Benchmark: Round Numbers to 2 digits

Script Preparation code:

var number = 12324242/432432432;
var result;

function round(value, decimals) {
    value = value * Math.pow(10, decimals);
    value = Math.round(value);
    value = value / Math.pow(10, decimals);
    return value;
}

Tests:

toFixed
result = +(number.toFixed(2));
Math.round
result = Math.round((100 - (number) * 100) * 100) / 100;
Round function with correction
result = round(number, 2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
toFixed
Math.round
Round function with correction

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its components.

**Benchmark Definition**

The benchmark is designed to test how different approaches round numbers to 2 decimal places. The script preparation code defines a custom `round` function that takes two arguments: `value` and `decimals`. This function multiplies the value by 10 raised to the power of decimals, rounds the result using `Math.round`, and then divides it back by 10 raised to the power of decimals.

**Options Compared**

The benchmark compares three options:

1. **`toFixed`**: A built-in JavaScript method that rounds a number to a specified number of decimal places.
2. **`round` function with correction**: The custom `round` function defined in the script preparation code.
3. **`Math.round`**: A built-in JavaScript method that rounds a number to the nearest integer.

**Pros and Cons**

* **`toFixed`**:
	+ Pros: Simple, widely supported, and efficient.
	+ Cons: May not be suitable for all use cases (e.g., when dealing with large numbers or financial calculations).
* **`round` function with correction**: 
	+ Pros: Allows for more control over the rounding process, can handle large numbers.
	+ Cons: Requires defining a custom function and may have performance overhead.
* **`Math.round`**:
	+ Pros: Fast, widely supported, and suitable for most use cases.
	+ Cons: May not produce the desired result when dealing with non-integer values.

**Library Usage**

There is no explicit library usage in the benchmark definition or test cases. However, `Math.pow` and `Math.round` are built-in JavaScript methods, which suggests that the benchmark focuses on native JavaScript functionality rather than external libraries.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark. The code is straightforward and does not employ any advanced techniques like async/await, promises, or modern ECMAScript features.

**Other Alternatives**

If you were to design an alternative benchmark for rounding numbers, you could consider the following approaches:

1. Use a different library, such as `decimal.js`, which provides support for precise arithmetic.
2. Test using a programming language like Python or Java, which may offer more efficient and accurate rounding implementations.
3. Explore other rounding algorithms, such as the "banker's round" or "round-half-to-even" methods.

Keep in mind that these alternatives might not be directly comparable to the provided benchmark, and new test cases would need to be designed to accommodate the chosen approach.

Latest run results:

Run details: (Test run date: 3 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36

Browser/OS: Chrome 127 on Windows

View result in a separate tab

Test name	Executions per second
toFixed	2599227.0 Ops/sec
Math.round	3339644.8 Ops/sec
Round function with correction	1778186.2 Ops/sec

Related benchmarks:

Round Numbers to 2 digits (version: 0)

Comparing performance of: toFixed vs Math.round vs Round function with correction

Created: 6 years ago by: Guest

Jump to the latest result

toFixed

Math.round

Round function with correction

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):