Java OutOfMemoryError for stanford-nlp CoreNLP v3.9.2 sample
0
I'm attempting to run the sample, but I get the error:
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at
My system is
- stanford-corenlp-full-2018-10-05 v3.9.2
- java version "1.8.0_202"
- OS Win10 Pro 10.0.17134 x64
I've added these .jar files to the stanford-corenlp-full-2018-10-05 directory
- stanford-english-corenlp-2018-10-05-models.jar
- stanford-english-kbp-corenlp-2018-10-05-models.jar
I'm using the command:
java -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLP -d64 -Xmx2048m -file input.txt
This generates the errors below.
Am I missing a prerequisite or are these versions incompatible?
Thanks.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: 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 [1.8 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 [2.7 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [3.2 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [1.3 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.time.TimeExpressionExtractorImpl - Using following SUTime rules: edu/stanford/nlp/models/sutime/defs.sutime.txt,edu/stanford/nlp/models/sutime/english.sutime.txt,edu/stanford/nlp/models/sutime/english.holidays.sutime.txt [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 580704 unique entries out of 581863 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_caseless.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 4869 unique entries out of 4869 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_cased.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 585573 unique entries from 2 files [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse [main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model: edu/stanford/nlp/models/parser/nndep/english_UD.gz ... Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at edu.stanford.nlp.parser.nndep.Classifier.initGradientHistories(Classifier.java:607) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:141) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:116) at edu.stanford.nlp.parser.nndep.DependencyParser.loadModelFile(DependencyParser.java:624) at edu.stanford.nlp.parser.nndep.DependencyParser.loadFromModelFile(DependencyParser.java:499) at edu.stanford.nlp.pipeline.DependencyParseAnnotator.<init>(DependencyParseAnnotator.java:57) at edu.stanford.nlp.pipeline.AnnotatorImplementations.dependencies(AnnotatorImplementations.java:240) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$18(StanfordCoreNLP.java:536) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$29/41903949.apply(Unknown Source) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null$30(StanfordCoreNLP.java:602) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$38/1060830840.get(Unknown Source) at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:126) at edu.stanford.nlp.util.Lazy.get(Lazy.java:31) at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:251) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:192) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:188) at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1388)
java
edited Jan 17 at 22:50
music2myear
31.1k858100
asked Jan 17 at 21:31
brittbritt
11
add a comment |
0
I'm attempting to run the sample, but I get the error:
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at
My system is
- stanford-corenlp-full-2018-10-05 v3.9.2
- java version "1.8.0_202"
- OS Win10 Pro 10.0.17134 x64
I've added these .jar files to the stanford-corenlp-full-2018-10-05 directory
- stanford-english-corenlp-2018-10-05-models.jar
- stanford-english-kbp-corenlp-2018-10-05-models.jar
I'm using the command:
java -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLP -d64 -Xmx2048m -file input.txt
This generates the errors below.
Am I missing a prerequisite or are these versions incompatible?
Thanks.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: 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 [1.8 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 [2.7 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [3.2 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [1.3 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.time.TimeExpressionExtractorImpl - Using following SUTime rules: edu/stanford/nlp/models/sutime/defs.sutime.txt,edu/stanford/nlp/models/sutime/english.sutime.txt,edu/stanford/nlp/models/sutime/english.holidays.sutime.txt [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 580704 unique entries out of 581863 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_caseless.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 4869 unique entries out of 4869 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_cased.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 585573 unique entries from 2 files [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse [main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model: edu/stanford/nlp/models/parser/nndep/english_UD.gz ... Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at edu.stanford.nlp.parser.nndep.Classifier.initGradientHistories(Classifier.java:607) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:141) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:116) at edu.stanford.nlp.parser.nndep.DependencyParser.loadModelFile(DependencyParser.java:624) at edu.stanford.nlp.parser.nndep.DependencyParser.loadFromModelFile(DependencyParser.java:499) at edu.stanford.nlp.pipeline.DependencyParseAnnotator.<init>(DependencyParseAnnotator.java:57) at edu.stanford.nlp.pipeline.AnnotatorImplementations.dependencies(AnnotatorImplementations.java:240) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$18(StanfordCoreNLP.java:536) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$29/41903949.apply(Unknown Source) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null$30(StanfordCoreNLP.java:602) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$38/1060830840.get(Unknown Source) at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:126) at edu.stanford.nlp.util.Lazy.get(Lazy.java:31) at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:251) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:192) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:188) at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1388)
java
edited Jan 17 at 22:50
music2myear
31.1k858100
asked Jan 17 at 21:31
brittbritt
11
add a comment |
0
0
0
I'm attempting to run the sample, but I get the error:
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at
My system is
- stanford-corenlp-full-2018-10-05 v3.9.2
- java version "1.8.0_202"
- OS Win10 Pro 10.0.17134 x64
I've added these .jar files to the stanford-corenlp-full-2018-10-05 directory
- stanford-english-corenlp-2018-10-05-models.jar
- stanford-english-kbp-corenlp-2018-10-05-models.jar
I'm using the command:
java -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLP -d64 -Xmx2048m -file input.txt
This generates the errors below.
