Data traversal refactoring

CHANGELOG.md

@@ -15,6 +15,7 @@
 - DataSet operates with sequences of data instead of flows
 - PartialEnvelope uses `Int` instead `UInt`.
 - `ActiveDataSet` renamed to `DataSource`
+- `selectOne`->`getByType`
 
 ### Deprecated
 

build.gradle.kts

@@ -4,7 +4,7 @@ plugins {
 
 allprojects {
     group = "space.kscience"
-    version = "0.6.0-dev-5"
+    version = "0.6.0-dev-6"
 }
 
 subprojects {

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/MapAction.kt

@@ -89,7 +89,7 @@ internal class MapAction<in T : Any, out R : Any>(
             return newData.named(newName)
         }
 
-        val sequence = dataSet.dataSequence().map(::mapOne)
+        val sequence = dataSet.traverse().map(::mapOne)
 
         return if (dataSet is DataSource ) {
             ActiveDataTree(outputType, dataSet) {

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/ReduceAction.kt

@@ -19,14 +19,14 @@ public class JoinGroup<T : Any, R : Any>(
 
     public var meta: MutableMeta = MutableMeta()
 
-    public lateinit var result: suspend ActionEnv.(Map<Name, Pair<Meta, T>>) -> R
+    public lateinit var result: suspend ActionEnv.(Map<Name, ValueWithMeta<T>>) -> R
 
-    internal fun <R1 : R> result(outputType: KType, f: suspend ActionEnv.(Map<Name,  Pair<Meta, T>>) -> R1) {
+    internal fun <R1 : R> result(outputType: KType, f: suspend ActionEnv.(Map<Name,  ValueWithMeta<T>>) -> R1) {
         this.outputType = outputType
         this.result = f;
     }
 
-    public inline fun <reified R1 : R> result(noinline f: suspend ActionEnv.(Map<Name,  Pair<Meta, T>>) -> R1) {
+    public inline fun <reified R1 : R> result(noinline f: suspend ActionEnv.(Map<Name,  ValueWithMeta<T>>) -> R1) {
         outputType = typeOf<R1>()
         this.result = f;
     }
@@ -66,7 +66,7 @@ public class ReduceGroupBuilder<T : Any, R : Any>(
     /**
      * Apply transformation to the whole node
      */
-    public fun result(resultName: String, f: suspend ActionEnv.(Map<Name,  Pair<Meta, T>>) -> R) {
+    public fun result(resultName: String, f: suspend ActionEnv.(Map<Name,  ValueWithMeta<T>>) -> R) {
         groupRules += { node ->
             listOf(JoinGroup<T, R>(resultName, node, outputType).apply { result(outputType, f) })
         }
@@ -87,7 +87,7 @@ internal class ReduceAction<T : Any, R : Any>(
 
     override fun transform(set: DataSet<T>, meta: Meta, key: Name): Sequence<NamedData<R>> = sequence {
         ReduceGroupBuilder<T, R>(meta, outputType).apply(action).buildGroups(set).forEach { group ->
-            val dataFlow: Map<Name, Data<T>> = group.set.dataSequence().fold(HashMap()) { acc, value ->
+            val dataFlow: Map<Name, Data<T>> = group.set.traverse().fold(HashMap()) { acc, value ->
                 acc.apply {
                     acc[value.name] = value.data
                 }

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/actions/SplitAction.kt

@@ -77,7 +77,7 @@ internal class SplitAction<T : Any, R : Any>(
 
         return if (dataSet is DataSource) {
             ActiveDataTree<R>(outputType, dataSet) {
-                populateFrom(dataSet.dataSequence().flatMap(transform = ::splitOne))
+                populateFrom(dataSet.traverse().flatMap(transform = ::splitOne))
                 launch {
                     dataSet.updates.collect { name ->
                         //clear old nodes
@@ -89,7 +89,7 @@ internal class SplitAction<T : Any, R : Any>(
             }
         } else {
             DataTree<R>(outputType) {
-                populateFrom(dataSet.dataSequence().flatMap(transform = ::splitOne))
+                populateFrom(dataSet.traverse().flatMap(transform = ::splitOne))
             }
         }
     }

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataSet.kt

@@ -10,8 +10,7 @@ import space.kscience.dataforge.meta.set
 import space.kscience.dataforge.names.*
 import kotlin.reflect.KType
 
-public interface
+public interface DataSet<out T : Any> {
-DataSet<out T : Any> {
 
     /**
      * The minimal common ancestor to all data in the node
@@ -24,23 +23,15 @@ DataSet<out T : Any> {
     public val meta: Meta
 
     /**
-     * Traverse this provider or its child. The order is not guaranteed.
+     * Traverse this [DataSet] returning named data instances. The order is not guaranteed.
      */
-    public fun dataSequence(): Sequence<NamedData<T>>
+    public fun traverse(): Sequence<NamedData<T>>
 
     /**
      * Get data with given name.
      */
     public operator fun get(name: Name): Data<T>?
 
