Benchmark: New set vs UniqWith

HTML Preparation code:

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

Script Preparation code:

var MyArr = Array.from({length: 10000}, () => Math.floor(Math.random() * 40));

var myCopy = null;

Tests:

uniqWith
myCopy = _.uniqWith(MyArr);
New Set
myCopy = [...new Set(MyArr)]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
uniqWith
New Set

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36

Browser/OS: Chrome 128 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
uniqWith	5682.7 Ops/sec
New Set	5662.3 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months 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 designed to compare two approaches for removing duplicates from an array: `uniqWith` from the Lodash library, and the built-in `Set` data structure in JavaScript (via the `New Set` approach).

**Script Preparation Code**

The script preparation code creates a large random array `MyArr` with 10,000 elements. It also initializes a variable `myCopy` to null.

**Html Preparation Code**

The HTML preparation code includes a reference to the Lodash library (version 4.17.5) in the format `https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js`.

**Benchmark Definitions**

There are two benchmark definitions:

1. **`myCopy = _.uniqWith(MyArr)`**: This line uses the `uniqWith` function from Lodash to remove duplicates from the `MyArr` array. The `_` symbol is a reference to the Lodash library, which provides this utility function.
2. **`myCopy = [...new Set(MyArr)]`**: This line creates a new `Set` object from the `MyArr` array and then uses the spread operator (`...`) to create a new array containing only the unique elements.

**Comparison**

The two approaches are being compared in terms of their performance, measured by the number of executions per second.

**Pros and Cons:**

1. **`uniqWith`**: This approach uses a third-party library (Lodash) and provides a more concise way to remove duplicates. However, it may introduce additional overhead due to the library's presence.
	* Pros: Efficient and easy to use.
	* Cons: Requires an external dependency, which might not be desirable for all projects.
2. **`New Set`**: This approach uses the built-in `Set` data structure in JavaScript, which is a lightweight and efficient way to remove duplicates.
	* Pros: Lightweight, fast, and doesn't require an external library.
	* Cons: Can be less concise than using `uniqWith`.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string manipulation, and more. In this benchmark, the `_` symbol refers to the Lodash library, which includes the `uniqWith` function.

**Special JS Feature/ Syntax: None**

There are no special JavaScript features or syntax used in this benchmark that would require explanation.

**Other Alternatives:**

1. **Using Array.prototype.filter()**: Another way to remove duplicates from an array is by using the `filter()` method with a callback function.
2. **Using Map**: Creating a new `Map` object and adding elements to it can also be used to remove duplicates, as `Map` automatically eliminates duplicate keys.

Here's an example of how you could rewrite the benchmark using `Array.prototype.filter()`:
```javascript
myCopy = MyArr.filter((element, index) => {
  return MyArr.indexOf(element) === index;
});
```
And here's an example of how you could use a `Map` to remove duplicates:
```javascript
const map = new Map();
MyArr.forEach(element => map.set(element, true));
myCopy = Array.from(map.keys());
```

Related benchmarks:

New set vs UniqWith (version: 0)

Comparing performance of: uniqWith vs New Set

Created: 4 months ago by: Guest

Jump to the latest result

uniqWith

New Set

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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