Metadata-Version: 2.1
Name: epispot-nightly
Version: 3.0.0a2
Summary: The nightly version of the epispot package.
Home-page: https://epispot.github.io
Author: quantum9innovation
License: UNKNOWN
Project-URL: Repository, https://github.com/epispot/epispot
Project-URL: Changelog, https://github.com/epispot/epispot/tree/master/CHANGELOG.md
Project-URL: Bug Tracker, https://github.com/epispot/epispot/issues
Project-URL: Documentation, https://epispot.github.io/epispot
Project-URL: Code Coverage, https://app.codecov.io/gh/epispot/epispot
Description: ![epispot](https://i.ibb.co/m9yS1yh/epispot-nightly.jpg)
        
        ---
        
        # epispot nightly
        
        A Python package for the mathematical modeling of infectious diseases via compartmental models. Originally designed for epidemiologists, epispot can be adapted for almost any type of modeling scenario.
        
        > This is a nightly version of epispot and may contain possibly unstable code.  
        > **Please see usage instructions prior to adding this project as a dependency**  
        > If you prefer to use the stable version of epispot, please see
        > the [project on PyPI](https://pypi.org/project/epispot)
        
        ## Installation
        
        The epispot package can be installed from PyPI, Anaconda, or be built from the source. However, as epispot's nightly versions cannot be released per-commit to  the conda packaging registry, using Anaconda means that epispot will have to be installed via the built-in `pip` installer. Instructions for each platform are listed below.
        
        ### PyPI
        
        This is the easiest way to install epispot nightly. Fire up a terminal and type:
        
        ```shell
        pip install epispot-nightly
        ```
        
        Pip will ask you to install `numpy` and `matplotlib` as dependencies if you haven't already. Additionally, it may require you to install `fire`, `plotly`, and `SciencePlots` for some `nightly` experiments.
        These can be installed beforehand with:
        
        ```shell
        pip install numpy
        pip install matplotlib
        pip install fire
        pip install plotly
        pip install SciencePlots
        ```
        
        Update the package regularly with:
        
        ```shell
        pip install epispot-nightly --upgrade
        ```
        
        ### Anaconda
        
        Please note that the `nightly` version is **not** available on the `conda` package registry (although we may add it in the future). However, it is still possible to install on `conda`-based systems with
        
        ```shell
        pip install epispot-nightly
        ```
        
        which uses `pip` from Anaconda to install it. All dependencies are available on the conda package registry (except `SciencePlots`), but you may prefer to install them via `pip` to avoid cross-referencing packages installed on different registries.
        
        `SciencePlots` can be installed using `pip` with:
        
        ```shell
        pip install SciencePlots
        ```
        
        Update the package regularly with:
        
        ```shell
        pip install epispot-nightly --upgrade
        ```
        
        If you installed the dependencies on conda instead of `pip` you may have to update them too after major releases. You can do that with:
        
        ```shell
        conda update numpy
        conda update matplotlib
        conda update fire
        conda update -c conda-forge plotly
        ```
        
        ### Building from the source
        
        This is the hardest way to install `epispot-nightly` but it can be particularly useful if you plan on helping out with the development process. The main downside of this approach is that you will have to continuously run `git pull` and then rerun the steps listed below to get the latest version.
        
        Clone the repository with:
        
        ```shell
        git clone https://github.com/epispot/epispot
        cd epispot/requirements
        pip install -r pre-requirements.txt  # helps avoid version conflicts
        pip install -r requirements-nightly.txt
        ```
        
        If you're planning on helping out in the development process, it will be  helpful to install a few extra requirements with:
        
        ```shell
        pip install -r requirements-dev.txt
        ```
        
        Then, build the nightly version with:
        
        ```shell
        python setup-nightly.py install
        ```
        
        If you're working on a patch, you may find it helpful to use
        
        ```shell
        python setup-nightly.py develop
        ```
        
        instead because it will greatly simplify the constant reinstallation of the package.
        
        ## Usage
        
        It is important to note that this package was designed specifically for getting releases out as soon as possible when modeling is important. During the COVID-19 pandemic, this strategy allowed epispot to  distribute versions quickly on PyPI; additionally, this package is used to ship `alpha` releases and other unstable code that is currently being developed in the epispot repository. `beta`-tagged releases and release candidates will be published on the [stable package](https://pypi.org/project/epispot/).
        
        Please also note that security updates are not provided on previous nightly versions. To make sure that your version has no vulnerabilities, upgrade to the latest published version regularly. The latest version of the nightly package is the one that is maintained by our development team.
        
        ## Getting Started
        
        Make sure you are already familiar with [epispot](https://www.pypi.org/project/epispot). If not, continue reading the auto-generated documentation published to this site. Additionally, we highly recommend reading the [epispot manual](https://epispot.gitbook.io) to get a better understanding of the documentation and how to use epispot.
        
        ## Current Statuses
        
        Please note that these statuses reflect the most recent CI checks and are not related to this specific version. The following statuses show the progress of the current development.
        
        | Pipeline | Status |
        | --- | --- |
        | Build (3.7-3.9) | [![Build](https://github.com/epispot/epispot/actions/workflows/build.yml/badge.svg)](https://github.com/epispot/epispot/actions/workflows/build.yml) |
        | CodeCov | [![codecov](https://codecov.io/gh/epispot/epispot/branch/master/graph/badge.svg?token=WGIM127RFY)](https://codecov.io/gh/epispot/epispot) |
        | PyPI main (latest) | ![latest-release](https://shields.mitmproxy.org/pypi/v/epispot.svg?color=success) |
        | PyPI nightly (latest) | ![latest-release](https://shields.mitmproxy.org/pypi/v/epispot-nightly.svg?color=success) |
        | Security | ![GitHub issue custom search in repo](https://img.shields.io/github/issues-search/epispot/epispot?color=success&label=known%20vulnerabilities&query=VULNERABILITY%20is:open%20is:issue) |
        
        ## Contributing
        
        Contributions are always welcome!
        See [CONTRIBUTING.md](https://github.com/epispot/epispot/tree/master/CONTRIBUTING.md) for instructions on how to get started, including environment setup and instructions to build from the source. Please note also that epispot has many guides dedicated to certain types of
        contributions. Please see
        
        - [DOCUMENTATION.md](https://github.com/epispot/epispot/tree/master/DOCUMENTATION.md) for documentation additions
        - [SECURITY.md](https://github.com/epispot/epispot/tree/master/SECURITY.md) for epispot's security policy
          
        ### Thank you to all contributors!
        
        ---
        
        ![epispot's open-source contributors](https://contrib.rocks/image?repo=epispot/epispot)
        
        Made with [contributors-img](https://contrib.rocks).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Description-Content-Type: text/markdown
