Benchmark: Test Replace vs Split

Script Preparation code:

var testString1 = "HelLo wHat's uP";
var testString2 = "Loremipsumalotof changes to be tested";

var testSplitTitleCase = (str) => {
    return str.split(' ')
        .map(w => w[0].toUpperCase() + w.substring(1).toLowerCase())
        .join(' ');
}

var testRegExpTitleCase = (str) => {
     return str.replace(/\w\S*/g, function (txt) {
        return txt.charAt(0).toUpperCase() + txt.substr(1).toLowerCase();
    });
}

Tests:

RegExp
testRegExpTitleCase(testString1); testRegExpTitleCase(testString2);
Test split
testSplitTitleCase(testString1); testSplitTitleCase(testString2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
RegExp
Test split

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what is being tested, compared, and other considerations.

**Benchmark Overview**

The benchmark measures the performance of two different approaches to convert a string title case: using regular expressions (`testRegExpTitleCase`) and splitting the string into words and then converting each word to title case (`testSplitTitleCase`).

**Test Case 1: "RegExp"**

In this test case, `testString1` and `testString2` are input strings that will be passed through the `testRegExpTitleCase` function. The function uses a regular expression to replace each sequence of word characters (`\\w`) followed by a non-word character (`\\S*`) with the first character in uppercase and the rest in lowercase.

**Test Case 2: "Test split"**

In this test case, `testString1` and `testString2` are input strings that will be passed through the `testSplitTitleCase` function. The function splits the string into an array of words using spaces as delimiters, maps each word to title case by capitalizing the first letter and making the rest lowercase, and then joins the words back together with spaces.

**Comparison**

The two test cases are comparing the performance of these two different approaches:

1. **Regular Expressions (`testRegExpTitleCase`)**: This approach uses a regular expression to achieve the title case conversion. Regular expressions can be powerful but may have slower execution times due to the overhead of parsing and compiling the regex pattern.
2. **String Splitting and Mapping (`testSplitTitleCase`)**: This approach splits the string into an array, maps each word to title case, and then joins them back together. This approach is often more straightforward and faster than using regular expressions.

**Pros and Cons**

* **Regular Expressions (testRegExpTitleCase)**
	+ Pros:
		- Can handle complex formatting requirements
		- May be more flexible than string splitting and mapping
	+ Cons:
		- Can be slower due to regex parsing and compiling overhead
		- More complex codebase
* **String Splitting and Mapping (testSplitTitleCase)**
	+ Pros:
		- Generally faster execution times
		- Easier to understand and maintain codebase
	+ Cons:
		- May not handle complex formatting requirements as well

**Library**

There is no explicit library mentioned in the benchmark definition, but `String.prototype.toUpperCase()` and `String.prototype.toLowerCase()` are used to achieve the title case conversion. These methods are part of the standard JavaScript API.

**Other Considerations**

* **Browser Support**: The benchmark results are for Chrome 106 on Windows Desktop. Other browsers may have different performance characteristics or support for these approaches.
* **Input Data**: The input strings `testString1` and `testString2` are chosen to demonstrate the performance difference between the two approaches. In a real-world scenario, the input data may vary in terms of size, complexity, and formatting requirements.

**Alternatives**

Other alternatives to achieve title case conversion include:

* Using the `toTitleCase()` method (available in modern JavaScript engines)
* Implementing custom functions using string manipulation techniques
* Utilizing libraries or frameworks that provide title case conversion functionality

In summary, this benchmark measures the performance of two different approaches to convert a string title case: regular expressions and string splitting and mapping. The choice between these approaches depends on the specific requirements of the application, such as performance, complexity, and maintainability.

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/106.0.0.0 Safari/537.36

Browser/OS: Chrome 106 on Windows

View result in a separate tab

Test name	Executions per second
RegExp	55109.1 Ops/sec
Test split	74634.0 Ops/sec

Related benchmarks:

Test Replace vs Split (version: 0)

Comparing performance of: RegExp vs Test split

Created: 2 years ago by: Guest

Jump to the latest result

RegExp

Test split

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):