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/lang/lg/examples.py | spacy/lang/lg/examples.py | """
Example sentences to test spaCy and its language models.
>>> from spacy.lang.lg.examples import sentences
>>> docs = nlp.pipe(sentences)
"""
sentences = [
"Mpa ebyafaayo ku byalo Nakatu ne Nkajja",
"Okuyita Ttembo kitegeeza kugwa ddalu",
"Ekifumu kino kyali kya mulimu ki?",
"Ekkovu we liyise wayit... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/lg/lex_attrs.py | spacy/lang/lg/lex_attrs.py | from ...attrs import LIKE_NUM
_num_words = [
"nnooti", # Zero
"zeero", # zero
"emu", # one
"bbiri", # two
"ssatu", # three
"nnya", # four
"ttaano", # five
"mukaaga", # six
"musanvu", # seven
"munaana", # eight
"mwenda", # nine
"kkumi", # ten
"kkumi n'emu"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/lg/stop_words.py | spacy/lang/lg/stop_words.py | STOP_WORDS = set(
"""
abadde abalala abamu abangi abava ajja ali alina ani anti ateekeddwa atewamu
atya awamu aweebwa ayinza ba baali babadde babalina bajja
bajjanewankubade bali balina bandi bangi bano bateekeddwa baweebwa bayina bebombi beera bibye
bimu bingi bino bo bokka bonna buli bulijjo bulungi bwabwe bwaffe... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/tokenizer_exceptions.py | spacy/lang/es/tokenizer_exceptions.py | from ...symbols import NORM, ORTH
from ...util import update_exc
from ..tokenizer_exceptions import BASE_EXCEPTIONS
_exc = {
"pal": [{ORTH: "pa"}, {ORTH: "l", NORM: "el"}],
}
for exc_data in [
{ORTH: "n°"},
{ORTH: "°C"},
{ORTH: "aprox."},
{ORTH: "dna."},
{ORTH: "dpto."},
{ORTH: "ej."},
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/lemmatizer.py | spacy/lang/es/lemmatizer.py | import re
from typing import List, Optional, Tuple
from ...pipeline import Lemmatizer
from ...tokens import Token
class SpanishLemmatizer(Lemmatizer):
"""
Spanish rule-based lemmatizer with morph-based rule selection.
"""
@classmethod
def get_lookups_config(cls, mode: str) -> Tuple[List[str], Li... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/__init__.py | spacy/lang/es/__init__.py | from typing import Callable, Optional
from thinc.api import Model
from ...language import BaseDefaults, Language
from .lemmatizer import SpanishLemmatizer
from .lex_attrs import LEX_ATTRS
from .punctuation import TOKENIZER_INFIXES, TOKENIZER_SUFFIXES
from .stop_words import STOP_WORDS
from .syntax_iterators import SY... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/punctuation.py | spacy/lang/es/punctuation.py | from ..char_classes import (
ALPHA,
ALPHA_LOWER,
ALPHA_UPPER,
CONCAT_QUOTES,
CURRENCY,
LIST_ELLIPSES,
LIST_ICONS,
LIST_PUNCT,
LIST_QUOTES,
LIST_UNITS,
PUNCT,
merge_chars,
)
_list_units = [u for u in LIST_UNITS if u != "%"]
_units = merge_chars(" ".join(_list_units))
_con... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/syntax_iterators.py | spacy/lang/es/syntax_iterators.py | from typing import Iterator, Tuple, Union
from ...errors import Errors
from ...symbols import NOUN, PRON, PROPN
from ...tokens import Doc, Span
def noun_chunks(doclike: Union[Doc, Span]) -> Iterator[Tuple[int, int, int]]:
"""
Detect base noun phrases from a dependency parse. Works on both Doc and Span.
"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/examples.py | spacy/lang/es/examples.py | """
Example sentences to test spaCy and its language models.
