{
    "info": {
        "author": "Katy Barnhart",
        "author_email": "barnhark@colorado.edu",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "[![Documentation Status](https://readthedocs.org/projects/umami/badge/?version=latest)](https://umami.readthedocs.io/en/latest/?badge=latest)\n[![Build Status](https://travis-ci.org/TerrainBento/umami.svg?branch=master)](https://travis-ci.org/TerrainBento/umami)\n[![Build status](https://ci.appveyor.com/api/projects/status/0ehba569dttgsuyv?svg=true)](https://ci.appveyor.com/project/kbarnhart/umami)\n[![Coverage Status](https://coveralls.io/repos/github/TerrainBento/umami/badge.svg?branch=master)](https://coveralls.io/github/TerrainBento/umami?branch=master)\n[![Anaconda-Server Badge](https://anaconda.org/conda-forge/umami/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge)\n[![Binder](https://static.mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FWelcome.ipynb)\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.01776/status.svg)](https://doi.org/10.21105/joss.01776)\n\n\n# What is it?\n\nUmami is a package for calculating objective functions or objective function\ncomponents for Earth surface dynamics modeling. It was designed to work well\nwith\n[terrainbento](https://github.com/TerrainBento/terrainbento) and other models built with the\n[Landlab Toolkit](https://github.com/landlab/landlab). Examples can be\nfound in the `notebooks` directory (or on Binder\n[![Binder](https://static.mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FWelcome.ipynb)\n).\n\nUmami offers two primary classes:\n* a [`Residual`](https://umami.readthedocs.io/en/latest/umami.residual.html#Residual),\nwhich represents the difference between model and data, and\n* a [`Metric`](https://umami.readthedocs.io/en/latest/umami.metric.html),\nwhich is a calculated value on either model or data.\n\nThe set of currently supported calculations are found in the [`umami.calculations`](https://umami.readthedocs.io/en/latest/umami.calculations.html) submodule.\n\n# What does it do well?\n\nUmami was designed to provide an input-file based interface for calculating\nsingle-value landscape metrics for use in model analysis. This supports\nreproducible analysis and systematic variation in metric construction. When\nused with `terrainbento` one input file can describe the model run, and one\ninput file can describe the model assessment or model-data comparison. This\nstreamlines model analysis applications. Umami also provides multiple output\nformats (YAML and Dakota), the latter of which is designed to interface with\nSandia National Laboratory's [Dakota package](https://dakota.sandia.gov).\n\nTo get a sense of how it is meant to be used, check out the\n[notebooks on Binder](https://mybinder.org/v2/gh/TerrainBento/umami/master?filepath=notebooks%2FWelcome.ipynb)\nand the [API documentation](https://umami.readthedocs.io/en/latest/).\n\n# Where to get it\n\nTo install the release version of umami (this is probably what you want) we\nsupport [conda](https://anaconda.org/conda-forge/umami) and\n[pip](https://pypi.org/project/umami/) package management.\n\n## Using conda\n\nOpen a terminal and execute the following:\n\n```\n$ conda config --add channels conda-forge\n$ conda install umami\n```\n\n## Using pip\n\nOpen a terminal and execute the following:\n\n```\n$ pip install umami\n```\n\n## From source code\n\nThe source code is housed on [GitHub](https://github.com/TerrainBento/umami).\nTo install the umami from source code we recommend creating a conda environment.\n\n```\n$ git clone https://github.com/TerrainBento/umami.git\n$ cd umami\n$ conda env create -f environment-dev.yml\n$ conda activate umami-dev\n$ python setup.py install\n```\n\nIf you are interested in developing umami, please check out the\n[development practices](https://umami.readthedocs.io/en/latest/development_practices.html)\npage.\n\n# Read the documentation\n\nDocumentation is housed on [ReadTheDocs](https://umami.readthedocs.io).\n\n# License\n\n[MIT](https://github.com/TerrainBento/umami/blob/master/LICENSE)\n\n# Report issues and get help\n\nUmami uses Github Issue as a single point of contact for users and developers.\nTo ask a question, report a bug, make a feature request, or to get in touch for\nany reason, please make [an Issue](https://github.com/TerrainBento/umami/issues).\n\n# Contribute to umami\n\nAll contributions are welcome and appreciated. Feel free to:\n\n- Make [an issue](https://github.com/TerrainBento/umami/issues) to ask a\n  question. Your question will help others in the future.\n- Make [an issue](https://github.com/TerrainBento/umami/issues) to report a\n  bug or a potential improvement. We will work to fix it. If you have an idea\n  about how to fix it, please feel free to propose it, or make a Pull Request.  \n- [Fork the repository](https://help.github.com/en/articles/fork-a-repo), make\n  changes to the source code on a\n  [development branch](https://www.atlassian.com/git/tutorials/comparing-workflows/gitflow-workflow),\n  and submit a Pull Request to have your changes brought into the umami\n  repository. **No contribution to the code base or documentation is too small.**\n\nContributors and maintainers to this project are are expected to abide the [Contributor Code of Conduct](https://github.com/TerrainBento/umami/blob/master/CODE_OF_CONDUCT.md).\n\n# Cite umami\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.01776/status.svg)](https://doi.org/10.21105/joss.01776)\n\nUmami is described by a Journal of Open Source Software paper. If you use umami in your research, please cite it. \n\n\n",
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