dpss 0.10.4

Solves subset sum problem and returns a set of decomposed integers. It also can match corresponding numbers from two vectors and be used for Account reconciliation.

Subset Sum(dpss)

This is a Rust implementation that calculates subset sum problem using dynamic programming. It solves subset sum problem and returns a set of decomposed integers. It also can match corresponding numbers from two vectors and be used for Account reconciliation.

Python implementation is also available.

dpss is short for dynamic programming subset sum.

Links

Name	URL
github	https://github.com/europeanplaice/subset_sum
crates.io	https://crates.io/crates/subset_sum
docs.rs	https://docs.rs/subset_sum/latest/dpss/
pypi	https://pypi.org/project/dpss/

Installation

Binary files are provided on the Releases page. When you download one of these, please add it to your PATH manually.

Usage

Subset sum

First, you need to prepare a text file containing a set of integers like this

1
2
-3
4
5

and save it at any place.

Second, call subset_sum with the path of the text file and the target sum.

Example

Call subset_sum.exe num_set.txt 3
The executable's name subset_sum.exe would be different from your choice. Change this example along with your environment.

In this example, the output is
[[2, 1], [4, -3, 2], [5, -3, 1]]

Sequence Matcher (One-to-Many)

key.txt

3
5
7

targets.txt

1
5
-3
4
5
3

Call subset_sum.exe key.txt targets.txt

In this example, the output is

[([3], 3), ([5], 5), ([5, 4, -3, 1], 7)]
[([3], 3), ([4, 1], 5), ([5, 5, -3], 7)]
[([5, -3, 1], 3), ([5], 5), ([3, 4], 7)]

Sequence Matcher (Many-to-Many)

key.txt

1980
2980
3500
4000
1050

targets.txt

1950
2900
30
80
3300
200
3980
1050
20

Call subset_sum.exe key.txt targets.txt m2m

In this example, the output is

[([20, 30, 1050, 2900], [4000]), ([200, 3300], [3500]), ([80, 1950, 3980], [1050, 1980, 2980])]
[([20, 3980], [4000]), ([80, 2900], [2980]), ([30, 1950], [1980]), ([1050], [1050]), ([200, 3300], [3500])]
[([20, 3980], [4000]), ([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980]), ([200, 3300], [3500])]
[([20, 3980], [4000]), ([200, 3300], [3500]), ([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980])]
[([30, 1950], [1980]), ([80, 2900], [2980]), ([20, 3980], [4000]), ([200, 3300], [3500]), ([1050], [1050])]
[([30, 1950], [1980]), ([80, 2900], [2980]), ([200, 3300], [3500]), ([20, 3980], [4000]), ([1050], [1050])]
[([30, 1950], [1980]), ([80, 2900], [2980]), ([1050], [1050]), ([20, 3980], [4000]), ([200, 3300], [3500])]
[([80, 2900], [2980]), ([20, 3980], [4000]), ([1050], [1050]), ([200, 3300], [3500]), ([30, 1950], [1980])]
[([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980]), ([20, 3980], [4000]), ([200, 3300], [3500])]
[([200, 3300], [3500]), ([20, 30, 1050, 2900], [4000]), ([80, 1950, 3980], [1050, 1980, 2980])]
[([200, 3300], [3500]), ([20, 3980], [4000]), ([80, 2900], [2980]), ([30, 1950], [1980]), ([1050], [1050])]
[([1050], [1050]), ([30, 1950], [1980]), ([20, 3980], [4000]), ([80, 2900], [2980]), ([200, 3300], [3500])]

There are a lot of combinations!

Use in Python

installation

pip install dpss

Usage

import dpss
print(dpss.find_subset([1, -2, 3, 4, 5], 2))
>>> [[4, -2], [3, -2, 1]]


print(dpss.find_subset_fast_only_positive([1, 2, 3, 4, 5], 10)) 
>>> [[4, 3, 2, 1], [5, 3, 2], [5, 4, 1]]


print(dpss.sequence_matcher([3, 5, 7], [1, 5, -3, 4, 5, 3]))
>>> [[([3], 3), ([5], 5), ([5, 4, -3, 1], 7)], [([3], 3), ([4, 1], 5), ([5, 5, -3], 7)], [([5, -3, 1], 3), ([5], 5), ([3, 4], 7)]]


