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/lv/test_tokenizer.py | spacy/tests/lang/lv/test_tokenizer.py | import pytest
LV_BASIC_TOKENIZATION_TESTS = [
(
"Nevienu nedrīkst spīdzināt vai cietsirdīgi vai pazemojoši ar viņu "
"apieties vai sodīt.",
[
"Nevienu",
"nedrīkst",
"spīdzināt",
"vai",
"cietsirdīgi",
"vai",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/da/test_prefix_suffix_infix.py | spacy/tests/lang/da/test_prefix_suffix_infix.py | import pytest
@pytest.mark.parametrize("text", ["(under)"])
def test_da_tokenizer_splits_no_special(da_tokenizer, text):
tokens = da_tokenizer(text)
assert len(tokens) == 3
@pytest.mark.parametrize("text", ["ta'r", "Søren's", "Lars'"])
def test_da_tokenizer_handles_no_punct(da_tokenizer, text):
tokens =... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/da/test_text.py | spacy/tests/lang/da/test_text.py | import pytest
from spacy.lang.da.lex_attrs import like_num
def test_da_tokenizer_handles_long_text(da_tokenizer):
text = """Der var så dejligt ude på landet. Det var sommer, kornet stod gult, havren grøn,
høet var rejst i stakke nede i de grønne enge, og der gik storken på sine lange,
røde ben og snakkede ægypti... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/da/__init__.py | spacy/tests/lang/da/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/da/test_exceptions.py | spacy/tests/lang/da/test_exceptions.py | import pytest
@pytest.mark.parametrize("text", ["ca.", "m.a.o.", "Jan.", "Dec.", "kr.", "jf."])
def test_da_tokenizer_handles_abbr(da_tokenizer, text):
tokens = da_tokenizer(text)
assert len(tokens) == 1
@pytest.mark.parametrize("text", ["Jul.", "jul.", "Tor.", "Tors."])
def test_da_tokenizer_handles_ambigu... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/da/test_noun_chunks.py | spacy/tests/lang/da/test_noun_chunks.py | import pytest
from spacy.tokens import Doc
def test_noun_chunks_is_parsed(da_tokenizer):
"""Test that noun_chunks raises Value Error for 'da' 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... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/tt/__init__.py | spacy/tests/lang/tt/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/tt/test_tokenizer.py | spacy/tests/lang/tt/test_tokenizer.py | import pytest
INFIX_HYPHEN_TESTS = [
("Явым-төшем күләме.", "Явым-төшем күләме .".split()),
("Хатын-кыз киеме.", "Хатын-кыз киеме .".split()),
]
PUNC_INSIDE_WORDS_TESTS = [
(
"Пассаҗир саны - 2,13 млн — кеше/көндә (2010), 783,9 млн. кеше/елда.",
"Пассаҗир саны - 2,13 млн — кеше / көндә ( 2... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sl/test_text.py | spacy/tests/lang/sl/test_text.py | import pytest
def test_long_text(sl_tokenizer):
# Excerpt: European Convention on Human Rights
text = """
upoštevajoč, da si ta deklaracija prizadeva zagotoviti splošno in
učinkovito priznavanje in spoštovanje v njej razglašenih pravic,
upoštevajoč, da je cilj Sveta Evrope doseči večjo enotnost med
njegovimi ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sl/__init__.py | spacy/tests/lang/sl/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/sl/test_tokenizer.py | spacy/tests/lang/sl/test_tokenizer.py | import pytest
SL_BASIC_TOKENIZATION_TESTS = [
(
"Vsakdo ima pravico do spoštovanja njegovega zasebnega in "
"družinskega življenja, doma in dopisovanja.",
[
"Vsakdo",
"ima",
"pravico",
"do",
"spoštovanja",
"njegovega",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/et/test_text.py | spacy/tests/lang/et/test_text.py | import pytest
def test_long_text(et_tokenizer):
# Excerpt: European Convention on Human Rights
text = """
arvestades, et nimetatud deklaratsiooni eesmärk on tagada selles
kuulutatud õiguste üldine ja tõhus tunnustamine ning järgimine;
arvestades, et Euroopa Nõukogu eesmärk on saavutada tema
liikmete suurem üh... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/et/__init__.py | spacy/tests/lang/et/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/lang/et/test_tokenizer.py | spacy/tests/lang/et/test_tokenizer.py | import pytest
ET_BASIC_TOKENIZATION_TESTS = [
(
"Kedagi ei või piinata ega ebainimlikult või alandavalt kohelda "
"ega karistada.",
[
"Kedagi",
"ei",
"või",
"piinata",
"ega",
"ebainimlikult",
"või",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/morphology/test_morph_converters.py | spacy/tests/morphology/test_morph_converters.py | from spacy.morphology import Morphology
def test_feats_converters():
feats = "Case=dat,gen|Number=sing"
feats_dict = {"Case": "dat,gen", "Number": "sing"}
# simple conversions
assert Morphology.dict_to_feats(feats_dict) == feats
assert Morphology.feats_to_dict(feats) == feats_dict
# roundtri... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/morphology/test_morph_pickle.py | spacy/tests/morphology/test_morph_pickle.py | import pickle
import pytest
from spacy.morphology import Morphology
from spacy.strings import StringStore
@pytest.fixture
def morphology():
morphology = Morphology(StringStore())
morphology.add("Feat1=Val1|Feat2=Val2")
