"""
------------------------定义函数,定义过程,调用-----------------------
#1.定义函数
def func1 ():
"test"
print('in the func1')
return 0
#2.定义过程
def func2():
"test"
print('in the func2')
#3.调用
x = func1()
y = func2()
print("from func1 return is %s" %x)
print("from func1 return is %s" %y)
"""
"""
------------------------------为什么使用函数例子-----------------------
#4.为什么使用函数:例1
#减少重复代码
#保持程序一致性
#使程序变得容易扩展
import time
def logger():
time_format = '%Y-%m-%d %X'
time_current = time.strftime(time_format)
with open('a.txt','a',encoding='utf-8') as f:
f.write("%s why use the function........ \n" %time_current)
def test1():
print("test1 starting actioon.....")
logger()
def test2():
print("test2 starting action......")
logger()
def test3():
print("test3 starting action......")
logger()
test1()
test2()
test3()
"""
'''
---------------------------------------函数的返回值-----------------------
#5.函数的返回值
#为什么要有返回值? 因为要函数执行的结果
def test1():
print('in the test1')#返回值0
def test2():
print('in the test2')
return 0 # 返回1个值
def test3():
print('in the test3')
return 1,'hello',['sun','weiqi'],{'name':'sun'}#返回大于1个值
x = test1()
y = test2()
z = test3()
print(x)
print(y)
print(z)
#总结:
#返回值=0 返回null
#返回值=1:返回object
#返回值>1:返回tuple
'''
"""
------------------------------------函数的参数--------------------------
#6.函数的参数
def test(x,y):#位置参数和关键字
print(x,y)
test(y=1,x=4)#与形参顺序无关
test(1,2)#与形参一一对应
test(3,y=2)
def test2(x,y=2):#默认参数 特点:调用函数的时候默认参数非必须传递
print(x,y)
test2(3)
def test3(*args):#参数组* 表示参数个数不固定
print(args)
test3(1,2,34,4,{'name':'sun'})
test3(*[1,2,3,6,7])
def test4(x,*args):
print(x)
print(args)
test4(1,2,3,5,6,8,'sun')
def test5(name,**kwargs):#**kwargs 功能是把n个关键字参数,转换成字典的方式
print(name)
print(kwargs)
test5("li",age=10,set='M',sex='M')
"""
#6.局部变量和全局变量
'''
def test(name,age=18,*args,**kwargs):
print(name,age,args,kwargs)
logger("test")
def logger(source):
print("from %s" %source)
test('sun',age=22,y=2,sex='M',hobby='eat')
'''
'''
school = 'mysql'#全局变量(在第一级定义的都叫全局变量)
def change_name(name):
global school #修改全局变量
school = 'mysql2'
school = 'Python'
print("before change....",name,school)
name = 'ZHU'#局部变量,只在函数里面生效,这个函数就是这个变量的作用域
print("after change....",name,school)
name = 'sun'
change_name(name)
print(name,school)
-------------------------
这种方法在生产上面不能用
def change_name():
global name
name = 'sun'
change_name()
print(name)
------------------------------
school = 'mysql'
names = ["sun","zhang","zhu"]
def change_name():
names[0] = "sunsun"
print(names)
change_name()
print(names)
'''
"""
#递归函数
def calc(n):
print(n)
if int(n/2) >0:
return calc(int(n/2))
print("-->",n)
calc(10)
#递归特性:必须有一个明确的结束条件
#每次进入更深一层递归时,问题规模相比上次递归应该有所减少
#递归效率不高,递归层次过多会导致栈溢出
#函数与函数式编程不同
#高阶函数
#变量可以指向函数,函数的参数能接收变量,那么一个函数就可以接收另一个函数作为参数,这种函数就称之为高阶函数
def add(a,b,f):
return f(a)+f(b)
res = add(3,-6,abs)
print(res)
"""
#程序练习:
#1.实现简单的shell sed替换功能
#2.修改haproxy配置文件