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			37 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			37 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # coding: utf-8
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| from __future__ import unicode_literals
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| 
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| import pytest
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| 
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| from ...util import get_doc, apply_transition_sequence
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| 
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| 
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| @pytest.mark.parametrize("text", ["A test sentence"])
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| @pytest.mark.parametrize("punct", [".", "!", "?", ""])
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| def test_en_sbd_single_punct(en_tokenizer, text, punct):
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|     heads = [2, 1, 0, -1] if punct else [2, 1, 0]
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|     tokens = en_tokenizer(text + punct)
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|     doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads)
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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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| 
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| 
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| @pytest.mark.xfail
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| def test_en_sentence_breaks(en_tokenizer, en_parser):
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|     # fmt: off
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|     text = "This is a sentence . This is another one ."
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|     heads = [1, 0, 1, -2, -3, 1, 0, 1, -2, -3]
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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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|     tokens = en_tokenizer(text)
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|     doc = get_doc(tokens.vocab, words=[t.text for t in tokens], 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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