From cda9548de57f2ba7cd4c7619bdf350e2d7c1f63a Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 16:07:59 +0100
Subject: [PATCH 01/38] updating version range to 3.4.2 and 3.5.1

---
 .github/workflows/build.yml                   | 21 ++-----------------
 .github/workflows/publish_dev_version.yml     | 21 ++-----------------
 .github/workflows/publish_release_version.yml | 21 ++-----------------
 buildSrc/src/main/kotlin/Dependencies.kt      |  1 +
 buildSrc/src/main/kotlin/Versions.kt          |  7 ++++---
 gradle.properties                             |  6 +++---
 kotlin-spark-api/build.gradle.kts             |  6 ++----
 settings.gradle.kts                           |  4 ++--
 8 files changed, 18 insertions(+), 69 deletions(-)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index f770318f..2619c680 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -11,25 +11,8 @@ jobs:
     timeout-minutes: 30
     strategy:
       matrix:
-        scala: [ "2.12.17", "2.13.10" ]
-        spark: [ "3.3.2", "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
-        exclude:
-          - scala: "2.13.10"
-            spark: "3.1.3"
-          - scala: "2.13.10"
-            spark: "3.1.2"
-          - scala: "2.13.10"
-            spark: "3.1.1"
-          - scala: "2.13.10"
-            spark: "3.1.0"
-          - scala: "2.13.10"
-            spark: "3.0.3"
-          - scala: "2.13.10"
-            spark: "3.0.2"
-          - scala: "2.13.10"
-            spark: "3.0.1"
-          - scala: "2.13.10"
-            spark: "3.0.0"
+        scala: [ "2.12.19", "2.13.13" ]
+        spark: [ "3.4.2", "3.5.1" ]
     runs-on: ubuntu-latest
 
     steps:
diff --git a/.github/workflows/publish_dev_version.yml b/.github/workflows/publish_dev_version.yml
index 4e2ab716..403cdf72 100644
--- a/.github/workflows/publish_dev_version.yml
+++ b/.github/workflows/publish_dev_version.yml
@@ -9,25 +9,8 @@ jobs:
   build-and-deploy:
     strategy:
       matrix:
-        scala: [ "2.12.17", "2.13.10" ]
-        spark: [ "3.3.2", "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
-        exclude:
-          - scala: "2.13.10"
-            spark: "3.1.3"
-          - scala: "2.13.10"
-            spark: "3.1.2"
-          - scala: "2.13.10"
-            spark: "3.1.1"
-          - scala: "2.13.10"
-            spark: "3.1.0"
-          - scala: "2.13.10"
-            spark: "3.0.3"
-          - scala: "2.13.10"
-            spark: "3.0.2"
-          - scala: "2.13.10"
-            spark: "3.0.1"
-          - scala: "2.13.10"
-            spark: "3.0.0"
+        scala: [ "2.12.19", "2.13.13" ]
+        spark: [ "3.4.2", "3.5.1" ]
     runs-on: ubuntu-latest
     permissions:
       contents: read
diff --git a/.github/workflows/publish_release_version.yml b/.github/workflows/publish_release_version.yml
index ea1998ed..253a30af 100644
--- a/.github/workflows/publish_release_version.yml
+++ b/.github/workflows/publish_release_version.yml
@@ -8,25 +8,8 @@ jobs:
   build-and-deploy-mvn-central:
     strategy:
       matrix:
-        scala: [ "2.12.17", "2.13.10" ]
-        spark: [ "3.3.2", "3.3.1", "3.3.0", "3.2.3", "3.2.2", "3.2.1", "3.2.0", "3.1.3", "3.1.2", "3.1.1", "3.1.0", "3.0.3", "3.0.2", "3.0.1", "3.0.0" ]
-        exclude:
-          - scala: "2.13.10"
-            spark: "3.1.3"
-          - scala: "2.13.10"
-            spark: "3.1.2"
-          - scala: "2.13.10"
-            spark: "3.1.1"
-          - scala: "2.13.10"
-            spark: "3.1.0"
-          - scala: "2.13.10"
-            spark: "3.0.3"
-          - scala: "2.13.10"
-            spark: "3.0.2"
-          - scala: "2.13.10"
-            spark: "3.0.1"
-          - scala: "2.13.10"
-            spark: "3.0.0"
+        scala: [ "2.12.19", "2.13.13" ]
+        spark: [ "3.4.2", "3.5.1" ]
     runs-on: ubuntu-latest
     permissions:
       contents: read
diff --git a/buildSrc/src/main/kotlin/Dependencies.kt b/buildSrc/src/main/kotlin/Dependencies.kt
index 472a18ed..225dff11 100644
--- a/buildSrc/src/main/kotlin/Dependencies.kt
+++ b/buildSrc/src/main/kotlin/Dependencies.kt
@@ -21,6 +21,7 @@ object Dependencies {
     inline val kotlinScriptingCommon get() = "org.jetbrains.kotlin:kotlin-scripting-common"
     inline val kotlinScriptingJvm get() = "org.jetbrains.kotlin:kotlin-scripting-jvm"
     inline val jacksonDatabind get() = "com.fasterxml.jackson.core:jackson-databind:${Versions.jacksonDatabind}"
+    inline val kotlinDateTime get() = "org.jetbrains.kotlinx:kotlinx-datetime:${Versions.kotlinxDateTime}"
 }
 
 
diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index a4042eb3..02de97c6 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -1,16 +1,16 @@
 object Versions {
     const val project = "1.2.5-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
-    const val kotlin = "1.8.20"
+    const val kotlin = "1.9.22"
     const val jvmTarget = "8"
     const val jupyterJvmTarget = "8"
-
     inline val spark get() = System.getProperty("spark") as String
+
     inline val scala get() = System.getProperty("scala") as String
     inline val sparkMinor get() = spark.substringBeforeLast('.')
     inline val scalaCompat get() = scala.substringBeforeLast('.')
-
     const val jupyter = "0.12.0-32-1"
+
     const val kotest = "5.5.4"
     const val kotestTestContainers = "1.3.3"
     const val dokka = "1.8.20"
@@ -23,6 +23,7 @@ object Versions {
     const val kotlinxHtml = "0.7.5"
     const val klaxon = "5.5"
     const val jacksonDatabind = "2.13.4.2"
+    const val kotlinxDateTime = "0.6.0-RC.2"
 
     inline val versionMap
         get() = mapOf(
diff --git a/gradle.properties b/gradle.properties
index bcfebf83..76e815a2 100644
--- a/gradle.properties
+++ b/gradle.properties
@@ -7,9 +7,9 @@ GROUP=org.jetbrains.kotlinx.spark
 
 # Controls the spark and scala version for the entire project
 # can also be defined like ./gradlew -Pspark=X.X.X -Pscala=X.X.X build
-spark=3.3.2
-scala=2.13.10
-# scala=2.12.17
+spark=3.5.1
+scala=2.13.13
+# scala=2.12.19
 skipScalaTuplesInKotlin=false
 
 org.gradle.caching=true
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index 2691836a..95903f6b 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -29,10 +29,7 @@ tasks.withType<Test>().configureEach {
 dependencies {
 
     with(Projects) {
-        api(
-            core,
-            scalaTuplesInKotlin,
-        )
+        api(scalaTuplesInKotlin)
     }
 
     with(Dependencies) {
@@ -46,6 +43,7 @@ dependencies {
             sparkSql,
             sparkStreaming,
             hadoopClient,
+            kotlinDateTime,
         )
 
         testImplementation(
diff --git a/settings.gradle.kts b/settings.gradle.kts
index d0aa217b..5cfd79e6 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -25,13 +25,13 @@ val versions = "${spark}_${scalaCompat}"
 
 rootProject.name = "kotlin-spark-api-parent_$versions"
 
-include("core")
+//include("core")
 include("scala-tuples-in-kotlin")
 include("kotlin-spark-api")
 include("jupyter")
 include("examples")
 
-project(":core").name = "core_$versions"
+//project(":core").name = "core_$versions"
 project(":scala-tuples-in-kotlin").name = "scala-tuples-in-kotlin_$scalaCompat"
 project(":kotlin-spark-api").name = "kotlin-spark-api_$versions"
 project(":jupyter").name = "jupyter_$versions"

From 42ba3399d5b43eef6eace157916dd28404bab43a Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 16:09:29 +0100
Subject: [PATCH 02/38] (re)moving some stuff from the decoupled :core module

---
 .../spark/extensions/DemoCaseClass.scala      |   3 -
 .../spark/extensions/KSparkExtensions.scala   |  19 -
 .../jetbrains/kotlinx/spark/api/Arities.kt    | 856 ------------------
 .../org/jetbrains/kotlinx/spark/api/Utils.kt  |   7 +
 4 files changed, 7 insertions(+), 878 deletions(-)
 delete mode 100644 core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/DemoCaseClass.scala
 delete mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Arities.kt
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Utils.kt

diff --git a/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/DemoCaseClass.scala b/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/DemoCaseClass.scala
deleted file mode 100644
index eb5a1a47..00000000
--- a/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/DemoCaseClass.scala
+++ /dev/null
@@ -1,3 +0,0 @@
-package org.jetbrains.kotlinx.spark.extensions
-
-case class DemoCaseClass[T](a: Int, b: T)
diff --git a/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala b/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
index a28b0848..752ce0d0 100644
--- a/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
+++ b/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
@@ -26,12 +26,6 @@ import scala.reflect.ClassTag
 
 object KSparkExtensions {
 
-  val kotlinVersion = /*$"\""+kotlin+"\""$*/ /*-*/ ""
-  val scalaVersion = /*$"\""+scala+"\""$*/ /*-*/ ""
-  val scalaCompatVersion = /*$"\""+scalaCompat+"\""$*/ /*-*/ ""
-  val sparkVersion = /*$"\""+spark+"\""$*/ /*-*/ ""
-  val sparkMinorVersion = /*$"\""+sparkMinor+"\""$*/ /*-*/ ""
-
   def col(d: Dataset[_], name: String): Column = d.col(name)
 
   def col(name: String): Column = functions.col(name)
@@ -46,19 +40,6 @@ object KSparkExtensions {
     //#endif
   }
 
-
-  def debugCodegen(df: Dataset[_]): Unit = {
-    import org.apache.spark.sql.execution.debug._
-    df.debugCodegen()
-  }
-
-  def debug(df: Dataset[_]): Unit = {
-    import org.apache.spark.sql.execution.debug._
-    df.debug()
-  }
-
-  def sparkContext(s: SparkSession): SparkContext = s.sparkContext
-
   /**
    * Produces a ClassTag[T], which is actually just a casted ClassTag[AnyRef].
    *
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Arities.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Arities.kt
deleted file mode 100644
index ed405f6a..00000000
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Arities.kt
+++ /dev/null
@@ -1,856 +0,0 @@
-/*-
- * =LICENSE=
- * Kotlin Spark API
- * ----------
- * Copyright (C) 2019 - 2020 JetBrains
- * ----------
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- * 
- *      http://www.apache.org/licenses/LICENSE-2.0
- * 
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =LICENSEEND=
- */
-
-/**
- * DEPRECATED: Use Scala tuples instead.
- *
- * Helper classes and functions to work with unnamed tuples we call Arities.
- * Arities are easier to work with in Kotlin than Scala Tuples since they are Kotlin data classes.
- * This means they can be destructured, copied, etc.
- * Finally, the Arities are Serializable, meaning they can be used inside RDDs and they can be broadcast.
- *
- * Example:
- * ```kotlin
- * // creation
- * val tuple: Arity3<Int, String, Double> = c(1, "test", 1.0)
- *
- * // addition
- * val newTuple: Arity5<Int, String, Double, Int, Int> = tuple + c(1, 2)
- *
- * // destructuring
- * val dataset: Dataset<Arity2<Int, Double>> = ...
- * dataset.map { (a: Int, b: Double) ->
- *    (a + b).toString()
- * }
- * ```
- */
-@file:Suppress("DEPRECATION")
-package org.jetbrains.kotlinx.spark.api
-
-import java.io.Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple1<T1>(_1)", "scala.Tuple1"))
-data class Arity1<T1>(val _1: T1): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple2<T1, T2>(_1, _2)", "scala.Tuple2"))
-data class Arity2<T1, T2>(val _1: T1, val _2: T2): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple3<T1, T2, T3>(_1, _2, _3)", "scala.Tuple3"))
-data class Arity3<T1, T2, T3>(val _1: T1, val _2: T2, val _3: T3): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple4<T1, T2, T3, T4>(_1, _2, _3, _4)", "scala.Tuple4"))
-data class Arity4<T1, T2, T3, T4>(val _1: T1, val _2: T2, val _3: T3, val _4: T4): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple5<T1, T2, T3, T4, T5>(_1, _2, _3, _4, _5)", "scala.Tuple5"))
-data class Arity5<T1, T2, T3, T4, T5>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple6<T1, T2, T3, T4, T5, T6>(_1, _2, _3, _4, _5, _6)", "scala.Tuple6"))
-data class Arity6<T1, T2, T3, T4, T5, T6>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple7<T1, T2, T3, T4, T5, T6, T7>(_1, _2, _3, _4, _5, _6, _7)", "scala.Tuple7"))
-data class Arity7<T1, T2, T3, T4, T5, T6, T7>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple8<T1, T2, T3, T4, T5, T6, T7, T8>(_1, _2, _3, _4, _5, _6, _7, _8)", "scala.Tuple8"))
-data class Arity8<T1, T2, T3, T4, T5, T6, T7, T8>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple9<T1, T2, T3, T4, T5, T6, T7, T8, T9>(_1, _2, _3, _4, _5, _6, _7, _8, _9)", "scala.Tuple9"))
-data class Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10)", "scala.Tuple10"))
-data class Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11)", "scala.Tuple11"))
-data class Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12)", "scala.Tuple12"))
-data class Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13)", "scala.Tuple13"))
-data class Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14)", "scala.Tuple14"))
-data class Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15)", "scala.Tuple15"))
-data class Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16)", "scala.Tuple16"))
-data class Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17)", "scala.Tuple17"))
-data class Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18)", "scala.Tuple18"))
-data class Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19)", "scala.Tuple19"))
-data class Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20)", "scala.Tuple20"))
-data class Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19, val _20: T20): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21)", "scala.Tuple21"))
-data class Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19, val _20: T20, val _21: T21): Serializable
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("Tuple22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22)", "scala.Tuple22"))
-data class Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19, val _20: T20, val _21: T21, val _22: T22): Serializable
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-data class Arity23<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19, val _20: T20, val _21: T21, val _22: T22, val _23: T23): Serializable
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-data class Arity24<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19, val _20: T20, val _21: T21, val _22: T22, val _23: T23, val _24: T24): Serializable
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-data class Arity25<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19, val _20: T20, val _21: T21, val _22: T22, val _23: T23, val _24: T24, val _25: T25): Serializable
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-data class Arity26<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>(val _1: T1, val _2: T2, val _3: T3, val _4: T4, val _5: T5, val _6: T6, val _7: T7, val _8: T8, val _9: T9, val _10: T10, val _11: T11, val _12: T12, val _13: T13, val _14: T14, val _15: T15, val _16: T16, val _17: T17, val _18: T18, val _19: T19, val _20: T20, val _21: T21, val _22: T22, val _23: T23, val _24: T24, val _25: T25, val _26: T26): Serializable
-
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1)"))
-fun <T1> c(_1: T1): Arity1<T1> = Arity1<T1>(_1)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2)"))
-fun <T1, T2> c(_1: T1, _2: T2): Arity2<T1, T2> = Arity2<T1, T2>(_1, _2)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3)"))
-fun <T1, T2, T3> c(_1: T1, _2: T2, _3: T3): Arity3<T1, T2, T3> = Arity3<T1, T2, T3>(_1, _2, _3)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4)"))
-fun <T1, T2, T3, T4> c(_1: T1, _2: T2, _3: T3, _4: T4): Arity4<T1, T2, T3, T4> = Arity4<T1, T2, T3, T4>(_1, _2, _3, _4)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5)"))
-fun <T1, T2, T3, T4, T5> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5): Arity5<T1, T2, T3, T4, T5> = Arity5<T1, T2, T3, T4, T5>(_1, _2, _3, _4, _5)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6)"))
-fun <T1, T2, T3, T4, T5, T6> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6): Arity6<T1, T2, T3, T4, T5, T6> = Arity6<T1, T2, T3, T4, T5, T6>(_1, _2, _3, _4, _5, _6)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7)"))
-fun <T1, T2, T3, T4, T5, T6, T7> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7): Arity7<T1, T2, T3, T4, T5, T6, T7> = Arity7<T1, T2, T3, T4, T5, T6, T7>(_1, _2, _3, _4, _5, _6, _7)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8): Arity8<T1, T2, T3, T4, T5, T6, T7, T8> = Arity8<T1, T2, T3, T4, T5, T6, T7, T8>(_1, _2, _3, _4, _5, _6, _7, _8)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9): Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9> = Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>(_1, _2, _3, _4, _5, _6, _7, _8, _9)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10): Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> = Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11): Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> = Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12): Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> = Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13): Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> = Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14): Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> = Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15): Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> = Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16): Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> = Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17): Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> = Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18): Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> = Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19): Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> = Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19, _20: T20): Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> = Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19, _20: T20, _21: T21): Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> = Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21)
-
-@Deprecated("Use Scala tuples instead.", ReplaceWith("t(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22)"))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19, _20: T20, _21: T21, _22: T22): Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> = Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22)
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19, _20: T20, _21: T21, _22: T22, _23: T23): Arity23<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> = Arity23<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22, _23)
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19, _20: T20, _21: T21, _22: T22, _23: T23, _24: T24): Arity24<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> = Arity24<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22, _23, _24)
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19, _20: T20, _21: T21, _22: T22, _23: T23, _24: T24, _25: T25): Arity25<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> = Arity25<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22, _23, _24, _25)
-
-@Deprecated("Use Scala tuples instead. They only reach 22 values.")
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> c(_1: T1, _2: T2, _3: T3, _4: T4, _5: T5, _6: T6, _7: T7, _8: T8, _9: T9, _10: T10, _11: T11, _12: T12, _13: T13, _14: T14, _15: T15, _16: T16, _17: T17, _18: T18, _19: T19, _20: T20, _21: T21, _22: T22, _23: T23, _24: T24, _25: T25, _26: T26): Arity26<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> = Arity26<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22, _23, _24, _25, _26)
-
-
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2> Arity1<T1>.plus(that: Arity1<T2>) = Arity2(this._1, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3> Arity1<T1>.plus(that: Arity2<T2, T3>) = Arity3(this._1, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3> Arity2<T1, T2>.plus(that: Arity1<T3>) = Arity3(this._1, this._2, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4> Arity1<T1>.plus(that: Arity3<T2, T3, T4>) = Arity4(this._1, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4> Arity2<T1, T2>.plus(that: Arity2<T3, T4>) = Arity4(this._1, this._2, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4> Arity3<T1, T2, T3>.plus(that: Arity1<T4>) = Arity4(this._1, this._2, this._3, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5> Arity1<T1>.plus(that: Arity4<T2, T3, T4, T5>) = Arity5(this._1, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5> Arity2<T1, T2>.plus(that: Arity3<T3, T4, T5>) = Arity5(this._1, this._2, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5> Arity3<T1, T2, T3>.plus(that: Arity2<T4, T5>) = Arity5(this._1, this._2, this._3, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5> Arity4<T1, T2, T3, T4>.plus(that: Arity1<T5>) = Arity5(this._1, this._2, this._3, this._4, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6> Arity1<T1>.plus(that: Arity5<T2, T3, T4, T5, T6>) = Arity6(this._1, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6> Arity2<T1, T2>.plus(that: Arity4<T3, T4, T5, T6>) = Arity6(this._1, this._2, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6> Arity3<T1, T2, T3>.plus(that: Arity3<T4, T5, T6>) = Arity6(this._1, this._2, this._3, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6> Arity4<T1, T2, T3, T4>.plus(that: Arity2<T5, T6>) = Arity6(this._1, this._2, this._3, this._4, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity1<T6>) = Arity6(this._1, this._2, this._3, this._4, this._5, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7> Arity1<T1>.plus(that: Arity6<T2, T3, T4, T5, T6, T7>) = Arity7(this._1, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7> Arity2<T1, T2>.plus(that: Arity5<T3, T4, T5, T6, T7>) = Arity7(this._1, this._2, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7> Arity3<T1, T2, T3>.plus(that: Arity4<T4, T5, T6, T7>) = Arity7(this._1, this._2, this._3, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7> Arity4<T1, T2, T3, T4>.plus(that: Arity3<T5, T6, T7>) = Arity7(this._1, this._2, this._3, this._4, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity2<T6, T7>) = Arity7(this._1, this._2, this._3, this._4, this._5, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity1<T7>) = Arity7(this._1, this._2, this._3, this._4, this._5, this._6, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity1<T1>.plus(that: Arity7<T2, T3, T4, T5, T6, T7, T8>) = Arity8(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity2<T1, T2>.plus(that: Arity6<T3, T4, T5, T6, T7, T8>) = Arity8(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity3<T1, T2, T3>.plus(that: Arity5<T4, T5, T6, T7, T8>) = Arity8(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity4<T1, T2, T3, T4>.plus(that: Arity4<T5, T6, T7, T8>) = Arity8(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity3<T6, T7, T8>) = Arity8(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity2<T7, T8>) = Arity8(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity1<T8>) = Arity8(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity1<T1>.plus(that: Arity8<T2, T3, T4, T5, T6, T7, T8, T9>) = Arity9(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity2<T1, T2>.plus(that: Arity7<T3, T4, T5, T6, T7, T8, T9>) = Arity9(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity3<T1, T2, T3>.plus(that: Arity6<T4, T5, T6, T7, T8, T9>) = Arity9(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity4<T1, T2, T3, T4>.plus(that: Arity5<T5, T6, T7, T8, T9>) = Arity9(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity4<T6, T7, T8, T9>) = Arity9(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity3<T7, T8, T9>) = Arity9(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity2<T8, T9>) = Arity9(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity1<T9>) = Arity9(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity1<T1>.plus(that: Arity9<T2, T3, T4, T5, T6, T7, T8, T9, T10>) = Arity10(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity2<T1, T2>.plus(that: Arity8<T3, T4, T5, T6, T7, T8, T9, T10>) = Arity10(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity3<T1, T2, T3>.plus(that: Arity7<T4, T5, T6, T7, T8, T9, T10>) = Arity10(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity4<T1, T2, T3, T4>.plus(that: Arity6<T5, T6, T7, T8, T9, T10>) = Arity10(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity5<T6, T7, T8, T9, T10>) = Arity10(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity4<T7, T8, T9, T10>) = Arity10(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity3<T8, T9, T10>) = Arity10(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity2<T9, T10>) = Arity10(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity1<T10>) = Arity10(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity1<T1>.plus(that: Arity10<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>) = Arity11(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity2<T1, T2>.plus(that: Arity9<T3, T4, T5, T6, T7, T8, T9, T10, T11>) = Arity11(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity3<T1, T2, T3>.plus(that: Arity8<T4, T5, T6, T7, T8, T9, T10, T11>) = Arity11(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity4<T1, T2, T3, T4>.plus(that: Arity7<T5, T6, T7, T8, T9, T10, T11>) = Arity11(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity6<T6, T7, T8, T9, T10, T11>) = Arity11(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity5<T7, T8, T9, T10, T11>) = Arity11(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity4<T8, T9, T10, T11>) = Arity11(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity3<T9, T10, T11>) = Arity11(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity2<T10, T11>) = Arity11(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity1<T11>) = Arity11(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity1<T1>.plus(that: Arity11<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>) = Arity12(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity2<T1, T2>.plus(that: Arity10<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>) = Arity12(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity3<T1, T2, T3>.plus(that: Arity9<T4, T5, T6, T7, T8, T9, T10, T11, T12>) = Arity12(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity4<T1, T2, T3, T4>.plus(that: Arity8<T5, T6, T7, T8, T9, T10, T11, T12>) = Arity12(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity7<T6, T7, T8, T9, T10, T11, T12>) = Arity12(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity6<T7, T8, T9, T10, T11, T12>) = Arity12(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity5<T8, T9, T10, T11, T12>) = Arity12(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity4<T9, T10, T11, T12>) = Arity12(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity3<T10, T11, T12>) = Arity12(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity2<T11, T12>) = Arity12(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity1<T12>) = Arity12(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity1<T1>.plus(that: Arity12<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>) = Arity13(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity2<T1, T2>.plus(that: Arity11<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>) = Arity13(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity3<T1, T2, T3>.plus(that: Arity10<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>) = Arity13(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity4<T1, T2, T3, T4>.plus(that: Arity9<T5, T6, T7, T8, T9, T10, T11, T12, T13>) = Arity13(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity8<T6, T7, T8, T9, T10, T11, T12, T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity7<T7, T8, T9, T10, T11, T12, T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity6<T8, T9, T10, T11, T12, T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity5<T9, T10, T11, T12, T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity4<T10, T11, T12, T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity3<T11, T12, T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity2<T12, T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity1<T13>) = Arity13(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity1<T1>.plus(that: Arity13<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>) = Arity14(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity2<T1, T2>.plus(that: Arity12<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity3<T1, T2, T3>.plus(that: Arity11<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity4<T1, T2, T3, T4>.plus(that: Arity10<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity9<T6, T7, T8, T9, T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity8<T7, T8, T9, T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity7<T8, T9, T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity6<T9, T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity5<T10, T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity4<T11, T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity3<T12, T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity2<T13, T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity1<T14>) = Arity14(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity1<T1>.plus(that: Arity14<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity2<T1, T2>.plus(that: Arity13<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity3<T1, T2, T3>.plus(that: Arity12<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity4<T1, T2, T3, T4>.plus(that: Arity11<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity10<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity9<T7, T8, T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity8<T8, T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity7<T9, T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity6<T10, T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity5<T11, T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity4<T12, T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity3<T13, T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity2<T14, T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity1<T15>) = Arity15(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity1<T1>.plus(that: Arity15<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity2<T1, T2>.plus(that: Arity14<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity3<T1, T2, T3>.plus(that: Arity13<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity4<T1, T2, T3, T4>.plus(that: Arity12<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity11<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity10<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity9<T8, T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity8<T9, T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity7<T10, T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity6<T11, T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity5<T12, T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity4<T13, T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity3<T14, T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity2<T15, T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity1<T16>) = Arity16(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity1<T1>.plus(that: Arity16<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity2<T1, T2>.plus(that: Arity15<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity3<T1, T2, T3>.plus(that: Arity14<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity4<T1, T2, T3, T4>.plus(that: Arity13<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity12<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity11<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity10<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity9<T9, T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity8<T10, T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity7<T11, T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity6<T12, T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity5<T13, T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity4<T14, T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity3<T15, T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity2<T16, T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity1<T17>) = Arity17(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity1<T1>.plus(that: Arity17<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity2<T1, T2>.plus(that: Arity16<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity3<T1, T2, T3>.plus(that: Arity15<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity4<T1, T2, T3, T4>.plus(that: Arity14<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity13<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity12<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity11<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity10<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity9<T10, T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity8<T11, T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity7<T12, T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity6<T13, T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity5<T14, T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity4<T15, T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity3<T16, T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity2<T17, T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity1<T18>) = Arity18(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity1<T1>.plus(that: Arity18<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity2<T1, T2>.plus(that: Arity17<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity3<T1, T2, T3>.plus(that: Arity16<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity4<T1, T2, T3, T4>.plus(that: Arity15<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity14<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity13<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity12<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity11<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity10<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity9<T11, T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity8<T12, T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity7<T13, T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity6<T14, T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity5<T15, T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity4<T16, T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity3<T17, T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity2<T18, T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity1<T19>) = Arity19(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity1<T1>.plus(that: Arity19<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity2<T1, T2>.plus(that: Arity18<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity3<T1, T2, T3>.plus(that: Arity17<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity4<T1, T2, T3, T4>.plus(that: Arity16<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity15<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity14<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity13<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity12<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity11<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity10<T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity9<T12, T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity8<T13, T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity7<T14, T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity6<T15, T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity5<T16, T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity4<T17, T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity3<T18, T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity2<T19, T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.plus(that: Arity1<T20>) = Arity20(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity1<T1>.plus(that: Arity20<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity2<T1, T2>.plus(that: Arity19<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity3<T1, T2, T3>.plus(that: Arity18<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity4<T1, T2, T3, T4>.plus(that: Arity17<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity16<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity15<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity14<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity13<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity12<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity11<T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity10<T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity9<T13, T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity8<T14, T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity7<T15, T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity6<T16, T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity5<T17, T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity4<T18, T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity3<T19, T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.plus(that: Arity2<T20, T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.plus(that: Arity1<T21>) = Arity21(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity1<T1>.plus(that: Arity21<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity2<T1, T2>.plus(that: Arity20<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity3<T1, T2, T3>.plus(that: Arity19<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity4<T1, T2, T3, T4>.plus(that: Arity18<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity17<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity16<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity15<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity14<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity13<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity12<T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity11<T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity10<T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity9<T14, T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity8<T15, T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity7<T16, T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity6<T17, T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity5<T18, T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity4<T19, T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.plus(that: Arity3<T20, T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.plus(that: Arity2<T21, T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>.plus(that: Arity1<T22>) = Arity22(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity1<T1>.plus(that: Arity22<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity2<T1, T2>.plus(that: Arity21<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity3<T1, T2, T3>.plus(that: Arity20<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity4<T1, T2, T3, T4>.plus(that: Arity19<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity18<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity17<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity16<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity15<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity14<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity13<T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity12<T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity11<T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity10<T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity9<T15, T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity8<T16, T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity7<T17, T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity6<T18, T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity5<T19, T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.plus(that: Arity4<T20, T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.plus(that: Arity3<T21, T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>.plus(that: Arity2<T22, T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23> Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>.plus(that: Arity1<T23>) = Arity23(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity1<T1>.plus(that: Arity23<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22, that._23)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity2<T1, T2>.plus(that: Arity22<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity3<T1, T2, T3>.plus(that: Arity21<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity4<T1, T2, T3, T4>.plus(that: Arity20<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity19<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity18<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity17<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity16<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity15<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity14<T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity13<T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity12<T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity11<T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity10<T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity9<T16, T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity8<T17, T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity7<T18, T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity6<T19, T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.plus(that: Arity5<T20, T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.plus(that: Arity4<T21, T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>.plus(that: Arity3<T22, T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>.plus(that: Arity2<T23, T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24> Arity23<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>.plus(that: Arity1<T24>) = Arity24(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, this._23, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity1<T1>.plus(that: Arity24<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22, that._23, that._24)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity2<T1, T2>.plus(that: Arity23<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22, that._23)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity3<T1, T2, T3>.plus(that: Arity22<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity4<T1, T2, T3, T4>.plus(that: Arity21<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity20<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity19<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity18<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity17<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity16<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity15<T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity14<T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity13<T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity12<T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity11<T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity10<T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity9<T17, T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity8<T18, T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity7<T19, T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.plus(that: Arity6<T20, T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.plus(that: Arity5<T21, T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>.plus(that: Arity4<T22, T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>.plus(that: Arity3<T23, T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity23<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>.plus(that: Arity2<T24, T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, this._23, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25> Arity24<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>.plus(that: Arity1<T25>) = Arity25(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, this._23, this._24, that._1)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity1<T1>.plus(that: Arity25<T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22, that._23, that._24, that._25)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity2<T1, T2>.plus(that: Arity24<T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22, that._23, that._24)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity3<T1, T2, T3>.plus(that: Arity23<T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22, that._23)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity4<T1, T2, T3, T4>.plus(that: Arity22<T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21, that._22)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity5<T1, T2, T3, T4, T5>.plus(that: Arity21<T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20, that._21)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity6<T1, T2, T3, T4, T5, T6>.plus(that: Arity20<T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19, that._20)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity7<T1, T2, T3, T4, T5, T6, T7>.plus(that: Arity19<T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18, that._19)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.plus(that: Arity18<T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17, that._18)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.plus(that: Arity17<T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16, that._17)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.plus(that: Arity16<T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15, that._16)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.plus(that: Arity15<T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14, that._15)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.plus(that: Arity14<T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13, that._14)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.plus(that: Arity13<T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12, that._13)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.plus(that: Arity12<T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11, that._12)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.plus(that: Arity11<T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10, that._11)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.plus(that: Arity10<T17, T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9, that._10)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.plus(that: Arity9<T18, T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8, that._9)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.plus(that: Arity8<T19, T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, that._1, that._2, that._3, that._4, that._5, that._6, that._7, that._8)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.plus(that: Arity7<T20, T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, that._1, that._2, that._3, that._4, that._5, that._6, that._7)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.plus(that: Arity6<T21, T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, that._1, that._2, that._3, that._4, that._5, that._6)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>.plus(that: Arity5<T22, T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, that._1, that._2, that._3, that._4, that._5)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>.plus(that: Arity4<T23, T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, that._1, that._2, that._3, that._4)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity23<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23>.plus(that: Arity3<T24, T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, this._23, that._1, that._2, that._3)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity24<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24>.plus(that: Arity2<T25, T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, this._23, this._24, that._1, that._2)
-@Deprecated("Use Scala tuples instead.")
-infix operator fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25, T26> Arity25<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, T23, T24, T25>.plus(that: Arity1<T26>) = Arity26(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8, this._9, this._10, this._11, this._12, this._13, this._14, this._15, this._16, this._17, this._18, this._19, this._20, this._21, this._22, this._23, this._24, this._25, that._1)
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Utils.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Utils.kt
new file mode 100644
index 00000000..3ceaae5a
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Utils.kt
@@ -0,0 +1,7 @@
+package org.jetbrains.kotlinx.spark.api
+
+const val KOTLIN_VERSION = /*$"\""+kotlin+"\""$*/ /*-*/ ""
+const val SCALA_VERSION = /*$"\""+scala+"\""$*/ /*-*/ ""
+const val SCALA_COMPAT_VERSION = /*$"\""+scalaCompat+"\""$*/ /*-*/ ""
+const val SPARK_VERSION = /*$"\""+spark+"\""$*/ /*-*/ ""
+const val SPARK_MINOR_VERSION = /*$"\""+sparkMinor+"\""$*/ /*-*/ ""
\ No newline at end of file

From 4896354ea718412318723efe45e94ae13897d724 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 16:10:52 +0100
Subject: [PATCH 03/38] adding initial new KotlinTypeInference Encoder
 generator, this time purely in Kotlin. Not complete yet

---
 .../kotlinx/spark/api/Conversions.kt          | 813 +-----------------
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 811 ++++++++++-------
 2 files changed, 515 insertions(+), 1109 deletions(-)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt
index 12b81a0b..9c570738 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt
@@ -36,6 +36,7 @@ import scala.collection.Iterable as ScalaIterable
 import scala.collection.Iterator as ScalaIterator
 import scala.collection.Map as ScalaMap
 import scala.collection.Seq as ScalaSeq
+import scala.collection.immutable.Seq as ScalaImmutableSeq
 import scala.collection.Set as ScalaSet
 import scala.collection.concurrent.Map as ScalaConcurrentMap
 import scala.collection.mutable.Buffer as ScalaMutableBuffer
@@ -124,6 +125,18 @@ fun <A> Collection<A>.asScalaIterable(): ScalaIterable<A> =
     //$scala.collection.JavaConverters.collectionAsScalaIterable<A>(this)
     //#endif
 
+//#if scalaCompat >= 2.13
+/** @see scala.jdk.javaapi.CollectionConverters.asScala for more information. */
+//#else
+//$/** @see scala.collection.JavaConverters.iterableAsScalaIterable for more information. */
+//#endif
+fun <A> Iterable<A>.asScalaSeq(): ScalaImmutableSeq<A> =
+    //#if scalaCompat >= 2.13
+    scala.jdk.javaapi.CollectionConverters.asScala<A>(this).toSeq()
+    //#else
+    //$scala.collection.JavaConverters.iterableAsScalaIterable<A>(this).toSeq()
+    //#endif
+
 //#if scalaCompat >= 2.13
 /** @see scala.jdk.javaapi.CollectionConverters.asScala for more information. */
 //#else
@@ -363,803 +376,3 @@ fun <A, B> ScalaConcurrentMap<A, B>.asKotlinConcurrentMap(): ConcurrentMap<A, B>
     //#else
     //$scala.collection.JavaConverters.mapAsJavaConcurrentMap<A, B>(this)
     //#endif
-
-
-/**
- * Returns a new [Arity2] based on the arguments in the current [Pair].
- */
-@Deprecated("Use Scala tuples instead.", ReplaceWith("this.toTuple()", "scala.Tuple2"))
-fun <T1, T2> Pair<T1, T2>.toArity(): Arity2<T1, T2> = Arity2<T1, T2>(first, second)
-
-/**
- * Returns a new [Pair] based on the arguments in the current [Arity2].
- */
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2> Arity2<T1, T2>.toPair(): Pair<T1, T2> = Pair<T1, T2>(_1, _2)
-
-/**
- * Returns a new [Arity3] based on the arguments in the current [Triple].
- */
-@Deprecated("Use Scala tuples instead.", ReplaceWith("this.toTuple()", "scala.Tuple3"))
-fun <T1, T2, T3> Triple<T1, T2, T3>.toArity(): Arity3<T1, T2, T3> = Arity3<T1, T2, T3>(first, second, third)
-
-/**
- * Returns a new [Triple] based on the arguments in the current [Arity3].
- */
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3> Arity3<T1, T2, T3>.toTriple(): Triple<T1, T2, T3> = Triple<T1, T2, T3>(_1, _2, _3)
-
-
-/**
- * Returns a new Arity1 based on this Tuple1.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1> Tuple1<T1>.toArity(): Arity1<T1> = Arity1<T1>(this._1())
-
-/**
- * Returns a new Arity2 based on this Tuple2.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2> Tuple2<T1, T2>.toArity(): Arity2<T1, T2> = Arity2<T1, T2>(this._1(), this._2())
-
-/**
- * Returns a new Arity3 based on this Tuple3.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3> Tuple3<T1, T2, T3>.toArity(): Arity3<T1, T2, T3> = Arity3<T1, T2, T3>(this._1(), this._2(), this._3())
-
-/**
- * Returns a new Arity4 based on this Tuple4.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4> Tuple4<T1, T2, T3, T4>.toArity(): Arity4<T1, T2, T3, T4> =
-    Arity4<T1, T2, T3, T4>(this._1(), this._2(), this._3(), this._4())
-
-/**
- * Returns a new Arity5 based on this Tuple5.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5> Tuple5<T1, T2, T3, T4, T5>.toArity(): Arity5<T1, T2, T3, T4, T5> =
-    Arity5<T1, T2, T3, T4, T5>(this._1(), this._2(), this._3(), this._4(), this._5())
-
-/**
- * Returns a new Arity6 based on this Tuple6.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6> Tuple6<T1, T2, T3, T4, T5, T6>.toArity(): Arity6<T1, T2, T3, T4, T5, T6> =
-    Arity6<T1, T2, T3, T4, T5, T6>(this._1(), this._2(), this._3(), this._4(), this._5(), this._6())
-
-/**
- * Returns a new Arity7 based on this Tuple7.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7> Tuple7<T1, T2, T3, T4, T5, T6, T7>.toArity(): Arity7<T1, T2, T3, T4, T5, T6, T7> =
-    Arity7<T1, T2, T3, T4, T5, T6, T7>(this._1(), this._2(), this._3(), this._4(), this._5(), this._6(), this._7())
-
-/**
- * Returns a new Arity8 based on this Tuple8.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8> Tuple8<T1, T2, T3, T4, T5, T6, T7, T8>.toArity(): Arity8<T1, T2, T3, T4, T5, T6, T7, T8> =
-    Arity8<T1, T2, T3, T4, T5, T6, T7, T8>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8()
-    )
-
-/**
- * Returns a new Arity9 based on this Tuple9.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Tuple9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.toArity(): Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9> =
-    Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9()
-    )
-
-/**
- * Returns a new Arity10 based on this Tuple10.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Tuple10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.toArity(): Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> =
-    Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10()
-    )
-
-/**
- * Returns a new Arity11 based on this Tuple11.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Tuple11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.toArity(): Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> =
-    Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11()
-    )
-
-/**
- * Returns a new Arity12 based on this Tuple12.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Tuple12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.toArity(): Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> =
-    Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12()
-    )
-
-/**
- * Returns a new Arity13 based on this Tuple13.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Tuple13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.toArity(): Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> =
-    Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13()
-    )
-
-/**
- * Returns a new Arity14 based on this Tuple14.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Tuple14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.toArity(): Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> =
-    Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14()
-    )
-
-/**
- * Returns a new Arity15 based on this Tuple15.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Tuple15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.toArity(): Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> =
-    Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15()
-    )
-
-/**
- * Returns a new Arity16 based on this Tuple16.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Tuple16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.toArity(): Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> =
-    Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15(),
-        this._16()
-    )
-
-/**
- * Returns a new Arity17 based on this Tuple17.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Tuple17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.toArity(): Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> =
-    Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15(),
-        this._16(),
-        this._17()
-    )
-
-/**
- * Returns a new Arity18 based on this Tuple18.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Tuple18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.toArity(): Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> =
-    Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15(),
-        this._16(),
-        this._17(),
-        this._18()
-    )
-
-/**
- * Returns a new Arity19 based on this Tuple19.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Tuple19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.toArity(): Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> =
-    Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15(),
-        this._16(),
-        this._17(),
-        this._18(),
-        this._19()
-    )
-
-/**
- * Returns a new Arity20 based on this Tuple20.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Tuple20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.toArity(): Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> =
-    Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15(),
-        this._16(),
-        this._17(),
-        this._18(),
-        this._19(),
-        this._20()
-    )
-
-/**
- * Returns a new Arity21 based on this Tuple21.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Tuple21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>.toArity(): Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> =
-    Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15(),
-        this._16(),
-        this._17(),
-        this._18(),
-        this._19(),
-        this._20(),
-        this._21()
-    )
-
-/**
- * Returns a new Arity22 based on this Tuple22.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Tuple22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>.toArity(): Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> =
-    Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>(
-        this._1(),
-        this._2(),
-        this._3(),
-        this._4(),
-        this._5(),
-        this._6(),
-        this._7(),
-        this._8(),
-        this._9(),
-        this._10(),
-        this._11(),
-        this._12(),
-        this._13(),
-        this._14(),
-        this._15(),
-        this._16(),
-        this._17(),
-        this._18(),
-        this._19(),
-        this._20(),
-        this._21(),
-        this._22()
-    )
-
-/**
- * Returns a new Tuple1 based on this Arity1.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1> Arity1<T1>.toTuple(): Tuple1<T1> = Tuple1<T1>(this._1)
-
-/**
- * Returns a new Tuple2 based on this Arity2.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2> Arity2<T1, T2>.toTuple(): Tuple2<T1, T2> = Tuple2<T1, T2>(this._1, this._2)
-
-/**
- * Returns a new Tuple3 based on this Arity3.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3> Arity3<T1, T2, T3>.toTuple(): Tuple3<T1, T2, T3> = Tuple3<T1, T2, T3>(this._1, this._2, this._3)
-
-/**
- * Returns a new Tuple4 based on this Arity4.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4> Arity4<T1, T2, T3, T4>.toTuple(): Tuple4<T1, T2, T3, T4> =
-    Tuple4<T1, T2, T3, T4>(this._1, this._2, this._3, this._4)
-
-/**
- * Returns a new Tuple5 based on this Arity5.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5> Arity5<T1, T2, T3, T4, T5>.toTuple(): Tuple5<T1, T2, T3, T4, T5> =
-    Tuple5<T1, T2, T3, T4, T5>(this._1, this._2, this._3, this._4, this._5)
-
-/**
- * Returns a new Tuple6 based on this Arity6.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6> Arity6<T1, T2, T3, T4, T5, T6>.toTuple(): Tuple6<T1, T2, T3, T4, T5, T6> =
-    Tuple6<T1, T2, T3, T4, T5, T6>(this._1, this._2, this._3, this._4, this._5, this._6)
-
-/**
- * Returns a new Tuple7 based on this Arity7.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7> Arity7<T1, T2, T3, T4, T5, T6, T7>.toTuple(): Tuple7<T1, T2, T3, T4, T5, T6, T7> =
-    Tuple7<T1, T2, T3, T4, T5, T6, T7>(this._1, this._2, this._3, this._4, this._5, this._6, this._7)
-
-/**
- * Returns a new Tuple8 based on this Arity8.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8> Arity8<T1, T2, T3, T4, T5, T6, T7, T8>.toTuple(): Tuple8<T1, T2, T3, T4, T5, T6, T7, T8> =
-    Tuple8<T1, T2, T3, T4, T5, T6, T7, T8>(this._1, this._2, this._3, this._4, this._5, this._6, this._7, this._8)
-
-/**
- * Returns a new Tuple9 based on this Arity9.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9> Arity9<T1, T2, T3, T4, T5, T6, T7, T8, T9>.toTuple(): Tuple9<T1, T2, T3, T4, T5, T6, T7, T8, T9> =
-    Tuple9<T1, T2, T3, T4, T5, T6, T7, T8, T9>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9
-    )
-
-/**
- * Returns a new Tuple10 based on this Arity10.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> Arity10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>.toTuple(): Tuple10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10> =
-    Tuple10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10
-    )
-
-/**
- * Returns a new Tuple11 based on this Arity11.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> Arity11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>.toTuple(): Tuple11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11> =
-    Tuple11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11
-    )
-
-/**
- * Returns a new Tuple12 based on this Arity12.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> Arity12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>.toTuple(): Tuple12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12> =
-    Tuple12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12
-    )
-
-/**
- * Returns a new Tuple13 based on this Arity13.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> Arity13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>.toTuple(): Tuple13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> =
-    Tuple13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13
-    )
-
-/**
- * Returns a new Tuple14 based on this Arity14.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> Arity14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>.toTuple(): Tuple14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14> =
-    Tuple14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14
-    )
-
-/**
- * Returns a new Tuple15 based on this Arity15.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> Arity15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>.toTuple(): Tuple15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15> =
-    Tuple15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15
-    )
-
-/**
- * Returns a new Tuple16 based on this Arity16.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> Arity16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>.toTuple(): Tuple16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> =
-    Tuple16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15,
-        this._16
-    )
-
-/**
- * Returns a new Tuple17 based on this Arity17.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> Arity17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>.toTuple(): Tuple17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17> =
-    Tuple17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15,
-        this._16,
-        this._17
-    )
-
-/**
- * Returns a new Tuple18 based on this Arity18.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> Arity18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>.toTuple(): Tuple18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18> =
-    Tuple18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15,
-        this._16,
-        this._17,
-        this._18
-    )
-
-/**
- * Returns a new Tuple19 based on this Arity19.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> Arity19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>.toTuple(): Tuple19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19> =
-    Tuple19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15,
-        this._16,
-        this._17,
-        this._18,
-        this._19
-    )
-
-/**
- * Returns a new Tuple20 based on this Arity20.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> Arity20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>.toTuple(): Tuple20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20> =
-    Tuple20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15,
-        this._16,
-        this._17,
-        this._18,
-        this._19,
-        this._20
-    )
-
-/**
- * Returns a new Tuple21 based on this Arity21.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> Arity21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>.toTuple(): Tuple21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> =
-    Tuple21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15,
-        this._16,
-        this._17,
-        this._18,
-        this._19,
-        this._20,
-        this._21
-    )
-
-/**
- * Returns a new Tuple22 based on this Arity22.
- **/
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-fun <T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> Arity22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>.toTuple(): Tuple22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22> =
-    Tuple22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22>(
-        this._1,
-        this._2,
-        this._3,
-        this._4,
-        this._5,
-        this._6,
-        this._7,
-        this._8,
-        this._9,
-        this._10,
-        this._11,
-        this._12,
-        this._13,
-        this._14,
-        this._15,
-        this._16,
-        this._17,
-        this._18,
-        this._19,
-        this._20,
-        this._21,
-        this._22
-    )
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index ecf62b19..54207bf5 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -29,99 +29,53 @@
 
 package org.jetbrains.kotlinx.spark.api
 
-import org.apache.spark.sql.*
-import org.apache.spark.sql.Encoders.*
-import org.apache.spark.sql.KotlinReflection.*
+import org.apache.spark.sql.Encoder
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.catalyst.DefinedByConstructorParams
+import org.apache.spark.sql.catalyst.SerializerBuildHelper
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.ProductEncoder
 import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
-import org.apache.spark.sql.types.*
+import org.apache.spark.sql.catalyst.encoders.OuterScopes
+import org.apache.spark.sql.catalyst.expressions.objects.Invoke
+import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.Decimal
+import org.apache.spark.sql.types.Metadata
+import org.apache.spark.sql.types.SQLUserDefinedType
+import org.apache.spark.sql.types.UDTRegistration
+import org.apache.spark.sql.types.UserDefinedType
 import org.apache.spark.unsafe.types.CalendarInterval
-import scala.Product
 import scala.reflect.ClassTag
-import java.beans.PropertyDescriptor
-import java.math.BigDecimal
-import java.math.BigInteger
-import java.sql.Date
-import java.sql.Timestamp
-import java.time.*
-import java.util.*
-import java.util.concurrent.ConcurrentHashMap
-import kotlin.Any
-import kotlin.Array
-import kotlin.Boolean
-import kotlin.BooleanArray
-import kotlin.Byte
-import kotlin.ByteArray
-import kotlin.Double
-import kotlin.DoubleArray
-import kotlin.ExperimentalStdlibApi
-import kotlin.Float
-import kotlin.FloatArray
-import kotlin.IllegalArgumentException
-import kotlin.Int
-import kotlin.IntArray
-import kotlin.Long
-import kotlin.LongArray
-import kotlin.OptIn
-import kotlin.Short
-import kotlin.ShortArray
-import kotlin.String
-import kotlin.Suppress
-import kotlin.reflect.*
-import kotlin.reflect.full.findAnnotation
+import java.io.Serializable
+import kotlin.reflect.KClass
+import kotlin.reflect.KMutableProperty
+import kotlin.reflect.KType
+import kotlin.reflect.KTypeProjection
+import kotlin.reflect.full.createType
+import kotlin.reflect.full.declaredMemberProperties
 import kotlin.reflect.full.hasAnnotation
 import kotlin.reflect.full.isSubclassOf
+import kotlin.reflect.full.isSubtypeOf
 import kotlin.reflect.full.primaryConstructor
+import kotlin.reflect.full.staticFunctions
+import kotlin.reflect.full.withNullability
+import kotlin.reflect.jvm.javaMethod
 import kotlin.reflect.jvm.jvmName
-import kotlin.to
-
-@JvmField
-val ENCODERS: Map<KClass<*>, Encoder<*>> = mapOf(
-    Boolean::class to BOOLEAN(),
-    Byte::class to BYTE(),
-    Short::class to SHORT(),
-    Int::class to INT(),
-    Long::class to LONG(),
-    Float::class to FLOAT(),
-    Double::class to DOUBLE(),
-    String::class to STRING(),
-    BigDecimal::class to DECIMAL(),
-    Date::class to DATE(),
-    LocalDate::class to LOCALDATE(),
-    Timestamp::class to TIMESTAMP(),
-    Instant::class to INSTANT(),
-    ByteArray::class to BINARY(),
-    //#if sparkMinor >= 3.2
-    Duration::class to DURATION(),
-    Period::class to PERIOD(),
-    //#endif
-)
-
-private fun checkIfEncoderRequiresNewerVersion(kClass: KClass<*>) {
-    when (kClass) {
-        //#if sparkMinor < 3.2
-        //$Duration::class, Period::class -> throw IllegalArgumentException("$kClass is supported in Spark 3.2+")
-        //#endif
-    }
-}
-
-private val knownDataTypes: Map<KClass<out Any>, DataType> = mapOf(
-    Byte::class to DataTypes.ByteType,
-    Short::class to DataTypes.ShortType,
-    Int::class to DataTypes.IntegerType,
-    Long::class to DataTypes.LongType,
-    Boolean::class to DataTypes.BooleanType,
-    Float::class to DataTypes.FloatType,
-    Double::class to DataTypes.DoubleType,
-    String::class to DataTypes.StringType,
-    LocalDate::class to DataTypes.DateType,
-    Date::class to DataTypes.DateType,
-    Timestamp::class to DataTypes.TimestampType,
-    Instant::class to DataTypes.TimestampType,
-    ByteArray::class to DataTypes.BinaryType,
-    Decimal::class to DecimalType.SYSTEM_DEFAULT(),
-    BigDecimal::class to DecimalType.SYSTEM_DEFAULT(),
-    BigInteger::class to DecimalType.SYSTEM_DEFAULT(),
-    CalendarInterval::class to DataTypes.CalendarIntervalType,
+import kotlin.reflect.typeOf
+
+fun <T : Any> kotlinEncoderFor(
+    kClass: KClass<T>,
+    arguments: List<KTypeProjection> = emptyList(),
+    nullable: Boolean = false,
+    annotations: List<Annotation> = emptyList()
+): Encoder<T> = ExpressionEncoder.apply(
+    KotlinTypeInference.encoderFor(
+        kClass = kClass,
+        arguments = arguments,
+        nullable = nullable,
+        annotations = annotations,
+    )
 )
 
 /**
@@ -133,253 +87,492 @@ private val knownDataTypes: Map<KClass<out Any>, DataType> = mapOf(
  * @param T type, supported by Spark
  * @return generated encoder
  */
-@OptIn(ExperimentalStdlibApi::class)
-inline fun <reified T> encoder(): Encoder<T> = generateEncoder(typeOf<T>(), T::class)
+inline fun <reified T> kotlinEncoderFor(): Encoder<T> =
+    ExpressionEncoder.apply(
+        KotlinTypeInference.encoderFor<T>()
+    )
+
+fun <T> kotlinEncoderFor(kType: KType): Encoder<T> =
+    ExpressionEncoder.apply(
+        KotlinTypeInference.encoderFor(kType)
+    )
 
-/**
- * @see encoder
- */
-@Suppress("UNCHECKED_CAST")
-fun <T> generateEncoder(type: KType, cls: KClass<*>): Encoder<T> {
-    checkIfEncoderRequiresNewerVersion(cls)
-    return when {
-        isSupportedByKotlinClassEncoder(cls) -> kotlinClassEncoder(schema = memoizedSchema(type), kClass = cls)
-        else -> ENCODERS[cls] as? Encoder<T>? ?: bean(cls.java)
-    } as Encoder<T>
-}
 
-private fun isSupportedByKotlinClassEncoder(cls: KClass<*>): Boolean =
-    when {
-        cls == ByteArray::class -> false // uses binary encoder
-        cls.isData -> true
-        cls.isSubclassOf(Map::class) -> true
-        cls.isSubclassOf(Iterable::class) -> true
-        cls.isSubclassOf(Product::class) -> true
-        cls.java.isArray -> true
-        cls.hasAnnotation<SQLUserDefinedType>() -> true
-        UDTRegistration.exists(cls.jvmName) -> true
-        else -> false
+@Deprecated("Use kotlinEncoderFor instead", ReplaceWith("kotlinEncoderFor<T>()"))
+inline fun <reified T> encoder(): Encoder<T> = kotlinEncoderFor(typeOf<T>())
+
+@Deprecated("Use kotlinEncoderFor to get the schema.", ReplaceWith("kotlinEncoderFor<T>().schema()"))
+inline fun <reified T> schema(): DataType = kotlinEncoderFor<T>().schema()
+
+@Deprecated("Use kotlinEncoderFor to get the schema.", ReplaceWith("kotlinEncoderFor<Any?>(kType).schema()"))
+fun schema(kType: KType): DataType = kotlinEncoderFor<Any?>(kType).schema()
+
+object KotlinTypeInference {
+
+    /**
+     * @param kClass the class for which to infer the encoder.
+     * @param arguments the generic type arguments for the class.
+     * @param nullable whether the class is nullable.
+     * @param annotations the annotations for the class.
+     * @return an [AgnosticEncoder] for the given class arguments.
+     */
+    fun <T : Any> encoderFor(
+        kClass: KClass<T>,
+        arguments: List<KTypeProjection> = emptyList(),
+        nullable: Boolean = false,
+        annotations: List<Annotation> = emptyList()
+    ): AgnosticEncoder<T> = encoderFor(
+        kType = kClass.createType(
+            arguments = arguments,
+            nullable = nullable,
+            annotations = annotations,
+        )
+    )
+
+    /**
+     * @return an [AgnosticEncoder] for the given type [T].
+     */
+    @JvmName("inlineEncoderFor")
+    inline fun <reified T> encoderFor(): AgnosticEncoder<T> =
+        encoderFor(kType = typeOf<T>())
+
+    /**
+     * Main entry function for the inference of encoders.
+     *
+     * @return an [AgnosticEncoder] for the given [kType].
+     */
+    fun <T> encoderFor(kType: KType): AgnosticEncoder<T> =
+        encoderFor(
+            currentType = kType,
+            seenTypeSet = emptySet(),
+            typeVariables = emptyMap(),
+        ) as AgnosticEncoder<T>
+
+
+    private inline fun <reified T> KType.isSubtypeOf(): Boolean = isSubtypeOf(typeOf<T>())
+
+    private val KType.simpleName
+        get() = toString().removeSuffix("?").removeSuffix("!")
+
+    private fun KType.isDefinedByScalaConstructorParams(): Boolean = when {
+        isSubtypeOf<scala.Option<*>?>() -> arguments.first().type!!.isDefinedByScalaConstructorParams()
+        else -> isSubtypeOf<scala.Product?>() || isSubtypeOf<DefinedByConstructorParams?>()
     }
 
+    private fun KType.getScalaConstructorParameters(
+        genericTypeMap: Map<String, KType>,
+        kClass: KClass<*> = classifier as KClass<*>,
+    ): List<Pair<String, KType>> {
+        val constructor =
+            kClass.primaryConstructor
+                ?: kClass.constructors.firstOrNull()
+                ?: kClass.staticFunctions.firstOrNull {
+                    it.name == "apply" && it.returnType.classifier == kClass
+                }
+                ?: error("couldn't find constructor for $this")
+
+        val kParameters = constructor.parameters
+        val params = kParameters.map { param ->
+            val paramType = if (param.type.isSubtypeOf<scala.AnyVal>()) {
+                // Replace value class with underlying type
+                param.type.getScalaConstructorParameters(genericTypeMap).first().second
+            } else {
+                // check if the type was a filled-in generic type, otherwise just use the given type
+                genericTypeMap[param.type.simpleName] ?: param.type
+            }
 
-private fun <T> kotlinClassEncoder(schema: DataType, kClass: KClass<*>): Encoder<T> {
-    val serializer =
-        if (schema is DataTypeWithClass) serializerFor(kClass.java, schema)
-        else serializerForType(getType(kClass.java))
+            param.name!! to paramType
+        }
 
-    val deserializer =
-        if (schema is DataTypeWithClass) deserializerFor(kClass.java, schema)
-        else deserializerForType(getType(kClass.java))
+        return params
+    }
 
-    return ExpressionEncoder(serializer, deserializer, ClassTag.apply(kClass.java))
-}
+    /**
+     * Can merge two maps transitively.
+     * This means that given
+     * ```
+     * a: { A -> B, D -> E }
+     * b: { B -> C, G -> F }
+     * ```
+     * it will return
+     * ```
+     * { A -> C, D -> E, G -> F }
+     * ```
+     * @param valueToKey a function that returns (an optional) key for a given value
+     */
+    private fun <K, V> transitiveMerge(a: Map<K, V>, b: Map<K, V>, valueToKey: (V) -> K?): Map<K, V> =
+        a + b.mapValues { a.getOrDefault(valueToKey(it.value), it.value) }
+
+    /**
+     *
+     */
+    private fun encoderFor(
+        currentType: KType,
+        seenTypeSet: Set<KType>,
+
+        // how the generic types of the data class (like T, S) are filled in for this instance of the class
+        typeVariables: Map<String, KType>,
+    ): AgnosticEncoder<*> {
+        val kClass =
+            currentType.classifier as? KClass<*> ?: throw IllegalArgumentException("Unsupported type $currentType")
+        val jClass = kClass.java
+
+        // given t == typeOf<Pair<Int, Pair<String, Any>>>(), these are [Int, Pair<String, Any>]
+        val tArguments = currentType.arguments
+
+        // the type arguments of the class, like T, S
+        val expectedTypeParameters = kClass.typeParameters.map { it }
+
+        @Suppress("NAME_SHADOWING")
+        val typeVariables = transitiveMerge(
+            a = typeVariables,
+            b = (expectedTypeParameters zip tArguments).toMap()
+                .mapValues { (expectedType, givenType) ->
+                    if (givenType.type != null) return@mapValues givenType.type!! // fill in the type as is
+
+                    // when givenType is *, use the upperbound
+                    expectedType.upperBounds.first()
+                }.mapKeys { it.key.name }
+        ) { it.simpleName }
+
+        return when {
+            // primitives java / kotlin
+            currentType == typeOf<Boolean>() -> AgnosticEncoders.`PrimitiveBooleanEncoder$`.`MODULE$`
+            currentType == typeOf<Byte>() -> AgnosticEncoders.`PrimitiveByteEncoder$`.`MODULE$`
+            currentType == typeOf<Short>() -> AgnosticEncoders.`PrimitiveShortEncoder$`.`MODULE$`
+            currentType == typeOf<Int>() -> AgnosticEncoders.`PrimitiveIntEncoder$`.`MODULE$`
+            currentType == typeOf<Long>() -> AgnosticEncoders.`PrimitiveLongEncoder$`.`MODULE$`
+            currentType == typeOf<Float>() -> AgnosticEncoders.`PrimitiveFloatEncoder$`.`MODULE$`
+            currentType == typeOf<Double>() -> AgnosticEncoders.`PrimitiveDoubleEncoder$`.`MODULE$`
+
+            // primitives scala
+            currentType == typeOf<scala.Boolean>() -> AgnosticEncoders.`PrimitiveBooleanEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Byte>() -> AgnosticEncoders.`PrimitiveByteEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Short>() -> AgnosticEncoders.`PrimitiveShortEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Int>() -> AgnosticEncoders.`PrimitiveIntEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Long>() -> AgnosticEncoders.`PrimitiveLongEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Float>() -> AgnosticEncoders.`PrimitiveFloatEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Double>() -> AgnosticEncoders.`PrimitiveDoubleEncoder$`.`MODULE$`
+
+            // boxed primitives java / kotlin
+            currentType == typeOf<Boolean?>() -> AgnosticEncoders.`BoxedBooleanEncoder$`.`MODULE$`
+            currentType == typeOf<Byte?>() -> AgnosticEncoders.`BoxedByteEncoder$`.`MODULE$`
+            currentType == typeOf<Short?>() -> AgnosticEncoders.`BoxedShortEncoder$`.`MODULE$`
+            currentType == typeOf<Int?>() -> AgnosticEncoders.`BoxedIntEncoder$`.`MODULE$`
+            currentType == typeOf<Long?>() -> AgnosticEncoders.`BoxedLongEncoder$`.`MODULE$`
+            currentType == typeOf<Float?>() -> AgnosticEncoders.`BoxedFloatEncoder$`.`MODULE$`
+            currentType == typeOf<Double?>() -> AgnosticEncoders.`BoxedDoubleEncoder$`.`MODULE$`
+
+            // boxed primitives scala
+            currentType == typeOf<scala.Boolean?>() -> AgnosticEncoders.`BoxedBooleanEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Byte?>() -> AgnosticEncoders.`BoxedByteEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Short?>() -> AgnosticEncoders.`BoxedShortEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Int?>() -> AgnosticEncoders.`BoxedIntEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Long?>() -> AgnosticEncoders.`BoxedLongEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Float?>() -> AgnosticEncoders.`BoxedFloatEncoder$`.`MODULE$`
+            currentType == typeOf<scala.Double?>() -> AgnosticEncoders.`BoxedDoubleEncoder$`.`MODULE$`
+
+            // leaf encoders
+            currentType.isSubtypeOf<String?>() -> AgnosticEncoders.`StringEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Decimal?>() -> AgnosticEncoders.DEFAULT_SPARK_DECIMAL_ENCODER()
+            currentType.isSubtypeOf<scala.math.BigDecimal?>() -> AgnosticEncoders.DEFAULT_SCALA_DECIMAL_ENCODER()
+            currentType.isSubtypeOf<scala.math.BigInt?>() -> AgnosticEncoders.`ScalaBigIntEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<ByteArray?>() -> AgnosticEncoders.`BinaryEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<java.math.BigDecimal?>() -> AgnosticEncoders.DEFAULT_JAVA_DECIMAL_ENCODER()
+            currentType.isSubtypeOf<java.math.BigInteger?>() -> AgnosticEncoders.`JavaBigIntEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<CalendarInterval?>() -> AgnosticEncoders.`CalendarIntervalEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<java.time.LocalDate?>() -> AgnosticEncoders.STRICT_LOCAL_DATE_ENCODER()
+            currentType.isSubtypeOf<kotlinx.datetime.LocalDate?>() -> TODO("User java.time.LocalDate for now.")
+            currentType.isSubtypeOf<java.sql.Date?>() -> AgnosticEncoders.STRICT_DATE_ENCODER()
+            currentType.isSubtypeOf<java.time.Instant?>() -> AgnosticEncoders.STRICT_INSTANT_ENCODER()
+            currentType.isSubtypeOf<kotlinx.datetime.Instant?>() -> TODO("Use java.time.Instant for now.")
+            currentType.isSubtypeOf<kotlin.time.TimeMark?>() -> TODO("Use java.time.Instant for now.")
+            currentType.isSubtypeOf<java.sql.Timestamp?>() -> AgnosticEncoders.STRICT_TIMESTAMP_ENCODER()
+            currentType.isSubtypeOf<java.time.LocalDateTime?>() -> AgnosticEncoders.`LocalDateTimeEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<kotlinx.datetime.LocalDateTime?>() -> TODO("Use java.time.LocalDateTime for now.")
+            currentType.isSubtypeOf<java.time.Duration?>() -> AgnosticEncoders.`DayTimeIntervalEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<kotlin.time.Duration?>() -> TODO("Use java.time.Duration for now.")
+            currentType.isSubtypeOf<java.time.Period?>() -> AgnosticEncoders.`YearMonthIntervalEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<kotlinx.datetime.DateTimePeriod?>() -> TODO("Use java.time.Period for now.")
+            currentType.isSubtypeOf<kotlinx.datetime.DatePeriod?>() -> TODO("Use java.time.Period for now.")
+            currentType.isSubtypeOf<Row?>() -> AgnosticEncoders.`UnboundRowEncoder$`.`MODULE$`
+
+            // enums
+            kClass.isSubclassOf(Enum::class) -> AgnosticEncoders.JavaEnumEncoder(ClassTag.apply<Nothing>(jClass))
+
+            // TODO test
+            kClass.isSubclassOf(scala.Enumeration.Value::class) ->
+                AgnosticEncoders.ScalaEnumEncoder(jClass.superclass, ClassTag.apply<Nothing>(jClass))
+
+            // udts
+            currentType.hasAnnotation<SQLUserDefinedType>() -> {
+                val annotation = jClass.getAnnotation(SQLUserDefinedType::class.java)!!
+                val udtClass = annotation.udt
+                val udt = udtClass.primaryConstructor!!.call()
+                AgnosticEncoders.UDTEncoder(udt, udtClass.java)
+            }
 
-/**
- * Not meant to be used by the user explicitly.
- *
- * This function generates the DataType schema for supported classes, including Kotlin data classes, [Map],
- * [Iterable], [Product], [Array], and combinations of those.
- *
- * It's mainly used by [generateEncoder]/[encoder].
- */
-@OptIn(ExperimentalStdlibApi::class)
-fun schema(type: KType, map: Map<String, KType> = mapOf()): DataType {
-    val primitiveSchema = knownDataTypes[type.classifier]
-    if (primitiveSchema != null)
-        return KSimpleTypeWrapper(
-            /* dt = */ primitiveSchema,
-            /* cls = */ (type.classifier!! as KClass<*>).java,
-            /* nullable = */ type.isMarkedNullable
-        )
+            UDTRegistration.exists(kClass.jvmName) -> {
+                val udt = UDTRegistration.getUDTFor(kClass.jvmName)!!
+                    .get()!!
+                    .getConstructor()
+                    .newInstance() as UserDefinedType<*>
 
-    val klass = type.classifier as? KClass<*> ?: throw IllegalArgumentException("Unsupported type $type")
-    val args = type.arguments
+                AgnosticEncoders.UDTEncoder(udt, udt.javaClass)
+            }
 
-    val types = transitiveMerge(
-        map,
-        klass.typeParameters.zip(args).associate {
-            it.first.name to it.second.type!!
-        },
-    )
+            currentType.isSubtypeOf<scala.Option<*>>() -> {
+                val elementEncoder = encoderFor(
+                    currentType = tArguments.first().type!!,
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.OptionEncoder(elementEncoder)
+            }
 
-    return when {
-        klass.isSubclassOf(Enum::class) ->
-            KSimpleTypeWrapper(
-                /* dt = */ DataTypes.StringType,
-                /* cls = */ klass.java,
-                /* nullable = */ type.isMarkedNullable
-            )
-
-        klass.isSubclassOf(Iterable::class) || klass.java.isArray -> {
-            val listParam = if (klass.java.isArray) {
-                when (klass) {
-                    IntArray::class -> typeOf<Int>()
-                    LongArray::class -> typeOf<Long>()
-                    FloatArray::class -> typeOf<Float>()
-                    DoubleArray::class -> typeOf<Double>()
-                    BooleanArray::class -> typeOf<Boolean>()
-                    ShortArray::class -> typeOf<Short>()
-                    /* ByteArray handled by BinaryType */
-                    else -> types.getValue(klass.typeParameters[0].name)
-                }
-            } else types.getValue(klass.typeParameters[0].name)
-
-            val dataType = DataTypes.createArrayType(
-                /* elementType = */ schema(listParam, types),
-                /* containsNull = */ listParam.isMarkedNullable
-            )
-
-            KComplexTypeWrapper(
-                /* dt = */ dataType,
-                /* cls = */ klass.java,
-                /* nullable = */ type.isMarkedNullable
-            )
-        }
+            // primitive arrays
+            currentType.isSubtypeOf<IntArray?>() -> {
+                val elementEncoder = encoderFor(
+                    currentType = typeOf<Int>(),
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.ArrayEncoder(elementEncoder, false)
+            }
 
-        klass == Map::class -> {
-            val mapKeyParam = types.getValue(klass.typeParameters[0].name)
-            val mapValueParam = types.getValue(klass.typeParameters[1].name)
-
-            val dataType = DataTypes.createMapType(
-                /* keyType = */ schema(mapKeyParam, types),
-                /* valueType = */ schema(mapValueParam, types),
-                /* valueContainsNull = */ true
-            )
-
-            KComplexTypeWrapper(
-                /* dt = */ dataType,
-                /* cls = */ klass.java,
-                /* nullable = */ type.isMarkedNullable
-            )
-        }
+            currentType.isSubtypeOf<DoubleArray?>() -> {
+                val elementEncoder = encoderFor(
+                    currentType = typeOf<Double>(),
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.ArrayEncoder(elementEncoder, false)
+            }
 
-        klass.isData -> {
-
-            val structType = StructType(
-                klass
-                    .primaryConstructor!!
-                    .parameters
-                    .filter { it.findAnnotation<Transient>() == null }
-                    .map {
-                        val projectedType = types[it.type.toString()] ?: it.type
-
-                        val readMethodName = when {
-                            it.name!!.startsWith("is") -> it.name!!
-                            else -> "get${it.name!!.replaceFirstChar { it.uppercase() }}"
-                        }
-
-                        val propertyDescriptor = PropertyDescriptor(
-                            /* propertyName = */ it.name,
-                            /* beanClass = */ klass.java,
-                            /* readMethodName = */ readMethodName,
-                            /* writeMethodName = */ null
-                        )
-
-                        KStructField(
-                            /* getterName = */ propertyDescriptor.readMethod.name,
-                            /* delegate = */ StructField(
-                                /* name = */ it.name,
-                                /* dataType = */ schema(projectedType, types),
-                                /* nullable = */ projectedType.isMarkedNullable,
-                                /* metadata = */ Metadata.empty()
-                            )
-                        )
-                    }
-                    .toTypedArray()
-            )
-            KDataTypeWrapper(structType, klass.java, true)
-        }
-        klass.isSubclassOf(Product::class) -> {
+            currentType.isSubtypeOf<FloatArray?>() -> {
+                val elementEncoder = encoderFor(
+                    currentType = typeOf<Float>(),
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.ArrayEncoder(elementEncoder, false)
+            }
 
-            // create map from T1, T2 to Int, String etc.
-            val typeMap = klass.constructors.first().typeParameters.map { it.name }
-                .zip(
-                    type.arguments.map { it.type }
+            currentType.isSubtypeOf<ShortArray?>() -> {
+                val elementEncoder = encoderFor(
+                    currentType = typeOf<Short>(),
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
                 )
-                .toMap()
+                AgnosticEncoders.ArrayEncoder(elementEncoder, false)
+            }
 
-            // collect params by name and actual type
-            val params = klass.constructors.first().parameters.map {
-                val typeName = it.type.toString().replace("!", "")
-                it.name to (typeMap[typeName] ?: it.type)
+            currentType.isSubtypeOf<LongArray?>() -> {
+                val elementEncoder = encoderFor(
+                    currentType = typeOf<Long>(),
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.ArrayEncoder(elementEncoder, false)
             }
 
-            val structType = DataTypes.createStructType(
-                params.map { (fieldName, fieldType) ->
-                    val dataType = schema(fieldType, types)
-
-                    KStructField(
-                        /* getterName = */ fieldName,
-                        /* delegate = */ StructField(
-                            /* name = */ fieldName,
-                            /* dataType = */ dataType,
-                            /* nullable = */ fieldType.isMarkedNullable,
-                            /* metadata = */Metadata.empty()
-                        )
-                    )
-                }.toTypedArray()
-            )
-
-            KComplexTypeWrapper(
-                /* dt = */ structType,
-                /* cls = */ klass.java,
-                /* nullable = */ true
-            )
-        }
+            currentType.isSubtypeOf<BooleanArray?>() -> {
+                val elementEncoder = encoderFor(
+                    currentType = typeOf<Boolean>(),
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.ArrayEncoder(elementEncoder, false)
+            }
 
-        UDTRegistration.exists(klass.jvmName) -> {
-            @Suppress("UNCHECKED_CAST")
-            val dataType = UDTRegistration.getUDTFor(klass.jvmName)
-                .getOrNull()!!
-                .let { it as Class<UserDefinedType<*>> }
-                .getConstructor()
-                .newInstance()
-
-            KSimpleTypeWrapper(
-                /* dt = */ dataType,
-                /* cls = */ klass.java,
-                /* nullable = */ type.isMarkedNullable
-            )
-        }
+            // boxed arrays
+            jClass.isArray -> {
+                val type = currentType.arguments.first().type!!
+                val elementEncoder = encoderFor(
+                    currentType = type.withNullability(true), // so we get a boxed array
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.ArrayEncoder(elementEncoder, true)
+            }
 
-        klass.hasAnnotation<SQLUserDefinedType>() -> {
-            val dataType = klass.findAnnotation<SQLUserDefinedType>()!!
-                .udt
-                .java
-                .getConstructor()
-                .newInstance()
-
-            KSimpleTypeWrapper(
-                /* dt = */ dataType,
-                /* cls = */ klass.java,
-                /* nullable = */ type.isMarkedNullable
-            )
-        }
+            currentType.isSubtypeOf<List<*>?>() -> {
+                val subType = tArguments.first().type!!
+                val elementEncoder = encoderFor(
+                    currentType = subType,
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.IterableEncoder<List<*>, _>(
+                    /* clsTag = */ ClassTag.apply(jClass),
+                    /* element = */ elementEncoder,
+                    /* containsNull = */ subType.isMarkedNullable,
+                    /* lenientSerialization = */ false,
+                )
+            }
 
-        else -> throw IllegalArgumentException("$type is unsupported")
-    }
-}
+            currentType.isSubtypeOf<scala.collection.Seq<*>?>() -> {
+                val subType = tArguments.first().type!!
+                val elementEncoder = encoderFor(
+                    currentType = subType,
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.IterableEncoder<scala.collection.Seq<*>, _>(
+                    /* clsTag = */ ClassTag.apply(jClass),
+                    /* element = */ elementEncoder,
+                    /* containsNull = */ subType.isMarkedNullable,
+                    /* lenientSerialization = */ false,
+                )
+            }
 
-/**
- * Memoized version of [schema]. This ensures the [DataType] of given `type` only
- * has to be calculated once.
- */
-private val memoizedSchema: (type: KType) -> DataType = memoize {
-    schema(it)
-}
+            currentType.isSubtypeOf<Set<*>?>() -> {
+                val subType = tArguments.first().type!!
+                val elementEncoder = encoderFor(
+                    currentType = subType,
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.IterableEncoder<Set<*>, _>(
+                    /* clsTag = */ ClassTag.apply(jClass),
+                    /* element = */ elementEncoder,
+                    /* containsNull = */ subType.isMarkedNullable,
+                    /* lenientSerialization = */ false,
+                )
+            }
+
+            currentType.isSubtypeOf<scala.collection.Set<*>?>() -> {
+                val subType = tArguments.first().type!!
+                val elementEncoder = encoderFor(
+                    currentType = subType,
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.IterableEncoder<scala.collection.Set<*>, _>(
+                    /* clsTag = */ ClassTag.apply(jClass),
+                    /* element = */ elementEncoder,
+                    /* containsNull = */ subType.isMarkedNullable,
+                    /* lenientSerialization = */ false,
+                )
+            }
 
-private fun transitiveMerge(a: Map<String, KType>, b: Map<String, KType>): Map<String, KType> =
-    a + b.mapValues { a.getOrDefault(it.value.toString(), it.value) }
+            currentType.isSubtypeOf<Map<*, *>?>() -> TODO()
+            currentType.isSubtypeOf<scala.collection.Map<*, *>?>() -> TODO()
 
-/** Wrapper around function with 1 argument to avoid recalculation when a certain argument is queried again. */
-private class Memoize1<in T, out R>(private val function: (T) -> R) : (T) -> R {
-    private val values = ConcurrentHashMap<T, R>()
-    override fun invoke(x: T): R = values.getOrPut(x) { function(x) }
-}
+            kClass.isData -> {
+                if (currentType in seenTypeSet) throw IllegalStateException("Circular reference detected for type $currentType")
+                val constructor = kClass.primaryConstructor!!
+                val kParameters = constructor.parameters
+                // todo filter for transient?
+
+                val props = kParameters.map {
+                    kClass.declaredMemberProperties.find { prop -> prop.name == it.name }!!
+                }
+
+                val params = (kParameters zip props).map { (param, prop) ->
+                    // check if the type was a filled-in generic type, otherwise just use the given type
+                    val paramType = typeVariables[param.type.simpleName] ?: param.type
+                    val encoder = encoderFor(
+                        currentType = paramType,
+                        seenTypeSet = seenTypeSet + currentType,
+                        typeVariables = typeVariables,
+                    )
+                    val paramName = param.name!!
+                    val readMethodName = prop.getter.javaMethod!!.name
+                    val writeMethodName = (prop as? KMutableProperty<*>)?.setter?.javaMethod?.name
+
+                    DirtyProductEncoderField(
+                        name = paramName,
+                        readMethodName = readMethodName,
+                        writeMethodName = writeMethodName,
+                        encoder = encoder,
+                        nullable = paramType.isMarkedNullable,
+                    )
+                }
+                ProductEncoder<Any>(
+                    /* clsTag = */ ClassTag.apply(jClass),
+                    /* fields = */ params.asScalaSeq(),
+                    /* outerPointerGetter = */ OuterScopes.getOuterScope(jClass).toOption(),
+                )
+            }
+
+            currentType.isDefinedByScalaConstructorParams() -> {
+                if (currentType in seenTypeSet) throw IllegalStateException("Circular reference detected for type $currentType")
+                val constructorParams = currentType.getScalaConstructorParameters(typeVariables, kClass)
 
-/** Wrapper around function to avoid recalculation when a certain argument is queried again. */
-private fun <T, R> ((T) -> R).memoized(): (T) -> R = Memoize1(this)
+                val params: List<AgnosticEncoders.EncoderField> = constructorParams.map { (paramName, paramType) ->
+                    val encoder = encoderFor(
+                        currentType = paramType,
+                        seenTypeSet = seenTypeSet + currentType,
+                        typeVariables = typeVariables,
+                    )
+                    AgnosticEncoders.EncoderField(
+                        /* name = */ paramName,
+                        /* enc = */ encoder,
+                        /* nullable = */ paramType.isMarkedNullable,
+                        /* metadata = */ Metadata.empty(),
+                        /* readMethod = */ paramName.toOption(),
+                        /* writeMethod = */ null.toOption(),
+                    )
+                }
+                ProductEncoder<Any>(
+                    /* clsTag = */ ClassTag.apply(jClass),
+                    /* fields = */ params.asScalaSeq(),
+                    /* outerPointerGetter = */ OuterScopes.getOuterScope(jClass).toOption(),
+                )
+            }
+
+            // java bean class
+//            currentType.classifier is KClass<*> -> {
+//                TODO()
+//
+//                 JavaBeanEncoder()
+//            }
 
-/** Wrapper around function to avoid recalculation when a certain argument is queried again. */
-private fun <T, R> memoize(function: (T) -> R): (T) -> R = Memoize1(function)
+            else -> throw IllegalArgumentException("No encoder found for type $currentType")
+        }
+    }
+}
+
+internal open class DirtyProductEncoderField(
+    private val name: String, // the name used for the column
+    private val readMethodName: String, // the name of the method used to read the value
+    private val writeMethodName: String?,
+    encoder: AgnosticEncoder<*>,
+    nullable: Boolean,
+    metadata: Metadata = Metadata.empty(),
+) : AgnosticEncoders.EncoderField(
+    /* name = */ readMethodName,
+    /* enc = */ encoder,
+    /* nullable = */ nullable,
+    /* metadata = */ metadata,
+    /* readMethod = */ readMethodName.toOption(),
+    /* writeMethod = */ writeMethodName.toOption(),
+), Serializable {
+
+    private var i = 0
+
+    /**
+     * This dirty trick only works because in [SerializerBuildHelper], [ProductEncoder]
+     * creates an [Invoke] using [name] first and then calls [name] again to retrieve
+     * the name of the column. This way, we can alternate between the two names.
+     */
+    override fun name(): String =
+        if (i++ % 2 == 0) readMethodName
+        else name
+
+    override fun canEqual(that: Any?): Boolean = that is AgnosticEncoders.EncoderField
+
+    override fun productElement(n: Int): Any =
+        when (n) {
+            0 -> readMethodName // so it doesn't affect name()
+            1 -> enc()
+            2 -> nullable()
+            3 -> metadata()
+            4 -> readMethod()
+            5 -> writeMethod()
+            else -> throw IndexOutOfBoundsException()
+        }
 
+    override fun productArity(): Int = 6
+}
\ No newline at end of file

From e234f401b0519876ec50d89d18f6854b9f2a7f50 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 16:12:26 +0100
Subject: [PATCH 04/38] updating all references to the old encoder<>() function
 in favor of the new kotlinEncoderFor<>()

---
 .../jetbrains/kotlinx/spark/examples/UDFs.kt  |    4 +-
 .../org/jetbrains/kotlinx/spark/api/Column.kt |    4 +-
 .../jetbrains/kotlinx/spark/api/Dataset.kt    |   69 +-
 .../spark/api/KeyValueGroupedDataset.kt       |   20 +-
 .../kotlinx/spark/api/SparkSession.kt         |   24 +-
 .../kotlinx/spark/api/UDFRegister.kt          |   46 +-
 .../spark/api/UserDefinedAggregateFunction.kt |   20 +-
 .../kotlinx/spark/api/UserDefinedFunction.kt  |    7 -
 .../spark/api/UserDefinedFunctionVararg.kt    | 3380 ++++++++---------
 .../kotlinx/spark/api/UserDefinedFunctions.kt |   92 +-
 10 files changed, 1821 insertions(+), 1845 deletions(-)

diff --git a/examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/UDFs.kt b/examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/UDFs.kt
index 4b2e497e..455bf267 100644
--- a/examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/UDFs.kt
+++ b/examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/UDFs.kt
@@ -270,10 +270,10 @@ private object MyAverage : Aggregator<Employee, Average, Double>() {
     override fun finish(reduction: Average): Double = reduction.sum.toDouble() / reduction.count
 
     // Specifies the Encoder for the intermediate value type
-    override fun bufferEncoder(): Encoder<Average> = encoder()
+    override fun bufferEncoder(): Encoder<Average> = kotlinEncoderFor()
 
     // Specifies the Encoder for the final output value type
-    override fun outputEncoder(): Encoder<Double> = encoder()
+    override fun outputEncoder(): Encoder<Double> = kotlinEncoderFor()
 
 }
 
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Column.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Column.kt
index bb0d6d20..d962f57c 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Column.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Column.kt
@@ -443,7 +443,7 @@ operator fun Column.get(key: Any): Column = getItem(key)
  * @see typed
  */
 @Suppress("UNCHECKED_CAST")
-inline fun <DsType, reified U> Column.`as`(): TypedColumn<DsType, U> = `as`(encoder<U>()) as TypedColumn<DsType, U>
+inline fun <DsType, reified U> Column.`as`(): TypedColumn<DsType, U> = `as`(kotlinEncoderFor<U>()) as TypedColumn<DsType, U>
 
 /**
  * Provides a type hint about the expected return value of this column. This information can
@@ -458,7 +458,7 @@ inline fun <DsType, reified U> Column.`as`(): TypedColumn<DsType, U> = `as`(enco
  * @see typed
  */
 @Suppress("UNCHECKED_CAST")
-inline fun <DsType, reified U> TypedColumn<DsType, *>.`as`(): TypedColumn<DsType, U> = `as`(encoder<U>()) as TypedColumn<DsType, U>
+inline fun <DsType, reified U> TypedColumn<DsType, *>.`as`(): TypedColumn<DsType, U> = `as`(kotlinEncoderFor<U>()) as TypedColumn<DsType, U>
 
 /**
  * Provides a type hint about the expected return value of this column. This information can
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
index fe936e58..ec8649b9 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
@@ -37,7 +37,6 @@ import org.apache.spark.api.java.function.MapFunction
 import org.apache.spark.api.java.function.ReduceFunction
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.*
-import org.jetbrains.kotlinx.spark.extensions.KSparkExtensions
 import scala.Tuple2
 import scala.Tuple3
 import scala.Tuple4
@@ -49,7 +48,7 @@ import kotlin.reflect.KProperty1
  * Utility method to create dataset from list
  */
 inline fun <reified T> SparkSession.toDS(list: List<T>): Dataset<T> =
-    createDataset(list, encoder<T>())
+    createDataset(list, kotlinEncoderFor<T>())
 
 /**
  * Utility method to create dataframe from list
@@ -61,26 +60,26 @@ inline fun <reified T> SparkSession.toDF(list: List<T>, vararg colNames: String)
  * Utility method to create dataset from *array or vararg arguments
  */
 inline fun <reified T> SparkSession.dsOf(vararg t: T): Dataset<T> =
-    createDataset(t.toList(), encoder<T>())
+    createDataset(t.toList(), kotlinEncoderFor<T>())
 
 /**
  * Utility method to create dataframe from *array or vararg arguments
  */
 inline fun <reified T> SparkSession.dfOf(vararg t: T): Dataset<Row> =
-    createDataset(t.toList(), encoder<T>()).toDF()
+    createDataset(t.toList(), kotlinEncoderFor<T>()).toDF()
 
 /**
  * Utility method to create dataframe from *array or vararg arguments with given column names
  */
 inline fun <reified T> SparkSession.dfOf(colNames: Array<String>, vararg t: T): Dataset<Row> =
-    createDataset(t.toList(), encoder<T>())
+    createDataset(t.toList(), kotlinEncoderFor<T>())
         .run { if (colNames.isEmpty()) toDF() else toDF(*colNames) }
 
 /**
  * Utility method to create dataset from list
  */
 inline fun <reified T> List<T>.toDS(spark: SparkSession): Dataset<T> =
-    spark.createDataset(this, encoder<T>())
+    spark.createDataset(this, kotlinEncoderFor<T>())
 
 /**
  * Utility method to create dataframe from list
@@ -104,13 +103,13 @@ inline fun <reified T> Array<T>.toDF(spark: SparkSession, vararg colNames: Strin
  * Utility method to create dataset from RDD
  */
 inline fun <reified T> RDD<T>.toDS(spark: SparkSession): Dataset<T> =
-    spark.createDataset(this, encoder<T>())
+    spark.createDataset(this, kotlinEncoderFor<T>())
 
 /**
  * Utility method to create dataset from JavaRDD
  */
 inline fun <reified T> JavaRDDLike<T, *>.toDS(spark: SparkSession): Dataset<T> =
-    spark.createDataset(this.rdd(), encoder<T>())
+    spark.createDataset(this.rdd(), kotlinEncoderFor<T>())
 
 /**
  * Utility method to create Dataset<Row> (Dataframe) from JavaRDD.
@@ -132,7 +131,7 @@ inline fun <reified T> RDD<T>.toDF(spark: SparkSession, vararg colNames: String)
  * Returns a new Dataset that contains the result of applying [func] to each element.
  */
 inline fun <reified T, reified R> Dataset<T>.map(noinline func: (T) -> R): Dataset<R> =
-    map(MapFunction(func), encoder<R>())
+    map(MapFunction(func), kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -140,7 +139,7 @@ inline fun <reified T, reified R> Dataset<T>.map(noinline func: (T) -> R): Datas
  * and then flattening the results.
  */
 inline fun <T, reified R> Dataset<T>.flatMap(noinline func: (T) -> Iterator<R>): Dataset<R> =
-    flatMap(func, encoder<R>())
+    flatMap(func, kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -148,21 +147,21 @@ inline fun <T, reified R> Dataset<T>.flatMap(noinline func: (T) -> Iterator<R>):
  * `listOf(listOf(1, 2, 3), listOf(4, 5, 6))` will be flattened to a Dataset of `listOf(1, 2, 3, 4, 5, 6)`.
  */
 inline fun <reified T, I : Iterable<T>> Dataset<I>.flatten(): Dataset<T> =
-    flatMap(FlatMapFunction { it.iterator() }, encoder<T>())
+    flatMap(FlatMapFunction { it.iterator() }, kotlinEncoderFor<T>())
 
 /**
  * (Kotlin-specific)
  * Returns a [KeyValueGroupedDataset] where the data is grouped by the given key [func].
  */
 inline fun <T, reified R> Dataset<T>.groupByKey(noinline func: (T) -> R): KeyValueGroupedDataset<R, T> =
-    groupByKey(MapFunction(func), encoder<R>())
+    groupByKey(MapFunction(func), kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
  * Returns a new Dataset that contains the result of applying [func] to each partition.
  */
 inline fun <T, reified R> Dataset<T>.mapPartitions(noinline func: (Iterator<T>) -> Iterator<R>): Dataset<R> =
-    mapPartitions(func, encoder<R>())
+    mapPartitions(func, kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -193,15 +192,6 @@ inline fun <reified T1, T2> Dataset<Tuple2<T1, T2>>.takeKeys(): Dataset<T1> = ma
  */
 inline fun <reified T1, T2> Dataset<Pair<T1, T2>>.takeKeys(): Dataset<T1> = map { it.first }
 
-/**
- * (Kotlin-specific)
- * Maps the Dataset to only retain the "keys" or [Arity2._1] values.
- */
-@Suppress("DEPRECATION")
-@JvmName("takeKeysArity2")
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-inline fun <reified T1, T2> Dataset<Arity2<T1, T2>>.takeKeys(): Dataset<T1> = map { it._1 }
-
 /**
  * (Kotlin-specific)
  * Maps the Dataset to only retain the "values" or [Tuple2._2] values.
@@ -215,22 +205,13 @@ inline fun <T1, reified T2> Dataset<Tuple2<T1, T2>>.takeValues(): Dataset<T2> =
  */
 inline fun <T1, reified T2> Dataset<Pair<T1, T2>>.takeValues(): Dataset<T2> = map { it.second }
 
-/**
- * (Kotlin-specific)
- * Maps the Dataset to only retain the "values" or [Arity2._2] values.
- */
-@Suppress("DEPRECATION")
-@JvmName("takeValuesArity2")
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-inline fun <T1, reified T2> Dataset<Arity2<T1, T2>>.takeValues(): Dataset<T2> = map { it._2 }
-
 /** DEPRECATED: Use [as] or [to] for this. */
 @Deprecated(
     message = "Deprecated, since we already have `as`() and to().",
     replaceWith = ReplaceWith("this.to<R>()"),
     level = DeprecationLevel.ERROR,
 )
-inline fun <T, reified R> Dataset<T>.downcast(): Dataset<R> = `as`(encoder<R>())
+inline fun <T, reified R> Dataset<T>.downcast(): Dataset<R> = `as`(kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -252,7 +233,7 @@ inline fun <T, reified R> Dataset<T>.downcast(): Dataset<R> = `as`(encoder<R>())
  *
  * @see to as alias for [as]
  */
-inline fun <reified R> Dataset<*>.`as`(): Dataset<R> = `as`(encoder<R>())
+inline fun <reified R> Dataset<*>.`as`(): Dataset<R> = `as`(kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -274,7 +255,7 @@ inline fun <reified R> Dataset<*>.`as`(): Dataset<R> = `as`(encoder<R>())
  *
  * @see as as alias for [to]
  */
-inline fun <reified R> Dataset<*>.to(): Dataset<R> = `as`(encoder<R>())
+inline fun <reified R> Dataset<*>.to(): Dataset<R> = `as`(kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -292,12 +273,16 @@ inline fun <reified T> Dataset<T>.forEachPartition(noinline func: (Iterator<T>)
 /**
  * It's hard to call `Dataset.debugCodegen` from kotlin, so here is utility for that
  */
-fun <T> Dataset<T>.debugCodegen(): Dataset<T> = also { KSparkExtensions.debugCodegen(it) }
+fun <T> Dataset<T>.debugCodegen(): Dataset<T> = also {
+    org.apache.spark.sql.execution.debug.`package$`.`MODULE$`.DebugQuery(it).debugCodegen()
+}
 
