Initial import with skill sheet working

node_modules/fastest-levenshtein/bench.js

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+"use strict";
+exports.__esModule = true;
+/* eslint-disable @typescript-eslint/no-var-requires */
+/* eslint-disable no-console */
+var Benchmark = require("benchmark");
+var mod_js_1 = require("./mod.js");
+var fast_levenshtein_1 = require("fast-levenshtein");
+var fs = require("fs");
+var jslevenshtein = require("js-levenshtein");
+var leven = require("leven");
+var levenshteinEditDistance = require("levenshtein-edit-distance");
+var suite = new Benchmark.Suite();
+var randomstring = function (length) {
+    var result = "";
+    var characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789";
+    var charactersLength = characters.length;
+    for (var i = 0; i < length; i++) {
+        result += characters.charAt(Math.floor(Math.random() * charactersLength));
+    }
+    return result;
+};
+var randomstringArr = function (stringSize, arraySize) {
+    var i = 0;
+    var arr = [];
+    for (i = 0; i < arraySize; i++) {
+        arr.push(randomstring(stringSize));
+    }
+    return arr;
+};
+var arrSize = 1000;
+if (!fs.existsSync("data.json")) {
+    var data_1 = [
+        randomstringArr(4, arrSize),
+        randomstringArr(8, arrSize),
+        randomstringArr(16, arrSize),
+        randomstringArr(32, arrSize),
+        randomstringArr(64, arrSize),
+        randomstringArr(128, arrSize),
+        randomstringArr(256, arrSize),
+        randomstringArr(512, arrSize),
+        randomstringArr(1024, arrSize),
+    ];
+    fs.writeFileSync("data.json", JSON.stringify(data_1));
+}
+var data = JSON.parse(fs.readFileSync("data.json", "utf8"));
+var _loop_1 = function (i) {
+    var datapick = data[i];
+    if (process.argv[2] !== "no") {
+        suite
+            .add("".concat(i, " - js-levenshtein"), function () {
+            for (var j = 0; j < arrSize - 1; j += 2) {
+                jslevenshtein(datapick[j], datapick[j + 1]);
+            }
+        })
+            .add("".concat(i, " - leven"), function () {
+            for (var j = 0; j < arrSize - 1; j += 2) {
+                leven(datapick[j], datapick[j + 1]);
+            }
+        })
+            .add("".concat(i, " - fast-levenshtein"), function () {
+            for (var j = 0; j < arrSize - 1; j += 2) {
+                (0, fast_levenshtein_1.get)(datapick[j], datapick[j + 1]);
+            }
+        })
+            .add("".concat(i, " - levenshtein-edit-distance"), function () {
+            for (var j = 0; j < arrSize - 1; j += 2) {
+                levenshteinEditDistance(datapick[j], datapick[j + 1]);
+            }
+        });
+    }
+    suite.add("".concat(i, " - fastest-levenshtein"), function () {
+        for (var j = 0; j < arrSize - 1; j += 2) {
+            (0, mod_js_1.distance)(datapick[j], datapick[j + 1]);
+        }
+    });
+};
+// BENCHMARKS
+for (var i = 0; i < 9; i++) {
+    _loop_1(i);
+}
+var results = new Map();
+suite
+    .on("cycle", function (event) {
+    console.log(String(event.target));
+    if (results.has(event.target.name[0])) {
+        results.get(event.target.name[0]).push(event.target.hz);
+    }
+    else {
+        results.set(event.target.name[0], [event.target.hz]);
+    }
+})
+    .on("complete", function () {
+    console.log(results);
+})
+    // run async
+    .run({ async: true });