Benchmark: trsasdasd - MeasureThat.net

Script Preparation code:

a = new Array(10000).fill(1);

Tests:

getUnique
const getUnique = arr => { const u = {}; const a = []; const l = arr.length; for (let i = 0; i < l; i += 1) { // eslint-disable-next-line no-prototype-builtins if (!u.hasOwnProperty(arr[i])) { a.push(arr[i]); u[arr[i]] = 1; } } return a; }; getUnique(a)
getUniqueArray
const getUniqueArray = arr => Array.from(new Set(arr)); getUniqueArray(a)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
getUnique
getUniqueArray

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 28 days ago):

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided benchmark, hosted on MeasureThat.net, aims to measure the performance of two different approaches for removing duplicates from an array in JavaScript.

**Script Preparation Code**

The script preparation code is a simple JavaScript snippet that initializes an array `a` with 10,000 elements, all set to 1. This array will be used as input for the benchmark tests.

**Benchmark Definition**

The benchmark definition is a JSON object that contains two test cases:

1. **getUnique**
	* This function takes an array as input and returns a new array containing only unique elements.
	* The implementation uses a simple approach with a loop, pushing each element to an array `a` and checking if it already exists in an object `u`. If not, it's added to the output array `a`.
2. **getUniqueArray**
	* This function also takes an array as input and returns a new array containing only unique elements.
	* The implementation uses the built-in `Array.from()` method with the `Set` constructor, which creates a set of unique elements from the input array.

**Options Compared**

The two test cases compare the performance of two different approaches:

1. **getUnique**: A custom implementation using a loop and an object to keep track of unique elements.
2. **getUniqueArray**: A built-in implementation using the `Set` constructor and `Array.from()` method.

**Pros and Cons of Each Approach**

1. **getUnique**:
	* Pros: Custom implementation, can be optimized for specific use cases.
	* Cons: More complex code, may have performance overhead due to object lookup.
2. **getUniqueArray**:
	* Pros: Built-in method, efficient and lightweight.
	* Cons: May have limited control over the optimization process.

**Library Used**

Neither of the test cases uses a library explicitly, but the `Set` constructor is a built-in JavaScript feature that provides an efficient way to store unique elements. The `Array.from()` method is also a standard JavaScript method for converting an array to another type of iterable.

**Special JS Features or Syntax**

None mentioned in this explanation, as the tests focus on simple algorithmic approaches rather than leveraging advanced JavaScript features like async/await, promises, or decorators.

**Other Alternatives**

Other alternatives for removing duplicates from an array could include:

1. Using a library like Lodash or Ramda, which provide optimized functions for common tasks.
2. Utilizing modern JavaScript features like `Map` or `WeakSet` to store unique elements.
3. Implementing a more complex algorithm, such as using a hash table or a trie data structure.

These alternatives would depend on the specific requirements and constraints of the project, such as performance, readability, and maintainability.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 YaBrowser/23.7.4.696 (beta) Yowser/2.5 Safari/537.36

Browser/OS: Yandex Browser 23 on Windows

View result in a separate tab

Test name	Executions per second
getUnique	15544.4 Ops/sec
getUniqueArray	16135.1 Ops/sec

Related benchmarks:

trsasdasd (version: 0)

Comparing performance of: getUnique vs getUniqueArray

Created: one year ago by: Guest

Jump to the latest result

getUnique

getUniqueArray

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 28 days ago):