code: def _solve_ilp(self, prob):
      import pulp
  
      old_path = os.environ["PATH"]
      if self.workflow.scheduling_settings.solver_path is None:
          # Temporarily prepend the given snakemake env to the path, such that the solver can be found in any case.
          # This is needed for cluster envs, where the cluster job might have a different environment but
          # still needs access to the solver binary.
          os.environ["PATH"] = "{}:{}".format(
              self.workflow.scheduling_settings.solver_path,
              os.environ["PATH"],
          )
      try:
          solver = (
              pulp.getSolver(
                  self.workflow.scheduling_settings.ilp_solver
              )
              if self.workflow.scheduling_settings.ilp_solver
              else pulp.apis.LpSolverDefault
          )
      finally:
          os.environ["PATH"] = old_path
      solver.msg = self.workflow.output_settings.verbose
      prob.solve(solver)
  
imports: import asyncio
  from collections import defaultdict
  import math
  import os, signal, sys
  import threading
  from functools import partial
  from itertools import chain, accumulate
  from contextlib import ContextDecorator
  from snakemake_interface_executor_plugins.scheduler import JobSchedulerExecutorInterface
  from snakemake_interface_executor_plugins.registry import ExecutorPluginRegistry
  from snakemake_interface_executor_plugins.registry import Plugin
  from snakemake_interface_executor_plugins.settings import ExecMode
  from snakemake.common import async_run
  from snakemake.exceptions import RuleException, WorkflowError, print_exception
  from snakemake.logging import logger
  from fractions import Fraction
label_desc: Use image node_id 18 for calling the JobScheduler obj's underlying member method code with example usage: obj._solve_ilp(prob) without return types