mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
from __future__ import unicode_literals
|
|
|
|
from ...language import Language
|
|
from ...compat import pickle, unicode_
|
|
|
|
|
|
def test_pickle_single_doc():
|
|
nlp = Language()
|
|
doc = nlp(u'pickle roundtrip')
|
|
data = pickle.dumps(doc, 1)
|
|
doc2 = pickle.loads(data)
|
|
assert doc2.text == 'pickle roundtrip'
|
|
|
|
|
|
def test_list_of_docs_pickles_efficiently():
|
|
nlp = Language()
|
|
for i in range(10000):
|
|
_ = nlp.vocab[unicode_(i)]
|
|
one_pickled = pickle.dumps(nlp(u'0'), -1)
|
|
docs = list(nlp.pipe(unicode_(i) for i in range(100)))
|
|
many_pickled = pickle.dumps(docs, -1)
|
|
assert len(many_pickled) < (len(one_pickled) * 2)
|
|
many_unpickled = pickle.loads(many_pickled)
|
|
assert many_unpickled[0].text == '0'
|
|
assert many_unpickled[-1].text == '99'
|
|
assert len(many_unpickled) == 100
|
|
|
|
|
|
def test_user_data_from_disk():
|
|
nlp = Language()
|
|
doc = nlp(u'Hello')
|
|
doc.user_data[(0, 1)] = False
|
|
b = doc.to_bytes()
|
|
doc2 = doc.__class__(doc.vocab).from_bytes(b)
|
|
assert doc2.user_data[(0, 1)] == False
|
|
|
|
def test_user_data_unpickles():
|
|
nlp = Language()
|
|
doc = nlp(u'Hello')
|
|
doc.user_data[(0, 1)] = False
|
|
b = pickle.dumps(doc)
|
|
doc2 = pickle.loads(b)
|
|
assert doc2.user_data[(0, 1)] == False
|
|
|
|
|
|
def test_hooks_unpickle():
|
|
def inner_func(d1, d2):
|
|
return 'hello!'
|
|
nlp = Language()
|
|
doc = nlp(u'Hello')
|
|
doc.user_hooks['similarity'] = inner_func
|
|
b = pickle.dumps(doc)
|
|
doc2 = pickle.loads(b)
|
|
assert doc2.similarity(None) == 'hello!'
|