mirror of https://github.com/explosion/spaCy.git
55 lines
1.2 KiB
Python
55 lines
1.2 KiB
Python
from __future__ import unicode_literals
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import pytest
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import io
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import cloudpickle
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import pickle
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from spacy.attrs import LEMMA, ORTH, PROB, IS_ALPHA
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from spacy.parts_of_speech import NOUN, VERB
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from spacy.attrs import LEMMA, ORTH, PROB, IS_ALPHA
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from spacy.parts_of_speech import NOUN, VERB
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def test_neq(en_vocab):
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addr = en_vocab['Hello']
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assert en_vocab['bye'].orth != addr.orth
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def test_eq(en_vocab):
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addr = en_vocab['Hello']
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assert en_vocab['Hello'].orth == addr.orth
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def test_case_neq(en_vocab):
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addr = en_vocab['Hello']
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assert en_vocab['hello'].orth != addr.orth
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def test_punct_neq(en_vocab):
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addr = en_vocab['Hello']
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assert en_vocab['Hello,'].orth != addr.orth
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def test_shape_attr(en_vocab):
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example = en_vocab['example']
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assert example.orth != example.shape
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def test_symbols(en_vocab):
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assert en_vocab.strings['IS_ALPHA'] == IS_ALPHA
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assert en_vocab.strings['NOUN'] == NOUN
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assert en_vocab.strings['VERB'] == VERB
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assert en_vocab.strings['LEMMA'] == LEMMA
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assert en_vocab.strings['ORTH'] == ORTH
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assert en_vocab.strings['PROB'] == PROB
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def test_pickle_vocab(en_vocab):
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file_ = io.BytesIO()
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cloudpickle.dump(en_vocab, file_)
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file_.seek(0)
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loaded = pickle.load(file_)
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