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    "info": {
        "author": "Satellogic SA",
        "author_email": "oss@satellogic.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
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        "description": "Orbit Predictor\n===============\n\n.. image:: https://travis-ci.org/satellogic/orbit-predictor.svg?branch=master\n    :target: https://travis-ci.org/satellogic/orbit-predictor\n.. image:: https://coveralls.io/repos/github/satellogic/orbit-predictor/badge.svg?branch=master\n    :target: https://coveralls.io/github/satellogic/orbit-predictor?branch=master\n\n\nOrbit Predictor is a Python library to propagate orbits of Earth-orbiting objects (satellites, ISS, \nSanta Claus, etc) using `TLE (Two-Line Elements set) <https://en.wikipedia.org/wiki/Two-line_element_set>`_\n\nAl the hard work is done by Brandon Rhodes implementation of \n`SGP4 <https://github.com/brandon-rhodes/python-sgp4>`_. \n\nWe can say *Orbit predictor* is kind of a \"wrapper\" for the python implementation of SGP4\n\nTo install it\n-------------\n\nYou can install orbit-predictor from pypi::\n\n    pip install orbit-predictor\n\nUse example\n-----------\n\nWhen will be the ISS over Argentina?\n\n:: \n\n    In [1]: from orbit_predictor.sources import EtcTLESource\n\n    In [2]: from orbit_predictor.locations import ARG\n\n    In [3]: source = EtcTLESource(filename=\"examples/iss.tle\")\n\n    In [4]: predictor = source.get_predictor(\"ISS\")\n\n    In [5]: predictor.get_next_pass(ARG)\n    Out[5]: <PredictedPass ISS over ARG on 2017-11-10 22:48:10.607212>\n\n    In [6]: predicted_pass = _\n\n    In [7]: position = predictor.get_position(predicted_pass.aos)\n\n    In [8]: ARG.is_visible(position)  # Can I see the ISS from this location?\n    Out[8]: True\n\n    In [9]: import datetime\n\n    In [10]: position_delta = predictor.get_position(predicted_pass.los + datetime.timedelta(minutes=20))\n\n    In [11]: ARG.is_visible(position_delta)\n    Out[11]: False\n\n    In [12]: tomorrow = datetime.datetime.utcnow() + datetime.timedelta(days=1)\n\n    In [13]: predictor.get_next_pass(ARG, tomorrow, max_elevation_gt=20)\n    Out[13]: <PredictedPass ISS over ARG on 2017-11-11 23:31:36.878827>\n\n\nSimplified creation of predictor from TLE lines:\n\n::\n\n    In [1]: import datetime\n\n    In [2]: from orbit_predictor.sources import get_predictor_from_tle_lines\n\n    In [3]: TLE_LINES = (\n                \"1 43204U 18015K   18339.11168986  .00000941  00000-0  42148-4 0  9999\",\n                \"2 43204  97.3719 104.7825 0016180 271.1347 174.4597 15.23621941 46156\")\n\n    In [4]: predictor = get_predictor_from_tle_lines(TLE_LINES)\n\n    In [5]: predictor.get_position(datetime.datetime(2019, 1, 1))\n    Out[5]: Position(when_utc=datetime.datetime(2019, 1, 1, 0, 0),\n        position_ecef=(-5280.795613274576, -3977.487633239489, -2061.43227648734),\n        velocity_ecef=(-2.4601788971676903, -0.47182217472755117, 7.167517631852518),\n        error_estimate=None)\n\nCurrently you have available these sources\n------------------------------------------\n\n- Memorytlesource: in memory storage.\n- EtcTLESource: a uniq TLE is stored in `/etc/latest_tle`\n- WSTLESource: It reads a REST API currently used inside Satellogic. We are are working to make it publicly available.\n\nHow to contribute\n-----------------\n\n- Write pep8 complaint code. \n- Wrap the code on 100 collumns.\n- Always use a branch for each feature and Merge Proposals.\n- Always run the tests before to push. (test implies pep8 validation)\n\n\n",
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