[Python-Dev] PEP 520: Preserving Class Attribute Definition Order (round 4) (original) (raw)
Eric Snow ericsnowcurrently at gmail.com
Mon Jun 20 22:17:04 EDT 2016
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I've updated PEP 520 to reflect a clearer focus on the definition order and less emphasis on OrderedDict.
-eric
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PEP: 520 Title: Preserving Class Attribute Definition Order Version: RevisionRevisionRevision Last-Modified: DateDateDate Author: Eric Snow <ericsnowcurrently at gmail.com> Status: Draft Type: Standards Track Content-Type: text/x-rst Created: 7-Jun-2016 Python-Version: 3.6 Post-History: 7-Jun-2016, 11-Jun-2016, 20-Jun-2016
Abstract
When a class is defined using a class statement, the class body is
executed within a namespace. After the execution completes, that
namespace is copied into new dict and the original definition
namespace is discarded. The new copy is stored away as the class's
namespace and is exposed as __dict__ through a read-only proxy.
This PEP preserves the order in which the attributes in the definition
namespace were added to it, before that namespace is discarded. This
means it reflects the definition order of the class body. That order
will now be preserved in the __definition_order__ attribute of the
class. This allows introspection of the original definition order,
e.g. by class decorators.
Additionally, this PEP changes the default class definition namespace
to OrderedDict. The long-lived class namespace (__dict__) will
remain a dict.
Motivation
Currently Python does not preserve the order in which attributes are
added to the class definition namespace. The namespace used during
execution of a class body defaults to dict. If the metaclass
defines __prepare__() then the result of calling it is used. Thus,
before this PEP, to access your class definition namespace you must
use OrderedDict along with a metaclass. Then you must preserve the
definition order (from the OrderedDict) yourself. This has a
couple of problems.
First, it requires the use of a metaclass. Metaclasses introduce an
extra level of complexity to code and in some cases (e.g. conflicts)
are a problem. So reducing the need for them is worth doing when the
opportunity presents itself. PEP 422 and PEP 487 discuss this at
length. Given that we now have a C implementation of OrderedDict
and that OrderedDict is the common use case for __prepare__(),
we have such an opportunity by defaulting to OrderedDict.
Second, only classes that opt in to using the OrderedDict-based
metaclass will have access to the definition order. This is problematic
for cases where universal access to the definition order is important.
One of the original motivating use cases for this PEP is generic class
decorators that make use of the definition order.
Specification
Part 1:
the order in which class attributes are defined is preserved in the new
__definition_order__attribute on each class"dunder" attributes (e.g.
__init__,__module__) are ignored__definition_order__is atuple(orNone)__definition_order__is a read-only attribute__definition_order__is always set:- if
__definition_order__is defined in the class body then it must be atupleof identifiers orNone; any other value will result inTypeError - classes that do not have a class definition (e.g. builtins) have
their
__definition_order__set toNone - classes for which `__prepare__()
returned something other thanOrderedDict(or a subclass) have their__definition_order__set toNone`` (except where #1 applies)
- if
Part 2:
- the default class definition namespace is now
OrderdDict
The following code demonstrates roughly equivalent semantics for the default behavior::
class Meta(type): @classmethod def prepare(cls, *args, **kwargs): return OrderedDict()
class Spam(metaclass=Meta): ham = None eggs = 5 definition_order = tuple(k for k in locals() if not (k.startswith('') and k.endswith('')))
Note that [pep487_] proposes a similar solution, albeit as part of a broader proposal.
Why a tuple?
Use of a tuple reflects the fact that we are exposing the order in
which attributes on the class were defined. Since the definition
is already complete by the time __definition_order__ is set, the
content and order of the value won't be changing. Thus we use a type
that communicates that state of immutability.
Why a read-only attribute?
As with the use of tuple, making __definition_order__ a read-only
attribute communicates the fact that the information it represents is
complete. Since it represents the state of a particular one-time event
(execution of the class definition body), allowing the value to be
replaced would reduce confidence that the attribute corresponds to the
original class body.
If a use case for a writable (or mutable) __definition_order__
arises, the restriction may be loosened later. Presently this seems
unlikely and furthermore it is usually best to go immutable-by-default.
Note that __definition_order__ is centered on the class definition
body. The use cases for dealing with the class namespace (__dict__)
post-definition are a separate matter. __definition_order__ would
be a significantly misleading name for a feature focused on more than
class definition.
See [nick_concern_] for more discussion.
Why ignore "dunder" names?
