This involves 3 changes: some general cleanup, checks to match the kind of module, and switch from testing against sys to _imp.
This is a precursor to gh-103150, though the changes are meant to stand on their own.
Sharing mutable (or non-immortal) objects between interpreters is generally not safe. We can work around that but not easily.
There are two restrictions that are critical for objects that break interpreter isolation.
The first is that the object's state be guarded by a global lock. For now the GIL meets this requirement, but a granular global lock is needed once we have a per-interpreter GIL.
The second restriction is that the object (and, for a container, its items) be deallocated/resized only when the interpreter in which it was allocated is the current one. This is because every interpreter has (or will have, see gh-101660) its own object allocator. Deallocating an object with a different allocator can cause crashes.
The dict for the cache of module defs is completely internal, which simplifies what we have to do to meet those requirements. To do so, we do the following:
* add a mechanism for re-using a temporary thread state tied to the main interpreter in an arbitrary thread
* add _PyRuntime.imports.extensions.main_tstate`
* add _PyThreadState_InitDetached() and _PyThreadState_ClearDetached() (pystate.c)
* add _PyThreadState_BindDetached() and _PyThreadState_UnbindDetached() (pystate.c)
* make sure the cache dict (_PyRuntime.imports.extensions.dict) and its items are all owned by the main interpreter)
* add a placeholder using for a granular global lock
Note that the cache is only used for legacy extension modules and not for multi-phase init modules.
https://github.com/python/cpython/issues/100227
On content update, builds `python` and the docs. Also adds a Dockerfile that should include everything but autoconf 2.69 that's necessary to build CPython and the entire stdlib on Fedora.
Co-authored-by: Ronald Oussoren <ronaldoussoren@mac.com>
Co-authored-by: Dusty Phillips <dusty@phillips.codes>
We can revisit the options for keeping it global later, if desired. For now the approach seems quite complex, so we've gone with the simpler isolation solution in the meantime.
https://github.com/python/cpython/issues/100227
There are some warnings if build python via clang:
Parser/pegen.c:812:31: warning: a function declaration without a prototype is deprecated in all versions of C [-Wstrict-prototypes]
_PyPegen_clear_memo_statistics()
^
void
Parser/pegen.c:820:29: warning: a function declaration without a prototype is deprecated in all versions of C [-Wstrict-prototypes]
_PyPegen_get_memo_statistics()
^
void
Fix it to make clang happy.
Signed-off-by: Chenxi Mao <chenxi.mao@suse.com>
This reverts commit 87be8d9.
This approach to keeping the interned strings safe is turning out to be too complex for my taste (due to obmalloc isolation). For now I'm going with the simpler solution, making the dict per-interpreter. We can revisit that later if we want a sharing solution.
This commit prefixes `__dataclass` to several things in the locals dict:
- Names like `_dflt_` (which cause trouble, see first test)
- Names like `_type_` (not known to be able to cause trouble)
- `_return_type` (not known to able to cause trouble)
- `_HAS_DEFAULT_FACTORY` (which causes trouble, see second test)
In addition, this removes `MISSING` from the locals dict. As far as I can tell, this wasn't needed even in the initial implementation of dataclasses.py (and tests on that version passed with it removed). This makes me wary :-)
This is basically a continuation of #96151, where fixing this was welcomed in https://github.com/python/cpython/pull/98143#issuecomment-1280306360
Partha P. Mukherjee
Irit Katriel
Brett Cannon
Alex Waygood
Ethan Furman
Eric Snow
James De Bias
Furkan Onder
Petr Viktorin
Hugo van Kemenade
gaogaotiantian
Missoupro
Brian Haley
Jeong, YunWon
Shantanu
Brandt Bucher
Bernhard Wagner
Matěj Cepl
Nikita Sobolev
Steve Dower
Chenxi Mao
Oleg Iarygin
Matthias Görgens
Liyang Zhang
Peter Jiping Xie
Raymond Hettinger
JakobDev
Amin Alaee