>>> from spacy.lang.es.examples import sentences
>>> docs = nlp.pipe(sentences)
"""
sentences = [
"Apple está buscando comprar una startup del Reino Unido por mil millones de dólares.",
"Los coches autónomos delegan la responsabilidad del seguro en ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/lex_attrs.py | spacy/lang/es/lex_attrs.py | from ...attrs import LIKE_NUM
_num_words = [
"cero",
"uno",
"dos",
"tres",
"cuatro",
"cinco",
"seis",
"siete",
"ocho",
"nueve",
"diez",
"once",
"doce",
"trece",
"catorce",
"quince",
"dieciséis",
"diecisiete",
"dieciocho",
"diecinueve",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/es/stop_words.py | spacy/lang/es/stop_words.py | STOP_WORDS = set(
"""
a acuerdo adelante ademas además afirmó agregó ahi ahora ahí al algo alguna
algunas alguno algunos algún alli allí alrededor ambos ante anterior antes
apenas aproximadamente aquel aquella aquellas aquello aquellos aqui aquél
aquélla aquéllas aquéllos aquí arriba aseguró asi así atras aun aunqu... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tl/tokenizer_exceptions.py | spacy/lang/tl/tokenizer_exceptions.py | from ...symbols import NORM, ORTH
from ...util import update_exc
from ..tokenizer_exceptions import BASE_EXCEPTIONS
_exc = {
"tayo'y": [{ORTH: "tayo"}, {ORTH: "'y", NORM: "ay"}],
"isa'y": [{ORTH: "isa"}, {ORTH: "'y", NORM: "ay"}],
"baya'y": [{ORTH: "baya"}, {ORTH: "'y", NORM: "ay"}],
"sa'yo": [{ORTH: "... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tl/__init__.py | spacy/lang/tl/__init__.py | from ...language import BaseDefaults, Language
from .lex_attrs import LEX_ATTRS
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
class TagalogDefaults(BaseDefaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
lex_attr_getters = LEX_ATTRS
stop_words = STOP_WORDS
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tl/lex_attrs.py | spacy/lang/tl/lex_attrs.py | from ...attrs import LIKE_NUM
_num_words = [
"sero",
"isa",
"dalawa",
"tatlo",
"apat",
"lima",
"anim",
"pito",
"walo",
"siyam",
"sampu",
"labing-isa",
"labindalawa",
"labintatlo",
"labing-apat",
"labinlima",
"labing-anim",
"labimpito",
"labing... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tl/stop_words.py | spacy/lang/tl/stop_words.py | STOP_WORDS = set(
"""
akin
aking
ako
alin
am
amin
aming
ang
ano
anumang
apat
at
atin
ating
ay
bababa
bago
bakit
bawat
bilang
dahil
dalawa
dapat
din
dito
doon
gagawin
gayunman
ginagawa
ginawa
ginawang
gumawa
gusto
habang
hanggang
hindi
huwag
iba
ibaba
ibabaw
ibig
ikaw
ilagay
ilalim
ilan
inyong
isa
isang
itaas
ito
iy... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/lv/__init__.py | spacy/lang/lv/__init__.py | from ...language import BaseDefaults, Language
from .stop_words import STOP_WORDS
class LatvianDefaults(BaseDefaults):
stop_words = STOP_WORDS
class Latvian(Language):
lang = "lv"
Defaults = LatvianDefaults
__all__ = ["Latvian"]
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/lv/stop_words.py | spacy/lang/lv/stop_words.py | # Source: https://github.com/stopwords-iso/stopwords-lv
STOP_WORDS = set(
"""
aiz
ap
apakš
apakšpus
ar
arī
augšpus
bet
bez
bija
biji
biju
bijām
bijāt
būs
būsi
būsiet
būsim
būt
būšu
caur
diemžēl
diezin
droši
dēļ
esam
esat
esi
esmu
gan
gar
iekam
iekams
iekām
iekāms
iekš
iekšpus
ik
ir
it
itin
iz
ja
jau
jeb
jebšu
jel
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/da/tokenizer_exceptions.py | spacy/lang/da/tokenizer_exceptions.py | """
Tokenizer Exceptions.
Source: https://forkortelse.dk/ and various others.
"""
from ...symbols import NORM, ORTH
from ...util import update_exc
from ..tokenizer_exceptions import BASE_EXCEPTIONS
_exc = {}
# Abbreviations for weekdays "søn." (for "søndag") as well as "Tor." and "Tors."
# (for "torsdag") are left o... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/da/__init__.py | spacy/lang/da/__init__.py | from ...language import BaseDefaults, Language
from .lex_attrs import LEX_ATTRS
from .punctuation import TOKENIZER_INFIXES, TOKENIZER_SUFFIXES
from .stop_words import STOP_WORDS
from .syntax_iterators import SYNTAX_ITERATORS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
class DanishDefaults(BaseDefaults):
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/da/punctuation.py | spacy/lang/da/punctuation.py | from ..char_classes import (
ALPHA,
ALPHA_LOWER,
ALPHA_UPPER,
CONCAT_QUOTES,
LIST_ELLIPSES,
LIST_ICONS,
)
from ..punctuation import TOKENIZER_SUFFIXES
_quotes = CONCAT_QUOTES.replace("'", "")
_infixes = (
LIST_ELLIPSES
+ LIST_ICONS
+ [
r"(?<=[{al}])\.(?=[{au}])".format(al=A... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/da/syntax_iterators.py | spacy/lang/da/syntax_iterators.py | from typing import Iterator, Tuple, Union
from ...errors import Errors
from ...symbols import AUX, NOUN, PRON, PROPN, VERB
from ...tokens import Doc, Span
def noun_chunks(doclike: Union[Doc, Span]) -> Iterator[Tuple[int, int, int]]:
def is_verb_token(tok):
return tok.pos in [VERB, AUX]
def get_left_... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/da/examples.py | spacy/lang/da/examples.py | """
Example sentences to test spaCy and its language models.
