ahmetaa / zemberek-nlp

NLP tools for Turkish.

Zemberek-NLP

This project is now in slow maintenance mode.

Zemberek-NLP provides Natural Language Processing tools for Turkish.

Latest version is 0.17.1 (July 23th 2019). Change Log

Please read the FAQ for common questions.

Modules

Module	Maven Id
Core	zemberek-core	Special Collections, Hash functions and helpers.
Morphology	zemberek-morphology	Turkish morphological analysis, disambiguation and word generation.
Tokenization	zemberek-tokenization	Turkish Tokenization and sentence boundary detection.
Normalization	zemberek-normalization	Basic spell checker, word suggestion. Noisy text normalization.
NER	zemberek-ner	Turkish Named Entity Recognition.
Classification	zemberek-classification	Text classification based on Java port of fastText project.
Language Identification	zemberek-lang-id	Fast identification of text language.
Language Modeling	zemberek-lm	Provides a language model compression algorithm.
Applications	zemberek-apps	Console applications
gRPC Server	zemberek-grpc	gRPC server for access from other languages.
Examples	zemberek-examples	Usage examples.

Usage

Maven

Add this to pom.xml file

    <repositories>
        <repository>
            <id>zemberek-repo</id>
            <name>zemberek Maven Repo on Github</name>
            <url>https://raw.github.com/ahmetaa/maven-repo/master</url>
        </repository>
    </repositories>

And dependencies (For example morphology):

    <dependencies>
        <dependency>
            <groupId>zemberek-nlp</groupId>
            <artifactId>zemberek-morphology</artifactId>
            <version>0.17.1</version>
        </dependency>
    </dependencies>

Jar distributions

Google drive page contains jar files for different versions.

[zemberek-full.jar] is a single jar that contains all modules and dependencies. When it is run directly with

  java -jar zemberek-full.jar

It will list available console applications.

For Developers

Here information about how to compile the code and generate jar files from the project is explained.

Examples

There is an examples module in the code for usage examples.

Also, there is a separate project with same examples that uses Zemberek-NLP as maven modules: Turkish-nlp-examples

Known Issues and Limitations

• NER module does not provide a model yet.
• Library is not well-tested for multi-threaded usage.

Please see issues section for further issues and feel free to create new ones.

License

Code is licensed under Apache License, Version 2.0

Citing

If you use this project in an academic publication, please refer to this site.

Acknowledgements

Please refer to contributors.txt file.

zemberek-nlp's Issues

TurkishMorphParser should normalize input string

Currently it only accepts lowercase words with no punctuation.

Zemberek Extension for LibreOffice is Not Updated since 2011

Zemberek Extension for LibreOffice is Not Updated since 2011

http://extensions.libreoffice.org/extension-center/zemberek-turkce-yazim-denetleyicisi

Could you please work on it?

mvn compile fails

mvn compile fails because of some antlr dependency.

Lemmatization error for words "İstanbul, Ankara, Elazığ etc."

List morphParses = morphParser.parse(token);

returns an empty list

Cannot parse [şunlar, kendi, biri, yılki, idi, herkes, stratejist]

Cannot parse: kimden, birbirleri, diyebileceğimiz, dışılığın, kanola, segment, teşviği, lokasyon, kompakt, kiminle, ayçiçek, manipüle

Lemmatization error for word "kitabımızsa"

Word = kitabımızsa
Parses:
[(kitap:kitab) (Noun;A3sg+P1pl:ımız+Nom)(Verb;Cond:sa+A3sg)]
Lemmas = [kitap, kitapımızsa]

kitapımızsa should be kitabımızsa

Capitalized foreign letters cause unhandled exception at UnidentifiedTokenParser

When TurkishSentenceParser encounters an unidentified letter, the exception below is thrown:

Sample input:
TOMÙ

java.lang.IllegalStateException: Letter sequence is empty
    at zemberek.core.turkish.TurkicSeq.lastLetter(TurkicSeq.java:103)
    at zemberek.morphology.lexicon.tr.StemNodeGenerator.calculateAttributes(StemNodeGenerator.java:95)
    at zemberek.morphology.lexicon.tr.StemNodeGenerator.calculateAttributes(StemNodeGenerator.java:79)
    at zemberek.morphology.lexicon.tr.StemNodeGenerator.generate(StemNodeGenerator.java:57)
    at zemberek.morphology.lexicon.graph.DynamicLexiconGraph.addDictionaryItem(DynamicLexiconGraph.java:55)
    at zemberek.morphology.apps.UnidentifiedTokenParser.parse(UnidentifiedTokenParser.java:61)
    at zemberek.morphology.apps.TurkishSentenceParser.parse(TurkishSentenceParser.java:73)
    at morphology.DisambiguateSentences.parseAndDisambiguate(DisambiguateSentences.java:21)

This is abnormal since TurkishSentenceParser doesn't expect this exception from UnidentifiedTokenParser.

