let floor = Math.floor(Math.random().toString());
let parse = parseInt(Math.random().toString());
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Math.floor | |
parseInt |
Test name | Executions per second |
---|---|
Math.floor | 11600859.0 Ops/sec |
parseInt | 13189563.0 Ops/sec |
This benchmark compares two different methods for converting a random number represented as a string into an integer: Math.floor
and parseInt
.
Math.floor:
let floor = Math.floor(Math.random().toString());
Math.floor
rounds down a number to the nearest integer. In this context, it is being applied to a random number converted to a string (via Math.random().toString()
). This conversion, however, is somewhat unconventional because Math.random()
returns a floating-point number between 0 (inclusive) and 1 (exclusive), and converting it to a string before applying Math.floor
doesn't have a practical benefit in converting it back to a number.parseInt:
let parse = parseInt(Math.random().toString());
parseInt
parses a string argument and returns an integer of the specified radix (the base in mathematical numeral systems). The method will parse the random string until it hits a character that is not valid in the specified radix. This method may process the same random string but effectively stops parsing when it encounters the first non-numeric character following the numeric value.Math.floor:
parseInt:
parseInt
will return NaN
, which may require additional error handling depending on the input scenarios.In the latest results provided, parseInt
executes at approximately 13,189,563 executions per second, while Math.floor
executes at about 11,600,859 executions per second. Thus, parseInt
is faster in this particular benchmark on the tested platform.
Alternatives:
Number
constructor (let num = Number(Math.random().toString());
). This can provide more predictable behavior than parseInt
when converting strings to numbers, as it will yield NaN
if the string cannot be converted.let num = Math.random() | 0;
) can also yield integer values without the need for explicit methods but may only be useful for non-negative numbers due to its behavior with regards to negative values.Final Thoughts: Both methods under evaluation have distinct purposes, and their use cases depend on the desired inputs and expected behavior. It is important for developers to consider not just performance but also correctness and readability when choosing which to implement in their codebases.