>>> from spacy.lang.da.examples import sentences
>>> docs = nlp.pipe(sentences)
"""
sentences = [
"Apple overvejer at købe et britisk startup for 1 milliard dollar.",
"Selvkørende biler flytter forsikringsansvaret over på producenterne.",
"San F... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/da/lex_attrs.py | spacy/lang/da/lex_attrs.py | from ...attrs import LIKE_NUM
# Source http://fjern-uv.dk/tal.php
_num_words = """nul
en et to tre fire fem seks syv otte ni ti
elleve tolv tretten fjorten femten seksten sytten atten nitten tyve
enogtyve toogtyve treogtyve fireogtyve femogtyve seksogtyve syvogtyve otteogtyve niogtyve tredive
enogtredive toogtredive t... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/da/stop_words.py | spacy/lang/da/stop_words.py | # Source: Handpicked by Jens Dahl Møllerhøj.
STOP_WORDS = set(
"""
af aldrig alene alle allerede alligevel alt altid anden andet andre at
bag begge blandt blev blive bliver burde bør
da de dem den denne dens der derefter deres derfor derfra deri dermed derpå derved det dette dig din dine disse dog du
efter egen... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tt/tokenizer_exceptions.py | spacy/lang/tt/tokenizer_exceptions.py | from ...symbols import NORM, ORTH
from ...util import update_exc
from ..tokenizer_exceptions import BASE_EXCEPTIONS
_exc = {}
_abbrev_exc = [
# Weekdays abbreviations
{ORTH: "дш", NORM: "дүшәмбе"},
{ORTH: "сш", NORM: "сишәмбе"},
{ORTH: "чш", NORM: "чәршәмбе"},
{ORTH: "пш", NORM: "пәнҗешәмбе"},
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tt/__init__.py | spacy/lang/tt/__init__.py | from ...language import BaseDefaults, Language
from .lex_attrs import LEX_ATTRS
from .punctuation import TOKENIZER_INFIXES
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
class TatarDefaults(BaseDefaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
infixes = TOKENIZE... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tt/punctuation.py | spacy/lang/tt/punctuation.py | from ..char_classes import (
ALPHA,
ALPHA_LOWER,
ALPHA_UPPER,
CONCAT_QUOTES,
HYPHENS,
LIST_ELLIPSES,
LIST_ICONS,
)
_hyphens_no_dash = HYPHENS.replace("-", "").strip("|").replace("||", "")
_infixes = (
LIST_ELLIPSES
+ LIST_ICONS
+ [
r"(?<=[{al}])\.(?=[{au}])".format(al=AL... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tt/examples.py | spacy/lang/tt/examples.py | """
Example sentences to test spaCy and its language models.
>>> from spacy.lang.tt.examples import sentences
>>> docs = nlp.pipe(sentences)
"""
sentences = [
"Apple Бөекбритания стартабын $1 миллиард өчен сатып алыун исәпли.",
"Автоном автомобильләр иминият җаваплылыкны җитештерүчеләргә күчерә.",
"Сан-Фра... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tt/lex_attrs.py | spacy/lang/tt/lex_attrs.py | from ...attrs import LIKE_NUM
_num_words = [
"нуль",
"ноль",
"бер",
"ике",
"өч",
"дүрт",
"биш",
"алты",
"җиде",
"сигез",
"тугыз",
"ун",
"унбер",
"унике",
"унөч",
"ундүрт",
"унбиш",
"уналты",
"унҗиде",
"унсигез",
"унтугыз",
"егерме"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/tt/stop_words.py | spacy/lang/tt/stop_words.py | # Tatar stopwords are from https://github.com/aliiae/stopwords-tt
STOP_WORDS = set(
"""алай алайса алар аларга аларда алардан аларны аларның аларча
алары аларын аларынга аларында аларыннан аларының алтмыш алтмышынчы алтмышынчыга
алтмышынчыда алтмышынчыдан алтмышынчылар алтмышынчыларга алтмышынчыларда
алтмышынчылар... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/sl/tokenizer_exceptions.py | spacy/lang/sl/tokenizer_exceptions.py | from typing import Dict, List
from ...symbols import NORM, ORTH
from ...util import update_exc
from ..tokenizer_exceptions import BASE_EXCEPTIONS
_exc: Dict[str, List[Dict]] = {}
_other_exc = {
"t.i.": [{ORTH: "t.", NORM: "tako"}, {ORTH: "i.", NORM: "imenovano"}],
"t.j.": [{ORTH: "t.", NORM: "to"}, {ORTH: "j... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/sl/__init__.py | spacy/lang/sl/__init__.py | from ...language import BaseDefaults, Language
from .lex_attrs import LEX_ATTRS
from .punctuation import TOKENIZER_INFIXES, TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
class SlovenianDefaults(BaseDefaults):
stop_words = STOP_WORD... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/sl/punctuation.py | spacy/lang/sl/punctuation.py | from ..char_classes import (
ALPHA,
ALPHA_LOWER,
ALPHA_UPPER,
CONCAT_QUOTES,
CURRENCY,
HYPHENS,
LIST_CURRENCY,
LIST_ELLIPSES,
LIST_ICONS,
LIST_PUNCT,
LIST_QUOTES,
PUNCT,
UNITS,
merge_chars,
)
from ..punctuation import TOKENIZER_PREFIXES as BASE_TOKENIZER_PREFIXES
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/sl/examples.py | spacy/lang/sl/examples.py | """
Example sentences to test spaCy and its language models.
