ExamAdept

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

A:

They are equivalent in functionality

B:

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

C:

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

D:

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

Answer: C

generator.__iter__() returns the generator itself, treating the generator as its own iterator. iter() returns a new iterator object for the generator.

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

A:

It groups consecutive equal elements from the generator

B:

It interleaves values from different generators

C:

It stops the generator after one iteration

D:

It creates pairs of values from the generators

Answer: A

itertools.groupby() groups consecutive equal elements from the generator based on a key function.

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How can you implement a generator that produces a sequence of prime numbers?

A:

Using a loop with a yield statement and a prime-checking function

B:

By calling a recursive function with yield

C:

Using a list comprehension with yield

D:

By using the itertools.cycle() function

Answer: A

A generator for a sequence of prime numbers can be implemented using a loop with a yield statement and a function to check for prime numbers.

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What is the purpose of the generator.__iter__() method?

A:

It returns the iterator object associated with the generator

B:

It initializes the generator

C:

It returns the generator itself

D:

It is not a valid method for generators

Answer: C

generator.__iter__() returns the generator itself. Generators are their own iterators in Python.

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What does the generator.throw(ExceptionType, value) method do?

A:

It raises a custom exception inside the generator

B:

It raises a StopIteration exception

C:

It initializes the generator with the provided value

D:

It has no effect on the generator

Answer: A

generator.throw(ExceptionType, value) raises a custom exception of type ExceptionType with the specified value inside the generator.

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Questions for: Generators