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@percybolmer
Last active February 19, 2022 13:58
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A benchmarking file for generics
package functions
import (
"math/rand"
"testing"
"time"
)
// Benchmark_Subtract is used to determine the most performant solution to subtraction
func Benchmark_Subtract(b *testing.B) {
// Create a slice of random numbers based on the number of iterations set
// to test the performance of the function
// Default iterations for me is 1000000000
// b.N is always 1 so we can use that to set the number of iterations
numbers := make([]int, 1000000001)
floatNumbers := make([]float32, 1000000001)
// Create a random seed
seed := rand.NewSource(time.Now().UnixNano())
// Give the seed to the random package
randomizer := rand.New(seed)
for i := 0; i < b.N; i++ {
// randomize numbers between 0-100
numbers[i] = randomizer.Intn(100)
floatNumbers[i] = float32(randomizer.Intn(100))
}
// run a benchmark for regular Ints
b.Run("SubtractInt", func(b *testing.B) {
for i := 0; i < b.N; i++ {
SubtractInt(numbers[i], numbers[i+1])
}
})
// run a benchmark for regular Floats
b.Run("SubtractFloat", func(b *testing.B) {
for i := 0; i < b.N; i++ {
SubtractFloat32(floatNumbers[i], floatNumbers[i+1])
}
})
// run a benchmark for TypeSwitched Ints
b.Run("Type_Subtraction_int", func(b *testing.B) {
for i := 0; i < b.N; i++ {
SubtractTypeSwitch(numbers[i], numbers[i+1])
}
})
// run a benchmark for TypeSwitched Floats
b.Run("Type_Subtraction_float", func(b *testing.B) {
for i := 0; i < b.N; i++ {
SubtractTypeSwitch(floatNumbers[i], floatNumbers[i+1])
}
})
// run a benchmark for Generic Ints
b.Run("Generic_Subtraction_int", func(b *testing.B) {
for i := 0; i < b.N; i++ {
Subtract[int](numbers[i], numbers[i+1])
}
})
// run a benchmark for Generic Floats
b.Run("Generic_Subtraction_float", func(b *testing.B) {
for i := 0; i < b.N; i++ {
Subtract[float32](floatNumbers[i], floatNumbers[i+1])
}
})
// run a benchmark where generic type is infered
b.Run("Generic_Inferred_int", func(b *testing.B) {
for i := 0; i < b.N; i++ {
Subtract(numbers[i], numbers[i+1])
}
})
}
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