Examples of ProcessingResult

com.sun.enterprise.deployment.annotation.ProcessingResult
This interface encapsulates all AnnotatedElements processing result by the AnnotationProcessor tool. Each AnnotatedElement can have multiple annotations, therefore the AnnotationProcessor tool result is defined by the list of AnnotatedElements it processed and for each AnnotatedElement, it defines each Annotation processed and its processing result. @author Jerome Dochez
entagged.tageditor.tools.renaming.data.ProcessingResult
This class stores all information which was detected during processing the selection.
@author Christian Laireiter
org.carrot2.core.ProcessingResult
Encapsulates the results of processing. Provides access to the values of attributes collected after processing and utility methods for obtaining processed documents ( {@link #getDocuments()})) and the created clusters ( {@link #getClusters()}).

Examples of org.carrot2.core.ProcessingResult

        }


        final Map<String, Object> attributes = Maps.newHashMap();
        CommonAttributesDescriptor.attributeBuilder(attributes)
            .documents(documents);
        final ProcessingResult englishResult = controller.process(
            attributes, LingoClusteringAlgorithm.class);
        ConsoleFormatter.displayResults(englishResult);


        /*
         * In the second call, we will fetch results for a Chinese query from Bing,
         * setting explicitly the Bing's specific language attribute. Based on that
         * attribute, the document source will set the appropriate language for each
         * document.
         */
        attributes.clear();
        
        CommonAttributesDescriptor.attributeBuilder(attributes)
            .query("聚类" /* clustering? */)
            .results(100);


        Bing3WebDocumentSourceDescriptor.attributeBuilder(attributes)
            .market(MarketOption.CHINESE_CHINA);
        Bing3WebDocumentSourceDescriptor
            .attributeBuilder(attributes)
                .appid(BingKeyAccess.getKey()); // use your own ID here!


        final ProcessingResult chineseResult = controller.process(attributes,
            Bing3WebDocumentSource.class, LingoClusteringAlgorithm.class);
        ConsoleFormatter.displayResults(chineseResult);


        /*
         * In the third call, we will fetch results for the same Chinese query from
         * Google. As Google document source does not have its specific attribute for
         * setting the language, it will not set the documents' language for us. To make
         * sure the right lexical resources are used, we will need to set the
         * MultilingualClustering.defaultLanguage attribute to Chinese on our own.
         */
        attributes.clear();
        
        CommonAttributesDescriptor.attributeBuilder(attributes)
            .query("聚类" /* clustering? */)
            .results(100);


        MultilingualClusteringDescriptor.attributeBuilder(attributes)
            .defaultLanguage(LanguageCode.CHINESE_SIMPLIFIED);


        final ProcessingResult chineseResult2 = controller.process(attributes,
            GoogleDocumentSource.class, LingoClusteringAlgorithm.class);
        ConsoleFormatter.displayResults(chineseResult2);
        // [[[end:clustering-non-english-content]]]
    }

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Examples of org.carrot2.core.ProcessingResult

            sendBadRequest("dcs.c2stream only supported in POST requests.", response, null);
            return;
        }


        // Check for c2stream in a POST/www-url-encoded and decode it... or try to.
        ProcessingResult input = null;
        if (request.getMethod().equalsIgnoreCase("POST") &&
            request.getParameter(DCS_C2STREAM) != null)
        {
            // Deserialize documents from the stream
            try

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Examples of org.carrot2.core.ProcessingResult

    @SuppressWarnings("unchecked")
    private void handleMultiPart(HttpServletRequest request, HttpServletResponse response)
        throws IOException
    {
        final Map<String, Object> parameters = Maps.newHashMap();
        ProcessingResult input = null;


        final ServletFileUpload upload = new ServletFileUpload(new MemoryFileItemFactory());
        final List<FileItem> items;
        try
        {

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Examples of org.carrot2.core.ProcessingResult

        /*
         * We need to refer to the Lucene component by its identifier we set during
         * initialization. As we've not assigned any identifier to the
         * LingoClusteringAlgorithm we want to use, we can its fully qualified class name.
         */
        ProcessingResult process = controller.process(
            processingAttributes, "lucene", LingoClusteringAlgorithm.class.getName());


        ConsoleFormatter.displayResults(process);
    }

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Examples of org.carrot2.core.ProcessingResult

                "Either dcs.source or a non-empty document list in dcs.c2stream must be provided");
            return;
        }


