Benchmark: Case insensitive string comparison (moved prep code, undefined)

Tests:

toLowerCase()
"soFt".toLowerCase() === "Software Development".toLowerCase()
Regex
const re = new RegExp("soFt", "gi") re.test("Software Development")
toLowerCase() FAIL
"doFt".toLowerCase() === "Software Development".toLowerCase()
Regex FAIL
const re = new RegExp("doFt", "gi") re.test("Software Development")

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
toLowerCase()
Regex
toLowerCase() FAIL
Regex FAIL

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

I'd be happy to help you understand the JavaScript microbenchmark provided by MeasureThat.net.

**Benchmark Definition**

The benchmark definition is a simple string comparison between two strings, one using the `toLowerCase()` method and the other using a regular expression (Regex). The benchmark aims to measure the performance difference between these two approaches on a case-insensitive basis.

**Options Compared**

Two options are compared:

1. **toLowerCase()**: This method converts both input strings to lowercase before comparing them.
2. **Regular Expression (Regex)**: A regular expression is used to match the pattern "soFt" in the first string and "doFt" in the second string, ignoring case.

**Pros and Cons**

Here's a brief overview of each approach:

1. **toLowerCase()**:
	* Pros:
		+ Simple and easy to understand.
		+ Works well for small strings.
	* Cons:
		+ May be slow if dealing with very large strings due to the conversion overhead.
2. **Regular Expression (Regex)**:
	* Pros:
		+ Can handle more complex patterns and longer strings.
		+ Often faster than `toLowerCase()` for large strings.
	* Cons:
		+ More complicated to understand, especially for beginners.
		+ May have a higher overhead due to the complexity of the regular expression engine.

**Library Used (Regex)**

The regular expression library used in this benchmark is likely the built-in JavaScript regex engine. This engine provides a robust and efficient way to work with regular expressions.

**Special JS Feature/Syntax**

None of the benchmarks use any special JavaScript features or syntax beyond what's required for basic string manipulation. However, it's worth noting that modern JavaScript environments may have additional features like `let` and `const` declarations, which are not explicitly mentioned in this benchmark.

**Alternatives**

Other approaches to compare strings case-insensitively include:

1. **Casefold()**: This method is similar to `toLowerCase()` but is designed for Unicode strings.
2. **i-strings**: Some JavaScript environments provide an `i` flag for the `RegExp` constructor, which makes the regular expression engine ignore case when matching patterns.

These alternatives may offer better performance or more precise results depending on the specific use case. However, they also require additional considerations and expertise to implement correctly.

In summary, this benchmark provides a straightforward comparison between two approaches to string comparison: `toLowerCase()` and Regex. The choice of approach depends on factors like string length, complexity, and performance requirements.

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:90.0) Gecko/20100101 Firefox/90.0

Browser/OS: Firefox 90 on Windows

View result in a separate tab

Test name	Executions per second
toLowerCase()	691130752.0 Ops/sec
Regex	4485533.5 Ops/sec
toLowerCase() FAIL	555643008.0 Ops/sec
Regex FAIL	5359525.5 Ops/sec

Related benchmarks:

Case insensitive string comparison (moved prep code, undefined) (version: 0)

Comparing performance of: toLowerCase() vs Regex vs toLowerCase() FAIL vs Regex FAIL

Created: 3 years ago by: Guest

Jump to the latest result

toLowerCase()

Regex

toLowerCase() FAIL

Regex FAIL

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):