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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "16651843",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "573c77a0af1944859cce1eeb2c6eadea",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(Accordion(children=(GridBox(children=(Label(value='CH2'), Label(value='CH3'), Label(value='CH4'…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DEBUG:/home/mendel/portiloop-software/portiloop/sounds/stimulus.wav\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception in thread Thread-5:\n",
      "Traceback (most recent call last):\n",
      "  File \"/usr/lib/python3.7/threading.py\", line 917, in _bootstrap_inner\n",
      "    self.run()\n",
      "  File \"/usr/lib/python3.7/threading.py\", line 865, in run\n",
      "    self._target(*self._args, **self._kwargs)\n",
      "  File \"/home/mendel/portiloop-software/portiloop/src/capture.py\", line 920, in start_capture\n",
      "    stimulator = stimulator_cls() if stimulator_cls is not None else None\n",
      "  File \"/home/mendel/portiloop-software/portiloop/src/stimulation.py\", line 81, in __init__\n",
      "    self.pcm = alsaaudio.PCM(channels=f.getnchannels(), rate=f.getframerate(), format=format, periodsize=self.periodsize, device=device)\n",
      "alsaaudio.ALSAAudioError: Device or resource busy [default]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from portiloop.src.capture import Capture\n",
    "from portiloop.src.detection import SleepSpindleRealTimeDetector\n",
    "from portiloop.src.stimulation import SleepSpindleRealTimeStimulator\n",
    "\n",
    "my_detector_class = SleepSpindleRealTimeDetector  # you may want to implement yours\n",
    "my_stimulator_class = SleepSpindleRealTimeStimulator  # you may also want to implement yours\n",
    "\n",
    "cap = Capture(detector_cls=my_detector_class, stimulator_cls=my_stimulator_class)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cded6bbc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.0b2 ('venv': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  },
  "vscode": {
   "interpreter": {
    "hash": "770b75f59a9c369b74cb4cefed633f309c892e213e0ed32eed0937c0a5627480"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}