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Python•Foundations

Python Decorators

Flash cards

Review the key moves

1/4
Core idea

What is the main idea behind Python Decorators?

Lesson checks

Practice each idea before moving on

Short Mimo-style checks built from this lesson's code, terms, and sequence.

1Quick choice

Which statement best captures the main point of this lesson?

2Fill blank

Complete the missing token from the example code.

___ changecase(func):
3Order

Put the learning moves in the order that makes the concept easiest to apply.

*args and **kwargs
Arguments in the Decorated Function
Multiple Decorator Calls

Decorators let you add extra behavior to a function, without changing the function's code.

A decorator is a function that takes another function as input and returns a new function.

Basic Decorator

Define the decorator first, then apply it with @decorator_name above the function.

Example

def changecase(func):

  def myinner():

    return func().upper()

return myinner

@changecase

def myfunction():

  return "Hello Sally"

print(myfunction())

By placing @changecase directly above the function definition, the function myfunction is being "decorated" with the changecase function.

The function changecase is the decorator.

The function myfunction is the function that gets decorated.

Multiple Decorator Calls

A decorator can be called multiple times. Just place the decorator above the function you want to decorate.

@changecase

Arguments in the Decorated Function

Functions that require arguments can also be decorated, just make sure you pass the arguments to the wrapper function:

Example

def changecase(func):

  def myinner(x):

    return func(x).upper()

return myinner

@changecase

def myfunction(nam):

  return "Hello " + nam

print(myfunction("John"))

*args and **kwargs

Sometimes the decorator function has no control over the arguments passed from decorated function, to solve this problem, add ( *args , **kwargs ) to the wrapper function, this way the wrapper function can accept any number, and any type of arguments, and pass them to the decorated function.

*args

Decorator With Arguments

Decorators can accept their own arguments by adding another wrapper level.

Example

def changecase(n):

def changecase(func):

def myinner():

  if n == 1:

    a = func().lower()

  else:

    a = func().upper()

    return a

  return myinner

  return changecase

  @changecase(1)

def myfunction():

  return "Hello Linus"

print(myfunction())

Multiple Decorators

You can use multiple decorators on one function.

This is done by placing the decorator calls on top of each other.

Decorators are called in the reverse order, starting with the one closest to the function.

Example

def changecase(func):

  def myinner():

    return func().upper()

return myinner

def addgreeting(func):

  def myinner():

    return "Hello " + func() + " Have a good day!"

return myinner

@changecase

@addgreeting

def myfunction():

  return "Tobias"

print(myfunction())

Preserving Function Metadata

Functions in Python has metadata that can be accessed using the name and doc attributes.

__name__

But, when a function is decorated, the metadata of the original function is lost.

Example

def changecase(func):

  def myinner():

    return func().upper()

return myinner

@changecase

def myfunction():

  return "Have a great day!"

print(myfunction.__name__)

Expected output

def changecase(func): def myinner(): return func().upper() return myinner @changecase def myfunction(): return "Have a great day!" print(myfunction.__name__)

To fix this, Python has a built-in function called functools.wraps that can be used to preserve the original function's name and docstring.

functools.wraps

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