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#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.
#
"""Integration tests for Robust04 using pre-built indexes."""
import unittest
from integrations.utils import run_retrieval_and_return_scores
class TestPrebuiltRobust04(unittest.TestCase):
def test_robust04(self):
"""Test case for Robust04."""
scores = run_retrieval_and_return_scores(
'runs/test_run.robust04.bm25.txt',
'python -m pyserini.search.lucene --topics robust04 --index robust04 --bm25',
'robust04',
'trec_eval',
[['map', 'map'], ['P.30', 'P_30']])
self.assertTrue('map' in scores)
self.assertTrue('P.30' in scores)
self.assertAlmostEqual(scores['map'], 0.2531, delta=0.0001)
self.assertAlmostEqual(scores['P.30'], 0.3102, delta=0.0001)
if __name__ == '__main__':
unittest.main()
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