Mini_Project_D3_Trial_4.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Mini_Project_D3-Trial-3.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "g0Hv687nWbQW"
      },
      "source": [
        "#library for understanding music\n",
        "from music21 import *"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zunD_u6AXpdG"
      },
      "source": [
        "#defining function to read MIDI files\n",
        "def read_midi(file):\n",
        "    \n",
        "    print(\"Loading Music File:\",file)\n",
        "    \n",
        "    notes=[]\n",
        "    notes_to_parse = None\n",
        "    \n",
        "    #parsing a midi file\n",
        "    midi = converter.parse(file)\n",
        "  \n",
        "    #grouping based on different instruments\n",
        "    s2 = instrument.partitionByInstrument(midi)\n",
        "\n",
        "    #Looping over all the instruments\n",
        "    for part in s2.parts:\n",
        "    \n",
        "        #select elements of only piano\n",
        "        if 'Piano' in str(part): \n",
        "        \n",
        "            notes_to_parse = part.recurse() \n",
        "      \n",
        "            #finding whether a particular element is note or a chord\n",
        "            for element in notes_to_parse:\n",
        "                \n",
        "                #note\n",
        "                if isinstance(element, note.Note):\n",
        "                    notes.append(str(element.pitch))\n",
        "                \n",
        "                #chord\n",
        "                elif isinstance(element, chord.Chord):\n",
        "                    notes.append('.'.join(str(n) for n in element.normalOrder))\n",
        "\n",
        "    return np.array(notes)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J8GlOQvlF_Oi",
        "outputId": "c52f5b73-3042-4720-f7b3-2c9ec10b54f7"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kxV5P-hTXqcy",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0adbd7b9-fa13-48b6-9a29-a5695d83eb9b"
      },
      "source": [
        "#for listing down the file names\n",
        "import os\n",
        "\n",
        "#Array Processing\n",
        "import numpy as np\n",
        "\n",
        "#specify the path\n",
        "path='/content/drive/MyDrive/Mini Project- D3/MidiData/'\n",
        "\n",
        "#read all the filenames\n",
        "files=[i for i in os.listdir(path) if i.endswith(\".mid\")]\n",
        "\n",
        "#reading each midi file\n",
        "notes_array = np.array([read_midi(path+i) for i in files])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schuim-4.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D850_3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schuim-3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d760_4.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d760_3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D935_2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d960_1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D850_4.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D850_1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d760_1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d760_2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D935_1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schuim-2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schuim-1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d960_3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D935_3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D935_4.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schubert_D850_2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schumm-1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d960_2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schub_d960_4.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schumm-6.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schumm-5.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schu_143_2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schumm-2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schumm-4.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schu_143_1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schumm-3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/schu_143_3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op7_1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op7_2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op10_e01.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op10_e12.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chp_op18.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op23.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op25_e1.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op25_e2.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op25_e3.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op25_e4.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op25_e11.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op25_e12.mid\n",
            "Loading Music File: /content/drive/MyDrive/Mini Project- D3/MidiData/chpn_op27_1.mid\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:14: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
            "  \n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YZWeY7LJXw5e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cf9c0f7d-2cea-4f83-d85c-12068624374f"
      },
      "source": [
        "#converting 2D array into 1D array\n",
        "notes_ = [element for note_ in notes_array for element in note_]\n",
        "\n",
        "#No. of unique notes\n",
        "unique_notes = list(set(notes_))\n",
        "print(len(unique_notes))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "327\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zib0FPH3X2RZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        },
        "outputId": "b537b15e-0e1b-41b6-ad92-8c4512f71f2d"
      },
      "source": [
        "#importing library\n",
        "from collections import Counter\n",
        "\n",
        "#computing frequency of each note\n",
        "freq = dict(Counter(notes_))\n",
        "\n",
        "#library for visualiation\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#consider only the frequencies\n",
        "no=[count for _,count in freq.items()]\n",
        "\n",
        "#set the figure size\n",
        "plt.figure(figsize=(5,5))\n",
        "\n",
        "#plot\n",
        "plt.hist(no)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([224.,  44.,  16.,   9.,   5.,   9.,  12.,   6.,   0.,   2.]),\n",
              " array([1.0000e+00, 2.2560e+02, 4.5020e+02, 6.7480e+02, 8.9940e+02,\n",
              "        1.1240e+03, 1.3486e+03, 1.5732e+03, 1.7978e+03, 2.0224e+03,\n",
              "        2.2470e+03]),\n",
              " <a list of 10 Patch objects>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 319,
              "height": 302
            },
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8B8sUrO3X3v2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4b2dc297-bc5e-499f-e564-38583d3326ef"
      },
      "source": [
        "frequent_notes = [note_ for note_, count in freq.items() if count>=50]\n",
        "print(len(frequent_notes))\n",
        "print(frequent_notes)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "179\n",
            "['B5', 'G#2', 'E-6', 'G#5', '8.11.3', 'E-5', 'B4', 'G#4', 'E-4', '7.10', '10.3', '8.11', '3.7.10', '7.10.1', '10.1.3', 'B2', 'F#6', '11.3.6', 'F#5', 'F#4', '10.1', '11.3', '3.6', '4.10', '1.6', 'D6', '11.2.6', 'D5', '11.2', '7.9', '6.9.1', '6.9', '1.7', '4.9', '2.6', '6.10.1', '1.4', '6.10', '4.8', '8.1', '3.8', 'C6', '8.0.3', 'C5', '1.3', 'G#6', 'C#5', 'C#3', 'F5', '1.5.8', 'F4', 'E-2', 'G5', 'B-4', 'G4', 'C#6', 'F6', 'G6', 'B-5', 'E-3', 'G#3', 'G3', 'F3', 'C#4', 'C4', 'B-3', 'A6', 'A5', 'B-6', 'C7', 'C#7', '1.5', '1.4.7.10', 'E4', 'C3', 'B-2', '8.0', 'C#2', '1.4.8', 'A4', 'C2', '3.6.8', '6.8', 'E5', 'E2', '9.0', '9.1', 'B1', '11.4', '2.8', '4.7', '3.7', '0.3.6', 'G#1', '0.3', 'A1', '9.1.4', 'E6', '3.9', '5.8', '5.10', 'D2', '2.5', '9.2', '3', '8', '7.9.1', '9', '11', '4.7.9', '1', '2.6.9', 'A3', '2', '6', 'D4', '6.11', '4', '2.4.8', 'B3', 'E3', 'F#3', '4.7.11', '1.4.7', '0', '2.7', '10', '4.8.11', 'A2', 'G2', '10.2.5', '10.2', '0.3.7', '5', '0.3.5', '5.9.0', 'F2', '5.8.11', '7.10.2', 'D3', '5.9', 'B-1', '7', '2.4', '7.11.2', 'F#2', '8.11.1', '5.11', '7.11', '0.2', '0.4.7', '7.0', '11.2.5.7', '0.4', '9.0.4', '3.6.9', 'G1', 'F#1', 'B6', '5.7', '0.6', '0.2.6', 'D7', '0.5', '2.5.9', '10.1.4', '2.5.7', 'E7', '8.11.2', '2.5.8', '9.0.2', '1.3.7', '10.1.5', '7.10.0', '11.2.4', '5.8.0', '3.5.9', 'E-7', '5.8.10']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zZvMI1TSX6T5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1123047f-2fde-4862-dbfc-9c4c35138927"
      },
      "source": [
        "new_music=[]\n",
        "\n",
        "for notes in notes_array:\n",
        "    temp=[]\n",
        "    for note_ in notes:\n",
        "        if note_ in frequent_notes:\n",
        "            temp.append(note_)            \n",
        "    new_music.append(temp)\n",
        "    \n",
        "new_music = np.array(new_music)\n",
        "print(new_music)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[list(['B5', 'G#2', 'E-6', 'B5', 'G#5', 'G#5', '8.11.3', 'B5', 'G#5', 'E-5', 'E-5', 'G#5', 'E-5', 'B4', 'B4', 'E-5', 'B4', 'G#4', 'G#4', 'B4', 'G#4', 'E-4', '7.10', '10.3', 'B5', 'G#2', 'E-6', 'B5', 'G#5', 'G#5', '8.11.3', 'B5', 'G#5', 'E-5', 'E-5', 'G#5', 'E-5', 'B4', 'B4', 'E-5', 'B4', 'G#4', 'G#4', 'B4', 'G#4', 'E-4', '7.10', '10.3', '8.11', '8.11.3', '3.7.10', '10.3', '7.10.1', '10.1.3', 'B5', 'G#2', 'E-6', 'B5', 'G#5', 'G#5', '8.11.3', 'B5', 'G#5', 'E-5', 'E-5', 'G#5', 'E-5', 'B4', 'B4', 'E-5', 'B4', 'G#4', 'G#4', 'B4', 'G#4', 'E-4', '7.10', '10.3', 'B5', 'G#2', 'E-6', 'B5', 'G#5', 'G#5', '8.11.3', 'B5', 'G#5', 'E-5', 'E-5', 'G#5', 'E-5', 'B4', 'B4', 'E-5', 'B4', 'G#4', 'G#4', 'B4', 'G#4', 'E-4', '7.10', '10.3', '8.11', '8.11.3', 'E-6', 'B2', 'F#6', 'E-6', 'B5', 'B5', '11.3.6', 'E-6', 'B5', 'F#5', 'F#5', 'B5', 'F#5', 'E-5', 'E-5', 'F#5', 'E-5', 'B4', 'B4', 'E-5', 'B4', 'F#4', '10.1', 'E-6', 'B2', 'F#6', 'E-6', 'B5', 'B5', '11.3.6', 'E-6', 'B5', 'F#5', 'F#5', 'B5', 'F#5', 'E-5', 'E-5', 'F#5', 'E-5', 'B4', 'B4', 'E-5', 'B4', 'F#4', '10.1', '11.3', '11.3', '3.6', '4.10', '1.6', 'D6', 'B2', 'F#6', 'D6', 'B5', 'B5', '11.2.6', 'D6', 'B5', 'F#5', 'F#5', 'B5', 'F#5', 'D5', 'D5', 'F#5', 'D5', 'B4', 'B4', 'D5', 'B4', 'F#4', '10.1', 'D6', 'B2', 'F#6', 'D6', 'B5', 'B5', '11.2.6', 'D6', 'B5', 'F#5', 'F#5', 'B5', 'F#5', 'D5', 'D5', 'F#5', 'D5', 'B4', 'B4', 'D5', 'B4', 'F#4', '10.1', '11.2.6', '11.2', '7.9', '7.9', '7.9', '6.9.1', '6.9', '1.7', '4.9', '2.6', '11.2', '7.10.1', '7.10.1', '7.10.1', '6.10.1', '1.6', '1.4', '6.10', '11.3', '8.11', '4.8', '8.1', '4.8', '8.1', '4.8', '8.1', '3.8', '8.11.3', '8.1', '4.8', '8.11.3', '8.11.3', '8.11.3', '8.11.3', '8.11.3', '8.11.3', '3.7.10', '3.7.10', '3.7.10', '3.7.10', '3.7.10', '3.7.10', 'C6', 'G#2', 'E-6', 'C6', 'G#5', 'G#5', '8.0.3', 'C6', 'G#5', 'E-5', 'E-5', 'G#5', 'E-5', 'C5', 'C5', 'E-5', 'C5', 'G#4', 'G#4', 'C5', 'G#4', 'E-4', '7.10', '1.3', 'C6', 'G#2', 'E-6', 'C6', 'G#5', 'G#5', '8.0.3', 'C6', 'G#5', 'E-5', 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            " list(['B-4', '1.6', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'C#4', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'B-4', '1.6', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'B-4', '1.6', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'B-4', '3', 'B-3', 'E-4', 'F#4', 'E-4', 'B-3', 'E-4', 'B-3', 'E-4', 'F#4', 'E-4', 'B-3', 'F#4', 'F#3', 'B-3', 'E-4', 'B-3', 'F#3', 'B-3', 'F#3', 'B-3', 'E-4', 'B-3', 'F#3', 'G#4', '11', 'G#3', 'B3', 'E-4', 'B3', 'G#3', 'B3', 'G#3', 'B3', 'E-4', 'B3', 'G#3', 'F#4', '1', 'G#3', 'B3', 'F4', 'G#3', 'B3', 'E-4', 'G#3', 'B3', 'C#4', 'F3', 'G#3', 'F#4', '10.1', 'F#3', 'B-3', 'C#4', 'B-3', 'F#3', 'B-4', '3.6', 'C4', 'E-4', 'F#4', 'E-4', 'C4', 'C#2', 'G#4', 'F3', 'G#3', 'C#4', 'F4', 'C#4', 'G#3', 'C#4', 'G#3', 'C#4', 'F4', 'A4', 'C#4', 'A3', 'B-4', '1.6', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'C#4', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'B-4', '1.6', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'B-4', '1.6', 'B-3', 'C#4', 'F#4', 'C#4', 'B-3', 'B-4', '3', 'B-3', 'E-4', 'F#4', 'E-4', 'B-3', 'E-4', 'B-3', 'E-4', 'F#4', 'E-4', 'B-3', 'F#4', '3', 'F#3', 'B-3', 'E-4', 'B-3', 'F#3', 'F4', '10', 'F3', 'G#3', 'D4', 'G#3', 'F3', 'E-4', '11', 'E-3', 'F#3', 'B3', 'F#3', 'E-3', 'G#4', '8', 'G#3', 'B3', 'E-4', 'B3', 'G#3', 'F#4', '1', 'B3', 'G#3', 'F4', 'B3', 'G#3', 'E-4', 'B3', 'G#3', 'F4', 'B3', 'G#3', 'G#4', '1.6', 'B3', 'C#4', 'F4', 'C#4', 'B3', 'C#4', 'B3', 'C#4', 'F4', 'C#4', 'B3', 'F#4', 'F#3', 'B-3', 'C#4', 'B-3', 'F#3', 'B-3', 'F#3', 'B-3', 'C#4', 'B-3', 'F#3', 'G#4', '1.5', 'G#3', 'C#4', 'F4', 'C#4', 'G#3', 'C#4', 'G#3', 'C#4', 'F4', 'C#4', 'G#3', 'B-4', '3.7.10', 'C#4', 'E-4', 'G4', 'E-4', 'C#4', 'E-4', 'C#4', 'E-4', 'G4', 'E-4', 'C#4', 'C#5', '3.8', 'C#4', 'E-4', 'G#4', 'E-4', 'C#4', 'E-4', 'C#4', 'E-4', 'B4', 'G#4', 'E-4', 'B3', 'B4', '3.8', 'B3', 'E-4', 'G#4', 'E-4', 'B3', 'E-4', 'B3', 'E-4', 'G#4', 'E-4', 'B3', 'B4', '4.8', 'B3', 'E4', 'G#4', 'E4', 'B3', 'E4', 'B3', 'E4', 'G#4', 'E4', 'B3', 'B4', '3.6', 'B3', 'E-4', 'F#4', 'E-4', 'B3', 'C#5', '6.10.1', 'E4', 'F#4', 'B-4', 'F#4', 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'0.4.7', '0', 'G6', '7.11.2', '7', 'G6', '0.4.7', '0.4.7', 'C6', 'C5', 'G5', 'G4', 'E5', 'E4', 'C5', 'C4', 'G4', 'G3', 'E4', 'E3', 'C4', 'C3', 'G3', 'G2', 'C4', 'C3', 'E4', 'E3', 'G4', 'G3', 'C5', 'C4', 'E5', 'E4', 'G5', 'G4', '0.4.7', '0.4.7', 'E6', 'E5', 'C6', 'C5', 'G5', 'G4', 'E5', 'E4', 'C5', 'C4', 'G4', 'G3', 'E4', 'E3', 'C4', 'C3', 'E4', 'E3', 'G4', 'G3', 'C5', 'C4', 'E5', 'E4', 'G5', 'G4', 'C6', 'C5', '0.4.7', '0.4.7', 'G6', 'G5', 'E6', 'E5', 'C6', 'C5', 'G5', 'G4', 'E5', 'E4', 'C5', 'C4', 'G4', 'G3', 'E4', 'E3', 'G4', 'G3', 'C5', 'C4', 'E5', 'E4', 'G5', 'G4', 'C6', 'C5', 'E6', 'E5', '0.4.7', '0.4.7', 'C7', 'C6', 'G6', 'G5', 'E6', 'E5', 'C6', 'C5', 'G5', 'G4', 'E5', 'E4', 'C5', 'C4', 'G4', 'G3', 'C5', 'C4', 'E5', 'E4', 'G5', 'G4', 'C6', 'C5', 'E6', 'E5', 'G6', 'G5', '0.4.7', '0.4.7', 'E7', 'C4', 'C7', 'G3', 'G6', 'E3', 'E6', 'C3', 'C6', 'G2', 'G5', 'E2', 'E5', 'C2', 'C5', 'G1', 'E5', 'C2', 'G5', 'E2', 'C6', 'G2', 'E6', 'C3', 'G6', 'E3', 'C7', 'G3', '0.4.7', '0.4.7', '7.11.2', 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            " list(['G4', 'G3', 'G#4', 'G#3', 'E-4', 'E-3', 'C4', 'C3', 'G#3', 'G#2', 'G4', 'G3', 'G#4', 'G#3', 'E-4', 'E-3', 'C4', 'C3', 'G#3', 'G#2', '0.3', '3.8', '0.3', '3.8', '0.3', '3.8', '0.3', '3.8', '0.3', '3.8', '0.3', '3.8', '11.3', '3.8', 'C5', 'G#4', 'E-4', 'C4', 'E-4', 'G#4', 'C5', 'E-5', 'G#5', '9', '1.3.7', '10', '1.3.7', 'D4', 'D3', 'E-4', 'E-3', 'B-3', 'B-2', 'G3', 'G2', 'E-3', 'E-2', '1.3', '10.3', '1.3', '10.3', '1.3', '10.3', '1.3', '10.3', '1.3', '10.3', '1.3', '10.3', '0.3', '10.3', 'C#5', 'B-4', 'G4', 'E-4', 'G4', 'B-4', 'C#5', 'E-5', 'G5', '11', '0', '3.8', 'G4', 'G3', 'G#4', 'G#3', 'E-4', 'E-3', 'C4', 'C3', 'G#3', 'G#2', '3.6.8', 'G#2', 'A2', 'B-2', '3.6.8', 'B2', '3.6.8', 'C3', 'E5', 'C#3', 'F5', 'C#4', 'C#5', 'G#3', 'G#4', 'F3', 'F4', 'C#3', '0.3.5', 'F2', 'F#2', 'G2', '0.3.5', 'G#2', '0.3.5', 'A2', 'C5', 'B-2', 'C#5', 'B-3', 'B-4', 'F3', 'F4', 'C#3', 'C#4', 'B-2', 'C6', '7', 'C#6', 'B-5', 'G5', 'C#5', '1.4.7.10', 'B5', '8', 'C6', 'G#5', 'E-5', 'C5', 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'10.1.4', '8.0', '0.3', '7.10', '1.3', '8', '8.0.3'])\n",
            " list([])\n",
            " list(['2.6', '6.9', '2.6', '6.9', '2.6', '6.9', 'A5', '2.6', 'B5', 'A5', '6.9', 'F#5', 'D5', '2.6', 'D5', '6.9', 'D5', 'C#5', '4.7', 'B4', 'C#5', '7.9', 'E5', 'A4', '2.6', 'D5', '6.9', 'E5', '1.7', 'G5', 'G5', 'B5', '7.9', 'A5', 'A5', '2.6', 'A5', '6.9', 'C#6', 'B5', '2.7', 'B-5', 'B5', '7.11.2', 'D6', 'A5', '2.6', '6.9', 'A5', '2.6', 'B5', 'A5', '6.9', 'F#5', 'D5', '2.6', 'D5', '6.9', 'C#5', '4.7', 'B4', 'C#5', '7.9', 'F#5', 'F#5', '6.10', '10.1', 'G5', '11.2', 'B5', 'E6', 'D6', '2.7', 'B5', 'G5', 'F#5', '2.6', 'F#5', '6.9', 'E5', '1.7', 'G5', 'B5', 'A5', '7.9', 'G5', 'C#5', 'D5', '2.6', 'D4', 'D3', 'F#4', 'F#3', 'B4', 'B3', 'A4', 'A3', 'F#4', 'F#3', 'D4', 'D3', '4.9', '1.7', '4.9', '7.9', 'E4', '1.7', 'G4', 'C#5', 'B4', '7.9', 'G4', 'E4', '2.6.9', '2.6', '6.9', 'D5', '2.6', 'F#5', 'B5', 'A5', '6.9', 'F#5', 'D5', 'C#5', '1.4', 'A4', 'F#5', 'E5', '9.1', 'C#5', 'A4', 'G#4', '11.2', 'E4', 'G#4', 'E5', '2.4', 'D5', 'B4', 'A4', '9.1', '1.4', '9.1.4', 'A3', 'C#4', 'F#4', 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'C#6', 'F#6', '6.9', 'F6', 'G#6', 'F#6', 'C4', 'B2', 'B3', 'B6', '4.8', 'E7', 'E-7', 'C#7', 'B3', 'B6', 'A6', '4.8', 'G#6', 'B3', 'F#6', 'E6', '4.8', 'E-6', 'C#6', 'B5', 'B3', 'B2', 'B3', 'B5', 'A6', 'G#6', 'F#6', 'B3', 'E6', 'E-6', 'C#6', 'B3', 'B5', 'B-5', '3.6.9', 'B5', 'A5', 'F#5', 'B3', 'E5', 'E-5', 'E2', 'C#5', 'B3', 'B4', 'B-4', '4.8', 'B4', 'C#5', 'E-5', 'B3', 'E5', 'E-5', '4.8', 'E5', 'B3', 'F#5', 'G#5', '4.8', 'G5', 'G#5', 'B-5', 'B3', 'B5', 'B-5', '4.8', 'B5', 'E-6', 'E6', 'E-6', 'E6', 'F#6', 'G#6', 'G6', 'G#6', 'A6', 'G#6', 'G#5', 'G6', 'G5', 'G#6', 'A6', 'G#5', 'A5', 'F#6', 'A6', 'F#5', 'A5', 'E6', 'E5', 'A6', 'A5', 'E-6', 'E-5', 'A6', 'A5', 'C#6', 'A6', 'C#5', 'A5', 'C6', 'E-6', 'C5', 'E-5', 'A5', 'A4', 'E-6', 'E-5', 'G#5', 'G#4', 'E-6', 'E-5', 'G5', 'E-6', 'G4', 'E-5', 'F#5', 'A5', 'F#4', 'A4', 'E5', 'E4', 'A5', 'A4', 'E-5', 'E-4', 'A5', 'A4', 'C#5', 'A5', 'C#4', 'A4', 'C5', 'E-5', 'C4', 'E-4', 'A4', 'A3', 'E-5', 'E-4', 'G#4', 'G#3', 'E-5', 'E-4', 'G4', 'E-5', 'G3', 'E-4', 'F#4', 'A4', 'F#3', 'A3', 'E4', 'E3', 'A4', 'A3', 'E-4', 'E-3', 'A4', 'A3', 'C#4', 'A4', 'C#3', 'A3', 'C4', 'E-4', 'C3', 'E-3', 'A3', 'A2', 'E-4', 'E-3', 'G#3', 'G#2', 'E-4', 'E-3', 'G3', 'E-4', 'G2', 'E-3', 'F#3', 'A3', 'F#2', 'A2', 'E-3', 'E-2', 'A3', 'A2', 'C#3', 'C#2', 'A3', 'A2', 'C3', 'A3', 'C2', 'A2', 'F#3', 'A3', 'F#2', 'A2', 'E-3', 'E-2', 'A3', 'A2', 'C#3', 'C#2', 'A3', 'A2', 'C3', 'A3', 'C2', 'A2', 'F#3', 'A3', 'F#2', 'A2', 'D3', 'D2', 'A3', 'A2', 'C#3', 'C#2', 'A3', 'A2', 'C3', 'A3', 'C2', 'A2', 'F#3', 'A3', 'F#2', 'A2', 'D3', 'D2', 'A3', 'A2', 'C#3', 'C#2', 'A3', 'A2', 'C3', 'A3', 'C2', 'A2', 'C#3', 'A3', 'C#2', 'A2', 'E3', 'E2', 'A3', 'A2', 'F#3', 'F#2', 'A3', 'A2', 'G3', 'A3', 'G2', 'A2', 'F#3', 'A3', 'F#2', 'A2', 'E3', 'E2', 'A3', 'A2', 'D3', 'D2', 'A3', 'A2', 'C3', 'B-3', 'C2', 'B-2', 'B2', 'B3', 'B1', 'B2', 'E-3', 'E-2', 'B3', 'B2', 'F#3', 'F#2', 'B3', 'B2', 'A3', 'B3', 'A2', 'B2', 'G#3', 'B3', 'G#2', 'B2', 'F#3', 'F#2', 'B3', 'B2', 'E3', 'E2', 'B3', 'B2', 'D3', 'C4', 'D2', 'C3', 'C#3', 'C#4', 'C#2', 'C#3', 'F3', 'F2', 'C#4', 'C#3', 'G#3', 'G#2', 'C#4', 'C#3', 'B3', 'C#4', 'B2', 'C#3', 'B-3', 'C#4', 'B-2', 'C#3', 'G#3', 'G#2', 'C#4', 'C#3', 'F#3', 'F#2', 'C#4', 'C#3', 'E3', 'D4', 'E2', 'D3', 'E-3', 'E-4', 'E-2', 'E-3', 'G3', 'G2', 'E-4', 'E-3', 'B-3', 'B-2', 'E-4', 'E-3', 'C#4', 'E-4', 'C#3', 'E-3', 'C4', 'E-4', 'C3', 'E-3', 'B-3', 'B-2', 'E-4', 'E-3', 'G#3', 'G#2', 'E-4', 'E-3', 'F#3', 'E4', 'F#2', 'E3', 'F3', 'F4', 'F2', 'F3', 'A3', 'A2', 'F4', 'F3', 'C4', 'C3', 'F4', 'F3', 'E-4', 'F4', 'E-3', 'F3', 'D4', 'F4', 'D3', 'F3', 'C4', 'C3', 'F#4', 'F#3', 'B3', 'B2', 'G4', 'G3', 'F4', 'G4', 'F3', 'G3', 'E4', 'G4', 'E3', 'G3', 'D4', 'D3', 'G#4', 'G#3', 'C#4', 'C#3', 'A4', 'A3', 'G4', 'A4', 'G3', 'A3', 'F#4', 'A4', 'F#3', 'A3', 'E4', 'E3', 'B-4', 'B-3', 'E-4', 'E-3', 'B4', 'B3', 'A4', 'B4', 'A3', 'B3', 'G#4', 'B4', 'G#3', 'B3', 'F#4', 'F#3', 'C5', 'C4', 'F4', 'F3', 'C#5', 'C#4', 'B4', 'C#5', 'B3', 'C#4', 'B4', 'C#5', 'B3', 'C#4', 'B4', 'B3', 'C#5', 'C#4', 'B4', 'B3', 'C#5', 'C#4', 'B4', 'C#5', 'B3', 'C#4', 'B4', 'C#5', 'B3', 'C#4', 'G#4', 'G#3', 'C#5', 'C#4', 'F#4', 'F#3', 'C#5', 'C#4', 'F4', 'C#5', 'F3', 'C#4', 'B4', 'D5', 'B3', 'D4', 'G#4', 'G#3', 'D5', 'D4', 'F#4', 'F#3', 'D5', 'D4', 'F4', 'D5', 'F3', 'D4', 'B4', 'C#5', 'B3', 'C#4', 'G#4', 'G#3', 'C#5', 'C#4', 'F#4', 'F#3', 'C#5', 'C#4', 'F4', 'C#5', 'F3', 'C#4', 'B4', 'D5', 'B3', 'D4', 'G#4', 'G#3', 'D5', 'D4', 'F#4', 'F#3', 'D5', 'D4', 'F4', 'D5', 'F3', 'D4', '3.6.9', '0', '11.3.6', '3', '11.3.6', '3', '3.6.9', '6', '3.6.9', '6', '3.6.9', '9', '3.6.9', '9', '3.6.9', '0', '6.9.1', '1', '3.6.9', '6', '3.6.9', '6', '6.9.1', '9', '6.9.1', '9', '6.9.1', '1', '6.9.1', '1', '6.9.1', 