Benchmark: unique coordinates

Script Preparation code:

var coordinates = [];

for (var i=0; i< 1000; 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) { map.push(coordinates[i] + '|' + coordinates[i + 1]); } new Set(map).forEach( item => { unique = unique.concat( item.split('|').map(Number) ); });

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:

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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 and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition:**

The benchmark definition is a JavaScript code snippet that generates an array of unique coordinates, which are then used to create different test cases. The script preparation code creates an empty array `coordinates` and populates it with 1000 random coordinates between -180 and 180 degrees.

**Test Cases:**

There are two test cases:

1. **Array from - Set**: This test case uses the `Array.from()` method to convert a set of unique coordinates into an array, which is then split into individual values using the `split('|')` method.
2. **For loops**: This test case uses traditional for loops to iterate over the `coordinates` array and push pairs of coordinates onto another array `map`. The resulting array is then converted into an array of unique values using a set and the `forEach()` method.

**Comparison:**

The two test cases are compared in terms of their performance. The results indicate that:

* **Array from - Set**: This approach performs better with 448 executions per second.
* **For loops**: This approach performs worse with 329 executions per second.

**Pros and Cons:**

1. **Array from - Set**:
	* Pros:
		+ More concise and readable code.
		+ Less error-prone, as it uses a built-in method to convert the set into an array.
	* Cons:
		+ May have higher overhead due to the creation of an intermediate array.
2. **For loops**:
	* Pros:
		+ Can be more efficient for large datasets, as it avoids creating an intermediate array.
	* Cons:
		+ More verbose and error-prone code.

**Libraries and Special Features:**

There are no libraries used in the benchmark definition or test cases.

**Special JS Features/Syntax:**

The following features are used:

1. **Template literals**: Used in the `map` variable assignment (`map.push(coordinates[i] + '|' + coordinates[i + 1])`).
2. **Arrow functions**: Used in the `reduce()` method callback function (`(r, a, i) => (i % 2 ? ...)`).

**Other Considerations:**

The benchmark definition uses a simple random number generator to generate the coordinates, which may not be representative of real-world usage.

Alternative approaches that could have been used include:

1. Using a library like Lodash or Underscore.js for array manipulation and set operations.
2. Using a more efficient data structure, such as a trie or suffix tree, to reduce the number of unique values.
3. Optimizing the code using techniques like loop unrolling or cache optimization.

It's worth noting that the choice of approach depends on the specific use case and requirements of the application.

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):