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        "description": "========\npowerbox\n========\n.. image:: https://img.shields.io/pypi/v/powerbox.svg\n    :target: https://pypi.python.org/pypi/powerbox\n.. image:: https://travis-ci.org/steven-murray/powerbox.svg?branch=master\n    :target: https://travis-ci.org/steven-murray/powerbox\n.. image:: https://coveralls.io/repos/github/steven-murray/powerbox/badge.svg?branch=master\n    :target: https://coveralls.io/github/steven-murray/powerbox?branch=master\n.. image:: https://api.codacy.com/project/badge/Grade/5853411c78444a5a9c6ec4058c6dbda9\n    :target: https://www.codacy.com/app/steven-murray/powerbox?utm_source=github.com&utm_medium=referral&utm_content=steven-murray/powerbox&utm_campaign=Badge_Grade\n.. image:: https://zenodo.org/badge/72076717.svg\n   :target: https://zenodo.org/badge/latestdoi/72076717\n.. image:: http://joss.theoj.org/papers/10.21105/joss.00850/status.svg\n   :target: https://doi.org/10.21105/joss.00850\n\n**Make arbitrarily structured, arbitrary-dimension boxes and log-normal mocks.**\n\n``powerbox`` is a pure-python code for creating density grids (or boxes) that have an arbitrary two-point distribution\n(i.e. power spectrum). Primary motivations for creating the code were the simple creation of log-normal mock galaxy\ndistributions, but the methodology can be used for other applications.\n\nFeatures\n--------\n* Works in any number of dimensions.\n* Really simple.\n* Arbitrary isotropic power-spectra.\n* Create Gaussian or Log-Normal fields\n* Create discrete samples following the field, assuming it describes an over-density.\n* Measure power spectra of output fields to ensure consistency.\n* Seamlessly uses pyFFTW if available for ~double the speed.\n\nInstallation\n------------\n``powerbox`` only depends on ``numpy >= 1.6.2``, which will be installed automatically if ``powerbox`` is installed\nusing ``pip`` (see below). Furthermore, it has the optional dependency of ``pyfftw``, which if installed will offer\n~2x performance increase in large fourier transforms. This will be seamlessly used if installed.\n\nTo install ``pyfftw``, simply do::\n\n    pip install pyfftw\n\nTo install ``powerbox``, do::\n\n    pip install powerbox\n\nAlternatively, the bleeding-edge version from git can be installed with::\n\n    pip install git+git://github.com/steven-murray/powerbox.git\n\nFinally, for a development installation, download the source code and then run (in the top-level directory)::\n\n    pip install -e .\n\nAcknowledgment\n--------------\nIf you find ``powerbox`` useful in your research, please cite the Journal of Open Source Software paper at\nhttps://doi.org/10.21105/joss.00850.\n\nQuickLinks\n----------\n* Docs: https://powerbox.readthedocs.io\n* Quickstart: http://powerbox.readthedocs.io/en/latest/demos/getting_started.html\n\n",
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