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+<meta name="description" content="2D Perlin gradient noise, deterministic, in [-1, 1].">
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+  <div class="item-head">
+    <span class="kind-badge kind-method">method</span>
+    <h1 id="top">Noise.perlin2</h1>
+  </div>
+  <code class="sig">Noise.perlin2(x, y, seed) -&gt; fixed</code>
+  <div class="desc"><p>Samples 2D **Perlin gradient noise** at <code>(x, y)</code> for the given <code>seed</code> and returns a <a href="type-fixed"><code>fixed</code></a> in <code>[-1, 1]</code>. Instead of a random value per lattice point, Perlin places a random gradient at each corner and interpolates their dot products with the offset vectors — which gives smoother, more natural gradients than value noise, the familiar look of classic terrain and cloud fields. By construction the value is exactly <code>0</code> at every integer lattice point.</p><p>Deterministic in fixed point across platforms and runs. Scale the coordinates to set feature size, and stack octaves with <a href="noise-fbm2"><code>Noise.fbm2</code></a> for richer detail.</p></div>
+  <div class="params"><h2>Parameters</h2><div class="param" id="param-seed"><code class="pname">seed</code><span class="pdesc">the field selector</span></div></div>
+  <div class="examples"><h2>Example</h2><pre data-lang="ludic">program Perlin {
+  entry {
+    let seed = 1337
+    if Noise.perlin2(fixed(0), fixed(0), seed) == 0 { print(1) }   # zero at the lattice
+    let n = Noise.perlin2(fixed(10) / fixed(3), fixed(7) / fixed(3), seed)
+    print(Math.floor(n * fixed(1000)))
+  }
+}</pre></div>
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