{
 "metadata": {
  "name": "",
  "signature": "sha256:52d00b9dab4b07c2d7be33a29b48519fe660c63508c72fbf5ac22aaa63f074b1"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Preamble"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This was taken and slightly adapted from the example section of the abjad documentation. I am not the author of the content (only the porting to noteook format). I have removed all diacritics for now."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from abjad import *\n",
      "%load_ext abjad.ext.ipython"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will use and extra import here"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from abjad.demos import ferneyhough"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Ferneyhough: Unsichtbare Farben"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Mikhial Malt analyzes the rhythmic materials of Ferneyhough\u2019s Unsichtbare Farben in The OM Composer\u2019s Book 2.\n",
      "\n",
      "Malt explains that Ferneyhough used OpenMusic to create an \u201cexhaustive catalogue of rhythmic cells\u201d such that:\n",
      "\n",
      "1. They are subdivided into two pulses, with proportions from 1/1 to 1/11.\n",
      "2. The second pulse is subdivided successively by 1, 2, 3, 4, 5 and 6.\n",
      "\n",
      "Let\u2019s recreate Malt\u2019s results in Abjad."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "The proportions"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First we define the proportions"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "proportions = [(1, n) for n in range(1, 11 + 1)]\n",
      "proportions"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "[(1, 1),\n",
        " (1, 2),\n",
        " (1, 3),\n",
        " (1, 4),\n",
        " (1, 5),\n",
        " (1, 6),\n",
        " (1, 7),\n",
        " (1, 8),\n",
        " (1, 9),\n",
        " (1, 10),\n",
        " (1, 11)]"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "The transforms"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Next we\u2019ll show how to divide a quarter note into various ratios, and then divide the final logical tie of the resulting tuplet into yet another ratio:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def make_nested_tuplet(\n",
      "    tuplet_duration,\n",
      "    outer_tuplet_proportions,\n",
      "    inner_tuplet_subdivision_count,\n",
      "    ):\n",
      "    r'''Makes nested tuplet.\n",
      "    '''\n",
      "\n",
      "    outer_tuplet = Tuplet.from_duration_and_ratio(\n",
      "        tuplet_duration, outer_tuplet_proportions)\n",
      "    inner_tuplet_proportions = inner_tuplet_subdivision_count * [1]\n",
      "    last_leaf = outer_tuplet.select_leaves()[-1]\n",
      "    right_logical_tie = inspect_(last_leaf).get_logical_tie()\n",
      "    right_logical_tie.to_tuplet(inner_tuplet_proportions)\n",
      "    return outer_tuplet"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tuplet = make_nested_tuplet(Duration(1, 4), (1, 1), 5)\n",
      "staff = scoretools.Staff([tuplet], context_name='RhythmicStaff')\n",
      "show(staff)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAJ8AAAAvCAAAAADYukdJAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\n"
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tuplet = make_nested_tuplet(Duration(1, 4), (2, 1), 5)\n",
      "staff = scoretools.Staff([tuplet], context_name='RhythmicStaff')\n",
      "show(staff)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAKcAAAA7CAAAAAA72cUIAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\nAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tuplet = make_nested_tuplet(Duration(1, 4), (3, 1), 5)\n",
      "staff = scoretools.Staff([tuplet], context_name='RhythmicStaff')\n",
      "show(staff)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAKwAAAA0CAAAAAAyb4wqAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\ndCA5LjE0nbNcWAAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A logical tie is a selection of notes or chords connected by ties. It lets us talk about a notated rhythm of 5/16, for example, which can not be expressed with only a single leaf.\n",
      "\n",
      "Note how we can divide a tuplet whose outer proportions are 3/5, where the second logical tie requires two notes to express the 5/16 duration:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "normal_tuplet = Tuplet.from_duration_and_ratio(Duration(1, 4), (3, 5))\n",
