Benchmark: lodash xor alternatives Copy 3

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

function dec2hex (dec) {
  return dec < 10
    ? '0' + String(dec)
    : dec.toString(16)
}

function generateId (len) {
  var arr = new Uint8Array((len || 40) / 2)
  window.crypto.getRandomValues(arr)
  return Array.from(arr, dec2hex).join('')
}

var a = []
var b = []
for( let i = 0; i < 1000; i++)
{
  a[i] = generateId(16)
  b[i] = generateId(16)
}

Tests:

current xor implementation
const res = _.xor(a,b)
alternative with Sets
function xor(...arrs) { const processSet = (set1, set2, targetSet) => { for (const item of set1) { if (!set2.has(item)) { targetSet.add(item); } } }; const xorValues = arrs .reduce((current, next) => { const newSet = new Set(); const nextSet = new Set(next); processSet(current, nextSet, newSet); processSet(nextSet, current, newSet); return newSet; }, new Set()); return Array.from(xorValues); } const res = xor(a,b)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
current xor implementation
alternative with Sets

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 24 days ago):

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark is testing two different implementations of the XOR (exclusive or) operation: one using Lodash's `xor` function, and another custom implementation using Sets.

**Lodash's `xor` Function**

The Lodash `xor` function is a utility function that takes multiple arrays as input and returns an array containing elements that are present in only one of the input arrays. The benchmark uses this function to compare its performance with a custom implementation.

**Custom Implementation using Sets**

The custom implementation uses Sets to perform the XOR operation. It reduces an array of Arrays into a single Set, which is then converted back into an Array containing unique elements from each original array.

**Comparison and Considerations**

Both implementations have pros and cons:

* **Lodash's `xor` Function:**
	+ Pros:
		- Well-tested and optimized function
		- Easy to use and understand
	+ Cons:
		- May not be as efficient as a custom implementation, especially for large arrays
		- Includes an external dependency (Lodash)
* **Custom Implementation using Sets:**
	+ Pros:
		- Can be highly optimized for performance, depending on the implementation details
		- Does not include any external dependencies
	+ Cons:
		- May require more effort to implement and maintain
		- Can be less intuitive or harder to understand compared to Lodash's `xor` function

**Other Alternatives**

There are other ways to implement XOR operations, such as:

* Using bitwise operators (e.g., `a ^ b`)
* Implementing a custom algorithm using bit manipulation and array indexing
* Utilizing specialized libraries or frameworks that provide optimized XOR functions (e.g., NumJS)

However, these alternatives may not be directly comparable to Lodash's `xor` function or the custom implementation using Sets, as they may have different performance characteristics, dependencies, or use cases.

**Library: Sets**

The benchmark uses Sets to perform the XOR operation in its custom implementation. A Set is a data structure that stores unique elements, allowing for efficient membership testing and addition of new elements. In this context, the Set is used to store the resulting XOR values, ensuring that each value appears only once in the final array.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntaxes being tested in this benchmark. The focus is on comparing two implementation approaches: Lodash's `xor` function and a custom implementation using Sets.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.71 Safari/537.36

Browser/OS: Chrome 97 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
current xor implementation	2871.8 Ops/sec
alternative with Sets	3603.4 Ops/sec

Related benchmarks:

lodash xor alternatives Copy 3 (version: 0)

.

Comparing performance of: current xor implementation vs alternative with Sets

Created: 2 years ago by: Guest

Jump to the latest result

current xor implementation

alternative with Sets

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 24 days ago):