python-peps/pep-0558.rst

PEP: 558
Title: Defined semantics for locals()
Author: Nick Coghlan <ncoghlan@gmail.com>
BDFL-Delegate: Nathaniel J. Smith
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Created: 2017-09-08
Python-Version: 3.8
Post-History: 2017-09-08


Abstract
========

The semantics of the ``locals()`` builtin have historically been underspecified
and hence implementation dependent.

This PEP proposes formally standardising on the behaviour of the CPython 3.6
reference implementation for most execution scopes, with some adjustments to the
behaviour at function scope to make it more predictable and independent of the
presence or absence of tracing functions.


Rationale
=========

While the precise semantics of the ``locals()`` builtin are nominally undefined,
in practice, many Python programs depend on it behaving exactly as it behaves in
CPython (at least when no tracing functions are installed).

Other implementations such as PyPy are currently replicating that behaviour,
up to and including replication of local variable mutation bugs that
can arise when a trace hook is installed [1]_.

While this PEP considers CPython's current behaviour when no trace hooks are
installed to be acceptable (and largely desirable), it considers the current
behaviour when trace hooks are installed to be problematic, as it causes bugs
like [1]_ *without* even reliably enabling the desired functionality of allowing
debuggers like ``pdb`` to mutate local variables [3]_.


Proposal
========

The expected semantics of the ``locals()`` builtin change based on the current
execution scope. For this purpose, the defined scopes of execution are:

* module scope: top-level module code, as well as any other code executed using
  ``exec()`` or ``eval()`` with a single namespace
* class scope: code in the body of a ``class`` statement, as well as any other
  code executed using ``exec()`` or ``eval()`` with separate local and global
  namespaces
* function scope: code in the body of a ``def`` or ``async def`` statement

We also allow interpreters to define two "modes" of execution, with only the
first mode being considered part of the language specification itself:

* regular operation: the way the interpreter behaves by default
* tracing mode: the way the interpreter behaves when a trace hook has been
  registered in one or more threads via an implementation dependent mechanism
  like ``sys.settrace`` ([4]_) in CPython's ``sys`` module or
  ``PyEval_SetTrace`` ([5]_) in CPython's C API

For regular operation, this PEP proposes elevating the current behaviour of
the CPython reference implementation to become part of the language
specification.

For tracing mode, this PEP proposes changes to CPython's behaviour at function
scope that bring the ``locals()`` builtin semantics closer to those used in
regular operation, while also making the related frame API semantics clearer
and easier for interactive debuggers to rely on.

The proposed tracing mode changes also affect the semantics of frame object
references obtained through other means, such as via a traceback, or via the
``sys._getframe()`` API.


New ``locals()`` documentation
------------------------------

The heart of this proposal is to revise the documentation for the ``locals()``
builtin to read as follows:

    Return a dictionary representing the current local symbol table, with
    variable names as the keys, and their currently bound references as the
    values. This will always be the same dictionary for a given runtime
    execution frame.

    At module scope, as well as when using ``exec()`` or ``eval()`` with a
    single namespace, this function returns the same namespace as ``globals()``.

    At class scope, it returns the namespace that will be passed to the
    metaclass constructor.

    When using ``exec()`` or ``eval()`` with separate local and global
    namespaces, it returns the local namespace passed in to the function call.

    At function scope (including for generators and coroutines), it returns a
    dynamic snapshot of the function's local variables and any nonlocal cell
    references. In this case, changes made via the snapshot are *not* written
    back to the corresponding local variables or nonlocal cell references, and
    any such changes to the snapshot will be overwritten if the snapshot is
    subsequently refreshed (e.g. by another call to ``locals()``).

    CPython implementation detail: the dynamic snapshot for the current frame
    will be implicitly refreshed before each call to the trace function when a
    trace function is active.

For reference, the current documentation of this builtin reads as follows:

    Update and return a dictionary representing the current local symbol table.
    Free variables are returned by locals() when it is called in function
    blocks, but not in class blocks.

    Note: The contents of this dictionary should not be modified; changes may
    not affect the values of local and free variables used by the interpreter.

