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How to use sample method of io.kotest.property.arbitrary.map class

Best Kotest code snippet using io.kotest.property.arbitrary.map.sample

InterceptablePrintStreamProperty.kt

Source:InterceptablePrintStreamProperty.kt

...63                val charSequenceGenerator = Arb.string()64                val charGenerator = Arb.char()65                val byteArrayGenerator = Arb.string().map { it.toByteArray() }66                val charArrayGenerator = Arb.string().map { it.toCharArray() }67                val booleanValue = booleanGenerator.sample(rs).value68                val intValue = intGenerator.sample(rs).value69                val doubleValue = doubleGenerator.sample(rs).value70                val longValue = longGenerator.sample(rs).value71                val floatValue = floatGenerator.sample(rs).value72                val stringValue = stringGenerator.sample(rs).value73                val charSequenceValue = charSequenceGenerator.sample(rs).value74                val charValue = charGenerator.sample(rs).value75                val byteArrayValue = byteArrayGenerator.sample(rs).value76                val charArrayValue = charArrayGenerator.sample(rs).value77                val objectValue = Object()78                val result: PrintStreamAction =79                    when (actionNameGenerator.sample(rs).value) {80                        PrintStreamActionName.PRINT_INT ->81                            PrintStreamAction("print int $intValue") { print(intValue) }82                        PrintStreamActionName.PRINT_DOUBLE ->83                            PrintStreamAction("print double $doubleValue") { print(doubleValue) }84                        PrintStreamActionName.PRINT_LONG ->85                            PrintStreamAction("print long $longValue") { print(longValue) }86                        PRINT_FLOAT ->87                            PrintStreamAction("print float $floatValue") { print(floatValue) }88                        PRINT_STRING ->89                            PrintStreamAction("print string $stringValue") { print(stringValue) }90                        PRINT_BOOLEAN ->91                            PrintStreamAction("print boolean $booleanValue") { print(booleanValue) }92                        PRINT_OBJECT -> PrintStreamAction("print object") { print(objectValue) }93                        WRITE_INT -> PrintStreamAction("write int $intValue") { write(intValue) }94                        WRITE_BYTE_ARRAY ->95                            PrintStreamAction("write byte array $byteArrayValue") {96                                write(byteArrayValue)97                            }98                        WRITE_BYTE_ARRAY_WITH_OFFSETS ->99                            PrintStreamAction("write byte array $byteArrayValue with offsets") {100                                write(byteArrayValue, 0, byteArrayValue.size)101                            }102                        PRINTLN_INT ->103                            PrintStreamAction("println int $intValue") { println(intValue) }104                        PRINTLN_DOUBLE ->105                            PrintStreamAction("println double $doubleValue") {106                                println(doubleValue)107                            }108                        PRINTLN_LONG ->109                            PrintStreamAction("println long $longValue") { println(longValue) }110                        PRINTLN_FLOAT ->111                            PrintStreamAction("println float $floatValue") { println(floatValue) }112                        PRINTLN_STRING ->113                            PrintStreamAction("println string $stringValue") {114                                println(stringValue)115                            }116                        PRINTLN_BOOLEAN ->117                            PrintStreamAction("println boolean $booleanValue") {118                                println(booleanValue)119                            }120                        PRINTLN_CHAR_ARRAY ->121                            PrintStreamAction("println char array $charArrayValue") {122                                println(charArrayValue)123                            }124                        PRINTLN_OBJECT ->125                            PrintStreamAction("println object") { println(objectValue) }126                        APPEND_CHAR ->127                            PrintStreamAction("append char $charValue") { append(charValue) }128                        APPEND_CHAR_SEQUENCE ->129                            PrintStreamAction("append char sequence $charSequenceValue") {130                                append(charSequenceValue)131                            }132                        APPEND_CHAR_SEQUENCE_WITH_RANGE ->133                            PrintStreamAction("append char sequence $charSequenceValue with range")134                                { append(charSequenceValue, 0, charSequenceValue.length) }135                        FORMAT ->136                            PrintStreamAction("format int $intValue") { format("%d", intValue) }137                        PrintStreamActionName.PRINTF ->138                            PrintStreamAction("printf int $intValue") { printf("%d", intValue) }139                        CHECK_ERROR -> PrintStreamAction("check error") { checkError() }140                        FLUSH -> PrintStreamAction("flush") { flush() }141                        CLOSE -> PrintStreamAction("close") { close() }142                    }143                result144            }145        val arbActions: Arb<PrintStreamActions> =146            arbitrary { rs ->147                val numberOfActions = rs.random.nextInt(0, 8)148                val actions = arbAction.samples(rs).take(numberOfActions).map { it.value }.toList()149                PrintStreamActions(actions)150            }151        "actions are transparent" - {152            checkAll(arbActions) { actions -> compareResultsOf(actions) }153        }154    }155    private enum class PrintStreamActionName {156        PRINT_INT,157        PRINT_DOUBLE,158        PRINT_LONG,159        PRINT_FLOAT,160        PRINT_STRING,161        PRINT_BOOLEAN,162        PRINT_OBJECT,...

