var randomFloat = 0.123456789;
Number(randomFloat.toFixed(6));
Number(randomFloat.toPrecision(6));
Math.round(randomFloat*1000000 / 1000000)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
toFixed(6) | |
toPrecision(6) | |
Math.round() |
Test name | Executions per second |
---|---|
toFixed(6) | 757438.5 Ops/sec |
toPrecision(6) | 779271.7 Ops/sec |
Math.round() | 1887858.1 Ops/sec |
Let's break down the provided benchmark and explain what is being tested, compared, and their pros and cons.
Benchmark Overview
The provided benchmark compares three approaches to round a floating-point number:
toFixed(6)
: Rounds the number to 6 decimal places using the toFixed()
method.toPrecision(6)
: Converts the number to a fixed-point representation with 6 digits after the decimal point using the toPrecision()
method.Math.round(number*1000000 / 1000000)
: Rounds the number by multiplying it by 1,000,000, rounding the result, and then dividing by 1,000,000.Comparison
The benchmark is comparing the performance of these three approaches on a random floating-point number (randomFloat
). The ExecutionsPerSecond
value represents the average number of executions per second for each approach.
Pros and Cons of Each Approach:
toFixed()
for certain types of numbers (e.g., integers).toFixed()
.Library and Special JS Feature
In this benchmark, the Number
function is used to convert a string representation of a number to its numeric value. This function uses a library called ECMAScript Internationalization API (ECMA-419), which provides functions for formatting and parsing numbers in various ways, including rounding and precision control.
Other Considerations
ExecutionsPerSecond
value is likely affected by factors such as CPU clock speed, cache performance, and memory constraints.Alternatives
If you want to test similar benchmarks or compare other approaches, here are some alternatives:
toFixed()
, toPrecision()
, and template literals).Keep in mind that benchmarking JavaScript code can be complex due to factors like browser variations, caching, and platform-specific optimizations. Always run benchmarks multiple times with different inputs and settings to ensure reliable results.