Metadata-Version: 2.1
Name: Intrst-algrms
Version: 0.6.7
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
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
Requires-Dist: iteration-utilities
Requires-Dist: more-itertools
Provides-Extra: all
Requires-Dist: Sphinx ; extra == 'all'
Requires-Dist: memory-profiler ; extra == 'all'
Requires-Dist: matplotlib ; extra == 'all'
Provides-Extra: docs
Requires-Dist: Sphinx ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: memory-profiler ; extra == 'tests'
Requires-Dist: matplotlib ; extra == 'tests'

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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

```bash
    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](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 tree_sort.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