-
-    /**
-     * Get a snapshot of names of top level children of given node. Empty if node does not exist or is a leaf.
-     */
-    public fun listTop(prefix: Name = Name.EMPTY): List<Name> =
-        dataSequence().map { it.name }.filter { it.startsWith(prefix) && (it.length == prefix.length + 1) }.toList()
-    // By default, traverses the whole tree. Could be optimized in descendants
-
     public companion object {
         public val META_KEY: Name = "@meta".asName()
 
@@ -51,16 +42,14 @@ DataSet<out T : Any> {
             override val dataType: KType = TYPE_OF_NOTHING
             override val meta: Meta get() = Meta.EMPTY
 
-            //private val nothing: Nothing get() = error("this is nothing")
+            override fun traverse(): Sequence<NamedData<Nothing>> = emptySequence()
-
-            override fun dataSequence(): Sequence<NamedData<Nothing>> = emptySequence()
 
             override fun get(name: Name): Data<Nothing>? = null
         }
     }
 }
 
-public operator fun <T: Any> DataSet<T>.get(name:String): Data<T>? = get(name.parseAsName())
+public operator fun <T : Any> DataSet<T>.get(name: String): Data<T>? = get(name.parseAsName())
 
 /**
  * A [DataSet] with propagated updates.
@@ -78,7 +67,7 @@ public interface DataSource<T : Any> : DataSet<T>, CoroutineScope {
     /**
      * Stop generating updates from this [DataSource]
      */
-    public fun close(){
+    public fun close() {
         coroutineContext[Job]?.cancel()
     }
 }
@@ -89,7 +78,7 @@ public val <T : Any> DataSet<T>.updates: Flow<Name> get() = if (this is DataSour
  * Flow all data nodes with names starting with [branchName]
  */
 public fun <T : Any> DataSet<T>.children(branchName: Name): Sequence<NamedData<T>> =
-    this@children.dataSequence().filter {
+    this@children.traverse().filter {
         it.name.startsWith(branchName)
     }
 
@@ -97,7 +86,7 @@ public fun <T : Any> DataSet<T>.children(branchName: Name): Sequence<NamedData<T
  * Start computation for all goals in data node and return a job for the whole node
  */
 public fun <T : Any> DataSet<T>.startAll(coroutineScope: CoroutineScope): Job = coroutineScope.launch {
-    dataSequence().map {
+    traverse().map {
         it.launch(this@launch)
     }.toList().joinAll()
 }
@@ -105,7 +94,7 @@ public fun <T : Any> DataSet<T>.startAll(coroutineScope: CoroutineScope): Job =
 public suspend fun <T : Any> DataSet<T>.join(): Unit = coroutineScope { startAll(this).join() }
 
 public suspend fun DataSet<*>.toMeta(): Meta = Meta {
-    dataSequence().forEach {
+    traverse().forEach {
         if (it.name.endsWith(DataSet.META_KEY)) {
             set(it.name, it.meta)
         } else {

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataSetBuilder.kt

@@ -28,7 +28,7 @@ public interface DataSetBuilder<in T : Any> {
         }
 
         //Set new items
-        dataSet.dataSequence().forEach {
+        dataSet.traverse().forEach {
             data(name + it.name, it.data)
         }
     }
@@ -146,7 +146,7 @@ public inline fun <reified T : Any> DataSetBuilder<T>.static(
  */
 @DFExperimental
 public fun <T : Any> DataSetBuilder<T>.populateFrom(tree: DataSet<T>): Unit {
-    tree.dataSequence().forEach {
+    tree.traverse().forEach {
         //TODO check if the place is occupied
         data(it.name, it.data)
     }