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  }...

EntitySerializerTest.kt

Source:EntitySerializerTest.kt

1/*Copyright 2021 Mecharex Kft.2This file is part of the logikaldb library.3The logikaldb library is free software: you can redistribute it and/or modify4it under the terms of the GNU Lesser General Public License as published by5the Free Software Foundation, either version 3 of the License, or6(at your option) any later version.7The logikaldb library is distributed in the hope that it will be useful,8but WITHOUT ANY WARRANTY; without even the implied warranty of9MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the10GNU Lesser General Public License for more details.11You should have received a copy of the GNU Lesser General Public License12along with the logikaldb library. If not, see <http://www.gnu.org/licenses/>.*/13package com.logikaldb.serializer14import com.logikaldb.entity.AndEntity15import com.logikaldb.entity.ConstraintEntity16import com.logikaldb.entity.ConstraintFunEntity17import com.logikaldb.entity.EqualEntity18import com.logikaldb.entity.FieldEntity19import com.logikaldb.entity.OrEntity20import com.logikaldb.entity.ValueEntity21import com.logikaldb.logikal.Logikal.equal22import io.kotest.core.spec.style.StringSpec23import io.kotest.property.Arb24import io.kotest.property.RandomSource25import io.kotest.property.Sample26import io.kotest.property.arbitrary.arb27import io.kotest.property.arbitrary.double28import io.kotest.property.arbitrary.int29import io.kotest.property.arbitrary.list30import io.kotest.property.arbitrary.map31import io.kotest.property.arbitrary.string32import io.kotest.property.forAll33class EntitySerializerTest : StringSpec({34    val underTest = EntitySerializer()35    fun createEqualEntity(randomPair: Pair<Sample<String>, Sample<Any>>): EqualEntity {36        return EqualEntity(FieldEntity(randomPair.first.value, String::class.java), ValueEntity(randomPair.second.value))37    }38    fun anyRandomValues(randomSource: RandomSource): Sequence<Sample<Any>> {39        val randomStrings = Arb.string().values(randomSource)40        val randomIntegers = Arb.int().values(randomSource)41        val randomDoubles = Arb.double().values(randomSource)42        return randomStrings + randomIntegers + randomDoubles43    }44    "A serialized and deserialized EqualEntity must be the same as the original entity" {45        val equalConstraintEntityArb = arb { randomSource ->46            val randomFields = Arb.string().values(randomSource)47            val randomValues = anyRandomValues(randomSource)48            randomFields.zip(randomValues)49                .map(::createEqualEntity)50                .map { ConstraintEntity(it) }51        }52        forAll(equalConstraintEntityArb) { equalConstraintEntity ->53            underTest.deserialize(underTest.serialize(equalConstraintEntity)) == equalConstraintEntity54        }55    }56    "A serialized and deserialized ConstraintEntity is not the same when the constraint fun is defined" {57        val constraintConstraintEntityArb = arb { randomSource ->58            val randomConstraints = Arb.string().values(randomSource)59            val randomParameters = Arb.list(Arb.string())60                .map { parameterNames -> parameterNames.map { FieldEntity(it, String::class.java) } }61                .values(randomSource)62            randomConstraints.zip(randomParameters)63                .map { ConstraintFunEntity(equal(1, 1)) }64                .map { ConstraintEntity(it) }65        }66        forAll(constraintConstraintEntityArb) { constraintConstraintEntity ->67            val convertedConstraintConstraintEntity = underTest.deserialize(underTest.serialize(constraintConstraintEntity))68            convertedConstraintConstraintEntity != constraintConstraintEntity69        }70    }71    "A serialized and deserialized AndEntity must be the same as the original entity" {72        val equalEntityArb = arb { randomSource ->73            val randomFields = Arb.string().values(randomSource)74            val randomValues = anyRandomValues(randomSource)75            randomFields.zip(randomValues)76                .map(::createEqualEntity)77        }78        val andConstraintEntityArb = arb { randomSource ->79            Arb.list(equalEntityArb, IntRange(0, 100)).values(randomSource)80                .map { AndEntity(it.value) }81                .map { ConstraintEntity(it) }82        }83        forAll(andConstraintEntityArb) { andConstraintEntity ->84            underTest.deserialize(underTest.serialize(andConstraintEntity)) == andConstraintEntity85        }86    }87    "A serialized and deserialized OrEntity must be the same as the original entity" {88        val equalEntityArb = arb { randomSource ->89            val randomFields = Arb.string().values(randomSource)90            val randomValues = anyRandomValues(randomSource)91            randomFields.zip(randomValues)92                .map(::createEqualEntity)93        }94        val orConstraintEntityArb = arb { randomSource ->95            Arb.list(equalEntityArb, IntRange(0, 100)).values(randomSource)96                .map { OrEntity(it.value) }97                .map { ConstraintEntity(it) }98        }99        forAll(orConstraintEntityArb) { orConstraintEntity ->100            underTest.deserialize(underTest.serialize(orConstraintEntity)) == orConstraintEntity101        }102    }103})...

