spaCy/spacy/tests/doc/test_span.py
2019-02-07 20:54:07 +01:00

214 lines
6.8 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
import pytest
from spacy.attrs import ORTH, LENGTH
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
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)
@pytest.fixture
def doc_not_parsed(en_tokenizer):
text = "This is a sentence. This is another sentence. And a third."
tokens = en_tokenizer(text)
doc = Doc(tokens.vocab, words=[t.text for t in tokens])
doc.is_parsed = False
return doc
def test_spans_sent_spans(doc):
sents = list(doc.sents)
assert sents[0].start == 0
assert sents[0].end == 5
assert len(sents) == 3
assert sum(len(sent) for sent in sents) == len(doc)
def test_spans_root(doc):
span = doc[2:4]
assert len(span) == 2
assert span.text == "a sentence"
assert span.root.text == "sentence"
assert span.root.head.text == "is"
def test_spans_string_fn(doc):
span = doc[0:4]
assert len(span) == 4
assert span.text == "This is a sentence"
assert span.upper_ == "THIS IS A SENTENCE"
assert span.lower_ == "this is a sentence"
def test_spans_root2(en_tokenizer):
text = "through North and South Carolina"
heads = [0, 3, -1, -2, -4]
tokens = en_tokenizer(text)
doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads)
assert doc[-2:].root.text == "Carolina"
def test_spans_span_sent(doc, doc_not_parsed):
"""Test span.sent property"""
assert len(list(doc.sents))
assert doc[:2].sent.root.text == "is"
assert doc[:2].sent.text == "This is a sentence ."
assert doc[6:7].sent.root.left_edge.text == "This"
# test on manual sbd
doc_not_parsed[0].is_sent_start = True
doc_not_parsed[5].is_sent_start = True
assert doc_not_parsed[1:3].sent == doc_not_parsed[0:5]
assert doc_not_parsed[10:14].sent == doc_not_parsed[5:]
def test_spans_lca_matrix(en_tokenizer):
"""Test span's lca matrix generation"""
tokens = en_tokenizer("the lazy dog slept")
doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=[2, 1, 1, 0])
lca = doc[:2].get_lca_matrix()
assert lca.shape == (2, 2)
assert lca[0, 0] == 0 # the & the -> the
assert lca[0, 1] == -1 # the & lazy -> dog (out of span)
assert lca[1, 0] == -1 # lazy & the -> dog (out of span)
assert lca[1, 1] == 1 # lazy & lazy -> lazy
lca = doc[1:].get_lca_matrix()
assert lca.shape == (3, 3)
assert lca[0, 0] == 0 # lazy & lazy -> lazy
assert lca[0, 1] == 1 # lazy & dog -> dog
assert lca[0, 2] == 2 # lazy & slept -> slept
lca = doc[2:].get_lca_matrix()
assert lca.shape == (2, 2)
assert lca[0, 0] == 0 # dog & dog -> dog
assert lca[0, 1] == 1 # dog & slept -> slept
assert lca[1, 0] == 1 # slept & dog -> slept
assert lca[1, 1] == 1 # slept & slept -> slept
def test_span_similarity_match():
doc = Doc(Vocab(), words=["a", "b", "a", "b"])
span1 = doc[:2]
span2 = doc[2:]
with pytest.warns(None):
assert span1.similarity(span2) == 1.0
assert span1.similarity(doc) == 0.0
assert span1[:1].similarity(doc.vocab["a"]) == 1.0
def test_spans_default_sentiment(en_tokenizer):
"""Test span.sentiment property's default averaging behaviour"""
text = "good stuff bad stuff"
tokens = en_tokenizer(text)
tokens.vocab[tokens[0].text].sentiment = 3.0
tokens.vocab[tokens[2].text].sentiment = -2.0
doc = Doc(tokens.vocab, words=[t.text for t in tokens])
assert doc[:2].sentiment == 3.0 / 2
assert doc[-2:].sentiment == -2.0 / 2
assert doc[:-1].sentiment == (3.0 + -2) / 3.0
def test_spans_override_sentiment(en_tokenizer):
"""Test span.sentiment property's default averaging behaviour"""
text = "good stuff bad stuff"
tokens = en_tokenizer(text)
tokens.vocab[tokens[0].text].sentiment = 3.0
tokens.vocab[tokens[2].text].sentiment = -2.0
doc = Doc(tokens.vocab, words=[t.text for t in tokens])
doc.user_span_hooks["sentiment"] = lambda span: 10.0
assert doc[:2].sentiment == 10.0
assert doc[-2:].sentiment == 10.0
assert doc[:-1].sentiment == 10.0
def test_spans_are_hashable(en_tokenizer):
"""Test spans can be hashed."""
text = "good stuff bad stuff"
tokens = en_tokenizer(text)
span1 = tokens[:2]
span2 = tokens[2:4]
assert hash(span1) != hash(span2)
span3 = tokens[0:2]
assert hash(span3) == hash(span1)
def test_spans_by_character(doc):
span1 = doc[1:-2]
span2 = doc.char_span(span1.start_char, span1.end_char, label="GPE")
assert span1.start_char == span2.start_char
assert span1.end_char == span2.end_char
assert span2.label_ == "GPE"
def test_span_to_array(doc):
span = doc[1:-2]
arr = span.to_array([ORTH, LENGTH])
assert arr.shape == (len(span), 2)
assert arr[0, 0] == span[0].orth
assert arr[0, 1] == len(span[0])
def test_span_as_doc(doc):
span = doc[4:10]
span_doc = span.as_doc()
assert span.text == span_doc.text.strip()
assert isinstance(span_doc, doc.__class__)
assert span_doc is not doc
assert span_doc[0].idx == 0
def test_span_string_label(doc):
span = Span(doc, 0, 1, label="hello")
assert span.label_ == "hello"
assert span.label == doc.vocab.strings["hello"]
def test_span_string_set_label(doc):
span = Span(doc, 0, 1)
span.label_ = "hello"
assert span.label_ == "hello"
assert span.label == doc.vocab.strings["hello"]
def test_span_ents_property(doc):
"""Test span.ents for the """
doc.ents = [
(doc.vocab.strings["PRODUCT"], 0, 1),
(doc.vocab.strings["PRODUCT"], 7, 8),
(doc.vocab.strings["PRODUCT"], 11, 14),
]
assert len(list(doc.ents)) == 3
sentences = list(doc.sents)
assert len(sentences) == 3
assert len(sentences[0].ents) == 1
# First sentence, also tests start of sentence
assert sentences[0].ents[0].text == "This"
assert sentences[0].ents[0].label_ == "PRODUCT"
assert sentences[0].ents[0].start == 0
assert sentences[0].ents[0].end == 1
# Second sentence
assert len(sentences[1].ents) == 1
assert sentences[1].ents[0].text == "another"
assert sentences[1].ents[0].label_ == "PRODUCT"
assert sentences[1].ents[0].start == 7
assert sentences[1].ents[0].end == 8
# Third sentence ents, Also tests end of sentence
assert sentences[2].ents[0].text == "a third ."
assert sentences[2].ents[0].label_ == "PRODUCT"
assert sentences[2].ents[0].start == 11
assert sentences[2].ents[0].end == 14