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!/usr/bin/env python
# -*- coding:utf-8 -*-
import hashlib

def genMod(str, modNumber):
    m = hashlib.md5()
    m.update(str[::-1])
    a = int(m.hexdigest()[5:10],16)
    return a % modNumber

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E = 0
up = 1

max = 8
for i in range(1,max+1):
    print "i %d" % i,
    print "up %f" % up,
    p = 1.0/float(max+1-i)
    print "p %f" % p,
    print "p*up %f" % (p*up),

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def combination( a, b ):
    """
        >>> combination( 3, 1 )
        3
        >>> combination( 3, 2 )
        3
        >>> combination( 4, 2 )
        6 
    """    
    # a! / b!(a-b)!

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#! -*- coding:utf-8 -*-
import urllib

url = "http://pcod.no-ip.org/yats/search?"
url2 ="http://showyou.ath.cx/kyoukitter/json?"
word = u"アプリ"

urls1 = url2 + urllib.urlencode({'word': word.encode('utf-8')}) + "&max=5"
f = urllib.urlopen(urls1)

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#!/usr/bin/env python
import urllib
from BeautifulSoup import BeautifulSoup

f = urllib.urlopen("http://php.net/manual/ja/indexes.php")
soup = BeautifulSoup(f.read())
for func in soup.findAll("dd"):
    if func.find('a'):
        print "\"",func.a.contents[0],"\","
    elif func.find('b'):

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# usage: egipt.py child mother
# egipt.py 1 2
# =  1/2
class Fraction:
    def __init__(self, child, mother):
        self.child = child
        self.mother = mother

    def __str__(self):
        return str(self.child)+"/"+str(self.mother)

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import math

from pylab import *
import random
def mixture_gaussian(i):
    pi_0 = 0.3
    if random.random() < pi_0: 
        return random.gauss(-5, 1)
    else:
        return random.gauss( 5, 4)

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#!/usr/bin/env python
# -*- coding:utf-8 -*-
import simplejson
import tweepy
import sys


def load_json_file(filename):
    try:
        f = open(filename)

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import copy

def machi(num):
    """
        >>> machi('1112224588899')
        (111)(222)(888)(99)[45]
        >>> machi('1122335556799')
        (123)(123)(555)(99)[67]
        (123)(123)(55)(567)[99]
        (123)(123)(99)(567)[55]

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#!/usr/bin/env python
# -*- coding:utf-8 -*-
# 変分混合ガウス分布を解く。テストデータはOld Faithful
import math
from scipy import *
from scipy.special import polygamma
from scipy import linalg
from random import gauss

def main():