Metadata-Version: 2.1
Name: Intrst-algrms
Version: 0.4.17
Summary: https://intrst-algrms.readthedocs.io/en/latest/
Home-page: https://pypi.org/project/Intrst-algrms/
Author: Nikolai Vidov
Author-email: lastsal@mail.ru
License: MIT
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        # Instruments and algorithms
        
        Here is examples of realizations several algorithms, they performance, memory used and result plots.
        
        ## Getting Started
        
        ### Requirements
        
        Python 3.6+
        
        ### Installing
        
        ```bash
        python3 -m venv env
        source env/bin/activate
        ```
        
        ##### For check and research you must do:
        
        ```bash
        pip install -e git+https://github.com/Niccolum/intrst_algrms#egg=Intrst_algrms
        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](https://github.com/rkern/line_profiler#installation)*
        
        After that you can run commands from results.md on each folders.
        
        More detailed description and HOW-TO:
        
        Results of research algorithms here:
        * [Binary Tree (sorting)](https://github.com/Niccolum/intrst_algrms/blob/master/binary_tree/results.md)
        * [Knapsack problem](https://github.com/Niccolum/intrst_algrms/blob/master/knapsack_problem/results.md)
        * [Unpacking nested lists of indefinite depth](https://github.com/Niccolum/intrst_algrms/blob/master/unpacking_flatten_lists/results.md)
        
        ##### For use funcs in your own code you can install package from PYPI:
        
        ```bash
        pip install Intrst_algrms
        ```
        
        and import it from your code:
        ```python
        from binary_tree.funcs import ...
        from knapsack_problem.funcs import ...
        from unpacking_flatten_lists.funcs import ...
        ```
        
        More, about funcs, in [docs](https://intrst-algrms.readthedocs.io/en/latest/)
        
        ## Contributing
        
        Please read [CONTRIBUTING.md](https://github.com/Niccolum/intrst_algrms/blob/master/CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.
        
        ## Dev
        
        For developers info [here](https://github.com/Niccolum/intrst_algrms/blob/master/README-DEV.md).
        
        ## Authors
        
        * **Nikolai Vidov** - *maintainer* - [Niccolum](https://github.com/Niccolum)
        
        ## License
        
        This project is licensed under the MIT License - see the [LICENSE.md](https://github.com/Niccolum/intrst_algrms/blob/master/LICENSE.md) file for details
Keywords: example documentation algorithms
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
