How to use testStandardDeviation method of io.kotest.matchers.stats.matchers class

Best Kotest code snippet using io.kotest.matchers.stats.matchers.testStandardDeviation

matchers.kt

Source: matchers.kt Github

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...344 {345 "Collection should not have variance $expected but was $actual"346 })347}348private fun <T : Number> testStandardDeviation(349 collection: Collection<T>,350 expectedValue: BigDecimal,351 precision: Int352): MatcherResult {353 val expected = expectedValue.stripTrailingZeros()354 val actual = if (collection.isEmpty()) BigDecimal.ZERO else calculateStandardDeviation(collection).round(precision)355 return MatcherResult(356 expected.compareTo(actual) == 0,357 { "Collection should have standard deviation $expected but was $actual" },358 {359 "Collection should not have standard deviation $expected but was $actual"360 })361}362fun <T : Number> haveMean(expectedValue: BigDecimal, precision: Int = 4) = object :363 Matcher<Collection<T>> {364 override fun test(value: Collection<T>): MatcherResult = testMean(value, expectedValue, precision)365}366fun <T : Number> haveMean(expectedValue: Double, precision: Int = 4) = object : Matcher<Collection<T>> {367 override fun test(value: Collection<T>): MatcherResult = testMean(value, expectedValue.toBigDecimal(), precision)368}369fun <T : Number> haveVariance(expectedValue: BigDecimal, precision: Int) = object : Matcher<Collection<T>> {370 override fun test(value: Collection<T>): MatcherResult = testVariance(value, expectedValue, precision)371}372fun <T : Number> haveVariance(expectedValue: Double, precision: Int) = object : Matcher<Collection<T>> {373 override fun test(value: Collection<T>): MatcherResult = testVariance(value, expectedValue.toBigDecimal(), precision)374}375fun <T : Number> haveStandardDeviation(expectedValue: BigDecimal, precision: Int) = object : Matcher<Collection<T>> {376 override fun test(value: Collection<T>): MatcherResult = testStandardDeviation(value, expectedValue, precision)377}378fun <T : Number> haveStandardDeviation(expectedValue: Double, precision: Int) = object : Matcher<Collection<T>> {379 override fun test(value: Collection<T>): MatcherResult = testStandardDeviation(value, expectedValue.toBigDecimal(), precision)380}...

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testStandardDeviation

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1import io.kotest.matchers.shouldBe2import io.kotest.matchers.stats.matchers.*3import io.kotest.matchers.stats.*4import io.kotest.matchers.*5import io.kotest.core.spec.style.StringSpec6import io.kotest.matchers.should7import io.kotest.matchers.shouldNot8class TestStandardDeviation : StringSpec({9"test standardDeviation" {10val listOfNumbers = listOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)11val standardDeviation = StandardDeviation()12standardDeviation should testStandardDeviation(listOfNumbers, 3.0276503540974917)13}14})15import io.kotest.matchers.shouldBe16import io.kotest.matchers.stats.matchers.*17import io.kotest.matchers.stats.*18import io.kotest.matchers.*19import io.kotest.core.spec.style.StringSpec20import io.kotest.matchers.should21import io.kotest.matchers.shouldNot22class TestStandardDeviation : StringSpec({23"test standardDeviation" {24val listOfNumbers = listOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)25val standardDeviation = StandardDeviation()26standardDeviation should testStandardDeviation(listOfNumbers, 3.0276503540974917)27}28})29import io.kotest.matchers.shouldBe30import io.kotest.matchers.stats.matchers.*31import io.kotest.matchers.stats.*32import io.kotest.matchers.*33import io.kotest.core.spec.style.StringSpec34import io.kotest.matchers.should35import io.kotest.matchers.shouldNot36class TestStandardDeviation : StringSpec({37"test standardDeviation" {38val listOfNumbers = listOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)39val standardDeviation = StandardDeviation()40standardDeviation should testStandardDeviation(listOfNumbers, 3.0276503540974917)41}42})

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testStandardDeviation

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1testStandardDeviation ( data , 2.0 )2testVariance ( data , 4.0 )3testKurtosis ( data , 0.0 )4testSkewness ( data , 0.0 )5testSumOfSquares ( data , 30.0 )6testGeometricMean ( data , 2.0 )7testHarmonicMean ( data , 1.6363636363636365 )8testMedian ( data , 2.0 )9testMode ( data , 1.0 )10testPercentile ( data , 50.0 , 2.0 )11testInterquartileRange ( data , 1.0 )12testQuartiles ( data , 1.5 , 2.0 , 2.5 )13testSkewness ( data , 0.0 )14testKurtosis ( data , 0.0 )15testRange ( data , 1.0 , 4.0 )

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testStandardDeviation

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1testStandardDeviation ( 1.0 , 2.0 , 3.0 ) should be ( 1.0 )2testStandardDeviation ( 1.0 , 2.0 , 3.0 ) shouldNot be ( 2.0 )3testStandardDeviation ( 1.0 , 2.0 , 3.0 ) shouldBe 1.04testStandardDeviation ( 1.0 , 2.0 , 3.0 ) shouldNotBe 2.05testStandardDeviation ( 1.0 , 2.0 , 3.0 ) should beLessThan ( 2.0 )6testStandardDeviation ( 1.0 , 2.0 , 3.0 ) should beLessThanOrEqual ( 2.0 )7testStandardDeviation ( 1.0 , 2.0 , 3.0 ) should beGreaterThan ( 0.0 )8testStandardDeviation ( 1.0 , 2.0 , 3.0 ) should beGreaterThanOrEqual ( 0.0 )9testStandardDeviation ( 1.0 , 2.0 , 3.0 ) shouldBeInRange 0.0 .. 2.010testStandardDeviation ( 1.0 , 2.0 , 3.0 ) shouldNotBeInRange 0.0 .. 1.0

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testStandardDeviation

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1testStandardDeviation ( 5.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.02testStandardDeviation ( 1.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.03testStandardDeviation ( 1.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.04testStandardDeviation ( 1.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.05testStandardDeviation ( 1.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.06testStandardDeviation ( 1.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.07testStandardDeviation ( 1.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.08testStandardDeviation ( 1.0 , 1.0 , 1.0 , 1.0 , 1.0 , 1.0 ) shouldBe 0.0

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testStandardDeviation

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1testStandardDeviation(standardDeviation, 0.0, 0.5, 1.0, 1.5, 2.0)2testVariance(variance, 0.0, 0.5, 1.0, 1.5, 2.0)3testStandardError(standardError, 0.0, 0.5, 1.0, 1.5, 2.0)4testMean(mean, 0.0, 0.5, 1.0, 1.5, 2.0)5testMedian(median, 0.0, 0.5, 1.0, 1.5, 2.0)6testMode(mode, 0.0, 0.5, 1.0, 1.5, 2.0)7testQuartiles(quartiles, 0.0, 0.5, 1.0, 1.5, 2.0)8testPercentile(0.0, 0.0, 0.5, 1.0, 1.5, 2.0)9testPercentile(0.25, 0.0, 0.5, 1.0, 1.5, 2.0)10testPercentile(0.75, 0.0, 0.5, 1.0, 1.5, 2.0)11testPercentile(1.0, 0.0, 0.5, 1.0, 1.5, 2.0)

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