Benchmark: native intersect vs lodash intersection 3

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js'></script>

Script Preparation code:

function intersect(...array) {
    var s = new Set();
    for(var a of array) {
        for(var item of a) {
            s.add(item)
        }
    }
    return [...s];
}
var a1 = [];
var a2 = [];
var a3 = [];
for (var i = 0; i < 1000; i++) {
  a1.push(~~(Math.random() * 100))
  a2.push(~~(Math.random() * 100))
  a3.push(~~(Math.random() * 100))
}

Tests:

native
intersect(a1, a2, a3);
lodash
_.intersection(a1, a2, a3);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
native
lodash

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.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark test case on the MeasureThat.net website. The test aims to compare the performance of two intersection functions: a native implementation and a version from the popular JavaScript library Lodash.

**Test Cases**

There are two individual test cases:

1. **Native Intersect**: This test case uses a custom, inline implementation of an intersection function. The code creates a set data structure using the `Set` constructor and iterates over three arrays (`a1`, `a2`, and `a3`) to add elements to the set. Finally, it returns an array containing all unique elements from the set.
2. **Lodash Intersection**: This test case uses the Lodash library's `intersection` function, which is a part of the Lodash utility belt.

**Options Compared**

The two options being compared are:

* Native Intersect (custom implementation)
* Lodash Intersection

**Pros and Cons**

Here are some pros and cons of each approach:

### Native Intersect

Pros:

* **No external dependencies**: This implementation does not rely on any external libraries, making it a lightweight option.
* **Control over implementation details**: As the author of this code, you have complete control over how the intersection is implemented.

Cons:

* **Code complexity**: The custom implementation can be more complex and harder to maintain than using an existing library like Lodash.
* **Lack of optimization**: Without access to Lodash's optimization techniques, this implementation may not be as efficient in terms of performance.

### Lodash Intersection

Pros:

* **Optimized for performance**: Lodash has optimized its `intersection` function for speed and efficiency.
* **Well-tested and maintained**: Lodash is a widely used and well-maintained library, which means that the `intersection` function has been thoroughly tested and reviewed by a community of developers.

Cons:

* **External dependency**: Using an external library like Lodash introduces an additional dependency, which can affect performance or lead to compatibility issues.
* **Less control over implementation details**: By using an existing library, you have less control over how the intersection is implemented and optimized.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for common tasks such as array manipulation, object transformation, and more. The `intersection` function is part of Lodash's "Utility Functions" section, which aims to provide simple and efficient solutions for common problems.

**Special JS Feature: Arrow Functions**

The custom implementation uses arrow functions (`=>`) for concise and readable code. Arrow functions are a feature introduced in ECMAScript 2015 that allows for shorter function expressions without the need for `function` keywords. They are useful for simplifying code, making it easier to read and write.

**Other Alternatives**

If you were to implement an intersection function from scratch, other alternatives could include:

* Using a data structure like a `multiset` or a `treap` data structure to store unique elements.
* Implementing a more efficient algorithm for finding intersections, such as using bit manipulation or bitwise operations.

However, these approaches would likely result in more complex code and may not be as optimized for performance as the native implementation or Lodash's `intersection` function.

Related benchmarks:

native intersect vs lodash intersection 3 (version: 0)

Comparing performance of: native vs lodash

Created: 4 years ago by: Guest

Jump to the latest result

native

lodash

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):