Examples of org.carrot2.core.Controller.process()

org.carrot2.core.Controller.process()
Convenience method for performing processing with the provided query and number of results. The typical use cases for this method is fetching the specified number of results from an {@link IDocumentSource} and, optionally, clustering them with an{@link IClusteringAlgorithm}.
For a method allowing to pass more attributes, see: {@link #process(Map,Class)}.
@param query the query to use during processing @param results the number of results to fetch. If null is provided,the default number of results will be requested. @param processingComponentClasses classes of components to perform processing inthe order they should be arranged in the pipeline. Each provided class must implement {@link IProcessingComponent}. @return results of the processing

                resourceLookupKey, 
                new ResourceLookup(new DirLocator(tempDir1.getPath()), classpathLocator),
                resourceReloadKey,
                true));
    
            final ProcessingResult result = ctrl1.process(
                Collections.<String, Object> emptyMap(), TestComponent.class);
            final ILexicalData data = result.getAttribute("english");


            assertTrue(data.isCommonWord(new MutableCharArray("uniquea")));
            assertFalse(data.isCommonWord(new MutableCharArray("uniqueb")));

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        final Controller ctrl2 = ControllerFactory.createPooling();
        {
            ctrl2.init(ImmutableMap.<String, Object> of(resourceLookupKey, 
                new ResourceLookup(new DirLocator(tempDir2.getPath()), classpathLocator)));
    
            final ProcessingResult result = ctrl2.process(
                Collections.<String, Object> emptyMap(), TestComponent.class);
            final ILexicalData data = result.getAttribute("english");


            assertFalse(data.isCommonWord(new MutableCharArray("uniquea")));
            assertTrue(data.isCommonWord(new MutableCharArray("uniqueb")));

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        final Controller controller = getCachingController(initAttributes, IClusteringAlgorithm.class);


        final Map<String, Object> processingAttributes = ImmutableMap.of(
            AttributeNames.DOCUMENTS, (Object) DOCUMENTS_DATA_MINING);


        controller.process(processingAttributes, getComponentClass());
        controller.process(processingAttributes, getComponentClass());


        controller.dispose();
    }

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        final Map<String, Object> processingAttributes = ImmutableMap.of(
            AttributeNames.DOCUMENTS, (Object) DOCUMENTS_DATA_MINING);


        controller.process(processingAttributes, getComponentClass());
        controller.process(processingAttributes, getComponentClass());


        controller.dispose();
    }


    /**

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                {
                    Map<String, Object> localAttributes = Maps.newHashMap();
                    localAttributes.put(AttributeNames.DOCUMENTS, SampleDocumentData.ALL
                        .get(dataSetIndex % SampleDocumentData.ALL.size()));
                    localAttributes.put("dataSetIndex", dataSetIndex);
                    return controller.process(localAttributes, getComponentClass());
                }
            });
        }


        try

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    public ProcessingResult cluster(Collection<Document> documents)
    {
        processingAttributes.put(AttributeNames.DOCUMENTS, documents);
        Controller controller = getSimpleController(initAttributes);
        try {
            ProcessingResult process = controller.process(processingAttributes, getComponentClass());
            return process;
        } finally {
            controller.dispose();
            super.simpleController = null;
        }

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                callables.add(new Callable<ProcessingResult>()
                {
                    public ProcessingResult call() throws Exception
                    {
                        Map<String, Object> localAttributes = Maps.newHashMap(attributes);
                        return controller.process(localAttributes, getComponentClass());
                    }
                });
            }
    
            final List<Future<ProcessingResult>> results = executorService.invokeAll(callables);

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                        CommonAttributesDescriptor.attributeBuilder(processingAttrs)
                            .documents(prepareDocumentsForClustering(clusteringRequest, response))
                            .query(clusteringRequest.getQueryHint());
        
                        final long tsClusteringStart = System.nanoTime();
                        final ProcessingResult result = controller.process(processingAttrs, algorithmId);
                        final DocumentGroup[] groups = adapt(result.getClusters());
                        final long tsClusteringEnd = System.nanoTime();


                        final Map<String,String> info = ImmutableMap.<String,String> builder()
                                .put(ClusteringActionResponse.Fields.Info.ALGORITHM, algorithmId)

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