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/DataTree.kt

@@ -1,9 +1,5 @@
 package space.kscience.dataforge.data
 
-import kotlinx.coroutines.flow.Flow
-import kotlinx.coroutines.flow.emitAll
-import kotlinx.coroutines.flow.flow
-import kotlinx.coroutines.flow.map
 import space.kscience.dataforge.meta.Meta
 import space.kscience.dataforge.misc.Type
 import space.kscience.dataforge.names.*
@@ -43,20 +39,17 @@ public interface DataTree<out T : Any> : DataSet<T> {
 
     override val meta: Meta get() = items[META_ITEM_NAME_TOKEN]?.meta ?: Meta.EMPTY
 
-    override fun dataSequence(): Sequence<NamedData<T>> = sequence {
+    override fun traverse(): Sequence<NamedData<T>> = sequence {
         items.forEach { (token, childItem: DataTreeItem<T>) ->
             if (!token.body.startsWith("@")) {
                 when (childItem) {
                     is DataTreeItem.Leaf -> yield(childItem.data.named(token.asName()))
-                    is DataTreeItem.Node -> yieldAll(childItem.tree.dataSequence().map { it.named(token + it.name) })
+                    is DataTreeItem.Node -> yieldAll(childItem.tree.traverse().map { it.named(token + it.name) })
                 }
             }
         }
     }
 
-    override fun listTop(prefix: Name): List<Name> =
-        getItem(prefix).tree?.items?.keys?.map { prefix + it } ?: emptyList()
-
     override fun get(name: Name): Data<T>? = when (name.length) {
         0 -> null
         1 -> items[name.firstOrNull()!!].data
@@ -73,6 +66,9 @@ public interface DataTree<out T : Any> : DataSet<T> {
     }
 }
 
+public fun <T : Any> DataTree<T>.listChildren(prefix: Name): List<Name> =
+    getItem(prefix).tree?.items?.keys?.map { prefix + it } ?: emptyList()
+
 /**
  * Get a [DataTreeItem] with given [name] or null if the item does not exist
  */
@@ -86,15 +82,15 @@ public val <T : Any> DataTreeItem<T>?.tree: DataTree<T>? get() = (this as? DataT
 public val <T : Any> DataTreeItem<T>?.data: Data<T>? get() = (this as? DataTreeItem.Leaf<T>)?.data
 
 /**
- * Flow of all children including nodes
+ * A [Sequence] of all children including nodes
  */
-public fun <T : Any> DataTree<T>.itemFlow(): Flow<Pair<Name, DataTreeItem<T>>> = flow {
+public fun <T : Any> DataTree<T>.traverseItems(): Sequence<Pair<Name, DataTreeItem<T>>> = sequence {
     items.forEach { (head, item) ->
-        emit(head.asName() to item)
+        yield(head.asName() to item)
         if (item is DataTreeItem.Node) {
-            val subSequence = item.tree.itemFlow()
+            val subSequence = item.tree.traverseItems()
                 .map { (name, data) -> (head.asName() + name) to data }
-            emitAll(subSequence)
+            yieldAll(subSequence)
         }
     }
 }

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/GroupRule.kt

@@ -42,7 +42,7 @@ public interface GroupRule {
                 val map = HashMap<String, DataSet<T>>()
 
                 if (set is DataSource) {
-                    set.dataSequence().forEach { data ->
+                    set.traverse().forEach { data ->
                         val tagValue: String = data.meta[key]?.string ?: defaultTagValue
                         (map.getOrPut(tagValue) { DataSourceBuilder(set.dataType, set.coroutineContext) } as DataSourceBuilder<T>)
                             .data(data.name, data.data)
@@ -61,7 +61,7 @@ public interface GroupRule {
                         }
                     }
                 } else {
-                    set.dataSequence().forEach { data ->
+                    set.traverse().forEach { data ->
                         val tagValue: String = data.meta[key]?.string ?: defaultTagValue
                         (map.getOrPut(tagValue) { StaticDataTree(set.dataType) } as StaticDataTree<T>)
                             .data(data.name, data.data)

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/StaticDataTree.kt

@@ -52,7 +52,7 @@ internal class StaticDataTree<T : Any>(
         if (dataSet is StaticDataTree) {
             set(name, DataTreeItem.Node(dataSet))
         } else {
-            dataSet.dataSequence().forEach {
+            dataSet.traverse().forEach {
                 data(name + it.name, it.data)
             }
         }

