Benchmark: ramda clone vs spread

HTML Preparation code:

<script src="//cdn.jsdelivr.net/npm/ramda@0.25.0/dist/ramda.min.js"></script>

Script Preparation code:

var arr = new Array(1000000).fill(10);

Tests:

spread
[...arr]
ramda clone
R.clone(arr)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
spread
ramda clone

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 9 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36

Browser/OS: Chrome 138 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
spread	4197.2 Ops/sec
ramda clone	19.0 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 is tested, compared options, pros and cons, and other considerations.

**Benchmark Overview**

The benchmark measures the performance of two approaches: using the spread operator (`...`) to create an array copy from the original array `arr`, and using Ramda's `R.clone()` function to achieve the same result.

**Options Compared**

Two options are compared:

1. **Spread Operator (`...`)**: This method creates a shallow copy of the original array by duplicating each element. It is a concise way to create a new array with the same elements as the original.
2. **Ramda's `R.clone()` function**: Ramda is a functional programming library for JavaScript. `R.clone()` creates a deep copy of the original array, which means it recursively clones all nested objects and arrays.

**Pros and Cons**

1. **Spread Operator (`...`)**:
	* Pros: concise, easy to read, and fast.
	* Cons: only creates a shallow copy of the array (only first-level elements are cloned), may not be suitable for large or complex data structures.
2. **Ramda's `R.clone()` function**:
	* Pros: creates a deep copy of the array, ensuring that all nested objects and arrays are cloned recursively.
	* Cons: more verbose than the spread operator, slower due to the recursive cloning process.

**Other Considerations**

When deciding between these two approaches, consider the following factors:

* **Data structure complexity**: If you're working with simple arrays or data structures, the spread operator might be sufficient. However, if you need to clone complex data structures like nested objects or arrays, Ramda's `R.clone()` function is a better choice.
* **Performance**: For small to medium-sized datasets, the spread operator should be faster due to its simplicity and shallow cloning mechanism. However, for larger datasets, Ramda's `R.clone()` function might provide better performance due to its deeper cloning mechanism.
* **Code readability**: If code readability is important, using Ramda's `R.clone()` function can make your code more explicit about the intention behind the clone operation.

**Library and Syntax**

The benchmark uses Ramda, a functional programming library for JavaScript. Ramda provides various functions for data manipulation, filtering, mapping, reducing, and more. In this specific case, `R.clone()` is used to create a deep copy of the array.

There are no special JS features or syntax mentioned in the provided code snippets. The benchmark focuses on comparing two approaches using standard JavaScript and Ramda library functions.

**Alternatives**

Other alternatives for creating an array copy could be:

* Using the `Array.prototype.slice()` method: `var arrCopy = arr.slice();`
* Using a custom implementation of an array cloning function.
* Using other libraries or frameworks that provide similar functionality, such as Lodash.

Keep in mind that each of these alternatives has its own trade-offs and might not offer the same level of performance, readability, or convenience as the spread operator or Ramda's `R.clone()` function.

Related benchmarks:

ramda clone vs spread (version: 0)

Comparing performance of: spread vs ramda clone

Created: 5 years ago by: Guest

Jump to the latest result

spread

ramda clone

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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