Benchmark: unique coordinates

Script Preparation code:

var coords = [
        35.7790733, -5.8453983,
        35.779335, -5.8465283,
        35.7790733, -5.8453983,
        35.779705, -5.84782
];

var coordinates = [];

for (var i=0; i< 1000; i++) {
	coordinates = coordinates.concat(coords.slice())
}

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 temp = []; var unique = []; var uniqueCoords = []; for (var i = 0; i < coordinates.length; i += 2) { temp.push(coordinates[i] + '|' + coordinates[i + 1]); // create some strings } for (var i = 0; i < temp.length; i++) { if (unique.indexOf(temp[i]) === -1) // remove duplicates unique.push(temp[i]); } for (var i = 0; i < unique.length; i++) { // split the strings back into array uniqueCoords = uniqueCoords.concat(unique[i].split('|')); }

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.

I'd be happy to help you understand what's being tested in this benchmark.

**Benchmark Definition**

The benchmark definition represents the JavaScript code that is used to prepare the test data and create the benchmark. In this case, the code snippet "var coords = [...]" creates an array of coordinates, which are then used to generate a set of unique strings. The purpose of this script preparation code is to create a large dataset that will be processed by different methods.

**Options Compared**

The two test cases compare different approaches to remove duplicates from the dataset:

1. **Array.from(new Set(coordinates.reduce((r, a, i) => ...)))**: This method uses the `Set` data structure and the `reduce()` function to iterate over the coordinates array. It creates an array of unique strings by joining each coordinate with a pipe character (`|`) and pushing them onto an internal array (not visible in the code snippet). The `Array.from()` function then converts this internal array into a new array.
2. **For loops**: This method uses two nested for loops to iterate over the coordinates array. It creates an array of strings by concatenating each coordinate with a pipe character (`|`), and then removes duplicates using the `indexOf()` function.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **Array.from(new Set(coordinates.reduce((r, a, i) => ...)))**:
	* Pros: Efficient use of memory, as it only stores unique strings in memory.
	* Cons: Can be slower due to the overhead of creating a `Set` object and iterating over it.
2. **For loops**:
	* Pros: Easy to understand and implement, can be faster for small datasets.
	* Cons: Inefficient use of memory, as it creates multiple strings in memory.

**Libraries Used**

None, but it's worth noting that the `Set` data structure is a built-in JavaScript object that provides efficient set operations.

**Special JS Features or Syntax**

The benchmark uses the following features:

1. **Arrow functions**: The `reduce()` function is an arrow function.
2. **Template literals**: The `join('|')` expression is using template literals to concatenate strings.

**Other Considerations**

When writing benchmarks, it's essential to consider factors such as dataset size, browser support, and execution time. In this case, the benchmark uses a relatively small dataset (1000 coordinates) and runs on multiple browsers (Chrome 60).

If you're interested in exploring alternative approaches or optimizing these methods for performance, here are some additional options:

1. **Use `Map` instead of `Set`**: For larger datasets, using a `Map` object can be more efficient than a `Set`.
2. **Use a `StringJoiner` library**: There are libraries available that provide optimized string joining and concatenation functionality.
3. **Parallelize the benchmark**: Running multiple iterations in parallel can improve performance by leveraging multi-core processors.

Keep in mind that optimizing JavaScript code for performance can be complex, and it's often necessary to consider trade-offs between memory usage, execution time, and code readability.

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):