Cannot parse the word: birbirleri

Even though birbiri can be parsed as:

[(birbiri:birbiri) (Pron,Quant;A3sg+Pnon+Nom)]

birbirleri, which could have been parsed as:

Pron birbirleri Pron+Quant+A3pl+P3pl+Nom

remains unknown by the parser.

zemberek.core.logging.Log class ının içinde java.util.logging e ait root logger ın handler ları değiştiriliyor.

zemberek.core.logging.Log:33 te
static {
Handler[] handlers = globalLogger.getHandlers();
for (Handler handler : handlers) {
globalLogger.removeHandler(handler);
}
ConsoleHandler ch = new ConsoleHandler();
ch.setFormatter(new CUSTOM_FORMAT());
ch.setLevel(currentLevel);
globalLogger.addHandler(ch);
Thread.setDefaultUncaughtExceptionHandler(EXCEPTION_HANDLER);
}

Global logger daki handler lar remove edilip custom format ile console handler eklenince, projenin ve içerdiği diğer tüm jarların log ları bu formata göre basılıyor artık.

No solution for "(onlar) kitaplar"

Word = kitaplar
[(kitap:kitap) (Noun;A3pl:lar+Pnon+Nom)]

A solution like

kedi+Noun+A3sg+Pnon+Nom^DB+Verb+Zero+Pres+A3pl

is missing.

Implement averaged perceptron disambiguator

Postp->Noun conversion usually does not make sense

Postp->Noun conversion usually does not make sense and causes unnecessary ambiguity and false positives. Examples:

ilem
[(ile:ile) (Postp)(Noun;A3sg+P1sg:m+Nom)]

temsilci
[(temsil:temsil) (Noun;A3sg+Pnon+Nom)(Noun;Agt:ci+A3sg+Pnon+Nom)]
[(temsil:temsil) (Postp)(Noun;A3sg+Pnon+Nom)(Noun;Agt:ci+A3sg+Pnon+Nom)]

(via mugesevinc)

Cannot parse the word: yiyen

Even though yiyecek can be parsed as:

[(yemek:yi) (Verb;Pos+Fut:yecek+A3sg)]

yiyen cannot be parsed.

Cannot parse words : [ cevaplandırmak çeşitlendirmek ]

Looks like there is a missing morphotactic for "-lendirmek"

For Turkic languages other than Turkish

If I want to make Zemberek-NLP to support Uyghur language, which one of followings is the best to work with?

https://code.google.com/p/zemberek/
or
https://github.com/ahmetaa/zemberek-nlp

Probably there have been many improvements in latter one, especially for Turkish.

Thank you.

Can parse reçelsi but not reçelimsi

Noun->Adj derivation morphotactic issue.

repository contains .idea folder

We should remove .idea folder from git

Words like "incelicem" should not be accepted.

This happened after fixing #53

Implement graph serialization.

sözlüğe özel isim eklemek

Merhaba,
Buradaki örnekte, sözlükte olan bir sözcüğün özel isim halini ekleyemedim. Örneğin "Meydan" sözcüğü:
new DictionaryItem("Meydan", "meydan", "meydan", PrimaryPos.Noun, SecondaryPos.ProperNoun)
şeklinde özel isim olarak eklenemiyor. Nasıl çözülebilir acaba?

Can not analyze "kedicesine"

Dokümantasyon eksikleri

1. Deponun (repo) resmi Zemberek deposu olduğunu belirtmeniz çok yerinde olur. İlk bakışta anlaşılmıyor.
2. Google aramaları bu sayfayı çokça gösteriyor: http://code.google.com/p/zemberek/ Burada ne 3. sürüme bir link var ne de bu github deposuna. "Bir de githubta aratayım" demeseydim bu depoyu bulamayacaktım. Ordan buraya bir link vermeniz, projenin ölü olmadığının göstergesi olacaktır.

Çalışmalarınız için teşekkürler.

Wiki

Bir kaç wiki sayfası hazırlasan ne güzel olur, proje ne durumda eski zemberek kütüphanesine ne oldu, Lucene, Solr, Elasticsearch ile birlikte kullanabiliyormuyuz yoksa snowball'dan mı devam edeceğiz, sistem kütüphanelerimizi yenileyelim mi? libreoffice vb. uygulamaların zemberek köprüleri güncellensin mi? Neden eski kod ile bu yeni kod birbirinden bu kadar uzak?

