Python Programming - Generators

Exercise : Generators - General Questions
  • Generators - General Questions
31.
How does the generator.__iter__() method differ from the iter() built-in function when applied to a generator?
They are equivalent in functionality
generator.__iter__() is not a valid method for generators
generator.__iter__() returns the generator itself, while iter() returns a new iterator
iter() is used for generators, and generator.__iter__() is used for other iterable objects
Answer: Option
Explanation:
generator.__iter__() returns the generator itself, treating the generator as its own iterator. iter() returns a new iterator object for the generator.

32.
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, allowing you to extract a portion of the generator's elements without consuming the entire sequence.

33.
How can you implement a generator that produces a sequence of powers of 2?
Using a loop with a yield statement
By calling a recursive function with yield
Using a list comprehension with yield
By using the itertools.cycle() function
Answer: Option
Explanation:
A generator for a sequence of powers of 2 can be implemented using a loop with a yield statement.

34.
How does the generator.send(value) method differ from next(generator) when used with a generator?
They are equivalent in functionality
generator.send(value) initializes the generator, while next(generator) retrieves the next value
next(generator) can be used without a value, while generator.send(value) requires a value
generator.send(value) returns the value sent, while next(generator) does not
Answer: Option
Explanation:
next(generator) can be used without providing a value, while generator.send(value) requires a value to be sent into the generator.

35.
What does the itertools.permutations() function do when used with a generator?
It generates all possible permutations of the elements in the generator
It returns a single permutation of the elements
It stops the generator after one iteration
It shuffles the values produced by the generator
Answer: Option
Explanation:
itertools.permutations() generates all possible permutations of the elements in the generator.