Alex Budovski added the comment:
Interestingly enough, some of the leaked memory came from the finalize routine
itself! Here's one example:
0:004> !heap -p -a 0x000000DB144346F0
address 000000db144346f0 found in
_HEAP @ db0cae0000
HEAP_ENTRY Size Prev Flags UserPtr UserSize - state
000000db14434690 030a 0000 [00] 000000db144346c0 03074 - (busy)
7ffc55628b04 ntdll!RtlpCallInterceptRoutine+0x0000000000000040
7ffc555f9f36 ntdll!RtlAllocateHeap+0x0000000000079836
7ffc2a60c4da ucrtbased!calloc_base+0x000000000000123a
7ffc2a60c27d ucrtbased!calloc_base+0x0000000000000fdd
7ffc2a60f34f ucrtbased!malloc_dbg+0x000000000000002f
7ffc2a60fdde ucrtbased!malloc+0x000000000000001e
5a5e6ef9 python36_d!_PyMem_RawMalloc+0x0000000000000029
5a5e78c7 python36_d!_PyMem_DebugAlloc+0x0000000000000087
5a5e5e6f python36_d!_PyMem_DebugMalloc+0x000000000000001f
5a5e7230 python36_d!PyMem_Malloc+0x0000000000000030
5a582047 python36_d!new_keys_object+0x0000000000000077
5a57f7c5 python36_d!dictresize+0x0000000000000085
5a57a4b2 python36_d!PyDict_Merge+0x0000000000000112
5a57bf33 python36_d!PyDict_Update+0x0000000000000023
5a75fb1d python36_d!PyImport_Cleanup+0x000000000000045d
5a778f9e python36_d!Py_Finalize+0x000000000000005e
----------
nosy: +Alex Budovski
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Python tracker <[email protected]>
<http://bugs.python.org/issue1635741>
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