Remove unused Samplers

utils/sampler/uniform_benchmark_test.go

@@ -8,29 +8,24 @@ import (
 	"testing"
 )
 
-// BenchmarkAllUniform
-func BenchmarkAllUniform(b *testing.B) {
+func BenchmarkUniform(b *testing.B) {
 	sizes := []uint64{
 		30,
 		35,
 		500,
 		10000,
 		100000,
 	}
-	for _, s := range uniformSamplers {
-		for _, size := range sizes {
-			b.Run(fmt.Sprintf("sampler %s with %d elements uniformly", s.name, size), func(b *testing.B) {
-				UniformBenchmark(b, s.sampler, size, 30)
-			})
-		}
-	}
-}
+	for _, size := range sizes {
+		b.Run(fmt.Sprintf("%d elements uniformly", size), func(b *testing.B) {
+			s := NewUniform()
 
-func UniformBenchmark(b *testing.B, s Uniform, size uint64, toSample int) {
-	s.Initialize(size)
+			s.Initialize(size)
 
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		_, _ = s.Sample(toSample)
+			b.ResetTimer()
+			for i := 0; i < b.N; i++ {
+				_, _ = s.Sample(30)
+			}
+		})
 	}
 }

utils/sampler/uniform_test.go

@@ -4,82 +4,15 @@
 package sampler
 
 import (
-	"fmt"
 	"math"
 	"slices"
 	"testing"
 
 	"github.com/stretchr/testify/require"
 )
 
-var (
-	uniformSamplers = []struct {
-		name    string
-		sampler Uniform
-	}{
-		{
-			name: "replacer",
-			sampler: &uniformReplacer{
-				rng: globalRNG,
-			},
-		},
-		{
-			name: "resampler",
-			sampler: &uniformResample{
-				rng: globalRNG,
-			},
-		},
-		{
-			name:    "best",
-			sampler: NewBestUniform(30),
-		},
-	}
-	uniformTests = []struct {
-		name string
-		test func(*testing.T, Uniform)
-	}{
-		{
-			name: "can sample large values",
-			test: UniformInitializeMaxUint64Test,
-		},
-		{
-			name: "out of range",
-			test: UniformOutOfRangeTest,
-		},
-		{
-			name: "empty",
-			test: UniformEmptyTest,
-		},
-		{
-			name: "singleton",
-			test: UniformSingletonTest,
-		},
-		{
-			name: "distribution",
-			test: UniformDistributionTest,
-		},
-		{
-			name: "over sample",
-			test: UniformOverSampleTest,
-		},
-		{
-			name: "lazily sample",
-			test: UniformLazilySample,
-		},
-	}
-)
-
-func TestAllUniform(t *testing.T) {
-	for _, s := range uniformSamplers {
-		for _, test := range uniformTests {
-			t.Run(fmt.Sprintf("sampler %s test %s", s.name, test.name), func(t *testing.T) {
-				test.test(t, s.sampler)
-			})
-		}
-	}
-}
-
-func UniformInitializeMaxUint64Test(t *testing.T, s Uniform) {
+func TestUniformInitializeMaxUint64(t *testing.T) {
+	s := NewUniform()
 	s.Initialize(math.MaxUint64)
 
 	for {
@@ -92,15 +25,17 @@ func UniformInitializeMaxUint64Test(t *testing.T, s Uniform) {
 	}
 }
 
-func UniformOutOfRangeTest(t *testing.T, s Uniform) {
+func TestUniformOutOfRange(t *testing.T) {
+	s := NewUniform()
 	s.Initialize(0)
 
 	_, ok := s.Sample(1)
 	require.False(t, ok)
 }
 
-func UniformEmptyTest(t *testing.T, s Uniform) {
+func TestUniformEmpty(t *testing.T) {
 	require := require.New(t)
+	s := NewUniform()
 
 	s.Initialize(1)
 
@@ -109,8 +44,9 @@ func UniformEmptyTest(t *testing.T, s Uniform) {
 	require.Empty(val)
 }
 
-func UniformSingletonTest(t *testing.T, s Uniform) {
+func TestUniformSingleton(t *testing.T) {
 	require := require.New(t)
+	s := NewUniform()
 
 	s.Initialize(1)
 
@@ -119,8 +55,9 @@ func UniformSingletonTest(t *testing.T, s Uniform) {
 	require.Equal([]uint64{0}, val)
 }
 
-func UniformDistributionTest(t *testing.T, s Uniform) {
+func TestUniformDistribution(t *testing.T) {
 	require := require.New(t)
+	s := NewUniform()
 
 	s.Initialize(3)
 
@@ -131,15 +68,17 @@ func UniformDistributionTest(t *testing.T, s Uniform) {
 	require.Equal([]uint64{0, 1, 2}, val)
 }
 
-func UniformOverSampleTest(t *testing.T, s Uniform) {
+func TestUniformOverSample(t *testing.T) {
+	s := NewUniform()
 	s.Initialize(3)
 
 	_, ok := s.Sample(4)
 	require.False(t, ok)
 }
 
-func UniformLazilySample(t *testing.T, s Uniform) {
+func TestUniformLazilySample(t *testing.T) {
 	require := require.New(t)
+	s := NewUniform()
 
 	s.Initialize(3)
 

utils/sampler/weighted.go

@@ -10,20 +10,6 @@ type Weighted interface {
 	Sample(sampleValue uint64) (int, bool)
 }
 
-// NewWeighted returns a new sampler
 func NewWeighted() Weighted {
-	return &weightedBest{
-		samplers: []Weighted{
-			&weightedArray{},
-			&weightedHeap{},
-			&weightedUniform{
-				maxWeight: 1024,
-			},
-		},
-		benchmarkIterations: 100,
-	}
-}
-
-func NewDeterministicWeighted() Weighted {
 	return &weightedHeap{}
 }