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Python Programming - Generators

Exercise : Generators - General Questions
  • Generators - General Questions
16.
What is the purpose of the itertools.islice() function when used with generators?
It slices a generator into specified ranges
It checks if a generator is iterable
It initializes the generator function
It generates an infinite sequence of numbers
Answer: Option
Explanation:
itertools.islice() is used to slice a generator into specified ranges. It allows you to extract a portion of the generator's elements without consuming the entire sequence.
17.
In Python, what happens if a generator function contains an infinite loop?
The generator will raise a RuntimeError
The program will go into an infinite loop
The generator will only produce a single value
The generator will continue to yield values indefinitely
Answer: Option
Explanation:
If a generator function contains an infinite loop, it will continue to yield values indefinitely, and you need to handle stopping the iteration explicitly.
18.
What is the primary advantage of using the yield statement in a generator over returning a list?
Generators allow for random access of elements
Generators consume less memory compared to lists
Generators are faster in execution
Generators automatically handle exceptions
Answer: Option
Explanation:
Generators are memory-efficient as they produce values on-the-fly and do not store the entire sequence in memory. This makes them suitable for handling large datasets or infinite sequences without using excessive memory.
19.
In Python, what does the generator.throw() method do?
It throws an exception inside the generator
It forcibly terminates the generator
It throws an exception outside the generator
It initializes the generator
Answer: Option
Explanation:
generator.throw() is used to throw an exception inside the generator. This can be useful for handling specific conditions within the generator.
20.
How does the itertools.cycle() function behave when used with a generator?
It creates an infinite sequence of repeated values from the generator
It generates a single iteration from the generator
It stops the generator after one complete cycle
It shuffles the values produced by the generator
Answer: Option
Explanation:
itertools.cycle() creates an infinite sequence of repeated values. When used with a generator, it continuously cycles through the values produced by the generator.
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