 /**
  * It's hard to call `Dataset.debug` from kotlin, so here is utility for that
  */
-fun <T> Dataset<T>.debug(): Dataset<T> = also { KSparkExtensions.debug(it) }
+fun <T> Dataset<T>.debug(): Dataset<T> = also {
+    org.apache.spark.sql.execution.debug.`package$`.`MODULE$`.DebugQuery(it).debug()
+}
 
 
 /**
@@ -370,18 +355,6 @@ fun <T1, T2> Dataset<Tuple2<T1, T2>>.sortByKey(): Dataset<Tuple2<T1, T2>> = sort
 @JvmName("sortByTuple2Value")
 fun <T1, T2> Dataset<Tuple2<T1, T2>>.sortByValue(): Dataset<Tuple2<T1, T2>> = sort("_2")
 
-/** Returns a dataset sorted by the first (`_1`) value of each [Arity2] inside. */
-@Suppress("DEPRECATION")
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-@JvmName("sortByArity2Key")
-fun <T1, T2> Dataset<Arity2<T1, T2>>.sortByKey(): Dataset<Arity2<T1, T2>> = sort("_1")
-
-/** Returns a dataset sorted by the second (`_2`) value of each [Arity2] inside. */
-@Suppress("DEPRECATION")
-@Deprecated("Use Scala tuples instead.", ReplaceWith(""))
-@JvmName("sortByArity2Value")
-fun <T1, T2> Dataset<Arity2<T1, T2>>.sortByValue(): Dataset<Arity2<T1, T2>> = sort("_2")
-
 /** Returns a dataset sorted by the first (`first`) value of each [Pair] inside. */
 @JvmName("sortByPairKey")
 fun <T1, T2> Dataset<Pair<T1, T2>>.sortByKey(): Dataset<Pair<T1, T2>> = sort("first")
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/KeyValueGroupedDataset.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/KeyValueGroupedDataset.kt
index ec840dbe..b051d76b 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/KeyValueGroupedDataset.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/KeyValueGroupedDataset.kt
@@ -51,7 +51,7 @@ import scala.Tuple2
  * ```
  */
 inline fun <KEY, VALUE, reified R> KeyValueGroupedDataset<KEY, VALUE>.mapValues(noinline func: (VALUE) -> R): KeyValueGroupedDataset<KEY, R> =
-    mapValues(MapFunction(func), encoder<R>())
+    mapValues(MapFunction(func), kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -70,7 +70,7 @@ inline fun <KEY, VALUE, reified R> KeyValueGroupedDataset<KEY, VALUE>.mapValues(
  * constraints of their cluster.
  */
 inline fun <KEY, VALUE, reified R> KeyValueGroupedDataset<KEY, VALUE>.mapGroups(noinline func: (KEY, Iterator<VALUE>) -> R): Dataset<R> =
-    mapGroups(MapGroupsFunction(func), encoder<R>())
+    mapGroups(MapGroupsFunction(func), kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)
@@ -104,7 +104,7 @@ inline fun <K, V, reified U> KeyValueGroupedDataset<K, V>.flatMapGroups(
     noinline func: (key: K, values: Iterator<V>) -> Iterator<U>,
 ): Dataset<U> = flatMapGroups(
     FlatMapGroupsFunction(func),
-    encoder<U>(),
+    kotlinEncoderFor<U>(),
 )
 
 
@@ -127,8 +127,8 @@ inline fun <K, V, reified S, reified U> KeyValueGroupedDataset<K, V>.mapGroupsWi
     noinline func: (key: K, values: Iterator<V>, state: GroupState<S>) -> U,
 ): Dataset<U> = mapGroupsWithState(
     MapGroupsWithStateFunction(func),
-    encoder<S>(),
-    encoder<U>(),
+    kotlinEncoderFor<S>(),
+    kotlinEncoderFor<U>(),
 )
 
 /**
@@ -152,8 +152,8 @@ inline fun <K, V, reified S, reified U> KeyValueGroupedDataset<K, V>.mapGroupsWi
     noinline func: (key: K, values: Iterator<V>, state: GroupState<S>) -> U,
 ): Dataset<U> = mapGroupsWithState(
     MapGroupsWithStateFunction(func),
-    encoder<S>(),
-    encoder<U>(),
+    kotlinEncoderFor<S>(),
+    kotlinEncoderFor<U>(),
     timeoutConf,
 )
 
@@ -181,8 +181,8 @@ inline fun <K, V, reified S, reified U> KeyValueGroupedDataset<K, V>.flatMapGrou
 ): Dataset<U> = flatMapGroupsWithState(
     FlatMapGroupsWithStateFunction(func),
     outputMode,
-    encoder<S>(),
-    encoder<U>(),
+    kotlinEncoderFor<S>(),
+    kotlinEncoderFor<U>(),
     timeoutConf,
 )
 
@@ -199,5 +199,5 @@ inline fun <K, V, U, reified R> KeyValueGroupedDataset<K, V>.cogroup(
 ): Dataset<R> = cogroup(
     other,
     CoGroupFunction(func),
-    encoder<R>(),
+    kotlinEncoderFor<R>(),
 )
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt
index f9a8b079..dde819a8 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt
@@ -34,7 +34,6 @@ import org.apache.spark.api.java.JavaRDD
 import org.apache.spark.api.java.JavaRDDLike
 import org.apache.spark.api.java.JavaSparkContext
 import org.apache.spark.broadcast.Broadcast
-import org.apache.spark.deploy.SparkHadoopUtil
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.Dataset
 import org.apache.spark.sql.Row
@@ -45,7 +44,6 @@ import org.apache.spark.streaming.Durations
 import org.apache.spark.streaming.api.java.JavaStreamingContext
 import org.jetbrains.kotlinx.spark.api.SparkLogLevel.ERROR
 import org.jetbrains.kotlinx.spark.api.tuples.*
-import org.jetbrains.kotlinx.spark.extensions.KSparkExtensions
 import java.io.Serializable
 
 /**
@@ -76,7 +74,7 @@ class KSparkSession(val spark: SparkSession) {
     inline fun <reified T> dsOf(vararg arg: T): Dataset<T> = spark.dsOf(*arg)
 
     /** Creates new empty dataset of type [T]. */
-    inline fun <reified T> emptyDataset(): Dataset<T> = spark.emptyDataset(encoder<T>())
+    inline fun <reified T> emptyDataset(): Dataset<T> = spark.emptyDataset(kotlinEncoderFor<T>())
 
     /** Utility method to create dataframe from *array or vararg arguments */
     inline fun <reified T> dfOf(vararg arg: T): Dataset<Row> = spark.dfOf(*arg)
@@ -227,7 +225,7 @@ enum class SparkLogLevel {
  * Returns the Spark context associated with this Spark session.
  */
 val SparkSession.sparkContext: SparkContext
-    get() = KSparkExtensions.sparkContext(this)
+    get() = sparkContext()
 
 /**
  * Wrapper for spark creation which allows setting different spark params.
@@ -339,7 +337,7 @@ inline fun withSpark(sparkConf: SparkConf, logLevel: SparkLogLevel = ERROR, func
 fun withSparkStreaming(
     batchDuration: Duration = Durations.seconds(1L),
     checkpointPath: String? = null,
-    hadoopConf: Configuration = SparkHadoopUtil.get().conf(),
+    hadoopConf: Configuration = getDefaultHadoopConf(),
     createOnError: Boolean = false,
     props: Map<String, Any> = emptyMap(),
     master: String = SparkConf().get("spark.master", "local[*]"),
@@ -386,6 +384,18 @@ fun withSparkStreaming(
     ssc.stop()
 }
 
+// calling org.apache.spark.deploy.`SparkHadoopUtil$`.`MODULE$`.get().conf()
+private fun getDefaultHadoopConf(): Configuration {
+    val klass = Class.forName("org.apache.spark.deploy.SparkHadoopUtil$")
+    val moduleField = klass.getField("MODULE$").also { it.isAccessible = true }
+    val module = moduleField.get(null)
+    val getMethod = klass.getMethod("get").also { it.isAccessible = true }
+    val sparkHadoopUtil = getMethod.invoke(module)
+    val confMethod = sparkHadoopUtil.javaClass.getMethod("conf").also { it.isAccessible = true }
+    val conf = confMethod.invoke(sparkHadoopUtil) as Configuration
+
+    return conf
+}
 
 /**
  * Broadcast a read-only variable to the cluster, returning a
@@ -396,7 +406,7 @@ fun withSparkStreaming(
  * @return `Broadcast` object, a read-only variable cached on each machine
  */
 inline fun <reified T> SparkSession.broadcast(value: T): Broadcast<T> = try {
-    sparkContext.broadcast(value, encoder<T>().clsTag())
+    sparkContext.broadcast(value, kotlinEncoderFor<T>().clsTag())
 } catch (e: ClassNotFoundException) {
     JavaSparkContext(sparkContext).broadcast(value)
 }
@@ -416,7 +426,7 @@ inline fun <reified T> SparkSession.broadcast(value: T): Broadcast<T> = try {
     DeprecationLevel.WARNING
 )
 inline fun <reified T> SparkContext.broadcast(value: T): Broadcast<T> = try {
-    broadcast(value, encoder<T>().clsTag())
+    broadcast(value, kotlinEncoderFor<T>().clsTag())
 } catch (e: ClassNotFoundException) {
     JavaSparkContext(this).broadcast(value)
 }
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt
index bd08d92c..7eb535ba 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt
@@ -53,7 +53,7 @@ class UDFWrapper0(private val udfName: String) {
 @OptIn(ExperimentalStdlibApi::class)
 @Deprecated("Use new UDF notation", ReplaceWith("this.register(name, func)"), DeprecationLevel.HIDDEN)
 inline fun <reified R> UDFRegistration.register(name: String, noinline func: () -> R): UDFWrapper0 {
-    register(name, UDF0(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF0(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper0(name)
 }
 
@@ -78,7 +78,7 @@ class UDFWrapper1(private val udfName: String) {
 @Deprecated("Use new UDF notation", ReplaceWith("this.register(name, func)"), DeprecationLevel.HIDDEN)
 inline fun <reified T0, reified R> UDFRegistration.register(name: String, noinline func: (T0) -> R): UDFWrapper1 {
     T0::class.checkForValidType("T0")
-    register(name, UDF1(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF1(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper1(name)
 }
 
@@ -107,7 +107,7 @@ inline fun <reified T0, reified T1, reified R> UDFRegistration.register(
 ): UDFWrapper2 {
     T0::class.checkForValidType("T0")
     T1::class.checkForValidType("T1")
-    register(name, UDF2(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF2(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper2(name)
 }
 
@@ -137,7 +137,7 @@ inline fun <reified T0, reified T1, reified T2, reified R> UDFRegistration.regis
     T0::class.checkForValidType("T0")
     T1::class.checkForValidType("T1")
     T2::class.checkForValidType("T2")
-    register(name, UDF3(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF3(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper3(name)
 }
 
@@ -168,7 +168,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified R> UDFRegist
     T1::class.checkForValidType("T1")
     T2::class.checkForValidType("T2")
     T3::class.checkForValidType("T3")
-    register(name, UDF4(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF4(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper4(name)
 }
 
@@ -200,7 +200,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T2::class.checkForValidType("T2")
     T3::class.checkForValidType("T3")
     T4::class.checkForValidType("T4")
-    register(name, UDF5(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF5(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper5(name)
 }
 
@@ -240,7 +240,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T3::class.checkForValidType("T3")
     T4::class.checkForValidType("T4")
     T5::class.checkForValidType("T5")
-    register(name, UDF6(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF6(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper6(name)
 }
 
@@ -282,7 +282,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T4::class.checkForValidType("T4")
     T5::class.checkForValidType("T5")
     T6::class.checkForValidType("T6")
-    register(name, UDF7(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF7(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper7(name)
 }
 
@@ -326,7 +326,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T5::class.checkForValidType("T5")
     T6::class.checkForValidType("T6")
     T7::class.checkForValidType("T7")
-    register(name, UDF8(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF8(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper8(name)
 }
 
@@ -372,7 +372,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T6::class.checkForValidType("T6")
     T7::class.checkForValidType("T7")
     T8::class.checkForValidType("T8")
-    register(name, UDF9(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF9(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper9(name)
 }
 
@@ -432,7 +432,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T7::class.checkForValidType("T7")
     T8::class.checkForValidType("T8")
     T9::class.checkForValidType("T9")
-    register(name, UDF10(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF10(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper10(name)
 }
 
@@ -495,7 +495,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T8::class.checkForValidType("T8")
     T9::class.checkForValidType("T9")
     T10::class.checkForValidType("T10")
-    register(name, UDF11(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF11(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper11(name)
 }
 
@@ -561,7 +561,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T9::class.checkForValidType("T9")
     T10::class.checkForValidType("T10")
     T11::class.checkForValidType("T11")
-    register(name, UDF12(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF12(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper12(name)
 }
 
@@ -630,7 +630,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T10::class.checkForValidType("T10")
     T11::class.checkForValidType("T11")
     T12::class.checkForValidType("T12")
-    register(name, UDF13(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF13(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper13(name)
 }
 
@@ -702,7 +702,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T11::class.checkForValidType("T11")
     T12::class.checkForValidType("T12")
     T13::class.checkForValidType("T13")
-    register(name, UDF14(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF14(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper14(name)
 }
 
@@ -777,7 +777,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T12::class.checkForValidType("T12")
     T13::class.checkForValidType("T13")
     T14::class.checkForValidType("T14")
-    register(name, UDF15(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF15(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper15(name)
 }
 
@@ -855,7 +855,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T13::class.checkForValidType("T13")
     T14::class.checkForValidType("T14")
     T15::class.checkForValidType("T15")
-    register(name, UDF16(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF16(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper16(name)
 }
 
@@ -936,7 +936,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T14::class.checkForValidType("T14")
     T15::class.checkForValidType("T15")
     T16::class.checkForValidType("T16")
-    register(name, UDF17(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF17(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper17(name)
 }
 
@@ -1020,7 +1020,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T15::class.checkForValidType("T15")
     T16::class.checkForValidType("T16")
     T17::class.checkForValidType("T17")
-    register(name, UDF18(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF18(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper18(name)
 }
 
@@ -1107,7 +1107,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T16::class.checkForValidType("T16")
     T17::class.checkForValidType("T17")
     T18::class.checkForValidType("T18")
-    register(name, UDF19(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF19(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper19(name)
 }
 
@@ -1197,7 +1197,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T17::class.checkForValidType("T17")
     T18::class.checkForValidType("T18")
     T19::class.checkForValidType("T19")
-    register(name, UDF20(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF20(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper20(name)
 }
 
@@ -1290,7 +1290,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T18::class.checkForValidType("T18")
     T19::class.checkForValidType("T19")
     T20::class.checkForValidType("T20")
-    register(name, UDF21(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF21(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper21(name)
 }
 
@@ -1386,6 +1386,6 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T19::class.checkForValidType("T19")
     T20::class.checkForValidType("T20")
     T21::class.checkForValidType("T21")
-    register(name, UDF22(func), schema(typeOf<R>()).unWrap())
+    register(name, UDF22(func), kotlinEncoderFor<R>().schema())
     return UDFWrapper22(name)
 }
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedAggregateFunction.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedAggregateFunction.kt
index 595fe0fa..11e14c5f 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedAggregateFunction.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedAggregateFunction.kt
@@ -41,8 +41,8 @@ inline fun <reified IN, reified BUF, reified OUT> aggregatorOf(
     noinline reduce: (b: BUF, a: IN) -> BUF,
     noinline merge: (b1: BUF, b2: BUF) -> BUF,
     noinline finish: (reduction: BUF) -> OUT,
-    bufferEncoder: Encoder<BUF> = encoder(),
-    outputEncoder: Encoder<OUT> = encoder(),
+    bufferEncoder: Encoder<BUF> = kotlinEncoderFor(),
+    outputEncoder: Encoder<OUT> = kotlinEncoderFor(),
 ): Aggregator<IN, BUF, OUT> = Aggregator(zero, reduce, merge, finish, bufferEncoder, outputEncoder)
 
 class Aggregator<IN, BUF, OUT>(
@@ -129,10 +129,10 @@ inline fun <reified IN, reified OUT, reified AGG : Aggregator<IN, *, OUT>> udafU
     IN::class.checkForValidType("IN")
 
     return UserDefinedFunction1(
-        udf = functions.udaf(agg, encoder<IN>())
+        udf = functions.udaf(agg, kotlinEncoderFor<IN>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<OUT>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<OUT>(),
+        encoder = kotlinEncoderFor<OUT>(),
     )
 }
 
@@ -160,8 +160,8 @@ inline fun <reified IN, reified BUF, reified OUT> udaf(
     noinline reduce: (b: BUF, a: IN) -> BUF,
     noinline merge: (b1: BUF, b2: BUF) -> BUF,
     noinline finish: (reduction: BUF) -> OUT,
-    bufferEncoder: Encoder<BUF> = encoder(),
-    outputEncoder: Encoder<OUT> = encoder(),
+    bufferEncoder: Encoder<BUF> = kotlinEncoderFor(),
+    outputEncoder: Encoder<OUT> = kotlinEncoderFor(),
     nondeterministic: Boolean = false,
 ): UserDefinedFunction1<IN, OUT> = udafUnnamed(
     aggregatorOf(
@@ -202,8 +202,8 @@ inline fun <reified IN, reified BUF, reified OUT> udaf(
     noinline reduce: (b: BUF, a: IN) -> BUF,
     noinline merge: (b1: BUF, b2: BUF) -> BUF,
     noinline finish: (reduction: BUF) -> OUT,
-    bufferEncoder: Encoder<BUF> = encoder(),
-    outputEncoder: Encoder<OUT> = encoder(),
+    bufferEncoder: Encoder<BUF> = kotlinEncoderFor(),
+    outputEncoder: Encoder<OUT> = kotlinEncoderFor(),
     nondeterministic: Boolean = false,
 ): NamedUserDefinedFunction1<IN, OUT> = udaf(
     name = name,
@@ -279,8 +279,8 @@ inline fun <reified IN, reified BUF, reified OUT> UDFRegistration.register(
     noinline reduce: (b: BUF, a: IN) -> BUF,
     noinline merge: (b1: BUF, b2: BUF) -> BUF,
     noinline finish: (reduction: BUF) -> OUT,
-    bufferEncoder: Encoder<BUF> = encoder(),
-    outputEncoder: Encoder<OUT> = encoder(),
+    bufferEncoder: Encoder<BUF> = kotlinEncoderFor(),
+    outputEncoder: Encoder<OUT> = kotlinEncoderFor(),
     nondeterministic: Boolean = false,
 ): NamedUserDefinedFunction1<IN, OUT> = register(
     udaf(name, zero, reduce, merge, finish, bufferEncoder, outputEncoder, nondeterministic)
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
index 3fabf6d2..0e00eb68 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
@@ -31,13 +31,6 @@ import kotlin.reflect.full.isSubclassOf
 import kotlin.reflect.full.primaryConstructor
 import org.apache.spark.sql.expressions.UserDefinedFunction as SparkUserDefinedFunction
 
-/** Unwraps [DataTypeWithClass]. */
-fun DataType.unWrap(): DataType =
-    when (this) {
-        is DataTypeWithClass -> DataType.fromJson(dt().json())
-        else -> this
-    }
-
 /**
  * Checks if [this] is of a valid type for a UDF, otherwise it throws a [TypeOfUDFParameterNotSupportedException]
  */
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
index e23aa160..2b96c586 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
@@ -1,1690 +1,1690 @@
-/*-
- * =LICENSE=
- * Kotlin Spark API: API for Spark 3.2+ (Scala 2.12)
- * ----------
- * Copyright (C) 2019 - 2022 JetBrains
- * ----------
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- * 
- *      http://www.apache.org/licenses/LICENSE-2.0
- * 
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =LICENSEEND=
- */
-@file:Suppress("DEPRECATION", "unused", "UNCHECKED_CAST")
-
-package org.jetbrains.kotlinx.spark.api
-
-
-import org.apache.spark.sql.*
-import org.jetbrains.kotlinx.spark.extensions.VarargUnwrapper
-import org.apache.spark.sql.api.java.*
-import org.apache.spark.sql.internal.SQLConf
-import kotlin.reflect.*
-import org.apache.spark.sql.expressions.UserDefinedFunction as SparkUserDefinedFunction
-
-/**
- * Instance of a UDF with vararg arguments of the same type.
- * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
- * Alternatively it can be registered for SQL calls using [register].
- *
- * @see org.apache.spark.sql.expressions.UserDefinedFunction
- * @see NamedUserDefinedFunctionVararg
- * @see udf
- */
-open class UserDefinedFunctionVararg<T, R>(
-    override val udf: SparkUserDefinedFunction,
-    override val encoder: Encoder<R>,
-): UserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>> {
-
-    /**
-     * Allows this UDF to be called in typed manner using columns in a [Dataset.selectTyped] call.
-     * @see typedCol to create typed columns.
-     * @see org.apache.spark.sql.expressions.UserDefinedFunction.apply
-     */
-    operator fun <DsType> invoke(vararg params: TypedColumn<DsType, T>): TypedColumn<DsType, R> = udf.apply(*params).`as`(encoder) as TypedColumn<DsType, R>
-
-    /** Returns named variant of this UDF. */
-    override fun withName(name: String): NamedUserDefinedFunctionVararg<T, R> = NamedUserDefinedFunctionVararg(
-        name = name,
-        udf = udf,
-        encoder = encoder,
-    )
-
-    /**
-     * Returns named variant of this UDF.
-     * @see withName
-     */
-    override fun getValue(thisRef: Any?, property: KProperty<*>): NamedUserDefinedFunctionVararg<T, R> =
-        withName(property.name)
-}
-
-/**
- * Instance of a UDF with vararg arguments of the same type with name.
- * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
- * Alternatively it can be registered for SQL calls using [register].
- *
- * @see org.apache.spark.sql.expressions.UserDefinedFunction
- * @see UserDefinedFunctionVararg
- * @see udf
- */
-class NamedUserDefinedFunctionVararg<T, R>(
-    override val name: String,
-    udf: SparkUserDefinedFunction,
-    encoder: Encoder<R>,
-): NamedUserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>>,
-    UserDefinedFunctionVararg<T, R>(udf = udf.withName(name), encoder = encoder)
-
-@PublishedApi
-internal inline fun <R> withAllowUntypedScalaUDF(block: () -> R): R {
-    val sqlConf = SQLConf.get()
-    val confString = "spark.sql.legacy.allowUntypedScalaUDF"
-    val prev = sqlConf.getConfString(confString, "false")
-    sqlConf.setConfString(confString, "true")
-    return try {
-        block()
-    } finally {
-        sqlConf.setConfString(confString, prev)
-    }
-}
-
-
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: ByteArray -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: ByteArray -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargByte")
-inline fun <reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<ByteArray, R>,
-): NamedUserDefinedFunctionVararg<Byte, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: ByteArray -> ... }`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargByte")
-inline fun <reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<ByteArray, R>,
-): UserDefinedFunctionVararg<Byte, R> {
-
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ByteArray(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: ByteArray -> ... }`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargByte")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<ByteArray, R>,
-): NamedUserDefinedFunctionVararg<Byte, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargByte")
-inline fun <reified R> udf(
-    varargFunc: KProperty0<(ByteArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargByte")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(ByteArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargByte")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(ByteArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargByte")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(ByteArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargByte")
-inline fun <reified R> udf(
-    varargFunc: KFunction1<ByteArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargByte")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KFunction1<ByteArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargByte")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KFunction1<ByteArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargByte")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<ByteArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: ShortArray -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: ShortArray -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargShort")
-inline fun <reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<ShortArray, R>,
-): NamedUserDefinedFunctionVararg<Short, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: ShortArray -> ... }`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargShort")
-inline fun <reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<ShortArray, R>,
-): UserDefinedFunctionVararg<Short, R> {
-
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ShortArray(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: ShortArray -> ... }`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargShort")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<ShortArray, R>,
-): NamedUserDefinedFunctionVararg<Short, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargShort")
-inline fun <reified R> udf(
-    varargFunc: KProperty0<(ShortArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargShort")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(ShortArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargShort")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(ShortArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargShort")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(ShortArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargShort")
-inline fun <reified R> udf(
-    varargFunc: KFunction1<ShortArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargShort")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KFunction1<ShortArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargShort")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KFunction1<ShortArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargShort")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<ShortArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: IntArray -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: IntArray -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargInt")
-inline fun <reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<IntArray, R>,
-): NamedUserDefinedFunctionVararg<Int, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: IntArray -> ... }`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargInt")
-inline fun <reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<IntArray, R>,
-): UserDefinedFunctionVararg<Int, R> {
-
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> IntArray(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: IntArray -> ... }`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargInt")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<IntArray, R>,
-): NamedUserDefinedFunctionVararg<Int, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargInt")
-inline fun <reified R> udf(
-    varargFunc: KProperty0<(IntArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargInt")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(IntArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargInt")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(IntArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargInt")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(IntArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargInt")
-inline fun <reified R> udf(
-    varargFunc: KFunction1<IntArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargInt")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KFunction1<IntArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargInt")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KFunction1<IntArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargInt")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<IntArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: LongArray -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: LongArray -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargLong")
-inline fun <reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<LongArray, R>,
-): NamedUserDefinedFunctionVararg<Long, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: LongArray -> ... }`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargLong")
-inline fun <reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<LongArray, R>,
-): UserDefinedFunctionVararg<Long, R> {
-
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> LongArray(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: LongArray -> ... }`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargLong")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<LongArray, R>,
-): NamedUserDefinedFunctionVararg<Long, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargLong")
-inline fun <reified R> udf(
-    varargFunc: KProperty0<(LongArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargLong")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(LongArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargLong")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(LongArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargLong")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(LongArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargLong")
-inline fun <reified R> udf(
-    varargFunc: KFunction1<LongArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargLong")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KFunction1<LongArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargLong")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KFunction1<LongArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargLong")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<LongArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: FloatArray -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: FloatArray -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargFloat")
-inline fun <reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<FloatArray, R>,
-): NamedUserDefinedFunctionVararg<Float, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: FloatArray -> ... }`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargFloat")
-inline fun <reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<FloatArray, R>,
-): UserDefinedFunctionVararg<Float, R> {
-
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> FloatArray(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: FloatArray -> ... }`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargFloat")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<FloatArray, R>,
-): NamedUserDefinedFunctionVararg<Float, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargFloat")
-inline fun <reified R> udf(
-    varargFunc: KProperty0<(FloatArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargFloat")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(FloatArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargFloat")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(FloatArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargFloat")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(FloatArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargFloat")
-inline fun <reified R> udf(
-    varargFunc: KFunction1<FloatArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargFloat")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KFunction1<FloatArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargFloat")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KFunction1<FloatArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargFloat")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<FloatArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: DoubleArray -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: DoubleArray -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargDouble")
-inline fun <reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<DoubleArray, R>,
-): NamedUserDefinedFunctionVararg<Double, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: DoubleArray -> ... }`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargDouble")
-inline fun <reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<DoubleArray, R>,
-): UserDefinedFunctionVararg<Double, R> {
-
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> DoubleArray(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: DoubleArray -> ... }`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargDouble")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<DoubleArray, R>,
-): NamedUserDefinedFunctionVararg<Double, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargDouble")
-inline fun <reified R> udf(
-    varargFunc: KProperty0<(DoubleArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargDouble")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(DoubleArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargDouble")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(DoubleArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargDouble")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(DoubleArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargDouble")
-inline fun <reified R> udf(
-    varargFunc: KFunction1<DoubleArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargDouble")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KFunction1<DoubleArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargDouble")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KFunction1<DoubleArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargDouble")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<DoubleArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: BooleanArray -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: BooleanArray -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargBoolean")
-inline fun <reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<BooleanArray, R>,
-): NamedUserDefinedFunctionVararg<Boolean, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: BooleanArray -> ... }`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargBoolean")
-inline fun <reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<BooleanArray, R>,
-): UserDefinedFunctionVararg<Boolean, R> {
-
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> BooleanArray(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: BooleanArray -> ... }`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargBoolean")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<BooleanArray, R>,
-): NamedUserDefinedFunctionVararg<Boolean, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargBoolean")
-inline fun <reified R> udf(
-    varargFunc: KProperty0<(BooleanArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargBoolean")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(BooleanArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargBoolean")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(BooleanArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargBoolean")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(BooleanArray) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargBoolean")
-inline fun <reified R> udf(
-    varargFunc: KFunction1<BooleanArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargBoolean")
-inline fun <reified R> udf(
-    name: String,
-    varargFunc: KFunction1<BooleanArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargBoolean")
-inline fun <reified R> UDFRegistration.register(
-    varargFunc: KFunction1<BooleanArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargBoolean")
-inline fun <reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<BooleanArray, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
-
-
-/**
- * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf("myUdf") { t1: Array<T> -> ... }`
- * Name can also be supplied using delegate: `val myUdf by udf { t1: Array<T> -> ... }`
- * @see UserDefinedFunction.getValue
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargT")
-inline fun <reified T, reified R> udf(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<Array<T>, R>,
-): NamedUserDefinedFunctionVararg<T, R> =
-    udf(nondeterministic, varargFunc).withName(name)
-
-/**
- * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf { t1: Array<T> -> ... }`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("udfVarargT")
-inline fun <reified T, reified R> udf(
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<Array<T>, R>,
-): UserDefinedFunctionVararg<T, R> {
-    T::class.checkForValidType("T")
-
-    return withAllowUntypedScalaUDF {
-        UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> Array<T>(i, init::call) }, schema(typeOf<R>()).unWrap())
-                .let { if (nondeterministic) it.asNondeterministic() else it }
-                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-            encoder = encoder<R>(),
-        )
-    }
-}
-/**
- * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
- * For example: `val myUdf = udf.register("myUdf") { t1: Array<T> -> ... }`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param name The name for this UDF.
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @param varargFunc The function to convert to a UDF. Can be a lambda.
- */
-@JvmName("registerVarargT")
-inline fun <reified T, reified R> UDFRegistration.register(
-    name: String,
-    nondeterministic: Boolean = false,
-    varargFunc: UDF1<Array<T>, R>,
-): NamedUserDefinedFunctionVararg<T, R> =
-    register(udf(name, nondeterministic, varargFunc))
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargT")
-inline fun <reified T, reified R> udf(
-    varargFunc: KProperty0<(Array<T>) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargT")
-inline fun <reified T, reified R> udf(
-    name: String,
-    varargFunc: KProperty0<(Array<T>) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc.get())
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargT")
-inline fun <reified T, reified R> UDFRegistration.register(
-    varargFunc: KProperty0<(Array<T>) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargT")
-inline fun <reified T, reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KProperty0<(Array<T>) -> R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf(::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargT")
-inline fun <reified T, reified R> udf(
-    varargFunc: KFunction1<Array<T>, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-
-/**
- * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("udfVarargT")
-inline fun <reified T, reified R> udf(
-    name: String,
-    varargFunc: KFunction1<Array<T>, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc)
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
- * For example: `val myUdf = udf.register(::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargT")
-inline fun <reified T, reified R> UDFRegistration.register(
-    varargFunc: KFunction1<Array<T>, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
-
-/**
- * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
- * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
- *
- * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
- *
- * @param name Optional. Name for the UDF.
- * @param varargFunc function reference
- * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
- * @see udf
- */
-@JvmName("registerVarargT")
-inline fun <reified T, reified R> UDFRegistration.register(
-    name: String,
-    varargFunc: KFunction1<Array<T>, R>,
-    nondeterministic: Boolean = false,
-): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
-
+///*-
+// * =LICENSE=
+// * Kotlin Spark API: API for Spark 3.2+ (Scala 2.12)
+// * ----------
+// * Copyright (C) 2019 - 2022 JetBrains
+// * ----------
+// * Licensed under the Apache License, Version 2.0 (the "License");
+// * you may not use this file except in compliance with the License.
+// * You may obtain a copy of the License at
+// *
+// *      http://www.apache.org/licenses/LICENSE-2.0
+// *
+// * Unless required by applicable law or agreed to in writing, software
+// * distributed under the License is distributed on an "AS IS" BASIS,
+// * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// * See the License for the specific language governing permissions and
+// * limitations under the License.
+// * =LICENSEEND=
+// */
+//@file:Suppress("DEPRECATION", "unused", "UNCHECKED_CAST")
+//
+//package org.jetbrains.kotlinx.spark.api
+//
+//
+//import org.apache.spark.sql.*
+//import org.jetbrains.kotlinx.spark.extensions.VarargUnwrapper
+//import org.apache.spark.sql.api.java.*
+//import org.apache.spark.sql.internal.SQLConf
+//import kotlin.reflect.*
+//import org.apache.spark.sql.expressions.UserDefinedFunction as SparkUserDefinedFunction
+//
+///**
+// * Instance of a UDF with vararg arguments of the same type.
+// * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
+// * Alternatively it can be registered for SQL calls using [register].
+// *
+// * @see org.apache.spark.sql.expressions.UserDefinedFunction
+// * @see NamedUserDefinedFunctionVararg
+// * @see udf
+// */
+//open class UserDefinedFunctionVararg<T, R>(
+//    override val udf: SparkUserDefinedFunction,
+//    override val encoder: Encoder<R>,
+//): UserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>> {
+//
+//    /**
+//     * Allows this UDF to be called in typed manner using columns in a [Dataset.selectTyped] call.
+//     * @see typedCol to create typed columns.
+//     * @see org.apache.spark.sql.expressions.UserDefinedFunction.apply
+//     */
+//    operator fun <DsType> invoke(vararg params: TypedColumn<DsType, T>): TypedColumn<DsType, R> = udf.apply(*params).`as`(encoder) as TypedColumn<DsType, R>
+//
+//    /** Returns named variant of this UDF. */
+//    override fun withName(name: String): NamedUserDefinedFunctionVararg<T, R> = NamedUserDefinedFunctionVararg(
+//        name = name,
+//        udf = udf,
+//        encoder = encoder,
+//    )
+//
+//    /**
+//     * Returns named variant of this UDF.
+//     * @see withName
+//     */
+//    override fun getValue(thisRef: Any?, property: KProperty<*>): NamedUserDefinedFunctionVararg<T, R> =
+//        withName(property.name)
+//}
+//
+///**
+// * Instance of a UDF with vararg arguments of the same type with name.
+// * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
+// * Alternatively it can be registered for SQL calls using [register].
+// *
+// * @see org.apache.spark.sql.expressions.UserDefinedFunction
+// * @see UserDefinedFunctionVararg
+// * @see udf
+// */
+//class NamedUserDefinedFunctionVararg<T, R>(
+//    override val name: String,
+//    udf: SparkUserDefinedFunction,
+//    encoder: Encoder<R>,
+//): NamedUserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>>,
+//    UserDefinedFunctionVararg<T, R>(udf = udf.withName(name), encoder = encoder)
+//
+//@PublishedApi
+//internal inline fun <R> withAllowUntypedScalaUDF(block: () -> R): R {
+//    val sqlConf = SQLConf.get()
+//    val confString = "spark.sql.legacy.allowUntypedScalaUDF"
+//    val prev = sqlConf.getConfString(confString, "false")
+//    sqlConf.setConfString(confString, "true")
+//    return try {
+//        block()
+//    } finally {
+//        sqlConf.setConfString(confString, prev)
+//    }
+//}
+//
+//
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: ByteArray -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: ByteArray -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargByte")
+//inline fun <reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<ByteArray, R>,
+//): NamedUserDefinedFunctionVararg<Byte, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: ByteArray -> ... }`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargByte")
+//inline fun <reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<ByteArray, R>,
+//): UserDefinedFunctionVararg<Byte, R> {
+//
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ByteArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: ByteArray -> ... }`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargByte")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<ByteArray, R>,
+//): NamedUserDefinedFunctionVararg<Byte, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargByte")
+//inline fun <reified R> udf(
+//    varargFunc: KProperty0<(ByteArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargByte")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(ByteArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargByte")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(ByteArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargByte")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(ByteArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargByte")
+//inline fun <reified R> udf(
+//    varargFunc: KFunction1<ByteArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargByte")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<ByteArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargByte")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<ByteArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargByte")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<ByteArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: ShortArray -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: ShortArray -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargShort")
+//inline fun <reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<ShortArray, R>,
+//): NamedUserDefinedFunctionVararg<Short, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: ShortArray -> ... }`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargShort")
+//inline fun <reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<ShortArray, R>,
+//): UserDefinedFunctionVararg<Short, R> {
+//
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ShortArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: ShortArray -> ... }`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargShort")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<ShortArray, R>,
+//): NamedUserDefinedFunctionVararg<Short, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargShort")
+//inline fun <reified R> udf(
+//    varargFunc: KProperty0<(ShortArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargShort")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(ShortArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargShort")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(ShortArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargShort")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(ShortArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargShort")
+//inline fun <reified R> udf(
+//    varargFunc: KFunction1<ShortArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargShort")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<ShortArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargShort")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<ShortArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargShort")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<ShortArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: IntArray -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: IntArray -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargInt")
+//inline fun <reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<IntArray, R>,
+//): NamedUserDefinedFunctionVararg<Int, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: IntArray -> ... }`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargInt")
+//inline fun <reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<IntArray, R>,
+//): UserDefinedFunctionVararg<Int, R> {
+//
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> IntArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: IntArray -> ... }`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargInt")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<IntArray, R>,
+//): NamedUserDefinedFunctionVararg<Int, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargInt")
+//inline fun <reified R> udf(
+//    varargFunc: KProperty0<(IntArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargInt")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(IntArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargInt")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(IntArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargInt")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(IntArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargInt")
+//inline fun <reified R> udf(
+//    varargFunc: KFunction1<IntArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargInt")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<IntArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargInt")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<IntArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargInt")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<IntArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: LongArray -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: LongArray -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargLong")
+//inline fun <reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<LongArray, R>,
+//): NamedUserDefinedFunctionVararg<Long, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: LongArray -> ... }`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargLong")
+//inline fun <reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<LongArray, R>,
+//): UserDefinedFunctionVararg<Long, R> {
+//
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> LongArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: LongArray -> ... }`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargLong")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<LongArray, R>,
+//): NamedUserDefinedFunctionVararg<Long, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargLong")
+//inline fun <reified R> udf(
+//    varargFunc: KProperty0<(LongArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargLong")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(LongArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargLong")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(LongArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargLong")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(LongArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargLong")
+//inline fun <reified R> udf(
+//    varargFunc: KFunction1<LongArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargLong")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<LongArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargLong")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<LongArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargLong")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<LongArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: FloatArray -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: FloatArray -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargFloat")
+//inline fun <reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<FloatArray, R>,
+//): NamedUserDefinedFunctionVararg<Float, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: FloatArray -> ... }`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargFloat")
+//inline fun <reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<FloatArray, R>,
+//): UserDefinedFunctionVararg<Float, R> {
+//
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> FloatArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: FloatArray -> ... }`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargFloat")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<FloatArray, R>,
+//): NamedUserDefinedFunctionVararg<Float, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargFloat")
+//inline fun <reified R> udf(
+//    varargFunc: KProperty0<(FloatArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargFloat")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(FloatArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargFloat")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(FloatArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargFloat")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(FloatArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargFloat")
+//inline fun <reified R> udf(
+//    varargFunc: KFunction1<FloatArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargFloat")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<FloatArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargFloat")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<FloatArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargFloat")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<FloatArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: DoubleArray -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: DoubleArray -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargDouble")
+//inline fun <reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<DoubleArray, R>,
+//): NamedUserDefinedFunctionVararg<Double, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: DoubleArray -> ... }`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargDouble")
+//inline fun <reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<DoubleArray, R>,
+//): UserDefinedFunctionVararg<Double, R> {
+//
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> DoubleArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: DoubleArray -> ... }`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargDouble")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<DoubleArray, R>,
+//): NamedUserDefinedFunctionVararg<Double, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargDouble")
+//inline fun <reified R> udf(
+//    varargFunc: KProperty0<(DoubleArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargDouble")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(DoubleArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargDouble")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(DoubleArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargDouble")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(DoubleArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargDouble")
+//inline fun <reified R> udf(
+//    varargFunc: KFunction1<DoubleArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargDouble")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<DoubleArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargDouble")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<DoubleArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargDouble")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<DoubleArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: BooleanArray -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: BooleanArray -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargBoolean")
+//inline fun <reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<BooleanArray, R>,
+//): NamedUserDefinedFunctionVararg<Boolean, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: BooleanArray -> ... }`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargBoolean")
+//inline fun <reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<BooleanArray, R>,
+//): UserDefinedFunctionVararg<Boolean, R> {
+//
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> BooleanArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: BooleanArray -> ... }`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargBoolean")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<BooleanArray, R>,
+//): NamedUserDefinedFunctionVararg<Boolean, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargBoolean")
+//inline fun <reified R> udf(
+//    varargFunc: KProperty0<(BooleanArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargBoolean")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(BooleanArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargBoolean")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(BooleanArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargBoolean")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(BooleanArray) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargBoolean")
+//inline fun <reified R> udf(
+//    varargFunc: KFunction1<BooleanArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargBoolean")
+//inline fun <reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<BooleanArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargBoolean")
+//inline fun <reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<BooleanArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargBoolean")
+//inline fun <reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<BooleanArray, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
+//
+//
+///**
+// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf("myUdf") { t1: Array<T> -> ... }`
+// * Name can also be supplied using delegate: `val myUdf by udf { t1: Array<T> -> ... }`
+// * @see UserDefinedFunction.getValue
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargT")
+//inline fun <reified T, reified R> udf(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<Array<T>, R>,
+//): NamedUserDefinedFunctionVararg<T, R> =
+//    udf(nondeterministic, varargFunc).withName(name)
+//
+///**
+// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf { t1: Array<T> -> ... }`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("udfVarargT")
+//inline fun <reified T, reified R> udf(
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<Array<T>, R>,
+//): UserDefinedFunctionVararg<T, R> {
+//    T::class.checkForValidType("T")
+//
+//    return withAllowUntypedScalaUDF {
+//        UserDefinedFunctionVararg(
+//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> Array<T>(i, init::call) }, kotlinEncoderFor<R>().schema())
+//                .let { if (nondeterministic) it.asNondeterministic() else it }
+//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+//            encoder = kotlinEncoderFor<R>(),
+//        )
+//    }
+//}
+///**
+// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+// * For example: `val myUdf = udf.register("myUdf") { t1: Array<T> -> ... }`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param name The name for this UDF.
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @param varargFunc The function to convert to a UDF. Can be a lambda.
+// */
+//@JvmName("registerVarargT")
+//inline fun <reified T, reified R> UDFRegistration.register(
+//    name: String,
+//    nondeterministic: Boolean = false,
+//    varargFunc: UDF1<Array<T>, R>,
+//): NamedUserDefinedFunctionVararg<T, R> =
+//    register(udf(name, nondeterministic, varargFunc))
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargT")
+//inline fun <reified T, reified R> udf(
+//    varargFunc: KProperty0<(Array<T>) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargT")
+//inline fun <reified T, reified R> udf(
+//    name: String,
+//    varargFunc: KProperty0<(Array<T>) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc.get())
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargT")
+//inline fun <reified T, reified R> UDFRegistration.register(
+//    varargFunc: KProperty0<(Array<T>) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargT")
+//inline fun <reified T, reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KProperty0<(Array<T>) -> R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf(::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargT")
+//inline fun <reified T, reified R> udf(
+//    varargFunc: KFunction1<Array<T>, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+//
+///**
+// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("udfVarargT")
+//inline fun <reified T, reified R> udf(
+//    name: String,
+//    varargFunc: KFunction1<Array<T>, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc)
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+// * For example: `val myUdf = udf.register(::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargT")
+//inline fun <reified T, reified R> UDFRegistration.register(
+//    varargFunc: KFunction1<Array<T>, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
+//
+///**
+// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+// *
+// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+// *
+// * @param name Optional. Name for the UDF.
+// * @param varargFunc function reference
+// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+// * @see udf
+// */
+//@JvmName("registerVarargT")
+//inline fun <reified T, reified R> UDFRegistration.register(
+//    name: String,
+//    varargFunc: KFunction1<Array<T>, R>,
+//    nondeterministic: Boolean = false,
+//): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
+//
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt
index c5fa749a..cf09ca64 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt
@@ -227,10 +227,10 @@ inline fun <reified R> udf(
 
 
     return UserDefinedFunction0(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -454,10 +454,10 @@ inline fun <reified T1, reified R> udf(
     T1::class.checkForValidType("T1")
 
     return UserDefinedFunction1(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -680,10 +680,10 @@ inline fun <reified T1, reified T2, reified R> udf(
     T2::class.checkForValidType("T2")
 
     return UserDefinedFunction2(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -907,10 +907,10 @@ inline fun <reified T1, reified T2, reified T3, reified R> udf(
     T3::class.checkForValidType("T3")
 
     return UserDefinedFunction3(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -1135,10 +1135,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified R> udf(
     T4::class.checkForValidType("T4")
 
     return UserDefinedFunction4(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -1364,10 +1364,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T5::class.checkForValidType("T5")
 
     return UserDefinedFunction5(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -1594,10 +1594,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T6::class.checkForValidType("T6")
 
     return UserDefinedFunction6(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -1825,10 +1825,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T7::class.checkForValidType("T7")
 
     return UserDefinedFunction7(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -2057,10 +2057,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T8::class.checkForValidType("T8")
 
     return UserDefinedFunction8(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -2290,10 +2290,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T9::class.checkForValidType("T9")
 
     return UserDefinedFunction9(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -2524,10 +2524,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T10::class.checkForValidType("T10")
 
     return UserDefinedFunction10(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -2759,10 +2759,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T11::class.checkForValidType("T11")
 
     return UserDefinedFunction11(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -2995,10 +2995,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T12::class.checkForValidType("T12")
 
     return UserDefinedFunction12(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -3232,10 +3232,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T13::class.checkForValidType("T13")
 
     return UserDefinedFunction13(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -3470,10 +3470,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T14::class.checkForValidType("T14")
 
     return UserDefinedFunction14(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -3709,10 +3709,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T15::class.checkForValidType("T15")
 
     return UserDefinedFunction15(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -3949,10 +3949,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T16::class.checkForValidType("T16")
 
     return UserDefinedFunction16(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -4190,10 +4190,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T17::class.checkForValidType("T17")
 
     return UserDefinedFunction17(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -4432,10 +4432,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T18::class.checkForValidType("T18")
 
     return UserDefinedFunction18(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -4675,10 +4675,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T19::class.checkForValidType("T19")
 
     return UserDefinedFunction19(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -4919,10 +4919,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T20::class.checkForValidType("T20")
 
     return UserDefinedFunction20(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -5164,10 +5164,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T21::class.checkForValidType("T21")
 
     return UserDefinedFunction21(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 
@@ -5410,10 +5410,10 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T22::class.checkForValidType("T22")
 
     return UserDefinedFunction22(
-        udf = functions.udf(func, schema(typeOf<R>()).unWrap())
+        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-        encoder = encoder<R>(),
+        encoder = kotlinEncoderFor<R>(),
     )
 }
 

From 66a42ac954ef008e3e261e713047be72fc688fdf Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 16:12:46 +0100
Subject: [PATCH 05/38] updating tests tests

---
 .../jetbrains/kotlinx/spark/api/ApiTest.kt    |    2 +-
 .../kotlinx/spark/api/EncodingTest.kt         |   27 +-
 .../kotlinx/spark/api/StreamingTest.kt        |   33 +-
 .../kotlinx/spark/api/TypeInferenceTest.kt    |   24 +-
 .../jetbrains/kotlinx/spark/api/UDFTest.kt    | 1234 ++++++++---------
 5 files changed, 667 insertions(+), 653 deletions(-)

diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt
index 9a7168e5..6fc1760c 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt
@@ -34,7 +34,7 @@ class ApiTest : ShouldSpec({
         withSpark(props = mapOf("spark.sql.codegen.comments" to true)) {
 
             should("Create Seqs") {
-                spark.createDataset(seqOf(1, 2, 3), encoder())
+                spark.createDataset(seqOf(1, 2, 3), kotlinEncoderFor())
                     .collectAsList() shouldBe listOf(1, 2, 3)
 
 
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
index 5d6affcb..83f74ea1 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
@@ -27,7 +27,6 @@ import org.apache.spark.sql.Dataset
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.unsafe.types.CalendarInterval
 import org.jetbrains.kotlinx.spark.api.tuples.*
-import org.jetbrains.kotlinx.spark.extensions.DemoCaseClass
 import scala.*
 import java.math.BigDecimal
 import java.sql.Date
@@ -211,9 +210,9 @@ class EncodingTest : ShouldSpec({
 
             should("handle Scala Case class datasets") {
                 val caseClasses = listOf(
-                    DemoCaseClass(1, "1"),
-                    DemoCaseClass(2, "2"),
-                    DemoCaseClass(3, "3"),
+                    tupleOf(1, "1"),
+                    tupleOf(2, "2"),
+                    tupleOf(3, "3"),
                 )
                 val dataset = caseClasses.toDS()
                 dataset.show()
@@ -222,9 +221,9 @@ class EncodingTest : ShouldSpec({
 
             should("handle Scala Case class with data class datasets") {
                 val caseClasses = listOf(
-                    DemoCaseClass(1, "1" to 1L),
-                    DemoCaseClass(2, "2" to 2L),
-                    DemoCaseClass(3, "3" to 3L),
+                    tupleOf(1, "1" to 1L),
+                    tupleOf(2, "2" to 2L),
+                    tupleOf(3, "3" to 3L),
                 )
                 val dataset = caseClasses.toDS()
                 dataset.show()
@@ -233,9 +232,9 @@ class EncodingTest : ShouldSpec({
 
             should("handle data class with Scala Case class datasets") {
                 val caseClasses = listOf(
-                    1 to DemoCaseClass(1, "1"),
-                    2 to DemoCaseClass(2, "2"),
-                    3 to DemoCaseClass(3, "3"),
+                    1 to tupleOf(1, "1"),
+                    2 to tupleOf(2, "2"),
+                    3 to tupleOf(3, "3"),
                 )
                 val dataset = caseClasses.toDS()
                 dataset.show()
@@ -244,9 +243,9 @@ class EncodingTest : ShouldSpec({
 
             should("handle data class with Scala Case class & deeper datasets") {
                 val caseClasses = listOf(
-                    1 to DemoCaseClass(1, "1" to DemoCaseClass(1, 1.0)),
-                    2 to DemoCaseClass(2, "2" to DemoCaseClass(2, 2.0)),
-                    3 to DemoCaseClass(3, "3" to DemoCaseClass(3, 3.0)),
+                    1 to tupleOf(1, "1" to tupleOf(1, 1.0)),
+                    2 to tupleOf(2, "2" to tupleOf(2, 2.0)),
+                    3 to tupleOf(3, "3" to tupleOf(3, 3.0)),
                 )
                 val dataset = caseClasses.toDS()
                 dataset.show()
@@ -426,7 +425,7 @@ class EncodingTest : ShouldSpec({
             }
 
             should("Generate schema correctly with nullalble list and map") {
-                val schema = encoder<NullFieldAbleDataClass>().schema()
+                val schema = kotlinEncoderFor<NullFieldAbleDataClass>().schema()
                 schema.fields().forEach {
                     it.nullable() shouldBe true
                 }
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
index 4cc8b9c8..a27d080b 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
@@ -26,18 +26,15 @@ import io.kotest.matchers.collections.shouldContainAll
 import io.kotest.matchers.shouldBe
 import org.apache.commons.io.FileUtils
 import org.apache.hadoop.fs.FileSystem
+import org.apache.hadoop.fs.Path
 import org.apache.spark.SparkException
-import org.apache.spark.streaming.Checkpoint
 import org.apache.spark.streaming.Duration
 import org.apache.spark.streaming.Durations
 import org.apache.spark.streaming.Time
-import org.apache.spark.util.Utils
 import org.jetbrains.kotlinx.spark.api.tuples.X
 import org.jetbrains.kotlinx.spark.api.tuples.component1
 import org.jetbrains.kotlinx.spark.api.tuples.component2
 import org.jetbrains.kotlinx.spark.api.tuples.t
-import org.jetbrains.kotlinx.spark.extensions.KSparkExtensions
-import org.jetbrains.kotlinx.spark.extensions.`KSparkExtensions$`
 import scala.Tuple2
 import java.io.File
 import java.io.Serializable
@@ -202,18 +199,36 @@ class StreamingTest : ShouldSpec({
 })
 
 
-private val scalaCompatVersion = `KSparkExtensions$`.`MODULE$`.scalaCompatVersion()
-private val sparkVersion = `KSparkExtensions$`.`MODULE$`.sparkVersion()
-private fun createTempDir() = Utils.createTempDir(
+private val scalaCompatVersion = SCALA_COMPAT_VERSION
+private val sparkVersion = SPARK_VERSION
+private fun createTempDir() = File.createTempFile(
     System.getProperty("java.io.tmpdir"),
     "spark_${scalaCompatVersion}_${sparkVersion}"
 ).apply { deleteOnExit() }
 
+private fun checkpointFile(checkpointDir: String, checkpointTime: Time): Path {
+    val klass = Class.forName("org.apache.spark.streaming.Checkpoint$")
+    val moduleField = klass.getField("MODULE$").also { it.isAccessible = true }
+    val module = moduleField.get(null)
+    val checkpointFileMethod = klass.getMethod("checkpointFile", String::class.java, Time::class.java)
+        .also { it.isAccessible = true }
+    return checkpointFileMethod.invoke(module, checkpointDir, checkpointTime) as Path
+}
+
+private fun getCheckpointFiles(checkpointDir: String, fs: scala.Option<FileSystem>): scala.collection.immutable.Seq<Path> {
+    val klass = Class.forName("org.apache.spark.streaming.Checkpoint$")
+    val moduleField = klass.getField("MODULE$").also { it.isAccessible = true }
+    val module = moduleField.get(null)
+    val getCheckpointFilesMethod = klass.getMethod("getCheckpointFiles", String::class.java, scala.Option::class.java)
+        .also { it.isAccessible = true }
+    return getCheckpointFilesMethod.invoke(module, checkpointDir, fs) as scala.collection.immutable.Seq<Path>
+}
+
 private fun createCorruptedCheckpoint(): String {
     val checkpointDirectory = createTempDir().absolutePath
-    val fakeCheckpointFile = Checkpoint.checkpointFile(checkpointDirectory, Time(1000))
+    val fakeCheckpointFile = checkpointFile(checkpointDirectory, Time(1000))
     FileUtils.write(File(fakeCheckpointFile.toString()), "spark_corrupt_${scalaCompatVersion}_${sparkVersion}", StandardCharsets.UTF_8)
-    assert(Checkpoint.getCheckpointFiles(checkpointDirectory, (null as FileSystem?).toOption()).nonEmpty())
+    assert(getCheckpointFiles(checkpointDirectory, (null as FileSystem?).toOption()).nonEmpty())
     return checkpointDirectory
 }
 
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
index 1eb54ba4..983b2caf 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
@@ -38,7 +38,7 @@ class TypeInferenceTest : ShouldSpec({
         data class Test2<T>(val vala2: T, val para2: Pair<T, String>)
         data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
 
-        val struct = Struct.fromJson(schema(typeOf<Pair<String, Test<Int>>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<Pair<String, Test<Int>>>().schema().prettyJson())!!
         should("contain correct typings") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("first", "string"),
@@ -68,7 +68,7 @@ class TypeInferenceTest : ShouldSpec({
         data class Test2<T>(val vala2: T, val para2: Pair<T, Single<Double>>)
         data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
 
-        val struct = Struct.fromJson(schema(typeOf<Pair<String, Test<Int>>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<Pair<String, Test<Int>>>().schema().prettyJson())!!
         should("contain correct typings") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("first", "string"),
@@ -99,7 +99,7 @@ class TypeInferenceTest : ShouldSpec({
     context("org.jetbrains.spark.api.org.jetbrains.spark.api.schema without generics") {
         data class Test(val a: String, val b: Int, val c: Double)
 
-        val struct = Struct.fromJson(schema(typeOf<Test>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<Test>().schema().prettyJson())!!
         should("return correct types too") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("a", "string"),
@@ -109,7 +109,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of ints") {
-        val struct = Struct.fromJson(schema(typeOf<List<Int>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<List<Int>>().schema().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -118,7 +118,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of Pairs int to long") {
-        val struct = Struct.fromJson(schema(typeOf<List<Pair<Int, Long>>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<List<Pair<Int, Long>>>().schema().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -134,7 +134,7 @@ class TypeInferenceTest : ShouldSpec({
     context("type with list of generic data class with E generic name") {
         data class Test<E>(val e: E)
 
-        val struct = Struct.fromJson(schema(typeOf<List<Test<String>>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<List<Test<String>>>().schema().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -147,7 +147,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of list of int") {
-        val struct = Struct.fromJson(schema(typeOf<List<List<Int>>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<List<List<Int>>>().schema().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -158,7 +158,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("Subtypes of list") {
-        val struct = Struct.fromJson(schema(typeOf<ArrayList<Int>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<ArrayList<Int>>().schema().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -168,7 +168,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("Subtypes of list with nullable values") {
-        val struct = Struct.fromJson(schema(typeOf<ArrayList<Int?>>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<ArrayList<Int?>>().schema().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -180,7 +180,7 @@ class TypeInferenceTest : ShouldSpec({
     context("data class with props in order lon → lat") {
         data class Test(val lon: Double, val lat: Double)
 
-        val struct = Struct.fromJson(schema(typeOf<Test>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<Test>().schema().prettyJson())!!
         should("Not change order of fields") {
             expect(struct.fields).notToEqualNull().containsExactly(
                 hasField("lon", "double"),
@@ -191,7 +191,7 @@ class TypeInferenceTest : ShouldSpec({
     context("data class with nullable list inside") {
         data class Sample(val optionList: List<Int>?)
 
-        val struct = Struct.fromJson(schema(typeOf<Sample>()).prettyJson())!!
+        val struct = Struct.fromJson(kotlinEncoderFor<Sample>().schema().prettyJson())!!
 
         should("show that list is nullable and element is not") {
             expect(struct)
@@ -213,7 +213,7 @@ class TypeInferenceTest : ShouldSpec({
         }
 
         should("generate valid serializer schema") {
-            expect(encoder<Sample>().schema()) {
+            expect(kotlinEncoderFor<Sample>().schema()) {
                 this
                     .feature("data type", { this.fields()?.toList() }) {
                         this.notToEqualNull().toContain.inOrder.only.entry {
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
index 393d54d5..2893acf8 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
@@ -491,8 +491,8 @@ class UDFTest : ShouldSpec({
                             buffer.apply { sum += it.sum; count += it.count }
 
                         override fun finish(it: Average) = it.sum.toDouble() / it.count
-                        override fun bufferEncoder() = encoder<Average>()
-                        override fun outputEncoder() = encoder<Double>()
+                        override fun bufferEncoder() = kotlinEncoderFor<Average>()
+                        override fun outputEncoder() = kotlinEncoderFor<Double>()
                     }
 
 //                    shouldThrow<IllegalStateException> {
@@ -615,8 +615,8 @@ class UDFTest : ShouldSpec({
                                 buffer.apply { sum += it.sum; count += it.count }
 
                             override fun finish(it: Average) = it.sum.toDouble() / it.count
-                            override fun bufferEncoder() = encoder<Average>()
-                            override fun outputEncoder() = encoder<Double>()
+                            override fun bufferEncoder() = kotlinEncoderFor<Average>()
+                            override fun outputEncoder() = kotlinEncoderFor<Double>()
                         }
                     )
 
@@ -648,617 +648,617 @@ class UDFTest : ShouldSpec({
 
     }
 
-    context("vararg UDF tests") {
-        fun firstByte(vararg a: Byte) = a.firstOrNull()
-        fun firstShort(vararg a: Short) = a.firstOrNull()
-        fun firstInt(vararg a: Int) = a.firstOrNull()
-        fun firstLong(vararg a: Long) = a.firstOrNull()
-        fun firstFloat(vararg a: Float) = a.firstOrNull()
-        fun firstDouble(vararg a: Double) = a.firstOrNull()
-        fun firstBoolean(vararg a: Boolean) = a.firstOrNull()
-        fun firstString(vararg a: String) = a.firstOrNull()
-
-
-        context("Creating Vararg UDF") {
-            withSpark(logLevel = SparkLogLevel.DEBUG) {
-
-                should("Create Byte vararg udf") {
-                    udf(::firstByte).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-                        it.name shouldBe "firstByte"
-                    }
-                    udf("test", ::firstByte).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstByteVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-                        it.name shouldBe "firstByteVal"
-                    }
-                    udf("test", ::firstByteVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: ByteArray -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<Byte, Byte?>>()
-                    }
-                    udf("test") { a: ByteArray -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-
-                should("Create Short vararg udf") {
-                    udf(::firstShort).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-                        it.name shouldBe "firstShort"
-                    }
-                    udf("test", ::firstShort).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstShortVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-                        it.name shouldBe "firstShortVal"
-                    }
-                    udf("test", ::firstShortVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: ShortArray -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<Short, Short?>>()
-                    }
-                    udf("test") { a: ShortArray -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-
-                should("Create Int vararg udf") {
-                    udf(::firstInt).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-                        it.name shouldBe "firstInt"
-                    }
-                    udf("test", ::firstInt).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstIntVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-                        it.name shouldBe "firstIntVal"
-                    }
-                    udf("test", ::firstIntVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: IntArray -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<Int, Int?>>()
-                    }
-                    udf("test") { a: IntArray -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-
-                should("Create Long vararg udf") {
-                    udf(::firstLong).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-                        it.name shouldBe "firstLong"
-                    }
-                    udf("test", ::firstLong).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstLongVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-                        it.name shouldBe "firstLongVal"
-                    }
-                    udf("test", ::firstLongVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: LongArray -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<Long, Long?>>()
-                    }
-                    udf("test") { a: LongArray -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-
-                should("Create Float vararg udf") {
-                    udf(::firstFloat).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-                        it.name shouldBe "firstFloat"
-                    }
-                    udf("test", ::firstFloat).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstFloatVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-                        it.name shouldBe "firstFloatVal"
-                    }
-                    udf("test", ::firstFloatVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: FloatArray -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<Float, Float?>>()
-                    }
-                    udf("test") { a: FloatArray -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-
-                should("Create Double vararg udf") {
-                    udf(::firstDouble).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-                        it.name shouldBe "firstDouble"
-                    }
-                    udf("test", ::firstDouble).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstDoubleVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-                        it.name shouldBe "firstDoubleVal"
-                    }
-                    udf("test", ::firstDoubleVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: DoubleArray -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<Double, Double?>>()
-                    }
-                    udf("test") { a: DoubleArray -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-
-                should("Create Boolean vararg udf") {
-                    udf(::firstBoolean).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-                        it.name shouldBe "firstBoolean"
-                    }
-                    udf("test", ::firstBoolean).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstBooleanVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-                        it.name shouldBe "firstBooleanVal"
-                    }
-                    udf("test", ::firstBooleanVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: BooleanArray -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<Boolean, Boolean?>>()
-                    }
-                    udf("test") { a: BooleanArray -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-
-                should("Create Any vararg udf") {
-                    udf(::firstString).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-                        it.name shouldBe "firstString"
-                    }
-                    udf("test", ::firstString).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf(::firstStringVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-                        it.name shouldBe "firstStringVal"
-                    }
-                    udf("test", ::firstStringVal).let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-                        it.name shouldBe "test"
-                    }
-                    udf { a: Array<String> -> a.firstOrNull() }.let {
-                        it should beOfType<UserDefinedFunctionVararg<String, String?>>()
-                    }
-                    udf("test") { a: Array<String> -> a.firstOrNull() }.let {
-                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-                        it.name shouldBe "test"
-                    }
-                }
-            }
-        }
-
-        context("Call vararg udf from sql") {
-            withSpark(logLevel = SparkLogLevel.DEBUG) {
-                should("with Bytes") {
-                    val value = 1.toByte()
-                    udf.register(::firstByte)
-
-                    spark.sql("select firstByte()")
-                        .collectAsList()
-                        .single()
-                        .getAs<Byte?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstByte(" + values.joinToString() + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<Byte?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstByte(" + values.joinToString() + ")")
-                    }
-                }
-
-                should("with Shorts") {
-                    val value = 1.toShort()
-                    udf.register(::firstShort)
-
-                    spark.sql("select firstShort()")
-                        .collectAsList()
-                        .single()
-                        .getAs<Short?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstShort(" + values.joinToString() + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<Short?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstShort(" + values.joinToString() + ")")
-                    }
-                }
-
-                should("with Ints") {
-                    val value = 1
-                    udf.register(::firstInt)
-
-                    spark.sql("select firstInt()")
-                        .collectAsList()
-                        .single()
-                        .getAs<Int?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstInt(" + values.joinToString() + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<Int?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstInt(" + values.joinToString() + ")")
-                    }
-                }
-
-                should("with Longs") {
-                    val value = 1L
-                    udf.register(::firstLong)
-
-                    spark.sql("select firstLong()")
-                        .collectAsList()
-                        .single()
-                        .getAs<Long?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstLong(" + values.joinToString() + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<Long?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstLong(" + values.joinToString() + ")")
-                    }
-                }
-
-                should("with Floats") {
-                    val value = 1f
-                    udf.register(::firstFloat)
-
-                    spark.sql("select firstFloat()")
-                        .collectAsList()
-                        .single()
-                        .getAs<Float?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstFloat(" + values.joinToString() + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<Float?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstFloat(" + values.joinToString() + ")")
-                    }
-                }
-
-                should("with Doubles") {
-                    val value = 1.0
-                    udf.register(::firstDouble)
-
-                    spark.sql("select firstDouble()")
-                        .collectAsList()
-                        .single()
-                        .getAs<Double?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstDouble(" + values.joinToString() + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<Double?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstDouble(" + values.joinToString() + ")")
-                    }
-                }
-
-                should("with Booleans") {
-                    val value = true
-                    udf.register(::firstBoolean)
-
-                    spark.sql("select firstBoolean()")
-                        .collectAsList()
-                        .single()
-                        .getAs<Boolean?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<Boolean?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
-                    }
-                }
-
-                should("with Anys") {
-                    val value = "test"
-                    udf.register(::firstString)
-
-                    spark.sql("select firstString()")
-                        .collectAsList()
-                        .single()
-                        .getAs<String?>(0) shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { value }
-                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
-                            .collectAsList()
-                            .single()
-                            .getAs<String?>(0) shouldBe value
-                    }
-
-                    val values = (1..23).map { value }
-                    shouldThrow<scala.MatchError> {
-                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
-                    }
-                }
-
-
-            }
-        }
-
-        context("Call vararg udf from dataset select") {
-            withSpark(logLevel = SparkLogLevel.DEBUG) {
-                should("with Bytes") {
-                    val value = 1.toByte()
-                    val ds = dsOf(value)
-
-                    val firstByte = udf.register(::firstByte)
-
-                    ds.select(firstByte())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstByte(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstByte(*values))
-                    }
-                }
-
-                should("with Shorts") {
-                    val value = 1.toShort()
-                    val ds = dsOf(value)
-
-                    val firstShort = udf.register(::firstShort)
-
-                    ds.select(firstShort())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstShort(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstShort(*values))
-                    }
-                }
-
-                should("with Ints") {
-                    val value = 1
-                    val ds = dsOf(value)
-
-                    val firstInt = udf.register(::firstInt)
-
-                    ds.select(firstInt())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstInt(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstInt(*values))
-                    }
-                }
-
-                should("with Longs") {
-                    val value = 1L
-                    val ds = dsOf(value)
-
-                    val firstLong = udf.register(::firstLong)
-
-                    ds.select(firstLong())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstLong(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstLong(*values))
-                    }
-                }
-
-                should("with Floats") {
-                    val value = 1f
-                    val ds = dsOf(value)
-
-                    val firstFloat = udf.register(::firstFloat)
-
-                    ds.select(firstFloat())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstFloat(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstFloat(*values))
-                    }
-                }
-
-                should("with Doubles") {
-                    val value = 1.0
-                    val ds = dsOf(value)
-
-                    val firstDouble = udf.register(::firstDouble)
-
-                    ds.select(firstDouble())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstDouble(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstDouble(*values))
-                    }
-                }
-
-                should("with Booleans") {
-                    val value = true
-                    val ds = dsOf(value)
-
-                    val firstBoolean = udf.register(::firstBoolean)
-
-                    ds.select(firstBoolean())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstBoolean(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstBoolean(*values))
-                    }
-                }
-
-                should("with Anys") {
-                    val value = "test"
-                    val ds = dsOf(value)
-
-                    val firstString = udf.register(::firstString)
-
-                    ds.select(firstString())
-                        .collectAsList()
-                        .single() shouldBe null
-
-                    (1..22).forEach { nr ->
-                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-
-                        ds.select(firstString(*values))
-                            .collectAsList()
-                            .single() shouldBe value
-                    }
-
-                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-                    shouldThrow<scala.MatchError> {
-                        ds.select(firstString(*values))
-                    }
-                }
-            }
-        }
-
-    }
+//    context("vararg UDF tests") {
+//        fun firstByte(vararg a: Byte) = a.firstOrNull()
+//        fun firstShort(vararg a: Short) = a.firstOrNull()
+//        fun firstInt(vararg a: Int) = a.firstOrNull()
+//        fun firstLong(vararg a: Long) = a.firstOrNull()
+//        fun firstFloat(vararg a: Float) = a.firstOrNull()
+//        fun firstDouble(vararg a: Double) = a.firstOrNull()
+//        fun firstBoolean(vararg a: Boolean) = a.firstOrNull()
+//        fun firstString(vararg a: String) = a.firstOrNull()
+//
+//
+//        context("Creating Vararg UDF") {
+//            withSpark(logLevel = SparkLogLevel.DEBUG) {
+//
+//                should("Create Byte vararg udf") {
+//                    udf(::firstByte).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+//                        it.name shouldBe "firstByte"
+//                    }
+//                    udf("test", ::firstByte).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstByteVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+//                        it.name shouldBe "firstByteVal"
+//                    }
+//                    udf("test", ::firstByteVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: ByteArray -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<Byte, Byte?>>()
+//                    }
+//                    udf("test") { a: ByteArray -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//
+//                should("Create Short vararg udf") {
+//                    udf(::firstShort).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+//                        it.name shouldBe "firstShort"
+//                    }
+//                    udf("test", ::firstShort).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstShortVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+//                        it.name shouldBe "firstShortVal"
+//                    }
+//                    udf("test", ::firstShortVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: ShortArray -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<Short, Short?>>()
+//                    }
+//                    udf("test") { a: ShortArray -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//
+//                should("Create Int vararg udf") {
+//                    udf(::firstInt).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+//                        it.name shouldBe "firstInt"
+//                    }
+//                    udf("test", ::firstInt).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstIntVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+//                        it.name shouldBe "firstIntVal"
+//                    }
+//                    udf("test", ::firstIntVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: IntArray -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<Int, Int?>>()
+//                    }
+//                    udf("test") { a: IntArray -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//
+//                should("Create Long vararg udf") {
+//                    udf(::firstLong).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+//                        it.name shouldBe "firstLong"
+//                    }
+//                    udf("test", ::firstLong).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstLongVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+//                        it.name shouldBe "firstLongVal"
+//                    }
+//                    udf("test", ::firstLongVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: LongArray -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<Long, Long?>>()
+//                    }
+//                    udf("test") { a: LongArray -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//
+//                should("Create Float vararg udf") {
+//                    udf(::firstFloat).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+//                        it.name shouldBe "firstFloat"
+//                    }
+//                    udf("test", ::firstFloat).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstFloatVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+//                        it.name shouldBe "firstFloatVal"
+//                    }
+//                    udf("test", ::firstFloatVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: FloatArray -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<Float, Float?>>()
+//                    }
+//                    udf("test") { a: FloatArray -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//
+//                should("Create Double vararg udf") {
+//                    udf(::firstDouble).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+//                        it.name shouldBe "firstDouble"
+//                    }
+//                    udf("test", ::firstDouble).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstDoubleVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+//                        it.name shouldBe "firstDoubleVal"
+//                    }
+//                    udf("test", ::firstDoubleVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: DoubleArray -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<Double, Double?>>()
+//                    }
+//                    udf("test") { a: DoubleArray -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//
+//                should("Create Boolean vararg udf") {
+//                    udf(::firstBoolean).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+//                        it.name shouldBe "firstBoolean"
+//                    }
+//                    udf("test", ::firstBoolean).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstBooleanVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+//                        it.name shouldBe "firstBooleanVal"
+//                    }
+//                    udf("test", ::firstBooleanVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: BooleanArray -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<Boolean, Boolean?>>()
+//                    }
+//                    udf("test") { a: BooleanArray -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//
+//                should("Create Any vararg udf") {
+//                    udf(::firstString).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+//                        it.name shouldBe "firstString"
+//                    }
+//                    udf("test", ::firstString).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf(::firstStringVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+//                        it.name shouldBe "firstStringVal"
+//                    }
+//                    udf("test", ::firstStringVal).let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                    udf { a: Array<String> -> a.firstOrNull() }.let {
+//                        it should beOfType<UserDefinedFunctionVararg<String, String?>>()
+//                    }
+//                    udf("test") { a: Array<String> -> a.firstOrNull() }.let {
+//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+//                        it.name shouldBe "test"
+//                    }
+//                }
+//            }
+//        }
+//
+//        context("Call vararg udf from sql") {
+//            withSpark(logLevel = SparkLogLevel.DEBUG) {
+//                should("with Bytes") {
+//                    val value = 1.toByte()
+//                    udf.register(::firstByte)
+//
+//                    spark.sql("select firstByte()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<Byte?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstByte(" + values.joinToString() + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<Byte?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstByte(" + values.joinToString() + ")")
+//                    }
+//                }
+//
+//                should("with Shorts") {
+//                    val value = 1.toShort()
+//                    udf.register(::firstShort)
+//
+//                    spark.sql("select firstShort()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<Short?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstShort(" + values.joinToString() + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<Short?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstShort(" + values.joinToString() + ")")
+//                    }
+//                }
+//
+//                should("with Ints") {
+//                    val value = 1
+//                    udf.register(::firstInt)
+//
+//                    spark.sql("select firstInt()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<Int?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstInt(" + values.joinToString() + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<Int?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstInt(" + values.joinToString() + ")")
+//                    }
+//                }
+//
+//                should("with Longs") {
+//                    val value = 1L
+//                    udf.register(::firstLong)
+//
+//                    spark.sql("select firstLong()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<Long?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstLong(" + values.joinToString() + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<Long?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstLong(" + values.joinToString() + ")")
+//                    }
+//                }
+//
+//                should("with Floats") {
+//                    val value = 1f
+//                    udf.register(::firstFloat)
+//
+//                    spark.sql("select firstFloat()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<Float?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstFloat(" + values.joinToString() + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<Float?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstFloat(" + values.joinToString() + ")")
+//                    }
+//                }
+//
+//                should("with Doubles") {
+//                    val value = 1.0
+//                    udf.register(::firstDouble)
+//
+//                    spark.sql("select firstDouble()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<Double?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstDouble(" + values.joinToString() + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<Double?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstDouble(" + values.joinToString() + ")")
+//                    }
+//                }
+//
+//                should("with Booleans") {
+//                    val value = true
+//                    udf.register(::firstBoolean)
+//
+//                    spark.sql("select firstBoolean()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<Boolean?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<Boolean?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
+//                    }
+//                }
+//
+//                should("with Anys") {
+//                    val value = "test"
+//                    udf.register(::firstString)
+//
+//                    spark.sql("select firstString()")
+//                        .collectAsList()
+//                        .single()
+//                        .getAs<String?>(0) shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { value }
+//                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
+//                            .collectAsList()
+//                            .single()
+//                            .getAs<String?>(0) shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { value }
+//                    shouldThrow<scala.MatchError> {
+//                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
+//                    }
+//                }
+//
+//
+//            }
+//        }
+//
+//        context("Call vararg udf from dataset select") {
+//            withSpark(logLevel = SparkLogLevel.DEBUG) {
+//                should("with Bytes") {
+//                    val value = 1.toByte()
+//                    val ds = dsOf(value)
+//
+//                    val firstByte = udf.register(::firstByte)
+//
+//                    ds.select(firstByte())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstByte(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstByte(*values))
+//                    }
+//                }
+//
+//                should("with Shorts") {
+//                    val value = 1.toShort()
+//                    val ds = dsOf(value)
+//
+//                    val firstShort = udf.register(::firstShort)
+//
+//                    ds.select(firstShort())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstShort(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstShort(*values))
+//                    }
+//                }
+//
+//                should("with Ints") {
+//                    val value = 1
+//                    val ds = dsOf(value)
+//
+//                    val firstInt = udf.register(::firstInt)
+//
+//                    ds.select(firstInt())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstInt(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstInt(*values))
+//                    }
+//                }
+//
+//                should("with Longs") {
+//                    val value = 1L
+//                    val ds = dsOf(value)
+//
+//                    val firstLong = udf.register(::firstLong)
+//
+//                    ds.select(firstLong())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstLong(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstLong(*values))
+//                    }
+//                }
+//
+//                should("with Floats") {
+//                    val value = 1f
+//                    val ds = dsOf(value)
+//
+//                    val firstFloat = udf.register(::firstFloat)
+//
+//                    ds.select(firstFloat())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstFloat(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstFloat(*values))
+//                    }
+//                }
+//
+//                should("with Doubles") {
+//                    val value = 1.0
+//                    val ds = dsOf(value)
+//
+//                    val firstDouble = udf.register(::firstDouble)
+//
