Files
modelscope/tests/test_metrics/test_translation_evaluation_metrics.py
heyyxd 158d72bfd2 add self supervised depth completion. (#711)
* add self supervised depth completion.

* update.

* fix the problem of key inconsistency.

* delete args parser.

* rename metrics to test_metrics.
2024-02-22 22:30:48 +08:00

31 lines
978 B
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import unittest
from modelscope.metrics.translation_evaluation_metric import \
TranslationEvaluationMetric
from modelscope.models.nlp.unite.configuration import InputFormat
from modelscope.utils.test_utils import test_level
class TestTranslationEvaluationMetrics(unittest.TestCase):
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_value(self):
metric = TranslationEvaluationMetric(gap_threshold=25.0)
outputs = {'score': [0.25, 0.22, 0.30, 0.78, 1.11, 0.95, 1.00, 0.86]}
inputs = {
'lp': ['zh-en'] * 8,
'segment_id': [0, 0, 0, 1, 1, 2, 2, 2],
'raw_score': [94.0, 60.0, 25.0, 59.5, 90.0, 100.0, 80.0, 60.0],
'input_format': [InputFormat.SRC_REF] * 8,
}
metric.add(outputs, inputs)
result = metric.evaluate()
print(result)
if __name__ == '__main__':
unittest.main()