diff --git a/kmath-stat/src/commonTest/kotlin/space/kscience/kmath/samplers/TestMetropolisHastingsSampler.kt b/kmath-stat/src/commonTest/kotlin/space/kscience/kmath/samplers/TestMetropolisHastingsSampler.kt
index b03b0c4c1..3011687ef 100644
--- a/kmath-stat/src/commonTest/kotlin/space/kscience/kmath/samplers/TestMetropolisHastingsSampler.kt
+++ b/kmath-stat/src/commonTest/kotlin/space/kscience/kmath/samplers/TestMetropolisHastingsSampler.kt
@@ -24,8 +24,8 @@ class TestMetropolisHastingsSampler {
 
     data class TestSetup(val mean: Double, val startPoint: Double, val sigma: Double = 0.5)
 
-    val sample = 1e6.toInt()
-    val burnIn = sample / 5
+    private val sample = 1e6.toInt()
+    private val burnIn = sample / 5
 
     @Test
     fun samplingNormalTest() = runTest {
@@ -66,6 +66,7 @@ class TestMetropolisHastingsSampler {
     @Test
     fun samplingRayleighTest() = runTest {
         val generator = RandomGenerator.default(1)
+
         fun rayleighDist(sigma: Double, arg: Double): Double = if (arg < 0.0) {
             0.0
         } else {
@@ -83,17 +84,5 @@ class TestMetropolisHastingsSampler {
 
             assertEquals(setup.mean * sqrt(PI / 2), Float64Field.mean(sampledValues), 1e-2)
         }
-//
-//        fun rayleighDist1(arg: Double) = rayleighDist(arg, 1.0)
-//        var sampler = MetropolisHastingsSampler(::rayleighDist1, initialPoint = 2.0, proposalStd = 1.0)
-//        var sampledValues = sampler.sample(DefaultGenerator()).nextBufferBlocking(1_000_000)
-//
-//        assertEquals(1.25, Float64Field.mean(sampledValues), 1e-2)
-//
-//        fun rayleighDist2(arg: Double) = rayleighDist(arg, 2.0)
-//        sampler = MetropolisHastingsSampler(::rayleighDist2, proposalStd = 1.0)
-//        sampledValues = sampler.sample(DefaultGenerator()).nextBufferBlocking(10_000_000)
-//
-//        assertEquals(2.5, Float64Field.mean(sampledValues), 1e-2)
     }
 }
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