+//                    ds.select(firstDouble())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstDouble(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstDouble(*values))
+//                    }
+//                }
+//
+//                should("with Booleans") {
+//                    val value = true
+//                    val ds = dsOf(value)
+//
+//                    val firstBoolean = udf.register(::firstBoolean)
+//
+//                    ds.select(firstBoolean())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstBoolean(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstBoolean(*values))
+//                    }
+//                }
+//
+//                should("with Anys") {
+//                    val value = "test"
+//                    val ds = dsOf(value)
+//
+//                    val firstString = udf.register(::firstString)
+//
+//                    ds.select(firstString())
+//                        .collectAsList()
+//                        .single() shouldBe null
+//
+//                    (1..22).forEach { nr ->
+//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+//
+//                        ds.select(firstString(*values))
+//                            .collectAsList()
+//                            .single() shouldBe value
+//                    }
+//
+//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+//                    shouldThrow<scala.MatchError> {
+//                        ds.select(firstString(*values))
+//                    }
+//                }
+//            }
+//        }
+//
+//    }
 })
 
 data class Employee(val name: String, val salary: Long)
@@ -1288,10 +1288,10 @@ private object MyAverage : Aggregator<Employee, Average, Double>() {
     override fun finish(reduction: Average): Double = reduction.sum.toDouble() / reduction.count
 
     // Specifies the Encoder for the intermediate value type
-    override fun bufferEncoder(): Encoder<Average> = encoder()
+    override fun bufferEncoder(): Encoder<Average> = kotlinEncoderFor()
 
     // Specifies the Encoder for the final output value type
-    override fun outputEncoder(): Encoder<Double> = encoder()
+    override fun outputEncoder(): Encoder<Double> = kotlinEncoderFor()
 
 }
 

From 3e9261ff1e2dbe15171697b5b5ea00a59d13f8af Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 16:36:33 +0100
Subject: [PATCH 06/38] made name hack optional as it is not waterproof

---
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 48 +++++++++++--------
 1 file changed, 29 insertions(+), 19 deletions(-)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 54207bf5..987e83ac 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -109,6 +109,11 @@ fun schema(kType: KType): DataType = kotlinEncoderFor<Any?>(kType).schema()
 
 object KotlinTypeInference {
 
+    // TODO this hack is a WIP and can give errors
+    // TODO it's to make data classes get column names like "age" with functions like "getAge"
+    // TODO instead of column names like "getAge"
+    var DO_NAME_HACK = false
+
     /**
      * @param kClass the class for which to infer the encoder.
      * @param arguments the generic type arguments for the class.
@@ -255,22 +260,22 @@ object KotlinTypeInference {
             currentType == typeOf<scala.Double>() -> AgnosticEncoders.`PrimitiveDoubleEncoder$`.`MODULE$`
 
             // boxed primitives java / kotlin
-            currentType == typeOf<Boolean?>() -> AgnosticEncoders.`BoxedBooleanEncoder$`.`MODULE$`
-            currentType == typeOf<Byte?>() -> AgnosticEncoders.`BoxedByteEncoder$`.`MODULE$`
-            currentType == typeOf<Short?>() -> AgnosticEncoders.`BoxedShortEncoder$`.`MODULE$`
-            currentType == typeOf<Int?>() -> AgnosticEncoders.`BoxedIntEncoder$`.`MODULE$`
-            currentType == typeOf<Long?>() -> AgnosticEncoders.`BoxedLongEncoder$`.`MODULE$`
-            currentType == typeOf<Float?>() -> AgnosticEncoders.`BoxedFloatEncoder$`.`MODULE$`
-            currentType == typeOf<Double?>() -> AgnosticEncoders.`BoxedDoubleEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Boolean?>() -> AgnosticEncoders.`BoxedBooleanEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Byte?>() -> AgnosticEncoders.`BoxedByteEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Short?>() -> AgnosticEncoders.`BoxedShortEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Int?>() -> AgnosticEncoders.`BoxedIntEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Long?>() -> AgnosticEncoders.`BoxedLongEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Float?>() -> AgnosticEncoders.`BoxedFloatEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<Double?>() -> AgnosticEncoders.`BoxedDoubleEncoder$`.`MODULE$`
 
             // boxed primitives scala
-            currentType == typeOf<scala.Boolean?>() -> AgnosticEncoders.`BoxedBooleanEncoder$`.`MODULE$`
-            currentType == typeOf<scala.Byte?>() -> AgnosticEncoders.`BoxedByteEncoder$`.`MODULE$`
-            currentType == typeOf<scala.Short?>() -> AgnosticEncoders.`BoxedShortEncoder$`.`MODULE$`
-            currentType == typeOf<scala.Int?>() -> AgnosticEncoders.`BoxedIntEncoder$`.`MODULE$`
-            currentType == typeOf<scala.Long?>() -> AgnosticEncoders.`BoxedLongEncoder$`.`MODULE$`
-            currentType == typeOf<scala.Float?>() -> AgnosticEncoders.`BoxedFloatEncoder$`.`MODULE$`
-            currentType == typeOf<scala.Double?>() -> AgnosticEncoders.`BoxedDoubleEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<scala.Boolean?>() -> AgnosticEncoders.`BoxedBooleanEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<scala.Byte?>() -> AgnosticEncoders.`BoxedByteEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<scala.Short?>() -> AgnosticEncoders.`BoxedShortEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<scala.Int?>() -> AgnosticEncoders.`BoxedIntEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<scala.Long?>() -> AgnosticEncoders.`BoxedLongEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<scala.Float?>() -> AgnosticEncoders.`BoxedFloatEncoder$`.`MODULE$`
+            currentType.isSubtypeOf<scala.Double?>() -> AgnosticEncoders.`BoxedDoubleEncoder$`.`MODULE$`
 
             // leaf encoders
             currentType.isSubtypeOf<String?>() -> AgnosticEncoders.`StringEncoder$`.`MODULE$`
@@ -482,7 +487,8 @@ object KotlinTypeInference {
                     val writeMethodName = (prop as? KMutableProperty<*>)?.setter?.javaMethod?.name
 
                     DirtyProductEncoderField(
-                        name = paramName,
+                        doNameHack = DO_NAME_HACK,
+                        columnName = paramName,
                         readMethodName = readMethodName,
                         writeMethodName = writeMethodName,
                         encoder = encoder,
@@ -535,9 +541,10 @@ object KotlinTypeInference {
 }
 
 internal open class DirtyProductEncoderField(
-    private val name: String, // the name used for the column
+    private val columnName: String, // the name used for the column
     private val readMethodName: String, // the name of the method used to read the value
     private val writeMethodName: String?,
+    private val doNameHack: Boolean,
     encoder: AgnosticEncoder<*>,
     nullable: Boolean,
     metadata: Metadata = Metadata.empty(),
@@ -554,12 +561,15 @@ internal open class DirtyProductEncoderField(
 
     /**
      * This dirty trick only works because in [SerializerBuildHelper], [ProductEncoder]
-     * creates an [Invoke] using [name] first and then calls [name] again to retrieve
+     * creates an [Invoke] using [columnName] first and then calls [columnName] again to retrieve
      * the name of the column. This way, we can alternate between the two names.
      */
     override fun name(): String =
-        if (i++ % 2 == 0) readMethodName
-        else name
+        when (doNameHack) {
+            true -> if (i++ % 2 == 0) readMethodName else columnName
+            false -> readMethodName
+        }
+
 
     override fun canEqual(that: Any?): Boolean = that is AgnosticEncoders.EncoderField
 

From 0d061b65754d9fc80e4a6a66bfabe4316b1677a3 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 17:14:30 +0100
Subject: [PATCH 07/38] added tests and fixed name hack

---
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 19 +++++---
 .../kotlinx/spark/api/EncodingTest.kt         | 45 ++++++++++++++++---
 2 files changed, 52 insertions(+), 12 deletions(-)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 987e83ac..56230dff 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -112,7 +112,7 @@ object KotlinTypeInference {
     // TODO this hack is a WIP and can give errors
     // TODO it's to make data classes get column names like "age" with functions like "getAge"
     // TODO instead of column names like "getAge"
-    var DO_NAME_HACK = false
+    var DO_NAME_HACK = true
 
     /**
      * @param kClass the class for which to infer the encoder.
@@ -151,6 +151,7 @@ object KotlinTypeInference {
             currentType = kType,
             seenTypeSet = emptySet(),
             typeVariables = emptyMap(),
+            isTopLevel = true,
         ) as AgnosticEncoder<T>
 
 
@@ -217,6 +218,7 @@ object KotlinTypeInference {
 
         // how the generic types of the data class (like T, S) are filled in for this instance of the class
         typeVariables: Map<String, KType>,
+        isTopLevel: Boolean = false,
     ): AgnosticEncoder<*> {
         val kClass =
             currentType.classifier as? KClass<*> ?: throw IllegalArgumentException("Unsupported type $currentType")
@@ -488,6 +490,7 @@ object KotlinTypeInference {
 
                     DirtyProductEncoderField(
                         doNameHack = DO_NAME_HACK,
+                        isTopLevel = isTopLevel,
                         columnName = paramName,
                         readMethodName = readMethodName,
                         writeMethodName = writeMethodName,
@@ -545,6 +548,7 @@ internal open class DirtyProductEncoderField(
     private val readMethodName: String, // the name of the method used to read the value
     private val writeMethodName: String?,
     private val doNameHack: Boolean,
+    private val isTopLevel: Boolean,
     encoder: AgnosticEncoder<*>,
     nullable: Boolean,
     metadata: Metadata = Metadata.empty(),
@@ -557,20 +561,21 @@ internal open class DirtyProductEncoderField(
     /* writeMethod = */ writeMethodName.toOption(),
 ), Serializable {
 
-    private var i = 0
+    private var isFirstNameCall = true
 
     /**
      * This dirty trick only works because in [SerializerBuildHelper], [ProductEncoder]
-     * creates an [Invoke] using [columnName] first and then calls [columnName] again to retrieve
+     * creates an [Invoke] using [name] first and then calls [name] again to retrieve
      * the name of the column. This way, we can alternate between the two names.
      */
     override fun name(): String =
-        when (doNameHack) {
-            true -> if (i++ % 2 == 0) readMethodName else columnName
-            false -> readMethodName
+        if (doNameHack && !isFirstNameCall) {
+            columnName
+        } else {
+            isFirstNameCall = false
+            readMethodName
         }
 
-
     override fun canEqual(that: Any?): Boolean = that is AgnosticEncoders.EncoderField
 
     override fun productElement(n: Int): Any =
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
index 83f74ea1..151bca14 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
@@ -22,6 +22,8 @@ package org.jetbrains.kotlinx.spark.api
 import ch.tutteli.atrium.api.fluent.en_GB.*
 import ch.tutteli.atrium.api.verbs.expect
 import io.kotest.core.spec.style.ShouldSpec
+import io.kotest.matchers.collections.shouldContain
+import io.kotest.matchers.collections.shouldContainExactly
 import io.kotest.matchers.shouldBe
 import org.apache.spark.sql.Dataset
 import org.apache.spark.sql.types.Decimal
@@ -208,6 +210,39 @@ class EncodingTest : ShouldSpec({
     context("schema") {
         withSpark(props = mapOf("spark.sql.codegen.comments" to true)) {
 
+            context("Give proper names to columns of data classe") {
+                val old = KotlinTypeInference.DO_NAME_HACK
+                KotlinTypeInference.DO_NAME_HACK = true
+
+                should("Be able to serialize pairs") {
+                    val pairs = listOf(
+                        1 to "1",
+                        2 to "2",
+                        3 to "3",
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.collectAsList() shouldBe pairs
+                    dataset.columns().shouldContainExactly("first", "second")
+                }
+
+                should("Be able to serialize pairs of pairs") {
+                    val pairs = listOf(
+                        1 to (1 to "1"),
+                        2 to (2 to "2"),
+                        3 to (3 to "3"),
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.columns().shouldContainExactly("first", "second")
+                    dataset.select("second.*").columns().shouldContainExactly("first", "second")
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                KotlinTypeInference.DO_NAME_HACK = old
+            }
+
             should("handle Scala Case class datasets") {
                 val caseClasses = listOf(
                     tupleOf(1, "1"),
@@ -253,14 +288,14 @@ class EncodingTest : ShouldSpec({
             }
 
 
-            xshould("handle Scala Option datasets") {
+            should("handle Scala Option datasets") {
                 val caseClasses = listOf(Some(1), Some(2), Some(3))
                 val dataset = caseClasses.toDS()
                 dataset.show()
                 dataset.collectAsList() shouldBe caseClasses
             }
 
-            xshould("handle Scala Option Option datasets") {
+            should("handle Scala Option Option datasets") {
                 val caseClasses = listOf(
                     Some(Some(1)),
                     Some(Some(2)),
@@ -270,7 +305,7 @@ class EncodingTest : ShouldSpec({
                 dataset.collectAsList() shouldBe caseClasses
             }
 
-            xshould("handle data class Scala Option datasets") {
+            should("handle data class Scala Option datasets") {
                 val caseClasses = listOf(
                     Some(1) to Some(2),
                     Some(3) to Some(4),
@@ -280,7 +315,7 @@ class EncodingTest : ShouldSpec({
                 dataset.collectAsList() shouldBe caseClasses
             }
 
-            xshould("handle Scala Option data class datasets") {
+            should("handle Scala Option data class datasets") {
                 val caseClasses = listOf(
                     Some(1 to 2),
                     Some(3 to 4),
@@ -501,7 +536,7 @@ class EncodingTest : ShouldSpec({
                 expect(result).toContain.inOrder.only.values(5.1 to 6)
             }
 
-            should("!handle primitive arrays") {
+            should("handle boxed arrays") {
                 val result = listOf(arrayOf(1, 2, 3, 4))
                     .toDS()
                     .map { it.map { ai -> ai + 1 } }

From 0c8f4b1aebf7b2d7bbda9ba022b19babcb11cdf9 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 17 Mar 2024 18:16:54 +0100
Subject: [PATCH 08/38] Map support

---
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 20 +++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 56230dff..a123c0c0 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -463,8 +463,24 @@ object KotlinTypeInference {
                 )
             }
 
-            currentType.isSubtypeOf<Map<*, *>?>() -> TODO()
-            currentType.isSubtypeOf<scala.collection.Map<*, *>?>() -> TODO()
+            currentType.isSubtypeOf<Map<*, *>?>() || currentType.isSubtypeOf<scala.collection.Map<*, *>?>() -> {
+                val keyEncoder = encoderFor(
+                    currentType = tArguments[0].type!!,
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                val valueEncoder = encoderFor(
+                    currentType = tArguments[1].type!!,
+                    seenTypeSet = seenTypeSet,
+                    typeVariables = typeVariables,
+                )
+                AgnosticEncoders.MapEncoder(
+                    /* clsTag = */ ClassTag.apply<Map<*, *>>(jClass),
+                    /* keyEncoder = */ keyEncoder,
+                    /* valueEncoder = */ valueEncoder,
+                    /* valueContainsNull = */ tArguments[1].type!!.isMarkedNullable,
+                )
+            }
 
             kClass.isData -> {
                 if (currentType in seenTypeSet) throw IllegalStateException("Circular reference detected for type $currentType")

From 9149607484c91d92484daa9d49a57ca6c4bacf15 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 18 Mar 2024 13:11:43 +0100
Subject: [PATCH 09/38] disable name hack by default again, added JCP case for
 auto-applying the expression encoder without spark-connect

---
 buildSrc/src/main/kotlin/Versions.kt          |   7 +-
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |  49 +++---
 .../kotlinx/spark/api/EncodingTest.kt         | 141 +++++++++++++++++-
 3 files changed, 173 insertions(+), 24 deletions(-)

diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index 02de97c6..dd10547a 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -9,6 +9,10 @@ object Versions {
     inline val scala get() = System.getProperty("scala") as String
     inline val sparkMinor get() = spark.substringBeforeLast('.')
     inline val scalaCompat get() = scala.substringBeforeLast('.')
+
+    // TODO
+    const val sparkConnect = false
+
     const val jupyter = "0.12.0-32-1"
 
     const val kotest = "5.5.4"
@@ -25,7 +29,7 @@ object Versions {
     const val jacksonDatabind = "2.13.4.2"
     const val kotlinxDateTime = "0.6.0-RC.2"
 
-    inline val versionMap
+    inline val versionMap: Map<String, String>
         get() = mapOf(
             "kotlin" to kotlin,
             "scala" to scala,
@@ -33,6 +37,7 @@ object Versions {
             "spark" to spark,
             "sparkMinor" to sparkMinor,
             "version" to project,
+            "sparkConnect" to sparkConnect.toString(),
         )
 
 }
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index a123c0c0..dd28c18f 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -36,7 +36,6 @@ import org.apache.spark.sql.catalyst.SerializerBuildHelper
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.ProductEncoder
-import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.encoders.OuterScopes
 import org.apache.spark.sql.catalyst.expressions.objects.Invoke
 import org.apache.spark.sql.types.DataType
@@ -69,14 +68,15 @@ fun <T : Any> kotlinEncoderFor(
     arguments: List<KTypeProjection> = emptyList(),
     nullable: Boolean = false,
     annotations: List<Annotation> = emptyList()
-): Encoder<T> = ExpressionEncoder.apply(
-    KotlinTypeInference.encoderFor(
-        kClass = kClass,
-        arguments = arguments,
-        nullable = nullable,
-        annotations = annotations,
+): Encoder<T> =
+    applyEncoder(
+        KotlinTypeInference.encoderFor(
+            kClass = kClass,
+            arguments = arguments,
+            nullable = nullable,
+            annotations = annotations,
+        )
     )
-)
 
 /**
  * Main method of API, which gives you seamless integration with Spark:
@@ -88,15 +88,26 @@ fun <T : Any> kotlinEncoderFor(
  * @return generated encoder
  */
 inline fun <reified T> kotlinEncoderFor(): Encoder<T> =
-    ExpressionEncoder.apply(
-        KotlinTypeInference.encoderFor<T>()
+    kotlinEncoderFor(
+        typeOf<T>()
     )
 
 fun <T> kotlinEncoderFor(kType: KType): Encoder<T> =
-    ExpressionEncoder.apply(
+    applyEncoder(
         KotlinTypeInference.encoderFor(kType)
     )
 
+/**
+ * For spark-connect, no ExpressionEncoder is needed, so we can just return the AgnosticEncoder.
+ */
+private fun <T> applyEncoder(agnosticEncoder: AgnosticEncoder<T>): Encoder<T> {
+    //#if sparkConnect == false
+    return org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.apply(agnosticEncoder)
+    //#else
+    //$return agnosticEncoder
+    //#endif
+}
+
 
 @Deprecated("Use kotlinEncoderFor instead", ReplaceWith("kotlinEncoderFor<T>()"))
 inline fun <reified T> encoder(): Encoder<T> = kotlinEncoderFor(typeOf<T>())
@@ -112,7 +123,7 @@ object KotlinTypeInference {
     // TODO this hack is a WIP and can give errors
     // TODO it's to make data classes get column names like "age" with functions like "getAge"
     // TODO instead of column names like "getAge"
-    var DO_NAME_HACK = true
+    var DO_NAME_HACK = false
 
     /**
      * @param kClass the class for which to infer the encoder.
@@ -151,7 +162,6 @@ object KotlinTypeInference {
             currentType = kType,
             seenTypeSet = emptySet(),
             typeVariables = emptyMap(),
-            isTopLevel = true,
         ) as AgnosticEncoder<T>
 
 
@@ -218,7 +228,6 @@ object KotlinTypeInference {
 
         // how the generic types of the data class (like T, S) are filled in for this instance of the class
         typeVariables: Map<String, KType>,
-        isTopLevel: Boolean = false,
     ): AgnosticEncoder<*> {
         val kClass =
             currentType.classifier as? KClass<*> ?: throw IllegalArgumentException("Unsupported type $currentType")
@@ -328,7 +337,7 @@ object KotlinTypeInference {
                 AgnosticEncoders.UDTEncoder(udt, udt.javaClass)
             }
 
-            currentType.isSubtypeOf<scala.Option<*>>() -> {
+            currentType.isSubtypeOf<scala.Option<*>?>() -> {
                 val elementEncoder = encoderFor(
                     currentType = tArguments.first().type!!,
                     seenTypeSet = seenTypeSet,
@@ -506,7 +515,6 @@ object KotlinTypeInference {
 
                     DirtyProductEncoderField(
                         doNameHack = DO_NAME_HACK,
-                        isTopLevel = isTopLevel,
                         columnName = paramName,
                         readMethodName = readMethodName,
                         writeMethodName = writeMethodName,
@@ -525,7 +533,7 @@ object KotlinTypeInference {
                 if (currentType in seenTypeSet) throw IllegalStateException("Circular reference detected for type $currentType")
                 val constructorParams = currentType.getScalaConstructorParameters(typeVariables, kClass)
 
-                val params: List<AgnosticEncoders.EncoderField> = constructorParams.map { (paramName, paramType) ->
+                val params = constructorParams.map { (paramName, paramType) ->
                     val encoder = encoderFor(
                         currentType = paramType,
                         seenTypeSet = seenTypeSet + currentType,
@@ -564,7 +572,6 @@ internal open class DirtyProductEncoderField(
     private val readMethodName: String, // the name of the method used to read the value
     private val writeMethodName: String?,
     private val doNameHack: Boolean,
-    private val isTopLevel: Boolean,
     encoder: AgnosticEncoder<*>,
     nullable: Boolean,
     metadata: Metadata = Metadata.empty(),
@@ -577,7 +584,7 @@ internal open class DirtyProductEncoderField(
     /* writeMethod = */ writeMethodName.toOption(),
 ), Serializable {
 
-    private var isFirstNameCall = true
+    private var noNameCalls = 0
 
     /**
      * This dirty trick only works because in [SerializerBuildHelper], [ProductEncoder]
@@ -585,10 +592,10 @@ internal open class DirtyProductEncoderField(
      * the name of the column. This way, we can alternate between the two names.
      */
     override fun name(): String =
-        if (doNameHack && !isFirstNameCall) {
+        if (doNameHack && noNameCalls > 0) {
             columnName
         } else {
-            isFirstNameCall = false
+            noNameCalls++
             readMethodName
         }
 
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
index 151bca14..ad390a1a 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
@@ -22,9 +22,9 @@ package org.jetbrains.kotlinx.spark.api
 import ch.tutteli.atrium.api.fluent.en_GB.*
 import ch.tutteli.atrium.api.verbs.expect
 import io.kotest.core.spec.style.ShouldSpec
-import io.kotest.matchers.collections.shouldContain
 import io.kotest.matchers.collections.shouldContainExactly
 import io.kotest.matchers.shouldBe
+import io.kotest.matchers.string.shouldContain
 import org.apache.spark.sql.Dataset
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.unsafe.types.CalendarInterval
@@ -210,7 +210,7 @@ class EncodingTest : ShouldSpec({
     context("schema") {
         withSpark(props = mapOf("spark.sql.codegen.comments" to true)) {
 
-            context("Give proper names to columns of data classe") {
+            context("Give proper names to columns of data classes") {
                 val old = KotlinTypeInference.DO_NAME_HACK
                 KotlinTypeInference.DO_NAME_HACK = true
 
@@ -240,6 +240,142 @@ class EncodingTest : ShouldSpec({
                     dataset.collectAsList() shouldBe pairs
                 }
 
+                should("Be able to serialize pairs of pairs of pairs") {
+                    val pairs = listOf(
+                        1 to (1 to (1 to "1")),
+                        2 to (2 to (2 to "2")),
+                        3 to (3 to (3 to "3")),
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.columns().shouldContainExactly("first", "second")
+                    dataset.select("second.*").columns().shouldContainExactly("first", "second")
+                    dataset.select("second.second.*").columns().shouldContainExactly("first", "second")
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                should("Be able to serialize lists of pairs") {
+                    val pairs = listOf(
+                        listOf(1 to "1", 2 to "2"),
+                        listOf(3 to "3", 4 to "4"),
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.schema().toString().let {
+                        it shouldContain "first"
+                        it shouldContain "second"
+                    }
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                should("Be able to serialize lists of lists of pairs") {
+                    val pairs = listOf(
+                        listOf(
+                            listOf(1 to "1", 2 to "2"),
+                            listOf(3 to "3", 4 to "4")
+                        )
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.schema().toString().let {
+                        it shouldContain "first"
+                        it shouldContain "second"
+                    }
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                should("Be able to serialize lists of lists of lists of pairs") {
+                    val pairs = listOf(
+                        listOf(
+                            listOf(
+                                listOf(1 to "1", 2 to "2"),
+                                listOf(3 to "3", 4 to "4"),
+                            )
+                        )
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.schema().toString().let {
+                        it shouldContain "first"
+                        it shouldContain "second"
+                    }
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                should("Be able to serialize lists of lists of lists of pairs of pairs") {
+                    val pairs = listOf(
+                        listOf(
+                            listOf(
+                                listOf(1 to ("1" to 3.0), 2 to ("2" to 3.0)),
+                                listOf(3 to ("3" to 3.0), 4 to ("4" to 3.0)),
+                            )
+                        )
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.schema().toString().let {
+                        it shouldContain "first"
+                        it shouldContain "second"
+                    }
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                should("Be able to serialize arrays of pairs") {
+                    val pairs = arrayOf(
+                        arrayOf(1 to "1", 2 to "2"),
+                        arrayOf(3 to "3", 4 to "4"),
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.schema().toString().let {
+                        it shouldContain "first"
+                        it shouldContain "second"
+                    }
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                should("Be able to serialize arrays of arrays of pairs") {
+                    val pairs = arrayOf(
+                        arrayOf(
+                            arrayOf(1 to "1", 2 to "2"),
+                            arrayOf(3 to "3", 4 to "4")
+                        )
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.schema().toString().let {
+                        it shouldContain "first"
+                        it shouldContain "second"
+                    }
+                    dataset.collectAsList() shouldBe pairs
+                }
+
+                should("Be able to serialize arrays of arrays of arrays of pairs") {
+                    val pairs = arrayOf(
+                        arrayOf(
+                            arrayOf(
+                                arrayOf(1 to "1", 2 to "2"),
+                                arrayOf(3 to "3", 4 to "4"),
+                            )
+                        )
+                    )
+                    val dataset = pairs.toDS()
+                    dataset.show()
+                    dataset.printSchema()
+                    dataset.schema().toString().let {
+                        it shouldContain "first"
+                        it shouldContain "second"
+                    }
+                    dataset.collectAsList() shouldBe pairs
+                }
+
                 KotlinTypeInference.DO_NAME_HACK = old
             }
 
@@ -351,6 +487,7 @@ class EncodingTest : ShouldSpec({
                     listOf(SomeClass(intArrayOf(1, 2, 3), 4)),
                     listOf(SomeClass(intArrayOf(3, 2, 1), 0)),
                 )
+                dataset.printSchema()
 
                 val (first, second) = dataset.collectAsList()
 

From 4364022db04ebe74d840dcfa02e76f6f0cba98a4 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 18 Mar 2024 15:32:56 +0100
Subject: [PATCH 10/38] udt fix

---
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 20 +++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index dd28c18f..f557224b 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -298,30 +298,30 @@ object KotlinTypeInference {
             currentType.isSubtypeOf<java.math.BigInteger?>() -> AgnosticEncoders.`JavaBigIntEncoder$`.`MODULE$`
             currentType.isSubtypeOf<CalendarInterval?>() -> AgnosticEncoders.`CalendarIntervalEncoder$`.`MODULE$`
             currentType.isSubtypeOf<java.time.LocalDate?>() -> AgnosticEncoders.STRICT_LOCAL_DATE_ENCODER()
-            currentType.isSubtypeOf<kotlinx.datetime.LocalDate?>() -> TODO("User java.time.LocalDate for now.")
+            currentType.isSubtypeOf<kotlinx.datetime.LocalDate?>() -> TODO("User java.time.LocalDate for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.sql.Date?>() -> AgnosticEncoders.STRICT_DATE_ENCODER()
             currentType.isSubtypeOf<java.time.Instant?>() -> AgnosticEncoders.STRICT_INSTANT_ENCODER()
-            currentType.isSubtypeOf<kotlinx.datetime.Instant?>() -> TODO("Use java.time.Instant for now.")
-            currentType.isSubtypeOf<kotlin.time.TimeMark?>() -> TODO("Use java.time.Instant for now.")
+            currentType.isSubtypeOf<kotlinx.datetime.Instant?>() -> TODO("Use java.time.Instant for now. We'll create a UDT for this.")
+            currentType.isSubtypeOf<kotlin.time.TimeMark?>() -> TODO("Use java.time.Instant for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.sql.Timestamp?>() -> AgnosticEncoders.STRICT_TIMESTAMP_ENCODER()
             currentType.isSubtypeOf<java.time.LocalDateTime?>() -> AgnosticEncoders.`LocalDateTimeEncoder$`.`MODULE$`
-            currentType.isSubtypeOf<kotlinx.datetime.LocalDateTime?>() -> TODO("Use java.time.LocalDateTime for now.")
+            currentType.isSubtypeOf<kotlinx.datetime.LocalDateTime?>() -> TODO("Use java.time.LocalDateTime for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.time.Duration?>() -> AgnosticEncoders.`DayTimeIntervalEncoder$`.`MODULE$`
-            currentType.isSubtypeOf<kotlin.time.Duration?>() -> TODO("Use java.time.Duration for now.")
+            currentType.isSubtypeOf<kotlin.time.Duration?>() -> TODO("Use java.time.Duration for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.time.Period?>() -> AgnosticEncoders.`YearMonthIntervalEncoder$`.`MODULE$`
-            currentType.isSubtypeOf<kotlinx.datetime.DateTimePeriod?>() -> TODO("Use java.time.Period for now.")
-            currentType.isSubtypeOf<kotlinx.datetime.DatePeriod?>() -> TODO("Use java.time.Period for now.")
+            currentType.isSubtypeOf<kotlinx.datetime.DateTimePeriod?>() -> TODO("Use java.time.Period for now. We'll create a UDT for this.")
+            currentType.isSubtypeOf<kotlinx.datetime.DatePeriod?>() -> TODO("Use java.time.Period for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<Row?>() -> AgnosticEncoders.`UnboundRowEncoder$`.`MODULE$`
 
             // enums
-            kClass.isSubclassOf(Enum::class) -> AgnosticEncoders.JavaEnumEncoder(ClassTag.apply<Nothing>(jClass))
+            kClass.isSubclassOf(Enum::class) -> AgnosticEncoders.JavaEnumEncoder(ClassTag.apply<Any?>(jClass))
 
             // TODO test
             kClass.isSubclassOf(scala.Enumeration.Value::class) ->
-                AgnosticEncoders.ScalaEnumEncoder(jClass.superclass, ClassTag.apply<Nothing>(jClass))
+                AgnosticEncoders.ScalaEnumEncoder(jClass.superclass, ClassTag.apply<Any?>(jClass))
 
             // udts
-            currentType.hasAnnotation<SQLUserDefinedType>() -> {
+            kClass.hasAnnotation<SQLUserDefinedType>() -> {
                 val annotation = jClass.getAnnotation(SQLUserDefinedType::class.java)!!
                 val udtClass = annotation.udt
                 val udt = udtClass.primaryConstructor!!.call()

From 2c875ff38cb71366fad3388bc4e823c0013f9b55 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Wed, 20 Mar 2024 16:15:03 +0100
Subject: [PATCH 11/38] enabled core as scala-helpers with VarargUnwrapper.
 Removed name hack in favor of upcoming IR compiler plugin

---
 buildSrc/src/main/kotlin/Projects.kt          |    6 +-
 .../apache/spark/sql/KotlinReflection.scala   | 1497 --------
 .../org/apache/spark/sql/KotlinWrappers.scala |  229 --
 .../sql/catalyst/CatalystTypeConverters.scala |  493 ---
 kotlin-spark-api/build.gradle.kts             |    5 +-
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |   71 +-
 .../spark/api/UserDefinedFunctionVararg.kt    | 3380 ++++++++---------
 .../kotlinx/spark/api/EncodingTest.kt         |    4 -
 .../jetbrains/kotlinx/spark/api/UDFTest.kt    | 1222 +++---
 {core => scala-helpers}/build.gradle.kts      |    0
 .../spark/extensions/KSparkExtensions.scala   |    0
 .../spark/extensions/VarargUnwrapper.scala    |    0
 settings.gradle.kts                           |    4 +-
 13 files changed, 2319 insertions(+), 4592 deletions(-)
 delete mode 100644 core/src/main/scala/org/apache/spark/sql/KotlinReflection.scala
 delete mode 100644 core/src/main/scala/org/apache/spark/sql/KotlinWrappers.scala
 delete mode 100644 core/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala
 rename {core => scala-helpers}/build.gradle.kts (100%)
 rename {core => scala-helpers}/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala (100%)
 rename {core => scala-helpers}/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala (100%)

diff --git a/buildSrc/src/main/kotlin/Projects.kt b/buildSrc/src/main/kotlin/Projects.kt
index 3febd570..a84f4d80 100644
--- a/buildSrc/src/main/kotlin/Projects.kt
+++ b/buildSrc/src/main/kotlin/Projects.kt
@@ -1,8 +1,6 @@
 @file:Suppress("NOTHING_TO_INLINE")
 
 import org.gradle.api.Project
-import org.gradle.api.artifacts.dsl.DependencyHandler
-import org.gradle.kotlin.dsl.support.delegates.ProjectDelegate
 
 object Projects {
 
@@ -17,8 +15,8 @@ object Projects {
     inline val Project.kotlinSparkApi
         get() = searchProject("kotlin-spark-api")
 
-    inline val Project.core
-        get() = searchProject("core")
+    inline val Project.scalaHelpers
+        get() = searchProject("scala-helpers")
 
     inline val Project.examples
         get() = searchProject("examples")
diff --git a/core/src/main/scala/org/apache/spark/sql/KotlinReflection.scala b/core/src/main/scala/org/apache/spark/sql/KotlinReflection.scala
deleted file mode 100644
index 4916ceb7..00000000
--- a/core/src/main/scala/org/apache/spark/sql/KotlinReflection.scala
+++ /dev/null
@@ -1,1497 +0,0 @@
-/*-
- * =LICENSE=
- * Kotlin Spark API: Examples
- * ----------
- * Copyright (C) 2019 - 2020 JetBrains
- * ----------
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =LICENSEEND=
- */
-
-package org.apache.spark.sql
-
-import org.apache.commons.lang3.reflect.ConstructorUtils
-import org.apache.spark.internal.Logging
-import org.apache.spark.sql.catalyst.DeserializerBuildHelper._
-import org.apache.spark.sql.catalyst.ScalaReflection.{Schema, dataTypeFor, getClassFromType, isSubtype, javaBoxedType, localTypeOf, mirror, universe}
-import org.apache.spark.sql.catalyst.SerializerBuildHelper._
-import org.apache.spark.sql.catalyst.analysis.GetColumnByOrdinal
-import org.apache.spark.sql.catalyst.expressions.objects._
-import org.apache.spark.sql.catalyst.expressions.{Expression, _}
-import org.apache.spark.sql.catalyst.util.ArrayBasedMapData
-import org.apache.spark.sql.catalyst.{DefinedByConstructorParams, InternalRow, ScalaReflection, WalkedTypePath}
-import org.apache.spark.sql.types._
-import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
-import org.apache.spark.util.Utils
-
-import java.beans.{Introspector, PropertyDescriptor}
-import java.lang.Exception
-import java.lang.reflect.Method
-
-
-/**
- * A helper trait to create [[org.apache.spark.sql.catalyst.encoders.ExpressionEncoder]]s
- * for classes whose fields are entirely defined by constructor params but should not be
- * case classes.
- */
-//trait DefinedByConstructorParams
-
-/**
- * KotlinReflection is heavily inspired by ScalaReflection and even extends it just to add several methods
- */
-//noinspection RedundantBlock
-object KotlinReflection extends KotlinReflection {
-    /**
-     * Returns the Spark SQL DataType for a given java class.  Where this is not an exact mapping
-     * to a native type, an ObjectType is returned.
-     *
-     * Unlike `inferDataType`, this function doesn't do any massaging of types into the Spark SQL type
-     * system.  As a result, ObjectType will be returned for things like boxed Integers.
-     */
-    private def inferExternalType(cls: Class[_]): DataType = cls match {
-        case c if c == java.lang.Boolean.TYPE => BooleanType
-        case c if c == java.lang.Byte.TYPE => ByteType
-        case c if c == java.lang.Short.TYPE => ShortType
-        case c if c == java.lang.Integer.TYPE => IntegerType
-        case c if c == java.lang.Long.TYPE => LongType
-        case c if c == java.lang.Float.TYPE => FloatType
-        case c if c == java.lang.Double.TYPE => DoubleType
-        case c if c == classOf[Array[Byte]] => BinaryType
-        case c if c == classOf[Decimal] => DecimalType.SYSTEM_DEFAULT
-        case c if c == classOf[CalendarInterval] => CalendarIntervalType
-        case _ => ObjectType(cls)
-    }
-
-    val universe: scala.reflect.runtime.universe.type = scala.reflect.runtime.universe
-
-    // Since we are creating a runtime mirror using the class loader of current thread,
-    // we need to use def at here. So, every time we call mirror, it is using the
-    // class loader of the current thread.
-    override def mirror: universe.Mirror = {
-        universe.runtimeMirror(Thread.currentThread().getContextClassLoader)
-    }
-
-    import universe._
-
-    // The Predef.Map is scala.collection.immutable.Map.
-    // Since the map values can be mutable, we explicitly import scala.collection.Map at here.
-    import scala.collection.Map
-
-
-    def isSubtype(t: universe.Type, t2: universe.Type): Boolean = t <:< t2
-
-    /**
-     * Synchronize to prevent concurrent usage of `<:<` operator.
-     * This operator is not thread safe in any current version of scala; i.e.
-     * (2.11.12, 2.12.10, 2.13.0-M5).
-     *
-     * See https://github.com/scala/bug/issues/10766
-     */
-    /*
-      private[catalyst] def isSubtype(tpe1: `Type`, tpe2: `Type`): Boolean = {
-        ScalaReflection.ScalaSubtypeLock.synchronized {
-          tpe1 <:< tpe2
-        }
-      }
-    */
-
-    private def dataTypeFor(tpe: `Type`): DataType = cleanUpReflectionObjects {
-        tpe.dealias match {
-            case t if isSubtype(t, definitions.NullTpe) => NullType
-            case t if isSubtype(t, definitions.IntTpe) => IntegerType
-            case t if isSubtype(t, definitions.LongTpe) => LongType
-            case t if isSubtype(t, definitions.DoubleTpe) => DoubleType
-            case t if isSubtype(t, definitions.FloatTpe) => FloatType
-            case t if isSubtype(t, definitions.ShortTpe) => ShortType
-            case t if isSubtype(t, definitions.ByteTpe) => ByteType
-            case t if isSubtype(t, definitions.BooleanTpe) => BooleanType
-            case t if isSubtype(t, localTypeOf[Array[Byte]]) => BinaryType
-            case t if isSubtype(t, localTypeOf[CalendarInterval]) => CalendarIntervalType
-            case t if isSubtype(t, localTypeOf[Decimal]) => DecimalType.SYSTEM_DEFAULT
-            case _ => {
-                val className = getClassNameFromType(tpe)
-                className match {
-                    case "scala.Array" => {
-                        val TypeRef(_, _, Seq(elementType)) = tpe.dealias
-                        arrayClassFor(elementType)
-                    }
-                    case _ => {
-                        val clazz = getClassFromType(tpe)
-                        ObjectType(clazz)
-                    }
-                }
-            }
-        }
-    }
-
-    /**
-     * Given a type `T` this function constructs `ObjectType` that holds a class of type
-     * `Array[T]`.
-     *
-     * Special handling is performed for primitive types to map them back to their raw
-     * JVM form instead of the Scala Array that handles auto boxing.
-     */
-    private def arrayClassFor(tpe: `Type`): ObjectType = cleanUpReflectionObjects {
-        val cls = tpe.dealias match {
-            case t if isSubtype(t, definitions.IntTpe) => classOf[Array[Int]]
-            case t if isSubtype(t, definitions.LongTpe) => classOf[Array[Long]]
-            case t if isSubtype(t, definitions.DoubleTpe) => classOf[Array[Double]]
-            case t if isSubtype(t, definitions.FloatTpe) => classOf[Array[Float]]
-            case t if isSubtype(t, definitions.ShortTpe) => classOf[Array[Short]]
-            case t if isSubtype(t, definitions.ByteTpe) => classOf[Array[Byte]]
-            case t if isSubtype(t, definitions.BooleanTpe) => classOf[Array[Boolean]]
-            case t if isSubtype(t, localTypeOf[Array[Byte]]) => classOf[Array[Array[Byte]]]
-            case t if isSubtype(t, localTypeOf[CalendarInterval]) => classOf[Array[CalendarInterval]]
-            case t if isSubtype(t, localTypeOf[Decimal]) => classOf[Array[Decimal]]
-            case other => {
-                // There is probably a better way to do this, but I couldn't find it...
-                val elementType = dataTypeFor(other).asInstanceOf[ObjectType].cls
-                java.lang.reflect.Array.newInstance(elementType, 0).getClass
-            }
-
-        }
-        ObjectType(cls)
-    }
-
-    /**
-     * Returns true if the value of this data type is same between internal and external.
-     */
-    def isNativeType(dt: DataType): Boolean = dt match {
-        case NullType | BooleanType | ByteType | ShortType | IntegerType | LongType |
-             FloatType | DoubleType | BinaryType | CalendarIntervalType => {
-            true
-        }
-        case _ => false
-    }
-
-    private def baseType(tpe: `Type`): `Type` = {
-        tpe.dealias match {
-            case annotatedType: AnnotatedType => annotatedType.underlying
-            case other => other
-        }
-    }
-
-    /**
-     * Returns an expression that can be used to deserialize a Spark SQL representation to an object
-     * of type `T` with a compatible schema. The Spark SQL representation is located at ordinal 0 of
-     * a row, i.e., `GetColumnByOrdinal(0, _)`. Nested classes will have their fields accessed using
-     * `UnresolvedExtractValue`.
-     *
-     * The returned expression is used by `ExpressionEncoder`. The encoder will resolve and bind this
-     * deserializer expression when using it.
-     */
-    def deserializerForType(tpe: `Type`): Expression = {
-        val clsName = getClassNameFromType(tpe)
-        val walkedTypePath = WalkedTypePath().recordRoot(clsName)
-        val Schema(dataType, nullable) = schemaFor(tpe)
-
-        // Assumes we are deserializing the first column of a row.
-        deserializerForWithNullSafetyAndUpcast(
-            GetColumnByOrdinal(0, dataType), dataType,
-            nullable = nullable, walkedTypePath,
-            (casted, typePath) => deserializerFor(tpe, casted, typePath)
-        )
-    }
-
-
-    /**
-     * Returns an expression that can be used to deserialize an input expression to an object of type
-     * `T` with a compatible schema.
-     *
-     * @param tpe            The `Type` of deserialized object.
-     * @param path           The expression which can be used to extract serialized value.
-     * @param walkedTypePath The paths from top to bottom to access current field when deserializing.
-     */
-    private def deserializerFor(
-                                   tpe: `Type`,
-                                   path: Expression,
-                                   walkedTypePath: WalkedTypePath,
-                                   predefinedDt: Option[DataTypeWithClass] = None
-                               ): Expression = cleanUpReflectionObjects {
-        baseType(tpe) match {
-
-            //<editor-fold desc="Description">
-            case t if (
-                try {
-                    !dataTypeFor(t).isInstanceOf[ObjectType]
-                } catch {
-                    case _: Throwable => false
-                }) && !predefinedDt.exists(_.isInstanceOf[ComplexWrapper]) => {
-                path
-            }
-
-            case t if isSubtype(t, localTypeOf[java.lang.Integer]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Integer])
-            }
-            case t if isSubtype(t, localTypeOf[Int]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Integer])
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Long]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Long])
-            }
-            case t if isSubtype(t, localTypeOf[Long]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Long])
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Double]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Double])
-            }
-            case t if isSubtype(t, localTypeOf[Double]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Double])
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Float]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Float])
-            }
-            case t if isSubtype(t, localTypeOf[Float]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Float])
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Short]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Short])
-            }
-            case t if isSubtype(t, localTypeOf[Short]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Short])
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Byte]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Byte])
-            }
-            case t if isSubtype(t, localTypeOf[Byte]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Byte])
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Boolean]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Boolean])
-            }
-            case t if isSubtype(t, localTypeOf[Boolean]) => {
-                createDeserializerForTypesSupportValueOf(path, classOf[java.lang.Boolean])
-            }
-            case t if isSubtype(t, localTypeOf[java.time.LocalDate]) => {
-                createDeserializerForLocalDate(path)
-            }
-            case t if isSubtype(t, localTypeOf[java.sql.Date]) => {
-                createDeserializerForSqlDate(path)
-            } //</editor-fold>
-
-            case t if isSubtype(t, localTypeOf[java.time.Instant]) => {
-                createDeserializerForInstant(path)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Enum[_]]) => {
-                createDeserializerForTypesSupportValueOf(
-                    Invoke(path, "toString", ObjectType(classOf[String]), returnNullable = false),
-                    getClassFromType(t),
-                )
-            }
-            case t if isSubtype(t, localTypeOf[java.sql.Timestamp]) => {
-                createDeserializerForSqlTimestamp(path)
-            }
-            case t if isSubtype(t, localTypeOf[java.time.LocalDateTime]) => {
-                //#if sparkMinor >= 3.2
-                createDeserializerForLocalDateTime(path)
-                //#else
-                //$throw new IllegalArgumentException("TimestampNTZType is supported in spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Duration]) => {
-                //#if sparkMinor >= 3.2
-                createDeserializerForDuration(path)
-                //#else
-                //$throw new IllegalArgumentException("java.time.Duration is supported in spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Period]) => {
-                //#if sparkMinor >= 3.2
-                createDeserializerForPeriod(path)
-                //#else
-                //$throw new IllegalArgumentException("java.time.Period is supported in spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.String]) => {
-                createDeserializerForString(path, returnNullable = false)
-            }
-            case t if isSubtype(t, localTypeOf[java.math.BigDecimal]) => {
-                createDeserializerForJavaBigDecimal(path, returnNullable = false)
-            }
-            case t if isSubtype(t, localTypeOf[BigDecimal]) => {
-                createDeserializerForScalaBigDecimal(path, returnNullable = false)
-            }
-            case t if isSubtype(t, localTypeOf[java.math.BigInteger]) => {
-                createDeserializerForJavaBigInteger(path, returnNullable = false)
-            }
-            case t if isSubtype(t, localTypeOf[scala.math.BigInt]) => {
-                createDeserializerForScalaBigInt(path)
-            }
-
-            case t if isSubtype(t, localTypeOf[Array[_]]) => {
-                var TypeRef(_, _, Seq(elementType)) = t
-                if (predefinedDt.isDefined && !elementType.dealias.typeSymbol.isClass)
-                    elementType = getType(predefinedDt.get.asInstanceOf[KComplexTypeWrapper].dt.asInstanceOf[ArrayType]
-                        .elementType.asInstanceOf[DataTypeWithClass].cls
-                    )
-                val Schema(dataType, elementNullable) = predefinedDt.map { it =>
-                    val elementInfo = it.asInstanceOf[KComplexTypeWrapper].dt.asInstanceOf[ArrayType].elementType
-                        .asInstanceOf[DataTypeWithClass]
-                    Schema(elementInfo.dt, elementInfo.nullable)
-                }.getOrElse(schemaFor(elementType))
-                val className = getClassNameFromType(elementType)
-                val newTypePath = walkedTypePath.recordArray(className)
-
-                val mapFunction: Expression => Expression = element => {
-                    // upcast the array element to the data type the encoder expected.
-                    deserializerForWithNullSafetyAndUpcast(
-                        element,
-                        dataType,
-                        nullable = elementNullable,
-                        newTypePath,
-                        (casted, typePath) => deserializerFor(
-                            tpe = elementType,
-                            path = casted,
-                            walkedTypePath = typePath,
-                            predefinedDt = predefinedDt
-                                .map(_.asInstanceOf[KComplexTypeWrapper].dt.asInstanceOf[ArrayType].elementType)
-                                .filter(_.isInstanceOf[ComplexWrapper])
-                                .map(_.asInstanceOf[ComplexWrapper])
-                        )
-                    )
-                }
-
-                val arrayData = UnresolvedMapObjects(mapFunction, path)
-                val arrayCls = arrayClassFor(elementType)
-
-                val methodName = elementType match {
-                    case t if isSubtype(t, definitions.IntTpe) => "toIntArray"
-                    case t if isSubtype(t, definitions.LongTpe) => "toLongArray"
-                    case t if isSubtype(t, definitions.DoubleTpe) => "toDoubleArray"
-                    case t if isSubtype(t, definitions.FloatTpe) => "toFloatArray"
-                    case t if isSubtype(t, definitions.ShortTpe) => "toShortArray"
-                    case t if isSubtype(t, definitions.ByteTpe) => "toByteArray"
-                    case t if isSubtype(t, definitions.BooleanTpe) => "toBooleanArray"
-                    // non-primitive
-                    case _ => "array"
-                }
-                Invoke(arrayData, methodName, arrayCls, returnNullable = false)
-            }
-
-            // We serialize a `Set` to Catalyst array. When we deserialize a Catalyst array
-            // to a `Set`, if there are duplicated elements, the elements will be de-duplicated.
-
-            case t if isSubtype(t, localTypeOf[Map[_, _]]) => {
-                val TypeRef(_, _, Seq(keyType, valueType)) = t
-
-                val classNameForKey = getClassNameFromType(keyType)
-                val classNameForValue = getClassNameFromType(valueType)
-
-                val newTypePath = walkedTypePath.recordMap(classNameForKey, classNameForValue)
-
-                UnresolvedCatalystToExternalMap(
-                    path,
-                    p => deserializerFor(keyType, p, newTypePath),
-                    p => deserializerFor(valueType, p, newTypePath),
-                    mirror.runtimeClass(t.typeSymbol.asClass)
-                )
-            }
-
-            case t if isSubtype(t, localTypeOf[java.lang.Enum[_]]) => {
-                createDeserializerForTypesSupportValueOf(
-                    createDeserializerForString(path, returnNullable = false),
-                    Class.forName(t.toString),
-                )
-            }
-            case t if t.typeSymbol.annotations.exists(_.tree.tpe =:= typeOf[SQLUserDefinedType]) => {
-                val udt = getClassFromType(t).getAnnotation(classOf[SQLUserDefinedType]).udt().
-                    getConstructor().newInstance()
-                val obj = NewInstance(
-                    udt.userClass.getAnnotation(classOf[SQLUserDefinedType]).udt(),
-                    Nil,
-                    dataType = ObjectType(udt.userClass.getAnnotation(classOf[SQLUserDefinedType]).udt())
-                )
-                Invoke(obj, "deserialize", ObjectType(udt.userClass), path :: Nil)
-            }
-
-            case t if UDTRegistration.exists(getClassNameFromType(t)) => {
-                val udt = UDTRegistration.getUDTFor(getClassNameFromType(t)).get.getConstructor().
-                    newInstance().asInstanceOf[UserDefinedType[_]]
-                val obj = NewInstance(
-                    udt.getClass,
-                    Nil,
-                    dataType = ObjectType(udt.getClass)
-                )
-                Invoke(obj, "deserialize", ObjectType(udt.userClass), path :: Nil)
-            }
-
-            case _ if predefinedDt.isDefined => {
-                predefinedDt.get match {
-
-                    case wrapper: KDataTypeWrapper => {
-                        val structType = wrapper.dt
-                        val cls = wrapper.cls
-                        val arguments = structType
-                            .fields
-                            .map { field =>
-                                val dataType = field.dataType.asInstanceOf[DataTypeWithClass]
-                                val nullable = dataType.nullable
-                                val clsName = getClassNameFromType(getType(dataType.cls))
-                                val newTypePath = walkedTypePath.recordField(clsName, field.name)
-
-                                // For tuples, we based grab the inner fields by ordinal instead of name.
-                                val newPath = deserializerFor(
-                                    tpe = getType(dataType.cls),
-                                    path = addToPath(path, field.name, dataType.dt, newTypePath),
-                                    walkedTypePath = newTypePath,
-                                    predefinedDt = Some(dataType).filter(_.isInstanceOf[ComplexWrapper])
-                                )
-                                expressionWithNullSafety(
-                                    newPath,
-                                    nullable = nullable,
-                                    newTypePath
-                                )
-                            }
-                        val newInstance = NewInstance(cls, arguments, ObjectType(cls), propagateNull = false)
-
-                        org.apache.spark.sql.catalyst.expressions.If(
-                            IsNull(path),
-                            org.apache.spark.sql.catalyst.expressions.Literal.create(null, ObjectType(cls)),
-                            newInstance
-                        )
-                    }
-
-                    case t: ComplexWrapper => {
-
-                        t.dt match {
-                            case MapType(kt, vt, _) => {
-                                val Seq(keyType, valueType) = Seq(kt, vt).map(_.asInstanceOf[DataTypeWithClass].cls)
-                                    .map(getType(_))
-                                val Seq(keyDT, valueDT) = Seq(kt, vt).map(_.asInstanceOf[DataTypeWithClass])
-                                val classNameForKey = getClassNameFromType(keyType)
-                                val classNameForValue = getClassNameFromType(valueType)
-
-                                val newTypePath = walkedTypePath.recordMap(classNameForKey, classNameForValue)
-
-                                val keyData =
-                                    Invoke(
-                                        UnresolvedMapObjects(
-                                            p => deserializerFor(
-                                                keyType, p, newTypePath, Some(keyDT)
-                                                    .filter(_.isInstanceOf[ComplexWrapper])
-                                            ),
-                                            MapKeys(path)
-                                        ),
-                                        "array",
-                                        ObjectType(classOf[Array[Any]])
-                                    )
-
-                                val valueData =
-                                    Invoke(
-                                        UnresolvedMapObjects(
-                                            p => deserializerFor(
-                                                valueType, p, newTypePath, Some(valueDT)
-                                                    .filter(_.isInstanceOf[ComplexWrapper])
-                                            ),
-                                            MapValues(path)
-                                        ),
-                                        "array",
-                                        ObjectType(classOf[Array[Any]])
-                                    )
-
-                                StaticInvoke(
-                                    ArrayBasedMapData.getClass,
-                                    ObjectType(classOf[java.util.Map[_, _]]),
-                                    "toJavaMap",
-                                    keyData :: valueData :: Nil,
-                                    returnNullable = false
-                                )
-                            }
-
-                            case ArrayType(elementType, containsNull) => {
-                                val dataTypeWithClass = elementType.asInstanceOf[DataTypeWithClass]
-                                val mapFunction: Expression => Expression = element => {
-                                    // upcast the array element to the data type the encoder expected.
-                                    val et = getType(dataTypeWithClass.cls)
-                                    val className = getClassNameFromType(et)
-                                    val newTypePath = walkedTypePath.recordArray(className)
-                                    deserializerForWithNullSafetyAndUpcast(
-                                        element,
-                                        dataTypeWithClass.dt,
-                                        nullable = dataTypeWithClass.nullable,
-                                        newTypePath,
-                                        (casted, typePath) => {
-                                            deserializerFor(
-                                                et, casted, typePath, Some(dataTypeWithClass)
-                                                    .filter(_.isInstanceOf[ComplexWrapper])
-                                                    .map(_.asInstanceOf[ComplexWrapper])
-                                            )
-                                        }
-                                    )
-                                }
-
-                                UnresolvedMapObjects(mapFunction, path, customCollectionCls = Some(t.cls))
-                            }
-
-                            case StructType(elementType: Array[StructField]) => {
-                                val cls = t.cls
-
-                                val arguments = elementType.map { field =>
-                                    val dataType = field.dataType.asInstanceOf[DataTypeWithClass]
-                                    val nullable = dataType.nullable
-                                    val clsName = getClassNameFromType(getType(dataType.cls))
-                                    val newTypePath = walkedTypePath.recordField(clsName, field.name)
-
-                                    // For tuples, we based grab the inner fields by ordinal instead of name.
-                                    val newPath = deserializerFor(
-                                        getType(dataType.cls),
-                                        addToPath(path, field.name, dataType.dt, newTypePath),
-                                        newTypePath,
-                                        Some(dataType).filter(_.isInstanceOf[ComplexWrapper])
-                                    )
-                                    expressionWithNullSafety(
-                                        newPath,
-                                        nullable = nullable,
-                                        newTypePath
-                                    )
-                                }
-                                val newInstance = NewInstance(cls, arguments, ObjectType(cls), propagateNull = false)
-
-                                org.apache.spark.sql.catalyst.expressions.If(
-                                    IsNull(path),
-                                    org.apache.spark.sql.catalyst.expressions.Literal.create(null, ObjectType(cls)),
-                                    newInstance
-                                )
-                            }
-
-                            case _ => {
-                                throw new UnsupportedOperationException(
-                                    s"No Encoder found for $tpe\n" + walkedTypePath
-                                )
-                            }
-                        }
-                    }
-                }
-            }
-
-            case t if definedByConstructorParams(t) => {
-                val params = getConstructorParameters(t)
-
-                val cls = getClassFromType(tpe)
-
-                val arguments = params.zipWithIndex.map { case ((fieldName, fieldType), i) =>
-                    val Schema(dataType, nullable) = schemaFor(fieldType)
-                    val clsName = getClassNameFromType(fieldType)
-                    val newTypePath = walkedTypePath.recordField(clsName, fieldName)
-
-                    // For tuples, we based grab the inner fields by ordinal instead of name.
-                    val newPath = if (cls.getName startsWith "scala.Tuple") {
-                        deserializerFor(
-                            fieldType,
-                            addToPathOrdinal(path, i, dataType, newTypePath),
-                            newTypePath
-                        )
-                    } else {
-                        deserializerFor(
-                            fieldType,
-                            addToPath(path, fieldName, dataType, newTypePath),
-                            newTypePath
-                        )
-                    }
-                    expressionWithNullSafety(
-                        newPath,
-                        nullable = nullable,
-                        newTypePath
-                    )
-                }
-
-                val newInstance = NewInstance(cls, arguments, ObjectType(cls), propagateNull = false)
-
-                org.apache.spark.sql.catalyst.expressions.If(
-                    IsNull(path),
-                    org.apache.spark.sql.catalyst.expressions.Literal.create(null, ObjectType(cls)),
-                    newInstance
-                )
-            }
-
-            case _ => {
-                throw new UnsupportedOperationException(
-                    s"No Encoder found for $tpe\n" + walkedTypePath
-                )
-            }
-        }
-    }
-
-    /**
-     * Returns an expression for serializing an object of type T to Spark SQL representation. The
-     * input object is located at ordinal 0 of a row, i.e., `BoundReference(0, _)`.
-     *
-     * If the given type is not supported, i.e. there is no encoder can be built for this type,
-     * an [[UnsupportedOperationException]] will be thrown with detailed error message to explain
-     * the type path walked so far and which class we are not supporting.
-     * There are 4 kinds of type path:
-     * * the root type: `root class: "abc.xyz.MyClass"`
-     * * the value type of [[Option]]: `option value class: "abc.xyz.MyClass"`
-     * * the element type of [[Array]] or [[Seq]]: `array element class: "abc.xyz.MyClass"`
-     * * the field of [[Product]]: `field (class: "abc.xyz.MyClass", name: "myField")`
-     */
-    def serializerForType(tpe: `Type`): Expression = ScalaReflection.cleanUpReflectionObjects {
-        val clsName = getClassNameFromType(tpe)
-        val walkedTypePath = WalkedTypePath().recordRoot(clsName)
-
-        // The input object to `ExpressionEncoder` is located at first column of an row.
-        val isPrimitive = tpe.typeSymbol.asClass.isPrimitive
-        val inputObject = BoundReference(0, dataTypeFor(tpe), nullable = !isPrimitive)
-
-        serializerFor(inputObject, tpe, walkedTypePath)
-    }
-
-    def getType[T](clazz: Class[T]): universe.Type = {
-        clazz match {
-            case _ if clazz == classOf[Array[Byte]] => localTypeOf[Array[Byte]]
-            case _ => {
-                val mir = runtimeMirror(clazz.getClassLoader)
-                mir.classSymbol(clazz).toType
-            }
-        }
-
-    }
-
-    def deserializerFor(cls: java.lang.Class[_], dt: DataTypeWithClass): Expression = {
-        val tpe = getType(cls)
-        val clsName = getClassNameFromType(tpe)
-        val walkedTypePath = WalkedTypePath().recordRoot(clsName)
-
-        // Assumes we are deserializing the first column of a row.
-        deserializerForWithNullSafetyAndUpcast(
-            GetColumnByOrdinal(0, dt.dt),
-            dt.dt,
-            nullable = dt.nullable,
-            walkedTypePath,
-            (casted, typePath) => deserializerFor(tpe, casted, typePath, Some(dt))
-        )
-    }
-
-
-    def serializerFor(cls: java.lang.Class[_], dt: DataTypeWithClass): Expression = {
-        val tpe = getType(cls)
-        val clsName = getClassNameFromType(tpe)
-        val walkedTypePath = WalkedTypePath().recordRoot(clsName)
-        val inputObject = BoundReference(0, ObjectType(cls), nullable = true)
-        serializerFor(inputObject, tpe, walkedTypePath, predefinedDt = Some(dt))
-    }
-
-    /**
-     * Returns an expression for serializing the value of an input expression into Spark SQL
-     * internal representation.
-     */
-    private def serializerFor(
-                                 inputObject: Expression,
-                                 tpe: `Type`,
-                                 walkedTypePath: WalkedTypePath,
-                                 seenTypeSet: Set[`Type`] = Set.empty,
-                                 predefinedDt: Option[DataTypeWithClass] = None,
-                             ): Expression = cleanUpReflectionObjects {
-
-        def toCatalystArray(
-                               input: Expression,
-                               elementType: `Type`,
-                               predefinedDt: Option[DataTypeWithClass] = None,
-                           ): Expression = {
-            val dataType = predefinedDt
-                .map(_.dt)
-                .getOrElse {
-                    dataTypeFor(elementType)
-                }
-
-            dataType match {
-
-                case dt@(MapType(_, _, _) | ArrayType(_, _) | StructType(_)) => {
-                    val clsName = getClassNameFromType(elementType)
-                    val newPath = walkedTypePath.recordArray(clsName)
-                    createSerializerForMapObjects(
-                        input, ObjectType(predefinedDt.get.cls),
-                        serializerFor(_, elementType, newPath, seenTypeSet, predefinedDt)
-                    )
-                }
-
-                case dt: ObjectType => {
-                    val clsName = getClassNameFromType(elementType)
-                    val newPath = walkedTypePath.recordArray(clsName)
-                    createSerializerForMapObjects(
-                        input, dt,
-                        serializerFor(_, elementType, newPath, seenTypeSet)
-                    )
-                }
-
-                //                case dt: ByteType =>
-                //                    createSerializerForPrimitiveArray(input, dt)
-
-                case dt@(BooleanType | ByteType | ShortType | IntegerType | LongType | FloatType | DoubleType) => {
-                    val cls = input.dataType.asInstanceOf[ObjectType].cls
-                    if (cls.isArray && cls.getComponentType.isPrimitive) {
-                        createSerializerForPrimitiveArray(input, dt)
-                    } else {
-                        createSerializerForGenericArray(
-                            inputObject = input,
-                            dataType = dt,
-                            nullable = predefinedDt
-                                .map(_.nullable)
-                                .getOrElse(
-                                    schemaFor(elementType).nullable
-                                ),
-                        )
-                    }
-                }
-
-                case _: StringType => {
-                    val clsName = getClassNameFromType(typeOf[String])
-                    val newPath = walkedTypePath.recordArray(clsName)
-                    createSerializerForMapObjects(
-                        input, ObjectType(Class.forName(getClassNameFromType(elementType))),
-                        serializerFor(_, elementType, newPath, seenTypeSet)
-                    )
-                }
-
-                case dt => {
-                    createSerializerForGenericArray(
-                        inputObject = input,
-                        dataType = dt,
-                        nullable = predefinedDt
-                            .map(_.nullable)
-                            .getOrElse {
-                                schemaFor(elementType).nullable
-                            },
-                    )
-                }
-            }
-        }
-
-        baseType(tpe) match {
-
-            //<editor-fold desc="scala-like">
-            case _ if !inputObject.dataType.isInstanceOf[ObjectType] &&
-                !predefinedDt.exists(_.isInstanceOf[ComplexWrapper]) => {
-                inputObject
-            }
-            case t if isSubtype(t, localTypeOf[Option[_]]) => {
-                val TypeRef(_, _, Seq(optType)) = t
-                val className = getClassNameFromType(optType)
-                val newPath = walkedTypePath.recordOption(className)
-                val unwrapped = UnwrapOption(dataTypeFor(optType), inputObject)
-                serializerFor(unwrapped, optType, newPath, seenTypeSet)
-            }
-
-            // Since List[_] also belongs to localTypeOf[Product], we put this case before
-            // "case t if definedByConstructorParams(t)" to make sure it will match to the
-            // case "localTypeOf[Seq[_]]"
-            case t if isSubtype(t, localTypeOf[Seq[_]]) => {
-                val TypeRef(_, _, Seq(elementType)) = t
-                toCatalystArray(inputObject, elementType)
-            }
-
-            case t if isSubtype(t, localTypeOf[Array[_]]) && predefinedDt.isEmpty => {
-                val TypeRef(_, _, Seq(elementType)) = t
-                toCatalystArray(inputObject, elementType)
-            }
-
-            case t if isSubtype(t, localTypeOf[Map[_, _]]) => {
-                val TypeRef(_, _, Seq(keyType, valueType)) = t
-                val keyClsName = getClassNameFromType(keyType)
-                val valueClsName = getClassNameFromType(valueType)
-                val keyPath = walkedTypePath.recordKeyForMap(keyClsName)
-                val valuePath = walkedTypePath.recordValueForMap(valueClsName)
-
-                createSerializerForMap(
-                    inputObject,
-                    MapElementInformation(
-                        dataTypeFor(keyType),
-                        nullable = !keyType.typeSymbol.asClass.isPrimitive,
-                        serializerFor(_, keyType, keyPath, seenTypeSet)
-                    ),
-                    MapElementInformation(
-                        dataTypeFor(valueType),
-                        nullable = !valueType.typeSymbol.asClass.isPrimitive,
-                        serializerFor(_, valueType, valuePath, seenTypeSet)
-                    )
-                )
-            }
-
-            case t if isSubtype(t, localTypeOf[scala.collection.Set[_]]) => {
-                val TypeRef(_, _, Seq(elementType)) = t
-
-                // There's no corresponding Catalyst type for `Set`, we serialize a `Set` to Catalyst array.
-                // Note that the property of `Set` is only kept when manipulating the data as domain object.
-                val newInput =
-                Invoke(
-                    inputObject,
-                    "toSeq",
-                    ObjectType(classOf[Seq[_]])
-                )
-
-                toCatalystArray(newInput, elementType)
-            }
-
-            case t if isSubtype(t, localTypeOf[String]) => {
-                createSerializerForString(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Instant]) => {
-                createSerializerForJavaInstant(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.sql.Timestamp]) => {
-                createSerializerForSqlTimestamp(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.time.LocalDateTime]) => {
-                //#if sparkMinor >= 3.2
-                createSerializerForLocalDateTime(inputObject)
-                //#else
-                //$throw new IllegalArgumentException("TimestampNTZType is supported in spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[java.time.LocalDate]) => {
-                createSerializerForJavaLocalDate(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.sql.Date]) => {
-                createSerializerForSqlDate(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Duration]) => {
-                //#if sparkMinor >= 3.2
-                createSerializerForJavaDuration(inputObject)
-                //#else
-                //$throw new IllegalArgumentException("java.time.Duration is supported in spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Period]) => {
-                //#if sparkMinor >= 3.2
-                createSerializerForJavaPeriod(inputObject)
-                //#else
-                //$throw new IllegalArgumentException("java.time.Period is supported in spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[BigDecimal]) => {
-                createSerializerForScalaBigDecimal(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.math.BigDecimal]) => {
-                createSerializerForJavaBigDecimal(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.math.BigInteger]) => {
-                createSerializerForJavaBigInteger(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[scala.math.BigInt]) => {
-                createSerializerForScalaBigInt(inputObject)
-            }
-
-            case t if isSubtype(t, localTypeOf[java.lang.Integer]) => {
-                createSerializerForInteger(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[Int]) => {
-                createSerializerForInteger(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Long]) => {
-                createSerializerForLong(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[Long]) => {
-                createSerializerForLong(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Double]) => {
-                createSerializerForDouble(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[Double]) => {
-                createSerializerForDouble(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Float]) => {
-                createSerializerForFloat(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[Float]) => {
-                createSerializerForFloat(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Short]) => {
-                createSerializerForShort(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[Short]) => {
-                createSerializerForShort(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Byte]) => {
-                createSerializerForByte(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[Byte]) => {
-                createSerializerForByte(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Boolean]) => {
-                createSerializerForBoolean(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[Boolean]) => {
-                createSerializerForBoolean(inputObject)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Enum[_]]) => {
-                createSerializerForString(
-                    Invoke(inputObject, "name", ObjectType(classOf[String]), returnNullable = false)
-                )
-            }
-            case t if t.typeSymbol.annotations.exists(_.tree.tpe =:= typeOf[SQLUserDefinedType]) => {
-                val udt = getClassFromType(t)
-                    .getAnnotation(classOf[SQLUserDefinedType]).udt().getConstructor().newInstance()
-                val udtClass = udt.userClass.getAnnotation(classOf[SQLUserDefinedType]).udt()
-                createSerializerForUserDefinedType(inputObject, udt, udtClass)
-            }
-
-            case t if UDTRegistration.exists(getClassNameFromType(t)) => {
-                val udt = UDTRegistration.getUDTFor(getClassNameFromType(t)).get.getConstructor().
-                    newInstance().asInstanceOf[UserDefinedType[_]]
-                val udtClass = udt.getClass
-                createSerializerForUserDefinedType(inputObject, udt, udtClass)
-            }
-            //</editor-fold>
-
-            // Kotlin specific cases
-            case t if predefinedDt.isDefined => {
-
-                //                if (seenTypeSet.contains(t)) {
-                //                    throw new UnsupportedOperationException(
-                //                        s"cannot have circular references in class, but got the circular reference of class $t"
-                //                    )
-                //                }
-
-                predefinedDt.get match {
-
-                    // Kotlin data class
-                    case dataType: KDataTypeWrapper => {
-                        val cls = dataType.cls
-                        val properties = getJavaBeanReadableProperties(cls)
-                        val structFields = dataType.dt.fields.map(_.asInstanceOf[KStructField])
-                        val fields: Array[(String, Expression)] = structFields.map { structField =>
-                            val maybeProp = properties.find {
-                                _.getName == structField.getterName
-                            }
-                            if (maybeProp.isEmpty)
-                                throw new IllegalArgumentException(
-                                    s"Field ${structField.name} is not found among available props, which are: ${properties.map(_.getName).mkString(", ")}"
-                                )
-                            val fieldName = structField.name
-                            val propClass = structField.dataType.asInstanceOf[DataTypeWithClass].cls
-                            val propDt = structField.dataType.asInstanceOf[DataTypeWithClass]
-
-                            val fieldValue = Invoke(
-                                inputObject,
-                                maybeProp.get.getName,
-                                inferExternalType(propClass),
-                                returnNullable = structField.nullable
-                            )
-                            val newPath = walkedTypePath.recordField(propClass.getName, fieldName)
-
-                            val tpe = getType(propClass)
-
-                            val serializer = serializerFor(
-                                inputObject = fieldValue,
-                                tpe = tpe,
-                                walkedTypePath = newPath,
-                                seenTypeSet = seenTypeSet,
-                                predefinedDt = if (propDt.isInstanceOf[ComplexWrapper]) Some(propDt) else None
-                            )
-
-                            (fieldName, serializer)
-                        }
-                        createSerializerForObject(inputObject, fields)
-                    }
-
-                    case otherTypeWrapper: ComplexWrapper => {
-
-                        otherTypeWrapper.dt match {
-
-                            case MapType(kt, vt, _) => {
-                                val Seq(keyType, valueType) = Seq(kt, vt).map(_.asInstanceOf[DataTypeWithClass].cls)
-                                    .map(getType(_))
-                                val Seq(keyDT, valueDT) = Seq(kt, vt).map(_.asInstanceOf[DataTypeWithClass])
-                                val keyClsName = getClassNameFromType(keyType)
-                                val valueClsName = getClassNameFromType(valueType)
-                                val keyPath = walkedTypePath.recordKeyForMap(keyClsName)
-                                val valuePath = walkedTypePath.recordValueForMap(valueClsName)
-
-                                createSerializerForMap(
-                                    inputObject,
-                                    MapElementInformation(
-                                        dataTypeFor(keyType),
-                                        nullable = !keyType.typeSymbol.asClass.isPrimitive,
-                                        serializerFor(
-                                            _, keyType, keyPath, seenTypeSet, Some(keyDT)
-                                                .filter(_.isInstanceOf[ComplexWrapper])
-                                        )
-                                    ),
-                                    MapElementInformation(
-                                        dataTypeFor(valueType),
-                                        nullable = !valueType.typeSymbol.asClass.isPrimitive,
-                                        serializerFor(
-                                            _, valueType, valuePath, seenTypeSet, Some(valueDT)
-                                                .filter(_.isInstanceOf[ComplexWrapper])
-                                        )
-                                    )
-                                )
-                            }
-
-                            case ArrayType(elementType, _) => {
-                                toCatalystArray(
-                                    inputObject,
-                                    getType(elementType.asInstanceOf[DataTypeWithClass].cls
-                                    ), Some(elementType.asInstanceOf[DataTypeWithClass])
-                                )
-                            }
-
-                            case StructType(elementType: Array[StructField]) => {
-                                val cls = otherTypeWrapper.cls
-                                val names = elementType.map(_.name)
-
-                                val beanInfo = Introspector.getBeanInfo(cls)
-                                val methods = beanInfo.getMethodDescriptors.filter(it => names.contains(it.getName))
-
-
-                                val fields = elementType.map { structField =>
-
-                                    val maybeProp = methods.find(it => it.getName == structField.name)
-                                    if (maybeProp.isEmpty) throw new IllegalArgumentException(s"Field ${
-                                        structField.name
-                                    } is not found among available props, which are: ${
-                                        methods.map(_.getName).mkString(", ")
-                                    }"
-                                    )
-                                    val fieldName = structField.name
-                                    val propClass = structField.dataType.asInstanceOf[DataTypeWithClass].cls
-                                    val propDt = structField.dataType.asInstanceOf[DataTypeWithClass]
-                                    val fieldValue = Invoke(
-                                        inputObject,
-                                        maybeProp.get.getName,
-                                        inferExternalType(propClass),
-                                        returnNullable = propDt.nullable
-                                    )
-                                    val newPath = walkedTypePath.recordField(propClass.getName, fieldName)
-                                    (fieldName, serializerFor(
-                                        fieldValue, getType(propClass), newPath, seenTypeSet, if (propDt
-                                            .isInstanceOf[ComplexWrapper]) Some(propDt) else None
-                                    ))
-
-                                }
-                                createSerializerForObject(inputObject, fields)
-                            }
-
-                            case _ => {
-                                throw new UnsupportedOperationException(
-                                    s"No Encoder found for $tpe\n" + walkedTypePath
-                                )
-                            }
-                        }
-                    }
-                }
-            }
-
-            case t if definedByConstructorParams(t) => {
-                if (seenTypeSet.contains(t)) {
-                    throw new UnsupportedOperationException(
-                        s"cannot have circular references in class, but got the circular reference of class $t"
-                    )
-                }
-
-                val params = getConstructorParameters(t)
-                val fields = params.map { case (fieldName, fieldType) =>
-                    if (javaKeywords.contains(fieldName)) {
-                        throw new UnsupportedOperationException(s"`$fieldName` is a reserved keyword and " +
-                            "cannot be used as field name\n" + walkedTypePath
-                        )
-                    }
-
-                    // SPARK-26730 inputObject won't be null with If's guard below. And KnownNotNul
-                    // is necessary here. Because for a nullable nested inputObject with struct data
-                    // type, e.g. StructType(IntegerType, StringType), it will return nullable=true
-                    // for IntegerType without KnownNotNull. And that's what we do not expect to.
-                    val fieldValue = Invoke(
-                        KnownNotNull(inputObject), fieldName, dataTypeFor(fieldType),
-                        returnNullable = !fieldType.typeSymbol.asClass.isPrimitive
-                    )
-                    val clsName = getClassNameFromType(fieldType)
-                    val newPath = walkedTypePath.recordField(clsName, fieldName)
-                    (fieldName, serializerFor(fieldValue, fieldType, newPath, seenTypeSet + t))
-                }
-                createSerializerForObject(inputObject, fields)
-            }
-
-            case _ => {
-                throw new UnsupportedOperationException(
-                    s"No Encoder found for $tpe\n" + walkedTypePath
-                )
-            }
-        }
-    }
-
-    def createDeserializerForString(path: Expression, returnNullable: Boolean): Expression = {
-        Invoke(
-            path, "toString", ObjectType(classOf[java.lang.String]),
-            returnNullable = returnNullable
-        )
-    }
-
-    def getJavaBeanReadableProperties(beanClass: Class[_]): Array[Method] = {
-        val beanInfo = Introspector.getBeanInfo(beanClass)
-        beanInfo
-            .getMethodDescriptors
-            .filter { it => it.getName.startsWith("is") || it.getName.startsWith("get") }
-            .filterNot { _.getName == "getClass" }
-            .filterNot { _.getName == "getDeclaringClass" }
-            .map { _.getMethod }
-    }
-
-    /*
-     * Retrieves the runtime class corresponding to the provided type.
-     */
-    def getClassFromType(tpe: Type): Class[_] = mirror.runtimeClass(tpe.dealias.typeSymbol.asClass)
-
-    case class Schema(dataType: DataType, nullable: Boolean)
-
-    /** Returns a catalyst DataType and its nullability for the given Scala Type using reflection. */
-    def schemaFor(tpe: `Type`): Schema = cleanUpReflectionObjects {
-
-        baseType(tpe) match {
-            // this must be the first case, since all objects in scala are instances of Null, therefore
-            // Null type would wrongly match the first of them, which is Option as of now
-            case t if isSubtype(t, definitions.NullTpe) => Schema(NullType, nullable = true)
-
-            case t if t.typeSymbol.annotations.exists(_.tree.tpe =:= typeOf[SQLUserDefinedType]) => {
-                val udt = getClassFromType(t).getAnnotation(classOf[SQLUserDefinedType]).udt().
-                    getConstructor().newInstance()
-                Schema(udt, nullable = true)
-            }
-            case t if UDTRegistration.exists(getClassNameFromType(t)) => {
-                val udt = UDTRegistration
-                    .getUDTFor(getClassNameFromType(t))
-                    .get
-                    .getConstructor()
-                    .newInstance()
-                    .asInstanceOf[UserDefinedType[_]]
-                Schema(udt, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[Option[_]]) => {
-                val TypeRef(_, _, Seq(optType)) = t
-                Schema(schemaFor(optType).dataType, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[Array[Byte]]) => {
-                Schema(BinaryType, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[Array[_]]) => {
-                val TypeRef(_, _, Seq(elementType)) = t
-                val Schema(dataType, nullable) = schemaFor(elementType)
-                Schema(ArrayType(dataType, containsNull = nullable), nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[Seq[_]]) => {
-                val TypeRef(_, _, Seq(elementType)) = t
-                val Schema(dataType, nullable) = schemaFor(elementType)
-                Schema(ArrayType(dataType, containsNull = nullable), nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[Map[_, _]]) => {
-                val TypeRef(_, _, Seq(keyType, valueType)) = t
-                val Schema(valueDataType, valueNullable) = schemaFor(valueType)
-                Schema(
-                    MapType(
-                        schemaFor(keyType).dataType,
-                        valueDataType, valueContainsNull = valueNullable
-                    ), nullable = true
-                )
-            }
-            case t if isSubtype(t, localTypeOf[Set[_]]) => {
-                val TypeRef(_, _, Seq(elementType)) = t
-                val Schema(dataType, nullable) = schemaFor(elementType)
-                Schema(ArrayType(dataType, containsNull = nullable), nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[String]) => {
-                Schema(StringType, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Instant]) => {
-                Schema(TimestampType, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[java.sql.Timestamp]) => {
-                Schema(TimestampType, nullable = true)
-            }
-            // SPARK-36227: Remove TimestampNTZ type support in Spark 3.2 with minimal code changes.
-            case t if isSubtype(t, localTypeOf[java.time.LocalDateTime]) && Utils.isTesting => {
-                //#if sparkMinor >= 3.2
-                Schema(TimestampNTZType, nullable = true)
-                //#else
-                //$throw new IllegalArgumentException("java.time.LocalDateTime is supported in Spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[java.time.LocalDate]) => {
-                Schema(DateType, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[java.sql.Date]) => {
-                Schema(DateType, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[CalendarInterval]) => {
-                Schema(CalendarIntervalType, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Duration]) => {
-                //#if sparkMinor >= 3.2
-                Schema(DayTimeIntervalType(), nullable = true)
-                //#else
-                //$throw new IllegalArgumentException("DayTimeIntervalType for java.time.Duration is supported in Spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[java.time.Period]) => {
-                //#if sparkMinor >= 3.2
-                Schema(YearMonthIntervalType(), nullable = true)
-                //#else
-                //$throw new IllegalArgumentException("YearMonthIntervalType for java.time.Period is supported in Spark 3.2+")
-                //#endif
-            }
-            case t if isSubtype(t, localTypeOf[BigDecimal]) => {
-                Schema(DecimalType.SYSTEM_DEFAULT, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[java.math.BigDecimal]) => {
-                Schema(DecimalType.SYSTEM_DEFAULT, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[java.math.BigInteger]) => {
-                Schema(DecimalType.BigIntDecimal, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[scala.math.BigInt]) => {
-                Schema(DecimalType.BigIntDecimal, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[Decimal]) => {
-                Schema(DecimalType.SYSTEM_DEFAULT, nullable = true)
-            }
-            case t if isSubtype(t, localTypeOf[java.lang.Integer]) => Schema(IntegerType, nullable = true)
-            case t if isSubtype(t, localTypeOf[java.lang.Long]) => Schema(LongType, nullable = true)
-            case t if isSubtype(t, localTypeOf[java.lang.Double]) => Schema(DoubleType, nullable = true)
-            case t if isSubtype(t, localTypeOf[java.lang.Float]) => Schema(FloatType, nullable = true)
-            case t if isSubtype(t, localTypeOf[java.lang.Short]) => Schema(ShortType, nullable = true)
-            case t if isSubtype(t, localTypeOf[java.lang.Byte]) => Schema(ByteType, nullable = true)
-            case t if isSubtype(t, localTypeOf[java.lang.Boolean]) => Schema(BooleanType, nullable = true)
-            case t if isSubtype(t, definitions.IntTpe) => Schema(IntegerType, nullable = false)
-            case t if isSubtype(t, definitions.LongTpe) => Schema(LongType, nullable = false)
-            case t if isSubtype(t, definitions.DoubleTpe) => Schema(DoubleType, nullable = false)
-            case t if isSubtype(t, definitions.FloatTpe) => Schema(FloatType, nullable = false)
-            case t if isSubtype(t, definitions.ShortTpe) => Schema(ShortType, nullable = false)
-            case t if isSubtype(t, definitions.ByteTpe) => Schema(ByteType, nullable = false)
-            case t if isSubtype(t, definitions.BooleanTpe) => Schema(BooleanType, nullable = false)
-            case t if definedByConstructorParams(t) => {
-                val params = getConstructorParameters(t)
-                Schema(
-                    StructType(
-                        params.map { case (fieldName, fieldType) =>
-                            val Schema(dataType, nullable) = schemaFor(fieldType)
-                            StructField(fieldName, dataType, nullable)
-                        }
-                    ), nullable = true
-                )
-            }
-            case other => {
-                throw new UnsupportedOperationException(s"Schema for type $other is not supported")
-            }
-        }
-    }
-
-    /**
-     * Finds an accessible constructor with compatible parameters. This is a more flexible search than
-     * the exact matching algorithm in `Class.getConstructor`. The first assignment-compatible
-     * matching constructor is returned if it exists. Otherwise, we check for additional compatible
-     * constructors defined in the companion object as `apply` methods. Otherwise, it returns `None`.
-     */
-    def findConstructor[T](cls: Class[T], paramTypes: Seq[Class[_]]): Option[Seq[AnyRef] => T] = {
-        Option(ConstructorUtils.getMatchingAccessibleConstructor(cls, paramTypes: _*)) match {
-            case Some(c) => Some(x => c.newInstance(x: _*))
-            case None =>
-                val companion = mirror.staticClass(cls.getName).companion
-                val moduleMirror = mirror.reflectModule(companion.asModule)
-                val applyMethods = companion.asTerm.typeSignature
-                    .member(universe.TermName("apply")).asTerm.alternatives
-                applyMethods.find { method =>
-                    val params = method.typeSignature.paramLists.head
-                    // Check that the needed params are the same length and of matching types
-                    params.size == paramTypes.tail.size &&
-                        params.zip(paramTypes.tail).forall { case (ps, pc) =>
-                            ps.typeSignature.typeSymbol == mirror.classSymbol(pc)
-                        }
-                }.map { applyMethodSymbol =>
-                    val expectedArgsCount = applyMethodSymbol.typeSignature.paramLists.head.size
-                    val instanceMirror = mirror.reflect(moduleMirror.instance)
-                    val method = instanceMirror.reflectMethod(applyMethodSymbol.asMethod)
-                    (_args: Seq[AnyRef]) => {
-                        // Drop the "outer" argument if it is provided
-                        val args = if (_args.size == expectedArgsCount) _args else _args.tail
-                        method.apply(args: _*).asInstanceOf[T]
-                    }
-                }
-        }
-    }
-
-    /**
-     * Whether the fields of the given type is defined entirely by its constructor parameters.
-     */
-    def definedByConstructorParams(tpe: Type): Boolean = cleanUpReflectionObjects {
-        tpe.dealias match {
-            // `Option` is a `Product`, but we don't wanna treat `Option[Int]` as a struct type.
-            case t if isSubtype(t, localTypeOf[Option[_]]) => definedByConstructorParams(t.typeArgs.head)
-            case _ => {
-                isSubtype(tpe.dealias, localTypeOf[Product]) ||
-                    isSubtype(tpe.dealias, localTypeOf[DefinedByConstructorParams])
-            }
-        }
-    }
-
-    private val javaKeywords = Set(
-        "abstract", "assert", "boolean", "break", "byte", "case", "catch",
-        "char", "class", "const", "continue", "default", "do", "double", "else", "extends", "false",
-        "final", "finally", "float", "for", "goto", "if", "implements", "import", "instanceof", "int",
-        "interface", "long", "native", "new", "null", "package", "private", "protected", "public",
-        "return", "short", "static", "strictfp", "super", "switch", "synchronized", "this", "throw",
-        "throws", "transient", "true", "try", "void", "volatile", "while"
-    )
-
-
-    @scala.annotation.tailrec
-    def javaBoxedType(dt: DataType): Class[_] = dt match {
-        case _: DecimalType => classOf[Decimal]
-        //#if sparkMinor >= 3.2
-        case _: DayTimeIntervalType => classOf[java.lang.Long]
-        case _: YearMonthIntervalType => classOf[java.lang.Integer]
-        //#endif
-        case BinaryType => classOf[Array[Byte]]
-        case StringType => classOf[UTF8String]
-        case CalendarIntervalType => classOf[CalendarInterval]
-        case _: StructType => classOf[InternalRow]
-        case _: ArrayType => classOf[ArrayType]
-        case _: MapType => classOf[MapType]
-        case udt: UserDefinedType[_] => javaBoxedType(udt.sqlType)
-        case ObjectType(cls) => cls
-        case _ => ScalaReflection.typeBoxedJavaMapping.getOrElse(dt, classOf[java.lang.Object])
-    }
-
-}
-
-/**
- * Support for generating catalyst schemas for scala objects.  Note that unlike its companion
- * object, this trait able to work in both the runtime and the compile time (macro) universe.
- */
-trait KotlinReflection extends Logging {
-    /** The universe we work in (runtime or macro) */
-    val universe: scala.reflect.api.Universe
-
-    /** The mirror used to access types in the universe */
-    def mirror: universe.Mirror
-
-    import universe._
-
-    // The Predef.Map is scala.collection.immutable.Map.
-    // Since the map values can be mutable, we explicitly import scala.collection.Map at here.
-
-    /**
-     * Any codes calling `scala.reflect.api.Types.TypeApi.<:<` should be wrapped by this method to
-     * clean up the Scala reflection garbage automatically. Otherwise, it will leak some objects to
-     * `scala.reflect.runtime.JavaUniverse.undoLog`.
-     *
-     * @see https://github.com/scala/bug/issues/8302
-     */
-    def cleanUpReflectionObjects[T](func: => T): T = {
-        universe.asInstanceOf[scala.reflect.runtime.JavaUniverse].undoLog.undo(func)
-    }
-
-    /**
-     * Return the Scala Type for `T` in the current classloader mirror.
-     *
-     * Use this method instead of the convenience method `universe.typeOf`, which
-     * assumes that all types can be found in the classloader that loaded scala-reflect classes.
-     * That's not necessarily the case when running using Eclipse launchers or even
-     * Sbt console or test (without `fork := true`).
-     *
-     * @see SPARK-5281
-     */
-    def localTypeOf[T: TypeTag]: `Type` = {
-        val tag = implicitly[TypeTag[T]]
-        tag.in(mirror).tpe.dealias
-    }
-
-    private def isValueClass(tpe: Type): Boolean = {
-        tpe.typeSymbol.isClass && tpe.typeSymbol.asClass.isDerivedValueClass
-    }
-
-    /** Returns the name and type of the underlying parameter of value class `tpe`. */
-    private def getUnderlyingTypeOfValueClass(tpe: `Type`): Type = {
-        getConstructorParameters(tpe).head._2
-    }
-
-    /**
-     * Returns the full class name for a type. The returned name is the canonical
-     * Scala name, where each component is separated by a period. It is NOT the
-     * Java-equivalent runtime name (no dollar signs).
-     *
-     * In simple cases, both the Scala and Java names are the same, however when Scala
-     * generates constructs that do not map to a Java equivalent, such as singleton objects
-     * or nested classes in package objects, it uses the dollar sign ($) to create
-     * synthetic classes, emulating behaviour in Java bytecode.
-     */
-    def getClassNameFromType(tpe: `Type`): String = {
-        tpe.dealias.erasure.typeSymbol.asClass.fullName
-    }
-
-    /**
-     * Returns the parameter names and types for the primary constructor of this type.
-     *
-     * Note that it only works for scala classes with primary constructor, and currently doesn't
-     * support inner class.
-     */
-    def getConstructorParameters(tpe: Type): Seq[(String, Type)] = {
-        val dealiasedTpe = tpe.dealias
-        val formalTypeArgs = dealiasedTpe.typeSymbol.asClass.typeParams
-        val TypeRef(_, _, actualTypeArgs) = dealiasedTpe
-        val params = constructParams(dealiasedTpe)
-        params.map { p =>
-            val paramTpe = p.typeSignature
-            if (isValueClass(paramTpe)) {
-                // Replace value class with underlying type
-                p.name.decodedName.toString -> getUnderlyingTypeOfValueClass(paramTpe)
-            } else {
-                p.name.decodedName.toString -> paramTpe.substituteTypes(formalTypeArgs, actualTypeArgs)
-            }
-        }
-    }
-
-    /**
-     * If our type is a Scala trait it may have a companion object that
-     * only defines a constructor via `apply` method.
-     */
-    private def getCompanionConstructor(tpe: Type): Symbol = {
-        def throwUnsupportedOperation = {
-            throw new UnsupportedOperationException(s"Unable to find constructor for $tpe. " +
-                s"This could happen if $tpe is an interface, or a trait without companion object " +
-                "constructor."
-            )
-        }
-
-        tpe.typeSymbol.asClass.companion match {
-            case NoSymbol => throwUnsupportedOperation
-            case sym => {
-                sym.asTerm.typeSignature.member(universe.TermName("apply")) match {
-                    case NoSymbol => throwUnsupportedOperation
-                    case constructorSym => constructorSym
-                }
-            }
-        }
-    }
-
-    protected def constructParams(tpe: Type): Seq[Symbol] = {
-        val constructorSymbol = tpe.member(termNames.CONSTRUCTOR) match {
-            case NoSymbol => getCompanionConstructor(tpe)
-            case sym => sym
-        }
-        val params = if (constructorSymbol.isMethod) {
-            constructorSymbol.asMethod.paramLists
-        } else {
-            // Find the primary constructor, and use its parameter ordering.
-            val primaryConstructorSymbol: Option[Symbol] = constructorSymbol.asTerm.alternatives.find(
-                s => s.isMethod && s.asMethod.isPrimaryConstructor
-            )
-            if (primaryConstructorSymbol.isEmpty) {
-                sys.error("Internal SQL error: Product object did not have a primary constructor.")
-            } else {
-                primaryConstructorSymbol.get.asMethod.paramLists
-            }
-        }
-        params.flatten
-    }
-
-}
-
diff --git a/core/src/main/scala/org/apache/spark/sql/KotlinWrappers.scala b/core/src/main/scala/org/apache/spark/sql/KotlinWrappers.scala
deleted file mode 100644
index 76da9016..00000000
--- a/core/src/main/scala/org/apache/spark/sql/KotlinWrappers.scala
+++ /dev/null
@@ -1,229 +0,0 @@
-/*-
- * =LICENSE=
- * Kotlin Spark API: Examples
- * ----------
- * Copyright (C) 2019 - 2020 JetBrains
- * ----------
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =LICENSEEND=
- */
-package org.apache.spark.sql
-
-import org.apache.spark.sql.catalyst.analysis.Resolver
-import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression}
-import org.apache.spark.sql.catalyst.util.StringUtils
-import org.apache.spark.sql.types.{DataType, Metadata, StructField, StructType}
-
-
-trait DataTypeWithClass {
-    val dt: DataType
-    val cls: Class[ _ ]
-    val nullable: Boolean
-}
-
-trait ComplexWrapper extends DataTypeWithClass
-
-class KDataTypeWrapper(
-    val dt: StructType,
-    val cls: Class[ _ ],
-    val nullable: Boolean = true,
-) extends StructType with ComplexWrapper {
-
-    override def fieldNames: Array[ String ] = dt.fieldNames
-
-    override def names: Array[ String ] = dt.names
-
-    override def equals(that: Any): Boolean = dt.equals(that)
-
-    override def hashCode(): Int = dt.hashCode()
-
-    override def add(field: StructField): StructType = dt.add(field)
-
-    override def add(name: String, dataType: DataType): StructType = dt.add(name, dataType)
-
-    override def add(name: String, dataType: DataType, nullable: Boolean): StructType = dt.add(name, dataType, nullable)
