mirror of https://github.com/explosion/spaCy.git
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
from __future__ import unicode_literals
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from spacy.tokens import Doc
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import pytest
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@pytest.mark.models
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def test_getitem(EN):
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tokens = EN(u'Give it back! He pleaded.')
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assert tokens[0].orth_ == 'Give'
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assert tokens[-1].orth_ == '.'
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with pytest.raises(IndexError):
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tokens[len(tokens)]
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@pytest.mark.models
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def test_serialize(EN):
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tokens = EN(u'Give it back! He pleaded.')
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packed = tokens.to_bytes()
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new_tokens = Doc(EN.vocab).from_bytes(packed)
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assert tokens.string == new_tokens.string
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assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens]
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assert [t.orth for t in tokens] == [t.orth for t in new_tokens]
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@pytest.mark.models
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def test_serialize_whitespace(EN):
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tokens = EN(u' Give it back! He pleaded. ')
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packed = tokens.to_bytes()
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new_tokens = Doc(EN.vocab).from_bytes(packed)
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assert tokens.string == new_tokens.string
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assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens]
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assert [t.orth for t in tokens] == [t.orth for t in new_tokens]
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def test_set_ents(EN):
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tokens = EN.tokenizer(u'I use goggle chrone to surf the web')
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assert len(tokens.ents) == 0
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tokens.ents = [(EN.vocab.strings['PRODUCT'], 2, 4)]
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assert len(list(tokens.ents)) == 1
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assert [t.ent_iob for t in tokens] == [0, 0, 3, 1, 0, 0, 0, 0]
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ent = tokens.ents[0]
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assert ent.label_ == 'PRODUCT'
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assert ent.start == 2
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assert ent.end == 4
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