Benchmark: NESTEST3 - MeasureThat.net

Script Preparation code:

function logg(text){
  console.log(text);
}

Tests:

Standard
var x = 100; for(var i=0;i<=100;i++){ logg((() => i * 2)()); }
ES6
var x = 100; for(var i=0;i<=100;i++){ logg((function(){return i * 2;})()); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Standard
ES6

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 4 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and explore what's being tested in this benchmark.

**Benchmark Context**

MeasureThat.net is a website where users can create and run JavaScript microbenchmarks to compare different approaches, libraries, or features. The goal is to identify which method performs better under various scenarios.

**Benchmark Definition JSON**

The provided Benchmark Definition JSON defines two tests:

1. **NESTEST3**
	* Script Preparation Code: `function logg(text){\r\n  console.log(text);\r\n}`
	* This code defines a custom logging function `logg` that simply outputs the input text to the console.
2. The HTML preparation code is empty, indicating that no additional HTML setup is required for these tests.

**Individual Test Cases**

The two individual test cases are:

1. **Standard**
	* Benchmark Definition: `var x = 100;\r\nfor(var i=0;i<=100;i++){\r\n   logg((() => i * 2)());\r\n}`
	* This code performs a simple loop, logging the result of an immediately invoked function expression (IIFE) that calculates `i * 2` for each iteration.
2. **ES6**
	* Benchmark Definition: `var x = 100;\r\nfor(var i=0;i<=100;i++){\r\n   logg((function(){return i * 2;})());\r\n}`
	* This code is similar to the Standard test, but uses an arrow function instead of a traditional function declaration.

**Libraries and Features**

In both tests, the custom logging function `logg` is used. In JavaScript, this function is not part of any standard library, so it's likely defined by MeasureThat.net for their specific use case.

**Special JS Feature/ Syntax**

Both test cases use arrow functions (`() => i * 2`) and traditional function expressions `(function(){return i * 2;})()` in the loop. These are two different ways to define a function in JavaScript, with arrow functions being more concise but also having some differences in behavior and compatibility.

**Pros and Cons**

Here's a brief summary of the pros and cons of using arrow functions versus traditional function expressions:

* **Arrow Functions (ES6+):**
	+ Pros:
		- Concise syntax
		- Implied return type
		- Lexical scoping
	+ Cons:
		- Not compatible with older JavaScript engines
		- Limited control over the scope of `this`
* **Traditional Function Expressions:**
	+ Pros:
		- More control over the scope of `this`
		- Compatible with older JavaScript engines
	+ Cons:
		- Longer syntax
		- Explicit return type required

**Other Alternatives**

If MeasureThat.net were to modify these tests, they might consider using alternative approaches, such as:

* Using different logging libraries or frameworks (e.g., Lodash's `log` function)
* Introducing other custom functions or variables into the benchmarks
* Changing the type of loops or iterations used in the benchmarks

However, without more information about the specific goals and requirements of MeasureThat.net, it's difficult to predict alternative approaches that might be considered.

Latest run results:

Run details: (Test run date: 6 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36

Browser/OS: Chrome 67 on Windows

View result in a separate tab

Test name	Executions per second
Standard	8.2 Ops/sec
ES6	3.2 Ops/sec

Related benchmarks:

NESTEST3 (version: 0)

Comparing performance of: Standard vs ES6

Created: 6 years ago by: Guest

Jump to the latest result

Standard

ES6

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 4 days ago):