Metadata-Version: 2.4
Name: Smokescreen
Version: 1.5.6
Summary: Smokescreen: DESC Blinding Unified Library. Based on the Muir et al. (2021) data-vector blinding method.
Project-URL: Homepage, https://github.com/LSSTDESC/Smokescreen
Project-URL: Issues, https://github.com/LSSTDESC/Smokescreen/issues
Maintainer-email: Arthur Loureiro <arthur.loureiro@fysik.su.se>
License: BSD 3-Clause License
        
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License-File: LICENSE
Keywords: blinding,cosmology,desc,firecrown,python
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.12
Requires-Dist: astropy>=5.2.0
Requires-Dist: cryptography
Requires-Dist: jsonargparse[signatures]>=4.0
Requires-Dist: numpy>=2.2.0
Requires-Dist: pytest
Requires-Dist: pytest-cov
Requires-Dist: pytest>=7.2.5
Requires-Dist: sacc>=0.12
Requires-Dist: scipy>=1.9.0
Provides-Extra: docs
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Requires-Dist: sphinxcontrib-datatemplates; extra == 'docs'
Description-Content-Type: text/markdown

[![DESC Smokescreen](https://github.com/LSSTDESC/Smokescreen/actions/workflows/CI.yml/badge.svg)](https://github.com/LSSTDESC/Smokescreen/actions/workflows/CI.yml)
[![Documentation](https://github.com/LSSTDESC/Smokescreen/actions/workflows/build_docs.yml/badge.svg?branch=main)](https://lsstdesc.org/Smokescreen/)
[![codecov](https://codecov.io/gh/LSSTDESC/Smokescreen/graph/badge.svg?token=T3L9QM4PTT)](https://codecov.io/gh/LSSTDESC/Smokescreen)
[![License: BSD 3-Clause](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://github.com/yourusername/yourrepository/blob/main/LICENSE)
[![LSST DESC Blinding Slack](https://img.shields.io/badge/join-Slack-4A154B)](https://lsstc.slack.com/archives/CT14ZF2AH)

# Smokescreen: DESC Modules for data concealment (blinding)
> :warning: Important notice :warning: : the term "blinding" is used in the context of data concealment for scientific analysis. We understand this is an outdated term and we are working to update it to a more appropriate term. If you have any suggestions, please let us know.
This repository (under development) contains the modules for data concealment (blinding) at the following levels of the analysis:
- Data-vector measurements
- Posterior distribution [not yet developed]
- (TBC) Catalogues

**You can find the documentation for Smokescreen [here](https://lsstdesc.org/Smokescreen/).**

## Quick Installation
You can install Smokescreen using conda:
```bash
conda install -c conda-forge lsstdesc-smokescreen
```

For developer installation or other instructions check the [documentation](https://lsstdesc.org/Smokescreen/installation.html).

For questions contact @arthurmloureiro, @jessmuir, or @jablazek

---

**Legacy 2pt Cosmosis Blinding**

Legacy Blinding scripts for 2pt data vector blinding with Cosmosis moved to a [new repository](https://github.com/LSSTDESC/legacy_blinding).



