Benchmark: lodash dropWhile or reduce-based trim-from-both-ends

HTML Preparation code:

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

Script Preparation code:

function trimArrayReduce(array, filter) {
    return array.reduce((p, c) => p.length > 0 ? [...p, c] : filter(c) ? [] : [c], [])
        .reduceRight((p, c) => p.length > 0 ? [c, ...p] : filter(c) ? [] : [c], []);
}

function trimArrayLodash(array, filter) {
  return _.dropRightWhile(_.dropWhile(a, filter), filter)
}

a = [0, 0, 0, 0, 0, 0, 1, 2, 5,6,7,8,6,4,3,5,7,8, 3, 0, 0, 0, 6,5,3,3,6,7,23,5,7,2,2,3, 8, 9, 4, 0, 0, 0, 0];

Tests:

lodash
b = trimArrayLodash(a, (v) => v === 0);
reduce
b = trimArrayReduce(a, (v) => v === 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
reduce

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.

Let's break down what is tested in the provided JSON, and I'll explain the options compared, pros and cons of each approach, and other considerations.

**Benchmark Overview**

The benchmark measures two different approaches to trimming the start and end of an array based on a filter function: using Lodash's `dropRightWhile` or reducing the array twice (first with `dropWhile`, then with `reduceRight`).

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a collection of functional programming helpers, including filtering and manipulation functions like `dropRightWhile`. The library is included in the benchmark by loading it via a script tag in the HTML preparation code.

The purpose of using Lodash's `dropRightWhile` is to demonstrate its performance compared to a custom implementation. By using a well-tested and widely-used library, the benchmark provides an unbiased comparison of the two approaches.

**Approach 1: Lodash (`trimArrayLodash` function)**

This approach uses Lodash's `dropRightWhile` function to remove elements from the end of the array until the filter condition is no longer met. The `dropRightWhile` function takes a predicate (in this case, the filtering function `(v) => v === 0`) and returns an iterator that yields values until the predicate is false.

Pros:

* Using a well-tested and widely-used library like Lodash can provide a more accurate representation of real-world performance.
* The benchmark can focus on the specific use case (filtering and trimming) rather than implementing it from scratch.

Cons:

* The performance might be affected by other factors, such as the overhead of loading and executing the Lodash library.
* Depending on the version of Lodash used, there might be variations in implementation that affect performance.

**Approach 2: Custom Reduction (`trimArrayReduce` function)**

This approach uses a custom reduction function to remove elements from the start and end of the array. The `trimArrayReduce` function takes two arguments: the input array `array` and the filtering function `filter`.

The function first reduces the array with `dropWhile`, returning an iterator that yields values until the filter condition is met. Then, it further reduces the remaining elements with `reduceRight`, removing any empty arrays that would be created.

Pros:

* The custom implementation allows for direct control over the algorithm and optimization of specific parts.
* This approach can provide insights into how different aspects of the reduction process affect performance.

Cons:

* Implementing a custom solution requires more development effort and might introduce unnecessary complexity.
* Without proper optimization, this approach might not be as efficient as using a well-tested library like Lodash.

**Other Considerations**

1. **Special JS features or syntax**: Neither test case uses any special JavaScript features or syntax that would affect the performance comparison.
2. **Alternative approaches**: Other possible approaches for trimming an array based on a filter function include:
	* Using `filter` and `map` together to create a new array with the desired elements.
	* Implementing a custom algorithm using bitwise operators (e.g., masking or shifting).
	* Utilizing WebAssembly or other low-level technologies for performance-critical code.

Keep in mind that these alternative approaches would likely result in different benchmark results, and it's essential to consider the trade-offs when choosing an implementation strategy.

Related benchmarks:

lodash dropWhile or reduce-based trim-from-both-ends (version: 0)

A function to trim the start and end of an array, based on a filter function.

Comparing performance of: lodash vs reduce

Created: 2 years ago by: Guest

Jump to the latest result

lodash

reduce

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):