# -*- coding: utf-8 -*-
# 可变参求和
for x in args:
sum += sum + x
return sum
#如果不需要立刻求和,而是在后面的代码中,根据需要再计算怎么办?可以不返回求和的结果,而是返回求和的函数:
def lazy_sum(*args):
def sum_t():
sum = 0
for x in args:
sum += sum + x
return sum
return sum_t
#当我们调用lazy_sum()时,返回的并不是求和结果,而是求和函数:
#f = lazy_sum(1, 3, 5, 7, 9)
#25
#请再注意一点,当我们调用lazy_sum()时,每次调用都会返回一个新的函数,即使传入相同的参数
#闭包
#局部变量args,其内部的局部变量还被新函数sum_t引用
#
def count():
fs = []
for i in range (1,4):
def f ():
return i*i
fs.append(f)
return fs
f1, f2, f3 = count()
print(f1())
print(f2())
print(f3())
#f2 = count()
#f3 = count()
#print (f2(),f3())
#NOTE :返回闭包时牢记一点:返回函数不要引用任何循环变量,或者后续会发生变化的变量。
def count():
def f(j):
def g():
return j*j
return g
fs = []
for i in range (1,4):
fs.append(f(i))
return fs
f1,f2,f3 = count()
print(f1(),f2(),f3())
#利用闭包返回一个计数器函数,每次调用它返回递增整数:
def createCounter():
x = 0
def Counter():
nonlocal x
x += 1
return x
return Counter
counterA = createCounter()
print(counterA(), counterA(), counterA(), counterA(), counterA())
# 答案 1,2,3,4,5