Benchmark: Array Flatten -> Reduce+Concat | Reduce+Spread | Loop+Push| Loop+Push+Spread

Script Preparation code:

var params = [ [ 1, 2 ], [ 3, 4 ], [ 5, 6 ], [ 7, 8 ], [ 9, 0 ] ];

var flattenReduceConcat = (inputs) => inputs.reduce((acc, input) => acc.concat(input), []);
var flattenReduceSpread = (inputs) => inputs.reduce((acc, input) => [...acc, ...input], []);
var flattenLoopPush = (inputs) => {
  var acc = [];
  for (var i = 0, L = inputs.length; i < L; i++) {
    var input = inputs[i];
    for (var j = 0, l = input.length; j < l; j++) {
      acc.push(input[j]);
    }
  }
  return acc;
}
var flattenLoopPushSpread = (inputs) => {
  var acc = [];
  for (var i = 0, l = inputs.length; i < l; i++) {
    acc.push(...inputs[i]);
  }
  return acc;
}
var flattenLoopSpread = (inputs) => {
  var acc = [];
  for (var i = 0, l = inputs.length; i < l; i++) {
    acc = [...acc, ...inputs[i]];
  }
  return acc;
}

Tests:

Reduce+Concat
var result = flattenReduceConcat(params);
Reduce+Spread
var result = flattenReduceSpread(params);
Loop+Push
var result = flattenLoopPush(params);
Loop+Push+Spread
var result = flattenLoopPushSpread(params);
Loop+Spread
var result = flattenLoopSpread(params);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Reduce+Concat
Reduce+Spread
Loop+Push
Loop+Push+Spread
Loop+Spread

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark and explain what's being tested, compared, and their pros and cons.

**Benchmark Overview**

The benchmark measures how fast different approaches can flatten an array of arrays into a single one-dimensional array.

**Approaches Compared**

There are four approaches compared:

1. **Reduce+Concat**: uses `reduce()` with `concat()`
2. **Reduce+Spread**: uses `reduce()` with `spread operator` (`...`)
3. **Loop+Push**: uses a loop to push elements into an accumulator array
4. **Loop+Push+Spread** and **Loop+Spread** are variations of the previous two approaches

**Pros and Cons**

Here's a brief summary:

* **Reduce+Concat**: efficient, but can lead to performance issues due to repeated concatenations. Pros: simple, widely supported. Cons: may be slower than other approaches.
* **Reduce+Spread**: more efficient than Reduce+Concat, as it avoids repeated concatenations. However, the spread operator is relatively new and may not be supported in older browsers. Pros: faster, concise. Cons: may require newer browsers or polyfills.
* **Loop+Push**: straightforward and easy to understand. However, it can lead to performance issues due to repeated push operations. Pros: simple, easy to implement. Cons: slower than other approaches.
* **Loop+Push+Spread** and **Loop+Spread**: variations of the previous two approaches that aim to improve performance by using spread operator instead of push.

**Library Used**

None explicitly mentioned in the benchmark definition or individual test cases. However, some of these approaches may rely on built-in JavaScript methods or libraries like `reduce()`.

**Special JS Feature/Syntax**

The use of the spread operator (`...`) in **Reduce+Spread** and **Loop+Push+Spread** is a modern JavaScript feature introduced in ECMAScript 2018 (ES9). While most modern browsers support it, it may not be supported in older browsers or environments.

**Alternatives**

Other approaches to flatten arrays of arrays could include:

* Using `Array.prototype.flat()` with optional arguments (introduced in ES7)
* Implementing a custom flattening function using recursive techniques
* Utilizing libraries like Lodash or Ramda for array manipulation

The benchmark's focus on comparing existing approaches highlights the importance of understanding performance considerations when writing efficient JavaScript code.

Related benchmarks:

Array Flatten -> Reduce+Concat | Reduce+Spread | Loop+Push| Loop+Push+Spread | Loop+Spread (version: 0)

Comparing performance of: Reduce+Concat vs Reduce+Spread vs Loop+Push vs Loop+Push+Spread vs Loop+Spread

Created: 7 years ago by: Guest

Jump to the latest result

Reduce+Concat

Reduce+Spread

Loop+Push

Loop+Push+Spread

Loop+Spread

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):