Benchmark: Regex testing for whitespace vs trim

Script Preparation code:

var string = '  	 	 	 ';
var regPattern = new RegExp(/\A\s*\z/g);

Tests:

regex
regPattern.test(string)
trim
string.trim().length === 0

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
regex
trim

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36

Browser/OS: Chrome 122 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
regex	13625882.0 Ops/sec
trim	22432358.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared, and their pros and cons.

**Benchmark Overview**

The benchmark is designed to compare the performance of two approaches: using regular expressions (regex) to test for whitespace characters versus using the `trim()` method.

**Script Preparation Code**

The script preparation code defines a string variable `string` containing only whitespace characters (`"  \t \t \t "`). It also creates a regex pattern `regPattern` that matches one or more whitespace characters (`/\\A\\s*\\z/g`) from the start (`\\A`) to the end (`\\z`) of the string.

**Html Preparation Code**

There is no HTML preparation code provided, which means that the benchmark only tests the JavaScript code.

**Test Cases**

The benchmark consists of two test cases:

1. **regex**: This test case runs the `regPattern.test(string)` expression, which attempts to match the regex pattern against the input string.
2. **trim**: This test case runs the expression `string.trim().length === 0`, which removes all whitespace characters from the input string and checks if the resulting length is 0.

**Comparison**

The benchmark compares the performance of these two approaches:

* Using regex to test for whitespace characters (`regex` test case)
* Using the `trim()` method to remove whitespace characters (`trim` test case)

**Pros and Cons**

Here's a brief analysis of each approach:

### Regex Approach (`regex` test case)

Pros:

* Can be more flexible, as it can match various types of whitespace characters (e.g., tabs, newline characters).
* Can be used for other purposes beyond just checking for whitespace.

Cons:

* Typically slower than the `trim()` method due to the overhead of compiling and executing a regex pattern.
* More complex and harder to read for simple use cases.

### Trim Approach (`trim` test case)

Pros:

* Faster, as it relies on a built-in JavaScript method that has been optimized for performance.
* Easier to read and understand, as it's a straightforward operation.

Cons:

* May not be suitable for all scenarios, such as when working with non-ASCII characters or requiring more advanced whitespace matching capabilities.

**Library Usage**

The `trim()` method uses the built-in JavaScript String.prototype.trim() method, which is implemented in V8 (the JavaScript engine used by Google Chrome).

**Special JS Features/Syntax**

There are no special features or syntax used in this benchmark that would require specific knowledge of JavaScript beyond what's discussed above.

**Other Alternatives**

If you wanted to compare the performance of different approaches to remove whitespace characters, other alternatives might include:

* Using a string manipulation library like String.prototype.replace() with a regex pattern.
* Implementing a custom whitespace removal function using loops and conditional statements.
* Utilizing a regular expression with a specific syntax, such as `\s+` or `[^\S]`, which may be more efficient than the `trim()` method for certain use cases.

Keep in mind that these alternatives would require additional code and analysis to determine their performance characteristics.

Related benchmarks:

Regex testing for whitespace vs trim (version: 0)

Comparing performance of: regex vs trim

Created: 4 years ago by: Guest

Jump to the latest result

regex

trim

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):