dlwh / epic

**Archived** Epic is a high performance statistical parser written in Scala, along with a framework for building complex structured prediction models.

Home Page:http://scalanlp.org/

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at org.mapdb.Volume$ByteBufferVol.getLong(Volume.java:300)

Malkitti opened this issue · comments

commented

Exception in thread "main" java.lang.NullPointerException
at org.mapdb.Volume$ByteBufferVol.getLong(Volume.java:300)
at org.mapdb.StoreDirect.checkHeaders(StoreDirect.java:112)
at org.mapdb.StoreDirect.(StoreDirect.java:100)
at org.mapdb.StoreWAL.(StoreWAL.java:46)
at org.mapdb.DBMaker.makeEngine(DBMaker.java:582)
at org.mapdb.DBMaker.make(DBMaker.java:556)
at epic.util.CacheBroker$ActualCache.db$lzycompute(Cache.scala:50)
at epic.util.CacheBroker$ActualCache.db(Cache.scala:49)
at epic.util.CacheBroker.db(Cache.scala:38)
at epic.util.CacheBroker$CacheMap.liftedTree1$1(Cache.scala:103)
at epic.util.CacheBroker$CacheMap.theMap(Cache.scala:100)
at epic.util.CacheBroker$CacheMap.getOrElseUpdate(Cache.scala:151)
at epic.constraints.CachedChartConstraintsFactory.constraints(CachedChartConstraintsFactory.scala:31)
at epic.parser.models.NeuralParserTrainer$$anonfun$trainParser$1.apply(NeuralParserTrainer.scala:113)
at epic.parser.models.NeuralParserTrainer$$anonfun$trainParser$1.apply(NeuralParserTrainer.scala:113)
at scala.collection.parallel.AugmentedIterableIterator$class.map2combiner(RemainsIterator.scala:115)
at scala.collection.parallel.immutable.ParVector$ParVectorIterator.map2combiner(ParVector.scala:62)
at scala.collection.parallel.ParIterableLike$Map.leaf(ParIterableLike.scala:1054)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
at scala.collection.parallel.ParIterableLike$Map.tryLeaf(ParIterableLike.scala:1051)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.internal(Tasks.scala:159)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:443)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:149)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
at scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinTask.doJoin(ForkJoinTask.java:341)
at scala.concurrent.forkjoin.ForkJoinTask.join(ForkJoinTask.java:673)
at scala.collection.parallel.ForkJoinTasks$WrappedTask$class.sync(Tasks.scala:378)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.sync(Tasks.scala:443)
at scala.collection.parallel.ForkJoinTasks$class.executeAndWaitResult(Tasks.scala:426)
at scala.collection.parallel.ForkJoinTaskSupport.executeAndWaitResult(TaskSupport.scala:56)
at scala.collection.parallel.ExecutionContextTasks$class.executeAndWaitResult(Tasks.scala:558)
at scala.collection.parallel.ExecutionContextTaskSupport.executeAndWaitResult(TaskSupport.scala:80)
at scala.collection.parallel.ParIterableLike$ResultMapping.leaf(ParIterableLike.scala:958)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
at scala.collection.parallel.ParIterableLike$ResultMapping.tryLeaf(ParIterableLike.scala:953)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:152)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
at scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

What is the context here? What program did you run? What was the input data? What version of Scala and the epic library are you using?