mirror of
https://github.com/explosion/spaCy.git
synced 2025-10-31 07:57:35 +03:00
158 lines
5.0 KiB
Python
158 lines
5.0 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
|
|
|
|
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
|
|
|
|
|
|
@pytest.mark.parametrize('text,vectors', [
|
|
("apples oranges ldskbjls", ["apples -1 -1 -1", "oranges -1 -1 0"])
|
|
])
|
|
def test_doc_token_api_vectors(en_tokenizer, text_file, text, vectors):
|
|
text_file.write('\n'.join(vectors))
|
|
text_file.seek(0)
|
|
vector_length = en_tokenizer.vocab.load_vectors(text_file)
|
|
assert vector_length == 3
|
|
|
|
tokens = en_tokenizer(text)
|
|
assert tokens[0].has_vector
|
|
assert tokens[1].has_vector
|
|
assert not tokens[2].has_vector
|
|
assert tokens[0].similarity(tokens[1]) > tokens[0].similarity(tokens[2])
|
|
assert tokens[0].similarity(tokens[1]) == tokens[1].similarity(tokens[0])
|
|
assert sum(tokens[0].vector) != sum(tokens[1].vector)
|
|
assert numpy.isclose(
|
|
tokens[0].vector_norm,
|
|
numpy.sqrt(numpy.dot(tokens[0].vector, tokens[0].vector)))
|
|
|
|
|
|
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_of(doc[7])
|
|
assert not doc[6].is_ancestor_of(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
|