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	* Migrate regressions 1-1000 * Move serialize test to correct file * Remove tests that won't work in v3 * Migrate regressions 1000-1500 Removed regression test 1250 because v3 doesn't support the old LEX scheme anymore. * Add missing imports in serializer tests * Migrate tests 1500-2000 * Migrate regressions from 2000-2500 * Migrate regressions from 2501-3000 * Migrate regressions from 3000-3501 * Migrate regressions from 3501-4000 * Migrate regressions from 4001-4500 * Migrate regressions from 4501-5000 * Migrate regressions from 5001-5501 * Migrate regressions from 5501 to 7000 * Migrate regressions from 7001 to 8000 * Migrate remaining regression tests * Fixing missing imports * Update docs with new system [ci skip] * Update CONTRIBUTING.md - Fix formatting - Update wording * Remove lemmatizer tests in el lang * Move a few tests into the general tokenizer * Separate Doc and DocBin tests
		
			
				
	
	
		
			46 lines
		
	
	
		
			1.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			46 lines
		
	
	
		
			1.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import pytest
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from spacy.tokens import Doc
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from ...util import apply_transition_sequence
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@pytest.mark.issue(309)
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def test_issue309(en_vocab):
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    """Test Issue #309: SBD fails on empty string"""
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    doc = Doc(en_vocab, words=[" "], heads=[0], deps=["ROOT"])
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    assert len(doc) == 1
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    sents = list(doc.sents)
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    assert len(sents) == 1
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@pytest.mark.parametrize("words", [["A", "test", "sentence"]])
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@pytest.mark.parametrize("punct", [".", "!", "?", ""])
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def test_en_sbd_single_punct(en_vocab, words, punct):
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    heads = [2, 2, 2, 2] if punct else [2, 2, 2]
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    deps = ["dep"] * len(heads)
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    words = [*words, punct] if punct else words
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    doc = Doc(en_vocab, words=words, heads=heads, deps=deps)
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    assert len(doc) == 4 if punct else 3
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    assert len(list(doc.sents)) == 1
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    assert sum(len(sent) for sent in doc.sents) == len(doc)
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@pytest.mark.skip(
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    reason="The step_through API was removed (but should be brought back)"
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)
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def test_en_sentence_breaks(en_vocab, en_parser):
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    # fmt: off
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    words = ["This", "is", "a", "sentence", ".", "This", "is", "another", "one", "."]
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    heads = [1, 1, 3, 1, 1, 6, 6, 8, 6, 6]
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    deps = ["nsubj", "ROOT", "det", "attr", "punct", "nsubj", "ROOT", "det",
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            "attr", "punct"]
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    transition = ["L-nsubj", "S", "L-det", "R-attr", "D", "R-punct", "B-ROOT",
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                  "L-nsubj", "S", "L-attr", "R-attr", "D", "R-punct"]
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    # fmt: on
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    doc = Doc(en_vocab, words=words, heads=heads, deps=deps)
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    apply_transition_sequence(en_parser, doc, transition)
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    assert len(list(doc.sents)) == 2
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    for token in doc:
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        assert token.dep != 0 or token.is_space
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    assert [token.head.i for token in doc] == [1, 1, 3, 1, 1, 6, 6, 8, 6, 6]
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