Benchmark: yoooooo - MeasureThat.net

Script Preparation code:

function getRandomInt(min, max) {
    return Math.floor(Math.random() * (max - min + 1)) + min;
}

function createRandomIntArray(minLength, maxLength) {
    const length = getRandomInt(minLength, maxLength);
    const randomArray = [];

    for (let i = 0; i < length; i++) {
        const randomInt = i;
        randomArray.push(getRandomInt(0, maxLength));
    }

    return randomArray;
}

const minLength = 1000;
const maxLength = 1001;

var ids1 = createRandomIntArray(minLength, maxLength);
var ids2 = createRandomIntArray(minLength, maxLength);
var ids3 = createRandomIntArray(minLength, maxLength);

var target1 = createRandomIntArray(1, 50);
var target2 = createRandomIntArray(1, 50);
var target3 = createRandomIntArray(1, 50);

Tests:

set
var idsSet1 = new Set(ids1) target1.some(id => idsSet1.has(id)) var idsSet2 = new Set(ids2) target2.some(id => idsSet2.has(id)) var idsSet3 = new Set(ids3) target3.some(id => idsSet3.has(id))
array
target1.some(id => ids1.includes(id)) target2.some(id => ids2.includes(id)) target3.some(id => ids3.includes(id))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
set
array

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 benchmark and its options.

**Benchmark Definition**

The benchmark is testing two different approaches to check if an element exists in an array:

1. Using `some()` method with a callback function that checks for existence in a `Set` object created from the original array (`set` option).
2. Using `includes()` method on the original array itself (`array` option).

**Options Comparison**

Here's a comparison of the two options, including their pros and cons:

### Set Option (Test Name: "set")

* **Purpose**: To use a `Set` object to quickly check if an element exists in the array.
* **Pros**:
	+ Fast lookup time since `Set` operations are O(1) on average.
	+ Can be more memory-efficient than using arrays for large datasets.
* **Cons**:
	+ Requires extra memory allocation for creating a new `Set` object.
	+ May incur additional overhead due to the creation of the `Set` object.

### Array Option (Test Name: "array")

* **Purpose**: To use the `includes()` method on the original array itself to check if an element exists.
* **Pros**:
	+ No extra memory allocation required.
	+ Faster iteration over the array for small datasets.
* **Cons**:
	+ Slower lookup time since array searching is O(n) in the worst case.

**Library and Purpose**

The `Set` object is a built-in JavaScript library that provides a fast and efficient way to store unique values. In this benchmark, it's used to quickly check if an element exists in the original array by creating a new `Set` object from the array and then checking for existence using the `some()` method.

**Special JS Feature or Syntax**

In this benchmark, we're using the following JavaScript features:

* Arrow functions (e.g., `id => idsSet1.has(id)`).
* Template literals (e.g., `"var idsSet1 = new Set(ids1)\r\n..."`).

These features are widely supported in modern browsers and are a part of the ECMAScript 2015 standard.

**Alternatives**

If you were to use alternative approaches for this benchmark, some options could be:

* Using a `Map` object instead of `Set` to store the original array.
* Implementing a custom lookup data structure (e.g., hash table) for faster lookups.
* Using a third-party library like Lodash or Ramda for functional programming and optimization.

However, these alternatives may not provide significant performance benefits over the current implementation and may add additional complexity.

Related benchmarks:

yoooooo (version: 0)

Comparing performance of: set vs array

Created: 2 years ago by: Guest

Jump to the latest result

set

array

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):