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7b134b8fbd
* Added Slovak * Added Slovenian tests * Added Estonian tests * Added Croatian tests * Added Latvian tests * Added Icelandic tests * Added Afrikaans tests * Added language-independent tests * Added Kannada tests * Tidied up * Added Albanian tests * Formatted with black * Added failing tests for anomalies * Update spacy/tests/lang/af/test_text.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Added context to failing Estonian tokenizer test Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Added context to failing Croatian tokenizer test Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Added context to failing Icelandic tokenizer test Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Added context to failing Latvian tokenizer test Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Added context to failing Slovak tokenizer test Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Added context to failing Slovenian tokenizer test Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
33 lines
831 B
Python
33 lines
831 B
Python
import pytest
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SL_BASIC_TOKENIZATION_TESTS = [
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(
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"Vsakdo ima pravico do spoštovanja njegovega zasebnega in "
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"družinskega življenja, doma in dopisovanja.",
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[
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"Vsakdo",
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"ima",
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"pravico",
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"do",
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"spoštovanja",
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"njegovega",
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"zasebnega",
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"in",
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"družinskega",
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"življenja",
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",",
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"doma",
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"in",
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"dopisovanja",
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".",
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],
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),
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]
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@pytest.mark.parametrize("text,expected_tokens", SL_BASIC_TOKENIZATION_TESTS)
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def test_sl_tokenizer_basic(sl_tokenizer, text, expected_tokens):
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tokens = sl_tokenizer(text)
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token_list = [token.text for token in tokens if not token.is_space]
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assert expected_tokens == token_list
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