      "staff = scoretools.Staff([normal_tuplet], context_name='RhythmicStaff')\n",
      "show(staff)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAHUAAAAlCAAAAABZ4fmXAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\n"
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "subdivided_tuplet = make_nested_tuplet(Duration(1, 4), (3, 5), 3)\n",
      "staff = scoretools.Staff([subdivided_tuplet], context_name='RhythmicStaff')\n",
      "show(staff)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAG8AAAAtCAAAAACFPmrbAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\n"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "The rhythms"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now that we know how to make the basic building block, let\u2019s make a lot of tuplets all at once.\n",
      "\n",
      "We\u2019ll set the duration of each tuplet equal to a quarter note:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "duration = Fraction(1, 4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And then we make one row of rhythms, with the last logical tie increasingly subdivided:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def make_row_of_nested_tuplets(\n",
      "    tuplet_duration,\n",
      "    outer_tuplet_proportions,\n",
      "    column_count,\n",
      "    ):\n",
      "    r'''Makes row of nested tuplets.\n",
      "    '''\n",
      "\n",
      "    assert 0 < column_count\n",
      "    row_of_nested_tuplets = []\n",
      "    for n in range(column_count):\n",
      "        inner_tuplet_subdivision_count = n + 1\n",
      "        nested_tuplet = make_nested_tuplet(\n",
      "            tuplet_duration,\n",
      "            outer_tuplet_proportions,\n",
      "            inner_tuplet_subdivision_count,\n",
      "            )\n",
      "        row_of_nested_tuplets.append(nested_tuplet)\n",
      "    return row_of_nested_tuplets"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tuplets = make_row_of_nested_tuplets(duration, (2, 1), 6)\n",
      "staff = scoretools.Staff(tuplets, context_name='RhythmicStaff')\n",
      "show(staff)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAArkAAAA7CAAAAABa0s2SAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\n"
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If we can make one single row of rhythms, we can make many rows of rhythms. Let\u2019s try:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def make_rows_of_nested_tuplets(tuplet_duration, row_count, column_count):\n",
      "    r'''Makes rows of nested tuplets.\n",
      "    '''\n",
      "\n",
      "    assert 0 < row_count\n",
      "    rows_of_nested_tuplets = []\n",
      "    for n in range(row_count):\n",
      "        outer_tuplet_proportions = (1, n + 1)\n",
      "        row_of_nested_tuplets = make_row_of_nested_tuplets(\n",
      "            tuplet_duration, outer_tuplet_proportions, column_count)\n",
      "        rows_of_nested_tuplets.append(row_of_nested_tuplets)\n",
      "    return rows_of_nested_tuplets"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "score = Score()\n",
      "for tuplet_row in make_rows_of_nested_tuplets(duration, 4, 6):\n",
      "    score.append(scoretools.Staff(tuplet_row, context_name='RhythmicStaff'))\n",
      "show(score)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Q6wpWCrGuYKVYvnV19c6gROtbz0xLw9yVXeIkSeaV0AcDWXe8VdDV0yEuhyxxvuZ1XZi9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\n"
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "That\u2019s getting close to what we want, but the typography isn\u2019t as good as it could be."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "The score"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First we\u2019ll package up the logic for making the un-styled score into a single function:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def make_score(tuplet_duration, row_count, column_count):\n",
      "    r'''Makes score.\n",
      "    '''\n",
      "\n",
      "    score = Score()\n",
      "    rows_of_nested_tuplets = make_rows_of_nested_tuplets(\n",
      "        tuplet_duration, row_count, column_count)\n",
      "    for row_of_nested_tuplets in rows_of_nested_tuplets:\n",
