Benchmark: math with cond - MeasureThat.net

Script Preparation code:

var sliderWidth = 100;
var posX = 50;
function matho (posX, sliderWidth) {
	return Math.min(Math.max(0, posX), sliderWidth);
}
function condo (posX, sliderWidth) {
	return (posX < 0)?0:(posX > sliderWidth)?sliderWidth:posX;
}

Tests:

math
var posY = condo(50, 100);
cond
var posY = matho(50, 100);
math 2
var posY = matho(200, 100);
cond 2
var posY = condo(200, 100);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
math
cond
math 2
cond 2

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 break down the benchmark and its results to help you understand what's being tested.

**Benchmark Definition**

The benchmark is defined by a JSON object that contains:

* `Script Preparation Code`: A JavaScript code snippet that defines two functions: `matho` and `condo`. Both functions take two arguments, `posX` and `sliderWidth`, and return the minimum or maximum value of `posX` and `sliderWidth`, depending on the function.
* `Html Preparation Code`: An empty string, indicating that no HTML code is necessary for this benchmark.

The script preparation code is used to prepare the environment before running each test case. It sets up variables `sliderWidth` and `posX` with specific values, which are then passed to the `matho` or `condo` function in each test case.

**Individual Test Cases**

There are four test cases:

1. `math`: Evaluates the expression `condo(50, 100)`.
2. `cond`: Evaluates the expression `matho(50, 100)`.
3. `math 2`: Evaluates the expression `matho(200, 100)`.
4. `cond 2`: Evaluates the expression `condo(200, 100)`.

**Tested Options**

The benchmark tests four different options for each function:

* `condo`:
	+ Returns `0` when `posX < 0`
	+ Returns `sliderWidth` when `posX > sliderWidth`
	+ Returns `posX` otherwise
* `matho`:
	+ Returns the minimum of `Math.max(0, posX)` and `sliderWidth`

**Pros and Cons**

The choice between these options depends on the specific use case:

* For `condo`, returning `0` when `posX < 0` can be useful to avoid negative values. However, it may introduce extra overhead due to unnecessary function calls.
* For `matho`, using `Math.max(0, posX)` ensures that `posX` is non-negative, which might be desirable in some scenarios.

**Library and Special Features**

There is no explicit library used in this benchmark. However, it does utilize the built-in JavaScript `Math.min()` function to calculate the minimum of two values in `matho`.

No special features or syntax are being tested in this benchmark.

**Alternatives**

If you wanted to modify or extend this benchmark, you could consider adding additional test cases that explore different edge cases or scenarios. Some potential alternatives include:

* Introducing a third function, say `other`, with its own set of rules for returning values based on `posX` and `sliderWidth`.
* Using different input values or ranges for `posX` and `sliderWidth`.
* Adding additional variables or parameters to the functions.
* Using alternative mathematical libraries or functions (e.g., `Math.abs()` instead of `Math.max(0, posX)`).

Keep in mind that the purpose of this benchmark is to compare the performance of different options within a specific function, rather than to explore entirely new scenarios.

Related benchmarks:

math with cond (version: 0)

Comparing performance of: math vs cond vs math 2 vs cond 2

Created: 8 years ago by: Registered User

Jump to the latest result

math

cond

math 2

cond 2

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):