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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))

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