morphology.add("Feat3=Val3|Feat4=Val4")
return morphology
def test_morphology_p... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/morphology/__init__.py | spacy/tests/morphology/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/morphology/test_morph_features.py | spacy/tests/morphology/test_morph_features.py | import pytest
from spacy.morphology import Morphology
from spacy.strings import StringStore, get_string_id
@pytest.fixture
def morphology():
return Morphology(StringStore())
def test_init(morphology):
pass
def test_add_morphology_with_string_names(morphology):
morphology.add({"Case": "gen", "Number":... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/test_similarity.py | spacy/tests/vocab_vectors/test_similarity.py | import numpy
import pytest
from spacy.tokens import Doc
from spacy.vocab import Vocab
from ..util import add_vecs_to_vocab, get_cosine
@pytest.fixture
def vectors():
return [("apple", [1, 2, 3]), ("orange", [-1, -2, -3])]
@pytest.fixture()
def vocab(en_vocab, vectors):
add_vecs_to_vocab(en_vocab, vectors)... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/test_vectors.py | spacy/tests/vocab_vectors/test_vectors.py | import numpy
import pytest
from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
from thinc.api import NumpyOps, get_current_ops
from spacy.lang.en import English
from spacy.strings import hash_string # type: ignore
from spacy.tokenizer import Tokenizer
from spacy.tokens import Doc
from spacy.t... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/test_vocab_api.py | spacy/tests/vocab_vectors/test_vocab_api.py | import os
import pytest
from spacy.attrs import IS_ALPHA, LEMMA, ORTH
from spacy.lang.en import English
from spacy.parts_of_speech import NOUN, VERB
from spacy.vocab import Vocab
from ..util import make_tempdir
@pytest.mark.issue(1868)
def test_issue1868():
"""Test Vocab.__contains__ works with int keys."""
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/test_lexeme.py | spacy/tests/vocab_vectors/test_lexeme.py | import numpy
import pytest
from spacy.attrs import IS_ALPHA, IS_DIGIT
from spacy.lookups import Lookups
from spacy.tokens import Doc
from spacy.util import OOV_RANK
from spacy.vocab import Vocab
@pytest.mark.issue(361)
@pytest.mark.parametrize("text1,text2", [("cat", "dog")])
def test_issue361(en_vocab, text1, text2... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/test_memory_zone.py | spacy/tests/vocab_vectors/test_memory_zone.py | from spacy.vocab import Vocab
def test_memory_zone_no_insertion():
vocab = Vocab()
with vocab.memory_zone():
pass
lex = vocab["horse"]
assert lex.text == "horse"
def test_memory_zone_insertion():
vocab = Vocab()
_ = vocab["dog"]
assert "dog" in vocab
assert "horse" not in voc... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/__init__.py | spacy/tests/vocab_vectors/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/test_stringstore.py | spacy/tests/vocab_vectors/test_stringstore.py | import pytest
from spacy.strings import StringStore
@pytest.fixture
def stringstore():
return StringStore()
def test_string_hash(stringstore):
"""Test that string hashing is stable across platforms"""
assert stringstore.add("apple") == 8566208034543834098
heart = "\U0001f499"
h = stringstore.ad... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/vocab_vectors/test_lookups.py | spacy/tests/vocab_vectors/test_lookups.py | import pytest
from spacy.lookups import Lookups, Table
from spacy.strings import get_string_id
from spacy.vocab import Vocab
from ..util import make_tempdir
def test_lookups_api():
table_name = "test"
data = {"foo": "bar", "hello": "world"}
lookups = Lookups()
lookups.add_table(table_name, data)
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tokenizer/test_whitespace.py | spacy/tests/tokenizer/test_whitespace.py | import pytest
@pytest.mark.parametrize("text", ["lorem ipsum"])
def test_tokenizer_splits_single_space(tokenizer, text):
tokens = tokenizer(text)
assert len(tokens) == 2
@pytest.mark.parametrize("text", ["lorem ipsum"])
def test_tokenizer_splits_double_space(tokenizer, text):
tokens = tokenizer(text)
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tokenizer/test_urls.py | spacy/tests/tokenizer/test_urls.py | import pytest
from spacy.lang.tokenizer_exceptions import BASE_EXCEPTIONS
URLS_BASIC = [
"http://www.nytimes.com/2016/04/20/us/politics/new-york-primary-preview.html?hp&action=click&pgtype=Homepage&clickSource=story-heading&module=a-lede-package-region®ion=top-news&WT.nav=top-news&_r=0",
"www.red-stars.com... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tokenizer/test_explain.py | spacy/tests/tokenizer/test_explain.py | import re
import string
import hypothesis
import hypothesis.strategies
import pytest
import spacy
from spacy.tokenizer import Tokenizer
from spacy.util import get_lang_class
