Benchmark: Unique - MeasureThat.net

Script Preparation code:

var array = Array.from({length: 40}, () => Math.floor(Math.random() * 140));

Tests:

Set spread
const f = [... new Set(array)]
Array from set
const s = new Set(array) const l = Array.from(s)
Filter
const b = array.filter((i,index) => array.indexOf(i)!== index)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Set spread
Array from set
Filter

Fastest: N/A

Slowest: N/A

Latest run results:

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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 data and explain what's being tested, compared, and analyzed.

**Benchmark Definition**

The `Script Preparation Code` section contains a simple JavaScript code that generates an array of 40 random integers between 0 and 139 using the `Array.from()` method. This code is executed to prepare for the benchmarking process.

**Individual Test Cases**

There are three test cases defined:

1. **Set spread**: The benchmark tests how fast the `Array.prototype.push()` or `Set.prototype.add()` methods can be used with an array created using the spread operator (`const f = [... new Set(array)]`).
2. **Array from set**: The second test case compares the performance of creating an array from a `Set` object (`const s = new Set(array)` and then taking the result to an array using `Array.from(s)`).
3. **Filter**: The third test case tests the performance of the `Array.prototype.filter()` method, which creates a new array with all elements that pass the test implemented by the provided function.

**Options Compared**

The benchmarking process compares two main approaches for each test case:

* Set spread (Test 1): Using the spread operator to create a new set from an array.
* Array from set (Test 2): Creating a `Set` object from an array and then converting it back to an array using `Array.from()`.
* Filter (Test 3): Using `Array.prototype.filter()` to filter elements in the original array.

**Pros and Cons of Different Approaches**

1. **Set spread (Test 1)**:
	* Pros: Can be more efficient since it only creates a new set, not an entire array.
	* Cons: May have slower performance for very large arrays due to the overhead of creating a set.
2. **Array from set (Test 2)**:
	* Pros: Creates an array with the same elements as the original, making it easier to work with.
	* Cons: Can be slower since it involves two steps: creating a `Set` and then converting it back to an array.
3. **Filter (Test 3)**:
	* Pros: Simple and efficient for filtering a small subset of elements from a large array.
	* Cons: Creates a new filtered array, which can consume more memory.

**Library Usage**

None of the test cases use any external libraries or frameworks. They rely solely on built-in JavaScript features.

**Special JS Features or Syntax**

There are no special JS features or syntax used in these test cases. However, it's worth noting that the `Array.from()` method is a relatively modern feature introduced in ECMAScript 2015 (ES6).

**Other Alternatives**

If you're interested in exploring alternative approaches, here are a few options:

* Using `Map` instead of `Set` for creating an array with unique elements.
* Using a different filtering approach, such as using the `Array.prototype.reduce()` method to sum up elements that pass a certain condition.
* Comparing performance with other languages or frameworks, if applicable.

Keep in mind that these alternatives might not be directly comparable to the original test cases and may require adjustments to the benchmarking code.

Related benchmarks:

Unique (version: 0)

Comparing performance of: Set spread vs Array from set vs Filter

Created: 6 years ago by: Guest

Jump to the latest result

Set spread

Array from set

Filter

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):