├── README.md
├── AI_Tunes_GPT_3_Training.ipynb
├── License.txt
└── AI_Tunes_Generate_Music.ipynb


/README.md:
--------------------------------------------------------------------------------
 1 | # **AI-Tunes: Creating New Songs with Artificial Intelligence**
 2 | ### **How I fine-tuned OpenAI's GPT-3 to generate music with a global structure**
 3 | By Robert. A Gonsalves
 4 | 
 5 | You can read my article about this project on [Medium](https://towardsdatascience.com/ai-tunes-creating-new-songs-with-artificial-intelligence-4fb383218146).
 6 | 
 7 | The source code is released under the CC BY-SA license.
 8 | 
 9 | ![CC BY-NC-SA](https://licensebuttons.net/l/by-sa/4.0/88x31.png)
10 | 


--------------------------------------------------------------------------------
/AI_Tunes_GPT_3_Training.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |   "nbformat": 4,
  3 |   "nbformat_minor": 0,
  4 |   "metadata": {
  5 |     "colab": {
  6 |       "name": "AI-Tunes GPT-3 Training ",
  7 |       "provenance": [],
  8 |       "collapsed_sections": [],
  9 |       "toc_visible": true,
 10 |       "authorship_tag": "ABX9TyOMwUdHMvYuITMzehHUcLVz",
 11 |       "include_colab_link": true
 12 |     },
 13 |     "kernelspec": {
 14 |       "name": "python3",
 15 |       "display_name": "Python 3"
 16 |     },
 17 |     "language_info": {
 18 |       "name": "python"
 19 |     }
 20 |   },
 21 |   "cells": [
 22 |     {
 23 |       "cell_type": "markdown",
 24 |       "metadata": {
 25 |         "id": "view-in-github",
 26 |         "colab_type": "text"
 27 |       },
 28 |       "source": [
 29 |         "<a href=\"https://colab.research.google.com/github/robgon-art/ai-tunes/blob/main/AI_Tunes_GPT_3_Training.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
 30 |       ]
 31 |     },
 32 |     {
 33 |       "cell_type": "markdown",
 34 |       "metadata": {
 35 |         "id": "EVelIY2TaRy9"
 36 |       },
 37 |       "source": [
 38 |         "# **AI-Tunes: Creating New Songs with Artificial Intelligence**\n",
 39 |         "### **How I fine-tuned OpenAI's GPT-3 to generate music with a global structure**\n",
 40 |         "By Robert. A Gonsalves\n",
 41 |         "\n",
 42 |         "You can read my article about this project on [Medium](https://towardsdatascience.com/ai-tunes-creating-new-songs-with-artificial-intelligence-4fb383218146).\n",
 43 |         "\n",
 44 |         "The source code is released under the CC BY-SA license.\n",
 45 |         "\n",
 46 |         "![CC BY-NC-SA](https://licensebuttons.net/l/by-sa/4.0/88x31.png)\n"
 47 |       ]
 48 |     },
 49 |     {
 50 |       "cell_type": "markdown",
 51 |       "metadata": {
 52 |         "id": "bAP6FaK9hzTu"
 53 |       },
 54 |       "source": [
 55 |         "##**Initialize the System**"
 56 |       ]
 57 |     },
 58 |     {
 59 |       "cell_type": "code",
 60 |       "metadata": {
 61 |         "id": "5Qe6fbeWTc3J"
 62 |       },
 63 |       "source": [
 64 |         "!git clone https://github.com/robgon-art/music-geometry-eval\n",
 65 |         "!git clone https://github.com/00sapo/OpenEWLD\n",
 66 |         "!gsutil -q -m cp -r gs://magentadata/models/music_transformer/primers/* /content/\n",
 67 |         "!gsutil -q -m cp gs://magentadata/soundfonts/Yamaha-C5-Salamander-JNv5.1.sf2 /content/\n",
 68 |         "!apt-get update -qq && apt-get install -qq libfluidsynth1 build-essential libasound2-dev libjack-dev\n",
 69 |         "!pip install magenta\n",
 70 |         "!pip install pyfluidsynth\n",
 71 |         "!pip install openai\n",
 72 |         "import note_seq\n",
 73 |         "SF2_PATH = '/content/Yamaha-C5-Salamander-JNv5.1.sf2'\n",
 74 |         "SAMPLE_RATE = 16000\n",
 75 |         "\n",
 76 |         "!wget https://wim.vree.org/svgParse/xml2abc.py-143.zip\n",
 77 |         "!unzip xml2abc.py-143.zip\n",
 78 |         "import sys\n",
 79 |         "sys.path.append('/content/music-geometry-eval/music_geometry_eval')\n",
 80 |         "import music_geometry_eval\n",
 81 |         "import glob\n",
 82 |         "import random\n",
 83 |         "import music21\n",
 84 |         "import music_geometry_eval\n",
 85 |         "from collections.abc import Iterable\n",
 86 |         "import numpy as np\n",
 87 |         "random.seed(42)\n",
 88 |         "song_files = glob.glob(\"OpenEWLD/dataset/*/*/*.mxl\")\n",
 89 |         "random.shuffle(song_files)\n",
 90 |         "num_files = len(song_files)\n",
 91 |         "print(song_files)\n",
 92 |         "print(\"number of song files is\", num_files)\n",
 93 |         "\n",
 94 |         "transpose_dict = {\"G major\": 5, \"A- major\": 4, \"A major\": 3, \"B- major\": 2, \"B major\": 1, \"C major\": 0, \"D- major\": -1, \"D major\": -2, \"E- major\": -3, \"E major\": -4, \"F major\": -5, \"F# major\": -6}"
 95 |       ],
 96 |       "execution_count": null,
 97 |       "outputs": []
 98 |     },
 99 |     {
100 |       "cell_type": "markdown",
101 |       "metadata": {
102 |         "id": "Y8k890KUiCe9"
103 |       },
104 |       "source": [
105 |         "##**Evaluate the Song Files**"
106 |       ]
107 |     },
108 |     {
109 |       "cell_type": "code",
110 |       "metadata": {
111 |         "id": "gxPQe3mEi5_E"
112 |       },
113 |       "source": [
114 |         "keys = {}\n",
115 |         "metres = {}\n",
116 |         "\n",
117 |         "cmm_arr = np.empty((0), np.float32)\n",
118 |         "lm_arr = np.empty((0), np.float32)\n",
119 |         "cent_arr = np.empty((0), np.float32)\n",
120 |         "\n",
121 |         "for s in song_files:\n",
122 |         "  print(\"\\n\" + s)\n",
123 |         "  score = music21.converter.parse(s)\n",
124 |         "\n",
125 |         "  key = None\n",
126 |         "  metre = None\n",
127 |         "  part = score.parts[0]\n",
128 |         "  for p in part:\n",
129 |         "    if isinstance(p, Iterable):\n",
130 |         "      for n in p:\n",
131 |         "        if type(n) == music21.key.Key:\n",
132 |         "          key = n.name\n",
133 |         "        if type(n) == music21.meter.TimeSignature:\n",
134 |         "          metre = n.ratioString\n",
135 |         "\n",
136 |         "  if metre in metres.keys():\n",
137 |         "    metres[metre] += 1\n",
138 |         "  else:\n",
139 |         "    metres[metre] = 1\n",
140 |         "\n",
141 |         "  if key in keys.keys():\n",
142 |         "    keys[key] += 1\n",
143 |         "  else:\n",
144 |         "    keys[key] = 1\n",
145 |         "\n",
146 |         "  if not (metre == \"4/4\" or metre == \"2/2\"):\n",
147 |         "    continue\n",
148 |         "\n",
149 |         "  if not \"major\" in key:\n",
150 |         "    continue\n",
151 |         "\n",
152 |         "  print(key, metre)\n",
153 |         "\n",
154 |         "  if key in keys.keys():\n",
155 |         "    keys[key] += 1\n",
156 |         "  else:\n",
157 |         "    keys[key] = 1\n",
158 |         "\n",
159 |         "  if key in transpose_dict.keys():\n",
160 |         "    interval = transpose_dict[key]\n",
161 |         "    print(\"transposing from key\", key, \"to C major using interval\", interval)\n",
162 |         "    score = score.transpose(interval)\n",
163 |         "\n",
164 |         "  note_array = []\n",
165 |         "\n",
166 |         "  for p in part:\n",
167 |         "    if isinstance(p, Iterable):\n",
168 |         "      for n in p:\n",
169 |         "        if type(n) == music21.note.Note:\n",
170 |         "          note_array.append([int(n.pitch.ps), int(n.quarterLength*4+0.5)])\n",
171 |         "\n",
172 |         "  # print(note_array)\n",
173 |         "\n",
174 |         "  CMM = music_geometry_eval.calculate_time_supported_conjunct_melodic_motion(note_array)\n",
175 |         "  LM = music_geometry_eval.calculate_time_supported_limited_macroharmony(note_array, span_size=32)\n",
176 |         "  CENT = music_geometry_eval.calculate_time_supported_centricity(note_array, span_size=32)\n",
177 |         "\n",
178 |         "  print(\"CMM :\", round(CMM, 4))\n",
179 |         "  print(\"LM  :\", round(LM, 4))\n",
180 |         "  print(\"CENT:\", round(CENT, 4))\n",
181 |         "  \n",
182 |         "  cmm_arr = np.append(cmm_arr, CMM)\n",
183 |         "  lm_arr = np.append(lm_arr, LM)\n",
184 |         "  cent_arr = np.append(cent_arr, CENT)\n",
185 |         "\n",
186 |         "print(metres)\n",
187 |         "print(keys)"
188 |       ],
189 |       "execution_count": null,
190 |       "outputs": []
191 |     },
192 |     {
193 |       "cell_type": "markdown",
194 |       "metadata": {
195 |         "id": "1jid4deViGv8"
196 |       },
197 |       "source": [
198 |         "## **Show the Statistics**"
199 |       ]
200 |     },
201 |     {
202 |       "cell_type": "code",
203 |       "metadata": {
204 |         "id": "YxWpBVrOZKpq"
205 |       },
206 |       "source": [
207 |         "CMM_mean = cmm_arr.mean()\n",
208 |         "CMM_std = cmm_arr.std()\n",
209 |         "\n",
210 |         "LM_mean = lm_arr.mean()\n",
211 |         "LM_std = lm_arr.std()\n",
212 |         "\n",
213 |         "CENT_mean = cent_arr.mean()\n",
214 |         "CENT_std = cent_arr.std()\n",
215 |         "\n",
216 |         "print(\"Conjunct Melodic Motion (CMM) :\", round(CMM_mean, 4), \"±\", round(CMM_std, 4))\n",
217 |         "print(\"Limited Macroharmony    (LM)  :\", round(LM_mean, 4), \"±\", round(LM_std, 4))\n",
218 |         "print(\"Centricity              (CENT):\", round(CENT_mean, 4), \"±\", round(CENT_std, 4))"
219 |       ],
220 |       "execution_count": null,
221 |       "outputs": []
222 |     },
223 |     {
224 |       "cell_type": "markdown",
225 |       "metadata": {
226 |         "id": "HXx2UXq7iXyN"
227 |       },
228 |       "source": [
229 |         "## **Prepare the Training Data**"
230 |       ]
231 |     },
232 |     {
233 |       "cell_type": "code",
234 |       "metadata": {
235 |         "id": "bR5eeHio92KI"
236 |       },
237 |       "source": [
238 |         "import subprocess\n",
239 |         "from collections.abc import Iterable\n",
240 |         "\n",
241 |         "num_prompts = 0\n",
242 |         "prompt_file = open(\"songs.jsonl\", \"w\")\n",
243 |         "prompts = []\n",
244 |         "original_songs = []\n",
245 |         "for s in song_files:\n",
