How to use Arb.edgecases method of io.kotest.property.arbitrary.edgecases class

Best Kotest code snippet using io.kotest.property.arbitrary.edgecases.Arb.edgecases

Arb.kt

Source:Arb.kt Github

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1package arrow.fx.coroutines.stream2import io.kotest.property.Arb3import io.kotest.property.RandomSource4import io.kotest.property.Sample5import io.kotest.property.Shrinker6import io.kotest.property.arbitrary.arb7import io.kotest.property.arbitrary.bool8import io.kotest.property.arbitrary.byte9import io.kotest.property.arbitrary.choice10import io.kotest.property.arbitrary.choose11import io.kotest.property.arbitrary.double12import io.kotest.property.arbitrary.float13import io.kotest.property.arbitrary.int14import io.kotest.property.arbitrary.list15import io.kotest.property.arbitrary.long16import io.kotest.property.arbitrary.map17import io.kotest.property.arbitrary.set18import io.kotest.property.arbitrary.short19import kotlin.random.nextInt20@JvmOverloads21inline fun <reified A> Arb.Companion.array(22 gen: Arb<A>,23 range: IntRange = 0..10024): Arb<Array<A>> {25 check(!range.isEmpty())26 check(range.first >= 0)27 return arb(edgecases = listOf(emptyArray<A>()) + gen.edgecases().map { arrayOf(it) }) {28 sequence {29 val genIter = gen.generate(it).iterator()30 while (true) {31 val targetSize = it.random.nextInt(range)32 val list = ArrayList<A>(targetSize)33 while (list.size < targetSize && genIter.hasNext()) {34 list.add(genIter.next().value)35 }36 check(list.size == targetSize)37 yield(list.toArray() as Array<A>)38 }39 }40 }41}42@PublishedApi43internal fun <A, B> arrayChunkGenerator(44 arb: Arb<A>,45 shrinker: Shrinker<B>,46 range: IntRange = 0..10,47 build: (values: List<A>, offset: Int, length: Int) -> B48): Arb<B> {49 check(!range.isEmpty())50 check(range.first >= 0)51 val edgecases =52 arb.edgecases().map { a -> build(listOf(a), 0, 1) } + build(emptyList(), 0, 0)53 return arb(edgecases, shrinker) {54 val genIter = arb.generate(it).iterator()55 sequence {56 while (true) {57 val targetSize = it.random.nextInt(range)58 val list = ArrayList<A>(targetSize)59 while (list.size < targetSize && genIter.hasNext()) {60 list.add(genIter.next().value)61 }62 val offset = (0..list.size).random(it.random)63 val length = (0..(list.size - offset)).random(it.random)64 yield(build(list, offset, length))65 }66 }67 }68}69class ChunkShrinker<A> : Shrinker<Chunk<A>> {70 override fun shrink(value: Chunk<A>): List<Chunk<A>> =71 if (value.isEmpty()) emptyList()72 else listOf(73 Chunk.empty(),74 value.takeLast(1),75 value.take(value.size() / 3),76 value.take(value.size() / 2),77 value.take(value.size() * 2 / 3),78 value.dropLast(1)79 )80}81inline fun <reified A> Arb.Companion.chunk(arb: Arb<A>): Arb<Chunk<A>> =82 object : Arb<Chunk<A>>() {83 override fun edgecases(): List<Chunk<A>> =84 listOf(Chunk.empty<A>()) + arb.edgecases().map { Chunk(it) }85 override fun values(rs: RandomSource): Sequence<Sample<Chunk<A>>> =86 Arb.choose(87 5 to arb.map { Chunk.just(it) },88 10 to Arb.list(arb, 0..20).map { Chunk.iterable(it) },89 10 to Arb.set(arb, 0..20).map { Chunk.iterable(it) },90 10 to Arb.array(arb, 0..20).map { Chunk.array(it) },91 10 to Arb.boxedChunk(arb)92 ).values(rs)93 }94inline fun <reified A> Arb.Companion.boxedChunk(arb: Arb<A>): Arb<Chunk<A>> =95 object : Arb<Chunk<A>>() {96 override fun edgecases(): List<Chunk<A>> =97 listOf(Chunk.empty<A>()) + arb.edgecases().map { Chunk(it) }98 override fun values(rs: RandomSource): Sequence<Sample<Chunk<A>>> =99 arrayChunkGenerator(arb, ChunkShrinker()) { values, offset, length ->100 Chunk.boxed(values.toTypedArray(), offset, length)101 }.values(rs)102 }103fun Arb.Companion.booleanChunk(): Arb<Chunk<Boolean>> =104 object : Arb<Chunk<Boolean>>() {105 override fun edgecases(): List<Chunk<Boolean>> =106 listOf(Chunk.empty<Boolean>()) + Arb.bool().edgecases().map { Chunk(it) }107 override fun values(rs: RandomSource): Sequence<Sample<Chunk<Boolean>>> =108 Arb.choice(109 arrayChunkGenerator(Arb.bool(), ChunkShrinker()) { values, offset, length ->110 Chunk.booleans(values.toBooleanArray(), offset, length)111 },112 arrayChunkGenerator(Arb.bool(), ChunkShrinker()) { values, _, _ ->113 Chunk.array(values.toTypedArray())114 }115 ).values(rs)116 }117fun Arb.Companion.byteChunk(): Arb<Chunk<Byte>> =118 object : Arb<Chunk<Byte>>() {119 override fun edgecases(): List<Chunk<Byte>> =120 listOf(Chunk.empty<Byte>()) + Arb.byte().edgecases().map { Chunk(it) }121 override fun values(rs: RandomSource): Sequence<Sample<Chunk<Byte>>> =122 Arb.choice(123 arrayChunkGenerator(Arb.byte(), ChunkShrinker()) { values, offset, length ->124 Chunk.bytes(values.toByteArray(), offset, length)125 },126 arrayChunkGenerator(Arb.byte(), ChunkShrinker()) { values, _, _ ->127 Chunk.array(values.toTypedArray())128 }129 ).values(rs)130 }131fun Arb.Companion.intChunk(): Arb<Chunk<Int>> =132 object : Arb<Chunk<Int>>() {133 override fun edgecases(): List<Chunk<Int>> =134 listOf(Chunk.empty<Int>()) + Arb.int().edgecases().map { Chunk(it) }135 override fun values(rs: RandomSource): Sequence<Sample<Chunk<Int>>> =136 Arb.choice(137 arrayChunkGenerator(Arb.int(), ChunkShrinker()) { values, offset, length ->138 Chunk.ints(values.toIntArray(), offset, length)139 },140 arrayChunkGenerator(Arb.int(), ChunkShrinker()) { values, _, _ ->141 Chunk.array(values.toTypedArray())142 }143 ).values(rs)144 }145fun Arb.Companion.longChunk(): Arb<Chunk<Long>> =146 object : Arb<Chunk<Long>>() {147 override fun edgecases(): List<Chunk<Long>> =148 listOf(Chunk.empty<Long>()) + Arb.long().edgecases().map { Chunk(it) }149 override fun values(rs: RandomSource): Sequence<Sample<Chunk<Long>>> =150 Arb.choice(151 arrayChunkGenerator(Arb.long(), ChunkShrinker()) { values, offset, length ->152 Chunk.longs(values.toLongArray(), offset, length)153 },154 arrayChunkGenerator(Arb.long(), ChunkShrinker()) { values, _, _ ->155 Chunk.array(values.toTypedArray())156 }157 ).values(rs)158 }159fun Arb.Companion.doubleChunk(): Arb<Chunk<Double>> =160 object : Arb<Chunk<Double>>() {161 override fun edgecases(): List<Chunk<Double>> =162 listOf(Chunk.empty<Double>()) + Arb.double().edgecases().map { Chunk(it) }163 override fun values(rs: RandomSource): Sequence<Sample<Chunk<Double>>> =164 Arb.choice(165 arrayChunkGenerator(Arb.double(), ChunkShrinker()) { values, offset, length ->166 Chunk.doubles(values.toDoubleArray(), offset, length)167 },168 arrayChunkGenerator(Arb.double(), ChunkShrinker()) { values, _, _ ->169 Chunk.array(values.toTypedArray())170 }171 ).values(rs)172 }173fun Arb.Companion.floatChunk(): Arb<Chunk<Float>> =174 object : Arb<Chunk<Float>>() {175 override fun edgecases(): List<Chunk<Float>> =176 listOf(Chunk.empty<Float>()) + Arb.float().edgecases().map { Chunk(it) }177 override fun values(rs: RandomSource): Sequence<Sample<Chunk<Float>>> =178 Arb.choice(179 arrayChunkGenerator(Arb.float(), ChunkShrinker()) { values, offset, length ->180 Chunk.floats(values.toFloatArray(), offset, length)181 },182 arrayChunkGenerator(Arb.float(), ChunkShrinker()) { values, _, _ ->183 Chunk.array(values.toTypedArray())184 }185 ).values(rs)186 }187fun Arb.Companion.shortChunk(): Arb<Chunk<Short>> =188 object : Arb<Chunk<Short>>() {189 override fun edgecases(): List<Chunk<Short>> =190 listOf(Chunk.empty<Short>()) + Arb.short().edgecases().map { Chunk(it) }191 override fun values(rs: RandomSource): Sequence<Sample<Chunk<Short>>> =192 Arb.choice(193 arrayChunkGenerator(Arb.short(), ChunkShrinker()) { values, offset, length ->194 Chunk.shorts(values.toShortArray(), offset, length)195 },196 arrayChunkGenerator(Arb.short(), ChunkShrinker()) { values, _, _ ->197 Chunk.array(values.toTypedArray())198 }199 ).values(rs)200 }...

