PyObject_Calloc(), _PyObject_GC_Calloc(). bytes(int) and bytearray(int) are now
using ``calloc()`` instead of ``malloc()`` for large objects which is faster
and use less memory (until the bytearray buffer is filled with data).
__file__.
This causes _frozen_importlib to no longer have __file__ set as well
as any frozen module imported using imp.init_frozen() (which is
deprecated).
now register both filenames in the exception on failure.
This required adding new C API functions allowing OSError exceptions
to reference two filenames instead of one.
* You may now specify an expression as the default value for a
parameter! Example: "sys.maxsize - 1". This support is
intentionally quite limited; you may only use values that
can be represented as static C values.
* Removed "doc_default", simplified support for "c_default"
and "py_default". (I'm not sure we still even need
"py_default", but I'm leaving it in for now in case a
use presents itself.)
* Parameter lines support a trailing '\\' as a line
continuation character, allowing you to break up long lines.
* The argument parsing code generated when supporting optional
groups now uses PyTuple_GET_SIZE instead of PyTuple_GetSize,
leading to a 850% speedup in parsing. (Just kidding, this
is an unmeasurable difference.)
* A bugfix for the recent regression where the generated
prototype from pydoc for builtins would be littered with
unreadable "=<object ...>"" default values for parameters
that had no default value.
* Converted some asserts into proper failure messages.
* Many doc improvements and fixes.
- don't call PyErr_NoMemory with interpreter is not initialised
- note that it's OK to call _PyMem_RawStrDup here
- don't include this in the limited API
- capitalise "IO"
- be explicit that a non-zero return indicates an error
- include versionadded marker in docs
This new pre-initialization API allows embedding
applications like Blender to force a particular
encoding and error handler for the standard IO streams.
Also refactors Modules/_testembed.c to let us start
testing multiple embedding scenarios.
(Initial patch by Bastien Montagne)
The GIL must be held to call PyMem_Malloc(), whereas PyOS_Readline() releases
the GIL to read input.
The result of the C callback PyOS_ReadlineFunctionPointer must now be a string
allocated by PyMem_RawMalloc() or PyMem_RawRealloc() (or NULL if an error
occurred), instead of a string allocated by PyMem_Malloc() or PyMem_Realloc().
Fixing this issue was required to setup a hook on PyMem_Malloc(), for example
using the tracemalloc module.
PyOS_Readline() copies the result of PyOS_ReadlineFunctionPointer() into a new
buffer allocated by PyMem_Malloc(). So the public API of PyOS_Readline() does
not change.
_PyMem_RawMalloc/Realloc/Free, instead of _PyMem_Malloc/Realloc/Free. So it
becomes possible to use the fast pymalloc allocator for the PYMEM_DOMAIN_MEM
domain (PyMem_Malloc/Realloc/Free functions).
-I
Run Python in isolated mode. This also implies -E and -s. In isolated mode
sys.path contains neither the script’s directory nor the user’s
site-packages directory. All PYTHON* environment variables are ignored,
too. Further restrictions may be imposed to prevent the user from
injecting malicious code.