semvec/pypi-packages huggingface dataset:
FiberPhotometryDataAnalysis 0.0.9
A package for analysis of multi-fiber photmetry data and behaviour.
License: MIT
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*

========
Overview
========

A package for analysis of multi-fiber photmetry data and behaviour.

* Free software: MIT license

Installation
============

::

    pip install FiberPhotometryDataAnalysis

You can also install the in-development version with::

    pip install git+ssh://git@https://github.com/katemartian/FiberPhotometryDataAnalysis.git@master

Documentation
=============


https://FiberPhotometryDataAnalysis.readthedocs.io/


Development
===========

To run all the tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox


Changelog
=========

0.0.1 (2021-06-17)
------------------

* First release on PyPI.
descriptools 1.0.3
A gpu-based toolbox for terrain descriptor calculation/delineation
License: MIT
Keywords: hidrology,gis,flood

<!-- PROJECT LOGO -->
<br />
<p align="center">
  <h2 align="center">descriptools</h2>
  <p align="center">
    A gpu-based toolbox for terrain descriptor calculation/delineation.
    <br />
    Â·
    <a href="https://github.com/github_username/repo_name/issues">Report Bug</a>
    Â·
    <a href="https://github.com/github_username/repo_name/issues">Request Feature</a>
  </p>
</p>
<br />



<!-- TABLE OF CONTENTS -->
<details open="open">
  <summary><h2 style="display: inline-block">Table of Contents</h2></summary>
  <ol>
    <li>
      <a href="#about-the-project">About The Project</a>
      <ul>
        <li><a href="#built-with">Built With</a></li>
      </ul>
    </li>
    <li>
      <a href="#getting-started">Getting Started</a>
      <ul>
        <li><a href="#installation">Installation</a></li>
      </ul>
    </li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
  </ol>
</details>


<!-- ABOUT THE PROJECT -->
## About The Project
Terrain descriptors present information of the earth surface and its relationship with water movement.
This toolbox was devised to reduce calculation time of these descriptors with GPU parallelization. As well as functions to produce flood map via linear binary classification. </br>
This toolbox was made for reviewing process of Computer and Geosciences journal for the manuscript entitled: <b>Parallelized geomorphic descriptors for flood-prone areas delineation</b>



### Built With

* [Python](https://www.python.org/)
* [NumPy](https://numpy.org/)
* [Numba](https://numba.pydata.org/)



<!-- GETTING STARTED -->
## Getting Started

To get a local copy up and running follow these simple steps.



### PIP
You can install descriptools using pip:
   ```sh
   pip install descriptools
   ```


<!-- LICENSE -->
## License

Distributed under the MIT License. See `LICENSE` for more information.

<!-- CONTACT -->
## Contact

Authors: JosÃ© VinÃ­cius Boinf de Souza and Pedro Luiz Borges Chaffe

Developer: JosÃ© VinÃ­cius Boing de Souza

Contact address: joseboing@gmail.com

Project Link: [https://github.com/JVBSouza/descriptools](https://github.com/JVBSouza/descriptools)