spaCy/spacy/tests/doc/test_token_api.py

168 lines
5.2 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
from ...attrs import IS_ALPHA, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_TITLE, IS_STOP
from ..util import get_doc
from ...vocab import Vocab
from ...tokens import Doc
import pytest
import numpy
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, [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):
text = ["Hi", ",", "my", "email", "is", "test@me.com"]
doc = get_doc(en_vocab, text)
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, [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, [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(u'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
# Backwards compatibility
assert doc[0].sent_start is False
doc.is_parsed = True
assert len(list(doc.sents)) == 2