Benchmark: ym0AIT7Il6 - MeasureThat.net

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4.17.21/lodash.min.js"></script>

Script Preparation code:

var arrFull = ['1','2','3','4','5','6','7','8','9','0']
var arrOne = ['2','4','5','7','8','9','0']

var set = new Set(['2','3','4','5','6','7']);

Tests:

Add passing
const passing = _.difference(arrOne, arrFull); passing.forEach(item => set.add(item))
Add all
arrOne.forEach(item => set.add(item))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Add passing
Add all

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data to understand what is being tested in this JavaScript microbenchmark.

**Benchmark Definition**

The benchmark definition is represented by two test cases:

1. **"Add passing"`**: This test case measures the performance of adding elements from an array (`arrOne`) that are not present in another array (`arrFull`) using the `_.difference` function from Lodash library. The result is added to a Set (`set`) for verification.
2. **"Add all"`**: This test case measures the performance of adding all elements from the `arrOne` array directly to the `set`.

**Options Compared**

The two test cases compare two different approaches:

* **Using Lodash's _.difference function**: The first test case uses this function to find the differences between `arrOne` and `arrFull`. This approach is more explicit and might be preferred for readability, but it may incur additional overhead due to the function call.
* **Direct array iteration**: The second test case iterates over `arrOne` directly and adds each element to the `set`.

**Pros and Cons of Each Approach**

1. **Using Lodash's _.difference function**:
	* Pros:
		+ More explicit and readable code
		+ Might be more efficient due to optimized implementation
	* Cons:
		+ Additional overhead due to function call
		+ Dependence on the Lodash library
2. **Direct array iteration**:
	* Pros:
		+ No additional overhead from function calls
		+ More control over performance-critical code
	* Cons:
		+ Code might be less readable due to explicit loop
		+ Potential for subtle errors or edge cases

**Library: Lodash**

The Lodash library is a popular utility belt for functional programming in JavaScript. Its `.difference` function is used to find the differences between two arrays. In this benchmark, it's used to compare the performance of adding elements from `arrOne` that are not present in `arrFull`.

**Special JS Feature/Syntax**

There doesn't seem to be any special JS feature or syntax being tested in these benchmarks.

**Alternatives**

Some alternative approaches for adding elements to a Set could include:

* Using a custom implementation with a faster data structure, such as a trie or a hash table.
* Utilizing Web Workers or other parallel processing techniques to execute the addition operation concurrently.
* Leveraging browser-specific optimizations, such as SIMD instructions for vectorized operations.

Keep in mind that these alternatives would likely introduce additional complexity and might not be suitable for all use cases. The current implementation using Lodash's `.difference` function is a good starting point, but further optimization or alternative approaches might be necessary depending on the specific requirements of the application.

Related benchmarks:

ym0AIT7Il6 (version: 0)

Comparing performance of: Add passing vs Add all

Created: 5 years ago by: Guest

Jump to the latest result

Add passing

Add all

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):