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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 uniCOIL models using on-the-fly query encoding.""" | |
| import os | |
| import unittest | |
| from integrations.utils import clean_files, run_command, parse_score | |
| class TestSearchIntegration(unittest.TestCase): | |
| def setUp(self): | |
| self.temp_files = [] | |
| self.threads = 16 | |
| self.batch_size = 128 | |
| def test_msmarco_passage_tilde_otf(self): | |
| output_file = 'test_run.msmarco-passage.tilde.otf.tsv' | |
| self.temp_files.append(output_file) | |
| cmd = f'python -m pyserini.search.lucene \ | |
| --threads {self.threads} --batch-size {self.batch_size} \ | |
| --index msmarco-v1-passage-unicoil-tilde \ | |
| --topics msmarco-passage-dev-subset \ | |
| --encoder ielab/unicoil-tilde200-msmarco-passage \ | |
| --output {output_file} \ | |
| --output-format msmarco \ | |
| --impact --hits 1000' | |
| status = os.system(cmd) | |
| self.assertEqual(status, 0) | |
| # Match score in https://github.com/castorini/pyserini/blob/master/docs/experiments-unicoil-tilde-expansion.md | |
| stdout, stderr = run_command(f'python -m pyserini.eval.msmarco_passage_eval \ | |
| msmarco-passage-dev-subset {output_file}') | |
| self.assertAlmostEqual(0.3495, parse_score(stdout, "MRR @10"), delta=0.0001) | |
| def tearDown(self): | |
| clean_files(self.temp_files) | |
| if __name__ == '__main__': | |
| unittest.main() | |