Assert on query failed: Check total state rows = List(2), updated state rows = List(1): Array(1) did not equal List(2) incorrect total rows, recent progresses:

org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:528)
 org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
 org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:501)
 org.apache.spark.sql.streaming.StateStoreMetricsTest$$anonfun$assertNumStateRows$1.apply(StateStoreMetricsTest.scala:55)
 org.apache.spark.sql.streaming.StateStoreMetricsTest$$anonfun$assertNumStateRows$1.apply(StateStoreMetricsTest.scala:33)
 org.apache.spark.sql.streaming.StreamTest$$anonfun$executeAction$1$11.apply$mcZ$sp(StreamTest.scala:649)
 org.apache.spark.sql.streaming.StreamTest$class.verify$1(StreamTest.scala:420)
 org.apache.spark.sql.streaming.StreamTest$class.executeAction$1(StreamTest.scala:649)
 org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:767)
 org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:754)


== Progress ==
 StartStream(ProcessingTime(1000),org.apache.spark.sql.streaming.util.StreamManualClock@141d7185,Map(),null)
 AddData to MemoryStream[value#430822]: a
 AdvanceManualClock(1000)
 CheckNewAnswer: [a,1]
 AssertOnQuery(<condition>, Check total state rows = List(1), updated state rows = List(1))
 AddData to MemoryStream[value#430822]: b
 AdvanceManualClock(1000)
 CheckNewAnswer: [b,1]
=> AssertOnQuery(<condition>, Check total state rows = List(2), updated state rows = List(1))
 AddData to MemoryStream[value#430822]: b
 AdvanceManualClock(10000)
 CheckNewAnswer: [a,-1],[b,2]
 AssertOnQuery(<condition>, Check total state rows = List(1), updated state rows = List(2))
 StopStream
 StartStream(ProcessingTime(1000),org.apache.spark.sql.streaming.util.StreamManualClock@141d7185,Map(),null)
 AddData to MemoryStream[value#430822]: c
 AdvanceManualClock(11000)
 CheckNewAnswer: [b,-1],[c,1]
 AssertOnQuery(<condition>, Check total state rows = List(1), updated state rows = List(2))
 AdvanceManualClock(12000)
 AssertOnQuery(<condition>, )
 AssertOnQuery(<condition>, name)
 CheckNewAnswer: [c,-1]
 AssertOnQuery(<condition>, Check total state rows = List(0), updated state rows = List(0))

== Stream ==
Output Mode: Update
Stream state: {MemoryStream[value#430822]: 1}
Thread state: alive
Thread stack trace: java.lang.Object.wait(Native Method)
org.apache.spark.util.ManualClock.waitTillTime(ManualClock.scala:61)
org.apache.spark.sql.streaming.util.StreamManualClock.waitTillTime(StreamManualClock.scala:34)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:65)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:161)
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: [a,1]
1: [b,1]


== Plan ==
== Parsed Logical Plan ==
SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, cast(value#430825 as string).toString, cast(value#430822 as string).toString, [value#430825], [value#430822], obj#430829: scala.Tuple2, class[count[0]: bigint], Update, false, ProcessingTimeTimeout
 +- AppendColumns <function1>, class java.lang.String, [StructField(value,StringType,true)], cast(value#430822 as string).toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
 +- Project [value#430891 AS value#430822]
 +- Streaming RelationV2 MemoryStreamDataSource$[value#430891]

== Analyzed Logical Plan ==
_1: string, _2: string
SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, cast(value#430825 as string).toString, cast(value#430822 as string).toString, [value#430825], [value#430822], obj#430829: scala.Tuple2, class[count[0]: bigint], Update, false, ProcessingTimeTimeout
 +- AppendColumns <function1>, class java.lang.String, [StructField(value,StringType,true)], cast(value#430822 as string).toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
 +- Project [value#430891 AS value#430822]
 +- Streaming RelationV2 MemoryStreamDataSource$[value#430891]

== Optimized Logical Plan ==
SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, value#430825.toString, value#430891.toString, [value#430825], [value#430891], obj#430829: scala.Tuple2, class[count[0]: bigint], Update, false, ProcessingTimeTimeout
 +- AppendColumns <function1>, class java.lang.String, [StructField(value,StringType,true)], value#430891.toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
 +- Streaming RelationV2 MemoryStreamDataSource$[value#430891]

