Benchmark: UOC Modul 1 - MeasureThat.net

Tests:

Xavi Morell
for (let i = 0; i < 100; i++) { if (i % 3 === 0 && i % 5 === 0) console.log("FizzBuzz"); else if (i % 3 === 0) console.log("Fizz"); else if (i % 5 === 0) console.log("Buzz"); else console.log(i); }
David Lampon
let result; for (let i = 0; i < 100; i++) { result = ""; if (i % 3 === 0) { result += "Fizz"; } if (i % 5 === 0) { result += "Buzz"; } else { result = i; } console.log(result); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Xavi Morell
David Lampon

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark JSON and explain what's being tested, compared, and considered.

**Benchmark Definition:**

The benchmark is based on the classic "FizzBuzz" problem, which involves printing numbers from 0 to 99 and replacing multiples of 3 with "Fizz", multiples of 5 with "Buzz", and multiples of both with "FizzBuzz". The task is to compare different approaches to solve this problem.

**Test Cases:**

There are two test cases:

1. **Test Case 1:** Uses a traditional `for` loop approach, similar to the classic FizzBuzz algorithm.
2. **Test Case 2:** Uses a more modern approach with an intermediate variable `result` to build the output string.

**Options Compared:**

The benchmark compares two approaches:

1. **Traditional Loop Approach (Test Case 1):**
	* Pros:
		+ Easy to understand and implement.
		+ No additional memory allocation required.
	* Cons:
		+ May be slower due to the overhead of multiple `console.log` statements.
2. **Modern String Building Approach (Test Case 2):**
	* Pros:
		+ More efficient, as it avoids unnecessary `console.log` statements.
		+ Can potentially outperform traditional loop approach due to reduced overhead.
	* Cons:
		+ Requires more memory allocation for the intermediate variable `result`.

**Library Used:**

Neither test case uses an external library. However, it's worth noting that modern JavaScript environments like Node.js and browsers might have internal optimizations or built-in functions that could affect the benchmark results.

**Special JS Feature/Syntax:**

There are no special JavaScript features or syntax used in these test cases. They only rely on standard JavaScript language constructs.

**Other Considerations:**

When interpreting the benchmark results, consider the following:

* **Executions Per Second (EPS):** The EPS metric represents how many iterations of the FizzBuzz algorithm a browser can execute per second.
* **Browser and Device Platform:** The benchmark runs on Chrome 69 on Mac OS X 10.13.2. This specific environment might not be representative of other browsers or platforms.
* **Test Name:** Both test cases are run by users "Xavi Morell" and "David Lampon", which suggests that the results might not be unbiased.

**Alternatives:**

If you'd like to explore alternative approaches, consider the following:

1. **Using `map` and `forEach`:**
```javascript
[...Array(100)].forEach((_, i) => {
  const result = (i % 3 === 0 && i % 5 === 0 ? 'FizzBuzz' : (i % 3 === 0 ? 'Fizz' : (i % 5 === 0 ? 'Buzz' : i)));
  console.log(result);
});
```
This approach uses `map` and `forEach` to iterate over the array, reducing memory allocation and potentially improving performance.
2. **Using `reduce`:**
```javascript
[...Array(100)].reduce((result, i) => {
  const fizzle = (i % 3 === 0 ? 'Fizz' : '');
  const buzzle = (i % 5 === 0 ? 'Buzz' : '');
  result += (fizzle + buzzle || i);
  return result;
}, '');
console.log(result);
```
This approach uses `reduce` to iterate over the array, building a single string that combines the results of multiple operations.

Related benchmarks:

UOC Modul 1 (version: 0)

FizzBuzz

Comparing performance of: Xavi Morell vs David Lampon

Created: 7 years ago by: Guest

Jump to the latest result

Xavi Morell

David Lampon

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):