Huffman Implementation with Python】的更多相关文章

Huffman Implementation with Python 码表 Token Frequency a 10 e 15 i 12 s 3 t 4 space 13 n 1 生成 Huffman 编码 根据上面的码表,先生成 Huffman 树,然后生成 Huffman 编码.代码如下: def binary_tree(val=None): return [val, [], []] def insert_left(root, branch): root[1] = branch def in…
Tree Implementation with Python List of List 代码如下: def binary_tree(val): return [val, [], []] def insert_left(root, val): root[1] = binary_tree(val) def insert_right(root, val): root[2] = binary_tree(val) def get_root_val(root): return root[0] def se…
We can realize a Stack as an adaptation of a Python List. S.push(e)=L.append(e) S.pop()=L.pop() S.top()=L[-1] S.len()=len(L) S.is_empty=(len(L)==0) class Empty(Exception): pass class ArrayStack: """LIFO Stack implementation using Python&quo…
这篇论文中提到的naive cube算法的实现,python写出来真的就和伪代码差不多=.= 输入大约长这样,依次是 index userid country state city topic category product sales 1 400141 3 78 3427 3 59 4967 4670.08 2 783984 1 34 9 1 5 982 5340.9 3 4945 1 47 1658 1 7 363 3065.37 4 468352 2 57 2410 2 37 3688…
class Empty(Exception): pass class Linklist: class _Node: # Nonpublic class for storing a linked node __slots__='_element','_next' def __init__(self,ele,ne): self._element=ele self._next=ne def __init__(self): self._head=None self._size=0 self._tail=…
1. 压缩编码概述 数据压缩在日常生活极为常见,平常所用到jpg.mp3均采用数据压缩(采用Huffman编码)以减少占用空间.编码\(C\)是指从字符空间\(A\)到码字表\(X\)的映射.数据压缩编码指编码后信息的长度较于原始信息要短.本文试图探讨Huffman编码是如何保证唯一可译性.如何压缩.以及压缩效率如何? 前缀码 前缀码的任意一码字均不为其他码字的前缀,此保证了编码的唯一可译性.比如码字表{0, 01, 11, 1},0为01的前缀,1为11的前缀:当遇到字符文本011100,是应…
转自:http://developer.51cto.com/art/201507/483510.htm 很多来自世界各地的程序员不求回报的写代码为别人造轮子.贡献代码.开发框架.开放源代码使得分散在世界各地的程序员们都能够贡献他们的代码与创新. Python就是这样一门受到全世界各地开源社区支持的语言.Python可以用来开发各种小工具软件.web应用.科学计算.数据分析等等,Python拥有大量的流行框架,比如Django.使用Python框架时,可以根据自己的需求插入不同的模块,比如可以用S…
Awesome Python  A curated list of awesome Python frameworks, libraries, software and resources. Inspired by awesome-php. Awesome Python Environment Management Package Management Package Repositories Distribution Build Tools Interactive Interpreter Fi…
Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…
[转自]http://sahandsaba.com/understanding-asyncio-node-js-python-3-4.html Introduction I spent this summer working on a web platform running on Node.js. This was the first time I worked full-time with Node.js and one thing that became quite apparent af…