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        "author": "Maksym Sladkov",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering"
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        "description": "\n# Python client for Strava Flyby\n\n[![PyPI version](https://badge.fury.io/py/strava-flyby.svg)](https://badge.fury.io/py/strava-flyby)\n[![Build Status](https://travis-ci.org/sladkovm/strava-flyby.svg?branch=master)](https://travis-ci.org/sladkovm/strava-flyby)\n\n\n## Install\n\n$ pip install strava-flyby\n\n\n## Usage\n\n*strava-flyby* provides a convenience object wrapping of the *Strava Labs Flyby API* response. Next to providing a direct access to the unmodified content of the *Flyby API* response, the object will expose number of convenience attributes and methods to access the list of *activity*, *ids*, *matches* and *athletes*.  \n\n\nJupyter notebook example with real data is [here](https://github.com/sladkovm/strava-flyby/blob/master/examples/Flyby%20quickstart.ipynb)\n\n\nCreate a *flyby* object using the Strava activity ID with a help of the `flyby()` factory function:\n```python\nfrom flyby import flyby\nfb = flyby(activity_id=12345)\nfb\n>>> Flyby object with 17 matches. \n        Attributes: ids, activity, matches, athletes\n        Methods: matches_to_list(), matches_to_json(), get_ids()\n```\n\nFilter by distance in km and print all matched ids:\n```python\nprint(fb.get_ids(distance=(110, 130)))\n```\n\nDump filtered by distance flattened matches into a list:\n```python\nprint(fb.matches_to_list(distance=120, tol=0.1))\n```\n\n\n",
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