when to use decorators in python

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Nithish Soorya answered on December 29, 2020 Popularity 1/10 Helpfulness 1/10

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#using decorators to add or modify class methods
class MyClass:
    def __init__(self):
        self._x = None

    @property
    def x(self):
        """I'm the 'x' property."""
        return self._x

    @x.setter
    def x(self, value):
        self._x = value

    @x.deleter
    def x(self):
        del self._x

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Contributed on Jan 20 2023

Nithish Soorya

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python decorators

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### Decorators: Decorators are nothing but nested functions, where the parent function 
### takes only a function as input and the child function modifies the behavior of input function
import time
from functools import wraps
def decorator(func):
    """A decorator that prints how long a function took to run."""
    # Use @wraps to bind function's meta data like docstring / function name etc
    @wraps(func)
    # Define the wrapper function to return.
    def changed_func(*args, **kwargs):
        t_start = time.time()
        # Call the decorated function and store the result.
        result = func(*args, **kwargs)
        t_total = time.time() - t_start
        print('{} took {}s'.format(func.__name__, t_total))
        return result
    return changed_func

@decorator
def sleep_n_seconds(n):
    time.sleep(n)

sleep_n_seconds(5) # 5.00001

########################
### Decorator Factory: An outermost function that wraps around a decorator and takes argument for 
### the decorator since the decorator itself cannot take any argument other than a single function

from functools import wraps
# an outer function that takes argument
def decorator_factory(n):
    """Define and return a decorator"""
    def decorator(func):
        @wraps(func)
        def changed_func(*args, **kwargs):
            for i in range(n):
                func(*args, **kwargs)
        return changed_func
    return decorator

run_three_times = decorator_factory(3)
@run_three_times
def print_sum(a, b):
    print(a + b)

@decorator_factory(3)
def print_sum(a, b):
    print(a + b)

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Contributed on Dec 07 2023

Innocent Iguana

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decorators in python

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def deco(function):
    def wrap(num):
        if num % 2 == 0:
            print(num,"is even ")
        else:
            print(num,"is odd")
        function(num)
    return wrap
    
@deco
def display(num):
    return num
display(9)   # pass any number to check whether number is even or odd

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Contributed on Jun 25 2021

King Generous

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decorators in python

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# this functon converts any string into uppercase
def deco(function):
    def wrap(s):
        return s.upper()
        function(s)
    return wrap

@deco
def display(s):
    return s 
print(display("not bad"))

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Contributed on Jun 25 2021

King Generous

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examples of function decorators in Python

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from functools import wraps

def logit(func):
    @wraps(func)
    def with_logging(*args, **kwargs):
        print(func.__name__ + " was called")
        return func(*args, **kwargs)
    return with_logging

@logit
def addition_func(x):
   """Do some math."""
   return x + x


result = addition_func(4)
# Output: addition_func was called

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Source: book.pythontips.com

Tags: function functio

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Contributed on Dec 29 2020

Vast Vulture

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examples of function decorators in Python

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from functools import wraps

def logit(logfile='out.log'):
    def logging_decorator(func):
        @wraps(func)
        def wrapped_function(*args, **kwargs):
            log_string = func.__name__ + " was called"
            print(log_string)
            # Open the logfile and append
            with open(logfile, 'a') as opened_file:
                # Now we log to the specified logfile
                opened_file.write(log_string + '\n')
            return func(*args, **kwargs)
        return wrapped_function
    return logging_decorator

@logit()
def myfunc1():
    pass

myfunc1()
# Output: myfunc1 was called
# A file called out.log now exists, with the above string

@logit(logfile='func2.log')
def myfunc2():
    pass

myfunc2()
# Output: myfunc2 was called
# A file called func2.log now exists, with the above string

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Source: book.pythontips.com

Tags: function functio

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Contributed on Dec 29 2020

Vast Vulture

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using decorators

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class ClassHolder:
    def __init__(self):
        self.classes = {}

    def add_class(self, c):
        self.classes[c.__name__] = c

    # -- the decorator
    def held(self, c):
        self.add_class(c)

        # Decorators have to return the function/class passed (or a modified variant thereof), however I'd rather do this separately than retroactively change add_class, so.
        # "held" is more succint, anyway.
        return c 

    def __getitem__(self, n):
        return self.classes[n]

food_types = ClassHolder()

@food_types.held
class bacon:
    taste = "salty"

@food_types.held
class chocolate:
    taste = "sweet"

@food_types.held
class tee:
    taste = "bitter" # coffee, ftw ;)

@food_types.held
class lemon:
    taste = "sour"

print(food_types['bacon'].taste) # No manual add_class needed! :D

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Tags: python py

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Contributed on Jun 02 2022

structure

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python decorators

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>>> from functools import wraps
>>> def my_decorator(f):
...     @wraps(f)
...     def wrapper(*args, **kwds):
...         print('Calling decorated function')
...         return f(*args, **kwds)
...     return wrapper
...
>>> @my_decorator
... def example():
...     """Docstring"""
...     print('Called example function')
...
>>> example()
Calling decorated function
Called example function
>>> example.__name__
'example'
>>> example.__doc__
'Docstring'

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Source: docs.python.org

Tags: python py

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Contributed on Jul 19 2023

Nice Narwhal

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Decorators in python

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# decorator function to convert to lowercase
def lowercase_decorator(function):
   def wrapper():
       func = function()
       string_lowercase = func.lower()
       return string_lowercase
   return wrapper
# decorator function to split words
def splitter_decorator(function):
   def wrapper():
       func = function()
       string_split = func.split()
       return string_split
   return wrapper
@splitter_decorator # this is executed next
@lowercase_decorator # this is executed first
def hello():
   return 'Hello World'
hello()   # output => [ 'hello' , 'world' ]

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Tags: python py

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Contributed on May 30 2022

Rakesh Meher

0 Answers Avg Quality 2/10

Decorators in python

Comment

# decorator function to convert to lowercase
def lowercase_decorator(function):
   def wrapper():
       func = function()
       string_lowercase = func.lower()
       return string_lowercase
   return wrapper
# decorator function to split words
def splitter_decorator(function):
   def wrapper():
       func = function()
       string_split = func.split()
       return string_split
   return wrapper
@splitter_decorator # this is executed next
@lowercase_decorator # this is executed first
def hello():
   return 'Hello World'
hello()   # output => [ 'hello' , 'world' ]

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Contributed on May 30 2022

Rakesh Meher

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understanding decorator python 3

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from functools import wraps

def a_new_decorator(a_func):
    @wraps(a_func)
    def wrapTheFunction():
        print("I am doing some boring work before executing a_func()")
        a_func()
        print("I am doing some boring work after executing a_func()")
    return wrapTheFunction

@a_new_decorator
def a_function_requiring_decoration():
    """Hey yo! Decorate me!"""
    print("I am the function which needs some decoration to "
          "remove my foul smell")

print(a_function_requiring_decoration.__name__)
# Output: a_function_requiring_decoration

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Source: book.pythontips.com

Tags: decorator deco

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Contributed on Nov 30 2022

Marc Yeranosyan

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when to use decorators in python

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