Following system colour scheme Selected dark colour scheme Selected light colour scheme

Python Enhancement Proposals

PEP 667 – Consistent views of namespaces

Author:
Mark Shannon <mark at hotpy.org>, Tian Gao <gaogaotiantian at hotmail.com>
Discussions-To:
Discourse thread
Status:
Draft
Type:
Standards Track
Created:
30-Jul-2021
Python-Version:
3.13
Post-History:
20-Aug-2021

Table of Contents

Abstract

In early versions of Python all namespaces, whether in functions, classes or modules, were all implemented the same way: as a dictionary.

For performance reasons, the implementation of function namespaces was changed. Unfortunately this meant that accessing these namespaces through locals() and frame.f_locals ceased to be consistent and some odd bugs crept in over the years as threads, generators and coroutines were added.

This PEP proposes making these namespaces consistent once more. Modifications to frame.f_locals will always be visible in the underlying variables. Modifications to local variables will immediately be visible in frame.f_locals, and they will be consistent regardless of threading or coroutines.

The locals() function will act the same as it does now for class and modules scopes. For function scopes it will return an instantaneous snapshot of the underlying frame.f_locals.

Motivation

The current implementation of locals() and frame.f_locals is slow, inconsistent and buggy. We want to make it faster, consistent, and most importantly fix the bugs.

For example:

class C:
    x = 1
    sys._getframe().f_locals['x'] = 2
    print(x)

prints 2

but:

def f():
    x = 1
    sys._getframe().f_locals['x'] = 2
    print(x)
f()

prints 1

This is inconsistent, and confusing. With this PEP both examples would print 2.

Worse than that, the current behavior can result in strange bugs.

There are no compensating advantages for the current behavior; it is unreliable and slow.

Rationale

The current implementation of frame.f_locals returns a dictionary that is created on the fly from the array of local variables. This can result in the array and dictionary getting out of sync with each other. Writes to the f_locals may not show up as modifications to local variables. Writes to local variables can get lost.

By making frame.f_locals return a view on the underlying frame, these problems go away. frame.f_locals is always in sync with the frame because it is a view of it, not a copy of it.

Specification

Python

frame.f_locals will return a view object on the frame that implements the collections.abc.Mapping interface.

For module and class scopes frame.f_locals will be a dictionary, for function scopes it will be a custom class.

locals() will be defined as:

def locals():
    frame = sys._getframe(1)
    f_locals = frame.f_locals
    if frame.is_function():
        f_locals = dict(f_locals)
    return f_locals

All writes to the f_locals mapping will be immediately visible in the underlying variables. All changes to the underlying variables will be immediately visible in the mapping. The f_locals object will be a full mapping, and can have arbitrary key-value pairs added to it.

For example:

def l():
    "Get the locals of caller"
    return sys._getframe(1).f_locals

def test():
    if 0: y = 1 # Make 'y' a local variable
    x = 1
    l()['x'] = 2
    l()['y'] = 4
    l()['z'] = 5
    y
    print(locals(), x)

test() will print {'x': 2, 'y': 4, 'z': 5} 2.

In Python 3.10, the above will fail with an UnboundLocalError, as the definition of y by l()['y'] = 4 is lost.

If the second-to-last line were changed from y to z, this would be a NameError, as it is today. Keys added to frame.f_locals that are not lexically local variables remain visible in frame.f_locals, but do not dynamically become local variables.

C-API

Extensions to the API

Four new C-API functions will be added:

PyObject *PyEval_GetFrameLocals(void)
PyObject *PyEval_GetFrameGlobals(void)
PyObject *PyEval_GetFrameBuiltins(void)
PyObject *PyFrame_GetLocals(PyFrameObject *f)

PyEval_GetFrameLocals() is equivalent to: locals(). PyEval_GetFrameGlobals() is equivalent to: globals().

PyFrame_GetLocals(f) is equivalent to: f.f_locals.

All these functions will return a new reference.

Changes to existing APIs

The following C-API functions will be deprecated, as they return borrowed references:

PyEval_GetLocals()
PyEval_GetGlobals()
PyEval_GetBuiltins()

They will be removed in 3.15 at the earliest, and 3.18 at the latest. The exact version of removal will depend on the cost of continuing to support these functions.

The following functions should be used instead:

PyEval_GetFrameLocals()
PyEval_GetFrameGlobals()
PyEval_GetFrameBuiltins()

which return new references.

The semantics of PyEval_GetLocals() is changed as it now returns a view of the frame locals, not a dictionary.

The following three functions will become no-ops, and will be deprecated:

PyFrame_FastToLocalsWithError()
PyFrame_FastToLocals()
PyFrame_LocalsToFast()

They may be removed in the future, but no earlier than 3.18.

Behavior of f_locals for optimized functions

Although f.f_locals behaves as if it were the namespace of the function, there will be some observable differences. For example, f.f_locals is f.f_locals may be False.

However f.f_locals == f.f_locals will be True, and all changes to the underlying variables, by any means, will be always be visible.

Backwards Compatibility

Python

The current implementation has many corner cases and oddities. Code that works around those may need to be changed. Code that uses locals() for simple templating, or print debugging, will continue to work correctly. Debuggers and other tools that use f_locals to modify local variables, will now work correctly, even in the presence of threaded code, coroutines and generators.

C-API

PyEval_GetLocals

Because PyEval_GetLocals() returns a borrowed reference, it requires the dictionary to be cached on the frame, extending its lifetime and creating a cycle. PyEval_GetFrameLocals() should be used instead.

