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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
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from spacy.compat import pickle
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def test_pickle_single_doc():
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nlp = Language()
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doc = nlp("pickle roundtrip")
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data = pickle.dumps(doc, 1)
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doc2 = pickle.loads(data)
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assert doc2.text == "pickle roundtrip"
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def test_list_of_docs_pickles_efficiently():
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nlp = Language()
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for i in range(10000):
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_ = nlp.vocab[str(i)] # noqa: F841
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one_pickled = pickle.dumps(nlp("0"), -1)
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docs = list(nlp.pipe(str(i) for i in range(100)))
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many_pickled = pickle.dumps(docs, -1)
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assert len(many_pickled) < (len(one_pickled) * 2)
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many_unpickled = pickle.loads(many_pickled)
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assert many_unpickled[0].text == "0"
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assert many_unpickled[-1].text == "99"
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assert len(many_unpickled) == 100
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def test_user_data_from_disk():
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nlp = Language()
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doc = nlp("Hello")
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doc.user_data[(0, 1)] = False
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b = doc.to_bytes()
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doc2 = doc.__class__(doc.vocab).from_bytes(b)
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assert doc2.user_data[(0, 1)] is False
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def test_user_data_unpickles():
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nlp = Language()
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doc = nlp("Hello")
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doc.user_data[(0, 1)] = False
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b = pickle.dumps(doc)
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doc2 = pickle.loads(b)
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assert doc2.user_data[(0, 1)] is False
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def test_hooks_unpickle():
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def inner_func(d1, d2):
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return "hello!"
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nlp = Language()
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doc = nlp("Hello")
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doc.user_hooks["similarity"] = inner_func
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b = pickle.dumps(doc)
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doc2 = pickle.loads(b)
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assert doc2.similarity(None) == "hello!"
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