Filter Generator Tuning Patch

diff --git a/code.js b/code.js
index 346f3af..6868483 100644
--- a/code.js
+++ b/code.js
@@ -1,4 +1,5 @@
 "use strict";
+const LOG_DEBUG = process.argv.includes("--debug");

 class Color {
     constructor(r, g, b) { this.set(r, g, b); }
@@ -111,6 +112,7 @@ class Solver {

     solve() {
         let result = this.solveNarrow(this.solveWide());
+        if(LOG_DEBUG) { console.log("-----------"); }
         return {
             values: result.values,
             loss: result.loss,
@@ -149,6 +158,8 @@ class Solver {
         let highArgs = new Array(6);
         let lowArgs = new Array(6);

+        if(LOG_DEBUG) { console.log(`\nRunning SPSA for ${iters} iterations. α=${alpha} γ=${gamma} A=${A} a=${a} c=${c} θ=${values}`); }
+
         for(let k = 0; k < iters; k++) {
             let ck = c / Math.pow(k + 1, gamma);
             for(let i = 0; i < 6; i++) {
@@ -166,6 +177,8 @@ class Solver {

             let loss = this.loss(values);
             if(loss < bestLoss) { best = values.slice(0); bestLoss = loss; }
+
+            if(LOG_DEBUG && k % 10 === 0) { console.log(`Iteration ${k + 1}. Loss: ${loss.toFixed(3)} ${this.css(values)}`); }
         } return { values: best, loss: bestLoss };

         function fix(value, idx) {
@@ -206,4 +219,21 @@ class Solver {
         function fmt(idx, multiplier = 1) { return Math.round(filters[idx] * multiplier); }
         return `filter: invert(${fmt(0)}%) sepia(${fmt(1)}%) saturate(${fmt(2)}%) hue-rotate(${fmt(3, 3.6)}deg) brightness(${fmt(4)}%) contrast(${fmt(5)}%);`;
     }
 }
+const TEST_ITERATIONS = 2000;
+let color = new Color(0, 0, 0);
+let sumLoss = 0;
+let start = Date.now();
+function randRGB() { return Math.floor(Math.random() * 256); }
+
+for(let i = 0; i < TEST_ITERATIONS; i++) {
+    color.set(randRGB(), randRGB(), randRGB());
+    if(LOG_DEBUG) { console.log("Color: " + color.toString()); }
+
+    let solver = new Solver(color);
+    let result = solver.solve();
+    sumLoss += result.loss;
+}
+console.log("Average loss: " + sumLoss / TEST_ITERATIONS);
+console.log("Average time: " + (Date.now() - start) / TEST_ITERATIONS + "ms");