Improve speed of stdlib functions by replacing `re` uses

We can often find the module re in the standard library modules but it can be replaced (if it is possible). I don't suggest removing it everywhere, there are places where its use is appropriate, but there are also places where it is an unnecessary solution and leads to unpleasant consequences (they can be found below)

Cons of regular expressions and reasons to replace regular expressions with functions and methods:

1. We spend time to compile re pattern (one time, but anyway we spend it)
2. In most cases simple string methods are faster (according to my benchmarks about 2x)
3. We can remove import re which will affect import time
4. Additionally: I think for those who don't know regular expressions, the code is more difficult to read and therefore difficult to maintain.

[!IMPORTANT]
For those who want to work on the issue, please:

• Read https://devguide.python.org/getting-started/pull-request-lifecycle/ before anything else.
• Select one function to improve. It's easier to review and possibly backport.
• Always report benchmarks using pyperf, hyperfine, and tuna together with -X importtime to compare import times and execution time.
• Open a pull request with the following title: gh-130167: Improve speed of `module.function` by replacing `re`

Linked PRs

• gh-130170
• gh-130242
• gh-130243
• gh-131919
• gh-131925
• gh-131924
• gh-132065
• gh-132666
• gh-143292

先閱讀 pull request 生命週期指南，然後檢查匯入 re 的標準函式庫模組，並選擇一個函式進行改進。使用 pyperf、hyperfine 以及帶有 -X importtime 的 tuna，將現有實作與字串方法進行比較。當一個函式具備基準測試證據，且有一個使用所要求標題格式的 pull request 時，即表示完成。