This is the only static type in the module that we will not keep static.
(cherry picked from commit 548a11d5cf)
(cherry-picked from commit 34f9b3e724)
Co-authored-by: Eric Snow <ericsnowcurrently@gmail.com>
Co-authored by: Kirill Podoprigora <kirill.bast9@mail.ru>
gh-117142: Slightly hacky fix for memory leak of StgInfo (GH-119424)
Add a funciton that inlines PyObject_GetTypeData and skips
type-checking, so it doesn't need access to the CType_Type object.
This will break if the memory layout changes, but should
be an acceptable solution to enable ctypes in subinterpreters in
Python 3.13.
Mark _ctypes as safe for multiple interpreters
(cherry picked from commit a192547dfe)
Co-authored-by: Petr Viktorin <encukou@gmail.com>
Co-authored-by: neonene <53406459+neonene@users.noreply.github.com>
This is an unrevert of d58ebf0 (gh-119636), which was reverted by 9216a53 (gh-119639) due to problems which have been resolved.
This is minimal support for multiphase init. Subinterpreters are not supported yet. That will be addressed in a later change.
(cherry picked from commit 3e8b609)
Co-authored-by: Erlend E. Aasland erlend@python.org
gh-119661: Add _Py_SINGLETON() include in Argumenet Clinic (#119712)
When the _Py_SINGLETON() is used, Argument Clinic now adds an
explicit "pycore_runtime.h" include to get the macro. Previously, the
macro may or may not be included indirectly by another include.
(cherry picked from commit 7ca74a760a)
This is a backport of 3 commits that go together.
(cherry picked from commit a895756)
(cherry picked from commit b30d30c)
(cherry picked from commit a89fc26)
This is minimal support. Subinterpreters are not supported yet. That will be addressed in a later change.
(cherry picked from commit 3e8b60905e)
Co-authored-by: Erlend E. Aasland <erlend@python.org>
Co-authored-by: Eric Snow <ericsnowcurrently@gmail.com>
The fix in gh-119561 introduced an assertion that doesn't hold true if any of the three new test extension modules are loaded more than once. This is fine normally but breaks if the new test_check_state_first() is run more than once, which happens for refleak checking and with the regrtest --forever flag. We fix that here by clearing each of the three modules after loading them. We also tweak a check in _modules_by_index_check().
(cherry picked from commit ae7b17673f)
Co-authored-by: Eric Snow <ericsnowcurrently@gmail.com>
The assertion was added in gh-118532 but was based on the invalid assumption that PyState_FindModule() would only be called with an already-initialized module def. I've added a test to make sure we don't make that assumption again.
(cherry picked from commit 0c5ebe13e9)
Co-authored-by: Eric Snow <ericsnowcurrently@gmail.com>
gh-69214: Fix fcntl.ioctl() request type (GH-119498)
Use an 'unsigned long' instead of an 'unsigned int' for the request
parameter of fcntl.ioctl() to support requests larger than UINT_MAX.
(cherry picked from commit 92fab3356f)
Co-authored-by: Victor Stinner <vstinner@python.org>
_PyArg_Parser holds static global data generated for modules by Argument Clinic. The _PyArg_Parser.kwtuple field is a tuple object, even though it's stored within a static global. In some cases the tuple is statically allocated and thus it's okay that it gets shared by multiple interpreters. However, in other cases the tuple is set lazily, allocated from the heap using the active interprepreter at the point the tuple is needed.
This is a problem once that interpreter is destroyed since _PyArg_Parser.kwtuple becomes at dangling pointer, leading to crashes. It isn't a problem if the tuple is allocated under the main interpreter, since its lifetime is bound to the lifetime of the runtime. The solution here is to temporarily switch to the main interpreter. The alternative would be to always statically allocate the tuple.
This change also fixes a bug where only the most recent parser was added to the global linked list.
(cherry picked from commit 81865002ae)
Co-authored-by: Eric Snow <ericsnowcurrently@gmail.com>
The source line was not displayed if the warnings module had not yet
been imported.
(cherry picked from commit 100c7ab00a)
Co-authored-by: Kirill Podoprigora <kirill.bast9@mail.ru>
This reverts commit ad4f909e0e.
