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Python Programming - Generators

Exercise : Generators - General Questions
  • Generators - General Questions
81.
What happens if a generator function contains a return statement followed by a yield statement?
It raises a GeneratorExit exception
It raises a StopIteration exception
It returns the specified value and stops the generator
It is a syntax error; return and yield cannot be used together
Answer: Option
Explanation:
If a generator function contains both return and yield statements, it returns the specified value and stops the generator. 
def my_generator():
    return 42
    yield  # This statement is never reached

# Example usage
gen = my_generator()
result = next(gen, None)
print(result)  # Output: 42
82.
How does the itertools.cycle() function differ from using itertools.repeat() with a specified count when used with generators?
They are equivalent in functionality
itertools.cycle() repeats the elements of a generator indefinitely, while itertools.repeat() stops after a specified count
itertools.repeat() repeats the elements of a generator indefinitely, while itertools.cycle() stops after a specified count
itertools.cycle() raises a ValueError when used with generators
Answer: Option
Explanation:
itertools.cycle() repeats the elements of a generator indefinitely, while itertools.repeat() stops after a specified count. 
import itertools

gen = (1, 2, 3)
cycle_iterable = itertools.cycle(gen)
repeat_iterable = itertools.repeat(gen, times=3)

print(list(itertools.islice(cycle_iterable, 10)))   # Output: [1, 2, 3, 1, 2, 3, 1, 2, 3, 1]
print(list(repeat_iterable))                         # Output: [(1, 2, 3), (1, 2, 3), (1, 2, 3)]
83.
How does the itertools.groupby() function differ from collections.Counter() when used with generators?
They are equivalent in functionality
itertools.groupby() groups consecutive elements based on a key function, while collections.Counter() counts occurrences of each element
collections.Counter() groups consecutive elements based on a key function, while itertools.groupby() counts occurrences of each element
itertools.groupby() and collections.Counter() both raise a ValueError
Answer: Option
Explanation:
itertools.groupby() groups consecutive elements based on a key function, creating subgroups. collections.Counter() counts the occurrences of each element in the entire iterable.
84.
What is the purpose of the generator.send(value) method when used with generators?
It sends a value to the generator and resumes its execution
It stops the generator and raises a StopIteration exception
It raises a GeneratorExit exception
It has no effect on the running generator
Answer: Option
Explanation:
generator.send(value) sends a value into the generator, which is received as the result of the current yield expression, and resumes the generator's execution. 
def my_generator():
    result = yield
    print(f"Received value: {result}")

gen = my_generator()
next(gen)            # Start the generator
gen.send(42)         # Output: Received value: 42
85.
How does the itertools.dropwhile() function differ from itertools.filterfalse() when used with generators?
They are equivalent in functionality
itertools.dropwhile() skips elements until a specified condition becomes false, while itertools.filterfalse() filters elements based on a false condition
itertools.filterfalse() skips elements until a specified condition becomes false, while itertools.dropwhile() filters elements based on a false condition
itertools.dropwhile() and itertools.filterfalse() both raise a ValueError
Answer: Option
Explanation:
itertools.dropwhile() skips elements until a specified condition becomes false, while itertools.filterfalse() filters elements based on a false condition.
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