokens import Doc
FI_NP_TEST_EXAMPLES = [
(
"Kaksi tyttöä potkii punaista palloa",
["NUM", "NOUN", "VERB", "ADJ", "NOUN"],
["nummod", "nsubj", "ROOT", "amod", "obj"],
[1, 1, 0, 1, -2],
["Kaksi tyttöä", "punaista palloa"],
),
(
"Eritt... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fi/test_tokenizer.py | spacy/tests/lang/fi/test_tokenizer.py | import pytest
ABBREVIATION_TESTS = [
(
"Hyvää uutta vuotta t. siht. Niemelä!",
["Hyvää", "uutta", "vuotta", "t.", "siht.", "Niemelä", "!"],
),
("Paino on n. 2.2 kg", ["Paino", "on", "n.", "2.2", "kg"]),
(
"Vuonna 1 eaa. tapahtui kauheita.",
["Vuonna", "1", "eaa.", "tapah... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/tr/test_parser.py | spacy/tests/lang/tr/test_parser.py | from spacy.tokens import Doc
def test_tr_noun_chunks_amod_simple(tr_tokenizer):
text = "sarı kedi"
heads = [1, 1]
deps = ["amod", "ROOT"]
pos = ["ADJ", "NOUN"]
tokens = tr_tokenizer(text)
doc = Doc(
tokens.vocab, words=[t.text for t in tokens], pos=pos, heads=heads, deps=deps
)
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/tr/test_text.py | spacy/tests/lang/tr/test_text.py | import pytest
from spacy.lang.tr.lex_attrs import like_num
def test_tr_tokenizer_handles_long_text(tr_tokenizer):
text = """Pamuk nasıl ipliğe dönüştürülür?
Sıkıştırılmış balyalar halindeki pamuk, iplik fabrikasına getirildiğinde hem
lifleri birbirine dolaşmıştır, hem de tarladan toplanırken araya bitkinin
parç... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/tr/__init__.py | spacy/tests/lang/tr/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/tr/test_noun_chunks.py | spacy/tests/lang/tr/test_noun_chunks.py | import pytest
def test_noun_chunks_is_parsed(tr_tokenizer):
"""Test that noun_chunks raises Value Error for 'tr' language if Doc is not parsed.
To check this test, we're constructing a Doc
with a new Vocab here and forcing is_parsed to 'False'
to make sure the noun chunks don't run.
"""
doc = ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/tr/test_tokenizer.py | spacy/tests/lang/tr/test_tokenizer.py | import pytest
ABBREV_TESTS = [
("Dr. Murat Bey ile görüştüm.", ["Dr.", "Murat", "Bey", "ile", "görüştüm", "."]),
("Dr.la görüştüm.", ["Dr.la", "görüştüm", "."]),
("Dr.'la görüştüm.", ["Dr.'la", "görüştüm", "."]),
("TBMM'de çalışıyormuş.", ["TBMM'de", "çalışıyormuş", "."]),
(
"Hem İst. hem A... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/he/__init__.py | spacy/tests/lang/he/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/he/test_tokenizer.py | spacy/tests/lang/he/test_tokenizer.py | import pytest
from spacy.lang.he.lex_attrs import like_num
@pytest.mark.parametrize(
"text,expected_tokens",
[("פייתון היא שפת תכנות דינמית", ["פייתון", "היא", "שפת", "תכנות", "דינמית"])],
)
def test_he_tokenizer_handles_abbreviation(he_tokenizer, text, expected_tokens):
tokens = he_tokenizer(text)
t... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/uk/test_tokenizer_exc.py | spacy/tests/lang/uk/test_tokenizer_exc.py | import pytest
@pytest.mark.parametrize(
"text,norms,lemmas",
[("ім.", ["імені"], ["ім'я"]), ("проф.", ["професор"], ["професор"])],
)
def test_uk_tokenizer_abbrev_exceptions(uk_tokenizer, text, norms, lemmas):
tokens = uk_tokenizer(text)
assert len(tokens) == 1
assert [token.norm_ for token in tok... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/uk/test_lemmatizer.py | spacy/tests/lang/uk/test_lemmatizer.py | import pytest
from spacy.tokens import Doc
pytestmark = pytest.mark.filterwarnings("ignore::DeprecationWarning")
def test_uk_lemmatizer(uk_lemmatizer):
"""Check that the default uk lemmatizer runs."""
