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        "author": "Maksym Sladkov",
        "author_email": "sladkovm@gmail.com",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Healthcare Industry",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
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        "description": "\n=======================================\nVMPY - Performance Velo Metrics Toolbox\n=======================================\n\n**VMPY** is a toolbox for evaluating *typical*\n*Cycling Performance Metrics* from the ride data e.g. power, heart-rate, velocity,\ngradient, cadence streams.\n\nAll functions within the package do follow the convention, where input/output\nformats are either traditional *Python* built-in data structures\nor are the *nd-arrays*. This design choice favors easy integration into other projects,\ne.g. `velometria.com <http://velometria.com>`_\n\nTo help you getting started VMPY also provides a very thin wrapper around the\n`Strava API <https://strava.github.io/api/>`_.\n\n\nInstallation\n============\n\nOfficial release:\n\n``pip install vmpy``\n\nThe bleeding edge work in progress:\n\n``pip install git+git://github.com/sladkovm/vmpy.git@development``\n\n\nScope\n=====\n\nThe *VMPY* package provides the following functionality:\n\n``streams.py``: Streams shape preserving calculations e.g. masking, filtering, zone conversions\n\n``metrics.py``: Cycling Performance Metrics\n\n``strava.py``: Python wrapper around the Strava API v3 for fetching Athletes, Activities and Stream data\n\n\nUsage\n=====\n\n>>> from vmpy import strava\n>>> stream = strava.retrieve_streams(activity_id=1282167861, access_token=STRAVA_ACCESS_TOKEN)\n\n\n>>> from vmpy import streams\n>>> power_zones = streams.compute_zones(stream['watts'], ftp=270)\n>>> hr_zones = streams.compute_zones(stream['heartrate'], lthr=160)\n>>> watts_3sec = streams.rolling_mean(stream['watts'], window=3, mask=stream['moving'])\n>>> gradient_wo_outliers = streams.median_filter(stream['grade_smooth'], window=31, threshold=1)\n\n\n>>> from vmpy import metrics\n>>> normalizes_power = metrics.normalized_power(stream['watts'])\n>>> time_in_power_zones = metrics.time_in_zones(stream['watts'], ftp=260)\n\n\nQuick Start\n===========\n\n**Register Strava App**\n\nIn order to be able to use Strava API the user App must be registered at the `<link\nhttp://www.strava.com/developers>`_:\n\n*Application Name:* ex.: *My Awesome App*\n\n*Website:* ex.: *myawesomeapp.com* (can be anything, even your FB or Strava page will do)\n\n*Application Description* ex.: *Just fooling around with some Strava data*\n\n*Authorization Callback Domain* *127.0.0.1* (unless you are building a serious App)\n\n**Access Token**\n\nThe *Access Token* will be found at the `users profile page <https://www.strava.com/settings/api>`_\nIt will look like this: *83ebeabdec09f6670863766f792ead24d61fe3f9*\n\nAccess Token must be passed explicitly as an argument\nto the functions found in ``strava.py`` module\n\n\nContribution guidelines\n=======================\n\nThis project is absolutely open for contributions. No strong guidelines yet, except for:\n\n1. Don't push on master branch\n2. Test\n3. Write docstrings in NumPy style\n\n\nUseful links\n============\n\n- Strava API v3 documentation - https://strava.github.io/api/\n\n\n",
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