Benchmark: String from Charcode test 2

Script Preparation code:

var chars = [239,15,2,1,227,15,118,2,68,63,49,59,56,90,0,44,15,143,1,206,15,251,7,255,56,15,43,2,206,15,225,0,255,74,15,135,3,255,56,15,74,1,71,15,0,3,255,74,15,92,1,242,15,172,8,44,15,63,0,107,15,194,1,242,15,5,1,224,15,118,2,65,15,184,11,255,17,63,49,59,56,234,6,71,15,90,0,218,15,180,3,224,15,243,0,255,56,15,42,3,218,15,237,0,161,15,235,2,255,56,15,74,1,255,8,15,3,9,65,15,84,0,86,15,215];
function test1(arr) {
  const l = arr.length;
  var i = 0;
  var s = "";
  for(;i<l;i++){
    s+=String.fromCharCode(arr[i]);
  }
  return s;
}
function test2(arr) {
  return String.fromCharCode.apply(null, arr);
}
function test3(arr) {
  const l = arr.length;
  var i = 0;
  var a = [];
  for(;i<l;i++){
    a[i]=String.fromCharCode(arr[i]);
  }
  return a.join("");
}

Tests:

For-loop
var t1 = test1(chars);
String.fromCharCode.apply
var t2 = test2(chars);
join method
var t3 = test3(chars);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
For-loop
String.fromCharCode.apply
join method

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what is being tested.

**Benchmark Definition**

The benchmark definition provides three test cases:

1. `For-loop`: This test case uses a traditional for loop to concatenate characters from an array using `String.fromCharCode` and concatenation (`+`).
2. `String.fromCharCode.apply`: This test case uses the `String.fromCharCode.apply(null, arr)` method to apply `String.fromCharCode` to each element in the array.
3. `join method`: This test case uses the `join()` method to concatenate characters from an array using `String.fromCharCode`.

**Library Used**

None of these tests use a specific library.

**Special JS Features/Syntax**

These tests do not use any special JavaScript features or syntax, such as async/await, Promises, or ES6+ features like classes, modules, or destructuring.

Now, let's discuss the pros and cons of each approach:

1. **For-loop**: This approach is straightforward and easy to understand. However, it can be slower due to the overhead of string concatenation using the `+` operator.
2. **String.fromCharCode.apply**: This approach uses a method that was available in older versions of JavaScript (before ES6). It's faster than the for-loop approach because it avoids the overhead of string concatenation. However, it may not be as readable or maintainable for some developers.
3. **join method**: This approach is similar to the `String.fromCharCode.apply` method but uses a built-in method that's more efficient and concise. However, its performance might vary depending on the browser implementation.

**Other Considerations**

When choosing between these approaches, consider the trade-offs between readability, maintainability, and performance. If you need to concatenate characters from an array in a specific context, choose the approach that best fits your needs.

As for alternatives, if you want to use newer JavaScript features or more concise syntax, you could consider using:

* `Array.prototype.map()` and `String.fromCharCode()`
* `Array.prototype.reduce()` with `String.fromCharCode()`

However, these approaches might not be as efficient or readable as the original test cases.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36

Browser/OS: Chrome 81 on Mac OS X 10.14.6

View result in a separate tab

Test name	Executions per second
For-loop	52863.6 Ops/sec
String.fromCharCode.apply	1437327.6 Ops/sec
join method	49835.7 Ops/sec

Related benchmarks:

String from Charcode test 2 (version: 0)

Comparing performance of: For-loop vs String.fromCharCode.apply vs join method

Created: 4 years ago by: Guest

Jump to the latest result

For-loop

String.fromCharCode.apply

join method

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):