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How to use Arb.Companion.negativeDoubles method of io.kotest.property.arbitrary.doubles class

Best Kotest code snippet using io.kotest.property.arbitrary.doubles.Arb.Companion.negativeDoubles

doubles.kt

Source:doubles.kt

1package io.kotest.property.arbitrary2import io.kotest.property.Arb3import io.kotest.property.Gen4import io.kotest.property.Shrinker5import kotlin.math.absoluteValue6private val numericEdgeCases = listOf(-1.0, -Double.MIN_VALUE, -0.0, 0.0, Double.MIN_VALUE, 1.0)7private val nonFiniteEdgeCases = listOf(Double.NEGATIVE_INFINITY, Double.NaN, Double.POSITIVE_INFINITY)8object DoubleShrinker : Shrinker<Double> {9   private val pattern = Regex("""([+-]|)([0-9]*)(\.[0-9]*|)(e[+-]?[0-9]+|)""", RegexOption.IGNORE_CASE)10   override fun shrink(value: Double): List<Double> =11      if (value == 0.0 || !value.isFinite() || value.absoluteValue < 10 * Double.MIN_VALUE)12         emptyList()13      else14         listOfNotNull(shrink(value.toString())?.toDouble())15   fun shrink(value: String): String? {16      val matches = pattern.matchEntire(value) ?: return null17      val parts = matches.groupValues.drop(1)18      val (signPart, intPart, fracPart_, expPart) = parts19      val fracPart = fracPart_.trimEnd { it == '0' }20      val numberPart = if (fracPart.isNotEmpty() && fracPart.last().isDigit()) {21         "$intPart${fracPart.dropLast(1)}"22      } else {23         val length = intPart.length24         val index = intPart.indexOfLast { it != '0' }.let { if (it == -1) length else it }25         if (index == 0) {26            return null27         }28         val head = intPart.take(index)29         val tail = intPart.takeLast(length - index - 1)30         "${head}0$tail"31      }32      return "$signPart$numberPart$expPart"33   }34}35/**36 * Returns an [Arb] that produces [Double]s from [min] to [max] (inclusive).37 * The edge cases are [Double.NEGATIVE_INFINITY], [min], -1.0, -[Double.MIN_VALUE], -0.0, 0.0, [Double.MIN_VALUE], 1.0,38 * [max], [Double.POSITIVE_INFINITY] and [Double.NaN].39 *40 * Only values in the provided range are included.41 *42 * @see numericDouble to only produce numeric [Double]s43 */44fun Arb.Companion.double(45   min: Double = -Double.MAX_VALUE,46   max: Double = Double.MAX_VALUE47): Arb<Double> = double(min..max)48/**49 * Returns an [Arb] that produces [Double]s in [range].50 * The edge cases are [Double.NEGATIVE_INFINITY], [ClosedFloatingPointRange.start], -1.0, -[Double.MIN_VALUE], -0.0,51 * 0.0, [Double.MIN_VALUE], 1.0, [ClosedFloatingPointRange.endInclusive], [Double.POSITIVE_INFINITY] and [Double.NaN]52 * which are only included if they are in the provided range.53 */54fun Arb.Companion.double(55   range: ClosedFloatingPointRange<Double> = -Double.MAX_VALUE..Double.MAX_VALUE56): Arb<Double> = arbitrary(57   (numericEdgeCases.filter { it in range } + nonFiniteEdgeCases  + listOf(range.start, range.endInclusive)).distinct(),58   DoubleShrinker59) {60   it.random.nextDouble(range.start, range.endInclusive)61}62/**63 * Returns an [Arb] that produces positive [Double]s from [Double.MIN_VALUE] to [max] (inclusive).64 * The edge cases are [Double.MIN_VALUE], 1.0, [max] and [Double.POSITIVE_INFINITY] which are only included if they are65 * in the provided range.66 */67fun Arb.Companion.positiveDouble(max: Double = Double.MAX_VALUE): Arb<Double> = double(Double.MIN_VALUE, max)68@Deprecated("use positiveDouble. Deprecated in 5.0.", ReplaceWith("positiveDouble()"))69fun Arb.Companion.positiveDoubles(): Arb<Double> = positiveDouble()70/**71 * Returns an [Arb] that produces negative [Double]s from [min] to -[Double.MIN_VALUE] (inclusive).72 * The edge cases are [Double.NEGATIVE_INFINITY], [min], -1.0 and -[Double.MIN_VALUE] which are only included if they73 * are in the provided range.74 */75fun Arb.Companion.negativeDouble(min: Double = -Double.MAX_VALUE): Arb<Double> = double(min, -Double.MIN_VALUE)76@Deprecated("use negativeDouble. Deprecated in 5.0.", ReplaceWith("negativeDouble()"))77fun Arb.Companion.negativeDoubles(): Arb<Double> = negativeDouble()78/**79 * Returns an [Arb] that produces numeric [Double]s from [min] to [max] (inclusive).80 * The edge cases are [min], -1.0, -[Double.MIN_VALUE], -0.0, 0.0, [Double.MIN_VALUE], 1.0 and [max] which are only81 * included if they are in the provided range.82 *83 * @see double to also have non-numeric [Double]s as edge cases.84 */85fun Arb.Companion.numericDouble(86   min: Double = -Double.MAX_VALUE,87   max: Double = Double.MAX_VALUE88): Arb<Double> = arbitrary(89   (numericEdgeCases.filter { it in (min..max) } + listOf(min, max)).distinct(), DoubleShrinker90) { it.random.nextDouble(min, max) }91@Deprecated("use numericDouble. Deprecated in 5.0.", ReplaceWith("numericDouble(from, to)"))92fun Arb.Companion.numericDoubles(from: Double = -Double.MAX_VALUE, to: Double = Double.MAX_VALUE): Arb<Double> =93   numericDouble(from, to)94/**95 * Returns an [Arb] that produces [DoubleArray]s where [length] produces the length of the arrays and96 * [content] produces the content of the arrays.97 */98fun Arb.Companion.doubleArray(length: Gen<Int>, content: Arb<Double>): Arb<DoubleArray> =99   toPrimitiveArray(length, content, Collection<Double>::toDoubleArray)...

