Benchmark: lodash partition vs for loop

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)
double filter
let a = []; let b = []; for (let i = 0; i < tabl.length; i++) { const item = tabl[i]; if (item%2) { a.push(item); } else { b.push(item); } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash partition
double filter

Fastest: N/A

Slowest: N/A

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

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

**Benchmark Overview**

The benchmark compares two approaches for partitioning an array in JavaScript:

1. Using the `partition` function from the Lodash library
2. A custom implementation using a `for` loop

**Lodash Library**

The Lodash library is a popular utility belt for JavaScript that provides a wide range of functions for tasks such as data manipulation, string manipulation, and more. The `partition` function takes two arguments: the array to be partitioned, and a predicate function that determines which elements should be included in each partition.

**Custom Implementation**

The custom implementation uses a `for` loop to iterate through the array and push elements into two separate arrays based on whether they meet the condition specified by the predicate function.

**Comparison**

The benchmark compares the performance of these two approaches:

1. **Lodash Partition**: This approach uses the `partition` function from Lodash, which is likely to be implemented in optimized C++ code and therefore may have better performance characteristics.
2. **Double Filter**: This approach uses a `for` loop and two separate arrays to partition the elements.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **Lodash Partition**:
	* Pros:
		+ Likely to be faster due to optimized C++ implementation
		+ Simplifies code and reduces boilerplate
	* Cons:
		+ Requires including an additional library (Lodash)
2. **Double Filter**:
	* Pros:
		+ Can be implemented with minimal dependencies (only JavaScript)
		+ May be easier to understand for those without experience with Lodash
	* Cons:
		+ Requires more code and boilerplate
		+ May not be as efficient due to the use of two separate arrays

**Special JS Feature/ Syntax**

There are no special JavaScript features or syntax used in this benchmark. The focus is on comparing two implementation approaches.

**Other Alternatives**

If you want to implement a similar partitioning algorithm, other alternatives could include:

1. **Array.prototype.filter()**: This method can be used to filter elements from an array and create a new array with the filtered elements.
2. **Reduce()**: This method can be used to reduce an array to a single value by applying a callback function to each element.

However, these approaches may not offer the same level of performance or simplicity as the Lodash partition function.

I hope this explanation helps! Let me know if you have any further questions.

Related benchmarks:

lodash partition vs for loop (version: 0)

Comparing performance of: Lodash partition vs double filter

Created: 3 years ago by: Guest

Jump to the latest result

Lodash partition

double 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):