import { assert, assertEquals } from "https://deno.land/std@0.102.0/testing/asserts.ts";
import { Label, Forward, Backward } from "./nn.ts";
import { default as M } from "./m.ts";
import { default as Methods } from "./m.ts";

let training = [];
let stages = [];
let layers = [];

let typeA = [
    [ 0.1,  0.05],
    [ 0.0, -0.06]
];
let typeB = [
    [ 0.99, 0.85],
    [ 1.2,  1.05]
];


Deno.test("check.forward", ()=>
{
    let training = [];
    let stages = [];
    let layers = [
        [
            [-0.43662948305036675, -0.368590640707799, -0.23227179558890843],
            [-0.004292653969505622, 0.38670055222186317, -0.2478421495365568],
            [0.738181366836224, 0.3389203747353555, 0.4920200816404332]
        ],
        [
            [0.5793881115472015, 0.9732593374796092, 0.15207639877016987, -0.5356575655337803]
        ]
    ];

    let typeA = [
        [ 0.1,  0.05],
        [ 0.0, -0.06]
    ];
    let typeB = [
        [ 0.99, 0.85],
        [ 1.2,  1.05]
    ];

    Label(training, typeA, [1]);
    stages.push(training[0]);
    Forward(stages, layers);
    console.log(stages);
});

/*
Deno.test("NN.Label", ()=>
{
    Label(training, typeA, [1]);
    Label(training, typeB, [0]);
    stages.push(training[0]);
    console.log(training);
    assertEquals(training.length, 2, "input and output sets created");
    assertEquals(training[0].length, training[1].length, "both sets have same length");
    assertEquals(training[0][0].length, 3, "padded input component");
    assertEquals(training[1][0].length, 1, "unchanged label vector");
});

Deno.test("NN.Backward", ()=>
{
    let layer1 = M.Create.Box([-1, -1, -1], [1, 1, 1], 2);
    let layer2 = M.Create.Box([-1, -1, -1], [1, 1, 1], 1);
    let copy1 = M.Create.Clone(layer1);
    let copy2 = M.Create.Clone(layer2);
    layers.push(layer1);
    layers.push(layer2);

    for(let i=0; i<100; i++)
    {
        Backward(stages, layers, training[1], 0.1);
    }

    assert(layers[0][0][0] != copy1[0][0], "first matrix has changed");
    assert(layers[1][0][0] != copy2[0][0], "second matrix has changed");
});


Deno.test("NN.Forward", ()=>
{
    console.log(Forward(stages, layers));
    console.log(training[1]);
});


*/