'F#3', '3.6.9', '0', '11.3.6', '3', '11.3.6', '3', '3.6.9', '6', '3.6.9', '6', '3.6.9', '9', '3.6.9', '9', '3.6.9', '0', '3.6.8', '8', '3.6.8', '0', '3.6.8', '0', '3.6.8', '3', '3.6.8', '3', '3.6.8', '8', '3.6.8', '8', '3.6.8', '0', '1.5.8', '1', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', 'C3', 'C#3', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', 'C3', 'C#3', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', 'C3', 'C#3', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '8', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'F2', 'D3', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'F2', 'D3', '8', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'F2', 'D3', '8', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'E2', 'C#3', '8', 'E-2', 'C3', 'F#2', 'C3', 'G#2', 'C3', 'C2', 'C3', 'E-2', 'C3', 'F#2', 'C3', 'G#2', 'C3', '9', 'C2', 'C3', '8', 'E-2', 'C3', 'F#2', 'C3', 'G#2', 'C3', 'C2', 'C3', 'E-2', 'C3', 'F#2', 'C3', 'G#2', 'C3', 'C2', 'C3', '5', 'C#2', 'C#3', 'F2', 'C#3', 'G#2', 'C#3', 'C3', 'C#3', 'C#2', 'C#3', 'F2', 'C#3', 'G#2', 'C#3', 'C3', 'C#3', '8', 'B-2', 'B-3', 'C#3', 'B-3', '6', 'F#3', 'B-3', 'A3', 'B-3', '5', 'B-2', 'B-3', 'C#3', 'B-3', '6', 'F#3', 'B-3', 'A3', 'B-3', '8', 'G#2', 'G#3', 'C#3', 'G#3', 'F3', 'G#3', 'G3', 'G#3', 'G#2', 'G#3', 'C#3', 'G#3', 'F3', 'G#3', 'G3', 'G#3', '1', 'G#2', 'G#3', 'E-3', 'G#3', '0', 'F#3', 'G#3', 'G3', 'G#3', '3', 'G#2', 'G#3', 'E-3', 'G#3', '5', 'F#3', 'G#3', 'G3', 'G#3', '1', 'C3', 'C#3', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', 'C3', 'C#3', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', 'C3', 'C#3', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', 'C3', 'C#3', 'G#2', 'C#3', 'F2', 'C#3', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '11.2', '11.2', 'C3', 'C#3', '11.2', 'G#2', '11.2', 'C#3', '11.2', 'F2', '11.2', 'C#3', '11.2', '11.2', 'C#2', 'C#3', '11', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'F2', 'D3', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'F2', 'D3', '11', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'F2', 'D3', '11', 'B2', 'D3', 'G#2', 'D3', 'F#2', 'D3', 'F2', 'D3', '11', 'F#2', 'E-3', 'A2', 'E-3', 'B2', 'E-3', 'E-2', 'E-3', 'F#2', 'E-3', 'A2', 'E-3', 'B2', 'E-3', '0', 'E-2', 'E-3', '11', 'F#2', 'E-3', 'A2', 'E-3', 'B2', 'E-3', 'E-2', 'E-3', 'F#2', 'E-3', 'A2', 'E-3', 'B2', 'E-3', 'E-2', 'E-3', '8', 'E2', 'E3', 'G#2', 'E3', 'B2', 'E3', 'E-3', 'E3', 'E2', 'E3', 'G#2', 'E3', 'B2', 'E3', 'E-3', 'E3', '11', 'C#3', 'C#4', 'E3', 'C#4', '9', 'A3', 'C#4', 'C4', 'C#4', '8', 'C#3', 'C#4', 'E3', 'C#4', '9', 'A3', 'C#4', 'C4', 'C#4', '11', 'B2', 'B3', 'E3', 'B3', 'G#3', 'B3', 'B-3', 'B3', 'B2', 'B3', 'E3', 'B3', 'G#3', 'B3', 'B-3', 'B3', '4', 'B2', 'B3', 'F#3', 'B3', '3', 'A3', 'B3', 'B-3', 'B3', '6', 'B2', 'B3', 'F#3', 'B3', '8', 'A3', 'B3', 'B-3', 'B3', '4', 'E-4', 'E4', 'B3', 'E4', 'G#3', 'E4', 'E3', 'E4', 'E-4', 'E4', 'B3', 'E4', 'G#3', 'E4', 'E3', 'E4', 'E-4', 'E4', 'B3', 'E4', 'G#3', 'E4', 'E3', 'E4', 'E-4', 'E4', 'B3', 'E4', 'G#3', 'E4', 'E3', 'E4', '9.0.4', 'E-4', 'E4', 'C4', 'E4', 'A3', 'E4', 'E3', 'E4', 'E-4', 'E4', 'C4', 'E4', 'A3', 'E4', 'E3', 'E4', '9.0', 'E5', 'E-4', 'E4', 'C4', 'E4', 'E-5', 'A3', 'E4', 'E3', 'E4', 'E5', 'E-4', 'E4', 'C4', 'E4', 'F#5', 'A3', 'E4', 'E3', 'E4', '8.11', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', '9.0.4', 'E-3', 'E3', 'C3', 'E3', 'A2', 'E3', 'E2', 'E3', 'E-3', 'E3', 'C3', 'E3', 'A2', 'E3', 'E2', 'E3', '9.0', 'E4', 'E-3', 'E3', 'C3', 'E3', 'E-4', 'A2', 'E3', 'E2', 'E3', 'E4', 'E-3', 'E3', 'C3', 'E3', 'F#4', 'A2', 'E3', 'E2', 'E3', '8.11', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'E-3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'D3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'D3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'D3', 'E3', 'B2', 'E3', 'G#2', 'E3', 'E2', 'E3', 'D3', 'E3', 'B2', 'E3', 'G#2', 'E3'])\n",
            " list(['C4', 'F4', 'C3', 'F2', 'G#3', 'G#4', 'C5', 'B-4', 'G#4', 'B-4', 'G4', '4.7', 'G#4', 'F4', 'F3', 'G#2', 'F#4', 'E-4', 'A2', 'F4', 'C#4', 'G2', 'E-4', 'C4', 'A2', 'C#4', 'B-3', 'C#3', 'C4', 'G#3', 'C3', 'B-3', 'F#3', '10.1', 'G#3', 'F3', '8.0', 'G3', 'E3', '7.10', '7.10.1', '1.4.7.10', 'C5', 'C#5', 'E-5', 'C#5', 'C5', 'C5', '5.8', 'F5', '7.10.1', 'G4', 'B-4', 'C#5', 'B-4', 'G4', 'F4', 'C3', 'F3', 'G#3', 'C4', 'B-3', 'G#3', 'E4', 'G3', 'F#5', 'G5', 'G#5', 'A5', 'B-5', 'B5', 'C5', 'F5', 'C3', 'G#3', 'F2', 'G#5', 'C6', 'B-5', 'G#5', 'B-5', 'G#5', 'G5', 'G#5', 'B-5', 'G5', '4.7', 'G#5', 'G5', 'F5', 'G5', 'G#5', 'F5', 'F3', 'G#2', 'G5', 'F5', 'E5', 'F5', 'F#5', 'E-5', 'A2', 'F5', 'E-5', 'D5', 'E-5', 'F5', 'C#5', 'G2', 'E-5', 'C#5', 'C5', 'C#5', 'E-5', 'C5', 'A2', 'C#5', 'C5', 'B4', 'C5', 'C#5', 'B-4', 'C#3', 'C#5', 'B-4', '1.5', 'C#5', 'G#4', '0.3', 'C#5', 'G#4', '0.3', 'C#5', 'F#4', '10.1', 'C#5', 'F#4', '10.1', 'C#5', 'F4', '8.0', 'C#5', 'F4', '8.0', 'C#5', 'E4', '7.10', '7.10.1', '1.4.7.10', 'C5', 'C#5', 'E-5', 'C#5', 'C5', 'C5', '5.8', 'G#5', 'G5', 'F5', 'C5', 'G#4', 'G4', '7.10.1', 'E-5', 'C5', 'C#5', 'B-4', 'G4', 'F4', '5.8.0', 'C4', 'F4', 'G#4', 'G#3', 'F4', 'F3', 'C#5', 'C#4', 'C5', 'C4', '0.4.7', '0', '5.8.0', '5', 'G#4', 'C5', 'G#4', '5', 'C5', 'G#4', 'C5', 'G4', 'B4', 'G#4', 'C5', 'G#4', '5', 'C5', 'G#4', 'C5', 'A4', 'E-5', 'B-4', 'C#5', 'B-4', '5', 'C#5', 'B-4', 'C#5', 'C#5', 'F5', 'B-4', 'C#5', 'G#4', '5', 'C#5', 'G4', 'C#5', 'G#4', 'C#5', 'G#4', 'C5', 'G#4', '5', 'C5', 'G#4', 'C5', 'G#4', 'B-2', 'C5', 'F#4', 'B-4', 'F#4', '6.10', 'B-4', 'F#4', 'B-4', 'F#4', 'C3', 'B-4', 'F4', 'G#4', 'F4', '5.8', 'G#4', 'F4', 'G#4', 'F4', 'C3', 'G#4', 'E4', 'G4', 'E4', '4.7', 'G4', 'E4', 'G4', 'F4', 'F2', 'G#4', 'C5', 'G#4', '5', 'C5', 'G#4', 'C5', 'G4', 'B4', 'G#4', 'C5', 'G#4', '5', 'C5', 'G#4', 'C5', 'A4', 'E-5', 'B-4', 'C#5', 'B-4', '5.10', 'C#5', 'B-4', 'C#5', 'C#5', 'F5', 'B-4', 'C#5', 'G#4', '3', 'C#5', 'G4', 'C#5', 'G#4', 'C#5', 'G#4', 'C5', 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'C4', 'F4', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', 'F3', '9.0', 'A4', 'C5', '10.2', 'B-4', 'D5', '4.7', 'G4', 'E5', '5.9', 'A4', 'F5', 'F4', 'A4', 'C5', 'F5', 'F4', 'A4', 'C5', 'F5', '5.9', 'A4', 'F5', '0.4', 'C5', 'E5', '10.2', 'B-4', 'D5', '9.0', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', '9.0', '5.9', 'C5', '7.10', '4.10', 'C5', '7.0', '4.7', 'C5', '5.9', '5.9', 'C5', 'C4', 'F4', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', 'C4', 'F4', '5.9', 'A4', 'C5', '7.10', 'B-4', 'C5', '9.0', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', '9.0', 'F3', 'A4', 'C5', '10.2', 'B-4', 'D5', '4.7', 'G4', 'E5', '5.9', 'A4', 'F5', 'F4', 'A4', 'C5', 'F5', 'F4', 'A4', 'C5', 'F5', '5.9', 'A4', 'F5', '0.4', 'C5', 'E5', '10.2', 'B-4', 'D5', '9.0', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', '9.0', '5.9', 'C5', '7.10', '4.10', 'C5', '7.0', '4.7', 'C5', '5.9', '5.9', 'C5', 'C4', 'F4', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', '9.0', '5.9', 'C5', '7.10', '4.10', 'C5', '7.0', '4.7', 'C5', '5.9', '5.9', 'C5', 'C4', 'F4', 'A4', 'C5', 'C4', 'F4', 'A4', 'C5', '9.0', '5.9', 'C5', '7.10', '4.10', 'C5', '7.0', '4.7', 'C5', '5.9', 'F4', 'A4', 'A3', 'C4', 'F4', 'A4', 'A3', 'C4', 'F4', 'A4', 'A3', 'C4', 'F4', 'A4', 'A3', 'C4', 'F4', 'G#4', 'G#3', 'E2', 'C4', 'F4', 'F2', 'G#4', 'G#3', 'G#2', 'C4', 'F4', 'B2', 'G#4', 'G#3', 'C3', 'C4', 'G#4', 'F3', 'C5', 'C4', 'G3', 'F4', 'C4', 'F4', 'G#3', 'C3', 'F2', 'G#4', 'C5', 'B-4', 'G#4', 'B-4', 'G4', '4.7', 'G#4', 'F4', 'G#2', 'F3', 'G4', 'F4', 'E4', 'F4', 'F#4', 'E-4', 'A2', 'F4', 'E-4', 'D4', 'E-4', 'F4', 'C#4', 'G2', 'E-4', 'C#4', 'C4', 'C#4', 'E-4', 'C4', 'A2', 'C#4', 'C4', 'B3', 'C4', 'C#4', 'B-3', 'C#3', 'C#4', 'B-3', '1.5', 'C#4', 'G#3', '0.3', 'C#4', 'G#3', '0.3', 'C#4', 'F#3', '10.1', 'C#4', 'F#3', '10.1', 'C#4', 'F3', '8.0', 'C#4', 'F3', '8.0', 'C#4', 'E3', '7.10', '7.10.1', '1.4.7.10', 'C5', 'C#5', 'E-5', 'C#5', 'C5', 'C5', '5.8', 'G#5', 'G5', 'F5', 'C5', 'G#4', 'G4', '7.10.1', 'E-5', 'C5', 'C#5', 'B-4', 'G4', 'F4', 'C3', 'G#3', 'F3', 'B-3', 'G3', 'C4', 'G#3', 'B-3', 'G3', 'G#3', 'F3', 'C#4', 'E4', 'C3', 'B-3', 'C4', 'G#3', 'B-3', 'G3', 'F4', 'C3', 'G#3', 'F3', 'B-3', 'G3', 'C4', 'G#3', 'B-3', 'G3', 'G#3', 'F3', 'E4', 'C#4', 'C3', 'B-3', 'C4', 'G#3', 'B-3', 'G3', '5.8', '5', '5.8.0', '0.5', '5.8.0', '0.5'])\n",
            " list(['B-5', 'G5', 'E-3', 'B-5', 'G#5', 'G5', 'B-3', 'F5', 'E-5', 'D5', 'C5', 'B-4', 'G#4', 'F3', 'G4', 'F4', 'E-4', 'B-3', 'D4', 'C4', 'B-3', 'C4', 'D4', 'E-4', 'G3', 'D4', 'E-4', 'E4', 'B-3', 'E-4', 'E4', 'F4', 'E4', 'F4', 'F#4', 'D3', 'F4', 'F#4', 'G4', 'B-3', 'F#4', 'G4', 'G#4', 'G4', 'G#4', 'G4', 'E-3', 'B-4', 'G#4', 'G4', 'B-3', 'G#4', 'B-4', 'C5', 'D5', 'E-5', 'F5', 'G#2', 'C6', 'B-5', 'G#5', '8.0', 'G5', 'F5', 'E-5', 'D5', 'C5', 'B-4', 'B-2', 'F5', 'E-5', 'D5', 'C5', 'B-4', 'G#4', 'G4', 'F4', 'E-4', 'E-3', 'F4', 'G4', 'G#4', '3.7.10', 'B-4', 'C5', 'D5', 'E-5', 'F5', 'G5', 'E-3', 'B-5', 'G#5', 'G5', 'B-3', 'F5', 'E-5', 'D5', 'C5', 'B-4', 'G#4', 'F3', 'G4', 'F4', 'E-4', 'B-3', 'D4', 'C4', 'B-3', 'C4', 'D4', 'E-4', 'G3', 'D4', 'E-4', 'E4', 'B-3', 'E-4', 'E4', 'F4', 'E4', 'F4', 'F#4', 'D3', 'F4', 'F#4', 'G4', 'B-3', 'F#4', 'G4', 'G#4', 'G4', 'G#4', 'G4', 'E-3', 'B-4', 'G#4', 'G4', 'B-3', 'G#4', 'B-4', 'C5', 'D5', 'E-5', 'F5', 'G#2', 'C6', 'B-5', 'G#5', '8.0', 'G5', 'F5', 'E-5', 'D5', 'C5', 'B-4', 'B-2', 'F5', 'E-5', 'D5', 'E-5', 'F5', 'G5', 'G#5', 'B-5', 'E-5', 'E-3', 'F5', 'G5', 'G#5', '3.7.10', 'B-5', 'C6', 'D6', 'E-6', 'F6', 'G6', 'E-3', 'B-6', 'G#6', 'G6', 'B-3', 'F6', 'E-6', 'D6', 'C6', 'B-5', 'G#5', 'F3', 'G5', 'F5', 'E-5', 'B-3', 'D5', 'C5', 'B-4', 'C5', 'D5', 'E-5', 'G3', 'D5', 'E-5', 'E5', 'B-3', 'E-5', 'E5', 'F5', 'E5', 'F5', 'F#5', 'D3', 'F5', 'F#5', 'G5', 'B-3', 'F#5', 'G5', 'G#5', 'G5', 'G#5', 'G5', 'E-3', 'B-5', 'G#5', 'G5', 'B-3', 'G#5', 'B-5', 'C6', 'D6', 'E-6', 'F6', 'G#2', 'C7', 'B-6', 'G#6', '8.0', 'G6', 'F6', 'E-6', 'D6', 'C6', 'B-5', 'B-2', 'F6', 'E-6', 'D6', 'C6', 'B-5', 'G#5', 'G5', 'F5', 'E-5', 'E-3', 'G5', 'F5', 'E-5', '3.7.10', 'D5', 'C5', 'B-4', 'G#4', 'F4', 'F#4', 'E-2', 'B-4', 'G#4', 'F#4', 'E-3', 'F4', 'E-4', 'C#4', 'B3', 'B-3', 'B3', 'G#2', 'E-4', 'G#4', 'B4', 'G#3', 'E-4', 'G#4', 'F#4', 'E-4', 'F#4', 'F4', 'C#2', 'B4', 'B-4', 'G#4', 'C#3', 'F#4', 'F4', 'E-4', 'C#4', 'B3', 'B-3', 'F#2', 'C#4', 'F#4', 'B-4', 'F#3', 'C#4', 'F#4', 'F4', 'C#4', 'F4', 'E-4', 'B1', 'B-4', 'G#4', 'F#4', 'B2', 'F4', 'E-4', 'C#4', 'B3', 'B-3', 'G#3', 'F2', 'B3', 'F4', 'G#4', 'F3', 'B3', 'F4', 'E-4', 'B3', 'E-4', 'D4', 'B-1', 'G#4', 'F#4', 'F4', 'B-2', 'E-4', 'D4', 'B3', 'B-3', 'G#3', 'F#3', 'E-2', 'B-3', 'E-4', 'F#4', 'E-3', 'B-3', 'E-4', 'C#4', 'B-3', 'C#4', 'B3', 'G#2', 'E-4', 'G#4', 'B4', 'G#3', 'E-4', 'G#4', 'F#4', 'E-4', 'F#4', 'B4', 'B-2', 'F4', 'D4', 'B-4', 'B-3', 'F4', 'D4', 'D5', 'G#4', 'F4', 'E-5', 'E-3', 'F#5', 'F5', 'E-5', 'C#5', 'B4', 'B-4', 'G#4', 'F4', 'F#4', 'F#2', 'B-4', 'G#4', 'F#4', 'C#3', 'F4', 'E-4', 'C#4', 'B3', 'B-3', 'B3', 'G#2', 'D4', 'F4', 'B4', 'D3', 'F4', 'D4', 'F4', 'C#3', 'C#4', 'B3', 'B-3', 'F#2', 'B-4', 'G#4', 'F#4', 'C#3', 'F4', 'E-4', 'C#4', 'B3', 'B-3', 'B3', 'G#2', 'D4', 'F4', 'B4', 'D3', 'F4', 'D4', 'F4', 'C#3', 'C#4', 'B3', 'C#4', 'F#2', 'F#4', 'B-4', 'C#5', 'F#3', 'B-4', 'F#4', 'F4', 'F#4', 'E4', 'E-4', 'B2', 'G#4', 'B4', 'E-5', 'G#3', 'B4', 'G#4', 'G4', 'G#4', 'F#4', 'F4', 'C#3', 'F#4', 'G4', 'G#4', 'B3', 'B-4', 'B4', 'C#5', 'E-5', 'F5', 'F#5', '6.10', 'B-5', 'G#5', 'F#5', 'F5', 'E-5', 'C#5', 'B4', 'B-4', 'G#4', 'B-2', 'B4', 'B-4', 'G#4', '5.8.11', 'F#4', 'F4', 'E-4', 'D4', 'F4', 'G#4', 'B-2', 'B4', 'B-4', 'G#4', '5.8.11', 'F#4', 'F4', 'E-4', 'D4', 'F4', 'G#4', 'B-2', 'B4', 'B-4', 'G#4', '5.8.11', 'F#4', 'F4', 'E-4', 'D4', 'F4', 'G#4', 'B4', 'D5', 'B4', 'D5', 'F5', 'D5', 'F5', 'F#5', 'G#5', 'B-3', 'B5', 'B-5', 'G#5', '5.8.11', 'F#5', 'F5', 'E-5', 'D5', 'F5', 'G#5', 'B-3', 'B5', 'B-5', 'G#5', 'B4', '5.8', 'F#5', 'F5', 'E-5', 'D5', 'F5', 'G#5', 'B5', 'G#5', 'B5', 'G#5', 'B5', 'G#5', 'B5', 'G#5', 'B-5', 'B-4', 'G#5', 'B-5', 'G#5', 'B-5', 'G#5', 'B-5', 'G#5', 'B-5', 'G5', 'E-3', 'B-5', 'G#5', 'G5', 'B-3', 'F5', 'E-5', 'D5', 'C5', 'B-4', 'G#4', 'F3', 'G4', 'F4', 'E-4', 'B-3', 'D4', 'C4', 'B-3', 'C4', 'D4', 'E-4', 'G3', 'D4', 'E-4', 'E4', 'B-3', 'E-4', 'E4', 'F4', 'E4', 'F4', 'F#4', 'D3', 'F4', 'F#4', 'G4', 'B-3', 'F#4', 'G4', 'G#4', 'G4', 'G#4', 'G4', 'E-3', 'B-4', 'G#4', 'G4', 'B-3', 'G#4', 'B-4', 'C5', 'D5', 'E-5', 'F5', 'G#2', 'C6', 'B-5', 'G#5', '8.0', 'G5', 'F5', 'E-5', 'D5', 'C5', 'D5', 'B-2', 'F5', 'E-5', 'D5', '5.8.10', 'E-5', 'F5', 'G5', 'G#5', 'B-5', 'E-5', 'E-3', 'F5', 'G5', 'G#5', '3.7.10', 'B-5', 'C6', 'D6', 'E-6', 'F6', 'G6', 'E-3', 'B-6', 'G#6', 'G6', 'B-3', 'F6', 'E-6', 'D6', 'C6', 'B-5', 'G#5', 'F3', 'G5', 'F5', 'E-5', 'B-3', 'D5', 'C5', 'B-4', 'C5', 'D5', 'E-5', 'G3', 'D5', 'E-5', 'E5', 'B-3', 'E-5', 'E5', 'F5', 'E5', 'F5', 'F#5', 'D3', 'F5', 'F#5', 'G5', 'B-3', 'F#5', 'G5', 'G#5', 'G5', 'G#5', 'G5', 'C#3', 'F#5', 'G5', 'G#5', '10.3', 'G5', 'G#5', 'B-5', 'G#5', 'B-5', 'G#5', 'C3', 'G5', 'G#5', 'B-5', '3.8', 'G#5', 'B-5', 'C6', 'B5', 'C6', 'D6', 'C3', 'C#6', 'D6', 'E6', '9.2', 'D6', 'E6', 'F#6', 'E6', 'F#6', 'G6', 'B2', 'F#6', 'G6', 'A6', '2.7', 'G6', 'A6', 'B6', 'A6', 'B6', 'C7', 'B-2', 'B6', 'C7', 'D7', '7.0', 'C7', 'D7', 'E7', 'D7', 'E7', 'G#2', 'E-7', 'C#7', 'C7', '0.5', 'B-6', 'G#6', 'G6', 'F6', 'E-6', 'D6', 'B-2', 'C6', 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'F3', 'E-3', 'E-2', 'F3', 'F#3', 'G#3', '10.2', 'B3', 'B-3', 'G#3', 'F#3', 'F3', 'E-3', 'E-2', 'F3', 'F#3', 'G#3', '10.2', 'B3', 'B-3', 'G#3', 'F#3', 'F3', 'E-3', 'E-2', 'F3', 'F2', 'F#3', 'F#2', 'G#3', 'G#2', 'B-3', 'B-2', 'C4', 'C3', 'D4', 'D3', 'E-4', 'E-3', 'F4', 'F3', 'F#4', 'F#3', '6.10.1', '6', 'B4', 'B1', 'B3', '11.2.6', 'D4', 'F#4', 'B3', 'B4', 'B1', 'B3', 'C#4', 'G4', 'B3', 'B4', 'D3', '2.6', '6.11', 'C#5', 'C#3', '6.10', 'D5', 'B2', '2.6', '6.11', 'C#5', 'F#2', 'C#4', '6.10', 'F#4', 'B-4', 'C#4', 'D5', 'B-2', 'D4', '5.8.10', 'F4', 'B-4', 'D4', 'E-5', 'E-2', 'E-4', 'F#4', 'B-4', 'E-4', 'F4', 'B-2', 'F5', 'F#4', 'F#5', 'F4', 'B-2', 'F5', 'E-5', 'E-3', 'E-4', '6.10', 'F#4', 'B-4', 'E-4', 'B5', 'B1', 'B4', '11.2.6', 'D5', 'F#5', 'B4', 'B5', 'B1', 'B4', 'C#5', 'G5', 'B4', 'B5', 'D3', '2.6', '6.11', 'C#6', 'C#3', '6.10', 'D6', 'B2', '2.6', '6.11', 'C#6', 'F#2', 'C#5', '6.10', 'F#5', 'B-5', 'C#5', 'D6', 'B-2', 'D5', '5.8.10', 'F5', 'B-5', 'D5', 'E-6', 'E-2', 'E-5', 'F#5', 'B-5', 'E-5', '10.2.5', 'B-2', 'F6', 'F#6', '10.2.5', 'B-2', 'F6', 'E-6', 'E-3', 'E-5', 'F#5', 'B-5', 'E-5', 'B-6', 'B-2', 'B-5', 'F6', 'G#6', 'B-5', 'B-6', 'E-3', 'B-5', 'E-6', 'F#6', 'B-5', '5.8', '5.8.11', 'G#6', '3.6', 'F#6', '2.5', '5.8.10', 'F6', 'E-6', 'E-3', 'E-5', 'F#5', 'B-5', 'E-5', 'B-6', 'B-2', 'B-5', 'F6', 'G#6', 'B-5', 'B-6', 'E-3', 'B-5', 'E-6', 'F#6', 'B-5', '5.8', '5.8.11', 'G#6', '3.6', 'F#6', '2.5', '5.8.10', 'F6', 'E-6', 'E-3', 'E-5', 'F#5', 'B-5', 'E-5', '8.11', '5.8.11', 'B6', '6.10', 'B-6', '2.5', '5.8.10', 'D7', 'E-7', 'B6', 'B-6', 'G#6', 'F#6', 'F6', 'E-6', '8.11.3', 'E-6', 'B5', 'B-5', 'G#5', 'F#5', 'F5', 'E-5', '8.11.3', 'E-5', 'B4', 'B-4', 'G#4', 'F#4', 'F4', 'E-4', '8.11.3', 'E-4', 'B3', 'B-3', 'G#3', 'F#3', 'F3', 'E-3', '8.11.3', 'E-4', 'E-4', '8.11.3', 'E-4', 'E-4', '8.11.3', 'E-4', 'E-4', '8.11.3', '10.2.5', '10', '10.3'])\n",
            " list(['7', '7', 'B4', 'C5', 'D5', 'D5', 'D5', 'C5', 'D5', 'E-5', 'D5', 'C5', 'D5', 'C5', 'B4', 'A4', 'B4', 'C5', 'D5', 'E-5', 'D5', '7.11.2', 'G3', '0.3.7', 'G3', '2.5.7', 'G3', '2.5.7', 'G3', '2.5.7', 'G3', '0.3.7', 'G3', '2.5.7', 'G3', '3.7', 'G3', 'A3', '2.5.7', 'B3', '0.3.7', 'C4', '2.5.8', 'F3', '8.0.3', 'F3', '7.11.2', 'G3', '7.11.2', '5.7', '0.3.7', '3.7', '3.7', '7', '2.5.7', '7', '0.3.7', '7.0', 'D5', 'E-5', 'F5', 'F5', 'F5', 'E-5', 'D5', 'G5', 'F5', 'E-5', 'D5', 'C5', 'B4', 'A4', 'B4', 'C5', 'F5', 'E-5', 'D5', '10.2.5', 'B-3', '3.7.10', 'B-3', '5.8.10', 'B-3', '5.8.10', 'B-3', '5.8.10', 'B-3', '3.7.10', 'B-3', '10.2.5', 'B-3', '7.10', 'B-3', 'C4', '5.8.10', 'D4', '3.7.10', 'E-4', '2.5.8', 'F3', '8.0.3', 'F3', '7.11.2', 'G3', '7.11.2', '5.7', '0.3.7', '3.7', '3.7', '7', '2.5.7', '7', '0.3.7', '7.0', 'B4', 'C5', 'D5', '8.11.2', 'F4', '9.0.2', 'F#4', 'A4', 'C5', '2.6', 'D5', 'C5', 'A4', 'D5', 'F#4', 'C4', 'E-5', 'D5', 'D4', 'C5', 'E-4', 'A4', 'D5', '2.6', 'C5', 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'B5', 'G3', 'G3', 'G3', 'C6', 'D6', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', '6.9', 'C6', 'G3', 'G3', 'G3', 'D6', '6.9', 'E-6', 'C4', 'G3', 'G3', 'G3', 'G3', 'G3', 'D6', 'D4', 'G3', 'C6', 'E-4', 'G3', 'G3', 'G3', '9.2', 'D6', 'F#4', 'G3', 'G3', 'G3', 'C6', '7.11.2', 'G4', 'G3', 'G3', 'G3', '2.7', 'A5', 'F4', 'G3', 'G3', 'G3', 'B5', '7.0', 'E-4', 'G3', 'G3', 'G3', 'G5', '11.2', 'C4', 'G3', 'G3', 'G3', '0.3', '7.11.2', 'G4', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', 'G#3', 'A3', 'D5', 'B-3', 'B-3', 'B-3', 'E-5', 'F5', 'B-3', 'B-3', 'B-3', '5.10', '5.10', '5.10', '5.8.10', '10.2', '10.2', '10.2', 'E-5', 'F5', 'B-3', 'E-5', 'B-3', 'B-3', 'D5', '7.10', 'G5', 'E-4', 'E-4', 'E-4', '2.8', 'F5', '3.7', '0.3', '0.3', '0.3', '2.5', 'G#4', '5.8', '5.8', '5.8', '0.3', '7.11.2', 'G3', 'G3', 'G3', '2.7', 'A4', '5.7', 'G3', 'G3', 'B4', '7.0', '3.7', 'G3', 'G3', 'G4', 'F5', '7.0', 'G3', 'G3', '0.3', '7.11.2', '7', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', 'G3', '7.11', 'G3', 'G3', 'G3', '9.0', '11.2', 'G3', 'G3', 'G3', '11.2', '11.2', '5.7', '4.7', '2.7', '0.4', '7.0', '7.11', '7.10', '2.5', '4.7', '7.9', '7.9', '7.9', '7.9', '7.9', '2.5', '7.9', '1.4', '7.9', 'A2', 'A2', 'A2', 'A2', 'A2', '1.7', 'E4', 'B-2', 'A2', 'A2', 'A2', 'A2', 'F4', 'A2', 'E4', 'A2', 'A2', 'A2', 'A2', 'A2', 'A2', '2.5', 'G#2', 'G#2', 'G#2', 'G#2', 'G#2', '0.3', 'G#2', '11.2', 'G#2', 'G#2', 'G#2', 'G#2', 'G#2', 'G#2', '5.11', 'D4', 'G2', 'G#2', 'G#2', 'G#2', 'G#2', 'E-4', 'G#2', 'D4', 'G#2', 'G#2', 'G#2', 'G2', 'G2', 'G2', 'A4', 'E-5', 'F#2', 'C3', 'F#2', 'F#2', 'F#2', 'F#2', 'F#2', 'D5', 'F#2', 'D3', 'F#2', 'F#2', 'C5', 'F#2', 'E-3', 'F#2', 'F#2', 'G4', 'G2', 'E3', 'G2', 'G2', 'G2', 'G2', 'G2', 'C5', 'F4', 'G2', 'D3', 'G2', 'B4', 'G2', 'A4', 'G2', 'G2', 'B4', 'G2', 'E4', 'C5', 'C2', 'C3', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'C2', 'B4', 'C5', 'D5', 'D5', '7', 'D5', 'C5', 'B4', 'E-5', '7', 'D5', 'C5', 'G4', 'C5', 'C4', 'D5', 'D4', 'E-5', 'E-4', 'D5', 'D4', 'C5', 'C4', 'G4', '4.7', '5.11', '2.7', '0.4', '7.0', 'B3', 'C4', 'D4', '7', 'D4', 'D4', 'C4', 'D4', 'E-4', '7', 'D4', 'C4', 'G3', 'E-5', 'C4', 'F5', 'D4', 'G5', 'E-4', 'E-5', 'B4', 'D4', 'C5', 'C4', 'G4', '4.7', '5.11', '2.7', '0.4', '7.0', 'G4', '4.7', '5.11', '2.7', '0.4', '7.0', 'G3', '4.7', '5.11', '2.7', '0.4', '7.0', '0.4.7', '7.0', '0.4.7', '7.0'])\n",
            " list([])\n",
