Reputation: 236
I want to enumerate all possible products of some integer factors, only up to some maximum value:
P((2, 3, 11), 10)
would return (2, 3, 4, 6, 8, 9)
.P((5, 7, 13), 30)
would return (5, 7, 13, 25)
.This seems like a tree traversal where the branches stop growing once reaching the maximum, but I don't know what the bound is on the number of branches. What algorithm or idiom is recommended for this problem? the closest thing I have seen so far is itertools.product()
, which seems to set a fixed number of terms per output set (e.g. 2).
For context, I am trying to inspect the numbers that are coprime to n. in this case n itself is the upper limit and the list of factors are those of n. I tried to generalize the question a bit above.
Upvotes: 5
Views: 452
Reputation: 29804
The idea to use only itertools
with tuple (2,3,4) for example:
Have multiple cartesian products:
(2,),(3,),(4,) # repeat 1
(2, 2), (2, 3), (2, 4), (3, 2), (3, 3), (3, 4), (4, 2), (4, 3), (4, 4) # repeat 2
...
For each of this tuple, use reduce
with operator.mul
and starting value 1, to multiply them:
reduce(operator.mul, tuple, 1)
This will yield the multiplications for level 2 cartesian's product:
[reduce(operator.mul,t,3) for t in itertools.product((1,2,3),repeat=2)]
>>>[3, 6, 9, 6, 12, 18, 9, 18, 27]
Now, we need to increase repeat
until a stop condition is met, say: every multiplication will yield a result larger than the top
. Since the samllest value that counts is 2
(because 1
times 1
many times is just 1 so it wont count) we can multiply 2 times x while is lower than top
. So: top/2 = x
, means that we can iterate through range(1,top/2)
:
[reduce(operator.mul,t,1) for c in range(1,10/2) for t in itertools.product((1,2,3),repeat=2) if reduce(operator.mul, t, 1) < 10]
This will yield repeated values, so let's convert them in a set:
set([reduce(operator.mul,t,1) for c in range(1,10/2) for t in itertools.product((1,2,3),repeat=2) if reduce(operator.mul, t, 1) < 10])
Using only itertools
may be cumbersome for this, but the solution seems pretty. I'm sure it can be optimized by introducing a better stop condition. The final code would look like this:
NOTE: There's a theorem for prime numbers that will allow you to optimize the stop condition to math.sqrt(top)
import math
def f(t,m):
return set([reduce(operator.mul, t1, 1) for c in range(1,int(math.sqrt(m)) for t1 in itertools.product(t,repeat=c) if reduce(operator.mul,t1,1) < m])
f((2,3,4),10)
>>>set([2, 3, 4, 6, 8, 9])
Hope this might give you another idea :)
Upvotes: 0
Reputation: 4527
I like this method, which involves multiplying 1 by all the elements in the input list, then multiplying all the results by the elements in the input list, etc. until the limit is reached.
def signature_seq(signature, limit):
products = set((1,))
for factor in signature:
new_products = set()
for prod in products:
x = factor * prod
while x <= limit:
new_products.add(x)
x *= factor
products.update(new_products)
products.remove(1)
return products
This should do what you want:
>>> print(sorted(signature_seq((2, 3, 11), 10)))
[2, 3, 4, 6, 8, 9]
>>> print(sorted(signature_seq((5, 7, 13), 30)))
[5, 7, 13, 25]
By the way, if given a list of consecutive primes starting with 2, this is a smooth number generator.
Upvotes: 3
Reputation: 59168
Here's a solution using a generator (and itertools.count
):
from itertools import count
def products(numbers, limit):
numbers = set(numbers) # needs a set to pop from, not a tuple
while numbers:
n = numbers.pop()
for r in (n ** e for e in count(1)):
if r > limit:
break
yield r
for p in products(numbers, limit / r):
yield r * p
Since it is a generator, it returns an iterator - and the results aren't sorted, so for the specific output you want, you'd call it like this:
>>> sorted(products((2, 3, 11), 10))
[2, 3, 4, 6, 8, 9]
>>> sorted(products((5, 7, 13), 30))
[5, 7, 13, 25]
Upvotes: 2