# Only include languages with no external dependencies
# "is" seems to confuse importlib, so we're also excluding it for now
# excluded: ja, ru... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tokenizer/test_naughty_strings.py | spacy/tests/tokenizer/test_naughty_strings.py | import pytest
# Examples taken from the "Big List of Naughty Strings"
# https://github.com/minimaxir/big-list-of-naughty-strings
NAUGHTY_STRINGS = [
# ASCII punctuation
r",./;'[]\-=",
r'<>?:"{}|_+',
r'!@#$%^&*()`~"',
# Unicode additional control characters, byte order marks
r"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tokenizer/__init__.py | spacy/tests/tokenizer/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tokenizer/test_exceptions.py | spacy/tests/tokenizer/test_exceptions.py | import sys
import pytest
def test_tokenizer_handles_emoticons(tokenizer):
# Tweebo challenge (CMU)
text = (
""":o :/ :'( >:o (: :) >.< XD -__- o.O ;D :-) @_@ :P 8D :1 >:( :D =| :> ...."""
)
tokens = tokenizer(text)
assert tokens[0].text == ":o"
assert tokens[1].text == ":/"
assert... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/tokenizer/test_tokenizer.py | spacy/tests/tokenizer/test_tokenizer.py | import re
import numpy
import pytest
from spacy.lang.de import German
from spacy.lang.en import English
from spacy.symbols import ORTH
from spacy.tokenizer import Tokenizer
from spacy.tokens import Doc
from spacy.training import Example
from spacy.util import (
compile_infix_regex,
compile_prefix_regex,
c... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_logger.py | spacy/tests/training/test_logger.py | import pytest
import spacy
from spacy.training import loggers
@pytest.fixture()
def nlp():
nlp = spacy.blank("en")
nlp.add_pipe("ner")
return nlp
@pytest.fixture()
def info():
return {
"losses": {"ner": 100},
"other_scores": {"ENTS_F": 0.85, "ENTS_P": 0.90, "ENTS_R": 0.80},
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_corpus.py | spacy/tests/training/test_corpus.py | import tempfile
from contextlib import contextmanager
from pathlib import Path
from typing import IO, Generator, Iterable, List, TextIO, Tuple
import pytest
from spacy.lang.en import English
from spacy.training import Example, PlainTextCorpus
from spacy.util import make_tempdir
# Intentional newlines to check that t... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_new_example.py | spacy/tests/training/test_new_example.py | import pytest
from spacy.tokens import Doc
from spacy.training.example import Example
from spacy.util import to_ternary_int
from spacy.vocab import Vocab
def test_Example_init_requires_doc_objects():
vocab = Vocab()
with pytest.raises(TypeError):
Example(None, None)
with pytest.raises(TypeError):... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_readers.py | spacy/tests/training/test_readers.py | from typing import Callable, Dict, Iterable
import pytest
from thinc.api import Config, fix_random_seed
from spacy import Language
from spacy.schemas import ConfigSchemaTraining
from spacy.training import Example
from spacy.util import load_model_from_config, registry, resolve_dot_names
def test_readers():
conf... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_rehearse.py | spacy/tests/training/test_rehearse.py | from typing import List
import pytest
import spacy
from spacy.training import Example
TRAIN_DATA = [
(
"Who is Kofi Annan?",
{
"entities": [(7, 18, "PERSON")],
"tags": ["PRON", "AUX", "PROPN", "PRON", "PUNCT"],
"heads": [1, 1, 3, 1, 1],
"deps": ["at... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_training.py | spacy/tests/training/test_training.py | import random
import numpy
import pytest
import srsly
from thinc.api import Adam, compounding
import spacy
from spacy.lang.en import English
from spacy.tokens import Doc, DocBin
from spacy.training import (
Alignment,
Corpus,
Example,
biluo_tags_to_offsets,
biluo_tags_to_spans,
docs_to_json,
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | true |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_pretraining.py | spacy/tests/training/test_pretraining.py | from pathlib import Path
import numpy as np
import pytest
import srsly
from thinc.api import Config, get_current_ops
from spacy import util
from spacy.lang.en import English
from spacy.language import DEFAULT_CONFIG_PATH, DEFAULT_CONFIG_PRETRAIN_PATH
from spacy.ml.models.multi_task import create_pretrain_vectors
from... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/__init__.py | spacy/tests/training/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/training/test_augmenters.py | spacy/tests/training/test_augmenters.py | import random
from contextlib import contextmanager
import pytest
from spacy.lang.en import English
from spacy.pipeline._parser_internals.nonproj import contains_cycle
from spacy.tokens import Doc, DocBin, Span
from spacy.training import Corpus, Example
from spacy.training.augment import (
create_lower_casing_aug... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/package/test_requirements.py | spacy/tests/package/test_requirements.py | import re
from pathlib import Path
def test_build_dependencies():
