Create proper temporary directories

mleap-databricks-runtime-testkit/src/main/scala/ml/combust/mleap/databricks/runtime/testkit/TensorFlowTestUtil.scala

@@ -1,6 +1,7 @@
 package ml.combust.mleap.databricks.runtime.testkit
 
 import java.io.File
+import java.nio.file.{Files, Path}
 
 import org.tensorflow
 
@@ -24,9 +25,11 @@ object TensorFlowTestUtil {
     graph
   }
 
-  val baseDir = new File("/tmp/mleap-tensorflow")
-  TensorFlowTestUtil.delete(baseDir)
-  baseDir.mkdirs()
+  val baseDir = {
+    val temp: Path = Files.createTempDirectory("mleap-tensorflow")
+    temp.toFile.deleteOnExit()
+    temp.toAbsolutePath
+  }
 
   def delete(file: File): Array[(String, Boolean)] = {
     Option(file.listFiles).map(_.flatMap(f => delete(f))).getOrElse(Array()) :+ (file.getPath -> file.delete)

mleap-runtime/src/test/scala/ml/combust/mleap/runtime/test/TestUtil.scala

@@ -1,6 +1,7 @@
 package ml.combust.mleap.runtime.test
 
 import java.io.File
+import java.nio.file.{Files, Path}
 
 import ml.combust.mleap.core.regression.DecisionTreeRegressionModel
 import ml.combust.mleap.core.tree.{ContinuousSplit, InternalNode, LeafNode, Node}
@@ -10,9 +11,11 @@ import ml.combust.mleap.core.tree.{ContinuousSplit, InternalNode, LeafNode, Node
   */
 object TestUtil {
 
-  val baseDir = new File("/tmp/mleap-runtime")
-  TestUtil.delete(baseDir)
-  baseDir.mkdirs()
+  val baseDir = {
+    val temp: Path = Files.createTempDirectory("mleap-runtime")
+    temp.toFile.deleteOnExit()
+    temp.toAbsolutePath
+  }
 
   def delete(file: File): Array[(String, Boolean)] = {
     Option(file.listFiles).map(_.flatMap(f => delete(f))).getOrElse(Array()) :+ (file.getPath -> file.delete)

mleap-spark-testkit/src/main/scala/org/apache/spark/ml/parity/SparkParityBase.scala

@@ -1,6 +1,7 @@
 package org.apache.spark.ml.parity
 
 import java.io.File
+import java.nio.file.{Files, Path}
 
 import org.apache.spark.ml.{PipelineModel, Transformer}
 import org.apache.spark.sql.{DataFrame, SparkSession}
@@ -17,7 +18,6 @@ import org.apache.spark.ml.bundle.SparkBundleContext
 import ml.combust.mleap.spark.SparkSupport._
 import ml.combust.mleap.runtime.transformer.Pipeline
 import resource._
-
 import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.Row
 import org.apache.spark.ml.linalg.{Vector, Vectors}
@@ -78,9 +78,14 @@ abstract class SparkParityBase extends FunSpec with BeforeAndAfterAll {
   def serializedModel(transformer: Transformer)
                      (implicit context: SparkBundleContext): File = {
     bundleCache.getOrElse {
-      new File("/tmp/mleap/spark-parity").mkdirs()
-      val file = new File(s"/tmp/mleap/spark-parity/${getClass.getName}.zip")
-      file.delete()
+
+      val tempDirPath = {
+        val temp: Path = Files.createTempDirectory("mleap-spark-parity")
+        temp.toFile.deleteOnExit()
+        temp.toAbsolutePath
+      }
+
+      val file = new File(s"${tempDirPath}/${getClass.getName}.zip")
 
       for(bf <- managed(BundleFile(file))) {
         transformer.writeBundle.format(SerializationFormat.Json).save(bf).get

mleap-tensorflow/src/test/scala/ml/combust/mleap/tensorflow/TestUtil.scala

@@ -1,6 +1,7 @@
 package ml.combust.mleap.tensorflow
 
 import java.io.File
+import java.nio.file.{Files, Path}
 
 import org.tensorflow
 
@@ -24,9 +25,11 @@ object TestUtil {
     graph
   }
 
-  val baseDir = new File("/tmp/mleap-tensorflow")
-  TestUtil.delete(baseDir)
-  baseDir.mkdirs()
+  val baseDir = {
+    val temp: Path = Files.createTempDirectory("mleap-tensorflow")
+    temp.toFile.deleteOnExit()
+    temp.toAbsolutePath
+  }
 
   def delete(file: File): Array[(String, Boolean)] = {
     Option(file.listFiles).map(_.flatMap(f => delete(f))).getOrElse(Array()) :+ (file.getPath -> file.delete)

mleap-xgboost-runtime/src/test/scala/ml/combust/mleap/xgboost/runtime/testing/BundleSerializationUtils.scala

