565 lines
21 KiB
ReStructuredText
565 lines
21 KiB
ReStructuredText
PEP: 580
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Title: The C call protocol
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Author: Jeroen Demeyer <J.Demeyer@UGent.be>
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Status: Draft
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Type: Standards Track
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Content-Type: text/x-rst
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Created: 14-Jun-2018
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Python-Version: 3.8
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Post-History: 20-Jun-2018, 22-Jun-2018
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Abstract
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========
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A new "C call" protocol is proposed.
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It is meant for classes representing functions or methods
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which need to implement fast calling.
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The goal is to generalize existing optimizations for built-in functions
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to arbitrary extension types.
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In the reference implementation,
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this new protocol is used for the existing classes
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``builtin_function_or_method`` and ``method_descriptor``.
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However, in the future, more classes may implement it.
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**NOTE**: This PEP deals only with CPython implementation details,
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it does not affect the Python language or standard library.
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Motivation
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==========
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Currently, the Python bytecode interpreter has various optimizations
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for calling instances of ``builtin_function_or_method``,
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``method_descriptor``, ``method`` and ``function``.
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However, none of these classes is subclassable.
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Therefore, these optimizations are not available to
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user-defined extension types.
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If this PEP is implemented, then the checks
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for ``builtin_function_or_method`` and ``method_descriptor``
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could be replaced by simply checking for and using the C call protocol.
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This simplifies existing code.
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We also design the C call protocol such that it can easily
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be extended with new features in the future.
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This protocol replaces the use of ``PyMethodDef`` pointers
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in instances of ``builtin_function_or_method`` for example.
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However, ``PyMethodDef`` arrays are still used to construct
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functions/methods but no longer for calling them.
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For more background and motivation, see PEP 579.
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New data structures
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===================
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The ``PyTypeObject`` structure gains a new field ``Py_ssize_t tp_ccalloffset``
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and a new flag ``Py_TPFLAGS_HAVE_CCALL``.
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If this flag is set, then ``tp_ccalloffset`` is assumed to be a valid
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offset inside the object structure (similar to ``tp_weaklistoffset``).
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It must be a strictly positive integer.
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At that offset, a ``PyCCallRoot`` structure appears::
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typedef struct {
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PyCCallDef *cr_ccall;
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PyObject *cr_self; /* __self__ argument for methods */
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} PyCCallRoot;
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The ``PyCCallDef`` structure contains everything needed to describe how
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the function can be called::
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typedef struct {
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uint32_t cc_flags;
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PyCFunction cc_func; /* C function to call */
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PyObject *cc_name; /* str object */
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PyObject *cc_parent; /* class or module */
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} PyCCallDef;
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The reason for putting ``__self__`` outside of ``PyCCallDef``
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is that ``PyCCallDef`` is not meant to be changed after creating the function.
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A single ``PyCCallDef`` can be shared
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by an unbound method and multiple bound methods.
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This wouldn't work if we would put ``__self__`` inside that structure.
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**NOTE**: unlike ``tp_dictoffset`` we do not allow negative numbers
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for ``tp_ccalloffset`` to mean counting from the end.
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There does not seem to be a use case for it and it would only complicate
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the implementation.
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Parent
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------
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The ``cc_parent`` field (accessed for example by a ``__parent__``
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or ``__objclass__`` descriptor from Python code) can be any Python object.
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For methods of extension types, this is set to the class.
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For functions of modules, this is set to the module.
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The parent serves multiple purposes: for methods of extension types,
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it is used for type checks like the following::
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>>> list.append({}, "x")
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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TypeError: descriptor 'append' requires a 'list' object but received a 'dict'
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PEP 573 specifies that every function should have access to the
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module in which it is defined.
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For functions of a module, this is given by the parent.
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For methods, this works indirectly through the class,
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assuming that the class has a pointer to the module.
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The parent would also typically be used to implement ``__qualname__``.
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The new C API function ``PyCCall_GenericGetQualname()`` does exactly that.
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Custom classes are free to set ``cc_parent`` to whatever they want.
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It is only used by the C call protocol if the ``CCALL_OBJCLASS`` flag is set.
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Using tp_print
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--------------
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We propose to replace the existing unused field ``tp_print``
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by ``tp_ccalloffset``.
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Since ``Py_TPFLAGS_HAVE_CCALL`` would *not* be added to
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``Py_TPFLAGS_DEFAULT``, this ensures full backwards compatibility for
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existing extension modules setting ``tp_print``.