doc = Doc(uk_lemmatizer.vocab, words=["a", "b", "c"])
assert uk_lemmatizer.mode == "pymorphy3"
uk_l... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/uk/__init__.py | spacy/tests/lang/uk/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/uk/test_tokenizer.py | spacy/tests/lang/uk/test_tokenizer.py | import pytest
PUNCT_OPEN = ["(", "[", "{", "*"]
PUNCT_CLOSE = [")", "]", "}", "*"]
PUNCT_PAIRED = [("(", ")"), ("[", "]"), ("{", "}"), ("*", "*")]
@pytest.mark.parametrize("text", ["(", "((", "<"])
def test_uk_tokenizer_handles_only_punct(uk_tokenizer, text):
tokens = uk_tokenizer(text)
assert len(tokens) ==... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ne/test_text.py | spacy/tests/lang/ne/test_text.py | import pytest
def test_ne_tokenizer_handlers_long_text(ne_tokenizer):
text = """मैले पाएको सर्टिफिकेटलाई म त बोक्रो सम्झन्छु र अभ्यास तब सुरु भयो, जब मैले कलेज पार गरेँ र जीवनको पढाइ सुरु गरेँ ।"""
tokens = ne_tokenizer(text)
assert len(tokens) == 24
@pytest.mark.parametrize(
"text,length", [("समय ज... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ne/__init__.py | spacy/tests/lang/ne/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ht/test_prefix_suffix_infix.py | spacy/tests/lang/ht/test_prefix_suffix_infix.py | import pytest
@pytest.mark.parametrize("text", ["(ka)"])
def test_ht_tokenizer_splits_no_special(ht_tokenizer, text):
tokens = ht_tokenizer(text)
assert len(tokens) == 3
@pytest.mark.parametrize("text", ["m'ap"])
def test_ht_tokenizer_splits_no_punct(ht_tokenizer, text):
tokens = ht_tokenizer(text)
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ht/test_text.py | spacy/tests/lang/ht/test_text.py | import pytest
from spacy.lang.ht.lex_attrs import like_num, norm_custom
def test_ht_tokenizer_handles_long_text(ht_tokenizer):
text = """Onè ap fèt pou ansyen lidè Pati Travayè Britanik
Moun atravè lemond ap voye onè pou ansyen lidè
Pati Travayè a, John Smith, ki mouri pi bonè jodi a apre li te fè yon gwo kriz ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ht/__init__.py | spacy/tests/lang/ht/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ht/test_exceptions.py | spacy/tests/lang/ht/test_exceptions.py | import pytest
def test_ht_tokenizer_handles_basic_contraction(ht_tokenizer):
text = "m'ap ri"
tokens = ht_tokenizer(text)
assert len(tokens) == 3
assert tokens[0].text == "m'"
assert tokens[1].text == "ap"
assert tokens[2].text == "ri"
text = "mwen di'w non!"
tokens = ht_tokenizer(tex... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ht/test_noun_chunks.py | spacy/tests/lang/ht/test_noun_chunks.py | import pytest
from spacy.tokens import Doc
@pytest.fixture
def doc(ht_vocab):
words = ["Pitit", "gen", "gwo", "pwoblèm", "ak", "kontwòl"]
heads = [1, 1, 5, 5, 3, 3]
deps = ["nsubj", "ROOT", "amod", "obj", "case", "nmod"]
pos = ["NOUN", "VERB", "ADJ", "NOUN", "ADP", "NOUN"]
return Doc(ht_vocab, wo... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ti/test_exception.py | spacy/tests/lang/ti/test_exception.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ti/test_text.py | spacy/tests/lang/ti/test_text.py | import pytest
def test_ti_tokenizer_handles_long_text(ti_tokenizer):
text = """ቻንስለር ጀርመን ኣንገላ መርከል ኣብታ ሃገር ቁጽሪ መትሓዝቲ ኮቪድ መዓልታዊ ክብረ መዝገብ ድሕሪ ምህራሙ- ጽኑዕ እገዳ ክግበር ጸዊዓ።
መርከል ሎሚ ንታሕታዋይ ባይቶ ሃገራ ክትገልጽ ከላ፡ ኣብ ወሳኒ ምዕራፍ ቃልሲ ኢና ዘለና-ዳሕራዋይ ማዕበል ካብቲ ቀዳማይ ክገድድ ይኽእል`ዩ ኢላ።
ትካል ምክልኻል ተላገብቲ ሕማማት ጀርመን፡ ኣብ ዝሓለፈ 24 ሰዓታት ኣብ ምልእቲ ጀርመር... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ti/__init__.py | spacy/tests/lang/ti/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/nb/__init__.py | spacy/tests/lang/nb/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/nb/test_noun_chunks.py | spacy/tests/lang/nb/test_noun_chunks.py | import pytest
def test_noun_chunks_is_parsed_nb(nb_tokenizer):
"""Test that noun_chunks raises Value Error for 'nb' language if Doc is not parsed."""
