Math.round(13.37)
Math.round(13.67)
Math.floor(13.37 + 0.5)
Math.floor(13.67 + 0.5)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
round | |
floor |
Test name | Executions per second |
---|---|
round | 2935041.2 Ops/sec |
floor | 2804786.8 Ops/sec |
Let's break down the provided JSON and explain what is being tested in the benchmark.
What is being tested?
The provided JSON represents a JavaScript microbenchmark that compares two approaches for rounding numbers:
Math.round(13.37)\r\nMath.round(13.67)
Math.floor(13.37 + 0.5)\r\nMath.floor(13.67 + 0.5)
The benchmark is testing the performance of these two approaches on the web browser, specifically Chrome 90.
Options compared
Two options are being compared:
Math.round()
: This function rounds a number to the nearest integer.Math.floor() + 0.5
: This approach uses Math.floor()
to round down to the nearest integer and then adds 0.5, effectively rounding up.Pros and Cons of each approach
Math.round()
:-0.5
).Math.floor() + 0.5
:In general, Math.round()
is a good choice when you want simple, fast rounding, but be cautious with inputs that might produce NaN results. The Math.floor() + 0.5
approach provides more control and predictability but comes at the cost of slightly slower performance.
Library usage
There doesn't seem to be any specific library being used in these benchmarks, as both examples rely on built-in JavaScript functions (Math.round()
and Math.floor()
).
Special JS feature or syntax
The benchmark uses a special syntax, \r\n
, which is an escape sequence for the newline character. This might not be immediately apparent to all users, but it's not a critical issue.
Other alternatives
If you were considering alternative approaches, here are a few options:
((a + 0.5) > 0 ? a + 0.5 : a)
syntax, which is similar to Math.floor() + 0.5
. However, this approach might not be compatible with all JavaScript environments.lodash.round()
or moment.js
's roundTo()
. These libraries might offer additional features or optimizations, but they would add dependencies to your project.Keep in mind that these alternatives might not always be suitable for performance-critical code, and it's essential to evaluate their trade-offs before choosing an alternative approach.