# scisample **Repository Path**: mirrors_LLNL/scisample ## Basic Information - **Project Name**: scisample - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-01-22 - **Last Updated**: 2026-04-04 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # scisample `scisample` is a Python 3 package that implements a number of parameter sampling methods for scientific computing. Specifications for sampling are written in the YAML markup language. # Installation with a python virtual environment 1. `cd` into the top level scisample directory 1. `python3 -m venv venv_scisample` 1. `source venv_sci_sample/bin/activate` 1. `pip install --upgrade pip` 1. `pip install -r requirements.txt` 1. `pip install -e .` # Documentation 1. `cd docs` into the top level scisample directory 1. `make `, where includes 'html', 'latexpdf', 'text', etc. # Testing 1. `cd` into the top level scisample directory 1. `pytest tests` 1. `pytest --cov=scisample --cov-report=html tests/` # Community `scisample` is an open source project. Questions, discussion, and contributions are welcome. Contributions can be anything from new packages to bugfixes, documentation, or even new core features. # Contributing Contributing to `scisample` is relatively easy. Just send us a pull request. When you send your request, make `develop` the destination branch on the scisample repository. Your PR must pass `scisamples`'s unit tests and documentation tests, and must pass most `flake8` and `pylint` tests. We enforce these guidelines with our CI process. Please see [CONTRIBUTING.md](./CONTRIBUTING.md) for more information. # Code of Conduct Please note that `scisample` has a [Code of Conduct](./CODE_OF_CONDUCT.md). By participating in the `scisample` community, you agree to abide by its rules. # Authors Current authors of `scisample` include Brian Daub, Chris Krenn, Cody Raskin, & Jessica Semler. # License `scisample` is distributed under the the MIT license. All new contributions must be made under the MIT license. Please see [LICENSE](./LICENSE) and [NOTICE](./NOTICE) for details. SPDX-License-Identifier: MIT LLNL-CODE-815909