Error adding data: Could not find index of the source to which data was added
org.apache.spark.sql.streaming.StreamTest$$anonfun$14.apply(StreamTest.scala:708)
 org.apache.spark.sql.streaming.StreamTest$$anonfun$14.apply(StreamTest.scala:708)
 scala.Option.getOrElse(Option.scala:121)
 org.apache.spark.sql.streaming.StreamTest$class.executeAction$1(StreamTest.scala:707)
 org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:770)
 org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:757)
 scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
 scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
 org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:757)
 org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:756)


== Progress ==
 AssertOnQuery(<condition>, )
 AddKafkaData(topics = Set(topic-0-seems), data = WrappedArray(1, 2, 3), message = )
 CheckAnswer: [2],[3],[4]
 AssertOnQuery(<condition>, name)
=> AddKafkaData(topics = Set(topic-0-bad), data = WrappedArray(4, 5, 6), message = )
 CheckAnswer: [2],[3],[4],[5],[6],[7]

== Stream ==
Output Mode: Append
Stream state: {KafkaSource[SubscribePattern[topic-0-.*]]: {"topic-0-seems":{"2":1,"4":2,"1":0,"3":0,"0":1}}}
Thread state: alive
Thread stack trace: scala.runtime.ScalaRunTime$.hash(ScalaRunTime.scala:206)
scala.collection.immutable.HashMap.elemHashCode(HashMap.scala:80)
scala.collection.immutable.HashMap.computeHash(HashMap.scala:89)
scala.collection.immutable.HashMap.$plus(HashMap.scala:60)
scala.collection.immutable.HashMap.$plus(HashMap.scala:37)
scala.collection.mutable.MapBuilder.$plus$eq(MapBuilder.scala:29)
scala.collection.mutable.MapBuilder.$plus$eq(MapBuilder.scala:25)
scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)
scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
scala.collection.mutable.MapBuilder.$plus$plus$eq(MapBuilder.scala:25)
scala.collection.generic.GenMapFactory.apply(GenMapFactory.scala:48)
scala.sys.package$.env(package.scala:61)
org.apache.spark.util.Utils$.isTesting(Utils.scala:1883)
org.apache.spark.sql.catalyst.optimizer.Optimizer.isPlanIntegral(Optimizer.scala:44)
org.apache.spark.sql.catalyst.optimizer.Optimizer.isPlanIntegral(Optimizer.scala:38)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:103)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84)
scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
scala.collection.immutable.List.foldLeft(List.scala:84)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76)
scala.collection.immutable.List.foreach(List.scala:392)
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76)
org.apache.spark.sql.execution.streaming.IncrementalExecution.optimizedPlan$lzycompute(IncrementalExecution.scala:77)
org.apache.spark.sql.execution.streaming.IncrementalExecution.optimizedPlan(IncrementalExecution.scala:77)
org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:72)
org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:68)
org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:77)
org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:77)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$2.apply(ContinuousExecution.scala:204)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$2.apply(ContinuousExecution.scala:195)
org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:401)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:195)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:90)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)


== Sink ==
0: 
1: [4] [3] [2]
2: 


== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- SerializeFromObject [input[0, int, false] AS value#15524]
 +- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#15523: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
 +- Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
 +- Streaming RelationV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)

== Analyzed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- SerializeFromObject [input[0, int, false] AS value#15524]
 +- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#15523: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
 +- Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
 +- Streaming RelationV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)

== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- SerializeFromObject [input[0, int, false] AS value#15524]
 +- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#15523: int
 +- DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
 +- Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
 +- Streaming RelationV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)

== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- *(1) SerializeFromObject [input[0, int, false] AS value#15524]
 +- *(1) MapElements <function1>, obj#15523: int
 +- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
 +- *(1) Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
 +- *(1) Project [key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608]
 +- *(1) ScanV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)
 