# Check that library requirements are pinned exactly the same across different setup files.
libs_ignore_requirements = [
"numpy",
"pytest",
"pytest-timeout",
"mock",
"flake8",
"hypothesis",
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/package/__init__.py | spacy/tests/package/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_pickle_doc.py | spacy/tests/doc/test_pickle_doc.py | from spacy.compat import pickle
from spacy.language import Language
def test_pickle_single_doc():
nlp = Language()
doc = nlp("pickle roundtrip")
data = pickle.dumps(doc, 1)
doc2 = pickle.loads(data)
assert doc2.text == "pickle roundtrip"
def test_list_of_docs_pickles_efficiently():
nlp = Lan... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_retokenize_split.py | spacy/tests/doc/test_retokenize_split.py | import numpy
import pytest
from spacy.tokens import Doc, Token
from spacy.vocab import Vocab
@pytest.mark.issue(3540)
def test_issue3540(en_vocab):
words = ["I", "live", "in", "NewYork", "right", "now"]
tensor = numpy.asarray(
[[1.0, 1.1], [2.0, 2.1], [3.0, 3.1], [4.0, 4.1], [5.0, 5.1], [6.0, 6.1]],
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_json_doc_conversion.py | spacy/tests/doc/test_json_doc_conversion.py | import pytest
import srsly
import spacy
from spacy import schemas
from spacy.tokens import Doc, Span, Token
from .test_underscore import clean_underscore # noqa: F401
@pytest.fixture()
def doc(en_vocab):
words = ["c", "d", "e"]
spaces = [True, True, True]
pos = ["VERB", "NOUN", "NOUN"]
tags = ["VBP... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_array.py | spacy/tests/doc/test_array.py | import numpy
import pytest
from spacy.attrs import DEP, MORPH, ORTH, POS, SHAPE
from spacy.tokens import Doc
@pytest.mark.issue(2203)
def test_issue2203(en_vocab):
"""Test that lemmas are set correctly in doc.from_array."""