doc = nb_tokenizer("Smørsausen brukes bl.a. til")
with pytest.raises(ValueError):
list(doc.noun_chunks)
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/nb/test_tokenizer.py | spacy/tests/lang/nb/test_tokenizer.py | import pytest
NB_TOKEN_EXCEPTION_TESTS = [
(
"Smørsausen brukes bl.a. til fisk",
["Smørsausen", "brukes", "bl.a.", "til", "fisk"],
),
(
"Jeg kommer først kl. 13 pga. diverse forsinkelser",
["Jeg", "kommer", "først", "kl.", "13", "pga.", "diverse", "forsinkelser"],
),
]
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/zh/test_serialize.py | spacy/tests/lang/zh/test_serialize.py | import pytest
from spacy.lang.zh import Chinese
from ...util import make_tempdir
def zh_tokenizer_serialize(zh_tokenizer):
tokenizer_bytes = zh_tokenizer.to_bytes()
nlp = Chinese()
nlp.tokenizer.from_bytes(tokenizer_bytes)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
with make_tempdir() a... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/zh/test_text.py | spacy/tests/lang/zh/test_text.py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("999.0", True),
("一", True),
("二", True),
("〇", True),
("十一", True),
("狗", False),
(",", False),
],
)
def test_lex_attrs_like_number(zh_tokenizer_jieb... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/zh/__init__.py | spacy/tests/lang/zh/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/zh/test_tokenizer.py | spacy/tests/lang/zh/test_tokenizer.py | import pytest
from thinc.api import ConfigValidationError
from spacy.lang.zh import Chinese, _get_pkuseg_trie_data
# fmt: off
TEXTS = ("作为语言而言，为世界使用人数最多的语言，目前世界有五分之一人口做为母语。",)
JIEBA_TOKENIZER_TESTS = [
(TEXTS[0],
['作为', '语言', '而言', '，', '为', '世界', '使用', '人', '数最多',
'的', '语言', '，', '目前', '世界', '有'... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/grc/test_text.py | spacy/tests/lang/grc/test_text.py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("ι", True),
("α", True),
("ϟα", True),
("ἑκατόν", True),
("ἐνακόσια", True),
("δισχίλια", True),
("μύρια", True),
("εἷς", True),
("λόγος", False),
(",", False),
("λβ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/grc/__init__.py | spacy/tests/lang/grc/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/grc/test_tokenizer.py | spacy/tests/lang/grc/test_tokenizer.py | import pytest
# fmt: off
GRC_TOKEN_EXCEPTION_TESTS = [
("τὸ 〈τῆς〉 φιλοσοφίας ἔργον ἔνιοί φασιν ἀπὸ ⟦βαρβάρων⟧ ἄρξαι.", ["τὸ", "〈", "τῆς", "〉", "φιλοσοφίας", "ἔργον", "ἔνιοί", "φασιν", "ἀπὸ", "⟦", "βαρβάρων", "⟧", "ἄρξαι", "."]),
("τὴν δὲ τῶν Αἰγυπτίων φιλοσοφίαν εἶναι τοιαύτην περί τε †θεῶν† καὶ ὑπὲρ δικαιοσύν... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/bg/test_text.py | spacy/tests/lang/bg/test_text.py | import pytest
@pytest.mark.parametrize(
"word,match",
[
("10", True),
("1", True),
("10000", True),
("1.000", True),
("бројка", False),
("999,23", True),
("едно", True),
("две", True),
("цифра", False),
("единайсет", True),
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/bg/test_tokenizer.py | spacy/tests/lang/bg/test_tokenizer.py | import pytest
def test_bg_tokenizer_handles_final_diacritics(bg_tokenizer):
text = "Ня̀маше яйца̀. Ня̀маше яйца̀."
tokens = bg_tokenizer(text)
assert tokens[1].text == "яйца̀"
assert tokens[2].text == "."
