/* CSC480RandomVsPerlinNoise, D. Parson, April 2020 */
// See http://faculty.kutztown.edu/parson/fall2013/distributions.pdf

size(1000,700,P2D);
background(0);
ellipseMode(CENTER);
rectMode(CENTER);
strokeWeight(2);
//randomSeed(12345);
//noiseSeed(42);
stroke(0,0,255);  // blue for random()
fill(0,0,255);
int lastx = -1, lasty = -1 ;
// https://processing.org/reference/random_.html
// https://processing.org/reference/randomSeed_.html
// 
for (int x = 0 ; x < width ; x++) {
  float y = random(height/4.0, 3*height/4.0);
  // ellipse(x, y, 2, 2);
  if (lastx > -1 && lasty > -1) {
    line(lastx, lasty, x, y);
  }
  lastx = x ;
  lasty = int(y) ;
}
// https://processing.org/reference/randomGaussian_.html
// "   Returns a float from a random series of numbers
//     having a mean of 0 and standard deviation of 1."

stroke(172,0,0);  // red for randomGaussian()
fill(172,0,0);
lastx = lasty = -1 ;
for (int x = 0 ; x < width ; x++) {
  float y = (randomGaussian()*height*0.078125+height*0.5);
    // height*0.25,height*0.75);
  // rect(x, y, 2, 2);
  if (lastx > -1 && lasty > -1) {
    line(lastx, lasty, x, y);
  }
  lastx = x ;
  lasty = int(y) ;
}

stroke(0,255,255);  // cyan for noise()
fill(0,255,255);
lastx = lasty = -1 ;
// https://processing.org/reference/noise_.html
// "The resulting value will always be between 0.0 and 1.0."
// https://processing.org/reference/noiseSeed_.html
// https://processing.org/reference/noiseDetail_.html
for (int x = 0 ; x < width ; x++) {
  float y = noise(x/40.0)*height*0.5+height*0.25;
  // rect(x, y, 2, 2);
  if (lastx > -1 && lasty > -1) {
    line(lastx, lasty, x, y);
  }
  lastx = x ;
  lasty = int(y) ;
}