        // Perform processing
        ProcessingResult result = null;
        try
        {
            long start = System.currentTimeMillis();
            final String logMsg;
            if (requestModel.source != null)
            {
                logMsg = "Processed results from " + requestModel.source + " with " + requestModel.algorithm;
                result = controller.process(processingAttributes, requestModel.source,
                    requestModel.algorithm);
            }
            else
            {
                logMsg = "Processed direct results feed with " + requestModel.algorithm;
                result = controller.process(processingAttributes, requestModel.algorithm);
            }


            if (config.logger.isInfoEnabled()) {
                config.logger.info(
                    String.format(Locale.ENGLISH,
                        "%s [%.2fs.]",
                        logMsg,
                        (System.currentTimeMillis() - start) / 1000.0));
            }
        }
        catch (ProcessingException e)
        {
            sendInternalServerError("Could not perform processing", response, e);
            return;
        }


        // Serialize the result
        try
        {
            if (OutputFormat.XML.equals(requestModel.outputFormat))
            {
                transformAndSerializeOutputXml(response, result,
                    !requestModel.clustersOnly, true);
            }
            else if (OutputFormat.JSON.equals(requestModel.outputFormat))
            {
                response.setContentType(MIME_JSON_UTF8);
                result.serializeJson(response.getWriter(), requestModel.jsonCallback,
                    !requestModel.clustersOnly, true);
            }
            else
            {
                response.sendError(HttpServletResponse.SC_BAD_REQUEST,

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Examples of org.carrot2.core.ProcessingResult

                final Map<String, Object> attributes = Maps.newHashMap();
                CommonAttributesDescriptor.attributeBuilder(attributes)
                    .query("data mining");


                // Pass component ids to the controller to perform processing
                final ProcessingResult result = controller.process(attributes,
                    sourceIds.get(s), algorithmIds.get(a));
                ConsoleFormatter.displayClusters(result.getClusters());
                System.out.println();
            }
        }
    }

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Examples of org.carrot2.core.ProcessingResult


        CommonAttributesDescriptor.attributeBuilder(processingAttributes)
            .documents(Lists.newArrayList(SampleDocumentData.DOCUMENTS_DATA_MINING))
            .query("data mining");


        final ProcessingResult result = controller.process(processingAttributes, 
            clusteringAlgorithm);
        ConsoleFormatter.displayClusters(result.getClusters(), 0);
    }

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Examples of org.carrot2.core.ProcessingResult


            /*
             * Perform clustering by topic using the Lingo algorithm. Lingo can 
             * take advantage of the original query, so we provide it along with the documents.
             */
            final ProcessingResult byTopicClusters = controller.process(documents, "data mining",
                LingoClusteringAlgorithm.class);
            final List<Cluster> clustersByTopic = byTopicClusters.getClusters();
            
            /* Perform clustering by domain. In this case query is not useful, hence it is null. */
            final ProcessingResult byDomainClusters = controller.process(documents, null,
                ByUrlClusteringAlgorithm.class);
            final List<Cluster> clustersByDomain = byDomainClusters.getClusters();
            // [[[end:clustering-document-list]]]
            
            ConsoleFormatter.displayClusters(clustersByTopic);
            ConsoleFormatter.displayClusters(clustersByDomain);
       }

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Examples of org.carrot2.core.ProcessingResult

            .labelCount(1).partitionCount(3);


        MultilingualClusteringDescriptor.attributeBuilder(processingAttributes)
            .languageAggregationStrategy(LanguageAggregationStrategy.FLATTEN_NONE);


        final ProcessingResult pr = cluster(SampleDocumentData.DOCUMENTS_SALSA_MULTILINGUAL);
        final List<Cluster> clusters = pr.getClusters();
        final Set<String> clusterNames = Sets.newHashSet();
        for (Cluster c : clusters) {
            clusterNames.add(c.getLabel());
        }

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Examples of org.carrot2.core.ProcessingResult

            /* Put your own API key here or in a system property! */
            Bing3WebDocumentSourceDescriptor.attributeBuilder(attributes)
                .appid(appid)
                .market((MarketOption) null);


            ProcessingResult result = controller.process(attributes, Bing3WebDocumentSource.class);
            Persister p = new Persister();
            p.write(result, new File("result.xml"));
        } finally {
            controller.dispose();
        }

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