repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
spaCy | spacy/tests/util.py | .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"):... | 105 | 3,281 |
spaCy | spacy/tests/test_scorer.py | .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... | 538 | 17,478 |
spaCy | spacy/tests/test_ty.py | .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... | 19 | 748 |
spaCy | spacy/tests/test_factory_registrations.py | .py | import json
from pathlib import Path
import pytest
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 handle Cython functions
from spacy import util
origi... | 95 | 2,942 |
spaCy | spacy/tests/test_models.py | .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... | 302 | 9,585 |
spaCy | spacy/tests/test_displacy.py | .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... | 491 | 17,774 |
spaCy | spacy/tests/test_language.py | .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 ... | 801 | 27,022 |
spaCy | spacy/tests/tok2vec.py | .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... | 37 | 1,001 |
spaCy | spacy/tests/test_pickles.py | .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... | 63 | 2,023 |
spaCy | spacy/tests/test_architectures.py | .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")
... | 17 | 448 |
spaCy | spacy/tests/test_cli.py | .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... | 1,240 | 44,024 |
spaCy | spacy/tests/conftest.py | .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... | 535 | 12,096 |
spaCy | spacy/tests/tokenizer/test_exceptions.py | .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... | 55 | 1,757 |
spaCy | spacy/tests/tokenizer/test_urls.py | .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... | 206 | 6,462 |
spaCy | spacy/tests/tokenizer/test_explain.py | .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... | 146 | 5,441 |
spaCy | spacy/tests/tokenizer/test_tokenizer.py | .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... | 558 | 18,588 |
spaCy | spacy/tests/tokenizer/test_naughty_strings.py | .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"... | 116 | 7,466 |
spaCy | spacy/tests/tokenizer/test_whitespace.py | .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)
... | 46 | 1,295 |
spaCy | spacy/tests/lang/test_lemmatizers.py | .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... | 55 | 1,910 |
spaCy | spacy/tests/lang/test_initialize.py | .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",
... | 25 | 929 |
spaCy | spacy/tests/lang/test_attrs.py | .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.... | 136 | 3,532 |
spaCy | spacy/tests/lang/it/test_prefix_suffix_infix.py | .py | import pytest
@pytest.mark.parametrize(
"text,expected_tokens", [("c'è", ["c'", "è"]), ("l'ha", ["l'", "ha"])]
)
def test_contractions(it_tokenizer, text, expected_tokens):
"""Test that the contractions are split into two tokens"""
tokens = it_tokenizer(text)
assert len(tokens) == 2
assert [t.text... | 12 | 359 |
spaCy | spacy/tests/lang/it/test_stopwords.py | .py | import pytest
@pytest.mark.parametrize(
"word", ["un", "lo", "dell", "dall", "si", "ti", "mi", "quest", "quel", "quello"]
)
def test_stopwords_basic(it_tokenizer, word):
tok = it_tokenizer(word)[0]
assert tok.is_stop
@pytest.mark.parametrize(
"word", ["quest'uomo", "l'ho", "un'amica", "dell'olio", "... | 18 | 449 |
spaCy | spacy/tests/lang/it/test_noun_chunks.py | .py | import pytest
from spacy.tokens import Doc
# fmt: off
@pytest.mark.parametrize(
"words,heads,deps,pos,chunk_offsets",
[
# determiner + noun
# un pollo -> un pollo
(
["un", "pollo"],
[1, 1],
["det", "ROOT"],
["DET", "NOUN"],
[... | 223 | 8,618 |
spaCy | spacy/tests/lang/it/test_text.py | .py | import pytest
@pytest.mark.issue(2822)
def test_issue2822(it_tokenizer):
"""Test that the abbreviation of poco is kept as one word."""
doc = it_tokenizer("Vuoi un po' di zucchero?")
