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import { createCanvas } from "../mod.ts";import "https://cdn.jsdelivr.net/npm/chart.js@3.9.1/dist/chart.min.js";import "https://cdn.jsdelivr.net/npm/chartjs-plugin-datalabels@2.0.0/dist/chartjs-plugin-datalabels.min.js";
Chart.register(ChartDataLabels);
console.log("Running Deno benchmark...");const denoOut = new TextDecoder().decode(  Deno.spawnSync(Deno.execPath(), {    args: ["task", "bench-deno"],    env: {      NO_COLOR: "1",    },    stdout: "piped",  }).stdout,).split("\n").map((line) => line.trim()).filter((line) => line);
console.log("Running Node benchmark...");const nodeOut = new TextDecoder().decode(  Deno.spawnSync(Deno.execPath(), {    args: ["task", "bench-node"],    env: {      NO_COLOR: "1",    },    stdout: "piped",  }).stdout,).split("\n").map((line) => line.trim()).filter((line) => line);
const cpu = denoOut[0].split(":")[1].trim();const deno = denoOut[1].split(":")[1].trim();const node = nodeOut[1].split(":")[1].trim();
const raw = [];
const combined = denoOut.concat(nodeOut);
for (let i = 2; i < combined.length; i++) {  const line = combined[i];  if (    line.startsWith("encoding:") || line.startsWith("gradient:") ||    line.startsWith("images:")  ) {    const [name, out] = line.split(":").map((s) => s.trim());    const [runtime, lib, time] = out.split(/ +/).map((s) => s.trim()).filter((      s,    ) => s);    raw.push({      name,      runtime,      lib,      time: parseFloat(time),    });  }}
console.log(`CPU: ${cpu}`);console.log(`Deno: ${deno}`);console.log(`Node: ${node}`);
const data = {  labels: [],  datasets: [],};
const benches = {};raw.forEach((bench) => {  const id = `${bench.runtime} ${bench.lib}`;  if (!benches[id]) {    benches[id] = {};  }  if (!data.labels.includes(bench.name)) {    data.labels.push(bench.name);  }  benches[id][bench.name] = bench.time;});
data.labels.push("average");
for (const bench of Object.values(benches)) {  bench["average"] = Object.values(bench).reduce((a, b) => a + b, 0) /    Object.values(bench).length;}
const backgroundColor = [  "#4285f4",  "#ea4336",  "#fbbb07",  "#34a753",  "#ff6d01",];
let i = 0;for (const [name, bench] of Object.entries(benches)) {  data.datasets.push({    label: name,    data: data.labels.map((label) => bench[label]),    borderWidth: 0,    borderRadius: 4,    backgroundColor: backgroundColor[i++],  });}
const canvas = createCanvas(800, 600);const ctx = canvas.getContext("2d");
console.log("Rendering chart...");
const _chart = new Chart(ctx, {  type: "bar",  data,  options: {    plugins: {      title: {        display: true,        text: `Canvas Benchmark (${cpu})`,      },      subtitle: {        display: true,        text: `(Lower is better)`,      },      datalabels: { // This code is used to display data values        anchor: "end",        align: "top",        formatter: Math.round,        font: {          weight: "normal",          size: 14,        },      },    },    scales: {      y: {        beginAtZero: true,        title: {          display: true,          text: "time/iter (ms)",        },      },      x: {        title: {          display: true,          text: "benchmark",        },      },    },    responsive: false,    animation: false,  },  plugins: [    {      id: "custom_canvas_background_color",      beforeDraw: (chart) => {        const { ctx } = chart;        ctx.save();        ctx.fillStyle = "white";        ctx.fillRect(0, 0, chart.width, chart.height);        ctx.restore();      },    },  ],});
canvas.save("bench/results.png");console.log("Done!");