partiton
is a Python algorithm library which provides efficient algorithms for the number partition problem. You can also use it from shell command. These algorithms have many applications. One typical one is for parallel software testing. Currently, the following three algorithms are supported:
- greedy algorithm, which is a benchmark algorithm with simple login
- differencing algorithm, a.k.a. Karmarkar–Karp(KK) algorithm
- dynamic programming(DP) algorithm, which is optimal for scenarios where the size of integers is not too large
Use pip:
pip install partition
From source code:
python setup.py develop
Get help:
partition -h
Query version:
partition --version
Available options:
usage: partition [-h] [--numbers NUMBERS] [--grouplen GROUPLEN]
[--algorithm {greedy,kk,dp}] [--version]
optional arguments:
-h, --help show this help message and exit
--numbers NUMBERS integer numbers to be partitioned, seperated by comma
--grouplen GROUPLEN length of groups to hold the partitioned integer
numbers, default is 2
--algorithm {greedy,kk,dp}
select partition algorithms, available options are
greedy, kk and dp
--version print version
For example:
root@foo:~# partition --numbers 1,2,3,4,5 --grouplen 2 --algorithm greedy
Partition 1,2,3,4,5 into 2 groups, using algorithm: greedy
Group: 0, numbers: [5, 2, 1]
Group: 1, numbers: [4, 3]
Min group sum: 7, Max group sum: 8, difference: 1
Group(s) with min sum: [4, 3]
Group(s) with max sum: [5, 2, 1]
([[5, 2, 1], [4, 3]], 1)
In [1]: import partition
In [2]: partition.partition.__version__
Out[2]: '0.1.0'
In [3]: partition.greedy.greedy([1,2,3,4,5], 2)
Out[3]: [[5, 2, 1], [4, 3]]
In [4]: partition.kk.kk([1,2,3,4,5], 2)
Out[5]: [[5, 3], [1, 2, 4]]
MIT
This tool is developed by slxiao. You are welcome to raise any issues about the tool.