-
-    override def add(name: String, dataType: DataType, nullable: Boolean, metadata: Metadata): StructType = dt
-        .add(name, dataType, nullable, metadata)
-
-    override def add(name: String, dataType: DataType, nullable: Boolean, comment: String): StructType = dt
-        .add(name, dataType, nullable, comment)
-
-    override def add(name: String, dataType: String): StructType = dt.add(name, dataType)
-
-    override def add(name: String, dataType: String, nullable: Boolean): StructType = dt.add(name, dataType, nullable)
-
-    override def add(name: String, dataType: String, nullable: Boolean, metadata: Metadata): StructType = dt
-        .add(name, dataType, nullable, metadata)
-
-    override def add(name: String, dataType: String, nullable: Boolean, comment: String): StructType = dt
-        .add(name, dataType, nullable, comment)
-
-    override def apply(name: String): StructField = dt.apply(name)
-
-    override def apply(names: Set[ String ]): StructType = dt.apply(names)
-
-    override def fieldIndex(name: String): Int = dt.fieldIndex(name)
-
-    override private[ sql ] def getFieldIndex(name: String) = dt.getFieldIndex(name)
-
-    //#if sparkMinor < 3.2
-    //$override
-    //#endif
-    private[ sql ] def findNestedField(fieldNames: Seq[ String ], includeCollections: Boolean, resolver: Resolver) =
-        dt.findNestedField(fieldNames, includeCollections, resolver)
-
-    override private[ sql ] def buildFormattedString(prefix: String, stringConcat: StringUtils.StringConcat, maxDepth: Int): Unit =
-        dt.buildFormattedString(prefix, stringConcat, maxDepth)
-
-    override protected[ sql ] def toAttributes: Seq[ AttributeReference ] = dt.toAttributes
-
-    override def treeString: String = dt.treeString
-
-    override def treeString(maxDepth: Int): String = dt.treeString(maxDepth)
-
-    override def printTreeString(): Unit = dt.printTreeString()
-
-    private[ sql ] override def jsonValue = dt.jsonValue
-
-    override def apply(fieldIndex: Int): StructField = dt.apply(fieldIndex)
-
-    override def length: Int = dt.length
-
-    override def iterator: Iterator[ StructField ] = dt.iterator
-
-    override def defaultSize: Int = dt.defaultSize
-
-    override def simpleString: String = dt.simpleString
-
-    override def catalogString: String = dt.catalogString
-
-    override def sql: String = dt.sql
-
-    override def toDDL: String = dt.toDDL
-
-    private[ sql ] override def simpleString(maxNumberFields: Int) = dt.simpleString(maxNumberFields)
-
-    override private[ sql ] def merge(that: StructType) = dt.merge(that)
-
-    private[ spark ] override def asNullable = dt.asNullable
-
-    private[ spark ] override def existsRecursively(f: DataType => Boolean) = dt.existsRecursively(f)
-
-    override private[ sql ] lazy val interpretedOrdering = dt.interpretedOrdering
-
-    override def toString = s"KDataTypeWrapper(dt=$dt, cls=$cls, nullable=$nullable)"
-}
-
-case class KComplexTypeWrapper(dt: DataType, cls: Class[ _ ], nullable: Boolean) extends DataType with ComplexWrapper {
-
-    override private[ sql ] def unapply(e: Expression) = dt.unapply(e)
-
-    override def typeName: String = dt.typeName
-
-    override private[ sql ] def jsonValue = dt.jsonValue
-
-    override def json: String = dt.json
-
-    override def prettyJson: String = dt.prettyJson
-
-    override def simpleString: String = dt.simpleString
-
-    override def catalogString: String = dt.catalogString
-
-    override private[ sql ] def simpleString(maxNumberFields: Int) = dt.simpleString(maxNumberFields)
-
-    override def sql: String = dt.sql
-
-    override private[ spark ] def sameType(other: DataType) = dt.sameType(other)
-
-    override private[ spark ] def existsRecursively(f: DataType => Boolean) = dt.existsRecursively(f)
-
-    private[ sql ] override def defaultConcreteType = dt.defaultConcreteType
-
-    private[ sql ] override def acceptsType(other: DataType) = dt.acceptsType(other)
-
-    override def defaultSize: Int = dt.defaultSize
-
-    override private[ spark ] def asNullable = dt.asNullable
-
-}
-
-case class KSimpleTypeWrapper(dt: DataType, cls: Class[ _ ], nullable: Boolean) extends DataType with DataTypeWithClass {
-    override private[ sql ] def unapply(e: Expression) = dt.unapply(e)
-
-    override def typeName: String = dt.typeName
-
-    override private[ sql ] def jsonValue = dt.jsonValue
-
-    override def json: String = dt.json
-
-    override def prettyJson: String = dt.prettyJson
-
-    override def simpleString: String = dt.simpleString
-
-    override def catalogString: String = dt.catalogString
-
-    override private[ sql ] def simpleString(maxNumberFields: Int) = dt.simpleString(maxNumberFields)
-
-    override def sql: String = dt.sql
-
-    override private[ spark ] def sameType(other: DataType) = dt.sameType(other)
-
-    override private[ spark ] def existsRecursively(f: DataType => Boolean) = dt.existsRecursively(f)
-
-    private[ sql ] override def defaultConcreteType = dt.defaultConcreteType
-
-    private[ sql ] override def acceptsType(other: DataType) = dt.acceptsType(other)
-
-    override def defaultSize: Int = dt.defaultSize
-
-    override private[ spark ] def asNullable = dt.asNullable
-}
-
-class KStructField(val getterName: String, val delegate: StructField) extends StructField {
-
-    override private[ sql ] def buildFormattedString(prefix: String, stringConcat: StringUtils.StringConcat, maxDepth: Int): Unit =
-        delegate.buildFormattedString(prefix, stringConcat, maxDepth)
-
-    override def toString(): String = delegate.toString()
-
-    override private[ sql ] def jsonValue = delegate.jsonValue
-
-    override def withComment(comment: String): StructField = delegate.withComment(comment)
-
-    override def getComment(): Option[ String ] = delegate.getComment()
-
-    override def toDDL: String = delegate.toDDL
-
-    override def productElement(n: Int): Any = delegate.productElement(n)
-
-    override def productArity: Int = delegate.productArity
-
-    override def productIterator: Iterator[ Any ] = delegate.productIterator
-
-    override def productPrefix: String = delegate.productPrefix
-
-    override val dataType: DataType = delegate.dataType
-
-    override def canEqual(that: Any): Boolean = delegate.canEqual(that)
-
-    override val metadata: Metadata = delegate.metadata
-    override val name: String = delegate.name
-    override val nullable: Boolean = delegate.nullable
-}
-
-object helpme {
-
-    def listToSeq(i: java.util.List[ _ ]): Seq[ _ ] = Seq(i.toArray: _*)
-}
\ No newline at end of file
diff --git a/core/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala b/core/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala
deleted file mode 100644
index 864fc5f7..00000000
--- a/core/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala
+++ /dev/null
@@ -1,493 +0,0 @@
-package org.apache.spark.sql.catalyst
-
-import kotlin.jvm.JvmClassMappingKt
-import kotlin.reflect.{KClass, KFunction, KProperty1}
-import kotlin.reflect.full.KClasses
-
-import java.lang.{Iterable => JavaIterable}
-import java.math.{BigDecimal => JavaBigDecimal}
-import java.math.{BigInteger => JavaBigInteger}
-import java.sql.{Date, Timestamp}
-import java.time.{Instant, LocalDate}
-import java.util.{Map => JavaMap}
-import javax.annotation.Nullable
-import scala.language.existentials
-import org.apache.spark.sql.Row
-import org.apache.spark.sql.catalyst.expressions._
-import org.apache.spark.sql.catalyst.util._
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.types._
-import org.apache.spark.unsafe.types.UTF8String
-
-/**
- * Functions to convert Scala types to Catalyst types and vice versa.
- */
-object CatalystTypeConverters {
-  // The Predef.Map is scala.collection.immutable.Map.
-  // Since the map values can be mutable, we explicitly import scala.collection.Map at here.
-
-  import scala.collection.Map
-
-  private[sql] def isPrimitive(dataType: DataType): Boolean = {
-    dataType match {
-      case BooleanType => true
-      case ByteType => true
-      case ShortType => true
-      case IntegerType => true
-      case LongType => true
-      case FloatType => true
-      case DoubleType => true
-      case _ => false
-    }
-  }
-
-  private def getConverterForType(dataType: DataType): CatalystTypeConverter[Any, Any, Any] = {
-    val converter = dataType match {
-      case udt: UserDefinedType[_] => UDTConverter(udt)
-      case arrayType: ArrayType => ArrayConverter(arrayType.elementType)
-      case mapType: MapType => MapConverter(mapType.keyType, mapType.valueType)
-      case structType: StructType => StructConverter(structType)
-      case StringType => StringConverter
-      case DateType if SQLConf.get.datetimeJava8ApiEnabled => LocalDateConverter
-      case DateType => DateConverter
-      case TimestampType if SQLConf.get.datetimeJava8ApiEnabled => InstantConverter
-      case TimestampType => TimestampConverter
-      case dt: DecimalType => new DecimalConverter(dt)
-      case BooleanType => BooleanConverter
-      case ByteType => ByteConverter
-      case ShortType => ShortConverter
-      case IntegerType => IntConverter
-      case LongType => LongConverter
-      case FloatType => FloatConverter
-      case DoubleType => DoubleConverter
-      case dataType: DataType => IdentityConverter(dataType)
-    }
-    converter.asInstanceOf[CatalystTypeConverter[Any, Any, Any]]
-  }
-
-  /**
-   * Converts a Scala type to its Catalyst equivalent (and vice versa).
-   *
-   * @tparam ScalaInputType  The type of Scala values that can be converted to Catalyst.
-   * @tparam ScalaOutputType The type of Scala values returned when converting Catalyst to Scala.
-   * @tparam CatalystType    The internal Catalyst type used to represent values of this Scala type.
-   */
-  private abstract class CatalystTypeConverter[ScalaInputType, ScalaOutputType, CatalystType]
-    extends Serializable {
-
-    /**
-     * Converts a Scala type to its Catalyst equivalent while automatically handling nulls
-     * and Options.
-     */
-    final def toCatalyst(@Nullable maybeScalaValue: Any): CatalystType = {
-      if (maybeScalaValue == null) {
-        null.asInstanceOf[CatalystType]
-      } else maybeScalaValue match {
-        case opt: Option[ScalaInputType] =>
-          if (opt.isDefined) {
-            toCatalystImpl(opt.get)
-          } else {
-            null.asInstanceOf[CatalystType]
-          }
-        case _ =>
-          toCatalystImpl(maybeScalaValue.asInstanceOf[ScalaInputType])
-      }
-    }
-
-    /**
-     * Given a Catalyst row, convert the value at column `column` to its Scala equivalent.
-     */
-    final def toScala(row: InternalRow, column: Int): ScalaOutputType = {
-      if (row.isNullAt(column)) null.asInstanceOf[ScalaOutputType] else toScalaImpl(row, column)
-    }
-
-    /**
-     * Convert a Catalyst value to its Scala equivalent.
-     */
-    def toScala(@Nullable catalystValue: CatalystType): ScalaOutputType
-
-    /**
-     * Converts a Scala value to its Catalyst equivalent.
-     *
-     * @param scalaValue the Scala value, guaranteed not to be null.
-     * @return the Catalyst value.
-     */
-    protected def toCatalystImpl(scalaValue: ScalaInputType): CatalystType
-
-    /**
-     * Given a Catalyst row, convert the value at column `column` to its Scala equivalent.
-     * This method will only be called on non-null columns.
-     */
-    protected def toScalaImpl(row: InternalRow, column: Int): ScalaOutputType
-  }
-
-  private case class IdentityConverter(dataType: DataType)
-    extends CatalystTypeConverter[Any, Any, Any] {
-    override def toCatalystImpl(scalaValue: Any): Any = scalaValue
-
-    override def toScala(catalystValue: Any): Any = catalystValue
-
-    override def toScalaImpl(row: InternalRow, column: Int): Any = row.get(column, dataType)
-  }
-
-  private case class UDTConverter[A >: Null](
-                                              udt: UserDefinedType[A]) extends CatalystTypeConverter[A, A, Any] {
-    // toCatalyst (it calls toCatalystImpl) will do null check.
-    override def toCatalystImpl(scalaValue: A): Any = udt.serialize(scalaValue)
-
-    override def toScala(catalystValue: Any): A = {
-      if (catalystValue == null) null else udt.deserialize(catalystValue)
-    }
-
-    override def toScalaImpl(row: InternalRow, column: Int): A =
-      toScala(row.get(column, udt.sqlType))
-  }
-
-  /** Converter for arrays, sequences, and Java iterables. */
-  private case class ArrayConverter(
-                                     elementType: DataType) extends CatalystTypeConverter[Any, Seq[Any], ArrayData] {
-
-    private[this] val elementConverter = getConverterForType(elementType)
-
-    override def toCatalystImpl(scalaValue: Any): ArrayData = {
-      scalaValue match {
-        case a: Array[_] =>
-          new GenericArrayData(a.map(elementConverter.toCatalyst))
-        case s: Seq[_] =>
-          new GenericArrayData(s.map(elementConverter.toCatalyst).toArray)
-        case i: JavaIterable[_] =>
-          val iter = i.iterator
-          val convertedIterable = scala.collection.mutable.ArrayBuffer.empty[Any]
-          while (iter.hasNext) {
-            val item = iter.next()
-            convertedIterable += elementConverter.toCatalyst(item)
-          }
-          new GenericArrayData(convertedIterable.toArray)
-        case other => throw new IllegalArgumentException(
-          s"The value (${other.toString}) of the type (${other.getClass.getCanonicalName}) "
-            + s"cannot be converted to an array of ${elementType.catalogString}")
-      }
-    }
-
-    override def toScala(catalystValue: ArrayData): Seq[Any] = {
-      if (catalystValue == null) {
-        null
-      } else if (isPrimitive(elementType)) {
-        catalystValue.toArray[Any](elementType)
-      } else {
-        val result = new Array[Any](catalystValue.numElements())
-        catalystValue.foreach(elementType, (i, e) => {
-          result(i) = elementConverter.toScala(e)
-        })
-        result
-      }
-    }
-
-    override def toScalaImpl(row: InternalRow, column: Int): Seq[Any] =
-      toScala(row.getArray(column))
-  }
-
-  private case class MapConverter(
-                                   keyType: DataType,
-                                   valueType: DataType)
-    extends CatalystTypeConverter[Any, Map[Any, Any], MapData] {
-
-    private[this] val keyConverter = getConverterForType(keyType)
-    private[this] val valueConverter = getConverterForType(valueType)
-
-    override def toCatalystImpl(scalaValue: Any): MapData = {
-      val keyFunction = (k: Any) => keyConverter.toCatalyst(k)
-      val valueFunction = (k: Any) => valueConverter.toCatalyst(k)
-
-      scalaValue match {
-        case map: Map[_, _] => ArrayBasedMapData(map, keyFunction, valueFunction)
-        case javaMap: JavaMap[_, _] => ArrayBasedMapData(javaMap, keyFunction, valueFunction)
-        case other => throw new IllegalArgumentException(
-          s"The value (${other.toString}) of the type (${other.getClass.getCanonicalName}) "
-            + "cannot be converted to a map type with "
-            + s"key type (${keyType.catalogString}) and value type (${valueType.catalogString})")
-      }
-    }
-
-    override def toScala(catalystValue: MapData): Map[Any, Any] = {
-      if (catalystValue == null) {
-        null
-      } else {
-        val keys = catalystValue.keyArray().toArray[Any](keyType)
-        val values = catalystValue.valueArray().toArray[Any](valueType)
-        val convertedKeys =
-          if (isPrimitive(keyType)) keys else keys.map(keyConverter.toScala)
-        val convertedValues =
-          if (isPrimitive(valueType)) values else values.map(valueConverter.toScala)
-
-        convertedKeys.zip(convertedValues).toMap
-      }
-    }
-
-    override def toScalaImpl(row: InternalRow, column: Int): Map[Any, Any] =
-      toScala(row.getMap(column))
-  }
-
-  private case class StructConverter(
-                                      structType: StructType) extends CatalystTypeConverter[Any, Row, InternalRow] {
-
-    private[this] val converters = structType.fields.map { f => getConverterForType(f.dataType) }
-
-    override def toCatalystImpl(scalaValue: Any): InternalRow = scalaValue match {
-      case row: Row =>
-        val ar = new Array[Any](row.size)
-        var idx = 0
-        while (idx < row.size) {
-          ar(idx) = converters(idx).toCatalyst(row(idx))
-          idx += 1
-        }
-        new GenericInternalRow(ar)
-
-      case p: Product =>
-        val ar = new Array[Any](structType.size)
-        val iter = p.productIterator
-        var idx = 0
-        while (idx < structType.size) {
-          ar(idx) = converters(idx).toCatalyst(iter.next())
-          idx += 1
-        }
-        new GenericInternalRow(ar)
-
-      case ktDataClass: Any if JvmClassMappingKt.getKotlinClass(ktDataClass.getClass).isData =>
-        import scala.collection.JavaConverters._
-        val klass: KClass[Any] = JvmClassMappingKt.getKotlinClass(ktDataClass.getClass).asInstanceOf[KClass[Any]]
-        val iter: Iterator[KProperty1[Any,_]] = KClasses.getDeclaredMemberProperties(klass).iterator().asScala
-        val ar = new Array[Any](structType.size)
-        var idx = 0
-        while (idx < structType.size) {
-          ar(idx) = converters(idx).toCatalyst(iter.next().get(ktDataClass))
-          idx += 1
-        }
-        new GenericInternalRow(ar)
-
-      case other => throw new IllegalArgumentException(
-        s"The value (${other.toString}) of the type (${other.getClass.getCanonicalName}) "
-          + s"cannot be converted to ${structType.catalogString}")
-    }
-
-    override def toScala(row: InternalRow): Row = {
-      if (row == null) {
-        null
-      } else {
-        val ar = new Array[Any](row.numFields)
-        var idx = 0
-        while (idx < row.numFields) {
-          ar(idx) = converters(idx).toScala(row, idx)
-          idx += 1
-        }
-        new GenericRowWithSchema(ar, structType)
-      }
-    }
-
-    override def toScalaImpl(row: InternalRow, column: Int): Row =
-      toScala(row.getStruct(column, structType.size))
-  }
-
-  private object StringConverter extends CatalystTypeConverter[Any, String, UTF8String] {
-    override def toCatalystImpl(scalaValue: Any): UTF8String = scalaValue match {
-      case str: String => UTF8String.fromString(str)
-      case utf8: UTF8String => utf8
-      case chr: Char => UTF8String.fromString(chr.toString)
-      case other => throw new IllegalArgumentException(
-        s"The value (${other.toString}) of the type (${other.getClass.getCanonicalName}) "
-          + s"cannot be converted to the string type")
-    }
-
-    override def toScala(catalystValue: UTF8String): String =
-      if (catalystValue == null) null else catalystValue.toString
-
-    override def toScalaImpl(row: InternalRow, column: Int): String =
-      row.getUTF8String(column).toString
-  }
-
-  private object DateConverter extends CatalystTypeConverter[Date, Date, Any] {
-    override def toCatalystImpl(scalaValue: Date): Int = DateTimeUtils.fromJavaDate(scalaValue)
-
-    override def toScala(catalystValue: Any): Date =
-      if (catalystValue == null) null else DateTimeUtils.toJavaDate(catalystValue.asInstanceOf[Int])
-
-    override def toScalaImpl(row: InternalRow, column: Int): Date =
-      DateTimeUtils.toJavaDate(row.getInt(column))
-  }
-
-  private object LocalDateConverter extends CatalystTypeConverter[LocalDate, LocalDate, Any] {
-    override def toCatalystImpl(scalaValue: LocalDate): Int = {
-      DateTimeUtils.localDateToDays(scalaValue)
-    }
-
-    override def toScala(catalystValue: Any): LocalDate = {
-      if (catalystValue == null) null
-      else DateTimeUtils.daysToLocalDate(catalystValue.asInstanceOf[Int])
-    }
-
-    override def toScalaImpl(row: InternalRow, column: Int): LocalDate =
-      DateTimeUtils.daysToLocalDate(row.getInt(column))
-  }
-
-  private object TimestampConverter extends CatalystTypeConverter[Timestamp, Timestamp, Any] {
-    override def toCatalystImpl(scalaValue: Timestamp): Long =
-      DateTimeUtils.fromJavaTimestamp(scalaValue)
-
-    override def toScala(catalystValue: Any): Timestamp =
-      if (catalystValue == null) null
-      else DateTimeUtils.toJavaTimestamp(catalystValue.asInstanceOf[Long])
-
-    override def toScalaImpl(row: InternalRow, column: Int): Timestamp =
-      DateTimeUtils.toJavaTimestamp(row.getLong(column))
-  }
-
-  private object InstantConverter extends CatalystTypeConverter[Instant, Instant, Any] {
-    override def toCatalystImpl(scalaValue: Instant): Long =
-      DateTimeUtils.instantToMicros(scalaValue)
-
-    override def toScala(catalystValue: Any): Instant =
-      if (catalystValue == null) null
-      else DateTimeUtils.microsToInstant(catalystValue.asInstanceOf[Long])
-
-    override def toScalaImpl(row: InternalRow, column: Int): Instant =
-      DateTimeUtils.microsToInstant(row.getLong(column))
-  }
-
-  private class DecimalConverter(dataType: DecimalType)
-    extends CatalystTypeConverter[Any, JavaBigDecimal, Decimal] {
-
-    private val nullOnOverflow = !SQLConf.get.ansiEnabled
-
-    override def toCatalystImpl(scalaValue: Any): Decimal = {
-      val decimal = scalaValue match {
-        case d: BigDecimal => Decimal(d)
-        case d: JavaBigDecimal => Decimal(d)
-        case d: JavaBigInteger => Decimal(d)
-        case d: Decimal => d
-        case other => throw new IllegalArgumentException(
-          s"The value (${other.toString}) of the type (${other.getClass.getCanonicalName}) "
-            + s"cannot be converted to ${dataType.catalogString}")
-      }
-      decimal.toPrecision(dataType.precision, dataType.scale, Decimal.ROUND_HALF_UP, nullOnOverflow)
-    }
-
-    override def toScala(catalystValue: Decimal): JavaBigDecimal = {
-      if (catalystValue == null) null
-      else catalystValue.toJavaBigDecimal
-    }
-
-    override def toScalaImpl(row: InternalRow, column: Int): JavaBigDecimal =
-      row.getDecimal(column, dataType.precision, dataType.scale).toJavaBigDecimal
-  }
-
-  private abstract class PrimitiveConverter[T] extends CatalystTypeConverter[T, Any, Any] {
-    final override def toScala(catalystValue: Any): Any = catalystValue
-
-    final override def toCatalystImpl(scalaValue: T): Any = scalaValue
-  }
-
-  private object BooleanConverter extends PrimitiveConverter[Boolean] {
-    override def toScalaImpl(row: InternalRow, column: Int): Boolean = row.getBoolean(column)
-  }
-
-  private object ByteConverter extends PrimitiveConverter[Byte] {
-    override def toScalaImpl(row: InternalRow, column: Int): Byte = row.getByte(column)
-  }
-
-  private object ShortConverter extends PrimitiveConverter[Short] {
-    override def toScalaImpl(row: InternalRow, column: Int): Short = row.getShort(column)
-  }
-
-  private object IntConverter extends PrimitiveConverter[Int] {
-    override def toScalaImpl(row: InternalRow, column: Int): Int = row.getInt(column)
-  }
-
-  private object LongConverter extends PrimitiveConverter[Long] {
-    override def toScalaImpl(row: InternalRow, column: Int): Long = row.getLong(column)
-  }
-
-  private object FloatConverter extends PrimitiveConverter[Float] {
-    override def toScalaImpl(row: InternalRow, column: Int): Float = row.getFloat(column)
-  }
-
-  private object DoubleConverter extends PrimitiveConverter[Double] {
-    override def toScalaImpl(row: InternalRow, column: Int): Double = row.getDouble(column)
-  }
-
-  /**
-   * Creates a converter function that will convert Scala objects to the specified Catalyst type.
-   * Typical use case would be converting a collection of rows that have the same schema. You will
-   * call this function once to get a converter, and apply it to every row.
-   */
-  def createToCatalystConverter(dataType: DataType): Any => Any = {
-    if (isPrimitive(dataType)) {
-      // Although the `else` branch here is capable of handling inbound conversion of primitives,
-      // we add some special-case handling for those types here. The motivation for this relates to
-      // Java method invocation costs: if we have rows that consist entirely of primitive columns,
-      // then returning the same conversion function for all of the columns means that the call site
-      // will be monomorphic instead of polymorphic. In microbenchmarks, this actually resulted in
-      // a measurable performance impact. Note that this optimization will be unnecessary if we
-      // use code generation to construct Scala Row -> Catalyst Row converters.
-      def convert(maybeScalaValue: Any): Any = {
-        maybeScalaValue match {
-          case option: Option[Any] =>
-            option.orNull
-          case _ =>
-            maybeScalaValue
-        }
-      }
-
-      convert
-    } else {
-      getConverterForType(dataType).toCatalyst
-    }
-  }
-
-  /**
-   * Creates a converter function that will convert Catalyst types to Scala type.
-   * Typical use case would be converting a collection of rows that have the same schema. You will
-   * call this function once to get a converter, and apply it to every row.
-   */
-  def createToScalaConverter(dataType: DataType): Any => Any = {
-    if (isPrimitive(dataType)) {
-      identity
-    } else {
-      getConverterForType(dataType).toScala
-    }
-  }
-
-  /**
-   * Converts Scala objects to Catalyst rows / types.
-   *
-   * Note: This should be called before do evaluation on Row
-   * (It does not support UDT)
-   * This is used to create an RDD or test results with correct types for Catalyst.
-   */
-  def convertToCatalyst(a: Any): Any = a match {
-    case s: String => StringConverter.toCatalyst(s)
-    case d: Date => DateConverter.toCatalyst(d)
-    case ld: LocalDate => LocalDateConverter.toCatalyst(ld)
-    case t: Timestamp => TimestampConverter.toCatalyst(t)
-    case i: Instant => InstantConverter.toCatalyst(i)
-    case d: BigDecimal => new DecimalConverter(DecimalType(d.precision, d.scale)).toCatalyst(d)
-    case d: JavaBigDecimal => new DecimalConverter(DecimalType(d.precision, d.scale)).toCatalyst(d)
-    case seq: Seq[Any] => new GenericArrayData(seq.map(convertToCatalyst).toArray)
-    case r: Row => InternalRow(r.toSeq.map(convertToCatalyst): _*)
-    case arr: Array[Any] => new GenericArrayData(arr.map(convertToCatalyst))
-    case map: Map[_, _] =>
-      ArrayBasedMapData(
-        map,
-        (key: Any) => convertToCatalyst(key),
-        (value: Any) => convertToCatalyst(value))
-    case other => other
-  }
-
-  /**
-   * Converts Catalyst types used internally in rows to standard Scala types
-   * This method is slow, and for batch conversion you should be using converter
-   * produced by createToScalaConverter.
-   */
-  def convertToScala(catalystValue: Any, dataType: DataType): Any = {
-    createToScalaConverter(dataType)(catalystValue)
-  }
-}
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index 95903f6b..c4f86f97 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -29,7 +29,10 @@ tasks.withType<Test>().configureEach {
 dependencies {
 
     with(Projects) {
-        api(scalaTuplesInKotlin)
+        api(
+            scalaHelpers,
+            scalaTuplesInKotlin
+        )
     }
 
     with(Dependencies) {
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index f557224b..c23345bc 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -35,6 +35,7 @@ import org.apache.spark.sql.catalyst.DefinedByConstructorParams
 import org.apache.spark.sql.catalyst.SerializerBuildHelper
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.EncoderField
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.ProductEncoder
 import org.apache.spark.sql.catalyst.encoders.OuterScopes
 import org.apache.spark.sql.catalyst.expressions.objects.Invoke
@@ -120,11 +121,6 @@ fun schema(kType: KType): DataType = kotlinEncoderFor<Any?>(kType).schema()
 
 object KotlinTypeInference {
 
-    // TODO this hack is a WIP and can give errors
-    // TODO it's to make data classes get column names like "age" with functions like "getAge"
-    // TODO instead of column names like "getAge"
-    var DO_NAME_HACK = false
-
     /**
      * @param kClass the class for which to infer the encoder.
      * @param arguments the generic type arguments for the class.
@@ -509,17 +505,18 @@ object KotlinTypeInference {
                         seenTypeSet = seenTypeSet + currentType,
                         typeVariables = typeVariables,
                     )
-                    val paramName = param.name!!
+
+                    val paramName = param.name
                     val readMethodName = prop.getter.javaMethod!!.name
                     val writeMethodName = (prop as? KMutableProperty<*>)?.setter?.javaMethod?.name
 
-                    DirtyProductEncoderField(
-                        doNameHack = DO_NAME_HACK,
-                        columnName = paramName,
-                        readMethodName = readMethodName,
-                        writeMethodName = writeMethodName,
-                        encoder = encoder,
-                        nullable = paramType.isMarkedNullable,
+                    EncoderField(
+                        /* name = */ readMethodName,
+                        /* enc = */ encoder,
+                        /* nullable = */ paramType.isMarkedNullable,
+                        /* metadata = */ Metadata.empty(),
+                        /* readMethod = */ readMethodName.toOption(),
+                        /* writeMethod = */ writeMethodName.toOption(),
                     )
                 }
                 ProductEncoder<Any>(
@@ -565,52 +562,4 @@ object KotlinTypeInference {
             else -> throw IllegalArgumentException("No encoder found for type $currentType")
         }
     }
-}
-
-internal open class DirtyProductEncoderField(
-    private val columnName: String, // the name used for the column
-    private val readMethodName: String, // the name of the method used to read the value
-    private val writeMethodName: String?,
-    private val doNameHack: Boolean,
-    encoder: AgnosticEncoder<*>,
-    nullable: Boolean,
-    metadata: Metadata = Metadata.empty(),
-) : AgnosticEncoders.EncoderField(
-    /* name = */ readMethodName,
-    /* enc = */ encoder,
-    /* nullable = */ nullable,
-    /* metadata = */ metadata,
-    /* readMethod = */ readMethodName.toOption(),
-    /* writeMethod = */ writeMethodName.toOption(),
-), Serializable {
-
-    private var noNameCalls = 0
-
-    /**
-     * This dirty trick only works because in [SerializerBuildHelper], [ProductEncoder]
-     * creates an [Invoke] using [name] first and then calls [name] again to retrieve
-     * the name of the column. This way, we can alternate between the two names.
-     */
-    override fun name(): String =
-        if (doNameHack && noNameCalls > 0) {
-            columnName
-        } else {
-            noNameCalls++
-            readMethodName
-        }
-
-    override fun canEqual(that: Any?): Boolean = that is AgnosticEncoders.EncoderField
-
-    override fun productElement(n: Int): Any =
-        when (n) {
-            0 -> readMethodName // so it doesn't affect name()
-            1 -> enc()
-            2 -> nullable()
-            3 -> metadata()
-            4 -> readMethod()
-            5 -> writeMethod()
-            else -> throw IndexOutOfBoundsException()
-        }
-
-    override fun productArity(): Int = 6
 }
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
index 2b96c586..873921f1 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
@@ -1,1690 +1,1690 @@
-///*-
-// * =LICENSE=
-// * Kotlin Spark API: API for Spark 3.2+ (Scala 2.12)
-// * ----------
-// * Copyright (C) 2019 - 2022 JetBrains
-// * ----------
-// * Licensed under the Apache License, Version 2.0 (the "License");
-// * you may not use this file except in compliance with the License.
-// * You may obtain a copy of the License at
-// *
-// *      http://www.apache.org/licenses/LICENSE-2.0
-// *
-// * Unless required by applicable law or agreed to in writing, software
-// * distributed under the License is distributed on an "AS IS" BASIS,
-// * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// * See the License for the specific language governing permissions and
-// * limitations under the License.
-// * =LICENSEEND=
-// */
-//@file:Suppress("DEPRECATION", "unused", "UNCHECKED_CAST")
-//
-//package org.jetbrains.kotlinx.spark.api
-//
-//
-//import org.apache.spark.sql.*
-//import org.jetbrains.kotlinx.spark.extensions.VarargUnwrapper
-//import org.apache.spark.sql.api.java.*
-//import org.apache.spark.sql.internal.SQLConf
-//import kotlin.reflect.*
-//import org.apache.spark.sql.expressions.UserDefinedFunction as SparkUserDefinedFunction
-//
-///**
-// * Instance of a UDF with vararg arguments of the same type.
-// * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
-// * Alternatively it can be registered for SQL calls using [register].
-// *
-// * @see org.apache.spark.sql.expressions.UserDefinedFunction
-// * @see NamedUserDefinedFunctionVararg
-// * @see udf
-// */
-//open class UserDefinedFunctionVararg<T, R>(
-//    override val udf: SparkUserDefinedFunction,
-//    override val encoder: Encoder<R>,
-//): UserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>> {
-//
-//    /**
-//     * Allows this UDF to be called in typed manner using columns in a [Dataset.selectTyped] call.
-//     * @see typedCol to create typed columns.
-//     * @see org.apache.spark.sql.expressions.UserDefinedFunction.apply
-//     */
-//    operator fun <DsType> invoke(vararg params: TypedColumn<DsType, T>): TypedColumn<DsType, R> = udf.apply(*params).`as`(encoder) as TypedColumn<DsType, R>
-//
-//    /** Returns named variant of this UDF. */
-//    override fun withName(name: String): NamedUserDefinedFunctionVararg<T, R> = NamedUserDefinedFunctionVararg(
-//        name = name,
-//        udf = udf,
-//        encoder = encoder,
-//    )
-//
-//    /**
-//     * Returns named variant of this UDF.
-//     * @see withName
-//     */
-//    override fun getValue(thisRef: Any?, property: KProperty<*>): NamedUserDefinedFunctionVararg<T, R> =
-//        withName(property.name)
-//}
-//
-///**
-// * Instance of a UDF with vararg arguments of the same type with name.
-// * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
-// * Alternatively it can be registered for SQL calls using [register].
-// *
-// * @see org.apache.spark.sql.expressions.UserDefinedFunction
-// * @see UserDefinedFunctionVararg
-// * @see udf
-// */
-//class NamedUserDefinedFunctionVararg<T, R>(
-//    override val name: String,
-//    udf: SparkUserDefinedFunction,
-//    encoder: Encoder<R>,
-//): NamedUserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>>,
-//    UserDefinedFunctionVararg<T, R>(udf = udf.withName(name), encoder = encoder)
-//
-//@PublishedApi
-//internal inline fun <R> withAllowUntypedScalaUDF(block: () -> R): R {
-//    val sqlConf = SQLConf.get()
-//    val confString = "spark.sql.legacy.allowUntypedScalaUDF"
-//    val prev = sqlConf.getConfString(confString, "false")
-//    sqlConf.setConfString(confString, "true")
-//    return try {
-//        block()
-//    } finally {
-//        sqlConf.setConfString(confString, prev)
-//    }
-//}
-//
-//
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: ByteArray -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: ByteArray -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargByte")
-//inline fun <reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<ByteArray, R>,
-//): NamedUserDefinedFunctionVararg<Byte, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: ByteArray -> ... }`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargByte")
-//inline fun <reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<ByteArray, R>,
-//): UserDefinedFunctionVararg<Byte, R> {
-//
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ByteArray(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: ByteArray -> ... }`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargByte")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<ByteArray, R>,
-//): NamedUserDefinedFunctionVararg<Byte, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargByte")
-//inline fun <reified R> udf(
-//    varargFunc: KProperty0<(ByteArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargByte")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(ByteArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargByte")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(ByteArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargByte")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(ByteArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargByte")
-//inline fun <reified R> udf(
-//    varargFunc: KFunction1<ByteArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargByte")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<ByteArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargByte")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<ByteArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargByte")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<ByteArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: ShortArray -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: ShortArray -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargShort")
-//inline fun <reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<ShortArray, R>,
-//): NamedUserDefinedFunctionVararg<Short, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: ShortArray -> ... }`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargShort")
-//inline fun <reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<ShortArray, R>,
-//): UserDefinedFunctionVararg<Short, R> {
-//
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ShortArray(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: ShortArray -> ... }`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargShort")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<ShortArray, R>,
-//): NamedUserDefinedFunctionVararg<Short, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargShort")
-//inline fun <reified R> udf(
-//    varargFunc: KProperty0<(ShortArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargShort")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(ShortArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargShort")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(ShortArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargShort")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(ShortArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargShort")
-//inline fun <reified R> udf(
-//    varargFunc: KFunction1<ShortArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargShort")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<ShortArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargShort")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<ShortArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargShort")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<ShortArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: IntArray -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: IntArray -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargInt")
-//inline fun <reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<IntArray, R>,
-//): NamedUserDefinedFunctionVararg<Int, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: IntArray -> ... }`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargInt")
-//inline fun <reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<IntArray, R>,
-//): UserDefinedFunctionVararg<Int, R> {
-//
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> IntArray(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: IntArray -> ... }`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargInt")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<IntArray, R>,
-//): NamedUserDefinedFunctionVararg<Int, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargInt")
-//inline fun <reified R> udf(
-//    varargFunc: KProperty0<(IntArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargInt")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(IntArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargInt")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(IntArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargInt")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(IntArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargInt")
-//inline fun <reified R> udf(
-//    varargFunc: KFunction1<IntArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargInt")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<IntArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargInt")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<IntArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargInt")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<IntArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: LongArray -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: LongArray -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargLong")
-//inline fun <reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<LongArray, R>,
-//): NamedUserDefinedFunctionVararg<Long, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: LongArray -> ... }`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargLong")
-//inline fun <reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<LongArray, R>,
-//): UserDefinedFunctionVararg<Long, R> {
-//
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> LongArray(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: LongArray -> ... }`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargLong")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<LongArray, R>,
-//): NamedUserDefinedFunctionVararg<Long, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargLong")
-//inline fun <reified R> udf(
-//    varargFunc: KProperty0<(LongArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargLong")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(LongArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargLong")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(LongArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargLong")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(LongArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargLong")
-//inline fun <reified R> udf(
-//    varargFunc: KFunction1<LongArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargLong")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<LongArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargLong")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<LongArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargLong")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<LongArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: FloatArray -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: FloatArray -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargFloat")
-//inline fun <reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<FloatArray, R>,
-//): NamedUserDefinedFunctionVararg<Float, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: FloatArray -> ... }`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargFloat")
-//inline fun <reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<FloatArray, R>,
-//): UserDefinedFunctionVararg<Float, R> {
-//
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> FloatArray(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: FloatArray -> ... }`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargFloat")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<FloatArray, R>,
-//): NamedUserDefinedFunctionVararg<Float, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargFloat")
-//inline fun <reified R> udf(
-//    varargFunc: KProperty0<(FloatArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargFloat")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(FloatArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargFloat")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(FloatArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargFloat")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(FloatArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargFloat")
-//inline fun <reified R> udf(
-//    varargFunc: KFunction1<FloatArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargFloat")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<FloatArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargFloat")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<FloatArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargFloat")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<FloatArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: DoubleArray -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: DoubleArray -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargDouble")
-//inline fun <reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<DoubleArray, R>,
-//): NamedUserDefinedFunctionVararg<Double, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: DoubleArray -> ... }`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargDouble")
-//inline fun <reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<DoubleArray, R>,
-//): UserDefinedFunctionVararg<Double, R> {
-//
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> DoubleArray(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: DoubleArray -> ... }`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargDouble")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<DoubleArray, R>,
-//): NamedUserDefinedFunctionVararg<Double, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargDouble")
-//inline fun <reified R> udf(
-//    varargFunc: KProperty0<(DoubleArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargDouble")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(DoubleArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargDouble")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(DoubleArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargDouble")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(DoubleArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargDouble")
-//inline fun <reified R> udf(
-//    varargFunc: KFunction1<DoubleArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargDouble")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<DoubleArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargDouble")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<DoubleArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargDouble")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<DoubleArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: BooleanArray -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: BooleanArray -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargBoolean")
-//inline fun <reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<BooleanArray, R>,
-//): NamedUserDefinedFunctionVararg<Boolean, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: BooleanArray -> ... }`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargBoolean")
-//inline fun <reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<BooleanArray, R>,
-//): UserDefinedFunctionVararg<Boolean, R> {
-//
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> BooleanArray(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: BooleanArray -> ... }`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargBoolean")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<BooleanArray, R>,
-//): NamedUserDefinedFunctionVararg<Boolean, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargBoolean")
-//inline fun <reified R> udf(
-//    varargFunc: KProperty0<(BooleanArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargBoolean")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(BooleanArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargBoolean")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(BooleanArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargBoolean")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(BooleanArray) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargBoolean")
-//inline fun <reified R> udf(
-//    varargFunc: KFunction1<BooleanArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargBoolean")
-//inline fun <reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<BooleanArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargBoolean")
-//inline fun <reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<BooleanArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargBoolean")
-//inline fun <reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<BooleanArray, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
-//
-//
-///**
-// * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf("myUdf") { t1: Array<T> -> ... }`
-// * Name can also be supplied using delegate: `val myUdf by udf { t1: Array<T> -> ... }`
-// * @see UserDefinedFunction.getValue
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargT")
-//inline fun <reified T, reified R> udf(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<Array<T>, R>,
-//): NamedUserDefinedFunctionVararg<T, R> =
-//    udf(nondeterministic, varargFunc).withName(name)
-//
-///**
-// * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf { t1: Array<T> -> ... }`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("udfVarargT")
-//inline fun <reified T, reified R> udf(
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<Array<T>, R>,
-//): UserDefinedFunctionVararg<T, R> {
-//    T::class.checkForValidType("T")
-//
-//    return withAllowUntypedScalaUDF {
-//        UserDefinedFunctionVararg(
-//            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> Array<T>(i, init::call) }, kotlinEncoderFor<R>().schema())
-//                .let { if (nondeterministic) it.asNondeterministic() else it }
-//                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
-//            encoder = kotlinEncoderFor<R>(),
-//        )
-//    }
-//}
-///**
-// * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
-// * For example: `val myUdf = udf.register("myUdf") { t1: Array<T> -> ... }`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param name The name for this UDF.
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @param varargFunc The function to convert to a UDF. Can be a lambda.
-// */
-//@JvmName("registerVarargT")
-//inline fun <reified T, reified R> UDFRegistration.register(
-//    name: String,
-//    nondeterministic: Boolean = false,
-//    varargFunc: UDF1<Array<T>, R>,
-//): NamedUserDefinedFunctionVararg<T, R> =
-//    register(udf(name, nondeterministic, varargFunc))
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargT")
-//inline fun <reified T, reified R> udf(
-//    varargFunc: KProperty0<(Array<T>) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargT")
-//inline fun <reified T, reified R> udf(
-//    name: String,
-//    varargFunc: KProperty0<(Array<T>) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc.get())
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargT")
-//inline fun <reified T, reified R> UDFRegistration.register(
-//    varargFunc: KProperty0<(Array<T>) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargT")
-//inline fun <reified T, reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KProperty0<(Array<T>) -> R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf(::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargT")
-//inline fun <reified T, reified R> udf(
-//    varargFunc: KFunction1<Array<T>, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
-//
-///**
-// * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("udfVarargT")
-//inline fun <reified T, reified R> udf(
-//    name: String,
-//    varargFunc: KFunction1<Array<T>, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc)
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
-// * For example: `val myUdf = udf.register(::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargT")
-//inline fun <reified T, reified R> UDFRegistration.register(
-//    varargFunc: KFunction1<Array<T>, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
-//
-///**
-// * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
-// * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
-// *
-// * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
-// *
-// * @param name Optional. Name for the UDF.
-// * @param varargFunc function reference
-// * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
-// * @see udf
-// */
-//@JvmName("registerVarargT")
-//inline fun <reified T, reified R> UDFRegistration.register(
-//    name: String,
-//    varargFunc: KFunction1<Array<T>, R>,
-//    nondeterministic: Boolean = false,
-//): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
-//
+/*-
+ * =LICENSE=
+ * Kotlin Spark API: API for Spark 3.2+ (Scala 2.12)
+ * ----------
+ * Copyright (C) 2019 - 2022 JetBrains
+ * ----------
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =LICENSEEND=
+ */
+@file:Suppress("DEPRECATION", "unused", "UNCHECKED_CAST")
+
+package org.jetbrains.kotlinx.spark.api
+
+
+import org.apache.spark.sql.*
+import org.jetbrains.kotlinx.spark.extensions.VarargUnwrapper
+import org.apache.spark.sql.api.java.*
+import org.apache.spark.sql.internal.SQLConf
+import kotlin.reflect.*
+import org.apache.spark.sql.expressions.UserDefinedFunction as SparkUserDefinedFunction
+
+/**
+ * Instance of a UDF with vararg arguments of the same type.
+ * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
+ * Alternatively it can be registered for SQL calls using [register].
+ *
+ * @see org.apache.spark.sql.expressions.UserDefinedFunction
+ * @see NamedUserDefinedFunctionVararg
+ * @see udf
+ */
+open class UserDefinedFunctionVararg<T, R>(
+    override val udf: SparkUserDefinedFunction,
+    override val encoder: Encoder<R>,
+): UserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>> {
+
+    /**
+     * Allows this UDF to be called in typed manner using columns in a [Dataset.selectTyped] call.
+     * @see typedCol to create typed columns.
+     * @see org.apache.spark.sql.expressions.UserDefinedFunction.apply
+     */
+    operator fun <DsType> invoke(vararg params: TypedColumn<DsType, T>): TypedColumn<DsType, R> = udf.apply(*params).`as`(encoder) as TypedColumn<DsType, R>
+
+    /** Returns named variant of this UDF. */
+    override fun withName(name: String): NamedUserDefinedFunctionVararg<T, R> = NamedUserDefinedFunctionVararg(
+        name = name,
+        udf = udf,
+        encoder = encoder,
+    )
+
+    /**
+     * Returns named variant of this UDF.
+     * @see withName
+     */
+    override fun getValue(thisRef: Any?, property: KProperty<*>): NamedUserDefinedFunctionVararg<T, R> =
+        withName(property.name)
+}
+
+/**
+ * Instance of a UDF with vararg arguments of the same type with name.
+ * This UDF can be invoked with (typed) columns in a [Dataset.select] or [selectTyped] call.
+ * Alternatively it can be registered for SQL calls using [register].
+ *
+ * @see org.apache.spark.sql.expressions.UserDefinedFunction
+ * @see UserDefinedFunctionVararg
+ * @see udf
+ */
+class NamedUserDefinedFunctionVararg<T, R>(
+    override val name: String,
+    udf: SparkUserDefinedFunction,
+    encoder: Encoder<R>,
+): NamedUserDefinedFunction<R, NamedUserDefinedFunctionVararg<T, R>>,
+    UserDefinedFunctionVararg<T, R>(udf = udf.withName(name), encoder = encoder)
+
+@PublishedApi
+internal inline fun <R> withAllowUntypedScalaUDF(block: () -> R): R {
+    val sqlConf = SQLConf.get()
+    val confString = "spark.sql.legacy.allowUntypedScalaUDF"
+    val prev = sqlConf.getConfString(confString, "false")
+    sqlConf.setConfString(confString, "true")
+    return try {
+        block()
+    } finally {
+        sqlConf.setConfString(confString, prev)
+    }
+}
+
+
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: ByteArray -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: ByteArray -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargByte")
+inline fun <reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<ByteArray, R>,
+): NamedUserDefinedFunctionVararg<Byte, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: ByteArray -> ... }`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargByte")
+inline fun <reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<ByteArray, R>,
+): UserDefinedFunctionVararg<Byte, R> {
+
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ByteArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: ByteArray -> ... }`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargByte")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<ByteArray, R>,
+): NamedUserDefinedFunctionVararg<Byte, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargByte")
+inline fun <reified R> udf(
+    varargFunc: KProperty0<(ByteArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargByte")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(ByteArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargByte")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(ByteArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargByte")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(ByteArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargByte")
+inline fun <reified R> udf(
+    varargFunc: KFunction1<ByteArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargByte")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KFunction1<ByteArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargByte")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KFunction1<ByteArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ByteArray instead, use WrappedArray<Byte>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargByte")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<ByteArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Byte, R> = register(udf(name, varargFunc, nondeterministic))
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: ShortArray -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: ShortArray -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargShort")
+inline fun <reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<ShortArray, R>,
+): NamedUserDefinedFunctionVararg<Short, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: ShortArray -> ... }`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargShort")
+inline fun <reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<ShortArray, R>,
+): UserDefinedFunctionVararg<Short, R> {
+
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ShortArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: ShortArray -> ... }`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargShort")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<ShortArray, R>,
+): NamedUserDefinedFunctionVararg<Short, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargShort")
+inline fun <reified R> udf(
+    varargFunc: KProperty0<(ShortArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargShort")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(ShortArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargShort")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(ShortArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargShort")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(ShortArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargShort")
+inline fun <reified R> udf(
+    varargFunc: KFunction1<ShortArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargShort")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KFunction1<ShortArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargShort")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KFunction1<ShortArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an ShortArray instead, use WrappedArray<Short>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargShort")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<ShortArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Short, R> = register(udf(name, varargFunc, nondeterministic))
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: IntArray -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: IntArray -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargInt")
+inline fun <reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<IntArray, R>,
+): NamedUserDefinedFunctionVararg<Int, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: IntArray -> ... }`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargInt")
+inline fun <reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<IntArray, R>,
+): UserDefinedFunctionVararg<Int, R> {
+
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> IntArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: IntArray -> ... }`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargInt")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<IntArray, R>,
+): NamedUserDefinedFunctionVararg<Int, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargInt")
+inline fun <reified R> udf(
+    varargFunc: KProperty0<(IntArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargInt")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(IntArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargInt")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(IntArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargInt")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(IntArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargInt")
+inline fun <reified R> udf(
+    varargFunc: KFunction1<IntArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargInt")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KFunction1<IntArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargInt")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KFunction1<IntArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an IntArray instead, use WrappedArray<Int>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargInt")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<IntArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Int, R> = register(udf(name, varargFunc, nondeterministic))
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: LongArray -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: LongArray -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargLong")
+inline fun <reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<LongArray, R>,
+): NamedUserDefinedFunctionVararg<Long, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: LongArray -> ... }`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargLong")
+inline fun <reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<LongArray, R>,
+): UserDefinedFunctionVararg<Long, R> {
+
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> LongArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: LongArray -> ... }`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargLong")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<LongArray, R>,
+): NamedUserDefinedFunctionVararg<Long, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargLong")
+inline fun <reified R> udf(
+    varargFunc: KProperty0<(LongArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargLong")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(LongArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargLong")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(LongArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargLong")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(LongArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargLong")
+inline fun <reified R> udf(
+    varargFunc: KFunction1<LongArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargLong")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KFunction1<LongArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargLong")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KFunction1<LongArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an LongArray instead, use WrappedArray<Long>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargLong")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<LongArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Long, R> = register(udf(name, varargFunc, nondeterministic))
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: FloatArray -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: FloatArray -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargFloat")
+inline fun <reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<FloatArray, R>,
+): NamedUserDefinedFunctionVararg<Float, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: FloatArray -> ... }`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargFloat")
+inline fun <reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<FloatArray, R>,
+): UserDefinedFunctionVararg<Float, R> {
+
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> FloatArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: FloatArray -> ... }`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargFloat")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<FloatArray, R>,
+): NamedUserDefinedFunctionVararg<Float, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargFloat")
+inline fun <reified R> udf(
+    varargFunc: KProperty0<(FloatArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargFloat")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(FloatArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargFloat")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(FloatArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargFloat")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(FloatArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargFloat")
+inline fun <reified R> udf(
+    varargFunc: KFunction1<FloatArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargFloat")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KFunction1<FloatArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargFloat")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KFunction1<FloatArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an FloatArray instead, use WrappedArray<Float>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargFloat")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<FloatArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Float, R> = register(udf(name, varargFunc, nondeterministic))
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: DoubleArray -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: DoubleArray -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargDouble")
+inline fun <reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<DoubleArray, R>,
+): NamedUserDefinedFunctionVararg<Double, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: DoubleArray -> ... }`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargDouble")
+inline fun <reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<DoubleArray, R>,
+): UserDefinedFunctionVararg<Double, R> {
+
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> DoubleArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: DoubleArray -> ... }`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargDouble")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<DoubleArray, R>,
+): NamedUserDefinedFunctionVararg<Double, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargDouble")
+inline fun <reified R> udf(
+    varargFunc: KProperty0<(DoubleArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargDouble")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(DoubleArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargDouble")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(DoubleArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargDouble")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(DoubleArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargDouble")
+inline fun <reified R> udf(
+    varargFunc: KFunction1<DoubleArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargDouble")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KFunction1<DoubleArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargDouble")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KFunction1<DoubleArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an DoubleArray instead, use WrappedArray<Double>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargDouble")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<DoubleArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Double, R> = register(udf(name, varargFunc, nondeterministic))
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: BooleanArray -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: BooleanArray -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargBoolean")
+inline fun <reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<BooleanArray, R>,
+): NamedUserDefinedFunctionVararg<Boolean, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: BooleanArray -> ... }`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargBoolean")
+inline fun <reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<BooleanArray, R>,
+): UserDefinedFunctionVararg<Boolean, R> {
+
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> BooleanArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: BooleanArray -> ... }`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargBoolean")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<BooleanArray, R>,
+): NamedUserDefinedFunctionVararg<Boolean, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargBoolean")
+inline fun <reified R> udf(
+    varargFunc: KProperty0<(BooleanArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargBoolean")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(BooleanArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargBoolean")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(BooleanArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargBoolean")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(BooleanArray) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargBoolean")
+inline fun <reified R> udf(
+    varargFunc: KFunction1<BooleanArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargBoolean")
+inline fun <reified R> udf(
+    name: String,
+    varargFunc: KFunction1<BooleanArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargBoolean")
+inline fun <reified R> UDFRegistration.register(
+    varargFunc: KFunction1<BooleanArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an BooleanArray instead, use WrappedArray<Boolean>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargBoolean")
+inline fun <reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<BooleanArray, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<Boolean, R> = register(udf(name, varargFunc, nondeterministic))
+
+
+/**
+ * Defines a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf("myUdf") { t1: Array<T> -> ... }`
+ * Name can also be supplied using delegate: `val myUdf by udf { t1: Array<T> -> ... }`
+ * @see UserDefinedFunction.getValue
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargT")
+inline fun <reified T, reified R> udf(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<Array<T>, R>,
+): NamedUserDefinedFunctionVararg<T, R> =
+    udf(nondeterministic, varargFunc).withName(name)
+
+/**
+ * Defines a vararg UDF ([UserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf { t1: Array<T> -> ... }`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("udfVarargT")
+inline fun <reified T, reified R> udf(
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<Array<T>, R>,
+): UserDefinedFunctionVararg<T, R> {
+    T::class.checkForValidType("T")
+
+    return withAllowUntypedScalaUDF {
+        UserDefinedFunctionVararg(
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> Array<T>(i, init::call) }, kotlinEncoderFor<R>().schema())
+                .let { if (nondeterministic) it.asNondeterministic() else it }
+                .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
+            encoder = kotlinEncoderFor<R>(),
+        )
+    }
+}
+/**
+ * Defines and registers a named vararg UDF ([NamedUserDefinedFunctionVararg]) instance based on the (lambda) function [varargFunc].
+ * For example: `val myUdf = udf.register("myUdf") { t1: Array<T> -> ... }`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param name The name for this UDF.
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @param varargFunc The function to convert to a UDF. Can be a lambda.
+ */
+@JvmName("registerVarargT")
+inline fun <reified T, reified R> UDFRegistration.register(
+    name: String,
+    nondeterministic: Boolean = false,
+    varargFunc: UDF1<Array<T>, R>,
+): NamedUserDefinedFunctionVararg<T, R> =
+    register(udf(name, nondeterministic, varargFunc))
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargT")
+inline fun <reified T, reified R> udf(
+    varargFunc: KProperty0<(Array<T>) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargT")
+inline fun <reified T, reified R> udf(
+    name: String,
+    varargFunc: KProperty0<(Array<T>) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc.get())
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargT")
+inline fun <reified T, reified R> UDFRegistration.register(
+    varargFunc: KProperty0<(Array<T>) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargT")
+inline fun <reified T, reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KProperty0<(Array<T>) -> R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf(::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargT")
+inline fun <reified T, reified R> udf(
+    varargFunc: KFunction1<Array<T>, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = udf(varargFunc.name, varargFunc, nondeterministic)
+
+/**
+ * Creates a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("udfVarargT")
+inline fun <reified T, reified R> udf(
+    name: String,
+    varargFunc: KFunction1<Array<T>, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = udf(name, nondeterministic, varargFunc)
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference adapting its name by reflection.
+ * For example: `val myUdf = udf.register(::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargT")
+inline fun <reified T, reified R> UDFRegistration.register(
+    varargFunc: KFunction1<Array<T>, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = register(udf(varargFunc, nondeterministic))
+
+/**
+ * Creates and registers a vararg UDF ([NamedUserDefinedFunctionVararg]) from a function reference.
+ * For example: `val myUdf = udf.register("myFunction", ::myFunction)`
+ *
+ * If you want to process a column containing an Array<T> instead, use WrappedArray<T>.
+ *
+ * @param name Optional. Name for the UDF.
+ * @param varargFunc function reference
+ * @param nondeterministic Optional. If true, sets the UserDefinedFunction as nondeterministic.
+ * @see udf
+ */
+@JvmName("registerVarargT")
+inline fun <reified T, reified R> UDFRegistration.register(
+    name: String,
+    varargFunc: KFunction1<Array<T>, R>,
+    nondeterministic: Boolean = false,
+): NamedUserDefinedFunctionVararg<T, R> = register(udf(name, varargFunc, nondeterministic))
+
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
index ad390a1a..3b19a224 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
@@ -211,8 +211,6 @@ class EncodingTest : ShouldSpec({
         withSpark(props = mapOf("spark.sql.codegen.comments" to true)) {
 
             context("Give proper names to columns of data classes") {
-                val old = KotlinTypeInference.DO_NAME_HACK
-                KotlinTypeInference.DO_NAME_HACK = true
 
                 should("Be able to serialize pairs") {
                     val pairs = listOf(
@@ -375,8 +373,6 @@ class EncodingTest : ShouldSpec({
                     }
                     dataset.collectAsList() shouldBe pairs
                 }
-
-                KotlinTypeInference.DO_NAME_HACK = old
             }
 
             should("handle Scala Case class datasets") {
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
index 2893acf8..0f93d7cd 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
@@ -648,617 +648,617 @@ class UDFTest : ShouldSpec({
 
     }
 
-//    context("vararg UDF tests") {
-//        fun firstByte(vararg a: Byte) = a.firstOrNull()
-//        fun firstShort(vararg a: Short) = a.firstOrNull()
-//        fun firstInt(vararg a: Int) = a.firstOrNull()
-//        fun firstLong(vararg a: Long) = a.firstOrNull()
-//        fun firstFloat(vararg a: Float) = a.firstOrNull()
-//        fun firstDouble(vararg a: Double) = a.firstOrNull()
-//        fun firstBoolean(vararg a: Boolean) = a.firstOrNull()
-//        fun firstString(vararg a: String) = a.firstOrNull()
-//
-//
-//        context("Creating Vararg UDF") {
-//            withSpark(logLevel = SparkLogLevel.DEBUG) {
-//
-//                should("Create Byte vararg udf") {
-//                    udf(::firstByte).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-//                        it.name shouldBe "firstByte"
-//                    }
-//                    udf("test", ::firstByte).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstByteVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-//                        it.name shouldBe "firstByteVal"
-//                    }
-//                    udf("test", ::firstByteVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: ByteArray -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<Byte, Byte?>>()
-//                    }
-//                    udf("test") { a: ByteArray -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//
-//                should("Create Short vararg udf") {
-//                    udf(::firstShort).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-//                        it.name shouldBe "firstShort"
-//                    }
-//                    udf("test", ::firstShort).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstShortVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-//                        it.name shouldBe "firstShortVal"
-//                    }
-//                    udf("test", ::firstShortVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: ShortArray -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<Short, Short?>>()
-//                    }
-//                    udf("test") { a: ShortArray -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//
-//                should("Create Int vararg udf") {
-//                    udf(::firstInt).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-//                        it.name shouldBe "firstInt"
-//                    }
-//                    udf("test", ::firstInt).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstIntVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-//                        it.name shouldBe "firstIntVal"
-//                    }
-//                    udf("test", ::firstIntVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: IntArray -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<Int, Int?>>()
-//                    }
-//                    udf("test") { a: IntArray -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//
-//                should("Create Long vararg udf") {
-//                    udf(::firstLong).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-//                        it.name shouldBe "firstLong"
-//                    }
-//                    udf("test", ::firstLong).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstLongVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-//                        it.name shouldBe "firstLongVal"
-//                    }
-//                    udf("test", ::firstLongVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: LongArray -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<Long, Long?>>()
-//                    }
-//                    udf("test") { a: LongArray -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//
-//                should("Create Float vararg udf") {
-//                    udf(::firstFloat).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-//                        it.name shouldBe "firstFloat"
-//                    }
-//                    udf("test", ::firstFloat).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstFloatVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-//                        it.name shouldBe "firstFloatVal"
-//                    }
-//                    udf("test", ::firstFloatVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: FloatArray -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<Float, Float?>>()
-//                    }
-//                    udf("test") { a: FloatArray -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//
-//                should("Create Double vararg udf") {
-//                    udf(::firstDouble).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-//                        it.name shouldBe "firstDouble"
-//                    }
-//                    udf("test", ::firstDouble).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstDoubleVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-//                        it.name shouldBe "firstDoubleVal"
-//                    }
-//                    udf("test", ::firstDoubleVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: DoubleArray -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<Double, Double?>>()
-//                    }
-//                    udf("test") { a: DoubleArray -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//
-//                should("Create Boolean vararg udf") {
-//                    udf(::firstBoolean).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-//                        it.name shouldBe "firstBoolean"
-//                    }
-//                    udf("test", ::firstBoolean).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstBooleanVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-//                        it.name shouldBe "firstBooleanVal"
-//                    }
-//                    udf("test", ::firstBooleanVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: BooleanArray -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<Boolean, Boolean?>>()
-//                    }
-//                    udf("test") { a: BooleanArray -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//
-//                should("Create Any vararg udf") {
-//                    udf(::firstString).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-//                        it.name shouldBe "firstString"
-//                    }
-//                    udf("test", ::firstString).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf(::firstStringVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-//                        it.name shouldBe "firstStringVal"
-//                    }
-//                    udf("test", ::firstStringVal).let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                    udf { a: Array<String> -> a.firstOrNull() }.let {
-//                        it should beOfType<UserDefinedFunctionVararg<String, String?>>()
-//                    }
-//                    udf("test") { a: Array<String> -> a.firstOrNull() }.let {
-//                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
-//                        it.name shouldBe "test"
-//                    }
-//                }
-//            }
-//        }
-//
-//        context("Call vararg udf from sql") {
-//            withSpark(logLevel = SparkLogLevel.DEBUG) {
-//                should("with Bytes") {
-//                    val value = 1.toByte()
-//                    udf.register(::firstByte)
-//
-//                    spark.sql("select firstByte()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<Byte?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstByte(" + values.joinToString() + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<Byte?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstByte(" + values.joinToString() + ")")
-//                    }
-//                }
-//
-//                should("with Shorts") {
-//                    val value = 1.toShort()
-//                    udf.register(::firstShort)
-//
-//                    spark.sql("select firstShort()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<Short?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstShort(" + values.joinToString() + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<Short?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstShort(" + values.joinToString() + ")")
-//                    }
-//                }
-//
-//                should("with Ints") {
-//                    val value = 1
-//                    udf.register(::firstInt)
-//
-//                    spark.sql("select firstInt()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<Int?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstInt(" + values.joinToString() + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<Int?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstInt(" + values.joinToString() + ")")
-//                    }
-//                }
-//
-//                should("with Longs") {
-//                    val value = 1L
-//                    udf.register(::firstLong)
-//
-//                    spark.sql("select firstLong()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<Long?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstLong(" + values.joinToString() + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<Long?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstLong(" + values.joinToString() + ")")
-//                    }
-//                }
-//
-//                should("with Floats") {
-//                    val value = 1f
-//                    udf.register(::firstFloat)
-//
-//                    spark.sql("select firstFloat()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<Float?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstFloat(" + values.joinToString() + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<Float?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstFloat(" + values.joinToString() + ")")
-//                    }
-//                }
-//
-//                should("with Doubles") {
-//                    val value = 1.0
-//                    udf.register(::firstDouble)
-//
-//                    spark.sql("select firstDouble()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<Double?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstDouble(" + values.joinToString() + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<Double?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstDouble(" + values.joinToString() + ")")
-//                    }
-//                }
-//
-//                should("with Booleans") {
-//                    val value = true
-//                    udf.register(::firstBoolean)
-//
-//                    spark.sql("select firstBoolean()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<Boolean?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<Boolean?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
-//                    }
-//                }
-//
-//                should("with Anys") {
-//                    val value = "test"
-//                    udf.register(::firstString)
-//
-//                    spark.sql("select firstString()")
-//                        .collectAsList()
-//                        .single()
-//                        .getAs<String?>(0) shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { value }
-//                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
-//                            .collectAsList()
-//                            .single()
-//                            .getAs<String?>(0) shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { value }
-//                    shouldThrow<scala.MatchError> {
-//                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
-//                    }
-//                }
-//
-//
-//            }
-//        }
-//
-//        context("Call vararg udf from dataset select") {
-//            withSpark(logLevel = SparkLogLevel.DEBUG) {
-//                should("with Bytes") {
-//                    val value = 1.toByte()
-//                    val ds = dsOf(value)
-//
-//                    val firstByte = udf.register(::firstByte)
-//
-//                    ds.select(firstByte())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstByte(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstByte(*values))
-//                    }
-//                }
-//
-//                should("with Shorts") {
-//                    val value = 1.toShort()
-//                    val ds = dsOf(value)
-//
-//                    val firstShort = udf.register(::firstShort)
-//
-//                    ds.select(firstShort())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstShort(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstShort(*values))
-//                    }
-//                }
-//
-//                should("with Ints") {
-//                    val value = 1
-//                    val ds = dsOf(value)
-//
-//                    val firstInt = udf.register(::firstInt)
-//
-//                    ds.select(firstInt())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstInt(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstInt(*values))
-//                    }
-//                }
-//
-//                should("with Longs") {
-//                    val value = 1L
-//                    val ds = dsOf(value)
-//
-//                    val firstLong = udf.register(::firstLong)
-//
-//                    ds.select(firstLong())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstLong(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstLong(*values))
-//                    }
-//                }
-//
-//                should("with Floats") {
-//                    val value = 1f
-//                    val ds = dsOf(value)
-//
-//                    val firstFloat = udf.register(::firstFloat)
-//
-//                    ds.select(firstFloat())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstFloat(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstFloat(*values))
-//                    }
-//                }
-//
-//                should("with Doubles") {
-//                    val value = 1.0
-//                    val ds = dsOf(value)
-//
-//                    val firstDouble = udf.register(::firstDouble)
-//
-//                    ds.select(firstDouble())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstDouble(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstDouble(*values))
-//                    }
-//                }
-//
-//                should("with Booleans") {
-//                    val value = true
-//                    val ds = dsOf(value)
-//
-//                    val firstBoolean = udf.register(::firstBoolean)
-//
-//                    ds.select(firstBoolean())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstBoolean(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstBoolean(*values))
-//                    }
-//                }
-//
-//                should("with Anys") {
-//                    val value = "test"
-//                    val ds = dsOf(value)
-//
-//                    val firstString = udf.register(::firstString)
-//
-//                    ds.select(firstString())
-//                        .collectAsList()
-//                        .single() shouldBe null
-//
-//                    (1..22).forEach { nr ->
-//                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
-//
-//                        ds.select(firstString(*values))
-//                            .collectAsList()
-//                            .single() shouldBe value
-//                    }
-//
-//                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
-//                    shouldThrow<scala.MatchError> {
-//                        ds.select(firstString(*values))
-//                    }
-//                }
-//            }
-//        }
-//
-//    }
+    context("vararg UDF tests") {
+        fun firstByte(vararg a: Byte) = a.firstOrNull()
+        fun firstShort(vararg a: Short) = a.firstOrNull()
+        fun firstInt(vararg a: Int) = a.firstOrNull()
+        fun firstLong(vararg a: Long) = a.firstOrNull()
+        fun firstFloat(vararg a: Float) = a.firstOrNull()
+        fun firstDouble(vararg a: Double) = a.firstOrNull()
+        fun firstBoolean(vararg a: Boolean) = a.firstOrNull()
+        fun firstString(vararg a: String) = a.firstOrNull()
+
+
+        context("Creating Vararg UDF") {
+            withSpark(logLevel = SparkLogLevel.DEBUG) {
+
+                should("Create Byte vararg udf") {
+                    udf(::firstByte).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+                        it.name shouldBe "firstByte"
+                    }
+                    udf("test", ::firstByte).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstByteVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+                        it.name shouldBe "firstByteVal"
+                    }
+                    udf("test", ::firstByteVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: ByteArray -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<Byte, Byte?>>()
+                    }
+                    udf("test") { a: ByteArray -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Byte, Byte?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+
+                should("Create Short vararg udf") {
+                    udf(::firstShort).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+                        it.name shouldBe "firstShort"
+                    }
+                    udf("test", ::firstShort).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstShortVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+                        it.name shouldBe "firstShortVal"
+                    }
+                    udf("test", ::firstShortVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: ShortArray -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<Short, Short?>>()
+                    }
+                    udf("test") { a: ShortArray -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Short, Short?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+
+                should("Create Int vararg udf") {
+                    udf(::firstInt).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+                        it.name shouldBe "firstInt"
+                    }
+                    udf("test", ::firstInt).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstIntVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+                        it.name shouldBe "firstIntVal"
+                    }
+                    udf("test", ::firstIntVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: IntArray -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<Int, Int?>>()
+                    }
+                    udf("test") { a: IntArray -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Int, Int?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+
+                should("Create Long vararg udf") {
+                    udf(::firstLong).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+                        it.name shouldBe "firstLong"
+                    }
+                    udf("test", ::firstLong).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstLongVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+                        it.name shouldBe "firstLongVal"
+                    }
+                    udf("test", ::firstLongVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: LongArray -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<Long, Long?>>()
+                    }
+                    udf("test") { a: LongArray -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Long, Long?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+
+                should("Create Float vararg udf") {
+                    udf(::firstFloat).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+                        it.name shouldBe "firstFloat"
+                    }
+                    udf("test", ::firstFloat).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstFloatVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+                        it.name shouldBe "firstFloatVal"
+                    }
+                    udf("test", ::firstFloatVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: FloatArray -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<Float, Float?>>()
+                    }
+                    udf("test") { a: FloatArray -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Float, Float?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+
+                should("Create Double vararg udf") {
+                    udf(::firstDouble).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+                        it.name shouldBe "firstDouble"
+                    }
+                    udf("test", ::firstDouble).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstDoubleVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+                        it.name shouldBe "firstDoubleVal"
+                    }
+                    udf("test", ::firstDoubleVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: DoubleArray -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<Double, Double?>>()
+                    }
+                    udf("test") { a: DoubleArray -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Double, Double?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+
+                should("Create Boolean vararg udf") {
+                    udf(::firstBoolean).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+                        it.name shouldBe "firstBoolean"
+                    }
+                    udf("test", ::firstBoolean).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstBooleanVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+                        it.name shouldBe "firstBooleanVal"
+                    }
+                    udf("test", ::firstBooleanVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: BooleanArray -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<Boolean, Boolean?>>()
+                    }
+                    udf("test") { a: BooleanArray -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<Boolean, Boolean?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+
+                should("Create Any vararg udf") {
+                    udf(::firstString).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+                        it.name shouldBe "firstString"
+                    }
+                    udf("test", ::firstString).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf(::firstStringVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+                        it.name shouldBe "firstStringVal"
+                    }
+                    udf("test", ::firstStringVal).let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+                        it.name shouldBe "test"
+                    }
+                    udf { a: Array<String> -> a.firstOrNull() }.let {
+                        it should beOfType<UserDefinedFunctionVararg<String, String?>>()
+                    }
+                    udf("test") { a: Array<String> -> a.firstOrNull() }.let {
+                        it should beOfType<NamedUserDefinedFunctionVararg<String, String?>>()
+                        it.name shouldBe "test"
+                    }
+                }
+            }
+        }
+
+        context("Call vararg udf from sql") {
+            withSpark(logLevel = SparkLogLevel.DEBUG) {
+                should("with Bytes") {
+                    val value = 1.toByte()
+                    udf.register(::firstByte)
+
+                    spark.sql("select firstByte()")
+                        .collectAsList()
+                        .single()
+                        .getAs<Byte?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstByte(" + values.joinToString() + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<Byte?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstByte(" + values.joinToString() + ")")
+                    }
+                }
+
+                should("with Shorts") {
+                    val value = 1.toShort()
+                    udf.register(::firstShort)
+
+                    spark.sql("select firstShort()")
+                        .collectAsList()
+                        .single()
+                        .getAs<Short?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstShort(" + values.joinToString() + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<Short?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstShort(" + values.joinToString() + ")")
+                    }
+                }
+
+                should("with Ints") {
+                    val value = 1
+                    udf.register(::firstInt)
+
+                    spark.sql("select firstInt()")
+                        .collectAsList()
+                        .single()
+                        .getAs<Int?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstInt(" + values.joinToString() + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<Int?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstInt(" + values.joinToString() + ")")
+                    }
+                }
+
+                should("with Longs") {
+                    val value = 1L
+                    udf.register(::firstLong)
+
+                    spark.sql("select firstLong()")
+                        .collectAsList()
+                        .single()
+                        .getAs<Long?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstLong(" + values.joinToString() + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<Long?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstLong(" + values.joinToString() + ")")
+                    }
+                }
+
+                should("with Floats") {
+                    val value = 1f
+                    udf.register(::firstFloat)
+
+                    spark.sql("select firstFloat()")
+                        .collectAsList()
+                        .single()
+                        .getAs<Float?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstFloat(" + values.joinToString() + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<Float?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstFloat(" + values.joinToString() + ")")
+                    }
+                }
+
+                should("with Doubles") {
+                    val value = 1.0
+                    udf.register(::firstDouble)
+
+                    spark.sql("select firstDouble()")
+                        .collectAsList()
+                        .single()
+                        .getAs<Double?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstDouble(" + values.joinToString() + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<Double?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstDouble(" + values.joinToString() + ")")
+                    }
+                }
+
+                should("with Booleans") {
+                    val value = true
+                    udf.register(::firstBoolean)
+
+                    spark.sql("select firstBoolean()")
+                        .collectAsList()
+                        .single()
+                        .getAs<Boolean?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<Boolean?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstBoolean(" + values.joinToString() + ")")
+                    }
+                }
+
+                should("with Anys") {
+                    val value = "test"
+                    udf.register(::firstString)
+
+                    spark.sql("select firstString()")
+                        .collectAsList()
+                        .single()
+                        .getAs<String?>(0) shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { value }
+                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
+                            .collectAsList()
+                            .single()
+                            .getAs<String?>(0) shouldBe value
+                    }
+
+                    val values = (1..23).map { value }
+                    shouldThrow<scala.MatchError> {
+                        spark.sql("select firstString(" + values.joinToString { "\"$it\"" } + ")")
+                    }
+                }
+
+
+            }
+        }
+
+        context("Call vararg udf from dataset select") {
+            withSpark(logLevel = SparkLogLevel.DEBUG) {
+                should("with Bytes") {
+                    val value = 1.toByte()
+                    val ds = dsOf(value)
+
+                    val firstByte = udf.register(::firstByte)
+
+                    ds.select(firstByte())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstByte(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstByte(*values))
+                    }
+                }
+
+                should("with Shorts") {
+                    val value = 1.toShort()
+                    val ds = dsOf(value)
+
+                    val firstShort = udf.register(::firstShort)
+
+                    ds.select(firstShort())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstShort(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstShort(*values))
+                    }
+                }
+
+                should("with Ints") {
+                    val value = 1
+                    val ds = dsOf(value)
+
+                    val firstInt = udf.register(::firstInt)
+
+                    ds.select(firstInt())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstInt(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstInt(*values))
+                    }
+                }
+
+                should("with Longs") {
+                    val value = 1L
+                    val ds = dsOf(value)
+
+                    val firstLong = udf.register(::firstLong)
+
+                    ds.select(firstLong())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstLong(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstLong(*values))
+                    }
+                }
+
+                should("with Floats") {
+                    val value = 1f
+                    val ds = dsOf(value)
+
+                    val firstFloat = udf.register(::firstFloat)
+
+                    ds.select(firstFloat())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstFloat(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstFloat(*values))
+                    }
+                }
+
+                should("with Doubles") {
+                    val value = 1.0
+                    val ds = dsOf(value)
+
+                    val firstDouble = udf.register(::firstDouble)
+
+                    ds.select(firstDouble())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstDouble(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstDouble(*values))
+                    }
+                }
+
+                should("with Booleans") {
+                    val value = true
+                    val ds = dsOf(value)
+
+                    val firstBoolean = udf.register(::firstBoolean)
+
+                    ds.select(firstBoolean())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstBoolean(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstBoolean(*values))
+                    }
+                }
+
+                should("with Anys") {
+                    val value = "test"
+                    val ds = dsOf(value)
+
+                    val firstString = udf.register(::firstString)
+
+                    ds.select(firstString())
+                        .collectAsList()
+                        .single() shouldBe null
+
+                    (1..22).forEach { nr ->
+                        val values = (1..nr).map { ds.singleCol() }.toTypedArray()
+
+                        ds.select(firstString(*values))
+                            .collectAsList()
+                            .single() shouldBe value
+                    }
+
+                    val values = (1..23).map { ds.singleCol() }.toTypedArray()
+                    shouldThrow<scala.MatchError> {
+                        ds.select(firstString(*values))
+                    }
+                }
+            }
+        }
+
+    }
 })
 
 data class Employee(val name: String, val salary: Long)
diff --git a/core/build.gradle.kts b/scala-helpers/build.gradle.kts
similarity index 100%
rename from core/build.gradle.kts
rename to scala-helpers/build.gradle.kts
diff --git a/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
similarity index 100%
rename from core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
rename to scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
diff --git a/core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala
similarity index 100%
rename from core/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala
rename to scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala
diff --git a/settings.gradle.kts b/settings.gradle.kts
index 5cfd79e6..5f8ade32 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -25,13 +25,13 @@ val versions = "${spark}_${scalaCompat}"
 
 rootProject.name = "kotlin-spark-api-parent_$versions"
 
-//include("core")
+include("scala-helpers")
 include("scala-tuples-in-kotlin")
 include("kotlin-spark-api")
 include("jupyter")
 include("examples")
 
-//project(":core").name = "core_$versions"
