class_docstr: This should be a pickable class.
class_docstr_tok: ["This","should","be","a","pickable","class","."]
code: def _prepare_env(self):
      modified_env = os.environ.copy()
      if self.python_loc == "python_env/bin/python":
          # In this case the executor is using the conda yarn archive under the current
          # working directory. Need to get the full path.
          executor_python_path = "{}/{}".format(
              os.getcwd(), "/".join(self.python_loc.split("/")[:-1])
          )
      else:
          executor_python_path = "/".join(
              self.python_loc.split("/")[:-1]
          )
      if "PATH" in os.environ:
          modified_env["PATH"] = "{}:{}".format(
              executor_python_path, os.environ["PATH"]
          )
      else:
          modified_env["PATH"] = executor_python_path
      modified_env.pop("MALLOC_ARENA_MAX", None)
      modified_env.pop("RAY_BACKEND_LOG_LEVEL", None)
      # Unset all MKL setting as Analytics Zoo would give default values when init env.
      # Running different programs may need different configurations.
      modified_env.pop("intra_op_parallelism_threads", None)
      modified_env.pop("inter_op_parallelism_threads", None)
      modified_env.pop("OMP_NUM_THREADS", None)
      modified_env.pop("KMP_BLOCKTIME", None)
      modified_env.pop("KMP_AFFINITY", None)
      modified_env.pop("KMP_SETTINGS", None)
      if self.env:  # Add in env argument if any MKL setting is needed.
          modified_env.update(self.env)
      if self.verbose:
          print("Executing with these environment settings:")
          for pair in modified_env.items():
              print(pair)
          print("The $PATH is: {}".format(modified_env["PATH"]))
      return modified_env
  
imports: import os
  import re
  import subprocess
  import time
  import uuid
  import random
  import warnings
  import tempfile
  import filelock
  import multiprocessing
  from packaging import version
  from zoo.ray.process import session_execute, ProcessMonitor
  from zoo.ray.utils import is_local
  from zoo.ray.utils import resource_to_bytes
  from zoo.ray.utils import get_parent_pid
label_desc: Use image node_id 1 for calling the RayServiceFuncGenerator obj's underlying member method code with example usage: obj._prepare_env() and returns: modified_env