MCPcopy Create free account
hub / github.com/SkyworkAI/DeepResearchAgent / process_with_semaphore

Function process_with_semaphore

examples/analysis.py:421–433  ·  view source on GitHub ↗

Process a task with semaphore control.

(task_data: Dict, task_index: int)

Source from the content-addressed store, hash-verified

419 completed_count = 0
420
421 async def process_with_semaphore(task_data: Dict, task_index: int):
422 """Process a task with semaphore control."""
423 nonlocal completed_count
424 async with semaphore:
425 try:
426 await process_single_task(optimizer_type, benchmark_name, task_data, task_index, total_tasks, result_saver)
427 finally:
428 completed_count += 1
429 # Progress reporting
430 if completed_count % concurrency == 0 or completed_count == total_tasks:
431 progress_msg = f"| 📊 Progress: {completed_count}/{total_tasks} tasks completed"
432 logger.info(progress_msg)
433 print(progress_msg)
434
435 # Create all tasks and run them with semaphore-controlled concurrency
436 tasks = [process_with_semaphore(task_data, i) for i, task_data in enumerate(all_tasks)]

Callers 1

Calls 3

printFunction · 0.85
process_single_taskFunction · 0.70
infoMethod · 0.45

Tested by

no test coverage detected