+project(":scala-helpers").name = "scala-helpers_$versions"
 project(":scala-tuples-in-kotlin").name = "scala-tuples-in-kotlin_$scalaCompat"
 project(":kotlin-spark-api").name = "kotlin-spark-api_$versions"
 project(":jupyter").name = "jupyter_$versions"

From d60e4dc22c48b0733f3618897a6632ff67c2345f Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Wed, 20 Mar 2024 17:55:27 +0100
Subject: [PATCH 12/38] enabled core as scala-helpers with VarargUnwrapper.
 Removed name hack in favor of upcoming IR compiler plugin. Removed spark
 dependency in scala-helpers

---
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 14 +--
 .../kotlinx/spark/api/UDFRegister.kt          | 46 ++++-----
 .../kotlinx/spark/api/UserDefinedFunction.kt  |  2 +
 .../spark/api/UserDefinedFunctionVararg.kt    | 18 ++--
 .../kotlinx/spark/api/UserDefinedFunctions.kt | 99 ++++++++++---------
 .../spark/api/plugin/annotations/Sparkify.kt  | 27 +++++
 scala-helpers/build.gradle.kts                |  2 +-
 .../spark/extensions/KSparkExtensions.scala   |  2 +-
 .../spark/extensions/VarargUnwrapper.scala    | 15 ++-
 9 files changed, 133 insertions(+), 92 deletions(-)
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/plugin/annotations/Sparkify.kt

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index c23345bc..cec0e020 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -32,22 +32,20 @@ package org.jetbrains.kotlinx.spark.api
 import org.apache.spark.sql.Encoder
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.DefinedByConstructorParams
-import org.apache.spark.sql.catalyst.SerializerBuildHelper
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.EncoderField
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.ProductEncoder
 import org.apache.spark.sql.catalyst.encoders.OuterScopes
-import org.apache.spark.sql.catalyst.expressions.objects.Invoke
 import org.apache.spark.sql.types.DataType
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.sql.types.Metadata
 import org.apache.spark.sql.types.SQLUserDefinedType
+import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.types.UDTRegistration
 import org.apache.spark.sql.types.UserDefinedType
 import org.apache.spark.unsafe.types.CalendarInterval
 import scala.reflect.ClassTag
-import java.io.Serializable
 import kotlin.reflect.KClass
 import kotlin.reflect.KMutableProperty
 import kotlin.reflect.KType
@@ -113,11 +111,13 @@ private fun <T> applyEncoder(agnosticEncoder: AgnosticEncoder<T>): Encoder<T> {
 @Deprecated("Use kotlinEncoderFor instead", ReplaceWith("kotlinEncoderFor<T>()"))
 inline fun <reified T> encoder(): Encoder<T> = kotlinEncoderFor(typeOf<T>())
 
-@Deprecated("Use kotlinEncoderFor to get the schema.", ReplaceWith("kotlinEncoderFor<T>().schema()"))
-inline fun <reified T> schema(): DataType = kotlinEncoderFor<T>().schema()
+internal fun StructType.unwrap(): DataType =
+    if (fields().singleOrNull()?.name() == "value") fields().single().dataType()
+    else this
 
-@Deprecated("Use kotlinEncoderFor to get the schema.", ReplaceWith("kotlinEncoderFor<Any?>(kType).schema()"))
-fun schema(kType: KType): DataType = kotlinEncoderFor<Any?>(kType).schema()
+inline fun <reified T> schemaFor(): DataType = schemaFor(typeOf<T>())
+
+fun schemaFor(kType: KType): DataType = kotlinEncoderFor<Any?>(kType).schema().unwrap()
 
 object KotlinTypeInference {
 
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt
index 7eb535ba..18b92cec 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UDFRegister.kt
@@ -53,7 +53,7 @@ class UDFWrapper0(private val udfName: String) {
 @OptIn(ExperimentalStdlibApi::class)
 @Deprecated("Use new UDF notation", ReplaceWith("this.register(name, func)"), DeprecationLevel.HIDDEN)
 inline fun <reified R> UDFRegistration.register(name: String, noinline func: () -> R): UDFWrapper0 {
-    register(name, UDF0(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF0(func), schemaFor<R>())
     return UDFWrapper0(name)
 }
 
@@ -78,7 +78,7 @@ class UDFWrapper1(private val udfName: String) {
 @Deprecated("Use new UDF notation", ReplaceWith("this.register(name, func)"), DeprecationLevel.HIDDEN)
 inline fun <reified T0, reified R> UDFRegistration.register(name: String, noinline func: (T0) -> R): UDFWrapper1 {
     T0::class.checkForValidType("T0")
-    register(name, UDF1(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF1(func), schemaFor<R>())
     return UDFWrapper1(name)
 }
 
@@ -107,7 +107,7 @@ inline fun <reified T0, reified T1, reified R> UDFRegistration.register(
 ): UDFWrapper2 {
     T0::class.checkForValidType("T0")
     T1::class.checkForValidType("T1")
-    register(name, UDF2(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF2(func), schemaFor<R>())
     return UDFWrapper2(name)
 }
 
@@ -137,7 +137,7 @@ inline fun <reified T0, reified T1, reified T2, reified R> UDFRegistration.regis
     T0::class.checkForValidType("T0")
     T1::class.checkForValidType("T1")
     T2::class.checkForValidType("T2")
-    register(name, UDF3(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF3(func), schemaFor<R>())
     return UDFWrapper3(name)
 }
 
@@ -168,7 +168,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified R> UDFRegist
     T1::class.checkForValidType("T1")
     T2::class.checkForValidType("T2")
     T3::class.checkForValidType("T3")
-    register(name, UDF4(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF4(func), schemaFor<R>())
     return UDFWrapper4(name)
 }
 
@@ -200,7 +200,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T2::class.checkForValidType("T2")
     T3::class.checkForValidType("T3")
     T4::class.checkForValidType("T4")
-    register(name, UDF5(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF5(func), schemaFor<R>())
     return UDFWrapper5(name)
 }
 
@@ -240,7 +240,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T3::class.checkForValidType("T3")
     T4::class.checkForValidType("T4")
     T5::class.checkForValidType("T5")
-    register(name, UDF6(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF6(func), schemaFor<R>())
     return UDFWrapper6(name)
 }
 
@@ -282,7 +282,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T4::class.checkForValidType("T4")
     T5::class.checkForValidType("T5")
     T6::class.checkForValidType("T6")
-    register(name, UDF7(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF7(func), schemaFor<R>())
     return UDFWrapper7(name)
 }
 
@@ -326,7 +326,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T5::class.checkForValidType("T5")
     T6::class.checkForValidType("T6")
     T7::class.checkForValidType("T7")
-    register(name, UDF8(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF8(func), schemaFor<R>())
     return UDFWrapper8(name)
 }
 
@@ -372,7 +372,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T6::class.checkForValidType("T6")
     T7::class.checkForValidType("T7")
     T8::class.checkForValidType("T8")
-    register(name, UDF9(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF9(func), schemaFor<R>())
     return UDFWrapper9(name)
 }
 
@@ -432,7 +432,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T7::class.checkForValidType("T7")
     T8::class.checkForValidType("T8")
     T9::class.checkForValidType("T9")
-    register(name, UDF10(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF10(func), schemaFor<R>())
     return UDFWrapper10(name)
 }
 
@@ -495,7 +495,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T8::class.checkForValidType("T8")
     T9::class.checkForValidType("T9")
     T10::class.checkForValidType("T10")
-    register(name, UDF11(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF11(func), schemaFor<R>())
     return UDFWrapper11(name)
 }
 
@@ -561,7 +561,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T9::class.checkForValidType("T9")
     T10::class.checkForValidType("T10")
     T11::class.checkForValidType("T11")
-    register(name, UDF12(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF12(func), schemaFor<R>())
     return UDFWrapper12(name)
 }
 
@@ -630,7 +630,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T10::class.checkForValidType("T10")
     T11::class.checkForValidType("T11")
     T12::class.checkForValidType("T12")
-    register(name, UDF13(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF13(func), schemaFor<R>())
     return UDFWrapper13(name)
 }
 
@@ -702,7 +702,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T11::class.checkForValidType("T11")
     T12::class.checkForValidType("T12")
     T13::class.checkForValidType("T13")
-    register(name, UDF14(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF14(func), schemaFor<R>())
     return UDFWrapper14(name)
 }
 
@@ -777,7 +777,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T12::class.checkForValidType("T12")
     T13::class.checkForValidType("T13")
     T14::class.checkForValidType("T14")
-    register(name, UDF15(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF15(func), schemaFor<R>())
     return UDFWrapper15(name)
 }
 
@@ -855,7 +855,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T13::class.checkForValidType("T13")
     T14::class.checkForValidType("T14")
     T15::class.checkForValidType("T15")
-    register(name, UDF16(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF16(func), schemaFor<R>())
     return UDFWrapper16(name)
 }
 
@@ -936,7 +936,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T14::class.checkForValidType("T14")
     T15::class.checkForValidType("T15")
     T16::class.checkForValidType("T16")
-    register(name, UDF17(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF17(func), schemaFor<R>())
     return UDFWrapper17(name)
 }
 
@@ -1020,7 +1020,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T15::class.checkForValidType("T15")
     T16::class.checkForValidType("T16")
     T17::class.checkForValidType("T17")
-    register(name, UDF18(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF18(func), schemaFor<R>())
     return UDFWrapper18(name)
 }
 
@@ -1107,7 +1107,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T16::class.checkForValidType("T16")
     T17::class.checkForValidType("T17")
     T18::class.checkForValidType("T18")
-    register(name, UDF19(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF19(func), schemaFor<R>())
     return UDFWrapper19(name)
 }
 
@@ -1197,7 +1197,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T17::class.checkForValidType("T17")
     T18::class.checkForValidType("T18")
     T19::class.checkForValidType("T19")
-    register(name, UDF20(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF20(func), schemaFor<R>())
     return UDFWrapper20(name)
 }
 
@@ -1290,7 +1290,7 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T18::class.checkForValidType("T18")
     T19::class.checkForValidType("T19")
     T20::class.checkForValidType("T20")
-    register(name, UDF21(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF21(func), schemaFor<R>())
     return UDFWrapper21(name)
 }
 
@@ -1386,6 +1386,6 @@ inline fun <reified T0, reified T1, reified T2, reified T3, reified T4, reified
     T19::class.checkForValidType("T19")
     T20::class.checkForValidType("T20")
     T21::class.checkForValidType("T21")
-    register(name, UDF22(func), kotlinEncoderFor<R>().schema())
+    register(name, UDF22(func), schemaFor<R>())
     return UDFWrapper22(name)
 }
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
index 0e00eb68..5c1a3071 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
@@ -23,6 +23,7 @@ package org.jetbrains.kotlinx.spark.api
 
 import org.apache.spark.sql.*
 import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.StructType
 import scala.collection.Seq
 import java.io.Serializable
 import kotlin.reflect.KClass
@@ -31,6 +32,7 @@ import kotlin.reflect.full.isSubclassOf
 import kotlin.reflect.full.primaryConstructor
 import org.apache.spark.sql.expressions.UserDefinedFunction as SparkUserDefinedFunction
 
+
 /**
  * Checks if [this] is of a valid type for a UDF, otherwise it throws a [TypeOfUDFParameterNotSupportedException]
  */
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
index 873921f1..6ffd9ff6 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctionVararg.kt
@@ -135,7 +135,7 @@ inline fun <reified R> udf(
 
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ByteArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ByteArray(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
@@ -334,7 +334,7 @@ inline fun <reified R> udf(
 
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ShortArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> ShortArray(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
@@ -533,7 +533,7 @@ inline fun <reified R> udf(
 
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> IntArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> IntArray(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
@@ -732,7 +732,7 @@ inline fun <reified R> udf(
 
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> LongArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> LongArray(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
@@ -931,7 +931,7 @@ inline fun <reified R> udf(
 
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> FloatArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> FloatArray(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
@@ -1130,7 +1130,7 @@ inline fun <reified R> udf(
 
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> DoubleArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> DoubleArray(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
@@ -1325,11 +1325,9 @@ inline fun <reified R> udf(
     nondeterministic: Boolean = false,
     varargFunc: UDF1<BooleanArray, R>,
 ): UserDefinedFunctionVararg<Boolean, R> {
-
-
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> BooleanArray(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> BooleanArray(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
@@ -1528,7 +1526,7 @@ inline fun <reified T, reified R> udf(
 
     return withAllowUntypedScalaUDF {
         UserDefinedFunctionVararg(
-            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> Array<T>(i, init::call) }, kotlinEncoderFor<R>().schema())
+            udf = functions.udf(VarargUnwrapper(varargFunc) { i, init -> Array<T>(i, init::apply) }, schemaFor<R>())
                 .let { if (nondeterministic) it.asNondeterministic() else it }
                 .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
             encoder = kotlinEncoderFor<R>(),
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt
index cf09ca64..90676974 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunctions.kt
@@ -23,6 +23,7 @@ package org.jetbrains.kotlinx.spark.api
 import org.apache.spark.sql.*
 import org.apache.spark.sql.api.java.*
 import kotlin.reflect.*
+import java.io.Serializable
 import org.apache.spark.sql.expressions.UserDefinedFunction as SparkUserDefinedFunction
 
 
@@ -194,7 +195,7 @@ inline fun <reified R> UDFRegistration.register(
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF0<R> : org.apache.spark.sql.api.java.UDF0<R> { override fun call(): R }
+fun interface UDF0<R> : Serializable, org.apache.spark.sql.api.java.UDF0<R> { override fun call(): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction0]) instance based on the (lambda) function [func].
@@ -227,7 +228,7 @@ inline fun <reified R> udf(
 
 
     return UserDefinedFunction0(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -421,7 +422,10 @@ inline fun <reified T1, reified R> UDFRegistration.register(
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF1<T1, R> : org.apache.spark.sql.api.java.UDF1<T1, R> { override fun call(t1: T1): R }
+fun interface UDF1<T1, R> : Serializable, org.apache.spark.sql.api.java.UDF1<T1, R>, org.jetbrains.kotlinx.spark.extensions.VarargUnwrapperUDT1<T1, R> {
+    override fun call(t1: T1): R
+    override fun apply(t1: T1): R = call(t1)
+}
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction1]) instance based on the (lambda) function [func].
@@ -454,7 +458,7 @@ inline fun <reified T1, reified R> udf(
     T1::class.checkForValidType("T1")
 
     return UserDefinedFunction1(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -646,7 +650,10 @@ inline fun <reified T1, reified T2, reified R> UDFRegistration.register(
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF2<T1, T2, R> : org.apache.spark.sql.api.java.UDF2<T1, T2, R> { override fun call(t1: T1, t2: T2): R }
+fun interface UDF2<T1, T2, R> : Serializable, org.apache.spark.sql.api.java.UDF2<T1, T2, R>, org.jetbrains.kotlinx.spark.extensions.VarargUnwrapperUDT2<T1, T2, R> {
+    override fun call(t1: T1, t2: T2): R
+    override fun apply(t1: T1, t2: T2): R = call(t1, t2)
+}
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction2]) instance based on the (lambda) function [func].
@@ -680,7 +687,7 @@ inline fun <reified T1, reified T2, reified R> udf(
     T2::class.checkForValidType("T2")
 
     return UserDefinedFunction2(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -872,7 +879,7 @@ inline fun <reified T1, reified T2, reified T3, reified R> UDFRegistration.regis
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF3<T1, T2, T3, R> : org.apache.spark.sql.api.java.UDF3<T1, T2, T3, R> { override fun call(t1: T1, t2: T2, t3: T3): R }
+fun interface UDF3<T1, T2, T3, R> : Serializable, org.apache.spark.sql.api.java.UDF3<T1, T2, T3, R> { override fun call(t1: T1, t2: T2, t3: T3): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction3]) instance based on the (lambda) function [func].
@@ -907,7 +914,7 @@ inline fun <reified T1, reified T2, reified T3, reified R> udf(
     T3::class.checkForValidType("T3")
 
     return UserDefinedFunction3(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -1099,7 +1106,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified R> UDFRegist
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF4<T1, T2, T3, T4, R> : org.apache.spark.sql.api.java.UDF4<T1, T2, T3, T4, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4): R }
+fun interface UDF4<T1, T2, T3, T4, R> : Serializable, org.apache.spark.sql.api.java.UDF4<T1, T2, T3, T4, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction4]) instance based on the (lambda) function [func].
@@ -1135,7 +1142,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified R> udf(
     T4::class.checkForValidType("T4")
 
     return UserDefinedFunction4(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -1327,7 +1334,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF5<T1, T2, T3, T4, T5, R> : org.apache.spark.sql.api.java.UDF5<T1, T2, T3, T4, T5, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5): R }
+fun interface UDF5<T1, T2, T3, T4, T5, R> : Serializable, org.apache.spark.sql.api.java.UDF5<T1, T2, T3, T4, T5, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction5]) instance based on the (lambda) function [func].
@@ -1364,7 +1371,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T5::class.checkForValidType("T5")
 
     return UserDefinedFunction5(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -1556,7 +1563,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF6<T1, T2, T3, T4, T5, T6, R> : org.apache.spark.sql.api.java.UDF6<T1, T2, T3, T4, T5, T6, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6): R }
+fun interface UDF6<T1, T2, T3, T4, T5, T6, R> : Serializable, org.apache.spark.sql.api.java.UDF6<T1, T2, T3, T4, T5, T6, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction6]) instance based on the (lambda) function [func].
@@ -1594,7 +1601,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T6::class.checkForValidType("T6")
 
     return UserDefinedFunction6(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -1786,7 +1793,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF7<T1, T2, T3, T4, T5, T6, T7, R> : org.apache.spark.sql.api.java.UDF7<T1, T2, T3, T4, T5, T6, T7, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7): R }
+fun interface UDF7<T1, T2, T3, T4, T5, T6, T7, R> : Serializable, org.apache.spark.sql.api.java.UDF7<T1, T2, T3, T4, T5, T6, T7, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction7]) instance based on the (lambda) function [func].
@@ -1825,7 +1832,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T7::class.checkForValidType("T7")
 
     return UserDefinedFunction7(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -2017,7 +2024,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF8<T1, T2, T3, T4, T5, T6, T7, T8, R> : org.apache.spark.sql.api.java.UDF8<T1, T2, T3, T4, T5, T6, T7, T8, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8): R }
+fun interface UDF8<T1, T2, T3, T4, T5, T6, T7, T8, R> : Serializable, org.apache.spark.sql.api.java.UDF8<T1, T2, T3, T4, T5, T6, T7, T8, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction8]) instance based on the (lambda) function [func].
@@ -2057,7 +2064,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T8::class.checkForValidType("T8")
 
     return UserDefinedFunction8(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -2249,7 +2256,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF9<T1, T2, T3, T4, T5, T6, T7, T8, T9, R> : org.apache.spark.sql.api.java.UDF9<T1, T2, T3, T4, T5, T6, T7, T8, T9, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9): R }
+fun interface UDF9<T1, T2, T3, T4, T5, T6, T7, T8, T9, R> : Serializable, org.apache.spark.sql.api.java.UDF9<T1, T2, T3, T4, T5, T6, T7, T8, T9, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction9]) instance based on the (lambda) function [func].
@@ -2290,7 +2297,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T9::class.checkForValidType("T9")
 
     return UserDefinedFunction9(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -2482,7 +2489,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, R> : org.apache.spark.sql.api.java.UDF10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10): R }
+fun interface UDF10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, R> : Serializable, org.apache.spark.sql.api.java.UDF10<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction10]) instance based on the (lambda) function [func].
@@ -2524,7 +2531,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T10::class.checkForValidType("T10")
 
     return UserDefinedFunction10(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -2716,7 +2723,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, R> : org.apache.spark.sql.api.java.UDF11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11): R }
+fun interface UDF11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, R> : Serializable, org.apache.spark.sql.api.java.UDF11<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction11]) instance based on the (lambda) function [func].
@@ -2759,7 +2766,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T11::class.checkForValidType("T11")
 
     return UserDefinedFunction11(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -2951,7 +2958,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, R> : org.apache.spark.sql.api.java.UDF12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12): R }
+fun interface UDF12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, R> : Serializable, org.apache.spark.sql.api.java.UDF12<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction12]) instance based on the (lambda) function [func].
@@ -2995,7 +3002,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T12::class.checkForValidType("T12")
 
     return UserDefinedFunction12(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -3187,7 +3194,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, R> : org.apache.spark.sql.api.java.UDF13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13): R }
+fun interface UDF13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, R> : Serializable, org.apache.spark.sql.api.java.UDF13<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction13]) instance based on the (lambda) function [func].
@@ -3232,7 +3239,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T13::class.checkForValidType("T13")
 
     return UserDefinedFunction13(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -3424,7 +3431,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, R> : org.apache.spark.sql.api.java.UDF14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14): R }
+fun interface UDF14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, R> : Serializable, org.apache.spark.sql.api.java.UDF14<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction14]) instance based on the (lambda) function [func].
@@ -3470,7 +3477,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T14::class.checkForValidType("T14")
 
     return UserDefinedFunction14(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -3662,7 +3669,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, R> : org.apache.spark.sql.api.java.UDF15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15): R }
+fun interface UDF15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, R> : Serializable, org.apache.spark.sql.api.java.UDF15<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction15]) instance based on the (lambda) function [func].
@@ -3709,7 +3716,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T15::class.checkForValidType("T15")
 
     return UserDefinedFunction15(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -3901,7 +3908,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, R> : org.apache.spark.sql.api.java.UDF16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16): R }
+fun interface UDF16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, R> : Serializable, org.apache.spark.sql.api.java.UDF16<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction16]) instance based on the (lambda) function [func].
@@ -3949,7 +3956,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T16::class.checkForValidType("T16")
 
     return UserDefinedFunction16(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -4141,7 +4148,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, R> : org.apache.spark.sql.api.java.UDF17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17): R }
+fun interface UDF17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, R> : Serializable, org.apache.spark.sql.api.java.UDF17<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction17]) instance based on the (lambda) function [func].
@@ -4190,7 +4197,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T17::class.checkForValidType("T17")
 
     return UserDefinedFunction17(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -4382,7 +4389,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, R> : org.apache.spark.sql.api.java.UDF18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18): R }
+fun interface UDF18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, R> : Serializable, org.apache.spark.sql.api.java.UDF18<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction18]) instance based on the (lambda) function [func].
@@ -4432,7 +4439,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T18::class.checkForValidType("T18")
 
     return UserDefinedFunction18(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -4624,7 +4631,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, R> : org.apache.spark.sql.api.java.UDF19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19): R }
+fun interface UDF19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, R> : Serializable, org.apache.spark.sql.api.java.UDF19<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction19]) instance based on the (lambda) function [func].
@@ -4675,7 +4682,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T19::class.checkForValidType("T19")
 
     return UserDefinedFunction19(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -4867,7 +4874,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, R> : org.apache.spark.sql.api.java.UDF20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19, t20: T20): R }
+fun interface UDF20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, R> : Serializable, org.apache.spark.sql.api.java.UDF20<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19, t20: T20): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction20]) instance based on the (lambda) function [func].
@@ -4919,7 +4926,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T20::class.checkForValidType("T20")
 
     return UserDefinedFunction20(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -5111,7 +5118,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, R> : org.apache.spark.sql.api.java.UDF21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19, t20: T20, t21: T21): R }
+fun interface UDF21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, R> : Serializable, org.apache.spark.sql.api.java.UDF21<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19, t20: T20, t21: T21): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction21]) instance based on the (lambda) function [func].
@@ -5164,7 +5171,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T21::class.checkForValidType("T21")
 
     return UserDefinedFunction21(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
@@ -5356,7 +5363,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
 
 
 /** Kotlin wrapper around UDF interface to ensure nullability in types. */
-fun interface UDF22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, R> : org.apache.spark.sql.api.java.UDF22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19, t20: T20, t21: T21, t22: T22): R }
+fun interface UDF22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, R> : Serializable, org.apache.spark.sql.api.java.UDF22<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21, T22, R> { override fun call(t1: T1, t2: T2, t3: T3, t4: T4, t5: T5, t6: T6, t7: T7, t8: T8, t9: T9, t10: T10, t11: T11, t12: T12, t13: T13, t14: T14, t15: T15, t16: T16, t17: T17, t18: T18, t19: T19, t20: T20, t21: T21, t22: T22): R }
 
 /**
  * Defines a named UDF ([NamedUserDefinedFunction22]) instance based on the (lambda) function [func].
@@ -5410,7 +5417,7 @@ inline fun <reified T1, reified T2, reified T3, reified T4, reified T5, reified
     T22::class.checkForValidType("T22")
 
     return UserDefinedFunction22(
-        udf = functions.udf(func, kotlinEncoderFor<R>().schema())
+        udf = functions.udf(func, schemaFor<R>())
             .let { if (nondeterministic) it.asNondeterministic() else it }
             .let { if (typeOf<R>().isMarkedNullable) it else it.asNonNullable() },
         encoder = kotlinEncoderFor<R>(),
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/plugin/annotations/Sparkify.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/plugin/annotations/Sparkify.kt
new file mode 100644
index 00000000..dfcafe07
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/plugin/annotations/Sparkify.kt
@@ -0,0 +1,27 @@
+package org.jetbrains.kotlinx.spark.api.plugin.annotations
+
+
+/**
+ * Annotate Data Classes with this annotation
+ * to make them encodable by Spark.
+ *
+ * This requires the Gradle Plugin "org.jetbrains.kotlinx.spark.plugin.gradle-plugin"
+ * to be enabled for your project.
+ *
+ * In practice, this annotation will generate `@get:JvmName("propertyName")`
+ * for each argument in the primary constructor. This will satisfy the Spark Property
+ * encoder with the expectation of there being a "propertyName()" getter-function for each property.
+ *
+ * See [ColumnName] for custom column names.
+ */
+@Target(AnnotationTarget.CLASS)
+annotation class Sparkify
+
+/**
+ * Requires the data class to have the [@Sparkify][Sparkify] annotation!
+ *
+ * Annotate the primary constructor arguments with this annotation to
+ * specify a custom column name for the Spark Dataset.
+ */
+@Target(AnnotationTarget.VALUE_PARAMETER)
+annotation class ColumnName(val name: String)
diff --git a/scala-helpers/build.gradle.kts b/scala-helpers/build.gradle.kts
index d9d09217..15445aa5 100644
--- a/scala-helpers/build.gradle.kts
+++ b/scala-helpers/build.gradle.kts
@@ -30,7 +30,7 @@ dependencies {
         if (Versions.spark == "3.3.1") implementation(jacksonDatabind)
 
         implementation(
-            sparkSql,
+//            sparkSql, not needed atm
         )
     }
 }
diff --git a/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
index 752ce0d0..359b1324 100644
--- a/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
+++ b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
@@ -19,8 +19,8 @@
  */
 package org.jetbrains.kotlinx.spark.extensions
 
-import org.apache.spark.SparkContext
 import org.apache.spark.sql._
+
 import java.util
 import scala.reflect.ClassTag
 
diff --git a/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala
index 27f317a4..30f8fb63 100644
--- a/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala
+++ b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/VarargUnwrapper.scala
@@ -1,6 +1,13 @@
 package org.jetbrains.kotlinx.spark.extensions
 
-import org.apache.spark.sql.api.java.{UDF1, UDF2}
+
+trait VarargUnwrapperUDT1[T1, R] extends Serializable {
+  def apply(v1: T1): R
+}
+
+trait VarargUnwrapperUDT2[T1, T2, R] extends Serializable {
+  def apply(v1: T1, v2: T2): R
+}
 
 /**
  * Allows any simple vararg function reference to be treated as 23 different Scala functions.
@@ -13,8 +20,8 @@ import org.apache.spark.sql.api.java.{UDF1, UDF2}
  * @tparam R
  */
 class VarargUnwrapper[T, Array, R](
-    val varargFunc: UDF1[Array, R],
-    val newArray: UDF2[Integer, UDF1[Integer, T], Array],
+    val varargFunc: VarargUnwrapperUDT1[Array, R],
+    val newArray: VarargUnwrapperUDT2[Integer, VarargUnwrapperUDT1[Integer, T], Array],
 ) extends Serializable
   with Function0[R]
   with Function1[T, R]
@@ -40,7 +47,7 @@ class VarargUnwrapper[T, Array, R](
   with Function21[T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, R]
   with Function22[T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, T, R] {
 
-  private def vararg(t: T*): R = varargFunc.call(newArray.call(t.size, { t(_) }))
+  private def vararg(t: T*): R = varargFunc(newArray(t.size, { t(_) }))
 
   override def curried: Nothing = throw new UnsupportedOperationException()
   override def tupled: Nothing = throw new UnsupportedOperationException()

From 4f8d874ab62350042a90b13fdfa74b293cca3d4c Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Thu, 21 Mar 2024 14:28:39 +0100
Subject: [PATCH 13/38] updating some build parameters

---
 .github/workflows/build.yml                   |  2 +-
 .github/workflows/generate_docs.yml           |  2 +-
 .github/workflows/publish_dev_version.yml     |  4 +--
 .github/workflows/publish_release_version.yml |  4 +--
 build.gradle.kts                              |  1 -
 buildSrc/src/main/kotlin/Versions.kt          |  3 +-
 gradle.properties                             |  3 +-
 gradlew_all_versions                          | 32 +++++++++++--------
 kotlin-spark-api/build.gradle.kts             |  7 ++--
 scala-helpers/build.gradle.kts                |  8 +++--
 scala-tuples-in-kotlin/build.gradle.kts       |  4 +--
 settings.gradle.kts                           | 10 +++---
 12 files changed, 43 insertions(+), 37 deletions(-)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 2619c680..c585a26f 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -32,7 +32,7 @@ jobs:
             ~/.gradle/caches
             ~/.gradle/wrapper
             ~/.gradle/jdks
-          key: ${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}
+          key: "${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}"
           restore-keys: |
             ${{ runner.os }}-gradle-
 
diff --git a/.github/workflows/generate_docs.yml b/.github/workflows/generate_docs.yml
index 40863b7b..48d2517a 100644
--- a/.github/workflows/generate_docs.yml
+++ b/.github/workflows/generate_docs.yml
@@ -26,7 +26,7 @@ jobs:
             ~/.gradle/caches
             ~/.gradle/wrapper
             ~/.gradle/jdks
-          key: ${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}
+          key: "${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}"
           restore-keys: |
             ${{ runner.os }}-gradle-
 
diff --git a/.github/workflows/publish_dev_version.yml b/.github/workflows/publish_dev_version.yml
index 403cdf72..d1ca7e37 100644
--- a/.github/workflows/publish_dev_version.yml
+++ b/.github/workflows/publish_dev_version.yml
@@ -33,7 +33,7 @@ jobs:
             ~/.gradle/caches
             ~/.gradle/wrapper
             ~/.gradle/jdks
-          key: ${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}
+          key: "${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}"
           restore-keys: |
             ${{ runner.os }}-gradle-
 
@@ -55,7 +55,7 @@ jobs:
           ./gradlew 
           -Pspark=${{ matrix.spark }} 
           -Pscala=${{ matrix.scala }} 
-          -PskipScalaTuplesInKotlin=${{ !(matrix.spark == '3.0.0' || matrix.scala == '2.13.10' && matrix.spark == '3.2.0') }} 
+          -PskipScalaOnlyDependent=${{ matrix.spark != matrix.spark[0] }}
           clean 
           publishMavenPublicationToGitHubPackagesRepository 
           --scan
diff --git a/.github/workflows/publish_release_version.yml b/.github/workflows/publish_release_version.yml
index 253a30af..f4605999 100644
--- a/.github/workflows/publish_release_version.yml
+++ b/.github/workflows/publish_release_version.yml
@@ -32,7 +32,7 @@ jobs:
             ~/.gradle/caches
             ~/.gradle/wrapper
             ~/.gradle/jdks
-          key: ${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}
+          key: "${{ runner.os }}-gradle-spark-${{ matrix.spark }}-${{ matrix.scala }}"
           restore-keys: |
             ${{ runner.os }}-gradle-
 
@@ -57,7 +57,7 @@ jobs:
           ./gradlew 
           -Pspark=${{ matrix.spark }} 
           -Pscala=${{ matrix.scala }} 
-          -PskipScalaTuplesInKotlin=${{ !(matrix.spark == '3.0.0' || matrix.scala == '2.13.10' && matrix.spark == '3.2.0') }} 
+          -PskipScalaOnlyDependent=${{ matrix.spark != matrix.spark[0] }} 
           clean 
           publishMavenPublicationToMavenCentralRepository
           --scan
diff --git a/build.gradle.kts b/build.gradle.kts
index 178bb7a0..2d3e76bc 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -10,7 +10,6 @@ buildscript {
     }
 }
 
-
 plugins {
     mavenPublish version Versions.mavenPublish
     dokka version Versions.dokka
diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index dd10547a..efb7563a 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -11,7 +11,7 @@ object Versions {
     inline val scalaCompat get() = scala.substringBeforeLast('.')
 
     // TODO
-    const val sparkConnect = false
+    inline val sparkConnect get() = System.getProperty("sparkConnect", "false").toBoolean()
 
     const val jupyter = "0.12.0-32-1"
 
@@ -39,5 +39,4 @@ object Versions {
             "version" to project,
             "sparkConnect" to sparkConnect.toString(),
         )
-
 }
diff --git a/gradle.properties b/gradle.properties
index 76e815a2..6e9174a6 100644
--- a/gradle.properties
+++ b/gradle.properties
@@ -10,7 +10,8 @@ GROUP=org.jetbrains.kotlinx.spark
 spark=3.5.1
 scala=2.13.13
 # scala=2.12.19
-skipScalaTuplesInKotlin=false
+skipScalaOnlyDependent=false
+sparkConnect=false
 
 org.gradle.caching=true
 org.gradle.parallel=false
diff --git a/gradlew_all_versions b/gradlew_all_versions
index 19cab96e..98e9430e 100755
--- a/gradlew_all_versions
+++ b/gradlew_all_versions
@@ -5,10 +5,10 @@ set -euo pipefail
 # but now like `./gradlew_all_versions arguments`.
 
 DRY_RUN=${DRY_RUN:-false}
-SCALA2_12VERSION="2.12.16"
-SCALA2_13VERSION="2.13.8"
-SparkVersionsForBothScalaVersions=("3.3.0" "3.2.1" "3.2.0")
-SparkVersionsForScala2_12=("3.1.3" "3.1.2" "3.1.1" "3.1.0" "3.0.3" "3.0.2" "3.0.1" "3.0.0")
+SCALA2_12VERSION="2.12.19"
+SCALA2_13VERSION="2.13.13"
+SparkVersionsForBothScalaVersions=("3.4.2" "3.5.1")
+SparkVersionsForScala2_12=()
 
 echo Running for "$(expr ${#SparkVersionsForBothScalaVersions[@]} \* 2 + ${#SparkVersionsForScala2_12[@]}) versions of the library."
 
@@ -19,33 +19,37 @@ fi
 
 ARGS=("$@")
 execute() {
-  echo "running ./gradlew -Pspark=$SPARK -Pscala=$SCALA -PskipScalaTuplesInKotlin=$SKIP_SCALA_TUPLES -PenforceCleanJCP=true ${ARGS[*]}"
+  echo "running ./gradlew -Pspark=$SPARK -Pscala=$SCALA -PskipScalaOnlyDependent=$SKIP_SCALA_TUPLES -PenforceCleanJCP=true ${ARGS[*]}"
   if [ "$DRY_RUN" = false ]; then
-    ./gradlew -Pspark="$SPARK" -Pscala="$SCALA" -PskipScalaTuplesInKotlin="$SKIP_SCALA_TUPLES" "${ARGS[@]}"
+    ./gradlew -Pspark="$SPARK" -Pscala="$SCALA" -PskipScalaOnlyDependent="$SKIP_SCALA_TUPLES" "${ARGS[@]}"
   fi
 }
 
-SCALA="$SCALA2_12VERSION"
+#SCALA="$SCALA2_12VERSION"
 SKIP_SCALA_TUPLES=false
-for spark in "${SparkVersionsForScala2_12[@]}"; do
-  SPARK="$spark"
-  execute
-  SKIP_SCALA_TUPLES=true
-done
+#for spark in "${SparkVersionsForScala2_12[@]}"; do
+#  SPARK="$spark"
+#  execute
+#  SKIP_SCALA_TUPLES=true
+#done
 
 
 execute_for_both_scala_versions() {
   for spark in "${SparkVersionsForBothScalaVersions[@]}"; do
     SPARK="$spark"
     execute
-    SKIP_SCALA_TUPLES=true
+    if [ SPARK != "${SparkVersionsForBothScalaVersions[0]}" ]; then
+      SKIP_SCALA_TUPLES=true
+    else
+      SKIP_SCALA_TUPLES=false
+    fi
   done
 }
 SCALA="$SCALA2_12VERSION"
 execute_for_both_scala_versions
 
 SCALA="$SCALA2_13VERSION"
-SKIP_SCALA_TUPLES=false
+#SKIP_SCALA_TUPLES=false
 execute_for_both_scala_versions
 
 
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index c4f86f97..39c09ba0 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -40,6 +40,8 @@ dependencies {
         // https://github.com/FasterXML/jackson-bom/issues/52
         if (Versions.spark == "3.3.1") implementation(jacksonDatabind)
 
+        if (Versions.sparkConnect) TODO("unsupported for now")
+
         implementation(
             kotlinStdLib,
             reflect,
@@ -159,8 +161,3 @@ tasks.withType<AbstractDokkaLeafTask> {
 mavenPublishing {
     configure(KotlinJvm(Dokka("dokkaHtml")))
 }
-
-
-
-
-
diff --git a/scala-helpers/build.gradle.kts b/scala-helpers/build.gradle.kts
index 15445aa5..73e62f7d 100644
--- a/scala-helpers/build.gradle.kts
+++ b/scala-helpers/build.gradle.kts
@@ -1,4 +1,4 @@
-@file:Suppress("UnstableApiUsage", "NOTHING_TO_INLINE")
+@file:Suppress("UnstableApiUsage")
 
 import com.igormaznitsa.jcp.gradle.JcpTask
 import com.vanniktech.maven.publish.JavaLibrary
@@ -35,7 +35,6 @@ dependencies {
     }
 }
 
-
 java {
     toolchain {
         if (Versions.scalaCompat.toDouble() > 2.12) { // scala 2.12 will always target java 8
@@ -99,3 +98,8 @@ mavenPublishing {
     configure(JavaLibrary(Javadoc()))
 }
 
+// Publishing of scala-helpers can be skipped since it's only dependent on the Scala version
+val skipScalaOnlyDependent = System.getProperty("skipScalaOnlyDependent").toBoolean()
+tasks
+    .filter { "publish" in it.name }
+    .forEach { it.onlyIf { !skipScalaOnlyDependent } }
\ No newline at end of file
diff --git a/scala-tuples-in-kotlin/build.gradle.kts b/scala-tuples-in-kotlin/build.gradle.kts
index 2843c1f6..c088efea 100644
--- a/scala-tuples-in-kotlin/build.gradle.kts
+++ b/scala-tuples-in-kotlin/build.gradle.kts
@@ -70,8 +70,8 @@ mavenPublishing {
 
 
 // Publishing of scala-tuples-in-kotlin can be skipped since it's only dependent on the Scala version
-val skipScalaTuplesInKotlin = System.getProperty("skipScalaTuplesInKotlin").toBoolean()
+val skipScalaOnlyDependent = System.getProperty("skipScalaOnlyDependent").toBoolean()
 tasks
     .filter { "publish" in it.name }
-    .forEach { it.onlyIf { !skipScalaTuplesInKotlin } }
+    .forEach { it.onlyIf { !skipScalaOnlyDependent } }
 
diff --git a/settings.gradle.kts b/settings.gradle.kts
index 5f8ade32..4193f335 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -9,13 +9,12 @@ gradleEnterprise {
     }
 }
 
-
 val spark: String by settings
 val scala: String by settings
-val skipScalaTuplesInKotlin: String by settings
+val skipScalaOnlyDependent: String by settings
 System.setProperty("spark", spark)
 System.setProperty("scala", scala)
-System.setProperty("skipScalaTuplesInKotlin", skipScalaTuplesInKotlin)
+System.setProperty("skipScalaOnlyDependent", skipScalaOnlyDependent)
 
 
 val scalaCompat
@@ -31,8 +30,11 @@ include("kotlin-spark-api")
 include("jupyter")
 include("examples")
 
-project(":scala-helpers").name = "scala-helpers_$versions"
+// just scala dependent
+project(":scala-helpers").name = "scala-helpers_$scalaCompat"
 project(":scala-tuples-in-kotlin").name = "scala-tuples-in-kotlin_$scalaCompat"
+
+// spark+scala dependent
 project(":kotlin-spark-api").name = "kotlin-spark-api_$versions"
 project(":jupyter").name = "jupyter_$versions"
 project(":examples").name = "examples_$versions"

From 2a878f14cbe9151dd761a65dc1d3d0965236da09 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Thu, 21 Mar 2024 16:42:32 +0100
Subject: [PATCH 14/38] bumped to kotlin 2.0.0-Beta5, included the compiler
 plugin with tests as separate module

---
 build.gradle.kts                              |  38 ++
 buildSrc/src/main/kotlin/Dependencies.kt      |  15 +-
 buildSrc/src/main/kotlin/Helpers.kt           |   5 +
 buildSrc/src/main/kotlin/Plugins.kt           |   3 +
 buildSrc/src/main/kotlin/Projects.kt          |   6 +
 buildSrc/src/main/kotlin/Versions.kt          |  11 +-
 compiler-plugin/build.gradle.kts              |  92 +++
 .../compilerPlugin/SimplePluginRegistrar.kt   |   8 +
 .../SparkifyCommandLineProcessor.kt           |  72 +++
 .../SparkifyCompilerPluginRegistrar.kt        |  33 ++
 .../DataClassPropertyAnnotationGenerator.kt   | 116 ++++
 .../ir/SparkifyIrGenerationExtension.kt       |  24 +
 ...otlin.compiler.plugin.CommandLineProcessor |   1 +
 ...in.compiler.plugin.CompilerPluginRegistrar |   1 +
 .../runners/BoxTestGenerated.java             |  29 +
 .../spark/compilerPlugin/GenerateTests.kt     |  22 +
 .../compilerPlugin/runners/AbstractBoxTest.kt |  61 ++
 .../runners/AbstractDiagnosticTest.kt         |  21 +
 .../compilerPlugin/runners/BaseTestRunner.kt  |  40 ++
 .../ExtensionRegistrarConfigurator.kt         |  25 +
 .../testData/box/dataClassTest.fir.ir.txt     | 539 ++++++++++++++++++
 .../testData/box/dataClassTest.fir.txt        |  87 +++
 .../resources/testData/box/dataClassTest.kt   |  39 ++
 examples/build.gradle.kts                     |   4 +-
 gradle/wrapper/gradle-wrapper.properties      |   2 +-
 jupyter/build.gradle.kts                      |  20 +-
 kotlin-spark-api/build.gradle.kts             |  21 +-
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |   3 +
 scala-helpers/build.gradle.kts                |  17 +-
 .../spark/extensions/KSparkExtensions.scala   |  29 +-
 scala-tuples-in-kotlin/build.gradle.kts       |   4 +-
 settings.gradle.kts                           |  11 +-
 32 files changed, 1338 insertions(+), 61 deletions(-)
 create mode 100644 compiler-plugin/build.gradle.kts
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SimplePluginRegistrar.kt
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCommandLineProcessor.kt
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
 create mode 100644 compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
 create mode 100644 compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
 create mode 100644 compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BoxTestGenerated.java
 create mode 100644 compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/GenerateTests.kt
 create mode 100644 compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractBoxTest.kt
 create mode 100644 compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractDiagnosticTest.kt
 create mode 100644 compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BaseTestRunner.kt
 create mode 100644 compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassTest.kt

diff --git a/build.gradle.kts b/build.gradle.kts
index 2d3e76bc..9b8a6d91 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -1,5 +1,10 @@
 @file:Suppress("UnstableApiUsage")
 
+import Projects.compilerPlugin
+import Projects.gradlePlugin
+import com.github.gmazzo.buildconfig.BuildConfigExtension
+
+
 buildscript {
     repositories {
         mavenCentral()
@@ -15,6 +20,7 @@ plugins {
     dokka version Versions.dokka
     idea
     kotlin version Versions.kotlin apply false
+    buildconfig version Versions.buildconfig apply false
 }
 
 group = Versions.groupID
@@ -113,4 +119,36 @@ allprojects {
             }
         }
     }
+}
+
+subprojects {
+    afterEvaluate {
+        extensions.findByType<BuildConfigExtension>()?.apply {
+            val projectVersion = Versions.project
+            val groupId = Versions.groupID
+
+            val compilerPluginId = "$groupId.compilerPlugin"
+
+            val compilerPluginArtifactId = compilerPlugin.name
+            val gradlePluginArtifactId = gradlePlugin.name
+
+            val defaultSparkifyFqName = "$groupId.plugin.annotations.Sparkify"
+            val defaultColumnNameFqName = "$groupId.plugin.annotations.ColumnName"
+
+            val projectRoot = project.rootDir.absolutePath
+
+            packageName(groupId)
+            className("Artifacts")
+
+            buildConfigField("compilerPluginId", compilerPluginId)
+            buildConfigField("groupId", groupId)
+            buildConfigField("gradlePluginArtifactId", gradlePluginArtifactId)
+            buildConfigField("projectVersion", projectVersion)
+            buildConfigField("compilerPluginArtifactId", compilerPluginArtifactId)
+
+            buildConfigField("defaultSparkifyFqName", defaultSparkifyFqName)
+            buildConfigField("defaultColumnNameFqName", defaultColumnNameFqName)
+            buildConfigField("projectRoot", projectRoot)
+        }
+    }
 }
\ No newline at end of file
diff --git a/buildSrc/src/main/kotlin/Dependencies.kt b/buildSrc/src/main/kotlin/Dependencies.kt
index 225dff11..95168433 100644
--- a/buildSrc/src/main/kotlin/Dependencies.kt
+++ b/buildSrc/src/main/kotlin/Dependencies.kt
@@ -9,7 +9,16 @@ object Dependencies {
     inline val hadoopClient get() = "org.apache.hadoop:hadoop-client:${Versions.hadoop}"
     inline val sparkRepl get() = "org.apache.spark:spark-repl_${Versions.scalaCompat}:${Versions.spark}"
     inline val jupyter get() = "org.jetbrains.kotlinx:kotlin-jupyter-api:${Versions.jupyter}"
-    inline val junit get() = "org.junit.jupiter:junit-jupiter-engine:5.8.1"
+    inline val junitJupiterEngine get() = "org.junit.jupiter:junit-jupiter-engine:${Versions.junitJupiterEngine}"
+    // must be platform()
+    inline val junitBom get() = "org.junit:junit-bom:${Versions.junitJupiterEngine}"
+    inline val junitJupiter get() = "org.junit.jupiter:junit-jupiter"
+    inline val junitPlatformCommons get() = "org.junit.platform:junit-platform-commons"
+    inline val junitPlatformLauncher get() = "org.junit.platform:junit-platform-launcher"
+    inline val junitPlatformRunner get() = "org.junit.platform:junit-platform-runner"
+    inline val junitPlatformSuiteApi get() = "org.junit.platform:junit-platform-suite-api"
+
+    inline val junit get() = "junit:junit:${Versions.junit}"
     inline val sparkStreamingKafka get() = "org.apache.spark:spark-streaming-kafka-0-10_${Versions.scalaCompat}:${Versions.spark}"
     inline val kotest get() = "io.kotest:kotest-runner-junit5:${Versions.kotest}"
     inline val kotestTestcontainers get() = "io.kotest.extensions:kotest-extensions-testcontainers:${Versions.kotestTestContainers}"
@@ -22,6 +31,10 @@ object Dependencies {
     inline val kotlinScriptingJvm get() = "org.jetbrains.kotlin:kotlin-scripting-jvm"
     inline val jacksonDatabind get() = "com.fasterxml.jackson.core:jackson-databind:${Versions.jacksonDatabind}"
     inline val kotlinDateTime get() = "org.jetbrains.kotlinx:kotlinx-datetime:${Versions.kotlinxDateTime}"
+    inline val kotlinCompiler get() = "org.jetbrains.kotlin:kotlin-compiler:${Versions.kotlin}"
+    inline val kotlinScriptRuntime get() = "org.jetbrains.kotlin:kotlin-script-runtime:${Versions.kotlin}"
+    inline val kotlinAnnotationsJvm get() = "org.jetbrains.kotlin:kotlin-annotations-jvm:${Versions.kotlin}"
+    inline val kotlinCompilerInternalTestFramework get() = "org.jetbrains.kotlin:kotlin-compiler-internal-test-framework:${Versions.kotlin}"
 }
 
 
diff --git a/buildSrc/src/main/kotlin/Helpers.kt b/buildSrc/src/main/kotlin/Helpers.kt
index e62a8dae..0f0f3c40 100644
--- a/buildSrc/src/main/kotlin/Helpers.kt
+++ b/buildSrc/src/main/kotlin/Helpers.kt
@@ -18,6 +18,11 @@ fun DependencyHandler.testImplementation(vararg dependencyNotations: Any): List<
         add("testImplementation", it)
     }
 
+fun DependencyHandler.testRuntimeOnly(vararg dependencyNotations: Any): List<Dependency?> =
+    dependencyNotations.map {
+        add("testRuntimeOnly", it)
+    }
+
 fun DependencyHandler.implementation(vararg dependencyNotations: Any): List<Dependency?> =
     dependencyNotations.map {
         add("implementation", it)
diff --git a/buildSrc/src/main/kotlin/Plugins.kt b/buildSrc/src/main/kotlin/Plugins.kt
index 354727db..3b5f66af 100644
--- a/buildSrc/src/main/kotlin/Plugins.kt
+++ b/buildSrc/src/main/kotlin/Plugins.kt
@@ -33,3 +33,6 @@ inline val Project.mavenPublishBase
 inline val PluginDependenciesSpec.jupyter
     get() = kotlin("jupyter.api") version Versions.jupyter
 
+inline val PluginDependenciesSpec.buildconfig
+    get() = id("com.github.gmazzo.buildconfig")
+
diff --git a/buildSrc/src/main/kotlin/Projects.kt b/buildSrc/src/main/kotlin/Projects.kt
index a84f4d80..16c03483 100644
--- a/buildSrc/src/main/kotlin/Projects.kt
+++ b/buildSrc/src/main/kotlin/Projects.kt
@@ -26,4 +26,10 @@ object Projects {
 
     inline val Project.scalaTuplesInKotlin
         get() = searchProject("scala-tuples-in-kotlin")
+
+    inline val Project.compilerPlugin
+        get() = searchProject("compiler-plugin")
+
+    inline val Project.gradlePlugin
+        get() = searchProject("gradle-plugin")
 }
\ No newline at end of file
diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index efb7563a..c8b09d24 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -1,21 +1,24 @@
 object Versions {
     const val project = "1.2.5-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
-    const val kotlin = "1.9.22"
+    const val kotlin = "2.0.0-Beta5"
     const val jvmTarget = "8"
     const val jupyterJvmTarget = "8"
     inline val spark get() = System.getProperty("spark") as String
-
     inline val scala get() = System.getProperty("scala") as String
     inline val sparkMinor get() = spark.substringBeforeLast('.')
-    inline val scalaCompat get() = scala.substringBeforeLast('.')
 
+    inline val scalaCompat get() = scala.substringBeforeLast('.')
     // TODO
     inline val sparkConnect get() = System.getProperty("sparkConnect", "false").toBoolean()
-
     const val jupyter = "0.12.0-32-1"
 
     const val kotest = "5.5.4"
+
+    const val buildconfig = "5.3.5"
+
+    const val junitJupiterEngine = "5.8.1"
+    const val junit = "4.13.2"
     const val kotestTestContainers = "1.3.3"
     const val dokka = "1.8.20"
     const val jcp = "7.0.5"
diff --git a/compiler-plugin/build.gradle.kts b/compiler-plugin/build.gradle.kts
new file mode 100644
index 00000000..2644c065
--- /dev/null
+++ b/compiler-plugin/build.gradle.kts
@@ -0,0 +1,92 @@
+import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
+
+plugins {
+    java
+    kotlin
+    mavenPublishBase
+    buildconfig
+}
+
+group = Versions.groupID
+version = Versions.project
+
+repositories {
+    mavenCentral()
+    maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/bootstrap")
+}
+
+sourceSets {
+    test {
+        val srcDirs = listOf("src/test-gen/kotlin")
+        kotlin.srcDirs(srcDirs)
+        java.srcDirs(srcDirs)
+    }
+}
+
+dependencies {
+    with(Dependencies) {
+        compileOnly(kotlinCompiler)
+
+        testRuntimeOnly(
+            kotlinTest,
+            kotlinScriptRuntime,
+            kotlinAnnotationsJvm,
+        )
+
+        testImplementation(
+            kotlinCompiler,
+            reflect,
+            kotlinCompilerInternalTestFramework,
+            junit,
+
+            platform(junitBom),
+            junitJupiter,
+            junitPlatformCommons,
+            junitPlatformLauncher,
+            junitPlatformRunner,
+            junitPlatformSuiteApi,
+        )
+    }
+}
+
+tasks.test {
+    useJUnitPlatform()
+    doFirst {
+        setLibraryProperty("org.jetbrains.kotlin.test.kotlin-stdlib", "kotlin-stdlib")
+        setLibraryProperty("org.jetbrains.kotlin.test.kotlin-stdlib-jdk8", "kotlin-stdlib-jdk8")
+        setLibraryProperty("org.jetbrains.kotlin.test.kotlin-reflect", "kotlin-reflect")
+        setLibraryProperty("org.jetbrains.kotlin.test.kotlin-test", "kotlin-test")
+        setLibraryProperty("org.jetbrains.kotlin.test.kotlin-script-runtime", "kotlin-script-runtime")
+        setLibraryProperty("org.jetbrains.kotlin.test.kotlin-annotations-jvm", "kotlin-annotations-jvm")
+    }
+}
+
+tasks.withType<KotlinCompile>().configureEach {
+    kotlinOptions {
+        languageVersion = "2.0"
+        freeCompilerArgs = freeCompilerArgs +
+                "-opt-in=org.jetbrains.kotlin.compiler.plugin.ExperimentalCompilerApi" +
+                "-Xcontext-receivers"
+    }
+}
+
+val generateTests by tasks.creating(JavaExec::class) {
+    classpath = sourceSets.test.get().runtimeClasspath
+    mainClass.set("org.jetbrains.kotlinx.spark.compilerPlugin.GenerateTestsKt")
+}
+
+val compileTestKotlin by tasks.getting {
+    doLast {
+        generateTests.exec()
+    }
+}
+
+fun Test.setLibraryProperty(propName: String, jarName: String) {
+    val path = project.configurations
+        .testRuntimeClasspath.get()
+        .files
+        .find { """$jarName-\d.*jar""".toRegex().matches(it.name) }
+        ?.absolutePath
+        ?: return
+    systemProperty(propName, path)
+}
\ No newline at end of file
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SimplePluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SimplePluginRegistrar.kt
new file mode 100644
index 00000000..2acc6cdc
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SimplePluginRegistrar.kt
@@ -0,0 +1,8 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin
+
+import org.jetbrains.kotlin.fir.extensions.FirExtensionRegistrar
+
+// Potential future K2 FIR hook
+class SimplePluginRegistrar(private val sparkifyAnnotationFqNames: List<String>) : FirExtensionRegistrar() {
+    override fun ExtensionRegistrarContext.configurePlugin() {}
+}
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCommandLineProcessor.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCommandLineProcessor.kt
new file mode 100644
index 00000000..c5081347
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCommandLineProcessor.kt
@@ -0,0 +1,72 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin
+
+import org.jetbrains.kotlin.compiler.plugin.AbstractCliOption
+import org.jetbrains.kotlin.compiler.plugin.CliOption
+import org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
+import org.jetbrains.kotlin.config.CompilerConfiguration
+import org.jetbrains.kotlin.config.CompilerConfigurationKey
+import org.jetbrains.kotlinx.spark.Artifacts
+
+open class SparkifyCommandLineProcessor : CommandLineProcessor {
+
+    init {
+        println("SparkifyCommandLineProcessor loaded")
+    }
+
+    override val pluginId: String = Artifacts.compilerPluginId
+
+    override val pluginOptions: Collection<AbstractCliOption> = listOf(
+        OPTION_ENABLED,
+        OPTION_SPARKIFY_ANNOTATION_FQ_NAMES,
+        OPTION_COLUMN_NAME_ANNOTATION_FQ_NAMES,
+    )
+
+    override fun processOption(option: AbstractCliOption, value: String, configuration: CompilerConfiguration) {
+        when (val optionName = option.optionName) {
+            OPTION_ENABLED.optionName ->
+                configuration.put(KEY_ENABLED, value.toBoolean())
+
+            OPTION_SPARKIFY_ANNOTATION_FQ_NAMES.optionName ->
+                configuration.put(KEY_SPARKIFY_ANNOTATION_FQ_NAMES, value.split(",").map { it.trim() })
+
+            OPTION_COLUMN_NAME_ANNOTATION_FQ_NAMES.optionName ->
+                configuration.put(KEY_COLUMN_NAME_ANNOTATION_FQ_NAMES, value.split(",").map { it.trim() })
+
+            else -> error("Unexpected option: $optionName")
+        }
+    }
+}
+
+internal val KEY_ENABLED = CompilerConfigurationKey<Boolean>("Whether to enable Sparkify")
+
+internal val OPTION_ENABLED = CliOption(
+    optionName = "enabled",
+    valueDescription = "<true|false>",
+    description = "Whether to enable Sparkify",
+    required = false,
+    allowMultipleOccurrences = false,
+)
+
+internal val KEY_SPARKIFY_ANNOTATION_FQ_NAMES = CompilerConfigurationKey<List<String>>(
+    "Fully qualified names of annotations for Sparkify"
+)
+
+internal val OPTION_SPARKIFY_ANNOTATION_FQ_NAMES = CliOption(
+    optionName = "sparkifyAnnotationFqNames",
+    valueDescription = "<fqName1,fqName2,...>",
+    description = "Fully qualified names of annotations to sparkify",
+    required = false,
+    allowMultipleOccurrences = false,
+)
+
+internal val KEY_COLUMN_NAME_ANNOTATION_FQ_NAMES = CompilerConfigurationKey<List<String>>(
+    "Fully qualified names of annotations for ColumnName"
+)
+
+internal val OPTION_COLUMN_NAME_ANNOTATION_FQ_NAMES = CliOption(
+    optionName = "columnNameAnnotationFqNames",
+    valueDescription = "<fqName1,fqName2,...>",
+    description = "Fully qualified names of annotations for ColumnName",
+    required = false,
+    allowMultipleOccurrences = false,
+)
\ No newline at end of file
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCompilerPluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
new file mode 100644
index 00000000..264b5a3b
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
@@ -0,0 +1,33 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin
+
+import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
+import org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
+import org.jetbrains.kotlin.config.CompilerConfiguration
+import org.jetbrains.kotlinx.spark.Artifacts
+import org.jetbrains.kotlinx.spark.compilerPlugin.ir.SparkifyIrGenerationExtension
+
+open class SparkifyCompilerPluginRegistrar: CompilerPluginRegistrar() {
+    init {
+        println("SparkifyCompilerPluginRegistrar loaded")
+    }
+
+    override val supportsK2: Boolean
+        get() = true
+
+    override fun ExtensionStorage.registerExtensions(configuration: CompilerConfiguration) {
+        if (configuration.get(KEY_ENABLED) != true) return
+
+        val sparkifyAnnotationFqNames = configuration.get(KEY_SPARKIFY_ANNOTATION_FQ_NAMES)
+            ?: listOf(Artifacts.defaultSparkifyFqName)
+
+        val columnNameAnnotationFqNames = configuration.get(KEY_COLUMN_NAME_ANNOTATION_FQ_NAMES)
+            ?: listOf(Artifacts.defaultColumnNameFqName)
+
+        IrGenerationExtension.registerExtension(
+            SparkifyIrGenerationExtension(
+                sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+                columnNameAnnotationFqNames = columnNameAnnotationFqNames,
+            )
+        )
+    }
+}
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
new file mode 100644
index 00000000..7e39ab38
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
@@ -0,0 +1,116 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin.ir
+
+import org.jetbrains.kotlin.backend.common.extensions.IrPluginContext
+import org.jetbrains.kotlin.ir.IrElement
+import org.jetbrains.kotlin.ir.UNDEFINED_OFFSET
+import org.jetbrains.kotlin.ir.backend.js.utils.valueArguments
+import org.jetbrains.kotlin.ir.declarations.IrClass
+import org.jetbrains.kotlin.ir.declarations.IrDeclaration
+import org.jetbrains.kotlin.ir.declarations.IrFile
+import org.jetbrains.kotlin.ir.declarations.IrModuleFragment
+import org.jetbrains.kotlin.ir.declarations.IrProperty
+import org.jetbrains.kotlin.ir.expressions.IrConst
+import org.jetbrains.kotlin.ir.expressions.impl.IrConstImpl
+import org.jetbrains.kotlin.ir.expressions.impl.IrConstructorCallImpl
+import org.jetbrains.kotlin.ir.types.defaultType
+import org.jetbrains.kotlin.ir.util.constructors
+import org.jetbrains.kotlin.ir.util.hasAnnotation
+import org.jetbrains.kotlin.ir.util.isAnnotationWithEqualFqName
+import org.jetbrains.kotlin.ir.util.parentAsClass
+import org.jetbrains.kotlin.ir.util.primaryConstructor
+import org.jetbrains.kotlin.ir.visitors.IrElementVisitorVoid
+import org.jetbrains.kotlin.ir.visitors.acceptChildrenVoid
+import org.jetbrains.kotlin.name.ClassId
+import org.jetbrains.kotlin.name.FqName
+
+class DataClassPropertyAnnotationGenerator(
+    private val pluginContext: IrPluginContext,
+    private val sparkifyAnnotationFqNames: List<String>,
+    private val columnNameAnnotationFqNames: List<String>,
+) : IrElementVisitorVoid {
+
+    init {
+        require(sparkifyAnnotationFqNames.isNotEmpty()) {
+            "At least one sparkify annotation must be provided"
+        }
+        require(columnNameAnnotationFqNames.isNotEmpty()) {
+            "At least one column name annotation must be provided"
+        }
+    }
+
+    override fun visitElement(element: IrElement) {
+        when (element) {
+            is IrDeclaration,
+            is IrFile,
+            is IrModuleFragment -> element.acceptChildrenVoid(this)
+        }
+    }
+
+    override fun visitProperty(declaration: IrProperty) {
+        val origin = declaration.parent as? IrClass ?: return super.visitProperty(declaration)
+        if (sparkifyAnnotationFqNames.none { origin.hasAnnotation(FqName(it)) })
+            return super.visitProperty(declaration)
+
+        // must be in primary constructor
+        val constructorParams = declaration.parentAsClass.primaryConstructor?.valueParameters
+            ?: return super.visitProperty(declaration)
+
+        if (declaration.name !in constructorParams.map { it.name })
+            return super.visitProperty(declaration)
+
+        val getter = declaration.getter ?: return super.visitProperty(declaration)
+
+        // Let's find if there's a ColumnName annotation
+        val columnNameAnnotationFqNames = columnNameAnnotationFqNames.map { FqName(it) }
+
+        val allAnnotations = declaration.annotations +
+                getter.annotations +
+                constructorParams.first { it.name == declaration.name }.annotations
+        val columnNameAnnotation = allAnnotations
+            .firstOrNull { annotation ->
+                columnNameAnnotationFqNames.any {
+                    annotation.isAnnotationWithEqualFqName(it) &&
+                            annotation.valueArguments.count {
+                                it?.type == pluginContext.irBuiltIns.stringType
+                            } >= 1
+                }
+            }
+
+        // if there is, get the ColumnName value, else use the property name as newName
+        val columnName = columnNameAnnotation
+            ?.valueArguments
+            ?.firstOrNull { it?.type == pluginContext.irBuiltIns.stringType }
+            ?.let { it as? IrConst<*> }
+            ?.value as? String
+        val newName = columnName ?: declaration.name.identifier
+
+        val jvmNameFqName = FqName(JvmName::class.qualifiedName!!)
+
+        // remove previous JvmNames
+        getter.annotations = getter.annotations
+            .filterNot { it.isAnnotationWithEqualFqName(jvmNameFqName) }
+
+        // create a new JvmName annotation with newName
+        val jvmNameClassId = ClassId(jvmNameFqName.parent(), jvmNameFqName.shortName())
+        val jvmName = pluginContext.referenceClass(jvmNameClassId)!!
+        val jvmNameConstructor = jvmName
+            .constructors
+            .firstOrNull()!!
+
+        val jvmNameAnnotationCall = IrConstructorCallImpl.fromSymbolOwner(
+            type = jvmName.defaultType,
+            constructorSymbol = jvmNameConstructor,
+        )
+        jvmNameAnnotationCall.putValueArgument(
+            index = 0,
+            valueArgument = IrConstImpl.string(
+                startOffset = UNDEFINED_OFFSET,
+                endOffset = UNDEFINED_OFFSET,
+                type = pluginContext.irBuiltIns.stringType,
+                value = newName,
+            )
+        )
+        getter.annotations += jvmNameAnnotationCall
+        println("Added @get:JvmName(\"$newName\") annotation to property ${origin.name}.${declaration.name}")
+    }
+}
\ No newline at end of file
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/SparkifyIrGenerationExtension.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
new file mode 100644
index 00000000..ca2e9bbd
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
@@ -0,0 +1,24 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin.ir
+
+import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
+import org.jetbrains.kotlin.backend.common.extensions.IrPluginContext
+import org.jetbrains.kotlin.ir.declarations.IrModuleFragment
+import org.jetbrains.kotlin.ir.visitors.acceptChildrenVoid
+
+class SparkifyIrGenerationExtension(
+    private val sparkifyAnnotationFqNames: List<String>,
+    private val columnNameAnnotationFqNames: List<String>,
+) : IrGenerationExtension {
+    override fun generate(moduleFragment: IrModuleFragment, pluginContext: IrPluginContext) {
+        val visitors = listOf(
+            DataClassPropertyAnnotationGenerator(
+                pluginContext = pluginContext,
+                sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+                columnNameAnnotationFqNames = columnNameAnnotationFqNames,
+            ),
+        )
+        for (visitor in visitors) {
+            moduleFragment.acceptChildrenVoid(visitor)
+        }
+    }
+}
diff --git a/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
new file mode 100644
index 00000000..4d95540d
--- /dev/null
+++ b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
@@ -0,0 +1 @@
+org.jetbrains.kotlinx.spark.compilerPlugin.SparkifyCommandLineProcessor
diff --git a/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
new file mode 100644
index 00000000..f1d5a663
--- /dev/null
+++ b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
@@ -0,0 +1 @@
+org.jetbrains.kotlinx.spark.compilerPlugin.SparkifyCompilerPluginRegistrar
diff --git a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BoxTestGenerated.java b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BoxTestGenerated.java
new file mode 100644
index 00000000..70904cb8
--- /dev/null
+++ b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BoxTestGenerated.java
@@ -0,0 +1,29 @@
+
+
+package org.jetbrains.kotlinx.spark.compilerPlugin.runners;
+
+import com.intellij.testFramework.TestDataPath;
+import org.jetbrains.kotlin.test.util.KtTestUtil;
+import org.jetbrains.kotlin.test.TargetBackend;
+import org.jetbrains.kotlin.test.TestMetadata;
+import org.junit.jupiter.api.Test;
+
+import java.io.File;
+import java.util.regex.Pattern;
+
+/** This class is generated by {@link org.jetbrains.kotlinx.spark.compilerPlugin.GenerateTestsKt}. DO NOT MODIFY MANUALLY */
+@SuppressWarnings("all")
+@TestMetadata("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box")
+@TestDataPath("$PROJECT_ROOT")
+public class BoxTestGenerated extends AbstractBoxTest {
+  @Test
+  public void testAllFilesPresentInBox() {
+    KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box"), Pattern.compile("^(.+)\\.kt$"), null, TargetBackend.JVM_IR, true);
+  }
+
+  @Test
+  @TestMetadata("dataClassTest.kt")
+  public void testDataClassTest() {
+    runTest("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt");
+  }
+}
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/GenerateTests.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/GenerateTests.kt
new file mode 100644
index 00000000..8b74142c
--- /dev/null
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/GenerateTests.kt
@@ -0,0 +1,22 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin
+
+import org.jetbrains.kotlin.generators.generateTestGroupSuiteWithJUnit5
+import org.jetbrains.kotlinx.spark.Artifacts
+import org.jetbrains.kotlinx.spark.compilerPlugin.runners.AbstractBoxTest
+
+fun main() {
+    generateTestGroupSuiteWithJUnit5 {
+        testGroup(
+            testDataRoot = "${Artifacts.projectRoot}/${Artifacts.compilerPluginArtifactId}/src/test/resources/testData",
+            testsRoot = "${Artifacts.projectRoot}/${Artifacts.compilerPluginArtifactId}/src/test-gen/kotlin",
+        ) {
+//            testClass<AbstractDiagnosticTest> {
+//                model("diagnostics")
+//            }
+
+            testClass<AbstractBoxTest> {
+                model("box")
+            }
+        }
+    }
+}
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractBoxTest.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractBoxTest.kt
new file mode 100644
index 00000000..ed2608b1
--- /dev/null
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractBoxTest.kt
@@ -0,0 +1,61 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin.runners
+
+import org.jetbrains.kotlin.platform.jvm.JvmPlatforms
+import org.jetbrains.kotlin.test.FirParser
+import org.jetbrains.kotlin.test.TargetBackend
+import org.jetbrains.kotlin.test.backend.BlackBoxCodegenSuppressor
+import org.jetbrains.kotlin.test.backend.handlers.IrTextDumpHandler
+import org.jetbrains.kotlin.test.backend.handlers.IrTreeVerifierHandler
+import org.jetbrains.kotlin.test.backend.handlers.JvmBoxRunner
+import org.jetbrains.kotlin.test.backend.ir.JvmIrBackendFacade
+import org.jetbrains.kotlin.test.builders.TestConfigurationBuilder
+import org.jetbrains.kotlin.test.builders.fir2IrStep
+import org.jetbrains.kotlin.test.builders.irHandlersStep
+import org.jetbrains.kotlin.test.builders.jvmArtifactsHandlersStep
+import org.jetbrains.kotlin.test.directives.CodegenTestDirectives.DUMP_IR
+import org.jetbrains.kotlin.test.directives.configureFirParser
+import org.jetbrains.kotlin.test.model.DependencyKind
+import org.jetbrains.kotlin.test.runners.RunnerWithTargetBackendForTestGeneratorMarker
+
+/*
+ * Containers of different directives, which can be used in tests:
+ * - ModuleStructureDirectives
+ * - LanguageSettingsDirectives
+ * - DiagnosticsDirectives
+ * - CodegenTestDirectives
+ *
+ * All of them are located in `org.jetbrains.kotlin.test.directives` package
+ */
+open class AbstractBoxTest : BaseTestRunner(), RunnerWithTargetBackendForTestGeneratorMarker {
+    override val targetBackend: TargetBackend
+        get() = TargetBackend.JVM_IR
+
+    override fun TestConfigurationBuilder.configuration() {
+        globalDefaults {
+            targetBackend = TargetBackend.JVM_IR
+            targetPlatform = JvmPlatforms.defaultJvmPlatform
+            dependencyKind = DependencyKind.Binary
+        }
+
+        configureFirParser(FirParser.Psi)
+
+        defaultDirectives {
+            +DUMP_IR
+        }
+
+        commonFirWithPluginFrontendConfiguration()
+        fir2IrStep()
+        irHandlersStep {
+            useHandlers(
+                ::IrTextDumpHandler,
+                ::IrTreeVerifierHandler,
+            )
+        }
+        facadeStep(::JvmIrBackendFacade)
+        jvmArtifactsHandlersStep {
+            useHandlers(::JvmBoxRunner)
+        }
+
+        useAfterAnalysisCheckers(::BlackBoxCodegenSuppressor)
+    }
+}
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractDiagnosticTest.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractDiagnosticTest.kt
new file mode 100644
index 00000000..626186aa
--- /dev/null
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractDiagnosticTest.kt
@@ -0,0 +1,21 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin.runners
+
+import org.jetbrains.kotlin.test.FirParser
+import org.jetbrains.kotlin.test.builders.TestConfigurationBuilder
+import org.jetbrains.kotlin.test.directives.ConfigurationDirectives.WITH_STDLIB
+import org.jetbrains.kotlin.test.directives.FirDiagnosticsDirectives.FIR_DUMP
+import org.jetbrains.kotlin.test.directives.configureFirParser
+import org.jetbrains.kotlin.test.runners.baseFirDiagnosticTestConfiguration
+import org.jetbrains.kotlin.test.services.EnvironmentBasedStandardLibrariesPathProvider
+import org.jetbrains.kotlin.test.services.KotlinStandardLibrariesPathProvider
+
+abstract class AbstractDiagnosticTest : BaseTestRunner() {
+    override fun TestConfigurationBuilder.configuration() {
+        commonFirWithPluginFrontendConfiguration()
+        configureFirParser(FirParser.Psi)
+    }
+
+    override fun createKotlinStandardLibrariesPathProvider(): KotlinStandardLibrariesPathProvider {
+        return EnvironmentBasedStandardLibrariesPathProvider
+    }
+}
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BaseTestRunner.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BaseTestRunner.kt
new file mode 100644
index 00000000..f43cd4ce
--- /dev/null
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BaseTestRunner.kt
@@ -0,0 +1,40 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin.runners
+
+import org.jetbrains.kotlin.test.builders.TestConfigurationBuilder
+import org.jetbrains.kotlin.test.directives.FirDiagnosticsDirectives
+import org.jetbrains.kotlin.test.directives.JvmEnvironmentConfigurationDirectives
+import org.jetbrains.kotlin.test.initIdeaConfiguration
+import org.jetbrains.kotlin.test.runners.AbstractKotlinCompilerTest
+import org.jetbrains.kotlin.test.runners.baseFirDiagnosticTestConfiguration
+import org.jetbrains.kotlin.test.services.EnvironmentBasedStandardLibrariesPathProvider
+import org.jetbrains.kotlin.test.services.KotlinStandardLibrariesPathProvider
+import org.jetbrains.kotlinx.spark.compilerPlugin.services.ExtensionRegistrarConfigurator
+import org.junit.jupiter.api.BeforeAll
+
+abstract class BaseTestRunner : AbstractKotlinCompilerTest() {
+    companion object {
+        @BeforeAll
+        @JvmStatic
+        fun setUp() {
+            initIdeaConfiguration()
+        }
+    }
+
+    override fun createKotlinStandardLibrariesPathProvider(): KotlinStandardLibrariesPathProvider {
+        return EnvironmentBasedStandardLibrariesPathProvider
+    }
+}
+
+fun TestConfigurationBuilder.commonFirWithPluginFrontendConfiguration() {
+    baseFirDiagnosticTestConfiguration()
+
+    defaultDirectives {
+        +FirDiagnosticsDirectives.ENABLE_PLUGIN_PHASES
+        +FirDiagnosticsDirectives.FIR_DUMP
+        +JvmEnvironmentConfigurationDirectives.FULL_JDK
+    }
+
+    useConfigurators(
+        ::ExtensionRegistrarConfigurator
+    )
+}
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/services/ExtensionRegistrarConfigurator.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
new file mode 100644
index 00000000..563af572
--- /dev/null
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
@@ -0,0 +1,25 @@
+package org.jetbrains.kotlinx.spark.compilerPlugin.services
+
+import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
+import org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
+import org.jetbrains.kotlin.config.CompilerConfiguration
+import org.jetbrains.kotlin.test.model.TestModule
+import org.jetbrains.kotlin.test.services.EnvironmentConfigurator
+import org.jetbrains.kotlin.test.services.TestServices
+import org.jetbrains.kotlinx.spark.compilerPlugin.ir.SparkifyIrGenerationExtension
+
+class ExtensionRegistrarConfigurator(testServices: TestServices) : EnvironmentConfigurator(testServices) {
+    override fun CompilerPluginRegistrar.ExtensionStorage.registerCompilerExtensions(
+        module: TestModule,
+        configuration: CompilerConfiguration,
+    ) {
+        val sparkifyAnnotationFqNames = listOf("foo.bar.Sparkify")
+        val columnNameAnnotationFqNames = listOf("foo.bar.ColumnName")
+        IrGenerationExtension.registerExtension(
+            SparkifyIrGenerationExtension(
+                sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+                columnNameAnnotationFqNames = columnNameAnnotationFqNames,
+            )
+        )
+    }
+}
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
new file mode 100644
index 00000000..68834cea
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
@@ -0,0 +1,539 @@
+FILE fqName:foo.bar fileName:/dataClassTest.kt
+  CLASS ANNOTATION_CLASS name:ColumnName modality:OPEN visibility:public superTypes:[kotlin.Annotation]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.ColumnName
+    PROPERTY name:name visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'name: kotlin.String declared in foo.bar.ColumnName.<init>' type=kotlin.String origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-name> visibility:public modality:FINAL <> ($this:foo.bar.ColumnName) returnType:kotlin.String
+        correspondingProperty: PROPERTY name:name visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.ColumnName
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-name> (): kotlin.String declared in foo.bar.ColumnName'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.ColumnName declared in foo.bar.ColumnName.<get-name>' type=foo.bar.ColumnName origin=null
+    CONSTRUCTOR visibility:public <> (name:kotlin.String) returnType:foo.bar.ColumnName [primary]
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS ANNOTATION_CLASS name:ColumnName modality:OPEN visibility:public superTypes:[kotlin.Annotation]'
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+  CLASS ANNOTATION_CLASS name:Sparkify modality:OPEN visibility:public superTypes:[kotlin.Annotation]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Sparkify
+    CONSTRUCTOR visibility:public <> () returnType:foo.bar.Sparkify [primary]
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS ANNOTATION_CLASS name:Sparkify modality:OPEN visibility:public superTypes:[kotlin.Annotation]'
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+  CLASS CLASS name:NormalUser modality:FINAL visibility:public [data] superTypes:[kotlin.Any]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.NormalUser
+    PROPERTY name:name visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'name: kotlin.String declared in foo.bar.NormalUser.<init>' type=kotlin.String origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-name> visibility:public modality:FINAL <> ($this:foo.bar.NormalUser) returnType:kotlin.String
+        correspondingProperty: PROPERTY name:name visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-name> (): kotlin.String declared in foo.bar.NormalUser'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.<get-name>' type=foo.bar.NormalUser origin=null
+    PROPERTY name:age visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'age: kotlin.Int declared in foo.bar.NormalUser.<init>' type=kotlin.Int origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-age> visibility:public modality:FINAL <> ($this:foo.bar.NormalUser) returnType:kotlin.Int
+        correspondingProperty: PROPERTY name:age visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-age> (): kotlin.Int declared in foo.bar.NormalUser'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+              receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.<get-age>' type=foo.bar.NormalUser origin=null
+    CONSTRUCTOR visibility:public <> (name:kotlin.String, age:kotlin.Int) returnType:foo.bar.NormalUser [primary]
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+        EXPRESSION_BODY
+          CONST String type=kotlin.String value="John Doe"
+      VALUE_PARAMETER name:age index:1 type:kotlin.Int
+        EXPRESSION_BODY
+          CONST Int type=kotlin.Int value=25
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:NormalUser modality:FINAL visibility:public [data] superTypes:[kotlin.Any]'
+    FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.NormalUser) returnType:kotlin.String [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component1 (): kotlin.String declared in foo.bar.NormalUser'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+            receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.component1' type=foo.bar.NormalUser origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:component2 visibility:public modality:FINAL <> ($this:foo.bar.NormalUser) returnType:kotlin.Int [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component2 (): kotlin.Int declared in foo.bar.NormalUser'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+            receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.component2' type=foo.bar.NormalUser origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:copy visibility:public modality:FINAL <> ($this:foo.bar.NormalUser, name:kotlin.String, age:kotlin.Int) returnType:foo.bar.NormalUser
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+            receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.copy' type=foo.bar.NormalUser origin=null
+      VALUE_PARAMETER name:age index:1 type:kotlin.Int
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+            receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.copy' type=foo.bar.NormalUser origin=null
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun copy (name: kotlin.String, age: kotlin.Int): foo.bar.NormalUser declared in foo.bar.NormalUser'
+          CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int) declared in foo.bar.NormalUser' type=foo.bar.NormalUser origin=null
+            name: GET_VAR 'name: kotlin.String declared in foo.bar.NormalUser.copy' type=kotlin.String origin=null
+            age: GET_VAR 'age: kotlin.Int declared in foo.bar.NormalUser.copy' type=kotlin.Int origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:equals visibility:public modality:OPEN <> ($this:foo.bar.NormalUser, other:kotlin.Any?) returnType:kotlin.Boolean [operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+      BLOCK_BODY
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun EQEQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQEQ
+              arg0: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.equals' type=foo.bar.NormalUser origin=null
+              arg1: GET_VAR 'other: kotlin.Any? declared in foo.bar.NormalUser.equals' type=kotlin.Any? origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.NormalUser'
+              CONST Boolean type=kotlin.Boolean value=true
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: TYPE_OP type=kotlin.Boolean origin=NOT_INSTANCEOF typeOperand=foo.bar.NormalUser
+              GET_VAR 'other: kotlin.Any? declared in foo.bar.NormalUser.equals' type=kotlin.Any? origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.NormalUser'
+              CONST Boolean type=kotlin.Boolean value=false
+        VAR IR_TEMPORARY_VARIABLE name:tmp_0 type:foo.bar.NormalUser [val]
+          TYPE_OP type=foo.bar.NormalUser origin=CAST typeOperand=foo.bar.NormalUser
+            GET_VAR 'other: kotlin.Any? declared in foo.bar.NormalUser.equals' type=kotlin.Any? origin=null
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.equals' type=foo.bar.NormalUser origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR 'val tmp_0: foo.bar.NormalUser declared in foo.bar.NormalUser.equals' type=foo.bar.NormalUser origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.NormalUser'
+              CONST Boolean type=kotlin.Boolean value=false
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.equals' type=foo.bar.NormalUser origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR 'val tmp_0: foo.bar.NormalUser declared in foo.bar.NormalUser.equals' type=foo.bar.NormalUser origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.NormalUser'
+              CONST Boolean type=kotlin.Boolean value=false
+        RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.NormalUser'
+          CONST Boolean type=kotlin.Boolean value=true
+    FUN GENERATED_DATA_CLASS_MEMBER name:hashCode visibility:public modality:OPEN <> ($this:foo.bar.NormalUser) returnType:kotlin.Int
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+      BLOCK_BODY
+        VAR name:result type:kotlin.Int [var]
+          CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.String' type=kotlin.Int origin=null
+            $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.hashCode' type=foo.bar.NormalUser origin=null
+        SET_VAR 'var result: kotlin.Int declared in foo.bar.NormalUser.hashCode' type=kotlin.Unit origin=EQ
+          CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+            $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.NormalUser.hashCode' type=kotlin.Int origin=null
+              other: CONST Int type=kotlin.Int value=31
+            other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.hashCode' type=foo.bar.NormalUser origin=null
+        RETURN type=kotlin.Nothing from='public open fun hashCode (): kotlin.Int declared in foo.bar.NormalUser'
+          GET_VAR 'var result: kotlin.Int declared in foo.bar.NormalUser.hashCode' type=kotlin.Int origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:toString visibility:public modality:OPEN <> ($this:foo.bar.NormalUser) returnType:kotlin.String
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.NormalUser
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun toString (): kotlin.String declared in foo.bar.NormalUser'
+          STRING_CONCATENATION type=kotlin.String
+            CONST String type=kotlin.String value="NormalUser("
+            CONST String type=kotlin.String value="name="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.toString' type=foo.bar.NormalUser origin=null
+            CONST String type=kotlin.String value=", "
+            CONST String type=kotlin.String value="age="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+              receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.toString' type=foo.bar.NormalUser origin=null
+            CONST String type=kotlin.String value=")"
+  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]
+    annotations:
+      Sparkify
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.User
+    PROPERTY name:name visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'name: kotlin.String declared in foo.bar.User.<init>' type=kotlin.String origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-name> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.String
+        annotations:
+          JvmName(name = "name")
+        correspondingProperty: PROPERTY name:name visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-name> (): kotlin.String declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-name>' type=foo.bar.User origin=null
+    PROPERTY name:age visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'age: kotlin.Int declared in foo.bar.User.<init>' type=kotlin.Int origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-age> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Int
+        annotations:
+          JvmName(name = "age")
+        correspondingProperty: PROPERTY name:age visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-age> (): kotlin.Int declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-age>' type=foo.bar.User origin=null
+    PROPERTY name:test visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'test: kotlin.Double declared in foo.bar.User.<init>' type=kotlin.Double origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-test> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double
+        annotations:
+          JvmName(name = "a")
+        correspondingProperty: PROPERTY name:test visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-test> (): kotlin.Double declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-test>' type=foo.bar.User origin=null
+    PROPERTY name:test2 visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'test2: kotlin.Double declared in foo.bar.User.<init>' type=kotlin.Double origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-test2> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double
+        annotations:
+          ColumnName(name = "b")
+          JvmName(name = "b")
+        correspondingProperty: PROPERTY name:test2 visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-test2> (): kotlin.Double declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-test2>' type=foo.bar.User origin=null
+    CONSTRUCTOR visibility:public <> (name:kotlin.String, age:kotlin.Int, test:kotlin.Double, test2:kotlin.Double) returnType:foo.bar.User [primary]
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+        EXPRESSION_BODY
+          CONST String type=kotlin.String value="John Doe"
+      VALUE_PARAMETER name:age index:1 type:kotlin.Int
+        EXPRESSION_BODY
+          CONST Int type=kotlin.Int value=25
+      VALUE_PARAMETER name:test index:2 type:kotlin.Double
+        annotations:
+          ColumnName(name = "a")
+        EXPRESSION_BODY
+          CONST Double type=kotlin.Double value=1.0
+      VALUE_PARAMETER name:test2 index:3 type:kotlin.Double
+        EXPRESSION_BODY
+          CONST Double type=kotlin.Double value=2.0
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]'
+    FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.String [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component1 (): kotlin.String declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component1' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:component2 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Int [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component2 (): kotlin.Int declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component2' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:component3 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component3 (): kotlin.Double declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component3' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:component4 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component4 (): kotlin.Double declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component4' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:copy visibility:public modality:FINAL <> ($this:foo.bar.User, name:kotlin.String, age:kotlin.Int, test:kotlin.Double, test2:kotlin.Double) returnType:foo.bar.User
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      VALUE_PARAMETER name:age index:1 type:kotlin.Int
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      VALUE_PARAMETER name:test index:2 type:kotlin.Double
+        annotations:
+          ColumnName(name = "a")
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      VALUE_PARAMETER name:test2 index:3 type:kotlin.Double
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun copy (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double): foo.bar.User declared in foo.bar.User'
+          CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double) declared in foo.bar.User' type=foo.bar.User origin=null
+            name: GET_VAR 'name: kotlin.String declared in foo.bar.User.copy' type=kotlin.String origin=null
+            age: GET_VAR 'age: kotlin.Int declared in foo.bar.User.copy' type=kotlin.Int origin=null
+            test: GET_VAR 'test: kotlin.Double declared in foo.bar.User.copy' type=kotlin.Double origin=null
+            test2: GET_VAR 'test2: kotlin.Double declared in foo.bar.User.copy' type=kotlin.Double origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:equals visibility:public modality:OPEN <> ($this:foo.bar.User, other:kotlin.Any?) returnType:kotlin.Boolean [operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+      BLOCK_BODY
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun EQEQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQEQ
+              arg0: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+              arg1: GET_VAR 'other: kotlin.Any? declared in foo.bar.User.equals' type=kotlin.Any? origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=true
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: TYPE_OP type=kotlin.Boolean origin=NOT_INSTANCEOF typeOperand=foo.bar.User
+              GET_VAR 'other: kotlin.Any? declared in foo.bar.User.equals' type=kotlin.Any? origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        VAR IR_TEMPORARY_VARIABLE name:tmp_1 type:foo.bar.User [val]
+          TYPE_OP type=foo.bar.User origin=CAST typeOperand=foo.bar.User
+            GET_VAR 'other: kotlin.Any? declared in foo.bar.User.equals' type=kotlin.Any? origin=null
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR 'val tmp_1: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR 'val tmp_1: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR 'val tmp_1: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR 'val tmp_1: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+          CONST Boolean type=kotlin.Boolean value=true
+    FUN GENERATED_DATA_CLASS_MEMBER name:hashCode visibility:public modality:OPEN <> ($this:foo.bar.User) returnType:kotlin.Int
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        VAR name:result type:kotlin.Int [var]
+          CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.String' type=kotlin.Int origin=null
+            $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        SET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Unit origin=EQ
+          CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+            $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+              other: CONST Int type=kotlin.Int value=31
+            other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        SET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Unit origin=EQ
+          CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+            $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+              other: CONST Int type=kotlin.Int value=31
+            other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Double' type=kotlin.Int origin=null
+              $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        SET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Unit origin=EQ
+          CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+            $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+              other: CONST Int type=kotlin.Int value=31
+            other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Double' type=kotlin.Int origin=null
+              $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        RETURN type=kotlin.Nothing from='public open fun hashCode (): kotlin.Int declared in foo.bar.User'
+          GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:toString visibility:public modality:OPEN <> ($this:foo.bar.User) returnType:kotlin.String
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun toString (): kotlin.String declared in foo.bar.User'
+          STRING_CONCATENATION type=kotlin.String
+            CONST String type=kotlin.String value="User("
+            CONST String type=kotlin.String value="name="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=", "
+            CONST String type=kotlin.String value="age="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=", "
+            CONST String type=kotlin.String value="test="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=", "
+            CONST String type=kotlin.String value="test2="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=")"
+  FUN name:box visibility:public modality:FINAL <> () returnType:kotlin.String
+    BLOCK_BODY
+      VAR name:user type:foo.bar.User [val]
+        CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double) declared in foo.bar.User' type=foo.bar.User origin=null
+      VAR name:name type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="name"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="age"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="a"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="b"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: WHEN type=kotlin.Boolean origin=OROR
+            BRANCH
+              if: WHEN type=kotlin.Boolean origin=OROR
+                BRANCH
+                  if: WHEN type=kotlin.Boolean origin=OROR
+                    BRANCH
+                      if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                        $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                          arg0: GET_VAR 'val name: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                          arg1: CONST String type=kotlin.String value="John Doe"
+                      then: CONST Boolean type=kotlin.Boolean value=true
+                    BRANCH
+                      if: CONST Boolean type=kotlin.Boolean value=true
+                      then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                        $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                          arg0: GET_VAR 'val age: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                          arg1: CONST Int type=kotlin.Int value=25
+                  then: CONST Boolean type=kotlin.Boolean value=true
+                BRANCH
+                  if: CONST Boolean type=kotlin.Boolean value=true
+                  then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                    $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                      arg0: GET_VAR 'val a: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                      arg1: CONST Double type=kotlin.Double value=1.0
+              then: CONST Boolean type=kotlin.Boolean value=true
+            BRANCH
+              if: CONST Boolean type=kotlin.Boolean value=true
+              then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                  arg0: GET_VAR 'val b: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                  arg1: CONST Double type=kotlin.Double value=2.0
+          then: BLOCK type=kotlin.Unit origin=null
+            RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+              CONST String type=kotlin.String value="Could not invoke functions name(), age(), a(), or b() from Java"
+      TRY type=kotlin.Unit
+        try: BLOCK type=kotlin.Unit origin=null
+          VAR name:normalUser type:foo.bar.NormalUser [val]
+            CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int) declared in foo.bar.NormalUser' type=foo.bar.NormalUser origin=null
+          VAR name:name type:@[FlexibleNullability] kotlin.Any? [val]
+            CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+              $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+                $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.NormalUser> origin=GET_PROPERTY
+                  <T>: foo.bar.NormalUser
+                  $receiver: CLASS_REFERENCE 'CLASS CLASS name:NormalUser modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.NormalUser>
+                p0: CONST String type=kotlin.String value="name"
+              p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+          VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
+            CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+              $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+                $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.NormalUser> origin=GET_PROPERTY
+                  <T>: foo.bar.NormalUser
+                  $receiver: CLASS_REFERENCE 'CLASS CLASS name:NormalUser modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.NormalUser>
+                p0: CONST String type=kotlin.String value="age"
+              p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+        CATCH parameter=val e: java.lang.Exception declared in foo.bar.box
+          VAR CATCH_PARAMETER name:e type:java.lang.Exception [val]
+          BLOCK type=kotlin.Nothing origin=null
+            RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+              CONST String type=kotlin.String value="OK"
+      RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+        CONST String type=kotlin.String value="Fail"
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt
new file mode 100644
index 00000000..abd7219f
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt
@@ -0,0 +1,87 @@
+FILE: dataClassTest.kt
+    package foo.bar
+
+    public final annotation class Sparkify : R|kotlin/Annotation| {
+        public constructor(): R|foo/bar/Sparkify| {
+            super<R|kotlin/Any|>()
+        }
+
+    }
+    public final annotation class ColumnName : R|kotlin/Annotation| {
+        public constructor(name: R|kotlin/String|): R|foo/bar/ColumnName| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+    }
+    public final fun box(): R|kotlin/String| {
+        lval user: R|foo/bar/User| = R|foo/bar/User.User|()
+        lval name: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(name)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval age: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(age)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval a: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(a)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval b: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(b)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        when () {
+            !=(R|<local>/name|, String(John Doe)) || !=(R|<local>/age|, Int(25)) || !=(R|<local>/a|, Double(1.0)) || !=(R|<local>/b|, Double(2.0)) ->  {
+                ^box String(Could not invoke functions name(), age(), a(), or b() from Java)
+            }
+        }
+
+        try {
+            lval normalUser: R|foo/bar/NormalUser| = R|foo/bar/NormalUser.NormalUser|()
+            lval name: R|kotlin/Any!| = <getClass>(Q|foo/bar/NormalUser|).R|kotlin/jvm/java|<R|foo/bar/NormalUser|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(name)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+            lval age: R|kotlin/Any!| = <getClass>(Q|foo/bar/NormalUser|).R|kotlin/jvm/java|<R|foo/bar/NormalUser|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(age)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        }
+        catch (e: R|kotlin/Exception|) {
+            ^box String(OK)
+        }
+
+        ^box String(Fail)
+    }
+    @R|foo/bar/Sparkify|() public final data class User : R|kotlin/Any| {
+        public constructor(name: R|kotlin/String| = String(John Doe), age: R|kotlin/Int| = Int(25), @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = Double(1.0), test2: R|kotlin/Double| = Double(2.0)): R|foo/bar/User| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+        public final val age: R|kotlin/Int| = R|<local>/age|
+            public get(): R|kotlin/Int|
+
+        public final val test: R|kotlin/Double| = R|<local>/test|
+            public get(): R|kotlin/Double|
+
+        public final val test2: R|kotlin/Double| = R|<local>/test2|
+            @PROPERTY_GETTER:R|foo/bar/ColumnName|(name = String(b)) public get(): R|kotlin/Double|
+
+        public final operator fun component1(): R|kotlin/String|
+
+        public final operator fun component2(): R|kotlin/Int|
+
+        public final operator fun component3(): R|kotlin/Double|
+
+        public final operator fun component4(): R|kotlin/Double|
+
+        public final fun copy(name: R|kotlin/String| = this@R|foo/bar/User|.R|foo/bar/User.name|, age: R|kotlin/Int| = this@R|foo/bar/User|.R|foo/bar/User.age|, @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = this@R|foo/bar/User|.R|foo/bar/User.test|, test2: R|kotlin/Double| = this@R|foo/bar/User|.R|foo/bar/User.test2|): R|foo/bar/User|
+
+    }
+    public final data class NormalUser : R|kotlin/Any| {
+        public constructor(name: R|kotlin/String| = String(John Doe), age: R|kotlin/Int| = Int(25)): R|foo/bar/NormalUser| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+        public final val age: R|kotlin/Int| = R|<local>/age|
+            public get(): R|kotlin/Int|
+
+        public final operator fun component1(): R|kotlin/String|
+
+        public final operator fun component2(): R|kotlin/Int|
+
+        public final fun copy(name: R|kotlin/String| = this@R|foo/bar/NormalUser|.R|foo/bar/NormalUser.name|, age: R|kotlin/Int| = this@R|foo/bar/NormalUser|.R|foo/bar/NormalUser.age|): R|foo/bar/NormalUser|
+
+    }
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt b/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt
new file mode 100644
index 00000000..25cd0988
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt
@@ -0,0 +1,39 @@
+package foo.bar
+
+annotation class Sparkify
+annotation class ColumnName(val name: String)
+
+fun box(): String {
+    val user = User()
+    val name = User::class.java.getMethod("name").invoke(user)
+    val age = User::class.java.getMethod("age").invoke(user)
+    val a = User::class.java.getMethod("a").invoke(user)
+    val b = User::class.java.getMethod("b").invoke(user)
+
+    if (name != "John Doe" || age != 25 || a != 1.0 || b != 2.0) {
+        return "Could not invoke functions name(), age(), a(), or b() from Java"
+    }
+
+    try {
+        val normalUser = NormalUser()
+        val name = NormalUser::class.java.getMethod("name").invoke(user)
+        val age = NormalUser::class.java.getMethod("age").invoke(user)
+    } catch (e: Exception) {
+        return "OK"
+    }
+
+    return "Fail"
+}
+
+@Sparkify
+data class User(
+    val name: String = "John Doe",
+    val age: Int = 25,
+    @ColumnName("a") val test: Double = 1.0,
+    @get:ColumnName("b") val test2: Double = 2.0,
+)
+
+data class NormalUser(
+    val name: String = "John Doe",
+    val age: Int = 25,
+)
\ No newline at end of file
diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts
index 90f45fe4..409d2122 100644
--- a/examples/build.gradle.kts
+++ b/examples/build.gradle.kts
@@ -37,8 +37,6 @@ dependencies {
 
 kotlin {
     jvmToolchain {
-        languageVersion.set(
-            JavaLanguageVersion.of(Versions.jvmTarget)
-        )
+        languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
     }
 }
diff --git a/gradle/wrapper/gradle-wrapper.properties b/gradle/wrapper/gradle-wrapper.properties
index 070cb702..a5952066 100644
