Benchmark: my super test - MeasureThat.net

Tests:

reduce + Array.prototype.concat
var params = [[ 1, 2 ], [ "hello", true, 7 ]]; var other = params.reduce((acc, val) => acc.concat(val), []);
Array.prototype.flat
var params = [[1, 2, params], [ "hello", true, 7 ]]; var other = params.flat();
Manual copy
var params = [[1, 2, params], [ "hello", true, 7 ]]; var length = 0; for(let i = 0; i < params.length; i++) { length += params[i].length; } var other = new Array(length); for(let i = 0; i < params.length; i++) { for(let j = 0; j < params[i].length; j++) { other[params[i].length * i + j] = params[i][j]; } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce + Array.prototype.concat
Array.prototype.flat
Manual copy

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:85.0) Gecko/20100101 Firefox/85.0

Browser/OS: Firefox 85 on Windows

View result in a separate tab

Test name	Executions per second
reduce + Array.prototype.concat	3774377.0 Ops/sec
Array.prototype.flat	6289948.5 Ops/sec
Manual copy	9172936.0 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, compared, and considered.

**Benchmark Definition**

The benchmark is comparing three approaches to copy an array:

1. **Manual Copy**: Creating a new array and manually iterating through the original array to populate it with values.
2. **Array.prototype.flat()**: Using the `flat()` method to flatten the array (although this method doesn't actually perform a copy, but rather reduces the nesting level).
3. **reduce + Array.prototype.concat**: Using the `reduce()` method to concatenate arrays.

**Comparison Options**

The benchmark is comparing these three approaches in terms of execution speed.

Pros and Cons:

* **Manual Copy**: This approach can be slow because it involves manual iteration and potentially copying each element individually, which can lead to performance issues for large arrays. However, it's straightforward and easy to understand.
* **Array.prototype.flat()**: Although `flat()` doesn't perform a true copy, it reduces the nesting level of nested arrays, making it faster than manual iteration. However, it might not be as efficient as a direct copy approach.
* **reduce + Array.prototype.concat**: This approach is often used in combination with other methods to flatten arrays. While it's concise and efficient, using `concat()` can lead to performance issues because it creates a new array each time.

**Other Considerations**

When choosing an approach, consider the following:

* Memory allocation: Manual Copy might consume more memory than the other approaches, especially for large arrays.
* Code readability: The Manual Copy approach is easy to understand, while `flat()` and `reduce + concat` might be less readable due to their conciseness.

**Library/Features Used**

No external libraries are mentioned in the benchmark definition. However, some features are used:

* JavaScript spread operator (`params = [[ 1, 2 ], [ "hello", true, 7 ]];`) is not explicitly compared; it's only present in one of the test cases.
* ES6 flat function (`Array.prototype.flat()`) is being tested.

**Special JS Features/Syntax**

The benchmark does not use any special JavaScript features or syntax. It focuses on comparing three established methods for array copying and flattening.

**Alternatives**

If you need to compare other approaches, consider using:

* `slice()` method
* `Array.prototype.push()` followed by `map()`
* Other libraries like Lodash (`_.flatten()`, _.concat())

Related benchmarks:

my super test (version: 0)

Compare the new ES6 spread operator with the traditional concat() method

Comparing performance of: reduce + Array.prototype.concat vs Array.prototype.flat vs Manual copy

Created: 3 years ago by: Guest

Jump to the latest result

reduce + Array.prototype.concat

Array.prototype.flat

Manual copy

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):