Benchmark: Reduce vs loop321321

HTML Preparation code:

<script src="https://raw.githubusercontent.com/lodash/lodash/4.17.15-npm/core.js"></script>

Tests:

WIth loop321321
var mapping = { 'apple': 5, 'orange': 10 }; var fruits = ['apple', 'orange']; const keys = Object.keys(mapping); const rows = fruits.map((row) => { const transformed = {}; for (const key of keys) { transformed[key] = mapping[key]; } return transformed; }); console.log(rows);
With reduce23132
var mapping = { 'apple': 5, 'orange': 10 }; var fruits = ['apple', 'orange']; var keys = Object.keys(mapping); var rows = fruits.map((row) => { const transformed = {}; for (var key of keys) { transformed[key] = mapping[key]; } return transformed; }); var rows = fruits.map((row) => Object.entries(mapping).reduce((acc, [key, transform]) => { acc[key] = transform; return acc; }, {}), ); console.log(rows);

Rendered benchmark preparation results:

Previous results

Test case name	Result
WIth loop321321
With reduce23132

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Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36

Browser/OS: Chrome 95 on Mac OS X 10.15.7

Test name	Executions per second
WIth loop321321	67084.8 Ops/sec
With reduce23132	66127.5 Ops/sec

Reduce vs loop321321 (version: 0)