Benchmark: regex vs includ - MeasureThat.net

Script Preparation code:

var string = "https://assets.im-g.pl/_next/static/chunks/483.a4b2da6fa7f574b9.js";
var regex = /_next\/static\/[chunks|css]+.*(\.js|css).*(?<!br)$/gm;

Tests:

rege
regex.test(string);
include
(string.includes("/_next/static/chunks/") || string.includes("/_next/static/css/")) && !string.includes(".jsbr") && !string.includes(".cssbr")

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
rege
include

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

The provided JSON represents a benchmark test case that compares the performance of two approaches: using regular expressions (regex) and string inclusion methods. Here's a breakdown of what's being tested:

**Script Preparation Code**

```javascript
var string = "https://assets.im-g.pl/_next/static/chunks/483.a4b2da6fa7f574b9.js";
var regex = /_next\/static\/[chunks|css]+.*(\\.js|css).*(?<!br)$/gm;
```

In this code, a sample string `string` is defined, which contains the URL of an asset. The regular expression `regex` is also defined to match certain patterns in the string.

**Html Preparation Code**

There is no HTML preparation code provided, so we won't explore that aspect further.

**Benchmark Definition**

The benchmark definition consists of two test cases:

1. `rege`: This test case calls the `regex.test(string)` function.
2. `include`: This test case uses the `includes()` method to check if the string contains certain patterns.

Now, let's discuss the pros and cons of each approach:

**Regular Expressions (Regex)**

Pros:

* Regular expressions are powerful pattern-matching tools that can be used for more complex matching tasks.
* They are often faster than string inclusion methods for large datasets.

Cons:

* Regular expressions can be slower due to their complexity and the need to compile them.
* They require more memory allocation, as they create a pattern object in memory.

**String Inclusion Methods**

Pros:

* String inclusion methods are generally faster than regular expressions, especially for simple patterns.
* They are easier to understand and maintain, as they don't require compiling a complex pattern.

Cons:

* String inclusion methods may not be suitable for complex matching tasks or large datasets.
* They can lead to slower performance if the strings are very long or contain many matches.

**Library: RegExp**

The `RegExp` library is used in the regular expression definition. It's a built-in JavaScript library that provides support for regular expressions.

**Special JS Feature/Syntax: None**

There are no special JavaScript features or syntaxes being tested in this benchmark.

Now, let's discuss other alternatives to these approaches:

* **Slicing**: Instead of using `includes()`, you could use slicing to extract the relevant parts of the string. This approach can be faster for certain types of data.
* **String Searching Algorithms**: There are various string searching algorithms available, such as Knuth-Morris-Pratt (KMP) or Boyer-Moore, that can be used for matching patterns in strings. These algorithms can be more efficient than regular expressions or string inclusion methods.

In summary, the benchmark test case compares two approaches to matching patterns in a string: using regular expressions and string inclusion methods. The pros and cons of each approach are discussed, along with alternative methods that can be used depending on the specific use case.

Related benchmarks:

regex vs includ (version: 0)

Comparing performance of: rege vs include

Created: 3 years ago by: Guest

Jump to the latest result

rege

include

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):