The API ended up not being used.
(cherry picked from commit 46c808172f)
Co-authored-by: Sam Gross <colesbury@gmail.com>
These methods are purely wrappers around `Semlock.{acquire,release}`,
which expect a critical section to be held.
(cherry picked from commit c30d8e5d6c)
Co-authored-by: mpage <mpage@meta.com>
Callbacks registered in the tkinter module now take arguments as
various Python objects (int, float, bytes, tuple), not just str.
To restore the previous behavior set tkinter module global wantobject to 1
before creating the Tk object or call the wantobject() method of the Tk object
with argument 1.
Calling it with argument 2 restores the current default behavior.
Fix an edge case in `binascii.a2b_base64` strict mode, where
excessive padding was not detected when no padding is necessary.
Co-authored-by: Terry Jan Reedy <tjreedy@udel.edu>
Co-authored-by: Pieter Eendebak <pieter.eendebak@gmail.com>
We already intern and immortalize most string constants. In the
free-threaded build, other constants can be a source of reference count
contention because they are shared by all threads running the same code
objects.
Add _PyType_LookupRef and use incref before setting attribute on type
Makes setting an attribute on a class and signaling type modified atomic
Avoid adding re-entrancy exposing the type cache in an inconsistent state by decrefing after type is updated
This is an experimental feature, for internal use.
Setting tkinter._debug = True before creating the root window enables
printing every executed Tcl command (or a Tcl command equivalent to the
used Tcl C API).
This will help to convert a Tkinter example into Tcl script to check
whether the issue is caused by Tkinter or exists in the underlying Tcl/Tk
library.
Use the new public Raw functions:
* _PyTime_PerfCounterUnchecked() with PyTime_PerfCounterRaw()
* _PyTime_TimeUnchecked() with PyTime_TimeRaw()
* _PyTime_MonotonicUnchecked() with PyTime_MonotonicRaw()
Remove internal functions:
* _PyTime_PerfCounterUnchecked()
* _PyTime_TimeUnchecked()
* _PyTime_MonotonicUnchecked()
This PR adds the ability to enable the GIL if it was disabled at
interpreter startup, and modifies the multi-phase module initialization
path to enable the GIL when loading a module, unless that module's spec
includes a slot indicating it can run safely without the GIL.
PEP 703 called the constant for the slot `Py_mod_gil_not_used`; I went
with `Py_MOD_GIL_NOT_USED` for consistency with gh-104148.
A warning will be issued up to once per interpreter for the first
GIL-using module that is loaded. If `-v` is given, a shorter message
will be printed to stderr every time a GIL-using module is loaded
(including the first one that issues a warning).
Now inspect.signature() supports references to the module globals in
parameter defaults on methods in extension modules. Previously it was
only supported in functions. The workaround was to specify the fully
qualified name, including the module name.
Add "Raw" variant of PyTime functions:
* PyTime_MonotonicRaw()
* PyTime_PerfCounterRaw()
* PyTime_TimeRaw()
Changes:
* Add documentation and tests. Tests release the GIL while calling
raw clock functions.
* py_get_system_clock() and py_get_monotonic_clock() now check that
the GIL is hold by the caller if raise_exc is non-zero.
* Reimplement "Unchecked" functions with raw clock functions.
Co-authored-by: Petr Viktorin <encukou@gmail.com>
The code for Tier 2 is now only compiled when configured
with `--enable-experimental-jit[=yes|interpreter]`.
We drop support for `PYTHON_UOPS` and -`Xuops`,
but you can disable the interpreter or JIT
at runtime by setting `PYTHON_JIT=0`.
You can also build it without enabling it by default
using `--enable-experimental-jit=yes-off`;
enable with `PYTHON_JIT=1`.
On Windows, the `build.bat` script supports
`--experimental-jit`, `--experimental-jit-off`,
`--experimental-interpreter`.
In the C code, `_Py_JIT` is defined as before
when the JIT is enabled; the new variable
`_Py_TIER2` is defined when the JIT *or* the
interpreter is enabled. It is actually a bitmask:
1: JIT; 2: default-off; 4: interpreter.