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Benchmarking Functions with Python Decorators

Decorators are just syntactic sugar, but they are one of the most interesting features of Python. Being able to add functionality or features to existing functions and classes without modifying the original source can be incredibly valuable and allows for leveraging code reuse in a way that many object-oriented languages simply can't. In this hands-on lab, you'll be writing decorator functions that allows for adding benchmarking and logging to functions, with an option for passing in a file name to log to. Completing this lab will demonstrate that you know how to write and utilize function decorators in Python.

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Lab platform
Lab Info
Level
Advanced
Last updated
Sep 23, 2025
Duration
1h 0m

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Table of Contents
  1. Challenge

    Implement the log Decorator

    The log decorator needs to print (or write to a file) a line in the following format:

    running: [wrapped_function_name] args: [positional_arguments] kwargs: [keyword_arguments]
    

    The function should allow for an optional file_name argument so that it can be used like this:

    @log(file_name="log_file.txt")
    def some_functions(a, b):
        pass
    
  2. Challenge

    Implement the benchmark Decorator

    The benchmark decorator needs to print (or write to a file) a line in the following format:

    benchmark: [wrapped_function_name] duration: [total_runtime_in_seconds]
    

    The function should allow for an optional file_name argument so that it can be used like this:

    @benchmark(file_name="benchmarks.txt")
    def some_functions(a, b):
        pass
    
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