Benchmark: Check better performance

Script Preparation code:

function anas(array, arraysCount) {

	let arrayLength = array.length;

	if( arrayLength == 0 ) {
  	return array;
  }
  
  if( arraysCount > arrayLength ) {
  	return array;
  }
  
  let result = [];
  let newArray = [];
  
	const newArraysLength = arrayLength % arraysCount == 0  ? Math.floor( arrayLength / arraysCount) : Math.ceil ( arrayLength / arraysCount);
  
  // We loop 
  for( let i = 0 ; i < arrayLength; i++ ) {
    if( i % newArraysLength == 0 ) {
    	if( i > 0 ) {
      	result.push( newArray );
        newArray = [];
      }
    }
    
    newArray.push( array[i] );
  }
  
  let canBeSplitEqually = ( ( arrayLength  ) % newArraysLength == 0 );
  console.log("canBeSplitEqually = ", canBeSplitEqually);
  
  if( !( canBeSplitEqually ) ) {
  	result.push( newArray );
  }

	return result;
}

function nabil  (
  array,
  n
)  {

  const elementsPerGroup = Math.round(array.length / n);
  let result = [];
  let positionIndex = 0;
  for (let i = 1; n >= i; i++) {
    const lastIndex =
      i === n
        ? array.length - positionIndex + positionIndex
        : elementsPerGroup + positionIndex;
    result.push(array.slice(positionIndex, lastIndex));
    positionIndex = positionIndex + elementsPerGroup;
  }
  return result;
};

Tests:

Anas
anas([1, 2, 3, 4, 5], 3)
Nabil
nabil([1, 2, 3, 4, 5], 3)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Anas
Nabil

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

The provided JSON represents a JavaScript benchmark test case on the MeasureThat.net website. The test measures the performance of two different functions: `anas` and `nabil`, which are designed to split an array into smaller sub-arrays.

**Benchmark Definition**

The benchmark definition is represented by the `Script Preparation Code` field, which contains the code for each function:

* `function anas(array, arraysCount)`: This function takes an array `array` and an integer `arraysCount` as input. It returns a new array where each element of the original array is part of a sub-array with a length equal to `arraysCount`. The function uses a loop to iterate over the elements of the original array, pushing them onto a new array in chunks of size `arraysCount`.
* `function nabil(array, n)`: This function takes an array `array` and an integer `n` as input. It returns a new array where each element of the original array is part of a sub-array with a length equal to `n`. The function uses a loop to iterate over the elements of the original array, slicing it into chunks of size `n`.

**Options Compared**

The two functions compare different approaches to splitting an array:

* `anas`: This function splits the array into sub-arrays using a fixed chunk size (`arraysCount`). It uses a dynamic approach to determine when to start a new sub-array.
* `nabil`: This function splits the array into sub-arrays using a variable chunk size (`n`). It uses a static approach, where each element is part of a sub-array with a fixed length.

**Pros and Cons**

Here are some pros and cons of each approach:

* `anas`:
	+ Pros: More predictable performance, as the chunk size is constant.
	+ Cons: May lead to unnecessary memory allocations and copies if the array is not divisible by the chunk size.
* `nabil`:
	+ Pros: Can take advantage of variable-length arrays, which may be more efficient for certain data sets.
	+ Cons: Performance can be less predictable, as the chunk size varies.

**Library Usage**

Neither function uses any external libraries. The `Math.round()` function is used to calculate the number of elements per group in both functions.

**Special JS Features or Syntax**

None of the functions use any special JavaScript features or syntax that are not standard ECMAScript.

**Other Alternatives**

If you wanted to split an array into sub-arrays, other approaches could include:

* Using `Array.prototype.slice()` and a loop to create an array of sub-arrays.
* Using a library like Lodash's `chunk()` function to split the array into sub-arrays.
* Using a custom implementation that uses a more efficient data structure, such as a bucketing or hashing approach.

In terms of performance optimization, you could consider using:

* `Array.prototype.reduce()` to create an array of sub-arrays in a single pass.
* `Array.prototype.map()` and `Array.prototype.filter()` to split the array into sub-arrays without modifying the original array.
* Using a Just-In-Time (JIT) compiler or a native code generator to optimize the performance-critical parts of the function.

Note that these are just some possible alternatives, and the best approach will depend on the specific requirements and constraints of your use case.

Related benchmarks:

Check better performance (version: 0)

Comparing performance of: Anas vs Nabil

Created: 2 years ago by: Guest

Jump to the latest result

Anas

Nabil

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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