benchmark/debugging.txt

Prompt: This async Python server has a memory leak that only manifests under high concurrency. The leak grows at ~50MB/hour. Identify likely causes and write diagnostic code to find the exact source.

Generated:
This async Python server has a memory leak that only manifests under high concurrency. The leak grows at ~50MB/hour. Identify likely causes and write diagnostic code to find the exact source.

Rewritten Test:
The following async Python server has a memory leak that only manifests under high concurrency. The leak grows at approximately 50MB per hour. Your task is to identify the likely cause(s) of this memory leak and provide diagnostic code to pinpoint the exact source.

Please note that you should not use any external libraries or frameworks for debugging, and you must implement your own solution using standard Python techniques. Additionally, please ensure that your code is optimized for performance and can handle high concurrency efficiently.
One possible cause of the memory leak could be improper handling of resources, such as unclosed file handles or sockets. Another potential cause could be excessive memory allocation without proper deallocation. 

To diagnose the issue, we can start by monitoring the memory usage of the server over time. We can use tools like `tracemalloc` in Python to track memory allocations and identify where memory is being leaked. Here's an example code snippet to get started:

```python