448 lines
17 KiB
Plaintext
448 lines
17 KiB
Plaintext
PEP: 520
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Title: Preserving Class Attribute Definition Order
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Version: $Revision$
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Last-Modified: $Date$
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Author: Eric Snow <ericsnowcurrently@gmail.com>
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Status: Final
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Type: Standards Track
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Content-Type: text/x-rst
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Created: 7-Jun-2016
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Python-Version: 3.6
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Post-History: 7-Jun-2016, 11-Jun-2016, 20-Jun-2016, 24-Jun-2016
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Resolution: https://mail.python.org/pipermail/python-dev/2016-June/145442.html
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.. note::
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Since compact dict has landed in 3.6, __definition_order__
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has been removed. ``cls.__dict__`` now mostly accomplishes the same
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thing instead.
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Abstract
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========
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The class definition syntax is ordered by its very nature. Class
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attributes defined there are thus ordered. Aside from helping with
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readability, that ordering is sometimes significant. If it were
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automatically available outside the class definition then the
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attribute order could be used without the need for extra boilerplate
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(such as metaclasses or manually enumerating the attribute order).
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Given that this information already exists, access to the definition
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order of attributes is a reasonable expectation. However, currently
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Python does not preserve the attribute order from the class
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definition.
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This PEP changes that by preserving the order in which attributes
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are introduced in the class definition body. That order will now be
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preserved in the ``__definition_order__`` attribute of the class.
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This allows introspection of the original definition order, e.g. by
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class decorators.
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Additionally, this PEP requires that the default class definition
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namespace be ordered (e.g. ``OrderedDict``) by default. The long-
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lived class namespace (``__dict__``) will remain a ``dict``.
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Motivation
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==========
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The attribute order from a class definition may be useful to tools
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that rely on name order. However, without the automatic availability
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of the definition order, those tools must impose extra requirements on
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users. For example, use of such a tool may require that your class use
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a particular metaclass. Such requirements are often enough to
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discourage use of the tool.
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Some tools that could make use of this PEP include:
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* documentation generators
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* testing frameworks
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* CLI frameworks
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* web frameworks
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* config generators
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* data serializers
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* enum factories (my original motivation)
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Background
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==========
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When a class is defined using a ``class`` statement, the class body
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is executed within a namespace. Currently that namespace defaults to
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``dict``. If the metaclass defines ``__prepare__()`` then the result
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of calling it is used for the class definition namespace.
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After the execution completes, the definition namespace is
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copied into a new ``dict``. Then the original definition namespace is
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discarded. The new copy is stored away as the class's namespace and
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is exposed as ``__dict__`` through a read-only proxy.
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The class attribute definition order is represented by the insertion
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order of names in the *definition* namespace. Thus, we can have
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access to the definition order by switching the definition namespace
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to an ordered mapping, such as ``collections.OrderedDict``. This is
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feasible using a metaclass and ``__prepare__``, as described above.
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In fact, exactly this is by far the most common use case for using
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``__prepare__``.
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At that point, the only missing thing for later access to the
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definition order is storing it on the class before the definition
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namespace is thrown away. Again, this may be done using a metaclass.
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However, this means that the definition order is preserved only for
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classes that use such a metaclass. There are two practical problems
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with that:
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First, it requires the use of a metaclass. Metaclasses introduce an
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extra level of complexity to code and in some cases (e.g. conflicts)
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are a problem. So reducing the need for them is worth doing when the
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opportunity presents itself. PEP 422 and PEP 487 discuss this at
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length. We have such an opportunity by using an ordered mapping (e.g.
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``OrderedDict`` for CPython at least) for the default class definition
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namespace, virtually eliminating the need for ``__prepare__()``.
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Second, only classes that opt in to using the ``OrderedDict``-based
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metaclass will have access to the definition order. This is problematic
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for cases where universal access to the definition order is important.
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Specification
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=============
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Part 1:
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* all classes have a ``__definition_order__`` attribute
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* ``__definition_order__`` is a ``tuple`` of identifiers (or ``None``)
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* ``__definition_order__`` is always set:
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1. during execution of the class body, the insertion order of names
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into the class *definition* namespace is stored in a tuple
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2. if ``__definition_order__`` is defined in the class body then it
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must be a ``tuple`` of identifiers or ``None``; any other value
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will result in ``TypeError``
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3. classes that do not have a class definition (e.g. builtins) have
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their ``__definition_order__`` set to ``None``
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4. classes for which ``__prepare__()`` returned something other than
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``OrderedDict`` (or a subclass) have their ``__definition_order__``
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set to ``None`` (except where #2 applies)
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Not changing:
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* ``dir()`` will not depend on ``__definition_order__``
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* descriptors and custom ``__getattribute__`` methods are unconstrained
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regarding ``__definition_order__``
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Part 2:
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* the default class *definition* namespace is now an ordered mapping
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(e.g. ``OrderdDict``)
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* ``cls.__dict__`` does not change, remaining a read-only proxy around
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``dict``
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Note that Python implementations which have an ordered ``dict`` won't
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need to change anything.
