mirror of
				https://github.com/explosion/spaCy.git
				synced 2025-11-04 01:48:04 +03:00 
			
		
		
		
	
		
			
				
	
	
		
			75 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			75 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# coding: utf-8
 | 
						|
from __future__ import unicode_literals
 | 
						|
 | 
						|
from ..util import make_tempdir
 | 
						|
from ...util import ensure_path
 | 
						|
 | 
						|
from spacy.kb import KnowledgeBase
 | 
						|
 | 
						|
 | 
						|
def test_serialize_kb_disk(en_vocab):
 | 
						|
    # baseline assertions
 | 
						|
    kb1 = _get_dummy_kb(en_vocab)
 | 
						|
    _check_kb(kb1)
 | 
						|
 | 
						|
    # dumping to file & loading back in
 | 
						|
    with make_tempdir() as d:
 | 
						|
        dir_path = ensure_path(d)
 | 
						|
        if not dir_path.exists():
 | 
						|
            dir_path.mkdir()
 | 
						|
        file_path = dir_path / "kb"
 | 
						|
        kb1.dump(str(file_path))
 | 
						|
 | 
						|
        kb2 = KnowledgeBase(vocab=en_vocab, entity_vector_length=3)
 | 
						|
        kb2.load_bulk(str(file_path))
 | 
						|
 | 
						|
    # final assertions
 | 
						|
    _check_kb(kb2)
 | 
						|
 | 
						|
 | 
						|
def _get_dummy_kb(vocab):
 | 
						|
    kb = KnowledgeBase(vocab=vocab, entity_vector_length=3)
 | 
						|
 | 
						|
    kb.add_entity(entity='Q53', freq=0.33, entity_vector=[0, 5, 3])
 | 
						|
    kb.add_entity(entity='Q17', freq=0.2, entity_vector=[7, 1, 0])
 | 
						|
    kb.add_entity(entity='Q007', freq=0.7, entity_vector=[0, 0, 7])
 | 
						|
    kb.add_entity(entity='Q44', freq=0.4, entity_vector=[4, 4, 4])
 | 
						|
 | 
						|
    kb.add_alias(alias='double07', entities=['Q17', 'Q007'], probabilities=[0.1, 0.9])
 | 
						|
    kb.add_alias(alias='guy', entities=['Q53', 'Q007', 'Q17', 'Q44'], probabilities=[0.3, 0.3, 0.2, 0.1])
 | 
						|
    kb.add_alias(alias='random', entities=['Q007'], probabilities=[1.0])
 | 
						|
 | 
						|
    return kb
 | 
						|
 | 
						|
 | 
						|
def _check_kb(kb):
 | 
						|
    # check entities
 | 
						|
    assert kb.get_size_entities() == 4
 | 
						|
    for entity_string in ['Q53', 'Q17', 'Q007', 'Q44']:
 | 
						|
        assert entity_string in kb.get_entity_strings()
 | 
						|
    for entity_string in ['', 'Q0']:
 | 
						|
        assert entity_string not in kb.get_entity_strings()
 | 
						|
 | 
						|
    # check aliases
 | 
						|
    assert kb.get_size_aliases() == 3
 | 
						|
    for alias_string in ['double07', 'guy', 'random']:
 | 
						|
        assert alias_string in kb.get_alias_strings()
 | 
						|
    for alias_string in ['nothingness', '', 'randomnoise']:
 | 
						|
        assert alias_string not in kb.get_alias_strings()
 | 
						|
 | 
						|
    # check candidates & probabilities
 | 
						|
    candidates = sorted(kb.get_candidates('double07'), key=lambda x: x.entity_)
 | 
						|
    assert len(candidates) == 2
 | 
						|
 | 
						|
    assert candidates[0].entity_ == 'Q007'
 | 
						|
    assert 0.6999 < candidates[0].entity_freq < 0.701
 | 
						|
    assert candidates[0].entity_vector == [0, 0, 7]
 | 
						|
    assert candidates[0].alias_ == 'double07'
 | 
						|
    assert 0.899 < candidates[0].prior_prob < 0.901
 | 
						|
 | 
						|
    assert candidates[1].entity_ == 'Q17'
 | 
						|
    assert 0.199 < candidates[1].entity_freq < 0.201
 | 
						|
    assert candidates[1].entity_vector == [7, 1, 0]
 | 
						|
    assert candidates[1].alias_ == 'double07'
 | 
						|
    assert 0.099 < candidates[1].prior_prob < 0.101
 |