forked from mjpost/sacrebleu
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Matt Post
committed
Nov 10, 2017
1 parent
6799d02
commit db803f1
Showing
4 changed files
with
99 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1 +1,5 @@ | ||
data/ | ||
.coverage | ||
build | ||
dist | ||
__pycache__ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,2 @@ | ||
[pytest] | ||
addopts = --cov test -v |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,91 @@ | ||
# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"). You may not | ||
# use this file except in compliance with the License. A copy of the License | ||
# is located at | ||
# | ||
# http://aws.amazon.com/apache2.0/ | ||
# | ||
# or in the "license" file accompanying this file. This file is distributed on | ||
# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either | ||
# express or implied. See the License for the specific language governing | ||
# permissions and limitations under the License. | ||
|
||
import pytest | ||
import sacrebleu | ||
from collections import namedtuple | ||
|
||
EPSILON = 1e-8 | ||
|
||
Statistics = namedtuple('Statistics', ['common', 'total']) | ||
|
||
test_cases = [(["this is a test", "another test"], ["ref1", "ref2"], 0.003799178428257963), | ||
(["this is a test"], ["this is a test"], 1.0), | ||
(["this is a fest"], ["this is a test"], 0.223606797749979)] | ||
|
||
test_case_offset = [("am I am a character sequence", "I am a symbol string sequence a a", 0.1555722182, 0)] | ||
|
||
# statistic structure: | ||
# - common counts | ||
# - total counts | ||
# - hyp_count | ||
# - ref_count | ||
|
||
test_case_statistics = [("am I am a character sequence", "I am a symbol string sequence a a", | ||
Statistics([4, 2, 1, 0], [6, 5, 4, 3]))] | ||
|
||
test_case_scoring = [((Statistics([9, 7, 5, 3], [10, 8, 6, 4]), 11, 11), 0.8375922397)] | ||
|
||
test_effective_order = [(["test"], ["a test"], 0.3678794411714425), | ||
(["a test"], ["a test"], 1.0), | ||
(["a little test"], ["a test"], 0.03218297948685433)] | ||
|
||
|
||
# testing that right score is returned for null statistics and different offsets | ||
# format: stat, offset, expected score | ||
test_case_degenerate_stats = [((Statistics([0, 0, 0, 0], [4, 4, 2, 1]), 0, 1), 0.0, 0.0), | ||
((Statistics([0, 0, 0, 0], [10, 11, 12, 0]), 14, 10), 0.0, 0.0), | ||
((Statistics([0, 0, 0, 0], [0, 0, 0, 0]), 0, 0), 0.0, 0.0), | ||
((Statistics([6, 5, 4, 0], [6, 5, 4, 3]), 6, 6), 0.0, 0.0), | ||
((Statistics([0, 0, 0, 0], [0, 0, 0, 0]), 0, 0), 0.1, 0.0), | ||
((Statistics([0, 0, 0, 0], [0, 0, 0, 0]), 1, 5), 0.01, 0.0)] | ||
|
||
|
||
@pytest.mark.parametrize("hypotheses, references, expected_bleu", test_cases) | ||
def test_bleu(hypotheses, references, expected_bleu): | ||
bleu = sacrebleu.raw_corpus_bleu(hypotheses, [references], .01).score / 100 | ||
assert abs(bleu - expected_bleu) < EPSILON | ||
|
||
|
||
@pytest.mark.parametrize("hypotheses, references, expected_bleu", test_effective_order) | ||
def test_effective_order(hypotheses, references, expected_bleu): | ||
bleu = sacrebleu.raw_corpus_bleu(hypotheses, [references], .01).score / 100 | ||
assert abs(bleu - expected_bleu) < EPSILON | ||
|
||
|
||
@pytest.mark.parametrize("hypothesis, reference, expected_stat", test_case_statistics) | ||
def test_statistics(hypothesis, reference, expected_stat): | ||
result = sacrebleu.raw_corpus_bleu(hypothesis, reference, .01) | ||
stat = Statistics(result.counts, result.totals) | ||
assert stat == expected_stat | ||
|
||
|
||
@pytest.mark.parametrize("statistics, expected_score", test_case_scoring) | ||
def test_scoring(statistics, expected_score): | ||
score = sacrebleu.compute_bleu(statistics[0].common, statistics[0].total, statistics[1], statistics[2]).score / 100 | ||
assert abs(score - expected_score) < EPSILON | ||
|
||
|
||
@pytest.mark.parametrize("hypothesis, reference, expected_with_offset, expected_without_offset", | ||
test_case_offset) | ||
def test_offset(hypothesis, reference, expected_with_offset, expected_without_offset): | ||
score_without_offset = sacrebleu.raw_corpus_bleu(hypothesis, reference, 0.0).score / 100 | ||
assert abs(expected_without_offset - score_without_offset) < EPSILON | ||
|
||
score_with_offset = sacrebleu.raw_corpus_bleu(hypothesis, reference, 0.1).score / 100 | ||
assert abs(expected_with_offset - score_with_offset) < EPSILON | ||
|
||
@pytest.mark.parametrize("statistics, offset, expected_score", test_case_degenerate_stats) | ||
def test_degenerate_statistics(statistics, offset, expected_score): | ||
score = sacrebleu.compute_bleu(statistics[0].common, statistics[0].total, statistics[1], statistics[2], smooth='floor', smooth_floor=offset).score / 100 | ||
assert score == expected_score |