>>> from spacy.lang.sl.examples import sentences
>>> docs = nlp.pipe(sentences)
"""
sentences = [
"Apple načrtuje nakup britanskega startupa za 1 bilijon dolarjev",
"France Prešeren je umrl 8. februarja 1849 v Kranju",
"Staro ljubljansko letališ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/sl/lex_attrs.py | spacy/lang/sl/lex_attrs.py | import unicodedata
from ...attrs import IS_CURRENCY, LIKE_NUM
_num_words = set(
"""
nula ničla nič ena dva tri štiri pet šest sedem osem
devet deset enajst dvanajst trinajst štirinajst petnajst
šestnajst sedemnajst osemnajst devetnajst dvajset trideset štirideset
petdeset šestdest sedemdeset osemdeset devedes... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/sl/stop_words.py | spacy/lang/sl/stop_words.py | # Source: https://github.com/stopwords-iso/stopwords-sl
STOP_WORDS = set(
"""
a ali
b bi bil bila bile bili bilo biti blizu bo bodo bojo bolj bom bomo
boste bova boš brez
c cel cela celi celo
č če često četrta četrtek četrti četrto čez čigav
d da daleč dan danes datum deset deseta deseti deseto devet
deveta ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/et/__init__.py | spacy/lang/et/__init__.py | from ...language import BaseDefaults, Language
from .stop_words import STOP_WORDS
class EstonianDefaults(BaseDefaults):
stop_words = STOP_WORDS
class Estonian(Language):
lang = "et"
Defaults = EstonianDefaults
__all__ = ["Estonian"]
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/lang/et/stop_words.py | spacy/lang/et/stop_words.py | # Source: https://github.com/stopwords-iso/stopwords-et
STOP_WORDS = set(
"""
aga
ei
et
ja
jah
kas
kui
kõik
ma
me
mida
midagi
mind
minu
mis
mu
mul
mulle
nad
nii
oled
olen
oli
oma
on
pole
sa
seda
see
selle
siin
siis
ta
te
ära
""".split()
)
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/displacy/render.py | spacy/displacy/render.py | import uuid
from typing import Any, Dict, List, Optional, Tuple, Union
from ..errors import Errors
from ..util import escape_html, minify_html, registry
from .templates import (
TPL_DEP_ARCS,
TPL_DEP_SVG,
TPL_DEP_WORDS,
TPL_DEP_WORDS_LEMMA,
TPL_ENT,
TPL_ENT_RTL,
TPL_ENTS,
TPL_FIGURE,
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/displacy/templates.py | spacy/displacy/templates.py | # Setting explicit height and max-width: none on the SVG is required for
# Jupyter to render it properly in a cell
TPL_DEP_SVG = """
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="{lang}" id="{id}" class="displacy" width="{width}" height="{height}" direction="{dir}" style=... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/displacy/__init__.py | spacy/displacy/__init__.py | """
spaCy's built in visualization suite for dependencies and named entities.
DOCS: https://spacy.io/api/top-level#displacy
USAGE: https://spacy.io/usage/visualizers
"""
import warnings
from typing import Any, Callable, Dict, Iterable, Optional, Union
from ..errors import Errors, Warnings
from ..tokens import Doc, S... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tok2vec.py | spacy/tests/tok2vec.py | from typing import List
from thinc.api import Model
from thinc.types import Floats2d
from spacy.tokens import Doc
from spacy.util import registry
@registry.architectures("test.LazyInitTok2Vec.v1")
def build_lazy_init_tok2vec(*, width: int) -> Model[List[Doc], List[Floats2d]]:
"""tok2vec model of which the outpu... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_pickles.py | spacy/tests/test_pickles.py | import numpy
import pytest
import srsly
from spacy.attrs import NORM
from spacy.lang.en import English
from spacy.strings import StringStore
from spacy.tokens import Doc
from spacy.vocab import Vocab
@pytest.mark.parametrize("text1,text2", [("hello", "bye")])
def test_pickle_string_store(text1, text2):
stringsto... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_errors.py | spacy/tests/test_errors.py | from inspect import isclass
import pytest
from spacy.errors import ErrorsWithCodes
class Errors(metaclass=ErrorsWithCodes):
E001 = "error description"
def test_add_codes():
assert Errors.E001 == "[E001] error description"
with pytest.raises(AttributeError):
Errors.E002
assert isclass(Error... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/util.py | spacy/tests/util.py | import contextlib
import re
import tempfile
import numpy
import srsly
from thinc.api import get_current_ops
from spacy.tokens import Doc
from spacy.training import split_bilu_label
from spacy.util import make_tempdir # noqa: F401
from spacy.vocab import Vocab
@contextlib.contextmanager
def make_tempfile(mode="r"):... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/enable_gpu.py | spacy/tests/enable_gpu.py | from spacy import require_gpu
require_gpu()
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_displacy.py | spacy/tests/test_displacy.py | import numpy
import pytest
