Benchmark: Last Lodash Test

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js"></script>

Script Preparation code:

var numbers = [12,124,5436,3456,1,123,1324,342,231]

Tests:

Lodash
_.last(numbers)
Vanilla
numbers[numbers.length - 1]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Vanilla

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:129.0) Gecko/20100101 Firefox/129.0

Browser/OS: Firefox 129 on Ubuntu

View result in a separate tab

Vanilla

2834.0M/s

Lodash

788.8M/s

View exact numbers

Test name	Executions per second
✓ Vanilla	2,834,022,656 Ops/sec
Lodash	788,817,600 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared, and their pros/cons.

**Benchmark Overview**

The benchmark is comparing two approaches to accessing the last element of an array:

1. **Vanilla**: Using JavaScript's built-in indexing syntax (`numbers[numbers.length - 1]`)
2. **Lodash**: Using Lodash's `_.last()` function

**What's Being Tested**

The benchmark is measuring the performance difference between these two approaches on a specific dataset: `[12,124,5436,3456,1,123,1324,342,231]`. The test case uses Lodash version 4.17.11.

**Options Compared**

The benchmark is comparing the performance of:

* **Vanilla**: Using JavaScript's built-in indexing syntax to access the last element of the array.
* **Lodash**: Using Lodash's `_.last()` function to achieve the same result.

**Pros/Cons of Each Approach**

### Vanilla

Pros:

* Lightweight: No additional library dependencies required.
* Simple and familiar syntax for most developers.

Cons:

* May be slower due to indirect indexing ( accessing `length` property, then using indexing).
* Can lead to performance issues if array length is large or frequently changed.

### Lodash

Pros:

* Optimized for performance: Lodash's implementation is likely to be faster than vanilla indexing.
* Easier to read and maintain, as the code is abstracted away from the developer.

Cons:

* Adds an additional library dependency (Lodash).
* May require more memory allocations or garbage collection due to the abstraction layer.

**Library and Purpose**

The Lodash library is a popular JavaScript utility library that provides a wide range of functions for common tasks. In this case, `_.last()` is used to return the last element of an array.

**Special JS Feature/Syntax**

None mentioned in the provided benchmark definition.

**Other Alternatives**

If you want to try alternative approaches, you can consider:

* Using `Array.prototype[Array.prototype.length - 1]`: This uses the same indirect indexing as vanilla, but with a more explicit syntax.
* Implementing your own `last()` function using JavaScript's built-in functions (e.g., `reduce()`, `slice()`).
* Using other libraries or frameworks that provide similar functionality to Lodash.

Keep in mind that these alternatives may have different performance characteristics and trade-offs compared to the vanilla and Lodash approaches.

Last Lodash Test (version: 0) Benchmark.js

Comparing performance of: `Lodash vs Vanilla`

Created: 6 years ago by: Guest

Go to the latest result

Lodash

Vanilla

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Last Lodash Test (version: 0) Benchmark.js

Comparing performance of: Lodash vs Vanilla

Created: 6 years ago by: Guest

Go to the latest result

Lodash

Vanilla

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `Lodash vs Vanilla`