teldufalsari/kmath
2
0
Fork 0
forked from kscience/kmath
Code Pull Requests 1 Activity

Simplify test

Browse Source
This commit is contained in:
Alexander Nozik 2021-04-10 17:15:15 +03:00
parent 4abd0bdb6f
commit 000c79d42f
1 changed files with 2 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/CommonsDistributionsTest.kt
View File

@ -1,24 +1,21 @@
package space.kscience.kmath.stat package space.kscience.kmath.stat
import kotlinx.coroutines.flow.take
import kotlinx.coroutines.flow.toList
import kotlinx.coroutines.runBlocking import kotlinx.coroutines.runBlocking
import org.junit.jupiter.api.Assertions import org.junit.jupiter.api.Assertions
import org.junit.jupiter.api.Test import org.junit.jupiter.api.Test
import space.kscience.kmath.samplers.GaussianSampler import space.kscience.kmath.samplers.GaussianSampler
import space.kscience.kmath.structures.asBuffer
internal class CommonsDistributionsTest { internal class CommonsDistributionsTest {
@Test @Test
fun testNormalDistributionSuspend() = runBlocking { fun testNormalDistributionSuspend() = runBlocking {
val distribution = GaussianSampler(7.0, 2.0) val distribution = GaussianSampler(7.0, 2.0)
val generator = RandomGenerator.default(1) val generator = RandomGenerator.default(1)
val sample = distribution.sample(generator).take(1000).toList().toDoubleArray().asBuffer() val sample = distribution.sample(generator).nextBuffer(1000)
Assertions.assertEquals(7.0, Mean.double(sample), 0.2) Assertions.assertEquals(7.0, Mean.double(sample), 0.2)
} }
@Test @Test
fun testNormalDistributionBlocking() { fun testNormalDistributionBlocking() {
val distribution = GaussianSampler(7.0, 2.0) val distribution = GaussianSampler(7.0, 2.0)
val generator = RandomGenerator.default(1) val generator = RandomGenerator.default(1)
val sample = distribution.sample(generator).nextBufferBlocking(1000) val sample = distribution.sample(generator).nextBufferBlocking(1000)