code: def init(self, driver_cores: int = 0):
      if self.runtime == "ray":
          import ray
          import ray.ray_constants as ray_constants
  
          address_env_var = os.environ.get(
              ray_constants.RAY_ADDRESS_ENVIRONMENT_VARIABLE
          )
          if "address" not in self.ray_args and address_env_var is None:
              print("Creating a local Ray instance.")
              results = ray.init(
                  num_cpus=self.ray_node_cpu_cores, **self.ray_args
              )
          else:
              print(
                  "Connecting to an existing ray cluster, num_cpus "
                  "must not be provided."
              )
              results = ray.init(**self.ray_args)
      else:
          results = self._ray_on_spark_context.init(
              driver_cores=driver_cores
          )
          self.num_ray_nodes = self._ray_on_spark_context.num_ray_nodes  # type: ignore
          self.ray_node_cpu_cores = self._ray_on_spark_context.ray_node_cpu_cores  # type: ignore
          self.address_info = self._ray_on_spark_context.address_info
          self.redis_address = self._ray_on_spark_context.redis_address
          self.redis_password = (
              self._ray_on_spark_context.redis_password
          )
          self.sc = self._ray_on_spark_context.sc
  
      self.initialized = True
      return results
  
file_path: BigDL/python/orca/src/bigdl/orca/ray/raycontext.py
imports: import os
  from threading import Lock
  from bigdl.dllib.utils.log4Error import invalidInputError
  from typing import Optional
label_desc: Use image node_id 2 for calling the OrcaRayContext obj's underlying member method code with example usage: obj.init(driver_cores) and returns: results