spaCy/spacy/tests/doc/test_token_api.py
Ines Montani b6e991440c 💫 Tidy up and auto-format tests (#2967)
* Auto-format tests with black

* Add flake8 config

* Tidy up and remove unused imports

* Fix redefinitions of test functions

* Replace orths_and_spaces with words and spaces

* Fix compatibility with pytest 4.0

* xfail test for now

Test was previously overwritten by following test due to naming conflict, so failure wasn't reported

* Unfail passing test

* Only use fixture via arguments

Fixes pytest 4.0 compatibility
2018-11-27 01:09:36 +01:00

195 lines
6.1 KiB
Python

# 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):
# fmt: off
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"]
# fmt: on
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([0.0, 2.0], dtype="f"))
vocab.set_vector("oranges", vector=numpy.asarray([0.0, 1.0], 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"