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/cs/test_text.py | spacy/tests/lang/cs/test_text.py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10.000", True),
("1000", True),
("999,0", True),
("devatenáct", True),
("osmdesát", True),
("kvadrilion", True),
("Pes", False),
(",", False),
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/cs/__init__.py | spacy/tests/lang/cs/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_indices.py | spacy/tests/lang/en/test_indices.py | def test_en_simple_punct(en_tokenizer):
text = "to walk, do foo"
tokens = en_tokenizer(text)
assert tokens[0].idx == 0
assert tokens[1].idx == 3
assert tokens[2].idx == 7
assert tokens[3].idx == 9
assert tokens[4].idx == 12
def test_en_complex_punct(en_tokenizer):
text = "Tom (D., Ill.... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_sbd.py | spacy/tests/lang/en/test_sbd.py | import pytest
from spacy.tokens import Doc
from ...util import apply_transition_sequence
@pytest.mark.issue(309)
def test_issue309(en_vocab):
"""Test Issue #309: SBD fails on empty string"""
doc = Doc(en_vocab, words=[" "], heads=[0], deps=["ROOT"])
assert len(doc) == 1
sents = list(doc.sents)
a... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_customized_tokenizer.py | spacy/tests/lang/en/test_customized_tokenizer.py | import re
import pytest
from spacy.lang.en import English
from spacy.tokenizer import Tokenizer
from spacy.util import compile_infix_regex, compile_prefix_regex, compile_suffix_regex
@pytest.fixture
def custom_en_tokenizer(en_vocab):
prefix_re = compile_prefix_regex(English.Defaults.prefixes)
suffix_re = co... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_parser.py | spacy/tests/lang/en/test_parser.py | from spacy.tokens import Doc
def test_en_parser_noun_chunks_standard(en_vocab):
words = ["A", "base", "phrase", "should", "be", "recognized", "."]
heads = [2, 2, 5, 5, 5, 5, 5]
pos = ["DET", "ADJ", "NOUN", "AUX", "VERB", "VERB", "PUNCT"]
deps = ["det", "amod", "nsubjpass", "aux", "auxpass", "ROOT", "p... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_punct.py | spacy/tests/lang/en/test_punct.py | import pytest
from spacy.lang.punctuation import TOKENIZER_PREFIXES
from spacy.util import compile_prefix_regex
PUNCT_OPEN = ["(", "[", "{", "*"]
PUNCT_CLOSE = [")", "]", "}", "*"]
PUNCT_PAIRED = [("(", ")"), ("[", "]"), ("{", "}"), ("*", "*")]
@pytest.mark.parametrize("text", ["(", "((", "<"])
def test_en_tokenize... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_prefix_suffix_infix.py | spacy/tests/lang/en/test_prefix_suffix_infix.py | import pytest
@pytest.mark.parametrize("text", ["(can)"])
def test_en_tokenizer_splits_no_special(en_tokenizer, text):
tokens = en_tokenizer(text)
assert len(tokens) == 3
@pytest.mark.parametrize("text", ["can't"])
def test_en_tokenizer_splits_no_punct(en_tokenizer, text):
tokens = en_tokenizer(text)
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_text.py | spacy/tests/lang/en/test_text.py | import pytest
from spacy.lang.en.lex_attrs import like_num
def test_en_tokenizer_handles_long_text(en_tokenizer):
text = """Tributes pour in for late British Labour Party leader
Tributes poured in from around the world Thursday
to the late Labour Party leader John Smith, who died earlier from a massive
heart at... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/__init__.py | spacy/tests/lang/en/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_exceptions.py | spacy/tests/lang/en/test_exceptions.py | import pytest
def test_en_tokenizer_handles_basic_contraction(en_tokenizer):
text = "don't giggle"
tokens = en_tokenizer(text)
assert len(tokens) == 3
assert tokens[1].text == "n't"
text = "i said don't!"
tokens = en_tokenizer(text)
assert len(tokens) == 5
assert tokens[4].text == "!"
