Metadata-Version: 2.1
Name: lightmorphic
Version: 0.0.1
Summary: Lightmorphic signatures analysis toolkit (LSAT)
Author-email: Dumitru Damian <contact@vru.ro>
License: MIT License
        
        Copyright (c) 2023 Dumitru Damian. All rights reserved.
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://www.vru.ro/articole_2020.html
Keywords: lightmorphic,spatiotemporal,spectrogram,,graph chord,neural network
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science 
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Environment :: Web Environment
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE

Lightmorphic signatures analysis toolkit (LSAT).
================================================

**Spatiotemporal lightmorphic computing**

The Python implementation of the `Spatiotemporal lightmorphic computing for Carpathian roads (2021) <http://dx.doi.org/10.4108/eai.27-4-2021.169422>`_ and it's continuation `Lightmorphic Signatures Analysis Toolkit (2022) <https://doi.org/10.48550/arXiv.2301.00281>`_. 

In addition to providing a core functionality, the software package enables specific optimizations with its modular and customizable design.

With the provided mathematical functions, LSAT validates the nonlinearity encountered in the data conversion process while ensuring suitability of the forecasting algorithms.

Attribution
-----------

If you use this software for your research, please also cite `Damian (2021) <http://dx.doi.org/10.4108/eai.27-4-2021.169422>`_. The BibTeX entry for the paper is::
	@ARTICLE{10.4108/eai.27-4-2021.169422,
	    author={Dumitru Damian},
	    title={Spatiotemporal lightmorphic computing for Carpathian roads},
	    journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
	    volume={7},
	    number={23},
	    publisher={EAI},
	    journal_a={CASA},
	    year={2021},
	    month={4},
	    keywords={Carpathians, BH1750, framework, patterns, lightmorphic, Arduino, Spatiotemporal},
	    doi={10.4108/eai.27-4-2021.169422}}

and also: `Damian (2022) <https://doi.org/10.48550/arXiv.2301.00281>`_. The BibTeX entry for the paper is::

	@misc{damian2022lightmorphic,
	      title={Lightmorphic Signatures Analysis Toolkit}, 
	      author={D. Damian},
	      year={2022},
	      eprint={2301.00281},
	      archivePrefix={arXiv},
	      primaryClass={cs.LG}}

Installation
------------

In a command window, check your installed Python and pip versions.
For Unix systems:: 

	python3 --version
	python3 -m pip --version

For Windows systems:: 

	py --version
	py -m pip --version

If everything checks, type::

    pip install lightmorphic

or, only for selected users, without writing access to the global ``site-packages`` directory::

    pip install --user lightmorphic

Usage Example
-------------

To be added.




