René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Optimize `asyncio.get_running_loop`","articleBody":"`asyncio.get_running_loop` is one of the most performance critical functions in `asyncio`. With https://github.com/python/cpython/issues/66285 the running loop can be reset  in the fork handler thereby avoiding the need for the `getpid` checks. The whole running loop holder object is unnecessary now and adds up unnecessary dependent memory loads. \r\n\r\nBenchmark: \r\n```py\r\nimport asyncio\r\nfrom pyperf import Runner\r\n\r\nasync def main():\r\n    for i in range(10000):\r\n        asyncio.get_running_loop()\r\n\r\n\r\nrunner = Runner()\r\nrunner.bench_async_func(\"main\", main)\r\n```\r\n\r\nResult: \r\n\r\n| Benchmark | base    | patch                 |\r\n|-----------|:-------:|:---------------------:|\r\n| main      | 5.03 ms | 328 us: 15.33x faster |\r\n\r\n\r\nThe numbers speak for themselves. \r\n\r\n\u003c!-- gh-linked-prs --\u003e\r\n### Linked PRs\r\n* gh-100364\r\n\u003c!-- /gh-linked-prs --\u003e\r\n","author":{"url":"https://github.com/kumaraditya303","@type":"Person","name":"kumaraditya303"},"datePublished":"2022-12-20T11:02:32.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/100363/cpython/issues/100363"}