Annotate String.invoke, addAll(dataframes), AddDsl.unaryPlus

Author: koperagen

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnSelectionDsl.kt

@@ -5,6 +5,7 @@ import org.jetbrains.kotlinx.dataframe.DataColumn
 import org.jetbrains.kotlinx.dataframe.DataFrame
 import org.jetbrains.kotlinx.dataframe.DataRow
 import org.jetbrains.kotlinx.dataframe.annotations.AccessApiOverload
+import org.jetbrains.kotlinx.dataframe.annotations.Interpretable
 import org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor
 import org.jetbrains.kotlinx.dataframe.columns.ColumnGroup
 import org.jetbrains.kotlinx.dataframe.columns.ColumnPath
@@ -176,6 +177,7 @@ public interface ColumnSelectionDsl<out T> : ColumnsContainer<T> {
      */
     @Suppress("INAPPLICABLE_JVM_NAME")
     @JvmName("stringInvokeTyped")
+    @Interpretable("StringInvokeTyped")
     public operator fun <C> String.invoke(): DataColumn<C> = getColumn(this).cast()
 
     /**
@@ -189,6 +191,7 @@ public interface ColumnSelectionDsl<out T> : ColumnsContainer<T> {
      */
     @Suppress("INAPPLICABLE_JVM_NAME")
     @JvmName("stringInvokeUntyped")
+    @Interpretable("StringInvokeUntyped")
     public operator fun String.invoke(): DataColumn<*> = getColumn(this)
 
     /**

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/add.kt

@@ -116,6 +116,8 @@ public fun <T> DataFrame<T>.add(vararg dataFrames: AnyFrame): DataFrame<T> = add
  * @throws [UnequalColumnSizesException] if columns in an expected result have different sizes.
  * @return new [DataFrame] with added columns.
  */
+@Refine
+@Interpretable("DataFrameAddAll")
 public fun <T> DataFrame<T>.addAll(vararg dataFrames: AnyFrame): DataFrame<T> = addAll(dataFrames.asIterable())
 
 /**
@@ -295,6 +297,7 @@ public class AddDsl<T>(
 
     public fun add(column: AnyColumnReference): Boolean = columns.add(column.resolveSingle(df)!!.data)
 
+    @Interpretable("AddDslReferencePlus")
     public operator fun AnyColumnReference.unaryPlus(): Boolean = add(this)
 
     public operator fun String.unaryPlus(): Boolean = add(df[this])