{
    "info": {
        "author": "Eric Van Albert",
        "author_email": "eric@van.al",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "Outputting to lights from Radiance\n##################################\n\n`Radiance <https://radiance.video>`_ provides a simple way to output to light displays.\nA python library is provided for easy implementation on your device or middleware.\nAll you have to do is instantiate a LightOutputNode and point it to your device.\n\nExample device\n**************\n\nTo try it out, run it in the background. Then, open Radiance and create a new ``LightOutputNode`` pointing at ``localhost``.\nAdd a full-screen pattern such as ``purple`` before the ``LightOutputNode`` to fill the display with color.\nYou should see a circle of lights that correspond to the edges of the frame.\n\nIf you restart the server and want to reconnect, simply select the ``LightOutputNode`` and hit ``R``.\n\n.. code-block:: python\n\n    #!/usr/bin/env python3\n    \n    import logging\n    import math\n    import radiance\n    \n    # This example shows how to interface custom hardware to radiance.\n    \n    # This basic idea here is to subclasses radiance.LightOutputNode\n    # and override callback methods in it\n    # with custom functionality.\n    \n    class Example(radiance.LightOutputNode):\n        def __init__(self, *args, **kwargs):\n            super().__init__(*args, **kwargs)\n    \n            # This tells Radiance the name of our device, and how big the sampled canvas should be.\n            self.description = {\n                \"name\": \"Python Example\",\n                \"size\": [100, 100]\n            }\n    \n            # This would request 5 pixels at the corners and center.\n            #self.lookup_2d([(0, 0), (0, 1), (1, 0), (1, 1), (0.5, 0.5)])\n    \n            # Instead, lets request 120 pixels around the border.\n            N = 30\n            self.lookup_2d = [(0, i / N) for i in range(N)]\n            self.lookup_2d += [(i / N, 0) for i in range(N)]\n            self.lookup_2d += [(1, 1 - i / N) for i in range(N)]\n            self.lookup_2d += [(1 - i / N, 1) for i in range(N)]\n    \n            # If we stopped here, Radiance would visualize this display using the lookup coordinates\n            # and show a square.\n            # If the physical display looks different, we tell Radiance about it with the\n            # \"physical coordinates\" command.\n            # Lets tell Radiance to visualize the points as a circle instead.\n    \n            def moveToCircle(x, y):\n                l = math.hypot(x - 0.5, y - 0.5)\n                return (0.5 * (x - 0.5) / l + 0.5, 0.5 * (y - 0.5) / l + 0.5)\n            self.physical_2d = [moveToCircle(x, y) for (x, y) in self.lookup_2d]\n    \n            # We can send radiance a PNG file to be used as a background image for visualization.\n            # This logo image is not very useful, but perhaps some line-art of your venue would work well.\n    \n            #with open(\"../resources/library/images/logo.png\", \"rb\") as f:\n            #    self.geometry_2d = f.read()\n    \n            # Ask for frames from Radiance every 20 ms (50 FPS).\n            # On flaky connections, set this to zero.\n            # Doing so will request frames one-by-one in a synchronous manner,\n            # which will avoid network congestion.\n            self.period = 20\n    \n        # This gets called every time a frame is received.\n        def on_frame(self, frame):\n            # This is where you would output to LED strips\n            # or whatever hardware you have.\n    \n            # For now, lets just print out the RGB values for the first few pixels\n            # to the console.\n            # Print the RGB values for the first few pixels to the console\n            print(frame[0:5])\n    \n    # Turn on logging so we can see debug messages\n    logging.basicConfig(level=logging.DEBUG)\n    \n    # Construct our device\n    device = Example()\n    \n    # Start it going\n    device.serve_forever()\n    ",
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        "home_page": "https://radiance.video",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "radiance",
        "package_url": "https://pypi.org/project/radiance/",
        "platform": "",
        "project_url": "https://pypi.org/project/radiance/",
        "project_urls": {
            "Homepage": "https://radiance.video"
        },
        "release_url": "https://pypi.org/project/radiance/0.1dev5/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Python tools for the Radiance video art system",
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