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Posted to commits@spark.apache.org by an...@apache.org on 2015/05/29 23:03:26 UTC
[3/6] spark git commit: [SPARK-7558] Demarcate tests in unit-tests.log
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala
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diff --git a/mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala
index 3efffbb..7891156 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala
@@ -17,8 +17,7 @@
package org.apache.spark.ml.regression
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.ml.impl.TreeTests
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.tree.{EnsembleTestHelper, RandomForest => OldRandomForest}
@@ -31,7 +30,7 @@ import org.apache.spark.sql.DataFrame
/**
* Test suite for [[RandomForestRegressor]].
*/
-class RandomForestRegressorSuite extends FunSuite with MLlibTestSparkContext {
+class RandomForestRegressorSuite extends SparkFunSuite with MLlibTestSparkContext {
import RandomForestRegressorSuite.compareAPIs
@@ -98,7 +97,7 @@ class RandomForestRegressorSuite extends FunSuite with MLlibTestSparkContext {
*/
}
-private object RandomForestRegressorSuite extends FunSuite {
+private object RandomForestRegressorSuite extends SparkFunSuite {
/**
* Train 2 models on the given dataset, one using the old API and one using the new API.
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala
index 60d8bfe..5ba469c 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala
@@ -17,7 +17,7 @@
package org.apache.spark.ml.tuning
-import org.scalatest.FunSuite
+import org.apache.spark.SparkFunSuite
import org.apache.spark.ml.{Estimator, Model}
import org.apache.spark.ml.classification.LogisticRegression
@@ -29,7 +29,7 @@ import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.sql.{DataFrame, SQLContext}
import org.apache.spark.sql.types.StructType
-class CrossValidatorSuite extends FunSuite with MLlibTestSparkContext {
+class CrossValidatorSuite extends SparkFunSuite with MLlibTestSparkContext {
@transient var dataset: DataFrame = _
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/ml/tuning/ParamGridBuilderSuite.scala
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diff --git a/mllib/src/test/scala/org/apache/spark/ml/tuning/ParamGridBuilderSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/tuning/ParamGridBuilderSuite.scala
index 20aa100..810b700 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/tuning/ParamGridBuilderSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/tuning/ParamGridBuilderSuite.scala
@@ -19,11 +19,10 @@ package org.apache.spark.ml.tuning
import scala.collection.mutable
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.ml.param.{ParamMap, TestParams}
-class ParamGridBuilderSuite extends FunSuite {
+class ParamGridBuilderSuite extends SparkFunSuite {
val solver = new TestParams()
import solver.{inputCol, maxIter}
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/api/python/PythonMLLibAPISuite.scala
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diff --git a/mllib/src/test/scala/org/apache/spark/mllib/api/python/PythonMLLibAPISuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/api/python/PythonMLLibAPISuite.scala
index 3d362b5..5994441 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/api/python/PythonMLLibAPISuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/api/python/PythonMLLibAPISuite.scala
@@ -17,13 +17,12 @@
package org.apache.spark.mllib.api.python
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{DenseMatrix, Matrices, Vectors, SparseMatrix}
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.recommendation.Rating
-class PythonMLLibAPISuite extends FunSuite {
+class PythonMLLibAPISuite extends SparkFunSuite {
SerDe.initialize()
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
index b1014ab..e8f3d0c 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
@@ -21,9 +21,9 @@ import scala.collection.JavaConversions._
import scala.util.Random
import scala.util.control.Breaks._
-import org.scalatest.FunSuite
import org.scalatest.Matchers
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{Vector, Vectors}
import org.apache.spark.mllib.regression._
import org.apache.spark.mllib.util.{LocalClusterSparkContext, MLlibTestSparkContext}
@@ -169,7 +169,7 @@ object LogisticRegressionSuite {
}
-class LogisticRegressionSuite extends FunSuite with MLlibTestSparkContext with Matchers {
+class LogisticRegressionSuite extends SparkFunSuite with MLlibTestSparkContext with Matchers {
def validatePrediction(
predictions: Seq[Double],
input: Seq[LabeledPoint],
@@ -541,7 +541,7 @@ class LogisticRegressionSuite extends FunSuite with MLlibTestSparkContext with M
}
-class LogisticRegressionClusterSuite extends FunSuite with LocalClusterSparkContext {
+class LogisticRegressionClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small in both training and prediction using SGD optimizer") {
val m = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/classification/NaiveBayesSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/classification/NaiveBayesSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/NaiveBayesSuite.scala
index ea40b41..f7fc873 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/classification/NaiveBayesSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/NaiveBayesSuite.scala
@@ -21,9 +21,8 @@ import scala.util.Random
import breeze.linalg.{DenseMatrix => BDM, DenseVector => BDV, argmax => brzArgmax, sum => brzSum}
import breeze.stats.distributions.{Multinomial => BrzMultinomial}
-import org.scalatest.FunSuite
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.util.{LocalClusterSparkContext, MLlibTestSparkContext}
@@ -86,7 +85,7 @@ object NaiveBayesSuite {
pi = Array(0.2, 0.8), theta = Array(Array(0.1, 0.3, 0.6), Array(0.2, 0.4, 0.4)), Multinomial)
}
-class NaiveBayesSuite extends FunSuite with MLlibTestSparkContext {
+class NaiveBayesSuite extends SparkFunSuite with MLlibTestSparkContext {
import NaiveBayes.{Multinomial, Bernoulli}
@@ -286,7 +285,7 @@ class NaiveBayesSuite extends FunSuite with MLlibTestSparkContext {
}
}
-class NaiveBayesClusterSuite extends FunSuite with LocalClusterSparkContext {
+class NaiveBayesClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small in both training and prediction") {
val m = 10
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala
index 90f9cec..b1d78cb 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala
@@ -21,9 +21,8 @@ import scala.collection.JavaConversions._
import scala.util.Random
import org.jblas.DoubleMatrix
-import org.scalatest.FunSuite
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression._
import org.apache.spark.mllib.util.{LocalClusterSparkContext, MLlibTestSparkContext}
@@ -62,7 +61,7 @@ object SVMSuite {
}
-class SVMSuite extends FunSuite with MLlibTestSparkContext {
+class SVMSuite extends SparkFunSuite with MLlibTestSparkContext {
def validatePrediction(predictions: Seq[Double], input: Seq[LabeledPoint]) {
val numOffPredictions = predictions.zip(input).count { case (prediction, expected) =>
@@ -229,7 +228,7 @@ class SVMSuite extends FunSuite with MLlibTestSparkContext {
}
}
-class SVMClusterSuite extends FunSuite with LocalClusterSparkContext {
+class SVMClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small in both training and prediction") {
val m = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/classification/StreamingLogisticRegressionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/classification/StreamingLogisticRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/StreamingLogisticRegressionSuite.scala