            " list(['D5', 'B-2', 'D4', 'D5', '5.10', 'D5', 'D4', 'B-4', 'D3', 'F4', 'B-4', '5.10', 'F4', 'A4', 'C3', 'E-4', 'A4', '5.9', 'A4', 'E-4', 'A4', 'E-5', 'F2', 'C4', '5.9', 'C4', 'D5', 'B-2', 'D4', 'D5', '5.10', 'D5', 'D4', 'D5', 'E-2', 'G4', 'C4', 'G4', '3.7.10', 'C4', 'C5', 'E2', 'B4', 'C4', 'C5', 'B4', 'C5', 'D5', 'C4', 'C5', 'F4', 'F2', 'C4', 'F3', 'A3', 'D4', 'B-3', 'E-4', 'C4', '2', 'B-2', 'D4', '2', '5.10', '2', 'D4', '10', 'D3', 'F4', '10', '5.10', 'F4', '9', 'C3', 'E-4', '9', '5.9', '9', 'E-4', 'A5', '3', 'F2', 'C4', '5.9', 'C4', '2', 'B-2', 'D4', '2', '5.10', '2', 'D4', '7', 'E2', 'C#4', 'G5', 'G6', 'B-5', 'C#4', 'C6', 'B-5', 'B-3', '0.5', 'A5', 'A3', 'G5', 'G3', 'A5', 'A3', '3.5.9', '0.5', '10.2', 'B-2', 'B-3', '2.5', 'B-3', 'D5', 'B-2', 'D4', 'D5', '5.10', 'D5', 'D4', 'B-4', 'D3', 'F4', 'B-4', '5.10', 'F4', 'A4', 'C3', 'E-4', 'A4', '5.9', 'A4', 'E-4', 'A4', 'E-5', 'F2', 'C4', '5.9', 'C4', 'D5', 'B-2', 'D4', 'D5', '5.10', 'D5', 'D4', 'D5', 'E-2', 'G4', 'C4', 'G4', '3.7.10', 'C4', 'C5', 'E2', 'B4', 'C4', 'C5', 'B4', 'C5', 'D5', 'C4', 'C5', 'F4', 'F2', 'C4', 'F3', 'A3', 'D4', 'B-3', 'E-4', 'C4', '2', 'B-2', 'D4', '2', '5.10', '2', 'D4', '10', 'D3', 'F4', '10', '5.10', 'F4', '9', 'C3', 'E-4', '9', '5.9', '9', 'E-4', 'A5', '3', 'F2', 'C4', '5.9', 'C4', '2', 'B-2', 'D4', '2', '5.10', '2', 'D4', '7', 'E2', 'C#4', 'G5', 'G6', 'B-5', 'C#4', 'C6', 'B-5', '0.5', 'B-3', 'A5', 'A3', 'G5', 'G3', 'A5', 'A3', '3.5.9', '0.5', '10.2', 'B-2', 'B-3', '2.5', 'B-3', '2.6.9', '2', 'D4', '2.6.9', '6.9', '2.6.9', 'D4', '7.10.2', 'G2', 'B-3', '7.10.2', '2.7', 'B-3', '2.7', 'B-4', 'G2', 'B-3', 'C5', 'B-4', '9.2', '2.7', '2.7', 'B-3', '4.7', 'C5', 'C2', 'G3', '0.4', 'B-4', 'G3', '5.9.0', 'F2', 'A3', '5.9.0', '0.5', '5.9.0', 'A3', '2.5.7', 'B-1', 'G3', '2.5.7', '2.5', 'G3', 'G4', 'C4', 'E4', 'C2', 'A4', 'C3', 'G3', 'B-4', '5.9', 'A3', '4.7', 'B-3', 'F4', 'F2', 'C4', 'F3', 'A3', 'D4', 'B-3', 'E-4', 'C4', '2', 'B-2', 'D4', '2', '5.10', '2', 'D4', '10', 'D3', 'F4', '10', 'F4', 'B-5', 'C3', 'E-4', 'C6', 'B-5', 'A5', '7.10', 'B-5', '0.2', 'C6', 'E-4', 'B-5', '7', 'E3', 'G4', '10.1', 'G4', 'G2', 'C4', '7.10', 'C4', '10.2.5', 'F2', 'D4', '10.2.5', '5.10', 'D4', 'C5', 'B-4', 'F2', 'A4', 'C4', 'G4', 'A4', 'F3', '3.5.9', 'C4', '10.2', 'B-2', 'B-3', '2.5', 'B-3', '2.6.9', '2', 'D4', '2.6.9', '6.9', '2.6.9', 'D4', '7.10.2', 'G2', 'B-3', '7.10.2', '2.7', 'B-3', 'B-4', '2.7', 'G2', 'B-3', 'C5', 'B-4', '9.2', '2.7', '2.7', 'B-3', '4.7', 'C5', 'C2', 'G3', '0.4', 'B-4', 'G3', '5.9.0', 'F2', 'A3', '5.9.0', '0.5', '5.9.0', 'A3', '2.5.7', 'B-1', 'G3', '2.5.7', '2.5', 'G3', 'C4', 'E4', 'G4', 'C2', 'A4', 'G3', 'C3', 'B-4', '5.9', 'A3', '4.7', 'B-3', 'F4', 'F2', 'C4', 'F3', 'A3', 'D4', 'B-3', 'E-4', 'C4', '2', 'B-2', 'D4', '2', '5.10', '2', 'D4', '10', 'D3', 'F4', '10', 'F4', 'B-5', 'C3', 'E-4', 'C6', 'B-5', 'A5', '7.10', 'B-5', '0.2', 'C6', 'E-4', 'B-5', '7', 'E3', 'G4', '10.1', 'G4', 'G2', 'C4', '7.10', 'C4', '10.2.5', 'F2', 'D4', '10.2.5', '5.10', 'D4', 'B-4', 'C5', 'F2', 'A4', 'C4', 'G4', 'A4', 'F3', '3.5.9', 'C4', '10.2', 'B-2', 'B-3', '2.5', 'B-3', 'C5', 'B-4', 'F2', 'A4', 'C4', 'G4', 'A4', 'F3', '3.5.9', 'C4', '10.2', 'B-2', 'B-3', 'F3', 'B-3', 'D3', 'C4', 'B-3', 'A3', 'C3', 'G3', 'A3', 'F2', '3.5.9', 'C3', '10.2', '5.10', 'D5', 'B-2', 'D4', 'F4', 'F3', 'D5', 'D5', 'D4', 'F4', 'F3', 'D5', 'C5', 'D3', 'D4', 'F4', 'F3', 'B-4', 'B-4', 'D4', 'F4', 'F3', 'C5', 'B-4', 'C3', 'E-4', 'F4', 'F3', 'A4', 'C5', 'F4', 'A4', 'F3', 'D5', 'E-5', 'F2', 'A4', 'C5', 'F3', 'F#5', 'G5', 'A4', 'C5', 'F3', 'E-5', 'D5', 'D3', 'F#4', 'A4', 'A3', 'E-5', 'D5', 'F#4', 'A4', 'A3', 'C5', 'C5', 'D3', 'F4', 'G#4', 'G#3', 'C5', 'B4', 'F4', 'G#4', 'G#3', 'B4', 'B4', 'E-3', 'E-4', 'G4', 'G3', 'C5', 'E-5', 'E-4', 'F#4', 'F#3', 'C5', 'B-4', 'F2', 'D4', 'F4', 'F3', 'B-4', 'A4', 'C4', 'F4', 'F3', 'A4', 'D5', 'B-2', 'D4', 'F4', 'F3', 'D5', 'D5', 'D4', 'F4', 'F3', 'D5', 'C5', 'D3', 'D4', 'F4', 'F3', 'B-4', 'B-4', 'D4', 'F4', 'F3', 'C5', 'B-4', 'C3', 'E-4', 'F4', 'F3', 'A4', 'C5', 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'5.8', '0', 'F2', '5.9', '6.9', 'F#2', '3.6', '6.9', 'F2', '5.9', '5.9', '3.9', '1.5', 'F2', '10', '5.10', '1.5', '6.10', 'F#2', '1.6', '6.10', '1.5', 'F2', '10.1', '5.10', '1.5', '10.1', '5.10', '1.5', '10', '1.5', '1.5', '1.5', '1.5', '1.5', '0.5', '8', '0.5', '0.5', '0.5', '0.5', '0.5', '8.11', '2', '5.8', '8.11', '5.8', '8.11', '5.11', '5.8', '8.11', '5.8', '5.11', '8.11', '5.8', '7.10', '4', '1.7', '7.10', '1.7', '7.10', '1.7', '5.9', '5', '0.5', '5.9', '0.5', '5.9', '0.5', '5.8', '11', '2.5', '5.8', '2.5', '5.8', '2.5', '2.7', '2.7', '2.7', '2.5', '2.8', '2.5', '0.5', '0', '8.0', '0.5', '8.0', '0.5', '8.0', '0.5', '7.0', '0.5', '7.0', '0.4', '4.8', '5.8', '10', '1.5', '5.8', '1.5', '5.8', '1.5', '5.7', '1.5', '5.7', '2.5', '11', '2.7', '2.5', '0.5', '0', '8.0', '0.5', '8.0', '0.5', '8.0', '0.5', '8.0', '0.5', '8.0', '0.5', '8.0', '0.5', '0', '7.0', '0.5', '7.0', '0.5', '7.0', '0.4', '7.0', '0.4', '7.0', '0.4', '7.0', 'F5', 'F2', 'F4', 'F3', 'F5', 'F2', 'G#5', 'G#2', 'G#4', 'G#3', 'G#5', 'G#2', 'C6', 'C3', 'C5', 'C4', 'C6', 'C3', 'G5', 'G2', 'G4', 'G3', 'G5', 'G2', 'B-5', 'B-2', 'B-4', 'B-3', 'B-5', 'B-2', 'F5', 'F2', 'F4', 'F3', 'F5', 'F2', '5.8', 'C2', 'G#4', 'C3', '5.8', 'C2', '4.7', 'C2', 'G4', 'C3', '4.7', 'C2', 'F5', 'F2', 'F4', 'F3', 'F5', 'F2', '5.8', 'C#2', 'G#4', 'C#3', '5.8', 'C#2', '0.3', 'G#1', 'C5', 'G#2', '0.3', 'G#1', '3.7', 'E-2', 'B-4', 'E-3', '3.7', 'E-2', '10.1.5', 'B-1', 'B-4', 'B-2', '10.1.5', 'B-1', '5.8', 'C#2', 'F4', 'C#3', '5.8', 'C#2', '5.8', 'C2', 'G#4', 'C3', '5.8', 'C2', '4.7', 'C2', 'G4', 'C3', '4.7', 'C2', 'F6', 'F3', 'F5', 'F4', 'F6', 'F3', 'F5', 'F4', '5.8', 'C#3', 'G#5', 'C#4', '5.8', 'C#3', 'G#5', 'C#4', '0.3', 'G#2', 'C6', 'G#3', '0.3', 'G#2', 'C6', 'G#3', '3.7', 'E-3', 'B-5', 'E-4', '3.7', 'E-3', 'B-5', 'E-4', '10.1.5', 'B-2', 'B-5', 'B-3', '10.1.5', 'B-2', 'B-5', 'B-3', '5.8', 'C#3', 'F5', 'C#4', '5.8', 'C#3', 'F5', 'C#4', '5.8', 'C3', 'G#5', 'C4', '5.8', 'C3', 'G#5', 'C4', '4.7', 'C3', 'G5', 'C4', '4.7', 'C3', 'G5', 'C4', '5.8', 'C3', 'G#5', 'C4', '5.8', 'C3', 'G#5', 'C4', '0.4.7', 'C3', 'C6', 'C4', '0.4.7', 'C3', 'C6', 'C4', '5.8.0', 'C3', 'C6', 'C4', '5.8.0', 'C3', 'C6', 'C4', '0.4.7', 'C3', 'E6', 'C4', '0.4.7', 'C3', 'E6', 'C4', 'F6', 'G#6', 'C7', '5.8.0', 'E-7', 'C#7', '5.8.0', 'C7', 'B-6', '5.8.0', 'G#6', 'G6', 'F6', 'E-6', 'C#6', 'C6', 'B-5', 'G#5', 'G5', 'F5', 'E-5', 'C#5', 'C5', 'B-4', 'G#4', 'G4', 'F4', 'E-4', 'C#4', 'C4', 'B-3', 'G#3', 'G3', 'F3', 'E-3', 'C#3', 'C3', 'B-2', 'G#2', 'G2', 'F2', 'E-2', 'C#2', 'C2', 'B-1', 'G#1', 'G1'])\n",
            " list(['1.4', '4.9', '2.6', '6.9', '0.3', '3.9', '1.4', '4.9', '1.4', 'A4', '4.9', 'A3', 'B4', 'B3', '1.5', '5.9', '2.6', 'C#5', '2.6', 'B-3', 'B4', 'B3', 'D4', 'A4', '2.6', 'G#4', '4.8', '2.6', '6.9', '2.4', '4.8', '2.4', '4.8', 'E4', 'F#4', 'G#4', '2.6', '6.8', '2.4', '4.8', '2.6', 'A2', 'F#3', '1.4', 'E3', '9.1', '9.1', '2.6', '6.9', '0.3', '3.9', '1.4', '4.9', '4.9', 'C#4', 'C#5', 'A3', '9.1.4', '4.9', '1.4.8', '4.8', '4.8', '8.1', '3.6.8', '8.0', '6.8', '3.8', '1.4.8', '8.1', '1.4', '4.9', '11.2.4', '4.8', '2.4', '11.4', '9.1', '4.9', '1.4', '4.9', '2.6', '6.9', '0.3', '3.9', '1.4', '4.9', '1.4', 'A4', '4.9', 'A3', 'B4', 'B3', '1.5', '5.9', '2.6', 'C#5', '2.6', 'B-3', 'B4', 'B3', 'D4', 'A4', '2.6', 'G#4', '4.8', '2.6', '6.9', '2.4', '4.8', '2.4', '4.8', 'E4', 'F#4', 'G#4', '2.6', '6.8', '2.4', '4.8', '2.6', 'A2', 'F#3', '1.4', 'E3', '9.1', '9.1', '2.6', '6.9', '0.3', '3.9', '1.4', '4.9', '4.9', 'C#4', 'C#5', 'A3', '9.1.4', '4.9', '1.4.8', '4.8', '4.8', '8.1', '3.6.8', '8.0', '6.8', '3.8', '1.4.8', '8.1', '1.4', '4.9', '11.2.4', '4.8', '2.4', '11.4', '9.1', '6.9', '7.10.1', '4.7', '7.11.2', '2.7', '1.4.7.10', '1.7', '7.11.2', '7.11', '11.2', '2.7', '2.7', '5.7', '11.2', 'G3', '0.4', '7.0', '11.2', '7', '0.4', '7.0', '5.11', '2.7', '0.4', '7.0', '11.2', '7', '0.4', '7.0', '5.11', '2.7', '0.4', '7.0', '11.2', '7', '0.4', '7.0', 'G4', '5.11', '2.7', '0.4', '7.0', '2.4', '4.8.11', '4.8.11', '2.4.8', '4.8.11', '9.1', '9.1.4', '9.1.4', '9.1.4', '2.4.8', 'C#5', '4', 'B4', '9.1.4', '4.9', 'E4', 'E3', 'C#4', 'C#3', 'A3', 'A2', 'A3', 'A2', 'E4', 'E3', 'E4', 'E3', 'C#4', 'C#3', 'B-3', 'B-2', 'B-3', 'B-2', 'E4', 'E3', 'E4', 'E3', 'D4', 'D3', 'B3', 'B2', 'B3', 'B2', 'F#4', 'F#3', '6.10.1', '6.11', '2.6', '1.6', '6.10', '2.6', '6.11', '11.2', '2.5', '11.2', 'A5', '4', 'G#5', 'E4', 'E3', 'B3', 'B2', 'G#3', 'G#2', 'G#3', 'G#2', 'E4', 'E3', 'E4', 'E3', 'C4', 'C3', 'A3', 'A2', 'A3', 'A2', 'E4', 'E3', 'E4', 'E3', 'C#4', 'C#3', 'B-3', 'B-2', 'B-3', 'B-2', 'F4', 'F3', 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'2.6.9', '9.1.4', '9.1.4', '9.1.4', '9', '2.6.9', '2', '6', '9.1.4', '9', '9.1.4', '4.9', '9.1.4', '4.9', '9.1.4', '4.9', '9.1.4', '4.9', '9.1.4', '1', '9.1.4', '11', '9', '1.4.8', '8', '1.4.8', '8.1', '1.4.8', '8.1', '1.4.8', '8.1', '1.4.8', '8.1', '4.8', '8.1', '3.6.8', '8.0', '6.8', '3.8', '1.4.8', '8.1', '1.4.8', '1.4.8', '1.4.8', '1.4.8', '1.4.8', '1.4.8', '1.4.8', '1.4.8', '1.4', '4.9', '11.2.4', '4.8', '2.4', '11.4', '9.1', '6.9', '6.9.1', '1.6', '6.9.1', '1.6', '6.9.1', '1.6', '6.9.1', '1.6', '4', '8.11.2', '2', '1', '7.11.2', '11', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '2.6.9', '2.6', '2.6.9', '2.6.9', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '2.6.9', '2.6', '2.6.9', '2.6.9', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '11', '7.11.2', '11', '7.11.2', '11', '7.11.2', '11', '7.11.2', '11', '2.5.7', '11', '2.5.7', '11', '2.8', 'E4', '11.2.4', 'E4', 'F#4', 'G#4', 'F#4', 'E4', '2.8', 'E4', '11.2.4', 'E4', 'F#4', 'G#4', 'F#4', 'E4', 'C#4', 'E4', '9.1.4', 'A4', 'E-4', 'G#4', 'A4', '9.1.4', '9.1.4', '2.4.8', 'C#5', '4', 'B4', '9.1.4', '4.9', '9.1.4', '9.1.4', '9.1.4', '9.1.4', 'A2', 'B2', 'G#2', 'A2', '7.9.1', '7.9.1', '7.9.1', '7.9.1', 'G3', 'E3', 'C#3', 'A2', '2.6.9', '2.6.9', '2.6.9', '2.6.9', 'A2', 'B2', 'G#2', 'A2', 'F3', 'D3', 'B2', 'A2', '9.1.4', '9.1.4', '9.1.4', '9.1.4', 'A1', 'B1', 'G#1', 'A1', '1.4.7.10', '1.4.7.10', '1.4.7.10', '1.4.7.10', 'C#2', 'E2', 'G2', 'B-2', 'A1', '2.6.9', '2.6.9', '2.6.9', '2.6.9', 'A1', 'B1', 'G#1', 'A1', 'F2', 'E2', '2.4', '2.4', 'D2', 'E2', 'D2', 'C#2', 'B1', 'A1', '9.1.4', '9.1.4', '9.1.4', 'C#2', '9.1.4', '9.1.4', 'E2', '9.1.4', '9.1.4', '9.1.4'])\n",
            " list(['G4', 'G3', 'A4', 'A3', 'G4', 'G3', 'E4', 'E3', 'C4', 'C3', 'G4', 'G3', 'E5', 'E4', 'E5', 'E4', 'C5', 'C4', 'G4', 'F4', 'E4', 'C4', 'G3', 'C4', 'E4', 'G4', '4.7', 'G2', '2.5.7', 'A2', 'B2', '0.4.7', 'C3', '7.11.2', 'G2', '0.4.7', 'C3', '3.7', 'G2', '2.5.7', 'A2', 'B2', '0.3.7', 'C3', '7.11.2', 'G2', '0.3.7', 'C3', '10.2.5', 'B-2', '10.2.5', 'B-2', '3.7.10', 'E-3', '3.7.10', 'E-3', '2.6.9', 'D3', '2.6.9', 'D3', '7.10.2', 'G3', '7.10.2', 'G3', '7.11.2', '5.7', '7.11.2', '5.7', '5.11', '2.7', '0.4', '7.0', 'G4', 'G3', 'A4', 'A3', 'G4', 'G3', 'E4', 'E3', 'C4', 'C3', 'G4', 'G3', 'E5', 'E4', 'E5', 'E4', 'C5', 'C4', 'G4', 'F4', 'E4', 'C4', 'G3', 'C4', 'E4', 'G4', '4.7', 'G2', '2.5.7', 'A2', 'B2', '0.4.7', 'C3', '7.11.2', 'G2', '0.4.7', 'C3', '3.7', 'G2', '2.5.7', 'A2', 'B2', '0.3.7', 'C3', '7.11.2', 'G2', '0.3.7', 'C3', '10.2.5', 'B-2', '10.2.5', 'B-2', '3.7.10', 'E-3', '3.7.10', 'E-3', '2.6.9', 'D3', '2.6.9', 'D3', '7.10.2', 'G3', '7.10.2', 'G3', '7.11.2', '5.7', '7.11.2', '5.7', '5.11', '2.7', '0.4', '7.0', 'E5', 'F5', 'E5', 'C5', 'A4', 'D5', 'C5', 'A4', 'E4', 'E4', '9.0', 'E3', '8.11', 'F3', '4.8.11', 'E3', 'B2', 'E2', '4.8.11', 'E3', '4.7', 'C5', 'E3', 'B4', 'F3', '4.7.11', 'E3', 'G3', '0.4.7', 'C4', 'G4', 'B4', '2.5', 'F5', 'E5', '0.4', 'D5', 'C5', '2.6', 'B4', '2.6', 'A4', 'B4', '2.7', 'B4', 'B3', 'C5', 'C4', 'B4', 'B3', 'G4', 'G3', 'E4', 'E3', 'G5', 'G4', 'E5', 'E4', 'B4', 'B3', 'C5', 'C4', 'B4', 'B3', 'G4', 'G3', 'E4', 'E3', 'G5', 'G4', 'E5', 'E4', '11.3.6', 'B2', 'B4', 'B3', 'A5', 'E-4', 'G5', 'E4', 'F#5', 'F#4', 'E5', 'G4', '11.3.6', 'B2', 'B4', 'B3', 'A5', 'E-4', 'G5', 'E4', 'F#5', 'F#4', 'E5', 'G4', '11.3.6', 'B2', 'B4', 'B3', 'B6', 'B1', 'B5', 'B2', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', '4.7', 'G3', 'G4', 'A3', '4.7', 'G3', 'E3', 'G4', 'C3', '4.7', 'G3', 'G4', 'E4', '4.7', 'E4', 'G4', '4.7', 'G4', '4.7', 'C4', 'G4', 'G4', 'A4', 'G4', 'E4', 'C4', 'G4', 'E5', 'E5', 'G3', 'A3', 'G3', 'E3', 'C3', 'C5', 'G3', 'E4', 'G5', 'E4', 'F5', 'E5', 'C5', 'G4', 'C5', 'C4', 'E5', 'G5', '4.7', 'G2', '2.5.7', 'A2', 'B2', '0.4.7', 'C3', '7.11.2', 'G2', '0.4.7', 'C3', 'G4', '3.7', 'A4', '2.5.7', 'B4', 'C5', '0.3.7', 'G4', '7.11.2', 'C5', '0.3.7', '10', '10.2.5', '10', '5.8.10', '3', '3.7.10', '3', '3.7.10', '2', '2.6.9', '2', '9.0.2', '7', '7.10.2', '7', '7.10.2', '5', '7.11.2', '5', '7.11.2', '11', '5.7', '0', '0.4.7', 'E5', 'F5', 'E5', 'C5', 'A4', 'D5', 'C5', 'A4', 'E4', 'E4', '9.0', 'E3', '8.11', 'F3', '4.8.11', 'E3', 'B2', 'E2', '4.8.11', 'E3', '4.7', 'C5', 'E3', 'B4', 'F3', '4.7.11', 'E3', 'G3', '0.4.7', 'C4', 'G4', 'B4', '2.5', 'F5', 'E5', '0.4', 'D5', 'C5', '2.6', 'B4', '2.6', 'A4', 'B4', '2.7', 'B4', 'B3', 'C5', 'C4', 'B4', 'B3', 'G4', 'G3', 'E4', 'E3', 'G5', 'G4', 'E5', 'E4', 'B4', 'B3', 'C5', 'C4', 'B4', 'B3', 'G4', 'G3', 'E4', 'E3', 'G5', 'G4', 'E5', 'E4', '11.3.6', 'B2', 'B4', 'B3', 'A5', 'E-4', 'G5', 'E4', 'F#5', 'F#4', 'E5', 'G4', '11.3.6', 'B2', 'B4', 'B3', 'A5', 'E-4', 'G5', 'E4', 'F#5', 'F#4', 'E5', 'G4', '11.3.6', 'B2', 'B4', 'B3', 'B6', 'B1', 'B5', 'B2', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', 'G5', 'E4', 'E5', 'G4', '4.7', 'G3', 'G4', 'A3', '4.7', 'G3', 'E3', 'G4', 'C3', '4.7', 'G3', 'G4', 'E4', '4.7', 'E4', 'G4', '4.7', 'G4', '4.7', 'C4', 'G4', 'G4', 'A4', 'G4', 'E4', 'C4', 'G4', 'E5', 'E5', 'G3', 'A3', 'G3', 'E3', 'C3', 'C5', 'G3', 'E4', 'G5', 'E4', 'F5', 'E5', 'C5', 'G4', 'C5', 'C4', 'E5', 'G5', '4.7', 'G2', '2.5.7', 'A2', 'B2', '0.4.7', 'C3', '7.11.2', 'G2', '0.4.7', 'C3', 'G4', '3.7', 'A4', '2.5.7', 'B4', 'C5', '0.3.7', 'G4', '7.11.2', 'C5', '0.3.7', '10', '10.2.5', '10', '5.8.10', '3', '3.7.10', '3', '3.7.10', '2', '2.6.9', '2', '9.0.2', '7', '7.10.2', '7', '7.10.2', '5', '7.11.2', '5', '7.11.2', '11', '5.7', '0', '0.4.7', 'G4', 'B2', 'G2', 'D4', 'D3', 'B3', 'G3', 'G4', 'B2', 'D4', 'D3', 'B3', 'G3', 'F#4', 'A2', 'D4', 'D3', 'A3', 'F#3', 'A4', 'C3', 'G2', 'D4', 'D3', 'C4', 'A3', 'A4', 'C3', 'D4', 'D3', 'C4', 'A3', 'G4', 'B2', 'D4', 'D3', 'B3', 'G3', 'G4', 'B2', 'D4', 'D3', 'B3', 'G3', '2.6.9', '2.6.9', '7.11.2', '7.11.2', '9.0.2', '9.0.2', '7.11.2', '7.11.2', '7.11.2', '7.11.2', '2.6.9', '2.6.9', '2.6.9', '2.6.9', 'D5', 'G4', 'B2', 'G2', 'D4', 'D3', 'B4', 'G3', 'G4', 'B2', 'D4', 'D3', 'B4', 'G3', 'F#4', 'A2', 'D4', 'D3', 'A4', 'F#3', 'D5', 'A4', 'C3', 'G2', 'D4', 'D3', 'C5', 'A3', 'A4', 'C3', 'D4', 'D3', 'C5', 'A3', 'G4', 'B2', 'D4', 'D3', 'B4', 'G3', 'D4', '7.11.2', 'D5', '4', '0.4.7', '6', '7', '7.11', '7.11.2', '7.11.2', '11.2', '11.2', '0.2.6', '9.0.2', '7.11.2', '7.11', '7.11.2', '7.11', 'G4', 'B2', 'G2', 'D4', 'D3', 'B3', 'G3', 'G4', 'B2', 'D4', 'D3', 'B3', 'G3', 'F#4', 'A2', 'D4', 'D3', 'A3', 'F#3', 'A4', 'C3', 'G2', 'D4', 'D3', 'C4', 'A3', 'A4', 'C3', 'D4', 'D3', 'C4', 'A3', 'G4', 'B2', 'D4', 'D3', 'B3', 'G3', 'G4', 'B2', 'D4', 'D3', 'B3', 'G3', '2.6.9', '2.6.9', '7.11.2', 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            " list([]) list([])\n",
            " list(['8.0.3', 'G#3', '5.8', 'C5', 'C#4', 'B-4', '1.5', 'F5', '8.0', 'C4', 'F4', 'E-5', 'E-4', 'C4', 'E-4', 'G#3', 'G#4', 'E-3', 'C5', 'C3', '1.3.7', '3.7.10', '8.0.3', '3.8', '10.3', '3.7', '5.10', '2.8', 'B-4', '10.3', '3.7', '8.0.3', 'G#3', 'C5', '5.8', 'C#4', 'B-4', '1', '7.0', 'F5', '0', 'E5', '0.4.7', '0.4', '1.3.7', '10.3', '8.0.3', '3.8', '10.1.5', 'C#3', '1.7', 'C5', 'E-3', 'B-4', '7.10.1', '3.8', '8.0', '8.11.2', '4.8.11', 'D4', '8.11', 'E3', '8.11', 'E-4', 'E-3', '4.8.11', '8.11.1', 'E4', '8.11', 'C#3', '8.11', 'E-4', 'B2', '8.11.3', '8.11', 'B-4', '4.8', 'C#3', 'E5', 'B-4', 'E-5', 'B-2', 'C#5', 'B4', 'B2', '10.1.4', 'C#3', 'E-4', '8.11', 'E-3', '7.10', '8.11.2', '4.8.11', 'D4', '8.11', 'E3', '8.11', 'E-4', 'E-3', '4.8.11', '8.11.1', 'E4', '8.11', 'C#3', '8.11', 'E-4', 'B2', '4.8.11', '4.8.11', 'B4', 'E4', 'G#4', '4.8.11', 'E5', 'B4', 'B4', 'E-5', '4.8.11', 'C#5', 'B4', 'G#4', 'F4', 'C#4', '5.8.11', 'C#5', 'F4', '1.6', 'C#5', 'B2', '6.9', 'A4', '4.8', '8.11', 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'E-5', 'E-4', 'C4', 'E-4', 'G#3', 'G#4', 'E-3', 'C5', 'C3', '1.3.7', '3.7.10', '8.0.3', '3.8', '10.3', '3.7', '5.10', '2.8', 'B-4', '10.3', '3.7', '8.0.3', '8', '4.8', 'C5', '1', 'B4', 'B-4', '8.0.3', '8', '4.8', 'C5', '1', 'B4', 'B-4', '4.8.11', '2', '4.8.11', '2', '4.8.11', '2', '4.8.11', '2', '9.1.4', '1', '11.2.4', '11', '1.4', '9', '11.2.4', '11', '9.1.4', '1', 'E-4', '8.11', '3', '7.10', '9.1.4', '11.2.4', 'F#4', '9.1.4', '11.2.4', '9.1.4', 'E-3', '8.11', '3.7.10', '8'])\n",
            " list(['8.0', '5', 'F3', '5.8.0', 'F3', '5.8.0', '5', '8.0', 'F3', '8.0', 'F3', '10.1.5', '5', '10.1', 'F3', '10.1', 'F3', '5.8.0', '5', '8.0', 'F3', '8.0', 'F3', '8.0', '5', 'F2', '5.8.0', 'F2', '5.8.0', '5', '8.0', 'F2', '8.0', 'F2', '10.1.5', '5', '10.1', 'F2', '10.1', 'F2', '5.8.0', '5', '8.0', 'F2', '8.0', 'F2', '5.8.11', 'F3', '8.11.2', 'D3', '8.11.2', 'D3', '0.3.7', 'E-3', '7.0', 'C3', '7.0', 'C3', '2.7', 'B2', '7.11.2', 'G2', '7.11.2', 'G2', '3.7', 'C3', '0.3.7', 'G2', '0.3.7', 'G2', '5.7', 'D3', '7', 'G2', '7', 'G2', 'E-3', '7', 'G2', '7', 'G2', '7', 'E-3', '5.8', '1', '5.8', '1', '5.8', '1', '5.8', '1', '8.1', '5', '8.1', '5.8', '8.1', '5.8', '8.1', '5.8', '0.3', '6.8', '0.3', '6.8', '0.3', '6.8', '1', '1.5.8', '5.8.11', '1', '5.8.0', '0', '0.4.7', '0', '8.0', '5', 'F3', '5.8.0', 'F3', '5.8.0', '5', '8.0', 'F3', '8.0', 'F3', '10.1.5', '5', '10.1', 'F3', '10.1', 'F3', '5.8.0', '5', '8.0', 'F3', '8.0', 'F3', '8.0', '5', 'F2', '5.8.0', 'F2', '5.8.0', '5', '8.0', 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'G4', '8.0', '5', 'F3', '5.8.0', 'F3', '5.8.0', '5', '8.0', 'F3', '8.0', 'F3', '10.1.5', '5', '10.1', 'F3', '10.1', 'F3', '5.8.0', '5', '8.0', 'F3', '8.0', 'F3', '8.0', '5', 'F2', '5.8.0', 'F2', '5.8.0', '5', '8.0', 'F2', '8.0', 'F2', '10.1.5', '5', '10.1', 'F2', '10.1', 'F2', '5.8.0', '5', '8.0', 'F2', '8.0', 'F2', '10.1.4', 'B-3', '1.4.7', 'G3', '1.4.7', 'G3', '5.8.0', 'G#3', '0.5', 'F3', '0.5', 'F3', '7.0', 'E3', '0.4.7', 'C3', '0.4.7', 'C3', '8.0', 'F3', '5.8.0', 'C3', '5.8.0', 'C3', 'G3', '0', 'C3', '0', 'C3', 'G#3', '0', 'C3', '0', 'C3', '0', 'G#3', '10.1', '6', '10.1', '6', '10.1', '6', '10.1', '6', '1.6', '10', '1.6', '10.1', '1.6', '10.1', '1.6', '10.1', '5.8', '5.8', '5.8', '6', '6.10.1', '5.8.11', '1', '5.8.0', '0', '0.4.7', '0', '5', '5', 'F4', 'F3', 'G4', 'G3', 'A4', 'A3', 'B-4', 'B-3', 'C5', 'C4', '0.2', '9.0', '4.10', '7.0', '4.10', '7.0', '4.10', '7.0', '5.9', '0.5', '5.9', '0.5', '9.0', '0.2', '7.10', '0.4', '7.10', '0.4', '9.0', '5', '5.9.0', '0.5', 'C5', '9.0', 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            " list(['9.0', '0.5', 'F4', 'F3', 'A4', 'A3', '2', '0', 'G4', '0.4.7', '10', '7', '9', '5.9', '9.2', '7.10.0', '0.4', '5.9.0', '0.5', 'C4', 'C3', 'C#4', 'C4', 'C#3', 'C3', 'B3', 'B2', 'C4', 'C#4', 'C3', 'C#3', 'C4', 'C3', '9.0', '0.5', 'F4', 'F3', 'A4', 'A3', '9.2', '2.5.9', '9.2', '2.5.9', '5', '9', '10.1', '4.7.9', '10.1', '4.7.9', '9.0', '5.9', '7.10', 'C5', 'E4', 'C4', '5.9', '5', 'C4', 'C3', 'C#4', 'C4', 'C#3', 'C3', 'B3', 'B2', 'C4', 'C#4', 'C3', 'C#3', 'C4', 'C3', 'G3', 'C4', '0.4', 'E4', 'E3', 'G4', 'G3', '10.1', '1.4.7', '10.2', 'F2', 'D3', 'F4', 'F3', 'B-4', 'B-3', '10.2.5', '10.2', '3.6', 'D3', '9.0', '2.5', 'B-3', '0.5', '9', '1.4', '7.10', 'A2', '0.5', 'A3', '5.9', '0.5', '0', 'G4', '0.4.7', '10', '7', '9', '5.9', '9.2', 'C2', 'C3', '5.9', 'F2', 'C4', 'C3', 'C#4', 'C4', 'C#3', 'C3', 'B3', 'B2', 'C4', 'C#4', 'C3', 'C#3', 'C4', 'C3', '0', 'G5', '0.4.7', '10', '7', '9', '5.9', '9.2', '4.7', 'C4', '5', '5.9', 'C5', 'C4', 'C#5', 'C5', 'C#4', 'C4', 'B4', 'B3', 'C5', 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'2', 'C2', '0', 'E4', 'B-2', 'G3', '10', '7', '9', '5.9', '9.2', 'C3', 'C2', '5.9', 'F2', '5.9', '0.5', '5.9', '0.5'])\n",
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'D3', 'B4', 'G#3', 'C#5', 'A2', 'C#3', 'A3', 'A2', 'C#3', 'G#3', 'C#5', 'A2', 'C#3', 'A4', 'F#3', 'G#4', 'B2', 'D3', 'F#3', 'D3', 'F#3', 'B3', 'B4', 'C#3', 'A4', 'F3', 'G#4', 'B3', 'C#5', 'A2', 'C#3', 'F#3', 'G#2', 'B2', 'F#3', 'C#5', 'F#5', 'B-2', 'C#3', 'B-4', 'F#3', 'G#4', 'B2', 'E-3', 'F#3', 'C3', 'B-4', 'F#3', 'G#4', 'G#3', 'B4', 'C#3', 'B-4', 'F3', 'G#4', 'B3', 'F#4', '6.10', 'F#2', 'B-2', 'C#3', 'F#3', 'G#3', 'B-3', 'C#4', 'F#3', 'C#5', 'F3', 'G#3', 'C#4', 'C#5', 'F3', 'G#3', 'C#4', 'C#5', 'F3', 'G#3', 'C#4', 'C#5', 'E3', 'G#3', 'C#4', 'C#5', 'E3', 'G#3', 'C#4', 'C#5', 'E3', 'G#3', 'C#4', 'C#5', 'E5', 'E-3', 'G3', 'E-5', 'C#4', 'E-5', 'E-3', 'E-5', 'G3', 'E-5', 'C#4', 'E-5', 'E-3', 'E-5', 'G3', 'E-5', 'C#4', 'E-5', '3.7', 'B-3', 'C4', 'C#4', '8.0', '3.8', '1.7', '10.3', '8.0', '3.8', '1.7', '10.3', '8.0', '3.8', '3', '0.3', '8.0', '3.8', '7.10', '3', '8.0', '3.8', '1.7', '10.3', '8.0', '3.8', '8.0', '3.8', '5', '1.3', '3', 'G#4', '0.3', '3.8', '0.3', '3', '1.7', '10.3', '8.0', '3.8', '8.0', '3.8', '7.10', '3', '8.11', '3.8', '7.10', '3', '7.10', '3', '8.11', '3.8', '7.10', '3', '5.8.11', '2', '8.11', 'F5', 'E-5', '8.11', 'E-5', '3', '7.10', 'E-5', 'F5', '3.8', 'C#4', 'F#4', 'C5', '1.5.8', '0.3', 'G#5', '6', 'B-5', '8.0.3', '6', 'B-5', 'C#5', '5', 'G#5', 'G#5', 'C#5', '4', 'G#5', '8.1', 'C#6', '3', 'C6', 'C6', '7.10.1', '3', '8.0', '3.8', '8.0', 'E-3', 'G#2', 'E-3', 'E-3', '8.0', 'G#2', '8.0', 'G#2', '1.7', 'B-2', '8.0', 'G#2', '1.7', 'B-2', 'E-3', 'E-3', '7.10', 'E-2', '7.10', 'E-2', '8.0', 'G#2', '7.10', 'E-2', '8.0', 'G#2', 'E-3', 'E-3', 'E-4', 'C3', 'E-4', 'C3', 'F4', 'C#3', 'E-4', 'C3', 'F4', 'C#3', 'E-4', 'C3', 'E-4', 'C3', '8.0', 'E-3', '7.10.1', '3', '8.0', '3.8', '8.0', '3.8', 'E-5', 'E-5', '3.8', '0.3', '3.8', '0.3', '5.10', '1.3', '3.8', '0.3', '5.10', '1.3', 'E-5', 'E-5', '1.7', '10.3', '1.7', '10.3', '3.8', '0.3', '5.10', '1.3', '3.8', '0.3', 'E-5', 'E-5', 'E-4', '0.3', 'E-4', '0.3', 'F4', '1.3', 'E-4', '0.3', '5.8', '1.3', 'E-4', '0.3', 'E-4', '0.3', '0.3', '3', '3.7.10', '1.3', '3.8', '8.0.3', '3.8', '8.0.3'])\n",