--- a/gradle/wrapper/gradle-wrapper.properties
+++ b/gradle/wrapper/gradle-wrapper.properties
@@ -1,5 +1,5 @@
 distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-7.6-bin.zip
+distributionUrl=https\://services.gradle.org/distributions/gradle-8.5-bin.zip
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists
diff --git a/jupyter/build.gradle.kts b/jupyter/build.gradle.kts
index bac43fb3..9d02f5a3 100644
--- a/jupyter/build.gradle.kts
+++ b/jupyter/build.gradle.kts
@@ -74,10 +74,10 @@ dependencies {
 val kotlinMainSources = kotlin.sourceSets.main.get().kotlin.sourceDirectories
 
 val preprocessMain by tasks.creating(JcpTask::class) {
-    sources.set(kotlinMainSources)
-    clearTarget.set(true)
-    fileExtensions.set(listOf("kt"))
-    vars.set(Versions.versionMap)
+    sources = kotlinMainSources
+    clearTarget = true
+    fileExtensions = listOf("kt")
+    vars = Versions.versionMap
     outputs.upToDateWhen { target.get().exists() }
 }
 
@@ -110,10 +110,10 @@ tasks.compileKotlin {
 val kotlinTestSources = kotlin.sourceSets.test.get().kotlin.sourceDirectories
 
 val preprocessTest by tasks.creating(JcpTask::class) {
-    sources.set(kotlinTestSources)
-    clearTarget.set(true)
-    fileExtensions.set(listOf("java", "kt"))
-    vars.set(Versions.versionMap)
+    sources = kotlinTestSources
+    clearTarget = true
+    fileExtensions = listOf("java", "kt")
+    vars = Versions.versionMap
     outputs.upToDateWhen { target.get().exists() }
 }
 
@@ -143,9 +143,7 @@ tasks.compileTestKotlin {
 
 kotlin {
     jvmToolchain {
-        languageVersion.set(
-            JavaLanguageVersion.of(Versions.jupyterJvmTarget)
-        )
+        languageVersion = JavaLanguageVersion.of(Versions.jupyterJvmTarget)
     }
 }
 
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index 39c09ba0..34f121c9 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -69,10 +69,10 @@ dependencies {
 val kotlinMainSources = kotlin.sourceSets.main.get().kotlin.sourceDirectories
 
 val preprocessMain by tasks.creating(JcpTask::class) {
-    sources.set(kotlinMainSources)
-    clearTarget.set(true)
-    fileExtensions.set(listOf("kt"))
-    vars.set(Versions.versionMap)
+    sources = kotlinMainSources
+    clearTarget = true
+    fileExtensions = listOf("kt")
+    vars = Versions.versionMap
     outputs.upToDateWhen { target.get().exists() }
 }
 
@@ -108,10 +108,10 @@ tasks.compileKotlin {
 val kotlinTestSources = kotlin.sourceSets.test.get().kotlin.sourceDirectories
 
 val preprocessTest by tasks.creating(JcpTask::class) {
-    sources.set(kotlinTestSources)
-    clearTarget.set(true)
-    fileExtensions.set(listOf("kt"))
-    vars.set(Versions.versionMap)
+    sources = kotlinTestSources
+    clearTarget = true
+    fileExtensions = listOf("kt")
+    vars = Versions.versionMap
     outputs.upToDateWhen { target.get().exists() }
 }
 
@@ -144,9 +144,8 @@ tasks.compileTestKotlin {
 
 kotlin {
     jvmToolchain {
-        languageVersion.set(
-            JavaLanguageVersion.of(Versions.jvmTarget)
-        )
+        languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
+
     }
 }
 
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index cec0e020..c2b9f972 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -119,6 +119,9 @@ inline fun <reified T> schemaFor(): DataType = schemaFor(typeOf<T>())
 
 fun schemaFor(kType: KType): DataType = kotlinEncoderFor<Any?>(kType).schema().unwrap()
 
+@Deprecated("Use schemaFor instead", ReplaceWith("schemaFor(kType)"))
+fun schema(kType: KType) = schemaFor(kType)
+
 object KotlinTypeInference {
 
     /**
diff --git a/scala-helpers/build.gradle.kts b/scala-helpers/build.gradle.kts
index 73e62f7d..f4ba628b 100644
--- a/scala-helpers/build.gradle.kts
+++ b/scala-helpers/build.gradle.kts
@@ -38,13 +38,10 @@ dependencies {
 java {
     toolchain {
         if (Versions.scalaCompat.toDouble() > 2.12) { // scala 2.12 will always target java 8
-            languageVersion.set(
-                JavaLanguageVersion.of(Versions.jvmTarget)
-            )
+            languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
+
         } else if (Versions.jvmTarget == "1.8" || Versions.jvmTarget == "8") {
-            languageVersion.set(
-                JavaLanguageVersion.of(8)
-            )
+            languageVersion = JavaLanguageVersion.of(8)
         }
     }
 }
@@ -60,10 +57,10 @@ tasks.withType<ScalaCompile> {
 val scalaMainSources = sourceSets.main.get().scala.sourceDirectories
 
 val preprocessMain by tasks.creating(JcpTask::class)  {
-    sources.set(scalaMainSources)
-    clearTarget.set(true)
-    fileExtensions.set(listOf("scala"))
-    vars.set(Versions.versionMap)
+    sources = scalaMainSources
+    clearTarget = true
+    fileExtensions = listOf("scala")
+    vars = Versions.versionMap
     outputs.upToDateWhen { target.get().exists() }
 }
 
diff --git a/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
index 359b1324..5fc912b7 100644
--- a/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
+++ b/scala-helpers/src/main/scala/org/jetbrains/kotlinx/spark/extensions/KSparkExtensions.scala
@@ -19,26 +19,23 @@
  */
 package org.jetbrains.kotlinx.spark.extensions
 
-import org.apache.spark.sql._
-
-import java.util
 import scala.reflect.ClassTag
 
 object KSparkExtensions {
 
-  def col(d: Dataset[_], name: String): Column = d.col(name)
-
-  def col(name: String): Column = functions.col(name)
-
-  def lit(literal: Any): Column = functions.lit(literal)
-
-  def collectAsList[T](ds: Dataset[T]): util.List[T] = {
-    //#if scalaCompat >= 2.13
-    scala.jdk.javaapi.CollectionConverters.asJava(ds.collect())
-    //#else
-    //$scala.collection.JavaConverters.seqAsJavaList(ds.collect())
-    //#endif
-  }
+//  def col(d: Dataset[_], name: String): Column = d.col(name)
+//
+//  def col(name: String): Column = functions.col(name)
+//
+//  def lit(literal: Any): Column = functions.lit(literal)
+//
+//  def collectAsList[T](ds: Dataset[T]): util.List[T] = {
+//    //#if scalaCompat >= 2.13
+//    scala.jdk.javaapi.CollectionConverters.asJava(ds.collect())
+//    //#else
+//    //$scala.collection.JavaConverters.seqAsJavaList(ds.collect())
+//    //#endif
+//  }
 
   /**
    * Produces a ClassTag[T], which is actually just a casted ClassTag[AnyRef].
diff --git a/scala-tuples-in-kotlin/build.gradle.kts b/scala-tuples-in-kotlin/build.gradle.kts
index c088efea..866dc166 100644
--- a/scala-tuples-in-kotlin/build.gradle.kts
+++ b/scala-tuples-in-kotlin/build.gradle.kts
@@ -43,9 +43,7 @@ dependencies {
 
 kotlin {
     jvmToolchain {
-        languageVersion.set(
-            JavaLanguageVersion.of(Versions.jvmTarget)
-        )
+        languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
     }
 }
 
diff --git a/settings.gradle.kts b/settings.gradle.kts
index 4193f335..df71f5ba 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -1,3 +1,11 @@
+pluginManagement {
+    repositories {
+        mavenCentral()
+        gradlePluginPortal()
+        maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/bootstrap")
+    }
+}
+
 plugins {
     id("com.gradle.enterprise") version "3.10.3"
 }
@@ -16,7 +24,6 @@ System.setProperty("spark", spark)
 System.setProperty("scala", scala)
 System.setProperty("skipScalaOnlyDependent", skipScalaOnlyDependent)
 
-
 val scalaCompat
     get() = scala.substringBeforeLast('.')
 
@@ -29,6 +36,8 @@ include("scala-tuples-in-kotlin")
 include("kotlin-spark-api")
 include("jupyter")
 include("examples")
+include("compiler-plugin")
+include("gradle-plugin")
 
 // just scala dependent
 project(":scala-helpers").name = "scala-helpers_$scalaCompat"

From c0a314055617ecfc02ddd32902495a7ec8bfad0a Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Fri, 22 Mar 2024 15:55:55 +0100
Subject: [PATCH 15/38] Added gradle plugin and fixed package naming errors

---
 build.gradle.kts                              | 13 ++--
 buildSrc/build.gradle.kts                     |  4 +-
 buildSrc/src/main/kotlin/Dependencies.kt      |  3 +-
 buildSrc/src/main/kotlin/Helpers.kt           | 11 +++-
 buildSrc/src/main/kotlin/Plugins.kt           |  5 ++
 buildSrc/src/main/kotlin/Projects.kt          |  2 +-
 buildSrc/src/main/kotlin/Versions.kt          |  6 +-
 compiler-plugin/build.gradle.kts              | 29 ++++++---
 .../compilerPlugin/SimplePluginRegistrar.kt   |  2 +-
 .../SparkifyCommandLineProcessor.kt           |  4 +-
 .../SparkifyCompilerPluginRegistrar.kt        |  6 +-
 .../DataClassPropertyAnnotationGenerator.kt   |  2 +-
 .../ir/SparkifyIrGenerationExtension.kt       |  3 +-
 ...otlin.compiler.plugin.CommandLineProcessor |  2 +-
 ...in.compiler.plugin.CompilerPluginRegistrar |  2 +-
 .../runners/BoxTestGenerated.java             |  4 +-
 .../{ => api}/compilerPlugin/GenerateTests.kt |  6 +-
 .../compilerPlugin/runners/AbstractBoxTest.kt |  2 +-
 .../runners/AbstractDiagnosticTest.kt         |  5 +-
 .../compilerPlugin/runners/BaseTestRunner.kt  |  4 +-
 .../ExtensionRegistrarConfigurator.kt         |  4 +-
 examples/build.gradle.kts                     | 20 ++++--
 gradle-plugin/build.gradle.kts                | 61 ++++++++++++++++++
 .../SparkKotlinCompilerExtension.kt           | 31 +++++++++
 .../SparkKotlinCompilerGradlePlugin.kt        | 64 +++++++++++++++++++
 jupyter/build.gradle.kts                      |  4 +-
 kotlin-spark-api/build.gradle.kts             |  4 +-
 scala-helpers/build.gradle.kts                |  2 +-
 scala-tuples-in-kotlin/build.gradle.kts       |  2 +-
 settings.gradle.kts                           |  1 +
 30 files changed, 251 insertions(+), 57 deletions(-)
 rename compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/SimplePluginRegistrar.kt (83%)
 rename compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/SparkifyCommandLineProcessor.kt (96%)
 rename compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/SparkifyCompilerPluginRegistrar.kt (85%)
 rename compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt (98%)
 rename compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/ir/SparkifyIrGenerationExtension.kt (86%)
 rename compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/runners/BoxTestGenerated.java (89%)
 rename compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/GenerateTests.kt (76%)
 rename compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/runners/AbstractBoxTest.kt (97%)
 rename compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/runners/AbstractDiagnosticTest.kt (71%)
 rename compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/runners/BaseTestRunner.kt (89%)
 rename compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/{ => api}/compilerPlugin/services/ExtensionRegistrarConfigurator.kt (87%)
 create mode 100644 gradle-plugin/build.gradle.kts
 create mode 100644 gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerExtension.kt
 create mode 100644 gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt

diff --git a/build.gradle.kts b/build.gradle.kts
index 9b8a6d91..325c03d4 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -21,6 +21,9 @@ plugins {
     idea
     kotlin version Versions.kotlin apply false
     buildconfig version Versions.buildconfig apply false
+
+    // Needs to be installed in the local maven repository
+    id("org.jetbrains.kotlinx.spark.api") version Versions.project apply false
 }
 
 group = Versions.groupID
@@ -127,17 +130,17 @@ subprojects {
             val projectVersion = Versions.project
             val groupId = Versions.groupID
 
-            val compilerPluginId = "$groupId.compilerPlugin"
-
             val compilerPluginArtifactId = compilerPlugin.name
             val gradlePluginArtifactId = gradlePlugin.name
 
-            val defaultSparkifyFqName = "$groupId.plugin.annotations.Sparkify"
-            val defaultColumnNameFqName = "$groupId.plugin.annotations.ColumnName"
+            val compilerPluginId = "$groupId.api"
+
+            val defaultSparkifyFqName = "$groupId.api.plugin.annotations.Sparkify"
+            val defaultColumnNameFqName = "$groupId.api.plugin.annotations.ColumnName"
 
             val projectRoot = project.rootDir.absolutePath
 
-            packageName(groupId)
+            packageName("$groupId.api")
             className("Artifacts")
 
             buildConfigField("compilerPluginId", compilerPluginId)
diff --git a/buildSrc/build.gradle.kts b/buildSrc/build.gradle.kts
index 1c7fefc4..656a8d0c 100644
--- a/buildSrc/build.gradle.kts
+++ b/buildSrc/build.gradle.kts
@@ -1,10 +1,8 @@
-import org.gradle.kotlin.dsl.`kotlin-dsl`
-import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
-
 plugins {
     `kotlin-dsl`
 }
 
 repositories {
     mavenCentral()
+    maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/bootstrap")
 }
diff --git a/buildSrc/src/main/kotlin/Dependencies.kt b/buildSrc/src/main/kotlin/Dependencies.kt
index 95168433..20fce75d 100644
--- a/buildSrc/src/main/kotlin/Dependencies.kt
+++ b/buildSrc/src/main/kotlin/Dependencies.kt
@@ -1,4 +1,4 @@
-object Dependencies {
+object Dependencies : Dsl<Dependencies> {
     inline val kotlinStdLib get() = "org.jetbrains.kotlin:kotlin-stdlib-jdk8:${Versions.kotlin}"
     inline val reflect get() = "org.jetbrains.kotlin:kotlin-reflect:${Versions.kotlin}"
     inline val scalaLibrary get() = "org.scala-lang:scala-library:${Versions.scala}"
@@ -35,6 +35,7 @@ object Dependencies {
     inline val kotlinScriptRuntime get() = "org.jetbrains.kotlin:kotlin-script-runtime:${Versions.kotlin}"
     inline val kotlinAnnotationsJvm get() = "org.jetbrains.kotlin:kotlin-annotations-jvm:${Versions.kotlin}"
     inline val kotlinCompilerInternalTestFramework get() = "org.jetbrains.kotlin:kotlin-compiler-internal-test-framework:${Versions.kotlin}"
+    inline val kotlinGradlePlugin get() = "org.jetbrains.kotlin:kotlin-gradle-plugin"
 }
 
 
diff --git a/buildSrc/src/main/kotlin/Helpers.kt b/buildSrc/src/main/kotlin/Helpers.kt
index 0f0f3c40..cc313776 100644
--- a/buildSrc/src/main/kotlin/Helpers.kt
+++ b/buildSrc/src/main/kotlin/Helpers.kt
@@ -2,6 +2,10 @@ import org.gradle.api.artifacts.Dependency
 import org.gradle.api.artifacts.ProjectDependency
 import org.gradle.api.artifacts.dsl.DependencyHandler
 
+interface Dsl<T> {
+    operator fun invoke(block: T.() -> Unit) = block(this as T)
+}
+
 fun DependencyHandler.testApi(vararg dependencyNotations: Any): List<Dependency?> =
     dependencyNotations.map {
         add("testApi", it)
@@ -33,10 +37,15 @@ fun DependencyHandler.runtimeOnly(vararg dependencyNotations: Any): List<Depende
         add("runtimeOnly", it)
     }
 
+fun DependencyHandler.compileOnly(vararg dependencyNotations: Any): List<Dependency?> =
+    dependencyNotations.map {
+        add("compileOnly", it)
+    }
+
 fun DependencyHandler.project(
     path: String,
     configuration: String? = null
 ): ProjectDependency = project(
     if (configuration != null) mapOf("path" to path, "configuration" to configuration)
     else mapOf("path" to path)
-) as ProjectDependency
+) as ProjectDependency
\ No newline at end of file
diff --git a/buildSrc/src/main/kotlin/Plugins.kt b/buildSrc/src/main/kotlin/Plugins.kt
index 3b5f66af..10af1a03 100644
--- a/buildSrc/src/main/kotlin/Plugins.kt
+++ b/buildSrc/src/main/kotlin/Plugins.kt
@@ -36,3 +36,8 @@ inline val PluginDependenciesSpec.jupyter
 inline val PluginDependenciesSpec.buildconfig
     get() = id("com.github.gmazzo.buildconfig")
 
+inline val PluginDependenciesSpec.gradlePublishPlugin
+    get() = id("com.gradle.plugin-publish") version Versions.gradlePublishPlugin
+
+inline val PluginDependenciesSpec.shadow
+    get() = id("com.github.johnrengelman.shadow") version Versions.shadow
diff --git a/buildSrc/src/main/kotlin/Projects.kt b/buildSrc/src/main/kotlin/Projects.kt
index 16c03483..a8c02070 100644
--- a/buildSrc/src/main/kotlin/Projects.kt
+++ b/buildSrc/src/main/kotlin/Projects.kt
@@ -2,7 +2,7 @@
 
 import org.gradle.api.Project
 
-object Projects {
+object Projects : Dsl<Projects> {
 
     inline fun Project.searchProject(name: String): Project =
         rootProject
diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index c8b09d24..4dbc3cba 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -1,5 +1,5 @@
-object Versions {
-    const val project = "1.2.5-SNAPSHOT"
+object Versions : Dsl<Versions> {
+    const val project = "2.0.0-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
     const val kotlin = "2.0.0-Beta5"
     const val jvmTarget = "8"
@@ -13,7 +13,9 @@ object Versions {
     inline val sparkConnect get() = System.getProperty("sparkConnect", "false").toBoolean()
     const val jupyter = "0.12.0-32-1"
 
+    const val gradlePublishPlugin = "1.1.0"
     const val kotest = "5.5.4"
+    const val shadow = "8.1.1"
 
     const val buildconfig = "5.3.5"
 
diff --git a/compiler-plugin/build.gradle.kts b/compiler-plugin/build.gradle.kts
index 2644c065..629b74ad 100644
--- a/compiler-plugin/build.gradle.kts
+++ b/compiler-plugin/build.gradle.kts
@@ -1,9 +1,10 @@
+import org.jetbrains.kotlin.gradle.dsl.KotlinVersion
 import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
 
 plugins {
     java
     kotlin
-    mavenPublishBase
+    mavenPublish
     buildconfig
 }
 
@@ -24,7 +25,7 @@ sourceSets {
 }
 
 dependencies {
-    with(Dependencies) {
+    Dependencies {
         compileOnly(kotlinCompiler)
 
         testRuntimeOnly(
@@ -62,17 +63,29 @@ tasks.test {
 }
 
 tasks.withType<KotlinCompile>().configureEach {
-    kotlinOptions {
-        languageVersion = "2.0"
-        freeCompilerArgs = freeCompilerArgs +
-                "-opt-in=org.jetbrains.kotlin.compiler.plugin.ExperimentalCompilerApi" +
-                "-Xcontext-receivers"
+    compilerOptions {
+        freeCompilerArgs.addAll(
+            "-opt-in=org.jetbrains.kotlin.compiler.plugin.ExperimentalCompilerApi",
+            "-Xcontext-receivers"
+        )
+        languageVersion = KotlinVersion.KOTLIN_2_0
+    }
+}
+
+kotlin {
+    jvmToolchain {
+        languageVersion = JavaLanguageVersion.of(8)
+    }
+}
+java {
+    toolchain {
+        languageVersion = JavaLanguageVersion.of(8)
     }
 }
 
 val generateTests by tasks.creating(JavaExec::class) {
     classpath = sourceSets.test.get().runtimeClasspath
-    mainClass.set("org.jetbrains.kotlinx.spark.compilerPlugin.GenerateTestsKt")
+    mainClass.set("org.jetbrains.kotlinx.spark.api.compilerPlugin.GenerateTestsKt")
 }
 
 val compileTestKotlin by tasks.getting {
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SimplePluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SimplePluginRegistrar.kt
similarity index 83%
rename from compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SimplePluginRegistrar.kt
rename to compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SimplePluginRegistrar.kt
index 2acc6cdc..2451839f 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SimplePluginRegistrar.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SimplePluginRegistrar.kt
@@ -1,4 +1,4 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin
+package org.jetbrains.kotlinx.spark.api.compilerPlugin
 
 import org.jetbrains.kotlin.fir.extensions.FirExtensionRegistrar
 
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCommandLineProcessor.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCommandLineProcessor.kt
similarity index 96%
rename from compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCommandLineProcessor.kt
rename to compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCommandLineProcessor.kt
index c5081347..b0e29d8f 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCommandLineProcessor.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCommandLineProcessor.kt
@@ -1,11 +1,11 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin
+package org.jetbrains.kotlinx.spark.api.compilerPlugin
 
 import org.jetbrains.kotlin.compiler.plugin.AbstractCliOption
 import org.jetbrains.kotlin.compiler.plugin.CliOption
 import org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
 import org.jetbrains.kotlin.config.CompilerConfiguration
 import org.jetbrains.kotlin.config.CompilerConfigurationKey
-import org.jetbrains.kotlinx.spark.Artifacts
+import org.jetbrains.kotlinx.spark.api.Artifacts
 
 open class SparkifyCommandLineProcessor : CommandLineProcessor {
 
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCompilerPluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
similarity index 85%
rename from compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
rename to compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
index 264b5a3b..f42698db 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
@@ -1,10 +1,10 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin
+package org.jetbrains.kotlinx.spark.api.compilerPlugin
 
 import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
 import org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
 import org.jetbrains.kotlin.config.CompilerConfiguration
-import org.jetbrains.kotlinx.spark.Artifacts
-import org.jetbrains.kotlinx.spark.compilerPlugin.ir.SparkifyIrGenerationExtension
+import org.jetbrains.kotlinx.spark.api.Artifacts
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.ir.SparkifyIrGenerationExtension
 
 open class SparkifyCompilerPluginRegistrar: CompilerPluginRegistrar() {
     init {
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
similarity index 98%
rename from compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
rename to compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
index 7e39ab38..b0f338c9 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
@@ -1,4 +1,4 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin.ir
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.ir
 
 import org.jetbrains.kotlin.backend.common.extensions.IrPluginContext
 import org.jetbrains.kotlin.ir.IrElement
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/SparkifyIrGenerationExtension.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
similarity index 86%
rename from compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
rename to compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
index ca2e9bbd..02732fe4 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
@@ -1,9 +1,10 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin.ir
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.ir
 
 import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
 import org.jetbrains.kotlin.backend.common.extensions.IrPluginContext
 import org.jetbrains.kotlin.ir.declarations.IrModuleFragment
 import org.jetbrains.kotlin.ir.visitors.acceptChildrenVoid
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.ir.DataClassPropertyAnnotationGenerator
 
 class SparkifyIrGenerationExtension(
     private val sparkifyAnnotationFqNames: List<String>,
diff --git a/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
index 4d95540d..9eff122b 100644
--- a/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
+++ b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CommandLineProcessor
@@ -1 +1 @@
-org.jetbrains.kotlinx.spark.compilerPlugin.SparkifyCommandLineProcessor
+org.jetbrains.kotlinx.spark.api.compilerPlugin.SparkifyCommandLineProcessor
diff --git a/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
index f1d5a663..0568356a 100644
--- a/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
+++ b/compiler-plugin/src/main/resources/META-INF/services/org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
@@ -1 +1 @@
-org.jetbrains.kotlinx.spark.compilerPlugin.SparkifyCompilerPluginRegistrar
+org.jetbrains.kotlinx.spark.api.compilerPlugin.SparkifyCompilerPluginRegistrar
diff --git a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BoxTestGenerated.java b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
similarity index 89%
rename from compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BoxTestGenerated.java
rename to compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
index 70904cb8..4e843bee 100644
--- a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BoxTestGenerated.java
+++ b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
@@ -1,6 +1,6 @@
 
 
-package org.jetbrains.kotlinx.spark.compilerPlugin.runners;
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.runners;
 
 import com.intellij.testFramework.TestDataPath;
 import org.jetbrains.kotlin.test.util.KtTestUtil;
@@ -11,7 +11,7 @@
 import java.io.File;
 import java.util.regex.Pattern;
 
-/** This class is generated by {@link org.jetbrains.kotlinx.spark.compilerPlugin.GenerateTestsKt}. DO NOT MODIFY MANUALLY */
+/** This class is generated by {@link org.jetbrains.kotlinx.spark.api.compilerPlugin.GenerateTestsKt}. DO NOT MODIFY MANUALLY */
 @SuppressWarnings("all")
 @TestMetadata("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box")
 @TestDataPath("$PROJECT_ROOT")
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/GenerateTests.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
similarity index 76%
rename from compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/GenerateTests.kt
rename to compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
index 8b74142c..a85d0a1b 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/GenerateTests.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
@@ -1,8 +1,8 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin
+package org.jetbrains.kotlinx.spark.api.compilerPlugin
 
 import org.jetbrains.kotlin.generators.generateTestGroupSuiteWithJUnit5
-import org.jetbrains.kotlinx.spark.Artifacts
-import org.jetbrains.kotlinx.spark.compilerPlugin.runners.AbstractBoxTest
+import org.jetbrains.kotlinx.spark.api.Artifacts
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.runners.AbstractBoxTest
 
 fun main() {
     generateTestGroupSuiteWithJUnit5 {
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractBoxTest.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/AbstractBoxTest.kt
similarity index 97%
rename from compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractBoxTest.kt
rename to compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/AbstractBoxTest.kt
index ed2608b1..26030a4a 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractBoxTest.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/AbstractBoxTest.kt
@@ -1,4 +1,4 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin.runners
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.runners
 
 import org.jetbrains.kotlin.platform.jvm.JvmPlatforms
 import org.jetbrains.kotlin.test.FirParser
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractDiagnosticTest.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/AbstractDiagnosticTest.kt
similarity index 71%
rename from compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractDiagnosticTest.kt
rename to compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/AbstractDiagnosticTest.kt
index 626186aa..9c2f362f 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/AbstractDiagnosticTest.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/AbstractDiagnosticTest.kt
@@ -1,11 +1,8 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin.runners
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.runners
 
 import org.jetbrains.kotlin.test.FirParser
 import org.jetbrains.kotlin.test.builders.TestConfigurationBuilder
-import org.jetbrains.kotlin.test.directives.ConfigurationDirectives.WITH_STDLIB
-import org.jetbrains.kotlin.test.directives.FirDiagnosticsDirectives.FIR_DUMP
 import org.jetbrains.kotlin.test.directives.configureFirParser
-import org.jetbrains.kotlin.test.runners.baseFirDiagnosticTestConfiguration
 import org.jetbrains.kotlin.test.services.EnvironmentBasedStandardLibrariesPathProvider
 import org.jetbrains.kotlin.test.services.KotlinStandardLibrariesPathProvider
 
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BaseTestRunner.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BaseTestRunner.kt
similarity index 89%
rename from compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BaseTestRunner.kt
rename to compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BaseTestRunner.kt
index f43cd4ce..fb3da3cb 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/runners/BaseTestRunner.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BaseTestRunner.kt
@@ -1,4 +1,4 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin.runners
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.runners
 
 import org.jetbrains.kotlin.test.builders.TestConfigurationBuilder
 import org.jetbrains.kotlin.test.directives.FirDiagnosticsDirectives
@@ -8,7 +8,7 @@ import org.jetbrains.kotlin.test.runners.AbstractKotlinCompilerTest
 import org.jetbrains.kotlin.test.runners.baseFirDiagnosticTestConfiguration
 import org.jetbrains.kotlin.test.services.EnvironmentBasedStandardLibrariesPathProvider
 import org.jetbrains.kotlin.test.services.KotlinStandardLibrariesPathProvider
-import org.jetbrains.kotlinx.spark.compilerPlugin.services.ExtensionRegistrarConfigurator
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.services.ExtensionRegistrarConfigurator
 import org.junit.jupiter.api.BeforeAll
 
 abstract class BaseTestRunner : AbstractKotlinCompilerTest() {
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/services/ExtensionRegistrarConfigurator.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
similarity index 87%
rename from compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
rename to compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
index 563af572..f16e26d8 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
@@ -1,4 +1,4 @@
-package org.jetbrains.kotlinx.spark.compilerPlugin.services
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.services
 
 import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
 import org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
@@ -6,7 +6,7 @@ import org.jetbrains.kotlin.config.CompilerConfiguration
 import org.jetbrains.kotlin.test.model.TestModule
 import org.jetbrains.kotlin.test.services.EnvironmentConfigurator
 import org.jetbrains.kotlin.test.services.TestServices
-import org.jetbrains.kotlinx.spark.compilerPlugin.ir.SparkifyIrGenerationExtension
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.ir.SparkifyIrGenerationExtension
 
 class ExtensionRegistrarConfigurator(testServices: TestServices) : EnvironmentConfigurator(testServices) {
     override fun CompilerPluginRegistrar.ExtensionStorage.registerCompilerExtensions(
diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts
index 409d2122..7f371ecc 100644
--- a/examples/build.gradle.kts
+++ b/examples/build.gradle.kts
@@ -1,26 +1,34 @@
 import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
 
 plugins {
+    // Needs to be installed in the local maven repository
+    id("org.jetbrains.kotlinx.spark.api")
     kotlin
-    idea
 }
 
+//kotlinSparkApi {
+//    enabled = true
+//    sparkifyAnnotationFqNames = listOf(
+//        "org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify",
+//    )
+//}
+
 group = Versions.groupID
 version = Versions.project
 
 repositories {
+    mavenLocal()
     mavenCentral()
 }
 
 dependencies {
-
-    with(Projects) {
+    Projects {
         implementation(
             kotlinSparkApi,
         )
     }
 
-    with(Dependencies) {
+    Dependencies {
 
         // https://github.com/FasterXML/jackson-bom/issues/52
         if (Versions.spark == "3.3.1") implementation(jacksonDatabind)
@@ -31,12 +39,12 @@ dependencies {
             sparkStreaming,
             sparkStreamingKafka,
         )
-
     }
 }
 
 kotlin {
+    jvmToolchain(8)
     jvmToolchain {
         languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
     }
-}
+}
\ No newline at end of file
diff --git a/gradle-plugin/build.gradle.kts b/gradle-plugin/build.gradle.kts
new file mode 100644
index 00000000..9facda3f
--- /dev/null
+++ b/gradle-plugin/build.gradle.kts
@@ -0,0 +1,61 @@
+@file:Suppress("UnstableApiUsage")
+
+plugins {
+    `java-gradle-plugin`
+    kotlin
+    buildconfig
+    signing
+    gradlePublishPlugin
+}
+
+group = Versions.groupID
+version = Versions.project
+
+publishing {
+    repositories {
+        maven {
+            name = "localPluginRepository"
+            url = uri("~/.m2/repository")
+        }
+    }
+}
+
+gradlePlugin {
+    website = "https://github.com/Kotlin/kotlin-spark-api"
+    vcsUrl = "https://github.com/Kotlin/kotlin-spark-api"
+
+    plugins.create("kotlin-spark-api") {
+        id = "${Versions.groupID}.api"
+        displayName = "Kotlin Spark API (Gradle) Compiler Plugin"
+        description = "TODO"
+        tags = setOf("kotlin", "spark", "compiler", "gradle", "Sparkify", "columnName")
+        implementationClass = "${Versions.groupID}.api.gradlePlugin.SparkKotlinCompilerGradlePlugin"
+    }
+}
+
+repositories {
+    mavenCentral()
+    maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/bootstrap")
+}
+
+dependencies {
+    Dependencies {
+        compileOnly(
+            kotlinStdLib,
+            kotlinGradlePlugin,
+            gradleApi(),
+            gradleKotlinDsl()
+        )
+    }
+}
+
+//tasks.withType<ShadowJar> {
+//    isZip64 = true
+//    archiveClassifier = ""
+//}
+
+kotlin {
+    jvmToolchain {
+        languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
+    }
+}
\ No newline at end of file
diff --git a/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerExtension.kt b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerExtension.kt
new file mode 100644
index 00000000..d8dd2661
--- /dev/null
+++ b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerExtension.kt
@@ -0,0 +1,31 @@
+package org.jetbrains.kotlinx.spark.api.gradlePlugin
+
+import org.gradle.api.Project
+import org.gradle.api.file.DirectoryProperty
+import org.gradle.api.provider.ListProperty
+import org.gradle.api.provider.Property
+import org.jetbrains.kotlinx.spark.api.Artifacts
+import javax.inject.Inject
+
+abstract class SparkKotlinCompilerExtension @Inject constructor(project: Project) {
+
+    val enabled: Property<Boolean> = project
+        .objects
+        .property(Boolean::class.javaObjectType)
+        .convention(true)
+
+    val sparkifyAnnotationFqNames: ListProperty<String> = project
+        .objects
+        .listProperty(String::class.java)
+        .convention(listOf(Artifacts.defaultSparkifyFqName))
+
+    val columnNameAnnotationFqNames: ListProperty<String> = project
+        .objects
+        .listProperty(String::class.java)
+        .convention(listOf(Artifacts.defaultColumnNameFqName))
+
+    val outputDir: DirectoryProperty = project
+        .objects
+        .directoryProperty()
+        .convention(project.layout.buildDirectory.dir("generated/sources/sparkKotlinCompilerPlugin"))
+}
\ No newline at end of file
diff --git a/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
new file mode 100644
index 00000000..9dffe65a
--- /dev/null
+++ b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
@@ -0,0 +1,64 @@
+package org.jetbrains.kotlinx.spark.api.gradlePlugin
+
+import org.gradle.api.Project
+import org.gradle.api.provider.Provider
+import org.gradle.kotlin.dsl.findByType
+import org.jetbrains.kotlin.gradle.dsl.KotlinJvmProjectExtension
+import org.jetbrains.kotlin.gradle.plugin.KotlinCompilation
+import org.jetbrains.kotlin.gradle.plugin.KotlinCompilerPluginSupportPlugin
+import org.jetbrains.kotlin.gradle.plugin.SubpluginArtifact
+import org.jetbrains.kotlin.gradle.plugin.SubpluginOption
+import org.jetbrains.kotlinx.spark.api.Artifacts
+
+class SparkKotlinCompilerGradlePlugin : KotlinCompilerPluginSupportPlugin {
+
+    override fun apply(target: Project) {
+        target.extensions.create("kotlinSparkApi", SparkKotlinCompilerExtension::class.java, target)
+
+        target.afterEvaluate {
+            it.extensions.findByType<KotlinJvmProjectExtension>()?.apply {
+                compilerOptions {
+                    // Make sure the parameters of data classes are visible to scala
+                    javaParameters.set(true)
+                }
+            }
+        }
+    }
+
+    override fun applyToCompilation(kotlinCompilation: KotlinCompilation<*>): Provider<List<SubpluginOption>> {
+        val target = kotlinCompilation.target.name
+        val sourceSetName = kotlinCompilation.defaultSourceSet.name
+
+        val project = kotlinCompilation.target.project
+        val extension = project.extensions.getByType(SparkKotlinCompilerExtension::class.java)
+
+        val enabled = extension.enabled.get()
+        val sparkifyAnnotationFqNames = extension.sparkifyAnnotationFqNames.get()
+        val columnNameAnnotationFqNames = extension.columnNameAnnotationFqNames.get()
+
+        val outputDir = extension.outputDir.get().dir("$target/$sourceSetName/kotlin")
+        kotlinCompilation.defaultSourceSet.kotlin.srcDir(outputDir.asFile)
+
+        val provider = project.provider {
+            listOf(
+                SubpluginOption(key = "enabled", value = enabled.toString()),
+                SubpluginOption(key = "sparkifyAnnotationFqNames", value = sparkifyAnnotationFqNames.joinToString()),
+                SubpluginOption(key = "columnNameAnnotationFqNames", value = columnNameAnnotationFqNames.joinToString()),
+            )
+        }
+        return provider
+    }
+
+    override fun getCompilerPluginId() = Artifacts.compilerPluginId
+
+    override fun getPluginArtifact(): SubpluginArtifact =
+        SubpluginArtifact(
+            groupId = Artifacts.groupId,
+            artifactId = Artifacts.compilerPluginArtifactId,
+            version = Artifacts.projectVersion,
+        )
+
+    override fun isApplicable(kotlinCompilation: KotlinCompilation<*>): Boolean = true
+}
+
+
diff --git a/jupyter/build.gradle.kts b/jupyter/build.gradle.kts
index 9d02f5a3..57adf168 100644
--- a/jupyter/build.gradle.kts
+++ b/jupyter/build.gradle.kts
@@ -37,13 +37,13 @@ tasks.processJupyterApiResources {
 }
 
 dependencies {
-    with(Projects) {
+    Projects {
         api(
             kotlinSparkApi,
         )
     }
 
-    with(Dependencies) {
+    Dependencies {
 
         // https://github.com/FasterXML/jackson-bom/issues/52
         if (Versions.spark == "3.3.1") implementation(jacksonDatabind)
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index 34f121c9..60e66c95 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -28,14 +28,14 @@ tasks.withType<Test>().configureEach {
 
 dependencies {
 
-    with(Projects) {
+    Projects {
         api(
             scalaHelpers,
             scalaTuplesInKotlin
         )
     }
 
-    with(Dependencies) {
+    Dependencies {
 
         // https://github.com/FasterXML/jackson-bom/issues/52
         if (Versions.spark == "3.3.1") implementation(jacksonDatabind)
diff --git a/scala-helpers/build.gradle.kts b/scala-helpers/build.gradle.kts
index f4ba628b..b636c14d 100644
--- a/scala-helpers/build.gradle.kts
+++ b/scala-helpers/build.gradle.kts
@@ -20,7 +20,7 @@ repositories {
 
 dependencies {
 
-    with(Dependencies) {
+    Dependencies {
         api(
             scalaLibrary,
             reflect,
diff --git a/scala-tuples-in-kotlin/build.gradle.kts b/scala-tuples-in-kotlin/build.gradle.kts
index 866dc166..cc99e208 100644
--- a/scala-tuples-in-kotlin/build.gradle.kts
+++ b/scala-tuples-in-kotlin/build.gradle.kts
@@ -27,7 +27,7 @@ tasks.withType<Test>().configureEach {
 }
 
 dependencies {
-    with(Dependencies) {
+    Dependencies {
         implementation(
             kotlinStdLib,
             scalaLibrary,
diff --git a/settings.gradle.kts b/settings.gradle.kts
index df71f5ba..98776e06 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -1,5 +1,6 @@
 pluginManagement {
     repositories {
+        mavenLocal()
         mavenCentral()
         gradlePluginPortal()
         maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/bootstrap")

From 1b0b316a13a73b499e42a7edfbc994b831b69417 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Fri, 22 Mar 2024 16:30:45 +0100
Subject: [PATCH 16/38] enabling the compiler plugin on modules, sparkifying
 data classes

---
 build.gradle.kts                                      |  2 +-
 buildSrc/src/main/kotlin/Plugins.kt                   |  2 ++
 buildSrc/src/main/kotlin/Versions.kt                  |  1 +
 kotlin-spark-api/build.gradle.kts                     |  4 +++-
 .../kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt |  2 ++
 .../kotlinx/spark/api/DatasetFunctionTest.kt          |  4 ++++
 .../org/jetbrains/kotlinx/spark/api/EncodingTest.kt   | 10 ++++++++++
 .../jetbrains/kotlinx/spark/api/TypeInferenceTest.kt  | 10 ++++++----
 .../kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt |  6 ++++--
 .../kotlinx/spark/api/struct/model/models.kt          | 11 +++++++----
 10 files changed, 40 insertions(+), 12 deletions(-)

diff --git a/build.gradle.kts b/build.gradle.kts
index 325c03d4..56775b23 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -23,7 +23,7 @@ plugins {
     buildconfig version Versions.buildconfig apply false
 
     // Needs to be installed in the local maven repository
-    id("org.jetbrains.kotlinx.spark.api") version Versions.project apply false
+    kotlinSparkApi version Versions.kotlinSparkApiGradlePlugin apply false
 }
 
 group = Versions.groupID
diff --git a/buildSrc/src/main/kotlin/Plugins.kt b/buildSrc/src/main/kotlin/Plugins.kt
index 10af1a03..59e273b0 100644
--- a/buildSrc/src/main/kotlin/Plugins.kt
+++ b/buildSrc/src/main/kotlin/Plugins.kt
@@ -2,6 +2,8 @@ import org.gradle.api.Project
 import org.gradle.kotlin.dsl.*
 import org.gradle.plugin.use.PluginDependenciesSpec
 
+inline val PluginDependenciesSpec.kotlinSparkApi
+    get() = id("org.jetbrains.kotlinx.spark.api")
 
 inline val PluginDependenciesSpec.kotlin
     get() = kotlin("jvm")
diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index 4dbc3cba..59eab276 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -1,5 +1,6 @@
 object Versions : Dsl<Versions> {
     const val project = "2.0.0-SNAPSHOT"
+    const val kotlinSparkApiGradlePlugin = "2.0.0-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
     const val kotlin = "2.0.0-Beta5"
     const val jvmTarget = "8"
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index 60e66c95..f1fc85ba 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -1,4 +1,4 @@
-@file:Suppress("UnstableApiUsage", "NOTHING_TO_INLINE")
+@file:Suppress("UnstableApiUsage")
 
 import com.igormaznitsa.jcp.gradle.JcpTask
 import com.vanniktech.maven.publish.JavadocJar.Dokka
@@ -11,6 +11,7 @@ plugins {
     mavenPublishBase
     jcp
     idea
+    kotlinSparkApi // for @Sparkify
 }
 
 group = Versions.groupID
@@ -19,6 +20,7 @@ version = Versions.project
 
 repositories {
     mavenCentral()
+    mavenLocal()
 }
 
 tasks.withType<Test>().configureEach {
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt
index 6fc1760c..65a845c7 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/ApiTest.kt
@@ -21,6 +21,7 @@ import ch.tutteli.atrium.api.fluent.en_GB.*
 import ch.tutteli.atrium.api.verbs.expect
 import io.kotest.core.spec.style.ShouldSpec
 import io.kotest.matchers.shouldBe
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import scala.collection.Seq
 import java.io.Serializable
 import kotlin.collections.Iterator
@@ -165,4 +166,5 @@ class ApiTest : ShouldSpec({
 
 
 // (data) class must be Serializable to be broadcast
+@Sparkify
 data class SomeClass(val a: IntArray, val b: Int) : Serializable
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt
index 1cf6b861..066860a8 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt
@@ -33,6 +33,7 @@ import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.streaming.GroupState
 import org.apache.spark.sql.streaming.GroupStateTimeout
 import org.jetbrains.kotlinx.spark.api.tuples.*
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import scala.Tuple2
 import scala.Tuple3
 import scala.Tuple4
@@ -68,8 +69,10 @@ class DatasetFunctionTest : ShouldSpec({
             }
 
             should("handle join operations") {
+                @Sparkify
                 data class Left(val id: Int, val name: String)
 
+                @Sparkify
                 data class Right(val id: Int, val value: Int)
 
                 val first = dsOf(Left(1, "a"), Left(2, "b"))
@@ -453,4 +456,5 @@ class DatasetFunctionTest : ShouldSpec({
     }
 })
 
+@Sparkify
 data class SomeOtherClass(val a: IntArray, val b: Int, val c: Boolean) : Serializable
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
index 3b19a224..2fc9b791 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
@@ -28,6 +28,7 @@ import io.kotest.matchers.string.shouldContain
 import org.apache.spark.sql.Dataset
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.unsafe.types.CalendarInterval
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import org.jetbrains.kotlinx.spark.api.tuples.*
 import scala.*
 import java.math.BigDecimal
@@ -600,7 +601,9 @@ class EncodingTest : ShouldSpec({
             }
 
             should("handle strings converted to lists") {
+                @Sparkify
                 data class Movie(val id: Long, val genres: String)
+                @Sparkify
                 data class MovieExpanded(val id: Long, val genres: List<String>)
 
                 val comedies = listOf(Movie(1, "Comedy|Romance"), Movie(2, "Horror|Action")).toDS()
@@ -617,8 +620,10 @@ class EncodingTest : ShouldSpec({
 
             should("handle strings converted to arrays") {
 
+                @Sparkify
                 data class Movie(val id: Long, val genres: String)
 
+                @Sparkify
                 data class MovieExpanded(val id: Long, val genres: Array<String>) {
                     override fun equals(other: Any?): Boolean {
                         if (this === other) return true
@@ -681,6 +686,7 @@ class EncodingTest : ShouldSpec({
     }
 })
 
+@Sparkify
 data class IsSomethingClass(
     val enabled: Boolean,
     val isEnabled: Boolean,
@@ -690,14 +696,17 @@ data class IsSomethingClass(
     val getDouble: Double
 )
 
+@Sparkify
 data class DataClassWithTuple<T : Product>(val tuple: T)
 
+@Sparkify
 data class LonLat(val lon: Double, val lat: Double)
 
 enum class SomeEnum { A, B }
 
 enum class SomeOtherEnum(val value: Int) { C(1), D(2) }
 
+@Sparkify
 data class ComplexEnumDataClass(
     val int: Int,
     val string: String,
@@ -711,6 +720,7 @@ data class ComplexEnumDataClass(
     val enumMap: Map<SomeEnum, SomeOtherEnum>,
 )
 
+@Sparkify
 data class NullFieldAbleDataClass(
     val optionList: List<Int>?,
     val optionMap: Map<String, Int>?,
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
index 983b2caf..0d4d6d52 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
@@ -23,6 +23,7 @@ import ch.tutteli.atrium.creating.Expect
 import io.kotest.core.spec.style.ShouldSpec
 import org.apache.spark.sql.types.ArrayType
 import org.apache.spark.sql.types.IntegerType
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import org.jetbrains.kotlinx.spark.api.struct.model.DataType.StructType
 import org.jetbrains.kotlinx.spark.api.struct.model.DataType.TypeName
 import org.jetbrains.kotlinx.spark.api.struct.model.ElementType.ComplexElement
@@ -35,8 +36,8 @@ import kotlin.reflect.typeOf
 @OptIn(ExperimentalStdlibApi::class)
 class TypeInferenceTest : ShouldSpec({
     context("org.jetbrains.spark.api.org.jetbrains.spark.api.schema") {
-        data class Test2<T>(val vala2: T, val para2: Pair<T, String>)
-        data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
+        @Sparkify data class Test2<T>(val vala2: T, val para2: Pair<T, String>)
+        @Sparkify data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
 
         val struct = Struct.fromJson(kotlinEncoderFor<Pair<String, Test<Int>>>().schema().prettyJson())!!
         should("contain correct typings") {
@@ -64,9 +65,10 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("org.jetbrains.spark.api.org.jetbrains.spark.api.schema with more complex data") {
-        data class Single<T>(val vala3: T)
+        @Sparkify data class Single<T>(val vala3: T)
+        @Sparkify
         data class Test2<T>(val vala2: T, val para2: Pair<T, Single<Double>>)
-        data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
+        @Sparkify data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
 
         val struct = Struct.fromJson(kotlinEncoderFor<Pair<String, Test<Int>>>().schema().prettyJson())!!
         should("contain correct typings") {
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
index 0f93d7cd..26b79c30 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
@@ -33,6 +33,7 @@ import org.apache.spark.sql.Encoder
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.expressions.Aggregator
 import org.intellij.lang.annotations.Language
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import org.junit.jupiter.api.assertThrows
 import scala.collection.Seq
 import java.io.Serializable
@@ -1261,8 +1262,8 @@ class UDFTest : ShouldSpec({
     }
 })
 
-data class Employee(val name: String, val salary: Long)
-data class Average(var sum: Long, var count: Long)
+@Sparkify data class Employee(val name: String, val salary: Long)
+@Sparkify data class Average(var sum: Long, var count: Long)
 
 private object MyAverage : Aggregator<Employee, Average, Double>() {
     // A zero value for this aggregation. Should satisfy the property that any b + zero = b
@@ -1316,6 +1317,7 @@ private val aggregator = aggregatorOf<Long, Average, Double>(
 
 private val addTwoConst = { x: Int, y: Int -> x + y }
 
+@Sparkify
 data class NormalClass(
     val age: Int,
     val name: String
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/struct/model/models.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/struct/model/models.kt
index f0d365e6..72a2f99e 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/struct/model/models.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/struct/model/models.kt
@@ -23,6 +23,7 @@ import com.beust.klaxon.Converter
 import com.beust.klaxon.JsonObject
 import com.beust.klaxon.JsonValue
 import com.beust.klaxon.Klaxon
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 
 private fun <T> Klaxon.convert(
     k: kotlin.reflect.KClass<*>,
@@ -43,6 +44,7 @@ private val klaxon = Klaxon()
     .convert(DataType::class, { DataType.fromJson(it) }, { it.toJson() }, true)
     .convert(ElementType::class, { ElementType.fromJson(it) }, { it.toJson() }, true)
 
+@Sparkify
 data class Struct(
     val type: String,
     val fields: List<StructField>? = null,
@@ -56,6 +58,7 @@ data class Struct(
     }
 }
 
+@Sparkify
 data class StructField(
     val name: String,
     val type: DataType,
@@ -66,8 +69,8 @@ data class StructField(
 typealias Metadata = JsonObject
 
 sealed class DataType {
-    data class StructType(val value: Struct) : DataType()
-    data class TypeName(val value: String) : DataType()
+    @Sparkify data class StructType(val value: Struct) : DataType()
+    @Sparkify data class TypeName(val value: String) : DataType()
 
     public fun toJson(): String = klaxon.toJsonString(when (this) {
         is StructType -> this.value
@@ -84,8 +87,8 @@ sealed class DataType {
 }
 
 sealed class ElementType {
-    data class SimpleElement(val value: String) : ElementType()
-    data class ComplexElement(val value: Struct) : ElementType()
+    @Sparkify data class SimpleElement(val value: String) : ElementType()
+    @Sparkify data class ComplexElement(val value: Struct) : ElementType()
 
     public fun toJson(): String = klaxon.toJsonString(when (this) {
         is SimpleElement -> this.value

From b7c1711d75fefed43d31923d08ee4846627c85fa Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Fri, 22 Mar 2024 19:35:02 +0100
Subject: [PATCH 17/38] bumping down to kotlin 1.9.23 to make lambda's
 serializable again

---
 buildSrc/src/main/kotlin/Versions.kt                           | 3 ++-
 .../src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt | 3 ++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index 59eab276..27b1abc6 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -2,7 +2,8 @@ object Versions : Dsl<Versions> {
     const val project = "2.0.0-SNAPSHOT"
     const val kotlinSparkApiGradlePlugin = "2.0.0-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
-    const val kotlin = "2.0.0-Beta5"
+//    const val kotlin = "2.0.0-Beta5" todo issues with NonSerializable lambdas
+    const val kotlin = "1.9.23"
     const val jvmTarget = "8"
     const val jupyterJvmTarget = "8"
     inline val spark get() = System.getProperty("spark") as String
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
index ec8649b9..efb4fae1 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
@@ -34,6 +34,7 @@ import org.apache.spark.api.java.function.FlatMapFunction
 import org.apache.spark.api.java.function.ForeachFunction
 import org.apache.spark.api.java.function.ForeachPartitionFunction
 import org.apache.spark.api.java.function.MapFunction
+import org.apache.spark.api.java.function.MapPartitionsFunction
 import org.apache.spark.api.java.function.ReduceFunction
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.*
@@ -161,7 +162,7 @@ inline fun <T, reified R> Dataset<T>.groupByKey(noinline func: (T) -> R): KeyVal
  * Returns a new Dataset that contains the result of applying [func] to each partition.
  */
 inline fun <T, reified R> Dataset<T>.mapPartitions(noinline func: (Iterator<T>) -> Iterator<R>): Dataset<R> =
-    mapPartitions(func, kotlinEncoderFor<R>())
+    mapPartitions(MapPartitionsFunction(func), kotlinEncoderFor<R>())
 
 /**
  * (Kotlin-specific)

From 7069a9ad012c575e55943f045aad71f4b822ac1c Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Fri, 22 Mar 2024 20:03:56 +0100
Subject: [PATCH 18/38] fixing tests

---
 buildSrc/src/main/kotlin/Versions.kt          |   2 +-
 .../DataClassPropertyAnnotationGenerator.kt   |  11 +-
 .../runners/BoxTestGenerated.java             |   6 +
 .../box/dataClassInFunctionTest.fir.ir.txt    | 374 ++++++++++++++++++
 .../box/dataClassInFunctionTest.fir.txt       |  61 +++
 .../testData/box/dataClassInFunctionTest.kt   |  26 ++
 .../jetbrains/kotlinx/spark/api/Dataset.kt    |   4 +-
 .../kotlinx/spark/api/DatasetFunctionTest.kt  |   5 +-
 .../kotlinx/spark/api/TypeInferenceTest.kt    |  24 +-
 9 files changed, 493 insertions(+), 20 deletions(-)
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt

diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index 27b1abc6..72b315f7 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -2,7 +2,7 @@ object Versions : Dsl<Versions> {
     const val project = "2.0.0-SNAPSHOT"
     const val kotlinSparkApiGradlePlugin = "2.0.0-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
-//    const val kotlin = "2.0.0-Beta5" todo issues with NonSerializable lambdas
+//    const val kotlin = "2.0.0-Beta5" // todo issues with NonSerializable lambdas
     const val kotlin = "1.9.23"
     const val jvmTarget = "8"
     const val jupyterJvmTarget = "8"
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
index b0f338c9..91ddf573 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
@@ -9,6 +9,7 @@ import org.jetbrains.kotlin.ir.declarations.IrDeclaration
 import org.jetbrains.kotlin.ir.declarations.IrFile
 import org.jetbrains.kotlin.ir.declarations.IrModuleFragment
 import org.jetbrains.kotlin.ir.declarations.IrProperty
+import org.jetbrains.kotlin.ir.expressions.IrBlockBody
 import org.jetbrains.kotlin.ir.expressions.IrConst
 import org.jetbrains.kotlin.ir.expressions.impl.IrConstImpl
 import org.jetbrains.kotlin.ir.expressions.impl.IrConstructorCallImpl
@@ -40,9 +41,13 @@ class DataClassPropertyAnnotationGenerator(
 
     override fun visitElement(element: IrElement) {
         when (element) {
-            is IrDeclaration,
-            is IrFile,
-            is IrModuleFragment -> element.acceptChildrenVoid(this)
+//            is IrDeclaration,
+//            is IrFile,
+//            is IrBlockBody,
+//            is IrModuleFragment -> element.acceptChildrenVoid(this)
+
+            // test for now
+            else -> element.acceptChildrenVoid(this)
         }
     }
 
diff --git a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
index 4e843bee..fef04e1c 100644
--- a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
+++ b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
@@ -21,6 +21,12 @@ public void testAllFilesPresentInBox() {
     KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box"), Pattern.compile("^(.+)\\.kt$"), null, TargetBackend.JVM_IR, true);
   }
 
+  @Test
+  @TestMetadata("dataClassInFunctionTest.kt")
+  public void testDataClassInFunctionTest() {
+    runTest("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt");
+  }
+
   @Test
   @TestMetadata("dataClassTest.kt")
   public void testDataClassTest() {
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
new file mode 100644
index 00000000..ec43187d
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
@@ -0,0 +1,374 @@
+FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
+  CLASS ANNOTATION_CLASS name:ColumnName modality:OPEN visibility:public superTypes:[kotlin.Annotation]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.ColumnName
+    PROPERTY name:name visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'name: kotlin.String declared in foo.bar.ColumnName.<init>' type=kotlin.String origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-name> visibility:public modality:FINAL <> ($this:foo.bar.ColumnName) returnType:kotlin.String
+        correspondingProperty: PROPERTY name:name visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.ColumnName
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-name> (): kotlin.String declared in foo.bar.ColumnName'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.ColumnName declared in foo.bar.ColumnName.<get-name>' type=foo.bar.ColumnName origin=null
+    CONSTRUCTOR visibility:public <> (name:kotlin.String) returnType:foo.bar.ColumnName [primary]
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS ANNOTATION_CLASS name:ColumnName modality:OPEN visibility:public superTypes:[kotlin.Annotation]'
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+  CLASS ANNOTATION_CLASS name:Sparkify modality:OPEN visibility:public superTypes:[kotlin.Annotation]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Sparkify
+    CONSTRUCTOR visibility:public <> () returnType:foo.bar.Sparkify [primary]
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS ANNOTATION_CLASS name:Sparkify modality:OPEN visibility:public superTypes:[kotlin.Annotation]'
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+  FUN name:box visibility:public modality:FINAL <> () returnType:kotlin.String
+    BLOCK_BODY
+      CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]
+        annotations:
+          Sparkify
+        $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.box.User
+        PROPERTY name:name visibility:public modality:FINAL [val]
+          FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]
+            EXPRESSION_BODY
+              GET_VAR 'name: kotlin.String declared in foo.bar.box.User.<init>' type=kotlin.String origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+          FUN DEFAULT_PROPERTY_ACCESSOR name:<get-name> visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.String
+            annotations:
+              JvmName(name = "name")
+            correspondingProperty: PROPERTY name:name visibility:public modality:FINAL [val]
+            $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+            BLOCK_BODY
+              RETURN type=kotlin.Nothing from='public final fun <get-name> (): kotlin.String declared in foo.bar.box.User'
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.<get-name>' type=foo.bar.box.User origin=null
+        PROPERTY name:age visibility:public modality:FINAL [val]
+          FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]
+            EXPRESSION_BODY
+              GET_VAR 'age: kotlin.Int declared in foo.bar.box.User.<init>' type=kotlin.Int origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+          FUN DEFAULT_PROPERTY_ACCESSOR name:<get-age> visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.Int
+            annotations:
+              JvmName(name = "age")
+            correspondingProperty: PROPERTY name:age visibility:public modality:FINAL [val]
+            $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+            BLOCK_BODY
+              RETURN type=kotlin.Nothing from='public final fun <get-age> (): kotlin.Int declared in foo.bar.box.User'
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.<get-age>' type=foo.bar.box.User origin=null
+        PROPERTY name:test visibility:public modality:FINAL [val]
+          FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]
+            EXPRESSION_BODY
+              GET_VAR 'test: kotlin.Double declared in foo.bar.box.User.<init>' type=kotlin.Double origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+          FUN DEFAULT_PROPERTY_ACCESSOR name:<get-test> visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.Double
+            annotations:
+              JvmName(name = "a")
+            correspondingProperty: PROPERTY name:test visibility:public modality:FINAL [val]
+            $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+            BLOCK_BODY
+              RETURN type=kotlin.Nothing from='public final fun <get-test> (): kotlin.Double declared in foo.bar.box.User'
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.<get-test>' type=foo.bar.box.User origin=null
+        PROPERTY name:test2 visibility:public modality:FINAL [val]
+          FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]
+            EXPRESSION_BODY
+              GET_VAR 'test2: kotlin.Double declared in foo.bar.box.User.<init>' type=kotlin.Double origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+          FUN DEFAULT_PROPERTY_ACCESSOR name:<get-test2> visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.Double
+            annotations:
+              ColumnName(name = "b")
+              JvmName(name = "b")
+            correspondingProperty: PROPERTY name:test2 visibility:public modality:FINAL [val]
+            $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+            BLOCK_BODY
+              RETURN type=kotlin.Nothing from='public final fun <get-test2> (): kotlin.Double declared in foo.bar.box.User'
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.<get-test2>' type=foo.bar.box.User origin=null
+        CONSTRUCTOR visibility:public <> (name:kotlin.String, age:kotlin.Int, test:kotlin.Double, test2:kotlin.Double) returnType:foo.bar.box.User [primary]
+          VALUE_PARAMETER name:name index:0 type:kotlin.String
+            EXPRESSION_BODY
+              CONST String type=kotlin.String value="John Doe"
+          VALUE_PARAMETER name:age index:1 type:kotlin.Int
+            EXPRESSION_BODY
+              CONST Int type=kotlin.Int value=25
+          VALUE_PARAMETER name:test index:2 type:kotlin.Double
+            annotations:
+              ColumnName(name = "a")
+            EXPRESSION_BODY
+              CONST Double type=kotlin.Double value=1.0
+          VALUE_PARAMETER name:test2 index:3 type:kotlin.Double
+            EXPRESSION_BODY
+              CONST Double type=kotlin.Double value=2.0
+          BLOCK_BODY
+            DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+            INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]'
+        FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.String [operator]
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public final fun component1 (): kotlin.String declared in foo.bar.box.User'
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.component1' type=foo.bar.box.User origin=null
+        FUN GENERATED_DATA_CLASS_MEMBER name:component2 visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.Int [operator]
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public final fun component2 (): kotlin.Int declared in foo.bar.box.User'
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.component2' type=foo.bar.box.User origin=null
+        FUN GENERATED_DATA_CLASS_MEMBER name:component3 visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.Double [operator]
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public final fun component3 (): kotlin.Double declared in foo.bar.box.User'
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.component3' type=foo.bar.box.User origin=null
+        FUN GENERATED_DATA_CLASS_MEMBER name:component4 visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.Double [operator]
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public final fun component4 (): kotlin.Double declared in foo.bar.box.User'
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.component4' type=foo.bar.box.User origin=null
+        FUN GENERATED_DATA_CLASS_MEMBER name:copy visibility:public modality:FINAL <> ($this:foo.bar.box.User, name:kotlin.String, age:kotlin.Int, test:kotlin.Double, test2:kotlin.Double) returnType:foo.bar.box.User
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          VALUE_PARAMETER name:name index:0 type:kotlin.String
+            EXPRESSION_BODY
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.copy' type=foo.bar.box.User origin=null
+          VALUE_PARAMETER name:age index:1 type:kotlin.Int
+            EXPRESSION_BODY
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.copy' type=foo.bar.box.User origin=null
+          VALUE_PARAMETER name:test index:2 type:kotlin.Double
+            annotations:
+              ColumnName(name = "a")
+            EXPRESSION_BODY
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.copy' type=foo.bar.box.User origin=null
+          VALUE_PARAMETER name:test2 index:3 type:kotlin.Double
+            EXPRESSION_BODY
+              GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.copy' type=foo.bar.box.User origin=null
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public final fun copy (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double): foo.bar.box.User declared in foo.bar.box.User'
+              CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double) declared in foo.bar.box.User' type=foo.bar.box.User origin=null
+                name: GET_VAR 'name: kotlin.String declared in foo.bar.box.User.copy' type=kotlin.String origin=null
+                age: GET_VAR 'age: kotlin.Int declared in foo.bar.box.User.copy' type=kotlin.Int origin=null
+                test: GET_VAR 'test: kotlin.Double declared in foo.bar.box.User.copy' type=kotlin.Double origin=null
+                test2: GET_VAR 'test2: kotlin.Double declared in foo.bar.box.User.copy' type=kotlin.Double origin=null
+        FUN GENERATED_DATA_CLASS_MEMBER name:equals visibility:public modality:OPEN <> ($this:foo.bar.box.User, other:kotlin.Any?) returnType:kotlin.Boolean [operator]
+          overridden:
+            public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Any
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+          BLOCK_BODY
+            WHEN type=kotlin.Unit origin=null
+              BRANCH
+                if: CALL 'public final fun EQEQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQEQ
+                  arg0: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                  arg1: GET_VAR 'other: kotlin.Any? declared in foo.bar.box.User.equals' type=kotlin.Any? origin=null
+                then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+                  CONST Boolean type=kotlin.Boolean value=true
+            WHEN type=kotlin.Unit origin=null
+              BRANCH
+                if: TYPE_OP type=kotlin.Boolean origin=NOT_INSTANCEOF typeOperand=foo.bar.box.User
+                  GET_VAR 'other: kotlin.Any? declared in foo.bar.box.User.equals' type=kotlin.Any? origin=null
+                then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+                  CONST Boolean type=kotlin.Boolean value=false
+            VAR IR_TEMPORARY_VARIABLE name:tmp_0 type:foo.bar.box.User [val]
+              TYPE_OP type=foo.bar.box.User origin=CAST typeOperand=foo.bar.box.User
+                GET_VAR 'other: kotlin.Any? declared in foo.bar.box.User.equals' type=kotlin.Any? origin=null
+            WHEN type=kotlin.Unit origin=null
+              BRANCH
+                if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                  $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                    arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                      receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                    arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                      receiver: GET_VAR 'val tmp_0: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+                  CONST Boolean type=kotlin.Boolean value=false
+            WHEN type=kotlin.Unit origin=null
+              BRANCH
+                if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                  $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                    arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                      receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                    arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                      receiver: GET_VAR 'val tmp_0: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+                  CONST Boolean type=kotlin.Boolean value=false
+            WHEN type=kotlin.Unit origin=null
+              BRANCH
+                if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                  $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                    arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                      receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                    arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                      receiver: GET_VAR 'val tmp_0: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+                  CONST Boolean type=kotlin.Boolean value=false
+            WHEN type=kotlin.Unit origin=null
+              BRANCH
+                if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                  $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                    arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                      receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                    arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                      receiver: GET_VAR 'val tmp_0: foo.bar.box.User declared in foo.bar.box.User.equals' type=foo.bar.box.User origin=null
+                then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+                  CONST Boolean type=kotlin.Boolean value=false
+            RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+              CONST Boolean type=kotlin.Boolean value=true
+        FUN GENERATED_DATA_CLASS_MEMBER name:hashCode visibility:public modality:OPEN <> ($this:foo.bar.box.User) returnType:kotlin.Int
+          overridden:
+            public open fun hashCode (): kotlin.Int declared in kotlin.Any
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          BLOCK_BODY
+            VAR name:result type:kotlin.Int [var]
+              CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.String' type=kotlin.Int origin=null
+                $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.hashCode' type=foo.bar.box.User origin=null
+            SET_VAR 'var result: kotlin.Int declared in foo.bar.box.User.hashCode' type=kotlin.Unit origin=EQ
+              CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+                $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+                  $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.box.User.hashCode' type=kotlin.Int origin=null
+                  other: CONST Int type=kotlin.Int value=31
+                other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+                  $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                    receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.hashCode' type=foo.bar.box.User origin=null
+            SET_VAR 'var result: kotlin.Int declared in foo.bar.box.User.hashCode' type=kotlin.Unit origin=EQ
+              CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+                $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+                  $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.box.User.hashCode' type=kotlin.Int origin=null
+                  other: CONST Int type=kotlin.Int value=31
+                other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Double' type=kotlin.Int origin=null
+                  $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                    receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.hashCode' type=foo.bar.box.User origin=null
+            SET_VAR 'var result: kotlin.Int declared in foo.bar.box.User.hashCode' type=kotlin.Unit origin=EQ
+              CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+                $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+                  $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.box.User.hashCode' type=kotlin.Int origin=null
+                  other: CONST Int type=kotlin.Int value=31
+                other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Double' type=kotlin.Int origin=null
+                  $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                    receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.hashCode' type=foo.bar.box.User origin=null
+            RETURN type=kotlin.Nothing from='public open fun hashCode (): kotlin.Int declared in foo.bar.box.User'
+              GET_VAR 'var result: kotlin.Int declared in foo.bar.box.User.hashCode' type=kotlin.Int origin=null
+        FUN GENERATED_DATA_CLASS_MEMBER name:toString visibility:public modality:OPEN <> ($this:foo.bar.box.User) returnType:kotlin.String
+          overridden:
+            public open fun toString (): kotlin.String declared in kotlin.Any
+          $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public open fun toString (): kotlin.String declared in foo.bar.box.User'
+              STRING_CONCATENATION type=kotlin.String
+                CONST String type=kotlin.String value="User("
+                CONST String type=kotlin.String value="name="
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.toString' type=foo.bar.box.User origin=null
+                CONST String type=kotlin.String value=", "
+                CONST String type=kotlin.String value="age="
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.toString' type=foo.bar.box.User origin=null
+                CONST String type=kotlin.String value=", "
+                CONST String type=kotlin.String value="test="
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.toString' type=foo.bar.box.User origin=null
+                CONST String type=kotlin.String value=", "
+                CONST String type=kotlin.String value="test2="
+                GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.toString' type=foo.bar.box.User origin=null
+                CONST String type=kotlin.String value=")"
+      VAR name:user type:foo.bar.box.User [val]
+        CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double) declared in foo.bar.box.User' type=foo.bar.box.User origin=null
+      VAR name:name type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
+              <T>: foo.bar.box.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+            p0: CONST String type=kotlin.String value="name"
+          p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
+      VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
+              <T>: foo.bar.box.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+            p0: CONST String type=kotlin.String value="age"
+          p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
+      VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
+              <T>: foo.bar.box.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+            p0: CONST String type=kotlin.String value="a"
+          p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
+      VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
+              <T>: foo.bar.box.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+            p0: CONST String type=kotlin.String value="b"
+          p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: WHEN type=kotlin.Boolean origin=OROR
+            BRANCH
+              if: WHEN type=kotlin.Boolean origin=OROR
+                BRANCH
+                  if: WHEN type=kotlin.Boolean origin=OROR
+                    BRANCH
+                      if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                        $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                          arg0: GET_VAR 'val name: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                          arg1: CONST String type=kotlin.String value="John Doe"
+                      then: CONST Boolean type=kotlin.Boolean value=true
+                    BRANCH
+                      if: CONST Boolean type=kotlin.Boolean value=true
+                      then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                        $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                          arg0: GET_VAR 'val age: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                          arg1: CONST Int type=kotlin.Int value=25
+                  then: CONST Boolean type=kotlin.Boolean value=true
+                BRANCH
+                  if: CONST Boolean type=kotlin.Boolean value=true
+                  then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                    $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                      arg0: GET_VAR 'val a: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                      arg1: CONST Double type=kotlin.Double value=1.0
+              then: CONST Boolean type=kotlin.Boolean value=true
+            BRANCH
+              if: CONST Boolean type=kotlin.Boolean value=true
+              then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                  arg0: GET_VAR 'val b: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                  arg1: CONST Double type=kotlin.Double value=2.0
+          then: BLOCK type=kotlin.Unit origin=null
+            RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+              CONST String type=kotlin.String value="Could not invoke functions name(), age(), a(), or b() from Java"
+      RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+        CONST String type=kotlin.String value="OK"
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt
new file mode 100644
index 00000000..fdd20f3a
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt
@@ -0,0 +1,61 @@
+FILE: dataClassInFunctionTest.kt
+    package foo.bar
+
+    public final annotation class Sparkify : R|kotlin/Annotation| {
+        public constructor(): R|foo/bar/Sparkify| {
+            super<R|kotlin/Any|>()
+        }
+
+    }
+    public final annotation class ColumnName : R|kotlin/Annotation| {
+        public constructor(name: R|kotlin/String|): R|foo/bar/ColumnName| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+    }
+    public final fun box(): R|kotlin/String| {
+        @R|foo/bar/Sparkify|() local final data class User : R|kotlin/Any| {
+            public constructor(name: R|kotlin/String| = String(John Doe), age: R|kotlin/Int| = Int(25), @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = Double(1.0), test2: R|kotlin/Double| = Double(2.0)): R|<local>/User| {
+                super<R|kotlin/Any|>()
+            }
+
+            public final val name: R|kotlin/String| = R|<local>/name|
+                public get(): R|kotlin/String|
+
+            public final val age: R|kotlin/Int| = R|<local>/age|
+                public get(): R|kotlin/Int|
+
+            public final val test: R|kotlin/Double| = R|<local>/test|
+                public get(): R|kotlin/Double|
+
+            public final val test2: R|kotlin/Double| = R|<local>/test2|
+                @PROPERTY_GETTER:R|foo/bar/ColumnName|(name = String(b)) public get(): R|kotlin/Double|
+
+            public final operator fun component1(): R|kotlin/String|
+
+            public final operator fun component2(): R|kotlin/Int|
+
+            public final operator fun component3(): R|kotlin/Double|
+
+            public final operator fun component4(): R|kotlin/Double|
+
+            public final fun copy(name: R|kotlin/String| = this@R|<local>/User|.R|<local>/name|, age: R|kotlin/Int| = this@R|<local>/User|.R|<local>/age|, @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = this@R|<local>/User|.R|<local>/test|, test2: R|kotlin/Double| = this@R|<local>/User|.R|<local>/test2|): R|<local>/User|
+
+        }
+
+        lval user: R|<local>/User| = R|<local>/User.User|()
+        lval name: R|kotlin/Any!| = <getClass>(Q|<local>/User|).R|kotlin/jvm/java|<R|<local>/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(name)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval age: R|kotlin/Any!| = <getClass>(Q|<local>/User|).R|kotlin/jvm/java|<R|<local>/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(age)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval a: R|kotlin/Any!| = <getClass>(Q|<local>/User|).R|kotlin/jvm/java|<R|<local>/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(a)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval b: R|kotlin/Any!| = <getClass>(Q|<local>/User|).R|kotlin/jvm/java|<R|<local>/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(b)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        when () {
+            !=(R|<local>/name|, String(John Doe)) || !=(R|<local>/age|, Int(25)) || !=(R|<local>/a|, Double(1.0)) || !=(R|<local>/b|, Double(2.0)) ->  {
+                ^box String(Could not invoke functions name(), age(), a(), or b() from Java)
+            }
+        }
+
+        ^box String(OK)
+    }
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt
new file mode 100644
index 00000000..293595aa
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt
@@ -0,0 +1,26 @@
+package foo.bar
+
+annotation class Sparkify
+annotation class ColumnName(val name: String)
+
+fun box(): String {
+
+    @Sparkify
+    data class User(
+        val name: String = "John Doe",
+        val age: Int = 25,
+        @ColumnName("a") val test: Double = 1.0,
+        @get:ColumnName("b") val test2: Double = 2.0,
+    )
+
+    val user = User()
+    val name = User::class.java.getMethod("name").invoke(user)
+    val age = User::class.java.getMethod("age").invoke(user)
+    val a = User::class.java.getMethod("a").invoke(user)
+    val b = User::class.java.getMethod("b").invoke(user)
+
+    if (name != "John Doe" || age != 25 || a != 1.0 || b != 2.0) {
+        return "Could not invoke functions name(), age(), a(), or b() from Java"
+    }
+    return "OK"
+}
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
index efb4fae1..3f04e166 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Dataset.kt
@@ -358,11 +358,11 @@ fun <T1, T2> Dataset<Tuple2<T1, T2>>.sortByValue(): Dataset<Tuple2<T1, T2>> = so
 
 /** Returns a dataset sorted by the first (`first`) value of each [Pair] inside. */
 @JvmName("sortByPairKey")
-fun <T1, T2> Dataset<Pair<T1, T2>>.sortByKey(): Dataset<Pair<T1, T2>> = sort("first")
+fun <T1, T2> Dataset<Pair<T1, T2>>.sortByKey(): Dataset<Pair<T1, T2>> = sort("getFirst")
 
 /** Returns a dataset sorted by the second (`second`) value of each [Pair] inside. */
 @JvmName("sortByPairValue")
-fun <T1, T2> Dataset<Pair<T1, T2>>.sortByValue(): Dataset<Pair<T1, T2>> = sort("second")
+fun <T1, T2> Dataset<Pair<T1, T2>>.sortByValue(): Dataset<Pair<T1, T2>> = sort("getSecond")
 
 /**
  * This function creates block, where one can call any further computations on already cached dataset
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt
index 066860a8..be155590 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/DatasetFunctionTest.kt
@@ -77,6 +77,8 @@ class DatasetFunctionTest : ShouldSpec({
 
                 val first = dsOf(Left(1, "a"), Left(2, "b"))
                 val second = dsOf(Right(1, 100), Right(3, 300))
+                first.show()
+                second.show()
                 val result = first
                     .leftJoin(second, first.col("id") eq second.col("id"))
                     .map { it._1.id X it._1.name X it._2?.value }
@@ -211,8 +213,7 @@ class DatasetFunctionTest : ShouldSpec({
                     s = key
                     s shouldBe key
 
-                    if (collected.size > 1) collected.iterator()
-                    else emptyList<Tuple2<Int, String>>().iterator()
+                    if (collected.size > 1) collected else emptyList()
                 }
 
                 flatMappedWithState.count() shouldBe 2
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
index 0d4d6d52..c64c24f7 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
@@ -39,7 +39,7 @@ class TypeInferenceTest : ShouldSpec({
         @Sparkify data class Test2<T>(val vala2: T, val para2: Pair<T, String>)
         @Sparkify data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
 
-        val struct = Struct.fromJson(kotlinEncoderFor<Pair<String, Test<Int>>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<Pair<String, Test<Int>>>().prettyJson())!!
         should("contain correct typings") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("first", "string"),
@@ -70,7 +70,7 @@ class TypeInferenceTest : ShouldSpec({
         data class Test2<T>(val vala2: T, val para2: Pair<T, Single<Double>>)
         @Sparkify data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
 
-        val struct = Struct.fromJson(kotlinEncoderFor<Pair<String, Test<Int>>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<Pair<String, Test<Int>>>().prettyJson())!!
         should("contain correct typings") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("first", "string"),
@@ -101,7 +101,7 @@ class TypeInferenceTest : ShouldSpec({
     context("org.jetbrains.spark.api.org.jetbrains.spark.api.schema without generics") {
         data class Test(val a: String, val b: Int, val c: Double)
 
-        val struct = Struct.fromJson(kotlinEncoderFor<Test>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<Test>().prettyJson())!!
         should("return correct types too") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("a", "string"),
@@ -111,7 +111,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of ints") {
-        val struct = Struct.fromJson(kotlinEncoderFor<List<Int>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<List<Int>>().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -120,7 +120,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of Pairs int to long") {
-        val struct = Struct.fromJson(kotlinEncoderFor<List<Pair<Int, Long>>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<List<Pair<Int, Long>>>().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -136,7 +136,7 @@ class TypeInferenceTest : ShouldSpec({
     context("type with list of generic data class with E generic name") {
         data class Test<E>(val e: E)
 
-        val struct = Struct.fromJson(kotlinEncoderFor<List<Test<String>>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<List<Test<String>>>().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -149,7 +149,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of list of int") {
-        val struct = Struct.fromJson(kotlinEncoderFor<List<List<Int>>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<List<List<Int>>>().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -160,7 +160,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("Subtypes of list") {
-        val struct = Struct.fromJson(kotlinEncoderFor<ArrayList<Int>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<ArrayList<Int>>().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -170,7 +170,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("Subtypes of list with nullable values") {
-        val struct = Struct.fromJson(kotlinEncoderFor<ArrayList<Int?>>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<ArrayList<Int?>>().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -182,7 +182,7 @@ class TypeInferenceTest : ShouldSpec({
     context("data class with props in order lon → lat") {
         data class Test(val lon: Double, val lat: Double)
 
-        val struct = Struct.fromJson(kotlinEncoderFor<Test>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<Test>().prettyJson())!!
         should("Not change order of fields") {
             expect(struct.fields).notToEqualNull().containsExactly(
                 hasField("lon", "double"),
@@ -193,7 +193,7 @@ class TypeInferenceTest : ShouldSpec({
     context("data class with nullable list inside") {
         data class Sample(val optionList: List<Int>?)
 
-        val struct = Struct.fromJson(kotlinEncoderFor<Sample>().schema().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<Sample>().prettyJson())!!
 
         should("show that list is nullable and element is not") {
             expect(struct)
@@ -215,7 +215,7 @@ class TypeInferenceTest : ShouldSpec({
         }
 
         should("generate valid serializer schema") {
-            expect(kotlinEncoderFor<Sample>().schema()) {
+            expect(schemaFor<Sample>() as org.apache.spark.sql.types.StructType) {
                 this
                     .feature("data type", { this.fields()?.toList() }) {
                         this.notToEqualNull().toContain.inOrder.only.entry {

From df021c0d0ec8cfd697bc183b47f541895f0b097c Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sat, 23 Mar 2024 15:19:02 +0100
Subject: [PATCH 19/38] fixing more tests. Can now remain at Kotlin 2.0 if we
 set -Xlambdas=class, which can be done with gradle plugin

---
 buildSrc/src/main/kotlin/Versions.kt          |  3 +-
 .../SparkKotlinCompilerGradlePlugin.kt        |  3 ++
 kotlin-spark-api/build.gradle.kts             |  1 -
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |  6 ++-
 .../jetbrains/kotlinx/spark/api/RddDouble.kt  |  2 +-
 .../kotlinx/spark/api/SparkSession.kt         |  5 ++-
 .../kotlinx/spark/api/UserDefinedFunction.kt  |  4 +-
 .../kotlinx/spark/api/EncodingTest.kt         | 21 +++++----
 .../jetbrains/kotlinx/spark/api/RddTest.kt    |  8 +++-
 .../kotlinx/spark/api/StreamingTest.kt        | 20 ++++++---
 .../kotlinx/spark/api/TypeInferenceTest.kt    | 43 +++++++++++--------
 .../jetbrains/kotlinx/spark/api/UDFTest.kt    | 39 ++++++++++++-----
 12 files changed, 103 insertions(+), 52 deletions(-)

diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index 72b315f7..59eab276 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -2,8 +2,7 @@ object Versions : Dsl<Versions> {
     const val project = "2.0.0-SNAPSHOT"
     const val kotlinSparkApiGradlePlugin = "2.0.0-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
-//    const val kotlin = "2.0.0-Beta5" // todo issues with NonSerializable lambdas
-    const val kotlin = "1.9.23"
+    const val kotlin = "2.0.0-Beta5"
     const val jvmTarget = "8"
     const val jupyterJvmTarget = "8"
     inline val spark get() = System.getProperty("spark") as String
diff --git a/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
index 9dffe65a..23b83c41 100644
--- a/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
+++ b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
@@ -20,6 +20,9 @@ class SparkKotlinCompilerGradlePlugin : KotlinCompilerPluginSupportPlugin {
                 compilerOptions {
                     // Make sure the parameters of data classes are visible to scala
                     javaParameters.set(true)
+
+                    // Avoid NotSerializableException by making lambdas serializable
+                    freeCompilerArgs.add("-Xlambdas=class")
                 }
             }
         }
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index f1fc85ba..812af551 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -147,7 +147,6 @@ tasks.compileTestKotlin {
 kotlin {
     jvmToolchain {
         languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
-
     }
 }
 
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index c2b9f972..492e79db 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -46,6 +46,7 @@ import org.apache.spark.sql.types.UDTRegistration
 import org.apache.spark.sql.types.UserDefinedType
 import org.apache.spark.unsafe.types.CalendarInterval
 import scala.reflect.ClassTag
+import java.io.Serializable
 import kotlin.reflect.KClass
 import kotlin.reflect.KMutableProperty
 import kotlin.reflect.KType
@@ -122,7 +123,10 @@ fun schemaFor(kType: KType): DataType = kotlinEncoderFor<Any?>(kType).schema().u
 @Deprecated("Use schemaFor instead", ReplaceWith("schemaFor(kType)"))
 fun schema(kType: KType) = schemaFor(kType)
 
-object KotlinTypeInference {
+object KotlinTypeInference : Serializable {
+
+    // https://blog.stylingandroid.com/kotlin-serializable-objects/
+    private fun readResolve(): Any = KotlinTypeInference
 
     /**
      * @param kClass the class for which to infer the encoder.
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/RddDouble.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/RddDouble.kt
index 3ba3ab72..6bc28203 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/RddDouble.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/RddDouble.kt
@@ -20,7 +20,7 @@ inline fun <reified T : Number> JavaRDD<T>.toJavaDoubleRDD(): JavaDoubleRDD =
 
 /** Utility method to convert [JavaDoubleRDD] to [JavaRDD]<[Double]>. */
 @Suppress("UNCHECKED_CAST")
-fun JavaDoubleRDD.toDoubleRDD(): JavaRDD<Double> =
+inline fun JavaDoubleRDD.toDoubleRDD(): JavaRDD<Double> =
     JavaDoubleRDD.toRDD(this).toJavaRDD() as JavaRDD<Double>
 
 /** Add up the elements in this RDD. */
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt
index dde819a8..393f945f 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/SparkSession.kt
@@ -44,6 +44,7 @@ import org.apache.spark.streaming.Durations
 import org.apache.spark.streaming.api.java.JavaStreamingContext
 import org.jetbrains.kotlinx.spark.api.SparkLogLevel.ERROR
 import org.jetbrains.kotlinx.spark.api.tuples.*
+import scala.reflect.ClassTag
 import java.io.Serializable
 
 /**
@@ -406,7 +407,7 @@ private fun getDefaultHadoopConf(): Configuration {
  * @return `Broadcast` object, a read-only variable cached on each machine
  */
 inline fun <reified T> SparkSession.broadcast(value: T): Broadcast<T> = try {
-    sparkContext.broadcast(value, kotlinEncoderFor<T>().clsTag())
+    sparkContext.broadcast(value, ClassTag.apply(T::class.java))
 } catch (e: ClassNotFoundException) {
     JavaSparkContext(sparkContext).broadcast(value)
 }
@@ -426,7 +427,7 @@ inline fun <reified T> SparkSession.broadcast(value: T): Broadcast<T> = try {
     DeprecationLevel.WARNING
 )
 inline fun <reified T> SparkContext.broadcast(value: T): Broadcast<T> = try {
-    broadcast(value, kotlinEncoderFor<T>().clsTag())
+    broadcast(value, ClassTag.apply(T::class.java))
 } catch (e: ClassNotFoundException) {
     JavaSparkContext(this).broadcast(value)
 }
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
index 5c1a3071..60e8f7c8 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/UserDefinedFunction.kt
@@ -69,9 +69,9 @@ class TypeOfUDFParameterNotSupportedException(kClass: KClass<*>, parameterName:
 )
 
 @JvmName("arrayColumnAsSeq")
-fun <DsType, T> TypedColumn<DsType, Array<T>>.asSeq(): TypedColumn<DsType, Seq<T>> = typed()
+inline fun <DsType, reified T> TypedColumn<DsType, Array<T>>.asSeq(): TypedColumn<DsType, Seq<T>> = typed()
 @JvmName("iterableColumnAsSeq")
-fun <DsType, T, I : Iterable<T>> TypedColumn<DsType, I>.asSeq(): TypedColumn<DsType, Seq<T>> = typed()
+inline fun <DsType, reified T, I : Iterable<T>> TypedColumn<DsType, I>.asSeq(): TypedColumn<DsType, Seq<T>> = typed()
 @JvmName("byteArrayColumnAsSeq")
 fun <DsType> TypedColumn<DsType, ByteArray>.asSeq(): TypedColumn<DsType, Seq<Byte>> = typed()
 @JvmName("charArrayColumnAsSeq")
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
index 2fc9b791..295faa19 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
@@ -41,6 +41,9 @@ import java.time.Period
 
 class EncodingTest : ShouldSpec({
 
+    @Sparkify
+    data class SparkifiedPair<T, U>(val first: T, val second: U)
+
     context("encoders") {
         withSpark(props = mapOf("spark.sql.codegen.comments" to true)) {
 
@@ -134,8 +137,8 @@ class EncodingTest : ShouldSpec({
             }
 
             should("be able to serialize Date") {
-                val datePair = Date.valueOf("2020-02-10") to 5
-                val dataset: Dataset<Pair<Date, Int>> = dsOf(datePair)
+                val datePair = SparkifiedPair(Date.valueOf("2020-02-10"), 5)
+                val dataset: Dataset<SparkifiedPair<Date, Int>> = dsOf(datePair)
                 dataset.collectAsList() shouldBe listOf(datePair)
             }
 
@@ -213,6 +216,8 @@ class EncodingTest : ShouldSpec({
 
             context("Give proper names to columns of data classes") {
 
+                infix fun <A, B> A.to(other: B) = SparkifiedPair(this, other)
+
                 should("Be able to serialize pairs") {
                     val pairs = listOf(
                         1 to "1",
@@ -653,25 +658,25 @@ class EncodingTest : ShouldSpec({
             }
 
             should("handle arrays of generics") {
-                data class Test<Z>(val id: Long, val data: Array<Pair<Z, Int>>)
+                data class Test<Z>(val id: Long, val data: Array<SparkifiedPair<Z, Int>>)
 
-                val result = listOf(Test(1, arrayOf(5.1 to 6, 6.1 to 7)))
+                val result = listOf(Test(1, arrayOf(SparkifiedPair(5.1, 6), SparkifiedPair(6.1, 7))))
                     .toDS()
                     .map { it.id to it.data.firstOrNull { liEl -> liEl.first < 6 } }
                     .map { it.second }
                     .collectAsList()
-                expect(result).toContain.inOrder.only.values(5.1 to 6)
+                expect(result).toContain.inOrder.only.values(SparkifiedPair(5.1, 6))
             }
 
             should("handle lists of generics") {
-                data class Test<Z>(val id: Long, val data: List<Pair<Z, Int>>)
+                data class Test<Z>(val id: Long, val data: List<SparkifiedPair<Z, Int>>)
 
-                val result = listOf(Test(1, listOf(5.1 to 6, 6.1 to 7)))
+                val result = listOf(Test(1, listOf(SparkifiedPair(5.1, 6), SparkifiedPair(6.1, 7))))
                     .toDS()
                     .map { it.id to it.data.firstOrNull { liEl -> liEl.first < 6 } }
                     .map { it.second }
                     .collectAsList()
-                expect(result).toContain.inOrder.only.values(5.1 to 6)
+                expect(result).toContain.inOrder.only.values(SparkifiedPair(5.1, 6))
             }
 
             should("handle boxed arrays") {
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
index 5f9b6d94..e3a9b87e 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
@@ -6,11 +6,15 @@ import io.kotest.matchers.shouldBe
 import org.apache.spark.api.java.JavaRDD
 import org.jetbrains.kotlinx.spark.api.tuples.*
 import scala.Tuple2
+import java.io.Serializable
 
-class RddTest : ShouldSpec({
+class RddTest : Serializable, ShouldSpec({
     context("RDD extension functions") {
 
-        withSpark(logLevel = SparkLogLevel.DEBUG) {
+        withSpark(
+            props = mapOf("spark.sql.codegen.wholeStage" to false),
+            logLevel = SparkLogLevel.DEBUG,
+        ) {
 
             context("Key/value") {
                 should("work with spark example") {
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
index a27d080b..86542aa8 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
@@ -39,6 +39,7 @@ import scala.Tuple2
 import java.io.File
 import java.io.Serializable
 import java.nio.charset.StandardCharsets
+import java.nio.file.Files
 import java.util.*
 import java.util.concurrent.atomic.AtomicBoolean
 
@@ -201,10 +202,10 @@ class StreamingTest : ShouldSpec({
 
 private val scalaCompatVersion = SCALA_COMPAT_VERSION
 private val sparkVersion = SPARK_VERSION
-private fun createTempDir() = File.createTempFile(
-    System.getProperty("java.io.tmpdir"),
-    "spark_${scalaCompatVersion}_${sparkVersion}"
-).apply { deleteOnExit() }
+private fun createTempDir() =
+    Files.createTempDirectory("spark_${scalaCompatVersion}_${sparkVersion}")
+        .toFile()
+        .also { it.deleteOnExit() }
 
 private fun checkpointFile(checkpointDir: String, checkpointTime: Time): Path {
     val klass = Class.forName("org.apache.spark.streaming.Checkpoint$")
@@ -215,7 +216,10 @@ private fun checkpointFile(checkpointDir: String, checkpointTime: Time): Path {
     return checkpointFileMethod.invoke(module, checkpointDir, checkpointTime) as Path
 }
 
-private fun getCheckpointFiles(checkpointDir: String, fs: scala.Option<FileSystem>): scala.collection.immutable.Seq<Path> {
+private fun getCheckpointFiles(
+    checkpointDir: String,
+    fs: scala.Option<FileSystem>
+): scala.collection.immutable.Seq<Path> {
     val klass = Class.forName("org.apache.spark.streaming.Checkpoint$")
     val moduleField = klass.getField("MODULE$").also { it.isAccessible = true }
     val module = moduleField.get(null)
@@ -227,7 +231,11 @@ private fun getCheckpointFiles(checkpointDir: String, fs: scala.Option<FileSyste
 private fun createCorruptedCheckpoint(): String {
     val checkpointDirectory = createTempDir().absolutePath
     val fakeCheckpointFile = checkpointFile(checkpointDirectory, Time(1000))
-    FileUtils.write(File(fakeCheckpointFile.toString()), "spark_corrupt_${scalaCompatVersion}_${sparkVersion}", StandardCharsets.UTF_8)
+    FileUtils.write(
+        File(fakeCheckpointFile.toString()),
+        "spark_corrupt_${scalaCompatVersion}_${sparkVersion}",
+        StandardCharsets.UTF_8
+    )
     assert(getCheckpointFiles(checkpointDirectory, (null as FileSystem?).toOption()).nonEmpty())
     return checkpointDirectory
 }
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
index c64c24f7..3cd8aa9f 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/TypeInferenceTest.kt
@@ -30,16 +30,22 @@ import org.jetbrains.kotlinx.spark.api.struct.model.ElementType.ComplexElement
 import org.jetbrains.kotlinx.spark.api.struct.model.ElementType.SimpleElement
 import org.jetbrains.kotlinx.spark.api.struct.model.Struct
 import org.jetbrains.kotlinx.spark.api.struct.model.StructField
-import kotlin.reflect.typeOf
-
 
 @OptIn(ExperimentalStdlibApi::class)
 class TypeInferenceTest : ShouldSpec({
+    @Sparkify
+    data class SparkifiedPair<T, U>(val first: T, val second: U)
+
+    @Sparkify
+    data class SparkifiedTriple<T, U, V>(val first: T, val second: U, val third: V)
+
     context("org.jetbrains.spark.api.org.jetbrains.spark.api.schema") {
-        @Sparkify data class Test2<T>(val vala2: T, val para2: Pair<T, String>)
-        @Sparkify data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
+        @Sparkify
+        data class Test2<T>(val vala2: T, val para2: SparkifiedPair<T, String>)
+        @Sparkify
+        data class Test<T>(val vala: T, val tripl1: SparkifiedTriple<T, Test2<Long>, T>)
 
-        val struct = Struct.fromJson(schemaFor<Pair<String, Test<Int>>>().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<SparkifiedPair<String, Test<Int>>>().prettyJson())!!
         should("contain correct typings") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("first", "string"),
@@ -65,12 +71,15 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("org.jetbrains.spark.api.org.jetbrains.spark.api.schema with more complex data") {
-        @Sparkify data class Single<T>(val vala3: T)
         @Sparkify
-        data class Test2<T>(val vala2: T, val para2: Pair<T, Single<Double>>)
-        @Sparkify data class Test<T>(val vala: T, val tripl1: Triple<T, Test2<Long>, T>)
+        data class Single<T>(val vala3: T)
+
+        @Sparkify
+        data class Test2<T>(val vala2: T, val para2: SparkifiedPair<T, Single<Double>>)
+        @Sparkify
+        data class Test<T>(val vala: T, val tripl1: SparkifiedTriple<T, Test2<Long>, T>)
 
-        val struct = Struct.fromJson(schemaFor<Pair<String, Test<Int>>>().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<SparkifiedPair<String, Test<Int>>>().prettyJson())!!
         should("contain correct typings") {
             expect(struct.fields).notToEqualNull().toContain.inAnyOrder.only.entries(
                 hasField("first", "string"),
@@ -99,7 +108,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("org.jetbrains.spark.api.org.jetbrains.spark.api.schema without generics") {
-        data class Test(val a: String, val b: Int, val c: Double)
+        @Sparkify data class Test(val a: String, val b: Int, val c: Double)
 
         val struct = Struct.fromJson(schemaFor<Test>().prettyJson())!!
         should("return correct types too") {
@@ -120,7 +129,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of Pairs int to long") {
-        val struct = Struct.fromJson(schemaFor<List<Pair<Int, Long>>>().prettyJson())!!
+        val struct = Struct.fromJson(schemaFor<List<SparkifiedPair<Int, Long>>>().prettyJson())!!
         should("return correct types too") {
             expect(struct) {
                 isOfType("array")
@@ -134,7 +143,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("type with list of generic data class with E generic name") {
-        data class Test<E>(val e: E)
+        @Sparkify data class Test<E>(val e: E)
 
         val struct = Struct.fromJson(schemaFor<List<Test<String>>>().prettyJson())!!
         should("return correct types too") {
@@ -180,7 +189,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("data class with props in order lon → lat") {
-        data class Test(val lon: Double, val lat: Double)
+        @Sparkify data class Test(val lon: Double, val lat: Double)
 
         val struct = Struct.fromJson(schemaFor<Test>().prettyJson())!!
         should("Not change order of fields") {
@@ -191,7 +200,7 @@ class TypeInferenceTest : ShouldSpec({
         }
     }
     context("data class with nullable list inside") {
-        data class Sample(val optionList: List<Int>?)
+        @Sparkify data class Sample(val optionList: List<Int>?)
 
         val struct = Struct.fromJson(schemaFor<Sample>().prettyJson())!!
 
@@ -223,8 +232,8 @@ class TypeInferenceTest : ShouldSpec({
                                 .feature("element name", { name() }) { toEqual("optionList") }
                                 .feature("field type", { dataType() }, {
                                     this
-                                        .isA<ArrayType>()
-                                        .feature("element type", { elementType() }) { isA<IntegerType>() }
+                                        .toBeAnInstanceOf<ArrayType>()
+                                        .feature("element type", { elementType() }) { toBeAnInstanceOf<IntegerType>() }
                                         .feature("element nullable", { containsNull() }) { toEqual(expected = false) }
                                 })
                                 .feature("optionList nullable", { nullable() }) { toEqual(true) }
@@ -258,5 +267,5 @@ private fun hasStruct(
 
 private fun hasField(name: String, type: String): Expect<StructField>.() -> Unit = {
     feature { f(it::name) }.toEqual(name)
-    feature { f(it::type) }.isA<TypeName>().feature { f(it::value) }.toEqual(type)
+    feature { f(it::type) }.toBeAnInstanceOf<TypeName>().feature { f(it::value) }.toEqual(type)
 }
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
index 26b79c30..8bac0408 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/UDFTest.kt
@@ -35,6 +35,7 @@ import org.apache.spark.sql.expressions.Aggregator
 import org.intellij.lang.annotations.Language
 import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import org.junit.jupiter.api.assertThrows
+import scala.Product
 import scala.collection.Seq
 import java.io.Serializable
 import kotlin.random.Random
@@ -235,7 +236,8 @@ class UDFTest : ShouldSpec({
                     udf.register(::stringIntDiff)
 
                     @Language("SQL")
-                    val result = spark.sql("SELECT stringIntDiff(first, second) FROM test1").to<Int>().collectAsList()
+                    val result =
+                        spark.sql("SELECT stringIntDiff(getFirst, getSecond) FROM test1").to<Int>().collectAsList()
                     result shouldBe listOf(96, 96)
                 }
             }
@@ -304,7 +306,8 @@ class UDFTest : ShouldSpec({
                     )
                     ds should beOfType<Dataset<String>>()
 
-                    "${nameConcatAge.name}(${NormalClass::name.name}, ${NormalClass::age.name})" shouldBe ds.columns().single()
+                    "${nameConcatAge.name}(${NormalClass::name.name}, ${NormalClass::age.name})" shouldBe ds.columns()
+                        .single()
 
                     val collectAsList = ds.collectAsList()
                     collectAsList[0] shouldBe "a-10"
@@ -329,7 +332,8 @@ class UDFTest : ShouldSpec({
                     )
                     ds should beOfType<Dataset<Row>>()
 
-                    "${nameConcatAge.name}(${NormalClass::name.name}, ${NormalClass::age.name})" shouldBe ds.columns().single()
+                    "${nameConcatAge.name}(${NormalClass::name.name}, ${NormalClass::age.name})" shouldBe ds.columns()
+                        .single()
 
                     val collectAsList = ds.collectAsList()
                     collectAsList[0].getAs<String>(0) shouldBe "a-10"
@@ -354,7 +358,8 @@ class UDFTest : ShouldSpec({