words = ["I", "'ll", "survive"]
tags = ["PRP", "MD", "VB"]
lemmas = ["-PRON-"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_span_group.py | spacy/tests/doc/test_span_group.py | from random import Random
from typing import List
import pytest
from spacy.matcher import Matcher
from spacy.tokens import Doc, Span, SpanGroup
from spacy.util import filter_spans
@pytest.fixture
def doc(en_tokenizer):
doc = en_tokenizer("0 1 2 3 4 5 6")
matcher = Matcher(en_tokenizer.vocab, validate=True)
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_doc_api.py | spacy/tests/doc/test_doc_api.py | import warnings
import weakref
import numpy
import pytest
from numpy.testing import assert_array_equal
from thinc.api import NumpyOps, get_current_ops
from spacy.attrs import (
DEP,
ENT_IOB,
ENT_TYPE,
HEAD,
IS_ALPHA,
MORPH,
POS,
SENT_START,
TAG,
)
from spacy.lang.en import English
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | true |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_graph.py | spacy/tests/doc/test_graph.py | from spacy.tokens.doc import Doc
from spacy.tokens.graph import Graph
from spacy.vocab import Vocab
def test_graph_init():
doc = Doc(Vocab(), words=["a", "b", "c", "d"])
graph = Graph(doc, name="hello")
assert graph.name == "hello"
assert graph.doc is doc
def test_graph_edges_and_nodes():
doc = ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_creation.py | spacy/tests/doc/test_creation.py | import pytest
from spacy import util
from spacy.tokens import Doc
from spacy.vocab import Vocab
@pytest.fixture
def vocab():
return Vocab()
def test_empty_doc(vocab):
doc = Doc(vocab)
assert len(doc) == 0
def test_single_word(vocab):
doc = Doc(vocab, words=["a"])
assert doc.text == "a "
d... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_span.py | spacy/tests/doc/test_span.py | import numpy
import pytest
from numpy.testing import assert_array_equal
from thinc.api import get_current_ops
from spacy.attrs import LENGTH, ORTH
from spacy.lang.en import English
from spacy.tokens import Doc, Span, Token
from spacy.util import filter_spans
from spacy.vocab import Vocab
from ..util import add_vecs_t... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/__init__.py | spacy/tests/doc/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_morphanalysis.py | spacy/tests/doc/test_morphanalysis.py | import pytest
@pytest.fixture
def i_has(en_tokenizer):
doc = en_tokenizer("I has")
doc[0].set_morph({"PronType": "prs"})
doc[1].set_morph(
{
"VerbForm": "fin",
"Tense": "pres",
"Number": "sing",
"Person": "three",
}
)
return doc
de... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_add_entities.py | spacy/tests/doc/test_add_entities.py | import pytest
from spacy import registry
from spacy.pipeline import EntityRecognizer
from spacy.pipeline.ner import DEFAULT_NER_MODEL
from spacy.tokens import Doc, Span
from spacy.training import Example
def _ner_example(ner):
doc = Doc(
ner.vocab,
words=["Joe", "loves", "visiting", "London", "du... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_token_api.py | spacy/tests/doc/test_token_api.py | import numpy
import pytest
from spacy.attrs import IS_ALPHA, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_STOP, IS_TITLE
from spacy.symbols import VERB
from spacy.tokens import Doc
from spacy.training import Example
from spacy.vocab import Vocab
@pytest.fixture
def doc(en_vocab):
# fmt: off
words = ["This", "is", "a", "... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_retokenize_merge.py | spacy/tests/doc/test_retokenize_merge.py | import pytest
from spacy.attrs import LEMMA
from spacy.tokens import Doc, Token
from spacy.vocab import Vocab
def test_doc_retokenize_merge(en_tokenizer):
text = "WKRO played songs by the beach boys all night"
attrs = {
"tag": "NAMED",
"lemma": "LEMMA",
"ent_type": "TYPE",
"mo... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/doc/test_underscore.py | spacy/tests/doc/test_underscore.py | import pytest
from mock import Mock
from spacy.tokens import Doc, Span, Token
from spacy.tokens.underscore import Underscore
@pytest.fixture(scope="function", autouse=True)
def clean_underscore():
# reset the Underscore object after the test, to avoid having state copied across tests
yield
Underscore.doc... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_preset_sbd.py | spacy/tests/parser/test_preset_sbd.py | import pytest
from thinc.api import Adam
from spacy import registry
from spacy.attrs import NORM
from spacy.pipeline import DependencyParser
from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL
from spacy.tokens import Doc
from spacy.training import Example
from spacy.vocab import Vocab
@pytest.fixture
def voc... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_parse_navigate.py | spacy/tests/parser/test_parse_navigate.py | import pytest
from spacy.tokens import Doc
@pytest.fixture
def words():
# fmt: off
return [
"\n", "It", "was", "a", "bright", "cold", "day", "in", "April", ",",
"and", "the", "clocks", "were", "striking", "thirteen", ".", "\n",
"Winston", "Smith", ",", "his", "chin", "nuzzled", "into"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_add_label.py | spacy/tests/parser/test_add_label.py | import pytest
from thinc.api import Adam, fix_random_seed
from spacy import registry
