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This release is 136 versions behind 0.168.1 — the latest version of @stsoftware/neat-ai. Jump to latest

@stsoftware/neat-ai@0.121.0
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stSoftwareAU/NEAT-AI

NEAT Neural Network. This project is a unique implementation of a neural network based on the NEAT (NeuroEvolution of Augmenting Topologies) algorithm, written in DenoJS using TypeScript.

This package works with Deno
This package works with Deno
JSR Score
94%
Published
5 months ago (0.121.0)
Package root>test>CreatureStore.ts
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import { assert } from "jsr:@std/assert@^1.0.8";
import { emptyDirSync } from "jsr:@std/fs@^1.0.6";
import type { NeatOptions } from "../src/config/NeatOptions.ts";
import { Creature } from "../src/Creature.ts";

((globalThis as unknown) as { DEBUG: boolean }).DEBUG = true;

Deno.test("storePopulation", async () => {
  const network = new Creature(2, 1, {
    layers: [
      { count: 2 },
    ],
  });
  const ts = [];
  for (let i = 100; i--;) {
    for (let j = 100; j--;) {
      if (i == 50) continue;
      const item = {
        input: [i, j],
        output: [Math.sqrt(i * i + j * j)],
      };

      ts.push(item);
    }
  }

  const dir = ".creatures";
  emptyDirSync(".creatures");
  const options: NeatOptions = {
    iterations: 10,
    creatureStore: dir,
    threads: 1,
  };
  await network.evolveDataSet(ts, options);

  let creatureCount = 0;
  for (const dirEntry of Deno.readDirSync(dir)) {
    if (dirEntry.name.endsWith(".json")) {
      creatureCount++;
    }
  }
  assert(
    creatureCount > 1,
    "Should have stored the creatures was: " + creatureCount,
  );
});