python 魔术方法

import time
func_count_time_dict = {}
def count_time(func):
    global func_count_time_dict
    func_count_time_dict[func]=[1,time.localtime()]
    def wrapper():

        global func_count_time_dict
        func()
        print 'func name: ',func.__name__
        print 'count: ',func_count_time_dict[func][0]
        print 'last call time: ',time.asctime(func_count_time_dict[func][1])
        
        func_count_time_dict[func][0]+=1
        func_count_time_dict[func][1]=time.localtime()
    
    return wrapper


@count_time
def foo():
    print 'in foo()'
 
@count_time
def foo_1():
    print 'in foo_1'

foo_1()
foo_1()
foo_1()
    
foo()

foo_1()
foo()
foo()

foo_1()

 

class MyIterator(object):  
    def __init__(self, data_iter):  
        self.data_iter = data_iter  
        self.start = 0
  
    def __iter__(self):  
        return self  
  
    def next(self):    
        print self.start
        if self.start >= len(self.data_iter):  
            raise StopIteration  
        ans = self.data_iter[self.start]
        self.start += 1
        return ans

        
if __name__ == "__main__":  
    iter = MyIterator(range(10))  
    for i in iter:  
        print i  

 

def fib(max):  
    a, b = 0, 1            
    while a < max:  
        yield a            
        a, b = b, a + b  
  
      
for i in fib(1000):  
    print(i)  

 

map_output = map(lambda x: 2 * x, range(10))
print map_output

print map(lambda x, y : x + y, range(8), range(8)) 

reduce_output = reduce(lambda x, y:x * y, range(1, 10))
##pep8?
print reduce_output

m=lambda x,y:x>y
print m(1,5)

filter_output = filter(lambda x:x % 2,  range(1, 10))
print filter_output