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_noun_chunks.py | spacy/tests/lang/en/test_noun_chunks.py | import pytest
from spacy.tokens import Doc
@pytest.fixture
def doc(en_vocab):
words = ["Peter", "has", "chronic", "command", "and", "control", "issues"]
heads = [1, 1, 6, 6, 3, 3, 1]
deps = ["nsubj", "ROOT", "amod", "nmod", "cc", "conj", "dobj"]
pos = ["PROPN", "VERB", "ADJ", "NOUN", "CCONJ", "NOUN",... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/en/test_tokenizer.py | spacy/tests/lang/en/test_tokenizer.py | import pytest
@pytest.mark.issue(351)
def test_issue351(en_tokenizer):
doc = en_tokenizer(" This is a cat.")
assert doc[0].idx == 0
assert len(doc[0]) == 3
assert doc[1].idx == 3
@pytest.mark.issue(360)
def test_issue360(en_tokenizer):
"""Test tokenization of big ellipsis"""
tokens = en_to... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fo/__init__.py | spacy/tests/lang/fo/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fo/test_tokenizer.py | spacy/tests/lang/fo/test_tokenizer.py | import pytest
# examples taken from Basic LAnguage Resource Kit 1.0 for Faroese (https://maltokni.fo/en/resources) licensed with CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
# fmt: off
FO_TOKEN_EXCEPTION_TESTS = [
(
"Eftir løgtingslóg um samsýning og eftirløn landsstýrismanna v.m., skulu løgmað... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ja/test_serialize.py | spacy/tests/lang/ja/test_serialize.py | import pickle
from spacy.lang.ja import Japanese
from ...util import make_tempdir
def test_ja_tokenizer_serialize(ja_tokenizer):
tokenizer_bytes = ja_tokenizer.to_bytes()
nlp = Japanese()
nlp.tokenizer.from_bytes(tokenizer_bytes)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
assert nlp.toke... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ja/test_morphologizer_factory.py | spacy/tests/lang/ja/test_morphologizer_factory.py | import pytest
from spacy.lang.ja import Japanese
def test_ja_morphologizer_factory():
pytest.importorskip("sudachipy")
nlp = Japanese()
morphologizer = nlp.add_pipe("morphologizer")
assert morphologizer.cfg["extend"] is True
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ja/test_lemmatization.py | spacy/tests/lang/ja/test_lemmatization.py | import pytest
@pytest.mark.parametrize(
"word,lemma",
[
("新しく", "新しい"),
("赤く", "赤い"),
("すごく", "すごい"),
("いただきました", "いただく"),
("なった", "なる"),
],
)
def test_ja_lemmatizer_assigns(ja_tokenizer, word, lemma):
test_lemma = ja_tokenizer(word)[0].lemma_
assert test_le... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ja/__init__.py | spacy/tests/lang/ja/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ja/test_tokenizer.py | spacy/tests/lang/ja/test_tokenizer.py | import pytest
from spacy.lang.ja import DetailedToken, Japanese
from ...tokenizer.test_naughty_strings import NAUGHTY_STRINGS
# fmt: off
TOKENIZER_TESTS = [
("日本語だよ", ['日本', '語', 'だ', 'よ']),
("東京タワーの近くに住んでいます。", ['東京', 'タワー', 'の', '近く', 'に', '住ん', 'で', 'い', 'ます', '。']),
("吾輩は猫である。", ['吾輩', 'は', '猫', 'で',... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/hy/test_text.py | spacy/tests/lang/hy/test_text.py | import pytest
from spacy.lang.hy.lex_attrs import like_num
@pytest.mark.parametrize("word", ["հիսուն"])
def test_hy_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/hy/__init__.py | spacy/tests/lang/hy/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/hy/test_tokenizer.py | spacy/tests/lang/hy/test_tokenizer.py | import pytest
