ExamAdept

How does the generator.close() method affect a running generator?

A:

It restarts the generator

B:

It terminates the generator by raising a GeneratorExit exception

C:

It pauses the generator's execution temporarily

D:

It has no effect on the running generator

Answer: B

Calling generator.close() terminates the running generator by raising a GeneratorExit exception. This allows for cleanup operations before the generator is fully closed. -PROGCODE-

def my_generator():
    try:
        while True:
            yield 1
    except GeneratorExit:
        print("Generator closed")

gen = my_generator()
next(gen)
gen.close()

-PROGCODE-END-

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How does the generator.__iter__() method differ from the iter(generator) built-in function when applied to a generator?

A:

They are equivalent in functionality

B:

generator.__iter__() returns a new iterator, while iter(generator) returns the generator itself

C:

iter(generator) returns a new iterator, while generator.__iter__() returns the generator itself

D:

generator.__iter__() is used for generators, and iter(generator) is used for other iterable objects

Answer: B

generator.__iter__() returns a new iterator object for the generator, while iter(generator) returns the generator itself.

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What happens if a generator function contains a yield from iterable statement?

A:

It yields each value from the iterable, delegating to it

B:

It raises a StopIteration exception

C:

It yields the entire iterable as a single value

D:

It is a syntax error; yield from cannot be used with generators

Answer: A

yield from iterable delegates the yielding to the iterable, yielding each value from the iterable.

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How does the generator.__next__() method differ from next(generator) when used with a generator?

A:

They are equivalent in functionality

B:

generator.__next__() is not a valid method for generators

C:

generator.__next__() is used to get the next value, while next(generator) is used to restart the generator

D:

next(generator) is used to get the next value, while generator.__next__() is used to restart the generator

Answer: A

generator.__next__() and next(generator) are equivalent methods for getting the next value from a generator.

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What is the purpose of the itertools.tee() function when used with generators?

A:

It creates an exact copy of the generator

B:

It filters elements based on a specified condition

C:

It stops the generator after one iteration

D:

It interleaves values from different generators

Answer: A

itertools.tee() creates an exact copy of the generator, allowing multiple independent iterators over the same sequence.

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Questions for: Generators