from spacy.attrs import NORM
from spacy.language import Language
from spacy.pipeline import DependencyParser, EntityRecognizer
from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL
from spacy.pipeline.ner import DEFAULT_NER_MODEL... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_ner.py | spacy/tests/parser/test_ner.py | import logging
import random
import pytest
from numpy.testing import assert_equal
from spacy import registry, util
from spacy.attrs import ENT_IOB
from spacy.lang.en import English
from spacy.lang.it import Italian
from spacy.language import Language
from spacy.lookups import Lookups
from spacy.pipeline import Entity... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_nn_beam.py | spacy/tests/parser/test_nn_beam.py | import hypothesis
import hypothesis.strategies
import numpy
import pytest
from thinc.tests.strategies import ndarrays_of_shape
from spacy.language import Language
from spacy.pipeline._parser_internals._beam_utils import BeamBatch
from spacy.pipeline._parser_internals.arc_eager import ArcEager
from spacy.pipeline._pars... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_arc_eager_oracle.py | spacy/tests/parser/test_arc_eager_oracle.py | import pytest
from spacy import registry
from spacy.pipeline import DependencyParser
from spacy.pipeline._parser_internals.arc_eager import ArcEager
from spacy.pipeline._parser_internals.nonproj import projectivize
from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL
from spacy.tokens import Doc
from spacy.train... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_state.py | spacy/tests/parser/test_state.py | import pytest
from spacy.pipeline._parser_internals.stateclass import StateClass
from spacy.tokens.doc import Doc
from spacy.vocab import Vocab
@pytest.fixture
def vocab():
return Vocab()
@pytest.fixture
def doc(vocab):
return Doc(vocab, words=["a", "b", "c", "d"])
def test_init_state(doc):
state = S... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/__init__.py | spacy/tests/parser/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_parse.py | spacy/tests/parser/test_parse.py | import pytest
from numpy.testing import assert_equal
from thinc.api import Adam
from spacy import registry, util
from spacy.attrs import DEP, NORM
from spacy.lang.en import English
from spacy.pipeline import DependencyParser
from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL
from spacy.pipeline.tok2vec import ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_nonproj.py | spacy/tests/parser/test_nonproj.py | import pytest
from spacy.pipeline._parser_internals import nonproj
from spacy.pipeline._parser_internals.nonproj import (
ancestors,
contains_cycle,
is_nonproj_arc,
is_nonproj_tree,
)
from spacy.tokens import Doc
@pytest.fixture
def tree():
return [1, 2, 2, 4, 5, 2, 2]
@pytest.fixture
def cycli... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_space_attachment.py | spacy/tests/parser/test_space_attachment.py | import pytest
from spacy.tokens import Doc
from ..util import apply_transition_sequence
def test_parser_space_attachment(en_vocab):
# fmt: off
words = ["This", "is", "a", "test", ".", "\n", "To", "ensure", " ", "spaces", "are", "attached", "well", "."]
heads = [1, 1, 3, 1, 1, 4, 7, 11, 7, 11, 11, 11, 11... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/parser/test_neural_parser.py | spacy/tests/parser/test_neural_parser.py | import pytest
from thinc.api import Model
from spacy import registry
from spacy.pipeline._parser_internals.arc_eager import ArcEager
from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL
from spacy.pipeline.tok2vec import DEFAULT_TOK2VEC_MODEL
from spacy.pipeline.transition_parser import Parser
from spacy.tokens.... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_pipe_factories.py | spacy/tests/pipeline/test_pipe_factories.py | import pytest
try:
from pydantic.v1 import StrictInt, StrictStr
except ImportError:
from pydantic import StrictInt, StrictStr # type: ignore
from thinc.api import ConfigValidationError, Linear, Model
import spacy
from spacy.lang.de import German
from spacy.lang.en import English
from spacy.language import L... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_edit_tree_lemmatizer.py | spacy/tests/pipeline/test_edit_tree_lemmatizer.py | import pickle
import hypothesis.strategies as st
import pytest
from hypothesis import given
from spacy import util
from spacy.lang.en import English
from spacy.language import Language
from spacy.pipeline._edit_tree_internals.edit_trees import EditTrees
from spacy.strings import StringStore
from spacy.training import... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_initialize.py | spacy/tests/pipeline/test_initialize.py | import pytest
try:
from pydantic.v1 import StrictBool
except ImportError:
from pydantic import StrictBool # type: ignore
from thinc.api import ConfigValidationError
from spacy.lang.en import English
from spacy.language import Language
from spacy.training import Example
def test_initialize_arguments():
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_spancat.py | spacy/tests/pipeline/test_spancat.py | import numpy
import pytest
from numpy.testing import assert_almost_equal, assert_array_equal
from thinc.api import NumpyOps, Ragged, get_current_ops
from spacy import util
