Benchmark: GetRotation v2 - MeasureThat.net

HTML Preparation code:

<script>
    const SPEED_TO_DEGREE = [
        [-6000, 60],
        [-5000, 70],
        [-4000, 80],
        [-3000, 90],
        [-2000, 110],
        [-1000, 120],
        [-500, 150],
        [0, 180],
        [500, 210],
        [1000, 240],
        [2000, 260],
        [3000, 270],
        [4000, 280],
        [5000, 290],
        [6000, 300],
    ];

    const MIN_SPEED = SPEED_TO_DEGREE[0][0];
    const MAX_SPEED = SPEED_TO_DEGREE[SPEED_TO_DEGREE.length - 1][0];
</script>

Tests:

GetRotation A
const getRotationA = (absSpeed, sign) => { // prevent needle from going past 6 or -6 const thousandsPlace = Math.max(Math.min(absSpeed / 1000, 6), -6); let result; if (thousandsPlace <= 1) { result = thousandsPlace * 60; } else if (thousandsPlace <= 2) { result = (thousandsPlace - 1) * 19 + 60; } else { result = ((thousandsPlace - 2) / 4) * 42 + 79; } return sign * result; }; return getRotationA(85, 1);
GetRotation B
const getRotationB = (speed) => { if (speed < MIN_SPEED) return MIN_SPEED; if (speed > MAX_SPEED) return MAX_SPEED; for (let i = 1; i < SPEED_TO_DEGREE.length; i++) { if (speed <= SPEED_TO_DEGREE[i][0]) { const fraction = (speed - SPEED_TO_DEGREE[i - 1][0]) / (SPEED_TO_DEGREE[i][0] - SPEED_TO_DEGREE[i - 1][0]); return ( SPEED_TO_DEGREE[i - 1][1] + fraction * (SPEED_TO_DEGREE[i][1] - SPEED_TO_DEGREE[i - 1][1]) ); } } }; return getRotationB(85);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
GetRotation A
GetRotation B

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

I'll explain the JavaScript microbenchmark on MeasureThat.net.

**Benchmark Definition**

The benchmark measures the execution time of two different functions, `getRotationA` and `getRotationB`, which calculate the rotation in degrees based on the speed of an object. The functions take into account different speed ranges to provide accurate results.

**Script Preparation Code**

The script preparation code includes a constant `SPEED_TO_DEGREE` that defines various speed thresholds (in units of thousands) with corresponding rotation values in degrees. This array is used to determine which speed range the input speed falls into.

**Options Compared**

There are two options compared:

1. **getRotationA**: This function uses a simple, rule-based approach to calculate the rotation. It first determines the "thousands place" of the input speed and then applies different calculations based on that value.
2. **getRotationB**: This function uses a more complex approach, iterating through the `SPEED_TO_DEGREE` array to find the closest match for the input speed.

**Pros and Cons**

Here's a brief summary of each option:

* **getRotationA**:
	+ Pros: Simple, easy to understand, and potentially faster since it doesn't require multiple iterations.
	+ Cons: May not provide accurate results for very high or low speeds due to the simple rule-based approach.
* **getRotationB**:
	+ Pros: More accurate for a wider range of speeds since it iterates through the `SPEED_TO_DEGREE` array.
	+ Cons: Potentially slower due to the multiple iterations and more complex logic.

**Library**

None, as both functions only rely on basic arithmetic operations.

**Special JS Features or Syntax**

There are no notable special features or syntax used in these functions. They appear to be straightforward JavaScript code using standard arithmetic operators.

**Other Considerations**

* The `getRotationA` function uses a technique called "integer division" (truncating the result of dividing by 1000) to determine the "thousands place." This can affect the accuracy of the results.
* Both functions use a similar approach to handle edge cases, such as speeds less than or greater than certain thresholds.

**Alternative Approaches**

Other possible approaches could include:

1. Using a lookup table with pre-computed rotation values for each speed range.
2. Implementing a more advanced interpolation formula to estimate the rotation value based on the input speed.
3. Utilizing parallel processing or multi-threading to improve performance by executing multiple iterations concurrently.

However, these alternatives may add complexity and potential overhead that outweighs the benefits of improved accuracy in this specific benchmark.

Related benchmarks:

GetRotation v2 (version: 1)

Comparing performance of: GetRotation A vs GetRotation B

Created: 2 years ago by: Registered User

Jump to the latest result

GetRotation A

GetRotation 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):