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StreamSpec.kt

Source:StreamSpec.kt Github

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1package arrow.fx.coroutines.stream2import arrow.fx.coroutines.ArrowFxSpec3import arrow.fx.coroutines.suspend4import io.kotest.property.Arb5import io.kotest.property.Shrinker6import io.kotest.property.arbitrary.arb7import io.kotest.property.arbitrary.bind8import io.kotest.property.arbitrary.choice9import io.kotest.property.arbitrary.choose10import io.kotest.property.arbitrary.constant11import io.kotest.property.arbitrary.list12import io.kotest.property.arbitrary.map13import kotlin.math.abs14/**15 * A Spec that allows you to specify depth for all `Arb` used inside the spec.16 *17 * A `Int.Range` of `0..10` is equivalent to `Arb.list` as where it generates `0..100` by default.18 *19 * `Stream` is randomly generated among it's constructors, but it guarantees a depth of maxmimum `10x range.last`.20 * So for `0..10` it will generate at most a `Stream` with `10` `Chunk`s of `10` elements.21 */22abstract class StreamSpec(23 iterations: Int = 350,24 val depth: IntRange = 0..100,25 spec: StreamSpec.() -> Unit = {}26) : ArrowFxSpec(iterations) {27 init {28 spec()29 }30 fun Arb.Companion.long(range: LongRange = Long.MIN_VALUE..Long.MAX_VALUE): Arb<Long> {31 val edgecases = listOf(0L, 1, -1, Long.MAX_VALUE, Long.MIN_VALUE).filter { it in range }32 return arb(LongShrinker(range), edgecases) { it.random.nextLong(range.first, range.last) }33 }34 class LongShrinker(private val range: LongRange) : Shrinker<Long> {35 override fun shrink(value: Long): List<Long> =36 when (value) {37 0L -> emptyList()38 1L, -1L -> listOf(0)39 else -> {40 val a = listOf(abs(value), value / 3, value / 2, value * 2 / 3)41 val b = (1..5L).map { value - it }.reversed().filter { it > 0 }42 (a + b).distinct().filter { it in range && it != value }43 }44 }45 }46 inline fun <reified O, R> Arb.Companion.pull(47 arbO: Arb<O>,48 arbR: Arb<R>,49 range: IntRange = depth50 ): Arb<Pull<O, R>> =51 Arb.choice<Pull<O, R>>(52 Arb.bind(Arb.stream(arbO, range), arbR) { s, r ->53 s.asPull().map { r }54 },55 arbR.map { Pull.just(it) } as Arb<Pull<O, R>>,56 arbR.map { Pull.effect { it } }57 )58 fun <O> Arb.Companion.stream(59 arb: Arb<O>,60 range: IntRange = depth61 ): Arb<Stream<O>> =62 Arb.choose(63 10 to Arb.list(arb, range).map { os ->64 Stream.iterable(os)65 },66 10 to Arb.list(arb, range).map { os ->67 Stream.iterable(os).unchunk()68 },69 5 to arb.map { fo -> Stream.effect { fo } },70 1 to Arb.bind(Arb.suspended(arb), Arb.list(arb, range), Arb.suspended(Arb.constant(Unit))) { acquire, use, release ->71 Stream.bracketCase(acquire, { _, _ -> release.invoke() }).flatMap { Stream.iterable(use) }72 }73 )74 fun <O> Arb.Companion.suspended(arb: Arb<O>): Arb<suspend () -> O> =75 arb.map { suspend { it.suspend() } }76}...