assert len(doc) == 6
assert doc[0].text == "Vuoi"
assert doc[1].text == "un"
assert doc[2].text == "po'"
ass... | 15 | 411 |
spaCy | spacy/tests/lang/lg/test_tokenizer.py | .py | import pytest
LG_BASIC_TOKENIZATION_TESTS = [
(
"Abooluganda ab’emmamba ababiri",
["Abooluganda", "ab’emmamba", "ababiri"],
),
]
@pytest.mark.parametrize("text,expected_tokens", LG_BASIC_TOKENIZATION_TESTS)
def test_lg_tokenizer_basic(lg_tokenizer, text, expected_tokens):
tokens = lg_toke... | 16 | 449 |
spaCy | spacy/tests/lang/ga/test_tokenizer.py | .py | import pytest
# fmt: off
GA_TOKEN_EXCEPTION_TESTS = [
("Niall Ó Domhnaill, Rialtas na hÉireann 1977 (lch. 600).", ["Niall", "Ó", "Domhnaill", ",", "Rialtas", "na", "hÉireann", "1977", "(", "lch.", "600", ")", "."]),
("Daoine a bhfuil Gaeilge acu, m.sh. tusa agus mise", ["Daoine", "a", "bhfuil", "Gaeilge", "acu... | 16 | 684 |
spaCy | spacy/tests/lang/tt/test_tokenizer.py | .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... | 84 | 3,720 |
spaCy | spacy/tests/lang/fi/test_tokenizer.py | .py | import pytest
ABBREVIATION_TESTS = [
(
"Hyvää uutta vuotta t. siht. Niemelä!",
["Hyvää", "uutta", "vuotta", "t.", "siht.", "Niemelä", "!"],
),
("Paino on n. 2.2 kg", ["Paino", "on", "n.", "2.2", "kg"]),
(
"Vuonna 1 eaa. tapahtui kauheita.",
["Vuonna", "1", "eaa.", "tapah... | 85 | 2,899 |
spaCy | spacy/tests/lang/fi/test_noun_chunks.py | .py | import pytest
from spacy.tokens import Doc
FI_NP_TEST_EXAMPLES = [
(
"Kaksi tyttöä potkii punaista palloa",
["NUM", "NOUN", "VERB", "ADJ", "NOUN"],
["nummod", "nsubj", "ROOT", "amod", "obj"],
[1, 1, 0, 1, -2],
["Kaksi tyttöä", "punaista palloa"],
),
(
"Eritt... | 190 | 7,258 |
spaCy | spacy/tests/lang/fi/test_text.py | .py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10000", True),
("10,00", True),
("-999,0", True),
("yksi", True),
("kolmetoista", True),
("viisikymmentä", True),
("tuhat", True),
("1/2", True),... | 25 | 542 |
spaCy | spacy/tests/lang/ta/test_tokenizer.py | .py | import pytest
from spacy.lang.ta import Tamil
from spacy.symbols import ORTH
TA_BASIC_TOKENIZATION_TESTS = [
(
"கிறிஸ்துமஸ் மற்றும் இனிய புத்தாண்டு வாழ்த்துக்கள்",
["கிறிஸ்துமஸ்", "மற்றும்", "இனிய", "புத்தாண்டு", "வாழ்த்துக்கள்"],
),
(
"எனக்கு என் குழந்தைப் பருவம் நினைவிருக்கிறது",... | 190 | 7,830 |
spaCy | spacy/tests/lang/ta/test_text.py | .py | import pytest
from spacy.lang.ta import Tamil
# Wikipedia excerpt: https://en.wikipedia.org/wiki/Chennai (Tamil Language)
TAMIL_BASIC_TOKENIZER_SENTENCIZER_TEST_TEXT = """சென்னை (Chennai) தமிழ்நாட்டின் தலைநகரமும், இந்தியாவின் நான்காவது பெரிய நகரமும் ஆகும். 1996 ஆம் ஆண்டுக்கு முன்னர் இந்நகரம், மதராசு பட்டினம், மெட்ராஸ... | 27 | 2,738 |
spaCy | spacy/tests/lang/ht/test_exceptions.py | .py | import pytest
def test_ht_tokenizer_handles_basic_contraction(ht_tokenizer):
text = "m'ap ri"
tokens = ht_tokenizer(text)
assert len(tokens) == 3
assert tokens[0].text == "m'"
assert tokens[1].text == "ap"
assert tokens[2].text == "ri"
text = "mwen di'w non!"
