A simple Python library to generate all combinations of possible splits for a stack with given height.
Project description
Stacksplit
A simple Python library to generate all combinations of possible splits for a stack with given height.
Introduction
This library aims to generate all possible combinations to split a given integer num
into a given number of parts; the sum of all those parts shall again be the given num
.
We wrote this simple library out of lack of such functionality needed in a lecture of our Computer Science BSc-Degree. The original use case was to calculate and solve extended versions of the NIM-game, where towers of coins could also be splitted into multpile smaller towers.
Usage
Be sure to have stacksplit installed.
Import stacksplit library:
import stacksplit
The function provided is split and is implemented as a Python-generator; it takes 2 (optionally 3) arguments:
num
: the Integer to be split upparts
: the number of partssmallest
: the smallest part shall be >= the given parameter. This parameter is optional and defaults to 1.
split(num, parts, smallest)
Each call returns a new tuple with a new combination with all elements summing up to num
.
look at doc_strings and comments in init and core for help
Examples
Simple usage
import stacksplit
for s in stacksplit.split(50, 3):
print(s)
Output:
(1, 1, 48)
(1, 2, 47)
...
More options
from stacksplit import split
for i in split(50, 3, 10):
print(i)
Output:
(10, 10, 30)
(10, 11, 29)
...
Extended usecases
smallest
can also be 0 or negative. The results will always sum up to num
.
from stacksplit import split
for i in split(5, 3, -1):
print(i)
Output:
(-1, -1, 7)
(-1, 0, 6)
(-1, 1, 5)
...
Performance
The library uses Python native generators to achieve the fast generation of results; however you have to understand that the problem itself is quite complex and the number of results will increment exponentially with higher values as parameters.
The following graphs visualize this growth of results.
Graph | Description |
---|---|
y-axis: number of result x-axis: the num parameter parts : constant 4 |
|
y-axis: number of results x-axis: the parts parameter num : constant |
Installation
This library can be installed via pip install stacksplit
.
Arch Linux
The AUR package will be named python-stacksplit
.
Testing
To run the tests for stacksplit:
- install pipenv (https://pypi.org/project/pipenv/)
- clone this repository
- in this repository run
pipenv install --dev
You may then use these:
- run normal tests:
pipenv run python setup.py test
- run tests with coverage:
pipenv run python setup.py test --coverage
- run tox tests:
pipenv run tox
(make sure you have interpreters for python - 3.4 to 3.7)
Note: It is possible to use a normal virtual environmet by installing the dev-dependencies from Pipfile by hand with pip. (For exact versions see Pipfile.lock)
Authors
- Micheal Oberrauch - bloor.mo@protonmail.com
- Felix Wallner - felix.wallner@protonmail.com
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file stacksplit-0.0.0.tar.gz
.
File metadata
- Download URL: stacksplit-0.0.0.tar.gz
- Upload date:
- Size: 46.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64eac9383e37e695b07dffec87c0edfae54bd201ab0cdabd00ceb689aa96b5e4 |
|
MD5 | 640ce9bacc9dfd321b6bf2a99da7f833 |
|
BLAKE2b-256 | d6c193e3beba162d4199f01c37e3328a5a48863fd819fff6bdbdd73b5f8718ff |
File details
Details for the file stacksplit-0.0.0-py2.py3-none-any.whl
.
File metadata
- Download URL: stacksplit-0.0.0-py2.py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e2b268bde1fea699664bb9c2798f7a2faa735d1b43eb3217ad0c1c4bd8b393b9 |
|
MD5 | 789ffb57503f7f068cfd0d1b97027677 |
|
BLAKE2b-256 | 32e673c3d028c545a2bc68386fd8fa94ad897eb4138fdae141dbbd3a93afb8f3 |