246 |         "  print(s)\n",
247 |         "  score = music21.converter.parse(s)\n",
248 |         "\n",
249 |         "  key = None\n",
250 |         "  metre = None\n",
251 |         "  part = score.parts[0]\n",
252 |         "  for p in part:\n",
253 |         "    if isinstance(p, Iterable):\n",
254 |         "      for n in p:\n",
255 |         "        if type(n) == music21.key.Key:\n",
256 |         "          key = n.name\n",
257 |         "        if type(n) == music21.meter.TimeSignature:\n",
258 |         "          metre = n.ratioString\n",
259 |         "  print(key, metre)\n",
260 |         "\n",
261 |         "  if not (metre == \"4/4\" or metre == \"2/2\"):\n",
262 |         "    continue\n",
263 |         "\n",
264 |         "  if not \"major\" in key:\n",
265 |         "    continue\n",
266 |         "\n",
267 |         "  if key in transpose_dict.keys():\n",
268 |         "    interval = transpose_dict[key]\n",
269 |         "    print(\"transposing from key\", key, \"to C major using interval\", interval)\n",
270 |         "    score = score.transpose(interval)\n",
271 |         "\n",
272 |         "  score.write('xml', fp='song.xml')\n",
273 |         "\n",
274 |         "  try:\n",
275 |         "    output_bytes = subprocess.check_output([\"python\", \"/content/xml2abc_143/xml2abc.py\", \"song.xml\", \"-u\", \"-d\", \"4\"], timeout=5)\n",
276 |         "    output = output_bytes.decode(\"utf-8\").strip()\n",
277 |         "    with open(\"song.txt\", \"w\") as abc_file:\n",
278 |         "      abc_file.write(output)\n",
279 |         "  except:\n",
280 |         "    print(\"Unexpected error:\", sys.exc_info()[0])\n",
281 |         "    continue\n",
282 |         "\n",
283 |         "  showed_title = False\n",
284 |         "  prompt_string = \"\"\n",
285 |         "  completion_string = \"\"\n",
286 |         "  is_header = True\n",
287 |         "  with open(\"song.txt\") as song_file:\n",
288 |         "    lines = song_file.readlines()\n",
289 |         "    for line in lines:\n",
290 |         "      line = line.replace(\"$\", \"\")\n",
291 |         "      line = line.replace(\"dc=\", \"\")\n",
292 |         "      line = line.strip()\n",
293 |         "\n",
294 |         "      if line.startswith(\"V:\"):\n",
295 |         "        is_header = False\n",
296 |         "\n",
297 |         "      if is_header:\n",
298 |         "        if line.startswith(\"X:\") or line.startswith(\"C:\"):\n",
299 |         "          prompt_string += line+\"\\n\"\n",
300 |         "\n",
301 |         "        if line.startswith(\"T:\") and not showed_title:\n",
302 |         "            prompt_string += line+\"\\n\"\n",
303 |         "            showed_title = True\n",
304 |         "      else:\n",
305 |         "        if not line.startswith(\"w:\") and not line.startswith(\"V:\"):\n",
306 |         "\n",
307 |         "          # remove end of line comments\n",
308 |         "          index = line.rfind('%')\n",
309 |         "          if index > 0:\n",
310 |         "            line = line[:index].strip()\n",
311 |         "\n",
312 |         "          # remove inline comments\n",
313 |         "          parts = line.split('\"')\n",
314 |         "          newline = \"\"\n",
315 |         "          for i, p in enumerate(parts):\n",
316 |         "            if i%2 == 0:\n",
317 |         "              newline += p\n",
318 |         "            elif not p.startswith(\"^\"):\n",
319 |         "              newline += '\"' + p + '\"'\n",
320 |         "          line = ' '.join(newline.split())\n",
321 |         "\n",
322 |         "          completion_string += line+\"\\n\"\n",
323 |         "\n",
324 |         "      if line.startswith(\"V:\"):\n",
325 |         "        is_header = False\n",
326 |         "\n",
327 |         "    prompt_string = prompt_string.replace(\":\",\": \")\n",
328 |         "    prompt_string = prompt_string.replace('\"', \"`\")\n",
329 |         "    prompt_string = prompt_string.replace(\"\\n\",\" $ \")\n",
330 |         "\n",
331 |         "    completion_string = completion_string.replace('\"', \"`\")\n",
332 |         "    completion_string = completion_string.strip().replace(\"\\n\",\" $ \")\n",
333 |         "\n",
334 |         "    prompt = '{\"prompt\": \"' + prompt_string + '<song>\", '\n",
335 |         "    prompt += '\"completion\": \" ' + completion_string + ' $ <end>\"}\\n'\n",
336 |         "\n",
337 |         "    if prompt not in prompts:\n",
338 |         "      original_songs.append(s)\n",
339 |         "      prompt_file.write(prompt)\n",
340 |         "      prompts.append(prompt)\n",
341 |         "      num_prompts += 1\n",
342 |         "\n",
343 |         "prompt_file.close()\n",
344 |         "print(\"num prompts is\", num_prompts)"
345 |       ],
346 |       "execution_count": null,
347 |       "outputs": []
348 |     },
349 |     {
350 |       "cell_type": "markdown",
351 |       "metadata": {
352 |         "id": "o4_76slDij7U"
353 |       },
354 |       "source": [
355 |         "# **Check the Training File**"
356 |       ]
357 |     },
358 |     {
359 |       "cell_type": "code",
360 |       "metadata": {
361 |         "id": "RZ5gLbUaEkYR"
362 |       },
363 |       "source": [
364 |         "!openai tools fine_tunes.prepare_data -f /content/songs.jsonl"
365 |       ],
366 |       "execution_count": null,
367 |       "outputs": []
368 |     },
369 |     {
370 |       "cell_type": "markdown",
371 |       "metadata": {
372 |         "id": "fh8MPqvump8m"
373 |       },
374 |       "source": [
375 |         "# **Train GPT-3**"
376 |       ]
377 |     },
378 |     {
379 |       "cell_type": "code",
380 |       "metadata": {
381 |         "id": "-5lvuiZLd5Hj"
382 |       },
383 |       "source": [
384 |         "!export OPENAI_API_KEY=\"<Your OpenAI API Key>\"; openai api fine_tunes.create -t songs.jsonl --model curie --n_epochs 5"
385 |       ],
386 |       "execution_count": null,
387 |       "outputs": []
388 |     },
389 |     {
390 |       "cell_type": "markdown",
391 |       "metadata": {
392 |         "id": "ho0Xy7cEmw0t"
393 |       },
394 |       "source": [
395 |         "# **Generate Five Songs**"
396 |       ]
397 |     },
398 |     {
399 |       "cell_type": "code",
400 |       "metadata": {
401 |         "id": "hol2mChWjzrr"
402 |       },
403 |       "source": [
404 |         "import openai\n",
405 |         "import music21\n",
406 |         "import numpy as np\n",
407 |         "from collections.abc import Iterable\n",
408 |         "import numpy as np\n",
409 |         "\n",
410 |         "CMM_mean = 2.2715\n",
411 |         "CMM_std = 0.4831\n",
412 |         "\n",
413 |         "LM_mean = 2.0305\n",
414 |         "LM_std = 0.5386\n",
415 |         "\n",
416 |         "CENT_mean = 0.3042\n",
417 |         "CENT_std = 0.0891\n",
418 |         "\n",
419 |         "band_name = \"I Lost My Voice\"\n",
420 |         "song_name = \"The Rare Pearls\"\n",
421 |         "prompt = \"X: 1 $ T: \" + song_name + \" $ C: \" + band_name + \" $ <song>\"\n",
422 |         "print(prompt)\n",
423 |         "print()\n",
424 |         "\n",
425 |         "openai.api_key = \"<Your OpenAI API Key>\"\n",
426 |         "\n",
427 |         "songs_with_scores = []\n",
428 |         "score_arr = np.empty((0), np.float32)\n",
429 |         "\n",
430 |         "for i in range(5):\n",
431 |         "  print(\"\\n  Generating Song\", i)\n",
432 |         "  response = openai.Completion.create(\n",
433 |         "      model=\"curie:ft-user-j0julqovorjakyuyt3kv3zci-2021-08-24-11-42-59\",\n",
434 |         "      prompt=prompt,\n",
435 |         "      stop = \" $ <end>\",\n",
436 |         "      temperature=0.75,\n",
437 |         "      top_p=1.0,\n",
438 |         "      frequency_penalty=0.0,\n",
439 |         "      presence_penalty=0.0,\n",
440 |         "      max_tokens = 1000)\n",
441 |         "\n",
442 |         "  print(response)\n",
443 |         "  print()\n",
444 |         "\n",
445 |         "  formatted_prompt = \"X: 1 $ T: \" + song_name + \" $ C: \" + band_name + \" $ L: 1/4 $ M: 4/4 $ K: C $ V: 1 treble\"\n",
446 |         "  formatted_prompt = formatted_prompt.replace(\" $ \", \"\\n\")\n",
447 |         "  formatted_prompt = formatted_prompt.replace(\"<song>\", \"\").strip()\n",
448 |         "\n",
449 |         "  formatted_song = response[\"choices\"][0][\"text\"].strip()\n",
450 |         "  formatted_song = formatted_song.replace('`', '\"')\n",
451 |         "  formatted_song = formatted_song.replace(\" $ \", \"\\n\")\n",
452 |         "  new_song = formatted_prompt+ \"\\n\" + formatted_song\n",
453 |         "  print(new_song)\n",
454 |         "  with open(\"new_song.abc\", \"w\") as new_song_file:\n",
455 |         "    new_song_file.write(new_song)\n",
456 |         "\n",
457 |         "  song = music21.converter.parse(\"new_song.abc\")\n",
458 |         "\n",
459 |         "  part = song.parts[0]\n",
460 |         "  chord_end = song.highestTime\n",
461 |         "  for pi in reversed(range(len(part))):\n",
462 |         "    p = part[pi]\n",
463 |         "    for ni in reversed(range(len(p))):\n",
464 |         "      n = p[ni]\n",
465 |         "      if type(n) == music21.harmony.ChordSymbol:\n",
466 |         "        chord_start = p.offset + n.offset\n",
467 |         "        n.duration.quarterLength = chord_end - chord_start\n",
468 |         "        n.volume = music21.volume.Volume(velocity=48)\n",
469 |         "        chord_end = chord_start\n",
470 |         "      elif type(n) == music21.note.Note:\n",
471 |         "        n.volume = music21.volume.Volume(velocity=64)\n",
472 |         "  file_name = \"song\" + str(i).zfill(2) + \".mid\"\n",
473 |         "  song.write('midi', fp=file_name)\n",
474 |         "\n",
475 |         "  part = song.parts[0]\n",
476 |         "  note_array = []\n",
477 |         "\n",
478 |         "  for p in part:\n",
479 |         "    if isinstance(p, Iterable):\n",
480 |         "      for n in p:\n",
481 |         "        if type(n) == music21.note.Note:\n",
482 |         "          note_array.append([int(n.pitch.ps), int(n.quarterLength*4+0.5)])\n",
483 |         "\n",
484 |         "  CMM = music_geometry_eval.calculate_time_supported_conjunct_melodic_motion(note_array)\n",
