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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 KILT integration.""" | |
import os | |
import re | |
import socket | |
import unittest | |
from integrations.utils import clean_files, run_command | |
def parse_kilt_score(output, metric, digits=4): | |
pattern = re.compile(r"[0-1]\.[0-9]*") | |
for line in output.split('\n')[::-1]: | |
if metric in line: | |
score = float(pattern.search(line).group(0)) | |
return round(score, digits) | |
return None | |
class TestSearchIntegration(unittest.TestCase): | |
def setUp(self): | |
self.temp_files = [] | |
self.threads = 16 | |
self.batch_size = 256 | |
# Hard-code larger values for internal servers | |
if socket.gethostname().startswith('damiano') or socket.gethostname().startswith('orca'): | |
self.threads = 36 | |
self.batch_size = 144 | |
def test_kilt_search(self): | |
run_file = 'test_run.fever-dev-kilt.jsonl' | |
self.temp_files.append(run_file) | |
cmd1 = f'python -m pyserini.search --topics fever-dev-kilt \ | |
--topics-format kilt \ | |
--index wikipedia-kilt-doc \ | |
--output {run_file} \ | |
--output-format kilt \ | |
--threads {self.threads} \ | |
--batch-size {self.batch_size}' | |
status = os.system(cmd1) | |
self.assertEqual(status, 0) | |
cmd2 = f'python -m pyserini.eval.evaluate_kilt_retrieval {run_file} fever-dev-kilt --ks 1,100' | |
stdout, stderr = run_command(cmd2) | |
score = parse_kilt_score(stdout, "Rprec") | |
self.assertAlmostEqual(score, 0.3821, delta=0.0001) | |
def tearDown(self): | |
clean_files(self.temp_files) | |
if __name__ == '__main__': | |
unittest.main() | |