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