Benchmark: RegExp replace vs no replace

Tests:

Current with RegExp
const strip = (itemSlug, locale) => { let slugWithLocale = locale ? locale + '/' + itemSlug : itemSlug; slugWithLocale = slugWithLocale.replace(/\/?index$/, ''); return slugWithLocale; } strip('foo'); strip('foo', 'fr'); strip('index'); strip('index', 'fr'); strip('guides/getting-started'); strip('guides/getting-started', 'fr');
Simpler without replace
const strip = (itemSlug, locale) => { const slug = itemSlug === 'index' ? '' : itemSlug; return locale ? (slug ? locale + '/' + slug : locale) : slug; } strip('foo'); strip('foo', 'fr'); strip('index'); strip('index', 'fr'); strip('guides/getting-started'); strip('guides/getting-started', 'fr');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Current with RegExp
Simpler without replace

Fastest: N/A

Slowest: N/A

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/127.0.0.0 Safari/537.36

Browser/OS: Chrome 127 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Current with RegExp	1683195.8 Ops/sec
Simpler without replace	13223985.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what is being tested.

**Benchmark Definition**

The benchmark definition represents two different approaches to implement a `strip` function, which appears to be used for URL rewriting or path normalization. The two implementations differ in their use of regular expressions.

1. **RegExp Replace**: This implementation uses the `replace()` method with a regular expression to remove certain characters from the input string.
2. **Simpler without replace**: This implementation simplifies the logic by directly returning the input string if it matches a specific condition, bypassing the need for regular expressions.

**Options Compared**

The two implementations are being compared in terms of their performance, specifically the number of executions per second.

**Pros and Cons**

* **RegExp Replace**:
	+ Pros: More flexible and can handle complex replacement rules.
	+ Cons: May be slower due to the overhead of compiling a regular expression.
* **Simpler without replace**:
	+ Pros: Can be faster since it avoids the compilation overhead of regular expressions.
	+ Cons: Limited to simple replacement rules, which may not cover all cases.

**Other Considerations**

The benchmark is likely interested in measuring the performance impact of using regular expressions for string manipulation. The choice between these two approaches can significantly affect execution speed, especially when dealing with large inputs or complex replacement logic.

**Library Usage**

Neither implementation appears to use a specific library. However, it's worth noting that if the `strip` function were to be used in production code, it might benefit from being wrapped in a utility library like Lodash or Ramda for additional functionality and performance optimization.

No special JavaScript features or syntax are mentioned in the benchmark definition.

**Alternatives**

Other alternatives for implementing string manipulation functions could include:

* Using a more efficient string replacement algorithm, such as the `String.prototype.replace()` method with a custom function.
* Leveraging a dedicated string processing library like ICU (International Components for Unicode) for Unicode-aware string manipulation.
* Employing a just-in-time (JIT) compiler or a transpiler like Babel to optimize the code for specific use cases.

In summary, the benchmark is designed to compare the performance of two different approaches to implementing a `strip` function: one using regular expressions and another simplifying the logic without them. The goal is to understand the impact of using regular expressions on execution speed and identify potential optimizations for string manipulation in JavaScript applications.

Related benchmarks:

RegExp replace vs no replace (version: 0)

Comparing performance of: Current with RegExp vs Simpler without replace

Created: one year ago by: Registered User

Jump to the latest result

Current with RegExp

Simpler without replace

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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