code: def enrich_conf_for_spark(
      conf,
      driver_cores,
      driver_memory,
      num_executors,
      executor_cores,
      executor_memory,
      extra_executor_memory_for_ray=None,
  ):
      if not conf:
          conf = {}
      conf.update(
          {
              "spark.driver.cores": driver_cores,
              "spark.driver.memory": driver_memory,
              "spark.executor.instances": num_executors,
              "spark.executor.cores": executor_cores,
              "spark.executor.memory": executor_memory,
          }
      )
      if extra_executor_memory_for_ray:
          conf[
              "spark.executor.memoryOverhead"
          ] = extra_executor_memory_for_ray
      return conf
  
imports: import os
  import sys
  import random
  import platform
  from pyspark import SparkContext
  from bigdl.dllib.nncontext import init_internal_nncontext, init_spark_conf
  from bigdl.dllib.utils.utils import detect_python_location, pack_penv, get_node_ip
  from bigdl.dllib.utils.utils import get_executor_conda_zoo_classpath
  from bigdl.dllib.utils.utils import get_zoo_bigdl_classpath_on_driver
  from bigdl.dllib.utils.utils import get_bigdl_class_version
  from bigdl.dllib.utils.utils import get_bigdl_image_workdir
  from bigdl.dllib.utils.utils import is_valid_ip_address
  from bigdl.dllib.utils.engine import get_bigdl_jars
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 2 for calling a global function with example usage: enrich_conf_for_spark(conf, driver_cores, driver_memory, num_executors, executor_cores, executor_memory, extra_executor_memory_for_ray) and returns: conf