List of usage examples for java.util ArrayList set
public E set(int index, E element)
From source file:com.clustercontrol.notify.composite.NotifyListComposite.java
/** * ?????//w w w . ja va 2s .c om * * @see com.clustercontrol.notify.action.GetNotifyTableDefineCheckBox#get() * @see #update() */ private void initialize() { GridLayout layout = new GridLayout(1, true); this.setLayout(layout); layout.marginHeight = 0; layout.marginWidth = 0; final Table table = new Table(this, SWT.MULTI | SWT.H_SCROLL | SWT.V_SCROLL | SWT.FULL_SELECTION); WidgetTestUtil.setTestId(this, null, table); table.setHeaderVisible(true); table.setLinesVisible(true); GridData gridData = new GridData(); gridData.horizontalAlignment = GridData.FILL; gridData.verticalAlignment = GridData.FILL; gridData.grabExcessHorizontalSpace = true; gridData.grabExcessVerticalSpace = true; table.setLayoutData(gridData); // ?? this.tableViewer = new CommonTableViewer(table); if (this.isSelect) { this.tableViewer.createTableColumn(GetNotifyTableDefineCheckBox.get(), GetNotifyTableDefineCheckBox.SORT_COLUMN_INDEX, GetNotifyTableDefineCheckBox.SORT_ORDER); } else { this.tableViewer.createTableColumn(GetNotifyTableDefineNoCheckBox.get(), GetNotifyTableDefineNoCheckBox.SORT_COLUMN_INDEX1, GetNotifyTableDefineNoCheckBox.SORT_COLUMN_INDEX2, GetNotifyTableDefineNoCheckBox.SORT_ORDER); // ??????????????? for (int i = 0; i < table.getColumnCount(); i++) { table.getColumn(i).setMoveable(true); } // ? this.tableViewer.addDoubleClickListener(new NotifyDoubleClickListener(this)); } if (this.isSelect) { /**???*/ table.addSelectionListener(new SelectionAdapter() { @Override public void widgetSelected(SelectionEvent e) { //???TableColumn???? TableItem[] ti = table.getSelection(); for (int i = 0; i < ti.length; i++) { @SuppressWarnings("unchecked") ArrayList<Object> al = (ArrayList<Object>) ti[i].getData(); WidgetTestUtil.setTestId(this, "tableitem" + i, ti[i]); if ((Boolean) al.get(0)) { //YES?NO al.set(GetNotifyTableDefineCheckBox.SELECTION, false); } else { //NO?YES al.set(GetNotifyTableDefineCheckBox.SELECTION, true); } } //???????? tableViewer.refresh(); } }); } else { // ??? this.totalLabel = new Label(this, SWT.RIGHT); WidgetTestUtil.setTestId(this, "total", totalLabel); gridData = new GridData(); gridData.horizontalAlignment = GridData.FILL; gridData.verticalAlignment = GridData.FILL; this.totalLabel.setLayoutData(gridData); } }
From source file:com.google.android.apps.dashclock.ExtensionManager.java
public List<ExtensionWithData> getInternalActiveExtensionsWithData() { // Extract the data from the all active extension cache List<ComponentName> internalActiveExtensions = getInternalActiveExtensionNames(); ArrayList<ExtensionWithData> activeExtensions = new ArrayList<>( Arrays.asList(new ExtensionWithData[internalActiveExtensions.size()])); synchronized (mActiveExtensions) { for (ExtensionWithData ewd : mActiveExtensions) { int pos = internalActiveExtensions.indexOf(ewd.listing.componentName()); if (pos >= 0) { activeExtensions.set(pos, ewd); }/*from w w w .ja v a 2s.c om*/ } } // Clean any null/unset data int count = activeExtensions.size(); for (int i = count - 1; i >= 0; i--) { if (activeExtensions.get(i) == null) { activeExtensions.remove(i); } } return activeExtensions; }
From source file:org.openmeetings.app.remote.ChatService.java
/** * sends a Chat-Message/*from w ww . java 2s .co m*/ * to all members of the Chatroom * and all additional users (waitng for a free entry for example) * @param newMessage * @return */ @SuppressWarnings({ "rawtypes", "unchecked" }) public int sendMessageWithClient(Object newMessage) { try { IConnection current = Red5.getConnectionLocal(); RoomClient currentClient = this.clientListManager.getClientByStreamId(current.getClient().getId()); Long room_id = currentClient.getRoom_id(); log.debug("room_id: " + room_id); log.debug("currentClient.getIsChatNotification(): " + currentClient.getIsChatNotification()); if (currentClient.getIsChatNotification()) { room_id = currentClient.getChatUserRoomId(); } //log.error(newMessage.getClass().getName()); ArrayList messageMap = (ArrayList) newMessage; //adding delimiter space, cause otherwise an emoticon in the last string would not be found String messageText = messageMap.get(4).toString() + " "; //log.error("messageText"+messageText); //add server time messageMap.set(1, parseDateAsTimeString()); LinkedList<String[]> parsedStringObjects = ChatString.getInstance().parseChatString(messageText); //log.error("parsedStringObjects"+parsedStringObjects.size()); log.debug("size:" + messageMap.size()); messageMap.add(parsedStringObjects); newMessage = messageMap; HashMap<String, Object> hsm = new HashMap<String, Object>(); hsm.put("client", currentClient); hsm.put("message", newMessage); List<HashMap<String, Object>> myChatList = myChats.get(room_id); if (myChatList == null) myChatList = new LinkedList<HashMap<String, Object>>(); if (myChatList.size() == chatRoomHistory) myChatList.remove(0); myChatList.add(hsm); myChats.put(room_id, myChatList); log.debug("SET CHATROOM: " + room_id); //broadcast to everybody in the room/domain Collection<Set<IConnection>> conCollection = current.getScope().getConnections(); for (Set<IConnection> conset : conCollection) { for (IConnection conn : conset) { if (conn != null) { if (conn instanceof IServiceCapableConnection) { RoomClient rcl = this.clientListManager.getClientByStreamId(conn.getClient().getId()); if (rcl == null) { continue; } if (rcl.getIsAVClient()) { continue; } if (rcl.getIsScreenClient() != null && rcl.getIsScreenClient()) { continue; } log.debug("*..*idremote room_id: " + room_id); log.debug("*..*my idstreamid room_id: " + rcl.getRoom_id()); if (room_id != null && room_id.equals(rcl.getRoom_id())) { ((IServiceCapableConnection) conn).invoke("sendVarsToMessageWithClient", new Object[] { hsm }, this); log.debug("sending sendVarsToMessageWithClient to " + conn); } else if (rcl.getIsChatNotification()) { if (room_id.equals(rcl.getChatUserRoomId()) && room_id != null) { ((IServiceCapableConnection) conn).invoke("sendVarsToMessageWithClient", new Object[] { hsm }, this); } } } } } } } catch (Exception err) { log.error("[ChatService sendMessageWithClient] ", err); return -1; } return 1; }
From source file:org.mmadsen.sim.transmissionlab.analysis.IndividualTraitFrequencyAnalyzer.java
private void updateCumTopNResidenceByTrait(List<Integer> curTraitsTopN) { int listPos = 0; for (Integer trait : curTraitsTopN) { if (this.cumTraitTopNResidenceTimes.containsKey(trait)) { // Because the ArrayList has been initialized to hold zeros for each trait in each // top N list position, if we've seen the trait before in the map we can get on // with the business of incrementing a count, whether that count is zero or not. Integer count = this.cumTraitTopNResidenceTimes.get(trait).get(listPos); count++;//from w w w.j av a2 s . c o m this.cumTraitTopNResidenceTimes.get(trait).set(listPos, count); } else { // First create a new ArrayList and initialize 0..topNListSize to 0 counts, // so all array positions are defined for the upper branch of the "if" ArrayList<Integer> traitCountList = new ArrayList<Integer>(); for (int i = 0; i < this.topNListSize; i++) { traitCountList.add(0); } // now increment the counter for the one trait/list position combo we're dealing with traitCountList.set(listPos, 1); this.cumTraitTopNResidenceTimes.put(trait, traitCountList); } listPos++; } }
From source file:com.amaze.carbonfilemanager.fragments.preference_fragments.Preffrag.java