index 5683b55..e98b61e 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/classification/StreamingLogisticRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/StreamingLogisticRegressionSuite.scala
@@ -19,15 +19,14 @@ package org.apache.spark.mllib.classification
import scala.collection.mutable.ArrayBuffer
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.streaming.TestSuiteBase
-class StreamingLogisticRegressionSuite extends FunSuite with TestSuiteBase {
+class StreamingLogisticRegressionSuite extends SparkFunSuite with TestSuiteBase {
// use longer wait time to ensure job completion
override def maxWaitTimeMillis: Int = 30000
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/clustering/GaussianMixtureSuite.scala
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diff --git a/mllib/src/test/scala/org/apache/spark/mllib/clustering/GaussianMixtureSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/clustering/GaussianMixtureSuite.scala
index f356ffa..a3b085e 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/clustering/GaussianMixtureSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/clustering/GaussianMixtureSuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.clustering
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{Vectors, Matrices}
import org.apache.spark.mllib.stat.distribution.MultivariateGaussian
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.util.Utils
-class GaussianMixtureSuite extends FunSuite with MLlibTestSparkContext {
+class GaussianMixtureSuite extends SparkFunSuite with MLlibTestSparkContext {
test("single cluster") {
val data = sc.parallelize(Array(
Vectors.dense(6.0, 9.0),
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala
index 877e6dc..0dbbd71 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/clustering/KMeansSuite.scala
@@ -19,14 +19,13 @@ package org.apache.spark.mllib.clustering
import scala.util.Random
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vector, Vectors}
import org.apache.spark.mllib.util.{LocalClusterSparkContext, MLlibTestSparkContext}
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.util.Utils
-class KMeansSuite extends FunSuite with MLlibTestSparkContext {
+class KMeansSuite extends SparkFunSuite with MLlibTestSparkContext {
import org.apache.spark.mllib.clustering.KMeans.{K_MEANS_PARALLEL, RANDOM}
@@ -281,7 +280,7 @@ class KMeansSuite extends FunSuite with MLlibTestSparkContext {
}
}
-object KMeansSuite extends FunSuite {
+object KMeansSuite extends SparkFunSuite {
def createModel(dim: Int, k: Int, isSparse: Boolean): KMeansModel = {
val singlePoint = isSparse match {
case true =>
@@ -305,7 +304,7 @@ object KMeansSuite extends FunSuite {
}
}
-class KMeansClusterSuite extends FunSuite with LocalClusterSparkContext {
+class KMeansClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small in both training and prediction") {
val m = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/clustering/LDASuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/clustering/LDASuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/clustering/LDASuite.scala
index d5b7d96..406affa 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/clustering/LDASuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/clustering/LDASuite.scala
@@ -19,13 +19,12 @@ package org.apache.spark.mllib.clustering
import breeze.linalg.{DenseMatrix => BDM}
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{Vector, DenseMatrix, Matrix, Vectors}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class LDASuite extends FunSuite with MLlibTestSparkContext {
+class LDASuite extends SparkFunSuite with MLlibTestSparkContext {
import LDASuite._
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/clustering/PowerIterationClusteringSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/clustering/PowerIterationClusteringSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/clustering/PowerIterationClusteringSuite.scala
index 556842f..3903712 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/clustering/PowerIterationClusteringSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/clustering/PowerIterationClusteringSuite.scala
@@ -20,15 +20,13 @@ package org.apache.spark.mllib.clustering
import scala.collection.mutable
import scala.util.Random
-import org.scalatest.FunSuite
-
-import org.apache.spark.SparkContext
+import org.apache.spark.{SparkContext, SparkFunSuite}
import org.apache.spark.graphx.{Edge, Graph}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.util.Utils
-class PowerIterationClusteringSuite extends FunSuite with MLlibTestSparkContext {
+class PowerIterationClusteringSuite extends SparkFunSuite with MLlibTestSparkContext {
import org.apache.spark.mllib.clustering.PowerIterationClustering._
@@ -130,7 +128,7 @@ class PowerIterationClusteringSuite extends FunSuite with MLlibTestSparkContext
}
}
-object PowerIterationClusteringSuite extends FunSuite {
+object PowerIterationClusteringSuite extends SparkFunSuite {
def createModel(sc: SparkContext, k: Int, nPoints: Int): PowerIterationClusteringModel = {
val assignments = sc.parallelize(
(0 until nPoints).map(p => PowerIterationClustering.Assignment(p, Random.nextInt(k))))
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/clustering/StreamingKMeansSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/clustering/StreamingKMeansSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/clustering/StreamingKMeansSuite.scala
index 13f9b17..ac01622 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/clustering/StreamingKMeansSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/clustering/StreamingKMeansSuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.clustering
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{Vector, Vectors}
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.streaming.TestSuiteBase
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.util.random.XORShiftRandom
-class StreamingKMeansSuite extends FunSuite with TestSuiteBase {
+class StreamingKMeansSuite extends SparkFunSuite with TestSuiteBase {
override def maxWaitTimeMillis: Int = 30000
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/evaluation/AreaUnderCurveSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/AreaUnderCurveSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/AreaUnderCurveSuite.scala
index 7984763..87ccc7e 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/AreaUnderCurveSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/AreaUnderCurveSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.evaluation
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class AreaUnderCurveSuite extends FunSuite with MLlibTestSparkContext {
+class AreaUnderCurveSuite extends SparkFunSuite with MLlibTestSparkContext {
test("auc computation") {
val curve = Seq((0.0, 0.0), (1.0, 1.0), (2.0, 3.0), (3.0, 0.0))
val auc = 4.0
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetricsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetricsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetricsSuite.scala
index e0224f9..99d52fa 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetricsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetricsSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.evaluation
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class BinaryClassificationMetricsSuite extends FunSuite with MLlibTestSparkContext {
+class BinaryClassificationMetricsSuite extends SparkFunSuite with MLlibTestSparkContext {
private def areWithinEpsilon(x: (Double, Double)): Boolean = x._1 ~= (x._2) absTol 1E-5
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala
index 7dc4f3c..d55bc8c 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.evaluation