from spacy import displacy
from spacy.displacy.render import DependencyRenderer, EntityRenderer, SpanRenderer
from spacy.lang.en import English
from spacy.lang.fa import Persian
from spacy.tokens import Doc, Span
@pytest.mark.issue(2361)
def test_issue2361(de_vocab):
"""Test if < is es... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_cli.py | spacy/tests/test_cli.py | import math
import os
from collections import Counter
from pathlib import Path
from typing import Any, Dict, List, Tuple
import pytest
import srsly
from click import NoSuchOption
from packaging.specifiers import SpecifierSet
from thinc.api import Config
import spacy
from spacy import about
from spacy.cli import downl... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | true |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_ty.py | spacy/tests/test_ty.py | import spacy
from spacy import ty
def test_component_types():
nlp = spacy.blank("en")
tok2vec = nlp.create_pipe("tok2vec")
tagger = nlp.create_pipe("tagger")
entity_ruler = nlp.create_pipe("entity_ruler")
assert isinstance(tok2vec, ty.TrainableComponent)
assert isinstance(tagger, ty.TrainableC... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_models.py | spacy/tests/test_models.py | from typing import List
import numpy
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from thinc.api import (
Adam,
Logistic,
Ragged,
Relu,
chain,
fix_random_seed,
reduce_mean,
set_dropout_rate,
)
from spacy.lang.en import English
from spacy.lang.en... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/conftest.py | spacy/tests/conftest.py | import pytest
from hypothesis import settings
from spacy.util import get_lang_class
# Functionally disable deadline settings for tests
# to prevent spurious test failures in CI builds.
settings.register_profile("no_deadlines", deadline=2 * 60 * 1000) # in ms
settings.load_profile("no_deadlines")
def pytest_addopti... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_cli_app.py | spacy/tests/test_cli_app.py | import os
import sys
from pathlib import Path
import pytest
import srsly
from typer.testing import CliRunner
from spacy.cli._util import app, get_git_version
from spacy.tokens import Doc, DocBin, Span
from .util import make_tempdir, normalize_whitespace
def has_git():
try:
get_git_version()
ret... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_registry_population.py | spacy/tests/test_registry_population.py | import json
import os
from pathlib import Path
import pytest
from spacy.util import registry
# Path to the reference registry contents, relative to this file
REFERENCE_FILE = Path(__file__).parent / "registry_contents.json"
@pytest.fixture
def reference_registry():
"""Load reference registry contents from JSON... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_factory_imports.py | spacy/tests/test_factory_imports.py | # coding: utf-8
"""Test factory import compatibility from original and new locations."""
import importlib
import pytest
@pytest.mark.parametrize(
"factory_name,original_module,compat_module",
[
("make_tagger", "spacy.pipeline.factories", "spacy.pipeline.tagger"),
("make_sentencizer", "spacy.... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/__init__.py | spacy/tests/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_scorer.py | spacy/tests/test_scorer.py | import pytest
from numpy.testing import assert_almost_equal, assert_array_almost_equal
from pytest import approx
from spacy.lang.en import English
from spacy.scorer import PRFScore, ROCAUCScore, Scorer, _roc_auc_score, _roc_curve
from spacy.tokens import Doc, Span
from spacy.training import Example
from spacy.training... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_misc.py | spacy/tests/test_misc.py | import ctypes
import os
from pathlib import Path
import pytest
try:
from pydantic.v1 import ValidationError
except ImportError:
from pydantic import ValidationError # type: ignore
from thinc.api import (
Config,
ConfigValidationError,
CupyOps,
MPSOps,
NumpyOps,
Optimizer,
get_cur... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_architectures.py | spacy/tests/test_architectures.py | import pytest
from catalogue import RegistryError
from thinc.api import Linear
from spacy import registry
def test_get_architecture():
@registry.architectures("my_test_function")
def create_model(nr_in, nr_out):
return Linear(nr_in, nr_out)
arch = registry.architectures.get("my_test_function")
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_factory_registrations.py | spacy/tests/test_factory_registrations.py | import inspect
import json
from pathlib import Path
import pytest
from spacy.language import Language
from spacy.util import registry
# Path to the reference factory registrations, relative to this file
REFERENCE_FILE = Path(__file__).parent / "factory_registrations.json"
