This ensures the source directory is not modified at build time, and different builds (e.g. different versions or GIL vs no-GIL) do not have conflicts.
The "Check if generated files are up to date" job of GitHub Actions
now runs the "autoreconf -ivf -Werror" command instead of the "make
regen-configure" command to avoid depending on the external quay.io
server.
Add Tools/build/regen-configure.sh script to regenerate the configure
with an Ubuntu container image. The
"quay.io/tiran/cpython_autoconf:271" container image
(https://github.com/tiran/cpython_autoconf) is no longer used.
* Add mimalloc v2.12
Modified src/alloc.c to remove include of alloc-override.c and not
compile new handler.
Did not include the following files:
- include/mimalloc-new-delete.h
- include/mimalloc-override.h
- src/alloc-override-osx.c
- src/alloc-override.c
- src/static.c
- src/region.c
mimalloc is thread safe and shares a single heap across all runtimes,
therefore finalization and getting global allocated blocks across all
runtimes is different.
* mimalloc: minimal changes for use in Python:
- remove debug spam for freeing large allocations
- use same bytes (0xDD) for freed allocations in CPython and mimalloc
This is important for the test_capi debug memory tests
* Don't export mimalloc symbol in libpython.
* Enable mimalloc as Python allocator option.
* Add mimalloc MIT license.
* Log mimalloc in Lib/test/pythoninfo.py.
* Document new mimalloc support.
* Use macro defs for exports as done in:
https://github.com/python/cpython/pull/31164/
Co-authored-by: Sam Gross <colesbury@gmail.com>
Co-authored-by: Christian Heimes <christian@python.org>
Co-authored-by: Victor Stinner <vstinner@python.org>
* pycore_pythread.h is now the central place to make sure that
_POSIX_THREADS and _POSIX_SEMAPHORES macros are defined if
available.
* Make sure that pycore_pythread.h is included when _POSIX_THREADS
and _POSIX_SEMAPHORES macros are tested.
* PY_TIMEOUT_MAX is now defined as a constant, since its value
depends on _POSIX_THREADS, instead of being defined as a macro.
* Prevent integer overflow in the preprocessor when computing
PY_TIMEOUT_MAX_VALUE on Windows:
replace "0xFFFFFFFELL * 1000 < LLONG_MAX"
with "0xFFFFFFFELL < LLONG_MAX / 1000".
* Document the change and give hints how to fix affected code.
* Add an exception for PY_TIMEOUT_MAX name to smelly.py
* Add PY_TIMEOUT_MAX to the stable ABI
Fix a race condition in "make regen-all". The deepfreeze.c source and
files generated by Argument Clinic are now generated or updated
before generating "global objects". Previously, some identifiers may
miss depending on the order in which these files were generated.
* "make regen-global-objects": Make sure that deepfreeze.c is
generated and up to date, and always run "make clinic".
* "make clinic" no longer runs generate_global_objects.py script.
* "make regen-deepfreeze" now only updates deepfreeze.c (C file).
It doesn't build deepfreeze.o (object) anymore.
* Remove misleading messages in "make regen-global-objects" and
"make clinic". They are now outdated, these commands are now
safe to use.
* Document generates files in Doc/using/configure.rst.
Co-authored-by: Erlend E. Aasland <erlend@python.org>
Output with one wheel:
```
❯ GITHUB_ACTIONS=true ./Tools/build/verify_ensurepip_wheels.py
Verifying checksum for /Volumes/RAMDisk/cpython/Lib/ensurepip/_bundled/pip-23.2.1-py3-none-any.whl.
Expected digest: 7ccf472345f20d35bdc9d1841ff5f313260c2c33fe417f48c30ac46cccabf5be
Actual digest: 7ccf472345f20d35bdc9d1841ff5f313260c2c33fe417f48c30ac46cccabf5be
::notice file=/Volumes/RAMDisk/cpython/Lib/ensurepip/_bundled/pip-23.2.1-py3-none-any.whl::Successfully verified the checksum of the pip wheel.
```
Output with two wheels:
```
❯ GITHUB_ACTIONS=true ./Tools/build/verify_ensurepip_wheels.py
::error file=/Volumes/RAMDisk/cpython/Lib/ensurepip/_bundled/pip-22.0.4-py3-none-any.whl::Found more than one wheel for package pip.
::error file=/Volumes/RAMDisk/cpython/Lib/ensurepip/_bundled/pip-23.2.1-py3-none-any.whl::Found more than one wheel for package pip.
```
Output without wheels:
```
❯ GITHUB_ACTIONS=true ./Tools/build/verify_ensurepip_wheels.py
::error file=::Could not find a pip wheel on disk.
```
Argument Clinic now has a partial support of the
Limited API:
* Add --limited option to clinic.c.
* Add '_testclinic_limited' extension which is built with
the limited C API version 3.13.
* For now, hardcode in clinic.py that "_testclinic_limited.c" targets
the limited C API.
No longer export _PyUnicode_FromId() internal C API function.
Change comment style to "// comment" and add comment explaining why
other functions have to be exported.
Update Tools/build/generate_token.py to update Include/internal/pycore_token.h
comments.
* Instead of calling get_identifiers_and_strings(), extract identifiers and strings from pycore_global_strings.h.
* Avoid ast.literal_eval(), it's very slow.
We tried this before with a dict and for all interned strings. That ran into problems due to interpreter isolation. However, exclusively using a per-interpreter cache caused some inconsistency that can eliminate the benefit of interning. Here we circle back to using a global cache, but only for statically allocated strings. We also use a more-basic _Py_hashtable_t for that global cache instead of a dict.
Ideally we would only have the global cache, but the optional isolation of each interpreter's allocator means that a non-static string object must not outlive its interpreter. Thus we would have to store a copy of each such interned string in the global cache, tied to the main interpreter.
Remove the "cpython/pytime.h" header file: it only contained private
functions. Move functions to the internal pycore_time.h header file.
Move tests from _testcapi to _testinternalcapi. Rename also test
methods to have the same name than tested C functions.
No longer export these functions:
* _PyTime_Add()
* _PyTime_As100Nanoseconds()
* _PyTime_FromMicrosecondsClamp()
* _PyTime_FromTimespec()
* _PyTime_FromTimeval()
* _PyTime_GetPerfCounterWithInfo()
* _PyTime_MulDiv()
This is the implementation of PEP683
Motivation:
The PR introduces the ability to immortalize instances in CPython which bypasses reference counting. Tagging objects as immortal allows up to skip certain operations when we know that the object will be around for the entire execution of the runtime.
Note that this by itself will bring a performance regression to the runtime due to the extra reference count checks. However, this brings the ability of having truly immutable objects that are useful in other contexts such as immutable data sharing between sub-interpreters.
Itamar Oren
Mark Shannon
Seth Michael Larson
Seth Michael Larson
Stéphane Bidoul
Eric Snow
Victor Stinner
Yang Hau
Riccardo Ghetta
Sam Gross
Dino Viehland
Irit Katriel
Łukasz Langa
KH
Guido van Rossum
Martin DeMello
Petr Viktorin
Zachary Ware
Carl Meyer
Jelle Zijlstra
Juhi Chandalia
Barry Warsaw
Yichen Yan
Eddie Elizondo