            " list(['G#4', 'E4', 'C#3', 'C#4', 'E4', 'G#3', 'G#4', 'E4', 'C#3', 'C#4', 'E4', 'A3', 'A4', 'E-4', 'C3', 'C4', 'E-4', 'A3', 'A4', 'E-4', 'C3', 'C4', 'E-4', 'G#3', 'G#4', 'G#4', 'C#3', 'E4', 'G#4', 'G#3', 'E5', 'G#4', 'E3', 'E4', 'G#4', 'G#3', 'C#5', 'A4', 'E-3', 'G#4', 'F#4', 'A3', 'C#5', 'C5', 'E-3', 'F#4', 'G#4', 'G#3', 'C5', 'C#5', 'C#3', 'E4', 'G#4', 'C#4', 'C#5', 'E5', 'C#3', 'G#4', 'E5', 'B3', 'G#5', 'E5', 'F#3', 'A4', 'E5', 'A3', 'G#5', 'D5', 'F#3', 'F#5', 'C#5', 'A3', 'E5', 'C5', 'A2', 'E-5', 'C#5', 'F#3', 'E5', 'E-5', 'G#2', 'F#5', 'C5', 'G#3', 'E-5', 'E5', 'C#3', 'C#5', 'B4', 'E-3', 'A4', 'G#4', 'E3', 'F#4', 'E4', 'G#3', 'E-4', 'E4', 'C#3', 'C#4', 'E4', 'G#3', 'G#4', 'E4', 'C#3', 'C#4', 'E4', 'A3', 'A4', 'E-4', 'B2', 'B3', 'E-4', 'A3', 'A4', 'E-4', 'B2', 'B3', 'E-4', 'G#3', 'G#4', 'G#4', 'E3', 'C#4', 'G#4', 'G#3', 'C#5', 'F#4', 'A2', 'E-4', 'F#4', 'A3', 'C#5', 'G#4', 'G#2', 'E4', 'G#4', 'B3', 'C#5', 'G#4', 'G#3', 'E4', 'G#4', 'B3', 'B4', 'G4', 'C#3', 'E4', 'G4', 'E3', 'B-4', 'E5', 'C3', 'B-4', 'E5', 'B-3', 'G5', 'E-5', 'B2', 'G5', 'E-5', 'B3', 'F#5', 'A4', 'C3', 'E5', 'A4', 'F#3', 'E-5', 'A4', 'C#3', 'F#5', 'G#4', 'E3', 'E5', 'E4', 'A2', 'C#5', 'C#4', 'F#3', 'A4', 'B3', 'B2', 'G#4', 'E4', 'G#3', 'B4', 'B3', 'B2', 'A4', 'E-4', 'A3', 'B4', 'A4', 'B2', 'E-4', 'B3', 'F#3', 'A4', 'G#4', 'E3', 'E4', 'G#4', 'F#3', 'A4', 'B4', 'G#3', 'G#4', 'B4', 'B3', 'G#5', 'B4', 'G#3', 'F#5', 'C5', 'E4', 'E5', 'C#5', 'A3', 'E4', 'C#5', 'A2', 'E5', 'B4', 'B2', 'E-5', 'A4', 'C#3', 'C#5', 'G#4', 'B2', 'B3', 'G#4', 'E3', 'B4', 'E4', 'B2', 'B-3', 'E4', 'G3', 'C#5', 'F#4', 'B2', 'A3', 'F#4', 'E3', 'B4', 'F#4', 'B2', 'A3', 'F#4', 'E-3', 'B4', 'E4', 'E3', 'G#3', 'E4', 'G#4', 'B2', 'E2', 'B2', 'E3', 'E-4', 'A3', 'E-4', 'B4', 'B2', 'E2', 'B2', 'F#3', 'E4', 'G#3', 'E4', 'G#4', 'G#4', 'E3', 'B4', 'G#3', 'E5', 'B3', 'G#5', 'E4', 'G#5', 'E4', 'G#4', 'E5', 'C#4', 'G#4', 'E-5', 'C4', 'G#4', 'D5', 'B3', 'G#4', 'C#5', 'A3', 'C#4', 'A4', 'C#5', 'E3', 'A2', 'E3', 'A3', 'G#4', 'D4', 'G#4', 'E5', 'E3', 'A2', 'E3', 'B3', 'A4', 'C#4', 'A4', 'C#5', 'C#5', 'A3', 'E5', 'C#4', 'A5', 'E4', 'C#6', 'A4', 'C#6', 'A4', 'C#5', 'A5', 'F#4', 'C#5', 'G#5', 'B4', 'E5', 'F#5', 'E-5', '4.8', 'G#4', 'F#4', 'F#3', 'G#3', 'G#4', 'E4', 'E3', 'G#4', 'E-4', 'E-3', 'G#4', 'E4', 'C#3', 'C#4', 'E4', 'C3', 'G#4', 'E4', 'C#3', 'C#4', 'E4', 'E3', 'A4', 'E-4', 'C3', 'C4', 'E-4', 'E-3', 'A4', 'E-4', 'G#3', 'C4', 'E-4', 'C3', 'G#4', 'G#4', 'C#3', 'E4', 'G#4', 'E-3', 'E5', 'G#4', 'E3', 'E4', 'G#4', 'C#3', 'C#5', 'A4', 'E-3', 'G#4', 'F#4', 'A3', 'C#5', 'C5', 'G#3', 'E-4', 'G#4', 'F#3', 'C5', 'C#5', 'E3', 'G#4', 'C#5', 'E-3', 'E5', 'E5', 'C#3', 'G#4', 'E5', 'B2', 'G#5', 'E5', 'A2', 'A4', 'E5', 'F#2', 'G#5', 'G#2', 'D5', 'A2', 'F#5', 'C#5', 'F#2', 'E5', 'C5', 'G#2', 'E-5', 'C#5', 'F#2', 'E5', 'E2', 'E-5', 'E-2', 'F#5', 'C5', 'G#2', 'E-5', 'E5', 'C#2', 'C#5', 'B4', 'G#2', 'A4', 'G#4', 'B-2', 'F#4', 'E4', 'C3', 'E-4', 'E4', 'C#3', 'C#4', 'E4', 'E3', 'G#4', 'E4', 'E-3', 'C#4', 'E4', 'C#3', 'A4', 'E-4', 'B2', 'B3', 'E-4', 'E-3', 'A4', 'E-4', 'G#3', 'B3', 'E-4', 'B2', 'G#4', 'G#4', 'A2', 'C#4', 'G#4', 'C#3', 'C#5', 'F#4', 'B2', 'E-4', 'F#4', 'A2', 'C#5', 'G#4', 'G#2', 'E4', 'G#4', 'B2', 'C#5', 'G#4', 'E3', 'E4', 'G#4', 'G#2', 'B4', 'G4', 'E2', 'E4', 'G4', 'E3', 'B-4', 'E-3', 'E5', 'C#3', 'B-4', 'E5', 'C3', 'G5', 'E-5', 'B2', 'G5', 'E-5', 'F#3', 'F#5', 'A4', 'B3', 'E5', 'A4', 'B2', 'E-5', 'A4', 'C3', 'F#5', 'G#4', 'C#3', 'E5', 'E4', 'G#2', 'C#5', 'C#4', 'A2', 'A4', 'B3', 'B2', 'G#4', 'E4', 'G#3', 'B4', 'B3', 'B2', 'A4', 'E-4', 'A3', 'B4', 'A4', 'B2', 'E-4', 'B3', 'F#3', 'A4', 'G#4', 'E3', 'B3', 'E4', 'C#3', 'F#4', 'E-3', 'G#4', 'E3', 'E4', 'G#4', 'G#3', 'E5', 'G#4', 'F3', 'E-5', 'G#4', 'C#4', 'C#5', 'A4', 'F#3', 'C#4', 'A4', 'F#2', 'C#5', 'G#4', 'G#2', 'B4', 'F#4', 'A2', 'A4', 'E4', 'G#2', 'G#3', 'E4', 'C#3', 'G#4', 'C#4', 'G#2', 'G3', 'C#4', 'E3', 'A4', 'E-4', 'G#2', 'F#3', 'E-4', 'C#3', 'G#4', 'E-4', 'G#2', 'F#3', 'E-4', 'C3', 'G#4', 'C#4', 'C#3', 'E3', 'C#4', 'E4', 'G#2', 'C#2', 'G#2', 'C#3', 'C#4', 'A2', 'E3', 'C#4', 'E4', 'E2', 'A1', 'E2', 'A2', 'D4', 'F#2', 'A3', 'D4', 'F#4', 'F#4', 'D3', 'A4', 'F#3', 'D5', 'A3', 'F#5', 'D4', 'A5', 'F#4', 'D5', 'A4', 'F#5', '2.6', 'B4', 'C#5', 'E5', '4.8', 'G#4', 'C5', 'E-5', '6.8', 'G#4', 'C#5', 'E4', 'C#4', 'E4', 'C#5', 'E5', 'G#3', 'C#3', 'G#3', 'C#4', 'C#5', 'A3', 'E4', 'C#5', 'E5', 'E3', 'A2', 'E3', 'A3', 'D5', 'F#3', 'A4', 'D5', 'A3', 'F#5', 'D4', 'A5', 'F#4', 'F#5', 'D4', 'D5', 'A3', 'A4', 'F#3', 'G#4', 'G#3', 'E5', 'E4', 'G#3', 'C#5', 'F#4', 'G#3', 'E-5', 'E-4', 'G#3', 'C5', 'E4', 'G#3', 'C#5', '1.4', 'G#2', 'G#4', '3.6', 'G#2', 'G#4', '0.3', 'G#2', 'G#4', 'F4', '8.1', 'G#4', '6.10', '8.1', '5.8', '8.1', 'F4', '8.1', 'G#4', '6.10.1', '8.1', '5.8', '8.1', '5.8', '8.0', 'D4', '3.6', '8.0', '3.6', '8.0', '5.8', '8.1', '3.6', '1.5', '8.1', '5.8', '8.1', 'F4', '8.1', 'G#4', '6.10', '8.1', '5.8', '8.1', 'F4', '8.1', 'G#4', '6.10.1', '8.1', '5.8', '8.1', '5.8', '8.0', 'D4', '3.6', '8.0', '3.6', '5.8', '8.0', '3.6', '1.5', 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'E5', 'E3', 'A2', 'E3', 'A3', 'D5', 'F#3', 'A4', 'D5', 'A3', 'F#5', 'D4', 'A5', 'F#4', 'F#5', 'D4', 'D5', 'A3', 'A4', 'F#3', 'G#4', 'G#3', 'E5', 'E4', 'G#3', 'C#5', 'F#4', 'G#3', 'E-5', 'E-4', 'G#3', 'C5', 'E4', 'G#3', 'C#5', '1.4', 'G#2', 'G#4', '3.6', 'G#2', 'G#4', '0.3', 'G#2', 'G#4', 'F4', '8.1', 'G#4', '6.10', '8.1', '5.8', '8.1', 'F4', '8.1', 'G#4', '6.10.1', '8.1', '5.8', '8.1', '5.8', '8.1', 'F#3', 'G#2', 'E-4', 'E-3', 'G#2', 'C4', 'E3', 'G#2', 'C#4', 'G#3', 'G#2', 'E4', 'F#3', 'G#2', 'E-4', 'E-3', 'G#2', 'C4', '1.4.8'])\n",
            " list(['A4', 'A3', 'E5', 'E4', 'E-5', 'E-4', 'E5', 'E4', 'C5', 'C4', 'B4', 'B3', 'A4', 'A3', '4.8.11', 'E3', 'C4', 'C3', 'A3', 'A2', 'A3', 'A2', '5.9', 'D2', '7.10', 'C#2', '5.9', 'D2', 'A3', 'A2', 'B3', 'B2', 'C4', 'C3', '4.8.11', 'E2', '0', 'C2', '9', 'A1', '2.5.9', 'A1', '9.0.4', 'A1', 'A3', '2.5.9', 'D4', 'E4', 'A1', 'F4', 'E4', '9.0.4', 'A3', 'A1', 'G4', 'F4', '2.5.9', 'A3', 'A1', 'F4', 'E4', '9.0.4', 'A3', 'A1', 'A3', 'A4', '2.5.9', '2', '4', 'A2', '5', '4', '9.0.4', '9', 'A2', '4', '4.7.11', '7', '9', 'G2', '11', '11', '3.6', '11', '11.3', '7', '7', '4', '4', '11', '3.6', '11', '11.3', '7', '7', '4', '4', '7', 'E2', '4', 'F2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', '5', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', '2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', '4', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', '0', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', '2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', '11', 'E2', 'F2', 'E2', 'F2', 'E2', 'F2', 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            " list(['F3', '0.5', 'F3', '0.5', 'F3', '0.5', 'F3', '0.5', 'B-4', 'G#4', 'F3', 'G#4', '0.5', 'B-4', 'G#4', 'F3', 'G4', '0.4', 'G#4', 'B-4', '8.0', 'F3', '0.5', 'G#4', 'B-4', '8.0', 'F3', '0.5', 'B-4', 'G#4', 'F3', 'G#4', '0.5', 'B-4', 'G#4', 'F3', '7.0', '0.4', 'C5', '5.8', 'F3', '0.5', 'C5', '5.8', 'F3', '0.5', 'F#5', '5.8', 'C#3', 'G#4', 'F5', '1.5', 'F#5', '5.9', 'C3', '5.9', '0.3.5', 'B-4', 'F5', 'B-2', 'B-5', '10.1.5', '5.8', 'F3', '0.5', '8.0', 'C3', '7.10', '5.8', '0.5', '7.10', 'G#4', 'C5', 'C3', 'C#5', '7.10', 'C5', '0.4', 'E5', '5.8.0', 'F3', '0.5', '5.8.0', 'F3', '0.5', 'B-4', 'G#4', 'F3', 'G#4', '0.5', 'B-4', 'G#4', 'F3', 'G4', '0.4', 'G#4', 'B-4', '8.0', 'F3', '0.5', 'G#4', 'B-4', '8.0', 'F3', '0.5', 'B-4', 'G#4', 'F3', 'G#4', '0.5', 'B-4', 'G#4', 'F3', '7.0', '0.4', 'C5', '5.8', 'F3', '0.5', 'C5', '5.8', 'F3', '0.5', 'F#5', '5.8', 'C#3', 'G#4', 'F5', '1.5', 'F#5', '5.9', 'C3', '5.9', '0.3.5', 'B-4', 'F5', 'B-2', 'B-5', '10.1.5', '5.8', 'F3', '0.5', '8.0', 'C3', '7.10', '5.8', '0.5', '7.10', 'G#4', 'C5', 'C3', 'C#5', '7.10', 'C5', '0.4', 'E5', '5.8.0', 'F3', '0.5', '5.8.0', 'F3', '0.5', 'C5', 'G#3', '8.0.3', 'C5', 'G#3', '8.0.3', 'C5', 'G#3', 'C#5', 'E-5', '3.7.10', 'C#5', 'C#5', 'G#3', '3.7.10', 'C5', 'C5', 'B-4', 'G#3', 'B-4', '1.3.7', 'C5', 'G#3', 'B-4', 'G#4', '1.3.7', 'B-4', 'B-4', 'G#3', '8.0.3', 'C5', 'G#3', '8.0.3', 'E-5', '8.0', 'G#3', '8.0.3', 'E-5', '8.0', 'G#3', '8.0.3', '3.7', 'C#3', '1.5', '0.4', '1.5', '1.5', '1.5', 'C#3', '1.5', '1.7', 'F5', 'E-3', 'E-5', '1.3', 'G4', '10.1.3', 'G#4', 'B-4', 'E-3', 'G#4', '1.3', '10.1.3', 'G4', '8.0.3', 'G#3', '0.3', '8.0.3', 'G#3', '0.3', 'C5', 'G#3', '8.0.3', 'C5', 'G#3', '8.0.3', 'C5', 'G#3', 'C#5', 'E-5', '3.7.10', 'C#5', 'C#5', 'G#3', '3.7.10', 'C5', 'C5', 'B-4', 'G#3', 'B-4', '1.3.7', 'C5', 'G#3', 'B-4', 'G#4', '1.3.7', 'B-4', 'B-4', 'G#3', '8.0.3', 'C5', 'G#3', '8.0.3', 'E-5', '8.0', 'G#3', '8.0.3', 'E-5', '8.0', 'G#3', '8.0.3', '3.7', 'C#3', '1.5', '0.4', '1.5', '1.5', '1.5', 'C#3', '1.5', '1.7', 'F5', 'E-3', 'E-5', '1.3', 'G4', '10.1.3', 'G#4', 'B-4', 'E-3', 'G#4', '1.3', '10.1.3', 'G4', '8.0.3', 'G#3', '0.3', '8.0.3', 'G#3', '0.3', 'C3', '0.4', 'C3', '0.4', 'F5', '8.0', 'C3', '8.0', 'G#5', '0.5', 'G5', 'F5', 'C3', 'E-5', '0.5', 'C#5', '7.10.0', 'C3', '0.4', 'C3', '0.4', 'F5', '8.0', 'C3', '8.0', 'G#5', '0.5', 'G5', 'F5', 'F3', 'E-5', '0.5', 'C#5', '8.0', 'G#2', '8.0', '0.6', 'A2', '0.6', 'C5', 'F4', 'B-2', 'C#5', 'E-5', '5.10', 'C#5', '1.5', 'C#2', '0.3', '1.5', '10.1', '8.0', 'E-2', '8.0', '3.8', '8.0', 'E-2', '10.1', '0.3', '3.7', '10.1', '8.0', 'G#2', '3.8', '8.0', 'G#2', '3.8', 'C3', '0.4', 'C3', '0.4', 'F5', '8.0', 'C3', '8.0', 'G#5', '0.5', 'G5', 'F5', 'C3', 'E-5', '0.5', 'C#5', '7.10.0', 'C3', '0.4', 'C3', '0.4', 'F5', '8.0', 'C3', '8.0', 'G#5', '0.5', 'G5', 'F5', 'F3', 'E-5', '0.5', 'C#5', '8.0', 'G#2', '8.0', '0.6', 'A2', '0.6', 'C5', 'F4', 'B-2', 'C#5', 'E-5', '5.10', 'C#5', '1.5', 'C#2', '0.3', '1.5', '10.1', '8.0', 'E-2', '8.0', '3.8', '8.0', 'E-2', '10.1', '0.3', '3.7', '10.1', '8.0', 'G#2', '3.8', '8.0', 'G#2', '3.8', 'B-4', 'G#4', 'F3', 'G#4', '0.5', 'B-4', 'G#4', 'F3', 'G4', '0.4', 'G#4', 'B-4', '8.0', 'F3', '0.5', 'G#4', 'B-4', '8.0', 'F3', '0.5', 'B-4', 'G#4', 'F3', 'G#4', '0.5', 'B-4', 'G#4', 'F3', '7.0', '0.4', 'C5', '5.8', 'F3', '0.5', 'C5', '5.8', 'F3', '0.5', 'F#5', '5.8', 'C#3', 'G#4', 'F5', '1.5', 'F#5', '5.9', 'C3', '5.9', '0.3.5', 'B-4', 'F5', 'B-2', 'B-5', '10.1.5', '5.8', 'F3', '0.5', '8.0', 'C3', '7.10', '5.8', '0.5', '7.10', 'G#4', 'C5', 'C3', 'C#5', '7.10', 'C5', '0.4', 'E5', '5.8.0', 'F3', '0.5', '5.8.0', 'F3', '0.5', 'G#5', '4.7', 'B-2', 'E5', 'G5', '10.1', 'G#5', 'G5', 'B-2', '4.7', '10.1', 'F5', 'B-5', 'B2', 'G#5', '11.2', 'B2', 'G5', '11.2', 'F5', 'C#5', '8.0', 'C3', 'G#4', 'C5', '0.5', 'C#5', 'C5', 'C3', '0.4', '5.8.0', 'F3', '0.5', '5.8.0', 'F3', '0.5', 'G#5', '4.7', 'B-2', 'E5', 'G5', '10.1', 'G#5', 'G5', 'B-2', '4.7', '10.1', 'F5', 'B-5', 'B2', 'G#5', '11.2', 'B2', 'G5', '11.2', 'F5', 'D5', '9.0', 'C3', 'A4', 'C5', '0.5', 'D5', 'C5', 'C3', '10.2', '0.4', 'D5', '9.0', 'C3', 'A4', 'C5', '0.5', 'D5', 'C5', 'C3', '10.2', '0.4', 'D5', '9.0', 'C3', 'A4', 'C5', '0.5', 'D5', 'C5', 'C3', '4.10', '7.0', '5.9', 'F2', '0.5', '5.9', 'F2', '0.5', 'D5', '9.0', 'F2', 'A4', 'C5', '0.5', 'D5', 'C5', 'F2', '5.9', '0.5', '4.10', 'F2', '7.0', '4.10', 'F2', '7.0', 'C5', '4.10', 'F2', 'B-4', 'E4', '7.0', 'C5', 'B-4', 'F2', '4.10', '7.0', '5.9', 'F2', '0.5', '5.9', 'F2', '0.5', 'D5', '9.0', 'F2', 'A4', 'C5', '0.5', 'D5', 'C5', 'F2', '3.9', '0.6', '4.10', 'F2', '7.0', '4.10', 'F2', '7.0', 'C5', '4.10', 'F2', 'B-4', 'E4', '7.0', 'C5', 'B-4', 'F2', '4.10', '1.7', '5.9', 'F2', '0.5', '5.9', 'F2', '0.5', '5.9', 'F2', '0.5', '5.9', 'F2', '0.5', '5.9', '0.5'])\n",
            " list(['A4', 'B4', 'C5', 'B4', 'C5', 'D5', 'E5', 'E4', 'F#4', 'G#4', 'A4', 'F#4', 'B4', 'G#4', 'C5', 'A4', 'B4', 'C5', 'D5', 'E5', 'E4', 'F#4', 'G#4', 'A4', 'F#4', 'B4', 'G#4', 'C5', 'A4', 'B4', 'C5', 'D5', 'C5', 'A4', 'D5', 'B4', 'E5', 'C5', 'F5', 'D5', 'G5', 'E5', 'A5', 'F5', 'G5', 'E5', 'F5', 'D5', 'E5', 'C5', 'D5', 'B4', 'C5', 'A4', 'B4', 'G4', 'A4', 'F4', 'B4', 'C5', 'B4', 'C4', 'A4', 'G4', 'F4', 'A3', 'E4', 'E-4', 'E4', 'G#3', 'F#3', 'E3', 'E-3', 'C#3', 'B2', 'B3', 'A3', 'C#4', 'E-4', 'E4', 'G#3', 'F#4', 'F#3', 'G#4', 'E3', 'A4', 'E-3', 'C#3', 'B2', 'B3', 'A3', 'C#4', 'E-4', 'E4', 'G#3', 'F#4', 'F#3', 'G#4', 'E3', 'A4', 'E-3', 'C#3', 'B2', 'B3', 'A3', 'C#4', 'E-4', 'E4', 'G#3', 'F#4', 'F#3', 'G#4', 'E3', 'F#4', 'F#3', 'G#4', 'E3', 'A4', 'E-3', 'G#4', 'E3', 'A4', 'E-3', 'B4', 'D3', 'A4', 'E3', 'B4', 'D3', 'C5', 'C3', 'B4', 'D3', 'C5', 'C3', 'D5', 'B2', 'C5', 'C3', 'D5', 'B2', 'E5', 'A2', 'F5', 'G#2', 'E5', 'A2', 'D5', 'B2', 'F5', 'B5', 'D2', 'G#2', 'E5', 'A2', 'D5', 'B2', 'B5', 'F5', 'D2', 'G#2', 'E5', 'A2', 'D5', 'B2', 'F5', 'B5', 'D2', 'G#2', 'E5', 'A2', 'D5', 'B2', 'B5', 'F5', 'D2', 'G#2', 'E5', 'A2', 'D5', 'B2', 'B5', 'F5', 'D2', 'G#2', 'E5', 'A2', 'D5', 'B2', 'F5', 'B5', '8', 'E5', 'D5', 'F5', 'E5', 'D5', 'F5', 'E5', 'D5', 'F5', 'E5', 'D5', 'E5', 'D5', 'C5', 'D5', 'C5', 'B4', 'A4', 'B4', 'C5', 'B4', 'C5', 'D5', 'E5', 'E4', 'F#4', 'G#4', 'A4', 'F#4', 'B4', 'G#4', 'C5', 'A4', 'B4', 'C5', 'D5', 'E5', 'E4', 'F#4', 'G#4', 'A4', 'F#4', 'B4', 'G#4', 'C5', 'A4', 'B4', 'C5', 'D5', 'C5', 'A4', 'D5', 'B4', 'E5', 'C5', 'F5', 'D5', 'G5', 'E5', 'A5', 'F5', 'G5', 'E5', 'F5', 'D5', 'E5', 'C5', 'D5', 'B4', 'C5', 'A4', 'B4', 'G4', 'A4', 'F4', 'B4', 'C5', 'B4', 'C4', 'A4', 'G4', 'F4', 'A3', 'E4', 'E-4', 'E4', 'G3', 'F#4', 'F#3', 'G4', 'E3', 'A4', 'E-3', 'C#3', 'B2', 'B3', 'A3', 'C#4', 'E-4', 'E4', 'G3', 'F#4', 'F#3', 'G4', 'E3', 'A4', 'E-3', 'C#3', 'B2', 'B3', 'A3', 'C#4', 'E-4', 'E4', 'G3', 'F#4', 'F#3', 'G4', 'E3', 'F#4', 'E-3', 'G4', 'E3', 'A4', 'F#3', 'G4', 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'C3', '0.3.7', 'G2', '8.0.3', 'C2', 'G2', 'C3', 'D3', 'E-3', 'D3', 'C3', 'G2', '0.3.7', 'C2', 'G2', '11', 'C3', '0', 'D3', '1', 'E-3', '2', 'D3', '5', 'C3', '3', 'G2', '3', 'C2', 'G2', 'C3', 'D3', 'E-3', 'G3', 'C4', 'D4', 'E-4', 'D4', 'C4', '0.3.7', 'G3', '0.3.7', 'E-3', 'D3', 'C3', '0.3.7', 'G2', '3.9', 'C2', 'F#2', 'C3', 'D3', 'E-3', 'D3', 'C3', 'F#2', 'C2', 'F#2', 'C3', 'D3', 'E-3', 'D3', 'C3', 'F#2', '10.1', 'C#2', 'C#3', 'F#3', 'G#3', 'B-3', 'G#3', 'F#3', 'C#3', 'C#2', 'C#3', 'F#3', 'G#3', '6.10.1', 'B-3', 'G#3', 'F#3', '10.1.5', 'C#3', '1.5', 'B-4', 'C#2', 'C#3', 'G3', 'B-3', 'C#4', 'C4', 'B-3', 'G#3', '4', 'G3', 'F3', 'E3', 'C#3', 'C3', 'B-2', 'G#2', 'G2', '4.8.11', 'B1', 'B2', 'E3', 'F#3', 'G#3', 'F#3', 'E3', 'B2', 'B1', 'B2', 'E3', 'F#3', '4.8.11', 'G#3', 'F#3', 'E3', '8.11.3', 'B2', 'G#4', '11.3', 'B1', 'B2', 'F3', 'G#3', 'B3', 'B-3', 'G#3', 'F#3', '2', 'F3', 'E-3', 'D3', 'B2', 'B-2', 'G#2', 'F#2', 'F2', '3.7', 'B-1', 'B-2', 'E-3', 'F3', 'G3', 'F3', 'E-3', 'B-2', 'B-1', 'B-2', 'E-3', 'F3', 'G3', 'F3', 'E-3', 'B-2', 'G5', 'G4', 'D5', 'B1', 'B2', 'D3', 'G3', 'D4', 'G3', 'D3', 'B2', 'G4', 'B1', 'B2', 'D3', 'G3', 'D4', 'G3', 'F5', 'D3', 'B2', 'F5', '7.0', 'C2', 'G2', 'C3', 'D3', 'E-3', 'G3', 'C4', 'D4', 'E-5', 'E-4', 'D4', 'C4', 'G3', 'E-3', 'D3', 'C3', 'G2', 'F4', 'G#4', 'E-5', 'C#2', 'F5', 'F2', 'E-5', 'G2', 'C#5', 'G#2', 'C#3', 'F3', 'E-5', 'G3', 'F5', 'G#3', 'G3', 'F3', 'C#3', 'G#2', 'F2', 'C#2', 'G#1', '0.3', 'G1', 'E2', 'E-2', 'F2', 'E2', 'F#2', 'F2', 'G2', 'F#2', 'G#2', 'G2', 'A2', 'G#2', 'B-2', 'A2', 'B2', 'B-2', 'C3', 'B2', 'C#3', 'C3', 'D3', 'C#3', 'E-3', 'D3', 'E3', 'E-3', 'F3', 'E3', 'F#3', 'F3', 'C5', '2.5', 'G3', 'F#3', 'G#3', 'G3', 'B-3', 'G#3', 'B4', 'G3', 'F3', 'D5', 'E-3', 'D3', 'F3', 'E-3', 'G3', 'F3', 'E-3', 'D3', 'C3', 'B2', 'D3', 'C3', 'B-2', 'G#2', 'G2', 'F#2', 'G2', 'G#2', 'F2', 'G2', 'E-2', 'F2', 'D2', 'E-2', 'C4', 'C5', 'C2', 'C#4', 'C4', 'B-3', 'G3', 'G#3', 'G3', 'E3', 'C3', 'C#3', 'C3', 'B-2', 'G2', 'G#2', 'G2', '5.8', 'F2', 'C2', 'F2', 'C2', 'F2', 'C2', 'F2', 'C2', 'D5', 'F2', 'C2', 'F2', 'C2', 'F2', 'C2', 'F2', 'C2', '4.7', 'C3', 'C#4', 'C4', 'B-3', 'G3', 'G#3', 'G3', 'E3', 'C3', 'C#3', 'C3', 'B-2', 'G2', 'G#2', 'G2', '8.0', 'G4', 'C5', 'F2', 'C2', 'F2', 'C2', 'F2', 'C2', 'F2', 'C2', 'F4', 'F2', 'C2', 'F2', 'C2', '11.2', 'F2', 'C2', 'F2', 'C2', '0.4.7', 'C3', 'G#6', 'G#5', 'G6', 'G5', 'E6', 'E5', 'C6', 'C5', 'C#6', 'C#5', 'C6', 'C5', 'B-5', 'B-4', 'G5', 'G4', 'G#5', 'G#4', 'G5', 'G4', 'E5', 'E4', 'C5', 'C4', 'C#5', 'C#4', 'C5', 'C4', 'B-4', 'B-3', 'G4', 'G3', 'G#4', 'G#3', 'G4', 'G3', 'E4', 'E3', 'C4', 'C3', 'C#4', 'C#3', 'C4', 'C3', 'B-3', 'B-2', 'G3', 'G2', 'G#3', 'G#2', 'G3', 'G2', 'E3', 'E2', 'C3', 'C2', 'C#3', 'C#2', 'C3', 'C2', '5.9.0', '5', '5.8.0', '5', '0', '0.4.7', '0'])\n",
            " list(['B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-2', 'D5', '5.8.10', 'E-5', '2.5', '5.8.10', 'B-4', 'E-3', 'E-5', '3.7.10', 'F5', '3.7', '3.7.10', 'B-4', 'D3', 'F5', '5.8.10', 'G5', '5.8', '5.8.10', '7.10.1', 'E-3', '7.10.1', '7.10.1', 'E3', '7.10.1', 'B-5', '1.7', 'F3', 'C6', '5.8', 'B-5', '8.0', 'G#2', 'G#5', 'B4', 'B-2', 'B-5', '3.7', 'G#5', '7.10', '3.7', 'G5', 'B-4', 'B-2', 'G#5', '2.5', 'G5', '5.8', '10.2', 'F5', 'G#4', 'E-3', 'G5', '10.3', 'F5', '3.7', '10.3', 'B-4', 'B-2', 'D5', '5.8.10', 'E-5', '2.5', '5.8.10', 'B-4', 'E-3', 'E-5', '3.7.10', 'F5', '3.7', '3.7.10', 'B-4', 'D3', 'F5', '5.8.10', 'G5', '5.8', '5.8.10', '7.10.1', 'E-3', '7.10.1', '7.10', 'C#5', 'E3', '7.10', 'C#5', 'F3', 'B-5', 'C6', '5.8', 'B-5', '8.0', 'G#2', 'B4', 'B-2', 'G#5', 'B-5', '3.7', 'G#5', '7.10', '3.7', 'B-4', 'B-2', 'G5', 'G#5', '2.5', 'G5', '5.8', 'D4', 'B-3', '3.7', '3', 'B-4', 'B-4', 'B-4', 'B-4', 'B-4', 'B-2', 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            " list(['C3', 'C2', 'E-3', 'E-2', 'G#3', 'G#2', 'B-3', 'B-2', 'C4', 'C3', 'G#3', 'G#2', 'E-4', 'E-3', 'B-4', 'B-3', 'C5', 'C4', 'G#4', 'G#3', 'E-5', 'E-4', 'B-5', 'B-4', 'C6', 'C5', 'G5', 'G4', 'B-5', 'B-4', 'G#5', 'G#4', 'G5', 'G4', 'F#5', 'F#4', 'F#5', 'F#4', 'G5', 'G4', 'F#5', 'F#4', 'F5', 'F4', 'F#5', 'F#4', 'A5', 'A4', 'G5', 'G4', 'E-5', 'E-4', 'E-5', 'E-4', 'D5', 'D4', 'F5', 'F4', 'E-5', 'E-4', 'D5', 'D4', 'D5', 'D4', 'C5', '0.3.7', 'G4', 'D3', 'G3', 'B-4', 'E-4', 'D2', 'C4', 'D4', 'F#4', 'B-4', 'A4', 'G4', '10.2', 'G2', '10.2', 'G2', 'D5', '2.7', 'B-3', '2.7', 'B-3', 'C5', '0.3.7', 'A3', '0.3.7', 'A3', 'C4', 'D4', 'D2', 'F#4', 'B-4', 'D2', 'A4', 'G4', '10.2', 'G2', '10.2', 'G2', 'E4', '7.9.1', 'A2', '7.9.1', 'A2', 'F#4', '2.6.9', 'D2', '2.6.9', 'D2', 'C4', 'D4', 'D3', 'F#4', 'B-4', 'D3', 'A4', 'G4', '10.2', 'G2', '10.2', 'G2', 'G5', '7.10.1', 'E4', '7.10.1', 'E4', 'F5', 'F4', 'F4', 'E-4', 'F4', 'A4', 'F2', 'E-5', 'D5', 'F2', 'C#5', 'C#5', '3.5.9', 'B-2', '3.5.9', 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'G#3', '8.0', 'E-3', '5.8', '5', 'B-2', 'F3', 'G#3', 'D4', '5.8', 'G#3', 'F3', '5.7', 'B2', 'F3', 'B-5', '5.8', 'G3', 'D4', 'G3', '5.7', 'F3', '3.7', 'C3', 'E-3', '3.8', 'G3', 'E-4', '3.9', 'F#3', 'E-3', '5.8.10', 'D3', 'G#3', 'B-3', 'F4', 'B-3', 'G#3', 'B-2', 'F3', 'B-3', 'D4', 'B-3', 'F3', '3.7', 'E-2', 'B-2', 'E-3', 'G3', 'B-3', 'E-4', '3.7', 'G4', 'E-4', 'B-3', 'G3', 'E-3', 'B-2', 'F2', 'C3', 'E-3', 'B-3', 'E-3', 'C3', '2.5.9', 'F2', 'C3', 'E-3', 'A3', 'E-3', 'C3', '10.2', 'B-1', 'B-2', 'F3', 'B-3', 'D4', 'F4', '10', 'D5', 'B-4', 'F4', 'D4', 'B-3', '10', 'F3', '10', 'B-2', 'E3', 'G3', 'C4', 'G3', 'E3', 'C4', 'C5', 'B-2', 'E3', 'G3', 'C4', '2', 'G3', 'E3', 'E-4', 'E-5', 'B-2', 'F5', 'E-5', 'F3', '2', 'A3', '3', 'C4', 'A3', '2.7', 'F3', 'D5', 'G#4', 'G5', 'B-2', 'F3', 'B-4', 'G#3', 'D4', 'G#4', 'G#3', 'F5', 'F3', 'E-5', '3.7', 'E-2', 'B-2', 'E-3', 'G3', 'E-3', 'B-2', 'E-2', 'B-2', 'E-3', 'G4', 'B-3', 'G#4', 'B-4', 'E-3', 'D5', 'B-2', 'C5', 'B-4', 'E-2', 'B-2', 'E-3', 'G3', 'E-3', 'B-2', 'E-2', 'B-2', 'E-3', 'G4', 'B-3', 'G#4', 'B-4', 'E-3', 'D5', 'B-2', 'C5', 'B-4', 'E-2', 'B-2', 'D3', 'G#3', 'D3', 'B-2', 'E-2', 'B-2', 'D3', 'F4', 'B-3', 'G#4', 'B-4', 'D3', 'D5', 'B-2', 'C5', 'B-4', 'E-2', 'B-2', 'E-3', 'C#4', 'G3', 'E-4', 'G4', 'E-3', 'C5', 'B-2', 'B-4', 'G#4', 'E-2', 'B2', 'E-3', 'B3', 'G#3', 'E-4', 'E-3', 'F4', 'B2', 'G4', 'E-2', 'B-2', 'E-3', 'G3', 'E-3', 'B-2', 'E-2', 'B-2', 'E-3', 'G4', 'B-3', 'G#4', 'B-4', 'E-3', 'D5', 'B-2', 'C5', 'B-4', 'E-2', 'B-5', 'B-2', 'B-6', 'E-3', 'G3', 'E-3', 'B-2', 'E-2', 'B-2', 'E-3', 'G4', 'B-3', 'G#4', 'B-4', 'E-3', 'D5', 'B-2', 'C5', 'B-4', 'E-2', 'B-5', 'B-2', 'B-6', 'D3', 'G#3', 'D3', 'B-2', 'E-2', 'B-2', 'D3', 'F4', 'B-3', 'G#4', 'B-4', 'D3', 'D5', 'B-2', 'C5', 'B-4', 'E-2', 'B-2', 'E-3', 'C#4', 'G3', 'E-4', 'G4', 'E-3', 'C5', 'B-2', 'B-4', 'G#4', 'E-2', 'B2', 'E-3', 'B3', 'G#3', 'E-4', 'E-3', 'F4', 'B2', 'G4', 'E-2', 'B-2', 'E-3', 'G3', 'E-3', 'B-2', 'E-2', 'G4', 'B-2', 'B-4', 'E-3', 'G5', 'B-3', 'F5', 'E-3', 'E-5', 'B-2', 'B-4', 'E-2', 'B-2', 'E-3', 'G3', 'E-3', 'B-2', 'E-2', 'G4', 'B-2', 