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map n times 1 operation VS map 1 times n operation
(version: 0)
Comparing performance of:
map n times 1 operation vs map 1 times n operation
Created:
7 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var data = [ [ 1543051779766, 1432873 ], [ 1543052679766, 1924745 ], [ 1543053579766, 1641479 ], [ 1543054479766, 1610553 ], [ 1543055379766, 1726429 ], [ 1543056279766, 1910299 ], [ 1543057179766, 1645642 ], [ 1543058079766, 1539487 ], [ 1543058979766, 1844100 ], [ 1543059879766, 1263972 ], [ 1543060779766, 1737854 ], [ 1543061679766, 1895516 ], [ 1543062579766, 1667175 ], [ 1543063479766, 1893850 ], [ 1543064379766, 1758146 ], [ 1543065279766, 1792719 ], [ 1543066179766, 1636484 ], [ 1543067079766, 1446814 ], [ 1543067979766, 1613275 ], [ 1543068879766, 1524734 ], [ 1543069779766, 1442800 ], [ 1543070679766, 1752070 ], [ 1543071579766, 1555084 ], [ 1543072479766, 1616555 ], [ 1543073379766, 1319436 ], [ 1543074279766, 1789303 ], [ 1543075179766, 1931167 ], [ 1543076079766, 1623234 ], [ 1543076979766, 1567075 ], [ 1543077879766, 1656381 ], [ 1543078779766, 1736039 ], [ 1543079679766, 1878358 ], [ 1543080579766, 1832908 ], [ 1543081479766, 1770384 ], [ 1543082379766, 1366020 ], [ 1543083279766, 1393866 ], [ 1543084179766, 1632325 ], [ 1543085079766, 1708707 ], [ 1543085979766, 1612052 ], [ 1543086879766, 1477041 ], [ 1543087779766, 1712514 ], [ 1543088679766, 1790025 ], [ 1543089579766, 1418455 ], [ 1543090479766, 1834462 ], [ 1543091379766, 1608403 ], [ 1543092279766, 1709655 ], [ 1543093179766, 1685694 ], [ 1543094079766, 1944572 ], [ 1543094979766, 1466938 ], [ 1543095879766, 1755358 ], [ 1543096779766, 1493469 ], [ 1543097679766, 2067325 ], [ 1543098579766, 1726144 ], [ 1543099479766, 1440271 ], [ 1543100379766, 1812013 ], [ 1543101279766, 1603879 ], [ 1543102179766, 1631134 ], [ 1543103079766, 1639913 ], [ 1543103979766, 1740241 ], [ 1543104879766, 1826558 ], [ 1543105779766, 1719197 ], [ 1543106679766, 1772001 ], [ 1543107579766, 1605461 ], [ 1543108479766, 1931728 ], [ 1543109379766, 1721001 ], [ 1543110279766, 1913632 ], [ 1543111179766, 1714808 ], [ 1543112079766, 1675663 ], [ 1543112979766, 1539744 ], [ 1543113879766, 1529922 ], [ 1543114779766, 1925412 ], [ 1543115679766, 1813325 ], [ 1543116579766, 1549220 ], [ 1543117479766, 1557377 ], [ 1543118379766, 1770944 ], [ 1543119279766, 1660312 ], [ 1543120179766, 1667373 ], [ 1543121079766, 1754519 ], [ 1543121979766, 1565387 ], [ 1543122879766, 1679959 ], [ 1543123779766, 1857336 ], [ 1543124679766, 1973591 ], [ 1543125579766, 1769876 ], [ 1543126479766, 1649456 ], [ 1543127379766, 1683571 ], [ 1543128279766, 1994750 ], [ 1543129179766, 1585811 ], [ 1543130079766, 1747199 ], [ 1543130979766, 1795274 ], [ 1543131879766, 1790457 ], [ 1543132779766, 1677021 ], [ 1543133679766, 1697821 ], [ 1543134579766, 1568399 ], [ 1543135479766, 1890993 ], [ 1543136379766, 1518151 ], [ 1543137279766, 1637942 ] ]
Tests:
map n times 1 operation
data.forEach(row => { console.log(row[1]) }) data.forEach(row => { console.log(row[0]) })
map 1 times n operation
data.forEach(row => { console.log(row[0]) console.log(row[1]) })
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
map n times 1 operation
map 1 times n operation
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
It appears that we have a large JSON object representing some sort of benchmarking data, but I don't see any specific question or prompt asking me to perform an action on this data. However, if you'd like, I can help you parse the JSON object and extract relevant information from it. Alternatively, I can try to infer what might be the purpose of this data and provide a hypothetical answer based on that assumption. Could you please provide more context or clarify what you would like me to do with this data?
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Comments
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