@@ -1,6 +1,7 @@
 package ml.combust.mleap.xgboost.runtime.testing
 
 import java.io.File
+import java.nio.file.{Files, Path}
 
 import ml.combust.bundle.BundleFile
 import ml.combust.bundle.serializer.SerializationFormat
@@ -15,9 +16,13 @@ trait BundleSerializationUtils {
   def serializeModelToMleapBundle(transformer: Transformer): File = {
     import ml.combust.mleap.runtime.MleapSupport._
 
-    new File("/tmp/mleap/xgboost-runtime-parity").mkdirs()
-    val file = new File(s"/tmp/mleap/xgboost-runtime-parity/${this.getClass.getName}.zip")
-    file.delete()
+    val tempDirPath = {
+      val temp: Path = Files.createTempDirectory("xgboost-runtime-parity")
+      temp.toFile.deleteOnExit()
+      temp.toAbsolutePath
+    }
+
+    val file = new File(s"${tempDirPath}/${this.getClass.getName}.zip")
 
     for(bf <- managed(BundleFile(file))) {
       transformer.writeBundle.format(SerializationFormat.Json).save(bf).get

mleap-xgboost-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/mleap/XGBoostClassificationModelParitySpec.scala

@@ -1,6 +1,7 @@
 package ml.dmlc.xgboost4j.scala.spark.mleap
 
 import java.io.File
+import java.nio.file.{Files, Path}
 
 import ml.combust.bundle.BundleFile
 import ml.combust.bundle.serializer.SerializationFormat
@@ -163,8 +164,13 @@ class XGBoostClassificationModelParitySpec extends FunSpec
 
     implicit val sbc = SparkBundleContext.defaultContext.withDataset(transformer.transform(dataset))
 
-    new File("/tmp/mleap/spark-parity").mkdirs()
-    val file = new File(s"/tmp/mleap/spark-parity/${classOf[XGBoostClassificationModelParitySpec].getName}.zip")
+    val tempDirPath = {
+      val temp: Path = Files.createTempDirectory("mleap-spark-parity")
+      temp.toFile.deleteOnExit()
+      temp.toAbsolutePath
+    }
+
+    val file = new File(s"${tempDirPath}/${classOf[XGBoostClassificationModelParitySpec].getName}.zip")
     file.delete()
 
     for(bf <- managed(BundleFile(file))) {

mleap-xgboost-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/mleap/XGBoostRegressionModelParitySpec.scala

@@ -1,6 +1,7 @@
 package ml.dmlc.xgboost4j.scala.spark.mleap
 
 import java.io.File
+import java.nio.file.{Files, Path}
 
 import ml.combust.bundle.BundleFile
 import ml.combust.bundle.serializer.SerializationFormat
@@ -96,9 +97,14 @@ class XGBoostRegressionModelParitySpec extends FunSpec
     implicit val sbc = SparkBundleContext.defaultContext.withDataset(transformer.transform(dataset))
 
     bundleCache.getOrElse {
-      new File("/tmp/mleap/spark-parity").mkdirs()
-      val file = new File(s"/tmp/mleap/spark-parity/${classOf[XGBoostRegressionModelParitySpec].getName}.zip")
-      file.delete()
+
+      val tempDirPath = {
+        val temp: Path = Files.createTempDirectory("mleap-spark-parity")
+        temp.toFile.deleteOnExit()
+        temp.toAbsolutePath
+      }
+
+      val file = new File(s"${tempDirPath}/${classOf[XGBoostRegressionModelParitySpec].getName}.zip")
 
       for(bf <- managed(BundleFile(file))) {
         transformer.writeBundle.format(SerializationFormat.Json).save(bf).get