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	* 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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