Decorators

def hello_decorator(func):
	def wrapper(*args, **kwargs):
		result = func(*args, **kwargs)
		return result
return wrapper

@hello_decorator
def add(a, b):
	return a + b 

if __name__ == '__main__':
	output = add(2, 2)
	print(output)

• Python Decorators in 15 Minutes | Calm Code Decorators #💻️/⭐ (Private)
• Decorators 101
• Decorators 201
  • To get the correct doc strings and indicate that wrapping has occurred on the given function we can use the Functools module with the wraps function
• Decorators with params
  • Useful with using Classes so the extra param passing boiler plate can be avoided
• 3 Essential Decorators in Python You Need To Know
• Can use logging decorators with Functools to log data changes:

from functools import wraps
import datetime as dt

def log_step(func):
  @wraps(func)
  def wrapper(*args, **kwargs):
	  tic = dt.datetime.now()
	  result = func(*args, **kwargs)
	  time_taken = str(dt.datetime.now() - tic)
	  print(f"just ran step {func.__name__} shape={result.shape} took {time_taken}s")
	  return result
  return wrapper

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Backlinks

• Wrapper Functions (DevLog)