ExamAdept

What is the purpose of the next() function when working with generators?

A:

It generates the next random number

B:

It retrieves the next element from the generator

C:

It initializes the generator function

D:

It terminates the generator

Answer: B

The next() function is used to retrieve the next element produced by a generator. It advances the generator's state and returns the value generated by the yield statement.

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What is the primary advantage of using generators?

A:

Generators consume less memory compared to lists

B:

Generators can only produce infinite sequences

C:

Generators allow for random access of elements

D:

Generators are faster than regular functions

Answer: A

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.

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What happens when a generator function encounters the yield keyword?

A:

The function terminates immediately

B:

The value is returned, and the function's state is saved

C:

The function raises an exception

D:

The function restarts from the beginning

Answer: B

When a generator function encounters the yield keyword, it returns the specified value and saves its state. The next time the generator is called, it resumes execution from where it left off.

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How can you create a generator object?

A:

Using the new_generator() constructor

B:

By calling a generator function with gen_func()

C:

Using the Generator() class

D:

By applying the yield keyword in any function

Answer: B

A generator object is created by calling a generator function using its name followed by parentheses, such as gen_func().

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How is a generator function different from a regular function?

A:

Generator functions use the keyword yield to produce a sequence of values

B:

Regular functions use the keyword yield for lazy evaluation

C:

Generator functions use the keyword return to produce a sequence of values

D:

Regular functions use the keyword yield for immediate value generation

Answer: A

Generator functions in Python use the yield keyword to produce a sequence of values. When a generator function is called, it returns a generator object that can be iterated over to get values one at a time.

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Questions for: Generators