mirror of
				https://github.com/explosion/spaCy.git
				synced 2025-11-04 18:07:26 +03:00 
			
		
		
		
	* Auto-format tests with black * Add flake8 config * Tidy up and remove unused imports * Fix redefinitions of test functions * Replace orths_and_spaces with words and spaces * Fix compatibility with pytest 4.0 * xfail test for now Test was previously overwritten by following test due to naming conflict, so failure wasn't reported * Unfail passing test * Only use fixture via arguments Fixes pytest 4.0 compatibility
		
			
				
	
	
		
			51 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			51 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# coding: utf8
 | 
						|
from __future__ import unicode_literals
 | 
						|
 | 
						|
import pytest
 | 
						|
from spacy.language import Language
 | 
						|
from spacy.tokens import Span
 | 
						|
 | 
						|
from ..util import get_doc
 | 
						|
 | 
						|
 | 
						|
@pytest.fixture
 | 
						|
def doc(en_tokenizer):
 | 
						|
    text = "I like New York in Autumn."
 | 
						|
    heads = [1, 0, 1, -2, -3, -1, -5]
 | 
						|
    tags = ["PRP", "IN", "NNP", "NNP", "IN", "NNP", "."]
 | 
						|
    pos = ["PRON", "VERB", "PROPN", "PROPN", "ADP", "PROPN", "PUNCT"]
 | 
						|
    deps = ["ROOT", "prep", "compound", "pobj", "prep", "pobj", "punct"]
 | 
						|
    tokens = en_tokenizer(text)
 | 
						|
    doc = get_doc(
 | 
						|
        tokens.vocab,
 | 
						|
        words=[t.text for t in tokens],
 | 
						|
        heads=heads,
 | 
						|
        tags=tags,
 | 
						|
        pos=pos,
 | 
						|
        deps=deps,
 | 
						|
    )
 | 
						|
    doc.ents = [Span(doc, 2, 4, doc.vocab.strings["GPE"])]
 | 
						|
    doc.is_parsed = True
 | 
						|
    doc.is_tagged = True
 | 
						|
    return doc
 | 
						|
 | 
						|
 | 
						|
def test_factories_merge_noun_chunks(doc):
 | 
						|
    assert len(doc) == 7
 | 
						|
    nlp = Language()
 | 
						|
    merge_noun_chunks = nlp.create_pipe("merge_noun_chunks")
 | 
						|
    merge_noun_chunks(doc)
 | 
						|
    assert len(doc) == 6
 | 
						|
    assert doc[2].text == "New York"
 | 
						|
 | 
						|
 | 
						|
def test_factories_merge_ents(doc):
 | 
						|
    assert len(doc) == 7
 | 
						|
    assert len(list(doc.ents)) == 1
 | 
						|
    nlp = Language()
 | 
						|
    merge_entities = nlp.create_pipe("merge_entities")
 | 
						|
    merge_entities(doc)
 | 
						|
    assert len(doc) == 6
 | 
						|
    assert len(list(doc.ents)) == 1
 | 
						|
    assert doc[2].text == "New York"
 |