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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.

Lab Info
Table of Contents
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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
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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
About the author
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