docs: def process_pool(self, limited_run=False):
          """Return a pool for multiprocess operations, sized either to the number of CPUS, or a configured value"""
  
          from multiprocessing import cpu_count
          from ambry.bundle.concurrent import Pool, init_library
  
          if self.processes:
              cpus = self.processes
          else:
              cpus = cpu_count()
  
          self.logger.info('Starting MP pool with {} processors'.format(cpus))
          return Pool(self, processes=cpus, initializer=init_library,
                      maxtasksperchild=1,
                      initargs=[self.database.dsn, self._account_password, limited_run])