scale_cycles_obsolete.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The music21.ipython21 extension is already loaded. To reload it, use:\n",
      "  %reload_ext music21.ipython21\n",
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "#schillinger special theory of harmony\n",
    "#possible C3 C5 C7 in descending direction\n",
    "from music21 import *\n",
    "%load_ext music21.ipython21\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "code_folding": [],
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# functions\n",
    "def showNotes(notes):\n",
    "\n",
    "    s = stream.Score(id='mainScore')\n",
    "    stream.Score()\n",
    "    part = stream.Part(id='part')\n",
    "    part.timeSignature = meter.TimeSignature('8/1')\n",
    "    tones = []\n",
    "    for tone in notes:\n",
    "        tone.octave = 3\n",
    "        nota = note.Note(tone.nameWithOctave)\n",
    "        #nota.pitch.octave = 3\n",
    "        nota.duration.quarterLength = 4\n",
    "        tones.append(nota)\n",
    "\n",
    "    part.append(tones)\n",
    "    s.insert(0, part)\n",
    "    return s\n",
    "\n",
    "def coeficients(coefs, scale):\n",
    "    return sum(coefs)*len(scale)\n",
    "\n",
    "def diatonic_cicles(scale, coef):\n",
    "    my_scale = []\n",
    "    a = scale.getTonic()\n",
    "    my_scale.append(a)\n",
    "    for i in range(7):\n",
    "        a = scale.next(a, direction=\"descending\",stepSize=coef-1)\n",
    "        my_scale.append(a)\n",
    "    return my_scale\n",
    "    \n",
    "def schillinger_type_I(fraction):\n",
    "    \n",
    "    major = fraction[0]\n",
    "    minor = fraction[1]\n",
    "    seq_len = major*minor\n",
    "    return_arr = [] \n",
    "    count = 1\n",
    "    for i in range(1, seq_len):\n",
    "        if i > 0 and i % major == 0 or i % minor == 0:\n",
    "            return_arr.append(count)\n",
    "            count = 1\n",
    "        else:\n",
    "            count += 1\n",
    "    return_arr.append(count)\n",
    "    return return_arr\n",
    "\n",
    "def diatonic_cicles_with_coeficients(scale, cycles, scale_length, coef):\n",
    "    length = sum(coef)*scale_length\n",
    "    count = 0\n",
    "    sum_arr = []\n",
    "    for i in range(length):\n",
    "        coef_iterator = i%len(coef)\n",
    "        cycles_iterator = coef_iterator % len(cycles)\n",
    "        count += coef[coef_iterator]\n",
    "        for c in range(coef[coef_iterator]):\n",
    "            sum_arr.append(cycles[cycles_iterator])\n",
    "        if count >= length: break\n",
    "    \n",
    "    my_scale = []\n",
    "    a = scale.getTonic()\n",
    "    my_scale.append(a)\n",
    "    for i in sum_arr:\n",
    "        a = scale.next(a, direction=\"descending\",stepSize=i-1)\n",
    "        my_scale.append(a)\n",
    "    print(sum_arr)\n",
    "    return my_scale\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#tests\n",
    "C = 5\n",
    "testscale = scale.MajorScale('c')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "seventh = diatonic_cicles(scale=testscale,coef=7)\n",
    "thirds = diatonic_cicles(scale=testscale,coef=3)\n",
    "fifts = diatonic_cicles(scale=testscale,coef=5)\n",
    "\n",
    "\n",
    "#print(seventh)\n",
    "#print(thirds)\n",
    "#print(fifts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
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      "text/plain": [
       "<music21.ipython21.objects.IPythonPNGObject at 0x10beb9b38>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = showNotes(seventh)\n",
    "s.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAAqCAYAAACnZXBdAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAN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\ntQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<music21.ipython21.objects.IPythonPNGObject at 0x10c120da0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = showNotes(thirds)\n",
    "s.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAAqCAYAAACnZXBdAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAN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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<music21.ipython21.objects.IPythonPNGObject at 0x10be57e48>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = showNotes(fifts)\n",
    "s.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<music21.ipython21.objects.IPythonPNGObject at 0x10c10bcc0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = diatonic_cicles(scale=testscale,coef=2)\n",
    "s = showNotes(test)\n",
    "s.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5, 5, 5, 3, 7, 7, 5, 5, 5, 3, 7, 7, 5, 5, 5, 3, 7, 7, 5, 5, 5, 3, 7, 7, 5, 5, 5, 3, 7, 7, 5, 5, 5, 3, 7, 7, 5, 5, 5, 3, 7, 7]\n"
     ]
    },
    {
     "data": {
      "image/png": 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51JCtz4sFCxbg8OHDUttca7BS7N+/H1FRUQ0+7fRmpqzDL7zwAqZOnWregJsBU8Zy1qxZ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\nww9lnTJlCtasWQO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      "text/plain": [
       "<music21.ipython21.objects.IPythonPNGObject at 0x10c00cc18>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# coef\n",
    "C3 = 3\n",
    "C5 = 5\n",
    "C7 = 7\n",
    "scale_length = 7\n",
    "cycles = [C5,C3,C7]\n",
    "coeficients = [3,1,2]\n",
    "sc = diatonic_cicles_with_coeficients(testscale, cycles, scale_length, coeficients)\n",
    "s = showNotes(sc)\n",
    "s.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'schillinger_type_I' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-21504a1c1345>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mscale_length\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mcycles\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mC3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mC5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mC7\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mcoeficients\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mschillinger_type_I\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m#312213\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0msc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdiatonic_cicles_with_coeficients\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtestscale\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcycles\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale_length\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcoeficients\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshowNotes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'schillinger_type_I' is not defined"
     ]
    }
   ],
   "source": [
    "# coef\n",
    "C3 = 3\n",
    "C5 = 5\n",
    "C7 = 7\n",
    "scale_length = 7\n",
    "cycles = [C3,C5,C7] \n",
    "coeficients = schillinger_type_I([4,3])#312213\n",
    "sc = diatonic_cicles_with_coeficients(testscale, cycles, scale_length, coeficients)\n",
    "s = showNotes(sc)\n",
    "s.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python [conda env:python3_test]",
   "language": "python",
   "name": "conda-env-python3_test-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  }
 },
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}