mirror of
https://github.com/explosion/spaCy.git
synced 2025-10-31 16:07:41 +03:00
35 lines
1017 B
Python
35 lines
1017 B
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
from spacy.gold import GoldParse
|
|
from spacy.scorer import Scorer
|
|
from ..util import get_doc
|
|
|
|
test_samples = [
|
|
[
|
|
"100 - 200",
|
|
{
|
|
"entities": [
|
|
[0, 3, "CARDINAL"],
|
|
[6, 9, "CARDINAL"]
|
|
]
|
|
}
|
|
]
|
|
]
|
|
|
|
def test_issue3625(en_vocab):
|
|
scorer = Scorer()
|
|
for input_, annot in test_samples:
|
|
doc = get_doc(en_vocab, words = input_.split(' '), ents = [[0,1,'CARDINAL'], [2,3,'CARDINAL']]);
|
|
gold = GoldParse(doc, entities = annot['entities'])
|
|
scorer.score(doc, gold)
|
|
results = scorer.scores
|
|
|
|
# Expects total accuracy and accuracy for each each entity to be 100%
|
|
assert results['ents_p'] == 100
|
|
assert results['ents_f'] == 100
|
|
assert results['ents_r'] == 100
|
|
assert results['ents_per_type']['CARDINAL']['p'] == 100
|
|
assert results['ents_per_type']['CARDINAL']['f'] == 100
|
|
assert results['ents_per_type']['CARDINAL']['r'] == 100
|