Fix-up the collections docs.
* Start filling in detail and examples for ABCs * Fix old reference to IterableUserDict. * Neaten-up the introduction.
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@ -10,19 +10,25 @@
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This module implements high-performance container datatypes. Currently,
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there are two datatypes, :class:`deque` and :class:`defaultdict`, and
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one datatype factory function, :func:`namedtuple`. Python already
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includes built-in containers, :class:`dict`, :class:`list`,
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:class:`set`, and :class:`tuple`. In addition, the optional :mod:`bsddb`
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module has a :meth:`bsddb.btopen` method that can be used to create in-memory
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or file based ordered dictionaries with string keys.
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one datatype factory function, :func:`namedtuple`.
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Future editions of the standard library may include balanced trees and
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ordered dictionaries.
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The specialized containers provided in this module provide alternatives
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to Python's general purpose built-in containers, :class:`dict`,
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:class:`list`, :class:`set`, and :class:`tuple`.
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Besides the containers provided here, the optional :mod:`bsddb`
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module offers the ability to create in-memory or file based ordered
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dictionaries with string keys using the :meth:`bsddb.btopen` method.
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In addition to containers, the collections module provides some ABCs
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(abstract base classes) that can be used to test whether
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a class provides a particular interface, for example, is it hashable or
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a mapping. The ABCs provided include those in the following table:
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(abstract base classes) that can be used to test whether a class
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provides a particular interface, for example, is it hashable or
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a mapping.
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ABCs - abstract base classes
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----------------------------
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The collections module offers the following ABCs:
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===================================== ================================================================================
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ABC Notes
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@ -62,18 +68,36 @@ ABC Notes
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``__isub__()``
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===================================== ================================================================================
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.. XXX Have not included them all and the notes are incomplete
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.. long = lines improves the layout
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These ABCs allow us to ask classes or instances if they provide
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particular functionality, for example::
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from collections import Sized
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size = None
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if isinstance(myvar, Sized):
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if isinstance(myvar, collections.Sized):
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size = len(myvar)
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Several of the ABCs are also useful as mixins that make it easier to develop
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classes supporting container APIs. For example, to write a class supporting
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the full :class:`Set` API, it only necessary to supply the three underlying
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abstract methods: :meth:`__contains__`, :meth:`__iter__`, and :meth:`__len__`.
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The ABC supplies the remaining methods such as :meth:`__and__` and
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:meth:`isdisjoint` ::
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class ListBasedSet(collections.Set):
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'Alternate set implementation favoring space over speed'
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def __init__(self, iterable):
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self.elements = list(set(iterable))
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def __iter__(self):
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return iter(self.elements)
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def __contains__(self, value):
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return value in self.elements
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def __len__(self):
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return len(self.elements)
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s1 = ListBasedSet('abcdef')
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s2 = ListBasedSet('defghi')
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overlap = s1 & s2 # The __and__() method is supported automatically
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(For more about ABCs, see the :mod:`abc` module and :pep:`3119`.)
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@ -607,8 +631,7 @@ attribute.
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be kept, allowing it be used for other purposes.
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In addition to supporting the methods and operations of mappings,
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:class:`UserDict` and :class:`IterableUserDict` instances
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provide the following attribute:
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:class:`UserDict` instances provide the following attribute:
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.. attribute:: UserDict.data
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