Now that MITx first test is over, I got feeling that this one task requested for generate and test solution is begging also for less efficient recursive solution as it is so simple. Here it is! Single liner aproved by the released grader! If you wander if you are able to buy exactly n nuggets by boxes of 6, 9 or 20 nuggets each, it tells the answer. It does not tell you how heavy your shopping bags would be and how many geeks you need to eat them ;) This recursive version can not deal with 1000000 nuggets (using modulo and nuggets2, you can find that also), but it can tell you that it is possible to get 10001 nuggets. The included iterative count telling version can tell you that it can be manged by 499 twenties, 1 niners and 2 sixes.
Recursive and iterative nuggets
def nuggets_counts(n):
"""
n is an int
Returns tupple of number of twenties, niners and sixpacks if some integer combination of 6, 9 and 20 equals n
Otherwise returns empty tupple.
"""
for twenties in reversed(range(n // 20 +1)):
left = n - 20 * twenties
if left == 0:
return twenties, 0, 0
for niners in reversed(range(left // 9 +1)):
left2 = left - niners * 9
if left2 % 6 == 0:
return twenties, niners , left2 // 6
return ()
def nuggets(n):
""" n int -> True if can be ordered with 6, 9, 20 pack combination else False
"""
return n >= 0 and (n == 0 or (nuggets(n - 20) or nuggets(n - 9) or nuggets(n - 6)))
def nuggets2(n):
""" n int -> True if can be ordered with 6, 9, 20 pack combination else False
"""
return n >= 0 and (any(n % size == 0 for size in (6, 9, 20)) or (nuggets2(n - 20) or nuggets2(n - 9) or nuggets2(n - 6)))
def nug(a,b,c):
return 6*a + 9*b + 20*c
for t in (60, 15, 16, 19, 18, 10001):
result = nuggets_counts(t)
print 'Recursively:', nuggets(t)
if not result:
print t, 'not possible but you can'
t, result = next((t + more, nuggets_counts(t + more)) for more in range(1, 6) if nuggets_counts(t+more))
print 'buy {t}: {result[0]} twenties, {result[1]} niners and {result[2]} sixpacks.'.format(t=t, result=result)
print
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