IndiaBIX

Python Programming - Generators

Exercise : Generators - General Questions
  • Generators - General Questions
51.
What is the purpose of the itertools.tee() function when used with generators?
It creates an exact copy of the generator
It filters elements based on a specified condition
It stops the generator after one iteration
It interleaves values from different generators
Answer: Option
Explanation:
itertools.tee() creates an exact copy of the generator, allowing multiple independent iterators over the same sequence.
52.
How does the generator.__next__() method differ from next(generator) when used with a generator?
They are equivalent in functionality
generator.__next__() is not a valid method for generators
generator.__next__() is used to get the next value, while next(generator) is used to restart the generator
next(generator) is used to get the next value, while generator.__next__() is used to restart the generator
Answer: Option
Explanation:
generator.__next__() and next(generator) are equivalent methods for getting the next value from a generator.
53.
What happens if a generator function contains a yield from iterable statement?
It yields each value from the iterable, delegating to it
It raises a StopIteration exception
It yields the entire iterable as a single value
It is a syntax error; yield from cannot be used with generators
Answer: Option
Explanation:
yield from iterable delegates the yielding to the iterable, yielding each value from the iterable.
54.
How does the generator.__iter__() method differ from the iter(generator) built-in function when applied to a generator?
They are equivalent in functionality
generator.__iter__() returns a new iterator, while iter(generator) returns the generator itself
iter(generator) returns a new iterator, while generator.__iter__() returns the generator itself
generator.__iter__() is used for generators, and iter(generator) is used for other iterable objects
Answer: Option
Explanation:
generator.__iter__() returns a new iterator object for the generator, while iter(generator) returns the generator itself.
55.
What is the purpose of the itertools.dropwhile() function when used with generators?
It drops the first element from the generator
It skips elements until a certain condition is true
It stops the generator after one iteration
It filters elements based on a specified condition
Answer: Option
Explanation:
itertools.dropwhile() skips elements from the generator until the specified condition becomes true, after which it yields the remaining elements.
Quick links
Quantitative Aptitude
Verbal (English)
Reasoning
Programming
Interview
Placement Papers