Bunları biraz anlatsan ne güzel olur

GCJ ile derleme mümkün mü?

Makine kodu daha hızlı çalışıyor GCJ ile derlemeyi destekliyor musunuz veya desteklemeyi düşünüyor musunuz?

TurkishSentenceParser.preProcess splits string at foreign character

TurkishLexer provides ends a token when it encounters a foreign character. For a foreign string, this makes it yield multiple tokens for a simple foreign string (simple: containing no separators).

This might not be considered bad behavior at Lexer level.

However, TurkishSentenceParser.preProcess joins these tokens by printing space between them. This leads to such examples:

André -> [Andr, é]
Bjørn -> [Bj, ø, rn]

etc. after preprocessing

Cannot parse "soyadları"

Reason is hard to explain, but easy to fix.
"soyadlari" is compouns with "soy-ad" But there are two "ad" in lexicon. System is getting the wrong "ad". For fixing, it sorts the matching items by index value and uses the first one. Better way is to label the correct item in meta data of "soyadi".
So, if the "ad" with index 1 needs to be used, item can be defined as
soyadı [A:CompoundP3sg; Roots:soy-ad_1]
For now it will assume all are using the first item with index 0.

Cannot parse maviceydi, yeşilcedir...

Morphotactic problem.

Project compiles with 1.8 but throws an exception at runtime

I have Apache Solr plugin project with the following dependency:

zemberek-nlp core 0.9.0

On Intellij selecting both 1.7 and 1.8 works with no problem. However with Solr for JDK 1.8,
it throws the following exception:

Note: Solr also works on the same 1.8 JVM

"trace": "java.lang.RuntimeException: java.lang.NoClassDefFoundError: zemberek/core/DoubleValueSet\r\n\tat org.apache.solr.servlet.SolrDispatchFilter.sendError(SolrDispatchFilter.java:724)\r\n\tat org.apache.solr.servlet.SolrDispatchFilter.doFilter(SolrDispatchFilter.java:434)\r\n\tat org.apache.solr.servlet.SolrDispatchFilter.doFilter(SolrDispatchFilter.java:197)\r\n\tat org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1419)\r\n\tat org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:455)\r\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:137)\r\n\tat org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:557)\r\n\tat org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:231)\r\n\tat org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1075)\r\n\tat org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:384)\r\n\tat org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:193)\r\n\tat org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1009)\r\n\tat org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:135)\r\n\tat org.eclipse.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:255)\r\n\tat org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:154)\r\n\tat org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:116)\r\n\tat org.eclipse.jetty.server.Server.handle(Server.java:368)\r\n\tat org.eclipse.jetty.server.AbstractHttpConnection.handleRequest(AbstractHttpConnection.java:489)\r\n\tat org.eclipse.jetty.server.BlockingHttpConnection.handleRequest(BlockingHttpConnection.java:53)\r\n\tat org.eclipse.jetty.server.AbstractHttpConnection.headerComplete(AbstractHttpConnection.java:942)\r\n\tat org.eclipse.jetty.server.AbstractHttpConnection$RequestHandler.headerComplete(AbstractHttpConnection.java:1004)\r\n\tat org.eclipse.jetty.http.HttpParser.parseNext(HttpParser.java:640)\r\n\tat org.eclipse.jetty.http.HttpParser.parseAvailable(HttpParser.java:235)\r\n\tat org.eclipse.jetty.server.BlockingHttpConnection.handle(BlockingHttpConnection.java:72)\r\n\tat org.eclipse.jetty.server.bio.SocketConnector$ConnectorEndPoint.run(SocketConnector.java:264)\r\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:608)\r\n\tat org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:543)\r\n\tat java.lang.Thread.run(Unknown Source)\r\nCaused by: java.lang.NoClassDefFoundError: zemberek/core/DoubleValueSet\r\n\tat tr.gov.bilgem.damla.solr.plugin.suggesters.SingleWordSpellChecker.decode(SingleWordSpellChecker.java:330)\r\n\tat tr.gov.bilgem.damla.solr.plugin.suggesters.DamlaSuggester.spellcheck(DamlaSuggester.java:279)\r\n\tat tr.gov.bilgem.damla.solr.plugin.suggesters.DamlaSuggester.correctToken(DamlaSuggester.java:299)\r\n\tat tr.gov.bilgem.damla.solr.plugin.suggesters.DamlaSuggester.getSuggestions(DamlaSuggester.java:196)\r\n\tat org.apache.solr.handler.component.SpellCheckComponent.process(SpellCheckComponent.java:189)\r\n\tat org.apache.solr.handler.component.SearchHandler.handleRequestBody(SearchHandler.java:208)\r\n\tat org.apache.solr.handler.RequestHandlerBase.handleRequest(RequestHandlerBase.java:135)\r\n\tat org.apache.solr.core.SolrCore.execute(SolrCore.java:1859)\r\n\tat org.apache.solr.servlet.SolrDispatchFilter.execute(SolrDispatchFilter.java:710)\r\n\tat org.apache.solr.servlet.SolrDispatchFilter.doFilter(SolrDispatchFilter.java:413)\r\n\t... 26 more\r\n",

