Benchmark: times or array spread 3

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var NUMBER_OF_SKELETONS = 4;
var SKELETONS = [...Array(4).keys()];

Tests:

Native
SKELETONS.map((val) => ({ stuff: val, }))
Lodash.js filter
_.times(NUMBER_OF_SKELETONS, (i) => ({ stuff: i, }))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash.js filter

Fastest: N/A

Slowest: N/A

Latest run results:

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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 definition and test cases.

**Benchmark Definition:**

The benchmark definition is a JSON object that represents a specific JavaScript operation to be measured. In this case, there are two benchmarks:

1. "times or array spread 3" (Native):
This benchmark tests the performance of creating an array with a certain number of elements using the `Array` constructor and spreading it into another array.

2. "SKELETONS.map((val) => ({...}))" (Lodash.js filter):
This benchmark tests the performance of mapping over an array using Lodash's `map` function.

**Script Preparation Code:**

The script preparation code is a JavaScript snippet that sets up some variables and creates an array with 4 elements:
```javascript
var NUMBER_OF_SKELETONS = 4;
var SKELETONS = [...Array(4).keys()];
```
This code creates an array `SKELETONS` containing the numbers 0, 1, 2, and 3.

**Html Preparation Code:**

The html preparation code includes a script tag that loads Lodash version 4.17.4 from a CDN:
```html
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
```
This loads the necessary dependencies for the Lodash functions used in the benchmark.

**Library and Purpose:**

In this benchmark, we are using two JavaScript libraries:

1. Lodash (Lodash.js filter):
Lodash is a popular utility library that provides a set of functional programming helpers. In this case, we are using its `map` function to transform an array.
2. None (Native):
The "Native" test uses only built-in JavaScript features, without any external libraries.

**Special JS Features and Syntax:**

In the benchmark definition, we see some advanced JavaScript features:

1. Template literals (`(val) => ({...})`): These are used to create a new object with dynamic properties.
2. Spread operator (`[...Array(4).keys()]`): This creates a new array from an existing array of numbers.

**Pros and Cons:**

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

1. Lodash.js filter (map function):
	* Pros:
		+ Simplifies complex transformations by providing a reusable function.
		+ Reduces boilerplate code.
	* Cons:
		+ Introduces an external dependency (Lodash).
		+ May have performance overhead due to the library's existence.
2. Native (using only built-in JavaScript features):
	* Pros:
		+ No external dependencies, which can reduce overhead and improve performance.
		+ Uses only native JavaScript features, making it more platform-agnostic.
	* Cons:
		+ Requires more manual effort to write complex transformations.
		+ May be less readable due to the use of low-level operations.

**Alternatives:**

If you want to create a similar benchmark without using Lodash, you can consider using other JavaScript libraries or native features that achieve similar results. Some alternatives include:

* Other utility libraries like Moment.js, MathJax, or Underscore.js
* Native features like `Array.prototype.reduce()`, `Array.prototype.forEach()`, or the `for` loop
* Specialized libraries for specific tasks, such as parsing JSON or working with dates

Keep in mind that each alternative has its own strengths and weaknesses, which may affect performance, readability, and maintainability of your benchmark.

Related benchmarks:

times or array spread 3 (version: 0)

Comparing performance of: Native vs Lodash.js filter

Created: 3 years ago by: Guest

Jump to the latest result

Native

Lodash.js filter

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):