mirror of https://github.com/explosion/spaCy.git
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from ..util import get_doc, assert_docs_equal
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from ...tokens import Doc
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import pytest
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TEXT = ["This", "is", "a", "test", "sentence", "."]
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TAGS = ['DT', 'VBZ', 'DT', 'NN', 'NN', '.']
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DEPS = ['nsubj', 'ROOT', 'det', 'compound', 'attr', 'punct']
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ENTS = [('hi', 'PERSON', 0, 1)]
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def test_serialize_empty_doc(en_vocab):
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doc = get_doc(en_vocab)
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data = doc.to_bytes()
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doc2 = Doc(en_vocab)
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doc2.from_bytes(data)
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assert len(doc) == len(doc2)
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for token1, token2 in zip(doc, doc2):
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assert token1.text == token2.text
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#
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#@pytest.mark.parametrize('text', [TEXT])
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#def test_serialize_tokens(en_vocab, text):
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# doc1 = get_doc(en_vocab, [t for t in text])
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# doc2 = get_doc(en_vocab).from_bytes(doc1.to_bytes())
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# assert_docs_equal(doc1, doc2)
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#
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#
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#@pytest.mark.models
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#@pytest.mark.parametrize('text', [TEXT])
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#@pytest.mark.parametrize('tags', [TAGS, []])
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#@pytest.mark.parametrize('deps', [DEPS, []])
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#@pytest.mark.parametrize('ents', [ENTS, []])
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#def test_serialize_tokens_ner(EN, text, tags, deps, ents):
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# doc1 = get_doc(EN.vocab, [t for t in text], tags=tags, deps=deps, ents=ents)
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# doc2 = get_doc(EN.vocab).from_bytes(doc1.to_bytes())
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# assert_docs_equal(doc1, doc2)
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