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ItemGens.kt

Source:ItemGens.kt Github

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1package dev.adamko.gildedrose.testdata2import com.gildedrose.Item3import dev.adamko.config.KotestConfig.Companion.intEdgecases4import dev.adamko.config.KotestConfig.Companion.mergeAll5import io.kotest.property.Arb6import io.kotest.property.Gen7import io.kotest.property.arbitrary.alphanumeric8import io.kotest.property.arbitrary.bind9import io.kotest.property.arbitrary.filterNot10import io.kotest.property.arbitrary.map11import io.kotest.property.arbitrary.string12import io.kotest.property.arbitrary.withEdgecases13import io.kotest.property.exhaustive.exhaustive14object ItemGens {15 object Names {16 val regular = Arb.string(10, Arb.alphanumeric()).withEdgecases(17 "+5 Dexterity Vest",18 "Elixir of the Mongoose",19 )20 val aged = listOf("Aged Brie").exhaustive()21 val tickets = listOf("Backstage passes to a TAFKAL80ETC concert").exhaustive()22 val legendary = listOf("Sulfuras, Hand of Ragnaros").exhaustive()23 val conjured = listOf(regular, aged, tickets, legendary).mergeAll().map { "Conjured $it" }24 val all = listOf(regular, aged, tickets, conjured, legendary).mergeAll()25 val nonLegendary = listOf(regular, aged, tickets, conjured).mergeAll()26 }27 object SellIn {28 /**29 * Edgecases for the minimum and maximum values, as well as some that30 * are centered around the expiration date of 0.31 */32 private val edgecases: List<Int> = (-2..2) + (Int.MAX_VALUE - 1) + (Int.MIN_VALUE + 1)33 // note- ignore integer overflow for now34 val nonExpired = Arb.intEdgecases(1, Int.MAX_VALUE - 1, edgecases)35 val expired = Arb.intEdgecases(Int.MIN_VALUE + 1, 0, edgecases)36 val any = Arb.intEdgecases(Int.MIN_VALUE + 1 until Int.MAX_VALUE, edgecases)37 }38 object Quality {39 val regularValidRange = 0..5040 /** Some additional edgecases around the min/max quality range */41 private val edgecases: List<Int> =42 regularValidRange.first.let { (it - 3)..(it + 3) } +43 regularValidRange.last.let { (it - 3)..(it + 3) }44 val any = Arb.intEdgecases(Int.MIN_VALUE + 1 until Int.MAX_VALUE, edgecases)45 val validRegular = Arb.intEdgecases(regularValidRange, edgecases)46 // note- ignore integer overflow for now47 val invalidRegular = any.filterNot { it in regularValidRange }48 }49 object Binds {50 fun itemArb(51 nameGen: Gen<String> = Names.all,52 sellInGen: Gen<Int> = SellIn.any,53 qualityGen: Gen<Int> = Quality.any,54 ) = Arb.bind(nameGen, sellInGen, qualityGen) { name, sellIn, quality ->55 Item(name, sellIn, quality)56 }57 }58}...