# TODO add test cases with valid punctuation signs.
hy_tokenize_text_test = [
(
"Մետաղագիտությունը պայմանականորեն բաժանվում է տեսականի և կիրառականի (տեխնիկական)",
[
"Մետաղագիտությունը",
"պայմանականորեն",
"բաժանվում",
"է",
"տ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/yo/test_text.py | spacy/tests/lang/yo/test_text.py | import pytest
from spacy.lang.yo.lex_attrs import like_num
def test_yo_tokenizer_handles_long_text(yo_tokenizer):
text = """Àwọn ọmọ ìlú tí wọ́n ń ṣàmúlò ayélujára ti bẹ̀rẹ̀ ìkọkúkọ sórí àwòrán ààrẹ Nkurunziza nínú ìfẹ̀hónúhàn pẹ̀lú àmì ìdámọ̀: Nkurunziza àti Burundi:
Ọmọ ilé ẹ̀kọ́ gíga ní ẹ̀wọ̀n fún kí... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/yo/__init__.py | spacy/tests/lang/yo/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sq/test_text.py | spacy/tests/lang/sq/test_text.py | import pytest
def test_long_text(sq_tokenizer):
# Excerpt: European Convention on Human Rights
text = """
Qeveritë nënshkruese, anëtare të Këshillit të Evropës,
Duke pasur parasysh Deklaratën Universale të të Drejtave të
Njeriut, të shpallur nga Asambleja e Përgjithshme e Kombeve të
Bashkuara më 10 dhjetor 19... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sq/__init__.py | spacy/tests/lang/sq/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sq/test_tokenizer.py | spacy/tests/lang/sq/test_tokenizer.py | import pytest
SQ_BASIC_TOKENIZATION_TESTS = [
(
"Askush nuk mund t’i nënshtrohet torturës ose dënimeve ose "
"trajtimeve çnjerëzore ose poshtëruese.",
[
"Askush",
"nuk",
"mund",
"t’i",
"nënshtrohet",
"torturës",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/kmr/test_text.py | spacy/tests/lang/kmr/test_text.py | import pytest
from spacy.lang.kmr.lex_attrs import like_num
@pytest.mark.parametrize(
"word",
[
"yekem",
"duyemîn",
"100em",
"dehem",
"sedemîn",
"34em",
"30yem",
"20emîn",
"50yemîn",
],
)
def test_kmr_lex_attrs_like_number_for_ordina... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/kmr/__init__.py | spacy/tests/lang/kmr/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/pl/test_text.py | spacy/tests/lang/pl/test_text.py | """Words like numbers are recognized correctly."""
import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10,000", True),
("10,00", True),
("jeden", True),
("dwa", True),
("milion", True),
("pies", False),
(... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/pl/__init__.py | spacy/tests/lang/pl/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/pl/test_tokenizer.py | spacy/tests/lang/pl/test_tokenizer.py | import pytest
DOT_TESTS = [
("tel.", ["tel", "."]),
("0 zł 99 gr", ["0", "zł", "99", "gr"]),
]
HYPHEN_TESTS = [
("cztero-", ["cztero-"]),
("jedno-", ["jedno-"]),
("dwu-", ["dwu-"]),
("trzy-", ["trzy-"]),
]
TESTCASES = DOT_TESTS + HYPHEN_TESTS
@pytest.mark.parametrize("text,expected_tokens"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ar/test_text.py | spacy/tests/lang/ar/test_text.py | def test_ar_tokenizer_handles_long_text(ar_tokenizer):
text = """نجيب محفوظ مؤلف و كاتب روائي عربي، يعد من أهم الأدباء العرب خلال القرن العشرين.
ولد نجيب محفوظ في مدينة القاهرة، حيث ترعرع و تلقى تعليمه الجامعي في جامعتها،
فتمكن من نيل شهادة في الفلسفة. ألف محفوظ على مدار حياته الكثير من الأعمال الأدبية، ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ar/__init__.py | spacy/tests/lang/ar/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ar/test_exceptions.py | spacy/tests/lang/ar/test_exceptions.py | import pytest
@pytest.mark.parametrize("text", ["ق.م", "إلخ", "ص.ب", "ت."])
