Benchmark: Decimales para sat

Script Preparation code:

var someFloat = 926.896;

Tests:

fixed
someFloat.toFixed(2);
precision
someFloat.toPrecision(2).toString();
math round
(Math.round(someFloat*10000)/10000).toString();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
fixed
precision
math round

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and explore the provided benchmark.

**Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The goal is to measure the performance of different approaches for a specific task, in this case, formatting a decimal number.

**Benchmark Definition**

The first piece of information is the Benchmark Definition JSON:
```json
{
    "Name": "Decimales para sat",
    "Description": "926.896",
    "Script Preparation Code": "var someFloat = 926.896;",
    "Html Preparation Code": null
}
```
This defines a benchmark with the following properties:

* `Name` and `Description`: Provide context for the benchmark.
* `Script Preparation Code`: Sets up a variable `someFloat` with the decimal value `926.896`.
* `Html Preparation Code`: Not used in this benchmark.

**Individual Test Cases**

The next section defines three individual test cases:
```json
[
    {
        "Benchmark Definition": "someFloat.toFixed(2);",
        "Test Name": "fixed"
    },
    {
        "Benchmark Definition": "someFloat.toPrecision(2).toString();",
        "Test Name": "precision"
    },
    {
        "Benchmark Definition": "(Math.round(someFloat*10000)/10000).toString();",
        "Test Name": "math round"
    }
]
```
Each test case is defined by a `Benchmark Definition` and a corresponding `Test Name`. These definitions represent the following approaches:

1. **Fixed**: Uses the `toFixed(2)` method to format the decimal number with two digits after the point.
2. **Precision**: Uses the `toPrecision(2).toString()` method to format the decimal number with two significant figures.
3. **Math Round**: Uses a mathematical approximation by multiplying the decimal value by 10,000, rounding to the nearest integer, and then dividing by 10,000.

**Library Used**

The `toPrecision()` method is used in the `precision` test case. This method is part of the JavaScript API for working with numbers and strings. Its purpose is to convert a number to a string representation with a specified precision (number of significant figures).

**Special JS Feature/Syntax**

None.

**Options Compared**

The three test cases compare different approaches to formatting decimal numbers:

* **Fixed**: Uses a fixed-point notation.
* **Precision**: Uses a scientific notation with two significant figures.
* **Math Round**: Uses an approximate mathematical approach.

**Pros and Cons of Each Approach**

1. **Fixed**:
	* Pros: Simple, widely supported, and easy to understand.
	* Cons: May not be suitable for all use cases (e.g., financial calculations).
2. **Precision**:
	* Pros: More accurate than `toFixed` for certain applications.
	* Cons: May not be as intuitive or easily understood as `toFixed`.
3. **Math Round**:
	* Pros: Can provide a reasonable approximation in some cases.
	* Cons: Not suitable for precise calculations and may lead to errors.

**Other Alternatives**

If you need more control over the formatting process, you can consider using other methods like:

* Using a library like `moment.js` or `date-fns` for date and time formatting.
* Implementing your own formatting algorithm using mathematical functions (e.g., exponentiation, logarithms).

Keep in mind that the choice of method depends on the specific requirements of your project and the trade-offs you're willing to make between performance, accuracy, and ease of use.

Related benchmarks:

Decimales para sat (version: 0)

926.896

Comparing performance of: fixed vs precision vs math round

Created: 3 years ago by: Guest

Jump to the latest result

fixed

precision

math round

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):