How to use ClassifyTest class of com.sksamuel.kotest.property package

Best Kotest code snippet using com.sksamuel.kotest.property.ClassifyTest

ClassifyTest.kt

Source:ClassifyTest.kt Github

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...4import io.kotest.property.Arb5import io.kotest.property.PropTestConfig6import io.kotest.property.arbitrary.string7import io.kotest.property.forAll8class ClassifyTest : StringSpec() {9 init {10 "classify should log passing predicates" {11 forAll<Int>(PropTestConfig(seed = 2342123)) { a ->12 classify(a == 0, "zero")13 classify(a % 2 == 0, "even number", "odd number")14 a + a == 2 * a15 }.classifications() shouldBe mapOf("odd number" to 505, "even number" to 495, "zero" to 5)16 forAll(PropTestConfig(seed = 1234), Arb.string()) { a ->17 classify(a.contains(" "), "has whitespace", "no whitespace")18 a + "" == "" + a19 }.classifications() shouldBe mapOf("no whitespace" to 619, "has whitespace" to 381)20 }21 }22}...

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ClassifyTest

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1 import com.sksamuel.kotest.property.ClassifyTest2 import com.sksamuel.kotest.property.classify3 import io.kotest.core.spec.style.StringSpec4 import io.kotest.matchers.shouldBe5 class ClassifyTest : StringSpec() {6 init {7 "classify test" {8 classify("even", 2 % 2 == 0)9 classify("odd", 1 % 2 == 0)10 classify("odd", 3 % 2 == 0)11 }12 }13 }

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ClassifyTest

Using AI Code Generation

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1import com.sksamuel.kotest.property.ClassifyTest2import com.sksamuel.kotest.property.forAll3import io.kotest.core.spec.style.StringSpec4import io.kotest.matchers.shouldBe5import io.kotest.property.Arb6import io.kotest.property.arbitrary.int7import io.kotest.property.arbitrary.string8import io.kotest.property.checkAll9import io.kotest.property.exhaustive.ints10import io.kotest.property.exhaustive.strings11class ClassifyTestTest : StringSpec({12 "classify test" {13 forAll(Arb.int()) { i ->14 ClassifyTest(i, i % 2 == 0, "even", "odd")15 }16 forAll(Arb.string()) { s ->17 ClassifyTest(s, s.length % 2 == 0, "even", "odd")18 }19 }20 "classify test with exhaustive" {21 checkAll(ints(-100, 100)) { i ->22 ClassifyTest(i, i % 2 == 0, "even", "odd")23 }24 checkAll(strings("a", "z")) { s ->25 ClassifyTest(s, s.length % 2 == 0, "even", "odd")26 }27 }28 "classify test with label" {29 forAll(Arb.int()) { i ->30 ClassifyTest(i, i % 2 == 0, "even", "odd", "i % 2 == 0")31 }32 forAll(Arb.string()) { s ->33 ClassifyTest(s, s.length % 2 == 0, "even", "odd", "s.length % 2 == 0")34 }35 }36 "classify test with exhaustive and label" {37 checkAll(ints(-100, 100)) { i ->38 ClassifyTest(i, i % 2 == 0, "even", "odd", "i % 2 == 0")39 }40 checkAll(strings("a", "z")) { s

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ClassifyTest

Using AI Code Generation

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1import com.sksamuel.kotest.property.forAll2import io.kotest.core.spec.style.StringSpec3import io.kotest.matchers.shouldBe4class ClassifyTest : StringSpec({5"ClassifyTest" {6forAll(ClassifyTest(7{ classify("positive", it > 0) },8{ classify("negative", it < 0) },9{ classify("zero", it == 0) }10)) { n ->11classify(n > 0, "positive", "negative", "zero")12}13}14})15import com.sksamuel.kotest.property.forAll16import io.kotest.core.spec.style.StringSpec17import io.kotest.matchers.shouldBe18class ClassifyTest : StringSpec({19"ClassifyTest" {20forAll(21{ n: Int -> classify(n > 0, "positive", "negative", "zero") }22) { n ->23classify(n > 0, "positive", "negative", "zero")24}25}26})27import com.sksamuel.kotest.property.forAll28import io.kotest.core.spec.style.StringSpec29import io.kotest.matchers.shouldBe30class ClassifyTest : StringSpec({31"ClassifyTest" {32forAll(33{ n: Int -> classify(n > 0, "positive", "negative", "zero") }34) { n ->35classify(n > 0, "positive", "negative", "zero")36}37}38})

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