mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 19:39:13 +03:00
62 lines
1.8 KiB
Python
62 lines
1.8 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
from ...util import get_lang_class
|
|
from ...attrs import LIKE_NUM
|
|
|
|
import pytest
|
|
|
|
|
|
@pytest.mark.parametrize('word', ['eleven'])
|
|
def test_en_lex_attrs(word):
|
|
lang = get_lang_class('en')
|
|
like_num = lang.Defaults.lex_attr_getters[LIKE_NUM]
|
|
assert like_num(word) == like_num(word.upper())
|
|
|
|
|
|
@pytest.mark.slow
|
|
@pytest.mark.parametrize('word', ['elleve', 'første'])
|
|
def test_da_lex_attrs(word):
|
|
lang = get_lang_class('da')
|
|
like_num = lang.Defaults.lex_attr_getters[LIKE_NUM]
|
|
assert like_num(word) == like_num(word.upper())
|
|
|
|
|
|
@pytest.mark.slow
|
|
@pytest.mark.parametrize('word', ['onze', 'onzième'])
|
|
def test_fr_lex_attrs(word):
|
|
lang = get_lang_class('fr')
|
|
like_num = lang.Defaults.lex_attr_getters[LIKE_NUM]
|
|
assert like_num(word) == like_num(word.upper())
|
|
|
|
|
|
@pytest.mark.slow
|
|
@pytest.mark.parametrize('word', ['sebelas'])
|
|
def test_id_lex_attrs(word):
|
|
lang = get_lang_class('id')
|
|
like_num = lang.Defaults.lex_attr_getters[LIKE_NUM]
|
|
assert like_num(word) == like_num(word.upper())
|
|
|
|
|
|
@pytest.mark.slow
|
|
@pytest.mark.parametrize('word', ['elf', 'elfde'])
|
|
def test_nl_lex_attrs(word):
|
|
lang = get_lang_class('nl')
|
|
like_num = lang.Defaults.lex_attr_getters[LIKE_NUM]
|
|
assert like_num(word) == like_num(word.upper())
|
|
|
|
|
|
@pytest.mark.slow
|
|
@pytest.mark.parametrize('word', ['onze', 'quadragésimo'])
|
|
def test_pt_lex_attrs(word):
|
|
lang = get_lang_class('pt')
|
|
like_num = lang.Defaults.lex_attr_getters[LIKE_NUM]
|
|
assert like_num(word) == like_num(word.upper())
|
|
|
|
|
|
@pytest.mark.slow
|
|
@pytest.mark.parametrize('word', ['одиннадцать'])
|
|
def test_ru_lex_attrs(word):
|
|
lang = get_lang_class('ru')
|
|
like_num = lang.Defaults.lex_attr_getters[LIKE_NUM]
|
|
assert like_num(word) == like_num(word.upper())
|