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# Dynamic Compilation and Interpretation
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Dynamic Scala compilation and interpretation capabilities that enable runtime code generation, interactive development, and flexible application behavior modification within Spark applications running on the CDAP platform.
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## Capabilities
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### Default Spark Compiler
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Scala compiler implementation that provides dynamic compilation capabilities for runtime code generation and flexible application behavior.
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```scala { .api }
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/**
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* Default compiler for dynamic Scala code compilation in Spark
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* Enables runtime compilation of Scala code within CDAP Spark applications
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*/
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class DefaultSparkCompiler extends SparkCompiler {
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/**
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* Compiles Scala code and returns the resulting class
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* @param code Scala source code to compile
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* @return Option containing the compiled class, or None if compilation fails
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* @throws CompilationException if compilation errors occur
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*/
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def compile(code: String): Option[Class[_]]
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/**
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* Compiles Scala code with a specific class name
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* @param className Fully qualified name for the compiled class
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* @param code Scala source code to compile
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* @return Option containing the compiled class, or None if compilation fails
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* @throws CompilationException if compilation errors occur
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*/
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def compileClass(className: String, code: String): Option[Class[_]]
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/**
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* Compiles multiple Scala source files
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* @param sources Map of class names to source code
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* @return Map of class names to compiled classes
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* @throws CompilationException if compilation errors occur
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*/
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def compileClasses(sources: Map[String, String]): Map[String, Class[_]]
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/**
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* Sets the compiler class path
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* @param classpath Array of classpath entries
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*/
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def setClassPath(classpath: Array[String]): Unit
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/**
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* Gets the current compiler settings
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* @return CompilerSettings containing current configuration
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*/
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def getSettings: CompilerSettings
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/**
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* Validates Scala code syntax without compilation
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* @param code Scala source code to validate
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* @return ValidationResult containing validation status and errors
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*/
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def validate(code: String): ValidationResult
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}
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```
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### Default Spark Interpreter
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Scala interpreter implementation that provides interactive code execution and REPL-like capabilities within Spark applications.
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```scala { .api }
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/**
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* Default interpreter for dynamic Scala code execution in Spark
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* Provides REPL-like capabilities for interactive development
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*/
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class DefaultSparkInterpreter extends SparkInterpreter {
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/**
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* Interprets and executes Scala code
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* @param code Scala code to interpret and execute
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* @throws InterpretationException if interpretation or execution fails
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*/
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def interpret(code: String): Unit
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/**
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* Interprets code and returns the result
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* @param code Scala expression to evaluate
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* @tparam T Expected return type
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* @return Result of the expression evaluation
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* @throws InterpretationException if interpretation fails
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*/
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def interpretAndReturn[T](code: String): T
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/**
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* Binds a variable to the interpreter context
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* @param name Variable name
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* @param value Variable value
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* @tparam T Type of the value
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*/
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def bind[T](name: String, value: T): Unit
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/**
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* Binds a variable with explicit type
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* @param name Variable name
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* @param tpe Type information
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* @param value Variable value
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*/
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def bind(name: String, tpe: String, value: Any): Unit
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/**
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* Resets the interpreter state
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* Clears all bindings and compiled code
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*/
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def reset(): Unit
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/**
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* Gets a bound variable value
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* @param name Variable name
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* @tparam T Expected type
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* @return Variable value
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* @throws NoSuchElementException if variable not found
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*/
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def get[T](name: String): T
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/**
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* Checks if a variable is bound
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* @param name Variable name
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* @return true if variable exists in interpreter context
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*/
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def isBound(name: String): Boolean
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/**
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* Gets all bound variable names
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* @return Set of bound variable names
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*/
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def getBoundNames: Set[String]
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}
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```
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### Spark Compiler Interface
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Base interface defining the contract for Spark compiler implementations.