'B-4', 'E-3', 'G5', 'B-3', 'F5', 'E-3', 'E-5', 'B-2', 'D5', 'G2', 'D3', 'G3', 'B-3', 'D4', 'B-3', 'G4', 'B-4', 'D4', 'D5', 'B-3', 'B-5', 'G3', 'A5', 'D3', 'G5', 'G2', 'D5', 'G1', 'G2', 'D3', 'G3', 'B-3', 'D4', 'B-4', 'B-4', 'G4', 'D5', 'D4', 'B-5', 'B-3', 'A5', 'G3', 'G5', 'D3', 'D5', 'G2', 'B-4', 'D3', 'D5', 'D4', 'B-5', 'A5', 'G5', 'D5', 'B-4', 'D5', 'B-5', 'A5', 'G5', 'D5', 'A5', 'C6', 'B-5', 'G5', 'E-5', 'B-4', 'G4', 'C4', 'D4', 'F4', 'E-4', 'D3', 'D2', 'D2', 'C4', 'D4', 'D2', 'F#4', 'B-4', 'D2', 'A4', 'G4', '10.2', 'D2', '10.2', 'D2', 'D5', 'D4', 'G4', '2.7', 'G4', '2.7', 'C5', 'C4', '3.7', '2.7', '3.7', '2.7', 'C4', 'D4', 'D2', 'F#4', 'B-4', 'D2', 'A4', 'G4', '10.2', 'D2', '10.2', 'D2', 'E4', '7.9.1', 'D2', '7.9.1', 'D2', 'F#4', '2.6.9', 'D2', '2.6.9', 'D2', 'C4', 'D4', 'D2', 'F#4', 'B-4', 'D2', 'A4', 'G4', '10.2', 'D2', '10.2', 'D2', 'D5', 'D4', '7.10', '7.10.2', '7.10', '7.10.2', 'E5', 'E4', '7.10', '7.10.2', '7.10', '7.10.2', 'B-3', 'C#4', 'D2', 'E4', 'A4', 'D2', 'G4', 'G4', '10.1.4', 'D2', '10.1.4', 'D2', 'E5', 'E4', '7.10.1', '7.10.2', '7.10.1', '7.10.2', 'F#5', 'F#4', '7.10.1', '7.10.2', '7.10.1', '7.10.2', 'E5', 'E4', '7.10.1', '7.10.2', 'F#5', 'F#4', 'F#5', 'F#4', '7.10.1', '7.10.2', '7.10.1', '7.10.2', 'E5', 'E4', '7.10.1', '7.10.2', 'F#5', 'F#4', 'F#5', 'F#4', '7.10.1', '7.10.2', '7.10.1', '7.10.2', 'E5', 'E4', '7.10.1', '7.10.2', 'F#5', 'F#4', 'A5', 'A4', '10.1.4', '10.1.4', '10.1.4', '10.1.4', 'G5', 'G4', '10.1.4', '10.1.4', 'A5', 'A4', '10.2', '2', '10.2', '10.2', '0.3', '2.7', '10.2', '9.0', '7.10', '7.10', '6.9', '2.7', '7.10', '5.9', '10.2', '3.7', '3.7', '2', '2.6', '0.3', '0.2.6', '10.2', '9.0', '0.2.6', '7.10', '6.9', '0.6', '0.3', '0.2', '11.2', '0.2.6', '10.2', '9.2', '2.8', '9.2', '10.2', '0.2.6', '9.2', '0.2', '10.2', '2.7', '7', '7.10.2', 'A5', '7.10.2', '7.10.2', '7.10.2', 'B-2', 'F#5', '7.10.2', '7.10.2', '7.10.2', 'D3', 'C#5', '7.10.2', '7.10.2', '7.10.2', 'G3', 'B-4', '0.3.7', '0.3.7', 'A2', 'D5', 'C#5', '0.3.7', 'C5', '0.3.7', 'A3', 'D5', 'C#5', '0.2.6', 'C5', '0.3.6', 'D3', 'D5', 'C#5', '0.2.6', 'C5', '2.6.9', 'A3', 'C5', '7.10.2', '2.7', '7.10.2', 'G2', 'A5', '7.10.2', '7.10.2', '7.10.2', 'B-2', 'F#5', '7.10.2', '7.10.2', '7.10.2', 'D3', 'C#5', '7.10.2', '7.10.2', '7.10.2', 'G3', 'B-4', '0.3.7', '0.3.7', 'A2', 'D5', 'C#5', '0.3.7', 'C5', '0.3.7', 'A3', 'D5', 'C#5', '0.2.6', 'C5', '0.3.6', 'D3', 'D5', 'C#5', '0.2.6', 'C5', '2.6.9', 'A3', 'C5', '7.10.2', '2.7', 'G#5', 'C3', '3.8', 'G#5', '3.8', 'G4', '3.8', '3.7', 'F#4', 'D3', '6.9', 'F#5', '9.0.2', '6.9', 'G5', 'G2', '7.10', 'G5', '7.10.2', '7.10', 'G#4', 'C3', '3.8', 'G#5', '3.8', '3.8', 'G#5', '3.8', 'G4', '3.8', '3.7', 'F#4', 'D3', '6.9', 'F#5', '9.0.2', '6.9', 'G5', 'G2', '7.10', 'G5', '7.10.2', '7.10', 'F4', 'B2', '5.8', 'F5', '2.5.8', '5.8', 'F5', 'C3', '3.8', 'E-4', '8.0.3', '3.8', 'D4', 'D3', '2.8', 'D5', '5.8.11', '2.8', 'D5', 'E-3', '8.0', 'C4', 'G#3', '8.0', 'C4', 'F#2', '0.3', 'C5', '0.3.6', '0.3', 'C5', '7.10.2', '0.3', 'B-4', 'G2', '10.2', 'B-4', 'C3', '10.2', 'A4', '9.0', 'G4', 'D3', '7.10', 'F#4', '9.0.2', '6.9', '7.10', '7.10.2', 'G#5', 'C3', '3.8', 'G#5', '3.8', 'G4', '3.8', '3.7', 'F#4', 'D3', '6.9', 'F#5', '9.0.2', '6.9', 'G5', 'G2', '7.10', 'G5', '7.10.2', '7.10', 'G#4', 'C3', '3.8', 'G#5', '3.8', '3.8', 'G#5', 'D3', '3.8', 'G4', 'E-3', '7.0', 'F#4', 'D3', '6.9', 'F#5', '9.0.2', '6.9', 'G5', 'G2', '7.10', 'G5', '7.10.2', '7.10', 'F4', '11', '5.8', 'F5', '2.5.8', '5.8', 'F5', '0', '3.7', 'E-4', '0.3.7', '3.7', 'D4', '2', '2.6', 'D5', '6.9', '2.6', 'D5', '4', '1.4', 'C#4', '7.10', '1.4', 'C4', '6', '0.3', 'C5', '0.3.6', '0.3', 'B4', '0.3.7', '11.3', 'C5', '7', '0.3', 'C5', '8', '0.3', 'E-5', '3.6', 'D5', '2.6', 'E-5', '9', '3.6', 'E-5', '10', '3.6', 'F#5', '6.10', 'F5', '5.8', 'F#5', '11', '6.9', 'F#5', '0', '6.9', 'A5', '9.0', 'B-5', '10.2', 'C6', '0.3', 'C6', '10', '0.3', 'B-5', '2.7', '10.2', 'B-5', '0', '10.2', 'A5', '9.0', 'A5', '2', '9.0', 'G5', '7.10.2', '7.10', 'G5', '0', '7.10', 'D5', '2.6', '10', 'B-5', '10.2', '2.7', 'B-5', '10.1', '0', 'B-5', '9.0', 'A5', '9.0', '2', 'A5', '7.10', '7.10.2', 'G5', '7.10', '0', 'G5', '2.6', 'D5', '10', 'D6', '7.10.2', 'D6', '7.10.2', 'D5', '7.10.2', 'D5', '7.10.2', 'D4', '7.10.2', 'D4', '7.10.2', 'D3', '7.10.2', 'D3', '6', '7', 'D3', '1', '2', 'D3', '6', '7', 'D3', '1', '2', 'D3', '2', 'G3', 'G#3', 'A3', 'B-3', 'B3', 'C4', 'C#4', 'D4', 'E-4', 'E4', 'F4', 'F#4', 'G4', '1.4.7.10', 'G#4', 'A4', 'B-4', 'B4', 'C5', '1.4.7.10', 'C#5', 'D5', 'E-5', 'E5', 'F5', 'F#5', 'G5', '1.4.7.10', 'G#5', 'A5', 'B-5', 'B5', 'C6', '1.4.7.10', 'C#6', 'D6', 'E-6', 'E6', 'F6', 'F#6', 'G6', '1.4.7.10', 'G#6', 'A6', 'B-6', 'B6', 'D3', 'C#7', 'A3', 'C4', 'E-7', 'G4', 'D7', 'E-7', 'D7', 'C7', 'B6', 'D7', 'C7', 'B-6', 'A6', 'G6', 'F#6', 'A6', 'G6', 'F#6', 'E-6', 'D6', 'E-6', 'D6', 'F6', 'E-6', 'D6', 'C6', 'B5', 'D6', 'C6', 'B-5', 'A5', 'G5', 'F#4', 'F#5', 'A5', 'G5', 'F#5', 'E-5', 'D5', 'E-5', 'D5', 'F5', 'E-5', 'D5', 'C5', 'B4', 'D5', 'C5', 'B-4', 'A4', 'G4', 'F#4', 'E-4', 'D4', 'C4', 'B-3', 'A3', 'G3', 'F#3', 'E-3', 'D3', 'C3', 'B-2', 'A2', 'G2', 'F#2', 'E-2', 'D2', 'C2', 'B-1', 'A1', 'G1', 'A2', 'A1', 'B-2', 'B-1', 'C3', 'C2', 'D3', 'D2', 'E3', 'E2', 'F#3', 'F#2', 'G3', 'G2', 'A3', 'A2', 'B-3', 'B-2', 'C4', 'C3', 'D4', 'D3', 'E4', 'E3', 'F#4', 'F#3', 'G4', 'G3', 'A4', 'A3', 'B-4', 'B-3', 'C5', 'C4', 'D5', 'D4', 'E5', 'E4', 'F#5', 'F#4', 'G5', 'G4', '7.10.2', '7.10.2', '7.10.2', '2', '7', '9', '0', '10', '10', 'B-2', 'G1', 'C3', 'A1', 'D3', 'B-1', 'E3', 'C2', 'F#3', 'D2', 'G3', 'E2', 'A3', 'F#2', 'B-3', 'G2', 'C4', 'A2', 'D4', 'B-2', 'E4', 'C3', 'F#4', 'D3', 'G4', 'E3', 'A4', 'F#3', 'B-4', 'G3', 'C5', 'A3', 'D5', 'B-3', 'E5', 'C4', 'F#5', 'D4', 'G5', 'E4', 'A5', 'F#4', 'B-5', 'G4', 'C6', 'A4', 'D6', 'B-4', 'E6', 'C5', 'F#6', 'D5', 'G6', 'E5', 'A6', 'F#5', 'B-6', 'G5', '7.10.2', '7', '7.10.2', '7', '7.10.2', '7', 'D4', 'D3', 'G4', 'G3', 'B-4', 'B-3', 'E-5', 'D5', 'E-4', 'D4', 'D5', 'D4', '4', 'B-1', 'B-2', '3', '11', '2', '0', '1', '1', '0', '2', '11', '3', '10', '4', '9', '5', '8', '6', '7', '7', '6', '6', '5', '5', '4', '4', '3', '3', '2', '2', '1', '1', '0', '0', '11', '11', '10', '10', '9', '9', '8', '8', '7', '7', '7.10.2', '2.7', 'G3', '7'])\n",
            " list(['E-5', 'E-5', 'G#1', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'F5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'E-5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'F5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'E-5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'B-5', 'G#2', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'G#5', 'G#2', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'G#5', 'G#2', 'C5', 'E3', 'E5', 'G#3', 'E4', 'C4', 'C5', 'G#3', 'E5', 'E3', 'G#5', 'G#2', 'C5', 'E3', 'E5', 'G#3', 'E4', 'C4', 'C5', 'G#3', 'E5', 'E3', 'G#5', 'C#2', 'C#5', 'G#3', 'F5', 'C#4', 'G#4', 'F4', 'C#5', 'C#4', 'F5', 'G#3', 'G#5', 'C#3', 'C#5', 'G#3', 'F5', 'C#4', 'G#4', 'F4', 'C#5', 'C#4', 'F5', 'G#3', 'G#5', 'C#3', 'C#5', 'G#3', 'F5', 'C#4', 'G#4', 'F4', 'C#5', 'C#4', 'F5', 'G#3', 'B-5', 'C#3', 'C#5', 'G3', 'F5', 'C#4', 'G4', 'F4', 'C#5', 'C#4', 'F5', 'G3', 'C6', 'C3', 'C5', 'G3', 'F5', 'C4', 'G4', 'F4', 'C5', 'C4', 'F5', 'G3', 'B-5', 'C3', 'C5', 'G3', 'E5', 'C4', 'G4', 'E4', 'C5', 'C4', 'E5', 'G3', 'G#5', 'F3', 'C5', 'G#3', 'F5', 'C4', 'G#4', 'F4', 'C5', 'C4', 'F5', 'G#3', 'F5', 'B2', 'B4', 'F3', 'E-5', 'G#3', 'F4', 'E-4', 'B4', 'G#3', 'E-5', 'F3', 'F5', 'B-2', 'B-4', 'F3', 'E-5', 'G#3', 'F4', 'E-4', 'B-4', 'G#3', 'E-5', 'F3', 'G5', 'B-2', 'B-4', 'F3', 'E-5', 'G#3', 'F4', 'E-4', 'B-4', 'G#3', 'E-5', 'F3', 'G#5', 'B-2', 'B-4', 'F3', 'D5', 'G#3', 'F4', 'D4', 'G#4', 'G#3', 'B-4', 'F3', 'B-4', 'B-2', 'F4', 'F3', 'G#4', 'G#3', 'B-3', 'D4', 'F4', 'G#3', 'G#4', 'F3', 'B-4', 'E-2', 'F4', 'B-2', 'G#4', 'E-3', 'B-3', 'C#4', 'F4', 'E-3', 'G#4', 'B-2', 'C5', 'E-2', 'E-4', 'B-2', 'G#4', 'E-3', 'B-3', 'G#3', 'E-4', 'E-3', 'G#4', 'B-2', 'C#5', 'E-2', 'E-4', 'B-2', 'G4', 'E-3', 'B-3', 'G3', 'C#4', 'E-3', 'E-4', 'B-2', 'E-4', 'E-2', 'B-3', 'B-2', 'C#4', 'C#3', 'E-3', 'G3', 'B-3', 'C#3', 'C#4', 'B-2', 'E-5', 'G#1', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'F5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'B-5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'C6', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'G5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'B-5', 'G#2', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'G#5', 'G#2', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'G#5', 'G#2', 'C5', 'E3', 'E5', 'G#3', 'E4', 'C4', 'C5', 'G#3', 'E5', 'E3', 'G#5', 'G#2', 'C5', 'E3', 'E5', 'G#3', 'E4', 'C4', 'C5', 'G#3', 'E5', 'E3', 'G#5', 'C#2', 'C#5', 'G#3', 'F5', 'C#4', 'G#4', 'F4', 'C#5', 'C#4', 'F5', 'G#3', 'G#5', 'C#3', 'C#5', 'G#3', 'F5', 'C#4', 'G#4', 'F4', 'C#5', 'C#4', 'F5', 'G#3', 'G#5', 'C#3', 'C#5', 'G#3', 'F5', 'C#4', 'G#4', 'F4', 'C#5', 'C#4', 'F5', 'G#3', 'B-5', 'C#3', 'C#5', 'G3', 'F5', 'C#4', 'G4', 'F4', 'C#5', 'C#4', 'F5', 'G3', 'C6', 'C3', 'C5', 'G3', 'F5', 'C4', 'G4', 'F4', 'C5', 'C4', 'F5', 'G3', 'G5', 'C3', 'C5', 'G3', 'F5', 'C4', 'G4', 'F4', 'C5', 'C4', 'F5', 'G3', 'G5', 'C3', 'C5', 'G3', 'E5', 'C4', 'G4', 'E4', 'C5', 'C4', 'E5', 'G3', 'G5', 'C3', 'C5', 'G3', 'E5', 'C4', 'G4', 'E4', 'C5', 'C4', 'E5', 'G3', 'G5', 'G2', 'B4', 'D3', 'E5', 'G3', 'F4', 'B3', 'B4', 'G3', 'E5', 'D3', 'G5', 'G2', 'B4', 'D3', 'D5', 'G3', 'F4', 'B3', 'B4', 'G3', 'D5', 'D3', 'G5', 'G2', 'B4', 'D3', 'F5', 'G3', 'F4', 'D4', 'B4', 'G3', 'F5', 'D3', 'G5', 'G2', 'B4', 'D3', 'E5', 'G3', 'F4', 'D4', 'B4', 'G3', 'E5', 'D3', 'D5', 'C2', 'F4', 'G2', 'G4', 'C3', 'C4', 'G3', 'F4', 'C3', 'G4', 'G2', 'C5', 'C2', 'E4', 'G2', 'G4', 'C3', 'C4', 'G3', 'E4', 'C3', 'G4', 'G2', 'C5', 'C2', 'D4', 'G2', 'G4', 'C3', 'C4', 'G3', 'D4', 'C3', 'G4', 'G2', 'C5', 'C2', 'E4', 'G2', 'G4', 'C3', 'C4', 'G3', 'E4', 'G4', 'C3', 'C5', 'E2', 'G4', 'C3', 'B-4', 'C4', 'B-3', 'G4', 'B-4', 'C3', 'C5', 'E2', 'G4', 'C3', 'B-4', 'C4', 'B-3', 'G4', 'B-4', 'C3', 'C#5', 'E2', 'G4', 'C3', 'B-4', 'C4', 'B-3', 'G4', 'B-4', 'C3', 'C5', 'E2', 'G4', 'C3', 'B-4', 'C4', 'B-3', 'G4', 'B-4', 'C3', 'C5', 'F2', 'F4', 'C3', 'B-4', 'C4', 'B-3', 'F4', 'B-4', 'C3', 'D5', 'F2', 'F4', 'C3', 'G#4', 'C4', 'G#3', 'F4', 'G#4', 'C3', 'E5', 'F2', 'G4', 'C3', 'C5', 'C4', 'G3', 'G4', 'C5', 'C3', 'F5', 'F2', 'G#4', 'C3', 'C5', 'C4', 'F3', 'G#4', 'C5', 'C3', 'E-5', 'G2', 'B-4', 'E-3', 'C#5', 'E-4', 'C#4', 'B-4', 'C#5', 'E-3', 'E-5', 'G2', 'B-4', 'E-3', 'C#5', 'E-4', 'C#4', 'B-4', 'C#5', 'E-3', 'F5', 'G2', 'B-4', 'E-3', 'C#5', 'E-4', 'C#4', 'B-4', 'C#5', 'E-3', 'E-5', 'G2', 'B-4', 'E-3', 'C#5', 'E-4', 'C#4', 'B-4', 'C#5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C#5', 'E-4', 'C#4', 'G#4', 'C#5', 'E-3', 'F5', 'G#2', 'G#4', 'E-3', 'C5', 'E-4', 'C4', 'G#4', 'C5', 'E-3', 'G5', 'G#2', 'G#4', 'E-3', 'C5', 'E-4', 'B-3', 'G#4', 'C5', 'E-3', 'G#5', 'G#2', 'G#4', 'E-3', 'C5', 'E-4', 'G#3', 'G#4', 'C5', 'E-3', 'G5', 'E-2', 'C5', 'G3', 'E-5', 'G4', 'C4', 'C5', 'E-5', 'G3', 'G5', 'C3', 'C5', 'G3', 'E-5', 'G4', 'C4', 'C5', 'E-5', 'G3', 'G#5', 'F2', 'C5', 'D3', 'D5', 'F4', 'C4', 'C5', 'D5', 'D3', 'F5', 'G2', 'B4', 'D3', 'D5', 'F4', 'B3', 'B4', 'G3', 'D5', 'D3', 'E5', 'C3', 'G4', 'E3', 'C5', 'G3', 'E4', 'C4', 'G4', 'G3', 'C5', 'E3', 'D5', 'C3', 'G#4', 'F3', 'B4', 'G#3', 'D4', 'B3', 'G#4', 'G#3', 'B4', 'F3', 'F5', 'C3', 'G#4', 'F3', 'B4', 'G#3', 'F4', 'D4', 'G#4', 'G#3', 'B4', 'F3', 'E5', 'C3', 'G#4', 'E3', 'B4', 'G#3', 'E4', 'D4', 'G#4', 'G#3', 'B4', 'E3', 'E5', 'C3', 'G4', 'E3', 'C5', 'G3', 'E4', 'C4', 'G4', 'G3', 'C5', 'E3', 'D5', 'B2', 'G#4', 'F3', 'B4', 'G#3', 'D4', 'B3', 'G#4', 'G#3', 'B4', 'F3', 'F5', 'B2', 'G#4', 'F3', 'B4', 'G#3', 'F4', 'D4', 'G#4', 'G#3', 'B4', 'F3', 'E5', 'B2', 'G#4', 'E3', 'B4', 'G#3', 'E4', 'D4', 'G#4', 'G#3', 'B4', 'E3', 'E5', 'A2', 'A4', 'E3', 'C#5', 'A3', 'E4', 'C#4', 'A4', 'A3', 'C#5', 'E3', 'D5', 'A2', 'A4', 'F#3', 'B4', 'A3', 'D4', 'B3', 'A4', 'A3', 'B4', 'F#3', 'F#5', 'A2', 'A4', 'F#3', 'B4', 'A3', 'F#4', 'D4', 'A4', 'A3', 'B4', 'F#3', 'E5', 'A2', 'G#4', 'E3', 'D5', 'G#3', 'E4', 'D4', 'G#4', 'G#3', 'D5', 'E3', 'E5', 'A2', 'A4', 'E3', 'C#5', 'A3', 'E4', 'C#4', 'A4', 'A3', 'C#5', 'E3', 'A5', 'A2', 'C#5', 'E3', 'E5', 'A3', 'A4', 'C#4', 'C#5', 'A3', 'E5', 'E3', 'B5', 'A2', 'E-5', 'E-3', 'F#5', 'F#3', 'A4', 'C4', 'E-5', 'F#3', 'F#5', 'E-3', 'C6', 'A2', 'E-5', 'E-3', 'F#5', 'F#3', 'G#4', 'C4', 'E-5', 'F#3', 'F#5', 'E-3', 'C6', 'C#2', 'C#5', 'G#3', 'F5', 'B-3', 'F4', 'C#4', 'C#5', 'B-3', 'F5', 'G#3', 'B-5', 'C#3', 'C#5', 'G#3', 'F5', 'B-3', 'F4', 'C#4', 'C#5', 'B-3', 'F5', 'G#3', 'C#6', 'C#2', 'B-4', 'G#3', 'C#5', 'B-3', 'F4', 'C#4', 'B-4', 'B-3', 'C#5', 'G#3', 'F5', 'C#3', 'B-4', 'G#3', 'C#5', 'B-3', 'F4', 'C#4', 'B-4', 'B-3', 'C#5', 'G#3', 'B-5', 'E-2', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'G#5', 'C3', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'C6', 'E-2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'C3', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'E-2', 'G4', 'E-3', 'B-4', 'G3', 'C#4', 'E-4', 'G4', 'G3', 'B-4', 'E-3', 'E5', 'B-2', 'G4', 'E-3', 'B-4', 'G3', 'C#4', 'E-4', 'G4', 'G3', 'B-4', 'E-3', 'F5', 'E-2', 'G4', 'E-3', 'B-4', 'G3', 'C#4', 'E-4', 'G4', 'G3', 'B-4', 'E-3', 'E-5', 'B-2', 'G4', 'E-3', 'B-4', 'G3', 'C#4', 'E-4', 'G4', 'G3', 'B-4', 'E-3', 'C#5', 'F2', 'F4', 'F3', 'G#4', 'C#4', 'G#3', 'F4', 'G#4', 'F3', 'C5', 'G#2', 'F4', 'F3', 'G#4', 'C4', 'G#3', 'F4', 'F3', 'G#4', 'C3', 'C5', 'F2', 'E-4', 'F3', 'F4', 'C4', 'A3', 'E-4', 'F4', 'E-3', 'C6', 'C3', 'E-5', 'F3', 'F5', 'C5', 'A3', 'E-5', 'F3', 'F5', 'C3', 'C6', 'B-1', 'C#5', 'F3', 'F5', 'B-3', 'F4', 'C#4', 'C#5', 'B-3', 'F5', 'F3', 'B-5', 'B-2', 'C#5', 'F3', 'F5', 'B-3', 'F4', 'C#4', 'C#5', 'B-3', 'F5', 'F3', 'C#6', 'B-1', 'B-4', 'E3', 'C#5', 'G#3', 'E4', 'C#4', 'B-4', 'G#3', 'C#5', 'E3', 'E5', 'B-2', 'B-4', 'E3', 'C#5', 'G#3', 'E4', 'C#4', 'B-4', 'G#3', 'C#5', 'E3', 'B-5', 'E-2', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'G#5', 'C3', 'C5', 'E-3', 'E-5', 'G#3', 'E-4', 'C4', 'C5', 'G#3', 'E-5', 'E-3', 'C6', 'E-2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'C3', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'E-2', 'A4', 'A3', 'C5', 'E-4', 'C4', 'A4', 'C5', 'A3', 'F5', 'E-3', 'A4', 'A3', 'C5', 'E-4', 'C4', 'A4', 'A3', 'C5', 'E-3', 'F#5', 'E-2', 'A4', 'A3', 'C5', 'E-4', 'C4', 'A4', 'C5', 'A3', 'F5', 'E-3', 'A4', 'A3', 'C5', 'E-4', 'F4', 'A4', 'A3', 'C5', 'E-3', 'F5', 'E-2', 'B-4', 'B-3', 'C#5', 'C#4', 'F4', 'B-4', 'C#5', 'B-3', 'G5', 'E-3', 'B-4', 'B-3', 'C#5', 'F4', 'C#4', 'B-4', 'B-3', 'C#5', 'E-3', 'G#5', 'E-2', 'B4', 'B3', 'C#5', 'F4', 'D4', 'B4', 'C#5', 'B3', 'G5', 'E-3', 'B4', 'B3', 'C#5', 'F4', 'G4', 'B4', 'B3', 'C#5', 'E-3', 'G5', 'E-2', 'C5', 'C4', 'E-5', 'E-4', 'G4', 'C5', 'E-5', 'C4', 'G#5', 'E-3', 'C5', 'C4', 'E-5', 'G#4', 'E-4', 'C5', 'C4', 'E-5', 'E-3', 'A5', 'E-2', 'C5', 'C4', 'E-5', 'A4', 'F#4', 'C5', 'E-5', 'C4', 'F#6', 'E-3', 'A5', 'C4', 'C6', 'E-4', 'E-5', 'A4', 'A5', 'E-4', 'C6', 'C4', 'F6', 'E-3', 'F5', 'B-3', 'G#5', 'D4', 'B-4', 'G#4', 'F5', 'D4', 'G#5', 'B-3', 'B-5', 'E-3', 'F5', 'B-3', 'G#5', 'D4', 'B-4', 'G#4', 'F5', 'D4', 'G#5', 'B-3', 'C#6', 'E-3', 'E5', 'B-3', 'G#5', 'C#4', 'B-4', 'G#4', 'E5', 'C#4', 'G#5', 'B-3', 'G5', 'E-3', 'C#5', 'B-3', 'E-5', 'C#4', 'G4', 'E-4', 'C#5', 'C#4', 'E-5', 'B-3', 'G#5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'F5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'F4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'E-5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'C6', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'G5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'G#5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'F5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'E-5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'F6', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'G5', 'G#2', 'B-4', 'E-3', 'C#5', 'G3', 'E-4', 'C#4', 'B-4', 'G3', 'C#5', 'E-3', 'G#5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'F5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'E-5', 'G#2', 'G#4', 'E-3', 'C5', 'G#3', 'E-4', 'C4', 'G#4', 'G#3', 'C5', 'E-3', 'C#5', 'E-2', 'E-4', 'G#2', 'G#4', 'E-3', 'C#4', 'G#3', 'E-4', 'E-3', 'G#4', 'G#2', 'C5', 'C5', 'E-2', 'E-4', 'G#2', 'G#4', 'E-3', 'C4', 'G#3', 'E-4', 'E-3', 'G#4', 'G#2', 'C#5', 'E-2', 'E-4', 'G#2', 'G#4', 'E-3', 'C#4', 'G#3', 'E-4', 'E-3', 'G#4', 'G#2', 'C5', 'E-2', 'E-4', 'G#2', 'G#4', 'E-3', 'C4', 'G#3', 'E-4', 'E-3', 'G#4', 'G#2', 'B-4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'B-3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'G#4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'G#3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'B-4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'B-3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'G#4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'G#3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'B-4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'B-3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'G#4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'G#3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'B-4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'B-3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'G#4', 'G#1', 'C4', 'E-2', 'E-4', 'G#2', 'G#3', 'E-3', 'C4', 'G#2', 'E-4', 'E-2', 'G#1', 'C3', 'E-2', 'E-3', 'G#2', 'G#3', 'C3', 'C4', 'E-3', 'E-4', 'G#3', 'G#4', 'C4', 'C5', 'E-4', 'E-5', 'G#4', 'G#5', 'C5', 'C6', 'E-5', 'E-6', 'G#5', 'G#6', 'C6', 'E-6', 'G#5', 'C6', 'E-5', 'G#5', 'C5', 'E-5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'E-5', 'G#4', 'G#5', 'C5', 'C6', 'E-5', 'E-6', 'G#5', 'G#6', 'C6', 'E-6', 'G#5', 'C6', 'E-5', 'G#5', 'C5', 'E-5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'E-5', 'G#4', 'G#5', 'C5', 'C6', 'E-5', 'E-6', 'G#5', 'G#6', 'C6', 'E-6', 'G#5', 'C6', 'E-5', 'G#5', 'C5', 'E-5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'E-5', 'G#4', 'G#5', 'C5', 'C6', 'E-5', 'E-6', 'G#5', 'G#6', 'C6', 'E-6', 'G#5', 'C6', 'E-5', 'G#5', 'C5', 'E-5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'G#5', 'G#4', 'C6', 'E-5', 'G#5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'G#5', 'G#4', 'C6', 'E-5', 'G#5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'G#5', 'G#4', 'C6', 'E-5', 'G#5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'G#5', 'G#4', 'C6', 'E-5', 'G#5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'G#5', 'G#4', 'C6', 'E-5', 'G#5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'G#5', 'G#4', 'C6', 'E-5', 'G#5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', 'C5', 'E-4', 'G#5', 'G#4', 'C6', 'E-5', 'G#5', 'G#4', 'C5', 'E-4', 'G#4', 'G#3', '8', '8.0.3', 'D2', 'E-2', '0.3', 'E-2', 'F2', 'E-2', 'F2', 'E-2', 'F2', 'E-2', 'F2', 'E-2', 'F2', 'E-2', 'F2', 'G#1', 'G#2', 'E-3', 'C4', 'G#4'])\n",
