Fix a race condition in "make regen-all" when make -jN option is used
to run jobs in parallel. The clinic.py script now only use atomic
write to write files. Moveover, generated files are now left
unchanged if the content does not change, to not change the file
modification time.
The "make regen-all" command runs "make clinic" and "make
regen-importlib" targets:
* "make regen-importlib" builds object files (ex: Modules/_weakref.o)
from source files (ex: Modules/_weakref.c) and clinic files (ex:
Modules/clinic/_weakref.c.h)
* "make clinic" always rewrites all clinic files
(ex: Modules/clinic/_weakref.c.h)
Since there is no dependency between "clinic" and "regen-importlib"
Makefile targets, these two targets can be run in parallel. Moreover,
half of clinic.py file writes are not atomic and so there is a race
condition when "make regen-all" runs jobs in parallel using make -jN
option (which can be passed in MAKEFLAGS environment variable).
Fix clinic.py to make all file writes atomic:
* Add write_file() function to ensure that all file writes are
atomic: write into a temporary file and then use os.replace().
* Moreover, write_file() doesn't recreate or modify the file if the
content does not change to avoid modifying the file modification
file.
* Update test_clinic to verify these assertions with a functional
test.
* Remove Clinic.force attribute which was no longer used, whereas
Clinic.verify remains useful.
Previously, the result could have been an instance of a subclass of int.
Also revert bpo-26202 and make attributes start, stop and step of the range
object having exact type int.
Add private function _PyNumber_Index() which preserves the old behavior
of PyNumber_Index() for performance to use it in the conversion functions
like PyLong_AsLong().
Don't hardcode defining_class parameter name to "cls":
* Define CConverter.set_template_dict(): do nothing by default
* CLanguage.render_function() now calls set_template_dict() on all
converters.
Module C state is now accessible from C-defined heap type methods (PEP 573).
Patch by Marcel Plch and Petr Viktorin.
Co-authored-by: Marcel Plch <mplch@redhat.com>
Co-authored-by: Victor Stinner <vstinner@python.org>
In ArgumentClinic, value "NULL" should now be used only for unrepresentable default values
(like in the optional third parameter of getattr). "None" should be used if None is accepted
as argument and passing None has the same effect as not passing the argument at all.
Use _PyArg_CheckPositional() and inlined code instead of
PyArg_UnpackTuple() and _PyArg_UnpackStack() if all parameters
are positional and use the "object" converter.
Fix invalid function cast warnings with gcc 8
for method conventions different from METH_NOARGS, METH_O and
METH_VARARGS in Argument Clinic generated code.
When a single .c file contains several functions and/or methods with
the same name, a safety _METHODDEF #define statement is generated
only for one of them.
This fixes the bug by using the full name of the function to avoid
duplicates rather than just the name.
The function '_PyArg_ParseStack()' and
'_PyArg_UnpackStack' were failing (with error
"XXX() takes Y argument (Z given)") before
the function '_PyArg_NoStackKeywords()' was called.
Thus, the latter did not raise its more meaningful
error : "XXX() takes no keyword arguments".
Issue #29286. Use METH_FASTCALL calling convention instead of METH_VARARGS to
parse "boring" position arguments. METH_FASTCALL is faster since it avoids the
creation of a temporary tuple to pass positional arguments.
Replace PyArg_UnpackTuple() with _PyArg_UnpackStack()+_PyArg_NoStackKeywords().
Issue #29286. Use METH_FASTCALL calling convention instead of METH_VARARGS to
parse position arguments. METH_FASTCALL is faster since it avoids the creation
of a temporary tuple to pass positional arguments.
Issue #27810:
* Modify vgetargskeywordsfast() to work on a C array of PyObject* rather than
working on a tuple directly.
* Add _PyArg_ParseStack()
* Argument Clinic now emits code using the new METH_FASTCALL calling convention
Victor Stinner
Serhiy Storchaka
Petr Viktorin
Dong-hee Na
Sergey Fedoseev
Rémi Lapeyre
Raymond Hettinger
Tim Hoffmann
animalize
Tal Einat
Tal Einat
Sylvain
Gregory P. Smith
Victor Stinner
R David Murray
Benjamin Peterson