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/dataFilter.kt

@@ -30,8 +30,8 @@ public fun <T : Any> DataSet<T>.filter(
 
     override val meta: Meta get() = this@filter.meta
 
-    override fun dataSequence(): Sequence<NamedData<T>> =
+    override fun traverse(): Sequence<NamedData<T>> =
-        this@filter.dataSequence().filter { predicate(it.name, it.meta) }
+        this@filter.traverse().filter { predicate(it.name, it.meta) }
 
     override fun get(name: Name): Data<T>? = this@filter.get(name)?.takeIf {
         predicate(name, it.meta)
@@ -58,8 +58,8 @@ public fun <T : Any> DataSet<T>.withNamePrefix(prefix: Name): DataSet<T> = if (p
     override val meta: Meta get() = this@withNamePrefix.meta
 
 
-    override fun dataSequence(): Sequence<NamedData<T>> =
+    override fun traverse(): Sequence<NamedData<T>> =
-        this@withNamePrefix.dataSequence().map { it.data.named(prefix + it.name) }
+        this@withNamePrefix.traverse().map { it.data.named(prefix + it.name) }
 
     override fun get(name: Name): Data<T>? =
         name.removeHeadOrNull(name)?.let { this@withNamePrefix.get(it) }
@@ -80,7 +80,7 @@ public fun <T : Any> DataSet<T>.branch(branchName: Name): DataSet<T> = if (branc
 
     override val meta: Meta get() = this@branch.meta
 
-    override fun dataSequence(): Sequence<NamedData<T>> = this@branch.dataSequence().mapNotNull {
+    override fun traverse(): Sequence<NamedData<T>> = this@branch.traverse().mapNotNull {
         it.name.removeHeadOrNull(branchName)?.let { name ->
             it.data.named(name)
         }

dataforge-data/src/commonMain/kotlin/space/kscience/dataforge/data/dataTransform.kt

@@ -1,12 +1,12 @@
 package space.kscience.dataforge.data
 
-import kotlinx.coroutines.flow.Flow
 import kotlinx.coroutines.flow.map
 import space.kscience.dataforge.meta.Meta
 import space.kscience.dataforge.meta.MutableMeta
 import space.kscience.dataforge.meta.seal
 import space.kscience.dataforge.meta.toMutableMeta
 import space.kscience.dataforge.misc.DFInternal
+import space.kscience.dataforge.names.Name
 import kotlin.contracts.InvocationKind
 import kotlin.contracts.contract
 import kotlin.coroutines.CoroutineContext
@@ -14,6 +14,15 @@ import kotlin.coroutines.EmptyCoroutineContext
 import kotlin.reflect.KType
 import kotlin.reflect.typeOf
 
+public data class ValueWithMeta<T>(val meta: Meta, val value: T)
+
+public suspend fun <T: Any> Data<T>.awaitWithMeta(): ValueWithMeta<T> = ValueWithMeta(meta, await())
+
+public data class NamedValueWithMeta<T>(val name: Name, val meta: Meta, val value: T)
+
+public suspend fun <T: Any> NamedData<T>.awaitWithMeta(): NamedValueWithMeta<T> = NamedValueWithMeta(name, meta, await())
+
+
 /**
  * Lazily transform this data to another data. By convention [block] should not use external data (be pure).
  * @param coroutineContext additional [CoroutineContext] elements used for data computation.
@@ -49,13 +58,13 @@ public inline fun <T1 : Any, T2 : Any, reified R : Any> Data<T1>.combine(
 public inline fun <T : Any, reified R : Any> Collection<Data<T>>.reduceToData(
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    crossinline block: suspend (List<Pair<Meta, T>>) -> R,
+    crossinline block: suspend (List<ValueWithMeta<T>>) -> R,
 ): Data<R> = Data(
     meta,
     coroutineContext,
     this
 ) {
-    block(map { it.meta to it.await() })
+    block(map { it.awaitWithMeta() })
 }
 
 @DFInternal
@@ -63,17 +72,16 @@ public fun <K, T : Any, R : Any> Map<K, Data<T>>.reduceToData(
     outputType: KType,
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    block: suspend (Map<K, Pair<Meta, T>>) -> R,
+    block: suspend (Map<K, ValueWithMeta<T>>) -> R,
 ): Data<R> = Data(
     outputType,
     meta,
     coroutineContext,
     this.values
 ) {
-    block(mapValues { it.value.meta to it.value.await() })
+    block(mapValues { it.value.awaitWithMeta() })
 }
 
