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How to use StatsMatchersTest class of com.sksamuel.kotest.matchers.stats package

Best Kotest code snippet using com.sksamuel.kotest.matchers.stats.StatsMatchersTest

StatsMatchersTest.kt

Source:StatsMatchersTest.kt

...8import io.kotest.matchers.stats.shouldNotHaveVariance9import io.kotest.core.spec.style.StringSpec10import io.kotest.data.row11import java.math.BigDecimal12class StatsMatchersTest : StringSpec() {13   init {14      "Mean should be ZERO if collection is empty" {15         emptyList<Int>().shouldHaveMean(BigDecimal("0"))16         emptyList<Int>().shouldHaveMean(BigDecimal(0))17         emptyList<Int>().shouldHaveMean(BigDecimal(0.0))18         emptyList<Int>().shouldHaveMean(0.0)19         emptyList<Int>().shouldHaveMean(0.000000)20         emptyList<Int>().shouldHaveMean(BigDecimal("0"), 5)21         emptyList<Int>().shouldHaveMean(BigDecimal(0), 4)22         emptyList<Int>().shouldHaveMean(BigDecimal(0.0), 3)23         emptyList<Int>().shouldHaveMean(0.0, 2)24         emptyList<Int>().shouldHaveMean(0.000000, 1)25      }26      "Variance should be ZERO if collection is empty" {...

StatsMatchersTest

Using AI Code Generation

1import com.sksamuel.kotest.matchers.stats.*2import io.kotest.core.spec.style.StringSpec3import io.kotest.matchers.shouldBe4import io.kotest.matchers.shouldNotBe5import org.apache.commons.math3.stat.descriptive.moment.*6import org.apache.commons.math3.stat.descriptive.rank.*7import org.apache.commons.math3.stat.descriptive.summary.*8class StatsMatchersTest : StringSpec({9"Sum should match" {10val sum = Sum()11sum.increment(1.0)12sum.increment(2.0)13sum.increment(3.0)14sum shouldBe sum(6.0)15}16"Mean should match" {17val mean = Mean()18mean.increment(1.0)19mean.increment(2.0)20mean.increment(3.0)21mean shouldBe mean(2.0)22}23"Min should match" {24val min = Min()25min.increment(1.0)26min.increment(2.0)27min.increment(3.0)28min shouldBe min(1.0)29}30"Max should match" {31val max = Max()32max.increment(1.0)33max.increment(2.0)34max.increment(3.0)35max shouldBe max(3.0)36}37"Variance should match" {38val variance = Variance()39variance.increment(1.0)40variance.increment(2.0)41variance.increment(3.0)42variance shouldBe variance(0.6666666666666666)43}44"Standard Deviation should match" {45val std = StandardDeviation()46std.increment(1.0)47std.increment(2.0)48std.increment(3.0)49std shouldBe stdDeviation(0.816496580927726)50}51"Kurtosis should match" {52val kurtosis = Kurtosis()53kurtosis.increment(1.0)54kurtosis.increment(2.0)55kurtosis.increment(3.0)56kurtosis shouldBe kurtosis(-1.2)57}58"Skewness should match" {59val skewness = Skewness()60skewness.increment(1.0)61skewness.increment(2.0)62skewness.increment(3.0)63skewness shouldBe skewness(0.0)64}65"Percentile should match" {66val percentile = Percentile()67percentile.increment(1.0)68percentile.increment(2.0)69percentile.increment(3

StatsMatchersTest

Using AI Code Generation

1import io.kotest.matchers.shouldBe2import io.kotest.matchers.shouldNotBe3import io.kotest.matchers.shouldThrow4import io.kotest.matchers.stats.*5import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics6class StatsMatchersTest {7    val stats = DescriptiveStatistics(doubleArrayOf(1.0, 2.0, 3.0, 4.0, 5.0))8    init {9        "DescriptiveStatistics" should {10            "have a mean of 3" {11            }12            "have a median of 3" {13            }14            "have a mode of 1" {15            }16            "have a variance of 2.5" {17            }18            "have a standard deviation of 1.5811388300841898" {19            }20            "have a geometric mean of 2.6051710846973517" {21            }22            "have a kurtosis of 1.3" {23            }24            "have a skewness of 0.0" {25            }26            "have a sum of 15" {27            }28            "have a sum of squares of 55" {29            }30            "have a sum of logs of 5.703782474656201" {31            }32            "have a sum of squares of logs of 4.0943445622221" {33            }34            "have a product of 120" {35            }36            "have a min of 1" {37            }38            "have a max of 5" {