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Matrices
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class MulticlassMetricsSuite extends FunSuite with MLlibTestSparkContext {
+class MulticlassMetricsSuite extends SparkFunSuite with MLlibTestSparkContext {
test("Multiclass evaluation metrics") {
/*
* Confusion matrix for 3-class classification with total 9 instances:
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MultilabelMetricsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MultilabelMetricsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MultilabelMetricsSuite.scala
index 2537dd6..f3b19ae 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MultilabelMetricsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MultilabelMetricsSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.evaluation
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.rdd.RDD
-class MultilabelMetricsSuite extends FunSuite with MLlibTestSparkContext {
+class MultilabelMetricsSuite extends SparkFunSuite with MLlibTestSparkContext {
test("Multilabel evaluation metrics") {
/*
* Documents true labels (5x class0, 3x class1, 4x class2):
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RankingMetricsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RankingMetricsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RankingMetricsSuite.scala
index 609eed9..c0924a2 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RankingMetricsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RankingMetricsSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.evaluation
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class RankingMetricsSuite extends FunSuite with MLlibTestSparkContext {
+class RankingMetricsSuite extends SparkFunSuite with MLlibTestSparkContext {
test("Ranking metrics: map, ndcg") {
val predictionAndLabels = sc.parallelize(
Seq(
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RegressionMetricsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RegressionMetricsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RegressionMetricsSuite.scala
index 3aa7324..9de2bdb 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RegressionMetricsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/evaluation/RegressionMetricsSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.evaluation
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class RegressionMetricsSuite extends FunSuite with MLlibTestSparkContext {
+class RegressionMetricsSuite extends SparkFunSuite with MLlibTestSparkContext {
test("regression metrics") {
val predictionAndObservations = sc.parallelize(
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/ChiSqSelectorSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/ChiSqSelectorSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/ChiSqSelectorSuite.scala
index 747f591..889727f 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/ChiSqSelectorSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/ChiSqSelectorSuite.scala
@@ -17,13 +17,12 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class ChiSqSelectorSuite extends FunSuite with MLlibTestSparkContext {
+class ChiSqSelectorSuite extends SparkFunSuite with MLlibTestSparkContext {
/*
* Contingency tables
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/ElementwiseProductSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/ElementwiseProductSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/ElementwiseProductSuite.scala
index f3a482a..ccbf8a9 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/ElementwiseProductSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/ElementwiseProductSuite.scala
@@ -17,13 +17,12 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vectors}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class ElementwiseProductSuite extends FunSuite with MLlibTestSparkContext {
+class ElementwiseProductSuite extends SparkFunSuite with MLlibTestSparkContext {
test("elementwise (hadamard) product should properly apply vector to dense data set") {
val denseData = Array(
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/HashingTFSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/HashingTFSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/HashingTFSuite.scala
index 0c4dfb7..cf279c0 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/HashingTFSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/HashingTFSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class HashingTFSuite extends FunSuite with MLlibTestSparkContext {
+class HashingTFSuite extends SparkFunSuite with MLlibTestSparkContext {
test("hashing tf on a single doc") {
val hashingTF = new HashingTF(1000)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/IDFSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/IDFSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/IDFSuite.scala
index 0a5cad7..2116363 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/IDFSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/IDFSuite.scala
@@ -17,13 +17,12 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vectors, Vector}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class IDFSuite extends FunSuite with MLlibTestSparkContext {
+class IDFSuite extends SparkFunSuite with MLlibTestSparkContext {
test("idf") {
val n = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/NormalizerSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/NormalizerSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/NormalizerSuite.scala
index 5c4af2b..34122d6 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/NormalizerSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/NormalizerSuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
import breeze.linalg.{norm => brzNorm}
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vectors}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class NormalizerSuite extends FunSuite with MLlibTestSparkContext {
+class NormalizerSuite extends SparkFunSuite with MLlibTestSparkContext {
val data = Array(
Vectors.sparse(3, Seq((0, -2.0), (1, 2.3))),
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/PCASuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/PCASuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/PCASuite.scala
index 758af58..e57f491 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/PCASuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/PCASuite.scala
@@ -17,13 +17,12 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.linalg.distributed.RowMatrix
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class PCASuite extends FunSuite with MLlibTestSparkContext {
+class PCASuite extends SparkFunSuite with MLlibTestSparkContext {
private val data = Array(
Vectors.sparse(5, Seq((1, 1.0), (3, 7.0))),
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/StandardScalerSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/StandardScalerSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/StandardScalerSuite.scala
index 1eb9918..6ab2fa6 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/StandardScalerSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/StandardScalerSuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vector, Vectors}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.mllib.stat.{MultivariateStatisticalSummary, MultivariateOnlineSummarizer}
import org.apache.spark.rdd.RDD
-class StandardScalerSuite extends FunSuite with MLlibTestSparkContext {
+class StandardScalerSuite extends SparkFunSuite with MLlibTestSparkContext {
// When the input data is all constant, the variance is zero. The standardization against
// zero variance is not well-defined, but we decide to just set it into zero here.
