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        "description": "******\npycraf\n******\n\n- *Version:* 0.25\n- *Author:* Benjamin Winkel\n- *User manual:* `stable <https://bwinkel.github.io/pycraf/>`__ |\n  `developer <https://bwinkel.github.io/pycraf/latest/>`__\n\n.. image:: https://img.shields.io/pypi/v/pycraf.svg\n    :target: https://pypi.python.org/pypi/pycraf\n    :alt: PyPI tag\n\n.. image:: https://img.shields.io/badge/license-GPL-blue.svg\n    :target: https://www.github.com/bwinkel/pycraf/blob/master/COPYING\n    :alt: License\n\n.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.1244192.svg\n    :target: https://doi.org/10.5281/zenodo.1244192\n    :alt: Zenodo DOI\n\nThe pycraf Python package provides functions and procedures for\nvarious tasks in spectrum-management compatibility studies. A typical example\nwould be to calculate the interference levels at a radio telescope produced\nfrom a radio broadcasting tower.\n\nReleases are `registered on PyPI <http://pypi.python.org/pypi/pycraf>`_,\nand development is occurring at the\n`project's github page <http://github.com/bwinkel/pycraf/>`_.\n\nProject Status\n==============\n\n.. image:: https://travis-ci.org/bwinkel/pycraf.svg?branch=master\n    :target: https://travis-ci.org/bwinkel/pycraf\n    :alt: Pycrafs's Travis CI Status\n\n.. image:: https://ci.appveyor.com/api/projects/status/tj7swn14t6bek3jr?svg=true\n    :target: https://ci.appveyor.com/project/bwinkel/pycraf\n    :alt: Pycrafs's AppVeyor CI Status\n\n.. image:: https://coveralls.io/repos/github/bwinkel/pycraf/badge.svg?branch=master\n    :target: https://coveralls.io/github/bwinkel/pycraf?branch=master\n    :alt: Pycrafs's Coveralls Status\n\n`pycraf` is still in the early-development stage. While much of the\nfunctionality is already working as intended, the API is not yet stable.\nNevertheless, we kindly invite you to use and test the library and we are\ngrateful for feedback. Note, that work on the documentation is still ongoing.\n\nFeatures\n========\n\n- Full implementation of `ITU-R Rec. P.452-16 <https://www.itu.int/rec/R-REC-P.452-16-201507-I/en>`_ that allows to calculate path\n  attenuation for the distance between interferer and victim service. Supports\n  to load NASA's `Shuttle Radar Topography Mission (SRTM) <https://www2.jpl.nasa.gov/srtm/>`_ data for height-profile generation.\n- Full implementation of `ITU-R Rec. P.676-10 <https://www.itu.int/rec/R-REC-P.676-10-201309-S/en>`_, which provides two atmospheric\n  models to calculate the attenuation for paths through Earth's atmosphere.\n- Provides various antenna patterns necessary for compatibility studies (e.g.,\n  RAS, IMT, fixed-service links).\n- Functions to convert power flux densities, field strengths, transmitted and\n  received powers at certain distances and frequencies into each other.\n\nUsage\n=====\n\nExamples and Documentation\n--------------------------\n\nWe provide `an online documentation and API reference <https://bwinkel.github.io/pycraf/>`_. Furthermore, you can find tutorials and HowTos in\nthe `notebooks <http://nbviewer.jupyter.org/github/bwinkel/pycraf/blob/master/notebooks/>`_\ndirectory on the pycraf repository.\n\nTesting\n-------\n\nAfter installation (see below) you can test, if everything works as intended::\n\n    import pycraf\n\n    pycraf.test()\n\nBy default, the `test` function will skip over tests that require\ndata from the internet. One can include them by::\n\n    pycraf.test(remote_data='any')\n\nThis will *always* download SRTM data (few tiles only) to test the\nauto-download functionality! Do this only, if you can afford the network\ntraffic.\n\n\nLicense\n=======\n\nSeveral licenses apply; see the `license directory <https://github.com/bwinkel/pycraf/blob/master/licenses/>`_ in the repository. The pycraf Python package\nitself is published under `GPL v3 <https://github.com/bwinkel/pycraf/blob/master/licenses/COPYING>`_, an open-source license.