Python wrapper function to monitor execution time

decorators.py

# source: Sadrach Pierre https://builtin.com/data-science/python-wrapper
from functools import wraps

def runtime_monitor(input_function):
   @functools.wraps(input_function)
   def runtime_wrapper(*args, **kwargs):
       start_value = time.perf_counter() 
       return_value = input_function(*args, **kwargs)
       end_value = time.perf_counter()
       runtime_value = end_value - start_value 
       print(f"Finished executing {input_function.__name__} in {runtime_value} seconds")
       return return_value
   return runtime_wrapper

def debugging_method(input_function):
   @functools.wraps(input_function)
   def debugging_wrapper(*args, **kwargs):
       arguments = []
       keyword_arguments = []
       for a in args:
          arguments.append(repr(a))    
       for key, value in kwargs.items():
          keyword_arguments.append(f"{key}={value}")
       function_signature = arguments + keyword_arguments
       function_signature = "; ".join(function_signature)      
       print(f"{input_function.__name__} has the following signature: {function_signature}")
       return_value = input_function(*args, **kwargs)
       print(f"{input_function.__name__} has the following return: {return_value}") 
       return return_value
   return debugging_wrapper