== Physical Plan ==
*(3) SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, value#430825.toString, value#430891.toString, [value#430825], [value#430891], obj#430829: scala.Tuple2, state info [ checkpoint = file:/home/jenkins/workspace/spark-master-test-maven-hadoop-2.7/sql/core/target/tmp/streaming.metadata-e7e6c17e-d641-4978-8e30-11f7e9e61a45/state, runId = 78f3ff93-865a-43b3-9131-16b76c80a3c7, opId = 0, ver = 1, numPartitions = 5], class[count[0]: bigint], 2, Update, ProcessingTimeTimeout, 2000, 0
 +- *(2) Sort [value#430825 ASC NULLS FIRST], false, 0
 +- Exchange hashpartitioning(value#430825, 5)
 +- AppendColumns <function1>, value#430891.toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
 +- *(1) Project [value#430891]
 +- *(1) ScanV2 MemoryStreamDataSource$[value#430891]
 

org.scalatest.exceptions.TestFailedException:
Assert on query failed: Check total state rows = List(2), updated state rows = List(1): Array(1) did not equal List(2) incorrect total rows, recent progresses:
org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:528)
org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1560)
org.scalatest.Assertions$AssertionsHelper.macroAssert(Assertions.scala:501)
org.apache.spark.sql.streaming.StateStoreMetricsTest$$anonfun$assertNumStateRows$1.apply(StateStoreMetricsTest.scala:55)
org.apache.spark.sql.streaming.StateStoreMetricsTest$$anonfun$assertNumStateRows$1.apply(StateStoreMetricsTest.scala:33)
org.apache.spark.sql.streaming.StreamTest$$anonfun$executeAction$1$11.apply$mcZ$sp(StreamTest.scala:649)
org.apache.spark.sql.streaming.StreamTest$class.verify$1(StreamTest.scala:420)
org.apache.spark.sql.streaming.StreamTest$class.executeAction$1(StreamTest.scala:649)
org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:767)
org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:754)
== Progress ==
StartStream(ProcessingTime(1000),org.apache.spark.sql.streaming.util.StreamManualClock@141d7185,Map(),null)
AddData to MemoryStream[value#430822]: a
AdvanceManualClock(1000)
CheckNewAnswer: [a,1]
AssertOnQuery(<condition>, Check total state rows = List(1), updated state rows = List(1))
AddData to MemoryStream[value#430822]: b
AdvanceManualClock(1000)
CheckNewAnswer: [b,1]
=> AssertOnQuery(<condition>, Check total state rows = List(2), updated state rows = List(1))
AddData to MemoryStream[value#430822]: b
AdvanceManualClock(10000)
CheckNewAnswer: [a,-1],[b,2]
AssertOnQuery(<condition>, Check total state rows = List(1), updated state rows = List(2))
StopStream
StartStream(ProcessingTime(1000),org.apache.spark.sql.streaming.util.StreamManualClock@141d7185,Map(),null)
AddData to MemoryStream[value#430822]: c
AdvanceManualClock(11000)
CheckNewAnswer: [b,-1],[c,1]
AssertOnQuery(<condition>, Check total state rows = List(1), updated state rows = List(2))
AdvanceManualClock(12000)
AssertOnQuery(<condition>, )
AssertOnQuery(<condition>, name)
CheckNewAnswer: [c,-1]
AssertOnQuery(<condition>, Check total state rows = List(0), updated state rows = List(0))
== Stream ==
Output Mode: Update
Stream state: {MemoryStream[value#430822]: 1}
Thread state: alive
Thread stack trace: java.lang.Object.wait(Native Method)
org.apache.spark.util.ManualClock.waitTillTime(ManualClock.scala:61)
org.apache.spark.sql.streaming.util.StreamManualClock.waitTillTime(StreamManualClock.scala:34)
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:65)
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:161)
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
== Sink ==
0: [a,1]
1: [b,1]
== Plan ==
== Parsed Logical Plan ==
SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, cast(value#430825 as string).toString, cast(value#430822 as string).toString, [value#430825], [value#430822], obj#430829: scala.Tuple2, class[count[0]: bigint], Update, false, ProcessingTimeTimeout
+- AppendColumns <function1>, class java.lang.String, [StructField(value,StringType,true)], cast(value#430822 as string).toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
+- Project [value#430891 AS value#430822]
+- Streaming RelationV2 MemoryStreamDataSource$[value#430891]
== Analyzed Logical Plan ==
