@stsoftware/neat-ai@0.121.0

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import { assert } from "jsr:@std/assert@^1.0.8";
import { ensureDirSync } from "jsr:@std/fs@^1.0.6";
import { Creature } from "../src/Creature.ts";
import type { CreatureInternal } from "../src/architecture/CreatureInterfaces.ts";
import type { SynapseTrace } from "../src/architecture/SynapseInterfaces.ts";
import type { TrainOptions } from "../src/config/TrainOptions.ts";
import { train } from "./TrainTestOnlyUtil.ts";

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

Deno.test("ifPropagation", () => {
  const json: CreatureInternal = {
    neurons: [
      { type: "input", index: 0 },
      { type: "input", index: 1 },
      { type: "input", index: 2 },
      {
        type: "output",
        squash: "IF",
        index: 3,
        bias: 0,
      },
    ],
    synapses: [
      { from: 0, to: 3, weight: 0.9, type: "condition" },
      { from: 1, to: 3, weight: 1.1, type: "positive" },
      { from: 2, to: 3, weight: 0.95, type: "negative" },
    ],
    input: 3,
    output: 1,
  };

  const ts = [];
  for (let i = 100; i--;) {
    for (let j = 100; j--;) {
      if (i == 50) continue;
      const condition = Math.random() * 2 - 1;
      const positive = Math.random();
      const negative = Math.random();
      const item = {
        input: [condition, positive, negative],
        output: [condition > 0 ? positive : negative],
      };

      ts.push(item);
    }
  }

  const traceDir = ".trace";
  ensureDirSync(traceDir);

  let foundUsed = false;

  const options: TrainOptions = {
    iterations: 1,
    targetError: 0,
  };
  const creature = Creature.fromJSON(json);

  const result = train(creature, ts, options);

  const traceJson = result.trace;
  Deno.writeTextFileSync(
    ".trace/ifPropagation.json",
    JSON.stringify(traceJson, null, 2),
  );
  let usedCount = 0;
  if (traceJson) {
    traceJson.synapses.forEach((c: SynapseTrace) => {
      if (c.trace && c.trace.used) {
        usedCount++;
      }
    });
  }

  if (usedCount > 1) {
    foundUsed = true;
  }

  assert(
    foundUsed,
    "Should have traced usage",
  );

  if (traceJson) {
    traceJson.neurons.forEach((n) => {
      assert(Math.abs(n.bias) < 1, `Invalid bias ${n.bias}`);
    });
  }
});