decorator python
def our_decorator(func):
def function_wrapper(x):
print("Before calling " + func.__name__)
func(x)
print("After calling " + func.__name__)
return function_wrapper
@our_decorator
def foo(x):
print("Hi, foo has been called with " + str(x))
foo("Hi")python decorator
# Decorator with arguments
import functools
# First function takes the wanted number of repetition
def repeat(num_times):
# Second function takes the function
def decorator_repeat(func):
# Third function, the wrapper executes the function the number of times wanted
# functools decorator to print the true name of the function passed instead of "wrapper"
@functools.wraps(func)
def wrapper(*args, **kwargs):
for _ in range(num_times):
result= func(*args, **kwargs)
return result
return wrapper
return decorator_repeat
# Our function using the decorator
@repeat(num_times= 3)
def greet(name):
print(f"Hello {name}")
greet("thomas")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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