Skip to main content

Python Decorator

🐍 When you need to use a function and add more code to it while retaining original function, you can use decorator.
A decorator is nothing but a function to which another function is passed, and both are run.
First we will look at Closure in Python. It is calling of a function inside another function from outside. Example of a Closure:

def one(func):
def two(*args):
print(f"You are running function {two.__name__} and have passed arguments as follows: {args}")
print(f"Result of the two numbers {args[0]} and {args[1]} is {func(*args)}")
return two
def addfunc(x,y):
print("Addition")
return x+y
def subfunc(x,y):
print("Subtraction")
return x-y
addouter = one(addfunc)
subouter = one(subfunc)
addouter(4,3)
subouter(4,3)

Output

You are running function two and have passed arguments as follows: (4, 3)
Addition
Result of the two numbers 4 and 3 is 7
You are running function two and have passed arguments as follows: (4, 3)
Subtraction
Result of the two numbers 4 and 3 is 1
  1. Created function "one" with another function inside it named "two"
  2. Function "one" returns function "two"
  3. Function "two" calls the function passed to function "one"
  4. We created two more functions named "addfunc" and "subfunc". These functions adds two numbers passed to it and subtracts two numbers passed to it respectively.
  5. We passed these functions to function "one"
Now let's try the same thing using decorator

def one(func):
def two(*args):
print(f"You are running function {two.__name__} and have passed arguments as follows: {args}")
print(f"Result of the two numbers {args[0]} and {args[1]} is {func(*args)}")
return two
@one
def addfunc(x,y):
print("Addition")
return x+y
@one
def subfunc(x,y):
print("Subtraction")
return x-y
addfunc(4, 3)
subfunc(4, 3)

Output


You are running function two and have passed arguments as follows: (4, 3)
Addition
Result of the two numbers 4 and 3 is 7
You are running function two and have passed arguments as follows: (4, 3)
Subtraction
Result of the two numbers 4 and 3 is 1
Now we need not save returned function to call them. It can will be directly called and functions addfunc and subfunc will be passed as we used decorator

Comments

Popular posts from this blog

Python - List - Append, Count, Extend, Index, Insert, Pop, Remove, Reverse, Sort

🐍 Advance List List is widely used and it's functionalities are heavily useful. Append Adds one element at the end of the list. Syntax list1.append(value) Input l1 = [1, 2, 3] l1.append(4) l1 Output [1, 2, 3, 4] append can be used to add any datatype in a list. It can even add list inside list. Caution: Append does not return anything. It just appends the list. Count .count(value) counts the number of occurrences of an element in the list. Syntax list1.count(value) Input l1 = [1, 2, 3, 4, 3] l1.count(3) Output 2 It returns 0 if the value is not found in the list. Extend .count(value) counts the number of occurrences of an element in the list. Syntax list1.extend(list) Input l1 = [1, 2, 3] l1.extend([4, 5]) Output [1, 2, 3, 4, 5] If we use append, entire list will be added to the first list like one element. Extend, i nstead of considering a list as one element, it joins the two lists one after other. Append works in the following way. Input l1 = [1, 2, 3] l1.append([4, 5]) Output...

Difference between .exec() and .execPopulate() in Mongoose?

Here I answer what is the difference between .exec() and .execPopulate() in Mongoose? .exec() is used with a query while .execPopulate() is used with a document Syntax for .exec() is as follows: Model.query() . populate ( 'field' ) . exec () // returns promise . then ( function ( document ) { console . log ( document ); }); Syntax for .execPopulate() is as follows: fetchedDocument . populate ( 'field' ) . execPopulate () // returns promise . then ( function ( document ) { console . log ( document ); }); When working with individual document use .execPopulate(), for model query use .exec(). Both returns a promise. One can do without .exec() or .execPopulate() but then has to pass a callback in populate.

Python Class to Calculate Distance and Slope of a Line with Coordinates as Input

🐍  Can be run on Jupyter Notebook #CLASS DESIGNED TO CREATE OBJECTS THAT TAKES COORDINATES AND CALCULATES DISTANCE AND SLOPE class Line:     def __init__(self,coor1,coor2):         self.coor1=coor1         self.coor2=coor2 #FUNCTION CALCULATES DISTANCE     def distance(self):         return ((self.coor2[0]-self.coor1[0])**2+(self.coor2[1]-self.coor1[1])**2)**0.5 #FUNCTION CALCULATES SLOPE         def slope(self):         return (self.coor2[1]-self.coor1[1])/(self.coor2[0]-self.coor1[0]) #DEFINING COORDINATES coordinate1 = (3,2) coordinate2 = (8,10) #CREATING OBJECT OF LINE CLASS li = Line(coordinate1,coordinate2) #CALLING DISTANCE FUNCTION li.distance() #CALLING SLOPE FUNCTION li.slope()