Benchmark: Lodash reduce vs Lodash FP reduce

HTML Preparation code:

<script src='https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js+lodash.fp.min.js)'></script>

Script Preparation code:

var fp = _.noConflict();
var array =  ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'];
var reducer = (r, x) => r + x;

Tests:

Lodash reduce
_.reduce(array, reducer, '')
Lodash fp reduce
fp.reduce(reducer, '', array)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash reduce
Lodash fp reduce

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:139.0) Gecko/20100101 Firefox/139.0

Browser/OS: Firefox 139 on Mac OS X 10.15

View result in a separate tab

Lodash reduce

5.4M/s

Lodash fp reduce

2.8M/s

View exact numbers

Test name	Executions per second
✓ Lodash reduce	5,420,008 Ops/sec
Lodash fp reduce	2,821,769 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested on the provided JSON.

**Benchmark Definition**

The benchmark is comparing two approaches to reducing an array of characters using Lodash, a popular JavaScript utility library.

**Options Compared**

There are two options being compared:

1. **Lodash `reduce`**: This approach uses the traditional Lodash `reduce` method, which applies a reducer function to each element in the array.
2. **Lodash FP `reduce`**: This approach uses the functional programming (FP) version of the Lodash `reduce` method, which is a more concise and expressive way of reducing arrays using pure functions.

**Pros and Cons**

Here are some pros and cons of each approach:

* **Lodash `reduce`**:
	+ Pros: Wide support, simple to implement.
	+ Cons: Can be slower due to the overhead of the `reduce` method.
* **Lodash FP `reduce`**:
	+ Pros: More concise and expressive, can be faster since it doesn't require the overhead of the traditional `reduce` method.
	+ Cons: May not be as widely supported or well-known.

**Library and Purpose**

Lodash (and Lodash FP) is a utility library that provides a set of functional programming helpers for JavaScript. The `reduce` method in Lodash is used to apply a reducer function to each element in an array, reducing it to a single output value.

The FP version of the `reduce` method uses higher-order functions and pure functions to reduce arrays without modifying them.

**Special JS Feature or Syntax**

This benchmark doesn't use any special JavaScript features or syntax beyond standard ES6+ syntax. It's designed to be language-agnostic and focus on the performance comparison between two specific approaches.

**Other Alternatives**

If you're interested in exploring alternative libraries for reducing arrays, some popular options include:

* **Array.prototype.reduce()**: This is a built-in method in modern JavaScript that applies a reducer function to each element in an array.
* **Ramda**: A functional programming library that provides a `reduce` method with similar functionality to Lodash FP.
* **Underscore.js**: Another utility library that includes a `reduce` method, although it may not have the same level of performance as Lodash or Ramda.

The benchmark itself is well-designed and focuses on comparing the performance of two specific approaches using a controlled test case. The results should provide valuable insights into the relative performance characteristics of each approach.

Lodash reduce vs Lodash FP reduce (version: 0)

Comparing performance of: `Lodash reduce vs Lodash fp reduce`

Created: 8 years ago by: Guest

Go to the latest result

Lodash reduce

Lodash fp reduce

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Lodash reduce vs Lodash FP reduce (version: 0)

Comparing performance of: Lodash reduce vs Lodash fp reduce

Created: 8 years ago by: Guest

Go to the latest result

Lodash reduce

Lodash fp reduce

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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Comparing performance of: `Lodash reduce vs Lodash fp reduce`