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How to use Arb.Companion.short method of io.kotest.property.arbitrary.shorts class

Best Kotest code snippet using io.kotest.property.arbitrary.shorts.Arb.Companion.short

Arb.kt

Source:Arb.kt

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  }...

Exhaustive.kt

Source:Exhaustive.kt

1package utils2import io.kotest.property.Arb3import io.kotest.property.Exhaustive4import io.kotest.property.Gen5import io.kotest.property.RandomSource6import io.kotest.property.arbitrary.byte7import io.kotest.property.arbitrary.next8import io.kotest.property.exhaustive.exhaustive9import io.kotest.property.exhaustive.filter10import io.kotest.property.exhaustive.ints11import io.kotest.property.exhaustive.map12fun <N : Number> Exhaustive<N>.toInt() = map { it.toInt() }13fun <N : Number> Exhaustive<N>.toShort() = map { it.toShort() }14fun Exhaustive.Companion.shorts(min: Short = Short.MIN_VALUE, max: Short = Short.MAX_VALUE) =15    Exhaustive.ints(min..max).map { it.toShort() }16fun Exhaustive.Companion.ubytes(min: UByte = UByte.MIN_VALUE, max: UByte = UByte.MAX_VALUE): Exhaustive<UByte> =17    Exhaustive.ints(min.toInt()..max.toInt()).map { it.toUByte() }18fun Exhaustive.Companion.ushorts(min: UShort = UShort.MIN_VALUE, max: UShort = UShort.MAX_VALUE): Exhaustive<UShort>  =19    Exhaustive.ints(min.toInt()..max.toInt()).map { it.toUShort() }20fun Exhaustive.Companion.byteArrays(length: IntRange, byte: Gen<Byte> = Arb.byte()): Exhaustive<ByteArray> {21    val generator = byte.generate(RandomSource.Default).iterator()22    return length.map { ByteArray(it) { generator.next().value } }.exhaustive()23}24operator fun <A> Exhaustive<A>.minus(other: Exhaustive<A>) =25    filter { it !in other.values }26inline fun <reified T> Exhaustive.Companion.arrayOf(value: Arb<T>, length: IntRange): Exhaustive<Array<T>> {27    return length.map { Array(it) { value.next() } }.exhaustive()28}...

Arb.Companion.short

Using AI Code Generation

1    companion object {2        fun short(min: Short = Short.MIN_VALUE, max: Short = Short.MAX_VALUE): Arb<Short> =3            Arb.int(min.toInt(), max.toInt()).map { it.toShort() }4    }5}6    companion object {7        fun int(min: Int = Int.MIN_VALUE, max: Int = Int.MAX_VALUE): Arb<Int> =8            Arb.long(min.toLong(), max.toLong()).map { it.toInt() }9    }10}11    companion object {12        fun long(min: Long = Long.MIN_VALUE, max: Long = Long.MAX_VALUE): Arb<Long> =13            Arb.choose(min, max)14    }15}16    companion object {17        fun float(min: Float = Float.MIN_VALUE, max: Float = Float.MAX_VALUE): Arb<Float> =18            Arb.double(min.toDouble(), max.toDouble()).map { it.toFloat() }19    }20}21    companion object {22        fun double(min: Double = Double.MIN_VALUE, max: Double = Double.MAX_VALUE): Arb<Double> =23            Arb.choose(min, max)24    }25}26    companion object {27        fun char(min: Char = Char.MIN_VALUE, max: Char = Char.MAX_VALUE): Arb<Char> =28            Arb.int(min.toInt(), max.toInt()).map { it.toChar() }29    }30}31    companion object {32        fun string(minSize: Int = 0, maxSize: Int = 100, charset: Charset = Charsets.UTF_8): Arb<String> =33            Arb.int(minSize, maxSize).flatMap { size ->34                Arb.list(Arb.choose(charset)).map { it.take(size).joinToString("") }35            }36    }37}38    companion object {39        fun <T> list(arb: Arb<T>, minSize: Int =

Arb.Companion.short

Using AI Code Generation

1fun Arb.Companion.periods(): Arb<Period> = ints(0..Int.MAX_VALUE).map { Period.ofDays(it) }2fun Arb.Companion.durations(): Arb<Duration> = longs().map { Duration.ofNanos(it) }3fun Arb.Companion.durations(min: Duration, max: Duration): Arb<Duration> = longs(min.toNanos()..max.toNanos()).map { Duration.ofNanos(it) }4fun Arb.Companion.durations(range: LongRange): Arb<Duration> = longs(range).map { Duration.ofNanos(it) }5fun Arb.Companion.durations(min: Long, max: Long): Arb<Duration> = longs(min..max).map { Duration.ofNanos(it) }6fun Arb.Companion.durations(min: Duration, max: Long): Arb<Duration> = longs(min.toNanos()..max).map { Duration.ofNanos(it) }7fun Arb.Companion.durations(min: Long, max: Duration): Arb<Duration> = longs(min..max.toNanos()).map { Duration.ofNanos(it) }8fun Arb.Companion.durations(range: LongRange, unit: DurationUnit): Arb<Duration> = longs(range).map { Duration.of(it, unit) }

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