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JUnit 中測試數據集如何相乘 5 參數化測試?

[英]How to multiply test data sets in JUnit 5 Parameterized test?

這是 JUnit 5 中參數化測試的示例。

@ParameterizedTest
@MethodSource("generalDataset")
fun shouldCreateItem(color: String, size: String) {
    val item = Item(color, size)

    assertThat(item.color).isEqualTo(color)
}

@JvmStatic
fun generalDataset() =
    Stream.of(
        arguments("blue", "S"),
        arguments("red", "S"),
        arguments("green", "S"),
        arguments("blue", "L"),
        arguments("red", "L"),
        arguments("green", "L")
    )

看到generalDataset是兩個集合{"blue", "red", "green"} x {"S", "L"}的乘積。

為了避免重復,最好像這個偽代碼那樣明確地描述它

@ParameterizedTest
@MethodSource("colorDataset"  %MULTIPLY%  "sizeDataset")
fun shouldCreateItem(color: String, size: String) {
    val item = Item(color, size)

    assertThat(item.color).isEqualTo(color)
}

@JvmStatic
fun colorDataset() =
    Stream.of(
        arguments("blue"),
        arguments("red"),
        arguments("green") 
    ) 

@JvmStatic
fun sizeDataset() =
    Stream.of(
        arguments("S"),
        arguments("L") 
    )

是否有可能在 JUnit 5 中實現類似的東西(具有多個源的參數化測試)?

您可以指定一個方法作為源。 在這種方法中,您可以提供笛卡爾積。

簡單示例:

@ParameterizedTest
@MethodSource("provideStringsForIsBlank")
...

private static Stream<Arguments> provideStringsForIsBlank() {
    return Stream.of(
      Arguments.of(null, true),
      Arguments.of("", true),
      Arguments.of("  ", true),
      Arguments.of("not blank", false)
    );
}

參考: https://www.baeldung.com/parameterized-tests-junit-5

如果你想避免使用外部庫,我寫了一些代碼來做笛卡爾積,沒有經過太多測試,但簡單且有效

編輯:我優化了代碼以記住遞歸調用

class SomeTestClass {

    @ParameterizedTest
    @MethodSource("SomeTestClassKt#provideSomeData")
    fun someTest(first: String, second: Boolean, third: Int) {
        println("first = $first, second = $second, third = $third")
    }

}

private fun provideSomeData(): Stream<Arguments> {
    return cartesianArguments(
        listOf("Product1", "Product2", "Product3"),
        listOf(true, false),
        listOf(1, 5, 12)
    )
}

inline fun <reified T> cartesianArguments(vararg input: List<T>): Stream<Arguments> {
    return cartesianRecurrence(input.toList())
        .stream()
        .map { Arguments.of(*it.toTypedArray()) }

}


fun <T> cartesianRecurrence(input: List<List<T>>): List<List<T>> {
    if (input.size < 2)
        return input.flatten().map { listOf(it) }

    val result = cartesianRecurrence(input.tail)
    return input.head.flatMap { headElement ->
        result.map { headElement + it }
    }
}

operator fun <T> T.plus(tail: List<T>): List<T> {
    val list = ArrayList<T>(1 + tail.size)

    list.add(this)
    list.addAll(tail)

    return list
}

val <T> List<T>.tail: List<T>
    get() = drop(1)

val <T> List<T>.head: T
    get() = first()

這會產生結果:

first = Product1, second = true, third = 1
first = Product1, second = true, third = 5
first = Product1, second = true, third = 12
first = Product1, second = false, third = 1
first = Product1, second = false, third = 5
first = Product1, second = false, third = 12
first = Product2, second = true, third = 1
first = Product2, second = true, third = 5
first = Product2, second = true, third = 12
first = Product2, second = false, third = 1
first = Product2, second = false, third = 5
first = Product2, second = false, third = 12
first = Product3, second = true, third = 1
first = Product3, second = true, third = 5
first = Product3, second = true, third = 12
first = Product3, second = false, third = 1
first = Product3, second = false, third = 5
first = Product3, second = false, third = 12

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