(In other words: the status quo is that the semantics and behaviour of
``locals()`` are currently formally implementation defined, whereas the proposed
state after this PEP is that the only implementation defined behaviour will be
that encountered at function scope when a tracing function is defined, with the
behaviour in all other cases being defined by the language and library
references)


Module scope
------------

At module scope, as well as when using ``exec()`` or ``eval()`` with a
single namespace, ``locals()`` must return the same object as ``globals()``,
which must be the actual execution namespace (available as
``inspect.currentframe().f_locals`` in implementations that provide access
to frame objects).

Variable assignments during subsequent code execution in the same scope must
dynamically change the contents of the returned mapping, and changes to the
returned mapping must change the values bound to local variable names in the
execution environment.

The semantics at module scope are required to be the same in both tracing
mode (if provided by the implementation) and in regular operation.

To capture this expectation as part of the language specification, the following
paragraph will be added to the documentation for ``locals()``:

   At module scope, as well as when using ``exec()`` or ``eval()`` with a
   single namespace, this function returns the same namespace as ``globals()``.

This part of the proposal does not require any changes to the reference
implementation - it is standardisation of the current behaviour.


Class scope
-----------

At class scope, as well as when using ``exec()`` or ``eval()`` with separate
global and local namespaces, ``locals()`` must return the specified local
namespace (which may be supplied by the metaclass ``__prepare__`` method
in the case of classes). As for module scope, this must be a direct reference
to the actual execution namespace (available as
``inspect.currentframe().f_locals`` in implementations that provide access
to frame objects).

Variable assignments during subsequent code execution in the same scope must
change the contents of the returned mapping, and changes to the returned mapping
must change the values bound to local variable names in the
execution environment.

The mapping returned by ``locals()`` will *not* be used as the actual class
namespace underlying the defined class (the class creation process will copy
the contents to a fresh dictionary that is only accessible by going through the
class machinery).

For nested classes defined inside a function, any nonlocal cells referenced from
the class scope are *not* included in the ``locals()`` mapping.

The semantics at class scope are required to be the same in both tracing
mode (if provided by the implementation) and in regular operation.

To capture this expectation as part of the language specification, the following
two paragraphs will be added to the documentation for ``locals()``:

   When using ``exec()`` or ``eval()`` with separate local and global
   namespaces, [this function] returns the given local namespace.

   At class scope, it returns the namespace that will be passed to the metaclass
   constructor.

This part of the proposal does not require any changes to the reference
implementation - it is standardisation of the current behaviour.


Function scope
--------------

At function scope, interpreter implementations are granted significant freedom
to optimise local variable access, and hence are NOT required to permit
arbitrary modification of local and nonlocal variable bindings through the
mapping returned from ``locals()``.

Historically, this leniency has been described in the language specification
with the words "The contents of this dictionary should not be modified; changes
may not affect the values of local and free variables used by the interpreter."

This PEP proposes to change that text to instead say:

    At function scope (including for generators and coroutines), [this function]
    returns a
    dynamic snapshot of the function's local variables and any nonlocal cell
    references. In this case, changes made via the snapshot are *not* written
    back to the corresponding local variables or nonlocal cell references, and
    any such changes to the snapshot will be overwritten if the snapshot is
    subsequently refreshed (e.g. by another call to ``locals()``).

    CPython implementation detail: the dynamic snapshot for the currently
    executing frame will be implicitly refreshed before each call to the trace
    function when a trace function is active.

This part of the proposal *does* require changes to the CPython reference
implementation, as while it accurately describes the behaviour in regular
operation, the "write back" strategy currently used to support namespace changes
from trace functions doesn't comply with it (and also causes the quirky
behavioural problems mentioned in the Rationale).


CPython Implementation Changes
==============================

The current cause of CPython's tracing mode quirks (both the side effects from
simply installing a tracing function and the fact that writing values back to
function locals only works for the specific function being traced) is the way
that locals mutation support for trace hooks is currently implemented: the
``PyFrame_LocalsToFast`` function.

