Benchmark: string based guid generation

Script Preparation code:

function generate_guid(s) {
    var i = 0,
        guid = '',
        n = s && s.length || 0;

    for (; i < 8; i++) {
        guid += (i < n) ? s[i] : '0';
    }

    guid += '-';

    for (i = 8; i < 12; i++) {
        guid += (i < n) ? s[i] : '0';
    }

    guid += '-';

    for (i = 12; i < 16; i++) {
        guid += (i < n) ? s[i] : '0';
    }

    guid += '-';

    for (i = 16; i < 20; i++) {
        guid += (i < n) ? s[i] : '0';
    }

    guid += '-';

    for (i = 20; i < 32; i++) {
        guid += (i < n) ? s[i] : '0';
    }

    return guid;
}

function randomString() {
    return Math.random().toFixed(16).slice(2);
}

function str32() {
    return randomString() + randomString();
}

var J = 0;
var repo = new Array(1000).fill(0).map(str32);

Tests:

undefined
generate_guid()
empty string
generate_guid('')
random out of 1000
generate_guid(repo[J++])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
undefined
empty string
random out of 1000

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 7 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36

Browser/OS: Chrome 61 on Linux

View result in a separate tab

Test name	Executions per second
undefined	1905698.5 Ops/sec
empty string	1895241.8 Ops/sec
random out of 1000	1172448.2 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared, and their pros and cons.

**Benchmark Overview**

The benchmark measures the performance of JavaScript functions involved in generating GUIDs (Globally Unique Identifiers) from strings. A GUID is a 128-bit number used as a unique identifier for objects.

**Options Compared**

There are three test cases:

1. **`generate_guid()`**: This function generates a GUID without any input string.
2. **`generate_guid('')`**: This function generates a GUID using an empty string as the input.
3. **`generate_guid(repo[J++])`**: This function generates a GUID using a randomly generated string from the `repo` array.

**Pros and Cons of Each Approach**

1. **`generate_guid()`**:
	* Pros: Simple, straightforward implementation.
	* Cons: No input string means no meaningful result, making it difficult to compare with other test cases.
2. **`generate_guid('')`**:
	* Pros: Returns a valid GUID, allowing for comparison with other test cases.
	* Cons: Produces an empty string input, which might not be representative of real-world usage.
3. **`generate_guid(repo[J++])`**:
	* Pros: Generates a random string from the `repo` array, providing a realistic scenario.
	* Cons: May produce identical results for repeated executions, affecting accuracy.

**Library and its Purpose**

The `str32()` function uses a library-like approach to generate a random string. Specifically, it:

```javascript
function str32() {
  return Math.random().toFixed(16).slice(2);
}
```

This implementation generates a random 16-digit hexadecimal string using `Math.random()`.

**Other Special Features or Syntax**

There are no notable special features or syntax used in this benchmark.

**Alternative Approaches**

If you wanted to compare alternative approaches, some possibilities could include:

1. Using a more efficient GUID generation algorithm.
2. Implementing the GUID generation using a different data structure (e.g., UUID).
3. Comparing performance with other programming languages or libraries.
4. Using a larger input string or array for the `repo` array.

Keep in mind that these alternatives would require significant modifications to the benchmark and might affect its accuracy and relevance.

Related benchmarks:

string based guid generation (version: 0)

convert string to guid

Comparing performance of: undefined vs empty string vs random out of 1000

Created: 7 years ago by: Guest

Jump to the latest result

undefined

empty string

random out of 1000

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):