Tireleme fonksiyonu

Merhaba hyph_tr_TR.dic isimli tireleme dosyasını nerede bulabilirim? Sanırım openoffice eklentisi içinde olmalı imiş ama baktığımda içinde bulamadım. Yardımcı olursanız sevinirim, Kolay gelsin.

Cannot parse the word: resime

Even though the word resim (picture) can be parsed as:

[(resim:resim) (Noun;A3sg+Pnon+Nom)]

resime, which should have been parsed as:

[(resim:resim) (Noun;A3sg+Pnon+Dat:e)]

cannot be parsed, resulting in:

[(UNK:resime) (Unk,Unk;Unkown)]

Weird case of disambiguation: kadarıyla

This might lead us to a more general error.
Submit these queries to disambiguator in this order.

Query: kadarıyla

kadarıyla
Sentence  = kadarıyla
Before disambiguation.
Word = kadarıyla
[(kadar:kadar) (Postp)(Noun;A3sg+P3sg:ı+Inst:yla)]

After disambiguation.
Word = kadarıyla
[(kadar:kadar) (Postp)(Noun;A3sg+P3sg:ı+Inst:yla)]

Query: KADARIYLA

Sentence  = KADARIYLA
Before disambiguation.
Word = KADARIYLA
[(kadar:kadar) (Postp)(Noun;A3sg+P3sg:ı+Inst:yla)]
[(Kadarıyla:kadarıyla) (Noun,Prop;A3sg+Pnon+Nom)]

After disambiguation.
Word = KADARIYLA
[(Kadarıyla:kadarıyla) (Noun,Prop;A3sg+Pnon+Nom)]
[(kadar:kadar) (Postp)(Noun;A3sg+P3sg:ı+Inst:yla)]

Query (again): kadarıyla

Sentence  = kadarıyla
Before disambiguation.
Word = kadarıyla
[(Kadarıyla:kadarıyla) (Noun,Prop;A3sg+Pnon+Nom)]
[(kadar:kadar) (Postp)(Noun;A3sg+P3sg:ı+Inst:yla)]

After disambiguation.
Word = kadarıyla
[(Kadarıyla:kadarıyla) (Noun,Prop;A3sg+Pnon+Nom)]
[(kadar:kadar) (Postp)(Noun;A3sg+P3sg:ı+Inst:yla)]

Properly sanitizing the input is a workaround for this case.
I didn't include full sentences in this bug report since the response stays the same for this word, demonstrating this behavior.

Can parse [abdye ABDye] but not [abd'ye] [ABD'ye]

abdye
[(ABD:abd) (Noun,Prop;A3sg+Pnon+Dat:ye)]
Abdye
[(ABD:abd) (Noun,Prop;A3sg+Pnon+Dat:ye)]
abd'ye
[(UNK:abd'ye) (Unk,Unk;Unkown)]
Abd'ye
[(UNK:abd'ye) (Unk,Unk;Unkown)]

Garib bir tokenization and stem problemi

"Pirinç Kasım ayına göre 86, kuşbaşı et 9, beyazpeynir 16, yoğurt 11, bal 10 kuruş arttı."

Best parse uygulandığında sonuçta sadece stem'leri aldığımızda
86 --> 16 olarak çevrilmiş oluyor. Ancak aşağıdaki cümlede bir sorun yok

"86 lira harcardım."

Are there any Turkish words database?

Hey

Are there any Turkish words database?

I know one[url] in zemberek repo, but it's not suitable for me. I just need words, not like this:

aba
abacı
abacıya

Url = https://code.google.com/p/zemberek/downloads/detail?name=full.txt.tr.tar.gz

Python usage

Hello,
I'd like to ask if it's possible to use zemberek-nlp in Python?

Cannot parse the word: hepimiz

hepimiz, which could have been parsed as:

Pron hepimiz Pron+Quant+A1pl+P1pl+Nom hep

cannot be parsed.

