Metadata-Version: 2.1
Name: y0
Version: 0.1.0
Summary: Python code for causal modeling.
Home-page: https://github.com/y0-causal-inference/y0
Author: Jeremy Zucker
Author-email: jeremy.zucker@pnnl.gov
Maintainer: Charles Tapley Hoyt
Maintainer-email: cthoyt@gmail.com
License: BSD-3-Clause
Download-URL: https://github.com/y0-causal-inference/y0/releases
Project-URL: Bug Tracker, https://github.com/y0-causal-inference/y0/issues
Project-URL: Source Code, https://github.com/y0-causal-inference/y0
Description: <p align="center">
          <img src="docs/source/logo.png" height="120">
        </p>
        
        <h1 align="center">
          y0
        </h1>
        
        <p align="center">
            <a href="https://github.com/y0-causal-inference/y0/actions?query=workflow%3ATests">
                <img alt="Tests" src="https://github.com/y0-causal-inference/y0/workflows/Tests/badge.svg" />
            </a>
           <a href="https://github.com/cthoyt/cookiecutter-python-package">
              <img alt="Cookiecutter template from @cthoyt" src="https://img.shields.io/badge/Cookiecutter-python--package-yellow" /> 
           </a>
            <a href="https://pypi.org/project/y0">
                <img alt="PyPI" src="https://img.shields.io/pypi/v/y0" />
            </a>
            <a href="https://pypi.org/project/y0">
                <img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/y0" />
            </a>
            <a href="https://github.com/y0-causal-inference/y0/blob/main/LICENSE">
                <img alt="PyPI - License" src="https://img.shields.io/pypi/l/y0" />
            </a>
            <a href='https://y0.readthedocs.io/en/latest/?badge=latest'>
                <img src='https://readthedocs.org/projects/y0/badge/?version=latest' alt='Documentation Status' />
            </a>
            <a href="https://zenodo.org/badge/latestdoi/328745468">
                <img src="https://zenodo.org/badge/328745468.svg" alt="DOI">
            </a>
            <a href="https://github.com/psf/black">
                <img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Code style: black" />
            </a>
        </p>
        
        `y0` (pronounced "why not?") is Python code for causal inferencing.
        
        ## 💪 Getting Started
        
        > TODO show in a very small amount of space the **MOST** useful thing your package can do.
        Make it as short as possible! You have an entire set of docs for later.
        
        ## ⬇️ Installation
        
        The most recent release can be installed from
        [PyPI](https://pypi.org/project/y0/) with:
        
        ```bash
        $ pip install y0
        ```
        
        The most recent code and data can be installed directly from GitHub with:
        
        ```bash
        $ pip install git+https://github.com/y0-causal-inference/y0.git
        ```
        
        To install in development mode, use the following:
        
        ```bash
        $ git clone git+https://github.com/y0-causal-inference/y0.git
        $ cd y0
        $ pip install -e .
        ```
        
        ## ⚖️ License
        
        The code in this package is licensed under the [BSD-3-Clause
        license](https://github.com/y0-causal-inference/y0/blob/master/LICENSE).
        
        ## 🙏 Contributing
        
        Contributions, whether filing an issue, making a pull request, or forking, are appreciated. See
        [CONTRIBUTING.rst](https://github.com/y0-causal-inference/y0/blob/master/CONTRIBUTING.rst) for more information on getting
        involved.
        
        ## Acknowledgements
        
        ### Supporters
        
        This project has been supported by several organizations (in alphabetical order):
        
        - [Harvard Program in Therapeutic Science - Laboratory of Systems Pharmacology](https://hits.harvard.edu/the-program/laboratory-of-systems-pharmacology/)
        - [Pacific Northwest National Laboratory](https://www.pnnl.org/)
        
        ### 💰 Funding
        
        The development of the Y0 Causal Inference Engine has been funded by the following grants:
        
        | Funding Body                                             | Program                                                                                                                       | Grant           |
        |----------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|-----------------|
        | DARPA                                                    | [Automating Scientific Knowledge Extraction (ASKE)](https://www.darpa.mil/program/automating-scientific-knowledge-extraction) | HR00111990009   |
        | PNNL Data Model Convergence Initiative    | [Causal Inference and Machine Learning Methods for Analysis of Security Constrained Unit Commitment (SCY0)](https://www.pnnl.gov/projects/dmc/converged-applications-projects) | 90001   |
        
        ### 🍪 Cookiecutter
        
        This package was created with [@audreyfeldroy](https://github.com/audreyfeldroy)'s
        [cookiecutter](https://github.com/cookiecutter/cookiecutter) package using [@cthoyt](https://github.com/cthoyt)'s
        [cookiecutter-python-package](https://github.com/cthoyt/cookiecutter-python-package) template.
        
        ## 🛠️ Development
        
        The final section of the README is for if you want to get involved by making a code contribution.
        
        ### ❓ Testing
        
        After cloning the repository and installing `tox` with `pip install tox`, the unit tests in the `tests/` folder can be
        run reproducibly with:
        
        ```shell
        $ tox
        ```
        
        Additionally, these tests are automatically re-run with each commit in a [GitHub Action](https://github.com/y0-causal-inference/y0/actions?query=workflow%3ATests).
        
        ### 📦 Making a Release
        
        After installing the package in development mode and installing
        `tox` with `pip install tox`, the commands for making a new release are contained within the `finish` environment
        in `tox.ini`. Run the following from the shell:
        
        ```shell
        $ tox -e finish
        ```
        
        This script does the following:
        
        1. Uses BumpVersion to switch the version number in the `setup.cfg` and
           `src/y0/version.py` to not have the `-dev` suffix
        2. Packages the code in both a tar archive and a wheel
        3. Uploads to PyPI using `twine`. Be sure to have a `.pypirc` file configured to avoid the need for manual input at this
           step
        4. Push to GitHub. You'll need to make a release going with the commit where the version was bumped.
        5. Bump the version to the next patch. If you made big changes and want to bump the version by minor, you can
           use `tox -e bumpversion minor` after.
        
Keywords: cthoyt,cookiecutter,structural causal modeling
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Compilers
Classifier: Framework :: Pytest
Classifier: Framework :: tox
Classifier: Framework :: Sphinx
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: r
Provides-Extra: docs