            " list(['C5', 'C5', 'E3', 'C#5', 'B4', 'G4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'B-3', 'C#5', 'B4', 'G4', 'C5', 'F#5', 'C4', 'G5', 'C5', 'F3', 'C#5', 'B4', 'G#4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'G#3', 'C#5', 'B4', 'G#4', 'C5', 'G#5', 'C4', 'F5', 'E5', 'G3', 'F5', 'E5', 'B-4', 'E-5', 'E5', 'E4', 'G5', 'B-5', 'C#4', 'C6', 'B-5', 'B-4', 'A5', 'B-5', 'E4', 'C#6', 'C6', 'G#3', 'C#6', 'C6', 'G#4', 'B5', 'C6', 'F4', 'G5', 'G#5', 'C4', 'B-5', 'G#5', 'G#4', 'G5', 'G#5', 'F4', 'E5', 'F5', 'B-2', 'G5', 'F5', 'C#4', 'E5', 'F5', 'G3', 'C5', 'C#5', 'F3', 'E-5', 'C#5', 'C#4', 'C5', 'C#5', 'G3', 'B4', 'C5', 'C3', 'C#5', 'C5', 'C4', 'B4', 'C5', 'G#3', 'G4', 'G#4', 'F3', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'G#3', 'F4', 'E4', 'C3', 'G4', 'B-4', 'E4', 'C#5', 'E5', 'C4', 'G5', 'B-5', 'G3', 'C#6', 'C6', 'E4', 'B-5', 'G#5', 'B-3', 'G5', 'B-5', 'F3', 'C6', 'G#5', 'F4', 'G5', 'G#5', 'C4', 'F5', 'E5', 'G#3', 'G5', 'F5', 'F4', 'E5', 'F5', 'C#4', 'C#5', 'C5', 'E3', 'C#5', 'B4', 'G4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'B-3', 'C#5', 'B4', 'G4', 'C5', 'F#5', 'C4', 'G5', 'C5', 'F3', 'C#5', 'B4', 'G#4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'G#3', 'C#5', 'B4', 'G#4', 'C5', 'G#5', 'C4', 'F5', 'E-5', 'G3', 'F5', 'E-5', 'B-4', 'D5', 'E-5', 'E-4', 'G5', 'B-5', 'C#4', 'C6', 'B-5', 'B-4', 'A5', 'B-5', 'E-4', 'F6', 'E-6', 'G#3', 'F6', 'E-6', 'G#4', 'D6', 'E-6', 'E-4', 'B5', 'C6', 'C4', 'C#6', 'C6', 'G#4', 'B5', 'C6', 'E-4', 'G5', 'G#5', 'C#3', 'B-5', 'G#5', 'F4', 'G5', 'G#5', 'B-3', 'E5', 'F5', 'G#3', 'G5', 'F5', 'F4', 'E5', 'F5', 'B-3', 'C#5', 'C5', 'E-3', 'C#5', 'B-4', 'E-4', 'G4', 'G#4', 'C4', 'B-4', 'C5', 'G#3', 'C#5', 'E-5', 'E-4', 'F5', 'G5', 'C4', 'G#5', 'G5', 'E-3', 'G#5', 'F5', 'E-4', 'E-5', 'F5', 'C#4', 'C#5', 'C5', 'G3', 'C#5', 'B-4', 'E-4', 'C5', 'F4', 'C#4', 'G4', 'G#4', 'G#2', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'E-3', 'A4', 'B-4', 'E3', 'C5', 'B-4', 'C#4', 'C5', 'F4', 'E-3', 'G4', 'G#4', 'G#2', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'E-3', 'A4', 'B-4', 'E3', 'C5', 'B-4', 'C#4', 'C5', 'F4', 'E-3', 'G4', 'G#4', 'G#2', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'E-3', 'B-4', 'C5', 'C3', 'C#5', 'C5', 'G3', 'B4', 'C5', 'B-3', 'C#5', 'C5', 'E-4', 'C#5', 'C5', 'B4', 'C5', 'C#5', 'C5', 'C#5', 'C5', 'C#5', 'C5', 'C#5', 'C5', 'E3', 'C#5', 'B4', 'G4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'B-3', 'C#5', 'B4', 'G4', 'C5', 'F#5', 'C4', 'G5', 'C5', 'F3', 'C#5', 'B4', 'G#4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'G#3', 'C#5', 'B4', 'G#4', 'C5', 'G#5', 'C4', 'F5', 'E5', 'G3', 'F5', 'E5', 'B-4', 'E-5', 'E5', 'E4', 'G5', 'B-5', 'C#4', 'C6', 'B-5', 'B-4', 'A5', 'B-5', 'E4', 'C#6', 'C6', 'G#3', 'C#6', 'C6', 'G#4', 'B5', 'C6', 'F4', 'G5', 'G#5', 'C4', 'B-5', 'G#5', 'G#4', 'G5', 'G#5', 'F4', 'E5', 'F5', 'B-2', 'G5', 'F5', 'C#4', 'E5', 'F5', 'G3', 'C5', 'C#5', 'F3', 'E-5', 'C#5', 'C#4', 'C5', 'C#5', 'G3', 'B4', 'C5', 'C3', 'C#5', 'C5', 'C4', 'B4', 'C5', 'G#3', 'G4', 'G#4', 'F3', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'G#3', 'F4', 'E4', 'C3', 'G4', 'B-4', 'E4', 'C#5', 'E5', 'C4', 'G5', 'B-5', 'G3', 'C#6', 'C6', 'E4', 'B-5', 'G#5', 'B-3', 'G5', 'B-5', 'F3', 'C6', 'G#5', 'F4', 'G5', 'G#5', 'C4', 'F5', 'E5', 'G#3', 'G5', 'F5', 'F4', 'E5', 'F5', 'C#4', 'C#5', 'C5', 'E3', 'C#5', 'B4', 'G4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'B-3', 'C#5', 'B4', 'G4', 'C5', 'F#5', 'C4', 'G5', 'C5', 'F3', 'C#5', 'B4', 'G#4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'G#3', 'C#5', 'B4', 'G#4', 'C5', 'G#5', 'C4', 'F5', 'E-5', 'G3', 'F5', 'E-5', 'B-4', 'D5', 'E-5', 'E-4', 'G5', 'B-5', 'C#4', 'C6', 'B-5', 'B-4', 'A5', 'B-5', 'E-4', 'F6', 'E-6', 'G#3', 'F6', 'E-6', 'G#4', 'D6', 'E-6', 'E-4', 'B5', 'C6', 'C4', 'C#6', 'C6', 'G#4', 'B5', 'C6', 'E-4', 'G5', 'G#5', 'C#3', 'B-5', 'G#5', 'F4', 'G5', 'G#5', 'B-3', 'E5', 'F5', 'G#3', 'G5', 'F5', 'F4', 'E5', 'F5', 'B-3', 'C#5', 'C5', 'E-3', 'C#5', 'B-4', 'E-4', 'G4', 'G#4', 'C4', 'B-4', 'C5', 'G#3', 'C#5', 'E-5', 'E-4', 'F5', 'G5', 'C4', 'G#5', 'G5', 'E-3', 'G#5', 'F5', 'E-4', 'E-5', 'F5', 'C#4', 'C#5', 'C5', 'G3', 'C#5', 'B-4', 'E-4', 'C5', 'F4', 'C#4', 'G4', 'G#4', 'G#2', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'E-3', 'A4', 'B-4', 'E3', 'C5', 'B-4', 'C#4', 'C5', 'F4', 'E-3', 'G4', 'G#4', 'G#2', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'E-3', 'A4', 'B-4', 'E3', 'C5', 'B-4', 'C#4', 'C5', 'F4', 'E-3', 'G4', 'G#4', 'G#2', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'E-3', 'B-4', 'C5', 'F#2', 'C#5', 'C5', 'E-4', 'B4', 'C5', 'B-3', 'C#5', 'E-5', 'F#3', 'F5', 'E-5', 'E-4', 'F5', 'E-5', 'B-3', 'C#5', 'C5', 'F3', 'C#5', 'C5', 'E-4', 'C#5', 'G4', 'A3', 'A4', 'B-4', 'B-2', 'C5', 'B-4', 'C#4', 'A4', 'B-4', 'F3', 'B4', 'C5', 'F#3', 'C#5', 'C5', 'E-4', 'C#5', 'G4', 'F3', 'A4', 'B-4', 'B-2', 'C5', 'B-4', 'C#4', 'A4', 'B-4', 'F3', 'B4', 'C5', 'F#3', 'C#5', 'C5', 'E-4', 'C#5', 'G4', 'F3', 'A4', 'B-4', 'B-2', 'C5', 'B-4', 'C#4', 'A4', 'B-4', 'F3', 'C5', 'D5', 'G#2', 'E-5', 'D5', 'C4', 'C#5', 'D5', 'F3', 'E-5', 'F5', 'D3', 'G5', 'F5', 'C4', 'G5', 'F5', 'F3', 'E-5', 'D5', 'G2', 'E-5', 'D5', 'B3', 'E-5', 'A4', 'F3', 'B4', 'C5', 'C3', 'C#5', 'C5', 'E4', 'B4', 'C5', 'B-3', 'G5', 'G#5', 'G#3', 'B-5', 'G#5', 'F4', 'G5', 'G#5', 'C4', 'E5', 'F5', 'C3', 'G5', 'F5', 'C#4', 'E-5', 'C#5', 'G#3', 'C5', 'B-4', 'F3', 'G#4', 'G4', 'C#4', 'F4', 'G4', 'G#3', 'G#4', 'G4', 'C3', 'C#5', 'C5', 'E4', 'B4', 'C5', 'B-3', 'G5', 'G#5', 'G#3', 'B-5', 'G#5', 'F4', 'G5', 'G#5', 'C4', 'E5', 'F5', 'C3', 'G5', 'F5', 'C#4', 'E-5', 'C#5', 'G#3', 'C5', 'B-4', 'F3', 'G#4', 'G4', 'C#4', 'F4', 'G4', 'G#3', 'G#4', 'G4', 'C3', 'G5', 'F5', 'E4', 'E5', 'C#5', 'G3', 'C5', 'B-4', 'F3', 'G#4', 'G4', 'C#4', 'F4', 'G4', 'G#3', 'G#4', 'G4', 'C3', 'G5', 'F5', 'E4', 'E5', 'C#5', 'G3', 'C5', 'B-4', 'F3', 'G#4', 'G4', 'C#4', 'F4', 'G4', 'G#3', 'G#4', 'G4', 'C3', 'C#5', 'C5', 'C4', 'B4', 'C5', 'E4', 'C#5', 'C5', 'C#5', 'C5', 'B4', 'C5', 'C#5', 'C5', 'C#5', 'C5', 'B4', 'C5', 'C#5', 'C5', 'C#5', 'C5', 'C#5', 'C5', 'C#5', 'C5', 'E3', 'C#5', 'B4', 'G4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'B-3', 'C#5', 'B4', 'G4', 'C5', 'F#5', 'C4', 'G5', 'C5', 'F3', 'C#5', 'B4', 'G#4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'G#3', 'C#5', 'B4', 'G#4', 'C5', 'G#5', 'C4', 'F5', 'E5', 'G3', 'F5', 'E5', 'B-4', 'E-5', 'E5', 'E4', 'G5', 'B-5', 'C#4', 'C6', 'B-5', 'B-4', 'A5', 'B-5', 'E4', 'C#6', 'C6', 'G#3', 'C#6', 'C6', 'G#4', 'B5', 'C6', 'F4', 'G5', 'G#5', 'C4', 'B-5', 'G#5', 'G#4', 'G5', 'G#5', 'F4', 'E5', 'F5', 'B-2', 'G5', 'F5', 'C#4', 'E5', 'F5', 'G3', 'C5', 'C#5', 'F3', 'E-5', 'C#5', 'C#4', 'C5', 'C#5', 'G3', 'B4', 'C5', 'C3', 'C#5', 'C5', 'C4', 'B4', 'C5', 'G#3', 'G4', 'G#4', 'F3', 'B-4', 'G#4', 'C4', 'G4', 'G#4', 'G#3', 'F4', 'E4', 'C3', 'G4', 'B-4', 'E4', 'C#5', 'E5', 'C4', 'G5', 'B-5', 'G3', 'C#6', 'C6', 'E4', 'B-5', 'G#5', 'B-3', 'G5', 'B-5', 'F3', 'C6', 'G#5', 'F4', 'G5', 'G#5', 'C4', 'F5', 'E5', 'G#3', 'G5', 'F5', 'F4', 'E5', 'F5', 'C#4', 'C#5', 'C5', 'E3', 'C#5', 'B4', 'G4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'B-3', 'C#5', 'B4', 'G4', 'C5', 'F#5', 'C4', 'G5', 'C5', 'F3', 'C#5', 'B4', 'G#4', 'C5', 'E-5', 'C4', 'C#5', 'C5', 'G#3', 'C#5', 'B4', 'G#4', 'C5', 'G#5', 'C4', 'F5', 'E5', 'G3', 'F5', 'E5', 'B-4', 'E-5', 'E5', 'E4', 'G5', 'B-5', 'C#4', 'C6', 'B-5', 'B-4', 'A5', 'B-5', 'E-4', 'C#6', 'C6', 'G#3', 'G#6', 'G6', 'G#4', 'F#6', 'F6', 'F4', 'E6', 'E-6', 'C4', 'D6', 'C#6', 'G#4', 'C6', 'B5', 'F4', 'B-5', 'A5', 'B-2', 'G#5', 'G5', 'C#4', 'F6', 'C#6', 'G3', 'B-5', 'G5', 'F3', 'F5', 'C#5', 'C#4', 'B-4', 'G4', 'G3', 'C#5', 'C5', 'C3', 'C#5', 'B4', 'F4', 'C5', 'G#4', 'C4', 'B-4', 'C5', 'G#3', 'C#5', 'C5', 'F4', 'C#5', 'F5', 'C4', 'E-5', 'C5', 'C3', 'C#5', 'B-4', 'E-4', 'C5', 'E-5', 'G3', 'C#5', 'B-4', 'F3', 'C5', 'G#4', 'C#4', 'B-4', 'C#5', 'E3', 'C5', 'F4', 'F3', 'C6', 'B-5', 'G#4', 'G#5', 'G5', 'C4', 'F5', 'E-5', 'B-3', 'C#5', 'C5', 'G4', 'B-4', 'C5', 'C#4', 'C#5', 'F4', 'F3', 'C6', 'B-5', 'G#4', 'G#5', 'G5', 'C4', 'F5', 'E-5', 'B-3', 'C#5', 'C5', 'G4', 'B-4', 'C5', 'C#4', 'E-5', 'C#5', 'C5', 'F3', 'C4', 'F4', 'G#4', 'C5', 'C5', 'C5', 'C5'])\n",
            " list(['C5', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'C4', 'G4', 'A3', 'C3', 'F4', 'F3', 'C5', 'F2', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'G4', 'D5', 'B-3', 'C3', 'C5', 'E3', 'G5', 'F2', 'C4', 'A4', 'B-3', 'C3', 'G4', 'E3', 'C5', 'F2', 'G4', 'D5', 'B-3', 'C3', 'C5', 'E3', 'G5', 'F2', 'A4', 'D5', 'A3', 'C3', 'C5', 'F3', 'A5', 'F2', 'F4', 'D5', 'A3', 'D3', 'C5', 'F3', 'F5', 'F2', 'D5', 'A5', 'B3', 'D3', 'G5', 'F3', 'D6', 'G2', 'G4', 'D5', 'E4', 'G3', 'C5', 'B-3', 'G5', 'C3', 'C5', 'A5', 'B-4', 'C4', 'G5', 'E4', 'C6', 'G3', 'C6', 'A6', 'E5', 'G4', 'G6', 'B-4', 'C7', 'C4', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'C4', 'G4', 'A3', 'C3', 'F4', 'F3', 'C5', 'F2', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'G4', 'D5', 'B-3', 'C3', 'C5', 'E3', 'G5', 'F2', 'C4', 'A4', 'B-3', 'C3', 'G4', 'E3', 'C5', 'F2', 'G4', 'D5', 'B-3', 'C3', 'C5', 'E3', 'G5', 'F2', 'A4', 'D5', 'A3', 'C3', 'C5', 'F3', 'A5', 'F2', 'A4', 'E5', 'B3', 'D3', 'D5', 'F3', 'A5', 'G2', 'G4', 'D5', 'E4', 'G3', 'C5', 'B-3', 'G5', 'C3', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'F5', 'D6', 'A4', 'C4', 'C6', 'F4', 'F6', 'F3', 'F6', 'D7', 'A5', 'C5', 'C7', 'F5', 'F4', 'F4', 'D5', 'C5', 'A3', 'C3', 'D5', 'F3', 'C5', 'F5', 'F2', 'C4', 'G4', 'F4', 'A3', 'C3', 'G4', 'F3', 'F4', 'C5', 'F2', 'F4', 'D5', 'C5', 'A3', 'C3', 'D5', 'F3', 'C5', 'F5', 'F2', 'G4', 'D5', 'C5', 'B-3', 'C3', 'D5', 'E3', 'C5', 'G5', 'F2', 'C4', 'A4', 'G4', 'B-3', 'C3', 'A4', 'E3', 'G4', 'C5', 'F2', 'G4', 'D5', 'C5', 'B-3', 'C3', 'D5', 'E3', 'C5', 'G5', 'F2', 'A4', 'D5', 'C5', 'A3', 'C3', 'D5', 'F3', 'C5', 'A5', 'F2', 'F4', 'D5', 'C5', 'A3', 'D3', 'D5', 'F3', 'C5', 'F5', 'F2', 'D5', 'A5', 'G5', 'B3', 'D3', 'A5', 'F3', 'G5', 'D6', 'G2', 'G4', 'D5', 'C5', 'E4', 'G3', 'D5', 'B-3', 'C5', 'G5', 'C3', 'C5', 'A5', 'G5', 'B-4', 'C4', 'A5', 'E4', 'G5', 'C6', 'G3', 'C6', 'A6', 'G6', 'E5', 'G4', 'A6', 'B-4', 'G6', 'C7', 'C4', 'F4', 'D5', 'C5', 'A3', 'C3', 'D5', 'F3', 'C5', 'F5', 'F2', 'C4', 'G4', 'F4', 'A3', 'C3', 'G4', 'F3', 'F4', 'C5', 'F2', 'F4', 'D5', 'C5', 'A3', 'C3', 'D5', 'F3', 'C5', 'F5', 'F2', 'G4', 'D5', 'C5', 'B-3', 'C3', 'D5', 'E3', 'C5', 'G5', 'F2', 'C4', 'A4', 'G4', 'B-3', 'C3', 'A4', 'E3', 'G4', 'C5', 'F2', 'G4', 'D5', 'C5', 'B-3', 'C3', 'D5', 'E3', 'C5', 'G5', 'F2', 'A4', 'D5', 'C5', 'A3', 'C3', 'D5', 'F3', 'C5', 'A5', 'F2', 'A4', 'E5', 'D5', 'B3', 'D3', 'E5', 'F3', 'D5', 'A5', 'G2', 'G4', 'D5', 'C5', 'B-3', 'C3', 'D5', 'E3', 'C5', 'G5', 'C2', 'F4', 'D5', 'C5', 'A3', 'C3', 'D5', 'F3', 'C5', 'F5', 'F2', 'F5', 'D6', 'C6', 'A4', 'C4', 'D6', 'F4', 'C6', 'F6', 'F3', 'F6', 'D7', 'C7', 'A5', 'C5', 'D7', 'F5', 'C7', 'F4', 'G4', 'D5', 'E4', 'G3', 'C5', 'C4', 'G5', 'C3', 'G4', 'D5', 'E-4', 'G3', 'C5', 'C4', 'G5', 'C3', 'A4', 'D5', 'F4', 'C4', 'C5', 'E-4', 'A5', 'F3', 'F4', 'C5', 'E-4', 'F3', 'B-4', 'B-3', 'B-5', 'B-2', 'F4', 'C5', 'D4', 'F3', 'B-4', 'B-3', 'F5', 'B-2', 'F4', 'C5', 'D4', 'F3', 'B-4', 'B-3', 'F5', 'B-2', 'F4', 'C5', 'C#4', 'F3', 'B-4', 'B-3', 'F5', 'B-2', 'F4', 'C5', 'C#4', 'F3', 'B-4', 'B-3', 'F5', 'B-2', 'G4', 'C5', 'C#4', 'E-3', 'B-4', 'B-3', 'G5', 'E-2', 'E-4', 'B-4', 'C#4', 'E-3', 'G#4', 'G#3', 'G#5', 'G#2', 'E-4', 'B-4', 'C4', 'E-3', 'G#4', 'G#3', 'E-5', 'G#2', 'E-4', 'B-4', 'C4', 'E-3', 'G#4', 'G#3', 'E-5', 'G#2', 'E-4', 'B-4', 'C4', 'E-3', 'G#4', 'G#3', 'E-5', 'G2', 'E-4', 'B-4', 'C4', 'E-3', 'G#4', 'G#3', 'E-5', 'G2', 'E-4', 'B-4', 'C4', 'E-3', 'G#4', 'G#3', 'F5', 'G2', 'E-4', 'G#4', 'C4', 'D3', 'G4', 'G3', 'E-5', 'G2', 'D4', 'G#4', 'B3', 'D3', 'G4', 'G3', 'D5', 'G2', 'D4', 'G#4', 'B3', 'D3', 'G4', 'G3', 'D5', 'G2', 'E-4', 'B-4', 'C4', 'E-3', 'G#4', 'G#3', 'E-5', 'G2', 'E-5', 'B-5', 'C5', 'E-4', 'G#5', 'G#4', 'E-6', 'G3', 'E-5', 'B-5', 'C5', 'E-4', 'G#5', 'G#4', 'F6', 'G3', 'E-5', 'G#5', 'C5', 'D4', 'G5', 'G4', 'E-6', 'G3', 'D5', 'G#5', 'B4', 'D4', 'G5', 'G4', 'D6', 'G3', 'D5', 'G#5', 'B4', 'D4', 'G5', 'G4', 'D6', 'G3', 'D5', 'G5', 'B4', 'D4', 'F#5', 'F#4', 'D6', 'F#3', 'D4', 'G4', 'B3', 'D3', 'F#4', 'F#3', 'D5', 'F#2', 'E4', 'G4', 'C#4', 'D3', 'F#4', 'F#3', 'E5', 'F#2', 'D4', 'G4', 'B3', 'C#3', 'F#4', 'F#3', 'D5', 'F#2', 'C#4', 'G4', 'B-3', 'C#3', 'F#4', 'F#3', 'C#5', 'F#2', 'C#4', 'G4', 'B-3', 'C#3', 'F#4', 'F#3', 'C#5', 'F#2', 'B3', 'G4', 'G3', 'D3', 'F#4', 'F#3', 'B4', 'F#2', 'B3', 'G4', 'G3', 'D3', 'F#4', 'F#3', 'B4', 'F#2', 'C#4', 'G4', 'G3', 'E3', 'F#4', 'F#3', 'C#5', 'F#2', 'B3', 'G4', 'G3', 'D3', 'F#4', 'F#3', 'B4', 'F#2', 'B-3', 'G4', 'G3', 'C#3', 'F#4', 'F#3', 'B-4', 'F#2', 'B-3', 'G#4', 'F#3', 'C#3', 'F#4', 'E3', 'B-4', 'F#2', 'B3', 'G#4', 'E-3', 'F#4', 'F#2', 'B4', 'B1', 'F#3', 'C#4', 'E-3', 'B3', 'F#2', 'F#4', 'B1', 'B3', 'G#4', 'E-3', 'F#4', 'F#2', 'B4', 'B1', 'C#4', 'G#4', 'E3', 'F#4', 'F#2', 'C#5', 'B1', 'F#3', 'E-4', 'E3', 'C#4', 'F#2', 'F#4', 'B1', 'C#4', 'G#4', 'E3', 'F#4', 'F#2', 'C#5', 'B1', 'E-4', 'G#4', 'E-3', 'F#4', 'F#2', 'E-5', 'B1', 'B3', 'G#4', 'E-3', 'F#4', 'F#2', 'B4', 'B1', 'G#4', 'E-5', 'F3', 'C#5', 'B2', 'G#5', 'C#2', 'C#4', 'G#4', 'B-3', 'C#3', 'F#4', 'E3', 'C#5', 'F#2', 'F#4', 'E-5', 'E4', 'F#3', 'C#5', 'B-3', 'F#5', 'C#3', 'F#5', 'E-6', 'B-4', 'C#4', 'C#6', 'E4', 'F#6', 'F#3', 'B3', 'G#4', 'E-3', 'F#4', 'F#2', 'B4', 'B1', 'F#3', 'C#4', 'E-3', 'B3', 'F#2', 'F#4', 'B1', 'B3', 'G#4', 'E-3', 'F#4', 'F#2', 'B4', 'B1', 'C#4', 'G#4', 'E3', 'F#4', 'F#2', 'C#5', 'B1', 'F#3', 'E-4', 'E3', 'C#4', 'F#2', 'F#4', 'B1', 'C#4', 'G#4', 'E3', 'F#4', 'F#2', 'C#5', 'B1', 'E-4', 'G#4', 'E-3', 'F#4', 'F#2', 'E-5', 'B1', 'E-4', 'B-4', 'F3', 'G#4', 'B2', 'E-5', 'C#2', 'C#4', 'G#4', 'B-3', 'F#4', 'E3', 'C#5', 'F#2', 'B3', 'G#4', 'E-3', 'F#4', 'F#2', 'B4', 'B1', 'B4', 'G#5', 'E-4', 'F#5', 'F#3', 'B5', 'B2', 'B5', 'G#6', 'E-5', 'F#6', 'F#4', 'B6', 'B3', 'C#4', 'G#4', 'B-3', 'F#4', 'C#3', 'C#5', 'F#2', 'C#4', 'G#4', 'A3', 'F#4', 'C#3', 'C#5', 'F#2', 'E-4', 'G#4', 'A3', 'F#4', 'B2', 'E-5', 'F#2', 'E4', 'A4', 'A3', 'G#4', 'B2', 'E5', 'E2', 'B3', 'F#4', 'G#3', 'E4', 'B2', 'B4', 'E2', 'B3', 'F#4', 'G#3', 'E4', 'B2', 'B4', 'E2', 'B3', 'F#4', 'G3', 'E4', 'B2', 'B4', 'E2', 'B3', 'F#4', 'G3', 'E4', 'B2', 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'C4', 'G#5', 'C3', 'G4', 'C#5', 'G3', 'E4', 'C5', 'C4', 'G5', 'C3', 'G4', 'C#5', 'G3', 'E4', 'C5', 'C4', 'G5', 'C3', 'F4', 'D5', 'G3', 'D4', 'C5', 'C4', 'F5', 'C3', 'F4', 'D5', 'G3', 'D4', 'C5', 'C4', 'F5', 'C3', 'G4', 'D5', 'G3', 'E4', 'C5', 'C4', 'G5', 'C3', 'F4', 'D5', 'G3', 'D4', 'C5', 'C4', 'F5', 'C3', 'E4', 'D5', 'G3', 'D4', 'C5', 'C4', 'E5', 'C3', 'E4', 'D5', 'G3', 'C4', 'C5', 'B-3', 'E5', 'C3', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'C4', 'G4', 'A3', 'C3', 'F4', 'F3', 'C5', 'F2', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'G4', 'D5', 'B-3', 'C3', 'C5', 'E3', 'G5', 'F2', 'C4', 'A4', 'B-3', 'C3', 'G4', 'E3', 'C5', 'F2', 'G4', 'D5', 'B-3', 'C3', 'C5', 'E3', 'G5', 'F2', 'A4', 'D5', 'A3', 'C3', 'C5', 'F3', 'A5', 'F2', 'F4', 'D5', 'A3', 'D3', 'C5', 'F3', 'F5', 'F2', 'D5', 'A5', 'B3', 'D3', 'G5', 'F3', 'D6', 'G2', 'G4', 'D5', 'E4', 'G3', 'C5', 'B-3', 'G5', 'C3', 'C5', 'A5', 'B-4', 'C4', 'G5', 'E4', 'C6', 'G3', 'C6', 'A6', 'E5', 'G4', 'G6', 'B-4', 'C7', 'C4', 'F4', 'D5', 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'F4', 'C6', 'G6', 'A5', 'C5', 'F6', 'F5', 'C7', 'F4', 'B5', 'G6', 'A5', 'B4', 'F#6', 'E-5', 'B6', 'B3', 'B5', 'F6', 'G#5', 'B4', 'E6', 'D5', 'B6', 'E4', 'A5', 'F6', 'G5', 'A4', 'E6', 'C#5', 'A6', 'A3', 'A5', 'E6', 'D5', 'G4', 'D6', 'B-4', 'A6', 'B-3', 'G5', 'D6', 'E5', 'G4', 'C6', 'B-4', 'G6', 'C4', 'F5', 'D6', 'A4', 'C4', 'C6', 'F4', 'F6', 'F3', 'B4', 'G5', 'A4', 'B3', 'F#5', 'E-4', 'B5', 'B2', 'B4', 'F5', 'G#4', 'B3', 'E5', 'D4', 'B5', 'E3', 'A4', 'F5', 'G4', 'A3', 'E5', 'C#4', 'A5', 'A2', 'A4', 'E5', 'D4', 'G3', 'D5', 'B-3', 'A5', 'B-2', 'G4', 'D5', 'E4', 'G3', 'C5', 'B-3', 'G5', 'C3', 'F4', 'D5', 'A3', 'C3', 'C5', 'F3', 'F5', 'F2', 'C5', 'G5', 'A3', 'C3', 'F5', 'F3', 'C6', 'F2', 'C5', 'A5', 'B-3', 'C3', 'G5', 'E3', 'C6', 'F2', 'C5', 'G5', 'A3', 'C3', 'F5', 'F3', 'C6', 'F2', 'C5', 'G5', 'A3', 'C3', 'F5', 'F3', 'C6', 'F2', 'C5', 'A5', 'B-3', 'C3', 'G5', 'E3', 'C6', 'F2', 'C5', 'G5', 'A3', 'C3', 'F5', 'F3', 'C6', 'F2', 'C5', 'G5', 'F5', 'C6', 'C5', 'G5', '5.9.0', 'F5', 'C6', 'C5', 'G5', 'F5', '5.9.0', 'G5', 'F5', 'C6', 'C5', 'G5', 'F5', 'G5', 'F5', 'C6', 'C5', 'G5', 'F5', '5.9.0', 'G5', 'F5', 'C6', 'C5', 'G5', 'F5', '5.9.0', 'G5', 'F5', 'G5', 'C6', 'F5', 'G5', 'F5', 'C5', 'G5', 'F5', 'G5', 'F5', 'G5', 'C6', 'F5', 'G5', 'F5', 'C5', 'G5', 'F5', 'G5', 'F5', 'G5', 'C6', 'F5', 'G5', 'F5', 'C5', 'F5', 'G5', 'F5', 'G5', 'F5', 'G5', 'E5', 'F5', 'G#5', 'B-5', 'A5', 'B5', 'D6', 'C6', 'E6', 'G6', 'F6', 'G#6', 'B-6', 'A6', 'B6', 'D7', 'C7', '9.0', '0', '5.9', '5', '5.9', '0.5'])\n",
            " list(['E3', 'A2', '4.9', '0.4', 'C3', '4.9', '4.9', 'B2', '9.2', '2.5', 'E3', '4.8', '11.4', 'C3', '4.9', '4.9', 'A2', '0.4', '4.9', 'D3', '0.5', '5.9', 'D3', '5.11', '5.8', 'C3', '5.9', '5.9', 'C3', '4.9', '4.9', 'B2', '9.2', '2.5', 'E2', '4.8', '11.2.4', 'A2', '0.4', '0.4', 'B2', '4.8', '2.4', 'C3', '4.9', '4', 'A2', '0.4', '0.4', 'E2', '11.4', '2.4', 'A2', '4.9', '0.4', 'B2', '11.4', '2.4.8', 'A2', '4.9', '9.0.4', 'E2', '11.4', '2.4.8', 'A2', '4.9', '9.0.4', 'B2', '11.4', '2.4.8', 'A2', '4.9', '9.0.4', 'G2', '11.4', '4.7', 'A2', '0.4', '4.9', 'B2', '7.11', '11.4', 'B2', '11.3', 'E3', '4.8.11', '11.4', 'E-3', '0.6', 'D3', '5.11', 'E2', '2.4.8', '11.4', 'A2', '9.0.4', '4.9', 'C3', '4.9', 'A5', '4.9', 'B2', '9.2', '2.5', 'E3', '4.8', '11.4', 'C3', '4.9', '4.9', 'A2', '0.4', 'C6', '4.9', 'D3', '0.5', '5.9', 'D3', '5.11', 'B5', '5.8', 'C3', 'A5', '5.9', '5.9', 'C3', 'E6', '4.9', '4.9', 'B2', '9.2', 'D6', '2.5', 'E2', 'E6', '4.8', '11.2.4', 'A2', 'C6', '0.4', '0.4', 'B2', 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'1.5', 'G#2', '3.8', 'C5', '0.3', 'G#2', '8.1', 'B-4', '10.1', 'G#2', 'C4', 'G#4', '8.0', 'G#2', '6.8', 'E-5', '3.6', 'G#2', '5.8', 'C#5', '1.5', 'G#2', '8.1', 'B-4', '10.1', 'G#2', '5.8', 'C#5', '1.5', 'G#2', '3.8', 'C5', '0.3', 'G#2', '6.8', 'E-5', '3.6', 'G#2', '5.8', 'C#5', '1.5', 'G#2', '3.8', 'C5', '0.3', 'A2', '0.6', 'F5', 'G#2', '0.6', 'E-5', '3.6', 'G#2', '3.6', 'C5', '0.6', 'B-2', '6.10', 'E-5', '3.6', 'B-2', '5.10', 'D5', '2.5', 'B2', '2.8', 'G#5', '5.8', 'B2', '2.7', 'G5', '5.7', 'C3', '4.10', 'C5', '7.0', 'F2', '5.8', '0.5', 'B2', '2.8', '5.8', 'B2', '2.7', '5.7', 'C3', '7.0', 'F2', '5.8', '0.5', 'E-2', '7.0', '0.3', 'F2', '8.0', '0.5', 'G2', '3.7', '7.0', 'G2', '2.5.7', '7.11', 'C3', '3.7', 'C5', '7.0', 'F2', '5.8', '0.5', 'C3', '3.7', '7.0', 'F2', '5.8', '0.5', 'E-2', '7.0', '0.3', 'F2', '8.0', '0.5', 'G2', '3.7', '7.0', 'G2', '5.7', 'D5', '7.11', 'C3', '3.7', 'C5', '7.0', 'F2', '5.8', '0.5', 'C3', '3.7', '7.0', 'F2', '5.8', '0.5', 'E-2', '7.0', '0.3', 'F2', '8.0', '0.5', 'G#2', '0.5', '5.8.0', 'G2', '7.11.2', '2.7', 'C3', '4.10', '7.0', 'F3', '8.0', '0.5', 'G3', '3.7', '0.3', 'G2', '5.7', 'B4', '2.7', 'C3', '4.7', 'C5', '7.0', 'B2', '5.8', 'C#5', '8.1', 'C3', '4.7', 'C5', '7.0', 'B2', '5.8', 'D5', '2.8', 'C3', '4.7', 'C5', '7.0', 'B2', '5.8', 'C#5', '8.1', 'C3', '4.7', 'C5', '7.0', 'B2', '5.8', 'D5', '2.8', 'C3', '4.7', 'C5', '7.0', 'B2', '5.8', 'D5', '2.8', 'C3', '4.7', 'C5', '7.0', 'B2', '5.8', 'C#5', '8.1', 'C3', '4.7', 'C5', '7.0', 'B2', '5.8', 'D5', '2.8', 'B2', '6.9', 'E-5', '3.9', 'E2', '4.8', 'E5', '11.2.4', 'A2', '4.9', 'E5', '0.4', 'C3', 'A5', '4.9', '4.9', 'B2', '9.2', '2.5', 'E3', '4.8', '11.4', 'C3', '4.9', '4.9', 'A2', 'C6', '4.9', '4.9', 'D3', '0.5', '5.9', 'D3', '5.11', 'B5', '5.8', 'C3', 'A5', '5.9', '5.9', 'C3', '4.9', '4.9', 'B2', '9.2', '2.5', 'E2', '4.8', '11.2.4', 'A2', '0.4', '0.4', 'B2', '4.8', '2.4', 'C3', '4.9', '4', 'A2', '0.4', '0.4', 'E2', '11.4', '2.4', 'A2', '4.9', '0.4', 'B2', '11.4', '2.4.8', 'A2', '4.9', '9.0.4', 'E2', '11.4', '2.4.8', 'A2', '4.9', '9.0.4', 'B2', '11.4', '2.4.8', 'A2', '4.9', '9.0.4', 'G2', '11.4', '4.7', 'A2', '0.4', '4.9', 'B2', '7.11', '11.4', 'B2', '11.3', 'E3', '4.8.11', '11.4', 'E-3', '0.6', 'D3', '5.11', 'E2', '2.4.8', '11.4', 'A2', '9.0.4', '4.9', 'C3', '4.9', 'A5', '4.9', 'B2', '9.2', '2.5', 'E3', '4.8', 'G#5', '11.4', 'C3', 'A5', '4.9', '4.9', 'A2', '0.4', 'C6', '4.9', 'D3', '0.5', '5.9', 'D3', '5.11', 'B5', '5.8', 'C3', 'A5', '5.9', '5.9', 'C3', 'E6', '4.9', '4.9', 'B2', '9.2', 'D6', '2.5', 'E2', 'E6', '4.8', '11.2.4', 'A2', '0.4', '9.0.4', 'B2', 'B5', '11.4', '2.4.8', 'C3', 'A5', '4.9', '4.9', 'A2', '0.4', '9.0.4', 'E2', '11.4', 'B5', '2.4', 'A2', '4.9', 'A5', '0.4', 'B2', '11.4', 'E5', '2.4.8', 'A2', '4.9', 'A5', '9.0.4', 'E2', '11.4', 'B5', '2.4', 'A2', '4.9', 'A5', '0.4', 'B2', 'E5', '11.4', '2.4', 'C#3', '7.10', '4.10', 'D3', '6.10', '10.2', 'F3', '5.10', '10.2', 'D2', '10.2.5', '5.10', 'E2', '8.11.2', '11.4', 'A2', 'A4', 'C4', '4.9', 'D3', '2.5', '5.9', 'A2', '0.4', '4.9', 'D3', '2.5', '5.9', 'A2', '0.4', '4.9', 'C2', '4.9', '4.9', 'D2', '5.10', 'D5', '5.10', 'E2', '8.11.2', '11.4', 'A2', 'A4', 'C4', '4.9', 'D3', '2.5', '5.9', 'A2', '0.4', '4.9', 'D3', '2.5', '5.9', 'A2', '0.4', '4.9', 'C3', '4.9', 'E5', '0.4', 'B2', '3.9', 'A5', '5.11', 'E3', '4.8', 'G#5', '11.4', 'A2', '1.7', 'G5', '4.9', 'D3', '2.6', 'F#5', '9.2', 'D2', '5.10', 'F5', '5.10', 'E2', '8.11.2', '11.4', 'A2', '0.4', 'A4', '4.9', 'D3', 'F4', 'D4', '5.9', 'D2', '10.2', '5.10', 'E2', '8.11.2', '11.4', 'F2', '9.0', '5.9', 'C2', '4.9', '9.0', 'D2', '10.2.5', '10.2', 'E2', '2.8', '11.4', 'A2', 'A4', 'C4', '4.9', 'D3', '2.5', '5.9', 'A2', 'C5', '0.4', '4.9', 'D3', 'B-4', '2.5', '5.9', 'A2', '0.4', 'A4', '4.9', 'D3', '2.5', '5.9', 'A2', 'C5', '0.4', '4.9', 'A2', '10.2.5', '10.2', 'A2', 'D3', 'F3', 'B-3', 'D4', 'F4', 'B-4', 'D5', 'C#5', 'A2', 'E3', 'A3', 'C#4', 'E4', 'A4'])\n",