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```scala { .api }
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/**
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* Interface for Spark compiler implementations
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* Defines the contract for dynamic Scala compilation
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*/
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trait SparkCompiler {
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/**
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* Compiles Scala source code
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* @param code Source code to compile
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* @return Option containing compiled class or None if compilation fails
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*/
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def compile(code: String): Option[Class[_]]
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/**
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* Compiles code with specific class name
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* @param className Target class name
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* @param code Source code to compile
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* @return Option containing compiled class or None if compilation fails
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*/
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def compileClass(className: String, code: String): Option[Class[_]]
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/**
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* Gets compiler configuration settings
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* @return Current compiler settings
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*/
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def getSettings: CompilerSettings
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}
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```
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### Spark Interpreter Interface
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Base interface defining the contract for Spark interpreter implementations.
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```scala { .api }
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/**
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* Interface for Spark interpreter implementations
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* Defines the contract for interactive Scala code execution
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*/
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trait SparkInterpreter {
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/**
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* Interprets and executes Scala code
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* @param code Code to interpret
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*/
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def interpret(code: String): Unit
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/**
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* Binds a variable to interpreter context
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* @param name Variable name
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* @param value Variable value
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*/
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def bind(name: String, value: Any): Unit
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/**
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* Resets interpreter state
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*/
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def reset(): Unit
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}
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```
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## Usage Examples
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**Dynamic Compilation:**
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```scala
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import co.cask.cdap.app.runtime.spark.dynamic.DefaultSparkCompiler
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// Create compiler instance
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val compiler = new DefaultSparkCompiler()
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// Set up classpath
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compiler.setClassPath(Array(
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"/path/to/spark-core.jar",
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"/path/to/cdap-api.jar"
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))
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// Compile simple class
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val code = """
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class DynamicTransform {
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def transform(input: String): String = {
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input.toUpperCase.reverse
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}
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}
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"""
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compiler.compile(code) match {
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case Some(clazz) =>
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// Create instance and use
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val instance = clazz.newInstance()
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val method = clazz.getMethod("transform", classOf[String])
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val result = method.invoke(instance, "hello world")
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println(s"Result: $result") // Result: DLROW OLLEH
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case None =>
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println("Compilation failed")
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}
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// Compile with specific class name
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val transformerCode = """
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package com.example
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class CustomTransformer(multiplier: Int) {
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def process(values: Array[Int]): Array[Int] = {
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values.map(_ * multiplier)
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}
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}
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"""
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compiler.compileClass("com.example.CustomTransformer", transformerCode) match {
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case Some(clazz) =>
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val constructor = clazz.getConstructor(classOf[Int])
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val transformer = constructor.newInstance(Int.box(2))
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// Use transformer...
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case None =>
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println("Compilation failed")
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}
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```
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**Interactive Interpretation:**
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```scala
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import co.cask.cdap.app.runtime.spark.dynamic.DefaultSparkInterpreter
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// Create interpreter instance
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val interpreter = new DefaultSparkInterpreter()
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// Bind variables
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interpreter.bind("sparkContext", sparkContext)
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interpreter.bind("inputData", Array(1, 2, 3, 4, 5))
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// Execute code interactively
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interpreter.interpret("val doubled = inputData.map(_ * 2)")
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interpreter.interpret("println(s\"Doubled: ${doubled.mkString(', ')}\")")
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// Get results back
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val result = interpreter.interpretAndReturn[Array[Int]]("doubled")
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println(s"Result array: ${result.mkString(", ")}")
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// Check bindings
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if (interpreter.isBound("doubled")) {
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val boundValue = interpreter.get[Array[Int]]("doubled")
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println(s"Bound value: ${boundValue.mkString(", ")}")
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}
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// Reset interpreter
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interpreter.reset()
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```
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**Spark Integration Example:**
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```scala
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import org.apache.spark.SparkContext
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import co.cask.cdap.app.runtime.spark.dynamic.{DefaultSparkCompiler, DefaultSparkInterpreter}
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// Create Spark RDD processing with dynamic code
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def processWithDynamicCode(sc: SparkContext,
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data: Array[String],
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transformCode: String): Array[String] = {
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val compiler = new DefaultSparkCompiler()
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// Compile transform function
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val wrapperCode = s"""
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class DynamicProcessor {
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def process(input: String): String = {
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$transformCode
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}
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}
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"""
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compiler.compile(wrapperCode) match {
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case Some(clazz) =>
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// Create RDD and apply dynamic transformation
