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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

...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}...

ClassifyTest

Using AI Code Generation

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    }

ClassifyTest

Using AI Code Generation

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

ClassifyTest

Using AI Code Generation

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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