Benchmark: flatmap vs reduce t2

HTML Preparation code:

<!--your preparation HTML code goes here-->

Script Preparation code:

/*your preparation JavaScript code goes here
To execute async code during the script preparation, wrap it as function globalMeasureThatScriptPrepareFunction, example:*/
let a = Array.from({
        length: 10000
    },
    (v, i) => ({
        name: i,
        station: Array.from({
                length: 20
            },
            (v2, i2) => i2)
    })
)

Tests:

flatmap
/*When writing async/deferred tests, use `deferred.resolve()` to mark test as done*/ a.flatMap((l) => l.station.map(s=>({line:l.name,station:s})))
reduce
a.reduce((acc, curr) => { for (const s of curr.station) { acc.push({ line: curr.name, staion: s }) } return acc; }, [])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
flatmap
reduce

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Windows

View result in a separate tab

Test name	Executions per second
flatmap	196.4 Ops/sec
reduce	211.3 Ops/sec

Related benchmarks:

flatmap vs reduce t2 (version: 1)

Comparing performance of: flatmap vs reduce

Created: one year ago by: Guest

Jump to the latest result

flatmap

reduce

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A