485 |         "  LM = music_geometry_eval.calculate_time_supported_limited_macroharmony(note_array, span_size=32)\n",
486 |         "  CENT = music_geometry_eval.calculate_time_supported_centricity(note_array, span_size=32)\n",
487 |         "\n",
488 |         "  print(\"  CMM :\", round(CMM, 4))\n",
489 |         "  print(\"  LM  :\", round(LM, 4))\n",
490 |         "  print(\"  CENT:\", round(CENT, 4))\n",
491 |         "\n",
492 |         "  norm_cmm = (CMM - CMM_mean) / CMM_std\n",
493 |         "  norm_lm = (LM - LM_mean) / LM_std\n",
494 |         "  norm_cent = (CENT - CENT_mean) / CMM_std\n",
495 |         "\n",
496 |         "  norm_score_squared = norm_cmm * norm_cmm + norm_lm * norm_lm + norm_cent * norm_cent\n",
497 |         "  print(\"  NDM:\", round(norm_score_squared, 4))\n",
498 |         "  score_arr = np.append(score_arr, norm_score_squared)\n",
499 |         "\n",
500 |         "  songs_with_scores.append([norm_score_squared, file_name])\n",
501 |         "\n",
502 |         "songs_with_scores.sort()\n",
503 |         "for pair in songs_with_scores:\n",
504 |         "  print(round(pair[0], 4), pair[1])"
505 |       ],
506 |       "execution_count": null,
507 |       "outputs": []
508 |     },
509 |     {
510 |       "cell_type": "markdown",
511 |       "metadata": {
512 |         "id": "8uKW0IhneCGl"
513 |       },
514 |       "source": [
515 |         "# **Choose a Song and Play It**\n"
516 |       ]
517 |     },
518 |     {
519 |       "cell_type": "code",
520 |       "metadata": {
521 |         "id": "9e4wRsJQfDmk"
522 |       },
523 |       "source": [
524 |         "song_number = 0\n",
525 |         "\n",
526 |         "melody_ns = note_seq.midi_file_to_sequence_proto(songs_with_scores[song_number][1])\n",
527 |         "print(round(songs_with_scores[song_number][0], 4), songs_with_scores[song_number][1])\n",
528 |         "\n",
529 |         "note_seq.play_sequence( \n",
530 |         "  melody_ns,\n",
531 |         "  synth=note_seq.fluidsynth, sample_rate=SAMPLE_RATE, sf2_path=SF2_PATH)\n",
532 |         "note_seq.plot_sequence(melody_ns)"
533 |       ],
534 |       "execution_count": null,
535 |       "outputs": []
536 |     }
537 |   ]
538 | }


--------------------------------------------------------------------------------
/License.txt:
--------------------------------------------------------------------------------
  1 | Attribution-ShareAlike 4.0 International
  2 | 
  3 | =======================================================================
  4 | 
  5 | Creative Commons Corporation ("Creative Commons") is not a law firm and
  6 | does not provide legal services or legal advice. Distribution of
  7 | Creative Commons public licenses does not create a lawyer-client or
  8 | other relationship. Creative Commons makes its licenses and related
  9 | information available on an "as-is" basis. Creative Commons gives no
 10 | warranties regarding its licenses, any material licensed under their
 11 | terms and conditions, or any related information. Creative Commons
 12 | disclaims all liability for damages resulting from their use to the
 13 | fullest extent possible.
 14 | 
 15 | Using Creative Commons Public Licenses
 16 | 
 17 | Creative Commons public licenses provide a standard set of terms and
 18 | conditions that creators and other rights holders may use to share
 19 | original works of authorship and other material subject to copyright
 20 | and certain other rights specified in the public license below. The
 21 | following considerations are for informational purposes only, are not
 22 | exhaustive, and do not form part of our licenses.
 23 | 
 24 |      Considerations for licensors: Our public licenses are
 25 |      intended for use by those authorized to give the public
 26 |      permission to use material in ways otherwise restricted by
 27 |      copyright and certain other rights. Our licenses are
 28 |      irrevocable. Licensors should read and understand the terms
 29 |      and conditions of the license they choose before applying it.
 30 |      Licensors should also secure all rights necessary before
 31 |      applying our licenses so that the public can reuse the
 32 |      material as expected. Licensors should clearly mark any
 33 |      material not subject to the license. This includes other CC-
 34 |      licensed material, or material used under an exception or
 35 |      limitation to copyright. More considerations for licensors:
 36 |     wiki.creativecommons.org/Considerations_for_licensors
 37 | 
 38 |      Considerations for the public: By using one of our public
 39 |      licenses, a licensor grants the public permission to use the
 40 |      licensed material under specified terms and conditions. If
 41 |      the licensor's permission is not necessary for any reason--for
 42 |      example, because of any applicable exception or limitation to
 43 |      copyright--then that use is not regulated by the license. Our
 44 |      licenses grant only permissions under copyright and certain
 45 |      other rights that a licensor has authority to grant. Use of
 46 |      the licensed material may still be restricted for other
 47 |      reasons, including because others have copyright or other
 48 |      rights in the material. A licensor may make special requests,
 49 |      such as asking that all changes be marked or described.
 50 |      Although not required by our licenses, you are encouraged to
 51 |      respect those requests where reasonable. More considerations
 52 |      for the public:
 53 |     wiki.creativecommons.org/Considerations_for_licensees
 54 | 
 55 | =======================================================================
 56 | 
 57 | Creative Commons Attribution-ShareAlike 4.0 International Public
 58 | License
 59 | 
 60 | By exercising the Licensed Rights (defined below), You accept and agree
 61 | to be bound by the terms and conditions of this Creative Commons
 62 | Attribution-ShareAlike 4.0 International Public License ("Public
 63 | License"). To the extent this Public License may be interpreted as a
 64 | contract, You are granted the Licensed Rights in consideration of Your
 65 | acceptance of these terms and conditions, and the Licensor grants You
 66 | such rights in consideration of benefits the Licensor receives from
 67 | making the Licensed Material available under these terms and
 68 | conditions.
 69 | 
 70 | 
 71 | Section 1 -- Definitions.
 72 | 
 73 |   a. Adapted Material means material subject to Copyright and Similar
 74 |      Rights that is derived from or based upon the Licensed Material
 75 |      and in which the Licensed Material is translated, altered,
 76 |      arranged, transformed, or otherwise modified in a manner requiring
 77 |      permission under the Copyright and Similar Rights held by the
 78 |      Licensor. For purposes of this Public License, where the Licensed
 79 |      Material is a musical work, performance, or sound recording,
 80 |      Adapted Material is always produced where the Licensed Material is
 81 |      synched in timed relation with a moving image.
 82 | 
 83 |   b. Adapter's License means the license You apply to Your Copyright
 84 |      and Similar Rights in Your contributions to Adapted Material in
 85 |      accordance with the terms and conditions of this Public License.
 86 | 
 87 |   c. BY-SA Compatible License means a license listed at
 88 |      creativecommons.org/compatiblelicenses, approved by Creative
 89 |      Commons as essentially the equivalent of this Public License.
 90 | 
 91 |   d. Copyright and Similar Rights means copyright and/or similar rights
 92 |      closely related to copyright including, without limitation,
 93 |      performance, broadcast, sound recording, and Sui Generis Database
 94 |      Rights, without regard to how the rights are labeled or
 95 |      categorized. For purposes of this Public License, the rights
 96 |      specified in Section 2(b)(1)-(2) are not Copyright and Similar
 97 |      Rights.
 98 | 
 99 |   e. Effective Technological Measures means those measures that, in the
100 |      absence of proper authority, may not be circumvented under laws
101 |      fulfilling obligations under Article 11 of the WIPO Copyright
102 |      Treaty adopted on December 20, 1996, and/or similar international
103 |      agreements.
104 | 
105 |   f. Exceptions and Limitations means fair use, fair dealing, and/or
106 |      any other exception or limitation to Copyright and Similar Rights
107 |      that applies to Your use of the Licensed Material.
108 | 
109 |   g. License Elements means the license attributes listed in the name
110 |      of a Creative Commons Public License. The License Elements of this
111 |      Public License are Attribution and ShareAlike.
112 | 
113 |   h. Licensed Material means the artistic or literary work, database,
114 |      or other material to which the Licensor applied this Public
115 |      License.
116 | 
117 |   i. Licensed Rights means the rights granted to You subject to the
118 |      terms and conditions of this Public License, which are limited to
119 |      all Copyright and Similar Rights that apply to Your use of the
120 |      Licensed Material and that the Licensor has authority to license.
121 | 
122 |   j. Licensor means the individual(s) or entity(ies) granting rights
123 |      under this Public License.
124 | 
125 |   k. Share means to provide material to the public by any means or
126 |      process that requires permission under the Licensed Rights, such
127 |      as reproduction, public display, public performance, distribution,
128 |      dissemination, communication, or importation, and to make material
129 |      available to the public including in ways that members of the
130 |      public may access the material from a place and at a time
131 |      individually chosen by them.
132 | 
133 |   l. Sui Generis Database Rights means rights other than copyright
134 |      resulting from Directive 96/9/EC of the European Parliament and of
135 |      the Council of 11 March 1996 on the legal protection of databases,
136 |      as amended and/or succeeded, as well as other essentially
137 |      equivalent rights anywhere in the world.
