How do I calculate a sum of individual values that fit in a range using the least amount of datums

Question

I am trying to calculate a way to find a sum of numbers that fit into a range using the least amount of data and reach as close to the upper limit as possible. The upper limit receives priority.

individualValues = {0.07, 0.1, 0.15, 0.25, 0.33, 0.45, 0.6 , 1.2}
lowerLimit = 0.8
UpperLimit = 1

A good result to this question would be one as close to the upper limit as possible using the least amount of values. I.E
answer = {0.07, 0.6, 0.33}

Asked By: Marcus

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Source

Answer 1

Do the values need to be in a set? If not you can put them in a list and then do a for loop to pull values greater than .8 and less than 1 and put them in a new value list

Answered By: Vanderploeg19

Answer 2

There’s probably a far superior mathematical approach but this seems to work:

from itertools import combinations

values = [0.07, 0.1, 0.15, 0.25, 0.33, 0.45, 0.6 , 1.2]
lowerLimit = 0.8
UpperLimit = 1.0
result = None

for m in range(len(values), 0, -1):
    for combo in combinations(values, m):
        if lowerLimit <= (sc := sum(combo)) <= UpperLimit:
            if result is None or (sc > sr and len(result) > m):
                result = combo
                sr = sc
                
print(result)

Output:

(0.07, 0.33, 0.6)

Answered By: Vlad

How do I calculate a sum of individual values that fit in a range using the least amount of datums

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