StatsMatchersTest

Using AI Code Generation

1val data = listOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)2data.mode() shouldBe 13data.variance() shouldBe 8.254data.stdDev() shouldBe 2.87228132326901435data.skewness() shouldBe 0.06data.kurtosis() shouldBe -1.27data.covariance(listOf(10, 9, 8, 7, 6, 5, 4, 3, 2, 1)) shouldBe -8.258data.correlation(listOf(10, 9, 8, 7, 6, 5, 4, 3, 2, 1)) shouldBe -1.09val date = Date()10date shouldBe before(Date(date.time + 1000))11date shouldBe after(Date(date.time - 1000))12date shouldBe between(Date(date.time - 1000), Date(date.time + 1000))13date shouldBe within(1000, Date(date.time + 1000))141 shouldBe anInstanceOf<Int>()151 shouldBe a<Int>()161 shouldBe aNumber()171 shouldBe aDouble()181 shouldBe aFloat()191 shouldBe aLong()201 shouldBe aShort()211 shouldBe aByte()221 shouldBe aChar()231 shouldBe aString()241 shouldBe aBoolean()251 shouldBe aNull()261 shouldBe aUnit()271 shouldBe aNothing()281 shouldBe aFunction0()291 shouldBe aFunction1()301 shouldBe aFunction2()311 shouldBe aFunction3()321 shouldBe aFunction4()331 shouldBe aFunction5()341 shouldBe aFunction6()351 shouldBe aFunction7()361 shouldBe aFunction8()371 shouldBe aFunction9()381 shouldBe aFunction10()391 shouldBe aFunction11()401 shouldBe aFunction12()411 shouldBe aFunction13()421 shouldBe aFunction14()431 shouldBe aFunction15()441 shouldBe aFunction16()451 shouldBe aFunction17()461 shouldBe aFunction18()471 shouldBe aFunction19()481 shouldBe aFunction20()491 shouldBe aFunction21()

StatsMatchersTest

Using AI Code Generation

1import com.sksamuel.kotest.matchers.stats.*2import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics3import org.apache.commons.math3.stat.descriptive.SummaryStatistics4import org.apache.commons.math3.stat.descriptive.rank.Median5import org.apache.commons.math3.stat.descriptive.rank.Percentile6import org.apache.commons.math3.stat.descriptive.rank.Percentile7import org.apache.commons.math3.stat.descriptive.moment.Variance8import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation9import org.apache.commons.math3.stat.descriptive.moment.Skewness10import org.apache.commons.math3.stat.descr

StatsMatchersTest

Using AI Code Generation

1import com.sksamuel.kotest.matchers.stats.*2import io.kotest.core.spec.style.StringSpec3class StatsMatchersTest : StringSpec({4"StatsMatchersTest" {5}6})7import io.kotest.matchers.doubles.plusOrMinus8import io.kotest.matchers.shouldBe9import io.kotest.matchers.stats.*10import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics11import org.apache.commons.math3.stat.descriptive.rank.Max12import org.apache.commons.math3.stat.descriptive.rank.Min13import org.apache.commons.math3.stat.descriptive.summary.Sum14import org.apache.commons.math3.stat.descriptive.summary.SumOfSquares15import org.apache.commons.math3.stat.descriptive.summary.SumOfSquaresOfDeviations16import org.apache.commons.math3.stat.inference.ChiSquareTest17import org.apache.commons.math3.stat.inference.TTest18import org.apache.commons.math3.stat.inference.TTestImpl19import org.apache.commons.math3.stat.regression.SimpleRegression20import org.junit.jupiter.api.Assertions.*21import org.junit.jupiter.api.Test22class StatsMatchersTest {23}24import io.kotest.core.spec.style.StringSpec25import io.kotest.matchers.doubles.plusOrMinus26import io.kotest.matchers.shouldBe27import io.kotest.matchers.stats.*28import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics29import org.apache.commons.math3.stat.descriptive.rank.Max30import org.apache.commons.math3.stat.descriptive.rank.Min31import org.apache.commons.math3.stat.descriptive.summary.Sum32import org.apache.commons.math3.stat.descriptive.summary.SumOfSquares33import org.apache.commons.math3.stat.descriptive.summary.SumOfSquaresOfDeviations34import org.apache.commons.math3.stat.inference.ChiSquareTest35import org.apache.commons.math3.stat.inference.TTest36import org.apache.commons.math3.stat.inference.TTestImpl37import org.apache.commons.math3.stat.regression.SimpleRegression38import org.junit.jupiter.api.Assertions.*39import org.junit.jupiter.api.Test

StatsMatchersTest

Using AI Code Generation

1import com.sksamuel.kotest.matchers.stats.*2import io.kotest.core.spec.style.StringSpec3class StatsMatchersTest : StringSpec({4"StatsMatchersTest" {5shouldHaveMean(1.0, 1.0, 1.0)6shouldHaveMean(1.0, 1.0, 1.0, 1.0)7shouldHaveMean(1.0, 1.0, 1.0, 1.0, 1

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