Benchmark: map - named function vs anonymous function

Script Preparation code:

function xxx (x){return x.slice()};
a=[[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],
   [2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],
   [3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
   ];
function t1 () { return a.map(xxx) }
function t2 () { return a.map(x=>x.slice()) }

Tests:

test1
t1();
test2
t2();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test1
test2

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 and explain what's being tested.

**Benchmark Definition**

The benchmark defines two functions: `t1` and `t2`. Both functions are intended to map over an array using the `map()` method.

`t1` is a named function that takes an input `x` and returns its slice value. It uses the arrow function syntax (`xxx => x`) which is syntactic sugar for a function expression.

`t2` is an anonymous function, also taking an input `x`, but returning its slice value directly without any additional processing.

**Options Compared**

The two functions are compared in terms of their performance. The goal is to determine which approach is faster.

**Pros and Cons**

1. **Named Function (`t1`)**:
	* Pros: Easier to read and understand, especially for developers familiar with named functions.
	* Cons: May incur additional overhead due to the name lookup, which can lead to slower performance compared to anonymous functions.
2. **Anonymous Function (`t2`)**:
	* Pros: Typically faster, as there is no overhead associated with looking up a function name.
	* Cons: Can be less readable and maintainable for developers unfamiliar with arrow functions.

**Library Usage**

There is no explicit library usage in this benchmark. However, the `map()` method is a built-in JavaScript method that uses a proprietary V8 engine implementation under the hood. The choice between named and anonymous functions does not depend on any external libraries.

**Special JS Feature/Syntax**

The benchmark uses the arrow function syntax (`xxx => x`), which is a shorthand way of defining small, one-line functions. This syntax was introduced in ECMAScript 2015 (ES6) and has become widely adopted in modern JavaScript development.

**Other Considerations**

When writing benchmarks like this, it's essential to consider factors that may affect performance:

* Array size: The larger the array, the more elements will be mapped over, potentially affecting performance.
* Browser/Platform differences: Different browsers or platforms might have varying levels of optimization or caching that can impact benchmark results.

**Alternative Approaches**

If you're looking for alternative approaches to measure performance in JavaScript benchmarks, consider:

1. Using a different mapping algorithm, such as `forEach()` or a custom implementation using `for` loops.
2. Comparing the performance of different JIT (Just-In-Time) compilers, like V8 or SpiderMonkey.
3. Evaluating the impact of code optimization techniques, such as inlining or tail call elimination.

Keep in mind that when creating benchmarks, it's crucial to carefully consider the test cases, inputs, and any assumptions you make about the environment or hardware used for execution.

Latest run results:

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

User agent: Mozilla/5.0 (Linux; Android 13; SM-S908E) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Mobile Safari/537.36

Browser/OS: Chrome Mobile 109 on Android

View result in a separate tab

Test name	Executions per second
test1	2089443.9 Ops/sec
test2	3018494.8 Ops/sec

Related benchmarks:

map - named function vs anonymous function (version: 0)

Comparing performance of: test1 vs test2

Created: 6 years ago by: Guest

Jump to the latest result

test1

test2

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):