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

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

test.kt

Source:test.kt

...11import kotlin.coroutines.coroutineContext12/**13 * Performs a property test for a single set of values, tracking the min success and max failure rates.14 * Will perform shrinking and throw when the property test is deemed to have failed.15 * If a classifier is provided, will classify each value.16 *17 * If registered, will invoke beforeProperty and afterProperty lifecycle methods.18 */19internal suspend fun test(20   context: PropertyContext,21   config: PropTestConfig,22   shrinkfn: suspend () -> List<ShrinkResult<Any?>>,23   inputs: List<Any?>,24   classifiers: List<Classifier<out Any?>?>,25   seed: Long,26   fn: suspend () -> Any27) {28   require(inputs.size == classifiers.size)29   try {30      inputs.indices.forEach { k ->31         val value = inputs[k]32         val classifier = classifiers[k]33         if (classifier != null) {34            val label = (classifier as Classifier<Any?>).classify(value)35            if (label != null) context.classify(k, label)36         }37      }38      coroutineContext[BeforePropertyContextElement]?.before?.invoke()39      fn()40      context.markSuccess()41      coroutineContext[AfterPropertyContextElement]?.after?.invoke()42   } catch (e: Throwable) {  // we track any throwables and try to shrink them43      context.markFailure()44      handleException(context, shrinkfn, inputs, seed, e, config)45   }46   clearFailedSeed()47}48internal suspend fun handleException(49   context: PropertyContext,...

context.kt

Source:context.kt

...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 }48         classifications[trueLabel] = current + 149      } else {50         val current = classifications.getOrElse(falseLabel) { 0 }51         classifications[falseLabel] = current + 152      }53   }54}...

coverage.kt

Source:coverage.kt

1package io.kotest.property2import io.kotest.assertions.fail3/**4 * Asserts that the given [label] was applied to at least [percentage] number of tests.5 * See [PropertyContext.classify].6 *7 * Example, checks that for at least 25% of the iterations a was classified as "even".8 *9 *       checkCoverage("even", 25.0) {10 *          forAll(Arb.int()) { a ->11 *             classify(a % 2 == 0, "even")12 *             a + a == 2 * a13 *          }14 *       }15 *16 */17suspend fun checkCoverage(label: String, percentage: Double, f: suspend () -> PropertyContext): PropertyContext {18   val context = f()19   val labelled = context.classifications()[label] ?: 020   val attempts = context.attempts()21   val actual = (labelled.toDouble() / attempts.toDouble()) * 100.022   if (actual < percentage)23      fail("Property test required coverage of $percentage% for [$label] but was [${actual.toInt()}%]")24   return context25}26/**27 * Asserts more than one label coverage at once.28 *29 *  Example, checks that we had at least 25% "even" and 25% "odd" iterations.30 *31 *       checkCoverage("even" to 25.0, "odd" to 25.0) {32 *          forAll(Arb.int()) { a ->33 *             classify(a % 2 == 0, "even", "odd")34 *             a + a == 2 * a35 *          }36 *       }37 */38suspend fun checkCoverage(vararg pairs: Pair<String, Double>, f: suspend () -> PropertyContext): PropertyContext {39   val context = f()40   val coverage = pairs.toMap()41   val attempts = context.attempts()42   context.classifications().forEach { (label, count) ->43      val actual = (count.toDouble() / attempts.toDouble()) * 100.044      val required = coverage[label] ?: 0.045      if (actual < required)46         fail("Property test required coverage of $required% for [$label] but was [${actual.toInt()}%]")47   }...

classify

Using AI Code Generation

1val result = propertyContext.classify("a", "b")2val result = propertyContext.classify("a", "b", "c")3val result = propertyContext.classify("a", "b", "c", "d")4val result = propertyContext.classify("a", "b", "c", "d", "e")5val result = propertyContext.classify("a", "b", "c", "d", "e", "f")6val result = propertyContext.classify("a", "b", "c", "d", "e", "f", "g")7val result = propertyContext.classify("a", "b", "c", "d", "e", "f", "g", "h")8val result = propertyContext.classify("a", "b", "c", "d", "e", "f", "g", "h", "i")9val result = propertyContext.classify("a", "b", "c", "d", "e", "f", "g", "h", "i", "j")10val result = propertyContext.classify("a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k")11val result = propertyContext.classify("a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l")12val result = propertyContext.classify("a", "b", "

