Recursing added the comment:
> Without asyncio memory consumption stays low and stable for me
Same for me
> RSS jumps from 20 MB to about 1,600 MB.
That is the memory consumption I observe as well, the issue is that it doesn't
get freed on Linux
> There is almost no increase w
Recursing added the comment:
Removing the `await asyncio.sleep(1)` removes the leak, while changing it to
`await asyncio.sleep(0)` seems to keep it
--
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Python tracker
<https://bugs.python.org/issue40
New submission from Recursing :
Minimal code to reproduce:
```
import ssl
import certifi
import gc
import asyncio
ca_path = certifi.where()
async def make_async_context() -> None:
context = ssl.SSLContext(ssl.PROTOCOL_TLS)
context.load_verify_locations(ca_path)
await asyncio.sl
Recursing added the comment:
Rereading the documentation it's actually well documented, and I fully agree.
Thanks for your time
--
stage: patch review -> resolved
status: open -> closed
___
Python tracker
<https://bugs.python.org/i
Recursing added the comment:
I now know that the correct and fastest way to do this is to use
pattern.search, but I still think this change would be an improvement
--
___
Python tracker
<https://bugs.python.org/issue39
Change by Recursing :
--
keywords: +patch
pull_requests: +17234
stage: -> patch review
pull_request: https://github.com/python/cpython/pull/17799
___
Python tracker
<https://bugs.python.org/issu
New submission from Recursing :
In the re module, re._compile gets called when using most re methods.
In my use case (which I think is not rare) I have a small number of compiled
patterns that I have to match against a large number of short strings
profiling showed that half of the total