tokens = ht_tokenizer(tex... | 45 | 1,063 |
spaCy | spacy/tests/lang/ht/test_prefix_suffix_infix.py | .py | import pytest
@pytest.mark.parametrize("text", ["(ka)"])
def test_ht_tokenizer_splits_no_special(ht_tokenizer, text):
tokens = ht_tokenizer(text)
assert len(tokens) == 3
@pytest.mark.parametrize("text", ["m'ap"])
def test_ht_tokenizer_splits_no_punct(ht_tokenizer, text):
tokens = ht_tokenizer(text)
... | 133 | 3,987 |
spaCy | spacy/tests/lang/ht/test_noun_chunks.py | .py | import pytest
from spacy.tokens import Doc
@pytest.fixture
def doc(ht_vocab):
words = ["Pitit", "gen", "gwo", "pwoblèm", "ak", "kontwòl"]
heads = [1, 1, 5, 5, 3, 3]
deps = ["nsubj", "ROOT", "amod", "obj", "case", "nmod"]
pos = ["NOUN", "VERB", "ADJ", "NOUN", "ADP", "NOUN"]
return Doc(ht_vocab, wo... | 46 | 1,513 |
spaCy | spacy/tests/lang/ht/test_text.py | .py | import pytest
from spacy.lang.ht.lex_attrs import like_num, norm_custom
def test_ht_tokenizer_handles_long_text(ht_tokenizer):
text = """Onè ap fèt pou ansyen lidè Pati Travayè Britanik
Moun atravè lemond ap voye onè pou ansyen lidè
Pati Travayè a, John Smith, ki mouri pi bonè jodi a apre li te fè yon gwo kriz ... | 79 | 2,082 |
spaCy | spacy/tests/lang/de/test_exceptions.py | .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... | 21 | 598 |
spaCy | spacy/tests/lang/de/test_prefix_suffix_infix.py | .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... | 109 | 3,395 |
spaCy | spacy/tests/lang/de/test_parser.py | .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 = ... | 29 | 1,188 |
spaCy | spacy/tests/lang/de/test_noun_chunks.py | .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)
| 9 | 266 |
spaCy | spacy/tests/lang/de/test_text.py | .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... | 46 | 1,505 |
spaCy | spacy/tests/lang/sr/test_exceptions.py | .py | import pytest
@pytest.mark.parametrize(
"text,norms,lemmas",
[
("о.г.", ["ове године"], ["ова година"]),
("чет.", ["четвртак"], ["четвртак"]),
("гђа", ["госпођа"], ["госпођа"]),
("ил'", ["или"], ["или"]),
],
)
def test_sr_tokenizer_abbrev_exceptions(sr_tokenizer, text, norm... | 17 | 510 |
spaCy | spacy/tests/lang/sr/test_tokenizer.py | .py | import pytest
PUNCT_OPEN = ["(", "[", "{", "*"]
PUNCT_CLOSE = [")", "]", "}", "*"]
PUNCT_PAIRED = [("(", ")"), ("[", "]"), ("{", "}"), ("*", "*")]
@pytest.mark.parametrize("text", ["(", "((", "<"])
def test_sr_tokenizer_handles_only_punct(sr_tokenizer, text):
tokens = sr_tokenizer(text)
assert len(tokens) ==... | 124 | 4,301 |
spaCy | spacy/tests/lang/bo/test_text.py | .py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("999.0", True),
("གཅིག་", True),
("གཉིས་", True),
("ཀླད་ཀོར་", True),
("བཅུ་གཅིག་", True),
("ཁྱི་", False),
(",", False),
],
)
def test_lex_attrs_like... | 22 | 517 |
spaCy | spacy/tests/lang/nn/test_tokenizer.py | .py | import pytest
# examples taken from Omsetjingsminne frå Nynorsk pressekontor 2022 (https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-80/)
# fmt: off
NN_TOKEN_EXCEPTION_TESTS = [
(
"Målet til direktoratet er at alle skal bli tilbydd jobb i politiet så raskt som mogleg i 2014.",
[
... | 39 | 1,796 |
spaCy | spacy/tests/lang/dsb/test_tokenizer.py | .py | import pytest
DSB_BASIC_TOKENIZATION_TESTS = [
(
