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Title: Memory leak when reading co_code attribute of deepfrozen code objects · Issue #93728 · python/cpython · GitHub

Open Graph Title: Memory leak when reading co_code attribute of deepfrozen code objects · Issue #93728 · python/cpython

X Title: Memory leak when reading co_code attribute of deepfrozen code objects · Issue #93728 · python/cpython

Description: Reproducer: import os os.path.join.__code__.co_code Relevant Valgrind Report: ==21416== HEAP SUMMARY: ==21416== in use at exit: 397 bytes in 1 blocks ==21416== total heap usage: 19,728 allocs, 19,727 frees, 2,629,532 bytes allocated ==21...

Open Graph Description: Reproducer: import os os.path.join.__code__.co_code Relevant Valgrind Report: ==21416== HEAP SUMMARY: ==21416== in use at exit: 397 bytes in 1 blocks ==21416== total heap usage: 19,728 allocs, 19,7...

X Description: Reproducer: import os os.path.join.__code__.co_code Relevant Valgrind Report: ==21416== HEAP SUMMARY: ==21416== in use at exit: 397 bytes in 1 blocks ==21416== total heap usage: 19,728 allocs, 19,7...

Opengraph URL: https://github.com/python/cpython/issues/93728

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Hey, it has json ld scripts:
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Memory leak when reading co_code attribute of deepfrozen code objects ","articleBody":"Reproducer:\r\n```py\r\nimport os\r\nos.path.join.__code__.co_code\r\n```\r\n\r\nRelevant Valgrind Report:\r\n```console\r\n==21416== HEAP SUMMARY:\r\n==21416==     in use at exit: 397 bytes in 1 blocks\r\n==21416==   total heap usage: 19,728 allocs, 19,727 frees, 2,629,532 bytes allocated\r\n==21416== \r\n==21416== 397 bytes in 1 blocks are still reachable in loss record 1 of 1\r\n==21416==    at 0x483B7F3: malloc (in /usr/lib/x86_64-linux-gnu/valgrind/vgpreload_memcheck-amd64-linux.so)\r\n==21416==    by 0x2FA6DD: _PyMem_RawMalloc (obmalloc.c:101)\r\n==21416==    by 0x2FC5CD: PyObject_Malloc (obmalloc.c:713)\r\n==21416==    by 0x287BDC: _PyBytes_FromSize (bytesobject.c:103)\r\n==21416==    by 0x2881A6: PyBytes_FromStringAndSize (bytesobject.c:136)\r\n==21416==    by 0x29F609: _PyCode_GetCode (codeobject.c:1374)\r\n==21416==    by 0x29F69B: code_getcode (codeobject.c:1728)\r\n==21416==    by 0x2A31B2: getset_get (descrobject.c:202)\r\n==21416==    by 0x2F86E6: _PyObject_GenericGetAttrWithDict (object.c:1269)\r\n==21416==    by 0x2F8F14: PyObject_GenericGetAttr (object.c:1357)\r\n==21416==    by 0x2F9864: PyObject_GetAttr (object.c:912)\r\n==21416==    by 0x3B5B16: _PyEval_EvalFrameDefault (ceval.c:3472)\r\n==21416== \r\n==21416== LEAK SUMMARY:\r\n==21416==    definitely lost: 0 bytes in 0 blocks\r\n==21416==    indirectly lost: 0 bytes in 0 blocks\r\n==21416==      possibly lost: 0 bytes in 0 blocks\r\n==21416==    still reachable: 397 bytes in 1 blocks\r\n==21416==         suppressed: 0 bytes in 0 blocks\r\n==21416== \r\n\r\n```\r\n This is a 3.12 only regression caused by #93382.","author":{"url":"https://github.com/kumaraditya303","@type":"Person","name":"kumaraditya303"},"datePublished":"2022-06-11T16:03:43.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":2},"url":"https://github.com/93728/cpython/issues/93728"}

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