[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)
);
}
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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