{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pyfluidsynth\n",
      "  Using cached pyFluidSynth-1.3.0-py3-none-any.whl (18 kB)\n",
      "Requirement already satisfied: numpy in /Users/brunobiehler/.pyenv/versions/3.8.12/envs/lewagon/lib/python3.8/site-packages (from pyfluidsynth) (1.18.5)\n",
      "\u001b[33mWARNING: Error parsing requirements for requests: [Errno 2] No such file or directory: '/Users/brunobiehler/.pyenv/versions/3.8.12/envs/lewagon/lib/python3.8/site-packages/requests-2.26.0.dist-info/METADATA'\u001b[0m\n",
      "Installing collected packages: pyfluidsynth\n",
      "Successfully installed pyfluidsynth-1.3.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pyfluidsynth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'pyfluidsynth'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/40/9_20qq053njgzvtqkynnfzfh0000gn/T/ipykernel_40605/706875742.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0minterpreter\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mitp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mpyfluidsynth\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pyfluidsynth'"
     ]
    }
   ],
   "source": [
    "import jams\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import interpreter as itp\n",
    "import pyfluidsynth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Change This Cell!\n",
    "gs_path = \"/Users/brunobiehler/code/hozefazs/autotab/data/GuitarSet/\"\n",
    "anno_dir = \"annotation/\"\n",
    "excerpt = \"00_BN1-129-Eb_comp.jams\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "jam = jams.load(os.path.join(gs_path+anno_dir, excerpt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "instructed_chords = jam.search(namespace='chord')[0]\n",
    "performed_chords = jam.search(namespace='chord')[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x2100 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,7), dpi=300)\n",
    "ax1 = plt.subplot(211)\n",
    "itp.visualize_jams_pt(jam) #pt for pitch track\n",
    "ax2 = plt.subplot(212, sharex=ax1)\n",
    "itp.tablaturize_jams(jam)\n",
    "plt.xlim(4.9, 10) # this is the time window in seconds that I'm plotting\n",
    "\n",
    "itp.add_annotations(ax1, performed_chords, ygrow_ratio=0.04, label_xoffset=0.06, label_yoffset=2)\n",
    "itp.add_annotations(ax2, instructed_chords, ygrow_ratio=0.2, label_xoffset=0.06, label_yoffset=-0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "itp.visualize_jams_note(jam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "itp.visualize_jams_pt(jam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(1, 1, '{\\n  \"annotations\": [\\n    {\\n      \"annotation_metadata\": {\\n        \"curator\": {\\n          \"name\": \"\",\\n          \"email\": \"\"\\n        },\\n        \"annotator\": {},\\n        \"version\": \"\",\\n        \"corpus\": \"\",\\n        \"annotation_tools\": \"\",\\n        \"annotation_rules\": \"\",\\n        \"validation\": \"\",\\n        \"data_source\": \"0\"\\n      },\\n      \"namespace\": \"pitch_contour\",\\n      \"data\": {\\n        \"time\": [\\n          7.463079364999999,\\n          7.468884353000021,\\n          7.474689342000033,\\n          7.480494331000045,\\n          7.486299319000068,\\n          7.49210430800008,\\n          7.497909297000092,\\n          7.503714285000001,\\n          7.509519274000013,\\n          7.515324263000025,\\n          7.521129251000048,\\n          7.52693424000006,\\n          7.532739229000072,\\n          7.538544217000094,\\n          7.544349205999993,\\n          7.550154195000005,\\n 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      ]
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     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "itp.plt.Annotation(jam, xy=(1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "fluidsynth() was called but pyfluidsynth is not installed.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/40/9_20qq053njgzvtqkynnfzfh0000gn/T/ipykernel_40605/1897480449.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mitp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msonify_jams\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjam\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Documents/GitHub/GuitarSet/visualize/interpreter.py\u001b[0m in \u001b[0;36msonify_jams\u001b[0;34m(jam, fpath, q)\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0msonify_jams\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m     \u001b[0mmidi\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjams_to_midi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# q=1 : with pitchbend\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m     \u001b[0msignal_out\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmidi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfluidsynth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     52\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfpath\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m         \u001b[0msave_small_wav\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msignal_out\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m44100\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.12/envs/lewagon/lib/python3.8/site-packages/pretty_midi/pretty_midi.py\u001b[0m in \u001b[0;36mfluidsynth\u001b[0;34m(self, fs, sf2_path)\u001b[0m\n\u001b[1;32m    943\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    944\u001b[0m         \u001b[0;31m# Get synthesized waveform for each instrument\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 945\u001b[0;31m         waveforms = [i.fluidsynth(fs=fs,\n\u001b[0m\u001b[1;32m    946\u001b[0m                                   sf2_path=sf2_path) for i in self.instruments]\n\u001b[1;32m    947\u001b[0m         \u001b[0;31m# Allocate output waveform, with #sample = max length of all waveforms\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.12/envs/lewagon/lib/python3.8/site-packages/pretty_midi/pretty_midi.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    943\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    944\u001b[0m         \u001b[0;31m# Get synthesized waveform for each instrument\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 945\u001b[0;31m         waveforms = [i.fluidsynth(fs=fs,\n\u001b[0m\u001b[1;32m    946\u001b[0m                                   sf2_path=sf2_path) for i in self.instruments]\n\u001b[1;32m    947\u001b[0m         \u001b[0;31m# Allocate output waveform, with #sample = max length of all waveforms\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.12/envs/lewagon/lib/python3.8/site-packages/pretty_midi/instrument.py\u001b[0m in \u001b[0;36mfluidsynth\u001b[0;34m(self, fs, sf2_path)\u001b[0m\n\u001b[1;32m    454\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    455\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0m_HAS_FLUIDSYNTH\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 456\u001b[0;31m             raise ImportError(\"fluidsynth() was called but pyfluidsynth \"\n\u001b[0m\u001b[1;32m    457\u001b[0m                               \"is not installed.\")\n\u001b[1;32m    458\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mImportError\u001b[0m: fluidsynth() was called but pyfluidsynth is not installed."
     ]
    }
   ],
   "source": [
    "itp.sonify_jams(jam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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