138 | 
139 |   m. You means the individual or entity exercising the Licensed Rights
140 |      under this Public License. Your has a corresponding meaning.
141 | 
142 | 
143 | Section 2 -- Scope.
144 | 
145 |   a. License grant.
146 | 
147 |        1. Subject to the terms and conditions of this Public License,
148 |           the Licensor hereby grants You a worldwide, royalty-free,
149 |           non-sublicensable, non-exclusive, irrevocable license to
150 |           exercise the Licensed Rights in the Licensed Material to:
151 | 
152 |             a. reproduce and Share the Licensed Material, in whole or
153 |                in part; and
154 | 
155 |             b. produce, reproduce, and Share Adapted Material.
156 | 
157 |        2. Exceptions and Limitations. For the avoidance of doubt, where
158 |           Exceptions and Limitations apply to Your use, this Public
159 |           License does not apply, and You do not need to comply with
160 |           its terms and conditions.
161 | 
162 |        3. Term. The term of this Public License is specified in Section
163 |           6(a).
164 | 
165 |        4. Media and formats; technical modifications allowed. The
166 |           Licensor authorizes You to exercise the Licensed Rights in
167 |           all media and formats whether now known or hereafter created,
168 |           and to make technical modifications necessary to do so. The
169 |           Licensor waives and/or agrees not to assert any right or
170 |           authority to forbid You from making technical modifications
171 |           necessary to exercise the Licensed Rights, including
172 |           technical modifications necessary to circumvent Effective
173 |           Technological Measures. For purposes of this Public License,
174 |           simply making modifications authorized by this Section 2(a)
175 |           (4) never produces Adapted Material.
176 | 
177 |        5. Downstream recipients.
178 | 
179 |             a. Offer from the Licensor -- Licensed Material. Every
180 |                recipient of the Licensed Material automatically
181 |                receives an offer from the Licensor to exercise the
182 |                Licensed Rights under the terms and conditions of this
183 |                Public License.
184 | 
185 |             b. Additional offer from the Licensor -- Adapted Material.
186 |                Every recipient of Adapted Material from You
187 |                automatically receives an offer from the Licensor to
188 |                exercise the Licensed Rights in the Adapted Material
189 |                under the conditions of the Adapter's License You apply.
190 | 
191 |             c. No downstream restrictions. You may not offer or impose
192 |                any additional or different terms or conditions on, or
193 |                apply any Effective Technological Measures to, the
194 |                Licensed Material if doing so restricts exercise of the
195 |                Licensed Rights by any recipient of the Licensed
196 |                Material.
197 | 
198 |        6. No endorsement. Nothing in this Public License constitutes or
199 |           may be construed as permission to assert or imply that You
200 |           are, or that Your use of the Licensed Material is, connected
201 |           with, or sponsored, endorsed, or granted official status by,
202 |           the Licensor or others designated to receive attribution as
203 |           provided in Section 3(a)(1)(A)(i).
204 | 
205 |   b. Other rights.
206 | 
207 |        1. Moral rights, such as the right of integrity, are not
208 |           licensed under this Public License, nor are publicity,
209 |           privacy, and/or other similar personality rights; however, to
210 |           the extent possible, the Licensor waives and/or agrees not to
211 |           assert any such rights held by the Licensor to the limited
212 |           extent necessary to allow You to exercise the Licensed
213 |           Rights, but not otherwise.
214 | 
215 |        2. Patent and trademark rights are not licensed under this
216 |           Public License.
217 | 
218 |        3. To the extent possible, the Licensor waives any right to
219 |           collect royalties from You for the exercise of the Licensed
220 |           Rights, whether directly or through a collecting society
221 |           under any voluntary or waivable statutory or compulsory
222 |           licensing scheme. In all other cases the Licensor expressly
223 |           reserves any right to collect such royalties.
224 | 
225 | 
226 | Section 3 -- License Conditions.
227 | 
228 | Your exercise of the Licensed Rights is expressly made subject to the
229 | following conditions.
230 | 
231 |   a. Attribution.
232 | 
233 |        1. If You Share the Licensed Material (including in modified
234 |           form), You must:
235 | 
236 |             a. retain the following if it is supplied by the Licensor
237 |                with the Licensed Material:
238 | 
239 |                  i. identification of the creator(s) of the Licensed
240 |                     Material and any others designated to receive
241 |                     attribution, in any reasonable manner requested by
242 |                     the Licensor (including by pseudonym if
243 |                     designated);
244 | 
245 |                 ii. a copyright notice;
246 | 
247 |                iii. a notice that refers to this Public License;
248 | 
249 |                 iv. a notice that refers to the disclaimer of
250 |                     warranties;
251 | 
252 |                  v. a URI or hyperlink to the Licensed Material to the
253 |                     extent reasonably practicable;
254 | 
255 |             b. indicate if You modified the Licensed Material and
256 |                retain an indication of any previous modifications; and
257 | 
258 |             c. indicate the Licensed Material is licensed under this
259 |                Public License, and include the text of, or the URI or
260 |                hyperlink to, this Public License.
261 | 
262 |        2. You may satisfy the conditions in Section 3(a)(1) in any
263 |           reasonable manner based on the medium, means, and context in
264 |           which You Share the Licensed Material. For example, it may be
265 |           reasonable to satisfy the conditions by providing a URI or
266 |           hyperlink to a resource that includes the required
267 |           information.
268 | 
269 |        3. If requested by the Licensor, You must remove any of the
270 |           information required by Section 3(a)(1)(A) to the extent
271 |           reasonably practicable.
272 | 
273 |   b. ShareAlike.
274 | 
275 |      In addition to the conditions in Section 3(a), if You Share
276 |      Adapted Material You produce, the following conditions also apply.
277 | 
278 |        1. The Adapter's License You apply must be a Creative Commons
279 |           license with the same License Elements, this version or
280 |           later, or a BY-SA Compatible License.
281 | 
282 |        2. You must include the text of, or the URI or hyperlink to, the
283 |           Adapter's License You apply. You may satisfy this condition
284 |           in any reasonable manner based on the medium, means, and
285 |           context in which You Share Adapted Material.
286 | 
287 |        3. You may not offer or impose any additional or different terms
288 |           or conditions on, or apply any Effective Technological
289 |           Measures to, Adapted Material that restrict exercise of the
290 |           rights granted under the Adapter's License You apply.
291 | 
292 | 
293 | Section 4 -- Sui Generis Database Rights.
294 | 
295 | Where the Licensed Rights include Sui Generis Database Rights that
296 | apply to Your use of the Licensed Material:
297 | 
298 |   a. for the avoidance of doubt, Section 2(a)(1) grants You the right
299 |      to extract, reuse, reproduce, and Share all or a substantial
300 |      portion of the contents of the database;
301 | 
302 |   b. if You include all or a substantial portion of the database
303 |      contents in a database in which You have Sui Generis Database
304 |      Rights, then the database in which You have Sui Generis Database
305 |      Rights (but not its individual contents) is Adapted Material,
306 | 
307 |      including for purposes of Section 3(b); and
308 |   c. You must comply with the conditions in Section 3(a) if You Share
309 |      all or a substantial portion of the contents of the database.
310 | 
311 | For the avoidance of doubt, this Section 4 supplements and does not
312 | replace Your obligations under this Public License where the Licensed
313 | Rights include other Copyright and Similar Rights.
314 | 
315 | 
316 | Section 5 -- Disclaimer of Warranties and Limitation of Liability.
317 | 
318 |   a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE
319 |      EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
320 |      AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF
321 |      ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS,
322 |      IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
323 |      WARRANTIES OF TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR
324 |      PURPOSE, NON-INFRINGEMENT, ABSENCE OF LATENT OR OTHER DEFECTS,
325 |      ACCURACY, OR THE PRESENCE OR ABSENCE OF ERRORS, WHETHER OR NOT
326 |      KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
327 |      ALLOWED IN FULL OR IN PART, THIS DISCLAIMER MAY NOT APPLY TO YOU.
328 | 
329 |   b. TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE
330 |      TO YOU ON ANY LEGAL THEORY (INCLUDING, WITHOUT LIMITATION,
331 |      NEGLIGENCE) OR OTHERWISE FOR ANY DIRECT, SPECIAL, INDIRECT,
332 |      INCIDENTAL, CONSEQUENTIAL, PUNITIVE, EXEMPLARY, OR OTHER LOSSES,
333 |      COSTS, EXPENSES, OR DAMAGES ARISING OUT OF THIS PUBLIC LICENSE OR
334 |      USE OF THE LICENSED MATERIAL, EVEN IF THE LICENSOR HAS BEEN
335 |      ADVISED OF THE POSSIBILITY OF SUCH LOSSES, COSTS, EXPENSES, OR
336 |      DAMAGES. WHERE A LIMITATION OF LIABILITY IS NOT ALLOWED IN FULL OR
337 |      IN PART, THIS LIMITATION MAY NOT APPLY TO YOU.
338 | 
339 |   c. The disclaimer of warranties and limitation of liability provided
340 |      above shall be interpreted in a manner that, to the extent
341 |      possible, most closely approximates an absolute disclaimer and
342 |      waiver of all liability.
343 | 
344 | 
345 | Section 6 -- Term and Termination.
346 | 
347 |   a. This Public License applies for the term of the Copyright and
348 |      Similar Rights licensed here. However, if You fail to comply with
349 |      this Public License, then Your rights under this Public License
350 |      terminate automatically.
351 | 
352 |   b. Where Your right to use the Licensed Material has terminated under
353 |      Section 6(a), it reinstates:
354 | 
355 |        1. automatically as of the date the violation is cured, provided
356 |           it is cured within 30 days of Your discovery of the
357 |           violation; or
358 | 
359 |        2. upon express reinstatement by the Licensor.
360 | 
361 |      For the avoidance of doubt, this Section 6(b) does not affect any
362 |      right the Licensor may have to seek remedies for Your violations
363 |      of this Public License.
364 | 
365 |   c. For the avoidance of doubt, the Licensor may also offer the
366 |      Licensed Material under separate terms or conditions or stop
367 |      distributing the Licensed Material at any time; however, doing so
368 |      will not terminate this Public License.
369 | 
370 |   d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
371 |      License.
372 | 
373 | 
374 | Section 7 -- Other Terms and Conditions.
375 | 
376 |   a. The Licensor shall not be bound by any additional or different
377 |      terms or conditions communicated by You unless expressly agreed.
378 | 
379 |   b. Any arrangements, understandings, or agreements regarding the
380 |      Licensed Material not stated herein are separate from and
381 |      independent of the terms and conditions of this Public License.
382 | 
383 | 
384 | Section 8 -- Interpretation.
