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

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

matchers.kt

Source:matchers.kt

...292 */293fun <T : Number> Collection<T>.shouldNotHaveStandardDeviation(value: Double, precision: Int = 4) = this shouldNot haveStandardDeviation<T>(value, precision)294private val defaultMathContext = MathContext(64, RoundingMode.HALF_UP)295private fun BigDecimal.round(precision: Int): BigDecimal = this.setScale(precision, RoundingMode.HALF_UP).stripTrailingZeros()296private fun <T : Number> calculateMean(collection: Collection<T>): BigDecimal {297   var sum: BigDecimal = BigDecimal.ZERO298   for (elem in collection) {299      sum += BigDecimal(elem.toString())300   }301   return sum.divide(BigDecimal(collection.size), defaultMathContext)302}303private fun <T : Number> calculateVariance(collection: Collection<T>): BigDecimal {304   val mean: BigDecimal = calculateMean(collection)305   var sumOfSquaredDifferences: BigDecimal = BigDecimal.ZERO306   for (elem in collection) {307      sumOfSquaredDifferences += (BigDecimal(elem.toString()) - mean).pow(2)308   }309   return sumOfSquaredDifferences.divide(BigDecimal(collection.size), defaultMathContext)310}311private fun <T : Number> calculateStandardDeviation(collection: Collection<T>): BigDecimal {312   val variance = calculateVariance(collection)313   val two = BigDecimal(2)314   var x0 = BigDecimal.ZERO315   var x1 = BigDecimal(sqrt(variance.toDouble()))316   while (x0 != x1) {317      x0 = x1318      x1 = variance.divide(x0, defaultMathContext)319      x1 = x1.add(x0)320      x1 = x1.divide(two, defaultMathContext)321   }322   return x1323}324private fun <T : Number> testMean(collection: Collection<T>, expectedValue: BigDecimal, precision: Int): MatcherResult {325   val expected = expectedValue.stripTrailingZeros()326   val actual = if (collection.isEmpty()) BigDecimal.ZERO else calculateMean(collection).round(precision)327   return MatcherResult(328      expected.compareTo(actual) == 0,329      { "Collection should have mean $expected but was $actual" },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)...

calculateMean

Using AI Code Generation

1    val mean = calculateMean(listOf(1,2,3,4,5))2    val mean = calculateMean(listOf(1,2,3,4,5))3    val mean = calculateMean(listOf(1,2,3,4,5))4    val mean = calculateMean(listOf(1,2,3,4,5))5    val mean = calculateMean(listOf(1,2,3,4,5))6    val mean = calculateMean(listOf(1,2,3,4,5))7    val mean = calculateMean(listOf(1,2,3,4,5))8    val mean = calculateMean(listOf(1,2,3,4,5))9    val mean = calculateMean(listOf(1,2,3,4,5))10    val mean = calculateMean(listOf(1,2,3,4,5))11    val mean = calculateMean(listOf(1,2,3,4,5))12    val mean = calculateMean(listOf(1,2,3,4,5))13    val mean = calculateMean(listOf(1,2,3,4,5

calculateMean

Using AI Code Generation

1calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.12calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.13calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.14calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.15calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.16calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.17calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.18calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11.0)) shouldBe 5.8 +- 0.19calculateMean(listOf(2.0, 3.0, 5.0, 7.0, 11

calculateMean

Using AI Code Generation

1val mean = calculateMean(listOf(1.0, 2.0, 3.0, 4.0))2val median = calculateMedian(listOf(1.0, 2.0, 3.0, 4.0))3val mode = calculateMode(listOf(1.0, 2.0, 3.0, 4.0))4val standardDeviation = calculateStandardDeviation(listOf(1.0, 2.0, 3.0, 4.0))5val variance = calculateVariance(listOf(1.0, 2.0, 3.0, 4.0))6val range = calculateRange(listOf(1.0, 2.0, 3.0, 4.0))7val sum = calculateSum(listOf(1.0, 2.0, 3.0, 4.0))8val product = calculateProduct(listOf(1.0, 2.0, 3.0, 4.0))

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.