Package org.carrot2.util.resource

Examples of org.carrot2.util.resource.FileResource


      private final MutableCharArray tempCharSequence;
      private final Class<?> tokenFilterClass;

      private ChineseTokenizer() throws Exception {
        this.tempCharSequence = new MutableCharArray(new char[0]);

        // As Smart Chinese is not available during compile time,
        // we need to resort to reflection.
        final Class<?> tokenizerClass = ReflectionUtils.classForName(
            "org.apache.lucene.analysis.cn.smart.SentenceTokenizer", false);
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    // is not affected by the test stopwords and stoplabels.
    ILexicalData lexicalData = preprocessing.lexicalDataFactory
        .getLexicalData(LanguageCode.MALTESE);

    for (String word : wordsToCheck.split(",")) {
      if (!lexicalData.isCommonWord(new MutableCharArray(word))
          && !lexicalData.isStopLabel(word)) {
        clusters.add(new Cluster(word));
      }
    }
  }
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        if (context.hasLabels())
        {
            // Term-document matrix building and reduction
            final VectorSpaceModelContext vsmContext = new VectorSpaceModelContext(
                context);
            final ReducedVectorSpaceModelContext reducedVsmContext = new ReducedVectorSpaceModelContext(
                vsmContext);
            LingoProcessingContext lingoContext = new LingoProcessingContext(
                reducedVsmContext);

            matrixBuilder.buildTermDocumentMatrix(vsmContext);
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        // Further processing only if there are words to process
        clusters = Lists.newArrayList();
        if (context.hasLabels())
        {
            // Term-document matrix building and reduction
            final VectorSpaceModelContext vsmContext = new VectorSpaceModelContext(
                context);
            final ReducedVectorSpaceModelContext reducedVsmContext = new ReducedVectorSpaceModelContext(
                vsmContext);
            LingoProcessingContext lingoContext = new LingoProcessingContext(
                reducedVsmContext);
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          }
        },
       
        // Using the class loader directly because this time we want to omit the prefix
        new ClassLoaderLocator(core.getResourceLoader().getClassLoader())));
   
    this.controller.init(initAttributes);
    this.idFieldName = core.getSchema().getUniqueKeyField().getName();

    // Make sure the requested Carrot2 clustering algorithm class is available
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    @Override
    protected IResource getXsltResource()
    {
        if (solrXsltAdapter == null) {
            return new ClassResource(SolrDocumentSource.class, "solr-to-c2.xsl");
        } else {
            return solrXsltAdapter;
        }
    }
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                    .defaultLanguage(LanguageCode.ENGLISH);


                    File resourcesDir = new File(environment.configFile(), "carrot2/resources");

                    ResourceLookup resourceLookup = new ResourceLookup(new DirLocator(resourcesDir));

                    DefaultLexicalDataFactoryDescriptor.attributeBuilder(attributes)
                    .mergeResources(true);
                    LexicalDataLoaderDescriptor.attributeBuilder(attributes)
                    .resourceLookup(resourceLookup);
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    }

    @Test
    public void testFileResource() throws Exception
    {
        check(new FileResource(new File(".").getAbsoluteFile()));
    }
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    public void testFileResourceFile() throws Exception
    {
        final File file = File.createTempFile(
            ResourceFromStringTest.class.getSimpleName(), "");
        file.deleteOnExit();
        check("resource", file.getAbsolutePath(), new FileResource(file));
    }
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        else
        {
            filesClusteredTotal++;

            final Map<String, Object> attributes = Maps.newHashMap();
            attributes.put("XmlDocumentSource.xml", new FileResource(fileOrDirectory));
            final ProcessingResult result = controller.process(attributes,
                XmlDocumentSource.class.getName(), algorithm);

            // Stick to UTF-8 encoding on the output.
            final String outputFileName =
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