{ "info": { "author": "J. Michael Burgess", "author_email": "jmichaelburgess@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/b3d66930915f4a3a949465abe5311325)](https://app.codacy.com/app/grburgess/popsynth?utm_source=github.com&utm_medium=referral&utm_content=grburgess/popsynth&utm_campaign=Badge_Grade_Dashboard)\n[![Build Status](https://travis-ci.org/grburgess/popsynth.svg?branch=master)](https://travis-ci.org/grburgess/popsynth)\n[![codecov](https://codecov.io/gh/grburgess/popsynth/branch/master/graph/badge.svg)](https://codecov.io/gh/grburgess/popsynth)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![Documentation Status](https://readthedocs.org/projects/popsynth/badge/?version=latest)](https://popsynth.readthedocs.io/en/latest/?badge=latest)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3372456.svg)](https://doi.org/10.5281/zenodo.3372456)\n# popsynth\n\nA simple object oreinted population synthesis framework designed for testing population inference in Stan.\nIt has grown passed its orginal intent to be able to produce populations/catalogs from a variety of luminosity functions, redshift distributions, and even more abstractions. 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