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Heap Types In the Cross-Interpreter Data Registry are Improperly Shared #110310
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Labels
3.12
only security fixes
3.13
bugs and security fixes
interpreter-core
(Objects, Python, Grammar, and Parser dirs)
topic-subinterpreters
type-bug
An unexpected behavior, bug, or error
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ericsnowcurrently
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Oct 4, 2023
We do the following: * add a per-interpreter XID registry (PyInterpreterState.xidregistry) * put heap types there (keep static types in _PyRuntimeState.xidregistry) * clear the registries during interpreter/runtime finalization * avoid duplicate entries in the registry (when _PyCrossInterpreterData_RegisterClass() is called more than once for a type) * use Py_TYPE() instead of PyObject_Type() in _PyCrossInterpreterData_Lookup() The per-interpreter registry helps preserve isolation between interpreters. This is important when heap types are registered, which is something we haven't been doing yet but I will likely do soon.
ericsnowcurrently
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Oct 11, 2023
…ypes (pythongh-110311) We do the following: * add a per-interpreter XID registry (PyInterpreterState.xidregistry) * put heap types there (keep static types in _PyRuntimeState.xidregistry) * clear the registries during interpreter/runtime finalization * avoid duplicate entries in the registry (when _PyCrossInterpreterData_RegisterClass() is called more than once for a type) * use Py_TYPE() instead of PyObject_Type() in _PyCrossInterpreterData_Lookup() The per-interpreter registry helps preserve isolation between interpreters. This is important when heap types are registered, which is something we haven't been doing yet but I will likely do soon. (cherry-picked from commit 80dc39e)
This was referenced Oct 11, 2023
ericsnowcurrently
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Nov 28, 2023
…h-110311) (gh-110714) We do the following: * add a per-interpreter XID registry (PyInterpreterState.xidregistry) * put heap types there (keep static types in _PyRuntimeState.xidregistry) * clear the registries during interpreter/runtime finalization * avoid duplicate entries in the registry (when _PyCrossInterpreterData_RegisterClass() is called more than once for a type) * use Py_TYPE() instead of PyObject_Type() in _PyCrossInterpreterData_Lookup() The per-interpreter registry helps preserve isolation between interpreters. This is important when heap types are registered, which is something we haven't been doing yet but I will likely do soon. (cherry-picked from commit 80dc39e)
Glyphack
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Sep 2, 2024
…ythongh-110311) We do the following: * add a per-interpreter XID registry (PyInterpreterState.xidregistry) * put heap types there (keep static types in _PyRuntimeState.xidregistry) * clear the registries during interpreter/runtime finalization * avoid duplicate entries in the registry (when _PyCrossInterpreterData_RegisterClass() is called more than once for a type) * use Py_TYPE() instead of PyObject_Type() in _PyCrossInterpreterData_Lookup() The per-interpreter registry helps preserve isolation between interpreters. This is important when heap types are registered, which is something we haven't been doing yet but I will likely do soon.
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Labels
3.12
only security fixes
3.13
bugs and security fixes
interpreter-core
(Objects, Python, Grammar, and Parser dirs)
topic-subinterpreters
type-bug
An unexpected behavior, bug, or error
This can cause a weakref for a class to be decref'ed in the wrong interpreter (or even when the GIL isn't held). The solution is to have a separate registry for each interpreter for heap types. Static types would stay global.
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