Benchmark: isEqual with sort vs xor

HTML Preparation code:

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

Script Preparation code:

window.arr1 = [1, 2, 3, 4, 5, 6, 7, 8, 9]
window.arr2 = [9, 8, 7, 6, 5, 4, 3, 2, 1]

Tests:

isEqual
_.isEqual(window.arr1, window.arr2)
xor
_.xor(window.arr1, window.arr2).length === 0
isEqual sort
_.isEqual(_.sortBy(window.arr1), _.sortBy(window.arr2))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
isEqual
xor
isEqual sort

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what is being tested, compared, and some pros and cons of each approach.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark that tests three different approaches for comparing arrays: `isEqual`, `xor`, and `isEqual sort`. The test uses the Lodash library to sort and compare arrays.

**Script Preparation Code**

```javascript
window.arr1 = [1, 2, 3, 4, 5, 6, 7, 8, 9];
window.arr2 = [9, 8, 7, 6, 5, 4, 3, 2, 1];
```

This code creates two arrays in the global scope and assigns them to `window.arr1` and `window.arr2`, respectively.

**Html Preparation Code**

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

This line includes the Lodash library from a CDN, which provides utility functions for array manipulation, including sorting (`_.sortBy`).

**Benchmark Definitions**

The JSON contains three benchmark definitions:

1. `isEqual`: Tests if two arrays are equal using the `window.arr1` and `window.arr2`.
2. `xor`: Tests if the XOR of two arrays is zero (i.e., all elements are equal). This approach uses the `_.xor` function from Lodash.
3. `isEqual sort`: Tests if two sorted arrays are equal. This approach sorts both arrays using `_sortBy` and then compares them.

**Comparison**

The test compares the performance of these three approaches:

* `isEqual`: Directly comparing the two original arrays.
* `xor`: Using XOR to compare the arrays, which is an alternative way of checking for equality.
* `isEqual sort`: Sorting both arrays before comparison, which can be useful if the order of elements matters.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **isEqual**:
	* Pros: Simple and direct comparison.
	* Cons: May not work well with large datasets or non-numeric values.
2. **xor**:
	* Pros: Can be efficient for checking equality, especially with numeric arrays.
	* Cons: XOR operation can lead to false positives if the array contains NaN or other non-numeric values.
3. **isEqual sort**:
	* Pros: Ensures correct ordering of elements, useful in cases where order matters.
	* Cons: Requires sorting both arrays, which can be slower for large datasets.

**Library: Lodash**

Lodash is a popular JavaScript library that provides utility functions for array manipulation, including `_.sortBy`, used in the `isEqual sort` benchmark. It also includes other useful functions like `_.xor`.

**Special JS Feature/Syntax**

There doesn't seem to be any special JavaScript features or syntax used in this benchmark. The test focuses on comparing arrays using different approaches.

**Other Alternatives**

If you're interested in exploring alternative approaches for array comparison, here are a few options:

1. **Using `Array.prototype.every()`**: Instead of XOR, you could use the `every()` method to check if all elements in one array match the corresponding elements in another.
2. **Implementing your own sorting and comparison logic**: You could implement custom sorting and comparison functions using JavaScript's built-in `sort()` and `reduce()` methods.
3. **Using a different library or framework**: Depending on your specific requirements, you might consider using other libraries like Ramda or a full-fledged framework like React or Angular.

Keep in mind that these alternatives may have their own trade-offs in terms of performance, simplicity, or compatibility with different browsers and environments.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36

Browser/OS: Chrome 113 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
isEqual	3209984.5 Ops/sec
xor	2237821.2 Ops/sec
isEqual sort	755141.7 Ops/sec

Related benchmarks:

isEqual with sort vs xor (version: 0)

Comparing performance of: isEqual vs xor vs isEqual sort

Created: one year ago by: Guest

Jump to the latest result

isEqual

xor

isEqual sort

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):