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Python Programming - Generators

Exercise : Generators - General Questions
  • Generators - General Questions
21.
How does the itertools.chain() function behave when used with generators?
It creates a chain of generators
It concatenates multiple generators into a single iterator
It interleaves values from different generators
It stops the generators after one iteration
Answer: Option
Explanation:
itertools.chain() concatenates multiple generators into a single iterator. It produces values from each generator in sequence until all generators are exhausted.
22.
What is the purpose of the generator.send(None) expression?
It sends a None value to the generator
It initializes the generator
It restarts the generator from the beginning
It resumes the generator's execution from the last yield
Answer: Option
Explanation:
generator.send(None) is used to resume the execution of a generator from the last yield statement. It is equivalent to calling next(generator).
23.
What is the purpose of the generator.__next__() method?
It returns the next value from the generator
It initializes the generator
It raises a StopIteration exception
It is not a valid method for generators
Answer: Option
Explanation:
generator.__next__() is used to manually retrieve the next value from a generator. It is equivalent to calling next(generator).
24.
What happens if a generator function contains a return statement with a value?
It terminates the generator with an empty result
It raises a GeneratorExit exception
It raises a StopIteration exception
It raises a RuntimeError
Answer: Option
Explanation:
If a generator function contains a return statement with a value, it will raise a StopIteration exception to indicate the end of the iteration.
25.
In Python, what is the purpose of the itertools.tee() function when used with generators?
It creates a copy of the generator
It splits a generator into multiple iterators
It interleaves values from different generators
It terminates the generator
Answer: Option
Explanation:
itertools.tee() is used to split a generator into multiple independent iterators. Each iterator will yield the same values as the original generator.
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