How to use autoclassifications method of io.kotest.property.PropertyContext class

Best Kotest code snippet using io.kotest.property.PropertyContext.autoclassifications

context.kt

Source:context.kt

...6class PropertyContext {7   private var successes = 08   private var failures = 09   private val classifications = mutableMapOf<String, Int>()10   private val autoclassifications = mutableMapOf<String, MutableMap<String, Int>>()11   fun markSuccess() {12      successes++13   }14   fun markFailure() {15      failures++16   }17   fun successes() = successes18   fun failures() = failures19   fun attempts(): Int = successes + failures20   fun classifications(): Map<String, Int> = classifications.toMap()21   fun autoclassifications(): Map<String, Map<String, Int>> = autoclassifications.toMap()22   /**23    * Increase the count of [label].24    */25   fun classify(label: String) {26      val current = classifications.getOrElse(label) { 0 }27      classifications[label] = current + 128   }29   fun classify(input: Int, label: String) {30      val current = autoclassifications.getOrPut(input.toString()) { mutableMapOf() }31      val count = current[label] ?: 032      current[label] = count + 133      autoclassifications[input.toString()]34   }35   /**36    * Increase the count of [label] if [condition] is true.37    */38   fun classify(condition: Boolean, label: String) {39      if (condition) classify(label)40   }41   /**42    * Increase the count of [trueLabel] if [condition] is true, otherwise increases43    * the count of [falseLabel].44    */45   fun classify(condition: Boolean, trueLabel: String, falseLabel: String) {46      if (condition) {47         val current = classifications.getOrElse(trueLabel) { 0 }...

output.kt

Source:output.kt

...4import io.kotest.property.PropertyResult5import io.kotest.property.PropertyTesting6fun PropertyContext.outputClassifications(inputs: Int, config: PropTestConfig, seed: Long) {7   val result =8      PropertyResult(List(inputs) { it.toString() }, seed, attempts(), successes(), failures(), autoclassifications())9   if (config.outputClassifications) config.labelsReporter.output(result)10}...

autoclassifications

Using AI Code Generation

1val config = PropertyTestingConfig ( iterations = 100 , threads = 1 , seed = null , minSuccessful = null , maxDiscardRatio = 2.0 , maxDiscardFactor = 10.0 , maxShrinks = 1000 , shrinkers = emptyMap (), listeners = emptyList (), invocations = 1 , invocationTimeLimit = null , invocationTriggers = emptySet (), invocationInterval = null , edgecases = EdgeCasesConfig ( attempts = 100 , max = 100 , min = 0 , mode = EdgeCasesMode . Exhaustive ), batchSize = 100 , testCases = 100 , assertions = 100 , perTestCase = 100 , perIteration = 100 , perIterationTolerance = 0.1 , perIterationToleranceMode = PerIterationToleranceMode . Relative , classifier = PropertyTestingClassification . Auto )2val propertyContext = PropertyContext ( config )3val result = propertyContext . forAll ( Arb . int ( - 1000 .. 1000 ), Arb . int ( - 1000 .. 1000 )) { a , b ->4println ( "Testing $a + $b = $result" )5}6println ( "Result: $result" )

autoclassifications

Using AI Code Generation

1val list = (1..100).shuffled().take(10)2val list = (1..100).shuffled().take(10)3val list = (1..100).shuffled().take(10)4val list = (1..100).shuffled().take(10)5val list = (1..100).shuffled().take(10)6val list = (1..100).shuffled().take(10)7val list = (1..100).shuffled().take(10)8val list = (1..100).shuffled().take(10)9val list = (1..100).shuffled().take(10)10val list = (1..100).shuffled().take(10)11val list = (1..100).shuffled().take(10)

autoclassifications

Using AI Code Generation

1class MyTest : StringSpec({2   "list should be sorted" {3      forAll { list: List<Int> ->4         val sorted = list.sorted()5      }6   }7})

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