Practice Lru_cache (6.4.2) - Chapter 6: Functional Programming Tools in Python

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6 sample questions

Question 1.
What is the purpose of the lru_cache decorator?
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Think about how caching is used in everyday scenarios.
Question 2.
What does the maxsize parameter do in lru_cache?
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Consider what happens when the cache runs out of space.
3Question 3.
What is lru_cache in Python?
- A function
- A module
- A decorator
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Think about how you can optimize function performance using decorators.
4Question 4.
True or False: lru_cache can limit memory usage by determining how many results to cache.
- True
- False
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Recall how caching could impact memory efficiency.
Question 5.
Create a class-based implementation of a Fibonacci sequence generator using lru_cache.
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Think about how classes and methods can work together with decorators.
Question 6.
Develop a function that uses lru_cache to optimize a function that counts the number of unique characters in a string.
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Consider how repetitive calls with different strings could result in repeated processing.

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