_1: string, _2: string
SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, cast(value#430825 as string).toString, cast(value#430822 as string).toString, [value#430825], [value#430822], obj#430829: scala.Tuple2, class[count[0]: bigint], Update, false, ProcessingTimeTimeout
+- AppendColumns <function1>, class java.lang.String, [StructField(value,StringType,true)], cast(value#430822 as string).toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
+- Project [value#430891 AS value#430822]
+- Streaming RelationV2 MemoryStreamDataSource$[value#430891]
== Optimized Logical Plan ==
SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, value#430825.toString, value#430891.toString, [value#430825], [value#430891], obj#430829: scala.Tuple2, class[count[0]: bigint], Update, false, ProcessingTimeTimeout
+- AppendColumns <function1>, class java.lang.String, [StructField(value,StringType,true)], value#430891.toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
+- Streaming RelationV2 MemoryStreamDataSource$[value#430891]
== Physical Plan ==
*(3) SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._1, true, false) AS _1#430830, staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, assertnotnull(input[0, scala.Tuple2, true])._2, true, false) AS _2#430831]
+- FlatMapGroupsWithState <function3>, value#430825.toString, value#430891.toString, [value#430825], [value#430891], obj#430829: scala.Tuple2, state info [ checkpoint = file:/home/jenkins/workspace/spark-master-test-maven-hadoop-2.7/sql/core/target/tmp/streaming.metadata-e7e6c17e-d641-4978-8e30-11f7e9e61a45/state, runId = 78f3ff93-865a-43b3-9131-16b76c80a3c7, opId = 0, ver = 1, numPartitions = 5], class[count[0]: bigint], 2, Update, ProcessingTimeTimeout, 2000, 0
+- *(2) Sort [value#430825 ASC NULLS FIRST], false, 0
+- Exchange hashpartitioning(value#430825, 5)
+- AppendColumns <function1>, value#430891.toString, [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true, false) AS value#430825]
+- *(1) Project [value#430891]
+- *(1) ScanV2 MemoryStreamDataSource$[value#430891]
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:652)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:767)
at org.apache.spark.sql.streaming.StreamTest$$anonfun$liftedTree1$1$1.apply(StreamTest.scala:754)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
at org.apache.spark.sql.streaming.StreamTest$class.liftedTree1$1(StreamTest.scala:754)
at org.apache.spark.sql.streaming.StreamTest$class.testStream(StreamTest.scala:753)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite.testStream(FlatMapGroupsWithStateSuite.scala:48)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite$$anonfun$15.apply$mcV$sp(FlatMapGroupsWithStateSuite.scala:769)
at org.apache.spark.sql.catalyst.plans.PlanTestBase$class.withSQLConf(PlanTest.scala:176)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite.org$apache$spark$sql$test$SQLTestUtilsBase$$super$withSQLConf(FlatMapGroupsWithStateSuite.scala:48)
at org.apache.spark.sql.test.SQLTestUtilsBase$class.withSQLConf(SQLTestUtils.scala:167)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite.withSQLConf(FlatMapGroupsWithStateSuite.scala:48)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite$$anonfun$testWithAllStateVersions$1$$anonfun$apply$mcVI$sp$1.apply$mcV$sp(FlatMapGroupsWithStateSuite.scala:1277)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite$$anonfun$testWithAllStateVersions$1$$anonfun$apply$mcVI$sp$1.apply(FlatMapGroupsWithStateSuite.scala:1277)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite$$anonfun$testWithAllStateVersions$1$$anonfun$apply$mcVI$sp$1.apply(FlatMapGroupsWithStateSuite.scala:1277)
at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$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.streaming.FlatMapGroupsWithStateSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(FlatMapGroupsWithStateSuite.scala:48)
at org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:221)
at org.apache.spark.sql.streaming.FlatMapGroupsWithStateSuite.runTest(FlatMapGroupsWithStateSuite.scala:48)
at org.scalatest.FunSuiteLike$$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)