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        "author": "Yasyf Mohamedali",
        "author_email": "yasyfm@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
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To let ``bcferries`` know about this\nkey, set it as the ``GOOGLE_MAPS_API_KEY`` environment variable.\nAlternatively, you can pass it as an optional keyword argument to the\nconstructor.\n\n.. code:: python\n\n    from bcferries import BCFerries\n\n    bc = BCFerries(google_maps_api_key='xxx-xxx-xxx')\n\nUsage\n-----\n\n.. code:: python\n\n    bc = BCFerries()\n\nTerminals\n~~~~~~~~~\n\n.. code:: python\n\n    bc.nearest_terminal('Qualicum Beach')\n    # BCFerriesTerminal(Nanaimo (Duke Pt))\n\n    terminals = bc.terminals()\n    # {u'Horseshoe Bay': BCFerriesTerminal(Horseshoe Bay), u'Tsawwassen': BCFerriesTerminal(Tsawwassen)}\n    t = terminals['Tsawwassen']\n    # BCFerriesTerminal(Tsawwassen)\n    t.updated_at()\n    # datetime.datetime(2014, 12, 29, 0, 4)\n    t.next_crossing()\n    # BCFerriesCrossing(Tsawwassen to Duke Point at 5:15am)\n    t.location().address\n    # u'Ferry Causeway, Delta, BC V4M, Canada'\n\nRoutes\n~~~~~~\n\n.. code:: python\n\n    routes = t.routes()\n    # {u'Tsawwassen to Duke Point': BCFerriesRoute(Tsawwassen to Duke Point)}\n    r = routes['Tsawwassen to Duke Point']\n    # BCFerriesRoute(Tsawwassen to Duke Point)\n\n    r.from_, r.to\n    # (BCFerriesTerminal(Tsawwassen), BCFerriesTerminal(Nanaimo (Duke Pt)))\n    r.distance()\n    # Distance(61.9591068557)\n    r.car_waits\n    # 0\n\nCrossings\n~~~~~~~~~\n\n.. code:: python\n\n    crossing = r.crossings()['10:45pm']\n    # BCFerriesCrossing(Tsawwassen to Duke Point at 5:45pm)\n    crossing.capacity\n    # BCFerriesCapacity(18% Full)\n\nSchedules\n~~~~~~~~~\n\n.. code:: python\n\n    schedule = r.scheduled('12:45 PM')\n    # BCFerriesScheduledCrossing(Queen of Alberni at 12:45 PM)\n    schedule.status\n    # u'On Time'\n    schedule.sailing_time\n    # datetime.timedelta(0, 7200)\n    schedule.is_late()\n    # False\n    schedule.is_departed()\n    # True\n\nFuzzy Results\n-------------\n\nAll returned dictionaries have fuzzy string matching on they keys.\n\n.. code:: python\n\n    routes['Tsawwassen to Duke Point'] == routes['Tsaw to DP']\n    # True\n\nThere is also fuzzy time matching on keys that represent a nearby time.\n\n.. code:: python\n\n    r = routes['HBay to DBay']\n    schedule = r.schedule()\n    schedule['6:12 PM']\n    # BCFerriesScheduledCrossing(Queen of Cowichan at 6:30 PM)\n\n``datetime`` objects can also be used as keys.\n\n.. code:: python\n\n    from datetime import datetime\n\n    datetime.datetime.now()\n    # datetime.datetime(2014, 12, 28, 10, 42, 35, 630996)\n    schedule[datetime.datetime.now()]\n    # BCFerriesScheduledCrossing(Coastal Renaissance at 10:40 AM)\n\nCaching\n-------\n\n``bcferries`` caches the 16 most used API calls for up to five minutes\nby default. You can change this behavior as below. This must be done\nbefore creating a ``BCFerries`` object.\n\n.. code:: python\n\n    import bcferries\n    import datetime\n\n    bcferries.set_cache_size(16)\n    bcferries.set_cache_timeout(datetime.timedelta(minutes=5))\n\nYou can also pass any function the ``ignore_cache`` keyword argument to\nbypass the cache, or call the ``flush_cache`` method on ``BCFerries`` to\nclear the entire cache.\n\n.. code:: python\n\n    terminals = bc.terminals() # initial call takes multiple seconds\n    terminals = bc.terminals() # repeated call returns almost instantly\n    terminals = bc.terminals(ignore_cache=True) # takes multiple seconds to return\n\n    bc.flush_cache() # wipes the cache\n\nExport\n------\n\nYou can export any subset of information with a call to ``to_dict`` on\nany object. 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