Benchmark: Test for numbers

HTML Preparation code:

<!--your preparation HTML code goes here-->

Script Preparation code:

function generateRandomString(length) {
  const randomValues = new Uint8Array(length);
  window.crypto.getRandomValues(randomValues);
  const randomChars = Array.from(randomValues, (value) => String.fromCharCode(value));
  return randomChars.join('');
}

const text = generateRandomString(1000);

function extractNumbers(text) {
	if (typeof text !== 'string') {
		throw new Error('Invalid input: Must provide a valid string')
	}

	const numbers = text.match(/\d+/g)


	const result = []
	for (let i = 0; i < numbers.length; i++) {
		result.push(+numbers[i])
	}

	return result
}

Tests:

match
const numbers = text.match(/\d+/g) console.log(numbers)
split
const numbers = text.split(/\d+/g) console.log(numbers)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
match
split

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; rv:133.0) Gecko/20100101 Firefox/133.0

Browser/OS: Firefox 133 on Mac OS X 10.15

View result in a separate tab

split

205K/s

match

205K/s

View exact numbers

Test name	Executions per second
✓ split	205,349 Ops/sec
match	204,769 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):

LLMs can make mistakes. Check important info.

The benchmark you're analyzing is focused on comparing two different methods for extracting numbers from a randomly generated string in JavaScript. Below, I will explain what each method is tested, their pros and cons, and some additional considerations.

### Overview of Test Cases

1. **Using `match` Method**
   - **Test Name**: `match`
   - **Benchmark Definition**: `const numbers = text.match(/\d+/g)`

The `match` method is employed here with a regular expression (`/\d+/g`) to find all sequences of digits in the input string `text`. The result is an array containing those found sequences.

2. **Using `split` Method**
   - **Test Name**: `split`
   - **Benchmark Definition**: `const numbers = text.split(/\d+/g)`

In this case, the `split` method uses the same regular expression to divide the string `text` wherever a digit sequence is found. This will yield an array where numbers are the separators and non-numeric substrings are the resulting elements.

### Comparison of Approaches

#### 1. **`match` Method**
- **Pros**:
  - Directly returns an array of matches, which can be more intuitive when the goal is to extract specific patterns (digits, in this case).
  - Likely to have less overhead since no extra parsing of the resulting strings is required.

- **Cons**:
  - It can return `null` if no matches are found, which may require additional handling logic in some cases.

#### 2. **`split` Method**
- **Pros**:
  - Offers the possibility to further process or examine the parts of the string relative to the numeric values.
  - Might be more flexible in scenarios where we want to consider both numbers and non-numeric segments.

- **Cons**:
  - The resulting array includes segments separated by numbers, so additional handling is needed to filter out the numeric values, which may be less straightforward and require extra steps.
  - It can create many undesired empty strings in cases of consecutive delimiters.

### Additional Considerations

- **Performance**: According to the benchmark results, both methods exhibit high performance, but the `match` method shows slightly less execution time than the `split` method, executing around 204,769 times per second compared to 205,348 for `split`. Although both methods can perform adequately for moderate-sized strings, as the dataset increases, these performance characteristics may shift.

- **Use Cases**: The choice between `match` and `split` largely depends on the specific application requirements. If the goal is to simply retrieve numbers, `match` is more efficient. However, if both numbers and their surrounding text need consideration, `split` might serve better despite potentially higher complexity.

### Alternative Approaches

1. **Using `filter` with `map`**: Alternatively, you could convert the string directly into an array of characters and filter out non-numeric values, but this method can be less efficient since it requires traversing the entire array. 
   
   ```javascript
   const numbers = Array.from(text).filter(char => !isNaN(char)).map(Number);
   ```

2. **Custom Parsing Loop**: Another alternative is writing a custom loop to iterate through the characters of the string, building a number from contiguous digits and pushing that to an array when encountering a non-digit character. This can provide optimized performance for specific scenarios.

In summary, the benchmark compares the `match` and `split` methods for extracting numbers from a string. Depending on the specific use case, one method may be favored over the other due to performance or desired output structure.

Test for numbers (version: 1)

Comparing performance of: `match vs split`

Created: one year ago by: Guest

Go to the latest result

match

split

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):

Test for numbers (version: 1)

Comparing performance of: match vs split

Created: one year ago by: Guest

Go to the latest result

match

split

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):

Related benchmarks

Comparing performance of: `match vs split`