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doodle.image.examples.Smoke.scala Maven / Gradle / Ivy

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/*
 * Copyright 2015 Creative Scala
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package doodle
package image
package examples

import doodle.core.*
import doodle.random.*
import doodle.syntax.all.*

object Smoke {
  val emitter =
    Random.normal(0.0, 5.0) flatMap { x =>
      Random.normal(0.0, 5.0) map { y =>
        Point(x, y)
      }
    }

  val drift = Vec(20, 0)

  def perturb(point: Point): Random[Point] =
    Random.normal(0.0, 5.0) flatMap { x =>
      Random.normal(0.0, 5.0) map { y =>
        point + Vec(x, y) + drift
      }
    }

  def cool(color: Color): Random[Color] =
    Random.double map (_ * 0.2) map (_.normalized) map { d =>
      color.desaturateBy(d).fadeOutBy(d).spin((d.get * -100).degrees)
    }

  def widen(radius: Double): Random[Double] =
    Random.double map { r =>
      (r * 2) + radius
    }

  def particle(point: Point, color: Color, radius: Double): Image =
    Image.circle(radius).fillColor(color).noStroke.at(point.toVec)

  def step(
      point: Point,
      color: Color,
      radius: Double
  ): Random[(Point, Color, Double)] =
    perturb(point) flatMap { pt =>
      widen(radius) flatMap { r =>
        cool(color) map { c =>
          (pt, c, r)
        }
      }
    }

  def randomWalk(steps: Int): Random[Image] = {
    def loop(
        count: Int,
        point: Point,
        color: Color,
        radius: Double
    ): Random[Image] =
      count match {
        case 0 => Random.always(particle(point, color, radius))
        case n =>
          val img = particle(point, color, radius)
          step(point, color, radius) flatMap { updated =>
            val (pt, c, r) = updated
            loop(n - 1, pt, c, r).map(accum => img on accum)
          }
      }

    emitter.flatMap(pt =>
      loop(steps, pt, Color.yellow.alpha(0.7.normalized), 3)
    )
  }

  val image =
    (1 to 20).foldLeft(Random.always(Image.empty)) { (accum, _) =>
      accum.flatMap(a => randomWalk(20).map(i => i on a))
    }
}




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