#!/usr/bin/env python """
HMM module This module implements simple Hidden Markov Model class. It follows the description in
Chapter 6 of Jurafsky and Martin (2008) fairly closely, with one exception: in this
implementation, we assume that all states are initial states. @author: Rob Malouf
@organization: Dept. of Linguistics, San Diego State University
@contact: rmalouf@mail.sdsu.edu
@version: 2
@since: 24-March-2008
""" from copy import copy class HMM(object): """
Class for Hidden Markov Models
An HMM is a weighted FSA which consists of: - a set of states (0...C{self.states})
- an output alphabet (C{self.alphabet})
- a table of state transition probabilities (C{self.A})
- a table of symbol emission probabilities (C{self.B})
- a list of initial probabilies (C{self.initial}) We assume that the HMM is complete, and that all states are both initial and final
states.
"""
def __init__(self,states,alphabet,A,B,initial):
"""
Create a new FSA object
@param states: states
@type states: C{list}
@param alphabet: output alphabet
@type finals: C{list}
@param A: transition probabilities
#---------------------转转转转转转转转转转转转转转转转转转转转转转转-------------------------------------------#
Python作为一种功能强大且通用的编程语言而广受好评，它具有非常清晰的语法特点，适用于多种操作系统，目前在国际上非常流行，正在得到越来越多的应用。
下面就让我们一起来看看它的强大 ......
刚刚写完Python嵌入部分的简单例子（差不多够现在用的啦~），接着看点实际的东西，如果没有这些应用的话，前面的嵌入也没有什么意义。嵌入的其他部分以后遇到再写，不必一下子把那些函数都弄懂，是吧~
OK，来看Python库中我认为最好玩的一部分，也就是Python对网页的操作。
这篇简单说下如何通过网址下载网页，前提当然是 ......
client:
import socket, sys
if __name__ == '__main__':
#处理参数
argv = sys.argv
if (len(argv)!=3) or (len(argv)==2 and argv[1]=='/?'):
print '>>>Useage:', argv[0], '<address> < ......