"Ale eksistěrujo mimo togo ceła kopica narěcow, ako na pśikład slěpjańska.",
[
"Ale",
"eksistěrujo",
"mimo",
"togo",
"ceła",
"kopica",
"narěcow",
",",
... | 30 | 749 |
spaCy | spacy/tests/lang/dsb/test_text.py | .py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10,000", True),
("10,00", True),
("jadno", True),
("dwanassćo", True),
("milion", True),
("sto", True),
("ceła", False),
("kopica", False),
... | 26 | 560 |
spaCy | spacy/tests/lang/hr/test_tokenizer.py | .py | import pytest
HR_BASIC_TOKENIZATION_TESTS = [
(
"Nitko se ne smije podvrgnuti mučenju ni nečovječnom ili "
"ponižavajućem postupanju ili kazni.",
[
"Nitko",
"se",
"ne",
"smije",
"podvrgnuti",
"mučenju",
"ni"... | 32 | 801 |
spaCy | spacy/tests/lang/hr/test_text.py | .py | import pytest
def test_long_text(hr_tokenizer):
# Excerpt: European Convention on Human Rights
text = """
uzimajući u obzir da ta deklaracija nastoji osigurati opće i djelotvorno
priznanje i poštovanje u njoj proglašenih prava;
uzimajući u obzir da je cilj Vijeća Europe postizanje većeg jedinstva
njegovih čla... | 27 | 954 |
spaCy | spacy/tests/lang/es/test_exception.py | .py | import pytest
@pytest.mark.parametrize(
"text,lemma",
[
("aprox.", "aproximadamente"),
("esq.", "esquina"),
("pág.", "página"),
("p.ej.", "por ejemplo"),
],
)
def test_es_tokenizer_handles_abbr(es_tokenizer, text, lemma):
tokens = es_tokenizer(text)
assert len(token... | 23 | 549 |
spaCy | spacy/tests/lang/es/test_noun_chunks.py | .py | import pytest
from spacy.tokens import Doc
# fmt: off
@pytest.mark.parametrize(
"words,heads,deps,pos,chunk_offsets",
[
# un gato -> "un gato"
(
["un", "gato"],
[1, 1],
["det", "ROOT"],
["DET", "NOUN"],
[(0, 2)],
),
#... | 160 | 9,946 |
spaCy | spacy/tests/lang/es/test_text.py | .py | import pytest
from spacy.lang.es import Spanish
from spacy.lang.es.lex_attrs import like_num
@pytest.mark.issue(3803)
def test_issue3803():
"""Test that spanish num-like tokens have True for like_num attribute."""
nlp = Spanish()
text = "2 dos 1000 mil 12 doce"
doc = nlp(text)
assert [t.like_num... | 75 | 2,026 |
spaCy | spacy/tests/lang/fo/test_tokenizer.py | .py | import pytest
# examples taken from Basic LAnguage Resource Kit 1.0 for Faroese (https://maltokni.fo/en/resources) licensed with CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
# fmt: off
FO_TOKEN_EXCEPTION_TESTS = [
(
"Eftir løgtingslóg um samsýning og eftirløn landsstýrismanna v.m., skulu løgmað... | 27 | 1,515 |
spaCy | spacy/tests/lang/grc/test_tokenizer.py | .py | import pytest
# fmt: off
GRC_TOKEN_EXCEPTION_TESTS = [
("τὸ 〈τῆς〉 φιλοσοφίας ἔργον ἔνιοί φασιν ἀπὸ ⟦βαρβάρων⟧ ἄρξαι.", ["τὸ", "〈", "τῆς", "〉", "φιλοσοφίας", "ἔργον", "ἔνιοί", "φασιν", "ἀπὸ", "⟦", "βαρβάρων", "⟧", "ἄρξαι", "."]),
("τὴν δὲ τῶν Αἰγυπτίων φιλοσοφίαν εἶναι τοιαύτην περί τε †θεῶν† καὶ ὑπὲρ δικαιοσύν... | 18 | 1,326 |
spaCy | spacy/tests/lang/grc/test_text.py | .py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("ι", True),
("α", True),
("ϟα", True),
("ἑκατόν", True),
("ἐνακόσια", True),
("δισχίλια", True),
("μύρια", True),
("εἷς", True),
("λόγος", False),
(",", False),
("λβ... | 24 | 543 |
spaCy | spacy/tests/lang/nl/test_noun_chunks.py | .py | import pytest
from spacy.tokens import Doc
from spacy.util import filter_spans
@pytest.fixture
def nl_sample(nl_vocab):