This code:

locals = PyEval_GetLocals();
if (locals == NULL) {
    goto error_handler;
}
Py_INCREF(locals);

should be replaced with:

locals = PyEval_GetFrameLocals();
if (locals == NULL) {
    goto error_handler;
}

PyFrame_FastToLocals, etc.

These functions were designed to convert the internal “fast” representation of the locals variables of a function to a dictionary, and vice versa.

Calls to them are no longer required. C code that directly accesses the f_locals field of a frame should be modified to call PyFrame_GetLocals() instead:

PyFrame_FastToLocals(frame);
PyObject *locals = frame.f_locals;
Py_INCREF(locals);

becomes:

PyObject *locals = PyFrame_GetLocals(frame);
if (frame == NULL)
    goto error_handler;

Implementation

Each read of frame.f_locals will create a new proxy object that gives the appearance of being the mapping of local (including cell and free) variable names to the values of those local variables.

A possible implementation is sketched out below. All attributes that start with an underscore are invisible and cannot be accessed directly. They serve only to illustrate the proposed design.

NULL: Object # NULL is a singleton representing the absence of a value.

class CodeType:

    _name_to_offset_mapping_impl: dict | NULL
    _cells: frozenset # Set of indexes of cell and free variables
    ...

    def __init__(self, ...):
        self._name_to_offset_mapping_impl = NULL
        self._variable_names = deduplicate(
            self.co_varnames + self.co_cellvars + self.co_freevars
        )
        ...

    @property
    def _name_to_offset_mapping(self):
        "Mapping of names to offsets in local variable array."
        if self._name_to_offset_mapping_impl is NULL:
            self._name_to_offset_mapping_impl = {
                name: index for (index, name) in enumerate(self._variable_names)
            }
        return self._name_to_offset_mapping_impl

class FrameType:

    _locals : array[Object] # The values of the local variables, items may be NULL.
    _extra_locals: dict | NULL # Dictionary for storing extra locals not in _locals.
    _locals_cache: FrameLocalsProxy | NULL # required to support PyEval_GetLocals()

    def __init__(self, ...):
        self._extra_locals = NULL
        self._locals_cache = NULL
        ...

    @property
    def f_locals(self):
        return FrameLocalsProxy(self)

class FrameLocalsProxy:
    "Implements collections.MutableMapping."

    __slots__ "_frame"

    def __init__(self, frame:FrameType):
        self._frame = frame

    def __getitem__(self, name):
        f = self._frame
        co = f.f_code
        if name in co._name_to_offset_mapping:
            index = co._name_to_offset_mapping[name]
            val = f._locals[index]
            if val is NULL:
                raise KeyError(name)
            if index in co._cells
                val = val.cell_contents
                if val is NULL:
                    raise KeyError(name)
            return val
        else:
            if f._extra_locals is NULL:
                raise KeyError(name)
            return f._extra_locals[name]

    def __setitem__(self, name, value):
        f = self._frame
        co = f.f_code
        if name in co._name_to_offset_mapping:
            index = co._name_to_offset_mapping[name]
            kind = co._local_kinds[index]
            if index in co._cells
                cell = f._locals[index]
                cell.cell_contents = val
            else:
                f._locals[index] = val
        else:
            if f._extra_locals is NULL:
                f._extra_locals = {}
            f._extra_locals[name] = val

    def __iter__(self):
        f = self._frame
        co = f.f_code
        yield from iter(f._extra_locals)
        for index, name in enumerate(co._variable_names):
            val = f._locals[index]
            if val is NULL:
                continue
            if index in co._cells:
                val = val.cell_contents
                if val is NULL:
                    continue
            yield name

    def __contains__(self, item):
        f = self._frame
        if item in f._extra_locals:
            return True
        return item in co._variable_names

    def __len__(self):
        f = self._frame
        co = f.f_code
        res = 0
        for index, _ in enumerate(co._variable_names):
            val = f._locals[index]
            if val is NULL:
                continue
            if index in co._cells:
                if val.cell_contents is NULL:
                    continue
            res += 1
        return len(self._extra_locals) + res

C API

PyEval_GetLocals() will be implemented roughly as follows:

PyObject *PyEval_GetLocals(void) {
    PyFrameObject * = ...; // Get the current frame.
    if (frame->_locals_cache == NULL) {
        frame->_locals_cache = PyEval_GetFrameLocals();
    }
    return frame->_locals_cache;
}

As with all functions that return a borrowed reference, care must be taken to ensure that the reference is not used beyond the lifetime of the object.

Impact on PEP 709 inlined comprehensions

For inlined comprehensions within a function, locals() currently behaves the same inside or outside of the comprehension, and this will not change. The behavior of locals() inside functions will generally change as specified in the rest of this PEP.

For inlined comprehensions at module or class scope, currently calling locals() within the inlined comprehension returns a new dictionary for each call. This PEP will make locals() within a function also always return a new dictionary for each call, improving consistency; class or module scope inlined comprehensions will appear to behave as if the inlined comprehension is still a distinct function.

Comparison with PEP 558

This PEP and PEP 558 share a common goal: to make the semantics of locals() and frame.f_locals() intelligible, and their operation reliable.

The key difference between this PEP and PEP 558 is that PEP 558 keeps an internal copy of the local variables, whereas this PEP does not.

PEP 558 does not specify exactly when the internal copy is updated, making the behavior of PEP 558 impossible to reason about.

Implementation

The implementation is in development as a draft pull request on GitHub.


Source: https://github.com/python/peps/blob/main/peps/pep-0667.rst

Last modified: 2024-03-20 16:42:17 GMT