Benchmark: RegEx.match vs Array.includes

Script Preparation code:

var appState = "active";
var regex = /inactive|background/;
var arr = ['inactive', 'background'];

Tests:

RegEx.match
regex.match(appState);
Array.includes
arr.includes(appState);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
RegEx.match
Array.includes

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its test cases.

**Benchmark Definition**

The benchmark is defined in JSON format, specifying two test cases:

1. `Regex.match`: Tests the performance of the regular expression matching function (`regex.match`) on the string `"active"`.
2. `Array.includes`: Tests the performance of the array search function (`arr.includes`) on the same value `"active"`.

**Script Preparation Code**

The script preparation code is provided to set up the environment for the benchmark:
```javascript
var appState = "active";
var regex = /inactive|background/;
var arr = ["inactive", "background"];
```
This code defines three variables:

* `appState`: The string value to be tested in both benchmarks.
* `regex`: A regular expression pattern that will be used for the `Regex.match` benchmark. This pattern matches either `"inactive"` or `"background"`.
* `arr`: An array containing the same values as the `regex` pattern.

**Benchmark Test Cases**

The test cases are defined within an array:
```json
[
  {
    "Benchmark Definition": "regex.match(appState);",
    "Test Name": "RegEx.match"
  },
  {
    "Benchmark Definition": "arr.includes(appState);",
    "Test Name": "Array.includes"
  }
]
```
Each test case has two parts:

1. `Benchmark Definition`: The actual code to be executed for each benchmark (e.g., `regex.match(appState)` or `arr.includes(appState)`).
2. `Test Name`: A human-readable name for the benchmark.

**Library and Special JS Features**

There are no external libraries used in this benchmark. However, note that this benchmark does not use any special JavaScript features beyond the regular expression syntax and array methods (`includes()`).

**Pros and Cons of Different Approaches**

The two approaches being compared here are:

1. **Regular Expression Matching (Regex.match)**:
	* Pros: Regular expressions can provide a flexible way to search for patterns in strings.
	* Cons: Regular expressions can be computationally expensive, especially for complex patterns.
2. **Array Search (Array.includes)**:
	* Pros: Array search is often faster and more efficient than regular expression matching, especially for simple searches.
	* Cons: It requires the value to be searched to be present in the array.

**Other Considerations**

When choosing between these two approaches, consider the following factors:

* Complexity of the pattern: If you need to match a complex pattern with multiple conditions, regular expressions might be more suitable. However, for simple cases like this one, array search might be faster.
* Data size and structure: If you're working with large datasets or arrays, array search might be more efficient.

**Alternatives**

If you need to compare other JavaScript methods, consider the following alternatives:

1. **String.prototype.indexOf()**: Similar to `Array.includes`, but part of the built-in String prototype.
2. **Regex.test()**: Another way to execute regular expressions in JavaScript.
3. **Other array methods**: Depending on your specific use case, you might want to test other array methods like `Array.isArray()` or `Array.prototype.indexOf()`.

Keep in mind that these alternatives may have different performance characteristics and trade-offs compared to the original benchmark.

Latest run results:

Run details: (Test run date: 15 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36 Edg/130.0.0.0

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
RegEx.match	0.0 Ops/sec
Array.includes	5589213.0 Ops/sec

Related benchmarks:

RegEx.match vs Array.includes (version: 0)

Comparing performance of: RegEx.match vs Array.includes

Created: one year ago by: Guest

Jump to the latest result

RegEx.match

Array.includes

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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