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The following code demonstrates roughly equivalent semantics for both
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parts 1 and 2::
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class Meta(type):
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@classmethod
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def __prepare__(cls, *args, **kwargs):
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return OrderedDict()
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class Spam(metaclass=Meta):
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ham = None
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eggs = 5
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__definition_order__ = tuple(locals())
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Why a tuple?
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------------
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Use of a tuple reflects the fact that we are exposing the order in
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which attributes on the class were *defined*. Since the definition
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is already complete by the time ``__definition_order__`` is set, the
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content and order of the value won't be changing. Thus we use a type
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that communicates that state of immutability.
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Why not a read-only attribute?
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------------------------------
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There are some valid arguments for making ``__definition_order__``
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a read-only attribute (like ``cls.__dict__`` is). Most notably, a
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read-only attribute conveys the nature of the attribute as "complete",
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which is exactly correct for ``__definition_order__``. Since it
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represents the state of a particular one-time event (execution of
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the class definition body), allowing the value to be replaced would
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reduce confidence that the attribute corresponds to the original class
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body. Furthermore, often an immutable-by-default approach helps to
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make data easier to reason about.
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However, in this case there still isn't a *strong* reason to counter
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the well-worn precedent found in Python. Per Guido::
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I don't see why it needs to be a read-only attribute. There are
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very few of those -- in general we let users play around with
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things unless we have a hard reason to restrict assignment (e.g.
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the interpreter's internal state could be compromised). I don't
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see such a hard reason here.
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Also, note that a writeable ``__definition_order__`` allows dynamically
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created classes (e.g. by Cython) to still have ``__definition_order__``
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properly set. That could certainly be handled through specific class-
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creation tools, such as ``type()`` or the C-API, without the need to
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lose the semantics of a read-only attribute. However, with a writeable
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attribute it's a moot point.
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Why not "__attribute_order__"?
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------------------------------
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``__definition_order__`` is centered on the class definition
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body. The use cases for dealing with the class namespace (``__dict__``)
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post-definition are a separate matter. ``__definition_order__`` would
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be a significantly misleading name for a feature focused on more than
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class definition.
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Why not ignore "dunder" names?
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------------------------------
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Names starting and ending with "__" are reserved for use by the
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interpreter. In practice they should not be relevant to the users of
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``__definition_order__``. Instead, for nearly everyone they would only
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be clutter, causing the same extra work (filtering out the dunder
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names) for the majority. In cases where a dunder name is significant,
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the class definition *could* manually set ``__definition_order__``,
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making the common case simpler.
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However, leaving dunder names out of ``__definition_order__`` means
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that their place in the definition order would be unrecoverably lost.
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Dropping dunder names by default may inadvertently cause problems for
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classes that use dunder names unconventionally. In this case it's
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better to play it safe and preserve *all* the names from the class
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definition. This isn't a big problem since it is easy to filter out
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dunder names::
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(name for name in cls.__definition_order__
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if not (name.startswith('__') and name.endswith('__')))
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In fact, in some application contexts there may be other criteria on
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which similar filtering would be applied, such as ignoring any name
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starting with "_", leaving out all methods, or including only
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descriptors. Ultimately dunder names aren't a special enough case to
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be treated exceptionally.
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Note that a couple of dunder names (``__name__`` and ``__qualname__``)
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are injected by default by the compiler. So they will be included even
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though they are not strictly part of the class definition body.
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Why None instead of an empty tuple?
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-----------------------------------
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A key objective of adding ``__definition_order__`` is to preserve
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information in class definitions which was lost prior to this PEP.
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One consequence is that ``__definition_order__`` implies an original
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class definition. Using ``None`` allows us to clearly distinguish
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classes that do not have a definition order. An empty tuple clearly
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indicates a class that came from a definition statement but did not
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define any attributes there.
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Why None instead of not setting the attribute?
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----------------------------------------------
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The absence of an attribute requires more complex handling than ``None``
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does for consumers of ``__definition_order__``.
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Why constrain manually set values?
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----------------------------------
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If ``__definition_order__`` is manually set in the class body then it
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will be used. We require it to be a tuple of identifiers (or ``None``)
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so that consumers of ``__definition_order__`` may have a consistent
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expectation for the value. That helps maximize the feature's
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usefulness.
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We could also allow an arbitrary iterable for a manually set
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``__definition_order__`` and convert it into a tuple. However, not
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all iterables infer a definition order (e.g. ``set``). So we opt in
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favor of requiring a tuple.
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Why not hide __definition_order__ on non-type objects?
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------------------------------------------------------
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Python doesn't make much effort to hide class-specific attributes
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during lookup on instances of classes. While it may make sense
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to consider ``__definition_order__`` a class-only attribute, hidden
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during lookup on objects, setting precedent in that regard is
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beyond the goals of this PEP.
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What about __slots__?
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---------------------
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``__slots__`` will be added to ``__definition_order__`` like any
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other name in the class definition body. The actual slot names
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will not be added to ``__definition_order__`` since they aren't
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set as names in the definition namespace.