print(dpss.sequence_matcher_m2m([1980, 2980, 3500, 4000, 1050], [1950, 2900, 30, 80, 3300, 200, 3980, 1050, 20]))
>>>[[([20, 30, 1050, 2900], [4000]), ([200, 3300], [3500]), ([80, 1950, 3980], [1050, 1980, 2980])], [([20, 3980], [4000]), ([80, 2900], [2980]), ([30, 1950], [1980]), ([1050], [1050]), ([200, 3300], [3500])], [([20, 3980], [4000]), ([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980]), ([200, 3300], [3500])], [([20, 3980], [4000]), ([200, 3300], [3500]), ([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980])], [([30, 1950], [1980]), ([80, 2900], [2980]), ([20, 3980], [4000]), ([200, 3300], [3500]), ([1050], [1050])], [([30, 1950], [1980]), ([80, 2900], [2980]), ([200, 3300], [3500]), ([20, 3980], [4000]), ([1050], [1050])], [([30, 1950], [1980]), ([80, 2900], [2980]), ([1050], [1050]), ([20, 3980], [4000]), ([200, 3300], [3500])], [([80, 2900], [2980]), ([20, 3980], [4000]), ([1050], [1050]), ([200, 3300], [3500]), ([30, 1950], [1980])], [([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980]), ([20, 3980], [4000]), ([200, 3300], [3500])], [([200, 3300], [3500]), ([20, 30, 1050, 2900], [4000]), ([80, 1950, 3980], [1050, 1980, 2980])], [([200, 3300], [3500]), ([20, 3980], [4000]), ([80, 2900], [2980]), ([30, 1950], [1980]), ([1050], [1050])], [([1050], [1050]), ([30, 1950], [1980]), ([20, 3980], [4000]), ([80, 2900], [2980]), ([200, 3300], [3500])]]

Use in Rust

Cargo.toml

[dependencies]
subset_sum = "(version)"

Example

subset_sum = "0.8.0"

Subset sum

main.rs

use subset_sum::dp::find_subset;

fn main() {
    let result = find_subset(&mut vec![1, 2, 3, 4, 5], 6);
    println!("{:?}", result);
}

Output

[[3, 2, 1], [4, 2], [5, 1]]

Sequence Matcher (One-to-Many)

main.rs

use subset_sum::dp::sequence_matcher;

fn main() {
    let result = sequence_matcher(&mut vec![3, 5, 7], &mut vec![1, 5, -3, 4, 5, 3]);
    println!("{:?}", result);
}

Output

[
[([3], 3), ([5], 5), ([5, 4, -3, 1], 7)]
[([3], 3), ([4, 1], 5), ([5, 5, -3], 7)]
[([5, -3, 1], 3), ([5], 5), ([3, 4], 7)]
]

Sequence Matcher (Many-to-Many)

main.rs

use subset_sum::dp::sequence_matcher_m2m;

fn main() {
    let result = sequence_matcher_m2m(&mut vec![1980, 2980, 3500, 4000, 1050], &mut vec![1950, 2900, 30, 80, 3300, 200, 3980, 1050, 20], 10);
    println!("{:?}", result);
}

Output

[([20, 30, 1050, 2900], [4000]), ([200, 3300], [3500]), ([80, 1950, 3980], [1050, 1980, 2980])]
[([20, 3980], [4000]), ([80, 2900], [2980]), ([30, 1950], [1980]), ([1050], [1050]), ([200, 3300], [3500])]
[([20, 3980], [4000]), ([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980]), ([200, 3300], [3500])]
[([20, 3980], [4000]), ([200, 3300], [3500]), ([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980])]
[([30, 1950], [1980]), ([80, 2900], [2980]), ([20, 3980], [4000]), ([200, 3300], [3500]), ([1050], [1050])]
[([30, 1950], [1980]), ([80, 2900], [2980]), ([200, 3300], [3500]), ([20, 3980], [4000]), ([1050], [1050])]
[([30, 1950], [1980]), ([80, 2900], [2980]), ([1050], [1050]), ([20, 3980], [4000]), ([200, 3300], [3500])]
[([80, 2900], [2980]), ([20, 3980], [4000]), ([1050], [1050]), ([200, 3300], [3500]), ([30, 1950], [1980])]
[([80, 2900], [2980]), ([1050], [1050]), ([30, 1950], [1980]), ([20, 3980], [4000]), ([200, 3300], [3500])]
[([200, 3300], [3500]), ([20, 30, 1050, 2900], [4000]), ([80, 1950, 3980], [1050, 1980, 2980])]
[([200, 3300], [3500]), ([20, 3980], [4000]), ([80, 2900], [2980]), ([30, 1950], [1980]), ([1050], [1050])]
[([1050], [1050]), ([30, 1950], [1980]), ([20, 3980], [4000]), ([80, 2900], [2980]), ([200, 3300], [3500])]