Benchmark: Array slice, splice and direct access 2

Script Preparation code:

arr = [...Array(100000).keys()];
inds = [...Array(25000).keys()];

Tests:

Slice
res = inds.map(i => arr.slice(i*4, (i+1) *4));
Splice
res = [] for (const i of inds) { res.push(arr.splice(0,4)); }
Direct
res = inds.map(i => [arr[i*4], arr[(i*4)+1], arr[(i*4)+2], arr[(i*4)+3]]);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Slice
Splice
Direct

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.1:latest, generated one month ago):

LLMs can make mistakes. Check important info.

Let's dive into the provided JSON that represents the benchmark.

**Benchmark Definition**

The benchmark is called "Array slice, splice and direct access 2". It appears to be measuring the performance of three different ways to access elements in an array: slicing, splicing, and direct indexing.

**Test Cases**

There are three test cases:

1. **Slice**: This test case uses the `map()` method to create a new array by taking a slice of the original array (`arr`) using the `slice()` method.
2. **Splice**: This test case uses a `for...of` loop and the `splice()` method to remove elements from the original array (`arr`) and add them to a new array (`res`).
3. **Direct**: This test case uses direct indexing to access specific elements in the original array (`arr`) without using `slice()` or `splice()`.

**Library/Feature**

There is no external library mentioned in the provided code. The only built-in JavaScript features used are:

* `Array.prototype.slice()`: extracts a section of an array and returns a new array.
* `Array.prototype.splice()`: removes elements from an array and adds them to another array.
* `map()` method: creates a new array by applying a function to each element in the original array.
* `for...of` loop: iterates over elements in an array.
* Direct indexing (`arr[i]`): accesses specific elements in an array using their index.

**Options Compared**

The three test cases compare different ways to access elements in an array:

1. **Slice**: takes a slice of the original array using `slice()`.
2. **Splice**: uses `splice()` to remove elements from the original array and add them to another array.
3. **Direct**: accesses specific elements in the original array using direct indexing.

**Pros/Cons**

Here's a brief summary of the pros and cons of each approach:

* **Slice**:
	+ Pros: efficient, concise code
	+ Cons: may not be suitable for large arrays or complex operations
* **Splice**:
	+ Pros: can modify the original array
	+ Cons: slower than `slice()` due to additional memory allocation and copying
* **Direct**:
	+ Pros: simple, efficient access to specific elements
	+ Cons: may not be suitable for large arrays or complex operations

**Other Considerations**

When choosing an approach, consider the following:

1. Array size: If you're dealing with very large arrays, `slice()` might be more efficient than `splice()`.
2. Memory usage: `Splice()` can modify the original array and allocate new memory, which may not be desirable.
3. Complexity: If your operation involves complex logic or multiple iterations, direct indexing might be more suitable.

**Alternatives**

Other alternatives to consider:

1. **Array.prototype.filter()**: creates a new array with elements that pass a test (e.g., `arr.filter(i => i % 2 === 0)`).
2. **Array.prototype.reduce()**: applies a function to each element in the array, reducing it to a single value.
3. **Array.prototype.forEach()**: iterates over elements in an array without returning any new values.

Keep in mind that these alternatives might not be directly comparable to the `slice()`, `splice()`, and direct indexing approaches tested here.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36

Browser/OS: Chrome 108 on Windows

View result in a separate tab

Test name	Executions per second
Slice	182.5 Ops/sec
Splice	107.5 Ops/sec
Direct	58.1 Ops/sec

Related benchmarks:

Array slice, splice and direct access 2 (version: 0)

Comparing performance of: Slice vs Splice vs Direct

Created: one year ago by: Guest

Jump to the latest result

Slice

Splice

Direct

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.1:latest, generated one month ago):