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:mod:`!types` --- Dynamic type creation and names for built-in types

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:mod:!types --- Dynamic type creation and names for built-in types

.. module:: types :synopsis: Names for built-in types.

Source code: :source:Lib/types.py


This module defines utility functions to assist in dynamic creation of new types.

It also defines names for some object types that are used by the standard Python interpreter, but not exposed as builtins like :class:int or :class:str are.

Finally, it provides some additional type-related utility classes and functions that are not fundamental enough to be builtins.

Dynamic Type Creation

.. function:: new_class(name, bases=(), kwds=None, exec_body=None)

Creates a class object dynamically using the appropriate metaclass.

The first three arguments are the components that make up a class definition header: the class name, the base classes (in order), the keyword arguments (such as metaclass).

The exec_body argument is a callback that is used to populate the freshly created class namespace. It should accept the class namespace as its sole argument and update the namespace directly with the class contents. If no callback is provided, it has the same effect as passing in lambda ns: None.

.. versionadded:: 3.3

.. function:: prepare_class(name, bases=(), kwds=None)

Calculates the appropriate metaclass and creates the class namespace.

The arguments are the components that make up a class definition header: the class name, the base classes (in order) and the keyword arguments (such as metaclass).

The return value is a 3-tuple: metaclass, namespace, kwds

metaclass is the appropriate metaclass, namespace is the prepared class namespace and kwds is an updated copy of the passed in kwds argument with any 'metaclass' entry removed. If no kwds argument is passed in, this will be an empty dict.

.. versionadded:: 3.3

.. versionchanged:: 3.6

  The default value for the ``namespace`` element of the returned
  tuple has changed.  Now an insertion-order-preserving mapping is
  used when the metaclass does not have a ``__prepare__`` method.

.. seealso::

:ref:metaclasses Full details of the class creation process supported by these functions

:pep:3115 - Metaclasses in Python 3000 Introduced the __prepare__ namespace hook

.. function:: resolve_bases(bases)

Resolve MRO entries dynamically as specified by :pep:560.

This function looks for items in bases that are not instances of :class:type, and returns a tuple where each such object that has an :meth:~object.__mro_entries__ method is replaced with an unpacked result of calling this method. If a bases item is an instance of :class:type, or it doesn't have an :meth:!__mro_entries__ method, then it is included in the return tuple unchanged.

.. versionadded:: 3.7

.. function:: get_original_bases(cls, /)

Return the tuple of objects originally given as the bases of *cls* before
the :meth:`~object.__mro_entries__` method has been called on any bases
(following the mechanisms laid out in :pep:`560`). This is useful for
introspecting :ref:`Generics <user-defined-generics>`.

For classes that have an ``__orig_bases__`` attribute, this
function returns the value of ``cls.__orig_bases__``.
For classes without the ``__orig_bases__`` attribute,
:attr:`cls.__bases__ <type.__bases__>` is returned.

Examples::

    from typing import TypeVar, Generic, NamedTuple, TypedDict

    T = TypeVar("T")
    class Foo(Generic[T]): ...
    class Bar(Foo[int], float): ...
    class Baz(list[str]): ...
    Eggs = NamedTuple("Eggs", [("a", int), ("b", str)])
    Spam = TypedDict("Spam", {"a": int, "b": str})

    assert Bar.__bases__ == (Foo, float)
    assert get_original_bases(Bar) == (Foo[int], float)

    assert Baz.__bases__ == (list,)
    assert get_original_bases(Baz) == (list[str],)

    assert Eggs.__bases__ == (tuple,)
    assert get_original_bases(Eggs) == (NamedTuple,)

    assert Spam.__bases__ == (dict,)
    assert get_original_bases(Spam) == (TypedDict,)

    assert int.__bases__ == (object,)
    assert get_original_bases(int) == (object,)

.. versionadded:: 3.12

.. seealso::

:pep:560 - Core support for typing module and generic types

Standard Interpreter Types

This module provides names for many of the types that are required to implement a Python interpreter. It deliberately avoids including some of the types that arise only incidentally during processing such as the listiterator type.

Typical use of these names is for :func:isinstance or :func:issubclass checks.

If you instantiate any of these types, note that signatures may vary between Python versions.

Standard names are defined for the following types:

.. data:: NoneType

The type of :data:None.

.. versionadded:: 3.10

.. data:: FunctionType LambdaType

The type of user-defined functions and functions created by :keyword:lambda expressions.

.. audit-event:: function.new code types.FunctionType

The audit event only occurs for direct instantiation of function objects, and is not raised for normal compilation.

.. data:: GeneratorType

The type of :term:generator-iterator objects, created by generator functions.

.. data:: CoroutineType

The type of :term:coroutine objects, created by :keyword:async def functions.