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It also means that we can require that ``tp_ccalloffset`` is a valid
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offset when ``Py_TPFLAGS_HAVE_CCALL`` is specified:
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we do not need to check ``tp_ccalloffset != 0``.
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In future Python versions, we may decide that ``tp_print``
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becomes ``tp_ccalloffset`` unconditionally,
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drop the ``Py_TPFLAGS_HAVE_CCALL`` flag and instead check for
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``tp_ccalloffset != 0``.
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The C call protocol
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===================
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We say that a class implements the C call protocol
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if it has the ``Py_TPFLAGS_HAVE_CCALL`` flag set
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(as explained above, it must then set ``tp_ccalloffset > 0``).
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Such a class must implement ``__call__`` as described in this section
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(in practice, this just means setting ``tp_call`` to ``PyCCall_Call``).
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The ``cc_func`` field is a C function pointer.
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Its precise signature depends on flags.
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Below are the possible values for ``cc_flags & CCALL_SIGNATURE``
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together with the arguments that the C function takes.
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The return value is always ``PyObject *``.
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The following are completely analogous to the existing ``PyMethodDef``
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signature flags:
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- ``CCALL_VARARGS``: ``cc_func(PyObject *self, PyObject *args)``
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- ``CCALL_VARARGS | CCALL_KEYWORDS``: ``cc_func(PyObject *self, PyObject *args, PyObject *kwds)``
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- ``CCALL_FASTCALL``: ``cc_func(PyObject *self, PyObject *const *args, Py_ssize_t nargs)``
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- ``CCALL_FASTCALL | CCALL_KEYWORDS``: ``cc_func(PyObject *self, PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames)``
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- ``CCALL_NULLARG``: ``cc_func(PyObject *self, PyObject *null)``
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(the function takes no arguments but a ``NULL`` is passed to the C function)
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- ``CCALL_O``: ``cc_func(PyObject *self, PyObject *arg)``
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The flag ``CCALL_FUNCARG`` may be combined with any of these.
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If so, the C function takes an additional argument as first argument
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which is the function object (the ``self`` in ``__call__``).
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For example, we have the following signature:
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- ``CCALL_FUNCARG | CCALL_VARARGS``: ``cc_func(PyObject *func, PyObject *self, PyObject *args)``
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**NOTE**: in the case of bound methods, it is currently unspecified
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whether the "function object" in the paragraph above refers
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to the bound method or the original function (which is wrapped by the bound method).
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In the reference implementation, the bound method is passed.
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In the future, this may change to the wrapped function.
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Despite this ambiguity, the implementation of bound methods
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guarantees that ``PyCCall_CCALLDEF(func)``
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points to the ``CCallDef`` of the original function.
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**NOTE**: unlike the existing ``METH_...`` flags,
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the ``CCALL_...`` constants do not necessarily represent single bits.
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So checking ``(cc_flags & CCALL_VARARGS) == 0`` is not a valid way
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for checking the signature.
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There are also no guarantees of binary compatibility
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between Python versions for these flags.
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Checking __objclass__
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---------------------
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If the ``CCALL_OBJCLASS`` flag is set and if ``cr_self`` is NULL
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(this is the case for unbound methods of extension types),
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then a type check is done:
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the function must be called with at least one positional argument
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and the first (typically called ``self``) must be an instance of
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``cc_parent`` (which must be a class).
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If not, a ``TypeError`` is raised.
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Self slicing
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------------
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If ``cr_self`` is not NULL or if the flag ``CCALL_SLICE_SELF``
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is not set in ``cc_flags``, then the argument passed as ``self``
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is simply ``cr_self``.
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If ``cr_self`` is NULL and the flag ``CCALL_SLICE_SELF`` is set,
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then the first positional argument is removed from
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``args`` and instead passed as first argument to the C function.
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Effectively, the first positional argument is treated as ``__self__``.
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If there are no positional arguments, ``TypeError`` is raised.
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This process is called self slicing and a function is said to have self
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slicing if ``cr_self`` is NULL and ``CCALL_SLICE_SELF`` is set.
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Note that a ``METH_NULLARG`` function with self slicing effectively has
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one argument, namely ``self``.
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Analogously, a ``METH_O`` function with self slicing has two arguments.
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Descriptor behavior
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-------------------
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Classes supporting the C call protocol
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must implement the descriptor protocol in a specific way.
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This is required for an efficient implementation of bound methods:
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it allows sharing the ``PyCCallDef`` structure between bound and unbound methods.
