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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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Table of Contents
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Challenge
Implement the log Decorator
The
logdecorator 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_nameargument so that it can be used like this:@log(file_name="log_file.txt") def some_functions(a, b): pass -
Challenge
Implement the benchmark Decorator
The
benchmarkdecorator 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_nameargument so that it can be used like this:@benchmark(file_name="benchmarks.txt") def some_functions(a, b): pass
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
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Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.