# Monkey patch the util.is_same_func to han... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/test_language.py | spacy/tests/test_language.py | import itertools
import logging
import warnings
from unittest import mock
import pytest
from thinc.api import CupyOps, NumpyOps, get_current_ops
import spacy
from spacy.lang.de import German
from spacy.lang.en import English
from spacy.language import Language
from spacy.scorer import Scorer
from spacy.tokens import ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/matcher/test_dependency_matcher.py | spacy/tests/matcher/test_dependency_matcher.py | import copy
import pickle
import re
import pytest
from mock import Mock
from spacy.matcher import DependencyMatcher
from spacy.tokens import Doc, Token
from ..doc.test_underscore import clean_underscore # noqa: F401
@pytest.fixture
def doc(en_vocab):
words = ["The", "quick", "brown", "fox", "jumped", "over", ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/matcher/test_levenshtein.py | spacy/tests/matcher/test_levenshtein.py | import pytest
from spacy.matcher import levenshtein
from spacy.matcher.levenshtein import levenshtein_compare
# empty string plus 10 random ASCII, 10 random unicode, and 2 random long tests
# from polyleven
@pytest.mark.parametrize(
"dist,a,b",
[
(0, "", ""),
(4, "bbcb", "caba"),
(3, ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/matcher/test_pattern_validation.py | spacy/tests/matcher/test_pattern_validation.py | import pytest
from spacy.errors import MatchPatternError
from spacy.matcher import Matcher
from spacy.schemas import validate_token_pattern
# (pattern, num errors with validation, num errors identified with minimal
# checks)
TEST_PATTERNS = [
# Bad patterns flagged in all cases
([{"XX": "foo"}], 1, 1),
(... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/matcher/test_matcher_api.py | spacy/tests/matcher/test_matcher_api.py | import pytest
from mock import Mock
from spacy.matcher import Matcher
from spacy.tokens import Doc, Span, Token
from ..doc.test_underscore import clean_underscore # noqa: F401
@pytest.fixture
def matcher(en_vocab):
rules = {
"JS": [[{"ORTH": "JavaScript"}]],
"GoogleNow": [[{"ORTH": "Google"}, {... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/matcher/test_matcher_logic.py | spacy/tests/matcher/test_matcher_logic.py | import re
import pytest
from spacy.attrs import IS_PUNCT, LOWER, ORTH
from spacy.errors import MatchPatternError
from spacy.lang.en import English
from spacy.lang.lex_attrs import LEX_ATTRS
from spacy.matcher import Matcher
from spacy.tokens import Doc, Span, Token
from spacy.vocab import Vocab
pattern1 = [{"ORTH": ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/matcher/__init__.py | spacy/tests/matcher/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/matcher/test_phrase_matcher.py | spacy/tests/matcher/test_phrase_matcher.py | import warnings
import pytest
import srsly
from mock import Mock
from spacy.lang.en import English
from spacy.matcher import Matcher, PhraseMatcher
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from ..util import make_tempdir
@pytest.mark.issue(3248)
def test_issue3248_1():
"""Test that the ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_pipeline.py | spacy/tests/serialize/test_serialize_pipeline.py | import pickle
import pytest
import srsly
from thinc.api import Linear
import spacy
from spacy import Vocab, load, registry
from spacy.lang.en import English
from spacy.language import Language
from spacy.pipeline import (
DependencyParser,
EntityRecognizer,
EntityRuler,
SentenceRecognizer,
Tagger,... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_doc.py | spacy/tests/serialize/test_serialize_doc.py | import copy
import pickle
import numpy
import pytest
from spacy.attrs import DEP, HEAD
from spacy.lang.en import English
from spacy.language import Language
from spacy.matcher import Matcher, PhraseMatcher
from spacy.tokens import Doc
from spacy.vectors import Vectors
from spacy.vocab import Vocab
from ..util import... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_vocab_strings.py | spacy/tests/serialize/test_serialize_vocab_strings.py | import pickle
import pytest
from thinc.api import get_current_ops
import spacy
from spacy.lang.en import English
from spacy.strings import StringStore
from spacy.tokens import Doc
from spacy.util import ensure_path, load_model
from spacy.vectors import Vectors
from spacy.vocab import Vocab
from ..util import make_te... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_span_groups.py | spacy/tests/serialize/test_serialize_span_groups.py | import pytest
from spacy.tokens import Span, SpanGroup
from spacy.tokens._dict_proxies import SpanGroups
@pytest.mark.issue(10685)
def test_issue10685(en_tokenizer):
"""Test `SpanGroups` de/serialization"""
# Start with a Doc with no SpanGroups
doc = en_tokenizer("Will it blend?")
