Benchmark: Lodash, Set, Array comparison v2

HTML Preparation code:

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

Script Preparation code:

const rand = () => Math.floor(Math.random() * 1000)

var arrays = Array(12).fill(null).map(()=>Array(81).fill(null))

arrays = arrays.map((b) => {return b.map(c => {return rand()})})

Tests:

Lodash
_.intersection(...arrays)
Array
arrays.reduce((a, b) => a.filter(c => b.includes(c)))
Set
new Set(...arrays)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Array
Set

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON benchmark definition and test cases.

**Benchmark Overview**

The benchmark measures the performance of three different data structures: Lodash, Set, and Array. The goal is to compare how efficiently each data structure can find common elements between two arrays.

**Options Compared**

The three options being compared are:

1. **Lodash**: A popular JavaScript utility library that provides a wide range of functions for manipulating arrays and objects.
2. **Set**: A built-in JavaScript data structure that stores unique values in a specific order.
3. **Array**: The native JavaScript array data structure, which can be used to store and manipulate collections of values.

**Pros and Cons**

* **Lodash**: Provides a simple and efficient way to find common elements between two arrays using the `_.intersection` function. However, it requires importing the Lodash library, which may add overhead.
* **Set**: Offers a fast and memory-efficient way to store unique values in an array-like data structure. However, it requires creating a new Set object, which can be costly in terms of memory allocation.
* **Array**: Provides a lightweight and flexible way to manipulate arrays, but requires manual implementation of the common element detection logic.

**Library Used**

The `lodash` library is used in the benchmark definition for the Lodash test case. It provides the `_.intersection` function, which takes two arrays as input and returns an array containing only the elements that are present in both input arrays.

**Special JavaScript Feature or Syntax**

There doesn't appear to be any special JavaScript features or syntax used in this benchmark. The code is relatively straightforward and uses standard JavaScript constructs.

**Other Alternatives**

If you want to implement a similar benchmark, here are some alternatives:

* Use `filter()` method on the array to find common elements.
* Create a custom function that iterates over one of the arrays and checks for presence in the other array using `includes()`.
* Use a different library or framework that provides an efficient array intersection algorithm.

**Benchmark Preparation Code Explanation**

The script preparation code generates two arrays of random integers, each with 81 elements. The `fill()` method is used to initialize the arrays with null values, and then the `map()` method is used to generate random numbers for each element in the array. This creates a large dataset that can be used to benchmark the performance of each data structure.

The HTML preparation code includes a script tag that loads the Lodash library from a CDN.

Related benchmarks:

Lodash, Set, Array comparison v2 (version: 0)

Comparing performance of: Lodash vs Array vs Set

Created: 3 years ago by: Guest

Jump to the latest result

Lodash

Array

Set

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):