            " list(['E4', 'E4', 'E4', 'E4', 'F4', 'E4', 'C4', 'E4', '0.4.7', 'C3', '0.4.7', 'C3', '0.4.7', 'C3', '0.4.7', 'C3', '5.9.0', 'F2', '0.4.7', 'C2', '9.0', 'F2', '7.0', 'E4', 'C2', '2.8', 'B1', 'A1', 'C7', 'E7', 'A6', 'E-7', 'C7', 'D7', '9.0.4', 'A6', 'C#7', 'A6', 'C7', 'E6', '9.0.4', 'B6', '9.0.4', 'E6', 'B-6', 'C6', 'A6', 'E6', 'G#6', '5.9.0', 'C6', 'G6', 'C6', 'F#6', 'A5', 'F6', '9.0.4', 'C6', 'E6', 'A5', 'E-6', 'C6', 'D6', '9.0.4', 'A5', 'C#6', 'A5', 'C6', 'E5', 'B5', '9.0.4', 'E5', 'B-5', 'C5', 'A5', 'E5', 'G#5', 'C5', 'G5', 'C5', 'F#5', 'A4', 'F5', 'A1', 'C5', 'E5', 'A4', 'E-5', 'C5', 'D5', '4.9', 'A4', 'C#5', 'A4', 'C5', 'E4', '4.9', 'B4', '4.9', 'E4', 'B-4', 'C4', 'A4', 'E4', 'G#4', '5.9', 'C4', 'G4', 'C4', 'F#4', 'A3', 'F4', '4.9', 'C4', 'E4', 'A3', 'E-4', 'C4', 'D4', 'A1', 'A3', 'C#4', 'A3', 'C4', 'E3', 'B3', 'E2', 'E3', 'B-3', 'C3', 'A3', 'E3', 'G#3', 'C3', 'A3', 'E3', 'C4', 'F3', 'E4', 'G#1', 'B3', 'D4', 'F4', 'E5', 'B4', 'D5', '2.5', 'F5', 'E6', 'B5', 'D6', 'F5', 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'G#3', 'C6', 'F3', 'D5', 'B3', 'B5', 'F3', 'F5', 'B3', 'B-5', 'G#3', 'D5', 'D4', 'A5', 'G#3', 'F5', 'D4', 'G#5', 'B3', 'D5', 'F4', 'G5', 'B3', 'D5', 'F4', 'F#5', 'D4', 'B4', 'G#4', '2.5.8', '5.11', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'D4', 'E5', 'E4', 'G#4', 'B3', 'F5', 'F4', 'D5', 'E4', 'E5', 'E-4', 'G#4', 'D4', 'F5', 'C#4', 'D5', 'C4', 'E5', 'B3', 'G#4', 'B-3', 'F5', 'A3', 'D5', 'G#3', 'E5', 'G3', 'G#4', 'F#3', 'F5', 'F3', 'D5', 'E3', 'E5', 'E-3', 'G#4', 'D3', 'F5', 'C#3', 'D5', 'C3', 'E5', 'B2', 'G#4', 'B-2', 'F5', 'A2', 'D5', 'G#2', 'E5', 'G2', 'G#4', 'F#2', 'F5', 'F2', 'D5', 'E2', 'E5', 'E-2', 'G#4', 'E2', 'F5', 'F2', 'D5', 'E2', 'E5', 'E-2', 'G#5', 'E2', 'F6', 'F2', 'D6', 'E2', 'E6', 'E-2', 'G#6', 'E2', 'F2', 'D7', 'E2', 'E7', 'E-2', 'G#6', 'E2', 'F2', 'D7', 'E2', 'E7', 'E-2', 'G#6', 'E2', 'F2', 'D7', 'E2', 'E7', 'E-2', 'G#6', 'E2', 'A1', 'C7', 'E7', 'A6', 'E-7', 'C7', 'D7', '9.0.4', 'A6', 'C#7', 'A6', 'C7', 'E6', '9.0.4', 'B6', '9.0.4', 'E6', 'B-6', 'C6', 'A6', 'E6', 'G#6', '5.9.0', 'C6', 'G6', 'C6', 'F#6', 'A5', 'F6', '9.0.4', 'C6', 'E6', 'A5', 'E-6', 'C6', 'D6', '9.0.4', 'A5', 'C#6', 'A5', 'C6', 'E5', 'B5', '9.0.4', 'E5', 'B-5', 'C5', 'A5', 'E5', 'G#5', 'C5', 'G5', 'C5', 'F#5', 'A4', 'F5', 'A1', 'C5', 'E5', 'A4', 'E-5', 'C5', 'D5', '4.9', 'A4', 'C#5', 'A4', 'C5', 'E4', '4.9', 'B4', '4.9', 'E4', 'B-4', 'C4', 'A4', 'E4', 'G#4', '5.9', 'C4', 'G4', 'C4', 'F#4', 'A3', 'F4', '4.9', 'C4', 'E4', 'A3', 'E-4', 'C4', 'D4', 'A1', 'A3', 'C#4', 'A3', 'C4', 'E3', 'B3', 'E2', 'E3', 'B-3', 'C3', 'A3', 'E3', 'G#3', 'C3', 'A3', 'E3', 'C4', 'F3', 'E4', 'G#1', 'B3', 'D4', 'F4', 'E5', 'B4', 'D5', '2.5', 'F5', 'E6', 'B5', 'D6', 'F5', '2.5', 'D6', '0.5', 'A5', 'C6', 'F5', 'D5', 'A4', 'C5', '9', 'F4', 'D4', 'A3', 'C4', 'F3', 'E4', '8', 'B3', 'D4', 'F4', 'E5', 'B4', 'D5', '2.7', 'F5', 'E6', '2.5', 'B5', 'D6', '2.4', 'E5', 'D6', '0.4', 'A5', 'C6', 'E5', 'D5', 'A4', 'C5', '9', 'E4', 'D4', 'A3', 'C4', 'B3', 'A4', '11', 'E4', 'G#4', 'B4', 'A5', 'E5', 'G#5', '8.11', 'E4', 'B5', 'A6', 'G#4', 'E6', 'G#6', 'C#5', 'B5', 'G#6', 'E-6', 'F#6', 'B5', 'G#5', 'E-5', 'F#5', '11', 'B4', 'G#4', 'E-4', 'F#4', 'B3', 'A4', '4', 'E4', 'G#4', 'B4', 'A5', 'E5', 'G#5', '8.11', 'B5', 'A6', '7.10', 'E6', 'G#6', '8.11', 'B5', 'E7', '4.8', 'A1', 'C7', 'E7', 'A6', 'E-7', 'C7', 'D7', '9.0.4', 'A6', 'C#7', 'A6', 'C7', 'E6', '9.0.4', 'B6', '9.0.4', 'E6', 'B-6', 'C6', 'A6', 'E6', 'G#6', '5.9.0', 'C6', 'G6', 'C6', 'F#6', 'A5', 'F6', '9.0.4', 'C6', 'E6', 'A5', 'E-6', 'C6', 'D6', '9.0.4', 'A5', 'C#6', 'A5', 'C6', 'E5', 'B5', '9.0.4', 'E5', 'B-5', 'C5', 'A5', 'E5', 'G#5', 'C5', 'G5', 'C5', 'F#5', 'A4', 'F5', 'G1', 'C5', 'E5', 'A4', 'E-5', 'C5', 'D5', '4.7', 'A4', 'C#5', 'A4', 'C5', 'E4', '4.7', 'B4', 'G2', 'E3', 'E4', 'B-4', 'C4', 'A4', 'E4', 'G#4', 'F3', 'C4', 'G4', 'C4', 'F#4', 'A3', 'F4', 'E3', 'C4', 'E4', 'A3', 'E-4', 'C4', 'D4', 'C3', 'A3', 'C#4', 'A3', 'C4', 'E3', 'B3', 'F2', 'F3', 'A3', 'C3', 'G#3', 'F3', 'A3', 'E2', 'C3', 'B3', 'E3', 'C4', 'C3', 'C4', 'D2', 'F3', 'B3', 'B3', 'C5', 'F4', 'B4', '5.9', 'B4', 'C6', 'C#3', 'F5', 'B5', 'D3', 'B5', 'C7', '3.6.9', 'F#6', 'B6', 'B5', 'C6', 'F#5', 'B5', 'E-2', 'B4', 'C5', 'F#4', 'B4', 'B3', 'D5', 'E2', 'G4', 'C#5', 'C#5', 'D6', 'F5', 'C#6', '7.10', 'C#6', 'D7', 'E-3', 'G6', 'C#7', 'E3', 'C#6', 'E-7', '10.2.5', 'B-6', 'D7', 'D6', 'E-6', 'B-5', 'D6', '5', 'D5', 'E-5', 'B-4', 'D5', 'D4', 'E5', '5', 'A4', 'E-5', 'E-4', 'E5', 'A4', 'E-5', '5', 'E-5', 'E6', 'A5', 'E-6', 'E-6', '5', 'E7', '5', 'A6', 'E-7', 'E-6', 'E6', 'A5', 'E-6', 'E-5', 'E6', 'A5', 'E-6', 'E-6', 'E7', '5', 'A6', 'E-7', 'E-6', 'E6', 'A5', 'E-6', '0', 'E-5', 'E6', 'A5', 'E-6', 'E-6', 'E7', '5', 'A6', 'E-7', 'E-6', 'E7', 'A6', 'E-7', 'E-6', 'E7', 'A6', 'E-7', 'E-6', 'E7', 'F2', 'B6', 'B2', 'E-7', 'A2', 'A6', 'E-3', 'E7', 'A2', 'B6', 'E-3', 'E-7', 'B2', 'A6', 'F3', 'E7', 'B2', 'B6', 'F3', 'E-7', 'E-3', 'A6', 'A3', 'E7', 'E-3', 'B6', 'A3', 'E-7', 'F3', 'A6', 'B3', 'E7', 'F3', 'B6', 'B3', 'E-7', 'A3', 'A6', 'E-4', 'E7', 'A3', 'B6', 'E-4', 'E-7', 'B3', 'A6', 'F4', 'E7', 'B3', 'B6', 'F4', 'E-7', 'E-4', 'A6', 'A4', 'E7', 'E-4', 'B6', 'A4', 'E-7', 'F4', 'A6', 'B4', 'E7', 'F4', 'B6', 'B4', 'E-7', 'A4', 'A6', 'E-5', 'E7', 'A4', 'B6', 'E-5', 'E-7', 'B4', 'A6', 'F5', 'E7', 'B4', 'B6', 'F5', 'E-7', 'E-5', 'A6', 'A5', 'E7', 'E-5', 'B6', 'A5', 'E-7', 'F5', 'A6', 'B5', '9.0.4', 'C7', 'E7', 'A6', 'D7', 'D6', 'A6', 'A5', 'C7', 'C6', 'E6', 'E5', 'B6', 'B5', 'E6', 'E5', 'A6', 'A5', 'C6', 'C5', 'F6', 'F5', 'C6', 'C5', 'E6', 'E5', 'A5', 'A4', 'D6', 'D5', 'A5', 'A4', 'C6', 'C5', 'E5', 'E4', 'B5', 'B4', 'E5', 'E4', 'A5', 'A4', 'C5', 'C4', 'F5', 'F4', 'C5', 'C4', 'E5', 'E4', 'A4', 'A3', 'D5', 'D4', 'A4', 'A3', 'C5', 'C4', 'E4', 'E3', 'B4', 'B3', 'E4', 'E3', 'A4', 'A3', 'C4', 'C3', '4', '4', 'A6', 'A1', 'E6', 'E2', 'G#6', 'C6', 'C3', 'G6', 'E6', 'E2', 'F#6', 'A1', 'C6', 'E2', 'F6', 'C6', 'C3', 'E6', 'A5', 'E2', 'E-6', 'A1', 'C6', 'E2', 'D6', 'A5', 'C3', 'C#6', 'A5', 'E2', 'C6', 'A1', 'E5', 'E2', 'B5', 'E5', 'C3', 'B-5', 'C5', 'E2', 'A5', 'A1', 'E5', 'E2', 'G#5', 'C5', 'C3', 'G5', 'E5', 'E2', 'F#5', 'C5', 'E2', 'F5', 'C5', 'C3', 'E5', 'A4', 'E2', 'E-5', 'A1', 'C5', 'E2', 'D5', 'A4', 'C3', 'C#5', 'A4', 'E2', 'C5', 'C3', 'E4', 'E2', 'B4', 'E4', 'C3', 'B-4', 'C4', 'E2', 'A4', 'A1', 'E4', 'E2', 'G#4', 'C4', 'C3', 'G4', 'E4', 'E2', 'F#4', 'A1', 'C4', 'E2', 'F4', 'C4', 'C3', 'E4', 'A3', 'E2', 'E-4', 'A1', 'C4', 'E2', 'D4', 'A3', 'C3', 'C#4', 'A3', 'E2', 'C4', 'A1', 'E3', 'E2', 'B3', 'E3', 'C3', 'B-3', 'C3', 'E2', 'A3', 'A2', 'E3', 'G#3', 'G#2', 'C3', 'G3', 'G2', 'E3', 'F#3', 'F#2', 'C3', 'F3', 'F2', 'C3', 'E3', 'E2', 'A2', 'E-3', 'E-2', 'C3', 'D3', 'D2', 'A2', 'C#3', 'C#2', 'A2', 'C3', 'C2', 'E2', 'B2', 'B1', 'E2', 'B-2', 'B-1', 'E2', 'A2', 'A1', '9.0.4', '4.9', '9.0.4', '4.9', '9.0.4', '4.9', '2.5.9', '9.2', '9.0.4', '4.9', '5.9', 'A3', 'E4', 'C4', 'A4', 'A1', 'E2', 'A2', 'A2', 'B2', 'B1', 'C3', 'C2', 'D3', 'D2', 'E3', 'F#3', 'F#2', 'G#3', 'G#2', 'B3', 'B2', 'C3', 'D4', 'D3', 'E3', 'F#4', 'F#3', 'G#4', 'G#3', 'A3', 'B4', 'B3', 'C5', 'C4', 'D5', 'D4', 'E5', 'E4', 'F#5', 'F#4', 'G#5', 'G#4', 'A5', 'A4', 'B5', 'B4', 'C6', 'C5', 'D6', 'D5', 'E6', 'E5', 'F#6', 'F#5', 'G#6', 'G#5', 'A6', 'A5'])\n",
            " list([])\n",
            " list(['C#2', 'G#2', 'G#3', 'C#3', 'G#2', 'C#2', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'E5', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'F5', 'G#2', 'C#3', 'B3', 'F5', 'C#3', 'G#2', 'C#2', 'F5', 'G#2', 'C#3', 'B3', 'C#3', 'G#2', 'C#2', 'F#5', 'A2', 'C#3', 'A3', 'C#3', 'A2', 'C#2', 'A2', 'D3', 'A3', 'E5', 'D3', 'A2', 'C#2', 'D5', 'C#5', 'A2', 'D3', 'A3', 'C5', 'D3', 'A2', 'C#2', 'C#5', 'G#2', 'E3', 'C#4', 'G#5', 'E3', 'G#2', 'C#2', 'B1', 'B2', 'E-4', 'G#5', 'A3', 'F#5', 'B2', 'B1', 'E5', 'E5', 'E2', 'B2', 'E4', 'G#3', 'B2', 'E-2', 'E5', 'C#2', 'G#2', 'G#3', 'E5', 'C#3', 'G#2', 'C#2', 'F5', 'G#2', 'C#3', 'B3', 'C#3', 'G#2', 'C#2', 'F#5', 'A2', 'C#3', 'A3', 'C#3', 'A2', 'C#2', 'A2', 'D3', 'A3', 'E5', 'D3', 'A2', 'C#2', 'D5', 'C#5', 'A2', 'D3', 'A3', 'C5', 'D3', 'A2', 'C#2', 'A2', 'D3', 'A3', 'D3', 'A2', 'C#2', 'A2', 'D3', 'A3', 'D3', 'A2', 'C#2', '1', 'G#2', 'G#3', 'C#4', 'G#5', 'E3', 'G#2', 'C#2', 'F#5', 'C#2', 'G#5', 'G#2', 'F#5', 'C4', 'E5', 'F#3', 'G#2', 'C#2', 'E-5', 'C#5', 'C#2', 'G#2', 'C#4', 'E3', 'G#2', 'C#2', 'E-5', 'C#2', 'G#2', 'C4', 'F#3', 'G#2', 'C#2', 'E5', 'C#2', 'G#2', 'C#4', 'F#5', 'G#5', 'E3', 'G#2', 'C#2', 'F#5', 'G#1', 'G#2', 'C4', 'D5', 'F#3', 'G#2', 'G#1', 'C#5', 'C#2', 'G#2', 'C#4', 'E3', 'G#2', 'C#2', 'G#4', 'C#2', 'G#2', 'C4', 'G#5', 'F#3', 'G#2', 'C#2', 'C#6', 'C#2', 'G#2', 'C#4', 'G#5', 'E3', 'G#2', 'C#2', 'F#5', 'C#2', 'G#5', 'G#2', 'F#5', 'C4', 'E5', 'F#3', 'G#2', 'C#2', 'E-5', 'C#5', 'C#2', 'G#2', 'C#4', 'E3', 'G#2', 'C#2', 'E-5', 'G#1', 'G#2', 'C4', 'F#3', 'G#2', 'G#1', 'E5', 'C#2', 'G#2', 'C#4', 'F#5', 'G#5', 'E3', 'G#2', 'C#2', 'F#5', 'F#2', 'D3', 'A3', 'D5', 'G#2', 'F#3', 'C4', 'C#5', 'C#2', 'G#2', 'C#4', 'E3', 'G#2', 'C#2', 'C#2', 'G#2', 'G#3', 'C#3', 'G#2', 'C#2', 'E5', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'E5', 'G#2', 'C#3', 'G#3', 'E5', 'C#3', 'G#2', 'C#2', 'B4', 'F5', 'G#2', 'C#3', 'G#3', 'C#5', 'C#3', 'G#2', 'C#2', 'B4', 'B4', 'F#5', 'F#2', 'C#3', 'C#4', 'A4', 'F#3', 'C#3', 'F#2', 'G#4', 'F#4', 'F#1', 'F#2', 'A3', 'E5', 'D3', 'F#2', 'F#1', 'D5', 'C#5', 'G#1', 'G#2', 'G#3', 'C5', 'E-3', 'G#2', 'G#1', '1.4', 'C#2', 'G#2', 'C#4', 'G#5', 'E3', 'G#2', 'C#2', 'A4', 'B1', 'B4', 'A4', 'B2', 'G#4', 'E-4', 'A4', 'F#5', 'B4', 'A3', 'B2', 'B1', 'F#4', 'G#4', 'E5', 'E2', 'B2', 'E4', 'G#3', 'B2', 'E-2', 'E5', 'C#2', 'G#2', 'G#3', 'E5', 'C#3', 'G#2', 'C#2', 'B4', 'F5', 'C#2', 'G#2', 'C#4', 'C#5', 'F3', 'G#2', 'C#2', 'B4', 'B4', 'F#5', 'C#2', 'A2', 'C#4', 'A4', 'F#3', 'A2', 'C#2', 'G#4', 'F#4', 'C#2', 'A2', 'A3', 'E5', 'D3', 'A2', 'C#2', 'D5', 'C#5', 'C#2', 'A2', 'A3', 'C5', 'D3', 'A2', 'C#2', 'F#4', 'C#2', 'A2', 'A3', 'E4', 'D3', 'A2', 'C#2', 'D4', 'C#4', 'C#2', 'A2', 'A3', 'C4', 'D3', 'A2', 'C#2', 'A2', 'D3', 'A3', 'D4', 'A3', 'D3', 'A2', 'D3', 'A3', 'D3', 'A2', 'C#2', 'D3', 'A3', 'D4', 'F#4', 'D4', 'A3', 'A2', 'D3', 'A3', 'D3', 'A2', 'C#2', '8', '3.6', 'C2', 'G2', 'G#2', 'A2', 'G#2', '8', 'A2', '8', 'G#2', 'A2', 'G#2', '8', 'C#4', 'C#2', 'G2', 'G#2', 'A2', 'G#2', 'E4', 'A2', 'C#4', 'G#2', 'A2', 'G#2', '8', 'C4', 'E-2', 'G2', 'G#2', 'A2', 'G#2', '8', 'A2', '8', 'G#2', 'A2', 'G#2', '8', 'C#4', 'E2', 'G2', 'G#2', 'A2', 'G#2', 'E4', 'A2', 'C#4', 'G#2', 'A2', 'G#2', '1', '8.11', 'F2', 'C3', 'C#3', 'D3', 'C#3', '1', 'D3', '1', 'C#3', 'D3', 'C#3', '1', 'F#4', 'F#2', 'C3', 'C#3', 'D3', 'C#3', 'A4', 'D3', 'F#4', 'C#3', 'D3', 'C#3', '1', 'F4', 'G#2', 'C3', 'C#3', 'D3', 'C#3', '1', 'D3', '1', 'C#3', 'D3', 'C#3', '1', 'F#4', 'A2', 'C3', 'C#3', 'D3', 'C#3', 'A4', 'D3', 'F#4', 'C#3', 'D3', 'C#3', '8', '3.6', '0', 'G3', 'G#3', 'A3', 'G#3', 'A3', '8', '8', 'G#3', 'E-4', 'G#3', '8', 'C#5', '1', 'G3', 'G#3', 'A3', 'G#3', 'A3', 'E5', 'C#5', 'G#3', 'E4', 'G#3', '8', 'C5', '3', 'G3', 'G#3', 'A3', 'G#3', 'A3', '8', '8', 'G#3', 'F#4', 'G#3', '8', 'C#5', '4', 'G3', 'G#3', 'A3', 'G#3', 'A3', 'E5', 'C#5', 'G#3', 'G#4', 'G#3', '1', '8.11', '5', 'C4', 'C#4', 'D4', 'C#4', 'D4', '1', '1', 'C#4', '1', 'B4', '1', 'C#4', '1', 'F#5', '6', 'C4', 'C#4', 'D4', 'C#4', 'D4', 'A5', 'F#5', 'C#4', 'A4', 'C#4', '1', 'F5', '8', 'C4', 'C#4', 'D4', '1', 'C#4', '1', 'D4', '1', 'C#4', '1', 'G#4', '1', 'C#4', '1', 'F#5', '9', 'C4', 'C#4', 'D4', 'C#4', 'D4', 'A5', 'F#5', 'C#4', 'C#5', 'C#4', '1.4.7', 'B-1', 'C#3', 'C#2', 'E3', 'E2', 'G3', '1.4.7', '1.4.7', 'G2', 'B-3', 'B-2', '4.8', 'B2', 'B3', 'G#3', '4.8.11', 'E4', 'B3', 'G#4', '4.8.11', 'E4', 'B3', 'G#3', 'G#5', 'B1', 'B2', 'F#3', 'B3', 'F#3', 'E-4', 'B3', 'F#3', 'B2', 'E5', '8', 'E2', 'E3', 'B2', 'E2', 'G#3', 'E-5', 'B2', 'D5', 'E2', 'B3', 'B2', '8.0.3', 'E-2', 'E-3', 'E-2', 'G#3', 'E-2', 'C4', '8.0.3', '8.0.3', 'E-2', 'E-4', 'E-2', '8.0.3', 'G#4', 'E-4', 'C5', 'G#4', 'E-4', '8.0.3', 'C4', '8.0.3', 'G#3', 'E-3', 'E-2', 'C5', '1.3.7', 'E-2', 'B-2', 'G3', 'E-3', 'B-4', 'B-2', '1.7', 'C#5', 'E-2', 'E-3', 'E-4', 'C5', '8.0', 'G#1', 'E-3', 'G#2', 'E-3', 'G#2', 'E-3', 'G#2', 'E-3', 'G#2', 'C#4', 'A4', 'E3', 'G#2', 'E3', 'G#2', 'E3', 'A4', 'G#2', 'A4', 'E3', 'G#2', 'E3', 'C4', 'A4', 'G#2', 'E-3', 'G#2', 'E-3', 'G#2', 'G#4', 'E-3', 'E-4', 'G#2', 'E-3', 'G#2', 'D4', 'B4', 'F3', 'G#2', 'F3', 'G#2', 'F3', 'B4', 'G#2', 'B4', 'F3', 'G#2', 'F3', 'E-4', 'B4', 'G#2', 'F#3', 'G#2', 'F#3', 'G#2', 'B-4', 'F#3', 'E-5', 'G#2', 'F#3', 'G#2', 'D4', 'B4', 'F3', 'G#2', 'F3', 'G#2', 'F3', 'B4', 'G#2', 'B4', 'F3', 'G#2', 'F3', 'E-4', 'B4', 'G#2', 'F#3', 'G#2', 'F#3', 'G#2', 'B-4', 'F#3', 'E-4', 'G#2', 'F#3', 'G#2', 'E4', 'C#5', 'G3', 'G#2', 'G3', 'G#2', 'G3', 'C#5', 'G#2', 'C#5', 'G3', 'G#2', 'G3', 'F4', 'C#5', 'G#2', 'G#3', 'G#2', 'G#3', 'G#2', 'C5', 'G#3', 'F5', 'G#2', 'G#3', 'G#2', 'E4', 'C#5', 'G3', 'G#2', 'G3', 'G#2', 'G3', 'C#5', 'G#2', 'C#5', 'G3', 'G#2', 'G3', 'F4', 'C#5', 'G#2', 'G#3', 'G#2', 'G#3', 'G#2', 'C5', 'G#3', 'F4', 'G#2', 'G#3', 'G#2', '0.3.6', 'A3', 'G#2', 'A3', '0.3.6', 'G#2', 'A3', 'G#2', '0.3.6', 'A3', 'G#2', 'A3', '0.3.6', '0.3.6', '8', '1.5.8', '8.1', '1.5', '8.1', '5.8', '8.1', '6.10', '1.6', 'F#2', 'F#1', 'F4', 'G#4', 'B-4', 'C#2', 'G#4', 'G4', '5.8', '8.1', '5.10', '8.1', '0.5', '8.1', '1.5', '8.1', '2.6', '3.6', '1.5.8', '8.1', '1.5', '8.1', '5.8', '8.1', '6.10', '1.6', 'F#2', 'F#1', 'F4', 'G#4', 'B-4', 'C#2', 'G#4', 'G4', '5.8', '8.1', '5.10', '8.1', '0.5', '8.1', '1.5', '8.1', '5.11', '1.7', '0.4', '7.0', '2.5', '4', '7.0', '0.4', '7.0', '4.7', '7.0', '5.9', '0.5', 'F2', 'E4', 'G4', 'A4', 'C2', 'G4', 'F#4', '4.7', '7.0', '4.9', '7.0', '11.4', '7.0', '0.4', '7.0', '1.5', '2.5', '4', '7.0', '0.4', '7.0', '4.7', '7.0', '2.5', '8.11', '3.6', '9.0', '5.8', '11.2', '6.9', '0.3', '3.9', '0.3', 'A4', '0.3', '5.8', '11.2', '6.9', '0.3', '8.11', '2.5', '9.0', '3.6', '9.0', '3.6', '9.0', '3.6', '9.0', '3.6', '9.0', '3.6', '9.1', '1.6', 'E5', '9', '0.6', 'E-5', '6.8', '0', '1', '2', '4', '3', '1', '0', '9', '8', '7', '8', '11', '9', '8', '6', '4', '3', '1', '0', '3', '9', '8', '7', '8', '3', '6', '4', 'C#2', 'G#2', 'G#3', 'C#3', 'G#2', 'C#2', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'E5', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'F5', 'G#2', 'C#3', 'B3', 'F5', 'C#3', 'G#2', 'C#2', 'F5', 'G#2', 'C#3', 'B3', 'C#3', 'G#2', 'C#2', 'F#5', 'A2', 'C#3', 'A3', 'C#3', 'A2', 'C#2', 'A2', 'D3', 'A3', 'E5', 'D3', 'A2', 'D5', 'C#2', 'C#5', 'A2', 'D3', 'A3', 'C5', 'D3', 'A2', 'C#2', 'C#5', 'G#2', 'E3', 'C#4', 'G#5', 'E3', 'G#2', 'A4', 'C#2', 'A4', 'B1', 'B4', 'B2', 'A4', 'G#4', 'E-4', 'A4', 'F#5', 'B4', 'A3', 'B2', 'F#4', 'B1', 'G#4', 'E5', 'E2', 'B2', 'E4', 'G#3', 'B2', 'E-2', 'E5', 'C#2', 'G#2', 'G#3', 'E5', 'C#3', 'G#2', 'C#2', 'B4', 'F5', 'C#2', 'G#2', 'C#4', 'C#5', 'F3', 'G#2', 'B4', 'C#2', 'B4', 'F#5', 'C#2', 'A2', 'C#4', 'A4', 'F#3', 'A2', 'G#4', 'C#2', 'F#4', 'C#2', 'A2', 'A3', 'E5', 'D3', 'A2', 'D5', 'C#2', 'C#5', 'C#2', 'A2', 'A3', 'C5', 'D3', 'A2', 'C#2', 'F#4', 'C#2', 'A2', 'A3', 'E4', 'D3', 'A2', 'D4', 'C#2', 'C#4', 'C#2', 'A2', 'A3', 'C4', 'D3', 'A2', 'C#2', 'C#4', 'C#2', 'G#2', 'C#4', '1.5', 'F3', 'G#2', 'C#2', '6.10', 'C#2', 'G#2', 'C4', 'C5', 'E-5', 'E-3', 'G#2', 'B-4', 'C#2', '5.8', 'C#2', 'G#2', 'B-3', '10.1', 'C#3', 'G#2', 'C#2', '3.6', 'C#2', 'G#2', 'G#3', '8.0', 'C3', 'G#2', '6.10', 'C#2', '5.8', 'C#2', 'G#2', 'C#4', '1.5', 'F3', 'G#2', 'C#2', '6.10', 'C#2', 'G#2', 'C4', '0.3', 'E-3', 'G#2', 'C#2', '5.8', 'C#2', 'G#2', 'B-3', '10.1', 'C#3', 'G#2', 'C#2', 'F#4', 'E-4', 'C#2', 'G#2', 'G#3', '8.0', 'C3', 'G#2', '6.10', 'C#2', '5.8', 'C#2', 'G#2', 'G#3', 'C#3', 'G#2', 'C#2', 'G#2', 'C#3', 'G#3', 'C#3', 'G#2', 'C#2', 'F#2', 'C#3', 'C#4', 'F#3', 'C#3', 'F#2', '6.10.1', 'F#1', 'C#3', 'C#4', 'F#3', 'C#3', 'F#2', 'F#4', '8.1', 'C#2', 'G#2', 'C#3', 'G#3', 'C#4', 'F4', '1.5.8', '1.5', 'C#2'])]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
            "  # Remove the CWD from sys.path while we load stuff.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_zTYrcIRX_41",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f4299589-97f6-4a75-c32b-556f2b582c1d"
      },
      "source": [
        "\n",
        "no_of_timesteps = 32\n",
        "x = []\n",
        "y = []\n",
        "\n",
        "for note_ in new_music:\n",
        "    for i in range(0, len(note_) - no_of_timesteps, 1):\n",
        "        \n",
        "        #preparing input and output sequences\n",
        "        input_ = note_[i:i + no_of_timesteps]\n",
        "        output = note_[i + no_of_timesteps]\n",
        "        \n",
        "        x.append(input_)\n",
        "        y.append(output)\n",
        "        \n",
        "x=np.array(x)\n",
        "y=np.array(y)\n",
        "print(x)\n",
        "print()\n",
        "print(y)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[['B5' 'G#2' 'E-6' ... 'G#5' '8.11.3' 'B5']\n",
            " ['G#2' 'E-6' 'B5' ... '8.11.3' 'B5' 'G#5']\n",
            " ['E-6' 'B5' 'G#5' ... 'B5' 'G#5' 'E-5']\n",
            " ...\n",
            " ['G#2' 'G#3' 'C#3' ... 'G#3' 'C#4' 'F4']\n",
            " ['G#3' 'C#3' 'G#2' ... 'C#4' 'F4' '1.5.8']\n",
            " ['C#3' 'G#2' 'C#2' ... 'F4' '1.5.8' '1.5']]\n",
            "\n",
            "['G#5' 'E-5' 'E-5' ... '1.5.8' '1.5' 'C#2']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y0yPhoeVYAwA",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a961e7dc-24f6-4d97-dfe7-fd7afcd0caef"
      },
      "source": [
        "unique_x = list(set(x.ravel()))\n",
        "x_note_to_int = dict((note_, number) for number, note_ in enumerate(unique_x))\n",
        "print(unique_x)\n",
        "print(len(unique_x))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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n",
            "179\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p4yGA5PaYD0v"
      },
      "source": [
        "#preparing input sequences\n",
        "x_seq=[]\n",
        "for i in x:\n",
        "    temp=[]\n",
        "    for j in i:\n",
        "        #assigning unique integer to every note\n",
        "        temp.append(x_note_to_int[j])\n",
        "    x_seq.append(temp)\n",
        "    \n",
        "x_seq = np.array(x_seq)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y0q3taLpYGg2"
      },
      "source": [
        "unique_y = list(set(y))\n",
        "y_note_to_int = dict((note_, number) for number, note_ in enumerate(unique_y)) \n",
        "y_seq=np.array([y_note_to_int[i] for i in y])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OUlyKSBqYKqg"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "x_tr, x_val, y_tr, y_val = train_test_split(x_seq,y_seq,test_size=0.2,random_state=0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zEihVVOUYOKC"
      },
      "source": [
        "def lstm():\n",
        "  model = Sequential()\n",
        "  model.add(LSTM(128,return_sequences=True))\n",
        "  model.add(LSTM(128))\n",
        "  model.add(Dense(256))\n",
        "  model.add(Activation('relu'))\n",
        "  model.add(Dense(n_vocab))\n",
        "  model.add(Activation('softmax'))\n",
        "  model.compile(loss='sparse_categorical_crossentropy', optimizer='adam')\n",
        "  model.summary()\n",
        "  return model"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p5wZ9Xx_YTmr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "48ffd34b-5d53-476d-cc0c-208df6247064"
      },
      "source": [
        "from keras.layers import *\n",
        "from keras.models import *\n",
        "from keras.callbacks import *\n",
        "import keras.backend as K\n",
        "\n",
        "K.clear_session()\n",
        "model = Sequential()\n",
        "    \n",
        "#embedding layer\n",
        "model.add(Embedding(len(unique_x), 100, input_length=32,trainable=True)) \n",
        "\n",
        "model.add(Conv1D(64,3, padding='causal',activation='relu'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(MaxPool1D(2))\n",
        "    \n",
        "model.add(Conv1D(128,3,activation='relu',dilation_rate=2,padding='causal'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(MaxPool1D(2))\n",
        "\n",
        "model.add(Conv1D(256,3,activation='relu',dilation_rate=4,padding='causal'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(MaxPool1D(2))\n",
        "          \n",
        "#model.add(Conv1D(256,5,activation='relu'))    \n",
        "model.add(GlobalMaxPool1D())\n",
        "    \n",
        "model.add(Dense(256, activation='relu'))\n",
        "model.add(Dense(len(unique_y), activation='softmax'))\n",
        "    \n",
        "model.compile(loss='sparse_categorical_crossentropy', optimizer='adam')\n",
        "\n",
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "embedding (Embedding)        (None, 32, 100)           17900     \n",