from spacy.lang.en import English
from spacy.language import Language
from spacy.tokens import SpanGroup
from spacy.tokens._dict_proxies import Spa... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_pipe_methods.py | spacy/tests/pipeline/test_pipe_methods.py | import gc
import numpy
import pytest
from thinc.api import get_current_ops
import spacy
from spacy.lang.en import English
from spacy.lang.en.syntax_iterators import noun_chunks
from spacy.language import Language
from spacy.pipeline import TrainablePipe
from spacy.tokens import Doc
from spacy.training import Example
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_functions.py | spacy/tests/pipeline/test_functions.py | import pytest
from spacy.language import Language
from spacy.pipeline.functions import merge_subtokens
from spacy.tokens import Doc, Span
from ..doc.test_underscore import clean_underscore # noqa: F401
@pytest.fixture
def doc(en_vocab):
# fmt: off
words = ["This", "is", "a", "sentence", ".", "This", "is", ... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_annotates_on_update.py | spacy/tests/pipeline/test_annotates_on_update.py | from typing import Callable, Iterable, Iterator
import pytest
from thinc.api import Config
from spacy.lang.en import English
from spacy.language import Language
from spacy.training import Example
from spacy.training.loop import train
from spacy.util import load_model_from_config, registry
@pytest.fixture
def config... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_entity_ruler.py | spacy/tests/pipeline/test_entity_ruler.py | import pytest
from thinc.api import NumpyOps, get_current_ops
from spacy import registry
from spacy.errors import MatchPatternError
from spacy.lang.en import English
from spacy.language import Language
from spacy.pipeline import EntityRecognizer, EntityRuler, SpanRuler, merge_entities
from spacy.pipeline.ner import DE... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_entity_linker.py | spacy/tests/pipeline/test_entity_linker.py | from typing import Any, Callable, Dict, Iterable, Tuple
import pytest
from numpy.testing import assert_equal
from spacy import Language, registry, util
from spacy.attrs import ENT_KB_ID
from spacy.compat import pickle
from spacy.kb import Candidate, InMemoryLookupKB, KnowledgeBase, get_candidates
from spacy.lang.en i... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | true |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_lemmatizer.py | spacy/tests/pipeline/test_lemmatizer.py | import pickle
import pytest
from spacy import registry, util
from spacy.lang.en import English
from spacy.lookups import Lookups
from ..util import make_tempdir
@pytest.fixture
def nlp():
@registry.misc("cope_lookups")
def cope_lookups():
lookups = Lookups()
lookups.add_table("lemma_lookup"... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_span_finder.py | spacy/tests/pipeline/test_span_finder.py | import pytest
from thinc.api import Config
from spacy import util
from spacy.lang.en import English
from spacy.language import Language
from spacy.pipeline.span_finder import span_finder_default_config
from spacy.tokens import Doc
from spacy.training import Example
from spacy.util import fix_random_seed, make_tempdir,... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_analysis.py | spacy/tests/pipeline/test_analysis.py | import pytest
from mock import Mock
from spacy.language import Language
from spacy.pipe_analysis import get_attr_info, validate_attrs
def test_component_decorator_assigns():
@Language.component("c1", assigns=["token.tag", "doc.tensor"])
def test_component1(doc):
return doc
@Language.component(
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_tagger.py | spacy/tests/pipeline/test_tagger.py | import pytest
from numpy.testing import assert_almost_equal, assert_equal
from thinc.api import compounding, get_current_ops
from spacy import util
from spacy.attrs import TAG
from spacy.lang.en import English
from spacy.language import Language
from spacy.training import Example
from ..util import make_tempdir
@py... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_models.py | spacy/tests/pipeline/test_models.py | from typing import List
import numpy
import pytest
from numpy.testing import assert_almost_equal
from thinc.api import Model, data_validation, get_current_ops
from thinc.types import Array2d, Ragged
from spacy.lang.en import English
from spacy.ml import FeatureExtractor, StaticVectors
from spacy.ml._character_embed i... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_attributeruler.py | spacy/tests/pipeline/test_attributeruler.py | import numpy
import pytest
from spacy import registry, util
from spacy.lang.en import English
from spacy.pipeline import AttributeRuler
from spacy.tokens import Doc
from spacy.training import Example
from ..util import make_tempdir
@pytest.fixture
def nlp():
return English()
@pytest.fixture
def pattern_dicts(... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_sentencizer.py | spacy/tests/pipeline/test_sentencizer.py | import pytest
import spacy
from spacy.lang.en import English
from spacy.pipeline import Sentencizer
from spacy.tokens import Doc
def test_sentencizer(en_vocab):
doc = Doc(en_vocab, words=["Hello", "!", "This", "is", "a", "test", "."])
