expected timeout error while running reader interactive

[soroushmbk]

when I run reader pipeline I get this error I have the same error when running reader predict

python3 scripts/reader/interactive.py --model data/reader/single.mdl
[sudo] password for soroush: 
/usr/local/lib/python3.6/dist-packages/scikit_learn-0.20.0-py3.6-linux-x86_64.egg/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
11/22/2018 06:29:10 PM: [ CUDA enabled (GPU -1) ]
11/22/2018 06:29:10 PM: [ Initializing model... ]
11/22/2018 06:29:10 PM: [ Loading model data/reader/single.mdl ]
11/22/2018 06:29:12 PM: [ Initializing tokenizer... ]
Traceback (most recent call last):
  File "/home/soroush/.local/lib/python3.6/site-packages/pexpect/expect.py", line 111, in expect_loop
    incoming = spawn.read_nonblocking(spawn.maxread, timeout)
  File "/home/soroush/.local/lib/python3.6/site-packages/pexpect/pty_spawn.py", line 482, in read_nonblocking
    raise TIMEOUT('Timeout exceeded.')
pexpect.exceptions.TIMEOUT: Timeout exceeded.

[soroushmbk]

my corenlp run properly

java edu.stanford.nlp.pipeline.StanfordCoreNLP
Picked up _JAVA_OPTIONS: -Xmx4096m
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: StanfordCoreNLP.properties ... not found.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: edu/stanford/nlp/pipeline/StanfordCoreNLP.properties ... found.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
[main] INFO edu.stanford.nlp.tagger.maxent.MaxentTagger - Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0.8 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [1.2 sec].
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [1.2 sec].
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [1.7 sec].
[main] INFO edu.stanford.nlp.time.JollyDayHolidays - Initializing JollyDayHoliday for SUTime from classpath edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse
[main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model file: edu/stanford/nlp/models/parser/nndep/english_UD.gz ... 
[main] INFO edu.stanford.nlp.parser.nndep.Classifier - PreComputed 99996, Elapsed Time: 11.056 (s)
[main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Initializing dependency parser ... done [12.5 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator mention
[main] INFO edu.stanford.nlp.pipeline.MentionAnnotator - Using mention detector type: dependency
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator coref
[main] INFO edu.stanford.nlp.coref.statistical.SimpleLinearClassifier - Loading coref model edu/stanford/nlp/models/coref/statistical/ranking_model.ser.gz ... done [1.1 sec].

[soroushmbk]

this command works correctly too

java -cp "data/corenlp/*" edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,ner
Picked up _JAVA_OPTIONS: -Xmx4096m
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
[main] INFO edu.stanford.nlp.pipeline.TokenizerAnnotator - No tokenizer type provided. Defaulting to PTBTokenizer.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
[main] INFO edu.stanford.nlp.tagger.maxent.MaxentTagger - Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0.8 sec].
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [1.2 sec].
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [1.1 sec].
[main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [1.7 sec].
[main] INFO edu.stanford.nlp.time.JollyDayHolidays - Initializing JollyDayHoliday for SUTime from classpath edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1.

Entering interactive shell. Type q RETURN or EOF to quit.

[soroushmbk]

and this command also works

>>> from drqa.tokenizers import CoreNLPTokenizer
/usr/local/lib/python3.6/dist-packages/scikit_learn-0.20.0-py3.6-linux-x86_64.egg/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
>>> tok = CoreNLPTokenizer()
>>> tok.tokenize('hello world').words()
['hello', 'world']

[soroushmbk]

I can fix this problem by increasing the java heap size.