/** * Dynamically enables autodisabled shortcuts, and disables inaccessible shortcuts when user * changes root access and hidden files visibility preferences. */// w w w.j av a 2s .co m private void setEnabledShortcuts() { ArrayList<String> predigestedPref = TinyDB.getList(sharedPref, String.class, FoldersPref.KEY, null); if (predigestedPref == null) return; ArrayList<FoldersPref.Shortcut> currentValue = castStringListToTrioList(predigestedPref); for (int i = 0; i < currentValue.size(); i++) { if (FoldersPref.canShortcutTo(currentValue.get(i).directory, sharedPref) && currentValue.get(i).autodisabled) { FoldersPref.Shortcut shortcut = new FoldersPref.Shortcut(currentValue.get(i).name, currentValue.get(i).directory, FoldersPref.Shortcut.TRUE); currentValue.set(i, shortcut); } else if (!FoldersPref.canShortcutTo(currentValue.get(i).directory, sharedPref) && currentValue.get(i).enabled) { FoldersPref.Shortcut shortcut = new FoldersPref.Shortcut(currentValue.get(i).name, currentValue.get(i).directory, FoldersPref.Shortcut.AUTOFALSE); currentValue.set(i, shortcut); } } TinyDB.putList(sharedPref, FoldersPref.KEY, FoldersPref.castTrioListToStringList(currentValue)); }
From source file:gr.iit.demokritos.cru.cps.ai.KeyphraseClustering.java
public ArrayList<String> getClusters() throws Exception { System.out.println("Clustering......"); // int[] clusters_size = new int[clusters]; HierarchicalClusterer cl = new HierarchicalClusterer(); // EM em=new EM(); // XMeans xm = new XMeans(); no nominal attributes // DBSCAN db= new DBSCAN(); not our distance function // CascadeSimpleKMeans c = new CascadeSimpleKMeans(); not our distance function cl.setNumClusters(this.clusters); if (language.equals("en")) { // cl.setDistanceFunction(wd); //xm.setDistanceF(wd); cl.setDistanceFunction(wd);/* ww w .j ava 2s . c o m*/ } else if (language.equals("de")) { cl.setDistanceFunction(wdde); //c.setDistanceFunction(wdde); //xm.setDistanceF(wdde); } else if (language.equals("el")) { cl.setDistanceFunction(wdel); //c.setDistanceFunction(wdel); // xm.setDistanceF(wdel); } cl.buildClusterer(data); //xm.buildClusterer(data); //c.setMaxIterations(5); ArrayList<String> clustersList = new ArrayList<String>(); for (int i = 0; i < cl.numberOfClusters(); i++) { clustersList.add(""); } //cl.buildClusterer(data); //em.buildClusterer(data); // xm.buildClusterer(data); for (int j = 0; j < data.numInstances(); j++) { //double[] prob = c.distributionForInstance(data.instance(j)); //double[] prob = cl.distributionForInstance(data.instance(j)); String clusterLine = data.instance(j).stringValue(0); int clust = cl.clusterInstance(data.instance(j)); clustersList.set(clust, clustersList.get(clust).concat(clusterLine + ";")); //take the probabilities prob[i] that it is in the coresponding cluster i /*for (int i = 0; i < prob.length; i++) { //keep the cluster that has prob>0.9, as this is the cluster that the word is in if (prob[i] > 0.9) { //keep for every cluster its terms clustersList.set(i, clustersList.get(i).concat(clusterLine + ";")); //keep the size of cluster i // clusters_size[i] = clusters_size[i] + 1; } }*/ } return clustersList; }
From source file:org.ala.spatial.web.services.LayerDistancesWSController.java
private String makeCSV(String type) { Map<String, Double> map = LayerDistanceIndex.loadDistances(); TreeSet<String> layerSet = new TreeSet<String>(); for (String k : map.keySet()) { String[] ks = k.split(" "); layerSet.add(ks[0]);//from ww w. j a v a 2 s.c om layerSet.add(ks[1]); } ArrayList<String> layerList = new ArrayList<String>(layerSet); //match against layers ArrayList<Layer> layerMatch = new ArrayList<Layer>(layerList.size()); for (int i = 0; i < layerList.size(); i++) { layerMatch.add(null); } List<Field> fields = Client.getFieldDao().getFields(); List<Layer> layers = Client.getLayerDao().getLayers(); for (int i = 0; i < layerList.size(); i++) { for (int j = 0; j < fields.size(); j++) { if (fields.get(j).getId().equals(layerList.get(i))) { for (int k = 0; k < layers.size(); k++) { if ((fields.get(j).getSpid() + "").equals(layers.get(k).getId() + "")) { layerMatch.set(i, layers.get(k)); break; } } break; } } } //output lower association matrix StringBuilder sb = new StringBuilder(); for (int i = 0; i < layerList.size(); i++) { if (i > 0) { if (type.equals("name")) { sb.append(layerMatch.get(i).getName()); } else if (type.equals("displayname")) { sb.append(layerMatch.get(i).getDisplayname()); } } sb.append(","); int size = (i == 0) ? layerList.size() - 1 : i; for (int j = 0; j < size; j++) { if (i == 0) { if (type.equals("name")) { sb.append(layerMatch.get(j).getName()); } else if (type.equals("displayname")) { sb.append(layerMatch.get(j).getDisplayname()); } } else { String key = (layerList.get(i).compareTo(layerList.get(j)) < 0) ? layerList.get(i) + " " + layerList.get(j) : layerList.get(j) + " " + layerList.get(i); if (key != null && map.get(key) != null) { sb.append(map.get(key)); } } if (j < size - 1) { sb.append(","); } } sb.append("\n"); } return sb.toString(); }
