Benchmark: Test rgecg - MeasureThat.net

Script Preparation code:

var REGEX_URL=".*[^a-z].*";

Tests:

url
"http://www.google.com?q=Georgi+Facello".match(REGEX_URL)
long
"zwexcvbfytuhijgfvyghjvndveyusbhfdcjnmgbycfhjnmtberuncimv2345678bimfrvekmocdjnxhhbhebvhdmbfxvhebmfvhbxvmehbvnxmehfmvjehxbvjehmbxehbvhvhrvnm".match(REGEX_URL)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
url
long

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

**Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. In this analysis, we'll break down the provided JSON benchmark definition, explaining what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Definition**

The benchmark definition consists of two test cases:

1. `url`: Tests the performance of a URL matching using the regular expression `REGEX_URL`.
2. `long`: Tests the performance of a long string matching using the same regular expression `REGEX_URL`.

The script preparation code for both tests is identical, using a regex pattern to match non-alphabetic characters in URLs:
```javascript
var REGEX_URL = "\".*[^a-z].*\"";
```
This means that we're testing how fast JavaScript can match a URL against this specific regular expression.

**Options Compared**

There are two main options being compared:

1. **`url` test**: Tests the matching of a short, valid URL.
2. **`long` test**: Tests the matching of a long, invalid string (a sequence of random characters).

The pros and cons of these approaches are:

* **Pros**:
	+ `url` test: This is a more typical use case for regular expression matching, as it's commonly used to validate URLs.
	+ `long` test: This tests the performance of matching long strings, which can help identify issues with regex engine optimization or string handling.
* **Cons**:
	+ `url` test may not accurately represent real-world usage, as most URLs are much shorter than this example.
	+ `long` test may be skewed by the random characters in the input string, making it harder to compare results across different browsers.

**Library Usage**

There is no explicit library mentioned in the benchmark definition. However, it's likely that the JavaScript runtime (e.g., V8) and its regex engine are being used under the hood to execute the regular expressions.

**Special JS Features or Syntax**

None of the provided code snippets use any special JavaScript features or syntax beyond standard JavaScript and regex.

**Other Considerations**

* The benchmark definition doesn't specify a specific browser or platform for execution. MeasureThat.net likely executes these tests on multiple platforms and browsers.
* The `ExecutionsPerSecond` value indicates how many times each test is executed per second, which can impact the accuracy of the results.

**Alternatives**

If you were to recreate this benchmark, consider using a more representative input string or URL pattern for the `url` test. For the `long` test, you could use a longer, valid URL or a different input format to avoid skewing the results.

Additionally, if you wanted to compare performance across multiple browsers or platforms, you could:

* Use a testing framework like JSDOM or WebKit Nightly
* Execute the tests on various platforms (e.g., Windows, macOS, Linux) and browsers (e.g., Chrome, Firefox)
* Consider using a more robust benchmarking tool like BenchmarkJS

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36

Browser/OS: Chrome 92 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
url	3007301.2 Ops/sec
long	1640237.6 Ops/sec

Related benchmarks:

Test rgecg (version: 0)

Comparing performance of: url vs long

Created: 3 years ago by: Guest

Jump to the latest result

url

long

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):