Benchmark: array includes vs some NO FUCKING SEARCH BOX

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.core.js"></script>

Tests:

array find
var a = ['hello', 'a', 'bc']; var b = a.includes('bc');
array some
var a = ['hello', 'a', 'bc']; var b = a.some(item => item === 'bc');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

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Test case name	Result
array find
array some

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Slowest: N/A

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

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Let's dive into the world of JavaScript microbenchmarks!

The provided JSON represents a benchmark test on MeasureThat.net, which compares two approaches for searching an array: the `includes()` method and the traditional `concat()` method with a callback function.

**What is tested?**

The benchmark tests two different methods to find if a specific element exists in an array:

1. **`includes()` method**: This is a built-in JavaScript method introduced in ES6, which checks if an array includes a specified value.
2. **Traditional `concat()` method with callback**: In this approach, the `concat()` method is used to concatenate an array with a single element (the search value) and then uses the `some()` method to check if any of the elements in the concatenated array match the search value.

**Options compared**

The benchmark compares two options:

1. **`includes()` method**: This method is optimized for performance and provides a simple way to check if an array includes a specific value.
2. **Traditional `concat()` method with callback**: This approach involves concatenating the original array with the search value, using the `some()` method to check if any elements match.

**Pros and cons of each approach**

1. **`includes()` method**:
	* Pros: Fast, optimized for performance, and easy to use.
	* Cons: May not work as expected with sparse arrays or when searching for an element that is not a value but rather an index.
2. **Traditional `concat()` method with callback**:
	* Pros: Can be useful for educational purposes or when working with legacy code, but it's generally slower and less efficient than the `includes()` method.
	* Cons: Involves unnecessary concatenation and uses more memory.

Other considerations:

* The benchmark does not consider other optimization techniques, such as using a `Set` data structure to improve lookup performance.
* It also does not account for potential errors or edge cases, such as an empty array or a search value that is not in the array.

**Library**

The benchmark uses the Lodash library, which provides a utility function called `_includes()` (not explicitly used in this benchmark) and the `some()` method. The Lodash library is a popular utility belt for JavaScript developers.

**Special JS feature or syntax**

This benchmark does not use any special features or syntax beyond what is standard in modern JavaScript (ES6+). However, it's worth noting that older versions of JavaScript may not support the `includes()` method or `some()` method with callback functions.

**Alternatives**

If you're looking for alternatives to these approaches, consider the following:

1. **`find()` method**: Instead of using `includes()` or concatenation, you can use the `find()` method to search for an element in an array.
2. **`Array.prototype.includes()`**: If you need to support older versions of JavaScript, you can use the `includes()` method as a polyfill (although this would not be optimized for performance).
3. **Custom iteration**: You could write your own custom loop or recursive function to iterate over the elements in an array and check if they match a certain condition.

Keep in mind that these alternatives may have different trade-offs in terms of performance, readability, and maintainability.

Related benchmarks:

array includes vs some NO FUCKING SEARCH BOX (version: 0)

Compare the new ES6 spread operator with the traditional concat() method

Comparing performance of: array find vs array some

Created: 3 years ago by: Guest

Jump to the latest result

array find

array some

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):