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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of the lru_cache decorator?
💡 Hint: Think about how caching is used in everyday scenarios.
Question 2
Easy
What does the maxsize parameter do in lru_cache?
💡 Hint: Consider what happens when the cache runs out of space.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is lru_cache in Python?
- A function
- A module
- A decorator
💡 Hint: Think about how you can optimize function performance using decorators.
Question 2
True or False: lru_cache can limit memory usage by determining how many results to cache.
- True
- False
💡 Hint: Recall how caching could impact memory efficiency.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a class-based implementation of a Fibonacci sequence generator using lru_cache.
💡 Hint: Think about how classes and methods can work together with decorators.
Question 2
Develop a function that uses lru_cache to optimize a function that counts the number of unique characters in a string.
💡 Hint: Consider how repetitive calls with different strings could result in repeated processing.
Challenge and get performance evaluation