Spark-nlp: nullpointerexception using BERT NER pretrained pipeline

Created on 19 Jun 2020  路  3Comments  路  Source: JohnSnowLabs/spark-nlp

Description

I am running into this error when trying to write out or print the munged/finished output of the bert pretrained ner pipeline. Before applying a finisher, I extract the results of entities.metadata and embeddings.embeddings into a new columns and then run a UDF on the new column containing entities.metadata to rearrange the output. There is one final UDF run on the finished_entities to produce several struct columns.

I then attempt to drop the columns containing entities.metadata and either display/save the table. Apologies I do not have a mwe, I cannot reproduce this locally or on a toy dataset.

The general code is:

bert_pipeline = PretrainedPipeline("recognize_entities_bert", lang="en")
ner_pipeline_df = bert_pipeline.transform(textdf)

ner_finisher = (
  Finisher()
  .setInputCols(["document", "ner", "entities"])
)

meta_df = ner_finisher.transform(
    ner_pipeline_df
    .withColumn('entities_meta', sf.col('entities.metadata'))
    .withColumn('bert_embeddings', sf.col('embeddings.embeddings'))
  )

from pyspark.sql.functions import udf
from pyspark.sql.types import StructType, StructField, ArrayType, StringType

def array_to_struct(reslist):
  # 
  out_dict = {}

  for key in reslist[0].keys():
    if isinstance(reslist[0][key], dict):
       for sub_key in reslist[0][key].keys():
          out_dict[sub_key] = [el[key][sub_key] for el in reslist]
    else:
      out_dict[key] = [el[key] for el in reslist]

  return out_dict

schema = StructType(
  [
    StructField("sentence", ArrayType(StringType()), True),
    StructField("chunk", ArrayType(StringType()), True),
    StructField("entity", ArrayType(StringType()), True)
  ]
)

array_to_struct_udf = udf(array_to_struct, schema)

named_ent_df = meta_df.withColumn('extracted_terms', array_to_struct_udf("entities_meta"))

At this point I have a dataframe with structure:

|-- date_str: string (nullable = true)
|-- DocumentId: string (nullable = true)
|-- themes: string (nullable = true)
|-- text: string (nullable = true)
|-- entities_meta: array (nullable = true)
| |-- element: map (containsNull = true)
| | |-- key: string
| | |-- value: string (valueContainsNull = true)
|-- bert_embeddings: array (nullable = true)
| |-- element: array (containsNull = true)
| | |-- element: float (containsNull = false)
|-- finished_document: array (nullable = true)
| |-- element: string (containsNull = true)
|-- finished_ner: array (nullable = true)
| |-- element: string (containsNull = true)
|-- finished_entities: array (nullable = true)
| |-- element: string (containsNull = true)
|-- extracted_terms: struct (nullable = true)
| |-- sentence: array (nullable = true)
| | |-- element: string (containsNull = true)
| |-- chunk: array (nullable = true)
| | |-- element: string (containsNull = true)
| |-- entity: array (nullable = true)
| | |-- element: string (containsNull = true)

then (sorry for the pseudo-code) I apply a udf and drop the metadata columns. _Everything seems to work if I do not drop extracted_terms or entities_meta._

## apply another udf that munges "extracted" terms.

###
named_ent_df = named_ent_df.select(*['GKGRecordID',
 'date_str',
 'DocumentId',
'bert_embeddings,
 'themes',
 'text',
 'matches',
....])

display(named_ent_df) # or
named_ent_df.write....

which results in:

An error occurred while calling o5092.getResult.
: org.apache.spark.SparkException: Exception thrown in awaitResult: 
    at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:358)
    at org.apache.spark.security.SocketAuthServer.getResult(SocketAuthServer.scala:67)
    at org.apache.spark.security.SocketAuthServer.getResult(SocketAuthServer.scala:63)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:380)
    at py4j.Gateway.invoke(Gateway.java:295)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:251)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 64.0 failed 4 times, most recent failure: Lost task 6.3 in stage 64.0 (TID 291, 10.139.64.4, executor 7): org.apache.spark.SparkException: Failed to execute user defined function($anonfun$dfAssembleNoExtras$1: (string) => array<struct<annotatorType:string,begin:int,end:int,result:string,metadata:map<string,string>,embeddings:array<float>>>)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_ScalaUDF_0$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregateWithKeysOutput_0$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
    at org.apache.spark.sql.execution.columnar.CachedRDDBuilder$$anonfun$3$$anon$1.next(InMemoryRelation.scala:104)
    at org.apache.spark.sql.execution.columnar.CachedRDDBuilder$$anonfun$3$$anon$1.next(InMemoryRelation.scala:96)
    at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
    at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1235)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1161)
    at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1045)
    at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:364)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:315)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:366)
    at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:364)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1235)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1161)
    at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1045)
    at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:364)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:315)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
    at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
    at org.apache.spark.scheduler.Task.run(Task.scala:113)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NullPointerException
    at com.johnsnowlabs.nlp.DocumentAssembler.assemble(DocumentAssembler.scala:98)
    at com.johnsnowlabs.nlp.DocumentAssembler$$anonfun$dfAssembleNoExtras$1.apply(DocumentAssembler.scala:124)
    at com.johnsnowlabs.nlp.DocumentAssembler$$anonfun$dfAssembleNoExtras$1.apply(DocumentAssembler.scala:123)
    ... 67 more

