Best Kotest code snippet using io.kotest.property.PropertyContext.attempts
test.kt
Source:test.kt
...68 }69 }70 println()71 writeFailedSeedIfEnabled(seed)72 throwPropertyTestAssertionError(shrinkfn(), e, context.attempts(), seed)73 } else if (context.failures() > config.maxFailure) {74 var error = "Property failed ${context.failures()} times (maxFailure rate was ${config.maxFailure})\n"75 error += "Last error was caused by args:\n"76 inputs.withIndex().forEach { (index, value) ->77 error += " $index) ${value.print().value}\n"78 }79 writeFailedSeedIfEnabled(seed)80 throwPropertyTestAssertionError(shrinkfn(), AssertionError(error), context.attempts(), seed)81 }82}...
context.kt
Source:context.kt
...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()]...
coverage.kt
Source:coverage.kt
...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 }48 return context49}...
checks.kt
Source:checks.kt
...7 if (seed != null && PropertyTesting.failOnSeed)8 error("A seed is specified on this property-test and failOnSeed is true")9}10fun PropertyContext.checkMaxSuccess(config: PropTestConfig, seed: Long) {11 val min = min(config.minSuccess, attempts())12 if (successes() < min) {13 val error = "Property passed ${successes()} times (minSuccess rate was $min)\n"14 throwPropertyTestAssertionError(AssertionError(error), attempts(), seed)15 }16}...
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}...
attempts
Using AI Code Generation
1 property("addition should be commutative") {2 forAll { a: Int, b: Int ->3 }4 }5 }6}
attempts
Using AI Code Generation
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