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
index 98a98a7..b681836 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/feature/Word2VecSuite.scala
@@ -17,14 +17,13 @@
package org.apache.spark.mllib.feature
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.util.Utils
-class Word2VecSuite extends FunSuite with MLlibTestSparkContext {
+class Word2VecSuite extends SparkFunSuite with MLlibTestSparkContext {
// TODO: add more tests
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPGrowthSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPGrowthSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPGrowthSuite.scala
index bd5b9cc..66ae354 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPGrowthSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPGrowthSuite.scala
@@ -16,11 +16,10 @@
*/
package org.apache.spark.mllib.fpm
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class FPGrowthSuite extends FunSuite with MLlibTestSparkContext {
+class FPGrowthSuite extends SparkFunSuite with MLlibTestSparkContext {
test("FP-Growth using String type") {
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPTreeSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPTreeSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPTreeSuite.scala
index 04017f6..a56d7b3 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPTreeSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/fpm/FPTreeSuite.scala
@@ -19,11 +19,10 @@ package org.apache.spark.mllib.fpm
import scala.language.existentials
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class FPTreeSuite extends FunSuite with MLlibTestSparkContext {
+class FPTreeSuite extends SparkFunSuite with MLlibTestSparkContext {
test("add transaction") {
val tree = new FPTree[String]
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/impl/PeriodicGraphCheckpointerSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/impl/PeriodicGraphCheckpointerSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/impl/PeriodicGraphCheckpointerSuite.scala
index 699f009..d34888a 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/impl/PeriodicGraphCheckpointerSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/impl/PeriodicGraphCheckpointerSuite.scala
@@ -17,18 +17,16 @@
package org.apache.spark.mllib.impl
-import org.scalatest.FunSuite
-
import org.apache.hadoop.fs.{FileSystem, Path}
-import org.apache.spark.SparkContext
+import org.apache.spark.{SparkContext, SparkFunSuite}
import org.apache.spark.graphx.{Edge, Graph}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.storage.StorageLevel
import org.apache.spark.util.Utils
-class PeriodicGraphCheckpointerSuite extends FunSuite with MLlibTestSparkContext {
+class PeriodicGraphCheckpointerSuite extends SparkFunSuite with MLlibTestSparkContext {
import PeriodicGraphCheckpointerSuite._
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/BLASSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/BLASSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/BLASSuite.scala
index 64ecd12..bcc2e65 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/BLASSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/BLASSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.linalg
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.mllib.linalg.BLAS._
-class BLASSuite extends FunSuite {
+class BLASSuite extends SparkFunSuite {
test("copy") {
val sx = Vectors.sparse(4, Array(0, 2), Array(1.0, -2.0))
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeMatrixConversionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeMatrixConversionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeMatrixConversionSuite.scala
index 2031032..dc04258 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeMatrixConversionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeMatrixConversionSuite.scala
@@ -17,11 +17,11 @@
package org.apache.spark.mllib.linalg
-import org.scalatest.FunSuite
-
import breeze.linalg.{DenseMatrix => BDM, CSCMatrix => BSM}
-class BreezeMatrixConversionSuite extends FunSuite {
+import org.apache.spark.SparkFunSuite
+
+class BreezeMatrixConversionSuite extends SparkFunSuite {
test("dense matrix to breeze") {
val mat = Matrices.dense(3, 2, Array(0.0, 1.0, 2.0, 3.0, 4.0, 5.0))
val breeze = mat.toBreeze.asInstanceOf[BDM[Double]]
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeVectorConversionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeVectorConversionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeVectorConversionSuite.scala
index 8abdac7..3772c92 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeVectorConversionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/BreezeVectorConversionSuite.scala
@@ -17,14 +17,14 @@
package org.apache.spark.mllib.linalg
-import org.scalatest.FunSuite
-
import breeze.linalg.{DenseVector => BDV, SparseVector => BSV}
+import org.apache.spark.SparkFunSuite
+
/**
* Test Breeze vector conversions.
*/
-class BreezeVectorConversionSuite extends FunSuite {
+class BreezeVectorConversionSuite extends SparkFunSuite {
val arr = Array(0.1, 0.2, 0.3, 0.4)
val n = 20
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala
index 86119ec..8dbb70f 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/MatricesSuite.scala
@@ -20,13 +20,13 @@ package org.apache.spark.mllib.linalg
import java.util.Random
import org.mockito.Mockito.when
-import org.scalatest.FunSuite
import org.scalatest.mock.MockitoSugar._
import scala.collection.mutable.{Map => MutableMap}
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.TestingUtils._
-class MatricesSuite extends FunSuite {
+class MatricesSuite extends SparkFunSuite {
test("dense matrix construction") {
val m = 3
val n = 2
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/VectorsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/VectorsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/VectorsSuite.scala
index 24755e9..c6d29dc 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/VectorsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/VectorsSuite.scala
@@ -20,12 +20,11 @@ package org.apache.spark.mllib.linalg
import scala.util.Random
import breeze.linalg.{DenseMatrix => BDM, squaredDistance => breezeSquaredDistance}
-import org.scalatest.FunSuite
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.mllib.util.TestingUtils._
-class VectorsSuite extends FunSuite {
+class VectorsSuite extends SparkFunSuite {
val arr = Array(0.1, 0.0, 0.3, 0.4)
val n = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/BlockMatrixSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/BlockMatrixSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/BlockMatrixSuite.scala
index a583361..93fe04c 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/BlockMatrixSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/BlockMatrixSuite.scala
@@ -20,14 +20,13 @@ package org.apache.spark.mllib.linalg.distributed
import java.{util => ju}
import breeze.linalg.{DenseMatrix => BDM}
-import org.scalatest.FunSuite
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.mllib.linalg.{SparseMatrix, DenseMatrix, Matrices, Matrix}
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class BlockMatrixSuite extends FunSuite with MLlibTestSparkContext {
+class BlockMatrixSuite extends SparkFunSuite with MLlibTestSparkContext {
val m = 5
val n = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/CoordinateMatrixSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/CoordinateMatrixSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/CoordinateMatrixSuite.scala
index 04b36a9..f3728cd 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/CoordinateMatrixSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/CoordinateMatrixSuite.scala
@@ -17,14 +17,13 @@
package org.apache.spark.mllib.linalg.distributed
-import org.scalatest.FunSuite
-
import breeze.linalg.{DenseMatrix => BDM}
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.linalg.Vectors
-class CoordinateMatrixSuite extends FunSuite with MLlibTestSparkContext {
+class CoordinateMatrixSuite extends SparkFunSuite with MLlibTestSparkContext {
val m = 5
val n = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/IndexedRowMatrixSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/IndexedRowMatrixSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/IndexedRowMatrixSuite.scala
index 2ab53cc..4a7b99a 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/IndexedRowMatrixSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/IndexedRowMatrixSuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.linalg.distributed
