TODO

debounce_test.ipynb

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    "try:\n",
    "    import matplotlib\n",
    "except ImportError:\n",
    "    import pip\n",
    "    pip.main([\"install\", \"matplotlib\"])\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# Copied from\n",
    "# <https://ipywidgets.readthedocs.io/en/latest/examples/Widget%20Events.html#Debouncing>\n",
    "import asyncio\n",
    "\n",
    "class Timer:\n",
    "    def __init__(self, timeout, callback):\n",
    "        self._timeout = timeout\n",
    "        self._callback = callback\n",
    "\n",
    "    async def _job(self):\n",
    "        await asyncio.sleep(self._timeout)\n",
    "        self._callback()\n",
    "\n",
    "    def start(self):\n",
    "        self._task = asyncio.ensure_future(self._job())\n",
    "\n",
    "    def cancel(self):\n",
    "        self._task.cancel()\n",
    "\n",
    "def debounce(wait):\n",
    "    \"\"\" Decorator that will postpone a function's\n",
    "        execution until after `wait` seconds\n",
    "        have elapsed since the last time it was invoked. \"\"\"\n",
    "    def decorator(fn):\n",
    "        timer = None\n",
    "        def debounced(*args, **kwargs):\n",
    "            nonlocal timer\n",
    "            def call_it():\n",
    "                fn(*args, **kwargs)\n",
    "            if timer is not None:\n",
    "                timer.cancel()\n",
    "            timer = Timer(wait, call_it)\n",
    "            timer.start()\n",
    "        return debounced\n",
    "    return decorator"
   ]
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      "text/plain": [
       "interactive(children=(Output(),), _dom_classes=('widget-interact',))"
      ]
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    }
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   "source": [
    "import matplotlib.patheffects\n",
    "import numpy\n",
    "from ipywidgets import widgets\n",
    "\n",
    "@widgets.interact\n",
    "# Uncomment this and restart the kernel. Plots will now appear at level \"info\" in the log console\n",
    "@debounce(1)\n",
    "def widget(lo=1, hi=10, scale=5):\n",
    "    display(f\"scaling to {scale}\")\n",
    "    data = {i: 2 ** i for i in numpy.arange(lo, hi, -0.1 if hi < lo else 0.1)}\n",
    "    matplotlib.rcParams.update(matplotlib.rcParamsDefault)\n",
    "\n",
    "    with matplotlib.style.context(\"ggplot\"):\n",
    "        fig = matplotlib.pyplot.figure(\n",
    "            figsize=(scale, scale / 16 * 9),\n",
    "        )\n",
    "        xmin, ymin, dx, dy = 0, 0, 1, 1\n",
    "        ax = fig.add_axes((xmin, ymin, dx, dy))\n",
    "        xs, ys = zip(*data.items())\n",
    "        ax.plot(xs, ys, path_effects=[\n",
    "            matplotlib.patheffects.SimpleLineShadow(),\n",
    "            matplotlib.patheffects.Normal(),\n",
    "        ])\n",
    "        matplotlib.pyplot.show()\n",
    "\n",
    "widget()"
   ]
  }
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