spaCy/spacy/tests/lang/en/test_text.py
Ines Montani db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00

65 lines
1.8 KiB
Python

import pytest
from spacy.lang.en.lex_attrs import like_num
def test_en_tokenizer_handles_long_text(en_tokenizer):
text = """Tributes pour in for late British Labour Party leader
Tributes poured in from around the world Thursday
to the late Labour Party leader John Smith, who died earlier from a massive
heart attack aged 55.
In Washington, the US State Department issued a statement regretting "the
untimely death" of the rapier-tongued Scottish barrister and parliamentarian.
"Mr. Smith, throughout his distinguished"""
tokens = en_tokenizer(text)
assert len(tokens) == 76
@pytest.mark.parametrize(
"text,length",
[
("The U.S. Army likes Shock and Awe.", 8),
("U.N. regulations are not a part of their concern.", 10),
("“Isn't it?”", 6),
("""Yes! "I'd rather have a walk", Ms. Comble sighed. """, 15),
("""'Me too!', Mr. P. Delaware cried. """, 11),
("They ran about 10km.", 6),
pytest.param(
"But then the 6,000-year ice age came...", 10, marks=pytest.mark.xfail()
),
],
)
def test_en_tokenizer_handles_cnts(en_tokenizer, text, length):
tokens = en_tokenizer(text)
assert len(tokens) == length
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10,000", True),
("10,00", True),
("999.0", True),
("one", True),
("two", True),
("billion", True),
("dog", False),
(",", False),
("1/2", True),
],
)
def test_lex_attrs_like_number(en_tokenizer, text, match):
tokens = en_tokenizer(text)
assert len(tokens) == 1
assert tokens[0].like_num == match
@pytest.mark.parametrize("word", ["eleven"])
def test_en_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())