-import org.scalatest.FunSuite
-
import breeze.linalg.{diag => brzDiag, DenseMatrix => BDM, DenseVector => BDV}
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.rdd.RDD
import org.apache.spark.mllib.linalg.{Matrices, Vectors}
-class IndexedRowMatrixSuite extends FunSuite with MLlibTestSparkContext {
+class IndexedRowMatrixSuite extends SparkFunSuite with MLlibTestSparkContext {
val m = 4
val n = 3
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/RowMatrixSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/RowMatrixSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/RowMatrixSuite.scala
index 27bb19f..b6cb53d 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/RowMatrixSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/RowMatrixSuite.scala
@@ -20,12 +20,12 @@ package org.apache.spark.mllib.linalg.distributed
import scala.util.Random
import breeze.linalg.{DenseVector => BDV, DenseMatrix => BDM, norm => brzNorm, svd => brzSvd}
-import org.scalatest.FunSuite
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{Matrices, Vectors, Vector}
import org.apache.spark.mllib.util.{LocalClusterSparkContext, MLlibTestSparkContext}
-class RowMatrixSuite extends FunSuite with MLlibTestSparkContext {
+class RowMatrixSuite extends SparkFunSuite with MLlibTestSparkContext {
val m = 4
val n = 3
@@ -240,7 +240,7 @@ class RowMatrixSuite extends FunSuite with MLlibTestSparkContext {
}
}
-class RowMatrixClusterSuite extends FunSuite with LocalClusterSparkContext {
+class RowMatrixClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
var mat: RowMatrix = _
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
index e110506..a5a59e9 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
@@ -20,8 +20,9 @@ package org.apache.spark.mllib.optimization
import scala.collection.JavaConversions._
import scala.util.Random
-import org.scalatest.{FunSuite, Matchers}
+import org.scalatest.Matchers
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression._
import org.apache.spark.mllib.util.{LocalClusterSparkContext, MLlibTestSparkContext}
@@ -61,7 +62,7 @@ object GradientDescentSuite {
}
}
-class GradientDescentSuite extends FunSuite with MLlibTestSparkContext with Matchers {
+class GradientDescentSuite extends SparkFunSuite with MLlibTestSparkContext with Matchers {
test("Assert the loss is decreasing.") {
val nPoints = 10000
@@ -140,7 +141,7 @@ class GradientDescentSuite extends FunSuite with MLlibTestSparkContext with Matc
}
}
-class GradientDescentClusterSuite extends FunSuite with LocalClusterSparkContext {
+class GradientDescentClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small") {
val m = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala
index c8f2adc..d07b9d5 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala
@@ -19,14 +19,15 @@ package org.apache.spark.mllib.optimization
import scala.util.Random
-import org.scalatest.{FunSuite, Matchers}
+import org.scalatest.Matchers
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.util.{LocalClusterSparkContext, MLlibTestSparkContext}
import org.apache.spark.mllib.util.TestingUtils._
-class LBFGSSuite extends FunSuite with MLlibTestSparkContext with Matchers {
+class LBFGSSuite extends SparkFunSuite with MLlibTestSparkContext with Matchers {
val nPoints = 10000
val A = 2.0
@@ -229,7 +230,7 @@ class LBFGSSuite extends FunSuite with MLlibTestSparkContext with Matchers {
}
}
-class LBFGSClusterSuite extends FunSuite with LocalClusterSparkContext {
+class LBFGSClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small") {
val m = 10
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala
index bb723fc..d8f9b8c 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala
@@ -19,13 +19,12 @@ package org.apache.spark.mllib.optimization
import scala.util.Random
-import org.scalatest.FunSuite
-
import org.jblas.{DoubleMatrix, SimpleBlas}
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.TestingUtils._
-class NNLSSuite extends FunSuite {
+class NNLSSuite extends SparkFunSuite {
/** Generate an NNLS problem whose optimal solution is the all-ones vector. */
def genOnesData(n: Int, rand: Random): (DoubleMatrix, DoubleMatrix) = {
val A = new DoubleMatrix(n, n, Array.fill(n*n)(rand.nextDouble()): _*)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/BinaryClassificationPMMLModelExportSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/BinaryClassificationPMMLModelExportSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/BinaryClassificationPMMLModelExportSuite.scala
index 0b646cf..7a724fc 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/BinaryClassificationPMMLModelExportSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/BinaryClassificationPMMLModelExportSuite.scala
@@ -19,13 +19,13 @@ package org.apache.spark.mllib.pmml.export
import org.dmg.pmml.RegressionModel
import org.dmg.pmml.RegressionNormalizationMethodType
-import org.scalatest.FunSuite
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.classification.LogisticRegressionModel
import org.apache.spark.mllib.classification.SVMModel
import org.apache.spark.mllib.util.LinearDataGenerator
-class BinaryClassificationPMMLModelExportSuite extends FunSuite {
+class BinaryClassificationPMMLModelExportSuite extends SparkFunSuite {
test("logistic regression PMML export") {
val linearInput = LinearDataGenerator.generateLinearInput(3.0, Array(10.0, 10.0), 1, 17)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/GeneralizedLinearPMMLModelExportSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/GeneralizedLinearPMMLModelExportSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/GeneralizedLinearPMMLModelExportSuite.scala
index f9afbd8..1d32309 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/GeneralizedLinearPMMLModelExportSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/GeneralizedLinearPMMLModelExportSuite.scala
@@ -18,12 +18,12 @@
package org.apache.spark.mllib.pmml.export
import org.dmg.pmml.RegressionModel
-import org.scalatest.FunSuite
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.regression.{LassoModel, LinearRegressionModel, RidgeRegressionModel}
import org.apache.spark.mllib.util.LinearDataGenerator
-class GeneralizedLinearPMMLModelExportSuite extends FunSuite {
+class GeneralizedLinearPMMLModelExportSuite extends SparkFunSuite {
test("linear regression PMML export") {
val linearInput = LinearDataGenerator.generateLinearInput(3.0, Array(10.0, 10.0), 1, 17)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/KMeansPMMLModelExportSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/KMeansPMMLModelExportSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/KMeansPMMLModelExportSuite.scala
index b985d04..a1a6835 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/KMeansPMMLModelExportSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/KMeansPMMLModelExportSuite.scala
@@ -18,12 +18,12 @@
package org.apache.spark.mllib.pmml.export
import org.dmg.pmml.ClusteringModel
-import org.scalatest.FunSuite
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.clustering.KMeansModel
import org.apache.spark.mllib.linalg.Vectors
-class KMeansPMMLModelExportSuite extends FunSuite {
+class KMeansPMMLModelExportSuite extends SparkFunSuite {
test("KMeansPMMLModelExport generate PMML format") {
val clusterCenters = Array(
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/PMMLModelExportFactorySuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/PMMLModelExportFactorySuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/PMMLModelExportFactorySuite.scala
index f28a4ac..0d19400 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/PMMLModelExportFactorySuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/pmml/export/PMMLModelExportFactorySuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.pmml.export
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.classification.{LogisticRegressionModel, SVMModel}
import org.apache.spark.mllib.clustering.KMeansModel
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.{LassoModel, LinearRegressionModel, RidgeRegressionModel}
import org.apache.spark.mllib.util.LinearDataGenerator
-class PMMLModelExportFactorySuite extends FunSuite {
+class PMMLModelExportFactorySuite extends SparkFunSuite {
test("PMMLModelExportFactory create KMeansPMMLModelExport when passing a KMeansModel") {
val clusterCenters = Array(
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/random/RandomDataGeneratorSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/random/RandomDataGeneratorSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/random/RandomDataGeneratorSuite.scala