      "        staff = scoretools.Staff(row_of_nested_tuplets, context_name='RhythmicStaff')\n",
      "        time_signature = indicatortools.TimeSignature((1, 4))\n",
      "        attach(time_signature, staff)\n",
      "        score.append(staff)\n",
      "    return score"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "score = make_score(Duration(1, 4), 4, 6)\n",
      "show(score)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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tUUDuaUWKCDlL9voNquMFzfGausFLcIxn+Go71JGNZTyZp8VncmemcQgbcgI7\nhkvpuZD6kBzOeGFi4bVGAbmnFSkizFi9T4rOP1y+nkiH5f3xWw07TC4G3MLqu5IIG1bVCVsiqijC\n4LkYcHMiLMrjATmKcOmww+RiwK2JsNp0S4lwv8hacosvsbpM2GFyMeBwA1/a3R8+pwb7S5aFRBgR\ngWEUYV43TVOebiOGjiniwTCKcNfPoBSMZZzf7vfDI74k5BPikrEF1x6MiAAhPxDWfw+nCR1SxKNB\nFGF5WpEw24SOKeLB8P9ftJap/4kBDQAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAxNC0xMi0wMlQwOTo0\nMzoyMyswMDowMB8dC5IAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMTQtMTItMDJUMDk6NDM6MjMrMDA6\nMDBuQLMuAAAAHXRFWHRTb2Z0d2FyZQBHUEwgR2hvc3RzY3JpcHQgOS4xNJ2zXFgAAAAASUVORK5C\nYII=\n"
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Then we\u2019ll apply some formatting overrides to improve its overall appearance:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def configure_score(score):\n",
      "    r'''Configured score.\n",
      "    '''\n",
      "\n",
      "    moment = schemetools.SchemeMoment(1, 56)\n",
      "    set_(score).proportional_notation_duration = moment\n",
      "    set_(score).tuplet_full_length = True\n",
      "    override(score).bar_line.stencil = False\n",
      "    override(score).bar_number.transparent = True\n",
      "    override(score).spacing_spanner.uniform_stretching = True\n",
      "    override(score).spacing_spanner.strict_note_spacing = True\n",
      "    override(score).time_signature.stencil = False\n",
      "    override(score).tuplet_bracket.padding = 2\n",
      "    override(score).tuplet_bracket.staff_padding = 4\n",
      "    scheme = schemetools.Scheme('tuplet-number::calc-fraction-text')\n",
      "    override(score).tuplet_number.text = scheme"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "configure_score(score)\n",
      "show(score)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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4D2IE3gNJ9VS38Bh/CBK8jx5Bt2YmNA5jmeE9ePZtpz1+Gss84P23H7Y3wg96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\nb3N0c2NyaXB0IDkuMTSds1xYAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The proportional spacing makes the score much easier to read, but now the notation is much too big. We\u2019ll clean that up next."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "The LilyPond file"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let\u2019s adjust the overall size of our output, and put everything together:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def make_lilypond_file(tuplet_duration, row_count, column_count):\n",
      "    r'''Makes LilyPond file.\n",
      "    '''\n",
      "\n",
      "    score = make_score(tuplet_duration, row_count, column_count)\n",
      "    configure_score(score)\n",
      "    lilypond_file = lilypondfiletools.make_basic_lilypond_file(score)\n",
      "    configure_lilypond_file(lilypond_file)\n",
      "    return lilypond_file"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def configure_lilypond_file(lilypond_file):\n",
      "    r'''Configures LilyPond file.\n",
      "    '''\n",
      "\n",
      "    lilypond_file.default_paper_size = '11x17', 'portrait'\n",
      "    lilypond_file.global_staff_size = 12\n",
      "    lilypond_file.layout_block.indent = 0\n",
      "    lilypond_file.layout_block.ragged_right = True\n",
      "    lilypond_file.paper_block.ragged_bottom = True\n",
      "    spacing_vector = layouttools.make_spacing_vector(0, 0, 8, 0)\n",
      "    lilypond_file.paper_block.system_system_spacing = spacing_vector"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lilypond_file = make_lilypond_file(Duration(1, 4), 11, 6)\n",
      "show(lilypond_file)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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arQLUaBWgRqsANVoFqJVadWh6wT+xHklLHibk3YyflgN4mFIY21ibYcOcraYU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\nc2NyaXB0IDkuMTSds1xYAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}