Sophia Wisdom <sophia@reduct.video> added the comment:
It looks like it's not specific to the ThreadPoolExecutor.
```
import asyncio
import concurrent
def leaker_func():
list(range(int(1000)))
# removed 1/0 because this causes issues with the ProcessPoolExecutor
async def function():
loop = asyncio.get_running_loop()
for i in range(10000):
loop.run_in_executor(concurrent.futures.ProcessPoolExecutor(),
leaker_func)
```
10MB at this point
then after executing this:
```
asyncio.run(function())
```
40MB. (~same as ThreadPoolExecutor in python3.10)
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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue41699>
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