Add additional GC related benchmark

Given this performance regression in Python 3.14, it would be nice if we had a benchmark which would have more clearly shown it before final release. I have a new GC specific benchmark but it doesn't do things that would show this regression.

We should consider adding a new benchmark. The key features would be:

• creating a bunch of net new container objects, in order to trigger many, potentially young generation, collections
• creating tuple objects that can be untracked by the GC, in order to avoid slowing down full collections

Ideally we prefer to avoid a micro or synthetic benchmark and instead find some kind of real application that shows this regression. E.g. near the 3.13 release, we found a GC regression shown by Sphinx building Python docs. Something like that would be good.

首先阅读链接的 Python 3.14 性能回归问题，以及 pull request 381 中现有的 GC 专用基准测试。调查一个真实应用基准，而不是合成微基准；该基准应创建大量新的容器对象和不可跟踪的元组，并暴露这一回归；完成标准是在发布前，基准测试能够清楚地显示这一行为。