mirror of https://github.com/explosion/spaCy.git
56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from spacy.language import Language
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from spacy.compat import pickle, unicode_
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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[unicode_(i)]
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one_pickled = pickle.dumps(nlp('0'), -1)
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docs = list(nlp.pipe(unicode_(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)] == 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)] == 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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