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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.
 */

package org.apache.spark.sql.execution.python

import org.apache.spark.api.python.PythonFunction
import org.apache.spark.sql.catalyst.expressions.{Expression, NonSQLExpression, Unevaluable, UserDefinedExpression}
import org.apache.spark.sql.types.DataType

/**
 * A serialized version of a Python lambda function.
 */
case class PythonUDF(
    name: String,
    func: PythonFunction,
    dataType: DataType,
    children: Seq[Expression],
    evalType: Int,
    udfDeterministic: Boolean)
  extends Expression with Unevaluable with NonSQLExpression with UserDefinedExpression {

  override lazy val deterministic: Boolean = udfDeterministic && children.forall(_.deterministic)

  override def toString: String = s"$name(${children.mkString(", ")})"

  override def nullable: Boolean = true
}




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