# TEXT :
# Haar vriend lacht luid. We kregen alweer ruzie toen we de supermarkt ingingen.
# Aan het begin van de supermarkt is al het fruit en de groentes. Uiteindelijk hebben we dan oo... | 227 | 4,304 |
spaCy | spacy/tests/lang/nl/test_text.py | .py | import pytest
from spacy.lang.nl.lex_attrs import like_num
@pytest.mark.parametrize("word", ["elf", "elfde"])
def test_nl_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())
@pytest.mark.parametrize(
"text,num_tokens",
[
(
"De aftredende minister-presid... | 26 | 694 |
spaCy | spacy/tests/lang/kmr/test_text.py | .py | import pytest
from spacy.lang.kmr.lex_attrs import like_num
@pytest.mark.parametrize(
"word",
[
"yekem",
"duyemîn",
"100em",
"dehem",
"sedemîn",
"34em",
"30yem",
"20emîn",
"50yemîn",
],
)
def test_kmr_lex_attrs_like_number_for_ordina... | 28 | 502 |
spaCy | spacy/tests/lang/ar/test_exceptions.py | .py | import pytest
@pytest.mark.parametrize("text", ["ق.م", "إلخ", "ص.ب", "ت."])
def test_ar_tokenizer_handles_abbr(ar_tokenizer, text):
tokens = ar_tokenizer(text)
assert len(tokens) == 1
def test_ar_tokenizer_handles_exc_in_text(ar_tokenizer):
text = "تعود الكتابة الهيروغليفية إلى سنة 3200 ق.م"
tokens ... | 21 | 621 |
spaCy | spacy/tests/lang/ar/test_text.py | .py | def test_ar_tokenizer_handles_long_text(ar_tokenizer):
text = """نجيب محفوظ مؤلف و كاتب روائي عربي، يعد من أهم الأدباء العرب خلال القرن العشرين.
ولد نجيب محفوظ في مدينة القاهرة، حيث ترعرع و تلقى تعليمه الجامعي في جامعتها،
فتمكن من نيل شهادة في الفلسفة. ألف محفوظ على مدار حياته الكثير من الأعمال الأدبية، ... | 10 | 821 |
spaCy | spacy/tests/lang/bn/test_tokenizer.py | .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... | 37 | 3,622 |
spaCy | spacy/tests/lang/fa/test_noun_chunks.py | .py | import pytest
def test_noun_chunks_is_parsed_fa(fa_tokenizer):
"""Test that noun_chunks raises Value Error for 'fa' language if Doc is not parsed."""
doc = fa_tokenizer("این یک جمله نمونه می باشد.")
with pytest.raises(ValueError):
list(doc.noun_chunks)
| 10 | 296 |
spaCy | spacy/tests/lang/ca/test_exception.py | .py | import pytest
@pytest.mark.parametrize(
"text,lemma",
[("aprox.", "aproximadament"), ("pàg.", "pàgina"), ("p.ex.", "per exemple")],
)
def test_ca_tokenizer_handles_abbr(ca_tokenizer, text, lemma):
tokens = ca_tokenizer(text)
assert len(tokens) == 1
def test_ca_tokenizer_handles_exc_in_text(ca_tokeni... | 29 | 621 |
spaCy | spacy/tests/lang/ca/test_prefix_suffix_infix.py | .py | import pytest
@pytest.mark.parametrize(
"text,expected_tokens",
[
("d'un", ["d'", "un"]),
("s'ha", ["s'", "ha"]),
("del", ["d", "el"]),
("cantar-te", ["cantar", "-te"]),
("-hola", ["-", "hola"]),
],
)
def test_contractions(ca_tokenizer, text, expected_tokens):
"... | 19 | 493 |
spaCy | spacy/tests/lang/ca/test_text.py | .py | """Test that longer and mixed texts are tokenized correctly."""
