1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
|
package blood
// import org.openrndr.extra.timer.repeat
import blood.*
import org.openrndr.WindowMultisample
import org.openrndr.application
import org.openrndr.color.*
import org.openrndr.draw.*
import org.openrndr.extra.shadestyles.fills.gradients.gradient
import org.openrndr.math.IntVector2
import org.openrndr.math.Vector2
import org.openrndr.shape.Rectangle
import phenax.utils.*
fun main() = application {
recordDuration(15.seconds())
if (captureEnabled) {
configure {
width = 1920
height = 1080
windowResizable = false
multisample = WindowMultisample.SampleCount(8)
}
} else {
configure {
width = 640
height = 360
windowResizable = false
}
}
oliveProgram {
val cell_size = 3.0
val cell_count = IntVector2(width, height) / cell_size.toInt()
val config = getConfig()
var cells: Cells = Array(cell_count.y) { Array(cell_count.x) { Vector2(1.0, 0.0) } }
config.initializeState(cells)
val feedRate = config.feedRate
val killRate = config.killRate
val diffusion = config.diffusion
fun laplaceThyNeighbour(row: Int, col: Int): Vector2 {
var d = Vector2.ZERO
for (i in -1 until 2) {
for (j in -1 until 2) {
val r = row + i
val c = col + j
val weight = if (i == 0 && j == 0) -1.0 else if (i == 0 || j == 0) 0.2 else 0.05
if (r >= 0 && r < cell_count.y && c >= 0 && c < cell_count.x) d += cells[r][c] * weight
}
}
return d
}
fun coerceIn(v: Vector2, min: Double, max: Double): Vector2 {
return Vector2(v.x.coerceIn(min, max), v.y.coerceIn(min, max))
}
fun nextState(dt: Double): Cells {
return Array(cell_count.y) { row ->
var f = feedRate
var k = killRate
Array(cell_count.x) { col ->
val d = cells[row][col]
val lapl = laplaceThyNeighbour(row, col)
val u = -d.x * d.y * d.y + f * (1 - d.x)
val v = d.x * d.y * d.y - (f + k) * d.y
var change = lapl * diffusion + Vector2(u, v)
coerceIn(d + change * dt, 0.0, 1.0)
}
}
}
fun srgb(r: Double, g: Double, b: Double): ColorRGBa {
return ColorRGBa(Math.pow(r, 2.2), Math.pow(g, 2.2), Math.pow(b, 2.2))
}
val col_flesh = srgb(0.53, 0.20, 0.20)
val col_blood = srgb(0.34, 0.00, 0.00)
val col_s1 = srgb(0.06, 0.28, 0.8)
val col_s2 = srgb(0.90, 0.71, 0.13)
val col_s3 = srgb(0.04, 0.38, 0.34)
val col_s4 = srgb(0.07, 0.1, 0.88)
val col_bg = col_s1.shade(0.1)
fun drawCell(pos: Vector2, amounts: Vector2) {
var color = col_bg.opacify(0.0)
// run {
// val noiseScale = 0.99
// val noise = perlinLinear(100, pos.x * noiseScale, pos.y * noiseScale)
// color = mix(color, col_bg.shade(1.1).opacify(0.14), noise)
// }
// color = mix(color, col_blood, (amounts.y * 3).coerceIn(0.0, 1.0))
// if (amounts.y > 0.38) color = mix(color, ColorRGBa.BLACK, amounts.y * 0.08)
// if (amounts.y > 0.40) color = mix(color, ColorRGBa.WHITE, amounts.y * 0.28)
val v = (amounts.y * 3).coerceIn(0.0, 1.0)
color = mix(color, col_s1, v)
if (amounts.y > 0.20) color = mix(color, col_s1, v)
if (amounts.y > 0.26) color = mix(color, col_s2, v)
if (amounts.y > 0.30) color = mix(color, col_s1, v)
if (amounts.y > 0.34) color = mix(color, col_s1.shade(0.4), v)
drawer.fill = color
drawer.stroke = drawer.fill
drawer.rectangle(pos.x * cell_size, pos.y * cell_size, cell_size, cell_size)
}
extend { repeat(config.iterationsPerFrame) { cells = nextState(0.8) } }
extend {
drawer.clear(col_bg)
drawer.shadeStyle =
gradient<ColorRGBa> {
stops[0.4] = col_bg
stops[0.9] = col_bg.shade(0.65)
radial {}
}
drawer.rectangle(
Rectangle.fromCenter(drawer.bounds.center, width.toDouble(), height.toDouble())
)
drawer.shadeStyle = null
drawer.strokeWeight = 0.0
for ((row, rowdiff) in cells.withIndex()) {
for ((col, diff) in rowdiff.withIndex()) {
drawCell(Vector2(col.toDouble(), row.toDouble()), diff)
}
}
}
}
}
|