.. versionadded:: 3.5

.. data:: AsyncGeneratorType

The type of :term:asynchronous generator-iterator objects, created by asynchronous generator functions.

.. versionadded:: 3.6

.. class:: CodeType(**kwargs)

.. index:: pair: built-in function; compile

The type of :ref:code objects <code-objects> such as returned by :func:compile.

.. audit-event:: code.new code,filename,name,argcount,posonlyargcount,kwonlyargcount,nlocals,stacksize,flags types.CodeType

Note that the audited arguments may not match the names or positions required by the initializer. The audit event only occurs for direct instantiation of code objects, and is not raised for normal compilation.

.. data:: CellType

The type for cell objects: such objects are used as containers for a function's :term:closure variables <closure variable>.

.. versionadded:: 3.8

.. data:: MethodType

The type of methods of user-defined class instances.

.. data:: BuiltinFunctionType BuiltinMethodType

The type of built-in functions like :func:len or :func:sys.exit, and methods of built-in classes. (Here, the term "built-in" means "written in C".)

.. data:: WrapperDescriptorType

The type of methods of some built-in data types and base classes such as :meth:object.__init__ or :meth:object.__lt__.

.. versionadded:: 3.7

.. data:: MethodWrapperType

The type of bound methods of some built-in data types and base classes. For example it is the type of :code:object().__str__.

.. versionadded:: 3.7

.. data:: NotImplementedType

The type of :data:NotImplemented.

.. versionadded:: 3.10

.. data:: MethodDescriptorType

The type of methods of some built-in data types such as :meth:str.join.

.. versionadded:: 3.7

.. data:: ClassMethodDescriptorType

The type of unbound class methods of some built-in data types such as dict.__dict__['fromkeys'].

.. versionadded:: 3.7

.. class:: ModuleType(name, doc=None)

The type of :term:modules <module>. The constructor takes the name of the module to be created and optionally its :term:docstring.

.. seealso::

  :ref:`Documentation on module objects <module-objects>`
     Provides details on the special attributes that can be found on
     instances of :class:`!ModuleType`.

  :func:`importlib.util.module_from_spec`
     Modules created using the :class:`!ModuleType` constructor are
     created with many of their special attributes unset or set to default
     values. :func:`!module_from_spec` provides a more robust way of
     creating :class:`!ModuleType` instances which ensures the various
     attributes are set appropriately.

.. data:: EllipsisType

The type of :data:Ellipsis.

.. versionadded:: 3.10

.. class:: GenericAlias(t_origin, t_args)

The type of :ref:parameterized generics <types-genericalias> such as list[int].

t_origin should be a non-parameterized generic class, such as list, tuple or dict. t_args should be a :class:tuple (possibly of length 1) of types which parameterize t_origin::

  >>> from types import GenericAlias

  >>> list[int] == GenericAlias(list, (int,))
  True
  >>> dict[str, int] == GenericAlias(dict, (str, int))
  True

.. versionadded:: 3.9

.. versionchanged:: 3.9.2 This type can now be subclassed.

.. seealso::

  :ref:`Generic Alias Types<types-genericalias>`
     In-depth documentation on instances of :class:`!types.GenericAlias`

  :pep:`585` - Type Hinting Generics In Standard Collections
     Introducing the :class:`!types.GenericAlias` class

.. class:: UnionType

The type of :ref:union type expressions<types-union>.

.. versionadded:: 3.10

.. versionchanged:: 3.14

  This is now an alias for :class:`typing.Union`.

.. class:: TracebackType(tb_next, tb_frame, tb_lasti, tb_lineno)

The type of traceback objects such as found in sys.exception().__traceback__.

See :ref:the language reference <traceback-objects> for details of the available attributes and operations, and guidance on creating tracebacks dynamically.

.. data:: FrameType

The type of :ref:frame objects <frame-objects> such as found in :attr:tb.tb_frame <traceback.tb_frame> if tb is a traceback object.

.. data:: FrameLocalsProxyType

The type of frame locals proxy objects, as found on the :attr:frame.f_locals attribute.

.. versionadded:: 3.15

.. seealso:: :pep:667

.. data:: LazyImportType

The type of lazy import proxy objects. These objects are created when a module is lazily imported and serve as placeholders until the module is actually accessed. This type can be used to detect lazy imports programmatically.

.. versionadded:: 3.15

.. seealso:: :pep:810

.. data:: GetSetDescriptorType

The type of objects defined in extension modules with PyGetSetDef, such as :attr:FrameType.f_locals <frame.f_locals> or array.array.typecode. This type is used as descriptor for object attributes; it has the same purpose as the :class:property type, but for classes defined in extension modules.

.. data:: MemberDescriptorType

The type of objects defined in extension modules with PyMemberDef, such as datetime.timedelta.days. This type is used as descriptor for simple C data members which use standard conversion functions; it has the same purpose as the :class:property type, but for classes defined in extension modules.

