mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 03:19:13 +03:00
e2b70df012
* Use isort with Black profile * isort all the things * Fix import cycles as a result of import sorting * Add DOCBIN_ALL_ATTRS type definition * Add isort to requirements * Remove isort from build dependencies check * Typo
55 lines
1.4 KiB
Python
55 lines
1.4 KiB
Python
from spacy.compat import pickle
|
|
from spacy.language import Language
|
|
|
|
|
|
def test_pickle_single_doc():
|
|
nlp = Language()
|
|
doc = nlp("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[str(i)] # noqa: F841
|
|
one_pickled = pickle.dumps(nlp("0"), -1)
|
|
docs = list(nlp.pipe(str(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("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)] is False
|
|
|
|
|
|
def test_user_data_unpickles():
|
|
nlp = Language()
|
|
doc = nlp("Hello")
|
|
doc.user_data[(0, 1)] = False
|
|
b = pickle.dumps(doc)
|
|
doc2 = pickle.loads(b)
|
|
assert doc2.user_data[(0, 1)] is False
|
|
|
|
|
|
def test_hooks_unpickle():
|
|
def inner_func(d1, d2):
|
|
return "hello!"
|
|
|
|
nlp = Language()
|
|
doc = nlp("Hello")
|
|
doc.user_hooks["similarity"] = inner_func
|
|
b = pickle.dumps(doc)
|
|
doc2 = pickle.loads(b)
|
|
assert doc2.similarity(None) == "hello!"
|