Am I missing a prerequisite or are these versions incompatible?
Thanks.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: 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 [1.8 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 [2.7 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [3.2 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [1.3 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.time.TimeExpressionExtractorImpl - Using following SUTime rules: edu/stanford/nlp/models/sutime/defs.sutime.txt,edu/stanford/nlp/models/sutime/english.sutime.txt,edu/stanford/nlp/models/sutime/english.holidays.sutime.txt [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 580704 unique entries out of 581863 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_caseless.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 4869 unique entries out of 4869 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_cased.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 585573 unique entries from 2 files [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse [main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model: edu/stanford/nlp/models/parser/nndep/english_UD.gz ... Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at edu.stanford.nlp.parser.nndep.Classifier.initGradientHistories(Classifier.java:607) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:141) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:116) at edu.stanford.nlp.parser.nndep.DependencyParser.loadModelFile(DependencyParser.java:624) at edu.stanford.nlp.parser.nndep.DependencyParser.loadFromModelFile(DependencyParser.java:499) at edu.stanford.nlp.pipeline.DependencyParseAnnotator.<init>(DependencyParseAnnotator.java:57) at edu.stanford.nlp.pipeline.AnnotatorImplementations.dependencies(AnnotatorImplementations.java:240) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$18(StanfordCoreNLP.java:536) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$29/41903949.apply(Unknown Source) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null$30(StanfordCoreNLP.java:602) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$38/1060830840.get(Unknown Source) at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:126) at edu.stanford.nlp.util.Lazy.get(Lazy.java:31) at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:251) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:192) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:188) at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1388)
java
edited Jan 17 at 22:50
music2myear
31.1k858100
asked Jan 17 at 21:31
brittbritt
11
I'm attempting to run the sample, but I get the error:
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at
My system is
- stanford-corenlp-full-2018-10-05 v3.9.2
- java version "1.8.0_202"
- OS Win10 Pro 10.0.17134 x64
I've added these .jar files to the stanford-corenlp-full-2018-10-05 directory
- stanford-english-corenlp-2018-10-05-models.jar
- stanford-english-kbp-corenlp-2018-10-05-models.jar
I'm using the command:
java -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLP -d64 -Xmx2048m -file input.txt
This generates the errors below.
Am I missing a prerequisite or are these versions incompatible?
Thanks.
[main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Searching for resource: 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 [1.8 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 [2.7 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [3.2 sec]. [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [1.3 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.time.TimeExpressionExtractorImpl - Using following SUTime rules: edu/stanford/nlp/models/sutime/defs.sutime.txt,edu/stanford/nlp/models/sutime/english.sutime.txt,edu/stanford/nlp/models/sutime/english.holidays.sutime.txt [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 580704 unique entries out of 581863 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_caseless.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 4869 unique entries out of 4869 from edu/stanford/nlp/models/kbp/english/gazetteers/regexner_cased.tab, 0 TokensRegex patterns. [main] INFO edu.stanford.nlp.pipeline.TokensRegexNERAnnotator - ner.fine.regexner: Read 585573 unique entries from 2 files [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse [main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model: edu/stanford/nlp/models/parser/nndep/english_UD.gz ... Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at edu.stanford.nlp.parser.nndep.Classifier.initGradientHistories(Classifier.java:607) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:141) at edu.stanford.nlp.parser.nndep.Classifier.<init>(Classifier.java:116) at edu.stanford.nlp.parser.nndep.DependencyParser.loadModelFile(DependencyParser.java:624) at edu.stanford.nlp.parser.nndep.DependencyParser.loadFromModelFile(DependencyParser.java:499) at edu.stanford.nlp.pipeline.DependencyParseAnnotator.<init>(DependencyParseAnnotator.java:57) at edu.stanford.nlp.pipeline.AnnotatorImplementations.dependencies(AnnotatorImplementations.java:240) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$18(StanfordCoreNLP.java:536) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$29/41903949.apply(Unknown Source) at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null$30(StanfordCoreNLP.java:602) at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda$38/1060830840.get(Unknown Source) at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:126) at edu.stanford.nlp.util.Lazy.get(Lazy.java:31) at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:251) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:192) at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:188) at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1388)
java
java
edited Jan 17 at 22:50
music2myear
31.1k858100
asked Jan 17 at 21:31
brittbritt
11
edited Jan 17 at 22:50
music2myear
31.1k858100
asked Jan 17 at 21:31
brittbritt
11
edited Jan 17 at 22:50
music2myear
31.1k858100
edited Jan 17 at 22:50
music2myear
31.1k858100
edited Jan 17 at 22:50
music2myear
31.1k858100
31.1k858100
asked Jan 17 at 21:31
brittbritt
11
asked Jan 17 at 21:31
brittbritt
11
asked Jan 17 at 21:31
brittbritt
11
11
add a comment |
add a comment |
0
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StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
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Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
