Benchmark: Math.abs speed vs multiply full example

Script Preparation code:

var value = -0.07
var step = 0.01
var min = -5

function validateStepWithAbs(value, step, min = 0) {
    if (value == null) return false

    var absValue = Math.abs(value)
    var absStep = Math.abs(step)
    var absMin = Math.abs(min)

    while (
        (absValue > 0 && absValue < 1) ||
        (absStep > 0 && absStep < 1) ||
        (absMin > 0 && absMin < 1)
    ) {
        value *= 10
        step *= 10
        min *= 10

        absValue = Math.abs(value)
        absStep = Math.abs(step)
        absMin = Math.abs(min)
    }

    return (value - min) % step === 0
}

function validateStepWithMultiply(value, step, min = 0) {
    if (value == null) return false

    while (
        (value !== 0 && value * value < 1) ||
        (step !== 0 && step * step < 1) ||
        (min !== 0 && min * min < 1)
    ) {
        value *= 10
        step *= 10
        min *= 10
    }

    return (value - min) % step === 0
}

Tests:

Math.abs(x)
validateStepWithAbs(value, step, min)
compare x*x
validateStepWithMultiply(value, step, min)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.abs(x)
compare x*x

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one month ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
Math.abs(x)	618421.1 Ops/sec
compare x*x	2589653.2 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll explain the provided benchmark and its options.

**Benchmark Overview**

The benchmark is designed to compare the performance of two different approaches for validating a mathematical expression: `validateStepWithAbs` (using absolute values) and `validateStepWithMultiply` (using multiplication).

**Benchmark Definition JSON**

The benchmark definition contains two scripts:

1. `validateStepWithAbs(value, step, min)`:
	* This function takes three arguments: `value`, `step`, and `min`.
	* It uses a while loop to repeatedly multiply `value`, `step`, and `min` by 10 until the conditions `(absValue > 0 && absValue < 1) || (absStep > 0 && absStep < 1) || (absMin > 0 && absMin < 1)` are met.
	* If the loop exits, it returns whether `(value - min) % step === 0` is true or false.
2. `validateStepWithMultiply(value, step, min)`:
	* This function takes three arguments: `value`, `step`, and `min`.
	* It uses a while loop to repeatedly multiply `value`, `step`, and `min` by 10 until the conditions `(value !== 0 && value * value < 1) || (step !== 0 && step * step < 1) || (min !== 0 && min * min < 1)` are met.
	* If the loop exits, it returns whether `(value - min) % step === 0` is true or false.

**Individual Test Cases**

The benchmark includes two test cases:

1. `Math.abs(x)`:
	* This test case runs the `validateStepWithAbs(value, step, min)` function with different values for `value`, `step`, and `min`.
2. `compare x*x`:
	* This test case runs the `validateStepWithMultiply(value, step, min)` function with different values for `value`, `step`, and `min`.

**Pros and Cons of Each Approach**

1. `validateStepWithAbs`:
	+ Pros:
		- More straightforward to implement.
		- Uses built-in absolute value functions (`Math.abs()`).
	* Cons:
		- May be slower due to the repeated use of `Math.abs()`.
2. `validateStepWithMultiply`:
	+ Pros:
		- Can be faster since it avoids the repeated use of `Math.abs()`.
		- More efficient for large values.
	* Cons:
		- Requires manual implementation of absolute value-like behavior.

**Library and Special JS Features**

1. `Math.abs()`:
	* This is a built-in JavaScript function that returns the absolute value of a number.
2. No special JS features are mentioned in the benchmark definition or test cases.

**Other Alternatives**

If the developer wants to explore alternative approaches, they could consider:

1. Using a different algorithm for validating the mathematical expression.
2. Optimizing the code using techniques like caching, memoization, or parallel processing.
3. Comparing performance with different JavaScript engines or browsers.
4. Adding more test cases to cover additional scenarios.

Keep in mind that the choice of approach depends on the specific requirements and constraints of the project.

Related benchmarks:

Math.abs speed vs multiply full example (version: 0)

Comparing performance of: Math.abs(x) vs compare x*x

Created: one year ago by: Guest

Jump to the latest result

Math.abs(x)

compare x*x

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):