BatchMigrationGenerator.kt

Source:BatchMigrationGenerator.kt

...45        val mig = validMigrationGenerator.next(rs)46        mig.sleepTime = Arb.long(0L, 10000L).orNull().next(rs)47        mig48    }49    val sampleMigrationGenerator = arbitrary { rs: RandomSource ->50        val change = BatchMigrationChange()51        change.tableName = identifierGen(1).orNull().next(rs)52        change.chunkSize = Arb.long(-100L, 10000L).orNull().next(rs)53        val upperBound = Arb.int(0, 5).next(rs)54        val minBound = Arb.int(0, 5).filter { it <= upperBound }.next(rs)55        change.fromColumns = fixedColumnStringSequenceGenerator(minBound, upperBound).orNull().next(rs)56        change.toColumns = fixedColumnStringSequenceGenerator(minBound, upperBound).orNull().next(rs)57        change.sleepTime = Arb.long(-100L, 10000L).orNull().next(rs)58        change59    }60    val invalidMigrationGenerator = sampleMigrationGenerator.filter { c: BatchMigrationChange ->61        val simplePredicate = c.fromColumns.isNullOrEmpty() ||62            c.toColumns.isNullOrEmpty() || (c.chunkSize ?: -1L) <= 0L || c.sleepTime?.let { it < 0L } ?: false63        if (simplePredicate) return@filter true64        else {65            val from = c.fromColumns!!.split(",")66            val to = c.toColumns!!.split(",").toSet()67            // check whether from and to columns are equal somewhere or crossing68            // check whether any to column is in primary keys69            from.size != to.size || from.any { it in to }70        }71    }72    private fun List<String>.toColumnList(): String = joinToString(separator = ",") { it }73    private val fixedColumnListGenerator = { lowerBound: Int, inclusiveUpperBound: Int ->74        Arb.list(identifierGen(1), IntRange(lowerBound, inclusiveUpperBound))...