            "_________________________________________________________________\n",
            "conv1d (Conv1D)              (None, 32, 64)            19264     \n",
            "_________________________________________________________________\n",
            "dropout (Dropout)            (None, 32, 64)            0         \n",
            "_________________________________________________________________\n",
            "max_pooling1d (MaxPooling1D) (None, 16, 64)            0         \n",
            "_________________________________________________________________\n",
            "conv1d_1 (Conv1D)            (None, 16, 128)           24704     \n",
            "_________________________________________________________________\n",
            "dropout_1 (Dropout)          (None, 16, 128)           0         \n",
            "_________________________________________________________________\n",
            "max_pooling1d_1 (MaxPooling1 (None, 8, 128)            0         \n",
            "_________________________________________________________________\n",
            "conv1d_2 (Conv1D)            (None, 8, 256)            98560     \n",
            "_________________________________________________________________\n",
            "dropout_2 (Dropout)          (None, 8, 256)            0         \n",
            "_________________________________________________________________\n",
            "max_pooling1d_2 (MaxPooling1 (None, 4, 256)            0         \n",
            "_________________________________________________________________\n",
            "global_max_pooling1d (Global (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 256)               65792     \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 179)               46003     \n",
            "=================================================================\n",
            "Total params: 272,223\n",
            "Trainable params: 272,223\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kzz4fOkmYXHM"
      },
      "source": [
        "mc=ModelCheckpoint('best_model.h5', monitor='val_loss', mode='min', save_best_only=True,verbose=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FNFg_uyxYX1S",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ec1234cf-5e83-4909-caa5-194cb1cd3f1f"
      },
      "source": [
        "history = model.fit(np.array(x_tr),np.array(y_tr),batch_size=128,epochs=60, validation_data=(np.array(x_val),np.array(y_val)),verbose=1, callbacks=[mc])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/60\n",
            "534/534 [==============================] - 46s 83ms/step - loss: 4.5618 - val_loss: 4.0268\n",
            "\n",
            "Epoch 00001: val_loss improved from inf to 4.02681, saving model to best_model.h5\n",
            "Epoch 2/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 3.8617 - val_loss: 3.8469\n",
            "\n",
            "Epoch 00002: val_loss improved from 4.02681 to 3.84687, saving model to best_model.h5\n",
            "Epoch 3/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 3.6797 - val_loss: 3.7011\n",
            "\n",
            "Epoch 00003: val_loss improved from 3.84687 to 3.70112, saving model to best_model.h5\n",
            "Epoch 4/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 3.5429 - val_loss: 3.6392\n",
            "\n",
            "Epoch 00004: val_loss improved from 3.70112 to 3.63923, saving model to best_model.h5\n",
            "Epoch 5/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 3.4393 - val_loss: 3.5340\n",
            "\n",
            "Epoch 00005: val_loss improved from 3.63923 to 3.53404, saving model to best_model.h5\n",
            "Epoch 6/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 3.3393 - val_loss: 3.4926\n",
            "\n",
            "Epoch 00006: val_loss improved from 3.53404 to 3.49262, saving model to best_model.h5\n",
            "Epoch 7/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 3.2811 - val_loss: 3.4131\n",
            "\n",
            "Epoch 00007: val_loss improved from 3.49262 to 3.41308, saving model to best_model.h5\n",
            "Epoch 8/60\n",
            "534/534 [==============================] - 44s 83ms/step - loss: 3.2200 - val_loss: 3.4049\n",
            "\n",
            "Epoch 00008: val_loss improved from 3.41308 to 3.40489, saving model to best_model.h5\n",
            "Epoch 9/60\n",
            "534/534 [==============================] - 44s 83ms/step - loss: 3.1615 - val_loss: 3.3196\n",
            "\n",
            "Epoch 00009: val_loss improved from 3.40489 to 3.31957, saving model to best_model.h5\n",
            "Epoch 10/60\n",
            "534/534 [==============================] - 44s 83ms/step - loss: 3.1088 - val_loss: 3.2992\n",
            "\n",
            "Epoch 00010: val_loss improved from 3.31957 to 3.29924, saving model to best_model.h5\n",
            "Epoch 11/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 3.0555 - val_loss: 3.2838\n",
            "\n",
            "Epoch 00011: val_loss improved from 3.29924 to 3.28383, saving model to best_model.h5\n",
            "Epoch 12/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 3.0300 - val_loss: 3.2390\n",
            "\n",
            "Epoch 00012: val_loss improved from 3.28383 to 3.23904, saving model to best_model.h5\n",
            "Epoch 13/60\n",
            "534/534 [==============================] - 44s 83ms/step - loss: 2.9929 - val_loss: 3.2153\n",
            "\n",
            "Epoch 00013: val_loss improved from 3.23904 to 3.21531, saving model to best_model.h5\n",
            "Epoch 14/60\n",
            "534/534 [==============================] - 44s 83ms/step - loss: 2.9509 - val_loss: 3.1659\n",
            "\n",
            "Epoch 00014: val_loss improved from 3.21531 to 3.16586, saving model to best_model.h5\n",
            "Epoch 15/60\n",
            "534/534 [==============================] - 44s 83ms/step - loss: 2.9279 - val_loss: 3.1553\n",
            "\n",
            "Epoch 00015: val_loss improved from 3.16586 to 3.15526, saving model to best_model.h5\n",
            "Epoch 16/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.8973 - val_loss: 3.1407\n",
            "\n",
            "Epoch 00016: val_loss improved from 3.15526 to 3.14072, saving model to best_model.h5\n",
            "Epoch 17/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.8666 - val_loss: 3.1349\n",
            "\n",
            "Epoch 00017: val_loss improved from 3.14072 to 3.13489, saving model to best_model.h5\n",
            "Epoch 18/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.8531 - val_loss: 3.1069\n",
            "\n",
            "Epoch 00018: val_loss improved from 3.13489 to 3.10691, saving model to best_model.h5\n",
            "Epoch 19/60\n",
            "534/534 [==============================] - 44s 83ms/step - loss: 2.8321 - val_loss: 3.0953\n",
            "\n",
            "Epoch 00019: val_loss improved from 3.10691 to 3.09531, saving model to best_model.h5\n",
            "Epoch 20/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.7967 - val_loss: 3.0876\n",
            "\n",
            "Epoch 00020: val_loss improved from 3.09531 to 3.08760, saving model to best_model.h5\n",
            "Epoch 21/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.7883 - val_loss: 3.0626\n",
            "\n",
            "Epoch 00021: val_loss improved from 3.08760 to 3.06256, saving model to best_model.h5\n",
            "Epoch 22/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.7640 - val_loss: 3.0415\n",
            "\n",
            "Epoch 00022: val_loss improved from 3.06256 to 3.04145, saving model to best_model.h5\n",
            "Epoch 23/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.7616 - val_loss: 3.0460\n",
            "\n",
            "Epoch 00023: val_loss did not improve from 3.04145\n",
            "Epoch 24/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.7367 - val_loss: 3.0393\n",
            "\n",
            "Epoch 00024: val_loss improved from 3.04145 to 3.03930, saving model to best_model.h5\n",
            "Epoch 25/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.7266 - val_loss: 3.0340\n",
            "\n",
            "Epoch 00025: val_loss improved from 3.03930 to 3.03396, saving model to best_model.h5\n",
            "Epoch 26/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.7117 - val_loss: 3.0300\n",
            "\n",
            "Epoch 00026: val_loss improved from 3.03396 to 3.03004, saving model to best_model.h5\n",
            "Epoch 27/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6930 - val_loss: 3.0020\n",
            "\n",
            "Epoch 00027: val_loss improved from 3.03004 to 3.00200, saving model to best_model.h5\n",
            "Epoch 28/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6810 - val_loss: 2.9859\n",
            "\n",
            "Epoch 00028: val_loss improved from 3.00200 to 2.98589, saving model to best_model.h5\n",
            "Epoch 29/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6661 - val_loss: 3.0025\n",
            "\n",
            "Epoch 00029: val_loss did not improve from 2.98589\n",
            "Epoch 30/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6546 - val_loss: 2.9797\n",
            "\n",
            "Epoch 00030: val_loss improved from 2.98589 to 2.97975, saving model to best_model.h5\n",
            "Epoch 31/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6548 - val_loss: 2.9734\n",
            "\n",
            "Epoch 00031: val_loss improved from 2.97975 to 2.97343, saving model to best_model.h5\n",
            "Epoch 32/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6408 - val_loss: 2.9659\n",
            "\n",
            "Epoch 00032: val_loss improved from 2.97343 to 2.96588, saving model to best_model.h5\n",
            "Epoch 33/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6258 - val_loss: 2.9556\n",
            "\n",
            "Epoch 00033: val_loss improved from 2.96588 to 2.95557, saving model to best_model.h5\n",
            "Epoch 34/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.6187 - val_loss: 2.9604\n",
            "\n",
            "Epoch 00034: val_loss did not improve from 2.95557\n",
            "Epoch 35/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.6081 - val_loss: 2.9509\n",
            "\n",
            "Epoch 00035: val_loss improved from 2.95557 to 2.95092, saving model to best_model.h5\n",
            "Epoch 36/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.5946 - val_loss: 2.9485\n",
            "\n",
            "Epoch 00036: val_loss improved from 2.95092 to 2.94852, saving model to best_model.h5\n",
            "Epoch 37/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.5980 - val_loss: 2.9434\n",
            "\n",
            "Epoch 00037: val_loss improved from 2.94852 to 2.94344, saving model to best_model.h5\n",
            "Epoch 38/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.5891 - val_loss: 2.9531\n",
            "\n",
            "Epoch 00038: val_loss did not improve from 2.94344\n",
            "Epoch 39/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.5714 - val_loss: 2.9413\n",
            "\n",
            "Epoch 00039: val_loss improved from 2.94344 to 2.94129, saving model to best_model.h5\n",
            "Epoch 40/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.5700 - val_loss: 2.9132\n",
            "\n",
            "Epoch 00040: val_loss improved from 2.94129 to 2.91318, saving model to best_model.h5\n",
            "Epoch 41/60\n",
            "534/534 [==============================] - 43s 80ms/step - loss: 2.5573 - val_loss: 2.9193\n",
            "\n",
            "Epoch 00041: val_loss did not improve from 2.91318\n",
            "Epoch 42/60\n",
            "534/534 [==============================] - 43s 80ms/step - loss: 2.5471 - val_loss: 2.9191\n",
            "\n",
            "Epoch 00042: val_loss did not improve from 2.91318\n",
            "Epoch 43/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.5536 - val_loss: 2.8956\n",
            "\n",
            "Epoch 00043: val_loss improved from 2.91318 to 2.89559, saving model to best_model.h5\n",
            "Epoch 44/60\n",
            "534/534 [==============================] - 43s 80ms/step - loss: 2.5597 - val_loss: 2.9031\n",
            "\n",
            "Epoch 00044: val_loss did not improve from 2.89559\n",
            "Epoch 45/60\n",
            "534/534 [==============================] - 43s 80ms/step - loss: 2.5406 - val_loss: 2.8939\n",
            "\n",
            "Epoch 00045: val_loss improved from 2.89559 to 2.89394, saving model to best_model.h5\n",
            "Epoch 46/60\n",
            "534/534 [==============================] - 43s 80ms/step - loss: 2.5323 - val_loss: 2.8978\n",
            "\n",
            "Epoch 00046: val_loss did not improve from 2.89394\n",
            "Epoch 47/60\n",
            "534/534 [==============================] - 43s 80ms/step - loss: 2.5278 - val_loss: 2.8931\n",
            "\n",
            "Epoch 00047: val_loss improved from 2.89394 to 2.89306, saving model to best_model.h5\n",
            "Epoch 48/60\n",
            "534/534 [==============================] - 43s 80ms/step - loss: 2.5214 - val_loss: 2.9021\n",
            "\n",
            "Epoch 00048: val_loss did not improve from 2.89306\n",
            "Epoch 49/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.5198 - val_loss: 2.8972\n",
            "\n",
            "Epoch 00049: val_loss did not improve from 2.89306\n",
            "Epoch 50/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.5127 - val_loss: 2.8781\n",
            "\n",
            "Epoch 00050: val_loss improved from 2.89306 to 2.87815, saving model to best_model.h5\n",
            "Epoch 51/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.5127 - val_loss: 2.8712\n",
            "\n",
            "Epoch 00051: val_loss improved from 2.87815 to 2.87123, saving model to best_model.h5\n",
            "Epoch 52/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.5024 - val_loss: 2.8627\n",
            "\n",
            "Epoch 00052: val_loss improved from 2.87123 to 2.86272, saving model to best_model.h5\n",
            "Epoch 53/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.5015 - val_loss: 2.8808\n",
            "\n",
            "Epoch 00053: val_loss did not improve from 2.86272\n",
            "Epoch 54/60\n",
            "534/534 [==============================] - 43s 81ms/step - loss: 2.4962 - val_loss: 2.8833\n",
            "\n",
            "Epoch 00054: val_loss did not improve from 2.86272\n",
            "Epoch 55/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.4922 - val_loss: 2.8785\n",
            "\n",
            "Epoch 00055: val_loss did not improve from 2.86272\n",
            "Epoch 56/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.4831 - val_loss: 2.8719\n",
            "\n",
            "Epoch 00056: val_loss did not improve from 2.86272\n",
            "Epoch 57/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.4760 - val_loss: 2.8520\n",
            "\n",
            "Epoch 00057: val_loss improved from 2.86272 to 2.85196, saving model to best_model.h5\n",
            "Epoch 58/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.4754 - val_loss: 2.8563\n",
            "\n",
            "Epoch 00058: val_loss did not improve from 2.85196\n",
            "Epoch 59/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.4788 - val_loss: 2.8647\n",
            "\n",
            "Epoch 00059: val_loss did not improve from 2.85196\n",
            "Epoch 60/60\n",
            "534/534 [==============================] - 44s 82ms/step - loss: 2.4755 - val_loss: 2.8547\n",
            "\n",
            "Epoch 00060: val_loss did not improve from 2.85196\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fLiq1xJ1Yaw1"
      },
      "source": [
        "#loading best model\n",
        "from keras.models import load_model\n",
        "model = load_model('best_model.h5')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vADwAqvaYeGd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ed51a42a-1cf6-403d-8ed8-454adf107b0d"
      },
      "source": [
        "import random\n",
        "ind = np.random.randint(0,len(x_val)-1)\n",
        "\n",
        "random_music = x_val[ind]\n",
        "\n",
        "predictions=[]\n",
        "for i in range(20):\n",
        "\n",
        "    random_music = random_music.reshape(1,no_of_timesteps)\n",
        "\n",
        "    prob  = model.predict(random_music)[0]\n",
        "    y_pred= np.argmax(prob,axis=0)\n",
        "    predictions.append(y_pred)\n",
        "\n",
        "    random_music = np.insert(random_music[0],len(random_music[0]),y_pred)\n",
        "    random_music = random_music[1:]\n",
        "    \n",
        "print(predictions*2)\n",
        "print(random_music)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[178, 178, 178, 85, 85, 85, 84, 178, 178, 84, 84, 84, 84, 83, 83, 83, 84, 84, 84, 84, 178, 178, 178, 85, 85, 85, 84, 178, 178, 84, 84, 84, 84, 83, 83, 83, 84, 84, 84, 84]\n",
            "[ 93 172   5  84 176   5  67  93 172   5  84 146 178 178 178  85  85  85\n",
            "  84 178 178  84  84  84  84  83  83  83  84  84  84  84]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i9cj5KIcYi7f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "077558e1-5a9c-4640-88b5-bd133cebc8a7"
      },
      "source": [
        "x_int_to_note = dict((number, note_) for number, note_ in enumerate(unique_x)) \n",
        "predicted_notes = [x_int_to_note[i] for i in predictions]\n",
        "print(predicted_notes*2)\n",
        "predicted_notes=predicted_notes*2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['E-5', 'E-5', 'E-5', '3.6', '3.6', '3.6', 'G#3', 'E-5', 'E-5', 'G#3', 'G#3', 'G#3', 'G#3', '0.6', '0.6', '0.6', 'G#3', 'G#3', 'G#3', 'G#3', 'E-5', 'E-5', 'E-5', '3.6', '3.6', '3.6', 'G#3', 'E-5', 'E-5', 'G#3', 'G#3', 'G#3', 'G#3', '0.6', '0.6', '0.6', 'G#3', 'G#3', 'G#3', 'G#3']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zyCzXiaxYqHG"
      },
      "source": [
        "def convert_to_midi(prediction_output):\n",
        "   \n",
        "    offset = 0\n",
        "    output_notes = []\n",
        "\n",
        "    # create note and chord objects based on the values generated by the model\n",
        "    for pattern in prediction_output:\n",
        "        \n",
        "        # pattern is a chord\n",
        "        if ('.' in pattern) or pattern.isdigit():\n",
        "            notes_in_chord = pattern.split('.')\n",
        "            notes = []\n",
        "            for current_note in notes_in_chord:\n",
        "                \n",
        "                cn=int(current_note)\n",
        "                new_note = note.Note(cn)\n",
        "                new_note.storedInstrument = instrument.Piano()\n",
        "                notes.append(new_note)\n",
        "                \n",
        "            new_chord = chord.Chord(notes)\n",
        "            new_chord.offset = offset\n",
        "            output_notes.append(new_chord)\n",
        "            \n",
        "        # pattern is a note\n",
        "        else:\n",
        "            \n",
        "            new_note = note.Note(pattern)\n",
        "            new_note.offset = offset\n",
        "            new_note.storedInstrument = instrument.Piano()\n",
        "            output_notes.append(new_note)\n",
        "\n",
        "        # increase offset each iteration so that notes do not stack\n",
        "        offset += 1\n",
        "    midi_stream = stream.Stream(output_notes)\n",
        "    midi_stream.write('midi', fp='music.mid')\n",
        "\n",
        "\n",
        "convert_to_midi(predicted_notes)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "ClSiSP9haqEy",
        "outputId": "a04d2778-1b7a-4967-db3d-d6a6e11f7952"
      },
      "source": [
        "from google.colab import files\n",
        "files.download('music.mid') "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_05d0874e-5fd1-4a03-bd1b-93b4c2534fca\", \"music.mid\", 491)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}