Best Kotest code snippet using io.kotest.property.PropertyResult
LabelsReporter.kt
Source:LabelsReporter.kt
1package io.kotest.property.classifications2import io.kotest.common.ExperimentalKotest3import io.kotest.property.PropertyResult4import kotlin.math.max5import kotlin.math.roundToInt6/**7 * Pluggable interface for outputting input value labels used in property testing.8 */9@ExperimentalKotest10interface LabelsReporter {11 fun output(result: PropertyResult)12}13@ExperimentalKotest14object StandardLabelsReporter : LabelsReporter {15 private fun row(label: String, count: Int, attempts: Int, countPad: Int) {16 val percentage = max(((count / attempts.toDouble() * 100.0)).roundToInt(), 1)17 println("${label.padEnd(60, ' ')} ${count.toString().padStart(countPad, ' ')} ($percentage%)")18 }19 override fun output(result: PropertyResult) {20 val countPad = result.attempts.toString().length21 result.inputs.forEach { arg ->22 println("Label statistics for arg $arg (${result.attempts} inputs):")23 result.labels[arg]?.forEach { (label, count) ->24 row(label, count, result.attempts, countPad)25 }26 val other = result.attempts - (result.labels[arg]?.values?.sum() ?: 0)27 if (other > 0) {28 row("OTHER", other, result.attempts, countPad)29 }30 println()31 }32 }33}...
output.kt
Source:output.kt
1package io.kotest.property.classifications2import io.kotest.property.PropTestConfig3import io.kotest.property.PropertyContext4import 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}...
result.kt
Source:result.kt
1package io.kotest.property2/**3 * Models the results of a single property test.4 */5data class PropertyResult(6 // the argument names used, if possible to derive on the platforms, otherwise the index of that arg7 val inputs: List<String>,8 val seed: Long,9 val attempts: Int,10 val successes: Int,11 val failures: Int,12 // a map of maps, where each map is the classification labels for the named argument13 val labels: Map<String, Map<String, Int>>,14)...
PropertyResult
Using AI Code Generation
1import io.kotest.property.PropertyResult2import io.kotest.property.forAll3import io.kotest.property.prop4import io.kotest.property.property5class PropertyResultTest {6 fun `PropertyResult example`() {7 property("property with property function") {8 forAll { a: Int, b: Int ->9 }10 }11 prop("property with prop function") {12 forAll { a: Int, b: Int ->13 }14 }15 property("property with property function") {16 forAll { a: Int, b: Int ->17 PropertyResult(a + b == b + a, "a=$a, b=$b")18 }19 }20 prop("property with prop function") {21 forAll { a: Int, b: Int ->22 PropertyResult(a + b == b + a, "a=$a, b=$b")23 }24 }25 }26}
PropertyResult
Using AI Code Generation
1class PropertyResultTest : FunSpec({2 test("test property result") {3 val result = checkAll(100, Gen.int(), Gen.int()) { a, b ->4 }5 result shouldBe PropertyResult(status = PropertyStatus.Success)6 }7})
PropertyResult
Using AI Code Generation
1+class PropertyResultTest : StringSpec({2+ "PropertyResult" {3+ forAll<Int, Int> { a, b ->4+ }.check()5+ }6+})
PropertyResult
Using AI Code Generation
1class PropertyResultTest : StringSpec({2 "PropertyResult"{3 val result = property(Arb.int(1..100)) { n ->4 }5 }6})
PropertyResult
Using AI Code Generation
1class PropertyResultTest: StringSpec({2 "propertyResult" {3 val result = property { forAll { a: Int, b: Int ->4 } }5 result.labels shouldBe emptyMap()6 }7})
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