Benchmark: set to array performance (slice, Array.from, forEach)

Tests:

Slice
const testSet = new Set([1, 2, 3]); const newTestArray = [...testSet];
Array.From
const testSet = new Set([1, 2, 3]); const newTestArray = Array.from(testSet);
forEach
const testSet = new Set([1, 2, 3]); const newTestArray = []; testSet.forEach(v => newTestArray.push(v));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Slice
Array.From
forEach

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36

Browser/OS: Chrome 92 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Slice	3064419.5 Ops/sec
Array.From	1961288.5 Ops/sec
forEach	2424872.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Definition**
The benchmark is designed to measure the performance of three different approaches for converting a Set data structure to an array:

1. Using the spread operator (`Array.from()`)
2. Using a `forEach` loop
3. Using the slice method

**Options Compared**

Here are the options being compared, along with their pros and cons:

* **Array.from()**: This approach creates a new array from the Set elements using the `Array.from()` method. Pros: concise and efficient. Cons: may have additional overhead due to function call.
* **forEach loop**: This approach iterates over each element in the Set using a `forEach` loop, pushing it to a new array. Pros: simple and easy to understand. Cons: may be slower than `Array.from()` due to the additional iteration.
* **Slice method**: This approach uses the slice method to extract a subset of elements from the original array (not applicable in this case, since we're converting from Set). Pros: none notable. Cons: not relevant to this specific benchmark.

**Library Usage**
None of the benchmark tests explicitly use any external libraries.

**Special JS Features or Syntax**
The `Set` data structure and its methods (`Array.from()`) are standard JavaScript features. The `forEach` loop is also a built-in JavaScript syntax.

**Benchmark Preparation Code**
The provided code snippet for each test case shows how to create a new Set from an array of numbers, convert it to an array using the specified approach, and then execute the conversion in a loop (for the `forEach` option).

**Other Alternatives**
If you were to implement these benchmarks using a different programming language or framework, you would likely need to:

* Use similar data structures (e.g., arrays or sets) to mimic the behavior of JavaScript's Set.
* Implement equivalent methods for array conversion (e.g., `for` loops or `map()` functions).
* Possibly use platform-specific APIs or optimized libraries for performance benchmarking.

In summary, this benchmark is designed to compare the performance of three different approaches for converting a Set data structure to an array in JavaScript. The options being compared are concise and efficient (`Array.from()`), simple but potentially slower (`forEach` loop), and not relevant (`slice method`).

Related benchmarks:

set to array performance (slice, Array.from, forEach) (version: 0)

Comparing performance of: Slice vs Array.From vs forEach

Created: 3 years ago by: Guest

Jump to the latest result

Slice

Array.From

forEach

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):