# coding: utf-8 from __future__ import unicode_literals import pytest import numpy from spacy.attrs import IS_ALPHA, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_TITLE, IS_STOP from spacy.symbols import VERB from spacy.vocab import Vocab from spacy.tokens import Doc from ..util import get_doc @pytest.fixture def doc(en_tokenizer): text = "This is a sentence. This is another sentence. And a third." heads = [1, 0, 1, -2, -3, 1, 0, 1, -2, -3, 0, 1, -2, -1] deps = ['nsubj', 'ROOT', 'det', 'attr', 'punct', 'nsubj', 'ROOT', 'det', 'attr', 'punct', 'ROOT', 'det', 'npadvmod', 'punct'] tokens = en_tokenizer(text) return get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps) def test_doc_token_api_strings(en_tokenizer): text = "Give it back! He pleaded." pos = ['VERB', 'PRON', 'PART', 'PUNCT', 'PRON', 'VERB', 'PUNCT'] heads = [0, -1, -2, -3, 1, 0, -1] deps = ['ROOT', 'dobj', 'prt', 'punct', 'nsubj', 'ROOT', 'punct'] tokens = en_tokenizer(text) doc = get_doc(tokens.vocab, words=[t.text for t in tokens], pos=pos, heads=heads, deps=deps) assert doc[0].orth_ == 'Give' assert doc[0].text == 'Give' assert doc[0].text_with_ws == 'Give ' assert doc[0].lower_ == 'give' assert doc[0].shape_ == 'Xxxx' assert doc[0].prefix_ == 'G' assert doc[0].suffix_ == 'ive' assert doc[0].pos_ == 'VERB' assert doc[0].dep_ == 'ROOT' def test_doc_token_api_flags(en_tokenizer): text = "Give it back! He pleaded." tokens = en_tokenizer(text) assert tokens[0].check_flag(IS_ALPHA) assert not tokens[0].check_flag(IS_DIGIT) assert tokens[0].check_flag(IS_TITLE) assert tokens[1].check_flag(IS_LOWER) assert tokens[3].check_flag(IS_PUNCT) assert tokens[2].check_flag(IS_STOP) assert not tokens[5].check_flag(IS_STOP) # TODO: Test more of these, esp. if a bug is found @pytest.mark.parametrize('text', ["Give it back! He pleaded."]) def test_doc_token_api_prob_inherited_from_vocab(en_tokenizer, text): word = text.split()[0] en_tokenizer.vocab[word].prob = -1 tokens = en_tokenizer(text) assert tokens[0].prob != 0 @pytest.mark.parametrize('text', ["one two"]) def test_doc_token_api_str_builtin(en_tokenizer, text): tokens = en_tokenizer(text) assert str(tokens[0]) == text.split(' ')[0] assert str(tokens[1]) == text.split(' ')[1] def test_doc_token_api_is_properties(en_vocab): doc = Doc(en_vocab, words=["Hi", ",", "my", "email", "is", "test@me.com"]) assert doc[0].is_title assert doc[0].is_alpha assert not doc[0].is_digit assert doc[1].is_punct assert doc[3].is_ascii assert not doc[3].like_url assert doc[4].is_lower assert doc[5].like_email def test_doc_token_api_vectors(): vocab = Vocab() vocab.reset_vectors(width=2) vocab.set_vector('apples', vector=numpy.asarray([0., 2.], dtype='f')) vocab.set_vector('oranges', vector=numpy.asarray([0., 1.], dtype='f')) doc = Doc(vocab, words=['apples', 'oranges', 'oov']) assert doc.has_vector assert doc[0].has_vector assert doc[1].has_vector assert not doc[2].has_vector apples_norm = (0*0 + 2*2) ** 0.5 oranges_norm = (0*0 + 1*1) ** 0.5 cosine = ((0*0) + (2*1)) / (apples_norm * oranges_norm) assert doc[0].similarity(doc[1]) == cosine def test_doc_token_api_ancestors(en_tokenizer): # the structure of this sentence depends on the English annotation scheme text = "Yesterday I saw a dog that barked loudly." heads = [2, 1, 0, 1, -2, 1, -2, -1, -6] tokens = en_tokenizer(text) doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads) assert [t.text for t in doc[6].ancestors] == ["dog", "saw"] assert [t.text for t in doc[1].ancestors] == ["saw"] assert [t.text for t in doc[2].ancestors] == [] assert doc[2].is_ancestor(doc[7]) assert not doc[6].is_ancestor(doc[2]) def test_doc_token_api_head_setter(en_tokenizer): # the structure of this sentence depends on the English annotation scheme text = "Yesterday I saw a dog that barked loudly." heads = [2, 1, 0, 1, -2, 1, -2, -1, -6] tokens = en_tokenizer(text) doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads) assert doc[6].n_lefts == 1 assert doc[6].n_rights == 1 assert doc[6].left_edge.i == 5 assert doc[6].right_edge.i == 7 assert doc[4].n_lefts == 1 assert doc[4].n_rights == 1 assert doc[4].left_edge.i == 3 assert doc[4].right_edge.i == 7 assert doc[3].n_lefts == 0 assert doc[3].n_rights == 0 assert doc[3].left_edge.i == 3 assert doc[3].right_edge.i == 3 assert doc[2].left_edge.i == 0 assert doc[2].right_edge.i == 8 doc[6].head = doc[3] assert doc[6].n_lefts == 1 assert doc[6].n_rights == 1 assert doc[6].left_edge.i == 5 assert doc[6].right_edge.i == 7 assert doc[3].n_lefts == 0 assert doc[3].n_rights == 1 assert doc[3].left_edge.i == 3 assert doc[3].right_edge.i == 7 assert doc[4].n_lefts == 1 assert doc[4].n_rights == 0 assert doc[4].left_edge.i == 3 assert doc[4].right_edge.i == 7 assert doc[2].left_edge.i == 0 assert doc[2].right_edge.i == 8 doc[0].head = doc[5] assert doc[5].left_edge.i == 0 assert doc[6].left_edge.i == 0 assert doc[3].left_edge.i == 0 assert doc[4].left_edge.i == 0 assert doc[2].left_edge.i == 0 def test_is_sent_start(en_tokenizer): doc = en_tokenizer('This is a sentence. This is another.') assert doc[5].is_sent_start is None doc[5].is_sent_start = True assert doc[5].is_sent_start is True doc.is_parsed = True assert len(list(doc.sents)) == 2 def test_set_pos(): doc = Doc(Vocab(), words=['hello', 'world']) doc[0].pos_ = 'NOUN' assert doc[0].pos_ == 'NOUN' doc[1].pos = VERB assert doc[1].pos_ == 'VERB' def test_tokens_sent(doc): """Test token.sent property""" assert len(list(doc.sents)) == 3 assert doc[1].sent.text == 'This is a sentence .' assert doc[7].sent.text == 'This is another sentence .' assert doc[1].sent.root.left_edge.text == 'This' assert doc[7].sent.root.left_edge.text == 'This'