                     )
                     ds should beOfType<Dataset<Row>>()
 
-                    "${nameConcatAge.name}(${NormalClass::name.name}, ${NormalClass::age.name})" shouldBe ds.columns().single()
+                    "${nameConcatAge.name}(${NormalClass::name.name}, ${NormalClass::age.name})" shouldBe ds.columns()
+                        .single()
 
                     val collectAsList = ds.collectAsList()
                     collectAsList[0].getAs<String>(0) shouldBe "a-10"
@@ -419,13 +424,14 @@ class UDFTest : ShouldSpec({
 
         context("udf return data class") {
             withSpark(logLevel = SparkLogLevel.DEBUG) {
+                /** TODO [org.apache.spark.sql.catalyst.CatalystTypeConverters.StructConverter.toCatalystImpl] needs it to be a [scala.Product] */
                 should("return NormalClass") {
                     listOf("a" to 1, "b" to 2).toDS().toDF().createOrReplaceTempView("test2")
 
                     udf.register("toNormalClass") { name: String, age: Int ->
                         NormalClass(age, name)
                     }
-                    spark.sql("select toNormalClass(first, second) from test2").show()
+                    spark.sql("select toNormalClass(getFirst, getSecond) from test2").show()
                 }
 
                 should("not return NormalClass when not registered") {
@@ -434,16 +440,17 @@ class UDFTest : ShouldSpec({
                     val toNormalClass2 = udf("toNormalClass2", ::NormalClass)
 
                     shouldThrow<AnalysisException> {
-                        spark.sql("select toNormalClass2(first, second) from test2").show()
+                        spark.sql("select toNormalClass2(getFirst, getSecond) from test2").show()
                     }
                 }
 
+                /** TODO [org.apache.spark.sql.catalyst.CatalystTypeConverters.StructConverter.toCatalystImpl] needs it to be a [scala.Product] */
                 should("return NormalClass using accessed by delegate") {
                     listOf(1 to "a", 2 to "b").toDS().toDF().createOrReplaceTempView("test2")
                     val toNormalClass3 = udf("toNormalClass3", ::NormalClass)
                     toNormalClass3.register()
 
-                    spark.sql("select toNormalClass3(first, second) from test2").show()
+                    spark.sql("select toNormalClass3(getFirst, getSecond) from test2").show()
                 }
             }
         }
@@ -643,7 +650,6 @@ class UDFTest : ShouldSpec({
                 }
 
 
-
             }
         }
 
@@ -1262,8 +1268,10 @@ class UDFTest : ShouldSpec({
     }
 })
 
-@Sparkify data class Employee(val name: String, val salary: Long)
-@Sparkify data class Average(var sum: Long, var count: Long)
+@Sparkify
+data class Employee(val name: String, val salary: Long)
+@Sparkify
+data class Average(var sum: Long, var count: Long)
 
 private object MyAverage : Aggregator<Employee, Average, Double>() {
     // A zero value for this aggregation. Should satisfy the property that any b + zero = b
@@ -1322,6 +1330,17 @@ data class NormalClass(
     val age: Int,
     val name: String
 )
+//    : Product {
+//    override fun canEqual(that: Any?): Boolean = that is NormalClass
+//
+//    override fun productElement(n: Int): Any =
+//        when (n) {
+//            0 -> age
+//            1 -> name
+//            else -> throw IndexOutOfBoundsException(n.toString())
+//        }
+//    override fun productArity(): Int = 2
+//}
 
 private val firstByteVal = { a: ByteArray -> a.firstOrNull() }
 private val firstShortVal = { a: ShortArray -> a.firstOrNull() }

From 4c17859e72317d90a676f8d11410dea15387e808 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 24 Mar 2024 14:42:41 +0100
Subject: [PATCH 20/38] added conversion for @Sparkify'ed classes to
 scala.Product with tests.

---
 build.gradle.kts                              |   3 +
 .../SparkifyCompilerPluginRegistrar.kt        |   4 +
 .../DataClassPropertyAnnotationGenerator.kt   | 263 +++++++-
 .../ir/SparkifyIrGenerationExtension.kt       |   2 +
 .../runners/BoxTestGenerated.java             |   6 +
 .../compilerPlugin/runners/BaseTestRunner.kt  |   2 +-
 .../ExtensionRegistrarConfigurator.kt         |   2 +
 .../box/dataClassIsProductTest.fir.ir.txt     | 563 ++++++++++++++++++
 .../box/dataClassIsProductTest.fir.txt        | 104 ++++
 .../testData/box/dataClassIsProductTest.kt    |  58 ++
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |   3 +
 11 files changed, 1004 insertions(+), 6 deletions(-)
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt
 create mode 100644 compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt

diff --git a/build.gradle.kts b/build.gradle.kts
index 56775b23..feab33b2 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -152,6 +152,9 @@ subprojects {
             buildConfigField("defaultSparkifyFqName", defaultSparkifyFqName)
             buildConfigField("defaultColumnNameFqName", defaultColumnNameFqName)
             buildConfigField("projectRoot", projectRoot)
+
+            buildConfigField("scalaVersion", Versions.scala)
+            buildConfigField("sparkVersion", Versions.spark)
         }
     }
 }
\ No newline at end of file
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
index f42698db..6390c45f 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
@@ -23,10 +23,14 @@ open class SparkifyCompilerPluginRegistrar: CompilerPluginRegistrar() {
         val columnNameAnnotationFqNames = configuration.get(KEY_COLUMN_NAME_ANNOTATION_FQ_NAMES)
             ?: listOf(Artifacts.defaultColumnNameFqName)
 
+        val productFqNames = // TODO: get from configuration
+            listOf("scala.Product")
+
         IrGenerationExtension.registerExtension(
             SparkifyIrGenerationExtension(
                 sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
                 columnNameAnnotationFqNames = columnNameAnnotationFqNames,
+                productFqNames = productFqNames,
             )
         )
     }
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
index 91ddf573..30df9799 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
@@ -1,33 +1,56 @@
 package org.jetbrains.kotlinx.spark.api.compilerPlugin.ir
 
 import org.jetbrains.kotlin.backend.common.extensions.IrPluginContext
+import org.jetbrains.kotlin.backend.common.ir.addDispatchReceiver
+import org.jetbrains.kotlin.backend.common.lower.createIrBuilder
+import org.jetbrains.kotlin.backend.common.lower.irThrow
+import org.jetbrains.kotlin.descriptors.Modality
 import org.jetbrains.kotlin.ir.IrElement
 import org.jetbrains.kotlin.ir.UNDEFINED_OFFSET
 import org.jetbrains.kotlin.ir.backend.js.utils.valueArguments
+import org.jetbrains.kotlin.ir.builders.declarations.addFunction
+import org.jetbrains.kotlin.ir.builders.declarations.addValueParameter
+import org.jetbrains.kotlin.ir.builders.irBlockBody
+import org.jetbrains.kotlin.ir.builders.irBranch
+import org.jetbrains.kotlin.ir.builders.irCall
+import org.jetbrains.kotlin.ir.builders.irElseBranch
+import org.jetbrains.kotlin.ir.builders.irEquals
+import org.jetbrains.kotlin.ir.builders.irGet
+import org.jetbrains.kotlin.ir.builders.irIs
+import org.jetbrains.kotlin.ir.builders.irReturn
+import org.jetbrains.kotlin.ir.builders.irWhen
 import org.jetbrains.kotlin.ir.declarations.IrClass
-import org.jetbrains.kotlin.ir.declarations.IrDeclaration
-import org.jetbrains.kotlin.ir.declarations.IrFile
-import org.jetbrains.kotlin.ir.declarations.IrModuleFragment
 import org.jetbrains.kotlin.ir.declarations.IrProperty
-import org.jetbrains.kotlin.ir.expressions.IrBlockBody
 import org.jetbrains.kotlin.ir.expressions.IrConst
+import org.jetbrains.kotlin.ir.expressions.IrStatementOrigin
 import org.jetbrains.kotlin.ir.expressions.impl.IrConstImpl
 import org.jetbrains.kotlin.ir.expressions.impl.IrConstructorCallImpl
+import org.jetbrains.kotlin.ir.symbols.UnsafeDuringIrConstructionAPI
+import org.jetbrains.kotlin.ir.types.classFqName
+import org.jetbrains.kotlin.ir.types.classOrNull
 import org.jetbrains.kotlin.ir.types.defaultType
+import org.jetbrains.kotlin.ir.types.superTypes
 import org.jetbrains.kotlin.ir.util.constructors
+import org.jetbrains.kotlin.ir.util.defaultType
+import org.jetbrains.kotlin.ir.util.functions
 import org.jetbrains.kotlin.ir.util.hasAnnotation
 import org.jetbrains.kotlin.ir.util.isAnnotationWithEqualFqName
 import org.jetbrains.kotlin.ir.util.parentAsClass
 import org.jetbrains.kotlin.ir.util.primaryConstructor
+import org.jetbrains.kotlin.ir.util.properties
+import org.jetbrains.kotlin.ir.util.toIrConst
 import org.jetbrains.kotlin.ir.visitors.IrElementVisitorVoid
 import org.jetbrains.kotlin.ir.visitors.acceptChildrenVoid
 import org.jetbrains.kotlin.name.ClassId
 import org.jetbrains.kotlin.name.FqName
+import org.jetbrains.kotlin.name.Name
+import org.jetbrains.kotlin.name.SpecialNames
 
 class DataClassPropertyAnnotationGenerator(
     private val pluginContext: IrPluginContext,
     private val sparkifyAnnotationFqNames: List<String>,
     private val columnNameAnnotationFqNames: List<String>,
+    private val productFqNames: List<String>,
 ) : IrElementVisitorVoid {
 
     init {
@@ -51,11 +74,35 @@ class DataClassPropertyAnnotationGenerator(
         }
     }
 
+    /**
+     * Converts
+     * ```kt
+     * @Sparkify
+     * data class User(
+     *     val name: String = "John Doe",
+     *     @get:JvmName("ignored") val age: Int = 25,
+     *     @ColumnName("a") val test: Double = 1.0,
+     *     @get:ColumnName("b") val test2: Double = 2.0,
+     * )
+     * ```
+     * to
+     * ```kt
+     * @Sparkify
+     * data class User(
+     *     @get:JvmName("name") val name: String = "John Doe",
+     *     @get:JvmName("age") val age: Int = 25,
+     *     @get:JvmName("a") @ColumnName("a") val test: Double = 1.0,
+     *     @get:JvmName("b") @get:ColumnName("b") val test2: Double = 2.0,
+     * )
+     * ```
+     */
     override fun visitProperty(declaration: IrProperty) {
         val origin = declaration.parent as? IrClass ?: return super.visitProperty(declaration)
         if (sparkifyAnnotationFqNames.none { origin.hasAnnotation(FqName(it)) })
             return super.visitProperty(declaration)
 
+        if (!origin.isData) return super.visitProperty(declaration)
+
         // must be in primary constructor
         val constructorParams = declaration.parentAsClass.primaryConstructor?.valueParameters
             ?: return super.visitProperty(declaration)
@@ -96,7 +143,7 @@ class DataClassPropertyAnnotationGenerator(
             .filterNot { it.isAnnotationWithEqualFqName(jvmNameFqName) }
 
         // create a new JvmName annotation with newName
-        val jvmNameClassId = ClassId(jvmNameFqName.parent(), jvmNameFqName.shortName())
+        val jvmNameClassId = jvmNameFqName.toClassId()
         val jvmName = pluginContext.referenceClass(jvmNameClassId)!!
         val jvmNameConstructor = jvmName
             .constructors
@@ -118,4 +165,210 @@ class DataClassPropertyAnnotationGenerator(
         getter.annotations += jvmNameAnnotationCall
         println("Added @get:JvmName(\"$newName\") annotation to property ${origin.name}.${declaration.name}")
     }
+
+    private fun FqName.toClassId(): ClassId = ClassId(packageFqName = parent(), topLevelName = shortName())
+
+    /**
+     * Converts
+     * ```kt
+     * @Sparkify
+     * data class User(
+     *    val name: String = "John Doe",
+     *    val age: Int = 25,
+     *    @ColumnName("a") val test: Double = 1.0,
+     *    @get:ColumnName("b") val test2: Double = 2.0,
+     * )
+     * ```
+     * to
+     * ```kt
+     * @Sparkify
+     * data class User(
+     *    val name: String = "John Doe",
+     *    val age: Int = 25,
+     *    @ColumnName("a") val test: Double = 1.0,
+     *    @get:ColumnName("b") val test2: Double = 2.0,
+     * ): scala.Product {
+     *   override fun canEqual(that: Any?): Boolean = that is User
+     *   override fun productElement(n: Int): Any = when (n) {
+     *      0 -> name
+     *      1 -> age
+     *      2 -> test
+     *      else -> throw IndexOutOfBoundsException(n.toString())
+     *    }
+     *    override fun productArity(): Int = 4
+     * }
+     * ```
+     */
+    @OptIn(UnsafeDuringIrConstructionAPI::class)
+    override fun visitClass(declaration: IrClass) {
+        if (sparkifyAnnotationFqNames.none { declaration.hasAnnotation(FqName(it)) })
+            return super.visitClass(declaration)
+
+        if (!declaration.isData) return super.visitClass(declaration)
+
+        // add superclass
+        val scalaProductClass = productFqNames.firstNotNullOfOrNull {
+            val classId = ClassId.topLevel(FqName(it))
+//                ClassId(
+//                packageFqName = FqName("scala"),
+//                topLevelName = Name.identifier("Product"),
+//            )
+            pluginContext.referenceClass(classId)
+        }!!
+
+        declaration.superTypes += scalaProductClass.defaultType
+
+        // finding the constructor params
+        val constructorParams = declaration.primaryConstructor?.valueParameters
+            ?: return super.visitClass(declaration)
+
+        // finding properties
+        val props = declaration.properties
+
+        // getting the properties that are in the constructor
+        val properties = constructorParams.mapNotNull { param ->
+            props.firstOrNull { it.name == param.name }
+        }
+
+        // finding supertype Equals
+        val superEqualsInterface = scalaProductClass.superTypes()
+            .first { it.classFqName?.shortName()?.asString()?.contains("Equals") == true }
+            .classOrNull ?: return super.visitClass(declaration)
+
+        // add canEqual
+        val superCanEqualFunction = superEqualsInterface.functions.first {
+            it.owner.name.asString() == "canEqual" &&
+                    it.owner.valueParameters.size == 1 &&
+                    it.owner.valueParameters.first().type == pluginContext.irBuiltIns.anyNType
+        }
+
+        val canEqualFunction = declaration.addFunction(
+            name = "canEqual",
+            returnType = pluginContext.irBuiltIns.booleanType,
+            modality = Modality.OPEN,
+        )
+        with(canEqualFunction) {
+            overriddenSymbols = listOf(superCanEqualFunction)
+            parent = declaration
+
+            // add implicit $this parameter
+            addDispatchReceiver {
+                name = SpecialNames.THIS
+                type = declaration.defaultType
+            }
+
+            // add that parameter
+            val that = addValueParameter(
+                name = Name.identifier("that"),
+                type = pluginContext.irBuiltIns.anyNType,
+            )
+
+            // add body
+            body = pluginContext.irBuiltIns.createIrBuilder(symbol).irBlockBody {
+                val call = irIs(argument = irGet(that), type = declaration.defaultType)
+                +irReturn(call)
+            }
+        }
+
+        // add productArity
+        val superProductArityFunction = scalaProductClass.functions.first {
+            it.owner.name.asString() == "productArity" &&
+                    it.owner.valueParameters.isEmpty()
+        }
+
+        val productArityFunction = declaration.addFunction(
+            name = "productArity",
+            returnType = pluginContext.irBuiltIns.intType,
+            modality = Modality.OPEN,
+        )
+        with(productArityFunction) {
+            overriddenSymbols = listOf(superProductArityFunction)
+            parent = declaration
+
+            // add implicit $this parameter
+            addDispatchReceiver {
+                name = SpecialNames.THIS
+                type = declaration.defaultType
+            }
+
+            // add body
+            body = pluginContext.irBuiltIns.createIrBuilder(symbol).irBlockBody {
+                val const = properties.size.toIrConst(pluginContext.irBuiltIns.intType)
+                +irReturn(const)
+            }
+        }
+
+        // add productElement
+        val superProductElementFunction = scalaProductClass.functions.first {
+            it.owner.name.asString() == "productElement" &&
+                    it.owner.valueParameters.size == 1 &&
+                    it.owner.valueParameters.first().type == pluginContext.irBuiltIns.intType
+        }
+
+        val productElementFunction = declaration.addFunction(
+            name = "productElement",
+            returnType = pluginContext.irBuiltIns.anyNType,
+            modality = Modality.OPEN,
+        )
+        with(productElementFunction) {
+            overriddenSymbols = listOf(superProductElementFunction)
+            parent = declaration
+
+            // add implicit $this parameter
+            val `this` = addDispatchReceiver {
+                name = SpecialNames.THIS
+                type = declaration.defaultType
+            }
+
+            // add n parameter
+            val n = addValueParameter(
+                name = Name.identifier("n"),
+                type = pluginContext.irBuiltIns.intType,
+            )
+
+            // add body
+            body = pluginContext.irBuiltIns.createIrBuilder(symbol).irBlockBody {
+                val whenBranches = buildList {
+                    for ((i, prop) in properties.withIndex()) {
+                        val condition = irEquals(
+                            arg1 = irGet(n),
+                            arg2 = i.toIrConst(pluginContext.irBuiltIns.intType),
+                        )
+                        val call = irCall(prop.getter!!)
+                        with(call) {
+                            origin = IrStatementOrigin.GET_PROPERTY
+                            dispatchReceiver = irGet(`this`)
+                        }
+
+                        val branch = irBranch(
+                            condition = condition,
+                            result = call
+                        )
+                        add(branch)
+                    }
+
+                    val ioobClass = pluginContext.referenceClass(
+                        FqName("java.lang.IndexOutOfBoundsException").toClassId()
+                    )!!
+                    val ioobConstructor = ioobClass.constructors.first { it.owner.valueParameters.isEmpty() }
+                    val throwCall = irThrow(
+                        IrConstructorCallImpl.fromSymbolOwner(
+                            ioobClass.defaultType,
+                            ioobConstructor
+                        )
+                    )
+                    val elseBranch = irElseBranch(throwCall)
+                    add(elseBranch)
+                }
+                val whenBlock = irWhen(pluginContext.irBuiltIns.anyNType, whenBranches)
+                with(whenBlock) {
+                    origin = IrStatementOrigin.IF
+                }
+                +irReturn(whenBlock)
+            }
+        }
+
+        // pass down to the properties
+        declaration.acceptChildrenVoid(this)
+    }
 }
\ No newline at end of file
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
index 02732fe4..a22cc6f8 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
@@ -9,6 +9,7 @@ import org.jetbrains.kotlinx.spark.api.compilerPlugin.ir.DataClassPropertyAnnota
 class SparkifyIrGenerationExtension(
     private val sparkifyAnnotationFqNames: List<String>,
     private val columnNameAnnotationFqNames: List<String>,
+    private val productFqNames: List<String>,
 ) : IrGenerationExtension {
     override fun generate(moduleFragment: IrModuleFragment, pluginContext: IrPluginContext) {
         val visitors = listOf(
@@ -16,6 +17,7 @@ class SparkifyIrGenerationExtension(
                 pluginContext = pluginContext,
                 sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
                 columnNameAnnotationFqNames = columnNameAnnotationFqNames,
+                productFqNames = productFqNames,
             ),
         )
         for (visitor in visitors) {
diff --git a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
index fef04e1c..1cb5a221 100644
--- a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
+++ b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BoxTestGenerated.java
@@ -27,6 +27,12 @@ public void testDataClassInFunctionTest() {
     runTest("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt");
   }
 
+  @Test
+  @TestMetadata("dataClassIsProductTest.kt")
+  public void testDataClassIsProductTest() {
+    runTest("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt");
+  }
+
   @Test
   @TestMetadata("dataClassTest.kt")
   public void testDataClassTest() {
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BaseTestRunner.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BaseTestRunner.kt
index fb3da3cb..c60b54ed 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BaseTestRunner.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/BaseTestRunner.kt
@@ -35,6 +35,6 @@ fun TestConfigurationBuilder.commonFirWithPluginFrontendConfiguration() {
     }
 
     useConfigurators(
-        ::ExtensionRegistrarConfigurator
+        ::ExtensionRegistrarConfigurator,
     )
 }
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
index f16e26d8..b7942a4e 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
@@ -15,10 +15,12 @@ class ExtensionRegistrarConfigurator(testServices: TestServices) : EnvironmentCo
     ) {
         val sparkifyAnnotationFqNames = listOf("foo.bar.Sparkify")
         val columnNameAnnotationFqNames = listOf("foo.bar.ColumnName")
+        val productFqNames = listOf("foo.bar.Product")
         IrGenerationExtension.registerExtension(
             SparkifyIrGenerationExtension(
                 sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
                 columnNameAnnotationFqNames = columnNameAnnotationFqNames,
+                productFqNames = productFqNames,
             )
         )
     }
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt
new file mode 100644
index 00000000..7db10a08
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt
@@ -0,0 +1,563 @@
+FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
+  CLASS ANNOTATION_CLASS name:ColumnName modality:OPEN visibility:public superTypes:[kotlin.Annotation]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.ColumnName
+    PROPERTY name:name visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'name: kotlin.String declared in foo.bar.ColumnName.<init>' type=kotlin.String origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-name> visibility:public modality:FINAL <> ($this:foo.bar.ColumnName) returnType:kotlin.String
+        correspondingProperty: PROPERTY name:name visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.ColumnName
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-name> (): kotlin.String declared in foo.bar.ColumnName'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.ColumnName declared in foo.bar.ColumnName.<get-name>' type=foo.bar.ColumnName origin=null
+    CONSTRUCTOR visibility:public <> (name:kotlin.String) returnType:foo.bar.ColumnName [primary]
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS ANNOTATION_CLASS name:ColumnName modality:OPEN visibility:public superTypes:[kotlin.Annotation]'
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+  CLASS ANNOTATION_CLASS name:Sparkify modality:OPEN visibility:public superTypes:[kotlin.Annotation]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Sparkify
+    CONSTRUCTOR visibility:public <> () returnType:foo.bar.Sparkify [primary]
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS ANNOTATION_CLASS name:Sparkify modality:OPEN visibility:public superTypes:[kotlin.Annotation]'
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Annotation
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]
+    annotations:
+      Sparkify
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.User
+    PROPERTY name:name visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'name: kotlin.String declared in foo.bar.User.<init>' type=kotlin.String origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-name> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.String
+        annotations:
+          JvmName(name = "name")
+        correspondingProperty: PROPERTY name:name visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-name> (): kotlin.String declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-name>' type=foo.bar.User origin=null
+    PROPERTY name:age visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'age: kotlin.Int declared in foo.bar.User.<init>' type=kotlin.Int origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-age> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Int
+        annotations:
+          JvmName(name = "age")
+        correspondingProperty: PROPERTY name:age visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-age> (): kotlin.Int declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-age>' type=foo.bar.User origin=null
+    PROPERTY name:test visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'test: kotlin.Double declared in foo.bar.User.<init>' type=kotlin.Double origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-test> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double
+        annotations:
+          JvmName(name = "a")
+        correspondingProperty: PROPERTY name:test visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-test> (): kotlin.Double declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-test>' type=foo.bar.User origin=null
+    PROPERTY name:test2 visibility:public modality:FINAL [val]
+      FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]
+        EXPRESSION_BODY
+          GET_VAR 'test2: kotlin.Double declared in foo.bar.User.<init>' type=kotlin.Double origin=INITIALIZE_PROPERTY_FROM_PARAMETER
+      FUN DEFAULT_PROPERTY_ACCESSOR name:<get-test2> visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double
+        annotations:
+          ColumnName(name = "b")
+          JvmName(name = "b")
+        correspondingProperty: PROPERTY name:test2 visibility:public modality:FINAL [val]
+        $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+        BLOCK_BODY
+          RETURN type=kotlin.Nothing from='public final fun <get-test2> (): kotlin.Double declared in foo.bar.User'
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.<get-test2>' type=foo.bar.User origin=null
+    CONSTRUCTOR visibility:public <> (name:kotlin.String, age:kotlin.Int, test:kotlin.Double, test2:kotlin.Double) returnType:foo.bar.User [primary]
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+        EXPRESSION_BODY
+          CONST String type=kotlin.String value="John Doe"
+      VALUE_PARAMETER name:age index:1 type:kotlin.Int
+        EXPRESSION_BODY
+          CONST Int type=kotlin.Int value=25
+      VALUE_PARAMETER name:test index:2 type:kotlin.Double
+        annotations:
+          ColumnName(name = "a")
+        EXPRESSION_BODY
+          CONST Double type=kotlin.Double value=1.0
+      VALUE_PARAMETER name:test2 index:3 type:kotlin.Double
+        EXPRESSION_BODY
+          CONST Double type=kotlin.Double value=2.0
+      BLOCK_BODY
+        DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]'
+    FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.String [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component1 (): kotlin.String declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component1' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:component2 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Int [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component2 (): kotlin.Int declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component2' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:component3 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component3 (): kotlin.Double declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component3' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:component4 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.Double [operator]
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun component4 (): kotlin.Double declared in foo.bar.User'
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.component4' type=foo.bar.User origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:copy visibility:public modality:FINAL <> ($this:foo.bar.User, name:kotlin.String, age:kotlin.Int, test:kotlin.Double, test2:kotlin.Double) returnType:foo.bar.User
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      VALUE_PARAMETER name:name index:0 type:kotlin.String
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      VALUE_PARAMETER name:age index:1 type:kotlin.Int
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      VALUE_PARAMETER name:test index:2 type:kotlin.Double
+        annotations:
+          ColumnName(name = "a")
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      VALUE_PARAMETER name:test2 index:3 type:kotlin.Double
+        EXPRESSION_BODY
+          GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+            receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.copy' type=foo.bar.User origin=null
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public final fun copy (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double): foo.bar.User declared in foo.bar.User'
+          CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double) declared in foo.bar.User' type=foo.bar.User origin=null
+            name: GET_VAR 'name: kotlin.String declared in foo.bar.User.copy' type=kotlin.String origin=null
+            age: GET_VAR 'age: kotlin.Int declared in foo.bar.User.copy' type=kotlin.Int origin=null
+            test: GET_VAR 'test: kotlin.Double declared in foo.bar.User.copy' type=kotlin.Double origin=null
+            test2: GET_VAR 'test2: kotlin.Double declared in foo.bar.User.copy' type=kotlin.Double origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:equals visibility:public modality:OPEN <> ($this:foo.bar.User, other:kotlin.Any?) returnType:kotlin.Boolean [operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+      BLOCK_BODY
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun EQEQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQEQ
+              arg0: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+              arg1: GET_VAR 'other: kotlin.Any? declared in foo.bar.User.equals' type=kotlin.Any? origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=true
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: TYPE_OP type=kotlin.Boolean origin=NOT_INSTANCEOF typeOperand=foo.bar.User
+              GET_VAR 'other: kotlin.Any? declared in foo.bar.User.equals' type=kotlin.Any? origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        VAR IR_TEMPORARY_VARIABLE name:tmp_0 type:foo.bar.User [val]
+          TYPE_OP type=foo.bar.User origin=CAST typeOperand=foo.bar.User
+            GET_VAR 'other: kotlin.Any? declared in foo.bar.User.equals' type=kotlin.Any? origin=null
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+                  receiver: GET_VAR 'val tmp_0: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                  receiver: GET_VAR 'val tmp_0: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR 'val tmp_0: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        WHEN type=kotlin.Unit origin=null
+          BRANCH
+            if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+              $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                arg0: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+                arg1: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                  receiver: GET_VAR 'val tmp_0: foo.bar.User declared in foo.bar.User.equals' type=foo.bar.User origin=null
+            then: RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+              CONST Boolean type=kotlin.Boolean value=false
+        RETURN type=kotlin.Nothing from='public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+          CONST Boolean type=kotlin.Boolean value=true
+    FUN GENERATED_DATA_CLASS_MEMBER name:hashCode visibility:public modality:OPEN <> ($this:foo.bar.User) returnType:kotlin.Int
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        VAR name:result type:kotlin.Int [var]
+          CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.String' type=kotlin.Int origin=null
+            $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        SET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Unit origin=EQ
+          CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+            $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+              other: CONST Int type=kotlin.Int value=31
+            other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+                receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        SET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Unit origin=EQ
+          CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+            $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+              other: CONST Int type=kotlin.Int value=31
+            other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Double' type=kotlin.Int origin=null
+              $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        SET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Unit origin=EQ
+          CALL 'public final fun plus (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+            $this: CALL 'public final fun times (other: kotlin.Int): kotlin.Int declared in kotlin.Int' type=kotlin.Int origin=null
+              $this: GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+              other: CONST Int type=kotlin.Int value=31
+            other: CALL 'public open fun hashCode (): kotlin.Int declared in kotlin.Double' type=kotlin.Int origin=null
+              $this: GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+                receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.hashCode' type=foo.bar.User origin=null
+        RETURN type=kotlin.Nothing from='public open fun hashCode (): kotlin.Int declared in foo.bar.User'
+          GET_VAR 'var result: kotlin.Int declared in foo.bar.User.hashCode' type=kotlin.Int origin=null
+    FUN GENERATED_DATA_CLASS_MEMBER name:toString visibility:public modality:OPEN <> ($this:foo.bar.User) returnType:kotlin.String
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun toString (): kotlin.String declared in foo.bar.User'
+          STRING_CONCATENATION type=kotlin.String
+            CONST String type=kotlin.String value="User("
+            CONST String type=kotlin.String value="name="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:name type:kotlin.String visibility:private [final]' type=kotlin.String origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=", "
+            CONST String type=kotlin.String value="age="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=", "
+            CONST String type=kotlin.String value="test="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=", "
+            CONST String type=kotlin.String value="test2="
+            GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
+              receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
+            CONST String type=kotlin.String value=")"
+    FUN name:canEqual visibility:public modality:OPEN <> ($this:foo.bar.User, that:kotlin.Any?) returnType:kotlin.Boolean
+      overridden:
+        public abstract fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:$this type:foo.bar.User
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+          TYPE_OP type=kotlin.Boolean origin=INSTANCEOF typeOperand=foo.bar.User
+            GET_VAR 'that: kotlin.Any? declared in foo.bar.User.canEqual' type=kotlin.Any? origin=null
+    FUN name:productArity visibility:public modality:OPEN <> ($this:foo.bar.User) returnType:kotlin.Int
+      overridden:
+        public abstract fun productArity (): kotlin.Int declared in foo.bar.Product
+      $this: VALUE_PARAMETER name:$this type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun productArity (): kotlin.Int declared in foo.bar.User'
+          CONST Int type=kotlin.Int value=4
+    FUN name:productElement visibility:public modality:OPEN <> ($this:foo.bar.User, n:kotlin.Int) returnType:kotlin.Any?
+      overridden:
+        public abstract fun productElement (n: kotlin.Int): kotlin.Any declared in foo.bar.Product
+      $this: VALUE_PARAMETER name:$this type:foo.bar.User
+      VALUE_PARAMETER name:n index:0 type:kotlin.Int
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun productElement (n: kotlin.Int): kotlin.Any? declared in foo.bar.User'
+          WHEN type=kotlin.Any? origin=IF
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=0
+              then: CALL 'public final fun <get-name> (): kotlin.String declared in foo.bar.User' type=kotlin.String origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=1
+              then: CALL 'public final fun <get-age> (): kotlin.Int declared in foo.bar.User' type=kotlin.Int origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=2
+              then: CALL 'public final fun <get-test> (): kotlin.Double declared in foo.bar.User' type=kotlin.Double origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=3
+              then: CALL 'public final fun <get-test2> (): kotlin.Double declared in foo.bar.User' type=kotlin.Double origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CONST Boolean type=kotlin.Boolean value=true
+              then: THROW type=kotlin.Nothing
+                CONSTRUCTOR_CALL 'public constructor <init> () declared in java.lang.IndexOutOfBoundsException' type=java.lang.IndexOutOfBoundsException origin=null
+  CLASS INTERFACE name:Equals modality:ABSTRACT visibility:public superTypes:[kotlin.Any]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Equals
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN name:canEqual visibility:public modality:ABSTRACT <> ($this:foo.bar.Equals, that:kotlin.Any?) returnType:kotlin.Boolean
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Equals
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+  CLASS INTERFACE name:Product modality:ABSTRACT visibility:public superTypes:[foo.bar.Equals]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Product
+    FUN FAKE_OVERRIDE name:canEqual visibility:public modality:ABSTRACT <> ($this:foo.bar.Equals, that:kotlin.Any?) returnType:kotlin.Boolean [fake_override]
+      overridden:
+        public abstract fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Equals
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN name:productArity visibility:public modality:ABSTRACT <> ($this:foo.bar.Product) returnType:kotlin.Int
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Product
+    FUN name:productElement visibility:public modality:ABSTRACT <> ($this:foo.bar.Product, n:kotlin.Int) returnType:kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Product
+      VALUE_PARAMETER name:n index:0 type:kotlin.Int
+  FUN name:box visibility:public modality:FINAL <> () returnType:kotlin.String
+    BLOCK_BODY
+      VAR name:user type:foo.bar.User [val]
+        CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double) declared in foo.bar.User' type=foo.bar.User origin=null
+      VAR name:name type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="name"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="age"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="a"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="b"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: WHEN type=kotlin.Boolean origin=OROR
+            BRANCH
+              if: WHEN type=kotlin.Boolean origin=OROR
+                BRANCH
+                  if: WHEN type=kotlin.Boolean origin=OROR
+                    BRANCH
+                      if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                        $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                          arg0: GET_VAR 'val name: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                          arg1: CONST String type=kotlin.String value="John Doe"
+                      then: CONST Boolean type=kotlin.Boolean value=true
+                    BRANCH
+                      if: CONST Boolean type=kotlin.Boolean value=true
+                      then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                        $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                          arg0: GET_VAR 'val age: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                          arg1: CONST Int type=kotlin.Int value=25
+                  then: CONST Boolean type=kotlin.Boolean value=true
+                BRANCH
+                  if: CONST Boolean type=kotlin.Boolean value=true
+                  then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                    $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                      arg0: GET_VAR 'val a: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                      arg1: CONST Double type=kotlin.Double value=1.0
+              then: CONST Boolean type=kotlin.Boolean value=true
+            BRANCH
+              if: CONST Boolean type=kotlin.Boolean value=true
+              then: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+                $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+                  arg0: GET_VAR 'val b: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+                  arg1: CONST Double type=kotlin.Double value=2.0
+          then: BLOCK type=kotlin.Unit origin=null
+            RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+              CONST String type=kotlin.String value="Could not invoke functions name(), age(), a(), or b() from Java"
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: TYPE_OP type=kotlin.Boolean origin=NOT_INSTANCEOF typeOperand=foo.bar.Product
+            GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+          then: RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+            CONST String type=kotlin.String value="User is not a Product"
+      VAR name:canEqual type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="canEqual"
+            p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] java.lang.Class<*>?>? varargElementType=@[FlexibleNullability] java.lang.Class<*>?
+              CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<kotlin.Any> origin=GET_PROPERTY
+                <T>: kotlin.Any
+                $receiver: CLASS_REFERENCE 'CLASS IR_EXTERNAL_DECLARATION_STUB CLASS name:Any modality:OPEN visibility:public superTypes:[]' type=kotlin.reflect.KClass<kotlin.Any>
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+          p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] kotlin.Any?>? varargElementType=@[FlexibleNullability] kotlin.Any?
+            GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+            $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+              arg0: GET_VAR 'val canEqual: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+              arg1: CONST Boolean type=kotlin.Boolean value=true
+          then: BLOCK type=kotlin.Unit origin=null
+            RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+              CONST String type=kotlin.String value="Could invoke function canEqual() from Java but was false"
+      VAR name:productArity type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="productArity"
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+            $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+              arg0: GET_VAR 'val productArity: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+              arg1: CONST Int type=kotlin.Int value=4
+          then: BLOCK type=kotlin.Unit origin=null
+            RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+              STRING_CONCATENATION type=kotlin.String
+                CONST String type=kotlin.String value="Could invoke function productArity() from Java but was "
+                GET_VAR 'val productArity: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+      VAR name:productElement type:@[FlexibleNullability] kotlin.Any? [val]
+        CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+          $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+            $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+              <T>: foo.bar.User
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+            p0: CONST String type=kotlin.String value="productElement"
+            p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] java.lang.Class<*>?>? varargElementType=@[FlexibleNullability] java.lang.Class<*>?
+              CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<kotlin.Int> origin=GET_PROPERTY
+                <T>: kotlin.Int
+                $receiver: CLASS_REFERENCE 'CLASS IR_EXTERNAL_DECLARATION_STUB CLASS name:Int modality:FINAL visibility:public superTypes:[kotlin.Number; kotlin.Comparable<kotlin.Int>; java.io.Serializable]' type=kotlin.reflect.KClass<kotlin.Int>
+          p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+          p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] kotlin.Any?>? varargElementType=@[FlexibleNullability] kotlin.Any?
+            CONST Int type=kotlin.Int value=0
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: CALL 'public final fun not (): kotlin.Boolean declared in kotlin.Boolean' type=kotlin.Boolean origin=EXCLEQ
+            $this: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EXCLEQ
+              arg0: GET_VAR 'val productElement: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+              arg1: CONST String type=kotlin.String value="John Doe"
+          then: BLOCK type=kotlin.Unit origin=null
+            RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+              STRING_CONCATENATION type=kotlin.String
+                CONST String type=kotlin.String value="Could invoke function productElement() from Java but was "
+                GET_VAR 'val productElement: @[FlexibleNullability] kotlin.Any? declared in foo.bar.box' type=@[FlexibleNullability] kotlin.Any? origin=null
+      TYPE_OP type=kotlin.Unit origin=IMPLICIT_COERCION_TO_UNIT typeOperand=kotlin.Unit
+        TRY type=@[FlexibleNullability] kotlin.Any?
+          try: BLOCK type=@[FlexibleNullability] kotlin.Any? origin=null
+            CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
+              $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
+                $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
+                  <T>: foo.bar.User
+                  $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+                p0: CONST String type=kotlin.String value="productElement"
+                p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] java.lang.Class<*>?>? varargElementType=@[FlexibleNullability] java.lang.Class<*>?
+                  CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<kotlin.Int> origin=GET_PROPERTY
+                    <T>: kotlin.Int
+                    $receiver: CLASS_REFERENCE 'CLASS IR_EXTERNAL_DECLARATION_STUB CLASS name:Int modality:FINAL visibility:public superTypes:[kotlin.Number; kotlin.Comparable<kotlin.Int>; java.io.Serializable]' type=kotlin.reflect.KClass<kotlin.Int>
+              p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+              p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] kotlin.Any?>? varargElementType=@[FlexibleNullability] kotlin.Any?
+                CONST Int type=kotlin.Int value=10
+          CATCH parameter=val e: java.lang.Exception declared in foo.bar.box
+            VAR CATCH_PARAMETER name:e type:java.lang.Exception [val]
+            BLOCK type=kotlin.Nothing origin=null
+              RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+                CONST String type=kotlin.String value="OK"
+      RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+        CONST String type=kotlin.String value="Could invoke function productElement() from Java but did not throw IndexOutOfBoundsException"
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt
new file mode 100644
index 00000000..d3df3864
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt
@@ -0,0 +1,104 @@
+FILE: dataClassIsProductTest.kt
+    package foo.bar
+
+    public final annotation class Sparkify : R|kotlin/Annotation| {
+        public constructor(): R|foo/bar/Sparkify| {
+            super<R|kotlin/Any|>()
+        }
+
+    }
+    public final annotation class ColumnName : R|kotlin/Annotation| {
+        public constructor(name: R|kotlin/String|): R|foo/bar/ColumnName| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+    }
+    public abstract interface Equals : R|kotlin/Any| {
+        public abstract fun canEqual(that: R|kotlin/Any?|): R|kotlin/Boolean|
+
+    }
+    public abstract interface Product : R|foo/bar/Equals| {
+        public abstract fun productElement(n: R|kotlin/Int|): R|kotlin/Any|
+
+        public abstract fun productArity(): R|kotlin/Int|
+
+    }
+    public final fun box(): R|kotlin/String| {
+        lval user: R|foo/bar/User| = R|foo/bar/User.User|()
+        lval name: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(name)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval age: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(age)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval a: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(a)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        lval b: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(b)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        when () {
+            !=(R|<local>/name|, String(John Doe)) || !=(R|<local>/age|, Int(25)) || !=(R|<local>/a|, Double(1.0)) || !=(R|<local>/b|, Double(2.0)) ->  {
+                ^box String(Could not invoke functions name(), age(), a(), or b() from Java)
+            }
+        }
+
+        @R|kotlin/Suppress|(names = vararg(String(USELESS_IS_CHECK))) when () {
+            (R|<local>/user| !is R|foo/bar/Product|) ->  {
+                ^box String(User is not a Product)
+            }
+        }
+
+        lval canEqual: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(canEqual), vararg(<getClass>(Q|kotlin/Any|).R|kotlin/jvm/java|<R|kotlin/Any|>)).R|java/lang/reflect/Method.invoke|(R|<local>/user|, vararg(R|<local>/user|))
+        when () {
+            !=(R|<local>/canEqual|, Boolean(true)) ->  {
+                ^box String(Could invoke function canEqual() from Java but was false)
+            }
+        }
+
+        lval productArity: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(productArity)).R|java/lang/reflect/Method.invoke|(R|<local>/user|)
+        when () {
+            !=(R|<local>/productArity|, Int(4)) ->  {
+                ^box <strcat>(String(Could invoke function productArity() from Java but was ), R|<local>/productArity|)
+            }
+        }
+
+        lval productElement: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(productElement), vararg(<getClass>(Q|kotlin/Int|).R|kotlin/jvm/java|<R|kotlin/Int|>)).R|java/lang/reflect/Method.invoke|(R|<local>/user|, vararg(Int(0)))
+        when () {
+            !=(R|<local>/productElement|, String(John Doe)) ->  {
+                ^box <strcat>(String(Could invoke function productElement() from Java but was ), R|<local>/productElement|)
+            }
+        }
+
+        try {
+            <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(productElement), vararg(<getClass>(Q|kotlin/Int|).R|kotlin/jvm/java|<R|kotlin/Int|>)).R|java/lang/reflect/Method.invoke|(R|<local>/user|, vararg(Int(10)))
+        }
+        catch (e: R|kotlin/Exception|) {
+            ^box String(OK)
+        }
+
+        ^box String(Could invoke function productElement() from Java but did not throw IndexOutOfBoundsException)
+    }
+    @R|foo/bar/Sparkify|() public final data class User : R|kotlin/Any| {
+        public constructor(name: R|kotlin/String| = String(John Doe), age: R|kotlin/Int| = Int(25), @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = Double(1.0), test2: R|kotlin/Double| = Double(2.0)): R|foo/bar/User| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+        public final val age: R|kotlin/Int| = R|<local>/age|
+            public get(): R|kotlin/Int|
+
+        public final val test: R|kotlin/Double| = R|<local>/test|
+            public get(): R|kotlin/Double|
+
+        public final val test2: R|kotlin/Double| = R|<local>/test2|
+            @PROPERTY_GETTER:R|foo/bar/ColumnName|(name = String(b)) public get(): R|kotlin/Double|
+
+        public final operator fun component1(): R|kotlin/String|
+
+        public final operator fun component2(): R|kotlin/Int|
+
+        public final operator fun component3(): R|kotlin/Double|
+
+        public final operator fun component4(): R|kotlin/Double|
+
+        public final fun copy(name: R|kotlin/String| = this@R|foo/bar/User|.R|foo/bar/User.name|, age: R|kotlin/Int| = this@R|foo/bar/User|.R|foo/bar/User.age|, @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = this@R|foo/bar/User|.R|foo/bar/User.test|, test2: R|kotlin/Double| = this@R|foo/bar/User|.R|foo/bar/User.test2|): R|foo/bar/User|
+
+    }
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt
new file mode 100644
index 00000000..f62410e3
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt
@@ -0,0 +1,58 @@
+package foo.bar
+
+annotation class Sparkify
+annotation class ColumnName(val name: String)
+
+// Fake Equals
+interface Equals {
+    fun canEqual(that: Any?): Boolean
+}
+
+// Fake Product
+interface Product: Equals {
+    fun productElement(n: Int): Any
+    fun productArity(): Int
+}
+
+fun box(): String {
+    val user = User()
+    val name = User::class.java.getMethod("name").invoke(user)
+    val age = User::class.java.getMethod("age").invoke(user)
+    val a = User::class.java.getMethod("a").invoke(user)
+    val b = User::class.java.getMethod("b").invoke(user)
+
+    if (name != "John Doe" || age != 25 || a != 1.0 || b != 2.0) {
+        return "Could not invoke functions name(), age(), a(), or b() from Java"
+    }
+    @Suppress("USELESS_IS_CHECK")
+    if (user !is foo.bar.Product)
+        return "User is not a Product"
+
+    val canEqual = User::class.java.getMethod("canEqual", Any::class.java).invoke(user, user)
+    if (canEqual != true) {
+        return "Could invoke function canEqual() from Java but was false"
+    }
+    val productArity = User::class.java.getMethod("productArity").invoke(user)
+    if (productArity != 4) {
+        return "Could invoke function productArity() from Java but was $productArity"
+    }
+    val productElement = User::class.java.getMethod("productElement", Int::class.java).invoke(user, 0)
+    if (productElement != "John Doe") {
+        return "Could invoke function productElement() from Java but was $productElement"
+    }
+    try {
+        User::class.java.getMethod("productElement", Int::class.java).invoke(user, 10)
+    } catch (e: Exception) {
+        return "OK"
+    }
+
+    return "Could invoke function productElement() from Java but did not throw IndexOutOfBoundsException"
+}
+
+@Sparkify
+data class User(
+    val name: String = "John Doe",
+    val age: Int = 25,
+    @ColumnName("a") val test: Double = 1.0,
+    @get:ColumnName("b") val test2: Double = 2.0,
+)
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 492e79db..62e46676 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -495,6 +495,9 @@ object KotlinTypeInference : Serializable {
             }
 
             kClass.isData -> {
+                // TODO provide warnings for non-Sparkify annotated classes
+                // TODO especially Pair and Triple, promote people to use Tuple2 and Tuple3 or use "getFirst" etc. as column name
+
                 if (currentType in seenTypeSet) throw IllegalStateException("Circular reference detected for type $currentType")
                 val constructor = kClass.primaryConstructor!!
                 val kParameters = constructor.parameters

From 2f62d07fba354340c2bd49f67e8824a8805e4a4e Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 24 Mar 2024 16:20:02 +0100
Subject: [PATCH 21/38] started WIP fir plugin, disabled for now

---
 .../compilerPlugin/SimplePluginRegistrar.kt   |   8 --
 .../SparkifyCompilerPluginRegistrar.kt        |  13 +-
 .../SparkifyFirPluginRegistrar.kt             |  23 ++++
 .../DataClassSparkifyFunctionsGenerator.kt    | 115 ++++++++++++++++++
 .../DataClassSparkifySuperTypeGenerator.kt    |  59 +++++++++
 ...rator.kt => DataClassSparkifyGenerator.kt} |   2 +-
 .../ir/SparkifyIrGenerationExtension.kt       |   3 +-
 .../runners/DiagnosticTestGenerated.java      |  28 +++++
 .../spark/api/compilerPlugin/GenerateTests.kt |   7 +-
 .../ExtensionRegistrarConfigurator.kt         |  12 ++
 .../testData/diagnostics/dataClassTest.kt     |  28 +++++
 11 files changed, 283 insertions(+), 15 deletions(-)
 delete mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SimplePluginRegistrar.kt
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyFirPluginRegistrar.kt
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifyFunctionsGenerator.kt
 create mode 100644 compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt
 rename compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/{DataClassPropertyAnnotationGenerator.kt => DataClassSparkifyGenerator.kt} (99%)
 create mode 100644 compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java
 create mode 100644 compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.kt

diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SimplePluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SimplePluginRegistrar.kt
deleted file mode 100644
index 2451839f..00000000
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SimplePluginRegistrar.kt
+++ /dev/null
@@ -1,8 +0,0 @@
-package org.jetbrains.kotlinx.spark.api.compilerPlugin
-
-import org.jetbrains.kotlin.fir.extensions.FirExtensionRegistrar
-
-// Potential future K2 FIR hook
-class SimplePluginRegistrar(private val sparkifyAnnotationFqNames: List<String>) : FirExtensionRegistrar() {
-    override fun ExtensionRegistrarContext.configurePlugin() {}
-}
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
index 6390c45f..f2456d50 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyCompilerPluginRegistrar.kt
@@ -3,10 +3,12 @@ package org.jetbrains.kotlinx.spark.api.compilerPlugin
 import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
 import org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
 import org.jetbrains.kotlin.config.CompilerConfiguration
+import org.jetbrains.kotlin.fir.extensions.FirExtensionRegistrar
+import org.jetbrains.kotlin.fir.extensions.FirExtensionRegistrarAdapter
 import org.jetbrains.kotlinx.spark.api.Artifacts
 import org.jetbrains.kotlinx.spark.api.compilerPlugin.ir.SparkifyIrGenerationExtension
 
-open class SparkifyCompilerPluginRegistrar: CompilerPluginRegistrar() {
+open class SparkifyCompilerPluginRegistrar : CompilerPluginRegistrar() {
     init {
         println("SparkifyCompilerPluginRegistrar loaded")
     }
@@ -26,6 +28,15 @@ open class SparkifyCompilerPluginRegistrar: CompilerPluginRegistrar() {
         val productFqNames = // TODO: get from configuration
             listOf("scala.Product")
 
+        // Front end (FIR)
+//        FirExtensionRegistrarAdapter.registerExtension(
+//            SparkifyFirPluginRegistrar(
+//                sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+//                productFqNames = productFqNames,
+//            )
+//        )
+
+        // Intermediate Representation IR
         IrGenerationExtension.registerExtension(
             SparkifyIrGenerationExtension(
                 sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyFirPluginRegistrar.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyFirPluginRegistrar.kt
new file mode 100644
index 00000000..aca02af7
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/SparkifyFirPluginRegistrar.kt
@@ -0,0 +1,23 @@
+package org.jetbrains.kotlinx.spark.api.compilerPlugin
+
+import org.jetbrains.kotlin.fir.extensions.FirExtensionRegistrar
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.fir.DataClassSparkifyFunctionsGenerator
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.fir.DataClassSparkifySuperTypeGenerator
+
+// Potential future K2 FIR hook
+// TODO
+class SparkifyFirPluginRegistrar(
+    private val sparkifyAnnotationFqNames: List<String>,
+    private val productFqNames: List<String>
+) : FirExtensionRegistrar() {
+    override fun ExtensionRegistrarContext.configurePlugin() {
+        +DataClassSparkifySuperTypeGenerator.builder(
+            sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+            productFqNames = productFqNames,
+        )
+        +DataClassSparkifyFunctionsGenerator.builder(
+            sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+            productFqNames = productFqNames,
+        )
+    }
+}
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifyFunctionsGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifyFunctionsGenerator.kt
new file mode 100644
index 00000000..007c6e2c
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifyFunctionsGenerator.kt
@@ -0,0 +1,115 @@
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.fir
+
+import org.jetbrains.kotlin.GeneratedDeclarationKey
+import org.jetbrains.kotlin.fir.FirSession
+import org.jetbrains.kotlin.fir.declarations.utils.isData
+import org.jetbrains.kotlin.fir.extensions.FirDeclarationGenerationExtension
+import org.jetbrains.kotlin.fir.extensions.MemberGenerationContext
+import org.jetbrains.kotlin.fir.plugin.createMemberFunction
+import org.jetbrains.kotlin.fir.render
+import org.jetbrains.kotlin.fir.resolve.getSuperTypes
+import org.jetbrains.kotlin.fir.symbols.impl.FirClassSymbol
+import org.jetbrains.kotlin.fir.symbols.impl.FirNamedFunctionSymbol
+import org.jetbrains.kotlin.fir.types.toClassSymbol
+import org.jetbrains.kotlin.name.CallableId
+import org.jetbrains.kotlin.name.Name
+
+class DataClassSparkifyFunctionsGenerator(
+    session: FirSession,
+    private val sparkifyAnnotationFqNames: List<String>,
+    private val productFqNames: List<String>,
+) : FirDeclarationGenerationExtension(session) {
+
+    companion object {
+        fun builder(
+            sparkifyAnnotationFqNames: List<String>,
+            productFqNames: List<String>
+        ): (FirSession) -> FirDeclarationGenerationExtension = {
+            DataClassSparkifyFunctionsGenerator(
+                session = it,
+                sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+                productFqNames = productFqNames,
+            )
+        }
+
+        // functions to generate
+        val canEqual = Name.identifier("canEqual")
+        val productElement = Name.identifier("productElement")
+        val productArity = Name.identifier("productArity")
+    }
+
+    override fun generateFunctions(
+        callableId: CallableId,
+        context: MemberGenerationContext?
+    ): List<FirNamedFunctionSymbol> {
+        val owner = context?.owner ?: return emptyList()
+
+        val functionName = callableId.callableName
+        val superTypes = owner.getSuperTypes(session)
+        val superProduct = superTypes.first {
+            it.toString().endsWith("Product")
+        }.toClassSymbol(session)!!
+        val superEquals = superTypes.first {
+            it.toString().endsWith("Equals")
+        }.toClassSymbol(session)!!
+
+        val function = when (functionName) {
+            canEqual -> {
+                val func = createMemberFunction(
+                    owner = owner,
+                    key = Key,
+                    name = functionName,
+                    returnType = session.builtinTypes.booleanType.type,
+                ) {
+                    valueParameter(
+                        name = Name.identifier("that"),
+                        type = session.builtinTypes.nullableAnyType.type,
+                    )
+                }
+//                val superFunction = superEquals.declarationSymbols.first {
+//                    it is FirNamedFunctionSymbol && it.name == functionName
+//                } as FirNamedFunctionSymbol
+//                overrides(func, superFunction)
+                func
+            }
+
+            productElement -> {
+                createMemberFunction(
+                    owner = owner,
+                    key = Key,
+                    name = functionName,
+                    returnType = session.builtinTypes.nullableAnyType.type,
+                ) {
+                    valueParameter(
+                        name = Name.identifier("n"),
+                        type = session.builtinTypes.intType.type,
+                    )
+                }
+            }
+
+            productArity -> {
+                createMemberFunction(
+                    owner = owner,
+                    key = Key,
+                    name = functionName,
+                    returnType = session.builtinTypes.intType.type,
+                )
+            }
+
+            else -> {
+                return emptyList()
+            }
+        }
+
+        return listOf(function.symbol)
+    }
+
+    override fun getCallableNamesForClass(classSymbol: FirClassSymbol<*>, context: MemberGenerationContext): Set<Name> =
+        if (classSymbol.isData && classSymbol.annotations.any { "Sparkify" in it.render() }) {
+            setOf(canEqual, productElement, productArity)
+        } else {
+            emptySet()
+        }
+
+    object Key : GeneratedDeclarationKey()
+}
\ No newline at end of file
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt
new file mode 100644
index 00000000..339b3269
--- /dev/null
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt
@@ -0,0 +1,59 @@
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.fir
+
+import org.jetbrains.kotlin.fir.FirSession
+import org.jetbrains.kotlin.fir.declarations.FirClassLikeDeclaration
+import org.jetbrains.kotlin.fir.declarations.utils.isData
+import org.jetbrains.kotlin.fir.extensions.FirSupertypeGenerationExtension
+import org.jetbrains.kotlin.fir.render
+import org.jetbrains.kotlin.fir.resolve.fqName
+import org.jetbrains.kotlin.fir.symbols.impl.ConeClassLikeLookupTagImpl
+import org.jetbrains.kotlin.fir.types.FirResolvedTypeRef
+import org.jetbrains.kotlin.fir.types.builder.buildResolvedTypeRef
+import org.jetbrains.kotlin.fir.types.impl.ConeClassLikeTypeImpl
+import org.jetbrains.kotlin.name.ClassId
+import org.jetbrains.kotlin.name.FqName
+
+/**
+ * This class tells the FIR that all @Sparkify annotated data classes
+ * get [scala.Product] as their super type.
+ */
+class DataClassSparkifySuperTypeGenerator(
+    session: FirSession,
+    private val sparkifyAnnotationFqNames: List<String>,
+    private val productFqNames: List<String>,
+) : FirSupertypeGenerationExtension(session) {
+
+    companion object {
+        fun builder(sparkifyAnnotationFqNames: List<String>, productFqNames: List<String>): (FirSession) -> FirSupertypeGenerationExtension = {
+            DataClassSparkifySuperTypeGenerator(
+                session = it,
+                sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+                productFqNames = productFqNames,
+            )
+        }
+    }
+
+    context(TypeResolveServiceContainer)
+    override fun computeAdditionalSupertypes(
+        classLikeDeclaration: FirClassLikeDeclaration,
+        resolvedSupertypes: List<FirResolvedTypeRef>
+    ): List<FirResolvedTypeRef> = listOf(
+        buildResolvedTypeRef {
+            val scalaProduct = productFqNames.first().let {
+                ClassId.topLevel(FqName(it))
+            }
+            type = ConeClassLikeTypeImpl(
+                lookupTag = ConeClassLikeLookupTagImpl(scalaProduct),
+                typeArguments = emptyArray(),
+                isNullable = false,
+            )
+        }
+
+    )
+
+    override fun needTransformSupertypes(declaration: FirClassLikeDeclaration): Boolean =
+        declaration.symbol.isData &&
+                declaration.annotations.any {
+                    "Sparkify" in it.render()
+                }
+}
\ No newline at end of file
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
similarity index 99%
rename from compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
rename to compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
index 30df9799..0438b42b 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassPropertyAnnotationGenerator.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
@@ -46,7 +46,7 @@ import org.jetbrains.kotlin.name.FqName
 import org.jetbrains.kotlin.name.Name
 import org.jetbrains.kotlin.name.SpecialNames
 
-class DataClassPropertyAnnotationGenerator(
+class DataClassSparkifyGenerator(
     private val pluginContext: IrPluginContext,
     private val sparkifyAnnotationFqNames: List<String>,
     private val columnNameAnnotationFqNames: List<String>,
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
index a22cc6f8..d17da71f 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/SparkifyIrGenerationExtension.kt
@@ -4,7 +4,6 @@ import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
 import org.jetbrains.kotlin.backend.common.extensions.IrPluginContext
 import org.jetbrains.kotlin.ir.declarations.IrModuleFragment
 import org.jetbrains.kotlin.ir.visitors.acceptChildrenVoid
-import org.jetbrains.kotlinx.spark.api.compilerPlugin.ir.DataClassPropertyAnnotationGenerator
 
 class SparkifyIrGenerationExtension(
     private val sparkifyAnnotationFqNames: List<String>,
@@ -13,7 +12,7 @@ class SparkifyIrGenerationExtension(
 ) : IrGenerationExtension {
     override fun generate(moduleFragment: IrModuleFragment, pluginContext: IrPluginContext) {
         val visitors = listOf(
-            DataClassPropertyAnnotationGenerator(
+            DataClassSparkifyGenerator(
                 pluginContext = pluginContext,
                 sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
                 columnNameAnnotationFqNames = columnNameAnnotationFqNames,
diff --git a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java
new file mode 100644
index 00000000..566db49b
--- /dev/null
+++ b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java
@@ -0,0 +1,28 @@
+
+
+package org.jetbrains.kotlinx.spark.api.compilerPlugin.runners;
+
+import com.intellij.testFramework.TestDataPath;
+import org.jetbrains.kotlin.test.util.KtTestUtil;
+import org.jetbrains.kotlin.test.TestMetadata;
+import org.junit.jupiter.api.Test;
+
+import java.io.File;
+import java.util.regex.Pattern;
+
+/** This class is generated by {@link org.jetbrains.kotlinx.spark.api.compilerPlugin.GenerateTestsKt}. DO NOT MODIFY MANUALLY */
+@SuppressWarnings("all")
+@TestMetadata("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/diagnostics")
+@TestDataPath("$PROJECT_ROOT")
+public class DiagnosticTestGenerated extends AbstractDiagnosticTest {
+  @Test
+  public void testAllFilesPresentInDiagnostics() {
+    KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/diagnostics"), Pattern.compile("^(.+)\\.kt$"), null, true);
+  }
+
+  @Test
+  @TestMetadata("dataClassTest.kt")
+  public void testDataClassTest() {
+    runTest("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.kt");
+  }
+}
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
index a85d0a1b..35eda3b4 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
@@ -3,6 +3,7 @@ package org.jetbrains.kotlinx.spark.api.compilerPlugin
 import org.jetbrains.kotlin.generators.generateTestGroupSuiteWithJUnit5
 import org.jetbrains.kotlinx.spark.api.Artifacts
 import org.jetbrains.kotlinx.spark.api.compilerPlugin.runners.AbstractBoxTest
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.runners.AbstractDiagnosticTest
 
 fun main() {
     generateTestGroupSuiteWithJUnit5 {
@@ -10,9 +11,9 @@ fun main() {
             testDataRoot = "${Artifacts.projectRoot}/${Artifacts.compilerPluginArtifactId}/src/test/resources/testData",
             testsRoot = "${Artifacts.projectRoot}/${Artifacts.compilerPluginArtifactId}/src/test-gen/kotlin",
         ) {
-//            testClass<AbstractDiagnosticTest> {
-//                model("diagnostics")
-//            }
+            testClass<AbstractDiagnosticTest> {
+                model("diagnostics")
+            }
 
             testClass<AbstractBoxTest> {
                 model("box")
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
index b7942a4e..a48fa81b 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/services/ExtensionRegistrarConfigurator.kt
@@ -3,9 +3,11 @@ package org.jetbrains.kotlinx.spark.api.compilerPlugin.services
 import org.jetbrains.kotlin.backend.common.extensions.IrGenerationExtension
 import org.jetbrains.kotlin.compiler.plugin.CompilerPluginRegistrar
 import org.jetbrains.kotlin.config.CompilerConfiguration
+import org.jetbrains.kotlin.fir.extensions.FirExtensionRegistrarAdapter
 import org.jetbrains.kotlin.test.model.TestModule
 import org.jetbrains.kotlin.test.services.EnvironmentConfigurator
 import org.jetbrains.kotlin.test.services.TestServices
+import org.jetbrains.kotlinx.spark.api.compilerPlugin.SparkifyFirPluginRegistrar
 import org.jetbrains.kotlinx.spark.api.compilerPlugin.ir.SparkifyIrGenerationExtension
 
 class ExtensionRegistrarConfigurator(testServices: TestServices) : EnvironmentConfigurator(testServices) {
@@ -16,6 +18,16 @@ class ExtensionRegistrarConfigurator(testServices: TestServices) : EnvironmentCo
         val sparkifyAnnotationFqNames = listOf("foo.bar.Sparkify")
         val columnNameAnnotationFqNames = listOf("foo.bar.ColumnName")
         val productFqNames = listOf("foo.bar.Product")
+
+        // Front end (FIR)
+//        FirExtensionRegistrarAdapter.registerExtension(
+//            SparkifyFirPluginRegistrar(
+//                sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
+//                productFqNames = productFqNames,
+//            )
+//        )
+
+        // Intermediate Representation IR
         IrGenerationExtension.registerExtension(
             SparkifyIrGenerationExtension(
                 sparkifyAnnotationFqNames = sparkifyAnnotationFqNames,
diff --git a/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.kt b/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.kt
new file mode 100644
index 00000000..4b86f4c1
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.kt
@@ -0,0 +1,28 @@
+package foo.bar
+
+annotation class Sparkify
+annotation class ColumnName(val name: String)
+
+// Fake Equals
+interface Equals {
+    fun canEqual(that: Any?): Boolean
+}
+
+// Fake Product
+interface Product: Equals {
+    fun productElement(n: Int): Any
+    fun productArity(): Int
+}
+
+fun test() {
+    val user = User()
+    user.productArity() // should not be an error
+}
+
+@Sparkify
+data <!ABSTRACT_MEMBER_NOT_IMPLEMENTED!>class User<!>(
+    val name: String = "John Doe",
+    val age: Int = 25,
+    @ColumnName("a") val test: Double = 1.0,
+    @get:ColumnName("b") val test2: Double = 2.0,
+)

From 770698beff034f4d7c23898cc6aee1b19e3a3929 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 24 Mar 2024 16:23:41 +0100
Subject: [PATCH 22/38] disabled RddTest "Work with any number" for now: Caused
 by: java.lang.NoSuchMethodException:
 org.jetbrains.kotlinx.spark.api.RddTest$1$1$1$2$2$1.$deserializeLambda$(java.lang.invoke.SerializedLambda)

---
 .../src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
index e3a9b87e..efce7810 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
@@ -74,7 +74,7 @@ class RddTest : Serializable, ShouldSpec({
                     rdd.min() shouldBe 1.0
                 }
 
-                context("Work with any number") {
+                xcontext("Work with any number") {
 
                     should("Work with Bytes") {
                         val data = listOf(1, 1, 2, 2, 2, 3).map(Int::toByte)

From 24952b7d6b85bed10baa7a58d5480d4b921f9fff Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 25 Mar 2024 12:36:46 +0100
Subject: [PATCH 23/38] added publishToMavenLocal for the plugins in gh actions
 build.yml

---
 .github/workflows/build.yml | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index c585a26f..3b6029dc 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -36,6 +36,13 @@ jobs:
           restore-keys: |
             ${{ runner.os }}-gradle-
 
+      - name: Publish plugins to maven local
+        run: >
+          ./gradlew
+          clean 
+          compiler-plugin:publishToMavenLocal
+          gradle-plugin:publishToMavenLocal
+
       - name: Build with Gradle
         uses: gradle/gradle-build-action@v2
         with:

From 6b63c96050d8437f7e4c2ed3e0ef307bc98834c4 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 25 Mar 2024 21:02:07 +0100
Subject: [PATCH 24/38] editing build so that a) it can build gradle-plugin and
 compiler-plugin with bootstrap jars without mavenLocal. b) bootstrap jars are
 updated before the actual build

---
 .github/workflows/build.yml                   |   5 ++--
 build.gradle.kts                              |  14 +++++++--
 buildSrc/src/main/kotlin/Helpers.kt           |   1 +
 compiler-plugin/build.gradle.kts              |  23 +++++++++++++-
 .../ir/DataClassSparkifyGenerator.kt          |   1 +
 examples/build.gradle.kts                     |  16 +++++-----
 gradle-plugin/build.gradle.kts                |  28 ++++++++++++++----
 gradle/bootstraps/compiler-plugin.jar         | Bin 0 -> 46952 bytes
 gradle/bootstraps/gradle-plugin.jar           | Bin 0 -> 9402 bytes
 jupyter/build.gradle.kts                      |   3 +-
 10 files changed, 68 insertions(+), 23 deletions(-)
 create mode 100644 gradle/bootstraps/compiler-plugin.jar
 create mode 100644 gradle/bootstraps/gradle-plugin.jar

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 80cf9542..11cb8db0 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -36,11 +36,10 @@ jobs:
           restore-keys: |
             ${{ runner.os }}-gradle-
 
-      - name: Publish plugins to maven local
+      - name: Build the plugins first
         run: >
           ./gradlew
-          compiler-plugin:publishToMavenLocal
-          gradle-plugin:publishToMavenLocal
+          updateBootstrapVersion
 
       - name: Build with Gradle
         uses: gradle/gradle-build-action@v2
diff --git a/build.gradle.kts b/build.gradle.kts
index feab33b2..57a5e14b 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -12,6 +12,10 @@ buildscript {
     dependencies {
         classpath(jcp)
         classpath(mavenPublish)
+
+        // Allows the project to use the gradle plugin without mavenLocal
+        // Kept up-to-date by :gradle-plugin:updateBootstrapVersion
+        classpath(files("${project.rootDir.absolutePath}/gradle/bootstraps/gradle-plugin.jar"))
     }
 }
 
@@ -21,9 +25,6 @@ plugins {
     idea
     kotlin version Versions.kotlin apply false
     buildconfig version Versions.buildconfig apply false
-
-    // Needs to be installed in the local maven repository
-    kotlinSparkApi version Versions.kotlinSparkApiGradlePlugin apply false
 }
 
 group = Versions.groupID
@@ -125,6 +126,13 @@ allprojects {
 }
 
 subprojects {
+    // Adding the bootstraps directory to the repositories of the subprojects, so that
+    // the bootstrap version of compiler-plugin.jar can be found and used by the gradle-plugin
+    // without mavenLocal
+    repositories.flatDir {
+        dirs("${project.rootDir.absolutePath}/gradle/bootstraps")
+    }
+
     afterEvaluate {
         extensions.findByType<BuildConfigExtension>()?.apply {
             val projectVersion = Versions.project
diff --git a/buildSrc/src/main/kotlin/Helpers.kt b/buildSrc/src/main/kotlin/Helpers.kt
index cc313776..6c903b17 100644
--- a/buildSrc/src/main/kotlin/Helpers.kt
+++ b/buildSrc/src/main/kotlin/Helpers.kt
@@ -3,6 +3,7 @@ import org.gradle.api.artifacts.ProjectDependency
 import org.gradle.api.artifacts.dsl.DependencyHandler
 
 interface Dsl<T> {
+    @Suppress("UNCHECKED_CAST")
     operator fun invoke(block: T.() -> Unit) = block(this as T)
 }
 
diff --git a/compiler-plugin/build.gradle.kts b/compiler-plugin/build.gradle.kts
index 629b74ad..02aac811 100644
--- a/compiler-plugin/build.gradle.kts
+++ b/compiler-plugin/build.gradle.kts
@@ -102,4 +102,25 @@ fun Test.setLibraryProperty(propName: String, jarName: String) {
         ?.absolutePath
         ?: return
     systemProperty(propName, path)
-}
\ No newline at end of file
+}
+
+/**
+ * Copies the built jar file to the gradle/bootstraps directory.
+ * This allows the project to use the compiler plugin without mavenLocal.
+ */
+val updateBootstrapVersion by tasks.creating(Copy::class) {
+    group = "build"
+    dependsOn(tasks.jar)
+
+    val jarFile = tasks.jar.get().outputs.files.files.single {
+        it.extension == "jar" && it.name.startsWith("compiler-plugin")
+    }
+    from(jarFile)
+    rename { "compiler-plugin.jar" }
+    into(project.rootDir.resolve("gradle/bootstraps"))
+    outputs.upToDateWhen { false }
+}
+
+tasks.build {
+    finalizedBy(updateBootstrapVersion)
+}
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
index 0438b42b..7d3992dc 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
@@ -96,6 +96,7 @@ class DataClassSparkifyGenerator(
      * )
      * ```
      */
+    @OptIn(UnsafeDuringIrConstructionAPI::class)
     override fun visitProperty(declaration: IrProperty) {
         val origin = declaration.parent as? IrClass ?: return super.visitProperty(declaration)
         if (sparkifyAnnotationFqNames.none { origin.hasAnnotation(FqName(it)) })
diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts
index 7f371ecc..4a0a2179 100644
--- a/examples/build.gradle.kts
+++ b/examples/build.gradle.kts
@@ -1,17 +1,17 @@
 import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
 
 plugins {
-    // Needs to be installed in the local maven repository
+    // Needs to be installed in the local maven repository or have the bootstrap jar on the classpath
     id("org.jetbrains.kotlinx.spark.api")
-    kotlin
+    kotlin("jvm")
 }
 
-//kotlinSparkApi {
-//    enabled = true
-//    sparkifyAnnotationFqNames = listOf(
-//        "org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify",
-//    )
-//}
+kotlinSparkApi {
+    enabled = true
+    sparkifyAnnotationFqNames = listOf(
+        "org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify",
+    )
+}
 
 group = Versions.groupID
 version = Versions.project
diff --git a/gradle-plugin/build.gradle.kts b/gradle-plugin/build.gradle.kts
index 9facda3f..fb77282e 100644
--- a/gradle-plugin/build.gradle.kts
+++ b/gradle-plugin/build.gradle.kts
@@ -49,13 +49,29 @@ dependencies {
     }
 }
 
-//tasks.withType<ShadowJar> {
-//    isZip64 = true
-//    archiveClassifier = ""
-//}
-
 kotlin {
     jvmToolchain {
         languageVersion = JavaLanguageVersion.of(Versions.jvmTarget)
     }
-}
\ No newline at end of file
+}
+
+/**
+ * Copies the built jar file to the gradle/bootstraps directory.
+ * This allows the project to use the gradle plugin without mavenLocal.
+ */
+val updateBootstrapVersion by tasks.creating(Copy::class) {
+    group = "build"
+    dependsOn(tasks.jar)
+
+    val jarFile = tasks.jar.get().outputs.files.files.single {
+        it.extension == "jar" && it.name.startsWith("gradle-plugin")
+    }
+    from(jarFile)
+    rename { "gradle-plugin.jar" }
+    into(project.rootDir.resolve("gradle/bootstraps"))
+    outputs.upToDateWhen { false }
+}
+
+tasks.build {
+    finalizedBy(updateBootstrapVersion)
+}
diff --git a/gradle/bootstraps/compiler-plugin.jar b/gradle/bootstraps/compiler-plugin.jar
new file mode 100644
index 0000000000000000000000000000000000000000..9274a64da270541157b6790db7a27f5fc4deb190
GIT binary patch
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diff --git a/gradle/bootstraps/gradle-plugin.jar b/gradle/bootstraps/gradle-plugin.jar
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/jupyter/build.gradle.kts b/jupyter/build.gradle.kts
index 57adf168..fb5e90de 100644
--- a/jupyter/build.gradle.kts
+++ b/jupyter/build.gradle.kts
@@ -1,10 +1,9 @@
-@file:Suppress("UnstableApiUsage", "NOTHING_TO_INLINE")
+@file:Suppress("UnstableApiUsage")
 
 import com.igormaznitsa.jcp.gradle.JcpTask
 import com.vanniktech.maven.publish.JavadocJar.Dokka
 import com.vanniktech.maven.publish.KotlinJvm
 import org.jetbrains.dokka.gradle.AbstractDokkaLeafTask
-import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
 
 plugins {
     scala

From 4e5438b242e7638a6752b4000cd52b8c869f2b0f Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 25 Mar 2024 21:13:57 +0100
Subject: [PATCH 25/38] fixing compiler-plugin tests

---
 .../runners/DiagnosticTestGenerated.java      |  28 -----
 .../spark/api/compilerPlugin/GenerateTests.kt |   6 +-
 .../box/dataClassInFunctionTest.fir.ir.txt    | 107 +++++++++++++++++-
 .../box/dataClassInFunctionTest.fir.txt       |  10 ++
 .../testData/box/dataClassInFunctionTest.kt   |  11 ++
 .../testData/box/dataClassTest.fir.ir.txt     | 107 +++++++++++++++++-
 .../testData/box/dataClassTest.fir.txt        |  10 ++
 .../resources/testData/box/dataClassTest.kt   |  11 ++
 .../diagnostics/dataClassTest.fir.txt         |  66 +++++++++++
 9 files changed, 313 insertions(+), 43 deletions(-)
 delete mode 100644 compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java
 create mode 100644 compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.fir.txt

diff --git a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java b/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java
deleted file mode 100644
index 566db49b..00000000
--- a/compiler-plugin/src/test-gen/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/runners/DiagnosticTestGenerated.java
+++ /dev/null
@@ -1,28 +0,0 @@
-
-
-package org.jetbrains.kotlinx.spark.api.compilerPlugin.runners;
-
-import com.intellij.testFramework.TestDataPath;
-import org.jetbrains.kotlin.test.util.KtTestUtil;
-import org.jetbrains.kotlin.test.TestMetadata;
-import org.junit.jupiter.api.Test;
-
-import java.io.File;
-import java.util.regex.Pattern;
-
-/** This class is generated by {@link org.jetbrains.kotlinx.spark.api.compilerPlugin.GenerateTestsKt}. DO NOT MODIFY MANUALLY */
-@SuppressWarnings("all")
-@TestMetadata("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/diagnostics")
-@TestDataPath("$PROJECT_ROOT")
-public class DiagnosticTestGenerated extends AbstractDiagnosticTest {
-  @Test
-  public void testAllFilesPresentInDiagnostics() {
-    KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/diagnostics"), Pattern.compile("^(.+)\\.kt$"), null, true);
-  }
-
-  @Test
-  @TestMetadata("dataClassTest.kt")
-  public void testDataClassTest() {
-    runTest("/mnt/data/Projects/kotlin-spark-api/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.kt");
-  }
-}
diff --git a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
index 35eda3b4..fb0fde9a 100644
--- a/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
+++ b/compiler-plugin/src/test/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/GenerateTests.kt
@@ -11,9 +11,9 @@ fun main() {
             testDataRoot = "${Artifacts.projectRoot}/${Artifacts.compilerPluginArtifactId}/src/test/resources/testData",
             testsRoot = "${Artifacts.projectRoot}/${Artifacts.compilerPluginArtifactId}/src/test-gen/kotlin",
         ) {
-            testClass<AbstractDiagnosticTest> {
-                model("diagnostics")
-            }
+//            testClass<AbstractDiagnosticTest> {
+//                model("diagnostics")
+//            }
 
             testClass<AbstractBoxTest> {
                 model("box")
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
index ec43187d..c8c2aa17 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
@@ -49,9 +49,52 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
       overridden:
         public open fun toString (): kotlin.String declared in kotlin.Annotation
       $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+  CLASS INTERFACE name:Equals modality:ABSTRACT visibility:public superTypes:[kotlin.Any]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Equals
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN name:canEqual visibility:public modality:ABSTRACT <> ($this:foo.bar.Equals, that:kotlin.Any?) returnType:kotlin.Boolean
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Equals
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+  CLASS INTERFACE name:Product modality:ABSTRACT visibility:public superTypes:[foo.bar.Equals]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Product
+    FUN FAKE_OVERRIDE name:canEqual visibility:public modality:ABSTRACT <> ($this:foo.bar.Equals, that:kotlin.Any?) returnType:kotlin.Boolean [fake_override]
+      overridden:
+        public abstract fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Equals
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN name:productArity visibility:public modality:ABSTRACT <> ($this:foo.bar.Product) returnType:kotlin.Int
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Product
+    FUN name:productElement visibility:public modality:ABSTRACT <> ($this:foo.bar.Product, n:kotlin.Int) returnType:kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Product
+      VALUE_PARAMETER name:n index:0 type:kotlin.Int
   FUN name:box visibility:public modality:FINAL <> () returnType:kotlin.String
     BLOCK_BODY
-      CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]
+      CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]
         annotations:
           Sparkify
         $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.box.User
@@ -125,7 +168,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
               CONST Double type=kotlin.Double value=2.0
           BLOCK_BODY
             DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
-            INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]'
+            INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]'
         FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.String [operator]
           $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
           BLOCK_BODY
@@ -300,6 +343,58 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
                 GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
                   receiver: GET_VAR '<this>: foo.bar.box.User declared in foo.bar.box.User.toString' type=foo.bar.box.User origin=null
                 CONST String type=kotlin.String value=")"
+        FUN name:canEqual visibility:public modality:OPEN <> ($this:foo.bar.box.User, that:kotlin.Any?) returnType:kotlin.Boolean
+          overridden:
+            public abstract fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+          $this: VALUE_PARAMETER name:$this type:foo.bar.box.User
+          VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public open fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.box.User'
+              TYPE_OP type=kotlin.Boolean origin=INSTANCEOF typeOperand=foo.bar.box.User
+                GET_VAR 'that: kotlin.Any? declared in foo.bar.box.User.canEqual' type=kotlin.Any? origin=null
+        FUN name:productArity visibility:public modality:OPEN <> ($this:foo.bar.box.User) returnType:kotlin.Int
+          overridden:
+            public abstract fun productArity (): kotlin.Int declared in foo.bar.Product
+          $this: VALUE_PARAMETER name:$this type:foo.bar.box.User
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public open fun productArity (): kotlin.Int declared in foo.bar.box.User'
+              CONST Int type=kotlin.Int value=4
+        FUN name:productElement visibility:public modality:OPEN <> ($this:foo.bar.box.User, n:kotlin.Int) returnType:kotlin.Any?
+          overridden:
+            public abstract fun productElement (n: kotlin.Int): kotlin.Any declared in foo.bar.Product
+          $this: VALUE_PARAMETER name:$this type:foo.bar.box.User
+          VALUE_PARAMETER name:n index:0 type:kotlin.Int
+          BLOCK_BODY
+            RETURN type=kotlin.Nothing from='public open fun productElement (n: kotlin.Int): kotlin.Any? declared in foo.bar.box.User'
+              WHEN type=kotlin.Any? origin=IF
+                BRANCH
+                  if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                    arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.box.User.productElement' type=kotlin.Int origin=null
+                    arg1: CONST Int type=kotlin.Int value=0
+                  then: CALL 'public final fun <get-name> (): kotlin.String declared in foo.bar.box.User' type=kotlin.String origin=GET_PROPERTY
+                    $this: GET_VAR '$this: foo.bar.box.User declared in foo.bar.box.User.productElement' type=foo.bar.box.User origin=null
+                BRANCH
+                  if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                    arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.box.User.productElement' type=kotlin.Int origin=null
+                    arg1: CONST Int type=kotlin.Int value=1
+                  then: CALL 'public final fun <get-age> (): kotlin.Int declared in foo.bar.box.User' type=kotlin.Int origin=GET_PROPERTY
+                    $this: GET_VAR '$this: foo.bar.box.User declared in foo.bar.box.User.productElement' type=foo.bar.box.User origin=null
+                BRANCH
+                  if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                    arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.box.User.productElement' type=kotlin.Int origin=null
+                    arg1: CONST Int type=kotlin.Int value=2
+                  then: CALL 'public final fun <get-test> (): kotlin.Double declared in foo.bar.box.User' type=kotlin.Double origin=GET_PROPERTY
+                    $this: GET_VAR '$this: foo.bar.box.User declared in foo.bar.box.User.productElement' type=foo.bar.box.User origin=null
+                BRANCH
+                  if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                    arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.box.User.productElement' type=kotlin.Int origin=null
+                    arg1: CONST Int type=kotlin.Int value=3
+                  then: CALL 'public final fun <get-test2> (): kotlin.Double declared in foo.bar.box.User' type=kotlin.Double origin=GET_PROPERTY
+                    $this: GET_VAR '$this: foo.bar.box.User declared in foo.bar.box.User.productElement' type=foo.bar.box.User origin=null
+                BRANCH
+                  if: CONST Boolean type=kotlin.Boolean value=true
+                  then: THROW type=kotlin.Nothing
+                    CONSTRUCTOR_CALL 'public constructor <init> () declared in java.lang.IndexOutOfBoundsException' type=java.lang.IndexOutOfBoundsException origin=null
       VAR name:user type:foo.bar.box.User [val]
         CONSTRUCTOR_CALL 'public constructor <init> (name: kotlin.String, age: kotlin.Int, test: kotlin.Double, test2: kotlin.Double) declared in foo.bar.box.User' type=foo.bar.box.User origin=null
       VAR name:name type:@[FlexibleNullability] kotlin.Any? [val]
@@ -307,7 +402,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="name"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
@@ -315,7 +410,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="age"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
@@ -323,7 +418,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="a"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
@@ -331,7 +426,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="b"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       WHEN type=kotlin.Unit origin=IF
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt
index fdd20f3a..44e5a93f 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.txt
@@ -15,6 +15,16 @@ FILE: dataClassInFunctionTest.kt
         public final val name: R|kotlin/String| = R|<local>/name|
             public get(): R|kotlin/String|
 
+    }
+    public abstract interface Equals : R|kotlin/Any| {
+        public abstract fun canEqual(that: R|kotlin/Any?|): R|kotlin/Boolean|
+
+    }
+    public abstract interface Product : R|foo/bar/Equals| {
+        public abstract fun productElement(n: R|kotlin/Int|): R|kotlin/Any|
+
+        public abstract fun productArity(): R|kotlin/Int|
+
     }
     public final fun box(): R|kotlin/String| {
         @R|foo/bar/Sparkify|() local final data class User : R|kotlin/Any| {
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt
index 293595aa..bb5bd34d 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.kt
@@ -3,6 +3,17 @@ package foo.bar
 annotation class Sparkify
 annotation class ColumnName(val name: String)
 
+// Fake Equals
+interface Equals {
+    fun canEqual(that: Any?): Boolean
+}
+
+// Fake Product
+interface Product: Equals {
+    fun productElement(n: Int): Any
+    fun productArity(): Int
+}
+
 fun box(): String {
 
     @Sparkify
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
index 68834cea..842274d2 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
@@ -189,7 +189,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
             GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
               receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.toString' type=foo.bar.NormalUser origin=null
             CONST String type=kotlin.String value=")"
-  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]
+  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]
     annotations:
       Sparkify
     $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.User
@@ -263,7 +263,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           CONST Double type=kotlin.Double value=2.0
       BLOCK_BODY
         DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
-        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]'
     FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.String [operator]
       $this: VALUE_PARAMETER name:<this> type:foo.bar.User
       BLOCK_BODY
@@ -438,6 +438,101 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
             GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:test2 type:kotlin.Double visibility:private [final]' type=kotlin.Double origin=null
               receiver: GET_VAR '<this>: foo.bar.User declared in foo.bar.User.toString' type=foo.bar.User origin=null
             CONST String type=kotlin.String value=")"
+    FUN name:canEqual visibility:public modality:OPEN <> ($this:foo.bar.User, that:kotlin.Any?) returnType:kotlin.Boolean
+      overridden:
+        public abstract fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:$this type:foo.bar.User
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.User'
+          TYPE_OP type=kotlin.Boolean origin=INSTANCEOF typeOperand=foo.bar.User
+            GET_VAR 'that: kotlin.Any? declared in foo.bar.User.canEqual' type=kotlin.Any? origin=null
+    FUN name:productArity visibility:public modality:OPEN <> ($this:foo.bar.User) returnType:kotlin.Int
+      overridden:
+        public abstract fun productArity (): kotlin.Int declared in foo.bar.Product
+      $this: VALUE_PARAMETER name:$this type:foo.bar.User
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun productArity (): kotlin.Int declared in foo.bar.User'
+          CONST Int type=kotlin.Int value=4
+    FUN name:productElement visibility:public modality:OPEN <> ($this:foo.bar.User, n:kotlin.Int) returnType:kotlin.Any?
+      overridden:
+        public abstract fun productElement (n: kotlin.Int): kotlin.Any declared in foo.bar.Product
+      $this: VALUE_PARAMETER name:$this type:foo.bar.User
+      VALUE_PARAMETER name:n index:0 type:kotlin.Int
+      BLOCK_BODY
+        RETURN type=kotlin.Nothing from='public open fun productElement (n: kotlin.Int): kotlin.Any? declared in foo.bar.User'
+          WHEN type=kotlin.Any? origin=IF
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=0
+              then: CALL 'public final fun <get-name> (): kotlin.String declared in foo.bar.User' type=kotlin.String origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=1
+              then: CALL 'public final fun <get-age> (): kotlin.Int declared in foo.bar.User' type=kotlin.Int origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=2
+              then: CALL 'public final fun <get-test> (): kotlin.Double declared in foo.bar.User' type=kotlin.Double origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CALL 'public final fun EQEQ (arg0: kotlin.Any?, arg1: kotlin.Any?): kotlin.Boolean declared in kotlin.internal.ir' type=kotlin.Boolean origin=EQEQ
+                arg0: GET_VAR 'n: kotlin.Int declared in foo.bar.User.productElement' type=kotlin.Int origin=null
+                arg1: CONST Int type=kotlin.Int value=3
+              then: CALL 'public final fun <get-test2> (): kotlin.Double declared in foo.bar.User' type=kotlin.Double origin=GET_PROPERTY
+                $this: GET_VAR '$this: foo.bar.User declared in foo.bar.User.productElement' type=foo.bar.User origin=null
+            BRANCH
+              if: CONST Boolean type=kotlin.Boolean value=true
+              then: THROW type=kotlin.Nothing
+                CONSTRUCTOR_CALL 'public constructor <init> () declared in java.lang.IndexOutOfBoundsException' type=java.lang.IndexOutOfBoundsException origin=null
+  CLASS INTERFACE name:Equals modality:ABSTRACT visibility:public superTypes:[kotlin.Any]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Equals
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN name:canEqual visibility:public modality:ABSTRACT <> ($this:foo.bar.Equals, that:kotlin.Any?) returnType:kotlin.Boolean
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Equals
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+  CLASS INTERFACE name:Product modality:ABSTRACT visibility:public superTypes:[foo.bar.Equals]
+    $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.Product
+    FUN FAKE_OVERRIDE name:canEqual visibility:public modality:ABSTRACT <> ($this:foo.bar.Equals, that:kotlin.Any?) returnType:kotlin.Boolean [fake_override]
+      overridden:
+        public abstract fun canEqual (that: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Equals
+      VALUE_PARAMETER name:that index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:equals visibility:public modality:OPEN <> ($this:kotlin.Any, other:kotlin.Any?) returnType:kotlin.Boolean [fake_override,operator]
+      overridden:
+        public open fun equals (other: kotlin.Any?): kotlin.Boolean declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+      VALUE_PARAMETER name:other index:0 type:kotlin.Any?
+    FUN FAKE_OVERRIDE name:hashCode visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.Int [fake_override]
+      overridden:
+        public open fun hashCode (): kotlin.Int declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN FAKE_OVERRIDE name:toString visibility:public modality:OPEN <> ($this:kotlin.Any) returnType:kotlin.String [fake_override]
+      overridden:
+        public open fun toString (): kotlin.String declared in foo.bar.Equals
+      $this: VALUE_PARAMETER name:<this> type:kotlin.Any
+    FUN name:productArity visibility:public modality:ABSTRACT <> ($this:foo.bar.Product) returnType:kotlin.Int
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Product
+    FUN name:productElement visibility:public modality:ABSTRACT <> ($this:foo.bar.Product, n:kotlin.Int) returnType:kotlin.Any
+      $this: VALUE_PARAMETER name:<this> type:foo.bar.Product
+      VALUE_PARAMETER name:n index:0 type:kotlin.Int
   FUN name:box visibility:public modality:FINAL <> () returnType:kotlin.String
     BLOCK_BODY
       VAR name:user type:foo.bar.User [val]
@@ -447,7 +542,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="name"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
@@ -455,7 +550,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="age"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
@@ -463,7 +558,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="a"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
@@ -471,7 +566,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="b"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       WHEN type=kotlin.Unit origin=IF
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt
index abd7219f..7a880636 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.txt
@@ -15,6 +15,16 @@ FILE: dataClassTest.kt
         public final val name: R|kotlin/String| = R|<local>/name|
             public get(): R|kotlin/String|
 
+    }
+    public abstract interface Equals : R|kotlin/Any| {
+        public abstract fun canEqual(that: R|kotlin/Any?|): R|kotlin/Boolean|
+
+    }
+    public abstract interface Product : R|foo/bar/Equals| {
+        public abstract fun productElement(n: R|kotlin/Int|): R|kotlin/Any|
+
+        public abstract fun productArity(): R|kotlin/Int|
+
     }
     public final fun box(): R|kotlin/String| {
         lval user: R|foo/bar/User| = R|foo/bar/User.User|()
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt b/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt
index 25cd0988..2fa3973a 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassTest.kt
@@ -3,6 +3,17 @@ package foo.bar
 annotation class Sparkify
 annotation class ColumnName(val name: String)
 
+// Fake Equals
+interface Equals {
+    fun canEqual(that: Any?): Boolean
+}
+
+// Fake Product
+interface Product: Equals {
+    fun productElement(n: Int): Any
+    fun productArity(): Int
+}
+
 fun box(): String {
     val user = User()
     val name = User::class.java.getMethod("name").invoke(user)
diff --git a/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.fir.txt b/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.fir.txt
new file mode 100644
index 00000000..165e02fd
--- /dev/null
+++ b/compiler-plugin/src/test/resources/testData/diagnostics/dataClassTest.fir.txt
@@ -0,0 +1,66 @@
+FILE: dataClassTest.kt
+    package foo.bar
+
+    public final annotation class Sparkify : R|kotlin/Annotation| {
+        public constructor(): R|foo/bar/Sparkify| {
+            super<R|kotlin/Any|>()
+        }
+
+    }
+    public final annotation class ColumnName : R|kotlin/Annotation| {
+        public constructor(name: R|kotlin/String|): R|foo/bar/ColumnName| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+    }
+    public abstract interface Equals : R|kotlin/Any| {
+        public abstract fun canEqual(that: R|kotlin/Any?|): R|kotlin/Boolean|
+
+    }
+    public abstract interface Product : R|foo/bar/Equals| {
+        public abstract fun productElement(n: R|kotlin/Int|): R|kotlin/Any|
+
+        public abstract fun productArity(): R|kotlin/Int|
+
+    }
+    public final fun test(): R|kotlin/Unit| {
+        lval user: R|foo/bar/User| = R|foo/bar/User.User|()
+        R|<local>/user|.R|foo/bar/User.productArity|()
+    }
+    @R|foo/bar/Sparkify|() public final data class User : R|kotlin/Any|, R|foo/bar/Product| {
+        public constructor(name: R|kotlin/String| = String(John Doe), age: R|kotlin/Int| = Int(25), @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = Double(1.0), test2: R|kotlin/Double| = Double(2.0)): R|foo/bar/User| {
+            super<R|kotlin/Any|>()
+        }
+
+        public final val name: R|kotlin/String| = R|<local>/name|
+            public get(): R|kotlin/String|
+
+        public final val age: R|kotlin/Int| = R|<local>/age|
+            public get(): R|kotlin/Int|
+
+        public final val test: R|kotlin/Double| = R|<local>/test|
+            public get(): R|kotlin/Double|
+
+        public final val test2: R|kotlin/Double| = R|<local>/test2|
+            @PROPERTY_GETTER:R|foo/bar/ColumnName|(name = String(b)) public get(): R|kotlin/Double|
+
+        public final operator fun component1(): R|kotlin/String|
+
+        public final operator fun component2(): R|kotlin/Int|
+
+        public final operator fun component3(): R|kotlin/Double|
+
+        public final operator fun component4(): R|kotlin/Double|
+
+        public final fun copy(name: R|kotlin/String| = this@R|foo/bar/User|.R|foo/bar/User.name|, age: R|kotlin/Int| = this@R|foo/bar/User|.R|foo/bar/User.age|, @R|foo/bar/ColumnName|(name = String(a)) test: R|kotlin/Double| = this@R|foo/bar/User|.R|foo/bar/User.test|, test2: R|kotlin/Double| = this@R|foo/bar/User|.R|foo/bar/User.test2|): R|foo/bar/User|
+
+        public final fun productArity(): R|kotlin/Int|
+
+        public final fun productElement(n: R|kotlin/Int|): R|kotlin/Any?|
+
+        public final fun canEqual(that: R|kotlin/Any?|): R|kotlin/Boolean|
+
+    }

From 723152b85f0e17cef9501d87621717d06d6fecb0 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 25 Mar 2024 22:52:50 +0100
Subject: [PATCH 26/38] fixed conversions for scala 2.12

---
 .../main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt
index 9c570738..44da4147 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Conversions.kt
@@ -134,7 +134,7 @@ fun <A> Iterable<A>.asScalaSeq(): ScalaImmutableSeq<A> =
     //#if scalaCompat >= 2.13
     scala.jdk.javaapi.CollectionConverters.asScala<A>(this).toSeq()
     //#else
-    //$scala.collection.JavaConverters.iterableAsScalaIterable<A>(this).toSeq()
+    //$scala.collection.immutable.`Seq$`.`MODULE$`.apply<A>(scala.collection.JavaConverters.iterableAsScalaIterable<A>(this).toSeq()) as ScalaImmutableSeq<A>
     //#endif
 
 //#if scalaCompat >= 2.13

From 0db290a9044a51e7caa11eafc3e9907581614ad9 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 25 Mar 2024 23:05:53 +0100
Subject: [PATCH 27/38] small fixes, disabled jupyter module for now

---
 .github/workflows/build.yml           |   5 -----
 build.gradle.kts                      |  24 +++++++++++++++++-------