TobogganTrajectoryTest.kt

Source:TobogganTrajectoryTest.kt

1import io.kotest.core.spec.style.DescribeSpec2import io.kotest.matchers.shouldBe3import io.kotest.property.Arb4import io.kotest.property.arbitrary.list5import io.kotest.property.arbitrary.map6import io.kotest.property.arbitrary.positiveInts7import io.kotest.property.arbitrary.stringPattern8import io.kotest.property.checkAll9import java.io.File10class TobogganTrajectoryTest : DescribeSpec({11    val t = TobogganTrajectory()12    describe("Toboggan Trajectory") {13        context("Sample input") {14            val input: List<String> = File("input.txt").readLines()15            val actual = t.tobogganTrajectory(input)16            actual shouldBe 20717        }18        context("Grid of no trees") {19            it("Returns 0") {20                checkAll(Arb.positiveInts(100).map { (".".repeat(it) + "\n").repeat(it) }) { g ->21                    t.tobogganTrajectory(g.split("\n").dropLast(1)) shouldBe 022                }23            }24        }25        context("Grid of only trees") {26            it("Returns height of grid") {27                checkAll(Arb.positiveInts(100).map { ("#".repeat(it) + "\n").repeat(it) }) { g ->28                    val grid = g.split("\n").dropLast(1)29                    t.tobogganTrajectory(grid) shouldBe grid.size30                }31            }32        }33        context("Vertical grid") {34            it("Returns number of trees in the entire grid") {35                checkAll(Arb.list(Arb.stringPattern("[.#]"))) { g ->36                    t.tobogganTrajectory(g) shouldBe g.count { l -> l == "#" }37                }38            }39        }40    }41    describe("Toboggan Trajectory 2") {42        context("Sample test") {43            val input: List<String> = File("input.txt").readLines()44            val actual = t.tobogganTrajectory2(input)45            actual shouldBe 265589280046        }47        context("Grid of no trees") {48            it("Returns 0") {49                checkAll(Arb.positiveInts(100).map { (".".repeat(it) + "\n").repeat(it) }) { g ->50                    t.tobogganTrajectory2(g.split("\n").dropLast(1)) shouldBe 051                }52            }53        }54        context("Grid of only trees") {55            it("Returns height of grid") {56                checkAll(Arb.positiveInts(100).map { ("#".repeat(it) + "\n").repeat(it) }) { g ->57                    val grid = g.split("\n").dropLast(1)58                    t.tobogganTrajectory2(grid) shouldBe (Math.pow(grid.size.toDouble(), 4.0) * Math.ceil(grid.size / 2.0)).toLong()59                }60            }61        }62    }63})...

identifierGenerator.kt

Source:identifierGenerator.kt

...25import kotlinx.collections.immutable.toPersistentList26internal fun Arb.Companion.semVerIdentifier(minParts: Int = 1, maxParts: Int): Arb<Pair<PersistentList<Identifier>, String>> =27    object : Arb<Pair<PersistentList<Identifier>, String>>() {28        override fun edgecase(rs: RandomSource): Pair<PersistentList<Identifier>, String>? = null29        override fun sample(rs: RandomSource): Sample<Pair<PersistentList<Identifier>, String>> {30            // I don't really know what a sensible maxSize would be, even 100 feels a bit large for a semver identifier31            // the system should be able to handle identifiers of any size (as long as the final string isn't larger32            // than what is supported by the JVM)33            val stringArb = Arb.string(minSize = 1, maxSize = 100, codepoints = Codepoint.semVerIdentifier())34            val sequenceSize = rs.random.nextInt(minParts, maxParts + 1)35            val identifiers = stringArb.samples(rs)36                .take(sequenceSize)37                .map { it.value }38                .map { Identifier.of(it) }39                .toPersistentList()40            val identifierTextSequence = identifiers.joinToString(separator = ".")41            return Sample(identifiers to identifierTextSequence)42        }43    }44internal fun Codepoint.Companion.semVerIdentifier(): Arb<Codepoint> =45    Arb.element((('a'..'z') + ('A'..'Z') + ('0'..'9') + '-').toList()).map { Codepoint(it.code) }...

EvalJvmTest.kt

Source:EvalJvmTest.kt

...52      step(0, leaf, mutableListOf())53    }54    val gen = arbitrary { rs ->55      val leaf = { Eval.Now(0) }56      val eval = build(leaf, O.gen.samples().map(Sample<O>::value).take(maxDepth).toList())57      DeepEval(eval)58    }59  }60}...

gen.kt

Source:gen.kt

...6	require(1 <= tokenTypes)7	require(1 <= ruleTypes)8	return arbitrary { rs ->9		val names = string(minSize = 1, maxSize = 15)10				.samples(rs)11				.distinct()12				.take(tokenTypes + ruleTypes)13				.mapIndexed { index, it -> index to it.value }14				.toList()15		val tokens = names.takeLast(tokenTypes).map { (index, name) -> TokenType(index, name) }16		val rules = names.take(ruleTypes).map { (index, name) -> RuleType(index, name) }17		NodeTypePool.of(18				grammarName = string(minSize = 1, maxSize = 10).sample(rs).value,19				tokenTypes = tokens,20				ruleTypes = rules21		)22	}23}...

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