Answer & Solution
Answer: Option C
Solution:
Option A: Improved memory efficiency.
This option is a well-known benefit of using generators. Generators produce values lazily, meaning they only generate values when requested, rather than storing all values in memory at once. This lazy evaluation mechanism results in improved memory efficiency, especially when dealing with large datasets or infinite sequences.
Option B: Faster execution than loops.
This option is not correct because generators do not inherently execute faster than loops. In fact, due to the additional functionality they provide, such as suspending and resuming execution with each
yield statement, generators might introduce a slight overhead. While generators offer other benefits like improved memory efficiency and lazy evaluation, faster execution compared to loops is not one of them.
Option C: Easier debugging.
This option is incorrect. Debugging generator functions can be more challenging compared to debugging regular functions or loops. The flow of execution in generator functions involves suspending and resuming with the
yield statement, which can make it harder to track. Additionally, debugging generator functions might require specialized techniques or tools to inspect the state of the generator object and the values yielded during iteration.
Option D: Lazy evaluation.
This option is actually a benefit of using generators. Generators support lazy evaluation, meaning they produce values on-demand as they are requested, rather than eagerly generating all values upfront. Lazy evaluation allows for efficient memory usage and can be particularly useful when working with large datasets or infinite sequences.
So, the correct answer is indeed
Option C: Easier debugging, as it does not align with the typical benefits associated with using generators.
