spaCy/spacy/tests/test_gold.py

# coding: utf-8
from __future__ import unicode_literals

from spacy.gold import biluo_tags_from_offsets, offsets_from_biluo_tags
from spacy.gold import spans_from_biluo_tags, GoldParse
from spacy.tokens import Doc
import pytest


def test_gold_biluo_U(en_vocab):
    words = ["I", "flew", "to", "London", "."]
    spaces = [True, True, True, False, True]
    doc = Doc(en_vocab, words=words, spaces=spaces)
    entities = [(len("I flew to "), len("I flew to London"), "LOC")]
    tags = biluo_tags_from_offsets(doc, entities)
    assert tags == ["O", "O", "O", "U-LOC", "O"]


def test_gold_biluo_BL(en_vocab):
    words = ["I", "flew", "to", "San", "Francisco", "."]
    spaces = [True, True, True, True, False, True]
    doc = Doc(en_vocab, words=words, spaces=spaces)
    entities = [(len("I flew to "), len("I flew to San Francisco"), "LOC")]
    tags = biluo_tags_from_offsets(doc, entities)
    assert tags == ["O", "O", "O", "B-LOC", "L-LOC", "O"]


def test_gold_biluo_BIL(en_vocab):
    words = ["I", "flew", "to", "San", "Francisco", "Valley", "."]
    spaces = [True, True, True, True, True, False, True]
    doc = Doc(en_vocab, words=words, spaces=spaces)
    entities = [(len("I flew to "), len("I flew to San Francisco Valley"), "LOC")]
    tags = biluo_tags_from_offsets(doc, entities)
    assert tags == ["O", "O", "O", "B-LOC", "I-LOC", "L-LOC", "O"]


def test_gold_biluo_overlap(en_vocab):
    words = ["I", "flew", "to", "San", "Francisco", "Valley", "."]
    spaces = [True, True, True, True, True, False, True]
    doc = Doc(en_vocab, words=words, spaces=spaces)
    entities = [
        (len("I flew to "), len("I flew to San Francisco Valley"), "LOC"),
        (len("I flew to "), len("I flew to San Francisco"), "LOC"),
    ]
    with pytest.raises(ValueError):
        biluo_tags_from_offsets(doc, entities)


def test_gold_biluo_misalign(en_vocab):
    words = ["I", "flew", "to", "San", "Francisco", "Valley."]
    spaces = [True, True, True, True, True, False]
    doc = Doc(en_vocab, words=words, spaces=spaces)
    entities = [(len("I flew to "), len("I flew to San Francisco Valley"), "LOC")]
    tags = biluo_tags_from_offsets(doc, entities)
    assert tags == ["O", "O", "O", "-", "-", "-"]


def test_roundtrip_offsets_biluo_conversion(en_tokenizer):
    text = "I flew to Silicon Valley via London."
    biluo_tags = ["O", "O", "O", "B-LOC", "L-LOC", "O", "U-GPE", "O"]
    offsets = [(10, 24, "LOC"), (29, 35, "GPE")]
    doc = en_tokenizer(text)
    biluo_tags_converted = biluo_tags_from_offsets(doc, offsets)
    assert biluo_tags_converted == biluo_tags
    offsets_converted = offsets_from_biluo_tags(doc, biluo_tags)
    assert offsets_converted == offsets


def test_biluo_spans(en_tokenizer):
    doc = en_tokenizer("I flew to Silicon Valley via London.")
    biluo_tags = ["O", "O", "O", "B-LOC", "L-LOC", "O", "U-GPE", "O"]
    spans = spans_from_biluo_tags(doc, biluo_tags)
    assert len(spans) == 2
    assert spans[0].text == "Silicon Valley"
    assert spans[0].label_ == "LOC"
    assert spans[1].text == "London"
    assert spans[1].label_ == "GPE"


def test_gold_ner_missing_tags(en_tokenizer):
    doc = en_tokenizer("I flew to Silicon Valley via London.")
    biluo_tags = [None, "O", "O", "B-LOC", "L-LOC", "O", "U-GPE", "O"]
    gold = GoldParse(doc, entities=biluo_tags)  # noqa: F841