code: def __init__(
      self,
      run_type_params: List[RunTypeParameters],
      kubeconfig: str = None,
      namespace: str = None,
      nfs_server: str = None,
      nfs_path: str = None,
      checkpoint_dir: str = "/checkpoint",
      memory_backend_parameters: MemoryBackendParameters = None,
      data_store_params: DataStoreParameters = None,
  ):
      self.run_type_params = {}
      for run_type_param in run_type_params:
          self.run_type_params[run_type_param.run_type] = run_type_param
      self.kubeconfig = kubeconfig
      self.namespace = namespace
      self.nfs_server = nfs_server
      self.nfs_path = nfs_path
      self.checkpoint_dir = checkpoint_dir
      self.memory_backend_parameters = memory_backend_parameters
      self.data_store_params = data_store_params
  
imports: import os
  import uuid
  import json
  import time
  import sys
  from enum import Enum
  from typing import List
  from configparser import ConfigParser, Error
  from multiprocessing import Process
  from rl_coach.base_parameters import RunType
  from rl_coach.orchestrators.deploy import Deploy, DeployParameters
  from kubernetes import client, config
  from rl_coach.memories.backend.memory import MemoryBackendParameters
  from rl_coach.memories.backend.memory_impl import get_memory_backend
  from rl_coach.data_stores.data_store import DataStoreParameters
  from rl_coach.data_stores.data_store_impl import get_data_store
  from rl_coach.logger import screen
label_desc: Use image node_id 1 to create a new KubernetesParameters object from inherited base classes: DeployParameters with example: obj = KubernetesParameters(run_type_params, kubeconfig, namespace, nfs_server, nfs_path, checkpoint_dir, memory_backend_parameters, data_store_params)