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KotestConfig.kt

Source:KotestConfig.kt Github

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1package dev.adamko.config2import io.kotest.core.config.AbstractProjectConfig3import io.kotest.core.listeners.Listener4import io.kotest.extensions.htmlreporter.HtmlReporter5import io.kotest.extensions.junitxml.JunitXmlReporter6import io.kotest.property.Arb7import io.kotest.property.Exhaustive8import io.kotest.property.Gen9import io.kotest.property.arbitrary.IntShrinker10import io.kotest.property.arbitrary.arbitrary11import io.kotest.property.arbitrary.int12import io.kotest.property.arbitrary.merge13import kotlin.random.nextInt14class KotestConfig : AbstractProjectConfig() {15 override fun listeners(): List<Listener> = listOf(16 JunitXmlReporter(17 includeContainers = false,18 useTestPathAsName = true,19 ),20 HtmlReporter("reports/kotest")21 )22 companion object {23 inline fun <A, reified B : A> List<Gen<B>>.mergeAll(): Arb<A> =24 map { it.toArb() }25 .reduce { acc, gen -> acc.apply { merge(gen) } }26 inline fun <reified T> Gen<T>.toArb() = when (this) {27 is Arb<T> -> this28 is Exhaustive<T> -> toArb()29 }30 fun Arb.Companion.intEdgecases(31 min: Int = Int.MIN_VALUE,32 max: Int = Int.MAX_VALUE,33 additionalEdgecases: List<Int> = emptyList(),34 ) = Arb.intEdgecases(min..max, additionalEdgecases)35 /** Helper method to initialise a [Arb.Companion.int] with some edgecases. */36 fun Arb.Companion.intEdgecases(37 range: IntRange = Int.MIN_VALUE..Int.MAX_VALUE,38 additionalEdgecases: List<Int> = emptyList(),39 ): Arb<Int> {40 val edgecases =41 (42 listOf(-1, 0, 1, range.first, range.last, Int.MIN_VALUE, Int.MAX_VALUE) +43 additionalEdgecases44 ).filter { it in range }45 return arbitrary(edgecases, IntShrinker(range)) { it.random.nextInt(range) }46 }47 }48}...

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PulsarUrnTest.kt

Source:PulsarUrnTest.kt Github

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1package com.octaldata.session.pulsar2import com.octaldata.domain.topics.TopicName3import com.octaldata.domain.structure.DataRecordUrn4import io.kotest.core.spec.style.FunSpec5import io.kotest.matchers.shouldBe6import io.kotest.property.Arb7import io.kotest.property.arbitrary.positiveInt8import io.kotest.property.arbitrary.positiveLong9import io.kotest.property.arbitrary.string10import io.kotest.property.arbitrary.withEdgecases11import io.kotest.property.checkAll12class PulsarUrnTest : FunSpec({13 test("parse urn") {14 checkAll(15 100,16 Arb.string(1, 100),17 Arb.positiveInt().withEdgecases(-1),18 Arb.positiveLong().withEdgecases(-1),19 Arb.positiveLong().withEdgecases(-1),20 ) { topic, part, ledge, entryId ->21 parseUrn(DataRecordUrn("urn:pulsar:$topic:$part:$ledge:$entryId")).getOrThrow() shouldBe22 MessageIdentifier(TopicName(topic), part, ledge, entryId)23 }24 }25})...

