Python3 默认数据结构( 列表、 dict、tuple...etc) 的计算复杂性是什么?
(记忆中的复杂问题也很有意思。 )
我发现:http://wiki.python.org/moin/TimeComplexity ----恐怕是关于python 2的,不是吗?
Python3 默认数据结构( 列表、 dict、tuple...etc) 的计算复杂性是什么?
(记忆中的复杂问题也很有意思。 )
我发现:http://wiki.python.org/moin/TimeComplexity ----恐怕是关于python 2的,不是吗?
计算的复杂性与 < / em> 解决 < / em > 的< em> 路径有关。 独立地说, 如果 Python 3 速度更快或不快, 复杂性将是相同的 -- 除非用原则上不同的算法解决不了问题。
有时,同名的抽象数据结构可能有所不同(Python 2 字符串对 Python 3 字符串或 Int, 长于 Python 2 和 Python 3 的通用字符串)。
我没有检查过,但我猜Python 2和Python 3在这种意义上没有不同。
维基条目适用于 Python 2 和 3. 的 CPython 条目 。 这些类别没有改变。 其他执行可能不同, 但是如果他们希望人们将代码从 CPython 移植到 xpython, 它们必须相似 。 例如, 使用列表类型链接列表的 Python 将需要一个相当不同的编程符号和代码重新排列来运作良好 ; - ) 。
在3.3中,对单项类进行了修改,以便共享一个类多个实例的'em>dict
更重要的是,(unicode)字符串类(unicode)已经完全改写,只使用所需的数个字节/字符。 结果一般会减少空间和时间,但主要效果应该是对被O(XXX)符号忽略的乘数的影响。
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