Functions and decorator jobs

1. Write a decorator for the function, output after the function is executed

   def end1(func):
       def new_func(*args,**kwargs):
           func(*args,**kwargs)
           print('after')
   
       return new_func
   @end1
   def sums(x,y):
       print('执行结束')
   sums(1,2)
   

2. Write a decorator for the function, set the return value of the function +100 and then return.

   def add_100(func):
        def new_func(*args,**kwargs):
            result=func(*args,**kwargs)
            if type(result) in (int,float,bool,complex):
                return result+100        
            return result
        return new_func
   @ add_100
   def sums(x,y):
       return x+y
   result1=sums(1,2)
   print(result1)
   
   

3. Writing a decorator @tag requires the following functions:

   def tag(func):
       def new_func(*args, **kwargs):
           result = f'<p>{func(*args, **kwargs)}</p>'
           return result
   
       return new_func
   
   @tag
   def render(text):
       # 执行其他操作
       return text
   
   @tag
   def render2():
       return 'abc'
   
   print(render('Hello'))   # 打印出: <p>Hello</p>
   print(render2())     # 打印出: <p>abc</p>
   

4. Find the element with the largest absolute value in the list nums

   #例如：nums = [-23, 100, 89, -56, -234, 123], 最大值是：-234
   nums = [-23, 100, 89, -56, -234, 123]
   result=max([i if i >0 else -i for i in nums])
   print(result)
   

5. There are two lists A and B. Use the map function to create a dictionary. The element in A is the key and the element in B is the value.

   """
   A = ['name', 'age', 'sex']
   B = ['张三', 18, '女']
   新字典: {'name': '张三', 'age': 18, 'sex': '女'}
   """
    
   A = ['name', 'age', 'sex']
   B = ['张三', 18, '女']
   def func1(x,y):
       return x,y
   result=dict((map(func1,A,B)))
   print(result)
   

6. It is known that three lists respectively represent the names, subjects and class numbers of 5 students. Use map to compose these three lists into a dictionary representing the class information of each student

    """names = ['小明', '小花', '小红', '老王']
    nums = ['1906', '1807', '2001', '2004']
    subjects = ['python', 'h5', 'java', 'python']
    结果：{'小明': 'python1906', '小花': 'h51807', '小红': 'java2001', '老王': 'python2004'}"""
    
    names = ['小明', '小花', '小红', '老王']
    nums = ['1906', '1807', '2001', '2004']
    subjects = ['python', 'h5', 'java', 'python']
    result2 = dict(map(lambda x, y, z: (x,f'{z}{y}'), names, nums, subjects))
    print(result2)
   

7. There is already a list message, use reduce to calculate the sum of all numbers in the list (using the list comprehension and the non-list comprehension method to do it)

   '''message = ['你好', 20, '30', 5, 6.89, 'hello']
   结果：31.89'''
   from functools import reduce
   
   message = ['你好', 20, '30', 5, 6.89, 'hello']
   # 列表推导式
   result = reduce(lambda x, y: x + y, [i for i in message if type(i) in (int, float)])
   print(result)
   result2 = reduce(lambda x, y: x+y if type(y) in (int,float) else x+0, message,0)
   print(result2)