Benchmark: Get words ending in number

Script Preparation code:

function encontrarTermosComNumeroFinal1(input) {
  const palavras = input.split(' ');
  const termosComNumeroFinal = palavras.filter(palavra => {
    const ultimoCaractere = palavra[palavra.length - 1];
    return !isNaN(parseInt(ultimoCaractere));
  });
  return termosComNumeroFinal;
}

function encontrarTermosComNumeroFinal2(input) {
  return input.split(' ').filter(palavra => {
    const ultimoCaractere = palavra.charCodeAt(palavra.length - 1);
    return ultimoCaractere >= 48 && ultimoCaractere <= 57;
  });
}

function encontrarTermosComNumeroFinal3(input) {
  return input.split(' ').filter(palavra => palavra[palavra.length - 1] >= '0' && palavra[palavra.length - 1] <= '9');
}

Tests:

regex
'Este é um teste1 com vários termos2 e números3'.match(/[a-z]+\d/g);
1
encontrarTermosComNumeroFinal1('Este é um teste1 com vários termos2 e números3')
2
encontrarTermosComNumeroFinal2('Este é um teste1 com vários termos2 e números3')
3
encontrarTermosComNumeroFinal3('Este é um teste1 com vários termos2 e números3')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
regex
1
2
3

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 11 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

Browser/OS: Chrome 120 on Windows

View result in a separate tab

Test name	Executions per second
regex	4813274.0 Ops/sec
1	526127.1 Ops/sec
2	8632408.0 Ops/sec
3	8414471.0 Ops/sec

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

LLMs can make mistakes. Check important info.

To analyze the provided benchmark, I'll break down what's being tested, compare different approaches, and discuss their pros and cons.

**Benchmark Description**

The benchmark measures how efficiently JavaScript can extract words ending in numbers from a given input string. There are three test cases:

1. **Regex (Test Case 2)**: Uses regular expressions to match words with digits at the end.
2. **`encontrarTermosComNumeroFinal1` function**: A custom JavaScript function that splits the input into individual words, filters out those ending in a number using `parseInt`, and returns the remaining words.
3. **`encontrarTermosComNumeroFinal2` function**: Another custom JavaScript function that uses `charCodeAt` to check if the last character of each word is a digit (48-57).
4. **`encontrarTermosComNumeroFinal3` function**: A third custom JavaScript function that checks if the last character of each word is between '0' and '9'.

**Comparison of Approaches**

* **Regex (Test Case 2)**: Pros:
	+ Efficient, as regular expressions can be optimized for performance.
	+ Portable across different browsers and platforms.
* Cons:
	+ May have security implications if not properly sanitized.
	+ Can be slow due to the complexity of regular expression matching.
* `encontrarTermosComNumeroFinal1` function: Pros:
	+ Easy to understand and maintain.
	+ No external dependencies or libraries required.
* Cons:
	+ Can be slower than regex-based approaches, as it involves iterating over each word character by character.
	+ May not perform well for large input strings.
* `encontrarTermosComNumeroFinal2` function: Pros:
	+ Simple and easy to understand.
	+ No external dependencies or libraries required.
* Cons:
	+ Less efficient than regex-based approaches, as it requires explicit iteration over each character.
	+ May not perform well for large input strings.
* `encontrarTermosComNumeroFinal3` function: Pros:
	+ Similar to the previous one, with a simple and easy-to-understand approach.
* Cons:
	+ Same drawbacks as the previous one.

**Library Usage**

None of the test cases use external libraries.

**Special JS Features or Syntax**

There are no specific JavaScript features or syntax being used in these benchmarks. However, the `charCodeAt` method is used in Test Case 2, which can be considered a "legacy" feature from older versions of JavaScript. If modern JavaScript environments were to be tested instead, this might not be necessary.

**Other Alternatives**

Alternative approaches for extracting words ending in numbers could include:

1. **Using a dedicated natural language processing (NLP) library**: Such as `lodash` or `moment`, which provide more advanced features and optimizations for text analysis.
2. **Regular expression alternatives**: Like `\b\w*\d+\b` or `\b\w*(?=\d+)\b`, which might be more efficient than the standard regex used in Test Case 2.
3. **Using a JavaScript implementation of the Boyer-Moore string searching algorithm**: Which could provide improved performance for large input strings.

Keep in mind that these alternatives may add complexity to the benchmark and require additional setup or dependencies.

Related benchmarks:

Get words ending in number (version: 0)

Comparing performance of: regex vs 1 vs 2 vs 3

Created: 11 months ago by: Registered User

Jump to the latest result

regex

1

2

3

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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