Benchmark: lose precision solution1

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/bignumber.js/9.0.1/bignumber.min.js"></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Tests:

bigNumber
new BigNumber(0.1 + 0.2).toNumber()
toFixed
parseFloat((0.1 + 0.2).toFixed(8))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
bigNumber
toFixed

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 24 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared options, pros and cons, and other considerations.

**Benchmark Overview**

The benchmark measures the performance of two JavaScript operations: converting a decimal number to an integer using `bigNumber` library and formatting a decimal number with a fixed precision using `parseFloat`. The goal is to determine which approach is faster on modern devices.

**Options Compared**

Two options are compared:

1. **bigNumber**: This method uses the `BigNumber` library, which provides arbitrary-precision arithmetic. It converts the decimal numbers to large integers and then performs the desired operation.
2. **parseFloat with toFixed**: This method formats the decimal number using `parseFloat` followed by calling `toFixed(8)`, which rounds the number to 8 decimal places.

**Pros and Cons**

1. **bigNumber**
	* Pros:
		+ Provides arbitrary-precision arithmetic, making it suitable for large numbers.
		+ Can handle very large or very small numbers without overflowing.
	* Cons:
		+ May be slower due to the overhead of working with large integers.
		+ Requires additional dependencies (the `BigNumber` library).
2. **parseFloat with toFixed**
	* Pros:
		+ Typically faster than working with large integers.
		+ Does not require additional dependencies.

**Considerations**

1. **Precision**: The benchmark focuses on the performance of these specific operations, assuming that precision is not a concern for the use case.
2. **Library Overhead**: Using the `BigNumber` library introduces additional overhead due to its complexity and dependency on additional resources.

**Test Case Libraries and Features**

The benchmark uses two libraries:

1. **BigNumber.js**: A JavaScript library for working with arbitrary-precision numbers. It provides a convenient API for performing arithmetic operations on large integers.
2. **Lodash.js**: A utility library that provides a `toFixed` function for formatting numbers.

**Other Alternatives**

If you're looking for alternatives to the `bigNumber` and `parseFloat with toFixed` approaches, consider:

1. Using built-in JavaScript functions like `Math.floor()` or `Math.round()`, which are typically faster but may not provide arbitrary-precision arithmetic.
2. Implementing custom decimal arithmetic using bitwise operations or other low-level techniques, which can be more efficient but also more complex and error-prone.

In summary, the benchmark compares two approaches for performing decimal arithmetic: using the `bigNumber` library for arbitrary-precision arithmetic and formatting with `parseFloat`. The choice between these options depends on the specific requirements of your use case, such as precision needs and performance constraints.

Latest run results:

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

User agent: Mozilla/5.0 (Android 13; Mobile; rv:109.0) Gecko/116.0 Firefox/116.0

Browser/OS: Firefox Mobile 116 on Android

View result in a separate tab

Test name	Executions per second
bigNumber	423822.1 Ops/sec
toFixed	5048126.5 Ops/sec

Related benchmarks:

lose precision solution1 (version: 0)

Comparing performance of: bigNumber vs toFixed

Created: one year ago by: Registered User

Jump to the latest result

bigNumber

toFixed

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 24 days ago):