mohayonao

formants =
  a:[700, 1200, 2900]
  i:[300, 2700, 2700]
  u:[390, 1200, 2500]
  e:[450, 1750, 2750]
  o:[460,  880, 2800]

freq = 174.61412048339844
freq = T("+", freq, T("sin", {freq:3, mul:0.8}).kr()).kr()

mohayonao

module.exports = (grunt)->
  'use strict'

  GRUNT_CHANGED_PATH = '.grunt-changed-file'
  if grunt.file.exists GRUNT_CHANGED_PATH
    changed = grunt.file.read GRUNT_CHANGED_PATH
    grunt.file.delete GRUNT_CHANGED_PATH
    changed_only = (file)-> file is changed
  else
    changed_only = -> true

mohayonao

class Worker
  constructor: (@context=@)->
    @jobs = []

  register: (job) ->
    @jobs.push job

  work: ->
    job  = do @jobs.shift
    args = [=> @work.apply @, arguments].concat [].slice.call arguments

mohayonao

class ImageLoader
  map = {}
  constructor: (@src)->
    if not map[@src]
      @dfd = new $.Deferred
      map[@src] = @
    return map[@src]
  
  load: ->
    img = new Image

mohayonao

animate = (opts)->
  func = arguments[arguments.length-1]
  ifps = 1000 / (opts.fps ? 60)
  prev = 0
  _animate = (now)->
    dt = now - prev
    if dt > ifps
      result = func now, dt
      prev = now
    if result != false

mohayonao

⠀⠁⠂⠃⠄⠅⠆⠇⡀⡁⡂⡃⡄⡅⡆⡇⠈⠉⠊⠋⠌⠍⠎⠏⡈⡉⡊⡋⡌⡍⡎⡏⠐⠑⠒⠓⠔⠕⠖⠗⡐⡑⡒⡓⡔⡕⡖⡗⠘⠙⠚⠛⠜⠝⠞⠟⡘⡙⡚⡛⡜⡝⡞⡟⠠⠡⠢⠣⠤⠥⠦⠧⡠⡡⡢⡣⡤⡥⡦⡧⠨⠩⠪⠫⠬⠭⠮⠯⡨⡩⡪⡫⡬⡭⡮⡯⠰⠱⠲⠳⠴⠵⠶⠷⡰⡱⡲⡳⡴⡵⡶⡷⠸⠹⠺⠻⠼⠽⠾⠿⡸⡹⡺⡻⡼⡽⡾⡿⢀⢁⢂⢃⢄⢅⢆⢇⣀⣁⣂⣃⣄⣅⣆⣇⢈⢉⢊⢋⢌⢍⢎⢏⣈⣉⣊⣋⣌⣍⣎⣏⢐⢑⢒⢓⢔⢕⢖⢗⣐⣑⣒⣓⣔⣕⣖⣗⢘⢙⢚⢛⢜⢝⢞⢟⣘⣙⣚⣛⣜⣝⣞⣟⢠⢡⢢⢣⢤⢥⢦⢧⣠⣡⣢⣣⣤⣥⣦⣧⢨⢩⢪⢫⢬⢭⢮⢯⣨⣩⣪⣫⣬⣭⣮⣯⢰⢱⢲⢳⢴⢵⢶⢷⣰⣱⣲⣳⣴⣵⣶⣷⢸⢹⢺⢻⢼⢽⢾⢿⣸⣹⣺⣻⣼⣽⣾⣿

mohayonao

"Hello world"

Server.default = s = Server.internal.boot()

#############

play((->SinOsc.ar(LFNoise0.kr(12, mul: 600, add: 100), 0.3)))

#############

mohayonao

###

play({RLPF.ar(Dust.ar([12, 15]), LFNoise1.ar(1/[3, 4], 1500, 1600), 0.02)})

###


T(_.zip( pan=[-1,+1], dust=[12,15], freq=[1/3, 1/4] ).map ([ pan, dust, freq ])->
  T.Pan2.ar(T.RLPF.ar(T.Dust.ar(dust), LFNoise1.ar(freq, 1500, 1600), 0.02), pan)
).play()

mohayonao

class Task
  constructor: (opts={})->
    @_task  = [].slice.call arguments, 1
    @_init  = opts.init ? ->{}
    @_doMax = opts.do ? 1
    @_timer = 0

  start: ->
    @_doCount   = 0
    @_taskIndex = 0

mohayonao

dp_match = (p1, p2)->
  table = for j in [0...p2.length] by 1
     null for i in [0...p1.length] by 1

  i = j = 0
  score = table[0][0] = 1
  cands = []  

  while i < p1.length - 1 or j < p2.length - 1
    [_i, _j] = [i+1, j+1]