385 | 
386 |   a. For the avoidance of doubt, this Public License does not, and
387 |      shall not be interpreted to, reduce, limit, restrict, or impose
388 |      conditions on any use of the Licensed Material that could lawfully
389 |      be made without permission under this Public License.
390 | 
391 |   b. To the extent possible, if any provision of this Public License is
392 |      deemed unenforceable, it shall be automatically reformed to the
393 |      minimum extent necessary to make it enforceable. If the provision
394 |      cannot be reformed, it shall be severed from this Public License
395 |      without affecting the enforceability of the remaining terms and
396 |      conditions.
397 | 
398 |   c. No term or condition of this Public License will be waived and no
399 |      failure to comply consented to unless expressly agreed to by the
400 |      Licensor.
401 | 
402 |   d. Nothing in this Public License constitutes or may be interpreted
403 |      as a limitation upon, or waiver of, any privileges and immunities
404 |      that apply to the Licensor or You, including from the legal
405 |      processes of any jurisdiction or authority.
406 | 
407 | 
408 | =======================================================================
409 | 
410 | Creative Commons is not a party to its public
411 | licenses. Notwithstanding, Creative Commons may elect to apply one of
412 | its public licenses to material it publishes and in those instances
413 | will be considered the “Licensor.” The text of the Creative Commons
414 | public licenses is dedicated to the public domain under the CC0 Public
415 | Domain Dedication. Except for the limited purpose of indicating that
416 | material is shared under a Creative Commons public license or as
417 | otherwise permitted by the Creative Commons policies published at
418 | creativecommons.org/policies, Creative Commons does not authorize the
419 | use of the trademark "Creative Commons" or any other trademark or logo
420 | of Creative Commons without its prior written consent including,
421 | without limitation, in connection with any unauthorized modifications
422 | to any of its public licenses or any other arrangements,
423 | understandings, or agreements concerning use of licensed material. For
424 | the avoidance of doubt, this paragraph does not form part of the
425 | public licenses.
426 | 
427 | Creative Commons may be contacted at creativecommons.org.
428 | 


--------------------------------------------------------------------------------
/AI_Tunes_Generate_Music.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |   "nbformat": 4,
  3 |   "nbformat_minor": 0,
  4 |   "metadata": {
  5 |     "colab": {
  6 |       "name": "AI-Tunes Generate Music",
  7 |       "provenance": [],
  8 |       "collapsed_sections": [],
  9 |       "toc_visible": true,
 10 |       "authorship_tag": "ABX9TyN+mAB1js6uOPdBh/D5x+4b",
 11 |       "include_colab_link": true
 12 |     },
 13 |     "kernelspec": {
 14 |       "name": "python3",
 15 |       "display_name": "Python 3"
 16 |     },
 17 |     "language_info": {
 18 |       "name": "python"
 19 |     }
 20 |   },
 21 |   "cells": [
 22 |     {
 23 |       "cell_type": "markdown",
 24 |       "metadata": {
 25 |         "id": "view-in-github",
 26 |         "colab_type": "text"
 27 |       },
 28 |       "source": [
 29 |         "<a href=\"https://colab.research.google.com/github/robgon-art/ai-tunes/blob/main/AI_Tunes_Generate_Music.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
 30 |       ]
 31 |     },
 32 |     {
 33 |       "cell_type": "markdown",
 34 |       "metadata": {
 35 |         "id": "PGD-rwhuWOOx"
 36 |       },
 37 |       "source": [
 38 |         "# **AI-Tunes: Creating New Songs with Artificial Intelligence**\n",
 39 |         "### **How I fine-tuned OpenAI's GPT-3 to generate music with a global structure**\n",
 40 |         "By Robert. A Gonsalves\n",
 41 |         "\n",
 42 |         "You can read my article about this project on [Medium](https://towardsdatascience.com/ai-tunes-creating-new-songs-with-artificial-intelligence-4fb383218146).\n",
 43 |         "\n",
 44 |         "The source code is released under the CC BY-SA license.\n",
 45 |         "\n",
 46 |         "![CC BY-NC-SA](https://licensebuttons.net/l/by-sa/4.0/88x31.png)\n"
 47 |       ]
 48 |     },
 49 |     {
 50 |       "cell_type": "code",
 51 |       "metadata": {
 52 |         "id": "5Qe6fbeWTc3J",
 53 |         "cellView": "form"
 54 |       },
 55 |       "source": [
 56 |         "#@title **Initalize the System**\n",
 57 |         "#@markdown Hover over play button and hit the Run cell.</br>\n",
 58 |         "#@markdown HIt takes about 3 minutes to complete the setup.\n",
 59 |         "!git clone https://github.com/robgon-art/music-geometry-eval\n",
 60 |         "!pip install openai\n",
 61 |         "\n",
 62 |         "import sys\n",
 63 |         "sys.path.append('/content/music-geometry-eval/music_geometry_eval')\n",
 64 |         "\n",
 65 |         "import music_geometry_eval\n",
 66 |         "import openai\n",
 67 |         "import music21\n",
 68 |         "import numpy as np\n",
 69 |         "from collections.abc import Iterable\n",
 70 |         "\n",
 71 |         "!gsutil -q -m cp -r gs://magentadata/models/music_transformer/primers/* /content/\n",
 72 |         "!gsutil -q -m cp gs://magentadata/soundfonts/Yamaha-C5-Salamander-JNv5.1.sf2 /content/\n",
 73 |         "!apt-get update -qq && apt-get install -qq libfluidsynth1 build-essential libasound2-dev libjack-dev\n",
 74 |         "!pip install magenta\n",
 75 |         "!pip install pyfluidsynth\n",
 76 |         "import note_seq\n",
 77 |         "SF2_PATH = '/content/Yamaha-C5-Salamander-JNv5.1.sf2'\n",
 78 |         "SAMPLE_RATE = 16000\n",
 79 |         "CMM_mean = 2.2715\n",
 80 |         "CMM_std = 0.4831\n",
 81 |         "LM_mean = 2.0305\n",
 82 |         "LM_std = 0.5386\n",
 83 |         "CENT_mean = 0.3042\n",
 84 |         "CENT_std = 0.0891"
 85 |       ],
 86 |       "execution_count": null,
 87 |       "outputs": []
 88 |     },
 89 |     {
 90 |       "cell_type": "markdown",
 91 |       "metadata": {
 92 |         "id": "DXqi6YhFXpCn"
 93 |       },
 94 |       "source": [
 95 |         "**Specify Your OpenAI API Key**</br>\n",
 96 |         "This Colab only works if you have an account with OpenAI.</br>\n",
 97 |         "If you don't have an account you can sign up here https://openai.com/blog/openai-api/"
 98 |       ]
 99 |     },
100 |     {
101 |       "cell_type": "code",
102 |       "metadata": {
103 |         "id": "0StHpYWdXnfQ"
104 |       },
105 |       "source": [
106 |         "openai.api_key = \"<Your OpenAI API Key>\""
107 |       ],
108 |       "execution_count": 2,
109 |       "outputs": []
110 |     },
111 |     {
112 |       "cell_type": "code",
113 |       "metadata": {
114 |         "id": "VdU5Q6CCFK6E",
115 |         "colab": {
116 |           "base_uri": "https://localhost:8080/"
117 |         },
118 |         "cellView": "form",
119 |         "outputId": "fd0de5cb-3da8-49d6-8fb7-8e186110b8b5"
120 |       },
121 |       "source": [
122 |         "#@title **Generate a new Song Title and Band Name**\n",
123 |         "#@markdown This data will be used to prompt the AI-Tunes system to create the song.\n",
124 |         "response = openai.Completion.create(\n",
125 |         "  engine=\"davinci-instruct-beta\",\n",
126 |         "  prompt=\"Create a new song title a new band name. Be creative!\\n\\nBand name: The Execs\\nSong title: Company Meeting\\n###\\n\\nBand name: The One Chords\\nSong title: Moving Down to Burlington\\n###\",\n",
127 |         "  temperature=0.7,\n",
128 |         "  max_tokens=64,\n",
129 |         "  top_p=1,\n",
130 |         "  frequency_penalty=0.5,\n",
131 |         "  presence_penalty=0.5,\n",
132 |         "  stop=[\"###\"]\n",
133 |         ")\n",
134 |         "\n",
135 |         "# print(response)\n",
136 |         "\n",
137 |         "song_metadata = response[\"choices\"][0][\"text\"].strip()\n",
138 |         "lines = song_metadata.split(\"\\n\")\n",
139 |         "generated_metadata = {}\n",
140 |         "song_title = \"Our Random Song\"\n",
141 |         "band_name = \"Some Random Band\"\n",
142 |         "for line in lines:\n",
143 |         "  parts = line.split(\":\")\n",
144 |         "  if len(parts) == 2:\n",
145 |         "    if \"song title\" in parts[0].lower() and len(parts[1]) > 0:\n",
146 |         "      song_title = parts[1].strip()\n",
147 |         "    if \"band name\" in parts[0].lower() and len(parts[1]) > 0:\n",
148 |         "      band_name = parts[1].strip()\n",
149 |         "\n",
150 |         "print(\"Song Title:\", song_title)\n",
151 |         "print(\"Band Name :\", band_name)"
152 |       ],
153 |       "execution_count": 3,
154 |       "outputs": [
155 |         {
156 |           "output_type": "stream",
157 |           "name": "stdout",
158 |           "text": [
159 |             "Song Title: I'm in Love with My Best Friend\n",
160 |             "Band Name : The Last Chance\n"
161 |           ]
162 |         }
163 |       ]
164 |     },
165 |     {
166 |       "cell_type": "code",
167 |       "metadata": {
168 |         "id": "hol2mChWjzrr",
169 |         "colab": {
170 |           "base_uri": "https://localhost:8080/"
171 |         },
172 |         "cellView": "form",
173 |         "outputId": "b0982ef4-8ca5-4378-ef87-5912894d9f82"
174 |       },
175 |       "source": [
176 |         "#@title **Generate Songs**\n",
177 |         "#@markdown The sysystem will generate five versions of the song and show the statistics for tonal quality.</br>\n",
178 |         "#@markdown Lower temperature values will create more repetive melodies.</br>\n",
179 |         "#@markdown Higher values will create more random melodies (and occasional ABC parsing errors.)\n",
180 |         "temperature = 0.95 #@param {type:\"slider\", min:0.0, max:1.2, step:0.01}\n",
181 |         "\n",
182 |         "prompt = \"X: 1 $ T: \" + song_title + \" $ C: \" + band_name + \" $ <song>\"\n",
183 |         "print(\"prompt\", prompt)\n",
184 |         "print()\n",
185 |         "\n",
186 |         "songs_with_scores = []\n",
187 |         "score_arr = np.empty((0), np.float32)\n",
188 |         "\n",
189 |         "for i in range(5):\n",
190 |         "  print(\"\\nGenerating Song Version\", i)\n",
191 |         "  response = openai.Completion.create(\n",
192 |         "      model=\"curie:ft-user-j0julqovorjakyuyt3kv3zci-2021-08-24-11-42-59\",\n",
193 |         "      prompt=prompt,\n",
194 |         "      stop = \" $ <end>\",\n",
195 |         "      temperature=temperature,\n",
196 |         "      top_p=1.0,\n",
197 |         "      frequency_penalty=0.0,\n",
198 |         "      presence_penalty=0.0,\n",
199 |         "      max_tokens = 1000)\n",
200 |         "\n",
201 |         "  # print(response)\n",
202 |         "  # print()\n",
203 |         "\n",
204 |         "  formatted_prompt = \"X: 1 $ T: \" + song_title + \" $ C: \" + band_name + \" $ L: 1/4 $ M: 4/4 $ K: C $ V: 1 treble\"\n",
205 |         "  formatted_prompt = formatted_prompt.replace(\" $ \", \"\\n\")\n",