\n\nFor some of the functionality provided in pycraf, data files provided by the\nITU are necessary. For example, the atmospheric model in the *pycraf.atm*\nsubpackage implements the algorithm described in `ITU-R Recommendation P.676 <https://www.itu.int/rec/R-REC-P.676-10-201309-S/en>`_.\nAnnex 1 of this Recommendation makes use of spectroscopic information of the\noxygen and water vapour lines given in Tables 1 and 2 of P.676. Another\nexample are the radiometeorological data files that are distributed alongside\n`ITU-R Rec. P.452-16 <https://www.itu.int/rec/R-REC-P.452-16-201507-I/en>`_\n\nITU kindly gave us permission to include data files into pycraf that are\ndistributed with the Recommendations on the ITU servers. This makes it possible\nto just use pycraf without the need to manually download necessary data files.\nHowever, these data files are not free for commercial use. For details, please\nsee the `LICENSE.ITU <https://www.github.com/bwinkel/pycraf/blob/master/licenses/LICENSE.ITU>`_ file.\n\nSince pycraf uses the `Astropy Package Template <https://github.com/astropy/package-template>`_ for packaging, we also refer to the associated  `license <https://github.com/bwinkel/pycraf/blob/master/licenses/LICENSE_ASTROPY_PACKAGE_TEMPLATE.rst>`_.\n\n\nInstallation\n============\n\nThe easiest way to install pycraf is via pip::\n\n    pip install pycraf\n\nThe installation is also possible from source. Download the tar.gz-file,\nextract (or clone from GitHub) and simply execute::\n\n    python setup.py install\n\nDependencies\n------------\n\nWe kept the dependencies as minimal as possible. The following packages are\nrequired:\n\n* setuptools\n* cython 0.23 or later\n* numpy 1.11 or later\n* astropy 1.3 or later (2.0 recommended)\n* scipy 0.15 or later\n* pytest 2.6 or later\n\nThe following packages are optional, and you will need them for certain\nfeatures and to build the docs:\n\n* matplotlib 1.2 or later; for some plot helpers\n* pyproj 1.9 or later; for the `geospatial` subpackage\n* sgp4 1.4 or later; for the `satellite` subpackage\n\nFor further details, we refer to the online documention `installation\ninstructions <https://bwinkel.github.io/pycraf/install.html>`_. It also\nincludes some hints for running pycraf on Windows or MacOS.\n\nSRTM data\n---------\n\nTo make full use of the path attenuation calculations provided by pycraf\n(implements `ITU-R Rec. P.452 <https://www.itu.int/rec/R-REC-P.452-16-201507-I/en>`_), we recommend to use NASA's\n`Shuttle Radar Topography Mission (SRTM) <https://www2.jpl.nasa.gov/srtm/>`_\ndata for height-profile generation. pycraf can work with so-called *.hgt*\nfiles, a very simple binary format. Each *.hgt* file, a so-called tile, just\ncontains 1201x1201 16-bit integers. From the file naming scheme, one can infer\nthe associated coordinates. Most tiles contain one square-degree.\n\nUnfortunately, we cannot provide SRTM data as part of the package, due to the\nlarge file sizes and legal reasons. But once you downloaded the necessary\ntiles (all or only a subset appropriate for your region), simply define the\nenvironment variable *SRTMDATA*, let it point to the folder containing the\ntiles, and pycraf will find the files when it is imported from Python.\n\nOn windows::\n\n    set SRTMDATA=C:\\[path-to-srtm]\\\n\nOn Linux/MacOS (sh-like)::\n\n    export SRTMDATA=[path-to-srtm]/\n\nThere is also the possibility to change the path to the SRTM directory during\nrun-time (see documentation).\n\nAcknowledgments\n===============\nWe are very grateful for the kind support from ITU study groups and ITU's\nlegal department.\n\nThis code is makes use of the excellent work provided by the\n`Astropy <http://www.astropy.org/>`_ community. pycraf uses the Astropy package and also the\n`Astropy Package Template <https://github.com/astropy/package-template>`_\nfor the packaging.\n\nWho do I talk to?\n=================\n\nIf you encounter any problems or have questions, do not hesitate to raise an\nissue or make a pull request. Moreover, you can contact the devs directly:\n\n- *bwinkel@mpifr.de*",
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