index b792d81..a5ca151 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/random/RandomDataGeneratorSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/random/RandomDataGeneratorSuite.scala
@@ -19,12 +19,11 @@ package org.apache.spark.mllib.random
import scala.math
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.util.StatCounter
// TODO update tests to use TestingUtils for floating point comparison after PR 1367 is merged
-class RandomDataGeneratorSuite extends FunSuite {
+class RandomDataGeneratorSuite extends SparkFunSuite {
def apiChecks(gen: RandomDataGenerator[Double]) {
// resetting seed should generate the same sequence of random numbers
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/random/RandomRDDsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/random/RandomRDDsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/random/RandomRDDsSuite.scala
index 63f2ea9..413db20 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/random/RandomRDDsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/random/RandomRDDsSuite.scala
@@ -19,8 +19,7 @@ package org.apache.spark.mllib.random
import scala.collection.mutable.ArrayBuffer
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.SparkContext._
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.mllib.rdd.{RandomRDDPartition, RandomRDD}
@@ -34,7 +33,7 @@ import org.apache.spark.util.StatCounter
*
* TODO update tests to use TestingUtils for floating point comparison after PR 1367 is merged
*/
-class RandomRDDsSuite extends FunSuite with MLlibTestSparkContext with Serializable {
+class RandomRDDsSuite extends SparkFunSuite with MLlibTestSparkContext with Serializable {
def testGeneratedRDD(rdd: RDD[Double],
expectedSize: Long,
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/rdd/MLPairRDDFunctionsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/rdd/MLPairRDDFunctionsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/rdd/MLPairRDDFunctionsSuite.scala
index 57216e8..10f5a2b 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/rdd/MLPairRDDFunctionsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/rdd/MLPairRDDFunctionsSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.rdd
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.rdd.MLPairRDDFunctions._
-class MLPairRDDFunctionsSuite extends FunSuite with MLlibTestSparkContext {
+class MLPairRDDFunctionsSuite extends SparkFunSuite with MLlibTestSparkContext {
test("topByKey") {
val topMap = sc.parallelize(Array((1, 7), (1, 3), (1, 6), (1, 1), (1, 2), (3, 2), (3, 7), (5,
1), (3, 5)), 2)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/rdd/RDDFunctionsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/rdd/RDDFunctionsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/rdd/RDDFunctionsSuite.scala
index 6d6c0aa..bc64172 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/rdd/RDDFunctionsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/rdd/RDDFunctionsSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.rdd
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.rdd.RDDFunctions._
-class RDDFunctionsSuite extends FunSuite with MLlibTestSparkContext {
+class RDDFunctionsSuite extends SparkFunSuite with MLlibTestSparkContext {
test("sliding") {
val data = 0 until 6
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/recommendation/ALSSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/recommendation/ALSSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/recommendation/ALSSuite.scala
index b379894..05b8772 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/recommendation/ALSSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/recommendation/ALSSuite.scala
@@ -21,9 +21,9 @@ import scala.collection.JavaConversions._
import scala.math.abs
import scala.util.Random
-import org.scalatest.FunSuite
import org.jblas.DoubleMatrix
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.storage.StorageLevel
@@ -84,7 +84,7 @@ object ALSSuite {
}
-class ALSSuite extends FunSuite with MLlibTestSparkContext {
+class ALSSuite extends SparkFunSuite with MLlibTestSparkContext {
test("rank-1 matrices") {
testALS(50, 100, 1, 15, 0.7, 0.3)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModelSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModelSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModelSuite.scala
index 2c92866..2c8ed05 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModelSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModelSuite.scala
@@ -17,14 +17,13 @@
package org.apache.spark.mllib.recommendation
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.rdd.RDD
import org.apache.spark.util.Utils
-class MatrixFactorizationModelSuite extends FunSuite with MLlibTestSparkContext {
+class MatrixFactorizationModelSuite extends SparkFunSuite with MLlibTestSparkContext {
val rank = 2
var userFeatures: RDD[(Int, Array[Double])] = _
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/regression/IsotonicRegressionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/IsotonicRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/IsotonicRegressionSuite.scala
index 3b38bdf..ea4f286 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/regression/IsotonicRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/IsotonicRegressionSuite.scala
@@ -17,13 +17,14 @@
package org.apache.spark.mllib.regression
-import org.scalatest.{Matchers, FunSuite}
+import org.scalatest.Matchers
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.util.Utils
-class IsotonicRegressionSuite extends FunSuite with MLlibTestSparkContext with Matchers {
+class IsotonicRegressionSuite extends SparkFunSuite with MLlibTestSparkContext with Matchers {
private def round(d: Double) = {
math.round(d * 100).toDouble / 100
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/regression/LabeledPointSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/LabeledPointSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/LabeledPointSuite.scala
index 110c44a..d8364a0 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/regression/LabeledPointSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/LabeledPointSuite.scala
@@ -17,11 +17,10 @@
package org.apache.spark.mllib.regression
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
-class LabeledPointSuite extends FunSuite {
+class LabeledPointSuite extends SparkFunSuite {
test("parse labeled points") {
val points = Seq(
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala
index 71dce50..08a152f 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala
@@ -19,8 +19,7 @@ package org.apache.spark.mllib.regression
import scala.util.Random
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.util.{LocalClusterSparkContext, LinearDataGenerator,
MLlibTestSparkContext}
@@ -32,7 +31,7 @@ private object LassoSuite {
val model = new LassoModel(weights = Vectors.dense(0.1, 0.2, 0.3), intercept = 0.5)
}
-class LassoSuite extends FunSuite with MLlibTestSparkContext {
+class LassoSuite extends SparkFunSuite with MLlibTestSparkContext {
def validatePrediction(predictions: Seq[Double], input: Seq[LabeledPoint]) {
val numOffPredictions = predictions.zip(input).count { case (prediction, expected) =>
@@ -143,7 +142,7 @@ class LassoSuite extends FunSuite with MLlibTestSparkContext {
}
}
-class LassoClusterSuite extends FunSuite with LocalClusterSparkContext {
+class LassoClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small in both training and prediction") {
val m = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala
index 3781931..f88a1c3 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala
@@ -19,8 +19,7 @@ package org.apache.spark.mllib.regression
import scala.util.Random
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.util.{LocalClusterSparkContext, LinearDataGenerator,
MLlibTestSparkContext}
@@ -32,7 +31,7 @@ private object LinearRegressionSuite {
val model = new LinearRegressionModel(weights = Vectors.dense(0.1, 0.2, 0.3), intercept = 0.5)
}
-class LinearRegressionSuite extends FunSuite with MLlibTestSparkContext {
+class LinearRegressionSuite extends SparkFunSuite with MLlibTestSparkContext {
def validatePrediction(predictions: Seq[Double], input: Seq[LabeledPoint]) {
val numOffPredictions = predictions.zip(input).count { case (prediction, expected) =>
@@ -150,7 +149,7 @@ class LinearRegressionSuite extends FunSuite with MLlibTestSparkContext {
}
}
-class LinearRegressionClusterSuite extends FunSuite with LocalClusterSparkContext {
+class LinearRegressionClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small in both training and prediction") {
