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### In Clojure, it's written as "take 5 (nToTicket (iterate inc))"
def inc():
	n = 0
	while True:
		yield n
		n += 1

def lazyMap(f, xs, times=None):
	time = 0
	for x in xs():

mebusw

from django.utils import timezone

# Suppose in settings.py, TIME_ZONE = 'Asia/Shanghai'


timezone.now()
# >>> datetime.datetime(2014, 5, 29, 0, 35, 19, 523838, tzinfo=<UTC>)

timezone.localtime(timezone.now())
# >>> datetime.datetime(2014, 5, 29, 8, 35, 29, 427944, tzinfo=<DstTzInfo 'Asia/Shanghai' CST+8:00:00 STD>)

mebusw

################# Solution1 ##############

# First, copy your image file to the upload path (assumed = 'path/' in following snippet).
#
# Second, use something like:

class Layout(models.Model):
    image = models.ImageField('img', upload_to='path/')

layout = Layout()

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class decoratorWithArguments(object):

    def __init__(self, arg1, arg2, arg3):
        """
        If there are decorator arguments, the function
        to be decorated is not passed to the constructor!
        """
        print "Inside __init__()"
        self.arg1 = arg1
        self.arg2 = arg2

mebusw

class Pipe(object):
    def __init__(self, func):
        self.func = func
 
    def __ror__(self, other):
        def generator():
            for obj in other:
                if obj is not None:
                    yield self.func(obj)
        return generator()

mebusw

def xf(x,y):
	l=[]
	while True:
		if x==0:
			break
		else:
			z,h=divmod(x,y)
			x=z
			l.insert(0,h)
	return ''.join(map(str, l))

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def g(L):
	for i in L:
		yield i
	for i in [ x+y for x in L for y in L]:
		yield i

gg=g(['A', 'B', 'C'])
for i in xrange(15):
	print next(gg)

mebusw

#coding=utf-8
#!/usr/bin/python

import thread
import time

# 为线程定义一个函数
def print_time( threadName, delay):
   count = 0
   while count < 5:

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from multiprocessing import Pool
import time

def func(i):
    time.sleep(1)
    print i

pool = Pool(3)
pool.map(func, range(30))
pool.close()

mebusw

#! encoding=utf8
import unittest


def maxProfit(prices):
    if not prices:
        return 0

    currBuy = -prices[0] #表示当天最终未持股的情况下，当天结束后的累计最大利润
    currSell = 0 #表示当天最终持股的情况下，当天结束后的累计最大利润