{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 11.7. Creating a sound synthesizer in the Notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import (\n",
    "    Audio, display, clear_output)\n",
    "from ipywidgets import widgets\n",
    "from functools import partial\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "rate = 16000.\n",
    "duration = .25\n",
    "t = np.linspace(\n",
    "    0., duration, int(rate * duration))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def synth(f):\n",
    "    x = np.sin(f * 2. * np.pi * t)\n",
    "    display(Audio(x, rate=rate, autoplay=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "podoc": {
     "output_text": "Sound widget"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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frK2tnZmZIYRcu3btueees9rNN9cGgJewlDT3sxfus4Y5r7eHZk30q0fshmRmcyojFUsX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\nLzgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "Sound widget"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "synth(440)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "notes = 'C,C#,D,D#,E,F,F#,G,G#,A,A#,B,C'.split(',')\n",
    "freqs = 440. * 2**(np.arange(3, 3 + len(notes)) / 12.)\n",
    "notes = list(zip(notes, freqs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "podoc": {
     "output_text": "Synthesizer in the notebook"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1Ehf8QHlvMDExoWaGUoTr3ACib+KRfOZmDNL2\nffiFxzUes+/zuNTa2nr+/PmAq6xW6/Lly336Ans8nv7+/oGBgajUDlFCi44Qi8Wyd+9ep9MpSdJE\nUDOfIDIgt9sdfP8ej6e4uPiZZ55hqhAAwLQIMAXW3d39xz/+8fXXX29vb1cn6ooypTOOIkhXFyFE\nSkqKwfB1ZzR15JTq3XffVVJKu93uo0eP+qxVtw9ehBBi8eLF/u+abVW999Pf369ULCzGxsYuXLig\nLFdVVYWwh7AcClmW33nnHWV5aGjoxIkT3mtDO1D+pYTr3ACi796g3NEfg9vCrgG5cyCeb0dj4sSJ\nEwFvbnU6XUpKiveXmMLlcvmEyzHf0aIjx2QyNTQ0lJeXx7BPvclkKisrO3jwoP9kIwAA+CPANKXx\n8fEzZ8785S9/OXfuXG9vb/RnylNTQRuNRqPRGGRLSZLU2XyUjM4zND4+robPpn0w5T1hkMvl8l7l\n/ees9jM6OjrDqk7r/PnzSjfyrKysgJmzgwvXofDh0wNO/Ux9dhKQdzV8PtYonBtAhFy9E5t+obIQ\nNzri/HY0+u7cueMd7/aWkJDgH/4eGxsbHByMfL0QPbToiDKZTPv37y8vLw+hX7Z2Fotl48aNRJcA\nADNHgCkYj8fT3t7+1ltvvfHGGxcvXgxjd5uZUEfdz+R3Xd3GP2SzY8cOJROQ0Wj0mXzae2D/tKV4\nP0DzCVWEaz9anDlzRlnYvHlzCG8P178gSdKePXuUDCMpKSl1dXUhl+K9gc/HGq5zA4i+z+7F7J7w\n1v34vx2NMrfbrc7b4MNms/mPNX748OHw8HDk64XooUVHmslk2rdvX21tbZRHqNlstpqamn379hFd\nAgDMHEm+pzc6Onr58uX29vbPP/+8qqrKO/9ORKlBhIApVH2ow6D8k0GuWrXqt7/9bW9vb1pamk+v\nGe/ZSabNuqoW4V9KuPYTss7OTiVluE6nq6ioCGEPYfwXnnrqqYqKiuHh4YyMDJ/uRd4bT/uxBikl\nXOfGfDQ06nnzg9Hzt3XtA3x9zU+yEDFK8RyTgTzxze12t7e3B1xlNpsTExN9XpyYmCDSrejpH/3f\nr3/yxYO0CVOYZ1ONNlp05Nlstvr6er1ef/z4ce+u0JFjtVqrq6vr6ursdnsUigMAxA3u0GZEluWe\nnp7Tp09/9dVX5eXl5eXlUXiOFNqgvIBZya1Wa8BU0CGnMPd5Y7j2EzI1vfe6dev8Z8qLaE0CvjEp\nKSkpKcn/9ZAHWvqUEsZzY955/ezwkWu+c/NhHpGFJInYnIr90bgvW1hkWe7v7w+4ymg0+g/qUdIJ\nR75e88D/vHrlS3epmP+ToNGio8PhcGzdulWW5aampkgPeLdYLGVlZXV1dcEnPAEAwB8BplmYnJy8\nfft2d3f3p59+unfv3tzcXOZangvcbvcHH3ygLIeW3hvzSPOX8/+GbIGTYhboHInrOadiQpblqfpT\n6PV6/wxxbrdb44xXcaP14VIRLIHe/EGLjpakpKT6+nqXy3X27NnIdUk2mUylpaV79uwJ7XEdAGCB\nI8A0O7IsT05Ojo+PezweWZYJMM0FV69eHRoaEkI4HI7169fHujqIrD6XfvqNgED0fGFHwGx/B+Oj\nK6V2bmNarKsw7y3AFp2YmNjQ0CCEiFCMyWAwOJ3O5557jrxLAIDQEGCaBb1en5mZuXnz5qqqqiin\nWkQQ6vi4iooKvZ7oQ5xLs7n7RvmU5zFJSCJGA2ps5oV3Pxph3vNU+nC73erUnKqA3ZoWJv1En9sU\nDzEmWnSUmUymhoYGj8dz7ty58A44NZlMTqeTOeMAAFoQYJqp1NTU1atXb9u2raCgIDolhtY9aiZZ\nn7ULVxxH+34GBwevXbumLFdWVmqu0azN6l8Iucubz8c6l8+NSKtcPkEOpnlNluVYdf1MDhwJQegk\nSUpLCxwlmZyc9J48QUGASVVgvfWlOx4CTLTo6DOZTPv375dl+aOPPvJvZaGxWCylpaX0XQIAaESA\naXo2m23VqlUbN24sLi6O5pWxyfR1rhm32z3txmrW51ldGXhvPG0p3oml1bqFdz8hOHv2rDLgorCw\nMDs7O+T9ROdf8N54VqX4fKxRODfmrP/abBdi+GKbsWOQr6/5KXZ9DnLTFmJ/h4jS6/VTPXQZHx/3\nT89kMpno/6v45QvF//PqhTtjSyZMof9yzQm06FgwmUz79u1LTEw8efKky+XSuDebzVZVVbVz5874\nuE4AAMQQd2jB6HS6rKysqqqq9evXp6enR7kDiNX6dTeNmXSBVqcU8Z+1ZyZFzKQU76dkPqWEaz8h\nOHv2rLKgMb13dP6FWZXiPU3MVAc8cufGnOWw6f67PsAMfZgv/n7e/X9PTx8YjYT8RQv3djRC9Hr9\nsmXLAq4aHR0dGBjwedFsNicmJka+XvNAeqrt//yviljXIgxo0bFis9nq6+v1ev3x48enyrU/E1ar\ntbq6uq6uzm63h7F6AICFiQDTlMxmc0lJyZYtW/Ly8mLySEd9zKukFQ9SB1mW1SDCrB4Om81mvV6v\n9IIZHh4OvrF3vMOnFO8cHLPaz1TJO2bos88+u3fvnhDCbDY7nU4tuwrXoQjOe+NpLwdHR0enKiUK\n5wYQIevzdJJwRz9liyTE2px4GCU6p+Tk5GRlZQVcNTo62tfX5/Oi1Wpl4vM4Q4uOIYfDsXXrVlmW\nm5qavK9MZs5isZSVldXV1dEwAQBhsdB/m6eSnp5+6NChAwcOFBYWxqrDcEZGhrp8//79IFsODAyo\nuVS93zWrUoIXIYTo7u5WlzMzM0Orqvd+0tLSNA6RU9N7l5aWencOCk1YDsUMi5hJKT09PQHfOKv9\naDk3gEhYkiJlp8TgpyczWVqSwvxlYVZdXW0wBHhS5fF4+vr6vL8qFQkJCYsWLYpK1RAltOjYSkpK\nqq+vLy8vD+Fi1WQylZaW7tmzJzU1lWmRAQBhQYDpG3Q6ndVqra+v//Wvf+10OhMSEmKYFzknJ0dd\nvn37dpAtOzo61OXZ5iHKzc1VFlwuV29vb5AtOzs7pypF3YkQoq2tLchOHj58qAZEtKRMEkKMjY1d\nuHBBWQ5Leu+wHIrg7HZ7UtLXw7uCf6bC62M1Go2LFy/2XhWdcwOIBJNBbH48BncyGwt1iQtyzqnI\nWbJkSXl5ecBVY2Njra2tjx498n5Rp9OlpKRMlRQc8xQtOuYSExMbGho2b948qxiTwWBwOp3PPfdc\ncnJy5OoGAFhoCDB9TZIkq9W6evXqw4cPNzQ0aE8+rZ13YosbN24E2bKlpUVdXr58eYRK+fjjj5UF\nk8nkHVESQmRmZqppNVpaWpSs2wF98skn6trCwsJZVdXH+fPnx8fHldJXrFihZVeKsByKmZfS29ur\njO8LyOVytba2qm/xebQYnXMDiASDTt60TOeI7kyAiRZRWiBZYv+9Hj+sVut3v/vdqabRHBoa8v7y\nUd/y2GOP0VEiztCi5wKTydTQ0FBeXj7Dy1eTyVRWVnbw4EGyegMAwosAk5AkyWAw5OTkbN++/dCh\nQ2vWrJnVxPORk5ubq45punjx4uDgYMDNxsfHP/jgA2U5MTFxtkGEkpISdfn48eNTbXbr1q07d+4o\ny0VFRT5XMJIkfetb31KWBwYGLl26NNV+Tp06FbDoEJw5c0ZZ2Lx5s5b9qMJyKKb1xBNPzKSU06dP\nq5E49diqonNuAJEgSVJWsqhYrtdFK9AgScK5VPfYIilqJcY9s9lcXV29atWqgGs9Hk9bW5t3T08h\nhCRJNpvt8ccfj0oFET1qi45a86JFB2Qymfbv319eXj7thB4Wi2Xjxo1ElwAAkUCSb5GUlOR0OktL\nSwsKCgLmkoih8vLyf//730KIR48e/fWvf/3JT37i/+z3n//8p5qUetOmTQHH9A0NDd29ezcjI8O/\nI3Rqaurq1as/+eQTIUR7e/u777775JNP+mwzOTn5t7/9zbtW/kVs3rxZjfi8+eabK1eu9J8q6NKl\nS9evX1eWc3NzZ9v3x1tnZ+dXX30lhJAkKVwBpnAdCiFEd3f30NBQTk6Of2aoDRs22Gw2JYH3iRMn\nysrK/Hty9fT0vPPOO8qy0WgsLS31LyJc5wYQfXarVL1K+qRLtAUbiho2GUlS9UpdSkL83IsWFhbu\n3bt3Jlv29/dfu3btwYMHYSzdaDQ6nc7a2tqpMt+NjY2dOnXK4/H4vJ6ZmZmXlxfGmmCOUFr0xx26\njn7fDz0S4q9Fh4vJZNq3b19iYuLJkyddLlfAbWw2W1VV1c6dO4kuAQAiQf+rX/1K+178ryOj6ciR\nI6G9Ua/XFxUVffvb366oqMjKypqDt98FBQVnz559+PChEOLu3bsdHR3Lli1TZ15zuVxvvvnm+++/\nr/xpsVgOHz7sf8XQ0tLy8ssvnz59uqmpKSMjwzt9j2LJkiVqxyJlgFt+fr7RaFReuXv37p/+9Kcv\nvvhC+bOwsPDZZ5/1r2paWlpbW5sy5mt0dPTq1av5+fmpqanK2kePHp06deq1115TpmkTQvzgBz/Q\nknP62LFjX375pRBiw4YNNTU1Ie/HR1gOxdGjR3//+983Nzc3NzevW7fO4XB4rzUajQaDQRnXJsvy\npUuX0tLSsrOz1fBQS0vLH/7wB/WGcMeOHQG7eoXl3ABiQpKE3SI9nBSf3ZUfRfjXw2wQ1Sv1tWv0\nFmNkC4qm1NTUlTOjxK87OjomJiZmvv+A0Svlp1aZX3Xnzp3p6elTDXa7ePHi8ePHfS4MjEbj1q1b\n6UcZl5QWPTQmf9VDi44xo9GYk5MjSVJnZ6d/q7darTU1NfX19XMz79IcGUAAANBibnXYiab09PSa\nmpri4uLMzMw5mxLCbDZ///vf/93vfqdcqV+6dOny5cu5ubnJyckjIyNtbW1qvEYIcfDgQZ9YhuLd\nd99VLjLcbvfRo0fLysp8NsjPz9+9e/fbb78thJBl+T//+c+xY8fy8vKsVmt/f7/3MAer1fq9731v\nqtoeOHCgtbVVGa7V1dX18ssvZ2RkpKenT0xMdHR0eD9Mq6ysXLduXWjHRPlHzp07pyyHq/uSQvuh\nkGVZ7Xw0NDR04sSJgwcP+mxTW1t75cqVmzdvCiFcLtef//zn119/fcmSJTqd7t69e94Te+fm5u7a\ntStgVcNybgCxkmAWNSulT7t0l1o9nojNBCVJ4vFM3Y51Ovs0Q0bilsPh2LZtmxDi2LFjStK6kCmZ\nCrdu3VpdXZ2WljbV7+bIyMjRo0d90nsrNfEeIIw4k2AWtaul1vu06NhzOBxbt26VZbmpqWlsbEx9\n3WKxlJWV1dXVpaSkxLB6AID4thB7MBmNxvXr1x84cGDDhg3JyclzNrqkyMjIyMrKun79uhovePDg\nQXd398DAgJqjR6/XHzhwYKqOPB9++KE6V7TdblduNnysXr364cOHSp8gIYTb7e7v7+/p6VEHWAkh\nHA7HT3/604KCgqmqarPZioqKrl+/roz/EkK4XK6enp6+vr7JyUl1s/Ly8kOHDmk57FeuXGlublaq\n9MILL4S365n2Q9HY2Kh+WAUFBevXr/fZQKfTlZSU3Lp1S52rbnx8vLe39/79+97Xgnl5eS+++KLd\nbp+qqtrPDSCGEixisV26eVd+MDb9xqHJSJIO1ehXZi/oVC1mszk/P1+SJCWoPRMBezBdvXr1ueee\nKy8vT0pKCvIF/q9//evatWv+rz/55JPFxcUzrADmI7tVWmwXtOi5wGKx5Obmulyurq4u5QrBZDI5\nnc6nn346JSVlzl730oMJAOLAwgow6fX6xYsX79u37+mnn160aNF8+SVTpoIeHR3t7e31jtQIIUwm\nU3Fx8Y9//OMNGzZM9fbk5OTLly8/evTIaDQeOHBgyZIlATdbu3btmjVrBgYG+vr6fKaBczgcVVVV\nhw8fzsrKCl5Vh8NRXV2t1+v7+vrUMJNCkqTHH3/8+eef37lzp8aLm7feeksZi7dlyxYtPaGmouVQ\nSJKk1+uVRE4pKSnPP/98wAiR0WisqKhYvHhxX1+ff3qU7OzsXbt2HTp0aKoUJyqN5wYQQ5IkZSRJ\nGUnSxx3y6CzGb82UwyodrtVvLOReVBgMhpUrVwohvvzyy5n8XgcMMFVVVWVlZQXJVOjxeC5cuHD0\n6FH/gTnJyck/+tGP5lqWQ4SXJAla9NxhMplWrVo1PDzc1dUlSZKS1ds/OeacMl8uywEAQUhBZpSf\nOZ872yh74YUXpt1Gp9M5HI6ioqLdu3enp6dHvlIR4Xa7b9++PTAwMDo6arVak5OTH3vssZnMYjY2\nNtbb25uWlqbm6Am+cVtb29DQ0Pj4eGJiYmpqal5eXgghoc7Ozvv374+MjBgMBofDkZOTE5ZRWoOD\ngz/72c+U8/aVV16ZKl4WFiEfigcPHgwPD2dkZKj5m4Lo7+/v6uoaGhqSZdlut2dkZISQnSrkcwOI\nuQu3PH887ul+IHvC8XskhJAksdgu/WibftOyOZdZL4YePXrU2NjY1NQ0VfZf1auvvjrbnXs8ntbW\n1tdee629vd3nusJgMDzzzDP+cyYgXtGi546JiYk33nhjcnJyXswZN5NLJgDAHLcgAkwJCQkFBQWV\nlZVOp3POdgzGDDU2Nv7jH/8QQixduvSXv/xlrKsDIAw+bpf/34fum12eh5p/TMxGaVm6tH+T7okC\n7kV9uVyupqamkydPBp9XbrYBJo/H09XV9fe///3GjRve2d+EEJIkrVmz5oc//GFSUlIIFcY8RYue\nOyYmJmRZnvvRJUGACQDiQpz3VzcYDDk5OZs2bSopKQmSlBTziNlsrqurE0L45zYCME+tzZF+Wq9v\nuqE7+7mnvT/Efg+SJDIcUuUKXe0aKTeNe9EAEhIStm3bZjQa33vvveAxppmTZbm9vb2xsbGlpcUn\nuiSESE9Pr6+vD5JLDnGJFj130JcZABBN8RxgSkhI2Lhx48aNGwsKCvh9jRtKdAlAPJEkkZUsfbdU\nWpUtzn4uzn/lGRid/l3e7BZRulRXsVxXlKtzTJO7bEGz2+2VlZWTk5Pvv//+yMiIxr15PJ5bt269\n/fbbn376qf/McVartbKycvny5eGdigFzHy0aAICFKW4DTMuWLduxY8eyZcscDgcdlwBg7kswi5IC\nXWG6tGW17sIt+cMvPHcHp+n6IAmRmSyVLdOVFkh5aVJKoqTn+346DodDmU702LFj4+PjWnZ14cKF\nxsZGdaYqbzqdbu3atWVlZdNOVoB4RYsGAGChicMAk9VqffLJJ2tqahwOB09NAWAe0UkiNVFKSZBW\nZIqnS6S7g+JGh/zVfdHRJw+4ZNe4LCTJZhIpNpGdIhVmSGuXSEtSpASzsJgEk0vNnN1u3759u5jN\nNKw+hoaG3nnnnbNnz06VMrygoOCpp55KS0sLvZaY/2jRAAAsKHEVYDIajWvWrPnOd76Tm5tLryUA\nmKckSVhNwmrSLbKLotxY1yZOWSyWvXv3CiEaGxv9R7dNxePxPHz48MqVK42Njffu3ZtqnpDs7Oxn\nn322oKAgbNXFfEaLBgBggYiTAJPBYMjMzKyoqKiqqkpISIh1dQAAmAd27dolhGhqapqqI5LK5XI9\nePDg9u3bzc3NX3zxRZCYVHZ29vPPP798+fIw1xVYSMbGxsbGxmJdi28wm81cYwMAgouHAFNqauqa\nNWtqamqWLl1KxyUAAGbIYDAoMyecPHky+LxyR44cuXnzZsB0Syq9Xl9QUNDQ0EB0CdDC4/Fcv369\nubk51hX5hg0bNmzZskWv18e6IgCAuSseAkz79+8vKiqyWCyxrggAAPNMQkLCtm3bjEbje++9FyTG\n1NTUFHw/Vqu1pKRk+/btOTk54a4jsLB4PJ6enp4bN27EuiLfkJ6ePtWoWAAAFPEQYCotLY11FQAA\nmK/sdntlZeXk5OT7778/MjISwh7S09Orqqo2bdqUmpoa9uoBAABgXoiHABMAANDC4XBs