sentencizer = Sentencizer(punct_chars=None)
doc = sentencizer(doc)
... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/__init__.py | spacy/tests/pipeline/__init__.py | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false | |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_morphologizer.py | spacy/tests/pipeline/test_morphologizer.py | import pytest
from numpy.testing import assert_almost_equal, assert_equal
from thinc.api import get_current_ops
from spacy import util
from spacy.attrs import MORPH
from spacy.lang.en import English
from spacy.language import Language
from spacy.morphology import Morphology
from spacy.tests.util import make_tempdir
fr... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_textcat.py | spacy/tests/pipeline/test_textcat.py | import random
import numpy.random
import pytest
from numpy.testing import assert_almost_equal
from thinc.api import Config, compounding, fix_random_seed, get_current_ops
from wasabi import msg
import spacy
from spacy import util
from spacy.cli.evaluate import print_prf_per_type, print_textcats_auc_per_cat
from spacy.... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | true |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_span_ruler.py | spacy/tests/pipeline/test_span_ruler.py | import pytest
from thinc.api import NumpyOps, get_current_ops
import spacy
from spacy import registry
from spacy.errors import MatchPatternError
from spacy.tests.util import make_tempdir
from spacy.tokens import Span
from spacy.training import Example
@pytest.fixture
@registry.misc("span_ruler_patterns")
def pattern... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_tok2vec.py | spacy/tests/pipeline/test_tok2vec.py | import pytest
from numpy.testing import assert_array_equal
from thinc.api import Config, get_current_ops
from spacy import util
from spacy.lang.en import English
from spacy.ml.models.tok2vec import (
MaxoutWindowEncoder,
MultiHashEmbed,
build_Tok2Vec_model,
)
from spacy.pipeline.tok2vec import Tok2Vec, Tok... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/tests/pipeline/test_senter.py | spacy/tests/pipeline/test_senter.py | import pytest
from numpy.testing import assert_equal
from spacy import util
from spacy.attrs import SENT_START
from spacy.lang.en import English
from spacy.language import Language
from spacy.tests.util import make_tempdir
from spacy.training import Example
def test_label_types():
nlp = Language()
senter = n... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/training/pretrain.py | spacy/training/pretrain.py | import re
import time
from collections import Counter
from pathlib import Path
from typing import Callable, Iterable, List, Optional, Union
import srsly
from thinc.api import (
Config,
Model,
Optimizer,
fix_random_seed,
set_dropout_rate,
set_gpu_allocator,
)
from thinc.config import ConfigValid... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/training/batchers.py | spacy/training/batchers.py | import itertools
from functools import partial
from typing import (
Any,
Callable,
Iterable,
Iterator,
List,
Optional,
Sequence,
TypeVar,
Union,
)
from ..util import minibatch, registry
Sizing = Union[Sequence[int], int]
ItemT = TypeVar("ItemT")
BatcherT = Callable[[Iterable[ItemT]... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/training/corpus.py | spacy/training/corpus.py | import random
import warnings
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Iterable, Iterator, List, Optional, Union
import srsly
from .. import util
from ..errors import Errors, Warnings
from ..tokens import Doc, DocBin
from ..vocab import Vocab
from .augment import dont_augment
from .example... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/training/loggers.py | spacy/training/loggers.py | import sys
from pathlib import Path
from typing import IO, TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
import srsly
import tqdm
from wasabi import Printer
from .. import util
from ..errors import Errors
from ..util import registry
if TYPE_CHECKING:
from ..language import Language # noqa: F4... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/training/callbacks.py | spacy/training/callbacks.py | from typing import TYPE_CHECKING, Callable, Optional
from ..errors import Errors
from ..util import load_model, logger, registry
if TYPE_CHECKING:
from ..language import Language
def create_copy_from_base_model(
tokenizer: Optional[str] = None,
vocab: Optional[str] = None,
) -> Callable[["Language"], "L... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/training/__init__.py | spacy/training/__init__.py | from .alignment import Alignment # noqa: F401
from .augment import dont_augment, orth_variants_augmenter # noqa: F401
from .batchers import minibatch_by_padded_size, minibatch_by_words # noqa: F401
from .callbacks import create_copy_from_base_model # noqa: F401
from .corpus import Corpus, JsonlCorpus, PlainTextCorp... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
explosion/spaCy | https://github.com/explosion/spaCy/blob/c1e7cb2ebf387a833d56e3b0bee23788d54b1448/spacy/training/initialize.py | spacy/training/initialize.py | import gzip
import tarfile
import warnings
import zipfile
from itertools import islice
from pathlib import Path
from typing import IO, TYPE_CHECKING, Any, Dict, Optional, Union
import numpy
import srsly
import tqdm
from thinc.api import Config, ConfigValidationError, fix_random_seed, set_gpu_allocator
from ..errors i... | python | MIT | c1e7cb2ebf387a833d56e3b0bee23788d54b1448 | 2026-01-04T14:42:48.113774Z | false |
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