# Test empty `Span... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_resource_warning.py | spacy/tests/serialize/test_resource_warning.py | import warnings
from unittest import TestCase
import pytest
import srsly
from numpy import zeros
from spacy.kb.kb_in_memory import InMemoryLookupKB, Writer
from spacy.language import Language
from spacy.pipeline import TrainablePipe
from spacy.vectors import Vectors
from spacy.vocab import Vocab
from ..util import m... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/__init__.py | spacy/tests/serialize/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_docbin.py | spacy/tests/serialize/test_serialize_docbin.py | import pytest
import spacy
from spacy.lang.en import English
from spacy.tokens import Doc, DocBin
from spacy.tokens.underscore import Underscore
@pytest.mark.issue(4367)
def test_issue4367():
"""Test that docbin init goes well"""
DocBin()
DocBin(attrs=["LEMMA"])
DocBin(attrs=["LEMMA", "ENT_IOB", "ENT... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_tokenizer.py | spacy/tests/serialize/test_serialize_tokenizer.py | import pickle
import re
import pytest
from spacy.attrs import ENT_IOB, ENT_TYPE
from spacy.lang.en import English
from spacy.tokenizer import Tokenizer
from spacy.tokens import Doc
from spacy.util import (
compile_infix_regex,
compile_prefix_regex,
compile_suffix_regex,
get_lang_class,
load_model,... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_language.py | spacy/tests/serialize/test_serialize_language.py | import pickle
import re
import pytest
from spacy.lang.en import English
from spacy.lang.it import Italian
from spacy.language import Language
from spacy.tokenizer import Tokenizer
from spacy.training import Example
from spacy.util import load_config_from_str
from ..util import make_tempdir
@pytest.fixture
def meta... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_config.py | spacy/tests/serialize/test_serialize_config.py | import pytest
from catalogue import RegistryError
from thinc.api import Config, ConfigValidationError
import spacy
from spacy.lang.de import German
from spacy.lang.en import English
from spacy.language import DEFAULT_CONFIG, DEFAULT_CONFIG_PRETRAIN_PATH, Language
from spacy.ml.models import (
MaxoutWindowEncoder,
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_extension_attrs.py | spacy/tests/serialize/test_serialize_extension_attrs.py | import pytest
from spacy.tokens import Doc, Token
from spacy.vocab import Vocab
@pytest.fixture
def doc_w_attrs(en_tokenizer):
Doc.set_extension("_test_attr", default=False)
Doc.set_extension("_test_prop", getter=lambda doc: len(doc.text))
Doc.set_extension("_test_method", method=lambda doc, arg: f"{len(... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/serialize/test_serialize_kb.py | spacy/tests/serialize/test_serialize_kb.py | from pathlib import Path
from typing import Any, Callable, Dict, Iterable
import srsly
from numpy import zeros
from thinc.api import Config
from spacy import Errors, util
from spacy.kb.kb_in_memory import InMemoryLookupKB
from spacy.util import SimpleFrozenList, ensure_path, load_model_from_config, registry
from spac... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/test_initialize.py | spacy/tests/lang/test_initialize.py | import pytest
from spacy.util import get_lang_class
# fmt: off
# Only include languages with no external dependencies
# excluded: ja, ko, th, vi, zh
LANGUAGES = ["af", "am", "ar", "az", "bg", "bn", "ca", "cs", "da", "de", "el",
"en", "es", "et", "eu", "fa", "fi", "fr", "ga", "gu", "he", "hi",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/test_lemmatizers.py | spacy/tests/lang/test_lemmatizers.py | import pytest
from spacy import registry
from spacy.lookups import Lookups
from spacy.util import get_lang_class
# fmt: off
# Only include languages with no external dependencies
# excluded: ru, uk
# excluded for custom tables: es, pl
LANGUAGES = ["bn", "ca", "el", "en", "fa", "fr", "nb", "nl", "sv"]
# fmt: on
@pyt... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/__init__.py | spacy/tests/lang/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/test_attrs.py | spacy/tests/lang/test_attrs.py | import pytest
from spacy.attrs import ENT_IOB, IS_ALPHA, LEMMA, NORM, ORTH, intify_attrs
from spacy.lang.en.stop_words import STOP_WORDS
from spacy.lang.lex_attrs import (
is_ascii,
is_currency,
is_punct,
is_stop,
like_url,
word_shape,
)
@pytest.mark.parametrize("word", ["the"])
@pytest.mark.... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ml/test_text.py | spacy/tests/lang/ml/test_text.py | import pytest
def test_ml_tokenizer_handles_long_text(ml_tokenizer):
text = """അനാവശ്യമായി കണ്ണിലും മൂക്കിലും വായിലും സ്പർശിക്കാതിരിക്കുക"""
tokens = ml_tokenizer(text)
assert len(tokens) == 5
@pytest.mark.parametrize(
"text,length",
[
(
"എന്നാൽ അച്ചടിയുടെ ആവിർഭാവം ലിപിയിൽ കാ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ml/__init__.py | spacy/tests/lang/ml/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ur/test_prefix_suffix_infix.py | spacy/tests/lang/ur/test_prefix_suffix_infix.py | import pytest
@pytest.mark.parametrize("text", ["ہےں۔", "کیا۔"])
def test_contractions(ur_tokenizer, text):
"""Test specific Urdu punctuation character"""
tokens = ur_tokenizer(text)
assert len(tokens) == 2
| python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ur/test_text.py | spacy/tests/lang/ur/test_text.py | import pytest
def test_ur_tokenizer_handles_long_text(ur_tokenizer):
text = """اصل میں، رسوا ہونے کی ہمیں کچھ عادت سی ہو گئی ہے۔"""
tokens = ur_tokenizer(text)
assert len(tokens) == 14
@pytest.mark.parametrize("text,length", [("تحریر باسط حبیب", 3), ("میرا پاکستان", 2)])
def test_ur_tokenizer_handles_cn... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ur/__init__.py | spacy/tests/lang/ur/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/de/test_parser.py | spacy/tests/lang/de/test_parser.py | from spacy.tokens import Doc
def test_de_parser_noun_chunks_standard_de(de_vocab):
words = ["Eine", "Tasse", "steht", "auf", "dem", "Tisch", "."]
