Instruments and algorithms
Here is examples of realizations several algorithms, they performance, memory used and result plots.
Getting Started
Requirements
Python 3.6+
Installing
python3 -m venv env
source env/bin/activate
For check and research
pip install -e git+https://github.com/Niccolum/intrst_algrms#egg=Intrst_algrms['all']
cd env/src/intrst_algrms
Note
For check memory tests - install line_profiler manually. This package not include to install because of problem with installation. Details here
After that you can run commands from results.md on each folders.
More detailed description and HOW-TO:
Results of research algorithms here:
For use funcs in your own code you can install package from PYPI
pip install Intrst_algrms
and import it from your code:
from tree_sort.funcs import ...
from knapsack_problem.funcs import ...
from unpacking_flatten_lists.funcs import ...
Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Dev
For developers info here.
Authors
- Nikolai Vidov - maintainer - Niccolum
License
This project is licensed under the MIT License - see the LICENSE.md file for details
1 maintainer
Metadata
1 maintainer
Release files for Intrst-algrms 0.7.2
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