Benchmark: lodash partition vs find and filter

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var tabl = Array.from({ length: 10000 }).map((value, i) => i)

Tests:

Lodash partition
let result = _.partition(tabl, v => v%2)
filter X 2
let a = tabl.filter(item => item%2); let b = tabl.filter(item => !item%2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash partition
filter X 2

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the JavaScript microbenchmark you've provided.

**What is being tested?**

The benchmark measures the performance difference between two approaches: using `lodash.partition()` and manually implementing `filter` with a callback function. The test case creates an array of 10,000 elements, where each element is a unique integer (using `_partition` approach) or an even/odd integer (using manual `filter` approach).

**Options compared**

The benchmark compares two approaches:

1. **Lodash partition**: Uses the `lodash.partition()` function to divide the array into two parts: elements that pass the predicate and elements that don't.
2. **Manual filter with callback**: Manually filters the array using a callback function (`v => v%2`) to separate even and odd integers.

**Pros and cons of each approach**

1. **Lodash partition**:
	* Pros:
		+ More concise code
		+ Less chance of introducing bugs due to manual implementation
	* Cons:
		+ Requires an external library (lodash)
		+ May have overhead due to importing the library
2. **Manual filter with callback**:
	* Pros:
		+ No external libraries required
		+ Can be optimized for performance by using techniques like in-place filtering
	* Cons:
		+ More verbose code
		+ Higher chance of introducing bugs due to manual implementation

**Library used**

In this case, the `lodash.partition()` function is used. Lodash is a popular JavaScript library that provides a variety of utility functions for common tasks.

**Special JS feature or syntax**

There are no special features or syntax used in this benchmark. The code uses standard JavaScript features and syntax.

**Benchmark preparation code**

The script preparation code creates an array of 10,000 elements using the `Array.from()` method, where each element is a unique integer (using `_partition` approach) or an even/odd integer (using manual `filter` approach).

The HTML preparation code includes a reference to the Lodash library.

**Other alternatives**

If you wanted to implement a similar benchmark without using Lodash, you could consider using:

* `Array.prototype.filter()` and a callback function
* A custom implementation of the `partition` algorithm
* A different library or framework that provides similar functionality (e.g., Underscore.js)

Keep in mind that these alternatives may require more manual effort to optimize performance, but can provide greater control over the implementation.

Related benchmarks:

lodash partition vs find and filter (version: 0)

Comparing performance of: Lodash partition vs filter X 2

Created: 4 years ago by: Guest

Jump to the latest result

Lodash partition

filter X 2

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):