-
 /**
  * Lazily reduce a [Map] of [Data] with any static key.
  * @param K type of the map key
@@ -83,58 +91,93 @@ public fun <K, T : Any, R : Any> Map<K, Data<T>>.reduceToData(
 public inline fun <K, T : Any, reified R : Any> Map<K, Data<T>>.reduceToData(
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    noinline block: suspend (Map<K, T>) -> R,
+    crossinline block: suspend (Map<K, ValueWithMeta<T>>) -> R,
 ): Data<R> = Data(
     meta,
     coroutineContext,
     this.values
 ) {
-    block(mapValues { it.value.await() })
+    block(mapValues { it.value.awaitWithMeta() })
 }
 
-//flow operations
+//Iterable operations
 
-/**
- * Transform a [Flow] of [NamedData] to a single [Data].
- */
 @DFInternal
-public inline fun <T : Any, R : Any> Sequence<NamedData<T>>.reduceToData(
+public inline fun <T : Any, R : Any> Iterable<Data<T>>.reduceToData(
     outputType: KType,
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    crossinline transformation: suspend (Sequence<NamedData<T>>) -> R,
+    crossinline transformation: suspend (Collection<ValueWithMeta<T>>) -> R,
 ): Data<R> = Data(
     outputType,
     meta,
     coroutineContext,
     toList()
 ) {
-    transformation(this)
+    transformation(map { it.awaitWithMeta() })
 }
 
 @OptIn(DFInternal::class)
-public inline fun <T : Any, reified R : Any> Sequence<NamedData<T>>.reduceToData(
+public inline fun <T : Any, reified R : Any> Iterable<Data<T>>.reduceToData(
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    crossinline transformation: suspend (Sequence<NamedData<T>>) -> R,
+    crossinline transformation: suspend (Collection<ValueWithMeta<T>>) -> R,
 ): Data<R> = reduceToData(typeOf<R>(), coroutineContext, meta) {
     transformation(it)
 }
 
-/**
+public inline fun <T : Any, reified R : Any> Iterable<Data<T>>.foldToData(
- * Fold a flow of named data into a single [Data]
- */
-public inline fun <T : Any, reified R : Any> Sequence<NamedData<T>>.foldToData(
     initial: R,
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    crossinline block: suspend (result: R, data: NamedData<T>) -> R,
+    crossinline block: suspend (result: R, data: ValueWithMeta<T>) -> R,
 ): Data<R> = reduceToData(
     coroutineContext, meta
 ) {
     it.fold(initial) { acc, t -> block(acc, t) }
 }
 
+/**
+ * Transform an [Iterable] of [NamedData] to a single [Data].
+ */
+@DFInternal
+public inline fun <T : Any, R : Any> Iterable<NamedData<T>>.reduceNamedToData(
+    outputType: KType,
+    coroutineContext: CoroutineContext = EmptyCoroutineContext,
+    meta: Meta = Meta.EMPTY,
+    crossinline transformation: suspend (Collection<NamedValueWithMeta<T>>) -> R,
+): Data<R> = Data(
+    outputType,
+    meta,
+    coroutineContext,
+    toList()
+) {
+    transformation(map { it.awaitWithMeta() })
+}
+
+@OptIn(DFInternal::class)
+public inline fun <T : Any, reified R : Any> Iterable<NamedData<T>>.reduceNamedToData(
+    coroutineContext: CoroutineContext = EmptyCoroutineContext,
+    meta: Meta = Meta.EMPTY,
+    crossinline transformation: suspend (Collection<NamedValueWithMeta<T>>) -> R,
+): Data<R> = reduceNamedToData(typeOf<R>(), coroutineContext, meta) {
+    transformation(it)
+}
+
+/**
+ * Fold a [Iterable] of named data into a single [Data]
+ */
+public inline fun <T : Any, reified R : Any> Iterable<NamedData<T>>.foldNamedToData(
+    initial: R,
+    coroutineContext: CoroutineContext = EmptyCoroutineContext,
+    meta: Meta = Meta.EMPTY,
+    crossinline block: suspend (result: R, data: NamedValueWithMeta<T>) -> R,
+): Data<R> = reduceNamedToData(
+    coroutineContext, meta
+) {
+    it.fold(initial) { acc, t -> block(acc, t) }
+}
+
 //DataSet operations
 
