Benchmark: Regex vs split/join - space to dash 2

Script Preparation code:

var str = 'Abcd efghij klmnopqrstuv wxy Abcd efghij klmnopqrstuv wxy Abcd efghij klmnopqrstuv wxyAbcd efghij klmnopqrstuv wxy Abcd efghij klmnopqrstuv wxy Abcd efghij klmnopqrstuv wxy';

Tests:

Regex
str.replace(/\s+/g, "-");
Split and Join
str.split(' ').join('-');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Regex
Split and Join

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark data.

**Benchmark Definition**

The benchmark is designed to compare two approaches for replacing spaces with dashes in a string: using regular expressions (`Regex`) versus splitting the string into individual words and joining them back together with dashes (`Split and Join`).

**Options Compared**

Two options are being compared:

1. **Regular Expressions (Regex)**: This approach uses a pattern to match one or more whitespace characters (`\\s+`) and replaces them with a single dash (`-`).
2. **Split and Join**: This approach splits the input string into individual words using spaces as delimiters, and then joins these words back together with dashes.

**Pros and Cons**

Here are some pros and cons of each approach:

* **Regular Expressions (Regex)**:
	+ Pros: More flexible and powerful for complex text processing tasks.
	+ Cons: Can be slower due to the overhead of parsing the regular expression pattern, and may not perform as well on very large input strings.
* **Split and Join**:
	+ Pros: Typically faster and more lightweight than using regular expressions, making it suitable for high-performance applications.
	+ Cons: Less flexible and less powerful for complex text processing tasks.

**Library/Features Used**

The benchmark does not explicitly use any external libraries or special JavaScript features. However, it relies on built-in string methods like `replace()`, `split()`, and `join()`.

**Test Case Considerations**

In this benchmark, we have two test cases:

1. **Regex**: This test case uses the `str.replace()` method with a regular expression pattern to replace spaces with dashes.
2. **Split and Join**: This test case uses the `str.split()` and `str.join()` methods to split the input string into individual words and join them back together with dashes.

**Other Alternatives**

If you wanted to measure performance of other approaches, here are some alternative options:

* Using a different character set for replacement (e.g., `\t` or `\n`)
* Adding more complexity to the regular expression pattern (e.g., incorporating anchors or quantifiers)
* Using a different approach for splitting and joining strings (e.g., using `substring()` instead of `split()`)
* Measuring performance with different input string sizes
* Comparing performance across different browsers, platforms, or devices

Note that the choice of alternative approaches depends on your specific requirements and goals for the benchmark.

Latest run results:

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

User agent: Mozilla/5.0 (Android 4.2.2; Tablet; rv:68.0) Gecko/68.0 Firefox/68.0

Browser/OS: Android 4 on Android 4.2.2

View result in a separate tab

Test name	Executions per second
Regex	41221.4 Ops/sec
Split and Join	39032.4 Ops/sec

Related benchmarks:

Regex vs split/join - space to dash 2 (version: 0)

Comparing performance of: Regex vs Split and Join

Created: 2 years ago by: Guest

Jump to the latest result

Regex

Split and Join

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):