import pytest
def test_ca_tokenizer_handles_long_text(ca_tokenizer):
text = """Una taula amb grans gerres de begudes i palles de coloraines com a reclam. Una carta
cridanera amb ofertes de tapes, paelles i sangria. Un cambrer amb un somriure que... | 57 | 1,901 |
spaCy | spacy/tests/lang/eu/test_text.py | .py | import pytest
def test_eu_tokenizer_handles_long_text(eu_tokenizer):
text = """ta nere guitarra estrenatu ondoren"""
tokens = eu_tokenizer(text)
assert len(tokens) == 5
@pytest.mark.parametrize(
"text,length",
[
("milesker ederra joan zen hitzaldia plazer hutsa", 7),
("astelehen ... | 20 | 488 |
spaCy | spacy/tests/lang/cs/test_text.py | .py | import pytest
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10.000", True),
("1000", True),
("999,0", True),
("devatenáct", True),
("osmdesát", True),
("kvadrilion", True),
("Pes", False),
(",", False),
... | 24 | 510 |
spaCy | spacy/tests/lang/ne/test_text.py | .py | import pytest
def test_ne_tokenizer_handlers_long_text(ne_tokenizer):
text = """मैले पाएको सर्टिफिकेटलाई म त बोक्रो सम्झन्छु र अभ्यास तब सुरु भयो, जब मैले कलेज पार गरेँ र जीवनको पढाइ सुरु गरेँ ।"""
tokens = ne_tokenizer(text)
assert len(tokens) == 24
@pytest.mark.parametrize(
"text,length", [("समय ज... | 16 | 783 |
spaCy | spacy/tests/lang/ur/test_prefix_suffix_infix.py | .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
| 9 | 229 |
spaCy | spacy/tests/lang/ur/test_text.py | .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... | 14 | 479 |
spaCy | spacy/tests/lang/ti/test_text.py | .py | import pytest
def test_ti_tokenizer_handles_long_text(ti_tokenizer):
text = """ቻንስለር ጀርመን ኣንገላ መርከል ኣብታ ሃገር ቁጽሪ መትሓዝቲ ኮቪድ መዓልታዊ ክብረ መዝገብ ድሕሪ ምህራሙ- ጽኑዕ እገዳ ክግበር ጸዊዓ።
መርከል ሎሚ ንታሕታዋይ ባይቶ ሃገራ ክትገልጽ ከላ፡ ኣብ ወሳኒ ምዕራፍ ቃልሲ ኢና ዘለና-ዳሕራዋይ ማዕበል ካብቲ ቀዳማይ ክገድድ ይኽእል`ዩ ኢላ።
ትካል ምክልኻል ተላገብቲ ሕማማት ጀርመን፡ ኣብ ዝሓለፈ 24 ሰዓታት ኣብ ምልእቲ ጀርመር... | 52 | 2,120 |
spaCy | spacy/tests/lang/mk/test_text.py | .py | import pytest
from spacy.lang.mk.lex_attrs import like_num
def test_tokenizer_handles_long_text(mk_tokenizer):
text = """
Во организациските работи или на нашите собранија со членството, никој од нас не зборуваше за
организацијата и идеологијата. Работна беше нашата работа, а не идеолошка. Што се однесув... | 79 | 4,353 |
spaCy | spacy/tests/lang/hy/test_tokenizer.py | .py | import pytest
# TODO add test cases with valid punctuation signs.
hy_tokenize_text_test = [
(
"Մետաղագիտությունը պայմանականորեն բաժանվում է տեսականի և կիրառականի (տեխնիկական)",
[
"Մետաղագիտությունը",
"պայմանականորեն",
"բաժանվում",
"է",
"տ... | 45 | 1,350 |
spaCy | spacy/tests/lang/hy/test_text.py | .py | import pytest
from spacy.lang.hy.lex_attrs import like_num
@pytest.mark.parametrize("word", ["հիսուն"])
def test_hy_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())
| 10 | 211 |
spaCy | spacy/tests/lang/sk/test_tokenizer.py | .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 =... | 16 | 453 |
spaCy | spacy/tests/lang/sk/test_text.py | .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... | 49 | 1,485 |
spaCy | spacy/tests/lang/sl/test_tokenizer.py | .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",
... | 33 | 831 |
spaCy | spacy/tests/lang/sl/test_text.py | .py | 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 članicami, in da... | 24 | 977 |
spaCy | spacy/tests/lang/ko/test_serialize.py | .py | import pickle
from spacy.lang.ko import Korean
from ...util import make_tempdir
def test_ko_tokenizer_serialize(ko_tokenizer):
tokenizer_bytes = ko_tokenizer.to_bytes()
nlp = Korean()
nlp.tokenizer.from_bytes(tokenizer_bytes)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
with make_tempdir(... | 26 | 713 |
spaCy | spacy/tests/lang/ko/test_tokenizer.py | .py | import pytest
# fmt: off
TOKENIZER_TESTS = [("서울 타워 근처에 살고 있습니다.", "서울 타워 근처 에 살 고 있 습니다 ."),
("영등포구에 있는 맛집 좀 알려주세요.", "영등포구 에 있 는 맛집 좀 알려 주 세요 ."),
("10$ 할인코드를 적용할까요?", "10 $ 할인 코드 를 적용 할까요 ?")]
