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64 lines
1.3 KiB
Python
64 lines
1.3 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from spacy.util import get_lang_class
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# Only include languages with no external dependencies
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# "is" seems to confuse importlib, so we're also excluding it for now
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# excluded: ja, ru, th, uk, vi, zh, is
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LANGUAGES = [
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"af",
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"ar",
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"bg",
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"bn",
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pytest.param("ca", marks=pytest.mark.xfail()),
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"cs",
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"da",
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"de",
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"el",
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"en",
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"es",
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"et",
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"fa",
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"fi",
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pytest.param("fr", marks=pytest.mark.xfail()),
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"ga",
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"he",
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"hi",
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"hr",
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pytest.param("hu", marks=pytest.mark.xfail()),
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"id",
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"it",
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"kn",
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"lt",
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"lv",
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"nb",
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"nl",
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pytest.param("pl", marks=pytest.mark.xfail()),
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"pt",
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"ro",
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"si",
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"sk",
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"sl",
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"sq",
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"sr",
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"sv",
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"ta",
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"te",
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"tl",
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"tr",
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"tt",
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"ur",
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]
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# @pytest.mark.slow
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@pytest.mark.parametrize("lang", LANGUAGES)
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def test_tokenizer_explain(lang):
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nlp = get_lang_class(lang)()
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examples = pytest.importorskip("spacy.lang.{}.examples".format(lang))
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for sentence in examples.sentences:
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tokens = [t.text for t in nlp.tokenizer(sentence) if not t.is_space]
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debug_tokens = [t[1] for t in nlp.tokenizer.explain(sentence)]
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assert tokens == debug_tokens
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