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Why is __definition_order__ even necessary?
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-------------------------------------------
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Since the definition order is not preserved in ``__dict__``, it is
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lost once class definition execution completes. Classes *could*
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explicitly set the attribute as the last thing in the body. However,
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then independent decorators could only make use of classes that had done
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so. Instead, ``__definition_order__`` preserves this one bit of info
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from the class body so that it is universally available.
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Support for C-API Types
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=======================
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Arguably, most C-defined Python types (e.g. built-in, extension modules)
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have a roughly equivalent concept of a definition order. So conceivably
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``__definition_order__`` could be set for such types automatically. This
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PEP does not introduce any such support. However, it does not prohibit
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it either. However, since ``__definition_order__`` can be set at any
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time through normal attribute assignment, it does not need any special
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treatment in the C-API.
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The specific cases:
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* builtin types
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* PyType_Ready
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* PyType_FromSpec
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Compatibility
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=============
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This PEP does not break backward compatibility, except in the case that
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someone relies *strictly* on ``dict`` as the class definition namespace.
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This shouldn't be a problem since ``issubclass(OrderedDict, dict)`` is
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true.
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Changes
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=============
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In addition to the class syntax, the following expose the new behavior:
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* builtins.__build_class__
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* types.prepare_class
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* types.new_class
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Also, the 3-argument form of ``builtins.type()`` will allow inclusion
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of ``__definition_order__`` in the namespace that gets passed in. It
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will be subject to the same constraints as when ``__definition_order__``
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is explicitly defined in the class body.
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Other Python Implementations
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============================
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Pending feedback, the impact on Python implementations is expected to
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be minimal. All conforming implementations are expected to set
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``__definition_order__`` as described in this PEP.
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Implementation
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==============
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The implementation is found in the tracker. [impl_]
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Alternatives
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============
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An Order-preserving cls.__dict__
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--------------------------------
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Instead of storing the definition order in ``__definition_order__``,
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the now-ordered definition namespace could be copied into a new
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``OrderedDict``. This would then be used as the mapping proxied as
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``__dict__``. Doing so would mostly provide the same semantics.
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However, using ``OrderedDict`` for ``__dict__`` would obscure the
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relationship with the definition namespace, making it less useful.
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Additionally, (in the case of ``OrderedDict`` specifically) doing
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this would require significant changes to the semantics of the
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concrete ``dict`` C-API.
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There has been some discussion about moving to a compact dict
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implementation which would (mostly) preserve insertion order. However
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the lack of an explicit ``__definition_order__`` would still remain
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as a pain point.
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A "namespace" Keyword Arg for Class Definition
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----------------------------------------------
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PEP 422 introduced a new "namespace" keyword arg to class definitions
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that effectively replaces the need to ``__prepare__()``. [pep422_]
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However, the proposal was withdrawn in favor of the simpler PEP 487.
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A stdlib Metaclass that Implements __prepare__() with OrderedDict
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-----------------------------------------------------------------
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This has all the same problems as writing your own metaclass. The
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only advantage is that you don't have to actually write this
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metaclass. So it doesn't offer any benefit in the context of this
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PEP.
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Set __definition_order__ at Compile-time
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----------------------------------------
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Each class's ``__qualname__`` is determined at compile-time.
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This same concept could be applied to ``__definition_order__``.
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The result of composing ``__definition_order__`` at compile-time
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would be nearly the same as doing so at run-time.
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Comparative implementation difficulty aside, the key difference
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would be that at compile-time it would not be practical to
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preserve definition order for attributes that are set dynamically
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in the class body (e.g. ``locals()[name] = value``). However,
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they should still be reflected in the definition order. One
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possible resolution would be to require class authors to manually
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set ``__definition_order__`` if they define any class attributes
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dynamically.
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Ultimately, the use of ``OrderedDict`` at run-time or compile-time
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discovery is almost entirely an implementation detail.
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References
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==========
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.. [impl] issue #24254
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(https://bugs.python.org/issue24254)
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.. [nick_concern] Nick's concerns about mutability
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(https://mail.python.org/pipermail/python-dev/2016-June/144883.html)
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.. [pep422] PEP 422
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(https://www.python.org/dev/peps/pep-0422/#order-preserving-classes)
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.. [pep487] PEP 487
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(https://www.python.org/dev/peps/pep-0487/#defining-arbitrary-namespaces)
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.. [orig] original discussion
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(https://mail.python.org/pipermail/python-ideas/2013-February/019690.html)
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.. [followup1] follow-up 1
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(https://mail.python.org/pipermail/python-dev/2013-June/127103.html)
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.. [followup2] follow-up 2
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(https://mail.python.org/pipermail/python-dev/2015-May/140137.html)
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Copyright
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===========
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This document has been placed in the public domain.
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..
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Local Variables:
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mode: indented-text
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indent-tabs-mode: nil
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sentence-end-double-space: t
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fill-column: 70
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coding: utf-8
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End:
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