Arb.Companion.negativeDoubles

Using AI Code Generation

1    val arb = Arb.negativeDoubles()2    val arb = Arb.negativeDoubles()3    val arb = Arb.negativeDoubles()4    val arb = Arb.negativeDoubles()5    val arb = Arb.negativeDoubles()6    val arb = Arb.negativeDoubles()7    val arb = Arb.negativeDoubles()8    val arb = Arb.negativeDoubles()9    val arb = Arb.negativeDoubles()10    val arb = Arb.negativeDoubles()11    val arb = Arb.negativeDoubles()12    val arb = Arb.negativeDoubles()13    val arb = Arb.negativeDoubles()14    val arb = Arb.negativeDoubles()

Arb.Companion.negativeDoubles

Using AI Code Generation

1    fun `should generate negative doubles`() {2        Arb.negativeDoubles().checkAll {3        }4    }5    fun `should generate positive doubles`() {6        Arb.positiveDoubles().checkAll {7        }8    }9    fun `should generate doubles`() {10        Arb.doubles().checkAll {11        }12    }13    fun `should generate doubles between 0 and 1`() {14        Arb.doubles(0.0, 1.0).checkAll {15        }16    }17    fun `should generate doubles between 1 and 10`() {18        Arb.doubles(1.0, 10.0).checkAll {19        }20    }21    fun `should generate doubles between -10 and -1`() {22        Arb.doubles(-10.0, -1.0).checkAll {23        }24    }25    fun `should generate doubles between -1 and 0`() {26        Arb.doubles(-1.0, 0.0).checkAll {27        }28    }

Arb.Companion.negativeDoubles

Using AI Code Generation

1import io.kotest.property.arbitrary.doubles2import io.kotest.property.arbitrary.negativeDoubles3class NegativeDoublesTest : StringSpec({4   "negativeDoubles" {5      forAll(doubles().negativeDoubles()) {6      }7   }8})9import io.kotest.property.arbitrary.doubles10import io.kotest.property.arbitrary.positiveDoubles11class PositiveDoublesTest : StringSpec({12   "positiveDoubles" {13      forAll(doubles().positiveDoubles()) {14      }15   }16})17import io.kotest.property.arbitrary.floats18import io.kotest.property.arbitrary.negativeFloats19class NegativeFloatsTest : StringSpec({20   "negativeFloats" {21      forAll(floats().negativeFloats()) {22      }23   }24})25import io.kotest.property.arbitrary.floats26import io.kotest.property.arbitrary.positiveFloats27class PositiveFloatsTest : StringSpec({28   "positiveFloats" {29      forAll(floats().positiveFloats()) {30      }31   }32})33import io.kotest.property.arbitrary.ints34import io.kotest.property.arbitrary.positiveInts35class PositiveIntsTest : StringSpec({36   "positiveInts" {37      forAll(ints().positiveInts()) {38      }39   }40})41import io.kotest.property.arbitrary.ints42import io.kotest.property.arbitrary.negativeInts43class NegativeIntsTest : StringSpec({44   "negativeInts" {45      forAll(ints().negativeInts()) {46      }47   }48})

Arb.Companion.negativeDoubles

Using AI Code Generation

1@ValueSource(doubles = *[-1.0, -0.5, 0.0, 0.5, 1.0])2fun `negative doubles with @ValueSource`(value: Double) {3    assertTrue(value < 0.0)4}5@ValueSource(doubles = *[1.0, 0.5, 0.0, -0.5, -1.0])6fun `positive doubles with @ValueSource`(value: Double) {7    assertTrue(value > 0.0)8}9@ValueSource(doubles = *[-1.0, -0.5, 0.0, 0.5, 1.0])10fun `doubles with @ValueSource`(value: Double) {11    assertTrue(value != 0.0)12}13@ValueSource(floats = *[-1.0f, -0.5f, 0.0f, 0.5f, 1.0f])14fun `floats with @ValueSource`(value: Float) {15    assertTrue(value != 0.0f)16}17@ValueSource(floats = *[-1.0f, -0.5f, 0.0f])18fun `negative floats with @ValueSource`(value: Float) {19    assertTrue(value < 0.0f)20}21@ValueSource(floats = *[1.0f, 0.5f, 0.0f])

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