mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 02:16:32 +03:00
41389ffe1e
* `Language.pipe()`: Serialize `Doc` objects to bytes when using multiprocessing to avoid pickling overhead * `Doc.to_dict()`: Serialize `_context` attribute (keeping in line with `(un)pickle_doc()` * Correct type annotations * Fix typo * `Doc`: Do not serialize `_context` * `Language.pipe`: Send context objects to child processes, Simplify `as_tuples` handling * Fix type annotation * `Language.pipe`: Simplify `as_tuple` multiprocessor handling * Cleanup code, fix typos * MyPy fixes * Move doc preparation function into `_multiprocessing_pipe` Whitespace changes * Remove superfluous comma * Rename `prepare_doc` to `prepare_input` * Update spacy/errors.py * Undo renaming for error Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
55 lines
1.4 KiB
Python
55 lines
1.4 KiB
Python
from spacy.language import Language
|
|
from spacy.compat import pickle
|
|
|
|
|
|
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!"
|