{
  "context": "This evaluation assesses how well the engineer uses PyOpenCL's event synchronization and waiting capabilities to coordinate GPU operations. The focus is on proper usage of event-based dependencies, wait lists, user events, and profiling APIs.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Event Dependencies",
      "description": "Uses the wait_for parameter in kernel execution calls (e.g., kernel(..., wait_for=[event])) to establish dependencies between operations",
      "max_score": 25
    },
    {
      "name": "Event Profiling",
      "description": "Uses event.profile.start and event.profile.end (or equivalent profiling attributes) to extract timing information from events",
      "max_score": 20
    },
    {
      "name": "Wait List Management",
      "description": "Properly collects multiple events and uses cl.wait_for_events() or similar mechanisms to wait for multiple operations to complete",
      "max_score": 20
    },
    {
      "name": "User Event Creation",
      "description": "Creates user events using cl.UserEvent(context) for external synchronization control",
      "max_score": 15
    },
    {
      "name": "User Event Completion",
      "description": "Manually completes user events using user_event.set_status(cl.command_execution_status.COMPLETE) or equivalent method",
      "max_score": 15
    },
    {
      "name": "Queue Finish",
      "description": "Uses queue.finish() or context manager patterns to ensure queue synchronization when needed",
      "max_score": 5
    }
  ]
}