text: #
  # 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
  
  
  