[3.12] gh-109860: Use a New Thread State When Switching Interpreters, When Necessary (gh-110245) #110709
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… Consistently (pythongh-109921) The existence of background threads running on a subinterpreter was preventing interpreters from getting properly destroyed, as well as impacting the ability to run the interpreter again. It also affected how we wait for non-daemon threads to finish. We add PyInterpreterState.threads.main, with some internal C-API functions. (cherry-picked from commit 1dd9dee)
…ta (pythongh-109556) This fixes some crashes in the _xxinterpchannels module, due to a race between interpreters. (cherry picked from commit fd7e08a) Co-authored-by: Eric Snow <ericsnowcurrently@gmail.com>
…-109994) This change makes sure sys.path[0] is set properly for subinterpreters. Before, it wasn't getting set at all. This change does not address the broader concerns from pythongh-109853. (cherry-picked from commit a040a32)
…eters, When Necessary (pythongh-110245) In a few places we switch to another interpreter without knowing if it has a thread state associated with the current thread. For the main interpreter there wasn't much of a problem, but for subinterpreters we were *mostly* okay re-using the tstate created with the interpreter (located via PyInterpreterState_ThreadHead()). There was a good chance that tstate wasn't actually in use by another thread. However, there are no guarantees of that. Furthermore, re-using an already used tstate is currently fragile. To address this, now we create a new thread state in each of those places and use it. One consequence of this change is that PyInterpreterState_ThreadHead() may not return NULL (though that won't happen for the main interpreter). (cherry-picked from commit f5198b0)
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Triage: is this backport still needed? |
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3.12 is entering security-only fixes mode today. |
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In a few places we switch to another interpreter without knowing if it has a thread state associated with the current thread. For the main interpreter there wasn't much of a problem, but for subinterpreters we were mostly okay re-using the tstate created with the interpreter (located via PyInterpreterState_ThreadHead()). There was a good chance that tstate wasn't actually in use by another thread.
However, there are no guarantees of that. Furthermore, re-using an already used tstate is currently fragile. To address this, now we create a new thread state in each of those places and use it.
One consequence of this change is that PyInterpreterState_ThreadHead() may not return NULL (though that won't happen for the main interpreter).
(cherry-picked from commit f5198b0)