Benchmark: unique coordinates

Script Preparation code:

var coordinates = [];

for (var i=0; i< 1e4; i++) {
	coordinates.push(
      Math.round((Math.random()*360-180)*1e7)/1e7, 
      Math.round((Math.random()*360-180)*1e7)/1e7
    )
}

Tests:

Array from - Set
var unique = Array.from(new Set(coordinates.reduce((r, a, i) => (i % 2 ? r[r.length - 1].push(a) : r.push([a]), r), []).map(a => a.join('|'))), s => s.split('|').map(Number));
For loops
var map = []; var unique = []; for (var i = 0; i < coordinates.length; i += 2) { var val = coordinates[i] + '|' + coordinates[i + 1]; if (map.indexOf(val) === -1) { map.push(val); unique = unique.concat( [coordinates[i], coordinates[i+1] ]) } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array from - Set
For loops

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 dive into explaining the provided benchmark and its different approaches.

**Benchmark Overview**

The provided benchmark measures the performance of two JavaScript methods for generating unique coordinates from an array of random numbers. The benchmark is defined in JSON format, which includes:

1. Script preparation code: A script that generates a large array of random coordinates.
2. Html preparation code: Empty string, indicating no HTML-related setup is needed.
3. Individual test cases:
	* "Array from - Set": Compares the performance of using `Array.from()` and a Set data structure to generate unique coordinates.
	* "For loops": Compares the performance of using two nested for loops to generate unique coordinates.

**Approach 1: Array.from() and Set**

This approach uses the `Array.from()` method to create an array from the set of unique coordinates, and then uses the Set data structure to efficiently eliminate duplicates. The script preparation code generates a large array of random coordinates, which is then passed to the `Array.from()` method.

Pros:

* Efficient use of memory, as the Set data structure only stores unique values.
* Fast lookup and elimination of duplicates using the Set's built-in methods.

Cons:

* May not be suitable for very large datasets, as it requires additional memory allocation.
* Can be slower than other approaches due to the overhead of creating an array from a set.

**Approach 2: For loops**

This approach uses two nested for loops to generate unique coordinates. The outer loop iterates over the array, and the inner loop appends each coordinate to an array.

Pros:

* Suitable for very large datasets, as it only requires additional memory allocation for the output array.
* Can be faster than other approaches due to the simplicity of the loop structure.

Cons:

* Inefficient use of memory, as multiple arrays are created and appended to.
* Slow lookup and elimination of duplicates using nested loops.

**Other Considerations**

* Using `map()` instead of a Set would eliminate duplicates, but would also add unnecessary overhead due to function calls.
* Using a different data structure, such as an object or a priority queue, might provide better performance for specific use cases, but would likely incur additional overhead.
* The benchmark does not account for the number of unique coordinates generated. If the dataset is very large, this might be a significant factor in determining performance.

**Library and Special JS Features**

The benchmark uses the `Array.from()` method, which is a standard JavaScript method introduced in ECMAScript 2015 (ES6). It also uses the Set data structure, which has been part of JavaScript since ES5. No special JS features or syntax are used in this benchmark.

**Alternatives**

Other approaches to generating unique coordinates might include:

* Using `Reduce()` instead of `Array.from()`
* Using a library like Lodash's `uniqBy()` function
* Using a different data structure, such as an object or a priority queue
* Using a custom implementation using bitwise operations or other optimization techniques.

It is worth noting that the optimal approach will depend on the specific requirements and constraints of the use case. This benchmark provides a basic comparison of two approaches, but further testing and analysis may be necessary to determine the best solution for a particular problem.

Related benchmarks:

unique coordinates (version: 0)

Comparing performance of: Array from - Set vs For loops

Created: 8 years ago by: Guest

Jump to the latest result

Array from - Set

For loops

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):