mirror of https://github.com/explosion/spaCy.git
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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import numpy
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import srsly
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from spacy.strings import StringStore
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from spacy.vocab import Vocab
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from spacy.attrs import NORM
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@pytest.mark.parametrize("text1,text2", [("hello", "bye")])
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def test_pickle_string_store(text1, text2):
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stringstore = StringStore()
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store1 = stringstore[text1]
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store2 = stringstore[text2]
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data = srsly.pickle_dumps(stringstore, protocol=-1)
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unpickled = srsly.pickle_loads(data)
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assert unpickled[text1] == store1
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assert unpickled[text2] == store2
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assert len(stringstore) == len(unpickled)
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@pytest.mark.parametrize("text1,text2", [("dog", "cat")])
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def test_pickle_vocab(text1, text2):
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vocab = Vocab(lex_attr_getters={int(NORM): lambda string: string[:-1]})
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vocab.set_vector("dog", numpy.ones((5,), dtype="f"))
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lex1 = vocab[text1]
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lex2 = vocab[text2]
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assert lex1.norm_ == text1[:-1]
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assert lex2.norm_ == text2[:-1]
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data = pickle.dumps(vocab)
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unpickled = pickle.loads(data)
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assert unpickled[text1].orth == lex1.orth
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assert unpickled[text2].orth == lex2.orth
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assert unpickled[text1].norm == lex1.norm
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assert unpickled[text2].norm == lex2.norm
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assert unpickled[text1].norm != unpickled[text2].norm
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assert unpickled.vectors is not None
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assert list(vocab["dog"].vector) == [1.0, 1.0, 1.0, 1.0, 1.0]
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