Benchmark: Regular vs Lodash vs Array

Tests:

Array
const chars = ["-", "=", "*", "/", "(", ")", "=", "", "0", "1", "2" ,"3" ,"4" ,"5" ,"6", "7", "8", "9"] return chars.includes("/")
Regular
return /[-\+*/\(\)=\d,.\s]/.test("/");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array
Regular

Fastest: N/A

Slowest: N/A

Latest run results:

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

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I'd be happy to help explain the benchmark and its results.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark that tests two different approaches: Regular expressions (regex) and Lodash's `includes` function, both applied to an array of characters. The goal is to measure which approach is faster for a specific use case.

**Test Cases**

There are two test cases:

1. **Array**: This test case uses a JavaScript array with a predefined set of character strings. It calls the `includes` method on this array, searching for the presence of a specific string (`"/"`).
2. **Regular**: This test case uses a regular expression to search for the presence of a specific string (`"/"`) within a given string.

**Options Compared**

The two options being compared are:

1. **Lodash's `includes` function**: A popular utility library that provides an efficient way to check if a value exists in an array.
2. **Regular expressions (regex)**: A powerful syntax for matching patterns in strings.

**Pros and Cons of Each Approach**

1. **Lodash's `includes` function**:
	* Pros:
		+ Fast and efficient, especially for large arrays.
		+ Easy to use and maintain.
	* Cons:
		+ Requires an additional library (Lodash).
		+ May not be suitable for all types of data or edge cases.
2. **Regular expressions (regex)**:
	* Pros:
		+ Highly flexible and powerful for complex pattern matching.
		+ Can be used in a variety of contexts, including strings and arrays.
	* Cons:
		+ Can be slow and resource-intensive for simple tasks.
		+ Steeper learning curve due to the complexity of regex syntax.

**Library Used**

In this benchmark, Lodash is used as a utility library. Specifically, it provides an implementation of the `includes` method that can be called on arrays. Regular expressions are built into JavaScript and do not require an additional library.

**Special JS Feature/Syntax**

Neither test case uses any special JavaScript features or syntax beyond standard ES6 JavaScript. However, if we were to consider alternative approaches using modern JavaScript features, we might explore options like:

* Using `Set` data structures for efficient lookup.
* Leveraging browser optimizations like caching and pre-compilation.

**Other Alternatives**

For similar benchmarks, you might want to explore other alternatives, such as:

1. **Using a fast array implementation**: Instead of relying on the built-in JavaScript array implementation, you could use a faster, optimized array library like `fast-arrays` or ` typed-array`.
2. **Optimizing the test case itself**: You might consider optimizing the specific test case by reducing the number of iterations or using more efficient data structures.
3. **Comparing with other libraries**: Depending on your goals, you could compare the performance of Lodash's `includes` function against other popular array utilities like `Array.prototype.includes()` or custom implementations.

These alternatives can provide valuable insights into optimization strategies and help you find the best approach for specific use cases.

Related benchmarks:

Regular vs Lodash vs Array (version: 0)

Comparing performance of: Array vs Regular

Created: 4 years ago by: Registered User

Jump to the latest result

Array

Regular

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):