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It is also needed for a correct implementation of ``_PyObject_GetMethod``
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which is used by the ``LOAD_METHOD``/``CALL_METHOD`` optimization.
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First of all, if ``func`` supports the C call protocol,
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then ``func.__set__`` must not be implemented.
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Second, ``func.__get__`` must behave as follows:
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- If ``cr_self`` is not NULL, then ``__get__`` must be a no-op
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in the sense that ``func.__get__(obj, cls)(*args, **kwds)``
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behaves exactly the same as ``func(*args, **kwds)``.
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It is also allowed for ``__get__`` to be not implemented at all.
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- If ``cr_self`` is NULL, then ``func.__get__(obj, cls)(*args, **kwds)``
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(with ``obj`` not None)
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must be equivalent to ``func(obj, *args, **kwds)``.
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In particular, ``__get__`` must be implemented in this case.
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Note that this is unrelated to self slicing: ``obj`` may be passed
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as ``self`` argument to the C function or it may be the first positional argument.
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- If ``cr_self`` is NULL, then ``func.__get__(None, cls)(*args, **kwds)``
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must be equivalent to ``func(*args, **kwds)``.
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There are no restrictions on the object ``func.__get__(obj, cls)``.
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The latter is not required to implement the C call protocol for example.
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It only specifies what ``func.__get__(obj, cls).__call__`` does.
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For classes that do not care about ``__self__`` and ``__get__`` at all,
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the easiest solution is to assign ``cr_self = Py_None``
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(or any other non-NULL value).
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Generic API functions
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---------------------
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This section lists the new public API functions dealing with the C call protocol.
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- ``int PyCCall_Check(PyObject *op)``:
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return true if ``op`` implements the C call protocol.
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All the functions and macros below
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apply to any instance supporting the C call protocol.
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In other words, ``PyCCall_Check(func)`` must be true.
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- ``PyObject * PyCCall_Call(PyObject *func, PyObject *args, PyObject *kwds)``:
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call ``func`` with positional arguments ``args``
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and keyword arguments ``kwds`` (``kwds`` may be NULL).
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This function is meant to be put in the ``tp_call`` slot.
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- ``PyObject * PyCCall_FASTCALL(PyObject *func, PyObject *const *args, Py_ssize_t nargs, PyObject *kwds)``:
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call ``func`` with ``nargs`` positional arguments given by ``args[0]``, …, ``args[nargs-1]``.
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The parameter ``kwds`` can be NULL (no keyword arguments),
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a dict with ``name:value`` items or a tuple with keyword names.
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In the latter case, the keyword values are stored in the ``args``
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array, starting at ``args[nargs]``.
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Macros to access the ``PyCCallRoot`` and ``PyCCallDef`` structures:
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- ``PyCCallRoot * PyCCall_CCALLROOT(PyObject *func)``:
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pointer to the ``PyCCallRoot`` structure inside ``func``.
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- ``PyCCallDef * PyCCall_CCALLDEF(PyObject *func)``:
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shorthand for ``PyCCall_CCALLROOT(func)->cr_ccall``.
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- ``PyObject * PyCCall_SELF(PyOject *func)``:
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shorthand for ``PyCCall_CCALLROOT(func)->cr_self``.
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Generic getters, meant to be put into the ``tp_getset`` array:
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- ``PyObject * PyCCall_GenericGetName(PyObject *func, void *closure)``:
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return ``cc_name``.
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- ``PyObject * PyCCall_GenericGetParent(PyObject *func, void *closure)``:
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return ``cc_parent``.
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Raise ``AttributeError`` if ``cc_parent`` is NULL.
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- ``PyObject * PyCCall_GenericGetQualname(PyObject *func, void *closure)``:
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return a string suitable for using as ``__qualname__``.
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This uses the ``__qualname__`` of ``cc_parent`` if possible.
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Otherwise, this returns ``cc_name``.
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- ``PyObject * PyCCall_GenericGetSelf(PyObject *func, void *closure)``:
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return ``cr_self``.
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Raise ``AttributeError`` if ``cr_self`` is NULL.
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Profiling
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---------
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A flag ``CCALL_PROFILE`` is added to control profiling [#setprofile]_.
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If this flag is set, then the profiling events
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``c_call``, ``c_return`` and ``c_exception`` are generated.
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When an unbound method is called
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(``cr_self`` is NULL and ``CCALL_SLICE_SELF`` is set),
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the argument to the profiling function is the corresponding bound method
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(obtained by calling ``__get__``).
