Benchmark: Regex vs Forloop Performance

HTML Preparation code:

var string = "passw)odas4gsdfsdf";

Script Preparation code:

var string = "aaaaabbbbbccccddd";

Tests:

RegEx
var s = string.match(/([a-zA-Z])\1*/g)||[]; return s.map(function(itm){ return [itm.charAt(0), itm.length]; });
For Loop
var result = [[string[0], 1]] for(let i = 1; i < string.length; i++) { const char = string[i] const lastChar = result.at(-1) if(char === lastChar[0]){ lastChar[1] = lastChar[1] + 1 } else { result.push([char, 1]) } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
RegEx
For Loop

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

I'd be happy to help explain the benchmark.

**Overview of the Benchmark**

The provided JSON represents a JavaScript microbenchmark that tests the performance of two approaches: regular expressions (RegEx) and a for-loop-based approach. The benchmark is designed to measure how fast each approach can process a specific string.

**Test Cases**

There are two test cases:

1. **RegEx**: This test case uses the `match` method with a regular expression to extract repeated characters from the input string. The extracted characters are then mapped to an array of arrays, where each inner array contains the character and its length.
2. **For Loop**: This test case uses a traditional for-loop approach to iterate through the input string and process it in chunks. It keeps track of the last processed character and increments its count if the current character matches.

**Library Used**

There is no library explicitly mentioned in the benchmark definition, but the `match` method used in the RegEx test case is a built-in JavaScript method that can be considered part of the ECMAScript standard.

**Special JS Features/Syntax**

The benchmark uses some advanced JavaScript features:

* **Arrow Functions**: The `map` and `forEach` methods are used with arrow functions, which are a concise way to define small functions.
* **Template Literals**: The HTML preparation code uses template literals, which allow you to embed expressions inside string literals.

**Pros and Cons of Each Approach**

Here's a brief analysis of the pros and cons of each approach:

* **RegEx**:
	+ Pros:
		- More concise and readable than traditional for-loop code
		- Can be more efficient if used correctly (e.g., with `g` flag)
	+ Cons:
		- May have higher overhead due to the regular expression engine
		- Can be slower if the input string is very large or complex
* **For Loop**:
	+ Pros:
		- Can be more predictable and easier to optimize for large inputs
		- Avoids the overhead of regular expression engines
	+ Cons:
		- More verbose and harder to read than RegEx code
		- May require more manual management of variables and indices

**Other Considerations**

* **Input String Size**: The performance difference between RegEx and for-loop approaches may vary depending on the size of the input string. For very large strings, the for-loop approach might be slower due to memory allocation and deallocation overhead.
* **Regular Expression Flags**: Using flags like `g` can significantly impact performance, as it allows the regular expression engine to process the entire string in a single pass.
* **JavaScript Engine Optimizations**: Modern JavaScript engines (e.g., V8) have various optimizations that can affect the performance of RegEx and for-loop approaches. For example, they may use caching or reusing compiled regular expressions.

**Alternatives**

If you're interested in exploring alternative approaches, here are a few options:

* **Using `String.prototype.reduce()`**: Instead of using `map`, you could use `reduce` to process the extracted characters.
* **Using `String.prototype.split()` and `Array.prototype.map()`**: Splitting the input string into an array and then mapping over it can be another approach to process the extracted characters.
* **Using a Different Data Structure**: Depending on your specific requirements, using a different data structure (e.g., a trie or a suffix tree) might provide better performance for certain types of strings.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36

Browser/OS: Chrome 102 on Windows

View result in a separate tab

Test name	Executions per second
RegEx	2541434.5 Ops/sec
For Loop	273720.7 Ops/sec

Related benchmarks:

Regex vs Forloop Performance (version: 0)

-

Comparing performance of: RegEx vs For Loop

Created: 2 years ago by: Guest

Jump to the latest result

RegEx

For Loop

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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