Benchmark: 625346df52gc6erc56wecr

Script Preparation code:

var list = [];
for (var i = 0; i < 1000 * 1000; i++) {
    list.push(i);
}

Tests:

splice
for (var i = 0; i < 100; i++) { list.push(i); } var spliceTemp = list.splice(0, 100)
slice
for (var i = 0; i < 100; i++) { list.push(i); } var sliceTemp = list.slice(0, 100) list = list.slice(100)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
splice
slice

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark JSON and explain what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Overview**

The benchmark measures the performance of two JavaScript operations: `splice` and `slice`. Both operations are used to manipulate an array. The benchmark creates a large array with 1 million elements and then performs the specified operation on it.

**Options Compared**

There are two options being compared:

1. **`splice`**: This method removes elements from the array and returns them in an array.
2. **`slice`**: This method returns a shallow copy of a portion of an array.

**Pros and Cons of Each Approach**

* `splice`:
	+ Pros: Can be more efficient for removing a large number of elements, as it only requires a single pass through the array.
	+ Cons: Can be slower than `slice` for small arrays, as it involves modifying the original array. Additionally, `splice` returns the removed elements, which can increase memory usage.
* `slice`:
	+ Pros: Faster and more memory-efficient for small arrays, as it creates a new array copy without modifying the original.
	+ Cons: Requires two passes through the array (once to create the slice, and again to assign the result back to the original array).

**Library Used**

The benchmark uses the `list` variable, which is an empty array created using the `var list = []` syntax. This is a basic JavaScript feature that creates a new, empty array.

**Special JS Feature/ Syntax**

There's no special JavaScript feature or syntax used in this benchmark beyond what's required for array manipulation and function definition (e.g., `for`, `if`, `var`, etc.).

**Other Alternatives**

For array manipulation, there are other methods that could be used instead of `splice` and `slice`. Some examples include:

* `concat()`: Concatenates two or more arrays, but can be slower than `slice`.
* `filter()`: Creates a new array with all elements that pass the test implemented by the provided function, but requires additional logic to get the desired result.
* `map()`: Applies a specified function to each element of an array and returns a new array, but may not directly replace `splice` or `slice`.
* `every()` and `some()`: Used for filtering arrays, but don't directly replace `splice` or `slice`.

Keep in mind that the choice of method depends on the specific requirements of your use case.

**Benchmark Preparation Code**

The script preparation code is:
```javascript
var list = [];
for (var i = 0; i < 1000 * 1000; i++) {
    list.push(i);
}
```
This creates a large array with 1 million elements and assigns it to the `list` variable.

**Individual Test Cases**

The benchmark consists of two individual test cases:

* `splice`: This test case pushes 100 elements onto the array, then uses `splice` to remove the first 100 elements.
* `slice`: This test case also pushes 100 elements onto the array, but uses `slice` to get a portion of the array (the first 100 elements), and then assigns the result back to the original array.

These test cases are likely designed to demonstrate the performance differences between `splice` and `slice`.

Related benchmarks:

625346df52gc6erc56wecr (version: 0)

Comparing performance of: splice vs slice

Created: 5 years ago by: Guest

Jump to the latest result

splice

slice

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):