From source file:com.mythesis.userbehaviouranalysis.ProfileAnalysis.java
/** * finds the profiles that match user's interests given his web history * @param userID the user's id/* w ww . ja v a 2 s . c o m*/ * @param history the user's web history * @param input a txt file that contains the necessary parameters */ public void perform(String userID, String[] history, File input) { System.out.println("total urls = " + history.length); //default parameters //number of random queries for each profile int numQueriesSuggestion = 5; //number of random webpages per query to suggest - total number of suggestions = // numQueriesSuggestion*pagesPerQuerySuggestion int pagesPerQuerySuggestion = 1; //number of random queries to return as examples for alternatives profiles int numQueriesExample = 2; //we get the current date/time DateTime current = new DateTime(); DateTimeFormatter fmt = DateTimeFormat.forPattern("dd/MM/yyyy HH:mm"); String timestamp = fmt.print(current); //update user info - i'll store the results when i'll perform the last analysis Mongo mongo = new Mongo("localhost", 27017); DB db = mongo.getDB("profileAnalysis"); DBCollection userinfo = db.getCollection("userinfo"); BasicDBObject newDocument = new BasicDBObject(); newDocument.put("$set", new BasicDBObject().append("timestamp", timestamp)); BasicDBObject searchQuery = new BasicDBObject(); searchQuery.put("userID", userID); userinfo.update(searchQuery, newDocument, true, false); //read the neccessary parameters Utils utils = new Utils(); utils.readInput(input); HashMap<String, ArrayList<String>> wordvectors = utils.wordvectors; HashMap<String, String> crawlerOutputPaths = utils.crawlerOutputPaths; //get the urls' content ArrayList<String> webpages = new ArrayList<>(); ArrayList<String> urls = new ArrayList<>(); for (int i = 0; i < history.length; i++) { WebParser pageParser = new WebParser(history[i]); pageParser.parse(); String content = pageParser.getContent(); if ("".equals(content) || content == null) continue; webpages.add(content); urls.add(history[i]); } //calculate the urls' scores HashMap<String, double[]> historyScores = new HashMap<>(); String[] webpagesArr = new String[webpages.size()]; webpagesArr = webpages.toArray(webpagesArr); String[] urlsArr = new String[urls.size()]; urlsArr = urls.toArray(urlsArr); for (String profile : wordvectors.keySet()) { Scorer scorer = new Scorer(webpagesArr, urlsArr, wordvectors.get(profile)); double[] semanticScores = scorer.getSemanticScores(); double[] relevanceScores = scorer.getRelevanceScores(); double[] confidenceScores = scorer.getConfidenceScores(); double[] scores = scoreFormula(semanticScores, relevanceScores, confidenceScores); historyScores.put(profile, scores); } //find the maximum score of every url and get summation of the scores for each profile HashMap<String, Double> userProfilesScore = new HashMap<>(); for (int i = 0; i < webpages.size(); i++) { double max = 0.0; String info = "undefined"; for (String profile : historyScores.keySet()) { if (historyScores.get(profile)[i] > max) { max = historyScores.get(profile)[i]; info = profile; } } if (!"undefined".equals(info)) { Double prevscore = userProfilesScore.get(info); userProfilesScore.put(info, (prevscore == null) ? max : prevscore + max); } } //find which profile level has maximum score e.g. if football/level=0 score is greater //than football/level=1 score then