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Python Programming - Generators

Exercise : Generators - General Questions
  • Generators - General Questions
26.
How does the itertools.zip_longest() function behave when used with generators?
It creates pairs of values from the generators
It combines values from the generators until the shortest one is exhausted
It stops the generators after one iteration
It interleaves values from different generators
Answer: Option
Explanation:
itertools.zip_longest() combines values from multiple generators until the shortest generator is exhausted. It fills missing values with a specified fill value.
27.
What does the generator.throw(ExceptionType, value) method do?
It raises a custom exception inside the generator
It raises a StopIteration exception
It initializes the generator with the provided value
It has no effect on the generator
Answer: Option
Explanation:
generator.throw(ExceptionType, value) raises a custom exception of type ExceptionType with the specified value inside the generator.
28.
What is the purpose of the generator.__iter__() method?
It returns the iterator object associated with the generator
It initializes the generator
It returns the generator itself
It is not a valid method for generators
Answer: Option
Explanation:
generator.__iter__() returns the generator itself. Generators are their own iterators in Python.
29.
How can you implement a generator that produces a sequence of prime numbers?
Using a loop with a yield statement and a prime-checking function
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 prime numbers can be implemented using a loop with a yield statement and a function to check for prime numbers.
30.
What is the purpose of the itertools.groupby() function when used with generators?
It groups consecutive equal elements from the generator
It interleaves values from different generators
It stops the generator after one iteration
It creates pairs of values from the generators
Answer: Option
Explanation:
itertools.groupby() groups consecutive equal elements from the generator based on a key function.
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