val m = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/regression/RidgeRegressionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/RidgeRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/RidgeRegressionSuite.scala
index d6c93cc..7a781fe 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/regression/RidgeRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/RidgeRegressionSuite.scala
@@ -20,8 +20,8 @@ package org.apache.spark.mllib.regression
import scala.util.Random
import org.jblas.DoubleMatrix
-import org.scalatest.FunSuite
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.util.{LocalClusterSparkContext, LinearDataGenerator,
MLlibTestSparkContext}
@@ -33,7 +33,7 @@ private object RidgeRegressionSuite {
val model = new RidgeRegressionModel(weights = Vectors.dense(0.1, 0.2, 0.3), intercept = 0.5)
}
-class RidgeRegressionSuite extends FunSuite with MLlibTestSparkContext {
+class RidgeRegressionSuite extends SparkFunSuite with MLlibTestSparkContext {
def predictionError(predictions: Seq[Double], input: Seq[LabeledPoint]): Double = {
predictions.zip(input).map { case (prediction, expected) =>
@@ -101,7 +101,7 @@ class RidgeRegressionSuite extends FunSuite with MLlibTestSparkContext {
}
}
-class RidgeRegressionClusterSuite extends FunSuite with LocalClusterSparkContext {
+class RidgeRegressionClusterSuite extends SparkFunSuite with LocalClusterSparkContext {
test("task size should be small in both training and prediction") {
val m = 4
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/regression/StreamingLinearRegressionSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/StreamingLinearRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/StreamingLinearRegressionSuite.scala
index 26604db..9a37940 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/regression/StreamingLinearRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/StreamingLinearRegressionSuite.scala
@@ -19,14 +19,13 @@ package org.apache.spark.mllib.regression
import scala.collection.mutable.ArrayBuffer
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.util.LinearDataGenerator
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.streaming.TestSuiteBase
-class StreamingLinearRegressionSuite extends FunSuite with TestSuiteBase {
+class StreamingLinearRegressionSuite extends SparkFunSuite with TestSuiteBase {
// use longer wait time to ensure job completion
override def maxWaitTimeMillis: Int = 20000
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/stat/CorrelationSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/stat/CorrelationSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/stat/CorrelationSuite.scala
index a7e6fce..c292ced 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/stat/CorrelationSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/stat/CorrelationSuite.scala
@@ -17,16 +17,15 @@
package org.apache.spark.mllib.stat
-import org.scalatest.FunSuite
-
import breeze.linalg.{DenseMatrix => BDM, Matrix => BM}
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.stat.correlation.{Correlations, PearsonCorrelation,
SpearmanCorrelation}
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class CorrelationSuite extends FunSuite with MLlibTestSparkContext {
+class CorrelationSuite extends SparkFunSuite with MLlibTestSparkContext {
// test input data
val xData = Array(1.0, 0.0, -2.0)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/stat/HypothesisTestSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/stat/HypothesisTestSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/stat/HypothesisTestSuite.scala
index 15418e6..b084a5f 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/stat/HypothesisTestSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/stat/HypothesisTestSuite.scala
@@ -19,16 +19,14 @@ package org.apache.spark.mllib.stat
import java.util.Random
-import org.scalatest.FunSuite
-
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.mllib.linalg.{DenseVector, Matrices, Vectors}
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.stat.test.ChiSqTest
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class HypothesisTestSuite extends FunSuite with MLlibTestSparkContext {
+class HypothesisTestSuite extends SparkFunSuite with MLlibTestSparkContext {
test("chi squared pearson goodness of fit") {
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala
index a309c94..5feccdf 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala
@@ -18,11 +18,11 @@
package org.apache.spark.mllib.stat
import org.apache.commons.math3.distribution.NormalDistribution
-import org.scalatest.FunSuite
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.util.MLlibTestSparkContext
-class KernelDensitySuite extends FunSuite with MLlibTestSparkContext {
+class KernelDensitySuite extends SparkFunSuite with MLlibTestSparkContext {
test("kernel density single sample") {
val rdd = sc.parallelize(Array(5.0))
val evaluationPoints = Array(5.0, 6.0)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizerSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizerSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizerSuite.scala
index 23b0eec..07efde4 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizerSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizerSuite.scala
@@ -17,12 +17,11 @@
package org.apache.spark.mllib.stat
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.util.TestingUtils._
-class MultivariateOnlineSummarizerSuite extends FunSuite {
+class MultivariateOnlineSummarizerSuite extends SparkFunSuite {
test("basic error handing") {
val summarizer = new MultivariateOnlineSummarizer
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/stat/distribution/MultivariateGaussianSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/stat/distribution/MultivariateGaussianSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/stat/distribution/MultivariateGaussianSuite.scala
index fac2498..703b623 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/stat/distribution/MultivariateGaussianSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/stat/distribution/MultivariateGaussianSuite.scala
@@ -17,13 +17,12 @@
package org.apache.spark.mllib.stat.distribution
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{ Vectors, Matrices }
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
-class MultivariateGaussianSuite extends FunSuite with MLlibTestSparkContext {
+class MultivariateGaussianSuite extends SparkFunSuite with MLlibTestSparkContext {
test("univariate") {
val x1 = Vectors.dense(0.0)
val x2 = Vectors.dense(1.5)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/tree/DecisionTreeSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/tree/DecisionTreeSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/tree/DecisionTreeSuite.scala
index ce983eb..356d957 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/tree/DecisionTreeSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/tree/DecisionTreeSuite.scala
@@ -20,8 +20,7 @@ package org.apache.spark.mllib.tree
import scala.collection.JavaConverters._
import scala.collection.mutable
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.tree.configuration.Algo._
@@ -34,7 +33,7 @@ import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.util.Utils
-class DecisionTreeSuite extends FunSuite with MLlibTestSparkContext {
+class DecisionTreeSuite extends SparkFunSuite with MLlibTestSparkContext {
/////////////////////////////////////////////////////////////////////////////
// Tests examining individual elements of training
@@ -859,7 +858,7 @@ class DecisionTreeSuite extends FunSuite with MLlibTestSparkContext {
}
}
-object DecisionTreeSuite extends FunSuite {
+object DecisionTreeSuite extends SparkFunSuite {
def validateClassifier(
model: DecisionTreeModel,
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/tree/GradientBoostedTreesSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/tree/GradientBoostedTreesSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/tree/GradientBoostedTreesSuite.scala
index 55b0bac..84dd3b3 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/tree/GradientBoostedTreesSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/tree/GradientBoostedTreesSuite.scala
@@ -17,8 +17,7 @@
package org.apache.spark.mllib.tree
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.tree.configuration.Algo._
import org.apache.spark.mllib.tree.configuration.{BoostingStrategy, Strategy}
@@ -32,7 +31,7 @@ import org.apache.spark.util.Utils
/**
* Test suite for [[GradientBoostedTrees]].