In addition, when a class is defined with a :attr:~object.__slots__ attribute, then for each slot, an instance of :class:!MemberDescriptorType will be added as an attribute on the class. This allows the slot to appear in the class's :attr:~type.__dict__.

.. impl-detail::

  In other implementations of Python, this type may be identical to
  ``GetSetDescriptorType``.

.. class:: MappingProxyType(mapping)

Read-only proxy of a mapping. It provides a dynamic view on the mapping's entries, which means that when the mapping changes, the view reflects these changes.

.. versionadded:: 3.3

.. versionchanged:: 3.9

  Updated to support the new union (``|``) operator from :pep:`584`, which
  simply delegates to the underlying mapping.

.. describe:: key in proxy

  Return ``True`` if the underlying mapping has a key *key*, else
  ``False``.

.. describe:: proxy[key]

  Return the item of the underlying mapping with key *key*.  Raises a
  :exc:`KeyError` if *key* is not in the underlying mapping.

.. describe:: iter(proxy)

  Return an iterator over the keys of the underlying mapping.  This is a
  shortcut for ``iter(proxy.keys())``.

.. describe:: len(proxy)

  Return the number of items in the underlying mapping.

.. method:: copy()

  Return a shallow copy of the underlying mapping.

.. method:: get(key[, default])

  Return the value for *key* if *key* is in the underlying mapping, else
  *default*.  If *default* is not given, it defaults to ``None``, so that
  this method never raises a :exc:`KeyError`.

.. method:: items()

  Return a new view of the underlying mapping's items (``(key, value)``
  pairs).

.. method:: keys()

  Return a new view of the underlying mapping's keys.

.. method:: values()

  Return a new view of the underlying mapping's values.

.. describe:: reversed(proxy)

  Return a reverse iterator over the keys of the underlying mapping.

  .. versionadded:: 3.9

.. describe:: hash(proxy)

  Return a hash of the underlying mapping.

  .. versionadded:: 3.12

.. class:: CapsuleType

The type of :ref:capsule objects <capsules>.

.. versionadded:: 3.13

Additional Utility Classes and Functions

.. class:: SimpleNamespace

A simple :class:object subclass that provides attribute access to its namespace, as well as a meaningful repr.

Unlike :class:object, with :class:!SimpleNamespace you can add and remove attributes.

:py:class:SimpleNamespace objects may be initialized in the same way as :class:dict: either with keyword arguments, with a single positional argument, or with both. When initialized with keyword arguments, those are directly added to the underlying namespace. Alternatively, when initialized with a positional argument, the underlying namespace will be updated with key-value pairs from that argument (either a mapping object or an :term:iterable object producing key-value pairs). All such keys must be strings.

The type is roughly equivalent to the following code::

   class SimpleNamespace:
       def __init__(self, mapping_or_iterable=(), /, **kwargs):
           self.__dict__.update(mapping_or_iterable)
           self.__dict__.update(kwargs)

       def __repr__(self):
           items = (f"{k}={v!r}" for k, v in self.__dict__.items())
           return "{}({})".format(type(self).__name__, ", ".join(items))

       def __eq__(self, other):
           if isinstance(self, SimpleNamespace) and isinstance(other, SimpleNamespace):
              return self.__dict__ == other.__dict__
           return NotImplemented

SimpleNamespace may be useful as a replacement for class NS: pass. However, for a structured record type use :func:~collections.namedtuple instead.

:class:!SimpleNamespace objects are supported by :func:copy.replace.

.. versionadded:: 3.3

.. versionchanged:: 3.9 Attribute order in the repr changed from alphabetical to insertion (like dict).

.. versionchanged:: 3.13 Added support for an optional positional argument.

.. function:: DynamicClassAttribute(fget=None, fset=None, fdel=None, doc=None)

Route attribute access on a class to getattr.

This is a descriptor, used to define attributes that act differently when accessed through an instance and through a class. Instance access remains normal, but access to an attribute through a class will be routed to the class's getattr method; this is done by raising AttributeError.

This allows one to have properties active on an instance, and have virtual attributes on the class with the same name (see :class:enum.Enum for an example).

.. versionadded:: 3.4

Coroutine Utility Functions

.. function:: coroutine(gen_func)

This function transforms a :term:generator function into a :term:coroutine function which returns a generator-based coroutine. The generator-based coroutine is still a :term:generator iterator, but is also considered to be a :term:coroutine object and is :term:awaitable. However, it may not necessarily implement the :meth:~object.__await__ method.

If gen_func is a generator function, it will be modified in-place.

If gen_func is not a generator function, it will be wrapped. If it returns an instance of :class:collections.abc.Generator, the instance will be wrapped in an awaitable proxy object. All other types of objects will be returned as is.

.. versionadded:: 3.5