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val rdd = sc.parallelize(data)
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val transformedRDD = rdd.map { item =>
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val processor = clazz.newInstance()
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val method = clazz.getMethod("process", classOf[String])
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method.invoke(processor, item).asInstanceOf[String]
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}
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transformedRDD.collect()
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case None =>
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throw new RuntimeException("Failed to compile transformation code")
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}
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}
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// Usage
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val inputData = Array("apple", "banana", "cherry")
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val transformCode = "input.toUpperCase + \"_PROCESSED\""
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val results = processWithDynamicCode(sparkContext, inputData, transformCode)
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// Results: Array("APPLE_PROCESSED", "BANANA_PROCESSED", "CHERRY_PROCESSED")
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```
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**REPL-like Development:**
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```scala
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import co.cask.cdap.app.runtime.spark.dynamic.DefaultSparkInterpreter
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// Create development environment
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class SparkREPL(sparkContext: SparkContext) {
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private val interpreter = new DefaultSparkInterpreter()
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// Initialize with common imports and bindings
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interpreter.interpret("import org.apache.spark.SparkContext")
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interpreter.interpret("import org.apache.spark.rdd.RDD")
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interpreter.bind("sc", sparkContext)
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def execute(code: String): Unit = {
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try {
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interpreter.interpret(code)
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} catch {
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case e: Exception => println(s"Error: ${e.getMessage}")
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}
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}
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def bindData(name: String, data: Any): Unit = {
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interpreter.bind(name, data)
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}
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def getResult[T](expression: String): T = {
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interpreter.interpretAndReturn[T](expression)
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}
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}
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// Usage
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val repl = new SparkREPL(sparkContext)
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// Bind data
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repl.bindData("numbers", Array(1, 2, 3, 4, 5))
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// Execute transformations
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repl.execute("val rdd = sc.parallelize(numbers)")
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repl.execute("val squares = rdd.map(x => x * x)")
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repl.execute("val sum = squares.reduce(_ + _)")
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// Get results
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val finalSum = repl.getResult[Int]("sum")
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println(s"Sum of squares: $finalSum") // Sum of squares: 55
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```
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## Types
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```scala { .api }
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/**
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* Compiler configuration settings
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*/
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case class CompilerSettings(
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/**
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* Classpath entries for compilation
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*/
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classpath: Array[String],
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/**
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* Output directory for compiled classes
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*/
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outputDirectory: String,
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/**
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* Scala compiler options
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*/
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options: Map[String, String],
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/**
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* Maximum compilation time in milliseconds
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*/
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maxCompilationTime: Long
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)
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/**
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* Result of code validation
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*/
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case class ValidationResult(
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/**
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* Whether the code is syntactically valid
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*/
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isValid: Boolean,
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/**
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* Compilation errors if any
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*/
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errors: List[CompilationError],
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/**
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* Compilation warnings if any
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*/
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warnings: List[CompilationWarning]
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)
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/**
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* Compilation error information
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*/
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case class CompilationError(
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/**
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* Error message
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*/
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message: String,
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/**
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* Line number where error occurred
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*/
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line: Int,
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/**
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* Column number where error occurred
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*/
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column: Int,
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/**
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* Severity level of the error
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*/
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severity: ErrorSeverity
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)
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/**
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* Compilation warning information
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*/
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case class CompilationWarning(
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/**
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* Warning message
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*/
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message: String,
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/**
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* Line number where warning occurred
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*/
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line: Int,
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/**
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* Column number where warning occurred
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*/
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column: Int
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)
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/**
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* Error severity levels
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*/
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sealed trait ErrorSeverity
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object ErrorSeverity {
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case object Info extends ErrorSeverity
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case object Warning extends ErrorSeverity
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case object Error extends ErrorSeverity
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case object Fatal extends ErrorSeverity
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}
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/**
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* Exception thrown during compilation
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*/
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class CompilationException(message: String, cause: Throwable = null) extends Exception(message, cause)
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/**
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* Exception thrown during interpretation
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*/
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class InterpretationException(message: String, cause: Throwable = null) extends Exception(message, cause)
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```