 @DFInternal
@@ -142,13 +185,13 @@ public suspend fun <T : Any, R : Any> DataSet<T>.map(
     outputType: KType,
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     metaTransform: MutableMeta.() -> Unit = {},
-    block: suspend (T) -> R,
+    block: suspend (NamedValueWithMeta<T>) -> R,
 ): DataTree<R> = DataTree<R>(outputType) {
     populateFrom(
-        dataSequence().map {
+        traverse().map {
             val newMeta = it.meta.toMutableMeta().apply(metaTransform).seal()
             Data(outputType, newMeta, coroutineContext, listOf(it)) {
-                block(it.await())
+                block(it.awaitWithMeta())
             }.named(it.name)
         }
     )
@@ -158,12 +201,12 @@ public suspend fun <T : Any, R : Any> DataSet<T>.map(
 public suspend inline fun <T : Any, reified R : Any> DataSet<T>.map(
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     noinline metaTransform: MutableMeta.() -> Unit = {},
-    noinline block: suspend (T) -> R,
+    noinline block: suspend (NamedValueWithMeta<T>) -> R,
 ): DataTree<R> = map(typeOf<R>(), coroutineContext, metaTransform, block)
 
 public suspend fun <T : Any> DataSet<T>.forEach(block: suspend (NamedData<T>) -> Unit) {
     contract { callsInPlace(block, InvocationKind.EXACTLY_ONCE) }
-    dataSequence().forEach {
+    traverse().forEach {
         block(it)
     }
 }
@@ -171,12 +214,12 @@ public suspend fun <T : Any> DataSet<T>.forEach(block: suspend (NamedData<T>) ->
 public inline fun <T : Any, reified R : Any> DataSet<T>.reduceToData(
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    crossinline transformation: suspend (Sequence<NamedData<T>>) -> R,
+    crossinline transformation: suspend (Iterable<NamedValueWithMeta<T>>) -> R,
-): Data<R> = dataSequence().reduceToData(coroutineContext, meta, transformation)
+): Data<R> = traverse().asIterable().reduceNamedToData(coroutineContext, meta, transformation)
 
 public inline fun <T : Any, reified R : Any> DataSet<T>.foldToData(
     initial: R,
     coroutineContext: CoroutineContext = EmptyCoroutineContext,
     meta: Meta = Meta.EMPTY,
-    crossinline block: suspend (result: R, data: NamedData<T>) -> R,
+    crossinline block: suspend (result: R, data: NamedValueWithMeta<T>) -> R,
-): Data<R> = dataSequence().foldToData(initial, coroutineContext, meta, block)
+): Data<R> = traverse().asIterable().foldNamedToData(initial, coroutineContext, meta, block)

dataforge-data/src/jvmMain/kotlin/space/kscience/dataforge/data/dataFilterJvm.kt

@@ -33,32 +33,32 @@ private fun <R : Any> Data<*>.castOrNull(type: KType): Data<R>? =
  * @param predicate addition filtering condition based on item name and meta. By default, accepts all
  */
 @OptIn(DFExperimental::class)
-public fun <R : Any> DataSet<*>.filterIsInstance(
+public fun <R : Any> DataSet<*>.filterByType(
     type: KType,
     predicate: (name: Name, meta: Meta) -> Boolean = { _, _ -> true },
 ): DataSource<R> = object : DataSource<R> {
     override val dataType = type
 
     override val coroutineContext: CoroutineContext
-        get() = (this@filterIsInstance as? DataSource)?.coroutineContext ?: EmptyCoroutineContext
+        get() = (this@filterByType as? DataSource)?.coroutineContext ?: EmptyCoroutineContext
 
-    override val meta: Meta get() = this@filterIsInstance.meta
+    override val meta: Meta get() = this@filterByType.meta
 
     private fun checkDatum(name: Name, datum: Data<*>): Boolean = datum.type.isSubtypeOf(type)
             && predicate(name, datum.meta)
 
-    override fun dataSequence(): Sequence<NamedData<R>> = this@filterIsInstance.dataSequence().filter {
+    override fun traverse(): Sequence<NamedData<R>> = this@filterByType.traverse().filter {
         checkDatum(it.name, it.data)
     }.map {
         @Suppress("UNCHECKED_CAST")
         it as NamedData<R>
     }
 
-    override fun get(name: Name): Data<R>? = this@filterIsInstance[name]?.let { datum ->
+    override fun get(name: Name): Data<R>? = this@filterByType[name]?.let { datum ->
         if (checkDatum(name, datum)) datum.castOrNull(type) else null
     }
 
