Get a branch of this DataTree with a given branchName. The difference from similar method for DataSet is that internal logic is more simple and the return value is a DataTree

computeAndJoinAll

suspend fun <T : Any> DataSet<T>.computeAndJoinAll()

filter

fun <T : Any> DataSet<T>.filter(predicate: (Name, Meta) -> Boolean): DataSource<T>

A stateless filtered DataSet

filterByType

inline fun <R : Any> DataSet<*>.filterByType(noinline predicate: (name: Name, meta: Meta) -> Boolean = { _, _ -> true }): DataSet<R>

Select a single datum of the appropriate type

fun <R : Any> DataSet<*>.filterByType(type: KType, predicate: (name: Name, meta: Meta) -> Boolean = { _, _ -> true }): DataSource<R>

Select all data matching given type and filters. Does not modify paths

foldToData

inline fun <T : Any, R : Any> DataSet<T>.foldToData(initial: R, coroutineContext: CoroutineContext = EmptyCoroutineContext, meta: Meta = Meta.EMPTY, crossinline block: suspend (result: R, data: NamedValueWithMeta<T>) -> R): Data<R>

forEach

inline fun <T : Any> DataSet<T>.forEach(block: (NamedData<T>) -> Unit)

get

open operator override fun get(name: Name): Data<T>?

Get data with given name.

get

operator fun <T : Any> DataSet<T>.get(name: String): Data<T>?

getByType

inline fun <R : Any> DataSet<*>.getByType(name: String): NamedData<R>?

inline fun <R : Any> DataSet<*>.getByType(name: Name): NamedData<R>?

fun <R : Any> DataSet<*>.getByType(type: KType, name: Name): NamedData<R>?

Select a single datum if it is present and of given type

getItem

tailrec fun <T : Any> DataTree<T>.getItem(name: Name): DataTreeItem<T>?

Get a DataTreeItem with given name or null if the item does not exist

iterator

open operator override fun iterator(): Iterator<NamedData<T>>

Traverse this DataSet returning named data instances. The order is not guaranteed.

listChildren

fun <T : Any> DataTree<T>.listChildren(prefix: Name): List<Name>

map

inline suspend fun <T : Any, R : Any> DataSet<T>.map(coroutineContext: CoroutineContext = EmptyCoroutineContext, noinline metaTransform: MutableMeta.() -> Unit = {}, noinline block: suspend (NamedValueWithMeta<T>) -> R): DataTree<R>

suspend fun <T : Any, R : Any> DataSet<T>.map(outputType: KType, coroutineContext: CoroutineContext = EmptyCoroutineContext, metaTransform: MutableMeta.() -> Unit = {}, block: suspend (NamedValueWithMeta<T>) -> R): DataTree<R>

reduceToData

inline fun <T : Any, R : Any> DataSet<T>.reduceToData(coroutineContext: CoroutineContext = EmptyCoroutineContext, meta: Meta = Meta.EMPTY, crossinline transformation: suspend (Iterable<NamedValueWithMeta<T>>) -> R): Data<R>

rootData