There are parameters decorator job iterator

# 1, to explain the class has written reference decorator ready dictation tomorrow

def auth(db_type):
    def deco(func):
        def wrapper(*args,**kwargs):
            name = input('your name>>>: ').strip()
            pwd = input('your password>>>: ').strip()
            if db_type == 'file':
                print('基于文件的验证')
                if name == 'egon' and pwd == '123':
                    RES = FUNC (* args, ** kwargs)
                     return RES
             elif db_type == ' mysql ' :
                 Print ( ' based authentication of mysql ' )
             elif db_type == ' ldap ' :
                 Print ( ' based authentication ldap ' )
             the else :
                 Print ( ' not supported db_type ' )
         return warpper
     return Deco

@auth(db_type='file')
def index(x,y):
    print('index>>>%s %s'%(x,y))

@auth(db_type='mysql')
def home(name):
    print(name)

@auth(db_type='ldap')
def transfer():
    print('transfer')

　　2: Remember when we use the concept of function object, making a dictionary function of operating it, Come, come, we have more practice on the large, empty dictionary in a statement at the beginning of the file, and then add a decorator in front of each function, complete the operation automatically added to the dictionary

dic = {}
def add_dic(key,value):
    def outter(func):
        def wrapper(*args,**kwargs):
            dic[key]=value
            res = func(*args,**kwargs)
            return res
        return wrapper
    return outter
@add_dic('1',['login','登入'])
def login():
    pass
@add_dic('2',['REGIST ' , ' registration ' ])
 DEF REGIST ():
     Pass 
@add_dic ( ' . 3 ' , [ ' check_money ' , ' balance inquiry ' ])
 DEF check_money ():
     Pass 
Login () 
REGIST () 
check_money () 
Print (DIC )

3, write the log decorator implement the functions such as: Once the function f1 performed, the message 2017-07-21 11:12:11 f1 run is written to the log file, the log file can be specified path

import time

src = None
def ouutar(func):
    def wrapper(*args,**kwargs):
        global src
        if src == None:
            inp_src = input('输入文件路径')
            src = inp_src
        res = func(*args,**kwargs)
        with open(inp_src,'at',encoding='utf-8') as f:
            f.write('{} f1 run'.format(time.strftime(' % Y-M-%%% X-D ' )))
             Print ( ' write success ' )
         return RES
     return warpper 
@ouutar 
DEF F1 ():
     Pass 
F1 ()

4, based on an iterative manner, the value strings, lists, tuples, dictionaries while loop iteration, set the file object

def a(obj_iterator):
    while True:
        try:
            print(obj_iterator.__next__())
        except StopIteration:
            break

a('123'.__iter__())
a([1,2,3].__iter__())
a({1:'a',2:'b'}.__iter__())
a((1,2,3).__iter__())
a({1,2,3}.__iter__())
with open('a.txt','rt',encoding='utf-8')as f:
    a(f.__iter__())

5, custom iterators implement range function

def my_range(start, stop, step=1):
    while start < stop:
        yield start
        start += step


for i in my_range(0,5):
    print(i)

There are parameters decorator job iterator

Guess you like