{
    "info": {
        "author": "Jeffrey Shafiq Hazboun",
        "author_email": "jeffrey.hazboun@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
        ],
        "description": "========\nLa Forge\n========\n\n\n.. image:: https://img.shields.io/pypi/v/la_forge.svg\n        :target: https://pypi.python.org/pypi/la_forge\n\n.. image:: https://img.shields.io/travis/Hazboun6/la_forge.svg\n        :target: https://travis-ci.org/Hazboun6/la_forge\n\n.. image:: https://readthedocs.org/projects/la-forge/badge/?version=latest\n        :target: https://la-forge.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\nPulsar Timing Array Bayesian Data Visualization\n\n.. image:: ./visor.png\n   :target: https://www.deviantart.com/sjvernon/art/Geordi-La-Forge-Star-Trek-Next-Generation-Visor-646311950\n   :alt: Graphic Credit: Stewart Vernon, via Deviant Art\n   :align: center\n\nGraphic Credit: Stewart Vernon, via Deviant Art\n\nPython package for conveniently plotting results from pulsar timing array bayesian analyses. Many of the functions are best used with enterprise_ outputs.\n\nNot yet available on PyPI, please use\n\n.. code-block:: python\n\n   pip install git+https://github.com/Hazboun6/la_forge@master\n\nto install or run the `setup.py` script once cloned to your pc.\n\n* Free software: MIT license\n* Documentation: https://la-forge.readthedocs.io.\n\nExample code\n------------\n\n.. code-block:: python\n\n   from la_forge import rednoise\n   from la_forge.core import Core\n   from la_forge import utils\n\n   normal_ul_dir = '../BF_standard/DE436/'\n   free_spec_ul_dir = '../BF_free_spec/DE436/'\n\n   a = Core('plaw',chaindir=normal_ul_dir)\n   b = Core('free_spec',chaindir=free_spec_ul_dir)\n\n   tspan = 11.4*365.25*24*3600\n\n   a.set_rn_freqs(Tspan=tspan)\n   b.set_rn_freqs(Tspan=tspan)\n\n   compare = [a,b]\n   plot_filename = './noise_model_plots.png'\n   Colors = ['blue','red']\n   Labels = ['PTA PLaw', 'PTA Free Spec']\n\n   rednoise.plot_rednoise_spectrum(pulsar=psr, cores=compare, chaindir=chaindir,\n                                   show_figure=True, rn_type='', verbose=False,\n                                   Tspan=tspan, Colors=Colors, n_plaw_realizations=100,\n                                   labels=Labels, plotpath=plot_filename)\n\n\nFeatures\n--------\n\n* TODO\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _`enterprise`: https://github.com/nanograv/enterprise\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2018-09-21)\n------------------\n\n* First release on PyPI.",
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        "name": "la-forge",
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