Data race reading `_thread.RLock` recursion count in `repr()` under free-threading

Bug report

Bug description:

This is a follow-up to #153292 (data race in repr() of _thread.RLock), which was fixed by making rlock_repr read the lock's owner with an atomic load. The fix covered the owner (self->lock.thread) field, but rlock_repr still reads self->lock.level with a plain (non-atomic) load to compute the recursion count:

https://github.com/python/cpython/blob/22a6c51c94a4fde986b8964f1d36d5ec3ac20dcc/Modules/_threadmodule.c#L1287-L1305

self->lock.level is written by acquire / release / _acquire_restore, e.g.:

https://github.com/python/cpython/blob/22a6c51c94a4fde986b8964f1d36d5ec3ac20dcc/Modules/_threadmodule.c#L1198-L1210

So on a free-threaded build, repr(rlock) concurrent with acquire() or release() is still a data race, now on the level field rather than the owner field the earlier fix addressed.

Reproducer:

import _thread
from threading import Thread, Barrier

shared_rlock = _thread.RLock()
state = (5, _thread.get_ident())

def chain1_thread():
    for _ in range(20000):
        try:
            shared_rlock._acquire_restore(state)
        except Exception:
            pass

def chain2_thread():
    for _ in range(20000):
        try:
            repr(shared_rlock)
        except Exception:
            pass

N_C1 = 2
N_C2 = 4
barrier = Barrier(N_C1 + N_C2)

def _c1():
    barrier.wait()
    chain1_thread()

def _c2():
    barrier.wait()
    chain2_thread()

threads  = [Thread(target=_c1) for _ in range(N_C1)]
threads += [Thread(target=_c2) for _ in range(N_C2)]
for t in threads: t.start()
for t in threads: t.join()

TSAN Report :

==================
WARNING: ThreadSanitizer: data race (pid=655652)
  Read of size 8 at 0x7fffb6610540 by thread T6:
    #0 rlock_repr /cpython/./Modules/_threadmodule.c:1295:28 
    #1 PyObject_Repr /cpython/Objects/object.c:784:11 
    #2 builtin_repr /cpython/Python/bltinmodule.c:2677:12 
    #3 _PyEval_EvalFrameDefault /cpython/Python/generated_cases.c.h:2712:35  

  Previous write of size 8 at 0x7fffb6610540 by thread T1:
    #0 _thread_RLock__acquire_restore_impl /cpython/./Modules/_threadmodule.c:1210:22 
    #1 _thread_RLock__acquire_restore /cpython/./Modules/clinic/_threadmodule.c.h:537:20 
    #2 method_vectorcall_O /cpython/Objects/descrobject.c:476:24 
    #3 _PyObject_VectorcallTstate /cpython/./Include/internal/pycore_call.h:144:11 
    #4 PyObject_Vectorcall /cpython/Objects/call.c:327:12 
    #5 _Py_VectorCallInstrumentation_StackRefSteal /cpython/Python/ceval.c:768:11 
    #6 _PyEval_EvalFrameDefault /cpython/Python/generated_cases.c.h:1906:35

SUMMARY: ThreadSanitizer: data race /cpython/./Modules/_threadmodule.c:1295:28 in rlock_repr
==================

CPython versions tested on:

CPython main branch

Operating systems tested on:

Linux

Linked PRs

• gh-155381

Beginne in Modules/_threadmodule.c bei rlock_repr sowie bei den im Bericht beschriebenen Implementierungen von acquire, release und _acquire_restore. Führe den bereitgestellten Reproducer in einem free-threaded Build mit ThreadSanitizer aus, sieh dir anschließend die zugehörigen Tests an und verifiziere, dass nebenläufige Aufrufe von repr() und Aktualisierungen des Locks keinen Race mehr melden.