Benchmark: Temp11111111111111111111111111111111111111111111111111111113

Script Preparation code:

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

Tests:

slice
list.splice(0, 0, 100);
splice
list.splice(100, 0, 100);
shift
list.splice(10000, 0, 100);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice
splice
shift

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested, compared, and considered.

**Benchmark Overview**

The benchmark is created using MeasureThat.net, a website that allows users to create and run JavaScript microbenchmarks. The benchmark measures the performance of various operations on an array (represented by the `list` variable).

**Script Preparation Code**

The script preparation code is a simple loop that creates an array with 1 million elements:
```javascript
var list = [];
for (var i = 0; i < 1000 * 1000; i++) {
  list.push(i);
}
```
This code initializes the `list` array with 1 million elements, which is a common way to create a large array in JavaScript.

**Html Preparation Code**

There is no HTML preparation code provided, so we'll assume that the benchmark only runs in a headless environment (i.e., without a visible browser).

**Test Cases**

The benchmark includes three test cases:

1. **"slice"**: This test case uses the `Array.prototype.slice()` method to remove the first element from the array.
```javascript
list.splice(0, 0, 100);
```
2. **"splice"**: This test case uses the `Array.prototype.splice()` method to add an element at index 0 of the array.
```javascript
list.splice(100, 0, 100);
```
3. **"shift"**: This test case uses the `Array.prototype.shift()` method to remove and return the first element from the array.
```javascript
list.splice(10000, 0, 100);
```
**Options Compared**

The benchmark compares three different approaches:

1. **`slice`**: Uses `Array.prototype.slice()` to remove the first element.
2. **`splice`**: Uses `Array.prototype.splice()` to add an element at index 0 of the array.
3. **`shift`**: Uses `Array.prototype.shift()` to remove and return the first element.

**Pros and Cons**

Here's a brief summary of each approach:

1. **`slice`**:
	* Pros: Fast and efficient, as it only accesses the desired elements without modifying the entire array.
	* Cons: Requires indexing into the array, which can be slower than other approaches.
2. **`splice`**:
	* Pros: Can add or remove multiple elements at once, making it suitable for more complex operations.
	* Cons: Modifies the original array, which can lead to unexpected behavior if not used carefully.
3. **`shift`**:
	* Pros: Simple and efficient, as it only modifies the first element of the array.
	* Cons: Returns a value (the removed element), which may be unnecessary in some cases.

**Library Considerations**

None of the test cases explicitly use any libraries beyond the standard JavaScript Array prototype. However, if you were to extend this benchmark to include other libraries, consider using:

* `lodash`: For its efficient array manipulation functions.
* `underscore.js`: For its utility functions that can simplify array operations.

**Special JS Features or Syntax**

The benchmark does not explicitly use any special JavaScript features or syntax beyond the standard Array prototype methods. However, if you were to extend this benchmark to include other features, consider using:

* **Async/await**: To test asynchronous operations.
* **Generators**: To test iteration and streaming algorithms.

**Other Alternatives**

If you'd like to compare different array manipulation approaches, you could consider adding more test cases or using alternative libraries like:

* `fast-array`: A lightweight, high-performance array library.
* `js-array-utils`: An extensive set of utility functions for working with arrays.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.113 Safari/537.36

Browser/OS: Chrome 81 on Linux

View result in a separate tab

Test name	Executions per second
slice	783.5 Ops/sec
splice	792.2 Ops/sec
shift	784.6 Ops/sec

Related benchmarks:

Temp11111111111111111111111111111111111111111111111111111113 (version: 0)

Comparing performance of: slice vs splice vs shift

Created: 4 years ago by: Guest

Jump to the latest result

slice

splice

shift

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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