Benchmark: array replace string3

Tests:

no regex
const diacritics = ["€", "â", "à", "á", "ã", "å", "ç", "ñ", "é", "ê", "ë", "è", "í", "î", "ï", "ì", "À", "Á", "Ã", "Å", "Ñ", "Ø", "ø", "É", "Ê", "È", "Í", "Î", "Ï", "Ì", "ð", "ý", "µ", "Ð", "Ý", "×", "ô", "¦", "ò", "ó", "õ", "û", "ù", "ú", "ÿ", "Ô", "Ò", "Ó", "Õ", "Û", "Ù", "Ú", "Ä", "Ö", "Ü", "Ï", "ß", "ä", "ö", "ü", "ï", "ą", "Ą", "ę", "Ę", "Ó", "ó", "ć", "Ć", "ł", "Ł", "ń", "Ń", "Ś", "ś", "Ż", "ż", "ź", "Ź"]; let value = 'Long Ócompany nameÓ before can replaceÓ'; const arr = []; for (let i = 0, l = value.length; i < l; i++) { const char = value.charAt(i); arr.push(diacritics.includes(char) ? char + '‎' : char) } value = arr.join('');
regex
const diacritics2 = /([€âàáãåçñéêëèíîïìÀÁÃÅÑØøÉÊÈÍÎÏÌðýµÐÝ×ô¦òóõûùúÿÔÒÓÕÛÙÚÄÖÜÏßäöüïąĄęĘÓóćĆłŁńŃŚśŻżźŹ])/g; let value2 = 'Long Ócompany nameÓ before can replaceÓ'; value2 = value2.replace(diacritics2, `$1${'‎'}`);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
no regex
regex

Fastest: N/A

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 and explore what's being tested on MeasureThat.net.

**Benchmark Overview**

The provided JSON represents a benchmark that tests how fast two approaches are to replace specific characters in a string with their accented counterparts. The test is focused on comparing the performance of using regular expressions (regex) versus not using regex at all.

**Options Compared**

There are two options being compared:

1. **No Regex**: This approach uses a simple loop to iterate through each character in the input string and checks if it's included in the `diacritics` array. If it is, the character is replaced with its accented counterpart.
2. **Regex**: This approach uses a regular expression pattern (`diacritics2`) to match any of the characters in the `diacritics` array and replaces them with their accented counterparts.

**Pros and Cons**

**No Regex:**

Pros:

* Simple and easy to understand
* No dependencies on external libraries or regex syntax
* Can be more predictable for developers familiar with string manipulation

Cons:

* May be slower due to the manual loop iteration
* Less efficient than regex, especially for larger inputs

**Regex:**

Pros:

* More efficient than the no-regex approach
* Can handle larger inputs and more complex patterns
* Often used in real-world applications for text processing

Cons:

* Steeper learning curve for developers unfamiliar with regex syntax
* May have performance overhead due to pattern matching

**Library and Syntax Considerations**

The `diacritics` library is not explicitly mentioned, but it's likely a pre-defined array of accented characters used in the benchmark. This library is not specific to MeasureThat.net, as it could be any JavaScript array or object containing accented characters.

There are no special JavaScript features or syntax being tested in this benchmark. It's purely focused on comparing two approaches for string replacement.

**Other Alternatives**

If you're interested in exploring other alternatives, here are a few options:

* **Using a library like underscore.js**: You could use the `_.map()` function to replace characters with their accented counterparts, which might provide better performance and readability than the manual loop approach.
* **Using a regex engine library**: Libraries like `regex-pick` or `regex- escape` can provide more efficient regex execution and might be worth exploring for this benchmark.

Keep in mind that the best approach depends on your specific use case, performance requirements, and personal preference. MeasureThat.net's benchmark is just one example of how you can test different approaches to string replacement.

Related benchmarks:

array replace string3 (version: 0)

Array replaces string

Comparing performance of: no regex vs regex

Created: 3 years ago by: Guest

Jump to the latest result

no regex

regex

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):