python decorator
#Decorator are just function that take function as first
#parameter and return a function
def logging(f):
def decorator_function(*args, **kwargs):
print('executing '+f.__name__)
return f(*args, **kwargs)
return decorator_function
#Use it like this
@logging
def hello_world():
print('Hello World')
#calling hello_world() prints out:
#executing hello_world
#Hello Worldpython decorators
# decorators are user to decorate functions like what to do before/after calling the function
import time
def delay_decorator(function):
def wrapper_function():
print("-----------------------I am gonna greet you--------------------------")
time.sleep(2)# waits for 2 seconds
function() # calls the function
time.sleep(1)# waits for 1 sec
print("------------------How do you feel about that greet?-------------------")
return wrapper_function
@delay_decorator
def greet():
print("Helllllloooooooooo")
greet()python decorator
import functools
# A decorator is a Higher order function "_with_logging"
# It takes the function to be decorated as its argument
# In order to pass in some arbitrary arguments, it must be wrapped into
# another HOF (Higher order function) that will receive the inputs
def with_logging(level=logging.DEBUG, msg = None):
def _with_logging(fn):
# 'wraps' is a HOF that will give fn's name and docs to decorated_fn i.e.
# decorated_fn.__name__ = fn.__name__
# help(decorated_fn) = help(fn)
@functools.wraps(fn)
def decorated_fn(*args, **kwargs):
res = fn(*args, **kwargs)
print("n***************", f"n{msg}", "nExecuting with Args: ", *args, **kwargs)
logging.log(level, res)
return res
return decorated_fn
return _with_logging
# Used this way
@with_logging(level=logging.DEBUG, msg="Some awesome comment")
def hello_world(name):
return f'Hello World {name}'
# Results after calling hello_world("John")
#
# ***************
# Some awesome comment
# Executing with Args: John
# Hello World JohnCopyright © 2021 Codeinu
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