命名元组是易于创建的轻量级对象类型。namedtuple
可以使用类似对象的变量引用或标准元组语法来引用实例。如果这些数据结构可以通过对象延迟和索引访问,它们是如何在内部实现的?是通过哈希表吗?
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实际上,很容易找出给定namedtuple
的实现方式:如果您verbose=True
在创建它时传递关键字参数,则会打印其类定义:
>>> Point = namedtuple('Point', "x y", verbose=True)
from builtins import property as _property, tuple as _tuple
from operator import itemgetter as _itemgetter
from collections import OrderedDict
class Point(tuple):
'Point(x, y)'
__slots__ = ()
_fields = ('x', 'y')
def __new__(_cls, x, y):
'Create new instance of Point(x, y)'
return _tuple.__new__(_cls, (x, y))
@classmethod
def _make(cls, iterable, new=tuple.__new__, len=len):
'Make a new Point object from a sequence or iterable'
result = new(cls, iterable)
if len(result) != 2:
raise TypeError('Expected 2 arguments, got %d' % len(result))
return result
def _replace(_self, **kwds):
'Return a new Point object replacing specified fields with new values'
result = _self._make(map(kwds.pop, ('x', 'y'), _self))
if kwds:
raise ValueError('Got unexpected field names: %r' % list(kwds))
return result
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + '(x=%r, y=%r)' % self
@property
def __dict__(self):
'A new OrderedDict mapping field names to their values'
return OrderedDict(zip(self._fields, self))
def _asdict(self):
'''Return a new OrderedDict which maps field names to their values.
This method is obsolete. Use vars(nt) or nt.__dict__ instead.
'''
return self.__dict__
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return tuple(self)
def __getstate__(self):
'Exclude the OrderedDict from pickling'
return None
x = _property(_itemgetter(0), doc='Alias for field number 0')
y = _property(_itemgetter(1), doc='Alias for field number 1')
因此,它是 的子类,tuple
具有一些额外的方法来为其提供所需的行为、_fields
包含字段名称的类级常量以及property
用于访问元组成员的属性的方法。
至于实际构建这个类定义背后的代码,那是很神奇的。
于 2013-07-29T06:05:56.040 回答