Benchmark: Somethign - MeasureThat.net

Tests:

A
'https://spray.widen.net/content/oqnfu4pcak/web/patterns-other-full-cone-group-660x370.jpeg'.match(/(?<width>[0-9]{2,})x[0-9]{2,}.*\.jp(e)?g/i)
B
'https://spray.widen.net/content/oqnfu4pcak/web/patterns-other-full-cone-group-660x370.jpeg'.match(/(?<width>[0-9]{2,})x[0-9]{2,}.*\.jpe?g$/i)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
A
B

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36

Browser/OS: Chrome 109 on Windows

View result in a separate tab

Test name	Executions per second
A	11287801.0 Ops/sec
B	13313702.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what's being tested, compared, and considered.

**Benchmark Definition**

The benchmark definition is a JSON object with the following properties:

* `Name`: The name of the benchmark (e.g., "Something").
* `Description`: An optional description of the benchmark.
* `Script Preparation Code`: An optional code snippet that's executed before running the benchmark.
* `Html Preparation Code`: An optional code snippet that's executed before rendering the benchmark.

In this case, all properties are null, which means no script preparation or HTML preparation code is required for the benchmark.

**Individual Test Cases**

The test cases are an array of objects with two properties:

* `Benchmark Definition`: A string containing a regular expression (regex) pattern that matches a URL. The regex pattern is designed to extract the width from the URL.
* `Test Name`: A descriptive name for each test case (e.g., "A" and "B").

There are two test cases:

1. Test case A: Matches URLs with a `.jpeg` extension.
2. Test case B: Matches URLs with a `.jpg` extension.

**Latest Benchmark Result**

The latest benchmark result is an array of objects containing information about the browser that executed each test case. The properties include:

* `RawUAString`: The raw User Agent string from the browser.
* `Browser`: A human-readable description of the browser (e.g., "Chrome 109").
* `DevicePlatform`: The device platform used by the browser (e.g., "Desktop").
* `OperatingSystem`: The operating system used by the browser (e.g., "Windows").
* `ExecutionsPerSecond`: The number of executions per second for each test case.
* `TestName`: A reference to the corresponding test case (A or B).

Now, let's discuss the options being compared and their pros and cons:

1. **Regex Pattern**: The regex patterns used in test cases A and B are designed to extract the width from the URL. The main difference between the two is that `test_case_A` uses `.jpeg` while `test_case_B` uses `.jpg`. This distinction might be relevant if the benchmark aims to measure performance differences between these two image file formats.
	* Pros: Simple and straightforward approach.
	* Cons: Might not cover all possible image file formats or variations.
2. **Browser**: The browser being tested is Chrome 109, with a desktop platform and Windows operating system.
	* Pros: Focuses on a specific browser and environment, allowing for more accurate results.
	* Cons: Limited to this particular browser and configuration.

Considerations:

* **Image file formats**: If the benchmark aims to measure performance differences between various image file formats or encodings (e.g., JPEG 2000, PNG), additional test cases would be necessary.
* **Browser versions and platforms**: The benchmark only tests Chrome 109 on desktop with Windows. Testing other browsers, versions, and platforms would provide a more comprehensive view of the benchmark's performance.
* **Device platform**: The benchmark only considers desktop devices. Mobile or tablet devices would require different testing scenarios.

Other alternatives to consider:

1. **Testing multiple image file formats**:
	* Add test cases for different image file formats (e.g., JPEG 2000, PNG, WebP).
2. **Browsing multiple browsers and platforms**:
	* Test other popular browsers like Firefox, Safari, or Edge.
	* Include different operating systems (e.g., macOS, Linux) and device platforms (e.g., mobile, tablet).
3. **Using a more comprehensive test suite**:
	* Consider using a test framework like Jest or Mocha to create and run multiple tests.
	* Add additional test cases for various scenarios, such as error handling, caching, or parallel processing.

By considering these alternatives, you can expand the scope of your benchmark and gain a better understanding of its performance characteristics.

Related benchmarks:

Somethign (version: 0)

Comparing performance of: A vs B

Created: one year ago by: Guest

Jump to the latest result

A

B

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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