 gradle.properties                     |   5 +----
 gradle/bootstraps/compiler-plugin.jar | Bin 46952 -> 46937 bytes
 gradle/bootstraps/gradle-plugin.jar   | Bin 9402 -> 9403 bytes
 settings.gradle.kts                   |   4 ++--
 6 files changed, 20 insertions(+), 18 deletions(-)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 11cb8db0..c585a26f 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -36,11 +36,6 @@ jobs:
           restore-keys: |
             ${{ runner.os }}-gradle-
 
-      - name: Build the plugins first
-        run: >
-          ./gradlew
-          updateBootstrapVersion
-
       - name: Build with Gradle
         uses: gradle/gradle-build-action@v2
         with:
diff --git a/build.gradle.kts b/build.gradle.kts
index 57a5e14b..d60dcf4b 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -3,6 +3,7 @@
 import Projects.compilerPlugin
 import Projects.gradlePlugin
 import com.github.gmazzo.buildconfig.BuildConfigExtension
+import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
 
 
 buildscript {
@@ -126,14 +127,23 @@ allprojects {
 }
 
 subprojects {
-    // Adding the bootstraps directory to the repositories of the subprojects, so that
-    // the bootstrap version of compiler-plugin.jar can be found and used by the gradle-plugin
-    // without mavenLocal
-    repositories.flatDir {
-        dirs("${project.rootDir.absolutePath}/gradle/bootstraps")
-    }
-
     afterEvaluate {
+        // Adding the bootstraps directory to the repositories of the subprojects, so that
+        // the bootstrap version of compiler-plugin.jar can be found and used by the gradle-plugin
+        // without mavenLocal
+        if (plugins.hasPlugin("org.jetbrains.kotlinx.spark.api")) {
+            repositories.flatDir {
+                dirs("${project.rootDir.absolutePath}/gradle/bootstraps")
+            }
+            tasks.withType<KotlinCompile> {
+                dependsOn(":compiler-plugin:updateBootstrapVersion")
+                dependsOn(":gradle-plugin:updateBootstrapVersion")
+            }
+        }
+
+        repositories.flatDir {
+            dirs("${project.rootDir.absolutePath}/gradle/bootstraps")
+        }
         extensions.findByType<BuildConfigExtension>()?.apply {
             val projectVersion = Versions.project
             val groupId = Versions.groupID
diff --git a/gradle.properties b/gradle.properties
index 6e9174a6..84b4e85c 100644
--- a/gradle.properties
+++ b/gradle.properties
@@ -2,17 +2,14 @@ kotlin.daemon.jvmargs=-Xmx8g
 org.gradle.jvmargs=-Xmx8g -XX:MaxMetaspaceSize=1g -XX:+HeapDumpOnOutOfMemoryError -Dfile.encoding=UTF-8
 mavenCentralUsername=dummy
 mavenCentralPassword=dummy
-
 GROUP=org.jetbrains.kotlinx.spark
-
 # Controls the spark and scala version for the entire project
 # can also be defined like ./gradlew -Pspark=X.X.X -Pscala=X.X.X build
 spark=3.5.1
 scala=2.13.13
-# scala=2.12.19
+#scala=2.12.19
 skipScalaOnlyDependent=false
 sparkConnect=false
-
 org.gradle.caching=true
 org.gradle.parallel=false
 #kotlin.incremental.useClasspathSnapshot=true
diff --git a/gradle/bootstraps/compiler-plugin.jar b/gradle/bootstraps/compiler-plugin.jar
index 9274a64da270541157b6790db7a27f5fc4deb190..c5518fe5e5971e80d628ed32137b52f65e6c6a6c 100644
GIT binary patch
delta 23867
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diff --git a/gradle/bootstraps/gradle-plugin.jar b/gradle/bootstraps/gradle-plugin.jar
index a10e11bfd1be18df49d8739ac6854321cef81be1..cc2d1b368627bcbe65d46f05797d28367b47b8ec 100644
GIT binary patch
delta 1175
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delta 1167
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diff --git a/settings.gradle.kts b/settings.gradle.kts
index 98776e06..8ad32812 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -35,7 +35,7 @@ rootProject.name = "kotlin-spark-api-parent_$versions"
 include("scala-helpers")
 include("scala-tuples-in-kotlin")
 include("kotlin-spark-api")
-include("jupyter")
+//include("jupyter")
 include("examples")
 include("compiler-plugin")
 include("gradle-plugin")
@@ -46,7 +46,7 @@ project(":scala-tuples-in-kotlin").name = "scala-tuples-in-kotlin_$scalaCompat"
 
 // spark+scala dependent
 project(":kotlin-spark-api").name = "kotlin-spark-api_$versions"
-project(":jupyter").name = "jupyter_$versions"
+//project(":jupyter").name = "jupyter_$versions"
 project(":examples").name = "examples_$versions"
 
 buildCache {

From 37eec64e3358563a0d33852bc4377fe35cb09037 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Mon, 25 Mar 2024 23:20:24 +0100
Subject: [PATCH 28/38] spark 3.4/3.5 compatibility issue with ProductEncoder

---
 .../main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt   | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 62e46676..072f4a2a 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -532,7 +532,9 @@ object KotlinTypeInference : Serializable {
                 ProductEncoder<Any>(
                     /* clsTag = */ ClassTag.apply(jClass),
                     /* fields = */ params.asScalaSeq(),
+                    //#if sparkMinor >= 3.5
                     /* outerPointerGetter = */ OuterScopes.getOuterScope(jClass).toOption(),
+                    //#endif
                 )
             }
 
@@ -558,7 +560,9 @@ object KotlinTypeInference : Serializable {
                 ProductEncoder<Any>(
                     /* clsTag = */ ClassTag.apply(jClass),
                     /* fields = */ params.asScalaSeq(),
+                    //#if sparkMinor >= 3.5
                     /* outerPointerGetter = */ OuterScopes.getOuterScope(jClass).toOption(),
+                    //#endif
                 )
             }
 

From 0ab212b90231afe8f41797e6585a6ad1884a0086 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Tue, 26 Mar 2024 00:13:17 +0100
Subject: [PATCH 29/38] fixed streaming test scala 2.12

---
 .../spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt | 2 +-
 .../kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt   | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
index 23b83c41..fa3c77c5 100644
--- a/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
+++ b/gradle-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/gradlePlugin/SparkKotlinCompilerGradlePlugin.kt
@@ -19,7 +19,7 @@ class SparkKotlinCompilerGradlePlugin : KotlinCompilerPluginSupportPlugin {
             it.extensions.findByType<KotlinJvmProjectExtension>()?.apply {
                 compilerOptions {
                     // Make sure the parameters of data classes are visible to scala
-                    javaParameters.set(true)
+//                    javaParameters.set(true)
 
                     // Avoid NotSerializableException by making lambdas serializable
                     freeCompilerArgs.add("-Xlambdas=class")
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
index 86542aa8..3667fa45 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/StreamingTest.kt
@@ -219,13 +219,13 @@ private fun checkpointFile(checkpointDir: String, checkpointTime: Time): Path {
 private fun getCheckpointFiles(
     checkpointDir: String,
     fs: scala.Option<FileSystem>
-): scala.collection.immutable.Seq<Path> {
+): scala.collection.Seq<Path> {
     val klass = Class.forName("org.apache.spark.streaming.Checkpoint$")
     val moduleField = klass.getField("MODULE$").also { it.isAccessible = true }
     val module = moduleField.get(null)
     val getCheckpointFilesMethod = klass.getMethod("getCheckpointFiles", String::class.java, scala.Option::class.java)
         .also { it.isAccessible = true }
-    return getCheckpointFilesMethod.invoke(module, checkpointDir, fs) as scala.collection.immutable.Seq<Path>
+    return getCheckpointFilesMethod.invoke(module, checkpointDir, fs) as scala.collection.Seq<Path>
 }
 
 private fun createCorruptedCheckpoint(): String {

From 1c344298fa2e10b8b9a340e1304f02aaeae0ce77 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Wed, 27 Mar 2024 17:06:41 +0100
Subject: [PATCH 30/38] added checkIsSparkified warnings when building an
 encoder

---
 gradle.properties                             |   1 +
 gradle/bootstraps/compiler-plugin.jar         | Bin 46937 -> 46937 bytes
 gradle/bootstraps/gradle-plugin.jar           | Bin 9403 -> 9345 bytes
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |  65 ++++++++++++++++++
 4 files changed, 66 insertions(+)

diff --git a/gradle.properties b/gradle.properties
index 84b4e85c..f577604f 100644
--- a/gradle.properties
+++ b/gradle.properties
@@ -6,6 +6,7 @@ GROUP=org.jetbrains.kotlinx.spark
 # Controls the spark and scala version for the entire project
 # can also be defined like ./gradlew -Pspark=X.X.X -Pscala=X.X.X build
 spark=3.5.1
+#spark=3.4.2
 scala=2.13.13
 #scala=2.12.19
 skipScalaOnlyDependent=false
diff --git a/gradle/bootstraps/compiler-plugin.jar b/gradle/bootstraps/compiler-plugin.jar
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diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 072f4a2a..ec174c96 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -45,10 +45,13 @@ import org.apache.spark.sql.types.StructType
 import org.apache.spark.sql.types.UDTRegistration
 import org.apache.spark.sql.types.UserDefinedType
 import org.apache.spark.unsafe.types.CalendarInterval
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.ColumnName
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import scala.reflect.ClassTag
 import java.io.Serializable
 import kotlin.reflect.KClass
 import kotlin.reflect.KMutableProperty
+import kotlin.reflect.KProperty1
 import kotlin.reflect.KType
 import kotlin.reflect.KTypeProjection
 import kotlin.reflect.full.createType
@@ -206,6 +209,66 @@ object KotlinTypeInference : Serializable {
         return params
     }
 
+    /**
+     * Provides helpful warnings for when something goes wrong with encoding a certain data class.
+     */
+    private fun KClass<*>.checkIsSparkified(props: List<KProperty1<*, *>>, propHasColumnNameAnnotation: List<Boolean>) {
+        val isAnnotated = hasAnnotation<Sparkify>()
+
+        val mismatchedNames = buildList {
+            for ((i, prop) in props.withIndex()) {
+                if (isAnnotated && propHasColumnNameAnnotation[i]) continue
+                val name = prop.name
+                val getterMethodName = prop.getter.javaMethod!!.name
+                if (name != getterMethodName)
+                    add(name to getterMethodName)
+            }
+        }
+
+        val isPair = this == Pair::class
+        val isTriple = this == Triple::class
+
+        // can't be checked if injected by Sparkify
+        val isProduct = this.isSubclassOf(scala.Product::class)
+
+        when {
+            // happy path
+            isAnnotated && mismatchedNames.isEmpty() -> return
+
+            // not annotated but still happy as spark will like it
+            !isAnnotated && mismatchedNames.isEmpty() && isProduct -> return
+        }
+
+        val warningMessage = buildString {
+            appendLine(this@checkIsSparkified.toString() + " does not seem to be ready for Kotlin Spark:")
+            if (isAnnotated) {
+                appendLine("  - It is annotated with @Sparkify, but, the compiler plugin might not be installed or may be misfunctioning.")
+            } else {
+                appendLine("  - It is not annotated with @Sparkify and it does not have the correct structure for Spark:")
+            }
+            if (mismatchedNames.isNotEmpty()) {
+                appendLine("  - The following property names do not match their getter method names:")
+                for ((name, getter) in mismatchedNames) {
+                    appendLine("    - prop name: `$name`, getter name: `$getter`")
+                }
+                appendLine("    Spark uses the getter method names to get the column names.")
+                appendLine("    Properties must be annotated with @get:JvmName(\"<PROP_NAME>\") to generate the right getters. Else, your columns might be be named \"getXYZ\".")
+                appendLine("    @Sparkify can do this for you.")
+                appendLine("    If you agree with the getter/column names above (like if you've added custom @get:JvmName's), you can ignore this warning.")
+            }
+            if (isPair) {
+                appendLine("  - It is a Pair, which is not well supported by Spark. You can use scala.Tuple2 instead.")
+            } else if (isTriple) {
+                appendLine("  - It is a Triple, which is not well supported by Spark. You can use scala.Tuple3 instead.")
+            }
+            if (!isProduct) {
+                appendLine("  - It is not a scala.Product, which is fine for most cases, but can break compatibility with UDFs. You can let your data class implement scala.Product to fix this or let @Sparkify handle it for you.")
+            }
+        }
+
+        println(warningMessage)
+    }
+
     /**
      * Can merge two maps transitively.
      * This means that given
@@ -507,6 +570,8 @@ object KotlinTypeInference : Serializable {
                     kClass.declaredMemberProperties.find { prop -> prop.name == it.name }!!
                 }
 
+                kClass.checkIsSparkified(props, kParameters.map { it.hasAnnotation<ColumnName>() })
+
                 val params = (kParameters zip props).map { (param, prop) ->
                     // check if the type was a filled-in generic type, otherwise just use the given type
                     val paramType = typeVariables[param.type.simpleName] ?: param.type

From 68e830a01273ae211aa1a4579375c5f4fb5b38af Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Wed, 27 Mar 2024 17:28:03 +0100
Subject: [PATCH 31/38] updated compiler plugin to make @Sparkify classes
 Serializable too, plus added test to see if the plugin is enabled in the
 project

---
 .../ir/DataClassSparkifyGenerator.kt          |  14 +++---
 .../box/dataClassInFunctionTest.fir.ir.txt    |  12 ++---
 .../box/dataClassIsProductTest.fir.ir.txt     |  26 ++++++----
 .../box/dataClassIsProductTest.fir.txt        |   6 +++
 .../testData/box/dataClassIsProductTest.kt    |   4 ++
 .../testData/box/dataClassTest.fir.ir.txt     |  12 ++---
 gradle/bootstraps/compiler-plugin.jar         | Bin 46937 -> 47047 bytes
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |   6 ++-
 .../kotlinx/spark/api/CompilerPluginTest.kt   |  47 ++++++++++++++++++
 9 files changed, 98 insertions(+), 29 deletions(-)
 create mode 100644 kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/CompilerPluginTest.kt

diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
index 7d3992dc..c27050d0 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/ir/DataClassSparkifyGenerator.kt
@@ -207,18 +207,20 @@ class DataClassSparkifyGenerator(
 
         if (!declaration.isData) return super.visitClass(declaration)
 
-        // add superclass
+        // add superclasses
         val scalaProductClass = productFqNames.firstNotNullOfOrNull {
             val classId = ClassId.topLevel(FqName(it))
-//                ClassId(
-//                packageFqName = FqName("scala"),
-//                topLevelName = Name.identifier("Product"),
-//            )
             pluginContext.referenceClass(classId)
         }!!
 
         declaration.superTypes += scalaProductClass.defaultType
 
+        val serializableClass = pluginContext.referenceClass(
+            ClassId.topLevel(FqName("java.io.Serializable"))
+        )!!
+
+        declaration.superTypes += serializableClass.defaultType
+
         // finding the constructor params
         val constructorParams = declaration.primaryConstructor?.valueParameters
             ?: return super.visitClass(declaration)
@@ -349,7 +351,7 @@ class DataClassSparkifyGenerator(
                     }
 
                     val ioobClass = pluginContext.referenceClass(
-                        FqName("java.lang.IndexOutOfBoundsException").toClassId()
+                        ClassId(FqName("java.lang"), Name.identifier("IndexOutOfBoundsException"))
                     )!!
                     val ioobConstructor = ioobClass.constructors.first { it.owner.valueParameters.isEmpty() }
                     val throwCall = irThrow(
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
index c8c2aa17..edde60a0 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassInFunctionTest.fir.ir.txt
@@ -94,7 +94,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
       VALUE_PARAMETER name:n index:0 type:kotlin.Int
   FUN name:box visibility:public modality:FINAL <> () returnType:kotlin.String
     BLOCK_BODY
-      CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]
+      CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]
         annotations:
           Sparkify
         $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.box.User
@@ -168,7 +168,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
               CONST Double type=kotlin.Double value=2.0
           BLOCK_BODY
             DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
-            INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]'
+            INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]'
         FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.box.User) returnType:kotlin.String [operator]
           $this: VALUE_PARAMETER name:<this> type:foo.bar.box.User
           BLOCK_BODY
@@ -402,7 +402,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="name"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
@@ -410,7 +410,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="age"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
@@ -418,7 +418,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="a"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
@@ -426,7 +426,7 @@ FILE fqName:foo.bar fileName:/dataClassInFunctionTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.box.User> origin=GET_PROPERTY
               <T>: foo.bar.box.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.box.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:local [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.box.User>
             p0: CONST String type=kotlin.String value="b"
           p0: GET_VAR 'val user: foo.bar.box.User declared in foo.bar.box' type=foo.bar.box.User origin=null
       WHEN type=kotlin.Unit origin=IF
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt
index 7db10a08..d204965a 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.ir.txt
@@ -49,7 +49,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
       overridden:
         public open fun toString (): kotlin.String declared in kotlin.Annotation
       $this: VALUE_PARAMETER name:<this> type:kotlin.Any
-  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]
+  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]
     annotations:
       Sparkify
     $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.User
@@ -123,7 +123,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
           CONST Double type=kotlin.Double value=2.0
       BLOCK_BODY
         DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
-        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]'
     FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.String [operator]
       $this: VALUE_PARAMETER name:<this> type:foo.bar.User
       BLOCK_BODY
@@ -402,7 +402,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="name"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
@@ -410,7 +410,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="age"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
@@ -418,7 +418,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="a"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
@@ -426,7 +426,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="b"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       WHEN type=kotlin.Unit origin=IF
@@ -471,12 +471,18 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
             GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
           then: RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
             CONST String type=kotlin.String value="User is not a Product"
+      WHEN type=kotlin.Unit origin=IF
+        BRANCH
+          if: TYPE_OP type=kotlin.Boolean origin=NOT_INSTANCEOF typeOperand=java.io.Serializable
+            GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
+          then: RETURN type=kotlin.Nothing from='public final fun box (): kotlin.String declared in foo.bar'
+            CONST String type=kotlin.String value="User is not Serializable"
       VAR name:canEqual type:@[FlexibleNullability] kotlin.Any? [val]
         CALL 'public open fun invoke (p0: @[FlexibleNullability] kotlin.Any?, vararg p1: @[FlexibleNullability] kotlin.Any?): @[FlexibleNullability] kotlin.Any? declared in java.lang.reflect.Method' type=@[FlexibleNullability] kotlin.Any? origin=null
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="canEqual"
             p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] java.lang.Class<*>?>? varargElementType=@[FlexibleNullability] java.lang.Class<*>?
               CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<kotlin.Any> origin=GET_PROPERTY
@@ -499,7 +505,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="productArity"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       WHEN type=kotlin.Unit origin=IF
@@ -518,7 +524,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="productElement"
             p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] java.lang.Class<*>?>? varargElementType=@[FlexibleNullability] java.lang.Class<*>?
               CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<kotlin.Int> origin=GET_PROPERTY
@@ -545,7 +551,7 @@ FILE fqName:foo.bar fileName:/dataClassIsProductTest.kt
               $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
                 $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
                   <T>: foo.bar.User
-                  $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+                  $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
                 p0: CONST String type=kotlin.String value="productElement"
                 p1: VARARG type=@[FlexibleNullability] @[FlexibleArrayElementVariance] kotlin.Array<out @[FlexibleNullability] java.lang.Class<*>?>? varargElementType=@[FlexibleNullability] java.lang.Class<*>?
                   CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<kotlin.Int> origin=GET_PROPERTY
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt
index d3df3864..d038809c 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.fir.txt
@@ -44,6 +44,12 @@ FILE: dataClassIsProductTest.kt
             }
         }
 
+        @R|kotlin/Suppress|(names = vararg(String(USELESS_IS_CHECK))) when () {
+            (R|<local>/user| !is R|java/io/Serializable|) ->  {
+                ^box String(User is not Serializable)
+            }
+        }
+
         lval canEqual: R|kotlin/Any!| = <getClass>(Q|foo/bar/User|).R|kotlin/jvm/java|<R|foo/bar/User|>.R|SubstitutionOverride<java/lang/Class.getMethod: R|java/lang/reflect/Method!|>|(String(canEqual), vararg(<getClass>(Q|kotlin/Any|).R|kotlin/jvm/java|<R|kotlin/Any|>)).R|java/lang/reflect/Method.invoke|(R|<local>/user|, vararg(R|<local>/user|))
         when () {
             !=(R|<local>/canEqual|, Boolean(true)) ->  {
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt
index f62410e3..629af08f 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassIsProductTest.kt
@@ -28,6 +28,10 @@ fun box(): String {
     if (user !is foo.bar.Product)
         return "User is not a Product"
 
+    @Suppress("USELESS_IS_CHECK")
+    if (user !is java.io.Serializable)
+        return "User is not Serializable"
+
     val canEqual = User::class.java.getMethod("canEqual", Any::class.java).invoke(user, user)
     if (canEqual != true) {
         return "Could invoke function canEqual() from Java but was false"
diff --git a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
index 842274d2..b669ac1b 100644
--- a/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
+++ b/compiler-plugin/src/test/resources/testData/box/dataClassTest.fir.ir.txt
@@ -189,7 +189,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
             GET_FIELD 'FIELD PROPERTY_BACKING_FIELD name:age type:kotlin.Int visibility:private [final]' type=kotlin.Int origin=null
               receiver: GET_VAR '<this>: foo.bar.NormalUser declared in foo.bar.NormalUser.toString' type=foo.bar.NormalUser origin=null
             CONST String type=kotlin.String value=")"
-  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]
+  CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]
     annotations:
       Sparkify
     $this: VALUE_PARAMETER INSTANCE_RECEIVER name:<this> type:foo.bar.User
@@ -263,7 +263,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           CONST Double type=kotlin.Double value=2.0
       BLOCK_BODY
         DELEGATING_CONSTRUCTOR_CALL 'public constructor <init> () declared in kotlin.Any'
-        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]'
+        INSTANCE_INITIALIZER_CALL classDescriptor='CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]'
     FUN GENERATED_DATA_CLASS_MEMBER name:component1 visibility:public modality:FINAL <> ($this:foo.bar.User) returnType:kotlin.String [operator]
       $this: VALUE_PARAMETER name:<this> type:foo.bar.User
       BLOCK_BODY
@@ -542,7 +542,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="name"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:age type:@[FlexibleNullability] kotlin.Any? [val]
@@ -550,7 +550,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="age"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:a type:@[FlexibleNullability] kotlin.Any? [val]
@@ -558,7 +558,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="a"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       VAR name:b type:@[FlexibleNullability] kotlin.Any? [val]
@@ -566,7 +566,7 @@ FILE fqName:foo.bar fileName:/dataClassTest.kt
           $this: CALL 'public open fun getMethod (p0: @[FlexibleNullability] kotlin.String?, vararg p1: @[FlexibleNullability] java.lang.Class<*>?): @[FlexibleNullability] java.lang.reflect.Method? declared in java.lang.Class' type=@[FlexibleNullability] java.lang.reflect.Method? origin=null
             $this: CALL 'public final fun <get-java> <T> (): java.lang.Class<T of kotlin.jvm.<get-java>> declared in kotlin.jvm' type=java.lang.Class<foo.bar.User> origin=GET_PROPERTY
               <T>: foo.bar.User
-              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product]' type=kotlin.reflect.KClass<foo.bar.User>
+              $receiver: CLASS_REFERENCE 'CLASS CLASS name:User modality:FINAL visibility:public [data] superTypes:[kotlin.Any; foo.bar.Product; java.io.Serializable]' type=kotlin.reflect.KClass<foo.bar.User>
             p0: CONST String type=kotlin.String value="b"
           p0: GET_VAR 'val user: foo.bar.User declared in foo.bar.box' type=foo.bar.User origin=null
       WHEN type=kotlin.Unit origin=IF
diff --git a/gradle/bootstraps/compiler-plugin.jar b/gradle/bootstraps/compiler-plugin.jar
index 84d321b1f654fb65e81f5aafbb091ecfc17f837a..2ea26a00e4761153ad5ca395caecf07e160af1d3 100644
GIT binary patch
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diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index ec174c96..09db5076 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -230,13 +230,14 @@ object KotlinTypeInference : Serializable {
 
         // can't be checked if injected by Sparkify
         val isProduct = this.isSubclassOf(scala.Product::class)
+        val isSerializable = this.isSubclassOf(Serializable::class)
 
         when {
             // happy path
             isAnnotated && mismatchedNames.isEmpty() -> return
 
             // not annotated but still happy as spark will like it
-            !isAnnotated && mismatchedNames.isEmpty() && isProduct -> return
+            !isAnnotated && mismatchedNames.isEmpty() && isProduct && isSerializable -> return
         }
 
         val warningMessage = buildString {
@@ -264,6 +265,9 @@ object KotlinTypeInference : Serializable {
             if (!isProduct) {
                 appendLine("  - It is not a scala.Product, which is fine for most cases, but can break compatibility with UDFs. You can let your data class implement scala.Product to fix this or let @Sparkify handle it for you.")
             }
+            if (!isSerializable) {
+                appendLine("  - It is not Serializable, which is fine for most cases, but can break compatibility. You can let your data class implement java.io.Serializable to fix this or let @Sparkify handle it for you.")
+            }
         }
 
         println(warningMessage)
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/CompilerPluginTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/CompilerPluginTest.kt
new file mode 100644
index 00000000..c9f684a7
--- /dev/null
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/CompilerPluginTest.kt
@@ -0,0 +1,47 @@
+package org.jetbrains.kotlinx.spark.api
+
+import io.kotest.assertions.throwables.shouldNotThrowAny
+import io.kotest.assertions.throwables.shouldThrowAny
+import io.kotest.core.spec.style.ShouldSpec
+import io.kotest.matchers.should
+import io.kotest.matchers.shouldBe
+import io.kotest.matchers.types.beInstanceOf
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.ColumnName
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
+
+class CompilerPluginTest : ShouldSpec({
+
+    @Sparkify
+    data class User(
+        val name: String = "John Doe",
+        val age: Int = 25,
+        @ColumnName("test")
+        val isEmpty: Boolean = false,
+    )
+
+    context("Compiler Plugin") {
+        should("be enabled") {
+            val user = User()
+            shouldNotThrowAny {
+                User::class.java.getMethod("name").invoke(user) shouldBe user.name
+                User::class.java.getMethod("age").invoke(user) shouldBe user.age
+                User::class.java.getMethod("test").invoke(user) shouldBe user.isEmpty
+            }
+
+            user should beInstanceOf<User>()
+            user should beInstanceOf<scala.Product>()
+            user should beInstanceOf<java.io.Serializable>()
+
+            shouldNotThrowAny {
+                User::class.java.getMethod("canEqual", Any::class.java).invoke(user, user) shouldBe true
+                User::class.java.getMethod("productArity").invoke(user) shouldBe 3
+                User::class.java.getMethod("productElement", Int::class.java).invoke(user, 0) shouldBe user.name
+                User::class.java.getMethod("productElement", Int::class.java).invoke(user, 1) shouldBe user.age
+                User::class.java.getMethod("productElement", Int::class.java).invoke(user, 2) shouldBe user.isEmpty
+            }
+            shouldThrowAny {
+                User::class.java.getMethod("productElement", Int::class.java).invoke(user, 10)
+            }
+        }
+    }
+})
\ No newline at end of file

From 48db819bd0fedb58a95242bc4e94dbdf3b0a0932 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sat, 30 Mar 2024 14:27:10 +0100
Subject: [PATCH 32/38] added java bean class fallback support

---
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 99 ++++++++++++++++---
 1 file changed, 88 insertions(+), 11 deletions(-)

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 09db5076..ff48b59f 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -29,12 +29,14 @@
 
 package org.jetbrains.kotlinx.spark.api
 
+import org.apache.commons.lang3.reflect.TypeUtils.*
 import org.apache.spark.sql.Encoder
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.DefinedByConstructorParams
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.EncoderField
+import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.JavaBeanEncoder
 import org.apache.spark.sql.catalyst.encoders.AgnosticEncoders.ProductEncoder
 import org.apache.spark.sql.catalyst.encoders.OuterScopes
 import org.apache.spark.sql.types.DataType
@@ -49,12 +51,15 @@ import org.jetbrains.kotlinx.spark.api.plugin.annotations.ColumnName
 import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
 import scala.reflect.ClassTag
 import java.io.Serializable
+import java.util.*
+import javax.annotation.Nonnull
 import kotlin.reflect.KClass
 import kotlin.reflect.KMutableProperty
 import kotlin.reflect.KProperty1
 import kotlin.reflect.KType
 import kotlin.reflect.KTypeProjection
 import kotlin.reflect.full.createType
+import kotlin.reflect.full.declaredMemberFunctions
 import kotlin.reflect.full.declaredMemberProperties
 import kotlin.reflect.full.hasAnnotation
 import kotlin.reflect.full.isSubclassOf
@@ -62,6 +67,7 @@ import kotlin.reflect.full.isSubtypeOf
 import kotlin.reflect.full.primaryConstructor
 import kotlin.reflect.full.staticFunctions
 import kotlin.reflect.full.withNullability
+import kotlin.reflect.jvm.javaGetter
 import kotlin.reflect.jvm.javaMethod
 import kotlin.reflect.jvm.jvmName
 import kotlin.reflect.typeOf
@@ -163,6 +169,7 @@ object KotlinTypeInference : Serializable {
      *
      * @return an [AgnosticEncoder] for the given [kType].
      */
+    @Suppress("UNCHECKED_CAST")
     fun <T> encoderFor(kType: KType): AgnosticEncoder<T> =
         encoderFor(
             currentType = kType,
@@ -562,10 +569,6 @@ object KotlinTypeInference : Serializable {
             }
 
             kClass.isData -> {
-                // TODO provide warnings for non-Sparkify annotated classes
-                // TODO especially Pair and Triple, promote people to use Tuple2 and Tuple3 or use "getFirst" etc. as column name
-
-                if (currentType in seenTypeSet) throw IllegalStateException("Circular reference detected for type $currentType")
                 val constructor = kClass.primaryConstructor!!
                 val kParameters = constructor.parameters
                 // todo filter for transient?
@@ -586,7 +589,7 @@ object KotlinTypeInference : Serializable {
                     )
 
                     val paramName = param.name
-                    val readMethodName = prop.getter.javaMethod!!.name
+                    val readMethodName = prop.javaGetter!!.name
                     val writeMethodName = (prop as? KMutableProperty<*>)?.setter?.javaMethod?.name
 
                     EncoderField(
@@ -636,13 +639,87 @@ object KotlinTypeInference : Serializable {
             }
 
             // java bean class
-//            currentType.classifier is KClass<*> -> {
-//                TODO()
-//
-//                 JavaBeanEncoder()
-//            }
+            else -> {
+                if (currentType in seenTypeSet)
+                    throw IllegalStateException("Circular reference detected for type $currentType")
+
+                val properties = getJavaBeanReadableProperties(kClass)
+                val fields = properties.map {
+                    val encoder = encoderFor(
+                        currentType = it.type,
+                        seenTypeSet = seenTypeSet + currentType,
+                        typeVariables = typeVariables,
+                    )
+
+                    EncoderField(
+                        /* name = */ it.propName,
+                        /* enc = */ encoder,
+                        /* nullable = */ encoder.nullable() && !it.hasNonnull,
+                        /* metadata = */ Metadata.empty(),
+                        /* readMethod = */ it.getterName.toOption(),
+                        /* writeMethod = */ it.setterName.toOption(),
+                    )
+                }
+
+                JavaBeanEncoder<Any>(
+                    ClassTag.apply(jClass),
+                    fields.asScalaSeq(),
+                )
+            }
+
+//            else -> throw IllegalArgumentException("No encoder found for type $currentType")
+        }
+    }
 
-            else -> throw IllegalArgumentException("No encoder found for type $currentType")
+    private data class JavaReadableProperty(
+        val propName: String,
+        val getterName: String,
+        val setterName: String?,
+        val type: KType,
+        val hasNonnull: Boolean,
+    )
+
+    private fun getJavaBeanReadableProperties(klass: KClass<*>): List<JavaReadableProperty> {
+        val functions = klass.declaredMemberFunctions.filter {
+            it.name.startsWith("get") || it.name.startsWith("is") || it.name.startsWith("set")
         }
+
+        val properties = functions.mapNotNull { getter ->
+            if (getter.name.startsWith("set")) return@mapNotNull null
+
+            val propName = getter.name
+                .removePrefix("get")
+                .removePrefix("is")
+                .replaceFirstChar { it.lowercase() }
+            val setter = functions.find {
+                it.name == "set${propName.replaceFirstChar { it.uppercase() }}"
+            }
+
+            JavaReadableProperty(
+                propName = propName,
+                getterName = getter.name,
+                setterName = setter?.name,
+                type = getter.returnType,
+                hasNonnull = getter.hasAnnotation<Nonnull>(),
+            )
+        }
+
+        // Aside from java get/set functions, attempt to get kotlin properties as well, for non data classes
+        val kotlinProps = klass.declaredMemberProperties
+            .filter { it.getter.javaMethod != null } // filter kotlin-facing props
+            .map {
+                val hasSetter = (it as? KMutableProperty<*>)?.setter != null
+                val nameSuffix = it.name.removePrefix("is").replaceFirstChar { it.uppercase() }
+
+                JavaReadableProperty(
+                    propName = it.name,
+                    getterName = if (it.name.startsWith("is")) it.name else "get$nameSuffix",
+                    setterName = if (hasSetter) "set$nameSuffix" else null,
+                    type = it.returnType,
+                    hasNonnull = it.hasAnnotation<Nonnull>(),
+                )
+            }
+
+        return properties + kotlinProps
     }
 }
\ No newline at end of file

From ab4c4555b9f21df5356ace1b5f0e8b6455cae2de Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sun, 7 Apr 2024 15:51:08 +0200
Subject: [PATCH 33/38] added encoding for DatePeriod, DateTimePeriod, Instant,
 LocalDateTime, and LocalDate, Duration not working

---
 .../jetbrains/kotlinx/spark/api/Encoding.kt   | 32 ++++++---
 .../kotlinx/spark/api/udts/DatePeriodUdt.kt   | 27 +++++++
 .../spark/api/udts/DateTimePeriodUdt.kt       | 46 ++++++++++++
 .../kotlinx/spark/api/udts/DurationUdt.kt     | 46 ++++++++++++
 .../kotlinx/spark/api/udts/InstantUdt.kt      | 26 +++++++
 .../spark/api/udts/LocalDateTimeUdt.kt        | 26 +++++++
 .../kotlinx/spark/api/udts/LocalDateUdt.kt    | 26 +++++++
 .../kotlinx/spark/api/EncodingTest.kt         | 70 +++++++++++++++++++
 8 files changed, 288 insertions(+), 11 deletions(-)
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DatePeriodUdt.kt
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DateTimePeriodUdt.kt
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DurationUdt.kt
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/InstantUdt.kt
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateTimeUdt.kt
 create mode 100644 kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateUdt.kt

diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index ff48b59f..874b5e66 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -49,6 +49,11 @@ import org.apache.spark.sql.types.UserDefinedType
 import org.apache.spark.unsafe.types.CalendarInterval
 import org.jetbrains.kotlinx.spark.api.plugin.annotations.ColumnName
 import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
+import org.jetbrains.kotlinx.spark.api.udts.DatePeriodUdt
+import org.jetbrains.kotlinx.spark.api.udts.DateTimePeriodUdt
+import org.jetbrains.kotlinx.spark.api.udts.InstantUdt
+import org.jetbrains.kotlinx.spark.api.udts.LocalDateTimeUdt
+import org.jetbrains.kotlinx.spark.api.udts.LocalDateUdt
 import scala.reflect.ClassTag
 import java.io.Serializable
 import java.util.*
@@ -170,12 +175,14 @@ object KotlinTypeInference : Serializable {
      * @return an [AgnosticEncoder] for the given [kType].
      */
     @Suppress("UNCHECKED_CAST")
-    fun <T> encoderFor(kType: KType): AgnosticEncoder<T> =
-        encoderFor(
+    fun <T> encoderFor(kType: KType): AgnosticEncoder<T> {
+        registerUdts()
+        return encoderFor(
             currentType = kType,
             seenTypeSet = emptySet(),
             typeVariables = emptyMap(),
         ) as AgnosticEncoder<T>
+    }
 
 
     private inline fun <reified T> KType.isSubtypeOf(): Boolean = isSubtypeOf(typeOf<T>())
@@ -296,6 +303,16 @@ object KotlinTypeInference : Serializable {
     private fun <K, V> transitiveMerge(a: Map<K, V>, b: Map<K, V>, valueToKey: (V) -> K?): Map<K, V> =
         a + b.mapValues { a.getOrDefault(valueToKey(it.value), it.value) }
 
+    private fun registerUdts() {
+        UDTRegistration.register(kotlinx.datetime.LocalDate::class.java.name, LocalDateUdt::class.java.name)
+        UDTRegistration.register(kotlinx.datetime.Instant::class.java.name, InstantUdt::class.java.name)
+        UDTRegistration.register(kotlinx.datetime.LocalDateTime::class.java.name, LocalDateTimeUdt::class.java.name)
+        UDTRegistration.register(kotlinx.datetime.DatePeriod::class.java.name, DatePeriodUdt::class.java.name)
+        UDTRegistration.register(kotlinx.datetime.DateTimePeriod::class.java.name, DateTimePeriodUdt::class.java.name)
+        // TODO
+        //  UDTRegistration.register(kotlin.time.Duration::class.java.name, DurationUdt::class.java.name)
+    }
+
     /**
      *
      */
@@ -375,19 +392,12 @@ object KotlinTypeInference : Serializable {
             currentType.isSubtypeOf<java.math.BigInteger?>() -> AgnosticEncoders.`JavaBigIntEncoder$`.`MODULE$`
             currentType.isSubtypeOf<CalendarInterval?>() -> AgnosticEncoders.`CalendarIntervalEncoder$`.`MODULE$`
             currentType.isSubtypeOf<java.time.LocalDate?>() -> AgnosticEncoders.STRICT_LOCAL_DATE_ENCODER()
-            currentType.isSubtypeOf<kotlinx.datetime.LocalDate?>() -> TODO("User java.time.LocalDate for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.sql.Date?>() -> AgnosticEncoders.STRICT_DATE_ENCODER()
             currentType.isSubtypeOf<java.time.Instant?>() -> AgnosticEncoders.STRICT_INSTANT_ENCODER()
-            currentType.isSubtypeOf<kotlinx.datetime.Instant?>() -> TODO("Use java.time.Instant for now. We'll create a UDT for this.")
-            currentType.isSubtypeOf<kotlin.time.TimeMark?>() -> TODO("Use java.time.Instant for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.sql.Timestamp?>() -> AgnosticEncoders.STRICT_TIMESTAMP_ENCODER()
             currentType.isSubtypeOf<java.time.LocalDateTime?>() -> AgnosticEncoders.`LocalDateTimeEncoder$`.`MODULE$`
-            currentType.isSubtypeOf<kotlinx.datetime.LocalDateTime?>() -> TODO("Use java.time.LocalDateTime for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.time.Duration?>() -> AgnosticEncoders.`DayTimeIntervalEncoder$`.`MODULE$`
-            currentType.isSubtypeOf<kotlin.time.Duration?>() -> TODO("Use java.time.Duration for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<java.time.Period?>() -> AgnosticEncoders.`YearMonthIntervalEncoder$`.`MODULE$`
-            currentType.isSubtypeOf<kotlinx.datetime.DateTimePeriod?>() -> TODO("Use java.time.Period for now. We'll create a UDT for this.")
-            currentType.isSubtypeOf<kotlinx.datetime.DatePeriod?>() -> TODO("Use java.time.Period for now. We'll create a UDT for this.")
             currentType.isSubtypeOf<Row?>() -> AgnosticEncoders.`UnboundRowEncoder$`.`MODULE$`
 
             // enums
@@ -414,6 +424,8 @@ object KotlinTypeInference : Serializable {
                 AgnosticEncoders.UDTEncoder(udt, udt.javaClass)
             }
 
+            currentType.isSubtypeOf<kotlin.time.Duration?>() -> TODO("kotlin.time.Duration is unsupported. Use java.time.Duration for now.")
+
             currentType.isSubtypeOf<scala.Option<*>?>() -> {
                 val elementEncoder = encoderFor(
                     currentType = tArguments.first().type!!,
@@ -666,8 +678,6 @@ object KotlinTypeInference : Serializable {
                     fields.asScalaSeq(),
                 )
             }
-
-//            else -> throw IllegalArgumentException("No encoder found for type $currentType")
         }
     }
 
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DatePeriodUdt.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DatePeriodUdt.kt
new file mode 100644
index 00000000..3705cb5a
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DatePeriodUdt.kt
@@ -0,0 +1,27 @@
+package org.jetbrains.kotlinx.spark.api.udts
+
+import kotlinx.datetime.DatePeriod
+import kotlinx.datetime.toJavaPeriod
+import kotlinx.datetime.toKotlinDatePeriod
+import org.apache.spark.sql.catalyst.util.IntervalUtils
+import org.apache.spark.sql.types.UserDefinedType
+import org.apache.spark.sql.types.YearMonthIntervalType
+
+/**
+ * NOTE: Just like java.time.DatePeriod, this is truncated to months.
+ */
+class DatePeriodUdt : UserDefinedType<DatePeriod>() {
+
+    override fun userClass(): Class<DatePeriod> = DatePeriod::class.java
+    override fun deserialize(datum: Any?): DatePeriod? =
+        when (datum) {
+            null -> null
+            is Int -> IntervalUtils.monthsToPeriod(datum).toKotlinDatePeriod()
+            else -> throw IllegalArgumentException("Unsupported datum: $datum")
+        }
+
+    override fun serialize(obj: DatePeriod?): Int? =
+        obj?.let { IntervalUtils.periodToMonths(it.toJavaPeriod()) }
+
+    override fun sqlType(): YearMonthIntervalType = YearMonthIntervalType.apply()
+}
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DateTimePeriodUdt.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DateTimePeriodUdt.kt
new file mode 100644
index 00000000..3b939cf9
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DateTimePeriodUdt.kt
@@ -0,0 +1,46 @@
+package org.jetbrains.kotlinx.spark.api.udts
+
+import kotlinx.datetime.DateTimePeriod
+import org.apache.spark.sql.types.CalendarIntervalType
+import org.apache.spark.sql.types.`CalendarIntervalType$`
+import org.apache.spark.sql.types.UserDefinedType
+import org.apache.spark.unsafe.types.CalendarInterval
+import kotlin.time.Duration.Companion.hours
+import kotlin.time.Duration.Companion.minutes
+import kotlin.time.Duration.Companion.nanoseconds
+import kotlin.time.Duration.Companion.seconds
+
+/**
+ * NOTE: Just like java.time.DatePeriod, this is truncated to months.
+ */
+class DateTimePeriodUdt : UserDefinedType<DateTimePeriod>() {
+
+    override fun userClass(): Class<DateTimePeriod> = DateTimePeriod::class.java
+    override fun deserialize(datum: Any?): DateTimePeriod? =
+        when (datum) {
+            null -> null
+            is CalendarInterval ->
+                DateTimePeriod(
+                    months = datum.months,
+                    days = datum.days,
+                    nanoseconds = datum.microseconds * 1_000,
+                )
+
+            else -> throw IllegalArgumentException("Unsupported datum: $datum")
+        }
+
+    override fun serialize(obj: DateTimePeriod?): CalendarInterval? =
+        obj?.let {
+            CalendarInterval(
+                /* months = */ obj.months + obj.years * 12,
+                /* days = */ obj.days,
+                /* microseconds = */
+                (obj.hours.hours +
+                        obj.minutes.minutes +
+                        obj.seconds.seconds +
+                        obj.nanoseconds.nanoseconds).inWholeMicroseconds,
+            )
+        }
+
+    override fun sqlType(): CalendarIntervalType = `CalendarIntervalType$`.`MODULE$`
+}
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DurationUdt.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DurationUdt.kt
new file mode 100644
index 00000000..ff1e5df4
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/DurationUdt.kt
@@ -0,0 +1,46 @@
+package org.jetbrains.kotlinx.spark.api.udts
+
+import org.apache.spark.sql.catalyst.util.IntervalUtils
+import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.DayTimeIntervalType
+import org.apache.spark.sql.types.UserDefinedType
+import kotlin.time.Duration
+import kotlin.time.Duration.Companion.milliseconds
+import kotlin.time.Duration.Companion.nanoseconds
+import kotlin.time.toJavaDuration
+import kotlin.time.toKotlinDuration
+
+// TODO Fails, likely because Duration is a value class.
+class DurationUdt : UserDefinedType<Duration>() {
+
+    override fun userClass(): Class<Duration> = Duration::class.java
+    override fun deserialize(datum: Any?): Duration? =
+        when (datum) {
+            null -> null
+            is Long -> IntervalUtils.microsToDuration(datum).toKotlinDuration()
+//            is Long -> IntervalUtils.microsToDuration(datum).toKotlinDuration().let {
+//                // store in nanos
+//                it.inWholeNanoseconds shl 1
+//            }
+            else -> throw IllegalArgumentException("Unsupported datum: $datum")
+        }
+
+//    override fun serialize(obj: Duration): Long =
+//        IntervalUtils.durationToMicros(obj.toJavaDuration())
+
+    fun serialize(obj: Long): Long? =
+        obj?.let { rawValue ->
+            val unitDiscriminator = rawValue.toInt() and 1
+            fun isInNanos() = unitDiscriminator == 0
+            val value = rawValue shr 1
+            val duration = if (isInNanos()) value.nanoseconds else value.milliseconds
+
+            IntervalUtils.durationToMicros(duration.toJavaDuration())
+        }
+
+    override fun serialize(obj: Duration): Long? =
+        obj?.let { IntervalUtils.durationToMicros(it.toJavaDuration()) }
+
+
+    override fun sqlType(): DataType = DayTimeIntervalType.apply()
+}
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/InstantUdt.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/InstantUdt.kt
new file mode 100644
index 00000000..7b8ba110
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/InstantUdt.kt
@@ -0,0 +1,26 @@
+package org.jetbrains.kotlinx.spark.api.udts
+
+import kotlinx.datetime.Instant
+import kotlinx.datetime.toJavaInstant
+import kotlinx.datetime.toKotlinInstant
+import org.apache.spark.sql.catalyst.util.DateTimeUtils
+import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.`TimestampType$`
+import org.apache.spark.sql.types.UserDefinedType
+
+
+class InstantUdt : UserDefinedType<Instant>() {
+
+    override fun userClass(): Class<Instant> = Instant::class.java
+    override fun deserialize(datum: Any?): Instant? =
+        when (datum) {
+            null -> null
+            is Long -> DateTimeUtils.microsToInstant(datum).toKotlinInstant()
+            else -> throw IllegalArgumentException("Unsupported datum: $datum")
+        }
+
+    override fun serialize(obj: Instant?): Long? =
+        obj?.let { DateTimeUtils.instantToMicros(it.toJavaInstant()) }
+
+    override fun sqlType(): DataType = `TimestampType$`.`MODULE$`
+}
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateTimeUdt.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateTimeUdt.kt
new file mode 100644
index 00000000..7dd4fa0d
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateTimeUdt.kt
@@ -0,0 +1,26 @@
+package org.jetbrains.kotlinx.spark.api.udts
+
+import kotlinx.datetime.LocalDateTime
+import kotlinx.datetime.toJavaLocalDateTime
+import kotlinx.datetime.toKotlinLocalDateTime
+import org.apache.spark.sql.catalyst.util.DateTimeUtils
+import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.`TimestampNTZType$`
+import org.apache.spark.sql.types.UserDefinedType
+
+
+class LocalDateTimeUdt : UserDefinedType<LocalDateTime>() {
+
+    override fun userClass(): Class<LocalDateTime> = LocalDateTime::class.java
+    override fun deserialize(datum: Any?): LocalDateTime? =
+        when (datum) {
+            null -> null
+            is Long -> DateTimeUtils.microsToLocalDateTime(datum).toKotlinLocalDateTime()
+            else -> throw IllegalArgumentException("Unsupported datum: $datum")
+        }
+
+    override fun serialize(obj: LocalDateTime?): Long? =
+        obj?.let { DateTimeUtils.localDateTimeToMicros(it.toJavaLocalDateTime()) }
+
+    override fun sqlType(): DataType = `TimestampNTZType$`.`MODULE$`
+}
\ No newline at end of file
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateUdt.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateUdt.kt
new file mode 100644
index 00000000..033b05e5
--- /dev/null
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/udts/LocalDateUdt.kt
@@ -0,0 +1,26 @@
+package org.jetbrains.kotlinx.spark.api.udts
+
+import kotlinx.datetime.LocalDate
+import kotlinx.datetime.toJavaLocalDate
+import kotlinx.datetime.toKotlinLocalDate
+import org.apache.spark.sql.catalyst.util.DateTimeUtils
+import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.`DateType$`
+import org.apache.spark.sql.types.UserDefinedType
+
+
+class LocalDateUdt : UserDefinedType<LocalDate>() {
+
+    override fun userClass(): Class<LocalDate> = LocalDate::class.java
+    override fun deserialize(datum: Any?): LocalDate? =
+        when (datum) {
+            null -> null
+            is Int -> DateTimeUtils.daysToLocalDate(datum).toKotlinLocalDate()
+            else -> throw IllegalArgumentException("Unsupported datum: $datum")
+        }
+
+    override fun serialize(obj: LocalDate?): Int? =
+        obj?.let { DateTimeUtils.localDateToDays(it.toJavaLocalDate()) }
+
+    override fun sqlType(): DataType = `DateType$`.`MODULE$`
+}
\ No newline at end of file
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
index 295faa19..05acc6d0 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/EncodingTest.kt
@@ -25,6 +25,11 @@ import io.kotest.core.spec.style.ShouldSpec
 import io.kotest.matchers.collections.shouldContainExactly
 import io.kotest.matchers.shouldBe
 import io.kotest.matchers.string.shouldContain
+import kotlinx.datetime.DateTimePeriod
+import kotlinx.datetime.toKotlinDatePeriod
+import kotlinx.datetime.toKotlinInstant
+import kotlinx.datetime.toKotlinLocalDate
+import kotlinx.datetime.toKotlinLocalDateTime
 import org.apache.spark.sql.Dataset
 import org.apache.spark.sql.types.Decimal
 import org.apache.spark.unsafe.types.CalendarInterval
@@ -37,7 +42,12 @@ import java.sql.Timestamp
 import java.time.Duration
 import java.time.Instant
 import java.time.LocalDate
+import java.time.LocalDateTime
 import java.time.Period
+import kotlin.time.TimeMark
+import kotlin.time.TimeSource
+import kotlin.time.TimeSource.Monotonic
+import kotlin.time.toKotlinDuration
 
 class EncodingTest : ShouldSpec({
 
@@ -53,6 +63,12 @@ class EncodingTest : ShouldSpec({
                 dataset.collectAsList() shouldBe dates
             }
 
+            should("handle Kotlinx LocalDate Datasets") {
+                val dates = listOf(LocalDate.now().toKotlinLocalDate(), LocalDate.now().toKotlinLocalDate())
+                val dataset = dates.toDS()
+                dataset.collectAsList() shouldBe dates
+            }
+
             should("handle Instant Datasets") {
                 val instants = listOf(Instant.now(), Instant.now())
                 val dataset: Dataset<Instant> = instants.toDS()
@@ -63,17 +79,44 @@ class EncodingTest : ShouldSpec({
                 }
             }
 
+            should("handle Kotlinx Instant Datasets") {
+                val instants = listOf(Instant.now().toKotlinInstant(), Instant.now().toKotlinInstant())
+                val dataset = instants.toDS()
+                dataset.collectAsList().let { (first, second) ->
+                    val (a, b) = instants
+                    a.compareTo(first) shouldBe 0
+                    b.compareTo(second) shouldBe 0
+                }
+            }
+
             should("handle Timestamp Datasets") {
                 val timeStamps = listOf(Timestamp(0L), Timestamp(1L))
                 val dataset = timeStamps.toDS()
                 dataset.collectAsList() shouldBe timeStamps
             }
 
+            should("handle LocalDateTime") {
+                val timeStamps = listOf(LocalDateTime.now(), LocalDateTime.now().plusDays(3))
+                val dataset = timeStamps.toDS()
+                dataset.collectAsList() shouldBe timeStamps
+            }
+
+            should("handle Kotlinx LocalDateTime") {
+                val timeStamps = listOf(LocalDateTime.now().toKotlinLocalDateTime(), LocalDateTime.now().plusDays(3).toKotlinLocalDateTime())
+                val dataset = timeStamps.toDS()
+                dataset.collectAsList() shouldBe timeStamps
+            }
+
             //#if sparkMinor >= 3.2
             should("handle Duration Datasets") {
                 val dataset = dsOf(Duration.ZERO)
                 dataset.collectAsList() shouldBe listOf(Duration.ZERO)
             }
+
+            xshould("handle Kotlin Duration Datasets") {
+                val dataset = dsOf(Duration.ZERO.toKotlinDuration())
+                dataset.collectAsList() shouldBe listOf(Duration.ZERO.toKotlinDuration())
+            }
             //#endif
 
             //#if sparkMinor >= 3.2
@@ -92,6 +135,33 @@ class EncodingTest : ShouldSpec({
             }
             //#endif
 
+            should("handle Kotlinx DateTimePeriod Datasets") {
+                val periods = listOf(DateTimePeriod(years = 1), DateTimePeriod(hours = 2))
+                val dataset = periods.toDS()
+
+                dataset.show(false)
+
+                dataset.collectAsList().let {
+                    it[0] shouldBe DateTimePeriod(years = 1)
+                    // NOTE Spark truncates java.time.Period to months.
+                    it[1] shouldBe DateTimePeriod(hours = 2)
+                }
+            }
+
+            should("handle Kotlinx DatePeriod Datasets") {
+                val periods = listOf(Period.ZERO.toKotlinDatePeriod(), Period.ofDays(2).toKotlinDatePeriod())
+                val dataset = periods.toDS()
+
+                dataset.show(false)
+
+                dataset.collectAsList().let {
+                    it[0] shouldBe Period.ZERO.toKotlinDatePeriod()
+
+                    // NOTE Spark truncates java.time.Period to months.
+                    it[1] shouldBe Period.ofDays(0).toKotlinDatePeriod()
+                }
+            }
+
             should("handle binary datasets") {
                 val byteArray = "Hello there".encodeToByteArray()
                 val dataset = dsOf(byteArray)

From e05feac48b726a1863d89b2bf9cf40376d19e4e0 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Wed, 10 Apr 2024 12:30:35 +0200
Subject: [PATCH 34/38] kotlin 2.0.0-RC1, enabled jupyter module. Added basic
 Sparkify conversion for jupyter. Disabled html renderes in favor of just
 outputting them as text. Notebooks can render them however they like. RDDs
 are converted to ds before rendering

---
 buildSrc/src/main/kotlin/Versions.kt          |   2 +-
 .../DataClassSparkifySuperTypeGenerator.kt    |   5 +-
 examples/build.gradle.kts                     |   6 +
 gradle/bootstraps/compiler-plugin.jar         | Bin 47047 -> 47032 bytes
 gradle/bootstraps/gradle-plugin.jar           | Bin 9345 -> 9347 bytes
 .../kotlinx/spark/api/jupyter/Integration.kt  | 172 ++++++++++++++----
 .../spark/api/jupyter/SparkIntegration.kt     |   5 +-
 .../kotlinx/spark/api/jupyter/JupyterTests.kt |  94 ++++++----
 settings.gradle.kts                           |   4 +-
 9 files changed, 203 insertions(+), 85 deletions(-)

diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index 59eab276..ed3ce444 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -2,7 +2,7 @@ object Versions : Dsl<Versions> {
     const val project = "2.0.0-SNAPSHOT"
     const val kotlinSparkApiGradlePlugin = "2.0.0-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
-    const val kotlin = "2.0.0-Beta5"
+    const val kotlin = "2.0.0-RC1"
     const val jvmTarget = "8"
     const val jupyterJvmTarget = "8"
     inline val spark get() = System.getProperty("spark") as String
diff --git a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt
index 339b3269..3a13c458 100644
--- a/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt
+++ b/compiler-plugin/src/main/kotlin/org/jetbrains/kotlinx/spark/api/compilerPlugin/fir/DataClassSparkifySuperTypeGenerator.kt
@@ -33,10 +33,10 @@ class DataClassSparkifySuperTypeGenerator(
         }
     }
 
-    context(TypeResolveServiceContainer)
     override fun computeAdditionalSupertypes(
         classLikeDeclaration: FirClassLikeDeclaration,
-        resolvedSupertypes: List<FirResolvedTypeRef>
+        resolvedSupertypes: List<FirResolvedTypeRef>,
+        typeResolver: TypeResolveService,
     ): List<FirResolvedTypeRef> = listOf(
         buildResolvedTypeRef {
             val scalaProduct = productFqNames.first().let {
@@ -48,7 +48,6 @@ class DataClassSparkifySuperTypeGenerator(
                 isNullable = false,
             )
         }
-
     )
 
     override fun needTransformSupertypes(declaration: FirClassLikeDeclaration): Boolean =
diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts
index 4a0a2179..8683926a 100644
--- a/examples/build.gradle.kts
+++ b/examples/build.gradle.kts
@@ -3,7 +3,13 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
 plugins {
     // Needs to be installed in the local maven repository or have the bootstrap jar on the classpath
     id("org.jetbrains.kotlinx.spark.api")
+    java
     kotlin("jvm")
+    kotlin("plugin.noarg") version Versions.kotlin
+}
+
+noArg {
+    annotation("org.jetbrains.kotlinx.spark.examples.NoArg")
 }
 
 kotlinSparkApi {
diff --git a/gradle/bootstraps/compiler-plugin.jar b/gradle/bootstraps/compiler-plugin.jar
index 2ea26a00e4761153ad5ca395caecf07e160af1d3..af6fb778737690d95bd62bfbe96d5a4fdf668ac4 100644
GIT binary patch
delta 27779
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diff --git a/gradle/bootstraps/gradle-plugin.jar b/gradle/bootstraps/gradle-plugin.jar
index 7d1d03583c8455b18df1d685c5e79520b1ef63c2..fe0cde250c326c54b81d7fb2fbc7f7483f384527 100644
GIT binary patch
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z-X*?A%33}~hVSQGZfc6=pQM>>ii(J*oeQ_Xb@ZZX7zu9Nq5*%Q?&09wH$XeCBu(dS
z!k=N$Mg6!Wwa!sX8E`g^naiU&@2?X{W&9r?c3wiXID1&Ua2zTl8Rq<C8Rwne=j+T_
zJ>}kbfOMECt;bR)doepO!rJgmce=QLiD0VUZ-fh0PQ45|t9mwrIJp%ATw&0eqn96>
z)>3o|xTQ@zMT1=&_vs1}jgt)QsWt*)!BEG_Yefd8%3}Ni{Br@hlY}XxRsS#i&;*2X
zRTQ^+HSzY^)aYh_LI3)QAv)KkF@ZF)J4ysE?a8}x32<}sh$|~0O2P6;#y?rdMt$W@
zsJ9>rm~+U5Qyc;>gbsrc47xNr%$T6zm9s&GM6T!{^iPK?5R$(-6NHqn2oYAJ`?u3!
zkiuqH#Yy4cu8Nm(f{_#n{2%wI6v-F*ztIo)?>dik1YtBp?p^!>7(9pu(<~}QX)S=M
XzfhjDi!J7ItBLUzW1-O&ynOW!A}<A%

diff --git a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
index 448751ae..6e2585dc 100644
--- a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
+++ b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
@@ -19,21 +19,43 @@
  */
 package org.jetbrains.kotlinx.spark.api.jupyter
 
-import kotlinx.serialization.Serializable
-import kotlinx.serialization.json.*
+import org.apache.spark.api.java.JavaDoubleRDD
+import org.apache.spark.api.java.JavaPairRDD
+import org.apache.spark.api.java.JavaRDD
 import org.apache.spark.api.java.JavaRDDLike
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.Dataset
 import org.intellij.lang.annotations.Language
-import org.jetbrains.kotlinx.jupyter.api.*
+import org.jetbrains.kotlinx.jupyter.api.Code
+import org.jetbrains.kotlinx.jupyter.api.FieldValue
+import org.jetbrains.kotlinx.jupyter.api.KotlinKernelHost
+import org.jetbrains.kotlinx.jupyter.api.MimeTypedResult
+import org.jetbrains.kotlinx.jupyter.api.Notebook
+import org.jetbrains.kotlinx.jupyter.api.VariableDeclaration
+import org.jetbrains.kotlinx.jupyter.api.createRendererByCompileTimeType
+import org.jetbrains.kotlinx.jupyter.api.declare
 import org.jetbrains.kotlinx.jupyter.api.libraries.JupyterIntegration
+import org.jetbrains.kotlinx.jupyter.api.textResult
+import org.jetbrains.kotlinx.spark.api.SparkSession
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.displayLimitName
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.displayTruncateName
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.scalaName
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.sparkName
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.sparkPropertiesName
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.versionName
-import kotlin.reflect.KProperty1
+import org.jetbrains.kotlinx.spark.api.kotlinEncoderFor
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.ColumnName
+import org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify
+import scala.Tuple2
+import kotlin.reflect.KClass
+import kotlin.reflect.KMutableProperty
+import kotlin.reflect.full.createType
+import kotlin.reflect.full.findAnnotation
+import kotlin.reflect.full.isSubtypeOf
+import kotlin.reflect.full.memberFunctions
+import kotlin.reflect.full.memberProperties
+import kotlin.reflect.full.primaryConstructor
+import kotlin.reflect.full.valueParameters
 import kotlin.reflect.typeOf
 
 
@@ -46,9 +68,6 @@ abstract class Integration(private val notebook: Notebook, private val options:
     protected val sparkVersion = /*$"\""+spark+"\""$*/ /*-*/ ""
     protected val version = /*$"\""+version+"\""$*/ /*-*/ ""
 
-    protected val displayLimitOld = "DISPLAY_LIMIT"
-    protected val displayTruncateOld = "DISPLAY_TRUNCATE"
-
     protected val properties: Properties
         get() = notebook
             .variablesState[sparkPropertiesName]!!
@@ -101,6 +120,7 @@ abstract class Integration(private val notebook: Notebook, private val options:
     )
 
     open val imports: Array<String> = arrayOf(
+        "org.jetbrains.kotlinx.spark.api.plugin.annotations.*",
         "org.jetbrains.kotlinx.spark.api.*",
         "org.jetbrains.kotlinx.spark.api.tuples.*",
         *(1..22).map { "scala.Tuple$it" }.toTypedArray(),
@@ -116,6 +136,9 @@ abstract class Integration(private val notebook: Notebook, private val options:
         "org.apache.spark.streaming.*",
     )
 
+    // Needs to be set by integration
+    var spark: SparkSession? = null
+
     override fun Builder.onLoaded() {
         dependencies(*dependencies)
         import(*imports)
@@ -135,27 +158,6 @@ abstract class Integration(private val notebook: Notebook, private val options:
                 )
             )
 
-            @Language("kts")
-            val _0 = execute(
-                """
-                @Deprecated("Use ${displayLimitName}=${properties.displayLimit} in %use magic or ${sparkPropertiesName}.${displayLimitName} = ${properties.displayLimit} instead", ReplaceWith("${sparkPropertiesName}.${displayLimitName}"))
-                var $displayLimitOld: Int
-                    get() = ${sparkPropertiesName}.${displayLimitName}
-                    set(value) {
-                        println("$displayLimitOld is deprecated: Use ${sparkPropertiesName}.${displayLimitName} instead")
-                        ${sparkPropertiesName}.${displayLimitName} = value
-                    }
-                
-                @Deprecated("Use ${displayTruncateName}=${properties.displayTruncate} in %use magic or ${sparkPropertiesName}.${displayTruncateName} = ${properties.displayTruncate} instead", ReplaceWith("${sparkPropertiesName}.${displayTruncateName}"))
-                var $displayTruncateOld: Int
-                    get() = ${sparkPropertiesName}.${displayTruncateName}
-                    set(value) {
-                        println("$displayTruncateOld is deprecated: Use ${sparkPropertiesName}.${displayTruncateName} instead")
-                        ${sparkPropertiesName}.${displayTruncateName} = value
-                    }
-            """.trimIndent()
-            )
-
             onLoaded()
         }
 
@@ -180,27 +182,119 @@ abstract class Integration(private val notebook: Notebook, private val options:
             onShutdown()
         }
 
+        onClassAnnotation<Sparkify> {
+            for (klass in it) {
+                if (klass.isData) {
+                    execute(generateSparkifyClass(klass))
+                }
+            }
+        }
 
         // Render Dataset
         render<Dataset<*>> {
-            with(properties) {
-                HTML(it.toHtml(limit = displayLimit, truncate = displayTruncate))
-            }
+            renderDataset(it)
         }
 
-        render<RDD<*>> {
-            with(properties) {
-                HTML(it.toJavaRDD().toHtml(limit = displayLimit, truncate = displayTruncate))
+        // using compile time KType, convert this JavaRDDLike to Dataset and render it
+        notebook.renderersProcessor.registerWithoutOptimizing(
+            createRendererByCompileTimeType<JavaRDDLike<*, *>> {
+                if (spark == null) return@createRendererByCompileTimeType it.value.toString()
+
+                val rdd = (it.value as JavaRDDLike<*, *>).rdd()
+                val type = when {
+                    it.type.isSubtypeOf(typeOf<JavaDoubleRDD>()) ->
+                        typeOf<Double>()
+
+                    it.type.isSubtypeOf(typeOf<JavaPairRDD<*, *>>()) ->
+                        Tuple2::class.createType(
+                            listOf(
+                                it.type.arguments.first(),
+                                it.type.arguments.last(),
+                            )
+                        )
+
+                    it.type.isSubtypeOf(typeOf<JavaRDD<*>>()) ->
+                        it.type.arguments.first().type!!
+
+                    else -> it.type.arguments.first().type!!
+                }
+                val ds = spark!!.createDataset(rdd, kotlinEncoderFor(type))
+                renderDataset(ds)
             }
-        }
+        )
+
+        // using compile time KType, convert this RDD to Dataset and render it
+        notebook.renderersProcessor.registerWithoutOptimizing(
+            createRendererByCompileTimeType<RDD<*>> {
+                if (spark == null) return@createRendererByCompileTimeType it.value.toString()
 
-        render<JavaRDDLike<*, *>> {
-            with(properties) {
-                HTML(it.toHtml(limit = displayLimit, truncate = displayTruncate))
+                val rdd = it.value as RDD<*>
+                val type = it.type.arguments.first().type!!
+                val ds = spark!!.createDataset(rdd, kotlinEncoderFor(type))
+                renderDataset(ds)
             }
+        )
+
+        onLoadedAlsoDo()
+    }
 
+    private fun renderDataset(it: Dataset<*>): MimeTypedResult =
+        with(properties) {
+            val showFunction = Dataset::class
+                .memberFunctions
+                .firstOrNull { it.name == "showString" && it.valueParameters.size == 3 }
+
+            textResult(
+                if (showFunction != null) {
+                    showFunction.call(it, displayLimit, displayTruncate, false) as String
+                } else {
+                    // if the function cannot be called, make sure it will call println instead
+                    it.show(displayLimit, displayTruncate)
+                    ""
+                }
+            )
         }
 
-        onLoadedAlsoDo()
+
+    // TODO wip
+    private fun generateSparkifyClass(klass: KClass<*>): Code {
+//        val name = "`${klass.simpleName!!}${'$'}Generated`"
+        val name = klass.simpleName
+        val constructorArgs = klass.primaryConstructor!!.parameters
+        val visibility = klass.visibility?.name?.lowercase() ?: ""
+        val memberProperties = klass.memberProperties
+
+        val properties = constructorArgs.associateWith {
+            memberProperties.first { it.name == it.name }
+        }
+
+        val constructorParamsCode = properties.entries.joinToString("\n") { (param, prop) ->
+            // TODO check override
+            if (param.isOptional) TODO()
+            val modifier = if (prop is KMutableProperty<*>) "var" else "val"
+            val paramVisiblity = prop.visibility?.name?.lowercase() ?: ""
+            val columnName = param.findAnnotation<ColumnName>()?.name ?: param.name!!
+
+            "|     @get:kotlin.jvm.JvmName(\"$columnName\") $paramVisiblity $modifier ${param.name}: ${param.type},"
+        }
+
+        val productElementWhenParamsCode = properties.entries.joinToString("\n") { (param, _) ->
+            "|        ${param.index} -> this.${param.name}"
+        }
+
+        @Language("kotlin")
+        val code = """
+            |$visibility data class $name(
+            $constructorParamsCode
+            |): scala.Product, java.io.Serializable {
+            |    override fun canEqual(that: Any?): Boolean = that is $name
+            |    override fun productArity(): Int = ${constructorArgs.size}
+            |    override fun productElement(n: Int): Any = when (n) {
+            $productElementWhenParamsCode
+            |        else -> throw IndexOutOfBoundsException()
+            |    }
+            |}
+        """.trimMargin()
+        return code
     }
 }
diff --git a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/SparkIntegration.kt b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/SparkIntegration.kt
index cc308116..0c4eb096 100644
--- a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/SparkIntegration.kt
+++ b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/SparkIntegration.kt
@@ -25,6 +25,7 @@ package org.jetbrains.kotlinx.spark.api.jupyter
 import org.intellij.lang.annotations.Language
 import org.jetbrains.kotlinx.jupyter.api.KotlinKernelHost
 import org.jetbrains.kotlinx.jupyter.api.Notebook
+import org.jetbrains.kotlinx.spark.api.SparkSession
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.appNameName
 import org.jetbrains.kotlinx.spark.api.jupyter.Properties.Companion.sparkMasterName
 
@@ -86,7 +87,7 @@ class SparkIntegration(notebook: Notebook, options: MutableMap<String, String?>)
             """
                 inline fun <reified T> dfOf(vararg arg: T): Dataset<Row> = spark.dfOf(*arg)""".trimIndent(),
             """
-                inline fun <reified T> emptyDataset(): Dataset<T> = spark.emptyDataset(encoder<T>())""".trimIndent(),
+                inline fun <reified T> emptyDataset(): Dataset<T> = spark.emptyDataset(kotlinEncoderFor<T>())""".trimIndent(),
             """
                 inline fun <reified T> dfOf(colNames: Array<String>, vararg arg: T): Dataset<Row> = spark.dfOf(colNames, *arg)""".trimIndent(),
             """
@@ -108,6 +109,8 @@ class SparkIntegration(notebook: Notebook, options: MutableMap<String, String?>)
             """
                 inline fun <RETURN, reified NAMED_UDF : NamedUserDefinedFunction<RETURN, *>> UserDefinedFunction<RETURN, NAMED_UDF>.register(name: String): NAMED_UDF = spark.udf().register(name = name, udf = this)""".trimIndent(),
         ).map(::execute)
+
+        spark = execute("spark").value as SparkSession
     }
 
     override fun KotlinKernelHost.onShutdown() {
diff --git a/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt b/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt
index b82512b7..3ffd37be 100644
--- a/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt
+++ b/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt
@@ -32,15 +32,12 @@ import org.apache.spark.api.java.JavaSparkContext
 import org.apache.spark.streaming.api.java.JavaStreamingContext
 import org.intellij.lang.annotations.Language
 import org.jetbrains.kotlinx.jupyter.EvalRequestData
-import org.jetbrains.kotlinx.jupyter.MutableNotebook
 import org.jetbrains.kotlinx.jupyter.ReplForJupyter
-import org.jetbrains.kotlinx.jupyter.ReplForJupyterImpl
 import org.jetbrains.kotlinx.jupyter.api.Code
 import org.jetbrains.kotlinx.jupyter.api.MimeTypedResult
-import org.jetbrains.kotlinx.jupyter.libraries.EmptyResolutionInfoProvider
+import org.jetbrains.kotlinx.jupyter.api.MimeTypes
 import org.jetbrains.kotlinx.jupyter.repl.EvalResultEx
 import org.jetbrains.kotlinx.jupyter.repl.creating.createRepl
-import org.jetbrains.kotlinx.jupyter.testkit.JupyterReplTestCase
 import org.jetbrains.kotlinx.jupyter.testkit.ReplProvider
 import org.jetbrains.kotlinx.jupyter.util.PatternNameAcceptanceRule
 import org.jetbrains.kotlinx.spark.api.SparkSession
@@ -83,10 +80,11 @@ class JupyterTests : ShouldSpec({
 
     context("Jupyter") {
         withRepl {
+            exec("%trackExecution")
 
             should("Allow functions on local data classes") {
                 @Language("kts")
-                val klass = exec("""data class Test(val a: Int, val b: String)""")
+                val klass = exec("""@Sparkify data class Test(val a: Int, val b: String)""")
 
                 @Language("kts")
                 val ds = exec("""val ds = dsOf(Test(1, "hi"), Test(2, "something"))""")
@@ -112,7 +110,7 @@ class JupyterTests : ShouldSpec({
 
             should("render Datasets") {
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                     val ds = listOf(1, 2, 3).toDS()
                     ds
@@ -128,7 +126,7 @@ class JupyterTests : ShouldSpec({
 
             should("render JavaRDDs") {
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                     val rdd: JavaRDD<List<Int>> = listOf(
                         listOf(1, 2, 3), 
@@ -145,7 +143,7 @@ class JupyterTests : ShouldSpec({
 
             should("render JavaRDDs with Arrays") {
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                     val rdd: JavaRDD<IntArray> = rddOf(
                         intArrayOf(1, 2, 3), 
@@ -165,7 +163,7 @@ class JupyterTests : ShouldSpec({
                 @Language("kts")
                 val klass = exec(
                     """
-                    data class Test(
+                    @Sparkify data class Test(
                         val longFirstName: String,
                         val second: LongArray,
                         val somethingSpecial: Map<Int, String>,
@@ -174,7 +172,7 @@ class JupyterTests : ShouldSpec({
                 )
 
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                     val rdd =
                         listOf(
@@ -185,29 +183,40 @@ class JupyterTests : ShouldSpec({
                     rdd
                     """.trimIndent()
                 )
-                html shouldContain "Test(longFirstName=aaaaaaaa..."
+                html shouldContain """
+                    +-------------+---------------+--------------------+
+                    |longFirstName|         second|    somethingSpecial|
+                    +-------------+---------------+--------------------+
+                    |    aaaaaaaaa|[1, 100000, 24]|{1 -> one, 2 -> two}|
+                    |    aaaaaaaaa|[1, 100000, 24]|{1 -> one, 2 -> two}|
+                    +-------------+---------------+--------------------+""".trimIndent()
             }
 
             should("render JavaPairRDDs") {
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                     val rdd: JavaPairRDD<Int, Int> = rddOf(
-                        c(1, 2).toTuple(),
-                        c(3, 4).toTuple(),
+                        t(1, 2),
+                        t(3, 4),
                     ).toJavaPairRDD()
                     rdd
                     """.trimIndent()
                 )
                 println(html)
 
-                html shouldContain "1, 2"
-                html shouldContain "3, 4"
+                html shouldContain """
+                    +---+---+
+                    | _1| _2|
+                    +---+---+
+                    |  1|  2|
+                    |  3|  4|
+                    +---+---+""".trimIndent()
             }
 
             should("render JavaDoubleRDD") {
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                     val rdd: JavaDoubleRDD = rddOf(1.0, 2.0, 3.0, 4.0,).toJavaDoubleRDD()
                     rdd
@@ -223,7 +232,7 @@ class JupyterTests : ShouldSpec({
 
             should("render Scala RDD") {
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                     val rdd: RDD<List<Int>> = rddOf(
                         listOf(1, 2, 3), 
@@ -244,9 +253,9 @@ class JupyterTests : ShouldSpec({
                 val oldTruncation = exec("""sparkProperties.displayTruncate""") as Int
 
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
-                        data class Test(val a: String)
+                        @Sparkify data class Test(val a: String)
                         sparkProperties.displayTruncate = 3
                         dsOf(Test("aaaaaaaaaa"))
                     """.trimIndent()
@@ -255,8 +264,8 @@ class JupyterTests : ShouldSpec({
                 @Language("kts")
                 val restoreTruncation = exec("""sparkProperties.displayTruncate = $oldTruncation""")
 
-                html shouldContain "<td>aaa</td>"
-                html shouldNotContain "<td>aaaaaaaaaa</td>"
+                html shouldContain "aaa"
+                html shouldNotContain "aaaaaaaaaa"
             }
 
             should("limit dataset rows using properties") {
@@ -265,9 +274,9 @@ class JupyterTests : ShouldSpec({
                 val oldLimit = exec("""sparkProperties.displayLimit""") as Int
 
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
-                        data class Test(val a: String)
+                        @Sparkify data class Test(val a: String)
                         sparkProperties.displayLimit = 3
                         dsOf(Test("a"), Test("b"), Test("c"), Test("d"), Test("e"))
                     """.trimIndent()
@@ -276,11 +285,11 @@ class JupyterTests : ShouldSpec({
                 @Language("kts")
                 val restoreLimit = exec("""sparkProperties.displayLimit = $oldLimit""")
 
-                html shouldContain "<td>a</td>"
-                html shouldContain "<td>b</td>"
-                html shouldContain "<td>c</td>"
-                html shouldNotContain "<td>d</td>"
-                html shouldNotContain "<td>e</td>"
+                html shouldContain "a|"
+                html shouldContain "b|"
+                html shouldContain "c|"
+                html shouldNotContain "d|"
+                html shouldNotContain "e|"
             }
 
             should("truncate rdd cells using properties") {
@@ -289,7 +298,7 @@ class JupyterTests : ShouldSpec({
                 val oldTruncation = exec("""sparkProperties.displayTruncate""") as Int
 
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                         sparkProperties.displayTruncate = 3
                         rddOf("aaaaaaaaaa")
@@ -299,8 +308,8 @@ class JupyterTests : ShouldSpec({
                 @Language("kts")
                 val restoreTruncation = exec("""sparkProperties.displayTruncate = $oldTruncation""")
 
-                html shouldContain "<td>aaa</td>"
-                html shouldNotContain "<td>aaaaaaaaaa</td>"
+                html shouldContain "aaa"
+                html shouldNotContain "aaaaaaaaaa"
             }
 
             should("limit rdd rows using properties") {
@@ -309,7 +318,7 @@ class JupyterTests : ShouldSpec({
                 val oldLimit = exec("""sparkProperties.displayLimit""") as Int
 
                 @Language("kts")
-                val html = execHtml(
+                val html = execForDisplayText(
                     """
                         sparkProperties.displayLimit = 3
                         rddOf("a", "b", "c", "d", "e")
@@ -319,11 +328,11 @@ class JupyterTests : ShouldSpec({
                 @Language("kts")
                 val restoreLimit = exec("""sparkProperties.displayLimit = $oldLimit""")
 
-                html shouldContain "<td>a</td>"
-                html shouldContain "<td>b</td>"
-                html shouldContain "<td>c</td>"
-                html shouldNotContain "<td>d</td>"
-                html shouldNotContain "<td>e</td>"
+                html shouldContain " a|"
+                html shouldContain " b|"
+                html shouldContain " c|"
+                html shouldNotContain " d|"
+                html shouldNotContain " e|"
             }
 
             @Language("kts")
@@ -391,7 +400,7 @@ class JupyterStreamingTests : ShouldSpec({
                 }
             }
 
-            xshould("stream") {
+            should("stream") {
 
                 @Language("kts")
                 val value = exec(
@@ -458,4 +467,11 @@ private fun ReplForJupyter.execHtml(code: Code): String {
     return html
 }
 
+private fun ReplForJupyter.execForDisplayText(code: Code): String {
+    val res = exec<MimeTypedResult>(code)
+    val text = res[MimeTypes.PLAIN_TEXT]
+    text.shouldNotBeNull()
+    return text
+}
+
 class Counter(@Volatile var value: Int) : Serializable
diff --git a/settings.gradle.kts b/settings.gradle.kts
index 8ad32812..98776e06 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -35,7 +35,7 @@ rootProject.name = "kotlin-spark-api-parent_$versions"
 include("scala-helpers")
 include("scala-tuples-in-kotlin")
 include("kotlin-spark-api")
-//include("jupyter")
+include("jupyter")
 include("examples")
 include("compiler-plugin")
 include("gradle-plugin")
@@ -46,7 +46,7 @@ project(":scala-tuples-in-kotlin").name = "scala-tuples-in-kotlin_$scalaCompat"
 
 // spark+scala dependent
 project(":kotlin-spark-api").name = "kotlin-spark-api_$versions"
-//project(":jupyter").name = "jupyter_$versions"
+project(":jupyter").name = "jupyter_$versions"
 project(":examples").name = "examples_$versions"
 
 buildCache {

From 7fd77bedf0e00f04dc2adef1a42fc9ab469ffc53 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Wed, 10 Apr 2024 12:49:54 +0200
Subject: [PATCH 35/38] make render in jupyter use show instead

---
 .../kotlinx/spark/api/jupyter/Integration.kt  | 30 +++++++++++--------
 1 file changed, 17 insertions(+), 13 deletions(-)

diff --git a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
index 6e2585dc..715fa94a 100644
--- a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
+++ b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
@@ -240,19 +240,23 @@ abstract class Integration(private val notebook: Notebook, private val options:
 
     private fun renderDataset(it: Dataset<*>): MimeTypedResult =
         with(properties) {
-            val showFunction = Dataset::class
-                .memberFunctions
-                .firstOrNull { it.name == "showString" && it.valueParameters.size == 3 }
-
-            textResult(
-                if (showFunction != null) {
-                    showFunction.call(it, displayLimit, displayTruncate, false) as String
-                } else {
-                    // if the function cannot be called, make sure it will call println instead
-                    it.show(displayLimit, displayTruncate)
-                    ""
-                }
-            )
+//            val showFunction = Dataset::class
+//                .memberFunctions
+//                .firstOrNull { it.name == "showString" && it.valueParameters.size == 3 }
+//
+//            textResult(
+//                if (showFunction != null) {
+//                    showFunction.call(it, displayLimit, displayTruncate, false) as String
+//                } else {
+//                    // if the function cannot be called, make sure it will call println instead
+//                    it.show(displayLimit, displayTruncate)
+//                    ""
+//                }
+//            )
+
+            // don't actually render, instead use `show()`, which calls System.out
+            it.show(displayLimit, displayTruncate)
+            textResult("")
         }
 
 

From 92b699d798c541a407828c39b7b63e412ed46ef6 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sat, 18 May 2024 14:02:57 +0200
Subject: [PATCH 36/38] disabled jupyter tests relying on DISPLAY(), update
 jupyter to latest java 8 version

---
 buildSrc/src/main/kotlin/Versions.kt          |   8 ++--
 gradle/bootstraps/compiler-plugin.jar         | Bin 47032 -> 47032 bytes
 gradle/bootstraps/gradle-plugin.jar           | Bin 9347 -> 9347 bytes
 .../kotlinx/spark/api/jupyter/JupyterTests.kt |  37 +++++++++---------
 .../jetbrains/kotlinx/spark/api/Encoding.kt   |  18 ++++++---
 5 files changed, 36 insertions(+), 27 deletions(-)

diff --git a/buildSrc/src/main/kotlin/Versions.kt b/buildSrc/src/main/kotlin/Versions.kt
index ed3ce444..64b0d510 100644
--- a/buildSrc/src/main/kotlin/Versions.kt
+++ b/buildSrc/src/main/kotlin/Versions.kt
@@ -2,7 +2,7 @@ object Versions : Dsl<Versions> {
     const val project = "2.0.0-SNAPSHOT"
     const val kotlinSparkApiGradlePlugin = "2.0.0-SNAPSHOT"
     const val groupID = "org.jetbrains.kotlinx.spark"
-    const val kotlin = "2.0.0-RC1"
+    const val kotlin = "2.0.0-RC3"
     const val jvmTarget = "8"
     const val jupyterJvmTarget = "8"
     inline val spark get() = System.getProperty("spark") as String
@@ -12,10 +12,10 @@ object Versions : Dsl<Versions> {
     inline val scalaCompat get() = scala.substringBeforeLast('.')
     // TODO
     inline val sparkConnect get() = System.getProperty("sparkConnect", "false").toBoolean()
-    const val jupyter = "0.12.0-32-1"
+    const val jupyter = "0.12.0-163" // latest jupyter version with java 8
 
     const val gradlePublishPlugin = "1.1.0"
-    const val kotest = "5.5.4"
+    const val kotest = "5.9.0"
     const val shadow = "8.1.1"
 
     const val buildconfig = "5.3.5"
@@ -33,7 +33,7 @@ object Versions : Dsl<Versions> {
     const val kotlinxHtml = "0.7.5"
     const val klaxon = "5.5"
     const val jacksonDatabind = "2.13.4.2"
-    const val kotlinxDateTime = "0.6.0-RC.2"
+    const val kotlinxDateTime = "0.6.0"
 
     inline val versionMap: Map<String, String>
         get() = mapOf(
diff --git a/gradle/bootstraps/compiler-plugin.jar b/gradle/bootstraps/compiler-plugin.jar
index af6fb778737690d95bd62bfbe96d5a4fdf668ac4..fa1826de8afb94e8b131e9df9cf82993e8643427 100644
GIT binary patch
delta 482
zcmdn-o@vK>Cf)#VW)=|!1`ZAeiM&k{dDWOfl$jTpYF+`NChIXOg6SYeZ7|)yXbh&e
zF<J@&<s%q?fC)qZfx_gEhRRaR3@FA%1a?X!g)uWQTw$C1fK_dCGE+V?*o3RBK44mf
zEdWGsE@xw812d|5<}ra8GW=3PV1}il0V|l1qgKKVVoZK)=nob!HTn|{W|(xvL3B@@
zP{Rcl5t*$3(PX}$86vfJ*$Eb~?vB;^V0zc;^<X+@4TP3kYXatnuC)i#)7J)q>DOx^
z>Sfnig87l_9KrP5b?#vL`8sbfZMr@ROizN+@7KqH`2iayg6St4y1{hO#&$6MXCp*>
z!X^k`YI7`DylQhTnEti70Zi9!se!29QU~F0tq0Tpw^o7anr*gVde62pFm1ZM833)y
BucH6}

delta 482
zcmdn-o@vK>Cf)#VW)=|!1`ZAe=NX+7dDWP;mQ+nN^I~=Y@|stGsL6VaieNg3Q5#G*
zFdBpDZH$(JK=}v;AYcL!K%g-BqoJ}CGXug{kcz-giKH-Q28JtalOM3EZBAy&X9k;a
zmDLAKtFQ%t=*{J9jBH>=HP1XIFhho4N(jubR5V}(Gjh~QxIv7`j}8670;WcP!odua
zt~iM9sS|3rz#<~E6(E|-7c@hp_AWcY0`lVIj@9~Lde`dpU^-{bdS+k<OqN?~0_KOV
zwFlcWeQh9^e!W&7Ov|pb1k;i09KrP5b?#vL`8sbfZMr@ROizN+@7KqH`2iayg6St4
zy1{hO#&$6MXCp*>!X^k`YI7`DylQhTnEti70Zi9!se!29QU~F0tq0Tpw^o7OTeHm;
OOz+uN2BuB7Hv<4{Z?`o7

diff --git a/gradle/bootstraps/gradle-plugin.jar b/gradle/bootstraps/gradle-plugin.jar
index fe0cde250c326c54b81d7fb2fbc7f7483f384527..b470374e9ed9c4e7cfd9c91acf25b7a25752beae 100644
GIT binary patch
delta 270
zcmZqnZ1&_0@MdNaVPN3kV35e$G?7=08AO?RfvM&&Fm*=}L``DU22qps7>&Vn3Zo^M
zUchJzqBlQaT)+$#Xl4cL-h6?zgAFVb%_9t!*<8r~jSs9OOU_gfs3$^kUa&<l0|P@6
z5IaqrC^`A0TsK%jxV#CN?vu9%(--9Z!L*WsK9~+sfLK03!4b^AqTmju<rKZabdF*a
gm_Df(0j5=ys=)L@rA1)cO}Q3KA5(S)(>yBW0A|-$5dZ)H

delta 270
zcmZqnZ1&_0@MdNaVPN3kV3^$9IgwY5S$j#<L^ChuMQxoEo5R4=9Yqi|iBTIwP1a*H
z2Gc2wmSB1Tqb-Qu{D5%*GgzRR6|8&n1=bEWuuL?MFj!`DA^$f%X00Vvle6SZ1%Y&g
z;=EvsU<L+;Bp`O0I8k!)Nx5!jpgSgq%bS24GPzIQ9&F|Xd4Djiq@WL`LlhvEPf&0K
v^RFnlgK0TMZ!n#s7zL(JDn@{56{RXLy-;Zpn08aH1v})JvNM?GQ7H!iq2OY-

diff --git a/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt b/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt
index 3ffd37be..9368ebc4 100644
--- a/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt
+++ b/jupyter/src/test/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/JupyterTests.kt
@@ -31,13 +31,14 @@ import jupyter.kotlin.DependsOn
 import org.apache.spark.api.java.JavaSparkContext
 import org.apache.spark.streaming.api.java.JavaStreamingContext
 import org.intellij.lang.annotations.Language
-import org.jetbrains.kotlinx.jupyter.EvalRequestData
-import org.jetbrains.kotlinx.jupyter.ReplForJupyter
 import org.jetbrains.kotlinx.jupyter.api.Code
 import org.jetbrains.kotlinx.jupyter.api.MimeTypedResult
 import org.jetbrains.kotlinx.jupyter.api.MimeTypes
-import org.jetbrains.kotlinx.jupyter.repl.EvalResultEx
+import org.jetbrains.kotlinx.jupyter.libraries.createLibraryHttpUtil
+import org.jetbrains.kotlinx.jupyter.repl.EvalRequestData
+import org.jetbrains.kotlinx.jupyter.repl.ReplForJupyter
 import org.jetbrains.kotlinx.jupyter.repl.creating.createRepl
+import org.jetbrains.kotlinx.jupyter.repl.result.EvalResultEx
 import org.jetbrains.kotlinx.jupyter.testkit.ReplProvider
 import org.jetbrains.kotlinx.jupyter.util.PatternNameAcceptanceRule
 import org.jetbrains.kotlinx.spark.api.SparkSession
@@ -49,6 +50,7 @@ class JupyterTests : ShouldSpec({
 
     val replProvider = ReplProvider { classpath ->
         createRepl(
+            httpUtil = createLibraryHttpUtil(),
             scriptClasspath = classpath,
             isEmbedded = true,
         ).apply {
@@ -108,7 +110,7 @@ class JupyterTests : ShouldSpec({
                 sc as? JavaSparkContext shouldNotBe null
             }
 
-            should("render Datasets") {
+            xshould("render Datasets") {
                 @Language("kts")
                 val html = execForDisplayText(
                     """
@@ -124,7 +126,7 @@ class JupyterTests : ShouldSpec({
                 html shouldContain "3"
             }
 
-            should("render JavaRDDs") {
+            xshould("render JavaRDDs") {
                 @Language("kts")
                 val html = execForDisplayText(
                     """
@@ -141,7 +143,7 @@ class JupyterTests : ShouldSpec({
                 html shouldContain "4, 5, 6"
             }
 
-            should("render JavaRDDs with Arrays") {
+            xshould("render JavaRDDs with Arrays") {
                 @Language("kts")
                 val html = execForDisplayText(
                     """
@@ -158,7 +160,7 @@ class JupyterTests : ShouldSpec({
                 html shouldContain "4, 5, 6"
             }
 
-            should("render JavaRDDs with custom class") {
+            xshould("render JavaRDDs with custom class") {
 
                 @Language("kts")
                 val klass = exec(
@@ -192,7 +194,7 @@ class JupyterTests : ShouldSpec({
                     +-------------+---------------+--------------------+""".trimIndent()
             }
 
-            should("render JavaPairRDDs") {
+            xshould("render JavaPairRDDs") {
                 @Language("kts")
                 val html = execForDisplayText(
                     """
@@ -214,7 +216,7 @@ class JupyterTests : ShouldSpec({
                     +---+---+""".trimIndent()
             }
 
-            should("render JavaDoubleRDD") {
+            xshould("render JavaDoubleRDD") {
                 @Language("kts")
                 val html = execForDisplayText(
                     """
@@ -230,7 +232,7 @@ class JupyterTests : ShouldSpec({
                 html shouldContain "4.0"
             }
 
-            should("render Scala RDD") {
+            xshould("render Scala RDD") {
                 @Language("kts")
                 val html = execForDisplayText(
                     """
@@ -247,7 +249,7 @@ class JupyterTests : ShouldSpec({
                 html shouldContain "4, 5, 6"
             }
 
-            should("truncate dataset cells using properties") {
+            xshould("truncate dataset cells using properties") {
 
                 @Language("kts")
                 val oldTruncation = exec("""sparkProperties.displayTruncate""") as Int
@@ -268,7 +270,7 @@ class JupyterTests : ShouldSpec({
                 html shouldNotContain "aaaaaaaaaa"
             }
 
-            should("limit dataset rows using properties") {
+            xshould("limit dataset rows using properties") {
 
                 @Language("kts")
                 val oldLimit = exec("""sparkProperties.displayLimit""") as Int
@@ -292,7 +294,7 @@ class JupyterTests : ShouldSpec({
                 html shouldNotContain "e|"
             }
 
-            should("truncate rdd cells using properties") {
+            xshould("truncate rdd cells using properties") {
 
                 @Language("kts")
                 val oldTruncation = exec("""sparkProperties.displayTruncate""") as Int
@@ -312,7 +314,7 @@ class JupyterTests : ShouldSpec({
                 html shouldNotContain "aaaaaaaaaa"
             }
 
-            should("limit rdd rows using properties") {
+            xshould("limit rdd rows using properties") {
 
                 @Language("kts")
                 val oldLimit = exec("""sparkProperties.displayLimit""") as Int
@@ -344,6 +346,7 @@ class JupyterTests : ShouldSpec({
 class JupyterStreamingTests : ShouldSpec({
     val replProvider = ReplProvider { classpath ->
         createRepl(
+            httpUtil = createLibraryHttpUtil(),
             scriptClasspath = classpath,
             isEmbedded = true,
         ).apply {
@@ -373,7 +376,7 @@ class JupyterStreamingTests : ShouldSpec({
     fun createRepl(): ReplForJupyter = replProvider(scriptClasspath)
     suspend fun withRepl(action: suspend ReplForJupyter.() -> Unit): Unit = createRepl().action()
 
-    context("Jupyter") {
+    xcontext("Jupyter") {
         withRepl {
 
             // For when onInterrupt is implemented in the Jupyter kernel
@@ -449,9 +452,7 @@ class JupyterStreamingTests : ShouldSpec({
 
 private fun ReplForJupyter.execEx(code: Code): EvalResultEx = evalEx(EvalRequestData(code))
 
-private fun ReplForJupyter.exec(code: Code): Any? = execEx(code).renderedValue
-
-private fun ReplForJupyter.execRaw(code: Code): Any? = execEx(code).rawValue
+private fun ReplForJupyter.exec(code: Code): Any? = (execEx(code) as? EvalResultEx.Success)?.renderedValue
 
 @JvmName("execTyped")
 private inline fun <reified T : Any> ReplForJupyter.exec(code: Code): T {
diff --git a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
index 874b5e66..0306b8f6 100644
--- a/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
+++ b/kotlin-spark-api/src/main/kotlin/org/jetbrains/kotlinx/spark/api/Encoding.kt
@@ -304,11 +304,19 @@ object KotlinTypeInference : Serializable {
         a + b.mapValues { a.getOrDefault(valueToKey(it.value), it.value) }
 
     private fun registerUdts() {
-        UDTRegistration.register(kotlinx.datetime.LocalDate::class.java.name, LocalDateUdt::class.java.name)
-        UDTRegistration.register(kotlinx.datetime.Instant::class.java.name, InstantUdt::class.java.name)
-        UDTRegistration.register(kotlinx.datetime.LocalDateTime::class.java.name, LocalDateTimeUdt::class.java.name)
-        UDTRegistration.register(kotlinx.datetime.DatePeriod::class.java.name, DatePeriodUdt::class.java.name)
-        UDTRegistration.register(kotlinx.datetime.DateTimePeriod::class.java.name, DateTimePeriodUdt::class.java.name)
+        val udts = listOf(
+            kotlinx.datetime.LocalDate::class to LocalDateUdt::class,
+            kotlinx.datetime.Instant::class to InstantUdt::class,
+            kotlinx.datetime.LocalDateTime::class to LocalDateTimeUdt::class,
+            kotlinx.datetime.DatePeriod::class to DatePeriodUdt::class,
+            kotlinx.datetime.DateTimePeriod::class to DateTimePeriodUdt::class,
+        )
+
+        for ((kClass, udtClass) in udts) {
+            if (!UDTRegistration.exists(kClass.java.name)) {
+                UDTRegistration.register(kClass.java.name, udtClass.java.name)
+            }
+        }
         // TODO
         //  UDTRegistration.register(kotlin.time.Duration::class.java.name, DurationUdt::class.java.name)
     }

From eae0196322a8633352e2648b07ad6f18c1cfdf8a Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sat, 18 May 2024 14:08:12 +0200
Subject: [PATCH 37/38] disabled unsupported rddtests

---
 .../test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
index efce7810..7bd1ca7b 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
@@ -1,6 +1,8 @@
 package org.jetbrains.kotlinx.spark.api
 
 import io.kotest.core.spec.style.ShouldSpec
+import io.kotest.core.spec.style.Test
+import io.kotest.core.test.TestScope
 import io.kotest.matchers.collections.shouldContainAll
 import io.kotest.matchers.shouldBe
 import org.apache.spark.api.java.JavaRDD
@@ -8,7 +10,7 @@ import org.jetbrains.kotlinx.spark.api.tuples.*
 import scala.Tuple2
 import java.io.Serializable
 
-class RddTest : Serializable, ShouldSpec({
+class RddTest : ShouldSpec({
     context("RDD extension functions") {
 
         withSpark(
@@ -74,6 +76,7 @@ class RddTest : Serializable, ShouldSpec({
                     rdd.min() shouldBe 1.0
                 }
 
+                // TODO Does not work from testing environment
                 xcontext("Work with any number") {
 
                     should("Work with Bytes") {
@@ -108,7 +111,7 @@ class RddTest : Serializable, ShouldSpec({
 
                     should("Work with Doubles") {
                         val data = listOf(1, 1, 2, 2, 2, 3).map(Int::toDouble)
-                        val rdd = data.toRDD().toJavaDoubleRDD()
+                        val rdd = data.toRDD()
                         rdd.sum() shouldBe data.sum().toDouble()
                     }
                 }

From 22fa5ae34d70bc58d32dae25cfeca09178e46398 Mon Sep 17 00:00:00 2001
From: Jolan Rensen <jolan.rensen@jetbrains.com>
Date: Sat, 15 Jun 2024 16:26:12 +0200
Subject: [PATCH 38/38] added spark connect example which does not yet work
 with kotlin-spark-api

---
 buildSrc/src/main/kotlin/Dependencies.kt      |   2 +
 gradle/bootstraps/compiler-plugin.jar         | Bin 47032 -> 47033 bytes
 gradle/bootstraps/gradle-plugin.jar           | Bin 9347 -> 9347 bytes
 .../kotlinx/spark/api/jupyter/Integration.kt  |   5 +-
 kotlin-spark-api/build.gradle.kts             |   2 +-
 .../jetbrains/kotlinx/spark/api/RddTest.kt    |   6 +-
 settings.gradle.kts                           |   3 +
 spark-connect-examples/build.gradle.kts       |  60 ++++++++++++++++++
 .../jetbrains/kotlinx/spark/examples/Main.kt  |  27 ++++++++
 9 files changed, 98 insertions(+), 7 deletions(-)
 create mode 100644 spark-connect-examples/build.gradle.kts
 create mode 100644 spark-connect-examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/Main.kt

diff --git a/buildSrc/src/main/kotlin/Dependencies.kt b/buildSrc/src/main/kotlin/Dependencies.kt
index 20fce75d..d19181c8 100644
--- a/buildSrc/src/main/kotlin/Dependencies.kt
+++ b/buildSrc/src/main/kotlin/Dependencies.kt
@@ -4,6 +4,8 @@ object Dependencies : Dsl<Dependencies> {
     inline val scalaLibrary get() = "org.scala-lang:scala-library:${Versions.scala}"
     inline val kotlinxHtml get() = "org.jetbrains.kotlinx:kotlinx-html-jvm:${Versions.kotlinxHtml}"
     inline val sparkSql get() = "org.apache.spark:spark-sql_${Versions.scalaCompat}:${Versions.spark}"
+    inline val sparkSqlApi get() = "org.apache.spark:spark-sql-api_${Versions.scalaCompat}:${Versions.spark}"
+    inline val sparkConnectClient get() = "org.apache.spark:spark-connect-client-jvm_${Versions.scalaCompat}:${Versions.spark}"
     inline val sparkMl get() = "org.apache.spark:spark-mllib_${Versions.scalaCompat}:${Versions.spark}"
     inline val sparkStreaming get() = "org.apache.spark:spark-streaming_${Versions.scalaCompat}:${Versions.spark}"
     inline val hadoopClient get() = "org.apache.hadoop:hadoop-client:${Versions.hadoop}"
diff --git a/gradle/bootstraps/compiler-plugin.jar b/gradle/bootstraps/compiler-plugin.jar
index fa1826de8afb94e8b131e9df9cf82993e8643427..6de5e4692c87e16ecd876e8d19245fbcd3135f33 100644
GIT binary patch
delta 1697
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zTXw@His>gw8jamAY&uq7;Ms1mtLEHHjY+@L{t(vG5nolmY^%w#^1R=%urjbvo-1v5
z=y|r7m_3Dws0K{Z@l~9GNA$du*F9tp(@k<_Z&jp^PAbK-&-Ov;MB^on;dr2pL%2+P
zhvllap~-f+iY}h^t;|>%zg&0G1Dopgg?LZz-Ma>+ju}x3Z2}^&CgNswb6Fx<cv4-s
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diff --git a/gradle/bootstraps/gradle-plugin.jar b/gradle/bootstraps/gradle-plugin.jar
index b470374e9ed9c4e7cfd9c91acf25b7a25752beae..740a990dfa8d20e220d52b222cfda4374d4eb781 100644
GIT binary patch
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diff --git a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
index 715fa94a..30b9b27b 100644
--- a/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
+++ b/jupyter/src/main/kotlin/org/jetbrains/kotlinx/spark/api/jupyter/Integration.kt
@@ -162,10 +162,11 @@ abstract class Integration(private val notebook: Notebook, private val options:
         }
 
         beforeCellExecution {
-            if (scalaCompatVersion.toDouble() >= 2.13)
+            if (scalaCompatVersion.toDouble() >= 2.13) {
                 execute("scala.`Console\$`.`MODULE\$`.setOutDirect(System.out)")
-            else
+            } else {
                 execute("""scala.Console.setOut(System.out)""")
+            }
 
             beforeCellExecution()
         }
diff --git a/kotlin-spark-api/build.gradle.kts b/kotlin-spark-api/build.gradle.kts
index 812af551..9e0097d7 100644
--- a/kotlin-spark-api/build.gradle.kts
+++ b/kotlin-spark-api/build.gradle.kts
@@ -42,7 +42,7 @@ dependencies {
         // https://github.com/FasterXML/jackson-bom/issues/52
         if (Versions.spark == "3.3.1") implementation(jacksonDatabind)
 
-        if (Versions.sparkConnect) TODO("unsupported for now")
+        // if (Versions.sparkConnect) TODO("unsupported for now")
 
         implementation(
             kotlinStdLib,
diff --git a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
index 7bd1ca7b..51a97c3d 100644
--- a/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
+++ b/kotlin-spark-api/src/test/kotlin/org/jetbrains/kotlinx/spark/api/RddTest.kt
@@ -1,14 +1,12 @@
 package org.jetbrains.kotlinx.spark.api
 
 import io.kotest.core.spec.style.ShouldSpec
-import io.kotest.core.spec.style.Test
-import io.kotest.core.test.TestScope
 import io.kotest.matchers.collections.shouldContainAll
 import io.kotest.matchers.shouldBe
 import org.apache.spark.api.java.JavaRDD
-import org.jetbrains.kotlinx.spark.api.tuples.*
+import org.jetbrains.kotlinx.spark.api.tuples.X
+import org.jetbrains.kotlinx.spark.api.tuples.t
 import scala.Tuple2
-import java.io.Serializable
 
 class RddTest : ShouldSpec({
     context("RDD extension functions") {
diff --git a/settings.gradle.kts b/settings.gradle.kts
index 98776e06..07822dec 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -21,9 +21,11 @@ gradleEnterprise {
 val spark: String by settings
 val scala: String by settings
 val skipScalaOnlyDependent: String by settings
+val sparkConnect: String by settings
 System.setProperty("spark", spark)
 System.setProperty("scala", scala)
 System.setProperty("skipScalaOnlyDependent", skipScalaOnlyDependent)
+System.setProperty("sparkConnect", sparkConnect)
 
 val scalaCompat
     get() = scala.substringBeforeLast('.')
@@ -37,6 +39,7 @@ include("scala-tuples-in-kotlin")
 include("kotlin-spark-api")
 include("jupyter")
 include("examples")
+include("spark-connect-examples")
 include("compiler-plugin")
 include("gradle-plugin")
 
diff --git a/spark-connect-examples/build.gradle.kts b/spark-connect-examples/build.gradle.kts
new file mode 100644
index 00000000..c1f20c0a
--- /dev/null
+++ b/spark-connect-examples/build.gradle.kts
@@ -0,0 +1,60 @@
+import org.jetbrains.kotlin.gradle.dsl.JvmTarget
+
+plugins {
+    // Needs to be installed in the local maven repository or have the bootstrap jar on the classpath
+    id("org.jetbrains.kotlinx.spark.api")
+    kotlin("jvm")
+    application
+}
+
+// run with `./gradlew run`
+application {
+    mainClass = "org.jetbrains.kotlinx.spark.examples.MainKt"
+
+    // workaround for java 17
+    applicationDefaultJvmArgs = listOf("--add-opens", "java.base/java.nio=ALL-UNNAMED")
+}
+
+kotlinSparkApi {
+    enabled = true
+    sparkifyAnnotationFqNames = listOf("org.jetbrains.kotlinx.spark.api.plugin.annotations.Sparkify")
+}
+
+group = Versions.groupID
+version = Versions.project
+
+repositories {
+    mavenLocal()
+    mavenCentral()
+}
+
+dependencies {
+    Projects {
+        implementation(
+            // TODO kotlinSparkApi,
+        )
+    }
+
+    Dependencies {
+
+        // IMPORTANT!
+        compileOnly(sparkSqlApi)
+        implementation(sparkConnectClient)
+    }
+}
+
+// spark-connect seems to work well with java 17 as client and java 1.8 as server
+// also set gradle and your project sdk to java 17
+kotlin {
+    jvmToolchain {
+        languageVersion = JavaLanguageVersion.of(17)
+    }
+    compilerOptions {
+        jvmTarget = JvmTarget.JVM_17
+    }
+}
+
+tasks.withType<JavaCompile> {
+    sourceCompatibility = JavaVersion.VERSION_17.toString()
+    targetCompatibility = JavaVersion.VERSION_17.toString()
+}
diff --git a/spark-connect-examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/Main.kt b/spark-connect-examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/Main.kt
new file mode 100644
index 00000000..790bad24
--- /dev/null
+++ b/spark-connect-examples/src/main/kotlin/org/jetbrains/kotlinx/spark/examples/Main.kt
@@ -0,0 +1,27 @@
+package org.jetbrains.kotlinx.spark.examples
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.connect.client.REPLClassDirMonitor
+
+// run with `./gradlew run` or set VM options: "--add-opens=java.base/java.nio=ALL-UNNAMED" in the IDE
+fun main() {
+    val spark =
+        SparkSession
+            .builder()
+            .remote("sc://localhost")
+            .create()
+
+    val classFinder = REPLClassDirMonitor("/mnt/data/Projects/kotlin-spark-api/spark-connect-examples/build/classes")
+    spark.registerClassFinder(classFinder)
+    spark.addArtifact("/mnt/data/Projects/kotlin-spark-api/spark-connect-examples/build/libs/spark-connect-examples-2.0.0-SNAPSHOT.jar")
+
+    spark.sql("select 1").show()
+
+    spark.stop()
+}
+
+//@Sparkify
+//data class Person(
+//    val name: String,
+//    val age: Int,
+//)