When a trace function is installed, CPython currently does the following for
function frames (those where the code object uses "fast locals" semantics):

1. Calls ``PyFrame_FastToLocals`` to update the dynamic snapshot
2. Calls the trace hook (with tracing of the hook itself disabled)
3. Calls ``PyFrame_LocalsToFast`` to capture any changes made to the dynamic
   snapshot

This approach is problematic for a few different reasons:

* Even if the trace function doesn't mutate the snapshot, the final step resets
  any cell references back to the state they were in before the trace function
  was called (this is the root cause of the bug report in [1]_)
* If the trace function *does* mutate the snapshot, but then does something
  that causes the snapshot to be refreshed, those changes are lost (this is
  one aspect of the bug report in [3]_)
* If the trace function attempts to mutate the local variables of a frame other
  than the one being traced (e.g. ``frame.f_back.f_locals``), those changes
  will almost certainly be lost (this is another aspect of the bug report in
  [3]_)
* If a ``locals()`` reference is passed to another function, and *that*
  function mutates the snapshot namespace, then those changes *may* be written
  back to the execution frame *if* a trace hook is installed

The proposed resolution to this problem is to take advantage of the fact that
whereas functions typically access their *own* namespace using the language
defined ``locals()`` builtin, trace functions necessarily use the implementation
dependent ``frame.f_locals`` interface, as a frame reference is what gets
passed to hook implementations.

Instead of being a direct reference to the dynamic snapshot returned by
``locals()``, ``frame.f_locals`` will be updated to instead return a dedicated
proxy type (implemented as a private subclass of the existing
``types.MappingProxyType``) that has two internal attributes not exposed as
part of either the Python or public C API:

* *mapping*: the dynamic snapshot that is returned by the ``locals()`` builtin
* *frame*: the underlying frame that the snapshot is for

``__setitem__`` and ``__delitem__`` operations on the proxy will affect not only
the dynamic snapshot, but *also* the corresponding fast local or cell reference
on the underlying frame.

The ``locals()`` builtin will be made aware of this proxy type, and continue to
return a reference to the dynamic snapshot rather than to the write-through
proxy.

At the C API layer, ``PyEval_GetLocals()`` will implement the same semantics
as the Python level ``locals()`` builtin, and a new ``PyFrame_GetLocals(frame)``
accessor API will be provided to allow the proxy bypass logic to be encapsulated
entirely inside the frame implementation. The C level equivalent of accessing
``pyframe.f_locals`` in Python will be to access ``cframe->f_locals`` directly
(the one difference is that accessing ``pyframe.f_locals`` will continue to
implicitly refresh the dynamic snapshot, whereas C code will need to explicitly
call ``PyFrame_GetLocals(frame)`` to refresh the snapshot).

The ``PyFrame_LocalsToFast()`` function will be changed to always emit
``RuntimeError``, explaining that it is no longer a supported operation, and
affected code should be updated to rely on the write-through tracing mode
proxy instead.


Design Discussion
=================

Ensuring ``locals()`` returns a shared snapshot at function scope
-----------------------------------------------------------------

The ``locals()`` builtin is a required part of the language, and in the
reference implementation it has historically returned a mutable mapping with
the following characteristics:

* each call to ``locals()`` returns the *same* mapping
* for namespaces where ``locals()`` returns a reference to something other than
  the actual local execution namespace, each call to ``locals()`` updates the
  mapping with the current state of the local variables and any referenced
  nonlocal cells
* changes to the returned mapping *usually* aren't written back to the
  local variable bindings or the nonlocal cell references, but write backs
  can be triggered by doing one of the following:

  * installing a Python level trace hook (write backs then happen whenever
    the trace hook is called)
  * running a function level wildcard import (requires bytecode injection in Py3)
  * running an ``exec`` statement in the function's scope (Py2 only, since
    ``exec`` became an ordinary builtin in Python 3)

The proposal in this PEP aims to retain the first two properties (to maintain
backwards compatibility with as much code as possible) while ensuring that
simply installing a trace hook can't enable rebinding of function locals via
the ``locals()`` builtin (whereas enabling rebinding via
``inspect.currentframe().f_locals`` is fully intended).


What happens with the default args for ``eval()`` and ``exec()``?
-----------------------------------------------------------------

These are formally defined as inheriting ``globals()`` and ``locals()`` from
the calling scope by default.

There doesn't seem to be any reason for the PEP to change this.


