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

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

matchers.kt

Source:matchers.kt Github

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...330 {331 "Collection should not have mean $expected but was $actual"332 })333}334private fun <T : Number> testVariance(335 collection: Collection<T>,336 expectedValue: BigDecimal,337 precision: Int338): MatcherResult {339 val expected = expectedValue.stripTrailingZeros()340 val actual = if (collection.isEmpty()) BigDecimal.ZERO else calculateVariance(collection).round(precision)341 return MatcherResult(342 expected.compareTo(actual) == 0,343 { "Collection should have variance $expected but was $actual" },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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testVariance

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1testVariance ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 ) shouldBe 2.02testVariance ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ) shouldBe 3.53testVariance ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 , 7.0 ) shouldBe 4.54testVariance ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 , 7.0 , 8.0 ) shouldBe 5.255testVariance ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 , 7.0 , 8.0 , 9.0 ) shouldBe 6.06testVariance ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 , 7.0 , 8.0 , 9.0 , 10.0 ) shouldBe 7.57testVariance ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 , 7.0 , 8.0 , 9.0 , 10.0 , 11.0 ) shouldBe 8.258testVariance ( 1.0

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testVariance

Using AI Code Generation

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1testVariance(1.0, 2.0, 3.0, 4.0) shouldBe 1.252testVariance(1.0, 2.0, 3.0, 4.0) shouldBeLessThan 2.03testVariance(1.0, 2.0, 3.0, 4.0) shouldBeGreaterThan 0.54testVariance(1.0, 2.0, 3.0, 4.0) shouldBeInRange 0.5..2.05testVariance(1.0, 2.0, 3.0, 4.0) shouldBeIn 0.5..2.06testVariance(1.0, 2.0, 3.0, 4.0) shouldNotBeIn 0.0..0.57testVariance(1.0, 2.0, 3.0, 4.0) shouldNotBeIn 2.0..3.08testVariance(1.0, 2.0, 3.0, 4.0) shouldNotBeInRange 0.0..0.59testVariance(1.0, 2.0, 3.0, 4.0) shouldNotBeInRange 2.0..3.010testVariance(1.0, 2.0, 3.0, 4.0) shouldBe 1.25 +- 0.0111testVariance(1.0, 2.0, 3.0, 4.0) shouldNotBe 1.25 +- 0.0112testVariance(1.0, 2.0, 3.0, 4.0) shouldBe 1.25 +- 0.0113testVariance(1.0, 2.0, 3.0, 4.0) shouldNotBe 1.25 +- 0.0114testVariance(1.0, 2.0, 3.0, 4.0) shouldBe 1.25 +- 0.0115testVariance(1.0, 2.0, 3.0, 4.0

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testVariance

Using AI Code Generation

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1 testVariance("testVariance", 1.0, 1.0, 0.0)2 testVariance("testVariance", 1.0, 2.0, 0.5)3 testVariance("testVariance", 1.0, 3.0, 1.0)4 testVariance("testVariance", 1.0, 4.0, 1.5)5 testVariance("testVariance", 1.0, 5.0, 2.0)6 testVariance("testVariance", 1.0, 6.0, 2.5)7 testVariance("testVariance", 1.0, 7.0, 3.0)8 testVariance("testVariance", 1.0, 8.0, 3.5)9 testVariance("testVariance", 1.0, 9.0, 4.0)10 testVariance("testVariance", 1.0, 10.0, 4.5)11 testVariance("testVariance", 1.0, 11.0, 5.0)12 testVariance("testVariance", 1.0, 12.0, 5.5)13 testVariance("testVariance", 1.0, 13.0, 6.0)14 testVariance("testVariance", 1.0, 14.0, 6.5)15 testVariance("testVariance", 1.0, 15.0, 7.0)16 testVariance("testVariance", 1.0, 16.0, 7.5)17 testVariance("testVariance", 1.0, 17.0, 8.0)18 testVariance("testVariance", 1.0, 18.0, 8.5)19 testVariance("testVariance", 1.0, 19.0, 9.0)20 testVariance("testVariance", 1.0, 20.0, 9.5)21 testVariance("testVariance", 1.0, 21.0

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testVariance

Using AI Code Generation

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1 testVariance(1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0)2 testVariance(1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)3 testVariance(1.0, 2.0, 1.0, 1.0, 2.0, 1.0, 1.0)4 testVariance(1.0, 3.0, 1.0, 1.0, 2.0, 1.0, 1.0)5 testVariance(1.0, 4.0, 1.0, 1.0, 2.0, 1.0, 1.0)6 testVariance(1.0, 5.0, 1.0, 1.0, 2.0, 1.0, 1.0)7 testVariance(1.0, 6.0, 1.0, 1.0, 2.0, 1.0, 1.0)8 }9}

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testVariance

Using AI Code Generation

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1testVariance ( 0.0 , 1.0 , 2.0 , 3.0 , 4.0 )2testVariance ( 0.0 , 1.0 , 2.0 , 3.0 , 4.0 )3testStandardDeviation ( 0.0 , 1.0 , 2.0 , 3.0 , 4.0 )4testStandardDeviation ( 0.0 , 1.0 , 2.0 , 3.0 , 4.0 )5testStandardError ( 0.0 , 1.0 , 2.0 , 3.0 , 4.0 )6testStandardError ( 0.0 , 1.0 , 2.0 , 3.0 , 4.0 )7testSkewness ( 0.0 , 1.0 , 2.0 , 3.0 , 4.0 )

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