org.scalatest.exceptions.TestFailedException:
Error adding data: Could not find index of the source to which data was added
org.apache.spark.sql.streaming.StreamTest$$anonfun$14.apply(StreamTest.scala:708)
org.apache.spark.sql.streaming.StreamTest$$anonfun$14.apply(StreamTest.scala:708)
scala.Option.getOrElse(Option.scala:121)
org.apache.spark.sql.streaming.StreamTest$class.executeAction$1(StreamTest.scala:707)
org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:770)
org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:757)
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:757)
org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:756)
== Progress ==
AssertOnQuery(<condition>, )
AddKafkaData(topics = Set(topic-0-seems), data = WrappedArray(1, 2, 3), message = )
CheckAnswer: [2],[3],[4]
AssertOnQuery(<condition>, name)
=> AddKafkaData(topics = Set(topic-0-bad), data = WrappedArray(4, 5, 6), message = )
CheckAnswer: [2],[3],[4],[5],[6],[7]
== Stream ==
Output Mode: Append
Stream state: {KafkaSource[SubscribePattern[topic-0-.*]]: {"topic-0-seems":{"2":1,"4":2,"1":0,"3":0,"0":1}}}
Thread state: alive
Thread stack trace: scala.runtime.ScalaRunTime$.hash(ScalaRunTime.scala:206)
scala.collection.immutable.HashMap.elemHashCode(HashMap.scala:80)
scala.collection.immutable.HashMap.computeHash(HashMap.scala:89)
scala.collection.immutable.HashMap.$plus(HashMap.scala:60)
scala.collection.immutable.HashMap.$plus(HashMap.scala:37)
scala.collection.mutable.MapBuilder.$plus$eq(MapBuilder.scala:29)
scala.collection.mutable.MapBuilder.$plus$eq(MapBuilder.scala:25)
scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)
scala.collection.generic.Growable$$anonfun$$plus$plus$eq$1.apply(Growable.scala:59)
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
scala.collection.mutable.MapBuilder.$plus$plus$eq(MapBuilder.scala:25)
scala.collection.generic.GenMapFactory.apply(GenMapFactory.scala:48)
scala.sys.package$.env(package.scala:61)
org.apache.spark.util.Utils$.isTesting(Utils.scala:1883)
org.apache.spark.sql.catalyst.optimizer.Optimizer.isPlanIntegral(Optimizer.scala:44)
org.apache.spark.sql.catalyst.optimizer.Optimizer.isPlanIntegral(Optimizer.scala:38)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:103)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84)
scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
scala.collection.immutable.List.foldLeft(List.scala:84)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84)
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76)
scala.collection.immutable.List.foreach(List.scala:392)
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76)
org.apache.spark.sql.execution.streaming.IncrementalExecution.optimizedPlan$lzycompute(IncrementalExecution.scala:77)
org.apache.spark.sql.execution.streaming.IncrementalExecution.optimizedPlan(IncrementalExecution.scala:77)
org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:72)
org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:68)
org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:77)
org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:77)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$2.apply(ContinuousExecution.scala:204)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$2.apply(ContinuousExecution.scala:195)
org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:401)
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:195)
org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:90)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
== Sink ==
0:
1: [4] [3] [2]
2:
== Plan ==
== Parsed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- SerializeFromObject [input[0, int, false] AS value#15524]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#15523: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
+- Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
+- Streaming RelationV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)
== Analyzed Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- SerializeFromObject [input[0, int, false] AS value#15524]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#15523: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
+- Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
+- Streaming RelationV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)
== Optimized Logical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- SerializeFromObject [input[0, int, false] AS value#15524]
+- MapElements <function1>, class scala.Tuple2, [StructField(_1,StringType,true), StructField(_2,StringType,true)], obj#15523: int
+- DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
+- Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
+- Streaming RelationV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)
== Physical Plan ==
WriteToContinuousDataSource org.apache.spark.sql.execution.streaming.sources.MemoryStreamingWriteSupport@34d397e8
+- *(1) SerializeFromObject [input[0, int, false] AS value#15524]
+- *(1) MapElements <function1>, obj#15523: int
+- *(1) DeserializeToObject newInstance(class scala.Tuple2), obj#15522: scala.Tuple2
+- *(1) Project [cast(key#15602 as string) AS key#15514, cast(value#15603 as string) AS value#15515]
+- *(1) Project [key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608]
+- *(1) ScanV2 kafka[key#15602, value#15603, topic#15604, partition#15605, offset#15606L, timestamp#15607, timestampType#15608] (Options: [kafka.metadata.max.age.ms=1,failOnDataLoss=false,kafka.bootstrap.servers=127.0.0.1:41675,kafka.d...)
at org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:528)
at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
at org.scalatest.Assertions$class.fail(Assertions.scala:1089)
at org.scalatest.FunSuite.fail(FunSuite.scala:1560)
at org.apache.spark.sql.streaming.StreamTest$class.failTest$1(StreamTest.scala:450)
at org.apache.spark.sql.streaming.StreamTest$class.executeAction$1(StreamTest.scala:716)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:770)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:757)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:757)
at org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:756)
at org.apache.spark.sql.kafka010.KafkaSourceTest.testStream(KafkaMicroBatchSourceSuite.scala:49)
at org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$anonfun$1.apply$mcV$sp(KafkaContinuousSourceSuite.scala:54)
at org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$anonfun$1.apply(KafkaContinuousSourceSuite.scala:32)
at org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite$$anonfun$1.apply(KafkaContinuousSourceSuite.scala:32)
at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:103)
at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
at org.apache.spark.sql.kafka010.KafkaSourceTest.org$scalatest$BeforeAndAfterEach$$super$runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:221)
at org.apache.spark.sql.kafka010.KafkaSourceTest.runTest(KafkaMicroBatchSourceSuite.scala:49)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite$class.run(Suite.scala:1147)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:52)
at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:213)
at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:210)
at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:52)
at org.scalatest.Suite$class.callExecuteOnSuite$1(Suite.scala:1210)
at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1257)
at org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1255)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at org.scalatest.Suite$class.runNestedSuites(Suite.scala:1255)
at org.scalatest.tools.DiscoverySuite.runNestedSuites(DiscoverySuite.scala:30)
at org.scalatest.Suite$class.run(Suite.scala:1144)
at org.scalatest.tools.DiscoverySuite.run(DiscoverySuite.scala:30)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1340)
at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$1.apply(Runner.scala:1334)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1334)
at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1011)
at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1010)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1500)
at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
at org.scalatest.tools.Runner$.main(Runner.scala:827)
at org.scalatest.tools.Runner.main(Runner.scala)