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MD5Test.kt

Source:MD5Test.kt Github

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1package com.github.durun.nitron.core2import io.kotest.core.spec.style.FreeSpec3import io.kotest.matchers.shouldBe4import io.kotest.property.Arb5import io.kotest.property.arbitrary.edgecases6import io.kotest.property.arbitrary.string7class MD5Test : FreeSpec({8 "toString" {9 val testData = Arb.string().edgecases() + listOf("hogehoge")10 testData.forEach {11 val md5 = MD5.digest("hogehoge")12 println(md5.toString())13 println(md5.toStringOld())14 md5.toString() shouldBe md5.toStringOld()15 }16 }17})18private fun MD5.toStringOld(): String = String.format(19 "%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x",20 bytes[0], bytes[1], bytes[2], bytes[3], bytes[4], bytes[5], bytes[6], bytes[7],21 bytes[8], bytes[9], bytes[10], bytes[11], bytes[12], bytes[13], bytes[14], bytes[15]22)...

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RemoteDataGen.kt

Source:RemoteDataGen.kt Github

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1package com.github.torresmi.remotedata.test.util.generation2import com.github.torresmi.remotedata.RemoteData3import io.kotest.property.Arb4import io.kotest.property.arbitrary.choice5import io.kotest.property.arbitrary.map6import io.kotest.property.arbitrary.next7fun <E : Any, A : Any> Arb.Companion.remoteData(failureGen: Arb<E>, successGen: Arb<A>) = Arb.choice(8 successGen.map { RemoteData.succeed(it) },9 failureGen.map { RemoteData.fail(it) }10).plusEdgecases(11 RemoteData.NotAsked,12 RemoteData.Loading,13 RemoteData.succeed(successGen.next()),14 RemoteData.fail(failureGen.next())15)16fun <E : Any> Arb.Companion.remoteDataNonSuccess(failureGen: Arb<E>) = failureGen.map { RemoteData.fail(it) }17 .plusEdgecases(18 RemoteData.NotAsked,19 RemoteData.Loading20 )...

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Arbs.kt

Source:Arbs.kt Github

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1package com.github.torresmi.remotedata.test.util.generation2import io.kotest.property.Arb3import io.kotest.property.arbitrary.arb4fun <A> Arb<A>.plusEdgecases(vararg edgecases: A): Arb<A> = arb(this.edgecases().plus(edgecases)) { rs ->5 generate(rs).map { it.value }6}...

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Arb.edgecases

Using AI Code Generation

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1 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))2 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))3 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))4 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))5 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))6 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))7 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))8 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))9 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))10 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))11 val arb = Arb.edgecases(listOf(1, 2, 3, 4, 5))

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Arb.edgecases

Using AI Code Generation

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1val arb = Arb . edgecases ( "foo" , "bar" , "baz" ) . map { it . length }2val prop = forAll ( arb ) { it == 3 }3val arb = Arb . edgecases ( "foo" , "bar" , "baz" ) . map { it . length }4val prop = forAll ( arb ) { it == 3 }5val arb = Arb . edgecases ( "foo" , "bar" , "baz" ) . map { it . length }6val prop = forAll ( arb ) { it == 3 }7val arb = Arb . edgecases ( "foo" , "bar" , "baz" ) . map { it . length }8val prop = forAll ( arb ) { it == 3 }9val arb = Arb . edgecases ( "foo" , "bar" , "baz" ) . map { it . length }10val prop = forAll ( arb ) { it == 3 }11val arb = Arb . edgecases ( "foo" , "bar" , "baz" ) . map { it . length }12val prop = forAll ( arb ) { it == 3 }13val arb = Arb . edgecases ( "foo

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Arb.edgecases

Using AI Code Generation

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1val arb = Arb.edgecases("a", "b", "c", "d")2val sample = arb.take(100).asSequence().toList()3val sample = arb.random()4val arb = Arb.int()5val sample = arb.take(100).asSequence().toList()6val sample = arb.random()7val arb = Arb.long()8val sample = arb.take(100).asSequence().toList()9val sample = arb.random()10val arb = Arb.double()11val sample = arb.take(100).asSequence().toList()12val sample = arb.random()13val arb = Arb.float()14val sample = arb.take(100).asSequence().toList()15val sample = arb.random()16val arb = Arb.char()17val sample = arb.take(100).asSequence().toList()18val sample = arb.random()19val arb = Arb.short()20val sample = arb.take(100).asSequence().toList()21val sample = arb.random()22val arb = Arb.byte()

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