""" Lab 10: Iterators and Generators """
# Q3
def scale(s, k):
"""Yield elements of the iterable s scaled by a number k.
>>> s = scale([1, 5, 2], 5)
>>> type(s)
>>> list(s)
[5, 25, 10]
>>> m = scale(naturals(), 2)
>>> [next(m) for _ in range(5)]
[2, 4, 6, 8, 10]
"""
"*** YOUR CODE HERE ***"
# Q4
def trap(s, k):
"""Return a generator that yields the first K values in iterable S,
but raises a ValueError exception if any more values are requested.
>>> t = trap([3, 2, 1], 2)
>>> next(t)
3
>>> next(t)
2
>>> next(t)
ValueError
>>> list(trap(range(5), 5))
ValueError
>>> t2 = trap(map(abs, reversed(range(-6, -4))), 2)
>>> next(t2)
5
>>> next(t2)
6
>>> next(t2)
ValueError
"""
"*** YOUR CODE HERE ***"
# the naturals generator is used for testing scale and merge functions
def naturals():
"""A generator function that yields the infinite sequence of natural
numbers, starting at 1.
>>> m = naturals()
>>> type(m)
>>> [next(m) for _ in range(10)]
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
"""
i = 1
while True:
yield i
i += 1