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This is meant for backwards compatibility and to simplify
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the implementation of the profiling function.
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Changes to built-in functions and methods
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=========================================
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The reference implementation of this PEP changes
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the existing classes ``builtin_function_or_method`` and ``method_descriptor``
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to use the C call protocol.
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In fact, those two classes are almost merged:
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the implementation becomes very similar, but they remain separate classes
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(mostly for backwards compatibility).
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The ``PyCCallDef`` structure is simply stored
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as part of the object structure.
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Both classes use ``PyCFunctionObject`` as object structure.
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This is the new layout::
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typedef struct {
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PyObject_HEAD
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PyCCallDef *m_ccall;
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PyObject *m_self;
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PyCCallDef _ccalldef;
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PyObject *m_module;
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const char *m_doc;
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PyObject *m_weakreflist;
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} PyCFunctionObject;
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For functions of a module and for unbound methods of extension types,
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``m_ccall`` points to the ``_ccalldef`` field.
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For bound methods, ``m_ccall`` points to the ``PyCCallDef``
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of the unbound method.
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**NOTE**: the new layout of ``method_descriptor`` changes it
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such that it no longer starts with ``PyDescr_COMMON``.
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This is purely an implementation detail and it should cause few (if any)
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compatibility problems.
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C API functions
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---------------
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The following function is added (also to the stable ABI [#pep384]_):
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- ``PyObject * PyCFunction_ClsNew(PyTypeObject *cls, PyMethodDef *ml, PyObject *self, PyObject *module, PyObject *parent)``:
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create a new object with object structure ``PyCFunctionObject`` and class ``cls``.
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This is called in turn by ``PyCFunction_NewEx`` and ``PyDescr_NewMethod``.
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The undocumented functions ``PyCFunction_GetFlags``
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and ``PyCFunction_GET_FLAGS``
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are removed because it would be non-trivial to support them
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in a backwards-compatible way.
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Inheritance
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===========
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Extension types inherit the type flag ``Py_TPFLAGS_HAVE_CCALL``
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and the value ``tp_ccalloffset`` from the base class,
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provided that they implement ``tp_call`` and ``tp_descr_get``
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the same way as the base class.
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Heap types never inherit the C call protocol because
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that would not be safe (heap types can be changed dynamically).
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Performance
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===========
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This PEP should not impact the performance of existing code
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(in the positive or negative sense).
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It is meant to allow efficient new code to be written,
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not to make existing code faster.
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Stable ABI
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==========
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None of the functions, structures or constants dealing with the C call protocol
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are added to the stable ABI [#pep384]_.
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There are two reasons for this:
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first of all, the most useful feature of the C call protocol is probably the
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``METH_FASTCALL`` calling convention.
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Given that this is not even part of the public API (see also PEP 579, issue 6),
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it would be strange to add anything else from the C call protocol
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to the stable ABI.
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Second, we want the C call protocol to be extensible in the future.
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By not adding anything to the stable ABI,
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we are free to do that without restrictions.
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Backwards compatibility
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=======================
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There should be no difference at all for the Python interface,
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and neither for the documented C API
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(in the sense that all functions remain supported with the same functionality).
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The removed function ``PyCFunction_GetFlags``,
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is officially part of the stable ABI [#pep384]_.
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However, this is probably an oversight:
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first of all, it is not even documented.
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Second, the flag ``METH_FASTCALL``
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is not part of the stable ABI but it is very common
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(because of Argument Clinic).
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So, if one cannot support ``METH_FASTCALL``,
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it is hard to imagine a use case for ``PyCFunction_GetFlags``.
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The fact that ``PyCFunction_GET_FLAGS`` and ``PyCFunction_GetFlags``
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are not used at all by CPython outside of ``Objects/call.c``
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further shows that these functions are not particularly useful.
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Concluding: the only potential breakage is with C code
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which accesses the internals of ``PyCFunctionObject`` and ``PyMethodDescrObject``.
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We expect very few problems because of this.
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Rationale
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=========
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Why is this better than PEP 575?
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--------------------------------
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One of the major complaints of PEP 575 was that is was coupling
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functionality (the calling and introspection protocol)
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with the class hierarchy:
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a class could only benefit from the new features
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if it was a subclass of ``base_function``.
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It may be difficult for existing classes to do that
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because they may have other constraints on the layout of the C object structure,
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coming from an existing base class or implementation details.