How can we use this with c# ?

How can we use this with c# ?

Any tutorial documentation for latest zemberek?

mvn package fails

Hi,
project does not compile. IntelliJ complans about antlr import org.antlr.v4.runtime.*;
Is this something known? I want to run StemmingAndLemmatization example. And it is not running either. This one fails because of : Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.createStarted()Lcom/google/common/base/Stopwatch;

Parser classes should not be in apps package

Currently they are in zemberek.morphology.apps package. They should stay in a proper named place.

zemberek.kelimeDenetle(str) ve cumlenin Turkce olup olmadiginin test edilmesi

Eski versiyonlarda "zemberek.kelimeDenetle(str)" seklinde calisan, yanlis yazilmis kelimelere duzeltme onerisi fonksiyonu ve verilen cumlenin Turkce olup olmadigini test eden fonksiyona nasil erisebiliriz?
Dokumantasyonda ve ornek kodlarda bulamadik.

Duplicate Solution for word "kedimsi"

Word = kedimsi
[(kedi:kedi) (Noun;A3sg+Pnon+Nom)(Adj;JustLike:msi)]
[(kedi:kedi) (Noun;A3sg+Pnon+Nom)(Adj;JustLike:msi)]

Project does not compile with Java 7

The project does not compile with Java 7 (because of one line of code).
I fixed the README in my own fork so that now it says Java 8 is required. Would you like me to send you a pull request with it?

Add ability to add a new Dictionary Item in run-time.

Zemberek 3 İle Örnek Proje Var mı?

Zemberek 3 ile çalışan örnek bir proje varmı?

Wrong start and stop indexes for abbreviation words on tokenization.

      ANTLRInputStream inputStream = new ANTLRInputStream(allText);
      TurkishLexer lexer = new TurkishLexer(inputStream);

      CommonTokenStream tokenStream = new CommonTokenStream(lexer);
      tokenStream.fill();
      List<Token> tokens = tokenStream.getTokens();
      for (Token t : tokens){
          System.out.println(t.getStartIndex())
      }

gives wrong index for abbreviation words.

System can parse [ankaraya] but not [ankara'ya]

Zemberek cümle analizi

İyi günler. Zemberek kütüphanesini kullanarak cümle analizi yapmaya çalışıyorum. Bununla ilgili bir kod denemem oldu fakat şöyle bir sorun oluştu ki kod derlendikten sonra cümledeki kelimelerin, boşlukların ve noktalama işaretlerinin ayrımını yapıyor fakat kelimelerin detaylı açıklamasını çıktı olarak vermeyip hafızadaki adreslerini döndürüyor.
Kelimelerin içeriğini istediğim kod parçası şu şekildedir:

for (int i = 0; i < analizDizisi.size(); i++) {
if (analizDizisi.get(i).tip == YaziBirimiTipi.KELIME) {
System.out.println(zemberek.kelimeCozumle(analizDizisi.get(i).icerik));
}
Bu konuda yardımınızı talep ediyorum.

Release 0.9.2

resource test-lexicon-nouns.txt not found

TurkishDictionaryLoaderTest fails with "resource test-lexicon-nouns.txt not found". I couldn't find the file in the repo either.

Did you forget to commit it or is this done on purpose?

This is the test:

@Test
    public void loadNounsFromFileTest() throws IOException {
        TurkishDictionaryLoader loader = new TurkishDictionaryLoader(suffixProvider);
        RootLexicon items = loader.load(new File(Resources.getResource("test-lexicon-nouns.txt").getFile()));

        Assert.assertFalse(items.isEmpty());
        for (DictionaryItem item : items) {
            Assert.assertTrue(item.primaryPos == Noun);
        }
    }

This is the error:
`java.lang.IllegalArgumentException: resource test-lexicon-nouns.txt not found.

at com.google.common.base.Preconditions.checkArgument(Preconditions.java:120)
at com.google.common.io.Resources.getResource(Resources.java:222)
at zemberek.morphology.lexicon.TurkishDictionaryLoaderTest.loadNounsFromFileTest(TurkishDictionaryLoaderTest.java:35)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:76)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184)
at org.junit.runners.ParentRunner.run(ParentRunner.java:236)
at org.junit.runners.Suite.runChild(Suite.java:128)
at org.junit.runners.Suite.runChild(Suite.java:24)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184)
at org.junit.runners.ParentRunner.run(ParentRunner.java:236)
at org.junit.runner.JUnitCore.run(JUnitCore.java:157)
at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:69)
at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:234)
at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:74)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:144)

`