Changing the frame API semantics in regular operation
-----------------------------------------------------

Earlier versions of this PEP proposed having the semantics of the frame
``f_locals`` attribute depend on whether or not a tracing hook was currently
installed - only providing the write-through proxy behaviour when a tracing hook
was active, and otherwise behaving the same as the ``locals()`` builtin.

That was adopted as the original design proposal for a couple of key reasons,
one pragmatic and one more philosophical:

* Object allocations and method wrappers aren't free, and tracing functions
  aren't the only operations that access frame locals from outside the function.
  Restricting the changes to tracing mode meant that the additional memory and
  execution time overhead of these changes would as close to zero in regular
  operation as we can possibly make them.
* "Don't change what isn't broken": the current tracing mode problems are caused
  by a requirement that's specific to tracing mode (support for external
  rebinding of function local variable references), so it made sense to also
  restrict any related fixes to tracing mode

However, actually attempting to implement and document that dynamic approach
highlighted the fact that it makes for a really subtle runtime state dependent
behaviour distinction in how ``frame.f_locals`` works, and creates several
new edge cases around how ``f_locals`` behaves as trace functions are added
and removed.

Accordingly, the design was switched to the current one, where
``frame.f_locals`` is always a write-through proxy, and ``locals()`` is always
a dynamic snapshot, which is both simpler to implement and easier to explain.

Regardless of how the CPython reference implementation chooses to handle this,
optimising compilers and interpreters also remain free to impose additional
restrictions on debuggers, by making local variable mutation through frame
objects an opt-in behaviour that may disable some optimisations (just as the
emulation of CPython's frame API is already an opt-in flag in some Python
implementations).


Historical semantics at function scope
--------------------------------------

The current semantics of mutating ``locals()`` and ``frame.f_locals`` in CPython
are rather quirky due to historical implementation details:

* actual execution uses the fast locals array for local variable bindings and
  cell references for nonlocal variables
* there's a ``PyFrame_FastToLocals`` operation that populates the frame's
  ``f_locals`` attribute based on the current state of the fast locals array
  and any referenced cells. This exists for three reasons:

  * allowing trace functions to read the state of local variables
  * allowing traceback processors to read the state of local variables
  * allowing ``locals()`` to read the state of local variables
* a direct reference to ``frame.f_locals`` is returned from ``locals()``, so if
  you hand out multiple concurrent references, then all those references will be
  to the exact same dictionary
* the two common calls to the reverse operation, ``PyFrame_LocalsToFast``, were
  removed in the migration to Python 3: ``exec`` is no longer a statement (and
  hence can no longer affect function local namespaces), and the compiler now
  disallows the use of ``from module import *`` operations at function scope
* however, two obscure calling paths remain: ``PyFrame_LocalsToFast`` is called
  as part of returning from a trace function (which allows debuggers to make
  changes to the local variable state), and you can also still inject the
  ``IMPORT_STAR`` opcode when creating a function directly from a code object
  rather than via the compiler

This proposal deliberately *doesn't* formalise these semantics as is, since they
only make sense in terms of the historical evolution of the language and the
reference implementation, rather than being deliberately designed.


Implementation
==============

The reference implementation update is in development as a draft pull
request on GitHub ([6]_).


Acknowledgements
================

Thanks to Nathaniel J. Smith for proposing the write-through proxy idea in
[1]_ and pointing out some critical design flaws in earlier iterations of the
PEP that attempted to avoid introducing such a proxy.


References
==========

.. [1] Broken local variable assignment given threads + trace hook + closure
   (https://bugs.python.org/issue30744)

.. [2] Clarify the required behaviour of ``locals()``
   (https://bugs.python.org/issue17960)

.. [3] Updating function local variables from pdb is unreliable
   (https://bugs.python.org/issue9633)

.. [4] CPython's Python API for installing trace hooks
   (https://docs.python.org/dev/library/sys.html#sys.settrace)

.. [5] CPython's C API for installing trace hooks
   (https://docs.python.org/3/c-api/init.html#c.PyEval_SetTrace)

.. [6] PEP 558 reference implementation
   (https://github.com/python/cpython/pull/3640/files)


Copyright
=========

This document has been placed in the public domain.



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