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63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from ...attrs import ORTH, SHAPE, POS, DEP
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from ..util import get_doc
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import pytest
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def test_doc_array_attr_of_token(en_tokenizer, en_vocab):
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text = "An example sentence"
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tokens = en_tokenizer(text)
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example = tokens.vocab["example"]
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assert example.orth != example.shape
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feats_array = tokens.to_array((ORTH, SHAPE))
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assert feats_array[0][0] != feats_array[0][1]
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assert feats_array[0][0] != feats_array[0][1]
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def test_doc_stringy_array_attr_of_token(en_tokenizer, en_vocab):
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text = "An example sentence"
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tokens = en_tokenizer(text)
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example = tokens.vocab["example"]
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assert example.orth != example.shape
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feats_array = tokens.to_array((ORTH, SHAPE))
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feats_array_stringy = tokens.to_array(("ORTH", "SHAPE"))
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assert feats_array_stringy[0][0] == feats_array[0][0]
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assert feats_array_stringy[0][1] == feats_array[0][1]
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def test_doc_scalar_attr_of_token(en_tokenizer, en_vocab):
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text = "An example sentence"
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tokens = en_tokenizer(text)
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example = tokens.vocab["example"]
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assert example.orth != example.shape
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feats_array = tokens.to_array(ORTH)
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assert feats_array.shape == (3,)
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def test_doc_array_tag(en_tokenizer):
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text = "A nice sentence."
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pos = ['DET', 'ADJ', 'NOUN', 'PUNCT']
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens], pos=pos)
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assert doc[0].pos != doc[1].pos != doc[2].pos != doc[3].pos
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feats_array = doc.to_array((ORTH, POS))
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assert feats_array[0][1] == doc[0].pos
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assert feats_array[1][1] == doc[1].pos
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assert feats_array[2][1] == doc[2].pos
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assert feats_array[3][1] == doc[3].pos
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def test_doc_array_dep(en_tokenizer):
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text = "A nice sentence."
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deps = ['det', 'amod', 'ROOT', 'punct']
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens], deps=deps)
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feats_array = doc.to_array((ORTH, DEP))
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assert feats_array[0][1] == doc[0].dep
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assert feats_array[1][1] == doc[1].dep
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assert feats_array[2][1] == doc[2].dep
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assert feats_array[3][1] == doc[3].dep
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