27ZNCHHs\n2LFZvdFgMKxcubK2tnbFihVWqzUytQMAAMA8QIAJAAAIu92+ffv2Wb0lOTl59+7dTzzxRGJiIplZ\nAAAAFjgCTAAAQAghLBbL3r17g2+j0+kMBkNycnJ1dXVtba3ZbI5O3QAAADDHEWACAADT0Ol0VqvV\nZrNlZ2eXlJQUFxfb7fZYVwqIT5Ik2Wy2uZbRzGazMVkzACA4AkwAAGAamzZtys/PLywszM3NNRqN\nsa4OEM90Ol1RUVF6enqsK/INqampOp0u1rUAAMxpUlgmHJ2cnNS+EwAAMDfJskznBQCRQ+QaAOIA\nDyIAAMA0iC4BAAAgOAJMAAAAAAAA0IQAEwAAAAAAADQhwAQAAAAAAABNCDABAAAAAABAEwJMAAAA\nAAAA0IQAEwAAAAAAADQhwAQAAAAAAABNCDABAAAAAABAEwJMAAAAAAAA0IQAEwAAAAAAADQhwAQA\nAAAAAABNCDABAAAAAABAEwJMAAAAAAAA0IQAEwAAAAAAADQhwAQAAAAAAABNCDABAAAAAABAEwJM\nAAAAAAAA0IQAEwAAAAAAADQhwAQAAAAAAABNCDABAAAAAABAEwJMAAAAAAAA0IQAEwAAAAAAADQh\nwAQAAAAAAABNJFmWwmgJbQAAAPtJREFUY10HAAAAAAAAzGP0YAIAAAAAAIAmBJgAAAAAAACgCQEm\nAAAAAAAAaEKACQAAAAAAAJoQYAIAAAAAAIAmBJgAAAAAAACgCQEmAAAAAAAAaEKACQAAAAAAAJoQ\nYAIAAAAAAIAmBJgAAAAAAACgCQEmAAAAAAAAaEKACQAAAAAAAJoQYAIAAAAAAIAmBJgAAAAAAACg\nCQEmAAAAAAAAaEKACQAAAAAAAJoQYAIAAAAAAIAmBJgAAAAAAACgCQEmAAAAAAAAaEKACQAAAAAA\nAJoQYAIAAAAAAIAmBJgAAAAAAACgCQEmAAAAAAAAaEKACQAAAAAAAJr8f3fEU0FtGydIAAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "Synthesizer in the notebook"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "layout = widgets.Layout(\n",
    "    width='30px', height='60px',\n",
    "    border='1px solid black')\n",
    "\n",
    "buttons = []\n",
    "for note, f in notes:\n",
    "    button = widgets.Button(\n",
    "        description=note, layout=layout)\n",
    "\n",
    "    def on_button_clicked(f, b):\n",
    "        # When a button is clicked, we play the sound\n",
    "        # in a dedicated Output widget.\n",
    "        with widgets.Output():\n",
    "            synth(f)\n",
    "\n",
    "    button.on_click(partial(on_button_clicked, f))\n",
    "    buttons.append(button)\n",
    "\n",
    "# We place all buttons horizontally.\n",
    "widgets.Box(children=buttons)"
   ]
  }
 ],
 "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 2
}