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For example, ``functools.lru_cache`` cannot implement PEP 575 as-is.
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It also complicated the implementation precisely because changes
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were needed both in the implementation details and in the class hierarchy.
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The current PEP does not have these problems.
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Why store the function pointer in the instance?
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-----------------------------------------------
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The actual information needed for calling an object
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is stored in the instance (in the ``PyCCallDef`` structure)
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instead of the class.
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This is different from the ``tp_call`` slot or earlier attempts
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at implementing a ``tp_fastcall`` slot [#bpo29259]_.
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The main use case is built-in functions and methods.
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For those, the C function to be called does depend on the instance.
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Note that the current protocol makes it easy to support the case
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where the same C function is called for all instances:
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just use a single static ``PyCCallDef`` structure for every instance.
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Why CCALL_OBJCLASS?
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-------------------
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The flag ``CCALL_OBJCLASS`` is meant to support various cases
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where the class of a ``self`` argument must be checked, such as::
|
||
|
||
>>> list.append({}, None)
|
||
Traceback (most recent call last):
|
||
File "<stdin>", line 1, in <module>
|
||
TypeError: append() requires a 'list' object but received a 'dict'
|
||
|
||
>>> list.__len__({})
|
||
Traceback (most recent call last):
|
||
File "<stdin>", line 1, in <module>
|
||
TypeError: descriptor '__len__' requires a 'list' object but received a 'dict'
|
||
|
||
>>> float.__dict__["fromhex"](list, "0xff")
|
||
Traceback (most recent call last):
|
||
File "<stdin>", line 1, in <module>
|
||
TypeError: descriptor 'fromhex' for type 'float' doesn't apply to type 'list'
|
||
|
||
In the reference implementation, only the first of these uses the new code.
|
||
The other examples show that these kind of checks appear
|
||
in multiple places, so it makes sense to add generic support for them.
|
||
|
||
Why CCALL_SLICE_SELF?
|
||
---------------------
|
||
|
||
The flag ``CCALL_SLICE_SELF`` and the concept of self slicing
|
||
are needed to support methods:
|
||
the C function should not care
|
||
whether it is called as unbound method or as bound method.
|
||
In both cases, there should be a ``self`` argument
|
||
and this is simply the first positional argument of an unbound method call.
|
||
|
||
For example, ``list.append`` is a ``METH_O`` method.
|
||
Both the calls ``list.append([], 42)`` and ``[].append(42)`` should
|
||
translate to the C call ``list_append([], 42)``.
|
||
|
||
Thanks to the proposed C call protocol, we can support this in such a way
|
||
that both the unbound and the bound method share a ``PyCCallDef``
|
||
structure (with the ``CCALL_SLICE_SELF`` flag set).
|
||
|
||
Concluding, ``CCALL_SLICE_SELF`` has two advantages:
|
||
there is no extra layer of indirection for calling
|
||
and constructing bound methods does not require setting up a ``PyCCallDef`` structure.
|
||
|
||
Replacing tp_print
|
||
------------------
|
||
|
||
We repurpose ``tp_print`` as ``tp_ccalloffset`` because this makes
|
||
it easier for external projects to backport the C call protocol
|
||
to earlier Python versions.
|
||
In particular, the Cython project has shown interest in doing that
|
||
(see https://mail.python.org/pipermail/python-dev/2018-June/153927.html).
|
||
|
||
|
||
Reference implementation
|
||
========================
|
||
|
||
The reference implementation can be found at
|
||
https://github.com/jdemeyer/cpython/tree/pep580
|
||
|
||
|
||
References
|
||
==========
|
||
|
||
.. [#pep384] Löwis, PEP 384 – Defining a Stable ABI,
|
||
https://www.python.org/dev/peps/pep-0384/
|
||
|
||
.. [#setprofile] ``sys.setprofile`` documentation,
|
||
https://docs.python.org/3.8/library/sys.html#sys.setprofile
|
||
|
||
.. [#bpo29259] Add tp_fastcall to PyTypeObject: support FASTCALL calling convention for all callable objects,
|
||
https://bugs.python.org/issue29259
|
||
|
||
Copyright
|
||
=========
|
||
|
||
This document has been placed in the public domain.
|
||
|
||
|
||
|
||
..
|
||
Local Variables:
|
||
mode: indented-text
|
||
indent-tabs-mode: nil
|
||
sentence-end-double-space: t
|
||
fill-column: 70
|
||
coding: utf-8
|
||
End:
|