-    override val updates: Flow<Name> = this@filterIsInstance.updates.filter { name ->
+    override val updates: Flow<Name> = this@filterByType.updates.filter { name ->
         get(name)?.let { datum ->
             checkDatum(name, datum)
         } ?: false
@@ -68,18 +68,18 @@ public fun <R : Any> DataSet<*>.filterIsInstance(
 /**
  * Select a single datum of the appropriate type
  */
-public inline fun <reified R : Any> DataSet<*>.filterIsInstance(
+public inline fun <reified R : Any> DataSet<*>.filterByType(
     noinline predicate: (name: Name, meta: Meta) -> Boolean = { _, _ -> true },
-): DataSet<R> = filterIsInstance(typeOf<R>(), predicate)
+): DataSet<R> = filterByType(typeOf<R>(), predicate)
 
 /**
  * Select a single datum if it is present and of given [type]
  */
-public fun <R : Any> DataSet<*>.selectOne(type: KType, name: Name): NamedData<R>? =
+public fun <R : Any> DataSet<*>.getByType(type: KType, name: Name): NamedData<R>? =
     get(name)?.castOrNull<R>(type)?.named(name)
 
-public inline fun <reified R : Any> DataSet<*>.selectOne(name: Name): NamedData<R>? =
+public inline fun <reified R : Any> DataSet<*>.getByType(name: Name): NamedData<R>? =
-    selectOne(typeOf<R>(), name)
+    this@getByType.getByType(typeOf<R>(), name)
 
-public inline fun <reified R : Any> DataSet<*>.selectOne(name: String): NamedData<R>? =
+public inline fun <reified R : Any> DataSet<*>.getByType(name: String): NamedData<R>? =
-    selectOne(typeOf<R>(), Name.parse(name))
+    this@getByType.getByType(typeOf<R>(), Name.parse(name))

dataforge-workspace/src/commonMain/kotlin/space/kscience/dataforge/workspace/TaskResult.kt

@@ -23,7 +23,7 @@ public interface TaskResult<out T : Any> : DataSet<T> {
      */
     public val taskMeta: Meta
 
-    override fun dataSequence(): Sequence<TaskData<T>>
+    override fun traverse(): Sequence<TaskData<T>>
     override fun get(name: Name): TaskData<T>?
 }
 
@@ -34,7 +34,7 @@ private class TaskResultImpl<out T : Any>(
     override val taskMeta: Meta,
 ) : TaskResult<T>, DataSet<T> by dataSet {
 
-    override fun dataSequence(): Sequence<TaskData<T>> = dataSet.dataSequence().map {
+    override fun traverse(): Sequence<TaskData<T>> = dataSet.traverse().map {
         workspace.wrapData(it, it.name, taskName, taskMeta)
     }
 

dataforge-workspace/src/commonMain/kotlin/space/kscience/dataforge/workspace/Workspace.kt

@@ -35,7 +35,7 @@ public interface Workspace : ContextAware, Provider {
         return when (target) {
             "target", Meta.TYPE -> targets.mapKeys { Name.parse(it.key)}
             Task.TYPE -> tasks
-            Data.TYPE -> data.dataSequence().associateBy { it.name }
+            Data.TYPE -> data.traverse().associateBy { it.name }
             else -> emptyMap()
         }
     }

dataforge-workspace/src/jvmMain/kotlin/space/kscience/dataforge/workspace/workspaceJvm.kt

@@ -1,7 +1,7 @@
 package space.kscience.dataforge.workspace
 
 import space.kscience.dataforge.data.DataSet
-import space.kscience.dataforge.data.filterIsInstance
+import space.kscience.dataforge.data.filterByType
 import space.kscience.dataforge.meta.Meta
 import space.kscience.dataforge.names.Name
 import space.kscience.dataforge.names.matches
@@ -13,7 +13,7 @@ import space.kscience.dataforge.names.matches
 public inline fun <reified T : Any> TaskResultBuilder<*>.data(namePattern: Name? = null): DataSelector<T> =
     object : DataSelector<T> {
         override suspend fun select(workspace: Workspace, meta: Meta): DataSet<T> =
-            workspace.data.filterIsInstance { name, _ ->
+            workspace.data.filterByType { name, _ ->
                 namePattern == null || name.matches(namePattern)
             }
     }
@@ -21,4 +21,4 @@ public inline fun <reified T : Any> TaskResultBuilder<*>.data(namePattern: Name?
 public suspend inline fun <reified T : Any> TaskResultBuilder<*>.fromTask(
     task: Name,
     taskMeta: Meta = Meta.EMPTY,
-): DataSet<T> = workspace.produce(task, taskMeta).filterIsInstance()
+): DataSet<T> = workspace.produce(task, taskMeta).filterByType()

dataforge-workspace/src/jvmTest/kotlin/space/kscience/dataforge/workspace/DataPropagationTest.kt

