Benchmark: Set.has vs Array.includes (dependent on n)

Set.has vs Array.includes (dependent on n) (version: 0)

Comparing performance of: includes (n = 1) vs has (n = 1) vs includes (n = 10) vs has (n = 10) vs includes (n = 100) vs has (n = 100) vs includes (n = 1000) vs has (n = 1000) vs includes (n = 10000) vs has (n = 10000) vs includes (n = 100000) vs has (n = 100000) vs includes (n = 1000000) vs has (n = 1000000) vs includes (n = 10000000) vs has (n = 10000000)

Created: 4 years ago by: Guest

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Script Preparation code:

const nValues = [1, 10, 100, 1000, 10000, 100000, 1000000, 10000000]
var dataSets = Object.fromEntries(nValues.map(n => {
	const array = new Array(n).fill(0)
	array[n-1] = 1
	return [n, {array, set: new Set(array)}]
}))

Tests:

includes (n = 1)
dataSets['1'].array.includes(1)
has (n = 1)
dataSets['1'].set.has(1)
includes (n = 10)
dataSets['10'].array.includes(1)
has (n = 10)
dataSets['10'].set.has(1)
includes (n = 100)
dataSets['100'].array.includes(1)
has (n = 100)
dataSets['100'].set.has(1)
includes (n = 1000)
dataSets['1000'].array.includes(1)
has (n = 1000)
dataSets['1000'].set.has(1)
includes (n = 10000)
dataSets['10000'].array.includes(1)
has (n = 10000)
dataSets['10000'].set.has(1)
includes (n = 100000)
dataSets['100000'].array.includes(1)
has (n = 100000)
dataSets['100000'].set.has(1)
includes (n = 1000000)
dataSets['1000000'].array.includes(1)
has (n = 1000000)
dataSets['1000000'].set.has(1)
includes (n = 10000000)
dataSets['10000000'].array.includes(1)
has (n = 10000000)
dataSets['10000000'].set.has(1)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
includes (n = 1)
has (n = 1)
includes (n = 10)
has (n = 10)
includes (n = 100)
has (n = 100)
includes (n = 1000)
has (n = 1000)
includes (n = 10000)
has (n = 10000)
includes (n = 100000)
has (n = 100000)
includes (n = 1000000)
has (n = 1000000)
includes (n = 10000000)
has (n = 10000000)

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

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