Benchmark: 어느게 빠른가d

Script Preparation code:

function calculateChange(payment, cost) {
  // 코드를 작성해 주세요.
  let change = payment - cost; // 거스름돈 총액

  function billCounting(amount) {
    const count = Math.floor(change / amount);
    change = change - amount * count;
    return count;
  }

  const fiftyCount = billCounting(50000);
  const tenCount = billCounting(10000);
  const fiveCount = billCounting(5000);
  const oneCount = billCounting(1000);

  console.log(`50000원 지폐: ${fiftyCount}장`);
  console.log(`10000원 지폐: ${tenCount}장`);
  console.log(`5000원 지폐: ${fiveCount}장`);
  console.log(`1000원 지폐: ${oneCount}장`);
}

calculateChange(100000, 33000);
console.log('');
calculateChange(500000, 378000);

Tests:

a
calculateChange(100000, 33000);
b
calculateChange(500000, 378000);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
a
b

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.

**Overview of the Benchmark**

The provided JSON represents a JavaScript microbenchmark for testing the performance of various approaches to calculate change in a currency exchange scenario.

**What is tested?**

The benchmark tests two individual test cases, each representing a different input combination:

1. `calculateChange(100000, 33000);`
2. `calculateChange(500000, 378000);`

Both test cases use the same `calculateChange` function, which takes two arguments: `payment` and `cost`. The function calculates the change by subtracting the cost from the payment and then divides the result by denominations (50000, 10000, 5000, and 1000) using a helper function `billCounting`.

**Options compared**

The benchmark compares different approaches to calculate change:

1. **Naive Approach**: The original implementation provided in the Benchmark Definition JSON.
2. **Loop Unrolling**: A technique where multiple iterations of the same loop are combined into a single loop, reducing the number of loops and potentially improving performance.

**Pros and Cons**

* Naive Approach:
	+ Simple to implement
	+ Easy to understand
	+ May be sufficient for small inputs
* Loop Unrolling:
	+ Can improve performance for larger inputs or more complex calculations
	+ Requires more code and may be harder to understand
	+ May not provide significant benefits for smaller inputs

**Library usage**

The benchmark uses the `Math` library, which provides mathematical functions such as `floor()` used in the `billCounting` function.

**Special JS feature or syntax**

There are no special JavaScript features or syntaxes used in this benchmark. The code follows standard JavaScript syntax and conventions.

**Other alternatives**

For calculating change, alternative approaches could include:

* Using a more efficient algorithm, such as the "long division" method.
* Employing parallel processing or multi-threading to take advantage of multiple CPU cores.
* Utilizing a Just-In-Time (JIT) compiler or a native code generator to optimize performance.

**Benchmark Preparation Code**

The provided JSON includes an example implementation of the `calculateChange` function in JavaScript. This code is intended to be used as a reference for developers to understand the benchmark's requirements and constraints.

**Example usage**

To run this benchmark, users would:

1. Create a new test case by copying the Benchmark Definition JSON.
2. Modify the script preparation code to include their own implementation of the `calculateChange` function or use the provided example.
3. Run the benchmark using MeasureThat.net's web interface.

By executing the benchmark, developers can compare the performance of different approaches and identify potential bottlenecks in their code.

Related benchmarks:

어느게 빠른가d (version: 0)

Comparing performance of: a vs b

Created: 4 years ago by: Guest

Jump to the latest result

a

b

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):