206 |         "  formatted_prompt = formatted_prompt.replace(\"<song>\", \"\").strip()\n",
207 |         "\n",
208 |         "  formatted_song = response[\"choices\"][0][\"text\"].strip()\n",
209 |         "  formatted_song = formatted_song.replace('`', '\"')\n",
210 |         "  formatted_song = formatted_song.replace(\" $ \", \"\\n\")\n",
211 |         "  new_song = formatted_prompt + \"\\n\" + formatted_song\n",
212 |         "  # print(new_song)\n",
213 |         "  with open(\"new_song.abc\", \"w\") as new_song_file:\n",
214 |         "    new_song_file.write(new_song)\n",
215 |         "\n",
216 |         "  song = music21.converter.parse(\"new_song.abc\")\n",
217 |         "\n",
218 |         "  part = song.parts[0]\n",
219 |         "  chord_end = song.highestTime\n",
220 |         "  for pi in reversed(range(len(part))):\n",
221 |         "    p = part[pi]\n",
222 |         "    for ni in reversed(range(len(p))):\n",
223 |         "      n = p[ni]\n",
224 |         "      if type(n) == music21.harmony.ChordSymbol:\n",
225 |         "        chord_start = p.offset + n.offset\n",
226 |         "        n.duration.quarterLength = chord_end - chord_start\n",
227 |         "        n.volume = music21.volume.Volume(velocity=48)\n",
228 |         "        chord_end = chord_start\n",
229 |         "      elif type(n) == music21.note.Note:\n",
230 |         "        n.volume = music21.volume.Volume(velocity=64)\n",
231 |         "  file_name = \"song\" + str(i).zfill(2) + \".mid\"\n",
232 |         "  song.write('midi', fp=file_name)\n",
233 |         "\n",
234 |         "  part = song.parts[0]\n",
235 |         "  note_array = []\n",
236 |         "\n",
237 |         "  for p in part:\n",
238 |         "    if isinstance(p, Iterable):\n",
239 |         "      for n in p:\n",
240 |         "        if type(n) == music21.note.Note:\n",
241 |         "          note_array.append([int(n.pitch.ps), int(n.quarterLength*4+0.5)])\n",
242 |         "\n",
243 |         "  CMM = music_geometry_eval.calculate_time_supported_conjunct_melodic_motion(note_array)\n",
244 |         "  LM = music_geometry_eval.calculate_time_supported_limited_macroharmony(note_array, span_size=32)\n",
245 |         "  CENT = music_geometry_eval.calculate_time_supported_centricity(note_array, span_size=32)\n",
246 |         "\n",
247 |         "  print(\"  CMM :\", round(CMM, 4))\n",
248 |         "  print(\"  LM  :\", round(LM, 4))\n",
249 |         "  print(\"  CENT:\", round(CENT, 4))\n",
250 |         "\n",
251 |         "  norm_cmm = (CMM - CMM_mean) / CMM_std\n",
252 |         "  norm_lm = (LM - LM_mean) / LM_std\n",
253 |         "  norm_cent = (CENT - CENT_mean) / CMM_std\n",
254 |         "  norm_score_squared = norm_cmm * norm_cmm + norm_lm * norm_lm + norm_cent * norm_cent\n",
255 |         "  print(\"  NDM :\", round(norm_score_squared, 4))\n",
256 |         "  score_arr = np.append(score_arr, norm_score_squared)\n",
257 |         "  songs_with_scores.append([norm_score_squared, file_name])\n",
258 |         "\n",
259 |         "print(\"\\nResults:\")\n",
260 |         "songs_with_scores.sort()\n",
261 |         "for i, pair in enumerate(songs_with_scores):\n",
262 |         "  print(\"Version: \" + str(i) + \", Score: \" + str(round(pair[0], 4)) + \", File: \", pair[1])"
263 |       ],
264 |       "execution_count": 5,
265 |       "outputs": [
266 |         {
267 |           "output_type": "stream",
268 |           "name": "stdout",
269 |           "text": [
270 |             "prompt X: 1 $ T: I'm in Love with My Best Friend $ C: The Last Chance $ <song>\n",
271 |             "\n",
272 |             "\n",
273 |             "Generating Song Version 0\n",
274 |             "  CMM : 1.4471\n",
275 |             "  LM  : 2.8857\n",
276 |             "  CENT: 0.5428\n",
277 |             "  NDM : 5.6776\n",
278 |             "\n",
279 |             "Generating Song Version 1\n",
280 |             "  CMM : 2.6371\n",
281 |             "  LM  : 2.5648\n",
282 |             "  CENT: 0.3101\n",
283 |             "  NDM : 1.557\n",
284 |             "\n",
285 |             "Generating Song Version 2\n",
286 |             "  CMM : 2.2919\n",
287 |             "  LM  : 2.2661\n",
288 |             "  CENT: 0.3403\n",
289 |             "  NDM : 0.1986\n",
290 |             "\n",
291 |             "Generating Song Version 3\n",
292 |             "  CMM : 2.1721\n",
293 |             "  LM  : 2.3629\n",
294 |             "  CENT: 0.432\n",
295 |             "  NDM : 0.4931\n",
296 |             "\n",
297 |             "Generating Song Version 4\n",
298 |             "  CMM : 2.631\n",
299 |             "  LM  : 1.9726\n",
300 |             "  CENT: 0.3174\n",
301 |             "  NDM : 0.5659\n",
302 |             "\n",
303 |             "Results:\n",
304 |             "Version: 0, Score: 0.1986, File:  song02.mid\n",
305 |             "Version: 1, Score: 0.4931, File:  song03.mid\n",
306 |             "Version: 2, Score: 0.5659, File:  song04.mid\n",
307 |             "Version: 3, Score: 1.557, File:  song01.mid\n",
308 |             "Version: 4, Score: 5.6776, File:  song00.mid\n"
309 |           ]
310 |         }
311 |       ]
312 |     },
313 |     {
314 |       "cell_type": "code",
315 |       "metadata": {
316 |         "id": "paPkHWNIIWE1",
317 |         "colab": {
318 |           "base_uri": "https://localhost:8080/",
319 |           "height": 394
320 |         },
321 |         "cellView": "form",
322 |         "outputId": "b7fdc1cd-9d84-4ae4-874e-015ad7a41fcb"
323 |       },
324 |       "source": [
325 |         "#@title **Choose a Song**\n",
326 |         "#@markdown Choose a version of the song to play.\n",
327 |         "import copy\n",
328 |         "\n",
329 |         "version_number = 0 #@param {type:\"slider\", min:0, max:5, step:1}\n",
330 |         "tempo_bpm = 120 #@param {type:\"slider\", min:60, max:240, step:1}\n",
331 |         "tempo_scale = 120.0/tempo_bpm\n",
332 |         "\n",
333 |         "melody_ns = note_seq.midi_file_to_sequence_proto(songs_with_scores[version_number][1])\n",
334 |         "\n",
335 |         "melody2_ns = copy.deepcopy(melody_ns)\n",
336 |         "melody2_ns.tempos[0].qpm = tempo_bpm\n",
337 |         "\n",
338 |         "for n in melody2_ns.notes:\n",
339 |         "  n.start_time *= tempo_scale\n",
340 |         "  n.end_time *= tempo_scale\n",
341 |         "\n",
342 |         "print(\"\\nSong Title: \" + song_title)\n",
343 |         "print(\"Version:   \", version_number)\n",
344 |         "print(\"Band Name: \", band_name)\n",
345 |         "print(\"NDM Score: \", round(songs_with_scores[version_number][0], 4))\n",
346 |         "print(\"MIDI File: \", songs_with_scores[version_number][1], \"\\n\")\n",
347 |         "\n",
348 |         "note_seq.play_sequence( \n",
349 |         "  melody2_ns,\n",
350 |         "  synth=note_seq.fluidsynth, sample_rate=SAMPLE_RATE, sf2_path=SF2_PATH)\n",
351 |         "note_seq.plot_sequence(melody2_ns)\n",
352 |         "\n",
353 |         "# from bokeh.plotting import show\n",
354 |         "# fig = note_seq.plot_sequence(melody2_ns, show_figure = False)\n",
355 |         "# fig.width = 500\n",
356 |         "# fig.height = 500\n",
357 |         "# fig.toolbar.logo = None\n",
358 |         "# show(fig)"
359 |       ],
360 |       "execution_count": 7,
361 |       "outputs": [
362 |         {
363 |           "output_type": "stream",
364 |           "name": "stdout",
365 |           "text": [
366 |             "\n",
367 |             "Song Title: I'm in Love with My Best Friend\n",
368 |             "Version:    0\n",
369 |             "Band Name:  The Last Chance\n",
370 |             "NDM Score:  0.1986\n",
371 |             "MIDI File:  song02.mid \n",
372 |             "\n"
373 |           ]
374 |         },
375 |         {
376 |           "output_type": "display_data",
377 |           "data": {
378 |             "text/html": [
379 |               "<div id=\"id_1\"> </div>"
380 |             ],
381 |             "text/plain": [
382 |               "<IPython.core.display.HTML object>"
383 |             ]
384 |           },
385 |           "metadata": {}
386 |         },
387 |         {
388 |           "output_type": "display_data",
389 |           "data": {
390 |             "application/javascript": [
391 |               "\n",
392 |               "(function(root) {\n",
393 |               "  function now() {\n",
394 |               "    return new Date();\n",
395 |               "  }\n",
396 |               "\n",
397 |               "  var force = true;\n",
398 |               "\n",
399 |               "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
400 |               "    root._bokeh_onload_callbacks = [];\n",
401 |               "    root._bokeh_is_loading = undefined;\n",
402 |               "  }\n",
403 |               "\n",
404 |               "  var JS_MIME_TYPE = 'application/javascript';\n",
405 |               "  var HTML_MIME_TYPE = 'text/html';\n",
406 |               "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
407 |               "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
408 |               "\n",
409 |               "  /**\n",
410 |               "   * Render data to the DOM node\n",
411 |               "   */\n",
412 |               "  function render(props, node) {\n",
413 |               "    var script = document.createElement(\"script\");\n",
414 |               "    node.appendChild(script);\n",
415 |               "  }\n",
416 |               "\n",
417 |               "  /**\n",
418 |               "   * Handle when an output is cleared or removed\n",
419 |               "   */\n",
420 |               "  function handleClearOutput(event, handle) {\n",
421 |               "    var cell = handle.cell;\n",
422 |               "\n",
423 |               "    var id = cell.output_area._bokeh_element_id;\n",
424 |               "    var server_id = cell.output_area._bokeh_server_id;\n",
425 |               "    // Clean up Bokeh references\n",
426 |               "    if (id != null && id in Bokeh.index) {\n",
427 |               "      Bokeh.index[id].model.document.clear();\n",
428 |               "      delete Bokeh.index[id];\n",
429 |               "    }\n",
430 |               "\n",
431 |               "    if (server_id !== undefined) {\n",
432 |               "      // Clean up Bokeh references\n",
433 |               "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
434 |               "      cell.notebook.kernel.execute(cmd, {\n",
435 |               "        iopub: {\n",
436 |               "          output: function(msg) {\n",
437 |               "            var id = msg.content.text.trim();\n",
438 |               "            if (id in Bokeh.index) {\n",
439 |               "              Bokeh.index[id].model.document.clear();\n",
440 |               "              delete Bokeh.index[id];\n",
441 |               "            }\n",
442 |               "          }\n",
443 |               "        }\n",
444 |               "      });\n",
445 |               "      // Destroy server and session\n",
446 |               "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
447 |               "      cell.notebook.kernel.execute(cmd);\n",