the user is better described as a football/level=0 user HashMap<String, Double> userProfileScores = new HashMap<>(); HashMap<String, String> userProfileLevels = new HashMap<>(); for (String s : userProfilesScore.keySet()) { String[] info = s.split("/"); Double prevscore = userProfileScores.get(info[0] + "/" + info[1] + "/"); if (prevscore == null) { userProfileScores.put(info[0] + "/" + info[1] + "/", userProfilesScore.get(s)); userProfileLevels.put(info[0] + "/" + info[1] + "/", info[2]); } else if (userProfilesScore.get(s) > prevscore) { userProfileScores.put(info[0] + "/" + info[1] + "/", userProfilesScore.get(s)); userProfileLevels.put(info[0] + "/" + info[1] + "/", info[2]); } } //put the final profiles together in this simple form: domain/profile/level of expertise and rank them Double totalScore = 0.0; for (String s : userProfileScores.keySet()) totalScore += userProfileScores.get(s); Map<String, Double> userProfiles = new HashMap<>(); for (String s : userProfileLevels.keySet()) userProfiles.put(s + userProfileLevels.get(s), round(userProfileScores.get(s) * 100 / totalScore, 2)); userProfiles = sortByValue(userProfiles); //find page suggestions for every profile HashMap<String, ArrayList<String>> pageSuggestions = new HashMap<>(); for (String profile : userProfiles.keySet()) { String path = crawlerOutputPaths.get(profile); ArrayList<String> suggestions = getSuggestions(path, numQueriesSuggestion, pagesPerQuerySuggestion, history); pageSuggestions.put(profile, suggestions); } //find alternative profiles for every profile and representative queries HashMap<String, HashMap<String, ArrayList<String>>> alternativeProfiles = new HashMap<>(); for (String userProfile : userProfiles.keySet()) { String[] userProfileInfo = userProfile.split("/"); HashMap<String, ArrayList<String>> profileQueries = new HashMap<>(); for (String profile : wordvectors.keySet()) { String[] profileInfo = profile.split("/"); if (profileInfo[0].equals(userProfileInfo[0]) && profileInfo[1].equals(userProfileInfo[1]) && !profileInfo[2].equals(userProfileInfo[2])) { String path = crawlerOutputPaths.get(profile); ArrayList<String> queries = getQueries(path, numQueriesExample); for (int i = 0; i < queries.size(); i++) { String query = queries.get(i); queries.set(i, query.substring(query.lastIndexOf("\\") + 1).replace("-query", "") .replace("+", " ")); } profileQueries.put(profile, queries); } } alternativeProfiles.put(userProfile, profileQueries); } //prepare JSON response JSONObject response = new JSONObject(); response.put("userID", userID); response.put("timestamp", timestamp); JSONArray list = new JSONArray(); for (String profile : userProfiles.keySet()) { JSONObject profileInfo = new JSONObject(); profileInfo.put("profile", profile); profileInfo.put("score", userProfiles.get(profile)); JSONArray temp = new JSONArray(); ArrayList<String> suggestions = pageSuggestions.get(profile); for (String s : suggestions) temp.add(s); profileInfo.put("suggestions", temp); JSONArray alternativesArray = new JSONArray(); for (String s : alternativeProfiles.get(profile).keySet()) { JSONObject alternativeInfo = new JSONObject(); alternativeInfo.put("alternative", s); ArrayList<String> queries = alternativeProfiles.get(profile).get(s); JSONArray queriesArray = new JSONArray(); for (String str : queries) { queriesArray.add(str); } alternativeInfo.put("queries", queriesArray); alternativesArray.add(alternativeInfo); } profileInfo.put("alternatives", alternativesArray); list.add(profileInfo); } response.put("profiles", list); System.out.println("JSON response is ready: " + response); //delete previous analysis and store results DBCollection collection = db.getCollection("history"); BasicDBObject previous = new BasicDBObject(); previous.put("userID", userID); collection.remove(previous); DBObject dbObject = (DBObject) JSON.parse(response.toString()); collection.insert(dbObject); System.out.println("I saved the analysis..."); }
From source file:edu.nyu.vida.data_polygamy.exp.NoiseExp.java
