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feat: add SampleBy and SamplesBy #516

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Why?

See #512

What?

Added a SampleBy and SamplesBy that accepts an intFunc that is the generator of the indexes. This way, a client of the lo library would be able to provide their own seeded random generator.

Example?

package main

import (
	"fmt"
	"math/rand"

	"github.com/samber/lo"
)

func Example() {
	r := rand.New(rand.NewSource(42))
	collection := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
	result := lo.SampleBy(collection, r.Intn)
	results := lo.SamplesBy(collection, len(collection), r.Intn)
	fmt.Printf("Sample: %v\n", result)
	fmt.Printf("Samples: %v\n", results)
}

func main() {
	Example()
}

@bramvandewalle bramvandewalle changed the title Add SampleBy and SamplesBy feat: Add SampleBy and SamplesBy Aug 15, 2024
@bramvandewalle bramvandewalle changed the title feat: Add SampleBy and SamplesBy feat: add SampleBy and SamplesBy Aug 15, 2024
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}

// SampleBy returns a random item from collection, using intFunc as the random index generator.
func SampleBy[T any](collection []T, intFunc func(int) int) T {
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Why this method doesn't call SamplesBy with count=1 and return the first entry?

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Also the original implementation of the Sample doesn't use Samples. I didn't want to change any implementation of existing functions. Also... not sure if there's that much of a benefit in doing so?

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But if you want me to update it... by all means and I change it!

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Let's wait for owner's feedback

cc @samber

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I posted this, but feel free to merge.

@bramvandewalle
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@ccoVeille I don't have the rights to merge this. Not sure if @samber first needs to approve it?

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3 participants