def test_ar_tokenizer_handles_abbr(ar_tokenizer, text):
tokens = ar_tokenizer(text)
assert len(tokens) == 1
def test_ar_tokenizer_handles_exc_in_text(ar_tokenizer):
text = "تعود الكتابة الهيروغليفية إلى سنة 3200 ق.م"
tokens ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/vi/test_serialize.py | spacy/tests/lang/vi/test_serialize.py | import pickle
from spacy.lang.vi import Vietnamese
from ...util import make_tempdir
def test_vi_tokenizer_serialize(vi_tokenizer):
tokenizer_bytes = vi_tokenizer.to_bytes()
nlp = Vietnamese()
nlp.tokenizer.from_bytes(tokenizer_bytes)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
assert nlp.... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/vi/__init__.py | spacy/tests/lang/vi/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/vi/test_tokenizer.py | spacy/tests/lang/vi/test_tokenizer.py | import pytest
from spacy.lang.vi import Vietnamese
from ...tokenizer.test_naughty_strings import NAUGHTY_STRINGS
# fmt: off
TOKENIZER_TESTS = [
("Đây là một văn bản bằng tiếng Việt Sau đó, đây là một văn bản khác bằng ngôn ngữ này", ['Đây', 'là', 'một', 'văn bản', 'bằng', 'tiếng', 'Việt', 'Sau', 'đó', ',', 'đâ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/nl/test_text.py | spacy/tests/lang/nl/test_text.py | import pytest
from spacy.lang.nl.lex_attrs import like_num
@pytest.mark.parametrize("word", ["elf", "elfde"])
def test_nl_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())
@pytest.mark.parametrize(
"text,num_tokens",
[
(
"De aftredende minister-presid... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/nl/__init__.py | spacy/tests/lang/nl/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/nl/test_noun_chunks.py | spacy/tests/lang/nl/test_noun_chunks.py | import pytest
from spacy.tokens import Doc
from spacy.util import filter_spans
@pytest.fixture
def nl_sample(nl_vocab):
# TEXT :
# Haar vriend lacht luid. We kregen alweer ruzie toen we de supermarkt ingingen.
# Aan het begin van de supermarkt is al het fruit en de groentes. Uiteindelijk hebben we dan oo... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fr/test_prefix_suffix_infix.py | spacy/tests/lang/fr/test_prefix_suffix_infix.py | import pytest
from spacy.lang.char_classes import ALPHA
from spacy.lang.punctuation import TOKENIZER_INFIXES
from spacy.language import BaseDefaults, Language
@pytest.mark.issue(768)
@pytest.mark.parametrize(
"text,expected_tokens", [("l'avion", ["l'", "avion"]), ("j'ai", ["j'", "ai"])]
)
def test_issue768(text,... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fr/test_text.py | spacy/tests/lang/fr/test_text.py | import pytest
from spacy.lang.fr.lex_attrs import like_num
def test_tokenizer_handles_long_text(fr_tokenizer):
text = """L'histoire du TAL commence dans les années 1950, bien que l'on puisse \
trouver des travaux antérieurs. En 1950, Alan Turing éditait un article \
célèbre sous le titre « Computing machinery an... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fr/__init__.py | spacy/tests/lang/fr/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fr/test_exceptions.py | spacy/tests/lang/fr/test_exceptions.py | import pytest
@pytest.mark.parametrize(
"text",
[
"aujourd'hui",
"Aujourd'hui",
"prud'hommes",
"prud’hommal",
"audio-numérique",
"Audio-numérique",
"entr'amis",
"entr'abat",
"rentr'ouvertes",
"grand'hamien",
"Châteauneuf-l... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/fr/test_noun_chunks.py | spacy/tests/lang/fr/test_noun_chunks.py | import pytest
from spacy.tokens import Doc
# fmt: off
@pytest.mark.parametrize(
"words,heads,deps,pos,chunk_offsets",
[
# determiner + noun
# un nom -> un nom
(
["un", "nom"],
[1, 1],
["det", "ROOT"],
["DET", "NOUN"],
[(0, 2)... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/pt/test_text.py | spacy/tests/lang/pt/test_text.py | import pytest
from spacy.lang.pt.lex_attrs import like_num
@pytest.mark.parametrize("word", ["onze", "quadragésimo"])
def test_pt_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/pt/__init__.py | spacy/tests/lang/pt/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/pt/test_noun_chunks.py | spacy/tests/lang/pt/test_noun_chunks.py | import pytest
from spacy.tokens import Doc
# fmt: off
@pytest.mark.parametrize(
"words,heads,deps,pos,chunk_offsets",
[
# determiner + noun
# um cachorro -> um cachorro
(
["um", "cachorro"],
[1, 1],
["det", "ROOT"],
["DET", "NOUN"],
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/it/test_stopwords.py | spacy/tests/lang/it/test_stopwords.py | import pytest
@pytest.mark.parametrize(
"word", ["un", "lo", "dell", "dall", "si", "ti", "mi", "quest", "quel", "quello"]
)
def test_stopwords_basic(it_tokenizer, word):
tok = it_tokenizer(word)[0]
assert tok.is_stop
@pytest.mark.parametrize(
"word", ["quest'uomo", "l'ho", "un'amica", "dell'olio", "... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
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