@@ -14,16 +14,16 @@ class DataPropagationTestPlugin : WorkspacePlugin() {
     override val tag: PluginTag = Companion.tag
 
     val allData by task<Int> {
-        val selectedData = workspace.data.filterIsInstance<Int>()
+        val selectedData = workspace.data.filterByType<Int>()
-        val result: Data<Int> = selectedData.dataSequence().foldToData(0) { result, data ->
+        val result: Data<Int> = selectedData.traverse().asIterable().foldToData(0) { result, data ->
-            result + data.await()
+            result + data.value
         }
         data("result", result)
     }
 
 
     val singleData by task<Int> {
-        workspace.data.filterIsInstance<Int>()["myData[12]"]?.let {
+        workspace.data.filterByType<Int>()["myData[12]"]?.let {
             data("result", it)
         }
     }
@@ -57,7 +57,7 @@ class DataPropagationTest {
     fun testAllData() {
         runBlocking {
             val node = testWorkspace.produce("Test.allData")
-            assertEquals(4950, node.dataSequence().single().await())
+            assertEquals(4950, node.traverse().single().await())
         }
     }
 
@@ -65,7 +65,7 @@ class DataPropagationTest {
     fun testSingleData() {
         runBlocking {
             val node = testWorkspace.produce("Test.singleData")
-            assertEquals(12, node.dataSequence().single().await())
+            assertEquals(12, node.traverse().single().await())
         }
     }
 }

dataforge-workspace/src/jvmTest/kotlin/space/kscience/dataforge/workspace/SimpleWorkspaceTest.kt

@@ -63,7 +63,7 @@ class SimpleWorkspaceTest {
         }
 
         val filterOne by task<Int> {
-            workspace.data.selectOne<Int>("myData[12]")?.let { source ->
+            workspace.data.getByType<Int>("myData[12]")?.let { source ->
                 data(source.name, source.map { it })
             }
         }
@@ -111,23 +111,23 @@ class SimpleWorkspaceTest {
         val sum by task<Int> {
             workspace.logger.info { "Starting sum" }
             val res = from(square).foldToData(0) { l, r ->
-                l + r.await()
+                l + r.value
             }
             data("sum", res)
         }
 
         val averageByGroup by task<Int> {
-            val evenSum = workspace.data.filterIsInstance<Int> { name, _ ->
+            val evenSum = workspace.data.filterByType<Int> { name, _ ->
                 name.toString().toInt() % 2 == 0
             }.foldToData(0) { l, r ->
-                l + r.await()
+                l + r.value
             }
 
             data("even", evenSum)
-            val oddSum = workspace.data.filterIsInstance<Int> { name, _ ->
+            val oddSum = workspace.data.filterByType<Int> { name, _ ->
                 name.toString().toInt() % 2 == 1
             }.foldToData(0) { l, r ->
-                l + r.await()
+                l + r.value
             }
             data("odd", oddSum)
         }
@@ -143,7 +143,7 @@ class SimpleWorkspaceTest {
         }
 
         val customPipe by task<Int> {
-            workspace.data.filterIsInstance<Int>().forEach { data ->
+            workspace.data.filterByType<Int>().forEach { data ->
                 val meta = data.meta.toMutableMeta().apply {
                     "newValue" put 22
                 }
@@ -159,7 +159,7 @@ class SimpleWorkspaceTest {
     fun testWorkspace() {
         runBlocking {
             val node = workspace.runBlocking("sum")
-            val res = node.dataSequence().single()
+            val res = node.traverse().single()
             assertEquals(328350, res.await())
         }
     }
@@ -169,7 +169,7 @@ class SimpleWorkspaceTest {
     fun testMetaPropagation() {
         runBlocking {
             val node = workspace.produce("sum") { "testFlag" put true }
-            val res = node.dataSequence().single().await()
+            val res = node.traverse().single().await()
         }
     }
 
@@ -192,7 +192,7 @@ class SimpleWorkspaceTest {
     fun testFilter() {
         runBlocking {
             val node = workspace.produce("filterOne")
-            assertEquals(12, node.dataSequence().first().await())
+            assertEquals(12, node.traverse().first().await())
         }
     }
 }