TAG_TESTS = [("서울 타워 근처에 살고 있습니다.",
"NNP NNG NNG JKB VV EC VX EF SF"),... | 76 | 2,893 |
spaCy | spacy/tests/lang/ko/test_lemmatization.py | .py | import pytest
@pytest.mark.parametrize(
"word,lemma",
[
("새로운", "새롭"),
("빨간", "빨갛"),
("클수록", "크"),
("뭡니까", "뭣"),
("됐다", "되"),
],
)
def test_ko_lemmatizer_assigns(ko_tokenizer, word, lemma):
test_lemma = ko_tokenizer(word)[0].lemma_
assert test_lemma == lemma... | 17 | 361 |
spaCy | spacy/tests/lang/sq/test_tokenizer.py | .py | import pytest
SQ_BASIC_TOKENIZATION_TESTS = [
(
"Askush nuk mund t’i nënshtrohet torturës ose dënimeve ose "
"trajtimeve çnjerëzore ose poshtëruese.",
[
"Askush",
"nuk",
"mund",
"t’i",
"nënshtrohet",
"torturës",
... | 32 | 817 |
spaCy | spacy/tests/lang/sq/test_text.py | .py | def test_long_text(sq_tokenizer):
# Excerpt: European Convention on Human Rights
text = """
Qeveritë nënshkruese, anëtare të Këshillit të Evropës,
Duke pasur parasysh Deklaratën Universale të të Drejtave të
Njeriut, të shpallur nga Asambleja e Përgjithshme e Kombeve të
Bashkuara më 10 dhjetor 1948;
Duke pasur p... | 23 | 1,162 |
spaCy | spacy/tests/lang/ro/test_tokenizer.py | .py | import pytest
TEST_CASES = [
(
"Adresa este str. Principală nr. 5.",
["Adresa", "este", "str.", "Principală", "nr.", "5", "."],
),
("Teste, etc.", ["Teste", ",", "etc."]),
("Lista, ș.a.m.d.", ["Lista", ",", "ș.a.m.d."]),
("Și d.p.d.v. al...", ["Și", "d.p.d.v.", "al", "..."]),
# ... | 22 | 733 |
spaCy | spacy/tests/lang/gu/test_text.py | .py | import pytest
def test_gu_tokenizer_handlers_long_text(gu_tokenizer):
text = """પશ્ચિમ ભારતમાં આવેલું ગુજરાત રાજ્ય જે વ્યક્તિઓની માતૃભૂમિ છે"""
tokens = gu_tokenizer(text)
assert len(tokens) == 9
@pytest.mark.parametrize(
"text,length",
[("ગુજરાતીઓ ખાવાના શોખીન માનવામાં આવે છે", 6), ("ખેતરની ખેડ... | 17 | 685 |
spaCy | spacy/tests/lang/lb/test_exceptions.py | .py | import pytest
@pytest.mark.parametrize("text", ["z.B.", "Jan."])
def test_lb_tokenizer_handles_abbr(lb_tokenizer, text):
tokens = lb_tokenizer(text)
assert len(tokens) == 1
@pytest.mark.parametrize("text", ["d'Saach", "d'Kanner", "d’Welt", "d’Suen"])
def test_lb_tokenizer_splits_contractions(lb_tokenizer, t... | 21 | 590 |
spaCy | spacy/tests/lang/lb/test_prefix_suffix_infix.py | .py | import pytest
@pytest.mark.parametrize("text,length", [("z.B.", 1), ("zb.", 2), ("(z.B.", 2)])
def test_lb_tokenizer_splits_prefix_interact(lb_tokenizer, text, length):
tokens = lb_tokenizer(text)
assert len(tokens) == length
@pytest.mark.parametrize("text", ["z.B.)"])