448 |               "    }\n",
449 |               "  }\n",
450 |               "\n",
451 |               "  /**\n",
452 |               "   * Handle when a new output is added\n",
453 |               "   */\n",
454 |               "  function handleAddOutput(event, handle) {\n",
455 |               "    var output_area = handle.output_area;\n",
456 |               "    var output = handle.output;\n",
457 |               "\n",
458 |               "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
459 |               "    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
460 |               "      return\n",
461 |               "    }\n",
462 |               "\n",
463 |               "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
464 |               "\n",
465 |               "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
466 |               "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
467 |               "      // store reference to embed id on output_area\n",
468 |               "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
469 |               "    }\n",
470 |               "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
471 |               "      var bk_div = document.createElement(\"div\");\n",
472 |               "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
473 |               "      var script_attrs = bk_div.children[0].attributes;\n",
474 |               "      for (var i = 0; i < script_attrs.length; i++) {\n",
475 |               "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
476 |               "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
477 |               "      }\n",
478 |               "      // store reference to server id on output_area\n",
479 |               "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
480 |               "    }\n",
481 |               "  }\n",
482 |               "\n",
483 |               "  function register_renderer(events, OutputArea) {\n",
484 |               "\n",
485 |               "    function append_mime(data, metadata, element) {\n",
486 |               "      // create a DOM node to render to\n",
487 |               "      var toinsert = this.create_output_subarea(\n",
488 |               "        metadata,\n",
489 |               "        CLASS_NAME,\n",
490 |               "        EXEC_MIME_TYPE\n",
491 |               "      );\n",
492 |               "      this.keyboard_manager.register_events(toinsert);\n",
493 |               "      // Render to node\n",
494 |               "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
495 |               "      render(props, toinsert[toinsert.length - 1]);\n",
496 |               "      element.append(toinsert);\n",
497 |               "      return toinsert\n",
498 |               "    }\n",
499 |               "\n",
500 |               "    /* Handle when an output is cleared or removed */\n",
501 |               "    events.on('clear_output.CodeCell', handleClearOutput);\n",
502 |               "    events.on('delete.Cell', handleClearOutput);\n",
503 |               "\n",
504 |               "    /* Handle when a new output is added */\n",
505 |               "    events.on('output_added.OutputArea', handleAddOutput);\n",
506 |               "\n",
507 |               "    /**\n",
508 |               "     * Register the mime type and append_mime function with output_area\n",
509 |               "     */\n",
510 |               "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
511 |               "      /* Is output safe? */\n",
512 |               "      safe: true,\n",
513 |               "      /* Index of renderer in `output_area.display_order` */\n",
514 |               "      index: 0\n",
515 |               "    });\n",
516 |               "  }\n",
517 |               "\n",
518 |               "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
519 |               "  if (root.Jupyter !== undefined) {\n",
520 |               "    var events = require('base/js/events');\n",
521 |               "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
522 |               "\n",
523 |               "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
524 |               "      register_renderer(events, OutputArea);\n",
525 |               "    }\n",
526 |               "  }\n",
527 |               "\n",
528 |               "  \n",
529 |               "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
530 |               "    root._bokeh_timeout = Date.now() + 5000;\n",
531 |               "    root._bokeh_failed_load = false;\n",
532 |               "  }\n",
533 |               "\n",
534 |               "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
535 |               "     \"<div style='background-color: #fdd'>\\n\"+\n",
536 |               "     \"<p>\\n\"+\n",
537 |               "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
538 |               "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
539 |               "     \"</p>\\n\"+\n",
540 |               "     \"<ul>\\n\"+\n",
541 |               "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
542 |               "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
543 |               "     \"</ul>\\n\"+\n",
544 |               "     \"<code>\\n\"+\n",
545 |               "     \"from bokeh.resources import INLINE\\n\"+\n",
546 |               "     \"output_notebook(resources=INLINE)\\n\"+\n",
547 |               "     \"</code>\\n\"+\n",
548 |               "     \"</div>\"}};\n",
549 |               "\n",
550 |               "  function display_loaded() {\n",
551 |               "    var el = document.getElementById(null);\n",
552 |               "    if (el != null) {\n",
553 |               "      el.textContent = \"BokehJS is loading...\";\n",
554 |               "    }\n",
555 |               "    if (root.Bokeh !== undefined) {\n",
556 |               "      if (el != null) {\n",
557 |               "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
558 |               "      }\n",
559 |               "    } else if (Date.now() < root._bokeh_timeout) {\n",
560 |               "      setTimeout(display_loaded, 100)\n",
561 |               "    }\n",
562 |               "  }\n",
563 |               "\n",
564 |               "\n",
565 |               "  function run_callbacks() {\n",
566 |               "    try {\n",
567 |               "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
568 |               "        if (callback != null)\n",
569 |               "          callback();\n",
570 |               "      });\n",
571 |               "    } finally {\n",
572 |               "      delete root._bokeh_onload_callbacks\n",
573 |               "    }\n",
574 |               "    console.debug(\"Bokeh: all callbacks have finished\");\n",
575 |               "  }\n",
576 |               "\n",
577 |               "  function load_libs(css_urls, js_urls, callback) {\n",
578 |               "    if (css_urls == null) css_urls = [];\n",
579 |               "    if (js_urls == null) js_urls = [];\n",
580 |               "\n",
581 |               "    root._bokeh_onload_callbacks.push(callback);\n",
582 |               "    if (root._bokeh_is_loading > 0) {\n",
583 |               "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
584 |               "      return null;\n",
585 |               "    }\n",
586 |               "    if (js_urls == null || js_urls.length === 0) {\n",
587 |               "      run_callbacks();\n",
588 |               "      return null;\n",
589 |               "    }\n",
590 |               "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
591 |               "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
592 |               "\n",
593 |               "    function on_load() {\n",
594 |               "      root._bokeh_is_loading--;\n",
595 |               "      if (root._bokeh_is_loading === 0) {\n",
596 |               "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
597 |               "        run_callbacks()\n",
598 |               "      }\n",
599 |               "    }\n",
600 |               "\n",
601 |               "    function on_error(url) {\n",
602 |               "      console.error(\"failed to load \" + url);\n",
603 |               "    }\n",
604 |               "\n",
605 |               "    for (let i = 0; i < css_urls.length; i++) {\n",
606 |               "      const url = css_urls[i];\n",
607 |               "      const element = document.createElement(\"link\");\n",
608 |               "      element.onload = on_load;\n",
609 |               "      element.onerror = on_error.bind(null, url);\n",
610 |               "      element.rel = \"stylesheet\";\n",
611 |               "      element.type = \"text/css\";\n",
612 |               "      element.href = url;\n",
613 |               "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
614 |               "      document.body.appendChild(element);\n",
615 |               "    }\n",
616 |               "\n",
617 |               "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\": \"dM3QQsP+wXdHg42wTqW85BjZQdLNNIXqlPw/BgKoExPmTG7ZLML4EGqLMfqHT6ON\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\": \"8x57I4YuIfu8XyZfFo0XVr2WAT8EK4rh/uDe3wF7YuW2FNUSNEpJbsPaB1nJ2fz2\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\": \"3QTqdz9LyAm2i0sG5XTePsHec3UHWwVsrOL68SYRoAXsafvfAyqtQ+h440+qIBhS\"};\n",
618 |               "\n",
619 |               "    for (let i = 0; i < js_urls.length; i++) {\n",
620 |               "      const url = js_urls[i];\n",
621 |               "      const element = document.createElement('script');\n",
622 |               "      element.onload = on_load;\n",
623 |               "      element.onerror = on_error.bind(null, url);\n",
624 |               "      element.async = false;\n",
625 |               "      element.src = url;\n",
626 |               "      if (url in hashes) {\n",
627 |               "        element.crossOrigin = \"anonymous\";\n",
628 |               "        element.integrity = \"sha384-\" + hashes[url];\n",
629 |               "      }\n",
630 |               "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
631 |               "      document.head.appendChild(element);\n",
632 |               "    }\n",
633 |               "  };\n",
634 |               "\n",
635 |               "  function inject_raw_css(css) {\n",
636 |               "    const element = document.createElement(\"style\");\n",
637 |               "    element.appendChild(document.createTextNode(css));\n",
638 |               "    document.body.appendChild(element);\n",
639 |               "  }\n",
640 |               "\n",
641 |               "  \n",
642 |               "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\"];\n",
643 |               "  var css_urls = [];\n",
644 |               "  \n",
645 |               "\n",
646 |               "  var inline_js = [\n",
647 |               "    function(Bokeh) {\n",
648 |               "      Bokeh.set_log_level(\"info\");\n",
649 |               "    },\n",
650 |               "    function(Bokeh) {\n",
651 |               "    \n",
