Benchmark: JS Rounding Performance Test

Script Preparation code:
var nums = [
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Tests:
toFixed
var roundFixedWidth = function(num, width) { return +(num.toFixed(width)); } for (var i = 0; i < nums.length; i++) { var foo = roundFixedWidth(nums[i], 2); }
Math.round
var roundWithPrecision = function(num, width) { var multiplier = Math.pow(10, width); return Math.round(num * multiplier) / multiplier; } for (var i = 0; i < nums.length; i++) { var foo = roundWithPrecision(nums[i], 2); }
Rendered benchmark preparation results:
Suite status: <idle, ready to run>

Previous results
Test case name	Result
toFixed
Math.round
Fastest: N/A

Slowest: N/A

Latest run results:
No previous run results

This benchmark does not have any results yet. Be the first one to run it!
Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.
I'll provide the code to parse and analyze the provided benchmark data.
Here's a JavaScript function that extracts relevant information from the input string:
```javascript
function parseBenchmarkData(data) {
  const individualTestCases = JSON.parse(data.individualTestCases);
  const latestBenchmarkResult = JSON.parse(data.latestBenchmarkResult);
const testCases = [];
  individualTestCases.forEach((testCase) => {
    const testName = testCase.TestName;
    const benchmarkDefinition = testCase.BenchmarkDefinition;
    const rawUAString = latestBenchmarkResult.find((result) => result.TestName === testName).RawUAString;
const browser = latestBenchmarkResult.find((result) => result.TestName === testName).Browser;
    const devicePlatform = latestBenchmarkResult.find((result) => result.TestName === testName).DevicePlatform;
    const operatingSystem = latestBenchmarkResult.find((result) => result.TestName === testName).OperatingSystem;
    const executionsPerSecond = latestBenchmarkResult.find((result) => result.TestName === testName).ExecutionsPerSecond;
testCases.push({
      BenchmarkDefinition,
      TestName,
      RawUAString,
      Browser,
      DevicePlatform,
      OperatingSystem,
      ExecutionsPerSecond,
    });
  });
return testCases;
}
const parsedData = parseBenchmarkData(data);
console.log(parsedData);
```
This code assumes that the input `data` object has two properties: `individualTestCases` and `latestBenchmarkResult`. The function extracts the relevant information from each individual test case and creates an array of objects containing the benchmark definition, test name, raw UA string, browser, device platform, operating system, and executions per second.
Note that this code uses `JSON.parse()` to parse the JSON strings into JavaScript objects. Make sure to handle any potential errors that may occur during parsing.
Once you run this code with your input data, it will output an array of objects containing the parsed benchmark data:
```json
[
  {
    "BenchmarkDefinition": "var roundFixedWidth = function(num, width) {\r\n  return +(num.toFixed(width));\r\n}\r\n\r\nfor (var i = 0; i < nums.length; i++) {\r\n  var foo = roundFixedWidth(nums[i], 2);\r\n}\r\n",
    "TestName": "toFixed",
    "RawUAString": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.119 Safari/537.36",
    "Browser": "Chrome 64",
    "DevicePlatform": "Other",
    "OperatingSystem": "Mac OS X 10.13.2",
    "ExecutionsPerSecond": 92.73797607421875
  },
  {
    "BenchmarkDefinition": "var roundWithPrecision = function(num, width) {\r\n  var multiplier = Math.pow(10, width);\r\n\r\n  return Math.round(num * multiplier) / multiplier;\r\n}\r\n\r\nfor (var i = 0; i < nums.length; i++) {\r\n  var foo = roundWithPrecision(nums[i], 2);\r\n}\r\n",
    "TestName": "Math.round",
    "RawUAString": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.119 Safari/537.36",
    "Browser": "Chrome 64",
    "DevicePlatform": "Other",
    "OperatingSystem": "Mac OS X 10.13.2",
    "ExecutionsPerSecond": 147.7742156982422
  }
]
```
Related benchmarks:
JS Rounding Performance Test (version: 3)

Comparing performance of: toFixed vs Math.round

Created: 8 years ago by: Registered User

Jump to the latest result

toFixed

Math.round

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):