*/
-class GradientBoostedTreesSuite extends FunSuite with MLlibTestSparkContext {
+class GradientBoostedTreesSuite extends SparkFunSuite with MLlibTestSparkContext {
test("Regression with continuous features: SquaredError") {
GradientBoostedTreesSuite.testCombinations.foreach {
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/tree/ImpuritySuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/tree/ImpuritySuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/tree/ImpuritySuite.scala
index 92b4985..49aff21 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/tree/ImpuritySuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/tree/ImpuritySuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.tree
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.tree.impurity.{EntropyAggregator, GiniAggregator}
import org.apache.spark.mllib.util.MLlibTestSparkContext
/**
* Test suites for [[GiniAggregator]] and [[EntropyAggregator]].
*/
-class ImpuritySuite extends FunSuite with MLlibTestSparkContext {
+class ImpuritySuite extends SparkFunSuite with MLlibTestSparkContext {
test("Gini impurity does not support negative labels") {
val gini = new GiniAggregator(2)
intercept[IllegalArgumentException] {
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/tree/RandomForestSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/tree/RandomForestSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/tree/RandomForestSuite.scala
index 4ed6695..e6df5d9 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/tree/RandomForestSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/tree/RandomForestSuite.scala
@@ -19,8 +19,7 @@ package org.apache.spark.mllib.tree
import scala.collection.mutable
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.tree.configuration.Algo._
@@ -35,7 +34,7 @@ import org.apache.spark.util.Utils
/**
* Test suite for [[RandomForest]].
*/
-class RandomForestSuite extends FunSuite with MLlibTestSparkContext {
+class RandomForestSuite extends SparkFunSuite with MLlibTestSparkContext {
def binaryClassificationTestWithContinuousFeatures(strategy: Strategy) {
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(numFeatures = 50, 1000)
val rdd = sc.parallelize(arr)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala
index b184e93..9d756da 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala
@@ -17,15 +17,14 @@
package org.apache.spark.mllib.tree.impl
-import org.scalatest.FunSuite
-
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.tree.EnsembleTestHelper
import org.apache.spark.mllib.util.MLlibTestSparkContext
/**
* Test suite for [[BaggedPoint]].
*/
-class BaggedPointSuite extends FunSuite with MLlibTestSparkContext {
+class BaggedPointSuite extends SparkFunSuite with MLlibTestSparkContext {
test("BaggedPoint RDD: without subsampling") {
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(1, 1000)
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala
index cdece2c..87b3661 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala
@@ -21,19 +21,18 @@ import java.io.File
import scala.io.Source
-import org.scalatest.FunSuite
-
import breeze.linalg.{squaredDistance => breezeSquaredDistance}
import com.google.common.base.Charsets
import com.google.common.io.Files
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vectors}
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.mllib.util.MLUtils._
import org.apache.spark.mllib.util.TestingUtils._
import org.apache.spark.util.Utils
-class MLUtilsSuite extends FunSuite with MLlibTestSparkContext {
+class MLUtilsSuite extends SparkFunSuite with MLlibTestSparkContext {
test("epsilon computation") {
assert(1.0 + EPSILON > 1.0, s"EPSILON is too small: $EPSILON.")
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/util/NumericParserSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/util/NumericParserSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/util/NumericParserSuite.scala
index f68fb95..8dcb9ba 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/util/NumericParserSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/util/NumericParserSuite.scala
@@ -17,11 +17,9 @@
package org.apache.spark.mllib.util
-import org.scalatest.FunSuite
+import org.apache.spark.{SparkException, SparkFunSuite}
-import org.apache.spark.SparkException
-
-class NumericParserSuite extends FunSuite {
+class NumericParserSuite extends SparkFunSuite {
test("parser") {
val s = "((1.0,2e3),-4,[5e-6,7.0E8],+9)"
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/mllib/src/test/scala/org/apache/spark/mllib/util/TestingUtilsSuite.scala
----------------------------------------------------------------------
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/util/TestingUtilsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/util/TestingUtilsSuite.scala
index 59e6c77..8f475f3 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/util/TestingUtilsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/util/TestingUtilsSuite.scala
@@ -17,12 +17,12 @@
package org.apache.spark.mllib.util
+import org.apache.spark.SparkFunSuite
import org.apache.spark.mllib.linalg.Vectors
-import org.scalatest.FunSuite
import org.apache.spark.mllib.util.TestingUtils._
import org.scalatest.exceptions.TestFailedException
-class TestingUtilsSuite extends FunSuite {
+class TestingUtilsSuite extends SparkFunSuite {
test("Comparing doubles using relative error.") {
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/repl/pom.xml
----------------------------------------------------------------------
diff --git a/repl/pom.xml b/repl/pom.xml
index 03053b4..6e5cb7f 100644
--- a/repl/pom.xml
+++ b/repl/pom.xml
@@ -50,6 +50,13 @@
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
+ <artifactId>spark-core_${scala.binary.version}</artifactId>
+ <version>${project.version}</version>
+ <type>test-jar</type>
+ <scope>test</scope>
+ </dependency>
+ <dependency>
+ <groupId>org.apache.spark</groupId>
<artifactId>spark-bagel_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<scope>runtime</scope>
http://git-wip-us.apache.org/repos/asf/spark/blob/9eb222c1/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala
----------------------------------------------------------------------
diff --git a/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala b/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala
index 934daae..50fd43a 100644
--- a/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala
+++ b/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala
@@ -22,13 +22,12 @@ import java.net.URLClassLoader
import scala.collection.mutable.ArrayBuffer
-import org.scalatest.FunSuite
-import org.apache.spark.SparkContext
+import org.apache.spark.{SparkContext, SparkFunSuite}
import org.apache.commons.lang3.StringEscapeUtils
import org.apache.spark.util.Utils
-class ReplSuite extends FunSuite {
+class ReplSuite extends SparkFunSuite {
def runInterpreter(master: String, input: String): String = {
val CONF_EXECUTOR_CLASSPATH = "spark.executor.extraClassPath"
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