Make Memory-Related Tests Less Fragile

Feature or enhancement

Proposal:

There are a number of tests that check various aspects of memory management, typically related to some specific module or feature. Nearly every one of these tests is fairly tightly coupled to the fine details of our memory management implementation, usually tied to specific numbers.

This makes the tests fragile, often breaking with even slight changes to some aspect of memory management. [^1]

[^1]: To be fair, we don't make changes to memory management very often; clearly these tests aren't breaking all the time.

For example, in https://github.com/python/cpython/pull/121134#issuecomment-2233412265, @Fidget-Spinner says:

It fails

    test.test_gdb.test_pretty_print test_capi test_exceptions
    test_regrtest test_repl test_sys test_tracemalloc

mainly because they count allocations/test out of memory situations, and the hashtable adds random allocations which breaks their careful calculations.

[^2]

[^2]: Note that those aren't necessarily the only tests that need attention here.

Ideally, we would find a way to make such tests less coupled to specific numbers, without sacrificing the accuracy of the behavior checks they are making.

Has this already been discussed elsewhere?

This is a minor feature, which does not need previous discussion elsewhere

Links to previous discussion of this feature:

No response

首先檢視 issue 中提到的記憶體敏感測試：test_gdb.test_pretty_print、test_capi、test_exceptions、test_regrtest、test_repl、test_sys 和 test_tracemalloc。找出哪些配置或記憶體不足的斷言依賴固定計數，接著判斷在不使用這些精確數字的情況下，如何仍能準確地檢查其行為。完成的標準是，受影響的測試能夠容忍相關的記憶體管理變更，同時仍能偵測回歸。