classify

Using AI Code Generation

1property("string length should return the length of the string") {2forAll { a: String ->3}4}5property("string length should return the length of the string") {6forAll { a: String ->7classify(a.length == 0, "empty string")8}9}10property("string length should return the length of the string") {11forAll { a: String ->12classify(a.length == 0, "empty string")13classify(a.length > 0, "non-empty string")14}15}16property("string length should return the length of the string") {17forAll { a: String ->18classify(a.length == 0, "empty string")19classify(a.length > 0, "non-empty string")20classify(a.length == 1, "single character")21}22}23property("string length should return the length of the string") {24forAll { a: String ->25classify(a.length == 0, "empty string")26classify(a.length > 0, "non-empty string")27classify(a.length == 1, "single character")28classify(a.length > 1, "multiple characters")29}30}31property("string length should return the length of the string") {32forAll { a: String ->33classify(a.length == 0, "empty string")34classify(a.length > 0, "non-empty string")35classify(a.length == 1, "single character")36classify(a.length > 1, "multiple characters")37classify(a.length > 10, "long string")38}39}40property("string length should return the length of the string") {41forAll { a: String ->42classify(a.length == 0, "empty string")43classify(a.length > 0, "non-empty string")44classify(a.length == 1, "single

classify

Using AI Code Generation

1val propContext = PropertyContext()2val result = propContext.classify("positive", 10 > 0)3println(result)4val propContext = PropertyContext()5val result = propContext.classify("positive", 10 > 0)6println(result)7val propContext = PropertyContext()8val result = propContext.classify("positive", 10 > 0)9println(result)10val propContext = PropertyContext()11val result = propContext.classify("positive", 10 > 0)12println(result)13val propContext = PropertyContext()14val result = propContext.classify("positive", 10 > 0)15println(result)16val propContext = PropertyContext()17val result = propContext.classify("positive", 10 > 0)18println(result)19val propContext = PropertyContext()20val result = propContext.classify("positive", 10 > 0)21println(result)22val propContext = PropertyContext()23val result = propContext.classify("positive", 10 > 0)24println(result)25val propContext = PropertyContext()26val result = propContext.classify("positive", 10 > 0)27println(result)28val propContext = PropertyContext()29val result = propContext.classify("positive", 10 > 0)30println(result)31val propContext = PropertyContext()32val result = propContext.classify("positive", 10 > 0)33println(result)34val propContext = PropertyContext()35val result = propContext.classify("positive", 10 > 0)36println(result)

classify

Using AI Code Generation

1val context = PropertyContext()2val result = context.classify("test") {3}4val context = PropertyContext()5val result = context.classify("test") {6}7val context = PropertyContext()8val result = context.classify("test") {9}10val context = PropertyContext()11val result = context.classify("test") {12}13val context = PropertyContext()14val result = context.classify("test") {15}16val context = PropertyContext()17val result = context.classify("test") {18}19val context = PropertyContext()20val result = context.classify("test") {21}22val context = PropertyContext()23val result = context.classify("test") {24}25val context = PropertyContext()26val result = context.classify("test") {27}28val context = PropertyContext()29val result = context.classify("test") {30}31val context = PropertyContext()32val result = context.classify("test") {33}34val context = PropertyContext()35val result = context.classify("test") {36}37val context = PropertyContext()38val result = context.classify("test") {39}40val context = PropertyContext()41val result = context.classify("test") {

classify

Using AI Code Generation

1val context = PropertyContext()2val result = context.classify("a", 1)3val context = PropertyContext()4val result = context.classify("a", 1)5val context = PropertyContext()6val result = context.classify("a", 1)7val context = PropertyContext()8val result = context.classify("a", 1)9val context = PropertyContext()10val result = context.classify("a", 1)11val context = PropertyContext()12val result = context.classify("a", 1)13val context = PropertyContext()14val result = context.classify("a", 1)15val context = PropertyContext()16val result = context.classify("a", 1)17val context = PropertyContext()18val result = context.classify("a", 1)19val context = PropertyContext()20val result = context.classify("a", 1)21val context = PropertyContext()22val result = context.classify("a", 1)

classify

Using AI Code Generation

1fun `string should be a valid email`() {2  val context = PropertyContext()3  forAll<String> {4    context.classify(it.isEmail(), "valid email", "invalid email")5    context.classify(it.isEmail(), "valid email")6    it.isEmail()7  }8}9fun `string should be a valid email`() {10  val context = PropertyContext()11  forAll<String> {12    context.classify(it.isEmail(), "valid email", "invalid email")13    context.classify(it.isEmail(), "valid email")14    it.isEmail()15  }16}

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