Names starting and ending with "__" are reserved for use by the
interpreter. In practice they should not be relevant to the users of
__definition_order__. Instead, for nearly everyone they would only
be clutter, causing the same extra work for everyone.
Why None instead of an empty tuple?
A key objective of adding __definition_order__ is to preserve
information in class definitions which was lost prior to this PEP.
One consequence is that __definition_order__ implies an original
class definition. Using None allows us to clearly distinquish
classes that do not have a definition order. An empty tuple clearly
indicates a class that came from a definition statement but did not
define any attributes there.
Why None instead of not setting the attribute?
The absence of an attribute requires more complex handling than None
does for consumers of __definition_order__.
Why constrain manually set values?
If __definition_order__ is manually set in the class body then it
will be used. We require it to be a tuple of identifiers (or None)
so that consumers of __definition_order__ may have a consistent
expectation for the value. That helps maximize the feature's
usefulness.
We could also also allow an arbitrary iterable for a manually set
__definition_order__ and convert it into a tuple. However, not
all iterables infer a definition order (e.g. set). So we opt in
favor of requiring a tuple.
Why is definition_order even necessary?
Since the definition order is not preserved in __dict__, it is
lost once class definition execution completes. Classes could
explicitly set the attribute as the last thing in the body. However,
then independent decorators could only make use of classes that had done
so. Instead, __definition_order__ preserves this one bit of info
from the class body so that it is universally available.
Support for C-API Types
Arguably, most C-defined Python types (e.g. built-in, extension modules)
have a roughly equivalent concept of a definition order. So conceivably
__definition_order__ could be set for such types automatically. This
PEP does not introduce any such support. However, it does not prohibit
it either.
Compatibility
This PEP does not break backward compatibility, except in the case that
someone relies strictly on dict as the class definition namespace.
This shouldn't be a problem since issubclass(OrderedDict, dict) is
true.
Changes
In addition to the class syntax, the following expose the new behavior:
- builtins.build_class
- types.prepare_class
- types.new_class
Other Python Implementations
Pending feedback, the impact on Python implementations is expected to
be minimal. If a Python implementation cannot support switching to
`OrderedDict-by-default then it can always set __definition_order__toNone``.
Implementation
The implementation is found in the tracker. [impl_]
Alternatives
cls.dict as OrderedDict
Instead of storing the definition order in __definition_order__,
the now-ordered definition namespace could be copied into a new
OrderedDict. This would then be used as the mapping proxied as
__dict__. Doing so would mostly provide the same semantics.
However, using OrderedDict for __dict__ would obscure the
relationship with the definition namespace, making it less useful.
Additionally, doing this would require significant changes to the
semantics of the concrete dict C-API.
A "namespace" Keyword Arg for Class Definition
PEP 422 introduced a new "namespace" keyword arg to class definitions
that effectively replaces the need to __prepare__(). [pep422_]
However, the proposal was withdrawn in favor of the simpler PEP 487.
A stdlib Metaclass that Implements prepare() with OrderedDict
This has all the same problems as writing your own metaclass. The only advantage is that you don't have to actually write this metaclass. So it doesn't offer any benefit in the context of this PEP.
Set definition_order at Compile-time
Each class's __qualname__ is determined at compile-time.
This same concept could be applied to __definition_order__.
The result of composing __definition_order__ at compile-time
would be nearly the same as doing so at run-time.
Comparative implementation difficulty aside, the key difference
would be that at compile-time it would not be practical to
preserve definition order for attributes that are set dynamically
in the class body (e.g. locals()[name] = value). However,
they should still be reflected in the definition order. One
posible resolution would be to require class authors to manually
set __definition_order__ if they define any class attributes
dynamically.
Ultimately, the use of OrderedDict at run-time or compile-time
discovery is almost entirely an implementation detail.
References
.. [impl] issue #24254 (https://bugs.python.org/issue24254)
.. [nick_concern] Nick's concerns about mutability (https://mail.python.org/pipermail/python-dev/2016-June/144883.html)
.. [pep422] PEP 422 (https://www.python.org/dev/peps/pep-0422/#order-preserving-classes)
.. [pep487] PEP 487 (https://www.python.org/dev/peps/pep-0487/#defining-arbitrary-namespaces)
.. [orig] original discussion (https://mail.python.org/pipermail/python-ideas/2013-February/019690.html)
.. [followup1] follow-up 1 (https://mail.python.org/pipermail/python-dev/2013-June/127103.html)
.. [followup2] follow-up 2 (https://mail.python.org/pipermail/python-dev/2015-May/140137.html)
Copyright
This document has been placed in the public domain.
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