public HashMap<String, Attribute> addNoise(double increase) { HashMap<String, Attribute> newAttributes = new HashMap<String, Attribute>(); for (String att : attributes.keySet()) { if (!(dataAttributesHashSet.contains(att))) continue; Attribute attribute = attributes.get(att); double increment = iqr.get(att) / 10000.0; for (int month : attribute.data.keySet()) { ArrayList<SpatioTemporalVal> arr = attribute.data.get(month); for (int j = 0; j < arr.size(); j++) { SpatioTemporalVal val = arr.get(j); float noiseIncrement = (float) (r.nextGaussian() * increment * increase); val.setVal(val.getVal() + noiseIncrement); arr.set(j, val); }//from www.j a v a 2s .com attribute.data.put(month, arr); } newAttributes.put(att, attribute); } return newAttributes; }
From source file:com.lgallardo.qbittorrentclient.RSSFeedActivity.java
private void editRssFeed(final int position, final RSSFeed rssFeed) { // get prompts.xml view LayoutInflater li = LayoutInflater.from(this); View addTorrentView = li.inflate(R.layout.add_rss, null); // URL input/*ww w . jav a 2 s .c o m*/ final EditText rssFeedUrlInput = (EditText) addTorrentView.findViewById(R.id.rssFeedUrl); final EditText rssFeedNameInput = (EditText) addTorrentView.findViewById(R.id.rssFeedName); final EditText rssFeedFilterInput = (EditText) addTorrentView.findViewById(R.id.rssFeedFilter); final CheckBox rssFeedAutoDownloadInput = (CheckBox) addTorrentView.findViewById(R.id.rssFeedAutodownload); final CheckBox rssFeedNotifyNewInput = (CheckBox) addTorrentView.findViewById(R.id.rssFeedNotifyNew); // Set dialog's values rssFeedUrlInput.setText(rssFeed.getChannelLink()); rssFeedNameInput.setText(rssFeed.getChannelTitle()); rssFeedFilterInput.setText(rssFeed.getChannelFilter()); rssFeedAutoDownloadInput.setChecked(rssFeed.getAutodDownload()); rssFeedNotifyNewInput.setChecked(rssFeed.getNotifyNew()); if (rssFeed != null) { if (!isFinishing()) { // Dialog AlertDialog.Builder builder = new AlertDialog.Builder(this); // Set add_torrent.xml to AlertDialog builder builder.setView(addTorrentView); // Cancel builder.setNeutralButton(R.string.cancel, new DialogInterface.OnClickListener() { public void onClick(DialogInterface dialog, int id) { // User cancelled the dialog } }); // Ok builder.setPositiveButton(R.string.ok, new DialogInterface.OnClickListener() { public void onClick(DialogInterface dialog, int id) { // User accepted the dialog // Log.d("Debug", "RSS filter: " + rssFeedFilterInput.getText().toString()); // Get values from dialog view String title = rssFeedNameInput.getText().toString(); String link = rssFeedUrlInput.getText().toString(); String filter = rssFeedFilterInput.getText().toString(); boolean autoDownload = rssFeedAutoDownloadInput.isChecked() ? true : false; boolean notifyNew = rssFeedNotifyNewInput.isChecked() ? true : false; //Save RSS feed if (link != null && !link.isEmpty()) { if (title == null || title.isEmpty()) { title = link; } rssFeed.setChannelTitle(title); rssFeed.setChannelLink(link); rssFeed.setChannelFilter(filter); rssFeed.setAutodDownload(autoDownload); rssFeed.setNotifyNew(notifyNew); // // // // Refresh channel list // mSwipeRefreshLayout.setRefreshing(true); // new rssFeedsTask().execute(); ArrayList<RSSFeed> rssChannels = myadapter.getRssChannels(); rssChannels.set(position, rssFeed); myadapter.setRssChannels(rssChannels); myadapter.notifyDataSetChanged(); // Save all; rss_feeds = ""; for (int i = 0; i < rssChannels.size(); i++) { RSSFeed rssFeed = rssChannels.get(i); // Log.d("Debug", "Saving: " + rssFeed.getChannelTitle() + ";" + rssFeed.getChannelLink() + ";" + rssFeed.getChannelPubDate() + ";" + rssFeed.getAutodDownload() + ";" + rssFeed.getNotifyNew()); saveRssFeed(rssFeed.getChannelTitle(), rssFeed.getChannelLink(), rssFeed.getChannelFilter(), rssFeed.getChannelPubDate(), rssFeed.getAutodDownload(), rssFeed.getNotifyNew()); } } } }); // Create dialog AlertDialog dialog = builder.create(); // Show dialog dialog.show(); } } }