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2362)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2350)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2349)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2349)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1102)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1102)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2582)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2529)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2517)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:897)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2280)
    at org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1$$anonfun$apply$20.apply(Dataset.scala:3440)
    at org.apache.spark.sql.Dataset$$anonfun$collectAsArrowToPython$1$$anonfun$apply$20.apply(Dataset.scala:3409)
    at org.apache.spark.api.python.PythonRDD$$anonfun$6$$anonfun$apply$7.apply$mcV$sp(PythonRDD.scala:627)
    at org.apache.spark.api.python.PythonRDD$$anonfun$6$$anonfun$apply$7.apply(PythonRDD.scala:627)
    at org.apache.spark.api.python.PythonRDD$$anonfun$6$$anonfun$apply$7.apply(PythonRDD.scala:627)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
    at org.apache.spark.api.python.PythonRDD$$anonfun$6.apply(PythonRDD.scala:628)
    at org.apache.spark.api.python.PythonRDD$$anonfun$6.apply(PythonRDD.scala:624)
    at org.apache.spark.api.python.SocketFuncServer.handleConnection(PythonRDD.scala:1172)
    at org.apache.spark.api.python.SocketFuncServer.handleConnection(PythonRDD.scala:1166)
    at org.apache.spark.security.SocketAuthServer$$anonfun$1$$anonfun$apply$1.apply(SocketAuthServer.scala:48)
    at scala.util.Try$.apply(Try.scala:192)
    at org.apache.spark.security.SocketAuthServer$$anonfun$1.apply(SocketAuthServer.scala:48)
    at org.apache.spark.security.SocketAuthServer$$anonfun$1.apply(SocketAuthServer.scala:47)
    at org.apache.spark.security.SocketAuthServer$$anon$1.run(SocketAuthServer.scala:102)
Caused by: org.apache.spark.SparkException: Failed to execute user defined function($anonfun$dfAssembleNoExtras$1: (string) => array<struct<annotatorType:string,begin:int,end:int,result:string,metadata:map<string,string>,embeddings:array<float>>>)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_ScalaUDF_0$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregateWithKeysOutput_0$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:640)
    at org.apache.spark.sql.execution.columnar.CachedRDDBuilder$$anonfun$3$$anon$1.next(InMemoryRelation.scala:104)
    at org.apache.spark.sql.execution.columnar.CachedRDDBuilder$$anonfun$3$$anon$1.next(InMemoryRelation.scala:96)
    at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
    at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1235)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1161)
    at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1045)
    at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:364)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:315)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:366)
    at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:364)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1235)
    at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1161)
    at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1226)
    at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1045)
    at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:364)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:315)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:353)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:317)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
    at org.apache.spark.scheduler.Task.doRunTask(Task.scala:140)
    at org.apache.spark.scheduler.Task.run(Task.scala:113)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:537)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:543)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NullPointerException
    at com.johnsnowlabs.nlp.DocumentAssembler.assemble(DocumentAssembler.scala:98)
    at com.johnsnowlabs.nlp.DocumentAssembler$$anonfun$dfAssembleNoExtras$1.apply(DocumentAssembler.scala:124)
    at com.johnsnowlabs.nlp.DocumentAssembler$$anonfun$dfAssembleNoExtras$1.apply(DocumentAssembler.scala:123)
    ... 67 more

Your Environment

  • Spark NLP version: 2.5.2
  • Databricks runtime 6.4 (includes Apache Spark 2.4.5, Scala 2.11)
  • Java version (java -version): 1.8.0_232
  • Setup and installation (Pypi, Conda, Maven, etc.): Pypi/Maven
Requires more input question
Source
picture clabornd

Most helpful comment

Thanks for the updates. None the less we shouldn鈥檛 crash on empty strings so I鈥檒l create a new issue for that to be fixed next release.
Thanks again for reporting this.

picture maziyarpanahi on 20 Jun 2020
👍2

All 3 comments

Hi,
I dont see anything related to BertEmbeddings in the trace, all I see is DocumentAssembler. Do you have an empty input?
I see why and where it fails in DocumentAssembler but it would be helpful to filter out any empty and null input for test on your side.

maziyarpanahi picture maziyarpanahi on 19 Jun 2020

Yea I had some null values, removing them seems to work. Running into unrelated issues but pretty sure this part of my problems are resolved. Thanks.

clabornd picture clabornd on 20 Jun 2020

Thanks for the updates. None the less we shouldn鈥檛 crash on empty strings so I鈥檒l create a new issue for that to be fixed next release.
Thanks again for reporting this.

maziyarpanahi picture maziyarpanahi on 20 Jun 2020
👍2
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