def test_lb_tokenizer_splits_suffix_in... | 20 | 584 |
spaCy | spacy/tests/lang/lb/test_text.py | .py | import pytest
def test_lb_tokenizer_handles_long_text(lb_tokenizer):
text = """Den Nordwand an d'Sonn An der Zäit hunn sech den Nordwand an d'Sonn gestridden, wie vun hinnen zwee wuel méi staark wier, wéi e Wanderer, deen an ee waarme Mantel agepak war, iwwert de Wee koum. Si goufen sech eens, dass deejéinege fir... | 22 | 1,302 |
spaCy | spacy/tests/lang/th/test_serialize.py | .py | import pickle
from spacy.lang.th import Thai
from ...util import make_tempdir
def test_th_tokenizer_serialize(th_tokenizer):
tokenizer_bytes = th_tokenizer.to_bytes()
nlp = Thai()
nlp.tokenizer.from_bytes(tokenizer_bytes)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
with make_tempdir() as... | 26 | 707 |
spaCy | spacy/tests/lang/th/test_tokenizer.py | .py | import pytest
@pytest.mark.parametrize(
"text,expected_tokens", [("คุณรักผมไหม", ["คุณ", "รัก", "ผม", "ไหม"])]
)
def test_th_tokenizer(th_tokenizer, text, expected_tokens):
tokens = [token.text for token in th_tokenizer(text)]
assert tokens == expected_tokens
| 10 | 318 |
spaCy | spacy/tests/lang/ms/test_prefix_suffix_infix.py | .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... | 113 | 3,512 |
spaCy | spacy/tests/lang/ms/test_noun_chunks.py | .py | import pytest
def test_noun_chunks_is_parsed_ms(ms_tokenizer):
"""Test that noun_chunks raises Value Error for 'ms' language if Doc is not parsed."""
doc = ms_tokenizer("sebelas")
with pytest.raises(ValueError):
list(doc.noun_chunks)
| 9 | 256 |
spaCy | spacy/tests/lang/ms/test_text.py | .py | import pytest
from spacy.lang.ms.lex_attrs import like_num
@pytest.mark.parametrize("word", ["sebelas"])
def test_ms_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())
| 10 | 206 |
spaCy | spacy/tests/lang/en/test_customized_tokenizer.py | .py | import re
import pytest
from spacy.lang.en import English
from spacy.tokenizer import Tokenizer
from spacy.util import compile_infix_regex, compile_prefix_regex, compile_suffix_regex
@pytest.fixture
def custom_en_tokenizer(en_vocab):
prefix_re = compile_prefix_regex(English.Defaults.prefixes)
suffix_re = co... | 155 | 3,778 |
spaCy | spacy/tests/lang/en/test_sbd.py | .py | import pytest
from spacy.tokens import Doc
from ...util import apply_transition_sequence
@pytest.mark.issue(309)
def test_issue309(en_vocab):
"""Test Issue #309: SBD fails on empty string"""
doc = Doc(en_vocab, words=[" "], heads=[0], deps=["ROOT"])
assert len(doc) == 1
sents = list(doc.sents)
a... | 47 | 1,708 |
spaCy | spacy/tests/lang/en/test_exceptions.py | .py | import pytest
def test_en_tokenizer_handles_basic_contraction(en_tokenizer):
text = "don't giggle"
tokens = en_tokenizer(text)
assert len(tokens) == 3
assert tokens[1].text == "n't"
text = "i said don't!"
tokens = en_tokenizer(text)
assert len(tokens) == 5
assert tokens[4].text == "!"
... | 128 | 4,158 |
spaCy | spacy/tests/lang/en/test_prefix_suffix_infix.py | .py | import pytest
@pytest.mark.parametrize("text", ["(can)"])
def test_en_tokenizer_splits_no_special(en_tokenizer, text):
tokens = en_tokenizer(text)
assert len(tokens) == 3
@pytest.mark.parametrize("text", ["can't"])
def test_en_tokenizer_splits_no_punct(en_tokenizer, text):
tokens = en_tokenizer(text)
... | 138 | 4,254 |
spaCy | spacy/tests/lang/en/test_punct.py | .py | import pytest
from spacy.lang.punctuation import TOKENIZER_PREFIXES
from spacy.util import compile_prefix_regex
PUNCT_OPEN = ["(", "[", "{", "*"]
PUNCT_CLOSE = [")", "]", "}", "*"]
PUNCT_PAIRED = [("(", ")"), ("[", "]"), ("{", "}"), ("*", "*")]
@pytest.mark.parametrize("text", ["(", "((", "<"])
def test_en_tokenize... | 128 | 4,422 |
spaCy | spacy/tests/lang/en/test_parser.py | .py | from spacy.tokens import Doc
def test_en_parser_noun_chunks_standard(en_vocab):
words = ["A", "base", "phrase", "should", "be", "recognized", "."]
heads = [2, 2, 5, 5, 5, 5, 5]
pos = ["DET", "ADJ", "NOUN", "AUX", "VERB", "VERB", "PUNCT"]
deps = ["det", "amod", "nsubjpass", "aux", "auxpass", "ROOT", "p... | 67 | 2,954 |
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