652 |               "    \n",
653 |               "    }\n",
654 |               "  ];\n",
655 |               "\n",
656 |               "  function run_inline_js() {\n",
657 |               "    \n",
658 |               "    if (root.Bokeh !== undefined || force === true) {\n",
659 |               "      \n",
660 |               "    for (var i = 0; i < inline_js.length; i++) {\n",
661 |               "      inline_js[i].call(root, root.Bokeh);\n",
662 |               "    }\n",
663 |               "    } else if (Date.now() < root._bokeh_timeout) {\n",
664 |               "      setTimeout(run_inline_js, 100);\n",
665 |               "    } else if (!root._bokeh_failed_load) {\n",
666 |               "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
667 |               "      root._bokeh_failed_load = true;\n",
668 |               "    } else if (force !== true) {\n",
669 |               "      var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n",
670 |               "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
671 |               "    }\n",
672 |               "\n",
673 |               "  }\n",
674 |               "\n",
675 |               "  if (root._bokeh_is_loading === 0) {\n",
676 |               "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
677 |               "    run_inline_js();\n",
678 |               "  } else {\n",
679 |               "    load_libs(css_urls, js_urls, function() {\n",
680 |               "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
681 |               "      run_inline_js();\n",
682 |               "    });\n",
683 |               "  }\n",
684 |               "}(window));"
685 |             ],
686 |             "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(null);\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\": \"dM3QQsP+wXdHg42wTqW85BjZQdLNNIXqlPw/BgKoExPmTG7ZLML4EGqLMfqHT6ON\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\": \"8x57I4YuIfu8XyZfFo0XVr2WAT8EK4rh/uDe3wF7YuW2FNUSNEpJbsPaB1nJ2fz2\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\": \"3QTqdz9LyAm2i0sG5XTePsHec3UHWwVsrOL68SYRoAXsafvfAyqtQ+h440+qIBhS\"};\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(null)).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
687 |           },
688 |           "metadata": {}
689 |         },
690 |         {
691 |           "output_type": "display_data",
692 |           "data": {
693 |             "text/html": [
694 |               "\n",
695 |               "\n",
696 |               "\n",
697 |               "\n",
698 |               "\n",
699 |               "\n",
700 |               "  <div class=\"bk-root\" id=\"81fce8f5-a203-425d-8fb9-70c5152d7114\" data-root-id=\"1002\"></div>\n"
701 |             ]
702 |           },
703 |           "metadata": {}
704 |         },
705 |         {
706 |           "output_type": "display_data",
707 |           "data": {
708 |             "application/javascript": [
709 |               "(function(root) {\n",
710 |               "  function embed_document(root) {\n",
711 |               "    \n",
712 |               "  var docs_json = {\"97214897-aac1-47cf-b7dd-f27613b4fd97\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1011\"}],\"center\":[{\"id\":\"1014\"},{\"id\":\"1018\"}],\"height\":200,\"left\":[{\"id\":\"1015\"}],\"renderers\":[{\"id\":\"1038\"}],\"title\":{\"id\":\"1040\"},\"toolbar\":{\"id\":\"1025\"},\"width\":500,\"x_range\":{\"id\":\"1003\"},\"x_scale\":{\"id\":\"1007\"},\"y_range\":{\"id\":\"1005\"},\"y_scale\":{\"id\":\"1009\"}},\"id\":\"1002\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"bottom\":{\"field\":\"bottom\"},\"fill_alpha\":{\"field\":\"fill_alpha\"},\"fill_color\":{\"value\":\"#d53e4f\"},\"left\":{\"field\":\"start_time\"},\"right\":{\"field\":\"end_time\"},\"top\":{\"field\":\"top\"}},\"id\":\"1036\",\"type\":\"Quad\"},{\"attributes\":{\"axis_label\":\"time (sec)\",\"formatter\":{\"id\":\"1042\"},\"major_label_policy\":{\"id\":\"1043\"},\"ticker\":{\"id\":\"1012\"}},\"id\":\"1011\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1048\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1020\",\"type\":\"PanTool\"},{\"attributes\":{\"axis_label\":\"pitch (MIDI)\",\"formatter\":{\"id\":\"1045\"},\"major_label_policy\":{\"id\":\"1046\"},\"ticker\":{\"id\":\"1031\"}},\"id\":\"1015\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"1034\"},\"glyph\":{\"id\":\"1036\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1037\"},\"view\":{\"id\":\"1039\"}},\"id\":\"1038\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1024\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1022\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1043\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1042\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1005\",\"type\":\"DataRange1d\"},{\"attributes\":{\"interval\":12},\"id\":\"1031\",\"type\":\"SingleIntervalTicker\"},{\"attributes\":{\"source\":{\"id\":\"1034\"}},\"id\":\"1039\",\"type\":\"CDSView\"},{\"attributes\":{\"overlay\":{\"id\":\"1024\"}},\"id\":\"1021\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1023\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1007\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_multi\":null,\"tools\":[{\"id\":\"1019\"},{\"id\":\"1020\"},{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"}]},\"id\":\"1025\",\"type\":\"Toolbar\"},{\"attributes\":{\"bottom\":{\"field\":\"bottom\"},\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#d53e4f\"},\"left\":{\"field\":\"start_time\"},\"line_alpha\":{\"value\":0.1},\"right\":{\"field\":\"end_time\"},\"top\":{\"field\":\"top\"}},\"id\":\"1037\",\"type\":\"Quad\"},{\"attributes\":{\"interval\":12},\"id\":\"1033\",\"type\":\"SingleIntervalTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1015\"},\"dimension\":1,\"ticker\":{\"id\":\"1033\"}},\"id\":\"1018\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1049\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1045\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1003\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"pitch\",\"@pitch\"],[\"program\",\"@program\"],[\"velo\",\"@velocity\"],[\"duration\",\"@duration\"],[\"start_time\",\"@start_time\"],[\"end_time\",\"@end_time\"],[\"velocity\",\"@velocity\"],[\"fill_alpha\",\"@fill_alpha\"]]},\"id\":\"1019\",\"type\":\"HoverTool\"},{\"attributes\":{\"axis\":{\"id\":\"1011\"},\"ticker\":null},\"id\":\"1014\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1046\",\"type\":\"AllLabels\"},{\"attributes\":{\"data\":{\"bottom\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[477]},\"duration\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[477]},\"end_time\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[477]},\"fill_alpha\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[477]},\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476],\"instrument\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"pitch\":[67,72,72,67,48,52,55,57,72,42,45,49,52,71,71,47,51,54,57,71,67,67,52,55,59,62,67,69,69,45,48,52,55,69,72,50,53,57,60,71,69,43,47,50,53,71,48,52,55,59,64,50,53,57,60,65,67,48,52,55,59,72,60,51,55,58,62,62,43,46,50,53,64,67,72,72,67,48,52,55,57,72,42,45,49,52,71,71,47,51,54,57,71,67,67,52,55,59,62,67,69,69,45,48,52,55,69,72,50,53,57,60,71,69,43,47,50,53,71,48,52,55,59,64,50,53,57,60,65,67,48,52,55,59,72,60,51,55,58,62,62,43,46,50,53,64,64,67,72,48,52,55,58,62,71,42,45,49,52,69,71,69,47,51,54,57,72,71,71,52,55,59,62,71,69,69,45,48,52,55,69,72,71,69,38,42,45,48,52,67,50,53,57,60,62,64,36,40,43,46,50,53,57,64,65,50,53,57,60,62,64,48,52,55,57,67,69,45,49,52,55,67,50,53,57,60,64,43,47,50,53,62,48,52,55,60,67,72,72,67,48,52,55,57,72,42,45,49,52,71,71,47,51,54,57,71,67,67,52,55,59,62,67,69,69,45,48,52,55,69,72,50,53,57,60,71,69,43,47,50,53,71,48,52,55,59,64,50,53,57,60,65,67,48,52,55,59,72,60,51,55,58,62,62,43,46,50,53,64,67,72,72,67,48,52,55,57,72,42,45,49,52,71,71,47,51,54,57,71,67,67,52,55,59,62,67,69,69,45,48,52,55,69,72,50,53,57,60,71,69,43,47,50,53,71,48,52,55,59,64,50,53,57,60,65,67,48,52,55,59,72,60,51,55,58,62,62,43,46,50,53,64,64,67,72,48,52,55,58,62,71,42,45,49,52,69,71,69,47,51,54,57,72,71,71,52,55,59,62,71,69,69,45,48,52,55,69,72,71,69,38,42,45,48,52,67,50,53,57,60,62,64,36,40,43,46,50,53,57,64,65,50,53,57,60,62,64,48,52,55,57,67,69,45,49,52,55,67,50,53,57,60,64,43,47,50,53,62,48,52,55,60,60,48,52,55,57],\"program\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"start_time\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[477]},\"top\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[477]},\"velocity\":[64,64,64,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,64,64,64,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,64,64,64,48,48,48,48,48,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,64,48,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,48,48,48,48,64,48,48,48,64,64,64,64,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,64,64,64,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,64,64,64,48,48,48,48,48,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,48,48,48,48,64,64,64,64,48,48,48,48,48,64,48,48,48,48,64,64,48,48,48,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,64,48,48,48,48,64,48,48,48,48,64,48,48,48,48,64,48,48,48,64,64,48,48,48,48]},\"selected\":{\"id\":\"1048\"},\"selection_policy\":{\"id\":\"1049\"}},\"id\":\"1034\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1040\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1009\",\"type\":\"LinearScale\"}],\"root_ids\":[\"1002\"]},\"title\":\"Bokeh Application\",\"version\":\"2.3.3\"}};\n",
713 |               "  var render_items = [{\"docid\":\"97214897-aac1-47cf-b7dd-f27613b4fd97\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"81fce8f5-a203-425d-8fb9-70c5152d7114\"}}];\n",
714 |               "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
715 |               "\n",
716 |               "  }\n",
717 |               "  if (root.Bokeh !== undefined) {\n",
718 |               "    embed_document(root);\n",
719 |               "  } else {\n",
720 |               "    var attempts = 0;\n",
721 |               "    var timer = setInterval(function(root) {\n",
722 |               "      if (root.Bokeh !== undefined) {\n",
723 |               "        clearInterval(timer);\n",
724 |               "        embed_document(root);\n",
725 |               "      } else {\n",
726 |               "        attempts++;\n",
727 |               "        if (attempts > 100) {\n",
728 |               "          clearInterval(timer);\n",
729 |               "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
730 |               "        }\n",
731 |               "      }\n",
732 |               "    }, 10, root)\n",
733 |               "  }\n",
734 |               "})(window);"
735 |             ],
736 |             "application/vnd.bokehjs_exec.v0+json": ""
737 |           },
738 |           "metadata": {
739 |             "application/vnd.bokehjs_exec.v0+json": {
740 |               "id": "1002"
741 |             }
742 |           }
743 |         }
744 |       ]
745 |     }
746 |   ]
747 | }


--------------------------------------------------------------------------------