hunk.code_window:     # Number of env steps to optimize for before returning
       "timesteps_per_iteration": 100,
       # === Replay buffer ===
       # Size of the replay buffer. Note that if async_updates is set, then
       # each worker will have a replay buffer of this size.
  
hunk.labels: keep replace keep keep keep keep keep
hunk.after_edit:     # Number of env steps to optimize for before returning.
  
hunk.file_path: rllib/agents/sac/sac.py
hunk.type: replace
file: package org.ray.runtime.config;
  
  public enum RunMode {
  
    /**
     * Ray is running in one single Java process, without Raylet backend, object store, and GCS.
     * It's useful for debug.
     */
    SINGLE_PROCESS,
  
    /**
     * Ray is running on one or more nodes, with multiple processes.
     */
    CLUSTER,
  }
  