<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
var x = 5.236;
for (var i = 0; i < 1000; i++) {
_.round(x,2);
}
for (var i = 0; i < 1000; i++) {
parseInt(x.toFixed(2));
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Round floating number using lodash round function | |
Round floating number using toFixed() |
Test name | Executions per second |
---|---|
Round floating number using lodash round function | 1750.1 Ops/sec |
Round floating number using toFixed() | 3150.1 Ops/sec |
Let's break down the provided benchmark and explain what is being tested, compared, and the pros and cons of each approach.
What is being tested?
The test case compares two approaches to rounding a floating-point number:
_.round()
function from the Lodash library.toFixed()
method in JavaScript.Comparison options:
_
(underscore) utility function from Lodash, which rounds a value to a given precision.toFixed()
: This option uses the built-in toFixed()
method to round a number to a specified number of decimal places.Pros and Cons:
toFixed()
:Library: Lodash
Lodash is a popular utility library for JavaScript that provides a collection of helper functions, including _.round(). The purpose of this library is to provide a convenient way to perform common tasks, such as rounding numbers, without having to write custom code. In this benchmark, Lodash is used to implement the _.round() function.
Special JS feature or syntax:
There are no special JavaScript features or syntaxes being tested in this benchmark. The comparison focuses solely on the two approaches to rounding floating-point numbers.
Other alternatives:
If you're interested in exploring other alternatives for rounding numbers, here are a few options:
Overall, this benchmark provides a simple and informative comparison of two approaches to rounding floating-point numbers. While Lodash's _.round() function offers flexibility and convenience, the native toFixed()
method may be a better choice when performance is critical or you prefer a lightweight solution.