The implementation of `PyLong_FromLong()`, `PyLong_FromLongLong()` and `PyLong_FromSsize_t()`
are now handled by a common macro `PYLONG_FROM_INT` which contains fast paths depending on the
size of the integer to convert. Consequently, `PyLong_FromSsize_t()` for medium-sized integers is faster
by roughly 25%.
---------
Co-authored-by: Sergey B Kirpichev <skirpichev@gmail.com>
Don't use PyObject_Free() as tp_dealloc to avoid an undefined
behavior. Instead, use the default deallocator which just calls
tp_free which is PyObject_Free().
Add free-threaded versions of existing specialization for FOR_ITER (list, tuples, fast range iterators and generators), without significantly affecting their thread-safety. (Iterating over shared lists/tuples/ranges should be fine like before. Reusing iterators between threads is not fine, like before. Sharing generators between threads is a recipe for significant crashes, like before.)
The free-threading build interns and immortalizes most constants
generated by the bytecode compiler. However, users can construct their
own code objects with arbitrary constants. We should not intern or
immortalize these objects if they are not of a type that we know how to
handle.
This change fixes a reference leak failure in the recently added
`test_code.test_unusual_constants` test. It also addresses a potential
crash that could occur when attempting to destroy an immortalized
object during interpreter shutdown.
I chose to not raise an exception here because I think it would be
confusing for module attribute access to start raising something other
than AttributeError if e.g. the cwd goes away
Without the change in moduleobject.c
```
./python.exe -m unittest test.test_import.ImportTests.test_script_shadowing_stdlib_cwd_failure
...
Assertion failed: (PyErr_Occurred()), function _PyObject_SetAttributeErrorContext, file object.c, line 1253.
```
* Fix use after free in list objects
Set the items pointer in the list object to NULL after the items array
is freed during list deallocation. Otherwise, we can end up with a list
object added to the free list that contains a pointer to an already-freed
items array.
* Mark `_PyList_FromStackRefStealOnSuccess` as escaping
I think technically it's not escaping, because the only object that
can be decrefed if allocation fails is an exact list, which cannot
execute arbitrary code when it is destroyed. However, this seems less
intrusive than trying to special cases objects in the assert in `_Py_Dealloc`
that checks for non-null stackpointers and shouldn't matter for performance.
The bytecode compiler only generates a few different types of constants,
like str, int, tuple, slices, etc. Users can construct code objects with
various unusual constants, including ones that are not hashable or not
even constant.
The free threaded build previously crashed with a fatal error when
confronted with these constants. Instead, treat distinct objects of
otherwise unhandled types as not equal for the purposes of deduplication.
* Add location information when accessing already closed stackref
* Add #def option to track closed stackrefs to provide precise information for use after free and double frees.
Avoid a data race in free-threaded builds due to mutating global arrays at
runtime. Instead, compute the constants with an external Python script and
then define them as static global constant arrays. These constants are
used by `long_from_non_binary_base()`.
Remove inclusions prior to Python.h.
<stdbool.h> will cause <features.h> to be included before Python.h can
define some macros to enable some additional features, causing multiple
types not to be defined down the line.
The `free_work_item()` function in QSBR may call arbitrary code via
Python object destructors, which may reenter the QSBR code. Reorder
the processing of work items to be robust to reentrancy.
Also fix the TODO for the out of memory situation.
The `PyType_HasFeature()` function reads the flags with a relaxed atomic
load and without holding the type lock. To avoid data races, use atomic
stores if `PyType_Ready()` has already been called.