heads = [1, 2, 2, 2, 5, 3, 2]
pos = ["DET", "NOUN", "VERB", "ADP", "DET", "NOUN", "PUNCT"]
deps = ["nk", "sb", "ROOT", "mo", "nk", "nk", "punct"]
doc = ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/de/test_prefix_suffix_infix.py | spacy/tests/lang/de/test_prefix_suffix_infix.py | import pytest
@pytest.mark.parametrize("text", ["(unter)"])
def test_de_tokenizer_splits_no_special(de_tokenizer, text):
tokens = de_tokenizer(text)
assert len(tokens) == 3
@pytest.mark.parametrize("text", ["unter'm"])
def test_de_tokenizer_splits_no_punct(de_tokenizer, text):
tokens = de_tokenizer(text... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/de/test_text.py | spacy/tests/lang/de/test_text.py | import pytest
def test_de_tokenizer_handles_long_text(de_tokenizer):
text = """Die Verwandlung
Als Gregor Samsa eines Morgens aus unruhigen Träumen erwachte, fand er sich in
seinem Bett zu einem ungeheueren Ungeziefer verwandelt.
Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig
ho... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/de/__init__.py | spacy/tests/lang/de/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/de/test_exceptions.py | spacy/tests/lang/de/test_exceptions.py | import pytest
@pytest.mark.parametrize("text", ["auf'm", "du's", "über'm", "wir's"])
def test_de_tokenizer_splits_contractions(de_tokenizer, text):
tokens = de_tokenizer(text)
assert len(tokens) == 2
@pytest.mark.parametrize("text", ["z.B.", "d.h.", "Jan.", "Dez.", "Chr."])
def test_de_tokenizer_handles_abb... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/de/test_noun_chunks.py | spacy/tests/lang/de/test_noun_chunks.py | import pytest
def test_noun_chunks_is_parsed_de(de_tokenizer):
"""Test that noun_chunks raises Value Error for 'de' language if Doc is not parsed."""
doc = de_tokenizer("Er lag auf seinem")
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/sk/test_text.py | spacy/tests/lang/sk/test_text.py | import pytest
def test_long_text(sk_tokenizer):
# Excerpt: European Convention on Human Rights
text = """
majúc na zreteli, že cieľom tejto deklarácie je zabezpečiť všeobecné
a účinné uznávanie a dodržiavanie práv v nej vyhlásených;
majúc na zreteli, že cieľom Rady Európy je dosiahnutie väčšej
jednoty medzi j... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sk/__init__.py | spacy/tests/lang/sk/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sk/test_tokenizer.py | spacy/tests/lang/sk/test_tokenizer.py | import pytest
SK_BASIC_TOKENIZATION_TESTS = [
(
"Kedy sa narodil Andrej Kiska?",
["Kedy", "sa", "narodil", "Andrej", "Kiska", "?"],
),
]
@pytest.mark.parametrize("text,expected_tokens", SK_BASIC_TOKENIZATION_TESTS)
def test_sk_tokenizer_basic(sk_tokenizer, text, expected_tokens):
tokens =... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/bn/__init__.py | spacy/tests/lang/bn/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/bn/test_tokenizer.py | spacy/tests/lang/bn/test_tokenizer.py | import pytest
# fmt: off
TESTCASES = [
# Punctuation tests
("আমি বাংলায় গান গাই!", ["আমি", "বাংলায়", "গান", "গাই", "!"]),
("আমি বাংলায় কথা কই।", ["আমি", "বাংলায়", "কথা", "কই", "।"]),
("বসুন্ধরা জনসম্মুখে দোষ স্বীকার করলো না?", ["বসুন্ধরা", "জনসম্মুখে", "দোষ", "স্বীকার", "করলো", "না", "?"]),
("ট... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/ms/test_prefix_suffix_infix.py | spacy/tests/lang/ms/test_prefix_suffix_infix.py | import pytest
@pytest.mark.parametrize("text", ["(Ma'arif)"])
def test_ms_tokenizer_splits_no_special(id_tokenizer, text):
tokens = id_tokenizer(text)
assert len(tokens) == 3
@pytest.mark.parametrize("text", ["Ma'arif"])
def test_ms_tokenizer_splits_no_punct(id_tokenizer, text):
tokens = id_tokenizer(te... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
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