java.lang.ClassCastException: java.lang.Integer cannot be cast to scala.collection.IndexedSeq

GitHub | tpoterba | 8 months ago
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  1. 0

    GitHub comment 660#241800222

    GitHub | 8 months ago | tpoterba
    java.lang.ClassCastException: java.lang.Integer cannot be cast to scala.collection.IndexedSeq
  2. 0

    GitHub comment 660#242218633

    GitHub | 8 months ago | seuchoi
    java.lang.ClassCastException: java.lang.Integer cannot be cast to scala.collection.IndexedSeq
  3. 0

    Help:basic RMI question

    Google Groups | 2 decades ago | Paolo De Lutiis
    java.lang.ClassCastException: serverPackage.ServerClass_Stub at clientPackage.myApplet.init(myApplet.java:line#) at sun.applet.AppletPanel.run(AppletPanel.java:273) at java.lang.Thread.
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  5. 0

    Shared hosting Bungeecord problems.

    GitHub | 3 years ago | Arksenu
    java.lang.ClassCastException: bka cannot be cast to fs All my servers are set to onlinemode: false Here is my config.yml groups: arksenu: - admin disabled_commands: - find player_limit: -1 stats: 347d1d62-6fb6-4869-bd43-7d0745de8e3c permissions: default: - bungeecord.command.server - bungeecord.command.list admin: - bungeecord.command.ip - bungeecord.command.alert - bungeecord.command.end - bungeecord.command.reload listeners: - max_players: 18 fallback_server: hub host: 0.0.0.0:35289 bind_local_address: true ping_passthrough: false tab_list: GLOBAL_PING default_server: hub forced_hosts: pvp.md-5.net: hub tab_size: 60 force_default_server: true motd: ’Network’ query_enabled: false query_port: 25565 timeout: 30000 connection_throttle: 4000 servers: hub: address: 108.170.8.146:35289 restricted: false motd: test UvGames: address: 66.85.165.170:26200 restricted: false motd: test UvPrison: address: 66.85.128.90:25928 restricted: false motd: test ip_forward: false online_mode: true And here is my console message -> UpstreamBridge has disconnected disconnected with: Exception Connecting:RuntimeException : Server is online mode! @ net.md_5.bungee.ServerConnector:188
  6. 0

    Shared hosting Bungeecord problems.

    GitHub | 3 years ago | Arksenu
    java.lang.ClassCastException: bka cannot be cast to fs All my servers are set to onlinemode: false Here is my config.yml groups: arksenu: - admin disabled_commands: - find player_limit: -1 stats: 347d1d62-6fb6-4869-bd43-7d0745de8e3c permissions: default: - bungeecord.command.server - bungeecord.command.list admin: - bungeecord.command.ip - bungeecord.command.alert - bungeecord.command.end - bungeecord.command.reload listeners: - max_players: 18 fallback_server: hub host: 0.0.0.0:35289 bind_local_address: true ping_passthrough: false tab_list: GLOBAL_PING default_server: hub forced_hosts: pvp.md-5.net: hub tab_size: 60 force_default_server: true motd: ’Network’ query_enabled: false query_port: 25565 timeout: 30000 connection_throttle: 4000 servers: hub: address: 108.170.8.146:35289 restricted: false motd: test UvGames: address: 66.85.165.170:26200 restricted: false motd: test UvPrison: address: 66.85.128.90:25928 restricted: false motd: test ip_forward: false online_mode: true And here is my console message -> UpstreamBridge has disconnected disconnected with: Exception Connecting:RuntimeException : Server is online mode! @ net.md_5.bungee.ServerConnector:188

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    Root Cause Analysis

    1. java.lang.ClassCastException

      java.lang.Integer cannot be cast to scala.collection.IndexedSeq

      at org.broadinstitute.hail.expr.IndexOp$$anonfun$eval$217.apply()
    2. org.broadinstitute.hail
      AnnotateVariantsExpr$$anonfun$2$$anonfun$apply$2.apply
      1. org.broadinstitute.hail.expr.IndexOp$$anonfun$eval$217.apply(AST.scala:1780)
      2. org.broadinstitute.hail.expr.AST$$anonfun$evalCompose$2.apply(AST.scala:128)
      3. org.broadinstitute.hail.expr.Parser$$anonfun$5$$anonfun$apply$7.apply(Parser.scala:168)
      4. org.broadinstitute.hail.expr.Parser$$anonfun$5$$anonfun$apply$7.apply(Parser.scala:168)
      5. org.broadinstitute.hail.driver.AnnotateVariantsExpr$$anonfun$2$$anonfun$apply$2.apply(AnnotateVariantsExpr.scala:71)
      6. org.broadinstitute.hail.driver.AnnotateVariantsExpr$$anonfun$2$$anonfun$apply$2.apply(AnnotateVariantsExpr.scala:70)
      6 frames
    3. Scala
      ArrayOps$ofRef.foldLeft
      1. scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:51)
      2. scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:60)
      3. scala.collection.mutable.ArrayOps$ofRef.foldLeft(ArrayOps.scala:108)
      3 frames
    4. org.broadinstitute.hail
      VariantSampleMatrix$$anonfun$mapAnnotations$1.apply
      1. org.broadinstitute.hail.driver.AnnotateVariantsExpr$$anonfun$2.apply(AnnotateVariantsExpr.scala:70)
      2. org.broadinstitute.hail.driver.AnnotateVariantsExpr$$anonfun$2.apply(AnnotateVariantsExpr.scala:64)
      3. org.broadinstitute.hail.variant.VariantSampleMatrix$$anonfun$mapAnnotations$1.apply(VariantSampleMatrix.scala:399)
      4. org.broadinstitute.hail.variant.VariantSampleMatrix$$anonfun$mapAnnotations$1.apply(VariantSampleMatrix.scala:399)
      4 frames
    5. Scala
      Iterator$$anon$11.next
      1. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      2. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      3. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      3 frames
    6. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:285)
      2. org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)
      3. org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
      4. org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
      5. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      6. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      7. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      8. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      9. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      10. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      11. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      12. org.apache.spark.scheduler.Task.run(Task.scala:89)
      13. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      13 frames
    7. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames