Benchmark: path regex bis - MeasureThat.net

Script Preparation code:

var precomp = new RegExp(/[^A-Za-z0-9.-]+|(?=[-A-Za-z])|(?<=[A-Za-z])|(?<=\.\d+)(?=\.)/g);
var test = "M 0 0 L 10 10 L10 10 L20 20 M 0 0 L 10 10 L10 10 L20 20 M 0 0 L 10 10 L10 10 L20 20 M 0 0 L 10 10 L10 10 L20 20";

Tests:

precompiled
test.split(precomp);
literal
test.split(/[^A-Za-z0-9.-]+|(?=[-A-Za-z])|(?<=[A-Za-z])|(?<=\.\d+)(?=\.)/g);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
precompiled
literal

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.54 Safari/537.36

Browser/OS: Chrome 94 on Linux

View result in a separate tab

Test name	Executions per second
precompiled	191908.8 Ops/sec
literal	197435.8 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark information and explain what's being tested.

**Benchmark Definition:**

The benchmark definition represents a JavaScript microbenchmark that tests the performance of two approaches:

1. **Precompilation**: This approach involves compiling a regular expression pattern (`precomp`) into a more efficient form before executing it. The idea is to reuse the compiled pattern, reducing the overhead associated with creating and updating the regex object.
2. **Literal Regex**: This approach uses the original regular expression pattern directly, without precompilation.

**Precompiled Option:**

The `precomp` variable represents a compiled version of the regular expression pattern:
```javascript
var precomp = new RegExp(/[^A-Za-z0-9.-]+|(?=[-A-Za-z])|(?<=[A-Za-z])|(?<=\\.\\d+)(?=\\.)/g);
```
This regex pattern is designed to match sequences that are not valid characters (e.g., spaces, punctuation, and certain special characters). The `new RegExp` constructor creates a new regular expression object, which can be reused across multiple executions.

Pros:

* Reduced overhead associated with creating and updating the regex object
* Potential performance improvement due to reusing the compiled pattern

Cons:

* May introduce additional memory usage or garbage collection overhead due to the creation of the compiled regex object
* Might not work as expected if the original regex pattern changes significantly between runs

**Literal Regex Option:**

The `test.split(/[^A-Za-z0-9.-]+|(?=[-A-Za-z])|(?<=[A-Za-z])|(?<=\\.\\d+)(?=\\.)/g);` expression uses the original regular expression pattern directly.

Pros:

* No additional memory usage or garbage collection overhead
* Simple and straightforward approach

Cons:

* Potential performance penalty due to repeated creation and update of the regex object

**Library Used:**

The `RegExp` constructor is a built-in JavaScript library that provides support for regular expressions. It's used to create and manipulate regular expression objects.

**Special JS Feature/Syntax:**

There isn't any specific JavaScript feature or syntax being tested in this benchmark. The focus is on the two different approaches to using regular expressions, specifically precompilation versus literal usage.

**Alternatives:**

Other alternatives for this type of benchmark could involve:

* Using a different approach to compile and execute regular expressions (e.g., `String.prototype.replace()` instead of `RegExp`)
* Testing performance with different types of input data or character sets
* Comparing the performance of precompiled vs. literal regex patterns against other languages or implementations

Keep in mind that this is just one example of a benchmark, and there are many ways to approach similar tests depending on the specific requirements and goals of the project.

Related benchmarks:

path regex bis (version: 0)

Comparing performance of: precompiled vs literal

Created: 3 years ago by: Guest

Jump to the latest result

precompiled

literal

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):