First of all, I apologise for the title, I did not know how to put my problem in words. Well, here it is:
For an integer a
greater than 1, let F
be a sorted list of prime factors of a
. I need to find all tuples c
(filled with whole numbers), such that length of each tuple is equal to the size of F
and (F[0] ** c[0]) * (F[1] ** c[1]) * (...) < a
. I should add that I write in Python.
Example:
a = 60
F = [2,3,5]
# expected result:
C = {(0, 0, 0), (0, 0, 1), (0, 0, 2), (0, 1, 0), (0, 1, 1), (0, 2, 0),
(0, 2, 1), (0, 3, 0), (1, 0, 0), (1, 0, 1), (1, 0, 2), (1, 1, 0), (1, 1, 1),
(1, 2, 0), (1, 3, 0), (2, 0, 0), (2, 0, 1), (2, 1, 0), (2, 2, 0), (3, 0, 0),
(3, 0, 1), (3, 1, 0), (4, 0, 0), (4, 1, 0), (5, 0, 0)}
I generated this result using itertools.product()
, specifically:
m = math.floor(round(math.log(a, min(F)), 12))
for i in itertools.product(range(m + 1), repeat=len(F)):
if math.prod([F[j] ** i[j] for j in range(len(F))]) < a: print(i)
I think it works but it's inefficient. For example number 5 appears only in one tuple, but was checked many more times! Is there any way to make it faster? I would use multiple while
loops (with break
statements) but since I don't know what is the length of F, I don't think that is possible.
You base all your range
limits on just min(F)
. Let's customize each to the log(a, factor)
to reduce the cases:
from math import ceil, log, prod
from itertools import product
a = 60
F = [2, 3, 5]
ranges = [range(0, ceil(log(a, factor))) for factor in F]
C = []
for powers in product(*ranges):
if prod(F[i] ** power for i, power in enumerate(powers)) < a:
C.append(powers)
print(C)
By my measure, your code generates 216 test cases to come up with 25 results, but the above code only generates 1/3 of those test cases.