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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.
#
import os
from typing import List
from integrations.utils import run_command, parse_score
class LuceneSearcherScoreChecker:
def __init__(self, index: str, topics: str, pyserini_topics: str, qrels: str, eval:str):
self.index_path = index
self.topics = topics
self.qrels = qrels
self.pyserini_topics = pyserini_topics
self.pyserini_base_cmd = 'python -m pyserini.search.lucene'
self.eval_base_cmd = eval
@staticmethod
def _cleanup(files: List[str]):
for file in files:
if os.path.exists(file):
os.remove(file)
def run(self, runtag: str, pyserini_extras: str, actualscore: float, tokenizer = None):
print('-------------------------')
print(f'Running {runtag}:')
print('-------------------------')
pyserini_output = f'verify.pyserini.{runtag}.txt'
pyserini_cmd = f'{self.pyserini_base_cmd} --index {self.index_path} \
--topics {self.pyserini_topics} --output {pyserini_output} {pyserini_extras}'
if tokenizer is not None:
pyserini_cmd = pyserini_cmd + f' --tokenizer {tokenizer}'
status = os.system(pyserini_cmd)
if not status == 0:
return False
eval_cmd = f'{self.eval_base_cmd} {self.qrels} {pyserini_output}'
status = os.system(eval_cmd)
if not status == 0:
return False
stdout, stderr = run_command(eval_cmd)
score = parse_score(stdout, 'map')
self._cleanup([pyserini_output])
if actualscore != score:
return False
return True
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